bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modulation of Dynamic Dimerization in Fluorogenic SNAP-tag Probes for Long-term Super-resolution Imaging
Authors: Qiao Qinglong , Liu Wenjuan , Chi Weijie , Chen Jie , Zhou Wei , Xu Ning , Li Jin , Fang Xiangning , Tao Yi , Zhang Yinchan , Chen Yingzhu , Miao Lu , Liu Xiaogang , Xu Zhaochao 
Published: May 2022

Abstract
The combination of super-resolution microscopy and synthetic fluorescence probes have emerged as a universal tool to monitor dynamic biological events at the nanometer scale. However, the limited site-specificity and fluorogenicity of synthetic fluorescent probes make it still difficult to realize long-term super-resolution imaging. Herein, we introduce a dynamic dimerization mediated SNAP-tag fluorogenic probe, BGAN-Aze, which can specifically bind to various SNAP-tag fusion proteins with 41-fold fluorescence enhancement. The equilibrium between the non-fluorescent dimer (D) and the fluorescent monomer (M) of BGAN-Aze acts as an effective method to reduce the fluorescence background and endow BGAN-Aze with the capability of conducting washing free super-resolution imaging of various intracellular and extracellular proteins. Using this probe, we monitored multiple dynamic biological events, such as MMC, mitophagy, the fusion of nucleolus, and the growth and contact of filopodia. We expect that BGAN-Aze will become a widely used SNAP-tag for super-resolution imaging of dynamic biological events and the D-M equilibrium can be a general strategy for designing fluorogenic probes.
Evaluating the harmonisation potential of diverse cohort datasets
Authors: Bauermeister Sarah , Phatak Mukta , Sparks Kelly , Sargent Lana , Grizwold Michael , McHugh Caitlin , Nalls Mike , Young Simon , Bauermeister Joshua , Molnar Vanda , Walls Ramona , Elliot Paul , Steptoe Andrew , Porteous David , Dufouil Carole , Gallacher John 
Published: May 2022

Abstract

Background
Data discovery, the ability to find datasets relevant to an analysis, accelerates science, increases scientific opportunity, and improves scientific rigour. Rapid growth in the depth, breadth, quantity and availability of data provides unprecedented opportunities and challenges for data discovery. A potential tool for increasing the efficiency of data discovery, particularly across multiple datasets is data harmonisation.
Methods
A core set of 124 variables, identified as being of broad interest to neurodegeneration, were harmonised using the C-Surv data model for the purpose of data discovery and conducting feasibility analyses. Widely used data conventions, optimised for inclusiveness rather than aetiological precision, were used as harmonisation rules. The harmonisation scheme was applied to data from four diverse population cohorts.
Results
Core variables covered 15 of 18 data themes used by the C-Surv data model. Correspondence between the harmonised data schema and cohort-specific data models was close for 61 variables that were directly mapped, 48 variables that were transformed to a binary (yes /no) format and for 6 variables than were standardised to the Z distribution. Harmonisation was more challenging for the remaining 9 socioeconomic and lifestyle variables; these requiring value judgements prioritising inclusivity over informativeness to be made.
Conclusions
Although harmonisation is not an exact science, sufficient comparability across datasets was achieved to enable data discovery with relatively little loss of informativeness. This provides a basis for further work extending harmonisation to increase the core variable list, applying the harmonisation to further datasets, and incentivising the development of data discovery tools.
Heterogeneous and retarded phase transformation of ferrihydrite on montmorillonite surface: The important role of surface interactions
Authors: Wei Hongyan , Liu Jing , Chen Qingze , Zhu Runliang , Yan Lixia , Yang Yixuan , Liang Xiaoliang , Zhu Jianxi , He Hongping 
Published: May 2022

Abstract
The formation of heteroaggregates is critical to controlling the stabilization and transformation of nanominerals and mineral nanoparticles (NMMNs) in nature, but the underlying mechanisms remain to be deciphered. In this work, we study the effect of surface interactions between ferrihydrite (Fh) and montmorillonite (Mnt) within their heteroaggregates on the transformation behaviors of Fh. A series of heteroaggregates composed of Fh and Mnt were synthesized by modulating their mass ratios and synthesis methods, i.e., directly complexing Fh with Mnt (Fh-Mnt) or in situ growing Fh on Mnt (Fh/Mnt). Structural characterization using XRD, TG-DSC, TEM, and FTIR indicated that Fh particles coated more evenly on the Mnt surface within the heteroaggregates synthesized by in situ growing Fh on Mnt and with lower Fh to Mnt ratio, and accordingly these heteroaggregates showed stronger surface interactions between Fh and Mnt. The phase transformation of Fh to hematite (Hem) on the heteroaggregates can be significantly affected during the heating treatment. Compared with that of pure Fh, the transformation of Fh on all of the heteroaggregates was retarded (e.g., slower transformation rate and smaller produced Hem particles), particularly for the samples with stronger surface interactions (e.g., Fh/Mnt with lower Fh to Mnt ratio). Noticeably, the heated heteroaggregates may simultaneously contain pristine Fh, intermediate maghemite, and transformed Hem, showing a heterogeneous transformation behavior of Fh. The strong interactions between Fh and Mnt will enhance the dispersion of Fh and restrict the structural rearrangement of Fh (particularly those at the interface) during the phase transformation process, resulting in retarded and heterogenous transformation of Fh on these heteroaggregates. These findings not only enrich our knowledge of the phase transformation characteristics of Fh but also advance our understanding of the important role of mineral surface interactions in stabilizing NMMNs in nature.
Evaluation of satellite precipitation products over Mexico using Google Earth Engine
Authors: Rincón-Avalos Pedro , Khouakhi Abdou , Mendoza-Cano Oliver , Cruz Jesús López-De la , Paredes-Bonilla Karla Michelle 
Published: May 2022

Abstract
Satellite-based precipitation products and reanalysis precipitation products have the potential to overcome the lack of information in regions where there are no or insufficient rain gauges to achieve any hydrological study. The Google Earth Engine (GEE) data analysis platform has products in its repository with global coverage that offers different geospatial information capable of measuring the amount of precipitation. However, it is necessary to evaluate the reliability of the products. There are precipitation information biases in Mexico due to the scarce presence of gauging stations, failed operations, access difficulty, and data capture errors. This study evaluates the reliability of satellite and reanalysis precipitation products hosted in the GEE repository against rain gauge observation from 2001 to 2017 using data from 4,658 stations over Mexico. The evaluation was carried out using statistical indicators comparing the behavior across different topographic, climatic, and temporal conditions. The results exhibit that the performance of the products hosted in GEE seems to depend on elevation conditions for other climatic regions in Mexico. The results show that all products can capture the general precipitation patterns at annual, seasonal, and monthly scales; however, the accuracy of the product is clearly lower at a daily scale. All products are highly biased on low precipitation events.
Assessing the Role of Socioeconomic Factors and Place of Residence on the Burden of Stillbirth in India: A Comprehensive Review
Authors: Sinha Shardhanjali , Mondal Prakash Ranjan , Gupta Vipin 
Published: May 2022

Background:
Due to India's highest contribution to the global burden of stillbirth, identifying and preventing modifiable risk factors of stillbirth is crucial. There is a serious need to assess the overall impact of socioeconomic inequalities on the stillbirth rate in different Indian settings.

Objectives:
The present study aims to assess the impact of different socioeconomic factors and the place of residence on the risk of stillbirth across different regions in India.

Methods:
For the literature search, PubMed, Web of Science, Scopus, and Google Scholar databases were used, which yielded 16821 research articles initially. According to the inclusion/exclusion criteria, a total of twenty potential studies were considered in the analysis.

Results:
Enlisted studies represented an association of education (n=16/20), income (n=4/20), occupation (n=8/20), the standard of living index/SES score (n=7/20), and place of residence (n=8/20) with the risk of stillbirth. The increase in wealth and educational status of women leads to a gradual decrease in the stillbirth rate. Stillbirth was more common in working women and in women whose spouse was a laborer or peasant. Rural residence and low socioeconomic score were identified as the strongest predictors of the risk of stillbirth.

Conclusion:
By evaluating the impact of socioeconomic factors, specific modifiable risk factors can be ascertained during the first trimester of pregnancy and the prevalence of stillbirth can be reduced. This evaluation may be used to identify the primary risk factors for stillbirth and to create policies to accomplish the objectives of the Indian Newborn Action Plan.
A Novel, Combined Student and Preceptor Professional Development Session for Optimizing Feedback: Protocol for a Multimethod, Multisite, and Multiyear Intervention
Authors: Button Brenton , Cook Clare , Goertzen James , Cameron Erin 
Published: May 2022

Background
Providing feedback to medical learners is a critical educational activity. Despite the recognition of its importance, most research has focused on training preceptors to give feedback, which neglects the role of learners in receiving feedback. Delivering a combined professional development session for both preceptors and students may facilitate more effective feedback communication and improve both the quality and quantity of feedback.

Objective
The objective of our research project is to examine the impact of a relational feedback intervention on both preceptors and students during a longitudinal integrated clerkship.

Methods
Students and preceptors will attend a 2.5-hour combined professional development session, wherein they will be provided with educational tools for giving and receiving feedback within a coaching relationship and practice feedback giving and receiving skills together. Before the combined professional development session, students will be asked to participate in a 1-hour preparation session that will provide an orientation on their role in receiving feedback and their participation in the combined professional development session. Students and preceptors will be asked to complete a precombined professional development session survey and an immediate postcombined professional development session survey. Preceptors will be asked to complete a follow-up assessment survey, and students will be asked to participate in a follow-up, student-only focus group. Anonymized clinical faculty teaching evaluations and longitudinal integrated clerkship program evaluations will also be used to assess the impact of the intervention.

Results
As of March 1, 2022, a total of 66 preceptors and 29 students have completed the baseline and follow-up measures. Data collection is expected to conclude in December 2023.

Conclusions
Our study is designed to contribute to the literature on the feedback process between preceptors and students within a clinical setting. Including both the preceptors and the students in the same session will improve on the work that has already been conducted in this area, as the students and preceptors can further develop their relationships and coconstruct feedback conversations. We will use social learning theory to interpret the results of our study, which will help us explain the results and potentially make the work generalizable to other fields.

International Registered Report Identifier (IRRID)
DERR1-10.2196/32829
PSYCHOPHARMACOLOGICAL SCREENING OF ETHANOLIC EXTRACT OF LANATA CANARA LINN SEEDS
Authors: BUTOOL SANA , RESHMA  , FAHEEMUDDIN MD , KHATOON ASIYA , FATIMA ISHRATH 
Published: May 2022

Objective: To study the skeletal muscle relaxant, antipsychotic and anti anxiety activity of ethanolic extract of Lantana camaralinnseeds in male wistar albino mice.
Methods: The extract of the seeds of Lantana camaralinn was prepared by usingSoxhlet extraction and the obtained extract is used for the evaluation of antianxiety activity, antipsychotic activity and muscle relaxant activity using male albino wistar mice.
Results: The results showed that the high dose (400 mg/kg) of the extract has shown significant anti anxiety, anti psychotic and skeletal muscle relaxant activities than the low dose (200 mg/kg).
Conclusion: we concluded that the plant Lantana camaralinn seeds has significant skeletal muscle relaxant, anti anxiety and anti psychotic activities as evidenced by the Rota rod, elevated plus maze, Y maze and acto photometer.
SPECTROPHOTOMETRIC QUANTIFICATION OF GLICLAZIDE IN PHARMACEUTICAL DOSAGE FORM
Authors: CHAFLE DILIP M. 
Published: May 2022

Objective: A simple and sensitive spectrophotometric method has been proposed for quantification of Gliclazide in pure and dosage form.
Methods: A visible spectrophotometric methods based on the ion-pair formation of drug with the dye Cresol Red (Method A) and Bromophenol Blue (Method B) in methanol medium.
Results: A purple colour complex was formed in Method A while orange colour was obtained by Method B with maximum absorption at 510 nm and 445 nm, respectively. The Beers law was found linear over the concentration range from 30 to 200µg/ml (Method A) and from 70 to 230µg/ml (Method B) with good correlation coefficients 0.9918 and 0.9916 respectively. The molar extinction coefficient were 0.1326 x 104 L/mol/cm (Method A) and 0.1294 x 104L/mol/cm (Method B), LOD 0.2563, 0.4681 and LOQ 0.6394µg/ml and 0.9256 µg/ml.
Conclusion: The proposed methods were statistically evaluated for accuracy, precision and linearity in terms of standard deviation, percentage recovery, percentage error and relative standard deviation. The proposed methods can be applied in routine analytical and quality control laboratories for the quantification of Gliclazide. The methods are simple, sensitive, rapid and economical for the estimation of Gliclazide in pure and dosage forms.
Capturing Data Provenance from Statistical Software
Authors: Alter George Charles , Gager Jack , Heus Pascal , Hunter Carson , Ionescu Sanda , Iverson Jeremy , Jagadish H.V. , Lyle Jared , Mueller Alexander , Nordgaard Sigve , Risnes Ornulf , Smith Dan , Song Jie 
Published: May 2022

We have created tools that automate one of the most burdensome aspects of documenting the provenance of research data: describing data transformations performed by statistical software. Researchers in many fields use statistical software (SPSS, Stata, SAS, R, Python) for data transformation and data management as well as analysis. The C2Metadata ("Continuous Capture of Metadata for Statistical Data") Project creates a metadata workflow paralleling the data management process by deriving provenance information from scripts used to manage and transform data. C2Metadata differs from most previous data provenance initiatives by documenting transformations at the variable level rather than describing a sequence of opaque programs. Command scripts for statistical software are translated into an independent Structured Data Transformation Language (SDTL), which serves as an intermediate language for describing data transformations. SDTL can be used to add variable-level provenance to data catalogues and codebooks and to create "variable lineages" for auditing software operations. Better data documentation makes research more transparent and expands the discovery and re-use of research data.
Artificial neural network model for prediction of viscoelastic behaviour of polycarbonate composites
Authors: Sonawane Shriram Shaligram 
Published: May 2022

Polymer composites are the result of incorporation of nanoparticles into the polymers and can lead to improvements even with a very small amount of reinforcement which can be tuned according to the applications. In order to understand the behaviour of these polymer composites we need to perform a number of characterizations and analyses which in turn requires investment of money and time. Thus, to reduce the number of characterizations and analyses for developing polymer composites, computational techniques can prove helpful. By means of a computational technique known as artificial neural network (ANN), prediction of the thermo-mechanical properties was made possible. Here dynamic mechanical analysis (DMA) data set was used for characterization of polycarbonate / calcium carbonate-SiO2 core shell composites (polycarbonate composites). Using the dataset, the selected ANN model consisted of a network of [3-10-1]. The prediction accuracy achieved using ANN method, was around 90%. Applicability and performance of ANN to the existing system was also confirmed by mean squared error (MSE), which is favourably small for this case, in the range of 10-5. The output predicted by ANN had a coefficient of correlation of 0.999. Furthermore, sensitivity analysis confirmed the importance of various input variables in relation with output. An optimization of the variables facilitated to maximize the conditions thus predicting glass transition temperature.
Malestar psicológico relacionado a características psicológicas asociadas al rendimiento deportivo en jóvenes deportistas
Authors: Lorenzón Juan Ignacio , González Insua Francisco , Aceiro María Agustina , Delfino Gisela 
Published: May 2022

Diferentes características psicológicas están asociadas al rendimiento deportivo, pero no es claro cómo estas interactúan con el malestar psicológico que pueden padecer los deportistas. Este estudio analizó la relación entre las Características Psicológicas relacionadas con el Rendimiento Deportivo (cuestionario CPRD) y la escala de malestar psicológico de Kessler (K-10). La muestra consistió en un total de 103 deportistas jóvenes de la Ciudad Autónoma de Buenos Aires (48.5 % hombres; edad M = 20.05; DE = 1.41). Un 22.3 % de los participantes padece de malestar psicológico. Los hombres presentaron puntajes más altos en cuanto al control del estrés e influencia de la evaluación en el rendimiento. Los sujetos que practicaban deporte grupal presentaron mayores puntajes en cuanto al control de estrés y en la cohesión de equipo. Se encontró una relación negativa entre el malestar psicológico y las dimensiones control de estrés e influencia de la evaluación en el rendimiento. Los resultados muestran cómo los perfiles psicológicos de los deportistas se relacionan con la experiencia de malestar y contribuyen a la idea de que el desarrollo de habilidades psicológicas en el deporte no solo se asocia a un mejor rendimiento, sino también a un mayor bienestar, aspecto clave en el momento de diseñar intervenciones.
Pengaruh Customer Incivility Terhadap Kondisi Psikologis Karyawan Dengan Supervisor Incivility Sebagai Mediator Pada Industri Perhotelan
Authors: Gunawan Adriani , Lestari Nurul Sukma , Hartati Leni 
Published: May 2022

Dalam industri perhotelan, karyawan frontliner hotel selalu berhubungan dengan pelanggan sebagai bagian dari pekerjaan mereka. Namun, pelanggan dan atasan tidak selalu mendukung karyawan frontliner hotel. Hal ini sering mengakibatkan emosi negatif, seperti marah, takut, dan cemas, yang kemudian memengaruhi kondisi psikologis karyawan frontliner hotel. Penelitian ini bertujuan untuk mengetahui apakah insivilitas pelanggan dan insivilitas supervisor yang bertindak sebagai moderator mengakibatkan gangguan pada kondisi psikologis karyawan frontliner hotel melalui emosi negatif (marah, takut, dan cemas). Data penelitian diambil menggunakan survei kuisioner dengan metode purposive sampling sehingga didapatkan 273 responden dari karyawan frontliner hotel di Indonesia, Malaysia dan Singapura. Metode analisis data yang digunakan adalah metode process bootstrap moderated mediation. Hasil analisis penelitian ini memperlihatkan bahwa insivilitas pelanggan dan insivilitas supervisor dapat mengakibatkan terganggunya kondisi psikologis karyawan frontliner hotel melalui emosi negatif (marah, takut, cemas). Hasil penelitian ini diharapkan dapat mempengaruhi kebijakan manajemen dan memberikan wawasan terkait pengaruh insivilitas pelanggan dengan efek moderasi insivilitas atasan pada kondisi psikologis karyawan frontliner hotel. Kata kunci: Moderator, Mediator, Psikologis, Pelanggan, Supervisor, Karyawan frontliner hotel
Influence Of External Examination On The Teaching And Learning Of Mathematics At The Secondary Education In Pakistan
Authors: Bhutto Ashraf 
Published: May 2022

This study explores the influence of external examination on teaching and learning of Mathematics at the secondary schools affiliated with provincial and private examination boards in Pakistan. By employing the explanatory sequential mixed-method approach, this study was conducted in two phases. In the first phase, the Mathematics examination papers of last five years from both provincial and private examination boards were reviewed and analyzed to understand (1) the cognitive complexities required from the learners to solve the questions, (2) the frequency and variety in which the questions were repeated and (3) the chapters of prescribed books from which the questions are selected in the examination of last five years. In the second phase, semi-structured interviews with teachers and students were conducted, along with participatory observation to understand how the examination patterns shape their teaching and learning. The findings revealed that the external examination directly influences teachers’ teaching, and indirectly students’ learning. Both the positive and negative effects of the external examination were found on the teaching and learning strategies of teachers and students, respectively.
Stressed about Money: The Effect of Employee Financial Pressure on Financial Reporting Outcomes
Authors: Mammadov Babak , Bhandari Avishek 
Published: May 2022

SUMMARY
This study investigates the effect of employee financial stress on financial reporting outcomes. Anxiety related to stress results in emotional exhaustion and reduced job performance. The conservation of resources theory predicts that anxiety caused by financial stress decreases employees’ work quality because anxiety drains individuals’ physical, cognitive, and psychological resources. Motivated by the conservation of resources theory, we expect and find that employee financial stress negatively affects financial reporting outcomes. Consistent with this prediction, we determine that employee financial stress is positively associated with material internal control weaknesses and restatements. The results are statistically and economically significant, and the results continue to hold after using alternative measures of employee financial stress and financial reporting quality. We conduct additional analyses to address endogeneity issues, and the inferences remain the same.
Data Availability: Data are available from the public sources cited in the text.
JEL Classifications: M40; M41; M49