Miracle-dz/UniFAR-FTUs huggingface dataset:
Yield and quality response of some sugar beet (Beta vulgaris L.) varieties to humic acid and yeast application in newly reclaimed soil

Field trials were conducted at Research and Production Station, National Research Centre, Alemam Malek village, Al Nubaria District, Al Behaira Governorate, Egypt in winter seasons of 2015 and 2016 to study the response of, yield and quality of three sugar beet (Beta vulgaris L.) cultivars to foliar application of humic acid and yeast and their combination under newly reclaimed sand soil . The obtained results show significant differences among tested cultivars in most studied character but cultivar Heba surpassed the other two cultivars. The results also indicate that either humic acid or yeast have promoting effect on all studied character but yeast application was more effective than humic acid. Maximum sugar yield and quality obtained by Haba variety foliar sprayed with combined application with humic acid and yeast.
Size effect of Raman scattering on CeO2 nanocrystal by hydrothermal method

In this study, we prepared surface-modified CeO2 nanocrystals (NCs) by a hydrothermal method, and calcined CeO2 NCs at various temperatures between 400 and 1000 °C for 3 h in air to obtain crystal-size-controlled CeO2 NCs. We investigated the correlation between the Raman spectra and the crystal sizes of the CeO2 powder. The peak position of the F2g mode of CeO2 was shifted to lower energies as the crystal size decreased and the peak broadened. The present hydrothermally driven CeO2 NCs showed no change in lattice constant depending on crystal size after heat treatment. The Raman peak position of the F2g mode as a function of inverse CeO2 crystal size corresponded to the models for phonon confinement without the combination of strain and defect effects. Moreover, it was also suggested that the Raman peak width of CeO2 NCs without strain also showed dependence on particle size.
Algoritma Genetika dalam Penentuan Alokasi Biaya Wheeling Menggunakan LRMC dan MW-Mile

Deregulasi industri listrik telah terjadi di banyak negara. Tujuan utama di balik deregulasi ini adalah memperkenalkan kompetisi yang bertujuan untuk meningkatkan efisiensi dan kualitas layanan di industri pasokan listrik. Perubahan yang signifikan akan terjadi pada nilai pembangkitan dan fungsi saluran transmisi. Pelanggan akan berpartisipasi menyambut pasar bebas dan hal ini menyebabkan banyak perusahaan yang ingin membangun pembangkit sendiri dalam skema operasi wheeling untuk memenuhi kebutuhan sendiri. Wheeling menjadi solusi dari permasalahan tersebut. Metode aliran daya akan digunakan setelah penambahan wheeling pada sistem. Tujuan penggunaan metode ini adalah mengetahui kondisi sistem setelah wheeling ditambahkan karena peta aliran daya akan berubah saat ada pelaku wheeling. Metode studi aliran daya memberikan informasi besarnya daya total yang dibangkitkan oleh generator, tetapi tidak memberikan informasi daya yang dialirkan oleh generator di setiap jaringan transmisi. Untuk mengetahui alokasi daya yang dialirkan oleh generator di setiap jaringan transmisi, metode power tracing akan digunakan. Metode ini dapat memberikan informasi alokasi daya yang dialirkan oleh generator di setiap jaringan transmisi pada sistem. Penelitian ini akan membahas metode power tracing menggunakan metode algortima genetika (AG). AG adalah satu dari beberapa metode optimisasi dan mengasumsikan alokasi daya yang dialirkan oleh generator sebagai masalah yang akan dioptimisasi. Penentuan harga wheeling menggunakan metode Long Run Marginal Cost (LRMC). Metode ini memproyeksikan biaya masa depan dengan memperhatikan perubahan beban yang terjadi setiap saat dalam kurun waktu yang ditentukan. Pada makalah ini metode LRMC dibandingkan dengan metode penetuan biaya wheeling lainnya, yaitu metode MW-Mile. Hasil dari penelitian menunjukkan bahwa metode LRMC lebih murah dibandingkan dengan metode MW-Mile. Dari perspektif ekonomi, penentuan biaya wheeling menggunakan metode LRMC lebih murah 14%-20% daripada metode MW-Mile.
Settlement Patterns of Bronze-Age Sites of the Upper and Middle Atrak Basin in Northeastern Iran

In archaeological studies of Southwest Asia, during the period from the late fourth millennium BC to the beginning of the Iron Age (second half of the second millennium BC), phenomena such as growth of settlements in terms of area and population, emergence of early cities, trans-regional trade, formation of government institutions, emergence and spread of gray-and-black pottery, extensive changes in technology, dramatic development of smelting and use of bronze tools were identified. In this process, an extensive communication network aimed at controlling trade routes and access to raw materials across the plateau, by land and sea, connected many areas. Economically, remote trade was established in this period of time, various communities establishing ties with places located thousands of miles away in order to obtain their needed resources. Bronze-Age cultures are well-known in most parts of Iran, but Khorasan culture is an exception since the data are rare and insufficient. Moreover, information about the chronology and distribution of sites during different periods of prehistoric times in different parts of it is minimal. Thirty-eight sites from the Bronze Age have been studied in this research. These sites were identified in archaeological surveys of the upper and middle Atrak basin during the last decade. This study was done using the descriptive-analytic method. GIS and SPSS software and Correlation and Cluster analysis methods were used for data analysis. The settlement pattern in the upper and middle Atrak basin is similar. It consists of two-rank models with a large main site and several small sites around it. The results of this study indicate that due to the lack of water resources in the region, access to constant water resources has been an essential factor in the shaping of Bronze-Age settlements. Most sites were also formed during the Early Bronze Age, and we also faced a decrease in the number of sites in the Middle and Late Bronze Ages.
Modulatory Effect of Cicer arietinum Extract against γ -Irradiation-Induced some Biochemical Disorders in Rats.

Ionized radiations associated with risks of serious adverse effects. Administration of natural agents has been suggested to protect against ionizing radiation-induced tissue injury. Thus, the present study was oriented to study the in vivo ameliorative effect of Cicer arietinum extract (CAE) against whole body γ - irradiation induced biochemical alterations in male albino rats. Rats (n=24) were divided into control, CAE and γ -irradiated rats; the last exposed to a dose of 6Gy 137 Cs and subdivided into two groups. (1) γ -irradiated group received vehicle, (2) γ -irra diated group treated with CAE. γ -irradiation (6Gy) exposure induces significant increase in serum liver function markers, kidney function markers parallel with significant decline in the trace elements of rats. On the other hand, CAE (500 mg/kg b.wt, p.o) administration for 21 days to γ -irradiated rats resulted in an obvious improvement of the hazardous effects induced by γ -irradiation which was evident by the improved status of most of the abovementioned parameters. In conclusion, the present findings suggested that CAE has remarkable radioprotective effect against radiation induced biochemical alterations and this effect may be due to its bioactive chemical contents.
Cardiomyocytes, sphingolipids and cardio myotoxicity

Purpose of review Sphingolipids are structurally diverse membrane lipids localized in lipid bilayers. Sphingolipids are not only important structural components of cellular membranes, but they are also important regulators of cellular trafficking and signal transduction and are implicated in several diseases. Here, we review the latest insights into sphingolipids and their role in cardiac function and cardiometabolic disease. Recent findings The underlying mechanisms linking sphingolipids to cardiac dysfunction are still not fully clarified. Sphingolipids, and in particular ceramides, have emerged as important players in lipotoxicity, mediating inflammation, impaired insulin signalling and apoptosis. In addition, recent findings highlight the importance of glycosphingolipid homeostasis in cardiomyocyte membranes, where they are required to maintain β-adrenergic signalling and contractile capacity to preserve normal heart function. Thus, glycosphingolipid homeostasis in cardiac membranes characterizes a novel mechanism linking sphingolipids to cardiac disease. Summary Modulation of cardiac sphingolipids may represent a promising therapeutic approach. Sustained investigation of the link between sphingolipids and cardiomyocyte function is therefore needed and we hope that this review may inspire researchers to further elucidate the action of these lipids.
Coherent Synchrotron Radiation in Laboratory Accelerators and the Double-Spectral Feature in Solar Flares

Abstract Recent observations of solar flares at high-frequencies have provided evidence of a new spectral component with fluxes increasing with frequency in the sub-THz to THz range. This new component occurs simultaneously but is separated from the well-known microwave spectral component that maximizes at frequencies of a few to tens of GHz. The aim of this work is to study in detail a mechanism recently suggested to describe the double-spectrum feature observed in solar flares based on the physical process known as microbunching instability, which occurs with high-energy electron beams in laboratory accelerators.
Heart failure symptom burden, dietary intake, and inflammation: An integrative review of the literature

Heart failure (HF) is characterized by high symptom burden including, but not limited to fatigue, dyspnea, and edema. Up to 21.5% of HF patients experience significant depressive symptoms, much higher than 7.1% in adults without HF. Diet, metabolites, and other inflammatory mechanisms have gained notable attention in recent studies for contributions to symptoms in HF. Symptoms for black adults (B/As) with HF are often influenced by lifestyle factors, which may influence their higher mortality rates; few studies address these factors. Distinguishing the links between key elements with diet, inflammation, and symptoms may bring clarity for new dietary strategies in HF clinical care. The purpose of this integrative review is to examine the existing literature regarding relationships among physiologic pathways in HF along with physical and emotional symptoms in the context of inflammation, dietary intake, tumor necrosis factor-alpha (TNF-a), a biomarker of inflammation, and trimethylamine-N-Oxide (TMAO). Based on available evidence, inflammation may be a key link between physical symptoms, diet, depression, TMAO, and TNF-a in persons with HF and warrants further examination to clarify pathological links to solidify evidence for better guidance with dietary modifications. The literature reviewed in this study demonstrates that more work is needed to examine dietary planning, social support, and differences between men and women in the B/A community. Results of this literature review call attention to the essential, personalized care needs related to symptom monitoring and dietary planning which is expected to decrease symptom burden in the HF population.
Electrohydrodynamic Pump Supplied by Unipolar Direct Current Voltage With Both Positive and Negative Corona Discharge

Strong electric field applied between the two electrodes initiates a corona discharge, which results in ionization of gas molecules and induces ionic wind, also known as the electrohydrodynamic (EHD) flow. If an electric field is asymmetric, then a unidirectional gas flow can be formed causing so-called EHD gas pumping. In spite of many experiments with different electrode shapes and configurations such as needle-to-mesh, needle-to-ring, wire-to-rod, wire-to-non-parallel plates, etc., aimed at production of intensive gas pumping, the investigated EHD pumps were most often unsatisfactory. In our research, we proposed a new configuration of electrodes for the EHD pump, where all electrodes (excluding the first one and the last one) are simultaneously the discharge (on one side) and the collecting (on the other side) electrodes. Our electrodes configuration can be easily multiplied without additional space between consecutive electrodes. In such a case, a high ratio of pumping efficiency to pump size can be obtained. The Time-Resolved Particle Image Velocimetry technique was used to investigate the EHD flow generated by our EHD pump.
Factors Associated with Patients’ Rejection of Root Canal Treatment in a Tertiary Hospital, Southwest Nigeria: A Pilot Survey

Objective: Root canal treatment (RCT) is a major procedure in dentistry. It aims to relieve the pain of pulpal origin and maintain the affected tooth as a functional unit on the arch. Despite these achievable goals, RCT is sometimes rejected by patients. This study, therefore, sought to assess the reasons for rejection in patients planned for endodontic/RCT. Materials and Methods: This was a cross-sectional pilot survey of patients planned for RCT using a self-administered questionnaire. The questionnaire included sociodemographics, the Index for Dental Anxiety and Fear (IDAF-4C), and questions to assess the reasons for rejection of endodontic treatment. Data collected were analysed with IBM Statistical Package for the Social Sciences software program, version 23.0. Descriptive statistics were used; chi-square was used to test the association between categorical variables. Statistical significance was set at P ≤ 0.05. Result: Thirty-one patients between the age range of 16 and 81 years, with a mean age of 38.16 ± 17.87, participated in the survey. Only nine (29.03%) of the participants declined to have the treatment. The majority 6(66.7%), and 7(77.8%) of those that refused the treatment did so, due to fear of drilling (P = 0.014) and cost of treatment (P = 0.001), respectively. Mean IDAF-4C was 1.86 ± 0.9 (standard deviation). The rejection was, however, not affected by past experience, the risk of taking multiple radiographs, and the number of hours or visits for the procedure. Conclusion: The cost of treatment and fear of drilling were the major reasons for the rejection of RCT in this study. Therefore, there is a need to further look into making endodontic treatment a more comfortable, less costly, and less fear-provoking procedure for patients.
Pharmacognosy, phytochemistry, pharmacology and clinical applications of Taraxacum officinale

Taraxacum officinale (Dandelion), family Asteraceae is widely distributed in the warmer temperate zones of the Northern Hemisphere. It is known for its variety of curative properties and is anciently used in the treatment of various diseases such as dyspepsia, heartburn, spleen and liver complaints, hepatitis, anorexia, etc. Phytochemically, the plant contains artemetin, quercetin, luteolin, luteolin-7-O-beta-D-glucopyranoside, caffeic acid, esculetin, stigmasterol, lutein epoxide and taraxasteryl acetate. The present article briefs about Pharmacognosy, Phytochemistry, Pharmacology, and Clinical Applications of Taraxacum officinale.
"EMPOWERING RICE FARMERS THROUGH K-WORKERS COMPETENCY FRAMEWORK: ENHANCING FARMER PARTICIPATION IN RICE ESTATE COMMUNITIES (KEP)

– Workers require appropriate competencies to succeed in their job, particularly within the scope of the Estate Community (KEP). KEP is a community initiated by the Bogor Agricultural Institute to assist farmers in improving their standard of living. The purpose of this research is to propose a model of worker competencies adapted to Farmer Workers in the Rice Estate Community (KEP). This research is quantitative in nature, using an explanatory study design, supported by data from questionnaires distributed to workers in the Rice Estate Community (KEP). The population consists of farmer workers in the Padi Sungai Dua Estate Community, Palembang. The population and sample used a saturated sample. The research sample is all 61 new members of KEP. The instrument used is the K-Workers Competency research instrument from the research of Santoso and Hasan (2018). The analysis was carried out through demographic analysis, as well as Structural Equational Modelling (SEM) analysis using SmartPLS 3. The SEM analysis shows a well-adjusted K-Workers model for worker farmer perceptions, with 3 out of 8 hypotheses proven to be significant and 5 rejected. K- Workers’ competencies have an impact on farmer workers' participation in the rice estate community. These findings have significance in terms of theory, practicality, and policy determination and can contribute to the formation of similar Rice Estate Community (KEP) patterns.
Optimal Location Estimation and Anomaly Quantification for a Mobile Information Carrier: Prior Feeds for Deep Learning

Smart geo-intelligence systems consisting of mobile information carriers, driven by an information field, often face geo-intelligence problems possessing two aspects which need to be addressed to institute actions. First is estimation of the location state of a mobile information carrier where the dynamical law for state change is unknown but where the information field responsible for state change is known. The second is the characterization of the anomalous statistical structure in captured signals at predicted locations. A two-tier statistical approach is adopted here for the purpose of demonstrating optimal location estimation and anomaly quantification addressing the dual problem of where a mobile information carrier is and what anomalous structure exists in an acquired signal. In the first tier the least absolute shrinkage and selection operator (LASSO) along with Gaussian process (GP) nonlinear regression is used to optimally estimate the location of a mobile information carrier, a buoy, drifting due to a multivariate driving information field. This field emanates from a surface current and wavefield. The use of an ensemble of estimators emanating from the multivariate data is envisioned as the optimal estimator of location where estimator coupling is the ultimate means for reducing error producing noise. The multivariate data used in modelling the relationship between latitude and longitude, and the information field and then making future predictions of location is buoy data emanating from a SOFAR spotter buoy moving in the mid-Atlantic Ocean around the mean latitude and longitude of 38º and 320º (-40º) respectively. Two location variables (latitude and longitude) and seven information variables were measured by the SOFAR spotter buoy. The information field variables consist of the mean wave directional spread, mean wave direction, mean wave period, wave peak
Exploring Shortest Paths on Large-scale networks

Networks, which are gaining much popularity in various disciplines, model connections between different real-world entities. Based on graph theory, we study a series of problems for understanding networks. Shortest path is among the most fundamental notions studied in graph theory. By exploring shortest path structure, we can better understand the connections between entities. However, it is often computationally expensive to compute shortest paths on large-scale networks which are common nowadays. This thesis addresses two problems on large-scale networks in relating to shortest paths: (1) How are two vertices connected in a graph? We first define the notion of shortest path graph which contains exactly all shortest paths between two vertices. This notion empowers us to make full use of shortest path structures for analysing the connection between vertices. We formalize the shortest-path-graph problem and propose a novel method, called Query-by-Sketch, which can efficiently leverage offline labelling to guide online searching through a fast-sketching process for solving the shortest-path-graph problem on complex networks. (2) How is one source vertex connected to other vertices in a graph? Enumerating all shortest paths between a source vertex and all other vertices is less informative due the fact that the number of shortest paths is excessive. In addition to this, coverage centrality fails to measure how influential a vertex is in the information flow from a source vertex. Thus we extend the notion of coverage centrality to relative coverage, to measure the importance a vertex is w.r. t a source vertex. Then we formalize the top-k relative coverage problem and develop an efficient method to answer top-k relative coverage queries in a reduced space, and design a bit-parallel optimization to speed up the computation of relative coverage. The thesis also theoretically discusses the complexity of proposed methods, and presents the experimental results of proposed methods using 12 and 6 real-world datasets for two problems respectively, which illustrates the efficiency and scalability of proposed methods.
Vocal Behavior of Blue Whales: The A-call

A cacophony of sound resonates throughout the ocean generated by a diverse mix of geophysical, biological, and anthropogenic sources. Studying ocean soundscapes has become increasingly important, as human activity and climate change progressively threaten the health of marine mammal populations that depend upon sound for communication, navigation, and survival. Of these marine mammal populations, blue whales ( Balaenoptera musculus ) are particularly vulnerable to changes in oceanic soundscapes due to their endangered status. This study examines the behavioral ecology of northeastern Pacific blue whales via a population-level analysis of their vocal behavior. Specifically, in this study, we examine the variation in the abundance of the blue whale A-call over time and quantify the correlation of the A-call with a different type of vocalization made by blue whales, the B-call. This is accomplished by using long-term, continuous acoustic hydrophone data of one blue whale song season (June 2017-March 2018), coupled with signal processing and machine learning methods. Our preliminary results suggest that A and B-call vocalizations are tightly correlated, with similarly patterned frequency rates on daily and seasonal time scales. In addition, our preliminary results suggest a seasonal variation in the ratio of A-calls to B-calls, with a significant ratio peak of A-calls to B-calls in November.
Implementation framework for energy efficient routing in wireless sensor network

In recent years, designing of WSN becomes the leading domain for many researchers. In this paper an automaton system is suggested that dynamically monitors and studies the behaviors of the network environment to detect the malicious activities that occur in the network, to identify the attacked nodes and dead nodes in the wireless sensor network, and to transmit the message in the optimized route. The automaton system prevents the attacked and dead nodes from affecting the wireless sensor network. Computational Intelligence technique such as the PSO algorithm is used along with the automaton system so as to obtain the optimized route from the set of available paths. Once the optimized route is obtained the message is transmitted through this optimized route. The transmission takes place at a high rate since the path does not contain dead and attacked nodes, as well as the energy consumed by the optimal path will be minimal. Thus, the proposed model improves the utilization of energy, improves throughput, reduces end-to-end delay, and enhances the lifetime of the network.