bluuebunny/crossref_metadata_2025_split huggingface dataset:
MDGF-MCEC: a multi-view dual attention embedding model with cooperative ensemble learning for CircRNA-disease association prediction
Authors: Wu Qunzhuo , Deng Zhaohong , Pan Xiaoyong , Shen Hong-Bin , Choi Kup-Sze , Wang Shitong , Wu Jing , Yu Dong-Jun 
Published: July 2022

Abstract
Circular RNA (circRNA) is closely involved in physiological and pathological processes of many diseases. Discovering the associations between circRNAs and diseases is of great significance. Due to the high-cost to verify the circRNA-disease associations by wet-lab experiments, computational approaches for predicting the associations become a promising research direction. In this paper, we propose a method, MDGF-MCEC, based on multi-view dual attention graph convolution network (GCN) with cooperative ensemble learning to predict circRNA-disease associations. First, MDGF-MCEC constructs two disease relation graphs and two circRNA relation graphs based on different similarities. Then, the relation graphs are fed into a multi-view GCN for representation learning. In order to learn high discriminative features, a dual-attention mechanism is introduced to adjust the contribution weights, at both channel level and spatial level, of different features. Based on the learned embedding features of diseases and circRNAs, nine different feature combinations between diseases and circRNAs are treated as new multi-view data. Finally, we construct a multi-view cooperative ensemble classifier to predict the associations between circRNAs and diseases. Experiments conducted on the CircR2Disease database demonstrate that the proposed MDGF-MCEC model achieves a high area under curve of 0.9744 and outperforms the state-of-the-art methods. Promising results are also obtained from experiments on the circ2Disease and circRNADisease databases. Furthermore, the predicted associated circRNAs for hepatocellular carcinoma and gastric cancer are supported by the literature. The code and dataset of this study are available at https://github.com/ABard0/MDGF-MCEC.
Decreased expression of GRIM-19 induces autophagy through the AMPK/ULK1 signaling pathway during adenomyosis
Authors: Huang YuFei , Zhao Yue , Liu HaoRan , Yang Yang , Cheng LaiYang , Deng XiaoHui , Chao Lan 
Published: July 2022

Abstract
The processes underlying adenomyosis are similar to those of tumor metastasis, and it is defined as progressive invasion by the endometrium and the subsequent creation of ectopic lesions. GRIM-19 regulates cell death via the mitochondrial respiratory chain. Stress following oxygen deprivation can induce tumor cell autophagy, leading to cell invasion and migration. Here, we revealed that GRIM-19 negatively regulates autophagy, and, at least in adenomyosis, decreased expression of GRIM-19 is accompanied by an increased level of autophagy and 5′-adenosine monophosphate-activated protein kinase-Unc-51 like autophagy activating kinase 1 (AMPK-ULK1) activation. Upregulation of GRIM-19 expression in human primary endometrial cells and ISHIKAWA cells inhibits autophagy via the AMPK-ULK1 pathway and helps control cell invasion and migration. In addition, we also identified increased expression of AMPK and ULK1, and higher levels of autophagy in the uterine tissues of GRIM-19+/− mice. Importantly, the function of the GRIM-19-AMPK-ULK1 axis in regulating autophagy in adenomyosis is similar to that of tumor tissues, which may help elucidate the regulation of adenomyosis tumor-like behavior, and is expected to help identify novel targets for the diagnosis and treatment of adenomyosis.
Genomic testing in premature ovarian insufficiency: proceed with caution
Authors: Tucker Elena J , Tan Tiong Y , Stark Zornitza , Sinclair Andrew H 
Published: July 2022

Abstract
Genomic testing has the potential to transform outcomes for women with infertility conditions, such as premature ovarian insufficiency (POI), with growing calls for widespread diagnostic use. The current research literature, however, often uses poor variant curation leading to inflated diagnostic claims and fails to address the complexities of genomic testing for this condition. Without careful execution of the transition from research to the clinic, there is danger of inaccurate diagnoses and poor appreciation of broader implications of testing. This Forum outlines the benefits of genomic testing for POI and raises often overlooked concerns.
Chromatographic Analysis of Aqueous Humor of Bupivacaine in Different Administration Approaches
Authors: Dinçel Aysun , Kızıltunç Pınar Bingöl , Atilla Huban , Onur Feyyaz , Demirel Sibel 
Published: July 2022

Abstract
Different administration approaches were investigated for the selection of bupivacaine administration type and a sensitive high-performance liquid chromatographic (HPLC) method has been developed. Developed method was validated and applied for the determination of bupivacaine in rabbit aqueous humor. The separation was achieved using a XTerra, C8 (250 × 8 mm i.d., particle size 5 μm) analytical column with a mobile phase consisted of acetonitrile and sodium dihydrogen phosphate (pH = 3.0, 20 mM; 30:70, v/v). Bupivacaine detection was performed by Diode Array detector (DAD) at 220 nm. The retention times for bupivacaine is 15.886 min. HPLC-DAD method was linear in the range of 75–4000 ng/mL. The limit of detection was 25 ng/mL and the limit of quantification of bupivacaine was found to be 75 ng/mL (relative standard deviation, RSD ≤ 15%, n = 6). In intra-day and inter-day precision and accuracy analysis, the RSD was found to be in the range of 0.96 and 7.98%, the bias values were 0.64 and 3.33%. Method was carried out for three different type of bupivacaine application because of the investigation of effective drug administration. Twenty aqueous humor samples were in the range of 0.642 and 5.124 μg/mL.
Handling uncertainties in forest information: the hierarchical forest planning process and its use of information at large forest companies
Authors: Ulvdal Patrik , Öhman Karin , Eriksson Ljusk Ola , Wästerlund Dianne Staal , Lämås Tomas 
Published: July 2022

AbstractThis qualitative study aimed to map what information is used in the forest planning process at large forest-owning companies, how it is used, its level of uncertainty and currently employed strategies to handle forest information uncertainty. An additional aim was to assess the status of the paradigm of the forest planning hierarchy in forestry. We used data from semi-structured interviews with representatives of six large forest-owning companies in Sweden, representing 30 per cent of the productive forest land in the country. Our results show that the forest planning process is a hierarchical system of decisions where the information used in the different planning stages is of varying quality and that the traditional hierarchical planning paradigm still plays a vital role in forestry. The most central source of information in the whole forest-planning process is the forest stand database (forest inventory). This includes uncertain information from various sources, including subjective field measurements and aerial image interpretation. However, the use of remote sensing estimates to feed the databases is increasing, which will probably improve the overall quality. Another important finding is that forest companies tend not to use decision support systems or optimization models to solve planning problems outside the scope of strategic planning; thus, most planning is done manually, e.g. in a geographic information system (GIS) environment. Apart from the hierarchical division of the planning process itself, we identified six main strategies that the companies use to control information uncertainty, namely locking the future by making a decision, utilizing a surplus of available harvests, updating information before a decision is made, replanning when the plan is found to be infeasible, planning by looking back and ignoring the uncertainty, either intentionally or unintentionally. The results from this study increase our understanding of contemporary forest-planning practices and will be helpful in the development of decision support systems and methods for information collection.
Urbanization and Cognitive Function Among Middle-Aged and Old Adults in China
Authors: Pan Yao , Wu Xiaofang , Liu Yan , Li Zhuo , Yang Yingkai , Luo Yanan 
Published: July 2022

Abstract

Objectives
Our study examined the effect of urbanization on cognitive function and its possible pathways among Chinese middle-aged and older adults independent of the influence of health-selective migration.

Methods
Using data from the China Health and Retirement Longitudinal Study, we compared cognitive function among three groups (urbanized-rural residents, rural nonmigrants, and urban nonmigrants). Logistic regression and structural equation models were applied to explore the impact of urbanization on cognitive function and the potential mechanisms.

Results
Compared with the urbanized-rural group, urban nonmigrants had better cognitive function, with a significant coefficient of 1.56 (95% CI: 1.22, 1.89) for global cognition scores and 0.37 (95% CI: 0.22, 0.53) for episodic memory scores. The rural nonmigrants had the worst cognitive function (β = −0.79, 95% CI: −1.04, −0.55) and lower scores of mental intactness (β = −0.65, 95% CI: −0.84, −0.57) and episodic memory (β = −0.14, 95% CI: −0.26, −0.03). The association between urbanization and cognitive function was mainly mediated by income and living conditions among middle-aged and older adults.

Discussion
Rural people who experienced planned urbanization in China had higher cognitive scores than rural non-migrants. Urbanization could thus have a beneficial and cumulative effect on cognitive function. Improvements in living conditions and changes in income are the main drivers behind the relationship. However, urbanization could compensate for the negative impact on cognitive function from disadvantaged early-life conditions, but it cannot completely eliminate the gap between urbanized-rural people and urban nonmigrants.
A Systematic Review of Subjective Cognitive Characteristics Predictive of Longitudinal Outcomes in Older Adults
Authors: Earl Robertson Frank , Jacova Claudia 
Published: July 2022

Abstract

Background and Objectives
Subjective cognitive decline (SCD) is a common experience of self-perceived decline without objective cognitive impairment among older adults. SCD has been conceptualized as very early Alzheimer’s disease (AD), but the specific SCD features predictive of clinical or cognitive decline remain unclear. This systematic review is the first to characterize specific SCD features and their relation to longitudinal outcomes.

Research Design and Methods
Multiple electronic databases were searched from inception until August 2021 for longitudinal studies of adults aged ≥50 (mean ≥60) and free of dementia, with baseline SCD measurement and clinical or cognitive follow-up. Studies were screened for inclusion criteria and assessed for risk of bias using weight-of-evidence ratings.

Results
Five hundred and seventy potentially relevant studies were identified, and 52 studies were evaluated for eligibility after initial screening. Thirty-three studies with medium to high weight-of-evidence ratings were included, and results were narratively synthesized. Measurement methods varied substantially across studies: the majority (n = 27) assessed SCD symptom types and intensity, and consistently reported that a higher symptom burden increased the risk for mild cognitive impairment (MCI) and dementia. The evidence was less compelling for cognitive outcomes. A handful of studies (n = 5) suggested a predictive role for SCD symptom consistency and informant corroboration.

Discussion and Implications
SCD symptom intensity emerged from our review as the most reliable predictor of future clinical outcomes. Combinations of SCD-Plus symptoms also had predictive utility. No single symptom was uniquely prognostic. Our findings support the quantitative evaluation of SCD symptoms in the assessment of risk for progression to MCI or dementia.
Tsunamis in Lingding Bay, China, caused by the 2022 Tonga volcanic eruption
Authors: Wang Yuchen , Wang Peitao , Kong Hoiio , Wong Chan-Seng 
Published: July 2022

SUMMARY
The Hunga Tonga-Hunga Ha'apai volcano eruption resulted in propagation of tsunamis globally. Atmospheric pressure disturbances and tsunamis were recorded in Lingding Bay, China, situated more than 9000 km from the volcano. We studied the features of tsunamis in Lingding Bay and its surrounding areas by using records from tide gauges and meteorological stations. Lamb waves were observed in the bay approximately 8, 44 and 80 hr after the volcanic eruption. The first and second tsunami waves arrived approximately 11 and 45–47 hr following the eruption, respectively, indicating consistency with the arrival time of Lamb waves. In addition, wavelet and Fourier analyses were applied to the sea level records to investigate the frequency characteristics. The ratio of the tsunami spectra to the background spectra for two tsunami waves was calculated as the source spectra. The source spectra of two tsunami waves were mostly of the same shape, with dominant periods of ∼17 and ∼46 min. Our results provide information for theoretical investigation of the Tonga tsunami event. More efforts should be devoted to relevant research on the generating mechanism and early warning of tsunamis from non-seismic origins.
D2/D3 Receptor Agonism: Paving the Way for a New Therapeutic Target for Taste Disorders in Parkinson’s Disease and Other Conditions?
Authors: Mantovani Elisa , Tamburin Stefano 
Published: July 2022

Abstract
Chemosensory (i.e., olfaction and taste) dysfunction is common in neurodegenerative (e.g., Parkinson’s disease, Alzheimer’s disease, and dementia), psychiatric (e.g., depression, bipolar disorders, other conditions), and postinfectious (i.e., long COVID) diseases and in the elderly. Despite its impact on patients’ quality of life, no established treatment for taste disorders exists so far. A recent report on the effect of pramipexole, a D2/D3 agonist, on taste performance in healthy participants provides support for a new potential therapeutic target for taste dysfunction to be tested in future randomized, placebo-controlled, clinical trials across several populations reporting gustatory symptoms.
Trends in strong opioid prescription for cancer patients in Japan from 2010 to 2019: an analysis with large medical claims data
Authors: Takahashi Richi , Miyashita Mitsunori , Murakami Yoshitaka , OBA Mari S 
Published: July 2022

Abstract

Background
Consumption of opioids, essential drugs for pain relief, has seen rapid growth worldwide. In Japan, where total opioid consumption still remains low among developed countries, little is known about trends in the clinical patterns of opioids in terminally ill cancer patients.

Methods
Patients who died of cancer from 2010 to 2019 were included in this study. Morphine, oxycodone, fentanyl, tapentadol, methadone and hydromorphone were examined as opioids for cancer pain. We calculated the prevalence of prescribed opioids prior to death by year and age group and the average opioid dose 30 days before death.

Results
The total number of patients was 221 598. We found that the prescription prevalence of opioids increased from 60.8 to 65.9% (5.1%). Morphine was most prescribed in 2010 but had decreased prevalence (−9.0%) during the 10-year period. Oxycodone had the highest increase in prescription prevalence (13.7%), and fentanyl prevalence decreased (−4.9%). In the subgroup comparison, the prescription prevalence of opioids in the elderly was lower than that in the younger group; however, the increasing trend in the elderly was greater than that in the younger group. The percentage of patients prescribed low-dose opioids (&lt;60 mg/day) during the 30 days before death increased by 4.9% and was the highest throughout the study period.

Conclusion
The prevalence of opioid prescriptions for terminally ill cancer patients has increased from 2010 to 2019 in Japan. The opioid-specific trends were similar to the global trend but differed by palliative care specialty.
Prevention of delirium with agitation by yokukansan in older adults after cancer surgery
Authors: Sadahiro Ryoichi , Wada Saho , Matsuoka Yutaka J , Uchitomi Yosuke , Yamaguchi Takuhiro , Sato Tetsufumi , Esaki Minoru , Yoshimoto Seiichi , Daiko Hiroyuki , Kanemitsu Yukihide , Kawai Akira , Kato Tomoyasu , Fujimoto Hiroyuki , Uezono Yasuhito , Shimizu Ken , Matsuoka Hiromichi 
Published: July 2022

Abstract

Objective
Preventing postoperative delirium with agitation is vital in the older population. We examined the preventive effect of yokukansan on postoperative delirium with agitation in older adult patients undergoing highly invasive cancer resection.

Methods
We performed a secondary per-protocol analysis of 149 patients’ data from a previous clinical trial. Patients underwent scheduled yokukansan or placebo intervention 4–8 days presurgery and delirium assessment postoperatively. Delirium with agitation in patients aged ≥75 years was assessed using the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and the Japanese version of the Delirium Rating Scale-Revised-98. We assessed odds ratios for yokukansan (TJ-54) compared with placebo for the manifestation of postoperative delirium with agitation across patients of all ages (n = 149) and those aged ≥65 years (n = 82) and ≥ 75 years (n = 21) using logistic regression.

Results
Delirium with agitation manifested in 3/14 and 5/7 patients in the TJ-54 and placebo groups, respectively, among those aged ≥75 years. The odds ratio for yokukansan vs. placebo was 0.11 (95% confidence interval: 0.01–0.87). An age and TJ-54 interaction effect was detected in patients with delirium with agitation. No intergroup differences were observed in patients aged ≥65 years or across all ages for delirium with agitation.

Conclusions
This is the first study investigating the preventive effect of yokukansan on postoperative delirium with agitation in older adults. Yokukansan may alleviate workforce burdens in older adults caused by postoperative delirium with agitation following highly invasive cancer resection.
Orchid fruiting success is unrelated to surrounding floral resources in South Australian plant communities
Authors: Martín-Forés Irene , Bywaters Samantha L , Sparrow Ben , Guerin Greg R 
Published: July 2022

AbstractTo maintain recruitment in orchid populations in an ecosystem setting, we must understand how surrounding floral resources affect fruiting success. We studied fruiting success in two endemic Australian species, Diuris pardina and Glossodia major, in relation to surrounding floral resources. Diuris pardina has a visually deceptive pollination strategy via mimicry of pea flowers, attracting pollinators associated with co-flowering plants of Pultenaea. Glossodia major displays dummy anthers and has a more generalist pollination strategy. We expected fruiting success of both species to positively correlate to conspecific and heterospecific floral density because orchid pollination should be enhanced by the attraction of higher densities of native bees. We expected fruiting success of D. pardina to positively correlate with abundance of Pultenaea flowers. Surveying 18 plots in South Australia, we counted species, individuals and flowers of conspecifics and heterospecifics and returned to count flowers that set fruit. We conducted Pearson correlations between fruiting success and density of conspecific flowers, richness, abundance and Shannon index of surrounding floral resources and floral abundance of individual species. Fruiting success was correlated with conspecific floral density for D. pardina but not G. major. No relationship was found between fruiting success and heterospecific floral resources. Fruiting success of D. pardina was not correlated with abundance of Pultenaea; instead it was positively correlated with the invasive species Lavandula stoechas.
Molecular tracers of planet formation in the atmospheres of hot Jupiters
Authors: Hobbs Richard , Shorttle Oliver , Madhusudhan Nikku 
Published: July 2022

ABSTRACT
The atmospheric chemical composition of a hot Jupiter can lead to insights into where in its natal protoplanetary disc it formed and its subsequent migration pathway. We use a 1D chemical kinetics code to compute a suite of models across a range of elemental abundances to investigate the resultant abundances of key molecules in hot Jupiter atmospheres. Our parameter sweep spans metallicities between 0.1x and 10x solar values for the C/H, O/H, and N/H ratios, and equilibrium temperatures of 1000 and 2000 K. We link this parameter sweep to the formation and migration models from previous works to predict connections between the atmospheric molecular abundances and formation pathways, for the molecules H2O, CO, CH4, CO2, HCN, and NH3. We investigate atmospheric H2O abundances in eight hot Jupiters reported in the literature. All eight planets fall within our predicted ranges for various formation models; however, six of them are degenerate between multiple models and hence require additional molecular detections for constraining their formation histories. The other two planets, HD 189733 b and HD 209458 b, have water abundances that fall within ranges expected from planets that formed beyond the CO2 snowline. Finally, we investigate the detections of H2O, CO, CH4, CO2, HCN, and NH3 in the atmosphere of HD 209458 b and find that, within the framework of our model, the abundances of these molecules best match with a planet that formed between the CO2 and CO snowlines and then underwent disc-free migration to reach its current location.
Implementation of dust particles in three-dimensional magnetohydrodynamics simulation: dust dynamics in a collapsing cloud core
Authors: Koga Shunta , Kawasaki Yoshihiro , Machida Masahiro N 
Published: July 2022

ABSTRACT
The aim of this study is to examine dust dynamics on a large scale and investigate the coupling of dust with gas fluid in the star formation process. We propose a method for calculating the dust trajectory in a gravitationally collapsing cloud, where the dust grains are treated as Lagrangian particles and are assumed to be neutral. We perform the dust trajectory calculations in combination with non-ideal magnetohydrodynamics simulation. Our simulation shows that dust particles with a size of $\le 10\, {\rm \mu m}$ are coupled with gas in a star-forming cloud core. We investigate the time evolution of the dust-to-gas mass ratio and the Stokes number, which is defined as the stopping time normalized by the freefall time-scale, and show that large dust grains ($\gtrsim 100\, {\rm \mu m}$) have a large Stokes number (close to unity) and tend to concentrate in the central region (i.e. protostar and rotationally supported disc) faster than do small grains ($\lesssim 10\, {\rm \mu m}$). Thus, large grains significantly increase the dust-to-gas mass ratio around and inside the disc. We also confirm that the dust trajectory calculations, which trace the physical quantities of each dust particle, reproduce previously reported results obtained using the Eulerian approach.