Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of a Health Training Course on Premenstrual Syndrome Symptoms

Physical activity is one of the most suitable strategies for treating premenstrual syndrome (PMS) to reduce pressure and create a balance in the chemical secretions of the brain. The general purpose of this research was to study the effects of Pi late's exercises on PMS. This semi-empirical study was conducted on 50 inactive 20-35 year old women with definitive diagnosis of PMS. The subjects were randomly divided into the experimental and control groups. Training in the experimental group was carri ed out in three 60- minute sessions per week for 8 weeks under the supervision of a Pilate's instructor. The Wicks' lambda test at the p? 5% significance level was used to analyze the data. Mood, physical, and behavioral symptoms after the 8-week Pilates training decreased in the experimental group. Comparison of the results showed that the reduction in physical symptoms was more pronounced, and that behavioral symptoms ranked second and mood symptoms third in this respect. Pilate's exercises were effective in reducing physical, mood, and behavioral symptoms resulting from PMS.
Reconfiguring knowledge management: Combining intellectual capital, intangible assets and knowledge creation

: Intellectual Capital, Intangible Assets and Knowledge Creation are all concepts that are strongly linked to the phenomenon of Knowledge Management. Yet they have only been parallel to each other. This controversy between different approaches has also re-sulted in vague definitions of Knowledge Management. This paper will critically discuss the definitions of these concepts. The analysis shows that different concepts actually focus on different angles of the topic. Based on this, a model will be built that ties all of them into a uni-tary entity. At the same time, this model gives a reconfigured definition of the concept of knowledge management.
The Small Satellite Reliability Initiative: A Public-Private Effort Addressing SmallSat Mission Confidence

Presently, most CubeSat components and buses are generally not appropriate for missions where significant or indeterminate risk of failure is unacceptable. This has precluded their use in many cases where their attributes could otherwise enable or enhance mission objectives. However, in the future, CubeSats and SmallSats, which deviate from CubeSat form factors but often incorporate CubeSat components and subsystems, will address challenges that many presently consider to be beyond the platform’s capabilities. This growing potential utility, combined with the limited volume of successful CubeSat flight heritage, is driving an interagency effort to improve small satellite mission confidence. The Small Satellite Reliability Initiative (SSRI)—an activity with broad participation from civil, DoD, and commercial space systems providers and stakeholders—has been targeting this challenge. This paper will update the community on how the public-private collaboration is being executed. It will discuss mission confidence approaches considered and defined to date, why and how they were derived, and next steps the team will implement to broaden SmallSat mission potential.
Immunohistochemical Aspects on (HSP70) and its Correlation to Clinical Stages, Pathological Grading and Hormones Receptors (ER, PR, HER-2) in Breast Cancer (BC) Women from South of Iraq

Breast cancer considered the most common malignancy . Therefore this study was aimed to review the observations and information on relationship of preoperative level of (HSP70) with hormones receptors (ER,PR,HER-2) and the expression of these receptors in biopsies from patients with different stages and grades of disease by immunohistochemical method. In this study total number of (130)cases was analyzed and most patients diagnosed with stage (T111) then (T11)and (T1) with highly significant difference at (p≤ 0.05) and the same results was obtained from classified tumor grading with (BC)patients. The recent study evaluated level of (HSP70) in all (BC)patients ,the data showed highly significant difference and the mean level was increased in (71)case compared to control ,also we evaluated the relationship between tumor staging and grading with level of (HSP70) and data revealed to high level in (T111) patients while no signification between (T1,T3) ,the same results recorded between tumor grading and level (HSP70), hormones receptors expression (ER,PR,HER-2) and its correlation with (IL-6)level was also determined ,the( HSP70) with (ER+)compared to (ER-) with high significance (p=0.00),the same results shown with (PR+) and(HER-2) expression and (HSP70)in all (BC)patients. The role of (HSP70) in (BC) immunity ,carcinogenesis ,cancer pathogenesis ,tumor initiation ,growth and metastasis . Results also explained correlate of (HSP70)with clinical staging and grading ,these findings pointed to an important role in the progression of (BC) at least in patients with advanced disease stages. Data determined that the (ER+)(PR+) positive tumor more reactive with(HSP70) which explained the effect of this factor on hormones receptors. Moreover present study showed little elevated in concentrate of (HSP70) with Her2+as compared with Her2- but with no significant differences,(p=.158). Immunhistochemical staining was used in this study and results showed variable degree of staining Within invasive ductal and lobular carcinoma types compared to control.
How Accurate are Real-Time Estimates of Output Trends and Gaps?

Real-time estimates of output gaps and trends are important tools for macroeconomic analysis. But how accurate are estimates of real-time gaps and trends? This article discusses the problem of estimating gaps and trends in real time and constructs measures of their precision. The analysis is based on band-pass filtering methods augmented with univariate forecasts. The empirical analysis suggests that there is considerable uncertainty associated with real-time estimates of trends and gaps.
A Survey on frequent pattern mining methods-Apriori,Eclat,FP growth

— – Frequent pattern mining is one of the most important task for discovering useful meaningful patterns from large collection of data.Mining of association rules from frequent pattern from massive collection of data is of interest for many industries which can provide guidance in decision making processes such as cross marketing, market basket analysis, promotion assortment etc. The techniques of discovering association rule from data have traditionally focused on identifying relationship between items predicting some aspect of human behavior, usually buying behavior. In this paper ,the study includes three classical frequent pattern mining methods that are Apriori, Eclat, FP growth and discusses some issues related with these algorithms.
A novel rule based approach for entity relations extraction

There are always new challenges in the extraction of object (entity) relations contained in unstructured or semi structured text documents found in the Internet, due to the volume of the documents, the evolution of the text language, and the fast Internet growth. In this paper, the authors present the description and the experimental results of a novel role based approach in mining the entities and its relations. The proposed method defines a new concept of entity relationship which treat entities relation as the relation of the main object and its supporting object. The relation between these objects are extracted through pattern learning process that utilize the Indonesia WordNet as an external knowledge. Based on the performance evaluation of the proposed method, it can be confirmed that it is feasible to apply the method in the area. The feasibility of the method is measured by the accuracy of the extraction process in 10 experiments. The average F-score values for the experiments are 0.895 and 0.795 in main object extraction and supporting object extraction respectively.
A Generic Simulink Model Template for Simulation of Small Satellites

This paper presents a template architecture for a straightforward specification of small satellite missions by means of a domain specific language. Furthermore, the process to transform this model to a platform-dependent, executable simulation is depicted. As a first prototype environment, Simulink has been selected. The design adaptation during the developing process is illustrated using the power system of the OOV-TET satellite.
Impact of Inadequate Urban Planning on Municipal Solid Waste Management in the Niger Delta Region of Nigeria

This study examines the impact of inadequate urban planning on municipal solid waste management (MSWM) in the Niger Delta Region (NDR) of Nigeria. The continuous migration and high concentration of people, administration and industrial activities in the region with little or no implementation of urban planning procedures during the development of the settlements in the region has contributed to increase the problem of MSWM in the NDR. It is not uncommon to see streets, roads, undeveloped plots of land and drains littered with solid waste in most Niger Delta cities, towns and communities. The data for this research were gathered from field surveys, observations, questionnaires as well as desktop information from published materials. Chi-Square statistical method was used in the analysis of the correlation data. The results show that there is a strong relationship between inadequate waste collection and the existence of unplanned settlements in the region. The study also revealed that indiscriminate waste disposal is strongly linked with the existence of unplanned settlements in the NDR of Nigeria. Therefore, the implementation of urban planning procedures and inclusion of waste management during the building and development of cities, towns and villages in the Niger Delta should be taking as a matter of high priority if cities in the region are to be clean and free from wastes and environmental pollution.
Statistical Modeling of Corrosion Failures in Natural Gas Transmission Pipelines

Natural gas pipelines are critical component of U.S. energy infrastructure. The safety of these pipelines plays a key role in the gas industry. Therefore, understanding pipeline failure characteristics and consequences is a very important criterion in decisions making process associated with future design and maintenance of natural gas pipelines. The oil and gas industry spends billions of dollars annually for the corrosion-related issues due to aging and deterioration processes in pipeline networks. Therefore, pipeline operators need to constantly evaluate and update their corrosion prevention strategies. The loss due to corrosion failures is the main motivation for the oil and gas industry to develop accurate maintenance models based on failure frequency. Statistical pipeline failure models and proper maintenance decisions play a significant role in reducing the failure rates of the pipelines and ultimately enhance the cost effectiveness and safety of the pipelines. This paper fulfilled the following two objectives: (1) failure mode characteristics identification, and (2) model development to address the failure rate and reliability. The pipeline failure incident data used for this study was collected from eleven largest natural gas transmission pipeline operators’ data from 2001 to 2011. The pipeline networks were divided into two major modes: internal and external corrosion. Internal corrosion refers to the failure inside the pipe due to the liquid characteristics and operating conditions whereas external corrosion refers to the failure due to surrounding environment outside the pipeline. Two major applied stochastic models, Homogeneous Poisson Process (HPP) and Non-Homogeneous Poisson Process (NHPP), were tested to analyze the reliability trend within categorized installation times. The outcome of the tests on the reliability models shows that the reliability should be modeled with NHPP and the trend is dominantly deteriorating for external and internal corrosion with a few exceptions on stationary and improving. It was also shown that decades of installation and the number of previous failures are the two significant pipeline failure characteristics. The result of this study assists decision-making process in the oil and gas industry to predict the expected number of failures in future transmission pipeline operation more accurately and facilitates the utilization of proper preventive maintenance strategies. Pipelines 2016 195
Using low-molecular mass pI markers in proteomic staining-free method for study of posttranslationally modified proteins

At present the knowledge of proteome plays very important role in the study of living processes. Special attention in our lab is paid to the investigation of the proteome of barely grains. The aim is to contribute to understanding of malting processes and to selection of malting barley cultivars. Proteins are the major functional molecules of life made of amino acids arranged in a linear chain linked together by peptide bonds. The residues in a protein are often chemically altered in a process known as post-transcriptional modification (PTM): either before the protein can function in the cell, or as part of control mechanisms. The identification of the PTM is experimentally difficult. Due to the fact that many samples, mainly of biological origin, are complex mixtures of proteins with a wide range of molecular masses, salts and other compounds, proteins should be separated and purified prior to their identification by mass spectrometry. Traditionally, most proteomics researches are based upon two-dimensional gel electrophoresis involving isoelectric focusing (IEF) as one dimension. Separated compounds are focused into very sharp bends according to their pI values during IEF. They are twice or more concentrated in this zones. However, ampholytes present in gel and creating pH gradient during IEF complicate the visualizing the separated proteins by staining and make this method impracticable for common proteomic utilization. The aim of this work was to develop and optimize the novel staining-free proteomic procedure for separation of intact proteins by gel IEF in presence of low-molecular mass pI markers and subsequent determination of molecular masses of separated compounds in the gels by MALDI-TOF/TOF MS. The selected set of pI markers includes both colored and colorless compounds with known low-molecular mass. Thus, the identification of both pI marker and proteins in the same excised piece of gel by MS technique is expected to give reliable information about the correct pI values of analyzed proteins even in complex samples.
Bioactive compounds and antioxidant potential in fresh and dried Jaffa® sweeties, a new kind of citrus fruit

Bioactive compounds in the edible parts of fresh and dried Jaffa® sweeties, a new kind of citrus fruit, were analysed and their antioxidant capacities were assessed. Antioxidant-rich fractions were extracted from fresh and dried sweeties with 1.2 M HCl in methanol/water (1:1 v/v), and the antioxidant activities of these extracts were evaluated. Using the β-carotene/linoleate model system, the extracts from equivalent quantities of fresh and dried sweeties showed 89 and 87% antioxidant activity respectively. Similarly, using the DPPH radical-scavenging method, the extracts showed 87 and 85% antioxidant activity respectively. The best correlations were between caffeic acid content and β-carotene and DPPH antioxidant activity values (r = 0.9849 and 0.9798 respectively, p = 0.005). Both fresh and dried sweeties are bioactive natural products; when fresh fruits are not available, properly dried sweeties could be used as a substitute. Copyright © 2004 Society of Chemical Industry
Reflections on a Teaching Commons Regarding Diversity and Inclusive Pedagogy

Recently, twenty-one instructors at a Midwestern university participated in a faculty development seminar entitled, “Developing Pedagogies to Enhance Excellence and Diversity. ” They designed a pedagogical change for the following academic year based on the workshop. During the following year, we collected data on the workshop participants through surveys and interviews to discover if they had implemented the proposed changes and what they discovered in the process. Thirteen of the twenty-one participants responded to our request for information and nine implemented their proposed changes during our data collection. Reviewing the data, we found three areas where participants made changes: application of pedagogical innovations, equal access to learning and inclusive pedagogy, and assessment of power and position as teacher. Many continued to reflect on how to make these changes more effective and indicated a desire for collegiality to sustain them in their efforts to improve their teaching practices.
Human Perceptions of Sensitive Content in Photos

Before we can obfuscate portions of an image to enhance privacy, we must know what portions are considered sensitive. In this paper, we report results from a study aimed at identifying sensitive content in photos from a human-centered perspective. We collected sensitive photos and/or descriptions of sensitive photos from participants and asked them to identify which elements of the photo made each photo sensitive. Using this information, we propose an initial two-level taxonomy of sensitive content categories. This taxonomy may be useful to privacy researchers, online social network designers, policy makers, computer vision researchers and anyone wishing to identify potentially sensitive content in photos. We conclude by providing insights about how these results may be used to enhance computer vision approaches to protecting image privacy.
Two flavors of DRAT

DRAT proofs have become the de facto standard for certifying SAT solvers' results. State-of-the-art DRAT checkers are able to efficiently establish the unsatisfiability of a formula. However, DRAT checking requires unit propagation, and so it is computationally non-trivial. Due to design decisions in the development of early DRAT checkers, the class of proofs accepted by state-of-the-art DRAT checkers differs from the class of proofs accepted by the original definition. In this paper, we formalize the operational definition of DRAT proofs, and discuss practical implications of this difference for generating as well as checking DRAT proofs. We also show that these theoretical differences have the potential to affect whether some proofs generated in practice by SAT solvers are correct or not.
Occupational Stress and its Relation to Insomnia among Nurses of Educational Hospitals in Qazvin

ABSTRACT Stress is an inevitable part of life. It is a universal phenomenon and general experience of human which is necessary for his/ her survival and growth. It affects everyone irrespective of age, gender, race, economical condition or educational level. Although stress can be natural and necessary, if it is strict, continuous and repetitious and an individual is not able to respond to it effectively or if supportive sources are limited, it becomes a negative phenomenon which brings about physical and psychological disorders. The present study aimed to determine occupational stress level and conditions causing stress among nurses of educational hospitals in Qazvin Province. This is a sectional study on 194 nurses working in health care centers of Qazvin Province. Demographic questionnaire and Philip Rice's occupational stress questionnaire were completed by the nurses. In addition, they were requested to answer four more questions about insomnia and then the data was collected and analyzed using SPSS statistical software. Occupational stress has very high prevalence among nurses. The study showed that 91/2% of them experienced high levels of occupational stress. There is a significant relation between wards and occupational stress. In addition, the most important stressors among the nurses were recognized and the ways they respond to them were also studied. Moreover, the relation between the nurses’ occupational stress and insomnia was examined. This study showed that the level of occupational stress among nurses was significant and there was a clear and meaningful relation between stress and the ward they work in. Among the stressors were physical tiredness due to work, emergency situations, heavy workloads and performing tasks requiring less knowledge and last but not least having multiple chiefs. It was also found out that nurses' occupational stress played a pivotal role in their insomnia status. Keywords: Occupational stress, nurses, insomnia status, confronting with stress
Breeding Bird Assemblages Inhabiting Riparian Buffer Strips in Newfoundland, Canada

Throughout most of the North American boreal forest, riparian buffer strips are left during clearcutting. Although this practice is considered a means to reduce adverse effects of timber harvesting on terrestrial fauna, little research has been conducted to quantify the extent to which buffer strips are used by wildlife. We compared breeding bird assemblages (grouped into 5 habitat guilds) in undisturbed shoreline habitats with those in 20-50-m-wide riparian buffer strips in balsam fir (Abies balsamea) forests on insular Newfoundland, Canada. Total avian abundance was higher along buffer strips than undisturbed shorelines because of a greater abundance of ubiquitous species and species associated with clearcut edge habitats. Abundances of forest generalist, interior forest, and riparian species were similar between buffers and controls. Riparian buffer strips provided habitat for a diverse avian assemblage and maintained many riparian and woodland species in areas of intensive clearcutting. Counts of riparian species did not increase in wider buffers, likely due to their association with habitats adjacent to water, which do not increase in proportion to strip width. Total numbers of interior forest birds, many species of which may be declining in northeastern North America, may increase in wider buffers, but these species were rare even in the widest strips sampled (40-50 m) when compared to local interior forest habitat. Furthermore, 3 of 6 species in the interior forest guild were not observed in any buffer strip. While riparian conservation is essential, separate but complementary conservation strategies clearly are required to protect riparian and interior forest species.
AppShield: Protecting Applications Against Untrusted Operating System

Commodity operating systems are known to be vulnerable to rootkit attacks due to their enormous code base and complex logic. Since the OS runs with a higher privilege than user applications, the rootkit residing in the kernel can access the entire user application space, even when the application is designed and implemented with security considerations. Existing systems protecting user-space code have various drawbacks, such as high performance overhead, large Trusted Computing Base (TCB), hardware modifications, or with a restriction imposed on the protected code. Moreover, several newly identified threats in our paper are evidence that protecting applications from malicious OS is more challenging than previously realized. In this paper, we present the design and implementation of AppShield, a hypervisor-based approach that efficiently and reliably safeguards code, data and execution integrity of a critical application. The protection overhead is localized to the protected application such that unprotected applications are not affected. We implement the prototype of AppShield with a tiny hypervisor. We experiment AppShield with several existing applications on a Linux platform and the results show that the performance costs on CPU computation, disk I/O and network I/O are insignificant.