Miracle-dz/UniFAR-FTUs huggingface dataset:
Genie: Generative Interactive Environments

We introduce Genie, the first generative interactive environment trained in an unsupervised manner from unlabelled Internet videos. The model can be prompted to generate an endless variety of action-controllable virtual worlds described through text, synthetic images, photographs, and even sketches. At 11B parameters, Genie can be considered a foundation world model. It is comprised of a spatiotemporal video tokenizer, an autoregressive dynamics model, and a simple and scalable latent action model. Genie enables users to act in the generated environments on a frame-by-frame basis despite training without any ground-truth action labels or other domain-specific requirements typically found in the world model literature. Further the resulting learned latent action space facilitates training agents to imitate behaviors from unseen videos, opening the path for training generalist agents of the future.
The Umeyama algorithm for matching correlated Gaussian geometric models in the low-dimensional regime

Motivated by the problem of matching two correlated random geometric graphs, we study the problem of matching two Gaussian geometric models correlated through a latent node permutation. Specifically, given an unknown permutation $\pi^*$ on $\{1,\ldots,n\}$ and given $n$ i.i. d. pairs of correlated Gaussian vectors $\{X_{\pi^*(i)},Y_i\}$ in $\mathbb{R}^d$ with noise parameter $\sigma$, we consider two types of (correlated) weighted complete graphs with edge weights given by $A_{i,j}=\langle X_i,X_j \rangle$, $B_{i,j}=\langle Y_i,Y_j \rangle$. The goal is to recover the hidden vertex correspondence $\pi^*$ based on the observed matrices $A$ and $B$. For the low-dimensional regime where $d=O(\log n)$, Wang, Wu, Xu, and Yolou [WWXY22+] established the information thresholds for exact and almost exact recovery in matching correlated Gaussian geometric models. They also conducted numerical experiments for the classical Umeyama algorithm. In our work, we prove that this algorithm achieves exact recovery of $\pi^*$ when the noise parameter $\sigma=o(d^{-3}n^{-2/d})$, and almost exact recovery when $\sigma=o(d^{-3}n^{-1/d})$. Our results approach the information thresholds up to a $\operatorname{poly}(d)$ factor in the low-dimensional regime.
Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion

Multi-modal knowledge graph completion (MMKGC) aims to predict the missing triples in the multi-modal knowledge graphs by incorporating structural, visual, and textual information of entities into the discriminant models. The information from different modalities will work together to measure the triple plausibility. Existing MMKGC methods overlook the imbalance problem of modality information among entities, resulting in inadequate modal fusion and inefficient utilization of the raw modality information. To address the mentioned problems, we propose Adaptive Multi-modal Fusion and Modality Adversarial Training (AdaMF-MAT) to unleash the power of imbalanced modality information for MMKGC. AdaMF-MAT achieves multi-modal fusion with adaptive modality weights and further generates adversarial samples by modality-adversarial training to enhance the imbalanced modality information. Our approach is a co-design of the MMKGC model and training strategy which can outperform 19 recent MMKGC methods and achieve new state-of-the-art results on three public MMKGC benchmarks. Our code and data have been released at https://github.com/zjukg/AdaMF-MAT.
Exact Results for Non-Newtonian Transport Properties in Sheared Granular Suspensions: Inelastic Maxwell Models and BGK-Type Kinetic Model

The Boltzmann kinetic equation for dilute granular suspensions under simple (or uniform) shear flow (USF) is considered to determine the non-Newtonian transport properties of the system. In contrast to previous attempts based on a coarse-grained description, our suspension model accounts for the real collisions between grains and particles of the surrounding molecular gas. The latter is modeled as a bath (or thermostat) of elastic hard spheres at a given temperature. Two independent but complementary approaches are followed to reach exact expressions for the rheological properties. First, the Boltzmann equation for the so-called inelastic Maxwell models (IMM) is considered. The fact that the collision rate of IMM is independent of the relative velocity of the colliding spheres allows us to exactly compute the collisional moments of the Boltzmann operator without the knowledge of the distribution function. Thanks to this property, the transport properties of the sheared granular suspension can be exactly determined. As a second approach, a Bhatnagar–Gross–Krook (BGK)-type kinetic model adapted to granular suspensions is solved to compute the velocity moments and the velocity distribution function of the system. The theoretical results (which are given in terms of the coefficient of restitution, the reduced shear rate, the reduced background temperature, and the diameter and mass ratios) show, in general, a good agreement with the approximate analytical results derived for inelastic hard spheres (IHS) by means of Grad’s moment method and with computer simulations performed in the Brownian limiting case (m/mg→∞, where mg and m are the masses of the particles of the molecular and granular gases, respectively). In addition, as expected, the IMM and BGK results show that the temperature and non-Newtonian viscosity exhibit an S shape in a plane of stress–strain rate (discontinuous shear thickening, DST). The DST effect becomes more pronounced as the mass ratio m/mg increases.
Neural-Symbolic Modeling for Natural Language Discourse

Building models for realistic natural language tasks requires dealing with long texts and accounting for complicated structural dependencies. Neural-symbolic representations have emerged as a way to combine the reasoning capabilities of symbolic methods, with the expressiveness of neural networks. In this paper, we present DR AI L a declarative framework for specifying deep relational models, designed to support a variety of NLP scenarios. Our framework supports easy integration with expressive language encoders, and provides an interface to study the interactions be-tween representation, inference and learning.
Surface-deformation monitoring in the permafrost regions over the Tibetan Plateau, using Sentinel-1 data

Differential Interferometric Synthetic Aperture Radar (D-InSAR) has been widely used to measure surface deformation over the Tibetan Plateau. However, the accuracy and applicability of the D-InSAR method are not well estimated due to the lack of in-situ validation. In this paper, we mapped the seasonal and long-term displacement of Tanggula (TGL) and Liangdaohe (LDH) permafrost regions with a stack of Sentinel-1 acquisitions using the Small Baseline Subset InSAR (SBAS-InSAR) method. In the TGL region, with its dry soils and sparse vegetation, the InSAR-derived surface-deformation trend was consistent with ground-based leveling results; long-term changes of the active layer showed a settlement rate of around 1 to 3 mm/a due to the melting of ground ice, indicating a degrading permafrost in this area. Around half of the deformation was picked up on monitoring, in contrast with in-situ measurements in LDH, implying that the D-InSAR method remarkably underestimated the surface-deformation. This phenomenon may be induced by the large soil-water content, high vegetation coverage, or a combination of these two factors in this region. This study demonstrates that surface deformation could be mapped accurately for a specific region with Sentinel-1 C-band data, such as in the TGL region. Moreover, although the D-InSAR technology provides an efficient solution for broad surface-deformation monitoring in permafrost regions, it shows a poor performance in the region with high soil-water content and dense vegetation coverage.
Effect Of Self Efficacy And Prior Knowledge On Students' Skills

This research aims to determine: (1) Information about the information of self-efficacy, prior knowledge, and skills of students in the subject of Advanced Computer Network course in Information and computer technology education IKIP PGRI Pontianak, (2) The effect of self efficacy on the skills of students in the subject of Advanced Computer Network course in Information and computer technology education IKIP PGRI Pontianak, (3) Effect prior knowledge of the skills of students in the subject of Advanced Computer Network course in Information and computer technology education IKIP PGRI Pontianak, and (4) The effect of self-efficacy and prior knowledge of the skills of students in the subject of Advanced Computer Network course in Information and computer technology education IKIP PGRI Pontianak. This research is an ex-post facto research with correlation design. The independent variable in this research were self efficacy (X 1) and prior knowledge (X 2). While the dependent variable in this research is the students' skills (Y). The sample in this research were 108 students of Information and computer technology education IKIP PGRI Pontianak. The analysis technique used is simple regression analysis, and multiple regression analysis. Results of the research: (1) The level of prior knowledge of students of 79 146 at intervals of 50.70 99.99, the level of self-efficacy of students at 56.45 with intervals of 48-65, and the skill level of students at 72.38 with intervals of 51.50 81.50. (2) there are significant positive and significant correlation between self efficacy against students' skills by 9.2%. (3) there is a positive and significant influence between the prior knowledge the students' skills of 10.7%. (4) there are significant positive and significant correlation between selfefficacy and prior knowledge the students' skills of 17.4%. Keyword: 6HOI (IILFDF\ 3ULRU . QRZOHGJH 6WXGHQWV¶ 6NLOOV
The Gaussian watermarking game

Watermarking models a copyright protection mechanism where an original source sequence or "covertext" is modified before distribution to the public in order to embed some extra information. The embedding should be transparent (i.e., the modified data sequence or "stegotext" should be similar to the covertext) and robust (i.e., the extra information should be recoverable even if the stegotext is modified further, possibly by a malicious "attacker"). We compute the coding capacity of the watermarking game for a Gaussian covertext and squared-error distortions. Both the public version of the game (covertext known to neither attacker nor decoder) and the private version of the game (covertext unknown to attacker but known to decoder) are treated. While the capacity of the former cannot, of course, exceed the capacity of the latter, we show that the two are, in fact, identical. These capacities depend critically on whether the distortion constraints are required to be met in expectation or with probability one. In the former case, the coding capacity is zero, whereas in the latter it coincides with the value of related zero-sum dynamic mutual information games of complete and perfect information. We also compute the capacity when the attacker is restricted to additive attacks. This capacity turns out to be strictly larger than the watermarking capacity, thus demonstrating that additive attacks are suboptimal. In fact, under the additive attack restriction, capacity turns out to coincide with the capacity of Costa's (1983) model for "writing on dirty paper," thus demonstrating that in Costa's model, the independent and identically distributed (i.i.d.) Gaussian "noise" is the most malevolent power-limited "noise". Additionally, Costa's observation that in the presence of i.i. d. Gaussian "noise," an i.i. d. Gaussian "dirt" process that is noncausally known to the transmitter (but not receiver) does not reduce capacity, is extended to general ergodic "dirt" and to stationary (but not necessarily white) Gaussian "noise".
Learning retention of thoracic pedicle screw placement using a high-resolution augmented reality simulator with haptic feedback 1 Authors

Authors CRISTIAN J. LUCIANO, PH.D.,1,3 P. PAT BANERJEE, PH.D.,1–3 Departments of 1Mechanical and Industrial Engineering, 2Bioengineering, and 3Computer Science, College of Engineering, University of Illinois at Chicago; BRAD BELLOTTE, M.D.5 5Department of Neurosurgery, Allegheny General Hospital, Pittsburgh, Pennsylvania; G. MICHAEL LEMOLE JR., M.D.,7 7Division of Neurosurgery, University of Arizona, Tucson, Arizona MICHAEL OH, M.D., 5 5Department of Neurosurgery, Allegheny General Hospital, Pittsburgh, Pennsylvania; FADY T. CHARBEL, M.D., 4 4Department of Neurosurgery, University of Illinois at Chicago AND BEN ROITBERG, M.D., 6 6Division of Neurosurgery, University of Chicago
Predicting Sediment Thickness on Vanished Ocean Crust Since 200 Ma

Tracing sedimentation through time on existing and vanished seafloor is imperative for constraining long‐term eustasy and for calculating volumes of subducted deep‐sea sediments that contribute to global geochemical cycles. We present regression algorithms that incorporate the age of the ocean crust and the mean distance to the nearest passive margin to predict sediment thicknesses and long‐term decompacted sedimentation rates since 200 Ma. The mean sediment thickness decreases from ∼220 m at 200 Ma to a minimum of ∼140 m at 130 Ma, reflecting the replacement of old Panthalassic ocean floor with young sediment‐poor mid‐ocean ridges, followed by an increase to ∼365 m at present‐day. This increase reflects the accumulation of sediments on ageing abyssal plains proximal to passive margins, coupled with a decrease in the mean distance of any parcel of ocean crust to the nearest passive margin by over 700 km, and a doubling of the total passive margin length at present‐day. Mean long‐term sedimentation rates increase from ∼0.5 cm/ky at 160 Ma to over 0.8 cm/ky today, caused by enhanced terrigenous sediment influx along lengthened passive margins, superimposed by the onset of ocean‐wide carbonate sedimentation. Our predictive algorithms, coupled to a plate tectonic model, provide a framework for constraining the seafloor sediment‐driven eustatic sea‐level component, which has grown from ∼80 to 210 m since 120 Ma. This implies a long‐term sea‐level rise component of 130 m, partly counteracting the contemporaneous increase in ocean basin depth due to progressive crustal ageing.
WATER AND IRRIGATION REQUIREMENTS OF FIELD CROPS GROWN IN CENTRAL VOJVODINA, SERBIA

Amount and distribution of precipitation and mean daily air temperatures were analyzed in the period of 30 years (1987-2016) in Bački Petrovac, situated in the vicinity of Novi Sad, central Vojvodina. Increase in mean daily air temperatures was recorded during the whole vegetation period, 5.7% on average compared to the previous period (1948-1990). According to the water balance used as the basis for drought estimation, regular and increased deficit in plant-available water was observed mainly in July and August, despite the recorded sum of precipitation equal to or slightly higher than the previously obtained average. High oscillations of field crop yields, mainly due to different weather conditions in specific growing seasons, had been observed across the growing years. Average yields recorded in the period 2006-2014 for most significant field crops - maize, sugar beet, sunflower and soybean, were higher compared to the previous period by 2.16%, 17.81%, 19.39% and 38.71%, respectively. Average yields in Republic of Serbia were as follows: maize 5.19 t ha -1 , sugar beet 46.42t ha -1 , sunflower 2.34t ha -1 , and soybean 2.58t ha -1 . The yields varied between 12.09% and 24.49%. Analyzed meteorological data indicate the need for irrigation, which would maintain and improve soil fertility, regulate soil water and nutrient regime, and thus provide the basis for a more successful plant production.
Working Paper Network Characteristics and the Value of Collaborative User-Generated Content

User-generated content increasingly is created through the collaborative efforts of multiple individuals. Characteristics of the network associated with the creation of collaborative content should therefore influence content value. A social network analysis, applied to Wikipedia’s Medicine Wikiproject, reveals a curvilinear relationship between the number of distinct contributors to user-generated content and viewership. Globally central content—characterized by connections to more prominent collaborative content in the overall network—generates greater viewership. Contrary to previous theory, locally central content—characterized by greater intensity of work by contributors to multiple content sources—is negatively associated with viewership. In addition, network effects are stronger for newer collaborative user-generated content. A recursive relationship between contribution and viewership activity suggests a virtuous cycle between the value of— and contribution to—user-generated content, but this dynamic matures and stabilizes over time. Finally, effects of network characteristics on value differ for the most and least viewed content. These findings have implications for fostering collaborative user-generated content.
Crustal structure beneath Namche Barwa, eastern Himalayan syntaxis: New insights from three‐dimensional magnetotelluric imaging

The eastern terminations of the Himalayan orogeny, named Namche Barwa, are considered a vital natural laboratory in the Tibetan plateau for geodynamics due to its distinctive geological and geomorphological characteristics. Magnetotelluric (MT) data measured at 83 sites around the Namche Barwa are imaged by three‐dimensional (3‐D) inversion to better reveal the crustal structure of the eastern Himalaya. The results show a complex and heterogeneous electrical structure beneath the Namche Barwa. The electrical conductors distributed in the middle and lower crust around the Namche Barwa provide additional evidence for the “crustal flow” model if they are considered as some parts of the flow in a relatively large‐scale region. The near‐surface resistivity model beneath the inner part of Namche Barwa conforms with the locations of hot spring and fluid inclusions, the brittle‐ductile transition, and the 300°C–400°C isotherm from previous hydrothermal studies. Relatively resistive upper crust (>800 Ωm) is underlain by a more conductive middle to lower crust (<80 Ωm). The electrical characteristics of the thermal structure at shallow depth indicate an accumulation of hydrous melting, a localized conductive steep dipping zone for decompression melting consistent with the “tectonic aneurysm” model for explaining the exhumation mechanism of metamorphic rocks at Namche Barwa. The results also imply that both surface processes and local tectonic responses play a vital role in the evolution of Namche Barwa. An alternative hypothesis that the primary sustained heat source accounts for the local thermal‐rheological structure beneath Namche Barwa is also discussed.
Pengaruh Audit Tenure, Rotasi Kap, Ukuran Perusahaan, dan Ukuran Kap terhadap Kualitas Audit (Studi Empiris pada Perusahaan Manufaktur Sektor Industri Barang Konsumsi yang Terdaftar di Bursa Efek Indonesia (BEI) periode 2012-2015)

The purpose of this research is to examine the effect of audit tenure, KAP rotation, firm size and KAP size to audit quality. The population in this study is manufacturing companies listed on the BEI period 2012-2015. Total sample of research is 108 companies determined by purposive sampling. Data analysis was done by logistic regression. The results of this study show that audit tenure, KAP rotation has significant effect on audit quality, while firm size and KAP size have no effect on audit quality.
Flammability and Multi-objective Performance of Building Façades: Towards Optimum Design

The facade is an important, complex, and costly part of a building, performing multiple objectives of value to the occupants, like protecting from wind, rain, sunlight, heat, cold, and sound. But the frequency of facade fires in large buildings is alarming, and has multiplied by seven times worldwide over the last three decades, to a current rate of 4.8 fires per year. High-performing polymer based materials allow for a significant improvement across several objectives of a facade (e.g., thermal insulation, weight, and construction time) thereby increasing the quality of a building. However, all polymers are flammable to some degree. If this safety problem is to be tackled effectively, then it is essential to understand how different materials, and the facade as a whole, perform in the event of a fire. This paper discusses the drivers for flammability in facades, the interaction of facade materials, and current gaps in knowledge. In doing so, it aims to provide an introduction to the field of facade fires, and to show that because of the drive for thermal efficiency and sustainability, facade systems have become more complex over time, and they have also become more flammable. We discuss the importance of quantifying the flammability of different facade systems, but highlight that it is currently impossible to do so, which hinders research progress. We finish by putting forward an integral framework of design that uses multi-objective optimization to ensure that flammability is minimized while considering other objectives, such as maximizing thermal performance or minimizing weight.
Balance growth distribution to achieve better social development : a reflection on China’s urban centered export-oriented industrialization strategy

Inequality has been rising since China’s economic reform. This thesis analyzes inequality in terms of urban-rural income differences that caused by the combination work of global forces and national policies. In particular, China’s adoption of export-oriented growth based explicitly on wage competitiveness. This cannot be fully explained by its controlled exchange rate policies and even huge surplus of rural labor. It is a consequence of the government’s fiscal, financial, and agricultural policies that transferred financial and human resources from its rural-agricultural sector to the urban-industrial sector. As rural population account for the majority of the entire population, a drop of wage share for the rural population lead to falling private consumption and aggregate demand. A weak domestic market automatically made China overly dependent on foreign demand thus exposed China to the unstable situations of international market. The paper concludes that the government should dedicate efforts to build a strong domestic market by adopting a more inward economic strategy that focuses on boosting domestic incomes for the poorer in order to achieve more balanced development.
The Shaping Of Inter-Organisational Information Systems : Main Design Considerations Of An International Comparative Research Project

Based on a critical analysis of the literature on the development and adoption of interorganisational information systems (IOIS) we propose a new unit of analysis for IOIS studies, define levels of analysis based on this unit in order to organize a large set of variables pertinent to the study of IOIS, and show how this design will be implemented within an international collaborative research project. The main goal of our research is to shed light on the interaction between characteristics of IOIS and their development trajectories on the one hand and characteristics of industries and countries on the other hand. We expect that both, industry characteristics and characteristics of national environments have a significant influence on the type and development of IOIS but submit that understanding of these relationships is in its infancy and that significant new insights can be gained by carefully specifying the network level of analysis. Better understanding of the way IOIS are shaped can greatly assist in evaluating the extent to which adoption experiences in one industry or country can be validly used to inform policy choices in another industry or country.