bluuebunny/crossref_metadata_2025 huggingface dataset:
Double Coherent Scatter Radars Observations of the Daytime F‐Region Irregularities in Low‐Latitudes on 29 May 2017
Authors: Hu Pengfei , Chen Gang , Li Guozhu , Yan Chunxiao , Zhang Shaodong , Yang Guotao , Li Yaxian , He Zhiqiu , Jia Wei , Zhang Min
Published: December 2022

In the morning on 29 May 2017, the Sanya very‐high‐frequency Radar and the Hainan COherent Scatter Phased Array Radar (HCOPAR) at Fuke were cooperated with similar operating frequencies to investigate the dissipation of the daytime F‐region Field‐Aligned Irregularities (FAIs). The two radars are located on south and north sides of the Hainan island of China, and the distance between them is about 140 km. The Sanya VHF radar recorded the FAIs between 00:12 and 02:42 UT (07:12 and 09:42 LT), and the FAIs observed by the HCOPAR appeared more than 10 min later at lower altitudes and suffered severe dissipation. The echoes emerged in all the beams simultaneously, and their Doppler velocities were close to zero, implying that the daytime FAIs were traveling along the magnetic field lines downward and northward with almost no zonal velocity. The front and bottom edges of the irregularities decayed earlier, and the parts in the FAIs with steeper density gradient lasted longer. The dissipation mechanism is attributed primarily to the photoionization and diffusing across the geomagnetic field in different period and gradient of the irregularities.
Geomagnetically Induced Current Modeling in New Zealand: Extreme Storm Analysis Using Multiple Disturbance Scenarios and Industry Provided Hazard Magnitudes
Authors: Mac Manus D. H. , Rodger C. J. , Dalzell M. , Renton A. , Richardson G. S. , Petersen T. , Clilverd M. A.
Published: December 2022

Geomagnetically induced currents (GICs) are induced in electrical power transmission networks during geomagnetic disturbances. Understanding the magnitude and duration of the GIC expected during worst‐case extreme storm scenarios is vital to estimate potential damages and disruptions to power networks. In this study we utilize the magnetic field waveforms measured during three large geomagnetic storms and scale them to expected worst case extreme storm magnitudes. Multiple methods are used to simulate the varying magnitude of the magnetic field across the different latitudes of New Zealand. Modeled GIC is produced for nine extreme storm scenarios, each covering 1–1.5 days in duration. Our industry partners, Transpower New Zealand Ltd provided GIC magnitude and duration levels which represent a risk to their transformers. Using these thresholds various extreme storm scenarios predict between 44 and 115 New Zealand transformers (13%–35%) are at risk of damaging levels of GIC. The transformers at risk are largely independent of the extreme storm time‐variations, but depend more on the latitude variation scenario. We show that these at‐risk transformers are not localized to any specific region of New Zealand but extend across all regions and include most of the major population centers. A peak mean absolute GIC over a 60‐min window of 920–2,210 A and an instantaneous 1‐min time resolution maximum GIC of 1,590–4,920 A occurs for a worst‐case extreme storm scenario. We believe this is one of the first studies to combine a reasonable worst‐case extreme geomagnetic storm with validated GIC modeling and industry‐provided GIC risk thresholds.
Small molecules in the treatment of COVID-19
Authors: Lei Sibei , Chen Xiaohua , Wu Jieping , Duan Xingmei , Men Ke
Published: December 2022

The outbreak of COVID-19 has become a global crisis, and brought severe disruptions to societies and economies. Until now, effective therapeutics against COVID-19 are in high demand. Along with our improved understanding of the structure, function, and pathogenic process of SARS-CoV-2, many small molecules with potential anti-COVID-19 effects have been developed. So far, several antiviral strategies were explored. Besides directly inhibition of viral proteins such as RdRp and Mpro, interference of host enzymes including ACE2 and proteases, and blocking relevant immunoregulatory pathways represented by JAK/STAT, BTK, NF-κB, and NLRP3 pathways, are regarded feasible in drug development. The development of small molecules to treat COVID-19 has been achieved by several strategies, including computer-aided lead compound design and screening, natural product discovery, drug repurposing, and combination therapy. Several small molecules representative by remdesivir and paxlovid have been proved or authorized emergency use in many countries. And many candidates have entered clinical-trial stage. Nevertheless, due to the epidemiological features and variability issues of SARS-CoV-2, it is necessary to continue exploring novel strategies against COVID-19. This review discusses the current findings in the development of small molecules for COVID-19 treatment. Moreover, their detailed mechanism of action, chemical structures, and preclinical and clinical efficacies are discussed.
Seeded free-electron laser driven by a compact laser plasma accelerator
Authors: Labat Marie , Cabadağ Jurjen Couperus , Ghaith Amin , Irman Arie , Berlioux Anthony , Berteaud Philippe , Blache Frédéric , Bock Stefan , Bouvet François , Briquez Fabien , Chang Yen-Yu , Corde Sébastien , Debus Alexander , De Oliveira Carlos , Duval Jean-Pierre , Dietrich Yannick , El Ajjouri Moussa , Eisenmann Christoph , Gautier Julien , Gebhardt René , Grams Simon , Helbig Uwe , Herbeaux Christian , Hubert Nicolas , Kitegi Charles , Kononenko Olena , Kuntzsch Michael , LaBerge Maxwell , Lê Stéphane , Leluan Bruno , Loulergue Alexandre , Malka Victor , Marteau Fabrice , Guyen Manh Huy N. , Oumbarek-Espinos Driss , Pausch Richard , Pereira Damien , Püschel Thomas , Ricaud Jean-Paul , Rommeluere Patrick , Roussel Eléonore , Rousseau Pascal , Schöbel Susanne , Sebdaoui Mourad , Steiniger Klaus , Tavakoli Keihan , Thaury Cédric , Ufer Patrick , Valléau Mathieu , Vandenberghe Marc , Vétéran José , Schramm Ulrich , Couprie Marie-Emmanuelle
Published: December 2022

Free-electron lasers generate high-brilliance coherent radiation at wavelengths spanning from the infrared to the X-ray domains. The recent development of short-wavelength seeded free-electron lasers now allows for unprecedented levels of control on longitudinal coherence, opening new scientific avenues such as ultra-fast dynamics on complex systems and X-ray nonlinear optics. Although those devices rely on state-of-the-art large-scale accelerators, advancements on laser-plasma accelerators, which harness gigavolt-per-centimetre accelerating fields, showcase a promising technology as compact drivers for free-electron lasers. Using such footprint-reduced accelerators, exponential amplification of a shot-noise type of radiation in a self-amplified spontaneous emission configuration was recently achieved. However, employing this compact approach for the delivery of temporally coherent pulses in a controlled manner has remained a major challenge. Here we present the experimental demonstration of a laser-plasma accelerator-driven free-electron laser in a seeded configuration, where control over the radiation wavelength is accomplished. Furthermore, the appearance of interference fringes, resulting from the interaction between the phase-locked emitted radiation and the seed, confirms longitudinal coherence. Building on our scientific achievements, we anticipate a navigable pathway to extreme-ultraviolet wavelengths, paving the way towards smaller-scale free-electron lasers, unique tools for a multitude of applications in industry, laboratories and universities.
Evidence that direct inhibition of transcription factor binding is the prevailing mode of gene and repeat repression by DNA methylation
Authors: Kaluscha Sebastian , Domcke Silvia , Wirbelauer Christiane , Stadler Michael B. , Durdu Sevi , Burger Lukas , Schübeler Dirk
Published: December 2022

Cytosine methylation efficiently silences CpG-rich regulatory regions of genes and repeats in mammalian genomes. To what extent this entails direct inhibition of transcription factor (TF) binding versus indirect inhibition via recruitment of methyl-CpG-binding domain (MBD) proteins is unclear. Here we show that combinatorial genetic deletions of all four proteins with functional MBDs in mouse embryonic stem cells, derived neurons or a human cell line do not reactivate genes or repeats with methylated promoters. These do, however, become activated by methylation-restricted TFs if DNA methylation is removed. We identify several causal TFs in neurons, including ONECUT1, which is methylation sensitive only at a motif variant. Rampantly upregulated retrotransposons in methylation-free neurons feature a CRE motif, which activates them in the absence of DNA methylation via methylation-sensitive binding of CREB1. Our study reveals methylation-sensitive TFs in vivo and argues that direct inhibition, rather than indirect repression by the tested MBD proteins, is the prevailing mechanism of methylation-mediated repression at regulatory regions and repeats.
Structural insights into the regulation of Cas7-11 by TPR-CHAT
Authors: Ekundayo Babatunde , Torre Davide , Beckert Bertrand , Nazarov Sergey , Myasnikov Alexander , Stahlberg Henning , Ni Dongchun
Published: December 2022

The CRISPR-guided caspase (Craspase) complex is an assembly of the target-specific RNA nuclease known as Cas7-11 bound to CRISPR RNA (crRNA) and an ancillary protein known as TPR-CHAT (tetratricopeptide repeats (TPR) fused with a CHAT domain). The Craspase complex holds promise as a tool for gene therapy and biomedical research, but its regulation is poorly understood. TPR-CHAT regulates Cas7-11 nuclease activity via an unknown mechanism. In the present study, we use cryoelectron microscopy to determine structures of the Desulfonema magnum (Dm) Craspase complex to gain mechanistic insights into its regulation. We show that DmTPR-CHAT stabilizes crRNA-bound DmCas7-11 in a closed conformation via a network of interactions mediated by the DmTPR-CHAT N-terminal domain, the DmCas7-11 insertion finger and Cas11-like domain, resulting in reduced target RNA accessibility and cleavage.
Impact of beverage temperature on consumer preferences for black coffee
Authors: Ristenpart William D. , Cotter Andrew R. , Guinard Jean-Xavier
Published: December 2022

We recently performed a systematic investigation of consumer preferences for black coffee versus key brewing parameters, including total dissolved solids, extraction yield, and brewing temperature (Cotter et al. in J Food Sci 86(1):194–205, 2021. https://doi.org/10.1111/1750-3841.15561). An experimental goal in that work was for participants to taste the coffee at a beverage temperature of 65 °C, but the large sample size of more than 3000 individual tastings, combined with natural variations in the brewing and cooling processes, meant that coffees were assessed over a normally distributed range of temperatures between 56 and 71 °C. Here we use those data to provide a more detailed analysis of the impact of beverage temperature on consumer acceptance of the coffee, with a key objective of identifying beverage temperatures at which no consumers assess the coffee either as too hot or too cold. Using a 5-point just-about-right (JAR) scale, we find that a majority of consumers (> 50%) assessed the temperature as JAR at all temperatures tested up to 70 °C. A substantial fraction of consumers, approximately 6–12%, assessed the coffee as too cold over the range 56–68 °C. Only above 70 °C did a majority of consumers assess the coffee as too hot and none assessed it as too cold, albeit with 40% still assessing it as JAR. Complementary analyses indicate that beverage temperature over this range had little impact on assessments of the adequacy of flavor intensity, acidity, and mouthfeel, but did correlate slightly with overall liking and purchase intent. Overall, the results suggest that temperatures over the range of 58–66 °C maximize consumer acceptance, and that 68–70 °C is the minimum temperature range at which no consumers will assess black coffee as too cold.
Improvements to seismicity forecasting based on a Bayesian spatio-temporal ETAS model
Authors: Ebrahimian Hossein , Jalayer Fatemeh , Maleki Asayesh Behnam , Hainzl Sebastian , Zafarani Hamid
Published: December 2022

The epidemic-type aftershock sequence (ETAS) model provides an effective tool for predicting the spatio-temporal evolution of aftershock clustering in short-term. Based on this model, a fully probabilistic procedure was previously proposed by the first two authors for providing spatio-temporal predictions of aftershock occurrence in a prescribed forecasting time interval. This procedure exploited the versatility of the Bayesian inference to adaptively update the forecasts based on the incoming information provided by the ongoing seismic sequence. In this work, this Bayesian procedure is improved: (1) the likelihood function for the sequence has been modified to properly consider the piecewise stationary integration of the seismicity rate; (2) the spatial integral of seismicity rate over the whole aftershock zone is calculated analytically; (3) background seismicity is explicitly considered within the forecasting procedure; (4) an adaptive Markov Chain Monte Carlo simulation procedure is adopted; (5) leveraging the stochastic sequences generated by the procedure in the forecasting interval, the N-test and the S-test are adopted to verify the forecasts. This framework is demonstrated and verified through retrospective early forecasting of seismicity associated with the 2017–2019 Kermanshah seismic sequence activities in western Iran in two distinct phases following the main events with Mw7.3 and Mw6.3, respectively.
Microscopic revelation of the solid–gas coupling and Knudsen effect on the thermal conductivity of silica aerogel with inter-connected pores
Authors: Liu Jing , Buahom Piyapong , Lu Chang , Yu Haiyan , Park Chul B.
Published: December 2022

As a star insulation material, aerogel plays a significant role in saving energy and meeting temperature requirements in industry due to its extremely low thermal conductivity. The prediction of aerogel’s thermal conductivity is of great interest in both research and industry, particularly because of the difficulty in measuring the separated gas conductivities directly by experiment. Hence, the proportions of separated gas conduction and solid–gas coupling conduction are debatable. In this work, molecular dynamics simulations were performed on porous silica aerogel systems to determine their thermal conductivities directly. The pore size achieved in the present study was improved significantly, making it possible to include the gas phase in the investigation of aerogel thermal conductivity. The separated solid conductivity $${\lambda }_{s}$$

λ
s

and the separated gas thermal conductivity $${\lambda }_{g}$$

λ
g

as well as the effective solid conductivity $${\lambda }_{s}^{e}$$

λ

s

e

and the effective gas conductivity $${\lambda }_{g}^{e}$$

λ

g

e

were calculated. The results suggest that the solid–gas coupling effect is negligible in rarefied gas because the enhancement of thermal conduction due to the short cut bridging effect by gas between gaps in the solid is limited. The gas pressure is the most significant factor that affects the solid–gas coupling effect. The large differential between the prediction and the actual value of the thermal conductivity is mainly from the underestimate of $${\lambda }_{g}$$

λ
g

, and not because of ignoring the coupling effect. As a conclusion, the solid–gas coupling effect can be neglected in the prediction of silica aerogel’s thermal conductivity at low and moderate gas pressure, i.e., decreasing the gas pressure is the most efficient way to suppress the coupling effect. The findings could be used in multi-scale simulations and be beneficial for improving the accuracy of predictions of aerogel thermal conductivity.
Drivers of habitat quality for a reintroduced elk herd
Authors: Quinlan Braiden A. , Rosenberger Jacalyn P. , Kalb David M. , Abernathy Heather N. , Thorne Emily D. , Ford W. Mark , Cherry Michael J.
Published: December 2022

Understanding spatiotemporal variation in habitat quality is essential for guiding wildlife reintroduction and restoration programs. The habitat productivity hypothesis posits that home range size is inversely related to habitat quality. Thus, home range size may be used as a proxy for habitat quality and can identify important land cover features for a recovering species. We sought to quantify variation in home range size across the biological cycle (seasons) for a reintroduced elk (Cervus canadensis) population in southwestern Virginia, USA and quantify habitat quality by linking home range sizes to the land cover types they contain using linear mixed-effects models. We found mean home range size was largest during late gestation for female elk. Additionally, throughout the year, smaller home ranges were associated with larger proportions of non-forested habitats whereas forested habitats were generally the opposite. However, both presumed poor- and high-quality habitats influenced female elk space use. Our approach revealed spatial variation in habitat quality for a recovering elk herd, demonstrated the importance of non-forested habitats to elk, can guide decisions regarding the location of future elk reintroduction programs, and serve as a model for evaluating habitat quality associated with wildlife reintroductions.
Postoperative acromiohumeral interval affects shoulder range of motions following reverse total shoulder arthroplasty
Authors: Kim Du-Han , Choi Hyeong-Uk , Choi Byung-Chan , Kim Ji-Hoon , Cho Chul-Hyun
Published: December 2022

Reverse total shoulder arthroplasty (RTSA) improves function and reduces pain for patients with complex shoulder problems. However, there is a lack of literature regarding the association of radiographic parameters on clinical outcomes after RTSA. The aim of this study was to analyze various radiographic parameters that may be predictive of clinical outcomes after RTSA. A total of 55 patients treated with RTSA were enrolled. Shoulder radiographic parameters were used for measurement of critical shoulder angle, acromial index, acromiohumeral interval, deltoid lever arm, acromial angulation, glenoid version, and acromial height. Preoperative and postoperative clinical outcomes were evaluated at a minimum 2-year follow-up. An analysis of correlations between radiographic parameters and clinical outcomes was then performed. A significant change in critical shoulder angle, acromiohumeral interval, and deltoid lever arm was observed between preoperative and postoperative radiographic measurements. A significant improvement was observed in all clinical outcomes and range of motions from preoperative to postoperative (all p < 0.001). A negative correlation of postoperative acromiohumeral interval with forward flexion (r = − 0.270; p = 0.046), external rotation (r = − 0.421; p = 0.001), and internal rotation (r = 0.275; p = 0.042) was observed at final follow-up. In addition, postoperative acromiohumeral interval less than 29 mm had an 86% positive predictive value of obtaining 130° of forward flexion and 45° of external rotation. It was found that postoperative acromiohumeral interval showed an association with active range of motion in patients who underwent RTSA. In particular, excessive distalization reduced forward flexion and external rotation motion of the shoulder in patients treated with RTSA.
Role of androgen receptor signaling pathway-related lncRNAs in the prognosis and immune infiltration of breast cancer
Authors: Huang Guo , Cao Hong , Liu Guowen , Chen Juan
Published: December 2022

Androgen receptor (AR) is strong association with breast cancer (BRCA). We aimed to investigate the effect of the androgen receptor signaling pathway-related long non-coding RNAs (ARSP-related lncRNAs) on the process of subtype classification and the tumor microenvironment (TME) of breast cancer (BRCA). Our study screen ARSP-related lncRNAs for the construction of a risk model. The single-sample gene set enrichment analysis (ssGSEA) method was used to detect the differences between the immune responses generated by the patients belonging to the low- and high-risk groups. The relationship between the ARSP-related lncRNAs and TME was explored following the process of cluster analysis. The univariate Cox analysis and the Lasso regression analysis method was used to screen nine of these lncRNAs to develop a risk model. It was observed that risk score could function as an independent prognostic factor, affecting the prognoses of patients suffering from BRCA. The validity of the model was assessed by analyzing the generated calibration curves and a nomogram. Additionally, the effect of the risk score on the extent of immune cell infiltration realized in TME was explored. M2 macrophages correlated positively, whereas NK cells, CD4+ T cells, and naive B cells correlated negatively with the risk score. Results obtained using the cluster analysis indicated that immune scores correlated with clustered subtypes. Finally, the risk score and cluster subtypes were analyzed to study the sensitivity of the patients toward different drugs to identify the appropriate therapeutic agents. The prognoses of patients suffering from BRCA can be accurately predicted by ARSP-related lncRNAs.
Health behaviors and psychological burden of adolescents after parental cancer diagnosis
Authors: Kim Kyae Hyung , Kim Min Sun , Choi Seulggie , Kim Sung Min , Park Sang Min
Published: December 2022

This study aims to investigate health behaviors and psychological burdens in adolescent children of cancer parents. We compared health behaviors and mental health outcomes between 266 adolescent children with a parent diagnosed with cancer and 3163 control adolescents aged 12–19 years using data from the Korean National Health and Nutrition Examination Survey (KNHANES) from 2010 to 2018. Alcohol use of adolescents increased between 2 and 5 years after parental cancer diagnosis (adjusted odds ratio [aOR], 1.72; 95% confidence interval [CI], 1.01–2.94) but decreased after 5 years. Parental cancer was associated with increased vaccination uptake in adolescents within 1 year of diagnosis (aOR, 3.19; 95% CI, 1.55–6.54), but after 2 years, there was no difference from rates in their peers. Maternal cancer was associated with increased depression among adolescents (aOR, 1.73; 95% CI, 1.10 − 2.73). Although the risks of suicidal thoughts/plans/attempts increased within 1 year after parental cancer diagnosis (aOR, 2.96; 95% CI, 1.00 − 8.83), it reduced 2 years after diagnosis, leading to no significant difference from the frequency in peers. Within five years after the parent was diagnosed with cancer, support for their adolescent children's health behaviors and mental health is necessary in the community.
Item format statistics and readability of extended matching questions as an effective tool to assess medical students
Authors: Frey Anna , Leutritz Tobias , Backhaus Joy , Hörnlein Alexander , König Sarah
Published: December 2022

Testing based on multiple choice questions (MCQ) is one of the most established forms of assessment, not only in the medical field. Extended matching questions (EMQ) represent a specific type of MCQ designed to require higher levels of cognition, such as problem-solving. The purpose of this evaluation was to assess the suitability and efficiency of EMQ as an assessment method. EMQ were incorporated into the end-of-semester examination in internal medicine, in which 154 students participated, and compared with three established MCQ types. Item and examination quality were investigated, as well as readability and processing time. EMQ were slightly more difficult to score; however, both item discrimination and discrimination index were higher when compared to other item types. EMQ were found to be significantly longer and required more processing time, but readability was improved. Students judged EMQ as clearly challenging, but attributed significantly higher clinical relevance when compared to established MCQ formats. Using the Spearman-Brown prediction, only ten EMQ items would be needed to reproduce the Cronbach’s alpha value of 0.75 attained for the overall examination. EMQ proved to be both efficient and suitable when assessing medical students, demonstrating powerful characteristics of reliability. Their expanded use in favor of common MCQ could save examination time without losing out on statistical quality.
Fungivorous mites enhance the survivorship and development of stingless bees even when exposed to pesticides
Authors: Rosa-Fontana Annelise S. , Dorigo Adna Suelen , Malaquias José Bruno , Pachú Jéssica K. S. , Nocelli Roberta C. F. , Tosi Simone , Malaspina Osmar
Published: December 2022

Stingless bees are the largest group of eusocial bees in the world. They play an essential role as crop pollinators and have been considered for inclusion in pesticide risk assessments (RAs). Beyond the mutualism involving stingless bee larvae and fungi, the fungivorous miteProctotydaeus (Neotydeolus) alveariiproved to be interesting for studies of associations with stingless bees. Their presence is related to colony strength and health, showing a permanent-host-association level. Here, we tested whether the coexistence withP.(N.)alveariiaffects stingless bee larvae survivorship and development, including when fed pesticide-dosed food. We chose dimethoate, the reference standard for toxicity tests, and thiamethoxam, widely used in neotropical crops and listed to be reassessed in RAs. Bees associated with the mites showed higher larval survivorship rates, even in the dosed ones, and revealed changes in the developmental time and body size. Our study represents the first approach to stingless bee responses to the coexistence of fungivorous mites inside brood cells, leading us to believe that these mites play a beneficial role in stingless bees, including when they are exposed to pesticides.
Synthesis of monolith silica anchored graphene oxide composite with enhanced adsorption capacities for carbofuran and imidacloprid
Authors: Khan Musa , Muhammad Mian , AlOthman Zeid A. , Cheong Won Jo , Ali Faiz
Published: December 2022

Highly efficient adsorbent was prepared for the removal of carbofuran and imidacloprid pesticides from wastewater. The silica monolith anchored graphene oxide composite was synthesized by the modified Fischer esterification protocol. The composite showed improved adsorption capacity for the removal of pesticides from wastewater. Graphene oxide was synthesized using the modified Hummer’s method, while the silica monolith was prepared via sol–gel method. The composite was characterized via X-ray diffraction, Fourier transform infra-red, Brunauer Emmett and Teller (BET/BJH) analysis, zeta potential, and FESEM imaging. Different adsorption parameters such as pH, contact time, adsorbate and adsorbent concentration, and temperature were optimized for the adsorption of pesticides. The equilibrium and kinetic models were applied to the adsorption process of the pesticides. Qe of the composite as found to be 342.46 mg g−1 for imidacloprid and 37.15 mg g−1 for carbofuran. The adsorption process followed the pseudo 2nd order kinetic model for carbofuran (R2~0.9971) and imidacloprid (R2~0.9967). The Freundlich isotherm best fitted to the adsorption data of the pesticides with R2 value of 0.9956 for carbofuran and 0.95 for imidacloprid. The resultant adsorbent/composite material came out with very good results for the removal of pesticides.
Deep learning approaches to predict 10-2 visual field from wide-field swept-source optical coherence tomography en face images in glaucoma
Authors: Moon Sangwoo , Lee Jae Hyeok , Choi Hyunju , Lee Sun Yeop , Lee Jiwoong
Published: December 2022

Close monitoring of central visual field (VF) defects with 10-2 VF helps prevent blindness in glaucoma. We aimed to develop a deep learning model to predict 10-2 VF from wide-field swept-source optical coherence tomography (SS-OCT) images. Macular ganglion cell/inner plexiform layer thickness maps with either wide-field en face images (en face model) or retinal nerve fiber layer thickness maps (RNFLT model) were extracted, combined, and preprocessed. Inception-ResNet-V2 was trained to predict 10-2 VF from combined images. Estimation performance was evaluated using mean absolute error (MAE) between actual and predicted threshold values, and the two models were compared with different input data. The training dataset comprised paired 10-2 VF and SS-OCT images of 3,025 eyes of 1,612 participants and the test dataset of 337 eyes of 186 participants. Global prediction errors (MAEpoint-wise) were 3.10 and 3.17 dB for the en face and RNFLT models, respectively. The en face model performed better than the RNFLT model in superonasal and inferonasal sectors (P = 0.011 and P = 0.030). Prediction errors were smaller in the inferior versus superior hemifields for both models. The deep learning model effectively predicted 10-2 VF from wide-field SS-OCT images and might help clinicians efficiently individualize the frequency of 10-2 VF in clinical practice.
Association of the number of teeth and self-rated mastication with self-rated health in community-dwelling Japanese aged 40 years and older: the Yamagata cohort study
Authors: Ishikawa Shigeo , Konta Tsuneo , Susa Shinji , Ishizawa Kenichi , Makino Naohiko , Ueno Yoshiyuki , Okuyama Naoki , Iino Mitsuyoshi
Published: December 2022

Self-rated health (SRH) is a predictive factor for health-related prognoses such as mortality. This study aimed to comprehensively investigate the risk factors for poor SRH in the general population of Japan, focusing on the combination of the number of teeth and self-rated mastication. Individuals aged at least 40 years in Yamagata Prefecture, Japan, were surveyed from 2017 to 2021. The participants answered a self-administered postal survey on lifestyle factors, medical history, physical and mental conditions, oral health, and dietary intake, and 6739 participants were included. Multivariate logistic regression analysis showed that individuals with less than 20 teeth and who bite tightly on one side or neither side were at a 1.422- and 1.952-fold significantly higher risk, respectively, of poor SRH than individuals with at least 20 teeth and who bite tightly on both sides. Moreover, individuals who had less than 20 teeth but could bite tightly on both sides did not have a significant risk compared to those who had at least 20 teeth and could bite tightly on both sides. Regarding individuals with more than 20 teeth, there was no difference between those who could and could not bite tightly on both sides, although the odds ratios for poor SRH tended to increase for those who could bite on one side or neither side. Our results emphasize the importance of having at least 20 teeth without periodontal disease and oral rehabilitation using a type of prosthesis for SRH, even with less than 20 teeth.
Formation of calcium phosphate nanoparticles in the presence of carboxylate molecules: a time-resolved in situ synchrotron SAXS and WAXS study
Authors: Siliqi Dritan , Adamiano Alessio , Ladisa Massimo , Giannini Cinzia , Iafisco Michele , Degli Esposti Lorenzo
Published: December 2022

The crystallization of calcium phosphate nanoparticles in the presence of carboxylates was characterized in situ through simultaneous SAXS/WAXS using synchrotron light.
Bio-inspired Cu(ii) amido-quinoline complexes as catalysts for aromatic C–H bond hydroxylation
Authors: Monika  , Sarkar Aniruddha , Karmodak Naiwrit , Dhar Basab Bijayi , Adhikari Sanjay
Published: December 2022

Cu(ii)-tetradentate amido-quinoline complexes effectively catalysed aromatic C–H hydroxylation using H2O2 as an oxidant in the absence of an external base with a high selectivity of around 90% for phenols via the non-radical pathway (TON ≥720).
Pyridine modifications regulate the electronics and reactivity of Fe–pyridinophane complexes
Authors: Mekhail Magy A. , Pota Kristof , Kharel Sugam , Freire David M. , Green Kayla N.
Published: December 2022

Substitution of the pyridine ring in 12-membered tetra-aza pyridinophanes successfully provides a regulatory handle on log β and the Fe(ii/iii) redox couple. A C–C coupling reaction is used as a readout of these changes to the ligand.
In situprotonated-phosphorus interstitial doping induces long-lived shallow charge trapping in porous C3−xN4photocatalysts for highly efficient H2generation
Authors: Wang Wenchao , Du Lili , Xia Ruiqin , Liang Runhui , Zhou Tao , Lee Hung Kay , Yan Zhiping , Luo Hao , Shang Congxiao , Phillips David Lee , Guo Zhengxiao
Published: December 2022

Efficient photocatalytic solar-to-H2conversion is pivotal to zero-carbon energy supply.
Organocatalytic synthesis of axially chiral tetrasubstituted allenes
Authors: Nguyen Thien T.
Published: December 2022

Four organocatalytic approaches for the synthesis of axially chiral tetrasubstituted allenes are described with new critical insights into reaction scope and mechanisms.
Deaminative defluoroalkylation of α-trifluoromethylalkenes enabled by photoredox catalysis
Authors: Zhang Guodong , Wang Lei , Cui Liping , Gao Pan , Chen Feng
Published: December 2022

A new photoredox-catalysed strategy to construct gem-difluoroallylarenes from α-trifluoromethylalkenes and primary amines has been developed. This deaminative defluoroallylation is compatible with sterically hindered α-3° and 2° primary amines.
Collective behavior of passive and active circle swimming particle mixtures
Authors: Hrishikesh Bhadra , Mani Ethayaraja
Published: December 2022

A mixture of attractive and circle-swimming active and passive particle systems phase separating into a mixed gel, a rotating passive cluster in an active-passive mixture.
Cell outage compensation scheme based on hybrid genetic algorithms and neural networks
Authors: Yonan Mina , Hassan Ayman M. , Emary Eid
Published: December 2022

In this paper, a system for LTE Cell Outage Compensation (COC) based on hybrid Genetic Algorithms (GA) and Artificial Neural Networks (ANN) has been proposed. COC aims to minimize the impact of cell outage which leads to decrease in operator revenue and/or the customer satisfaction. The proposed system adopts an optimization module to search for an optimal setting of a set of LTE operational parameters to achieve a targeted set of key performance indicators. The optimization process always leads to good enough solutions, but it also requires a huge number of trials. So, in the proposed system, a huge set of outage scenarios is collected along with their optimal argument settings that are acquired by the optimization module and they are used to train an artificial neural network (ANN) module, which acts as an expert that can optimally act on the different situations in real‐time mode. Simulation environment is set to evaluate different LTE measures and Key Performance Indicators (KPIs) on different outage scenarios. Simulation results proved the capability and robustness of the proposed system to minimize the number of users experiencing outage. Simulation results also show that the proposed system achieves optimal parameter settings without violating the overall system performance and with minimal processing time, while introducing significant impact on the performance of LTE.
Klinische und prozedurale Charakteristika von Patienten mit akutem Koronarsyndrom während der COVID-19-Pandemie 2020 im Vergleich zu einer Kontrollgruppe aus 2019
Authors: Ong Peter , Schäfer Stefanie , Karagülle-Dörrenhaus Louisa , Rau Clara , Fröbel Sarah , Spaich Sebastian , Bekeredjian Raffi
Published: December 2022

Hintergrund Während der COVID-19-Pandemie wurden ärztliche Behandlungen abgesagt und notfallmäßige Behandlungen aus Angst vor einer Ansteckung mit Sars-CoV-2 hinausgezögert. Letzteres betraf auch Patienten mit akutem Koronarsyndrom. Eine detaillierte Beschreibung dieser Patienten in Bezug auf das Management im Herzkatheterlabor ist bislang aber noch nicht erfolgt.

Methoden Retrospektive Querschnittsstudie mit Erfassung aller Patienten, die wegen eines akuten Koronarsyndroms (STEMI, NSTEMI, instabile Angina) einer Herzkatheteruntersuchung vom 01.03.2019–30.06.2019 (Gruppe A) sowie vom 01.03.2020–30.06.2020 (Gruppe B) unterzogen wurden. Demografische Faktoren, kardiovaskuläre Risikofaktoren sowie prozedurale Daten (z.B. Ausmaß der KHK, klinische Diagnose, Revaskularisationsstrategie und -ergebnis, Einsatz eines Herzunterstützungssystems, Door-to-Needle-Time, In-hospital-Mortalität) wurden verglichen.

Ergebnisse 469 Patienten wurden in die Studie eingeschlossen (Gruppe A 239, Gruppe B 230 Patienten, mittleres Alter 69 Jahre, 71% männlich). Verglichen mit Gruppe A zeigten sich bei Gruppe B weniger Patienten mit STEMI und instabiler Angina pectoris (p=0,033), dafür mehr Patienten mit NSTEMI (p=0,047). Patienten in der Gruppe B hatten seltener eine koronare Eingefäßerkrankung (p=0,001), dafür wiesen diese häufiger eine koronare Dreigefäßerkrankung als in der Gruppe A auf (p=0,052).

Schlussfolgerung Trotz vergleichbarer Gesamtzahlen wurden Patienten mit akutem Koronarsyndrom während der COVID-19-Pandemie im Vergleich zu einer Kontrollgruppe häufiger mit NSTEMI aufgenommen und hatten ein größeres Ausmaß der KHK.
Early Biomarkers of Bronchopulmonary Dysplasia: A Quick Look to the State of the Art
Authors: Bonadies Luca , Moschino Laura , Valerio Enrico , Giordano Giuseppe , Manzoni Paolo , Baraldi Eugenio
Published: December 2022

Bronchopulmonary dysplasia (BPD) is one of the most common pulmonary sequelae of extreme preterm birth, with long-lasting respiratory symptoms and reduced lung function. A reliable predictive tool of BPD development is urgent and its search remains one of the major challenges for neonatologists approaching the upcoming arrival of possible new preventive therapies. Biomarkers, identifying an ongoing pathogenetic pathway, could allow both the selection of preterm infants with an evolving disease and potentially the therapeutic targets of the indicted pathogenesis. The “omic” sciences represent well-known promising tools for this objective. In this review, we resume the current laboratoristic, metabolomic, proteomic, and microbiomic evidence in the prediction of BPD.

Key Points
Switched electromechanical dynamics for transient phase control of brushed DC servomotor
Authors: Peng William Z. , Song Hyunjong , Czarkowski Dariusz , Kim Joo H.
Published: December 2022

Robotic tasks often exceed the scope of steady-state or periodic behavior, which necessitates generally-applicable models of actuators intended to generate transient or aperiodic motion. However, existing electromechanical models of servomotors typically omit consideration of the switching power converter circuits required for directional, speed, or torque control. In this study, a multi-domain framework is established for switched electromechanical dynamics in servomotor systems for their analysis and control in general aperiodic tasks including transient phases. The switched electromechanical dynamics is derived from the individual models of the internal DC motor, gear train, and H-bridge circuit. The coupled models comprehensively integrate all possible distinct switching configurations of on-state, off-state, and dead time. A combination of cycle averaging with piecewise analytical solutions of the non-smooth dynamics is introduced to handle different temporal scales from high-frequency electrical to low-frequency mechanical variables. System parameters were estimated from experimental data using a dual-servomotor test platform. The model was validated for predictive accuracy against measured data in two distinct tasks—dynamic braking of a pendulum system and sinusoidal trajectory following. The model was also used to formulate the servomotor power consumption, which was implemented for optimal control demonstration and energy analysis. In particular, the servomotor power consumption model provided true optimality (minimization) when compared with the squared rotor torque and the positive rotor mechanical power that are commonly used as proxy models. While the focus of this work is on permanent-magnet, armature-controlled brushed DC servomotors, the approach is applicable to general electromechanical systems with switching-based control.
Optimized x-ray emission from 10 ns long germanium x-ray sources at the National Ignition Facility
Authors: Werellapatha K. , Hall G. N. , Krauland C. , Krygier A. , Bhandarkar N. , Bradley D. K. , Coppari F. , Gorman M. G. , Heinbockel C. , Kemp G. E. , Khan S. F. , Lazicki A. , Masters N. , May M. J. , Nagel S. R. , Palmer N. E. , Eggert J. H. , Benedetti L. R.
Published: December 2022

This study investigates methods to optimize quasi-monochromatic, ∼10 ns long x-ray sources (XRS) for time-resolved x-ray diffraction measurements of phase transitions during dynamic laser compression measurements at the National Ignition Facility (NIF). To support this, we produce continuous and pulsed XRS by irradiating a Ge foil with NIF lasers to achieve an intensity of 2 × 1015 W/cm2, optimizing the laser-to-x-ray conversion efficiency. Our x-ray source is dominated by Ge He-α line emission. We discuss methods to optimize the source to maintain a uniform XRS for ∼10 ns, mitigating cold plasma and higher energy x-ray emission lines.
Laser induced graphanized microfluidic devices
Authors: Goel Sanket , Amreen Khairunnisa
Published: December 2022

With the advent of cyber-physical system-based automation and intelligence, the development of flexible and wearable devices has dramatically enhanced. Evidently, this has led to the thrust to realize standalone and sufficiently-self-powered miniaturized devices for a variety of sensing and monitoring applications. To this end, a range of aspects needs to be carefully and synergistically optimized. These include the choice of material, micro-reservoir to suitably place the analytes, integrable electrodes, detection mechanism, microprocessor/microcontroller architecture, signal-processing, software, etc. In this context, several researchers are working toward developing novel flexible devices having a micro-reservoir, both in flow-through and stationary phases, integrated with graphanized zones created by simple benchtop lasers. Various substrates, like different kinds of cloths, papers, and polymers, have been harnessed to develop laser-ablated graphene regions along with a micro-reservoir to aptly place various analytes to be sensed/monitored. Likewise, similar substrates have been utilized for energy harvesting by fuel cell or solar routes and supercapacitor-based energy storage. Overall, realization of a prototype is envisioned by integrating various sub-systems, including sensory, energy harvesting, energy storage, and IoT sub-systems, on a single mini-platform. In this work, the diversified work toward developing such prototypes will be showcased and current and future commercialization potential will be projected.
Hub-collision avoidance and leaf-node options algorithm for fractal dimension and renormalization of complex networks
Authors: Guo Fei-Yan , Zhou Jia-Jun , Ruan Zhong-Yuan , Zhang Jian , Qi Lin
Published: December 2022

The box-covering method plays a fundamental role in the fractal property recognition and renormalization analysis of complex networks. This study proposes the hub-collision avoidance and leaf-node options (HALO) algorithm. In the box sampling process, a forward sampling rule (for avoiding hub collisions) and a reverse sampling rule (for preferentially selecting leaf nodes) are determined for bidirectional network traversal to reduce the randomness of sampling. In the box selection process, the larger necessary boxes are preferentially selected to join the solution by continuously removing small boxes. The compact-box-burning (CBB) algorithm, the maximum-excluded-mass-burning (MEMB) algorithm, the overlapping-box-covering (OBCA) algorithm, and the algorithm for combining small-box-removal strategy and maximum box sampling with a sampling density of 30 (SM30) are compared with HALO in experiments. Results on nine real networks show that HALO achieves the highest performance score and obtains 11.40%, 7.67%, 2.18%, and 8.19% fewer boxes than the compared algorithms, respectively. The algorithm determinism is significantly improved. The fractal dimensions estimated by covering four standard networks are more accurate. Moreover, different from MEMB or OBCA, HALO is not affected by the tightness of the hubs and exhibits a stable performance in different networks. Finally, the time complexities of HALO and the compared algorithms are all O(N2), which is reasonable and acceptable.
Detection of cardiac arrhythmia patterns in ECG through H × C plane
Authors: Martínez Coq P. , Rey A. , Rosso O. A. , Armentano R. , Legnani W.
Published: December 2022

The aim of this study is to formulate a new methodology based upon informational tools to detect patients with cardiac arrhythmias. As it is known, sudden death is the consequence of a final arrhythmia, and here lies the relevance of the efforts aimed at the early detection of arrhythmias. The information content in the time series from an electrocardiogram (ECG) signal is conveyed in the form of a probability distribution function, to compute the permutation entropy proposed by Bandt and Pompe. This selection was made seeking its remarkable conceptual simplicity, computational speed, and robustness to noise. In this work, two well-known databases were used, one containing normal sinus rhythms and another one containing arrhythmias, both from the MIT medical databank. For different values of embedding time delay τ, normalized permutation entropy and statistical complexity measure are computed to finally represent them on the horizontal and vertical axes, respectively, which define the causal plane H×C. To improve the results obtained in previous works, a feature set composed by these two magnitudes is built to train the following supervised machine learning algorithms: random forest (RF), support vector machine (SVM), and k nearest neighbors (kNN). To evaluate the performance of each classification technique, a 10-fold cross-validation scheme repeated 10 times was implemented. Finally, to select the best model, three quality parameters were computed, namely, accuracy, the area under the receiver operative characteristic (ROC) curve (AUC), and the F1-score. The results obtained show that the best classification model to detect the ECG coming from arrhythmic patients is RF. The values of the quality parameters were at the same levels reported in the available literature using a larger data set, thus supporting this proposal that uses a very small-sized feature space to train the model later used to classify. Summarizing, the attained results show the possibility to discriminate both groups of patients, with normal sinus rhythm or arrhythmic ECG, showing a promising efficiency in the definition of new markers for the detection of cardiovascular pathologies.
Copper tungsten oxide (CuxWOy) thin films for optical and photoelectrochemical applications deposited by reactive high power impulse magnetron co-sputtering
Authors: Hrubantova A. , Hippler R. , Wulff H. , Cada M. , Gedeon O. , Jiricek P. , Houdkova J. , Olejnicek J. , Nepomniashchaia N. , Helm C. A. , Hubicka Z.
Published: December 2022

Copper tungsten oxide films are deposited with the help of reactive high power impulse magnetron sputtering (HiPIMS) in an argon/oxygen gas mixture. Two magnetrons, one equipped with a tungsten target and the other with a copper target, are employed. The HiPIMS discharge is operated with a repetition frequency of f=100 Hz. Pulse widths of 100 and 20 μs separated by 25 μs are chosen for the tungsten and copper target, respectively. Films deposited on two different glass substrates [soda lime glass and fluorine doped tin oxide (FTO) coated glass] are characterized by energy dispersive x-ray spectroscopy, x-ray photoelectron spectroscopy, x-ray diffraction, Raman spectroscopy, and ellipsometry. Photoelectrochemical activity was investigated by linear voltammetry. The composition and crystal structure of as-deposited and annealed films are found to depend on the deposition conditions. Annealed films deposited on FTO glass are composed of WO3 and CuWO4 or Cu2WO4 crystal phases. Films deposited on soda lime glass are subject to sodium diffusion into the films during annealing and the formation of Na2W2O7 and Na2W4O13 phases.