Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal scheduling of time shiftable loads in a task scheduling based demand response program by symbiotic organisms search algorithm

Demand side management is one of the key issues in smart electrical grid studies. Power demand of consumers can be managed via demand response(DR) programs. Task scheduling (TS) based demand response is one of the DR schemes. Objective of the TS approach is to schedule activation time of the appropriate time-shiftable loads to reduce power consumption in peak-demand hours. Heuristic optimization methods can be used to provide this objective. Symbiotic Organisms Search (SOS) and Cuckoo Search (CS) algorithms are two of the most recent heuristic methods. In this paper, scheduling of the time-shiftable home appliances executed by SOS and CS algorithms. Time-shiftable home appliances of the consumers and run time tolerances of them aggregated by mini public survey to achieve results which close to reality. Obtained results are indicated the superiority of the SOS algorithm and demonstrated the positive effects of the demand side management on the electrical grid.
Development of a multirotor-based system for air quality monitoring

Air quality monitoring has been traditionally conducted using ground-based systems that present multiple disadvantages in terms of support infrastructures, maintenance and power consumption. Recently, researchers have proposed the use of unmanned aerial vehicles (UAV) equipped with sensors for air data monitoring. However, UAV operation lacks of reliability to be used in populated area. In this paper, we propose to use an hexarotor UAV armed with Fault Tolerant Control (FTC) strategies to measure and detect air quality for air data collection in urban environments.
Reduced Expression of Cyclin–dependent Kinase Inhibitor p27Kipl Is Associated with Advanced Stage and Invasiveness of Gastric Carcinomas

Reduced expression of a cyclin–dependent kinase inhibitor p27Kipl has recently been shown to predict poor survival of patients with breast and colorectal cancers. We studied the expression of p27Kipl in gastric carcinomas by northern blotting, western blotting and immunohistochemistry to determine whether lack of p27 has implications for aggressiveness of gastric cancer. Reduced expression of p27 was detected in 40% of the gastric carcinomas at the mRNA level, while it was detected in 57% at the protein level. No gross alterations of the p27 gene were observed in any of the cases examined by Southern blot analysis. Inimunohistochemical studies revealed that the expression of p27 was well preserved in most of the gastric adenomas, whereas it was so in only 26% of the gastric carcinomas. Fifty–six percent of the carcinomas showed almost no p27–positive cells. Decrease of p27–positive cells significantly correlated with advanced stage, depth of tumor invasion and lymph node metastasis. The expression of p27 showed an inverse correlation with the expression of cyclin E. These findings suggest that reduction of p27Klpl protein may reflect the progression of gastric carcinomas and may be an indicator of high–grade malignancy.
Estimating age and growth in long-lived temperate freshwater crayfish using lipofuscin

1. In ecological studies on freshwater crayfish, determination of basic population parameters is often complicated by the lack of a suitable age estimation method. 2. Previously, lipofuscin age pigment in the olfactory lobe cell masses (OLCM) of short-lived tropical crayfish has been used for accurate age determination. Here we present the first test of this method on a longer-lived, temperate species, the signal crayfish, Pacifastacus leniusculus. 3. Confocal fluorescence microscopy and image analysis of histological sections were used to quantify OLCM lipofuscin in a reference sample of Swedish P. leniusculus from several known year-classes, reared under naturally variable temperature conditions. Lipofuscin concentration was linearly associated with age (r2 = 92.4%) and produced much more accurate age estimates than conventional body size-based procedures. 4. A model derived from the crayfish of known-age was used to estimate the ages of wild P. leniusculus from an English stream. The relationship between lipofuscin-estimated age and carapace length suggested relatively slow growth in this wild population, consistent with a high population density and severe competition. The analysis also extended the known longevity of P. leniusculus to approximately 16 years. 5. The lipofuscin method for determining age and growth may be widely applicable to freshwater crayfish, with probable further potential both within and outside the Crustacea.
Rumors, Fake News and Social Bots in Conflicts and Emergencies: Towards a Model for Believability in Social Media

The use of social media is gaining more and more in importance in ordinary life but also in conflicts and emergencies. The social big data, generated by users, is partially also used as a source for situation assessment, e.g. to receive pictures or to assess the general mood. However, the information's believability is hard to control and can deceive. Rumors, fake news and social bots are phenomenons that challenge the easy consumption of social media. To address this, our paper explores the believability of content in social media. Based on foundations of information quality we conducted a literature study to derive a three-level model for assessing believability. It summarizes existing assessment approaches, assessment criteria and related measures. On this basis, we describe several steps towards the development of an assessment approach that works across different types of social media.
The Handbook of the Psychology of Communication Technology

The Handbook of the Psychology of Communication Technology offers an unparalleled source for seminal and cutting-edge research on the psychological aspects of communicating with and via emergent media technologies, with leading scholars providing insights that advance our knowledge on human-technology interactions. • A uniquely focused review of extensive research on technology and digital media from a psychological perspective • Authoritative chapters by leading scholars studying psychological aspects of communication technologies • Covers all forms of media from Smartphones to Robotics, from Social Media to Virtual Reality • Explores the psychology behind our use and abuse of modern communication technologies • New theories and empirical findings about ways in which our lives are transformed by digital media
Sacrificial-layer free transfer of mammalian cells using near infrared femtosecond laser pulses

Laser-induced cell transfer has been developed in recent years for the flexible and gentle printing of cells. Because of the high transfer rates and the superior cell survival rates, this technique has great potential for tissue engineering applications. However, the fact that material from an inorganic sacrificial layer, which is required for laser energy absorption, is usually transferred to the printed target structure, constitutes a major drawback of laser based cell printing. Therefore alternative approaches using deep UV laser sources and protein based acceptor films for energy absorption, have been introduced. Nevertheless, deep UV radiation can introduce DNA double strand breaks, thereby imposing the risk of carcinogenesis. Here we present a method for the laser-induced transfer of hydrogels and mammalian cells, which neither requires any sacrificial material for energy absorption, nor the use of UV lasers. Instead, we focus a near infrared femtosecond (fs) laser pulse (λ = 1030 nm, 450 fs) directly underneath a thin cell layer, suspended on top of a hydrogel reservoir, to induce a rapidly expanding cavitation bubble in the gel, which generates a jet of material, transferring cells and hydrogel from the gel/cell reservoir to an acceptor stage. By controlling laser pulse energy, well-defined cell-laden droplets can be transferred with high spatial resolution. The transferred human (SCP1) and murine (B16F1) cells show high survival rates, and good cell viability. Time laps microscopy reveals unaffected cell behavior including normal cell proliferation.
Identification of cancer-related miRNA-lncRNA biomarkers using a basic miRNA-lncRNA network

LncRNAs are regulatory noncoding RNAs that play crucial roles in many biological processes. The dysregulation of lncRNA is thought to be involved in many complex diseases; lncRNAs are often the targets of miRNAs in the indirect regulation of gene expression. Numerous studies have indicated that miRNA-lncRNA interactions are closely related to the occurrence and development of cancers. Thus, it is important to develop an effective method for the identification of cancer-related miRNA-lncRNA interactions. In this study, we compiled 155653 experimentally validated and predicted miRNA-lncRNA associations, which we defined as basic interactions. We next constructed an individual-specific miRNA-lncRNA network (ISMLN) for each cancer sample and a basic miRNA-lncRNA network (BMLN) for each type of cancer by examining the expression profiles of miRNAs and lncRNAs in the TCGA (The Cancer Genome Atlas) database. We then selected potential miRNA-lncRNA biomarkers based on the BLMN. Using this method, we identified cancer-related miRNA-lncRNA biomarkers and modules specific to a certain cancer. This method of profiling will contribute to the diagnosis and treatment of cancers at the level of gene regulatory networks.
Multiple regression analysis of IEEE 802.16j relay network throughput

In IEEE 802.16J relay networks, time division multiple access (TDMA) is adopted for sharing wireless network resources while avoiding radio wave interference. Time slot assignment determines the degree of spatial reuse of wireless network resources and radio interference strength, which affects network performance. The relay network performance is also influenced by various factors, such as background noise level, path loss exponent, density of relay nodes, and transmission signal strength. In this paper, we present the results of multiple regression analysis of IEEE 802.16J relay network throughput. We first summarize the network environment parameters that affect the throughput of relay networks and conduct extensive simulation experiments with various sets of parameter values. From the simulation results, we investigate the relative effect of parameters on throughput performance by multiple regression analysis. The analysis results show that background noise level and path loss exponent are the key parameters for determining relay network throughput. We also obtain a regression equation to estimate the throughput with enough accuracy.
Creating a Digital Support Center: Foregrounding Multiliteracy

On a mid-sized university campus, the library proposes a new functional digital technology support service, and Communication Across the Curriculum (CAC) proposes a new critical and rhetorical digital support service; however, the collaborative process leading to the renovation of the library basement into a digital commons that will house these two differing digital centers has revealed missing, yet fundamental, questions about the purpose and structure of both services. Though building the digital commons could provide support in all three technological literacies, functional, critical, and rhetorical (Selber, 2004), decisions about the material aspects of the renovation preceded discussions of the theoretical foundations that necessarily inform mission and purpose and that should shape the work of the two centers. As a result, the collaboration has thus far produced an emphasis on only the first layer of technological literacy: creating functional users. The primary stakeholders’ distance from the disciplinary knowledge of speaking and writing center scholarship combined with a lack of familiarity with recent trends in multiliteracy scholarship have resulted in a problematic disconnect between how the space should look and what the space should do.
Anti-Jamming Communications Using Spectrum Waterfall: A Deep Reinforcement Learning Approach

This letter investigates the problem of anti-jamming communications in a dynamic and intelligent jamming environment through machine learning. Different from existing studies which need to know (estimate) the jamming patterns and parameters, we use the temporal and spectral information, i.e., the spectrum waterfall, directly. First, to cope with the challenge of infinite state of spectrum waterfall, a recursive convolutional neural network is designed. Then, an anti-jamming deep reinforcement learning algorithm is proposed to obtain the optimal anti-jamming strategies. Finally, simulation results validate the proposed approach. The proposed algorithm does not need to model the jamming patterns, and naturally has the ability to explore the unknown environment, which implies that it can be widely used for combating dynamic and intelligent jamming.
Differential Expression of Facilitative Glucose Transporter (GLUT) Genes in Primary Lung Cancers and Their Liver Metastases

Glucose uptake is mediated by members of the facilitative glucose transporter (GLUT) family. Malignant cells take up more glucose than their normal counterparts. The aim of this study was to investigate the gene expression levels of the GLUT family, especially GLUT1, GLUT3, and GLUT5 in primary lung cancer, metastatic liver tumors, and normal lung tissues, and to compare the expression levels of primary and metastatic tumors with those of normal tissues. We analyzed 105 autopsy samples (35 primary lung tumors, 35 corresponding normal lung tissues, 25 normal liver tissues, and 10 metastatic liver tumors) from 35 patients using the quantitative reverse transcription polymerase chain reaction. The GLUT1 gene expression levels in primary lung tumors were significantly higher than those in normal lung tissues. In liver metastatic lesions, the GLUT3 and GLUT5 gene expression levels were significantly higher than those in primary lung tumors, but there were no differences in GLUT1 expression levels between primary and metastatic liver tumors. Our results show that the gene expression pattern of the GLUT family is different between primary and metastatic liver tumors and suggest that the energy transporters in metastatic tumors may be different from those in primary tumors.
Precession electron diffraction‐assisted crystal phase mapping of metastable c‐GaN films grown on (001) GaAs

The control growth of the cubic meta‐stable nitride phase is a challenge because of the crystalline nature of the nitrides to grow in the hexagonal phase, and accurately identifying the phases and crystal orientations in local areas of the nitride semiconductor films is important for device applications. In this study, we obtained phase and orientation maps of a metastable cubic GaN thin film using precession electron diffraction (PED) under scanning mode with a point‐to‐point 1 nm probe size beam. The phase maps revealed a cubic GaN thin film with hexagonal GaN inclusions of columnar shape. The orientation maps showed that the inclusions have nucleation sites at the cubic GaN {111} facets. Different growth orientations of the inclusions were observed due to the possibility of the hexagonal {0001} plane to grow on any different {111} cubic facet. However, the generation of the hexagonal GaN inclusions is not always due to a 60° rotation of a {111} plane. These findings show the advantage of using PED along with phase and orientation mapping, and the analysis can be extended to differently composed semiconductor thin films. Microsc. Res. Tech. 77:980–985, 2014. © 2014 Wiley Periodicals, Inc.
Asset Accumulation: An Alternative Approach to Achieving the Millennium Development Goals

The United Nations Millennium Development Goals (MDGs) are unlikely to be achieved by 2015, owing to conceptual flaws in their design as well as the structural and political constraints faced during implementation at the country level. While criticism of the MDGs is widespread, innovative ideas on addressing these operational challenges are still scanty. By reviewing a number of experiences, including those of the Foundation for the Promotion of Local Development (PRODEL) in Nicaragua and the Ministry of Cities in Brazil, this article highlights the importance of incorporating an asset-accumulation perspective into MDG-related policies and programmes as a way of generating an enabling environment that opens up new opportunities for poverty reduction in the cities of low- and middle-low-income countries.
Salivary Stress-Related Responses in Tinnitus: A Preliminary Study in Young Male Subjects with Tinnitus

Objective: This preliminary study examined if baseline measures of stress-related biomarkers as measured by salivary secretions of specific autonomic [measured by salivary α-amylase (sAA)], endocrine (measured by salivary cortisol), and immune (measured by salivary neopterin) responses are greater in male subjects with tinnitus in response to an induced-stress task. Method: Twenty male subjects with no significant hearing loss, 10 with tinnitus, and 10 without tinnitus were enrolled in this study.Salivary secretions were collected before and after the induced stress task at four different time intervals. Results: sAA levels were lower in the tinnitus group in comparison to subjects without tinnitus, suggesting impaired sympathetic activity in the subjects with tinnitus although these levels remained stable throughout the stress experiment.While no significant effects could be obtained for salivary cortisol or neopterin, salivary neopterin levels were trending toward significance over all measurements. Behavioral measures of stress were found to correlate negatively with measures of sAA and salivary neopterin. Conclusion: The results of this study suggest impaired stress-related sAA mechanisms in male subjects with tinnitus, as evidenced by the different stress reactions induced in the endocrine system (as measured by salivary cortisol) and the immune system (as measured by salivary neopterin).
Conflict styles and outcomes in parent-adolescent relationship and adolescent family satisfaction

Abstract In my article I identified the meaning of conflict in parent-adolescent relationship for adolescent family satisfaction. It was found that family satisfaction is positively related to seeking compromise by the parents, as well as being negatively related to parental aggression. Adolescent satisfaction is higher when conflicts with the father more often result in improving their relationship (intimacy), and when conflicts with the mother end less frequently with escalation and frustration. A significant parental behavioral role in conflict with the adolescent was confirmed; however, the strongest predictor of adolescent family satisfaction is in seeking compromise by the father. In accordance with Steinberg’s emotional distancing hypothesis, with the adolescent’s age family satisfaction was found to decrease, and conflicts escalated and frustration in mother-adolescent relationship increased.
Fiber-optic probe design and optical property recovery algorithm for optical biopsy of brain tissue

Abstract. Optical biopsy techniques offer a minimally invasive, real-time alternative to traditional biopsy and pathology during tumor resection surgery. Diffuse reflectance spectroscopy (DRS) is a commonly used technique in optical biopsy. Optical property recovery from spatially resolved DRS data allows quantification of the scattering and absorption properties of tissue. Monte Carlo simulation methods were used to evaluate a unique fiber-optic probe design for a DRS instrument to be used specifically for optical biopsy of the brain. The probe diameter was kept to a minimum to allow usage in small surgical cavities at least 1 cm in diameter. Simulations showed that the close proximity of fibers to the edge of the probe resulted in boundary effects due to reflection of photons from the surrounding air–tissue interface. A new algorithm for rapid optical property recovery was developed that accounts for this reflection and therefore overcomes these effects. The parameters of the algorithm were adjusted for use over the wide range of optical properties encountered in brain tissue, and its precision was evaluated by subjecting it to random noise. This algorithm can be adapted to work with any probe geometry to allow optical property recovery in small surgical cavities.
Interactive Ray Tracing of Large Models Using Voxel Hierarchies

We propose an efficient approach for interactive visualization of massive models with CPU ray tracing. A voxel‐based hierarchical level‐of‐detail (LOD) framework is employed to minimize rendering time and required system memory. In a pre‐processing phase, a compressed out‐of‐core data structure is constructed, which contains the original primitives of the model and the LOD voxels, organized into a kd‐tree. During rendering, data is loaded asynchronously to ensure a smooth inspection of the model regardless of the available I/O bandwidth. With our technique, we are able to explore data sets consisting of hundreds of millions of triangles in real‐time on a desktop PC with a quad‐core CPU.
LEARNING , INSTRUCTION , AND COGNITION Measuring Relational Reasoning

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Subjunctive interfaces: Extending applications to support parallel setup, viewing and control of alternative scenarios

Many applications require exploration of alternative scenarios; most support it poorly. Subjunctive interfaces provide mechanisms for the parallel setup, viewing and control of scenarios, aiming to support users' thinking about and interaction with their choices. We illustrate how applications for information access, real-time simulation, and document design may be extended with these mechanisms. To investigate the usability of this form of extension, we compare a simple census browser against a version with a subjunctive interface. In the first of three studies, subjects reported higher satisfaction with the subjunctive interface, and relied less on interim marks on paper. No reduction in task completion time was found, however, mainly because some subjects encountered problems in setting up and controlling scenarios. At the end of a second, five-session study, users of a redesigned interface completed tasks 27% more quickly than with the simple interface. In the third study we examined how subjects reasoned about multiple-scenario setups in pursuing complex, open-ended data explorations. Our main observation was that subjects treated scenarios as information holders, using them creatively in various ways to facilitate task completion.