Miracle-dz/UniFAR-FTUs huggingface dataset:
UBT Knowledge Center

Image classification application has recently been covering a high number of research fields. In the other hand as the performance of the mobile devices is being updated day by day, the implementation of image recognition algorithms in them, is not only being trendy but very helpful in everyday tasks. With the automatic monument recognition, visiting a city is easy and fun. This application recognizes the captured monument, gives useful information and describes that particular landmark. In this thesis there are used four historical monuments of the city of Prizren, Kosovo. The images where taken specially for the research from the different angles of the city and the dataset for the training and testing process has been created. Although these monuments differ from one another in the archaeological structure, the classification process is not an easy approach. Here will be presented an approach for the recognition of these particular monuments by using computer vision and machine learning methods on images. The image processing classification techniques and algorithms used in the literatures not only for the landmark recognition but overall the methods, will be described.
Radiocarbon dating in archaeology: Interdisciplinary aspects and consequences (an overview)

This paper is an overview of recent developments in the radiocarbon dating of the most frequently analyzed archaeological materials – wood, short-lived plants, and human and animal bones – and draws attention to two sets of consequences. Firstly, while radiocarbon dating has become more accessible to archaeologists thanks to an increase in the number of laboratories, a lowering of prices, and a reduction in sample sizes, it has also grown far more dependent on fields of research, other than the traditional chemical pretreatment of samples and the physics involved in their measurement, such as wood anatomy and other fields of botany, stable isotope-based diet studies, geochemistry, micromorphology, statistics, etc., most of which are not easily accessible by the vast majority of users of radiocarbon dating (and sometimes not familiar to practicing archaeologists). Secondly, given that, on the one hand, there is still much scope for research in radiocarbon dating and, on the other, archaeological sites are .
The effect of wind turbines alongside motorways on drivers’ behaviour

This paper presents the results of a first study aimed at investigating whether the presence of wind turbines in close proximity to motorways leads to behavioural adaptations among passing drivers. Empirical data from loop detectors and temporary video cameras were analysed in a study employing a before-and-after design at a site near Rotterdam, The Netherlands. Analyses of driving speed and standard deviation of speed (corrected for trend effects through the use of control sites) were performed as well as analyses of the lateral position and standard deviation of the lateral position and an observation of serious traffic conflicts. The results showed that constructing wind turbines alongside a motorway led to some clearly observable effects on drivers’ behaviour. The analyses of the speed data showed that the mean speed was lowered by 2.24km/h (corrected for trend effects) after the construction of the wind turbines while the standard deviation of the speed significantly increased. After the construction of the wind turbines, drivers took a lateral position somewhat more to the left-hand side in their driving lane. There was an indication close to the 0.05 significance level (p=0.057) that the standard deviation of the lateral position slightly increased when the rotor blades were in transversal position. In the before period as well as in the after period, no serious traffic conflicts were registered. The increase in standard deviation of speed and in lateral position are two factors that intrinsically can have an unfavourable effect on road safety. However, the observed order of magnitude of the change was shown to be quite limited. Earlier research suggests that negative effects on road safety are only expected for changes substantially greater than the ones that were observed in this study. On the other hand, there was a significant reduction in driving speed, which might have a favourable effect on the expected number and severity of crashes, although it could also be a compensatory mechanism that indirectly indicates a reduced driving performance. From these findings, it can be concluded that, based on the observed variables, no substantial negative effects for road safety were found in the present study. The authors recommend continuous monitoring and further research on the topic.
Non-Thermal and Thermal Processing of Fruit Products to Control Enzymatic Browning

Browning, an on-going problem of high economy impact to the fruit industry, is caused by polyphenoloxidase (PPO), fruits’ endogenous enzyme. With the increasing demand for high nutrients and ‘fresh-like’ fruit products, there is an interest to study non-thermal preservation technologies such as High Pressure Processing (HPP), ultrasound and pulsed electric fields (PEF). This research investigated the PPO inactivation in fruits by HPP, ultrasound, PEF and thermal processing. PPO inactivation kinetics was modeled for HPP, ultrasound and thermally treated pear, apple and strawberry purees. Additionally, quality assessments after processing and during storage were carried out for strawberry puree and apple juice. Room temperature HPP strawberry puree at 600 MPa for 5 min resulted in 35% PPO inactivation. When combining the same process with mild heat (40-60oC), a residual activity (RA) of 9-65% as opposed to 44-100% with exclusively thermal processing was obtained. Pear, apple and strawberry purees were HPP combined with mild heat up to 60 min. The pear PPO was found to be resistant even after 60 min at 600 MPa-71°C. HPP-thermal inactivation of apple and strawberry PPOs followed a biphasic first order kinetics exhibiting stable and labile fractions. Ultrasound processing (1.3 W/g, 32°C) for 10 min of pear, apple and strawberry purees significantly reduced PPO activity (25-58% RA). The PPO thermosonication (ultrasound combined with thermal) and thermal inactivation were successfully modeled with a simple first order kinetics. For processed strawberry puree and apple juice yielding ≤18% PPO residual activity, lower processing energy was observed for thermal treatment followed by HPP, ultrasound and PEF. Ultrasound and HPP resulted in better antioxidant activity (70-74%) than thermally treated
A tool to generate Test as a Web Service (TaaWS) Through a Method-Based Attribute Grammar (Technical Report)

Service-Oriented Architecture is a technology of designing software systems. By using this architecture new challenges appeared for software testing. Functional testing of services assures the quality of service-oriented applications. In this paper, we introduce a new test web service namely TaaWS (Test as a Web Service) combined of both online testing and testing as a service to overcome SOA testing challenges. Each web service can have its test web service. So the consumer can call TaaWS to assure the correctness of the web services used in the application. TaaWS consists of semantical and structural test cases extracted from the extended-attribute grammar of the web service called Method-Based Attribute Grammar (MBAG). MBAG is created in five steps that include defining the input/output variables, creating sections in the web method and applying rules to specify conditions and operations on the attributes. In addition, a new coverage criterion is introduced for applying on MBAG to extract test cases. Using TaaWS, we have applied semantical and structural test cases on the personalIDCode web method as a case study. In this Technical Report, we also introduce Sharif-TaaWS as a tool helped to automate our proposal. Sharif-TaaWS is a developed program automated MBAG generation steps, test cases and TaaWS creation. For the evaluation of TaaWS, other functional testing techniques have compared to our method by measuring the effectiveness of the test cases (ETC Value). This Value is shown that TaaWS has more ability to find faults than other techniques. We propose that TaaWS has advantages such as creating both semantical and structural test cases through extended-attribute grammar, detecting changes in web services, running regression tests and managing test results to inform the consumer. However, TaaWS has a drawback. The response time to the user may increase through calling TaaWS.
TECHNOLOGY OVERDOSE: EXPLORING OBSESSIVE WORK-RELATED EMAIL USE

Email (i.e., electronic mail) is a technology which has wrought deep changes in our lives, with both professional and personal impacts. Despite the far-reaching benefits provided by email, it has had negative ramifications. Problematic behaviors exist among some email users, who lose control over their work-related email use and are jeopardizing effectiveness and well being. Although email use has received considerable attention, our understanding of it based on research evidence is limited. This article attempts to examine obsessive work-related email use and proposes a conceptual model of the antecedents and consequences.
Data Poisoning Attacks on Off-Policy Policy Evaluation Methods (Supplementary Material)

Influence functions Influence function is a popular tool used to quantify the change in an empirically learned estimator with small changes in data. Consider a supervised learning problem with input space X and output space Y , a batch of data (z)i=1 where zi = (xi, yi) ∈ (X × Y ) and an unknown prediction function f : X → Y where f is parameterized by θ ∈ Θ. Given a convex and doubly differentiable loss function L(θ, z) such that L : Θ×X → R and θ ∈ argminθ′∈Θ 1 n ∑n i=1 L(θ ′, zi) is the empirical risk minimizer, then, the effect Iz,θ,D of perturbing a data point z→ zδ = (x+δ, y) on the parameter θ can be approximated via Taylor expansion as
11 DMap + : Interactive Visual Analysis and Exploration of Egocentric and Event-centric Information Diffusion Patterns in Social Media

ing with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. © 2018 Association for Computing Machinery. 2157-6904/2018/11-ART11 $15.00 https://doi.org/10.1145/3183347 ACM Transactions on Intelligent Systems and Technology, Vol. 10, No. 1, Article 11. Publication date: November 2018.
Mixture toxicity - single-substance testing to ecosystem effect assessment

This project investigated the usefulness of single-species laboratory tests and outdoor multiple-species mesocosms to improve the understanding of pesticide mixture effects on aquatic ecosystems. Results indicate that both approaches should be used in a complementary manner to develop a weight-of-evidence approach. Further, the integration of sublethal endpoints in pesticide monitoring could improve identification of environmentally realistic and low-level pesticide concentrations and potential detrimental effects on aquatic environments.
EMNLP 2014 The 2014 Conference on Empirical Methods In Natural Language Processing Workshop on Modeling Large Scale Social Interaction In Massively Open Online Courses

Data archeology is a theoreticallyinformed approach to make sense of the digital artifacts left behind by a prior learning “civilization. ” Critical elements include use of theoretical learning models to construct analytic metrics, attention to temporality as a means to reconstruct individual and collective trajectories, and consideration of the pedagogical and technological structures framing activity. Examples of the approach using discussion forum trace data will be presented.
Relationship between caries-affected dentin mineral density and microtensile bond strength

Recommended Citation Vaseenon, Savitri. "Relationship between caries-affected dentin mineral density and microtensile bond strength. " MS ii To mom, dad and Todd. iii ACKNOWLEDGMENTS I would like to express my sincerest thanks to my thesis supervisor, Dr. Steve Armstrong for his guidance and dedication. The research project for my thesis was extremely interesting and challenging for me and clinically relevant to my area of research interest. I was totally inspired and encouraged by Dr. Armstrong's intelligence and enthusiasm and I could not have accomplished this thesis project without his kind support, patience and guidance. Thank you Dr. Armstrong. I truly appreciate all that you have done for me. I would also like to acknowledge members of my thesis committee for their helpful advice and effort. Thanks to Dr. Hernandez for her kindness and suggestions on specimen preparation protocol for SEM analysis. Thanks to Associate Professor Saha for his great support in facilitating µCT and helpful advice in developing a protocol on specimen preparation for µCT scanning and BMD software for mineral density interpretation. Thanks to Dr. Qian for devoting her expertise and time in analyzing my pilot and thesis data. Thanks to Dr. Wefel for his valuable input on the thesis proposal and for providing HA crystal for the project. I could not have made it without Dr. Cobb's support, not only for this project but my life lessons. I am very pleased to express my gratitude to Dr. Denehy, Operative Chairman, for giving me an opportunity to be a part of the Operative Program at Iowa. Thanks to Operative faculty, staff, and graduate students for their support and hospitality. Thanks to iv effort with BMD software and for his helpful advice. I am so thankful for his support and laptop availability. I am very grateful to the following people for being a part of my achievement; Dr. and all my Thai friends for their significant support in every way and thanks to my lovely classmates, Karine and Carolina, for being so supportive throughout my entire study. Thanks to my colleagues from the Department of Restorative Dentistry, Chiang Mai University, for giving me an opportunity to pursue my advance study. Last but not least, I truly appreciate the immeasurable love and support from my mom, dad, and my husband. Without them, I would not have been here. Thank you all very much.
Caddisfly (Insecta: Trichoptera) fauna of Papuk Nature Park, Croatia

Adult caddisflies were collected in early summer and autumn in 2012 at various freshwater habitats within Papuk Nature Park. Caddisflies were collected using sweep nets and light traps at eight sampling sites. A total of 360 individuals belonging to 33 species, 24 genera and 11 families were recorded during the current study. A preliminary list of caddisfly species occurring in Papuk Nature Park is presented. Seven species collected are the first records for the caddisfly fauna of Croatia: Rhyacophila loxias, Rhyacophila nubila, Rhyacophila obliterata, Rhyacophila polonica, Wormaldia pulla, Diplectrona atra and Drusus schmidi. Some of these species were also hitherto not recorded within the ecoregion Hungarian lowlands (ER11). Additionally, the rare Beraea maurus was recorded for the first time in Croatia after the single finding in 1934.
ITAP: Idle-Time-Aware Power Management for GPU Execution Units

Graphics Processing Units (GPUs) are widely used as the accelerator of choice for applications with massively data-parallel tasks. However, recent studies show that GPUs suffer heavily from resource under-utilization, which, combined with their large static power consumption, imposes a significant power overhead. One of the most power-hungry components of a GPU, the execution units, frequently experience idleness when (1) an under-utilized warp is issued to the execution units, leading to partial lane idleness, and (2) there is no active warp to be issued for the execution due to warp stalls (e.g., waiting for memory access and synchronization). While large in total, the idle time of execution units actually comes from short but frequent stalls, leaving little potential for common power saving techniques, such as power-gating. In this paper, we propose a novel technique, called Idle-Time-Aware Power Management ( ITAP ), which aims to effectively reduce the static energy consumption of GPU execution units. By taking advantage of different power management techniques (i.e., power-gating and different levels of voltage scaling), ITAP employs three static power reduction modes with different overheads and capabilities of static power reduction. ITAP estimates the idle period length of execution units using prediction and peek-ahead techniques in a synergistic way and then, applies the most appropriate static power reduction mode based on the estimated idle period length. We design ITAP to be power-aggressive or performance-aggressive , not both at the same time. Our experimental results on several workloads show that the power-aggressive design of ITAP outperforms the state-of-the-art solution by an average of 27.6% in terms of static energy savings, with less than 2.1% performance overhead. On the other hand, the performance-aggressive design of ITAP improves the static energy savings by an average of 16.9%, while keeping the GPU performance almost unaffected (i
Ranking and Selection Techniques with Overlapping Variance Estimators for Simulations

Abstract Some ranking and selection (R&S) procedures for steady-state simulation require estimates of the asymptotic variance parameter of each system to guarantee a certain probability of correct selection. In this paper, we show that the performance of such R&S procedures depends highly on the quality of the variance estimates that are used. In fact, we study the performance of R&S procedures using three new variance estimators—overlapping area, overlapping Cramér–von Mises, and overlapping modified jackknifed Durbin–Watson estimators—that show better long-run performance than other estimators previously used in conjunction with R&S procedures for steady-state simulations.
Bad smells - humans as code critics

This work presents the results of an initial empirical study on the subjective evaluation of bad code smells, which identify poor structures in software. Based on a case study in a Finnish software product company, we make two contributions. First, we studied the evaluator effect when subjectively evaluating the existence of smells in code modules. We found that the use of smells for code evaluation purposes is hard due to conflicting perceptions of different evaluators. Second, we applied source code metrics for identifying three smells and compared these results to the subjective evaluations. Surprisingly, the metrics and smell evaluations did not correlate.
Robust Multi-variate Temporal (RMT) Features of Multi-variate Time Series

Many applications generate and/or consume multi-variate temporal data and experts oen lack the means to adequately and systematically search for and interpret multi-variate observations. In this paper, we rst observe that multi-variate time series oen carry localized multi-variate temporal features that are robust against noise. We then argue that these multi-variate temporal features can be extracted by simultaneously considering, at multiple scales, temporal characteristics of the time-series along with external knowledge, including variate relationships that are known a priori. Relying on these observations, we develop data models and algorithms to detect robust multi-variate temporal (RMT) features that can be indexed for ecient and accurate retrieval and can be used for supporting data exploration and analysis tasks. Experiments conrm that the proposed RMT algorithm is highly eective and ecient in identifying robust multi-scale temporal features of multi-variate time series. ACM Reference format: Sicong Liu, Silvestro Roberto Poccia, K. Selçuk Candan, Maria Luisa Sapino, and Xiaolan Wang. 2017. Robust Multi-variate Temporal (RMT) Features of Multi-variate Time Series. ACM Trans. Multimedia Comput. Commun. Appl. 1, 1, Article 1 (January 2017), 27 pages. DOI: 0000001.0000001
A Threshold of ln(n) for approximating set cover

1 The k-prover proof system • There is a single verifier V and k provers P1, P2, . , Pk. • Binary code with k codewords, each of length l and weight l 2 , with Hamming distance at least l 3 . • Each prover is associated with a codeword. • The Protocol: – The verifier selects l clauses C1, . , Cl, then selects a variable from each clause to form a set of distinguished variables x1, . xl. – Prover Pi receives Cj for those coordinates in its codeword that are 1, and xj for the coordinates that are 0, and replies with 2l bits. – The answer of the prover induces an assignment to the distinguished variables. – Acceptance predicate: ∗ Weak: at least one pair of provers is consistent. ∗ Strong: every pair of provers is consistent.
High-throughput genome scaffolding from in-vivo DNA interaction frequency

Despite advances in DNA-sequencing technology, assembly of complex genomes remains a major challenge, particularly for genomes sequenced using short reads, which yield highly fragmented assemblies. Here we show that genome-wide in vivo chromatin interaction frequency data, which are measurable with chromosome conformation capture–based experiments, can be used as genomic distance proxies to accurately position individual contigs without requiring any sequence overlap. We also use these data to construct approximate genome scaffolds de novo. Applying our approach to incomplete regions of the human genome, we predict the positions of 65 previously unplaced contigs, in agreement with alternative methods in 26/31 cases attempted in common. Our approach can theoretically bridge any gap size and should be applicable to any species for which global chromatin interaction data can be generated. Massive amounts of short DNA sequencing reads can be assembled into sets of small contigs but joining these contigs into scaffolds, a process known as scaffolding, is often difficult owing to the presence of repetitive sequences4,5. Improving the degree of completion of genome sequences typically relies on low-throughput methods such as FISH6–9 or BAC-based sequencing10. Although the advancement of sequencing technology is producing longer reads and thus increasing the size of contigs, recent assessments of genome assemblers11,12 show that complex genome assemblies which rely only on sequencing data, are still highly ambiguous and fragmented, owing to gap sizes beyond that of long-insert molecules. In fact, even in the human genome, despite the massive effort invested in its completion, approximately 30 Mb of euchromatic DNA remains unassembled9. Thus, high throughput sequencing and genome assembly technology have reached a point in which an increase in the number of short reads does not substantially improve assembly quality. Users may view, print, copy, download and text and datamine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature. com/authors/editorial_policies/license.html#terms Supplemental Material Supplemental Table S1. Predicted chromosome and locus for 65 unplaced human contigs. Supplemental Table S2. De novo scaffolding statistics for large-gap scenarios. Supplemental Table S3. De novo scaffolding statistics for real contig set. Supplemental Figure S2. De-novo chromosome scaffolding with interaction frequencies for chromosomes 1 and 5. Shown are the scaled predicted positions and ranks of predicted positions for all chromosomes, as in Figure 4. HHS Public Access Author manuscript Nat Biotechnol. Author manuscript; available in PMC 2014 June 01. Published in final edited form as: Nat Biotechnol. 2013 December ; 31(12): 1143–1147. doi:10.1038/nbt.2768. A uhor M anscript