bluuebunny/crossref_metadata_2025_split huggingface dataset:
Altered structural connectivity networks in dementia with lewy bodies
Authors: Nicastro Nicolas , Mak Elijah , Surendranathan Ajenthan , Rittman Timothy , Rowe James B. , O’Brien John T. 
Published: January 2021

AbstractThe impairment of large-scale brain networks has been observed in dementia with Lewy bodies (DLB) using functional connectivity, but the potential for an analogous effect on structural covariance patterns has not been determined. Twenty-four probable DLB subjects (mean age 74.3 ± 6.7 years, 16.7% female) and 23 similarly aged Controls were included. All participants underwent 3T MRI imaging with high-resolution T1-weighted magnetization-prepared rapid gradient echo (MPRAGE) sequence. Graph theoretical analyses were performed using variation in regional cortical thickness to construct a structural association matrix with pairwise Pearson correlations. Global and nodal graph parameters were computed to assess between-group differences and community structure was studied in order to quantify large-scale brain networks in both groups. In comparison to Controls, DLB subjects had decreased global efficiency, clustering, modularity and small-worldness of structural networks (all p < 0.05). Nodal measures showed that DLB subjects also had decreased clustering in bilateral temporal regions and decreased closeness centrality in extensive areas including right middle frontal, left cingulate and bilateral occipital lobe (all false-discovery rate (FDR)-corrected q < 0.05). Whereas four distinct modules could be clearly identified in Controls, DLB showed extensively disorganized modules, including default-mode network and dorsal attentional network. Our results suggest a marked impairment in large-scale brain structural networks in DLB, mirroring functional connectivity networks disruption.
Supporting international networks through platforms for standardised data collection—the European Registries for Rare Endocrine Conditions (EuRRECa) model
Authors: Ali S. R. , Bryce J. , Smythe C. , Hytiris M. , Priego A. L. , Appelman-Dijkstra N. M. , Ahmed S. F. 
Published: January 2021

AbstractRare endocrine pathology is manifested by either a deficiency or excess of one or more hormones. These conditions can be life-threatening and are almost universally associated with long-term morbidity. Understanding the aetiology of these conditions requires multicentre collaboration and expertise, most often across national boundaries, with the capacity for long-term follow-up. The EuRRECa (European Registries for Rare Endocrine Conditions) project (www.eurreca.net), funded by the EU Health Programme, aims to support the needs of the wider endocrine community by maximising the opportunity for collaboration between patients, health care professionals and researchers across Europe and beyond. At the heart of the EuRRECa collaboration is a Core Endocrine Registry that collects a core dataset for all rare endocrine conditions that are covered within Endo-ERN. The registry incorporates patient reported markers of clinical outcome and will signpost participants to high-quality, disease-specific registries. Furthermore, an electronic surveillance programme (e-REC) captures clinical activity and epidemiology for these rare conditions. EuRRECa receives guidance compliant with the highest ethical standards from Expert Working Groups that align with the Main Thematic Groups of Endo-ERN. Security, data quality and data governance are cornerstones of this platform. Clear policies that are acceptable to patients, researchers and industry for data governance coupled with widespread dissemination and knowledge exchange through closely affiliated stakeholders will ensure sustainability beyond the current lifetime of the project. This paper describes the infrastructure that has been developed, stakeholder involvement, the data fields that are captured within the registry and details on the process for using the platform.
Clinical management of patients with genetic obesity during COVID-19 pandemic: position paper of the ESE Growth & Genetic Obesity COVID-19 Study Group and Rare Endo-ERN main thematic group on Growth and Obesity
Authors: De Groot Cornelis Jan , Poitou Bernert Christine , Coupaye Muriel , Clement Karine , Paschou Stavroula A. , Charmandari Evangelia , Kanaka-Gantenbein Christina , Wabitsch Martin , Buddingh Emilie P. , Nieuwenhuijsen Barbara , Marina Ljiljana , Johannsson Gudmundur , Van Den Akker E. L. T. 
Published: January 2021

AbstractThis article aims to provide guidance on prevention and treatment of COVID-19 in patients with genetic obesity. Key principals of the management of patients with genetic obesity during COVID-19 pandemic for patients that have contracted COVID-19 are to be aware of: possible adrenal insufficiency (e.g., POMC deficiency, PWS); a more severe course in patients with concomitant immunodeficiency (e.g., LEP and LEPR deficiency), although defective leptin signalling could also be protective against the pro-inflammatory phenotype of COVID-19; disease severity being masked by insufficient awareness of symptoms in syndromic obesity patients with intellectual deficit (in particular PWS); to adjust medication dose to increased body size, preferably use dosing in m2; the high risk of malnutrition in patients with Sars-Cov2 infection, even in case of obesity. Key principals of the obesity management during the pandemic are to strive for optimal obesity management and a healthy lifestyle within the possibilities of the regulations to prevent weight (re)gain and to address anxiety within consultations, since prevalence of anxiety for COVID-19 is underestimated.
ENDO-ERN expert opinion on the differential diagnosis of pubertal delay
Authors: Persani Luca , Bonomi Marco , Cools Martine , Dattani Mehul , Dunkel Leo , Gravholt Claus H. , Juul Anders 
Published: January 2021

AbstractThe differential diagnoses of pubertal delay include hypergonadotropic hypogonadism and congenital hypogonadotropic hypogonadism (CHH), as well as constitutional delay of growth and puberty (CDGP). Distinguishing between CDGP and CHH may be challenging, and the scientific community has been struggling to develop diagnostic tests that allow an accurate differential diagnosis. Indeed, an adequate and timely management is critical in order to enable optimal clinical and psychosocial outcomes of the different forms of pubertal delays. In this review, we provide an updated insight on the differential diagnoses of pubertal delay, including the available tests, their meanings and accuracy, as well as some clues to effectively orientate towards either constitutional pubertal delay or pathologic CHH and hypergonadotropic hypogonadism.
Effect of interleukin-6, -17, -21, -22, and -23 and STAT3 on signal transduction pathways and their inhibition in autoimmune arthritis
Authors: Woś Izabela , Tabarkiewicz Jacek 
Published: January 2021

AbstractRheumatic diseases are complex autoimmune diseases which include among others rheumatoid arthritis (RA), juvenile idiopathic arthritis (JIA), and psoriatic arthritis (PsA). These diseases are characterized by prolonged and increased secretion of inflammatory factors, eventually leading to inflammation. This is often accompanied by persistent pain and stiffness in the joint and finally bone destruction and osteoporosis. These diseases can occur at any age, regardless of gender or origin. Autoimmune arthritis is admittedly associated with long-term treatment, and discontinuation of medication is associated with unavoidable relapse. Therefore, it is important to detect the disease at an early stage and apply appropriate preventative measures. During inflammation, pro-inflammatory factors such as interleukins (IL)-6, -17, -21, -22, and -23 are secreted, while anti-inflammatory factors including IL-10 are downregulated. Research conducted over the past several years has focused on inhibiting inflammatory pathways and activating anti-inflammatory factors to improve the quality of life of people with rheumatic diseases. The aim of this paper is to review current knowledge on stimulatory and inhibitory pathways involving the signal transducer and activator of transcription 3 (STAT3). STAT3 has been shown to be one of the crucial factors involved in inflammation and is directly linked with other pro-inflammatory factors and thus is a target of current research on rheumatoid diseases.
Prevalence of nonalcoholic fatty liver disease in mental disorder inpatients in China: an observational study
Authors: Ma Qiuyue , Yang Fude , Ma Botao , Jing Wenzhan , Liu Jue , Guo Moning , Li Juan , Wang Zhiren , Liu Min 
Published: January 2021

Abstract
Background and Purpose
Non-alcoholic fatty liver disease (NAFLD) is becoming the most common liver disease in China. However, the understanding of NAFLD prevalence among Chinese mental disorder inpatients remains insufficient. We aim to investigate the prevalence of NAFLD among mental disorder inpatients in Beijing, China.

Methods
In this observational study, we included 66,273 mental disorder inpatients between 2014 and 2018, including inpatients with schizophrenia, bipolar disorder, depressive disorder and other mental disorders. Data were obtained from electronic health records of 19 specialized psychiatric hospitals in Beijing. NAFLD was defined by ICD-10 code, excluding other causes of liver disease. We calculated the overall and annual prevalence rates of NAFLD from 2014 to 2018, and compared NAFLD prevalence between sexes, age groups, mental disorders types, antipsychotics use, and comorbidities. Multivariable logistic regression was used to examine risk factors associated with NAFLD. Subgroup analysis was performed in different mental disorder types.

Results
The prevalence of NAFLD was 17.63% (95% CI 17.34–17.92%) in mental disorder inpatients, increasing from 16.88% in 2014 to 19.07% in 2018. The NAFLD prevalence in participants with schizophrenia (22.44%) was higher than that in participants with bipolar disorder (17.89%), depressive disorder (12.62%), and other mental disorders (12.99%). Women had similar or even higher NAFLD prevalence than men after 50 years. Men, 50–59 years (aOR = 1.71), schizophrenia (aOR = 1.56), bipolar disorder (aOR = 1.47), antipsychotics use (aOR = 1.46), hypertension (aOR = 1.50), diabetes (aOR = 1.83), dyslipidemia (aOR = 2.50) were risk factors for NAFLD in mental disorder inpatients.

Conclusion
NAFLD was common among Chinese mental disorder inpatients, and increased over years. The prevalence of NAFLD was higher among men, old women, inpatients with schizophrenia, bipolar disorder, antipsychotics, hypertension, diabetes, and dyslipidemia. Fatty liver disease among mental disorder population warrants the attention of psychiatric specialists and health policy-makers.
Robustness of life histories to environmental variability in complex versus simple life cycles
Authors: Jonsson Annie 
Published: January 2021

AbstractMost animal species have a complex life cycle (CLC) with metamorphosis. It is thus of interest to examine possible benefits of such life histories. The prevailing view is that CLC represents an adaptation for genetic decoupling of juvenile and adult traits, thereby allowing life stages to respond independently to different selective forces. Here I propose an additional potential advantage of CLCs that is, decreased variance in population growth rate due to habitat separation of life stages. Habitat separation of pre- and post-metamorphic stages means that the stages will experience different regimes of environmental variability. This is in contrast to species with simple life cycles (SLC) whose life stages often occupy one and the same habitat. The correlation in the fluctuations of the vital rates of life stages is therefore likely to be weaker in complex than in simple life cycles. By a theoretical framework using an analytical approach, I have (1) derived the relative advantage, in terms of long-run growth rate, of CLC over SLC phenotypes for a broad spectrum of life histories, and (2) explored which life histories that benefit most by a CLC, that is avoid correlation in vital rates between life stages. The direction and magnitude of gain depended on life history type and fluctuating vital rate. One implication of our study is that species with CLCs should, on average, be more robust to increased environmental variability caused by global warming than species with SLCs.
A Markov-switching dynamic regression analysis of the asymmetries related to the determinants of US crude oil production between 1982 and 2019
Authors: Temkeng Serge Djoudji , Fofack Achille Dargaud 
Published: January 2021

AbstractThe structural changes brought about by shale oil revolution have inspired this paper of which the aim is to analyze the potential asymmetries related to the determinants of crude oil production in the USA. Thus, using a Markov-switching dynamic regression model in which parameters change when oil production moves from one regime to the other, it is found that for both oil production and oil relative importance, the regime that was dominant during the 1980s and the early 1990s when oil production in the USA was substantially high is the same regime that has once again become dominant in the decade corresponding to the shale oil revolution. Furthermore, the study reveals the existence of asymmetries in the relationship between US crude oil production and both manufacturing production and the consumer price index. Asymmetries are also found in the relationship between the relative importance US crude oil and manufacturing production. Finally, it is found that the intercept and the variance parameter also vary from one regime to the other, thus justifying the use of regime-dependent models.
Investigation of Spatial and Temporal Salinity Distribution in a River Dominated Delta through Idealized Numerical Modelling
Authors: Matsoukis Constantinos , Amoudry Laurent O. , Bricheno Lucy , Leonardi Nicoletta 
Published: January 2021

AbstractThe world’s river deltas are increasingly vulnerable due to pressures from human activities and environmental change. In deltaic regions, the distribution of salinity controls the resourcing of fresh water for agriculture, aquaculture and human consumption; it also regulates the functioning of critical natural habitats. Despite numerous insightful studies, there are still significant uncertainties on the spatio-temporal patterns of salinity across deltaic systems. In particular, there is a need for a better understanding of the salinity distribution across deltas’ channels and for simple predictive relationships linking salinity to deltas’ characteristics and environmental conditions. We address this gap through idealized three-dimensional modelling of a typical river-dominated delta configuration and by investigating the relationship between salinity, river discharge and channels’ bifurcation order. Model results are then compared with real data from the Mississippi River Delta. Results demonstrate the existence of simple one-dimensional and analytical relationships describing the salinity field in a delta. Salinity and river discharge are exponentially and negatively correlated. The Strahler-Horton method for stream labelling of the delta channels was implemented. It was discovered that salinity increases with decreasing stream order. These useful relationships between salinity and deltas’ bulk features and geometry might be applied to real case scenarios to support the investigation of deltas vulnerability to environmental change and the management of deltaic ecosystems.
Preoperatively diagnosed gastric collision tumor with mixed adenocarcinoma and gastrointestinal stromal tumor: a case report and literature review
Authors: Matsuno Kunihiko , Kanazawa Yoshikazu , Kakinuma Daisuke , Hagiwara Nobutoshi , Ando Fumihiko , Masuda Yuka , Fujita Itsuo , Arai Hiroki , Nomura Tsutomu , Kato Shunji , Yoshiyuki Toshiro , Peng Wei-Xia , Yoshida Hiroshi 
Published: January 2021

AbstractReports of gastric collision tumors, comprising adenocarcinoma and gastrointestinal stromal tumor, are extremely rare. Here, we report the case of a 68-year-old male who was diagnosed with a lower-body, moderately differentiated, tubular-type adenocarcinoma and submucosal tumor and underwent an elective D2 distal gastrectomy. The tumor cells of the gastrointestinal stromal tumor were positive for H-caldesmon and CD117, weakly positive for smooth muscle actin and DOG-1, and negative for desmin, S-100 protein, CD31, and AE1/AE3. The tumor had grown into a mixed form of adenocarcinoma and gastrointestinal stromal tumor. Thus, we report the first case of a preoperatively diagnosed collision tumor in the stomach consisting of adenocarcinoma and gastrointestinal stromal tumor.
The Threats of Artificial Intelligence Scale (TAI)
Authors: Kieslich Kimon , Lünich Marco , Marcinkowski Frank 
Published: January 2021

AbstractIn recent years Artificial Intelligence (AI) has gained much popularity, with the scientific community as well as with the public. Often, AI is ascribed many positive impacts for different social domains such as medicine and the economy. On the other side, there is also growing concern about its precarious impact on society and individuals, respectively. Several opinion polls frequently query the public fear of autonomous robots and artificial intelligence, a phenomenon coming also into scholarly focus. As potential threat perceptions arguably vary with regard to the reach and consequences of AI functionalities and the domain of application, research still lacks necessary precision of a respective measurement that allows for wide-spread research applicability. We propose a fine-grained scale to measure threat perceptions of AI that accounts for four functional classes of AI systems and is applicable to various domains of AI applications. Using a standardized questionnaire in a survey study (N = 891), we evaluate the scale over three distinct AI domains (medical treatment, job recruitment, and loan origination). The data support the dimensional structure of the proposed Threats of AI (TAI) scale as well as the internal consistency and factoral validity of the indicators. Implications of the results and the empirical application of the scale are discussed in detail. Recommendations for further empirical use of the TAI scale are provided.
Melatonin Improves Drought Resistance in Maize Seedlings by Enhancing the Antioxidant System and Regulating Abscisic Acid Metabolism to Maintain Stomatal Opening Under PEG-Induced Drought
Authors: Li Zhuo , Su Xiaoyu , Chen Yulu , Fan Xiaocong , He Lingzhi , Guo Jiameng , Wang Yongchao , Yang Qinghua 
Published: January 2021

AbstractMaize (Zea mays L.) is highly sensitive to drought stress, resulting in large losses in yield; therefore, strategies aimed at enhancing drought tolerance are essential. Melatonin improves stress tolerance in plants; however, its mechanism in maize seedlings under drought stress remains unknown. Therefore, we investigated the effects of foliar-sprayed melatonin (100 umol L−1) on the antioxidant system, photosynthetic gas exchange parameters, stomatal behavior, endogenous melatonin and abscisic acid (ABA)-related gene expression in maize seedling leaves under 20% polyethylene glycol (PEG)-induced drought stress. PEG treatment resulted in oxidative stress and stomatal closure, resulting in chlorophyll degradation and inhibition of photosynthesis; thereby, reducing seedling biomass. Melatonin pretreatment significantly improved the relative water content, photosynthetic gas exchange parameters and stomatal behavior; thereby, maintaining chlorophyll contents and photosynthesis. Melatonin also stimulated the antioxidant system, enhancing the clearance of reactive-oxygen species, preventing severe damage under PEG-induced drought. Pre-treatment also increased endogenous melatonin and inhibited up-regulation of NCED1, an ABA synthesis-related gene, as well as selectively up-regulating ABA catabolic genes ABA8ox1 and ABA8ox3, reducing ABA accumulation and inducing stomatal reopening. Overall, these findings suggest that melatonin pre-treatment alleviated the inhibitory effects of drought stress on photosynthesis, enhancing tolerance in maize seedlings.
Application of big data in healthcare: examination of the military experience
Authors: Berry David 
Published: January 2021

AbstractHealthcare is fully embracing the promise of Big Data for improving performance and efficiency. Such a paradigm shift, however, brings many unforeseen impacts both positive and negative. Healthcare has largely looked at business models for inspiration to guide model development and practical implementation of Big Data. Business models, however, are limited in their application to healthcare as the two represent a complicated system versus a complex system respectively. Healthcare must, therefore, look toward other examples of complex systems to better gauge the potential impacts of Big Data. Military systems have many similarities with healthcare with a wealth of systems research, as well as practical field experience, from which healthcare can draw. The experience of the United States Military with Big Data during the Vietnam War is a case study with striking parallels to issues described in modern healthcare literature. Core principles can be extracted from this analysis that will need to be considered as healthcare seeks to integrate Big Data into its active operations.
On-farm trees are a safety net for the poorest households rather than a major contributor to food security in Rwanda
Authors: Ndoli Alain , Mukuralinda Athanase , Schut Antonius G. T. , Iiyama Miyuki , Ndayambaje Jean Damascene , Mowo Jeremias G. , Giller Ken E. , Baudron Frédéric 
Published: January 2021

AbstractThe world is challenged to meet the food demand of a growing population, especially in developing countries. Given the ambitious plans to scale up agroforestry in Africa, an improved understanding of the effect of agroforestry practices on the already challenged food security of rural households is crucial. The present study was undertaken to assess how on-farm trees impacted food security in addition to other household income sources in Rwanda. In each of the six agroecologies of Rwanda, a stratified sampling procedure was used where two administrative cells (4th formal administrative level) were selected in which households were randomly selected for interviews. A survey including 399 farmers was conducted and farmers were grouped in three types of agroforestry practice (i) low practitioners (LAP) represented by the first tertile, (ii) medium practitioners (MAP) represented by the second tertile and (iii) high practitioners (HAP) represented by the third tertile of households in terms of tree number. Asset values, household income sources, crop production, farm size, crop yield, and food security (food energy needs) were quantified among the types of agroforestry practice. A larger proportion of HAP households had access to adequate quantity and diversity of food when compared with MAP and LAP households. Food security probability was higher for households with more resources, including land, trees and livestock, coinciding with an increased crop and livestock income. We found no difference in asset endowment among types of agroforestry practices, while farmers in agroecologies with smaller farms (0.42 ha to 0.66 ha) had more on-farm trees (212 to 358 trees per household) than farms in agroecologies with larger farms (0.96 ha to 1.23 ha) which had 49 to 129 trees per household, probably due to differences in biophysical conditions. A positive association between tree density and food security was found in two out of six agroecologies. The proportion of income that came from tree products was high (> 20%) for a small fraction of farmers (12%), with the more food insecure households relying more on income from tree products than households with better food security status. Thus, tree income can be percieved as a “safety net” for the poorest households.