bluuebunny/crossref_metadata_2025_split huggingface dataset:
Maternal choline supplementation during pregnancy to promote mental health in offspring
Authors: Spoelstra S. K. , Eijsink J. J. H. , Hoenders H. J. R. , Knegtering H. 
Published: April 2023

AbstractAimThere is increasing interest in the role of choline in brain development, including its possible role in promoting mental health and preventing mental illness. Choline is an essential micronutrient in fetal brain maturation. In more than 90% of pregnant women, choline intake has been found to be lower than the daily‐recommended dose. The aim of this article is to review what is known about the effects of maternal choline supplementation on fetal brain development, early child development and mental health.MethodsA narrative review of the literature.ResultsA limited number of studies suggest that maternal choline supplementation during pregnancy may enhance fetal brain development and improve early signs and symptoms that may predispose to mental illness.ConclusionThe general low maternal choline intake during pregnancy, expected health benefits and low risks, make a plea for maternal choline supplementation to promote mental health. Choline supplementation may be especially important for pregnant women with a (family) history of severe mental illness and/or alcohol dependence.
Coping with imbalanced data problem in digital mapping of soil classes
Authors: Sharififar Amin , Sarmadian Fereydoon 
Published: April 2023

AbstractAn unsolved problem in the digital mapping of categorical soil variables and soil types is the imbalanced number of observations, which leads to reduced accuracy and the loss of the minority class (the class with a significantly lower number of observations compared to other classes) in the final map. So far, synthetic over‐ and under‐sampling techniques have been explored in soil science; however, more efficient approaches that do not have the drawbacks of these techniques and guarantee retention of the minority classes in the produced map are essentially required. Such approaches suggested in the present study for digital mapping of soil classes include machine learning models of ensemble gradient boosting, cost‐sensitive learning and one‐class classification (OCC) of the minority class combined with multi‐class classification. In this regard, extreme gradient boosting (XGB) as an ensemble gradient learner, a cost‐sensitive decision tree (CSDT) within the C5.0 algorithm, and a one‐class support vector machine combined with multi‐class classification (OCCM) were investigated to map eight soil great groups with a naturally imbalanced frequency of observations in northwest Iran. A total of 453 profile data points were used for mapping the soil great groups of the study area. A data split was done manually for each class separately, which resulted in an overall 70% of the data for calibration and 30% for validation. The bootstrapping approach of calibration (with 10 runs) was performed to produce multiple maps for each model. The 10 bootstraps were evaluated against the hold‐out validation dataset. The average values of accuracy measures, including Kappa (K), overall accuracy (OA), producer's accuracy (PA) and user's accuracy (UA), were explored. In addition, the results of this study were compared with a previous study in the same area, in which resampling techniques were used to deal with imbalanced data for digital soil class mapping. The findings show that all three suggested methods can deal well with the imbalanced classification problem, with OCCM showing the highest K (= 0.76) and OA (= 82) in the validation stage. Also, this model can guarantee the retention of the minority classes in the final map. Comparing the present approaches with the previous study approach demonstrates that the three newly suggested methods can remarkably increase both overall and individual class accuracy for mapping.
Molecular systems biology approaches to investigate mechanisms of gut−brain communication in neurological diseases
Authors: Boris Vandemoortele , Vanessa Vermeirssen 
Published: April 2023

AbstractBackgroundWhilst the incidence of neurological diseases is increasing worldwide, treatment remains mostly limited to symptom management. The gut−brain axis, which encompasses the communication routes between microbiota, gut and brain, has emerged as a crucial area of investigation for identifying new preventive and therapeutic targets in neurological disease.MethodsDue to the inter‐organ, systemic nature of the gut−brain axis, together with the multitude of biomolecules and microbial species involved, molecular systems biology approaches are required to accurately investigate the mechanisms of gut−brain communication. High‐throughput omics profiling, together with computational methodologies such as dimensionality reduction or clustering, machine learning, network inference and genome‐scale metabolic models, allows novel biomarkers to be discovered and elucidates mechanistic insights.ResultsIn this review, the general concepts of experimental and computational methodologies for gut−brain axis research are introduced and their applications are discussed, mainly in human cohorts. Important aspects are further highlighted concerning rational study design, sampling procedures and data modalities relevant for gut−brain communication, strengths and limitations of methodological approaches and some future perspectives.ConclusionMulti‐omics analyses, together with advanced data mining, are essential to functionally characterize the gut−brain axis and put forward novel preventive or therapeutic strategies in neurological disease.
Soluble adenylyl cyclase contributes to imiquimod‐mediated inflammation and is a potential therapeutic target in psoriasis
Authors: You Jaewon , Reilly Michael D. , Eljalby Mahmoud , Bareja Rohan , Yusupova Maftuna , Vyas Nikki S. , Bang Jakyung , Ding Wanhong , Desman Garrett , Miller Lloyd S. , Elemento Olivier , Granstein Richard D. , Zippin Jonathan H. 
Published: April 2023

AbstractCyclic AMP (cAMP) has a key role in psoriasis pathogenesis, as indicated by the therapeutic efficacy of phosphodiesterase inhibitors that prevent the degradation of cAMP. However, whether soluble adenylate cyclase (sAC) (encoded by the ADCY10 gene), which is an important source for cAMP, is involved in Th17 cell‐mediated inflammation or could be an alternative therapeutic target in psoriasis is unknown. We have utilized the imiquimod model of murine psoriasiform dermatitis to address this question. Adcy10−/− mice had reduced erythema, scaling and swelling in the skin and reduced CD4+ IL17+ cell numbers in the draining lymph nodes, compared with wild‐type mice after induction of psoriasiform dermatitis with imiquimod. Keratinocyte‐specific knock out of Adcy10 had no effect on imiquimod‐induced ear swelling suggesting keratinocyte sAC has no role in imiquimod‐induced inflammation. During Th17 polarization in vitro, naive T cells from Adcy10−/− mice exhibited reduced IL17 secretion and IL‐17+ T‐cell proliferation suggesting that differentiation into Th17 cells is suppressed without sAC activity. Interestingly, loss of sAC did not impact the expression of Th17 lineage‐defining transcription factors (such as Rorc and cMaf) but rather was required for CREB‐dependent gene expression, which is known to support Th17 cell gene expression. Finally, topical application of small molecule sAC inhibitors (sACi) reduced imiquimod‐induced psoriasiform dermatitis and Il17 gene expression in the skin. Collectively, these findings demonstrate that sAC is important for psoriasiform dermatitis in mouse skin. sACi may provide an alternative class of topical therapeutics for Th17‐mediated skin diseases.
Drug–drug interaction extraction‐based system: An natural language processing approach
Authors: Machado José , Rodrigues Carla , Sousa Regina , Gomes Luis Mendes 
Published: April 2023

AbstractPoly‐medicated patients, especially those over 65, have increased. Multiple drug use and inappropriate prescribing increase drug–drug interactions, adverse drug reactions, morbidity, and mortality. This issue was addressed with recommendation systems. Health professionals have not followed these systems due to their poor alert quality and incomplete databases. Recent research shows a growing interest in using Text Mining via NLP to extract drug–drug interactions from unstructured data sources to support clinical prescribing decisions. NLP text mining and machine learning classifier training for drug relation extraction were used in this process. In this context, the proposed solution allows to develop an extraction system for drug–drug interactions from unstructured data sources. The system produces structured information, which can be inserted into a database that contains information acquired from three different data sources. The architecture outlined for the drug–drug interaction extraction system is capable of receiving unstructured text, identifying drug entities sentence by sentence, and determining whether or not there are interactions between them.
Recruiting and retaining sexual and gender minority couples in intervention research: Lessons learned from trials of tailored relationship education programs
Authors: Whitton Sarah W. , Sarno Elissa L. , Josza Kyle , Garcia Christopher P. , Newcomb Michael E. 
Published: April 2023

AbstractRelationship interventions, including healthy relationship education, couple therapy, and dyadic approaches to treating mental and physical health issues, hold promise for promoting relationship and individual health among sexual and gender minority (SGM) populations. Because SGM couples live within a context of societal stigma against their minority identities and relationships, they are likely to be best served by targeted, culturally sensitive relationship interventions that are affirming, free of hetero‐ and cis‐normativity, and address the unique stigma‐based challenges that they face. Therefore, a key goal for the field today is to conduct research evaluating and refining newly developed relationship interventions designed specifically for SGM couples. In this paper, we offer recommendations for effectively recruiting and retaining large, diverse samples of SGM couples for clinical trials of tailored relationship interventions, grounded in guidelines for psychological practice and conducting research with SGM populations. Throughout, we offer examples and lessons learned from our experiences conducting clinical trials of tailored SGM relationship education programs. We encourage the use of recruitment and retention strategies that involve members of the target SGM community from the outset, are informed by knowledge about SGM individuals and relationships, use currently preferred language for individual identities and relationships, attend to issues of confidentiality regarding sexual/gender identity or relationship involvement, and adhere to the norms of the particular community and recruitment venue.
E‐commerce sellers' ratings: Is user feedback adequate?
Authors: Das P. K. , Kumar Talleen 
Published: April 2023

AbstractThe literature on the theory of public procurement points out two well‐known informational problems arising out of information asymmetry: (i) adverse selection and (ii) moral hazard. To reduce these issues and foster credibility and trust in the procurement process while maintaining quality and efficiency in public procurement, e‐procurement platforms have turned to reputation or rating systems. Therefore, the research and design of such rating systems are crucial. In this study, we discuss the theoretical underpinnings of procurement and employ the information‐theoretic, regression analysis, artificial neural network and principal component analysis (PCA) approaches to estimate the weights of the variables entering the rating system. Using real data from Government e‐Marketplace, a business‐to‐business public e‐commerce portal, we empirically determine the weights of the rating variables derived from the transaction‐level and user feedback data for sellers. The weights obtained from the PCA are the most applicable compared with the other three methods. We compare the old rating system with the newly proposed design using the Wilcoxon signed‐rank test. This results in a statistically significant difference between the two ratings. The canonical correlation and Wilks' trial reveal that the ratings derived from transaction‐level data and user feedback are uncorrelated to a great extent. Hence, considering only transaction‐level data oruser feedbackis unlikely to divulge sellers' intrinsic worth. E‐commerce platforms can use this approach to quickly implement methods to obtain rating scores on a real‐time basis for sellers on online platforms.
How similar is similar enough? Job profile similarity benchmarks using occupational information network data
Authors: Abraham Joseph D. , Lambert Dawn D. , Mihalecz Michael C. , Elcott Monica D. , Asbury Hannah S. , Palmer Penelope C. 
Published: April 2023

AbstractJob comparison research is critical to many human resources initiatives, such as transporting validity evidence. Job analysis methods often focus on critical attribute (e.g., tasks, work behaviors) overlap when assessing similarity, but profile similarity metrics represent an alternative or complementary approach for job comparisons. This paper utilizes Occupational Information Network (O*NET) data to establish a distribution of job profile correlations across all job pairs for five attributes – generalized work activities, knowledge, skills, abilities, and work styles. These correlations represent effect sizes, or degree of shared variance between jobs. Practitioners may reference these correlational distributions as benchmarks for gauging the practical significance of the observed degree of similarity between two jobs of interest compared to the broader world of work.
Exploring care leavers' agency in achieving entry into the world of work: A cross‐national study in six countries
Authors: Johansson Helena , Sjöblom Yvonne , Höjer Ingrid , Gilligan Robbie , Arnau‐Sabatés Laura , Pazlarová Hana , Soyez Veerle , Stoddart Jill 
Published: April 2023

AbstractThis article draws attention to the relevance of young care leavers' exercise of agency as one possible key ingredient in overcoming barriers to engagement in work. Several previous studies show difficulties in entering adult life, both in relation to higher and further education as well as entrance into work life. The article analyses interviews with young adults from six countries, who have spent at least part of their childhood and youth in out‐of‐home care and the results indicate that the care leavers have the ability to make plans and set up goals for the future that they in many cases are able to achieve or at least are striving for over time. In many instances, they show a strong motivation, for example, to educate themselves pursuing their goals. To support this transition of young care leavers, it is important to listen to ‘successful’ cases such as the ones presented.
Fiscal decentralisation and provincial level service delivery in Sri Lanka: An econometric analysis
Authors: Mudalige Priyantha W. , De Silva Saliya , Cooray N. S. 
Published: April 2023

AbstractThe introduction of Sri Lanka's Provincial Councils has been a part of the country's efforts to decentralise its political, administrative and fiscal powers to the local governments since 1987. One primary reason for the debates on decentralisation is the non‐existence of quantification of the impacts of fiscal decentralisation on the local governments’ service delivery. This study aims to quantify the effects of fiscal decentralisation on Sri Lanka's service delivery using time‐series data from 1988 to 2018. This investigation employs the Autoregressive Distributed Lag (ARDL) modelling approach and uses a broad range of secondary data. The widely used ARDL modelling approach provides fiscal decentralisation's short‐run and long‐run impact. The results reveal that fiscal decentralisation has had either insignificant or unexpected short‐ or long‐term effects on primary school enrolment and human development index. According to these results, it may be concluded that sufficient fiscal decentralisation has not taken place to provide the necessary funds to improve service delivery. The policymakers should consider restructuring the expenditure and revenue structure of the Provincial Councils. Finally, greater coordination is required between the central government and Provincial Councils in implementing decentralised activities.
The effects of patchouli alcohol and combination with cisplatin on proliferation, apoptosis and migration in B16F10 melanoma cells
Authors: Chang Kai‐Fu , Lai Hung‐Chih , Lee Shan‐Chih , Huang Xiao‐Fan , Huang Ya‐Chih , Chou Tien‐Erh , Hsiao Chih‐Yen , Tsai Nu‐Man 
Published: April 2023

AbstractMelanoma is a highly metastatic cancer with a low incidence rate, but a high mortality rate. Patchouli alcohol (PA), a tricyclic sesquiterpene, is considered the main active component in Pogostemon cablin Benth, which improves wound healing and has anti‐tumorigenic activity. However, the pharmacological action of PA on anti‐melanoma remains unclear. Thus, the present study aimed to investigate the role of PA in the proliferation, cell cycle, apoptosis and migration of melanoma cells. These results indicated that PA selectively inhibited the proliferation of B16F10 cells in a dose‐ and time‐dependent manner. It induced cell cycle arrest at the G0/G1 phase and typical morphological changes in apoptosis, such as chromatin condensation, DNA fragmentation and apoptotic bodies. In addition, PA reduced the migratory ability of B16F10 cells by upregulating E‐cadherin and downregulating p‐Smad2/3, vimentin, MMP‐2 and MMP‐9 expression. PA was also found to strongly suppress tumour growth in vivo. Furthermore, PA combined with cisplatin synergistically inhibited colony formation and migration of B16F10 cells and attenuated the development of resistance to treatment. Therefore, the results of this study indicate that PA may play a pivotal role in inducing apoptosis and reducing the migration of melanoma cells, and may thus be a potential candidate for melanoma treatment.
A new species of Parauchenoglanis (Auchenoglanididae: Siluriformes) from the Upper Lualaba River (Upper Congo), with further evidence of hidden species diversity within the genus
Authors: Sithole Yonela , Musschoot Tobias , Huyghe Charlotte E. T. , Chakona Albert , Vreven Emmanuel J. W. M. N. 
Published: April 2023

AbstractParauchenoglanis zebratus sp. nov. is a new species endemic to the Upper Lualaba in the Upper Congo Basin. It is distinguished from all its congeners known from the Congo Basin and adjacent basins by the presence of (1) distinctive dark‐brown or black vertical bars on the lateral side of the body, at least for specimens about ≥120 mm LS, (2) a broad and triangular humeral process embedded under the skin and (3) a well‐serrated pectoral‐fin spine. Genetic analysis based on mtDNA COI sequences confirmed the genetic distinctiveness (2.8%–13.6% K2P genetic divergence) of P. zebratus sp. nov. from congeners within the Congo and adjacent river basins. The study also revealed additional undocumented diversity within P. ngamensis, P. pantherinus, P. punctatus and P. balayi, indicating the need for further in‐depth alpha‐taxonomic attention to provide more accurate species delimitations for this genus. The discovery of yet another new species endemic to the Upper Lualaba, and this well outside the currently established protected areas, highlights the critical need for further assessments to accurately document the species diversity to guide freshwater conservation prioritisation and biodiversity management in this region.
The effect of the Money Market Mutual Fund Liquidity Facility (MMLF) on corporate short‐term borrowing costs
Authors: Jang Karen Y. 
Published: April 2023

AbstractIn this article, I study the effect of the Money Market Fund Liquidity Facility (MMLF) on corporate short‐term borrowing costs. Although MMLF loans accept a broader range of collateral acquired from money market funds (MMFs) than Asset‐Backed Commercial Paper Money Market Mutual Fund Liquidity Facility (AMLF) loans, their higher loan rates could make the intervention less effective. I find the average yield has decreased by 20–24 basis points. The yield‐decreasing effects of the MMLF are stronger for securities issued by eligible non‐US firms, non‐asset‐backed commercial paper securities that are newly accepted as collateral under the MMLF, and securities held by affiliated MMFs. However, I do not find an additional yield‐decreasing effect of the MMLF on lower rated securities or nonfinancial sector securities. After the implementation of the MMLF, domestic MMFs seem to increase the weight of nonfinancial sector securities, which helps them achieve a higher return.
Blockholder mutual fund participation in private in‐house meetings
Authors: Bowen Robert M. , Dutta Shantanu , Tang Songlian , Zhu Pengcheng 
Published: April 2023

AbstractThe Shenzhen Stock Exchange (SZSE) in China is unique worldwide in requiring disclosure of the timing, participants, and selected content of private in‐house meetings between firm managers and outsider investors. We investigate whether these private meetings benefit hosting firms and their major outside institutional investors—blockholder mutual funds (i.e., funds with ownership ≥5%). Using a large data set of SZSE firms, we find that blockholder mutual funds have more access to private in‐house meetings, and top management is more likely to be present, especially when a meeting is associated with negative news. Furthermore, when blockholder mutual funds attend negative‐news meetings with top management, they are less likely to sell shares, their investment relationship with the hosting firm lasts longer, and hosting firms experience lower postmeeting stock return volatility. These findings suggest that private in‐house meetings are an informative disclosure channel that improves social bonding between top management and blockholder mutual funds in ways that benefit hosting firms.