Miracle-dz/UniFAR-FTUs huggingface dataset:
Antibiofoulants : A practical methodology for control of corrosion caused by sulfate-reducing bacteria

The thrust of this project was to reproduce the findings presented in A New Concept of Treating Surfaces Exposed to Oilfield Water Systems, SPE #16262, by P.P. Suranach. These laboratory findings showed the relationship between under-deposit corrosion and biofilming. Suranach showed that the use of a synergistic mix of compatible compounds to inhibit biofilm growth and provide corrosion protection could result in lower chemical costs and enhanced corrosion protection. The intent was to replicate his findings with products found in oilfield-treating chemical inventories. Products were selected that worked together to reduce corrosion, limit plugging, and reduce high treating levels of toxic commercial biocides.
Extraction of topical query from multi-domain document collection

Finding documents related to a search result might be a challenging task when possible relevant document are hidden behind a search engine. This paper describes a semi-supervised method for extraction a topical query describing main topic of the document that can be used to link two or more databases with help of a search engine. Keyword : extraction, keyphrase extraction, tf-idf, topical query, document similarity, relevant document extraction.
RECENT ADVANCES TOWARDS THE DEVELOPMENT OF (QUANTITATIVE) STRUCTURE-ACTIVITY RELATIONSHIPS FOR METALLIC NANOMATERIALS: A CRITICAL REVIEW

The exponential increase of nanotechnology has raised concerns on the risks posed by engineered nanomaterials (ENMs). Recent studies on the ecotoxicity of ENMs addressed that these materials could potentially cause adverse effects to human health and to biota. A comprehensive assessment of ENMs’ risks is thus urgently needed, which is, however, severely hindered by time, financial burden, and ethical considerations. Gathering the required information in a fast and inexpensive way seems essential. In such a context, the extension of the conventional (quantitative) structure-activity relationships ((Q)SARs) approach to nanotoxicology, i.e. nano-(Q)SARs, is a possible solution. Recently, various attempts have been made to correlate ENMs’ characteristics to the biological effects elicited by ENMs. This highlighted the potential applicability of (Q)SAR in the nanotoxicity field to aid in prioritizing information on nanotoxicity and in rationalizing the risk assessment of ENMs. This review summarizes and discusses the current knowledge on nano-(Q)SARs for metallic ENMs with regard to the aspects (i) sources of data; (ii) existing nano-(Q)SARs; (iii) mechanistic interpretation; and (iv) an outlook on the further development of this frontier. The review aims to present key advances in relevant nano-modeling studies and to stimulate future research efforts in this quickly developing field of research.
A study to ﬁnd the properties that Randomized Reductions preserve

Interest in complexity classes stems from the problems belonging to these classes, and the reductions between these members. Traditionally, the stress had been on the polynomial time reductions, which played a central role in the classical complexity theory. These classical deterministic reductions preserved a lot more than memberships; in a sense, they preserved ’the proofs of memberships’ too. However, the seminal work of Adleman and Manders ([AM77]), which introduced the concept of randomized reductions, altered the world of structural complexity beyond recognition. In this paper, Adleman and Manders established the intractability of certain number-theoretic problems: they demonstrated that certain problems in NP which were not known to be NP-complete were, nonetheless, not likely to be in P. Since then, randomized reductions have come to play an increasingly important role in structural complexity. This has, mainly, been due to the fact that, randomized reductions that use randomized Turing machines lie halfway between the deterministic and the non-deterministic Turing machines, and hence, they are much more powerful and have much greater applications compared to the classical deterministic reductions. This is basically due to the fact that randomized reductions reduce the running time of the machines at the cost of introducing a slight bit of indeterminism, which is inconsequential if sufficiently high probability of success is achieved by altering some design parameters.
A practical view on substitutions Mathematik und

For logic program analysis or formal semantics, the issue of re-naming terms and generally handling substitutions is inevitable. We revisit substitutions from a practitioner’s point of view, presenting concepts we found useful in dealing with operational semantics of pure Prolog. A concept of relaxed core representation is introduced, upon which a concept of prenaming is built. Prenam-ing formalizes the intuitive practice of renaming terms and allows for extensibility. A novel algorithm for term matching is proposed, which also solves the problem of substitution generality (and thus equivalence), using witness term technique. The technique aleviates the problem of ad-hoc proofs involving generality.
Increasing Health Literacy through NoteAid Translational Tool in Nursing

4 Introduction . 5 Background.6 Problem Statement.7 Organizational “Gap” Analysis of Project Site.8 Review of the Literature . 9 Evidence-Based Practice: Verification of Chosen Option . 13 Theoretical Framework/Evidence-Based Practice Model . 13 Goals & Objectives . 14 Project Design . 14 Project Site and Population.15 Methods.16 Measurement Instrument(s) . 16 Data Collection and Analysis.17 Timeline . 18 Ethical Considerations/ Protection of Human Subjects . 18 Results . 19 Discussion . 22 Cost-Benefit Analysis/Budget . 25 Conclusion . 25 References . 27 Appendix.31
Extreme Quantum Advantage for Rare-Event Sampling

We introduce a quantum algorithm for efficient biased sampling of the rare events generated by classical memoryful stochastic processes. We show that this quantum algorithm gives an extreme advantage over known classical biased sampling algorithms in terms of the memory resources required. The quantum memory advantage ranges from polynomial to exponential and when sampling the rare equilibrium configurations of spin systems the quantum advantage diverges.
Comparative assessment of awareness on issues pertaining to sustainability in institutions of higher education

Institutions of higher education provide role models for excellence in education. They also have an added responsibility of providing guidance to the community for social upliftment and environmental sustainability. It becomes imperative, therefore, to assess the extent to which sustainable practices have been adopted in these institutions and their adequacy. It is anticipated that a holistic assessment will indicate strengths and weaknesses in sustainability practices so that effective measures can be taken to initiate the creation of a more sustainable environment. To accomplish the foregoing objective two parameters have been analyzed namely, Energy and Waste. Information gathered from administrators and service providers of select residential institutes of higher education with respect to the quantities associated with each parameter and the criteria taken to create the environment sustainable. Case study approach was adopted to examine power consumption trends and waste management practices. An online survey conducted to gauge the sustainability perception and the importance of sustainability parameters. Increasing awareness of issues pertaining to sustainability in institutions of higher education is reflected by relevant practices adopted, however, it is expected that initial movement generated in this direction will lead to further adoption of sustainable practices consisting with the cultural geography and social economic scenario prevailing.
Problem Solving and Interrelation of Concepts in Teaching Algorithmic Thinking and Programming

Developing problem-solving thinking should not be the task of only mathematics. It should be the task also of informatics. Students’ problem-solving abilities can be greatly enhanced by solving consciously structured, interrelated programming tasks. To create a well-structured series of tasks it is necessary, that we understand and become aware of our own system of concepts. As a teacher, we need to be aware of the concepts that are really important and how they relate to each other. Our aim is to help our students to develop connections and correspondences within their concepts that will facilitate the integration of new concepts into their concept map. In this paper we deal with this concept map and the issues that arise with it
Photovoltaic Generation Prediction of CCIPCA Combined with LSTM

In order to remedy problems encompassing large-scale data being collected by photovoltaic (PV) stations, multiple dimensions of power prediction mode input, noise, slow model convergence speed, and poor precision, a power prediction model that combines the Candid Covariance-free Incremental Principal Component Analysis (CCIPCA) with Long Short-Term Memory (LSTM) network was proposed in this study. The corresponding model uses factor correlation coefficient to evaluate the factors that affect PV generation and obtains the most critical factor of PV generation. Then, it uses CCIPCA to reduce the dimension of PV super large-scale data to the factor dimension, avoiding the complex calculation of covariance matrix of algorithms such as Principal Component Analysis (PCA) and to some extent eliminating the influence of noise made by PV generation data acquisition equipment and transmission equipment such as sensors. The training speed and convergence speed of LSTM are improved by the dimension-reduced data. The PV generation data of a certain power station over a period is collected from SolarGIS as sample data. The model is compared with Markov chain power generation prediction model and GA-BP power generation prediction model. The experimental results indicate that the generation prediction error of the model is less than 3%.
REGENERATION ABILITY OF FRAGMENTS OF Ludwigia sedioides (Humb. & Bonpl.) H.Hara: A POTENTIAL INVASIVE PLANT IN SRI LANKA

Ludwigia sedioides (Humb. & Bonpl.) H.Hara is an ornamental aquatic plant recognized as a potential invasive in Sri Lanka. Recently concluded studies revealed that it is naturalized in the wet zone of Sri Lanka. Though this plant has not yet been recognized as an invasive plant elsewhere in the world, the current rate of spread suggests that it might become an invasive plant in the near future in Sri Lanka. Hence, present study was conducted to gain an insight into the ability of L. sedioides to regenerate via fragmentation. Shoots of six different lengths viz. 1, 2, 4, 6, 8 and 10 cm belonging to the two maturity stages (top and stem cutting) were grown in containers arranged in completely randomized design. Survival percentage and plant growth parameters were recorded in each treatment. All the fragments survived and significantly high survival percentages were recorded in all the fragments of top cuttings (70-86%) and fragments of stem cuttings greater than 6 cm. Mean length increments and root dry weights were significantly higher (P<0.05) in top cuttings. Further, mean root numbers were also significantly high in fragments of top cuttings higher than 2 cm. Hence the top cuttings performed better than stem cuttings. However, it is important to note that even a fragment of 1 cm is capable of surviving irrespective of maturity stage. Thus, it is vital to remove all the stem fragments during any attempts in mechanical control. In conclusion, as non-specialized fragments of L. sedioides can be formed throughout the year, it is suggested to exploit other control methods to prevent further spread.
Interactive comment on “Comparison of the aerosol optical properties and size distribution retrieved by Sun photometer with in-situ measurements at mid-latitude” by Aurélien Chauvigné et al

and a three wavelengths nephelometer respectively. Similar equipment is installed on the aircraft to provide vertical profiles σabs(z), σscat(z) and extinction coefficient σext(z)=σabs(z)+σscat(z). The analysis of measurements of aerosol characteristics in the atmospheric column and their vertical profiles obtained on board of aircraft is presented in a number of studies (see **). Several papers also discusses the effect of relative humidity on the absorption σabs(z) and scattering σscat(z) coefficients. This manuscript does not consider the vertical profiles of the extinction coefficient, however, some approaches and results (** and others) logical to use in current study. Is possible it will be useful in the interpretation of data and help to explain the significant difference between in-situ and Sun-photometer measurements. The above also applies to the particle size distribution function.
Driver profile classification on heavy trucks based on telemetry

This work proposes a method to create profiles for heavy-duty truck drivers describing their driving efficiency. It works with time series (TS) data about trips collected using telemetry technology. It also investigates the current approaches in the creation of driving profiles and grouping of time series data. Some example analysis are made using the proposed method with many validation metrics. The proposed solution (used in the analysis) groups the drivers based on the distributions of the main features. It is described the method to classify a new driver based on the profiles identified earlier. This method gives information about the weakness and strengths of drivers. The logistics’ companies can use this information to better train their drivers, allocate them to trips smartly, measure and reward their progress.
Building Capabilities to Deliver Megaprojects: Towards CH2M Evolution

Considering the context of high capital investment globally, there is a practical call for studies exploring the factors that could potentially improve the efficiency of megaproject deliveries. The aim of this paper is to explain how project-based firms learn from its involvement in a series of one-off complex megaprojects and build capabilities to better deliver them. The study has examined CH2M, a project-based firm with capabilities in civil engineering, consultancy and program management, that recently was recognized as the world leader company in program management services. The research design comprised a qualitative research via single case-study method in a project-based organization with multiple embedded megaprojects. The learning within and between these megaprojects has enabled the company to develop a set of capabilities which can be applied in a variety of different markets. These capabilities cover both hard and soft skills which are translated into technical and managerial areas. This research argues that the involvement in a series of one-off megaprojects is a different phenomenon to understand, offer a new type of project capability building challenge for companies and adds to the literature on project capability building processes. What was unexplored so far is the balance between exploitation and exploration (routine vs innovative projects) faced by organizations that generate their income by delivering a portfolio of projects that includes, and is heavily influenced by, its involvement in repeatable large and complex megaprojects. Those organizations need to recognize the dilemma between the central corporation and the projects at the boundaries of the firm, as well as the necessity of creating and maintaining a balance at different levels, project, program and portfolio. All levels are constantly evolving and influencing each other, changing the organization as a whole towards the projects, following the logic embedded in the business model of projectbased organizations.
Photometric Bundle Adjustment as a Reﬁnement Step after Feature-based Structure-from-Motion Report for the Practical Course Vision-based Navigation

Structure-from-Motion (SfM) is the task of reconstructing 3D structure from its projections into a collection of unordered images taken from diﬀerent viewpoints. SfM can be tackled following either an indirect or a direct formulation. In this work we build on top of a feature-based SfM system and use photometric Bundle Adjustment to further reﬁne camera poses and structure, which reduces the Absolute Trajectory Error (ATE). We also explore the addition of new landmarks to the map. Running full photometric Bundle Adjustment on the extended map brings the ATE even further down.
Predicting the potential distributions of two alien invasive Housegeckos (Gekkonidae: Hemidactylus frenatus, Hemidactylus mabouia)

Globalization has led to an increased spread of alien invasive species, which can alter mutualistic relationships, community dynamics, ecosystem function, and resource distributions. They can cause extinctions thereby affecting local and global diversity. Among reptiles two gecko species, Hemidactylus frenatus and Hemidactylus mabouia, have considerably increased their range during the last century. Both have already caused local decimations and extinctions of native species. Records of invasive populations of H. frenatus are known from tropical Asia through Central America and Florida, whilst invasive populations of H. mabouia can be found in Central and Southern Africa, as well as in large parts of Central and South America. Only a few sympatric populations are known. Herein, we identify areas potentially suitable for the geckos using a climate envelope approach, we predict their potential distribution under current conditions and a future climate change scenario, and try to assess why sympatric populations of both geckos are apparently rare. Our results suggest that areas of suitable climatic conditions for both species can be found in nearly all tropical regions. Future projections revealed that the amount of climatically suitable areas will increase for H. frenatus on a global scale, but decrease for H. mabouia. The greatest changes are suggested for South America where further spreading of H. frenatus will be enhanced due to better climatic conditions. In contrast, climatic conditions for H. mabouia will degrade in this region. We conclude that both competitive exclusion and a non equilibrium in the ranges of the species explain the virtual absence of sympatric populations, although the impact of climate on competitive success is pending further testing in the field.
Large-eddy simulation of wind farm aerodynamics

This research focuses on the development of large-eddy simulation (LES) of wind farm aerodynamics using computational fluid dynamics (CFD) software simulate the conditions wind farms go under with special interest in wake effects caused between turbines, and the effect on wakes when topography is included in these simulations. This report will focus on the development of LES models, the development of LES models of wind turbines to assess the downstream effect of the wakes caused by the wind turbines. To do this, simulations where created in ANSYS Fluent CFD solver and the results were analyzed and compared to each other. The first simulation in this research is a simulation of the lowest part of the atmosphere the atmospheric boundary layer (ABL). The preliminary ABL simulation shows that mixing at lower levels of the atmosphere can cause rapid changes in wind speeds with small elevations with the dominate changes occurring in the first 200 meters above ground level and this can play an effect on the shape of wind turbine wakes.
Effect of Methylene Blue-mediated Photodynamic Therapy on Wild-type and Ciprofloxacin-resistant Mycobacterium smegmatis

Tuberculosis (TB) patients are normally treated with a combination of antibiotics. However, with improper or incomplete treatment of antibiotics, the disease may progress to multidrug-resistant TB (MDR-TB). The treatment of MDR-TB is very costly and inefficient. Therefore, there is a great demand of new therapeutic approaches for MDR-TB such as photodynamic therapy. In this study, we tried to optimize the conditions for photodynamic inactivation of TB using methylene blue as a photosensitizer. Different combinations of methylene blue concentrations and light doses were tested for their photodynamic effects to A549 cells or Mycobacterium smegmatis (M. smegmatis). We also tested the effect of photodynamic therapy on ciprofloxacin-resistant M. smegmatis. Methylene blue treatment alone did not affect the survival rates of A549 cells or bacteria up to 5 μg/ml. When the A549 and M. smegmatis cells treated with methylene blue were irradiated with laser light (wavelength, 630 nm), photodynamic inactivation of cells was increased in methylene blue concentration- and light dose-dependent manners. Interestingly, the ciprofloxacin-resistant M. smegmatis exhibited higher level of susceptibility to methylene blue-mediated photodynamic inactivation. This study suggests that photodynamic therapy at 3.6 J/cm² in the presence of 5 μg/ml methylene blue may be an appropriate range for therapy due to the high bactericidal activity against high level of ciprofloxacin-resistant M. smegmatis and the low damaging effect to mammalian cells. This study demonstrates that photodynamic therapy could be a potential alternative for MDR-TB treatment.
PROS AND CONS FOR THE CORPORATE SOCIAL RESPONSIBILITY POLICY: EXAMPLE OF CISCO SYSTEMS

For quite some time people, companies and international organizations began to talk about the concept of sustainable development. Today, there are real examples of the company’s implementation of social responsibility. In our time, the ignoring of such concepts by firm executives jeopardizes moral, human, even criminal aspects, and also stimulates a drop in production and sometimes brings the firm to the bankruptcy zone, thus condemning its company to a slow extinction. However, it is interesting that not all organizations, including global ones, are thinking about this. What exactly can motivate these corporations to become socially responsible? Are there any real examples of companies that are interested not only in obtaining a positive economic profit? The study of these issues is one of the main objectives. But not everyone agrees with this statement. Some academics and scientists believe that this is contrary to the activities of any commercial company. As the discussion is under way, the relevance and timeliness of the topic can not be overemphasized.
Institutional History and the Resource Curse

This paper analyzes resource dependence under the lens of institutional age, measured in years. By omitting measures of institutional quality, we avoid biases and undue distortions in our data caused by the relationship between institutional quality and resource dependence. When focusing the 19 states found in the Middle East and North Africa, we find that institutional age has a large role relationship in the development of rentier states and their unhealthy dependence on resource extraction. The colonial history of institutions in the MENA region is also considered and is found to be partially significant in development outcomes.