Miracle-dz/UniFAR-FTUs huggingface dataset:
Voice enactment: linking voice with experience in high reliability organizing

ABSTRACT Current high reliability organization theorizing explains how members manage equivocality stemming from emergent environments and organizational complexities, but it does little to explain how members navigate equivocality that arises when communicating with others. This study reveals that equivocal interactions provide opportunities for members to build experience through voice enactment. Departing from conceptualizations of voicing as an individual discretionary decision, this study proposes that voicing involves enacting knowledge and positioning – activities that contribute to building experience. Findings from in-depth interviews with N = 37 wildland firefighters illustrate the importance of certain kinds of communicative moments in building experience with navigating interactional equivocality. Enacting voice involved performing scripted practices, complementary relationships, and positioning. Voice enactments can be pivotal experiences for members to learn how engage in precarious, sometimes face-threatening repartee. Practical recommendations center on making individual and group reflective practices more attentive to ways voice performs relationships and positioning.
Simultaneous estimation for semi-parametric multi-index models

ABSTRACT Estimation of a general multi-index model comprises determining the number of linear combinations of predictors (structural dimension) that are related to the response, estimating the loadings of each index vector, selecting the active predictors and estimating the underlying link function. These objectives are often achieved sequentially at different stages of the estimation process. In this study, we propose a unified estimation approach under a semi-parametric model framework to attain these estimation goals simultaneously. The proposed estimation method is more efficient and stable than many existing methods where the estimation error in the structural dimension may propagate to the estimation of the index vectors and variable selection stages. A detailed algorithm is provided to implement the proposed method. Comprehensive simulations and a real data analysis illustrate the effectiveness of the proposed method.
Offensive language without offensive words (OLWOW)

In our contribution, we have applied stance analysis in order to identify offensive discourse. This gives us access to the pros and cons of the writer of some tweets and reveals his/her role framing of the discourse referents. We also semi-automatically augmented our polarity lexicon with a new type of polarity labels, namely P for profan-ity. Starting from seed words, we derived new entries on the basis of word embed-dings. Our approach also focuses on of-fensive language without offensive words (OLWOW) and discusses strategies to cope with it.
Persistent memories of long-term potentiation and the N-methyl-d-aspartate receptor

In this article, we describe our involvement in the early days of research into long-term potentiation. We start with a description of the early experiments conducted in Oslo and London where long-term potentiation was first characterised. We discuss the ways in which the molecular pharmacology of glutamate receptors control the induction and expression of long-term potentiation and its counterpart, long-term depression. We then go on to summarise the extraordinary advances in understanding the cellular mechanisms of synaptic plasticity that have taken place in the subsequent half century. Finally, the increasing evidence that impaired long-term potentiation is a core feature of many brain disorders (LToPathies) is addressed by way of a few selected examples.
Outing representation: lesbian, gay, bisexual, trans and queer politicians’ narratives

In recent years, more out-of-the-closet lesbian, gay, bisexual, trans and queer individuals have entered parliaments. Their visibility raises the question of how they imagine that their non-heteronormative sexuality interferes with their mandate of political representation. Based on interviews with 20 out of the 25 openly lesbian, gay and bisexual legislators in Canada in 2017, this article shows that they do imagine numerous ways in which being out of the closet empowers their role of representation. Without a doubt, being proudly visible is an asset for lesbian, gay and bisexual legislators.
DNA barcoding of fishes from Lake Lanao, Philippines

Abstract Lake Lanao, the second largest lake in the Philippines and one of the 15 ancient lakes in the world, used to contain 20 endemic cyprinid species, which had attracted the attention of evolutionary biologists in the past. Over the years, there has been a steady decline in the abundance and diversity of endemic fishes in the lake because of overfishing and introduction of non-native species. This study represents the first molecular survey of the ichthyofauna of Lake Lanao. A total of 75 specimens of 12 different species belonging to nine genera, eight families, and five orders were DNA barcoded using the mitochondrial cytochrome c oxidase subunit I (COI) gene. Average Kimura 2-parameter genetic distances were 0.24% (within species), 8.31% (between species), 9.69% (within family), and 24.86% (between families). Possible hybrids between Oreochromis species were detected. Glossogobius spp. was highlighted for further taxonomic investigation because barcoding indicated unidentified species of this genus. The partial sequence of mitochondrial COI gene was found to be a good DNA barcode for fast and accurate species identification of fishes in Lake Lanao and for tagging species that warrant further taxonomic investigation.
Group B rotavirus encodes a functional fusion-associated small transmembrane (FAST) protein

Rotavirus is an important cause of diarrheal disease in young mammals. Group A rotavirus (RVA) causes most human rotavirus diarrheal disease and primarily affects infants and young children. Group B rotavirus (RVB) has been associated with sporadic outbreaks of human adult diarrheal disease. RVA and RVB are predicted to encode mostly homologous proteins but differ significantly in the proteins encoded by the NSP1 gene. In the case of RVB, the NSP1 gene encodes two putative protein products of unknown function, NSP1-1 and NSP1-2. We demonstrate that human RVB NSP1-1 mediates syncytia formation in cultured human cells. Based on sequence alignment, NSP1-1 from groups B, G, and I contain features consistent with fusion-associated small transmembrane (FAST) proteins, which have previously been identified in other Reoviridae viruses. Like some other FAST proteins, RVB NSP1-1 is predicted to have an N-terminal myristoyl modification. Addition of an N-terminal FLAG peptide disrupts NSP1-1-mediated fusion, consistent with a role for this fatty-acid modification in NSP1-1 function. NSP1-1 from a human RVB mediates fusion of human cells but not hamster cells and, thus, may serve as a species tropism determinant. NSP1-1 also can enhance RVA replication in human cells, both in single-cycle infection studies and during a multi-cycle time course in the presence of fetal bovine serum, which inhibits rotavirus spread. These findings suggest potential yet untested roles for NSP1-1 in RVB species tropism, immune evasion, and pathogenesis. IMPORTANCE While group A rotavirus is commonly associated with diarrheal disease in young children, group B rotavirus has caused sporadic outbreaks of adult diarrheal disease. A major genetic difference between group A and B rotaviruses is the NSP1 gene, which encodes two proteins for group B rotavirus. We demonstrate that the smaller of these proteins, NSP1-1, can mediate fusion of cultured human cells. Comparison with viral proteins of similar function provides insight into NSP1-1 domain organization and fusion mechanism. Our findings are consistent with an important role for a fatty acid modification at the amino terminus of the protein in mediating its function. NSP1-1 from a human virus mediates fusion of human cells, but not hamster cells, and enhances rotavirus replication in culture. These findings suggest potential, but currently untested, roles for NSP1-1 in RVB species tropism, immune evasion, and pathogenesis.
Improved, scalable techniques to cultivate fire mosses for rehabilitation

As wildfires increase in extent and severity in the western United States, land managers need new tools to stabilize and rehabilitate impacted hillslopes. One potential tool is the use of three disturbance‐adapted mosses Ceratodon purpureus (Redshank), Funaria hygrometrica (Cord moss), and Bryum argenteum (Silvergreen moss), collectively known as fire mosses. By growing and adding vegetative propagules in the form of gametophyte fragments to burned hillslopes, land managers could potentially increase the rate of moss colonization and stabilize soils. A first step in developing a native plant materials rehabilitation technique is overcoming propagule limitations using ex situ cultivation. We focused on greenhouse cultivation of moss gametophyte fragments allowing us to grow vegetative propagules with control over atmospheric, edaphic, and hydrologic conditions. In this experiment, we grew fire mosses using an easily scalable technique and commercially available materials. We demonstrated repeated success growing these species in the greenhouse and fine‐tuned harvesting techniques to increase productivity. We found that fire moss achieved high cover in 2 months when grown on organic substrate with constant wicking hydration and a protective shade covering, but growth was not favored by addition of burned materials. We successfully upscaled our growing technique, and developed efficient harvest methods. This success overcomes an initial barrier to testing and developing fire mosses as a novel rehabilitation technique.
MIRROR VISUAL FEEDBACK IMPACT ON ABDUCTOR POLLICIS BREVIS MUSCLE ELECTRICAL ACTIVITY IN THE STROKE AFFECTED ARM

Research background and hypothesis. Stroke is recognized as one of the major causes of morbidity, mortality and long-term disability around the world (Laver et al., 2012). Mirror visual feedback is one of the newest areas of research that shows the potential application in neurorehabilitation (Kang et al., 2012). We hypothesize that abductor pollicis brevis muscle activity in the stroke affected arm will be higher when the movements are performed with non-affected hand visual mirror feedback. Research aim was to identify mirror visual feedback impact on abductor pollicis brevis muscle electrical activity in the stroke affected arm. Research methods. Post-stroke subjects (n = 12) performed bimanual thumb opposition under three conditions: without mirror visual feedback, with non-affected and affected arm reflection in the mirror. Electrical activity of abductor pollicis brevis muscle was recorded simultaniously. Research results. There was a significantly higher (p < 0.05) muscle activity amplitude when thumb opposition was performed with visual feedback of non-affected hand compared to task without mirror visual feedback. No muscle activity amplitude difference was observed when thumb opposition was performed looking at affected hand mirror visual feedback compared to task without mirror visual feedback. Motor unit firing rate did not differ between tasks. Discussion and conclusions. I. Nojima and co-authors (2012) have identified that mirror visual feedback activates motor cortex. Additionally, our study shows that even during one-time movement with observation of nonaffected hand in the mirror shows higher muscle electrical activity in the affected hand.
Cellulose Dissolution and Biomass Pretreatment Using Quaternary Ammonium Ionic Liquids Prepared from H-, G-, and S-Type Lignin-Derived Benzaldehydes and Dimethyl Carbonate

The synthesis of novel benzyl alkylammonium ionic liquids (IL) from starting materials derived from grass, softwood, and hardwood lignin was performed using batch reactor systems followed by facile methyl carbonate ion exchange chemistry. Approximately 90% yields of the ILs were achieved over three synthetic steps, and all novel materials were fully characterized by 1H and 13C nuclear magnetic resonance spectroscopy and high-resolution mass spectrometry. The structure–activity relationships of the lignin-derived ILs were evaluated for their ability to dissolve microcrystalline cellulose and convert switchgrass to fermentable sugars (glucose and xylose). All ILs tested, including a 1:1:1 mixture of ILs prepared from vanillin, syringaldehyde, and p-anisaldehyde yielded 52–71% of the glucose and 50–71% of the xylose from the total amount of glucan and xylan available in the raw feedstock. These data compared well to the yields obtained from switchgrass pretreatment with the IL, 1-ethyl-3-methyl imidazolium a.
Fatigue Strength of Thin-Walled Rectangular Elements in the State of Post-Critical Deformation

The paper presents the results of numerical analyses and static experimental testing of thin-walled rectangular elements subject to post-critical deformation under shear conditions. The deliberations concerned the elements made of aluminium alloy and the model material. The obtained stress distribution was used to conduct a numerical simulation of the fatigue strength for a metal plate and testing under cyclic load conditions for both types of models.
Hyperspectral Image Classification With Small Training Sample Size Using Superpixel-Guided Training Sample Enlargement

Hyperspectral image (HSI) classification (HIC) has attracted much attention in the last decade. Spectral–spatial HIC methods have been the state-of-the-art methods in recent years. Small labeled training sample size (SLTSS) problem is still an important issue in HIC. This paper presents a spectral–spatial HIC method that is based on superpixel (SP) segmentation and distance-weighted linear regression classifier to tackle the SLTSS problem. First, SP segmentation is applied to the original HSI. Then, those SPs that contain training samples belonging to only one class are first searched out, and all the pixels of each of these SPs are assigned to the class of the training samples it contains. Next, with the identified labels, all these classified pixels are added to the initial training sample set for training sample set enlargement. Later, using this enlarged training sample set, the distance-weighted linear regression classifier is applied to classify each mean vector of each SP. Finally, the last classification map is obtained by assigning each SP with the same label as its mean vector. Experimental results on three HSI data sets demonstrate that the proposed approach can solve SLTSS problem very well and outperforms several state-of-the-art algorithms in classification accuracy under different training samples sizes.
Algorithmization of the process of recognition of states of living objects based on special x-ray images

The article discusses results of the development of an expert system module for diagnosing diseases based on the method of neural network analysis. In the course of the study, it was established that when processing images obtained using magnetic resonance imaging (MRI) devices, convolutional neural networks offer the maximum efficiency. An algorithm is developed to select an optimal neural network structure best suited for our objective. As a result of the work, we developed a convolutional neural network capable of detecting foci of pathological changes in tissues with high probability in the images obtained by MRI scanners. The method was evaluated using a separate human organ - lungs. The system was implemented in a test mode in one of the largest clinics of the city of Voronezh.
The Role of Trait Reversal in Evolutionary Diversification: A Test Using Song Loss in Wild Crickets

The mechanisms underlying rapid macro evolution are controversial.One largely untested hypothesis that could inform this debate is that evolutionary reversals might release variation in vestigial traits, which then facilitate subsequent diversification. We evaluated this idea by testing key predictions about vestigial traits arising from sexual trait reversal in wild field crickets. In Hawaiian Teleogryllus oceanicus, the recent genetic loss of sound producing and amplifying structures on male wings eliminates their acoustic signals.Silence protects these ‘flatwing’ males from an acoustically orienting parasitoid and appears to have evolved independently more than once.Here we report that flatwing males show enhanced variation in vestigial resonator morphology under varied genetic backgrounds. Using laser Doppler vibrometry, we found that these vestigial sound-producing wing features resonate at highly variable acoustic frequencies well outside the normal range for this species. These results satisfy two important criteria for a mechanism driving rapid evolutionary diversification: sexual signal loss was accompanied by a release of vestigial morphological variants, and these could facilitate the rapid evolution of novel signal values. Widespread secondary trait losses have been inferred from fossil and phylogenetic evidence across numerous taxa, and our results suggest that such reversals could play a role in shaping historical patterns of diversification.
A study of non-profit leaders' risk-taking propensity and managerial leadership styles

Risks are an inherent part of life and in nonprofit organizations (NPOs) in particular. Nonprofit organizations struggle to respond to changes imposed by external and internal environmental influences. These influences revolve around the myriad social, cultural, political, environmental, and economic changes and their attendant challenges. The NPOs now face yet another challenge, which is a significant managerial leadership deficit. The purpose of this quantitative study is to examine whether nonprofit leaders’ risk-taking propensity (RTP) is associated with their managerial leadership styles (MLS). Furthermore, the study will examine if age, gender, level of education, size of an organization, and number of employees have any effect on a leader’s style and his or her propensity for risk-taking. The study utilized a quantitative correlational research design. This was appropriate, as the purpose of this study was to measure the correlation between two variables. Of the 82 NPOs invited to participate, 125 leaders responded positively to the request. The 73 valid survey responses received were complete. This represents a 58.4% valid response rate for this study. Findings indicated that nonprofit leaders who participated in this correlational study considered themselves to utilize transformation leadership style, and the most common risk domain is the ethical domain. Also, a positive significant relationship between leader’s risk-taking propensity and his or her transformation leadership style. A STUDY OF NON-PROFIT LEADERS’ RISK-TAKING PROPENSITY AND MANAGERIAL LEADERSHIP STYLES A Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree Doctor of Education
Discovering and Visualizing Knowledge Evolution of Chronic Disease Research Driven by Emerging Technologies

The aging population and an unhealthy lifestyle have led to a considerable proportion of chronic diseases in many countries. A new generation of emerging technologies has set off a new wave of revolution around the world, such as cloud computing, the Internet of Things, artificial intelligence, and so on. In recent years, the literature associated with chronic disease research driven by emerging technologies has grown rapidly, but a few studies have used bibliometrics and a visualization approach to conduct deep mining and reveal a panorama of this field. This paper is a bibliometric analysis of chronic disease research driven by emerging technologies, and this paper analyzed and visualized the time distribution, space distribution, literature co-citation, and research focus. Moreover, this paper visualized and determined the dynamic knowledge structure of chronic disease research driven by emerging technologies, which will be helpful in understanding the current research status and identifying the future research directions in this research field for e-health and medical informatics scholars.
Text data analysis using Latent Dirichlet Allocation: an application to FOMC transcripts

ABSTRACT This paper applies Latent Dirichlet Allocation (LDA), a machine learning algorithm, to analyse the transcripts of the U.S. Federal Open Market Committee (FOMC) covering the period 2003–2012, including 45,346 passages. The goal is to detect the evolution of the different topics discussed by the members of the FOMC. The results of this exercise show that discussions on economic modelling were dominant during the Global Financial Crisis (GFC), with an increase in discussion of the banking system in the years following the GFC. Discussions on communication gained relevance towards the end of the sample as the Federal Reserve adopted a more transparent approach. The paper suggests that LDA analysis could be further exploited by researchers at central banks and institutions to identify topic priorities in relevant documents such as FOMC transcripts.
Smart Walking Stick for Visually Impaired People

In this paper, we introduce a smart stick system for assisting blind people. The smart stick comes as a proposed solution to enable visually impaired people to find difficulties in detecting obstacles and dangers in front of them during walking and to identify the world around. The system is designed to act like an artificial vision and alarm unit.The system consists of five components: ultrasonic sensor, Vibrator motor, water sensor, light (LDR) sensor, microcontroller (Arduino Uno R3) to receive the sensor signals and process them to short pulses to the Arduino pins where buzzers, vibrator and voice alarms are connected. GPS navigation in the Mobile can be used to guide the blind for new places and unfamiliar places. We seek in our project to provide a smart stick affordable and suitable for most blind people, and also it is light in weight. It can be made available to all segments of the society and their families who need them.
System simulation as decision data in heathcare it

Information Technology in healthcare is an ever-growing enterprise, with medical providers becoming more and more reliant on data to make care decisions. With the increased reliance on these applications for care, questions arise around the availability and manageability of those systems. This paper examines a model which has been developed for the selection of computing infrastructure architectures in healthcare organizations. This model utilizes the Analytics Hierarchy Process (AHP) to weigh the various criteria that come into play for decisions of this nature. Further, to vet the recommendations of the AHP model, and to lend quantitative data to the decision making process, simulations of the various architectural options were built for various application scenarios. The results of these simulations thus serve as additional validation of the model's efficacy. This paper focuses on the use of discrete event simulation using ExtendSim® to assist in the architectural selection process for computing architectures.