Miracle-dz/UniFAR-FTUs huggingface dataset:
SECURITY KNOWLEDGE REQUIRED TO IMPROVE EMPLOYEE SECURITY BEHAVIOR IN INFORMATION SECURITY CULTURE

: There are many security risks to the organizations’ information assets; nonetheless, among the major threats to achieve a secure information environment are the actions and behavior of the employees when handling information. Insiders, intentionally or unintentionally, can cause serious risks, despite investments usually made on security control measures and other security related products. Insecure human behavior with respect to information security cannot entirely be solved by technical and procedural controls alone. Recently, the development of effective information security culture in organizations is increasingly considered as a way to embed appropriate security practices, and to address the human factor in information security. Past research works on this area indicate that there is a positive relationship between levels of knowledge and how employees behave. The level of knowledge significantly affects information security behavior and should be considered as a critical factor in the effectiveness of information security culture and in any further work that is carried out on information security culture. Therefore, in this paper we have identified the security knowledge required to improve employee behavior in information security culture namely; knowledge of security threat, knowledge of organization information security strategy, knowledge of security technology, knowledge of legislation, regulation and national culture, knowledge of security responsibility and knowledge of security risk. These security knowledge needs to be included as topics in security training and awareness programs conducted by organizations for their employees so that an effective information security culture within the organization can be achieved.
A Thesis for the Degree of Master of Science

Anti-inflammatory Effects of Orobol, an Enzyme Converted Product of Genistein, on the IL-8 Production in HT-29 Colon Cells and the Dextran Sodium Sulfate (DSS)-Induced Acute Colitis Symptoms in C57BL/6 mice. ABSTRACT conditions of the gastrointestinal tract in humans. IBD has been suggested that that inflammatory responses play major roles in the pathogenesis though the etiology of IBD still remains unclear. Soy isoflavones are attractive source of food materials with anti-inflammation and gut-healty effects. After fermentation or bioconversion, the majority of soy isoflavones are transformed to their metabolites such as genistein, daidzein and so on. Recently, metabolites have been studied in their improved bioactivity. Orobol (7,8,3 ’ ,4 ’ -tetrahydrowyisoflavone) is a metabolite of genistein. It has been known to anti-cancer effect for human ovarian and breast cancer. Although genistein exerts beneficial anti-inflammatory effects on colitis, orobol has not been studied about colitis yet. Interleukin-8 (IL-8), which is a major chemokine, plays a critical role in the inflammation including colitis. IL-8, derived epithelial cell, has been demonstrated to support neutrophil infiltration in various types of mucosal inflammation including IBD. be a beneficial agent for reducing inflammation related to IBD.
Solution of the Dike-break Problem Using Finite Volume Method and Splitting Technique

Abstract: In this paper, an approach using the finite volume method (FVM) for the solution of two-dimensional shallow water equations is described. Such equations are frequently used to simulate dam-break and dike-break induced flows. The applied numerical algorithm of the FVM is based on a wave-propagation algorithm, which ensures a stable solution and, simultaneously, minimizes numerical errors. Dimensional decomposition according to the coordinate directions was used to split two-dimensional shallow water equations into one-dimensional equations. Additionally, splitting was also applied with respect to the physical processes. The applied dimensional and physical splitting, together with the wave-propagation algorithm led to an effective algorithm and ensured proper incorporation of source terms into the scheme of the finite volume method. A detailed description of an approximation for numerical fluxes and source terms is presented. The obtained numerical results are compared with analytical solutions, laboratory experiments and other results available in the literature.
The Power-Speed Relationship is U-Shaped in Two Free-Flying Hawkmoths (M. sexta)

A (cid:29)ying animal can minimise its energy consumption by choosing an optimal (cid:29)ight speed depending on the task at hand. Choice of (cid:29)ight speed can be predicted by modelling the aerodynamic power required for (cid:29)ight, and this tool has previously been used extensively in bird migration research. For insects, however, it is uncertain whether any of the commonly used power models are useful, as insects often operate in a very di(cid:27)erent (cid:29)ow regime from vertebrates. To investigate this, we measured aerodynamic power in the wake of two Manduca sexta (cid:29)ying freely in a wind tunnel at 1(cid:21)3.8 ms -1 , using tomographic particle image velocimetry (tomo-PIV). The expended power was similar in magnitude to that predicted by two classic models. However, the most ubiquitously used model, originally intended for vertebrates, failed to predict the sharp increase in power at higher speeds, leading to an overestimate of predicted (cid:29)ight speed during longer (cid:29)ights. In addition to measuring aerodynamic power, the tomo-PIV system yielded a highly detailed visualisation of the wake, which proved to be signi(cid:28)cantly more intricate than could be inferred from previous smoke trail- and 2D-PIV studies.
A Discrete Constraint for Entropy Conservation and Sound Waves in Cloud-Resolving Modeling

Ideal cloud-resolving models contain little-accumulative errors. When their domain is so large that synoptic large-scale circulations are accommodated, they can be used for the simulation of the interaction between convective clouds and the large-scale circulations. This paper sets up a framework for the models, using moist entropy as a prognostic variable and employing conservative numerical schemes. The models possess no accumulative errors of thermodynamic variables when they comply with a discrete constraint on entropy conservation and sound waves. Alternatively speaking, the discrete constraint is related to the correct representation of the large-scale convergence and advection of moist entropy. Since air density is involved in entropy conservation and sound waves, the challenge is how to compute sound waves efficiently under the constraint. To address the challenge, a compensation method is introduced on the basis of a reference isothermal atmosphere whose governing equations are solved analytically. Stability analysis and numerical experiments show that the method allows the models to integrate efficiently with a large time step.
Journal Pre-proof Autophagosome-lysosome fusion

Macroautophagy is a conserved catabolic process observed in all eukaryotic cells, during which selected cellular components are transported to and broken down within lysosomes. The process starts with the capture of unnecessary material into autophagosomes, which is followed by autophagosome-lysosome fusion to generate autolysosomes that degrade the cargo. In the past quarter-century, our knowledge about autophagosome formation almost exponentially increased, while the later steps were much less studied. This fortunately changed in the past few years, with more and more publications focusing on the fate of the completed autophagosome. In this review we aspire to summarize the current knowledge about the molecular mechanisms of autophagosome-lysosome fusion.
IMPACT OF GESTATIONAL WEIGHT GAIN ON MODE OF DELIVERY AT TERM PREGNANCIES IN PRIMIGRAVIDA

: BACKGROUND: The incidence of maternal weight gain during gestation just keeps growing. Believed to be helpful, despite ample research advising against it owing to the instances of gestational diabetes and other complications, this issues needs to be explored further in terms of increased risk of cesarean delivery among overweight or obese compared with normal weight women. OBJECTIVE: To evaluate the effect of gestational weight gain and increased body mass index (BMI) on cesarean risk during labor. METHODOLOGY: This prospective cohort was conducted upon a sample of 100 women with singletons ≥37 weeks and no prior cesarean deliveries, and known BMI (pre-conception) and at labor, scheduled to undergo delivery at Indus Medical College, Hospital from January 2018 to December 2018. The data obtained was recorded onto a structured questionnaire and analyzed using SPSS v.21 & Microsoft Excel 2016. RESULTS: The mean age of the mothers stood at 32 (SD ± 3.7). Among the total sample, 54.0% had cesareans. Cesareans increased with increasing BMI for nulliparas and multiparas. The risk for cesarean increased as BMI increased for all subgroups, P . 001. The risk for cesarean increased for nulliparas and multiparas, respectively, for each 1 kg/m 2 increase in BMI. There was no significant difference however in risk between women who became overweight or obese as a result of gestational weight gain and those who were overweight and/or obese prior to pregnancy. CONCLUSION: After careful consideration, it can be concluded that Admission BMI is significantly associated with delivery route in term laboring women. RECOMEMNDATION: Maintaining a healthy B.M. I and avoiding gestational weight gain is highly recommended. Cesareans increased with increasing BMI for all subgroups, nulliparas (p = 0.01) and multiparas (p = 0.04). A closer look revealed that the risk for cesarean increased for nulliparas and multiparas, respectively, for each 1 kg/m 2 increase in BMI.
BRAIN TUMOR DETECTION IN MRI USING MORPHOLOGICAL OPERATIONS BASED IMAGE SEGMENTATION

Brain is the most important part in the human body. It is also the most significant element of CNS (Central Nervous System). The brain tumor is the abnormal growth which is caused by cells that grows in uncontrolled manner inside the skull. There are many factors that determine how the brain tumor effects the normal functioning of human body. Among these factors, the location of tumor is one of the most important factors. Thus, the detection of tumor is main objective of the system. It plays a vital role in biomedical system. For the detection of tumor, image processing particularly image segmentation is used. CT (Computed Tomography) scan and MRI (Magnetic Resonance Imaging) are two methods used for imaging of brain tumor. In this paper, MRI brain image is used for the process of tumor detection. This system involves test the brain image process, image filtering, skull stripping, segmentation, morphological operations, and calculation of tumor area and detection of tumor location. The detailed procedures are implemented using MATLAB. MRI gives exact location of tumor and it proves very helpful for doctors for further diagnosis and surgery.
R E S E A R C H A R T I C L E EVIDENCE FOR GENOTYPING SIMILARITY BETWEEN HELICOBACTER PYLORI STRAINS ISOLATED FROM DENTAL PLAQUE AND PEPTIC ULCER

: In this study, genotypes of Helicobacter pylori (H. pylori ) strains isolated from dental plaque specimens and peptic ulcer biopsies of the same patient were compared. Gastric biopsies of 30 patients out of 64 cases suffering from gastric ulcer (46.88%) were H. pylori positive. H . pylori was isolated from 4 dental plaque specimens (6.65%) of the number of patients examined. Amplification of UreC gene confirmed that the 34 isolates were H. pylori . All isolates of H. pylori were phenotypically identical. Partial sequence of 16S rRNA gene for H. pylori isolates from dental plaque (HK1D and HK2D) and peptic ulcer biopsies (HK1B and HK2B) of two patients were identical with 99% to H. pylori B38 reference isolate. A single nucleotide substitution (T instead of C) was detected. Whereas, nucleotide sequence analysis of H. pylori isolates from a third patient (HK3B, HK3D) was 100% identical to H. pylori G27 reference strain.
Concept Development of a Cryogenic Tank Insulation for Reusable Launch Vehicle

The development of insulation is of crucial importance for spacecraft with cryogenic tank systems. During the fueling procedure with cryogenic liquids the outer tank shell is cooled down with the rise of icing. In case of the hydrogen tanks the condensation of liquid oxygen is likely to occur, which is a great hazard to the spacecraft. The presented work is part of the AKIRA project performed by the German Aerospace Center (DLR). Reference configuration for the insulation concept uses a reusable booster stage with a liquid hydrogen/oxygen engine. This study aims to contribute in the development of a reusable insulation system for both, the liquid hydrogen and liquid oxygen tank. For the design of the insulation system, different common insulations types are investigated about their applicability for a RLV. Due to the booster flight trajectory, surface temperatures higher than 1000 K are expected to occur while spacecraft re-entry, which requires a proper Thermal Protection System (TPS). To achieve these temperature requirements, the thickness of the insulation increases and leads into a higher structural mass. To tackle this problem, a ‘Purge Gap’ between the cryogenic insulation and the TPS is investigated. Purging a gap between the insulation and the TPS with a dry gas provides a small excess pressure that prevents humid air from entering into the system. Thus the total thickness of the insulation system and consequently the structural mass can be reduced. In order to support the design process, 1D-tools were developed for the calculation of transient heat conduction and the temperature profile evolution in the insulation system during the whole flight trajectory. Experimental investigations have been carried out to observe the long-term stability for different types of insulation materials. An experimental setup was developed and serval insulation samples were tested A cold head system is used which is able to cool down the samples to a temperature of about 20 K. Commercial ‘of the shelf’
Examining Metabolism in Seagrass Meadows: Trends in Respiration and Non- Dissolved Gas Ebullition

3 Acknowledgements . 5 Introduction . 6 Seagrass Ecosystems . 6 Seagrass at the Virginia Coast Reserve on the Delmarva Peninsula . 7 Oxygen Metabolism by Seagrass Ecosystems . 8 The Aquatic Eddy Covariance (AEC) Technique . 10 Thesis Outline . 12 Literature Cited . 13 Chapter 1: Variation in seagrass meadow respiration measured by aquatic eddy covariance . 19 Abstract . 19 Introduction . 19 Methods . 21 Results . 24 Discussion . 26 Literature Cited . 29 Chapter 2: Non-dissolved Gas Fluxes in a Seagrass Meadow Measured using a Novel, Automated Bubble Trap.34 Abstract . 34 Introduction . 34 Methods . 36 Results . 44 Discussion . 54 Supplementary Materials . 60 Literature Cited . 63 Conclusions . 67 Literature Cited . 68 Appendix: VCR LTER Wind Study.69
Types of Stereotype Threats that Latinx Students Experience in Undergraduate Engineering Education (Research)

Latinx students in engineering often experience stereotypes in their programs that can lead to stereotype threats, or the fear of inadvertently confirming a negative stereotype about oneself or one’s group. Stereotype threats can not only affect a person’s self-esteem, but it can influence their academic performance and persistence. They can also lead to, among many things, a heightened awareness of one’s own actions, which in turn takes away from the mental space required for academic studies. While previous studies often cover the broader impacts of stereotype threat on the educational experience of minorities, there is a gap in the research regarding the specific types of stereotype threats; specifically, those experienced by Latinx undergraduate students in engineering. This research provides an analysis of various stereotypes and stereotype threats that Latinx undergraduate engineering students face using data collected from 28 interviews. Data was collected across three universities, one Hispanic Serving Institution and two Predominately White Institutions. Data analysis on these interviews resulted in the identification of nine major stereotype themes and nine major stereotype threat themes. The coding frequency indicated that the assumption of academic abilities and assumption of behaviors were the most commonly experienced stereotype themes. The results of this study contribute to the body of knowledge on stereotype threats by identifying and categorizing the various stereotype threats that Latinx undergraduate engineering students face. These results also help to diversify pathways in engineering by better informing educators through increasing the visibility of the negative subtle behaviors that Latinx students experience. This study aimed to identify these stereotypes and stereotype threats and sort them into themes. The results showed a variety of different themes that affected everyone differently and differences were noted between genders, institutions, and year in school. Many noted that these stereotypes made them doubt their academic abilities and reduce their confidence in their ability to get the engineering degree they sought after. As long this continues, growth in the diversity of engineering programs may be impeded, which it turn effects the diversity of the workforce as a whole. In order to promote a more diverse field, issues surrounding these stereotypes and stereotype threats must be addressed and reduced. Follow-up research to this study needs to examine the effects of theses stereotypes on student persistence and explore coping mechanisms and strategies that help to reduce these experiences. Stereotypes foster a negative learning environment and engineering field; the goal is to eliminate these experiences among Latinx students in engineering.
R OBUST D EEP N EURAL N ETWORKS FOR H ETEROGENEOUS T ABULAR D ATA

Although deep neural networks (DNNs) constitute the state-of-the-art in many tasks based on image, audio, or text data, their performance on heterogeneous, tabular data is typically inferior to that of decision tree ensembles. To bridge the gap between the difficulty of DNNs to handle tabular data and leverage the flexibility of deep learning under input heterogeneity, we propose DeepTLF, a framework for deep tabular learning. The core idea of our method is to transform the heterogeneous input data into homogeneous data to boost the performance of DNNs considerably. For the transformation step, we develop a novel knowledge distillations approach, TreeDrivenEncoder, which exploits the structure of decision trees trained on the available heterogeneous data to map the original input vectors onto homogeneous vectors that a DNN can use to improve the predictive performance. Through extensive and challenging experiments on various real-world datasets, we demonstrate that the DeepTLF pipeline leads to higher predictive performance. On average, our framework shows 19.6% performance improvement in comparison to DNNs. The DeepTLF code is publicly available.
Importance Of Biomarker Research In Periodontics

A variety of dental and periodontal indices and parameters are used along with radiographs for the purpose of diagnosis and assessment of alveolar bone levels in periodontitis patients. The future research is currently working towards development of objective measures such as biomarkers which can identify and quantify periodontal disease risk and its progression. Biomarkers are used to objectively evaluate normal biologic processes, pathogenic processes and pharmacologic response to therapy protocols. Biomarkers are tell-tale molecules that could be used to monitor health status, disease onset, treatment response and outcome. Biomarkers serve as early surveillance of periodontal disease.
A Probabilistic Data Encryption scheme (PDES)

In this paper the author presents a probabilistic encryption scheme that is polynomially secure and has the efficiency of deterministic schemes. From the theoretical construction of Brands and Gill (1996), it is clear that the proof of Pseudo randomness of the quadratic residue generator is complete if it can be shown that there exists a one-way function under the possible assumption that it is infeasible to solve the quadratic residuacity problem provided the factorization of the composite integer is unknown. Key words: Quadratic residuacity, pseudorandom number generator, one-way function
RNA-directed RNA Polymerase from Tomato Leaves

An RNA-directed RNA polymerase (RdRP, EC 2.7.7.48) from tomato leaf tissue was purified to elec- trophoretic homogeneity. A terminal transferase activity that was found to cofractionate with RdRP from DEAE-Sepharose and DNA-cellulose columns was re- moved by chromatography on a Mono Q column. The highly purified RdRP exhibits a specific activity of SO0 nmol X mg” X 30 min”, which corresponds to a 100,000-fold enrichment of the enzyme. In buffer con- taining SO% glycerol, its activity decreased by about lS%/month. RdRP activity coincided with the silver staining intensity of a single 128-kDa polypeptide when the fractions eluted from the Mono Q column were analyzed by electrophoresis in a SDS-polyacryl-amide gel. Its molecular mass and its sedimentation coefficient of 6.6 S indicate that RdRP is a nearly globular molecule. The catalytic activity of RdRP is resistant to a-amanitin and actinomycin D. In tomato leaves systemically infected with potato spindle tuber viroid, the activity of RdRP was found to be increased about %fold compared with RdRP isolated from healthy leaf tissue.
Pollution-Reducing Highway Barriers THE ROAD TO VALIDATION

TR NEWS N o v e m b e r – D e c e m b e r 2 0 2 0 › A new type of highway barrier is addressing one of the biggest sources of urban air pollution: traffic emissions. By incorporating “pollution-eating” photocatalytic coatings, these barriers break down the harmful compounds created by burning gasoline and diesel, as well as mitigate traffic noise. And because these photocatalysts are activated by sunlight, the barrier’s extra pollution-eating benefit costs nothing to operate. However, as several trials have revealed, simply painting a conventional barrier with a photocatalyst doesn’t work. This article examines the crucial role of aerodynamics, the shortcomings of using titanium dioxide (TiO2, currently the most common photocatalytic coating), and what it takes to bring emerging alternatives to market.
Validation of a 6-Minute Step Test for Predicting Maximal Oxygen Consumption in Healthy Individuals Aged 20-40 Years

, This study aimed to evaluate workers’ health and assess their work capacity to improve their health. In this cross-sectional descriptive-analytical study, the validity of a 6-minute step test was assessed to estimate the maximal oxygen consumption in healthy individuals aged 20 to 40 years. The study population was healthy individuals between 20 and 40 years old referred to the occupational medicine clinic of Shahid Mohammadi Hospital in Bandar Abbas (Iran) in 2020. Based on previous studies and the sample size determination formula, 90 people were selected by the accessible sampling method. A 3-minute step test and a 6-minute walk test were performed on these individuals. Age, weight, heart rate, and distance covered in 6 minutes were used to estimate the maximal oxygen consumption in both 3-minute step test and 6-minute walking tests. According to 3-minute step test results, age and heart rate variables explain 78% of the variance of maximum oxygen consumption. Also, based on the six-minute walk test, 70.6% of the variance of maximum oxygen consumption was explained by age and heart rate variables. Overall, the findings indicated that the 6-minute walk test, similar to the 3-minute step test, has an acceptable validity for predicting maximum oxygen consumption. Accordingly, there is no difference between the two methods, and the six-minute walk method can be a good alternative to the 3-minute step test method.