bluuebunny/crossref_metadata_2025_split huggingface dataset:
COVID‐19's impact on type 1 diabetes management: A mixed‐methods study exploring the Peruvian experience
Authors: Zafra‐Tanaka Jessica Hanae , Najarro Lizzete , Tenorio‐Mucha Janeth , Lazo‐Porras Maria , Bartra Diego , Bazán Gina , Berghusen Anteparra María Claudia , Bonilla Ursula , Motta Vicky , Beran David 
Published: July 2022

AbstractIntroductionThe COVID‐19 pandemic has negatively impacted health services, especially in low‐and‐middle‐income countries, where care for chronic conditions such as diabetes was disrupted. Our study aims to describe the challenges faced by people living with Type 1 diabetes mellitus (T1DM) to access care during the COVID‐19 pandemic in Peru.MethodsA sequential explanatory mixed‐method study was conducted between May and September 2020 including health professionals involved in T1DM care, people with T1DM and their caregivers. The study consisted of a quantitative strand to gather general information through electronic surveys and a qualitative strand that involved in‐depth interviews.ResultsFor the quantitative study, we included 105 people with T1DM, 50 caregivers and 76 health professionals. The qualitative study included a total of 31 interviews; 16 people with T1DM, 14 health care professionals, and one representative from the Peruvian Ministry of Health (MoH). People with T1DM faced difficulties accessing consultations, insulin, monitoring devices and laboratory testing during the pandemic. Different phases of the Peruvian health system response were found. Firstly, an initial informal response to addressing T1DM care during the pandemic characterised by local initiatives to ensure continuity of care for people with T1DM. Following from this, a formal response was implemented by the MoH which focussed on reinforcing the primary level of care. Measures included teleconsultations and delivery of medicines, although these were not implemented in all health care establishments. Throughout the pandemic patient associations played an important role in organising and helping to counteract the impact of COVID‐19 on people with T1DM.ConclusionsThe Peruvian health care system slowly adapted to the COVID‐19 pandemic to provide care for people with T1DM. However, people with T1DM had difficulties to access care. Thus, reinforcement of interventions such as communication between levels of care, teleconsultations and delivery of medicines was urgently needed. Patient associations' capacity to respond should be considered by local authorities and civil society should be part of the health system response.
Setting Current Context for Security in the Future of Systems Engineering
Authors: Dove Rick 
Published: July 2022

ABSTRACTSecurity in the Future of Systems Engineering (FuSE) is one of the topic areas under the INCOSE FuSE initiative. A roadmap for starting the journey published at the 2021 INCOSE International Symposium offered eleven strategic concepts appropriate and ready for further movement toward standard practice. Initial work in that direction enticed several practitioners and researchers to address selected concepts in this special issue of the INCOSE's INSIGHT publication. The purpose of this lead‐off article is to provide a contextual backdrop for the articles that follow.
Measuring Stakeholder Alignment to Overcome Control System Cyber Vulnerability
Authors: Scalco Aleksandra , Simske Steve 
Published: July 2022

ABSTRACTDisagreement exists among professionals due to variances in engineering practice, paradigms, processes, and culture. Understanding the whole picture and what can improve things is a continuous science and engineering challenge. This challenge holds particularly true for systems that control the physical world, such as power systems that oversee occupational health and safety issue resources—stakeholder disagreement results in measurable misalignment that leads to vulnerability. The vulnerability induced by stakeholder misalignment may be greater than any innate system design vulnerability. It is possible to measure the uncertainty of agreement through statistical analysis and use an analytical model to identify pain points where different sets of stakeholders disagree. The same measure can assess stakeholder sources beginning with a vulnerability assessment to help drive better alignment and, eventually, agreement. It is the disagreement that ends up in vulnerability. This paper describes the analytic model and methodology as a new means of assessing uncertainty and interpreting Likert scores to overcome control system cybersecurity vulnerability.
Modeling for Trustworthiness
Authors: Winstead Mark 
Published: July 2022

ABSTRACTOne concept within Security in the Future of Systems Engineering, a Roadmap of Foundation Concepts (Dove et al. 2021) is that of modeling trust – providing a level of system security through evidence‐based assurance. This paper discusses some leverage points for progressing to such an end, using methods and techniques from other engineering disciplines, specifically safety, to model trust and evaluate assurance and assurance deficits (i.e., risk).
Quantum computing in pharma: A multilayer embedding approach for near future applications
Authors: Izsák Róbert , Riplinger Christoph , Blunt Nick S. , de Souza Bernardo , Holzmann Nicole , Crawford Ophelia , Camps Joan , Neese Frank , Schopf Patrick 
Published: July 2022

AbstractQuantum computers are special purpose machines that are expected to be particularly useful in simulating strongly correlated chemical systems. The quantum computer excels at treating a moderate number of orbitals within an active space in a fully quantum mechanical manner. We present a quantum phase estimation calculation on F2 in a (2,2) active space on Rigetti's Aspen‐11 QPU. While this is a promising start, it also underlines the need for carefully selecting the orbital spaces treated by the quantum computer. In this work, a scheme for selecting such an active space automatically is described and simulated results obtained using both the quantum phase estimation (QPE) and variational quantum eigensolver (VQE) algorithms are presented and combined with a subtractive method to enable accurate description of the environment. The active occupied space is selected from orbitals localized on the chemically relevant fragment of the molecule, while the corresponding virtual space is chosen based on the magnitude of interactions with the occupied space calculated from perturbation theory. This protocol is then applied to two chemical systems of pharmaceutical relevance: the enzyme [Fe] hydrogenase and the photosenzitizer temoporfin. While the sizes of the active spaces currently amenable to a quantum computational treatment are not enough to demonstrate quantum advantage, the procedure outlined here is applicable to any active space size, including those that are outside the reach of classical computation.
Experimental investigation on recovery of bio‐based protocatechuic acid using ionic liquids
Authors: Antony Fiona Mary , Wasewar Kailas L 
Published: July 2022

AbstractBACKGROUNDThe production of protocatechuic acid (PCA) (which has significant applications in organic intermediates, chemical reagents, pharmaceuticals, dye synthesis, etc.) by fermentation is a potential replacement to the conventional petrochemical routes of carboxylic acid production. However, the extraction processes of these carboxylic acids from fermentation broths and dilute waste water using organic solvents imply additional environment hazards. Ionic liquids (ILs) have come to the focus because of their superior properties as well as environmentally friendly nature, and are being intensively used for separation processes. The equilibrium extraction efficiency for bio PCA using two imidazolium ILs – 1‐butyl‐3‐methylimidazolium tetrafluoroborate (bmimBF4) and 1‐butyl‐3‐methylimidazolium hexafluorophosphate (bmim‐PF6) – was investigated under isothermal conditions in diluent octanol. The distribution coefficient and extraction efficiency were determined to be much greater than those obtained with traditional extractants and diluents.RESULTSThis work is the first of its type to use ILs for PCA isolation. From the equilibrium extraction experiments conducted it was observed, in octanol, that the average distribution coefficients (KD) values for bmimBF4 and bmim‐PF6 were 5.3 and 5.36, respectively, with average extraction efficiencies of 83.84% and 84.08% at a lower IL concentration of 10% by volume, and the findings may be utilised to develop an extraction purification system for PCA separation from aqueous streams. Multiple stages of separation may lead to almost 100% recovery.CONCLUSIONPCA was efficiently extracted from aqueous solutions using bmimBF4 and bmim‐PF6 in octanol, providing preliminary practical information and theoretical support for PCA separation, purification and recovery. © 2022 Society of Chemical Industry (SCI).
Application of dye saturated clay adsorbent from dyeing wastewater as textile printing pigment
Authors: Rahimi Abd Allah , Alihosseini Farzaneh 
Published: July 2022

AbstractBackgroundAdsorption by cheap materials (like clay and activated carbon) is one of the most effective methods for treating dye wastewaters, especially for cationic dyes. Although activated carbon has a black residue, the unique nanostructure of clay adsorbs dye molecules between its layers and produces a colored sludge. Dye intercalated clays were also introduced as possible coloring pigments. This work tries to combine the wastewater treatment and hybrid pigment production processes so that the remaining sludge of the process can be used as a printing pigment.ResultsBentonite clay was examined for treating real dye wastewater from the textile industry containing four cationic dyes. The adsorption mechanism of all dyes was studied individually, and the results show that bentonite has a minimum adsorption capacity of 467 mg/g for Basic Red 46 dye based on the Langmuir model. The adsorption process decreased the turbidity by about 86% and reduced the total dissolved solids (TDS) and chemical oxygen demand (COD) of wastewater. The produced hybrid showed a nano‐layer structure according to the field emission scanning electron microscopy (FESEM). Differential thermal analysis (DTA) shows that the thermal stability of the pigment improved by about 30 °C compared to the pristine dye. Fourier transform infrared (FTIR) and thermogravimetric analysis (TGA) showed that the dye: bentonite ratio should be adjusted at a medium level to control the hydrophilicity of the hybrid and improve its miscibility in binders.ConclusionThe produced pigment was printed on cotton fabric with a desirable visual color appearance and showed acceptable rubbing and light fastnesses. The result indicates that wastewater sludge from this adsorption process could be applicable as an industrial pigment. © 2022 Society of Chemical Industry (SCI).
Coprinopsis afrocinerea (Agaricales, Psathyrellaceae): First record from Asia (Pakistan)
Authors: Ullah Tauseef , Saba Malka , Syed Mahrukh Farid 
Published: July 2022

AbstractIn this work, we introduced a new report, Coprinopsis afrocinerea, a coprinoid mushroom from Pakistan. This species was collected several times during the monsoon season; it was found growing on animal dung and on sandy soil mixed with wood chips and leaf litter. This taxon was identified through morphological (macro‐ and micromorphology) techniques and molecular (ITS‐region) markers. Results showed that Pakistani collection's macro‐ and micro‐morphological characters match the type specimen of Coprinopsis afrocinerea. In the phylogenetic tree, sequences of our collections fall within section Cinereae and are clustered with type sequences of Coprinopsis afrocinerea with strong statistical support. This species has already been reported from Africa and is described here for the first time from Asia. Previously, only seven species of Coprinopsis have been reported from Pakistan, and in this study, the number of known taxa has increased to eight. This paper provides a detailed morphological and molecular analysis of this species to differentiate it from closely related taxa.
感染性心内膜炎による脾炎からの脾臓破裂を来した1例(A case of splenic rupture owing to splenitis caused by infective endocarditis)
Authors: (Tomonori Kaburaki) 蕪木 友則 , (Naoshige Harada) 原田 尚重 , (Syunsuke Hara) 原 俊輔 
Published: July 2022

要旨感染性心内膜炎の合併症として，まれではあるが脾臓破裂がある。脾臓破裂は，感染性心内膜炎のために，脾臓に梗塞，膿瘍，感染性動脈瘤を形成し，その後破裂することが多いとされる。しかし，今回我々は，梗塞，膿瘍，感染性動脈瘤形成が認められず，感染性心内膜炎からの脾炎による脾臓破裂というまれな症例を経験したので報告する。症例は55歳の男性。発熱を主訴に入院し，血液培養でStreptococcus oralisが検出され，心臓超音波検査で僧帽弁に15mm大の疣贅を認め感染性心内膜炎と診断され，抗菌薬治療を行っていた。重度の僧帽弁逆流症を認めており，早期手術の方針であった。しかし，術前検査中に急性期脳梗塞，脳出血を認めたため，待機的手術の方針に変わった。その後の入院中に突然左側腹部痛と血圧低下を認め，ショック状態となり，CTで脾臓出血の診断で緊急脾臓摘出術が行われた。摘出脾臓の病理診断では，梗塞，膿瘍，感染性動脈瘤は認められず，びまん性に好中球浸潤が散見され，急性脾炎からの脾臓破裂と診断された。
Neuroimaging of rapid eye movement sleep behavior disorder and its relation to Parkinson's disease
Authors: Valli Mikaeel , Uribe Carme , Mihaescu Alexander , Strafella Antonio P. 
Published: July 2022

AbstractRapid eye movement (REM) sleep behavior disorder (RBD) is a parasomnia characterized by polysomnography‐confirmed REM sleep without atonia and dream‐enacting behaviors. This disorder is considered a prodromal syndrome of alpha‐synucleinopathies like Parkinson's disease (PD), where it affects more than 50% of PD patients. The underlying pathology of RBD has been generally understood to involve the pontine nuclei within the brainstem. However, the complete pathophysiology beyond the brainstem remains unclear as does its relationship with PD pathology. Therefore, this review aims to survey the neuroimaging literature involving PET, SPECT, and MR imaging techniques to provide an updated understanding of the neuro‐chemical, structural, and functional changes in both RBD and PD patients comorbid with RBD. This review found neuroimaging evidence that indicate alterations to the dopaminergic and cholinergic system, blood perfusion, and glucose metabolism in both RBD patients and PD patients with RBD. Beyond the brainstem, structural and functional changes were found to involve the nigrostriatal system, limbic system, and the cortex—suggesting that RBD is a multi‐systemic neurodegenerative process. Future investigations are encouraged to follow RBD patients longitudinally using multimodal imaging techniques to enhance our understanding of this parasomnia disorder. Uncovering which individuals are most likely to develop an alpha‐synuclein disorder in the prodromal phase will improve patient outcomes and potentially aid in the development of novel treatments for patients affected by RBD.
Interaction mechanism between cereal phenolic acids and gluten protein: protein structural changes and binding mode
Authors: Feng Yulin , Feng Xuejia , Liu Shuchang , Zhang Huijuan , Wang Jing 
Published: July 2022

AbstractBACKGROUNDPhenolic acids are antioxidant nutrients in cereals and affect the quality of wheat products and the properties of gluten protein. Gallic acid (GA), caffeic acid (CA), syringic acid (SA), and p‐coumaric acid (p‐CA) were selected to study the interaction mechanism between cereal phenolic acids and gluten protein.RESULTSThe results showed that adding GA significantly (P < 0.05) decreased the content of free sulfhydryl in gluten proteins by 70–87.26% compared with the control group. The aggregates’ behavior of gluten protein induced by adding the phenolic acids would produce oversized particles (>5000 nm). Adding the selected phenolic acids changed the hydrogen‐bond linkage of protein secondary structure. Zeta potential values of gluten protein increased significantly (P < 0.05) by 14.41%, 26.49%, 30.77%, and 57.93% for CA, p‐CA, GA, and SA respectively added at 0.03 g kg−1. Moreover, the gluten protein surface hydrophobicity increased when the phenolic acids were added at 0.03 g kg−1, displaying the effect of the phenolic acid on the hydrophobic interaction of protein. Molecular docking results showed that the selected phenolic acids could interact with glutenin and gliadin using hydrogen‐bond formation, and SA had the strongest binding with glutenin and gliadin.CONCLUSIONThe results demonstrated that the selected phenolic acids could interact with gluten protein via covalent cross‐linking as well as by hydrogen bonding, thereby changing the structure of the gluten protein. This exploration is expected to provide theoretical support for the development and utilization of whole‐grain foods. © 2022 Society of Chemical Industry.
Sparkle measurements for an automotive specification: Evaluation method for flexible setup conditions
Authors: Rotscholl Ingo , Schlipf Andreas , Rickers Christoph , Krüger Udo 
Published: July 2022

AbstractThis contribution proposes a sparkle evaluation based on a spatial frequency filter, taking into account various setup influences. Furthermore, the effect of flexible setup conditions on the reproducibility of measurement results is investigated. The procedure and concepts are derived for sampling resolutions between 15 and 30 cpx/mm with display pixel pitches between 183 and 224 ppi and validated by a round‐robin experiment with different test devices, including glass and foil‐based Anti‐Glare Layers. The findings serve as a basis for the measurement conditions of an automotive display sparkle measurement specification.
NIR‐Responsive Polyurethane Nanocomposites Based on PDA@FA Nanoparticles with Synergistic Antibacterial Effect
Authors: Zou Yuke , Yan Rui , Wang Haibo , Zhong Kai , Wang Shuang 
Published: July 2022

AbstractAt present, high‐performance antibacterial polymer materials have attracted widespread attention, possessing huge application prospects in the fields of medical and biological science, and packaging. In this work, polydopamine nanoparticles (PDA NPs) with photothermal ability and active sites are designed to adsorb fusidic acid (FA) molecules with targeted antibacterial capability; then, polydopamine@fusidic acid (PDA@FA) is introduced into the polyurethane (PU) to obtain multifunctional and antibacterial PU materials (PUDA@FA). The structures and morphologies of PDA NPs and PDA@FA are successfully characterized by Fourier transform‐infrared spectroscopy and scanning electron microscopy. With the introduction of PDA@FA, the nano‐sized reinforcement not only greatly improves the mechanical properties (tensile strength 19.31 MPa and toughness 10.6 MJ m−3) of PU film but also due to the photothermal effect of PDA NPs and the antibacterial of FA, the scavenging activities of DPPH and ABTS reach 70–85% and 55–70%, respectively. The antibacterial rate of Staphylococcus aureus reaches more than 99.9% and presents long‐term antibacterial ability. In this way, this work provides new guidance for the preparation of high‐performance PU materials with both antibacterial and anti‐oxidation properties, broadening the application scope of antibacterial materials.
Deep learning methods for enhancing cone‐beam CT image quality toward adaptive radiation therapy: A systematic review
Authors: Rusanov Branimir , Hassan Ghulam Mubashar , Reynolds Mark , Sabet Mahsheed , Kendrick Jake , Rowshanfarzad Pejman , Ebert Martin 
Published: July 2022

AbstractThe use of deep learning (DL) to improve cone‐beam CT (CBCT) image quality has gained popularity as computational resources and algorithmic sophistication have advanced in tandem. CBCT imaging has the potential to facilitate online adaptive radiation therapy (ART) by utilizing up‐to‐date patient anatomy to modify treatment parameters before irradiation. Poor CBCT image quality has been an impediment to realizing ART due to the increased scatter conditions inherent to cone‐beam acquisitions. Given the recent interest in DL applications in radiation oncology, and specifically DL for CBCT correction, we provide a systematic theoretical and literature review for future stakeholders. The review encompasses DL approaches for synthetic CT generation, as well as projection domain methods employed in the CBCT correction literature. We review trends pertaining to publications from January 2018 to April 2022 and condense their major findings—with emphasis on study design and DL techniques. Clinically relevant endpoints relating to image quality and dosimetric accuracy are summarized, highlighting gaps in the literature. Finally, we make recommendations for both clinicians and DL practitioners based on literature trends and the current DL state‐of‐the‐art methods utilized in radiation oncology.
Performance characteristics of code‐based algorithms to identify urinary tract infections in large United States administrative claims databases
Authors: Fortin Stephen P. , Swerdel Joel , Sarnecki Michal , Doua Joachim , Colasurdo Jamie , Geurtsen Jeroen 
Published: July 2022

AbstractBackgroundIn real‐world evidence research, reliability of coding in healthcare databases dictates the accuracy of code‐based algorithms in identifying conditions such as urinary tract infection (UTI). This study evaluates the performance characteristics of code‐based algorithms to identify UTI.MethodsRetrospective observational study of adults contained within three large U.S. administrative claims databases on or after January 1, 2010. A targeted literature review was performed to inform the development of 10 code‐based algorithms to identify UTIs consisting of combinations of diagnosis codes, antibiotic exposure for the treatment of UTIs, and/or ordering of a urinalysis or urine culture. For each database, a probabilistic gold standard was developed using PheValuator. The performance characteristics of each code‐based algorithm were assessed compared with the probabilistic gold standard.ResultsA total of 2 950 641, 1 831 405, and 2 294 929 patients meeting study criteria were identified in each database. Overall, the code‐based algorithm requiring a primary UTI diagnosis code achieved the highest positive predictive values (PPV; >93.8%) but the lowest sensitivities (<12.9%). Algorithms requiring three UTI diagnosis codes achieved similar PPV (>0.899%) and improved sensitivity (<41.6%). Algorithms requiring a single UTI diagnosis code in any position achieved the highest sensitivities (>72.1%) alongside a slight reduction in PPVs (<78.3%). All‐time prevalence estimates of UTI ranged from 21.6% to 48.6%.ConclusionsBased on these findings, we recommend use of algorithms requiring a single UTI diagnosis code, which achieved high sensitivity and PPV. In studies where PPV is critical, we recommend code‐based algorithms requiring three UTI diagnosis codes rather than a single primary UTI diagnosis code.