Miracle-dz/UniFAR-FTUs huggingface dataset:
Escape dynamics of a Bose-Hubbard dimer out of a trap

We consider a potential scattering of Bose-Hubbard dimer in 1D optical lattice. A numerical approach based on effective non-Hermitian Hamiltonian has been developed for solving the scattering problem. It allows to compute the tunneling and dissociation probabilities for arbitrary shape of the potential barrier and arbitrary kinetic energy of the dimer. The developed approach has been used to address the problem of two-particle decay out of a trap. In particular, it is shown that the presence of dissociation channels significantly decreases non-escape probability due to single-particle escape to those channels.
The Spatio-Temporal Patterns of Macro Benthos Functional Groups and the Associated Factors Affecting Them After Wetland Restoration

Abstract: This study examines how the spatiotemporal patterns of functional groups of macro benthos responded to coastal wetland restoration projects. Compared with the traditional single-species approach, methods for identifying functional groups of macro benthos more comprehensively reflect the states of the wetland, i.e., spatiotemporal patterns and the related influencing factors. In this study, the macro benthos samples, soil samples, and plant samples were collected at each same sample site in April, July, and October of 2017 and January of 2018. After classification of the macro benthos functional groups according to some traits, the factors influencing the functional groups were examined by a linear stepwise regression. The results showed that all macro benthos were classified into 11 different functional groups based on their traits of forms of locomotion, feeding habits, and food gathering methods. The semi-mobile suspensivores (FDX), semi-mobile surface detritivores (SDX), and Jawed mobile carnivores (CMJ) were the main groups observed in a year. Regression analysis showed that particle size, moisture content, and plant height were important common factors influencing most groups. The main influencing factor of FDX was particle size (P=0.020). Moisture content (P=0.004), plant cover degree (P=0.008), and particle size (P=0.032) comprised the main restrictions of SDX in summer. Soil salinity (P=0.040) and plant height (P=0.011) were the factors influencing CMJ in autumn and winter. This study shows the changing characteristics of macro benthos functional groups to promote coastal wetland restoration and future biogeomorphological studies.
Some new fixed point theorems for nonexpansive-type mappings in geodesic spaces

Abstract In this article, we present some new fixed point existence results for nonexpansive-type mappings in geodesic spaces. We also give a number of illustrative examples to settle our claims. We study the asymptotic behavior of Picard iterates generated by these class of mappings under different conditions. Finally, we approximate the solutions of the constrained minimization problem in the setting of Cartan, Alexandrov, and Toponogov (CAT(0)) spaces.
A no black hole theorem

We show that one cannot put a stationary (extended) black hole inside certain gravitating flux-tubes. This includes an electric flux-tube in five-dimensional Einstein–Maxwell theory, as well as the standard flux-branes of string theory. The flux always causes the black hole to grow indefinitely. One finds a similar restriction in a Kaluza–Klein setting where the higher dimensional spacetime contains no matter.
The impact of immersive video on a parenting programme for adoptive parents, foster carers and special guardians

Training programmes for the carers of adopted and looked after children have mixed efficacy, and the beneficial effects of their specific components are unclear. This article seeks to address this deficiency by assessing the impact of a parenting training programme distinguished by the inclusion of immersive videos. Eleven adoptive parents, seven foster carers and four special guardians participated. A mixed methods approach comprising questionnaires and interviews was utilised with data collected before, during and after training. Overall satisfaction with the training and trainers was high, and participants reported increased understanding and greater empathy regarding children’s early-life trauma and neglect (ELTN), plus enhanced competence and confidence in addressing any associated behavioural challenges. Qualitative analysis revealed differences in trainees’ responses according to the extent of their carer experience, with those relatively new to the work appreciating open-ended discussion and more experienced carers preferring discourse and role play that focused on the issues important to them. All participants valued the immersive videos, especially one that gave a toddler’s visual point of view in an environment where he was alternately shouted at and neglected. The study concluded that training programmes that include immersive videos can improve parenting knowledge and skills and that future research should examine their impact on child outcomes.
A PLASMA β TRANSITION WITHIN A PROPAGATING FLUX ROPE

We present a 2.5 dimensional magnetohydrodynamic simulation of a magnetic flux rope (FR) propagating in the heliosphere and investigate the cause of the observed sharp plasma β transition. Specifically, we consider a strong internal magnetic field and an explosive fast start, such that the plasma β is significantly lower in the FR than in the sheath region that is formed ahead. This leads to an unusual FR morphology in the first stage of propagation, while the more traditional view (e.g., from space weather simulations like Enlil) of a pancake-shaped FR is observed as it approaches 1 AU. We investigate how an equipartition line, defined by a magnetic Weber number, surrounding a core region of a propagating FR, can demarcate a boundary layer where there is a sharp transition in the plasma β. The substructure affects the distribution of toroidal flux, with the majority of the flux remaining in a small core region that maintains a quasi-cylindrical structure. We quantitatively investigate a locus of points where the kinetic energy density of the relative inflow field is equal to the energy density of the transverse magnetic field (i.e., effective tension force). The simulation provides compelling evidence that at all heliocentric distances the distribution of toroidal magnetic flux away from the FR axis is not linear, with 80% of the toroidal flux occurring within 40% of the distance from the FR axis. Thus, our simulation displays evidence that the competing ideas of a pancaking structure observed remotely can coexist with a quasi-cylindrical magnetic structure seen in situ.
S5 0836+710: An FRII jet disrupted by the growth of a helical instability?

Context. The remarkable stability of extragalactic jets is surprising, given the reasonable possibility of the growth of instabilities. In addition, much work in the literature has invoked this possibility in order to explain observed jet structures and obtain information from these structures. For example, it was recently shown that the observed helical structures in the jet in S5 0836+710 could be associated with helical pressure waves generated by Kelvin-Helmholtz instability. Aims. Our aim is to resolve the arc-second structure of the jet in the quasar S5 0836+710 and confirm the lack of a hot-spot (reverse jet-shock) found by present observing arrays, as this lack implies a loss of jet collimation before interaction with the intergalactic medium. Methods. In this work, we use an observation performed in 2008 using EVN and MERLIN. The combined data reduction has provided a complete image of the object at arc-second scales. Results. The lack of a hot-spot in the arc-second radio structure is taken as evidence that the jet losses its collimation between the VLBI region and the region of interaction with the ambient medium. Conclusions. This result, together with the previous identification of the helical structures in the jet with helical pressure waves that grow in amplitude with distance, allow us to conclude that the jet is probably disrupted by the growth of Kelvin-Helmholtz instability. This observational evidence confirms that the physical parameters of jets can be extracted using the assumption that instability is present in jets and can be the reason for many observed structures. Interestingly, the observed jet is classified as a FRII object in terms of its luminosity, but its large-scale morphology does not correspond to this classification. The implications of this fact are discussed.
What Guides Knowledge Work in the Library? Maps, Routines, and Workarounds

Knowledge work in the library is guided by a complex array of maps that outline how work should be done, who should do it, and how staff should think and behave. These maps originate from human and non‐human actors in the work system, including management, staff, patrons, technology, and physical space. In this study, six public library staff engaged in think‐alouds and semi‐structured interviews aimed at learning more about the function and content of these maps, how these maps were acquired, the challenges staff faced in trying to follow these maps, and how staff responded to these challenges. Results suggest how library management can support staff as they attempt to navigate the affordances and constraints of these maps—work that is key to sustained library resilience.
“I Try to Find a Balance”: Investigating Strategies for Self‐Regulating Covid News Consumption

Excessive news consumption during global crises (e.g., through regularly monitoring fast‐moving developments), can result in information fatigue and anxiety. Indeed, research has highlighted dangerous risks to mental wellbeing from “over‐consumption” of Covid‐related news. While prior research has examined how people find Covid‐related information and sometimes avoid it to prevent overwhelm, no existing studies have investigated how people leverage information seeking, encountering and avoidance (often in concert) to self‐regulate their Covid news consumption. We conducted a two‐week diary study and follow‐up interviews with 16 people. An inductive Thematic Analysis identified several strategies for self‐regulating Covid news consumption: short‐term avoidance of all Covid news, selective avoidance (e.g., of news on particular Covid topics), selective consumption of Covid news from particular sources, news perceived to be within one's control, or news likely to be of personal benefit and conscious consumption of Covid news by limiting time spent consuming it, relying on passively encountering (rather than actively seeking) it and consuming it less frequently by returning to pre‐pandemic news‐browsing routines. An understanding of Covid news self‐regulation strategies can help digital platforms that provide crisis‐related news better support people in regulating their information consumption more effectively which, in turn, can help safeguard their mental wellbeing.
How Do Adult Digital Literacy Curricula Address Problematic Information?

Public libraries, nonprofits, and community organizations are key providers of digital literacy and technology education in their communities. Given that they play a crucial role in helping persons outside formal education to navigate the digital world, these organizations have the potential to be key players in addressing problematic information. These institutions could provide critical support in this area since they teach people to use information and communication technologies and how to find, evaluate, create, and communicate information effectively and efficiently. This poster explored how seven digital literacy curricula for adults address problematic information. We found problematic information related lessons were siloed from other lessons on social media or online searching, and these curricula do not use current best practices for evaluating information but rely on older information literacy models.
Talk it Out: Teen Reactions to a Supportive Conversational Agent

COVID‐19 measures of isolation exacerbated the negative feeling, particularly in younger and older populations. We tested a voice conversational agent designed to support teens by offering interactions based on five types of behavioral interventions (compassion, self‐compassion, positive psychology, mindfulness, and humor), and examined teen reactions to these interventions. Thirty‐nine adolescents were asked to assess one randomized interaction a day for fifteen days. All five intervention types received positive ratings, with self‐compassion scoring the highest and compassion scoring the lowest by the participants. Participants shared more positive than negative feedback about the interaction scenarios, the perceived agent’s personality and conversational flow. Positive feedback emphasized enjoyment and benefits of the interaction, empathetic traits in the agent’s responses, a sense of validation, and moments for self‐reflection fostered by the interactions. Participants enjoyed the conversation flow that felt similar to a natural conversation. Negative comments generally revolved around perception of the impersonal agent, inappropriate pace of conversation (too slow/fast) or number of conversational turns, and dislike of some interaction topics. Recommendations based on this exploratory work are included.
A Plug and Play Approach to Vocabulary Mapping and Document Annotation

This study investigates the utility of open‐source data analytics, reporting, and integration tools for mapping knowledge organization systems (KOS) dedicated to COVID‐19. Using various natural language processing and machine learning methods, a workflow was created with the KNIME Analytics Platform for term mapping and document annotation tasks using string‐based, sense‐based, and rule‐based algorithmic methods. Results suggest strong support for mapping vocabularies within similar domains and appropriate tagging of unstructured data with concepts from an integrated dictionary created from mapped terms. This study demonstrates the use of a shareable, easily adaptable workflow for KOS mapping and annotating documents focused on COVID‐19 research. These mapped terms were then used for annotation of clinical trials. The results suggest that researchers could select and align vocabularies of interest and then use the results to annotate documents of interest.
Magnetoelectric backscatter communication for millimeter-sized wireless biomedical implants

This paper presents the design, implementation, and experimental evaluation of a wireless biomedical implant platform exploiting the magnetoelectric effect for wireless power and bi-directional communication. As an emerging wireless power transfer method, magnetoelectric is promising for mm-scaled bio-implants because of its superior misalignment sensitivity, high efficiency, and low tissue absorption compared to other modalities [46, 59, 60]. Utilizing the same physical mechanism for power and communication is critical for implant miniaturization, but low-power magnetoelectric uplink communication has not been achieved yet. For the first time, we design and demonstrate near-zero power magnetoelectric backscatter from the mm-sized implants by exploiting the converse magnetostriction effects. The system for demonstration consists of an 8.2-mm3 wireless implantable device and a custom portable transceiver. The implant's ASIC interfacing with the magnetoelectric transducer encodes uplink data by changing the transducer's load, resulting in resonance frequency changes for frequency-shift-keying modulation. The magnetoelectrically backscattered signal is sensed and demodulated through frequency-to-digital conversion by the external transceiver. With design optimizations in data modulation and recovery, the proposed system archives > 1-kbps data rate at the 335-kHz carrier frequency, with a communication distance greater than 2 cm and a bit error rate less than 1E-3. Further, we validate the proposed system for wireless stimulation and sensing, and conducted ex-vivo tests through a 1.5-cm porcine tissue. The proposed magnetoelectric backscatter approach provides a path towards miniaturized wireless bio-implants for advanced biomedical applications like closed-loop neuromodulation.
Deep reinforcement learning-based control framework for radio access networks

Network performance optimization represents one of the major challenges for mobile network operators, especially with the increasingly use cases that have diverse performance expectations. In this work we propose a novel control framework that maximizes radio resources utilization and minimizes performance degradation in the most challenging part of cellular architecture that is the radio access network (RAN). Based on deep reinforcement learning, we devise two control schemes: centralized and distributed, respectively. Using extensive discrete event simulations, we confirm that our proposed control framework succeeds in optimizing radio resources utilization while minimizing service level agreement (SLA) violations in a multi-slice RAN.
Towards behavior-independent in-hand user authentication on smartphone using vibration: poster

As the human hand makes direct physical contact with smartphones, significant efforts have recently been made to study the behavioral information of hand gripping of smartphones for user authentication purposes. Most existing methods leverage hand gripping behavior (e.g., gripping gesture, gripping position, gripping strength) of smartphones as biometrics to identify users. However, behavioral-based biometric authentication approaches may suffer from two problems: authentication performance (accuracy) degradation due to high-intra class variations arising from changes in user behavior over time, and vulnerability under spoofing attacks. To address these issues, we propose HoldPass, which is a behavior-independent in-hand user authentication method using vibration. HoldPass is able to adapt to the changes of hand gripping behavior of smartphones by extracting unique and stable physical features of human hands and eliminating the behavior-related prior information. Specifically, in HoldPass, we propose an adversarial neural network to achieve authentication based on unique physical features. Experiments with 10 users show that HoldPass can authenticate users with 97.39% accuracy while keeping False Accepted Rates (FAR) at a minimum of 2.1%.
MobiDepth: real-time depth estimation using on-device dual cameras

Real-time depth estimation is critical for the increasingly popular augmented reality and virtual reality applications on mobile devices. Yet existing solutions are insufficient as they require expensive depth sensors or motion of the device, or have a high latency. We propose MobiDepth, a real-time depth estimation system using the widely-available on-device dual cameras. While binocular depth estimation is a mature technique, it is challenging to realize the technique on commodity mobile devices due to the different focal lengths and unsynchronized frame flows of the on-device dual cameras and the heavy stereo-matching algorithm. To address the challenges, MobiDepth integrates three novel techniques: 1) iterative field-of-view cropping, which crops the field-of-views of the dual cameras to achieve the equivalent focal lengths for accurate epipolar rectification; 2) heterogeneous camera synchronization, which synchronizes the frame flows captured by the dual cameras to avoid the displacement of moving objects across the frames in the same pair; 3) mobile GPU-friendly stereo matching, which effectively reduces the latency of stereo matching on a mobile GPU. We implement MobiDepth on multiple commodity mobile devices and conduct comprehensive evaluations. Experimental results show that MobiDepth achieves real-time depth estimation of 22 frames per second with a significantly reduced depth-estimation error compared with the baselines. Using MobiDepth, we further build an example application of 3D pose estimation, which significantly outperforms the state-of-the-art 3D pose-estimation method, reducing the pose-estimation latency and error by up to 57.1% and 29.5%, respectively.
Rotational Excitations of Polar Molecules on AN Optical Lattice:. from Novel Exciton Physics to Quantum Simulation of New Lattice Models

Ultracold polar molecules trapped on an optical lattice is a many-body system that, under appropriate conditions, may support collective excitations reminiscent of excitons in solid state crystals. Here, we discuss the rotational excitations of molecules on an optical lattice leading to rotational Frenkel excitons. Apart from solid hydrogen, there is no other natural system that exhibits rotational excitons. The rotational excitons have unique properties that can be exploited for tuning non-linear exciton interactions and exciton-impurity scattering by applying an external electric field. We show that this can be used to explore the competing role of the dynamical and kinematic exciton-exciton interactions in excitonic energy transfer and to study quantum localization in a dynamically tunable disordered potential. The rotational excitons can also be used as a basis for quantum simulation of condensed matter models that cannot be realized with ultracold atoms. As an example, we discuss the possibility of engineering the Holstein model with polar molecules on an optical lattice.
Research on intelligent management and control platform of power material storage based on Web

In view of the current problems of time-consuming and poor effect of intelligent management and control of power material warehousing, this paper puts forward the research method of intelligent management and control platform of power material warehousing based on Web. First, combined with web technology, this paper constructs the ERP management model of power material warehousing, improves the ERP management function of power material intelligent warehousing, optimizes the information processing algorithm of power material warehousing, and optimizes the structure and function of the platform. The processing steps of the intelligent management and control platform for power material warehousing are simplified. Finally, the experiment proves that the intelligent management and control platform for power material warehousing based on Web can realize the management of massive warehousing information more quickly in the actual application process, and its running time is shortened by more than 4h, which has high practicability.
Sensorless Control of PMSM With State Estimation PLL Base on Injection of High Frequency Rectangular Signal into Stationary Reference Frame

In this paper, a new method combining high frequency injection in stationary reference system and state estimation PLL (SEPLL) is proposed for the startup and low-speed operation of permanent magnet synchronous motor (PMSM). The high-frequency rectangular signal is injected into the stationary reference frame, and the high-frequency response current of the response is decomposed into the sum of sinusoidal signals by Fourier decomposition, and the response current containing the position information of the rotor is obtained by signal modulation, which reduces the influence of inductance variation on the system. Then, the rotor position is estimated by using SEPLL. Compared with traditional phase locked loop algorithm, this algorithm has stronger robustness to noise, better estimation accuracy and higher response speed even under very high noise. The performance of the method is evaluated by simulation. The results show that the method is less affected by noise and can accurately estimate the rotor position at low speed, with good stability and dynamic performance.