Miracle-dz/UniFAR-FTUs huggingface dataset:
Secure Group based Routing and Flawless Trust Formulation in MANET using Unsupervised Machine Learning Approach for IoT Applications

INTRODUCTION: Mobile Adhoc Network (MANET) is integrated with Internet of Things (IoT) in many application cases due to its flexibility and scalability. The dynamic nature of MANET introduces some security threats in IoT environment. In those threats, Blackhole attack and Grayhole attack are severe routing attacks that disrupts routing algorithm to crack transmission in the entire network. OBJECTIVES: Many security mechanisms are introduced in MANET based on trust computation schemes. However, computation of inaccurate trust value degrades the performance of mitigation schemes. Thus the major objective of this work is to design a novel security mechanism to protect the MANET-IoT from different adversaries. METHODS: in this paper we propose a novel group based routing algorithm with recommendation filtering supported by security monitors (SMs). Unsupervised machine learning algorithm is adapted for the purpose of recommendation filtering in the network. Initially the entire network is grouped by Secure Certificate based Group Formation (SCGF) algorithm. In each group, Recommendation Filtering by K-means algorithm (RF-K means) algorithm is employed to perform trust computation. For secure and optimal route selection, hybrid optimization algorithm that combines Genetic Algorithm and Fire Fly Algorithm (GA-FFA) is proposed. Data transmission is protected by novel Hash Message Authentication Code with Advanced Encryption Standard (HMAC-AES) algorithm in which hash function is integrated with cryptography function. RESULTS: The proposed work is validated in network simulator-3 environment and the obtained results show better performance in terms of packet delivery ratio (96.3%), throughput (135kbps), delay (3.26ms), detection rate (99%), and energy consumption (8.5%). CONCLUSION: The MANET-IoT network is secured by group formation and trust filtering approaches. Further, involvement of cryptography function ensures data security whereas hash function ensures data integrity.
Treatment of cataplexy

Introduction: The term cataplexy originates from the Greek κατά (kata, ‘down'), and πληξις (plexis, ‘stroke'). Cataplexy, a sudden loss of muscle tone in response to strong emotions is the most specific symptom of narcolepsy. It is thought to be due to disturbed rapid eye movement (REM) sleep regulation and portrayed as REM sleep atonia occurring at the wrong time. However, there are several arguments against including cataplexy in the ‘state boundary control' hypothesis. Cataplexy is most likely secondary to the disruption of different neurological pathways and eliciting the mechanisms by which cataplexy unfolds still remains an undergoing challenge. Areas covered: In this review, the authors appraise the neurobiology of cataplexy and emphasize the prospective approaches for the treatment of this ailment. The authors describe current pharmacological approaches that address this symptom, such as serotonergic and noradrenergic agents and γ-hydroxybutyrate. In addition, drugs that are still in the preclinical phase, such as triple reuptake inhibitors, thyrotropin-releasing hormone, histamine agonists and hypocretin are also reviewed. Finally, the authors conduct a comprehensive analysis of the various promising future treatments for cataplexy. Expert opinion: Cataplexy remains a fascinating symptom, showing complex interactions between systems involving emotions and those involved in motor control. Incorporating and integrating this knowledge will be imperative to further understand and treat this phenomenon.
Sir Clive W.J. Granger Memorial Special Issue on Econometrics Clive W.J. Granger and Cointegration

Clive Granger developed the fundamental concept of cointegration for linking variables within non-stationary vector time series. Granger discovered cointegration while trying to refute a critique by Hendry of his research with Paul Newbold on ‘nonsense regressions’ between nonstationary data. Although the initial estimation and testing approach in his paper with Robert F. Engle has been superceded by a plethora of methods, the concept of cointegration has led to a merger of economic analyses of long-run equilibrium relations with empirical dynamic systems. The multivariate cointegration method of Søren Johansen extended Nobel Laureate Trygve Haavelmo’s earlier formulation of an economy as a system of simultaneous stochastic relationships to nonstationary time series. Clive Granger was awarded The Sveriges Riksbank Prize in Economic Science in Memory of Alfred Nobel in 2003 for his contribution, sharing it with Rob Engle, whose citation was for developing methods for analyzing changing variances. 2010 Mathematics Subject Classifications: 62M10, 91B84
A Case of Hyponatremia-induced Seizures in an Infant Secondary to Water Intoxication from the Use of Almond Milk

Pediatric seizures are a common presentation to the emergency department. It is important to separate non-febrile seizures from febrile seizures, as non-febrile seizures have a much broader differential diagnosis. For infants less than six months of age with a normal exam, hyponatremia is the leading cause of new onset non-febrile seizure. Most commonly, this is secondary to water intoxication from inappropriate feeding practices. This case report will review the initial workup of new onset non-febrile seizures in an infant and treatment recommendations for seizures secondary to hyponatremia.
The assessment of suicidal ideation and attitudes in battered women

Background a suicidal though aim was to exa Materials and assessments (in as: (a) socio(Spouse Abuse behaviors, and Results: In the (SSI) items ind 6-19 (mild to Suicidal ideatio with psycholog abuse frequenc suicidal ideatio relation with th Conclusion: T suicidal intent. every patient w Conflicts of int Funding: None Cite this arti Khodabandeh Prevent.2019(
The role of Campylobacter spp. in chronic enteropathy in dogs

The aim of the study was to identifyCampylobacterspecies in a group of patients with chronic gastrointestinal problems and to investigate the relationship between the presence ofCampylobacterspp. in stool samples and as well as the severity of chronic enteropathy. Twenty-six dogs with chronic gastrointestinal problems were included in the prospective study. Each research subject had their stomach, duodenum, ileum, and colon examined endoscopically. A histopathological examination of the obtained biopsy samples was then performed, excluding other potential diseases. Stool samples were collected and then examined for the presence ofCampylobacterspp. To evaluate the relationship betweenCampylobacterspp. occurrence and the intensity of chronic enteropathy, patients were divided into two groups; animals in the first group presented with no to mild inflammation whereas research subjects in the second group suffered from moderate to severe inflammation. Subsequently, the patients were divided based on positive or negative test results forCampylobacterspp. cultures. No significant relationship between the presence ofCampylobacterspp. in stool samples and chronic enteropathy was found. In contrast to other previously published papers, our study showed a lower occurrence ofCampylobacter upsaliensis.
Methodological and physical biases in global to sub-continental borehole temperature reconstructions: an assessment from a pseudo-proxy perspective

Abstract. Borehole-based reconstruction is a well-established technique to recover information of the past climate variability based on two main hypothesis: first, that past ground surface temperature (GST) histories can be recovered from borehole temperature profiles (BTPs); and second, that the past GST evolution is coupled to surface air temperature (SAT) changes and thus, past SAT changes can be recovered from BTPs. Compared to some of the last millennium (LM) proxy-based reconstructions, previous studies based on the borehole technique indicate a larger temperature increase during the last centuries. The nature of these differences has fostered the assessments of this reconstruction approach searching for potential causes of bias. Here, we expand previous works to explore potential methodological and physical bias using pseudo-proxy experiments with the Community Earth System Model-Last Millennium Ensemble (CESM-LME). A heat-conduction forward model driven by simulated surface temperature is used to generate synthetic BTPs that are then inverted using singular value decomposition. This procedure is applied to the set of simulations that incorporate all the LM external forcing factors as well as those that consider the concentration of the green house gases (GHG) and the land use land cover (LULC) changes forcings separately. The results indicate that methodological issues may impact the representation of the simulated GST at different spatial scales, with the temporal logging of the BTPs as the main sampling issue that may lead to an underestimation of the simulated GST 20th century trends. Our analysis also shows that in the surrogate reality of the CESM-LME the GST does not fully capture the SAT warming during the industrial period and thus, there may be a further underestimation of the past SAT changes due to physical processes. Globally, this effect is mainly influenced by the GHG forcing whereas regionally, LULC changes and other forcings factors also contribute. These findings suggest that despite the larger temperature increase suggested by the borehole estimations during the last centuries of the LM relative to some other proxy reconstructions, both the methodological and physical biases would result in a underestimation of the 20th century warming.
Measures of Satisfaction from the Implementation of Quality Standards in Higher Education Institutions of Saudi Arabia

Background: The purpose of this papers was investigate into the satisfaction from implementation of quality standards in higher education institutions of Saudi Arabia. Quality is the key factor in achieving accreditation. Researchers believe that implementation of quality standards is closely related with the satisfaction of the students and thus quality standards in higher education institutions indirectly plays a pivotal role to improve the outcomes of the universities. Method: Hermeneutics, discourse and heuristic were employed for data analysis with the help computer based qualitative package ATLAS.ti. Findings: The findings shows that there was a satisfaction about the implementing of quality standards in higher education of Saudi Arabia in the large universities, however, on the other hand, the also identified that findings the main reasons of dissatisfaction with implementation of quality standards in some small universities. Conclusion: The study concludes that implementation of quality standards is yet to be dome due to slow pace and they are just in papers and yet until now they have not been put into effect in reality. Key w ords: Quality Standards, Quality Assurance, Quality Implementation, Students Satisfaction, Higher Education Institutions (HEIs), Saudi Arabia. DOI : 10.7176/DCS/9-9-03 Publication date :September 30 th 2019
The Educational Dean: An Examination of Behaviors

EDRS PRICE MF01/PC01 Plus Postage. DESCRIPTORS *Administrator Role: Change Agents: CoLflict Resolution: *Curriculum Development: *Deans: Higher Education: Information Dissemination: *Leauership Styles: Mainstreaming: *Motivation Techniques: Persuasive Discourse: Policy Formation: Program Budgeting; Resource Allocation: *Schools of Education: Teacher Education Programs IDENTIFIERS *Deans Grant Project
Functions of Regulatory Bodies on Performance of County Governments in Kenya

The devolved system of governance was adopted to ensure development in all regions and effectiveness in service delivery for all Kenyans. This purpose of the study was to evaluate the functions of regulatory bodies on performance of county governments in Kenya.The study used a positivist research philosophy. The design methods used include the descriptive and explanatory cross-sectional survey method. The unit of analysis was the county governments. The counties in which data was collected helped in generalization of findings to all the Kenyan 47 counties. The unit of observation was county officials who included Governors, deputy Governors, County executive committee members, County secretaries, deputy County secretaries and MCAs.For this study, a sample of 354was arrived at. Simple random sampling method was adopted for the selection of the study participants. The study used a questionnaire for collection of primary data. Data analysis was done with the help of a statistical analysis program. Frequencies and descriptive statistics were obtained for the study’s variables and this information was presented in graphs and frequency tables. Both descriptive and inferential statistics were used. Inferential statistics included regression analysis that was used to test the significance between dependent and the independent variables.The study established that regulatory bodies had a significant influence on the performance of county governments in Kenya.The study also concluded that regulatory bodies positively and significantly influences performance of county governments in Kenya.The study recommends that there is a need for county governments to set effective regulations through the Public Procurement Regulatory Authority so as to regulate and shape the county’s procurement procedures. -------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 06-05-2019 Date of acceptance: 20-05-2019 -------------------------------------------------------------------------------------------------------------------------------------
The Effect of Transitive Closure on the Calibration of Logistic Regression for Entity Resolution

This paper describes a series of experiments in using logistic regression machine learning as a method for entity resolution. From these experiments the authors concluded that when a supervised ML algorithm is trained to classify a pair of entity references as linked or not linked pair, the evaluation of the model’s performance should take into account the transitive closure of its pairwise linking decisions, not just the pairwise classifications alone. Part of the problem is that the measures of precision and recall as calculated in data mining classification algorithms such as logistic regression is different from applying these measures to entity resolution (ER) results. As a classifier, logistic regression precision and recall measure the algorithm’s pairwise decision performance. When applied to ER, precision and recall measure how accurately the set of input references were partitioned into subsets (clusters) referencing the same entity. When applied to datasets containing more than two references, ER is a two-step process. Step One is to classify pairs of records as linked or not linked. Step Two applies transitive closure to these linked pairs to find the maximally connected subsets (clusters) of equivalent references. The precision and recall of the final ER result will generally be different from the precision and recall measures of the pairwise classifier used to power the ER process. The experiments described in the paper were performed using a well-tested set of synthetic customer data for which the correct linking is known. The best F-measure of precision and recall for the final ER result was obtained by substantially increasing the threshold of the logistic regression pairwise classifier.
NDT_A_210842 1845..1854

Lisha Dai Zan Xu Meng Yin Xiang Wang Yunlong Deng 1Clinical Psychology Department, The Third Xiangya Hospital, Central South University, Changsha, Hunan 410013, People’s Republic of China; 2Student Affairs Department, Central South University, Changsha, Hunan 410000, People’s Republic of China; 3Psychosomatic Health Institute, The Third Xiangya Hospital, Central South University, Changsha, Hunan 410013, People’s Republic of China Purpose: The cognitive behavioral model is considered the most comprehensive for explaining the pathogenesis of health anxiety (HA). The model proposes 4 dysfunctional beliefs that play a vital role in developing and sustaining HA: a) the likelihood of contracting or having an illness, b) awfulness of the illness, c) difficulty coping with illness, and d) inadequacy of medical services. The Health Cognitions Questionnaire (HCQ), widely used in English populations, was developed for assessing these core cognitions. As HA is a growing problem in China, we translated the HCQ into a Chinese version (CHCQ) and examined its psychometric properties. These core cognitions were compared among individuals with and without medical conditions. Methods: A set of questionnaires that included the CHCQ and the Short Health Anxiety Inventory (SHAI) was used to gather data from 1,319 Chinese college students. After 4 weeks, 145 of the students completed the CHCQ again. The validity, reliability, and measurement invariance were evaluated among individuals with various medical conditions. Results: The final CHCQ included 19 items. A 4-factor structure was well suited to the data. Good internal consistency (Cronbach’s α for total score was 0.849, subscales ranged from 0.753 to 0.841), test–retest reliability (the interclass correlation coefficient for total score was 0.762, subscales ranged from 0.626 to 0.683), and criterion validity of the CHCQ were demonstrated. Measurement and structural invariance were established. Individuals with a diagnosed disease scored higher on the likelihood-of-illness subscale (Cohen’s d =0.22, p < 0.01) than those without an illness. Conclusion: The CHCQ shows promise for the assessment of 4 core HA-related cognitions in the Chinese population.
Non-epileptic phenomena in hypoxic-ischemic encephalopathy

Hypoxic-ischemic encephalopathy (HIE) is a clinical syndrome typically described in newborns after a period of intrapartum or perinatal hypoxia-ischemia (HI) [1]. The acute neurological manifestations of HIE have been well described [1,2] and are characterized by clinical evidence of diffuse cerebral dysfunction; impaired brainstem function, autonomic dysregulation, various abnormalities in mental state, epileptic seizures, and, in addition to tone and other motor abnormalities, non-epileptic movements i.e. myoclonus and tremors. The severity of the phenotype is dependent on the degree of cerebral insult, extent of subsequent injury incurred; with some correlation with outcome [1–4]. Because of the wide variety and often changing signs and symptoms post HI, coupled with the numerous co-morbid metabolic and systemic problems and the frequent occurrence of seizures which can be very difficult to differentiate clinically, this article will concentrate solely on describing the hyperkinetic non-epileptic movement disorder observed following transient HI in the term newborn.
A Small Dual Band (28/38 GHz) Elliptical Antenna For 5G Applications With DGS

In this paper, a compact elliptical dual band microstrip antenna fed with a coplanar waveguide is presented. The proposed antenna is designed and analyzed using a 3-D full-wave electromagnetic software named, High Frequency Structure Simulator (HFSS) software based on finite element method (FEM). The design adopts a bi-layer substrate configuration where the elliptical radiating patch is printed on a Rogers RO3010 substrate of dimensions 2.265x2x0. 75mm 3 , with a dielectric constant of 10.2 and loss tangent of 0.0035 on which the radiating patch occupies a surface area of 0.754mm 2 . The antenna operates at 28GHz and 38GHz, two of the selected bands allocated to 5G by International Telecommunications Union. The simulation results show that the antenna achieves a minimum wide bandwidth of 4.14GHz and a constant gain of 6dB over the operation frequency range. As a miniaturized antenna, its electric characteristics(impedance, bandwidth, radiation efficiency and gain) along with the antenna’s size have been chosen as comparison parameters with those found in recent research works.In addition, previous electric parameters, together with the return loss and VSWR have been selected for the proposed Elliptical antenna that have been improved by inserting two F-shaped slots in the ground plane. These slots in the ground plane are well-known as defected ground structure (DGS) technique.
The Relationship Between the Level of Physical Activity and Daily Life Habits of Adolescents

This study was conducted to examine the effect of daily lifestyle habits on physical activity level in adolescents. The research was carried out in Konya province, Meram Vocational and Technical Anatolian high school. The mean age of the participants was 16.44±1.89, the mean height was 167.45±8.56 and the mean body weight was 58.95±13.43. The physical activity levels of the subjects were monitored 7 days a week with a pedometer. The questionnaire developed by the researchers to determine daily life habits was used. In this study, 12500 were “very good”. According to the findings of the study, the physical activity levels of the subjects were 9207.83 ± 4295.30. Physical activity levels of children who went to school by school bus were determined as 9023,25 ± 4122,33 and 9373,42±4452,18 of the subjects who went on foot. The results displayed no significant differences in their time spent on television and computer, dietary habits, how they go to school and intenseness of physical activities according to level of physical activity. As a result, in the adolescent age which development is the fastest, malnutrition and the excess of time spent on television and computer, negatively affect the level of physical activity. It can be said that the physical activity levels of adolescents who have made inactive life and malnutrition as a lifestyle are “somewhat active”.
Genetic risk factors for common and rare cardiac rhythm disorders

Sudden cardiac death (SCD) is defined by abrupt and unexpected death due to a cardiac cause, most often attributed to sustained ventricular arrhythmias. Knowledge about the molecular pathways involved in SCD is necessary in order to develop preventive strategies and novel therapies. Insight into these pathways may be gained by dissecting the genetic underpinnings of SCD. This thesis has accordingly focused on the identification of genes predisposing to SCD in the setting of the rare Mendelian arrhythmia disorders as well as to SCD in the setting of myocardial ischemia that underlies a significant part of SCD in the older segment of the general population.