bluuebunny/crossref_metadata_2025_split huggingface dataset:
On computation of degree based entropy measures for terpyridine complex nanosheet
Authors: Renai P. Noah Antony Daniel , Roy S. 
Published: July 2023

AbstractOn comparing the various approaches in determining entropy measures, Shannon's strategy plays a significant role in computing information entropy, as it involves the analysis and quantification of the data's information transmission and complexity in diverse fields of science. By considering the essentiality of information‐theoretic entropy and its future implications for physicochemical and biological aspects, this manuscript focuses on investigating a standard variant of Shannon's approach for computing entropy measures using certain degree‐based topological indices for a particular Terpyridine Complex () structure namely, Terpyridine Complex Nanosheet (). In addition, from the computational analysis of entropy measures, compared to other entropies, the entropies measured using Zagreb and hyper‐Zagreb indices exhibit a higher level of significance, which has potential applications in QSPR and QSAR analysis.
Robustness analysis of gain‐scheduled Model Predictive Control for Linear Parameter Varying systems: An Integral Quadratic Constraints approach
Authors: Morato Marcelo M. , Normey‐Rico Julio E. , Sename Olivier 
Published: July 2023

AbstractIn this paper, we evaluate the robustness qualities of Model Predictive Control (MPC) algorithms applied for Linear Parameter Varying (LPV) systems. Specifically, we analyzegain‐scheduledLPV MPC schemes, that is, those that use model predictions based on the LPV scheduling variables available at each sampling instant. Accordingly, we extend previous results on finite‐horizon robustness analysis of linear time‐variant (LTV) systems, employing Integral Quadratic Constraints (IQCs) to describe the input‐output behavior of prediction uncertainties. We provide two main novelties in our formulation: (i) we propose a parameter‐dependent Karush–Kuhn–Tucker (KKT) inequality to describe the existence and feasibility of the LPV MPC control inputs; and (ii) we model the uncertainties that arise due to the unavailability of the scheduling trajectory along the prediction horizon as a bounded interconnection in the form of a Linear Fractional Transformation (LFT). Accordingly, we use dissipativity arguments (‐hard IQCs) in order to compute robust induced gains of the closed‐loop system (specifically, the and ‐to‐Euclidean metrics), taking into account the MPC prediction uncertainties. We also generate the set of reachable states from a given initial condition. A benchmark example is used to illustrate the proposed analysis procedure.
Exploring the acid–base surface properties of vivianite crystals in aqueous solution
Authors: Hong Tianqiu , Wei Lin , Li Ziyue , Wang Yuanhui , Zhang Qiang , Luo Lei , Zhang Tingting , Li Ruolan , Tang Yiming 
Published: July 2023

The acid–base surface properties of vivianite crystals highly affect the adsorption capacity of vivianite for heavy metals and organic matters in aqueous solution. Therefore, the aim of the study was to innovatively explore and quantify the acid–base surface characterization of vivianite crystals in aqueous solution. It was found that the two surface active adsorption sites (≡POH and ≡FeOH) and five surface species thereof (i.e., ≡PO, ≡POH, ≡FeOH, ≡FeO−, and ≡FeOH2+) underwent surface reaction on vivianite crystals. Moreover, the active surface site and point of zero charge of vivianite crystals were 18 sites/nm2 and pH 5.9. Importantly, constant capacitance model was successfully employed to model the titration data, from which the distribution of surface species as function of pH and surface reaction constants were also accurately derived. The finding herein can be applied for plausible modeling molecular‐scale adsorption of the impurities on vivianite surface.
Sub‐30 nm 2D Perovskites Patterns via Block Copolymer Guided Self‐Assembly for Color Conversion Optical Polarizer
Authors: Park Youjin , Han Hyowon , Lee Hyeokjung , Kim Sohee , Park Tae Hyun , Jang Jihye , Kim Gwanho , Park Yemin , Lee Jiyeon , Kim Dongjun , Kim Jiwon , Jung Yeon Sik , Jeong Beomjin , Park Cheolmin 
Published: July 2023

AbstractDespite the remarkable advances made in the development of 2D perovskites suitable for various high‐performance devices, the development of sub‐30 nm nanopatterns of 2D perovskites with anisotropic photoelectronic properties remains challenging. Herein, a simple but robust route for fabricating sub‐30 nm 1D nanopatterns of 2D perovskites over a large area is presented. This method is based on nanoimprinting a thin precursor film of a 2D perovskite with a topographically pre‐patterned hard poly(dimethylsiloxane) mold replicated from a block copolymer nanopattern consisting of guided self‐assembled monolayered in‐plane cylinders. 1D nanopatterns of various 2D perovskites (A′2MAn−1PbnX3n+1,A′ = BA, PEA, X = Br, I) are developed; their enhanced photoluminescence (PL) quantum yields are approximately four times greater than those of the corresponding control flat films. Anisotropic photocurrent is observed because 2D perovskite nanocrystals are embedded in a topological 1D nanopattern. Furthermore, this 1D metal‐coated nanopattern of a 2D perovskite is employed as a color conversion optical polarizer, in which polarized PL is developed. This is due to its capability of polarization of an incident light arising from the sub‐30 nm line pattern, as well as the PL of the confined 2D perovskite nanocrystals in the pattern.
Development and Perspectives: Multifunctional Nucleic Acid Nanomedicines for Treatment of Gynecological Cancers
Authors: Korzun Tetiana , Moses Abraham S. , Diba Parham , Sattler Ariana L. , Olson Brennan , Taratula Olena R. , Pejovic Tanja , Marks Daniel L. , Taratula Oleh 
Published: July 2023

AbstractGynecological malignancies are a significant cause of morbidity and mortality across the globe. Due to delayed presentation, gynecological cancer patients are often referred late in the disease's course, resulting in poor outcomes. A considerable number of patients ultimately succumb to chemotherapy‐resistant disease, which reoccurs at advanced stages despite treatment interventions. Although efforts have been devoted to developing therapies that demonstrate reduced resistance to chemotherapy and enhanced toxicity profiles, current clinical outcomes remain unsatisfactory due to treatment resistance and unfavorable off‐target effects. Consequently, innovative biological and nanotherapeutic approaches are imperative to strengthen and optimize the therapeutic arsenal for gynecological cancers. Advancements in nanotechnology‐based therapies for gynecological malignancies offer significant advantages, including reduced toxicity, expanded drug circulation, and optimized therapeutic dosing, ultimately leading to enhanced treatment effectiveness. Recent advances in nucleic acid therapeutics using microRNA, small interfering RNA, and messenger RNA provide novel approaches for cancer therapeutics. Effective single‐agent and combinatorial nucleic acid therapeutics for gynecological malignancies have the potential to transform cancer treatment by giving safer, more tailored approaches than conventional therapies. This review highlights current preclinical studies that effectively exploit these approaches for the treatment of gynecological malignant tumors and malignant ascites.
Plasticizing Effectiveness and Characteristics of Different Mono‐Alcohols, Di‐Alcohols, and Polyols for Starch‐Based Materials
Authors: Alee Mahafooj , Fu Jun , Duan Qingfei , Yang Mao , Liu Hongsheng , Zhu Jian , Xianyang Bao , Chen Ling , Yu Long 
Published: July 2023

AbstractThe effectiveness of various alcohols as plasticizers for starch‐based materials is studied. Specifically, the impact of molecular structures, such as the number of hydroxyl groups, molecular weights, and chemical structures of these compounds, on the performance of starch‐based films is studied. Several alcohols are used, including mono‐alcohols (propanol, butanol, pentanol, and hexanol), di‐alcohols (ethylene glycol, propanediol, butanediol, and pentanediol), and polyols (glycerol, erythritol, xylitol, sorbitol). Tensile testing and DSC, TGA, DMA, XRD, and SEM characterization of the starch film are used to assess plasticizing effectiveness. Alcohols with a low number of ─OH groups, such as mono‐alcohols, are not retained in the starch matrix because their compatibility with starch is low. The presence of a long alkyl chain in the alcohol reduces compatibility with the starch matrix even more. This type of material has low or no plasticizer efficiency. Di‐alcohols are more compatible with starch, especially those with short alkyl chains like ethylene glycol. Polyols with many ─OH groups are more compatible with starch. The effectiveness of these alcohols as starch plasticizers is proportional to the number of ─OH groups present. All alcohols, whether liquid or solid, must facilitate water′s action.
Investigating the behavior of an innovative butterfly‐shaped damper: An experimental and numerical study
Authors: Van Chung Nguyen , Ghamari Ali 
Published: July 2023

SummaryThe concentrically braced frame (CBF) suffered from low dissipating energy capacity although it pertains to a high lateral elastic stiffness and ultimate strength. To overcome the shortcoming, in this paper, an innovative damper made of two butterfly‐shaped plates installed at the end of the diagonal member of the CBF was considered experimentally and numerically. Also, the required equations were presented to design the system. In an experimental study, the damper showed stable hysteresis loops without any degradation in stiffness and strength up to a rotation of 12% (0.12 rad). This rotation capacity is 50% greater than the AISC limitation. Also, the numerical study indicated that by increasing the angle of main plates, the structural parameters are improved as ultimate strength (Fu), 47% to 90%; stiffness (K), 64% to 97%; energy absorption (E), 23% to 11%; and overstrength (Ω), 59% to 96%. By reduction of the damper's height, the parameters Fu, K, E, and Ω are increased by 47% to 76%, 23% to 64%, 49% to 93%, and 23% to 27%, respectively. Moreover, although the geometry of the damper affected the elastic stiffness, the stiffness in the nonlinear zone was independent of the geometry of the damper. Correspondingly, the slenderness limitations were suggested as 15 for height to thickness ratio and 22 for wide to thickness ratio.
Integrative multi‐omics analyses of date palm (Phoenix dactylifera) roots and leaves reveal how the halophyte land plant copes with sea water
Authors: Mueller Heike M. , Franzisky Bastian L. , Messerer Maxim , Du Baoguo , Lux Thomas , White Philip J. , Carpentier Sebastien Christian , Winkler Jana Barbro , Schnitzler Joerg‐Peter , El‐Serehy Hamed A. , Al‐Rasheid Khaled A. S. , Al‐Harbi Naif , Alfarraj Saleh , Kudla Jörg , Kangasjärvi Jaakko , Reichelt Michael , Mithöfer Axel , Mayer Klaus F. X. , Rennenberg Heinz , Ache Peter , Hedrich Rainer , Geilfus Christoph‐Martin 
Published: July 2023

AbstractDate palm (Phoenix dactylifera L.) is able to grow and complete its life cycle while being rooted in highly saline soils. Which of the many well‐known salt‐tolerance strategies are combined to fine‐tune this remarkable resilience is unknown. The precise location, whether in the shoot or the root, where these strategies are employed remains uncertain, leaving us unaware of how the various known salt‐tolerance mechanisms are integrated to fine‐tune this remarkable resilience. To address this shortcoming, we exposed date palm to a salt stress dose equivalent to seawater for up to 4 weeks and applied integrative multi‐omics analyses followed by targeted metabolomics, hormone, and ion analyses. Integration of proteomic into transcriptomic data allowed a view beyond simple correlation, revealing a remarkably high degree of convergence between gene expression and protein abundance. This sheds a clear light on the acclimatization mechanisms employed, which depend on reprogramming of protein biosynthesis. For growth in highly saline habitats, date palm effectively combines various salt‐tolerance mechanisms found in both halophytes and glycophytes: “avoidance” by efficient sodium and chloride exclusion at the roots, and “acclimation” by osmotic adjustment, reactive oxygen species scavenging in leaves, and remodeling of the ribosome‐associated proteome in salt‐exposed root cells. Combined efficiently as in P. dactylifera L., these sets of mechanisms seem to explain the palm's excellent salt stress tolerance.
From Sounds to Letters to Words to Sentences to Genres: Oral Language and Writing
Authors: Traga Philippakos Zoi A. , Secora Kristen 
Published: July 2023

AbstractThe purpose of this paper is to explain how teachers can build on children's oral language resources to support writing. Thus, we offer recommendations and specific examples for classroom applications that connect oral language with written expression. Specifically, we provide examples on the transition from phonemic awareness to phonics to word writing to sentence writing, and to oral and written responses that address genre expectations. Specifically, we address sentence rehearsals, sentence expansion, and sentence combining that teachers can model and collaboratively conduct so learners use oral language as a vehicle for written production and communication with readers.
Diagnostic yield of exome sequencing in prenatal agenesis of corpus callosum: systematic review and meta‐analysis
Authors: Mustafa H. J. , Barbera J. P. , Sambatur E. V. , Pagani G. , Yaron Y. , Baptiste C. D. , Wapner R. J. , Brewer C. J. , Khalil A. 
Published: July 2023

ABSTRACTObjectivesTo determine the incremental diagnostic yield of exome sequencing (ES) after negative chromosomal microarray analysis (CMA) in cases of prenatally diagnosed agenesis of the corpus callosum (ACC) and to identify the associated genes and variants.MethodsA systematic search was performed to identify relevant studies published up until June 2022 using four databases: PubMed, SCOPUS, Web of Science and The Cochrane Library. Studies in English reporting on the diagnostic yield of ES following negative CMA in prenatally diagnosed partial or complete ACC were included. Authors of cohort studies were contacted for individual participant data and extended cohorts were provided for two of them. The increase in diagnostic yield with ES for pathogenic/likely pathogenic (P/LP) variants was assessed in all cases of ACC, isolated ACC, ACC with other cranial anomalies and ACC with extracranial anomalies. To identify all reported genetic variants, the systematic review included all ACC cases; however, for the meta‐analysis, only studies with ≥ three ACC cases were included. Meta‐analysis of proportions was employed using a random‐effects model. Quality assessment of the included studies was performed using modified Standards for Reporting of Diagnostic Accuracy criteria.ResultsA total of 28 studies, encompassing 288 prenatally diagnosed ACC cases that underwent ES following negative CMA, met the inclusion criteria of the systematic review. We classified 116 genetic variants in 83 genes associated with prenatal ACC with a full phenotypic description. There were 15 studies, encompassing 268 cases, that reported on ≥ three ACC cases and were included in the meta‐analysis. Of all the included cases, 43% had a P/LP variant on ES. The highest yield was for ACC with extracranial anomalies (55% (95% CI, 35–73%)), followed by ACC with other cranial anomalies (43% (95% CI, 30–57%)) and isolated ACC (32% (95% CI, 18–51%)).ConclusionsES demonstrated an incremental diagnostic yield in cases of prenatally diagnosed ACC following negative CMA. While the greatest diagnostic yield was observed in ACC with extracranial anomalies and ACC with other central nervous system anomalies, ES should also be considered in cases of isolated ACC. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
Prediction by uterine artery Doppler screening of small‐for‐gestational‐age neonates at 19–24 weeks' gestation
Authors: Tai Y.‐Y. , Lee C.‐N. , Juan H.‐C. , Lin M.‐W. , Liao J.‐C. , Li H.‐Y. , Lin S.‐Y. , Poon L. C. 
Published: July 2023

ABSTRACTObjectiveSmall‐for‐gestational‐age (SGA) neonates are at increased risk of perinatal mortality and morbidity. We aimed to investigate the performance of uterine artery pulsatility index (UtA‐PI) at 19–24 weeks' gestation to predict the delivery of a SGA neonate in a Chinese population.MethodsThis was a retrospective cohort study using data obtained between January 2010 and June 2018. Doppler ultrasonography was performed at 19–24 weeks' gestation. SGA was defined as birth weight below the 10th centile according to the INTERGROWTH‐21st fetal growth standards. The performance of UtA‐PI to predict the delivery of a SGA neonate was assessed using receiver‐operating‐characteristics (ROC)‐curve analysis.ResultsWe included 6964 singleton pregnancies, of which 748 (11%) delivered a SGA neonate, including 115 (15%) women with preterm delivery. Increased UtA‐PI was associated with an elevated risk of SGA, both in neonates delivered at or after 37 weeks' gestation (term SGA) and those delivered before 37 weeks (preterm SGA). The areas under the ROC curve (AUCs) for UtA‐PI were 64.4% (95% CI, 61.5–67.3%) and 75.8% (95% CI, 69.3–82.3%) for term and preterm SGA, respectively. The performance of combined screening by maternal demographic/clinical characteristics and estimated fetal weight in the detection of term and preterm SGA was improved significantly by the addition of UtA‐PI, although the increase in AUC was modest (2.4% for term SGA and 4.9% for preterm SGA).ConclusionsThis is the first Chinese study to evaluate the role of UtA‐PI at 19–24 weeks' gestation in the prediction of the delivery of a neonate with SGA. The addition of UtA‐PI to traditional risk factors improved the screening performance for SGA, and this improvement was greater in predicting preterm SGA compared with term SGA. © 2023 International Society of Ultrasound in Obstetrics and Gynecology.
Hybrid Models
Authors: Slama Dirk 
Published: July 2023

AbstractHybrid models that combine aspects of the Digital OEM and the Digital Equipment Operator are more often the norm than the exception. Nevertheless, differentiating between these two roles can be very helpful for understanding many of the different concepts associated with them. This chapter looks at hybrid models in more detail, following again the why, what, how structure from the Introduction (Fig. 10.1).
Trust & Security
Authors: Slama Dirk 
Published: July 2023

AbstractDigital Trust (or trust in digital solutions) is a complex topic. When do users deem a digital product truly trustworthy? What if a physical product component is added, as in smart, connected products? While security is certainly a key enabler of Digital Trust, there are many other aspects that are important, including ethical considerations, data privacy, quality and robustness (including reliability and resilience). Since AIoT-enabled products can have a direct, physical impact on the well-being of people, safety also plays an important role (Fig. 28.1).
Quality Management
Authors: Slama Dirk 
Published: July 2023

AbstractQuality Management (QM) is responsible for overseeing all activities and tasks needed to maintain a desired level of quality. QM in Software Development traditionally has three main components: quality planning, quality assurance, and quality control. In many agile organizations, QM is becoming closely integrated with the DevOps organization. Quality Assurance (QA) is responsible for setting up the organization and its processes to ensure the desired level of quality. In an agile organization, this means that QA needs to be closely aligned with DevOps. Quality Control (QC) is responsible for the output, usually by implementing a test strategy along the various stages of the DevOps cycle. Quality Planning is responsible for setting up the quality and test plans. In a DevOps organization, this will be a continuous process (Fig. 30.1).
Predictive Maintenance for Hydraulic Components (Bosch Rexroth)
Authors: Slama Dirk 
Published: July 2023

AbstractPredictive Maintenance has long been the holy grail of the IoT. However, experience has also shown that successfully implementing predictive maintenance for industrial use cases is harder than one might think, from finding a sustainable business model to actually delivering the technical implementation. This case study provides an account of a successful predictive maintenance implementation for hydraulic systems from the perspective of Bosch Rexroth, a leading supplier in this field (Fig. 33.1).
Digital Twin 101
Authors: Slama Dirk 
Published: July 2023

AbstractDigital Twins are a digital representation of real-world physical entities. They help manage complexity and establish a semantic layer on top of the more technical layers. This in turn can make it easier to realize business goals and implement AI/ML solutions using machine data. This chapter provides an overview, some concrete examples, as well as a discussion in which situations the Digital Twin approach should be considered for an AIoT initiative (Fig. 4.1).
Canada
Authors: Tremblay Jean-François 
Published: July 2023

AbstractCanada has evolved into one of the most fiscally decentralized federations in the world. Provinces enjoy considerable autonomy and play a central role in designing and implementing economic and social policies. This chapter outlines key features of Canadian fiscal federalism, especially the extensive decentralization of legislative responsibilities and taxation powers to provincial governments, the wide-ranging intergovernmental transfer system designed to maintain fiscal balance between orders of governments and among provinces, as well as the mechanisms in place to promote some harmonization of policies and cooperation among provinces. Current challenges to Canadian fiscal federalism are outlined including pressures on horizontal and vertical fiscal balance associated with demographic changes, rapidly increasing costs in the public health care system which have been intensified by the Covid-19 pandemic, persistent tensions associated with the geographic concentration of natural resources, as well as pressures on municipal finance resulting from ongoing urbanization and growing infrastructure needs, among others.
Ethiopia
Authors: Senbeta Sisay Regassa , Hundie Yakob Bekele 
Published: July 2023

AbstractFiscal federalism in Ethiopia has been implemented within a unique political context. The adoption of a multiethnic federal system has reshaped the fiscal and economic landscape of the country since 1991. Following the political restructuring towards federalization, the culture of centralization of fiscal powers and responsibilities, which had been witnessed for more than half a century, has significantly been altered. Yet, Ethiopia is a highly centralized federation, both in design and practice. The division of powers favors the Federal government in legislation and policymaking. The provision of most public services is, however, significantly decentralized. The lucrative sources of revenue are assigned to be either exclusive federal powers or concurrent. As a result, Ethiopia’s fiscal federalism has been characterized by a high degree of fiscal imbalances, the Federal General-Purpose Grant (FGPG), an equalization transfer, being the dominant mechanism to bridge the imbalances. Revenue sharing and specific purpose transfers constitute only a very small proportion of Subnational finance. States’ borrowing rights are limited to internal sources and are subject to stringent preconditions set by the federal government.