Miracle-dz/UniFAR-FTUs huggingface dataset:
RESIDENTS’ SATISFACTION WITH THE USE OF GREEN INFRASTRUCTURE IN OSOGBO, OSUN STATE, NIGERIA

Uncontrolled Urbanization particularly in developing cities has exerted enormous pressure on green infrastructure which has led to their conscious and unconscious conversion to other land uses. This study investigates the residents’ satisfaction and awareness on the use of green infrastructure (GI) with a view to creating a functional environment. Primary data were obtained from field observations where 166 pretested questionnaires were administered in a stratified random sampling manner on the respondents while secondary data were obtained from conventional sources. Data analysis made use of computations of the Residents’ Satisfaction Index (RSI) and principal component analysis. Results revealed that RSI was highest at 2.60; lowest at 1.93 and average at 2.29 while the deviations from the mean of the highest and the lowest RSI were +0.31 and -0.04. The factor analysis generated four (4) underlying dimensions of the respondents’ view on GI, which made good conceptual sense and explained a total variable of 72.24% of the observed variance. The factors on GI were named as; awareness (27.8%), management (19.98%), provision (13.34%) and type (11.12%). The planning implication is that efforts should be made to increase residents’ satisfaction on variables with low RSI on GI to promote recreation, environmental awareness, beauty, flood reduction and the fight against climate change to uphold an environment that is in harmony with nature.
f¨ur Mathematik in den Naturwissenschaften Leipzig

Recent progress in the eﬃcient computation of discretized multi-dimensional operators and functions by tensor product operations allows to reconsider some bottleneck problems in the computational quantum chemistry. In this paper we present the tensor-structured technique for fast and accurate ab initio evaluation of the exchange Galerkin matrix in the Hartree-Fock equation. The core of our approach is the tensor representation of all involved functions and operators on 3D Cartesian grid, and implementation of the corresponding algebraic operations in the tensor product format. Due to linear scaling of tensor operations with respect to the one-dimension grid size we achieve the desired high accuracy of computations on huge 3D Cartesian grids up to size 16384 3 . Contrary to conventional methods, the proposed computational scheme is neither restricted to the obligatory “analytically separable” rank-1 basis sets like Gaussians, nor to problem independent bases like plane waves. Along with the recent tensor-structured algorithms for the evaluation of the Coulomb matrix, eﬃcient tensor product approximation of the exchange operator pioneers the way to the numerical solution of the Hartree-Fock equation on 3D Cartesian grid in a tensor-structured format.
Ultimate strength of stiffened panels with circular cut-outs under in-plane compression

The ultimate longitudinal strength of a ship may be significantly affected by large scale rupture damage to areas of the primary structure such as the side shell or double bottom. A numerical method to account for damaged ultimate strength must therefore be able to account for the loss in strength due to a rupture hole, which may extend over several frame spaces within the damage zone. The hole may change the governing failure mode of the panel and a method to predict the ultimate strength of the panel must take the mechanism of collapse into account. This is of particular importance to high speed craft which are relatively lightly stiffened. This paper presents an investigation into the effect of hole size and location on the buckling characteristics of a series of stiffened panels, which is of use for improving the development of numerical tools to predict the damage strength of a hull girder.
Speaker separation in multi-channel environment using deep learning

: This paper addresses multi-channel speaker separation based on a deep delay-and-subtraction beamformer. Deep neural network (DNN) is ﬁrst applied to estimate the delay time between speakers and microphones , and then speakers’ speech is recovered from mixed signals by using a delay-and-subtraction algorithm. We evaluated our method by using simulated data made from WSJCAM0 database. The proposed method achieved high precision source localization, and about 62% relative improvement on word error rate (WER) over a delay-and-sum (DS) beamformer.
Performance evaluation of incremental materialized view maintenance in ORDBMS

A materialized view is a derived relation stored in the database, resembles like tables and behaves like indexes. Because of the query intensive nature of data warehousing or online analytical processing applications, materialized view is quite promising in efficiently processing queries to improve query performance. When a base relation is updated, all its dependent materialized views have to be updated in order to maintain the consistency and integrity of the database in response to the changes in the base relation. It is costly to rematerialize the view each time a change is made to the base tables that might affect it and it is desirable to propagate the changes incrementally. Hence, all of the views cannot be materialized due to the maintenance cost. So, it is necessary to evaluate the performance of incremental materialized view maintenance and to determine the circumstances in which a view is beneficial to be materialized for faster query performance. It is also necessary to dynamically select a subset of views from a set of views queried at a particular time period based on the query processing cost and view maintenance cost. A methodology has been developed based on the performance affecting factors like view selectivity, complexity and database size to evaluate the performance of incremental view maintenance and to determine the situations a view is profitable for materialization by computing the incremental propagation cost, query answering cost and relative costs of query answering versus propagating a materialized view. After this a dynamic cost model has been designed incorporating the above mentioned factors as well as query access frequency, execution time, table update frequency and view maintenance cost to select a subset of views from a set of views for materialization and to replace the old materialized views that are no longer in use or the materialized view access frequency is too low. A number of algorithms have been designed and mathematical equations have been developed to define the dynamic threshold level. At the end, experimental results have been carried out for the incremental maintenance performance evaluation and on dynamic view selection and removal by using synthetic and real data sets with different characteristics in object-relational database. The outcome of the thesis reveals that the incremental maintenance is always cost effective. Finally, dynamic view selection for materialization and removal of old materialized views is explored based on dynamic threshold level.
CMOS Integrated Impedance Sensor Arrays for Cell Adhesion Measurement

This thesis presents a CMOS integrated sensor for impedance measurements with cultured cells. A model of the impedance under study, comprising contributions of the electrode, the electrolyte, and the cells, was developed using a combination of analytical and numerical techniques. Based on the model, boundary conditions were derived and a suitable conversion principle was chosen and implemented. The sensor was produced in a 0.35 micron standard CMOS technology with additional process steps for manufacturing gold electrodes. The chip features 64 positions for sensing the cellular impedance, which are addressed and read out by an integrated circuit. The performance of the sensor was verified experimentally. Cell adhesion and death could be detected reliably, and different levels of local cell coverage could be resolved. Due to the localized measurement, fluctuations of the impedance caused by movements of the cells could also be resolved.
Action orientation in design methodology.

“Don’t think, observe! ” demanded Ludwig Wittgenstein from his readers in order to overcome academic prejudices on human speech. We demand from the readers of this paper that they follow us through part of a development process and compare our observation with their own design experience. Afterwards, we consider the question “Where does ‘good design’ emerge in the product development process? ”. In our opinion, an unprejudiced analysis of the observation reveals that ‘good design’ mainly has to be elaborated upon “between” the methodical landmarks of the development process. Because of this, we suggest a model of the basic development process which distinguishes between a level of action and a level of results. A survey of the development methods available, shows that most of them are description and documentation oriented design methods which focus on structuring the level of results. Only a few, albeit the more popular development methods, support concrete design work on the level of action. This fact indicates that we should review the assumptions upon which we base the development of new design methods. In particular, methods coming from the academic community tend to ignore the basic laws of design work on the level of action. This is the reason why we will try to state, once again, the laws of design action using concepts coming from the psychological theory of action. We will conclude our paper by defining design work as a discursive process and showing some of the consequences which arise from this understanding for the development of methodical support.
The Crystal Structure of 3 - 2 -Enoyl-CoA Isomerase

The active-site geometry of the first crystal structure of a 3 - 2 -enoylcoenzyme A (CoA) isomerase (the peroxisomal enzyme from the yeast Saccharomyces cerevisiae) shows that only one catalytic base, Glu158, is involved in shuttling the proton from the C2 carbon atom of the substrate, 3 -enoyl-CoA, to the C4 atom of the product, 2 -enoyl-CoA. Sitedirected mutagenesis has been performed to confirm that this glutamate residue is essential for catalysis. This 3 - 2 -enoyl-CoA isomerase is a hexameric enzyme, consisting of six identical subunits. It belongs to the hydratase/isomerase superfamily of enzymes which catalyze a wide range of CoA-dependent reactions. The members of the hydratase/ isomerase superfamily have only a low level of sequence identity. Comparison of the crystal structure of the 3 - 2 -enoyl-CoA isomerase with the other structures of this superfamily shows only one region of large structural variability, which is in the second turn of the spiral fold and which is involved in defining the shape of the binding pocket. # 2001 Academic Press
“Sprint: How to Solve Big Problems and Test New Ideas in just Five Days”

“Sprint: How to Solve Big Problems and Test New Ideas in just Five Days” is a book about innovation. Sprint is a one-week-long innovation process that contains five 7 to 8 hours working days and a quite strict script to follow. Sprint week starts from mapping out the problem and ends in prototyping and feedback from the product or service. At first, I was little bit skeptic when I started to read this book. Overall there are way too many books that foists one solution to all problems. But the more I got into this book the more I thought it offered something new and fresh.
GAYAN KANCHANA WIJESINGHE EFFECT OF TRUE CINNAMON (Cinnamomum verum) LEAF OIL AGAINST IN VITRO Candida BIOFILMS AND ITS CYTOTOXIC EFFECT

The essential oil extracted from Cinnamomum verum leaves has been used as an antibacterial and antifungal agents for centuries. The objective of this research was to evaluate the antifungal activity of the C. verum leaf oil against standard strains of C. albicans (ATCC MYA-2876), C. tropicalis (ATCC 750) and C. dubliniensis (ATCC MYA-646). Effect of C. verum leaf oil in vapor phase was evaluated using microatmosphere technique. CLSI M27-A3 broth microdilution was employed in determining MIC and MFC. Time requires to kill planktonic Candida cells, effect on initial adhesion and on germ tube formation were evaluated using standard protocols. Effect of C. verum leaf oil on forming biofilm was quantified using XTT viability assay, visualized using Scanning Electron Microscope (SEM) and the biofilm progression in the presence of essential oil was visualized using Time lapses microscope. Effect of Cinnamon leaf oil on established biofilms of test strains were quantified and visualized using XTT viability and SEM respectively. Post exposure intracellular changes were visualized using Transmission Electron Microscopy (TEM). Toxicological assessments were carried out with Human Keratinocyte cell line (HaCaT) and Galleria mellonella larvae animal model. Commercial antifungal agent Chlorhexidine digluconate was used as positive control. All experiments were done in triplicates. Multiple means of more than three data sets were compared using one way ANOVA and two way ANOVA. The level of significance was taken at 5% (p < 0.05). Eugenol was the most abundant chemical compound in Cinnamon leaf oil. All test strains were susceptible for C. verum leaf oil vapor. C. verum leaf oil exhibited MIC value 1.0 mg/ml and MFC value 2.0 mg/ml against all test strains while Chlorhexidine exhibited MIC value of 1.0 mg/ml and MFC, 2.0 mg/ml with C. albicans and C. dubliniensis. MIC and MFC for C. tropicalis with Chlorhexidine was 0.5 mg/ml. Killing time of Cinnamon leaf oil for C. albicans was 6h. 50% reduction in initial adhesion was achieved with 1.0 mg/ml, > 2.0 mg/ml and 0.34 mg/ml by C. albicans, C. tropicalis and C. dubliniensis respectively. 0.5 And 1.0 mg/ml significantly inhibit the germ tube formation of C. albicans and C. dubliniensis. Minimum Biofilm Inhibitory Concentration (MBIC50) for forming and established biofilms were <0.2 mg/ml for all test strains. C. verum leaf oil caused retardation in biofilm development. SEM images exhibited cell wall damages, cellular shrinkages and decreased hyphal formation of Candida. TEM indicated intracellular vacuolation, cell wall damages and cytoplasmic granulation. Cinnamon leaf oil caused no inhibition of HaCaT cell at maximum concentration tested (1000 mg/ml). Essential oil of Cinnamon leaf didn’t exhibit a lethal effect at any concentration tested on G. mellonella in vivo assay. C. verum leaf oil is a potential alternative anti-Candida agent with minimal toxicity.
A molecular dynamics study on melting point and specific heat of Ni 3 Al alloy

Using the Embedding Atom Method (EAM) for highly undercooled Ni 3 Al alloy, the melting point and the specific heat were studied by a molecular dynamics simulation. The simulation of melting point was carried out by means of the sandwich method and the NVE ensemble method, and the results show a good agreement, whereas are larger than the experimental value of 1663 K. This difference is attributed to the influence of surface melting on experimental results, which causes the smaller measurements compared with the thermodynamic melting point. The simulated specific heat of Ni 3 Al alloy weakly and linearly increases with the increase of undercooling in the temperature range from 800 K to 2000 K. The rapid solidification process with low cooling rate can be obtained by using high undercooling conditions, which overcomes the limit of heat transfer during the quenching and is an effective manner to carry out the rapid solidification of bulk melts. The quantitative investigation of the rapid solidification under high undercooling requires enough accurate thermodynamic data of undercooled melts, whereas they are often lacking in handbook [1] . To date, the experimental measurements of thermodynamic properties of undercooled metal are performed by various levitation technologies such as electromagnetic levitation and acoustic levitation [2,3] . These contain-erless processing methods can effectively avoid the heterogeneous nucleation induced by the container wall and are in favor of large undercooling. Due to the high cost of experimental measurements,
6: THE DONORS NEXT DOOR; RAISING FUNDS FROM FACULTY FOR FACULTY DEVELOPMENT CENTERS

As a result of waning institutional support and charitable foundation interest, teaching and learning centers and other faculty development units may have little choice but to turn to private donors. Although faculty and staffgiving is an important part of higher education [undraising, considering faculty as potential donors for faculty development centers is uncommon. In this chapter, we provide information on faculty and staff giving, review the related literature, share findings from a new study on faculty major donors, and provide a series of recommendations, stemming from the literature and the major donor study, to inform fundraising efforts by faculty development centers.
Semantic Meta Model for the Description of Resource and Energy Data in the Energy Data Management Cycle

Energy efficiency is a critical competitive factor. Transparency of energy consumption is the key for increasing efficiency of production. For this purpose, existing energy data management systems collect data such as power, gas or water consumption on field level, save them in databases, and aggregate them in reports. However, the identification of saving potentials and the definition of efficiency measures is carried out by energy experts and thus is dependent on a person’s knowledge. The documentation of knowledge about saving potentials and measures does not take place and relations among data and knowledge of various domains are not captured. In this paper, we provide an approach that allows the holistic capture and description of data and knowledge relations. Through the use of an ontology-based meta model, consumption data can be augmented with information about time and place of capture, data type, intended purpose and permissions, as well as interfaces to other systems and relations to knowledge elements. The semantic model is to capture relevant requirements of all information demanders within the energy data management cycle. Therefore, the model is capable of detecting efficiency deficits and retrieving relevant energy efficiency measures within a knowledge base. Thus, energy consumption data can be efficiently used and knowledge about efficiency can be sustainably preserved.
Synthesis and biological evaluation of 1-acetyl-5-substituted aryl-3-(β-amino naphthyl) - 2-pyrazolines.

The pyrazoline is an important five membered heterocyclic ring system which has inspired many researchers to carry out structural variations in the ring, which has propelled the development of varied pyrazolines with an array of pharmacological activities. On the other hand naphthalene has been identified as a new range of potent antimicrobials effective against wide range of human pathogens. The present work is aimed to synthesize the novel derivatives of naphthalene substituted pyrazolines and to explore the potentiality of the derivatives as antioxidant and antibacterial activities. The intermediate βamino naphthyl substituted chalcones were prepared by refluxing β-acetylamino naphthalene with various aromatic aldehydes in presence of NaOH. The intermediate is treated with hydrazine hydrate in presence of glacial acetic acid and ethanol to yield the title compounds 1-acetyl-5-substituted aryl-3-(βaminonaphthyl)-2-pyrazolines (4a-j). The synthesized compounds were screened for their antibacterial activity against four strains of bacteria namely Bacillus subtilis and Staphylococcus aureus (grampositive), Escherichia coli and Staphylococcus aureus (gram negative) by agar well diffusion method. The antioxidant activity was also evaluated by reduction of DPPH and Nitric oxide scavenging activity methods. Among the synthesized compounds, 4-methoxy (4c) derivative exhibited moderate activity against all the strains of the bacteria except towards Escherichia coli. 4-methoxy (4c), 3,4-dimethoxy (4d), 3,4,5-trimethoxy (4e) and 4-hydroxy (4j) derivatives showed moderate antioxidant activity.
Investigating DNS Hijacking Through High Frequency Measurements

Targeted security threats from resourceful adversaries have become a constant phenomenon on the Internet. One particularly effective attack vector is the Domain Name System (DNS). By compromising the DNS registrar, an attacker can manipulate arbitrary name records of the victim company, resulting in potential compromise of all incoming and internal emails, allowing for highly targeted phishing of login credentials, and a number of other attacks. This thesis examines the prevalence of such DNS hijackings through active scanning measurements of potentially targeted domains and companies.As part of this work, we implemented and deployed a scanning infrastructure that queries domain name records of a large set of potential targets at high frequency. For further analysis, we also run scans of Transport Layer Security (TLS) certificates, as well as full website crawls when changes are detected.Over a period of three months, this system collected measurements for 58,000 aerospace related domains. 86% of the scanned domains were stable over the entire measurement period and a majority of the observed DNS changes were caused by content delivery networks and load balancing. We searched this data for attacks using heuristics based on previous DNS hijacking attacks. Although, given our observations, we have not been able to detect ongoing attacks so far, we did observe some anomalies and unspecified behavior. The analysis also showed that short-lived changes occur frequently and we attempt to categorize these by potential causes. Finally, we discuss further improvements to better detect attacks in the future.