Reviewerly/exHarmony huggingface dataset:
Robust Survival Analysis with Adversarial Regularization

Survival Analysis (SA) is about modeling the time for an event of interest to occur, which has important applications in many fields, including medicine, defense, finance, and aerospace. Recent work has demonstrated the benefits of using Neural Networks (NNs) to capture complicated relationships in SA. However, the datasets used to train these models are often subject to uncertainty (e.g., noisy measurements, human error), which we show can substantially degrade the performance of existing techniques. To address this issue, this work leverages recent advances in NN verification to provide new algorithms for generating fully parametric survival models that are robust to such uncertainties. In particular, we introduce a robust loss function for training the models and use CROWN-IBP regularization to address the computational challenges with solving the resulting Min-Max problem. To evaluate the proposed approach, we apply relevant perturbations to publicly available datasets in the SurvSet repository and compare survival models against several baselines. We empirically show that Survival Analysis with Adversarial Regularization (SAWAR) method on average ranks best for dataset perturbations of varying magnitudes on metrics such as Negative Log Likelihood (NegLL), Integrated Brier Score (IBS), and Concordance Index (CI), concluding that adversarial regularization enhances performance in SA. Code: https://github.com/mlpotter/SAWAR
Quantum investment

Robert P Crease finds out from Susannah Glickman why people ploughed so much money into quantum computers before the technology had even been properly developed.
Denai Kapur

The Denai Kapur was designed as a townhall that serves as difference spaces based on different occasions. Located near to the Dewan Suarah and Sekolah Jenis Kebangsaan Chung Hua, the Denai Kapur is expected to be used not only by the students, but also will be beneficial towards the local people around the area. The layour of the Denai Kapur was planned based on the site given, to be able to adapt to the site constraints. Being that the existing limestone was the most important element within the site, most of it remained untouched as the building was designed surrounding it.&#x0D;
On Quantum States for angular Position and Angular Momentum of Light

In the present paper we construct a properly defined quantum state expressed in terms of elliptic Jacobi theta functions for the self-adjoint observables angular position $\theta$ and the corresponding angular momentum operator $L = -id/d\theta$. The quantum uncertainties $\Delta \theta$ and $\Delta L$ for the state are well-defined and are, e.g., shown to give a lower value of the uncertainty product $\Delta \theta \Delta L$ than the minimal uncertainty states of Ref.\cite{Padgett_2004}. The mean value $< L >$ of the state is not required to be an integer. In the case of any half-integer mean value $< L >$ the state constructed exhibits a remarkable critical behavior with upper and lower bounds $\Delta \theta < \sqrt{\pi^2/3 -2}$ and $\Delta L > 1/2$.
HMP: Hand Motion Priors for Pose and Shape Estimation from Video

Understanding how humans interact with the world necessitates accurate 3D hand pose estimation, a task complicated by the hand's high degree of articulation, frequent occlusions, self-occlusions, and rapid motions. While most existing methods rely on single-image inputs, videos have useful cues to address aforementioned issues. However, existing video-based 3D hand datasets are insufficient for training feedforward models to generalize to in-the-wild scenarios. On the other hand, we have access to large human motion capture datasets which also include hand motions, e.g. AMASS. Therefore, we develop a generative motion prior specific for hands, trained on the AMASS dataset which features diverse and high-quality hand motions. This motion prior is then employed for video-based 3D hand motion estimation following a latent optimization approach. Our integration of a robust motion prior significantly enhances performance, especially in occluded scenarios. It produces stable, temporally consistent results that surpass conventional single-frame methods. We demonstrate our method's efficacy via qualitative and quantitative evaluations on the HO3D and DexYCB datasets, with special emphasis on an occlusion-focused subset of HO3D. Code is available at https://hmp.is.tue.mpg.de
Single-shot entanglement manipulation of states and channels revisited

We study entanglement distillation and dilution of states and channels in the single-shot regime. With the help of a recently introduced conversion distance, we provide compact closed-form expressions for the dilution and distillation of pure states and show how this can be used to efficiently calculate these quantities on multiple copies of pure states. These closed-form expressions also allow us to obtain second-order asymptotics. We then prove that the epsilon-single-shot entanglement cost of mixed states is given exactly in terms of an expression containing a suitably smoothed version of the conditional max-entropy. For pure states, this expression reduces to the smoothed max-entropy of the reduced state. Based on these results, we bound the single-shot entanglement cost of channels. We then turn to the one-way entanglement distillation of states and channels and provide bounds in terms of a quantity we denote coherent information of entanglement.
Resilient Constrained Reinforcement Learning

We study a class of constrained reinforcement learning (RL) problems in which multiple constraint specifications are not identified before training. It is challenging to identify appropriate constraint specifications due to the undefined trade-off between the reward maximization objective and the constraint satisfaction, which is ubiquitous in constrained decision-making. To tackle this issue, we propose a new constrained RL approach that searches for policy and constraint specifications together. This method features the adaptation of relaxing the constraint according to a relaxation cost introduced in the learning objective. Since this feature mimics how ecological systems adapt to disruptions by altering operation, our approach is termed as resilient constrained RL. Specifically, we provide a set of sufficient conditions that balance the constraint satisfaction and the reward maximization in notion of resilient equilibrium, propose a tractable formulation of resilient constrained policy optimization that takes this equilibrium as an optimal solution, and advocate two resilient constrained policy search algorithms with non-asymptotic convergence guarantees on the optimality gap and constraint satisfaction. Furthermore, we demonstrate the merits and the effectiveness of our approach in computational experiments.
EFHQ: Multi-purpose ExtremePose-Face-HQ dataset

The existing facial datasets, while having plentiful images at near frontal views, lack images with extreme head poses, leading to the downgraded performance of deep learning models when dealing with profile or pitched faces. This work aims to address this gap by introducing a novel dataset named Extreme Pose Face High-Quality Dataset (EFHQ), which includes a maximum of 450k high-quality images of faces at extreme poses. To produce such a massive dataset, we utilize a novel and meticulous dataset processing pipeline to curate two publicly available datasets, VFHQ and CelebV-HQ, which contain many high-resolution face videos captured in various settings. Our dataset can complement existing datasets on various facial-related tasks, such as facial synthesis with 2D/3D-aware GAN, diffusion-based text-to-image face generation, and face reenactment. Specifically, training with EFHQ helps models generalize well across diverse poses, significantly improving performance in scenarios involving extreme views, confirmed by extensive experiments. Additionally, we utilize EFHQ to define a challenging cross-view face verification benchmark, in which the performance of SOTA face recognition models drops 5-37% compared to frontal-to-frontal scenarios, aiming to stimulate studies on face recognition under severe pose conditions in the wild.
Shape-IoU: More Accurate Metric considering Bounding Box Shape and Scale

As an important component of the detector localization branch, bounding box regression loss plays a significant role in object detection tasks. The existing bounding box regression methods usually consider the geometric relationship between the GT box and the predicted box, and calculate the loss by using the relative position and shape of the bounding boxes, while ignoring the influence of inherent properties such as the shape and scale of the bounding boxes on bounding box regression. In order to make up for the shortcomings of existing research, this article proposes a bounding box regression method that focuses on the shape and scale of the bounding box itself. Firstly, we analyzed the regression characteristics of the bounding boxes and found that the shape and scale factors of the bounding boxes themselves will have an impact on the regression results. Based on the above conclusions, we propose the Shape IoU method, which can calculate the loss by focusing on the shape and scale of the bounding box itself, thereby making the bounding box regression more accurate. Finally, we validated our method through a large number of comparative experiments, which showed that our method can effectively improve detection performance and outperform existing methods, achieving state-of-the-art performance in different detection tasks.Code is available at https://github.com/malagoutou/Shape-IoU
Informative Rays Selection for Few-Shot Neural Radiance Fields

Neural Radiance Fields (NeRF) have recently emerged as a powerful method for image-based 3D reconstruction, but the lengthy per-scene optimization limits their practical usage, especially in resource-constrained settings. Existing approaches solve this issue by reducing the number of input views and regularizing the learned volumetric representation with either complex losses or additional inputs from other modalities. In this paper, we present KeyNeRF, a simple yet effective method for training NeRF in few-shot scenarios by focusing on key informative rays. Such rays are first selected at camera level by a view selection algorithm that promotes baseline diversity while guaranteeing scene coverage, then at pixel level by sampling from a probability distribution based on local image entropy. Our approach performs favorably against state-of-the-art methods, while requiring minimal changes to existing NeRF codebases.
Fast emulation of fermionic circuits with matrix product states

We describe a matrix product state (MPS) extension for the Fermionic Quantum Emulator (FQE) software library. We discuss the theory behind symmetry adapted matrix product states for approximating many-body wavefunctions of spin-1/2 fermions, and we present an open-source, MPS-enabled implementation of the FQE interface (MPS-FQE). The software uses the open-source pyblock3 and block2 libraries for most elementary tensor operations, and it can largely be used as a drop-in replacement for FQE that allows for more efficient, but approximate, emulation of larger fermionic circuits. Finally, we show several applications relevant to both near-term and fault-tolerant quantum algorithms where approximate emulation of larger systems is expected to be useful: characterization of state preparation strategies for quantum phase estimation, the testing of different variational quantum eigensolver Ans\"atze, the numerical evaluation of Trotter errors, and the simulation of general quantum dynamics problems. In all these examples, approximate emulation with MPS-FQE allows us to treat systems that are significantly larger than those accessible with a full statevector emulator.
Rickshaw Paintings of Bangladesh: Representation of Reality, Evolution of Art and Preservation

Rickshaw painting is one of the popular art forms of Bangladesh. It is also a symbol of Bangladeshi culture. But with the passage of time the subject of rickshaw pictures has changed. For various reasons, various topics and events have taken place in the rickshaw painting. This research has tried to investigate the past and present of the rickshaw painting, content of the rickshaw painting and its variations and some factors that have affected the rickshaw painting most over the time. In order to know all these issues, 14 rickshaw painters living in different regions of the country were interviewed to collect primary data and the rickshaw paintings stored in the Bangladesh National Museum were reviewed and thematically analyzed. Also the help of various books, journals, magazines, newspapers and other published information has been taken to achieve research objectives. This research reveals that apart from the topics discussed at different times, rickshaw paintings are being made considering the political and social context more. The research results also show that various types of contemporary events, morals, sermons, scenes and some popular topics have appeared again and again in rickshaw paintings. Various problems of rickshaw filming have been identified in this study. One of the problems is the industrialization and commercialization of rickshaw paintings. As a result the whole rickshaw painting industry is under serious threat. The study unveils that many rickshaws are now using digital banners instead of traditional rickshaw painting. Rickshaw painting is soon going to be included in the world immeasurable cultural heritage list from our own heritage. Therefore more research is needed to protect and preserve this industry. The research makes a contribution in understanding the content, evolution and problems of folk art of Bangladesh.
The narration of Korea in Current Event Novels about Liaodong war at the end of Ming Dynasty: Centered on 〈Liao Hai Dan Zhong Lu〉 and 〈Zhen Hai Chun Qiu〉

The current affairs novels of the late Ming Dynasty 〈Liao Hai Dan Zhong Lu〉 and 〈Zhen Hai Chun Qiu〉 describe the competition between the Ming and Jin forces in the Liaodong region at the end of the Ming Dynasty. They largely involve Joseon's diplomatic stance, internal affairs and military affairs. This phenomenon of other countries appearing in Chinese classical novels is novel. On the surface, the plots of the two novels are very similar, but after careful analysis, it can be found that the two works contain different emotional colors. First of all, in terms of Joseon's stance, 〈Liao Hai Dan Zhong Lu〉 emphasizes more the difficulties and helplessness of Joseon sandwiched between the Ming and Jin sides, while 〈Zhen Hai Chun Qiu〉 reveals a side that is too rich in the author's personal subjective emotions. Then in terms of Joseon's internal affairs, 〈Liao Hai Dan Zhong Lu〉 and 〈Zhen Hai Chun Qiu〉 agree on the nature of this political change and the Ming court's handling strategy. Finally, there is the military aspect of Joseon. In the text, the novelist devises a plot that leads to war due to the mistakes of Joseon officials. The novelist also uses literary works to express the Ming Dynasty's concerns about the situation and its continued hope for an alliance with Joseon. Therefore, this article takes these two novels as the research object, trying to explore the literary understanding of “Joseon” in the current affairs novels of the late Ming Dynasty, and explore the underlying motivations of the novelists' creations and the inspiration for us today.
The Effectiveness of Socialization of Loading and Transportation of Goods on Freight Transport Drivers in Kintamani Tourist Village Bangli

The need for freight transportation services is crucial in the distribution of goods. Currently, freight transportation predominantly relies on land routes, with many vehicles observed to be of the pickup type. Therefore, there is a necessity for socialization activities to enhance knowledge, both in theory and practice, in the field. This awareness is manifested through the implementation of socialization activities regarding loading and transportation procedures in the Kintamani Tourist Village, Bangli. The purpose of these activities is to reduce the risk of accidents in freight transportation and create optimal safety and security conditions during the loading process. The socialization activities involve various components, such as theoretical presentations in a room, distribution of brochures, pamphlets, and stickers containing information about loading and transportation procedures. Additionally, there are interactive interviews between lecturers, students, and the community to discuss the correct procedures in the process. The method used in this writing is a field survey method with a qualitative descriptive approach. Evaluation of these socialization activities indicates that initially, most freight drivers had limited knowledge of loading and transportation procedures according to applicable regulations. However, after participating in the socialization, there was a significant improvement in the understanding and awareness of the community regarding loading and transportation procedures. This socialization about procedures also successfully brought about positive changes in the behavior of the community. It is hoped that freight drivers can disseminate understanding and insight into loading and transportation procedures, as well as adhere to the regulations stipulated in the law as a guide for conducting freight transportation in accordance with prevailing standards and procedures.
Review of descriptions of the history of Mahan in history textbooks and Curriculum

The history of Mahan is historically important in relation to the identity of today's Republic of Korea and the Korean people. Nevertheless, the lack of relevant materials and the resulting indifference are treated lightly in textbooks. Textbooks dealing with Mahan alone do not exist, but are described as part of Samhan. The first Korean history textbook published immediately after independence devoted a significant portion to history of Mahan. During the 3rd Curriculum period, the amount of description of the history of Mahan increased significantly. However. Most of the content was copied directly from the Sanguozhi dongyizhuan. In addition, as the introduction of related archaeological materials was reduced, both the quantity and quality of the content deteriorated.&#x0D; In order to normalize the description of the history of Mahan in history textbooks in the future, it is necessary to properly recognize the problems and their causes and correct them. In particular, the status and existence of Mahan as a regional history should actively reflect recent research results and be written in content that everyone can accept.
Our Mother Bohwa Maria! Hyeonhi and Augustin, We Love you so much! (Tcheonzamun 849th-864th)

French Missionary Dallet (1874) gave the sincere explanation of ‘The thousand character essay’ to the Western World. The thousand character essay is called as Tcheonzamun (千字文) in Korea (Han, 1583). It is consisted of one thousand Chinese characters. It is generally considered that Tcheonzamun is the collection of story about a lot of Chinese heroes. But several researchers (Park et al., 2021a) began to consider that it is not true. It is the work of Korean language-speaking people (Park et al., 2021 b). Furthermore, Tcheonzamun book is not the story of heroes, it is but the work on the love between the husband and the wife (Kim, 2023). Sometimes, the story of love is interesting in Tcheonzamun. But many times, the sorrows of the wife are often shown (Park et al., 2021 b; Kim, 2023). Anyway, this time, the translation of a Tcheonzamun poem will be carried out. There are two methods for the translation. The first method is through Korean pronunciation of Chinese character on Tcheonzamun (Park et al., 2021 b). The second one is through the meaning of Chinese character on Tcheonzamun (Park et al., 2021 a). The theme of this research is as follows. 861-864 悅(Yeol) 豫(Ye) 且(Tcha) 康(Kang). My husband! It is the love (悅) without the stopping (且) in the communication (豫) among our friend and our whole family (康). Our mother Bohwa Maria lives. I (Augustin) and Hyeonhi say to her silently in our mind as follows. “Even though there is some difficulty for understanding each other among you and us, our mother Bohwa Maria, we love you sincerely!” Our mother Bohwa Maria! Hyeonhi and Augustin, we love you so much!.
Development of Interaction Design for Ferizy Inter-Island Ferry Ticket Booking Mobile Application

Ferizy is an online ferry ticket booking application managed by PT ASDP Indonesia Ferry. Based on the Apple App Store's review, Ferizy users mentioned that the application is difficult to use, impractical, and lacks security. The app's rating on the Apple App Store is only 2.6 out of 5. Therefore, the Ferizy application needs to be redesigned in such a way as to improve user comfort and usability. In this final project, a research study will be conducted to design an interaction design that can address the issues in the Ferizy app. The research will be conducted using the user-centered design method, which means the design process will prioritize and revolve around the users' needs. The three golden rules will also be applied in the interaction design process. To identify the problems and user needs, a questionnaire will be distributed to eticketing app users, and interviews will be conducted with Ferizy app users. The problems and needs that were found were then designed into a high-fidelity prototype developed using the Flutter framework. The results of the high-fidelity prototype design will be tested using two usability testing methods: the System Usability Scale (SUS) and the Single Ease Question (SEQ). The testing results show that all tasks in the SEQ testing were completed with a 100% success rate, based on the last testing using high-fidelity prototype iteration 2. The average SEQ score obtained from the high-fidelity prototype testing is 6.97 out of a maximum score of 7. This indicates that the designed prototype meets the usability goals of being effective to use and having good usability. The next testing conducted was the SEQ testing, and the average SEQ score obtained from the high-fidelity prototype testing was 98 out of a maximum score of 100. This shows that the designed prototype meets the usability goals of being efficient to use.
Monostatic imaging of an extended target with MCMC sampling

We consider the imaging of a planar extended target from far-field data under a monostatic measurement configuration, in which the data is measured by a single moving transducer, as frequently encountered in practical application. In this paper, we develop a Bayesian approach to recover the shape of the extended target with MCMC sampling, where a new shape basis selection is proposed based on the shape derivative analysis for the measurement data. In order to optimize the center and radius of the initial disk, we use the monostatic sampling method for the center and the explicit scattered field expression for disks for the radius. Numerical simulations are presented to validate the proposed method.
Quadratic equations in the lamplighter group

In this paper we study complexity of solving quadratic equations in the lamplighter group. We give a complete classification of cases (depending on genus and other characteristics of a given equation) when the problem is $\mathbf{NP}$-complete or polynomial-time decidable. We notice that the conjugacy problem can be solved in linear time. Finally, we prove that the problem belongs to the class $\mathbf{XP}$.