Miracle-dz/UniFAR-FTUs huggingface dataset:
Moderating Effect of Self-Esteem on the Relationship between Depression and Family Conflict Coping Strategies in the Elderly with Chronic Diseases in Korea

(1) Background: The elderly with chronic diseases often experience high levels of depression, which can negatively affect their family conflict coping strategies. Additionally, as the level of depression increases, self-esteem tends to decrease. This study aims to investigate whether self-esteem plays a moderating role in the relationship between depression and family conflict coping strategies among the elderly with chronic diseases. (2) Method: The subjects were 2501 older adults with chronic diseases included in the 16th Korean Welfare Panel Study. The CES-D scale, Rosenberg Self-Esteem Scale, and the tool of Family Conflict Coping Strategies were used. (3) Results: Depression was negatively correlated with self-esteem and coping strategies for family conflict, while self-esteem was positively correlated with coping strategies for family conflict. In the multiple regression model, self-esteem had a moderating effect (F = 43.20, p < 0.001). This result indicated that as self-esteem increases, the negative influence of depression on family conflict coping strategies becomes weaker (β = −0.08, t = −3.04, p = 0.002). (4) Conclusions: When addressing family conflict coping strategies in the elderly with chronic diseases, it is crucial to focus on enhancing self-esteem. Additionally, it may be beneficial to classify the elderly into groups based on their level of self-esteem.
Wild cats status survey and conservation action plan

Presents the most comprehensive and up-to-date information available on the 36 wild cats of the world. It includes the first published collection of detailed range maps and some of the first photographs of rare species in the wild. It provides a thorough review of major issues in cat conservation such as habitat loss and management of big cats in livestock areas; field and laboratory research; international trade; the role of zoos; and reintroduction. High priority are identified to further the cause of cat conservation
Artificial neural network‐driven federated learning for heart stroke prediction in healthcare 4.0 underlying 5G

In recent years, smart healthcare, artificial intelligence (AI)‐aided diagnostics, and automated surgical robots are just a few of the innovations that have emerged and gained popularity with the advent of Healthcare 4.0. Such technologies are powered by machine learning (ML) and deep learning (DL), which are preferable for disease diagnosis, identifying patterns, prescribing treatments, and forecasting diseases like stroke prediction, cancer prediction and so forth. Nevertheless, much data is needed for AI, ML, and DL‐based systems to train effectively and provide the desired outcomes. Further, it raises concerns about data privacy, security, communication overhead, regulatory compliance and so forth. Federated learning (FL) is a technology that protects data security and privacy by limiting data sharing and utilizing model information of distributed systems to enhance performance. However, existing approaches are traditionally verified on pre‐established datasets that fail to capture real‐life applicability. Therefore, this study proposes an AI‐enabled stroke prediction architecture consisting of FL based on the artificial neural network (ANN) model using data from actual stroke cases. This architecture can be implemented on healthcare‐based wearable devices (WD) for real‐time use as it is effective, precise, and computationally affordable. In order to continuously enhance the performance of the global model, the proposed FL‐based architecture aggregates the optimizer weights of many clients using a fifth‐generation (5G) communication channel. Then, the performance of the proposed FL‐based architecture is studied based on multiple parameters such as accuracy, precision, recall, bit error rate, and spectral noise. It outperforms the traditional approaches regarding accuracy, which is 5% to 10% higher.
Parks in Transition: Biodiversity, Rural Development and the Bottom Line

Collection of papers drawing on insight from over 50 case studies and synthesising them into lessons to guide park management in transitional economies where the challenges of poverty and governance can be severe. The central message is that parks are common property regimes that should serve society. It analyses and sheds light on the crucial questions arising from this perspective. If parks are set aside to serve poor people, should conservation demands over-rule demands for jobs and economic growth? Or will deliberately using parks as bridgeheads for better land use and engines for rural development produce more and better conservation? The issue that arises at all levels is that of accountability, including the problematic linkages between parks authorities and political systems, and the question of how to measure park performance. This book provides vital new insights for park management, regarding the relationship between conservation and commercialization, performance management, new systems of governance and management and linkages between parks, landscape and the land-use economy.
MARS: A DRL-Based Multi-Task Resource Scheduling Framework for UAV With IRS-Assisted Mobile Edge Computing System

This article studies a dynamic Mobile Edge Computing (MEC) system assisted by Unmanned Aerial Vehicles (UAVs) and Intelligent Reflective Surfaces (IRSs). We propose a scaleable resource scheduling algorithm to minimize the energy consumption of all UEs and UAVs in the MEC system with a variable number of UAVs. We propose a Multi-tAsk Resource Scheduling (MARS) framework based on Deep Reinforcement Learning (DRL) to solve the problem. First, we present a novel Advantage Actor-Critic (A2C) structure with the state-value critic and entropy-enhanced actor to reduce variance and enhance the policy search of DRL. Then, we present a multi-head agent with three different heads in which a classification head is applied to make offloading decisions and a regression head is presented to allocate computational resources, and a critic head is introduced to estimate the state value of the selected action. Next, we introduce a multi-task controller to adjust the agent to adapt to the varying number of UAVs by loading or unloading a part of weights in the agent. Finally, a Light Wolf Search (LWS) is introduced as the action refinement to enhance the exploration in the dynamic action space. The numerical results demonstrate the feasibility and efficiency of the MARS framework.
Impacto del sistema de cable aéreo (metrocable) sobre la accesibilidad en la comuna #1 de Medellín

La ciudad de Medellin inauguro en el ano 1995 un sistema de Metro, sin embargo en el ano 2004 todavia existian algunas zonas de la ciudad con problemas de transporte. Este es el caso de la comuna #1 de Medellin, la cual a pesar de tener la estacion de Metro Acevedo a una distancia entre los 800m y los 2500m segun el barrio, su acceso era dificil debido principalmente a factores como la topografia, bajos niveles de ingreso y la deficiente oferta de transporte publico. Con el objetivo de superar dichos problemas, la alcaldia de Medellin decidio construir un cable aereo, Metrocable, como sistema de transporte publico en dicha comuna e integrarlo al Metro.
Preoperative lymphocyte count, neutrophil to lymphocyte and platelet to lymphocyte ratio predict the recurrence with progression and cancerization in vocal fold lesions—retrospective study

Backgrounds This study explored the contribution of peripheral blood markers in diagnosis and prognosis estimation of different stages of laryngeal dysplasia and early glottic cancer. Methods Retrospective analysis of clinical, histopathological and laboratory data of 220 patients including hemoglobin, neutrophil, lymphocyte, monocyte and platelet counts, neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR). Results The mean hemoglobin level and platelets count showed differences between histopathological stages of lesions (p = 0.041 and 0.046, respectively). In patients with recurrent lesions mean level of lymphocyte count, NLR and PLR were significant in assessing progression and cancerization (p = 0.005, 0.028 and 0.023, respectively). The univariate analysis recognized level of PLR ≥ 141.74 as significant risk factor of the recurrence of vocal fold hypertrophic lesions (OR = 1.963). Conclusions The levels of blood cells and their ratios seem to be effective in predicting the recurrence of lesion and even more their potential role in indicating malignant progression.
Evaluation of primary school managers' duties in digital transformation

This research examines the knowledge of managers about technology leadership, metaverse and artificial intelligence and will determine to what extent managers can adapt to the new age. This study evaluates the digital skills, awareness of digital transformation and effective use of digital tools by school administrators with the increasing use of digital technologies in the education of teachers and students. In order to obtain all these data, open-ended questions were asked to the school administrators. The study group of this research, which was conducted with a qualitative study, consists of school principals and assistant principals working in primary schools in Northern Cyprus in the 2022-2023 academic year. The working group consists of 18 participants. The results of the research show that school administrators play an important role in developing their digital skills and successfully managing digital transformation. When the ideas are examined in general, it is argued that the main goal of adapting to the modern age is to bring all the necessary technological tools to the school, to inform the teachers about artificial intelligence and metaverse before students, and to develop their skills in using technological devices. School administrators also stated that if they have their own inadequacies before teachers, it is necessary to improve themselves in these areas, which will benefit the school and students in digital transformation. Artificial intelligence and metaverse technologies would cost schools very high and that the schools would not be able to cover the costs of these technologies.
Evaluating urban sprawl using remote sensing and geographic information systems techniques

Urban sprawl and climate change are two main environmental problems of the 21st century, and these two aspects are interconnected. The objectives of this study are to; (i) investigate the process of urban sprawl in Shiraz city, Iran, (ii) describe the history of city growth and to predict the growth using Cellular Automata (CA) environmentally protected scenarios, and (iii) analyze the environmental impact of the past and future urban growth. Urban sprawl of Shiraz city, located in southern part of Iran, in the last 30 years has been measured using multi temporal Landsat and SPOT satellite images taken from four different years; 1976, 1990, 2000 and 2005. Shannon’s entropy method has been used to measure the urban sprawl and the results showed that Shiraz city is in the early stages of sprawl. A Cellular Automata model which is integrated with Markov chain analysis is used to predict the future city growth pattern for the years 2010, 2015 and 2020 by three different designed scenarios. The first scenario takes into account the current growth pattern for the future years, while, the second and the third scenarios have different environmental protection considerations for prediction. The results showed the abilities of CA-Markov based models for city growth simulation. Impacts of urban sprawl on vegetation coverage and water resources for the previous and projected years have been quantified. The results showed that during the past three decades, vegetation coverage and surface water resources in many places have been replaced by the built-up area. It showed that during the past three decades, there was no environmental protection planning over Shiraz city and if the current growth pattern continues in the future, the city will encounter serious environmental problems.
Case Series on Effectiveness of Cutting-Down Program for Managing Non-Suicidal Self-Injury Among Adolescents

Background: Non-suicidal self-injury (NSSI) is an emerging issue among adolescents with a growing prevalence in clinical settings. It is a multi-faceted condition in terms of psychiatric comorbidities, variation in the form and method of self-harm, body area, the pattern of the wound and the function served, and therefore, understanding and managing it adequately in routine clinical practice is a challenge. There is a need for research to focus on in-depth understanding of the effectiveness of and process issues for existing interventions for NSSI in adolescents. Aim: The present research is a case series aimed at examining the effectiveness of the cutting-down programme (CDP), a manualized cognitive behaviour therapy programme, in reducing the frequency and intensity of NSSI acts and urges in two adolescents. The objectives of the study were to examine the effect of the CDP on depressive symptoms, dysfunctional attitudes, emotion regulation, experiential avoidance and global functioning in adolescents with NSSI, and to explore the association of patient motivation and patient perception of therapy with therapy outcome in adolescents with NSSI. Method: For the study, two adolescents with NSSI who presented to the Department of Child and Adolescent Psychiatry, NIMHANS, Bangalore, were recruited using purposive sampling. They were assessed using the MINI-International Neuropsychiatric Interview for Children and Adolescents (MINI Kid Screen 7.0.2). In addition, standardized were used to assess the severity and functions of NSSI, borderline personality disorder, depression, emotion regulation skills, dysfunctional attitudes, psychological flexibility and global functioning. The participants were also assessed on a semi-structured interview to assess NSSI every week during the intervention. Baseline measures were repeated when the CDP was completed. Further, the non-specific factors such as patient’s perceptions of therapy and patient motivation were assessed using the standardized scales. Results: The CDP was found to be effective in reducing the NSSI among the two adolescents. It also improved their depressive symptoms, dysfunctional attitudes, emotion regulation, experiential avoidance and global functioning. The therapy outcome was related to the participants’ motivations and perceptions of therapy. Conclusion: The CDP is an effective intervention for reducing NSSI acts. However, client characteristics such as perception and motivation for therapy will play a role in therapy outcome.
Evaluating Antimicrobial Effectiveness of Gold Nanoparticles against Streptococcus oralis

Biofilm includes many microorganisms that causes the periodontal diseases. The increased drugs resistance against the infectious diseases is a major issue owing to excessive using of a broad spectrum of antibiotics. Recently, metallic nanoparticles (NPs) are being administered to control the growth of different types of microorganisms. For instance, gold nanoparticles (Au NPs) are found to be successful to control and limit the bacterial pathogenicity in the oral cavity without any cytotoxic effects on the human body. Aim. In this paper, it was aimed to detect the antibacterial effect of Au NPs and compare with chlorhexidine (CHX) against Streptococcus oralis (S. oralis) in dental plaque of patients with chronic periodontitis. Materials and Methods. First, supragingival and subgingival plaque samples were collected from the patients suffering from periodontal disease and incubated under aerobic or/and anaerobic conditions. Second, the morphological examination, and biochemical test by Vitec 2 machine are used to confirm the S. oralis species. Third, the synthesis of Au NPs was carried out by seed growth method and their properties were characterized. Finally, the antimicrobial effect of the Au NPs against S. oralis was evaluated by Agar well diffusion method for different Au NPs concentrations (100, 50, 25, 12.5, 6.25, 3.125, 1.562, 0.781, 0.391, 0.195, and 0.097 ppm). CHX was used as the positive control and distilled water as the negative control. The antibacterial activity data were statistically analyzed by least significant difference (LSD) using the Statistical Program for Social Science (SPSS) version 22. Results. The Au NPs with an average particles size of 43 nm, polycrystalline face-centered cubic structure were characterized. The Au NPs at 100 ppm concentration had similar antibacterial effect of CHX for inhibiting the growth of S. oralis, with no significant difference. Conclusions. The Au NPs as an antibacterial agent could be equally effective against S. oralis similar to the CHX when used at higher concentration.
Preterm infant retinal OCT markers of perinatal health and retinopathy of prematurity

The increasing survival of preterm infants has led to the importance of improving long-term outcomes associated with preterm birth. Antenatal and perinatal insults not only impact mortality, but also long-term disability. While in the intensive care nursery, preterm infants are also exposed to various stressors that lead to long-term cognitive deficits. It is therefore critical to identify early, low-stress, non-invasive biomarkers for preterm infant health. Optical coherence tomography (OCT) is a powerful imaging modality that has recently been adapted to the infant population and provides noninvasive, high-resolution, cross-sectional imaging of the infant eye at the bedside with low stress relative to conventional examination. In this review we delve into discussing the associations between preterm systemic health factors and OCT-based retinal findings and their potential contribution to the development of non-invasive biomarkers for infant health and for retinopathy of prematurity (ROP).
Significado de afrontar una interrupción voluntaria del embarazo tardía en mujeres que se realizaron el procedimiento en instituciones de salud de dos ciudades colombianas

RESUMEN Objetivos: El aborto es un derecho en salud sexual y reproductiva de la mujer en Colombia, sin embargo no toda la sociedad colombiana reconoce este derecho. Este trabajo busca comprender la transformación de los significados después de haber afrontado una interrupción voluntaria del embarazo tardía, en mujeres residentes en Colombia, y su interacción con familiares, amigos y sistema de salud. Materiales y métodos: Investigación hermenéutica desde un paradigma constructivista, el análisis se hizo desde una perspectiva feminista con técnicas de la teoría fundamentada: codificación, categorización y comparación constante. Se realizaron 19 entrevistas semiestructuradas a 18 mujeres residentes en Colombia que se sometieron a interrupción voluntaria del embarazo tardía definida por ser una gestación mayor a 20 semanas, acompañada de feticidio e inducción de parto, en dos ciudades colombianas, entre 2016 y 2020. Además, se realizaron dos grupos focales, uno con algunas de las entrevistadas, y otro con feministas expertas para triangular la información emergente del proceso investigativo y profundizar los hallazgos. Resultados: Las mujeres tenían un significado negativo y contrario sobre la interrupción voluntaria del embarazo, pero cuando se encuentran inmersas en una situación que las obliga a terminar con la gestación, contravienen los significados propios y los de su sociedad y buscan justificaciones que les ayuden a mantener la decisión. Esta confrontación las hace reflexionar profunda e íntimamente y las lleva a transformar sus vidas. Conclusiones: Los significados sobre el aborto, en las mujeres que se realizan interrupción voluntaria del embarazo tardía, generalmente son contrarios a este derecho en salud sexual y reproductiva. Posterior al evento estos significados se transforman por medio de la reflexión consciente de las mujeres al tener que enfrentar sus propios significados y los de la sociedad.
Emerging roles of proximal tubular endocytosis in renal fibrosis

Endocytosis is a crucial component of many pathological conditions. The proximal tubules are responsible for reabsorbing the majority of filtered water and glucose, as well as all the proteins filtered through the glomerular barrier via endocytosis, indicating an essential role in kidney diseases. Genetic mutations or acquired insults could affect the proximal tubule endocytosis processes, by disturbing or overstressing the endolysosomal system and subsequently activating different pathways, orchestrating renal fibrosis. This paper will review recent studies on proximal tubular endocytosis affected by other diseases and factors. Endocytosis plays a vital role in the development of renal fibrosis, and renal fibrosis could also, in turn, affect tubular endocytosis.
Dislocation hyperbolic augmented Lagrangian algorithm for nonconvex optimization

The dislocation hyperbolic augmented Lagrangian algorithm (DHALA) solves the nonconvex programming problem considering an update rule for its penalty parameter and considering a condition to ensure the complementarity condition. in this work, we ensure that the sequence generated by DHALA converges to a Karush-KuhnTucker (KKT) point, and we present computational experiments to demonstrate the performance of our proposed algorithm.
Zirconia Dental Implants: A Closer Look at Surface Condition and Intrinsic Composition by SEM-EDX

Modern dental implantology is based on a set of more or less related first-order parameters, such as the implant surface and the intrinsic composition of the material. For decades, implant manufacturers have focused on the research and development of the ideal material combined with an optimal surface finish to ensure the success and durability of their product. However, brands do not always communicate transparently about the nature of the products they market. Thus, this study aims to compare the surface finishes and intrinsic composition of three zirconia implants from three major brands. To do so, cross-sections of the apical part of the implants to be analyzed were made with a micro-cutting machine. Samples of each implant of a 4 to 6 mm thickness were obtained. Each was analyzed by a tactile profilometer and scanning electron microscope (SEM). Compositional measurements were performed by X-ray energy-dispersive spectroscopy (EDS). The findings revealed a significant use of aluminum as a chemical substitute by manufacturers. In addition, some manufacturers do not mention the presence of this element in their implants. However, by addressing these issues and striving to improve transparency and safety standards, manufacturers have the opportunity to provide even more reliable products to patients.
Country of origin and confidence in quality of imported foods in China

Food distribution channel members in the Peoples’ Republic of China have been interviewed regarding the key factors that determine where they source imported food products. Concerns about food safety and mistrust of food production systems within China result in imported food products generally enjoying a higher reputation than locally produced food products, unless the locally produced products carry famous international brands. Little discrimination was evident between different source countries. A high level of importance is placed on brands, the reputation of intermediaries within the channel, and the reputation of retail outlets, but country of origin effects appear confined to specific food categories.