bluuebunny/crossref_metadata_2025 huggingface dataset:
A respiratory physician's view of acquired subglottic stenosis
Authors: Dinwiddie Robert
Published: November 2023

Apart from the neonatal period acquired subglottic stenosis is most
often seen in infancy and early childhood. It remains the commonest
indication for tracheostomy in the paediatric age group, (Jennings, 1987).
The aetiology is usually multiple and may include major contributory factors
from the airway itself, the presence of an intercurrent illness and the
complications of intubation (Table I). The airway may be intrinsically
normal or abnormal at birth but may subsequently be stressed by various
events such as infection either in the neonatal period or in the first few
months of life. Extrinsic compressions of the airway, for example by a
vascular ring (Westaby et al., 1984) may produce
tracheomalacia so increasing the risks of respiratory obstruction during
intercurrent infection. Intubation is the preferred method of airway support
for those with associated severe respiratory failure but brings with it a
number of potential complications which may eventually lead to significant
subglottic narrowing.
The Forgotten History of Our Times: Revisiting Utpal Dutt's Titu Mir in Contemporary India
Authors: SINHA ROY MALLARIKA
Published: November 2023

This paper is an exploration of the most recent revival of Utpal Dutt's play Titu Mir in 2019 by the ensemble group Theatre Formation Paribartak in India. Islamic religious reformer Titu Mir led a peasant rebellion from 1827 to 1831 in the Barasat region of Bengal and the play focuses on a narrative of revolutionary resistance to colonialism. Titu Mir becomes an articulation of political theatre against the Hindu right-wing agenda of expunging Muslim national heroes from Indian history. This essay seeks Titu Mir's relevance as a site and theory of materializing historical contradictions, and as part of a ‘gestic’ feminist criticism of theatre. The essay attempts to understand how critique of patriarchal ideology is enmeshed in critique of colonialism in Titu Mir, especially in those moments where the play addresses complexities of political violence, interracial romance, martyrdom, alienation in the colony and deep-rooted misogyny in the project of colonialism.
‘Getting Asia right’: de-essentializing China's hegemony in historical Asia
Authors: Hui Victoria Tin-bor
Published: November 2023

International Relations (IR) scholars have taken China's presumed hegemony in pre-modern East Asia as an ideal case to ‘undermine’ the field's Eurocentrism. If Eurocentric IR is guilty of ‘getting Asia wrong’, do students of historical Asia ‘get Asia right’? Analysts should avoid exotifying differences between the West and the East and ‘exchanging Eurocentrism for Sinocentrism’. This article tries to ‘get Asia [more] right’ by ‘disaggregating’ and then ‘reassembling’ taken-for-granted concepts by time, space, and relationality. When ‘Confucianism’ is understood to justify both war and peace in competition with other thoughts, it does not dictate peace among East Asian states or conflicts across the Confucian–nomadic divide. When ‘China’ is unpacked, it does not sit on top of an Asian hierarchy. When Korea's, Vietnam's, and Japan's views of their relations with China are examined rather than presumed, cultural legitimacy is thinned out. When ‘Asia’ is broadened to cover webs of relations beyond East Asia to Central Asia, Confucianism recedes in centrality and pan-Asian phenomena including Buddhism and the steppe tradition come to the fore. The article concludes that a better challenge to Eurocentrism is not to search for cultural differences but to locate Eurasian similarities that erase European superiority.
Global at birth: a relational sociology of disciplinary knowledge in IR and the case of India
Authors: Bayly Martin J.
Published: November 2023

Advocates of global international relations (IR) present IR as a Eurocentric discipline that should now diversify its theoretical and empirical focus to the non-west. This paper turns this argument on its head, arguing that IR was ‘global at birth’. Concentrating in particular on the implications that global IR debate has for our understanding of the historical development of disciplinary knowledge, the article argues that both conventional and critical stances within this debate tend to express a substantialist conception of knowledge formations, one which encourages diffusionist ideas of the spread of knowledge from an origin to a destination, and essentialist representations of specific geographies of knowledge. In order to address this, the paper proposes a relational sociology of disciplinary knowledge that offers a more historically grounded understanding of the ongoing, provisional, connected, and configurational nature of knowledge construction, without losing sight of the hierarchies that inflect this. The article applies this framework to archival work on the intellectual history of international thought in India, offering an approach that allows a global account of the development of disciplinary IR that operates within and beyond imperial frames, encompassing the entangled histories of colonial, anti-colonial, and postcolonial lineages of what became known as ‘International Relations’ in the 20th century.
Control of Source‐To‐Sink Processes on the Dispersal, Fractionation, and Deposition of Magnetic Minerals in a Tropical Mesotidal Estuarine System
Authors: Badesab Firoz , Kadam Nitin , Gullapalli Sriram , Dewangan Pawan , Gaikwad Virsen , Satelkar Narayan , Khalap Sadashiv , Venkateshwarlu Mamilla , Sahoo Rakesh Kumar , Fernandes Walsh , Dahake Piyush , Banerjee Deblina
Published: November 2023

This study aims to elucidate the control of source‐to‐sink processes on the sediment dynamics of a complex mesotidal tropical estuarine system using rock magnetic, sedimentological, mineralogical, and geochemical methods. Integration of multiproxy data of catchment rocks, riverbank and hinterland soils, and bedload sediments from various depositional environment of Mandovi estuary revealed a marked change in the magnetic mineral composition and accumulation pattern. The magnetic mineralogy mainly comprised ferri‐ (magnetite, titanomagnetite) and antiferromagnetic (hematite, goethite) minerals. Higher accumulation of coarser magnetic particles in the catchment area followed by a systematic trend of progressive fining of magnetic grain size in the down reaches of the estuary can be attributed to the decrease in transport energy. Enhanced accumulation of coarser magnetic particles in the estuarine region can be reconciled with the strong tidal and wave‐induced bottom currents, which preferentially favored mineral‐density selective fractionation resulting in higher deposition of heavy (magnetic) particles. A clear trend of loss of fluvial‐derived fine silt‐size clastic sediments and selective retention of coarser and heavy magnetic particles within the estuary can be attributed to the hydrodynamic driven sediment partitioning regime, which inhibited the permanent settling of fine sediment fraction and are therefore frequently flushed out to the sea. A marked drop in S‐ratio in different zones of the estuary can be linked to the increased input of high coercive magnetic particles derived from pedogenic soils along eroding riverbanks. We further demonstrate that the S‐ratio is an effective parameter to track the riverbank erosion in an estuarine system.
Intense Energetic Electron Precipitation Caused by the Self‐Limiting of Space Radiation
Authors: Olifer L. , Mann I. R. , Ozeke L. G. , Walton S. D. , Breneman A. W. , Murphy K.
Published: November 2023

Understanding intense electron precipitation is crucial for characterizing radiation belt loss and assessing related impacts on the atmosphere. We investigate the evolution of electron flux during an ensemble of 70 geomagnetic storms, focusing on equatorial and low‐Earth orbit observations of trapped and precipitating ∼30–100 keV energy electrons. We reveal that the most intense electron precipitation is associated with equatorial flux capping through self‐limiting processes, for example, as described theoretically by Kennel and Petschek (1966, https://doi.org/10.1029/jz071i001p00001). Our results indicate that the most intense electron precipitation is caused by electron injections associated with self‐limiting processes. Dawn side injections are observed to have fluxes that exceed the Kennel‐Petschek limit, consistent with the excitation of strong chorus waves and resulting in intense precipitation and return of the trapped flux to the Kennel‐Petschek limit. Our results clearly demonstrate the important role of self‐limiting processes in affecting the dynamics of newly injected electrons and driving intense electron precipitation.
Identification of Penetration and Disturbance Dynamo Electric Fields and Their Effects on the Generation of Equatorial Plasma Bubbles
Authors: Huang Chao‐Song
Published: November 2023

A very challenging task in ionospheric studies is to determine the separate contributions of penetration and disturbance dynamo processes in the generation of equatorial plasma drift during magnetic storms. In this study, we analyze the ion drift measured by the Communications/Navigation Outage Forecasting System satellite during the magnetic storm on 15–16 July 2012. A unique feature of this storm is the exceptionally long period of continuous southward interplanetary magnetic field (IMF) for 32 hr. The storm‐induced net change of the meridional/vertical ion drift, the difference drift between the storm time and the quiet time, is derived during the storm main phase and the first 20 hr of the recovery phase with southward IMF. The difference drift during the recovery phase cannot be explained by the disturbance dynamo effect alone. A new method is used to separate the drifts caused by the penetration and disturbance dynamo processes. The penetration drift is represented by an empirical pattern of penetration electric field and depends on the IMF magnitude, and the disturbance dynamo drift is obtained by subtracting the penetration drift from the measured difference drift. The derived disturbance dynamo drift is in good agreement with previous statistical pattern. This is the first effort to identify the separate contributions of the penetration and disturbance dynamo processes to the total drift from observed data. The results have important implications in identifying storm‐time penetration and disturbance dynamo electric fields and their effects on the generation and evolution of plasma bubbles.
Annexin A5 derived from matrix vesicles protects against osteoporotic bone loss via mineralization
Authors: Su Guanyue , Zhang Demao , Li Tiantian , Pei Tong , Yang Jie , Tu Shasha , Liu Sijun , Ren Jie , Zhang Yaojia , Duan Mengmeng , Yang Xinrui , Shen Yang , Zhou Chenchen , Xie Jing , Liu Xiaoheng
Published: November 2023

Matrix vesicles (MVs) have shown strong effects in diseases such as vascular ectopic calcification and pathological calcified osteoarthritis and in wound repair of the skeletal system due to their membranous vesicle characteristics and abundant calcium and phosphorus content. However, the role of MVs in the progression of osteoporosis is poorly understood. Here, we report that annexin A5, an important component of the matrix vesicle membrane, plays a vital role in bone matrix homeostasis in the deterioration of osteoporosis. We first identified annexin A5 from adherent MVs but not dissociative MVs of osteoblasts and found that it could be sharply decreased in the bone matrix during the occurrence of osteoporosis based on ovariectomized mice. We then confirmed its potential in mediating the mineralization of the precursor osteoblast lineage via its initial binding with collagen type I to achieve MV adhesion and the subsequent activation of cellular autophagy. Finally, we proved its protective role in resisting bone loss by applying it to osteoporotic mice. Taken together, these data revealed the importance of annexin A5, originating from adherent MVs of osteoblasts, in bone matrix remodeling of osteoporosis and provided a new strategy for the treatment and intervention of bone loss.
CamoTSS: analysis of alternative transcription start sites for cellular phenotypes and regulatory patterns from 5' scRNA-seq data
Authors: Hou Ruiyan , Hon Chung-Chau , Huang Yuanhua
Published: November 2023

Five-prime single-cell RNA-seq (scRNA-seq) has been widely employed to profile cellular transcriptomes, however, its power of analysing transcription start sites (TSS) has not been fully utilised. Here, we present a computational method suite, CamoTSS, to precisely identify TSS and quantify its expression by leveraging the cDNA on read 1, which enables effective detection of alternative TSS usage. With various experimental data sets, we have demonstrated that CamoTSS can accurately identify TSS and the detected alternative TSS usages showed strong specificity in different biological processes, including cell types across human organs, the development of human thymus, and cancer conditions. As evidenced in nasopharyngeal cancer, alternative TSS usage can also reveal regulatory patterns including systematic TSS dysregulations.
Climate change beliefs and their correlates in Latin America
Authors: Spektor Matias , Fasolin Guilherme N. , Camargo Juliana
Published: November 2023

The ability of climate skeptics to block climate action depends on prevailing beliefs among the public. Research in advanced democracies has shown skepticism about the existence, the causes, and the consequences of climate change to be associated with socio-demographic features and political ideology. Yet, little is known about climate-related beliefs elsewhere. We address this gap by mapping beliefs in climate change and their correlates in Latin America. We show skepticism over the existence and anthropogenic origins of climate change to be limited, but identify a high number of skeptics around the severity of its consequences. Furthermore, we show skepticism to be correlated with psychological rather than socio-political factors: individualistic worldviews in particular drive disbelief in the severe consequences of climate change, a worrying finding in contexts where social trust is low. These findings offer a starting point for better addressing the constraining effects of climate skepticism in the Global South.
Improving the photovoltage of Cu2O photocathodes with dual buffer layers
Authors: Cheng Jinshui , Wu Linxiao , Luo Jingshan
Published: November 2023

Cuprous oxide (Cu2O) is a promising oxide material for photoelectrochemical water splitting (PEC), and increasing its photovoltage is the key to creating efficient overall PEC water-splitting devices. Previous reports are mostly focused on optimizing the energy band alignment between Cu2O and the n-type buffer layer to improve the photovoltage of Cu2O photocathodes. However, the band alignment between the n-type buffer layer and the protective layer is often ignored. In this work, Cu2O photocathodes with a single buffer layer (Ga2O3) and dual buffer layers (Ga2O3/ZnGeOx) are fabricated, and their PEC performances are compared. Results show that after inserting the second buffer layer (ZnGeOx), the onset potential of the Cu2O photocathode increases by 0.16 V. Operando electrochemical impedance spectroscopy measurements and analysis of the energy-level diagrams of each layer show that an energy level gradient between Ga2O3 and TiO2 is created when ZnGeOx is introduced, which eliminates the potential barrier at the interface of Ga2O3/TiO2 and improves the photovoltage of the Cu2O photocathode. Our work provides an effective approach to improve the photovoltage of photoelectrodes for solar water splitting by introducing dual buffer layers.
Cryo-EM structure of TMEM63C suggests it functions as a monomer
Authors: Qin Yuqi , Yu Daqi , Wu Dan , Dong Jiangqing , Li William Thomas , Ye Chang , Cheung Kai Chit , Zhang Yingyi , Xu Yun , Wang YongQiang , Shi Yun Stone , Dang Shangyu
Published: November 2023

The TMEM63 family proteins (A, B, and C), calcium-permeable channels in animals that are preferentially activated by hypo-osmolality, have been implicated in various physiological functions. Deficiency of these channels would cause many diseases including hearing loss. However, their structures and physiological roles are not yet well understood. In this study, we determine the cryo-electron microscopy (cryo-EM) structure of the mouse TMEM63C at 3.56 Å, and revealed structural differences compared to TMEM63A, TMEM63B, and the plant orthologues OSCAs. Further structural guided mutagenesis and calcium imaging demonstrated the important roles of the coupling of TM0 and TM6 in channel activity. Additionally, we confirm that TMEM63C exists primarily as a monomer under physiological conditions, in contrast, TMEM63B is a mix of monomer and dimer in cells, suggesting that oligomerization is a regulatory mechanism for TMEM63 proteins.
Fabrication of robust and cost-efficient Hoffmann-type MOF sensors for room temperature ammonia detection
Authors: Wang Sa , Fu Yu , Wang Ting , Liu Wansheng , Wang Jian , Zhao Peng , Ma Heping , Chen Yao , Cheng Peng , Zhang Zhenjie
Published: November 2023

The development of fast-response sensors for detecting NH3 at room temperature remains a formidable challenge. Here, to address this challenge, two highly robust Hoffmann-type metal-organic frameworks are rationally applied as the NH3 sensing materials which possess ultra-high static adsorption capacity for NH3, only lower than the current benchmark material. The adsorption mechanism is in-depth unveiled by dynamic adsorption and simulation studies. The assembled interdigital electrode device exhibits low detection limit (25 ppb) and short response time (5 s) at room temperature, which set a record among all electrical signal sensors. Moreover, the sensor exhibits excellent selectivity towards NH3 in the presence of 13 other potential interfering gases. Prominently, the sensor can stably output signals for more than two months at room temperature and can be recovered by simply purging nitrogen at room temperature without heating. This study opens up a way for reasonably designing gas sensing materials for toxic gases.
Large composite fermion effective mass at filling factor 5/2
Authors: Petrescu M. , Berkson-Korenberg Z. , Vijayakrishnan Sujatha , West K. W. , Pfeiffer L. N. , Gervais G.
Published: November 2023

The 5/2 fractional quantum Hall effect in the second Landau level of extremely clean two-dimensional electron gases has attracted much attention due to its topological order predicted to host quasiparticles that obey non-Abelian quantum statistics and could serve as a basis for fault-tolerant quantum computations. While previous works have establish the Fermi liquid (FL) nature of its putative composite fermion (CF) normal phase, little is known regarding its thermodynamics properties and as a result its effective mass is entirely unknown. Here, we report on time-resolved specific heat measurements at filling factor 5/2, and we examine the ratio of specific heat to temperature as a function of temperature. Combining these specific heat data with existing longitudinal thermopower data measuring the entropy in the clean limit we find that, unless a phase transition/crossover gives rise to large specific heat anomaly, both datasets point towards a large effective mass in the FL phase of CFs at 5/2. We estimate the effective-to-bare mass ratio m*/me to be ranging from ~ 2 to 4, which is two to three times larger than previously measured values in the first Landau level.
Metafiber transforming arbitrarily structured light
Authors: Li Chenhao , Wieduwilt Torsten , Wendisch Fedja J. , Márquez Andrés , Menezes Leonardo de S. , Maier Stefan A. , Schmidt Markus A. , Ren Haoran
Published: November 2023

Structured light has proven useful for numerous photonic applications. However, the current use of structured light in optical fiber science and technology is severely limited by mode mixing or by the lack of optical elements that can be integrated onto fiber end-faces for wavefront engineering, and hence generation of structured light is still handled outside the fiber via bulky optics in free space. We report a metafiber platform capable of creating arbitrarily structured light on the hybrid-order Poincaré sphere. Polymeric metasurfaces, with unleashed height degree of freedom and a greatly expanded 3D meta-atom library, were 3D laser nanoprinted and interfaced with polarization-maintaining single-mode fibers. Multiple metasurfaces were interfaced on the fiber end-faces, transforming the fiber output into different structured-light fields, including cylindrical vector beams, circularly polarized vortex beams, and arbitrary vector field. Our work provides a paradigm for advancing optical fiber science and technology towards fiber-integrated light shaping, which may find important applications in fiber communications, fiber lasers and sensors, endoscopic imaging, fiber lithography, and lab-on-fiber technology.
Adoptive macrophage directed photodynamic therapy of multidrug-resistant bacterial infection
Authors: Wang Zehui , Wu Anhua , Cheng Wen , Li Yuhe , Li Dingxuan , Wang Lai , Zhang Xinfu , Xiao Yi
Published: November 2023

Multidrug-resistant (MDR) bacteria cause severe clinical infections and a high mortality rate of over 40% in patients with immunodeficiencies. Therefore, more effective, broad-spectrum, and accurate treatment for severe cases of infection is urgently needed. Here, we present an adoptive transfer of macrophages loaded with a near-infrared photosensitizer (Lyso700D) in lysosomes to boost innate immunity and capture and eliminate bacteria through a photodynamic effect. In this design, the macrophages can track and capture bacteria into the lysosomes through innate immunity, thereby delivering the photosensitizer to the bacteria within a single lysosome, maximizing the photodynamic effect and minimizing the side effects. Our results demonstrate that this therapeutic strategy eliminated MDR Staphylococcus aureus (MRSA) and Acinetobacter baumannii (AB) efficiently and cured infected mice in both two models with 100% survival compared to 10% in the control groups. Promisingly, in a rat model of central nervous system bacterial infection, we performed the therapy using bone marrow-divided macrophages and implanted glass fiber to conduct light irradiation through the lumbar cistern. 100% of infected rats survived while none of the control group survived. Our work proposes an efaficient and safe strategy to cure MDR bacterial infections, which may benefit the future clinical treatment of infection.
Functional alterations of the prefrontal circuit underlying cognitive aging in mice
Authors: Chong Huee Ru , Ranjbar-Slamloo Yadollah , Ho Malcolm Zheng Hao , Ouyang Xuan , Kamigaki Tsukasa
Published: November 2023

Executive function is susceptible to aging. How aging impacts the circuit-level computations underlying executive function remains unclear. Using calcium imaging and optogenetic manipulation during memory-guided behavior, we show that working-memory coding and the relevant recurrent connectivity in the mouse medial prefrontal cortex (mPFC) are altered as early as middle age. Population activity in the young adult mPFC exhibits dissociable yet overlapping patterns between tactile and auditory modalities, enabling crossmodal memory coding concurrent with modality-dependent coding. In middle age, however, crossmodal coding remarkably diminishes while modality-dependent coding persists, and both types of coding decay in advanced age. Resting-state functional connectivity, especially among memory-coding neurons, decreases already in middle age, suggesting deteriorated recurrent circuits for memory maintenance. Optogenetic inactivation reveals that the middle-aged mPFC exhibits heightened vulnerability to perturbations. These findings elucidate functional alterations of the prefrontal circuit that unfold in middle age and deteriorate further as a hallmark of cognitive aging.
Extratropical forests increasingly at risk due to lightning fires
Authors: Janssen Thomas A. J. , Jones Matthew W. , Finney Declan , van der Werf Guido R. , van Wees Dave , Xu Wenxuan , Veraverbeke Sander
Published: November 2023

Fires can be ignited by people or by natural causes, which are almost exclusively lightning strikes. Discriminating between lightning and anthropogenic fires is paramount when estimating impacts of changing socioeconomic and climatological conditions on fire activity. Here we use reference data of fire ignition locations, cause and burned area from seven world regions in a machine-learning approach to obtain a global attribution of lightning and anthropogenic ignitions as dominant fire ignition sources. We show that 77% (uncertainty expressed as one standard deviation = 8%) of the burned area in extratropical intact forests currently stems from lightning and that these areas will probably experience 11 to 31% more lightning per degree warming. Extratropical forests are of global importance for carbon storage. They currently experience high fire-related forest losses and have, per unit area, among the largest fire emissions on Earth. Future increases in lightning in intact forest may therefore compound the positive feedback loop between climate change and extratropical wildfires.
Checkpoint kinase 2 controls insulin secretion and glucose homeostasis
Authors: Chong Angie Chi Nok , Vandana J. Jeya , Jeng Ginnie , Li Ge , Meng Zihe , Duan Xiaohua , Zhang Tuo , Qiu Yunping , Duran-Struuck Raimon , Coker Kimberly , Wang Wei , Li Yanjing , Min Zaw , Zuo Xi , de Silva Neranjan , Chen Zhengming , Naji Ali , Hao Mingming , Liu Chengyang , Chen Shuibing
Published: November 2023

After the discovery of insulin, a century ago, extensive work has been done to unravel the molecular network regulating insulin secretion. Here we performed a chemical screen and identified AZD7762, a compound that potentiates glucose-stimulated insulin secretion (GSIS) of a human β cell line, healthy and type 2 diabetic (T2D) human islets and primary cynomolgus macaque islets. In vivo studies in diabetic mouse models and cynomolgus macaques demonstrated that AZD7762 enhances GSIS and improves glucose tolerance. Furthermore, genetic manipulation confirmed that ablation of CHEK2 in human β cells results in increased insulin secretion. Consistently, high-fat-diet-fed Chk2−/− mice show elevated insulin secretion and improved glucose clearance. Finally, untargeted metabolic profiling demonstrated the key role of the CHEK2–PP2A–PLK1–G6PD–PPP pathway in insulin secretion. This study successfully identifies a previously unknown insulin secretion regulating pathway that is conserved across rodents, cynomolgus macaques and human β cells in both healthy and T2D conditions.
Pivotal avenue for hybrid electron transport layer-based perovskite solar cells with improved efficiency
Authors: Subudhi Poonam , Punetha Deepak
Published: November 2023

This study conducted a simulative analysis of different hybrid perovskite solar cells with various hybrid electron transport layers (ETL) and hole transport layers (HTL). The electron transport layer boosts durability, lowers production costs, increases stability, improves light absorption, and increases efficiency. Hybrid ETLs are taken into consideration to improve the device's performance. The selected hybrid ETLs (PCBM–SnS2, TiO2–SnO2, and PCBM–PCPB) were modeled with four hybrid perovskite absorbers (CsPbI3, FAPbI3, MAPbI3, and FAMAPbI3) and five HTLs (PEDOT: PSS, CuI, Spiro-OMeTAD, CBTS, and NiO). Three sets of solar cells are found to be the most effective configurations after investigating over sixty different combinations of perovskite solar cell architectures. The structures show CBTS as the efficient HTL for FAMAPbI3 with all three hybrid ETLs. Besides, a holistic analysis of the effect of several factors such as the defect density and thickness of the absorber layer, temperature, parasitic resistances, capacitance, Mott–Schottky, impedance, conduction band offset, and current density–voltage and quantum efficiency characteristics is performed. The results show a maximum power conversion efficiency of 25.57%, 26.35%, and 23.36% with PCBM–SnS2, TiO2–SnO2, and PCBM–PCPB respectively. Among the studied hybrid ETLs, perovskite solar cell associated with TiO2–SnO2 has depicted a superior performance (Voc = 1.12 V, Jsc = 26.88 mA/cm2, FF = 87.27%). The efficiency of the perovskite solar cell using this study has been drastically enhanced compared to the previous experimental report. The proposed strategy provides a new avenue for attaining clean energy and allows researchers to pave the way for further design optimization to obtain high-performance solar cell devices.
Multiobjective optimization framework for designing a steering system considering structural features and full vehicle dynamics
Authors: Llopis-Albert Carlos , Rubio Francisco , Devece Carlos , Zeng Shouzhen
Published: November 2023

Vehicle handling and stability performance and ride comfort is normally assessed through standard field test procedures, which are time consuming and expensive. However, the rapid development of digital technologies in the automotive industry have enabled to properly model and simulate the full-vehicle dynamics, thus drastically reducing design and manufacturing times and costs while enhancing the performance, safety, and longevity of vehicle systems. This paper focus on a computationally efficient multi-objective optimization framework for developing an optimal design of a vehicle steering system, which is carried out by coupling certain computer-aided design tools (CAD) and computer-aided engineering (CAE) software. The 3D CAD model of the steering system is made using SolidWorks, the Finite Element Analysis (FEA) is modelled using Ansys Workbench, while the multibody kinematic and dynamic is analysed using Adams/Car. They are embedded in a multidisciplinary optimization design framework (modeFrontier) with the aim of determining the optimal hardpoint locations of the suspension and steering systems. This is achieved by minimizing the Ackermann error and toe angle deviations, together with the volume, mass, and maximum stresses of the rack-and-pinion steering mechanism. This enhances the vehicle stability, safety, manoeuvrability, and passengers’ comfort, extends the vehicle systems reliability and fatigue life, while reducing the tire wear. The method has been successfully applied to different driving scenarios and vehicle maneuvers to find the optimal Pareto front and analyse the performance and behaviour of the steering system. Results show that the design of the steering system can be significantly improved using this approach.
Fast relocking and afterslip-seismicity evolution following the 2015 Mw 8.3 Illapel earthquake in Chile
Authors: Hormazábal Joaquín , Moreno Marcos , Ortega-Culaciati Francisco , Báez Juan Carlos , Peña Carlos , Sippl Christian , González-Vidal Diego , Ruiz Javier , Metzger Sabrina , Yoshioka Shoichi
Published: November 2023

Large subduction earthquakes induce complex postseismic deformation, primarily driven by afterslip and viscoelastic relaxation, in addition to interplate relocking processes. However, these signals are intricately intertwined, posing challenges in determining the timing and nature of relocking. Here, we use six years of continuous GNSS measurements (2015–2021) to study the spatiotemporal evolution of afterslip, seismicity and locking after the 2015 Illapel earthquake ($$M_w$$

M
w

8.3). Afterslip is inverted from postseismic displacements corrected for nonlinear viscoelastic relaxation modeled using a power-law rheology, and the distribution of locking is obtained from the linear trend of GNSS stations. Our results show that afterslip is mainly concentrated in two zones surrounding the region of largest coseismic slip. The accumulated afterslip (corresponding to $$M_w$$

M
w

7.8) exceeds 1.5 m, with aftershocks mainly occurring at the boundaries of the afterslip patches. Our results reveal that the region experiencing the largest coseismic slip undergoes rapid relocking, exhibiting the behavior of a persistent velocity weakening asperity, with no observed aftershocks or afterslip within this region during the observed period. The rapid relocking of this asperity may explain the almost regular recurrence time of earthquakes in this region, as similar events occurred in 1880 and 1943.
When mechanical engineering inspired from physiology improves postural-related somatosensory processes
Authors: Sutter Chloé , Fabre Marie , Massi Francesco , Blouin Jean , Mouchnino Laurence
Published: November 2023

Despite numerous studies uncovering the neural signature of tactile processing, tactile afferent inputs relating to the contact surface has not been studied so far. Foot tactile receptors being the first stimulated by the relative movement of the foot skin and the underneath moving support play an important role in the sensorimotor transformation giving rise to a postural reaction. A biomimetic surface, i.e., complying with the skin dermatoglyphs and tactile receptors characteristics should facilitate the cortical processes. Participants (n = 15) stood either on a biomimetic surface or on two control surfaces, when a sudden acceleration of the supporting surface was triggered (experiment1).A larger intensity and shorter somatosensory response (i.e., SEP) was evoked by the biomimetic surface motion. This result and the associated decrease of theta activity (5–7 Hz) over the posterior parietal cortex suggest that increasing the amount of sensory input processing could make the balance task less challenging when standing on a biomimetic surface. This key point was confirmed by asecond experiment(n = 21) where a cognitive task was added, hence decreasing the attentional resources devoted to the balance motor task. Greater efficiency of the postural reaction was observed while standing on the biomimetic than on the control surfaces.
Synthesis, X-ray crystallography and antimicrobial activity of 2-cyanoguanidinophenytoin
Authors: Mabied Ahmed F. , Moustafa Amr H. , Abdelhamid Antar A. , Tiama Taha M. , Amer Amer A.
Published: November 2023

The optimized synthesis of [5-oxo-4,4-diphenylimidazolidin-2-ylidene]cyanamide, which is known as 2-cyanoguanidinophenytoin (CNG-DPH) (3), and (imidazo[4,5-d]imidazole-2,5-diylidine)dicyanamide (4) has been reported in the present work. Furthermore, new Mannich bases derived from CNG-DPH were synthesized via its reaction with formaldehyde and using the corresponding amines, piperidine (base 5), and morpholine (base 6). Also, the antimicrobial activity and X-ray crystal structures for CNG-DPH and their Mannich bases were studied. The bases 3 and 6 crystallized in a monoclinic system; the crystal structure of 3 containing four molecules in the unit cell with a P21/c space group. The unit cell of 6 has eight molecules with a C2/c space group. The inter and intra hydrogen bond contacts packed and stabilized both of the structures. The morpholine ring of base 6 demonstrated a distinctive chair configuration. Mannich bases 5 and 6 showed promising antimicrobial effects. base 4 has a greater percentage for in vitro cytotoxicity (IC50) against normal cells, whereas 3 has the lowest ratio.
Towards a practical use of text mining approaches in electrodiagnostic data
Authors: Ramon-Gonen Roni , Dori Amir , Shelly Shahar
Published: November 2023

Healthcare professionals produce abounding textual data in their daily clinical practice. Text mining can yield valuable insights from unstructured data. Extracting insights from multiple information sources is a major challenge in computational medicine. In this study, our objective was to illustrate how combining text mining techniques with statistical methodologies can yield new insights and contribute to the development of neurological and neuromuscular-related health information. We demonstrate how to utilize and derive knowledge from medical text, identify patient groups with similar diagnostic attributes, and examine differences between groups using demographical data and past medical history (PMH). We conducted a retrospective study for all patients who underwent electrodiagnostic (EDX) evaluation in Israel's Sheba Medical Center between May 2016 and February 2022. The data extracted for each patient included demographic data, test results, and unstructured summary reports. We conducted several analyses, including topic modeling that targeted clinical impressions and topic analysis to reveal age- and sex-related differences. The use of suspected clinical condition text enriched the data and generated additional attributes used to find associations between patients' PMH and the emerging diagnosis topics. We identified 6096 abnormal EMG results, of which 58% (n = 3512) were males. Based on the latent Dirichlet allocation algorithm we identified 25 topics that represent different diagnoses. Sex-related differences emerged in 7 topics, 3 male-associated and 4 female-associated. Brachial plexopathy, myasthenia gravis, and NMJ Disorders showed statistically significant age and sex differences. We extracted keywords related to past medical history (n = 37) and tested them for association with the different topics. Several topics revealed a close association with past medical history, for example, length-dependent symmetric axonal polyneuropathy with diabetes mellitus (DM), length-dependent sensory polyneuropathy with chemotherapy treatments and DM, brachial plexopathy with motor vehicle accidents, myasthenia gravis and NMJ disorders with botulin treatments, and amyotrophic lateral sclerosis with swallowing difficulty. Summarizing visualizations were created to easily grasp the results and facilitate focusing on the main insights. In this study, we demonstrate the efficacy of utilizing advanced computational methods in a corpus of textual data to accelerate clinical research. Additionally, using these methods allows for generating clinical insights, which may aid in the development of a decision-making process in real-life clinical practice.
Cybersecurity vulnerability analysis of medical devices purchased by national health services
Authors: Bracciale Lorenzo , Loreti Pierpaolo , Bianchi Giuseppe
Published: November 2023

The growing integration of software within medical devices introduces the potential for cybersecurity threats. How significant is this risk, and to what extent are citizens currently exposed? In this study, we adopt a new data-gathering methodology using datasets provided in Open Contracting Data Standard (OCDS). This allowed us to perform an extensive analysis across over 36 countries within a 12-year range, searching 92 million public administration purchase records for potentially vulnerable medical devices. The findings reveal a concerning landscape wherein numerous medical devices purchased by national health services possessed or still possess 661 distinct vulnerabilities—more than half of which are deemed critical or high-severity. These vulnerabilities enable relatively simple attacks to impact data confidentiality, integrity, and accessibility severely. Even if patches were applied immediately upon discovery, these vulnerabilities would still result in roughly 3.2 years of system exposure from the time a device is purchased until a software vulnerability is announced, with all classes of devices affected, including high-risk IIB and III devices which accounts for 74% of instances. While a full analysis requires interactivity, this noninvasive methodology enables a large-scale study, emphasizing the need to move faster from the safety to the security of medical devices.
Genetic landscape and PD-L1 expression in Epstein–Barr virus-associated gastric cancer according to the histological pattern
Authors: Park Ji Hyun , Cho Hee Jin , Seo Jeonghwa , Park Ki Bum , Kwon Yong Hwan , Bae Han Ik , Seo An Na , Kim Moonsik
Published: November 2023

Epstein–Barr virus (EBV)-associated gastric cancer (EBVaGC) is a distinct molecular subtype of gastric cancer. This study aims to investigate genomic and clinicopathological characteristics of EBVaGC according to the histological pattern. We retrospectively collected 18 specimens of surgically resected EBVaGCs. Whole-exome sequencing was performed for all cases. Moreover, PD-L1 expression and tumor-infiltrating lymphocyte (TIL) percentage were investigated. Among 18 EBVaGCs, 10 cases were of intestinal histology, 3 were of poorly cohesive histology, and the remaining 5 were of gastric carcinoma with lymphoid stroma histology. Whole-exome sequencing revealed that EBVaGCs with intestinal histology harbored pathogenic mutations known to frequently occur in tubular or papillary adenocarcinoma, including TP53, KRAS, FBXW7, MUC6, ERBB2, CTNNB1, and ERBB2 amplifications. One patient with poorly cohesive carcinoma histology harbored a CDH1 mutation. Patients with EBVaGCs with intestinal or poorly cohesive carcinoma histology frequently harbored driver mutations other than PIK3CA, whereas those with EBVaGCs with gastric carcinoma with lymphoid stroma histology lacked other driver mutations. Moreover, the histological pattern of EBVaGCs was significantly associated with the levels of TILs (P = 0.005) and combined positive score (P = 0.027). In conclusion, patients with EBVaGCs with different histological patterns exhibited distinct genetic alteration, PD-L1 expression, and degree of TILs.
Performance comparison of Gilbert’s algorithm and machine learning in classifying Bell-diagonal two-qutrit entanglement
Authors: Wieśniak Marcin
Published: November 2023

While classifying states as entangled or separable is one of the fundamental tasks in quantum information theory, it is also extremely challenging. This task is highly nontrivial even for relatively simple cases, such as two-qutrit Bell-diagonal states, i.e., mixtures of nine mutually orthogonal maximally entangled states. In this article we apply Gilbert’s algorithm to revise previously obtained results for this class. In particular we use “entanglement cartography” to argue that most states left in [Hiesmayr, B. C. Scientific Reports 11, 19739 (2021)] as unknown to be entangled or separable are most likely indeed separable, or very weakly entangled, beyond any practical relevance. The presented technique can find endless applications in more general cases.
Improving the classification of veterinary thoracic radiographs through inter-species and inter-pathology self-supervised pre-training of deep learning models
Authors: Celniak Weronika , Wodziński Marek , Jurgas Artur , Burti Silvia , Zotti Alessandro , Atzori Manfredo , Müller Henning , Banzato Tommaso
Published: November 2023

The analysis of veterinary radiographic imaging data is an essential step in the diagnosis of many thoracic lesions. Given the limited time that physicians can devote to a single patient, it would be valuable to implement an automated system to help clinicians make faster but still accurate diagnoses. Currently, most of such systems are based on supervised deep learning approaches. However, the problem with these solutions is that they need a large database of labeled data. Access to such data is often limited, as it requires a great investment of both time and money. Therefore, in this work we present a solution that allows higher classification scores to be obtained using knowledge transfer from inter-species and inter-pathology self-supervised learning methods. Before training the network for classification, pretraining of the model was performed using self-supervised learning approaches on publicly available unlabeled radiographic data of human and dog images, which allowed substantially increasing the number of images for this phase. The self-supervised learning approaches included the Beta Variational Autoencoder, the Soft-Introspective Variational Autoencoder, and a Simple Framework for Contrastive Learning of Visual Representations. After the initial pretraining, fine-tuning was performed for the collected veterinary dataset using 20% of the available data. Next, a latent space exploration was performed for each model after which the encoding part of the model was fine-tuned again, this time in a supervised manner for classification. Simple Framework for Contrastive Learning of Visual Representations proved to be the most beneficial pretraining method. Therefore, it was for this method that experiments with various fine-tuning methods were carried out. We achieved a mean ROC AUC score of 0.77 and 0.66, respectively, for the laterolateral and dorsoventral projection datasets. The results show significant improvement compared to using the model without any pretraining approach.
Evaluation of a new point-of-care diagnostic test measuring inflammation in emergency settings
Authors: Charansonney Olivier L. , Al-Dandachi Ghanima , Plaisance Patrick , Vicaut Eric
Published: November 2023

Erythrocyte aggregation kinetics is accelerated in diseases with a strong inflammation component. This study aimed to evaluate whether, in an emergency setting, a new point-of-care test measuring erythrocyte aggregation kinetics (EAK) can identify patients with underlying inflammation. Patients visiting an emergency department and needing a blood exam were successively included. EAK was measured at the point-of-care in 20 s directly on the blood samples collected in regular tubes without any manipulation. The primary measure was EAK’s half-life during the first 5 s (EAK5s). Each patient’s inflammation status was assessed blind to the EAK test results. Receiver Operating Characteristic (ROC) curves for inflammation status were built. 268 patients had their EAK5s measured, and a clear inflammation status was determined for 214 patients (65 had inflammation). Mean EAK5s were 2.18 s and 1.75 s for no inflammation and inflammation groups respectively (p < 0.001). EAK5s appears to be a better inflammation marker than C-Reactive protein (CRP), with an area under the ROC curve of 0.845 compared to 0.806 for CRP (p < 0.0001). The Youden threshold for prediction of inflammation was 1.86 s with 84.6% (78.5–89.9%) specificity and 70.8% (60–81.5%) sensitivity. Point-of-care EAK is an easily measured, immediately available marker of inflammation with a better predictive power than CRP’s.
Investigating how nitrogen nutrition and pruning impacts on CBD and THC concentration and plant biomass of Cannabis sativa
Authors: Dilena Enrico , Close Dugald C. , Hunt Ian , Garland Sandra M.
Published: November 2023

Precise crop fertilization requires an in-depth understanding of plant uptake and utilisation to optimise sustainable production. This study investigated the influence of nitrogen (N) nutrition and pruning on the cannabinoid concentrations and biomass of a commercial cannabis cultivar; the rationale for this study is how N supply and pruning affect cannabinoid yields and concentration in a commercial setting. Clones of a Cannabis sativa L. (CBD-type) were grown in a controlled-environment glasshouse in pots with coarse sand. After five weeks of vegetative growth under 210 mg/L N and an 18 h light regime, rates of 30, 60, 210, and 500 mg/L N were applied to plants for twelve weeks and a light regime set at 12 h. Double stem pruning was applied as an additional treatment to investigate efficacy on biomass increase. Biomass, N concentrations, and cannabinoid concentrations were measured after the final harvest. Pruning treatment did not increase cannabinoid concentrations or affect biomass. It was coincidentally found that plants on the glasshouse edge with higher exposure to sunlight developed more biomass and higher cannabinoid concentrations. Only biomass in leaves was increased significantly via higher nitrogen nutrition. Cannabinoid concentration, as well as cannabinoid yield per plant were decreased with the increase in N supply. High rates of fertilizer are not recommended because of reduced cannabinoid concentration and biomass yield: the ideal N supply is likely to be between 60 and 210 mg/L. This research will benefit growers and advisors in understanding the complexity of effects of nitrogen fertiliser and pruning practices on plant biomass and secondary metabolite production in medicinal cannabis.