Miracle-dz/UniFAR-FTUs huggingface dataset:
ON CLOUD OF THINGS VULNERABILITY Spring 2018 : 2018

Every day, a new publication on information systems highlights about Cloud of Things (CoT) vulnerabilities; in most of these publications, vulnerability is quoted as the most substantial barrier for CoT realization. However, formulating a justifiable appraisement of the actual vulnerability impact on CoT is difficult because in many of these publications, the term security “vulnerability” is stated incorrectly as a threat or the publication does not discuss CoT-specific vulnerabilities. To achieve a wellfounded understanding of CoT vulnerabilities, this literature review identifies the major vulnerabilities and their security controls and to identify any gaps for future research. A systematic literature review (SLR) approach using 58 articles is considered for this review. Based on this review, a taxonomy is created to classify the existing CoT vulnerabilities and security controls. This literature review identifies and discusses similarities and differences among various vulnerability issues and solutions. Most reviews previously performed were limited to the threats to the application interface and virtualization level, whereas this SLR thesis expand to the vulnerabilities in connectivity and things level of CoT. This study emphasize the importance of a clear definition of cloud of things vulnerabilities and to facilitate better understanding and assessment of CoT vulnerabilities to build more secure systems.
Longitudinal Examination of Learning and Memory in Rats Following Adolescent Exposure to 3,4-Methylenedioxymethamphetamine or 5-Methoxy-N,N-Diisopropyltryptamine

A drug of abuse, Foxy or Methoxy Foxy gained popularity among recreational users as an alternative to MDMA (Ecstasy). Considerable research into the consequences of MDMA use is available, yet much remains unknown about the neurobiological consequences of Foxy use. In addition, research into the long-term neuropsychological repercussions associated with these two compounds remains incomplete. The goal of the present research was to explore the effects of MDMA or Foxy on cognitive processes associated with adolescent exposure considered over much of the lifespan. Here we investigated whether the reported effects following adolescent exposure resolved in early adulthood or continued throughout life. The protocol involved repeated doses of either MDMA or Foxy during the period defined as mid-adolescence (postnatal days 34 - 46) in rats, followed by the use of four series of learning and memory tasks repeated at different points in the rodent lifespan. At four time points in adulthood, the animals were trained and tested on a on a series of spatial and non-spatial memory tasks designed to assess the impact and severity of Foxy and MDMA. Oddly, MDMA-treated rats were impaired on a step down passive avoidance task. The performance of the drug-treated rats was markedly inferior to that of the control animals on more demanding water maze tasks, with some results suggesting a lack of flexibility in adapting to changing task demands. MDMA rats were the most impaired. While some persistent cognitive deficits were found, no significant group differences in serotonin or dopamine levels were found in any of the measured regions of the brain changes, cortical or subcortical. These results provide evidence for compromised neurocognition that continues long after drug exposure in the absence of any discernable changes in neurotransmitter levels. Several possible physiological and neurochemical mechanisms associated with these compounds requiring further study are also outlined.
Interactively Modeling and Visualizing Neighborhood Accessibility at Scale: An Initial Study of Washington DC

Walkability indices such as walkscore.com model the proximity and density of walkable destinations within a neighborhood. While these metrics have gained widespread use (e.g., incorporated into real-estate tools), they do not integrate accessibility-related features such as sidewalk conditions or curb ramps-thereby excluding a significant portion of the population. In this poster paper, we explore the initial design and implementation of neighborhood accessibility models and visualizations for people with mobility impairments. We are able to overcome previous data availability challenges by using the Project Sidewalk API, which provides access to 255,000+ labels about the accessibility and location of DC sidewalks.
Teachers' Perceptions on Transformational Leadership Based on Demographic Differences

Transformational leadership emphasizes emotions and values sharing and aims at fundamental reform of individuals and the whole organization capacity. It has contributed to development in terms of motivation and commitment in problem solving as well as implementation of reform initiative.The purpose of this study was to determine the level of transformational leadership in primary schools in Malaysia based on demographic differences. 144 primary school teachers from 24 schools in six district of Selangor were selected based on stratified random sampling. Data were collected based on survey method and were analysed using descriptive and independent t-sample test and one way-ANOVA. According to the findings the level of transformational leadership was high based on teachers' perceptions. Furthermore, result of analysis indicated that there among transformational leadership dimensions there was significant difference between national, chines and Tamil teachers' perception in individualized support and collaborative in decision making. The findings based on differences in transformation leadership by location showed that teacher perceptions in urban area higher in modelling behaviour and straight school culture than the rural teacher's perceptions. The findings of this study have implications for how close or far the schools move towards 2010 Malaysia vision and which transformational leadership factors need to be focused on more.
Differential gene expressions of NLRC5 signaling pathway in chicken macrophages cells response to Salmonella Enteritidisderived lipopplysaccharides stimulation

As we all known, NLRC5 recognizes intracellular pathogen-associated molecular patterns (PAMPs) and provokes innate immune system. Its role in innate immune response, NF-kB activation and MHC-I expression remains controversial. In the present study, it was detected that differential gene expressions in NLRC5 signaling pathway at 2, 4, 6 and 8 hours after exposure to LPS using qRT-PCR technology, then analyzed its roles in host defense. The results showed that, comparing to control groups, the expression of NLRC5, MHC-I and IL-18 in LPS-treated groups were significantly up-regulated at 2 hours post stimulation (hps), TLR4 and NF-kB showed conspicuously up-regulated at 4 hps, while STAT1 was significantly down-regulated at 8 hps. Collectively, LPS did evoke inflammatory responses and NLRC5 may negatively regulate NF-kB and critically regulate MHC-I to control intracellular PAMPs in chicken macrophage cell line but the specific role of NLRC5 in host defense relates to cell types and species tested.
FPGA BASED SYSTEM FOR DENIAL OF SERVICE DETECTION IN SMART GRID

The availability of cheap computing power and instrumentation electronics accompanied by the communication revolution has engendered a complete paradigm shift in the design and implementation of electrical grids. Power grids are envisaged to be transformed into “Smart Grids” incorporating a high degree of intelligence with a view to enhance the reliability and efficiency of generation, transmission and distribution systems. Real-time monitoring of grid parameters enables more effective management of power generation. Prevention of theft by means of smart metering is another major advantage. However, the large scale use of embedded systems, computing resources and communication networks makes the grid vulnerable to cyber attacks. These vulnerabilities can result in consequences ranging from diminished quality of service to catastrophic events such as line trips, extended blackouts and downright damage or destruction of assets. This paper gives a review of the current state-of-the art in cyber security for the smart grid environment. An FPGA based engine for detection of denial-of-service attacks in packets in an Ethernet link is also proposed.
Best practice guidelines for reducing the impact of commercial logging on great apes in Western Equatorial Africa

The conservation outlook of these endangered apes will improve significantly if forestry companies are prepared to make a few changes to management policies in logging concessions. These guidelines outline specific recommendations for reducing the impact of commercial logging on wild apes, many of which can be implemented within the framework of sustainable, reduced-impact logging at little or no additional cost. Advantages will also accrue for logging companies which rapidly implement these measures, allowing them to be recognized as ape-friendly timber producers.
Software Testing in Industry Assessing Unit Testing in an Industrial Software Project

Automated testing is an important technique to ensure the quality of a software system, and there is a general consensus in industry that testing is a critical part of the development process. However, recent studies suggest that unit testing is not that widely practiced. In this thesis, we studied an industrial software project called EPOF with respect to testing. We tried to answer the question whether the discovery of bugs pushes the writing of tests, whether unit tests help to prevent bugs, and whether the system’s architecture facilitates or impedes unit testing. To answer those questions, we studied the bug reports and associated bug fix reports of the project. Our results showed that the test coverage was rather low, and most bugs were fixed without adding or changing any tests, most bugs were detected by manual testers or customers and not by the existing tests and that the testability of the code is low in most parts of the system. In 2017, the development team decided to give unit testing higher priority. Our results show that this decision, together with other development process improvements, indeed had a positive effect on the bug rate and the testability of the system.
Coal Fly Ash Aerosol: Risk Factor for Lung Cancer

Aim: Coal fly ash (CFA) is a major contributor to ambient air pollution in China and India, but it is trapped and sequestered in Western nations. Members of the public chronically exposed to aerosolized CFA are likely to have an increased incidence of respiratory disease, including lung cancer. Our objective is to review the multiple carcinogenic constituents of aerosolized coal fly ash in connection with their potentiality to cause lung cancer. Methods: We review the interdisciplinary scientific and medical literature. Results: CFA contains a variety of potentially carcinogenic substances including aluminosilicates, an iron oxide-containing magnetic fraction, several toxic trace elements, nanoparticles, and alphaparticle-emitting radionuclides. Silica, arsenic, cadmium, and hexavalent chromium are found in CFA and all have been associated with increased lung cancer risk. Radical generation catalyzed by transition metals associated with the particulate matter in CFA can result in a cascade of cell signaling, transcription factor activation, and mediator release. Ferric iron in the aluminum-silicate glass phase of CFA is a source of bioavailable iron. There is emerging evidence that reactive iron Review Article Whiteside and Herndon; JAMMR, 25(4): 1-10, 2018; Article no.JAMMR. 39758 2 induces cancer stem cells and aggressive phenotypes in lung cancer. The potential pulmonary toxicity and carcinogenicity of aerosolized CFA is suggested by studies of asbestos, a fibrous silicate that also contains iron oxide. CFA contains an abundance of ultrafine particles and nanoparticles, including magnetite (Fe3O4). These tiny particles are toxic to lung cells, capable of producing oxidative stress, cytotoxicity, and genotoxicity. Radioactive elements are concentrated in CFA. CFA can settle deep in the lungs where its alpha-particle-emitting radionuclides pose significant risk factors for lung cancer. Conclusion: Considering the well-known and manifold toxicities of CFA, the public should be made aware of the potential risks for lung cancer and severe respiratory disease posed by aerosolized CFA including its use in climate alteration activities.
A Comparison of Revised Bloom and Marzano's New Taxonomy of Learning.

The seminal Taxonomy of Educational Objectives: The Classification of Educational Goals—Handbook I, Cognitive Domain (Bloom, Engelhart, Furst, Hill, & Krathwohl, 1956) represented years of collaboration by the Committee of College and University Examiners, and was the first of three volumes that together would become known as Bloom’s taxonomy of learning (so named after Benjamin Bloom, the original committee chair). The work instigated a paradigm shift in education, though subsequent volumes addressing affective (Krathwohl, Bloom, & Masia, 1964) and psychomotor (Harrow, 1972) domains of learning “had much less impact” (McLeod, 1992, p. 576) on curriculum and evaluation. McLeod (1992) postulates that the lessened impact was a consequence of the affective domain’s focus on internal constructs, which clashed with the behaviorist focus on observable behaviors. Since the publication of Bloom et al.’s taxonomy in 1956, there has been a proliferation of taxonomies of learning (e.g., Fink, 2013). Anderson and Krathwohl (2001) examined and incorporated features of 19 other taxonomies in their Revised Bloom’s Taxonomy (RBT), while more recently Clarkson, Bishop, and Seah (2010) developed a five-stage taxonomy of Mathematical Wellbeing (MWB) by considering the original Bloom’s taxonomy’s (OBT’s) cognitive and affective dimensions and adding an emotional taxonomy. This paper compares and contrasts the RBT with Marzano’s New Taxonomy (MNT; Marzano & Kendall, 2001, 2007) with regards to the two taxonomies’ treatment of domains of knowledge, cognition, affect and self, metacognition, and psychomotor procedures. It also discusses the uses of taxonomies and the application of the RBT and MNT to education.
Combined ZVS--ZCS topology for high-current direct current hybrid switches: design aspects and first measurements

Power electronic switches have been considered for load switching ever since their invention. This is because semiconductor switches enable fast, arc-less, reliable and maintenance- free switching. The main disadvantages in relation to conventional switches (i.e. circuit breakers), however, are their sensitivity to transients, high on-state losses and the presence of leakage current. The advantages of both types of switches can be exploited by combining the semiconductor and the mechanical switch and thereby their disadvantages, arc formation and regular maintenance, can also be eliminated. For hybrid switches (HSs), both zero voltage switching (ZVS) and zero current switching (ZCS) are frequently used. A new hybrid switching topology has been developed where both ZVS and ZCS techniques are applied to the mechanical switch. The 'symbiosis' between these solid-state switching techniques and a mechanical switch eliminates several of the disadvantages, resulting in a more reliable direct current (DC) HS that requires less mainten- ance. The first turn-off measurement (up to 5 kA) from a prototype that has been developed for a 3-kV DC grid is presented.
H-mode and Non-Solenoidal Startup in the Pegasus Ultralow-A Tokamak

Studies at near-unity aspect ratio offer unique insights into the high confinement (H-mode) regime and support development of novel startup scenarios. Ohmic H-mode operation has been attained at A < 1.3. Edge plasma parameters permit probe measurements of the edge pedestal, including the local current density profile, with high spatial and temporal resolution. H-mode plasmas have standard L-H transition phenomena: a drop in D_alpha radiation; the formation of pressure and current pedestals; field-aligned filament ejection during ELMs; and a doubling of energy confinement time from H_98 ~ 0.5 to ~1. The L-H power threshold P_LH increases monotonically with n_e, consistent with the ITPA08 empirical scaling used for ITER and the theoretical FM3 model. Unlike at high A, P_LH is comparable in limited and single-null diverted topologies at A ~ 1.2, consistent with FM3 predictions. The magnitude of P_LH exceeds ITPA scalings by an order of magnitude, with P_LH/P_ITPA08 increasing as A approaches 1. Multiple n modes are observed during two classes of ELMs, consistent with excitation of multiple peeling-ballooning modes. Small, Type III-like ELMs occur at P_OH ~ P_LH with n <= 4. Large, Type-I-like ELMs occur with P_OH > P_LH and intermediate 5 < n < 15. Helical edge current injection appears to suppress Type III ELM activity. J_edge(R,t) measurements across single ELMs show the nonlinear generation and expulsion of current-carrying filaments during the ELM crash. Local Helicity Injection (LHI) offers a nonsolenoidal tokamak startup technique. Helicity is injected via current sources at the plasma edge. A circuit model that treats the plasma as a resistive element with time-varying inductance reasonably predicts I_p(t). The electron confinement governs the power balance. Initial measurements show peaked T_e and pressure profiles, which are comparable to Ohmic-like transport or moderately stochastic confinement. Extrapolation suggests I_p ~ 1 MAmay be achievable in NSTX-U. Resistive MHD simulations suggest I_p is built from current rings injected during reconnection between unstable helical current streams. Several experimental observations support this model: imaging of the merging current streams; n=1 MHD activity and discrete current stream localized in the plasma edge; and anomalously high impurity ion heating in the edge region.
Antioxidant and sensorial properties of acacia honey supplemented with prunes

The changes in total phenol and flavonoid content, as well as antioxidant activity was monitored in acacia honey supplemented with prunes in 20, 30 and 40% mass concentrations. The total phenolic content increased by 2.5 times (from 16.18 to 41.64 mg GAE/100 g) with increasing concentration of prunes in honey, while the increase in flavonoid content was even higher, approximately 11.5-fold (from 2.65 to 30.86 mg RE/100 g). The addition of prunes also improved the antioxidant activity of acacia honey. The honey samples with highest content of prunes, 40%, exhibited the best antioxidant activity measured by hydroxyl radical sacvenging assay (EC50 •OH=4.56 mg/ml), 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging assay (EC50 DPPH=16.48 mg/ml), and reducing power (EC50 RP=81.17 mg/ml). Judging from the high correlation coefficients, ranging from 0.771 to 0.947 for total phenolics, and from 0.862 to 0.993 for total flavonoids, it is obvious that these compounds were associated with the antioxidant mechanisms. On the other hand, sensorial properties of supplemented honeys were lower than that of pure acacia honey, where flavor of supplemented honey was the least affected. Our results indicate that the supplementation of honey with prunes improves antioxidant activity of honey by enriching the phenolic composition, with slight modifications in sensorial characteristics.
Hepatic resection for hepatocellular carcinoma

Hepatic resection has become the standard treatment of primary liver cancer. Indications for hepatic resection in patients with hepatocellular carcinoma (HCC) vary greatly between Japan and other countries because the clinical practice guidelines for HCC defined by the Japan Society of Hepatology differ from the EASL-EORTC clinical practice guidelines. Hepatic resection is not recommended as a treatment for the patients at Barcelona Clinic Liver Cancer (BCLC) stage B. Otherwise, there are many surgeons/clinicians who believe that not all HCC patients at BCLC stage B should be excluded from an indication for hepatectomy because many reports showed good prognosis after hepatic resection for HCC patients over BCLC stage B. The survival rate is expected to increase with better outcomes of hepatectomy in the future. This paper has described indications for hepatectomy for patients with HCC through comparison of domestic guidelines with overseas guidelines, focusing on their differences.
Spatial and seasonal variation in leaf temperature within the canopy of a tropical forest

Understanding leaf temperature (Tleaf) variation in the canopy of tropical forests is critical for accurately calculating net primary productivity because plant respiration and net photosynthesis are highly sensitive to temperature. The objectives of this study were to (1) quantify the spatiotemporal variation of Tleaf in a semi-deciduous tropical forest in Panama and (2) create a season-specific empirical model to predict Tleaf in the canopy. To achieve this, we used a 42 m tall construction crane for canopy access and monitored the microenvironment within the canopy of mature, 20−35 m tall trees of 5 tropical tree species during the wet and the dry season. Tleaf was correlated to photosynthetic photon flux density (PPFD) in the wet season but not in the dry season, possibly due to seasonal differences in wind speed, physiology, and canopy phenology. A structural equation model showed that Tleaf is best explained by air temperature (Tair) and PPFD in the wet season, whereas in the dry season, Tair alone predicted most of the variation in Tleaf. These results suggest the utility of an empirical approach to estimate Tleaf variability where simple meteoro logical data are available. This approach can be incorporated in future models of vegetation−atmosphere carbon and water exchange models of mature tropical forests with similar seasonality.
An Empirical Study of Techniques and various Domains in Data mining for efficient approach in various fields

Data mining extracts the knowledge and information from a large volume of data which may be stored in multiple heterogeneous data base. Due to tremendous grow of data, need arises to give a viewfor a research field called Data Mining, which attract attention from researchers fromvarious fields which includes Database Designers, Statisticians, Pattern Recognizer, Machine Learning, and Data Visualization. Knowledge or information is conveying the message through direct or indirect. Efficient techniques can be developed and tailored for solving complex problems using data mining in various fields including agriculture, engineering, health care, Security, sports, knowledge support systems etc. Data mining may be defined as the process of exploration and analysis of large quantities of data in order to discover meaningful patterns and rules. Manually analyzing, classifying, and summarizing the data is impossible because of the incredible increase in data in this age of net work and information sharing. Data mining is also stated as essential process where intelligent methods are applied in order to extract the data patterns. This paper discus the fundamentals of data mining and current research of data mining for developing new techniques with efficient approach in knowledge discovery system.