Miracle-dz/UniFAR-FTUs huggingface dataset:
Synthesis of Chitosan-Based Gold Nanoparticles: Antimicrobial and Wound-Healing Activities

The global spread of multidrug-resistant bacteria has become a significant hazard to public health, and more effective antibacterial agents are required. Therefore, this study describes the preparation, characterization, and evaluation of gold nanoparticles modified with chitosan (Chi/AuNPs) as a reducing and stabilizing agent with efficient antimicrobial effects. In recent years, the development of an efficient and ecofriendly method for synthesizing metal nanoparticles has attracted a lot of interest in the field of nanotechnology. Colloidal gold nanoparticles (AuNPs) were prepared by the chemical reduction of gold ions in the presence of chitosan (Chi), giving Chi/AuNPs. The characterization of Chi/AuNPs was carried out by transmission electron microscopy (TEM), scanning electron microscopy (SEM), Fourier-transform infrared (FTIR), and X-ray diffraction (XRD). Chi/AuNPs appeared spherical and monodispersed, with a diameter ranging between 20 to 120 nm. The synergistic effects of AuNPs and Chi led to the disruption of bacterial membranes. The maximum inhibitory impact was seen against P. aeruginosa at 500 µg/mL, with a zone of inhibition diameter of 26 ± 1.8 mm, whereas the least inhibitory effect was reported for S. aureus, with a zone of inhibition diameter of 16 ± 2.1 mm at the highest dose tested. Moreover, Chi/AuNPs exhibited antifungal activity toward Candida albicans when the MIC was 62.5 µg/mL. Cell viability and proliferation of the developed nanocomposite were evaluated using a sulphorhodamine B (SRB) assay with a half inhibitory concentration (IC50) of 111.1 µg/mL. Moreover, the in vitro wound-healing model revealed that the Chi/AuNP dressing provides a relatively rapid and efficacious wound-healing ability, making the obtained nanocomposite a promising candidate for the development of improved bandage materials.
The Effectiveness of Mobile Phone-Based Text Messaging to Intervene with Problem Drinking in Youth and Younger Adult Population: A Meta-Analysis.

BACKGROUND Mobile phone-based text messages have been used to address alcohol use disorder in younger populations by promoting abstinence, decreased alcohol intake, and moderation. METHODS A meta-analysis was conducted to summarize the effectiveness of mobile phone text messaging to address problem drinking by youth and younger adults. RESULTS Authors systematically searched PubMed, Embase, CINAHL, Web of Science, APA PsycNET, and the Cochrane Central Registry of Controlled Trials for literature published in the past 8 years (2010-2018). Randomized control trials and pre-post studies of younger people that used the problem drinking criteria of the National Institute on Alcohol Abuse and Alcoholism (NIAAA) were included in the meta-analysis. CONCLUSIONS The meta-analysis suggests that text message-based interventions might not be effective in decreasing alcohol intake in the younger populations.
Associations between lower back pain and job types in South Korean male firefighters

This study aimed to compare prevalence of lower back pain (LBP) in firefighters according to job type and to identify the risk factors for LBP. A random sample of 297 male firefighters and 77 hospital office workers completed questionnaires and underwent lumbar spine magnetic resonance imaging. Prevalence of LBP in firefighters (85.1%) was higher than in controls (54.5%). Odds ratio (OR) of LBP in severe insomnia (3.84, 95% confidence interval [CI] [1.17, 12.06]) was statistically higher than for LBP without insomnia. OR of LBP in herniated lumbar disc 4–5 (1.86, 95% CI [1.03, 3.35]) was statistically higher than for LBP without lumbar disc herniation. ORs of LBP in emergency medical service (2.57, 95% CI [1.20, 5.58]) and rescue (3.69, 95% CI [1.37, 9.94]) workers were statistically higher than in controls. LBP is more prevalent in firefighters than in controls and affected by insomnia, lumbar disc herniation and job type.
New Beginnings: An Interactionist and Constructivist Approach to Early Moral Development

Orientations toward harming and helping others are central to morality. These orientations undergo major transformations in early life. This paper proposes an interactionist and constructivist approach to early moral development and discusses how children construct orientations toward harming and helping through everyday social interactions. A major developmental acquisition – typically evident by age 3 – is the ability to make judgments of right and wrong based on concerns with others’ welfare. The paper concludes by outlining issues for future research on the development of morality from infancy to childhood.
In situ tissue classification during laser ablation using acoustic signals

We suggest a novel method to classify the type of tissue that is being ablated, using the recorded acoustic sound waves during pulsed ultraviolet laser ablation. The motivation of the current research is tissue classification during vascular interventions, where the identification of the ablated tissue is vital. We classify the acoustic signatures using Mel‐frequency cepstral coefficients (MFCCs) feature extraction with a Support Vector Machine (SVM) algorithm, and in addition, use a fully connected deep neural network (FC‐DNN) algorithm. First, we classify three different liquids using our method as a preliminary proof of concept. Then, we classify ex vivo porcine aorta and bovine tendon tissues in the presence of saline. Finally, we classify ex vivo porcine aorta and bovine tendon tissues where the acoustic signals are recorded through chicken breast medium. The results for tissue classification in saline and through chicken breast both show high accuracy (>98%), based on tens of thousands of acoustic signals for each experiment. The experiments were conducted in a noisy and challenging setting that tries to imitate practical working conditions. The obtained results could pave the way towards practical tissue classification in various important medical procedures, achieving enhanced efficacy and safety.
Key Frame Extraction of Assembly Process Based on Deep Learning

In order to quickly find the useful information from a long assembly video, two methods of key frame extraction of assembly process are proposed based on Convolution Neural Network (CNN) and Recurrent Neural Network (RNN). Using the self-made data set which represents the assembly process as the training set. During the training process, the weights and bias are continuously adjusted through the back propagation algorithm of supervised learning. Consequently, a neural network model with high accuracy is obtained, which realizes the key frame extraction of assembly process. Experimental results show that the identification accuracy for different data sets can reach more than 88 %. Therefore, the method has a good accuracy as well as generality.
“I’m scared”: Journaling Uncovers Student Perceptions Prior to a Psychiatric Clinical Rotation

BACKGROUND: The United States is experiencing a shortage of mental health practitioners. A growing body of evidence shows that nursing students state that mental health is among the least desirable specialties, citing anxiety as a prominent factor. This study builds on existing knowledge and seeks to understand undergraduate nursing students’ goals and perceptions about mental health prior to a mental health course utilizing a semistructured clinical journal. AIMS: To explore undergraduate nursing students’ goals and perceptions in order to develop strategies that may positively influence students’ thoughts about mental health nursing. METHOD: Utilizing qualitative methodology, students’ journal entries (n = 90) were coded into keywords by frequency, forming the basis of themes in this study. RESULTS: Analysis found that nursing students are primarily concerned with their ability to communicate effectively with mental health patients, leading to fears about the upcoming mental health practicum. Although not prompted, students also discussed various stigmas surrounding mental health patients and disorders. CONCLUSION: Students enter the mental health course and practicum with a variety of preconceptions. Nurse educators play a central role in identifying and developing psychoeducational strategies to address student concerns and increase students’ interest in mental health nursing.
The roots of the taxonomic impediment: Is the 'integrativeness' a remedy?

The use of the 'integrative approach' to classification of organisms since its formal establishing in 2005 has became a recurrent theme of zoosystematics. A bibliometric survey of the publications on integrative taxonomy of animals, which is aimed at exploring the most popular areas of research and characterizing the practical systematists' attitudes to this new approach, is presented. An analysis of 582 papers, appeared between 2005 and 2017 in journals indexed by Scopus and Web of Science Core Collection, has illustrated the gradual growth of popularity of the integrative taxonomy as well as some biases in representation of higher taxa in 'integrated' studies. It has been shown that the 'integrative' papers have more chances to appear in a top-ranking journal and gain relatively more citations as compared with non-integrative ones. The obtained results are discussed in a context of the 'taxonomic impediment' problem thought to be a consequence of the institutional crisis of traditional taxonomy, which is vividly debated during last decades. This article is protected by copyright. All rights reserved.
On the Development of an Efficient Surrogate Model for Predicting Long-Term Extreme Loads on a Wave Energy Converter

Accurate prediction of long-term extreme loads is essential for the design of wave energy converters (WECs), but it is also computationally demanding due to the low probabilities associated with their occurrence. Although a full long-term probabilistic analysis using integration over all sea states or Monte Carlo simulation (MCS) may be used, these methods can be prohibitively expensive when individual response simulations are complex and time-consuming. The application of polynomial chaos expansion (PCE) schemes to allow the propagation of uncertainty from the environment through the stochastic sea surface elevation process and ultimately to WEC extreme load response prediction is the focus in this study. A novel approach that recognizes the role of long-term ocean climate uncertainty (in sea state variables such as significant wave height and spectral peak period) as well as short-term response uncertainty arising from the unique random phasing in irregular wave trains is presented and applied to a single-body point-absorber WEC device model. Stochastic simulation results in time series realizations of various response processes for the case-study WEC. We employ environmental data from a possible deployment site in Northern California (NDBC 46022) to assess long-term loads. MCS computations are also performed and represent the “truth” system against which the efficiency and accuracy of the PCE surrogate model are assessed. Results suggest that the PCE approach requires significantly less effort to obtain comparable estimates to MCS.
The Relationship Between Exposure to Violence in the Family of Origin During Childhood, Psychological Distress, and Perpetrating Violence in Intimate Relationships Among Male University Students

Witnessing or experiencing violence early in childhood is a significant risk factor for later perpetration of intimate partner violence (IPV) by men against women. Despite a large body of research on the topic, there is a need for more specific information about how differing patterns of family violence might pose distinct risks of later mental health problems and violence perpetration. Using a self-administered questionnaire, a cross-sectional survey was conducted among 745 male university students in Israel (age = 21-43, M = 25.56, SD = 3.172) to examine the effects of their exposure to family violence (i.e., parent-to-child psychological aggression [PA] and physical violence [PV] and witnessing interparental PA and PV) on their use of IPV. This study also examined whether psychological distress mediates the relationship between family violence exposure (witnessing or experiencing) and later IPV perpetration. Results indicate that experiencing PA and PV in childhood and current psychological distress predict significantly current IPV perpetration. Results also revealed that psychological distress mediates only the relations between participants experiencing parental violence and their PA against intimate partners. However, results showed that higher rates of participants witnessing interparental violence correlate significantly with lower rates of their PV against intimate partners; this relationship was not mediated by their psychological distress. It was also found that experiencing parental violence has significant direct and indirect positive effect on participants’ PV against intimate partners. The limitations of the study and the implications of its results are discussed.
Virtual Keyboard Based on MEMS Sensor Network and Fusion of Accelerometer and Gyroscope

The paper reports a novel technique in the field of human-computer interaction based on MEMS Inertial Measurement Unit (IMU). It enables inputting the characters by using four wearable sensors without the actual physical contact with a keyboard. In this paper, a virtual keyboard scheme is presented and the keystrokes are recognized through fusion data of accelerometer and gyroscope. We developed the sensor network using four MEMS sensors (MPU6050)and a microcontroller (STM32F103). The attitude angle of each finger during the keystroke are calculated from the data fusion using the angle compliment filter algorithm. And then, the different keystrokes are recognized based on the attitude angle of fingers. Finally, the Support Vector Machine (SVM)algorithm was adopt for recognizing the keystrokes, and the finial recognition correct rate can achieve 95.07%. Index Terms-Wearable Sensor, Inertial Measurement Unit, keystroke recognition, Virtual Keyboard
Implementation of a Quality Index for Improvement of Quantification of Corneal Nerves in Corneal Confocal Microcopy Images: A Multicenter Study.

PURPOSE Corneal confocal microscopy (CCM) is an imaging method to detect loss of nerve fibers in the cornea. The impact of image quality on the CCM parameters has not been investigated. We developed a quality index (QI) with 3 stages for CCM images and compared the influence of the image quality on the quantification of corneal nerve parameters using 2 modes of analysis in healthy volunteers and patients with known peripheral neuropathy. METHODS Images of 75 participants were a posteriori analyzed, including 25 each in 3 image quality groups (QI 1-QI 3). Corneal nerve fiber length (CNFL) was analyzed using automated and semiautomated software, and corneal nerve fiber density and corneal nerve branch density were quantified using automated image analysis. Three masked raters assessed CCM image quality (QI) independently and categorized images into groups QI 1-QI 3. In addition, statistical analysis was used to compare interrater reliability. Analysis of variance was used for analysis between the groups. Interrater reliability analysis between the image ratings was performed by calculating Fleiss' kappa and its 95% confidence interval. RESULTS CNFL, corneal nerve fiber density, and corneal nerve branch density increased significantly with QI (P < 0.001, all post hoc tests P < 0.05). CNFL was higher using semiautomated compared with automated nerve analysis, independent of QI. Fleiss kappa coefficient for interrater reliability of QI was 0.72. CONCLUSIONS The quantification of corneal nerve parameters depends on image quality, and poorer quality images are associated with lower values for corneal nerve parameters. We propose the QI as a tool to reduce variability in quantification of corneal nerve parameters.
Exudate Extraction from Fundus Images

Diabetic Retinopathy is one of the medical conditions that a person suffering from Diabetes Mellitus may encounter. One of the major symptoms of this disorder is the presence of exudates in the retinal area of the eyes. In order to prevent blindness due to exudates, it becomes mandatory to cure them, and prevent their further accumulation. In recent years, research to automate diagnosis of this disease to assist the doctors for faster treatments is gaining importance. This paper reveals one such approach of extracting exudates from fundus images. The algorithm has been developed on MATLAB using Image Processing Toolbox. An accuracy of 81.6% was obtained for the novel approach explored in this paper.
A secondary analysis of data from the OPTICARE randomized controlled trial investigating the effects of extended cardiac rehabilitation on functional capacity, fatigue, and participation in society

Objective: In this secondary analysis of data from the OPTICARE trial, we compared the effects of two behavioral interventions integrated into cardiac rehabilitation to standard rehabilitation with regard to functional capacity, fatigue, and participation in society. Design: This is a randomized controlled trial. Setting: This study was conducted in a cardiac rehabilitation setting. Subjects: A total of 740 patients with acute coronary syndrome were recruited for this study. Interventions: Patients were randomized to (1) three months of standard rehabilitation; (2) cardiac rehabilitation plus nine months after-care with face-to-face group lifestyle counseling; or (3) cardiac rehabilitation plus nine months after-care with individual lifestyle telephone counseling. Main measures: Functional capacity (6-minute walk test), fatigue (Fatigue Severity Scale), and participation in society (Utrecht Scale for Evaluation of Rehabilitation-Participation) were measured at randomization, 3, 12, and 18 months. Results: Additional face-to-face sessions resulted at 12 months in 12.49 m more on the 6-minute walk test compared to standard rehabilitation (P = .041). This difference was no longer present at 18 months. Prevalence of fatigue decreased from 30.2% at baseline to 11.9% at 18 months compared to an improvement from 37.3% to 24.9% after standard rehabilitation (between-group difference: odds ratio = 0.47; P = .010). The additional improvements in functional capacity seemed to be mediated by increases in daily physical activity. No mediating effects were found for fatigue. No additional improvements were seen for participation in society. Additional telephonic sessions did not result in additional intervention effects. Conclusion: Extending cardiac rehabilitation with a face-to-face behavioral intervention resulted in additional long-term improvements in fatigue and small improvements in functional capacity up to 12 months. A telephonic behavioral intervention provided no additional benefits.
Effectiveness of a multi-faceted intervention among elementary school children

Abstract Childhood obesity has been shown to be closely related to future obesity and comorbidities. As its prevalence and impact has increased significantly worldwide, researchers have focused on prevention and intervention. This study assessed a multifaceted intervention for elementary school children. A retrospective data collection with a cohort analysis was employed. A 16-week school-based intervention with nutritional intervention, physical activity, and behavioral education was designed and conducted by a multidisciplinary team for 1860 children aged 6 to 13 years. Basic information, anthropometrics, and physical fitness (PF) were recorded before and after the intervention. The differences compared with a reference group, and compared between subgroups, were analyzed. Significant favorable changes in body weight and composition were found. Children's height, weight, and muscle weight increased, whereas BMI, BMI z-score (zBMI), waist circumference, hip circumference, waist-hip ratio, waist-height ratio, body fat percentage, and visceral fat area decreased. Sit-ups and 800-m run time significantly improved. Girls exhibited a greater reduction in body weight outcomes; boys improved more in body composition and PF. Students with higher zBMI had a greater reduction in all anthropometrics; students with lower zBMI showed greater PF improvement, except for the 800-m run. The intervention improved weight measures, body composition, and PF. Subgroup differences suggested the need for sex- and weight-specific interventions.
New Framework for Optimal Current Sharing of Nonidentical Parallel Buck Converters

In this brief, parallel interconnection of buck (step-down) converters is considered. Classical control of such a topology uniformly distributes load current over branches. Yet, whenever nonidentical converters (having distinct characteristics) are considered, this brief demonstrates, both theoretically and experimentally, that minimizing overall losses requires nonuniform and even load-depend current distribution. In this context, a novel highly modular hierarchical control framework is proposed for arbitrary number of buck converters. Solutions for the two related design steps are given, which lead to a control law minimizing total losses as well as correcting voltage deviation for any operating point and without knowledge about load magnitude. Experimental results support our discussions.
A Comparison of Three Different Bioinformatics Analyses of the 16S–23S rRNA Encoding Region for Bacterial Identification

Rapid and reliable identification of bacterial pathogens directly from patient samples is required for optimizing antimicrobial therapy. Although Sanger sequencing of the 16S ribosomal RNA (rRNA) gene is used as a molecular method, species identification and discrimination is not always achievable for bacteria as their 16S rRNA genes have sometimes high sequence homology. Recently, next generation sequencing (NGS) of the 16S–23S rRNA encoding region has been proposed for reliable identification of pathogens directly from patient samples. However, data analysis is laborious and time-consuming and a database for the complete 16S–23S rRNA encoding region is not available. Therefore, a better, faster, and stronger approach is needed for NGS data analysis of the 16S–23S rRNA encoding region. We compared speed and diagnostic accuracy of different data analysis approaches: de novo assembly followed by Basic Local Alignment Search Tool (BLAST), operational taxonomic unit (OTU) clustering, or mapping using an in-house developed 16S–23S rRNA encoding region database for the identification of bacterial species. De novo assembly followed by BLAST using the in-house database was superior to the other methods, resulting in the shortest turnaround time (2 h and 5 min), approximately 2 h less than OTU clustering and 4.5 h less than mapping, and a sensitivity of 80%. Mapping was the slowest and most laborious data analysis approach with a sensitivity of 60%, whereas OTU clustering was the least laborious approach with 70% sensitivity. Although the in-house database requires more sequence entries to improve the sensitivity, the combination of de novo assembly and BLAST currently appears to be the optimal approach for data analysis.