Miracle-dz/UniFAR-FTUs huggingface dataset:
Knowledge Graph-Driven Conversational Agents

We present an approach to developing task-oriented conversational interfaces that addresses two key challenges that designers face: i) constructing a system grammar that strikes the right balance between the expressiveness necessary to carry out the task and the ability to correctly infer parses from natural language and ii) dealing with parse ambiguities. We address the latter of these with an approach to semantic parsing where the system constructs a semantic parse progressively, throughout the course of a multi-turn conversation in which the system’s prompts to the user derive from parse uncertainty. We construct the system grammar by leveraging the structured types and entities of an underlying knowledge graph (KG) complemented by a machine learning (ML) driven restructuring procedure. The rationale for inducing the grammar from KG types stems from our perspective that the aim of a conversation in our system is to identify a single instance of an a priori unknown type in the KG. ML models provide suggestions for adding additional structure to the KG (and thus a re-structuring of the grammar). We provide results of an empirical study into the value of our human-in-the-loop knowledge graph restructuring algorithm showing that meaningful structure can be recovered by applying machine learning to existing data from two case studies in the insurance domain.
HRI Team @ TRECVID 2016: Surveillance event detection

: Recent advances in object detection are driven by the success of deep neural networks, such as Faster R-CNN, SSD, etc. A system based on deep neural networks is designed for TRECVID 2016 Surveillance Events Detection. In this work, we utilize two neural networks: Region Proposal Network and Detection Neural Network. Region Proposal Network is trained end-to-end to generate high-quality region proposals, then Detection Neural Networks is used to determine whether the region proposals are target or not. Because surveillance events involve consecutive multi-frame, both of the two neural networks not only combine convolutional and recurrent neural networks, but also take multi-frame as input. Convolutional neural network extract the feature of frame, while recurrent neural network combine the feature of adjacent frames in video properly. In the training of two networks, in order to deal with the highly imbalanced nature of surveillance data, hard example mining algorithm is introduced, which make training more effective and efficient.
Application of the finite element P1 / P1 to the simulation of a MAG welding operation

This work shows the ability of the finite element P1/P1 to simulate a welding operation. In the first part, while the P1/P1 finite element is known to be not LBB-stable, the properties of this element and the conditions of its correct use are studied. A new simple and robust stabilized formulation that prevents parasites pressure modes is proposed in the second part. Finally, a simulation example of a circular MAG welding operation is presented.
Students ’ preferences in solving accounting problems : Framework-based approach vs prescriptive approach

The purpose of the study was to examine the impact of an assignment based on the Conceptual Framework for Financial Reporting (i.e. a framework-based assignment) on the preferred approach of students in solving future complex accounting problems. This study used an interpretive research design through a quasi-experiment to determine the impact of a framework-based assignment administered to undergraduate students at a South African university on their problem-solving approach. Student perceptions were analysed and were aided by a related reflective questionnaire. The results suggest that students’ preference for solving accounting problems effectively tends towards a mixed approach, i.e. using a combination of the Conceptual Framework and specific accounting guidance. However, when faced with complex accounting problems for which specific guidance does not exist, students would be confident in using the Conceptual Framework to formulate appropriate accounting solutions. The study indicates the necessity for Accounting educators to focus on conceptual teaching in accounting education and to enhance conceptual understanding among students as a mechanism for solving accounting issues. This paper distinctly contributes to accounting education literature by demonstrating the impact of a framework-based approach in Accounting courses on students’ preferred problem-solving methods. The study provides insight that exposure to framework-based assessments influences students to use a more balanced approach in practice. The study also provides a replicable research design in which other Accounting educators can implement a similar assignment-based teaching approach.
A genealogy of “ healthism ” : Healthy subjectivities between individual autonomy and disciplinary control

Healthism is a sociological concept that has circulated widely outside of academia, while is it rather neglected by social sciences. This article intends to propose its genealogy in order to revitalize this term and to propose it as an analytical framework able to grasp some of contemporary tendencies marked by the centrality of individuals. After an historical excursus of healthism, which began as a spin-off of the well-known term “medicalization”, the article proceeds by exploring the legacy of this notion for contemporary analysis of the expanding sector of illness prevention and prediction as well as health/wellness promotion and optimization. In particular, it focuses on the establishment of lifestyles and risk factors as the vector of medical devices, practices, and concepts in society. Instead of looking at these changes in spatial terms, as either an expansion or a shrinking of medical discourse, healthism provides an analytical framework attentive to the relationship with medical power, technologies and data inherent in emerging medical subjectivities.
Combination of traditional Chinese medicine and western medicine in the treatment of liver cancer

Traditional Chinese medicine(TCM) and western medicine have their own priorities in the cancer treatment and they focus on tumor eradication and tumor-host modulation,respectively.As a palliative treatment,TCM is a choice for the liver cancer patients who could not tolerate surgery or interventional therapies and aims to improve their life quality and prolong their life time.In the adjuvant context,TCM could help patients to recover after other therapies,to minimize disease recurrence,and to prolong patient's survival time.Our experimental studies revealed that a 5-herbal compound "Songyou Yin" could decrease tumor metastasis after chemotherapy or palliative resection and could prolong the life time of tumor-bearing mice by antiangiogenic and anti-invasive mechanisms.In clinical practice,we should pay attention not only to the usage of traditional Chinese drug but also to the theory of TCM.The establishment of the platform of combination of TCM and western medicine is also in need.
Chapter 1 DETECTING INTEGRITY ATTACKS ON INDUSTRIAL CONTROL SYSTEMS∗

Industrial control systems monitor and control critical infrastructure assets such as the electric power grid, oil and gas pipelines, transportation systems and water treatment and supply facilities. Attacks that impact the operations of these critical assets could have devastating consequences to society. The complexity and interconnectivity of industrial control systems have introduced vulnerabilities and attack surfaces that previously did not exist. The numerous communications paths and ingress and egress points, technological diversity and strict operating requirements provide myriad opportunities for a motivated adversary. This paper investigates the detection of integrity errors in industrial control systems by correlating state values from field devices. Specifically, it considers a formulation of the classic Byzantine Generals Problem in the context of industrial control systems. The results demonstrate that leveraging physical system properties allows the inference of system states to identify integrity compromises.
Novel Transport protocol for 5G Networks

In this paper we present novel transport protocol, designed to assure efficient data usage in future 5G mobile networks. Speeds up to 5Gbps are common in case of heavy mobile environment and high data rates up to 400Gbps are achieved in case of static or low speed terminal scenario. This unique algorithm is designed to prevent congestion collapses of the backhaul network traffic making this protocol superior when compared with common high speed transport protocols.
ArticleMulti-authority Revocable Access Control Method Based on CP-ABE in NDNZhijun Wu 1

For the future of the Internet, because information-centric network (ICN) have natural advantages in terms of content distribution, mobility, and security, it is regarded as a potential solution, or even the key, to solve many current problems. Named Data Network (NDN) is one of the research projects initiated by the United States for network architecture. NDN is a more popular project than ICN. The information cache in the NDN separates content from content publishers, but content security is threatened because of the lack of security controls. Therefore, a multi-authority revocable access control method based on CP-ABE needs to be proposed. This method constructs a proxy-assisted access control scheme, which can implement effective data access control in NDN networks, and the scheme has high security. Because of the partial decryption on the NDN node, the decryption burden of the consumer client in the solution is reduced, and effective user and attribute revocation is achieved, and forward security and backward security are ensured, and collusion attacks are prevented. Finally, through the other security and performance analysis of the scheme of this paper, it proves that the scheme is safe and efficient.
DYNAMIC PROCUREMENT UNDER UNCERTAINTY: OPTIMAL DESIGN AND IMPLICATIONS FOR RENEGOTIATION AND TENDER PROCEDURES1

We introduce risk aversion into the analysis of an optimal procurement contract for a basic service and an add-on whose costs are uncertain. Risk aversion has two impacts. First, the timing of payments for the basic service can be used to relax the incentive problem: An Income Effect which calls for lower output distortions of the basic service. Second, the firm must bear some risk associated with the add-on. This Risk Effect reduces the level of the add-on. The interaction between these effects have implications not only for contract renegotiation but also for the comparison between long-term and spot contracting.
F-FDG PET Imaging of the Liver

In 18 F-fluorodeoxyglucose ( 18 F-FDG) positron emission tomography/computed tomography (PET/CT), respiratory motion induces bias in image interpretations. This issue has been widely discussed at the thoracic level. However, although liver is also affected by physiological motion, it has not been well investigated yet. This study assessed the application of a custom gating method (referred to as the "CT-based gated PET”) to PET imaging of the liver and evaluated its benefits in terms of per-lesion sensitivity over ungated clinical PET images. 30 patients scheduled for hepatic surgery were referred to our department for PET/CT imaging. Each patient underwent both ungated and CT-based gated PET imaging protocols. The blinded image interpretations were combined with histological analysis and intra-operative ultrasound to compute each method’s per-lesion sensitivity and positive predictive value (PPV). 74 lesions were confirmed by pathology reports. When considering all the uptakes, ungated and CT-based gated PET sensitivities were 64% and 73%, with PPVs of 82% and 75%, respectively. Our CT-based gated PET method showed a higher lesion-based sensitivity than routine, ungated examination did, although it yielded a higher proportion of false positive descriptions. The gain in sensitivity was due to the detection of lesions of between 15 and 25mm in size in gated PET images. Hence, accurate respiratory motion compensation should be implemented in order to improve the diagnosis, staging and follow-up of liver cancer. Keywords-PET/CT; 18 F-fluorodeoxyglucose; Liver Cancer; Respiratory Motion
A Holistic Visual Place Recognition Approach Using Lightweight CNNs for Significant ViewPoint and Appearance Changes

This article presents a lightweight visual place recognition approach, capable of achieving high performance with low computational cost, and feasible for mobile robotics under significant viewpoint and appearance changes. Results on several benchmark datasets confirm an average boost of 13% in accuracy, and 12x average speedup relative to state-of-the-art methods.
On the Design of Branch Amplifiers in Outphasing Systems

The outphasing method is an efficiency enhancement technique used to improve the back-off efficiency of RF amplifiers transmitting variable envelope signals. This is achieved by translating the original amplitude modulation into the phase modulation of two constant envelope signals and reconstructing the original modulation at the output. Conventional design of outphasing amplifiers consists in optimising the output combining network, while identical saturated power amplifiers are employed for each branch. In this work different power amplifier modes of operation are being evaluated as upper and lower branch PAs for outphasing systems. Rather than designing a combiner to compensate for the reactive loading, by considering the intrinsic load modulation which each PA branch sees over the outphasing range, the phase shift introduced by the matching network of each PA branch can be tuned to obtain a significant performance improvement. Simulations and measurement confirm this, proving that PAs with a fundamental reactive loading and reactive second harmonic are more suitable for outphasing operation.
Effect of zinc treatment on growth and phytohormones accumulation in Triticum aestivum L. seedlings priming with abscisic acid

ISSN 1025-6415. Допов. Нац. акад. наук Укр. 2019. No 11: 93—99 Heavy metals (HM), as constituents of various chemical compounds, are essential natural components of the Earth’s crust. As essential microelements, they affect the plant growth, deve lopment, and metabolism. However, at levels exceeding a certain threshold, HMs act as pollutants and pose an environmental threat. Excessive concentrations of HMs inhibit the plant growth, biomass accumulation, adversely affect the photosynthetic activity, mineral nutrition, and water exchange. Zinc is one of the essential microelements necessary for the normal life of plants. Its effect is manifested in the growth promotion, initiation of flowers, formation of grains, and activation of reparative processes [1]. At high concentrations, zinc is toxic to plants. In wheat, its excess inhibited the shoot growth and reduced the rate of photosynthesis [2]. In our studies, exogenous ABA was shown to mitigate the negative effects of high zinc concentrations on the grain germination and the growth of winter wheat seedlings [3]. Plant growth and development is regulated by a complex hormonal system, the interaction between components of which is synergistic or antagonistic. Hormonal substances occur in plant
A Comparison of Posture and Sit‐to‐Stand Biomechanics of Pregnant Women in the Third Trimester With and Without a Maternity Support: A Pilot Study

Background and PurposeAs pregnancy progresses, various postural and biomechanical changes occur as a result of altered anthropometrics. A number of pelvic belts and maternity supports are available and marketed to pregnant women to improve posture and body biomechanics. However, the evidence regarding the efficacy of these maternity supports in improving posture or biomechanics has been anecdotal, with no published data being available. The purpose of this study was to examine the potential differences in standing spinal postures and sit-to-stand (STS) biomechanics in pregnant women with and without a maternity support. ParticipantsFive women in their third trimester of pregnancy were fitted with a maternity support for use during the study. Methods and MeasuresA pretest-posttest research design was used. Kinematic analysis was used to measure joint angles and movement time during the STS movement. A flexible ruler was used to measure standing spinal posture with and without the support in place. ResultsThe addition of the maternity support resulted in less hip flexion during the STS movement. While not statistically significant, lumbar lordosis measured while standing decreased when women wore the maternity support compared with without the support. Discussion and ConclusionResults of this pilot study suggest that pregnant women wearing a maternity support may experience changes in hip position during STS movements. In addition, their spinal curve postures may tend to change. However, it is unclear whether altering the biomechanics during the STS movement impacts movement effort or pain complaints.
“I Didn’t Know He Was Dying”: Missed Opportunities for Making End-of-Life Care Decisions for Older Family Members

Research is limited on end-of-life care decision-making for older adults with chronic conditions whose end-of-life trajectory is difficult to predict because of their complex and frail condition. Semistructured interviews were conducted with family members of 22 deceased older adults to explore their experiences with end-of-life decision-making with/for their loved ones. Participants did not identify a specific time they made an end-of-life care decision as they did not know the older adult was at the end of life, health care providers did not ask them to make a decision, or they had to make forced decisions, and subsequently they experienced regret about the end-of-life care their family member received. End-of-life care decisions were dependent on the awareness of approaching death by participants, their loved ones, and health care providers. Health care providers being aware of the possibility of approaching death and assisting family members to make decisions that would honor the older adult’s preference by explaining possible care options and what each care options would mean to them are key to providing quality end-of-life care for these individuals.
Validation of the BASR relaxation technique for the control of craving, anxiety and stress in an experimental nicotine withdrawal set

Anxiety, craving and stress are associated with a higher risk of recurrence and a success reduction of smoking cessation programs. Relaxation techniques are one of the resources that psychology can bring to bear on these programs. The Brief Automated Suggestive Relaxation technique (BASR) is presented. Its design carries with it the idea of creating a brief and self-applied procedure which allows one to obtain results from the outset with minimum effort by both patient and therapist. This technique is confirmed within the multi-component program for smoking cessation as a confrontation resource for symptoms of anxiety/craving/stress deriving from quit smoking and nicotine Withdrawal Syndrome, its possible effectiveness was studied. There were 45 participants and all were smokers (average age of 43.91, 55.6% women), randomly divided in two groups: BASR condition (15 minutes relaxation session) or control condition (15 minutes rest session). Two standardized tests were used for the evaluation, the Anxiety-State scale (STAI-S) and the Differential Stress Inventory of Adjectives for the Study of Moods (IDDA-EA). An analogical qualification Scale of Smoking Desire was also used. In agreement with findings, a positive effect and the efficacy of the technique employed for the control of craving, anxiety and stress in smokers was corroborated.
The fear of falling syndrome: Relationship to falls, physical performance, and activities of daily living in frail older persons

The relationship between fear of falling, past and future falls, physical performance, disability, and psychosocial factors in older men with impaired mobility was examined. This study shows that fear of falling is not limited to those with a history of falls, but rather is a prevalent syndrome among older persons with impaired mobility. Fear of falling is associated with diminished physical performance, increased disability, and greater depression, but is not necessarily predictive of future falls.
Second Life in Healthcare Education: Virtual Environment's Potential to Improve Patient Safety

Research has shown that a large portion of healthcare cost is due to medical errors. There are many factors that cause medical errors but one major factor is linked to healthcare professionals who are not adequately trained with the appropriate skills. Virtual environments and simulations are being used to help improve training in many different areas, including the healthcare profession. This paper explores the usage of Second Life in healthcare education and its ability to improve patient safety. The conclusion is that much progress and development still needs to be made before Second Life will make a significant impact on improved patient safety through healthcare education. There is a need to make the virtual environment more realistic to adequately train healthcare professionals. https://doi.org/10.34105/j.kmel. 2011.03. 003
Psychological Evaluation of Sensation Seeking and Anxiety State among Body Builders and Weight Lifters

The purpose of the present study was to compare the sensation seeking on Body Builders and Weight Lifters. The total hundred (5o body builders and 50 weight lifters) male All-India intervarsity players were selected for this study. The age of the subjects were ranged between 18 to 25 years. The data on sensation seeking and anxiety state of the subjects were obtained by using a questionnaire developed by Neary and Zuckerman (1976). The t test was used to determine the difference between the mean score of the body builders and weight lifters. Results revealed that there was a significant difference between body builders and weight lifters at 0.05 level of significance with 98 degree of freedom. Study showed that body builders have higher level of sensation seeking and anxiety state as compared to weight lifters.
Different doses of olfactory ensheathing cells transplantation in subarachnoid for repairment of spinal cord injury,an experimental study

Objective:To investigate the feasibility,safety and dose-effect relationship of olfactory ensheathing cell transplantation for spinal cord injury.Method:Rats with T10 spinal cord injury induced by modified Allen method were randomly divided into four groups and received immediate cell transplantation as followings:high-dose olfactory ensheathing cells(OECs) transplantation in subarachnoid(group A),medium-dose transplantation(group B),low-dose transplantation(group C),control group with DMEM/F12 transplantation(group D). The neurofunctional recovery was noted by combined behavioral scores(CBS);the axons regeneration and the survival of olfactory ensheathing cells at the different time-point recorded either.Results:The neurofunction of group A and B improved significantly compared with group C or D according to combined behavioral scores(CBS),whereas no difference was noted between group A and B,as well as same as between group C and D.It was found by histological observation that the number of nerve fibers of group A and group B was more than group C and D.Conclusion:The OEC transplantation in subarachnoid for acute spinal cord injury is reliable,and high dose shows good prognosis.