bluuebunny/crossref_metadata_2025 huggingface dataset:
Delivery, maternal and neonatal outcomes in nulliparous women with gestational diabetes undergoing epidural labour analgesia: a propensity score-matched analysis
Authors: Chen Yu , Ye Xin , Wu Han , Yuan Xueling , Yu Xiaofang , Wu Huanghui , Wu Xiaodan , Chen Yanqing
Published: July 2022

Objective

This study aimed to retrospectively analyse the influence of epidural labour analgesia (ELA) on delivery and maternal and neonatal outcomes in nulliparous women with gestational diabetes mellitus (GDM) using propensity score-matched analysis.

Design

Retrospective cohort analysis.

Setting

Primary care practices in a teaching hospital from March 2018 to October 2021.

Participants

A total of 816 delivery records of nulliparous women with GDM were collected and retrospectively analysed.

Interventions

ELA and non-ELA (NELA) cohorts were assessed.

Main outcome measure

The primary outcome assessed was delivery type (spontaneous, assisted vaginal or caesarean). The secondary outcomes assessed included labour duration and maternal and neonatal outcomes.

Results

A total of 137 propensity score-matched pairs of ELA and NELA patients were analysed. ELA was associated with a decreased rate of caesarean section (18.3% vs 46.0% in the ELA vs NELA cohort, respectively; p<0.05) and an increased occurrence of assisted vaginal delivery (35.8% vs 12.4% in the ELA vs NELA cohort, respectively; p<0.05). The duration of the first and total stages of labour was prolonged, the occurrence of postpartum fever increased, and the duration of hospital stay was shortened in those receiving ELA (all p<0.05). Additionally, neonatal birth weight, plasma glucose levels and neonatal macrosomia occurrence increased, while neonatal intensive care unit admissions and neonatal hypoglycaemia decreased in the ELA versus the NELA group (all p<0.05). With respect to other maternal and neonatal outcomes, both cohorts were similar.

Conclusions

The use of ELA decreases the rate of caesarean section and improves maternal and neonatal outcomes in nulliparous women with GDM.

Trial registration number

ChiCTR-2000033091.
Impact of COVID-19 pandemic on emergency department visits and infant health: a scoping review protocol
Authors: Osborne Brenden , Moorjani-Houle Mélika , Fakhraei Romina , Walker Mark , Wen Shi Wu , Guo Yanfang
Published: July 2022

Introduction

The novel SARS-CoV-2 pandemic has provided a set of unique challenges for paediatric patients requiring emergency care across the globe. Reduction in paediatric emergency department (ED) usage during the COVID-19 pandemic has been widely reported, but no studies to date have consolidated and described what ramifications these reductions may have on neonatal and infant health. This scoping review aims to characterise the impact of the COVID-19 pandemic on infant ED visits and neonatal and infant health.

Methods and analysis

A comprehensive literature search will be conducted from March 2020 to July 2022 using the following databases: Embase (Ovid), Web of Science (Clarivate Analytics), Medline (Ovid) and CINAHL (EBSCOhost). This scoping review will use a five-step framework to guide the selection, extraction and analysis of data from eligible studies, with an additional sixth step for clinical consultation. Studies in English reporting the effect of the COVID-19 pandemic on infant ED visits, as well as neonatal and infant health, will be included for screening. Key findings will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews.

Ethics and dissemination

Research ethics board approval will not be required due to the nature of the study design. The results of this scoping review will be disseminated through publication in a peer-reviewed journal and presentation at academic conferences.
Applying ‘cultural humility’ to occupational therapy practice: a scoping review protocol
Authors: Singh Hardeep , Sangrar Ruheena , Wijekoon Sachindri , Nekolaichuk Erica , Kokorelias Kristina Marie , Nelson Michelle L A , Mirzazada Sofia , Nguyen Tram , Assaf Holly , Colquhoun Heather
Published: July 2022

Introduction

Cultural humility is becoming increasingly important in healthcare delivery. Recognition of power imbalances between clients and healthcare providers is critical to enhancing cross-cultural interactions in healthcare delivery. While cultural humility has been broadly examined in healthcare, knowledge gaps exist regarding its application in occupational therapy (OT) practice. This scoping review protocol aims to: (1) describe the extent and nature of the published health literature on cultural humility, including concepts, descriptions and definitions and practice recommendations, (2) map the findings from objective one to OT practice using the Canadian Practice Process Framework (CPPF), and (3) conduct a consultation exercise to confirm the CPPF mapping and generate recommendations for the practice of cultural humility in OT.

Methods and analysis

We will search Ovid Medline, Ovid Embase, Ovid PsycINFO, Ebsco CINAHL Plus, ProQuest ASSIA, ProQuest Sociological Abstracts, ProQuest ERIC, WHO Global Index Medicus, and Web of Science databases. Published health-related literature on cultural humility will be included. There will be no restrictions on population or article type. Following deduplication on Endnote, the search results will undergo title, abstract, and full-text review by two reviewers working independently on Covidence. Extracted data will include descriptors of the article, context, population, and cultural humility. After descriptive extraction, data describing cultural humility-related content will be descriptively and interpretively analysed using an inductive thematic synthesis approach. The data will also be mapped to OT practice through deductive coding using the CPPF. Occupational therapists and clients will be consulted to further critique, interpret and validate the mapping and generate practice recommendations.

Ethics and dissemination

Ethics approval was not required for this scoping review protocol. We will disseminate the findings, which can enhance understanding of cultural humility in OT, facilitate cross-cultural encounters between occupational therapists and clients and improve care outcomes through publications and presentations.
Biopsychosocial approach to tendinopathy
Authors: Edgar Nathan , Clifford Christopher , O'Neill Seth , Pedret Carles , Kirwan Paul , Millar Neal L
Published: August 2022

Tendinopathy describes a spectrum of changes that occur in damaged tendons, leading to pain and reduced function that remains extremely challenging for all clinicians. There is an increasing awareness of the influence that psychological and psychosocial components, such as self-efficacy and fear-avoidance, have on rehabilitation outcomes in musculoskeletal medicine. Although it is widely accepted that psychological/psychosocial factors exist in tendinopathy, there is currently a distinct lack of trials measuring how these factors affect clinical outcomes. Biopsychosocial treatments acknowledge and address the biological, psychological and social contributions to pain and disability are currently seen as the most efficacious approach to chronic pain. Addressing and modulating these factors are crucial in the pathway of personalised treatments in tendinopathy and offer a real opportunity to drive positive outcomes in patients. In this education review, we also provide the current evidence-based guidance on psychological and psychosocial developments in musculoskeletal medicine and how these may be translated to treating tendinopathy using a biopsychosocial model.
Mutational spectrum of the TSC1 gene in a cohort of 225 tuberous sclerosis complex patients: no evidence for genotype-phenotype correlation
Authors: van Slegtenhorst Marjon , Verhoef Senno , Tempelaars Anita , Bakker Lida , Wang Qi , Wessels Marja , Bakker Remco , Nellist Mark , Lindhout Dick , Halley Dicky , van den Ouweland Ans
Published: July 2022

Tuberous sclerosis complex is an inherited tumour suppressor syndrome, caused by a mutation in either the TSC1 or TSC2 gene. The disease is characterised by a broad phenotypic spectrum that can include seizures, mental retardation, renal dysfunction, and dermatological abnormalities. The TSC1 gene was recently identified and has 23 exons, spanning 45 kb of genomic DNA, and encoding an 8.6 kb mRNA. After screening all 21 coding exons in our collection of 225 unrelated patients, only 29 small mutations were detected, suggesting that TSC1 mutations are under-represented among TSC patients. Almost all TSC1 mutations were small changes leading to a truncated protein, except for a splice site mutation and two in frame deletions in exon 7 and exon 15. No clear difference was observed in the clinical phenotype of patients with an in frame deletion or a frameshift or nonsense mutation. We found the disease causing mutation in 13% of our unrelated set of TSC patients, with more than half of the mutations clustered in exons 15 and 17, and no obvious under-representation of mutations among sporadic cases. In conclusion, we find no support for a genotype-phenotype correlation for the group of TSC1 patients compared to the overall population of TSC patients.
Identification of a single ancestral CYP1B1 mutation in Slovak Gypsies (Roms) affected with primary congenital glaucoma
Authors: Plášilová Martina , Stoilov Ivaylo , Sarfarazi Mansoor , Kádasi Ludovít , Feráková Eva , Ferák Vladimír
Published: July 2022

Primary congenital glaucoma (PCG) is an autosomal recessive eye disease that occurs at an unusually high frequency in the ethnic isolate of Roms (Gypsies) in Slovakia. Recently, we linked the disease in this population to the GLC3A locus on 2p21. At this locus, mutations in the cytochrome P4501B1 (CYP1B1) gene have been identified as a molecular basis for this condition. Here, we report the results of CYP1B1 mutation screening of 43 PCG patients from 26 Slovak Rom families. A homozygous G→A transition at nucleotide 1505 in the highly conserved region of exon 3 was detected in all families. This mutation results in the E387K substitution, which affects the conserved K helix region of the cytochrome P450 molecule. Determination of the CYP1B1 polymorphic background showed a common DNA haplotype in all patients, thus indicating that the E387K mutation in Roms has originated from a single ancestral mutational event. The Slovak Roms represent the first population in which PCG is found to result from a single mutation in the CYP1B1 gene, so that a founder effect is the most plausible explanation of its increased incidence. An ARMS-PCR assay has been developed for fast detection of this mutation, thus allowing direct DNA based prenatal diagnosis as well as gene carrier detection in this particular population. Screening of 158 healthy Roms identified 17 (10.8%) mutation carriers, indicating that the frequency of PCG in this population may be even higher than originally estimated.
Clinical and molecular genetics of Stickler syndrome
Authors: Snead Martin P , Yates John R W
Published: July 2022

Stickler syndrome is an autosomal dominant disorder with characteristic ophthalmological and orofacial features, deafness, and arthritis. Abnormalities of vitreous gel architecture are a pathognomonic feature, usually associated with high myopia which is congenital and non-progressive. There is a substantial risk of retinal detachment. Less common ophthalmological features include paravascular pigmented lattice degeneration and cataracts. Non-ocular features show great variation in expression. Children with Stickler syndrome typically have a flat midface with depressed nasal bridge, short nose, anteverted nares, and micrognathia. These features can become less pronounced with age. Midline clefting, if present, ranges in severity from a cleft of the soft palate to Pierre-Robin sequence. There is joint hypermobility which declines with age. Osteoarthritis develops typically in the third or fourth decade. Mild spondyloepiphyseal dysplasia is often apparent radiologically. Sensorineural deafness with high tone loss may be asymptomatic or mild. Occasional findings include slender extremities and long fingers. Stature and intellect are usually normal. Mitral valve prolapse was reported to be a common finding in one series but not in our experience. The majority of families with Stickler syndrome have mutations in the COL2A1 gene and show the characteristic type 1 vitreous phenotype. The remainder with the type 2 vitreous phenotype have mutations in COL11A1 or other loci yet to be identified. Mutations in COL11A2 can give rise to a syndrome with the systemic features of Stickler syndrome but no ophthalmological abnormality.
Branched dodecaynes: synthesis and their optical properties
Authors: Xu Peng , Zhai Lei , Duan Huiyuan , Chen Huafeng , Qin Xi , Qin Yanjie , Zuo Yulan , Lian Xin , Yi Huan , Su Xiaodong , He Bai , Zhang Jinling
Published: July 2022

Two homologous branched dodecaynes 1,3,5-{(4- tBu)[2,3-(RC≡C)2]Ph(C≡C–C≡C)}3Ph (2a, R = H; 2b, R = Ph) were synthesized and characterized in this work. According to steady-state spectroscopy, their electronic absorption and luminescent behaviors were investigated and compared. Simultaneously, as a typical structure of this class of dodecaynes, the molecular configuration of dodecayne 2a was depicted by density functional theory (DFT) simulation and the maximal absorption were supported by the subsequent TD-DFT calculations. In addition, the electrochemiluminescence (ECL) emission was also investigated. The experiment results showed that π-extended dodecayne 2b with more distorted trigonal–planar possessed strong and stable ECL emission, indicating that it has potential application in ECL and luminescence fields.
Study of anisotropic compact stars with Krori–Barua spacetime in f(ℛ,𝒯2) gravity
Authors: Sharif M. , Akram H. M. Salman
Published: July 2022

The main objective of this paper is to examine the physical features and stability of anisotropic compact stellar objects in energy–momentum squared gravity. For this purpose, we apply Krori–Barua metric solutions and consider three different models of this modified theory to examine the physical characteristics of Her X-1, 4U 1538-52 and SAX J1808.4-3658 compact stars. We analyze the behavior of various physical quantities such as energy density, pressure components, energy conditions, equation of state parameter and anisotropic factor in the interior of these stars. We then use the estimated values of the sound speed and of the adiabatic index to explore the stability of these compact stars. It is found that all the required conditions are satisfied corresponding to all the selected models. We are therefore allowed to conclude that this modified theory provides viable and stable anisotropic compact stars.
The explicit and traveling wave solutions of the nonlinear Phi-4 model and its implementations
Authors: Yaro David , Seadawy Aly R.
Published: July 2022

Analysis of simple analytical wave solutions to nonlinear evolution equations is a fascinating and growing area of knowledge in highly nonlinear sciences. The Riccati equation rational expansion technique is being used in the paper to establish the exact traveling wave solutions of the Phi-4 model. We have investigated certain types of explicit solutions using this technique, such as periodic, hyperbolic, and rational solutions with some free parameters. The solitary wave solutions are derived from the traveling wave solutions when the parameters are set to particular values. In mathematical physics, it is discovered that the implemented technique is more effective for finding the analytical wave solution of nonlinear evolution models. The approach stands out for its simple and quick computation procedure.
Heat and mass transfer aspects of a transient bio-convective Maxwell nanofluid subject to convective boundary conditions with curved surface
Authors: Khan Muhammad Naveed , Hamam Haneen , Gamaoun Fehmi , Alhowaity Awatif , Yassen Mansour F. , Ghazwani Hassan Ali
Published: July 2022

The current paper focused on an unsteady bio-convective Maxwell nanofluid flow subject to convective boundary conditions through an exponentially stretching curved surface. The transportation of heat and mass are observed with thermophoresis and Brownian effect along with chemical reaction. The mathematical flow model is converted into a system of nonlinear system of ODEs via suitable transformation. The numerical solution of a nonlinear system of equations is established with the help of bvp4c MATLAB technique. It is deeply studied that in the curved surface, the pressure is never ignored. The graphical representation of several parameters along the temperature, concentration, microorganism density and velocity distribution is presented. It is examined that the greater estimation of curvature parameter boosts the temperature of fluid and concentration of nanoparticles, although a reverse trend is seen for the velocity profile. Further, it is examined from the numerical values that the heat and mass transfer rate reduce consequently with the enlargement of the curvature parameter.
Cryptanalyzing a Feistel Chaotic Block Cryptosystem Based on Correlation Power Analysis
Authors: Zhang Dezheng , Zhang Shunsheng , Luo Yuling , Cao Lvchen
Published: July 2022

Chaos-based block encryption algorithms have been proposed for years and their securities have been tested using conventional statistical methodologies, i.e. frequency analysis, avalanche analysis, entropy analysis, etc. However, when those algorithms are carried out on hardware devices, some crucial physical information may leak during the encryption or decryption processes. Feistel chaotic block cryptosystem has been proposed recently and is used for the block ciphers in different applications such as Internet-of-Things. In this work, the security of a Feistel chaotic block cryptographic algorithm is investigated by using Correlation Power Analysis (CPA) when the cryptographic system is in the process of performing encryption. Especially, the cryptosystem is implemented on an Atmel XMEGA128D4 micro controller. The attack points of Feistel chaos-based block encryption algorithm and power mapping model are analyzed in detail, and the procedure of utilizing CPA is given to cryptanalyze its hardware security. In theory, Multiple Samples Correlation Power Analysis (MSCPA) has a higher correct key differentiating level than CPA. However, in practice, if the correct key cannot be recovered by using CPA, the interesting sample points of power trace cannot be found for MSCPA. Experimental results show that the CPA can successfully obtain the secret key of Feistel cryptosystems and interesting sample points of power trace can be found, which laid a foundation of MSCPA to combine multiple samples of power trace. Further, the CPA can hit 100% success rate within [Formula: see text]50 power traces. Overall, this work can help efficiently evaluate the hardware security of Feistel chaotic block cryptosystem.
Analogs of Bol operators for 𝔭𝔤𝔩(a + 1|b) ⊂ 𝔳𝔢𝔠𝔱(a|b)
Authors: Bouarroudj Sofiane , Leites Dimitry , Shchepochkina Irina
Published: July 2022

Bol operators (Bols for short) are differential operators invariant under the projective action of [Formula: see text] between spaces of weighted densities on the 1-dimensional manifold. Here, we described analogs of Bols: [Formula: see text]-invariant differential operators between spaces of tensor fields on [Formula: see text]-dimensional supermanifolds with irreducible, as [Formula: see text]-modules, fibers of arbitrary, even infinite, dimension for certain “key” values of [Formula: see text] and [Formula: see text] — the ones for which the solution is describable. We discovered many new operators for [Formula: see text] and for the case of [Formula: see text]-dimensional general superstring, which looks like a most natural superization of Bol’s result, additional to the cases of super analogs of Bols between spaces of weighted densities on the [Formula: see text]-dimensional superstrings with a contact structure we classified in arXiv:2110.10504. In the case of fibers of dimension [Formula: see text], there are [Formula: see text]-parameter families of Bols, whereas there are no non-scalar nonzero differential operators between spaces of weighted densities. These two extreme answers justify the selection of cases here.
Fourth-Order Partial Differential Equation Framelet Fusion-Based Colour Correction and Contrast Enhancement for Underwater Images
Authors: Nnolim Uche A.
Published: July 2022

A framelet augmented fourth-order forward-reverse partial differential equation (PDE)-fusion-based algorithm is proposed for underwater image enhancement. The algorithm combines framelet domain transform-based fusion of modified base, detail and amplified detail layers in a PDE-based formulation. The extracted layers via framelet decomposition with adaptive threshold computation comprise the detail and approximation components of the images, which are amplified, attenuated and aggregated. Additions include a modified global contrast enhancement/color correction function and a suitable color space transformation to enhance difficult underwater images with flat non-overlapping color channel histograms. Also, gradient domain fusion of several color corrected image layers and fuzzy rule-based enhancement is combined in the proposed PDE-based fusion framework. Furthermore, variational illumination correction was also employed for better enhancement of dark underwater images. Experimental comparisons indicate that the proposed approaches yield better overall visual and numerical results in most cases when compared with state-of-the-art methods.
Synthesis and Characterization of MWCNTs/ZnO Nanocomposites for Device Applications
Authors: Ahmad Anis , Kheralia Devendra , Kundu Shyamal Kumar
Published: August 2022

The nanocomposite was created in order to investigate field emission (FE) applications. A MWCNTs/ZnO nanocomposite, by combining ZnO thin films with multi-wall carbon nanotubes (MWCNTs), was synthesized by the use of chemical vapor deposition (CVD) techniques for FE applications. The thin films were then prepared by dip-coating and drop-casting onto a silicon substrate. The field emission scanning electron microscopy (FESEM), Raman spectroscopy and the X-ray diffraction (XRD) techniques were used to characterize the MWCNTs and MWCNTs/ZnO nanocomposite separately and compare the results. From Raman spectra, the calculated values of ID/IG are, respectively, 0.521 and 0.950, which confirm the certain defects and disorders produced after coating of ZnO nanoparticles on the MWCNTs’ surface. From the current density–electric field plot, it is found that the FE properties increased by three times which indicates that MWCNTs/ZnO nanocomposite can be useful for ideal cathode emitters.
Alternating Minimization-Based Sparse Least-Squares Classifier for Accuracy and Interpretability Improvement of Credit Risk Assessment
Authors: Zhang Zhiwang , He Jing , Zheng Hui , Cao Jie , Wang Gang , Shi Yong
Published: July 2022

When dealing with complex and redundant data classification problems, many classifiers cannot provide high predictive accuracy and interpretability. We also find that the least-squares support vector classifiers (LSSVCs) hardly identify important instances and features from data, so they cannot give an interpretable prediction. Although the LSSVC has the properties of low bias and high robustness, its high variance often gives a poor predictive performance. In this paper, we propose an alternating minimization-based sparse least-squares classifier (AMSLC) approach in the framework of LSSVCs to address the aforementioned problems. Based on the reconstructed row- and column-wise kernel matrices, the sparsity-induced [Formula: see text]-norm approximation function is introduced to the LSSVC model. By alternately solving two unconstrained quadratic optimization problems or two systems of linear equations, AMSLC can predict the class labels of given instances and extract the least number of important instances and features to obtain the interpretable classification. Compared with SVC, LSSVC, [Formula: see text]-norm SVC (L1SVC), [Formula: see text]-norm SVC (L0SVC), the least absolute shrinkage and selection operator classifier (LASSOC), and multiple kernel learning SVC (MKLSVC) on four real credit datasets, the experimental results show that the proposed AMSLC method generally obtains the best predictive accuracy and the interpretable classification with the minimum number of important instances and features.
A cohomological proof for the integrability of strict Lie 2-algebras
Authors: Angulo Camilo
Published: July 2022

We prove a series of van Est type theorems relating the cohomologies of strict Lie 2-groups and strict Lie 2-algebras, and use them to prove the integrability of strict Lie 2-algebras anew.
Automorphism groups of bipartite Kneser type-k graphs
Authors: Sreekumar K. G. , Ramesh Kumar P. , Manilal K.
Published: August 2022

For integers [Formula: see text], [Formula: see text], let [Formula: see text]. Let [Formula: see text] be the set of all non-empty subsets of [Formula: see text]. Let [Formula: see text] be the set of [Formula: see text]-element subsets of [Formula: see text], and [Formula: see text]. A bipartite Kneser type-[Formula: see text] graph [Formula: see text] is defined with parts [Formula: see text] and [Formula: see text], and a vertex [Formula: see text] is adjacent to a vertex [Formula: see text] if and only if [Formula: see text] or [Formula: see text]. The algebraic properties of bipartite Kneser type-[Formula: see text] graphs are investigated. For any integers [Formula: see text], the automorphism groups of bipartite Kneser type-1 graphs are isomorphic to the symmetric group [Formula: see text]. The bipartite Kneser type-1 graph’s Wiener index, peripheral Wiener index, and peripheral Hosoya polynomial were established. For integers [Formula: see text] and [Formula: see text], [Formula: see text] and [Formula: see text] or [Formula: see text], [Formula: see text], the automorphism group of [Formula: see text] is isomorphic to the symmetric group [Formula: see text]. For [Formula: see text] is even and [Formula: see text], the automorphism group of [Formula: see text] is isomorphic to [Formula: see text], where [Formula: see text] is the cyclic group of order 2.
Stability analysis and optimization problem fractional of a predator–prey system with Holling II functional response
Authors: Bourega Abdeldjabar
Published: August 2022

The Kolmogorov model has been applied to numerous organic and natural issues. We are especially inspired by one of its variations, that is, a Gauss-type hunter prey model that incorporates the allee impact and Holling type-II utilitarian reaction. Rather than utilizing exemplary first request differential conditions to figure the model, fragmentary request differential conditions are used. The presence and uniqueness of a nonnegative arrangement just as the conditions for the presence of balance focuses are given. We then, at that point, examine the neighborhood strength of the three sorts of harmony focuses by utilizing the linearization strategy.

This paper manages an ideal control issue of a hunter prey framework with a Holling II useful reaction. The model viable joins an asylum ensuring [Formula: see text] of the prey and leaves ux of the prey accessible to the hunter, where [Formula: see text]. By using Pontryagin’s Most extreme Standard for partial, we concentrate on the ideal control issue viewing u as a control work.
THE IMPACTS OF DATA-DRIVEN LEADERSHIP IN IR4.0 ADOPTION ON FIRM PERFORMANCE IN MALAYSIA
Authors: LOK CHAR-LEE , CHUAH SHU-FEN , HOOY CHEE-WOOI
Published: July 2022

The primary purpose of this study is to develop a novel framework to explain the effects of data-driven leadership in IR4.0 adoption on firm performance. We proposed four dimensions for the data-driven leadership: (1) the experience of key personnel with IR4.0 adoption, (2) the appointment of a chief information officer (CIO), (3) the establishment of a technology committee, and (4) the acquisition of technology. This study includes 943 public-listed firms traded on Bursa Malaysia from 2015 to 2019. Using the random effects model (REM), our study shows that data-driven leadership in IR4.0 adoption, particularly the appointment of a CIO and the acquisition of technology, is positively associated with Tobin’s [Formula: see text] and market-to-book value of the firms. Subsample analysis reveals that data-driven leadership has greater significant positive impacts on firm performance in manufacturing-related firms. Further analysis also provides evidence that CEO duality and CEO age negatively affect the role of CIO in manufacturing firms. In contrast, CEO age and founder CEO negatively affect the role of key personnel fitted with IR4.0 experience in nonmanufacturing firms. However, founder CEO in nonmanufacturing-related firms which incorporated IR4.0 technology into the business could significantly improve firm performance. Lastly, there is a noticeable drop in performance when the boards are busy. Our study provides recommendations to both industry and government IR4.0 policy and contributes to leadership literature scholarly, particularly in the data-driven leadership viewpoint in both manufacturing- and nonmanufacturing-related sectors in the era of IR4.0.
A new interpretation for the Pliensbachian Cook Formation (northern North Sea) as north–south-prograding tidal deltas and shelf ridges in the Early Jurassic Seaway: new model of linkage to the Norwegian Sea
Authors: Folkestad Atle , Steel Ronald J.
Published: July 2022

The Lower Jurassic Cook Formation reservoir is a hydrocarbon-prolific unit that produces from several fields in the northern North Sea. For 40 years this formation has been interpreted as a westward-prograding deltaic unit sourced from Norway. Despite numerous discoveries, exploration targeting this unit has been hampered by well failures with lack of reservoir sand, discouraging companies from further exploration of this play.

During a current re-evaluation of the process sedimentology of the Norwegian offshore basins, the Cook Formation is now interpreted as the middle to distal reaches of a very large, north-to-south-oriented delta system, variably confined within the Early Jurassic Seaway running from the Norwegian Sea into the northern North Sea. The Cook Formation is a subaqueous delta built southward during regression, whereas several internal transgressive phases produced sands that were reworked as north–south-oriented, shelf tidal ridges. The tidal ridges of the Cook Formation constitute some of the best reservoirs and are elongated with stacked, well-sorted, cross-bedded sandstone sets with mudstone drapes. Both the elongate tidal sand-ridges and intervening mudstone-rich, inter-ridge zones are proven by numerous well observations and illustrated by seismic amplitudes. In contrast to earlier eastern derivation models, these new results for the depositional system of the Cook Formation better explain the Cook well successes and failures in the northern North Sea.

This work also strongly suggests that the tide-dominated subaqueous delta to transgressive-ridge system of the Cook Formation is spatially linked with the time-equivalent shorelines, subaerial tidal deltas and estuaries of the Tilje Formation in the Haltenbanken region to the north. The Tilje Formation deltas built into the Early Jurassic Seaway due to rift-initiation and rift-shoulder uplift, drained southwards and spilled eventually into the northern North Sea, becoming the entirely subaqueous Cook Formation. The relatively narrow seaway enhanced the tidal currents and suppressed wave activity, resulting in Cook subaqueous delta lobes and ridges without any delta-top facies. Overall, this elongate and extensive, Pliensbachian deltaic to estuarine system of the Early Jurassic Seaway off Norway competes in scale with some of Earth's largest present-day deltas.
Machine Learning-based Short-term Rainfall Prediction from Sky Data
Authors: Tey Fu Jie , Wu Tin-Yu , Chen Jiann-Liang
Published: July 2022

To predict rainfall, our proposed model architecture combines the Convolutional Neural Network (CNN), which uses the ResNet-152 pre-training model, with the Recurrent Neural Network (RNN), which uses the Long Short-term Memory Network (LSTM) layer, for model training. By encoding the cloud images through CNN, we extract the image feature vectors in the training process and train the vectors and meteorological data as the input of RNN. After training, the accuracy of the prediction model can reach up to 82%. The result has proven not only the outperformance of our proposed rainfall prediction method in terms of cost and prediction time, but also its accuracy and feasibility compared with general prediction methods.
Implementing Ability-Based Design: A Systematic Approach to Conceptual User Modeling
Authors: Nolte Amelie , Wobbrock Jacob , Volkmann Torben , Jochems Nicole
Published: July 2022

The notion of
Ability-Based Design
, put forth by Wobbrock et al. [
80
,
82
] as a solution to the challenge of creating accessible technology, has been discussed in human-computer interaction research now for over a decade. However, despite being cited as influential on various projects, the concept still lacks a general characterization of
how
to implement its required focus on abilities. In particular, it lacks a formulation of how to perceive and model users within an articulated design process. To address this shortcoming, we rely on conceptual user modeling to examine Ability-Based Design and propose a characterization of it that is not dependent upon a specific project or research effort but that enables the ability-based design of new technologies in a systematic manner. Our findings show that Ability-Based Design’s focus on abilities requires important changes in typical user modeling approaches that cannot be met with current techniques. Based on the challenges identified through our analysis, we propose a first modification not only of current user modeling but also of current requirements analysis approaches to address abilities and their intertwined dependencies with tasks and contexts as core elements of conceptual models in Ability-Based Design. We thereby demonstrate not only the complexity of modeling users’ abilities, but also draw out promising ideas and perspectives for future research, emphasizing the need for future evaluative work on our approach.
Reminiscences on Influential Papers
Authors: Özsu M. Tamer
Published: July 2022

This column was established by Richard Snodgrass in 1998 and was continued by Ken Ross from 1999 to 2005. It celebrated one of the key aspects that makes us grow as a research community: the papers that influence us. At each issue, different members of the data management community wrote anecdotes about a paper that had a unique impact in their career. The anecdotes highlighted that impact can come in many forms. A paper's value is not only in its citation count, but also in the way it influences individuals who in turn influence other individuals that make up our community. Such impact is not countable.

When the SIGMOD Record's editor-in-chief Rada Chirkova approached me to revive this column last year, I was immediately excited. I would like to thank Rada Chirkova, Richard Snodgrass, and Ken Ross for this opportunity. I am delighted to present the three invited contributions for this issue. Hope you enjoy reading them as much as I did.

While I will keep inviting members of the data management community, and neighboring communities, to contribute to this column, I also welcome unsolicited contributions. Please contact me if you are interested.
Deciding What Not to Do
Authors: Maier David
Published: July 2022

I recall an early conversation with my advisor, a couple years after I completed my PhD. I was worried about not having been invited onto any program committees when others in my cohort were getting such opportunities. He assured me that it would come in time, though I was still anxious. He was right; after another year or so, the invitations started coming. At this point, I need to decline most of them, or I'd spend all my time reviewing.
OpenDS4All
Authors: de Waal Andre , Echeverri Ana
Published: July 2022

Over the past decade, the interest in data science careers has been unwavering. In 2001, Linkedin ranked data science specialists as one of its top jobs, and noted that hiring for these roles have grown nearly 46 percent since 2019. Yet there is still a significant data science skills gap in the market and part of the problem is education focused. Research conducted by the University of California, Riverside shows that fewer than a third of the US News & World Report's Top 100 Global Universities offer degrees in Data Science, and most programs are still taught at a graduate or PhD level.
Towards Passive, Migration-Free, Standardized, Long-Term Database Archival
Authors: Appuswamy Raja
Published: July 2022

"How would you archive databases for the next 60 years such that they incur no migration cost, and they remain usable in 2080?" This was an open challenge raised by digital preservation experts from the Landesarchiv of Baden-W¨urttemberg [12], who, similar to other memory institutions (archives, museums, libraries, etc.), have faced several challenges in archiving culturally significant, historic data stored in digital databases since early 1960s.
Asymmetric Inheritance: The Diversity and Evolution of Non-Mendelian Reproductive Strategies
Authors: Ross Laura , Mongue Andrew J. , Hodson Christina N. , Schwander Tanja
Published: July 2022

The ability to reproduce is the key trait that distinguishes living organisms from inorganic matter, and the strategies used to achieve successful reproduction are almost as diverse as the organisms themselves. In animals, the most widespread form of reproduction involves separate male and female sexes: Each sex produces haploid gametes via meiosis, and two gametes fuse to form a new diploid organism. In some cases, both parents contribute equally to the nuclear and cytoplasmic genomes of their offspring. However, such fully symmetric reproduction of both parents represents the extreme end of a continuum toward complete asymmetry, where offspring inherit their nuclear and cytoplasmic genomes from only one of the two parents. Asymmetries also occur with respect to the fate of maternally and paternally inherited genomes and which sex is affected by non-Mendelian inheritance. In this review, we describe the diversity of animal reproductive systems along different axes with a symmetry–asymmetry continuum and suggest evolutionary routes that may have led to increased levels of asymmetry.
Asymmetric Histone Inheritance: Establishment, Recognition, and Execution
Authors: Urban Jennifer A. , Ranjan Rajesh , Chen Xin
Published: July 2022

The discovery of biased histone inheritance in asymmetrically dividing Drosophila melanogaster male germline stem cells demonstrates one means to produce two distinct daughter cells with identical genetic material. This inspired further studies in different systems, which revealed that this phenomenon may be a widespread mechanism to introduce cellular diversity. While the extent of asymmetric histone inheritance could vary among systems, this phenomenon is proposed to occur in three steps: first, establishment of histone asymmetry between sister chromatids during DNA replication; second, recognition of sister chromatids carrying asymmetric histone information during mitosis; and third, execution of this asymmetry in the resulting daughter cells. By compiling the current knowledge from diverse eukaryotic systems, this review comprehensively details and compares known chromatin factors, mitotic machinery components, and cell cycle regulators that may contribute to each of these three steps. Also discussed are potential mechanisms that introduce and regulate variable histone inheritance modes and how these different modes may contribute to cell fate decisions in multicellular organisms.
Gender in the Elite
Authors: Keister Lisa A. , Thébaud Sarah , Yavorsky Jill E.
Published: July 2022

Research on elites experienced a resurgence in sociology over a decade ago, but this work was largely gender neutral. Recently, a body of work on elite women and gender dynamics in elite families emerged and is growing rapidly. We propose here that gendered processes are critical for understanding the reproduction of elite privilege and inequality and highlight three subjects that dominate contemporary literature in this area. First, we address who counts as an elite and gender differences in pathways to the elite. Second, we discuss elite family dynamics and the mechanisms that create traditional gender divisions of labor in elite households. Third, we underscore the significant power that elites have and discuss gender differences in the sources of power. We conclude by identifying areas for future directions, including honing empirical and theoretical understandings of the complex relationship between gender and rising class inequality.
Exosomes facilitate intercellular communication between uterine perivascular adipose tissue and vascular smooth muscle cells in pregnant rats
Authors: Osikoya Oluwatobiloba , Cushen Spencer C. , Gardner Jennifer J. , Raetz Megan M. , Nagarajan Bhavani , Raut Sangram , Goulopoulou Styliani
Published: July 2022

Uterine perivascular adipose tissue secretes exosome-like vesicles, which are internalized by their adjacent uterine vascular smooth muscle cells. Consideration of the exosomal communication between adipose tissue and vascular smooth muscle cells in the uterine circulation in mathematical models and experimental designs may help us to improve understanding of mechanisms underlying uterine artery adaptive responses to a healthy pregnancy and during pregnancy complications.
Comparison between High-Power Short-Duration and Conventional Ablation Strategy in Atrial Fibrillation: An Updated Meta-Analysis
Authors: Li Mohan , Ma Yingxu , Lin Qiuzhen , Huang Yunying , Liu Yaozhong , Tu Tao , Liu Qiming
Published: July 2022

High-power short-duration (HPSD) setting during radiofrequency ablation has become an attempt to improve atrial fibrillation (AF) treatment outcomes. This study ought to compare the efficacy, safety, and effectiveness between HPSD and conventional settings. PubMed, Embase, and Cochrane Library were searched. Studies that compared HPSD and conventional radiofrequency ablation settings in AF patients were included while studies performed additional ablations on nonpulmonary vein targets without clear recording were excluded. Data were pooled with random-effect model. Efficacy endpoints include first-pass pulmonary vein isolation (PVI), acute pulmonary vein (PV) reconnection, free from AF, and free from atrial tachycardia (AT) during follow-up. Safety endpoints include esophagus injury rate and major complication rate. Effectiveness endpoints include complete PVI rate, total procedure time, PVI time, and PVI radiofrequency ablation (PVI RF) time. We included 22 studies with 3867 atrial fibrillation patients in total (2393 patients received HPSD radiofrequency ablation). Perioperatively, the HPSD group showed a higher first-pass PVI rate (risk ratio,

RR
=
1.10

,

P
=
0.0001

) and less acute PV reconnection rate (

RR
=
0.56

,

P
=
0.0004

) than the conventional group. During follow-up, free from AF (

RR
=
1.11

,

P
=
0.16

) or AT (

RR
=
1.06

,

P
=
0.24

) rate did not differ between HPSD and conventional groups 6-month postsurgery. However, the HPSD group showed both higher free from AF (

RR
=
1.17

,

P
=
0.0003

) and AT (

RR
=
1.11

,

P
<
0.0001

) rate than the conventional group 12-month postsurgery. The esophagus injury (

RR
=
0.99

,

P
=
0.98

) and major complications (

RR
=
0.76

,

P
=
0.70

) rates did not differ between the two groups. The HPSD group took shorter total procedure time (

MD
=
−
33.71

95% CI: -43.10 to -24.33,

P
<
0.00001

), PVI time (

MD
=
−
21.60

95% CI: -25.00 to -18.21,

P
<
0.00001

), and PVI RF time (

MD
=
−
13.72

, 95% CI: -14.45 to -13.00,

P
<
0.00001

) than conventional groups while complete procedure rate did not differ between two groups (

RR
=
1.00

,

P
=
0.93

). HPSD setting during AF radiofrequency ablation has better effectiveness, efficacy, and similar safety compared with the conventional setting.
An Overall Research on Industry Ecological and Technical Solutions for 5G-V2X in Port Park Scenario
Authors: Pan Hua
Published: July 2022

Aiming at improving the user’s driving safety and travel efficiency and satisfying their future needs of highly autonomous driving services and based on the features of 5G’s ultralow latency, ultrahigh reliability, and ultrawide broadband, this paper proposes an overall solution for 5G-V2X, including industry ecological solutions and technical solutions. The industry ecological solutions include the analysis of the Internet of Vehicles industry chain architecture, future business models, and innovative ecosystems. The technical solutions include the overall solution for V2X, the overall blueprint of the planning function for V2X, core technology scenarios, and key technical capabilities. These solutions can integrate users, vehicles, and roads completely and effectively, which helps the government to achieve effective monitoring and management of intersection of user-vehicle-road and realizes the 5G-based V2X pan-transportation and logistics ecology. The validity and feasibility of these solutions are verified by some applications in the port park.
A Novel Approach to Skin Lesion Segmentation: Multipath Fusion Model with Fusion Loss
Authors: Alhudhaif Adi , Ocal Hakan , Barisci Necaattin , Atacak İsmail , Nour Majid , Polat Kemal
Published: July 2022

Segmentation of skin lesions plays a very important role in the early detection of skin cancer. However, indistinguishability due to various artifacts such as hair and contrast between normal skin and lesioned skin is an important challenge for specialist dermatologists. Computer-aided diagnostic systems using deep convolutional neural networks are gaining importance in order to cope with difficulties. This study focuses on deep learning-based fusion networks and fusion loss functions. For the automatic segmentation of skin lesions, U-Net (U-Net + ResNet 2D) with 2D residual blocks and 2D volumetric convolutional neural networks were fused for the first time in this study. Also, a new fusion loss function is proposed by combining Dice Loss (DL) and Focal Tversky Loss (FTL) to make the proposed fused model more robust. Of the 2594 image dataset, 20% is reserved for test data and 80% for training data. In test data training, a Jaccard score of 0.837 and a dice score of 0.918 were obtained. The proposed model was also scored on the ISIC 2018 Task 1 test images, whose ground truths were not shared. The proposed model performed well and achieved a Jaccard index of 0.800 and a dice score of 0.880 in the ISIC 2018 Task 1 test set. In addition, it has been observed that the new fused loss function obtained by fusing Focal Tversky Loss and Dice Loss functions in the proposed model increases the robustness of the model in the tests. The proposed new loss function fusion model has outstripped the cutting-edge approaches in the literature.