Abstract: This chapter deals with the basic understanding of the deep learning model. It starts with a view of artificial intelligence, machine learning, and deep learning. It also represents how these three concepts are related to each other. The entire chapter is divided into three sections where Section 1 represents the evolution of deep learning models, Section 2 talks about the components of neural network, and Section 3 captures working of neural network models and different types. The chapter starts with introduction to Neurodegenerative Diseases and lastly the chapter gives a thorough implementation of neural network model by considering a Parkinson's case study along with the Python code. It also clearly interprets the metrics of evaluation based on the classification neural network model.

Abstract: This paper delves into the practical applications and effectiveness of two prominent text representation methods, the Bag-of-Words (BoW) model and Term Frequency-Inverse Document Frequency (TF-IDF), in the realm of Natural Language Processing (NLP). It commences with an introductory overview of NLP and its pivotal role in the broader field of Artificial Intelligence (AI), elucidating the importance of enabling computers to comprehend and manipulate human language. Subsequently, a comprehensive elucidation of the underlying principles and implementation of these two methods is provided. By conducting a comparative analysis of their respective strengths and weaknesses, the paper endeavors to ascertain the most suitable model for a diverse range of scenarios. The study reveals that while the BoW model proves to be effective for tasks involving short text classification, TF-IDF emerges as the preferred choice for applications such as search engines and keyword extraction. This is attributed to TF-IDF's ability to discern the significance of words within a document in relation to a corpus, thereby mitigating the influence of common but less meaningful words. In conclusion, the paper highlights the significance of AI advancements in shaping the future landscape of NLP. The integration of neural networks and deep learning has revolutionized the field, enabling more sophisticated text representations and enhancing performance in areas such as speech recognition, machine translation, and sentiment analysis. The paper underscores the dynamic nature of NLP and its continual evolution in tandem with AI technologies, offering promising prospects for future research and application development.

Abstract: The rapid development of manufacturing techniques and material science enables advanced hot-rolled ultra-high strength steel (UHSS) with material grades up to S960 to be available recently. The structural performance of S960 hot-rolled UHSS seamless circular hollow section (CHS) beam–columns manufactured through the advanced fabrication approach was experimentally and numerically investigated and reported in this paper. In physical testing, totally ten beam–column specimens were tested, with the complementary material testing and initial global geometric imperfection measurements through the innovative digital image correlation (DIC) method performed. FE modeling was then carried out; FE models of S960 hot-rolled UHSS seamless CHS beam–columns were established and then validated the test observations in terms of the failure loads and the load–mid-height lateral displacement curves. Parametric studies were thereafter performed, with cross-section dimensions, member lengths and loading combinations varying within a certain range, resulting in the additional 300 data to be acquired. Finally, the applicability of existing design methods, as prescribed in the European code, the Australian standard and the American specification, to S960 hot-rolled UHSS seamless CHS beam–columns was evaluated. It can be concluded from the evaluation results that all the three design codes provide accurate and consistent failure load predictions for S960 hot-rolled UHSS seamless CHS beam–columns.

Abstract: Abstract Nowadays, hybrid structures, which combine low‐density composites with low‐cost thin‐walled metals, have shown great effect in enhancing the performance of automotive body structures, especially the energy absorber components. This study focuses on the experimental and numerical investigation of the bending energy absorption behavior of CFRP/aluminum hybrid double hat‐section beams used in the side part of the car body. In the experimental section, two types of double hat‐section beams were fabricated: aluminum and Al/CFRP. These beams were then subjected to quasi‐static three‐point bending tests. The results demonstrated that the hybrid beam exhibited superior energy absorption capabilities compared to the single beam. Subsequently, a finite element model was developed using LS‐Dyna software and was validated by comparing the experimental and numerical load–displacement results. In‐depth numerical analyses were conducted to investigate the influence of various design parameters, including CFRP‐reinforcement configuration, numbers of CFRP layers, CFRP ply‐angle, CFRP reinforced length, and aluminum/CFRP mass, on crashworthiness indicators. The numerical findings indicate that the hybrid beam with , ply‐angles exhibited better crash force efficiency (CFE) and specific energy absorption (SEA) compared to other ply‐angles, respectively. Furthermore, increasing the number of CFRP layers within the total beam's mass improved its energy absorption capacity. It was also revealed that the CFRP length on the upper and lower hats could be considered as 42.5% of the total aluminum beam length, as opposed to the full CFRP length, providing enhanced energy absorption capabilities. Highlights Bending behavior of the Al and Al/CFRP double hat section beams. Effects of variable thickness and identical mass on the double hat section beam. Effects of variable ply angle and number of CFRP layers on the hybrid beams. Discrete effect of CFRP reinforcement configurations and inner CFRP lengths.

Abstract: Abstract Aiming at the reasonable width of the narrow coal pillar of a fully mechanized caving face and the safety support of roadway, taking the coal pillar in the section between 110503 and 110505 face of the Yushuling Coal mine as the research background, a model of the hard basic roof fracture structure of fully mechanized caving face is established through theoretical analysis, and the roadway with narrow coal pillar is analyzed mechanically. Combined with the geological conditions of the working face, it is concluded that the low‐stress area is less than 3.29 m. When the internal stress field of the low‐stress environment is considered in the roadway layout, the influence of mining and the essential roof hardness should be considered. The reasonable size of the narrow coal pillar is 3 ~ 6 m, thinking that the load borne by the coal pillar is less than the ultimate strength of the coal pillar. The limit equilibrium theory calculates that the reasonable width of a coal pillar is at least 4 m. The stress and displacement of coal pillars with different widths of 3, 4, 5 and 6 m are analyzed by numerical simulation, and the 4 m narrow coal pillars are simulated and verified. Field industrial tests show that coal pillar and roadway surrounding rock deformation are small under asymmetric surrounding rock control. The research results have been successfully applied to engineering practice and can provide a reference for the research method of narrow coal pillar width under a hard basic roof.

Abstract: Background: The medulla distinguishes nausea and vomiting. Intra-operative nausea and vomiting (IONV) can occur up to 80% of the time following spinal anesthesia for caesarean delivery. Patients are uncomfortable and surgery is halted. Aims: This meta-analysis examines the effects of ondancentron on IONV, hypertension, and pruritus. Methods: The databases examined were CINAHL, PubMed, ScienceDirect, Wiley, and Scopus, with coverage from September 2014 to July 2024. Article text must be complete with Uji Coba Terkendali Acak design and published in English. They used R-Studio 4.3.1 m, Comperhesivif Meta-Analysis 3.3.070, and Review Manager Cochrane 5.4.1 for lunak and risk analysis. Results: The heterogeneity analysis of on- and centron residuals on IONV indicated I-squared (I2) of 99%, hypotension I2=98%, and pruritus I2=97% for 1103 people in thirteen studies. The Random Effect Model revealed a significant positive effect on Standard Mean Difference (SMD) analysis (IONV = 5.77, 95% CI: 0.58, 10.95; p=<0.01), decreased hypotension (SMD = -2.14, 95% CI: -4.80, 0.52= p=<0.01), and pruritus incidence (SMD = 0.67, 95%). CI = -1.48 to 2.83; p < 0.01. The meta regression subgroup revealed a significant decrease in IONV in the first 5 minutes with an Odds Ratio of 0.38 (95%-CI 0.04 to 3.62; p=<0.01) for the 4mg dose. Conclusions: While useful in controlling perioperative and hypotension, ondansentron may exacerbate pruritus. Ondansentron dose and pruritus effects need additional study.

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Abstract: Fetal cardiac ultrasound is a valuable tool for screening fetal cardiac health during pregnancy. Ultrasound standard section testing is an essential part of fetal heart ultrasound diagnosis. Due to the many scattered and partially similar anatomical structures in standard ultrasound views of the fetal heart, the results strongly depend on the clinical experience and knowledge of the sonographer. To improve detection efficiency and reduce misdiagnosis and omission, we propose a single-stage fetal cardiac ultrasound standard plane detection model (FCUM) based on multitask learning and a hybrid attention mechanism to assist sonographers in diagnosis. The feature fusion pyramids of the backbone and detection networks of this model are each embedded with a hybrid attention mechanism module of our design, which enables the multitasking network to extract shared features more accurately and efficiently and improves the accuracy of the detection and classification networks. We designed a classification module for multilayer residual network feature fusion that leads to better classification and faster convergence time. We conducted comprehensive experiments on a dataset of fetal cardiac ultrasound images acquired with several types of devices and in different geographic regions. The experimental results show that our model outperforms baseline models such as YOLOv8 and ResNet-50 in terms of detection precision and classification accuracy.

Abstract: Postpartum haemorrhage (PPH) is common and potentially life-threatening. The antifibrinolytic drug tranexamic acid (TXA) is recommended for treating PPH; it reduces the risk of death from haemorrhage by one-third when given soon after bleeding onset, but not overall risk of death. Interest in whether TXA may be effective in preventing PPH is growing. Evidence indicates that TXA given more than three hours after injury to bleeding trauma patients increases mortality. Potential harm becomes critical in prophylactic use of TXA. Reliable evidence of the effect and safety profile of TXA is required before widespread prophylactic use can be considered.

Abstract: Due to the complex spatial features of geological formation, it remains a significant challenge to accurately predict geological cross-sections from limited borehole data. This study develops an innovative multi-spatial receptive field (MSRF) XGBoost approach, which encompasses classification and identification modules to forecast geological cross-sections using sparse borehole data. The classification module exclusively employs sparse borehole data to train a series of MSRF XGBoost models for soil classification. The identification module leverages all the trained models to generate potential predictions of unknown soil strata, automatically pinpointing the optimal one via Gaussian filtering and boundary similarity algorithms. A new boundary accuracy criterion is proposed to assess the prediction capacity of different models. Following this, the developed MSRF XGBoost method is compared with an existing conventional XGBoost method using both linear and nonlinear cases. The findings illustrate that our proposed method enhances the prediction accuracy for both linear and nonlinear geological cross-sections. Furthermore, the developed method is employed to determine a geological cross-section in the Netherlands using open-source borehole data. The accuracy of the method in predicting soil layers in all in situ boreholes reaches an impressive 90%, validating its effectiveness in practical geotechnical engineering.

Abstract: An experimental investigation to assess the major-axis flexural behaviour of 10 hot-rolled steel I-section beams, strengthened by the addition of material through wire arc additive manufacturing (WAAM) and tested under either four-point or three-point bending conditions, is presented in this study. The ability of WAAM to pre-camber hot-rolled steel I-section beams, as well as to enhance their bending moment resistance and initial elastic stiffness, has been demonstrated. The geometry of the strengthened beam specimens, including the initial imperfections and pre-camber, were obtained by means of 3D laser scanning. Complementary material testing was conducted to obtain the mechanical properties of both the hot-rolled and WAAM steel under monotonic tensile loading. The experimental results showed that significant pre-cambers of approximately 1/200 of the span of the beam could be achieved with only a 2.6% increase in mass. Moreover, increases of between 11.5% and 33.2% in the ultimate bending moment resistance, and increases of between 8.7% and 35.9% in the initial stiffness, were achieved for increases in mass of between just 2.6% and 12.3%. The presented WAAM-strengthening approach can be employed for the strengthening, repair and retrofitting of steel beams in service, as well as for the fabrication of hybrid steel members with improved flexural behaviour in new structures.

Abstract: Pultruded materials made of Fiber-Reinforced Polymer (FRP) come in a broad range of shapes, such as bars, I-sections, C-sections, etc. FRP materials are starting to compete with steel as structural materials owing to their great resistance, low self-weight, and cheap maintenance costs, especially in corrosive conditions. This study aims to evaluate the effectiveness of a novel concrete Composite Column (CC) using Encased I-Section (EIS) as a reinforcement in contrast to traditional steel bars by using Glass Fiber-Reinforced Polymer (GFRP) as I-section (CC-EIS) to evaluate the effectiveness of the hybrid columns which have been built by combining GFRP profiles with concrete columns. To achieve the aims of this study, nine circular columns with a diameter of 150 mm and a height of 1000 mm were cast with compression strength equal to 42.4 MPa at the test day. The research involved three different types of reinforcement: Hybrid circular columns with GFRP I-section and 1% reinforcement ratio of steel bars, Hybrid circular columns with steel I-section and 1% reinforcement ratio of steel bars (the cross-section area of the I-section was the same for GFRP and for steel), and a reference column without an I-section. This study investigates the ultimate capacity, axial and lateral deformation, and failure mode of the circular columns under different loading conditions: concentric, eccentric (with eccentricities of 25 mm), and flexural loading. The results showed that the ultimate capacity of the composite columns using either encased steel I-section or GFRP I-section was higher than the traditional columns under all loading conditions. The concentric tested specimens, with steel I-section and with GFRP I-section, exceeded the ultimate strength of the reference specimen by 8.9% and 2.9%, respectively. Specimens with steel I-section and GFRP I-section achieved 11.9% and 9.7% higher ultimate strength than the reference specimens under a compression load of 25 mm eccentricity. Specimens with steel I-section and the specimens with GFRP I-section achieved ultimate strengths of 114.3% and 36.6% under flexural loading testing.

Abstract: BACKGROUND AND OBJECTIVE The aim of our review was to comprehensively evaluate the impact of pulse modulation technology in the field of endourology, with a focus on laser lithotripsy and prostate enucleation. METHODS A systematic search was conducted in the PubMed, MEDLINE, and Scopus databases for articles published during the past 20 yr (January 2004-July 2024). Article selection adhered to the Population, Intervention, Comparator, Outcome (PICO) framework and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. In vivo, ex vivo, in vitro, and clinical studies that reported on the impact of pulse modulation technologies in laser lithotripsy or prostate enucleation in comparison to a standard references or as a standalone report, with a focus on stone ablation efficiency, safety, tissue ablation, and hemostasis, were eligible. A total of 29 articles were included. KEY FINDINGS Pulse modulation is a feature mostly implemented for Ho:YAG laser generators. Preclinical studies on pulse modulation have demonstrated promising results for both stone fragmentation and laser-tissue interaction. Clinical studies that investigated technologies such as the Vapor Tunnel, Virtual Basket, and Moses have revealed better efficiency in comparison to the short-pulse modality. While there have been modest improvements in hemostasis and operating time, there has been no obvious improvement in outcomes after prostate surgery. CONCLUSIONS AND CLINICAL IMPLICATIONS While in vitro studies have shown that pulse modulation improves stone fragmentation, reduces retropulsion, and maintains thermal safety, clinical outcomes are more variable. For prostate enucleation, the benefits are less consistent. Pulse modulation may improve efficiency, primarily by reducing operating times, but key outcomes such as stone-free and complication rates remain comparable to those with standard modalities. PATIENT SUMMARY Our review shows that pulse modulation technology improves the effectiveness and safety of laser treatments for kidney stones. However, the benefits of this technology for prostate surgery are still uncertain, highlighting the need for more research.

Abstract: In this section, Journalistica puts a spotlight on research methods used in journalism studies and/or journalism practice.

Abstract: This Element addresses the following three questions: can Global English unequivocally be framed as a 'killer' language for learning LOTEs (languages other than English)? If so, under what premises? (Section 1); what are the rationales and justifications for learning LOTE in the age of Global English? (Section 2); and what are the pedagogical and policy implications for learning LOTE in the age of Global English? What can we learn from current (best and less good) practice? (Section 3). Attempts to engage learners in learning a variety of languages – rather than just English – often fail to achieve desired results, both in Anglophone and non-Anglophone contexts. Can English be blamed? What can policymakers and educators do to address the crisis? This Element proposes a new matrix of rationales for language learning, advocating an interconnected, socially embedded justification for language learning. This title is also available as Open Access on Cambridge Core.

Abstract: Abstract Structural optimization has been shown to be an invaluable tool for solving large-scale challenging design problems, and this work concerns such optimization of a state-of-the-art laminated composite wind turbine blade root section. For laminated composites structures, the key design parameters are material choice, fiber orientation, stacking sequence, and layer thickness, however a framework for treating these simultaneously in optimization, on the current wind turbine blade scale, has not been demonstrated. Thus, the motivation and novelty of the present work is providing and demonstrating a general gradient-based approach applicable to wind turbine blades, where the key design parameters and structural criteria, i.e., buckling, static strength, and fatigue damage, are considered for multiple design load cases. The optimization framework is based on a variation of the Discrete Material and Thickness Optimization approach, where the thickness is directly parametrized, allowing for appropriately treating the sandwich parts of the blade. It is demonstrated how optimization leads to a design consisting of complex variable-thickness laminates, a good overall distribution of the structural criteria in the model, and a significant reduction in mass compared to the initial design.

Abstract: Shanxi Province holds an important strategic position in the overall ecological pattern of the Yellow River Basin. To investigate the changes of the ecological environment in the Shanxi section of the Yellow River Basin from 2000 to 2020, we selected MODIS remote sensing image data to determine the remote sensing ecological index (RSEI) based on the principal component analysis of greenness, humidity, dryness, and heat. Then, we analyzed the spatial and temporal variations of ecological quality in this region to explore the influencing factors. We further used the CA-Markov model to simulate and predict the ecological environment under different development scenarios in the Shanxi section of the Yellow River Basin in 2030. The results showed that RSEI had good applicability in the Shanxi section of the Yellow River Basin which could be used to monitor and evaluate the spatiotemporal variations in its ecological environment. From 2000 to 2020, the Shanxi section of the Yellow River Basin was dominated by low quality habitat areas, in which the ecological environment quality continued to improve from 2000 to 2010 and decreased from 2010 to 2020. The high quality habitat areas mainly located on the mountainous areas with superior natural conditions and rich biodiversity, while the low ecological quality areas were mainly in the Taiyuan Basin and the northern part of the study area, where the mining industry developed well. Climate factors were negatively correlated with ecological environment quality in the northern and central parts of the study area, and positively correlated with that in the mountainous area. Under all three development scenarios, the area of cultivated land, forest, water and construction land increased in 2030 compared to that in 2020. Compared to the natural development scenario and the cultivated land protection scenario, the ecological constraint scenario with RSEI as the limiting factor had the highest area of new forest and the lowest expansion rate of cultivated land and construction land. The results would provide a reference for land space planning and ecological environment protection in the Shanxi section of the Yellow River Basin.

Abstract: Abstract At present, China's demand for high-speed railway construction is constantly increasing, and the construction of Multi line high-speed railway tunnels has been put on the agenda. The design and construction issues of super-large-sections tunnels urgently need to be addressed. The Xiabei mountain No. 1 and No. 2 tunnels in the Hangzhou-Taizhou Railway are typical shallow-buried super-large-section-tunnels in weak surrounding rock, and their design and construction issues are representative. Eleven monitoring sections were set up in the tunnel, including tunnel deformation, surrounding rock, shotcrete, steel frames, bolts and temporary support mechanical responses. Taking the monitoring data of the most typical cross-section as an example, the mechanical response of the support structure of a shallow-buried super-large-section tunnel was analyzed in detail. Based on previous research results, this paper discusses and summarizes the common construction problems of this type of tunnel, and puts forward corresponding suggestions. The existing formula for calculating surrounding rock pressure has poor applicability to super-large-section tunnels constructed by step excavation, resulting in conservative support parameters. Therefore, based on the monitoring values of surrounding rock pressure at 10 monitoring sections in Xiabei mountain No. 1 and No. 2 tunnels, empirical parameters reflecting the impact of step excavation were summarized. Based on the Wang formula and combined with the step excavation empirical parameters, an empirical formula for the surrounding rock pressure of shallow-buried super-large-section tunnels considering step excavation was constructed. The calculated results are in good agreement with the on-site monitoring data. This study can provide a good reference for similar projects.