Miracle-dz/UniFAR-FTUs huggingface dataset:
TouchVR: a Wearable Haptic Interface for VR Aimed at Delivering Multi-modal Stimuli at the User’s Palm

TouchVR is a novel wearable haptic interface which can deliver multimodal tactile stimuli on the palm by DeltaTouch haptic display and vibrotactile feedback on the fingertips by vibration motors for the Virtual Reality (VR) user. DeltaTouch display is capable of generating 3D force vector at the contact point and presenting multimodal tactile sensation of weight, slippage, encounter, softness, and texture. The VR system consists of HTC Vive Pro base stations, head-mounted display (HMD), and Leap Motion controller for tracking the user’s hand motion. The MatrixTouch, BallFeel, RoboX, and AnimalFeel applications have been developed to demonstrate the capabilities of the proposed technology. A novel haptic interface can potentially bring a new level of immersion of the user in VR and make it more interactive and tangible.
Agriculture, food security, nutrition and the millennium development goals

". Today, 1.1 billion people live on less than one US dollar per day (the internationally recognized poverty threshold)—430 million in South Asia, 325 million in Sub-Saharan Africa, 260 million in East Asia and the Pacific, and 55 million in Latin America. Too many children live lives characterized by hunger and illness, and all too often succumb to early death. Moreover, another 1.6 billion people live on between one and two dollars per day, often sliding temporarily below the one dollar per day threshold. To enable all these people to live in dignity, the eight goals to achieve by 2015 are: 1. Eradicate extreme poverty and hunger 2. Achieve universal primary education 3. Promote gender equality and empower women 4. Reduce child mortality 5. Improve maternal health 6. Combat HIV/AIDS, malaria, and other diseases 7. Ensure environmental sustainability 8. Develop a global partnership for development. " from Text
Implementing geometric complexity theory: on the separation of orbit closures via symmetries

Understanding the difference between group orbits and their closures is a key difficulty in geometric complexity theory (GCT): While the GCT program is set up to separate certain orbit closures (i.e., prove non-containment of one orbit closure in the other), many beautiful mathematical properties are only known for the group orbits, in particular close relations with symmetry groups and invariant spaces, while the orbit closures seem much more difficult to understand. However, in order to prove lower bounds in algebraic complexity theory, considering group orbits is not enough. In this paper we tighten the relationship between the orbit of the power sum polynomial and its closure, so that we can separate this orbit closure from the orbit closure of the product of variables by just considering the symmetry groups of both polynomials and their representation theoretic decomposition coefficients. In a natural way our construction yields a multiplicity obstruction that is neither an occurrence obstruction, nor a so-called vanishing ideal occurrence obstruction. All multiplicity obstructions so far have been of one of these two types. Our paper is the first implementation of the ambitious approach that was originally suggested in the first papers on geometric complexity theory by Mulmuley and Sohoni (SIAM J Comput 2001, 2008): Before our paper, all existence proofs of obstructions only took into account the symmetry group of one of the two polynomials (or tensors) that were to be separated. In our paper the multiplicity obstruction is obtained by comparing the representation theoretic decomposition coefficients of both symmetry groups. Our proof uses a semi-explicit description of the coordinate ring of the orbit closure of the power sum polynomial in terms of Young tableaux, which enables its comparison to the coordinate ring of the orbit.
Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection

Fake news has altered society in negative ways in politics and culture. It has adversely affected both online social network systems as well as offline communities and conversations. Using automatic machine learning classification models is an efficient way to combat the widespread dissemination of fake news. However, a lack of effective, comprehensive datasets has been a problem for fake news research and detection model development. Prior fake news datasets do not provide multimodal text and image data, metadata, comment data, and fine-grained fake news categorization at the scale and breadth of our dataset. We present Fakeddit, a novel multimodal dataset consisting of over 1 million samples from multiple categories of fake news. After being processed through several stages of review, the samples are labeled according to 2-way, 3-way, and 6-way classification categories through distant supervision. We construct hybrid text+image models and perform extensive experiments for multiple variations of classification, demonstrating the importance of the novel aspect of multimodality and fine-grained classification unique to Fakeddit.
Tilburg University Keynes and the logic of econometric method

This paper analyzes the controversy between Keynes and Tinbergen on econometric testing of business cycle theories. In his writings, Keynes repeatedly emphasizes a ‘logical’ objection to Tinbergen’s work. It is clarified what exactly this logical objection is, and why it matters for a statistical analysis of investment. Keynes’ arguments can be traced back to his Treatise on Probability, where the ‘principle of limited independent variety’ is introduced as the basic requirement for probabilistic inference. This requirement is not satisfied in case of investment, where expectations are complex determinants. Multiple correlation, sometimes thought to take care of required ceteris paribus clauses, does not help to counter Keynes’ critique.
Two-Headed Monster and Crossed Co-Attention Networks

This paper investigates a new co-attention mechanism in neural transduction models for machine translation tasks. We propose a paradigm, termed Two-Headed Monster (THM), which consists of two symmetric encoder modules and one decoder module connected with co-attention. As a specific and concrete implementation of THM, Crossed Co-Attention Networks (CCNs) are designed based on the Transformer model. We test CCNs on WMT 2014 EN-DE and WMT 2016 EN-FI translation tasks and show both advantages and disadvantages of the proposed method. Our model outperforms the strong Transformer baseline by 0.51 (big) and 0.74 (base) BLEU points on EN-DE and by 0.17 (big) and 0.47 (base) BLEU points on EN-FI but the epoch time increases by circa 75%.
Nonconvex Low-Rank Symmetric Tensor Completion from Noisy Data

We study a noisy symmetric tensor completion problem of broad practical interest, namely, the reconstruction of a low-rank symmetric tensor from highly incomplete and randomly corrupted observations of its entries. While a variety of prior work has been dedicated to this problem, prior algorithms either are computationally too expensive for large-scale applications, or come with sub-optimal statistical guarantees. Focusing on "incoherent" and well-conditioned tensors of a constant CP rank, we propose a two-stage nonconvex algorithm --- (vanilla) gradient descent following a rough initialization --- that achieves the best of both worlds. Specifically, the proposed nonconvex algorithm faithfully completes the tensor and retrieves all individual tensor factors within nearly linear time, while at the same time enjoying near-optimal statistical guarantees (i.e. minimal sample complexity and optimal estimation accuracy). The estimation errors are evenly spread out across all entries, thus achieving optimal $\ell_{\infty}$ statistical accuracy. The insight conveyed through our analysis of nonconvex optimization might have implications for other tensor estimation problems.
On technology neutral policies for e–identity: a critical reflection based on UK identity policy

This paper reviews the arguments for technology neutral e–identity policies. It uses the recent experience of identity policy in the UK, as well as a consideration of technological developments, to distinguish between two perspectives on technology neutral policies: legal and technological. Whilst the legal perspective on technology neutrality is intended to provide legal certainty, it fails to address discontinuous technological developments such as zero–knowledge systems and risk based assessments of identity and attribute claims. These are transforming the basis of identity policies and highlight the challenges of proposing technology neutral identity policies in law. The paper then applies the technological critique of technology neutrality to review a recent study on identity, authentication and signature policy in the EU.
Power System Problems in Teaching Control Theory on Simulink

This experiment demonstrates to engineering students that control system and power system theory are not orthogonal, but highly interrelated. It introduces a real-world power system problem to enhance time domain State Space Modelling (SSM) skills of students. It also shows how power quality is affected with real-world scenarios. Power system was modeled in State Space by following its circuit topology in a bottom-up fashion. At two different time instances of the power generator sinusoidal wave, the transmission line was switched on. Fourier transform was used to analyze resulting line currents. It validated the harmonic components, as expected, from power system theory. Students understood the effects of switching transients at various times on supply voltage sinusoid within control theory and learned time domain analysis. They were surveyed to gauge their perception of the project. Results from a before/after assessment analyzed using T-Tests showed a statistically significant enhanced learning in SSM.
Critical Turns in the Evolution of Diversity Management

This paper seeks to extend and invigorate existing critiques of the aims and claims of diversity management. Four overlapping turns – demographic, political, economic and critical – akin to the broader and critical ‘turns’ in the humanities and social sciences are identified. When existing critiques are reconsidered through the framework offered by these four turns, then diversity management can be seen to: perpetuate rather than combat inequalities in the workplace; diminish the legacy of discrimination against historically repressed minorities in the workplace; continue to prescribe essentialist categories of difference and present problematic dualisms for effecting organizational change.
Loyalty Created in a High Involvement Product Category

The research aims at revealing consumers’ loyalty to a high involvement product category, connected to a loyalty membership club. Hence, the study aims at explaining similarities and differences between two markets, differently developed in terms of loyalty clubs. The study used IKEA, its loyalty club IKEA FAMILY and women as the company’s main target group, in a case format to study loyalty membership clubs. Further, the research has an investigating and explanatory qualitative approach, gathering the empirical data through observations and in-depth telephone interviews. Existing theories within shopping behaviour, decision making, involvement and loyalty were used as a foundation for validating empirical data as well as development of future theory. In order to collect the empirical data needed, observations and in-depth interviews were conducted with six women in two different consumer markets where loyalty membership clubs are connected to a high involvement product category. The research indicates that existing theories may to some extent explain the loyalty created towards a high involvement product category, connected to a loyalty program on a market where loyalty memberships are rare. Thus, in order to describe the same phenomenon on markets with different characteristics the theories have been modified and may function as a springboard for future research.
Rethinking Self-Attention: An Interpretable Self-Attentive Encoder-Decoder Parser

Attention mechanisms have improved the performance of NLP tasks while providing for appearance of model interpretability. Self-attention is currently widely used in NLP models, however it is difficult to interpret due to the numerous attention distributions. We hypothesize that model representations can benefit from label-specific information, while facilitating interpretation of predictions. We introduce the Label Attention Layer: a new form of self-attention where attention heads represent labels. We validate our hypothesis by running experiments in constituency and dependency parsing and show our new model obtains new state-of-the-art results for both tasks on the English Penn Treebank. Our neural parser obtains 96.34 F1 score for constituency parsing, and 97.33 UAS and 96.29 LAS for dependency parsing. Additionally, our model requires fewer layers, therefore, fewer parameters compared to existing work.
Existence and concentration of solutions for Kirchhoff-type fractional Dirichlet problem with $p$-Laplacian

In this paper, we investigate the existence and concentration of solutions for a class of $p$-Laplacian fractional order Kirchhoff-type system with Riemann-Liouville fractional derivatives and a parameter $\lambda$. By mountain pass theorem, we prove that system has at least one non-trivial weak solution $u_\lambda$ under some local superquadratic conditions for each given large parameter $\lambda$. We get a concrete lower bound of the parameter $\lambda$, and then obtain two estimates of weak solutions $u_\lambda$. We also obtain that $u_\lambda\to 0$ if $\lambda$ varies to $\infty$. Finally, we present an example as an application of our results.
Isolasi dan Karakterisasi Bakteri Hidrokarbonoklastik dari Perairan Dumai dengan Sekuen 16S rDNA

Penelitian ini dilaksanakan dari bulan September sampai Desember 2006. Tujuan penelitian adalah untuk mempelajari karakteristik molekuler bakteri hidrokarbonuklastik yang diisolasi dari perairan laut Dumai berdasarkan sekuen 16S rDNA. Isolasi bakteri dilakukan pada media cair dan padayang ditambahk an Sumatran crude oil. Karakteristik molekuler diperoleh melalui isolasi dan ampHdkasi DNA dengan PCR dan sekuensing menggunakan ABI 3130 Genetic Analyzer. Dari 6 isolat yang danalisis, hanya ada 3 isolatyang dapat disekuensing. Dari perbandingan dengan BLAST database, didapatkan kesamaan sekuen yang terdekat untuk isolat C A (91%) adalah Providenda vermicola , isolat D A (93%) adalah Burkholderia cepacia , dan isolat F A (99%) adalah Myroides odoratimimus. Kata kunci : Bakteri hidrokarbonuklastik, PCR dan 16S rDNA The research was conducted from September to December 2006. The aim was to study molecular characterization of hidrocarbonoclastic bacteria based on sequence 16S rDNA from Dumai waters. The bacteria was isolated in both broth and solid media added with the Sumatran crude oil. Molecular characterization included DNA isolation and amplification using PCR, and sequencing by ABI 3130 Genetic Analyzer. Three of six isolates were successfully sequenced. The comparison of 16S rDNA with known 16S rDNA sequences from BLAST database showed that the closest sequence similarity of isolate CA (91%) was Providencia vermicola , isolate DA (93%) was Burkholderia cepacia , and isolate FA (99%) was Myroides odoratimimus. Key words : Characterization, Hydrocarbonoclastic Bacteria, PCR, 16S rDNA
The Lidov-Kozai oscillation and Hugo von Zeipel

<p>It is widely accepted that the theoretical framework of the so-called Lidov-Kozai oscillation was established independently in the early 1960s by a Soviet Union dynamicist (Michail L'vovich Lidov) and by a Japanese celestial mechanist (Yoshihide Kozai). A large variety of studies has stemmed from the original works by Lidov and Kozai, now having the prefix of "Lidov-Kozai" or "Kozai-Lidov. " However, from a survey of past literature published in late nineteenth to early twentieth century, we have confirmed that there already existed a pioneering work using a similar analysis of this subject established in that period. This was accomplished by a Swedish astronomer, Edvard Hugo von Zeipel. In this presentation we make a brief summary of von Zeipel's work on this subject in contrast to the works of Lidov and Kozai, and show that von Zeipel's achievements in the early twentieth century (written and published in French under the title "<em>Sur l&#8217;application des s&#233;ries de M. Lindstedt &#224; l&#8217;&#233;tudedu mouvement des com&#232;tes p&#233;riodiques</em>") already comprehended most of the fundamental and necessary formulations that the Lidov-Kozai oscillation requires. By comparing the works of Lidov, Kozai, and von Zeipel along this line of studies, we assert that the prefix "von Zeipel-Lidov-Kozai" should be used for designating this theoretical framework, and not just Lidov-Kozai or Kozai-Lidov. &#160;</p>
ALMA Observations of Atomic Carbon [C i] (3P1 → 3P0) and Low-J CO Lines in the Starburst Galaxy NGC 1808

We present [C i] , 12CO, 13CO, and C18O ( ) observations of the central region (radius 1 kpc) of the starburst galaxy NGC 1808 at 30–50 pc resolution conducted with the Atacama Large Millimeter/submillimeter Array. Radiative transfer analysis of multiline data indicates warm ( K) and dense ( cm−3) molecular gas with high column density of atomic carbon ( cm−2) in the circumnuclear disk (central 100 pc). The C i/H2 abundance in the central 1 kpc is , consistent with the values in luminous infrared galaxies. The intensity ratios of [C i]/CO (1–0) and [C i]/CO (3–2), respectively, decrease and increase with radius in the central 1 kpc, whereas [C i]/CO (2–1) is uniform within statistical errors. The result can be explained by excitation and optical depth effects, since the effective critical density of CO (2–1) is comparable to that of [C i]. The distribution of [C i] is similar to that of 13CO (2–1), and the ratios of [C i] to 13CO (2–1) and C18O (2–1) are uniform within in the central pc starburst disk. The results suggest that [C i] luminosity can be used as a CO-equivalent tracer of molecular gas mass, although caution is needed when applied in resolved starburst nuclei (e.g., circumnuclear disk), where the [C i]/CO (1–0) luminosity ratio is enhanced owing to high excitation and atomic carbon abundance. The [C i]/CO (1–0) intensity ratio toward the base of the starburst-driven outflow is , and the upper limits of the mass and kinetic energy of the atomic carbon outflow are and , respectively.
Querying Phenotype-Genotype Associations across Multiple Knowledge Bases using Semantic Web Technologies across Bases

—Biomedical and genomic data are inherently heterogeneous and their recent proliferation over the Web has demanded innovative querying methods to help domain experts in their clinical and research studies. In this paper we present the use of Semantic Web technologies in querying diverse phenotype-genotype associations for supporting personalized medicine and potentially helping to discover new associations. Our initial results suggest that Semantic Web technologies has competitive advantages in extracting, consolidating and presenting phenotype-genotype associations that resides in various bioinformatics resources. The developed querying method could support researchers and medical professionals in discovering and utilizing information on published associations relating disease, treatment, adverse events and environmental factors to genetic markers from multiple repositories.
Data structures meet cryptography: 3SUM with preprocessing

This paper shows several connections between data structure problems and cryptography against preprocessing attacks. Our results span data structure upper bounds, cryptographic applications, and data structure lower bounds, as summarized next. First, we apply Fiat-Naor inversion, a technique with cryptographic origins, to obtain a data structure upper bound. In particular, our technique yields a suite of algorithms with space S and (online) time T for a preprocessing version of the N-input 3SUM problem where S 3· T = O(N 6). This disproves a strong conjecture (Goldstein et al., WADS 2017) that there is no data structure that solves this problem for S=N 2−δ and T = N 1−δ for any constant δ>0. Secondly, we show equivalence between lower bounds for a broad class of (static) data structure problems and one-way functions in the random oracle model that resist a very strong form of preprocessing attack. Concretely, given a random function F: [N] → [N] (accessed as an oracle) we show how to compile it into a function G F : [N 2] → [N 2] which resists S-bit preprocessing attacks that run in query time T where ST=O(N 2−ε) (assuming a corresponding data structure lower bound on 3SUM). In contrast, a classical result of Hellman tells us that F itself can be more easily inverted, say with N 2/3-bit preprocessing in N 2/3 time. We also show that much stronger lower bounds follow from the hardness of kSUM. Our results can be equivalently interpreted as security against adversaries that are very non-uniform, or have large auxiliary input, or as security in the face of a powerfully backdoored random oracle. Thirdly, we give non-adaptive lower bounds for 3SUM which match the best known lower bounds for static data structure problems. Moreover, we show that our lower bound generalizes to a range of geometric problems, such as three points on a line, polygon containment, and others.
Arm Motion Classification Using Curve Matching of Maximum Instantaneous Doppler Frequency Signatures

Hand and arm gesture recognition using the radio frequency (RF) sensing modality proves valuable in man-machine interface and smart environment. In this paper, we use curve matching techniques for measuring the similarities and differences of the maximum instantaneous Doppler frequencies corresponding to different arm gestures. In particular, we apply both Fréchet and dynamic time warping (DTW) distances that, unlike the Euclidean (L2) and Manhattan (L1) distances, take into account both the location and the order of the points for rendering two curves similar or dissimilar. It is shown that improved arm gesture classification can be achieved by using the DTW method, in lieu of L2 and L1 distances, under the nearest neighbor (NN) classifier.
Generalizing Natural Language Analysis through Span-relation Representations

Natural language processing covers a wide variety of tasks predicting syntax, semantics, and information content, and usually each type of output is generated with specially designed architectures. In this paper, we provide the simple insight that a great variety of tasks can be represented in a single unified format consisting of labeling spans and relations between spans, thus a single task-independent model can be used across different tasks. We perform extensive experiments to test this insight on 10 disparate tasks spanning dependency parsing (syntax), semantic role labeling (semantics), relation extraction (information content), aspect based sentiment analysis (sentiment), and many others, achieving performance comparable to state-of-the-art specialized models. We further demonstrate benefits of multi-task learning, and also show that the proposed method makes it easy to analyze differences and similarities in how the model handles different tasks. Finally, we convert these datasets into a unified format to build a benchmark, which provides a holistic testbed for evaluating future models for generalized natural language analysis.