bluuebunny/crossref_metadata_2025 huggingface dataset:
Fit for Service: Preparing Residents for Neurointensive Care with Entrustable Professional Activities: A Delphi Study
Authors: Schmidbauer Moritz L. , Pinilla Severin , Kunst Stefan , Biesalski Anne-Sophie , Bösel Julian , Niesen Wolf-Dirk , Schramm Patrick , Wartenberg Katja , Dimitriadis Konstantinos ,   the IGNITE study group
Published: July 2023

Background

Although the relevance of neurointensive medicine and high-quality training of corresponding physicians is increasingly recognized, there is high heterogeneity in the nature, duration, and quality of neurointensive care curricula around the world. Thus, we aimed to identify, define, and establish validity evidence for entrustable professional activities (EPAs) for postgraduate training in neurointensive care to determine trainees’ readiness for being on-call.

Methods

After defining EPAs through an iterative process by an expert group, we used a modified Delphi approach with a single-center development process followed by a national consensus and a single-center validation step. EPAs were evaluated by using the EQual rubric (Queen’s EPA Quality Rubric). Interrater reliability was measured with Krippendorff’s α.

Results

The expert group defined seven preliminary EPAs for neurointensive care. In two consecutive Delphi rounds, EPAs were adapted, and consensus was reached for level of entrustment and time of expiration. Ultimately, EPAs reached a high EQual score of 4.5 of 5 and above. Interrater reliability for the EQual scoring was 0.8.

Conclusions

Using a multistep Delphi process, we defined and established validity evidence for seven EPAs for neurointensive medicine with a high degree of consensus to objectively describe readiness for on-call duty in neurointensive care. This operationalization of pivotal clinical tasks may help to better train clinical residents in neurointensive care across sites and health care systems and has the potential to serve as a blueprint for training in general intensive care medicine. It also represents a starting point for further research and development of medical curricula.
Postnatal Depression and Homelessness in Women Living in High-Income Countries: A Scoping Review
Authors: Kelly Laura , Martin-Kerry Jackie , Prady Stephanie
Published: July 2023

Postnatal depression (PND) is estimated to affect approximately 17% of mothers, and if left untreated can have negative health consequences, not only for the mother but for the family unit. Homelessness is a multifaceted concept which also has negative health consequences and is often termed a stressful life event. Exploring the literature which links these two factors may promote the implementation of policies which work to address both these health issues. The aim of this scoping review was to determine the breadth and nature of the literature investigating the quantitative relationship between PND and homelessness in women living in high-income countries. Comprehensive searches were performed in June 2020 in MEDLINE, PsychInfo, Embase, Social Policy and Practice and Applied Social Sciences Index and Abstracts. Grey literature was also searched, including unpublished studies, dissertations, conference proceedings and reports by the UK charities. Twelve studies met the eligibility criteria. There are few well-controlled longitudinal studies and a high level of variability between studies in terms of the definitions used for homelessness and in the screening tools to detect PND symptoms. Future research would benefit from undertaking waves of prospective data collection, using a well-defined concept of homelessness and implementing validated tools for measuring PND.
Experimental evidence shows that ulterior motive attribution drives counter-punishment
Authors: Muñoz-Herrera Manuel , Nikiforakis Nikos
Published: July 2023

Evidence shows that the willingness of individuals to avenge punishment inflicted upon them for transgressions they committed constitutes a significant obstacle toward upholding social norms and cooperation. The drivers of this behavior, however, are not well understood. We hypothesize that ulterior motive attribution—the tendency to assign ulterior motives to punishers for their actions—increases the likelihood of counter-punishment. We exogenously manipulate the ability to attribute ulterior motives to punishers by having the punisher be either an unaffected third party or a second party who, as the victim of a transgression, may be driven to punish by a desire to take revenge. We show that survey respondents consider second-party punishment to be substantially more likely to be driven by ulterior motives than an identical, payoff-equalizing punishment meted out by a third party. In line with our hypothesis, we find that second-party punishment is 66.3% more likely to trigger counter-punishment than third-party punishment in a lab experiment. The loss in earnings due to counter-punishment is 64.6% higher for second-party punishers than third-party punishers, all else equal.
Physics and Engineering of Graded-Index Media
Authors: Agrawal Govind P.
Published: July 2023

Optical materials with varying refractive indices are called graded-index (GRIN) media and they are widely used within many industries, including telecommunications and medical imaging. Another recent application is space division multiplexing, an enormously improved technique for optical data transmission. This book synthesises recent research developments in this growing field, presenting both the underlying physical principles behind optical propagation in GRIN media, and the most important engineering applications. The principles of wave optics are employed for solving Maxwell's equations inside a GRIN medium, ensuring that diffractive effects are fully included. The mathematical development builds gradually and a variety of exact and approximate techniques for solving practical problems are included, in addition to coverage of modern topics such as optical vortices, photonic spin-orbit coupling, photonic crystals, and metamaterials. This text will be useful for graduate students and researchers working in optics, photonics and optical communications.
Inverse Problems and Data Assimilation
Authors: Sanz-Alonso Daniel , Stuart Andrew , Taeb Armeen
Published: July 2023

This concise introduction provides an entry point to the world of inverse problems and data assimilation for advanced undergraduates and beginning graduate students in the mathematical sciences. It will also appeal to researchers in science and engineering who are interested in the systematic underpinnings of methodologies widely used in their disciplines. The authors examine inverse problems and data assimilation in turn, before exploring the use of data assimilation methods to solve generic inverse problems by introducing an artificial algorithmic time. Topics covered include maximum a posteriori estimation, (stochastic) gradient descent, variational Bayes, Monte Carlo, importance sampling and Markov chain Monte Carlo for inverse problems; and 3DVAR, 4DVAR, extended and ensemble Kalman filters, and particle filters for data assimilation. The book contains a wealth of examples and exercises, and can be used to accompany courses as well as for self-study.
Stress measurements in the weak layer during snow stability tests
Authors: Griesser Silke , Pielmeier Christine , Boutera Toft Håvard , Reiweger Ingrid
Published: July 2023

The snow compression test is a snow stability test where an isolated column of snow is progressively loaded by tapping on it to induce failure in a possible weak layer. The test result provides valuable information about the propensity of failure initiation within the snowpack. However, different persons might tap with different force and thus reduce the reproducibility of the test results. The aim of this work was to quantify the influence of different test persons and different snowpacks on snow compression test results. We therefore let 62 persons tap on a stress measurement plate during a workshop of the European Avalanche Warning Services. Moreover, in the field, we performed stress measurements during 116 snow compression tests with 13 persons at eight different locations in the Alps. Data on persons’ body features and snow properties were also collected. Our results show that the stresses that reach a weak snow layer due to tapping are influenced by both the snowpack as well as different persons. Still, the data's scattering is surprisingly small for lower loading steps and decreases with depth. Therefore, we can deduce that, especially when avalanche conditions are particularly dangerous, snow compression test results are quite reproducible.
Complex multiplication and Noether–Lefschetz loci of the twistor space of a K3 surface
Authors: VIGANÒ FRANCESCO
Published: July 2023

For an algebraic K3 surface with complex multiplication (CM), algebraic fibres of the associated twistor space away from the equator are again of CM type. In this paper, we show that algebraic fibres corresponding to points at the same altitude of the twistor base
${S^2} \simeq \mathbb{P}_\mathbb{C}^1$
share the same CM endomorphism field. Moreover, we determine all the admissible Picard numbers of the twistor fibres.
Artisans’ chase for urban space. Clusters of construction entrepreneurs in Brussels, c. 1830–1930
Authors: Degraeve Matthijs , Deneweth Heidi , Van de Voorde Stephanie
Published: July 2023

In contrast to the well-studied shopkeepers, little empirical evidence exists on the locational patterns of artisans in transforming urban spaces. By GIS mapping a dataset on Brussels construction entrepreneurs (c. 1830–1930), long-term changes in their patterns of spatial clustering and dispersal become clear, showing which urban areas provided advantageous conditions for artisans to thrive, but also how and when these conditions subsided. While confirming earlier observations of a broad scattering of artisans throughout the city, the analysis also shows how remarkable clusters emerged in cheap, densely built, both central and suburban neighbourhoods. The importance of clustering decreased over time, however. Confronting locational patterns with their potential underlying causes shows that planning policies for the renewal of urban infrastructure and the resulting dynamics on the real estate market acted as the first drivers of urban de-industrialization, affecting the displacement of artisans from inner cities since at least the late nineteenth century.
Seeing the Disturbed Forest for the Trees: Remote Sensing Is Underutilized to Quantify Critical Zone Response to Unprecedented Disturbance
Authors: Hwang Kyotaek , Harpold Adrian A. , Tague Christina L. , Lowman Lauren , Boisramé Gabrielle F. S. , Lininger Katherine B. , Sullivan Pamela L. , Manning Aidan , Graup Louis , Litvak Marcy , Lewis Gabriel , Miller Kate , Brooks Paul D. , Barnard Holly R.
Published: July 2023

Understanding the severity and extent of near surface critical zone (CZ) disturbances and their ecosystem response is a pressing concern in the face of increasing human and natural disturbances. Predicting disturbance severity and recovery in a changing climate requires comprehensive understanding of ecosystem feedbacks among vegetation and the surrounding environment, including climate, hydrology, geomorphology, and biogeochemistry. Field surveys and satellite remote sensing have limited ability to effectively capture the spatial and temporal variability of disturbance and CZ properties. Technological advances in remote sensing using new sensors and new platforms have improved observations of changes in vegetation canopy structure and productivity; however, integrating measures of forest disturbance from various sensing platforms is complex. By connecting the potential for remote sensing technologies to observe different CZ disturbance vectors, we show that lower severity disturbance and slower vegetation recovery are more difficult to quantify. Case studies in montane forests from the western United States highlight new opportunities, including evaluating post‐disturbance forest recovery at multiple scales, shedding light on understory vegetation regrowth, detecting specific physiological responses, and refining ecohydrological modeling. Learning from regional CZ disturbance case studies, we propose future directions to synthesize fragmented findings with (a) new data analysis using new or existing sensors, (b) data fusion across multiple sensors and platforms, (c) increasing the value of ground‐based observations, (d) disturbance modeling, and (e) synthesis to improve understanding of disturbance.
Effects of Global Geomagnetic Field Variations Over the Past 100,000 Years on Cosmogenic Radionuclide Production Rates in the Earth's Atmosphere
Authors: Panovska Sanja , Poluianov Stepan , Gao Jiawei , Korte Monika , Mishev Alexander , Shprits Yuri Y. , Usoskin Ilya
Published: July 2023

The production rates of cosmogenic radionuclides, such as 10Be, 14C, and 36Cl, in the Earth's atmosphere vary with the geomagnetic field and solar activity. For the first time, the production rates of several cosmogenic nuclides are estimated for the past 100 ka based on global, time‐dependent geomagnetic field models and a moderate solar‐activity level. In particular, the production rates were high with no notable latitudinal dependence during the Laschamps geomagnetic excursion (41 ka BP). The mean global production of 10Be over the Laschamps excursion was more than two times greater than the present‐day one, whereas the increase was 1.9 times for the Norwegian‐Greenland Sea excursion (∼65 ka), and only 1.3 times for the Mono Lake/Auckland excursion (∼34 ka). All analyzed geomagnetic field models covering the past 100 ka, including the modern and Holocene epochs, lead to hemispheric asymmetry in the production rates, persistent overall time ranges, and reflected in the time‐averaged nuclide production rates. Production rates predicted by the geomagnetic field models are in good agreement with actual measurements from ice cores and sediment records. These global, long‐term production rates are important for a wide range of studies that employ cosmogenic nuclides as a proxy/tracer of different Earth system processes.
Active Layer Thickness and Permafrost Area Projections for the 21st Century
Authors: Peng Xiaoqing , Zhang Tingjun , Frauenfeld Oliver W. , Mu Cuicui , Wang Kang , Wu Xiaodong , Guo Donglin , Luo Jing , Hjort Jan , Aalto Juha , Karjalainen Olli , Luoto Miska
Published: July 2023

Permafrost warming leads to greenhouse gas release to the atmosphere, resulting in a positive feedback to climate change. Earth system models indicate that more than 80% of the near‐surface permafrost is projected to disappear by the end of this century, but with a high degree of uncertainty. Here, we apply the Stefan solution to estimate permafrost degradation under future emission scenarios. We find that the most severe future scenario is likely to lead to only a 14% decrease in area extent of the near‐surface permafrost at 3.5 m depth, and an area extent decrease of 1.3% at a depth of 6.0 m. Relative to active layer thickness increases from historical simulations, we find a less than 30% deepening for most permafrost regions by the end of this century. These results imply that the Stefan solution provides near‐surface permafrost area extent degradation estimates that are substantially lower than directly projected by models.
Freshwater Contributions to Decadal Variability of the Indonesian Throughflow
Authors: Wang Shouyi , Ummenhofer Caroline C. , Oppo Delia W. , Murty Sujata A. , Wagner Patrick , Böning Claus W. , Biastoch Arne
Published: July 2023

The Makassar Strait, the main passageway of the Indonesian Throughflow (ITF), is an important component of Indo‐Pacific climate through its inter‐basin redistribution of heat and freshwater. Observational studies suggest that wind‐driven freshwater advection from the marginal seas into the Makassar Strait modulates the strait's surface transport. However, direct observations are too short (<15 years) to resolve variability on decadal timescales. Here we use a series of global ocean simulations to assess the advected freshwater contributions to ITF transport across a range of timescales. The simulated seasonal and interannual freshwater dynamics are consistent with previous studies. On decadal timescales, we find that wind‐driven advection of South China Sea (SCS) waters into the Makassar Strait modulates upper‐ocean ITF transport. Atmospheric circulation changes associated with Pacific decadal variability appear to drive this mechanism via Pacific lower‐latitude western boundary current interactions that affect the SCS circulation.
Research progress on endoplasmic reticulum homeostasis in kidney diseases
Authors: Wu Dan , Huang Li-Feng , Chen Xiao-Cui , Huang Xiao-Rong , Li Hui-Yuan , AN Ning , Tang Ji-Xin , Liu Hua-Feng , Yang Chen
Published: July 2023

The endoplasmic reticulum (ER) plays important roles in biosynthetic and metabolic processes, including protein and lipid synthesis, Ca2+ homeostasis regulation, and subcellular organelle crosstalk. Dysregulation of ER homeostasis can cause toxic protein accumulation, lipid accumulation, and Ca2+ homeostasis disturbance, leading to cell injury and even death. Accumulating evidence indicates that the dysregulation of ER homeostasis promotes the onset and progression of kidney diseases. However, maintaining ER homeostasis through unfolded protein response, ER-associated protein degradation, autophagy or ER-phagy, and crosstalk with other organelles may be potential therapeutic strategies for kidney disorders. In this review, we summarize the recent research progress on the relationship and molecular mechanisms of ER dysfunction in kidney pathologies. In addition, the endogenous protective strategies for ER homeostasis and their potential application for kidney diseases have been discussed.
Pyroptosis in renal inflammation and fibrosis: current knowledge and clinical significance
Authors: Liu Ya , Lei Haibo , Zhang Wenyou , Xing Qichang , Liu Renzhu , Wu Shiwei , Liu Zheng , Yan Qingzi , Li Wencan , Liu Xiang , Hu Yixiang
Published: July 2023

Pyroptosis is a novel inflammatory form of regulated cell death (RCD), characterized by cell swelling, membrane rupture, and pro-inflammatory effects. It is recognized as a potent inflammatory response required for maintaining organismal homeostasis. However, excessive and persistent pyroptosis contributes to severe inflammatory responses and accelerates the progression of numerous inflammation-related disorders. In pyroptosis, activated inflammasomes cleave gasdermins (GSDMs) and generate membrane holes, releasing interleukin (IL)-1β/18, ultimately causing pyroptotic cell death. Mechanistically, pyroptosis is categorized into caspase-1-mediated classical pyroptotic pathway and caspase-4/5/11-mediated non-classical pyroptotic pathway. Renal fibrosis is a kidney disease characterized by the loss of structural and functional units, the proliferation of fibroblasts and myofibroblasts, and extracellular matrix (ECM) accumulation, which leads to interstitial fibrosis of the kidney tubules. Histologically, renal fibrosis is the terminal stage of chronic inflammatory kidney disease. Although there is a multitude of newly discovered information regarding pyroptosis, the regulatory roles of pyroptosis involved in renal fibrosis still need to be fully comprehended, and how to improve clinical outcomes remains obscure. Hence, this review systematically summarizes the novel findings regarding the role of pyroptosis in the pathogenesis of renal fibrosis and discusses potential biomarkers and drugs for anti-fibrotic therapeutic strategies.
Dynamic spatial coding in parietal cortex mediates tactile-motor transformation
Authors: Klautke Janina , Foster Celia , Medendorp W. Pieter , Heed Tobias
Published: July 2023

Movements towards touch on the body require integrating tactile location and body posture information. Tactile processing and movement planning both rely on posterior parietal cortex (PPC) but their interplay is not understood. Here, human participants received tactile stimuli on their crossed and uncrossed feet, dissociating stimulus location relative to anatomy versus external space. Participants pointed to the touch or the equivalent location on the other foot, which dissociates sensory and motor locations. Multi-voxel pattern analysis of concurrently recorded fMRI signals revealed that tactile location was coded anatomically in anterior PPC but spatially in posterior PPC during sensory processing. After movement instructions were specified, PPC exclusively represented the movement goal in space, in regions associated with visuo-motor planning and with regional overlap for sensory, rule-related, and movement coding. Thus, PPC flexibly updates its spatial codes to accommodate rule-based transformation of sensory input to generate movement to environment and own body alike.
Cellular state landscape and herpes simplex virus type 1 infection progression are connected
Authors: Pietilä Maija K. , Bachmann Jana J. , Ravantti Janne , Pelkmans Lucas , Fraefel Cornel
Published: July 2023

Prediction, prevention and treatment of virus infections require understanding of cell-to-cell variability that leads to heterogenous disease outcomes, but the source of this heterogeneity has yet to be clarified. To study the multimodal response of single human cells to herpes simplex virus type 1 (HSV-1) infection, we mapped high-dimensional viral and cellular state spaces throughout the infection using multiplexed imaging and quantitative single-cell measurements of viral and cellular mRNAs and proteins. Here we show that the high-dimensional cellular state scape can predict heterogenous infections, and cells move through the cellular state landscape according to infection progression. Spatial information reveals that infection changes the cellular state of both infected cells and of their neighbors. The multiplexed imaging of HSV-1-induced cellular modifications links infection progression to changes in signaling responses, transcriptional activity, and processing bodies. Our data show that multiplexed quantification of responses at the single-cell level, across thousands of cells helps predict infections and identify new targets for antivirals.
Tuning the zeolite acidity enables selectivity control by suppressing ketene formation in lignin catalytic pyrolysis
Authors: Pan Zeyou , Puente-Urbina Allen , Batool Syeda Rabia , Bodi Andras , Wu Xiangkun , Zhang Zihao , van Bokhoven Jeroen A. , Hemberger Patrick
Published: July 2023

Unveiling catalytic mechanisms at a molecular level aids rational catalyst design and selectivity control for process optimization. In this study, we find that the Brønsted acid site density of the zeolite catalyst efficiently controls the guaiacol catalytic pyrolysis mechanism. Guaiacol demethylation to catechol initiates the reaction, as evidenced by the detected methyl radicals. The mechanism branches to form either fulvenone (c-C5H4 = C = O), a reactive ketene intermediate, by catechol dehydration, or phenol by acid-catalyzed dehydroxylation. At high Brønsted acid site density, fulvenone formation is inhibited due to surface coordination configuration of its precursor, catechol. By quantifying reactive intermediates and products utilizing operando photoelectron photoion coincidence spectroscopy, we find evidence that ketene suppression is responsible for the fivefold phenol selectivity increase. Complementary fulvenone reaction pathway calculations, along with 29Si NMR-MAS spectroscopy results corroborate the mechanism. The proposed, flexible operando approach is applicable to a broad variety of heterogeneous catalytic reactions.
Absorption-induced transmission in plasma microphotonics
Authors: Bathish Baheej , Gad Raanan , Cheng Fan , Karlsson Kristoffer , Madugani Ramgopal , Douvidzon Mark , Chormaic Síle Nic , Carmon Tal
Published: July 2023

Ionised gas, i.e., plasma, is a medium where electrons-ions dynamics are electrically and magnetically altered. Electric and magnetic fields can modify plasma’s optical loss, refraction, and gain. Still, plasma’s low pressure and large electrical fields have presented as challenges to introducing it to micro-cavities. Here we demonstrate optical microresonators, with walls thinner than an optical wavelength, that contain plasma inside them. By having an optical mode partially overlapping with plasma, we demonstrate resonantly enhanced light-plasma interactions. In detail, we measure plasma refraction going below one and plasma absorption that turns the resonator transparent. Furthermore, we photograph the plasma’s micro-striations, with 35 μm wavelength, indicating magnetic fields interacting with plasma. The synergy between micro-photonics and plasma might transform micro-cavities, and electro-optical interconnects by adding additional knobs for electro-optically controlling light using currents, electric-, and magnetic-fields. Plasma might impact microphotonics by enabling new types of microlasers and electro-optical devices.
Multifactor transcriptional control of alternative oxidase induction integrates diverse environmental inputs to enable fungal virulence
Authors: Liu Zhongle , Basso Pauline , Hossain Saif , Liston Sean D. , Robbins Nicole , Whitesell Luke , Noble Suzanne M. , Cowen Leah E.
Published: July 2023

Metabolic flexibility enables fungi to invade challenging host environments. In Candida albicans, a common cause of life-threatening infections in humans, an important contributor to flexibility is alternative oxidase (Aox) activity. Dramatic induction of this activity occurs under respiratory-stress conditions, which impair the classical electron transport chain (ETC). Here, we show that deletion of the inducible AOX2 gene cripples C. albicans virulence in mice by increasing immune recognition. To investigate further, we examined transcriptional regulation of AOX2 in molecular detail under host-relevant, ETC-inhibitory conditions. We found that multiple transcription factors, including Rtg1/Rtg3, Cwt1/Zcf11, and Zcf2, bind and regulate the AOX2 promoter, conferring thousand-fold levels of inducibility to AOX2 in response to distinct environmental stressors. Further dissection of this complex promoter revealed how integration of stimuli ranging from reactive species of oxygen, nitrogen, and sulfur to reduced copper availability is achieved at the transcriptional level to regulate AOX2 induction and enable pathogenesis.
Segmentation metric misinterpretations in bioimage analysis
Authors: Hirling Dominik , Tasnadi Ervin , Caicedo Juan , Caroprese Maria V. , Sjögren Rickard , Aubreville Marc , Koos Krisztian , Horvath Peter
Published: July 2023

Quantitative evaluation of image segmentation algorithms is crucial in the field of bioimage analysis. The most common assessment scores, however, are often misinterpreted and multiple definitions coexist with the same name. Here we present the ambiguities of evaluation metrics for segmentation algorithms and show how these misinterpretations can alter leaderboards of influential competitions. We also propose guidelines for how the currently existing problems could be tackled.
Application of telemedicine system on the management of general patient in quarantine
Authors: Lu Jiafa , Wang Xin , Zeng Xiaolin , Zhong Wanjing , Han Wei
Published: July 2023

To limit the epidemic of COVID-19, most countries and regions have adopted the policy of quarantine, providing an opportunity for the development of telemedicine. This study aims to develop a telemedicine system within a quarantined district and validate its effectiveness and safety in managing a variety of diseases within the population. Appling the private network and specialized set, telemedicine system and service process were constructed in the quarantine district. Based on the patients’ conditions, the staffs supplied kinds of medical service for the patients in the quarantine district. The basic characteristics and results of patients in the quarantine area who used telemedicine system during January to September 2022 were statistically analyzed. Within this period, 2410 cases were included in this study, among which, 1803 patients directly saw a doctor by the Internet hospital in the Internet hospital of telemedicine system, 607 patients used telemedicine system, 166 patients achieved referral to a specific hospital via telemedicine system, and 162 cases made further consultation, with no infection cases in the quarantine zone and no death cases. The six most occurred diseases were respiratory disease (20.6%), ophthalmology and otorhinolaryngology (12.9%), cardiovascular diseases (12.7%), digestive system disease (12.5%), dermatological diseases (10.6%), and metabolic and endocrine diseases (7.6%). The top three referred cases were obstetric diseases (19.3%), others (12.0%) and respiratory disease (10.2%). There were statistically significant differences between the diseases of the cases using telemedicine system with and without referral (P < 0.001). It is feasible, effective and efficient to construct and use telemedicine system in quarantine area. It is an approach to manage many patients by indirectly contact. With the solution of follow-up related problems and the application of novel technologies, telemedicine may usher in greater development.
Correlation between biological and mechanical properties of extracellular matrix from colorectal peritoneal metastases in human tissues
Authors: Lorenc Ewelina , Varinelli Luca , Chighizola Matteo , Brich Silvia , Pisati Federica , Guaglio Marcello , Baratti Dario , Deraco Marcello , Gariboldi Manuela , Podestà Alessandro
Published: July 2023

Peritoneal metastases (PM) are common routes of dissemination for colorectal cancer (CRC) and remain a lethal disease with a poor prognosis. The properties of the extracellular matrix (ECM) are important in cancer development; studying their changes is crucial to understand CRC-PM development. We studied the elastic properties of ECMs derived from human samples of normal and neoplastic PM by atomic force microscopy (AFM); results were correlated with patient clinical data and expression of ECM components related to metastatic spread. We show that PM progression is accompanied by stiffening of the ECM, increased cancer associated fibroblasts (CAF) activity and increased deposition and crosslinking in neoplastic matrices; on the other hand, softer regions are also found in neoplastic ECMs on the same scales. Our results support the hypothesis that local changes in the normal ECM can create the ground for growth and spread from the tumour of invading metastatic cells. We have found correlations between the mechanical properties (relative stiffening between normal and neoplastic ECM) of the ECM and patients’ clinical data, like age, sex, presence of protein activating mutations in BRAF and KRAS genes and tumour grade. Our findings suggest that the mechanical phenotyping of PM-ECM has the potential to predict tumour development.
Gilded vaterite optothermal transport in a bubble
Authors: Gilad Hod , Barhum Hani , Ushkov Andrey , Machnev Andrey , Ofer Daniel , Bobrovs Vjačeslavs , Ginzburg Pavel
Published: July 2023

Laser beams, capable of controlling the mechanical motion of micron-scale objects, can serve as a tool, enabling investigations of numerous interaction scenarios under full control. Beyond pure electromagnetic interactions, giving rise to conventional gradient forces and radiation pressure, environment-induced thermal effects can play a role and, in certain cases, govern the dynamics. Here we explore a thermocapillary Marangoni effect, which is responsible for creating long-range few hundreds of nano-Newton forces, acting on a bubble around a ‘gilded vaterite’ nanoparticle. Decorating calcium carbonate spherulite (the vaterite) with gold nanoseeds allows tuning its optical absorption and, as a result, controlling its temperature in a solution. We demonstrate that keeping a balance between electromagnetic and thermal interactions allows creating of a stable micron-scale bubble around the particle and maintaining its size over time. The bubbles are shown to remain stable over minutes even after the light source is switched off. The bubbles were shown to swim toward a laser focus for over 400-µm distances across the sample. Optothermal effects, allowing for efficient transport, stable bubble creation, and particle–fluid interaction control, can grant nano-engineered drug delivery capsules with additional functions toward a theragnostic paradigm shift.
β2-microglobulin and colorectal cancer among inpatients: a case–control study
Authors: Wang Huijie , Zheng Huanwei , Cao Xu , Meng Ping , Liu Jinli , Zheng Caihua , Zuo Haiying , Wang Zhichao , Zhang Teng
Published: July 2023

Β2-microglobulin (β2-M) is associated with various malignancies. However, the relationship between β2-M and colorectal cancer (CRC) remains unclear. We explored the association between β2-M and CRC among inpatients who underwent colonoscopy and explored factors that may modify the association. All consecutive inpatients who underwent colonoscopy were enrolled in a tertiary hospital between April 2015 and June 2022. Inpatients with initial CRC or normal colonoscopies were considered eligible as cases or controls, respectively. Baseline characteristics and laboratory indicators of the participants were collected from electronic medical records. Logistic regression analysis, smooth curve fitting, sensitivity analysis, and subgroup analysis were conducted in the present study. After adjusting for baseline clinical characteristics and laboratory parameters, β2-M was positively associated with CRC (odds ratio [OR] 1.32; 95% confidence interval [CI] 1.11–1.58) among inpatients. When the β2-M level was assigned as tertiles, participants in the highest tertile presented with a higher risk of CRC (OR 2.33; 95% CI 1.57–3.48). A positive linear association was observed between β2-M and CRC with smooth curve fitting. In particular, it may be of great importance to monitor β2-M levels for predicting CRC patients.
Dimensional structure of one-year post-COVID-19 neuropsychiatric and somatic sequelae and association with role impairment
Authors: Leung Owen N. W. , Chiu Nicholas K. H. , Wong Samuel Y. S. , Cuijpers Pim , Alonso Jordi , Chan Paul K. S. , Lui Grace , Wong Eliza , Bruffaerts Ronny , Yip Benjamin H. K. , Mortier Philippe , Vilagut Gemma , Kwok Dora , Lam Linda C. W. , Kessler Ronald C. , Mak Arthur D. P.
Published: July 2023

This study examined the latent structure of the broad range of complex neuropsychiatric morbidities occurring 1 year after COVID-19 infection. As part of the CU-COVID19 study, 248 (response rate=39.3%) of 631 adults hospitalized for COVID-19 infection in Hong Kong completed an online survey between March-2021 and January-2022. Disorder prevalence was compared against a random non-infected household sample (n=1834). 248 surveys were received on average 321 days post-infection (Mean age: 48.9, 54% female, moderate/severe/critical infection: 58.2%). 32.4% were screened to have at least one mental disorder, 78.7% of whom had concurrent fatigue/subjective cognitive impairment (SCI). Only PTSD (19.1%) was significantly more common than control (14%, p=0.047). Latent profile analysis classified individuals into P1 (12·4%)-no current neuropsychiatric morbidities, P2 (23.1%)-SCI/fatigue, P3 (45.2%)-anxiety/PTSD, P4 (19.3%)-depression. SCI and fatigue pervaded in all profiles (P2-4) with neuropsychiatric morbidities one-year post-infection. PTSD, anxiety and depressive symptoms were most important in differentiating P2-4. Past mental health and P4 independently predicted functional impairment. Neuropsychiatric morbidity was associated with past mental health, reduced resilience, financial problems, but not COVID-19 severity. Their confluence with depressive and anxiety symptoms predicted impairment and are associated with psychological and environmental factors.
A single case neuroimaging study of tickertape synesthesia
Authors: Hauw Fabien , El Soudany Mohamed , Rosso Charlotte , Daunizeau Jean , Cohen Laurent
Published: July 2023

Reading acquisition is enabled by deep changes in the brain’s visual system and language areas, and in the links subtending their collaboration. Disruption of those plastic processes commonly results in developmental dyslexia. However, atypical development of reading mechanisms may occasionally result in ticker-tape synesthesia (TTS), a condition described by Francis Galton in 1883 wherein individuals “see mentally in print every word that is uttered (…) as from a long imaginary strip of paper”. While reading is the bottom–up translation of letters into speech, TTS may be viewed as its opposite, the top–down translation of speech into internally visualized letters. In a series of functional MRI experiments, we studied MK, a man with TTS. We showed that a set of left-hemispheric areas were more active in MK than in controls during the perception of normal than reversed speech, including frontoparietal areas involved in speech processing, and the Visual Word Form Area, an occipitotemporal region subtending orthography. Those areas were identical to those involved in reading, supporting the construal of TTS as upended reading. Using dynamic causal modeling, we further showed that, parallel to reading, TTS induced by spoken words and pseudowords relied on top–down flow of information along distinct lexical and phonological routes, involving the middle temporal and supramarginal gyri, respectively. Future studies of TTS should shed new light on the neurodevelopmental mechanisms of reading acquisition, their variability and their disorders.
Impact of mercury on photosynthetic performance of Lemna minor: a chlorophyll fluorescence analysis
Authors: Singh Hanwant , Kumar Deepak , Soni Vineet
Published: July 2023

The purpose of this study was to evaluate the effectiveness of chlorophyll fluorescence analysis in detecting the effects of mercury (Hg) treatment in duckweed species Lemna minor. The results showed that Hg treatment (ranging from 0.0 to 0.4 µM) significantly impacted the plant's photosynthetic ability, with a decrease in variable chlorophyll fluorescence, energy fluxes, density of reaction centers, and performance index. Complete inhibition of electron transport was observed in plants treated with high Hg concentrations, and the quantum yield of primary photochemistry and the ratio of dissipated energy to absorption both decreased with increasing Hg concentrations. Performance Index (PI) was significantly affected by the Hg concentrations, reaching zero in plants treated with the highest Hg concentration. Overall, JIP analysis was found to be an effective tool for detecting deleterious effects of Hg in plants.
Enhanced electrocatalytic activity of fluorine doped tin oxide (FTO) by trimetallic spinel ZnMnFeO4/CoMnFeO4 nanoparticles as a hydrazine electrochemical sensor
Authors: Saei Jalal Niazi , Asadpour-Zeynali Karim
Published: July 2023

In the present study, ZnMnFeO4 and CoMnFeO4 tri-metallic spinel oxide nanoparticles (NPs) were provided using hydrothermal methods. The nanoparticles have been characterized by X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), Fourier transform infrared spectroscopy (FTIR), energy-dispersive X-ray spectroscopy (EDX), transmission electron microscopy (TEM), and electrochemical techniques. A reliable and reproducible electrochemical sensor based on ZnMnFeO4/CoMnFeO4/FTO was fabricated for rapid detection and highly sensitive determination of hydrazine by the DPV technique. It is observed that the modified electrode causes a sharp growth in the oxidation peak current and a decrease in the potential for oxidation, contrary to the bare electrode. The cyclic voltammetry technique showed that there is high electrocatalytic activity and excellent sensitivity in the suggested sensor for hydrazine oxidation. Under optimal experimental conditions, the DPV method was used for constructing the calibration curve, and a linear range of 1.23 × 10−6 M to 1.8 × 10−4 M with a limit of detection of 0.82 ± 0.09 μM was obtained. The obtained results indicate that ZnMnFeO4/CoMnFeO4/FTO nano sensors exhibit pleasant stability, reproducibility, and repeatability in hydrazine measurements. In addition, the suggested sensor was efficiently employed to ascertain the hydrazine in diverse samples of cigarette tobacco.
A fuzzy based dietary clinical decision support system for patients with multiple chronic conditions (MCCs)
Authors: Marashi-Hosseini Leila , Jafarirad Sima , Hadianfard Ali Mohammad
Published: July 2023

Due to the multifaceted nature of Multiple Chronic Conditions (MCCs), setting a diet for these patients is complicated and time-consuming. In this study, a clinical decision support system based on fuzzy logic was modeled and evaluated to aid dietitians in adjusting the diet for patients with MCCs. Mamdani fuzzy logic with 1144 rules was applied to design the model for MCCs patients over 18 years who suffer from one or more chronic diseases, including obesity, diabetes, hypertension, hyperlipidemia, and kidney disease. One hundred nutrition records from three nutrition clinics were employed to measure the system's performance. The findings showed that the diet set by nutritionists had no statistically significant difference from the diet recommended by the fuzzy model (p > 0.05), and there was a strong correlation close to one between them. In addition, the results indicated a suitable model performance with an accuracy of about 97%. This system could adjust the diet with high accuracy as well as humans. In addition, it could increase dietitians' confidence, precision, and speed in setting the diet for MCCs patients.
Factors associated with perceived fear of future pandemics and/or epidemics: a cross-sectional study in Cyprus
Authors: Alexandrou Romina , Kyprianidou Maria , Photiou Galatia , Kassianos Angelos P. , Giannakou Konstantinos
Published: July 2023

This study aims to understand the levels of fear experienced by individuals regarding future pandemics and/or epidemics among the general population of Cyprus and comprehensively examine the diverse factors that influence this perceived fear. The cross-sectional study was conducted from October 1st, 2022, to February 19th, 2023. A proportionate quota sampling method was used for the recruitment, by recruiting a fixed number of participants from each age group, sex, and place of residence. The study collected information on sociodemographic and health-related characteristics, health literacy, trust, COVID-19 vaccination information, and perceived fear of future epidemics and/or pandemics using a self-administered questionnaire. The survey included 1075 participants, with 53.7% of them reporting fear of future pandemics. Logistic regression analysis revealed that women (OR = 2.37, 95% CI 1.78, 3.16) and individuals vaccinated against COVID-19 (OR = 1.57, 95% CI 1.02, 2.43) were significantly more likely to experience fear of future pandemics. Moreover, higher levels of trust (OR = 1.04, 95% CI 1.02, 1.06) and higher health literacy (OR = 1.05, 95% CI 1.03, 1.08) were associated with an increased likelihood of fearing future pandemics. Conversely, unemployment (OR = 0.30, 95% CI 0.13, 0.65) and having a postgraduate education decreased the likelihood of fearing future pandemics (OR = 0.56, 95% CI 0.34, 0.90). The linear regression model revealed that older age (β = − 0.10, 95% CI − 0.14, − 0.05) was negatively associated with a higher score of fear regarding future pandemics. Conversely, being in a vulnerable group (β = 2.02, 95% CI 0.75, 3.28) and having at least one chronic disease (β = 1.76, 95% CI 0.68, 2.84) showed positive associations with increased fear of future epidemics and/or pandemics. The findings emphasize the need for relevant authorities to prioritize mental health and disseminate information in a manner that avoids spreading fear and panic, particularly among vulnerable population groups.
A statistical package for evaluation of hybrid performance in plant breeding via genomic selection
Authors: Chen Szu-Ping , Tung Chih-Wei , Wang Pei-Hsien , Liao Chen-Tuo
Published: July 2023

Hybrid breeding employs heterosis, which could potentially improve the yield and quality of a crop. Genomic selection (GS) is a promising approach for the selection of quantitative traits in plant breeding. The main objectives of this study are to (i) propose a GS-based approach to identify potential parental lines and superior hybrid combinations from a breeding population, which is composed of hybrids produced by a half diallel mating design; (ii) develop a software package for users to carry out the proposed approach. An R package, designated EHPGS, was generated to facilitate the employment of the genomic best linear unbiased model considering additive plus dominance marker effects for the hybrid performance evaluation. The R package contains a Bayesian statistical algorithm for calculating genomic estimated breeding value (GEBVs), GEBV-based specific combining ability, general combining ability, mid-parent heterosis, and better-parent heterosis. Three datasets that have been published in literature, including pumpkin (Cucurbita maxima), maize (Zea mays), and wheat (Triticum aestivum L.), were reanalyzed to illustrate the use of EHPGS.
Application of machine learning techniques to the modeling of solubility of sugar alcohols in ionic liquids
Authors: Bakhtyari Ali , Rasoolzadeh Ali , Vaferi Behzad , Khandakar Amith
Published: July 2023

The current trend of chemical industries demands green processing, in particular with employing natural substances such as sugar-derived compounds. This matter has encouraged academic and industrial sections to seek new alternatives for extracting these materials. Ionic liquids (ILs) are currently paving the way for efficient extraction processes. To this end, accurate estimation of solubility data is of great importance. This study relies on machine learning methods for modeling the solubility data of sugar alcohols (SAs) in ILs. An initial relevancy analysis approved that the SA-IL equilibrium governs by the temperature, density and molecular weight of ILs, as well as the molecular weight, fusion temperature, and fusion enthalpy of SAs. Also, temperature and fusion temperature have the strongest influence on the SAs solubility in ILs. The performance of artificial neural networks (ANNs), least-squares support vector regression (LSSVR), and adaptive neuro-fuzzy inference systems (ANFIS) to predict SA solubility in ILs were compared utilizing a large databank (647 data points of 19 SAs and 21 ILs). Among the investigated models, ANFIS offered the best accuracy with an average absolute relative deviation (AARD%) of 7.43% and a coefficient of determination (R2) of 0.98359. The best performance of the ANFIS model was obtained with a cluster center radius of 0.435 when trained with 85% of the databank. Further analyses of the ANFIS model based on the leverage method revealed that this model is reliable enough due to its high level of coverage and wide range of applicability. Accordingly, this model can be effectively utilized in modeling the solubilities of SAs in ILs.