Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Potassium Humate and Levels of Potassium Fertilization on Growth, Yield and Nutritional Status of Tomato Plants

Field experiments were conducted in sandy soil opened field at Nubaria, Egypt under drip irrigation system. The study aimed to rationalize rates mineral potassium fertilizer by partial replacing it with low quantities by spraying organic potassium fertilizer contains a high concentration of potassium. So, the effect of soil and foliar potassium fertilization on vegetative growth, total yield and nutritional status of tomato plants were studied. Three levels of potassium fertilization were applied using 60, 90 and 120 Kg K O per feddan which 2 represent 50, 75 and 100 % of the recommended fertilizer. In addition, three concentrations of K-humate (20 % K O) using 0.5, 1 and 1.5 g/L were applied as foliar spray. Results showed that the reduction in the added 2 potassium fertilizer (50 and 75 % of the recommended dose) significantly decreased growth characteristics, quality and quantity of tomato yield. Increasing the concentration of sprayed potassium humate on tomato plants led to improve growth and yield of tomato. Also, reducing potassium fertilizer rate has an effect on the uptake of nitrogen, phosphorus and potassium in tomato leaves at the two growing seasons. Similarly increasing the concentration sprayed of potassium humate increased the amount of nutrients uptake inside tomato leaves. It can be said that potassium in the form of an organic chelate (humate) can be used as a partial supplement inexpensive source for potassium fertilization and it can be used as a spray on the leaves, as it greatly and morally helps the growth and different yield characteristics of tomato plants grown in sandy soil.
A Descriptive Analysis For Tlc And Rbc For Type 2 Diabetic

Chandra Sekhar A. , Bhanu Prakash G. , Sesha Pavani G. Department of Physiology, Sri Balaji Medical College, Renigunta, Tirupathi, Andhra Pradesh, India. Department of Physiology, Sri Balaji Medical College, Renigunta, Tirupathi, Andhra Pradesh, India. Department of Physiology, Sri Balaji Medical College, Renigunta, Tirupathi, Andhra Pradesh, India. Dr.A. Chandra Sekhar EMAIL: dracs687@gmail.com Abstract
In-situ soil sensing for planetary micro-rovers with hybrid wheel-leg systems

Rover missions exploring other planets are tightly constrained regarding the trade-off between safety and traversal speed. Detecting and avoiding hazards during navigation is capital to preserve the mobility of a rover. Low traversal speeds are often enforced to assure that wheeled rovers do not become stuck in challenging terrain, hindering the performance and scientific return of the mission. Even such precautions do not guarantee safe navigation due to non-geometric hazards hidden in the terrain, such as sand traps beneath thin duricrusts. These issues motivate the research of the interaction with rough and sandy planetary terrains of conventional and innovative robot locomotion concepts. Hybrid wheel-legs combine the mechanical and control simplicity of wheeled locomotion with the enhanced mobility of legged locomotion. This concept has been rarely proposed for planetary exploration and the study of its interaction with granular terrains is at a very early stage. This research focuses on advancing the state-of-the-art of wheel-leg-soil interaction analysis and applying it through in-situ sensing to simultaneously improve the speed and safety of planetary rover missions. The semi-empirical approach used combines both theoretical modelling and experimental analysis of data obtained in laboratory and field analogues. A novel light-weight, low-power sensor system, capable of reliably detecting wheel-leg sinkage and slippage phenomena on-the-fly, is designed, implemented and tested both as part of a simplified single-wheel-leg test bed and integrated in a fully mobile micro-rover. Moreover, existing analytical models for the interaction between deformable terrain and heavily-loaded wheels or lightly-loaded legs are adapted to the generalised medium-loaded multi-legged wheel-leg case and combined into hybrid approaches for better accuracy, as validated against experimental data. Finally, the soil sensor system and analytical models proposed are used to develop and prove the effectiveness of different solutions for soil characterisation, trafficability assessment and terrain classification based on non-geometric physical properties.
Pulmonary drug delivery and retention: A computational study to identify plausible parameters based on a coupled airway-mucus flow model

Pulmonary drug delivery systems rely on inhalation of drug-laden aerosols produced from aerosol generators such as inhalers, nebulizers etc. On deposition, the drug molecules diffuse in the mucus layer and are also subjected to mucociliary advection which transports the drugs away from the initial deposition site. The availability of the drug at a particular region of the lung is, thus, determined by a balance between these two phenomena. A mathematical analysis of drug deposition and retention in the lungs is developed through a coupled mathematical model of aerosol transport in air as well as drug molecule transport in the mucus layer. The mathematical model is solved computationally to identify suitable conditions for the transport of drug-laden aerosols to the deep lungs. This study identifies the conditions conducive for delivering drugs to the deep lungs which is crucial for achieving systemic drug delivery. The effect of different parameters on drug retention is also characterized for various regions of the lungs, which is important in determining the availability of the inhaled drugs at a target location. Our analysis confirms that drug delivery efficacy remains highest for aerosols in the size range of 1-5 μm. Moreover, it is observed that amount of drugs deposited in the deep lung increases by a factor of 2 when the breathing time period is doubled, with respect to normal breathing, suggesting breath control as a means to increase the efficacy of drug delivery to the deep lung. A higher efficacy also reduces the drug load required to be inhaled to produce the same health effects and hence, can help in minimizing the side effects of a drug.
COMMENTS ON THE ATMOSPHERIC CORRECTION FACTORS OF THE NEW IEC 60060-1 (2010) STANDARD

In this paper remarks on the correction procedure for atmospheric conditions of the new edition of the standard IEC 600060-1 Ed. 3, 2010 are made, some on the characteristics of an appropriate correction factor, others on the numerical example of its Appendix E and finally on the proposal for a simple and practical correction factor. The IEC procedure considers the correction factor as a function of the same voltage to be calculated and requires an iterative method to do it. This is not convenient because obscures the correction procedure itself. The experimental results for positive lightning impulse show simply that K=δk. For positive switching impulses the results are scarce and show considerable dispersion, average performance in the range between δ=1 and δ=0.7, can be adjusted with a parallel straight lines for different clearances values. This allows obtaining a correction factor simpler, without the drawbacks of the IEC procedure, but requires the knowledge of the standard gap factor. In the present work a table of correction factor that from the beginning considers the known conditions: type of voltage, configuration and polarity and range of application is proposed; this results in a clear, consist, direct and less dispute procedure.
User-in-the-Loop Named Entity Recognition by Counterfactual Learning

Named Entity Recognition (NER) is an important task, to enable a wide range of NLP applications. The state-of-the-art NER models are based on deep learning and require enough labeled data. In practice, the labeled data for NER is usually limited, as providing accurate labels to the sentences is very time consuming. With an NER model trained on limited labeled data, it is desirable to develop an efficient mechanism to collect data labels and improve the model over time. To achieve this, existing works develop active learning approaches. However, these approaches are usually developed for annotators and assume the annotators will provide the exactly correct labels to each sentence selected to label. In this paper, we propose a simple yet effective user-in-the-loop feedback mechanism to enable end users, instead of annotators, to easily provide labels to the system. We identify counterfactual bias of the data collected by this feedback mechanism. To alleviate the bias and achieve more sample-efficient learning, we further develop a counterfactual NER learning framework. We develop an imputation model to estimate the loss in those non-displayed entity classes. By considering both losses on displayed and non-displayed entity classes, we can efficiently alleviate such display bias in the NER model. With extensive experiments, we validate the effectiveness of our feedback mechanism and learning framework.
Education at Second Chance Schools during the First Wave of the Covid-19 Pandemic in Slovakia - Tools, Methods, Effectiveness

The effectiveness of second chance education (SCE) analysis during the first wave of the COVID-19 pandemic in Slovakia was carried out by the research indicators: 1) organisation, 2) technology, 3) communication, 4) attitudes - emotions - assessment;on two levels of interaction: 1) teacher - student 2) teacher - teacher (school), using an online questionnaire (135 participants - teachers), in location: 1) developed districts (DD), 2) underdeveloped districts (UDD). The effectiveness of education was significantly higher at schools in DD in comparison to UDD.
Optimizing Daylight Performance of Small Visible-NIR Optical Systems

Low Earth orbit (LEO) is getting busy. As more and more satellites are launched, the demand for more and better data will grow. We've previously demonstrated how small optical systems can find, measure, and monitor LEO objects, even very small and faint ones. But the limitations of terminator viewing mean that maintaining custody of these objects with only these observations is not practical. Other work presented at this conference in the last few years has shown the potential for daylight measurements of satellites. Much of that work has focused on short-wave infrared (SWIR) band methods. The far lower sky brightness in the SWIR regime has considerable benefits. However, the fundamental light source, the Sun, puts out dramatically more energy in the visible regime, and thus the advantages of SWIR are not unequivocal. And while SWIR systems can be made cost effective, visible and near-infrared telescopes and detectors are commercial products, benefiting from the full effects of production scale and availability. We've presented extensively in the past on how to optimize twilight and nighttime SSA detection systems, but daylight operations pose a significantly different set of challenges. We start from a radiative transfer model (MODTRAN) of the daylight observing for LEO objects. We derive models for the signal and background levels that can be expected over a range of observing conditions. This becomes the basis of modeling throughput and detectivity as a function of different system configurations, and we make recommendations for various combinations of aperture size, focal length, pixel scale, exposure time, etc. We then compare this model to observational data obtained with a proof-ofconcept system. But detecting LEO objects in the daytime is only useful if those measurements can be calibrated to known astrometric reference stars. We discuss the challenges of doing so for a daylight system where the solar thermal load can appreciably change opto-mechanical alignment and make some recommendations for minimizing these effects.
Modeling and lightning performance study of compact transmission lines in EMTP-RV by application of Monte Carlo method

Techniques of line compaction have been developed with the aims of reducing the environmental impacts of transmission lines and increasing voltage level of existing ones. Because of major differences between compact and conventional transmission lines, the previous lightning performance studies on conventional transmission lines are useless in this emerging environment and these studies should be updated and differences must be considered. The calculation of the lightning performance must take into account the random nature of lightning and the random behavior of some line parameters like phase angle of power frequency voltage in every phase at the lightning stroke instance. Application of Monte Carlo method can handle uncertainties introduced by random nature of these parameters and can help to make useful predictions to estimate lightning performance of a transmission line. In this paper, the differences between compact and conventional lines are considered in the line model and line lightning performance has been studied by application of Monte Carlo method for several scenarios introduced in literature. Moment method is used to determine tower surge impedance by SuperNEC software and an approximate model has been introduced for tower modeling in EMTP-RV.
EFFECT OF CORPORATE GOVERNANCE ON PERFORMANCE OF SUGAR MANUFACTURING FIRMS IN KENYA: A CASE OF FIRMS IN WESTERN KENYA

vi TABLE OF CONTENTS . vii LIST OF TABLES . ix LIST OF FIGURES . x LIST OF ABBREVIATIONS AND ACRONYMS . xi CHAPTER ONE: INTRODUCTION . 1 1.1 Background of the Study . 1 1.1.1 Corporate Governance . 2 1.1.2 Organizational Performance.4 1.1.3 Sugar Industry in Kenya . 4 1.2 Statement of the Problem . 7 1.3 Objectives of the Study . 7 1.4 Research Hypotheses . 7 1.5 Significance of the Study . 8 1.6 The Scope and Limitations of the Study . 8 1.7 Operational Definition of Terms . 9 CHAPTER TWO: LITERATURE REVIEW . 10 2.
Relationship between Nursing Governance and Shared Leadership Style as Perceived by Nurses

Today’s complex healthcare organizations are facing many challenges. These challenges affect nurses’ responsibilities and accountabilities without adding power or authority. Healthcare managers and leaders recognize that quality care is best delivered by creating an attractive work environment, implementing nursing governance and shared leadership. Aim: To investigate relationship between nursing governance and shared leadership style as perceived by nurses. Study design: A descriptive correlational research design was used to conduct this study. Setting: The study was conducted at Alexandria Main University Hospital. Subjects: All nurses who were available at Alexandria Main University Hospital (N = 724) were included in the study and classified as follows: from medical care units (n = 221), from surgical care units (n = 307) and from intensive care units (n= 196). Tools: Two tools were used in this study. Tool I was Index of Professional Nursing Governance (IPNG) survey and tool II was Shared Leadership survey. Method: Selfadministered questionnaires were utilized by the researcher to collect the required data. Results: The vast majority of nursing profession related decisions was taken primarily by nursing management and leaders without or only little input from nurses. The highest mean percentage score of the studied nurses' governance was related to ability to set goals and conflict resolution. On the other hand, the highest mean percentage score of the studied nurses' shared leadership style was related to culture. Conclusion: There was a statistically significant difference with positive low correlation between overall nursing governance and overall shared leadership style. Recommendations: Implement strategies that promote nursing governance through providing nurses with equal opportunities for education and training on nursing governance practices. Also, enhance skills of first line nurse managers and nurses such as communication, goal setting, teamwork, resolution of conflict and decision making processes.
The Role of Excitotoxicity in Essential Tremor Cerebellum

Attachments Required 1. Specific aims of the proposal (1 page maximum). 2. Rationale of the proposal and relevance to essential tremor (1-2 pages maximum). 3. Preliminary data, if available should be incorporated into the Rationale/Relevance section. Preliminary data are not required for a proposal. However, if preliminary data are referred to in the proposal rationale, or have been used to formulate the hypotheses to be tested, such information must be formally presented in this section. 4. Research methods and procedures (1-2 pages maximum). 5. Anticipated results (half-page maximum). 6. Detailed budget and justification (1 page maximum). 7. Biographic sketch of principal investigator and all professional personnel participating in the project (standard NIH format, including biosketch and other support). 8. Copies of relevant abstracts and/or articles that have been published, are in press, or have been submitted for publication. 9. Completed conflict of interest questionnaire.
Technological change and the Swedish labor market. IFAU Working paper 2020:19

This report takes stock of recent research into the effects of technology on the labor market; assesses to what extent the Swedish labor market has been affected by technological change in the past three decades, in particular with respect to the themes highlighted by the research; and draws lessons for the future. The main conclusion is that so far, the Swedish labor market has adopted well to technological change, as it exhibits stable employment rates and steady wage growth across the distribution. Furthermore, there are no clear signs that this situation should change in the coming decades.
Prevalence of Human Papillomavirus in Women with Abnormal Pap Smears

Introduction: Human papillomavirus (HPV) is a widely prevalent sexually transmitted virus. Although the majority of infections are benign and transient, persistent infection is associated with the development of cervical, vulvar, vaginal and anal cancers (1) . The genital HPV types are divided into two categories, 'high risk' and 'low risk', originally assigned based on whether the HPV type could or could not be found as a solitary isolate in cervical cancer specimens (2) . It is now universally accepted that nearly all the invasive cervical cancers and high grade intraepithelial neoplasia and Abstract:
Potential Effects of Natural Antioxidants in The Treatment of Some Viral Diseases : Review

Viruses have a high ability to resist drugs and adapt to all conditions. This has encouraged the scientific community to develop new therapeutic agents by using antioxidant compounds that are naturally present in foods and medicinal plants. Cellular harm caused by free radicals (Reactive Oxygen Spescies ROS) leads to many From the diseases such as diabetes, virus inflammation, impregnability diseases, and digestive diseases. ROS are created during Metabolism of complex chemical compounds. Some plants are characterized by their antioxidant and antiviral activity which increases their ability to fight viruses, therefore plants with antioxidant capacity protect cells by stopping the oxidation chain reaction, and also can contribute significantly to offsetting oxidative stress caused by viral disease. Essential oils extracted from plants may serve as potential alternative sources for treating diseases caused by certain viruses. This study aims to show the potential effect of natural antioxidants found in some foods, herbs and their essential oils in treating some viral diseases, as well as how they work in boosting immunity and inhibition of free radicals
Relationship between Quality of Life and Social Support among Mothers of Children with Thalassemia

Mothers of children with thalassemia are often confronted with stressful life associated with the illness of the child as well as other related stressors. Consequently, these mothers’ quality of life is impacted. Previous researches have shown that perceived social support is a part of coping strategies that can help mothers to cope with their stressful life and increase their health status. The purpose of this study was to explore the relationship between quality of life and social support among mothers of children with thalassemia. Design: A descriptive co relational design was utilized. Setting: The study was conducted at pediatric department in University units at the Menoufia University Hospital at Shebin El-kom city, Menoufia Governorate, Egypt. Sample: A Convenient sample of 87 mothers of children with thalassemia who met inclusion and exclusion criteria were selected: Three instruments were used to collect data: Structured Interview Questionnaire to assess socio demographic characteristics of the studied subjects, a structured interview questionnaire, Quality of life Scale and Perceived social support scale. Results: The findings of this study revealed that less than half of studied mothers (42.4) have average and bad quality of life and more than one third of mothers (37.60%) have moderate social support. There was a positive correlation between total quality of life and total social support among the studied mothers. The study concluded that there was a positive correlation between total quality of life and total social support among the studied mothers. It was recommended that, an educational program should be given for the mothers of children with thalassemia to maintain their psychological and physical health, as well as improve their quality of life as a whole.
Determinants of COVID-19 Vaccine Acceptance in Ghana

Background: A proven strategy for saving lives from vaccine-preventable diseases is the timely vaccination of the people. In Ghana, there is considerable hesitation about the Covid-19 vaccines due to anxieties and uncertainties about their safety. With varying perceptions and believes being developed about Covid-19 vaccines, there is a likely negative effect on vaccine acceptance or otherwise. This study aims to ascertain the levels of acceptance of potential Covid-19 vaccine among Ghanaian adults, to identify predictors of vaccine acceptance or hesitance. Methodology: A web based cross-sectional survey conducted among Ghanaians above 18 years, conducted between the month of February and March, 2021. Data were collected by administering online google forms (Questionnaire). The questionnaire was shared through social media platforms. A snowball sampling technique was used where researchers shared google forms to close friends and family. Analyses were conducted at p-value <0.05 using descriptive statistics, cross-tabula­tions and logistic regression. Results: A total of 350 responses were achieved by end of data collection. Out of these, only 348 were considered for analysis based on the inclusion and exclusion criteria. Majority of the respondents (65.2%) were male, a third (30%) of them live in rural areas and about 57.5% were married. Factors such as age, educational level, prior vaccine acceptance history, personal vulnerability and self-feeling of health were significantly associated with covid-19 vaccine acceptance. Conclusion: The results depict low acceptance rate for potential covid-19 vaccine among Ghanaians. Government and MoH should engage the media on its role in combating misinformation with regards the Covid-19 vaccine. Key words: coronavirus disease 2019 (Covid-19), vaccine, hesitance, acceptance.