Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of Photobiomodulation and its Application in Retinal Diseases

Photobiomodulation (PBM) is a therapeutic approach that utilizes low-energy laser or light to regulate biological tissues. The mechanism is to promote cytochrome C oxidase (CCO) through low energy light, regulate the REDOX of mitochondria, and then regulate the biological functions of tissues and cells. Compared with traditional laser, it has a higher safety. There are a large number of mitochondria in retinal tissue, and studies have shown that PBM has a good protective and regulatory effect on the mitochondrial functions of retina and optic nerve. Therefore, PBM is clinically applied to treat age-related macular degeneration, diabetic retinopathy and retinitis pigmentosa and other retinal diseases. In order to provide a new direction for the treatment of retinal diseases, this paper reviewed the main parameters, mechanisms and the research progress of PBM in the fundus indications.
Do More School Resources Increase Learning Outcomes? Evidence from an Extended School-Day Reform

IZA DP No. 14240 MARCH 2021 Do More School Resources Increase Learning Outcomes? Evidence from an Extended School-Day Reform* Whether allocating more resources improves learning outcomes for students in lowperforming public schools remains an open debate. We focus on the effect of increased instructional time, which is theoretically ambiguous due to possible compensating changes in effort by students, teachers or parents. Using a regression discontinuity approach, we find that a reform extending the school day increases math test scores, with a large effect size relative to other interventions. It also improved reading, technical skills and socioemotional competencies. Our results are partly explained by reductions in home production by students, specialization by teachers and investments in pedagogical assistance to teachers. JEL Classification: I2, I22, I26
Effect of Entrepreneurial Orientation on Organizational Performance within Abu Dhabi National Oil Company

Entrepreneurial Orientation has been garnering increasing attention among circles of academics and practitioners throughout the past years. Regardless of the varied studies evaluating the effect of Entrepreneurial Orientation on an organizational performance, the findings are still mixed. The main objective of this study is to explore the impact of EO on the organizational performance. Data collected using questionnaire and final sample used for analysis was 215. SEM-VB via SMART PLS 3.0 software was employed to computer the importance of the relationship between the resultant factors that were evaluated in the current study. Results of the current study revealed that Entrepreneurial Orientation exhibits significant direct positive impact on the organizational performance in the context of ADNOC in the UAE. The proposed model, which was provided with the evidences from data collected from the goodness-of-fit of the model, Entrepreneurial Orientation exhibited 72% variance in the performance level of an organization. The findings of the present research work will provide in-depth analytical idea about the organizational performance.
Energetic aspects of oak and larch pellets obtained from sawdust waste improved by torrefaction

Abstract. This paper aims to present the energetic problems of two lignocellulosic biomasses in the form of pellets. The main energetic characteristics of lignocellulosic biomass, such as calorific value, ash content, and calorific density are presented as a comparison between oak and larch sawdust biomass. Methodology and installations for torrefaction and determining the main calorific features are presented. From an experimental point of view it was shown that the oak and larch pellets obtained within the paper had small differences in density, but after the torrefaction treatment they considerably increased the calorific value. There have been observed increases of up to 30% of the calorific value, both for oak and larch sawdust. The final conclusion of the paper is that although the role of vegetal biomass has diminished significantly in the last few years, it has not yet said its last word. The role of lignocellulosic biomass, as a sustainable fuel, will increase as fossil fuel amounts will be diminish, and when the world's population will realize that fossil fuels are exhaustible and that others type of fuels have to be replaced instead.
Improving our knowledge of drought-induced forest mortality through experiments, observations, and modeling

Regional and continental-scale forest and woodland mortality appears to be accelerating over recent decades (Allen et al., 2010; Peng et al., 2011). These contemporary increases in mortality are just the beginning, as temperature is rising rapidly and global models predict a large decline in the strength of the terrestrial carbon sink over the next century (Arora et al., 2013). Even if precipitation variability remains similar to historical patterns, chronic warming (and warming-associated extremes (Reichstein et al., 2013)) raise the likelihood of mortality through direct impacts on autotrophic respiration and on the growth of biotic agent populations, and indirect effects on stomatal conductance via rising vapor pressure deficit (VPD), thus impacting plant hydraulics and metabolism (Breshears et al., 2013; Williams et al., 2013). Although globally averaged Penmen–Monteith estimates suggest little change in terrestrial water balance in recent decades, many regions have indeed experienced a substantial increase in drought (Sheffield et al., 2012; Williams et al., 2013). From a forest’s perspective, drought may not be dictated via a strict Penman– Monteith framework due to nonlinear plant physiological interactions with meteorology, potentially explaining some disproportionately strong regional growth and mortality responses to rising VPD (Liu et al., 2013;Williams et al., 2013). The consequences of forest mortality include large climate feedbacks (Adams et al., 2012; Maness et al., 2012; Jiang et al., 2013), impacts on community composition (Redmond & Barger, 2013), soil biochemistry (Cobb et al., 2013) and the availability of fuel wood and food in developing nations (Anderegg et al., 2012a). The rapid growth in awareness of drought-induced forest mortality has substantially increased the magnitude of research on this topic. Between 2002 and 2012, the number of publications on ‘drought-induced mortality’ or ‘drought mortality’ and ‘vegetation’ and ‘plant’ (excluding the category ‘medical’) has risen by 355% (18 in 2002 to 82 in 2012), resulting in the diversification of our approaches and subsequent scientific breakthroughs. Because mortality processes scale across time and space, research has necessarily integrated scientific disciplines such as physiological ecology, remote sensing, and modeling, thereby generating greater understanding of the mechanisms of mortality and potential consequences for ecosystem function. In this piece introducing the New Phytologist ‘Drought-induced Forest Mortality’ Feature Issue, we present some recent advances in forest mortality research. But first we highlight two notable challenges to this field: the dichotomy of drought vs pestand pathogen-killed trees, and the trade-offs associated with doing laboratory studies on small plants vs field studies on mature trees.
Network Classiﬁcation and Categorization Paper

Networks are often labeled according to the underlying phenomena that they represent, such as re-tweets, protein interactions, or web page links. Our research seeks to determine if we can use machine learning techniques to gain a better understanding of the categories of networks on the Network Repository (www.networkrepository.com) and then classify the unlabeled networks into categories that make sense. It is generally believed that networks from diﬀerent categories have inherently unique network characteristics. Our research provides conclusive evidence to validate this belief by presenting the results of global network clustering and classiﬁcation into common categories using machine learning algorithms. The machine learning techniques of Decisions Trees, Random Forests, Linear Support Vector Classiﬁca-tion and Gaussian Na¨ıve Bayes were applied to a 14-feature ‘identifying vector’ for each graph. During cross-validation, the best technique, Gaussian Na¨ıve Bayes, achieved an accuracy of 92.8%. After training the machine learning algorithm it was applied to a collection of initially unlabeled graphs from the Network Repository (www.networkrepository.com). Results were then manually checked by determining (when possible) original sources for these graphs. We conclude by examining the accuracy of our results and discussing how future researchers can make use of this process.
A Clinico-pharmacological Study on Effect of Methylprednisolone in Acute Respiratory Distress Syndrome Patients

Background: Acute respiratory distress syndrome (ARDS) is as an acute condition characterized by bilateral pulmonary infiltrates and severe hypoxemia in the absence of evidence for cardiogenic pulmonary edema. The diagnosis is based on the ratio of the partial pressure of oxygen in the patient’s arterial blood (PaO2) to the fraction of oxygen in the inspired air (FiO2); therefore, ARDS was defined by a PaO2/FiO2 ratio of <200, and in acute lung injury, it was <300. Late phase ARDS results due to inflammation and corticosteroids are considered as rescue therapy to improve oxygenation and hemodynamics in patients. Aim of the Study: The aim of this study is to evaluate the effect of methylprednisolone in early ARDS in regard to outcome, incidence of infection, organ dysfunction, D-dimer, C-reactive protein (CRP), protein C, and protein S. Materials and Methods: A total of 49 adult patients with ARDS were included. Group A patients (24) were administered methylprednisolone, and Group B patients (25) did not receive methylprednisolone. All the patients were diagnosed based on AmericanEuropean Consensus Conference (AECC), Berlin and Kigali criteria for ARDS. History taking, clinical examination, radiological tests, blood investigations (CBC–LFT–RFT–electrolytes), arterial blood gase (ABG), serum lactate, international normalized ratio, fibrinogen, and aPTT, CRP, protein C, protein S, and D-dimer were undertaken before and after treatment with methylprednisolone. Observations and Results: There were 49 patients with ARDS included in the study. The study group consisted of 24 (48.97%) patients, and the control group was 25 (51.02%) patients. 15 were males (62.32%) and 9 (37.50%) females in the study group. 16 were males (64%) and 9 females (36%) in the control group. The mean age in the study group was 44.12 ± 10.75, and the mean in the control group was 48.5 ± 11.26. Hospital-acquired Pneumonia (HAP), trauma, and community-acquired pneumonia (CAP) as the cause of ARDS were observed in 21.16%, 37.05%, and 33.33%, respectively, in the study group. The incidence of HAP, ,trauma and CAP was 32%, 32%, and 36%, respectively, in the control group. Conclusions: Including methylprednisolone in addition to regular ventilator support and treatment protocol of ARDS patients, when used on first 7 days, improves the LIS, decreases the systemic inflammation, allows earlier extubation from mechanical ventilation, and decreases the incidence of hospital-acquired infection.
Hawaiian Basalt Characterization and the Effects of Chemical Composition Variances on the Sintering Process; Potential Implications for Lunar/Mars ISRU Applications

In Situ Resource Utilization (ISRU) refers to the ability to utilize local resources found in an area of interest. In space exploration and settlement, ISRU aims to utilize resources found on the moon and Mars to build infrastructure, thereby reducing the need for materials from Earth. Consequently, there is a high degree of interest in lunar and Mars regolith as a source for construction materials and volatiles extraction. Sintering is one proposed method to produce a manufacturing and/or construction material feedstock using lunar and Martian regolith. The Pacific International Space Center for Exploration Systems (PISCES) in collaboration with NASA’s SwampWorks successfully developed interlocking tiles made with sintered basalt from a quarry on the island of Hawaiʻi. Hawaiʻi’s basalt has chemical properties similar to those of lunar and Martian regolith. PISCES has developed sintered materials under two different thermal profiles (1,149 °C & 1,177 °C) using basalt feedstock. The structural properties of this material exceeded the strength of both residential and specialty concrete. PISCES has continued researching basalt sintering since its project with SwampWorks, characterizing basalt samples from multiple locations on Hawaiʻi island. Chemical analyses have revealed a significant variation in composition among basalts based on their source, age and flow they originated from. These samples were sintered using the two aforementioned temperature profiles to determine how their varying chemical compositions affect the resulting product. The results show that chemical composition plays a significant role in the quality of the final sintered material. While some samples produce exceptionally durable blocks, others result in materials that would not function well for manufacturing or construction. Identifying desirable basalt characteristics for sintering will aid in the search for locations and sources of optimal basalt regolith for sintering on the moon and Mars. Moving forward, thin section analysis, X-Ray Diffraction (XRD) and more structural testing is needed to better characterize the relationship between regolith composition and sintering quality. IAC-19, A3, IP,4, x 51376 Page 2 of 15 IAC-19, A3, IP, 4, x 51376 Keyword: ISRU, Sintering, Basalt, Chemical composition, Mineralogical Composition, Olivine Porphyries
G RAPH SAD: L EARNING G RAPH R EPRESENTATIONS WITH S TRUCTURE -A TTRIBUTE D ISENTANGLEMENT

Graph Neural Networks (GNNs) learn effective node/graph representations by aggregating the attributes of neighboring nodes, which commonly derives a single representation mixing the information of graph structure and node attributes . However, these two kinds of information might be semantically inconsistent and could be useful for different tasks. In this paper, we aim at learning node/graph representations with S tructure-A ttribute D isentanglement ( GraphSAD ). We pro-pose to disentangle graph structure and node attributes into two distinct sets of representations
Dominant Instructional Practices and their Challenges of Implementation in Integrated STEM Education: A Systematic Review with the Way Forward

STEM education plays an important role in 21-century learning. It is believed that the use of appropriate and effective instructional practices in STEM education can raise the students’ interest and academic achievement in science, technology, engineering and mathematics. Thus, this study intended to investigate the most utilized strategy among various types of instructional practices used for integrated STEM education in secondary school to promote teachers and students’ interest. It employs a systematic review of 10 selected articles from the year 2011 to 2018. Four most visited search engines were used to search for related articles published. The search process was executed in two phases. A total of 11,342 papers were obtained from the first phase searching result in which after series of screenings, the result was narrowed to 10 articles in the second phase. In the second phase, these 10 articles were analyzed based on the challenges encountered by teachers in implementing the STEM approach and various types of instructional practices used for integrated STEM education. The result of the analysis revealed that the most challenges encountered by teachers in implementing the STEM approach were the negative perception related to time, resources and knowledge constraints. Moreover, the findings indicate that the dominant instructional practice preferably used in secondary schools integrated STEM education was project-based learning (PjBL) where the combination of four disciplines can be integrated into an authentic problem or project. Suggestions made focus on a variety of approaches with detailed content and lesson plan to guide implementation of integrated STEM education.
Development of LWIR-based Advanced Acceleration Technology to Serve the Next Generation of Colliders

Next Generation of Colliders N. Vafaei-Najafabadi*1,2, V. Litvinenko1,2, Y. Jing1,2, I. Pogorelsky2, M. Polyanskyi2, M. Fedurin2, M. Babzien2, R. Kupfer2, M. A. Palmer2, A. Sahai3, A. G. R. Thomas4, C. Joshi5, G. Andonian5, Y. Sakai5, J. Rosenzweig5, R. Zgadzaj6, M. C. Downer6, S. Mirov7, C. G. R. Geddes8, C. Schroeder8, E. Esarey8 1Stony Brook University, 2Brookhaven National Laboratory, 3University of Colorado, Denver, 4University of Michigan, 5University of California, Los Angeles, 6University of Texas, Austin, 7University of Alabama, 8Lawrence Berkeley National Laboratory
ANALYZING ECONOMIC VALUE ADDED (EVA) AND MARKET VALUE ADDED (MVA) PERFORMANCE MEASURES OF THE SELECTED INFORMATION TECHNOLOGY COMPANIES IN INDIA

The study attempts to analyze the shareholders' value using Economic Value Added (EVA) and Market Value Added (MVA) performance measures on the selected Information Technology (IT) companies in India. It provides the ranking and classification of the selected IT companies in India based on MVA and EVA measures. A sample of 119 Information Technology companies in India has been selected using the Capitaline Database for the year 2009 to 2017. The study found that in totality, all + the selected Information Technology companies were value creators (EVA ) except a few companies which were neither value creator nor value destroyer (EVA=0). + + Accordingly, almost 45% (i.e., EVA and MVA ) of the companies are value creators + - as well as wealth creators, while 55% of the IT companies (EVA and MVA ) are performing well. Still, the market is not optimistic about these companies. The IT giants like Wipro Ltd., HCL Technologies Ltd., Tech Mahindra Ltd., Tata Consultancy Services Ltd. , and 3i Infotech Ltd . BPO have emerged as the best-performing companies in India. The in-depth analysis based on EVA and MVA of the selected companies will provide insights into the Information and Technology sector to help the investors in their decision to invest in this sector.
Veriﬁcation of Scheduling Properties Based on Execution Traces

Despite the use of scheduling analysis when designing hard real-time systems, some erroneous temporal behaviors may still occur at runtime. Monitoring the execution of the system during runtime is a way to spot faulty behaviors. We focus on inline and embedded monitoring for the veriﬁcation of general but essential temporal properties: scheduling properties. This paper presents an approach for the temporal scheduling properties veriﬁcation part of monitoring. The proposed algorithm has been evaluated on a benchmark, detecting missed deadlines, priority inversions, deadlocks and locked resources, in keeping with scheduling analysis and simulation results.
Export Potential Development and Export Diversification of Fruit and Vegetable Products in Uzbekistan`S Economy

Introduction Uzbek fruit and vegetables are renowned for their excellent taste and the abundance of vitamins. Uzbekistan has very favorable natural conditions for cultivation of the most valuable varieties of thermophile grapes and fruits, including apricots, peaches, pomegranates, figs, cherries, apples, pears, almonds, quinces, plums etc. Five priority directions of the development of the Republic of Uzbekistan in 2017-2021 is the Strategy for Action, which envisages the rapid development of the economy and measures to increase the export potential. For the purpose of raising the competitiveness of fruits and vegetables export, including the establishment of export credits, insurance systems and export guarantees, the main directions of government support for the fruit and vegetable growing sector are the legal the normative documents. According to the Decree of the President of the Republic of Uzbekistan from September 19, 2016 “About additional measures on stimulation of export of fruits, vegetables, melons and gourds” No PP-2603 and June 21, 2017 “Local export the Resolution of the Cabinet of Ministers of the Republic of Uzbekistan No PP-3077 “. [1]On further measures for further support of organizations and improvement of foreign economic activity” further liberalization of foreign economic activity, stimulation of increase of export deliveries, increasing the competitiveness and financial sustainability of businesses, overcoming excessive and obsolete permits, and improving the business environment. From July 1, 2017, they are changes in the order of export of fruits and vegetables: Business entities are permitted to export direct fruits and • vegetables, grapes and melons and gourds, on a contract basis, with pre-payment of 100%; exports of machinery, equipment and machinery that have • been in use for a period of five years from the time of their manufacture are issued without government approval; terms of registration of the issued and produced goods • conformity certificate have been reduced to three working days. Over the last 20 years, world consumption of fruits and vegetables has grown by an average of 5-7% per year. Uzbekistan produces more than 20 million tons of fruit and vegetable products annually and around 700,000 tons of which are exported. Currently, over 160,000 farms operate in the country, which supply domestic and foreign markets with quality fruits and vegetables. Overall capacity of the country’s storage facilities is 975 thousand tons of products, including storage capacity of 502 thousand tons provided by modern cold storage facilities[2]. Uzbekistan, not coincidentally, became one of the 14 countries that have received awards for achieving the Millennium Development Goals in the area of food security by the Food and Agriculture Organization[3].
Organizational Innovative Climate as a Predictor of Innovative Behaviour among Engineers in the Electrical and Electronic Manufacturing Industry

Innovative behaviour is empirically proven to be a critical element for organizations in order to remain competitive in the global market. Based on literature, organizational innovative climate has been found to influence innovative behaviour among employees. The current study seeks to investigate the relationship between the two variables within the context of the electrical and electronic (E & E) manufacturing sector in Malaysia. The respondents for the study are engineers employed in the E and E sector. Data was collected from 309 respondents through structured questionnaire. The results of the analysis indicated support for the dimensions of support for innovation and performance orientation.