bluuebunny/crossref_metadata_2025 huggingface dataset:
Atlas of dynamic spectra of fast radio burst FRB 20201124A
Authors: Wang Bo-Jun , Xu Heng , Jiang Jin-Chen , Xu Jiang-Wei , Niu Jia-Rui , Chen Ping , Lee Ke-Jia , Zhang Bing , Zhu Wei-Wei , Dong Su-Bo , Zhang Chun-Feng , Fu Hai , Zhou De-Jiang , Zhang Yong-Kun , Wang Pei , Feng Yi , Li Ye , Li Dong-Zi , Lu Wen-Bin , Yang Yuan-Pei , Caballero R. N. , Cai Ce , Chen Mao-Zheng , Dai Zi-Gao , Esamdin A. , Gan Heng-Qian , Han Jin-Lin , Hao Long-Fei , Huang Yu-Xiang , Jiang Peng , Li Cheng-Kui , Li Di , Li Hui , Li Xin-Qiao , Li Zhi-Xuan , Liu Zhi-Yong , Luo Rui , Men Yun-Peng , Niu Chen-Hui , Peng Wen-Xi , Qian Lei , Song Li-Ming , Sun Jing-Hai , Wang Fa-Yin , Wang Min , Wang Na , Wang Wei-Yang , Wu Xue-Feng , Xiao Shuo , Xiong Shao-Lin , Xu Yong-Hua , Xu Ren-Xin , Yang Jun , Yang Xuan , Yao Rui , Yi Qi-Bin , Yue You-Ling , Yu Dong-Jun , Yu Wen-Fei , Yuan Jian-Ping , Zhang Bin-Bin , Zhang Song-Bo , Zhang Shuang-Nan , Zhao Yi , Zheng Wei-Kang , Zhu Yan , Zou Jin-Hang
Published: December 2022

Fast radio bursts (FRBs) are highly dispersed millisecond-duration radio bursts,[1,2] of which the physical origin is still not fully understood. FRB 20201124A is one of the most actively repeating FRBs. In this paper, we present the collection of 1863 burst dynamic spectra of FRB 20201124A measured with the Five-hundred-meter Aperture Spherical radio Telescope (FAST). The current collection, taken from the observation during the FRB active phase from April to June 2021, is the largest burst sample detected for any FRB so far. The standard PSRFITs format is adopted, including dynamic spectra of the burst, and the time information of the dynamic spectra, in addition, mask files help readers to identify the pulse positions are also provided. The dataset is available in Science Data Bank, with the link https://www.doi.org/10.57760/sciencedb.j00113.00076.
EEG guided electrical stimulation parameters generation from texture force profiles
Authors: Eldeeb Safaa , Akcakaya Murat
Published: December 2022

Objective. Our aim is to enhance sensory perception and spatial presence in artificial interfaces guided by EEG. This is done by developing a closed-loop electro-tactile system guided by EEG that adaptively update the electrical stimulation parameters to achieve EEG responses similar to the EEG responses generated from touching textured surface. Approach. In this work, we introduce a model that defines the relationship between the contact force profiles and the electrical stimulation parameters. This is done by using the EEG and force data collected from two experiments. The first was conducted by moving a set of textured surfaces against the subjects’ fingertip, while collecting both EEG and force data. Whereas the second was carried out by applying a set of different pulse and amplitude modulated electrical stimuli to the subjects’ index finger while recording EEG. Main results. We were able to develop a model which could generate electrical stimulation parameters corresponding to different textured surfaces. We showed by offline testing and validation analysis that the average error between the EEG generated from the estimated electrical stimulation parameters and the actual EEG generated from touching textured surfaces is around 7%. Significance. Haptic feedback plays a vital role in our daily life, as it allows us to become aware of our environment. Even though a number of methods have been developed to measure perception of spatial presence and provide sensory feedback in virtual reality environments, there is currently no closed-loop control of sensory stimulation. The proposed model provides an initial step towards developing a closed loop electro-tactile haptic feedback model that delivers more realistic touch sensation through electrical stimulation.
A comprehensive review of properties of the biocompatible thin films on biodegradable Mg alloys
Authors: Rajan S Thanka , Arockiarajan A
Published: December 2022

Magnesium (Mg) and its alloys have attracted attention as biodegradable materials for biomedical applications owing to their mechanical properties being comparable to that of bone. Mg is a vital trace element in many enzymes and thus forms one of the essential factors for human metabolism. However, before being used in biomedical applications, the early stage or fast degradation of Mg and its alloys in the physiological environment should be controlled. The degradation of Mg alloys is a critical criterion that can be controlled by a surface modification which is an effective process for conserving their desired properties. Different coating methods have been employed to modify Mg surfaces to provide good corrosion resistance and biocompatibility. This review aims to provide information on different coatings and discuss their physical and biological properties. Finally, the current withstanding challenges have been highlighted and discussed, followed by shedding some light on future perspectives.
Foreign yield shocks and domestic price variability: the case of maize in developing countries
Authors: Chen Bowen , Villoria Nelson B
Published: December 2022

International trade helps to smooth food price swings caused from seasonal imbalances between domestic supply and demand. Trade also increases the possibility of importing price volatility from abroad. This concern looms large in the face of increased crop yield variability associated with climate change. We assess the extent to which maize yield shocks in exporting countries exacerbate the intra-seasonal variability of maize prices in a cross section of 75 markets in Africa, Asia, and Latin American countries during 2000/01–2017/18. We find that extreme below-trend reductions in maize yields in exporting countries are associated with increased intra-annual maize price variability in the focus countries. In contrast, above-trend maize yields in exporting countries are associated with reduced variability.
Dingle’s final main rule, Berry’s transition, and Howls’ conjecture
*
Authors: Nemes Gergő
Published: December 2022

The Stokes phenomenon is the apparent discontinuous change in the form of the asymptotic expansion of a function across certain rays in the complex plane, known as Stokes lines, as additional expansions, pre-factored by exponentially small terms, appear in its representation. It was first observed by G G Stokes while studying the asymptotic behaviour of the Airy function. R B Dingle proposed a set of rules for locating Stokes lines and continuing asymptotic expansions across them. Included among these rules is the ‘final main rule’ stating that half the discontinuity in form occurs on reaching the Stokes line, and half on leaving it the other side. M V Berry demonstrated that, if an asymptotic expansion is terminated just before its numerically least term, the transition between two different asymptotic forms across a Stokes line is effected smoothly and not discontinuously as in the conventional interpretation of the Stokes phenomenon. On a Stokes line, in accordance with Dingle’s final main rule, Berry’s law predicts a multiplier of

1
2

for the emerging small exponentials. In this paper, we consider two closely related asymptotic expansions in which the multipliers of exponentially small contributions may no longer obey Dingle’s rule: their values can differ from

1
2

on a Stokes line and can be non-zero only on the line itself. This unusual behaviour of the multipliers is a result of a sequence of higher-order Stokes phenomena. We show that these phenomena are rapid but smooth transitions in the remainder terms of a series of optimally truncated hyperasymptotic re-expansions. To this end, we verify a conjecture due to C J Howls.
Confinement phase in carbon-nanotubes and the extended massive Schwinger model
Authors: Oka Takashi
Published: December 2022

Carbon nanotube with electric fluxes confined in one dimension is studied. We show that a Coulomb interaction

∝

|

x

|

leads to a confinement phase with many properties similar to QCD in 4D. Low-energy physics is described by the massive Schwinger model with multi-species fermions labeled by the band and valley indices. We propose two means to detect this state. One is through an optical measurement of the exciton spectrum, which has been calculated via the ’t Hooft–Berknoff equation with the light-front field theory. We show that the Gell–Mann−Oakes−Renner relation is satisfied by a dark exciton. The second is the nonlinear transport which is related to Coleman’s ‘half-asymptotic’ state.
Symmetries and conservation laws of the one-dimensional shallow water magnetohydrodynamics equations in Lagrangian coordinates
Authors: Kaptsov E I , Meleshko S V , Dorodnitsyn V A
Published: December 2022

Symmetries of the one-dimensional shallow water magnetohydrodynamics equations (SMHD) in Gilman’s approximation are studied. The SMHD equations are considered in case of a plane and uneven bottom topography in Lagrangian and Eulerian coordinates. Symmetry classification separates out all bottom topographies which yields substantially different admitted symmetries. The SMHD equations in Lagrangian coordinates were reduced to a single second order PDE. The Lagrangian formalism and Noether’s theorem are used to construct conservation laws of the SMHD equations. Some new conservation laws for various bottom topographies are obtained. The results are also represented in Eulerian coordinates. Invariant and partially invariant solutions are constructed.
Characterization and ohmic contact of hydrothermally synthesized vertical ZnO and Ag/ZnO nanowires
Authors: Qu Xichun , Fu Yingchun , Duan Zhiyong , Li Mengke , Zhong Ying hui , Ma Liuhong
Published: December 2022

Vertically aligned ZnO nanowire arrays were synthesized by two-step hydrothermal method. ZnO seed layers were prepared on substrate by using anhydrous ethanol and zinc acetate dihydrate solution, followed by the generation of ZnO nanowire arrays by low-temperature liquid-phase hydrothermal methods. The ZnO nanowire arrays were prepared under different conditions to compare the effects of growth conditions on the morphology of ZnO nanowires, in order to explore the optimal growth conditions for ZnO nanowire arrays used in semiconductor device. The morphological changes of ZnO nanowire arrays grown under different conditions were systematically analyzed by SEM, XRD and other characterization means. The results show that the seed solution concentration, growth solution concentration, doping concentration and growth time all have certain effects on the morphology of ZnO nanowire arrays. Besides, the Ag/ZnO ohmic contact were investigated, the optimal annealing temperatures of 450 °C was obtained.
An energy method for buckling behavior analysis of functionally graded carbon nanotube-reinforced composite sandwich structures
Authors: Wang Shaoqing , Qiao Yanmei , Liu Changcun , Luo Li
Published: December 2022

The present work aims to investigate the buckling performance of sandwich structure of functionally graded carbon nanotube-reinforced composite (FG-CNTRC). Through first-order shear deformation theory, an analytical model for the sandwich structure of FG-CNTRC was established. The governing equation for the prediction of the buckling performance of the sandwich structure of FG-CNTRC was obtained through energy method. There was analytical solution that can satisfy both boundary conditions. The theoretical model and method were verified by literature analysis, and the influence of each parameter on the buckling performance was evaluated and performed on the basis of the corroborated model. The findings can lay a solid foundation of the design and application of the sandwich structure of FG-CNTRC.
Asteroid sample offers clues to the origins of the solar system
Authors: James Chaneil
Published: December 2022

The chemical composition of samples collected from the asteroid 162173 Ryugu are strikingly similar to the Sun, according to researchers in the US and Japan.
No flipping way
Authors: Philpot Julian
Published: December 2022

In response to the Quanta article in August 2022 called “The physics of the perfect burger”.
A possible hope for our climate
Authors: Johnston Hamish
Published: December 2022

Hamish Johnston reviews Pandora’s Toolbox: the Hopes and Hazards of Climate Intervention by Wake Smith.
Implications of the M-OO∙∙OO-M recombination mechanism on materials screening and the oxygen evolution reaction
Authors: Exner Kai S
Published: December 2022

Identification of active electrocatalysts for the oxygen evolution reaction (OER), corresponding to the bottleneck in electrolyzers to produce gaseous hydrogen as energy vector, by electronic structure calculations relies on the assumption of the mononuclear mechanism, comprising the *OH, *O, and *OOH intermediates. This mechanistic description is thermodynamically hampered by a scaling relation between the *OH and *OOH adsorbates, which may serve as an explanation why OER catalysts commonly require large overpotentials to reach sufficient current densities. Recently, an alternate OER pathway was proposed that, in contrast to the mononuclear description, consists of the formation of two adjacent *OO adsorbates, and gaseous oxygen is produced by chemical recombination of the neighboring *OO intermediates. In the present manuscript, a data-driven model based on a dedicated assessment of the elementary reaction steps is deduced, which enables evaluating the mononuclear and *OO pathways by the same set of parameters. Potential-dependent volcano plots are constructed to comprehend the energetics of the competing mechanisms. It is demonstrated that the alternate OER pathway consisting of the *OO∙∙*OO recombination step may excel the mononuclear description at overpotentials corresponding to typical OER conditions. Consequently, it is suggested that future studies, aiming at the identification of OER materials, may not omit the *OO∙∙*OO recombination mechanism when using concepts of materials screening in a heuristic fashion or multiscale modeling.
Multi-response optimization of friction stir lap welding of aluminum plates through GRA-PCA
Authors: Pandipati Suman , Potnuru Srinivasarao , Sreeramulu Dowluru
Published: December 2022

Friction stir welding (FSW) is a method of solid state joining in which the joint is produced below the base meta-l’s melting temperature. This research work investigates the welding properties of the aluminium alloys using the friction stir welding technique. A novel grey relational analysis (GRA)-principal component analysis (PCA) approach were used, the effect of process parameters such as tool feed rate, tool rotational speed, and tool pin profile were discussed to find the best fair weld quality. According to the full factorial design, twenty-seven experiments were designed and the quality of the experimental sample were tested for shear tensile strength, yield strength (YS), percentage elongation (PE), and weld zone hardness (HZ). The optimum process parameters of GRA-PCA results showed with the traverse speed of 70 mm min−1, a rotational speed of 1400 rpm, and a triangular tool pin profile. Analysis of variance (ANOVA) evidenced that all the three parameters were significant with the P and F value, and rotational speed was the predominant parameter with 43.56% contribution. Thus, the optimal conditions for this research showed 1.28 percent improvement in the overall weld quality.
Deep generative modeling and clustering of single cell Hi-C data
Authors: Liu Qiao , Zeng Wanwen , Zhang Wei , Wang Sicheng , Chen Hongyang , Jiang Rui , Zhou Mu , Zhang Shaoting
Published: December 2022

Deciphering 3D genome conformation is important for understanding gene regulation and cellular function at a spatial level. The recent advances of single cell Hi-C technologies have enabled the profiling of the 3D architecture of DNA within individual cell, which allows us to study the cell-to-cell variability of 3D chromatin organization. Computational approaches are in urgent need to comprehensively analyze the sparse and heterogeneous single cell Hi-C data. Here, we proposed scDEC-Hi-C, a new framework for single cell Hi-C analysis with deep generative neural networks. scDEC-Hi-C outperforms existing methods in terms of single cell Hi-C data clustering and imputation. Moreover, the generative power of scDEC-Hi-C could help unveil the differences of chromatin architecture across cell types. We expect that scDEC-Hi-C could shed light on deepening our understanding of the complex mechanism underlying the formation of chromatin contacts.
DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning
Authors: Li Yiming , Zeng Min , Zhang Fuhao , Wu Fang-Xiang , Li Min
Published: December 2022

Motivation

Protein essentiality is usually accepted to be a conditional trait and strongly affected by cellular environments. However, existing computational methods often do not take such characteristics into account, preferring to incorporate all available data and train a general model for all cell lines. In addition, the lack of model interpretability limits further exploration and analysis of essential protein predictions.

Results

In this study, we proposed DeepCellEss, a sequence-based interpretable deep learning framework for cell line-specific essential protein predictions. DeepCellEss utilizes a convolutional neural network and bidirectional long short-term memory to learn short- and long-range latent information from protein sequences. Further, a multi-head self-attention mechanism is used to provide residue-level model interpretability. For model construction, we collected extremely large-scale benchmark datasets across 323 cell lines. Extensive computational experiments demonstrate that DeepCellEss yields effective prediction performance for different cell lines and outperforms existing sequence-based methods as well as network-based centrality measures. Finally, we conducted some case studies to illustrate the necessity of considering specific cell lines and the superiority of DeepCellEss. We believe that DeepCellEss can serve as a useful tool for predicting essential proteins across different cell lines.

Availability and implementation

The DeepCellEss web server is available at http://csuligroup.com:8000/DeepCellEss. The source code and data underlying this study can be obtained from https://github.com/CSUBioGroup/DeepCellEss.

Supplementary information

Supplementary data are available at Bioinformatics online.
Variable rate of ageing within species: insights from Darwin’s frogs
Authors: Valenzuela-Sánchez Andrés , Schmidt Benedikt R , Azat Claudio , Delgado Soledad , Cunningham Andrew A , Lemaître Jean-François , Gaillard Jean-Michel , Cayuela Hugo
Published: December 2022

Actuarial senescence, the increase in adult mortality risk with increasing age, is a widespread phenomenon across the animal kingdom. Although between-species variation in the rate of increase in mortality as organisms age (i.e. ageing rate) is now well documented, the occurrence of variation in ageing rate within a given species remains much more debatable. We evaluated the level of within-species variation in ageing rate in four populations of the southern Darwin’s frog (Rhinoderma darwinii) from Chile. Our results revealed strong among-population variation in ageing rates, and these were correlated with the population-specific generation time. A higher ageing rate occurred in populations where individuals exhibited a faster pace of life. Our results, along with recent studies in evolutionarily distant amphibian species, indicate that there can be substantial within-species variation in the rate of ageing, highlighting amphibians as emerging models to study the patterns and mechanisms of intraspecific variation in ageing rate.
Idiopathic Thrombocytopaenic Purpura associated with Inflammatory Bowel Disease: a multicentre ECCO CONFER case series
Authors: Mahajna Hussein , Verstockt Bram , Bergemalm Daniel , Castiglione Fabiana , Rodríguez-Moranta Fransisco , Savarino Edoardo , Hoentjen Frank , Bessissow Talat , Pokryszka Jagoda , Cremer Anneline , Eder Piotr , Truyens Marie , Yerushalmy-Feler Anat , García María José , Kopylov Uri
Published: December 2022

Background

Idiopathic thrombocytopaenic purpura [ITP] is an acquired haematological disorder with an incidence of 1–6 per 100 00/year. ITP and inflammatory bowel disease [IBD] comorbidity has been reported in the literature, but insights regarding the course, outcome and optimal management are limited by its rarity. The current study aimed to evaluate the clinical presentation and outcome of ITP in patients with IBD.

Methods

This multicentre retrospective case series was performed as part of the ECCO Collaborative Network of Exceptionally Rare case reports [CONFER] project. Cases of patients with ITP and IBD were collected by participating investigators. Clinical data were recorded in a standardized collection form.

Results

This report includes 32 patients with concurrent ITP and IBD: ten were females, and the median age was 32.0 years (interquartile range [IQR] 20.5–39.5). Fourteen patients had a diagnosis of Crohn’s disease [CD] and the other 18 ulcerative colitis [UC]. The diagnosis of IBD preceded the ITP in 26 patients (median time between diagnoses was 7.0 years [IQR, 1.5–9.5]). Among those patients, 17 were in clinical remission at ITP diagnosis. Thirteen patients were treated with mesalamine, four with oral corticosteroids, one with rectal corticosteroids, two with azathioprine and five with anti-tumour necrosis factor agents. The median platelet count was 35 000/microliter [IQR, 10 000–70 000]. Eight patients had rectal bleeding, 13 had skin purpura, three had epistaxis, six had mucosal petechiae and 13 were asymptomatic. Regarding ITP treatment, 19 were treated with corticosteroids, one with anti-RhD immunoglobulin, 12 with intravenous immunoglobulins [IVIGs], four with thrombopoietin, three with rituximab and six patients eventually required splenectomy. Ten patients needed no treatment directed to the ITP. Three patients required colectomy during long-term follow-up, due to IBD or cancer but not to massive bleeding as a complication of ITP. One of eight patients who presented with rectal bleeding required splenectomy, and none required urgent colectomy. Two patients died during the follow-up, one of them due to bleeding complications located in the upper gastrointestinal tract. Median follow-up time was 6.5 years [IQR, 3–10]. With long-term follow-up, all patients had platelet counts above 50 000/microliter, and 24 were in IBD clinical remission.

Conclusion

Most ITP cases in this series occurred after the IBD diagnosis and responded well to regular ITP treatment. The course of the ITP in the IBD patients followed an expected course, including response to medical therapy and low rates of splenectomy.
Multi-modality imaging to guide the implantation of cardiac electronic devices in heart failure: is the sum greater than the individual components?
Authors: Galli Elena , Baritussio Anna , Sitges Marta , Donnellan Eoin , Jaber Wael A , Gimelli Alessia
Published: December 2022

Heart failure is a clinical syndrome with an increasing prevalence and incidence worldwide that impacts patients’ quality of life, morbidity, and mortality. Implantable cardioverter-defibrillator and cardiac resynchronization therapy are pillars of managing patients with HF and reduced left ventricular ejection fraction. Despite the advances in cardiac imaging, the assessment of patients needing cardiac implantable electronic devices relies essentially on the measure of left ventricular ejection fraction. However, multi-modality imaging can provide important information concerning the aetiology of heart failure, the extent and localization of myocardial scar, and the pathophysiological mechanisms of left ventricular conduction delay. This paper aims to highlight the main novelties and progress in the field of multi-modality imaging to identify patients who will benefit from cardiac resynchronization therapy and/or implantable cardioverter-defibrillator. We also want to underscore the boundaries that prevent the application of imaging-derived parameters to patients who will benefit from cardiac implantable electronic devices and orient the choice of the device. Finally, we aim at providing some reflections for future research in this field.
Maximizing lymph node dissection from fresh lung cancer specimens
Authors: Raymond Cédric , Vieira Arthur , Joubert Philippe , Ugalde Paula A
Published: December 2022

Evaluation of lymph nodes during lung cancer resection is essential for pathologic staging and adjuvant treatment decisions. We developed a standardized approach for grossing resected lobes and segments to better assign the N1 category to hilar and peripheral lymph nodes. Lung specimens were dissected centrifugally from the bronchial stump, and all lymph nodes at the segmental and subsegmental bifurcations were removed. When combined with mediastinal lymph node dissection, this approach will likely maximize the number of lymph nodes analysed and improve the accuracy of pathologic N descriptor classification.
Genome-wide association study to identify genomic loci associated with early vigor in bread wheat under simulated water deficit complemented with quantitative trait loci meta-analysis
Authors: Rahimi Yousef , Khahani Bahman , Jamali Ali , Alipour Hadi , Bihamta Mohammad Reza , Ingvarsson Pär K
Published: December 2022

A genome-wide association study (GWAS) was used to identify associated loci with early vigor under simulated water deficit and grain yield under field drought in a diverse collection of Iranian bread wheat landraces. In addition, a meta-quantitative trait loci (MQTL) analysis was used to further expand our approach by retrieving already published quantitative trait loci (QTL) from recombinant inbred lines, double haploids, back-crosses, and F2 mapping populations. In the current study, around 16%, 14%, and 16% of SNPs were in significant linkage disequilibrium (LD) in the A, B, and D genomes, respectively, and varied between 5.44% (4A) and 21.85% (6A). Three main subgroups were identified among the landraces with different degrees of admixture, and population structure was further explored through principal component analysis. Our GWAS identified 54 marker-trait associations (MTAs) that were located across the wheat genome but with the highest number found in the B sub-genome. The gene ontology (GO) analysis of MTAs revealed that around 75% were located within or closed to protein-coding genes. In the MQTL analysis, 23 MQTLs, from a total of 215 QTLs, were identified and successfully projected onto the reference map. MQT-YLD4, MQT-YLD9, MQT-YLD13, MQT-YLD17, MQT-YLD18, MQT-YLD19, and MQTL-RL1 contributed to the highest number of projected QTLs and were therefore regarded as the most reliable and stable QTLs under water deficit conditions. These MQTLs greatly facilitate the identification of putative candidate genes underlying at each MQTL interval due to the reduced confidence of intervals associated with MQTLs. These findings provide important information on the genetic basis of early vigor traits and grain yield under water deficit conditions and set the foundation for future investigations into adaptation to water deficit in bread wheat.
Is There Evidence of an Association Between Acute Health Care Utilization and Function in Older Adults Over Time? A Population-Based Cohort Study
Authors: Conneely Mairéad , Leahy Siobhán , Trépel Dominic , Robinson Katie , Boland Fiona , Moriarty Frank , Galvin Rose
Published: December 2022

Background and Objectives

Acute health care use varies by age, with older adults the highest users of acute health care services. Using data from The Irish Longitudinal Study on Ageing (TILDA), the aim of this study was to investigate the association between acute health care utilization (emergency department [ED] visit with or without hospitalization) at baseline and subjective and objective measures of function measured at 4-year follow-up.

Research Design and Methods

This study represents a secondary analysis of a prospective cohort study, where data from Wave 1 (baseline) and Wave 3 of TILDA were analyzed in conjunction with a public and patient involvement group of older adults. Acute health care utilization was defined as an ED visit with or without hospitalization in the previous 12 months. Function was assessed objectively using the Timed Up and Go (TUG) test and a measure of grip strength, and subjectively using self-report limitations in activities of daily living (ADL) and instrumental ADL (IADL).

Results

A total of 1 516 participants met the study inclusion criteria. Mean age was 70.9 ± 4.6 years and 48% were male. At baseline, 1 280 participants reported no acute health care use. One hundred and eighteen indicated an ED visit but no hospitalization in the previous 12 months and 118 reported both an ED visit and hospitalization. Adjusting for all covariates, compared to those with no acute health care utilization, those with an ED visit with no hospital admission had poorer TUG performance at follow-up (β = 0.67, 95% confidence interval: 0.34, 1.29, p = .039).

Discussion and Implications

This paper supports previous research that acute health care events, specifically ED usage, are associated with reduced function for older adults as assessed by TUG at follow-up. No associations were observed for grip strength, ADL, or IADL. Further research is required in this area, exploring ED visits and the possible benefits of evaluating older adults at this stage.
Barriers and facilitators to comprehensive, school-based physical activity promotion for adolescents prior to and during the COVID-19 pandemic: a qualitative study
Authors: Johnson Ashleigh M , Tandon Pooja S , Hafferty Kiana R , Senturia Kirsten , Garrett Kimberly A , Bollinger Beth J , Kroshus Emily
Published: December 2022

This study aimed to identify barriers and facilitators to comprehensive, school-based physical activity (PA) promotion among adolescents prior to and during the coronavirus disease of 2019 (COVID-19) pandemic, considering the perspectives of students, parents, and school staff. Data were collected from 2020 to 2021 using semi-structured individual interviews with students (n = 15), parents (n = 20), and school staff (n = 8) at a Title I middle school (i.e. high percentage of students from low-income families). Two theoretical frameworks guided analysis: the Comprehensive School Physical Activity Program framework and Bronfenbrenner’s ecological systems theory. Using an iteratively developed codebook, data were coded, thematically analyzed, and synthesized. PA barriers and facilitators were present throughout the school day, at home, and in the community. Key determinants included pandemic-induced challenges (e.g. COVID-19 exposure); neighborhood characteristics/weather (e.g. neighborhood safety); school–family communication/collaboration; implementation climate (i.e. school staff’s support for programming); time, spatial, and monetary resources (e.g. funding); staffing capacity/continuity and school champions; staffing creativity and adaptability; PA opportunities before, during, and after school; and child’s motivation/engagement. Efforts to improve school-based PA programs, irrespective of pandemic conditions, should include strategies that address factors at the community, school, family and individual levels. School–family communication/collaboration, school staff programming support, and PA opportunities throughout the day can help promote comprehensive, school-based PA.
Telomere-to-telomere and gap-free reference genome assembly of the kiwifruit Actinidia chinensis
Authors: Yue Junyang , Chen Qinyao , Wang Yingzhen , Zhang Lei , Ye Chen , Wang Xu , Cao Shuo , Lin Yunzhi , Huang Wei , Xian He , Qin Hongyan , Wang Yanli , Zhang Sijia , Wu Ying , Wang Songhu , Yue Yi , Liu Yongsheng
Published: December 2022

Kiwifruit is an economically and nutritionally important fruit crop with extremely high contents of vitamin C. However, the previously released versions of kiwifruit genomes all have a mass of unanchored or missing regions. Here, we report a highly continuous and completely gap-free reference genome of Actinidia chinensis cv. ‘Hongyang’, named Hongyang v4.0, which is the first to achieve two de novo haploid-resolved haplotypes, HY4P and HY4A. HY4P and HY4A have a total length of 606.1 and 599.6 Mb, respectively, with almost the entire telomeres and centromeres assembled in each haplotype. In comparison with Hongyang v3.0, the integrity and contiguity of Hongyang v4.0 is markedly improved by filling all unclosed gaps and correcting some misoriented regions, resulting in ~38.6–39.5 Mb extra sequences, which might affect 4263 and 4244 protein-coding genes in HY4P and HY4A, respectively. Furthermore, our gap-free genome assembly provides the first clue for inspecting the structure and function of centromeres. Globally, centromeric regions are characterized by higher-order repeats that mainly consist of a 153-bp conserved centromere-specific monomer (Ach-CEN153) with different copy numbers among chromosomes. Functional enrichment analysis of the genes located within centromeric regions demonstrates that chromosome centromeres may not only play physical roles for linking a pair of sister chromatids, but also have genetic features for participation in the regulation of cell division. The availability of the telomere-to-telomere and gap-free Hongyang v4.0 reference genome lays a solid foundation not only for illustrating genome structure and functional genomics studies but also for facilitating kiwifruit breeding and improvement.
Genome assembly of wild loquat (Eriobotrya japonica) and resequencing provide new insights into the genomic evolution and fruit domestication in loquat
Authors: Jing Danlong , Liu Xinya , He Qiao , Dang Jiangbo , Hu Ruoqian , Xia Yan , Wu Di , Wang Shuming , Zhang Yin , Xia Qingqing , Zhang Chi , Yu Yuanhui , Guo Qigao , Liang Guolu
Published: December 2022

Wild loquats (Eriobotrya japonica Lindl.) provide remarkable genetic resources for studying domestication and breeding improved varieties. Herein, we generate the first high-quality chromosome-level genome assembly of wild loquat, with 45 791 predicted protein-coding genes. Analysis of comparative genomics indicated that loquat shares a common ancestor with apple and pear, and a recent whole-genome duplication event occurred in loquat prior to its divergence. Genome resequencing showed that the loquat germplasms can be distinctly classified into wild and cultivated groups, and the commercial cultivars have experienced allelic admixture. Compared with cultivated loquats, the wild loquat genome showed very few selected genomic regions and had higher levels of genetic diversity. However, whole-genome scans of selective sweeps were mainly related to fruit quality, size, and flesh color during the domestication process. Large-scale transcriptome and metabolome analyses were further performed to identify differentially expressed genes (DEGs) and differentially accumulated metabolites (DAMs) in wild and cultivated loquats at various fruit development stages. Unlike those in wild loquat, the key DEGs and DAMs involved in carbohydrate metabolism, plant hormone signal transduction, flavonoid biosynthesis, and carotenoid biosynthesis were significantly regulated in cultivated loquats during fruit development. These high-quality reference genome, resequencing, and large-scale transcriptome/metabolome data provide valuable resources for elucidating fruit domestication and molecular breeding in loquat.
SbMYB3 transcription factor promotes root-specific flavone biosynthesis in Scutellaria baicalensis
Authors: Fang Yumin , Liu Jie , Zheng Minmin , Zhu Sanming , Pei Tianlin , Cui Mengying , Chang Lijing , Xiao Hanwen , Yang Jun , Martin Cathie , Zhao Qing
Published: December 2022

Scutellaria baicalensis Georgi produces abundant root-specific flavones (RSFs), which provide various benefits to human health. We have elucidated the complete biosynthetic pathways of baicalein and wogonin. However, the transcriptional regulation of flavone biosynthesis in S. baicalensis remains unclear. We show that the SbMYB3 transcription factor functions as a transcriptional activator involved in the biosynthesis of RSFs in S. baicalensis. Yeast one-hybrid and transcriptional activation assays showed that SbMYB3 binds to the promoter of flavone synthase II-2 (SbFNSII-2) and enhances its transcription. In S. baicalensis hairy roots, RNAi of SbMYB3 reduced the accumulation of baicalin and wogonoside, and SbMYB3 knockout decreased the biosynthesis of baicalein, baicalin, wogonin, and wogonoside, whereas SbMYB3 overexpression enhanced the contents of baicalein, baicalin, wogonin, and wogonoside. Transcript profiling by qRT–PCR demonstrated that SbMYB3 activates SbFNSII-2 expression directly, thus leading to more abundant accumulation of RSFs. This study provides a potential target for metabolic engineering of RSFs.
Impact of fisheries footprint on an early warning indicator of resilience reduction in marine net primary productivity
Authors: Zhao Youzhu , Li Yangfan
Published: December 2022

Human activities and climate change have profound effects on marine ecosystems, leading to changes in ecosystem functionality and even reduced resilience. Hence, a systematic assessment of the marine ecosystem resilience and the drivers of resilience is needed. This study provides an approach to help measure the resilience of reduction marine ecosystems by calculating early warning signs of marine net primary productivity, while introducing fishing activities and environmental data in the study area to evaluate the factors affecting marine ecosystem resilience. The results showed that in 36.29% of the Chinese exclusive economic zone, resilience was likely to be significantly decreased. There was a non-linear relationship between fishing activities and indicators of resilience reduction, with pixels with high-intensity fishing activities being more susceptible to resilience reduction. Fishing regulations are urgently needed in areas where marine ecosystem resilience may be reducing. Effective management and protection of marine ecosystems require assessment of the spatial overlap between marine ecosystems states and human activities. This study provides a scientific basis for sustainable management of social-ecological systems by comparing high-precision fishing data to marine environmental data, thereby analysing marine ecosystem resilience through the use of early warning indicators.
The development of an automatic speech recognition model using interview data from long-term care for older adults
Authors: Hacking Coen , Verbeek Hilde , Hamers Jan P H , Aarts Sil
Published: December 2022

Objective

In long-term care (LTC) for older adults, interviews are used to collect client perspectives that are often recorded and transcribed verbatim, which is a time-consuming, tedious task. Automatic speech recognition (ASR) could provide a solution; however, current ASR systems are not effective for certain demographic groups. This study aims to show how data from specific groups, such as older adults or people with accents, can be used to develop an effective ASR.

Materials and methods

An initial ASR model was developed using the Mozilla Common Voice dataset. Audio and transcript data (34 h) from interviews with residents, family, and care professionals on quality of care were used. Interview data were continuously processed to reduce the word error rate (WER).

Results

Due to background noise and mispronunciations, an initial ASR model had a WER of 48.3% on interview data. After finetuning using interview data, the average WER was reduced to 24.3%. When tested on speech data from the interviews, a median WER of 22.1% was achieved, with residents displaying the highest WER (22.7%). The resulting ASR model was at least 6 times faster than manual transcription.

Discussion

The current method decreased the WER substantially, verifying its efficacy. Moreover, using local transcription of audio can be beneficial to the privacy of participants.

Conclusions

The current study shows that interview data from LTC for older adults can be effectively used to improve an ASR model. While the model output does still contain some errors, researchers reported that it saved much time during transcription.
Been There, Done That: How Episodic and Semantic Memory Affects the Language of Authentic and Fictitious Reviews
Authors: Kronrod Ann , Gordeliy Ivan , Lee Jeffrey K
Published: December 2022

This article suggests a theory-driven approach to address the managerial problem of distinguishing between real and fake reviews. Building on memory research and linguistics, we predict that when recollecting an authentic experience in a product review, people rely to a greater extent on episodic memory. By contrast, when writing a fictitious review, people do not have episodic memory available to them. Therefore, they must rely to a greater extent on semantic memory. We suggest that reliance on these different memory types is reflected in the language used in authentic and fictitious reviews. We develop predictions about five linguistic features characterizing authentic versus fictitious reviews. We test our predictions via a multi-method approach, combining computational linguistics, experimental design, and machine learning. We employ a large-scale experiment to derive a dataset of reviews, as well as two datasets containing reviews from online platforms. We also test whether an algorithm relying on our theory-driven linguistic features is context independent, relative to other benchmark algorithms, and shows better cross-domain performance when tested across datasets. By developing a theory that extends memory and psycholinguistics research to the realm of word of mouth, this work contributes to our understanding of how authentic and fictitious reviews are created.
Association of optical, ultraviolet, and soft X-ray excess emissions in AGNs
Authors: Nour D , Sriram K
Published: December 2022

Soft X-ray emission (0.5–2.0 keV) plays a pivotal role in regulating the optical and ultraviolet (UV) emission in the active galactic nuclei (AGNs). We collected a sample of 1811 AGNs from the SDSS database and obtained various parameters of Balmer lines, optical continuum, Mg ii line & UV continuum and studied their dependencies on soft X-ray luminosity. Based on the linear regression analysis, we found that FWHM$_{\rm {Mg\,\,\small {II}}}$ ∝ FWHM$_{\text{H}\beta }^{0.554}$ suggesting that UV emission is arising from a region relatively outside the broad-line region (BLR) associated to the Hβ emission and found a strong correlation between optical and UV luminosities (L$_{\rm {Mg\,\,\small {II}}}$ ∝ $L_{\rm {H}\beta }^{0.822}$). It was noticed that the dependency of optical continuum luminosities on soft excess changes with the redshift (LX ∝ L$^{0.596}_{5100\, \mathring{\rm A}}$ for z < 0.5 and LX ∝ L$^{0.429}_{5100\, \mathring{\rm A}}$ for z > 0.5). The full width at half-maximum components of Hβ and Mg ii core components were found to be virialized and is not affected by the soft excess emission whereas the wings of Mg ii display a dependency. We estimated a relation viz. LX ∝L$^{0.520}_{3000\, \mathring{\rm A}}$ FWHM$^{0.525}_{\rm {Mg\,\,\small {II}}}$ and found to be well in agreement with a proposed physical scenario. All the derived relations were used to understand the intermodulating association of the BLR and disc in the AGNs.
Neural networks: solving the chemistry of the interstellar medium
Authors: Branca L , Pallottini A
Published: December 2022

Non-equilibrium chemistry is a key process in the study of the interstellar medium (ISM), in particular the formation of molecular clouds and thus stars. However, computationally, it is among the most difficult tasks to include in astrophysical simulations, because of the typically high (>40) number of reactions, the short evolutionary time-scales (about 104 times less than the ISM dynamical time), and the characteristic non-linearity and stiffness of the associated ordinary differential equations system (ODEs). In this proof of concept work, we show that Physics Informed Neural Networks (PINN) are a viable alternative to traditional ODE time integrators for stiff thermochemical systems, i.e. up to molecular hydrogen formation (9 species and 46 reactions). Testing different chemical networks in a wide range of densities (−2 < log n/cm−3 < 3) and temperatures (1 < log T/K < 5), we find that a basic architecture can give a comfortable convergence only for simplified chemical systems: to properly capture the sudden chemical and thermal variations, a Deep Galerkin Method is needed. Once trained (∼103 GPUhr), the PINN well reproduces the strong non-linear nature of the solutions (errors $\lesssim 10{{\ \rm per\ cent}}$) and can give speed-ups up to a factor of ∼200 with respect to traditional ODE solvers. Further, the latter have completion times that vary by about $\sim 30{{\ \rm per\ cent}}$ for different initial n and T, while the PINN method gives negligible variations. Both the speed-up and the potential improvement in load balancing imply that PINN-powered simulations are a very palatable way to solve complex chemical calculation in astrophysical and cosmological problems.
Positive feedback, quenching, and sequential super star cluster (SSC) formation in NGC 4945
Authors: Bellocchi E , Martín-Pintado J , Rico-Villas F , Martín S , Jiménez-Sierra I
Published: December 2022

We have used ALMA imaging (resolutions 0.1–0.4 arcsec) of ground and vibrationally excited lines of HCN and HC3N toward the nucleus of NGC 4945 to trace the protostellar phase in super star clusters (proto-SSC). Out of the 14 identified SSCs, we find that eight are in the proto-SSC phase showing vibrational HCN emission with five of them also showing vibrational HC3N emission. We estimate proto-SSC ages of 5–9.7 × 104 yr. The more evolved ones, with only HCN emission, are close to reach the zero-age main sequence (ZAMS; ages ≳105 yr). The excitation of the parental cloud seems to be related to the SSC evolutionary stage, with high (∼65 K) and low (∼25 K) rotational temperatures for the youngest proto and ZAMS SSCs, respectively. Heating by the H ii regions in the SSC ZAMS phase seems to be rather local. The youngest proto-SSCs are located at the edges of the molecular outflow, indicating SSC formation by positive feedback in the shocked regions. The proto-SSCs in NGC 4945 seem to be more evolved than in the starburst galaxy NGC 253. We propose that sequential SSC formation can explain the spatial distribution and different ages of the SSCs in both galaxies.
Predictive modeling of moonlighting DNA-binding proteins
Authors: Varghese Dana Mary , Nussinov Ruth , Ahmad Shandar
Published: December 2022

Moonlighting proteins are multifunctional, single-polypeptide chains capable of performing multiple autonomous functions. Most moonlighting proteins have been discovered through work unrelated to their multifunctionality. We believe that prediction of moonlighting proteins from first principles, that is, using sequence, predicted structure, evolutionary profiles, and global gene expression profiles, for only one functional class of proteins in a single organism at a time will significantly advance our understanding of multifunctional proteins. In this work, we investigated human moonlighting DNA-binding proteins (mDBPs) in terms of properties that distinguish them from other (non-moonlighting) proteins with the same DNA-binding protein (DBP) function. Following a careful and comprehensive analysis of discriminatory features, a machine learning model was developed to assess the predictability of mDBPs from other DBPs (oDBPs). We observed that mDBPs can be discriminated from oDBPs with high accuracy of 74% AUC of ROC using these first principles features. A number of novel predicted mDBPs were found to have literature support for their being moonlighting and others are proposed as candidates, for which the moonlighting function is currently unknown. We believe that this work will help in deciphering and annotating novel moonlighting DBPs and scale up other functions. The source codes and data sets used for this work are freely available at https://zenodo.org/record/7299265#.Y2pO3ctBxPY