Miracle-dz/UniFAR-FTUs huggingface dataset:
Phosphate Solubilization by Enterobacter cloacae and its Impact on Growth and Yield of Wheat Plants

The most efficient phosphate solubilizing bacterial strain was isolated from rhizosphere of healthy rice plants and identified as Enterobacter cloacae (B1) based on morphological and biochemical characteristics and 16S r DNA. The optimum phosphate solubilization conditions for pH, temperature and incubation period were obtained at 8, 30 °C and 3 days, respectively. Accordingly, Enterobacter cloacae (B1) was evaluated under field conditions through its impact on growth and yield characteristics of wheat (Triticumaestivum L.) cultivar Masr 1 in comparison with chemical fertilizers (phosphoric acid,calcium super phosphate and NPK). Results of this study showed that, Enterobacter cloacae (B1) effectively increased growth characteristics including plant height (cm) (9.96 %), fresh weight (g/plant) (86.78 %), dry weight (g/plant) (58.36 %) and flag leaf area (cm2) (53.68 %) and physiological characteristics including chlorophyll pigments content, chl. a, b and total (µg/cm2) (31.91 %, 35.81 % and 33.33 %, respectively)as well as yield characteristics such as spike length(cm) (13.14 %), spikelets number (13.58 %), grains number/spike (23.16 %), 1000 kernels weight (g) (6.49 %), spike weight(g) (29.37 %), biological weight(g/m2) (55.92 %) and grains weight(g/m2) (41.18 %) in comparison with control treatment.
Antecedents and Consequences of the Ethical Operation Model

The ethical operation model demonstrated four different types of the ethics by ethical leadership and catalyticmechanics. The objective of this paper was examined the different types ethical operation model but also furtherexplore the model’s antecedents and consequences. The research gap focused on the behavior side of thepractices of the ethics was included in the consequences variables in the paper. We also move further to explorethe antecedents of the ethical operation model. As to the research methods, in the first study, we adopted casemethod of carrying out in-depth case studies. To explore the theoretical relationship more deeply, this researchwas done by conducted survey in the second study. The author collected data from various sources, but notwanting to be limited by the data provided in case study, this paper also collected data via a survey. Efforts weremade to collect the data from multiple sources to avoid the possibility of common method biases. The empiricalresults demonstrated that the organization characteristics and leader’s characteristics influence the ethicalleadership and catalytic mechanism further influence the adoptive of the different type of the ethical operationmodel. And conclude that different types of ethical operation affect the degree of school administrative ethics.
Distributed Kalman-Consensus Filtering for Sparse Signal Estimation

A Kalman filtering-based distributed algorithm is proposed to deal with the sparse signal estimation problem. The pseudomeasurement-embedded Kalman filter is rebuilt in the information form, and an improved parameter selection approach is discussed. By introducing the pseudomeasurement technology into Kalman-consensus filter, a distributed estimation algorithm is developed to fuse the measurements from different nodes in the network, such that all filters can reach a consensus on the estimate of sparse signals. Some numerical examples are provided to demonstrate the effectiveness of the proposed approach.
Subcritical Growth of Electron Phase-space Holes in Planetary Radiation Belts

The discovery of long-lived electrostatic coherent structures with large-amplitude electric fields ( mV/m) by the Van Allen Probes has revealed alternative routes through which planetary radiation belts’ acceleration can take place. Following previous reports showing that small phase-space holes, with , could result from electron interaction with large-amplitude whistlers, we demonstrate one possible mechanism through which holes can grow nonlinearly (i.e., ) and subcritically as a result of momentum exchange between hot and cold electron populations. Our results provide an explanation for the common occurrence and fast growth of large-amplitude electron phase-space holes in the Earth’s radiation belts.
Haren: A Framework for Ad-Hoc Thread Scheduling Policies for Data Streaming Applications

In modern Stream Processing Engines (SPEs), numerous diverse applications, which can differ in aspects such as cost, criticality or latency sensitivity, can co-exist in the same computing node. When these differences need to be considered to control the performance of each application, custom scheduling of operators to threads is of key importance (e.g., when a smart vehicle needs to ensure that safety-critical applications always have access to computational power, while other applications are given lower, variable priorities). Many solutions have been proposed regarding schedulers that allocate threads to operators to optimize specific metrics (e.g., latency) but there is still lack of a tool that allows arbitrarily complex scheduling strategies to be seamlessly plugged on top of an SPE. We propose Haren to fill this gap. More specifically, we (1) formalize the thread scheduling problem in stream processing in a general way, allowing to define ad-hoc scheduling policies, (2) identify the bottlenecks and the opportunities of scheduling in stream processing, (3) distill a compact interface to connect Haren with SPEs, enabling rapid testing of various scheduling policies, (4) illustrate the usability of the framework by integrating it into an actual SPE and (5) provide a thorough evaluation. As we show, Haren makes it is possible to adapt the use of computational resources over time to meet the goals of a variety of scheduling policies.
A CLOSER LOOK AT LOW-SPEED PRECONDITIONING TECHNIQUES FOR THE EULER EQUATIONS OF GAS DYNAMICS

It is widely known that compressible flow solvers usually behave badly in terms of both accuracy and convergence rate at the incompressible limit. The present paper focuses on presenting the fundamentals of low-speed preconditioning techniques in a detailed approach, with particular emphasis on the Euler equations in two-dimensional generalized coordinates. Issues related to eigenvalue scaling, local time-stepping correction, artificial dissipation ad- justment and boundary conditions implementation are discussed. The computational tests are conducted using a finite difference code, which is constructed for structured grids in general curvilinear coordinates. Spatial discretization uses central differences plus added artificial dis- sipation. The time march can be performed with either explicit or implicit time discretization methods. Although the investigation is performed with a specific code, the conclusions reached in the process of the present research are quite general and, therefore, useful for CFD practition- ers regardless of the type of method they work with. Several airfoil simulations are addressed in order to demonstrate the benefits or even the necessity of using low-speed preconditioning techniques in the context of aerospace applications.
Spin-filtering effects in würtzite and graphite-like AlN nanowires with Mn impurities

Spin transport properties of magnetic nanowire systems--atomic-sized AlN nanowires with additional Mn impurities--are investigated employing ab initio constrained spin density functional theory calculations and nonequilibrium Green's functions formalism. The analyzed nanowire structures exhibit a stress-induced phase transition, between wurtzite and graphite-like configurations. In these quasi-one dimensional systems, the surface states ensure the basic prerequisite in establishing spin and charge transfer, by reducing the relatively large bandgap of the group III nitride semiconductor. The results show in how far this phase transition affects the surface states, focusing on the consequences which appear in the spin-filtering processes.
Evolution of the Internet and its cores

In this paper, we empirically study the evolution of large scale Internet topology at the autonomous system (AS) level. The network size grows in an exponential form, obeying the famous Moore's law. We theoretically predict that the size of the AS-level Internet will double every 5.32 years. We apply the k-core decomposition method on the real Internet, and find that the size of a k-core with larger k is nearly stable over time. In addition, the maximal coreness is very stable after 2003. In contrast to the predictions of most previous models, the maximal degree of the Internet is also relatively stable versus time. We use the edge-exchange operation to obtain the randomized networks with the same degree sequence. A systematical comparison is drawn, indicating that the real Internet is more loosely connected, and both the full Internet and the nucleus are more disassortative than their randomized versions.
Optimal favoritism within ECB policy

This thesis establishes a framework to justify the perceived regional biases within ECB interest rate setting policy. In order to accomplish this, a Taylor-rule is constructed from which five conditions are derived regarding differences in economic circumstances among member states. These economic circumstances consist of: (1) differences in output persistence, (2) interest rate elasticity, (3) sensitivity to real exchange rate changes, (4) exposure to non-Eurozone trade and (5) inflationary pressure of the output-gap. If one of the conditions derived from the Taylor rule is violated, it indicates that it is optimal for the ECB to favor economic circumstances within a member state more than is merited by its economic size alone. To demonstrate how these conditions justify regional biases within ECB policy, the weights of the four largest Eurozone member states are determined for which it holds that the ECB conducts optimal policy. Indeed, it was found that in some cases, the ECB conducts optimal policy if it under- or overweights some member states. However, due to a lack of data points, the constructed model could not be empirically validated. Therefore, the values of the estimated optimal weights are not completely accurate, but merely serve as an indication that it could be optimal for the ECB to under- or overweigh certain member states.
Logistics Performance Measurement System for Construction Supply Chains - A Case Study at a Large Swedish Construction Company

Logistics management in a construction supply chain can be seen as a key competitive factor due to the importance of perfect deliveries towards construction sites. The increased importance of logistics in construction supply chains explains why the evaluation of logistics effectiveness and efficiency is gaining increased attention. Logistics performance management is the key to quantifying the current state and improvement potentials within logistics. In order to ensure that the logistics of a supply chain is performing well, it is crucial that the company measures different aspects of the logistics flow of the supply chain. As stated by Sink and Tuttle (1989): "You cannot manage if you cannot measure. If you do not measure you do not know what you have achieved and where you are headed". This master thesis aims to investigate and give suggestions on how to measure the logistics performance of a construction supply chain. This can also be seen in the research questions of this report, which are "How should a logistics performance measurement system for a construction supply chain be designed? ” and “Which KPIs should be included in a logistics performance measurement system of a construction supply chain”? This master thesis is based on a case study at a large Swedish construction company. Thereby the key performance indicators (KPIs) related to the logistic processes in a construction supply chain were examined. One of the main findings of this master thesis is the creation of a conceptual framework, which focused on the design of a logistics performance measurement system (PMS). The framework takes company, industry, and supply chain characteristics into consideration, and designs the logistics PMS around those findings. The conceptual framework made it possible to identify four supply chain dimensions that should be covered when designing a logistics PMS for construction supply chains: supply chain reliability, efficiency, responsiveness, and sustainability. Furthermore, six strategic KPIs were identified that should help construction supply chains to measure their logistics performance. These KPIs were: perfect order fulfillment, fill rate, transportation cost per ton-km, backlog, customer ordering lead time, and CO2 emission per ton-km.
A CCA2-Secure Incomparable Public Key Encryption Scheme

In 2003, Waters, Felten and Sahai introduced a novel cryptographic primitive called Incomparable Public Key cryptosystem to protect anonymity of message receivers in an untrusted network. In this setting, a receiver is allowed to create many anonymous identities for himself without divulging the fact that all these identities refer to the same receiver. Recently, Lee and Lim improved the solution of Waters et al. with a more efficient decryption process. Both of these schemes are based on the ELGamal encryption scheme and are CCA1-secure in the sense of data privacy and IK-CPA-secure in the sense of key privacy. In this paper, we employ the Cramer-Shoup encryption scheme to propose the first example of an incomparable public key encryption scheme which is CCA2-secure in data privacy and IK-CCA-secure in key privacy. Therefore, our scheme outperforms existing incomparable public key schemes in security properties.
Doctoral Symposium: Self-Adaptive Data Stream Processing in Geo-Distributed Computing Environments

An ever increasing number of services requires real-time analysis of collected data streams. Emerging Fog/Edge computing platforms are appealing for such latency-sensitive applications, encouraging the deployment of Data Stream Processing (DSP) systems in geo-distributed environments. However, the highly dynamic nature of these infrastructures poses challenges on how to satisfy the Quality of Service requirements of both the application and the infrastructure providers. In this doctoral work we investigate how DSP systems can face the dynamicity of workloads and computing environments by self-adapting their deployment and behavior at run-time. Targeting geo-distributed infrastructures, we specifically search for decentralized solutions, and propose a framework for organizing adaptation using a hierarchical control approach. Focusing on application elasticity, we equip the framework with decentralized policies based on reinforcement learning. We extend our solution to consider multi-level elasticity, and heterogeneous computing resources. In the ongoing research work, we aim to face the challenges associated with mobility of users and computing resources, exploring complementary adaptation mechanisms.
Control and modulation for loss minimization for dc/dc converters in wind farm

For a DC wind turbine, a single phase series-resonant converter for unidirectional power is studied. This paper aims to identify and compare impact on electrical losses and component ratings from the choice of three candidate control strategies. The evaluation is purely based on circuit simulations and offline post-processing of losses. The initial findings indicate that lower losses are obtained in discontinuous current mode (DCM) conditions, with drawbacks on transformer design.
Using Nested-PCR for Detection of Avian Influenza Virus

Avian influenza virus can infect all poultry species. Infection of Broilers and layers with this virus can cause heavy economic loss to poultry industry annually. In this study a RT-PCR was optimized to detect avian influenza virus, regardless of its subtype. A part of matrix gene which is conserved among avian influenza viruses was amplified. The PCR product was cloned in pTZ57R/T vector and sequenced. The sequence data confirmed the specificity of the test. The sensitivity of PCR was determined to be 3 × 10 -2 EID 50 /ml. Using internal primers, a nested-PCR was carried out and the sensitivity was increased to 3 × 10-4 EID 50 /ml. Due to high sensitivity of the test for detection of avian influenza viruses, this technique can be used as a robust diagnostic method for detection of avian influenza virus.
Do Remittances Promote Democratization? How international Migration Helps to Overcome Political Clientilism

This paper presents evidence for international migration to have played a significant role in the Mexican democratization process. It argues that the non-taxability of remittances reduces an incumbent government’s ability to maintain political patronage systems and, as a result, elections will become more competitive. The empirical results, using data from municipal elections in Mexico, support this theory. Estimating an instrumental variable probit model, I find that remittances significantly increase the probability of a party in opposition to the former state party PRI to win in a municipal election. Moving from the first to the third quartile of the remittances measure increases that probability in previously state party ruled towns by more than 15% when party preferences are controlled for. I would especially like to thank William Easterly, Alberto Bisin and Leonard Wantchekon for guidance over the past five years; and Jessica Cohen, Prabal De, Paul Dower, Jonathan Eaton, Ana Cecilia Fieler, Ariell Reshef, Ana-Maria Santacreu and Matthew Wiswall for critical comments.
Relative Leader-Member Exchange: A Review and Agenda for Future Research

As an extension concept of LMX, relative leader-member exchange (RLMX) refers to actual level of one’s own LMX quality as compared with the average LMX within the team. This paper distinguishes the definition of RLMX from related constructs, introduces RLMX’s measurement and concludes outcome variables of RLMX which include voice behavior, affective commitment, psychological contract, self-efficacy, etc. At last, we point out the directions of future researches.
Importance of local vs. geographic variation in salt marsh plant quality for arthropod herbivore communities

An important recent advance in food web ecology has been the application of theory regarding spatial gradients to studies of the factors that affect animal population dynamics. Building on extensive studies of the Spartina alterniflora food web at the local scale, we hypothesized that geographic variation in S. alterniflora quality is an important bottom‐up control on food web structure and that geographic variation in S. alterniflora quality would interact with the presence of predators and top omnivores to mediate herbivore densities. We employed a four‐factor fully crossed experiment in which we (i) collected plants from high‐ and low‐latitude locations and grew them in a common garden and varied (ii) plant fertilization status (mimicking the plant quality differences due to marsh elevation), (iii) mesopredator density and (iv) omnivore density. Our results suggest that the single most important factor mediating insect herbivore densities is local variation in plant quality – induced in our experiment by fertilization and demonstrated repeatedly as a consequence of marsh elevation. Top‐down effects were generally weak and in those cases where predators did exert a significant suppressing effect on herbivores, that impact was itself mediated by host‐plant characteristics. Finally, despite observed variation in plant quality with latitude, and the separately measurable effects of this variation on herbivores, geographic‐scale variation in plant quality was overwhelmed by local conditions in our experiments. Synthesis. We suggest that a first‐order understanding of variation across large latitudinal ranges in the Spartina alterniflora arthropod food web must begin with local variation in plant quality, which provides strong bottom‐up forcing to herbivore populations. A second‐order understanding of the arthropod food web should consider the role of predation in controlling herbivores feeding on low‐quality plants. Finally, while latitudinal variation in plant quality probably explains some variation in herbivore densities, it is probably more of a response to herbivore pressure than a driver of the herbivore dynamics. Although extrapolating from local to geographic scales presents multiple challenges, it is an essential task in order for us to develop an understanding that is general rather than site‐specific.
Investigation of parameters affecting desilication of diasporic bauxite in Jajarm mine by thermo-chemical treatment

Low grade diasporic bauxite in the Jajarm mine with an A/S (Al2O3/SiO2) ratio of 2.3 is not usable in the Bayer process at Jajarm Alumina Complex. Due to the severe interlocking effect between the diaspore and aluminosilicate minerals (Chamosite and Kaolinite) and iron-containing minerals in a microcrystal matrix, the thermo-chemical treatment, which is independent from micro-mineralogy, was chosen for bauxite desilication. Five parameters affecting the process and their interactions were investigated using the Taguchi experimental design method. The results obtained showed that there was an interaction between the furnace temperature and the leaching time. Moreover, the optimum values for the parameters involved in the thermo-chemical treatment were determined to be a furnace temperature of 950 °C, a furnace residence time of 90 min, a leaching agent (soda) concentration of 150 g L-1, and a leaching time of 120 min, where the solid content (in leaching) had no effect. Moreover, a model was proposed using the Dx7 software to predict the A/S ratio. The ratio was predicted to be 7.52 at the optimum conditions, whereas in the experiments carried out under the same conditions, it was obtained to be 6.96 ± 0.2, which means a 59% decrease in silica and an increase in the A/S ratio of up to 3 times with 80% weight recovery.