Miracle-dz/UniFAR-FTUs huggingface dataset:
Faculty and Staff Information Security Awareness and Behaviors

The purpose of this study was to determine the information security awareness and behaviors that faculty and staff report. A sample of 321 participants consisting of 164 faculty and 157 staff members from a public, state university located in the Southeastern United States. The results indicate that overall, faculty and staff had high to moderate levels of information security awareness and behaviors. An independent samples t-test found that there was no significant difference in security awareness, but there were four behaviors differences between faculty and staff. Participants that reported higher levels of security policy awareness demonstrated significantly more secure behaviors in ten of the 18 items measured. Given these findings, comprehensive security awareness training will be essential for institutions of higher education as a means of minimizing threats to information technology resources.
River Meanders

s there sucli a thing a s a straig.l river? Alinost :inyone can tliiuk of a river that is inore or less straight for :I certain distaiice, brit it is iinlikely that the straight portion is either very straight or very long. In fact, it is almost certain that the distance any river is straight docs not cxccetl 10 times its width at that point. The sinuosity of river channels is clearly apparent in maps and aerial photographs, where the successive curves of a river of‘ten appear to havc a certain regularity. In niany instances the repeating pattern of curves is so pronounced that it is the most distinctive characteristic of the river. Such curves are called meanders, after a winding stream in Turkey knowii in ancient Greek times as the hiaiandros and today as the hlenderes. The nearly geometric regularity of river meanders lins attracted the interest of geologists for many years, and :it the U S . Gcological Survey wc havc devoted considerable study to the problem of understanding the general mechanism that underlies the phenomenon. In brief, we have found that meanders arc not mere accidents of nature but the form in which a river does thc lcast work in turning, and hence are the most probablc form a river can take.
Management of psychological distress in cancer patients / Ng Chong Guan

Psychological distress is highly prevalent in cancer patients, yet there is a lack of a brief and effective non-pharmacological intervention to address this distress. The current study involved a series of research projects. It started with a retrospective cohort study using a hospital pharmacy database to examine the psychotropic prescription rates among the cancer patients. A meta-analysis and a systematic review on the efficacy of different types of psychotherapy in cancer patient were also carried out. It was followed by a 1-year prospective study examining the association between perceived distress and factors such as anxiety, depression, perceived social support and quality of life among a cohort of breast cancer patients. Subsequently, a cross-sectional study was conducted to investigate the correlation between religiosity, religious coping with anxiety and depression in cancer patients. For the management of distress in cancer patient, a brief 5-minute mindful breathing therapy was developed. A randomized controlled trial (RCT) was conducted to examine the efficacy of this 5-minute mindful breathing. The results showed that psychotropic prescription was higher in cancer patient than in cardiology patients. The 1-year prospective study demonstrated that perceived distress was associated more with anxiety rather than depression. They were negatively correlated with perceived social support and quality of life. The evidence of meta-analysis indicated that the efficacy of psychotherapy in cancer patients was unsatisfactory where only adjunct psychological therapy (APT) showed short-term improvement in anxiety. The result of the RCT showed that 5-minute mindful breathing was a quick, easy to administer and effective therapy for rapid reduction of distress in palliative setting. The long term efficacy of the brief 5-minute mindful breathing in cancer patients needs to be established in the future studies.
Competency-Based Accounting Education, Training, and Certification: An Implementation Guide

The guide supports transitioning accounting education, training, and certification from a knowledge-based approach to a competency-based approach. Underlying this shift is the expanding expectation for accountants to professional judgment in response to greater transaction complexity, interconnectedness of entities, and broader global influences. The purpose of the guide is to: support understanding the gap between the current skills of many accountants in some regions and the skills that are relevant in increasingly digitized and globalized economies; convey the essential features of Competency-Based Accounting Education, Training andCertification (CBAETC); provide a common reference framework for organizations pursuing CBAETC and the consultants working with them; assist countries in developing in-country plans and implementing in-country processes that produce accountants with higher-order skills relevant to their economy’s rapidly evolving needs; and, ultimately, and improve financial reporting, auditing, and regulation.
USE OF REMOTELY SENSED SNOW COVERED AREA IN WATERSHED MODEL CALIBRATION FOR THE SPRAGUE RIVER, OREGON

This study presents a multiple-objective, step-wise, automated procedur e for hydrologic model calibration in the Sprague River basin, a mountainous wat ershed in the Upper Klamath Basin. The procedure includes the sequential calibration of si mulated: (1) solar radiation, (2) potential evapotranspiration, (3) annual water balance; (4) snow-covered area; and (5) components of daily runoff. Remotely sensed snow-covered area data f or model calibration was processed for the Sprague River. These data extend from Februar y 24, 2000 to present. The surface hydrology of the Sprague River basin is dominated by snowmelt runoff, making snowcovered area prediction crucial for accurate streamflow forecas ts. The multi-step calibration procedure ensures that in ermediate model states and fluxes, as well as the annual wat er balance, components of the daily hydrograph, and snow-covered area are being simulat ed consistent with measured values. In comparison to models calibrated using streamflow data alone, this sequential calibration procedure produces model parameter sets that a re more reliable for hydrologic data assimilation.
The Psychology of Cryptocurrency Prices

Abstract This letter analyzes the dynamic of cryptocurrency prices through the lens of behavioral economics. Cryptocurrency market participants seem to behave irrationally. We provide evidence of the presence of significant small price bias for the cryptocurrency market, consistent with the hypothesis that investors react to the news differently according to the price-level. We find that low-priced cryptocurrencies are much more volatile than their high-priced counterparts.
Changes in Auditory Steady - State Response and Tympanometry Post Adenotonsillectomy in Otitis Media with Effusion

Citation: Aman, Singh J, Goel A, Sharma C, Gupta V, et al. (2019) Changes in Auditory Steady State Response and Tympanometry Post Adenotonsillectomy in Otitis Media with Effusion. J Otolaryngol Rhinol 5:059. doi.org/10.23937/2572-4193.1510059 Accepted: April 25, 2019: Published: April 27, 2019 Copyright: © 2019 Aman, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Journal of Otolaryngology and Rhinology
EXTRACTIVE AND ABSTRACTIVE CAPTION GENERATION MODEL FOR NEWS IMAGES

-This paper provides a model for automatically generating captions for news images, which is used to support development of news media management and many multimedia applications. In the existing method, the captions for the news images are given manually by reading the text content. Thus the caption generation task requires human involvement and hence a time consuming process. The proposed system uses a two-stage framework for automatically generating captions for news images: Content Selection and Surface realization. Content Selection identifies what the image and accompanying article are about, whereas surface realization determines how to verbalize the chosen content. The images are analyzed using the image annotation technique. It uses a multimodal vocabulary consisting of textual words and visual terms. The textual words obtained from annotation are clustered with the words in the news document. Here the extractive and abstractive models for generating short, meaningful and precise captions for the news image are used. The advantages of this model are: (1) It does not require manual annotation of images (2) It reduces the need for human supervision. Index Terms --Caption generation, Image annotation, Stemming, Summarization. ________________________________________________________________________________________________________________
Assessment and Support for Basic Computer Skills at Community College Hispanic Serving Institutions in California

This cross-sectional survey study was conducted to determine if California community colleges designated as Hispanic Serving Institutions (HSIs) assess incoming students for basic computer skills, provide learning support for these skills, as well as assess the attitude of administrators towards basic computer skills of incoming students. Prior published research documented the false assumption in higher education incoming students are “digital natives”, capable of effectively using technology expected on college campuses; however, there was no research focused on community colleges designated as HSIs. The study adds to the body of literature about the assessment of and support for basic computer skills on college campuses. For purposes of the study, “basic computer skills” were defined in five categories:  The ability to use word processing software (most commonly Microsoft Word);  The ability to use spreadsheet software to prepare charts and graphs (most commonly Microsoft Excel);  The ability to use software for classroom presentations and speeches (most commonly Microsoft PowerPoint);  The ability to navigate the Internet for research; and  The capability of learning and participating in online classrooms using various platforms or software. The participants in this study were administrators in key academic positions representing all 55 community colleges HSIs in the state. All participants in the study held an administrator position at the time of the study. Each participant was asked a series of nine survey research questions, distributed via e-mail. All participants were asked the same questions and responses were electronically recorded and analyzed. The survey determined the following: 1. Community college HSIs in California do not assess incoming students for basic computer skills. 2. Community college HSIs in California have varying academic support for basic computer skills. 3. Basic computer skills courses are not prerequisites for non-computer skill courses or programs. 4. Most California community college HSI administrators believe computer skills are basic college level skills. 5. However, most California community college HSI administrators are not concerned about the level of basic computer skills of the student body. The responses from participants in the study emphasize the need for institutional change. © 2019 by Jason Wayne Hough All Rights Reserved
The Prebiotic Stage and the Evolution of Life on Earth

The paper is a synthesis of the information collected so far on the origin and evolution of life on Earth. The life appearance and its evolution is correlated to matter evolution in univers: Big Bang, inorganic, organic, prebiotic, unicellular and multicellular stages. Concerning prebiotic stage in life evolution we present our theory based on syntone chemistry. Three syntones-methylene, nitrene and carbon monoxid carried by molecular nitrogen at law temperature could furnish the prebiotic bricks (sugars, lipids, proteins) at the contact to primary atmosphere components. Also, we think that these syntones could be considered as sources of great number of organic molecules. All organisms on Earth descend from a last universal common ancestor (LUCA). Two branches were derived from LUCA: one led to bacteria and the other to archaea and eukaryotes. The appearance of photosynthesis determined a transition from the oxygen-free atmosphere to the oxic atmosphere. Due to a series of endosymbioses, Eukaryotes emerged as organisms with nucleated cells and aerobic metabolism (which significantly increased the efficiency of cellular energy production). At about the same time appeared the first multicellular organisms. The paper also presents other important moments in the evolution of life on Earth, including the major biological crises in certain periods, resulting in the mass extinction of some groups of organisms. The evolution of the living world on Earth culminated with the emergence of man, the most complex being with language, superior thinking, emotions, creativity, etc.
Taste profile and consumer preference of “dawadawa” produced from the seeds of Parkia biglobosa, Glycine max and Hibiscus sabdariffa

Proteolytic process is a key step that influence taste profile of African condiments. This process involves the degradation of protein to yield free amino acids. Very few studies have made effort to determined how the amino acid taste profile influence the consumer preference of the condiments. The aims of this research is to analyse taste profile and consumer preference of “dawadawa‟‟ produced by the fermentation of seeds of P. biglobosa, G. max and H. sabdariffa to determine whether key taste characteristics influence consumer preference of the condiments. The analysis of amino acid of “dawadawa” produced from the seeds of locust beans ( Parkia biglobosa ), soya beans ( Glycine max ) and roselle ( Hibiscus sabdariffa ) was conducted to understand how the fermenting organisms ferment these unusual legumes seeds during condiment production and the role the organisms play in improving the free amino acids, flavour and consumer preferences for the condiments. The amino acid content was analysed using amino acid analyser and the sensorial analysis was performed using the Hedonic scale. Bitter taste profile was high in the condiment produced from P. biglobosa and G. max , followed by monosodium glutamate-like (MSG-like) and sweet taste in the respective condiments. The latter two seem to play greater role on the final taste profile of the condiment while higher concentration of MSG-like taste was observed in the locally produced condiments from the three seeds compared with the laboratory produced condiments. The laboratory prepared “dawadawa” from P. biglobosa and H. sabdariffa seeds was the most preferred than that prepared from the seeds of G. max . “Dawadawa” if properly developed have a strong potential of improving the nutritional status of the rural population and provide income to rural masses. Keywords : Dawadawa, taste, sweet amino acids, fermented condiments, G. Max.
Maternal Socialization Responses to Preschoolers’ Success and Struggle: Links to Contextual Factors and Academic and Cognitive Outcomes

ABSTRACT The present study examined mothers’ responses to their at-risk preschool-age children’s (N = 156) successful and unsuccessful attempts during a puzzle task. Associations between mothers’ responses and the children’s ecological context, as well as children’s cognitive and academic abilities at two subsequent time points (ages 6–11, and 9–13 years), were examined. Maternal responses to children’s successful attempts included process praise, person praise, and neutral acknowledgments. Responses to unsuccessful attempts included encouragement or help, discouragement, neutral indications of mistake, or taking over. Results revealed that maternal responses were associated with child characteristics. In addition, encouragement was positively associated with the quality of the home environment, whereas taking over was positively associated with maternal childhood histories of aggression and social withdrawal. Furthermore, decreased taking over, as well as increased encouragement and neutral acknowledgments, were associated with higher child cognitive and academic abilities later on. Implications for early childhood education are discussed.
Classification of EEG signals of user states in gaming using Classification of EEG signals of user states in gaming using machine learning machine learning

In this research, brain activity of user states was analyzed using machine learning algorithms. When a user interacts with a computer-based system including playing computer games like Tetris, he or she may experience user states such as boredom, flow, and anxiety. The purpose of this research is to apply machine learning models to Electroencephalogram (EEG) signals of three user states – boredom, flow and anxiety – to identify and classify the EEG correlates for these user states. We focus on three research questions: (i) How well do machine learning models like support vector machine, random forests, multinomial logistic regression, and k-nearest neighbor classify the three user states – Boredom, Flow, and Anxiety? (ii) Can we distinguish the flow state from other user states using machine learning models? (iii) What are the essential components of EEG signals for classifying the three user states? To extract the critical components of EEG signals, a feature selection method known as minimum redundancy and maximum relevance method was implemented. An average accuracy of 85 % is achieved for classifying the three user states by using the support vector machine classifier.
“The ‘Projects’ Are Nice Now”: Resident Perspectives on the Rental Assistance Demonstration (RAD) Program

ABSTRACT The Rental Assistance Demonstration (RAD) program, administered by the U.S. Department of Housing and Urban Development (HUD), seeks to improve and preserve affordable housing by converting traditional public housing (Section 9) to Section 8 rental assistance. This study examined a RAD conversion in California’s Central Valley, one of the first in the nation, to understand residents’ experiences and their perspective on the program. We conducted 30 in-depth interviews with residents across three RAD sites: a small city and two rural areas. Residents identified four main outcomes of the RAD conversion: (a) upgraded heating/cooling systems and appliances; (b) improved unit layout, aesthetics, and conditions; (c) perceived safety and connectedness; and (d) enhanced resident resources and pride of place. Areas for improvement included increased resident education throughout the RAD process, as well as improving social support and community-building efforts among residents. Our article demonstrates notable (and mostly positive) results associated with RAD conversions according to residents. This is especially relevant as housing authorities across the United States proceed to implement RAD, particularly in large urban areas. Future research should continue to evaluate the impact of the RAD program, with particular emphasis on resident outcomes.
Extracting Resource Needs and Availabilities From Microblogs for Aiding Post-Disaster Relief Operations

Microblogging sites like Twitter are the important sources of real-time information during disaster/emergency events. During such events, the critical situational information posted is immersed in a lot of conversational content; hence, reliable methodologies are needed for extracting the meaningful information. In this paper, we focus on a particular application that is critical for efficient management of post-disaster relief operations—identifying tweets that inform about resource needs and resource availabilities. Two broad types of methodologies can be practically applied to identify such tweets during an ongoing disaster event: 1) supervised classification approaches, where the classifier models are trained on microblogs posted during prior events and applied on those posted during the ongoing event and 2) unsupervised pattern matching and information retrieval approaches that can be directly applied on the microblogs posted during the ongoing event. In this paper, we experiment with several supervised and unsupervised approaches to address the problem, including several neural network-based classification and retrieval models. We also propose two novel neural retrieval models (unsupervised) for the said application, which effectively combine word-level embeddings and character-level embeddings. We conduct experiments on tweets posted during two disaster events and observe that the two approaches perform well in different scenarios. Specifically, if good quality training data are available from prior events, then classification approaches perform better; however, if such training data are not available, then unsupervised retrieval methods outperform supervised classification approaches.
Numerical simulation of hydrate particle size distribution and hydrate particle bedding in pipeline flowing systems

Abstract In offshore operations, hydrate hazards are now posing a great threat to deep water flow assurance. Pipeline hydrate particle size distribution is closely related to the viscosity of hydrate slurry, flow pressure drop and interface heat and mass transfer. Hydrate particle bedding could lead to pipeline hydrate plugging. Therefore, hydrate particle size distribution and hydrate particle bedding have a significant impact on pipeline hydrate flow assurance. In order to simulate hydrate particle size distribution and hydrate particle bedding in pipeline flowing systems, a new hydrate agglomeration model was used and then solved by the software FLUENT 14.5 together with some CFD models. In the simulations, the type and characteristics of hydrate particle size distribution and the characteristics of pipeline hydrate particle bedding were focused on. In addition, the influences of hydrate particle size initial distribution type, hydrate volume fraction, flow rate and initial hydrate particle diameter were investigated. The conclusions in this work can provide guidance for the development of deep water flow assurance. Graphical Abstract
Development and evaluation of a self-emulsifying drug delivery system for artemether and lumefantrine

Neglected tropical diseases (NTDs) have been around for centuries and are predominantly found in poverty-stricken areas. Due to lack of funding, the research on developing new formulations able to restrict NTDs has to some extent stagnated. Rather, a new approach needs to be implemented in order to combat this immense burden that has been placed on the world’s healthcare system. Some approaches are to modify the drugs that are already being used to treat NTDs or their dosage forms. Drugs generally used in NTD treatment display poor aqueous solubility, where most of the drugs fall within class II and IV when classified according to the biopharmaceutical classification system (BCS). Lipid-based formulations have recently moved to the forefront of the research field and have proven to display promising developments in the bioavailability of lipophilic drugs. This review aims to highlight the possible mechanisms of lipid dosage forms that may improve the solubility of the lipophilic drugs, which in turn will probably increase the absorption of these said drugs. Lipid based drug formulations have already displayed immense potential when other highly lipophilic drugs have been incorporated into these formulations, rendering this type of dosage form a viable option in aiding in the elimination of NTDs.