Public management of smart cities: European experience by S. A. Zakharova

“…The third group of publications deals with critical aspects of the development of smart governance in practice and the resulting consequences, in particular, the reassessment of the ability of the private sector to develop and implement intelligent technologies, the predominance of a technocratic approach to decision-making, the inability to ensure impartiality and objectivity, the lack of the ability to analyse urban data, cloud computing on digital platforms to stimulate production in a collaborative environment. …”
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Detection Schemes With Low-Resolution ADCs and Spatial Oversampling for Transmission With Higher-Order Constellations in Terahertz Band by Christian Forsch, Peter Zillmann, Osama Alrabadi, Stefan Brueck, Wolfgang Gerstacker

“…Here, 1-, 2-, and 3-bit quantization is investigated with different oversampling factors. We analytically compute the statistics of the detection variable, and we propose the optimal and several suboptimal detection schemes for arbitrary quantization resolutions. …”
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Structural performance of additive manufactured wood-sodium silicate composite beams for sustainable construction by Hojat Hematabadi, Adefemi A Alade, Robert HR Carne, Daniel Robertson, Milinda Yapa, Armando G. McDonald, Ahmed A. Ibrahim

“…The greatest shear stress of the single-layer beams were computed 4.27% and 0.46% higher than those of the two-layer beams at span-to-height proportions of 6 and 30, respectively.…”

Diagnosis of COVID-19 from Chest X-Ray Images Using Wavelets-Based Depthwise Convolution Network by Krishna Kant Singh, Akansha Singh

“…The use of radiological examinations that comprise Computed Tomography (CT) can be used for the diagnosis of the disease. …”
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Effects of Environmental and Disturbance Factors on Plant Community Distribution in Tropical Moist Afromontane Forests, South-West Ethiopia by Semegnew Tadese, Teshome Soromessa, Getaneh Gebeyehu

“…The distribution of plant communities along an environmental gradient was computed using canonical correspondence analysis (CCA). …”
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Deep Learning Applications in Ionospheric Modeling: Progress, Challenges, and Opportunities by Renzhong Zhang, Haorui Li, Yunxiao Shen, Jiayi Yang, Wang Li, Dongsheng Zhao, Andong Hu

“…With the continuous advancement of deep learning algorithms and the rapid growth of computational resources, deep learning technology has undergone numerous milestone developments, evolving from simple BP neural networks into more complex and powerful network models such as CNNs, LSTMs, RNNs, and GANs. …”
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Fluid flow characteristics estimation of a new integrated bifluid/airbased photovoltaic thermal system utilizing a hybrid optimization method by Ghassan A. Bilal, Abdullateef A. Jadallah, Omayma M. Abdulmajeed, Müslüm Arıcı

“…This paper aims to utilize soft computing techniques in predicting the outlet fluids’ temperatures for monitoring based on the experience of outdoor experiments. …”
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Identification and prioritization of factors affecting the saffron supply chain and selection strategies during the pandemic crisis based on the ANP-SWOT method by Farshid Riahi Dorcheh, Misagh Rahbari

“…Subsequently, the weights of the criteria, sub-criteria, and priorities of the presented strategies are computed using the AHP-SWOT and ANP-SWOT methods. Finally, data were acquired through the systematic collection of expert opinions using the Delphi method.FindingsAccording to the prioritization of saffron export development strategies during the COVID-19 pandemic based on the AHP-SWOT method, “Performing marketing research in universities” and “Creating international associations and using anti-COVID-19 tools” were identified as the most important strategies. …”
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Tailoring the Anomalous Hall Effect in van der Waals Ferromagnet Fe3GeTe2 by WU Kaile, WANG Junshan, JIANG Jiaolin, CHAI Qian, WANG Qin, SANG Shengbo, GE Yang

“…Two-dimensional van der Waals magnetic materials have shown fascinating natural ferromagnetic properties at the atomic level, which has great potential in the fields of low power spintronics, quantum computing, and optical communication. [Methods] Herein, the ferromagnetism and magnetic anisotropy of bulk Fe3GeTe2 (FGT) were investigated. …”
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Thoracic Endovascular Aortic Repair for Blunt Thoracic Aortic Injury: A Report of Three Cases in Which Surgeries Were Performed at Different Timings by Yohei Kawatani, Hirotsugu Kurobe, Yoshitsugu Nakamura, Yuji Suda, Takaki Hori

“…His hemodynamic status was stable and enhanced computed tomography revealed intraluminal hematoma. …”
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Therapeutic potential of 4-hexylresorcinol in reducing sarcopenia in diabetic masseter muscle by Dhouha Gaida, Young-Wook Park, Yei-Jin Kang, Seong-Gon Kim

“…Muscle volume was assessed using micro-computed tomography (μCT), and glycogen storage and protein expression were analyzed using periodic acid-Schiff (PAS) staining and immunohistochemistry. …”
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Efektivitas pendekatan konseling trait and factor dengan teknik modelling untuk meningkatkan kematangan karir siswa di sekolah menengah kejuruan by Ni Made Meliza Krisdiyanti, I Ketut Dharsana, Ni Ketut Suarni

“…Additionally, it can be deduced that the effect size is 1.07 0.50 by applying the Jacob Cohen formula to the computation of the effect size. In order for Ho to accept Ha…”
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Doppler Effect Estimation and Compensation for Satellite Systems in Geolocation Problems by Marcello Asciolla, Angela Cratere, Francesco Dell'Olio

“…Furthermore, data fitted from simulations show that a first degree polynomial model has a maximum error prediction on the order of less than 0.01 percent around Nadir pointing and can be appealing for fast computation of this correction with low-cost hardware based on Field Programmable Gate Array.…”
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LEAF-YOLO: Lightweight Edge-Real-Time Small Object Detection on Aerial Imagery by Van Quang Nghiem, Huy Hoang Nguyen, Minh Son Hoang

“…Advances in Unmanned Aerial Vehicles (UAVs) and deep learning have spotlighted the challenges of detecting small objects in UAV imagery, where limited computational resources complicate deployment on edge devices. …”
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Correlation effects in magic-angle twisted bilayer graphene: An auxiliary-field quantum Monte Carlo study by Zhi-Yu Xiao, Shiwei Zhang

“…Accurate and reliable many-body computations in the IBM model are challenging, however, and have been limited mostly to special fillings or smaller lattice sizes. …”
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What is the frequency of anterior syndesmosis injury in posterior malleolus fracture? by Krzysztof Janik, Dariusz Grzelecki

“…Methods Seventy-five consecutive patients who underwent surgery for ankle fractures involving posterior malleolus were prospectively included. Preoperative computed tomography scans in two planes (transverse and sagittal) were used to assess the presence and size of avulsion fractures (LeFort-Wagstaffe and Tillaux-Chaput). …”
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Independent Component Analysis-Based Harmonic Transfer Impedance Estimation for Networks with Multiple Harmonic Sources by Mateus M. de Oliveira, Leandro R. M. Silva, Igor D. Melo, Carlos A. Duque, Paulo F. Ribeiro

“…The effectiveness and performance of the method are demonstrated based on computational simulations using distribution and transmission systems. …”
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Carbon and nitrogen stocks and distributions associated with different vegetation covers and soil profiles in Abisko, northern Sweden by Hugo M.G. Potier, Xavier Raynaud, Yannick Agnan, Alienor Allain, Maryse Castrec-Rouelle, Veronique Vaury, Luc Abbadie, Marie A. Alexis

“…Multivariate analyses were used to define dominant vegetation and soil profile types, and carbon and nitrogen stocks were computed and compared across these types. Shrub-dominated and graminoid-dominated vegetation types presented similar carbon stocks but different nitrogen stocks, and shrub-dominated environments presented significantly higher proportions of their stocks distributed in the long-lived (i.e., woody) compartment. …”
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Advances in Biomedical Missing Data Imputation: A Survey by Miriam Barrabes, Maria Perera, Victor Novelle Moriano, Xavier Giro-I-Nieto, Daniel Mas Montserrat, Alexander G. Ioannidis

“…To address the complex nature of missing values and the unique characteristics of biomedical data, a diverse spectrum of computational imputation techniques has emerged. These methods range from traditional statistical analysis to more modern approaches such as discriminative machine learning models and deep generative networks. …”
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Decoding cyanide toxicity: Integrating Quantitative Structure-Toxicity Relationships (QSTR) with species sensitivity distributions and q-RASTR modeling by Kabiruddin Khan, Ramin Abdullayev, Gopala Krishna Jillella, Varun Gopalakrishnan Nair, Mahmoud Bousily, Supratik Kar, Agnieszka Gajewicz-Skretna

“…Key molecular descriptors, including topological, geometrical, and electronic properties, were computed using ALOGPS 2.1, ChemAxon, and Elemental-Descriptor 1.0. …”
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