Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of biochar on N2O emission, crop yield and properties of Stagnic Luvisol in a field experiment

Soils are one of the main sources of nitrous oxide (N2O) in agriculture. Soil management practices can significantly affect N2O emissions through changing soil physical, chemical and biochemical properties. Application of biochar to arable soils can be an option for N2O emission mitigation, but the effect of biochar can be different for soils with different fertility levels. The objective of this study was to evaluate the effect of biochar application on N2O emission, soil properties and barley yield from loamy sand Stagnic Luvisol with high and medium levels of fertility caused by high rates of farmyard manure and fertilizer application for 10 years. A small-scale field experiment was conducted during the growing season of 2012 in North-Western Russia. Four treatments were used in the experiment: 1) control (no biochar, no N-fertilizer), 2) biochar (12 t ha-1), 3) N-fertilizer (90 kg ha-1 N) and 4) biochar (12 t ha-1) + N-fertilizer (90 kg ha-1 N), in five replicates. Significant changes in water-holding capacity and the amount of available nitrogen (N) occurred in the soil with high fertility, and thus it emitted significantly more N2O for the growing season than the soil with medium fertility. Biochar application effect on N2O emissions depended on the soil management history and was reducing the emission from the soil with high fertility rich in mineral N and C but not from the soil with medium fertility if no nitrogen fertilizer was applied to the latter soil. The yield-scaled N2O emission was the highest from the control treatments for the soil with both fertility levels, and the soil with high fertility was always characterized by higher yield-scaled N2O emissions than the soil with medium fertility. Application of biochar reduced yield-scaled N2O emission from the soil with medium and high fertility levels showing that biochar application to the soil can improve N use by the plants.
Study of the Metacognition Technique in Reducing the Desire for Opioid Dependence

The aim of this study was to determine the effectiveness of the technique of meta-cognitive effect in reducing desire Addicts in the city of Ardabil. Semi-experimental study. The population consisted of all patients referred to one of the centers in the city of Ardabil in 2016 is addiction. For Sample, 50 people with opiate dependence according to criteria of inclusion and exclusion and obtain the certificates necessary medical certification that the leave be available were selected and randomly divided into two groups of 25 experimental and control have been. The experimental group received eight sessions on techniques of meta-cognitive control group spent their daily routine. Using a desire scale anticipated return was gathered and demographic Wright. Information obtained using analysis of covariance and variance MANOVA and multiple variable was analyzed using SPSS software. The results showed that meta-cognitive learning techniques to reduce desire Addicts in Ardabil significant effect (0.01> P). The overall results showed that the technique of meta-cognitive training can reduce the desire in consumer consumption of opioid use.
Exposure to simulated heatwave scenarios causes long-term reductions in performance in Saccharina latissima

Kelps are important foundation species in many cold-temperate coastal systems, and the loss of these organisms is a threat to ecosystem structure and function. The abundance of sugar kelp Saccharina latissima has recently declined in Northern Europe, which has been explained by increasing water temperature. We tested heat tolerance of sugar kelp exposed to simulated heatwave scenarios of 15, 18, 21 and 24°C for 3 wk, followed by a 2 wk recovery period at 15°C. Growth rate and photosynthetic performance decreased significantly with increasing temperature, while mortality remained low among treatments except at 24°C, where >90% of the algae died within a few days. Although exposure to 18 and 21°C had limited effect on mortality, kelps exposed to these temperatures had negative growth and continued to show impaired photosynthesis during the subsequent recovery period. Reductions in growth were strongly correlated to reduced carbon acquisition and, hence, photosynthetic performance, which was strongly correlated to heat-related changes in pigmentation. We suggest that reduced performance after exposure to elevated but non-lethal temperatures was caused by oxidative stress resulting from a discrepancy between light absorption and photosynthesis. Our results show that exposure to high but sub-lethal temperatures can have significant long-term effects, which may cause loss of biomass and leave sugar kelp susceptible to other stressors.
Mini Review on Dermatomycosis

Dermatomycosis is a fungal infection of the skin, hair and nail caused by Trichophyton, Microsporum and Epidermophyton. These organisms are found in the environment, humans and animals in forms of yeast or mold. There are many factors that contribute to the growth of fungal infections in human body. But still majority of virulent factors and mechanisms of the diseases of fungi are not clear. This review paper describes types of fungal infections, their classification, epidemiology and new insights into pathogenesis with the focus on molecular mechanisms of the diseases. Furthermore, traditional and novel molecular diagnostic methods and the variety of drug treatment and the development of resistance against these drugs are discussed.
Essays on economic activity and the environment

This thesis consists of three essays on the nexus between economic activity and the environment and addresses issues such as growth, crime, and environmental quality. Chapter 1 investigates the relationship between human capital accumulation and health damaging pollution. It is shown that global dynamics are featured by a path dependency. There is either cyclical convergence to a low income equilibrium or positive long-run growth with an Environmental Kuznets Curve, depending on the initial conditions with respect to human capital. Also, as far as the evidence is concerned, the model gives an empirically relevant correlation between the volatility of income and the mean value of income. Chapter 2 focuses on a relatively unexplored theme of the economics literature, linking criminal activity and pollution. An emission tax motivates firms to invest in pollution abatement technologies, but at the same time this type of investment is discouraged by the presence of criminal groups, whose main activity is money extortion. It is observed that under certain parameter values, there exists a situation in which a higher crime economy will produce lower output and nevertheless will have higher pollution. In other words, it is proved that crime might be one of the explanatory factors for which countries with lower output (i.e., less developed countries) are more polluted. In the last chapter, we examine the effects of the imposition of a minimum quality standard on firm’s quality choices, when the policy maker is at an informational disadvantage regarding the monopolist’s cost structure. In this asymmetric information environment, it is shown that if the regulator is outsmarted by the firm’s misleading signal, the minimum quality standard will be downward distorted, which might negatively affect social welfare.
Protective effect of creatine phosphate sodium, vitamin C combined with antiviral therapy on myocardial damage in children with viral myocarditis

Viral myocarditis (VMC) is the myocardial diffuse and local lesion caused by viral infection, the probability of VMC in children shows increasing trend year by year, and the case fatality rate is high. How to protect the cardiac function of children with VMC and optimize the overall treatment outcome is the present clinical research focus, and although conventional antiviral therapy can prevent the further viral damage to myocardial cells to a certain extent, it has little effect on reducing children’s systemic inflammatory response and recovering oxidation/anti-oxidation balance, which is currently the leading cause of death in children with VMC after conventional antiviral treatment. Creatine phosphate sodium is the myocardial nutritional drug with many clinical application, and it improves the level of myocardial energy-rich phosphate so as to avoid further myocardial injury[1,2]. Vitamin C is a powerful antioxidant, and after reaching a certain concentration in the body, it can scavenge free radicals and protect myocardial mitochondrial function [3]. In the study, creatine phosphate sodium and vitamin C were used together in the treatment of children with VMC, and their effect on myocardial protection, anti-inflammation, anti-oxidation and other aspects was mainly elaborated.
Role of antibody diversity in the management of malaria parasite invasion Primary tabs

The widespread incidence of malaria infection which result in breakdown of immunity and consequent death in the absence of effective health care measures such administration of appropriate drugs is as a result of failure of the immune system in combating the pathogenic Plasmodium species responsible for malaria infection. This review focuses on the role of antibodies in immune response to malaria and the role of antibody variation in the management of malaria.
Flow of an Oldroyd 8 -cons tant fluid in a convergen t channel

The problem considered is the steady flow of an Oldroyd 8-constant fluid in a convergent channel. Using series expansions in terms of decreasing powers of r given by Strauss [8] for the stream function and stress components, the governing equations of the problem are reduced to ordinary differential equations. The resulting differential equations have been solved by employing a numerical technique. It is shown that the streamline patterns are strongly dependent on the non-Newtonian parameters.
Electrical Machines and Power Electronics For Starter-Generators in More Electric Aircrafts: A Technology Review

Safety-critical power conversion systems play a major role in the paradigm shift towards more electric aircraft (MEA) architectures. This paper reviews the electrical machines and their power electronic systems that are currently competing in the application of integrated starter-generators (S/Gs) in MEA power systems. Motivated by the strict requirements of sufficient electrical starting capability, super-high power density and ultra-high reliability, additional considerations on the overall system design are necessary, including the power electronic converters (PECs) and integrated thermal designs. These aspects are discussed not only in the light of their many benefits but also of the challenges introduced by the continuous advancements and emerging innovations in the power conversion technology. In achieving the MEA goals and capitalize on all potential benefits, optimization-based design approaches will be necessary, where the aggregation of electric machines, PECs and the aircraft grid is considered as an integrated system to be optimized. This review highlights the importance of these aspects and offers a view on future perspectives and open issues.
Evaluation on Encrypted Databases

Private database query (PDQ) is a protocol between a client and a database server, designed for processing queries to encrypted databases. Specifically, PDQ enables a client to submit a search query and to learn a resulting set satisfying its search condition, without revealing sensitive information about a query statement. The whole query can be protected from the server, but for efficiency reasons known PDQ solutions generally consider to hide the constants only in a query statement. In this paper, we provide two fully homomorphic encryption (FHE)-based PDQ protocols that hide type of queries as well as the constants of a query statement. Particularly, our constructions focus on conjunctive, disjunctive, and threshold conjunctive queries. To this end, we first build a single compact logical expression to cover both conjunctive and disjunctive queries. On top of the logical expression, we design a PDQ protocol that enables to evaluate conjunctive and disjunctive queries without revealing any information on a given query. The second PDQ protocol comes from our observation that if a threshold conjunctive query has a particular threshold value, it results in either a conjunctive query or a disjunctive query. Because the PDQ protocol writes the three types of queries into a single polynomial expression, the resulting protocol can evaluate the three types of query statements without revealing any information on queries. To demonstrate their efficiency, we provide proof-of-concept implementation results of our proposed PDQ protocols. According to our rudimentary experiments, it takes 37.57 seconds to perform a query on 316 elements consisting of 16 attributes of 64 bits using Brakerski-Gentry-Vaikuntanathan’s leveled FHE with SIMD techniques for 149-bit security, yielding an amortized rate of just 0.119 seconds per element. INDEX TERMS Private queries, Encrypted database, Homomorphic encryption
Center (SMSC) bertanggung jawab untuk menangani sebuah pesan SMS pada jaringan nirkabel (wireless) yang kemudian berikutnya bertanggung jawab untuk mengirimkan pesan tersebut (forward) ke nomor telepon tujuan. Meningkatnya penggunaan layanan SMS banyak dimanfaatkan oleh pihak-pihak tertentu untuk me

Short Message service (SMS)is mobile communication that interest advertiser for its effective deliveries with cheap operational cost compare to printed media. Some spam SMS do not need mailing list to reach their customers. But, spam SMS could create higher respons from emails spam. Spam SMS includes promotion,scamming,and fraud.To overcome this problem,anti-spam filtering are needed to detect spam and non-spam SMS. Some anti-spam filtering algoritm such as Decission Tree, Naïve Bayes (NB),Support Vector Machine (SVM),and Neural Network. This research used Naïve Bayes classifier or known as multinominal Naïve Bayes is a simplification from Bayes algoritm which is suitable for text or documents classification.This study will make additional Genetic Algorithms in the process of selecting attributes that will be used in the classification process with Naïve Bayes algorithm. Genetic Algorithms can be used as an attribute of the overall voter attributes obtained from the process of feature extraction. NB compared to NB and GA produced significant accuracy result, NB gained 89.39% accuracy rate, but GA gained 89.73% accuracy rate. So, there is an increase in 0.34 % after adding GA. NB and GA can be applied to the classification of SMS messages, because Naïve Bayes algorithm is an algorithm that does not consider the relationship between attributes to one another (independence). So, when there is a data set with hundreds of attributes, all of those attributes will be counted by Naïve Bayes, by adding a Genetic Algorithm as a feature selection, which determines the attributes that are relevant in order to optimize the classification accuracy. It is expected to apply feature selection using Particle Swarm Optimization (PSO) for the next research because there is no evolution in the operator, for example, mutation and crossover on Genetic Algorithms (GA,) and PSO is more flexible in maintaining the balance between global and local searches on its search space.
Saicsit ' 96 Efficient State-exploration

The exploration of states is an important element of many problems. Many problems share properties which allow the formulation of general strategies for state exploration. This article examines these strategies with reference to the problem of deadlock detection in labelled transition sys­ tems. The main issues are discussed and four major tasks are identified: state generation, scheduling, state storage, and state compaction. Empir­ ical data is presented, optimizations and special restrictions are discussed and, finally, the results are generalized.
Title: Comparison of the Effectiveness of Mindfulness-Based Cognitive Therapy and Quality Of Life Therapy on Perfectionism and Rumination in Patients with Migraine Authors:

Background: The effectiveness of mindfulness-based cognitive therapy and quality of life therapy in perfectionism and rumination in patients with migraine was compared. Materials and Methods: The study was carried out as a quasi-experimental study with three groups (two experiment and one control groups) and pretest/posttest design. Study population consisted of all patients with migraine headache visited Torbat Heidarieh-based hospitals and clinics Iran. The sample group consisted of 45 individuals selected through Available sampling. The participants were randomly divided into three groups each with 15 members. The experiment groups underwent therapeutic interventions so that intervention group one received quality of life therapy and intervention group two received mindfulness-based cognitive therapy. The control group received no intervention. Data gathering tools were a multi-dimension perfectionism scale (Ferasat 1990), Ahvaz Migraine Headage Questionnaire, and Rumination Response Scale (Hoksma and Maro). The tools were filled out by the participants before and after the intervention. The collected data was analyzed in SPSS22. Results: The mindfulness-based cognitive therapy had no significant effect on perfectionism, while it was effective in rumination in migraine patients. The quality of life therapy was effective in perfectionism and rumination in the patients. The results supported a significant difference between the two types of treatments in terms of effectiveness in perfectionism and rumination in migraine patients. That is, with regard to perfectionism, mindfulness treatment was more effective than the quality of life therapy. Moreover, the results did not support a significant difference between the two types of treatments in terms of their effect on rumination. That is, the effects of the two treatment methods were at the same level. Conclusion: The treatment based on so called basic cognitions and replacement of negative and intrusive thoughts with positive thoughts and avoiding intrusive thoughts through neutralizing based on the two cognitive treatment methods led to notable improvements in the participants in terms of rumination, frequent intrusive thoughts, and perfectionism. In fact, changes in cognitive reactions to pain and change in beliefs and expectations were the main mechanisms of attenuation of headache.
Access control in Information-centric Networking for Disaster Scenarios

The primary concept in Information-centric Networking (ICN) is named information objects (IO). To allow storing data on untrusted nodes and transporting it over untrusted links ICN relies on object security. This paper expands upon our earlier work providing a network solution for disaster scenarios. It is aiming at distributing cached information in the network in such a way that when network connectivity breaks (unexpectedly) and the network is partitioned, most data will still be available in the fragments of the network. This is achieved by predicting where the network might fragment and making sure that each fragment has a Content Tracker (CT) which will replicate relevant data. In this early work we discuss the requirements to introduce and implement ABE-based access control in a disaster ready ICN network. We focus on two key topics, naming and ABE key revocation. In future work we will implement the proposed ABE access control mechanism and evaluate it compared to other access control mechanisms.
Technology and Modeling of Nonclassical Transistor Devices

This paper presents a comprehensive outlook for the current technology status and the prospective upcoming advancements. VLSI scaling trends and technology advancements in the context of sub-10-nm technologies are reviewed as well as the associated device modeling approaches and compact models of transistor structures are considered. As technology goes into the nanometer regime, semiconductor devices are confronting numerous short-channel effects. Bulk CMOS technology is developing and innovating to overcome these constraints by introduction of (i) new technologies and new materials and (ii) new transistor architectures. Technology boosters such as high-k/metal-gate technologies, ultra-thin-body SOI, Ge-on-insulator (GOI), AIII–BV semiconductors, and band-engineered transistor (SiGe or Strained Si-channel) with high-carrier-mobility channels are examined. Nonclassical device structures such as novel multiple-gate transistor structures including multiple-gate field-effect transistors, FD-SOI MOSFETs, CNTFETs, and SETs are examined as possible successors of conventional CMOS devices and FinFETs. Special attention is devoted to gate-all-around FETs and, respectively, nanowire and nanosheet FETs as forthcoming mainstream replacements of FinFET. In view of that, compact modeling of bulk CMOS transistors and multiple-gate transistors are considered as well as BSIM and PSP multiple-gate models, FD-SOI MOSFETs, CNTFET, and SET modeling are reviewed.
Training and employee productivity of selected insurance: Perspectives for the board of directors

Employees are a vital resource for organisations. Their collective performance could determine productivity, growth and survival of organisations. Globally, employee productivity has become a subject of intense research. Studies in literature reported inconsistent findings of relationship between training and employee productivity. Employee productivity (efficiency, quality of work and timeliness of work) is perceived to be low probably due to inadequate training (on the job training, skill development, resilience and career success) of the employees. This paper, therefore, examined the relationship between training and employee productivity of selected insurance companies in Lagos State, Nigeria. The authors used survey research method. The population of study was 1527 employees in 8 selected insurance companies from which sample of 560 was selected using stratified sampling technique. The paper used questionnaire as research instrument validated through face and contents validity tests with Cronbach’s Alpha reliability coefficients ranged from 0.62 to 0.84 for various constructs used. The authors analysed data using both descriptive and inferential statistics. The study disclosed a moderate positive relationship between training and employee productivity with a correlation coefficient r (501) = 0.542, p < 0.05. Findings of the paper supported Board of directors’ investment decision in personnel development, employees’ skills, and attitude that enhanced productivity. The study concluded that training was essential for employee productivity.
Optimization of Processing of Fermented Cassava Semolina (attiéké) Fortified with Soybean Proteins

Aims: This study was carried out to optimize the processing of soybean proteins-fortified attiéké. Methodology: Response surface methodology was used to describe the effects of ferment and soy contents, and fermentation time on the protein content, pH and acceptability of the attiéké product. A central composite design consisted of twenty-three experiments was conceived using the Galiachi design. Results: Results showed that the experimental data were adequately adjusted in the second-order polynomial model. Protein content and overall acceptability were significantly influenced by soy content. pH was affected by the three studied factors. The optimum conditions were 11.41% of ferment, 6.35% of soybean content and 18 h 7 min 48 s of fermentation time. Under these conditions, the protein content (6.62%), the pH (4.57) and the overall acceptability (3.41) were within defined target range. Conclusion: The obtained results could be used in the artisanal and modern industries for the processing of attiéké with high nutritional value.