bluuebunny/crossref_metadata_2025 huggingface dataset:
Le programme Participe-présent auprès d’aînés vivant avec une problématique de santé mentale ou des difficultés psychosociales affectant leur participation communautaire : résultats d’une étude pilote sur sa faisabilité
Authors: Aubin Ginette , Parisien Manon , Billette Véronique , Beauchamp Julie , Smele Sandra
Published: October 2023

Les aînés qui vivent avec des problèmes de santé mentale ou des difficultés psychosociales sont souvent isolés et marginalisés. Le programme Participe-présent a été développé dans le but de promouvoir leur participation communautaire. Les objectifs de cette étude étaient de 1) décrire la pertinence, l’acceptabilité, et la faisabilité du programme lors de sa mise à l’essai et 2) d’explorer les bienfaits et les effets à court-terme du programme pour les participants. Vingt-trois aînés, quatre animateurs et trois responsables provenant de quatre organismes ont participé à l’étude. Les aînés ont été satisfaits de leur expérience de participation au programme et ont rapporté une meilleure connaissance des ressources et une plus grande satisfaction à l’égard de leur vie sociale. Les animateurs et les responsables d’organismes ont souligné l’adaptabilité de Participe-présent aux besoins de leur clientèle et à leur contexte de pratique, et ont identifié les facilitateurs et les obstacles à sa mise en œuvre. D’autres études mèneront à des recommandations favorisant le succès de la mise en œuvre de Participe-présent dans différents contextes.
Influenza hospitalisations in Spain between the last influenza and COVID-19 pandemic (2009–2019)
Authors: Canelas-Fernández Javier , Mazagatos Clara , Delgado-Sanz Concepción , Larrauri Amparo
Published: October 2023

Knowing the burden of severe disease caused by influenza is essential for disease risk communication, to understand the true impact of vaccination programmes and to guide public health and disease control measures. We estimated the number of influenza-attributable hospitalisations in Spain during the 2010–2011 to 2019–2020 seasons – based on the hospitalisations due to severe acute respiratory infection (SARI) in Spain using the hospital discharge database and virological influenza information from the Spanish Influenza Sentinel Surveillance System (SISSS). The weekly numbers of influenza-attributable hospitalisations were calculated by multiplying the weekly SARI hospitalisations by the weekly influenza virus positivity, obtained from the SISSS in each season, stratified by age group and sex. The influenza-related hospitalisation burden is age-specific and varies significantly by influenza season. People aged 65 and over yielded the highest average influenza-attributable hospitalisation rates per season (615.6 per 100,000), followed by children aged under 5 (251.2 per 100,000). These results provide an essential contribution to influenza control and to improving existing vaccination programmes, as well as to the optimisation and planning of health resources and policies.
Machine Learning for Detecting Virus Infection Hotspots Via Wastewater‐Based Epidemiology: The Case of SARS‐CoV‐2 RNA
Authors: Zehnder Calvin , Béen Frederic , Vojinovic Zoran , Savic Dragan , Torres Arlex Sanchez , Mark Ole , Zlatanovic Ljiljana , Abebe Yared Abayneh
Published: October 2023

Wastewater‐based epidemiology (WBE) has been proven to be a useful tool in monitoring public health‐related issues such as drug use, and disease. By sampling wastewater and applying WBE methods, wastewater‐detectable pathogens such as viruses can be cheaply and effectively monitored, tracking people who might be missed or under‐represented in traditional disease surveillance. There is a gap in current knowledge in combining hydraulic modeling with WBE. Recent literature has also identified a gap in combining machine learning with WBE for the detection of viral outbreaks. In this study, we loosely coupled a physically‐based hydraulic model of pathogen introduction and transport with a machine learning model to track and trace the source of a pathogen within a sewer network and to evaluate its usefulness under various conditions. The methodology developed was applied to a hypothetical sewer network for the rapid detection of disease hotspots of the disease caused by the SARS‐CoV‐2 virus. Results showed that the machine learning model's ability to recognize hotspots is promising, but requires a high time‐resolution of monitoring data and is highly sensitive to the sewer system's physical layout and properties such as flow velocity, the pathogen sampling procedure, and the model's boundary conditions. The methodology proposed and developed in this paper opens new possibilities for WBE, suggesting a rapid back‐tracing of human‐excreted biomarkers based on only sampling at the outlet or other key points, but would require high‐frequency, contaminant‐specific sensor systems that are not available currently.
Deepening of Southern Ocean Gateway Leads to Abrupt Onset of a Deep‐Reaching Meridional Overturning Circulation
Authors: Xing Qianjiang , Klocker Andreas , Munday David , Whittaker Joanne
Published: October 2023

During the Eocene and the Eocene‐Oligocene transition, the lower cell of the meridional overturning circulation (MOC), associated with bottom water formation, underwent changes associated with the geological evolution of Southern Ocean gateways. These are important for the Cenozoic climate transition from Greenhouse to Icehouse, but their dynamics still remain elusive. We demonstrate, using an idealized eddying ocean model, that the opening of a gateway leads to the abrupt onset of a vigorous, deep‐reaching, MOC. This MOC has a maximum transport for a shallow gateway, and decreases with further deepening of the gateway. This abrupt change in the MOC can be explained through the ability with which standing meanders—turbulent features located downstream of the gateway—can induce deep vertical heat transport at high latitudes where bottom waters are produced. Our results demonstrate the crucial role of turbulent processes in setting the strength of the global ocean's deep‐reaching MOC.
The Temporal Brightening of Uranus' Northern Polar Hood From HST/WFC3 and HST/STIS Observations
Authors: James Arjuna , Irwin Patrick G. J. , Dobinson Jack , Wong Michael H. , Tsubota Troy K. , Simon Amy A. , Fletcher Leigh N. , Roman Michael T. , Teanby Nick A. , Toledo Daniel , Orton Glenn S.
Published: October 2023

Hubble Space Telescope Wide‐Field Camera 3 (HST/WFC3) observations spanning 2015 to 2021 confirm a brightening of Uranus' north polar hood feature with time. The vertical aerosol model of Irwin et al. (2023, https://doi.org/10.1038/s41550-023-02047-0) (IRW23), consisting of a deep haze layer based at ∼5 bar, a 1–2 bar haze layer, and an extended haze rising up from the 1–2 bar layer, was applied to retrievals on HST Space Telescope Imaging Spectrograph (STIS) (HST/STIS) observations (Sromovsky et al., 2014, 2019, https://doi.org/10.1016/j.icarus.2014.05.016, https://doi.org/10.1016/j.icarus.2018.06.026) revealing a reduction in cloud‐top CH4 volume mixing ratio (VMR) (i.e., above the deep ∼5 bar haze) by an average of 0.0019 ± 0.0003 between 40–80◦N (∼10% average reduction) from 2012 to 2015. A combination of latitudinal retrievals on the HST/WFC3 and HST/STIS data sets, again employing the IRW23 model, reveal a temporal thickening of the 1–2 bar haze layer to be the main cause of the polar hood brightening, finding an average increase in integrated opacity of 1.09 ± 0.08 (∼33% increase) at 0.8 µm north of ∼45°N, concurrent with a decrease in the imaginary refractive index spectrum of the 1–2 bar haze layer north of ∼40°N and longwards of ∼0.7 µm. Small contributions to the brightening were found from a thickening of the deep aerosol layer, with an average increase in integrated opacity of 0.6 ± 0.1 (58% increase) north of 45°N between 2012 and 2015, and from the aforementioned decrease in CH4 VMR. Our results are consistent with the slowing of a stratospheric meridional circulation, exhibiting subsidence at the poles.
Deciphering treatment patterns in non-severe/moderate aplastic anemia: an international observational study
Authors: Fattizzo Bruno , Gurnari Carmelo , Cassanello Giulio , Bortolotti Marta , Awada Hussein , Giammarco Sabrina , Consonni Dario , Sica Simona , Gandhi Shreyans , Trikha Roochi , Large Joanna , Salter Sarah , Maciejewski Jaroslaw P. , Barcellini Wilma , Kulasekararaj Austin G.
Published: October 2023

Non-severe aplastic anemia is a rare bone marrow failure disorder characterized by variable degrees and combination of cytopenias, with limited data on management and outcome. We describe a large multicentric series of 259 patients, focusing on clinical and molecular features, treatment, evolution, and survival. The majority required treatment with cyclosporine (CyA) alone (N = 84) or in combination with anti-thymocyte globulin (ATG,44) or eltrombopag (20), eltrombopag alone (10), or others (25) including androgens. Similar outcomes were observed across different strategies, with a 6-month overall response rate of 73% for CyA, 74% for ATG plus CyA, 68% for CyA plus eltrombopag, 87% for eltrombopag, and 79% for others. Notably, 56 patients (39%), mainly receiving CyA plus eltrombopag, achieved a trilineage response (p = 0.02). Progression to myeloid neoplasms was limited (8%) and not related to mutational status. Hemolytic PNH developed in 10% of cases, being predicted by detection of small clones at diagnosis. Survival was negatively impacted by age, male gender, LDH, platelets/erythrocyte transfusion need, and somatic mutations by NGS, and positively by higher neutrophils at diagnosis, PNH clones, and trilineage response at 6 and 12 months. Multivariable analysis confirmed the detrimental role of age and the favorable association with PNH clone and trilineage response at 6 months.
S100PBP is regulated by mutated KRAS and plays a tumour suppressor role in pancreatic cancer
Authors: Srivastava K. , Lines K. E. , Jach D. , Crnogorac-Jurcevic T.
Published: October 2023

We have previously shown that expression of S100PBP, an S100P binding partner, gradually decreases during progression of pancreatic ductal adenocarcinomas (PDAC). Here, we show that loss of S100PBP leads to oncogenic transformation of pancreatic cells; after deregulation of S100PBP expression, both in silico and in vitro analyses highlighted alterations of genes known to modulate cytoskeleton, cell motility and survival. Overexpression of S100P reduced S100PBP expression, while co-immunoprecipitation indicated the interaction of S100P with S100PBP-p53-ubiquitin protein complex, likely causing S100PBP degradation. The doxycycline-induced KrasG12D activation resulted in decreased S100PBP levels, while low-dose treatment with HDAC inhibitor MS-275 rescued its expression in both human and mouse PDAC cell lines. This indicates KrasG12D as an upstream epigenetic regulator of S100PBP. Finally, analysis of TCGA PanCancer Atlas PDAC datasets demonstrated poor prognosis in patients with high S100P and low S100PBP expression, suggesting that S100PBP is a novel tumour suppressor gene with potential clinical utility.
Macroscopic waves, biological clocks and morphogenesis driven by light in a giant unicellular green alga
Authors: Afik Eldad , Liu Toni J. B. , Meyerowitz Elliot M.
Published: October 2023

A hallmark of self-organisation in living systems is their capacity to stabilise their own dynamics, often appearing to anticipate and act upon potential outcomes. Caulerpa brachypus is a marine green alga consisting of differentiated organs resembling leaves, stems and roots. While an individual can exceed a metre in size, it is a single multinucleated giant cell. Thus Caulerpa presents the mystery of morphogenesis on macroscopic scales in the absence of cellularization. The experiments reported here reveal self-organised waves of greenness — chloroplasts — that propagate throughout the alga in anticipation of the day-night light cycle. Using dynamical systems analysis we show that these waves are coupled to a self-sustained oscillator, and demonstrate their entrainment to light. Under constant conditions light intensity affects the natural period and drives transition to temporal disorder. Moreover, we find distinct morphologies depending on light temporal patterns, suggesting waves of chlorophyll could link biological oscillators to metabolism and morphogenesis in this giant single-celled organism.
MYL3 protects chondrocytes from senescence by inhibiting clathrin-mediated endocytosis and activating of Notch signaling
Authors: Cao He , Yang Panpan , Liu Jia , Shao Yan , Li Honghao , Lai Pinglin , Wang Hong , Liu Anling , Guo Bin , Tang Yujin , Bai Xiaochun , Li Kai
Published: October 2023

As the unique cell type in articular cartilage, chondrocyte senescence is a crucial cellular event contributing to osteoarthritis development. Here we show that clathrin-mediated endocytosis and activation of Notch signaling promotes chondrocyte senescence and osteoarthritis development, which is negatively regulated by myosin light chain 3. Myosin light chain 3 (MYL3) protein levels decline sharply in senescent chondrocytes of cartilages from model mice and osteoarthritis (OA) patients. Conditional deletion of Myl3 in chondrocytes significantly promoted, whereas intra-articular injection of adeno-associated virus overexpressing MYL3 delayed, OA progression in male mice. MYL3 deficiency led to enhanced clathrin-mediated endocytosis by promoting the interaction between myosin VI and clathrin, further inducing the internalization of Notch and resulting in activation of Notch signaling in chondrocytes. Pharmacologic blockade of clathrin-mediated endocytosis-Notch signaling prevented MYL3 loss-induced chondrocyte senescence and alleviated OA progression in male mice. Our results establish a previously unknown mechanism essential for cellular senescence and provide a potential therapeutic direction for OA.
Assembly theory explains and quantifies selection and evolution
Authors: Sharma Abhishek , Czégel Dániel , Lachmann Michael , Kempes Christopher P. , Walker Sara I. , Cronin Leroy
Published: October 2023

Scientists have grappled with reconciling biological evolution1,2 with the immutable laws of the Universe defined by physics. These laws underpin life’s origin, evolution and the development of human culture and technology, yet they do not predict the emergence of these phenomena. Evolutionary theory explains why some things exist and others do not through the lens of selection. To comprehend how diverse, open-ended forms can emerge from physics without an inherent design blueprint, a new approach to understanding and quantifying selection is necessary3–5. We present assembly theory (AT) as a framework that does not alter the laws of physics, but redefines the concept of an ‘object’ on which these laws act. AT conceptualizes objects not as point particles, but as entities defined by their possible formation histories. This allows objects to show evidence of selection, within well-defined boundaries of individuals or selected units. We introduce a measure called assembly (A), capturing the degree of causation required to produce a given ensemble of objects. This approach enables us to incorporate novelty generation and selection into the physics of complex objects. It explains how these objects can be characterized through a forward dynamical process considering their assembly. By reimagining the concept of matter within assembly spaces, AT provides a powerful interface between physics and biology. It discloses a new aspect of physics emerging at the chemical scale, whereby history and causal contingency influence what exists.
A SISO FMCW radar based on inherently frequency scanning antennas for 2-D indoor tracking of multiple subjects
Authors: Sacco Giulia , Mercuri Marco , Hornung Rainer , Visser Huib , Lorato Ilde , Pisa Stefano , Dolmans Guido
Published: October 2023

The contextual non-invasive monitoring and tracking of multiple human targets for health and surveillance purposes is an increasingly investigated application. Radars are good candidates, since they are able to remotely monitor people without raising privacy concerns. However, radar systems are typically based on complex architectures involving multiple channels and antennas, such as multiple-input and multiple-output (MIMO) or electronic beam scanning, resulting also in a high power consumption. In contrast with existing technologies, this paper proposes a single-input and single-output (SISO) frequency-modulated continuous wave (FMCW) radar in combination with frequency scanning antennas for tracking multiple subjects in indoor environments. A data processing method is also presented for angular separation and clutter removal. The system was successfully tested in five realistic indoor scenarios involving paired subjects, which were either static or moving along predefined paths varying their range and angular position. In all scenarios, the radar was able to track the targets, reporting a maximum mean absolute error (MAE) of 20 cm and 5.64$$^\circ$$∘in range and angle, respectively. Practical applications arise for ambient assisted living, telemedicine, smart building applications and surveillance.
Structural studies of local environments in high-symmetry quasicrystals
Authors: Sosa Alan Rodrigo Mendoza , Kraemer Atahualpa S. , Oğuz Erdal C. , Schmiedeberg Michael
Published: October 2023

The statistics of how the local environment of a particle looks like, e.g., given by the distribution of nearest neighbor distances or the sizes of Voronoi cells, is important as a starting point for the calculation of many material properties like electronic or photonic band structures. Here we study local environments that occur in quasicrystals with large rotational symmetry. Both with analytical considerations based on geometric arguments and with an analysis of a large number of numerically created patches of high-symmetry quasicrystals we find that the Voronoi area’s distribution reaches a bimodal curve and that in the limit of large rotational symmetries the distribution of nearest neighbor distance converges against a universal curve, where $$27.7\%$$

27.7
%

of the vertices have their nearest neighbor at a normalized distance equal to 1, while for the other $$72.3\%$$

72.3
%

the nearest neighbor is at a distance less than 1. Therefore, the statistics of local environments is non-trivial but independent of the specific rotational symmetry. Thus properties that only depend on local environments are expected to be universal for all high-symmetry quasicrystals.
Down regulation of Cathepsin W is associated with poor prognosis in pancreatic cancer
Authors: Khojasteh-Leylakoohi Fatemeh , Mohit Reza , Khalili-Tanha Nima , Asadnia Alireza , Naderi Hamid , Pourali Ghazaleh , Yousefli Zahra , Khalili-Tanha Ghazaleh , Khazaei Majid , Maftooh Mina , Nassiri Mohammadreza , Hassanian Seyed Mahdi , Ghayour-Mobarhan Majid , Ferns Gordon A. , Shahidsales Soodabeh , Lam Alfred King-yin , Giovannetti Elisa , Nazari Elham , Batra Jyotsna , Avan Amir
Published: October 2023

Pancreatic ductal adenocarcinoma (PDAC) is associated with a very poor prognosis. Therefore, there has been a focus on identifying new biomarkers for its early diagnosis and the prediction of patient survival. Genome-wide RNA and microRNA sequencing, bioinformatics and Machine Learning approaches to identify differentially expressed genes (DEGs), followed by validation in an additional cohort of PDAC patients has been undertaken. To identify DEGs, genome RNA sequencing and clinical data from pancreatic cancer patients were extracted from The Cancer Genome Atlas Database (TCGA). We used Kaplan–Meier analysis of survival curves was used to assess prognostic biomarkers. Ensemble learning, Random Forest (RF), Max Voting, Adaboost, Gradient boosting machines (GBM), and Extreme Gradient Boosting (XGB) techniques were used, and Gradient boosting machines (GBM) were selected with 100% accuracy for analysis. Moreover, protein–protein interaction (PPI), molecular pathways, concomitant expression of DEGs, and correlations between DEGs and clinical data were analyzed. We have evaluated candidate genes, miRNAs, and a combination of these obtained from machine learning algorithms and survival analysis. The results of Machine learning identified 23 genes with negative regulation, five genes with positive regulation, seven microRNAs with negative regulation, and 20 microRNAs with positive regulation in PDAC. Key genesBMF,FRMD4A,ADAP2,PPP1R17, andCACNG3had the highest coefficient in the advanced stages of the disease. In addition, the survival analysis showed decreased expression ofhsa.miR.642a,hsa.mir.363,CD22,BTNL9, andCTSWand overexpression ofhsa.miR.153.1,hsa.miR.539,hsa.miR.412reduced survival rate.CTSWwas identified as a novel genetic marker and this was validated using RT-PCR. Machine learning algorithms may be used to Identify key dysregulated genes/miRNAs involved in the disease pathogenesis can be used to detect patients in earlier stages. Our data also demonstrated the prognostic and diagnostic value ofCTSWin PDAC.
Optimal selection of daily satellite precipitation product based on structural similarity index at 1 km resolution for the Pra catchment, Ghana
Authors: Gyasi-Agyei Yeboah , Obuobie Emmanuel , Yu Bofu , Addi Martin , Yahaya Bashiru
Published: October 2023

Thirteen satellite precipitation products (SPPs), re-gridded to 1 km resolution, were evaluated in terms of the structural similarity index (SSI) over the Pra catchment in Ghana. Three SPP scenarios were considered: Scenario one (S1) was the original SPPs; Scenario two (S2) was bias-corrected SPPs; and Scenario three (S3) was the better of S1 and S2 for each wet day. For each scenario, the best SPP was selected to constitute the 14th SPP referred to as the BEST SPP. Each SPP was evaluated in terms of SSI against the rain gauge rainfield for each wet day. For S1, the top three SPPs were TMPA, GSMAP and CMORPH; for S2, CMORPH, PERCCS and MSWEP were the top three; and for S3, CMORPH, PERCCS and TMPA came out on top in order of decreasing performance. Bias correction led to improvement in the overall SSI measure (SSIM) for 73% of wet days. The BEST SPP increased the SSIM of the best individual SPP by over 50% for S1, and over 30% for both S2 and S3. Comparing the BEST SPP of the three scenarios, S2 increased the SSIM statistic by 20% over that for S1, and SSIM was further improved by 4% for S3. It is highly recommended to use BEST SPP (S3) to generate the required 1 km × 1 km rainfields for the Pra, or other catchments around the world with a sparse rain gauge network, through conditional merging with rain gauge data as demonstrated.
National and regional trends in the prevalence of type 2 diabetes and associated risk factors among Korean adults, 2009–2021
Authors: Oh Jiyeon , Kim Soeun , Lee Myeongcheol , Rhee Sang Youl , Kim Min Seo , Shin Ju-Young , Lim Hyunjung , Lee Seung Won , Rahmati Masoud , Kim Sunyoung , Yon Dong Keon
Published: October 2023

Disproportionate impact of COVID-19 on socioeconomic and behavioral variables may have impacted the prevalence of diabetes. We utilized nationwide long-term serial study from the 2009 to 2021 Korea Community Health Survey (KCHS). We explored national and regional prevalence and trends of diabetes according to the socioeconomic and behavioral factors before and during the pandemic. Also, we interpreted which groups became more vulnerable to the prevalence of diagnosed diabetes during the pandemic. A total of 2,971,349 adults aged (19 to 39, 40 to 59, and ≥ 60 years) were included in the analysis. The prevalence of diagnosed diabetes increased slowly during the pandemic (11.6% [95% CI 11.5–11.7] in 2020 and 12.4% [95% CI 12.3–12.6] in 2021), compared to the pre-pandemic era (7.9% [95% CI 7.8–7.9] in 2009–2011 and 11.3% [95% CI 11.3–11.4] in 2018–2019). Also, women, low-income group, low-educational group, and infrequent walking group showed less prevalence of diagnosed diabetes than the others. The diabetic population increased slowly than expected during the pandemic. The pandemic seems to contribute to an unanticipated increase in under-diagnosis of diabetes among the already minority. This study may suggest reinforcing access to healthcare services among the minority during the pandemic.
Biomechanical investigation of tasks concerning manual materials handling using response surface methodology
Authors: Adhaye Amit M. , Jolhe Dhananjay A. , Loyte Akshay R. , Devarajan Yuvarajan , Thanappan Subash
Published: October 2023

In typical manual material handling, the variations in walking pattern are decided by various factors, such as load being handled, frequency of handling, walking surface, etc. Traditional gait analysis protocols commonly evaluate individual factor within specified ranges associated with particular activities or pathologies. However, existing literature underscores the concurrent impact of multiple factors on gait. This study identifies five pivotal factors—walking speed, surface slope, load carried, carrying method, and footwear—as contributors to gait alterations. To address risk factors in manual material handling activities, we propose a unique design-of-experiment-based approach for multi-task gait analysis. Unraveling the relationship between manual handling attributes and human gait holds paramount importance in formulating effective intervention strategies. We optimized the five input factors across a cohort of 15 healthy male participants by employing a face-centered central composite design experimentation. A total of 29 input factor combinations were tested, yielding a comprehensive dataset encompassing 18 kinematic gait parameters (such as cadence, step length etc., measured using inertial measurement system), the isolated impacts of factors, and the interplay of two-factor interactions with corresponding responses. The results illuminate the optimal scenarios of input factors that enhance individual gait performance—these include wearing appropriate footwear, employing a backpack for load carriage, and maintaining a moderate walking pace on a medium slope with minimal load. The study identifies walking speed and load magnitude as primary influencers of gait mechanics, followed by the chosen carrying method. In consequence, the insights gained advocate for the refinement of manual material handling tasks based on the outcomes, effectively mitigating the risk of musculoskeletal disorders by suggesting the interventions for posture correction.
Xenopus Ssbp2 is required for embryonic pronephros morphogenesis and terminal differentiation
Authors: Cervino Ailen S. , Collodel Mariano G. , Lopez Ivan A. , Roa Carolina , Hochbaum Daniel , Hukriede Neil A. , Cirio M. Cecilia
Published: October 2023

The nephron, functional unit of the vertebrate kidney, is specialized in metabolic wastes excretion and body fluids osmoregulation. Given the high evolutionary conservation of gene expression and segmentation patterning between mammalian and amphibian nephrons, the Xenopus laevis pronephric kidney offers a simplified model for studying nephrogenesis. The Lhx1 transcription factor plays several roles during embryogenesis, regulating target genes expression by forming multiprotein complexes with LIM binding protein 1 (Ldb1). However, few Lhx1-Ldb1 cofactors have been identified for kidney organogenesis. By tandem- affinity purification from kidney-induced Xenopus animal caps, we identified single-stranded DNA binding protein 2 (Ssbp2) interacts with the Ldb1–Lhx1 complex. Ssbp2 is expressed in the Xenopus pronephros, and knockdown prevents normal morphogenesis and differentiation of the glomus and the convoluted renal tubules. We demonstrate a role for a member of the Ssbp family in kidney organogenesis and provide evidence of a fundamental function for the Ldb1–Lhx1-Ssbp transcriptional complexes in embryonic development.
A covalent organic framework-derived M1 macrophage mimic nanozyme for precise tumor-targeted imaging and NIR-II photothermal catalytic chemotherapy
Authors: Gao Peng , Wang Kaixian , Wei Ruyue , Shen Xiaoying , Pan Wei , Li Na , Tang Bo
Published: October 2023

A M1 macrophage membrane-cloaked biomimetic nanosystem was fabricated for tumor-targeted imaging, drug delivery and NIR-II photothermal-catalysis-enhanced chemotherapy of breast cancer.
Significant cell uptake of Gd(iii)-diphenylphosphoryl-diphenylphosphonium complexes: evidence for a new conformationally-dependent tumour cell targeting vector
Authors: Hall Andrew J. , Robertson Amy G. , Baker Robert W. , Hill Leila R. , Rendina Louis M.
Published: October 2023

Prodigious levels of Gd3+can be delivered selectively to glioma cells by a propyl-linked diphenylphosphoryl-diphenylphosphonium vector with a unique conformation.
Time gated Fourier transform spectroscopy with burst excitation for time-resolved spectral maps from the nano- to millisecond range
Authors: Liisberg Mikkel B. , Rück Vanessa , Vosch Tom
Published: October 2023

We demonstrate burst-mode Time Gated Fourier Transform Spectroscopy (bmTG-FTS), a technique for simultaneously capturing and disentangling emission signals from short- (ns) and long-lived (μs–ms) states.
Efficient one-step oxidation of isobutylene to methacrylic acid over Mo–V–Te–Cs by integrating active lattice oxygen and suitable medium acidity
Authors: Liu Xu , Wang Qingrong , Zhou Jiaqi , Bao Ming , Wang Jiasheng
Published: October 2023

One-step oxidation of isobutylene to methacrylic acid was realized over Mo–V–Te–Cs by integrating active lattice oxygen and suitable medium acidity.
Solvent effects on the photoinduced charge separation dynamics of directly linked zinc phthalocyanine-perylenediimide dyads: a nonadiabatic dynamics simulation with an optimally tuned screened range-separated hybrid functional
Authors: Liu Shuai , Liu Sha-Sha , Tang Xiao-Mei , Liu Xiang-Yang , Yang Jia-Jia , Cui Ganglong , Li Laicai
Published: October 2023

A combination of the OT-SRSH functional, the PCM solvent model and nonadiabatic dynamics simulations might be a powerful tool for elucidating the solvent induced charge transfer dynamics of organic donor–acceptor systems.
Correction: Tuning the optical properties of the metal–organic framework UiO-66 via ligand functionalization
Authors: Treger Marvin , Hannebauer Adrian , Schaate Andreas , Budde Jan L. , Behrens Peter , Schneider Andreas M.
Published: October 2023

Correction for ‘Tuning the optical properties of the metal–organic framework UiO-66 via ligand functionalization’ by Marvin Treger et al., Phys. Chem. Chem. Phys., 2023, 25, 6333–6341, https://doi.org/10.1039/D2CP03746G.
Copper complexes for the chemoselective N-arylation of arylamines and sulfanilamides via Chan–Evans–Lam cross-coupling
Authors: Raju Selvam , Teimouri Mohsen , Adhikari Bhupendra , Donnadieu Bruno , Stokes Sean L. , Emerson Joseph P.
Published: October 2023

Copper(ii) complexes with tridentate NNN-ligands were utilized for Chan–Evans–Lam (CEL) cross-coupling reactions to enable the chemoselective N-arylation of N-nucleophiles through the activation of aryl boronic acids.
Ru(ii) based dual nitric oxide donors: electrochemical and photochemical reactivities and vasorelaxant effect with no cytotoxicity
Authors: da Silva Carlos D. S. , Ferreira Kleber Q. , Meira Cássio S. , Soares Milena B. P. , Moraes Raiana dos Anjos , Araújo Fênix Alexandra , Flavia Silva Darizy , de Sá Denise S.
Published: October 2023

The synthesized complexes, cis-[Ru(NO)(NO2)(phen)2](PF6)2 (NONO2P) and cis-[Ru(NO)(NO2)(bpy)2](PF6)2 (NONO2B), were characterized by using elemental analysis, voltammetry and electronic and vibrational spectroscopy.
Elaborate tree-like Cu–Ag clusters from green electrodeposition for efficiently electrocatalyzing CO2 conversion into syngas
Authors: Xu Cuiping , Shi Yuande , Zou Xiaohuan , Xu Hongyang , Zeng Lingxing , Li Zhongshui , Huang Qiufeng
Published: October 2023

Combining Cu and Ag via green electrodeposition results in formation of tree-like Cu–Ag clusters. Close interfacial contact between Cu and Ag is conducive to faster electron transfer, and their synergistic interaction improves electrocatalytic performance towards the CO2 reduction reaction.
Role of ancillary ligands in selectivity towards acceptorless dehydrogenation versus dehydrogenative coupling of alcohols and amines catalyzed by cationic ruthenium(ii)–CNC pincer complexes
Authors: Singh Rahul Kumar , Yadav Dibya , Misra Shilpi , Singh Amrendra K.
Published: October 2023

The unexpected reversal in the catalytic activity of cationic Ru(ii)–CNC pincer complexes for dehydrogenative coupling compared to acceptorless dehydrogenation can be explained using the trans effect of the auxiliary ligands (CO > COD > DMSO ≈ PPh3).
Dietary Lactobacillus rhamnosus GG extracellular vesicles enhance antiprogrammed cell death 1 (anti-PD-1) immunotherapy efficacy against colorectal cancer
Authors: Lu Shun , Xu Jing , Zhao Zihao , Guo Yuheng , Zhang Hanwen , Jurutka Peter W. , Huang Dechun , Cao Chongjiang , Cheng Shujie
Published: October 2023

Dietary Lactobacillus rhamnosus GG extracellular vesicles (LGG-EV) synergistically enhanced anti-PD-1 immunotherapy efficacy against colorectal cancer. It was associated with improved tumor immunosuppressive environment, the abundance of beneficial bacteria and elevated specific serum metabolites.
Casein–phenol interactions occur during digestion and affect bioactive peptide and phenol bioaccessibility
Authors: Hamzalioglu Aytul , Tagliamonte Silvia , Gökmen Vural , Vitaglione Paola
Published: October 2023

Casein-phenol interaction during digestion provides better bioactive peptide release, antioxidant peptide release and higher bioaccessible total antioxidant activity.
Controllable hierarchical self-assembly: systematic study forming metallosupramolecular frameworks on the basis of helical beta-oligoamides
Authors: West Norton G. , Bamford Sarah E. , Pigram Paul J. , Pan Jisheng , Qi Dong-Chen , Mechler Adam
Published: October 2023

Metallosupramolecular frameworks are high density two dimensional nanomaterials based on head-to-tail supramolecular assembly of helical units of substituted oligoamides into nanorods that are then further crosslinked by metal coordination.
Insights into the effects of Mn and Ni on Pt-modified sulfated CeO2 catalysts for NO removal
Authors: Fan Hao , Peng Qin , Shen Zhenxing , He Xuefeng , Yang Yiming
Published: October 2023

Mn increased the concentration of weak acid sites and surface-adsorbed oxygen, enhancing the redox ability.
Efficient, multi-hundred-gram scale access to E3 ubiquitin ligase ligands for degrader development
Authors: Cooper Mark S. , Norley Mark C. , Armitage Simon , Cresser-Brown Joel O. , Edmonds Anthony K. , Goggins Sean , Hopewell Jonathan P. , Karadogan Burhan , Knights Kevin A. , Nash Toby J. , Oakes Catherine S. , O'Neill William J. , Pridmore Simon J. , Maple Hannah J. , Marsh Graham P.
Published: October 2023

Supporting degrader discovery programs in scale and scope: facile access to multi-hundred-gram quantities of the common E3 ligase ligands.
A fluorescent probe for selective detection of boric acids and its application for screening the conversion of the Suzuki–Miyaura coupling reaction
Authors: Eom Min Sik , Park Byoung Yong , Kang Seungyoon , Han Min Su
Published: October 2023

A boric acid (B(OH)3) selective fluorescent probe, Di-OH, was developed, which was further applied for screening the conversion of the Suzuki–Miyaura coupling reaction.
A hyperthermia-enhanced nanocatalyst based on asymmetric Au@polypyrrole for synergistic cancer Fenton/photothermal therapy
Authors: Wu Xixi , Liang Huazhen , Li Chaoming , Zhou Duanyang , Liu Rui
Published: October 2023

A second near-infrared light-activated nanocatalyst based on asymmetric Au@polypyrrole has been elaborately fabricated by employing HAuCl4 as oxidating catalysts and then coated with MnO2 shell for causing hyperthermia and oxidative stress damage against cancer.
Copper-mediated synthesis of temperature-responsive poly(N-acryloyl glycinamide) polymers: a step towards greener and simple polymerisation
Authors: Křivánková Nikola , Kaya Kerem , van der Wijngaart Wouter , Edlund Ulrica
Published: October 2023

Stimuli-responsive materials with reversible supramolecular networks controlled by a change in temperature are of interest in medicine, biomedicine and analytical chemistry.
Electrically conductive [Fe4S4]-based organometallic polymers
Authors: Kadota Kentaro , Chen Tianyang , Gormley Eoghan L. , Hendon Christopher H. , Dincă Mircea , Brozek Carl K.
Published: October 2023

Covalent metal-linker bonds greatly enhance the conductivity of hybrid organic–inorganic materials.
A breath of sunshine: oxygenic photosynthesis by functional molecular architectures
Authors: Gobbato Thomas , Volpato Giulia Alice , Sartorel Andrea , Bonchio Marcella
Published: October 2023

Water oxidation liberating dioxygen under visible light irradiation poses a formidable challenge to natural and artificial photosystems. The quest for the “green shift” represents a major goal to enhance the overall photosynthetic performance by tailoring molecular architectures.
Unravelling the effect of benzoquinone intercalators on the aqueous zinc-ion storage performance toward a vanadium pentoxide cathode
Authors: Xia Yuanhao , Cao Qin , Wang Yan , Wang Xinlei , Zhou Jie
Published: October 2023

We demonstrate V2O5 cathodes with benzoquinones intercalation. The intercalated BQ4Br expands V2O5 lattices and improves reaction kinetics, endowing V2O5-BQ4Br with higher capacity and cycle stability.
Topology driven and soft phonon mode enabled Na-ion diffusion in quaternary chalcogenides, Na3ZnGaX4 (X = S, and Se)
Authors: Kumar Sajan , Gupta Mayanak K. , Mittal Ranjan , Sundaramoorthy Santhoshkumar , Choudhury Amitava , Osti Naresh C. , Kolesnikov Alexander I. , Stone Matthew B. , Cheng Yongqiang , Chaplot Samrath L.
Published: October 2023

A shallow potential energy surface facilitated by a specific structural topology of 32g sites key to three dimensional Na-diffusion.
Boosting the in-plane thermal conductivity of nanofibrillated cellulose films: alignment engineering of cross-linked AlN whiskers
Authors: Niu Mengyang , Zhao Zheng , Wang Baokai , Yu Chang , Li Mengyi , Hu Jiajun , Zhu Lifeng , Hao Xu , Wan Shiqin , Yue Ming , Xuan Weiwei , Lu Qipeng , Cao Wenbin , Chen Kexin , Wang Qi
Published: October 2023

Flexible composite films with an extremely high in-plane thermal conductivity were prepared with the assistance of aligning and interconnecting AlN whiskers.
Molecular metal oxide cluster-soldered interpenetrating polymer network “hosts” carbon nanotube “guest” for green millimeter wave absorption
Authors: Manna Kunal , Sen Gupta Ria , Mandal Samir , Swaminadhan Arya , Dutta Soumi , Samanta Ketaki , Islam Sk Safikul , Malakar Amit , Bose Suryasarathi
Published: October 2023

Copper-based Keggin-type polyoxometalate-soldered IPN-CNT construct has been designed through host–guest electrostatic assembly between counter-charged CNTs and Cu-POM-soldered charge-triggered IPN for enhanced millimeter wave absorption in X-band.
Vacuum-deposited organic photodetectors utilizing non-fullerene acceptors for enhanced detectivity in the green visible light spectrum
Authors: Septian M Rivaldi Ali , Estrada Richie , Lee Chih-Chien , Chen Chih-Hsin , Iskandar Johan , Amin Nurul Ridho Al , Akbar Abdul Khalik , Uma Kasimayan , Liu Shun-Wei
Published: October 2023

Herein, free fullerene and fullerene-based active layers are compared. NPB : SubPc exhibits higher detectivity than SubPc : C60 in the green selectivity. Thereby, free fullerene organic photodetectors are promising for efficient optical sensors.
Effect of a benzothiadiazole spacer on transport properties and N-doping of naphthalene-diimide-based copolymers
Authors: Bardagot Olivier , Kervella Yann , Medjahed Asma Aicha , Pouget Stéphanie , Domschke Tamara Nunes , Carella Alexandre , Aumaître Cyril , Lévêque Patrick , Demadrille Renaud
Published: October 2023

Incorporation of a benzothiadiazole moiety into a thiophene and naphthalene diimide-based copolymer improves electron mobility, conductivity and stability in the doped state.
Peroxi-electrocoagulation for treatment of trace organic compounds and natural organic matter at neutral pH
Authors: Ryan Donald R. , McNamara Patrick J. , Baldus Claire K. , Wang Yin , Mayer Brooke K.
Published: October 2023

Iron-electrocoagulation paired with hydrogen peroxide can potentially serve as an oxidative technology that can simultaneously remove trace organic compounds and bulk organics such as natural organic matter within the same unit process.
Bio‐inspired structure constraints following control for enhancing hunting stability of high‐speed trains
Authors: Zhao Jingyu , Zhang Heng , Ling Liang , Zhang Zheshuo , Wang Kaiyun , Zhai Wanming
Published: October 2023

High‐speed trains (HSTs) often face challenges associated with car‐body hunting, resulting from factors such as complex operating environments and wheel‐rail contact degradation. These issues have a significant impact on the ride quality and operational safety. Passive suspension systems are inadequate to provide satisfactory dynamic performance for HSTs in such circumstances. However, active suspension systems can provide an effective solution. To address the car‐body hunting stability of HSTs, this study proposes a novel control approach called displacement inequality constraint following control (ICFC‐BIS) for the active suspension of HSTs. The ICFC‐BIS leverages the beneficial nonlinearity of bio‐inspired structures (BIS) to indirectly achieve excellent dynamic characteristics of the BIS through actuators installed in the suspension of HSTs, eliminating the need for actual BIS installation. Numerical simulation results demonstrate that the proposed ICFC‐BIS can effectively suppress car‐body hunting motion, thereby enhancing the ride comfort of HSTs. Consequently, the operational safety and ride comfort indices of HSTs equipped with active suspension systems are significantly improved.
Bird's nest defect detection of transmission lines based on domain knowledge and occlusion reasoning
Authors: Dong Na , Zhang Wenjing , Chen Ze , Feng Haiyan , Jia Jiandong
Published: October 2023

Bird's nest defect is an important cause of transmission line faults. To achieve accurate detection of bird nest defects in complex scenarios, a bird nest defect detection model for transmission lines was proposed that combines domain knowledge and occlusion reasoning networks. On the one hand, the model utilized the domain knowledge of the location of the bird's nest, using edge detection to obtain tower area information to constrain the location of candidate frames. This helps to reduce the false detection caused by complex backgrounds. On the other hand, on the basis of analyzing the occlusion characteristics of bird nests, the model employed occlusion reasoning networks that randomly erase features at the feature level to simulate the occlusion of bird nests in real scenes and improve the model's detection capability for occluded targets. Additionally, a multi‐scale feature fusion algorithm was designed in this paper to adapt the model to the scale variations of bird nests in aerial images. Experimental results demonstrate that the model outperforms advanced target detection models and other bird nest defect detection methods, with an AP50 of 78.8% and an AR10 of 72.4% for defect detection.
Performance analysis of ground‐based long baseline radar distributed systems for space situational awareness
Authors: Díaz Riofrío Sebastián , Da Graça Marto Simão , Ilioudis Christos , Vasile Massimiliano , Clemente Carmine
Published: October 2023

Detection of space objects is a key component of space situational awareness, which could help prevent and minimise space collisions. While there have been lots of radar systems designed to detect space objects, few of them have dealt with long baseline distributed bistatic pairs. The authors focus on the feasibility of long baseline bistatic radars, which can be extended for the multistatic case; and the performance of the multistatic system for a target at different altitudes assuming one transmitter over three different scenarios: a cluster of receivers, receivers spread throughout the world and the combination of the two previous cases. To analyse the performance the multiple‐input‐multiple‐output (MIMO) ambiguity function (AF) will be employed. The results of the MIMO AF show how the fusion of different bistatic pairs improves the detection capabilities. Moreover, when the different radar measurements are coherently summed in the MIMO AF, the uncertainty on the location of the target is reduced.
Photon-counting computed tomography – clinical application in oncological, cardiovascular, and pediatric radiology
Authors: Hagen Florian , Soschynski Martin , Weis Meike , Hagar Muhammad Taha , Krumm Patrick , Ayx Isabelle , Taron Jana , Krauss Tobias , Hein Manuel , Ruile Philipp , von zur Muehlen Constantin , Schlett Christopher L. , Neubauer Jakob , Tsiflikas Ilias , Russe Maximilian Frederik , Arnold Philipp , Faby Sebastian , Froelich Matthias F. , Weiß Jakob , Stein Thomas , Overhoff Daniel , Bongers Malte , Nikolaou Konstantin , Schönberg Stefan O. , Bamberg Fabian , Horger Marius
Published: October 2023

Background Photon-counting detector computed tomography (PCD-CT) is a promising new technology with the potential to fundamentally change workflows in the daily routine and provide new quantitative imaging information to improve clinical decision-making and patient management.

Method The contents of this review are based on an unrestricted literature search of PubMed and Google Scholar using the search terms “photon-counting CT”, “photon-counting detector”, “spectral CT”, “computed tomography” as well as on the authors’ own experience.

Results The fundamental difference with respect to the currently established energy-integrating CT detectors is that PCD-CT allows for the counting of every single photon at the detector level. Based on the identified literature, PCD-CT phantom measurements and initial clinical studies have demonstrated that the new technology allows for improved spatial resolution, reduced image noise, and new possibilities for advanced quantitative image postprocessing.

Conclusion For clinical practice, the potential benefits include fewer beam hardening artifacts, a radiation dose reduction, and the use of new or combinations of contrast agents. In particular, critical patient groups such as oncological, cardiovascular, lung, and head & neck as well as pediatric patient collectives benefit from the clinical advantages.

Key Points: 

Citation Format