Miracle-dz/UniFAR-FTUs huggingface dataset:
Standing up against workplace bullying behavior: Recommendations from newly licensed nurses.

Objective Workplace bullying exists in today's healthcare system and often targets newly licensed nurses. Experiences of workplace bullying behavior may negatively affect the nurses' physical and psychological health and impact job satisfaction and staff turnover rates at an organizational level. The purpose of this study was to explore strategies suggested by newly licensed nurses to prevent and intervene during incidents of workplace bullying behavior. Methods An exploratory qualitative design guided this study. Three open-ended questions asked included: What do you think could be done to prevent a future, similar incident of workplace bullying? If you or someone else attempted to the stop the bullying incident, please describe the actions taken. If you or someone else did not attempt to stop the bullying incident, please state what would need to happen for you to intervene on behalf of yourself or someone else. Surveys were distributed electronically to newly licensed nurses from three baccalaureate nursing programs who had participated in a workplace bullying education intervention study as students. A total of 79 responses were received. Responses to three open-ended questions about recent incidents of workplace bullying behavior were coded and analyzed. Then the Social-Ecological Model was used to organize results into individual, relationship, and organizational level strategies. Results Most respondents reported experiencing workplace bullying behaviors in the previous six months. Three domains of strategies were identified: Preventing Future Bullying Behavior, Stopping Incidents of Bullying Behavior, and Promoting Others to Act. Conclusions Results indicated newly licensed nurses desire to be supported by their peers and organization as well as strategies to intervene when bullying behaviors occur. Implications for clinical practice and education are presented.
A framework for the objective evaluation of segmentation algorithms using a ground-truth of human segmented 3D-models

In this paper, we present an evaluation method of 3D-mesh segmentation algorithms based on a ground-truth corpus. This corpus is composed of a set of 3D-models grouped in different classes (animals, furnitures, etc.) associated with several manual segmentations produced by human observers. We define a measure that quantifies the consistency between two segmentations of a 3D-model, whatever their granularity. Finally, we propose an objective quality score for the automatic evaluation of 3D-mesh segmentation algorithms based on these measures and on the ground-truth corpus. Thus the quality of segmentations obtained by automatic algorithms is evaluated in a quantitative way thanks to the quality score, and on an objective basis thanks to the groundtruth corpus. Our approach is illustrated through the evaluation of two recent 3D-mesh segmentation methods.
The Swedish Experience

Sweden is one of the countries which does not have a Public Accounts Committee. Since the Swedish National Audit Office was formed in 2003, two non-PAC models for the channelling of audits to Parliament have been tested. This chapter discusses the Swedish experience from these. It suggests that one reason why Sweden has avoided forming a PAC is the wish to preserve a political culture focused on collaboration and pragmatic improvement, rather than confrontation and accountability debates. The current model is successful in this regard. Findings emphasise the importance of a fit between political culture and systems for accountability.
Evaluation of the Outcome of Tibial Shaft Fracture by Close Reduction and Internal Fixation with Interlocking Intramedullary Nail

Background: Tibial shaft fractures were common occurrence due to road traffic accident, most casualty affecting the active working people, male were more affected than female. Treatment of diaphyseal fractures were treated by close reduction and internal fixation with interlocking intramedullary nail showed in many study with excellent results. Objective: To evaluate and analyze the results and outcome of tibial shaft fractures by interlocking intramedullary nail. Methods: This prospective observational study (case series) was conducted in the department of orthopaedic and traumatology department, Dhaka Medical College and Hospital and NITOR from January 2011 to December 2012. This study included both sexes and age between 18 years to 55 years and 30 patients were included in this study. As per inclusion and exclusion criteria all stable or non-displaced unstable or displaced and Gustilo type-1 fractures of proximal, middle and distal third fractures were included in this study . Diagnosis of the tibial diaphyseal fracture was made by history, clinical examination & radiological evidence. Results: A total number of 30 patients were treated and followed up in this study. Among 30 patients 21 (70%) were male and 9 (30%) were female, mean age was 31.8 years with a range of 18 years to 55 years median was 32.5 years mode was 34 years and SD was 2.1. in the study mode of injury distribution was 21 (70%) RTA, 6 (20%) fall from height and 3 (10%) assault. In this study severity injury 46.7% are stable 33% are unstable and 23.3% was Gustilo-1 , distribution of level of fracture was middle third 57% distill third 29% and proximal third 17% , injury surgery interval average 11.5 days (60%) in 18 cases and 5 days (40%) in 12 cases. Partial weight bearing given at 2 weeks & full weight bearing at 6 weeks and union occurred in average 18.5 weeks. In rating of final outcome 24 cases (80%) were excellent, 3 cases (9%) were good, 2 cases (7%) were fair and 1 case (3%) was poor. In final outcome categorization satisfactory were 90% and unsatisfactory were 10%. Conclusion: This study permits to conclude that close interlocking intramedullary nail for treatment of tibial diaphyseal fracture is safe, with a high rate of union and early mobilization with a low complication rate and early return to function.
The Impact of Board Capital on Internationalization of SMEs: Initial Theoretical Considerations

The study aims to investigate the relationship between Board capital and internationalization of SMEs. The study implements a systematic review and synthesis of scientific literature. The article presents useful insights into the concept of Board capital, Agency, Resource dependency, Institutional theories, and Resource-Based view. These theories give us a better understanding of Board capital, the firm’s management and behavior. The analysis of recent studies suggests that external members of the Board might positively affect internationalization outcomes and be useful in overcoming obstacles during the initiation of international activities. Nevertheless, international entrepreneurship literature is still lacking studies considering Board capital. A deeper investigation of Board capital factors impacting the internationalization of SMEs can be stated as a future research direction.
Proposal along with implementation of detection of misbehavior node in CGSR network

- A mobile ad hoc network (MANET) is generally defined as a network that has many self-organized, free or autonomous nodes that can arrange themselves in various ways and operate without any supervision of strict network administration. The Dynamic nature of the MANET is a major challenge to maintain the frequently changing topology of the network. So there is more possibility of attacker and misbehaving node. When misbehaving nodes participate in the route discovery phase but refuse to forward the data packets, the performance is degraded severely. Various types of misbehavior can be possible in MANET. This paper studied the various techniques to detect the misbehaving nodes
Classification And Detection Of Nutritional Deficiencies In Coffee Plants Using Image Processing And Convolutional Neural Network (CNN)

: Coffee farmers or growers have difficulty in classifying nutritional deficiencies in coffee plants. Proper detection of these nutritional deficiencies could help them in giving proper intervention to plants. The study was conducted to classify and detect the nutritional deficiencies in coffee plants using image processing and Convolutional Neural Network (CNN). Once the nutritional deficiency is identified, the prototype will display recommended fertilizer for the plant. One thousand images with eight nutritional deficiencies were used in the study namely, Boron (B), Calcium (Ca), Iron (Fe), Nitrogen (N), Phosphorus (P), Potassium (K), Magnesium (Mg) and Zinc (Z). The study covered the four varieties of coffee named Arabica, Robusta, Excelsa and Liberica existing in the Philippines. The capturing of images for testing and training the dataset were done in coffee farms and nurseries in Cavite State University, National Coffee Research, Development and Extension Center (NCRDEC) and Amadeo, Cavite. Experimental and development research designs were used. Image processing techniques was utilized in converting the images into grayscale and binary values for threshold and segmentation. Convolutional Neural Network (CNN) provides the predicted nutritional deficiencies in the coffee plants through classification and detection. Results shows that CNN has a high accuracy in detecting and classifying the nutritional deficiencies in coffee plants. The prototype was evaluated, and results shows that it is an effective alternative for classifying and detecting the nutritional deficiencies in coffee plants.
SEARCH FOR STABLE ORBITS AROUND THE BINARY ASTEROID SYSTEMS 1999 KW4 AND DIDYMOS

This work includes analytical and numerical studies of spacecrafts orbiting two binary asteroid systems: 1999 KW4 and Didymos. The binary systems are modeled as full irregular bodies, such that the whole evolution of the results will show the impact of the irregular gravity field in the lifetime and dynamics of the spacecraft’s orbit. The equations of motion of the binary system and the spacecraft are derived from Lagrange Equations. The solar radiation pressure is consired in the dynamics of the spacecraft.Two distinct methods are used to search for stable orbits around the binary systems. One is called the grid search method, which defines the main body as a point mass to estimate the initial state of the spacecraft based on a circular Keplerian orbit. The second method is the search for periodic orbits based on zero-velocity surfaces. RESUMEN Este trabajo presenta estudios anaĺıticos y numéricos sobre naves espaciales en órbita en torno a dos asteroides binarios: 1999 KW4 y Didymos. Se modelan los sistemas binarios como cuerpos irregulares, de modo que la evolución muestre el impacto del campo de gravedad irregular sobre los tiempos de vida y la dinámica de la órbita de la nave. Se derivan las ecuaciones de movimiento del sistema binario y de la nave a partir de las ecuaciones de Lagrange. Se considera la presión de radiación solar. Se buscan órbitas estables en torno a los sistemas binarios mediante dos métodos. El primero se conoce como el método de búsqueda en la malla, y considera al cuerpo principal como punto masa para estimar el estado inicial de la nave a partir de una órbita Kepleriana circular. El segundo busca órbitas periódicas mediante las superficies de cero velocidad.
Liver Profile of Atazanavir/Ritonavir in Pregnant Albino Rats

Medication use during pregnancy is challenging due to the occurrence of maternal or fetal toxicities. Atazanavir/ritonavir (ATV/r) has hepatotoxic potential hence; use in pregnant patients living with human immunodeficiency virus may cause maternal hepatotoxicity. This study assessed the liver profile of ATV/r in pregnant albino rats. Thirty pregnant albino rats randomized into groups were orally treated daily with ATV/r (4.28/1.43 mg/kg-34.3/11.4 mg/kg) for 16 days. After treatment, the rats were weighed and sacrificed. Blood samples were collected and examined for serum biochemical parameters. Liver samples were weighed and assessed for biochemical and histological changes. Body and liver weights were normal (p>0.05) in ATV/r-treated pregnant rats when compared to control. Serum total cholesterol, triglyceride, low density lipoprotein cholesterol and blood glucose levels were significantly (p<0.01) elevated whereas high density lipoprotein cholesterol level was significantly (p<0.01) decreased in rats treated with ATV/r (34.3/11.4 mg/kg) when compared to control. Liver and serum aminotransferases, alkaline phosphatase, gamma-glutamyl transferase, lactate dehydrogenase, total bilirubin, and conjugated bilirubin levels were significantly increased in a dose-dependent fashion in rats treated with ATV/r; 8.57/2.86 mg/kg (p<0.05), 17.1/5.72 mg/kg (p<0.01) and 34.3/11.4 mg/kg (p<0.001) when compared to control. Liver superoxide dismutase, catalase, glutathione and glutathione peroxidase levels were significantly decreased whereas malondialdehyde levels were significantly increased in a dose-dependent fashion in rats treated with ATV/r; 8.57/2.86 mg/kg (p<0.05), 17.1/5.72 mg/kg (p<0.01) and 34.3/11.4 mg/kg (p<0.001) when compared to control. Necrotic hepatocytes were observed at higher doses of ATV/r. ATV/r may not be hepatotoxic in pregnant women living with HIV at the clinical dose.
A quick method for micro-propagation of Aloe vera L. from leaf explants via callus induction

Micropropagation or regeneration of plants depends on an efficient protocol. An efficient protocol for plant regeneration was developed in present experiment using leaves and lateral shoots explants of Aloe vera. Investigation was conducted to assess the suitability of leaf explants for callusing using different concentration of auxin (2, 4-D and NAA) cytokinin (BAP and Kinetin) in semi-solid Murashige and Skoog (MS) media. Both shoot induction and elongation were better on MS medium supplemented with 4.0 mg/L BAP+ 1.0 mg Kin highest percentage (93.33%). All cultures showed shoot regeneration in this medium with multiple shoots/callus. Root regeneration was found maximum 66.67% in half basal MS medium with combination of 3.0 mg/L 2, 4 D+ 2.0 mg NAA in all combinations of both PGRs. On the other hand, the lowest number of root per inoculated shoot was zero without PGRs. Further the regenerated plants with well-developed roots were transferred to sterilized cockpit in poly house. By this procedure in future the cost of Aloe vera production will be decreased which will lead the decrease of aloe product prices in market and the standardization of the media and PGRs combinations are very useful for future studies and micropropagation of Aloe vera L.
A Structural Model of Mindfulness, Religiosity, Goal Setting, Social Support, Self-Concept and School Counsellor Psychological Well-Being

This study focused on the underlying factors of school counsellors’ psychological well-being and the contribution of these factors to psychological well-being. This study used Structural Equation Modelling as its analysis method. This study concludes that the major hypothesis was accepted. School counsellors with higher levels of mindfulness are capable of improving their self-concept. A good level of religiosity may improve a school counsellor’s self-concept, or it may make their self-concept more positive. Religiosity, along with mindfulness, accounts for 56% of their selfconcept. The rest of it is accounted for by other variables. A school counsellor’s mindfulness does not necessarily improve their psychological well-being. Otherwise, improvement of psychological well-being may be caused by other variables or by mindfulness related to other variables.
A 12-week, randomized, double-blind study to evaluate the efficacy and safety of liver function after using fermented ginseng powder (GBCK25)

Background Recently, clinical research has suggested that red ginseng components play a role in liver protection and combating fatigue. However, fermented ginseng has not been analyzed for liver-protective or anti-fatigue effects. Objective This study evaluates the positive effects of fermented ginseng powder (GBCK25) on liver function. Methods Ninety participants with elevated alanine aminotransferase levels (35 ≤ ALT ≤1 05 IU/L) were randomized to one of three groups. The participants were treated with GBCK25 tablets at a dose of 500 mg/day (high dose), 125 mg/day (low dose), or placebo group daily for 12 weeks. The primary outcomes included changes in ALT and gamma-glutamyl transferase (GGT) levels. The secondary outcomes included changes in aspartate amino-transferase (AST), high-sensitivity C-reactive protein (hs-CRP), multidimensional fatigue scale, lipid profile, and antioxidant markers. Results In male subjects, after 12 weeks of low-dose GBCK25 (125 mg) supplementation, the GGT (P = 0.036) and hs-CRP (P = 0.021) levels decreased significantly more than those in the placebo group. High-dose GBCK25 (500 mg) supplementation significantly decreased the fatigue score compared with the placebo group. There were no clinically significant differences between the groups when studying any safety parameter. Conclusion Our results suggest that GBCK25 supplementation has beneficial effects on liver function. Trial registration This study was registered at Clinical Trials.gov (NCT03260543).
Artificial intelligence for localization of ultrawide bandwidth (UWB) sensor nodes

The application of position-or location-awareness is becoming more and more prominent and the demand for indoor positioning system (IPS) is urgent. Many different wireless technologies have been employed for the development of IPS, such as Bluetooth, Radio Frequency Identification (RFID), Zigbee, Ultra-Wide Band (UWB), WiFi, etc. Among these different technologies, UWB has a unique advantage in penetration ability, precise ranging, anti-multipath and anti-interference due to it has extremely large bandwidth. However, factors such as environmental noise, multipath effect, interference of nearby devices, non-line of sight (NLOS) environment etc. affect the accuracy of positioning and localisation. Therefore, in this chapter, we attempt to enhance the indoor positioning accuracy of the UWB system by developing a Naive Bayes (NB) classifier. Root Mean Square Error (RMSE) criterion is selected to classify the received data into three different levels; low, medium, and high accuracy. After that, receiver operating characteristics (ROC) curves are plotted and the area under the curves (AUC) enables us to visualize the accuracy of NB classifier. The developed technique is then tested and verified by two different indoor scenarios. The IPS is initially tested in a small-sized room having an area of around 16 𝑚 2 , followed by testing in a medium-sized room having an area of around 26 𝑚 2 . From our
Understanding a Pedestrian Needs: Cases of metropolitan area

Understanding the pedestrian needs is crucial. Malaysian citizen, especially those living in the city centre, has been too dependent on private transports due to high dissatisfaction towards pedestrian design provision. This includes cleanliness, accessibility and connectivity. Main objective of the research is to determine the factors that affect pedestrian satisfaction and to propose a solution model. This research embarks into a quantitative study where daily and active pedestrian were interview using a stated preference survey in Kuala Lumpur urban area. The research suggests a details understanding of the pedestrian needs among urban citizen who live and work in the city.Keywords: Pedestrian Need; Urban Area; Infrastructure; SatisfactioneISSN 2398-4295 ©2020 The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.DOI: http://dx.doi. org/10.21834/ajbes.v5i18. 189
ENSO and internal sea surface temperature variability in the tropical Indian Ocean since the Maunder Minimum

Abstract. The dominant modes of climate variability on interannual timescales in the tropical Indian Ocean are the El Nino Southern Oscillation (ENSO) and the Indian Ocean Dipole. El Nino events have occurred more frequently during recent decades and it has been suggested that an asymmetric ENSO teleconnection (warming during El Nino events is stronger than cooling during La Nina events) caused the pronounced warming of the western Indian Ocean. In this study, we test this hypothesis using coral Sr / Ca records from the central Indian Ocean (Chagos Archipelago) to reconstruct past sea surface temperatures (SST) in time windows from the Maunder Minimum to the present. Three sub-fossil massive Porites corals were dated to the 17–18th century (one sample) and 19–20th century (two samples), and were compared with a published, modern coral Sr / Ca record from the same site. All corals were sub-sampled at a monthly resolution for Sr / Ca measurements, which were measured using a simultaneous ICP-OES. All four coral records show typical ENSO periodicities, suggesting that the ENSO-SST teleconnection in the central Indian Ocean was stationary since the 17th century. To determine the symmetry of ENSO events, we compiled composite records of positive and negative ENSO-driven SST anomaly events. We find similar magnitudes of warm and cold anomalies indicating a symmetric ENSO response in the tropical Indian Ocean. This suggests that ENSO is not the main driver of central Indian Ocean warming.
Antioxidant and Anti-fibrotic Properties of Root Extract of Lythrumsalicaria L. in $CCL_4$-Induced Liver Fibrosis Rat Model

Fifty percent ethanol extract of Lythrum salicaria Linne root (LSR) was tested in vitro on antioxidant activity, and furthermore was investigated on antioxidative and fibrosis protecting activities in -induced liver fibrosis rat model. Ratio of hepatic GSH/GSSG (reduced glutathione/oxidized glutathione) as bio-parameter of antioxidant level in plus LSR-treated rats for 6 weeks significantly increased from 2.8- to 5.7-fold than that of -treated rats at p plus LSR-treated rats ranged from 1.57- to 2.19-fold of normal rats and were lower than those in plus silymarin-treated rats (-fold of normal rats) (p plus LSR-administrated rat livers were /mg (, compared with that in -treated rat livers (/mg tissue), which were significantly lower than those in plus silymarin-administrated rats being /mg (). This collagen reducing effect of liver tissue in plus LSR-treated rats was supported by histological observation using microscopy assay. From the results, we conclude that the root of L. salicaria have efficient antioxidant potential and effective antifibrotic activities.
Using Sparse Classification Outputs as Feature Observations for Noise-robust ASR

Sparse Classification (SC) is an exemplar-based approach to Automatic Speech Recognition. By representing noisy speech as a sparse linear combination of speech and noise exemplars, SC allows separating speech from noise. The approach has shown its robustness in noisy conditions, but at the cost of degradation in clean conditions. In this work, rather than using the state probability estimates obtained with SC directly in a Viterbi decoding, the probability distributions of SC are modeled by Gaussian Mixture Models (GMMs), for which purpose we introduce a novel transformation. Results on the AURORA-2 task show that our proposed approach is effective in all high SNR conditions in both test set A and B. We achieve a word error rate reduction of 47.4% and 29.9% averaged cross 0-20dB SNR in test set A and B respectively. The reduction rate at clean goes up to 70.6% relative to the SC baseline.