Dicyclopenta[4,3,2,1-cde:4',3',2',1'-pqr]-peri-tetracene: Synthesis and An Example of Annulene-Within-An-Annulene Aromaticity in Different Redox States.

We report a robust strategy for tuning the electronic structure and chemical stability of π-conjugated polycyclic hydrocarbons (PHs). By fusing two cyclopentadienyl rings in the peri-tetracene bay regions, we introduce antiaromatic character into the π-system, leading to unique photophysical and electronic properties. A stable mesityl-substituted dicyclopenta-peri-tetracene derivative was synthesized through stepwise formylation/intramolecular cyclization at the bay regions of the dihydro peri-tetracene precursor, followed by oxidative dehydrogenation. This compound features an open-shell singlet diradical ground state, global antiaromaticity, exceptional stability under ambient conditions, and amphoteric redox behavior with a small energy gap. Its dication also possesses an open-shell singlet ground state, and its structure was identified by X-ray crystallographic analysis, revealing a unique [14]annulene-within-[22]annulene global aromatic structure. In contrast, the dianion exhibits a closed-shell singlet ground state. This work provides valuable insights for designing and synthesizing novel open-shell PHs with tunable electronic structures and remarkable stability.

A Mixed Methods Study on Character Traits of Nursing Students and Faculty Influencing a 100% Passing Rate in the Nursing Licensure Exam in the Philippines.

INTRODUCTION: This study explores the character traits contributing to the 100% passing rate of nursing graduates in the Nursing Licensure Examination (NLE) in the Philippines over the past decade. Understanding these traits provides insights into the factors driving academic and professional success in nursing. METHODS: Employing a convergent parallel mixed methods design, this study combined quantitative and qualitative approaches. Data were collected through electronic surveys from 222 nursing alumni and 39 faculty members, focusing on character traits and behaviors linked to NLE success. The quantitative data were analyzed using Statistical Product and Service Solutions (SPSS, version 29; IBM SPSS Statistics for Windows, Armonk, NY) for descriptive statistics and factor analysis. Additionally, in-depth interviews with 21 alumni and 15 faculty members provided qualitative insights. Data saturation was reached with 11 faculty and 13 alumni, ensuring comprehensive coverage of the participants' experiences. RESULTS: Quantitative results from factor analysis showed that spirituality, love of learning, honesty, and kindness are among the qualities that are necessary for success in NLE. These character traits have a significant impact on both career readiness and academic performance. Qualitative results revealed the importance of resilience, faculty support, and peer relationships in fostering these attributes. It became evident that building a healthy learning environment required the support of peers and professors and that resilience was necessary to manage the stress of tests. Both datasets emphasized the need for a strong character and academic achievement in conjunction with long-term success. DISCUSSION: The study highlights that obtaining a high NLE passing rate is mostly dependent on academic knowledge in addition to character attributes. Character education techniques such as role-playing, reflective writing, and service-learning can be incorporated into nursing curricula to improve attributes such as empathy and resilience. Continuous faculty development and structured mentorship are also crucial. CONCLUSION: Character development must be incorporated into academic learning in nursing education. Focusing on qualities such as empathy, resilience, and ethical judgment, along with implementing character education tactics such as service-learning and reflective writing, are crucial to prepare graduates to succeed in professional practice and board exams. A comprehensive approach that blends character development with academic achievement produces skilled and compassionate healthcare professionals.

A Phylogenomic Backbone for Acoelomorpha Inferred from Transcriptomic Data.

Xenacoelomorpha are mostly microscopic, morphologically simple worms, lacking many structures typical of other bilaterians. Xenacoelomorphs -which include three main groups: Acoela, Nemertodermatida, and Xenoturbella- have been proposed to be an early diverging Bilateria, sister to protostomes and deuterostomes, but other phylogenomic analyses have recovered this clade nested within the deuterostomes, as sister to Ambulacraria. The position of Xenacoelomorpha within the metazoan tree has understandably attracted a lot of attention, overshadowing the study of phylogenetic relationships within this group. Given that Xenoturbella includes only six species whose relationships are well understood, we decided to focus on the most speciose Acoelomorpha (Acoela + Nemertodermatida). Here, we have sequenced 29 transcriptomes, doubling the number of sequenced species, to infer a backbone tree for Acoelomorpha based on genomic data. The recovered topology is mostly congruent with previous studies. The most important difference is the recovery of Paratomella as the first off-shoot within Acoela, dramatically changing the reconstruction of the ancestral acoel. Besides, we have detected incongruence between the gene trees and the species tree, likely linked to incomplete lineage sorting, and some signal of introgression between the families Dakuidae and Mecynostomidae, which hampers inferring the correct placement of this family and, particularly, of the genus Notocelis. We have also used this dataset to infer for the first time diversification times within Acoelomorpha, which coincide with known bilaterian diversification and extinction events. Given the importance of morphological data in acoelomorph phylogenetics, we tested several partitions and models. Although morphological data failed to recover a robust phylogeny, phylogenetic placement has proven to be a suitable alternative when a reference phylogeny is available.

Analyses of Physical and Psychological Characteristics of "Squid Game" Characters Using East Asian Biopsychosocial Personality Theories and Body Mass Index.

Media characters' physical and psychological traits are crucial for character development and audience engagement. This study examines East Asian perspectives on the audience's perceptions of the physical appearance and personality, using Eum-Yang biopsychological Sasang theory, of five characters from the Netflix series "Squid Game". A total of 221 university students assessed the traits of five "Squid Game" characters using the Sasang Personality Questionnaire (SPQ) and a visual Body Mass Index (BMI). ANOVA and Profile Analysis revealed significant and comprehensive differences in the SPQ and its subscales (behavior, SPQ-B; cognition, SPQ-C; and emotion, SPQ-E) as well as BMI among the five drama characters. More specifically, Seong Gi-hun (SGH) and Han Mi-nyeo (HMN) were So-Yang types (high SPQ, moderate BMI), Cho Sang-woo (CSW) and Kang Sae-byeok (KSB) were So-Eum types (low SPQ, low BMI), and Jang Deok-su (JDS) was Tae-Eum type (moderate SPQ, high BMI). Psychological profiling showed two patterns: V-shaped (high SPQ-B, low SPQ-C, high SPQ-E) for SGH, HMN, and JDS, and A-shaped (low SPQ-B, high SPQ-C, low SPQ-E) for CSW and KSB. These results contribute to media psychology by highlighting the relevance of Eum-Yang and Sasang typology for creating and analyzing complex characters, thereby enhancing global understanding for East Asian biopsychosocial theories.

Development of Halloysite Nanohybrids-Based Films: Enhancing Mechanical and Hydrophilic Properties for Wound Healing.

Most of the therapeutic systems developed for managing chronic skin wounds lack adequate mechanical and hydration properties, primarily because they rely on a single component. This study addresses this issue by combining organic and inorganic materials to obtain hybrid films with enhanced mechanical behavior, adhesion, and fluid absorption properties. To that aim, chitosan/hydrolyzed collagen blends were mixed with halloysite/antimicrobial nanohybrids at 10% and 20% (w/w) using glycerin or glycerin/polyethylene glycol-1500 as plasticizers. The films were characterized through the use of Fourier-transform infrared (FTIR) spectroscopy, thermogravimetric analysis (TGA), and electron microscopy. The mechanical properties were evaluated macroscopically using tensile tests, and at a nanoscale through atomic force microscopy (AFM) and nanoindentation. Thermodynamic studies were conducted to assess their hydrophilic or hydrophobic character. Additionally, in vitro cytocompatibility tests were performed on human keratinocytes. Results from FTIR, TGA, AFM and electron microscopy confirmed the hybrid nature of the films. Both tensile tests and nanomechanical measurements postulated that the nanohybrids improved the films' toughness and adhesion and optimized the nanoindentation properties. All nanohybrid-loaded films were hydrophilic and non-cytotoxic, showcasing their potential for skin wound applications given their enhanced performance at the macro- and nanoscale.

The genome sequence of the Hebrew Character, Orthosia gothica (Linnaeus, 1758).

We present a genome assembly from an individual female Orthosia gothica (the Hebrew character; Arthropoda; Insecta; Lepidoptera; Noctuidae). The genome sequence is 1,065.1 megabases in span. Most of the assembly is scaffolded into 37 chromosomal pseudomolecules, including the Z sex chromosome. The mitochondrial genome has also been assembled and is 15.38 kilobases in length. Gene annotation of this assembly on Ensembl identified 13,691 protein coding genes.

A character-strengths based coaching intervention to improve wellbeing of rural community health workers in Madhya Pradesh, India: Protocol for a single-blind randomized controlled trial.

Background: There is scarce knowledge on the use of structured positive psychology interventions for reducing work-stress and improving wellbeing of rural community health workers in India, particularly the Accredited Social Health Activists (ASHAs) who are village-level (resident women, incentivised) lay health workers. This trial will test the effectiveness of a 'character-strengths' based coaching intervention compared to routine supervision on wellbeing ('authentic happiness') of ASHAs. Methods: This protocol is for a single-blind, parallel group randomized controlled trial comparing the effectiveness of a five-day residential workshop focusing on the use of character-strengths and subsequent 8- to 10-week remote telephonic coaching (weekly) to individually support ASHAs to improve their wellbeing, against routine health system support. The arms are intervention added to routine ASHA supervision (weekly, by the ASHA supervisor), and routine supervision alone (control arm). The target sample comprises 330 rural ASHAs in Madhya Pradesh, India. The primary outcome of mean Authentic Happiness Inventory (AHI) scores will be compared between arms at 3-month follow-up. Secondary outcomes will include an assessment of ASHA's self-reported affect, self-efficacy, flourishing, burnout, motivation, physical health symptoms, quality of life, and routine work performance indicators, and the consequent patient-level outcomes [e.g., service satisfaction and depression remission rates after receiving brief psychological treatment by trained ASHAs]. We will also evaluate the costs of developing and delivering the intervention. Discussion: This trial will determine whether a character-strengths based coaching intervention is an effective and scalable approach for reducing work-stress and improving wellbeing of rural ASHAs in low-resource settings.

Improving tabular data extraction in scanned laboratory reports using deep learning models.

OBJECTIVE: Medical laboratory testing is essential in healthcare, providing crucial data for diagnosis and treatment. Nevertheless, patients' lab testing results are often transferred via fax across healthcare organizations and are not immediately available for timely clinical decision making. Thus, it is important to develop new technologies to accurately extract lab testing information from scanned laboratory reports. This study aims to develop an advanced deep learning-based Optical Character Recognition (OCR) method to identify tables containing lab testing results in scanned laboratory reports. METHODS: Extracting tabular data from scanned lab reports involves two stages: table detection (i.e., identifying the area of a table object) and table recognition (i.e., identifying and extracting tabular structures and contents). DETR R18 algorithm as well as YOLOv8s were involved for table detection, and we compared the performance of PaddleOCR and the encoder-dual-decoder (EDD) model for table recognition. 650 tables from 632 randomly selected laboratory test reports were annotated and used to train and evaluate those models. For table detection evaluation, we used metrics such as Average Precision (AP), Average Recall (AR), AP50, and AP75. For table recognition evaluation, we employed Tree-Edit Distance (TEDS). RESULTS: For table detection, fine-tuned DETR R18 demonstrated superior performance (AP50: 0.774; AP75: 0.644; AP: 0.601; AR: 0.766). In terms of table recognition, fine-tuned EDD outperformed other models with a TEDS score of 0.815. The proposed OCR pipeline (fine-tuned DETR R18 and fine-tuned EDD), demonstrated impressive results, achieving a TEDS score of 0.699 and a TEDS structure score of 0.764. CONCLUSIONS: Our study presents a dedicated OCR pipeline for scanned clinical documents, utilizing state-of-the-art deep learning models for region-of-interest detection and table recognition. The high TEDS scores demonstrate the effectiveness of our approach, which has significant implications for clinical data analysis and decision-making.

A deep learning approach for line-level Amharic Braille image recognition.

Braille, the most popular tactile-based writing system, uses patterns of raised dots arranged in cells to inscribe characters for visually impaired persons. Amharic is Ethiopia's official working language, spoken by more than 100 million people. To bridge the written communication gap between persons with and without eyesight, multiple Optical braille recognition systems for various language scripts have been developed utilizing both statistical and deep learning approaches. However, the need for half-character identification and character segmentation has complicated these systems, particularly in the Amharic script, where each character is represented by two braille cells. To address these challenges, this study proposed deep learning model that combines a CNN and a BiLSTM network with CTC. The model was trained with 1,800 line images with 32 × 256 and 48 × 256 dimensions, and validated with 200 line images and evaluated using Character Error Rate. The best-trained model had a CER of 7.81% on test data with a 48 × 256 image dimension. These findings demonstrate that the proposed sequence-to-sequence learning method is a viable Optical Braille Recognition (OBR) solution that does not necessitate extensive image pre and post processing. Inaddition, we have made the first Amharic braille line-image data set available for free to researchers via the link: https://github.com/Ne-UoG-git/Am-Br-line-image.github.io .

A tripartite taxonomy of character strengths & virtues: toward professional identity formation in medical students & physicians.

BACKGROUND: There are limited comprehensive descriptions of character strengths and virtues specific to the professional identity formation of medical students in the literature. This absence of a satisfactory summation of virtues has stimulated us to attempt a conceptual framework utilizing a tripartite taxonomy. This taxonomy reflects recent interest in and importance of justice and care of the self. METHODS: Our taxonomy is grounded within a perennial tradition of medical ethics that focuses on the moral "excellences" or "virtues" that form the character of a good doctor, as acquired over time within a community of practice. Character refers to the whole set of excellences of a practitioner as a member of the medical community. RESULTS: We propose a tripartite taxonomical classification of virtues as Other-Regarding Virtues, Self-Regarding Virtues, and Equal-Regarding Virtues. Though synergistic, each category is readily distinguishable with regard to a fundamental mindset. To thrive, a medical student must develop character strengths that encompass all three categories. CONCLUSIONS: Our goal in introducing this tripartite taxonomy is to provide a framework of virtues to contribute to the definition of professional identity. We envision the taxonomy will provide a structure for professional identity formation curriculum development and organize the ever-elusive assessment of professionalism in learners. This taxonomy can also be viewed as an aspirational roadmap for practicing physicians and educators, and as a compass for their daily consciousness. We believe that this taxonomy will enhance the well-being and development of physicians and medical students, and the patients in their care.

Chickadees sing different songs in sympatry versus allopatry.

Character displacement theory predicts that closely-related co-occurring species should diverge in relevant traits to reduce costly interspecific interactions such as competition or hybridization. While many studies document character shifts in sympatry, few provide corresponding evidence that these shifts are driven by the costs of co-occurrence. Black-capped (Poecile atricapillus) and mountain chickadees (P. gambeli) are closely-related, ecologically similar, and broadly distributed songbirds with both allopatric and sympatric populations. In sympatry, both species appear to suffer costs of their co-occurrence: 1) both species are in worse body condition compared to allopatry and 2) hybridization sometimes yields sterile offspring. Here, we explored character displacement in the songs of black-capped and mountain chickadees by characterizing variation in male songs from sympatric and allopatric populations. We found that mountain chickadees sing differently in sympatry versus allopatry. Specifically, they produced more notes per song, were more likely to include an extra introductory note, and produced a smaller glissando in their first notes compared to all other populations. Combined with previous research on social dominance and maladaptive hybridization between black-capped and mountain chickadees, we posit that differences in sympatric mountain chickadee song are population-wide shifts to reduce aggression from dominant black-capped chickadees and/or prevent maladaptive hybridization.

Educating future leaders to engage the challenges of a changing world: A blended-learning approach to character and leadership education at the University of Hong Kong.

How can a new generation of students be equipped to take up positions of responsibility in a dynamic global environment, serving as leaders and citizens who will further the good of societies around the world? As the institutions responsible for educating the next generation of citizens and leaders at a formative time in their intellectual and personal development, universities have an important role to play in shaping those who will shape society. While many universities emphasize their desire to raise up future leaders for our challenging times, programmes that actively seek to help students develop qualities of character required for responsible leadership are rare. This article discusses the importance of character in leadership education and draws on a case study programme at the University of Hong Kong, which made use of a creative combination of in-person and online learning to help students grow in their intellectual understanding of leadership as well as in the self-knowledge and virtues of character required to enact responsible leadership in their own lives. The article describes the pedagogical methodology that was employed and presents the results of an exploratory, quasi-experimental longitudinal study of the programme's impact, which was designed to establish proof of concept. The analysis of qualitative data supports the potential of such programmes to make a positive contribution to students' intellectual understanding of leadership as well as their leadership identity and ethical formation1.

The Global and Local Patterns of Reading-Related Cognitive and Ecological Variables in Chinese First-Grade Children: A Cross-Sectional Network Analysis.

In the current study, we tested a network model of reading difficulty by using state-of-the-art psychological network analysis. Four hundred and fifty-three Chinese first-grade children (about 38% female, mean age = 7.00, SD = 0.41) were divided into good (n = 154), competent (n = 147), and struggling readers (n = 152) based on their scores of Chinese character reading. The Extended Bayesian Information Criterion graphical lasso (EBICglasso) method was applied to estimate cross-sectional networks for the three groups. Each network included four cognitive nodes (homophone awareness, morphological structure awareness, phonological awareness, and vocabulary) and two ecological nodes (family socioeconomic status and the number of books at home). Chronological age and nonverbal intelligence were also included in the estimated networks. The global (i.e., global structure and global connectivity) and local patterns (i.e., the most important edges and nodes) in each network were reported. The network comparison results showed that global connectivity was significantly lower among struggling readers than for good readers, implying that a holistic impairment of bidirectional connections among multiple variables relates to the difficulty in learning to read. The theoretical and empirical implications and the significance of applying the network approach to reading research are discussed.

The relationship between prodromal symptom levels and affective temperament features and emotional dysregulation in patients diagnosed with bipolar disorder and their first-degree relatives: A controlled study.

BACKGROUND: The frequency of developing psychiatric symptoms is higher in the first-degree relatives of bipolar patients compared to the healthy population. This study aims to determine the possible diagnosis of bipolarity by revealing the bipolar prodromal features, temperament changes, and emotional disregulation in the first-degree relatives of bipolar patients and their interrelationships. METHODS: A total of 150 patients, including bipolar disorder patients, their first-degree relatives, and a healthy control group, aged 18-65 who met the study inclusion criteria, were included in the study. Sociodemographic data form, Bipolar Prodromal Symptom Scale (BPSS), Temperament Evaluation of Memphis, Pisa, Paris, San Diego Autoquestionnaire (TEMPS-A), and Difficulty in Emotion Regulation Scale (DERS) were administered to all participants. RESULTS: Significant differences were found between the BPSS, TEMPS-A, and DERS total and subscale scores of the bipolar patient group, first-degree relatives, and healthy control group (p < 0.001). There were significant differences in BPSS frequency and severity subscale scores, TEMPS-A hyperthymic and cyclothymic subscale scores, and DERS strategy, goal-oriented, and awareness subscale scores between patients and their first-degree relatives (p < 0.001). Additionally, all scale scores of the patient relatives were significantly different from the healthy control group (p < 0.001). A significant relationship was found between the prodromal scores and temperament scores of the patient relatives, and between the temperament scores and DERS scores (p < 0.001). CONCLUSION: It has been observed that the severity and frequency of bipolar prodromal symptoms, temperament changes, and difficulty in mood regulation are higher in bipolar patients and their first-degree relatives compared to the healthy population. Differences were found in hyperthymic and cyclothymic temperament features and difficulty in mood regulation scores between bipolar patients and their first-degree relatives. Patient relatives showed significant changes in all parameters compared to the healthy group. The severity of bipolar prodromal symptoms in patient relatives was associated with cyclothymic and anxious temperament features, while the frequency of bipolar symptoms was associated with anxious temperament. Relationships were found between some temperament and mood regulation difficulty sub-scores. In light of these findings, evaluating clinical variables such as the frequency and severity of prodromal symptoms, temperament features, and difficulty in mood regulation in the first-degree relatives of bipolar patients may be an appropriate approach for diagnosing mood disorders.

Advancing flourishing as the north star of medical education: A call for personal and professional development as key to becoming physicians.

Over the past 15 years, multiple calls to transform medical education, and by extension, health sciences education, have addressed issues pertaining to learners' subjective experiences as well as the learning environment. By and large, these calls to transform share many of the same themes: greater engagement with the humanities, enhanced professional identity formation, leadership development, as well as systemic changes to enhance meaning, purpose, and belonging. However, the many initiatives and reforms underway in medical education have yet to fully reach their desired outcomes - particularly those focused on enhancing meaning, purpose, and belonging. We suggest that calls to transform medical education can be unified and guided by focusing on the promotion of human flourishing. Briefly, we define human flourishing as an aspirational objective enabling one to reach a state of 'wholeness-of being and doing, of realizing one's potential and helping others do the same.' We share our implications of a flourishing guided medical education journey for medical students, residents, and faculty.

Assessing Intellectual Virtues: The Virtuous Intellectual Character Scale (VICS).

The main objective of this paper is to develop a scale that can facilitate a comprehensive assessment of intellectual virtues. To our knowledge, no instrument has been designed to assess virtuous intellectual character as a global construct, and this article aimed to fill this research gap through two studies. The first study aimed to investigate the construct validity and reliability of the scale, while the second study aimed to confirm the factorial structure observed in Study 1 and to analyze the convergent validity of the new scale. Study 1 included 545 college students (mean age = 19.57 years, SD = 1.41) enrolled in 33 undergraduate degree programs at Argentinean universities. Study 2 included 700 college students (mean age = 18.07, SD = 0.95). The EFA carried out in Study 1 identified five dimensions of the VICS (attentiveness, open-mindedness, curiosity, carefulness, and intellectual autonomy), and the CFA carried out in Study 2 validated the five-factor structure. A bifactor model indicated that each group of items was related to a specific virtue while simultaneously being linked to a bifactor or global construct, i.e., "a virtuous intellectual character." Our results confirm the existence of a global construct while preserving the specificity of each virtue. The results of Study 2 indicated that the VICS total score and its five factors are associated with intellectual humility, deep thinking, bravery, academic engagement, and social and psychological well-being. However, all intellectual virtues were only weakly associated with emotional well-being. Finally, both studies indicated good reliability of the VICS.

A test of the mechanistic process behind the convergent agonistic character displacement hypothesis.

In this era of rapid global change, understanding the mechanisms that enable or prevent species from co-occurring has assumed new urgency. The convergent agonistic character displacement (CACD) hypothesis posits that signal similarity enables the co-occurrence of ecological competitors by promoting aggressive interactions that reduce interspecific territory overlap and hence, exploitative competition. In northwestern Switzerland, ca. 10% of Phylloscopus sibilatrix produce songs containing syllables that are typical of their co-occurring sister species, Phylloscopus bonelli ("mixed singers"). To examine whether the consequences of P. sibilatrix mixed singing are consistent with CACD, we combined a playback experiment and an analysis of interspecific territory overlap. Although P. bonelli reacted more aggressively to playback of mixed P. sibilatrix song than to playback of typical P. sibilatrix song, interspecific territory overlap was not reduced for mixed singers. Thus, the CACD hypothesis was not supported, which stresses the importance of distinguishing between interspecific aggressive interactions and their presumed spatial consequences.

The Relationship Between Character Strengths and Subjective Well-Being Among Chinese Impoverished College Students: The Chain Mediating Roles of Perceived Social Support and Positive Emotions.

Background and Objective: The mental health of economically disadvantaged college students in China is notably inferior to that of their non-disadvantaged peers. As such, these students necessitate a broader spectrum of psychological support beyond mere financial assistance. Seligman's PERMA theory has established a compelling association between social support and positive emotions with subjective well-being. However, there is a scarcity of research focusing on character strengths within this framework, particularly the mechanisms that underlie their relationship. Hence, this study aims to examine the relationship between character strengths and subjective well-being among Chinese impoverished college students, while also delving into the chain mediating roles of perceived social support and positive emotions. Methods: A convenience sampling method was employed to collect cross-sectional data from impoverished college students. Participants (N=336, Mean age=20.67) were assessed using four instruments: the Chinese Virtues Questionnaire (CVQ-96), the Perceived Social Support Scale (PSSS), the Positive and Negative Affect Scale (PANAS), and the Satisfaction with Life Scale (SWLS). Results: Character strengths, perceived social support, positive emotions, and subjective well-being were all significantly positively correlated with each other (p<0.01). In addition, regression analysis indicated that character strengths positively predicted perceived social support (ß=0.71, p<0.001), positive emotions (ß=0.44, p<0.001), and subjective well-being (ß=0.52, p<0.001). Perceived social support positively predicted positive emotions (ß=0.34, p<0.001), and subjective well-being (ß=0.44, p<0.001). Positive emotions positively predicted subjective well-being (ß=0.88, p<0.001). Furthermore, chain mediation analysis revealed that character strengths influenced subjective well-being both directly and indirectly through perceived social support and positive emotions. Conclusion: Perceived social support and positive emotions play a chain mediating role between character strengths and subjective well-being among impoverished college students.

Positive character and psychological well-being: A nuanced examination among adolescents from diverse rural-urban and migration contexts.

INTRODUCTION: Positive character is an integral component of positive youth development that relates to psychological well-being among adolescents, yet the literature has largely overlooked its within-group variation. This study examined the latent profiles of positive character and explored their variation in psychological well-being across four adolescent groups (i.e., migrant, left-behind, rural local, and urban local adolescents) within each profile. METHODS: A diverse sample of 15,895 adolescents from 10 provinces of China (Meanage = 13.16, SD = 2.53; 47.5% girls) completed a cross-sectional survey on positive character and psychological well-being in 2017. Latent profile analysis (LPA) was conducted based on four positive characters. We investigated the distribution of each positive character profile across subgroups, as well as if and how the psychological well-being varied across different adolescent groups within each profile. RESULTS: LPA revealed three subgroups, including "Thriving" (53.6%), "Moderate" (39.1%), and "Lagging" (7.4%) positive character profiles. The "Thriving" profile was more prevalent among the urban local (58.5%) and migrant (55.8%) adolescent groups, while the "Lagging" profile was most prevalent among the left-behind adolescent group (11.6%). Urban local and migrant adolescents tended to show better psychological well-being compared to rural local and left-behind adolescents, and the disparities were generally more pronounced under the "Thriving" profile as compared to the "Moderate" and "Lagging" profiles. CONCLUSIONS: Three positive character profiles were captured among four groups of Chinese adolescents varied in parental migration status and rural-urban residency. Tailored youth development programs are needed for different groups of adolescents varying in positive character profiles.

Character recognition system for pegon typed manuscript.

The Pegon script is an Arabic-based writing system used for Javanese, Sundanese, Madurese, and Indonesian languages. Due to various reasons, this script is now mainly found among collectors and private Islamic boarding schools (pesantren), creating a need for its preservation. One preservation method is digitization through transcription into machine-encoded text, known as OCR (Optical Character Recognition). No published literature exists on OCR systems for this specific script. This research explores the OCR of Pegon typed manuscripts, introducing novel synthesized and real annotated datasets for this task. These datasets evaluate proposed OCR methods, especially those adapted from existing Arabic OCR systems. Results show that deep learning techniques outperform conventional ones, which fail to detect Pegon text. The proposed system uses YOLOv5 for line segmentation and a CTC-CRNN architecture for line text recognition, achieving an F1-score of 0.94 for segmentation and a CER of 0.03 for recognition.