Miracle-dz/UniFAR-FTUs huggingface dataset:
Host-based Method and System for Detecting Anomalies in Network Traﬃc for a Robotic System

This study is devoted to the problem of detecting anomalous behavior of nodes of a robotic system based on network traﬃc analysis. This article addresses the issue of analyzing changes in the level of network traﬃc passing through a network node in order to detect denial of service attacks and a black hole attack. To solve this problem, the authors propose to use probabilistic and statistical methods, as well as methods of information theory. The robot wireless network model was developed to collect statistics.
THE LINK BETWEEN CULTURE AND AUDIT AND OTHER AUDIT-RELATED PRACTICES: AN EXPLORATORY STUDY OF VIETNAMESE EMPLOYEES AT BIG FOUR COMPANIES

This exploratory study examines differences in the work practices of the Vietnamese Big Four audit companies in order to probe the link between countries of education and countries of employment. It examines four groups of subjects: 1) Those that study and work in Vietnam; 2) Those that study in Vietnam but work abroad; 3) Those that study and work abroad; and 4) Those that study abroad but work in Vietnam. Implications for international business and human resource management are offered. THE LINK BETWEEN CULTURE AND AUDIT AND OTHER AUDIT-RELATED PRACTICES: AN EXPLORATORY STUDY OF VIETNAMESE EMPLOYEES AT BIG FOUR COMPANIES Nguyen Tan Minh Phuc
Collaborative Resource Development and Delivery Workshop Programme

The paper describes a technical strategy for implementing natural language processing applications in the cloud. Annotated corpora can be stored in the cloud and queried in normal web browsers via user interfaces implemented in the described framework. A key aim of the strategy is to exploit the free storage and processing that is available in the cloud, while avoiding lock-in to proprietary infrastructure. A half-million-word annotated corpus application is described as a working example of the strategy.
A CONTEMPORARY METHOD OF EMPLOYEES ASSESSMENT

Evaluation of human capital (by nature immeasurable) has become the greatest challenge in terms of the personal function. Although many evaluation methods have developed, none of them accurately measures the value of personality, behavioral, qualification or effectiveness criteria. The aim of this paper is to draw up a new method measuring employees qualitative traits in a simple, transparent and universal way. Basis the employees assessment method on cognitive psychology and applied mathematics opens up new possibilities in the field of human resource management in organizations.
Combined atomic force microscopy and optical tweezers (AFM/OT): a hybrid double-probe technique

The role of mechanical properties is essential to understand molecular, biological materials and nanostructures dynamics and interaction processes. Atomic force microscopy (AFM) is the most commonly used method of direct force evaluation, but due to its technical limitations this single probe technique is unable to detect forces with femtonewton resolution. In this paper, we present the development of a combined atomic force microscopy and optical tweezers (AFM/OT) instrument. The focused laser beam, on which optical tweezers is based, provides us with the ability to manipulate small dielectric objects and to use it as a high spatial and temporal resolution displacement and force sensor in the same AFM scanning zone. We demonstrate the possibility to improve the AFM force resolution and to build a hybrid double probe technique with high potential in nanomechanics, molecules manipulation and biological studies. AFM/OT equipment is fully described and characterized by studying the ability to trap dielectric objects and quantifying the detectable and applicable forces. The setting and sensitivity of the particle position detector has been shown. Finally, a comparison between different optical tweezers calibration methods is presented.
Multilingual short text categorization using convolutional neural network

One of the most meaningful use of online social media is to communicate quickly during emergency. In case of global emergency, the threat might cross countries borders, affect different cultures and languages. This article aims to explore Convolutional Neural Network (CNN) for multilingual short text categorization in English, Japanese and Portuguese to identify useful information in social media. A CNN is constructed for this special purpose. The experiment results show that CNN model performs better than SVM even in small dataset. And more interestingly, the cross languages test suggests that English, Japanese and Portuguese text can use the same model with few hyperparameters changes.
Early Enteral Feeding through Jejunostomy-Tube and Oral Route after Oesophagectomy

Therefore, malnutrition should be addressed perioperatively to improve outcomes, and nutritional support should be continued in the postoperative setting following oesophagectomy to maintain the best nutritional condition. The benefits on the postoperative outcomes of early enteral nutrition following major gastrointestinal surgical procedures, including oesophagectomy have been well documented [4, 5]. Therefore, early enteral feeding is currently widelyaccepted as a standard of care following major upper gastrointestinal surgery. Additionally; early enteral feeding via jejunostomy-tube has become the preferred nutritional support after oesophagectomy [6]. However, the related jejunostomy-tube complications may cause difficulties in maintaining continuous enteral feeding. Additionally, enteral feeding via jejunostomy-tube was associated with the logterm weight loss that occurred in 20-30% of patients [7, 8]. Recently, the published reports on ERAS program implemented in colorectal and gastric surgery have clearly shown the safety and benefits of early oral feeding on postoperative outcomes including functional and nutritional outcomes, and survival. However, reticence of the surgical community still exists about initiating early oral feeding following oesophagectomy; so, this brief review aims to provide an overview in the light of the recently published reports on the early enteral feeding provided through jejunostomy-tube and oral route after oesophagectomy.
CREUTZFELDT-JAKOB DISEASE ---A BRAIN WASTING DISEASE (CJD-A BRAIN WASTING DISEASE)

This review provides the rationale and background for the development of diagnostic criteria for Creutzfeldt-Jakob Disease(CJD), which is recent outbreak including risk factors and neuropathological findings in human, epidemiology, and clinical characteristics, along with treatment, and future research directions. Overall, there is substantial research to suggest that the dementia that may co-occur with this CJD different from dementia of other neurodegenerative disorders. Future prospectives for further research necessities to better define core symptoms, mode of transmission, efficacy of treatment in human are highlighted.
"Hi! I am the Crowd Tasker" Crowdsourcing through Digital Voice Assistants

Inspired by the increasing prevalence of digital voice assistants, we demonstrate the feasibility of using voice interfaces to deploy and complete crowd tasks. We have developed Crowd Tasker, a novel system that delivers crowd tasks through a digital voice assistant. In a lab study, we validate our proof-of-concept and show that crowd task performance through a voice assistant is comparable to that of a web interface for voice-compatible and voice-based crowd tasks for native English speakers. We also report on a field study where participants used our system in their homes. We find that crowdsourcing through voice can provide greater flexibility to crowd workers by allowing them to work in brief sessions, enabling multi-tasking, and reducing the time and effort required to initiate tasks. We conclude by proposing a set of design guidelines for the creation of crowd tasks for voice and the development of future voice-based crowdsourcing systems.
AN ANALYTIC HIERARCHY PROCESS BASED RELIABILITY ALLOCATION METHOD (ARAM)

A new method (ARAM) is proposed and evaluated for launch vehicle subsystems reliability allocation. A multiple weighted criterions method called Analytic Hierarchy Process (AHP) is enabled to assess the reliability allocation of a launch vehicle subsystems based on technology, cost, complexity and operation time. These criterions are selected to decide about the optimum reliability of each individual subsystem to achieve reliability goal of the launch vehicle. This is a logical approach because system reliability is product of the subsystem reliabilities, so if they are optimized and compatible with respect to the mentioned criterions, the system reliability will also be optimized and compatible. Thus, it represents an efficient solution method that relies on evaluation of compatibility matrix. This AHP based approach is used for launch vehicle subsystems reliability allocation and results show the efficiency and capability of this method.
ALTERNATING CIRCUITS OF LOW DEPTH

In 1949 Shannon proposed the size of Boolean circuits as a measure of computation difficulty of a function. Circuits are closely related in computational power to Turing machines, and thus they provide a nice framework for understanding the time complexity. On the other hand their especially simple definition makes them amenable to various combinatorial, algebraic, and analytic methods. A burst of activity in circuit complexity exploded about 30 years ago with first exponential lower bounds for some circuit models, like bounded depth circuits, monotone circuits, restricted branching programs, etc. There has been quick progress made for about two decades, but soon various barriers are discovered. A Boolean circuit is a directed acyclic graph. The vertices of indegree 0 are called inputs, and are labeled with a variable xi or with a constant 0 or 1. The vertices of indegree k > 0 are called gates and are labeled with a Boolean function on k inputs. The indegree of a vertex is called its fanin and its outdegree is called its fanout. The most standard circuits are restricted to have gates ∧, ∨, ¬. One of the nodes is designated the output node, and then the circuit represents a Boolean function in a natural way. The size of a circuit is its number of gates. A simple counting argument establishes the following strong lower-bound. Roughly speaking, there are too many Boolean functions f : {0, 1}n → {0, 1} (there are 22n of those functions) compared to the number of small circuits.
Increased Expression of Nitric Oxide Synthase Coincides with Reversal of Renovascular Hypertension

The present study was aimed at investigating whether there are changes in the expression of nitric oxide synthase (NOS) in relation with the unclipping-induced fall of blood pressure in two-kidney, one clip (2K1C) hypertension. Male Sprague-Dawley rats were made 2K1C hypertensive by clipping the left renal artery for four weeks. Sham-clipped rats served as control. The expression of endothelial constitutive (ec) NOS proteins and tissue levels of NO metabolites were determined in the kidney. Systolic blood pressure was significantly increased in clipped rats compared with that in the control. The development of hypertension was associated with decreases in the expression of ecNOS proteins and tissue levels of NO metabolites in the clipped kidney. The blood pressure at twenty-four hours after removal of the renal arterial clip fell to the control level. Accordingly, in the unclipped kidney, the expression of ecNOS proteins and tissue contents of NO metabolites were increased to the control level. The contralateral kidney was not affected by the development or reversal of hypertension. It is suggested that an enhanced expression of ecNOS in the unclipped kidney is an important component in the reversal of renovascular hypertension.
Towards Unsupervised Data Quality Validation on Dynamic Data

Validating the quality of data is crucial for establishing the trust-worthiness of data pipelines. State-of-the-art solutions for data validation and error detection require explicit domain expertise (e.g., in the form of rules or patterns) [1] or manually labeled examples [7]. In real-world applications, domain knowledge is often incomplete, data changes over time, which limits the applicability of existing solutions. We propose an unsupervised approach for detecting data quality degradation early and automatically. We will present the approach, its key assumptions
HashToMap: a tool for tweets analysis

— The current view of the big data have been enormously changed because of the management of big quantities of data and an efﬁcient analysis of them is a difﬁcult assignment. For these reasons our project, using distributed computing techniques such as MapReduce and MPI, allow to analyze social networks contents, searching inside keywords (hashtag) summarizing and highlighting, in a geographic map, places where these keywords are most used. This tool is oriented to the analysis of social networking content to predict and intuitively understand mobility phenomena, natural disasters, social events, social trends and opinions, thanks to a geographic representation of such contents.
Investigating Clustering Algorithms in Microsensor Networks

 Abstract — The design of a microsensor network has to be carried out under several constraints, e.g., limited energy source and dynamic network topology. One practical design scheme in WSNs is clustering. Clustering is an energy efficient and scalable way to organize the WSN. Clustering can stabilize the network topology at the level of sensors and thus cuts on topology maintenance overhead. Recently, a number of clustering algorithms have been specifically designed for WSNs. These proposed clustering techniques widely vary depending on the overall network architectural and operation model and their objectives. In this paper, classification of clustering algorithms is carried out i.e. as energy efficient type, duty cycle control type and third type is the one derived from classic graphic theory. In this paper focus is on the energy efficient type of clustering protocols. Furthermore, classification and analysis of energy efficient protocols viz. LEACH and PEGASIS is presented. Also a hybrid approach Hierarchical Chain-cluster scheme is introduced and the performance of all the three protocols is evaluated and comparison of them is done with the conventional Direct Transmission scheme.
USING ANP APPROACH FOR NETWORK REVENUE MANAGEMENT PROBLEMS

Revenue management (RM) is the process of understanding, anticipating and influencing consumer behavior in order to maximize revenue. The challenge is to sell the right resources to the right customer at the right time for the right price through the right channel. Network revenue management models attempt to maximize revenue when customers buy bundles of multiple resources. An Analytic Network Process (ANP)-based framework for RM problems structuring and combining specific methods is presented. RM addresses three basic categories of demand-management decisions: price, quantity, and structural decisions. Specific models are used to model and to solve basic RM decisions. Combinations of the solutions are given by sub-networks in an ANP model
The Impact of Geographic Scale on Identifying Different Social Media Behavior Extremes in Crisis Research

Our relationship with technology is constantly evolving, and that relationship is adapting even more quickly when faced with disaster. Understanding how to utilize human interactions with technology and the limitations of those interactions will be a crucial building block to contextualizing crisis data. The impact of scale on behavioral change analyses is an unexplored yet necessary facet of our ability to identify relative severities of crisis situations, magnitudes of localized crises, and total durations of disaster impacts. In order to analyze the impact of increasing scale on the identification of extreme behaviors, we aggregated Twitter data from Houston, Texas circa Hurricane Harvey across a wide range of scales. We found inversely related power law relationships between the identification of sharp Twitter activity bursts and sharp activity drop-offs. The relationships between these variables indicate the direct, definable dependence of social media aggregation analyses on the scale at which they are performed.
Relationship Between the Level of Pain and Quality of Sleep in Women After a Cesarean-section

Cite this article as: Aktaş D, İskender Ö, Topaloğlu MG. Relationship Between the Level of Pain and Quality of Sleep in Women After a Cesarean-section. Bezmialem Science 2020;8(1):62-7. Address for Correspondence: Demet AKTAŞ, Çankırı Karatekin University Faculty of Health Science, Department of Midwifery, Çankırı, Turkey E-mail: daktas7706@gmail.com ORCID ID: orcid.org/0000-0003-1206-4004 Amaç: Bu çalışma, sezaryen sonrası hastanede yatan kadınların ağrı düzeyinin uyku kalitesine etkisini incelemek amacıyla kesitsel tipte dizayn edilmiştir.
Validität der Empfehlungen zur Sekundärprävention von Dickdarmkrebs

Zusammenfassung Hintergrund: Präventionsprogramme sollten nur empfohlen werden, wenn sie leisten, was sie zu leisten versprechen. Deshalb haben wir die Variation und Validität der Empfehlungen zum Darmkrebs-Screening von 9 Organisationen geprüft. Methoden: Angaben zum Screening-Alter, chemischen Stuhltest (gFOBT), immunologischen Stuhltest (FIT), DNA-Stuhltest, Sigmoidoskopie, Koloskopie, Doppelkontrastuntersuchung/Barium-Doppelkontrasteinlauf und zur virtuellen Koloskopie/CT-Kolonografie wurden in 3 Schritten analysiert. 1) Erfassung aller Referenzen, die von den 9 Organisationen ausgewählt wurden, 2) Zuordnung der Referenzen zur Mortalität, Inzidenz und Sensitivität/Spezifität und 3) Bewertung der Validität bei Mortalitätsstudien. Ergebnisse: Der Nachweis von okkultem Blut wird als einzige Screening-Methode von allen 9 Organisationen empfohlen. Die Koloskopie wird von 7 Organisationen empfohlen. Von 33 Referenzen zur Begründung des Screenings hatten 15 andere Endpunkte als die Mortalität. Eine Publikation war eine Metaanalyse. Elf von 17 Veröffentlichungen untersuchten den chemischen Stuhltest, 3 die Sigmoidoskopie und je eine Studie den immunologischen Stuhltest, die Koloskopie oder generell die Diagnostik des Darmes. Durchschnittlich wurden in allen Studien 2 von 9 Validitätskriterien vollständig, 5 teilweise und 2 nicht erfüllt. In 2 Veröffentlichungen war keines der Validitätskriterien vollständig erfüllt. Schlussfolgerungen: Die Analyse der Empfehlungen zum Darmkrebs-Screening zeigte, dass 9 Organisationen unterschiedliche Ziele verfolgen und unterschiedliche Empfehlungen aussprechen. Die gewissenhafte und aufwendige Prüfung der wissenschaftlichen Studien zur Mortalität, die diesen Empfehlungen zugrunde liegen, weisen erhebliche Mängel auf und können damit die internationalen Empfehlungen zum Darmkrebs-Screening nicht hinreichend begründen. Sinnvoll wäre, über die zu erhebenden Daten einen Konsensus herbeizuführen, mit welchem eine belastbare Basis für Versorgungsentscheidungen generiert werden kann.
Economic valuation of Nile Tilapia (Oreochromis niloticus) in Lake Hawassa, Southern Ethiopia

The purpose of this study is to investigate the economic value of fish (Nile Tilapia) in Lake Hawassa and determine the factors affecting the households’ willingness to pay for a quality improved fish product. The survey was conducted through face-to-face interview of 467 households consuming fish caught from the lake. The respondents were aware on the poor quality of the fish due to domestic and industrial effluents discharged into the lake. The consumers stated their preferences on quality improved fish product with the mean value of Birr 57.76 per kilogram, which was equivalent to USD3.20 per kilogram during the survey period. The analysis on the determinants of willingness to participate in the fish quality improvement program shows that education, annual income, frequency of fish consumption, marital status and multiple use of the lake influence the participation on the quality improvement program positively while family-size, residential-land and employee negatively influence the participation on the quality improvement program. The valuation of quality improved fish product shows that households who are aware of the poor quality of the lake, residential-land owners and those who earn high annual income are more likely to attach higher monetary value for the quality improved fish product. Therefore, identification of such variables and their relative importance in the valuation helps to obtain households who are willing to pay maximum level for the fish quality improvement. Key words: Contingent valuation, fish, Heckman model, Lake Hawassa, willingness to pay.
Lecture 2 : Brief Review on Probability Theory 1 Terminology

The sample space, usually denoted S, is the set of all possible outcomes of a random study/experiment [2]. Any subset of the sample space is known as an event, usually denoted with capital letters A,B,C, · · · , [2, 3]. For example, A ⊂ S, where “⊂” denotes “is a subset of”. Since events and sample spaces are just sets, the following is the algebra of sets [3]: • ∅ is the null set, or empty set. • A ∪B = union = the elements in A or B or both. • C ∩ D = intersection = the elements in C and D. If C ∩ D = ∅, then C and D are called mutually exclusive events, or disjoint events. • A′ = A = complement = the elements not in A. • If E ∪ F ∪G ∪ · · · = S, then E, F , G, and so on are called exhaustive events.
Running head: SOCIAL FUNCTIONING IN ANHEDONICS: A DAILY DIARY STUDY 1 Social Functioning in Anhedonics: A Daily Diary Study Corey Wernette University of North Carolina at Greensboro SOCIAL FUNCTIONING IN ANHEDONICS: A DAILY DIARY STUDY

Anhedonia is a symptom of both schizophrenia and depression and is a term to describe the loss of pleasure in once enjoyable activities, such as social interaction or playing a sport. In this study we examined how social anhedonia relates not only to in person communication, but also phone call communication, text messaging communication, and internet communication. The landscape of long-distance communication is evolving fast, the use of smart-phones, the internet, and now virtual reality are more and more being utilized to stay in contact with others and the research needs to reflect these changes in social dynamics. In order to understand how social anhedonia is related to these newer modes of communication we investigated how our undergraduate sample communicated day to day using a daily diary approach. Over a two week period we found that social anhedonia has a significantly negative correlation with the number of phone call communications and the number of text messaging communication a person has in addition to the number of in person communications, but not with the number of internet communications. Future research would benefit from creating better measures of internet communication. While the current study was restricted to archival data, being able to gauge how often and how enjoyable these internet conversations are will reveal many new ideas on solitude in anhedonia and will hold greater implications for how depression is treated in the 21st century and beyond.
Controlling Self-Organising Behaviours in Robotics. An Evolutionary Computation Approach

Evolutionary computation is an umbrella expression used to refer to a family of algorithms inspired from the Darwinian theory of natural evolution. Techniques such as genetic algorithms, genetic programming, evolutionary strategies, particle swarm optimisation, etc. apply principles similar to those governing biological organisms (i.e., selection and reproduction) to solve computing problems, mainly optimisation and modelling. This research aims to use evolutionary computation in its latter capacity, that of building models of systems and their behaviour.