Miracle-dz/UniFAR-FTUs huggingface dataset:
Use of Regenerating Clearcuts by Mature-Forest Birds during the Post-Breeding Period

ii Acknowledgments. vi Vita . vii List of Tables . xii List of Figures . xiii Chapters: Chapter 1: Introduction . 1 Objectives and Hypotheses . 3 Literature Review. 4 Post-breeding Movements . 4 Habitat Structure . 11 Early Successional Habitats . 13 Rationale and Significance . 17 Literature Cited . 18 Chapter 2: Post-breeding mature-forest bird habitat use of regenerating clearcuts . 38 Abstract . 38 Introduction . 39 Methods. 42 Study Area . 42 Net Placement . 44 Fruit Sampling . 45 Vegetation Sampling . 45 Data Analysis . 46 Results . 47 Discussion . 49 x Literature Cited . 56 Chapter 3: Area and edge effects on post-breeding mature-forest birds . 69 Abstract . 69 Introduction . 70 Methods. 74 Study Area . 74 Net Placement . 75 Microhabitat Sampling. 76 Data Analysis . 78 Results . 79 Discussion . 81 Management Implications . 84 Literature Cited . 86 APPENDICES APPENDIX A. Location of regenerating clearcut sites within Athens, Vinton, Gallia, and Jackson counties, Ohio, USA . 98 APPENDIX B. Location, size, and year of cut of 12 mist-netting sites in regenerating clearcuts in southeast Ohio, USA . 99 APPENDIX C. Systematic placement of mist-nets at 12 regenerating clearcuts. Within each site, 3 net lanes were established perpendicular to a common matureforest edge. Each lane consisted of a net 20, 50, and 80 m away from the matureforest edge with the distance to any other edge at least 70 m. All sites were surrounded by mature-forest and each mist-net was situated parallel to the matureforest edge . 100 APPENDIX D. Number of captures of post-breeding mature-forest birds in 8 and 12 regenerating clearcuts in southeast Ohio in 2002 and 2003, respectively . 101 APPENDIX E. Number of captures of post-breeding mature-forest species by site in 8 regenerating clearcuts in Southeast Ohio in 2002 . 102 APPENDIX F. Number of captures of post-breeding mature-forest species by site in 12 regenerating clearcuts in Southeast Ohio in 2003 . 103 APPENDIX G. The mean mass and mass/wing chord ratio by site for Ovenbird, Worm-eating Warbler, and Red-eyed Vireo in southeastern Ohio in 2002 and 2003 . 104 APPENDIX H. The mean mass and mass/wing chord ratio by site for Hooded xi Warbler, Scarlet Tanager, and Wood Thrush in southeastern Ohio in 2002 and 2003 . 105 APPENDIX I. The mean mass and mass/wing ratio of the 6 species of interest in small (4-9 ha) and large (13-18 ha) regenerating clearcut stands in southeast Ohio in 2002 and 2003 . 106 Bibliography . 107
Backlash Compensation in Discrete Time Nonlinear Systems Using Dynamic Inversion by Neural Networks : A preliminary approach

A dynamics inversion compensation scheme is designed for control of nonlinear discretetime systems with input backlash. The compensator uses the dynamic inversion technique, with a neural network (NN) for inverting the backlash nonlinearity in the feedforward path. The technique provides a general procedure for using NN to determine the dynamics preinverse of an invertible discrete time dynamical system. A discrete-time tuning algorithm is given for the NN weights so that the backlash compensation scheme becomes adaptive, guaranteeing bounded tracking and backlash errors, and also bounded parameter estimates. A rigorous proof of stability and performance is given and a simulation example verifies performance. Unlike standard discrete-time adaptive control techniques, no certainty equivalence (CE) assumption is needed.
Location Name Extraction from Targeted Text Streams using Gaze eer-based Statistical Language Models

Extracting location names from informal and unstructured texts requires the identi cation of referent boundaries and partitioning of compound names in the presence of variation in location referents. Instead of analyzing semantic, syntactic, and/or orthographic features, our Location Name Extraction tool (LNEx) exploits a region-speci c statistical language model to evaluate an observed n-gram in Twitter targeted text as a legitimate location name variant. LNEx handles abbreviations, and automatically lters and augments the location names in gazetteers from OpenStreetMap, Geonames, and DBpedia. Consistent with Carroll [4], LNEx addresses two kinds of location name contractions: category ellipsis and location ellipsis, which produces alternate name forms of location names (i.e., Nameheads of location names). The modi ed gazetteers and dictionaries of abbreviations help detect the boundaries of multi-word location names delimiting them in texts using n-gram statistics. We evaluated the extent to which using an augmented and ltered region-speci c gazetteer can successfully extract location names from a targeted text stream. We used 4,500 event-speci c tweets from three targeted streams of di erent ooding disasters to compare LNEx performance against eight state-of-the-art taggers. LNEx improved the average F-Score by 98-145% outperforming these taggers convincingly on the three manually annotated Twitter streams. Furthermore, LNEx is capable of stream processing.1
User Study-based Models of Game Player Quality of Experience with Frame Display Time Variation

Computer games are often rendered with inconsistent frame timing (frame jitter), particularly in cloud-based game streaming where frames traverse network bottlenecks before being rendered. While previous studies have helped understand the Quality of Experience (QoE) with frame jitter, derived models have tended to be limited in their prediction ability for conditions not yet tested. This paper combines results from four different user studies that assess QoE based on frame jitter, the studies differing in games, game systems, and methods of induced frame time variation. Analysis of the results shows the degree to which frame jitter degrades QoE
Factors of Regional Development in Russia: Geography, Human Capital and Regional Policies

The Russian regions vary significantly in terms of the level and dynamics of social and economic development, which is primarily due to differences in the availability of natural resources. However, a number of regions managed to improve their position relative to the others since 1998, without hydrocarbon reserves: Leningrad, Kaliningrad, Belgorod, Tambov, Kaluga, Rostov regions, etc. The purpose is to identify and summarize the factors of regional development in Russia in 1998-2014, based on the analysis of successful examples and econometric methods. The first nature factors (favourable geographical position, availability of raw materials and agro-climatic conditions) determine development but to realize its potential regional authorities reduced investment risks and used human capital. Since 1998-2004, in addition to the raw materials extracting centres, the regions that actively attracted investments by using the benefi ts of a large market and remaining production assets (Moscow, St. Petersburg, Leningrad, Omsk, Tomsk, Novosibirsk and Khabarovsk regions) were in the lead. In 2005-2008 a number of successful regions (Moscow, St. Petersburg, Tatarstan, Sverdlovsk, Rostov, Novosibirsk, Perm regions) use human capital and technologies of large cities to develop knowledge-intensive services, and attract investors by reducing risks for business (Leningrad, Kaliningrad, Kaluga regions). In the post-crisis period 2009-2014, advantage was given to diversi- fi ed regions with developed agro-industrial complex (Belgorod, Voronezh, Tambov regions), processing industries (Sverdlovsk, Perm, Krasnoyarsk regions), with good institutional conditions (St. Petersburg, Kaluga, Samara regions, Tatarstan). We used the results to propose some recommendations for the regional policy: development of infrastructure, reduction of investment barriers, preservation and attraction of human capital to large cities.
Oscillations: Composing a Performance Ecosystem through a Sonic Cyberfeminist Lens

The audiovisual installation Oscillations, turns irons and ironing boards into electronic instruments, in an attempt to deconstruct stereotypical ideas of gender and its assigned roles. The project aims to investigate the relationships we have with domestic objects, and ponder their structures and significance through the design and performance of an interactive ecosystem. The project uses a sonic cyberfeminisms lens to critically explore aesthetic and relational hierarchies at the intersection of sound, gender and technology. Three irons and ironing boards have been hacked and retrofitted with embedded electronic instruments that together create a complex feedback network. While the audience is invited to physically interact with the iron instruments and manipulate samples, the sonic state of the installation also changes based on the audio information detected in the environment.
Seismic Deformation of Himalayan Glaciers Using Synthetic Aperture Radar Interferometry

The Himalayan belt, formed due to Cenozoic convergence between the Eurasia and Indian craton, acts as a 10 storehouse of large amounts of strain that results in large earthquakes that occur from the western to the eastern Himalayas. Glaciers also occur over a major portion of the high-altitude Himalayan region. In this study, we attempt to understand the impact of earthquakes on and around Himalayan glaciers in terms of vertical deformation and coherence change. Eight earthquake events of various magnitudes and hypocenter depths occurring in the vicinity of Himalayan glacial bodies have been analyzed using C-band Sentinel1-A/B synthetic aperture radar (SAR). Differential interferometric SAR (DInSAR) 15 method is applied to the pre-and co-seismic single look complex (SLC) SAR imagery to capture glacial surface deformation potentially related to earthquake occurrence. The influence radius of each earthquake (Mw>4.5) is defined using shake maps. For the lower magnitude earthquakes (Mw<4.5), influence radii are computed using the linear relationship between influence radii and magnitudes of past earthquakes. The mean glacial displacement varies from -38.9 mm to -5.4 mm for the 2020 Tibet earthquake (Mw 5.7) and the 2021 Nepal earthquake (Mw 4.1). However, small glacial and ground patches processed 20 separately for vertical displacements reveal that the glacial mass shows much greater seismic displacement than the ground surface. This indicates potential site-specific seismicity amplification properties of glacial bodies that need additional studies. Reduction in co-seismic coherence around the glaciers is observed in some cases, indicative of possible changes in the glacial moraine deposits and/or vegetation cover. The effect of two different seismic events (the 2020 and 2021 Nepal earthquakes) with different hypocenter depths but the same magnitude at almost equal distances from the glaciers is assessed; a shallow 25 earthquake is observed to result in a larger impact on glacial bodies in terms of vertical displacement. Earthquakes may induce glacial hazards such as glacial surging, ice-avalanches and failure of moraine-/ice-dammed glacial lakes. This research can assist in identifying areas at risk and provide valuable insights for planning and implementing measures for disaster risk reduction in the near future.
This paper is included in the Proceedings of the 22nd USENIX Conference on File and Storage Technologies.

We introduce I ONIA , a novel replication protocol tailored for modern SSD-based write-optimized key-value (WO-KV) stores. Unlike existing replication approaches, I ONIA carefully exploits the unique characteristics of SSD-based WO-KV stores. First, it exploits their interface characteristics to defer parallel execution to the background, enabling high-throughput yet one round trip (RTT) writes. I ONIA also exploits SSD-based KV-stores’ performance characteristics to scalably read at any replica without enforcing writes to all replicas, thus providing scalability without compromising write availability; further, it does so while completing most reads in 1RTT. I ONIA is the ﬁrst protocol to achieve these properties, and it does so through its storage-aware design. We evaluate I ONIA extensively to show that it achieves the above properties under a variety of workloads.
CS 237B: Principles of Robot Autonomy II Problem Set 4: Human-Robot Interaction Due March 15th 11:59PM

Starter code for this problem set has been made available online through github; to get started download the code by running git clone https://github.com/PrinciplesofRobotAutonomy/CS237B_HW4. git. You will submit your homework to Gradescope. Your submission will consist of (1) a single pdf with your answers for written questions (denoted by the symbol) and (2) a zip folder containing your code for the programming questions (denoted by the symbol). Also include the policies folder in your submission. Remember, your written part must be typeset (e.g., LATEXor Word).
CS 237B: Principles of Robot Autonomy II Problem Set 1: Learning-based Perception and Control Due Jan 29th 11:59PM

Starter code for this problem set has been made available online through github; to get started download the code by running git clone https://github.com/PrinciplesofRobotAutonomy/CS237B_HW1. git in a terminal window. You will submit your homework to Gradescope. Your submission will consist of (1) a single pdf with your answers for written questions (denoted by the symbol) and (2) a zip folder containing your code for the programming questions (denoted by the symbol). Remember, your written part must be typeset (e.g., LATEXor Word).
Connection Scheduling in Web Servers

Under high loads, a Web server may be servicing many hundreds of connections concurrently. In traditional Web servers, the question of the order in which concurrent connections are serviced has been left to the operating system. In this paper we ask whether servers might provide better service by using non-traditional service ordering. In particular, for the case when a Web server is serving static les, we examine the costs and bene ts of a policy that gives preferential service to short connections. We start by assessing the scheduling behavior of a commonly used server (Apache running on Linux) with respect to connection size and show that it does not appear to provide preferential service to short connections. We then examine the potential performance improvements of a policy that does favor short connections (shortest-connectionrst). We show that mean response time can be improved by factors of four or ve under shortest-connectionrst, as compared to an (Apache-like) size-independent policy. Finally we assess the costs of shortest-connectionrst scheduling in terms of unfairness (i.e., the degree to which long connections su er). We show that under shortest-connectionrst scheduling, long connections pay very little penalty. This surprising result can be understood as a consequence of heavytailed Web server workloads, in which most connections are small, but most server load is due to the few large connections. We support this explanation using analysis.
Laser-Induced Breakdown Spectroscopy (LIBS) on Geological Samples: Compositional Differentiation

LIBS is a developing analytical technique, which is used to perform qualitative and semi-quantitative elemental analysis of materials (solid, liquid and gas). Recently LIBS became an attractive technique to be used for geological samples, due to its advantages such as fast data collection and the lack of sample preparation. This study is done to improve analytical methods for geochemical analysis of samples during different exploration phases (Mining, filed analysis, etc.), to be used in the future as a real-time analysis method to save money and time spent in labs. In this work, LIBS has been used to differentiate between some geological samples gathered from different areas: South Africa and Namibia. Using principal component analysis (PCA), it was found that LIBS was able to differentiate between the samples even those of the same area. The results from the LIBS technique were correlated with subsequent analysis of the same samples by Particle-Induced X-ray emission (PIXE).
Metrics for Broadband Networks in the Context of the Digital Economies

In a transition to automated digital management of broadband networks, communication service providers must look for new metrics to monitor these networks. Complete metrics frameworks are already emerging whereas majority of the new metrics are being proposed in technical papers. Considering common metrics for broadband networks and related technologies, this chapter offers insights into what metrics are available, and also suggests active areas of research. The broadband networks being a key component of the digital ecosystems are also an enabler to many other digital technologies and services. Reviewing first the metrics for computing systems, websites and digital platforms, the chapter focus then shifts to the most important technical and business metrics which are used for broadband networks. The demand-side and supply-side metrics including the key metrics of broadband speed and broadband availability are touched on. After outlining the broadband metrics which have been standardized and the metrics for measuring Internet traffic, the most commonly used metrics for broadband networks are surveyed in five categories: energy and power metrics, quality of service, quality of experience, security metrics, and robustness and resilience metrics. The chapter concludes with a discussion on machine learning, big data and the associated metrics.
Edinburgh Research Explorer TeMoCo-Doc

A common task in a number of application areas is to create textual documents based on recorded audio data. Visualizations designed to support such tasks require linking temporal audio data with contextual data contained in the resulting documents. In this paper, we present a tool for the visualization of temporal and contextual links between recorded dialogues and their summary documents.
Examining the Relationship Among Service Recovery, Affective Examining the Relationship Among Service Recovery, Affective Commitment, Calculative Commitment, And Trust for E-Travel Commitment, Calculative Commitment, And Trust for E-Travel Retailers Retailers

There is a gap in the literature with respect to studies that examined the importance of service recovery for Generation Y customers in an online travel context. This study examines various dimensions of commitment important to the development and maintenance of enduring relationships with Generation Y. The theoretical foundations for this study are based on social exchange theory, commitment-trust theory, and organizational commitment theory. The results of the study shows that affective commitment and trust are the most important constructs for building long-term relationships following service recovery; on the other hand, calculative commitment had negative impact on trust. The implications of these findings for both research and practitioners are discussed in the final section of the study.
Communications of the Association for Information Systems

The success of open source applications such as Apache, Linux, and Sendmail spurred interest in this form of software, its development process, and its implication for the software industry. This interest is evident in the existing research being done to address various issues relevant to open source software and open source methodology. This paper proposes a research classification framework that:
Exploring passenger rail markets using new station catchment size and shape metrics

ABSTRACT This paper presents a novel spatial market segmentation method to determine key user groups of a train station (such as gender, age and access mode), based on the size and shape of the station catchment area of each group. Two new indices – area ratio and composite ratio – are developed to quantify the importance of user groups for a train station. This method is applied to identify key user groups at seven train stations in Perth, Western Australia. The study offers a new way to explore the travel behaviour of train users and provides insights for rail transport planning and marketing.
Testing the analytical performance of handheld XRF using marine sediments of IODP Expedition 355

Abstract Obtaining geochemical profiles using X-ray fluorescent (XRF) techniques has become a standard procedure in many sediment core studies. The resulting datasets are not only important tools for palaeoclimatic and palaeoceanographic reconstructions, but also for stratigraphic correlation. The International Ocean Discovery Program (IODP) has therefore recently introduced shipboard application of a handheld XRF device, making geochemical data directly available to the science party. In all XRF scanning techniques, the physical properties of wet core halves cause substantial analytical deviations. In order to obtain estimates of element concentrations (e.g. for quantitative analyses of fluxes or mass-balance calculations), a calibration of the scanning data is required. We test whether results from the handheld XRF analysis on discrete samples are suitable for calibrating scanning data. Log-ratios with Ca as a common denominator were calculated. The comparison between the handheld device and conventional measurements show that the latter provide high-quality data describing Al, Si, K, Ca, Ti, Mn, Fe, Zn, Rb and Sr content (R2 compared with conventional measurements: ln(Al/Ca) = 0.99, ln(Si/Ca) = 0.98, ln(K/Ca) = 0.99, ln(Ti/Ca) = 0.99, ln(Mn/Ca) = 0.99, ln(Fe/Ca) = 0.99, ln(Zn/Ca) = 0.99 and ln(Sr/Ca) = 0.99). Our results imply that discrete measurements using the shipboard handheld analyser are suitable for the calibration of XRF scanning data. Our test was performed on downcore sediments from IODP Expedition 355 that display a wide variety of lithologies of both terrestrial and marine origin. The implication is that our findings are valid on a general scale and that shipboard handheld XRF analysis on discrete samples should be used for calibrating XRF scanning data.
Integrating artificial intelligence and adult dental age estimation in forensic identification: A literature review

Age estimation is crucial in various forensic fields, including forensic medicine, anthropology, and demographic studies. Adult dental age estimation is affected by multiple factors, resulting in discrepancies between dental age and chronological age. The development of artificial intelligence (AI) technology has led to extensive investigations in forensic sciences, encompassing several areas such as facial recognition, age, sex identification, and DNA analysis. Adult age estimation methods commonly used include the pulp-tooth ratio approach, the Harris & Nortje method, and the Van Heerden method. AI approaches such as Fuzzy Logic (FL), Evolutionary Computing (EC), and Machine Learning (ML) are being extensively applied. These techniques use algorithms to imitate human thinking and behavior. Deep learning techniques, explicitly using deep convolutional neural networks (DCNN), enable age estimation by segmenting images and making measurements, replicating the cognitive processes of radiologists when computing indices such as the third molar maturity (I3M) index. Also, DCNNs automatically optimize teeth segmentation in dental X-ray images, improving image refining and analysis efficiency. AI integration in forensic dentistry improves the precision and effectiveness of dental data processing while significantly accelerating individual identification procedures. Incorporating this technology shows potential for enhancing the caliber and dependability of evidence in forensic investigations.