bluuebunny/crossref_metadata_2025_split huggingface dataset:
An unexpected role of Nogo-A as regulator of tooth enamel formation
Authors: Pagella Pierfrancesco , Lai Chai Foong , Pirenne Laurence , Cantù Claudio , Schwab Martin E. , Mitsiadis Thimios A. 
Published: October 2024

AbstractNeurite outgrowth inhibitor A (Nogo-A) is a major player in neural development and regeneration and the target of clinical trials aiming at promoting the regeneration of the central nervous system upon traumatic and ischemic injury. In this work, we investigated the functions of Nogo-A during tooth development to determine its role in dental physiology and pathology. Using immunohistochemistry and in situ hybridization techniques, we showed that Nogo-A is highly expressed in the developing mouse teeth and, most specifically, in the ameloblasts that are responsible for the formation of enamel. Using both Nogo-A knockout and K14-Cre;Nogo-A fl/fl transgenic mice, we showed that Nogo-A deletion in the dental epithelium leads to the formation of defective enamel. This phenotype is associated with overexpression of a set of specific genes involved in ameloblast differentiation and enamel matrix production, such as amelogenin, ameloblastin and enamelin. By characterising the interactome of Nogo-A in the dental epithelium of wild-type and mutant animals, we found that Nogo-A directly interacts with molecules important for regulating gene expression, and its deletion disturbs their cellular localisation. Furthermore, we demonstrated that inhibition of the intracellular, but not cell-surface, Nogo-A is responsible for gene expression modulation in ameloblasts. Taken together, these results reveal an unexpected function for Nogo-A in tooth enamel formation by regulating gene expression and cytodifferentiation events.
Hallmarks of a genomically distinct subclass of head and neck cancer
Authors: Muijlwijk Tara , Nauta Irene H. , van der Lee Anabel , Grünewald Kari J. T. , Brink Arjen , Ganzevles Sonja H. , Baatenburg de Jong Robert J. , Atanesyan Lilit , Savola Suvi , van de Wiel Mark A. , Peferoen Laura A. N. , Bloemena Elisabeth , van de Ven Rieneke , Leemans C. René , Poell Jos B. , Brakenhoff Ruud H. 
Published: October 2024

Abstract
Cancer is caused by an accumulation of somatic mutations and copy number alterations (CNAs). Besides mutations, these copy number changes are key characteristics of cancer development. Nonetheless, some tumors show hardly any CNAs, a remarkable phenomenon in oncogenesis. Head and neck squamous cell carcinomas (HNSCCs) arise by either exposure to carcinogens, or infection with the human papillomavirus (HPV). HPV-negative HNSCCs are generally characterized by many CNAs and frequent mutations in CDKN2A, TP53, FAT1, and NOTCH1. Here, we present the hallmarks of the distinct subgroup of HPV-negative HNSCC with no or few CNAs (CNA-quiet) by genetic profiling of 802 oral cavity squamous cell carcinomas (OCSCCs). In total, 73 OCSCC (9.1%) are classified as CNA-quiet and 729 as CNA-other. The CNA-quiet group is characterized by wild-type TP53, frequent CASP8 and HRAS mutations, and a less immunosuppressed tumor immune microenvironment with lower density of regulatory T cells. Patients with CNA-quiet OCSCC are older, more often women, less frequently current smokers, and have a better 5-year overall survival compared to CNA-other OCSCC. This study demonstrates that CNA-quiet OCSCC should be considered as a distinct, clinically relevant subclass. Given the clinical characteristics, the patient group with these tumors will rapidly increase in the aging population.
IGF2BP1 phosphorylation in the disordered linkers regulates ribonucleoprotein condensate formation and RNA metabolism
Authors: Hornegger Harald , Anisimova Aleksandra S. , Muratovic Adnan , Bourgeois Benjamin , Spinetti Elena , Niedermoser Isabell , Covino Roberto , Madl Tobias , Karagöz G. Elif 
Published: October 2024

AbstractThe insulin-like growth factor 2 mRNA binding protein 1 (IGF2BP1) is a conserved RNA-binding protein that regulates RNA stability, localization and translation. IGF2BP1 is part of various ribonucleoprotein (RNP) condensates. However, the mechanism that regulates its assembly into condensates remains unknown. By using proteomics, we demonstrate that phosphorylation of IGF2BP1 at S181 in a disordered linker is regulated in a stress-dependent manner. Phosphomimetic mutations in two disordered linkers, S181E and Y396E, modulate RNP condensate formation by IGF2BP1 without impacting its binding affinity for RNA. Intriguingly, the S181E mutant, which lies in linker 1, impairs IGF2BP1 condensate formation in vitro and in cells, whereas a Y396E mutant in the second linker increases condensate size and dynamics. Structural approaches show that the first linker binds RNAs nonspecifically through its RGG/RG motif, an interaction weakened in the S181E mutant. Notably, linker 2 interacts with IGF2BP1’s folded domains and these interactions are partially impaired in the Y396E mutant. Importantly, the phosphomimetic mutants impact IGF2BP1’s interaction with RNAs and remodel the transcriptome in cells. Our data reveal how phosphorylation modulates low-affinity interaction networks in disordered linkers to regulate RNP condensate formation and RNA metabolism.
Cryo-EM structures of ryanodine receptors and diamide insecticides reveal the mechanisms of selectivity and resistance
Authors: Lin Lianyun , Wang Changshi , Wang Wenlan , Jiang Heng , Murayama Takashi , Kobayashi Takuya , Hadiatullah Hadiatullah , Chen Yu Seby , Wu Shunfan , Wang Yiwen , Korza Henryk , Gu Yucheng , Zhang Yan , Du Jiamu , Van Petegem Filip , Yuchi Zhiguang 
Published: October 2024

AbstractThe resistance of pests to common insecticides is a global issue that threatens food production worldwide. Diamide insecticides target insect ryanodine receptors (RyRs), causing uncontrolled calcium release from the sarcoplasmic and endoplasmic reticulum. Despite their high potency and species selectivity, several resistance mutations have emerged. Using a chimeric RyR (chiRyR) approach and cryo-electron microscopy (cryo-EM), we investigate how insect RyRs engage two different diamide insecticides from separate families: flubendiamide, a phthalic acid derivative, and tetraniliprole, an anthranilic compound. Both compounds target the same site in the transmembrane region of the RyR, albeit with different poses, and promote channel opening through coupling with the pore-forming domain. To explore the resistance mechanisms, we also solve two cryo-EM structures of chiRyR carrying the two most common resistance mutations, I4790M and G4946E, both alone and in complex with the diamide insecticide chlorantraniliprole. The resistance mutations perturb the local structure, directly reducing the binding affinity and altering the binding pose. Our findings elucidate the mode of action of different diamide insecticides, reveal the molecular mechanism of resistance mutations, and provide important clues for the development of novel pesticides that can bypass the resistance mutations.
Model of driving factors for success in public health project management using structural equation modeling
Authors: Santos Carolina , Varajão João , Takagi Nilton , Manuela Gonçalves A. 
Published: October 2024

AbstractIn a context where pandemic crises and chronic conditions are a constant and increasing threat, the success of public health projects is absolutely critical. However, little is known about the factors that influence the success of projects that aim to provide conditions for people to be healthy and prolong the life of the population as a whole. A mixed-method study was carried out to fill the literature gap, resulting in a new model of success factors for public health projects. The research work theorizes the success factors that impact public health project success, providing relevant knowledge for project managers and contributing to the successful management of public health projects.
Interpretable GWAS by linking clinical phenotypes to quantifiable immune repertoire components
Authors: Tan Yuhao , Wang Lida , Zhang Hongyi , Pan Mingyao , Liu Dajiang J. , Zhan Xiaowei , Li Bo 
Published: October 2024

AbstractBridging the gap between genotype and phenotype in GWAS studies is challenging. A multitude of genetic variants have been associated with immune-related diseases, including cancer, yet the interpretability of most variants remains low. Here, we investigate the quantitative components in the T cell receptor (TCR) repertoire, the frequency of clusters of TCR sequences predicted to have common antigen specificity, to interpret the genetic associations of diverse human diseases. We first developed a statistical model to predict the TCR components using variants in the TRB and HLA loci. Applying this model to over 300,000 individuals in the UK Biobank data, we identified 2309 associations between TCR abundances and various immune diseases. TCR clusters predicted to be pathogenic for autoimmune diseases were significantly enriched for predicted autoantigen-specificity. Moreover, four TCR clusters were associated with better outcomes in distinct cancers, where conventional GWAS cannot identify any significant locus. Collectively, our results highlight the integral role of adaptive immune responses in explaining the associations between genotype and phenotype.
A distributed photovoltaic short‐term power forecasting model based on lightweight AI for edge computing in low‐voltage distribution network
Authors: Fan Yuanliang , Wu Han , Lin Jianli , Li Zewen , Li Lingfei , Huang Xinghua , Chen Weiming , Zhao Jian 
Published: October 2024

AbstractRecent years, the tremendous number of distributed photovoltaic are integrated into low‐voltage distribution network, generating a significant amount of operational data. The centralized cloud data centre is unable to process the massive data precisely and promptly. Therefore, the operational status of distributed photovoltaic systems in low‐voltage distribution network becomes difficult to predict. However, edge computing in the distribution network enable local processing of data to improve the real‐time and reliability of the forecasting service. In this regard, this paper proposes a distributed photovoltaic short‐term power forecasting model based on lightweight AI algorithms. Firstly, based on the Pearson correlation coefficient method, an analysis is conducted on the historical operational data in the network to extract important meteorological features that are correlated with the photovoltaic power output. Secondly, a distributed photovoltaic power forecasting model for the distribution network is constructed based on the Xception and attention mechanism. Finally, the model is trained using pruning, which involves removing redundant parts of the model, resulting in a compact and efficient forecasting model. By conducting validation on real‐world datasets, the results demonstrate that the model presented in this article possesses a smaller size and higher forecasting accuracy compared to other state‐of‐the‐art forecasting models.
Unveiling sociotherapists’ coping resources: exploring professional experiences through thematic analysis
Authors: Jankowiak Barbara , Soroko Emilia , Pietrzak Sebastian , Wilk Maciej 
Published: October 2024

AbstractSociotherapy is a widely used form of psychological and pedagogical group help for children and adolescents in Poland. However, it is still unknown under this name, which causes its marginalization in scientific research. Knowing that sociotherapists face myriad challenges in working with individuals, groups, and systemic challenges, we decided to examine the coping strategies that led them to successful outcomes while working with adolescents. We conducted in-depth interviews with 22 sociotherapists (aged 28–60), asking them to share narratives of difficulties they overcame at work. We analyzed the resulting statements about the subjects’ experience using reflective thematic analysis. We created the following themes, which reflect the structure of resources (themes), mobilized by the sociotherapists: (1) “I can rely on other professionals”; (2) “I am ready to work on and with myself”; (3) “I am ready to be a container for their feelings”; (4) “I need to take action!”; 5) “But I’m a sociotherapist, and I have a mission!”. Findings show that coping with challenges involves seeking support from professionals and acknowledging personal growth in the work environment. Supervision and crisis intervention policies may become vital resources for sociotherapists. Broader access to societies can strengthen their professional role and foster a community-supported principle of good practice in sociotherapy.
Twice daily allied health rehabilitation is feasible in acutely hospitalised older people: an observational study
Authors: Kay J. E. , D’Souza A. N. , Klaic M. , Jacob A. N. , Marston C. , Goonan R. , Crowley H. , Granger C. L. 
Published: October 2024

Objective To evaluate the feasibility of twice daily rehabilitation in older patients admitted to an acute care of the elderly (ACE) hospital ward. Method This was a prospective single-site, cohort study of twice daily interventions provided by ACE physiotherapists, occupational therapists and/or allied health assistants in an ACE hospital ward. The feasibility of twice daily therapy was evaluated using a range of outcomes including satisfaction, fidelity and limited efficacy. Results A total of 220 patients were included (median age 86 [IQR 81–91] years, 54% female, with a median length of hospital stay of 7 [IQR 5–10] days). Twice daily therapy was delivered on 71% (n = 757) of patient admitted weekdays (fidelity). Moderate-to-large effect sizes were observed in patient functional and mobility measures during their hospital stay and most patients (74%) were able to be successfully discharged home (limited efficacy). Both staff and patients reported high levels of satisfaction with physiotherapy and occupational therapy while on the ACE ward. Conclusion Twice daily therapy with acutely hospitalised elderly patients is feasible, facilitated discharge home, and is associated with high patient and staff satisfaction.
A theoretical framework for predicting the heterogeneous stiffness map of brain white matter tissue
Authors: Chavoshnejad Poorya , Li Guangfa , Solhtalab Akbar , Liu Dehao , Razavi Mir Jalil 
Published: October 2024

Abstract
Finding the stiffness map of biological tissues is of great importance in evaluating their healthy or pathological conditions. However, due to the heterogeneity and anisotropy of biological fibrous tissues, this task presents challenges and significant uncertainty when characterized only by single-mode loading experiments. In this study, we propose a new theoretical framework to map the stiffness landscape of fibrous tissues, specifically focusing on brain white matter tissue. Initially, a finite element (FE) model of the fibrous tissue was subjected to six loading cases, and their corresponding stress–strain curves were characterized. By employing multiobjective optimization, the material constants of an equivalent anisotropic material model were inversely extracted to best fit all six loading modes simultaneously. Subsequently, large-scale FE simulations were conducted, incorporating various fiber volume fractions and orientations, to train a convolutional neural network capable of predicting the equivalent anisotropic material properties solely based on the fibrous architecture of any given tissue. The proposed method, leveraging brain fiber tractography, was applied to a localized volume of white matter, demonstrating its effectiveness in precisely mapping the anisotropic behavior of fibrous tissue. In the long-term, the proposed method may find applications in traumatic brain injury, brain folding studies, and neurodegenerative diseases, where accurately capturing the material behavior of the tissue is crucial for simulations and experiments.
Study on the electromagnetic wave absorption performance of dual-loss type composite MWCNT/CIP/GF/EP
Authors: Wen Xianglong , Chen Wei , Chen Kai , Wang Guangqian , Song Chunsheng , Zhang Jinguang 
Published: October 2024

Abstract
The electromagnetic properties of single-loss glass fiber (GF) absorbing composites with the addition of multi-walled carbon nanotube (MWCNT) particles and single-loss GF absorbing composites with the addition of carbonyl iron powder (CIP) particles in the X-band were studied. Using CST electromagnetic simulation combined with experiments, dual-loss MWCNT/CIP/GF/epoxy resin absorbing composites were designed and prepared. The effects of thickness ratio and periodic layering on the absorbing properties of dual-loss GF absorbing composites were investigated. The results show that by changing the thickness ratio and periodic layering, the impedance matching and attenuation characteristics of the dual-loss GF absorbing composites can be altered, thereby affecting the overall absorbing performance. The optimal group exhibited a maximum reflection loss of −55.3 dB at 8.5 GHz, with an effective absorption bandwidth of 3.0 GHz, covering 71.4% of the X-band.
Optimization of high performance hybrid composite under ballistic test and performance of the hybrid composite under IED blast
Authors: Khuntia Sravan Kumar , Suresh Kumbhar Avinash , Joshi Jithin , Sudheendra K , Govindaraju M , Bhowmik Shantanu 
Published: October 2024

Abstract
In this investigation a novel material has been developed comprising of Silicon Carbide (ceramic), Aluminium honeycomb (metal) and Poly Ether Ketone (PEK)—Poly Phynelene Benzobisoxaole (PBO) fiber based blast proof composite. The experimental results proved that this polymeric composite is highly suitable for 9 mm pistol bullet with 430 m s−1 at distance of 5 m as well as for improvised explosive devices blast to absorb the sharpnels/splinters. This investigation also highlights an efficient back layer for a blast-proof sandwich composite. Layer optimization was carried out by finite element method (FEM) analysis of blast effect on the multi-layer polymer composite panel by ANSYS Explicit Dynamics (LS DYNA Solver). The resultant optimal layers of PEK-PBO composites then tested to validate results of FEM analysis. Experimentally it is proved that polymeric composite with 10 layers of PBO fabric when test fired under 9 mm pistol bullet with 430 m s–1 at distance of 5 m, the bullet penetrates, however, when the polymeric composite is made with a total of 20 layers of PEK-PBO fabric, all the test fired bullets are stopped. Therefore, under SNANAG 4569 blast test, the polymeric composite was essentially made with 20 layers of PBO fabric and it is experimentally proved that PEK-PBO composite is highly efficient as the back layer of hybrid composite and all the sharpnels of IED blast are completely absorbed.
Fabrication and development of mechanical metamaterials via additive manufacturing for biomedical applications: a review
Authors: Chen Junsheng , Chen Jibing , Wang Hongze , He Liang , Huang Boyang , Dadbakhsh Sasan , Bartolo Paulo 
Published: October 2024

Abstract
In this review, we propose a comprehensive overview of additive manufacturing (AM) technologies and design possibilities in manufacturing metamaterials for various applications in the biomedical field, of which many are inspired by nature itself. It describes how new AM technologies (e.g. continuous liquid interface production and multiphoton polymerization, etc) and recent developments in more mature AM technologies (e.g. powder bed fusion, stereolithography, and extrusion-based bioprinting (EBB), etc) lead to more precise, efficient, and personalized biomedical components. EBB is a revolutionary topic creating intricate models with remarkable mechanical compatibility of metamaterials, for instance, stress elimination for tissue engineering and regenerative medicine, negative or zero Poisson’s ratio. By exploiting the designs of porous structures (e.g. truss, triply periodic minimal surface, plant/animal-inspired, and functionally graded lattices, etc), AM-made bioactive bone implants, artificial tissues, and organs are made for tissue replacement. The material palette of the AM metamaterials has high diversity nowadays, ranging from alloys and metals (e.g. cobalt–chromium alloys and titanium, etc) to polymers (e.g. biodegradable polycaprolactone and polymethyl methacrylate, etc), which could be even integrated within bioactive ceramics. These advancements are driving the progress of the biomedical field, improving human health and quality of life.
Are All Welfare Ranges the Same?
Authors: Timmerman Travis 
Published: October 2024

Abstract
This chapter explores Tatjana Višak’s arguments for the claim that all animals have the same welfare ranges. It starts by defining capacity for welfare and reviews some theoretical considerations that bear on this question. Next, Višak’s empirically informed, theoretical arguments for the claim that all animals have the same welfare ranges are reviewed. Her arguments rely on the idea that relativized accounts of well-being are the most plausible accounts and appeal to a certain view about the evolutionary explanation of hedonic capacities. It’s then argued that relativized accounts of well-being are implausible because (i) they generate absurd conclusions and (ii) cannot plausibly be extended to account for animals’ total well-being. The paper ends by reviewing Višak’s evolutionary explanation of hedonic capacities and argues that the descriptive features of evolution she discusses do not provide evidence of equal hedonic capacities across taxa. In fact, given the way that evolution works, it would be very surprising if that turned out to be true. Consequently, Višak’s arguments fail to establish their conclusion.
Differences in the Intensity of Valenced Experience across Species
Authors: Schukraft Jason , Barrett Meghan , Schnell Alex , Trevarthen Anna , Fischer Bob 
Published: October 2024

Abstract
We do not have direct interspecies measures of the intensity of valenced experiences. Still, we can explore some factors that might affect animals’ welfare ranges. This chapter explores those factors and, ultimately, explains why we have to rely on indirect proxies for variation. First, we consider what theoretical evolutionary biology can tell us about the function of valenced experience. Next, we explore how different aspects of intellectual and emotional complexity might affect the characteristic intensity of valenced experience. Finally, we explore potential neurobiological, behavioral, and physiological markers of the intensity of valenced experience in human and nonhuman animals.