bluuebunny/crossref_metadata_2025_split huggingface dataset:
The performance monitoring system is attuned to others’ actions during dyadic motor interactions
Authors: Moreau Quentin , Tieri Gaetano , Era Vanessa , Aglioti Salvatore Maria , Candidi Matteo 
Published: February 2022

Abstract
Interpersonal motor interactions require the simultaneous monitoring of one’s own and one’s partner’s actions. To characterize how the action monitoring system tracks self and other behavior during synchronous interactions, we combined electroencephalography recordings and immersive virtual reality in two tasks where participants were asked to synchronize their actions with those of a virtual partner (VP). The two tasks differed in the features to be monitored: the Goal task required participants to predict and monitor the VP’s reaching goal; the Spatial task required participants to predict and monitor the VP’s reaching trajectory. In both tasks, the VP performed unexpected movement changes to which the participant needed to adapt. By extracting the neural activity locked to the detection of unexpected changes in the VP’s action (other-monitoring) or to the participants’ action-replanning (self-monitoring), we show that the monitoring system is more attuned to others’ than to one’s own actions. Additionally, distinctive neural responses to VP’s unexpected goals and trajectory corrections were found: goal changes were reflected both in early fronto-central and later posterior neural responses while trajectory deviations were reflected only in later posterior responses. Altogether, our results indicate that the monitoring system adopts an inherent social mode to handle interpersonal motor interactions.
Simplified High Level Parallelism Expression on Heterogeneous Systems through Data Partition Pattern Description
Authors: Wu Shusen , Dong Xiaoshe , Chen Heng , Wang Longxiang , Wang Qiang , Zhu Zhengdong 
Published: February 2022

Abstract
With the development of heterogeneous systems, the demand for high-level programming methods that ease heterogeneous programming and produce portable applications has become more urgent. This paper proposes DACL, the data associated computing language. DACL introduces data partition patterns to achieve architecture-independent parallelism expression. Meanwhile, DACL provides simplified language extensions, as well as programming features such as serialization of the computing process, parameterization of data attributes and modularity, thus reducing the difficulty of heterogeneous programming and improving programming productivity. The operational semantics show that DACL enables different levels of parallelism degree calculation and retains data access patterns, reserving optimization potential. To support cross-platform execution, the currently implemented source-to-source compilers employ OpenMP and OpenCL as the backend. We reconstructed multiple benchmarks selected from the Parboil and Rodinia benchmark suits with DACL and conducted a comparison test on CPU, GPU and MIC platforms. The code size of each rebuilt benchmark is roughly equivalent to that of the serial code, which is only 13%–64% of the benchmark OpenCL code. With the support of the compilation system, the reconstructed code can execute on different processors without modification, yielding a competitive or better performance to that of the manually written benchmark code.
The Role of Schools in Supporting Students Experiencing Homelessness: Perceptions of School Staff
Authors: Wagaman M Alex , Gattis Maurice N , Watts Keith J , Yabar Mauricio P , Blair Dmitri , Haynes Tiffany S , Williams Elaine G 
Published: February 2022

Abstract
Housing instability has a detrimental impact on the academic success of children and youth. Despite having federal policy to direct schools on how to identify and support students experiencing homelessness, many schools still face challenges to developing a systemwide approach that involves school staff in varying positions and addresses the unique needs of disproportionately impacted student populations. This study was conducted using secondary data analysis of a data set collected through participatory action research in a mid-Atlantic state across three school systems. Findings suggest that school staff are largely unaware of their own role in supporting students experiencing homelessness and need further training. Schools need more resources and community connections to support the needs of their students who are facing housing instability. The study suggests that a systems theory approach to understanding and responding to the needs of students experiencing homelessness will equip schools and their staff to be better positioned to effectively provide support that promotes academic achievement and well-being.
Asynchrony in Seasonal Patterns of Taxonomic and Functional Diversity in an Aboveground Ant (Hymenoptera: Formicidae) Community (Florida, USA)
Authors: Ohyama Leo 
Published: February 2022

Abstract
Seasonal dynamics of diversity patterns are a key component to understand when assessing ecological communities across temporal scales given that long-term trends in diversity are often a product of the intricate dynamisms that occur at shorter temporal scales. However, seasonal trends in diversity are usually dependent on local-scale conditions, such as habitat types or the demographic characteristics of a given fauna, thus requiring better data coverage from consistent local-scale sampling. Furthermore, the assessment of seasonal dynamics in the context of functional diversity derived from trait-based data is often lacking in many important taxa such as insects. In this study, I quantify and describe the diversity of a Floridian subtropical aboveground ant community from monthly sampling across seasons using both contemporary taxonomic diversity metrics and functional diversity metrics. Results show differences in the timing of peaks across different diversity metrics. Species richness and abundances peak in months leading up to wet seasons while functional richness and divergence peak near the end of the wet season. This asynchrony is likely a result of species-specific differences in natural histories and demographic dynamics. While clear temporal dynamics are observed across diversity metrics, differences between wet or dry seasons were lacking for all metrics except functional richness. Fine-scale sampling data of seasonal trends in insect communities compiled from studies like this will be essential tools for future assessments and predictions of insect biodiversity.
Vitamin D levels in primary care patients: correlations with clinical, seasonal, and quality-of-life parameters
Authors: Bouloukaki Izolde , Markakis Manolis , Pateli Rodanthi , Lyronis Ioannis , Schiza Sophia , Tsiligianni Ioanna 
Published: February 2022

AbstractBackgroundThe prevalence of vitamin D deficiency varies across countries and few data exist in the adult population in Greece.ObjectivesTo assess vitamin D levels in unselected patients from primary care and to investigate possible correlations with clinical, seasonal, and quality-of-life parameters.MethodsIn this cross-sectional study, 389 consecutive patients were included. They were grouped according to vitamin D status as vitamin D deficient (&lt;20 ng/mL) and vitamin D sufficient groups (≥20 ng/mL). Demographic, Epworth Sleepiness Scale (ESS), Athens Insomnia Scale (AIS), Beck Depression Inventory (BDI), and Fatigue Severity Scale (FSS) scores were measured and compared between groups.ResultsVitamin D deficiency (&lt;20 ng/mL) was observed in 50.4% of the cohort. Female gender (76% vs 66%, P = 0.026), obesity (42% vs 26%, P = 0.005), and hypertension (55% vs 43%, P = 0.023) were higher in the vitamin D deficiency group compared with the group without deficiency. After multiparametric adjustments (for age, gender, obesity, comorbidities, and seasonality), hypertension (odds ratio [OR] = 2.338, 95% confidence interval [CI] = 1.257–4.349, P = 0.007), excessive daytime sleepiness (ESS &gt;10; OR = 3.345, 95% CI = 1.124–9.948, P = 0.029), depressive symptoms (BDI &gt;10; OR = 3.769, 95% CI = 0.984–14.443, P = 0.04), and fatigue (FSS &gt;36; OR = 7.157, 95% CI = 0.855–59.877, P = 0.04) showed significant independent associations with vitamin D deficiency in specific subgroups of patients.ConclusionA large proportion of patients in primary care had vitamin D deficiency, independently associated with hypertension, sleepiness, depressive symptoms, and fatigue. Further research is needed in order to determine the role of vitamin D in these patients.
Two ovarian candidate enhancers, identified by time series enhancer RNA analyses, harbor rare genetic variations identified in ovarian insufficiency
Authors: Nakagawa Ryuichi , Takasawa Kei , Gau Maki , Tsuji-Hosokawa Atsumi , Kawaji Hideya , Murakawa Yasuhiro , Takada Shuji , Mikami Masashi , Narumi Satoshi , Fukami Maki , Sreenivasan Rajini , Maruyama Tetsuo , Tucker Elena J , Zhao Liang , Bowles Josephine , Sinclair Andrew , Koopman Peter , Hayashizaki Yoshihide , Morio Tomohiro , Kashimada Kenichi 
Published: February 2022

Abstract
The genetic regulation of ovarian development remains largely unclear. Indeed, in most cases of impaired ovarian development—such as 46,XX disorders of sex development (DSD) without SRY, and premature ovarian insufficiency (POI)—the genetic causes have not been identified, and the vast majority of disease-associated sequence variants could lie within non-coding regulatory sequences. In this study, we aimed to identify enhancers of five ovarian genes known to play key roles in early ovarian development, basing our analysis on the expression of enhancer derived transcripts (eRNAs), which are considered to characterize active enhancers. Temporal expression profile changes in mouse WT1-positive ovarian cells were obtained from cap analysis of gene expression at E13.5, E16.5 and P0. We compared the chronological expression profiles of ovarian-specific eRNA with expression profiles for each of the ovarian-specific genes, yielding two candidate sequences for enhancers of Wnt4 and Rspo1. Both sequences are conserved between mouse and human, and we confirmed their enhancer activities using transient expression assays in murine granulosa cells. Furthermore, by sequencing the region in patients with impaired ovarian development in 24 patients, such as POI, gonadal dysgenesis and 46,XX DSD, we identified rare single nucleotide variants in both sequences. Our results demonstrate that combined analysis of the temporal expression profiles of eRNA and mRNA of target genes presents a powerful tool for locating cis-element enhancers, and a means of identifying disease-associated sequence variants that lie within non-coding regulatory sequences, thus advancing an important unmet need in forward human genetics.
The ciliary transition zone protein TMEM218 synergistically interacts with the NPHP module and its reduced dosage leads to a wide range of syndromic ciliopathies
Authors: Epting Daniel , Decker Eva , Ott Elisabeth , Eisenberger Tobias , Bader Ingrid , Bachmann Nadine , Bergmann Carsten 
Published: February 2022

Abstract
Mutations in genes that lead to dysfunctional cilia can cause a broad spectrum of human disease phenotypes referred to as ciliopathies. Many ciliopathy-associated proteins are localized to the evolutionary conserved ciliary transition zone (TZ) subdomain. We identified biallelic missense and nonsense mutations in the gene encoding the transmembrane protein TMEM218 in unrelated patients with features related to Bardet–Biedl, Joubert and Meckel–Gruber syndrome (MKS) and characterized TMEM218 as a major component of the ciliary TZ module. Co-immunoprecipitation assays resulted in the physical interaction of TMEM218 with the MKS module member TMEM67/Meckelin that was significantly reduced by the TMEM218 missense change harboured by one of our patients. We could further validate its pathogenicity by functional in vivo analysis in zebrafish (Danio rerio) as a well-established vertebrate model for ciliopathies. Notably, ciliopathy-related phenotypes were most prominent by genetic interactions with the NPHP module component Nphp4. Conclusively, we describe TMEM218 as a new disease gene for patients with a wide spectrum of syndromic ciliopathy phenotypes and provide evidence for a synergistic interaction of TMEM218 and the NPHP module crucial for proper ciliary function.
Multisystem involvement, defective lysosomes and impaired autophagy in a novel rat model of nephropathic cystinosis
Authors: Krohn Patrick , Rega Laura Rita , Harvent Marianne , Festa Beatrice Paola , Taranta Anna , Luciani Alessandro , Dewulf Joseph , Cremonesi Alessio , Camassei Francesca Diomedi , Hanson James V M , Gerth-Kahlert Christina , Emma Francesco , Berquez Marine , Devuyst Olivier 
Published: February 2022

Abstract
Recessive mutations in the CTNS gene encoding the lysosomal transporter cystinosin cause cystinosis, a lysosomal storage disease leading to kidney failure and multisystem manifestations. A Ctns knockout mouse model recapitulates features of cystinosis, but the delayed onset of kidney manifestations, phenotype variability and strain effects limit its use for mechanistic and drug development studies. To provide a better model for cystinosis, we generated a Ctns knockout rat model using CRISPR/Cas9 technology. The Ctns−/− rats display progressive cystine accumulation and crystal formation in multiple tissues including kidney, liver and thyroid. They show an early onset and progressive loss of urinary solutes, indicating generalized proximal tubule dysfunction, with development of typical swan-neck lesions, tubulointerstitial fibrosis and kidney failure, and decreased survival. The Ctns−/− rats also present crystals in the cornea, and bone and liver defects, as observed in patients. Mechanistically, the loss of cystinosin induces a phenotype switch associating abnormal proliferation and dedifferentiation, loss of apical receptors and transporters, and defective lysosomal activity and autophagy in the cells. Primary cultures of proximal tubule cells derived from the Ctns−/− rat kidneys confirmed the key changes caused by cystine overload, including reduced endocytic uptake, increased proliferation and defective lysosomal dynamics and autophagy. The novel Ctns−/− rat model and derived proximal tubule cell system provide invaluable tools to investigate the pathogenesis of cystinosis and to accelerate drug discovery.
The Inconsistencies of Age-Related Incapacity Thresholds in International Law: Child Rape Victims at a Disadvantage
Authors: Maravall-Buckwalter Isabel 
Published: February 2022

Abstract
Over the past few decades, the definition of rape has been the focus of widespread attention in international law. However, the circumstance of age-related incapacity in its definition has been left unexplored. While no definition of an age of sexual consent is found in international criminal law, though suggestions have been made in international criminal jurisprudence, other international legal frameworks have included clear and well-defined thresholds in their definitions, i.e. recruitment, trafficking, sale, prostitution, and pornography. This article argues that the vagueness of an undefined threshold in the rape definition, and the existing inconsistencies when compared with the other frameworks, are at odds with the evolving trends in international law on the treatment of consent and child victims. This leaves child rape victims at a comparative disadvantage, especially adolescent girls, who pervasively experience the consequences and harms derived from this vagueness and inconsistency.
Repellency Potential of Tomato Herbivore-Induced Volatiles Against the Greenhouse Whitefly (Trialeurodes vaporariorum) (Hemiptera: Aleyrodidae)
Authors: Deletre Emilie , Matu Francis Kiamba , Murungi Lucy Kananu , Mohamed Samira 
Published: February 2022

Abstract
The greenhouse whitefly, Trialeurode vaporariorum, is among the key pests of tomato (Solanum lycopersicum) in sub-Saharan Africa with Tuta absoluta, spider mite, thrips, and fruitworms. To understand the interaction between the pest and the plant’s herbivory-induced plant volatile (HIPVs), we investigated the repellency of four tomato cultivars (Kilele F1, Assila F1, Red Beauty F1, and Nemonneta F1) upon infestation by Trialeurode vaporariorum. We analyzed the behavioral response of T. vaporariorum to infested and uninfested tomato plants of these cultivars using olfactory bioassays followed by gas chromatography–mass spectrometry (GC–MS) analyses of emitted volatiles. Trialeurode vaporariorum was attracted to uninfested plants of all four tomato cultivars. However, two cultivars Kilele F1 and Red Beauty F1 were no longer attractive to the whitefly when they were already infested by the pest. GC–MS analyses identified 25 compounds, 18 monoterpenes, 3 sesquiterpenes, 2 xylenes, 1 aldehyde, and 1 carboxylic compound in the 4 uninfested and infested cultivars. Based on the insects’ behavioral response, 1,8-cineole, p-cymene, and limonene did not attract T. vaporariorum at varying concentrations when combined with Red Beauty F1, the most attractive tomato cultivar. This repellence behavioral response can be used as a basis for improvement of other vegetable crops for the management of arthropod pests as for odor masking technique.
Cancer Survivorship and Supportive Care Economics Research: Current Challenges and Next Steps
Authors: Nicholas Lauren Hersch , Davidoff Amy J , Howard David H , Keating Nancy L , Ritzwoller Debra P , Robin Yabroff K , Bradley Cathy J 
Published: February 2022

Abstract

Background
Rapid growth in the number of cancer survivors raises numerous questions about health and economic outcomes among survivors along with their families, caregivers, and employers. Health economics theory and methods can contribute to many open questions to improve survivorship.

Methods
In this paper, we review key areas where more research is needed and describe strategies for improving data infrastructure, research funding, and capacity building to strengthen survivorship health economics research.

Conclusions
Health economics has broadened an understanding of key supply- and demand-side factors that promote cancer survivorship. To ensure necessary research in survivorship health economics moving forward, we recommend dedicated funding, inclusion of health economics outcomes in primary data collection, and investments in secondary data sets.
Prediction of the potential mechanism of compound gingerol against liver cancer based on network pharmacology and experimental verification
Authors: Su Min , Wang Xueqin , Cao Gang , Sun Li , Ho Rodney J Y , Han Yanquan , Hong Yan , Wu Deling 
Published: February 2022

Abstract

Objectives
To explore gingerol’s potential mechanism for treating liver cancer using network pharmacology and molecular docking technology and to conduct in-vitro experiments of human liver cancer cell HepG2 to verify important signalling pathways.

Methods
We obtained potential targets of gingerol derivatives (6-gingerol, 8-gingerol and 10-gingerol) from PubChem and SwissTargetPrediction websites and collected related targets for liver cancer with the help of GeneCards. We performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis on key targets using the DAVID data platform and combined with Cytoscape 3.7.1 software to construct a component–target–signal pathway interaction map to study its mechanism of action. Subsequently, the components and key proteins were molecularly docked through Autodock Vina software. Finally, the important signal pathways were verified by HepG2 cell in-vitro experiments.

Key findings
A total of 318 drug targets were screened for gingerol derivatives, and 2509 gene targets related to liver cancer were collected. The Venn diagram showed that there were 104 intersection targets between gingerol derivatives and liver cancer. Module analysis results show that these intersection targets can be divided into 5 modules and 49 nodes. Bioinformatics analysis found that GO obtained 20 important functional items including cancer cell proliferation, protein kinase activity, phosphotransferase activity and kinase activity; KEGG enrichment analysis yielded a total of 20 key signal pathways including the PI3K–Akt signalling pathway. The results of molecular docking show that the binding energy of gingerol derivatives has good binding activity with PI3K and Akt. In-vitro experimental results show that gingerol derivatives and compound gingerol (compound gingerol is composed of 6-gingerol, 8-gingerol and 10-gingerol in a ratio of 7:1.5:1.5) can produce HepG2 cell proliferation inhibition, and each administration group can significantly increase the apoptosis rate of HepG2 cells and the fluorescence intensity of the nucleus and block the cell cycle in the S phase; the results of Western Blot and real-time quantitative PCR show that gingerol derivatives and compound gingerol can down-regulate the expression of Akt and p-Akt and up-regulate the expression of Bax/Bcl-2. And the effect of compound gingerol is more obvious than that of gingerol derivatives.

Conclusions
The results of network pharmacology and experimental validation suggest that gingerol derivatives and compound gingerol can act against liver cancer by acting on the PI3K-Akt signalling pathway.
The production of wax esters in transgenic plants: towards a sustainable source of bio-lubricants
Authors: Domergue Frédéric , Miklaszewska Magdalena 
Published: February 2022

Abstract
Wax esters are high-value compounds used as feedstocks for the production of lubricants, pharmaceuticals, and cosmetics. Currently, they are produced mostly from fossil reserves using chemical synthesis, but this cannot meet increasing demand and has a negative environmental impact. Natural wax esters are also obtained from Simmondsia chinensis (jojoba) but comparably in very low amounts and expensively. Therefore, metabolic engineering of plants, especially of the seed storage lipid metabolism of oil crops, represents an attractive strategy for renewable, sustainable, and environmentally friendly production of wax esters tailored to industrial applications. Utilization of wax ester-synthesizing enzymes with defined specificities and modulation of the acyl-CoA pools by various genetic engineering approaches can lead to obtaining wax esters with desired compositions and properties. However, obtaining high amounts of wax esters is still challenging due to their negative impact on seed germination and yield. In this review, we describe recent progress in establishing non-food-plant platforms for wax ester production and discuss their advantages and limitations as well as future prospects.