bluuebunny/crossref_metadata_2025_split huggingface dataset:
Data-driven clustering of combined Functional Motor Disorders based on the Italian registry
Authors: Mostile Giovanni , Geroin Christian , Erro Roberto , Luca Antonina , Marcuzzo Enrico , Barone Paolo , Ceravolo Roberto , Mazzucchi Sonia , Pilotto Andrea , Padovani Alessandro , Romito Luigi Michele , Eleopra Roberto , Dallocchio Carlo , Arbasino Carla , Bono Francesco , Bruno Pietro Antonio , Demartini Benedetta , Gambini Orsola , Modugno Nicola , Olivola Enrica , Bonanni Laura , Albanese Alberto , Ferrazzano Gina , De Micco Rosa , Zibetti Maurizio , Calandra-Buonaura Giovanna , Petracca Martina , Morgante Francesca , Esposito Marcello , Pisani Antonio , Manganotti Paolo , Stocchi Fabrizio , Coletti Moja Mario , Di Vico Ilaria Antonella , Tesolin Lucia , De Bertoldi Francesco , Ercoli Tommaso , Defazio Giovanni , Zappia Mario , Nicoletti Alessandra , Tinazzi Michele 
Published: November 2022

IntroductionFunctional Motor Disorders (FMDs) represent nosological entities with no clear phenotypic characterization, especially in patients with multiple (combined FMDs) motor manifestations. A data-driven approach using cluster analysis of clinical data has been proposed as an analytic method to obtain non-hierarchical unbiased classifications. The study aimed to identify clinical subtypes of combined FMDs using a data-driven approach to overcome possible limits related to “a priori” classifications and clinical overlapping.MethodsData were obtained by the Italian Registry of Functional Motor Disorders. Patients identified with multiple or “combined” FMDs by standardized clinical assessments were selected to be analyzed. Non-hierarchical cluster analysis was performed based on FMDs phenomenology. Multivariate analysis was then performed after adjustment for principal confounding variables.ResultsFrom a study population of n = 410 subjects with FMDs, we selected n = 188 subjects [women: 133 (70.7%); age: 47.9 ± 14.4 years; disease duration: 6.4 ± 7.7 years] presenting combined FMDs to be analyzed. Based on motor phenotype, two independent clusters were identified: Cluster C1 (n = 82; 43.6%) and Cluster C2 (n = 106; 56.4%). Cluster C1 was characterized by functional tremor plus parkinsonism as the main clinical phenotype. Cluster C2 mainly included subjects with functional weakness. Cluster C1 included older subjects suffering from anxiety who were more treated with botulinum toxin and antiepileptics. Cluster C2 included younger subjects referring to different associated symptoms, such as pain, headache, and visual disturbances, who were more treated with antidepressants.ConclusionUsing a data-driven approach of clinical data from the Italian registry, we differentiated clinical subtypes among combined FMDs to be validated by prospective studies.
Therapist reactions to patient personality: A pilot study of clinicians’ emotional and neural responses using three clinical vignettes from in treatment series
Authors: Tanzilli Annalisa , Trentini Cristina , Grecucci Alessandro , Carone Nicola , Ciacchella Chiara , Lai Carlo , Sabogal-Rueda Miguel David , Lingiardi Vittorio 
Published: November 2022

IntroductionTherapists’ responses to patients play a crucial role in psychotherapy and are considered a key component of the patient–clinician relationship, which promotes successful treatment outcomes. To date, no empirical research has ever investigated therapist response patterns to patients with different personality disorders from a neuroscience perspective.MethodsIn the present study, psychodynamic therapists (N = 14) were asked to complete a battery of instruments (including the Therapist Response Questionnaire) after watching three videos showing clinical interactions between a therapist and three patients with narcissistic, histrionic/borderline, and depressive personality disorders, respectively. Subsequently, participants’ high-density electroencephalography (hdEEG) was recorded as they passively viewed pictures of the patients’ faces, which were selected from the still images of the previously shown videos. Supervised machine learning (ML) was used to evaluate whether: (1) therapists’ responses predicted which patient they observed during the EEG task and whether specific clinician reactions were involved in distinguishing between patients with different personality disorders (using pairwise comparisons); and (2) therapists’ event-related potentials (ERPs) predicted which patient they observed during the laboratory experiment and whether distinct ERP components allowed this forecast.ResultsThe results indicated that therapists showed distinct patterns of criticized/devalued and sexualized reactions to visual depictions of patients with different personality disorders, at statistically systematic and clinically meaningful levels. Moreover, therapists’ late positive potentials (LPPs) in the hippocampus were able to determine which patient they observed during the EEG task, with high accuracy.DiscussionThese results, albeit preliminary, shed light on the role played by therapists’ memory processes in psychotherapy. Clinical and neuroscience implications of the empirical investigation of therapist responses are discussed.
Screening for Alzheimer's disease using prefrontal resting-state functional near-infrared spectroscopy
Authors: Keles Hasan Onur , Karakulak Ece Zeynep , Hanoglu Lutfu , Omurtag Ahmet 
Published: November 2022

IntroductionAlzheimer's disease (AD) is neurodegenerative dementia that causes neurovascular dysfunction and cognitive impairment. Currently, 50 million people live with dementia worldwide, and there are nearly 10 million new cases every year. There is a need for relatively less costly and more objective methods of screening and early diagnosis.MethodsFunctional near-infrared spectroscopy (fNIRS) systems are a promising solution for the early Detection of AD. For a practical clinically relevant system, a smaller number of optimally placed channels are clearly preferable. In this study, we investigated the number and locations of the best-performing fNIRS channels measuring prefrontal cortex activations. Twenty-one subjects diagnosed with AD and eighteen healthy controls were recruited for the study.ResultsWe have shown that resting-state fNIRS recordings from a small number of prefrontal locations provide a promising methodology for detecting AD and monitoring its progression. A high-density continuous-wave fNIRS system was first used to verify the relatively lower hemodynamic activity in the prefrontal cortical areas observed in patients with AD. By using the episode averaged standard deviation of the oxyhemoglobin concentration changes as features that were fed into a Support Vector Machine; we then showed that the accuracy of subsets of optical channels in predicting the presence and severity of AD was significantly above chance. The results suggest that AD can be detected with a 0.76 sensitivity score and a 0.68 specificity score while the severity of AD could be detected with a 0.75 sensitivity score and a 0.72 specificity score with ≤5 channels.DiscussionThese scores suggest that fNIRS is a viable technology for conveniently detecting and monitoring AD as well as investigating underlying mechanisms of disease progression.
A phenomenological model of proton FLASH oxygen depletion effects depending on tissue vasculature and oxygen supply
Authors: Zou Wei , Kim Haram , Diffenderfer Eric S. , Carlson David J. , Koch Cameron J. , Xiao Ying , Teo BoonKeng K. , Kim Michele M. , Metz James M. , Fan Yi , Maity Amit , Koumenis Costas , Busch Theresa M. , Wiersma Rodney , Cengel Keith A. , Dong Lei 
Published: November 2022

IntroductionRadiation-induced oxygen depletion in tissue is assumed as a contributor to the FLASH sparing effects. In this study, we simulated the heterogeneous oxygen depletion in the tissue surrounding the vessels and calculated the proton FLASH effective-dose-modifying factor (FEDMF), which could be used for biology-based treatment planning.MethodsThe dose and dose-weighted linear energy transfer (LET) of a small animal proton irradiator was simulated with Monte Carlo simulation. We deployed a parabolic partial differential equation to account for the generalized radiation oxygen depletion, tissue oxygen diffusion, and metabolic processes to investigate oxygen distribution in 1D, 2D, and 3D solution space. Dose and dose rates, particle LET, vasculature spacing, and blood oxygen supplies were considered. Using a similar framework for the hypoxic reduction factor (HRF) developed previously, the FEDMF was derived as the ratio of the cumulative normoxic-equivalent dose (CNED) between CONV and UHDR deliveries.ResultsDynamic equilibrium between oxygen diffusion and tissue metabolism can result in tissue hypoxia. The hypoxic region displayed enhanced radio-resistance and resulted in lower CNED under UHDR deliveries. In 1D solution, comparing 15 Gy proton dose delivered at CONV 0.5 and UHDR 125 Gy/s, 61.5% of the tissue exhibited ≥20% FEDMF at 175 μm vasculature spacing and 18.9 μM boundary condition. This percentage reduced to 34.5% and 0% for 8 and 2 Gy deliveries, respectively. Similar trends were observed in the 3D solution space. The FLASH versus CONV differential effect remained at larger vasculature spacings. A higher FLASH dose rate showed an increased region with ≥20% FEDMF. A higher LET near the proton Bragg peak region did not appear to alter the FLASH effect.ConclusionWe developed 1D, 2D, and 3D oxygen depletion simulation process to obtain the dynamic HRF and derive the proton FEDMF related to the dose delivery parameters and the local tissue vasculature information. The phenomenological model can be used to simulate or predict FLASH effects based on tissue vasculature and oxygen concentration data obtained from other experiments.
Development of a breast cancer case management information platform (BC-CMIP) module based on patient-perceived value
Authors: Liang Yinyin , Gao Yan , Yin Guobing , Chen Wenjun , Gan Xiuni 
Published: November 2022

ObjectiveTo construct a content module for a breast cancer case management information platform (BC-CMIP) based on patient-perceived value (PPV).MethodsA questionnaire was used to investigate the service needs of breast cancer patients and their families for the information platform. Based on the value dimensions of PPV, the module content of the BC-CMIP was initially constructed, and the Delphi method was used to justify and revise the module content. Excel 2019 and SPSS 26.0 were used for statistical analysis.ResultsThe information platform includes the patient side and the medical side. The index content includes four primary indicators: functional value, emotional value, efficiency value and social value; it can realize all patient case management needs, such as diagnosis and treatment services, health education, telemedicine, treatment tracking, psychological support, case assessment and positive warning.ConclusionBased on the PPV, the module design of the BC-CMIP is reasonable and comprehensive, and it can scientifically and effectively meet the health needs of patients and provide a theoretical basis for subsequent platform development and application.
High grade glioma radiation therapy on a high field 1.5 Tesla MR-Linac - workflow and initial experience with daily adapt-to-position (ATP) MR guidance: A first report
Authors: Tseng Chia-Lin , Chen Hanbo , Stewart James , Lau Angus Z. , Chan Rachel W. , Lawrence Liam S. P. , Myrehaug Sten , Soliman Hany , Detsky Jay , Lim-Fat Mary Jane , Lipsman Nir , Das Sunit , Heyn Chinthaka , Maralani Pejman J. , Binda Shawn , Perry James , Keller Brian , Stanisz Greg J. , Ruschin Mark , Sahgal Arjun 
Published: November 2022

PurposeThis study reports the workflow and initial clinical experience of high grade glioma (HGG) radiotherapy on the 1.5 T MR-Linac (MRL), with a focus on the temporal variations of the tumor and feasibility of multi-parametric image (mpMRI) acquisition during routine treatment workflow.Materials and methodsTen HGG patients treated with radiation within the first year of the MRL’s clinical operation, between October 2019 and August 2020, were identified from a prospective database. Workflow timings were recorded and online adaptive plans were generated using the Adapt-To-Position (ATP) workflow. Temporal variation within the FLAIR hyperintense region (FHR) was assessed by the relative FHR volumes (n = 281 contours) and migration distances (maximum linear displacement of the volume). Research mpMRIs were acquired on the MRL during radiation and changes in selected functional parameters were investigated within the FHR.ResultsAll patients completed radiotherapy to a median dose of 60 Gy (range, 54-60 Gy) in 30 fractions (range, 30-33), receiving a total of 287 fractions on the MRL. The mean in-room time per fraction with or without post-beam research imaging was 42.9 minutes (range, 25.0–69.0 minutes) and 37.3 minutes (range, 24.0–51.0 minutes), respectively. Three patients (30%) required re-planning between fractions 9 to 12 due to progression of tumor and/or edema identified on daily MRL imaging. At the 10, 20, and 30-day post-first fraction time points 3, 3, and 4 patients, respectively, had a FHR volume that changed by at least 20% relative to the first fraction. Research mpMRIs were successfully acquired on the MRL. The median apparent diffusion coefficient (ADC) within the FHR and the volumes of FLAIR were significantly correlated when data from all patients and time points were pooled (R=0.68, p&lt;.001).ConclusionWe report the first clinical series of HGG patients treated with radiotherapy on the MRL. The ATP workflow and treatment times were clinically acceptable, and daily online MRL imaging triggered adaptive re-planning for selected patients. Acquisition of mpMRIs was feasible on the MRL during routine treatment workflow. Prospective clinical outcomes data is anticipated from the ongoing UNITED phase 2 trial to further refine the role of MR-guided adaptive radiotherapy.
Ferroptosis-related molecular patterns reveal immune escape, inflammatory development and lipid metabolism characteristics of the tumor microenvironment in acute myeloid leukemia
Authors: Zhong Fang-Min , Yao Fang-Yi , Liu Jing , Zhang Hai-Bin , Zhang Jing , Zhang Nan , Lin Jin , Li Shu-Qi , Li Mei-Yong , Jiang Jun-Yao , Cheng Ying , Xu Shuai , Wen Wen , Yang Yu-Lin , Zhang Xue-Ru , Cheng Xue-Xin , Huang Bo , Wang Xiao-Zhong 
Published: November 2022

BackgroundAn increasing number of studies have revealed the influencing factors of ferroptosis. The influence of immune cell infiltration, inflammation development and lipid metabolism in the tumor microenvironment (TME) on the ferroptosis of tumor cells requires further research and discussion.MethodsWe explored the relationship between ferroptosis-related genes and acute myeloid leukemia (AML) from the perspective of large sample analysis and multiomics, used multiple groups to identify and verify ferroptosis-related molecular patterns, and analyzed the sensitivity to ferroptosis and the state of immune escape between different molecular pattern groups. The single-sample gene set enrichment analysis (ssGSEA) algorithm was used to quantify the phenotypes of ferroptosis-related molecular patterns in individual patients. HL-60 and THP-1 cells were treated with ferroptosis inducer RSL3 to verify the therapeutic value of targeted inhibition of GPX4.ResultsThree ferroptosis-related molecular patterns and progressively worsening phenotypes including immune activation, immune exclusion and immunosuppression were found with the two different sequencing approaches. The FSscore we constructed can quantify the development of ferroptosis-related phenotypes in individual patients. The higher the FSscore is, the worse the patient’s prognosis. The FSscore is also highly positively correlated with pathological conditions such as inflammation development, immune escape, lipid metabolism, immunotherapy resistance, and chemotherapy resistance and is negatively correlated with tumor mutation burden. Moreover, RSL3 can induce ferroptosis of AML cells by reducing the protein level of GPX4.ConclusionsThis study revealed the characteristics of immunity, inflammation, and lipid metabolism in the TME of different AML patients and differences in the sensitivity of tumor cells to ferroptosis. The FSscore can be used as a biomarker to provide a reference for the clinical evaluation of the pathological characteristics of AML patients and the design of personalized treatment plans. And GPX4 is a potential target for AML treatment.
Evaluation of genome and base editing tools in maize protoplasts
Authors: Fierlej Yannick , Jacquier Nathanaël M. A. , Guille Loïc , Just Jérémy , Montes Emilie , Richard Christelle , Loue-Manifel Jeanne , Depège-Fargeix Nathalie , Gaillard Antoine , Widiez Thomas , Rogowsky Peter M. 
Published: November 2022

IntroductionDespite its rapid worldwide adoption as an efficient mutagenesis tool, plant genome editing remains a labor-intensive process requiring often several months of in vitro culture to obtain mutant plantlets. To avoid a waste in time and money and to test, in only a few days, the efficiency of molecular constructs or novel Cas9 variants (clustered regularly interspaced short palindromic repeats (CRISPR)-associated protein 9) prior to stable transformation, rapid analysis tools are helpful.MethodsTo this end, a streamlined maize protoplast system for transient expression of CRISPR/Cas9 tools coupled to NGS (next generation sequencing) analysis and a novel bioinformatics pipeline was established.Results and discussionMutation types found with high frequency in maize leaf protoplasts had a trend to be the ones observed after stable transformation of immature maize embryos. The protoplast system also allowed to conclude that modifications of the sgRNA (single guide RNA) scaffold leave little room for improvement, that relaxed PAM (protospacer adjacent motif) sites increase the choice of target sites for genome editing, albeit with decreased frequency, and that efficient base editing in maize could be achieved for certain but not all target sites. Phenotypic analysis of base edited mutant maize plants demonstrated that the introduction of a stop codon but not the mutation of a serine predicted to be phosphorylated in the bHLH (basic helix loop helix) transcription factor ZmICEa (INDUCER OF CBF EXPRESSIONa) caused abnormal stomata, pale leaves and eventual plant death two months after sowing.
The current status and factors related to the preparation of home first-aid kits in China
Authors: Ge Pu , Zhang Jinzi , Lyu Ke , Niu Yuyao , Li Qiyu , Xiong Ping , Liu Jiaxin , Yang Yajie , Deng Yuqian , Li Xialei , Yu Wenli , Yin Mei , Sun Xinying , Han Xu , Wu Yibo 
Published: November 2022

BackgroundHome first-aid kits can play an important role when residents are injured, suddenly become seriously ill or suffer from disasters.PurposeTo explore the home first-aid kit preparedness of Chinese residents and the relationship between demographic sociological characteristics, self-efficacy, Big Five personality, health literacy and home first-aid kit preparation behavior.MethodsA cross-sectional study was conducted. Information was collected through a self-designed questionnaire consisting of sociological characteristics, the New General Self-Efficacy Scale (NGSES), the Health Literacy Scale Short-Form (HLS-SF12), and the 10-item short version of Big Five Inventory (BFI-10). Rank sum test, Chi-square test, and logistic regression were used to explore the relationship between independent variables and home first-aid kit preparation behavior.ResultsA total of 9,344 respondents were included, and 2,156 (23.07%) prepared home first-aid kits. Among the respondents who had prepared their home first-aid kits, disinfection supplies (85.20%), medical masks (84.51%), commonly used drugs (82.79%) were the most frequently available. The respondents whose geographic area was Central and Western China, permanent residence in the urban area, secondary education or above, monthly income of 3,000 RMB or above, health care cost-bearing method mainly resident health insurance, high subgroup of self-efficacy, high subgroup of health care dimension in health literacy, and whose openness and conscientiousness was high subgroup were more likely to prepare home first-aid kits (P &lt; 0.05).ConclusionThe preparation rate for home first-aid kits in China is less than a quarter. The public's home first-aid kit preparation behavior is related to demographic characteristics, self-efficacy, health literacy, and the openness of the Big Five personality. A multi-level linked national emergency literacy education system should be established to enhance the residents' attention to home first-aid kits and improve the residents' ability to prevent emergencies.
A GtoG Direct Coding Mapping Method for Multi-Type Global Discrete Grids Based on Space Filling Curves
Authors: Li Yalu , Zhao Xuesheng , Sun Wenbin , Wang Guangsong , Luo Fuli , Wang Zheng , Duan Yuanzheng 
Published: November 2022

DGGS (Discrete Global Grid System) has many subdivision models and coding methods. Due to the lack of underlying consistency of different DGGS codes, most of them are converted through longitude–latitude, which greatly reduces the interoperability efficiency of different DGGS data and has become one of the bottlenecks in efficient integration of multi-source DGGS data. Therefore, a direct mapping method from one grid code to another (Grid to Grid, GtoG) for multi-type DGGSs is proposed based on three classical DGGSs (triangular, diamond and hexagonal grids) and two commonly used filling curves (Hilbert curve and Z-curve). The mutual conversion rules of different grids expressing spatial point, line and surface data are constructed. Then, the above method is extended to the spherical icosahedral grid framework, and three different region coding mapping rule tables of the basic inside cells, boundary cells and vertex cells are designed. Finally, the experimental results show that, compared with the longitude–latitude conversion method, the average conversion efficiency of spatial point, line and surface data is increased by 2–4 orders of magnitude. This new method greatly improves the interoperability efficiency and provides a feasible solution for the efficient integration of multi-source DGGS data.
Effects of Wood-Derived Biochar on Germination, Physiology, and Growth of European Beech (Fagus sylvatica L.) and Turkey Oak (Quercus cerris L.)
Authors: Vannini Andrea , Carbognani Michele , Chiari Giorgio , Forte T’ai G. W. , Lumiero Fabio , Malcevschi Alessio , Rodolfi Margherita , Ganino Tommaso , Petraglia Alessandro 
Published: November 2022

Biochar (BC) soil amendments could partially counteract soil carbon (C) stock decrease in broad-leaved forests in Italy; however, its effects on the growth of representative tree species—Fagus sylvatica L. and Quercus cerris L.—has not yet been addressed. We examine whether seed germination and growth of these species are affected by addition of BC obtained from deciduous broadleaf trees. Seeds were left to germinate in greenhouse conditions under three different BC amendments: 0% (control), 10% and 20% (v/v). Seedlings were then subjected to controlled conditions under the same BC percentage. Biochar effects on seed germination were assessed measuring germination time and percentage, while effects on photosynthesis were assessed using leaf chlorophyll content (mg/m2) and photosynthetic efficiency (FV/FM). Plant growth was estimated by recording leaf number, longest leaf length and plant height. Biochar treatments had no negative effects on germination and early growth stage of the two species. Positive effects were found on the chlorophyll content of both species (ca. +8%) regardless of the treatment and on the leaf number (+30%), leaf length (+14%) and plant height (+48%) of Q. cerris (only with 10% BC). Biochar applications seem, therefore, a suitable method for increasing broad-leaved forest C stock in Italy.