bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spontaneous attribution of underspecified belief of social partners facilitates processing shared information
Authors: Hegedüs Andrea Márta , Király Ildikó 
Published: September 2022

AbstractThe main question of Theory of Mind research is not only how we represent others’ mental states, but also how these representations influence our first-person interaction with our surrounding environment. A novel theory of belief files proposes that we should think about belief tracking as an online, spontaneous, and effortless mechanism giving rise to structured representations, thus easing the use of beliefs in behavior selection. Beliefs are formed by two different sub mechanisms: (1) opening an empty placeholder belief file, for a particular intentional agent, and (2) filling it up with mental content attributed to the agent. This theory opens the possibility of exploiting theory of mind abilities even in situations when we can attribute only underspecified mental contents to others. The goal of the present study was to provide a proof of concept test: whether spontaneous belief tracking starts effortlessly even when we do not know a partner’s actual belief content. We created an object detection paradigm, where the visual access of a virtual agent to the object to be detected by the participant was manipulated. The agent getting access to the information for processing always preceded the participant getting access to it, resulting in the need of attributing belief without specified content in it. Our results have shown that participants detected the object with a reduced reaction time when the observed agent had visual access to the object’s expected place compared to when the participant watched the same scenario, but the object’s location remained occluded for the observed agent and thus was revealed only for the participant. This suggests that the information processing of humans speeds up when another agent has access to a piece of information as well. Thus, we do track agents’ potential beliefs without knowing its actual content. This study contributes to our understanding of the effect of spontaneous computation of others’ mental states on first-person information processing.
Three-dimensional visualization of cerebral blood vessels and neural changes in thick ischemic rat brain slices using tissue clearing
Authors: Lee Eun-Joo , Hong Sung-Kuk , Choi Dong-Hwa , Gum Sang-Il , Hwang Mee Yul , Kim Dong Sun , Oh Ji Won , Lee Eun-Shil 
Published: September 2022

AbstractBlood vessels are three-dimensional (3D) in structure and precisely connected. Conventional histological methods are unsuitable for their analysis because of the destruction of functionally important topological 3D vascular structures. Tissue optical clearing techniques enable extensive volume imaging and data analysis without destroying tissue. This study therefore applied a tissue clearing technique to acquire high-resolution 3D images of rat brain vasculature using light-sheet and confocal microscopies. Rats underwent middle cerebral artery occlusion for 45 min followed by 24 h reperfusion with lectin injected directly into the heart for vascular staining. For acquiring 3D images of rat brain vasculature, 3-mm-thick brain slices were reconstructed using tissue clearing and light-sheet microscopy. Subsequently, after 3D rendering, the fitting of blood vessels to a filament model was used for analysis. The results revealed a significant reduction in vessel diameter and density in the ischemic region compared to those in contralesional non-ischemic regions. Immunostaining of 0.5-mm-thick brain slices revealed considerable neuronal loss and increased astrocyte fluorescence intensity in the ipsilateral region. Thus, these methods can provide more accurate data by broadening the scope of the analyzed regions of interest for examining the 3D cerebrovascular system and neuronal changes occurring in various brain disorders.
Combining synchrotron radiation techniques for the analysis of gold coins from the Roman Empire
Authors: Carlomagno I. , Zeller P. , Amati M. , Aquilanti G. , Prenesti E. , Marussi G. , Crosera M. , Adami G. 
Published: September 2022

AbstractFour gold coins minted in the V century have been studied with non-destructive synchrotron radiation techniques, namely X-Ray Fluorescence (XRF) and X-ray Absorption Near Edge Spectroscopy (XANES). XRF data analyzed coupling standard and statistical methods were used to distinguish the composition of the alloy constituting the coins from that of successive deposits processes. Our analysis presents a quantification of the trace elements present in the metallic alloy providing interesting details for historical insight. Furthermore, on the basis of the XRF maps, some regions of interest were selected for XANES at the K-edge of Fe. Our analysis of the Fe spectra points out two main phases which can be related to Fe oxides naturally present in soil. From the relative abundance of these oxides, information on the site where the coins were found can be obtained, providing additional information on their fate across the centuries.
Peptidomimetics designed to bind to RAS effector domain are promising cancer therapeutic compounds
Authors: Pallara Chiara , Cabot Debora , Rivas Josep , Brun Sonia , Seco Jesús , Abuasaker Baraa , Tarragó Teresa , Jaumot Montserrat , Prades Roger , Agell Neus 
Published: September 2022

AbstractOncogenic RAS proteins are important for driving tumour formation, and for maintenance of the transformed phenotype, and thus their relevance as a cancer therapeutic target is undeniable. We focused here on obtaining peptidomimetics, which have good pharmacological properties, to block Ras–effector interaction. Computational analysis was used to identify hot spots of RAS relevant for these interactions and to screen a library of peptidomimetics. Nine compounds were synthesized and assayed for their activity as RAS inhibitors in cultured cells. Most of them induced a reduction in ERK and AKT activation by EGF, a marker of RAS activity. The most potent inhibitor disrupted Raf and PI3K interaction with oncogenic KRAS, corroborating its mechanism of action as an inhibitor of protein–protein interactions, and thus validating our computational methodology. Most interestingly, improvement of one of the compounds allowed us to obtain a peptidomimetic that decreased the survival of pancreatic cancer cell lines harbouring oncogenic KRAS.
A machine learning-based SNP-set analysis approach for identifying disease-associated susceptibility loci
Authors: Silva Princess P. , Gaudillo Joverlyn D. , Vilela Julianne A. , Roxas-Villanueva Ranzivelle Marianne L. , Tiangco Beatrice J. , Domingo Mario R. , Albia Jason R. 
Published: September 2022

AbstractIdentifying disease-associated susceptibility loci is one of the most pressing and crucial challenges in modeling complex diseases. Existing approaches to biomarker discovery are subject to several limitations including underpowered detection, neglect for variant interactions, and restrictive dependence on prior biological knowledge. Addressing these challenges necessitates more ingenious ways of approaching the “missing heritability” problem. This study aims to discover disease-associated susceptibility loci by augmenting previous genome-wide association study (GWAS) using the integration of random forest and cluster analysis. The proposed integrated framework is applied to a hepatitis B virus surface antigen (HBsAg) seroclearance GWAS data. Multiple cluster analyses were performed on (1) single nucleotide polymorphisms (SNPs) considered significant by GWAS and (2) SNPs with the highest feature importance scores obtained using random forest. The resulting SNP-sets from the cluster analyses were subsequently tested for trait-association. Three susceptibility loci possibly associated with HBsAg seroclearance were identified: (1) SNP rs2399971, (2) gene LINC00578, and (3) locus 11p15. SNP rs2399971 is a biomarker reported in the literature to be significantly associated with HBsAg seroclearance in patients who had received antiviral treatment. The latter two loci are linked with diseases influenced by the presence of hepatitis B virus infection. These findings demonstrate the potential of the proposed integrated framework in identifying disease-associated susceptibility loci. With further validation, results herein could aid in better understanding complex disease etiologies and provide inputs for a more advanced disease risk assessment for patients.
Differences in clinical characteristics of cervical spine injuries in older adults by external causes: a multicenter study of 1512 cases
Authors: Yokogawa Noriaki , Kato Satoshi , Sasagawa Takeshi , Hayashi Hiroyuki , Tsuchiya Hiroyuki , Ando Kei , Nakashima Hiroaki , Segi Naoki , Funayama Toru , Eto Fumihiko , Yamaji Akihiro , Nori Satoshi , Yamane Junichi , Furuya Takeo , Yunde Atsushi , Nakajima Hideaki , Yamada Tomohiro , Hasegawa Tomohiko , Terashima Yoshinori , Hirota Ryosuke , Suzuki Hidenori , Imajo Yasuaki , Ikegami Shota , Uehara Masashi , Tonomura Hitoshi , Sakata Munehiro , Hashimoto Ko , Onoda Yoshito , Kawaguchi Kenichi , Haruta Yohei , Suzuki Nobuyuki , Kato Kenji , Uei Hiroshi , Sawada Hirokatsu , Nakanishi Kazuo , Misaki Kosuke , Terai Hidetomi , Tamai Koji , Shirasawa Eiki , Inoue Gen , Kakutani Kenichiro , Kakiuchi Yuji , Kiyasu Katsuhito , Tominaga Hiroyuki , Tokumoto Hiroto , Iizuka Yoichi , Takasawa Eiji , Akeda Koji , Takegami Norihiko , Funao Haruki , Oshima Yasushi , Kaito Takashi , Sakai Daisuke , Yoshii Toshitaka , Ohba Tetsuro , Otsuki Bungo , Seki Shoji , Miyazaki Masashi , Ishihara Masayuki , Okada Seiji , Imagama Shiro , Watanabe Kota 
Published: September 2022

AbstractAlthough traumatic cervical spine injuries in older adults are commonly caused by minor traumas, such as ground-level falls, their prognosis is often unfavorable. Studies examining the clinical characteristics of cervical spine injuries in older adults according to the external cause of injury are lacking. This study included 1512 patients of ≥ 65 years of age with traumatic cervical spine injuries registered in a Japanese nationwide multicenter database. The relationship between the external causes and clinical characteristics, as well as factors causing unfavorable outcomes at the ground-level falls, were retrospectively reviewed and examined. When fall-induced cervical spine injuries were categorized and compared based on fall height, the patients’ backgrounds and injury statuses differed significantly. Of note, patients injured from ground-level falls tended to have poorer pre-injury health conditions, such as medical comorbidities and frailty, compared with those who fell from higher heights. For ground-level falls, the mortality, walking independence, and home-discharge rates at 6 months post-injury were 9%, 67%, and 80%, respectively, with preexisting medical comorbidities and frailty associated with unfavorable outcomes, independent of age or severity of neurological impairment at the time of injury.
Geochemical variability as an indicator for large magnitude eruptions in volcanic arcs
Authors: Weber Gregor , Sheldrake Tom E. 
Published: September 2022

AbstractCaldera-forming eruptions have the potential to induce drastic socioeconomic change. However, the criteria to identify volcanoes capable of producing large magnitude eruptions in the future are not well constrained. Here we compile and analyse data, revealing that volcanoes which have produced catastrophic caldera-forming eruptions in the past, show larger ranges of erupted magma geochemistry compared to those that have not. This suggests geochemical variability is related to the size of magmatic systems. Using heat transfer simulations, we show that differences in magma flux result in a dependency between chemical diversity and magma volume that is consistent with these observations. We conclude that compositional spread should be included in the catalogue of criteria to identify volcanoes with greater probability of producing future large eruptions. Importantly, this allows to identify stratovolcanoes with caldera-like geochemical signatures, which have not yet been recognized as systems with greater likelihood of producing large magnitude eruptions.
Impacts of climate change and human activities on different degraded grassland based on NDVI
Authors: Hou Qingqing , Ji Zhenxia , Yang Hang , Yu Xiaojun 
Published: September 2022

AbstractGrassland degradation has emerged as a serious socio-economic and ecological problem, endangering both long-term usage and the regional biogeochemical cycle. Climate change and human activities are the two leading factors leading to grassland degradation. However, it is unclear what the degradation level caused by these two factors is. Using the normalized difference vegetation index (NDVI) and coefficient of variation of NDVI (CVNDVI), the spatial distribution features of grassland degradation or restoration were analyzed in Qilian County in the northeast of the Qinghai–Tibet Plateau. The dominant climate variables affecting NDVI variation were selected through the combination of random forest model and stepwise regression method to improve the residual trend analysis, and on this basis, twelve possible scenarios were established to evaluate the driving factors of different degraded grasslands. Finally, used the Hurst index to forecast the trend of grassland degradation or restoration. The results showed that approximately 55.0% of the grassland had been degraded between 2000 and 2019, and the area of slight degradation (NDVIslope > 0; CVNDVI (slope) > 0; NDVIvalue > 0.2) accounted for 48.6%. These regions were centered in the northwest of Qilian County. Climate and human activities had a joint impact on grassland restoration or degradation. Human activities played a leading role in grassland restoration, while climate change was primarily a driver of grassland degradation. The regions with slight degradation or re-growing (NDVIslope > 0; CVNDVI (slope) > 0), moderate degradation (NDVIslope < 0; CVNDVI (slope) > 0), and severe degradation or desertification (NDVIslope < 0; CVNDVI (slope) < 0) were dominated by the joint effects of climate and anthropogenic activity accounted for 34.3%, 3.3%, and 1.3%, respectively, of the total grassland area. Grasslands in most areas of Qilian County are forecasted to continue to degrade, including the previously degraded areas, with continuous degradation areas accounting for 54.78%. Accurately identifying the driving factors of different degraded grassland and predicting the dynamic change trend of grassland in the future is the key to understand the mechanism of grassland degradation and prevent grassland degradation. The findings offer a reference for accurately identifying the driving forces in grassland degradation, as well as providing a scientific basis for the policy-making of grassland ecological management.
The prevalence of osteoporosis in rheumatoid arthritis patient: a systematic review and meta-analysis
Authors: Moshayedi Samaneh , Tasorian Baharak , Almasi-Hashiani Amir 
Published: September 2022

AbstractOsteoporosis (OP) is one of the most commonly known extra-articular complications of rheumatoid arthritis (RA). Since the prevalence of OP is diverse in different studies and there is no general consensus about it, in this systematic review, we aimed to investigate the global prevalence of OP among RA patients. In this review, three databases including Medline via PubMed, Scopus, and Web of Science (Clarivate analytics) were searched by various keywords. After screening of retrieved papers, the related data of included papers were extracted and analyzed. To assess the risk of methodological bias of included studies, quality assessment checklist for prevalence studies was used. Because of heterogeneity among studies, random-effect model was used to pooled the results of primary studies. In this review, the results of 57 studies were summarized and the total included sample size was 227,812 cases of RA with 64,290 cases of OP. The summary point prevalence of OP among RA was estimated as 27.6% (95%CI 23.9–31.3%). Despite significant advances in prevention, treatment and diagnostic methods in these patients, it still seems that the prevalence of OP in these patients is high and requires better and more timely interventions.
Modifications to the net knee moments lead to the greatest improvements in accelerative sprinting performance: a predictive simulation study
Authors: Haralabidis Nicos , Colyer Steffi L. , Serrancolí Gil , Salo Aki I. T. , Cazzola Dario 
Published: September 2022

AbstractThe current body of sprinting biomechanics literature together with the front-side mechanics coaching framework provide various technique recommendations for improving performance. However, few studies have attempted to systematically explore technique modifications from a performance enhancement perspective. The aims of this investigation were therefore to explore how hypothetical technique modifications affect accelerative sprinting performance and assess whether the hypothetical modifications support the front-side mechanics coaching framework. A three-dimensional musculoskeletal model scaled to an international male sprinter was used in combination with direct collocation optimal control to perform (data-tracking and predictive) simulations of the preliminary steps of accelerative sprinting. The predictive simulations differed in the net joint moments that were left ‘free’ to change. It was found that the ‘knee-free’ and ‘knee-hip-free’ simulations resulted in the greatest performance improvements (13.8% and 21.9%, respectively), due to a greater knee flexor moment around touchdown (e.g., 141.2 vs. 70.5 Nm) and a delayed and greater knee extensor moment during stance (e.g., 188.5 vs. 137.5 Nm). Lastly, the predictive simulations which led to the greatest improvements were also found to not exhibit clear and noticeable front-side mechanics technique, thus the underpinning principles of the coaching framework may not be the only key aspect governing accelerative sprinting.
Ragweed pollen concentration predicts seasonal rhino-conjunctivitis and asthma severity in patients allergic to ragweed
Authors: Bonini Maira , Monti Gianna Serafina , Pelagatti Matteo Maria , Ceriotti Valentina , Re Elisabetta Elena , Bramè Barbara , Bottero Paolo , Tosi Anna , Vaghi Adriano , Martelli Alberto , Traina Giovanni Maria , Rivolta Loredana , Rivolta Federica , Ortolani Claudio Maria 
Published: September 2022

AbstractIn this work, we investigate the correlation between ragweed pollen concentration and conjunctival, nasal, and asthma symptom severity in patients allergic to ragweed pollen using ambient pollen exposure in the Milan area during the 2014 ragweed season We calculate the pollen/symptom thresholds and we assess the effectiveness of ragweed allergen immunotherapy (AIT). A total of 66 participants allergic to ragweed (Amb a 1) were enrolled in the study and divided into two groups: AIT treated (24) and no AIT treated (42). Pollen counts and daily symptom/medication patient diaries were kept. Autoregressive distributed lag models were used to develop predictive models of daily symptoms and evaluate the short-term effects of temporal variations in pollen concentration on the onset of symptoms. We found significant correlations between ragweed pollen load and the intensity of symptoms for all three symptom categories, both in no AIT treated (τ = 0.341, 0.352, and 0.721; and ρ = 0.48, 0.432, and 0.881; p-value < 0.001) and in AIT treated patients ($$\tau$$
τ
= 0.46, 0.610, and 0.66; and ρ = 0.692, 0.805, and 0.824; p-value < 0.001). In both groups, we observed a positive correlation between the number of symptoms reported and drug use. Mean symptom levels were significantly higher in no AIT treated than in AIT treated patients (p-value < 0.001) for all symptom categories. Pollen concentration thresholds for the four symptom severity levels (low, medium–low, medium–high and high) were calculated. Ragweed pollen concentration is predictive of symptom severity in patients with a ragweed (Amb a 1) allergy. Patients treated with AIT had significantly reduced mean symptom levels compared to those without AIT.
Navigating the impact of workplace distractions for persons with TBI: a qualitative descriptive study
Authors: Pinnow DeAnna , Causey-Upton Renee , Meulenbroek Peter 
Published: September 2022

AbstractPersons with traumatic brain injuries (TBIs) who return to work often struggle with managing environmental distractions due to residual cognitive impairments. Previous literature has established that environmental distractions impact persons with TBI, yet, the extent to which distractions impact workplace performance is unknown. This qualitative descriptive study using phenomenology methods, explored the experiences of seven individuals with TBIs and how they perceived workplace distractions to impact their productivity. Data was collected using semi-structured interviews with seven participants who were diagnosed with mild, moderate, and severe TBIs. Interviews were transcribed and analyzed using thematic analysis. Main findings centered around what environmental distractions impacted work performance, the farther-reaching consequences of distractibility, strong emotional feelings and worry about perceived work performance associated with distractibility, mitigating distractibility through “gaming the attentional system”, and utilizing music as a distraction masker to enhance task performance. In light of this study’s findings, researchers, and clinicians are encouraged to consider the wider impact of distractions on persons with TBI. The real-life accounts documented in this study will assist researchers and clinicians to account for the impact of environmental distractions in rehabilitation and support employment for persons with TBI.
The role and contribution of magnetic fields, characterized via their magnetic flux, to the statistical structuring of the solar atmosphere
Authors: Li K. J. , Xu J. C. , Feng W. 
Published: September 2022

AbstractThe anomalous heating of the solar upper atmosphere is one of the eight key problems in modern astronomy. Moreover, the stratification of the solar atmosphere is an outstanding key-problem in solar physics. In this study, a hot butterfly-like pattern is found to run through the chromosphere to the corona lying right on top of the magnetic butterfly pattern of sunspots in the photosphere. We thus propose to introduce the term butterfly body to describe the butterfly diagram in the 3-dimensional atmosphere. Besides, we discuss the so-called polar brightening in different layers. It is found to be statistically in anti-phase with the solar cycle in the photosphere and the chromosphere, while in phase with the solar cycle in the corona. Accordingly, we describe the role and relationship of solar magnetic elements of different magnetic flux strengths to explain the statistical structuring of the solar atmosphere with the butterfly body over the solar cycle.