Next decade of telecommunications artificial intelligence by Ye OUYANG, Lilei WANG, Aidong YANG, Maulik SHAH, David BELANGER, Tongqing GAO, Leping WEI, Yaqin ZHANG

“…It has been an exciting journey since the mobile communications and AI were conceived 37 years and 64 years ago.While both fields evolved independently and profoundly changed communications and computing industries, the rapid convergence of 5G and AI is beginning to significantly transform the core communication infrastructure, network management and vertical applications.The individual roadmaps of mobile communications and artificial intelligence in the early stage were firstly outlined, with a concentration to review the era from 3G to 5G when AI and mobile communications started to converge.With regard to telecommunications artificial intelligence, the progress of AI in the ecosystem of mobile communications was further introduced in detail, including network infrastructure, network operation and management, business operation and management, intelligent applications towards BSS ＆amp; OSS convergence, verticals and private networks etc.Then the classifications of AI in telecom ecosystems were summarized along with its evolution paths specified by various international telecommunications standardization bodies.Towards the next decade, the prospective roadmap of telecommunications artificial intelligence was forecasted.In line with 3GPP and ITU-R’s timeline of 5G ＆amp; 6G, the network intelligence following 3GPP and O-RAN routes, experience and intention driven network management and operation, network AI signaling system, intelligent middle-office based BSS, intelligent customer experience management and policy control driven by BSS＆amp; OSS convergence, evolution from SLA to ELA, and intelligent private network for verticals were further explored.It concludes that with the vision AI will reshape the future B5G/6G landscape, and we need fully take the unprecedented opportunities.…”
Get full text

Nature–Inspired Metaheuristic Optimization for Control Tuning of Complex Systems by Jesús Garicano-Mena, Matilde Santos

“…The performance of the ALO and WOA techniques for the tuning of conventional PID controllers is evaluated in relation to the number of agents <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>n</mi><mi>S</mi></msub></semantics></math></inline-formula> and the maximum number of iterations <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>n</mi><mrow><mi>M</mi><mi>a</mi><mi>x</mi><mi>I</mi><mi>t</mi><mi>e</mi><mi>r</mi></mrow></msub></semantics></math></inline-formula>; given the stochastic nature of both methods, repeatability is also addressed. Finally, the computational effort required for their implementation is considered. …”
Get full text

Transforaminal lumbar interbody fusion (TLIF) surgery: A finite element analysis of open and minimally invasive approach on L4-L5 segment by Kishore Pradeep, Bidyut Pal, Kaushik Mukherjee, Gautam M. Shetty

“…Background: To compare the effect of minimally invasive and open transforaminal lumbar interbody fusion (TLIF) approaches in fusing the L4-L5 segment and predicting the potential risk of adjacent segment degeneration (ASD). Methods: A computed tomography scan image was processed and the three-dimensional model of the L1-L5 spine was reconstructed. …”
Get full text

Large-scale S-box design and analysis of SPS structure by Lan ZHANG, Liangsheng HE, Bin YU

“…A class of optimal linear transformation P over a finite field<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <msup> <mrow> <mrow><mo>(</mo> <mrow> <msubsup> <mi>F</mi> <mn>2</mn> <mi>m</mi> </msubsup> </mrow> <mo>)</mo></mrow></mrow> <mn>4</mn> </msup> </mrow></math></inline-formula> was constructed based on cyclic shift and XOR operation.Using the idea of inverse proof of input-output relation of linear transformation for reference, a proof method was put forward that transformed the objective problem of optimal linear transformation into several theorems of progressive relation, which not only solved the proof of that kind of optimal linear transformation, but also was suitable for the proof of any linear transformation.By means of small-scale S-box and optimal cyclic shift-XOR linear transformation P, a large-scale S-box model with 2-round SPS structure was established, and a series of lightweight large-scale S-boxes with good cryptographic properties were designed.Only three kind of basic operations such as look-up table, cyclic shift and XOR were used in the proposed design scheme, which improved the linearity and difference uniformity of large-scale S-boxes.Theoretical proof and case analysis show that, compared with the existing large-scale S-box construction methods, the proposed large-scale S-box design scheme has lower computational cost and better cryptographic properties such as difference and linearity, which is suitable for the design of nonlinear permutation coding of lightweight cryptographic algorithms.…”
Get full text

Addressing Data Imbalance in Crash Data: Evaluating Generative Adversarial Network&#x2019;s Efficacy Against Conventional Methods by Bei Zhou, Qianxi Zhou, Zongzhi Li

“…Given the significantly lower computational resources required by cost-sensitive learning, this approach is recommended for handling imbalanced injury severity data.…”
Get full text

Crisis Spreading Model of the Shareholding Networks of Listed Companies and Their Main Holders and Their Controllability by Yuanyuan Ma, Lingxuan Li

“…Then, the numerical computation method is successfully used to analyze the crisis spreading in the networks when the networks meet random failures or intentional attacks. …”
Get full text

Challenges in Diagnosis and Management of Altered Mental Status in the Setting of Urosepsis and Hydrocephalus Secondary to an Occlusive Cyst of the Fourth Ventricle: A Case Report by Matthew Van Ligten, Miles Hudson, Jonathon J. Parker, Wayne A. Martini

“…Brain imaging, including magnetic resonance imaging (MRI) and computed tomography (CT), facilitated the diagnosis, suggesting hydrocephalus with downward tonsillar herniation. …”
Get full text

Facies-Constrained Kriging Interpolation Method for Parameter Modeling by Zhenbo Nie, Bo Feng, Huazhong Wang, Chengliang Wu, Rongwei Xu, Chao Ning

“…Furthermore, the FC-Kriging method does not introduce additional computational complexity, making it convenient to implement in a 3D situation. …”
Get full text

Research on the Revolution of Multidimensional Learning Space in the Big Data Environment by Weihua Huang

“…However, the cluster computing system for hybrid big data applications has the characteristics of heterogeneous requirements, which makes more and more cluster resource managers support fine-grained multidimensional learning resource management. …”
Get full text

A multimodal multistream multilevel fusion network for finger joint angle estimation with hybrid sEMG and FMG sensing by Zhouping Chen, Mohamed Amin Gouda, Longcheng Ji, Hong Wang

“…The experimental results suggest that the MMMFNet has higher estimation accuracy (RMSE: 6.225±0.276 vs. 6.953±0.282, R2: 0.879±0.019 vs 0.846±0.021), shorter training time (4.146±0.074 min vs. 16.536±0.430 min), and lower computational complexity (5.4×106 FLOPs vs 8.8×106 FLOPs) than state-of-the-art fusion methods. …”
Get full text

3D Fusion Framework for Infarction and Angiogenesis Analysis in a Myocardial Infarct Minipig Model by Xu Zhenzhen PhD, Bo Tao PhD, MD, Yu Li MSc, Jun Zhang PhD, Xiaochao Qu PhD, Feng Cao PhD, Jimin Liang PhD

“…In this study, a 3D fusion framework is designed to integrate coronary computed tomography (CT) angiography (CTA), 2-deoxy-2-[ 18 F]fluoro-D-glucose ([ 18 F]DG) positron emission tomography (PET)/CT, and [ 68 Ga]-1,4,7-triazacyclononane-1,4,7-triacetic acid-(Arg-Gly-Asp)2 ([ 68 Ga]-NOTA-PRGD2) PET/CT images of the myocardial infarction model in minipigs. …”
Get full text

Multiple Levels of Letter Representation in Written Spelling: Evidence From a Single Case of Dysgraphia with Multiple Deficits by Marie-Pierre de Partz, Aliette Lochy, Agnesa Pillon

“…We argue that these contrasting patterns of letter error distribution result from damage to two distinct levels of letter representation and processing within the spelling system, namely, the amodal graphemic representation held in the graphemic buffer and the letter form representation computed by subsequent writing-specific processes. …”
Get full text

Numerical Simulation of Turbulent Fluid Flow and Heat Transfer in a Ribbed Rotating Two-Pass Square Duct by Liou Tong-Miin, Chen Shih-Hui, Li Yi-Chen

“…<p>The local turbulent fluid flow and heat transfer in a rotating two-pass square duct with 19 pairs of in-line <math alttext="$90^{circ}$"><msup><mn>90</mn> <mo>&compfn;</mo> </msup> </math> ribs have been investigated computationally. A Reynolds-averaged Navier-Stokes equation (RANS) with a two-layer <math alttext="${k}-varepsilon$"><mi>k</mi> <mo>&minus;</mo> <mi>&varepsilon;</mi> </math> turbulence model was solved. …”
Get full text

A rare case of temporal arteritis in a young Indian male by Debaditya Roy, Susmita Rakshit, Azeez Pasha, Abhishek Patil

“…Surrounding areas showed minimal inflammatory changes which were further reconfirmed by computed tomography. Left temporal artery biopsy showed thickening of the tunica media and adventitia with the fragmentation of the internal elastic membrane. …”
Get full text

Rapid estimation method of lithium battery state of health based on novel health feature by DONG Xiaohong, DONG Jinbo, WANG Mingshen, ZENG Fei, PAN Yi

“…Most data-driven lithium battery SOH estimation methods are computationally intensive and difficult to use in real-time in battery management system microcontrollers. …”
Get full text

Association of systemic immune-inflammation index with all-cause and cardiovascular mortality among adults with depression: evidence from NHANES 2005–2018 by Xinping Yu, Heqing Zheng, Mingxu Liu, Lanxiang Wu, Sheng Tian, Wei Wu

“…Cox proportional hazards regression models to compute hazard ratios (HR) and 95% confidence intervals (CI) for mortality.The restricted cubic spline(RCS), Kaplan-Meier curve analysis, time-dependent ROC analysis, subgroup and sensitivity analyses were also used. …”
Get full text

Proven secure blind adaptor signature scheme based on the SM2 by HU Xiaoming, CHEN Haichan

“…Performance analysis indicates that the computational overhead of the SM2 blind adaptor signature scheme is minimal, with the total operation time of the signature process only increasing by a negligible 5.91ms compared to the SM2 adaptor signature scheme. …”
Get full text

Implications for cost and access of site-of-service referrals for ancillary medical services in a US Medicaid population: analysis of claims data from Maryland, USA by Maqbool Dada, Simrita Singh, Kelsey J Rydland, Chester Chambers, Vishal Mundlye, Edward Kumian, Kayode Ayodele Williams

“…We also quantified the implications of this shift on access to services, with a focus on differences in access between rural and urban patients for a Medicaid (disadvantaged) population in Maryland, USA.Design Using a dataset of all Medicaid claims records for 1 year, we identified and extracted all bundles of regulated and unregulated ancillary services. Geospatial computing was used to approximate transportation costs required to access services. …”
Get full text

Varicella Zoster Virus-induced Acute Retinal Necrosis Following Acute Meningoencephalitis in a Patient with Presumed COVID-19 by Kiana Hassanpour, Faezeh Khorasanizadeh, Mahmood Nabavi, Narsis Daftarian, Alireza Ramezani

“…Magnetic resonance imaging (MRI), cerebrospinal fluid (CSF) analysis, polymerase chain reaction (PCR) of the aqueous humor, reverse transcription polymerase chain reaction (RTPCR) of the nasopharyngeal swab specimen, chest computed tomography (CT), and fundus photography were performed for the patient. …”
Get full text

Data-Driven Technologies for Energy Optimization in Smart Buildings: A Scoping Review by Joy Dalmacio Billanes, Zheng Grace Ma, Bo Nørregaard Jørgensen

“…The key technologies identified included big data analytics, Artificial Intelligence, Machine Learning, the Internet of Things, Wireless Sensor Networks, Edge and Cloud Computing, Blockchain, Digital Twins, and Geographic Information Systems. …”
Get full text