Miracle-dz/UniFAR-FTUs huggingface dataset:
Tumor markers in undiagnosed pleural effusions.

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Leader selection for optimal network coherence

We consider the problem of leader-based distributed coordination in networks where agents are subject to stochastic disturbances, but where certain designated leaders are immune to those disturbances. Specifically, we address the effect of leader selection on the coherence of the network, defined in terms of an H2 norm of the system. This quantity captures the level of agreement of the nodes in the face of the external disturbances. We show that network coherence depends on the eigenvalues of a principal submatrix of the Laplacian matrix, and we formulate an optimization problem to select the set of leaders that results in the highest coherence. As this optimization problem is combinatorial in nature, we also present several greedy algorithms for leader selection that rely on more easily computable bounds of the H2 norm and the eigenvalues of the system. Finally, we illustrate the effectiveness of these algorithms using several network examples.
An Exponentially Convergent Nonpolynomial Finite Element Method for Time-Harmonic Scattering from Polygons

In recent years nonpolynomial finite element methods have received increasing attention for the efficient solution of wave problems. As with their close cousin the method of particular solutions, high efficiency comes from using solutions to the Helmholtz equation as basis functions. We present and analyze such a method for the scattering of two-dimensional scalar waves from a polygonal domain that achieves exponential convergence purely by increasing the number of basis functions in each element. Key ingredients are the use of basis functions that capture the singularities at corners and the representation of the scattered field towards infinity by a combination of fundamental solutions. The solution is obtained by minimizing a least-squares functional, which we discretize in such a way that a matrix least-squares problem is obtained. We give computable exponential bounds on the rate of convergence of the least-squares functional that are in very good agreement with the observed numerical convergence. Challenging numerical examples, including a nonconvex polygon with several corner singularities, and a cavity domain, are solved to around 10 digits of accuracy with a few seconds of CPU time. The examples are implemented concisely with MPSpack, a MATLAB toolbox for wave computations with nonpolynomial basis functions, developed by the authors. A code example is included.
Voltage Control in PV-Rich LV Networks Without Remote Monitoring

The adoption of on-load tap changer (OLTC)-fitted transformers in low-voltage (LV) networks can be a potential solution to counteract voltage rise caused by high penetrations of residential photovoltaic (PV) systems. However, to control voltages in an efficient and flexible way, observability of remote points is required. This study proposes a generic and practical remote voltage estimation method for the end points of LV feeders to substitute the need of remote monitoring without compromising performance and, hence, avoid the corresponding investment. This scheme identifies first the number of customers per phase to then produce a generic feeder. The latter is used to estimate remote voltages based on substation measurements. The performance of the proposed estimation is compared against the case with monitoring considering a rule-based OLTC control logic as well as different control cycles on a real UK residential LV network. To cater for the load and generation uncertainties a time-series Monte Carlo analysis is applied. Furthermore, different uneven PV penetrations per feeder are considered. Results show that the use of estimated voltages can be as effective as those from remote monitoring. Consequently, the proposed approach can help making the adoption of OLTC-fitted transformers in future LV networks more cost effective.
Adaptive Moving-Target Tracking Control of a Vision-Based Mobile Robot via a Dynamic Petri Recurrent Fuzzy Neural Network

In this study, an adaptive moving-target tracking control (AMTC) scheme via a dynamic Petri recurrent fuzzy neural network (DPRFNN) is constructed for a vision-based mobile robot with a tilt camera. In this study, the dynamic model of a vision-based mobile robot system, including a nonholonomic mobile robot and a tilt camera based on the concepts of mechanical geometry and motion dynamics, is developed first. Then, a continuously adaptive mean shift algorithm is adopted for the moving-object detection, and a model-based conventional sliding-mode control (CSMC) strategy is introduced. In order to relax the control design dependent on detailed system information and alleviate chattering phenomena caused by the inappropriate selection of uncertainty bounds, it further designs a model-free AMTC scheme with a DPRFNN to imitate the CSMC strategy. In the DPRFNN, the concept of a Petri net and the recurrent frame of internal feedback loops are incorporated into a traditional fuzzy neural network to alleviate the computation burden of parameter learning and to enhance the dynamic mapping of network ability. This five-layer DPRFNN is utilized for the major role in the proposed AMTC scheme. The corresponding adaptation laws of network parameters are established in the sense of projection algorithm and Lyapunov stability theorem to ensure the network convergence, as well as robust control performance without detailed system information and the compensation of auxiliary controllers. In addition, the effectiveness of the proposed AMTC scheme is verified by numerical simulations under different target tracking, and its superiority is indicated in comparison with the CSMC system. Furthermore, experimental results are also provided to verify the validity of the proposed AMTC scheme in practical applications.
LTP mechanisms in the dentate gyrus in vivo: BDNF signaling, translation control, and gene function

This book illustrates some of the various molecular mechanisms underlying synaptic plasticity in a subfield of the rat hippocampus called dentate gyrus (DG). Long-term potentiation (LTP) is a well- known model for studying strengthening of synaptic plasticity. In this study, LTP was induced in the DG by intrahippocampal infusion of brain-derived neurotrophic factor (BDNF-LTP). Alternatively, LTP was induced at medial perforant path-granule cell synapses by high frequency stimulation (HFS-LTP). The aim of the study was investigation of transcriptional and translational changes of activity-regulated cytoskeleton-associated protein (Arc/Arg3.1) as well as changes in activation of the translation factors eIF4E (eukaryotic initiation factor 4E) and eEF2 (eukaryotic elongation factor-2) during LTP. We have demonstrated rapid activation of both translation factors and upregulation of Arc protein during BDNF-LTP. Additionally, an approach based on intrahippocampal infusion of Arc antisense oligodeoxynucleotides showed the importance of sustained Arc translation for the maintenance of both BDNF-LTP and HFS-LTP during a restricted time window.
Condensed Representation of DNA Primary Sequences

With rapid reporting of DNA sequences derived from automated DNA sequencing techniques, the problem of reviewing and ordering such information has become acute. We have introduced a condensed representation of primary sequences of DNA that offers an alternative method of registering DNA. The advantage of the condensed codes for DNA is that it not only offers fast, qualitative comparisons of DNA but also allows quantitative comparisons of DNA from different sources. The approach is outlined for a particular human beta globin sequence extract. Using the condensed representation of the primary DNA sequences, comparisons are made between primary sequences for Exon 1 of human beta globin and seven other beta globins.
An Evolutionary Study of Multi-Objective Workflow Scheduling in Cloud Computing

Cloud computing become more popular in every field of life nowadays. This happened only due to its amazing services that provide to clients in the form of everything-as-a-service(XaaS). Where at one side cloud computing is gaining popularity and another side its faces some issues i.e. security issue, total cost issue, energy consumption issue, performance issue, QoS issue, etc. In above all challenges the quality of services is the most noticeable challenge and affects the cloud computing services. Quality of services can be improved by considering the several factors, scheduling of workload for suitable cloud computing resources one of them. If the cloud computing resources are scheduled accurately, it affects the response time of services, total cost of cloud resources, reduce the energy consumption, reduce the CO2 emission and enhance the performance of whole cloud system. In this paper, we characterize a comparative review of multi-objective workflow scheduling algorithms that are listed below.
Think different? An investigation of network antecedents and performance consequences of creativity as deviation

In this study, the authors investigate how network relations affect project performance through creativity. They challenge previous conceptualizations of creativity by proposing the idea that creative outcomes in project industries can be conceptualized as deviation from past projects and deviation from partners’ projects. While previous research has mostly assumed that network relations are beneficial to performance because they increase innovation and creativity, this conceptualization of creativity reveals different empirical regularities. The authors show that network relations are likely to exercise both positive and negative effects on creativity and that creativity is also likely to exercise both positive and negative effects on performance. In addition, networks show both convergent and divergent effects on the two dimensions of creativity. The findings show that network relations activate important trade-offs that organizations must consider in their strategic choices and open up research on the social side of creativity.
Transparent layered user interfaces: an evaluation of a display design to enhance focused and divided attention

This paper describes a new research program investigating graphical user interfaces from an attentional perspective (as opposed to a more traditional visual perception approach). The centra] research issue is how we can better support both focusing attention on a single interface object (without distraction from other objects) and dividing or time sharing attention between multiple objects (to preserve context or global awareness). This attentional trade-off seems to be a central but as yet comparatively ignored issue in many interface designs. To this end, this paper proposes a framework for classifying and evaluating user interfaces with semi-transparent windows, menus, dialogue boxes, screens, or other objects. Semi-transparency fits into a more general proposed display design space of "layered" interface objects. We outline the design space, task space, and attentional issues which motivated our research. Our investigation is comprised of both empirical evaluation and more realistic application usage. This paper reports on the empirical results and summarizes some of the application findings.
Prospects for Improving Gravity-Fed Surface Irrigation Systems in Mediterranean European Contexts

Traditionally, most irrigation practices in Southern Europe have been based on gravity-fed surface irrigation systems. Currently, these systems remain a relevant typology in the European Union (EU) member states of the Mediterranean areas, where it is often the only sustainable method for farmers due to the small size of agricultural holdings, their reduced capacity and readiness to invest and the low ratio between yield profits and irrigation costs. In the last several years, in response to European and national directives, surface irrigation has garnered increasing attention at the political and bureaucratic levels due to frequent criticisms of its postulated low efficiency and high water wastage. However, these systems commonly provide a number of ecosystem services and nature-based solutions that increase the positive externalities in different rural socio-ecological contexts and often have the potential to extend these services and provide solutions that are compatible with economical sustainability. This study aims to discuss the prospects for new practices and for the rehabilitation and modernization of the gravity-fed surface irrigation systems in EU Mediterranean areas to enhance water efficiency, thus gaining both economic advantages and environmental benefits. The difficulties, stimuli for improvements and peculiarities of the irrigation water management of four rural environments located in Italy, Spain and Portugal were analyzed and compared to the current state of the gravity-fed surface irrigation systems with hypothetical future improvements achievable by innovative technologies and practices. In these different case studies, the current gravity-fed surface irrigation systems have an obsolete regulatory structure; water-use efficiency is not a driving criterion for the management of the conveyance and distribution canal network, and farmers are not yet adequately encouraged to adopt more efficient gravity-fed irrigation practices. A continuous knowledge exchange is thus necessary for the interaction of all irrigation water managers and farmers to improve their eco-efficiency and to preserve and promote their cultural heritage across the entire water supply and delivery chains. We argue that the best way forward will require precisely targeted rehabilitation measures of gravity-fed surface irrigation systems based on the integrated use of decision support services, gate automation, remote and feedback controls and real-time flow optimization.
Anticonvulsant Effects of Carbamazepine on Spontaneous Seizures in Rats with Kainate‐induced Epilepsy: Comparison of Intraperitoneal Injections with Drug‐in‐food Protocols

Purpose: The present study evaluated the effectiveness of intraperitoneal (IP) injections and oral administration of carbamazepine (CBZ) in food on the frequency of spontaneous motor seizures in rats with kainate‐induced epilepsy. The purpose was to develop a convenient drug‐in‐food approach for continuous, long‐term administration of potential antiepileptic drugs (AEDs).
Best Not Forget Lesbian, Gay, Bisexual, and Transgender Themed Children's Literature: A Teacher's Reflections of a More Inclusive Multicultural Education and Literature Program

ABSTRACT For many years, educational practitioners have been implementing multicultural literature about African-American, Asian, and Latino families. Teachers have also presented literature about great leaders, such as Martin Luther King Jr. and Helen Keller. However, the same cannot be said about literature depicting lesbian, gay, bisexual, and transgender (LGBT) families and heroes. In this article, the author's experience of teaching a multicultural literature program and students' responses to LGBT-themed literature are presented and discussed.
Archetypal Creativity and Healing: An Empirical Study of Floral Design (Ikebana)

Archetypal Creativity and Healing: An Empirical Study of Floral Design (Ikebana). (August 2009) Milena Sotirova-Kohli, M.A., Sofia University “St. Kliment Ohridski” Chair of Advisory Committee: Dr. David H. Rosen The theory of embodied cognition focuses on mechanisms of meaning beyond the traditional in western metaphysics dichotomy of body and mind. These mechanisms are considered to be the emerging aspects of meaning related to early infant experience of interaction with the environment. Image schema as the earliest form of representation in the mind corresponds to the notion of archetype from analytical psychology. Theory and research suggest that being in touch with the archetypal level of cognition is related to integration of parts of the personality and promotes well-being. Art and creativity are considered to facilitate this process and in this sense to promote healing. Active imagination is a method devised by C. G. Jung to relate to different aspects of the personality through creativity which results in a creative product. Active imagination bears similarity to art, however it focuses not only on the aesthetic outcome of the creative endeavor but also on the transformation of the personality in this process. Analytical psychology studies a number of creative expressions of the products of active imagination such as sand play, drawing, clay modeling, writing, dancing and psychodrama. However, there are no available empirical studies of the healing aspects
Individual Variability in Brain Slow Wave Profiles in Skilled Sharpshooters during the Aiming Period in Rifle Shooting

Preshot brain slow potential (SP) shifts from frontal, central, centro-lateral, and occipital areas were recorded for 12 national-caliber sharpshooters during rifle-shooting performance. The aim of the study was to examine the intra-and intersubject variation in these SP profiles and to compare the superior performance to the poor performance. The results revealed that each shooter responded with one main SP profile in both performance categories. The other profiles represented outliers rather than substantial variation. The main profiles differed from subject to subject, presumably indicating several shooting styles. Finally, the main profiles related to high and low score shots could be differentiated, but this differentiation varied from subject to subject. The results were interpreted as showing that a shooter tends systematically to carry through a learned performance pattern, which is reflected in the main SP profile of the superior shots. If the shooter fails to follow this pattern, the shot is pre.
Identification and Knockdown of the Olfactory Receptor (OrCo) in Gypsy Moth, Lymantria dispar

The gypsy moth, Lymantria dispar, is an important economic pest that causes large-scale damage to forests worldwide. Because of its important role in initiating and controlling insect behavior, olfaction—and olfaction-based pest management—has drawn increasing attention from entomologists. In this study, we identified the gene that encodes the olfactory receptor co-receptor (OrCo). Through amino acid sequence alignment, we found that LdisOrCo shares high identity with other OrCo proteins from different insect orders. Next, we performed RNA-interference (RNAi) to assess the role of OrCo in olfaction. Electroantennographic assays showed that after RNAi, the average value of males' response to sex pheromones was 0.636 mV, significantly lower than that of the positive control (average = 1.472 mV). Females showed no response to sex pheromones before or after RNAi. Finally, quantitative PCR showed a strong decrease in the expression of OrCo after RNAi, by ~74% in males and by 23% in females relative to the positive controls. These results indicate that OrCo is not only critical to odor recognition, but it may also represent a new target for development of semiochemicals that can influence insect behavior.
Intellectual Property and Consolidation in the Seed Industry

Intellectual property protections on seeds have increased dramatically in recent decades, from the granting of patent-like protections on certain types of seeds in 1970 to the enforcement of contract provisions for seeds beyond the �耀rst sale in 2013. During this same period, the seed industry has experienced rapid consolidation. Although as recently as the 1970s, it was characterized by thousands of small, mostly family-owned business, by 2011, just three agrochemical �耀rms controlled more than half of the global proprietary seed market. These trends have resulted in rapidly increasing prices for commodity seeds and reduced farmers’ ability to save seeds. Given these important negative impacts, why do these trends continue? Expanding intellectual property protections and reducing the number of competitors are strategies that the largest �耀rms understand ably employ to increase their power but government support has also been essential to their success. Policy changes have reduced the enforcement of antitrust laws and increased the enforcement of alleged intellectual property infringements. In addition, synergies between stronger intellectual property protections and consolidation have further reinforced the dominance of top �耀rms at the expense of a freely competitive industry. A better understanding of these trends is unlikely to reverse them in the near term but may increase the effectiveness of creating alternatives to a seed oligopoly.