Miracle-dz/UniFAR-FTUs huggingface dataset:
Show Me the Data, Jerry! Data Visualization and Transparency.

aaa It is debatable whether or not science is progressive.1 Evidence of “p-hacking” and scientific bias exists.2,3 However, we can increase the likelihood that science remains or becomes progressive by increasing transparency and using practices that reduce the chance of scientific errors, such as unsound interpretation of data. Specifically, we would like to discuss the importance of data visualization and data transparency, an area of great evolutionary need in our expectations of contributions to the International Journal of Sports Physiology and Performance (IJSPP). Over the years, many fields have highlighted the importance of improving how scientists present data. In 2015, Weissgerber et al4 noted many issues in data visualization present in the top physiology journals after reviewing over 700 published articles. The recommendation to “encourage more complete presentation of data” is equally or possibly even more important for journals like IJSPP, where studies with small sample sizes are often published, such as those including an elite athlete population. Further, readers interested in studies that focus on the elite athlete are often interested in individual performance or n = 1 analysis alongside the performance of a team or the group response. There are numerous reasons why authors have failed to provide more transparent or complete data visualization practices. As noted by Weissgerber et al,4 a potential lack of specific scientific training on data presentation is likely a reason for the identified issues with data visualization in published research. Hence, the inspiration for this editorial is to increase awareness and to provide brief recommendations on data visualization in IJSPP. This briefing includes the ongoing requirement for skill development that supports transparent storytelling with data. The intention is not to vilify instances when authors may have improved their use of data visualizations or to assume that the use of an uninformative or inappropriately used bar plot was intentional. In fact, a principal barrier for the uptake of better data visualization practice is the systemic challenge of accessing data visualization software, a challenge that is being mitigated in the era of open source and open access software. Instead, this editorial is written in the spirit of Kaizen or the value in striving for continual improvement.
Understanding shared pathogenesis between chronic obstructive pulmonary disease (COPD) and lung cancer by means of cell specific genomics

Introduction: COPD (Chronic Obstructive Pulmonary Disease) and lung cancer are related conditions associated with inflammation. Relatively little focus has been given to the endothelium, through which inflammatory cells transmigrate to reach the lung. We sought to determine if coding and non-coding alterations in pulmonary endothelium exist in COPD and lung cancer. Methods: Patients with and without COPD undergoing thoracic surgery were recruited. Pulmonary Endothelial Cells were isolated from lung and tumour and extracted RNA (ribonucleic acid) used for miRNA (micro-RNA) and mRNA (messenger RNA) microarrays. Ingenuity pathway analysis (IPA) was also carried out. Results: 2071 genes and 43 miRNAs were significantly upregulated in COPD. 4 targets were validated by quantitative polymerase chain reaction, of which miR-181b-3p was chosen for functional validation. Another target, miR-429, was also increased in lung tumour. Several cancer-related pathways such as transforming growth factor- β were altered in the IPA. There was significantly reduced tube formation and endothelial sprouting in Human umbilical vein endothelial cells transfected with miR-181b-3p, consistent with an effect on angiogenesis. Conclusions: Upregulation of miR-181b-3p reduces tube formation and sprouting by endothelial cells. This might be significant in the development of emphysema as lung vasculature is important in the structural maintenance of alveoli.
The Effects of Environment Uncertainty and Leadership Styles on Organisational Innovativeness

The paper aims to better understand the importance of a company’s external environment uncertainty level and the CEO’s leadership style for innovation. Different leadership styles were assessed in the context of a full range leadership theory, namely: transformational (Tfl), transactional (Tsl) and passive leadership (PL). Partial Least Squares-Structural Equation Model was developed, tested and validated to explain the effect of environment uncertainty and leadership style on organisational innovativeness. The hypotheses were tested using responses of managers from 159 medium and large organisations in the Republic of Serbia during 2017. The results suggest that there is a statistically significant relationship between environment uncertainty and organisational innovativeness, while transformational leadership was described as important leadership style that cannot be ignored if organisation wants to improve organisational innovativeness. Influence of transactional leadership was not statistically significant, while passive leadership style was found to have the negative influence on organisational innovativeness. Based on the results of the study, practical implication of creating a more supportive workplace for all types of innovation is emphasised. Encouraging managers to predominantly use proactive leadership, i.e. transformational style, facilitates significant innovative capacity. The effective use of leadership style and its innovativeness in South-eastern European countries is vastly unexplored. Thus, the results of the research fill the literature gap between Western leadership theory and South-eastern European context.
Cloud Computing and its issues

: With the meaningful improvements in Information Technology, it is envisioned that computing facilities will be considered as a 5th utility of the life after the four main utilities i.e. Water, gas, electricity and telephony. This computing utility, will contribute the fundamental stages of computing jobs that is necessary to fulfil the day-to-day demands of the public. Various computing prototypes have been introduced and cloud computing is one of them. In this paper authors have described the cloud computing, various layers, models ,different cloud computing issues. Authors have also described load balancing and its techniques.
STREAMFLOW FORECASTING USING ENSEMBLE WAVELET NEURAL NETWORK MODELS

Streamflow forecasting studies have shown that data-driven models are simpler, faster to develop, and provide more accurate and precise results than physical or numerical-based models. In this study, three data-driven models were examined for the short-term forecasting of streamflow at Clearwater River in Alberta, Canada, for one-day, three-days, and seven-days lead-times. The three models are artificial neural network (ANN), two models that are based on de-noising the model predictors using the wavelet-transform (W-ANN), and bootstrap-wavelet-ANN (B-W-ANN) model. The total precipitation, air temperature, snow water, and relative humidity were used as predictors. The ANN model performed significantly better after de-nosing the predictors using wavelet-transforms. Overall, the B-W-ANN model performed best for each of the three lead-times. These results highlight the ability of wavelet-transforms to decompose non-stationary data into discrete wavelet-components, highlighting cyclic patterns and trends in the time-series at varying temporal scales, rendering the data readily usable in forecasting. The good performance of the B-W-ANN model highlights the usefulness of ensemble modeling, and ensuring model robustness along with improved reliability by reducing variance.
An Optimal Antenna Array Design for RSU Use of Dedicated Short Range Communications

The Department of Communications Engineering, Yuan Ze University 135 Yuan-Tung Rd., Chung-Li 320, Taiwan E-mail: hchou@saturn.yzu. edu.tw Fax: 886-3-455-4264 Abstract In this paper an antenna array is designed for the use of road-side units (RSU) in the dedicated short range communications (DSRC). The array employs four elements of Yagi type antennas printed on FR4 substrates to create a narrow beam width and the beam-scanning capability. To accelerate the design procedure and optimize the performance, the antenna is designed using a program based on an implementation of a genetic algorithm in conjunction with a commercial software to auto-adjust the geometric parameters of the antenna element. Simulated and measurement results agree very well and show distinguished antenna performances.
Activity of a selective insecticide (methoxyfenozide) against two mosquito species (Culex pipiens and Culiseta longiareolata): toxicological, biometrical and biochemical study

Methoxyfenozide is an insect growth disruptor belonging to the class of nonsteroidal ecdysone agonists. In the present study, methoxyfenozide (23% emulsifiable concentrate) is evaluated against newly molted fourth‐instar larvae of Culex pipiens L. and Culiseta longiareolata Macquart (Diptera: Culicidae), aiming to investigate its possible effects on growth and development. Larvae are exposed for 24 h under standard laboratory conditions in accordance with World Health Organization recommendations. The product is found to exhibit insecticidal activity against the two tested mosquito species with a concentration–response relationship. Moreover, based on the lethal concentrations determined, methoxyfenozide is slightly more toxic against C. pipiens than C. longiareolata. Furthermore, fourth‐instar larva of the two mosquito species are treated using two lethal concentrations (LC50 and LC90) of methoxyfenozide, and then individual survivals (larvae, pupae and adults) from larval treatment are subjected to a biometrical and biochemical study. The compound is found to interfere with growth by reducing the larval and pupal development duration. Moreover, the body volume and the main biochemical contents (proteins, carbohydrates and lipids) from different stages are affected. The overall results suggest that the ecdysone agonist under investigation interferes with the development process and has potential for mosquito control.
Train the lymphocyte!: exercise affects T cell life cycle throughout life

Na medida em que todas as obras da UC Digitalis se encontram protegidas pelo Código do Direito de Autor e Direitos Conexos e demais legislação aplicável, toda a cópia, parcial ou total, deste documento, nos casos em que é legalmente admitida, deverá conter ou fazer-se acompanhar por este aviso. Train the lymphocyte! : exercise affects T cell life cycle throughout life Autor(es): Krüger, Karsten Publicado por: Imprensa da Universidade de Coimbra URL persistente: URI:http://hdl.handle. net/10316.2/44068 DOI: DOI:https://doi.org/10.14195/2182-7087_ex2018_5
Population Growth Negatively Related to Technology and Its Growth

This Chapter states one lucky discovery that the less the rate of change in population the more the rate of technological progress in the endogenous-equilibrium. For example, if an annual growth rate of population of a country is beyond 3%, it is difficult for the country to maintain endogenous equilibrium moderately and sustainably. Adversely, even if an annual growth rate of population of a country is minus 0.5%, it is all right for the country to maintain endogenous equilibrium moderately and sustainably. This discovery commonly works in developing and developed countries. This discovery simultaneously realizes stop-macro inequality since the level of the relative share of capital is indifferent from inequality. This discovery eventually follows the law of the Nature. This discovery is cyclical and peaceful with limited resources of the Earth, because the rate of technological progress is essentially accelerated by limited resources.
Macrophage imaging and subset analysis using single-cell RNA sequencing

Macrophages have been associated with drug response and resistance in diverse settings, thus raising the possibility of using macrophage imaging as a companion diagnostic to inform personalized patient treatment strategies. Nanoparticle-based contrast agents are especially promising because they efficiently deliver fluorescent, magnetic, and/or radionuclide labels by leveraging the intrinsic capacity of macrophages to accumulate nanomaterials in their role as professional phagocytes. Unfortunately, current clinical imaging modalities are limited in their ability to quantify broad molecular programs that may explain (a) which particular cell subsets a given imaging agent is actually labeling, and (b) what mechanistic role those cells play in promoting drug response or resistance. Highly multiplexed single-cell approaches including single-cell RNA sequencing (scRNAseq) have emerged as resources to help answer these questions. In this review, we query recently published scRNAseq datasets to support companion macrophage imaging, with particular focus on using dextran-based nanoparticles to predict the action of anti-cancer nanotherapies and monoclonal antibodies.
A hybrid statistical empirical mode decomposition with neural network in time series forecasting

Scope Extending of Empirical Mode Decomposition called Statistical Empirical Mode Decomposition (SEMD), recently proposed by Kim et al . (2012) invented a new data analysis technique for nonlinear and non-stationary time series. By breaks a time series into a small number of independent and concretely implicational intrinsic modes functions based on scale separation, SEMD explains the generation of time series data from a novel perspective. This study illustrates a statistical empirical mode decomposition based on neural network learning paradigm (SEMD-NN) for forecasting Egypt stock market. By the criteria of some statistic loss functions, SEMD-NN outperforms Holt-winters family model, empirical mode decomposition based on neural network (EMD-NN) and ensample empirical mode decomposition and neural network (EEMD-NN) in improving forecast accuracy.
Practical Optimal Control of a Wave-Energy Converter in Regular Wave Environments

A generic formulation for the optimal control of a single wave-energy converter (WEC) is proposed. The formulation involves hard and soft constraints on the motion of the WEC to promote reduced damage and fatigue to the device during operation. Most of the WEC control literature ignores the cost of the control and could therefore result in generating less power than expected, or even negative power. Therefore, to ensure actual power gains in practice, we incorporate a penalty term in the objective function to approximate the cost of applying the control force. A discretization of the resulting optimal control problem is a quadratic optimization problem that can be solved efficiently using state-of-the-art solvers. Using hydrodynamic coefficients estimated by simulations made in WEC-Sim, numerical illustrations are provided of the trade-off between careful operation of the device and power generated. Finally, a demonstration of the real-time use of the approach is provided.
Expression of podoplanin in predicting the biological behavior of oral squamous cell carcinoma – A clinicopathological correlation

Background: Podoplanin is a mucin-like transmembrane glycoprotein that been highly and specifically expressed in the lymphatic endothelial cells, but not in the endothelium of blood vessels. Studies have shown that podoplanin expression in tumor cells including those of squamous cell carcinomas and a relationship with the clinicopathological features. This raises a possibility that podoplanin might have a biological function in oral squamous cell carcinoma and its expression could be used as a biomarker for diagnosis and prognosis. Methods: Formalin-fixed paraffin-embedded tissue blocks and histopathology reports of 50 cases of OSCC were used in this study. These were evaluated immunohistochemically for the expression of podoplanin using D2-40, a monoclonal antibody. The association between podoplanin expression and tumor site, size and degree of differentiation, lymph node metastasis, and prognosis was analyzed. Results: In this study, we observed that podoplanin was highly expressed in OSCC, but we found no significant association between podoplanin expression and clinicopathological characteristics and survival. Conclusion: The role of podoplanin as a marker for lymph node metastasis is questionable. To determine the role of podoplanin as a prognostic marker, further prospective studies are required with a longer follow-up period. Further studies using a combination of markers are required to predict tumor invasiveness and occult metastasis in OSCC.
To Study the Impact of Glyphosate on Chlorophyll Content of Crops

Glyphosate is the widely used herbicide to control a broad spectrum of plants including annual and perennial grasses, broadleaf weeds, trees and shrubs around the world.When spray applications of the glyphosate contact the crop, great damage can occur and is of great concern to aerial applicatorsand farmers. In non-glyphosateresistant crops (non-GR), glyphosate causes ametabolic disturbances and reduction in chlorophyll content. The damage can drastically reduce crop yield and growth for an extended period of time. Chlorophyll content of a leaf is always a good indicator of photosynthesis activity, stress and nutritional state and is of unique significance to precision agriculture. Given that recommended doses of glyphosate are generally higher than needed to control weeds. The most prudent approach to reduce the adverse effects of glyphosate on glyphosate-resistant (GR) crops will be to use this herbicide in as small a dose as almost needed. This paper states the work that is done on different crops at different places to observe the effects of glyphosate on crop leaves. The authors used different spectral indices to measure the chlorophyll content and to distinguish the healthy and injured leaves.
Metal-assisted chemical etching of silicon with deposited Ag nanoparticles aiming for functional surfaces

Metal-assisted chemical etching is one of the anisotropic etching processes of silicon. The major characteristic is site-selective process due to catalytic reaction at the contact point between noble metal and silicon, and a high-aspect ratio can be obtained. This paper aims to make clear the possibility of the metal nanoparticle deposition and its effect on the etched profiles including an application to the production of hydrophobic surfaces. Suspension that contains silver-nanoparticles was dropped on a silicon substrate. By changing the particle concentration, the coverage of the particles could be controlled. Then, the effect of etchant condition, mixture of fluoric acid and hydrogen peroxide water, on the etching rate and final profile was made clear. It was found that an array of nanopores or nanopillars were produced and the aspect ratio reached about 40. Since steep cross-sectional profile can change the wettability of the surface, its effect on the contact angle of water droplet was examined. By applying nanostructure on the substrate, the contact angle increased up to 126 degrees while that without structure was 58 degrees. Metal-assisted chemical etching, silicon, structured surface, aspect ratio, wettability
A Novel Compact UWB Antenna with Triple Band-Notches for WiMAX/ WLAN/ ITU Bands

─ A novel compact Ultra-Wideband (UWB) antenna with triple band-notched characteristics is presented. The antenna patch consists of several circular rings and a small circle. The antenna has a compact size of 25 × 20 mm 2 , which has been printed on a Rogers RO4003 substrate. Moreover, the proposed antenna has been successfully fabricated and measured, showing broadband matched impedance (2.8 up to more than 20GHz, VSWR≤ 2); almost stable gain and good omnidirectional radiation patterns.
Micrite Crusts on Ladinian Foreslopes of the Dolomites Seen in the Light of a Modern Scenario from the Red Sea

Shallow water carbonate environments are characterized by high rates of microbial carbonate production, whereas deeper forereef environments are commonly interpreted to be dominated by low rates of in situ carbonate production. In this paper we document two examples of in situ carbonate formation below the euphotic zone: middle Triassic clinoforms and reef blocks of the Dolomites and the Quarternary record of the Red Sea. Thus, in situ production in fore reef settings may be more important than previously recognized. In both cases carbonate accretion is restricted to steep surfaces being elevated from the surrounding sea floor such as submarine cliffs or allochthonous reef blocks-and being thus protected from burial by sediment. Carbonate accretion is mainly horizontal resulting in ledges protruding from the slope, because a cover of shallow water derived sediment inhibits upward growth. Although microfabrics in general are very similar, distinctions due to varying ratios of constituents and bioerosion exist. Triassic ledge rock from the Dolomites is characterized by loose fabrics of spongiostromate crusts with minor contributions by framebuilders such as calcisponges, corals or Tubiphytes. In the Red Sea the framework is the result of competitive incrustation by serpulids or solitary corals and biodestruction by various borers. Laminar micrite crusts are found only on top of this framework. Common to both examples is extensive cementation by botryoidal aragonite. Radiocarbon dating and oxygen isotope signatures suggest that the Red Sea crusts formed during the highest rate of Holocene rise of sea level associated with low rates of sediment exportation. Because the presence of an extensive sediment cover seems to represent the major controlling factor on ledge development, we propose that the Triassic crusts formed during phases of minimum export of shallow water carbonate sediment particles, such as the lowstand or transgressive systems tract of seismic stratigraphy.
R Differences in Characteristics of eligious Groups in India: As Seen From Household Survey Data

Characteristics of religious groups are an important area that needs to be studied in order to improve the effectiveness of policies aimed at reducing the fertility rate. This paper analyzes the socio-economic characteristics of the religious groups, Hinduism, Muslim, Christianity, and Sikhism, by using a large micro level household survey data set for India. The paper analyzes the characteristics among religious groups not only in terms of averages of religious households but also by using regression models. According to the results of the analyses, there are considerable differences in the socio-economic characteristics among religions. What factors lead to these different characteristics is an important question to be addressed in future studies. The results of this study imply that different policies are needed for different religious groups in order to improve their household conditions and wellbeing.
Performance Analysis of a Photovltaic System Koya-Kurdistan of Iraq

Designing Photovoltaic (PV) systems need a lot of analysis of their performance indicators. They cover some important factors, such yield factor, reference yield, performance ratio, and capacity factor. Only figures from these factors decided whether a PV system can effectively work in an area or not. This study analyzed the radiation rate and the performance indicators for Koya city, as a case of study. The study deigned a 200 KW ground mounted PV based on the average radiation rate using PhotoVoltage Geographical Information System (PVGIS) simulation software. The final system yield of this designed system is (1699 hours), and its capacity factor is (19.39%), which is considered