Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of nanophase titania topography on bacterial attachment and metabolism

Surfaces with nanophase compared to conventional (or nanometer smooth) topographies are known to have different properties of area, charge, and reactivity. Previously published research indicates that the attachment of certain bacteria (such as Pseudomonas fluorescens 5RL) is higher on surfaces with nanophase compared to conventional topographies, however, their effect on bacterial metabolism is unclear. Results presented here show that the adhesion of Pseudomonas fluorescens 5RL and Pseudomonas putida TVA8 was higher on nanophase than conventional titania. Importantly, in terms of metabolism, bacteria attached to the nanophase surfaces had higher bioluminescence rates than on the conventional surfaces under all nutrient conditions. Thus, the results from this study show greater select bacterial metabolism on nanometer than conventional topographies, critical results with strong consequences for the design of improved biosensors for bacteria detection.
Emotional Intelligence among Under-Graduate Nursing Students: A Descriptive Study

1,2,3,4,5,6B.Sc. Nursing 4th Year Students, 7Tutor, 8Lecturer, National Institute of Nursing Education, PGIMER, Chandigarh, India. DOI: https://doi.org/10.24321/2581.5822. 201903 Introduction: Emotional Intelligence helps nurses to recognize and understand their own emotions and that of others. It significantly influences the performance of nursing students and thus the care of the patients. The objective of the study was to assess the emotional intelligence of under-graduate nursing students. Methodology: A cross-sectional descriptive research design was employed. Using total enumeration technique, 216 under-graduate nursing students were enrolled in the study. Ethical clearance was sought from Ethics Committee of National Institute of Nursing Education. Informed written consent was obtained from each subject. The data was collected using self-administered Dr. Ekta Sharma’s Emotional Intelligence Test (EIT). The data was analyzed using descriptive and inferential statistics. Results: About 81% of the nursing students obtained average scores, while 19.4% obtained high scores on EIT. The overall mean score on EIT was 207.92 + 14.95 with the range of 159 to 243. Domain wise, most of the nursing students obtained average scores. No significant association was found between EIT score and socio-demographic characteristics, family profile and variables such as reason for opting nursing profession, involvement in recreational activities, going outdoors with family and friends, visits to religious places, presence of support persons, satisfaction with nursing care provided to patients and self-perception. Conclusion: All the nursing students had some level of emotional intelligence. Programs to enhance emotional intelligence skills of nursing students should be organized periodically.
The Burkholderia pseudomallei Type III Secretion System and BopA Are Required for Evasion of LC3-Associated Phagocytosis

Burkholderia pseudomallei is the causative agent of melioidosis, a fatal infectious disease endemic in tropical regions worldwide, and especially prevalent in southeast Asia and northern Australia. This intracellular pathogen can escape from phagosomes into the host cytoplasm, where it replicates and infects adjacent cells. We previously demonstrated that, in response to B. pseudomallei infection of macrophage cell line RAW 264.7, a subset of bacteria co-localized with the autophagy marker protein, microtubule-associated protein light chain 3 (LC3), implicating autophagy in host cell defence against infection. Recent reports have suggested that LC3 can be recruited to both phagosomes and autophagosomes, thereby raising questions regarding the identity of the LC3-positive compartments in which invading bacteria reside and the mechanism of the autophagic response to B. pseudomallei infection. Electron microscopy analysis of infected cells demonstrated that the invading bacteria were either free in the cytosol, or sequestered in single-membrane phagosomes rather than double-membrane autophagosomes, suggesting that LC3 is recruited to B. pseudomallei-containing phagosomes. Partial or complete loss of function of type III secretion system cluster 3 (TTSS3) in mutants lacking the BopA (effector) or BipD (translocator) proteins respectively, resulted in delayed or no escape from phagosomes. Consistent with these observations, bopA and bipD mutants both showed a higher level of co-localization with LC3 and the lysosomal marker LAMP1, and impaired survival in RAW264.7 cells, suggesting enhanced killing in phagolysosomes. We conclude that LC3 recruitment to phagosomes stimulates killing of B. pseudomallei trapped in phagosomes. Furthermore, BopA plays an important role in efficient escape of B. pseudomallei from phagosomes.
Analysis of radiowave propagation in a four-layered anisotropic forest environment

Propagation of electromagnetic waves in forest environments is examined in which both the transmitting and receiving points are located in the trunk layer of a four-layered anisotropic forest model. This propagation model considers the forest as a horizontally stratified, anisotropic media of canopy and trunk, bounded by ground below and air above. The electromagnetic fields are obtained using dyadic Green's functions in their eigenfunction expansion forms for an anisotropic four-layered geometry. Analytical results are found for the fields, which consist primarily of three wave modes: a direct wave, multiply reflected waves, and lateral waves. These field constituents are compared, and their domains of preponderance are calculated; it is found that the lateral wave plays a major role in communication at large distances. Radio losses for typical forest are calculated to illustrate numerical application of the forest model.
A novel topology based watershed segmentation

We propose a novel method for watershed segmentation based on the topological properties of triangular irregular networks (TIN) associated with input images through their height fields. The classical watershed segmentation is very sensitive to the initial markers definition. In order to avoid undesirable effects such as oversegmentation, we propose to use topological features, such as critical points, to extract meaningful markers. Critical points based watershed algorithm is developed and implemented to carry out grey scale image segmentation. Unlike the classical watershed algorithms, which rely on a flooding simulation starting from the gradient's image minima, the proposed technique defines growing regions for both maxima and minima. It therefore uses the grey scale image directly and avoids noise amplification that results from the gradient operator. Experiments demonstrate that this method provides a good segmentation procedure for gray-scale images.
PENERAPAN VIDEO GAME TERHADAP DISFUNGSI KOGNITIF PASIEN SKIZOFRENIA: A LITERATURE REVIEW

Skizofrenia merupakan gangguan mental berat yang mengalami gangguan perkembangan otak serta ditandai dengan penyimpangan perilaku dan kognitif. Pasien skizofrenia selain mengalami gejala positif, pasien juga mengalami penurunan kognitif yang merupakan salah satu dari gejala negatif. Terapi farmakologi dapat mengurangi penurunan fungsi kognitif, namun terapi ini tidak bisa menghilangkan masalahnya sehingga perlu ditelusuri hasil penelitian terkait terapi nonfarmakologis. Salah satu terapi non-farmakologi yang digunakan adalah video game. Tujuan dari tinjauan literatur ini adalah untuk meninjau artikel hasil penelitian video game yang dapat digunakan untuk memperbaiki fungsi kognitif dan dapat diterapkan pada pasien skizofrenia. Metode yang digunakan dalam tinjauan sistematik ini dengan mencari, menyaring dan menganalisa artikel dari internet dari tahun 2008 hingga 2017 berdasarkan kata kunci yang ditetapkan seperti yaitu “ Schizophrenia, cognitive dysfunction, cognitive impairment, cognitive therapy, video games, cognitive dysfunction in schizophrenia, therapy for cognitive dysfunction in Schizophrenia” melalui database Google Scholar, ProQuest dan Perpusnas Indonesia. Hasil dari tinjauan literature menunjukkan peningkatan memori kerja, persepsi, penalaran, perhatian, fungsi eksekutif dan problem solving . Semua literatur mengenai penerapan video game yang didapatkan memiliki hasil yang signifikan dalam memperbaiki disfungsi kognitif pasien skizofrenia. Video game juga merupakan jalan penelitian yang menarik dan relevan serta berpotensi dalam meningkatkan fungsi kognitif. Rekomendasi bagi peneliti selanjutnya diharapkan dilakukan tinjauan literatur yang lebih spesifik dari segi data demografi, dan hasil yang lebih signifikan dan terapi lainnya yang lebih bermanfaat bagi pasien skizofrenia terutama dalam memperbaiki masalah disfungsi kognitifnya. Kata Kunci : Skizofrenia, Disfungsi Kognitif, Video Game
WASP family proteins, more than Arp2/3 activators

Wiskott–Aldrich syndrome protein (WASP) family proteins have been extensively characterized as factors that promote the nucleation of actin through the activation of the protein complex Arp2/3. While yeast mostly have a single member of the family, mammalian cells have at least six different members, often with multiple isoforms. Members of the family are characterized by a common structure. Their N-termini are varied and are considered to confer spatial and temporal regulation of Arp2/3-activating activity, whereas their C-terminal half contains a polyproline-rich region, one or more WASP homology-2 (WH2) actin-binding domains and motifs that bind directly to Arp2/3. Recent studies, however, indicate that the yeast WASP homologue Las17 is able to nucleate actin independently of Arp2/3 through the function of novel G-actin-binding activities in its polyproline region. This allows Las17 to generate the mother filaments that are needed for subsequent Arp2/3 recruitment and activation during the actin polymerization that drives endocytic invagination in yeast. In this review, we consider how motifs within the polyproline region of Las17 support nucleation of actin filaments, and whether similar mechanisms might exist among other family members.
An SVM based Statistical Image Quality Assessment for Fake Biometric Detection

A biometric system is a computer based system a n d is used to identify the person on their behavioral and logical characteristics such as (for example fingerprint, face, iris, keystroke, signature, voice, etc.). A typical biometric system consists of feature extraction and matching patterns. But nowadays biometric systems are attacked by using fake biometric samples. This paper described the fingerprint biometric techniques and also introduce the attack on that system and by using Image Quality Assessment for Liveness Detection to know how to protect the system from fake biometrics and also how the multi biometric system is more secure than uni-biometric system. Support Vector Machine (SVM) classification technique is used for training and testing the fingerprint images. The testing onput fingerprint image is resulted as real and fake fingerprint image by quality score matching with the training based real and fake fingerprint samples.
Stable states of a relativistic bilocal stochastic oscillator: a new quark-lepton model

The authors analyse a stochastic linearised extension of the Yukawa-Takabayasi-Feynman bilocal oscillator model and show that: (a) the external Poincare group P commutes with an internal extension of the Lorentz group, i.e. U(1)(X)SO(6,2); (b) the corresponding internal fundamental spinor representation of the associated D4 algebra yields eight quarks and eight leptons, which correspond to heuristic proposals of Nambu and Salam.
Protecting cryptographic keys and functions from malware attacks

Modern commodity operating systems, running on commodity hardware, are frequently used to store cryptographic keys and/or to perform cryptographic functions such as digital signatures. The importance of their security can hardly be overestimated because of the following: Digital signatures can not only be used for binding agreements and authenticating Web sites, but are also used for code authentication, including authenticating software updates, such as the widely-used Microsoft Windows Automatic Update. Cryptographic keys are used to encrypt sensitive personal data stored on commodity operating systems. While security of cryptographic primitives and protocols has been well-understood in abstract models, there is relatively little understanding and study of the security of cryptography on real commodity systems. Furthermore, while one could exploit special hardware to ensure security of cryptographic keys, it is even more difficult to protect cryptographic functions because an attacker can compromise a cryptographic function by compromising any of many different points in the invocation process, including libraries and the operating system. We examine the problem of protecting cryptographic keys and cryptographic functions on commodity hardware and operating systems, with a focus on combating attacks committed by software, primarily malware. Specifically, we make two significant technical contributions: (1) We demonstrate a technique for performing encryption without having the cryptographic key in memory, thereby alleviating RAM disclosure attacks against keys. (2) We create a system for protecting both cryptographic keys and digital signatures from being disclosed or abused (respectively) by malware, while allowing security properties of the signatures to be verified offline by remote parties. As such, this thesis moves a significant step towards bridging the gap between security properties of cryptosystems in abstract models and the needs of security assurance in real-life systems. Our results are also generally applicable to maintaining confidentiality and security of non-cryptographic secrets and functions.
Resolving user identities over social networks through supervised learning and rich similarity features

This paper describes an approach for resolving user identifiers in the context of social networks, using techniques from the area of duplicate record detection [1]. We reduce the user identity resolution problem into a binary classification task, where the goal is to classify pairs of identifiers as either belonging to the same person or not. The pairs are represented as feature vectors that combine multiple sources of similarity (e.g. similarity between profile information, descriptions of people's interests, and people's friend lists). We report on a thorough evaluation of different machine learning algorithms and different feature sets, concluding that user identities can be resolved with high accuracy.
Daphnids: Keystone species for the pelagic food web structure and energy flow. - A body size-related analysis linking seasonal changes at the population and ecosystem levels

Seasonal changes of the impact of daphnids on the plankton biomass size distribution, the biomass within individual size ranges, the average predator-prey weight ratios, and the efficiency to transfer matter and energy from small to large organisms are analysed in large and deep Lake Constance based on comprehensive long-term observations. A comparison of daphnid biomass and production with those of other herbivorous groups (i.e., ciliates, rotifers, herbivorous crustaceans) reveals that in early spring daphnids play a minor role in relative and absolute values as compared to small fast-growing ciliates. During this time, small algae and ciliates dominate which gives rise to a decreasing Sheldon-type size spectrum, low predator-prey weight ratios, and a low transfer efficiency along the size gradient. Around June, daphnids reach maximum abundances and become keystone species for the shape of the biomass size distribution, the food web structure, and the energy flow. They accumulate biomass in their size range one order of magnitude above the average. The slope of the normalized biomass size spectrum is less negative and positively correlated with daphnid biomass if the latter exceeds about 200 mgC/m 2 • This indicates a more efficient transfer along the size gradient with high predator-prey weight ratios and high trophic transfer efficiencies. The coefficients of determination of regression lines fitted to size dis­ tributions decrease with daphnid abundance, i.e., the size spectra become more irregular when daphnids dominate. In midsummer, daphnids lose their dominance and co-exist with other herbivores (especially ciliates) in a highly diverse plankton community. The latter gives rise to a relatively smooth and almost flat Sheldon-type size distribution, lower predator-prey weight ratios, and a slightly reduced transfer efficiency along the size gradient. In late spring/early summer, negative relationships are found between daphnid biomass and the biomasses in the size ranges of autotrophic picoplankton, small phytoplankton, heterotrophic flagellates, and small and medium-sized ciliates (0.06-32 pgC and 100-30,000 pgC). In mid- and late summer or on an annual average, hardly any of these relationships existed. This cannot solely be attributed to lower daphnid abundance, but points also to a more diverse control of small plank­ ton organisms including nutrient limitation in summer. Ciliates influence the slope and shape of the size distribution much less than daphnids although they are at least of equal importance as daphnids in respect to herbivory and related fluxes in Lake Constance on an annual average. The fin9ings on the impact of daphnids on the energy flow within the plankton food web derived from size distributions are compared to and are consistent with results obtained by mass-balanced carbon flow diagrams.
Holding the center : memoirs of a life in higher education

Howard Wesley Johnson has been associated with MIT for more than forty years and been a major influence on the modernization and expansion of many of its programs. He will be most remembered as a management educator and as MIT's president during the turbulent late 1960s and early 1970s. The title of his memoirs reflects his central, usually lonely position in those days, trying to hold together an institution often torn apart by the turmoil of the times. Johnson was more successful at navigating the minefields on campus than were many other college and university presidents, perhaps because he was always willing to listen to both sides and because his values were in the right place--against the war in Vietnam, in favor of increased participation in the university by women and minorities, and concerned about environmental issues. As a professor and administrator at MIT, a corporate director, and an advisor to American government agencies and to museums and foundations, Johnson consistently sought both to understand and to apply the principles of good management.
Synthesis and Characterization of Silver Oxide Nanoparticles by a Novel Method

Silver oxide (Ag2O) nanoparticles were synthesized through a simple chemical method using silver nitrate (AgNO3) in the presence of polyethylene glycol (PEG) as reducing agent. In current study, synthesis process by maintaining the solution pH using sodium hydroxide (NaOH) solution was investigated and compared. Zetasizer Nano series, X-ray diffraction (XRD) analysis, and Fourier transform infrared spectroscopy (FT-IR) studies were performed to confirm the size distribution measurement, chemical compound composition, crystallographic structure and functional group corresponding to Ag-O. Silver nanoparticles synthesized in the form of silver oxide were confirmed by the XRD study.
COLLEGE ATTENDANCE RATIONAL CHOICE: MODELING AND EMPIRICAL ESTIMATIONS

Previous findings of economic literature pointed out that there is significant correlation of family characteristics and family background with an individual's rational choice of education. However, variable of abilities was omitted. This study develops and estimates the model of rational choice of college attendance with respect to agent's individual and family characteristics as well as abilities to meet college requirements. Paper concludes significant impact of an individual's cognitive abilities on his rational educational choice. Additional finding is that gender of individual has dual effect on his educational choice. First is negative via income mechanism. And the second is positive via motivation mechanism to compensate an income gap. Southern Illinois University at Carbondale, for his support and supervision on this research paper. His invaluable assistance and guidance on methodological framework of this project was extremely helpful. Also, I would like to thank docent of department of economic theory at Sumy State University (Ukraine), Candidate of Science in economics Maxym V. Brykhanov for his great help in developing and expressing ideas of this research project as well as his invaluable moral support and inspiration. (Canada) for his help and sharing his experience in collecting statistical data for this research paper. INTRODUCTION Human capital studies took a solid part of economic literature over the past decades. Scientists were interested in the impact of education on different aspects of social wellbeing starting from wellbeing of individual and concluding by government policy directed at educational development stimulation. The question, of what exactly enforces an individual to invest his time and other restricted resources in his education, is still open. Numerous scientists try to answer this question using different approaches. Manski (1992) uses simulation based on modeling of high school student's behavior based on family income. He concludes that school choice will not have significant impact under condition of equalizing choice opportunities for different income groups. Wilson (2001) builds and estimates high school graduation model based on family background and expected income based on observations of previous cohorts educational outcome. She concludes a significant impact of income expectations on the high school graduation choice. Previous studies found significant correlation of family background characteristics, childhood environment, expected income with either schooling attainment or duration of education at different levels. But all these studies are missing such an important parameter as individual's ability to study at a certain academic level. This research is dedicated to fulfill this gap …