bluuebunny/crossref_metadata_2025 huggingface dataset:
Perceived emotional intelligence and subjective well-being during adolescence: The moderating effect of age and sex
Authors: Azpiazu Lorea , Fernández-Zabala Arantza , Rodríguez-Fernández Arantzazu , Ramos-Díaz Estibaliz
Published: December 2022

Studies focusing on subjective well-being during adolescence are relatively scarce yet necessary, due to the drop in well-being that occurs during this developmental stage. The aim of the present study is therefore: (1) to analyze the variability of perceived emotional intelligence (PEI) and subjective well-being in accordance with sex and age; and (2) to explore the moderating effect of sex and age on the association between PEI and subjective well-being. The sample comprised 1542 students aged between 11 and 18 years, divided into two age groups: younger (11–14 years) and older (15–18 years). All participants completed the Trait Meta Mood Scale and the Satisfaction with Life Scale. Several ANOVAs and MANOVAs were performed using the SPSSv.28 statistical package. The simple moderation models were analyzed using the PROCESSv.4 macro. Age was the socio-personal variable that most significantly affected emotion repair and life satisfaction, whereas sex had a greater effect on the other variables studied. Sex moderated the predictive effect of emotional clarity on negative affect among girls, the predicted the effect of emotional attention on positive affect among boys, as well as the predictive effect of emotional clarity on life satisfaction in both groups. The theoretical and practical implications of these results are discussed.
Microwave-Vacuum Extraction Technique as a Green and Clean Label Technology: Kinetics, Efficiency Analysis, and Effect on Bioactive Compounds
Authors: Hameed Abdul , Maan Abid Aslam , Nazir Akmal , Amin Usman , Khan Muhammad Kashif Iqbal , Khan Muhammad Usman , Shariati Mohammad Ali , Rebezov Maksim , Lorenzo José M.
Published: December 2022

Grape pomace is a rich source of bioactive compounds and dietary fiber. This study aims to valorize the grape pomace by microwave-vacuum-assisted drying and extraction, which is a novel, green, and clean label technology. The drying and extraction of bioactive compounds from the grape pomace was optimized using response surface methodology. Box-Behnken design was used for three process variables, i.e., time, power, and vacuum levels. The highest drying rate was observed (5.53 g/100 g min after 10 min of drying) at the combination of 80 W and 20 inHg. This combination significantly reduced the drying time (25%) and resulted in the highest yield (64.5%) of bioactive compounds. Equally, changes in moisture ratio behavior were rapid under these processing conditions. Furthermore, Midilli model (R2 = 0.999, RMSE = 0.002, SSE = 3.71 × 10−6) was the best to justify the fitness of experimental values with predicted values. In addition, the diffusion coefficient, activation energy, and extraction yield were increased with increase in power and pressure. The concentration of bioactive components was higher in dried pomace compared to the extract. The extraction was successfully achieved without the use of solvent and the characteristics of extracted phenolics remained unaltered. Based on these findings, the microwave-vacuum-assisted drying and extraction process can be claimed as a sustainable approach.
Development of thriving at work and organizational citizenship behavior through Islamic work ethics and humble leadership
Authors: Suryani Suryani , Sudrajat Budi , Hendryadi Hendryadi , Saihu Made , Amalia Euis , Fathoni Muhammad Anwar
Published: December 2022

This study examined the mediation and moderation models of the relationship between Islamic work ethics (IWE), thriving at work, organizational citizenship behavior (OCB), and leader humility. A total of 418 employees from two different sample groups (Islamic banks and educational institutions) in Indonesia were included. A multiple regression hierarchy with PROCESS was used to test the hypotheses. We found a positive influence of IWE and leader humility on thriving and OCB and thriving at work on OCB. Thriving was found to mediate the relationship between IWE and OCB, and the leader humility moderates these relationships. Thriving at work and OCB are dramatically under-represented in Islamic work ethics research, and this study attempts to fill this void. Furthermore, this study reveals the interactive role of leader humility and IWE in enhancing OCB preference and the mediating role of thriving at work in the IWE − OCB relationship.
Short-term effects of roxadustat on serum copper and iron changes in a peritoneal dialysis patient
Authors: Nakamura Hironori , Ueda Michiko , Anayama Mariko , Makino Yasushi , Nagasawa Masaki
Published: December 2022

Dysregulation in total body copper causes severe complications and excess copper can be toxic. Divalent metal transporter 1, duodenal cytochrome B, and copper transporter ATPase7A are included in the many intestinal genes transactivated by HlF-α. On July X, 2022 an 80-year-old female patient on peritoneal dialysis was prescribed roxadustat 100 mg, because darbepoetin was unable to increase hemoglobin level effectively. On the same day, icodextrin 1 L was initiated to mitigate edema. Laboratory data showed hemoglobin 9.1 g/dL, transferrin saturation 77%, copper 123 μg/dL, and iron 170 μg/dL before changing to roxadustat. The patient visited us 6 days after the change because of the appetite loss. Transferrin saturation and serum copper and iron levels increased to 90%, 170 and 203 μg/dL, respectively, which were decreased or normalized after discontinuing roxadustat and icodextrin, suggesting that even short-term roxadustat administration can influence copper levels as well as iron levels. Excess copper and iron levels during roxadustat treatment do not immediately equate with toxicity, but indicate a physiological compensation or transient imbalance of metabolism especially in patients treated with ferric citrate. Further investigation for the hypoxia-inducible factor-prolyl hydroxylase inhibitors effects on iron and copper metabolisms is needed. Determining the short-term effect of roxadustat on serum copper and iron in only this case is impossible. Therefore, further accumulation of similar cases is necessary to clarify the short-term effects of roxadustat on serum copper and iron.
Room Temperature Columnar Liquid Crystalline Perylene Bisimide as a Novel Corrosion Resistant Surface Film for Mild Steel Surface
Authors: Behera Paresh Kumar , Rao Srilatha , Popoola Lekan Taofeek , Swamirayachar Sowmyashree Ayachit , AlFalah Mothana Ghazi Kadhim , Kandemirli Fatma , Kodange Shwetha , Prashanth Gopala Krishna , Achalkumar Ammathnadu Sudhakar
Published: December 2022

The corrosion process can be seen as a widespread phenomenon, which is both pervasive and unstoppable. This is an undesirable phenomenon that reduces the life of materials and takes away their beauty. Potentiodynamic and electrochemical impedance tests are used to explore the corrosion inhibition abilities of a room temperature columnar liquid crystalline perylene bisimide (PBIO10) on mild steel (MS) samples in 1 M HCl. The inhibitor PBIO10 was demonstrated to be an outstanding corrosion inhibitor, with a maximum inhibition efficiency of 76%. In light of potentiometric polarization results, corrosion inhibition was achieved as the inhibitor getting adsorbed on the metal, and they fit into the category of anodic inhibitors. The protective layer was examined from SEM to confirm the protective coating generated on the MS surface. The increase in contact angle confirms the formation of a uniform layer on the MS surface. Analysis of the optical textures observed in POM, the nature of the mesophase under examination to columnar rectangular (Colr) phase. From the TGA, it was found that PBIO10 exhibits higher thermal stability u to 370 ℃. The density functional theory (DFT) and Monte Carlo simulation approach were used to investigate the relationship between molecular structure and inhibitory efficacy. The thermal behavior of PBIO10 was investigated by polarizing optical microscopy (POM), differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), and X-ray diffraction (XRD) studies. The phase transition from crystal to LC phase was at first examined with the help of POM observation.

Graphical Abstract
HS-Gen: a hypersphere-constrained generation mechanism to improve synthetic minority oversampling for imbalanced classification
Authors: He Zuowei , Tao Jiaqing , Leng Qiangkui , Zhai Junchang , Wang Changzhong
Published: December 2022

Mitigating the impact of class-imbalance data on classifiers is a challenging task in machine learning. SMOTE is a well-known method to tackle this task by modifying class distribution and generating synthetic instances. However, most of the SMOTE-based methods focus on the phase of data selection, while few consider the phase of data generation. This paper proposes a hypersphere-constrained generation mechanism (HS-Gen) to improve synthetic minority oversampling. Unlike linear interpolation commonly used in SMOTE-based methods, HS-Gen generates a minority instance in a hypersphere rather than on a straight line. This mechanism expands the distribution range of minority instances with significant randomness and diversity. Furthermore, HS-Gen is attached with a noise prevention strategy that adaptively shrinks the hypersphere by determining whether new instances fall into the majority class region. HS-Gen can be regarded as an oversampling optimization mechanism and flexibly embedded into the SMOTE-based methods. We conduct comparative experiments by embedding HS-Gen into the original SMOTE, Borderline-SMOTE, ADASYN, k-means SMOTE, and RSMOTE. Experimental results show that the embedded versions can generate higher quality synthetic instances than the original ones. Moreover, on these oversampled datasets, the conventional classifiers (C4.5 and Adaboost) obtain significant performance improvement in terms of F1 measure and G-mean.
Multicomponent Nanoparticles Synergistic One-Dimensional Nanofibers as Heterostructure Absorbers for Tunable and Efficient Microwave Absorption
Authors: Wang Chenxi , Liu Yue , Jia Zirui , Zhao Wanru , Wu Guanglei
Published: December 2022

Application of novel radio technologies and equipment inevitably leads to electromagnetic pollution. One-dimensional polymer-based composite membrane structures have been shown to be an effective strategy to obtain high-performance microwave absorbers. Herein, we reported a one-dimensional N-doped carbon nanofibers material which encapsulated the hollow Co3SnC0.7 nanocubes in the fiber lumen by electrospinning. Space charge stacking formed between nanoparticles can be channeled by longitudinal fibrous structures. The dielectric constant of the fibers is highly related to the carbonization temperature, and the great impedance matching can be achieved by synergetic effect between Co3SnC0.7 and carbon network. At 800 °C, the necklace-like Co3SnC0.7/CNF with 5% low load achieves an excellent RL value of − 51.2 dB at 2.3 mm and the effective absorption bandwidth of 7.44 GHz with matching thickness of 2.5 mm. The multiple electromagnetic wave (EMW) reflections and interfacial polarization between the fibers and the fibers internal contribute a major effect to attenuating the EMW. These strategies for regulating electromagnetic performance can be expanded to other electromagnetic functional materials which facilitate the development of emerging absorbers.
Coping with COVID-19 – Which Resilience Mechanisms Enabled Austrian Nonprofit Organizations to Weather the Pandemic Storm?
Authors: Stötzer Sandra , Kaltenbrunner Katharina , Grüb Birgit , Martin Sebastian
Published: December 2022

The ongoing COVID-19 pandemic triggered a global crisis affecting the work and partially the existence of businesses, governments, administrations and nonprofit organizations (NPOs). The latter not only faced severe challenges themselves, but also play(ed) a major role in fighting the pandemic, especially those offering services in social and health care. Maintaining service delivery under pandemic conditions to serve the often vital needs of clients requires (organizational) resilience. This concept generally relates to the ability to withstand adversity, to adapt in a turbulent environment and respond to (disruptive) change. Based on a qualitative content analysis of 33 interviews with nonprofit executives, this paper explores the impact of the pandemic on Austrian NPOs active in health and social care in terms of contextual challenges faced. Our study contributes to (nonprofit) resilience research and extreme context research literature as it illustrates how NPOs coped with this disruptive extreme context. Our findings show which resilience mechanisms (i.e. all kinds of resilient behavior, resources and capabilities) were helpful in overcoming pandemic challenges and getting through these hard times.
Influence of interval type-2 fuzzy control approach for a grid-interconnected doubly-fed induction generator driven by wind energy turbines in variable-speed system
Authors: Hamdan I. , Youssef Marwa M. M. , Noureldeen Omar
Published: December 2022

This paper suggests a developed control technique using an interval type-2 fuzzy logic control (FLC) tuned PI for optimum torque adjustment for wind turbines operated by doubly fed induction generator (DFIG). The suggested control regulates the error of the mechanical rotor speed to enhance the performance of the torque and the output power results in the study system's overall performance improving. The suggested control combines the advantages of the two techniques: fast response of conventional PI control and adaptively properties of interval type-2 FLC. The studied system is a wind farm of 9 MW composed of 6 wind turbines of 1.5 MW each. Wind speed functions of several types are studied such as step change, extreme change, and constant high speed. The results indicate how the power and optimal torque have fast response with interval type-2 FLC tuned PI compared to the type-1 fuzzy tuned PI and conventional PI control. The simulated results deduce that the suggested interval type-2 FLC can enhance the wind energy system's stability and reliability in a better manner compared to the type-1 FLC and conventional PI.
Keyword Extraction: A Modern Perspective
Authors: Nomoto Tadashi
Published: December 2022

The goal of keyword extraction is to extract from a text, words, or phrases indicative of what it is talking about. In this work, we look at keyword extraction from a number of different perspectives: Statistics, Automatic Term Indexing, Information Retrieval (IR), Natural Language Processing (NLP), and the emerging Neural paradigm. The 1990s have seen some early attempts to tackle the issue primarily based on text statistics [13, 17]. Meanwhile, in IR, efforts were largely led by DARPA’s Topic Detection and Tracking (TDT) project [2]. In this contribution, we discuss how past innovations paved a way for more recent developments, such as LDA, PageRank, and Neural Networks. We walk through the history of keyword extraction over the last 50 years, noting differences and similarities among methods that emerged during the time. We conduct a large meta-analysis of the past literature using datasets from news media, science, and medicine to business and bureaucracy, to draw a general picture of what a successful approach would look like.
Microfluidic SERS devices: brightening the future of bioanalysis
Authors: Oliveira Maria João , Dalot Ana , Fortunato Elvira , Martins Rodrigo , Byrne Hugh J. , Franco Ricardo , Águas Hugo
Published: December 2022

A new avenue has opened up for applications of surface-enhanced Raman spectroscopy (SERS) in the biomedical field, mainly due to the striking advantages offered by SERS tags. SERS tags provide indirect identification of analytes with rich and highly specific spectral fingerprint information, high sensitivity, and outstanding multiplexing potential, making them very useful in in vitro and in vivo assays. The recent and innovative advances in nanomaterial science, novel Raman reporters, and emerging bioconjugation protocols have helped develop ultra-bright SERS tags as powerful tools for multiplex SERS-based detection and diagnosis applications. Nevertheless, to translate SERS platforms to real-world problems, some challenges, especially for clinical applications, must be addressed. This review presents the current understanding of the factors influencing the quality of SERS tags and the strategies commonly employed to improve not only spectral quality but the specificity and reproducibility of the interaction of the analyte with the target ligand. It further explores some of the most common approaches which have emerged for coupling SERS with microfluidic technologies, for biomedical applications. The importance of understanding microfluidic production and characterisation to yield excellent device quality while ensuring high throughput production are emphasised and explored, after which, the challenges and approaches developed to fulfil the potential that SERS-based microfluidics have to offer are described.
Light signaling-mediated growth plasticity in Arabidopsis grown under high-temperature conditions
Authors: Wang Qi , Zhu Ziqiang
Published: December 2022

Growing concern around global warming has led to an increase in research focused on plant responses to increased temperature. In this review, we highlight recent advances in our understanding of plant adaptation to high ambient temperature and heat stress, emphasizing the roles of plant light signaling in these responses. We summarize how high temperatures regulate plant cotyledon expansion and shoot and root elongation and explain how plants use light signaling to combat severe heat stress. Finally, we discuss several future avenues for this research and identify various unresolved questions within this field.
Smartphone Mediated Tracking and Analysis of Sleep Patterns in Indian College Students
Authors: Vaghela Maitri , Sasidhar Kalyan
Published: December 2022

Sleep is one of the essential bio-makers for human health. Poor sleep is associated with reduced cognitive performance. With most smartphone users in India being college students, the focus is now on exploring smartphone usage’s impact on students’ sleep. Umpteen news articles in India have reported binge-watching, social media use during the night, and other mobile phone-related interruptions as causes of improper sleep and irregular sleep patterns. However, such studies may involve bias while self-reporting and are limited to a one-time exercise. To understand the reality, we need to accurately quantify the sleep duration, patterns, mobile usage before and after bedtime, number and duration of interruptions. In this first-of-its-kind study in India, we infer novel insights into the sleep patterns of a cohort of 40 college students. We implement a mobile sensing-based approach for the study by installing a custom-developed mobile app on all phones. We extract sleep activity and infer the sleep duration, bed-in and wake-up times, and interruption duration from the sensor data collected from the phone’s built-in sensors. The study brings about new insights into college student sleep patterns and, interestingly, shows that students have a regular sleep cycle and good sleep quality. Only one-fourth of the students revealed irregular sleep patterns, and we did not observe any mobile-related interruptions 30 min past bedtime.
Movement mechanisms for transport aircraft during severe clear-air turbulence encounter
Authors: Jiang W. , Chang R.C. , Yang N. , Ding M.
Published: December 2022

The objective of this paper is to present the movement mechanisms of transport aircraft response to severe clear-air turbulence to obtain the loss of control prevention for pilot training in IATA – Loss of Control In-flight (LOC-I) program. The transport aircraft in transonic flight is subjected to severe clear-air turbulence, resulting in a sudden plunging motion with the abrupt change in flight attitude and gravitational acceleration. The comparative analyses of the flight environment and aircraft response to severe clear-air turbulence for two four-jet aircraft are studied. The one with a larger dropped-off altitude during the plunging motion will be chosen to construct the movement mechanism. The nonlinear unsteady aerodynamic model of the chosen transport is established through flight data mining and the fuzzy-logic modeling of artificial intelligence technique based on post-flight data. The crosswind before the turbulence encounter will easily induce a rolling motion and then the sudden plunging motion during the turbulence encounter. The influences of the varying vertical wind and crosswind on loss of control are presented. To formulate preventive actions, the situation awareness of varying crosswind encountering for the operational pilot will be studied further in the future. The present study is initiated to examine the possible mitigation concepts of accident prevention for the pilot training course of IATA – Loss of Control In-flight (LOC-I) program.
Modelling Alzheimer's disease using human brain organoids: current progress and challenges
Authors: Yanakiev Mario , Soper Olivia , Berg Daniel A. , Kang Eunchai
Published: December 2022

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterised by gradual memory loss and declining cognitive and executive functions. AD is the most common cause of dementia, affecting more than 50 million people worldwide, and is a major health concern in society. Despite decades of research, the cause of AD is not well understood and there is no effective curative treatment so far. Therefore, there is an urgent need to increase understanding of AD pathophysiology in the hope of developing a much-needed cure. Dissecting the cellular and molecular mechanisms of AD pathogenesis has been challenging as the most commonly used model systems such as transgenic animals and two-dimensional neuronal culture do not fully recapitulate the pathological hallmarks of AD. The recent advent of three-dimensional human brain organoids confers unique opportunities to study AD in a humanised model system by encapsulating many aspects of AD pathology. In the present review, we summarise the studies of AD using human brain organoids that recapitulate the major pathological components of AD including amyloid-β and tau aggregation, neuroinflammation, mitochondrial dysfunction, oxidative stress and synaptic and circuitry dysregulation. Additionally, the current challenges and future directions of the brain organoids modelling system are discussed.
‘It’s Like the Sword of Damocles’ – A Trauma-Informed Framework Analysis of Individuals’ Experiences of Assessment for the Personal Independence Payment Benefit in the UK
Authors: Roberts Helen , Stuart Simon Robertson , Allan Stephanie , Gumley Andrew
Published: December 2022

While a growing body of evidence has highlighted the psychological distress experienced by individuals dealing with the UK benefits system, there has been little research into that system from the perspective of Trauma Informed Care (TIC). This study explored to what extent people’s experiences of benefits assessment fitted with TIC principles, using a framework produced by NHS Education for Scotland. Secondary aims were to understand experiences that were not captured by the framework, and to explore the limitations of the framework in context. Participants were 12 people receiving NHS therapy for trauma-related difficulties, who had attended an assessment for the Personal Independence Payment (PIP), a UK financial benefit designed to help with long-term illness or disability. Semi-structured interviews were carried out, and a framework analysis conducted. Results suggested that PIP assessments were severely re-traumatising, with a prolonged adverse effect on mental health. Participants’ experiences contrasted so greatly with the principles of TIC that an alternative framework was constructed, comprising five key themes: harm, distrust, rigidity, intimidation, and powerlessness. Recommendations are made for further research, including an understanding of assessors’ perspectives, and how TIC principles might be introduced into the assessment process.
Promoting Information Literacy and Visual Literacy Skills in Undergraduate Students Using Infographics
Authors: Kalaf-Hughes Nicole
Published: December 2022

Because research and communication proficiency is ubiquitous in the academic and professional world, teaching students the necessary information literacy (IL) and visual literacy (VL) skills has become increasingly important. Integrating IL and VL pedagogy into substantive coursework can enhance students’ comprehension of the material and teach them to make a meaningful contribution to public awareness and understanding of political science. Yet, faculty often find it challenging to include instruction in these skills with necessary coverage of substantive course material. This article discusses the use of an infographic assignment in an introductory American government course as a tool to teach literacy skills and to reinforce substantive course concepts. Encouraging students to distill academic research into an infographic requires them to understand the process of information creation, the role of visuals in communication, and how scholarship acts as a conversation—all key components of literacy in higher education.
Permafrost Dynamics Observatory (PDO): 2. Joint Retrieval of Permafrost Active Layer Thickness and Soil Moisture From L‐Band InSAR and P‐Band PolSAR
Authors: Chen Richard H. , Michaelides Roger J. , Zhao Yuhuan , Huang Lingcao , Wig Elizabeth , Sullivan Taylor D. , Parsekian Andrew D. , Zebker Howard A. , Moghaddam Mahta , Schaefer Kevin M.
Published: December 2022

Seasonal subsidence induced by ground ice melt can be measured by interferometric synthetic aperture radar (InSAR) techniques to infer active layer thickness (ALT) in permafrost regions. The magnitude of subsidence depends on both how deep the soil thawed and how much ice/water content existed in the active layer soil. To provide the later, P‐band polarimetric synthetic aperture radar (PolSAR) backscatter is used due to its sensitivity to subsurface soil moisture and freeze/thaw conditions. In this study, which is the second in a two‐part series of Permafrost Dynamics Observatory (PDO), we exploit L‐band InSAR subsidence and P‐band PolSAR backscatter in a joint retrieval scheme to simultaneously estimate ALT and soil moisture profile of permafrost active layer. Both subsidence and backscatter are explicitly characterized by physics‐based models and share a common set of soil parameters including porosity and water saturation profiles. The PDO joint retrieval has been applied to the L‐ and P‐band SAR data acquired by National Aeronautics and Space Administration/Jet Propulsion Laboratory's Uninhabited Aerial Vehicle Synthetic Aperture Radar over Alaska and western Canada during the 2017 Arctic‐Boreal Vulnerability Experiment (ABoVE) airborne campaign. This high‐resolution (30 m) regional estimates of ALT and soil moisture profile spanning over the ABoVE study domain can help link the ground‐based field surveys with satellite observations to further understand the permafrost and active layer soil process dynamics to disturbances and climate change occurring across the northern circumpolar region.
Social Media Posts Reveal Human Responses to Deadly Tongan Eruption
Authors: Martin-Jones Erin
Published: December 2022

Quantifying human responses to natural disasters could improve preparation for future threats, scientists say.
Currents off the Papua New Guinea Coast During and After the El Niño of 2015–2016
Authors: Wu Jie , Zhang Linlin , Wang Fan , Kaluwin Chalapan , Hu Dunxin
Published: December 2022

Interannual variation of New Guinea Coastal Undercurrent (NGCUC) along the Papua New Guinea (PNG) coast was investigated using mooring observations during 2015–2019 combined with eddy‐resolving simulations of the Ocean General Circulation Model for the Earth Simulator (OFES) during 1980–2019. Strong interannual variation appears in the upper 800 m of the currents recorded by the mooring, which is well reproduced by OFES outputs. On the interannual time scale, a relatively larger proportion (1.1 Sv) of the transport signals related to El Niño/Southern Oscillation (ENSO) in the Solomon Sea is transmitted through the Solomon Strait, while about 0.84 Sv of ENSO signal is through the Vitiaz Strait due to the topography constraint. As the NGCUC flows along the PNG coast, the mean transport above 400 m gradually increases while its relationship with ENSO rapidly weakens. This weakening is due to its merging with the westward South Equatorial Current (SEC). The westward SEC weakens (strengthens) during El Niño (La Niña) events, which weakens the interannual signal of NGCUC. The interannual variations of the currents above and below the thermocline off the PNG coast are opposite: a clockwise anomalous circulation straddling the equator appears above the thermocline, while a counterclockwise anomalous circulation appears below the thermocline during El Niño, which is connected to the recharge‐discharge oscillation during ENSO cycle.
The Remote Role of North‐American Mesoscale Convective Systems on the Forecast of a Rossby Wave Packet: A Multi‐Model Ensemble Case‐Study
Authors: Lojko Alexander , Payne Ashley , Jablonowski Christiane
Published: December 2022

North American Mesoscale Convective Systems (MCSs) have been linked to instances of poorly forecasted Rossby wave packets (RWPs). A computationally inexpensive investigation is proposed to demonstrate a dynamical mechanism by which MCSs modify a RWP associated with a high‐impact weather event. Global ensemble forecast data, reanalysis and high‐resolution observations are used to assess the remote role of negative potential vorticity (PV) arising from divergent outflow on RWP propagation coinciding with the 11–21 June 2017 European heatwave. In this case, synoptic‐scale bands of negative PV which advect toward the jet stream arise from regions of active MCSs. The forecast data results show that the numerical misrepresentation of the anticyclonic circulation associated with negative PV can impinge on the forecast of a RWP. In each of the four forecasting models assessed, ensemble members that advected lower values of PV toward the equatorward branch of a North American ridge favored enhanced poleward amplification of the ridge and a more eastward progression of the RWP. The more eastward displacement of the RWP also coincided with an enhanced wave activity flux downstream. Although, we do not find a significant impact on the forecasted heatwave. The results urge further investigation into the role of negative PV in remotely influencing high‐impact weather.
ENSO‐GTC: ENSO Deep Learning Forecast Model With a Global Spatial‐Temporal Teleconnection Coupler
Authors: Mu Bin , Qin Bo , Yuan Shijin
Published: December 2022

Continuing the tropical Pacific multivariate air‐sea coupler proposed by us before, we design the Global spatial‐temporal Teleconnection Coupler (GTC), which is modeled to discover the latent teleconnections among global sea surface temperature (SST). To this end, Pacific, Indian, and Atlantic oceans are divided into small ocean patches that compose a dynamics graph, in which the adjacent relationships are artificially constructed by prior knowledge and the non‐adjacent relationships are learned from the data by deep learning methods. Based on GTC, an El Niño‐Southern Oscillation (ENSO) deep learning forecast model (ENSO‐GTC) is established, where probability graph convolution layers are designed to learn spatial‐temporal teleconnection, that is, non‐adjacent relationships in the dynamics graph. A loss function with a graph total variations penalty term is remarkably proposed to maintain physical consistency. We tune ENSO‐GTC to the optimal, which has Niño3.4 index correlation skills of 0.79/0.66/0.51 at 6‐/12‐/18‐month forecasts with iterative strategy, and above 0.6 within 20‐month forecasts with direct strategy, outperforming the other state‐of‐the‐art models. We explore the forecast skill of ENSO‐GTC on the effective forecast lead time, improvements of persistence barrier, and analysis of forecast errors. Moreover, we find that what GTC has learned exactly matches multiple ENSO theories. The oscillations of Kelvin and Rossby waves make a 6‐month lagged correlation on Pacific SST. The north and south Pacific meridional modes (NPMM and SPMM) are strongly linked to the evolutions of ENSO and should be monitored more. The teleconnections between equatorial Indian/Atlantic and Pacific are very important and usually have 2‐month/8‐month lagged correlations before ENSO.
Neurostructural associations with traumatic experiences during child- and adulthood
Authors: Siehl Sebastian , Sicorello Maurizio , Herzog Julia , Nees Frauke , Kleindienst Nikolaus , Bohus Martin , Müller-Engelmann Meike , Steil Regina , Priebe Kathlen , Schmahl Christian , Flor Herta
Published: December 2022

Adverse experiences can lead to severe mental health problems, such as posttraumatic stress disorder (PTSD), throughout the lifespan. In individuals with PTSD, both global and local brain volume reductions have been reported—especially in the amygdala and hippocampus—while the literature on childhood maltreatment suggests a strong dependency on the timing of adverse events. In the present study, we pooled data from two studies to contrast the effects of reported trauma exposure during neurodevelopmentally sensitive periods in early life with trauma exposure during adulthood. A total of 155 women were allocated into one of six age-matched groups according to the timing of traumatization (childhood vs adulthood) and psychopathology (PTSD vs trauma-exposed healthy vs trauma-naïve healthy). Volumes of the amygdala and hippocampus were compared between these groups. Six additional exploratory regions of interest (ROI) were included based on a recent meta-analysis. Amygdala volume was strongly dependent on the timing of traumatization: Smaller amygdala volumes were observed in participants with childhood trauma and PTSD compared to the healthy control groups. In contrast, larger amygdala volumes were observed in both groups with trauma exposure during adulthood compared to the trauma-naïve control group. Hippocampal volume comparisons revealed no statistically significant differences, although the descriptive pattern was similar to that found for the amygdala. The remaining exploratory ROIs showed significant group effects, but no timing effects. The timing might be an important moderator for adversity effects on amygdala volume, potentially reflecting neurodevelopmental factors. Albeit confounded by characteristics like trauma type and multiplicity, these findings pertain to typical childhood and adulthood trauma as often observed in clinical practice and speak against a simple association between traumatic stress and amygdala volume.
Impact of adjuvant chemotherapy and radiotherapy on tumour-infiltrating lymphocytes and PD-L1 expression in metastatic breast cancer
Authors: Yazaki Shu , Salgado Roberto , Shimoi Tatsunori , Yoshida Masayuki , Shiino Sho , Kaneda Tomoya , Kojima Yuki , Sumiyoshi-Okuma Hitomi , Nishikawa Tadaaki , Sudo Kazuki , Noguchi Emi , Murata Takeshi , Takayama Shin , Suto Akihiko , Ohe Yuichiro , Yonemori Kan
Published: December 2022

Background

Chemotherapy and radiotherapy were postulated to induce an inflamed tumour microenvironment. We aimed to evaluate the effects of adjuvant chemotherapy/radiotherapy on tumour-infiltrating lymphocytes (TILs) and programmed death-ligand 1 (PD-L1) expression in metastatic breast cancer.

Methods

We identified paired primary and metastatic tumours in 85 patients with breast cancer. Stromal TILs were assessed according to international guidelines. PD-L1 expression was evaluated using the VENTANA SP142 assay.

Results

TILs were significantly lower in metastatic tumours than in primary tumours (12.2 vs. 8.3%, p = 0.049). PD-L1 positivity was similar between primary and metastatic tumours (21.2 vs. 14.1%, p = 0.23). TILs were significantly lower in patients who received adjuvant chemotherapy than in those who did not (−9.07 vs. 1.19%, p = 0.01). However, radiotherapy had no significant effect on TILs (p = 0.44). Decreased TILs predicted worse post-recurrence survival (hazard ratio, 2.94; 95% confidence interval [CI]: 1.41–6.13, p = 0.003), while increased TILs was associated with a better prognosis (HR, 0.12; 95% CI: 0.02–0.08, p = 0.04).

Conclusions

TILs decreased in metastatic tumours, particularly in patients who relapsed after adjuvant chemotherapy. Changes in TILs from primary to metastatic sites could be a prognostic factor after recurrence.
Association between atherogenic lipids and GnRH agonists for prostate cancer in men with T2DM: a nationwide, population-based cohort study in Sweden
Authors: Lin E. , Garmo Hans , Hagström Emil , Van Hemelrijck Mieke , Adolfsson Jan , Stattin Pär , Zethelius Björn , Crawley Danielle
Published: December 2022

Background

Gonadotropin-releasing hormone agonists (GnRH) used in prostate cancer (PCa) are associated with atherogenic dyslipidaemia. It can be assumed that GnRH need to be used with greater caution in men with type 2 diabetes mellitus (T2DM). This study investigated association of GnRH with atherogenic lipids (AL) in PCa men with T2DM.

Methods

Two cohorts including 38,311 men with 11 years follow-up based on Swedish national registers were defined (PCa-Exposure cohort and GnRH-Exposure cohort). Based on European guidelines on cardiovascular diseases (CVD), primary outcomes were defined as: 1.0 mmol/L increase in AL and lipid-lowering therapy (LLT) intensification. We used Cox proportional-hazards models and Kaplan–Meier curves to assess the association.

Results

There was an association between GnRH and increased AL (i.e., triglyceride, PCa-Exposure cohort: HR 1.77, 95% CI 1.48–2.10; GnRH-Exposure cohort: HR 1.88, 95% CI 1.38–2.57). There was also an association between PCa diagnosis and increased AL. In contrast, no association between LLT intensification and GnRH was found.

Conclusion

In this large population-based study, men with T2DM on GnRH for PCa had an increased risk of increased atherogenic lipids. These results highlight the need to closely monitor lipids and to be ready to intensify lipid-lowering therapy in men with T2DM on GnRH for PCa.
Endothelial cell-specific molecule 1 drives cervical cancer progression
Authors: Lu Jingjing , Liu Qin , Zhu Lixia , Liu Yuanyuan , Zhu Xiaoren , Peng Shiqing , Chen Minbin , Li Ping
Published: December 2022

The expression, biological functions and underlying molecular mechanisms of endothelial cell-specific molecule 1 (ESM1) in human cervical cancer remain unclear. Bioinformatics analysis revealed that ESM1 expression was significantly elevated in human cervical cancer tissues, correlating with patients’ poor prognosis. Moreover, ESM1 mRNA and protein upregulation was detected in local cervical cancer tissues and various cervical cancer cells. In established and primary cervical cancer cells, ESM1 shRNA or CRISPR/Cas9-induced ESM1 KO hindered cell proliferation, cell cycle progression, in vitro cell migration and invasion, and induced significant apoptosis. Whereas ESM1 overexpression by a lentiviral construct accelerated proliferation and migration of cervical cancer cells. Further bioinformatics studies and RNA sequencing data discovered that ESM1-assocaited differentially expressed genes (DEGs) were enriched in PI3K-Akt and epithelial-mesenchymal transition (EMT) cascades. Indeed, PI3K-Akt cascade and expression of EMT-promoting proteins were decreased after ESM1 silencing in cervical cancer cells, but increased following ESM1 overexpression. Further studies demonstrated that SYT13 (synaptotagmin 13) could be a primary target gene of ESM1. SYT13 silencing potently inhibited ESM1-overexpression-induced PI3K-Akt cascade activation and cervical cancer cell migration/invasion. In vivo, ESM1 knockout hindered SiHa cervical cancer xenograft growth in mice. In ESM1-knockout xenografts tissues, PI3K-Akt inhibition, EMT-promoting proteins downregulation and apoptosis activation were detected. In conclusion, overexpressed ESM1 is important for cervical cancer growth in vitro and in vivo, possibly by promoting PI3K-Akt activation and EMT progression. ESM1 represents as a promising diagnostic marker and potential therapeutic target of cervical cancer.
Room-temperature valley transistors for low-power neuromorphic computing
Authors: Chen Jiewei , Zhou Yue , Yan Jianmin , Liu Jidong , Xu Lin , Wang Jingli , Wan Tianqing , He Yuhui , Zhang Wenjing , Chai Yang
Published: December 2022

Valley pseudospin is an electronic degree of freedom that promises highly efficient information processing applications. However, valley-polarized excitons usually have short pico-second lifetimes, which limits the room-temperature applicability of valleytronic devices. Here, we demonstrate room-temperature valley transistors that operate by generating free carrier valley polarization with a long lifetime. This is achieved by electrostatic manipulation of the non-trivial band topology of the Weyl semiconductor tellurium (Te). We observe valley-polarized diffusion lengths of more than 7 μm and fabricate valley transistors with an ON/OFF ratio of 105 at room temperature. Moreover, we demonstrate an ion insertion/extraction device structure that enables 32 non-volatile memory states with high linearity and symmetry in the Te valley transistor. With ultralow power consumption (~fW valley contribution), we enable the inferring process of artificial neural networks, exhibiting potential for applications in low-power neuromorphic computing.
Multi-omics identify falling LRRC15 as a COVID-19 severity marker and persistent pro-thrombotic signals in convalescence
Authors: Gisby Jack S. , Buang Norzawani B. , Papadaki Artemis , Clarke Candice L. , Malik Talat H. , Medjeral-Thomas Nicholas , Pinheiro Damiola , Mortimer Paige M. , Lewis Shanice , Sandhu Eleanor , McAdoo Stephen P. , Prendecki Maria F. , Willicombe Michelle , Pickering Matthew C. , Botto Marina , Thomas David C. , Peters James E.
Published: December 2022

Patients with end-stage kidney disease (ESKD) are at high risk of severe COVID-19. Here, we perform longitudinal blood sampling of ESKD haemodialysis patients with COVID-19, collecting samples pre-infection, serially during infection, and after clinical recovery. Using plasma proteomics, and RNA-sequencing and flow cytometry of immune cells, we identify transcriptomic and proteomic signatures of COVID-19 severity, and find distinct temporal molecular profiles in patients with severe disease. Supervised learning reveals that the plasma proteome is a superior indicator of clinical severity than the PBMC transcriptome. We show that a decreasing trajectory of plasma LRRC15, a proposed co-receptor for SARS-CoV-2, is associated with a more severe clinical course. We observe that two months after the acute infection, patients still display dysregulated gene expression related to vascular, platelet and coagulation pathways, including PF4 (platelet factor 4), which may explain the prolonged thrombotic risk following COVID-19.
A genetic disorder reveals a hematopoietic stem cell regulatory network co-opted in leukemia
Authors: Voit Richard A. , Tao Liming , Yu Fulong , Cato Liam D. , Cohen Blake , Fleming Travis J. , Antoszewski Mateusz , Liao Xiaotian , Fiorini Claudia , Nandakumar Satish K. , Wahlster Lara , Teichert Kristian , Regev Aviv , Sankaran Vijay G.
Published: December 2022

The molecular regulation of human hematopoietic stem cell (HSC) maintenance is therapeutically important, but limitations in experimental systems and interspecies variation have constrained our knowledge of this process. Here, we have studied a rare genetic disorder due to MECOM haploinsufficiency, characterized by an early-onset absence of HSCs in vivo. By generating a faithful model of this disorder in primary human HSCs and coupling functional studies with integrative single-cell genomic analyses, we uncover a key transcriptional network involving hundreds of genes that is required for HSC maintenance. Through our analyses, we nominate cooperating transcriptional regulators and identify how MECOM prevents the CTCF-dependent genome reorganization that occurs as HSCs differentiate. We show that this transcriptional network is co-opted in high-risk leukemias, thereby enabling these cancers to acquire stem cell properties. Collectively, we illuminate a regulatory network necessary for HSC self-renewal through the study of a rare experiment of nature.
Dapagliflozin in heart failure with improved ejection fraction: a prespecified analysis of the DELIVER trial
Authors: Vardeny Orly , Fang James C. , Desai Akshay S. , Jhund Pardeep S. , Claggett Brian , Vaduganathan Muthiah , de Boer Rudolf A. , Hernandez Adrian F. , Lam Carolyn S. P. , Inzucchi Silvio E. , Martinez Felipe A. , Kosiborod Mikhail N. , DeMets David , O’Meara Eileen , Zieroth Shelley , Comin-Colet Josep , Drozdz Jaroslaw , Chiang Chern-En , Kitakaze Masafumi , Petersson Magnus , Lindholm Daniel , Langkilde Anna Maria , McMurray John J. V. , Solomon Scott D.
Published: December 2022

With modern treatments for heart failure with reduced ejection fraction (EF), indicative of impaired cardiac systolic function, patients may exhibit an increase in EF. Limited data are available regarding the clinical management of this growing population, categorized as heart failure with improved EF (HFimpEF), which has a high event rate and has been excluded from virtually all prior heart failure outcomes trials. In a prespecified analysis of the DELIVER trial (NCT03619213), of a total of 6,263 participants with symptomatic heart failure and a left ventricular EF >40%, 1,151 (18%) had HFimpEF, defined as patients whose EF improved from ≤40% to >40%. Participants were randomized to 10 mg dapagliflozin or placebo daily and the primary outcome of the trial was a composite of cardiovascular death or worsening heart failure (heart failure hospitalization or an urgent heart failure visit). Participants with HFimpEF had similar event rates to those with an EF consistently >40%. In participants with HFimpEF, dapagliflozin reduced the primary composite outcome (hazard ratio (HR) = 0.74, 95% confidence interval (CI) = 0.56–0.97), first worsening heart failure events (HR = 0.84, 95% CI = 0.61–1.14), cardiovascular death (HR = 0.62, 95% CI = 0.41–0.96) and total worsening heart failure events (rate ratio = 0.68, 95% CI = 0.50–0.94) to a similar extent as for individuals with an EF consistently >40%. These data suggest that patients with HFimpEF who are symptomatic may benefit from the addition of a sodium/glucose cotransporter 2 inhibitor to previously instituted guideline-directed medical therapy to further reduce morbidity and mortality.
The China plant trait database version 2
Authors: Wang Han , Harrison Sandy P. , Li Meng , Prentice I. Colin , Qiao Shengchao , Wang Runxi , Xu Huiying , Mengoli Giulia , Peng Yunke , Yang Yanzheng
Published: December 2022

Plant functional traits represent adaptive strategies to the environment, linked to biophysical and biogeochemical processes and ecosystem functioning. Compilations of trait data facilitate research in multiple fields from plant ecology through to land-surface modelling. Here we present version 2 of the China Plant Trait Database, which contains information on morphometric, physical, chemical, photosynthetic and hydraulic traits from 1529 unique species in 140 sites spanning a diversity of vegetation types. Version 2 has five improvements compared to the previous version: (1) new data from a 4-km elevation transect on the edge of Tibetan Plateau, including alpine vegetation types not sampled previously; (2) inclusion of traits related to hydraulic processes, including specific sapwood conductance, the area ratio of sapwood to leaf, wood density and turgor loss point; (3) inclusion of information on soil properties to complement the existing data on climate and vegetation (4) assessments and flagging the reliability of individual trait measurements; and (5) inclusion of standardized templates for systematical field sampling and measurements.