bluuebunny/crossref_metadata_2025 huggingface dataset:
Recognition of the unique bleeding pattern and laboratory findings in acquired haemophilia A facilitates prompt treatment of a life-threatening disorder
Authors: Cameron Hunter , Perez Botero Juliana
Published: August 2021

Acquired haemophilia A (AHA) is an uncommon but severe acquired bleeding disorder caused by the development of antibodies against clotting factor VIII, impairing secondary haemostasis. It is more common in older individuals and characteristically presents with spontaneous soft tissue bleeding that can rapidly become life-threatening. Definitive treatment requires immunosuppression to eradicate anti-FVIII antibodies, while providing haemostatic support to manage bleeding. Transfusions of fresh frozen plasma or cryoprecipitate, typically used to treat severe bleeding, are ineffective in patients with AHA. Instead, highly specialised clotting factor concentrates are required. While the appearance and extent of the soft tissue bleeding and the markedly prolonged activated partial thromboplastin time are characteristic, lack of familiarity with this disease process can lead to significant treatment delays. We report the clinical course and management of a 65-year-old woman who presented with severe anaemia of unclear aetiology with unrecognised soft tissue bleeding who was subsequently diagnosed with AHA.
COVID-19-associated ischaemic stroke due to underlying carotid artery thrombosis in a healthy young woman
Authors: Lau Kelly , White-Gittens Irwin , Schor Jonathan , Guerges Mina
Published: August 2021

SARS-CoV-2 has proven its versatility in host presentations; one such presentation is a hypercoagulable state causing large-vessel thrombosis. We report a case on a previously asymptomatic COVID-19-positive patient presenting with an acute ischaemic stroke and an incidental left internal carotid artery thrombus. The patient’s medical, social and family history and hypercoagulability screening excluded any other explanation for the left carotid thrombus or stroke, except for testing positive for the COVID-19. This case explores the known hypercoagulable state associated with COVID-19 and the effect of the virus on the host’s immune response. It also questions whether administration of recombinant tissue plasminogen activator (t-PA), according to the American Heart Association guidelines, following a negative head CT for haemorrhagic stroke is safe without prior extended imaging in this patient population. We recommend, in addition to obtaining a non-contrast CT scan of the brain, a CT angiogram or carotid duplex of the neck be obtained routinely in patients with COVID-19 exhibiting stroke symptoms before t-PA administration as the effects may be detrimental. This recommendation will likely prevent fragmentation and embolisation of an undetected carotid thrombus.
Analysis of primary care prescription trends in England during the COVID-19 pandemic compared against a predictive model
Authors: Frazer John Scott , Frazer Glenn Ross
Published: August 2021

Objectives

The COVID-19 pandemic has had an unprecedented impact across primary care. Primary care services have seen an upheaval, and more and more patients are engaging in telephone consultations in order to maintain social distancing. In the present study, we seek to quantify the effect of the pandemic on primary care prescribing.

Design

We conducted a retrospective analysis of the English Prescribing Dataset from January 2014 to November 2020, totalling 7 542 293 921 prescriptions. Data were separated into prepandemic and pandemic sets. A Holt-Winters predictive model was used to forecast individual drug prescribing based on historic trends. Observed data were compared with the forecast quantitatively and qualitatively.

Setting

All prescriptions signed in England and dispensed during the years 2014–2020.

Participants

All residents of England who received a prescription from primary care facilities during 2014–2020.

Results

Prescribing of numerous health-critical medications was above predicted in March 2020, including salbutamol (53.0% (99% CI (41.2% to 66.9%))), insulin aspart (26.9% (99% CI (18.5% to 36.6%))) and tacrolimus (18.6% (99% CI (8.3% to 31.1%))). Medications for end-of-life symptom control increased in April, including levomepromazine hydrochloride (94.7% (99% CI (54.6% to 163.0%))). Medications requiring face-to-face visits decreased, including the local anaesthetic bupivacaine hydrochloride (86.6% (99% CI (89.3% to 82.0%))). There was no observed change in medications relating to type 2 diabetes, hypertension or mental health conditions.

Conclusions

Significantly increased prescribing of several medications was observed, especially among those critical for health. A dramatic spike in end-of-life prescribing highlights the adversity faced by community practitioners during 2020. Medications involving face-to-face consultations declined, as did contraceptives, travel-related vaccines and drugs used in dementia and Parkinson’s disease. Drugs relating to type 2 diabetes, hypertension and mental health were unchanged.
Enhanced polarization-independent two-layer five-port grating with covering layer
Authors: Gong Bowen , Wen Huiying
Published: August 2021

In this paper, an enhanced polarization-independent two-layer five-port grating with covering layer is proposed. The rigorous coupled-wave analysis (RCWA) is used to predict grating parameters. In addition, the total efficiency of the polarization-independent five-port grating with covering layer can exceed 80% with the good uniformity of 1.97% for TE and TM polarization. The inherent coupling mechanism and the electric field energy distribution of the gratings are explained well under TE and TM polarization by the simplified mode method (SMM) and the finite element method (FEM). According to the reported five-port gratings, the proposed transmission five-port grating with a covering layer has good uniformity for TE and TM polarization. Moreover, the grating can be protected and the groove of the grating can be kept clean by adding a covering layer during the actual fabrication. At the same time, the fabrication errors of the two-layer five-port diffraction grating are further considered. Therefore, the numerically simulated five-port grating with covering layer has a wide application prospect in precision displacement measurement and holographic projection imaging.
On a Riemann–Hilbert problem for the NLS-MB equations
Authors: Liu Leilei , Zhang Weiguo , Xu Jian
Published: August 2021

In this paper, we study a coupled system of the nonlinear Schrödinger (NLS) equation and the Maxwell–Bloch (MB) equation with nonzero boundary conditions by Riemann–Hilbert (RH) method. We obtain the formulae of the simple-pole and the multi-pole solutions via a matrix Riemann–Hilbert problem (RHP). The explicit form of the soliton solutions for the NLS-MB equations is obtained. The soliton interaction is also given. Furthermore, we show that the multi-pole solutions can be viewed as some proper limits of the soliton solutions with simple poles, and the multi-pole solutions constitute a novel analytical viewpoint in nonlinear complex phenomena. The advantage of this way is that it avoids solving the complex symmetric relations and repeatedly solving residue conditions.
High-order breathers and semi-rational solutions of the (2+1)-dimensional Yu–Toda–Sasa–Fukuyama equation
Authors: Zheng Mengqi , Li Maohua
Published: August 2021

In this paper, based on the Hirota bilinear method, the high-order breathers and interaction solutions between solitons and breathers of the (2+1)-dimensional Yu–Toda–Sasa–Fukuyama equation are investigated. The lump and semi-rational solutions are obtained by applying the long wave limit of the [Formula: see text]-soliton solution. Two types of semi-rational solutions are derived by choosing specific parameters, which are the mixture of the lump solution and solitons, and the mixture of the lump solution and breathers. Furthermore, the time evolution diagram illustrate the dynamic behavior of these solutions.
The Type VII Secretion System ofStaphylococcus
Authors: Bowman Lisa , Palmer Tracy
Published: August 2021

The type VII protein secretion system (T7SS) of Staphylococcus aureus is encoded at the ess locus. T7 substrate recognition and protein transport are mediated by EssC, a membrane-bound multidomain ATPase. Four EssC sequence variants have been identified across S. aureus strains, each accompanied by a specific suite of substrate proteins. The ess genes are upregulated during persistent infection, and the secretion system contributes to virulence in disease models. It also plays a key role in intraspecies competition, secreting nuclease and membrane-depolarizing toxins that inhibit the growth of strains lacking neutralizing immunity proteins. A genomic survey indicates that the T7SS is widely conserved across staphylococci and is encoded in clusters that contain diverse arrays of toxin and immunity genes. The presence of genomic islands encoding multiple immunity proteins in species such as Staphylococcus warneri that lack the T7SS points to a major role for the secretion system in bacterial antagonism.
Microbial Rhodopsins: The Last Two Decades
Authors: Rozenberg Andrey , Inoue Keiichi , Kandori Hideki , Béjà Oded
Published: August 2021

Microbial rhodopsins are diverse photoreceptive proteins containing a retinal chromophore and are found in all domains of cellular life and are even encoded in genomes of viruses. These rhodopsins make up two families: type 1 rhodopsins and the recently discovered heliorhodopsins. These families have seven transmembrane helices with similar structures but opposing membrane orientation. Microbial rhodopsins participate in a portfolio of light-driven energy and sensory transduction processes. In this review we present data collected over the last two decades about these rhodopsins and describe their diversity, functions, and biological and ecological roles.
Dependence of Warm Season Cloud-to-Ground Lightning Polarity on Environmental Conditions over Sichuan, Southwest China
Authors: Zhao Pengguo , Xiao Hui , Liu Chang , Zhou Yunjun
Published: August 2021

The effects of thermodynamic and moisture factors on cloud-to-ground (CG) lightning polarity in the warm season were discussed. Small convective available potential energy (CAPE) represents relatively shallow convection, which is beneficial to the generation of positive lightning. Large vertical wind shear results in the displacement of upper-level positive ice crystals and promotes the initiation of +CG lightning from positive ice crystals. The dry low- to midlevel troposphere and the high cloud base in the plateau region favor +CG lightning, while the strong thermodynamic conditions in the basin region offset the influence of these moisture factors. In the plateau region, due to the limited cloud thickness, high total column liquid water may mean high cloud water content in the warm cloud region rather than high liquid water content in the mixed-phase region, which is unfavorable for the middle-level positive graupel and thus is unfavorable for the initiation of +CG lightning. In the basin region, the cloud thickness is relatively thicker, the high total column liquid water means that the liquid water content in the warm cloud and the mixed-phase region is both high, which is conducive to the middle-level positive graupel and the +CG lightning.
Value of Magnetic Resonance Diffusion Tensor Imaging Combined with Quantitative Electroencephalogram in Diagnosis of Neurocognitive Impairment in Patients with White Matter Demyelination
Authors: Li Jun , Li Hongtao , Ma Yun , Cai Xiaowei , Zhong Yinjie , Song Chunjie
Published: August 2021

This paper aimed to explore the clinical value of combined adoption of magnetic resonance diffusion tensor imaging (DTI) and quantitative electroencephalogram (QEEG) in assessing microstructure changes and mild neurocognitive dysfunction in patients with white matter demyelination. 128 cases of white matter demyelination admitted to the hospital from October 2018 to October 2019 were rolled into the research group, and 100 healthy patients physically examined during the same period were rolled into the control (ctrl) group. QEEG and magnetic resonance DTI examinations were performed for all patients. The wave power of δ, θ, α, and β and the ratio of α/θ and (δ + θ)/(α + β) were recorded. The FA values of white matter fibers in different brain areas were measured, and the Montreal Cognitive Assessment (MoCA) and Addenbrooke Cognitive Evaluation rating (ACE-R) were adopted to assess the neurocognitive function of patients. It was found that the dominant frequency of each brain area in the research group was 8-9 Hz slow α wave. In contrast with the ctrl, the α wave and α/θ values in the research group were lower, while θ wave and δ + θ/α + β values were higher (

P
<
0.05

); the scores of ACE-R and MoCA were lower (

P
<
0.01

); the fractional anisotropy (FA) values of the right frontal lobe white matter (0.335 ± 0.068), the left temporal lobe white matter (0.391 ± 0.032), and the corpus callosum knee white matter (0.658 ± 0.053) were lower (

P
<
0.05

). The FA values of these three areas were positively correlated with attention and calculation, memory, and memory of MoCA scale, respectively (

P
<
0.05

). The FA value of the right frontal white matter was positively correlated with the attention and calculation score of the ACE-R scale (

P
<
0.05

). In conclusion, magnetic resonance DTI combined with QEEG could reflect the microstructural changes of white matter, which may be associated with mild neurocognitive impairment. The primary objective of the study was to explore the clinical value of combined adoption of magnetic resonance DTI and QEEG in assessing microstructure changes and mild neurocognitive dysfunction in patients with white matter demyelination, expected to provide a theoretical basis for the treatment of white matter demyelination.
Implementing PSO‐ELM Model to Approximate Trolox Equivalent Antioxidant Capacity as One of the Most Important Biological Properties of Food
Authors: Elveny Marischa , Akhmadeev Ravil , Dinari Mina , Abdelbasset Walid Kamal , Bokov Dmitry O. , Jafari Mohammad Mahdi Molla
Published: August 2021

In this paper, the Trolox equivalent antioxidant capacity (TEAC) is estimated through a robust machine‐learning algorithm known as the Particle Swarm Optimization‐based Extreme Learning Machine (PSO‐ELM) model. For this purpose, a large dataset from previously published reports was gathered. Various analyses were performed to evaluate the proposed model. The results of the statistical analysis showed that this model can predict the actual values with high accuracy, so that the calculated R2 and RMSE values were equal to 0.973 and 3.56, respectively. Sensitivity analysis was also performed on the effective input parameters. The leverage technique was also performed to check the accuracy of real data, and the results showed that the majority of data are reliable. This simple yet accurate model can be very powerful in predicting the Trolox equivalent antioxidant capacity values and can be a good alternative to laboratory data.
Jurassic Terrestrial Shale Gas Potential of the Northern Kashi Sag in the Tarim Basin, Northwestern China
Authors: Wu Wei , Liao Zhiwei , Chen Honghan , Li Shaohu , Su Ao , Hussain Irshad , Zhao Niubin
Published: August 2021

Evaluation of terrestrial shale gas resource potential is a hot issue in unconventional oil and gas exploration. Organic-rich shales are widely developed in the Jurassic strata of Tarim Basin, but their shale gas potential has not been described well. In the study, the Lower-Middle Jurassic fine-grained sedimentary rocks (Kangsu and Yangye Formations) in northern Kashi Sag, northwestern Tarim Basin, were taken as the study object. The comprehensive studies include petrology, mineralogy, organic geochemistry, and physical properties, which were used to characterize the organic matter and reservoir characteristics. Results show that the Jurassic terrestrial shale in the northern Kashi Sag was mainly deposited in lakes, rivers, and deltas. The thickness of black lacustrine shale developed in the Early-Middle Jurassic in the study area is generally over 100 m. The total organic carbon (TOC) content is rich, averaging 2.77%. The vitrinite reflectance (

R

o

) values indicate that the Lower Jurassic shale organic matter is in the early mature–mature stage, while the Middle Jurassic is in the mature stage. Besides, organic matter is primarily II and III in kerogen types. The whole shale contains a large number of clay minerals, especially illite. The average brittle minerals such as quartz and feldspar are 28.67%, and the average brittleness index is 38.63%. Nanoscale pores containing intergranular pores, dissolution pores, and organic pores, coupled with microcracks, are well developed in Jurassic shale. The sample’s average pore volume is 0.017 cm3/g, and the specific surface area is 9.36 m2/g. Mesoporous contribute the most to pore volume, while the number of microporous is the largest. Both of them provide most of the surface area for the shale. Combined with regional geologic settings, we propose that the Jurassic terrestrial shale has good-excellent shale gas exploration potential and development prospects.
Exploring the Pharmacological Mechanism of Liuwei Dihuang Decoction for Diabetic Retinopathy: A Systematic Biological Strategy-Based Research
Authors: Yuan Mengxia , He Qi , Long Zhiyong , Zhu Xiaofei , Xiang Wang , Wu Yonghe , Lin Shibin
Published: August 2021

Objective. To explore the pharmacological mechanism of Liuwei Dihuang decoction (LDD) for diabetic retinopathy (DR). Methods. The potential targets of LDD were predicted by PharmMapper. GeneCards and other databases were used to collect DR genes. Cytoscape was used to construct and analyze network DR and LDD’s network, and DAVID was used for Gene Ontology (GO) and pathway enrichment analysis. Finally, animal experiments were carried out to verify the results of systematic pharmacology. Results. Five networks were constructed and analyzed: (1) diabetic retinopathy genes’ PPI network; (2) compound-compound target network of LDD; (3) LDD-DR PPI network; (4) compound-known target network of LDD; (5) LDD known target-DR PPI network. Several DR and treatment-related targets, clusters, signaling pathways, and biological processes were found. Animal experiments found that LDD can improve the histopathological changes of the retina. LDD can also increase erythrocyte filtration rate and decrease the platelet adhesion rate (

P
<
0.05

) and decrease MDA and TXB2 (

P
<
0.05

). Compared with the model group, the retinal VEGF and HIF-1α expression in the LDD group decreased significantly (

P
<
0.05

). Conclusion. The therapeutic effect of LDD on DR may be achieved by interfering with the biological processes (such as response to insulin, glucose homeostasis, and regulation of angiogenesis) and signaling pathways (such as insulin, VEGF, HIF-1, and ErbB signaling pathway) related to the development of DR that was found in this research.
An Overview of Computational Models for Industrial Internet of Things to Enhance Usability
Authors: Ying Zhen , Ahmad Iftikhar , Mateen Saima , Zia Asad , Ambreen  , Nazir Shah , Mukhtar Neelam
Published: August 2021

In the last decade, the Internet of Things (IoT) has grown to connect a large number of smart entities, devices, and components. These connected entities provide a wide range of services to improve the current society of end customers. The Industrial Internet of Things (IIoTs) are revolutionary systems that have linked manufacturing processes with Internet access in order to preciously increase quality of services. These systems have minimized the costs of production through collaboration with electronic objects, accumulating computing, advanced analytics, and smart perception techniques. A demanding analysis of the strengths and limitations of computational models of IIoT is an essential part of the industry and before deciding which approach to use and implement for enhancing usability. Therefore, the goal of this study is to provide feedback and information to the research community and identify patterns in recommendations for future research in the context of process, development, and monitoring of additional technologies of computational models for IIoT. This paper has presented a comprehensive summary of the existing literature on IIoT for providing details about modern industrial revolutions in the context of IIoT. Associated materials were searched and filtered for identification of relevant materials to the proposed study. These materials have been collectively studied with in‐depth analysis and then summarized to condense the information of computation models for the readers as well as entrepreneurs. The study will facilitate research community and practitioners to develop novel techniques, algorithms, and tools to automate and facilitate IIoT. This will develop the field of IIoT and will enhance its usability.
A Service-Oriented Component-Based Framework for Dynamic Reconfiguration Modeling Targeting SystemC/TLM
Authors: Allem Khaled , Bourennane El-Bay , Khelfaoui Youcef
Published: August 2021

To deal with the complex design issues of Dynamically Reconfigurable Systems-on-Chip (DRSoCs), it is extremely relevant to raise the abstraction level in which models are expressed. A high abstraction level allows great flexibility and reusability while bypassing low-level implementation details. In this context, model-driven engineering (MDE) provides support to build and transform precise and structured models for a particular purpose at different levels of abstraction. Indeed, high-level models are successively refined to low-level models until reaching the executable ones. Thus, this paper presents an MDE-based framework for DRSoCs design enabling the transformation of UML/MARTE specifications to SystemC/TLM implementation. To achieve a high degree of expressiveness for modeling dynamic reconfiguration, we use a suitable software engineering approach based on service-oriented component architecture. Since MARTE does not cover the common features of dynamic reconfiguration domain and service orientation concepts, new stereotypes are created by refinement to add missing capabilities to the profile. Likewise, SystemC does not provide native support for dynamic reconfiguration, thus leading us to adopt a design pattern based solution for DRSoCs implementation in compliance with standards. The proposed framework is validated through a reconfigurable active 3-way crossover case study in which we demonstrate the practicability of the approach by gradual model transformations with reduced implementation effort and significant design productivity gain.
Ontology‐Based Smart System to Automate Higher Education Activities
Authors: Alrehaili Nada Abdullah , Aslam Muhammad Ahtisham , Alahmadi Dimah Hussein , Alrehaili Dina Abdullah , Asif Muhammad , Arshad Malik Muhammad Sheraz
Published: August 2021

The need for smart e‐learning environments is resulting in new challenges for researchers and practitioners to develop intelligent systems that can be used to automate the Higher Education (HE) activities in an intelligent way. Some common examples of such activities are “analyzing, finding, and ranking the right resource to teach a course,” “analyzing and finding the people with common research interests to start joint research projects,” and “using data analytics and machine reasoning techniques for conducting the exams with different levels of complexities.” Ontological reasoning and smart data analytics can play an important role in analyzing and automating these HE activities and processes. In this paper, we present a framework named as Higher Education Activities and Processes Automation Framework (HEAPAF). The HEAPAF framework can be used to identify, extract, process, and produce the semantically enriched data in machine understandable format from different educational resources. We also present the Higher Education Ontology (HEO) that we designed and developed to accommodate the HE data and then to perform analysis and reasoning on it. As a proof of concept, we present a case study on the topic, “analyzing, finding, and ranking the right resources to teach a course,” which can dramatically improve the learning patterns of students in the growing smart educational environment. Finally, we provide the evaluation of our framework as evidence of its competency and consistency in improving academic analytics for educational activities and processes by using machine reasoning.
Ascorbic Acid and Polyphenols Mediated Green Synthesis of Silver Nanoparticles from Tagetes erecta L. Aqueous Leaf Extract and Studied Their Antioxidant Properties
Authors: Tyagi Pankaj Kumar , Tyagi Shruti , Gola Deepak , Arya Arvind , Ayatollahi Seyed Abdulmajid , Alshehri Mohammed M. , Sharifi-Rad Javad
Published: August 2021

Silver nanoparticle synthesis of the leaf extract Tagetes erecta L. enriched with ascorbic acid and polyphenols has been investigated. The color of the golden yellow extract has changed to pinkish-brown due to the reduction of Ag+ to the colloidal solution of AgNPs and a sharp absorption peak at 420 nm under the UV-Vis spectrophotometer. In addition, the Fourier Transfer Infrared Spectroscopy (FTIR) estimation was completed in order to recognize and identify the biomolecules present in the extract acting as a reducing and capping agent for the AgNPs. The X-ray diffraction (XRD) peaks at (111), (201), (220), and (311) confirm the presence of monoclinic crystals in the solution. The morphology and size of the particles were provided by transmission electron microscopy (TEM) images of AgNPs. At a scale of 100 nm, synthesized AgNPs were predominantly spherical with a size range of 7-35 nm. In comparison to 7.39 mg/100 g in AgNPs, aqueous leaf extract was 55.14 mg/100 g higher in ascorbic acid. The phenolic and flavonoid content of extract was

52.54
±
2.15

 mg (GAE/100 g) and

15.43
±
0.34

 mg (QE/mL), and the colloidal AgNP solution was

21.45
±
1.15

 mg (GAE/100 g) and

8.05
±
2.42

 mg (QE/mL), respectively. Phenolic and flavonoid contents play a major role as a reducing agent and reduce the precursor AgNO3 into AgNPs. The DPPH scavenging assay also assessed the antioxidant properties of extract and its derived AgNPs. As compared antioxidant value to aqueous leaf extract (mg/mL), higher percentage inhibition (PI) was found in AgNPs and free-radical scavenging activity of extract and AgNPs were directly linked to their concentrations. Results of this research have discovered a higher potential for free-radical scavenging AgNPs and will help to develop new and more potent antioxidants for the treatment of different diseases caused by oxidative stress; the higher antioxidant properties bearing AgNPs might be used.
Experimental Study on Physical and Dynamic Mechanical Properties of Temperature‐Water Coupled Sandstone
Authors: Ping Qi , Qi Dezhi , Diao Qi , Zhang Chuanliang , Gao Qi , Wu Yulin
Published: August 2021

In order to study the influence characteristics of water bath at different temperatures on rock physical and dynamic mechanical properties, a total of 15 groups of temperature‐water bath treatment were carried out on coal mine roadway sandstone at 25°C∼95°C, and the basic physical parameters were tested. The impact compression test was carried out using the split Hopkinson pressure bar (SHPB) device. The results show that, with the increase of water bath temperature, the particle gap on the specimen surface increases. The volume, mass, and density of the specimens all increased with the increase of water bath temperature, and the increase was closely related to the water bath temperature. The dynamic compressive strength increases as a quadratic function of the water bath temperature, and the rate of increase is different before and after 45°C. The dynamic peak strain and average strain rate showed a quadratic function with the water bath temperature. The dynamic peak strain before 45°C decreased with the temperature increasing, and the dynamic peak strain after 45°C increased with the temperature increasing. The dynamic elastic modulus increased first and then decreased with the increase of water bath temperature and reached the maximum at 45°C. The failure pattern of sandstone is spalling. With the increase of water bath temperature, the fracture degree of the specimen gradually decreases.
Indoor Positioning System in Learning Approach Experiments
Authors: Abidin Dodo Zaenal , Nurmaini Siti , Erwin  , Rasywir Errissya , Pratama Yovi
Published: August 2021

The positioning system research strongly supports the development of location-based services used by related business organizations. However, location-based services with user experience still have many obstacles to overcome, including how to maintain a high level of position accuracy. From the literature studies reviewed, it is necessary to develop an indoor positioning system using fingerprinting based on Received Signal Strength (RSS). So far, the testing of the indoor positioning system has been carried out with an algorithm. But, in this research, with the proposed parameters, we will conduct experiments with a learning approach. The data tested is the signal service data on the device in the Dinamika Bangsa University building. The test was conducted with a deep learning approach using a deep neural network (DNN) algorithm. The DNN method can estimate the actual space and get better position results, whereas machine learning methods such as the DNN algorithm can handle more effectively large data and produce more accurate data. From the results of comparative testing with the learning approach between DNN, KNN, and SVM, it can be concluded that the evaluation with KNN is slightly better than the use of DNN in a single case. However, the results of KNN have low consistency; this is seen from the fluctuations in the movements of the R2 score and MSE values produced. Meanwhile, DNN gives a consistent value even though it has varied hidden layers. The Support Vector Machine (SVM) gives the worst value of these experiments, although, in the past, SVM was known as one of the favorite methods.
Lane-Changing Behavior Prediction Based on Game Theory and Deep Learning
Authors: Jia Shuo , Hui Fei , Wei Cheng , Zhao Xiangmo , Liu Jianbei
Published: August 2021

Lane changing is an important scenario in traffic environments, and accurate prediction of lane-changing behavior is essential to ensure traffic and driver safety. To achieve this goal, a vehicle lane-changing prediction model based on game theory and deep learning is developed. In the game theory component, the interaction between vehicles during lane changing is analyzed according to the running state of the vehicle, with the probability of lane changing as its output. For the deep-learning component, long short-term memory and a convolutional neural network are used to extract and learn data features during the lane-changing process as well as combine the output of the game theory component to obtain the prediction result of whether the vehicle will change lanes. By using an open-source traffic dataset to train and verify the proposed model, the verification results show that the prediction accuracy can reach 94.56% within 0.4 s of lane-changing operation and that the model can achieve timely and accurate prediction of the lane-changing behavior of vehicles.
Endoplasmic Reticulum Stress in Diabetic Nephrology: Regulation, Pathological Role, and Therapeutic Potential
Authors: Ni Lihua , Yuan Cheng , Wu Xiaoyan
Published: August 2021

Recent progress has been made in understanding the roles and mechanisms of endoplasmic reticulum (ER) stress in the development and pathogenesis of diabetic nephropathy (DN). Hyperglycemia induces ER stress and apoptosis in renal cells. The induction of ER stress can be cytoprotective or cytotoxic. Experimental treatment of animals with ER stress inhibitors alleviated renal damage. Considering these findings, the normalization of ER stress by pharmacological agents is a promising approach to prevent or arrest DN progression. The current article reviews the mechanisms, roles, and therapeutic aspects of these findings.
Evaluation of Different Rates of NPS on Growth and Yield Performances of Garlic (Allium sativum L.) in Cheha District, Gurage Zone, Ethiopia
Authors: Gashaw Bewuket
Published: August 2021

A field experiment was conducted on 2019 growing season to evaluate effects of different rates of nitrogen, phosphorus, and sulfur on growth and yield of garlic under supplemental irrigation. A local variety, Tuma, was used and treated with six rates of NPS (T1 (0 : 0 : 0 kg/ha NPS) (control), T2 (19 : 38 : 7 kg/ha NPS), T3 (28.5 : 57 : 10.5 kg/ha NPS), T4 (47.5 : 76 : 14 kg/ha NPS), T5 (47.5 : 95 : 17.5 kg/ha NPS), and T6 (57 : 114 : 21 kg/ha NPS)). The experiment was laid out in randomized complete block design and replicated three times. Data were collected for days to 50% emergence, plant height, leaf number, leaf length, bulb weight, and total bulb yield. SAS version 9.2 was used to analyze the data. Means were separated using Fisher’s test at 5% level of significance. All parameters were significantly

P
<
0.05

affected by the rates of NPS. The early days to 50% emergence (16) was recorded from T6 (57 : 114 : 21 kg/ha NPS), whereas the late days to 50% emergence was recorded from the control treatment (T1). Significantly highest leaf length (41.51 cm), leaf number (13.63), plant height (61.19 cm), bulb weight (39.44 g), and total bulb yield (14.91 ton ha−1) were recorded from T6 (57 : 114 : 21 kg/ha NPS). Therefore, from the result of this study, it can be concluded that the maximum total bulb yield of garlic was obtained with the application of 57 : 114 : 21 kg/ha NPS rate.
Wavelet Bilateral Filter Algorithm-Based High-Frequency Ultrasound Image Analysis on Effects of Skin Scar Repair
Authors: Xuan Zhidong , Liu Haixia , Li Chao , Liu Yongrong
Published: August 2021

It aimed to explore the application value of high-frequency ultrasound image based on the wavelet bilateral filtering algorithm in the repair evaluation of hypertrophic scar and keloid, as well as the expression change of nerve growth factor (NGF). 72 patients with scars admitted to hospital from October 2018 to October 2019 were chosen and classified as hypertrophic scar patients (group A) and keloid patients (group B), with 36 cases in each group. All patients received scar repair treatment, and another 30 normal skin volunteers (group C) were selected. High-frequency ultrasound images based on the wavelet bilateral filter algorithm were utilized for skin examination. The expression differences of NGF and pro-NGF in each group were measured by immunohistochemical staining and Western blot. The results showed that the denoising effect (signal-to-noise ratio (PSNR) = 33.2762), structural similarity (SSIM = 0.8963), and edge similarity (FoM = 0.2975) of the proposed algorithm were better than those of bilateral filtering and wavelet soft-threshold algorithms. The skin thickness of groups A and B was considerably higher relative to that of group C (

P

 < 0.05), but the echo intensity of the skin dermis of groups A and B was evidently inferior to that of group C (

P

 < 0.05). The results of immunohistochemistry showed that in contrast to group C, the average optical density of NGF in groups A and B increased remarkably (

P

 < 0.01). In contrast to group C, the positive expression of pro-NGF in groups A and B was notably reduced (

P

 < 0.05). Western blot results showed that relative to group C, the expression of NGF protein in groups A and B was increased greatly (

P

 < 0.01), but the expression of pro-NGF protein in groups A and B was reduced (

P

 < 0.01). The results suggested that the wavelet bilateral filter algorithm can be adopted to evaluate pathological skin scars, and pathological skin scar formation was closely related to the expression levels of NGF and pro-NGF.
Consolidating Radiotherapy with Immunotherapy
Authors: Rodriguez-Ruiz Maria E. , Sanmamed Miguel F. , Serrano-Mendioroz Irantzu , Melero Ignacio
Published: August 2021

Radiotherapy and immunotherapy can be concomitantly or sequentially combined seeking synergistic effects in terms of control of irradiated tumors and abscopal effects on nonirradiated lesions. Clinical-trial testing of such combinations faces several obstacles to demonstrate efficacy and needs improvements in trial design, patient selection, evaluation of results and biomarker discovery.

See related article by Foster et al., p. 5510
Lifestyle Intervention for Overweight/Obese Pregnant Women with Polycystic Ovarian Syndrome: Lessons and Challenges
Authors: Liu Cheng , Zhang Lirui , Zheng Wei , Liang Xin , Zhang Li , Tian Zhihong , Li Guanghui
Published: August 2021

Introduction and Objective: Polycystic ovary syndrome (PCOS) is the most common reproductive disorder in women of reproductive age, and overweight and obesity are highly prevalent in women with PCOS. This study aims to explore whether lifestyle intervention can improve gestational weight gain (GWG), glucolipid metabolism, and perinatal outcomes in overweight/obese pregnant women with PCOS. Methods: This study is a randomized controlled trial that included overweight and obese pregnant women with PCOS who met the inclusion criteria of 8–12 gestational weeks. They were randomly allocated to the intervention group and the control group. Women in the intervention group were given individualized counseling on diet and exercise from a trained dietitian and followed up regularly by a trained dietitian. Women in the control group received guidance on diet and exercise in the form of group education. Results: A total of 296 pregnant women were enrolled in the study, including 164 in the intervention group and 132 in the control group. GWG was 11.93 ± 5.67 kg in the intervention group and 11.86 ± 5.35 kg in the control group and did not differ between the 2 groups. According to the per-protocol analyses, women with good compliance had a lower weight gain (10.11 ± 5.56 vs. 12.70 ± 5.31, p = 0.0042). The incidence of gestational diabetes mellitus and other perinatal outcomes did not differ between the 2 groups. For the lipid profile, we did not find significant improvement in the intervention group. Conclusions: Our study showed that lifestyle intervention of diet and exercise did not affect GWG, glucolipid metabolism, and perinatal outcomes of overweight/obese pregnant women with PCOS. However, women with good compliance can benefit from the lifestyle intervention for GWG. We believe that future studies should focus on trial design and increasing compliance to improve the quality of the study.
The Impact of the COVID-19 Lockdown on the Quality of Life in Chronic Neurological Diseases: The Results of a COVQoL-CND Study
Authors: Sahin Sevki , Karsidag Sibel , Cinar Nilgun , Ates Miruna Florentina , Demir Serkan , Eren Fettah , Neyal Abdurrahman , Kisabay Ak Aysin , Bora Tokcaer Ayse , Erkoc Ataoglu Esra , Akkaya Seda Nur , Aciman Demirel Esra , Koc Filiz , Ozturk Serefnur , Ekmekyapar Firat Yasemin , Okluoglu Tugba , Togrol Erdem , Erdemoglu Ali Kemal , Ergin Nesrin , Sayin Refah , Demir Aysegul , Yilmaz Sueda Ecem
Published: August 2021

Background: Coronavirus disease 2019 (COVID-19) pandemic and lockdown period may induce an impairment in quality of life (QoL), disruption in treatment (DIT), and posttraumatic stress disorder (PTSD) in chronic neurological diseases (CNDs). To reach this information, a multicenter, cross-sectional study (COVQoL-CND) was planned. Parkinson’s disease (PD), headache (HA), multiple sclerosis (MS), epilepsy (EP), polyneuropathy (PNP), and cerebrovascular disease (CVD) were selected as the CND. Methods: The COVQoL-CND study includes demographic data, the World Health Organization Quality of Life short form (WHOQOL-BREF), and Impact of Event Scale-Revised (IES-R) forms. Results: The mean age of a total of 577 patients was 49 ± 17 (19–87 years), and the ratio of female/male was 352/225. The mean age of patients with PD, HA, MS, EP, PNP, and CVD were 65 ± 11, 39 ± 12, 38 ± 10, 47 ± 17, 61 ± 12, and 60 ± 15 years, respectively. The IES-R scores were found to be higher in the younger group, those with comorbid disease, contacted with CO­VID-19 patients, or diagnosed with COVID-19. In the group with a high IES-R score, the rate of DIT was found to be high. IES-R scores were negatively correlated with QoL. IES-R total scores were found highest in the CVD group and lowest in the PD group. The ratio of DIT was found highest in the PNP group and the lowest in the EP group. Contact with CO­VID-19 patients was high in the EP and HA group. Conclusions: The results of the COVQoL-CND study showed that lockdown causes posttraumatic stress and deterioration in the QoL in CND.
Predictors of 10-Year Stent-Related Adverse Outcomes after Coronary Drug-Eluting Stent Implantation: The Importance of Stent Size
Authors: Kjøller-Hansen Lars , Kelbæk Henning , Christiansen Evald Høj , Hansen Peter Riis , Engstrøm Thomas , Junker Anders , Bligaard Niels , Jeppesen Jørgen Lykke , Galløe Anders Michael
Published: August 2021

Introduction: The predictors of stent treatment failure and their importance 10 years after treatment with drug-eluting stents (DESs) have not been reported in detail. Methods: Data were retrieved from the SORT-OUT II database encompassing 2,849 non-left main coronary lesions in 2,073 unselected all-comer patients treated with first-generation DES and followed clinically for 10 years. Stent treatment failure (STF) was defined as definite or probable stent thrombosis, target lesion revascularization (TLR), or >70% restenosis left untreated. Target lesion failure (TLF) was defined as cardiac death, target vessel myocardial infarction, or TLR. Characteristics predicting higher hazard ratios (HRs) were identified by the multivariate Cox regression analysis. Results: A stent diameter ≤2.5 versus ≥3.5 mm had STF 23.3 versus 11.8% and TLF 27.9 versus 18.8%. Stent length <20 versus >40 mm had STF 13.0 versus 29.0% and TLF 18.7 versus 34.6%. In multivariate analysis, decreasing stent diameter (HR: 1.24 [3.0 mm] to 2.12 [2.25 mm], reference ≥3.5 mm) and increasing stent length (HR: 1.15 [20–30 mm] to 2.07 [>40 mm], reference <20 mm) predicted STF together with diabetes (HR: 1.31), previous revascularization (HR: 1.31), restenotic (HR: 2.25), bifurcation (HR: 1.45), and chronically occluded lesions (HR: 1.54). A predictive score (PS) was calculated for each lesion from the HRs for the predictors present. The 10-year rates of STF were 10% in lesions with a PS ≤ 1.5 and 37% in those with PS ≥ 3.5. Conclusions: Ten-year outcomes show large variations depending on the stent size and a few patient and lesion characteristics. The calculation of a PS from these unambiguous variables may be used to improve the risk estimate in individual lesions and patients.
Hemostatic Agent May Improve Perioperative Outcomes in Partial Nephrectomy: A Systematic Review and Meta-Analysis
Authors: Guo Qiong , Lin Yifei , Zhang Chenyang , Guo Yi , Long Youlin , Leng Fangqun , Gao Juan , Cheng Yifan , Yang Liu , Du Liang , Liao Ga , Huang Jin
Published: August 2021

Background: Hemostatic agents (HAs) are used to achieve hemostasis and prevent postoperative complications in multiple surgeries, but the role of HAs is ambiguous during partial nephrectomy (PN), so this study aimed to assess the role of HAs in PN. Methods: PubMed, Embase, CENTRAL and ClinicalTrials.gov were searched for randomized controlled trials and cohort studies regarding the comparison of HA use alone and standard suturing during PN on January 17, 2020. RevMan 5.3 was used to conduct meta-analysis. Sensitivity analyses and subgroup analyses were performed based on surgical procedures and HA types. Results: Six studies involving 1,066 patients were included. The quality of studies was moderate to high. There were significant reductions in warm ischemia time (mean difference [MD] = −6.30 min, 95% confidence interval [CI] −7.70 to −4.90, p < 0.00001), operative time (MD = −19.81 min, 95% CI −27.54 to −12.08, p < 0.00001), and estimated blood loss (MD = −108.62 mL, 95% CI −177.27 to −39.9, p = 0.002) in the HA group, and HA use alone did not increase postoperative complications. The results were similar in the subgroup analyses and sensitivity analyses. Conclusion: HA may be an effective and safe surgical material in PN, which can improve postoperative outcomes. High-quality and randomly designed studies are needed to validate the applicability.
Editorial: Dossiê Encontro Internacional de Teoria e Análise Musical - 10 Anos
Authors: Moreira Adriana Lopes
Published: August 2021

Ao longo de dez anos (2009-2019), os Encontros Internacionais de Teoria e Análise Musical, EITAM, têm publicado artigos cujos enfoques se estendem da análise de obras historicamente orientadas à música atual. Marcando sua quinta edição, a Comissão Organizadora propôs que dez trabalhos com potencial de expansão fossem desdobrados por seus autores, de forma que aspectos expostos no congresso fossem aprofundados. Este número da Revista Música traz os dez artigos.
Uma perspectiva de análise da obra Série de arco de Hermeto Pascoal
Authors: Santos Carlos dos
Published: August 2021

Este artigo realiza uma investigação sobre alguns processos composicionais utilizados por Hermeto Pascoal em sua obra Serie de arco, associada a uma imagética da coreografia em relação à música. Buscamos propor a ideia de que Hermeto trabalha com a perspectiva de bricolagem nesta composição. Para tanto, utilizamos recursos analíticos voltados ao delineamento de contornos musicais (STRAUS, 2013), à análise rítmica baseada em operações simétricas (SANTOS, 2018), à identificação e construção de poliacordes (PERSICHETTI, 1961; CAMARA, 2016) e à cifragem universal (CABRAL; GUIGUE, 2017).
Copepods associated with Ascidian hosts (Tunicata): Intramolgidae and Lichomolgidae, with descriptions of four new genera and 13 new species
Authors: KIM IL-HOI , BOXSHALL GEOFF A.
Published: August 2021

Two new species of the hitherto monotypic family Intramolgidae are described, both are placed in the type genus Intramolgus Marchenkov & Boxshall, 1995. Intramolgus heardensis sp. nov. was found in association with Polyzoa opuntia Lesson, 1830, and the host of I. atlantis sp. nov. was Styela chaini Monniot C. & Monniot F., 1970. Eleven new species belonging to the family Lichomolgidae are reported. These include four new monotypic genera: Antarctomolgus gen. nov. accommodates A. molgulae gen. et sp. nov. from Molgula pedunculata (Herdman, 1881), Didemnomolgus gen. nov. accommodates D. crenulatus gen. et sp. nov. from Didemnum molle (Herdmann, 1886), Spheromolgus gen. nov. accommodates S. rarus gen. et sp. nov. from Diplosoma simile (Sluiter, 1909), and Alupa gen. nov. accommodates A. geminata gen. et sp. nov. from Leptoclinides madara Tokioka, 1953. The remaining new species are: Debruma deplanata sp. nov. from Ascidia ornata Monniot F. & Monniot C., 2001, Lichomolgidium bipartitum sp. nov. from Pyura stolonifera (Heller, 1878), Lichomolgus papuensis sp. nov. from Rhopalaea circula Monniot F. & Monniot C., 2001, L. brevicaudatus sp. nov. from an unidentified species of Polycarpa Heller, 1877, L. alatus sp. nov. from Synoicum castellatum Kott, 1992, L. lepidotus sp. nov. from Aplidium altarium (Sluiter, 1909), and Lobomolgus foveolatus sp. nov. from Didemnum molle (Herdmann, 1886). In addition, redescriptions are provided for Henicoxiphium redactum Illg & Humes, 1971, Lichomolgidium sardum Kossmann, 1877, Lichomolgus canui Sars, 1917, L. forficula Thorell, 1860, and Zygomolgus dentatus Kim I.H., 2006.
A distributional synopsis of the Pentatomidae (Heteroptera) north of Mexico, including new state and provincial records
Authors: RIDER DAVID A. , SWANSON DANIEL R.
Published: August 2021

The species of Pentatomidae known to occur north of Mexico, comprising 223 species in 68 genera, are enumerated with taxonomic notes and updated and annotated distributions. Included in this update are 126 new state records reported for 62 pentatomid species in 30 genera. The copious annotations in these distributions and attendant bibliography serve as an extensive compilation of overlooked references that might contain distributional records for other insect, especially heteropteran, species.