Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Humic Acid Application on Growth and Productivity of Sunflower Under Saline Soil Conditions

A field experiment was conducted at El-bostan Farm, Faculty of Agriculture, Damanhur University in the two successive summer seasons of 2018 and 2019. The aim of this study was to investigate the effect of humic acid application on sunflower (Helianthus annuus L.) growth, yield & its components and some chemical constituents grown under saline soil conditions.The experiment was laid out in a split plot design in four replicates. The main plots were occupied by three sunflower genotypes Sakha 53, Giza 102 and Line 120. While subplots contained four treatments of humic acid (HA) i.e.; without HA (control), HA soil application, foliar HA spray and a combination of both foliar spray and soil addition of HA. The results showed that, different genotypes did not perform similarly under salinity stress conditions. Line 120 had the highest leaf area/plant, head diameter, seed yield/ plant and seed yield/ha. With regard to humic acid application, it caused improvement for most growth, physiological parameters, yield and its components compared to control. Obtained results also, showed that humic acid application as both soil and foliar spray on Line 120 and Sakha 53 led to obtain the highest values of most studied parameters in the two growing seasons. Finally, it could be concluded that humic acid application can ameliorate negative effects of salinity on sunflower.
LEDGF/p75 Is Required for an Efficient DNA Damage Response

Lens epithelium-derived growth factor splice variant of 75 kDa (LEDGF/p75) plays an important role in cancer, but its DNA-damage repair (DDR)-related implications are still not completely understood. Different LEDGF model cell lines were generated: a complete knock-out of LEDGF (KO) and re-expression of LEDGF/p75 or LEDGF/p52 using CRISPR/Cas9 technology. Their proliferation and migration capacity as well as their chemosensitivity were determined, which was followed by investigation of the DDR signaling pathways by Western blot and immunofluorescence. LEDGF-deficient cells exhibited a decreased proliferation and migration as well as an increased sensitivity toward etoposide. Moreover, LEDGF-depleted cells showed a significant reduction in the recruitment of downstream DDR-related proteins such as replication protein A 32 kDa subunit (RPA32) after exposure to etoposide. The re-expression of LEDGF/p75 rescued all knock-out effects. Surprisingly, untreated LEDGF KO cells showed an increased amount of DNA fragmentation combined with an increased formation of γH2AX and BRCA1. In contrast, the protein levels of ubiquitin-conjugating enzyme UBC13 and nuclear proteasome activator PA28γ were substantially reduced upon LEDGF KO. This study provides for the first time an insight that LEDGF is not only involved in the recruitment of CtIP but has also an effect on the ubiquitin-dependent regulation of DDR signaling molecules and highlights the role of LEDGF/p75 in homology-directed DNA repair.
Automatic Fruits Classification System Based on Deep Neural Network

Fruit classification is playing a vital role in robot-based farming. The plucking of fruits and packing is done using robots nowadays. This could only be possible using efficiently trained robots base on machine learning. Different techniques have been developed for fruit classification, but still, there are many gaps, i.e., efficiency and accuracy. In this research work, we are targeting classification accuracy. This paper presented an Automatic Fruit Detection tool with good precision and recalled using deep learning neural networks. It will help in farming, cultivation, and produce sound effects in robotic farming. The aim is to build an accurate, fast and reliable fruit detection system, a vital element of an autonomous agricultural robotic platform; it is a crucial element for fruit yield estimation and automated harvesting. We used the ResNet-50 in the context of transfer learning. Different training choices were defined, i.e., 10% to 80%. Experimental results show that we compete for the prior approaches even on only 10% training. The proposed approach achieves state-of-the-art results compared to prior work with the F1 Score, which considers both precision and recall performances improving from 0.838 to 0.894 and 0.995 of accuracy. In addition to improved accuracy, this approach is also much quicker as compared to recent approaches.
Relationship between Plant Biodiversity and Carbon Stock in Rural Area of Cisadane Watershed

The main activities in the rural landscape are agriculture, involved natural resources management that compose the function of area as settlement, government services, social services and economy activities. These activities affected the rural landscape that changed plant diversities as well as carbon stock. The aim of this research was to evaluate biodiversity and carbon stock in the rural area of Cisadane Watershed. Two villages were defined on a purposive random sampling, i.e. Sukadamai and Bantarsari. The sampling plots were selected based on main land use type with size for tree was 20 m × 20 m, pole was 10 m x 10 m, sapling was 5 m x 5 m and seedling was 2 m x 2 m; with 3 replications. Similarly, other concentric plots were established. The number of plant species were counted, diameter at breast height (DBH) and plant height were measured. The analysis of carbon stock, plant diversity and the relationship was developed using Microsoft Excel and R 3.6. 1 software. The results showed that main land use in Sukadamai and Bantarsari Village consisted of settlement area, farmland, mixed farming and palm oil plantation. In the research area where 106 species from 43 families that classified into 9 horizontal diversity based on function and 5 vertical diversity based on plant height. The values of Shannon-Wiener Diversity Index (H’) ranged 2,78–3,20. Estimated carbon stocks were 1,16–51,40 Mg ha −1 in research areas, respectively. These research concluded there was a negative correlation between species richness and diversity index with carbon stock in the village landscapes.
Prototype Sistem Monitoring Infus Berbasis IoT (Internet of Things)

The development of increasingly sophisticated medical science and technology has an impact on the development of science and technology in the field of medical-devices. One of the existing equipment and is often used in hospitals, one of which is an IV. Currently in the world of health, infusion is still controlled manually. Because it takes time if the nurse has to go back and forth throughout the patient room. Not only is it time consuming, but there will be risks if it is too late to treat a patient whose infusion has run out. Technology needs to be used to minimize risks in the medical world, one of which is the application of IoT technology. This study aims to make it easier for nurses to control infusion conditions in real time using the concept of IoT ( the Internet of Things). The method used is the Waterfall method. This research uses hardware consisting of Load Cell with the HX711 module as a weight sensor, NodeMCU V3 as a processor, and Thingspeak Web server as the interface with the user. The results of the measurement of the tool made have an error of 0.25 Gram, sending data to the Thingspeak.com Server requires a good connection for maximum results.
Photo-acoustic tomographic image reconstruction from reduced data using physically inspired regularization

We propose a model-based image reconstruction method for photoacoustic tomography (PAT) involving a novel form of regularization and demonstrate its ability to recover good quality images from significantly reduced size datasets. The regularization is constructed to suit the physical structure of typical PAT images. We construct it by combining second-order derivatives and intensity into a non-convex form to exploit a structural property of PAT images that we observe: in PAT images, high intensities and high second-order derivatives are jointly sparse. The specific form of regularization constructed here is a modification of the form proposed for fluorescence image restoration. This regularization is combined with a data fidelity cost, and the required image is obtained as the minimizer of this cost. As this regularization is non-convex, the efficiency of the minimization method is crucial in obtaining artifact-free reconstructions. We develop a custom minimization method for efficiently handling this non-convex minimization problem. Further, as non-convex minimization requires a large number of iterations and the PAT forward model in the data-fidelity term has to be applied in the iterations, we propose a computational structure for efficient implementation of the forward model with reduced memory requirements. We evaluate the proposed method on both simulated and real measured data sets and compare them with a recent reconstruction method that is based on a well-known fast iterative shrinkage threshold algorithm (FISTA).
The Effect of Geometric Parameters on the Performance of Solar Chimney: A Numerical and Experimental Study

A numerical and experimental study of the geometric parameters of the solar chimney on the aerodynamic and thermal behavior of the air flow is presented in this paper. Several configurations were proposed in order to optimize the most efficient geometric one. Mass conservation, continuity, and energy equations are solved by the finite volume method. The increase in the radius of the collector and the inclination angle of the roof of the collector contributes favorably to the flow velocity to reach its maximum below the level of the tower, whereas it is inversely proportional to the height of the collector (space: ground-roof). This hangs up the height and the opening of the chimney generates a significant relaxation between the glue and the exit, from where important velocity is recorded at the level of the glue. A good correlation between the experimental and the simulation results is observed.
Effect of Fertilization and Foliar Applicaion Treatments on Coriander Plant (Coriandrum sativum L.)

Now a day, finding alternatives to chemical fertilizers without reduction of yield becomes urgent need for saving the environment. So,two field experiments were performed at Experimental Farm of Gemmiza, Agricultural Research Station, El- Ghrbiah Governorate, Egypt during the two growing seasons of 2016 and 2017 to investigate the influence of different fertilizers types, i.e., mineral fertilizers (100 % as a control), organic fertilizers (plant compost and farmyard manure), bio-fertilizer and different applications of some stimulants on improving the vegetative growth, fruit yield and essential oil constituents of Coriandrum sativum L plant.The findings showed that coriander plants treated with compost plant had the highest values of all studied parameters as compared to the plants treated with farmyard manure. Within the foliar non-mineral applications; the best values of all studied traits of coriander plants were obtained by using compost before planting and Humic acid plus seaweeds which improved plant growth, yield and essential oil yields. In addition, the highest values of the main component (linalool) were associated with the same previous treatment.
Catalytic activity of TiO2/sepiolites in the degradation of Rhodamine B aqueous solution

TiO 2 /sepiolite catalysts were prepared by suspension of titanium dioxide and support in solvent accompanying by calcination. The characterization of the obtained powder has been examined by some physical means including XRD, SEM, FT-IR, and UV-vis. The sepiolite support possesses fibrous structure. X-ray diffraction analysis pointed out that the TiO 2 particles are firmly distributed on fibrous sepiolite matrix. All TiO 2 /sepiolite samples were tested for the degradation of rhodamine B and showed a high catalytic activity. The experimental data showed that the degradation efficiency of rhodamine B is correlated with the amount of TiO 2 loadings and oxidant behavior. At room temperature, the conversion of rhodamine B reaches to 99-100 % over 6.0 wt% TiO 2 /sepiolite catalyst. Keywords. TiO 2 , rhodamine B, sepiolite, degradation, photocatalysis.
Clustering Algorithm Based Straight and Curved Crop Row Detection Using Color Based Segmentation

Autonomous navigation of agricultural robot is an essential task in precision agriculture, and success of this task critically depends on accurate detection of crop rows using computer vision methodologies. This is a challenging task due to substantial natural variations in crop row images due to various factors, including, missing crops in parts of a row, high and irregular weed growth between rows, different crop growth stages, different inter-crop spacing, variation in weather condition, and lighting. The processing time of the detection algorithm also needs to be small so that the desired number of image frames from continuous video can be processed in real-time. To cope with all the above mentioned requirements, we propose a crop row detection algorithm consisting of the following three linked stages: (1) color based segmentation for differentiating crop and weed from background, (2) differentiating crop and weed pixels using clustering algorithm and (3) robust line fitting to detect crop rows. We test the proposed algorithm over a wide variety of scenarios and compare its performance against four different types of existing strategies for crop row detection. Experimental results show that the proposed algorithm perform better than the competing algorithms with reasonable accuracy. We also perform additional experiment to test the robustness of the proposed algorithm over different values of the tuning parameters and over different clustering methods, such as, KMeans, MeanShift, Agglomerative, and HDBSCAN.
Learning Model Team Assisted Individualization Assisted Module to Improve Social Interaction and Student Learning Achievement

This research aims to improve social interaction and learning achievement in Computer and Network learning materials in Grade X-9 Vocational High School 1 Padang students using the Team Assisted Individualization learning model with modules. This research is a Class Action Research consisting of two cycles. Each Cycle consists of action planning, action execution, observation, and reflection. This study's subject was Grade X-9 Vocational High School 1 Padang Year 2019/2020, which numbered 38 students. Data sources come from teachers and students. The data validity technique used in this study is a triangulation technique that tests the validity of data by utilizing outside means of data to check or benchmarking data methods. The analysis technique also refers to Miles and Huberman analysis models performed in three components: data reduction, data presentation, conclusion drawing, and verification. Data collection instruments through questionnaires, tests, observations, and interviews. The data analysis techniques used are qualitative and quantitative descriptive analysis. The results showed that the Team Assisted Individualization learning model with modules could improve: (1) social interaction increased from 47.37% to 71.05%, and (2) cognitive aspect learning achievement by 34.21% increased to 65.79%. While the affective aspect is learning in (Cycle I) reached the target of 81.58%.
Improvement of Self-Efficacy and Student Learning Outcomes on Acid Base Material Using 9E Learning Cycle Model

The aim of the research was to find the effectiveness of developed teaching materials to increase students’ selfefficacy and learning outcomes using 9E learning cycle on acid base matter. The teaching materials was applied in SMAN 7 Surabaya toward 36 students of grade XI-6. This research used 4D model from Thiagarajan. The application steps during learning activity used pre-experimental, pretest–posttest question. The evaluation steps in this research used self-efficacy questionnaire, pretest–posttest questions, and motivation questionnaire. As a results, average selfefficacy and motivation of students increased up to 0.71 and 0.65. The average of learning outcomes increased with 0.75 score and in high category. The conclusion is the developed teaching instrument can improve self-efficacy and learning outcomes of students effectively.
A Novel Hybrid Approach for Access Control in Cloud Computing

Access control is essential to protect data and system resources by preventing unauthorized access. Cloud computing ensures that users get benefit from such resources by following their requests. Hence, users can access applications, programs, and storage. Data security is a significant concern to be dealt with in the cloud computing area. The dispersion of data across multiple storage devices in cloud computing and abundant access from heterogeneous devices pose serious security threats. Therefore, the protection of data and resources using proper access control mechanisms is a critical task for cloud service providers. Various access control approaches and models for cloud computing have been suggested in existing research , however; security breaches in these approaches cause great threats for cloud service providers. Based on the analysis of existing works, we proposed that the combination of multiple approaches is the best solution to ensure access control according to users' requirements and to the network conditions. Hence, concerning the analysis conducted on related works, we propose a hybrid approach based on the Attribute-based-Access-control and Role-Based-Access-Control models. Our approach combines the best features of these models and ensures both security and flexibility. Compared to the conventional models, the proposed approach defines different security levels via the assignment of a different number of attributes for each role by guaranteeing the least privilege concept.
Investigation on heat transfer enhancement in a circular pipe with artificial roughness

This paper presents a numerical analysis of convective heat transfer enhancement of transverse ribs in circular tubes. Several CFD simulations are carried out for turbulent airflow to analyze heat transfer and pressure drop provided with transverse rectangular ribs. The rib height and pitch are widely varied along with the flow Reynolds number. The effect of each parameter is examined and discussed. To accurately predict major parameters (Nusselt number, friction factor, and thermal hydraulic performance parameter) a deep neural network is developed, trained, and tested by current CFD data. The result demonstrates that artificial neural network shows better performance compared to other methods of prediction (e.g. power-law approximation) and can offer an economical and powerful approach for modeling optimal heat enhancement parameters.
The Potential of Modulating Na+ K+ Atpase Pumps and Katp Channels in the Development of a New Therapy to Treat Hyperkalemic Periodic Paralysis

ii TABLE OF CONTENTS . iv LIST OF FIGURES . vi LIST OF TABLES . xi LIST OF ABBREVIATIONS . xii ACKNOWLEDGMENTS . xv GENERAL INTRODUCTION . 1 REGULATION OF MEMBRANE EXCITABILITY . 3 IMPACT OF ION GRADIENTS ON MEMBRANE POTENTIALS . 3 ION CHANNELS REGULATING AP. 5 Nav1.4 channel . 5 Kv channel . 9 ION CHANNELS REGULATING RESTING EM . 11 ClC-1 Cl channel . 11 Kir2.1 and KATP channels (Kir6.2) . 16 NKA PUMP . 20 CHANNELOPATHIES . 21 CHANNELOPATHIES ASSOCIATED WITH ClC-1 MUTATIONS . 21 CHANNELOPATHIES ASSOCIATED WITH Kir2.1 MUTATIONS. 24 CHANNELOPATHIES ASSOCIATED WITH Kir2.6 MUTATIONS. 25 CHANNELOPATHIES ASSOCIATED WITH Cav1.1 MUTATIONS . 26 CHANNELOPATHIES ASSOCIATED WITH Nav1.4 MUTATIONS . 27 HYPERKPP . 34 CHAPTER 2 . 44 ABSTRACT . 46 INTRODUCTION . 47 METHODS AND MATERIALS. 50
Health beliefs of women attending mammography unit and related factors

Aim: This descriptive study was done to evaluate the perceptions of health beliefs and related factors of women attending a mammography unit for mammograms. Materials and Methods: It was carried out with 181 women admitted to a mammography unit of a university hospital. Data were measured using a questionnaire form. Results: Statistically significant differences were found between women's education (health motivation, Breast Self-Examination (BSE) benefits and barriers), BSE performance status (health motivation, BSE barriers and self-efficacy, mammography benefits and barriers) and family history of breast cancer (sensitivity, health motivation, BSE benefits) (p<0.05). As a result of the research findings, it was determined that 64.6% of women performed BSE. Conclusion: In accordance with these results, increasing the awareness training for breast cancer and the dissemination of screening may be suggested by taking into account the individual characteristics of women.
Antecedents and consequences of employee engagement in the SMEs of crafts

The research aims to analyze the mediating role of employee engagement between job satisfaction and reward as the antecedents, the connection between employee engagement and Leader-Member Exchange, and commitment as the consequences. Meanwhile, this primary study's purpose is to determine whether (and how) employee engagement and antecedents influence Leader-Member Exchange and Organizational Commitment. The population of wooden batik craft centers in Bantul regency is 57 centers and in Gunung Kidul regency is 20 centers. A census did sampling with 292 crafters consisting of 148 crafters in Bantul regency and 144 crafters in Gunung Kidul regency. The data collection technique used in this research was to use a questionnaire. This research uses the AMOS Structural Equation Modelling technique. The results confirm that job satisfaction, reward, employee engagement, Leader-Member Exchange, and Commitment are interrelated. Job satisfaction and reward had a positive relationship with employee engagement. Furthermore, employee engagement mediated the connection between Leader-Member Exchange and Commitment, and Leader-Member Exchange had a positive relationship with commitment
The Economic Empowerment Model of Multicultural Society

The diversity of skin colour, language, ethnicity, religion and culture in Indonesia should not create a conflict in society. Efforts to avoid horizontal collisions do not mean that a society is clear from multiculturalism of culture, religion, social life and free from friction among groups. Harmonization is actually expected to be created in all communities throughout Indonesia not only by the awareness and attitudes of each party to accept differences but also by the ability to develop them as dynamic potentials that provide opportunities and hopes for the progress of the Indonesian nation. Based on the background of the problems, it is important to conduct a study to make the economy of Magelang Regency, Central Java community as a policy model for improving people's welfare among multi ethnicity, culture, and religion in Indonesian by empowering society. It can be done by using two approaches, namely the top-down approach or often called the trickle down model and the bottom-up approach model, those are creating tourism village and providing power to the society or called empowerment.