Miracle-dz/UniFAR-FTUs huggingface dataset:
Ten-Year Stability of Clinical Attachment after Regenerative Treatment of Infrabony Defects and Controls

Background: A similar long-term stable clinical attachment level (CAL) of infrabony defects (IBDs) after regenerative treatment compared to control teeth would indicate a high level of stability resulting from the regenerative approach. Methods: Patients with a regeneratively treated IBD were screened 120 ± 12 months postoperatively for eligibility for study participation, and were included if complete baseline and 12-month examinations (plaque (PlI), periodontal probing depth (PPD), CAL) were available and a respective control tooth could be identified. Re-examination included clinical examination (PPD, CAL, PlI/GI, bleeding on probing, plaque control record, gingival bleeding index). Results: A total of 27 patients (16 females; age (median; lower/upper quartile): 57.0; 44.0/60.0 years; 6 smokers) contributed 27 IBDs (test), for each of which a control tooth was identified. Five test teeth (18.5%) were lost between 12 and 120 months. The remaining 22 test teeth revealed a significant CAL gain after 1 (2.5 mm; 1.0/4.0 mm, p < 0.0001) and 10 (2.5 mm; 0.5/3.5 mm, p < 0.0001) years, whereas control teeth were stable (1 year: 0.0 mm; 0.0/1.0 mm, p = 0.396; 10 years: 0.0 mm; −1.0/1.5 mm, p = 0.215). The study did not detect any significant CAL change between 1 and 10 years for test (−0.5 mm; −1.0/0.5 mm, p = 0.414) and control teeth (0.0 mm; −1.0/1.0 mm, p = 0.739). In 15 patients, test and control teeth revealed stable CAL values between 12 and 120 months. Conclusion: Regenerative treatment of IBDs exhibited stability comparable to non-surgically treated, periodontally reduced sites over a 10-year period.
Perceived organizational support and
 well‐being
 of tour guides: The mediating effects of quality of work life

The reciprocity norm theory suggests that individuals develop a sense of obligation and indebtedness to reciprocate the favorable treatment they receive. Rooted in the notion of reciprocity norm, organizational support is regarded as essential for organizations to maintain long-term relationships with their employees. Despite an established academic discussion on organizational support and its outcomes in behavioral and applied psychology research, a comprehensive understanding of its role in enhancing employees' well-being is surprisingly limited in the field of tourism. Drawing on the organizational support theory and theoretical conceptualizations on well-being, the present study proposes a conceptual model linking perceived organizational support (POS) with quality of work life, life satisfaction, and burnout. Using data from 301 tour guides, the results show that POS enhances tour guides' quality of work life and reduces their levels of burnout. The findings also show that while POS does not have a direct effect on life satisfaction, this effect emerges mediated by the quality of work life. As predicted, quality of work life was found as a key antecedent of life satisfaction. The current study highlights the role of POS in enhancing the well-being of tour guides and shows how well-being at the workplace is associated with well-being in life.
Perceptions and pedagogical considerations in professional development training for integration of an early literacy program in Kenya

ABSTRACT The present study examines experiences of mentor teachers and their teacher colleagues following three days of professional development training for early literacy instruction and a literacy software program (ABRA). Four Kenyan teacher-mentors were interviewed and 34 teachers were surveyed. Training included program specific and curriculum integration content. Thematic analysis of interviews yielded six themes, which identified perceived barriers and facilitators to adoption and integration of ABRA in the Kenyan elementary school context. Consistent with integration models, barriers involved infrastructure and access to technology, and challenges integrating the pedagogy of the software within the constraints of the existing curriculum. These challenges placed extra burdens on the ‘ambassador’ role, a key strategic initiative, which may require alternative support for program continuance, adoption, and fostering teachers’ professional development. Ambassadors and teachers agreed on the majority of challenges identified. Recommendations were noted to address cultural norms to enhance accessibility of the software.
EVALUATION OF GAMMA-GLUTAMYL TRANSFERASE CHANGING IN URINE RELATED TO THE TRAINING LOAD IN THE RHYTHMIC GYMNASTS COMPETITORS AGED 7-10

Post- exercise proteinuria and increased urinary gamma-glutamly transferase (GGT) levels can be predictive of exercise induced renal damage. In the literature, there exists numerous studies on exercise induced proteinuria, but studies investigating the effects of exercise on urinary GGT levels are quite few. The purpose of this study was to determined that the changes in urinary GGT activity, urinary creatinine and protein levels, in order to asses any potential exercise induced tubular damage of rhythmic gymnasts competitors aged 7-10. The study was performed on 11 rhythmic gymnasts who were in elementary category as competitors of the same sport club in Istanbul - Turkey. The training load was 3 hours 30 min for the same loading and same duration for all gymnasts. Urine samples which were collected before, after and 24 hours after the training were analyzed for urinary GGT, creatinine and protein levels. Significant difference was observed between before and after training urinary GGT levels (U/L and U/g creatinine) of rhythmic gymnasts (p 0.05). As a result, the level of GGT urine increased depending on the exercises and decrease during resting but the training programme did not give any damage in kidneys. (Biol.Sport 25:233-244, 2008)
Sedimentology and geomorphology of Lake Yamma Yamma - A long-lived structurally controlled playa lake of the Lake Eyre Basin, Australia

ABSTRACT Intraplate tectonism and continental climate change have important roles in the evolution of the arid Lake Eyre Basin, one of the world’s largest interior basins, and a place with economic, environmental, and cultural significance for many Australians. Just off one of the main rivers of the Basin, Cooper Creek, Lake Yamma Yamma – a 20 km by 40 km ephemeral feature – traps sediment ~750 km upstream and ~90 m higher than the ultimate base level of the Basin – Kati Thanda-Lake Eyre. This paper is the first to report on the sedimentology and geomorphic evolution of this modern ephemeral playa lake. Field-based sedimentology, laboratory-based grain size analysis, satellite image interpretation, inundation frequency maps, hydrological data, and digital elevation data, were used to interpret sedimentary processes and the evolution of the lake. Results suggest Lake Yamma Yamma is a long-lived feature. Evolution is primarily structurally controlled, with the main lake delta migrating north-west over time. Quaternary fluvial, lacustrine and aeolian deposition is likely controlled by intraplate tectonism, and palaeo-shorelines may be remnant features of a prior climate regime. Age dating of this sedimentary archive could provide important information on the history, palaeoclimate, and evolution of the Lake Eyre Basin, and the Australian continent.
Rapid Quantitative Analysis of IR Absorption Spectra for Trace Gas Detection by Artificial Neural Networks Trained with Synthetic Data

Infrared absorption spectroscopy is a widely used tool to quantify and monitor compositions of gases. The concentration information is often retrieved by fitting absorption profiles to the acquired spectra, utilizing spectroscopic databases. In complex gas matrices an expanded parameter space leads to long computation times of the fitting routines due to the increased number of spectral features that need to be computed for each iteration during the fit. This hinders the capability of real-time analysis of the gas matrix. Here, an artificial neural network (ANN) is employed for rapid prediction of gas concentrations in complex infrared absorption spectra composed of mixtures of CO and N2O. Experimental data is acquired with a mid-infrared dual frequency comb spectrometer. To circumvent the experimental collection of huge amounts of training data, the network is trained on synthetically generated spectra. The spectra are based on simulated absorption profiles making use of the HITRAN database. In addition, the spectrometer’s influence on the measured spectra is characterized and included in the synthetic training data generation. The ANN was tested on measured spectra and compared to a non-linear least squares fitting algorithm. An average evaluation time of 303 µs for a single measured spectrum was achieved. Coefficients of determination were 0.99997 for the predictions of N2O concentrations and 0.99987 for the predictions of CO concentrations, with uncertainties on the predicted concentrations between 0.04 and 0.18 ppm for 0 to 100 ppm N2O and between 0.05 and 0.18 ppm for 0 to 60 ppm CO.
Systematic Phenotyping and Characterization of the 3xTg-AD Mouse Model of Alzheimer’s Disease

Mouse models of human diseases are invaluable tools for studying pathogenic mechanisms and testing interventions and therapeutics. For disorders such as Alzheimer’s disease in which numerous models are being generated, a challenging first step is to identify the most appropriate model and age to effectively evaluate new therapeutic approaches. Here we conducted a detailed phenotypic characterization of the 5xFAD model on a congenic C57BL/6 J strain background, across its lifespan – including a seldomly analyzed 18-month old time point to provide temporally correlated phenotyping of this model and a template for characterization of new models of LOAD as they are generated. This comprehensive analysis included quantification of plaque burden, Aβ biochemical levels, and neuropathology, neurophysiological measurements and behavioral and cognitive assessments, and evaluation of microglia, astrocytes, and neurons. Analysis of transcriptional changes was conducted using bulk-tissue generated RNA-seq data from microdissected cortices and hippocampi as a function of aging, which can be explored at the MODEL-AD Explorer and AD Knowledge Portal. This deep-phenotyping pipeline identified novel aspects of age-related pathology in the 5xFAD model. Measurement(s) Protein Expression • gene expression • electrophysiology data • protein measurement • behavior Technology Type(s) immunofluorescence microscopy assay • RNA sequencing • electrophysiology assay • Electrochemiluminescence Immunoassay • animal activity monitoring system Factor Type(s) genotype • age • sex Sample Characteristic - Organism Mus musculus Measurement(s) Protein Expression • gene expression • electrophysiology data • protein measurement • behavior Technology Type(s) immunofluorescence microscopy assay • RNA sequencing • electrophysiology assay • Electrochemiluminescence Immunoassay • animal activity monitoring system Factor Type(s) genotype • age • sex Sample Characteristic - Organism Mus musculus Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare. 15176109
An observational study to evaluate knowledge, attitude, and practice of pharmacovigilance among undergraduate medical students of a tertiary care teaching hospital

Background: Present status of pharmacovigilance is not satisfactory in India due to underreporting of adverse drug reactions which may be due to shortcomings of knowledge, attitude, and practice (KAP) toward pharmacovigilance among health professionals. Best time to inculcate this is during their undergraduate studies. Aim and Objectives: The study amis to evaluate KAP of undergraduate medical students and compare the results. Materials and Methods: pharmacovigilance KAP-based preformed questionnaire containing 23 questions was answered by second, pre-final and final year MBBS students of our tertiary care teaching hospital. Data obtained was analyzed statistically. Analysis was done by calculating mean score in each year and compared between respective MBBS years. Level of significance was assessed by Kruskal Wallis test. Results: Total 219 students participated in the study among which 93 were from second year (3rd term), 74 were from pre-final year and 52 were from final year MBBS. Mean score of second year, pre-final year, and final year for knowledge was (4.12, 5.34, 6.06), for attitude was (6.90, 6.99, 6.35) and for practice was (1.16, 1.55, 2.62). Statistically significant difference is seen between knowledge and practice, while attitude difference is not significant. Conclusion: Students have relatively better attitude but limited knowledge and less practice for pharmacovigilance.
Social Capital and Loan Cost: The Role of Interpersonal Trust

We argue that social dilemmas structured as investment trust games are a dominant feature in social and economic life due to asymmetric information, incomplete contracts and non-overlapping competencies that are typical characteristics of business relationships. We therefore consider that borrowers living in geographical areas with higher interpersonal trust are more likely to overcome the coordination failures typical of this kind of social dilemmas, thereby creating higher economic value and reducing the risk of their economic activity. Our empirical findings support this hypothesis, showing that lenders charge significantly lower loan costs on borrowers living in areas characterized by higher interpersonal trust.
A Testing Tool for Converter-Dominated Power System: Stochastic Electromagnetic Transient Simulation

To investigate the impact of uncertain variability and provide a rigorous testing environment for converter-dominated power systems, this article develops a testing tool called stochastic electromagnetic transient simulation. The tool is derived from the stochastic differential equation (SDE) representing the stochastic process of parameter migration. By inheriting the principle of companion circuit, the dynamic companion circuits of the lumped elements with parameter migration are further established. Combined with the analysis of the numerical stability in discrete simulation as well as the stability of the continuous system with parameter migration, a numerical algorithm that is compatible with the electromagnetic transients program (EMTP) framework is designed, as well as a C program package. The verification results on a grid-connected three-phase two-level rectifier and a two-terminal dc distribution system demonstrate that the developed tool can simulate the parameter migrations and the stimulated system dynamic process simultaneously, which can also be used to efficiently reflect the real performance of various control subsystems and their coordination in extreme cases.
The Behavioral Patterns of the Student in the Position of Peer-Jury in Landscape Design Studio

The aim of this paper is to address the behavioral patterns of the students in peer-jury exercise and the learning outcomes in the landscape design studio. Despite the design studios run based on the relation of the master of the studio with the students, changing this relationship to the peer-learners experiments through this research. A Likert questionnaire was applied to ask the opinion of the students at the end of the semester, the data analyzed through a factor analysis test in SPSS. The findings of the analysis identified that the students addressed effective aspects of the exercise in five clusters including communication, interaction, presentation, innovation, and interpretation. The students learn through peer-jury to communicate with classmates through comments, critics, and recommendations, which is improved presentations. The comments of the peer-jury as an idea of design result in innovation in the design conceptualization. In conclusion, the students design their own style of communication in the position of peer-jury through an interpretation of the design projects. The results of the exercise shift the learning process from the instructor toward the peer-students and the peer-learners.
Identification and Characterization of Immunogene-Related Alternative Splicing Patterns and Tumor Microenvironment Infiltration Patterns in Breast Cancer

Simple Summary Aberrant immunogene-related alternative splicing (IGAS) pattern plays a pivotal role in pathogenesis, progression, and tumor microenvironment. However, the IGAS pattern of post-transcriptional mechanisms in breast cancer remains limited. Here, we performed a systematic analysis of IGAS patterns in breast cancer to assess the association between aberrant IGAS events, prognosis signatures, AS regulatory network, immune cell infiltration level and its marker gene expression, sensitivity to immunotherapy and chemotherapy, and heterogeneity of IGAS clusters. Generally, we demonstrated the prognostic signatures for IGAS events and immune cells, which were valuable information for breast cancer patients in predicting survival and directing immunotherapy and chemotherapy. Abstract Alternative splicing (AS) plays a crucial role in tumor development and tumor microenvironment (TME) formation. However, our current knowledge about AS, especially immunogene-related alternative splicing (IGAS) patterns in cancers, remains limited. Herein, we identified and characterized post-transcriptional mechanisms of breast cancer based on IGAS, TME, prognosis, and immuno/chemotherapy. We screened the differentially spliced IGAS events and constructed the IGAS prognostic model (p-values < 0.001, AUC = 0.939), which could be used as an independent prognostic factor. Besides, the AS regulatory network suggested a complex cooperative or competitive relationship between splicing factors and IGAS events, which explained the diversity of splice isoforms. In addition, more than half of the immune cells displayed varying degrees of infiltration in the IGAS risk groups, and the prognostic characteristics of IGAS demonstrated a remarkable and consistent trend correlation with the infiltration levels of immune cell types. The IGAS risk groups showed substantial differences in the sensitivity of immunotherapy and chemotherapy. Finally, IGAS clusters defined by unsupervised cluster analysis had distinct prognostic patterns, suggesting an essential heterogeneity of IGAS events. Significant differences in immune infiltration and unique prognostic capacity of immune cells were also detected in each IGAS cluster. In conclusion, our comprehensive analysis remarkably enhanced the understanding of IGAS patterns and TME in breast cancer, which may help clarify the underlying mechanisms of IGAS in neoplasia and provide clues to molecular mechanisms of oncogenesis and progression.
Stereotype contents, emotions, and public attitudes: How do Chinese people stereotype nations and national groups?

Previous studies have provided various explanations for people's attitudes toward foreign countries, but we still know very little about causal mechanisms of attitude formation. In this study, we propose that stereotypes play an important role in affecting individuals’ attitudes toward foreign countries. Drawing on survey data collected in 2019 and 2020 in China, we apply the stereotype content model to analyze Chinese people's attitudes toward five countries: the United States, Japan, India, Tanzania, and China itself. Our analyses show that: (a) Chinese respondents stereotype the five countries differently along two dimensions—warmth and competence—with the extremely high evaluations of China itself, indicating in-group favoritism; (b) warmth–competence combinations are closely linked with four emotions—admiration, envy, pity, and contempt—but are also affected by historical and cultural contexts; (c) stereotype contents can predict favorable attitudes toward foreign countries, with warmth stereotypes being more predictive than competence stereotypes; emotions can also predict favorability; and (d) stereotypes of countries are similar to stereotypes of persons from those countries, as is the case for emotions and attitudes.
Network Dynamics and Organizations: A Review and Research Agenda

This paper reviews the growing body of work on network dynamics in organizational research, focusing on a corpus of 187 articles—both “micro” (i.e., interpersonal) and “macro” (i.e., interorganizational)—published between 2007 and 2020. We do not see “network dynamics” as a single construct; rather, it is an umbrella term covering a wide territory. In the first phase of our two-phase review, we present a taxonomy that organizes this territory into three categories: (1) network change (i.e., the emergence, evolution, and transformation of network ties and structures), (2) the occurrence of relational events (i.e., modeling the sequence of discrete actions generated by one actor and directed towards one or more other actors), and (3) coevolution (i.e., the process whereby network and actor attributes influence each other over time). Our review highlights differences between network dynamics based on relational states (e.g., a friendship) and relational events (e.g., an email message), examines the drivers and effects of network dynamics, and in a methodological appendix, clarifies the assumptions, strengths, and weaknesses of different analytical approaches for studying network dynamics. In the second phase of our review, we critically reflect on the findings from the first phase and sketch out a rough agenda for future research, organized in terms of four overarching themes: the interplay between the dynamics of social networks conceived as relational states and relational events, mechanisms underlying network dynamics, outcomes of network dynamics, and the role of cognition.
Reflexions on feedforward control strategies for a class of sailing vehicles

Abstract Sailing vehicles, whether they are sea or land-based, share the unique property of exhibiting totally different trajectories depending on where their direction of travel is with respect to the wind. Following our previous work, this paper discusses a few points related to feedforward control and motion planning of surface sailing vehicles. More specifically, we examine the interplay between simple controllability reasonings and motion planning. These few remarks are used in a constructive way for automatic generation of start/stop maneuvers of a simple model of sailing vehicles. Simulation results are presented to illustrate the approach.
Identi�cation of foodborne botulism with mixed serotypes A, B and E and their in vivo pro�les in four types of clinical specimens

Background Diagnosis of mixed botulism caused by multiple serotypes of botulinum neurotoxin (BoNT) is still a challenge due to the lack of reliable detection method. The present study develops a feasible laboratorial method to detect BoNTs in clinical samples and aims to provide insights into in vivo pro�les of different toxin serotypes. Methods An isotope dilution Endopep-MS method for simultaneously detection of seven serotypes of BoNT was established and further applied to diagnosis of mixed botulism through one-step immunocapture procedure. A comprehensive analysis of four types of clinical specimens, i.e., serum, vomitus, urine, and gastric mucosa samples, from four suspected patients was performed.