Miracle-dz/UniFAR-FTUs huggingface dataset:
ALGORITHMS FOR COMPOSING PERVASIVE APPLICATIONS AND TWO CASE STUDIES

Component-based applications are becoming popular in information processing technologies. Areas of application such as adaptive distributed systems, web services, or grid computing are being closely influenced by this phenomenon. Components interrelate to run the application by calling other component methods or services. Depending on the application area, the system architecture has to tackle with the problem of allocating the application components onto computational hosts, each one with its own qualitative and quantitative constraints, automatically and at run-time, especially in user dynamic applications. These systems should have algorithms being able to select and optimize the component allocation across the network nodes, without violating any node constraints and satisfying all the component requirements, and also taking into account user preferences to offer them the best possible QoS. Moreover, in applications based on components resource constrained devices can share their capabilities and take advantage from others’ resources with the aim of becoming them into functional and potential machines. Moreover, this kind of application based on components could become a very constrained device into a functional and potential machine by sharing their capabilities and taking advantage from others’ resources. A correct component allocation could also improve the performance of the whole application, decrease resource requirements, prevent device overloading and offer a better service to its users. The task of allocating components in an optimal way is called an application allocation problem. The contribution of this thesis is to create two new algorithms for tackling with the application allocation problem. These algorithms are done in cooperation with Oleg Davidyuk and István Selek. The main goal is to use them in ubiquitous computing environments. They improve actual existing solutions results, while they are also generic with the purpose of using them in wide application domains. Their goal is to maximize the allocation quality according to given, easily modifiable criteria, such as minimizing hardware requirements or maximizing application QoS. This thesis also analyzed the performance of these algorithms by testing them in simulated environments, even in extreme situations. Finally, the research concludes by presenting two innovative applications that are developed in co-operation with Oleg Davidyuk and Iván Sánchez. The algorithms developed were included in these applications, and the allocation of the application components is made at run-time depending on the user requirements. User feedback collected during user testing is also discussed.
Encryption and decryption of big data streams using Lightweight asymmetric method in WSN

: Resource constrained devices are used in critical fields such as agriculture, smart health, industries and others. These devices produce an immense amount of data. These data streams are used for the analysis and making proper decision related to the applications. It is having restricted processing and storage capabilities which provide maximum data outcomes using less power consumption. An attacker may tamper or access data these data’s and is one of the key challenges faced by these devices. These systems are vulnerable to different security threats. Various lightweight cryptographic methods are there for solving issues like authenticity, confidentiality and data integrity. Most of these methods provide security from the attacks, but was completely secure or take more time for performing the security related encryptions steps. In this paper, a lightweight asymmetric algorithm based on RSA with key extension is proposed to provide security to the data sources generated by WSN. The enhancement is RSA is done by changing the key generation method. The system will satisfy all the key security properties. Here the proposed system is compared with existing methods in the perspective of computation time. The comparison is done for finding the better method.
Who's Driving Wages in Finland?

This study examines wage paths in the Finnish manufacturing using the Johansen method in estimations. The empirical results have the following implications. i) Wage-wage links in the Finnish manufacturing industry have been tight. In a longer perspective, wages in the high-pay branches and low-pay branches have followed a common path. ii) An important characteristic of wage development in high-pay branches has been the tendency to counteract any attempts to improve the relative position of the low-pay branches with additional wage increases. A major part of the adjustment through which earlier wage structures have been restored has taken place within one year. iii) The adjustment process due to wage-wage links seems to have changed since the devaluation of the markka in November 199 1. Result (ii) is of great interest for Finland and the other Nordic countries. This is because in Northern Europe wage settlements have been commonly designed to reduce wage differentials. In the Scandinavian literature, these have often been called "solidarity" or "solidaristic" type contracts. The results imply that when wage differentials have been compressed through institutional arrangements, market forces have counteracted and nullified the effects on wage structures. These forces include both local and branch-specific trade union bodies as well as employers. Resulting wage adjustment has been so quick that most of it must be attributable to wage drift. For analysis of the Finnish inflation history it is of great interest to notice that efforts to reduce wage differentials through incomes policy have led to additional inflation. The earlier wage structures have beenfully restored and only a higher wage and price level ie a loss in competitiveness has remained. Against the commonly held view, wages in the low-pay sector have, in a sense, driven wages in the high-pay sector and "solidarity" in wage policy seems to have been part of the national behavioural model characterized by high inflation and repeated devaluations. In recent years, a change in this process appears to have taken place. Whether this is actually an indication of some profound change in wage-wage links remains to be seen.
Realistic efficiency potential of next‐generation industrial Czochralski‐grown silicon solar cells after deactivation of the boron–oxygen‐related defect center

We measure carrier lifetimes of different Czochralski‐grown silicon (Cz‐Si) materials of various boron and oxygen concentrations and determine the maximum achievable lifetime after an optimized thermal treatment. We obtain very high and stable bulk lifetimes of several milliseconds, virtually eliminating the boron–oxygen (BO) defect complex, which previously limited the carrier lifetime in boron‐doped Cz‐Si materials after prolonged illumination. Based on these experimental results, we introduce a new parameterization of the bulk lifetime of B‐doped Cz‐Si after permanent deactivation of the BO center. Notably, we measure lifetimes up to 4 ms on 2‐Ωcm Cz‐Si wafers at an injection level of 1/10 of the doping concentration. Importantly, these high lifetime values can be reached within 10 and 20 s of BO deactivation treatment. A detailed analysis of the injection‐dependent lifetimes reveals that the lifetimes after permanent deactivation of the BO center can be well described by a single‐level recombination center characterized by an electron‐to‐hole capture cross‐section ratio of 12 and located in the middle of the silicon band gap. We implement the novel parameterization into a two‐dimensional device simulation of a passivated emitter and rear solar cell using technologically realistic cell parameters. The simulation reveals that based on current state‐of‐the‐art solar cell production technology, efficiencies reaching 22.1% are realistically achievable in the near future after complete deactivation of the BO center. Copyright © 2016 John Wiley & Sons, Ltd.
Astrocyte-derived nitric oxide in manganese neurotoxicity: from cellular and molecular mechanisms underlying selective neuronal vulnerability in the basal ganglia to potential therapeutic modalities

Astrocyte-derived Nitric Oxide in Manganese Neurotoxicity: From Cellular and Molecular Mechanisms Underlying Selective Neuronal Vulnerability in the Basal Ganglia to Potential Therapeutic Modalities. (December 2005) Xuhong Liu, M.D., Harbin Medical University; M.S., Harbin Medical University Co-Chairs of Advisory Committee: Dr. Ronald B. Tjalkens Dr. Evelyn Tiffany-Castiglioni Chronic exposure to manganese (Mn) causes the neurodegenerative movement disorder, manganism. A mouse model was developed to elucidate mechanisms involved in the etiology and progression of injury. Twelve-week old female C57Bl/6J mice were exposed to MnCl2 (100 mg/kg/day) by oral gavage daily for 8 weeks. After the experiment striatal dopamine (DA) content was decreased with the manifestation of hypoactivity. A distinct population of neurons was vulnerable to the effects of Mn, including enkephalin (ENK)-positive projection neurons, interneurons expressing neuronal nitric oxide synthetase (nNOS/NOS1), and choline acetyltransferase (ChAT)expressing interneurons. Activation of surrounding astrocytes occurred with expression of inducible nitric oxide synthase (iNOS/NOS2) and production of nitric oxide (NO)/peroxynitrite (ONOO). Activated astrocytes were detected primarily near the microvasculature in both the striatum and globus pallidus (GP). It is suggested that Mn
Interactive Effects of Inoculated Cucumber (Cucumis sativus L.) Seedlings and Saline Soil

ABSTRACT Cucumber (Cucumis sativus L. cv. Lvyuan4) seedlings were either noninoculated or inoculated with four bacteria to study the interactions of salinity in saline soil, cucumber, and bacteria. The seedlings were grown under controlled conditions in pots; the solutions of 100, 200, 400, and 600 mM sodium chloride (NaCl) and bacterial broth were added to the soils. Deionized water was used as control. There were nine treatments in the experiment. Each treatment contained three replications and each replication represented six plants. After 14 days of treatment, morphological characteristics, fresh and dry weights, chlorophyll, soluble sugar, malonaldehyde, proline, nutrient elements, and sodium (Na+) and chloride (Cl−) contents in plants and soils were calculated. Soil salinity inhibited seedlings growth, but low concentration of NaCl promoted plant growth. Soil microbial biomass decreased in saline soils and increased in inoculated treatments. Bacteria had the role of promoting growth and protecting plants against salinity. Bacteria accelerated Na+ and Cl− uptake markedly.
The Comparison of Edinburgh Postnatal Depression Scale (EPDS) Depression Score in Normal and Caesarean Section Delivery

Depression is one of the leading causes of disability in the world, including perinatal period which can affect both mother and babies. Type of delivery is still controversial risk factor for postpartum depression– which detected using Edinburgh Postnatal Depression Scale (EPDS). This study was aimed to find the relationship between type of delivery and postpartum depression. The case-control study of normal delivery and caesarean section mothers was conducted at Sundari Hospital, Medan, in July 2019. Postpartum depression was assessed using standardized EPDS. Subject characteristic, type of delivery, EPDS scores were obtained and analyzed using SPSS program. A total of 35 subjects in each group, 44.29% of subjects aged 26–30 years old and have 14 subjects with EPDS score >13, the most common depression symptoms including feeling sad (85.71%), feeling anxious (71.43%), low self-esteem (64.29%), feeling difficult to be close with baby (57.14%). The prevalence of postpartum depression was higher in caesarean section subjects (31.4%) compared to normal delivery (8.6%) (p = 0.034). Caesarean section delivery is the risk factor for postpartum depression, probably due to maternal psychological (worries, fears), biological (higher cortisol level, and the influence of anesthesia), and/or sociocultural factors. In conclusion, caesarean section deliveries are more at risk for postpartum depression.
Mindfulness and emotional intelligence in the prevention of relapses in people in treatment: a review*

s were read as the first filter for the selection of the articles. Subsequently, the critical analysis was carried out, as well as the search for the main variables and the relationship between Mindfulness and Emotional Intelligence for the prevention of relapses in alcohol and illicit drug use; work tools such as critical reading, underlining and analysis table were used (level of evidence, design, sample size, instruments used, and main results found). Figure 1 shows the process of identification, screening, and eligibility, where it can be seen that only four studies were included after this process. Articles identified in the database search (n=471) Id en tif ic at io n
New Molecular Data in the Truffle-Like Fungus, Aroramyces Herrerae, Reveal A Novel Cryptic Ancestral Taxon, Pterosporomyces Herrerae Gen. Nov. & Comb. Nov.(Trappeacea, Phallales)

Recently, Aroramyces herrerae was described based on morphology, ecology, and taxonomically placed in the family Hysterangiaceae (Hysterangiales). However, a DNA analysis revealed that A. herrerae belongs to a new sequestrate cryptic genus, Pterosporomyces, in the family Trappeaceae (Phallales), nested with Restingomyces reticulatus and Phalobata alba and jointly forming a basal clade of Phallales with strong statistical support. Pterosporomyces herrerae gen. nov & comb. nov. is characterized by an olive green to brown gleba and wing spores (utriculum) up to 6 μm broad and its ITS and ATP6 variation. Pterosporomyces is similar in morphology to Restingomyces but differs by the spore ornamentation been utriculate in the former and alveolate in the latter.
Studies on a Sulfur Dioxide Electrochemical Sensor with Ionic Liquid as Electrolyte

The sulfur dioxide electrochemical sensors, with ionic liquid as electrolyte, is studied by differential pulse voltammogram. Theresults demonstrate that the sensor has a good electrochemical response to sulfur dioxide gas. In addition, the sensor is sensitive, reproducible for sulfur dioxide measurement. The linear range is over 100ppm to 700ppm and the detection limits is 50ppm.
Fabrication and characterization of fibroin solution and nanoparticle from silk fibers of Bombyx mori

ABSTRACT The present investigation aims to study the effect of degumming time on the structural property of silk fiber obtained by silk cocoons of Bombyx mori, followed by preparation of the regenerated silk fibroin (RSF) solution which can be subsequently molded into silk nanoparticles. Silk fibers degummed with different media at different time intervals were investigated for the degumming loss and were characterized using Ffourier transform infrared (FTIR), differential scanning calorimetry (DSC), x-ray diffraction (XRD), and scanning electron microscopy (SEM). Maximum degumming was observed when the fibers were treated with sodium carbonate for 60 min. SEM and atomic force microscopy (AFM) images of RSF solution showed aggregation of silk globules resulting in formation of solvated macrochains and giving it an appearance of island-like morphology. Blank silk nanoparticles prepared from the RSF solution showed a smooth and spherical surface devoid of any adhesion using SEM, AFM, and transmission electron microscopy (TEM). The prepared silk nanoparticles may further be explored for loading drug entities and targeting.
CHALMERS FINITE ELEMENT CENTER Preprint 2001-02 The LL Finite Element Method and Multigrid for the Magnetostatic Problem

We develop the LL method for a magnetostatic model problem in electro-magnetics with large jumps in material parameters in three spatial dimensions. A priori and a posteriori error estimates are presented as well as an adaptive algorithm. We employ a multigrid method to solve the resulting algebraic equations. Finally, we present numerical results.
JULI Project - Final Report

Operational imperfections and decoherence errors are approximately modelled at gate level as an extension of our massively parallel quantum computer simulator. Decomposing a universal set of basic gates into plane rotations and phase shifts allows to introduce gaussian distributed angleand phase errors as effective imperfections of steering pulses acting on a qubit in a physical system. Combined with a simple decoherence model we investigate the impact and the interplay of operational and decoherence errors. We analyze the robustness of basic quantum operations and several quantum circuits such as quantum Fourier transformation and Grovers search algorithm. We find out very different sensitivities and describe their dependency on the system size. We provide a graphical tool that allows to investigate the resultant error patterns of our large scale simulations in detail. Introduction As a first step towards the simulation of realistic many qubit quantum computer devices we implemented a massively parallel gate level simulator which allows to simulate quantum systems up to 37 qubits requiring 3TB of memory on high end systems like IBM Regatta p690+. The simulation of quantum
Unified Theory and Model for Anaerobic Hydrolysis in Municipal Wastewater Treatment: Review of Enzymological Aspects and Hydrolysis Assessments

AbstractHydrolysis is arguably the least understood and least defined process in anaerobic biodegradation. In municipal wastewater treatment, it is associated with the degradation of organic particulates, soluble macromolecules, extracellular polymeric substances, and soluble microbial products. This paper reviews previous hydrolysis studies, emphasizing their interrelationships in an overall hydrolysis framework. Different methodologies adopted for hydrolysis assessments are also assessed, providing the basis for future hydrolysis studies. Finally, a unified theory and model, constructed by integrating the independent studies and reconciling their disparities, is proposed as an alternative to preexisting frameworks. As hydrolysis is an extracellular enzymatic process, this paper incorporates the enzymological aspects involved to elucidate its underlying principles.
A National-Scale Authentication Infrastructure

T oday, individuals and institutions in science and industry are increasingly forming virtual organizations to pool resources and tackle a common goal. In one example, the National Science Foundation’s Partnerships for Advanced Computational Infrastructure program provide a next-generation infrastructure for computational science. PACIs, relatively large and long-lived virtual organizations funded for five to 10 years, link some 50 institutions and thousands of researchers. Other virtual organizations, however, may be smaller and more fleeting. Participants in virtual organizations commonly need to share resources such as data archives, computer cycles, and networks—resources usually available only with restrictions based on the requested resource’s nature and the user’s identity. Thus, any sharing mechanism must have the ability to authenticate the user’s identity and determine if the user is authorized to request the resource. Virtual organizations tend to be fluid, however, so authentication mechanisms must be flexible and lightweight, allowing administrators to quickly establish and change resource-sharing arrangements. However, because virtual organizations complement rather than replace existing institutions, sharing mechanisms cannot change local policies and must allow individual institutions to maintain control over their own resources. Our group has created and deployed an authentication and authorization infrastructure that meets these requirements: the Grid Security Infrastructure. GSI offers secure single sign-ons and preserves site control over access policies and local security. It provides its own versions of common applications, such as FTP and remote login, and a programming interface for creating secure applications. Dozens of supercomputers and storage systems already use GSI, a level of acceptance reached by few other security infrastructures. MULTISITE AUTHENTICATION Virtual organizations must have a reliable means for identifying requestors, but participant independence complicates authentication across multiple sites. PACIs provide a good example of both the issues and technical requirements for a multisite authentication infrastructure.
Articulated Bone-Shape Cross-Parameterization and Biomechanical Visualization

Orthopedists invest significant amounts of effort and time trying to understand the biomechanics of articular joints and to quantify the differences occurring within a given population. While new image acquisition and processing methods currently generate richer-thanever geometry and kinematic datasets that are subject-specific, the computational and visualization tools needed to enable the comparative analysis and exploration of these datasets lag behind. In this paper we present a framework that enables the crossdataset visual exploration and analysis of articular joint biomechanics. Central to our approach is a computer-vision inspired markerless method for establishing a set of correspondences between subject-specific geometry. Manifold models are subsequently defined and deformed from one subject-specific geometry to another such that the markerless correspondences are preserved while minimizing model distortion. The resulted mutually-consistent parameterization and a variety of visualization techniques allow the users to explore the similarities and differences between datasets, and to define meaningful quantitative measures. We present results on several human wrist datasets, with applications ranging from cross-subject bone-shape analysis to surface detail transfer.
Pengaruh Pemberian Deterjen terhadap Mortalitas Ikan Platy sp.

One of the causes of water pollution are domestic wastes in the form of residual detergent. In the waste surfactants contain chemicals that are more resistant and does not change in a variety of media. Antiseptic ingredient in soap or detergent can disrupt the microorganisms, which is in the nature of water can be dangerous. This study aimed to determine the effect of detergent on Platy Sp. fish mortality at doses of 0 ppm, 18 ppm, 36 ppm, and 54 ppm of deterjent for 4 days treatment. The method used in this study was experimental design. The result of mortality obtained were analyzed using descriptive analysis. From the research it could be concluded that the concentration of detergent affect the rate of mortality in Platy Sp. fish positively. At 18 ppm detergent was the mortality of Platy Sp. longer than the mortality of the concentration at 54 ppm detergent.