bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation Strategies to Promote Measurement-based Care in Schools: Evidence from Mental Health Experts Across the United States
Authors: Connors Elizabeth H , Lyon Aaron R , Garcia Kaylyn , Sichel Corianna , Hoover Sharon , Weist Mark D , Tebes Jacob 
Published: February 2022

Abstract
Background: Despite an established, comprehensive taxonomy of implementation strategies, minimal guidance exists for how to select and adapt strategies to specific services and contexts. We employed a replicable method to identify the most feasible and important implementation strategies to increase mental health providers’ use of measurement-based care (MBC) in schools. MBC is the routine use of patient-reported progress measures throughout treatment to inform patient-centered, data-driven treatment adjustments. Methods: A national sample of 52 school mental health providers and researchers completed two rounds of modified Delphi surveys to rate the relevance, importance, and feasibility of 33 implementation strategies identified for school settings. Strategies were reduced and definitions refined using a multimethod approach. Final importance and feasibility ratings were plotted on “go-zone” graphs and compared across providers and researchers to identify top-rated strategies. Results: The initial 33 strategies were rated as “relevant” or “relevant with changes” to MBC in schools. Importance and feasibility ratings were high overall for both survey rounds; on a scale of 1 to 5, importance ratings (3.61 - 4.48) were higher than feasibility ratings (2.55 – 4.06) on average. Survey 1 responses resulted in a reduced, refined set of 21 strategies, and six were rated most important and feasible on Survey 2: 1) assess for readiness and identify barriers and facilitators; 2) identify and prepare champions; 3) develop a usable implementation plan; 4) offer a provider-informed menu of free, brief measures; 5) develop and provide access to training materials; and 6) make implementation easier by removing burdensome documentation tasks. Provider and researcher ratings were not significantly different, with a few exceptions: providers reported higher feasibility and importance of removing burdensome paperwork than researchers, and providers reported higher feasibility of train-the trainer approaches than researchers; researchers reported higher importance of monitoring fidelity than providers. Conclusions: The education sector is the most common setting for child and adolescent mental health service delivery in the United States. Effective MBC implementation in schools has the potential to elevate the quality of care received by many children, adolescents, and their families. This empirically-derived, targeted list of six implementation strategies offers potential efficiencies for future testing of MBC implementation in schools.
EREG increases stemness associated genes expression and promotes Chemoresistance of non-small cell lung cancer via ERK signaling
Authors: Xu Wei , Zhang Yujia , Qiu Fengjun , Ye Tingjie , Lee Sau Har , Xu Jiatuo , Jia Lingyan , Zeng Rui , Wang Xiaoling , Hu Xudong , Yan Xiaofeng , Li Hua , Lu Yanlin , Jiang Rilei 
Published: February 2022

Abstract
Background: Chemotherapy is the preferred approach for treatment of advanced non-small cell lung cancer (NSCLC), but it often resulted in acquired resistance, which led to the failure of treatment. Therefore, it is necessary to identify and remove the resistant cancer cells in the tumors with acquired resistance. Thus far, there is no comprehensive analysis of RNA-Seq data from lung cancer patients and none of the available enriched signaling could act as a therapeutic target to re-sensitize the acquired resistant cancer cells to chemo-drugs. Hence, in this study, we aimed to identify the resistance signature for clinical lung cancer patients and explore the regulation mechanism.Method: Analysis of RNA-Seq data from clinical lung cancer patients was conducted in R studio to identify the resistance signature of resistant NSCLC. The resistance signature was validated by survival time of lung cancer patients and qPCR in cisplatin and taxol resistant cells. Cytokine application, Lentivirus-based small-interfering RNA and pharmacological inhibition approaches were applied to characterize the function and molecular mechanism of EREG and downstream signaling in chemoresistance regulation via stemness by western blot, qPCR, cell viability and spheres assays in NSCLC.Results: Thirty-two differentially expressed genes in the treated patients were identified as the resistant genes. The RTK and vitamin D signaling were enriched among resistance genes, where 6 genes were validated as resistance signature and proven to be associated with poor survival in patients. EREG was highly expressed in lung cancer patients and associated with survival time of lung cancer patients. EREG protein promoted the NSCLC resistant to chemo-drug by increasing stemness genes expression. Additionally, inhibition of EREG/ErbB had downregulated ERK signaling, resulted in decreased expression of stemness associated genes and subsequently re-sensitized the resistant NSCLC cells and spheres to chemo-drugs. Conclusions: These findings revealed 6 resistance genes signature and proved that EREG/ErbB regulated the stemness to maintain chemoresistance of NSCLC via ERK signaling. Therefore, targeting EREG/ErbB might significantly and effectively resolve the chemoresistance issue.
Stochastic nuclear organization and host-dependent allele contribution in Rhizophagus irregularis
Authors: Limpens Erik , Creij Jelle van , Auxier Ben , An Jianyong , Wijfjes Raúl Y. , Bergin Claudia , Rosling Anna , Bisseling Ton , Pan Zhiyong 
Published: February 2022

Abstract
Background Arbuscular mycorrhizal (AM) fungi are arguably the most important symbionts of plants, offering a range of benefits to their hosts. However, the provisioning of these benefits does not appear to be uniform among AM fungal individuals, with genetic variation between fungal symbionts having a substantial impact on plant performance. Interestingly, genetic variation has also been reported within fungal individuals, which contain millions of haploid nuclei sharing a common cytoplasm. In the model AM fungus, Rhizophagus irregularis, several isolates have been reported to be dikaryotes, containing two genetically distinct types of nuclei recognized based on their mating-type (MAT) locus identity. However, their extremely coenocytic nature and lack of a known single nucleus stage has raised questions on the origin, distribution and dynamics of this genetic variation. Results Here we performed DNA and RNA sequencing at the mycelial individual, single spore and single nucleus levels to gain insight into the dynamic genetic make-up of the R. irregularis C3 isolate. This isolate is thought to be clonally related to the recently sequenced dikaryon-like A4 isolate, which both were isolated ~ 20 years ago from the same field in Switzerland. Our analyses reveal that both isolates vary considerably in their nuclear behavior. Parallel spore and root culture batches showed widely variable ratios of two main nucleotypes in C3. Additionally, numerous polymorphisms were found that deviated significantly from the distribution of the two main nucleotypes in C3. No consistent host effects on nucleotype ratio after multiple rounds of subculturing were observed. Instead, we found a major effect of host plant-identity on allele-specific expression in C3. Conclusion Our analyses indicate a much more dynamic/variable genetic organization in R. irregularis than previously assumed. Seemingly random fluctuations in nucleotype ratio’s upon spore formation, recombination events, high variability of non-tandemly repeated rDNAs and host-dependent allele specific expression all add levels of variation that may contribute to the evolutionary success of these widespread symbionts.
Correlation and principal component analysis of clinical, bioelectrical and functional variables in newly diagnosed lung cancer adult patients. Pilot study
Authors: Regüeiferos Justa Carmen Columbié , Luna Taira Teresa Batista , Brooks Soraida Cándida Acosta , Rodriguez Maylet Planas , Matamoros Larisa Zamora , Rodríguez Beatríz Legrá , Fernández Arnolis Poll , Bello José Luis García , Pedrón Arquímedes Montoya , González Maraelys Morales , Garcia Julio Cesar Núñez , Fonseca Esmirna Cascaret , Cabrales Luis Enrique Bergues 
Published: February 2022

Abstract
Background: Bioelectrical impedance analysis has been used in cancer patients. The aim of this study is to propose an integrated analysis of clinical, bioelectrical and functional variables in newly diagnosed lung cancer adult patients for the integral evaluation and possible prognostic of them.Methods: This Pilot study was retrospective and cross-sectional and 23 patients aged 53-82 years participated in it. The electrical resistance and capacitive electrical reactance were measured with the Bodystat Quadscan® 4000 analyzer. The electrical impedance modulus and the phase angle were calculated. The serum concentrations of epidermal growth factor, CYFRA21-1 and CA 72-4 were quantified. Correlations/associations among variables and the principal component analysis were suggested.Results: The majority of patients had tumor markers, electrical resistance and the phase angle in their respective normal ranges. The capacitive electrical resistance was below its normal range. Minimum, low and moderate grades of linear correlation/association prevailed among studied variables. The principal components I and II were interpreted as prognosis and body energetic reserve of the patient, respectively.Conclusions: It is concluded that the clinical, bioelectrical and functional variables allow the integral analysis and possible prognosis of newly diagnosed lung cancer adult patients. The decrease of the capacitive electrical reactance is the most influence to the loss of the body energetic reserve that leads to alterations of the overall health, tiredness and decrease of weight and body mass index of these patients.
Metallic chemical potentials in an insulating topological state
Authors: Kotta Erica , Xu Yishuai , Lee Jaewoong , Liu Shouzheng , Miao Lin , Xu Yi , Jiang Denglin , Denlinger Jonathan , Yilmaz Turgut , Vescovo Elio , Cho Beongki , Wray L. Andrew 
Published: February 2022

Abstract
Controlling the density of electrons inside an insulator via the chemical potential is a cornerstone of modern electronics, enabling the electrical conductivity of semiconductors and the emergence of fascinating new properties linked with electronic correlations. The compound SmB6 has drawn widespread attention in recent years as the first insulator to feature both strong electronic correlations and topological quantum order1-7, potentially enabling a host of new phenomenologies as charge density is modified. However, chemical potential has not been experimentally controlled in studies to date of the electronic structure. Here we present an angle-resolved photoemission spectromicroscopy (μ-ARPES) study of SmB6 alloys, using the natural inhomogeneity of sample surfaces to create the analogue of a multi-dimensional doping series. The role of electronic correlations is observed in the interplay of the topologically ordered conducting states with one another and with the chemical potential. Higher doping is found to result in the transformation of these interdependencies as the disorder from impurities erodes quantum coherence. These findings set the stage for a holistic understanding of the interplay between strong correlations and topological features in the electron system. Moreover, they validate recent analyses suggesting that the electronic structure of SmB6 can present the key hallmarks of conventional electron doping, such as a Fermi surface, while nonetheless preserving long-range insulating character in electrical transport measurements8-10.
Instantaneous micropatterning of a double-network hydrogel surface triggered by mechanical force
Authors: Mu Qifeng , Cui Kunpeng , Wang Zhi jian , Matsuda Takahiro , Cui Wei , Kato Hinako , Namiki Shotaro , Yamazaki Tomoko , Frauenlob Martin , King Daniel , Nonoyama Takayuki , Tsuda Masumi , Tanaka Shinya , Nakajima Tasuku , Gong Jian Ping 
Published: February 2022

Abstract
Instantaneous patterning on soft material surfaces, such as hydrogels, is important in various research fields; however, it is extremely challenging. Existing strategies for soft material surface patterning are time-consuming and have poor chemical versatility. Herein, we show how micropatterns can be rapidly created on tough double-network (DN) hydrogel surfaces via sacrificial bonds and mechanical force-triggered radical polymerisation. Micropatterning is performed by local mechanical forces, which initiate radical polymerisation in a process zone in the presence of unsaturated monomers, resulting in on-demand functional patterns with a variety of geometries and chemistries. Such force-triggered activation occurs within seconds and is applicable to diverse monomers. To demonstrate potential applications, we engineered topographies and chemistries on DN hydrogel surfaces to control cell adhesion and water droplet directional transport.
Exploring effective network design for monitoring soil pH and potentially toxic elements based on geochemical surveys in economically developed area
Authors: Xu mingxing , Fu Yesi , Pan Weifeng , Zhou Guohua 
Published: February 2022

Abstract
Periodically visiting soil monitoring sites, i.e., sampling and analysis, is recognized as one of the most important ways to monitor soil quality. However, reconciling the monitoring costs with monitoring precision of the soil monitoring network (SMN) is a key technical problem to be solved. A statistically sound method, which depends on the spatial variation in monitoring indicators, was adopted to determine the number of monitoring sites and the monitoring interval as well as their ability to detect a particular change under an economically feasible scenario. The spatial variation in soil monitoring indicators was inquired from the “Multi-Purpose Regional Geochemical Survey in Zhejiang Province (MRGSZ)” project. Based on the data for soil pH and concentration of potentially toxic elements, the number of monitoring sites and the monitoring intervals that might be used for soil monitoring were determined with the administrative region as the monitoring unit. The results showed that there was great spatial variation in the MRGSZ region, which resulted in discrepancies in the minimum detectable changes (MDCs), monitoring site numbers, and temporal monitoring intervals for revisiting. Our research proposes a number of monitoring sites (nr) that could reconcile the monitoring costs, practicability, and monitoring precision; thus, it was recommended for the design of SMNs. Under nr, the MDC values of each monitoring indicator were acceptable for all administrative regions, and the temporal monitoring intervals were practical with variations of 6.7 to 14.8 years.
A statistical analysis of the relationship between the number of daily earthquakes (M≥5) in the world and the daily beryllium-7 concentrations in the surface air at each of 69 radionuclide monitoring stations in the world
Authors: Ichihashi Masaki 
Published: February 2022

Abstract
The relationship between the number of daily earthquakes (M\(\ge 5)\) in the world and the daily Be-7 concentrations in the surface air at each of 69 stations in the world from September 9, 2001, to December 31, 2017, was statistically analyzed. Aftershocks were not included in the analysis. The number of certified radionuclide stations increased from 5 in 2001 up to 69 in 2017. (1) The median of the numbers (\(n\)) of daily earthquakes (M\(\ge\)5) in the world during the period was 3. Therefore, the observation days of the Be-7 concentrations of each station were classified by \(n\ge 4\)or \(n\le 3.\)The number of stations where the median of the Be-7 concentrations of each station on days of \(n\ge 4\) was greater was 43, and the number of stations where the median of the Be-7 concentrations of each station on days of\(n\ge 4\) were smaller than or equal to that on days of \(n\le 3\)was 26. In more stations (significantly \((p=0.0147)\) by the binomial test), the median of the Be-7 concentrations of each station on days of \(n\ge 4\) was greater than that on the days of \(n\le 3\). In 14 years of total 17 years, in more stations, the median of the Be-7 concentrations of each station on days of \(n\ge 4\) were greater than that on the days of \(n\le 3\). (2) For r = 1 ~ 12 and 15, the observation days were classified into two types, \(n\ge r \text{a}\text{n}\text{d} \text{d}\text{a}\text{y}\text{s} \text{o}\text{f} n\le r-\)1. For 11 classifications of total 13 classifications, the median of the Be-7 concentrations of each station on days of \(n\ge r\) was greater than that on days of \(n\le r-1\) in more stations. For each of 7 classifications, it was significant \((p<0.05\)) by the binomial test. (3) For each station, the inclination of the regression line of the daily Be-7 concentrations with respect to the numbers of daily earthquakes(M\(\ge\)5) in the world was calculated. In more stations (almost significantly (p=0.074) by the binomial test), each inclination was positive. The Be-7 concentrations in the surface air in the world, as a whole, may increase on days when the daily number of earthquakes(M\(\ge\)5) in the world increase.
Towards Renewable Energy Development in EU Region: Analyzing Feasibility of 100% Renewable Energy System for 2050 - Case Study of Cyprus
Authors: ADUN HUMPHREY , ISHAKU Peter , Jazayeri MOEIN , DAGBASI MUSTAFA , OLUSOLA BAMISILE , OKOYE TOCHI 
Published: February 2022

Abstract
Cyprus continues to be one of the European Union's most energy import-dependent countries. It is of worthy note that Cyprus is also the only EU member state whose electricity grid is not connected to the European power network, as it uses an independent network that relies on local production. Furthermore, in a bid to meet the European Union target of 40% renewable energy electricity generation, Cyprus needs to fully utilize the vast renewable energy potential in the region. In this study, the integration of dominant renewable energy sources (solar, wind, and concentrated solar power) to the thermal power run grid system is simulated. Also, a 100% renewable energy electricity generation for 2050 is also modelled. The analysis is done, for a projected 8.3TWh/year of electricity demands, in the ENERGYPLAN simulation environment. The deterministic factors considered in this study are the power production and critical excess electricity production. Eight (8) case scenarios were developed in this study for comparative discourse of most feasible electricity generation to cut down on carbon dioxide emission in Cyprus. The optimized analysis reveals that the best case scenario for electricity generation for 2050 is PV system integrated with the oil powered plants. This system (PV/Oil) would generate 1.68TWh/year of renewable energy electricity. For 100% renewable energy electricity generation, the most feasible option is the PV/Wind/storage system. This system would have an installed 4000MW PV capacity, 7500MW wind capacity and 30GWh storage capacity.
UHRF1 Modulates Breast Cancer Cell Growth via Estrogen Signaling
Authors: Luo Guosheng , Li Quanhui , Yu Miao , Wang Tianshi , Zang Yifeng , Liu ZiPing , Niu Zhiguo , Yang Huijie , Lai Jianghua 
Published: February 2022

Abstract
The ubiquitination process, which involves that binding of an ubiquitin protein to certain substrates, regulates several human biological processes and human cancers. Several studies report that the abnormal expression of quite a few E3 ubiquitin ligases could play critical role in carcinogenic process and cancer progression. In our current study, we identify UHRF1 (Ubiquitin Like with PHD And Ring Finger Domain 1) is an important regulator for breast cancer growth. UHRF1 depletion significantly decreases breast cancer growth in vitro and in vivo. Clinical data analysis reveals that UHRF1 is dramatically elevated in breast cancer, compared to normal breast tissue. UHRF1 correlates with poor survival in Luminal type of breast cancer patients, but not in ER negative groups. The molecular biological studies show that UHRF1 localizes in the nuclear and interact with ERα via its SRA domain, which subsequently inhibits K48-linked ubiquitination of ERα and enhances ERα stability. Our study provides a novel function of UHRF1 in regulation estrogen signaling in breast cancer and a promising target for breast cancer therapeutics.
NPM1 is a prognostic biomarker and correlated with clinicopathological characteristics in gastric cancer
Authors: Liu Hong-Bin , Guo Chang-An , Su Xiao-Lu , Wang Wen-Jie , Xia Tian-Hong , Cao Xiao-Meng , Yuan Shao-Bin , Wang Wen-An , Zhang An 
Published: February 2022

Abstract
Background and aims: NPM1 plays an important role in the occurrence and development of leukemia, and its role in some solid tumors has gradually received attention. The purpose of this study is to explore the expression of NPM1 in gastric cancer (GC) tissues, to study the relationship between NPM1 expression and clinicopathological characteristics of GC patients, and to study the influence of NPM1 expression levels on the prognosis of GC patients. Methods: The study was conducted from tissue samples obtained after radical gastrectomy in 106 patients with GC. We used tissue microarray immunohistochemical analysis to examine the expression level of NPM1 in different GC and adjacent tissues, and finally analyzed the relationship between NPM1 expression, clinicopathological factors and survival rate. Results: Compared with the corresponding adjacent tissues, NPM1 is low-expressed in 75.5% of GC tissues. High NPM1 expression group was associated with better overall survival rate and disease free survival rate compared to low NPM1 expression group with GC (p<0.01). Conclusion：The assessment of NPM1 expression in GC samples may represent a useful tool for GC diagnosis and prognostic prediction. Nonetheless, our study should be regarded as a preliminary study, and its predictive value as a single-center retrospective study is limited.