Miracle-dz/UniFAR-FTUs huggingface dataset:
Control of Linear Quantum Stochastic Systems

The purpose of this paper is to formulate and solve a H? controller synthesis problem for a class of non-commutative linear stochastic systems which includes many examples of interest in quantum technology. A quantum version of standard (classical) dissipativity results are presented and from this a quantum version of the Strict Bounded Real Lemma is derived. This enables a quantum version of the two Riccati solution to the H? control problem to be presented. This result leads to controllers which may be realized using purely quantum, purely classical or a mixture of quantum and classical elements.
remor analysis by decomposition of acceleration into gravity and inertial cceleration using inertial measurement unit

Decomposition of acceleration was investigated as an alternative to commonly used direct spectral analysis of measured acceleration or angular velocity for tremor quantification. An orientation estimation algorithm was devised to decompose the measured acceleration into the gravitational artifact and the inertial acceleration caused by sensor movement in an inertial reference frame. Resulting signals, beside the measured acceleration and angular velocity, were used to assess tremor amplitude and frequency
Contemporary Aspects of Marketing in Clinical Trials Including Segments of IT and Technology Transfer

Introduction: The aim of this paper is to present the marketing strategy and the application of management (marketing management) and advertising in order to increase the efficiency of innovative approach in clinical trials that include and involve the use of new technologies and transfer of technologies. Material and Methods: This paper has a descriptive character and represents a narrative review of the literature and new model implementation. Results: Marketing models are primarily used to improve the inclusion of a larger (and appropriate) number of patients, but they can be credited for the stay and monitoring of patients in the trial. Regulatory mechanisms play an important role in the application of various marketing strategies within clinical trials. The value for the patient as the most important stakeholder is defined in the field of clinical trials according to Kotler’s value model for the consumer. Conclusion: In order to achieve the best results it is important to adequately examine all the elements of clinical trials and apply this knowledge in creation of a marketing plan that will be made in accordance with the legal regulations defined globally and locally. In this paper, two challenges have been highlighted for the adequate application of marketing tools in the field of clinical trials, namely: defining business elements in order to provide an adequate marketing approach for clinical trials and technology transfer and ensuring uniformity and regulatory affirmation of marketing attitudes in clinical trials in all regions in which they are carried out in accordance with ICH-GCP and valid regulations.
Hypoxic ventilatory response in successful extreme altitude climbers

A very high ventilatory response to hypoxia is believed necessary to reach extreme altitude without oxygen. Alternatively, the excessive ventilation could be counterproductive by exhausting the ventilatory reserve early on. To test these alternatives, 11 elite climbers (2004 Everest-K2 Italian Expedition) were evaluated as follows: 1) at sea level, and 2) at 5,200 m, after 15 days of acclimatisation at altitude. Resting oxygen saturation, minute ventilation, breathing rate, hypoxic ventilatory response, maximal voluntary ventilation, ventilatory reserve (at oxygen saturation = 70%) and two indices of ventilatory efficiency were measured. Everest and K2 summits were reached 29 and 61 days, respectively, after the last measurement. Five climbers summited without oxygen, the other six did not, or succeeded with oxygen (two climbers). At sea level, all data were similar. At 5,200 m, the five summiters without oxygen showed lower resting minute ventilation, breathing rate and ventilatory response to hypoxia, and higher ventilatory reserve and ventilatory efficiency, compared to the other climbers. Thus, the more successful climbers had smaller responses to hypoxia during acclimatisation to 5,200 m, but, as a result, had greater available reserve for the summit. A less sensitive hypoxic response and a greater ventilatory efficiency might increase ventilatory reserve and allow sustainable ventilation in the extreme hypoxia at the summit.
Antimicrobial Peptides: Versatile Biological Properties

Antimicrobial peptides are diverse group of biologically active molecules with multidimensional properties. In recent past, a wide variety of AMPs with diverse structures have been reported from different sources such as plants, animals, mammals, and microorganisms. The presence of unusual amino acids and structural motifs in AMPs confers unique structural properties to the peptide that attribute for their specific mode of action. The ability of these active AMPs to act as multifunctional effector molecules such as signalling molecule, immune modulators, mitogen, antitumor, and contraceptive agent makes it an interesting candidate to study every aspect of their structural and biological properties for prophylactic and therapeutic applications. In addition, easy cloning and recombinant expression of AMPs in heterologous plant host systems provided a pipeline for production of disease resistant transgenic plants. Besides these properties, AMPs were also used as drug delivery vectors to deliver cell impermeable drugs to cell interior. The present review focuses on the diversity and broad spectrum antimicrobial activity of AMPs along with its multidimensional properties that could be exploited for the application of these bioactive peptides as a potential and promising drug candidate in pharmaceutical industries.
Gastroscopic Image Retrieval Based on PCA

Herein we describe a system for gastroscopic image retrieval which based on PCA algorithm. First quantize and cluster in HSV color space, make use of spatial partitioning-weighted method to calculate each block’s main color, and then combine with color correlogram to carry out integrate retrieval. A PCA algorithm is adopted to reduce the dimension since the dimension of feature vector which including color and spatial information is high. A prototype system which supports query by example is designed and implemented. The experimental results according to the prototype show that the approach proposed in the paper is effective to gastroscopic images.
A contribution of novel CNVs to schizophrenia from a genome-wide study of 41,321 subjects: CNV Analysis Group and the Schizophrenia Working Group of the Psychiatric Genomics Consortium

Genomic copy number variants (CNVs) have been strongly implicated in the etiology of schizophrenia (SCZ). However, apart from a small number of risk variants, elucidation of the CNV contribution to risk has been difficult due to the rarity of risk alleles, all occurring in less than 1% of cases. We sought to address this obstacle through a collaborative effort in which we applied a centralized analysis pipeline to a SCZ cohort of 21,094 cases and 20,227 controls. We observed a global enrichment of CNV burden in cases (OR=1.11, P=5.7e−15), which persisted after excluding loci implicated in previous studies (OR=1.07, P=1.7e−6). CNV burden is also enriched for genes associated with synaptic function (OR = 1.68, P = 2.8e−11) and neurobehavioral phenotypes in mouse (OR = 1.18, P=7.3e−5). We identified genome-wide significant support for eight loci, including 1q21.1, 2p16.3 (NRXN1), 3q29, 7q11.2, 15q13.3, distal 16p11.2, proximal 16p11.2 and 22q11.2. We find support at a suggestive level for nine additional candidate susceptibility and protective loci, which consist predominantly of CNVs mediated by non-allelic homologous recombination (NAHR).
Towards a Computational Formalism for a Grounding Model of Cultural Transmission

Computational models of the transmission of cultural information usually neglect that cultural transmission between individuals occurs mainly as a consequence of complex social interactions. We analyze the requirements for a computational model of a social psychological theory of cultural transmission, a theory which postulates that actors in a joint activity build on their common ground to align their information to a degree sufficient for them to carry out their activity. This grounding process adds to their common ground and thus contributes to a diffusion of cultural information. The proposed tentative formal account exploits the Shared Plan model of joint activities and uses an argumentation-based dialogue as the representation of the grounding process. This work advances the social-psychological study of cultural dynamics and the exploration of computational methods for the modeling of social systems.
Outpatient Dialectical Behavior Therapy at a Community Mental Health Center: Outcome Study

Dialectical Behavior Therapy (DBT) is an empirically supported treatment for Borderline Personality Disorder (BPD). Despite its established efficacy in clinical trials, additional “real world” applied research is needed. The present study evaluated the treatment effectiveness of an outpatient DBT program for clients diagnosed with BPD at a New Hampshire community mental health center (NHCMC). A quasi-experimental, single group time-series design was used to assess the effectiveness of services for clients diagnosed with BPD who participated in the DBT program at NHCMC. Records of adults who received outpatient DBT treatment for a minimum of one year were assessed for a change from pre-test to follow-up on the following target outcomes: (a) number of suicide attempts, (b) incidents of self-injurious behavior, (c) substance abuse, (d) psychiatric admissions and length of stay, (e) other hospital admissions and length of stay, and (f) emergency services contacts, including emergency room visits. Participants were also assessed for a change from pre-test to follow-up on indicators of quality of life and overall level of functioning. Using a time-series method, data from individual records were gathered for each client at the following time points: (a) one year, six months, and three months prior to beginning standard DBT, (b) early treatment (start of treatment), (c) six months after the start of treatment, (d) termination from treatment (at least one year), (e) three months and six months to one year following termination. An analysis of the results revealed statistically significant decreases in life-threatening behavior. Several other trends toward client improvement were also identified.
The optical polarisation of the Vela pulsar revisited

Aims. In this work we present a revised measurement of the phase-averaged optical polarisation of the Vela pulsar (PSR B0833-45), for which only one value has been published so far (Wagner & Seifert 2000, ASP Conf. Ser., 202, 315). Methods. Our measurement has been obtained through an accurate reanalysis of archival polarisation observations with the FORS1 instrument at the VLT. Results. We measured a phase-averaged linear polarisation degree P L = 9.4% ± 4% and a position angle θ = 146° ±11°, very close to the ones for the axis of symmetry of the X-ray arcs and jets detected by Chandra and of the pulsar proper motion. Conclusions. We compared the measured phase-averaged optical polarisation with the expectations of different pulsars' magnetosphere models. We find that all models consistently predict values of the phase-averaged linear polarisation that are too high with respect to the observed one. This is probably a consequence of present models' limitations that neglect the contributions of various depolarisation effects. Interestingly, for the outer gap model we find that, when assuming synchrotron radiation for the optical emission, the observed polarisation position angle also implies an alignment between the pulsar rotational axis and the axis of symmetry of the X-ray arcs and jets.
On-Demand Link Padding in Traffic Anonymizing

We consider the problem of using artificially generated cover traffic to hide the network paths used by an application against an adversarial observer who can monitor network traffic and perform traffic analysis. We propose that on-demand link padding be used on top of existing traffic anonymizing infrastructures such as those described in the Onion Routing Project or in the ANON Project. In on-demand link padding, cover traffic is generated dynamically only when real traffic is present. Moreover, the bandwidth usage is economical because we only generate a small amount of cover traffic above real traffic. We describe two types of on-demand link padding schemes and evaluate their performance by simulation. We report our findings based on the simulation results and quantify potential trade-offs in configuring a couple of important parameters. Finally, we provide a strategy for mitigating the potential problem in face of lost or corrupted control packets, to which the traditional recovery solutions based on packet retransmission are inappropriate for performance considerations.
Joining User Clustering and Item Based Collaborative Filtering in Personalized Recommendation Services

Personalized recommender systems consist services that produce recommendations and are widely used in the electronic commerce. Many recommendation systems employ the collaborative filtering technology. With the gradual increase of customers and products in electronic commerce systems, the time consuming nearest neighbor collaborative filtering search of the target customer in the total customer space resulted in the failure of ensuring the real time requirement of recommender system. To solve the scalability problem in the collaborative filtering, this paper proposed a personalized recommendation approach joins the user clustering technology and item based collaborative filtering. Users are clustered based on users’ ratings on items, and each cluster has a cluster center. Based on the similarity between target user and cluster centers, the nearest neighbors of target user can be found and pre-produce the prediction where necessary. Then, the proposed approach utilizes the item based collaborative filtering to produce the recommendations. The recommendation joining user clustering and item based collaborative filtering is more scalable than the traditional one.
Seven Principles to Design for Embodied Sensemaking

The TEI-community is based a various paradigms. We believe that the community matures by scrutinising these different paradigms and unravelling the consequences for designing for tangible, embedded and embodied interaction. In this paper we explore the consequences and possibilities of phenomenology-inspired embodied theory, and more specifically the concept of embodied sensemaking, i.e. human sensemaking using sensorimotor couplings to support social coordination between people. Based on our theoretical setting, we introduce seven design principles for developing face-to-face embodied sensemaking technology. We show in this paper how we used these principles to develop a mobile design and sensemaking studio for the encounter between two persons to sketch a future at the cross-section of their disciplines. By explaining these principles, we aim to show what embodied theory can bring the TEI-community, and invite others to do the same.
Estimates and projections of value of life lost from cancer deaths in the United States.

BACKGROUND Value-of-life methods are increasingly used in policy analyses of the economic burden of disease. The purpose of this study was to estimate and project the value of life lost from cancer deaths in the United States. METHODS We estimated and projected US age-specific mortality rates for all cancers and for 16 types of cancer in men and 18 cancers in women in the years 2000-2020 and applied them to US population projections to estimate the number of deaths in each year. Cohort life tables were used to calculate the remaining life expectancy in the absence of cancer deaths-the person-years of life lost (PYLL). We used a willingness-to-pay approach in which the value of life lost due to cancer death was calculated by multiplying PYLL by an estimate of the value of 1 year of life ($150,000). We performed sensitivity analyses for female breast, colorectal, lung, and prostate cancers using varying assumptions about future cancer mortality rates through the year 2020. RESULTS The value of life lost from all cancer deaths in the year 2000 was $960.6 billion; lung cancer alone represented more than 25% of this value. Projections for the year 2020 with current cancer mortality rates showed a 53% increase in the total value of life lost ($1472.5 billion). Projected annual decreases of cancer mortality rates of 2% reduced the expected value of life lost in the year 2020 from $121.0 billion to $80.7 billion for breast cancer, $140.1 billion to $93.5 billion for colorectal cancer, from $433.4 billion to $289.4 billion for lung cancer, and from $58.4 billion to $39.0 billion for prostate cancer. CONCLUSIONS Estimated value of life lost due to cancer deaths in the United States is substantial and expected to increase dramatically, even if mortality rates remain constant, because of expected population changes. These estimates and projections may help target investments in cancer control strategies to tumor sites that are likely to result in the greatest burden of disease and to interventions that are the most cost-effective.
Distributed Algorithm for Power Aware Connected Dominating Set for EfCcient Routing in Mobile Ad Hoc Networks

Efficient routing in ad hoc mobile environment with an economic use of battery power is an important problem and conventional routing protocols are unsuitable there due to static choice of routing paths without consideration of remaining battery power of the nodes. In this paper, we propose a simple and efficient distributed algorithm for calculating power aware connected dominating set for Ad hoc wireless networks. To enhance the lifetime of each node, which will in turn enhance the lifetime of the network, energy consumption here is balanced among different nodes of the network. Nodes are alternated in being selected to become a member of connected dominating set, which would enhance the lifetime of the network. In our approach each node select another node as its dominating neighbor depending on the status vector of its neighbor set. The status of a node is calculated based on its node degree and remaining battery power. The algorithm has 0(Δ2) time complexity and O(m) message complexity, where Δ is the maximum node degree and m is the number of edges in the topology graph. The dominating sets we obtain are in general comparable in size to that obtained in [1]. We ensured mobility support in our algorithm and our simulation result shows that, under the condition of mobility better lifespan is obtained using our approach as compared to other power aware approach.
Prevalence of Allergic Diseases among Korean School-age Children: A Nationwide Cross-Sectional Questionnaire Study

The purpose of this study was to investigate the nationwide prevalence of childhood asthma, eczema and other allergic diseases in Korean school-age children (8-11 yr old) and to assess the difference between residential areas. Among 6,279 elementary schools, 427 schools were randomly selected according to residential area (metropolitan, provincial, rural, and industrial area) by the cluster sampling method. Parents of students completed a modified Korean version of a questionnaire formulated by the International Study of Asthma and Allergies in Childhood (ISAAC). Among 50,200 subjects, 31,026 (61.8%) responded, and 30,893 (99.6%) were analyzed. The 12-month prevalence of wheeze, flexural rash, and allergic rhinitis symptoms were 4.8%, 15.3%, and 32.9%, respectively. The prevalence of diagnosis of allergic diseases in boys was higher than that in girls, with the exception of eczema. In both boys and girls, the difference of the prevalence of allergic diseases among industrial, metropolitan and provincial areas was not statistically significant, but the differences between rural area and other areas were significant. Our results support the importance of contextual effect associated with residential area as causative agents of allergic diseases among Korean school-age children.
PRINCIPLE OF ACTIVE SYSTEM SAFETY FOR AVIATION : CHALLENGES , SUPPORTIVE THEORY , IMPLEMENTATION , APPLICATION AND FUTURE

Active system safety approach for aviation is presented. An implementation scheme using a typical aircrafts structure is discussed with requirements, models and algorithms, hardware and software features. A reliability gain of the active system safety approach is analyzed. It is shown how active system safety model of an aircraft is organized and features of the main dependency matrix are described. Challenges as well as further potential development and possible projects are briefly introduced. 1
A Non-Quadratic Fuzzy Stabilization and Tracking Approach to a Two-Link Robot Manipulator control

In this paper, a new non-quadratic stabilization approach is used to stabilize a two-link robot manipulator. We use a non-quadratic Lyapunov function as a fuzzy blending of multiple quadratic Lyapunov functions. The quadratic Lyapunov functions share the same membership functions with the T-S fuzzy model. The proposed approach is based on two assumptions. The first one assumes a proportionality between multiple Lyapunov functions and the second one assumes upper bounds for the time derivative of the premise membership functions. Furthermore a fuzzy model reference tracking control scheme is proposed based on the T-S fuzzy model where external disturbances are taken into account. To illustrate the effectiveness of our proposal, the two-link robot model is used for different simulations
Predicting the conversion probability for items on C2C ecommerce sites

Online ecommerce has been booming for a decade. For instance, as the largest online C2C marketplace (eBay), millions of new items are listed daily. Due to the overwhelming number of items, the process of finding the right items to buy is sometimes daunting. In order to address this problem, this paper describes the idea of predicting the probability that a newly listed item will be sold successfully. And adjust the item exposure chances proportional according to their conversion possibility. Hence, by ranking higher items that users are likely to buy, the chance that users make the purchases could be increased as well as their user satisfaction. For catalog products that have been listed repeatedly, this probability can be measured empirically. However, on C2C sites like eBay, lots of items are not product-based. They are unique, and from different sellers. Therefore, in order to predict whether a new listing will be sold, we collect a large scale item set as the training data, and a set of features were used to model the average buyer shopping decision on C2C sites. Experimental results verified our system's feasibility and effectiveness.
An evolutionary keystroke authentication based on ellipsoidal hypothesis space

Keystroke authentication is a biometric method utilizing the typing characteristics of users. In this paper, we propose an evolutionary method for stable keystroke authentication. In the method, typing characteristics of users are represented by n-dimensional vectors and an ellipsoidal hypothesis space, which distinguishes a collection of the timing vectors of a user from those of the others, is evolved by a genetic algorithm. A filtering scheme and an adaptation mechanism are also presented to improve the stability and effectiveness of the proposed method. Empirical results show that the error rates of our method for authentication are reasonably small.