Miracle-dz/UniFAR-FTUs huggingface dataset:
Communication in The Clinical Routine of Neonatologists

Abstract Introduction Communication is essential to clinical routine, especially in NICUs with their vulnerable patients and the special team caring for them. Communication breakdowns and resulting treatment errors are described in the literature. The aim of this study is to provide an initial quantitative assessment of medical communication in a NICU. Methods For task analysis, 15 Level III-NICU physicians were accompanied for 60 days in early and late shifts; each physician completed the COPSOQ questionnaire. Recorded tasks were assigned to main task categories and subcategories. Results A total of 550 h of main and 100 h of secondary tasks were recorded, on average 9 h daily. The most time-consuming main activity was “Communication” (3 h), followed by “Indirect care/Administration” (2 h) and “Direct patient care” (1.5 h). “Communication” mainly consisted of discussions with colleagues and during early shifts. At 2 min, communication with nursing personnel during rounds was especially low. Communication showed a negative correlation to physician job satisfaction. Discussion This work shows the suspected high proportion of communication in a NICU, especially among physicians themselves. The effectiveness of this communication is not assessable. However, a low proportion of communication with nursing staff is noticeable and reflects the variabiliy in team communication. Improvement of communication is necessary through training on and the application of existing techniques for handoffs and rounds.
Genome-Wide Analysis on the Landscape of Transcriptomes and Their Relationship With DNA Methylomes in the Hypothalamus Reveals Genes Related to Sexual Precocity in Jining Gray Goats

The Jining Gray goat is famous for its sexual precocity; however, the exact regulatory mechanism is still unknown. The hypothalamus is the key centrum in the process of animal reproduction, especially in signal transduction, and the initiation of puberty. The identification of potential genes and pathways in the hypothalamus of Jining Gray goat is critical to understanding the regulatory mechanism of sexual precocity in these goats. In this study, mRNA transcriptome analysis of the hypothalamus of juvenile and pubertal goats revealed eight genes (NTS, ADORA1, CRH, UCN3, E2F2, PDGFRB, GNRH1, and CACNA1C) and three pathways [neuroactive ligand-receptor interaction; gonadotropin-releasing hormone (GnRH) signal; melanoma] that are involved in this regulation. Subsequent methylation analysis on differentially methylated region (DMR) genes revealed the potential regulation network that influences pubertal onset. Correlation analysis verified the methylation level of some DMR genes correlates negatively with expression level. Integrated analysis between transcriptomes and methylomes identified 80 candidate genes involved in GnRH and neuroactive ligand signal pathways, of which CACNA1C and CRH were differentially expressed genes (DEGs) influenced by methylation level. The GnRH gene was the only DEG not affected by its methylation level. In summary, in this study, we identified eight genes and three pathways that are related to pubertal onset in Jining Gray goats, and the expression of CACNA1C and CRH genes of the GnRH and neuroactive ligand signal pathways were influenced by DNA methylation, while that of the GnRH gene was not affected.
Multiple Performance Analysis for Nonlinear Networked Control Systems with Limited Channels

In this paper, the problems of QSR-dissipativity, input feed-forward output feedback passivity and finite-gain $\mathcal {L}_{2}$ stability are analyzed for nonlinear networked control systems under limited transmission capacity. To model real networked control systems more precisely, both plant-to-controller and controller-to-plant channels under limited transmission capacity are considered. To decrease the transmission frequency, a novel reference input based triggered control is proposed by taking reference input, quantizer and coder structure into account. To attenuate the negative effect brought by external disturbance and zero-order-hold at the decoder side, coders are creatively designed by involving the reference input at the plant side. An example comparing with the recent literature demonstrates the efficiency and the superiority of our proposed method.
The Antibacterial Effect of Two Cavity Disinfectants against One of Cariogenic Pathogen: An In vitro Comparative Study

Introduction: Bacteria residing in the oral cavity penetrate freely through the resultant fissures under the fillings, which might lead to the development of secondary caries. Nowadays dentistry, different nanotechnological materials with antibacterial activity are being developed for oral cavity disinfection. Aim: This study aims to investigate the antibacterial activity of a new cavity disinfectant NanoCare Plus Silver Gold® (NanoCare) in comparison to (0.2%) chlorhexidine (CHX) gluconate disinfectant against Streptococcus mutans growth and colony count using Agar well diffusion method and contact test, respectively, and also, to assess the nanoparticles (NPs) size distribution and Zeta potential of a NanoCare disinfectant. Materials and Methods: A total of 36 samples of cavity disinfectants were divided into two main groups (G) (n = 18); G1: NanoCare, and G2: CHX. Each group was subdivided into two subgroups (C) (n = 9) according to the antimicrobial test that the samples were subjected to. Results: A chlorohexidine group demonstrated the higher mean inhibition zone values than NanoCare group where P ≤ 0.05, as well both groups had a significant decrease in bacterial colony count where P ≤ 0.001. The particles size distribution in NanoCare sample was found that 99% of particles number with an average size of 29.07 nm and 1% was 136.7 nm, while the Zeta potential value was −6.5 mV. Conclusions: NanoCare cavity disinfectant displayed good antibacterial property against S. mutans. The innovative incorporation of NPs into this cavity disinfectant could be used to improve the antimicrobial capacity of the material and help to decrease secondary caries risk.
Symbol-Level and Multicast Precoding for Multiuser Multiantenna Downlink: A State-of-the-Art, Classification, and Challenges

Precoding has been conventionally considered as an effective means of mitigating or exploiting the interference in the multiantenna downlink channel, where multiple users are simultaneously served with independent information over the same channel resources. The early works in this area were focused on transmitting an individual information stream to each user by constructing weighted linear combinations of symbol blocks (codewords). However, more recent works have moved beyond this traditional view by: 1) transmitting distinct data streams to groups of users and 2) applying precoding on a symbol-per-symbol basis. In this context, the current survey presents a unified view and classification of precoding techniques with respect to two main axes: 1) the switching rate of the precoding weights, leading to the classes of block-level and symbol-level precoding and 2) the number of users that each stream is addressed to, hence unicast, multicast, and broadcast precoding. Furthermore, the classified techniques are compared through representative numerical results to demonstrate their relative performance and uncover fundamental insights. Finally, a list of open theoretical problems and practical challenges are presented to inspire further research in this area1.1The concepts of precoding and beamforming are used interchangeably throughout this paper.
High Speed Digital Distance Relaying Scheme Using FPGA and IEC 61850

Full-cycle Fourier and cosine phasor filtering systems are typical implementations of numerical distance relays with a response time of close to one cycle. Fast subcycle numerical distance elements are useful, especially for extra high voltage/UHV transmission systems (400 kV and above). Fast subcycle numerical relaying methods such as half-cycle Fourier method, phaselets, least error squares, traveling wave, and wavelet based methods have been proposed in the literature. In this paper, first improvements to the phaselet-based distance relaying method are proposed by taking the magnitude errors and the phase angle errors into account. An adaptive Mho characteristic based on the phasor estimation errors is used to achieve a fast and secure trip decision. The quality of the estimated values in time domain is analyzed mathematically using a transient monitoring index. Second, the scheme is implemented on a field programmable gate arrays (FPGAs) board, which provides fast computation speeds due to its powerful parallel processing units. The proposed relay is tested using hardware-in-the-loop simulations and a real time digital simulator. Third, the Ethernet-based protocols (IEC 61850 sampled value and generic object oriented substation events protocols) are implemented on the FPGA and used to verify the performance of the proposed relay in digital substation environments.
A novel panel of short mononucleotide repeats linked to informative polymorphisms enabling effective high volume low cost discrimination between mismatch repair deficient and proficient tumours

Somatic mutations in mononucleotide repeats are commonly used to assess the mismatch repair status of tumours. Current tests focus on repeats with a length above 15bp, which tend to be somatically more unstable than shorter ones. These longer repeats also have a substantially higher PCR error rate and tests that use capillary electrophoresis for fragment size analysis often require expert interpretation. In this communication, we present a panel of 17 short repeats (length 7–12bp) for sequence-based microsatellite instability (MSI) testing. Using a simple scoring procedure that incorporates the allelic distribution of the mutant repeats, and analysis of two cohort of tumours totalling 209 samples, we show that this panel is able to discriminate between MMR proficient and deficient tumours, even when constitutional DNA is not available. In the training cohort, the method achieved 100% concordance with fragment analysis, while in the testing cohort, 4 discordant samples were observed (corresponding to 97% concordance). Of these, 2 showed discrepancies between fragment analysis and immunohistochemistry and one was reclassified after re-testing using fragment analysis. These results indicate that our approach offers the option of a reliable, scalable routine test for MSI.
Towards Measuring Happiness in Saudi Arabia based on Tweets: A research proposal

Social media platforms such as Twitter, Facebook and Blogs are growing enormously in terms of the number of users. Due to the rapid growth of the data produced from social media users, these platforms are becoming one of the most valuable data sources. Social media became outlets for people to express their thoughts, opinions, and emotions in a real-time manner. Therefore, Social media data have been utilized in literature for many sentiment analysis research. Although there have been many types of research on the sentimental analysis in English, the amount of Arabic-based sentiment analysis studies and tools are still limited. In this paper, we reviewed selected literature related to sentiment analysis in order to present a staged road map of Arabic tweets sentiment analysis in favor of measuring the happiness levels in Saudi Arabia cities. We reported the methodology to numerically represent the happiness of each city by determining the sentiment of 2000 geo-tagged tweets in Saudi Arabia using machine learning techniques. Expected results would not only rank the happiness levels for the cities in Saudi Arabia but certainly identify activities or circumstances that contribute to citizens' happiness. These expected results later can be used by institutions of related interest such as General Entertainment Authority to help planning new activities and attractions.
Linguistic Knowledge-Aware Neural Machine Translation

Recently, researchers have shown an increasing interest in incorporating linguistic knowledge into neural machine translation (NMT). To this end, previous works choose either to alter the architecture of NMT encoder to incorporate syntactic information into the translation model, or to generalize the embedding layer of the encoder to encode additional linguistic features. The former approach mainly focuses on injecting the syntactic structure of the source sentence into the encoding process, leading to a complicated model that lacks the flexibility to incorporate other types of knowledge. The latter extends word embeddings by considering additional linguistic knowledge as features to enrich the word representation. It thus does not explicitly balance the contribution from word embeddings and the contribution from additional linguistic knowledge. To address these limitations, this paper proposes a knowledge-aware NMT approach that models additional linguistic features in parallel to the word feature. The core idea is that we propose modeling a series of linguistic features at the word level (knowledge block) using a recurrent neural network (RNN). And in sentence level, those word-corresponding feature blocks are further encoded using a RNN encoder. In decoding, we propose a knowledge gate and an attention gate to dynamically control the proportions of information contributing to the generation of target words from different sources. Extensive experiments show that our approach is capable of better accounting for importance of additional linguistic, and we observe significant improvements from 1.0 to 2.3 BLEU points on Chinese$\leftrightarrow$ English and English$\rightarrow$German translation tasks.
SİVİL TOPLUM ÖRGÜTLERİNİN SOSYAL MEDYA KULLANIMLARI: GREENPEACE TÜRKİYE FACEBOOK SAYFASI ÖRNEĞİ

Sosyal medya, toplumsal yasamda giderek daha buyuk bir yer edinirken markalar ve sivil toplum orgutleri icin de onem tasimaya baslamistir. Hem markalar hem de sivil toplum orgutleri sosyal medyayi halkla iliskiler amacli olarak kullanmaktadir. Bununla birlikte sosyal medya, kamusal alan olarak ele alinmakta ve sivil toplum orgutleri sosyal medyayi dijital eylemcilik cercevesinde de kullanmaktadir. Bu calismada, sivil toplum orgutlerinin sosyal medya kullanimi Facebook ozelinde ele alinmistir. Calismanin amaci; sivil toplum orgutlerinin stratejik iletisim cercevesinde sosyal medya kullanimini belirlemektir. Bu amac ile Greenpeace Turkiye Facebook sayfasi ornek olay incelemesi olarak ele alinmis ve bu sayfada yer alan icerik, nicel arastirma yontemlerinden olan icerik analizi teknigi ile analiz edilmistir. Arastirma sonucunda Greenpeace Turkiye’nin en cok “Kuzey Kutbu”, en az ise “Ormanlar” konularinda icerik urettigi; yillara gore bakildiginda ise en cok icerigin 2013, en az icerigin ise 2009’da uretildigi saptanmistir. Icerik turleri acisindan bakildiginda ise sayfada en cok fotograf icerigine yer verilmektedir. Kullanici etkilesimleri soz konusu oldugunda en cok “Kuzey Kutbu”, en az “Moda Detoksu” konulari ile etkilesim kurmaktadirlar. Kullanicilar en cok “begeni” turunde etkilesim gerceklestirmektedirler. Greenpeace Turkiye Facebook sayfasinda sosyal medyanin katilim, aciklik, diyalog, topluluk ve baglanabilirlik ozelliklerinden yararlanilmaktadir.
How Is Learning Motivation Shaped Under Different Contexts: An Ethnographic Study in the Changes of Adult Learner’s Motivational Beliefs and Behaviors Within a Foreign Language Course

There has been a burgeoning interest of students’ motivational beliefs in determining their motivational behaviors in classroom activities: choice of task and persistence of task. Previous research mostly used quantitative methods to understand students’ general motivation, without taking contextual factors into consideration. To fill in this gap, the present study examined the influence of changing contexts on students’ motivational beliefs in a Chinese language classroom, and how those changes in motivational beliefs shaped their motivational behaviors in class activities. An ethnographic multiple-case study approach was adopted, and six adult learners were chosen from a Chinese language course in a Hong Kong university. On-going semi-structured interviews, class observations, stimulated recall and document reviews were conducted to understand student development across time. Findings show that the more proficient students were showing relatively stable motivational beliefs as well as behaviors throughout the foreign language course. In contrast, the less proficient students were demonstrating obvious changes in their motivational beliefs and hence behaviors, due to the different contexts of non-exam and high-stake exam. The study suggested students’ learning motivation in class was context-dependent, and could fluctuate substantially on a weekly basis. Those dynamic within-course changes at different learning stages and the reasons shaping the changes could give pedagogical insights to the teacher with adult learners.
Fall prevention knowledge and practice patterns among home healthcare professionals in southern Saudi Arabia: an observational study

Abstract Objectives To determine the knowledge of falls risk factors among home healthcare (HHC) professionals and the practice patterns of HHC professionals regarding falls prevention. Methods A modified version of a survey designed and validated for use in home healthcare settings was distributed to HHC professionals for self-completion. Responses were collected and analysed using descriptive methods. Results Out of 80 surveys distributed to 23 HHC centres, 52 returned surveys were included for analyses (completed by physicians, physical therapists [PTs] and nurses). In terms of practice patterns, 82.7% of participants always asked older adults if they have a history of falls, 81% always identified falls risk factors, 73% documented risk factors for falling and 71% always provided interventions to address falls risk factors. Environmental hazards were the most common risk factor identified by HHC professionals. Approximately one quarter of nurses felt they had little knowledge of falls risk factors. Conclusion Over 70% of HHC professionals acknowledged the importance of falls, and over 80% of participants displayed knowledge of falls prevention factors. As HHC professionals most likely to encounter patients requiring intervention for falls prevention, physical therapists may benefit from training programmes to help identify important falls risk factors.
Embedded Emotion Recognition System Based on Electrocardiogram Attributes

Investigated research proved the relevance of the analysis of physiological signals to detect human emotional states. This paper presents an embedded emotion recognition system based on electrocardiogram attributes. We applied the Support Vector Machine (SVM) with a subject independent classification and we implemented the whole proposed system on the Raspberry Pi 3 model B. This System can be easily mounted on robots for an affective Human-Machine interactivity. Thus, we explored the multimodal MAHNOB-HCI database for the two-class problem discrimination in the Arousal-Valence space. After using the ten cross-validations and testing several SVM’ kernels, the average classification rates were 57.01% and 54.07% for arousal and valence, respectively.
Comparison of Bacterial Contamination and Antibacterial Efficacy in Bristles of Charcoal Toothbrushes versus Noncharcoal Toothbrushes: A Microbiological Study

Background: Charcoal toothbrushes have been marketed widely claiming lesser bacterial contamination owing to the presence of activated charcoal. Aim and Objective: The aim of this study was to evaluate the bacterial contamination and antimicrobial efficacy of charcoal bristles compared to noncharcoal bristles in used toothbrushes. Materials and Methods: A total of 50 patients met inclusion criteria which were given standard brushing instructions on the use of a charcoal toothbrush and were asked to return the used brushes after 1 week of usage. After a washout period of 1-week, the participants were then provided with noncharcoal toothbrush and given similar brushing instructions to both groups and were instructed to return the brush after another week of usage. Bristles of the used toothbrushes were sectioned and placed in a 5 ml of saline, and 0.1 ml was inoculated on blood agar plates, which were then placed in a gas pack jar for anaerobic culture. Colony forming units (CFU) were measured after 48 h of incubation. To evaluate the antibacterial efficacy of charcoal bristles, the zone of inhibition was evaluated for charcoal versus noncharcoal after 24 h of incubation. Data collected were analyzed using a paired sample t-test. Results: The mean CFU count for noncharcoal bristles was almost double that of charcoal bristles. About 10 mm of the zone of inhibition was found around charcoal bristles as compared to 3 mm for noncharcoal bristles. Conclusion: This study shows the statistically significant difference in bacterial counts between bristle types and lower CFUs in the charcoal bristles compared with noncharcoal bristles, after 1 week of use. The zone of inhibition that was found around charcoal tooth bristles supported the antimicrobial properties of the charcoal toothbrush.
Enabling Visual Design Verification Analytics - From Prototype Visualizations to an Analytics Tool using the Unity Game Engine

The ever-increasing architectural complexity in contemporary ASIC projects turns Design Verification (DV) into a highly advanced endeavor. Pressing needs for short time-to-market has made automation a key solution in DV. However, recurring execution of large regression suites inevitably leads to challenging amounts of test results. Following the design science paradigm, we present an action research study to introduce visual analytics in a commercial ASIC project. We develop a cityscape visualization tool using the game engine Unity. Initial evaluations are promising, suggesting that the tool offers a novel approach to identify error-prone parts of the design, as well as coverage holes.
Genetic and environmental influences on disinhibition, boldness, and meanness as assessed by the triarchic psychopathy measure in 19–20-year-old twins

Abstract Background The Triarchic Psychopathy Measure (TriPM) provides Disinhibition, Boldness, and Meanness scales for assessing the three trait domains of the triarchic model. Here we examined the genetic and environmental etiology of these three domains, including evaluation of potential sex differences. Methods A total of 1016 men and women ages 19–20 years were drawn from the University of Southern California Risk Factors for Antisocial Behavior twin study. Results Scores for the three TriPM scales were correlated to differing degrees, with the strongest phenotypic correlation between Disinhibition and Meanness. No sex differences were found in the genetic and environmental influences underlying these three domains, suggesting that the same genes and life experiences contribute to these traits in young men and women. For TriPM Disinhibition and Boldness, genetic factors explained about half or less of the variance, with the rest of the variance being explained by non-shared environmental factors. For TriPM Meanness, on the other hand, genetic, shared environmental, and non-shared environmental factors accounted for the variance. The phenotypic correlation between Disinhibition and Meanness was explained in part by common genes (26%), with the remainder attributable about equally to common shared (39%), and non-shared environmental influences (35%). Conclusions These findings contribute to our understanding of psychopathic personality traits by demonstrating the importance of heritable factors for disinhibition and boldness facets of psychopathy, and the importance of shared environmental influences for the meanness facet.