bluuebunny/crossref_metadata_2025_split huggingface dataset:
Kinetic Equations of Physicochemical Processes with Allowance for Multi-Particle Effects in the Lattice Gas Model
Authors: Tovbin Yu. K. 
Published: March 2022

Abstract
A way of deriving kinetic equations of physicochemical processes in dense phases is developed on the basis of the discrete–continuous description of the spatial distribution of components in the lattice gas model (LGM), with allowance for multi-particle effects. The emergence of multi-particle effects is associated with the simultaneous influence of all neighbors on the rate of the elementary stage with the participation of a given particle. They include multi-particle potentials of interaction, including quantum–chemical energy calculations, the effect the configurations of neighboring molecules have on the internal motion of the central particle, and the effects of the indirect correlation of interacting particles that occurs for any potential of pair interaction, assuming the internal motions of particles do not depend on the local configurations of neighbors. Multi-particle effects take models beyond the quasi-chemical approximation, which reflects direct correlations of interacting particles through pair distribution functions, and require the use of correlation functions for a larger number of particles in describing their kinetics. The rates of elementary one- and two-node stages are calculated within the theory of absolute rates of reactions in non-ideal reaction systems. Ways of calculating approximate rates of the elementary stages of mono- and bimolecular processes are discussed, along with the possibilities of generalizing the derived equations.
Trace elements in pyrite from five different gold ore deposit classes: a review and meta-analysis
Authors: Babedi Lebogang , von der Heyden Bjorn P. , Tadie Margreth , Mayne Matthew 
Published: March 2022

Abstract
Scientific studies that use pyrite trace element signatures to facilitate interpretations of the geological history of hydrothermal gold deposits are becoming more common. Given this rise in popularity in pyrite trace element chemistry studies, a review of trace element incorporation in pyrite from various gold deposit classes is highly timely. We provide a global compilation of over 20 000 chemical data points resulting from over 5520 spot measurements of pyrites from five separate ore deposit classes, each of which is known to have high gold concentrations. The ore deposit classes considered here include orogenic gold deposits, Carlin-type gold deposits, high- and low-sulfidation gold deposits, and Au-bearing porphyry systems, whereas the pyrite minor- and trace elements that we consider include Au, As, Bi, Co, Cu, Ni, Pb, Sb, Se, Te, Tl and Zn. Meta-analyses of these data suggest that, on a global scale, both existing pyrite trace element chemistry discrimination tools and the newly-established principal component analysis (PCA) approach have a relatively low efficacy in correctly predicting the metallogenic setting in which the pyrite formed. At a deposit scale, however, pyrite trace element chemistry continues to be a useful tool for understanding Au mineralizing processes, especially when coupled with additional analytical techniques or lines of geological evidence. Further meta-analysis of the data tentatively suggests the solubility limits for the various trace elements in pyrite mineral structure and reveals that the correlations between temperature and trace element incorporation (i.e. pyrite geothermometry) are complex. The study highlights that pyrite, by virtue of its mineralogy and propensity for element substitutions, remains an important repository of chemical information related to the evolution of hydrothermal gold mineralizing systems. In as much as this repository is now readily accessed utilizing modern analytical techniques (e.g. routine LA-ICP-MS mapping of trace element distributions at ppb concentrations; mapping element distributions at the nanoscale using atom probe tomography), its full value will only be realized through continued study into the kinetics and mechanisms of trace element incorporation into pyrite structure at conditions relevant to ore-forming processes.
Ejercicios físicos en los niveles de Síndrome de Burnout y la Variabilidad de la Frecuencia Cardíaca de estudiantes universitarios
Authors: Rosales-Ricardo Yury , Caiza Marco Vinicio , Sánchez-Cañizares Mauricio , Ferreira José Pedro 
Published: March 2022

Los programas de intervención para prevenir o tratar el Síndrome de Burnout son esenciales para mejorar la salud de los estudiantes. Pero la mayoría de las investigaciones realizadas son intervenciones psicológicas y cognitivas.
Objetivo: Determinar los efectos de los ejercicios físicos en los niveles de Síndrome de Burnout y la Variabilidad de la Frecuencia Cardíaca en estudiantes universitarios.
Métodos: Estudio experimental con pre-test y post-test, con 2 grupos de intervención y un grupo de control. La muestra fue probabilística y estratificada con participación proporcional. Instrumentos utilizados: Maslach Burnout Inventory Students Survey (MBI-SS) y Variabilidad de la Frecuencia Cardíaca (HRV): cálculo de la media RR, SDNN y RMSSD. Para el ejercicio físico, se aplicaron ejercicios aeróbicos y de fuerza durante 3 sesiones semanales de una hora, en días alternos, durante 16 semanas.
Resultados: El grupo de aeróbicos con Agotamiento MBI-SS fue mayor, reduciendo sus niveles en un 26,4% (d=0,532), en Cinismo (-21,06, d=0,252) y en Eficacia (-13,11, 0,397). Grupo de fuerza en Cinismo (-27,38, d=0,315), en Eficacia (-21,69, d=0,704), Agotamiento (-19,55, d=0,299). El grupo de control Agotamiento aumentó en un 10,26% (d=0,128). En la HVR, con el grupo aeróbico el SDNN tuvo el mayor cambio porcentual, con un aumento del 24,82 %, sobre la media RR y RMSSD (14,40 % y 16,45 %). En el grupo de fuerza y en el grupo de control (21,77%, 14,24%, 12,60%; y 12,59%, 4,97% y 4,99% respectivamente). Hubo un cambio en el RR medio en los grupos aeróbico y de fuerza (d = 1,281 y 1,328).
Conclusiones: Efecto de reducción del síndrome de burnout y efecto contrario de incremento de valores del HRV.
Tentativa de suicídio e suicídio no Brasil: análise epidemiológica
Authors: Silva Daniel Augusto da , Marcolan João Fernando 
Published: March 2022

Objetivo: Descrever o perfil epidemiológico sobre tentativas e mortes por suicídio no Brasil. Método: Pesquisa retrospectiva, quantitativa, com dados obtidos em setembro de 2020 no banco de dados do Departamento de Informática do Sistema Único de Saúde do Brasil. Resultados: Aumento gradual no número de notificações de violência autoprovocada de 497,5% entre 2011 e 2018. Para tentativa de suicídio, em 2018, mulheres foram 68,9%; entre 20 e 59 anos com 65,6%; 49,4% em pessoas brancas. Quanto ao suicídio no período 2009 a 2018, 108.020 óbitos; maiores taxas no sexo masculino; dados de 2018: faixas etárias com distribuição semelhantes; maioria pessoas brancas (49,2%) e pardas (42,8%), há importantes diferenças regionais; em 2017 e 2018 maior percentual proporcional em pessoas com 8 a 11 anos de estudo, 33,1 e 35,6%. Conclusão: Aumento crescente nas taxas de tentativa de suicídio e suicídio, com especificidades por região e estado brasileiros; aumento na morte de indígenas, homens, brancos, solteiros, separados e viúvos, com mais anos de escolaridade, em todas as faixas etárias, morte em casa, método de enforcamento.
Paraparesia espástica complicada como fenótipo neurológico em OPA1
Authors: Vanni Ana Beatriz Cardoso , Pessoni Ana Clara  Pelicer , Castro Henrique  Bornelli de , Carneiro Zumira , Simão Gustavo  Novelino , Lourenço Charles Marques 
Published: March 2022

Introdução: A atrofia óptica autossômica dominante (ADOA) é uma das formas mais comuns de atrofias ópticas hereditárias, e causada por mutações no gene OPA1. Os pacientes afetados por essa doença geralmente apresentam perda visual na primeira década de vida, podendo apresentar manifestações extraoftalmológicas no decorrer dos anos, configurando uma síndrome chamada OPA1 plus ou ADOA-plus. Objetivos: Relatar caso de paciente portadora da síndrome ADOA-plus, estabelecendo correlações com casos descritos na literatura. Relato de caso: Paciente feminino, 30 anos, foi encaminhada para avaliação de quadro de atrofia óptica progressiva associada a sintomas de neuropatia periférica. Aos dois anos, foi diagnosticada com perda visual parcial em consulta de puericultura. Não relatou outros sintomas associados durante a infância e a adolescência. Aos 20 anos, apresentou dificuldades de deambular, fraqueza em membros inferiores e falta de equilíbrio. Aos 25 anos, após extensa investigação, foi identificada, através de sequenciamento de exoma, mutação patológica no gene OPA1 confirmando o diagnóstico ADOA-plus e iniciado tratamento com Coenzima Q10. Atualmente a paciente relata ataxia sensitiva, diminuição da acuidade visual progressiva, fasciculações e câimbras em MMII, disfagia e dispneia. Discussão: Muitos pacientes com ADOA-plus apresentam surdez neurossensorial como sintoma extraoftalmológico mais comum, além de quadros de parkinsonismo e demência, ataxia e ptose. Paciente relatada constitui um caso de atrofia óptica associado à neuropatia periférica, ataxia e miopatia. Devido à ampla variabilidade clínica dessa doença, deve-se investigar mutações no OPA1 em casos de paraparesia espástica progressiva associada à atrofia óptica, visto que possibilidade de tratamento com Coenzima Q10.
The taxonomic identity of the monocle bream Scolopsis vosmeri species complex (Perciformes: Nemipteridae), with comments on molecular phylogenetic relationships within the genus Scolopsis
Authors: RUSSELL BARRY C. , BOGORODSKY SERGEY V. , MAL AHMAD O. , BINEESH K.K. , ALPERMANN TILMAN J. 
Published: March 2022

The monocle bream Scolopsis vosmeri species complex is revised. Three species in the complex are recognized: Scolopsis vosmeri (Bloch, 1792), widespread in the Indo-West Pacific, from the northern Indian Ocean (Pakistan, western India, Sri Lanka, Bay of Bengal, and the Andaman Sea, but not recorded from the Red Sea or Arabian Gulf, east African coast or Madagascar) to western Indonesia and Borneo; S. japonica (Bloch, 1793), restricted to the western Pacific Ocean from western Indonesia and north-western Australia east to the Philippines and north to southern Japan; and S. curite Cuvier, 1815, widespread from the western to the eastern Indian Ocean, including the Red Sea and Arabian Gulf. All three species are similar morphologically, and have been confused taxonomically, but phylogenetic analysis of the COI barcoding region shows they are evolutionarily divergent. The three species are redescribed in detail and characters found to distinguish them. Scolopsis vosmeri is easily distinguished from S. japonica and S. curite in having a white band along the side of the body; having a black spot on most body scales (versus greenish yellow spot in S. japonica and S. curite); in lacking a distinct black spot (sometimes a small and faint spot present) on the upper pectoral-fin base (versus small black wedge-shaped spot present in S. japonica and S. curite); caudal peduncle whitish in live individuals (versus caudal peduncle usually yellowish in S. japonica and S. curite); and pelvic and anal fins crimson to orange-red (versus yellow in S. japonica and S. curite). Scolopsis japonica and S. curite are indistinguishable by color pattern but differ in the degree of spination on the preopercular margin. Neotypes are designated for Scolopsis japonica and S. curite. Nomenclatural problems, including validity of the genus Scolopsis, are discussed. We regard Scolopsis curite Cuvier, 1815 as a valid binomial name and thus the type species of Scolopsis Cuvier, 1814 by subsequent monotypy.
Dietary Behaviors, Physical Activity, and Reported Role Models Among Emerging and Young Adults With Overweight and Obesity
Authors: Ingersoll Rachel N. , Bailey Caitlin P. , Mavredes Meghan N. , Wang Yan , Napolitano Melissa A. 
Published: March 2022

This article characterizes role models identified by emerging/young adults for healthy eating and physical activity (PA), explores variations in reported role models by age, sex and race/ethnicity, and examines dietary/physical activity behaviors in relation to role models. Emerging/young adults ( n=397) enrolled in a randomized controlled weight management trial completed assessments at baseline: self-reported role models for healthy eating and PA, Healthy Eating Index, device-measured PA, and demographics. Participants were 78% female, 50% non-White, with mean age 23.3 years, mean BMI 31.1 kg/m2. For both healthy eating and PA, the most frequently reported role model was friend (diet: 35%; PA: 39%). Parent was reported second most frequently for healthy eating (21%) and third most frequently for PA (11%). Role models for healthy eating, but not PA, differed by race/ethnicity. Role models did not differ by age or sex. Results may inform future interventions to promote healthy behaviors in emerging adults.
Risk Factors and Three Radiological Predictor Models for the Progression of Proximal Junctional Kyphosis in Adult Degenerative Scoliosis Following Posterior Corrective Surgery: 113 Cases With 2-years Minimum Follow-Up
Authors: Li Junyu , Xiao Han , Jiang Shuai , Yang Zexi , Chen Zhongqiang , Liu Xiaoguang , Liu Zhongjun , Wei Feng , Jiang Liang , Sun Chuiguo , Wu Fengliang , Guo Zhaoqing , Li Jing , Li WeiShi , Yu Miao 
Published: March 2022

Study design Retrospective cohort study. Objective To identify risk factors and predictive models for proximal junctional kyphosis (PJK) in a long-term follow-up of patients with adult degenerative scoliosis (ADS) following posterior corrective surgeries. Materials and Methods A consecutive 113 ADS patients undergoing posterior corrective surgery between January 2008 and April 2019 with minimum 2-year follow-up were included. All patients underwent preoperative, postoperative, and final follow-up by X-ray imaging. Multivariate logistic analysis was performed on various risk factors and radiological predictor models. Results PJK was identified radiographically in 46.9% of patients. Potential risk factors for PJK included postoperative thoracic kyphosis (TK) ( P < .05), final follow-up Pelvic Tilt (PT) ( P < .05), PT changes at final follow-up ( P < .05), age over 55 years old at the surgery ( P < .05), theoretical thoracic kyphosis–actual thoracic kyphosis mismatch (TK mismatch) ( P < .05) and theoretical lumbar lordosis–acutal lumbar lordosis mismatch (LL mismatch) ( P < .05). As for the predictive models, PJK was predictive by the following indicators: preoperative global sagittal alignment ≥45° (Model 1), postoperative pelvic incidence–lumbar lordosis mismatch (PI–LL)≤10° and postoperative PI–LL overcorrection (Model 2), and TK+LL≥0° (Model 3) ( P < .05). Postoperative TK mismatch (OR = 1.064) was independent as risk factors for PJK, with the cut-off values respectively set at −28.56° to predict occurrence of PJK. Conclusion The risk of radiographic PJK increases with an age over 55 years old and higher postoperative TK. In addition, postoperative TK mismatch is an independent risk factor for developing PJK. All three predictive models could effectively indicate the occurrence of PJK.
Label-free quantitative proteomics of maize roots from different root zones provides insight into proteins associated with enhance water uptake
Authors: Song Junqiao , Lu Daowen , Niu Yongfeng , Sun Haichao , Zhang Pan , Dong Wenheng , Li Yongjiang , Zhang Yingying , Lu Lianyong , Men Qi , Zhang Xiaohui , Ren Pengxun , Chen Chuankui 
Published: March 2022

Abstract
Background
Maize is one of the most important food crops worldwide. Roots play important role in maize productivity through water and nutrient uptake from the soil. Improving maize root traits for efficient water uptake will help to optimize irrigation and contribute to sustainable maize production. Therefore, we investigated the protein profiles of maize cv. Anyu308 root system divided into Upper root zone (UR), Middle root (MR), and Lower root (LR), by label free quantitative shotgun proteomic approach (LFQ). The aim of our study was to identify proteins and mechanisms associated with enhanced water uptake in different maize root zones under automatic irrigation system.

Results
At field capacity, MR had the highest water uptake than the UR and LR. We identified a total of 489 differentially abundant proteins (DAPs) by pairwise comparison of MR, LR, and UR. Cluster analysis of DAPs revealed MR and UR had similar protein abundance patterns different from LR. More proteins were differentially abundant in MR/UR compared to LR/MR and LR/UR. Comparisons of protein profiles indicate that the DAPs in MR increased in abundance, compared to UR and LR which had more downregulated DAPs. The abundance patterns, functional category, and pathway enrichment analyses highlight chromatin structure and dynamics, ribosomal structures, polysaccharide metabolism, energy metabolism and transport, induction of water channels, inorganic ion transport, intracellular trafficking, and vesicular transport, and posttranslational modification as primary biological processes related to enhanced root water uptake in maize. Specifically, the abundance of histones, ribosomal proteins, and aquaporins, including mitochondrion electron transport proteins and the TCA cycle, underpinned MR’s enhanced water uptake. Furthermore, proteins involved in folding and vascular transport supported the radial transport of solute across cell membranes in UR and MR. Parallel reaction monitoring analysis was used to confirmed profile of the DAPs obtained by LFQ-based proteomics.

Conclusion
The list of differentially abundant proteins identified in MR are interesting candidates for further elucidation of their role in enhanced water uptake in maize root. Overall, the current results provided an insight into the mechanisms of maize root water uptake.
What is the empirical basis for converting banded ordinal data on numbers of sex partners among MSM into a continuous scale level variable? A secondary analysis of 13 surveys across 17 countries
Authors: Mendez-Lopez Ana , Hickson Ford , Jansen Klaus , Lachowsky Nathan , Burns Fiona , Folch Cinta , Velter Annie , Weatherburn Peter , Marcus Ulrich , von Rüden Ursula , Mirandola Massimo , Gios Lorenzo , Frankis Jamie , Brennan David J. , Schmidt Axel J. 
Published: March 2022

Abstract
Background
To provide empirically based guidance for substituting partner number categories in large MSM surveys with mean numbers of sexual and condomless anal intercourse (CAI) partners in a secondary analysis of survey data.

Methods
We collated data on numbers of sexual and CAI partners reported in a continuous scale (write-in number) in thirteen MSM surveys on sexual health and behaviour across 17 countries. Pooled descriptive statistics for the number of sexual and CAI partners during the last twelve (N = 55,180) and 6 months (N = 31,759) were calculated for two sets of categories commonly used in reporting numbers of sexual partners in sexual behaviour surveys.

Results
The pooled mean number of partners in the previous 12 months for the total sample was 15.8 partners (SD = 36.6), while the median number of partners was 5 (IQR = 2–15). Means for number of partners in the previous 12 months for the first set of categories were: 16.4 for 11–20 partners (SD = 3.3); 27.8 for 21–30 (SD = 2.8); 38.6 for 31–40 (SD = 2.4); 49.6 for 41–50 (SD = 1.5); and 128.2 for ‘more than 50’ (SD = 98.1). Alternative upper cut-offs: 43.4 for ‘more than 10’ (SD = 57.7); 65.3 for ‘more than 20’ (SD = 70.3). Self-reported partner numbers for both time frames consistently exceeded 200 or 300. While there was substantial variation of overall means across surveys, the means for all chosen categories were very similar. Partner numbers above nine mainly clustered at multiples of tens, regardless of the selected time frame. The overall means for CAI partners were lower than those for sexual partners; however, such difference was completely absent from all categories beyond ten sexual and CAI partners.

Conclusions
Clustering of reported partner numbers confirm common MSM sexual behaviour surveys’ questionnaire piloting feedback indicating that responses to numbers of sexual partners beyond 10 are best guesses rather than precise counts, but large partner numbers above typical upper cut-offs are common.
Detecting the patient’s need for help with machine learning based on expressions
Authors: Lahti Lauri 
Published: March 2022

Abstract
Background
Developing machine learning models to support health analytics requires increased understanding about statistical properties of self-rated expression statements used in health-related communication and decision making. To address this, our current research analyzes self-rated expression statements concerning the coronavirus COVID-19 epidemic and with a new methodology identifies how statistically significant differences between groups of respondents can be linked to machine learning results.

Methods
A quantitative cross-sectional study gathering the “need for help” ratings for twenty health-related expression statements concerning the coronavirus epidemic on an 11-point Likert scale, and nine answers about the person’s health and wellbeing, sex and age. The study involved online respondents between 30 May and 3 August 2020 recruited from Finnish patient and disabled people’s organizations, other health-related organizations and professionals, and educational institutions (n = 673). We propose and experimentally motivate a new methodology of influence analysis concerning machine learning to be applied for evaluating how machine learning results depend on and are influenced by various properties of the data which are identified with traditional statistical methods.

Results
We found statistically significant Kendall rank-correlations and high cosine similarity values between various health-related expression statement pairs concerning the “need for help” ratings and a background question pair. With tests of Wilcoxon rank-sum, Kruskal-Wallis and one-way analysis of variance (ANOVA) between groups we identified statistically significant rating differences for several health-related expression statements in respect to groupings based on the answer values of background questions, such as the ratings of suspecting to have the coronavirus infection and having it depending on the estimated health condition, quality of life and sex. Our new methodology enabled us to identify how statistically significant rating differences were linked to machine learning results thus helping to develop better human-understandable machine learning models.

Conclusions
The self-rated “need for help” concerning health-related expression statements differs statistically significantly depending on the person’s background information, such as his/her estimated health condition, quality of life and sex. With our new methodology statistically significant rating differences can be linked to machine learning results thus enabling to develop better machine learning to identify, interpret and address the patient’s needs for well-personalized care.