bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of minimally invasive surgery on surgical outcomes for obese women with endometrial cancer following robotic surgery introduction; a single centre study
Authors: Drymiotou Stefania , Dokmeci Melin , Chandrasekaran Dhivya , Jeyarajah Arjun , Brockbank Elly 
Published: July 2023

AbstractBackgroundThe aim was to assess the surgical outcomes in obese women with endometrial cancer following robotic surgery introduction in a London tertiary gynaecological cancer unit.MethodsData was prospectively collected for 281 women undergoing endometrial cancer surgery in 2016, 2018 and 2019 (robotic surgery was introduced in November 2017).ResultsThe proportion of obese and morbidly obese patients undergoing minimally invasive surgery (MIS) significantly increased following robotic surgery introduction from 43.8% to 69.6% (p < 0.001). Overall robotic surgery operating time was not affected by higher body mass index (r = 0.177, 95% CI −0.068–0.402). There was no difference in the length of stay or in the frequency and severity of complication rates between obese, morbidly obese and non‐obese populations undergoing MIS.ConclusionRobotic surgery led to a significant rise in MIS and improved surgical outcomes for obese and morbidly obese women with endometrial cancer within 12 months of its introduction.
Outlier‐resistant quantized control for T‐S fuzzy systems under multi‐channel‐enabled round‐robin protocol and deception attacks
Authors: Zha Lijuan , Huang Tao , Liu JinLiang , Xie Xiangpeng , Tian Engang 
Published: July 2023

AbstractIn this study, the security quantized control problem is investigated for discrete‐time Takagi‐Sugeno (T‐S) fuzzy systems with deception attacks based on the multi‐channel‐enabled round‐robin (MCERR) protocol. The MCERR protocol breaks through the limitation in the well‐known RR protocol where only one signal can be transmitted at every turn. Under MCERR protocol, multiple transmission channels are put to use and a set of sensor nodes can gain access to network. Considering the random deception attacks and the measurement outliers, a new system model is established and a sufficient condition is derived to ensure the stability of the discussed system. Furthermore, an outlier resistant observer‐based controller which can mitigate the impact of deception attacks is developed. Besides, the concrete expressions of observer gains and controller gains are obtained. Finally, the effectiveness of the proposed method can be validated by simulation results.
Perspectives of racialized immigrant communities on adaptability to climate disasters following the UN Roadmap for Sustainable Development Goals (SDGs) 2030
Authors: Subroto Sujoy , Datta Ranjan 
Published: July 2023

AbstractClimate Change‐induced risk events intensify vulnerability and disproportionately affect regions and racialized immigrant communities. Understanding the multiple dimensions of disaster and risk, especially how these are embedded in a broader social‐political context, and translated into risk management strategies, have now been identified as priority areas under Sendai Framework for Disaster Risk Reduction 2015–2030 and UN Research Roadmap for achieving Sustainable Development Goals (SDGs) 2030. Drawing on a relational intersectional approach, this study explores the meanings of climate change disasters and risk reduction strategies from a racialized immigrant community's (i.e., Bangladeshi‐Canadian) lived experiences in Calgary, Canada. From our relational research, we learned that extreme climate events (such as forest fires/wildfires, heat waves, flash floods, severe colds, hailstorms, etc.) are the most common stressors unevenly impacting the household economy, physical health, and mental and psychological wellbeing of the racialized immigrant community in Calgary. The community's compounded vulnerability to disaster risks is further aggravated due to their intersectional positionality and structural inequality (systematic marginalization) rooted in the lack of explicit anti‐racist policy guidelines in Canada. The community members adapt diverse strategies (mostly reactive) based on their family income, severity and frequency of the exposure to risks, social support system, geographic location (residence), cultural practices, and involvement with community networks. While proposing solutions, they suggested that community‐engaged tailored disaster intervention strategy could play an instrumental role in addressing social vulnerability (determinants) and enhancing adaptive capacity at the local level. Moreover, this study calls for a more holistic account of the differential vulnerability context to better understand the structural root causes and emphasizes that upscaling land‐based practices and knowledge transmission, ensuring deliberate participation of visible minorities, fostering collective action and integrating local community associations into all stages of disaster management should be the priority for the state agencies to support long‐term resilience.
Artificial intelligence for Sustainable Development Goals: Bibliometric patterns and concept evolution trajectories
Authors: Singh Aakash , Kanaujia Anurag , Singh Vivek Kumar , Vinuesa Ricardo 
Published: July 2023

AbstractThe development of artificial intelligence (AI) as a field has impacted almost all aspects of human life. More recently it has found a role in addressing developmental challenges, specifically the Sustainable Development Goals (SDGs). However, there are not enough systematic studies on analysis of the role of AI research towards the SDGs. Therefore, this article attempts to bridge this gap by identifying the major bibliometric trends and concept‐evolution trajectories in the area of AI applications for sustainable‐development goals. The research publication data for the last 20 years in the areas of artificial intelligence, machine learning, deep learning, and so forth, is obtained and computationally analysed using a framework comprising bibliometrics, path analysis and content analysis. The findings show an incremental trend in overall publications on the application of AI for SDGs across the different regions of the world. SDGs 3 (good health & well‐being) and 7 (affordable and clean energy) are found as the areas with the most applications of AI. In SDG3, the literature reflects application of AI techniques such as deep learning for precision and personalised medicine while in SDG7, a number of studies have employed AI techniques for the integration of systems for efficient generation of solar power and improving the energy efficiency of a building. Furthermore, SDG 4 (quality education), SDG 13 (climate action), SDG 11 (sustainable cities and communities) and SDG 16 (peace, justice and strong institutions) are the other SDGs where AI approaches and techniques are applied. The analytical results present a detailed insight of application of AI for achieving the SDGs.
Sequentially Controlled Recognition of Different Proteins Using Programmable Protein Imprinted Nanospheres
Authors: Wang Mingqi , Fa Shixin , Zhang Guoxian , Yu Jiate , Zhang Qiuyu 
Published: July 2023

AbstractAlthough protein imprinted materials with multiple templates are developed to selectively separate different proteins, it is difficult to achieve the programmed adsorption and separation of different proteins using one material, because the available protein imprinted materials are constructed through irreversible crosslinking and their structures are unprogrammable and non‐reconstructive. Herein, a novel nanosphere (MS@PTL‐g‐PNIPAM) is designed, which not only is temperature and pH responsive but also can dynamically reversibly crosslink/de‐crosslink under ultraviolet light of different wavelengths. With the help of the dynamically reversible photo‐crosslinking, the nanospheres can be repeatedly programmed into protein imprinted nanospheres toward different target proteins. Moreover, the prepared imprinted nanospheres can easily achieve the controlled rebinding and release of target proteins, benefiting from the introduced temperature‐ and pH‐responsive moieties. As a consequence, this study realizes the specific separation of different target proteins from protein mixture and the real bovine blood sequentially by programming one material. It is resource saving, time saving, recyclable, and it will provide convenience for protein imprinted materials to use in the blood purification, drug delivery, and virus detection.
Nitrogen‐Doped Titanium Carbide (Ti3C2Tx) MXene Nanosheet Stack For Long‐Term Stability and Efficacy in Au and Ag Recovery
Authors: Jung Youngkyun , Seok Shi‐Hyun , Jung Kyung‐Won , Park Jaeeun , Kwon Soon‐Yong , Choi Jae‐Woo 
Published: July 2023

AbstractThe development of efficient adsorbents for the practical recovery of precious metals from electronic waste is vital to advanced energy/environment industries. Ti3C2Tx MXene‐based materials are promising adsorbents for aqueous environments; however, the highly defective and super hydrophilic nature of the MXene surface hinders its practical applications. Here, we report that nitrogen‐doped MXene (N‐MXene) nanosheet stacks, prepared via high‐energy planetary ball milling under N2 purging, exhibited a long‐term stable and excellent recovery capability for Au and Ag ions via the nitrogenation of defective vacancies. Notably, these microscale nanosheets could facilitate the sustainable production of Au and Ag from secondary sources, exhibiting a high recovery rate and capability (1198 mg g−1 for Au and 1528 mg g−1 for Ag), long‐term stable storability (21 d), and high selectivity (Kd of 1.67 × 106 for Au and 2.07 × 107 for Ag). Furthermore, the reversible redox chemistry of N‐MXene facilitated its repeated use in adsorption/desorption cycles.
Effect of Citric Acid Modification on Physio‐Chemical, Structural, Rheological, Thermal Properties, and In Vitro Digestibility of Amaranthus paniculatus (Rajgeera) Starch
Authors: Yadav Pooja , Sabith Muhammed , Bosco S. John Don 
Published: July 2023

AbstractIn this study, starch is treated with different concentrations of citric acid (CA, 5, 10, 20, and 30 g/100 g dry basis) which leads to the production of citrate starch. The effect of CA concentration on physio‐chemical, structural, rheological, thermal properties, and digestibility is analyzed. A Fourier transform infrared (FTIR) spectroscopy Stands for FTIR peak at 1728 cm−1 is observed, indicating ester bond formation between CA and starch molecules. A nonsignificant change in the crystalline pattern is observed between native and citrate starch, whereas a decrease in relative crystallinity from 15.75% to 6.91% is observed. With the increase in the degree of substitution, gelatinization decreases, and gelatinization's enthalpy (ΔH) decreases from 13.72 to 9.63 J g−1. The rapid digestible starch (RDS) decreases by CA treatment, whereas slow digestible starch (SDS) and resistant starch (RS) increase significantly from 32.81 g/100 g dry basis to 39.45 g/100 g dry basis and 9.87 g/100 g dry basis to 25.26 g/100 g dry basis, respectively.
Effects of nano titanium and nano silica on high‐strength concrete properties incorporating heavyweight aggregate
Authors: Abu el‐Hassan Khaled , Hakeem Ibrahim Y. , Amin Mohamed , Tayeh Bassam A. , Zeyad Abdullah M. , Agwa Ibrahim Saad , Elsakhawy Yara 
Published: July 2023

AbstractThis investigation aims to study the effect of replacing 100% of fine and coarse aggregates with heavyweight aggregates and adding nano titanium (NT) and nano silica (NS) on shielding against radiation and on the mechanical and transport properties of heavyweight high‐strength concrete (HWHSC). In this study, 20 mixes were prepared that included the use of hematite and steel slag (SS) aggregate with NS or NT used as additions to mixes by the ratio 1% and 3% from cement weight. To study the effect of the total replacement of aggregates and the addition of nanomaterials (NMs) on the properties of HWHSC, to study engineering properties the slump, compressive strength, splitting tensile strength, flexural strength, and modulus of elasticity were applied. Density, chloride permeability, sorptivity coefficient, water permeability, and microstructure tests were also performed. To study the efficiency of shielding against radiation, linear attenuation coefficient, mass attenuation coefficient, mean‐free path, half‐value layer, and tenth‐value layer of different gamma‐ray sources of radiation 137Cs 662 (keV) and 60Co 1332 (keV) were applied. The results showed that the 100% SS and hematite replacement as coarse and fine aggregates with 3% (NS or NT) achieved the best mechanical and transport properties compared to other mixtures. While the highest density of the string containing hematite and SS was achieved with 3% of NT, with a density of 3384 kg/m3. The highest compressive strength of more than 116 MPa was achieved for the included mixture of 3% NS. The highest attenuation of gamma‐ray radiation was achieved with the application of hematite and SS aggregates with 3% of NT.
Computed tomographic appearance, surgical management and outcome in a case of canine primary prostatic hemangiosarcoma
Authors: Clark Jory , Spinner Maureen , Gallaher Hayley M , Perry Karen 
Published: July 2023

AbstractAn 8‐year‐old, neutered, male rottweiler presented for evaluation of pollakiuria and a large abdominal mass. Computed tomographic evaluation revealed a large caudal abdominal mass occupying the pelvic inlet, obscuring the prostate, as well as concurrent hepatic nodules. A prostatectomy, urethrotomy and liver biopsies were performed. Pollakiuria resolved, and the patient was discharged on Day 4 post‐operatively. Histopathological evaluation was consistent with primary prostatic hemangiosarcoma with no metastasis. The dog acutely decompensated 26 days post‐operatively and was re‐evaluated. Peritoneal effusion prompted computed tomographic re‐examination. An amorphous mass in the region of the previous prostatectomy site and changes to the previously normal urinary bladder wall and colon were identified. Concurrently, contrast extravasation from a urinary bladder wall defect was present. Uroabdomen was confirmed, suspected secondary to neoplastic infiltration. The dog was humanely euthanased. This is the first report to describe the computed tomographic appearance, surgical management and short‐term outcome of canine primary prostatic hemangiosarcoma.
Structure and photochromic properties of two cadmium coordination polymers derived from viologen ligands
Authors: Yang Fengyi , Chen Jiali , Wang Junwen , Liu Jinjian 
Published: July 2023

AbstractTwo novel 1D Cd‐based coordination polymers (CPs) {[Cd(MQ)(HBTC)(H2O)2] ⋅ (H2BTC) ⋅ 4H2O}n (1) and {[Cd(AQ)(HBTC)(H2O)Br] ⋅ 2H2O}n (2) have been prepared in the reaction of Cd2+ with different viologen ligands such as 1‐methyl‐4,4′‐bipyridinium bromide (MQBr) or 1‐amyl‐4,4′‐bipyridinium bromide (AQBr) in the presence of 1,3,5‐benzenetricarboxylic acid (H3BTC). The Cd2+ ions are bridged by HBTC2− anions to take shape a 1D configuration for two CPs. Additionally, 1 and 2 both show photochromism due to the photoinduced electron transfer (ET) from electron‐rich O atoms to electron‐deficient viologen moieties. Compared with 2, compound 1 has a rapid photoresponsive rate. The different photochromic behaviors have been discussed adequately.
The Zintl Concept Applied to Intergrowth Structures: Electron‐Hole Matching, Stacking Preferences, and Chemical Pressures in Pd5InAs
Authors: Kraus Joseph D. , Van Buskirk Jonathan S. , Fredrickson Daniel C. 
Published: July 2023

AbstractEnumerating the potential stacking sequences of layers is a fundamental way to account for the structure diversity of solid state compounds. In many cases, these stacking variations represent polymorphs with only small energetic differences. Here, we examine a compound for which the preferred stacking pattern instead reveals key aspects about its chemical bonding: Pd5InAs. Its structure is based on the intergrowth of slabs of the AuCu3 and PtHg2 (or alternatively, fluorite) structure types. Two basic stacking arrangements are available to this compound, represented by the Pd5TlAs and HoCoGa5 structure types. DFT total energy calculations reveal that the former outcompetes the latter by a staggering 0.65 eV/formula unit. Through a combination of DFT‐reversed approximation Molecular Orbital (DFT‐raMO) and DFT‐Chemical Pressure (DFT‐CP) analysis we trace this preference to two factors. First, with DFT‐raMO analysis, we derive a Zintl‐like bonding scheme of Pd5InAs. This scheme, along with the inspection of selected crystal orbitals, is then connected to preferred stacking through the coordination environments of the Pd atoms at the interface between the Pd−In and Pd−As layers. In the hypothetical HoCoGa5‐type and observed Pd5InAs‐type structures, different Pd coordination environments arise at the interfaces. The hypothetical structure features square planar PdIn2As2 units, in each of which the same 4d‐orbital serves in the Pd sublattice's role as both Lewis acid (for interactions with the As) and Lewis base (for interactions with the In). In the observed structure, tetrahedral PdIn2As2 units occur instead, so that these contradictory roles are distributed to separate 4d‐orbitals, leading to more effective bonding. DFT‐CP analysis illustrates that this driving force for the Pd5TlAs‐type arrangement is supplemented by a favorable alignment of the packing tensions in the parent structures. Altogether, the resulting picture demonstrates how the reaction of simple intermetallic structures to form intergrowths can be guided by recognizable chemical interactions.
Business Model Design
Authors: Slama Dirk 
Published: July 2023

AbstractThe development and validation of a (more or less) detailed business model is usually the first step in the journey towards developing a new smart, connected product or solution. The business model will usually play a central role in product development, while in solution development, it will be most likely more basic. This chapter looks at tools and best practices for developing AIoT-specific business models, with a focus on the product perspective (Fig. 12.1).
Organization
Authors: Slama Dirk 
Published: July 2023

AbstractThe final perspective in the AIoT Business Execution discussion is on the organization, which needs to support the creation and operation of AIoT-enabled products or solutions. The organizational setup is a potential Achilles’ heel: if this is not done properly, the entire initiative can be derailed. A number of different factors play a role here, from cultural aspects to proper alignment of the organizational structure with the key architectural elements of the product or solution. Owing to the large differences between Digital OEM and Digital Equipment operations from the organizational perspective, both will be discussed individually in this chapter.
Designing Smart Connected Products and Solutions with AIoT
Authors: Slama Dirk 
Published: July 2023

AbstractAn important element in the development lifecycle is the end-to-end design of the product or solution. The design section will provide a set of detailed templates that can be used here. These templates support the key viewpoints developed by the Digital Playbook: Business Viewpoint, UX Viewpoint, Data/Functional Viewpoint, and Implementation Viewpoint. These design viewpoints must be aligned with the agile product development perspective, in particular the story map as the top-level work breakdown. They will have to be updated frequently to reflect any learning from the implementation sprints. This means that they can only have a level of detail that permits them to do this (Fig. 19.1).
AIoT.exe
Authors: Slama Dirk 
Published: July 2023

AbstractThe starting point of the discussion on technical execution following will be a deep dive into our topics from the AIoT 101 section, namely, AI, Data, Digital Twin, IoT, and Hardware: the key ingredients of many AIoT products and solutions. Each topic will be specifically looked at from the execution perspective (hence the play with “*.exe”), with a focus on both technology and organization. For each topic, we will also discuss how the technical pipeline and pipeline organization should be addressed and how it can all be integrated (mainly through the IoT perspective) (Fig. 24.1).
Holistic AIoT DevOps
Authors: Slama Dirk 
Published: July 2023

AbstractThe introduction of DevOps — together with Continuous Integration/Continuous Delivery (CI/CD) — has fundamentally changed the way software is developed, integrated, tested, and deployed. DevOps and CI/CD are key enablers of agile development. However, today’s DevOps practices predominantly focus on cloud and enterprise application development. For successful AIoT products, DevOps will need to be extended to include AI and IoT (Fig. 27.1).
Reliability & Resilience
Authors: Slama Dirk 
Published: July 2023

AbstractEnsuring a high level of robustness for AIoT-based systems is usually a key requirement. Robustness is a result of two key concepts: reliability and resilience (“R&R”). Reliability concerns designing, running and maintaining systems to provide consistent and stable services. Resilience refers to a system’s ability to resist adverse events and conditions (Fig. 29.1).
Data 101
Authors: Slama Dirk 
Published: July 2023

AbstractData are the foundation for almost all digital business models. AIoT adds sensor-generated data to the picture. However, in its rawest form, data are usually not usable. Developers, data engineers, analytics experts, and data scientists are working on creating information from data by linking relevant data elements and giving them meaning. By adding context, knowledge is created [5]. In the case of AIoT, knowledge is the foundation of actionable intelligence (Fig. 3.1).
BaseABC: Addressing the AIoT Long Tail in I4.0 (Bürkert)
Authors: Hlubek Nikolai 
Published: July 2023

AbstractThis case study highlights how Bürkert Fluid Control Systems, a successful I4.0 SME, masters the AIoT long tail by applying the BaseABC method. The case study was authored by Dr. Nikolai Hlubek, who works as a Senior Data Scientist at Bürkert Fluid Control Systems and develops new data-driven products. The author has a PhD in physics and has been using data science for more than 15 years to tackle various topics. As an example, before joining Bürkert Fluid Control Systems, he developed a real-time ionospheric monitoring service for the German Aerospace Center.
Digital Equipment Operator
Authors: Slama Dirk 
Published: July 2023

AbstractThe Digital Equipment Operator utilizes AIoT to optimize how they operate physical assets or equipment. Goals often include asset performance optimization and process improvements. Examples of Digital Equipment Operators include manufacturers, electricity grid operators, railroad operators, and mining companies. This chapter introduces the concept of the The Digital Equipment Operator in detail, again following the why, what, how structure from the Introduction (Fig. 8.1).
Platforms
Authors: Slama Dirk 
Published: July 2023

AbstractFrom Airbnb to Amazon and Uber, digital platforms have disrupted many industries, including travel, retail, music and others. From an AIoT point of view, we are interested in digital platforms that connect to physical assets and products. An AIoT platform operator does not necessarily have to manufacture or operate the physical assets. This is why platforms are covered independently of the Digital OEM and Digital Equipment Operator roles introduced earlier, even though the approaches can of course also be combined. This chapter provides an overview of the different concepts and looks again at the why, what, and how of platforms (Fig. 9.1).