Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of seasonal diet composition changes
on the characteristics of the gastrointestinal tract contents
of the Eurasian beaver (Castor fiber)

The goal of the study was to compare chemical and physical parameters of the content of various gastrointestinal (GI) tract segments of adult beavers and to relate the obtained results to seasonal changes in the composition of natural diet. The study was conducted on 36 adult beavers originated from the natural environment that were captured in winter, summer and autumn. The obtained results demonstrated that pH, redox potential (Eh), dry matter (DM), short-chain fatty acids (SCFA) and distribution of food particles varied along the beaver GI tract during the year. The lowest value of pH was observed in stomach whereas the highest in the small intestine and cecum. The reverse pattern of changes was found for the value of redox potential. The research indicated that anaerobic conditions were predominant in the cecum and so contributed to development of microbial population. Also, the increase in the SCFA contents in the cecum and colon indicated that beavers belong both to hindgut fermenters as well as to the mixed moderate type animals. In summary, the obtained results indicated that seasonal changes in the diet composition affected physical and chemical parameters as well as microbial activity of the GI tract of beaver.
Mashtree: a rapid comparison of whole genome sequence files

In the past decade, the number of publicly available bacterial genomes has increased dramatically. These genomes have been generated for impactful initiatives, especially in the field of genomic epidemiology (Brown, Dessai, McGarry, & Gerner-Smidt, 2019; Timme et al., 2017). Genomes are sequenced, shared publicly, and subsequently analyzed for phylogenetic relatedness. If two genomes of epidemiological interest are found to be related, further investigation might be prompted. However, comparing the multitudes of genomes for phylogenetic relatedness is computationally expensive and, with large numbers, laborious. Consequently, there are many strategies to reduce the complexity of the data for downstream analysis, especially using nucleotide stretches of length k (kmers).
Penerapan Model Pembelajaran Inkuiri Terbimbing Untuk Meningkatkan Pemahaman Konsep Siswa Kelas VII Pada Materi Pengukuran

Tujuan penelitian ini untuk mendapatkan gambaran peningkatan pemahaman konsep siswa melalui model pembelajaran Inkuiri Terbimbing Jenis penelitian ini adalah kuantitatif dengan rancangan penelitian one group pre-test post-test design. Alat pengukuran dalam penelitian ini test pemahaman konsep berbentuk pilihan ganda, hasil post-test lebih tinggi dari hasil pre-test yaitu dari hasil rata-rata 35,25 menjadi 67,18. Dapat disimpulkan bahwa pemahaman konsep siswa meningkat dengan kategori sedang (N-gain=0,47) setelah diterapkan perlakuan dengan model pembelajaran Inkuiri Terbimbing pada materi pengukuran. Dalam penelitian ini aspek pemahaman konsep yang diukur dibatasi pada aspek; menafsirkan, mencontohkan, menjelaskan, membandingkan, dan mengklasifikasikan. Dari kelima aspek pemahamn konsep yang diukur yang mengalami peningkatan paling tinggi yaitu membandingkan sebesar 80%.
Radiative forcing of anthropogenic aerosols on cirrus clouds using a hybrid ice nucleation scheme

Abstract. Anthropogenic aerosols impact cirrus clouds through ice nucleation, thereby changing the Earth's radiation budget. However, the magnitude and sign of anthropogenic forcing in cirrus clouds is still very uncertain depending on the treatments for ice-nucleating particles (INPs), the treatments for haze particle freezing, and the ice nucleation scheme. In this study, a new ice nucleation scheme (hereafter the HYBRID scheme) is developed to combine the best features of two previous ice nucleation schemes, so that global models are able to calculate the ice number concentration in both updrafts and downdrafts associated with gravity waves, and it has a robust sensitivity to the change of aerosol number. The scheme is applied in a box model, and the ice number concentrations (9.52±2.08 L−1) are somewhat overestimated but are in reasonable agreement with those from an adiabatic parcel model (9.40±2.31 L−1). Then, the forcing and cloud changes associated with changes in aircraft soot, sulfur emission, and all anthropogenic emissions between the preindustrial (PI) period and the present day (PD) are examined using the CESM/IMPACT global model with the HYBRID scheme. Aircraft soot emissions decrease the global average ice number concentration (Ni) by -1.0±2.4×107 m−2 (−1 %) (over the entire column) due to the inhibition of homogeneous nucleation and lead to a radiative forcing of -0.14±0.07 W m−2, while the increase in sulfur emissions increases the global average Ni by 7.3±2.9×107 m−2 (5 %) due to the increase in homogeneous nucleation and leads to a radiative forcing of -0.02±0.06 W m−2. The possible effects of aerosol and cloud feedbacks to the meteorological state in remote regions partly contribute to reduce the forcing and the change in Ni due to anthropogenic emissions. The radiative forcing due to all increased anthropogenic emissions from PI to PD is estimated to be -0.20±0.05 W m−2. If newly formed secondary organic aerosols (SOAs) act as INPs and inhibit homogeneous nucleation, the Ni formed from heterogeneous nucleation is increased. As a result, the inclusion of INPs from SOA increases the change in Ni to 12.0±2.3×107 m−2 (9 %) and increases (makes less negative) the anthropogenic forcing on cirrus clouds to -0.04±0.08 W m−2 from PI to PD.
A Cloud adoption framework: assessing the factors and determinants of adoption cloud computing technology

Decision of adopting cloud paradigm in an organization is influenced by several technical & non-technical factors. Prior literature suggests that, uncertainty about initiating the cloud adoption process, less prior knowledge to cloud domain, unavailability of a standard cloud adoption framework; organizations are not able to complete the cloud adoption process. This research work intends to analyze the factors that impact the cloud adoption process, and to propose an adoption framework based on the identified factors. The factors impacting cloud adoption/migration are identified based on a detailed literature review of previous researches. Further, TOE and DOI adoption models are used to implement the cloud adoption framework. Quantitative methodology is used as a tool to validate the proposed framework. A web based questionnaire is used as a tool for collecting the data from various government organizations of KSA. Validity and reliability of the observed determinants is computed using statistical methods. Further, to validate the hypothesis t-test is performed. The result of this research highlights the most significant determinants that affect the cloud adoption or migration. While comparing with previous studies, this study is more focused towards technical challenges faced during cloud adoption.
The Effects of Group Sandplay Therapy on Anger Control and Interpersonal Relationship Problems among University Students

* Main author, doctoral course, Department of Child Welfare, Graduate School of Namseoul University (pre-woman71@hanmail.net) ** Corresponding author, doctoral course, Department of Child Welfare, Graduate School of Namseoul University (hhr4908@hanmail.net) *** Co-author, doctoral course, Department of Child Welfare, Graduate School of Namseoul University (youn4992@hanmail.net) 상징과모래놀이치료, 제10권 제1호 Journal of Symbols & Sandplay Therapy 2019, 6, Vol. 10, No. 1, 105-127.
Psychological Assessment and Quality of Life of patients with Colorectal Cancer at Assiut University Hospital and South Egypt Cancer Institute

Depression, anxiety, stress and poor quality of life are often psychological consequences of living with cancer. This study aimed to assess psychological symptoms and Quality of life among patients with colorectal cancer. A descriptive research design was used to assess patients diagnosed as colorectal cancer. The study was carried out at outpatient clinic of the oncology department at Assiut University Hospital and South Egypt Cancer Institute. Four tools were utilized to measure the variables of the study; the demographic data questionnaire, socioeconomic status scale, Quality of life (QOL) scale and Symptoms Check List (SCL-90-Revised). Results of the study: Females more than males. Most of the patients were living in rural areas , the vast majority of studied group were at middle level of socioeconomic status and have moderate quality of life most of them have cancer colon, (47.6%) of patients have loss of appetite, (64.2%) of them have weight loss and didn’t have colostomy. (39.7%) of them have received chemotherapy. A little high percent of patients have somatization and hostility . The study recommend that: liaison psychiatric nurse should be available to deal with psychiatric problems of patients.
On the Chameleonic Behaviour of Cholesterol through a Fractal/Multifractal Model

An increasing number of studies are beginning to show that both low-density lipoprotein and high-density lipoprotein cholesterol can constitute risk factors for myocardial infarction. Such a behaviour has been called by experts in the field the “chameleonic effect” of cholesterol. In the present paper, a fractal/multifractal model for low-density lipoprotein and high-density lipoprotein cholesterol dynamics is proposed. In such a context, a fractal/multifractal tunneling effect for systems with spontaneous symmetry breaking is analyzed so that if the spontaneous symmetry breaking is assimilated to an inflammation (in the form of a specific scalar potential), then a coupling between two fractal/multifractal states can be observed. These two states, which have been associated to biological structures such as low-density lipoprotein and high-density lipoprotein, transfer their states through a fractal/multifractal tunneling effect. Moreover, in our opinion, the widely used notions of “good” and “bad” cholesterol must be redefined as two different states (low-density lipoprotein and high-density lipoprotein) of the same biological structure named “cholesterol. ” In our work, for the first time in the specialized literature, low-density lipoprotein and high-density lipoprotein have been regarded as two different states of the same biological structure (named “cholesterol”), such as in nuclear physics, the neutron and proton are two different states of the same particle named nucleon.
An SMR Signal Detection Method for Directing a Robot to the Right and Left

One of the important issues in designing a brain-computer interface system is to select the type of mental activity to be imagined. In some of these systems, mental activity varies with user intent and action that must be controlled by the brain-computer system, and in a number of other signals, the received signals contain the same activity related mental activity that should be performed by the brain-computer system. Take up the purpose of this paper is to identify and distinguish between multiple movements of the hand, including lifting and lowering the whole hand, from the electromagnetic signal (EEG) signal and the control of a robot by these signals. Since the purpose of using motor signals is selected from the various channels, channels 3c and 4c are selected as the preferred channel. This set of signals in total was about six healthy people. In this paper, support vector machines (SVM), multilayer perceptron (MLP) and probabilistic neural network (PNN) were designed to extract data properties.
Molecular Detection of Virulence Factors Genes in Pseudomonas aeruginosa Isolated from Different Infections Cases in Al-Diwaniya Hospital

Pseudomonas aeruginosa is the most important and dangerous organism in human infections due to production of several extracellular and cell-associated virulence factors that cause severe tissue damage, the most important virulence factors including (exoenzyme S, exotoxinA and lipoprotein), these factors was encoded by (exoS, toxA and oprI gene respectively). In this study we used polymerase chain traction technique (PCR) for detection virulence factor genes producing by P. aeruginosa that isolated from wound, burn and pulmonary tract infections patient swab samples. The PCR results was show that all P. aeruginosa isolates was carried virulence factors genes with difference in prevalence between them. The burn infection P. areuginosa isolates were show high prevalence of virulence factors genes more than wound and pulmonary tract infections isolates as well as the virulence factor gene (ToxA) was show high production in most isolates. In this study we concluded that the production of virulence factors genes in P. aeruginosa is important to human infection especially (ToxA) gene and the PCR technique is very specific and fast method in detection virulence factor genes in P. areuginosa. Introduction: P. aeruginosa is an opportunistic pathogen that pathogen capable of infecting the humans (1) . In human can be cause severe infections in virtually all tissues. Pulmonary tract infection with P. aeruginosa is a major cause of morbidity and mortality in patients with cystic fibrosis (2) . P. aeruginosa infections in hospitals mainly affect the patients in intensive care units with burn wound infections or chronic illnesses (3) . P. aeruginosa possesses a large number of cell-associated and extracellular virulence factors, which are tightly regulated by cell-to-cell signaling systems (4) . Most virulence factors produced by this bacterium which is important in its pathogenicity are: Exotoxin, Exoenzyme S, L lipoprotein, las B elastase and phospholipase C (5) . Among these virulence factors are a variety of secreted factors, such as proteases, phospholipases and the exotoxin A. P. aeruginosa strains also possess a type III secretion system that allows them to deliver toxins (effectors) directly into the cytoplasm of a host cell (6) . Exotoxin A which important causes tissue necrosis since it blocks protein synthesis (7) . Exotoxin A, encoded by the toxA gene, inhibits protein biosynthesis by transferring an ADP-ribosyl moiety to elongation factor 2 of eukaryotic cells. Exoenzyme S, encoded by the exoS gene, is also an ADPribosyltransferase that is secreted by a type-III secretion system in to the cytosol of epithelial cells (8) . L and I lipoproteins are two outer membrane proteins of P. aeruginosa responsible for inherent resistance of P. aeruginosa to antibiotics and antiseptics (9) .
Refugee Children’s Fears and Coping Mechanisms: A Preliminary Investigation

It is important for counselors to understand refugee children’s fears and coping mechanisms as these children adjust to their new environment. This qualitative study explored the fears and coping strategies of 18 refugee children from the countries of Haiti, Sudan, Cuba, Venezuela, and Vietnam whose families sought asylum in the United States. Semi-structured interviews were conducted with the children and their parents. Frequency distributions, content analysis, conclusions, and implications of the findings are included.
ANALYSIS OF POVERTY AMONG THE ELDERLY IN SOUTH AFRICA USING THE 2018 GHS DATA

The different approaches to poverty reduction will only be effective if no category of people is left behind or miss diagnosed. There has been attention on gendered poverty, poverty among the youth, and fewer studies have focused on poverty among the elderly. The seniors face a different kind of poverty that is due to the dynamics that comes with age. As people get older their ability to participate in a productive capacity declines and that reduced their ability to earn or maintain the level of income earned in their productive age. There is need to understand the nature of poverty and which categories within the age group are more vulnerable. Using data collected in 2018 by statistics South Africa, this paper analyses the nature of poverty among the elderly (>60 years old). Focus will be on the individual and household characteristics that determine the poverty status. The paper use both descriptive statistics and a logistic regression in the analysis on poverty among the elderly.
Comparing species interaction networks along environmental gradients: Networks along environmental gradients

Knowledge of species composition and their interactions, in the form of interaction networks, is required to understand processes shaping their distribution over time and space. As such, comparing ecological networks along environmental gradients represents a promising new research avenue to understand the organization of life. Variation in the position and intensity of links within networks along environmental gradients may be driven by turnover in species composition, by variation in species abundances and by abiotic influences on species interactions. While investigating changes in species composition has a long tradition, so far only a limited number of studies have examined changes in species interactions between networks, often with differing approaches. Here, we review studies investigating variation in network structures along environmental gradients, highlighting how methodological decisions about standardization can influence their conclusions. Due to their complexity, variation among ecological networks is frequently studied using properties that summarize the distribution or topology of interactions such as number of links, connectance, or modularity. These properties can either be compared directly or using a procedure of standardization. While measures of network structure can be directly related to changes along environmental gradients, standardization is frequently used to facilitate interpretation of variation in network properties by controlling for some co-variables, or via null models. Null models allow comparing the deviation of empirical networks from random expectations and are expected to provide a more mechanistic understanding of the factors shaping ecological networks when they are coupled with functional traits. As an illustration, we compare approaches to quantify the role of trait matching in driving the structure of * Address for correspondence (Tel: +41 44 632 32 03; E-mail: loic.pellissier@usys.ethz.ch). † Authors contributed equally to the work. Biological Reviews 93 (2018) 785–800 © 2017 Cambridge Philosophical Society 786 Loïc Pellissier and others plant–hummingbird mutualistic networks, i.e. a direct comparison, standardized by null models and hypothesis-based metaweb. Overall, our analysis warns against a comparison of studies that rely on distinct forms of standardization, as they are likely to highlight different signals. Fostering a better understanding of the analytical tools available and the signal they detect will help produce deeper insights into how and why ecological networks vary along environmental gradients.
CHANGES IN TOTAL PHENOLICS AND DPPH ̇ SCAVENGING ACTIVITY DURING DOMESTIC PROCESSING IN SOME CEREAL GRAINS

The aim of this work to investigate the changes in total phenolic content and free radical scavenging abilities against the stable 2,2-diphenyl-1-picrylhydrazyl (DPPH assay) during soaking and germination of three cereal grains; wheat (Sids 1), corn (H310 White) and sorghum (Giza 15) grown in Sohag Governorate, Egypt. Total phenolic compounds in wheat, sorghum and corn were 381.4, 288.5 and 204 mg/100g, respectively. Soaking and germination processes showed significant decrease in total phenolic compounds and antioxidant activity. Losses of total phenols during soaking for 12 hour were 15.18, 14.9 and 5.96 % of its initial values in raw materials, in wheat, sorghum and corn, respectively. Germination process for 48 hour led to decrement of total phenols ranged from 39.3 43.95 % in investigated cereal grains of its initial values in raw materials. Sorghum had higher antioxidant activity than wheat and corn, it was 37.28, 34.44, 33.05% in raw materials, respectively. DPPH radical scavenging activity decreased during soaking and germination processes. Losses was 6.85, 13.49 and 16.84% during soaking while in Germination DPPH activity decreased to 30.79, 21.6, 20.12% of its initial values after germination for 48 hour in wheat, corn and sorghum, respectively. Gross chemical composition for the whole grains was studied.
Older Adult Susceptibility to Fraudulent Computer Pop-Up Interruptions. In T. Z. Ahram, & D. Nicholson (Eds.), Advances in Human Factors in Cybersecurity: Proceedings of the AHFE 2018 International Conference on Human Factors in Cybersecurity, July 21-25, 2018, Loews Sapphire Falls

The proliferation of occasionally Internet connectivity and accessibility has been accompanied by an increase in cyber-threats, including fraudulent communications. Fake computer updates, which attempt to persuade people to download malicious software by mimicking trusted brands and/or instilling urgency, are one way in which fraudsters try to infiltrate systems. A recent study of young university students (M 18.52-years) found that when such pop-ups interrupt a demanding cognitive task, participants spent little time viewing them and were more likely to miss suspicious cues and accept these updates compared to when they were viewed without the pressure to resume a suspended task [1]. The aim of the current experiment was to test an older adult sample (N = 29, all >60 years) using the same paradigm. We predicted that they would be more susceptible to malevolent pop-ups [2]; trusting them more than younger adults (e.g., [3]), and would attempt to resume the interrupted task faster to limit forgetting of encoded items. Phase 1 involved serial recall memory trials interrupted by genuine, mimicked, and low authority pop-ups. During phase 2, participants rated messages with unlimited time and gave reasons for their decisions. It was found that more than 70% of mimicked and low authority pop-ups were accepted in Phase 1 vs ~80% genuine pop-ups (and these were all approximately 10% higher than [1]). This was likely due to a greater tendency to ignore or miss suspicious content when performing under pressure, despite spending longer with messages and reporting high awareness of scam techniques than younger adults. Older adult participants were more suspicious during Phase 2 performing comparably to the younger adults in [1]. Factors that may impact older adult decisions relating to fraudulent computer communications are discussed, as well as theoretical and practical implications.
Analysis of credit risk faced by public companies in Brazil: an approach based on discriminant analysis, logistic regression and artificial neural networks

The aims of the present article are to identify the economic-financial indicators that best characterize Brazilian public companies through credit-granting analysis and to assess the most accurate techniques used to forecast business bankruptcy. Discriminant analysis, logistic regression and neural networks were the most used methods to predict insolvency. The sample comprised 121 companies from different sectors, 70 of them solvent and 51 insolvent. The conducted analyses were based on 35 economic-financial indicators. Need of working capital for net income, liquidity thermometer, return on equity, net margin, debt breakdown and equity on assets were the most relevant economic-financial indicators. Neural networks recorded the best accuracy and the Receiver Operating Characteristic Curves (ROC curve) corroborated this outcome.