Motivation to learn: an international multilevel study on student autonomy and teacher emphasis on content usefulness / Motivación para aprender: un estudio internacional multinivel sobre la autonomía de los estudiantes y el énfasis de los docentes en la utilidad del contenido

En la educación superior, pocos estudios relacionan factores contextuales en la clase, como el énfasis del profesor en la utilidad del contenido y las características motivacionales de los estudiantes. El objetivo fue probar un modelo multinivel sobre la relación entre el énfasis del docente en la utilidad del contenido durante la clase, la autonomía de los estudiantes y, a su vez, la motivación para aprender. Participaron 3033 estudiantes universitarios matriculados de 1º a 4º grado de Ciencias de la Actividad Física y del Deporte, de universidades de España (N = 602), Portugal (N = 469), México (N = 1177), Chile (N = 372), y Brasil (N = 413). Se realizó un modelo de ecuaciones estructurales multinivel, en el que los participantes respondieron preguntas sobre el énfasis del profesor en la utilidad del contenido de la clase, la autonomía y la motivación para aprender. Se hipotetizó que el énfasis del profesor en la utilidad del contenido predecía la autonomía del estudiante que, por su vez, predecía la motivación para aprender. Los resultados, a nivel grupal e individual, indican que el énfasis del docente en la utilidad del contenido predijo la autonomía del estudiante, y la autonomía predijo la motivación para aprender.(AU)

Teacher autonomy support is related to improved student learn-ing. In higher education, few studies relate classroom contextual factors, such as teacher emphasis on content usefulness, and students' motivational characteristics. The aim was to test a multilevel model about the relation between the extent of teachers’ emphasis on the usefulness of class con-tent with student autonomy, and, in turn, on motivation to learn. The par-ticipants were 3033 university students enrolled from 1st to 4th grade of Sciences of the Physical Activity and Sport, from universities in Spain (N = 602), Portugal (N = 469), Mexico (N = 1177), Chile (N = 372), and Brazil (N = 413). A multilevel structural equation model was performed, in which participants answered questions about the teacher's emphasis on the use-fulness of class content, basic psychological need for autonomy, and moti-vation to learn. At the group and individual levels, the hypothesis is that the teacher's emphasis on the usefulness of class content predict the stu-dent autonomy, in turn, student autonomy predicts student motivation to learn. Results found at the group level and at the individual level the strength of teacher emphasis on class content predicted student autonomy; student autonomy predicted student motivation to learn.(AU)

Predicting chronological age of 14 or 18 in adolescents: integrating dental assessments with machine learning.

AIM: Age estimation plays a critical role in personal identification, especially when determining compliance with the age of consent for adolescents. The age of consent refers to the minimum age at which an individual is legally considered capable of providing informed consent for sexual activities. The purpose of this study is to determine whether adolescents meet the age of 14 or 18 by using dental development combined with machine learning. METHODS: This study combines dental assessment and machine learning techniques to predict whether adolescents have reached the consent age of 14 or 18. Factors such as the staging of the third molar, the third molar index, and the visibility of the periodontal ligament of the second molar are evaluated. RESULTS: Differences in performance metrics indicate that the posterior probabilities achieved by machine learning exceed 93% for the age of 14 and slightly lower for the age of 18. CONCLUSION: This study provides valuable insights for forensic identification for adolescents in personal identification, emphasizing the potential to improve the accuracy of age determination within this population by combining traditional methods with machine learning. It underscores the importance of protecting and respecting the dignity of all individuals involved.

Screening of temperature-responsive signalling molecules during sex differentiation in Asian yellow pond turtle (Mauremys mutica).

BACKGROUND: The Asian yellow pond turtle (Mauremys mutica) is an important commercial freshwater aquaculture species in China. This species is a highly sexually dimorphic species, with males growing at a faster rate than females and exhibits temperature-dependent sex determination (TSD), in which the incubation temperature during embryonic development determines the sexual fate. However, the mechanisms of the sex determination or sex differentiation in the Asian yellow pond turtle are remain a mystery. RESULTS: Temperature-specific gonadal transcriptomics of the Asian yellow pond turtle were performed during the thermosensitive period (stage 15) using RNA-seq technology to identify candidate genes that initiate gonadal differentiation. We uncovered candidates that were the first to respond to temperature. These candidates were sexually dimorphic in expression, reflecting differences in gonadal (Cirbp, Runx1) and germline differentiation (Vasa, Nanos1, Piwil2), gametogenesis (Hmgb3, Zar1, Ovoinhibitor-like, Kif4), steroid hormone biosynthesis (Hsd17b5, Hsd17b6), heat shock (Dnajb6, Hsp90b1, Hsp90aa1) and transient receptor potential channel genes (Trpm1, Trpm4, Trpm6, Trpv1). CONCLUSIONS: Our work will provide important genetic information to elucidate the mechanisms of sex control in the Asian yellow pond turtles, and will contribute important genetic resources for further studies of temperature-dependent sex determination in turtles.

Genetic mechanism regulating diversity in the placement of eyes on the head of animals.

Despite the conservation of genetic machinery involved in eye development, there is a strong diversity in the placement of eyes on the head of animals. Morphogen gradients of signaling molecules are vital to patterning cues. During Drosophila eye development, Wingless (Wg), a ligand of Wnt/Wg signaling, is expressed anterolaterally to form a morphogen gradient to determine the eye- versus head-specific cell fate. The underlying mechanisms that regulate this process are yet to be fully understood. We characterized defective proventriculus (dve) (Drosophila ortholog of human SATB1), a K50 homeodomain transcription factor, as a dorsal eye gene, which regulates Wg signaling to determine eye versus head fate. Across Drosophila species, Dve is expressed in the dorsal head vertex region where it regulates wg transcription. Second, Dve suppresses eye fate by down-regulating retinal determination genes. Third, the dve-expressing dorsal head vertex region is important for Wg-mediated inhibition of retinal cell fate, as eliminating the Dve-expressing cells or preventing Wg transport from these dve-expressing cells leads to a dramatic expansion of the eye field. Together, these findings suggest that Dve regulates Wg expression in the dorsal head vertex, which is critical for determining eye versus head fate. Gain-of-function of SATB1 exhibits an eye fate suppression phenotype similar to Dve. Our data demonstrate a conserved role for Dve/SATB1 in the positioning of eyes on the head and the interocular distance by regulating Wg. This study provides evidence that dysregulation of the Wg morphogen gradient results in developmental defects such as hypertelorism in humans where disproportionate interocular distance and facial anomalies are reported.

Using societal conditional regard to cope with drug use in the ultraorthodox community and the unintended consequences.

Introduction: A developing theoretical framework for the investigation of tight cultures' reaction toward members who violate communal norms is societal conditional regard (SCR). Methods: Using a qualitative interpretive approach, in the current study we investigated the way the Ultraorthodox Jewish community uses SCR to cope with substance use disorders (SUDs), which considered to be a norms violation in closed religious communities. We did so by drawing on in-depth interviews with 14 young men from the Ultraorthodox community in Israel who were diagnosed as having an SUD and were in recovery. Results: (a) The community's socialization process, educating its members to lead a life that is the only right one; (b) The community's use of God as the one whose love and regard are conditional; (c) The SCR emotional and behavioral practices used by the community toward individuals who violate norms, and (d) How, paradoxically, the use of SCR may eventuate in the initiation of drug use, and within the community itself. Discussion: Findings are discussed in the context of self-determination theory and SCR, and shed light on how tight cultures cope with the threat of deviation of communal norms. Implications for intervention and policy are outlined.

Epistemic domination by data extraction: questioning the use of biometrics and mobile phone data analysis in asylum procedures.

In a growing number of destination countries state authorities have started to use various digital devices such as analysis of data captured from mobile phones to verify asylum seekers' claimed country of origin. This move has prompted some critics to claim that asylum decision-making is increasingly delegated to machines. Based on fieldwork at a reception centre in Germany, this paper mobilises insights from science and technology studies (STS) to develop a framework that allows for more nuanced analyses and modes of critiques of the digitisation of asylum procedures. Rather than thinking human and non-human forms of agency as external to one another in order to juxtapose them in a zero-sum game, I comprehend the introduction of digital technologies as a reconfiguration of existing human-machine configurations. This conception highlights how the use digital technologies enables caseworkers to retain their position as an epistemic authority in asylum decision-making by assembling clues about asylum seekers' country of origin generated by digital technologies into hard juridical evidence. Subsequently, I develop an alternative critique that focuses on epistemic implications of the digitisation of asylum procedures. I identify a particular version of data colonialism that enables epistemic domination by means of data extraction.

Mix-method toolbox for monitoring greenhouse gas production and microbiome responses to soil amendments.

In this study, we adopt an interdisciplinary approach, integrating agronomic field experiments with soil chemistry, molecular biology techniques, and statistics to investigate the impact of organic residue amendments, such as vinasse (a by-product of sugarcane ethanol production), on soil microbiome and greenhouse gas (GHG) production. The research investigates the effects of distinct disturbances, including organic residue application alone or combined with inorganic N fertilizer on the environment. The methods assess soil microbiome dynamics (composition and function), GHG emissions, and plant productivity. Detailed steps for field experimental setup, soil sampling, soil chemical analyses, determination of bacterial and fungal community diversity, quantification of genes related to nitrification and denitrification pathways, measurement and analysis of gas fluxes (N2O, CH4, and CO2), and determination of plant productivity are provided. The outcomes of the methods are detailed in our publications (Lourenço et al., 2018a; Lourenço et al., 2018b; Lourenço et al., 2019; Lourenço et al., 2020). Additionally, the statistical methods and scripts used for analyzing large datasets are outlined. The aim is to assist researchers by addressing common challenges in large-scale field experiments, offering practical recommendations to avoid common pitfalls, and proposing potential analyses, thereby encouraging collaboration among diverse research groups.•Interdisciplinary methods and scientific questions allow for exploring broader interconnected environmental problems.•The proposed method can serve as a model and protocol for evaluating the impact of soil amendments on soil microbiome, GHG emissions, and plant productivity, promoting more sustainable management practices.•Time-series data can offer detailed insights into specific ecosystems, particularly concerning soil microbiota (taxonomy and functions).

Automatic Determination of the Non-Covalent Stable Conformations of the NO2-Pyrene Cluster in Full Dimensionality (81D) Using the vdW-TSSCDS Approach.

We present the detailed topographical characterisation (stationary points and minimum energy paths connecting them) of the full dimensional (81D) intermolecular potential energy surface associated with the non-covalent interactions between the NO2 radical and the pyrene (C16H10) molecule. The whole procedure is (quasi) fully automated. We have used our recent algorithm vdW-TSSCDS as implemented on the freely-available AutoMekin software package. To this end, a series of inexpensive classical trajectories using forces from a low-level (semi-empirical) theory are used to sample the configuration space of the system in the search for candidates to first order saddle points. These guess structures are determined by means of a graph-theory based algorithm using the concept of adjacency matrix. Low-level optimizations are followed by re-optimizations at a final high-level of theory (DFT and CCSD(T)-F12 in our case.). The resulting set of stationary points and paths connecting them constitutes the so-called reaction network. In the case of NO2-pyrene, this network exhibits four major basins which can be characterized by their point-group symmetry. A central one, of global C2 symmetry, comprises the global minimum (as well as all other permutationally related conformers) together with the corresponding C2v saddle points connecting them. This central basin is connected to three others of lower C1 symmetry. The latter can be distinguished by the projection of the position of the NO2 nitrogen atom on the pyrene plane in combination with the relative orientation of the oxygen pair pointing either inwards, outwards, upwards or downwards.

Forensic Gender Prediction by Using Mandibular Morphometric Indices: A Panoramic Radiograph Study.

Aim and objective This study aims to assess the accuracy of gender estimation using gonial and antegonial angles and determine the gender of the given samples using gonial and antegonial angles. Introduction An essential component of the human skull, the mandible, exhibits sexual dimorphism, making it a valuable tool in forensic and anthropological investigations for detecting sex. This procedure can be especially difficult in situations where there are large numbers of casualties, natural disasters, or widely dispersed remains. The mandible is an accurate indicator of age and sex because it responds to patterns of growth. Sex determination through the gonial angle and antegonial angle involves analyzing the angles formed by the lower jaw bone in individuals. Examining these angles contributed to remarkable accuracy. Materials and methods A total of 500 samples, 250 male and 250 female panoramic radiographs, were carefully chosen for the study. The chosen samples ranged in age from 20 to 30 years. Orthophantomograms were measured in Planmeca software (Planmeca Romexis®, Version 6.0, USA INC.) and the descriptive statistics (paired t-test) were performed in SPSS Statistics version 16.0 (SPSS Inc. Released 2007. SPSS for Windows, Version 16.0. Chicago, SPSS Inc.). Results Gonial angle for males obtained the highest value of 127.27±5.29, followed by females at 127.08±5.18. This was followed by the antegonial angle for males of 10.74±3.14, and the least value was obtained by females of 10.67±3.30. The p-value for the gonial angle showed no statistical significance for males or females (p=0.679). Antegonial angle showed statistical significance in both males (p=0.008) and females (p=0.001). Conclusion Among both the parameters considered, the antegonial angle showed significance in determining the gender of the given samples. Hence, to assess the accuracy of gender estimation, the antegonial angle can be used as a parameter.

Colorimetric sensor array for versatile detection and discrimination of model analytes with environmental relevance.

In the current work, a rapid, simple, low-cost, and sensitive smartphone-based colorimetric sensor array coupled with pattern-recognition methods was proposed for the determination and differentiation of some organic and inorganic bases (i.e., OH-, CO32-, PO43-, NH3, ClO-, diethanolamine, triethanolamine) as model compounds. The sensing system has been designed based on color-sensitive dyes (Fuchsine, Giemsa, Thionine, and CoCl2) which were used as sensor elements. The color changes of a sensor array were observed by the naked eye. The color patterns were recorded using digital imaging in a three-dimensional (red, green, and blue) space and quantitatively analyzed with color calibration techniques. Distinctive colorimetric patterns for target bases via linear discriminant analysis (LDA) and hierarchical clustering analysis (HCA) were observed. The results indicated that the analytes related to each class (at the different concentration levels in the range of 0.001-1.0 mol L-1) were clustered together in the canonical discriminant plot and HCA dendrogram with high sensitivity and an overall precision of 85%. Furthermore, the first function factor of LDA correlated with the concentration of each target analyte in a correlation coefficient (R2) range of 0.864-0.996. These described procedures based on the colorimetric sensor array technique could be a promising candidate for practical applications in package technology and facile detection of pollutants.

Training the next generation of community-engaged physicians: a mixed-methods evaluation of a novel course for medical service learning in the COVID-19 era.

BACKGROUND: Medical school curricula strive to train community-engaged and culturally competent physicians, and many use service learning to instill these values in students. The current standards for medical service learning frameworks have opportunities for improvement, such as encouraging students to have more sustainable and reciprocal impact and to ingrain service learning as a value to carry throughout their careers rather than a one-time experience. PEDS 220: A COVID-19 Elective is a Stanford University course on the frontlines of this shift; it provides timely education on the COVID-19 pandemic, integrating community-oriented public health work to help mitigate its impact. METHODS: To analyze our medical service learning curriculum, we combined qualitative and quantitative methods to understand our students' experiences. Participants completed the Course Experience Questionnaire via Qualtrics, and were invited to complete an additional interview via Zoom. Interview transcripts were analyzed using an interactive, inductive, and team-based codebook development process, where recurring themes were identified across participant interviews. RESULTS: We demonstrate through self-determination theory that our novel curriculum gives students valuable leadership and project management experience, awards strong academic and community-based connections, and motivates them to pursue future community-engaged work. CONCLUSIONS: This educational framework, revolving around students, communities, and diversity, can be used beyond the COVID-19 pandemic at other educational institutions to teach students how to solve other emergent global health problems. Using proven strategies that empower future physicians to view interdisciplinary, community-engaged work as a core pillar of their responsibility to their patients and communities ensures long-term, sustainable positive impact. TRIAL REGISTRATION: N/A.

Evaluating Need Crafting: Scale Validation and Workplace Implications.

Basic psychological need crafting assumes that need-based experiences are enhanced through intentional behavior and thought changes. Despite its known benefits outside of the work context, need crafting instruments designed for this context, and the implications of need crafting for employee functioning, remain underexplored. Thus, this study set out to adapt and validate the need crafting scale (NCS) among employees (n = 229). Results supported the construct, discriminant validity, and criterion validity of the NCS. The research also revealed that, through need crafting, employees reported enhanced experiences related to their needs, which led to higher work effort and engagement and a reduced desire to leave their jobs. Additionally, the different types of need crafting had differential direct effects on employee functioning, supporting a more nuanced understanding of the construct. As the first of its kind, the study underpins the relevance and generalizability of the NCS and need crafting in the workplace.

Determination of Ploidy Levels and Nuclear DNA Content in Cryptococcus neoformans by Flow Cytometry: Drawbacks with Variability.

Flow cytometry is commonly employed for ploidy determination and cell cycle analysis in cryptococci. The cells are subjected to fixation and staining with DNA-binding fluorescent dyes, most commonly with propidium iodide (PI), before undergoing flow cytometric analysis. In ploidy determination, cell populations are classified according to variations in DNA content, as evidenced by the fluorescence intensity of stained cells. As reported in Saccharomyces cerevisiae, we found drawbacks with PI staining that confounded the accurate analysis of ploidy by flow cytometry when the size of the cryptococci changed significantly. However, the shift in the fluorescence intensity, unrelated to ploidy changes in cells with increased size, could be accurately interpreted by applying the ImageStream system. SYTOX Green or SYBR Green I, reported to enable DNA analysis with a higher accuracy than PI in S. cerevisiae, were nonspecific for nuclear DNA staining in cryptococci. Until dyes or methods capable of reducing the variability inherent in the drastic changes in cell size or shape become available, PI appears to remain the most reliable method for cell cycle or ploidy analysis in Cryptococcus.

[Structures, aims and needs of early career scientists at the German Center for Mental Health]. / Strukturen, Ziele und Bedürfnisse der Early Career Scientists am Deutschen Zentrum für Psychische Gesundheit.

BACKGROUND: Early career scientists (ECS) are agents of change and driving forces in the promotion of mental health. The German Center for Mental Health (DZPG) is a powerful initiative to guide and support careers in the field of mental health. OBJECTIVE: The DZPG aims to make investments to educate, engage, excite, and empower ECS in an interdisciplinary and interinstitutional scientific community. STRUCTURES, TOPICS AND INITIATIVES: To achieve this, the ECS Board at the DZPG plays a central role and consists of 18 elected ECS representatives. The ECS culture gives members the right of voice and embraces bottom-to-top ideas and acknowledges autonomy and co-determination. The DZPG academy was developed to facilitate communication and networking and encourage collaboration among ECS members. The DZPG also navigates several key issues, such as equality, diversity, inclusion, family friendliness and work-life balance, which are essential for a functioning research landscape. The DZPG also extends opportunities to ECS to develop skills and competencies that are essential for contemporary ECS. It complements nationwide support for ECS with funding opportunities, mental health support at work, careers advice and guidance activities. Importantly, the ECS Board is committed to patient and public involvement and engagement, scientific communication and knowledge transfer to multiple settings. CONCLUSION: The DZPG will contribute to fostering ECS training programs for student and academic exchanges, collaborative research, and pooling of resources to acquire grants and scholarships. It will also support the establishment of hubs for ECS networks and promote the expansion of international competence of ECS in Germany.

Bayesian design of clinical trials using the scale transformed power prior.

There are many Bayesian design methods allowing for the incorporation of historical data for sample size determination (SSD) in situations where the outcome in the historical data is the same as the outcome of a new study. However, there is a dearth of methods supporting the incorporation of data from a previously completed clinical trial that investigated the same or similar treatment as the new trial but had a primary outcome that is different. We propose a simulation-based Bayesian SSD framework using the partial-borrowing scale transformed power prior (straPP). The partial-borrowing straPP is developed by applying a novel scale transformation to a traditional power prior on the parameters from the historical data model to make the information better align with the new data model. The scale transformation is based on the assumption that the standardized parameters (i.e., parameters multiplied by the square roots of their respective Fisher information matrices) are equal. To illustrate the method, we present results from simulation studies that use real data from a previously completed clinical trial to design a new clinical trial with a primary time-to-event endpoint.

Healthcare processes for parent participation in neonatal intensive care units: A self-determination theory perspective.

This research explores parents' experiences in the NICU to inform design and implementation of processes that motivate and direct parent participation in healthcare processes for their children. Qualitative methods were employed combining elements of grounded theory and phenomenology. Findings reveal that despite known benefits, parent participation does not always occur in NICUs due to difficulties NICUs face while balancing technologically complex care that increases survival rates with parent-participation models that provides holistic wellbeing. Self-determination theory provides a work design perspective that can guide design and implementation of parent participation, as partial employees, as a key component of NICU healthcare processes.

An evaluation of treatment response and remission definitions in adult obsessive-compulsive disorder: A systematic review and individual-patient data meta-analysis.

INTRODUCTION: Expert consensus operationalized treatment response and remission in obsessive-compulsive disorder (OCD) as a Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) reduction ≥35% and score ≤12 with ≤2 on Clinical Global Impressions Improvement (CGI-I) and Severity (CGI-S) scales, respectively. However, there has been scant empirical evidence supporting these definitions. METHODS: We conducted a systematic review and an individual participant data meta-analysis of randomized-controlled trials (RCTs) in adults with OCD to determine optimal Y-BOCS thresholds for response and remission. We estimated pooled sensitivity/specificity for each percent reduction threshold (response) or posttreatment score (remission) to determine response and remission defined by a CGI-I and CGI-S ≤ 2, respectively. RESULTS: Individual participant data from 25 of 94 eligible RCTs (1235 participants) were included. The optimal threshold for response was ≥30% Y-BOCS reduction and for remission was ≤15 posttreatment Y-BOCS. However, differences in sensitivity and specificity between the optimal and nearby thresholds for response and remission were small with some uncertainty demonstrated by the confidence ellipses. CONCLUSION: While the empirically derived Y-BOCS thresholds in our meta-analysis differ from expert consensus, given the predominance of data from more recent trials of OCD, which involved more refractory participants and novel treatment modalities as opposed to first-line therapies, we recommend the continued use of the consensus definitions.

[Multi-index evaluation of different parts of Amomum villosum].

To investigate the quality differences between the seeds and husks of Amomum villosum and explore the rationality of using the seeds without husks, this study determined the content of protocatechuic acid, vanillic acid, epicatechin, quercitrin, volatile oil, water extract, and ethanol extract. The 2,2-diphenyl-1-picrylhydrazyl(DPPH), 2,2-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid)(ABTS), and hydroxyl radical scavenging activities were determined to evaluate the antioxidant activities of seeds and husks. The quality differences between the seeds and husks were assessed through orthogonal partial least squares-discriminant analysis(OPLS-DA) and analytic hierarchy process(AHP) combined with the entropy weight method(EWM). Significant differences(P<0.05) were observed in all 10 indicators between the seeds and husks. The levels of epicatechin, quercetin, and volatile oil were higher in the seeds, whereas those of protocatechuic acid, vanillic acid, water extract, and ethanol extract were higher in the husks. The seeds showed stronger scavenging ability against DPPH and ABTS radicals, while the husks showed a stronger scavenging effect on hydroxyl radicals. OPLS-DA significantly discriminated between the seeds and husks. Furthermore, volatile oil, water extract, DPPH radical scavenging rate, quercitrin, ABTS radical scavenging rate, hydroxyl radical scavenging rate, and vanillic acid were selected as the main differential indicators by variable importance in projection(VIP). Comprehensive scores calculated by AHP combined with EWM indicated that the seeds were superior to husks in terms of overall quality. However, there are still some dominant components and a certain antioxidant effect in the husks. Therefore, it is suggested to using Amomi Fructus with a certain amount of husks or utilizing the husks for other purposes.

[Quality control of Tianwang Buxin Pills based on UPLC fingerprint and multi-component quantification].

Tianwang Buxin Pills have demonstrated therapeutic effects in clinical practice, whereas there is a serious lack of comprehensive quality control to ensure the safety and effectiveness of clinical medication. In this study, ultra-performance liquid chromatography(UPLC) was employed to establish the fingerprint and the method for simultaneously determining the content of seven components of Tianwang Buxin Pills. Furthermore, chemometrics was employed to identify the key factors for the stable quality, which provided a reference for the comprehensive quality control and evaluation of this preparation. There were 25 common peaks in the UPLC fingerprints of 15 batches of Tianwang Buxin Pills, from which thirteen compounds were identified. A quantitation method was established for seven pharmacological components(α-linolenic acid, salvianolic acid B, glycyrrhetinic acid, schisandrin A, ß-asarone, 3,6'-disinapoylsucrose, and ligustilide). The principal component analysis(PCA) and partial least square discriminate analysis(PLS-DA) were performed to determine the key pharmacological components for controlling the quality stability of Tianwang Buxin Pills, which included 3,6'-disinapoylsucrose, α-linolenic acid, and ß-asarone. The established fingerprint and multi-component content determination method have strong specificity, stability, and reliability. In addition, 3,6'-disinapoylsucrose, α-linolenic acid, and ß-asarone are the key pharmacological components that ensure the quality stability between batches and can be used to comprehensively control the quality of Tianwang Buxin Pills. The findings provide a scientific basis for the quality evaluation and standard establishment of Tianwang Buxin Pills.

On the distribution of the power function for the scale parameter of exponential families.

The expected value of the standard power function of a test, computed with respect to a design prior distribution, is often used to evaluate the probability of success of an experiment. However, looking only at the expected value might be reductive. Instead, the whole probability distribution of the power function induced by the design prior can be exploited. In this article we consider one-sided testing for the scale parameter of exponential families and we derive general unifying expressions for cumulative distribution and density functions of the random power. Sample size determination criteria based on alternative summaries of these functions are discussed. The study sheds light on the relevance of the choice of the design prior in order to construct a successful experiment.