bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors associated with medication interruption among outpatients’ severe mental illness patients exposed to coronavirus disease 2019
Authors: Jiao Jian , Ji Yuanyi , Ren Hua , Hao Yanni , Shen Xiaoling , Dong Zaiquan 
Published: September 2022

Abstract
Background.
In clinical, many patients with severe mental illness (SMI) have a relapse and deterioration in their illness during COVID-19, with an experienced medication interruption. This study aimed to investigate factors affecting medicine interruption in patients with SMI during the COVID-19 pandemic.
Methods.
Between 3 September and 7 October 2020, 2,077 patients with SMI participated in an online survey regarding their medication interruption during the COVID-19 outbreak. The questionnaire comprised six parts: basic demographic information, COVID-19 exposure, state of disease, medication compliance pre-COVID-19, medication interruption during COVID-19, and the specific impact and needs.
Results.
2,017 valid questionnaires were collected. Nearly 50% of patients with SMI have been affected to varying degrees in their lives and treatment. Among them, 74 patients stopped taking medicines for more than 14 days without a prescription. Binary logistic regression analysis showed that cohabitant exposure [OR = 26.629; 95% CI (3.293-215.323), p = 0.002], medication partial compliance and non-compliance pre-COVID-19 [OR = 11.109; 95% CI (6.093–20.251), p < 0.001; OR = 20.115; 95% CI (10.490-38.571), p < 0.001], and disease status [OR = 0.326; 95% CI (0.188–0.564), p < 0.001] were related to medication interruption. More than 50% of patients wanted help in taking medications, follow-up, and receiving more financial support and protective materials.
Conclusions.
Patients with a history of partial or non-medication compliance pre-COVID-19 and unstable disease state are more easily affect by epidemics and need extra attention should similar large-scale epidemics occur in future.
Evaluation of Two-stage designs of Phase 2 single-arm trials in glioblastoma: A systemic review
Authors: Yoo Wonsuk , Kim Seongho , Garcia Michael , Mehta Shwetal , Sanai Nader 
Published: September 2022

Abstract
Background: Due to economical and ethical reasons, the two-stage designs have been widely used for Phase 2 single-arm trials in oncology because the designs allow us to stop the trial early if the proposed treatment is likely to be ineffective. Nonetheless, none has examined the usage for published articles that had applied the two-stage designs in Phase 2 single-arm trials in brain tumor. A complete systemic review and discussions for overcoming design issues might be important to better understand why oncology trials have shown low success rates in early phase trials.
Methods: We systemically reviewed published single-arm two-stage Phase 2 trials for patients with glioblastoma and high-grade gliomas (including newly diagnosed or recurrent). We also sought to understand how these two-stage trials have been implemented and discuss potential design issues which we hope will be helpful for investigators who work with Phase 2 clinical trials in rare and high-risk cancer studies including Neuro-Oncology. The systematic review was performed based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA)-statement. Searches were conducted using the electronic database of PubMed, Google Scholar and ClinicalTrials.gov for potentially eligible publications from inception by two independent researchers up to May 26, 2022. The followings were key words for the literature search as index terms or free-text words: “phase II trials”, “glioblastoma”, and “two-stage design”. We extracted disease type and setting, population, therapeutic drug, primary endpoint, input parameters and sample size results from two-stage designs, and historical control reference.
Results: Among examined 29 trials, 12 trails (41%) appropriately provided key input parameters and sample size results from two-stage design implementation. Among appropriately implemented 12 trials, discouragingly only 3 trials (10%) explained the reference information of historical control rates.
Conclusions: Appropriate selection on primary endpoint, transparency of historical control and experimental rates, right implementation for two-stage design and sample size calculation, potential incorporation of adaptive designs, and utilization of Phase 0 paradigm might help overcoming the challenges on glioblastoma therapeutic trials in Phase 2 trials.
Disruption of the developmental programming of the gonad of the broad snouted caiman (Caiman latirostris) after in ovo exposure to atrazine.
Authors: Canesini Guillermina , Galoppo Germán Hugo , Tavalieri Yamil Ezequiel , Lazzarino Gisela Paola , Stoker Cora , Luque Enrique Hugo , Ramos Jorge Guillermo , Muñoz-de-Toro Mónica Milagros 
Published: September 2022

Abstract
Environmental exposure to agrochemicals during early stages of development can induce subtle alterations that could permanently affect normal physiology. Previously, we reported that in ovo exposure to atrazine (ATZ) disrupts testicular histoarchitecture in postnatal caimans (Caiman latirostris). To assess whether such alterations are the result of disruption of gonadal developmental programming, this study aimed to evaluate the expression of histofunctional biomarkers (VASA, ER, PR, PCNA, and aromatase) and genes involved in gonadal development and differentiation (amh, sox-9, sf-1 and cyp19-a1) in the gonads of male and female caiman embryos and to assess the effect of ATZ exposure on these biomarkers and genes in the gonads of male embryos. Our results suggest that amh, aromatase and sox-9 play a role in sex determination and gonadal differentiation. In male caiman embryos, ATZ exposure increased aromatase expression and altered the temporal expression pattern of amh and sox-9 evidencing an ATZ-induced disruption of gonadal developmental programming. Since the effects of ATZ are consistent across all vertebrate classes, the ATZ-mediated disruptive effects here observed could be present in other vertebrate species.
Potential Role of Artemisinin And Its Derivatives In The Treatment of Age-related Macular Degeneration
Authors: Liu Chun , Ma Jie , Mo Ya , Duan Junguo 
Published: September 2022

Abstract
Age-related macular degeneration (AMD) is an important cause of visual impairment and even blindness in the elderly. At present, the treatment of AMD mainly focuses on the treatment of Neovascular AMD (nvAMD), by repeatedly injecting anti-vascular endothelial growth factor (anti-VEGF) drugs into the vitreous. Although anti-VEGF drugs are landmark treatment options in the field of nvAMD treatment, multiple injections may cause some patients to respond poorly or even non-responsively and may develop progressive fibrosis. Artemisinin and its derivatives were initially used as antimalarial treatments. In recent years, the role of artemisinin and its derivatives in AMD has attracted great attention. Artemisinin treatment can not only effectively protect pigment epithelial cells in AMD from oxidative damage, reverse pigment epithelial cell mitochondrial dysfunction and anti-angiogenesis, but also effectively reduce pre-corneal injury caused by vitreous injection of anti-VEGF through microparticle drugs (carrying artemisinin). Many experiments have confirmed the therapeutic effect of artemisinin and its derivatives on AMD, but no article has systematically demonstrated the special role of artemisinin in the treatment of AMD. This article reviews the potential therapeutic effects and mechanisms of artemisinin and its derivatives in AMD to provide references for subsequent related studies.
Impact of microbial genome completeness on functional metagenomics
Authors: Eisenhofer Raphael , Odriozola Iñaki , Alberdi Antton 
Published: September 2022

Abstract
Inferring the functional capabilities of bacteria from metagenome-assembled genomes (MAGs) is becoming a central process in microbiology. Here we show that the completeness of genomes has a significant impact on the recovered functional signal, spanning all domains of metabolic functions. We identify factors that affect this relationship between genome completeness and function fullness, and provide baseline knowledge to guide efforts to correct for this new-found bias in functional metagenomic analyses.
Multi objectives Edge Server Placement in Mobile Edge computing Using Trees Social Relations Optimization Algorithm and DVFS technique
Authors: asghari ali , Azgomi Hossein , Zoraghchian Ali Abbas 
Published: September 2022

Abstract
The advent of fifth-generation(5G) telecommunication technology and the rapid growth of smart mobile equipment have led to many processing demands in this area. Many mobile applications developed with this technological growth. In most cases, the services required by mobile cloud users are offered online. The high volume of processes such as the Internet of Things, online games, electronic education, and e-commerce, which are processing-oriented, consumes a large amount of energy. The limited power of mobile equipment and their battery capacity causes some users' data and applications to be offloaded on network edge servers. Proper placement of mobile cloud resources has an important impact on their efficiency and energy consumption. The appropriate resource placement model can reduce latency and improve energy consumption. Because of the large number of mobile servers, finding the best geographical placement of all resources is an NP-Hard problem, so researchers have introduced some optimization methods for the problem solution. Parallelization methods can improve the scalability of the resource placement problem and reduce the time complexity of finding the optimal solution. In the proposed method, a novel multi-objective edge server placement algorithm, using the trees social relations optimization algorithm(TSR) and the DVFS(dynamic voltage and frequency scaling) technique (MSP-TD), has been introduced for optimal placement of edge servers to extend the network coverage. The simulation results show that our proposed model leads to less latency and energy consumption reduction than some state-of-the-art and similar algorithms.
Targeted dual base editing with Campylobacter jejuni Cas9 by a single AAV-mediated delivery
Authors: Kim Yongsub , Kweon Jiyein , Jang An-Hee , Kwon Eunji , Kim Ungi , Shin Ha Rim , See Jieun , Jang Gayoung , Lee Chaeyeon , Koo Taeyoung , Kim Seokjoong 
Published: September 2022

Abstract
Various CRISPR-Cas9 orthologues are used in genome engineering. One of the smallest Cas9 orthologues is cjCas9 derived from Campylobacter jejuni, which is a highly specific genome editing tool. Here, we developed cjCas9-based base editors including a cytosine base editor (cjCBEmax) and an adenine base editor (cjABE8e) that can successfully induce endogenous base substitutions by up to 91.2% at the HPDgene in HEK293T cells. Analysis of the base editing efficiency of 13 endogenous target sites showed that the active windows of cjCBEmax and cjABE8e are wider than those of spCas9-based base editors and that their specificities are slightly lower than that of cjCas9. Importantly, engineered cjCas9 and gRNA scaffold can improve the base editing efficiency of cjABE8e by up to 6.4-fold at the HIF1A gene in HEK293T cells. Due to its small size, cjABE8e can be packaged in a single adeno-associated virus vector with two tandem arrays of gRNAs, and the delivery of the resulting AAV could introduce base substitutions at endogenous ANGPT2 and HPD target sites. Overall, our findings have expanded the potential of the use of base editors for in vivo or ex vivo therapeutic approaches.
Is planting sorghum as summer catch crop a promising strategy to enhance subsequent eggplant yield and reduce nitrate accumulation in protected-field vegetable system？
Authors: Ma Yan , Kang Lingyun , Li Yanqing , Zhang Xinjun , Cardenas Laura M. , Chen Qing 
Published: September 2022

Abstract
Purpose
Summer catch crop (CC) has been introduced into the vegetable rotating system in protected fields to reduce nitrogen (N) losses through crop uptake and residual N immobilization. However, the effects of sorghum with biological nitrification inhibition (BNI) capacity as a CC on soil N dynamics and subsequent crop yield remain unclear.
Methods
In the two-year protected field experiment, the comprehensive effects of sorghum as CC on subsequent eggplant yield, soil mineral N dynamics, ammonia-oxidizing archaea (AOA) and bacteria (AOB) were determined, in comparison to the sweet corn and fallow treatments.
Results
Compared to the fallow treatment, sweet corn and sorghum as CC increased subsequent eggplant yield by 12.22% (not significantly) and 18.94%-24.88% (significantly), respectively. CC planting reduced soil nitrate (NO3--N) accumulation during the summer fallow season. Sorghum planting could significantly maintain higher level of ammonium (NH4+-N) concentration during the summer fallow season and the first month of succeeding over-winter season. In addition, sorghum planting reduced soil nitrifying potential, which could be partially attributed to the decreased amoA gene abundance of AOA at the 0–30 and 30–60 cm soil layers and AOB at 0–30 cm soil layer. However, similar results were not observed while planting sweet corn.
Conclusion
We conclude that planting sorghum with BNI capacity in the summer fallow season is a promising strategy to retain soil NH4+-N, reduce soil NO3--N accumulation, and enhance subsequent eggplant yield.
There are unique kinematics during locomotor transitions between level ground and stair ambulation that persist with increasing stair grade
Authors: Neuman Ross M. , Fey Nicholas P. 
Published: September 2022

Abstract
Human ambulation is typically characterized during steady-state isolated tasks (e.g., walking, running, stair ambulation). However, general human locomotion comprises continuous adaptation to the varied terrains encountered during activities of daily life. To fill an important gap in knowledge that may lead to improved therapeutic and device interventions for mobility-impaired individuals, it is vital to identify how the mechanics of individuals change as they transition between different ambulatory tasks, and as they encounter terrains of differing severity. In this work, we study lower-limb joint kinematics during the transitions between level walking and stair ascent and descent over a range of stair inclination angles. Using statistical parametric mapping, we identify where and when the kinematics of transitions are unique from the adjacent steady-state tasks. Results show unique transition kinematics primarily in the swing phase, which are sensitive to stair inclination. We also train Gaussian process regression models for each joint to predict joint angles given the gait phase, stair inclination, and ambulation context (transition type, ascent/descent), demonstrating a mathematical modeling approach that successfully incorporates terrain transitions and severity. The results of this work further our understanding of transitory human biomechanics and motivate the incorporation of transition-specific control models into mobility-assistive technology.
Exploring the intersectionality of race/ethnicity with rurality on breast cancer outcomes: SEER analysis, 2000 – 2016
Authors: Moore Justin Xavier , Andrzejak Sydney Elizabeth , Jones Samantha , Han Yunan 
Published: September 2022

AbstractPURPOSE Disparities in breast cancer survival have been observed within marginalized racial/ethnic groups and within the rural-urban continuum for decades. We examined whether there were differences among the intersectionality of race/ethnicity and rural residence on breast cancer outcomes. METHODS We performed a retrospective analysis among 739,448 breast cancer women using Surveillance Epidemiology and End Results (SEER) 18 registries years 2000 through 2016. We conducted multilevel logistic regression and Cox proportional hazards models to estimate adjusted odds ratios (AORs) and hazard ratios (AHRs), respectively, for breast cancer outcomes including surgical treatment, radiation therapy, chemotherapy, late-stage disease, and risk of breast cancer death. Rural was defined as 2013 Rural-Urban Continuum Codes (RUCC) of 4 or greater. RESULTS Compared with non-Hispanic white (NH-white) women, NH-black–urban (U), NH-black–rural (R), Hispanic–U, and Hispanic–R women, respectively, were at increased odds of no receipt of surgical treatment (NH-black–U, AOR = 1.98; NH-black–R, AOR = 1.72, Hispanic–U, AOR = 1.58; and Hispanic–R, AOR = 1.40; p values < 0.05), late-stage diagnosis (NH-black–U, AOR = 1.32; NH-black–R, AOR = 1.29; Hispanic–U, AOR = 1.25; and Hispanic–R, AOR = 1.17; p values < 0.05), and increased risks for breast cancer death (NH-black–U, AHR = 1.67; NH-black–R, AHR = 1.60; and Hispanic–U, AHR = 1.22; p values < 0.05). CONCLUSION Regardless of rurality, NH-black and Hispanic women had significantly increased odds of late-stage diagnosis, no receipt of treatment, and risk of breast cancer death.
Maintaining the long term stability of anaerobic digestion of maize straw in a continuous plug flow reactor by verifying the key role of trace elements
Authors: Ren Lijuan , Hou Zhen , Gao YanNing , Fu XianLi , Yu DunYao , Lin Min , Dong Renjie , Qiao Wei 
Published: September 2022

Abstract
A mesophilic anaerobic digestion bioreactor fed on maize straw was investigated in a plug flow reactor for 150 days. The process performance was evaluated through the stable, unstable, and recovery phases. Results showed that the system maintained stable performance within approximately two months but the following trace elements; Fe, Co, and Ni gradually declined and the volatile fatty acids accumulated to 8.07 g/L by the 120th day of operation. Pig manure containing higher trace elements, therefore, was mixed with maize straw at a ratio of 1:4 on a dry matter basis before feeding. The reactor recovery was observed with a significant downtrend of volatile fatty acids and an uptrend in biogas production. Upon recovery of the reactor and stable operation condition, a methane yield of 0.21 L/g-VSadded was obtained. Methane content stabilized at 54%. The quantitative utilization of the three elements on a unit mass of COD degraded was determined. Maintaining long-term stability was still a challenge without determining the minimum additional pig manure required. Conclusively, the co-digestion of trace elements-rich substrate or the addition of the trace elements into the substrate is required for the anaerobic digestion of straw.
BRD7 inhibits enhancer activity and expression of BIRC2 to suppress tumor growth and metastasis in nasopharyngeal carcinoma
Authors: Zhou Ming , Li Mengna , Wei Yanmei , Liu Yukun , Wei Jianxia , Zhou Xiangting , Duan Yumei , Chen Shipeng , Xue Changning , Zhan Yuting , Zheng Lemei , Deng Hongyu , Tang Faqing , Fan Songqing , Xiong Wei , Li Guiyuan , Tan Ming 
Published: September 2022

Abstract
BRD7 functions as a crucial tumor suppressor in numerous malignancies including nasopharyngeal carcinoma (NPC). However, its function and exact mechanisms involved in tumor progression are not well understood. Here, we found that the B7BS is a potential enhancer region of BIRC2, and BRD7 negatively regulates the transcriptional activity and expression of BIRC2 by targeting the activation of the BIRC2 enhancer. Moreover, BIRC2 promotes cell proliferation, migration, invasion as well as xenograft tumor growth and metastasis in vivo, thus functioning as an oncogene in NPC. Furthermore, the recovery of BIRC2 expression can rescue the inhibitory effect of BRD7 on cell proliferation, migration, invasion and xenograft tumor growth and metastasis. In addition, BIRC2 is high-expressed in NPC biopsy tissues, and is positively correlated with TNM stage and negatively correlated with the expression of BRD7. Therefore, these results suggest that BRD7 suppresses tumor growth and metastasis thus functioning as a tumor suppressor at least partially via negatively regulating the enhancer activity and expression of BIRC2, and targeting the BRD7/BIRC2 regulation axis is a potential strategy for the diagnosis and treatment of nasopharyngeal carcinoma.
Motor difficulties during the first year of school among children who attended outdoor or conventional kindergartens
Authors: Specht Ina Olmer , Larsen Sofus C , Rohde Jeanett Friis , Østergaard Jane Nautrup , Heitmann Berit Lilienthal 
Published: September 2022

Abstract
Purpose
Kindergartens can potentially contribute substantially to the daily level of physical activity and development of motor skills and might be an ideal setting for improving these as a public health initiative. We aimed to examine whether children from outdoor kindergartens had a lower risk of motor difficulties than children from conventional kindergartens.
Methods
Motor test results were measured by school health nurses during the first school year. Register-based information was available on potential confounding factors.
Results
We included 901 children from outdoor kindergartens and 993 from conventional kindergartens. In the adjusted models we found no evidence of a differences in the risk of motor difficulties between children attending either type of kindergarten.
Conclusion
Although nature environments have been shown to promote motor skills as compared to indoor environments, we found no differences in the risk of motor difficulties among children from outdoor and conventional kindergartens.
A Proof of Concept for a Deep Learning System that Can Aid Embryologists in Predicting Blastocyst Survival After Thaw
Authors: Marsh Philip , Radif Dahlia , Rajpurkar Pranav , Wang Zihan , Hariton Eduardo , Ribeiro Salustiano , Simbulan Rhodel , Kaing Amy , Lin Wingka , Rajah Anthony , Rabara Fleurdeliza , Lungren Matthew , Demirci Utkan , Ng Andrew , Rosen Mitchell 
Published: September 2022

Abstract
The ability to understand whether embryos survive the thaw process is crucial to transferring competent embryos that can lead to pregnancy. The objective of this study was to develop a deep learning model capable of assisting embryologist assessment of survival of thawed blastocysts prior to embryo transfer. A deep learning model was developed using 652 labeled time-lapse videos of freeze-thaw blastocysts. The model was evaluated against and along embryologists on a test set of 99 freeze-thaw blastocysts, using images obtained at 0.5h increments from 0–3 hours post-thaw. The model achieved AUCs of 0.869 (95% CI: 0.789,0.934) and 0.807 (95% CI: 0.717,0.886) and the embryologists achieved average AUCs of 0.829 (95% CI: 0.747,0.896) and 0.850 (95% CI: 0.773,0.908) at 2h and 3h, respectively. Combining embryologist predictions with model predictions resulted in a significant increase in AUC of 0.051 (95% CI: 0.021,0.083) at 2h, and an equivalent increase in AUC of 0.010 (95% CI: -0.018,0.037) at 3h. This study suggests that a deep learning model can predict in vitro blastocyst survival after thaw. After correlation with clinical outcomes of transferred embryos, this model may help embryologists ascertain which embryos may have failed to survive the thaw process and increase the likelihood of pregnancy by preventing the transfer of non-viable embryos.