Tootfinder

Constraints On Covariant WIMP-Nucleon Effective Field Theory Interactions from the First Science Run of the LUX-ZEPLIN Experiment
J. Aalbers, D. S. Akerib, A. K. Al Musalhi, F. Alder, C. S. Amarasinghe, A. Ames, T. J. Anderson, N. Angelides, H. M. Ara\'ujo, J. E. Armstrong, M. Arthurs, A. Baker, S. Balashov, J. Bang, E. E. Barillier, J. W. Bargemann, K. Beattie, T. Benson, A. Bhatti, A. Biekert, T. P. Biesiadzinski, H. J. Birch, E. J. Bishop, G. M. Blockinger, B. Boxer, C. A. J. Br…

Constraints On Covariant WIMP-Nucleon Effective Field Theory Interactions from the First Science Run of the LUX-ZEPLIN Experiment
The first science run of the LUX-ZEPLIN (LZ) experiment, a dual-phase xenon time project chamber operating in the Sanford Underground Research Facility in South Dakota, USA, has reported leading limits on spin-independent WIMP-nucleon interactions and interactions described from a non-relativistic effective field theory (NREFT). Using the same 5.5~t fiducial mass and 60 live days of exposure we report on the results of a relativistic extension to the NREFT. We present constraints on couplings f…

Securing Transactions: A Hybrid Dependable Ensemble Machine Learning Model using IHT-LR and Grid Search
Md. Alamin Talukder, Rakib Hossen, Md Ashraf Uddin, Mohammed Nasir Uddin, Uzzal Kumar Acharjee
https://arxiv.org/abs/2402.14389

Securing Transactions: A Hybrid Dependable Ensemble Machine Learning Model using IHT-LR and Grid Search
Financial institutions and businesses face an ongoing challenge from fraudulent transactions, prompting the need for effective detection methods. Detecting credit card fraud is crucial for identifying and preventing unauthorized transactions.Timely detection of fraud enables investigators to take swift actions to mitigate further losses. However, the investigation process is often time-consuming, limiting the number of alerts that can be thoroughly examined each day. Therefore, the primary obje…

Advancing Continuous Distribution Generation: An Exponentiated Odds Ratio Generator Approach
Xinyu Chen, Yuanqi Xie, Achraf Cohen, Shusen Pu
https://arxiv.org/abs/2402.17294

Advancing Continuous Distribution Generation: An Exponentiated Odds Ratio Generator Approach
This paper presents a new methodology for generating continuous statistical distributions, integrating the exponentiated odds ratio within the framework of survival analysis. This new method enhances the flexibility and adaptability of distribution models to effectively address the complexities inherent in contemporary datasets. The core of this advancement is illustrated by introducing a particular subfamily, the "Type-2 Gumbel Weibull-G Family of Distributions." We provide a comprehensive ana…

A Two-Level Thermal Cycling-aware Task Mapping Technique for Reliability Management in Manycore Systems
Fatemeh Hossein Khani, Omid Akbari, Muhammad Shafique
https://arxiv.org/abs/2403.06134

A Two-Level Thermal Cycling-aware Task Mapping Technique for Reliability Management in Manycore Systems
Reliability management is one of the primary concerns in manycore systems design. Different aging mechanisms such as Negative-Bias Temperature Instability (NBTI), Electromigration (EM), and thermal cycling can reduce the reliability of these systems. However, state-of-the-art works mainly focused on NBTI and EM, whereas a few works have considered the thermal cycling effect. The thermal cycling effect can significantly aggravate the systems lifetime. Moreover, the thermal effects of cores on ea…

Effect of external characteristics of a virtual human being during the use of a computer-assisted therapy tool
Navid Ashrafi, Vanessa Neuhaus, Francesco Vona, Nicolina Laura Peperkorn, Youssef Shiban, Jan-Niklas Voigt-Antons
https://arxiv.org/abs/2403.09544

Effect of external characteristics of a virtual human being during the use of a computer-assisted therapy tool
Identification within media, whether with real or fictional characters, significantly impacts users, shaping their behavior and enriching their social and emotional experiences. Immersive media, like video games, utilize virtual entities such as agents, avatars, or NPCs to connect users with virtual worlds, fostering a heightened sense of immersion and identification. However, challenges arise in visually representing these entities, with design decisions crucial for enhancing user interaction.…

Zero-energy Devices for 6G: Technical Enablers at a Glance
Onel L\'opez, Ritesh Kumar Singh, Dinh-Thuy Phan-Huy, Efstathios Katranaras, Nafiseh Mazloum, Riku J\"antti, Hamza Khan, Osmel Rosabal, Pavlos Alexias, Prasoon Raghuwanshi, David Ruiz-Guirola, Bikramjit Singh, Andreas H\"oglund, Dung Pham Van, Amirhossein Azarbahram, Jeroen Famaey

Zero-energy Devices for 6G: Technical Enablers at a Glance
Low-cost, resource-constrained, maintenance-free, and energy-harvesting (EH) Internet of Things (IoT) devices, referred to as zero-energy devices (ZEDs), are rapidly attracting attention from industry and academia due to their myriad of applications. To date, such devices remain primarily unsupported by modern IoT connectivity solutions due to their intrinsic fabrication, hardware, deployment, and operation limitations, while lacking clarity on their key technical enablers and prospects. Herein…

The Impact of Pradhan Mantri Ujjwala Yojana on Indian Households
Nabeel Asharaf, Richard S. J. Tol
https://arxiv.org/abs/2403.17112 https://

The Impact of Pradhan Mantri Ujjwala Yojana on Indian Households
This study critically evaluates the impact of the Pradhan Mantri Ujjwala Yojana (PMUY) on LPG accessibility among poor households in India. Using Propensity Score Matching and Difference-in-Differences estimators and the National Family Health Survey (NFHS) dataset, the Average Treatment Effect on the interdedly Treated is a modest 2.1 percentage point increase in LPG consumption due to PMUY, with a parallel decrease in firewood consumption. Regional analysis reveals differential impacts, with …

On the non-local problem for Boussinesq type fractional equation
Ravshan Ashurov, Yusuf Fayziev, Muattar Khudoykulova
https://arxiv.org/abs/2404.11486 http…

On the non-local problem for Boussinesq type fractional equation
In recent years, the Boussinesq type fractional partial differential equation has attracted much attentions of researchers for its practical importance. In this paper we study a non-local problem for the Boussinesq type equation $D_t^αu(t)+A D_t^αu(t)+ν^2A u(t)=0,\,\, 0< t< T,\,\, 1<α<2,$ where $D_t^α$ is the Caputo fractional derivative and $A$ is abstract operator. In the classical case, i.e. at $α=2$, this problem was studied earlier and an interesting effect was discovered: the well-p…

Quasiperiodic and periodic extended Hatano-Nelson model: Anomalous localization transition and non-Hermitian skin effect
Soumya Ranjan Padhi, Ashirbad Padhan, Sanchayan Banerjee, Tapan Mishra
https://arxiv.org/abs/2403.05382

Quasiperiodic and periodic extended Hatano-Nelson model: Anomalous localization transition and non-Hermitian skin effect
We study the effect of quasiperiodic and periodic onsite potentials in a Hatano-Nelson model with next-nearest-neighbour hopping. By considering a non-reciprocal next-nearest-neighbour hopping and a quasiperiodic onsite potential under periodic boundary conditions, we show a breakdown of the typical correspondence between the delocalization-localization and complex-real transitions as a function of the potential strength. Moreover, we reveal that in the delocalized regime, when the potential st…

Lightweight Deep Learning Based Channel Estimation for Extremely Large-Scale Massive MIMO Systems
Shen Gao, Peihao Dong, Zhiwen Pan, Xiaohu You
https://arxiv.org/abs/2402.08916

Lightweight Deep Learning Based Channel Estimation for Extremely Large-Scale Massive MIMO Systems
Extremely large-scale massive multiple-input multiple-output (XL-MIMO) systems introduce the much higher channel dimensionality and incur the additional near-field propagation effect, aggravating the computation load and the difficulty to acquire the prior knowledge for channel estimation. In this article, an XL-MIMO channel network (XLCNet) is developed to estimate the high-dimensional channel, which is a universal solution for both the near-field users and far-field users with different chann…