Observation of the non-Hermitian skin effect and Fermi skin on a digital quantum computer by Ruizhe Shen, Tianqi Chen, Bo Yang, Ching Hua Lee

“…To minimize errors from inevitable device noise, time evolution is performed using trainable, variationally optimized quantum circuits. …”
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Significance of a written text in human activities by A. A. Vereshchagina

“…One of the most widespread forms of thinking activity realization, which at the same time allows to present the versatility and uniqueness of a human’s personality, is a written text. …”
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Impact of Different Mode Decomposition Methods Combined with LSTM Models on Daily Runoff Forecasting by TAN Yongjie, WANG Xianxun, DUAN Mingxu, LIU Yaru, YAO Huaming

“…A combination of modal decomposition and deep learning forecasting methods was introduced to daily runoff forecasting to address the characteristics of unstable and volatile daily runoff series.Firstly,the complete ensemble empirical modal decomposition method was used to decompose the daily runoff time series,so as to obtain the modal components of different frequency components.Secondly,the daily runoff forecasting model was constructed for different modal components based on the long short-term memory neural network (LSTM),and the hyperparameters of the forecasting model were optimized using the grid search parametric optimization algorithm.Finally,the forecasting results of each model were modally reconstructed to obtain daily runoff forecasting results.The daily runoff forecasting of the Yichang hydrological station was taken as an example.Compared with the single LSTM,the RMSE,MAE,and MAPE of the proposed combination model were reduced by 65.02%,58.35%,and 2.88%,respectively.The decomposition effect of the complete ensemble empirical mode decomposition was better than that of the traditional modal decomposition method,which provided a new method and reference for nonlinear and non-stable daily runoff forecasting in a short time scale.…”
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Settlement of Dispute on Murabahah Financing with Default Customer by Nawir Yuslem, Mhd. Yadhi Harahap, Darmansyah Hasibuan

“…The Supreme Court's decision Number 649 K/AG/2017 does not reflect a fully progressive decision, for the bank and also for the customer, the decision has not received a value of benefit, because the Supreme Court judge does not give a time limit to customers who are considered unable to make payments in accordance with the agreement (default) to reschedule (rescheduling), in the absence of such a time limit, provides an opportunity for customers who are in default to prolong the delay in payment so that this can be detrimental to the bank.…”
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The Management of Catatonia in Bipolar Disorder with Stimulants by Waheed K. Bajwa, Ali Rastegarpour, Omar A. Bajwa, Jessica Babbitt

“…While this is not the first time this treatment has been suggested, there is very little data in support of it; our case confirms the discoveries of previous case reports.…”
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A multi-source threat intelligence confidence value evaluation method based on machine learning by Hansheng LIU, Hongyu TANG, Mingxia BO, Jianfeng NIU, Tianbo LI, Lingxiao LI

“…During the collection process of multi-source threat intelligence,it is very hard for the intelligence center to make a scientific decision to massive intelligence because the data value density is low,the intelligence repeatabil-ity is high,and the ineffective time is very short,etc.Based on those problems,a new multi-source threat intelligence confidence value evaluation method was put forward based on machine learning.First of all,according to the STIX intelligence standard format,a multi-source intelligence data standardization process was designed.Secondly,ac-cording to the characteristic of data,14 characteristics were extracted from four dimensions of publishing time,source,intelligence content and blacklist matching degree to be the basis of determining the intelligence reliability.After getting the feature encoding,an intelligence confidence value evaluation model was designed based on deep neural network algorithm and Softmax classifier.Backward propagation algorithm was also used to minimize recon-struction error.Last but not least,according to the 2 000 open source marked sample data,k-ford cross-validation method was used to evaluate the model and get an average of 91.37% macro-P rate and 84.89% macro-R rate.It was a good reference for multi-source threat intelligence confidence evaluation.…”
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Una valutazione col pilota automatico? Una riflessione sulle cose che possiamo guadagnare e quelle che rischiamo di perdere impiegando l’intelligenza artificiale nei processi valut... by Cristiano Corsini

“…Thus, it is possible to use the generated content to support a phase of the evaluation process that normally dilutes time and makes the workload difficult to sustain. …”
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Coupled Optimization of UAV Cluster Path Optimization and Task Assignment on a Mobile Platform by Gaohua Fu, Yexin Song, Yanjie Wu

“…Combining the takeoff and landing time-window constraints with the range and mission resource constraints, this mission planning model is established with the objective of maximizing the efficiency ratio of mission revenue–UAV damage consumption. …”
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New records of genera and species of moth flies (Diptera, Psychodidae: Psychodinae) from Morocco by Imane Saidoun, Mohamed Amin El Mouden, Samia Boussaa, Boutaïna Belqat

“…In addition, three species and one species are new to the Rif and the Beni Snassen mountains, respectively, seven species are cited for the first time in the Atlas region and one species is new to the Sahara region. …”
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Digital Twins. HBIM information repositories to centralize knowledge and interdisciplinary management of architectural heritage by Luis Cortés Meseguer, Jorge García Valldecabres

“…The older the monument is, the greater the knowledge of the built element must be before any intervention and this requires a lot of time in prior research and which can develop prior studies, in addition to the economic cost that it entails. …”
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Numerical Simulation for Rock Fracture Viscoelastic Creep under Dry Conditions by Hao Kang, Herbert Einstein, Stephen Brown, John Germaine

“…In field conditions, the hydraulic and mechanical behavior of rock fractures changes with time (the rock fractures creep), and this creep is not negligible even under dry conditions. …”
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Resilient Event Triggered Interval Type-2 Fuzzy Sliding Mode Control for Connected and Autonomous Vehicles Subjected to Multiple Cyber Attacks by Amir Mohammed, Craig Ramlal, Lincoln Marine, Fasil Muddeen

“…Conditions were then provided that guarantee global asymptotic stability for a minimum dwell-time constraint T, and the platoon was shown to be string stable for the minimum distance between vehicles, denoted as dˇcth. …”
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Multi-agent resource allocation strategy for UAV swarm-based cooperative sensing by Zhihong WANG, Supeng LENG, Kai XIONG

“…Driven by the development of intelligent internet of things (IoT) technology, unmanned aerial vehicle (UAV) swarms have been widely used for sensing and monitoring in emergency and rescue scenarios.The UAVs automatically sense and discover mission targets in the mission area, recruiting neighboring UAVs to form perception and computation task groups to collaboratively complete the perception, acquisition and processing of data.However, repetitive sensory data and imbalance in the supply and demand of computational resources between multiple tasks cause additional computational and communication overheads and increase the end-to-end processing latency.To address this challenge, a multi-task resource allocation approach combining bionics and multi-agent independent reinforcement learning was proposed, making collaborative resource allocation decisions based on local task information.The method represents the resource requirements of individual tasks as situational information concentrations and dynamically updates the heterogeneous resource requirements of each task by spreading the situational information across task groups.At the same time, it combines multi-agent independent reinforcement learning methods for intelligent decision making in order to collaboratively allocate the heterogeneous resources of each task.Simulation results show that this solution can not only effectively reduce the task execution time, but also significantly improve the computational resource utilization.…”
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Models of Anisotropic Self-Gravitating Source in Einstein-Gauss-Bonnet Gravity by G. Abbas, M. Tahir

“…Each solution can be represented in term of arbitrary function of time; this function has been chosen arbitrarily to fit the different astrophysical time profiles. …”
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Platelet Distribution Width: A Severity Marker Of Pre Eclampsia, Experience At Tertiary Care Hospital by Mariam Zahir, Shagufta Saeed Sial, Humera Noreen

“…Raised values can help the obstetrician to actively manage the patients in time to reduce maternal and fetal mortality. …”
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Client-Driven Joint Cache Management and Rate Adaptation for Dynamic Adaptive Streaming over HTTP by Chenghao Liu, Miska M. Hannuksela, Moncef Gabbouj

“…Simulation results show that the proposed method outperforms the conventional segment-fetch-time-based rate adaptation and the proxy-driven proxy cache management significantly not only in streaming quality at the client but also in bandwidth and storage usage in proxy caches.…”
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Assessment of Active Vertical Carbon Transport: New Methodology by L.E. Kwong, E.A. Pakhomov

“…Estimating active carbon transport in aquatic ecosystems has proven to be a labor-intensive and time-consuming process. This study proposes a novel approach to assess active carbon transport of zooplankton and micronekton based on the biomass spectra theory. …”
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An Empirical Analysis of the Role of Piano Performance in Alleviating Psychological Trauma in People with Psychological Isolation Disorder by Xia Cao

“…In this paper, we designed a music modulation system based on EEG signals of people with isolation disorder and designed an interface with real-time emotion recognition. MATLAB is responsible for data processing and classification, while Python is responsible for communication and real-time transmission between modules, EEG signal collection, and processing. …”
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Data-based regression models for predicting remifentanil pharmacokinetics by Prathvi Shenoy, Mahadev Rao, Shreesha Chokkadi, Sushma Bhatnagar, Naveen Salins

“…Conclusion: Applying ML algorithms in drug delivery can significantly reduce resource costs and the time and effort essential for laboratory experiments in the pharmaceutical industry.…”
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Sous les vagues bleues, le paysage by Christophe Camus

“…The history of diving is well documented, but our study focuses on the ways in which it was described, narrated and shown in order to invent a landscape that for a long time had remained invisible and inaccessible to ordinary people. …”
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