Miracle-dz/UniFAR-FTUs huggingface dataset:
Connections and Abstractions: Blending Epistemologies of Love and Separation in Environmental Education

Understanding the epistemological dimension of the subject–object dichotomy is crucial for environmental learning. Contrasting the epistemologies of separation and love, Arthur Zajonc argues that learning is seriously limited unless we focus more attention on fostering deep connections of respect, love, and participation with the objects we study. Although an attitude of detachment and objectivity is sometimes appropriate, understanding such things as social justice and the environment demand an approach that softens the sharp dichotomy between knower and thing–to–be–known. While largely agreeing with Zajonc, we emphasize that the epistemologies of separation and love should not be seen as wholly distinct or unrelated. A deep understanding of ourselves and the world around us depends upon a shifting back and forth between these approaches, though this will, admittedly, not be susceptible to any strict set of methodological rules. Learning depends upon not only understanding how to use these two epistemologies, but, importantly, learning how to shift between them with ease. Furthermore, we suggest that Zajonc’s use of the dual concepts of the logic of discovery and of justification to illustrate his two epistemologies can be made more descriptively accurate and prescriptively useful by noticing that in the process of learning—of discovering—investigators can and do move fluidly between seeking detached objectivity and connectedness. We embrace a broad pedagogical approach to environmental education consistent with Zajonc’s view and that is place–based and multi– and trans– disciplinary. This includes a rejection of the priority of science over the humanities, a narrowing of the gap between knower and thing–to–be–known, and a move away from attempts to excessively abstract from particulars to generalities and laws.
lightr: import spectral data and metadata in R

Living organisms wildly differ in their ability to see colours (Osorio & Vorobyev, 2008). For this reason, colour science relies on the use of objective measurements of reflectance, transmittance, or aborbance spectra rather than human vision (Bennett, Cuthill, & Norris, 1994; Cuthill, Bennett, Partridge, & Maier, 1999; Eaton, 2005). These spectra are then used in vision models that allow scientists to predict how a given object is seen through the eyes of a given species (e.g., how a male bird is seen by a potential mate). This is the basis of all studies in for example the study of the evolution of colours of animals and plants as communication signals
Identifikasi Fake Account Twitter Menggunakan Support Vector Machine

Abstrak Penggunaan media sosial sebagai sarana untuk melakukan kampanye sudah menjadi hal yang biasa sejak kemunculan media sosial seperti twitter, facebook, dan instagram. Masyarakat yang menggunakan media sosial harus mendaftar dan memiliki akun media sosial tersebut, namun masih banyak masyarakat yang menggunakan akun palsu. Akun palsu ini dapat disalah gunakan seperti penggunaan akun palsu untuk membantu kampanye yang dapat menimbulkan bias politik terhadap pengguna media sosial lainnya, ataupun penggunaan akun palsu untuk meningkatkan popularitas dari seorang pemilik akun media sosial. Oleh karena itu, diperlukan suatu langkah penilitian pada tugas akhir ini untuk mendeteksi akun-akun palsu tersebut. Penelitian ini menggunakan Support Vector Machine (SVM) untuk mengidentifikasi akun palsu. Pengidentifikasian diawali dengan ekstraksi data kemudian labeling data hingga proses klasifikasi menggunakan SVM. Hasil dari identifikasi fake account ini menghasilkan nilai akurasi sebesar 93.42% dan f1-score sebesar 92.92% Kata kunci : Twitter, SVM, Follower Palsu, Akun Palsu Abstract The use of social media as a means to carry out campaigns has become commonplace since the emergence of social media such as Twitter, Facebook and Instagram. People who use social media must register and have a social media account, but there are still many people who use fake accounts. These fake accounts can be misused such as the use of fake accounts to help campaigns that can cause political bias against other social media users, or using fake accounts to increase popularity of someone social media account. Therefore, we need a research step in this thesis to detect these fake accounts. The research use Support Vector Machine (SVM) to identify fake accounts. Identification begins with data extraction then labeling the data to the classification process using SVM. The results of this fake account identification produce an accuracy value of 93.42% and f1-score of 92.92% Keyword : Twitter, SVM, Fake Followers, Fake Accounts
Towards Accurate Text Verbalization for ASR Based on Audio Alignment

Verbalization of non-lexical linguistic units plays an important role in language modeling for automatic speech recognition systems. Most verbalization methods require valuable resources such as ground truth, large training corpus and expert knowledge which are often unavailable. On the other hand a considerable amount of audio data along with its transcribed text are freely available on the Internet and could be utilized for the task of verbalization. This paper presents a methodology for accurate verbalization of audio transcriptions based on phone-level alignment between the transcriptions and their corresponding audio recordings. Comparing this approach to a more general rule-based verbalization method shows a significant improvement in ASR recognition of non-lexical units. In the process of evaluating this approach we also expose the indirect influence of verbalization accuracy on the quality of acoustic models trained on automatically derived speech corpora.
Place facets: a systematic literature review

ABSTRACT Place is a central concept in geography and a topic of interest in the social sciences, urban planning, architecture, and most recently in information science. The notion of place has therefore been studied with different foci of interest. Consequently, heterogeneous terminologies, conceptualizations, models, and ontologies have been proposed to capture this elusive concept. Yet these studies complement each other. Utilizing the concept of place facet as a particular type of information about place, in this review paper we bridge these multidisciplinary studies about place. We collect the different facets of place introduced in the literature and synthesize place characteristics by categorizing the identified facets. Finally, we discuss future directions for place-related research.
Hardware design of a scalable and fast 2-D hadamard transform for HEVC video encoder

This paper presents the hardware design of a 2-dimensional Hadamard transform used the in the rate distortion optimization module in state-of-the-art HEVC video encoder. The transform is mainly used to quickly determine optimum block size for encoding part of a video frame. The proposed design is both scalable and fast by 1) implementing a unified architecture for sizes 4x4 to 32x32, and 2) pipelining and feed through control that allows high performance for all block sizes. The design starts with high-level algorithmic loop unrolling optimization to determine suitable level of parallelism. Based on this, a suitable hardware architecture is devised using transpose memory buffer as pipeline memory for maximum performance. The design is synthesized and implemented on Xilinx Kintex Ultrascale FPGA. Results indicate variable performance obtained for different block sizes and higher operating frequency compared to a similar work in literature. The proposed design can be used as a hardware accelerator to speed up the rate distortion optimization operation in HEVC video encoders.
Predisposing, Enabling and Reinforcing Factors Associated with the Use of Reproductive Cancer Screening among Peruvian Women

Predisposing, Enabling and Reinforcing Factors Associated with the Use of Reproductive Cancer Screening among Peruvian Women Tara Kathleen Hayes Constant Chair of the Supervisory Committee: Annette L. Fitzpatrick, PhD Epidemiology Breast cancer is a major cause of death for women in Peru, and may soon surpass cervical cancer as the number one cause of cancer mortality among Peruvian women. Yet little is known about the determinants of reproductive cancer screening utilization in low and middle income countries. Data from a survey of risk factors for non-communicable diseases (FRENT), undertaken by the Ministry of Health in four Peruvian cities, was used to investigate variables representing three conceptual categories of barriers to obtaining mammograms, clinical breast exams, and pap smears based on a PRECEDE/PROCEED conceptual framework and previous qualitative work. Regression models revealed stress (predisposing), physician access and insurance (enabling), and marital status and previous child abuse (reinforcing) to be factors associated with screening, with some differences found across outcome and by age. Results provide evidence to direct interventions for increasing reproductive cancer screening in Peru.
A Novel approach to Separate Foreground Object from Background Image by Matting Technique

: An image often presumed to be a composite of foreground and also the background[1-4]. The foreground and also the background of every picture element are unendingly combined in terms of the of this picture element foreground capability (called alpha). Image matting[5,6] is that the methodology of approximation the foreground[7], the background and also the alpha of every picture element. Matting contains a matte (an opacity mask)[8] and separating the photographs in 2 layers. For each technological and business advances image matting is incredibly necessary. Recent advancement on digital cameras, victimisation matting technique to make novel composites different writing tasks has gained accumulating interest for each professionals and customers. In this work we have a tendency to gift a general kind answer to natural image matting.
Efficient Sparse-Group Bayesian Feature Selection for Gene Network Reconstruction

A gene regulatory network is a graphical model of the interplay between genes (respectively their proteins). For large networks with thousands of genes, the number of possible interactions or edges in the network is vast, while the actual number of true interactions is much smaller. This needs to be taken into account by methods which try to reconstruct gene networks from gene expression data. Under the general assumption of a Gaussian graphical model, this sparsity problems translates directly to the problem of estimating a sparse inverse covariance matrix or equivalently feature selection in regression. Here I will present and discuss the "neighborhood selection" approach by Meinshausen and Bühlmann (2006) and compare it to other alternatives. The talk will be followed by a summary of my PhD thesis entitled "Efficient Sparse-Group Bayesian Feature Selection for Gene Network Reconstruction". Die Disputation besteht aus dem o. g. Vortrag, danach der Vorstellung der Dissertation einschließlich jeweils anschließenden Aussprachen. Interessierte werden hiermit herzlich eingeladen Der Vorsitzende der Promotionskommission Prof. Dr. M. Vingron
Onlinebefragungen auf mobilen Endgeräten: Potentiale und Herausforderungen

Nutzungsbedingungen: Dieser Text wird unter einer Deposit-Lizenz (Keine Weiterverbreitung keine Bearbeitung) zur Verfügung gestellt. Gewährt wird ein nicht exklusives, nicht übertragbares, persönliches und beschränktes Recht auf Nutzung dieses Dokuments. Dieses Dokument ist ausschließlich für den persönlichen, nicht-kommerziellen Gebrauch bestimmt. Auf sämtlichen Kopien dieses Dokuments müssen alle Urheberrechtshinweise und sonstigen Hinweise auf gesetzlichen Schutz beibehalten werden. Sie dürfen dieses Dokument nicht in irgendeiner Weise abändern, noch dürfen Sie dieses Dokument für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, aufführen, vertreiben oder anderweitig nutzen. Mit der Verwendung dieses Dokuments erkennen Sie die Nutzungsbedingungen an. Terms of use: This document is made available under Deposit Licence (No Redistribution no modifications). We grant a non-exclusive, nontransferable, individual and limited right to using this document. This document is solely intended for your personal, noncommercial use. All of the copies of this documents must retain all copyright information and other information regarding legal protection. You are not allowed to alter this document in any way, to copy it for public or commercial purposes, to exhibit the document in public, to perform, distribute or otherwise use the document in public. By using this particular document, you accept the above-stated conditions of use.
Directions and features of application of the blockchain technology

The article presents the results of the study of the blockchain technology. The main barriers of technology implementation were identified and ways for their elimination were suggested. Advantages and disadvantages of the technology were identified. It allowed for studies of feasibility of technology implementation for performing social and economic infrastructure tasks. The issue of effective application of this technology was studied. In Russia, the blockchain technology has been discussed by the Government of the Russian Federation and the State Duma. Despite some advantages, only in some countries, the blockchain technology is used in business processes. The blockchain technology can be used to solve logistics problems, data security tasks, political, economic and medical problems.
Performance Evaluation of an Adaptive Forwarding Strategy in Named Data Networking

Named Data Networking (NDN) is an envisioned Internet architecture that uses named data to locate the data of interest as opposed to the IP address of the stored data. The forwarding strategy is critical in this network to ensure the data is well received in a timely manner. Stochastic Adaptive Forwarding (SAF) is said to have an increased throughput and provide quick recovery as it efficiently chooses the potential forwarding link whenever there is a failure on the existing link. SAF is designed to consider both the context and content of the networks to optimize its forwarding behavior. This paper compares the performance of SAF and Best Route algorithms, in terms of Interest satisfaction ratio, cache hit ratio, delay, Interest retransmission rate and hop count value. The results show SAF outperforms Best Route except for the hop count value.
Meta-Embedding Sentence Representation for Textual Similarity

Word embedding models are now widely used in most NLP applications. Despite their effectiveness, there is no clear evidence about the choice of the most appropriate model. It often depends on the nature of the task and on the quality and size of the used data sets. This remains true for bottom-up sentence embedding models. However, no straightforward investigation has been conducted so far. In this paper, we propose a systematic study of the impact of the main word embedding models on sentence representation. By contrasting in-domain and pre-trained embedding models, we show under which conditions they can be jointly used for bottom-up sentence embeddings. Finally, we propose the first bottom-up meta-embedding representation at the sentence level for textual similarity. Significant improvements are observed in several tasks including question-to-question similarity, paraphrasing and next utterance ranking.
Improving Contraceptive Method Choice and Use with a Computer-Based Contraceptive Assessment Module

Improving Contraceptive Method Choice and Use with a Computer-Based Contraceptive Assessment Module Samantha Garbers Unintended pregnancy [1] is prevalent and persistent in the United States [2-4], with significant public health costs [5-20]. Paralleling disparities in other reproductive health outcomes, some population subgroups are more likely to have an unintended pregnancy than others. Use of highly effective contraceptive methods can reduce unintended pregnancy rates [21-23]. Interventions to help those at highest risk of unintended pregnancy are of critical public health importance, yet few interventions have been found to significantly impact contraceptive method choice and use, and even fewer have been designed for populations with low educational attainment. The current dissertation research was designed to meet the need for interventions appropriate for women with low educational attainment, addressing a significant gap in the literature on interventions to improve contraceptive choice and use. A three-arm randomized controlled trial of a bilingual (Spanish/English) contraceptive assessment module using audio-computer-assisted self-interviewing technology and touchscreen computers was conducted from March 2008 – January 2011 among family planning patients seeking care at two federally-funded family planning clinics in New York City. The three-arm design was used to test separately the effect of the assessment module and the effect of tailored health materials: participants were randomized to complete the module and received health information materials tailored to their responses to the module questions (Intervention + Tailored); to complete the module and receive generic material (Intervention + Generic); or to a control condition (Control). Contraceptive method choice on the day of the family planning visit was the primary outcome. Follow-up analyses among a randomly-selected subset of patients examined secondary outcomes, including continuation and adherence to the chosen contraceptive method 4 months after the family planning visit.
Duration of Treatment of Gram-Negative Bacteremia: Are Shorter Courses of Antimicrobial Therapy Feasible?

BackgroundThe optimal duration of therapy for bloodstream infections due to Gram-negative bacteremia has been poorly defined. The objective of this study was to determine if short courses of antimicrobial therapy were noninferior to intermediate and long courses of antimicrobial therapy for Gram-negative bacteremia. MethodsWe reviewed medical records on patients with a documented Gram-negative bacteremia from August 2006 to November 2013. Patients meeting eligibility criteria were placed in the short-course, intermediate-course, and long-course treatment groups if their duration of antimicrobial therapy was less than or equal to 7 days, between 8 to 14 days, or greater than 14 days, respectively. The primary outcome was the achievement of a clinical response at the end of therapy. Secondary outcomes included achievement of microbiological cure at the end of therapy, and association of clinical response in each group with the causative organism, source of bacteremia, and time to defervescence. ResultsOf 406 cases of Gram-negative bacteremia, 178 cases met eligibility criteria. Median age was 64 years with 67% females. Median SAPS II (Simplified Acute Physiology Score II) was 33 points. The most common infecting pathogen was Escherichia coli (46%), followed by Klebsiella pneumoniae (22%). The most common source of bacteremia was the urinary tract (53%), followed by indwelling catheters (14%). Clinical response rates at the end of therapy were 78.6%, 89.0%, and 80.6% for the short-course, intermediate-course, and long-course treatment groups, respectively (P = 0.2). Microbiological cure rates at the end of therapy were 83.3%, 89.0%, and 91.7% for the short-course, intermediate-course, and long-course treatment groups, respectively (P = 0.7). Logistic regression analysis did not reveal any association of clinical response in each group with infecting organism (P = 0.4), source of bacteremia (P = 0.5), or time to defervescence (P = 0.6). ConclusionsShort-course therapy for Gram-negative bacteremia appears to achieve similar clinical response rates and microbiological cure rates compared with intermediate- and long-course therapy.
Mobilisation after Lower Limb Deep Vein Thrombosis and Post-ThromboticSyndrome

Deep vein thrombosis (DVT) is one of the commonest cardiovascular diseases, ranking third behind coronary artery disease and stroke [1]. Furthermore, it is one of the major causes for inhospital morbidity and mortality, leading to severe complications such as pulmonary embolism (PE), post-thrombotic syndrome (PTS) and even death [2]. Local damage to venous intima, venous stasis and hypercoagulability are major predisposing factors, and it is thought that two of these factors must be present for a DVT to develop [3].
Haptic-guided shared control for needle grasping optimization in minimally invasive robotic surgery

During suturing tasks performed with minimally invasive surgical robots, configuration singularities and joint limits often force surgeons to interrupt the task and re-grasp the needle using dual-arm movements. This yields an increased operator’s cognitive load, time-to-completion and performance degradation. In this paper, we propose a haptic-guided shared control method for grasping the needle with the Patient Side Manipulator (PSM) of the da Vinci robot avoiding such issues. We suggest a cost function consisting of (i) the distance from robot joint limits and (ii) the task-oriented manipulability along the suturing trajectory. Evaluating the cost and its gradient on the needle grasping manifold allows us to obtain the optimal grasping pose for joint-limit and singularity free robot movements during suturing. We compute force cues and display them through the Master Tool Manipulator (MTM) to guide the surgeon towards the optimal grasp. As such, our system helps the operator to choose a grasping configuration that allows the robot to avoid joint limits and singularities during post-grasp suturing movements. We show the effectiveness of the proposed haptic-guided shared control method during suturing using both simulated and real experiments. The results illustrate that our approach significantly improves the performance in terms of needle re-grasping.
High-Resolution All-Digital Transmit Beamformer for High-Frequency and Wearable Ultrasound Imaging Systems

In this article, we present a high delay resolution and all-digital transmit-beamforming circuit for use in high-frequency and wearable ultrasound imaging systems. The proposed transmit beamformer comprises an all-digital delay-locked loop (ADDLL), a cycle-based beamforming delay line (CBDL), and a pulse controller. ADDLL can provide specific digital control code for the CBDL to generate stable and suitable delays to excite array transducer elements without variations in process, voltage, and temperature. CBDL not only provides a finer delay resolution for high-frequency ultrasound imaging systems but also requires a few delay cells to maintain the duty cycle of long prorogation signals, thereby significantly reducing hardware costs. The pulse controller can adjust the number and width of output pulses to meet the requirements of different ultrasonic transducers and Doppler ultrasound color imaging. The proposed transmit beamformer uses a 0.18- $\mu \text{m}$ CMOS technology for a 30-MHz high-frequency linear array with 256 elements, and the focusing depth is from 3.5 to 8.1 mm. The measurement results indicate that the proposed transmit-beamforming design can achieve a maximum time delay of 562.6 ns with an average time resolution of 535 ps. The proposed design offers a smaller volume and finer delay resolution, and it is highly suitable for wearable ultrasound imaging systems.