Miracle-dz/UniFAR-FTUs huggingface dataset:
Eleştirel Düşünme Becerisi Öğretim Programı Tasarısının Öğrencilerin Yansıtıcı Düşünme Becerilerine Etkisi

Bu calismanin amaci arastirmacilar tarafindan gelistirilen elestirel dusunme becerisi ogretim program tasarisinin, 5. sinif ogrencilerinin yansitici dusunme becerileri uzerindeki etkisini belirlemektir. Arastirma surecinde elestirel dusunme becerisi ogretim program tasarisi ogrencilere beceri temelli bir yaklasimla uygulanmis ve arastirmada ihtiyac duyulan veriler yari deneysel desen ile elde edilmistir. Arastirmanin calisma grubunu 2015-2016 egitim-ogretim yilinda Afyonkarahisar il merkezinde bulunan iki ortaokuldaki iki adet besinci sinif olusturmaktadir. Ogrencilerin yansitici dusunme becerilerini olcmek icin Yildirim (2012) tarafindan gelistirilen “Yansitici Dusunme Olcegi” kullanilmistir. Arastirma sonucunda deney grubunun yansitici dusunme olceginden elde ettigi erisi puanlarinin anlamli olarak farklilastigi belirlenmistir. Buna ek olarak deney grubundaki ogrencilerin beceri temelli elestirel dusunme ogretimi surecindeki yansitici dusunme erisi puanlari bilgisayar, tablet ve akilli telefon basinda gecirilen gunluk zaman ve interneti kullanma amaci degiskenlerine gore anlamli farklilik gosterirken, cinsiyet, sosyoekonomik duzey, bir ayda okunan kitap sayisi, TV basinda gecirilen gunluk zaman ve ders disi etkinliklere katilim durumu degiskenlerine gore anlamli bir farklilik gostermemistir.
Predictive Displays for High Latency Teleoperation

Abstract : This paper presents a method to mitigate high latency in the teleoperation of unmanned ground systems through display prediction and state estimation. Specifically, it presents a simulation environment which models both sides of the teleoperation system in the laboratory. The simulation includes a teleoperated vehicle model to represent the dynamics in high fidelity. The sensors and actuators are modeled as well as the communication channel. The latency mitigation approach is implemented in this simulation environment, which consists of a feed-forward vehicle model as a state estimator which drives a predictive display algorithm. These components work together to help the operator receive immediate feedback regarding his/her control actions. The paper contains a technical discussion of the design as well as specific implementation. It concludes with the presentation of some experimental data which demonstrate significant improvement over the unmitigated case.
Vector Control of the Interlinking Converter for the Droop Controlled Power Flow in ACDC Hybrid

Distributed Generation (DG) units using renewable and non-conventional sources have become a part of modern electrical grids because of their advantages like expandability, flexibility, environmental friendliness, etc. The combination of various DG units along with the loads which can operate both in grid connected and islanded modes form a microgrid. In a microgrid, advanced power electronic interfaces along with appropriate control schemes are required for carrying out essential power conditioning and smooth integration of these DGs to the microgrids, and for further integration of microgrids to the main utility grid. In grid tied mode, where the microgrid is interconnected to utility grid, the DG sources (i.e., renewables like Solar) operate like a current source transferring maximum power to the utility grid, and the conventional sources share the load power based on their generation droop characteristics. However, in islanded mode, each DG is made to act like a controlled voltage source and the power sharing between various DG’s is generally made according to their power ratings (using Droop control scheme). This paper investigates issues related to power sharing by various sources belonging to AC and DC submicrogrids connected to a Utility grid. These AC and DC subgrids are considered as one unit which operates in connected and islanded modes with Utility grid. AC and DC subgrids inturn are connected to each other through a bi-directional power electronic interface. The main challenge addressed in this paper is to manage power sharing between all these DG sources in the AC and DC subgrids. Towards addressing this problem, a normalization expression taking into account the DC bus voltage and AC bus frequency is considered. Accordingly, control schema is implemented, with the aim of meeting all the loads of both the sub-grids ensuring required power exchange through the bidirectional converter. The validation of the implemented control schemes is tested for various load conditions.
Aalborg Universitet Perceived annoyance from environmental odors and association with atmospheric ammonia levels in non-urban residential communities A cross-sectional study

Objective: Odor exposure is an environmental stressor that is responsible of many citizens complains about air pollution in non-urban areas. However, information about the exposure-response relation is scarce. One of the main challenges is to identify a measurable compound that can be related with odor annoyance responses. We investigated the association between regional and temporal variation of ammonia (NH3) concentrations in five Danish non-urban regions and environmental odor annoyance as perceived by the local residents. Methods: A cross-sectional study where NH3 concentration was obtained from the national air quality monitoring program and from emission-dispersion modelling, and odor pollution perception from questionnaires. The exposure-response model was a sigmoid model. Linear regression analyses were used to estimate the model constants after equation transformations. The model was validated using leave-one-out cross validation (LOOCV) statistical method. Results: About 45% of the respondents were annoyed by odor pollution at their residential areas. The perceived odor was characterized by all respondents as animal waste odor. The exposure-annoyance sigmoid model showed that the prevalence of odor annoyance was significantly associated with NH3 concentrations (measured and estimated) at the local air quality monitoring stations (p< 0.01,R = 0.99; and p< 0.05,R = 0.93; respectively). Prediction errors were below 5.1% and 20% respectively. The seasonal pattern of odor perception was associated with the seasonal variation in NH3 concentrations (p< 0.001, adjusted R 2 = 0.68). Conclusion: The results suggest that atmospheric NH3 levels at local air quality stations could be used as indicators of prevalence of odor annoyance in non-urban residential communities.
Aquaculture-Fisheries Interactions

In this paper, I investigate aquaculture externalities on fisheries, affecting either habitat, wild fish stock genetics, or fishing efficiency under open-access and rent-maximising fisheries. This is done with a Verhulst-Schaefer model of fish population-dynamics and production, coupled with a simple aquaculture production model. Externalities are modelled by letting carrying capacity, the stock's intrinsic growth rate, or catchability coefficient in the fishery depend on aquaculture production. The different externalities can give totally opposite results on steady-state fishing effort, yield, and stock, even for only negative externalities. With a catchability externality, increased unit cost of fishing effort implies reduced aquaculture production to maximise benefits to society under reasonable assumptions. Resource allocation between the industries is analysed under three different coastal management regimes: 1) aquaculture has a primary right of use; 2) joint management of aquaculture and fishery; 3) fishers have a primary right of use, including the right to sell marine farming rights.
Recent advances in prostate development and links to prostatic diseases

The prostate is a branched ductal‐acinar gland that is part of the male reproductive tract. Prostate development depends upon the integration of steroid hormone signals, paracrine interactions between the stromal and epithelial tissue layers, and the actions of cell autonomous factors. Several genes and signaling pathways are known to be required for one or more steps of prostate development including epithelial budding, duct elongation, branching morphogenesis, and/or cellular differentiation. Recent progress in the field of prostate development has included the application of genome‐wide technologies including serial analysis of gene expression, expression profiling microarrays, and other large‐scale approaches to identify new genes and pathways that are essential for prostate development. The aggregation of experimental results into online databases by organized multilab projects including the Genitourinary Developmental Molecular Atlas Project has also accelerated the understanding of molecular pathways that function during prostate development and identified links between prostate anatomy and molecular signaling. Rapid progress has also recently been made in understanding the nature and role of candidate stem cells in the developing and adult prostate. This has included the identification of putative prostate stem cell markers, lineage tracing, and organ reconstitution studies. However, several issues regarding their origin, precise nature, and possible role(s) in disease remain unresolved. Nevertheless, several links between prostatic developmental mechanisms and the pathogenesis of prostatic diseases including benign prostatic hyperplasia and prostate cancer have led to recent progress on targeting developmental pathways as therapeutic strategies for these diseases. WIREs Syst Biol Med 2013, 5:243–256. doi: 10.1002/wsbm.1208
Breast cancer risk following irradiation for Hodgkin's disease.

Radiation is commonly used to treat early-stage Hodgkin's disease. As the risk of recurrent Hodgkin's disease decreases as time from treatment elapses, the risk of radiation-induced breast cancer rises. Women irradiated between the time of puberty and the age of 30 are at the highest risk. The median time to breast cancer following radiation in this age group is approximately 15 years, usually when women are aged between 30 and 40, and often before regular breast screening is implemented. Risk factors associated with breast cancer development include age at irradiation, time since treatment and the radiation dose received. Current screening for breast cancer after Hodgkin's disease is inconsistent. In this article we review breast development, mechanisms of radiation-induced carcinogenesis, and findings from retrospective studies on Hodgkin's disease and breast cancer. We also review future considerations of management, including assessment of risk awareness in these women, guidelines for follow-up and screening, and chemoprevention both during and after treatment of Hodgkin's disease. The literature reviewed was obtained from Medline using the key words: breast cancer, Hodgkin's disease and radiation-induced cancer. The search was limited to English language literature. Other sources include reference lists in books and published papers.
Green computing and Software Defects in open source software: An Empirical study

Overtime open source software (OSS) is receiving attention from industry. The growth rate is unprecedented. The software industry is inclining towards adopting OSS despite concerns about the quality. Defect management has been a key issue in OSS. Software whether it is close or open source uses energy. Green computing argued that environmental conditions are getting worst and use of power consumptions should be minimized to protect the earth. A lot of work has been reported in the area of green hardware but very little work has been reported in making software green. The main objective this work is to increase understanding of green software development. In this study, we empirically investigate that whether there is relationship between defect management in OSS and power consumption of OSS application. We used a dataset consist of 82 OSS projects to study the research model of this investigation. The results of this investigation show that software defect management in OSS play a significant role in managing power consumption of OSS applications.
Experimental evaluation of a density kernel in clustering

The recently proposed clustering algorithm based on density peaks is reported to generate very good clustering results. This algorithm is simple and efficient, and can be used to generate clusters of arbitrary shapes. However, the performance of this algorithm relies on the selection of the kernel in local density calculation. The original density peak based algorithm uses the cutoff kernel and Gaussian kernel to calculate the local density, and the clustering results are found to be influenced by the cutoff distance, which can only be determined empirically so far. In this paper we use a different kernel in density calculation, and evaluate the influence of related parameter on the clustering results. Our work is helpful in understanding the clustering mechanism of this algorithm.
Skyline-enabled Storage System

This is a vision statement for a novel idea of enabling skyline operators over a large-scale file system, in order to support efficient and automated management over large files systems. As file systems grows rapidly, so does the complexity of the underlying storage systems, which often contains a variety of hardware with distinct performance profiles e.g., hard disks, Flash memory based devices, tapes, etc. Even for a particular type of hardware, e.g., Flash memory based devices, different devices may use different interfaces (PCI, SATA, etc.), employ different technologies (single-level cell/SLC, multi-level cell/MLC), and in turn perform differently on key measures such as latency, bandwidth, IOPS, etc. We believe that, to enable automated management in this environment, a key prerequisite is the ability to process top-k queries over the file system in an efficient manner. In general, each top-k query defines a unique scoring (preference) function over all files in the system, and is supposed to retrieve the k files1 which have the highest scores. For example, if one is looking for files to be migrated from disk storage to tape archive, the corresponding top-k query should “prefer” files with larger sizes and are accessed less frequently. As such, it may define the scoring function (for files) as a weighted combination of the file size and the inverse of its access frequency. Similarly, give a top-k query answer with scoring function being the access frequency and a WHERE clause requiring the retrieved files to be read-only, one may find the desired files to be moved to a PCI-based flash storage for faster access. A key challenge for processing top-k queries, however, is that, given the heterogeneity of storage devices in a largescale system, one may have to support top-k queries with a wide variety of scoring functions (which are determined by the performance profiles of the corresponding storage devices). It is clearly inefficient to scan through all files for processing each top-k query. On the other hand, simply building an index for each file-meta-data attribute used by the scoring functions cannot solve the problem either, as many scoring functions involve more than one attributes of file meta data. For example, the above-mentioned top-k query for tape archive involves both size and access frequency of files in the system. To support the efficient processing of top-k queries, this work-in-progress report proposes a novel paradigm of Skylineenabled Storage System (S). The key idea here is to maintain a list of skyline files in the system that can support the efficient
Modeling and evaluating Reliable Real-Time degree in multi-hop Wireless Sensor Networks

Wireless Sensor Network (WSN) should be capable of fulfilling its mission, in a timely manner and without loss of important information. In this paper, we propose a new analytical model for calculating RRT (Reliable Real-Time) degree in multihop WSNs, where RRT degree describes the percentage of real-time data that the network can reliably deliver on time from any source to its destination. Also, packet loss probability is modeled as a function of the probability of link failure when the buffer is full and the probability of node failure when node's energy is depleted. Most of network properties are considered as random variables and a queuing-theory based model is derived. In this model, the effect of network load on the packets delay, RRT degree, and nodes energy depletion rate is considered. Simulation results are used to validate the proposed model. The simulation results agree very well with the model.
A Modular Feedforward Network for Solving Classification Problems

We present a modular feedforward neural network for solving difficult classification problems. It is based on a hybrid architecture including RBF, PCA, and MLP modules, and is extremely efficient in terms of computational effort and number of parameters. Simulation results for the well-known 2-spirals benchmark problem are presented, and the possibility of using the proposed architecture as an autoassociative network is also outlined.
Semantic Sentiment Analysis of Arabic Texts

Twitter considered as a rich resource to collect people's opinions in different domains and attracted researchers to develop an automatic Sentiment Analysis (SA) model for tweets. In this work, a semantic Arabic Twitter Sentiment Analysis (ATSA) model is developed based on supervised machine learning (ML) approaches and semantic analysis. Most of the existing Arabic SA approaches represent tweets based on the bag-of-words (BoW) model. The main limitation of this model is that it is semantically weak; where words considered as independent features and ignore the semantic associations between them. As a result, synonymous words that appear in two tweets are represented as different independent features. To overcome this limitation, this work proposes enriching the tweets representation with concepts utilizing Arabic WordNet (AWN) as an external knowledge base. In addition, different concepts representation approaches are developed and evaluated with naive Bayes (NB) and support vector machine (SVM) ML classifiers on an Arabic Twitter dataset. The experimental results indicate that using concepts features improves the performance of the ATSA model compared with the basic BoW representation. The improvement reached 4.48% with the SVM classifier and 5.78% with the NB classifier.
Production and preliminary characterization of monoclonal antibodies directed at two surface proteins of rhesus rotavirus

A series of monoclonal antibodies was isolated which reacted with one of two major surface proteins of rhesus rotavirus. Thirty-six monoclonal antibodies immunoprecipitated the 82-kilodalton outer capsid protein, the product of the fourth gene, the viral hemagglutinin. These monoclonal antibodies exhibited hemagglutination inhibition activity and neutralized rhesus rotavirus to moderate or high titer. Three monoclonal antibodies immunoprecipitated the 38-kilodalton outer capsid glycoprotein, the eighth or ninth gene product. These three monoclonal antibodies neutralized rhesus rotavirus to high titer and also inhibited viral hemagglutination.
Delivery of Large Heterologous Polypeptides across the Cytoplasmic Membrane of Antigen-Presenting Cells by the Bordetella RTX Hemolysin Moiety Lacking the Adenylyl Cyclase Domain

The Bordetella adenylate cyclase toxin-hemolysin (CyaA; also called ACT or AC-Hly) targets CD11b-expressing phagocytes and translocates into their cytosol an adenylyl cyclase (AC) that hijacks cellular signaling by conversion of ATP to cyclic AMP (cAMP). Intriguingly, insertion of large passenger peptides removes the enzymatic activity but not the cell-invasive capacity of the AC domain. This has repeatedly been exploited for delivery of heterologous antigens into the cytosolic pathway of CD11b-expressing dendritic cells by CyaA/AC− toxoids, thus enabling their processing and presentation on major histocompatibility complex (MHC) class I molecules to cytotoxic CD8+ T lymphocytes (CTLs). We produced a set of toxoids with overlapping deletions within the first 371 residues of CyaA and showed that the structure of the AC enzyme does not contain any sequences indispensable for its translocation across target cell membrane. Moreover, replacement of the AC domain (residues 1 to 371) with heterologous polypeptides of 40, 146, or 203 residues yielded CyaAΔAC constructs that delivered passenger CTL epitopes into antigen-presenting cells (APCs) and induced strong antigen-specific CD8+ CTL responses in vivo in mice and ex vivo in human peripheral blood mononuclear cell cultures. This shows that the RTX (repeats in toxin) hemolysin moiety, consisting of residues 374 to 1706 of CyaA, harbors all structural information involved in translocation of the N-terminal AC domain across target cell membranes. These results decipher the extraordinary capacity of the AC domain of CyaA to transport large heterologous cargo polypeptides into the cytosol of CD11b+ target cells and pave the way for the construction of CyaAΔAC-based polyvalent immunotherapeutic T cell vaccines.
Human Gait Database for Normal Walk Collected by Smart Phone Accelerometer

The goal of this study is to introduce a comprehensive gait database of 93 human subjects who walked between two endpoints during two different sessions and record their gait data using two smartphones, one was attached to the right thigh and another one on the left side of the waist. This data is collected with the intention to be utilized by a deep learning-based method which requires enough time points. The metadata including age, gender, smoking, daily exercise time, height, and weight of an individual is recorded. this data set is publicly available.
On the Thermodynamical Black Hole Stability in the Space-Time of a Global Monopole in f(R)-Gravity

In this work, we re-assess a class of black hole solutions in a global monopole spacetime in the framework of an f(R)-gravity model. Our main line of investigation consists in considering a region close enough to the black hole, but such that the weak field approximation is still valid. The stability of the black hole is studied in terms of its thermodynamical properties, with the radial coordinate written as a power-law function with the status of the main factor underneath the stability of the model. We obtain the explicit expressions for the thermodynamical quantities of the black hole as functions of the event horizon, by considering both the Hawking and the local temperatures. The phase transitions that may occur in this system, including the Hawking-Page phase transition, are inspected with particular attention. We work out and contemplate a solution of special interest in which one of the parameters is related to the cosmological constant. Our main result sets out to establish a comparison between both the Hawking and the local formalisms for the black hole in the framework of the f(R)-gravity in the particular space-time adopted here.