bluuebunny/crossref_metadata_2025_split huggingface dataset:
Documentation of pressure ulcers in medical records at an internal medicine ward in university hospital in western Sweden
Authors: Andersson Julia , Imberg Sara , Rosengren Kristina 
Published: October 2022

AbstractObjectivesPressure ulcers cause suffering, prolong care periods, and increase mortality. The aim was to describe and analyze the documentation of pressure ulcers and focused on the medical records from an internal medicine ward in a university hospital in western Sweden.MethodsA quantitative, retrospective review of medical records was conducted for all care events (n = 1,458) with descriptive statistics.ResultsDocumentation of the pressure ulcers in care plans was 2.1% (n = 31) compared to 6.7 % (n = 46) within final notes written by registered nurses (RN), a lower result compared to PPM (n = 3/14, 21.4%). Risk assessments were carried out in 68 (4.7%) care events, and 31 care plans included pressure ulcers. Moreover, 198 cases of tissue damage were documented, 43 (21.7%) defined as pressure ulcers, the other 147 (74.2%) lacked definition.ConclusionsDifferences (2.1%–21.4%) highlight improvements; knowledge and communication of pressure ulcers ensure reliable documentation in medical records.
Two‐dimensional joint inversion of electromagnetic soundings at low induction numbers and direct current resistivity
Authors: Huitzil Eliana Vargas , Flores Marco Antonio Pérez , Hernández Francisco J. Esparza , Delgado Sóstenes Méndez 
Published: October 2022

AbstractDirect current resistivity and electromagnetic methods at low induction numbers are commonly used to characterize near‐surface structures. Although both methods are related to the same property, resistivity or conductivity, they have different sensitivities. The electromagnetic method at low induction numbers is more sensitive to conductive structures, but faces problems resolving resistive bodies, whereas the direct current method can image conductive and resistive variations. Additionally, the electromagnetic method at low induction numbers is less expensive and faster to collect the data, which seems a promising way to provide information at a low cost to enhance the model robustness. Aside from that, the exploration depth in both methods is not the same, but they can complement each other. In this work, a joint inversion algorithm based on a linear approximation was developed to incorporate both data. To achieve the goal, we rewrite the linear integral equations of electromagnetic data at low induction numbers in terms of resistivity logarithm to overcome the differences in magnitude and incorporate both data sets. We explore the potential of the joint inversion testing the algorithm with two synthetic models. In our tests, the joint model improvements are mainly in the conductive geometry and show favourable influence compared to the individual models. Finally, we tested the algorithm with field data collected in the coastal aquifer at Maneadero Valley. Despite the high anthropogenic electromagnetic noise in the area, the joint inversion results are coherent with the individual inversions of electromagnetic soundings at low induction numbers and direct current resistivity along with the geological setting.
Towards more effective identification keys: A study of people identifying plant species characters
Authors: Wäldchen Jana , Wittich Hans Christian , Rzanny Michael , Fritz Alice , Mäder Patrick 
Published: October 2022

Abstract

Accurate species identification is essential for ecological monitoring and biodiversity conservation. Interactive plant identification keys have been considerably improved in recent years, mainly by providing iconic symbols, illustrations, or images for the users, as these keys are also commonly used by people with relatively little plant knowledge. Only a few studies have investigated how well morphological characteristics can be recognized and correctly identified by people, which is ultimately the basis of an identification key's success.

This study consists of a systematic evaluation of people's abilities in identifying plant‐specific morphological characters. We conducted an online survey where 484 participants were asked to identify 25 different plant character states on six images showing a plant from different perspectives.

We found that survey participants correctly identified 79% of the plant characters, with botanical novices with little or no previous experience in plant identification performing slightly worse than experienced botanists. We also found that flower characters are more often correctly identified than leaf characteristics and that characters with more states resulted in higher identification errors. Additionally, the longer the time a participant needed for answering, the higher the probability of a wrong answer.

Understanding what influences users' plant character identification abilities can improve the development of interactive identification keys, for example, by designing keys that adapt to novices as well as experts. Furthermore, our study can act as a blueprint for the empirical evaluation of identifications keys.

Read the free Plain Language Summary for this article on the Journal blog.
Detection of drug safety signal of drug‐induced neutropenia and agranulocytosis in all‐aged patients using electronic medical records
Authors: Sun Cuicui , Zhao Lixia , Yuan Yujie , Xiang Yanxiao , Liu Anchang 
Published: October 2022

AbstractPurposeWe explored the adverse drug reaction signals of drug‐induced neutropenia (DIN) and drug‐induced agranulocytosis (DIA) in hospitalized patients and evaluated the novelty of these correlations.MethodA two‐step method was established to identify the relationship between drugs and DIN or DIA using 5‐year electronic medical records (EMRs) obtained from 242 000 patients at Qilu Hospital of Shandong University. First, the drugs suspected to induce DIN or DIA were selected. The associations between suspected drugs and DIN or DIA were evaluated by a retrospective cohort study using unconditional logistic regression analysis and multiple linear regression model.ResultsTwelve suspected drugs (vancomycin, meropenem, voriconazole, acyclovir, ganciclovir, fluconazole, oseltamivir, linezolid, compound borax solution, palonosetron, polyene phosphatidylcholine, and sulfamethoxazole) were associated with DIN, and six suspected drugs (vancomycin, voriconazole, acyclovir, ganciclovir, fluconazole, and oseltamivir) were associated with DIA. The multivariate linear regression model revealed that nine drugs (vancomycin, meropenem, voriconazole, ganciclovir, fluconazole, oseltamivir, compound borax solution, palonosetron, and polyene phosphatidylcholine) and four drugs (vancomycin, voriconazole, ganciclovir, and fluconazole) were found to be associated with DIN and DIA, respectively. While logistic regression analysis revealed that palonosetron and ganciclovir were associated with DIN and DIA, respectively.ConclusionPalonosetron and ganciclovir were found to be correlated with drug‐induced granulocytopenia. The results of this study provide an early warning of drug safety signals for drug‐induced granulocytopenia, facilitating a quick and appropriate response for clinicians.
A sequence‐based foldability score combined with AlphaFold2 predictions to disentangle the protein order/disorder continuum
Authors: Bruley Apolline , Bitard‐Feildel Tristan , Callebaut Isabelle , Duprat Elodie 
Published: October 2022

AbstractOrder and disorder govern protein functions, but there is a great diversity in disorder, from regions that are—and stay—fully disordered to conditional order. This diversity is still difficult to decipher even though it is encoded in the amino acid sequences. Here, we developed an analytic Python package, named pyHCA, to estimate the foldability of a protein segment from the only information of its amino acid sequence and based on a measure of its density in regular secondary structures associated with hydrophobic clusters, as defined by the hydrophobic cluster analysis (HCA) approach. The tool was designed by optimizing the separation between foldable segments from databases of disorder (DisProt) and order (SCOPe [soluble domains] and OPM [transmembrane domains]). It allows to specify the ratio between order, embodied by regular secondary structures (either participating in the hydrophobic core of well‐folded 3D structures or conditionally formed in intrinsically disordered regions) and disorder. We illustrated the relevance of pyHCA with several examples and applied it to the sequences of the proteomes of 21 species ranging from prokaryotes and archaea to unicellular and multicellular eukaryotes, for which structure models are provided in the AlphaFold protein structure database. Cases of low‐confidence scores related to disorder were distinguished from those of sequences that we identified as foldable but are still excluded from accurate modeling by AlphaFold2 due to a lack of sequence homologs or to compositional biases. Overall, our approach is complementary to AlphaFold2, providing guides to map structural innovations through evolutionary processes, at proteome and gene scales.
Impact of volatility reduction agents on dicamba and glyphosate spray solutionpH, droplet dynamics, and weed control
Authors: Kouame Koffi Badou‐Jeremie , Butts Thomas R. , Werle Rodrigo , Johnson William G. 
Published: October 2022

AbstractBACKGROUNDRegulations in 2021 required the addition of a volatility reduction agent (VRA) to dicamba spray mixtures for postemergence weed control. Understanding the impact of VRAs on weed control, droplet dynamics, and spray pH is essential.RESULTSAdding glyphosate to dicamba decreased the solution pH by 0.63 to 1.85 units. Across locations, potassium carbonate increased the tank‐mixture pH by 0.85 to 1.65 units while potassium acetate raised the pH by 0.46 to 0.53 units. Glyphosate and dicamba in tank‐mixture reduced Palmer amaranth control by 14 percentage points compared to dicamba alone and decreased barnyardgrass control by 12 percentage points compared to glyphosate alone 4 weeks after application (WAA). VRAs resulted in a 5‐percentage point reduction in barnyardgrass control 4 WAA. Common ragweed, common lambsquarters, and giant ragweed control were unaffected by herbicide solution 4 WAA. Dicamba alone produced a larger average droplet size and had the fewest driftable fines (% volume < 200 μm). Potassium acetate produced a larger droplet size than potassium carbonate for Dv0.1and Dv0.5. The addition of glyphosate to dicamba decreased droplet size from the entire spray droplet spectrum (Dv0.1, Dv0.5, Dv0.9).CONCLUSIONA reduction in spray pH, droplet size, and weed control was observed from mixing dicamba and glyphosate. It may be advisable to avoid tank‐mixtures of these herbicides and instead, apply them sequentially to maximize effectiveness. VRAs differed in their impacts on spray solution pH and droplet dynamics, but resulted in a minimal negative to no impact on weed control. © 2022 The Authors.Pest Management Sciencepublished by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Time temperature indicators made with sublimating azulene derivatives as the functional dye for use of fast reaction rate
Authors: Shi Xiaoju , Ying Xiaofang , Deng Zongwu 
Published: October 2022

Time temperature indicators (TTIs) based on a dye sublimation process have been developed for full time monitoring of heat sensitive vaccines with shorter shelf‐life during cold chain transportation and storage. The structure of TTI and the methods to make the TTI are introduced. TTI 1 and TTI 2 introduced in the article were made with methyl azulene‐1‐carboxylate and methyl 3‐methylazulene‐1‐carboxylate as the functional dyes, respectively. The kinetic parameters of TTI 1 and TTI 2 were studied. To achieve a change of 30 in ∆E*ab, it takes 9.1 h at 37°C, 39.7 h at 25°C, 5.61 days at 15°C and 23.3 days at 5°C for TTI 1 and 37.2 h at 37°C, 128.8 h at 25°C, 37.5 days at 15°C and 102.5 days at 5°C for TTI 2. The activation energies (Ea) are calculated to be 91.87 kJ mol−1 and 97.99 kJ mol−1 for TTI 1 and TTI 2, respectively. A field simulation study was conducted on TTI 2 associated with bivalent oral polio vaccine (bOPV), yielding excellent correlation between the reaction rate of TTI 2 and the titre change of bOPV.
Bmpr2 mutant mice are an inadequate model for studying iron deficiency in pulmonary hypertension
Authors: Zhang Vida , Ganz Tomas , Nemeth Elizabeta , Umar Soban , Kim Airie 
Published: October 2022

AbstractAs bone morphogenetic protein receptor type II (Bmpr2) mutations are the most common genetic cause of pulmonary arterial hypertension (PAH), and iron deficiency (ID) is associated with worse clinical outcomes in PAH patients, we proposed to use Bmpr2 ± mice to induce a model of ID in pulmonary vascular disease. Our study shows that these transgenic mice are not a good model for this clinical phenomenon.
Bipartite Byzantine‐resilient event‐triggered consensus control of heterogeneous multi‐agent systems
Authors: Lu Xuhui , Jia Yingmin 
Published: October 2022

AbstractThis article studies the bipartite resilient event‐triggered consensus control for a class of the heterogeneous multi‐agent systems. Due to the external cyberattacks, some agents may become the Byzantine agents and will affect the behavior of the other agents. To improve the security of the multi‐agent systems against the Byzantine agents, a novel bipartite event‐triggered heterogeneous mean‐subsequence‐reduced algorithm is designed. First, to handle the heterogeneous multi‐agent systems, a state transformation is carefully designed, to facilitate the design and analysis of the bipartite resilient consensus algorithm. Based upon the designed state transformation, the bipartite resilient control inputs are constructed, where the structural balance analysis shows that the resulting effective signed graph and the equivalent signed graph are both structurally balanced, if the signed graph of the multi‐agent systems is structurally balanced. In addition, a dynamic event‐triggered mechanism is proposed, where a set of dynamic factors are introduced into the event‐triggered functions to prevent the usage of the global topology information. By virtue of the designed algorithm, it is guaranteed that the heterogeneous multi‐agent systems can achieve the bipartite consensus in the presence of the Byzantine agents, and the communication burden among the agents can be reduced. The numerical simulations are conducted to verify the effectiveness of the proposed algorithm.
Research on robotic manipulator fault detection and diagnosis technology based on machine vision in complex environments
Authors: Pan Jinghui , Qu Lili , Peng Kaixiang 
Published: October 2022

AbstractCurrently, machine vision‐based fault detection and diagnosis technology for robotic manipulators is widely used. However, traditional machine vision has difficulty identifying manipulator failure in complex environments with dim lighting and large texture differences and the influence of such factors as image motion blur caused by robotic manipulator movement. This article discusses the failure factors of mechanical manipulators and systematically analyzes various links leading to failure and the current technology limitations. First, a gradient‐based semantic segmentation method is proposed to extract targets quickly and accurately for the grasped object and complex surrounding environment. Second, when the vision and grasped object have relative movement in dim environment, a multiframe image registration and fusion method are proposed to obtain high‐quality, clear image data. Then, a machine‐based method is adopted to learn the fault detection and diagnosis methods that fuse internal and external sensors. Finally, a physical system is built to verify the three aspects of the target extraction effect: image clarity, fault detection speed, and diagnosis accuracy, reflecting the superiority of this algorithm.
Online translanguaging and multiliteracies strategies to support K‐12 multilingual learners: Identity texts, linguistic landscapes, and photovoice
Authors: Rajendram Shakina , Burton Jennifer , Wong Wales 
Published: October 2022

The COVID‐19 pandemic has given rise to the burgeoning of online, blended, and hybrid classrooms. The transition to virtual learning has been a challenge for many teachers and learners, but for multilingual learners (MLs) who have to navigate the virtual learning environment in a new language, online learning can be particularly difficult. Translanguaging (García et al., 2017) and multiliteracies (Cope & Kalantzis, 2015) theories call for teachers to support MLs by activating their prior knowledge, connecting to their lives, integrating their home languages and cultures, and engaging them in learning through multiple modalities. This theory‐based practice article discusses three pedagogical strategies based on translanguaging and multiliteracies theories which are designed for multilingual K‐12 classrooms with an online learning component: (1) digital identity texts, (2) linguistic landscapes, and (3) photovoice. The examples presented in the article were developed through the authors' collaborative and reflective engagement with each other, and drawn from their respective work with K‐12 MLs and the preservice teachers preparing to teach MLs in mainstream classrooms in Ontario, Canada. The authors offer suggestions for how the proposed translanguaging and multilingual strategies can challenge monolingual practices, develop critical language awareness, and expand students' diverse language and literacies practices.
Curcumin alleviates ketamine‐induced oxidative stress and apoptosis via Nrf2 signaling pathway in rats' cerebral cortex and hippocampus
Authors: Zhang Xintong , Cui Yuan , Song Xiaopeng , Jin Xiaodi , Sheng Xuanbo , Xu Xinyu , Li Ting , Chen Hong , Gao Li 
Published: October 2022

AbstractAimsTo investigate curcumin's protective effect on nerve damage caused by ketamine anesthesia via the Nrf2 signaling pathway. Rats and PC12 cells were used in this experiment to investigate the mechanism of nerve injury caused by ketamine anesthesia. Furthermore, our findings suggest that curcumin may affect oxidative stress and apoptosis by targeting the Nrf2 pathway, thereby alleviating the nerve injury caused by ketamine.MethodsThe rat cerebral cortex and hippocampus were stained with Nissl and immunohistochemistry to determine the number of neurons and the expression of Caspase‐3, Bcl‐2, and Bax. CCK‐8 assay was used to determine the optimal concentration of ketamine, curcumin, and H2O2 in PC12 cells. Flow cytometry was used to detect changes in reactive oxygen species and the rate of apoptosis in each group. To determine whether Nrf2 entered the nucleus, immunofluorescence was used. Both tissues and cells were subjected to RT‐PCR and Western blotting detection at the same time. The levels of oxidative stress were determined using a malondialdehyde (MDA) and superoxide dismutase (SOD) assay kit.ResultsKetamine reduced the number of neurons in the cortex and hippocampus of rats. The proteins Bax and Caspase‐3 were upregulated, while Bcl‐2 was down‐regulated in the cortex and hippocampus. The viability of PC12 cells has decreased. MDA content increased while SOD activity decreased in cortex, hippocampus, and PC12 cells. Ketamine had an effect on the expression of some genes in the Nrf2 signaling pathway as well as apoptosis. Curcumin pretreatment may be able to prevent ketamine‐induced damage.ConclusionsThe oxidative stress and apoptosis caused by ketamine during growth of the cerebral cortex, hippocampus, and PC12 cells may be decreased by curcumin's activation of the Nrf2 signaling pathway. Our research provides a potential strategy for the secure administration of anesthetics in medical settings.
A review of adverse events in animals and children after secondary exposure to transdermal hormone‐containing medicinal products
Authors: Sjöström Karin , Mount James , Klocker Anna‐Karin , Arthurson Veronica 
Published: October 2022

AbstractBackgroundHormonal replacement therapy is widely used to treat conditions in humans, the most well‐known indication being the relief of menopausal symptoms in women. Many of the hormone‐containing products (HCP) are applied to the skin. This transdermal delivery poses a risk to animals and humans through secondary exposure, especially when product information is not strictly followed. The aim of this article is to raise awareness among veterinarians and human healthcare providers of this risk; based on evidence from spontaneous reporting of suspected adverse events (AEs) in animals and humans. Interventions are also explored to mitigate the risk of secondary exposure to transdermal HCP (THCP).Review of spontaneously reported suspected AEsThe Swedish Medical Products Agency has received several, mainly serious, AE reports in animals and children following secondary exposure to THCPs. The AE reports were reviewed together with worldwide data from the EudraVigilance Veterinary database and human EudraVigilance Data Analysis System. The clinical signs reported in animals included persistent signs of oestrus, poor growth rate and birth defects. In humans, reported clinical signs included precocious puberty, unresolved virilisation, accelerated growth rate and female infertility.ConclusionsIt is important that THCP are used according to manufacturer's instructions and users are made aware of risks and mitigating measures. This review of AEs in animals and children provides evidence to show that the use of THCP poses a risk for secondary exposure. Efficient communication strategies that stretch across veterinary and human medicinal disciplines are required to raise mutual awareness and minimise the risk of AEs in animals and humans.
A rapid and simple spectroscopic method for the determination of yeast cell viability using methylene blue
Authors: Matsumoto Atsushi , Terashima Ichiro , Uesono Yukifumi 
Published: October 2022

AbstractDetermination of cell viability is important in various microbiological studies. The microscopic method, counting dead cells stained by methylene blue (MB), has often been used for the determination of viability, although it is not efficient for the measurement of a large number of samples. Alternatively, some spectroscopic methods have been proposed to avoid tedious cell counting. One of these proposed methods detects the decrease in MB absorbance in the supernatant of cell suspension, because dead cells incorporate MB more efficiently than viable cells. However, at present, this spectroscopic method is rarely used due to its low throughput. Therefore, we devised a small‐scale, rapid and simple method by improving several points as follows. (1) The peak wavelength of MB absorbance, 665 nm, was used to detect MB efficiently at the microtube scale. (2) The composition of the MB solution was improved by adding trisodium citrate. (3) The reaction time was shortened. And (4) the concentration ranges of both MB and cells, with which absorbance is linearly related to cell viability, were determined. The improved method enabled us to evaluate the dose‐dependent toxicities of alcohols, antifungal/antimalarial quinacrine, and UV‐C irradiation. The results were compatible with those of conventional microscopic counting and colony formation. The method would be applicable to automated determination and to various organisms such as bacteria and filamentous fungi which are difficult to be counted microscopically.