Miracle-dz/UniFAR-FTUs huggingface dataset:
PHYTOREMEDIATION POTENTIAL OF LEMONGRASS (CYMBOPOGON FLEXUOSUS STAPF.) GROWN ON TANNERY SLUDGE CONTAMINATED SOIL

Phytoremediation is one of the safest and sustainable approaches to reclaim metal contaminated soil. The present study assessed the phytoremediation potential of lemongrass (Cymbopogon flexuosus Stapf.) by growing it on soil mixed with different concentrations of tannery sludge i.e., 5, 10 and 15% regarded as 5% TS + S, 10%TS + S, and 15% TS + S whereas the soil without tannery sludge was taken as control (0%TS + S). After 35 days of growth, the plants were harvested to record various morpho-physiological attributes and accumulation of various heavy metals in above and below ground plant parts. Results revealed that soil mixed with TS reduced the morphological attributes i.e., the fresh weight, dry weight, number of roots, number of leaves, number of tillers, and shoot length up to 37.50, 26.86, 23.46, 56.25, 16.13 and 19.31%. Moreover, tannery sludge application enhanced the free radicals i.e., 2, 2-diphenyl-1-picrylhydrazyl (DPPH) and regulated the antioxidant activities. Overall metal uptake was higher in the root than shoot whereas the amount of heavy metals uptake by plants was the highest at 15% concentration. The trend of metal uptake was recorded as: Cr > Cd > Cu > Mg > Fe > Zn > Ni > Pb.
Economical Assess of Concentrated Solar Tower Power Plants in the Brazilian Scenario

Renewable energy integration has been used as one the most common alternatives for governments that chase a diverse energetic matrix and a sustainable expansion of economy. Developing countries with high values of Direct Normal Irradiation (DNI) such as Brazil tend to consider photovoltaic power plants as a valuable option, but the small capacity factor of these systems is often an obstacle. As the energy demand increases, this creates an opportunity for the integration of concentrated solar tower (CST) plants. In this context, an appropriate economical evaluation becomes urgent so to introduce and consolidate this technology into the Brazilian reality. This paper, whose goal is to assess the economical viability of the Solar Tower technology at the Regulated Contracting Environment (RCE), appraise a variety of financial indicators of a power plant simulated in Brazil. The conducted analysis can be an important tool for governments and agencies to make the CSP technology an attractive solution to investors. The results of this paper show that a reduction of 33% on the initial costs and 14% on the discount rate can reduce the Levelized Cost of Energy (LCOE) up to USD 0,027 per kWh.
EVALUATION OF ORGANIZATIONAL CITIZENSHIP BEHAVIOR IN THE CONTEXT OF ORGANIZATIONAL COMMITMENT: THE CASE OF HEFEI PUBLIC SERVICE INSTITUTIONS, CHINA

The subject of research is organizational citizenship behavior (OCB) in the context of organizational commitment (OC) in public service institutions of Hefei city, China. Two research hypotheses have been proposed: “Organizational citizenship behavior has positive relationship with organizational commitment” and “Organizational commitment is a predictor of organizational citizenship behavior”. To find the relationship between organizational citizenship behavior and organizational commitment, this study adopted a relational approach. A validated questionnaire from previous studies was used to collect the data. A total of 234 people (78% response rate) working in different public service institutions responded to the survey. Correlation and regression were used to assess the impact and relationship between variables of this study. The regression and correlation results for this study showed that there is a very strong and significant relationship between the two variables (OCB and OC) in public service institutions of Hefei city. Thus, the results of this study clearly support the idea that policy makers in public service institutions should pay more attention to shaping organizational civic behavior by investing in organizational commitment.
FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks

Deep neural networks (DNNs) are widely used in various AI application domains such as computer vision, natural language processing, autonomous driving, and bioinformatics. As DNNs continue to get wider and deeper to improve accuracy, the limited DRAM capacity of a training platform like GPU often becomes the limiting factor on the size of DNNs and batch size—called memory capacity wall . Since increasing the batch size is a popular technique to improve hardware utilization, this can yield a suboptimal training throughput. Recent proposals address this problem by ofﬂoading some of the intermediate data (e.g., feature maps) to the host memory. However, they fail to provide robust performance as the training process on a GPU contends with applications running on a CPU for memory bandwidth and capacity. Thus, we propose FlashNeuron, the ﬁrst DNN training system using an NVMe SSD as a backing store. To fully utilize the limited SSD write bandwidth, FlashNeuron introduces an ofﬂoading scheduler, which selectively ofﬂoads a set of intermediate data to the SSD in a compressed format without increasing DNN evaluation time. FlashNeuron causes minimal interference to CPU processes as the GPU and the SSD directly communicate for data transfers. Our evaluation of FlashNeuron with four state-of-the-art DNNs shows that FlashNeuron can increase the batch size by a factor of 12.4 × to 14.0 × over the maximum allowable batch size on NVIDIA Tesla V100 GPU with 16GB DRAM. By employing a larger batch size, FlashNeuron also improves the training throughput by up to 37.8% (with an average of 30.3%) over the baseline using GPU memory only, while minimally disturbing applications running on CPU.
More than meets the eye: Pulmonary embolism in an HIV patient with COVID-19 infection

Introduction: Since the emergence of the novel coronavirus 2019 (COVID-19) pandemic, the understanding of its pathophysiology and clinical features has continued to unfold. COVID-19 causes acute respiratory distress syndrome (ARDS) along with other coronaviruses. In contrast to other coronaviruses, COVID-19 has been found to be associated with deep vein thrombosis, pulmonary embolism, and arterial thrombosis. Although COVID-19 is thought to have worse outcomes in immunocompromised patients, its relationship with human immunodeficiency virus (HIV) remains interesting. This is because COVID-19 has been shown to be similar in frequency of occurrence in HIV patients on anti-retroviral (ART) and in whom the viral load is low as in non-HIV patients. However, its incidence is higher in non-compliant HIV patients, similar to other immunosuppressed patients. In addition, both COVID-19 and HIV increase the risk of thrombo-embolic events. Case Report: We present the case of a gentleman with HIV who developed COVID-19 and pulmonary embolism. We explore the proposed mechanisms by which pulmonary embolism occurs in both conditions as well as their management. Conclusion: Both HIV and COVID-19 increase the risk of thrombo-embolic events. Sudden deterioration in these patients or increase in their oxygen requirement Nonyelum Obiechina, Ancy Fernandez, Adnan Agha, Angela Nandi Affiliation: University Hospitals of Derby and Burton NHS Foundation Trust, Queens Hospital, Belvedere Road, Burton-on-Trent, DE13 0RB, Staffordshire, United Kingdom Corresponding Author: Dr Nonyelum Obiechina, Department of General Medicine and Geriatric Medicine, University Hospitals of Derby and Burton NHS Trust, United Kingdom; Email: nonye.obiechina@hotmail.co.uk Received: 28 March 2020 Accepted: 22 November 2020 Published: 30 December 2020 should alert clinicians to the possibility of concomitant pulmonary embolism.
Ultrasonic assisted polyol-reduction of HAuCl4 for nanoparticle decoration of multiwall carbon nanotubes

The decoration of carbon nanotubes with metallic nanoparticles has been extensively studied for different systems. Despite the fact that several routes are available for the production of these heterostructures, their complexity and large amount of different reagents severely hinder their applicability. In this study, we propose an alternative route based on an ultrasonic assisted polyol reduction, which requires lower temperatures and amount of reagents when compared to traditional methodologies. Furthermore, the used solvent (ethylene glycol) is more environmentally friendly than other common reagents, resulting in a less aggressive process. We observed that the proposed route provides the possibility of straightforwardly tune the final nanoparticle size by controlling simple parameters such as exposure time and relative reagent concentrations. Moreover, the influence of the bath temperature has been studied, finding an upper limit of 50 °C for the proposed methodology.
MICROLEAKAGE EVALUATION OF THREE GLASS IONOMER CEMENTS USED IN CHILDREN: IN-VITRO STUDY

Purpose: To assess in-vitro the marginal adaptation of three types of glass ionomer cements in in class V primary molars. Materials and Methods: The sample included thirty sound exfoliated or extracted primary molars for orthodontic purpose. The teeth were divided into 3 equal groups of 10 teeth each according to the type of the restorative material used. Group I were restored with ceramic reinforced glass ionomer, group II were restored with resin modified glass ionomer and group III were restored with conventional glass ionomer. After thermocycling, the teeth were immersed in 2% methylene blue solution for 24 hours, then they were sectioned buccolingually. The extent of dye penetration was detected using a stereomicroscope. Results: Ceramic reinforced glass ionomer showed the lowest mean microleakage value at both occlusal and gingival margins as compared to the other two groups with statistically significant difference. No statistically significant difference in the mean microleakage was recorded between the resin modified and conventional glass ionomers Conclusion: Ceramic reinforced glass ionomer revealed the highest sealing ability in class V primary molars when compared to the resin modified and conventional glass ionomer cements.
IoT in Supply Chain Management: Opportunities and Challenges for Businesses in Early Industry 4.0 Context

The Internet of Things (IoT) is a global network of smart devices that integrate physical and digital worlds. While the IoT is reported to be a foundation technology for the emerged Industry 4.0 era, empirical evidence related to IoT use in supply chain management is scant. This study, therefore, investigates the opportunities and challenges of IoT use in the supply chains using grounded theory based interviews with managers from the Australian retail industry. The thematic analysis using NVivo reveals that IoT deployment improves visibility of goods movement, data capture, partner communication, and business intelligence. However, retailers face challenges due to the lack of top management initiative, new technology acquisition cost, stakeholders' reluctance to accept change, unwillingness to share data, and inadequate interoperability between partner systems. The study offers a proof-of-concept of IoT benefits that strengthen the IoT-related investment decision, sheds light on adoption challenges and develops propositions for future research.
CHEMICAL REMEDIATION OF ZINC CONTAMINATED SOILS BY APPLYING A CEMENT-BROWN COAL-BASED COMPONENT (CEMBRO) CHEMICZNA REMEDIACJA GLEB ZANIECZYSZCZONYCH CYNKIEM PRZEZ ZASTOSOWANIE PREPARATU CEMENT-WĘGIEL BRUNATNY (CEMBRO)

Badania przeprowadzono w celu oceny efektywności cementu (CEM), wegla brunatnego (BC) oraz preparatu „CEMBRO” w procesie stabilizacji/remediacji gleb zanieczyszczonych cynkiem. Testowany preparat „CEMBRO” przygotowano w oparciu o cement i wegiel brunatny przy roznych stosunkach masowych. Do badan uzyto gleby silnie skazonej cynkiem przez dzialalnośc huty cynku i olowiu w Miasteczku Śląskim. Cement, wegiel brunatny i „CEMBRO” zastosowano w trzech dawkach 0; 0,5; 1,5 i 3,0% po czym obiekty inkubowano przez trzy miesiące. Efektywnośc stabilizacji/chemicznej remediacji oszacowano na podstawie: ● ilości ekstrahowanych biodostepnych (0,10 mola NaNO3 dm-3 = BioZn) i wymiennych (1 mola CH3COONH4 dm-3 = ExZn) form Zn, ● oceny zmian w kompleksie sorpcyjnym oraz ● wlaściwości buforowych gleb. Wyniki ujawnily, ze na obiektach, gdzie zastosowano 100% CEM oraz preparat „CEMBRO” z wiekszym udzialem CEM, odczyn mial decydujący wplyw na stabilizacje Zn. W razie zasto-
Spectroscopic techniques for the determination of the iron redox state of glass and their direct application in the glass factory

Some preliminary investigations are described in this paper to check whether the daily controlling of the redox state of glass can be performed directly in the glass factory using complementary techniques such as spectrophotometry and photoluminescence spectroscopy. The advantage of spectroscopic techniques with respect to the traditional wet chemical method is speed and simplicity of the measurement procedure (no specialised operators are required) once the whole procedure has been well established. However, the chemical method remains the absolute reference one to be used in cases of difficult interpretations (sudden variation of the redox state, unpredictable presence of other chromo phores, etc) or when initial calibrations of the spectroscopic techniques are required. These calibrations should be performed using glasses produced by the same factory with the highest possible variations in ferrous and ferric iron concentrations.
Contrasting regional variability of buried meltwater extent over two
years across the Greenland Ice Sheet

Abstract. The Greenland Ice Sheet (GrIS) rapid mass loss is primarily driven by an increase in meltwater runoff, which highlights the importance of understanding the formation, evolution and impact of meltwater features on the ice sheet. Buried lakes are meltwater features that contain liquid water and exist under layers of snow, firn, and/or ice. These lakes are invisible in optical imagery, challenging the analysis of their evolution and implication for larger GrIS dynamics and mass change. Here, we present a method that uses a convolutional neural network, a deep learning method, to automatically detect buried lakes across the GrIS. For the years 2018 and 2019, we compare total areal extent of both buried and surface lakes across six regions, and use a regional climate model to explain the spatial and temporal differences. We find that the total buried lake extent after the 2019 melt season is 56 % larger than after the 2018 melt season across the entire ice sheet. Northern Greenland observes the largest increase in buried lake extent after the 2019 melt season, which we attribute to late-summer surface melt and high autumn temperatures. We also provide evidence that different processes are responsible for buried lake formation in different regions of the ice sheet. For example, in western Greenland, buried lakes often appear on the surface during the previous melt season, indicating that these features form when surface lakes partially freeze and become insulated as snowfall buries them. In contrast, in southeast Greenland, most buried lakes never appear on the surface, signifying that these features may form due to subsurface penetration of shortwave radiation and/or downward percolation of meltwater. This study helps to provide additional perspective on the potential role of meltwater on GrIS dynamics and mass loss.
Evaluation of demographic, clinical and paraclinical features of children with Guillain-Barré syndrome

Introduction: Guillain-Barré syndrome (GBS) is an acute polyneuropathy accompanied by muscle weakness, myalgia, and bulbar involvement. Objectives: We evaluated demographic, clinical and paraclinical features of children with this disease. Patients and Methods: In this cross-sectional study, the data of 83 patients with GBS were studied. All data about age, gender, place of residence (urban, rural), season of infection, history of infection or vaccination in the last month, clinical demonstrations and spinal magnetic resonance imaging findings with contrast, electromyography (EMG), nerve conduction velocity (NCV), cerebrospinal fluid (CSF), C-reactive protein (CRP) analysis was analyzed. Results: In this study, the highest incidence of GBS was in the summer (30.12%). Regarding clinical symptoms, 54.21% of patients were unable to walk, and around14.45 % of cases had positive Gowers’ sign. Additionally, 27.71% of patients reported pain, since 7.22% of them had severe respiratory distress with the need for mechanical ventilation. In patients who underwent EMG-NCV, findings were in favor of GBS in most cases (89.83%). In lumbar puncture, 53% of patients had normal CSF. Most patients (75.9%) had an erythrocyte sedimentation rate (ESR) below 30 mm/h. CRP of most patients (83.33%) was less than 10 mg/L. Conclusion: The predominant clinical symptoms of patients with GBS are the inability to walk, imbalance, positive Gowers’ sign, pain and respiratory distress, since ESR and CRP less than 30 and 10 mg/L are helpful, respectively.
The impact of ethics and fraud pentagon theory on academic fraud behavior

This study aims to determine the impact of ethics, pressure, opportunity, rationalization, competence, and arrogance on accounting students' academic fraud behavior. The population of this research consists of UPN "Veteran" Yogyakarta accounting students. The number of samples used in this study was 170 respondents representing several criteria and have taken the Auditing I and Business Ethics courses. The dependent variable (Y) in this study is academic fraud behavior. The independent variables include ethics (X1), pressure (X2), opportunity (X3), rationalization (X4), competence (X5), and arrogance (X6). The method used in this research is the quantitative method. The data used were the primary data. The results of this study indicate that ethics, pressure, and competence have an impact on academic fraud behavior. In contrast, opportunities, rationalization, and arrogance do not affect academic fraud behavior.
The impact of cultural tourism experience on electronic word-of-mouth (e-WOM) and destination image

Tourism experience is considered highly essential in tourism studies but less attention to research has focused on cultural tourism experiences whereas has its idiosyncratic compared to other types of tourism. This study investigated the interrelationship among cultural tourism experiences, electronic word of mouth, and destination image. Empirical analysis based on data collected through online questionnaires from 134 tourists have been visited the religious-cultural tourism village Bongo in Gorontalo. PLS-SEM conducted to data analysis which showed that cultural tourism experience positively impacts on destination image and electronic word of mouth, also electronic word of mouth influence destination image. This research contributes to the body of knowledge on the role of tourism experience and its impact on future tourist behavior in the cultural tourism context. The theoretical and managerial implications of these findings are beneficial in designing strategies to leverage destination attractiveness
Quality Assurance and Safety of Crops & Foods

In this study, a computer vision system comprising of a special rice tray, scanner, and computer-aided processing software was developed to assess rice appearance quality. The applicability of the system was evaluated for assessment of four rice varieties. Rice grains were accurately (>98%) classified into whole and broken kernels regarding their dimensional features estimated precisely with coefficient of determination (R2) of more than 98% and root mean squared error of 0.08. Optimal thresholding on the vertical coefficient of wavelet transform resulted in fissure detection with an accuracy of 96.51%. Red and black spots of the rice kernels were also precisely detected by thresholding on the red colour difference and gray-scale components respectively. Results indicated that very high accuracies (R2 about 99%) were obtained for whiteness and chalkiness measurements. It was concluded that the image processing technique has a significant potential to be applied for appearance quality assessment of rice kernels.
Nutrition education with android-based application media to increase knowledge, attitudes, and behaviors of pregnant women about chronic energy deficiency (KEK)

Pregnant women are a very vulnerable group to nutritional problems. The lack of knowledge, attitude, and behavior towards nutrition is the main cause of KEK (chronic energy deficiency) in pregnant women. The purpose of this study was to design an android-based application based on a needs analysis to improve nutritional knowledge and attitudes of pregnant women about KEK. The research method was qualitative research, while the design used a combined method between Research and Development (RaD) and Pre-Experiment methods with one group pre-test and post-test designs. The results of the data analysis showed that the knowledge, attitudes, and behavior of pregnant women increased by 72%, 78%, and 39%, respectively. The p-value of the McNemar test results for the variables of knowledge, attitude, and behavior was 0.000 l? (0.05), indicating there were differences in the knowledge, attitude, and behavior of pregnant women before and after using the application (p l? ). It was concluded that nutrition education with Android-based application media influenced the knowledge, attitudes, and behavior of pregnant women, that is, to increase the knowledge, attitudes, and behavior of pregnant women about KEK in Meo – Meo Public Health center, Baubau City.
Prosthetic Joint Infection Microorganism Pattern and Risk Factor Profile: A Single Center Study

Methods: A retrospective review was performed by arthroplasty registry evaluation from 2008-2018, followed by medical record review and patient interview. Distribution of causative microorganisms, antibiotic resistance patterns, and onset of infection was extracted. Risk factor evaluation was performed by assessing preoperative (age, body mass index (BMI), comorbidities specifically type 2 diabetes) and perioperative parameters (duration of surgery, number of previous surgeries, interval between those surgeries).
Antenatal Intrauterine Fetal Demise: A Retrospective Observational Study in a Tertiary Care Hospital -

Submitted: 09 July 2020; Approved: 27 July 2020; Published: 28 July 2020 Cite this article: Thakur R, Gupta D, Gupta S, Malik S. Antenatal Intrauterine Fetal Demise: A Retrospective Observational Study in a Tertiary Care Hospital. Int J Reprod Med Gynecol. 2020;6(1): 016-019. Copyright: © 2020 Thakur R, et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. International Journal of Reproductive Medicine & Gynecology
Factors Affecting Energy Efficiency and CO2 Reduction in The Manufacturing Firms of Thailand

The current study investigated the effects of management commitment, energy awareness, energy knowledge, energy audit towards energy efficiency which was further examined towards CO2 reduction in manufacturing firms of Thailand. The sample of this study was gathered from manufacturing firms of Thailand and the sample size was 148 responses. The data was collected in a quantifiable manner and was analyzed using PLS-SEM. The paper should that energy audits have a positive and significant effect on energy efficiency. Energy awareness has a positive and significant effect on energy efficiency. Energy efficiency has a positive and significant effect on CO2 reduction. Energy knowledge has a positive and significant effect on energy efficiency. The management committee has a positive and significant effect on energy efficiency. Investing in human resource growth provides signs of determination to produce the desired results and, combined with administration encouragement and determination, the expected success can be achieved.