Miracle-dz/UniFAR-FTUs huggingface dataset:
Study the Relation Between Acetylcholinesterase and Obesity in University Students

Obesity is described as an asymmetrical body weight for height with an extreme growth of adipose tissue that is usually with the highest risk of disordered lipid profile. Obesity is caused by a sequence of excessive food intake, absence of physical motion, and hereditary predisposition. A few instances are caused primarily by genes, endocrine dysfunctions, medicines, or mental confusion. BMI gives a simple numeric test of obesity. BMIs below 20.0kg/m2 and above 25.0kg/m2 has been connected with significant various health problems and most of mortality incidence causes. The recent investigations indicate a relationship between obesity, acetylcholinesterase (AChE) activities, and short-term weight loss in obese. A total of 39 female students, 18-35 years old, involved in this investigation to evaluate the relationship between body mass index (BMI), blood lipid, and AChE in female’s university students. The present study reveals a strong correlation between BMI and lipid profile. As well, there is a weak negative relation between AChE and BMI in current work. But, All results of AChE in the present results within the reference range. Further long-term studies with a higher number and different types of sexes will be needed to validate and complete evaluate the specific relation between obesity and AChE.
Using Fractals to Improve Currency Risk Management Strategies

Most businesses in Australasia face great difficulty in planning for future requirements due to often-volatile fluctuations in currency and commodity markets. New analytical techniques based on “fractal analysis” suggest that market data exhibits temporal correlations (i.e. volatile fluctuations tend to occur around the same time, punctuating periods of relative stability), and fat-tailed probability distributions (i.e. more extreme events than might be expected from a normal “bell curve” distribution). By contrast, traditional techniques based on linear models fail to cope correctly with volatility, and may fail badly during these periods. This leads to the possibility that some companies have been making policy and optimisation decisions based on methods that may be detrimental. In this paper it is discussed how fractal methods can correctly characterise the currency market, and how this might affect trading strategies.
Fractional relaxation noises , motions and the fractional 1 energy balance equation 2 3

9 We consider the statistical properties of solutions of the stochastic fractional 10 relaxation equation and its fractionally integrated extensions that are models for the Earth’s 11 energy balance. In these equations, the highest order derivative term is fractional and it 12 models the energy storage processes that are scaling over a wide range. When driven 13 stochastically, the system is a Fractional Langevin Equation (FLE) that has been considered 14 in the context of random walks where it yields highly nonstationary behaviour. An 15 important difference with the usual applications is that I instead consider the stationary 16 solutions of the Weyl fractional relaxation equations whose domain is to t rather than 17 0 to t. 18 An additional key difference is that unlike the (usual) FLEs where the highest order 19 term is of integer order and the fractional term represents a scaling damping in the 20 fractional relaxation equation, the fractional term is of highest order. When its order is less 21 than 1⁄2 (this is the main empirically relevant range), the solutions are noises (generalized 22 functions) whose high frequency limits are fractional Gaussian noises (fGn). In order to 23 yield physical processes, they must be smoothed and this is conveniently done by 24 considering their integrals. Whereas the basic processes are (stationary) fractional 25 relaxation noises (fRn), their integrals are (nonstationary) fractional Relaxation motions 26 (fRm) that generalize both fractional Brownian motion, (fBm) as well as Ornstein27 Uhlenbeck processes. 28 Since these processes are Gaussian, their properties are determined by their second 29 order statistics; using Fourier and Laplace techniques, we analytically develop 30 corresponding power series expansions for fRn, fRm and their fractionally integrated 31 extensions needed to model energy storage processes. We show extensive analytic and 32 numerical results on the autocorrelation functions, Haar fluctuations and spectra. We 33 display sample realizations. 34 Finally, we discuss the predictability of these processes which – due to long 35 memories is a past value problem, not an initial value problem (that is used for example 36 in highly skillful monthly and seasonal temperature forecasts). We develop an analytic 37 formula for the fRn forecast skills and compare it to fGn skill. The large scale white noise 38 and fGn limits are attained in a slow power law manner so that when the temporal 39 resolution of the series is small compared to the relaxation time (of the order of a few years 40 in the Earth), fRn and its extensions can mimic a long memory process with a range of 41 −∞
Closing the Loop: Dynamic State Estimation and Feedback Optimization of Distribution Grids

This paper considers the problem of online feedback optimization to solve the AC Optimal Power Flow in distribution grids. This consists in continuously driving the controllable power injections and loads towards the optimal set-points in timevarying conditions and real-time. However, instead of assuming noise-free full state measurement like recent feedback optimization approaches, we connect a Dynamic State Estimation using available measurements, and study its dynamic interaction with the optimization scheme. We certify stability of this interconnection and the convergence of the state estimate and the control inputs towards the true state values and optimal set-points respectively. Additionally, we bound the resulting stochastic error. Finally, we show the effectiveness of the approach on a test case using high resolution consumption data.
Lifespan variation: Methods, trends and the role of socioeconomic inequality

textabstractIn demographic and public health research, the population health is most often summarized by the life expectancy at birth. Rarely is the variation around this average indicated. This can mask important differences in the shape of the lifespan distribution. In this thesis I aimed to undertake a comprehensive study of the variation in human lifespans. More specifically I set out to answer the following research questions: (1) What is the most appropriate way to measure variation in age-at-death? (2) What is the relationship between lifespan variation and life expectancy? (3) How much are educational differences contributing to lifespan variation? The data used in this thesis came from two sources: the Human Mortality Database and the Eurothine data set. The results of this thesis confirmed that there is no one appropriate method to measure lifespan variation. However, indices can disagree in their sensitivity to change in age specific mortality. In sections II and III it was shown that countries and educational subgroups with low life expectancy also tended to have higher lifespan variation. Although a close association existed between the two summary measures, some countries and populations had high lifespan variation for their life expectancy, owing to considerably higher levels of premature mortality. In general between-group educational differences in mortality accounted for around 1-10 percent of the total lifespan variation in Europe. Policies should be designed to address the high levels of premature mortality, particularly in vulnerable groups, in order to increase the equality between individuals in their length of life.
BIOLOGICAL FITNESS : A DISCUSSION OF DEFINITIONS AND METRICS by

Author: Mobley, Mariah, L. MS Institution: Purdue University Degree Received: August 2019 Title: Biological Fitness: A Discussion of Definitions and Metrics Committee Chair: Dr. Gordon McNickle The concept of biological fitness is foundational for our understanding of both ecology and evolution. Fitness is often described vaguely as an organism’s contribution to the next generation. The reason this is vague is because researchers define and measure fitness differently across fields. I suggest that the myriad definitions and ways to measure fitness commonly employed have led to debates and, seemingly contradictory results. In order to investigate the use of the concept of fitness, I performed a literature review and asked, (1) How is biological fitness defined and used by researchers? (2) How is fitness actually measured by researchers? To address these questions, I surveyed 478 papers published between 2012 and 2016, that included the word ‘fitness’ in the title, and were in the Web of Science categories of ‘ecology’ and ‘evolutionary biology’. In my analysis of the journal articles fitness was only defined 33% of the time. Among studies that did explicitly define fitness, I categorized 18 different definitions, though only 7 were found in more than 5% of papers. I also found differences in how fitness was measured. I found 87 measurements that I grouped into 13 categories. In addition to my survey of the literature, I performed an experiment to explore the relationship between different measures of fitness. Vegetative biomass and reproductive biomass are often both used as metrics of fitness by plant ecologists. In this experiment I determined the relationship between two popular measures of plant fitness vegetative biomass and reproductive yield. I found that these two proxies for plant fitness, vegetative biomass and reproduction, were unimodally related, meaning: 1) intermediate sized plants have the greatest reproductive output, and; 2) for any unique amount of reproduction there is both a small and a large plant with identical reproductive output. Two things emerge from the literature review and the experiment: first, given the many definitions that exist, researchers should be clear about which one they are using. Second, one must be clear about the expected relationship between proxy measurements and fitness, as it may be complex, or non-existent. CHAPTER
Running head: STRESS MANAGEMENT OF POST-ANESTHESIA NURSING STAFF 1 IMPROVING STRESS MANAGEMENT OF THE NURSING STAFF IN A POST- ANESTHESIA CARE UNIT by

Healthcare workers, especially nurses, experience high levels of stress every day due to the high demands of their jobs. Persistently high levels of stress can negatively impact an individual’s physical, mental, and psychological well-being while also effecting their job satisfaction and work performance. These conditions can eventually lead to high employee turnover and poor patient outcomes. Educating nurses about the importance of developing healthy stress management skills can help to prevent the development of negative coping habits, improve overall well-being, and improve patient care. Stress management interventions were implemented in the high stress environment of a post-anesthesia care unit. The nursing staff was familiarized with mindfulness-based practices. A stress management education session was presented at their staff meeting. The staff received weekly emails containing stress reduction strategies and they were encouraged to practice these strategies daily. Nurses were also challenged to perform a 1-minute daily meditation prior to beginning each shift. The interventions were evaluated using a pre and post-implementation survey containing items from the Perceived Stress Scale and the Mindful Attention Awareness Scale. Demonstrated by data comparison, the perceived level of stress within the unit was reduced after the implementation period and the states of mindfulness, attention, and awareness were increased among the nurses. The effectiveness, feasibility, and low budget of this project made it easily replicable throughout other departments and institutions.
MyoCount: a software tool for the automated quantification of myotube surface area and nuclear fusion index

It is often desirable to characterise the morphology of myogenic cultures. To achieve this, the surface area of myotubes is often quantified, along with the nuclear fusion index (NFI). Existing methods of such quantification are time-consuming and subject to error-prone human input. We have developed MyoCount, an open-source program that runs via the freely available MATLAB Runtime and quantifies myotube surface area and NFI. MyoCount allows the user to adjust its parameters to account for differences in image quality, magnification and the colour channels used in generating the image. MyoCount measures of myotube surface area and NFI were compared to the mean of measures performed by two blinded investigators using ImageJ software (surface area R 2 = 0.89, NFI R 2 =0.87). For NFI, the mean coefficient of variation (CV) between two investigators (17.6 ± 2.3%) was significantly higher than that between the investigator mean and MyoCount (13.5 ± 1.4%). For measurements of myotube area, the CV did not differ between both analysis methods. Given these results and the advantages of applying the same image analysis method uniformly across all images in an experiment, we suggest that MyoCount will be a useful research tool and we publish its source code and instructions for its use alongside this article.
The inflammation hypothesis and mental illness

Contemporary neuroscience and psychiatry are currently experiencing a rapid evolution. The foundations of these relatively new sciences are still largely theoretical and speculative. There are many competing hypotheses regarding the etiology and pathogenesis of mental illness. Unlike most somatic pathology, there is not a single laboratory test or objective disease marker for any psychiatric disorders. One of the dominant etiological paradigms in psychiatry involves the functional levels of neurotransmitters. Even this assumption is mootable, untestable, and widely disputed. Several psychiatric disorders - Depression, Schizophrenia, Bipolar Disorder, Alzheimer’s disease, Traumatic Brian Injury, Autism, Parkinson’s disease, and Post-Traumatic Stress Disorder are associated with a dysregulation of immune responses and measurably increased inflammatory markers. There is an empirical correlation of an over-activated immune system with the development of psychiatric symptomatology. By experimentally inducing systemic inflammation, cognition and behavior are adversely affected. By experimentally suppressing inflammation, sensorium and mood can be dramatically improved. Anti-inflammatory agents such as NSAIDS (COX-2 inhibitors), low-dose Aspirin (COX-1 inhibitors), and Polyunsaturated Fatty Acids (Omega-3 Fatty Acids) have demonstrated effectiveness – sometimes surpassing first-line psychotropic medications – in reducing psychiatric symptomatology. It has also been demonstrated that some antidepressant and antipsychotic medications exert measurable immune modulation and anti-inflammatory effects. This may in part explain some of their therapeutic actions further challenging the theoretical foundation of the neurotransmitter hypothesis. The notion of neuroinflammation is opening the door to a groundbreaking scientific endeavor. There is even a debate among these trailblazing scientists about what to call this promising and emerging field; Immunopsychiatry or Psychoneuroimmunology. A conspicuous question is then raised as to whether inflammation causes mental impairment or does psychiatric pathology induce inflammation? Is inflammation the chicken or the egg? This is an exciting new frontier in psychiatry. It will offer promising novel targets for treatment and new avenues for therapeutic innovation.
ICEMST 2014 : International Conference on Education in Mathematics , Science & Technology AN AUTOMATED SCORING APPROACH FOR ESSAY QUESTIONS

The automated scoring or evaluation for written student responses have been, and are still a highly interesting topic for both education and natural language processing, NLP, researchers alike. With the obvious motivation of the difficulties teachers face when marking or correcting open essay questions; the development of automatic scoring methods have recently received much attention. In this paper, we developed and compared number of NLP techniques that accomplish this task. The baseline for this study is based on a vector space model, VSM. Where after normalisation, the baseline-system represents each essay by a vector, and subsequently calculates its score using the cosine similarity between it and the vector of the model answer. This baseline is then compared with the improved model, which takes the document structure into account. To evaluate our system, we used real essays that submitted for computer science course. Each essay was independently scored by two teachers, which we used as our gold standard. The systems' scoring was then compared to both teachers. A high emphasis was added to the evaluation when the two human assessors are in agreement. The systems' results show a high and promising performance.
Agglomeration and Urban Manufacture Labor Productivity in Indonesia

Agglomeration, the spatial concentration of industries in a specific location, has been argued to improve productivity since it could provide positive externalities such as knowledge spillover, input sharing, and labor pooling. This paper examines the effect of large and medium manufacturing industry (LMI) agglomeration on labor productivity. Measuring the output and labor density as agglomeration effect by using 2009-2014 panel data from 44 cities and regions across the metropolitan areas of Indonesia, this study shows that in terms of output share, agglomeration positively contributes to labor productivity. On the other hand, in terms of labor density, agglomeration results in a negative impact on productivity. These findings suggest the government should expand industrial clusters in less densely populated areas, especially outside the island of Java, by providing necessary infrastructures such as electricity, ports, and roads, so that this development creates favorable economic conditions for investment and industrial development in such areas.
CORROSION BEHAVIOR OF TITANIUM DIOXIDE (TiO2)-COATED Al ALLOY IN SALINE

Al alloys have been used in many applications, however, they are susceptible to corrosion when exposed in saline environment. In this work, TiO2 nanoellipsoids with aspect ratios (AR) of 1, 2, 4 and 6 were synthesized, TiO2 coatings of AR 1, AR2, AR4, and AR6 were fabricated on AA2024-T3 Al alloy substrate, and their corrosion behaviors in the saline environment were investigated by analyzing the scanning electron microscope (SEM) imaging, potentiodynamic polarization scans and electrochemical impedance spectroscopy. TiO2 -coated Al samples showed better corrosion performance compared to the bare Al sample. Among the coated samples, TiO2 AR6 coated samples showed lower corrosion rate compared to other samples. Although TiO2 nanoellipsoids coatings show good corrosion resistance, it is noted that TiO2 coatings are porous, which allows the penetration of corrosive media through the pores to reach the surface of the substrate. A polystyrene (PS)-TiO2 AR6 nanocomposite coating was fabricated, where the pores of the coatings were sealed by polystyrene, which is expected to further improve the corrosion resistance of TiO2 coatings.
Antimicrobial and Antioxidant Activities of Some Medicinal Smokes Prescribed in Iranian Traditional Medicine for Catarrh

Background: Microbial resistance has recently become one of the major healthcare problems worldwide. Finding new sources of chemical active antimicrobial compounds, along with what has been produced by fungi is now a common approach to solve this problem. On the other hand, inflammation has recently been considered as an underlying factor of many diseases, and working on anti-inflammatory drugs is interesting as well. Information provided by Iranian traditional medicine (ITM) can be used as a source of inspiration in order to find the herbs with antimicrobial and antioxidant activity. Objective: The present study aimed to examine antimicrobial and antioxidant activities of 6 medicinal smokes prescribed in ITM for catarrh. Materials and Methods: Staphylococcus aureus ATCC 25923, Escherichia coli ATCC 8739, Pseudomonas aeruginosa ATCC 9027, Bacillus subtilis ATCC 6051, Candida albicans ATCC 10231, and Aspergillus niger ATCC 16404 were used in this study. In addition, the preliminary antimicrobial activity of Commiphora myrrha, Cinnamomum cassia, Costus arabicus, Nigella sativa, Pimpinella anisum, and Tetraclinis articulate was performed by the disc diffusion method. Further, the minimum inhibitory concentration and minimum lethal concentration were determined using the microdilution method. Finally, antioxidant activity was evaluated by measuring the reduction of the 1,1-diphenyl-2-picrylhydrazyl solution. Results: The results showed that C. arabicus, C. cassia, and P. anisum had considerable antimicrobial activities. Furthermore, antioxidant evaluation of the herbal smokes demonstrated the lowest IC50 for C. cassia (10.44 µg/mL), C. myrrha (13 µg/mL), and C. arabicus (15.16 µg/mL). Conclusion: In general, herbal medicinal smokes were found to have interesting antimicrobial and antioxidant activities. Therefore, more investigation on these smokes would be fruitful.
Study of Vicsek and Koch inspired fractals as EBG structures on mutual coupling of planar multiband antenna array

The effect of fractals, in the form of an Electromagnetic Bandgap (EBG) grid, on the mutual coupling of an antenna array is explored. The zeroth, first, and second iterations of Vicsek and Koch inspired fractals are employed in this paper. These fractals in the form of 2×1, 4×1, 2×2, and 4×2 EBG grids are laid between the two elements of a 1×2 antenna array. The antenna element of the 1×2 array has been designed on an FR4 Epoxy substrate of dimensions 50×50×1.6 mm and possesses a quad band resonance capable of supporting WLAN at 3.6 and 5.2 GHz. We observed minimal change in mutual coupling for the 3.69 GHz band for all iterations of both fractals in the form of all EBG grids. However for the 5.16 GHz band, we observed an improvement in mutual coupling by nearly 2dB for the Koch inspired fractal in the form of a 4×2 EBG grid with column separation of 10mm. Keywords—Mutual Coupling; Vicsek fractal; Koch inspired fractal; EBG; antenna array
CompTIA Security+ Guide to Network Security Fundamentals, Loose-Leaf Version

Mapped to the new CompTIA Security+ SY0-501 Certification Exam, best-selling COMPTIA SECURITY+ GUIDE TO NETWORK SECURITY FUNDAMENTALS, 6e, thoroughly prepares readers for professional certification and career success. The text covers threats, attacks, and vulnerabilities; technologies and tools for combating attacks, architecture, and design; identity and access management; risk management; and cryptography. It also includes expansive coverage of embedded device security, attacks and defenses, and the latest developments and trends in information security, including new software tools to assess security. New Hands-On Projectsand case activities help readers put what they learn into practice, while end-of-chapter exercises direct them to the Information Security Community Site for additional activities, blogs, videos, and up-to-the-minute news and insight from the field.
Working Paper No . 2013-04 Sports Facilities , Agglomeration , and Urban Redevelopment

We develop a monopolistic competition model of urban service consumption and production that includes spatial structure and property values. The model shows that the introduction of a new professional sports facility and team generates agglomeration effects that change the mix of services and property values, and increases local welfare, part of which is transferred to the team as subsidies for the construction of the facility. The distributional consequences of the new facility and the implications of property tax based financing for the subsidy are analyzed. JEL Codes: R13, R58, H71, L83