bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and Validation of a Prognostic Model to Predict Overall Survival in Multiple System Atrophy
Authors: Eschlboeck Sabine , Goebel Georg , Eckhardt Christine , Fanciulli Alessandra , Raccagni Cecilia , Boesch Sylvia , Djamshidian Atbin , Heim Beatrice , Mahlknecht Philipp , Mair Katherina , Nachbauer Wolfgang , Scherfler Christoph , Stockner Heike , Poewe Werner , Seppi Klaus , Kiechl Stefan , Wenning Gregor , Krismer Florian ,   and the EMSA‐SG NHS Investigators
Published: June 2023

AbstractBackgroundMultiple system atrophy (MSA) is a devastating disease characterized by a variable combination of motor and autonomic symptoms. Previous studies identified numerous clinical factors to be associated with shorter survival.ObjectiveTo enable personalized patient counseling, we aimed at developing a risk model of survival based on baseline clinical symptoms.MethodsMSA patients referred to the Movement Disorders Unit in Innsbruck, Austria, between 1999 and 2016 were retrospectively analyzed. Kaplan–Meier curves and multivariate Cox regression analysis with least absolute shrinkage and selection operator penalty for variable selection were performed to identify prognostic factors. A nomogram was developed to estimate the 7 years overall survival probability. The performance of the predictive model was validated and calibrated internally using bootstrap resampling and externally using data from the prospective European MSA Study Group Natural History Study.ResultsA total of 210 MSA patients were included in this analysis, of which 124 patients died. The median survival was 7 years. The following clinical variables were found to significantly affect overall survival and were included in the nomogram: age at symptom onset, falls within 3 years of onset, early autonomic failure including orthostatic hypotension and urogenital failure, and lacking levodopa response. The time‐dependent area under curve for internal and external validation was >0.7 within the first 7 years of the disease course. The model was well calibrated showing good overlap between predicted and actual survival probability at 7 years.ConclusionThe nomogram is a simple tool to predict survival on an individual basis and may help to improve counseling and treatment of MSA patients.
Pain‐focused psychological interventions in women with endometriosis: A systematic review
Authors: Samami Elahe , Shahhosseini Zohreh , Khani Soghra , Elyasi Forouzan 
Published: June 2023

AbstractAimsAs a chronic inflammatory disease, endometriosis (EMS) is often associated with pain affecting different aspects of women's lives. Up to now, a wide variety of interventions have been implemented to alleviate pain in patients with this condition, including pharmacological, surgical, and rarely non‐pharmacological ones. Against this background, this review aimed to investigate pain‐focused psychological interventions among EMS women.MethodsA systematic review of the articles published in this field was conducted through a comprehensive search on the databases of Scopus, PubMed, MEDLINE, Web of Science, ScienceDirect, the Cochrane Library, PsycINFO, Google Scholar, and Scientific Information Database (SID). The quality of studies was then assessed by the Jadad Scale.ResultsIn total, 10 articles were entered into this systematic review. The findings further revealed that the pain‐focused psychological interventions in patients with EMS were cognitive‐behavioral therapy (CBT) (n = 2), mindfulness therapy (n = 4), yoga (n = 2), psychoeducation (n = 1), and progressive muscle relaxation (PMR) training (n = 1). Besides, the findings established that all the given interventions had improved and reduced pain in women living with this condition. Moreover, five articles were of good quality based on the Jadad Scale.ConclusionThe study results demonstrated that all the listed psychological interventions had affected pain relief and improvement in women suffering from EMS. Considering the limited number of studies in this field and the fact that there were only five articles endowed with good quality, more high‐quality studies could provide stronger evidence to support the implementation of the mentioned interventions influencing pain in patients.
Conservative EQ1rot nonconforming FEM for nonlinear Schrödinger equation with wave operator
Authors: Wang Lingli , Li Meng , Peng Shanshan 
Published: June 2023

AbstractIn this paper, we consider leap‐frog finite element methods with element for the nonlinear Schrödinger equation with wave operator. We propose that both the continuous and discrete systems can keep mass and energy conservation. In addition, we focus on the unconditional superconvergence analysis of the numerical scheme, the key of which is the time‐space error splitting technique. The spatial error is derived independently with order in ‐norm, where and denote the space and time step size. Then the unconditional optimal error and superclose result with order are deduced, and the unconditional optimal error is obtained with order by using interpolation theory. The final unconditional superconvergence result with order is derived by the interpolation postprocessing technique. Furthermore, we apply the proposed leap‐frog finite element methods to solve the logarithmic Schrödinger equation with wave operator by introducing a regularized system with a small regularization parameter . The detailed theoretical conclusions, including the mass and energy conservation laws of the continuous regularized and discrete regularized systems and the convergence and superconvergence results, are presented as prolongation of the previous work. At last, some numerical experiments are given to confirm our theoretical analysis.
Lower abdominal adipose tissue cannabinoid type 1 receptor availability in young men with overweight
Authors: Pekkarinen Laura , Kantonen Tatu , Oikonen Vesa , Haaparanta‐Solin Merja , Aarnio Richard , Dickens Alex M. , von Eyken Annie , Latva‐Rasku Aino , Dadson Prince , Kirjavainen Anna K. , Rajander Johan , Kalliokoski Kari , Rönnemaa Tapani , Nummenmaa Lauri , Nuutila Pirjo 
Published: June 2023

AbstractObjectiveCannabinoid type 1 receptors (CB1R) modulate feeding behavior and energy homeostasis, and the CB1R tone is dysgulated in obesity. This study aimed to investigate CB1R availability in peripheral tissue and brain in young men with overweight versus lean men.MethodsHealthy males with high (HR, n = 16) or low (LR, n = 20) obesity risk were studied with fluoride 18–labeled FMPEP‐d2 positron emission tomography to quantify CB1R availability in abdominal adipose tissue, brown adipose tissue, muscle, and brain. Obesity risk was assessed by BMI, physical exercise habits, and familial obesity risk, including parental overweight, obesity, and type 2 diabetes. To assess insulin sensitivity, fluoro‐[18F]‐deoxy‐2‐D‐glucose positron emission tomography during hyperinsulinemic‐euglycemic clamp was performed. Serum endocannabinoids were analyzed.ResultsCB1R availability in abdominal adipose tissue was lower in the HR than in the LR group, whereas no difference was found in other tissues. CB1R availability of abdominal adipose tissue and brain correlated positively with insulin sensitivity and negatively with unfavorable lipid profile, BMI, body adiposity, and inflammatory markers. Serum arachidonoyl glycerol concentration was associated with lower CB1R availability of the whole brain, unfavorable lipid profile, and higher serum inflammatory markers.ConclusionsThe results suggest endocannabinoid dysregulation already in the preobesity state.
BMI, insulin sensitivity, and cognition in early type 2 diabetes: The Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study
Authors: Luchsinger José A. , Kazemi Erin J. , Sanchez Danurys L. , Larkin Mary E. , Valencia Willy Marcos , Desouza Cyrus , Carlson Anders L. , Pop‐Busui Rodica , Seaquist Elizabeth R. , Florez Hermes J. , Barzilay Joshua ,   the GRADE Research Group
Published: June 2023

AbstractObjectiveThis study explored the association of BMI and insulin sensitivity with cognitive performance in type 2 diabetes.MethodsA cross‐sectional analysis of data from the baseline assessment of the Glycemia Reduction Approaches in Diabetes: a Comparative Effectiveness Study (GRADE) was conducted. BMI was used as a surrogate of adiposity and the Matsuda index as the measure of insulin sensitivity. Cognitive tests included the Spanish English Verbal Learning Test, the Digit Symbol Substitution Test, and the letter and animal fluency tests.ResultsCognitive assessments were completed by 5018 (99.4%) of 5047 participants aged 56.7 ± 10.0 years, of whom 36.4% were female. Higher BMI and lower insulin sensitivity were related to better performance on memory and verbal fluency tests. In models including BMI and insulin sensitivity simultaneously, only higher BMI was related to better cognitive performance.ConclusionsIn this study, higher BMI and lower insulin sensitivity in type 2 diabetes were cross‐sectionally associated with better cognitive performance. However, only higher BMI was related to cognitive performance when both BMI and insulin sensitivity were considered simultaneously. The causality and mechanisms for this association need to be determined in future studies.
Food reinforcement architecture: A framework for impulsive and compulsive overeating and food abuse
Authors: Burger Kyle S. 
Published: June 2023

AbstractFew reward‐based theories address key drivers of susceptibility to food cues and consumption beyond fullness. Decision‐making and habit formation are governed by reinforcement‐based learning processes that, when overstimulated, can drive unregulated hedonically motivated overeating. Here, a model food reinforcement architecture is proposed that uses fundamental concepts in reinforcement and decision‐making to identify maladaptive eating habits that can lead to obesity. This model is unique in that it identifies metabolic drivers of reward and incorporates neuroscience, computational decision‐making, and psychology to map overeating and obesity. Food reinforcement architecture identifies two paths to overeating: a propensity for hedonic targeting of food cues contributing to impulsive overeating and lack of satiation that contributes to compulsive overeating. A combination of those paths will result in a conscious and subconscious drive to overeat independent of negative consequences, leading to food abuse and/or obesity. Use of this model to identify aberrant reinforcement learning processes and decision‐making systems that can serve as markers of overeating risk may provide an opportunity for early intervention in obesity.
How do teachers innovate? Role of efficacy for innovation and school climate perception
Authors: Kundu Anurupa , Roy Debdulal Dutta 
Published: June 2023

AbstractStudies on teachers' innovative work behavior (IWB) have identified the importance of self‐efficacy beliefs and school climate. However, there is a lack of understanding of innovation‐specific self‐efficacy beliefs in earlier research. Further, the relative importance of these variables for teachers' IWB is yet to be examined. Objectives of the present study were to (i) conceptualize and develop an instrument to assess innovative self‐efficacy (ISE) of school teachers, and (ii) examine the dynamics of relationships among ISE, perceived school climate, and IWB of teachers. The research was classified into two studies. In both studies, data were collected randomly from secondary and higher secondary teachers of private, government, and government‐aided schools in Kolkata (INDIA) and adjoining areas. Study 1 dealt with the first objective, that is, the construction of the ISE scale. Factor structure and psychometric properties of the scale were tested on 300 teachers. Exploratory factor analysis revealed two dimensions: teaching reflection and teaching design implementation. In Study 2, ISE scale, IWB Scale, and Revised School Level Environment Questionnaire were administered to 400 teachers. Confirmatory factor analysis was performed, and goodness of fit estimates was calculated for the ISE scale, indicating an acceptable fit. Further, hierarchical regression analyses noted that school climate factors (collaboration, school resources, decision‐making, and instructional innovation) moderated the relationship between teaching reflection efficacy and IWB. In the current backdrop of different educational reforms, IWB is a thrust that needs to be promoted among school teachers. The present study implies that school administration can encourage teachers' innovativeness by increasing opportunities for innovation in school. Training and intervention programs aimed at enhancing teachers' ISE levels will also increase IWB in them.
Discriminating physiological from non‐physiological interfaces in structures of protein complexes: A community‐wide study
Authors: Schweke Hugo , Xu Qifang , Tauriello Gerardo , Pantolini Lorenzo , Schwede Torsten , Cazals Frédéric , Lhéritier Alix , Fernandez‐Recio Juan , Rodríguez‐Lumbreras Luis Angel , Schueler‐Furman Ora , Varga Julia K. , Jiménez‐García Brian , Réau Manon F. , Bonvin Alexandre M. J. J. , Savojardo Castrense , Martelli Pier‐Luigi , Casadio Rita , Tubiana Jérôme , Wolfson Haim J. , Oliva Romina , Barradas‐Bautista Didier , Ricciardelli Tiziana , Cavallo Luigi , Venclovas Česlovas , Olechnovič Kliment , Guerois Raphael , Andreani Jessica , Martin Juliette , Wang Xiao , Terashi Genki , Sarkar Daipayan , Christoffer Charles , Aderinwale Tunde , Verburgt Jacob , Kihara Daisuke , Marchand Anthony , Correia Bruno E. , Duan Rui , Qiu Liming , Xu Xianjin , Zhang Shuang , Zou Xiaoqin , Dey Sucharita , Dunbrack Roland L. , Levy Emmanuel D. , Wodak Shoshana J. 
Published: June 2023

AbstractReliably scoring and ranking candidate models of protein complexes and assigning their oligomeric state from the structure of the crystal lattice represent outstanding challenges. A community‐wide effort was launched to tackle these challenges. The latest resources on protein complexes and interfaces were exploited to derive a benchmark dataset consisting of 1677 homodimer protein crystal structures, including a balanced mix of physiological and non‐physiological complexes. The non‐physiological complexes in the benchmark were selected to bury a similar or larger interface area than their physiological counterparts, making it more difficult for scoring functions to differentiate between them. Next, 252 functions for scoring protein‐protein interfaces previously developed by 13 groups were collected and evaluated for their ability to discriminate between physiological and non‐physiological complexes. A simple consensus score generated using the best performing score of each of the 13 groups, and a cross‐validated Random Forest (RF) classifier were created. Both approaches showed excellent performance, with an area under the Receiver Operating Characteristic (ROC) curve of 0.93 and 0.94, respectively, outperforming individual scores developed by different groups. Additionally, AlphaFold2 engines recalled the physiological dimers with significantly higher accuracy than the non‐physiological set, lending support to the reliability of our benchmark dataset annotations. Optimizing the combined power of interface scoring functions and evaluating it on challenging benchmark datasets appears to be a promising strategy.
Psychosexual development, sexual functioning and sexual satisfaction in long‐term childhood cancer survivors: DCCSS‐LATER 2 sexuality substudy
Authors: Priboi Cristina , van Gorp Marloes , Maurice‐Stam Heleen , Michel Gisela , Kremer Leontien C. M. , Tissing Wim J. E. , Loonen Jacqueline J. , van der Pal Helena J. H. , de Vries Andrica C. H. , van den Heuvel‐Eibrink Marry M. , Ronckers Cécile M. , Bresters Dorine , Louwerens Marloes , Neggers Sebastian J. C. C. M. , van der Heiden‐van der Loo Margriet , van Dulmen‐den Broeder Eline , Grootenhuis Martha 
Published: June 2023

AbstractObjectivesChildhood cancer may negatively impact childhood cancer survivors' (CCS) sexuality. However, this is an understudied research area. We aimed to describe the psychosexual development, sexual functioning and sexual satisfaction of CCS, and identify determinants for these outcomes. Secondarily, we compared the outcomes of a subsample of emerging adult CCS to the Dutch general population.MethodsFrom the Dutch Childhood Cancer Survivor Study LATER cohort (diagnosed 1963–2001), 1912 CCS (18–71 years, 50.8% male) completed questions on sexuality, psychosocial development, body perception, mental and physical health. Multivariable linear regressions were used to identify determinants. Sexuality of CCS age 18–24 (N = 243) was compared to same‐aged references using binomial tests and t‐tests.ResultsOne third of all CCS reported hindered sexuality due to childhood cancer, with insecure body the most often reported reason (44.8%). Older age at study, lower education, surviving central nervous system cancer, poorer mental health and negative body perception were identified as determinants for later sexual debut, worse sexual functioning and/or sexual satisfaction. CCS age 18–24 showed significantly less experience with kissing (p = 0.014), petting under clothes (p = 0.002), oral (p = 0.016) and anal sex (p = 0.032) when compared to references. No significant differences with references were found for sexual functioning and sexual satisfaction, neither among female CCS nor male CCS age 18–24.ConclusionsEmerging adult CCS reported less experience with psychosexual development, but similar sexual functioning and sexual satisfaction compared to references. We identified determinants for sexuality, which could be integrated in clinical interventions for CCS at risk for reduced sexuality.
Multi‐trait stability index for the identification of shoot fly (Atherigona soccata) resistant sorghum lines from a mini core collection
Authors: Madhusudhana Ragimasalawada , Padmaja Poluru Gunnampati 
Published: June 2023

AbstractBACKGROUNDOn sorghum, shoot fly (Atherigona soccata Rondani) is the most destructive insect pest causing enormous economic losses. Breeding for host plant resistance is the best and economically viable strategy to control shoot fly damage. For improving resistance, there is a need to identify better donors with resistance, stability and adaptability. Sorghum mini core set representing global genetic diversity offers opportunity to understand genetic diversity of resistance component traits, their genotype × year (G × Y), and to identify better donors based on mean performance of multiple shoot fly resistance traits coupled with stability.RESULTSSignificant genetic variability and G × Y interaction was detected for all traits in the mini core set. Broad sense heritability and accuracy of selection for traits was high. Genetic correlation between deadhearts and leaf surface glossiness and with seedling height were negative while genetic correlation of deadhearts with oviposition was positive. The sorghum races did not establish any inherent relation with shoot fly resistance. Based on multiple trait stability index (MTSI), the study identified 12 stable resistant accessions. Selection differential and selection gains in the selected genotypes were positive for both glossiness and seedling height and were negative for deadhearts and Eggs.CONCLUSIONThe MTSI selected new sources of resistance may constitute a breeding population for providing a dynamic gene pool of different resistance mechanisms for improving shoot fly resistance in sorghum. © 2023 Society of Chemical Industry.
Probability‐type, Shewhart‐type and EWMA control charts for individual observations from the two‐parameter Lindley distribution
Authors: Demertzi Elisavet , Psarakis Stelios 
Published: June 2023

AbstractLindley distribution is a continuous distribution with various applications some of which are in medicine, genetics, epidemiology, biology, finance and actuarial sciences, ecology, meteorology, sociology, demography, agriculture, hydrology, geosciences, reliability and engineering, life testing and survival analysis, airborne systems and communications, environmental studies and modeling and describing of human mistakes, strikes, accidents, behavioural and emotional or IQ test scores and waiting times of customers in queues until service, etc. Due to its variety of applications, it appears to be important that control charts for detected shifts in a process should be constructed under the assumption that the quality characteristic of interest follows a Lindley‐related distribution. Here, we construct probability‐type, Shewhart‐type and EWMA control charts (and deal with the optimal choice of its parameters) for individual observations from the two‐parameter Lindley distribution, investigate and compare their performance and illustrate them using examples with both simulated and real data. The whole analysis reveals the superiority of using skewness correction for the construction of the control charts against not using it.
Robust adaptive control for nonlinear cyber‐physical systems with FDI attacks via attack estimation
Authors: Chen Lexin , Li Yongming , Tong Shaocheng 
Published: June 2023

AbstractThis article investigates the adaptive control problem for nonlinear cyber‐physical systems with network communication encountered false data injection (FDI) attacks. To address such attacks, the attack estimate method is designed whose objective is to minimize the vulnerability of FDI attacks. This article aim to find, using the historical FDI attack, a solution with guaranteed out‐of‐sample forecasting, so as for the attacker to plan its attacks such that the worst possible action on the system measurement. The approach is to formulate a robust optimization problem using the box‐like sets, and then transform it into a linear programming model for solving problems. Consequently, under the framework of backstepping, a robust adaptive state‐feedback control method is proposed. By using Lyapunov stability theory, the proposed control scheme can guarantee that all the closed‐loop signals are globally bounded and the stabilization error converges to the origin. Finally, simulation results illustrate the effectiveness of the proposed control scheme.
A mechanistic inquiry into the applicability of permanganate oxidizable carbon as a soil health indicator
Authors: Christy Isabel , Moore Amber , Myrold David , Kleber Markus 
Published: June 2023

AbstractWe determined the characteristics that render organic matter responsive to dilute permanganate oxidation to find a mechanistic explanation for the frequently observed responsiveness of permanganate oxidizable carbon (PoxC) to changes in soil health. We conclude that PoxC is primarily a measurement of phenolic and polyphenolic structures rather than of compounds traditionally viewed as preferred microbial food. Upon subjecting pure compounds to the PoxC method, we found that the susceptibility of organic molecules to permanganate oxidation was determined by the presence of specific structural features abundant in phenolic compounds, which were highly reactive (3–98 mg PoxC·g−1 C), and in a subset of low‐molecular‐weight organic acids (0–180 mg PoxC·g−1 C). In comparison, proteins were minimally reactive (0–13 mg PoxC·g−1 C) and carbohydrates were unreactive when subjected to the PoxC method. Permanganate reactivity was not found to be a predictor of decomposability in biosolids through the mirroring of C:N ratio. However, permanganate reactivity increased up to 27% throughout the decomposition process. We suggest a reinterpretation of the mechanisms that render PoxC useful as a soil health indicator. Rather than representing a preferred microbial food source, PoxC measures a carbon fraction with unique molecular properties that may be an indicator of plant‐mediated soil processes. Our research corroborates the usefulness of PoxC as a soil health indicator, albeit for entirely different reasons than previously assumed. This opens exciting avenues of further inquiry and sets the stage for intensified investigations into the general role of polyphenolic compounds in soil health.