bluuebunny/crossref_metadata_2025 huggingface dataset:
Profesores principiantes: estrategias para establecer una relación de autoridad pedagógica
Authors: Cox-Vial María del Pilar , Sabat-Donoso Gisele Belén , Zamora-Poblete Guillermo , Meza-Pardo Marisa
Published: June 2022

Construir una relación de autoridad pedagógica efectiva es un desafío permanente para los docentes principiantes. Esta investigación busca comprender las estrategias que emplean docentes de secundaria durante el primer año de ejercicio profesional y su articulación con los tipos de relación profesor-estudiante que estas implican. Para ello, se examinaron entrevistas y registros de observación y se detectaron seis categorías en las distintas estrategias empleadas, que facilitaron la relación profesor-estudiante con tendencia vertical (mayor control docente), horizontal (mayor participación estudiantil) o una combinación de ambas. Se observa una tendencia hacia relaciones profesor-estudiante más horizontales.
Current Advancement of Heliostats
Authors: Weissert Joshua , Zhou Yu , You Dongchuan , Metghalchi Hameed
Published: June 2022

This paper looks at the advancements made in Solar Power Towers and Heliostat Fields since 2017 and summarizes the current problems in various subsections. Heliostat fields capturing concentrated solar power (CSP) have been looked at for decades as a reliable renewable energy source that can balance out the variability of wind and photovoltaic cells. In recent years, many studies have researched possible improvements in CSP technology. Uniform methods have been developed to better estimate wind loads in various conditions. Gap size and hinge height to cord ratio have been studied to optimize structural strength. Coatings and cleaning schedules have been developed to increase the optical efficiency of plants. However, there are many studies that still need to be done to better understand wind and optics for solar power towers. While the levelized cost of electricity (LCOE) of power tower systems has decreased dramatically in recent years, more research and development need to be done to reach the Sunshot Initiative’s goal of 5 cents per kilowatt hour. A large area of improvement for future research comes from heliostat manufacturing costs which make up around 40% of energy plant costs. By lowering this cost from the current value of approximately $100/m2 to the Sunshot Initiative’s goal of $50/m2, the LCOE of concentrated solar thermal energy will be drastically reduced.
Professor Emeritus Roy A. Norton and his outstanding contributions to our knowledge of systematics, evolution, morphology, ecology and behaviour of Oribatida and other mites
Authors: Minor Maria , Behan-Pelletier Valerie
Published: June 2022

N/A
Effect of impurities on the Raman spectra of spray-coated β-Ga2O3 thin films
Authors: Schmidt Constance , Zahn Dietrich R. T.
Published: June 2022

Here, the incorporation of impurities into doped thin β-Ga2O3 films was studied by Raman spectroscopy, and a simple spring model was employed to estimate the impurity concentration from the impurity-modified frequencies of first-order phonon modes. β-Ga2O3 thin film samples were prepared using the spray-coating technique. As impurities, we used rare earth atoms (Er, Sm, and Gd) as well as Mg, Al, and Zn, with the nominal impurity concentrations varying from 0.5% up to 5.0%. As the impurities are expected to predominantly occupy Ga sites in the β-Ga2O3 lattice, heavier and lighter atoms than Ga should have a pronounced influence on Ga-related lattice vibrations. Therefore, in the Raman spectra of the thin films measured using 325-nm excitation, the impurity-induced shifts of the frequencies of vibrations involving Ga and O atoms were employed to estimate the impurity concentration. In addition, a high-impurity concentration can cause the formation of impurity-related oxides, as it is clearly visible for Zn. Besides, the Raman spectra with Mg as the impurity show that Mg most probably occupies interstitial rather than substitutional sites as the Raman modes do not shift with respect to the impurity concentration.
Impacts of growth conditions on InAlBiAs electrical properties and morphology
Authors: Bork James , Acuna Wilder , Zide Joshua
Published: June 2022

As a highly mismatched alloy class, dilute bismuthide materials exhibit strong valence band-Bi impurity state interactions, leading to large bandgap bowing parameters and strong spin–orbit coupling due to the inclusion of Bi in III-V semiconductors. Such properties make the dilute bismuthides ideal candidates for devices requiring band and strain engineering, particularly those in the infrared regions. In this work, the molecular beam epitaxy growth of the dilute bismuthide InxAl1−xBiyAs1−y on InP is studied. To address challenges universally faced in dilute bismuthide growth, a growth–space diagram is constructed to better understand the conditions needed for Bi incorporation and droplet-free growth of the class of dilute bismuthide materials. From this understanding, high-quality, droplet-free growth of In0.52Al0.48BiyAs1−y with up to 5.1% Bi is demonstrated. The n-type unintentional doping of these films is found to be ∼1013–1015 cm−3 with a free carrier mobility of ∼700–1500 cm2/(V s). From these films, the compressive strain induced by Bi incorporation is measured to be (0.190 ± 0.004)% strain/(% Bi) for In0.52Al0.48BiyAs1−y. Using this value to offset strain, lattice-matched InxAl1−xBiyAs1−y on InP is demonstrated.
Study of an acoustic energy harvester consisting of electro-spun polyvinylidene difluoride nanofibers
Authors: Zhang Ran , Shao Hao , Lin Tong , Wang Xu
Published: June 2022

Sound pollution has been capturing more and more attention around the world. Piezoelectric materials convert acoustic energy into electrical energy and actively attenuate the sound simultaneously. In this paper, an electro-spun nonwoven polyvinylidene difluoride nanofiber membrane as a high-performance piezoelectric material is found to have an ultra-high acoustoelectric conversion capability at the low sound frequency range. The novelty of the material in this paper is the proposed electro-spun piezoelectric nano-fiber web, which presents a strong acoustic-to-electric conversion performance. The piezoelectric acoustic energy harvester consists of the polyvinylidene difluoride nanofiber membrane that vibrates under the sound wave excitation. The piezoelectric acoustic energy harvester device can precisely detect the sound of 72.5 Hz with a sensitivity as high as 711.3 mV Pa−1 which is higher than the sensitivity of a commercial piezoelectric poly (vinylidene fluoride) membrane device. The energy harvesting performance of the piezoelectric acoustic energy harvester device is simulated by the comsol software and then validated with the experimental results to illustrate its excellent energy harvesting ability. Based on the validated simulation model, a regression parameter model is developed from the comsol software simulation results using the response surface method. The empirical regression parameter model is applied to predict the energy harvesting performance of the acoustic energy harvester from input design parameters or material property parameters where the sensitivity of the design parameters or material property parameters and their interactions can be analyzed. The design or material property parameters can be optimized for the best energy harvesting performance based on the regression parameter model. The optimization results show a significant improvement in the energy harvesting performance. The sensitivity of the parameters on the energy harvesting performance also indicates the potential of the large-scale application of this acoustic energy harvester.
A community response approach to mental health and substance abuse crises reduced crime
Authors: Dee Thomas S. , Pyne Jaymes
Published: June 2022

Police officers often serve as first responders to mental health and substance abuse crises. Concerns over the unintended consequences and high costs associated with this approach have motivated emergency response models that augment or completely remove police involvement. However, there is little causal evidence evaluating these programs. This preregistered study presents quasi-experimental evidence on the impact of an innovative “community response” pilot in Denver that directed targeted emergency calls to health care responders instead of the police. We find robust evidence that the program reduced reports of targeted, less serious crimes (e.g., trespassing, public disorder, and resisting arrest) by 34% and had no detectable effect on more serious crimes. The sharp reduction in targeted crimes reflects the fact that health-focused first responders are less likely to report individuals they serve as criminal offenders and the spillover benefits of the program (e.g., reducing crime during hours when the program was not in operation).
Reviving degraded colors of yellow flowers in 17th century still life paintings with macro- and microscale chemical imaging
Authors: De Keyser Nouchka , Broers Fréderique , Vanmeert Frederik , De Meyer Steven , Gabrieli Francesca , Hermens Erma , Van der Snickt Geert , Janssens Koen , Keune Katrien
Published: June 2022

Over time, artist pigments are prone to degradation, which can decrease the readability of the artwork or notably change the artist’s intention. In this article, the visual implication of secondary degradation products in a degraded yellow rose in a still life painting by A. Mignon is discussed as a case study. A multimodal combination of chemical and optical imaging techniques, including noninvasive macroscopic x-ray powder diffraction (MA-XRPD) and macroscopic x-ray fluorescence imaging, allowed us to gain a 3D understanding of the transformation of the original intended appearance of the rose into its current degraded state. MA-XRPD enabled us to precisely correlate in situ formed products with what is optically visible on the surface and demonstrated that the precipitated lead arsenates and arsenolite from the yellow pigment orpiment and the light-induced fading of an organic yellow lake irreversibly changed the artist’s intentional light-shadow modeling.
Risk assessment with gut microbiome and metabolite markers in NAFLD development
Authors: Leung Howell , Long Xiaoxue , Ni Yueqiong , Qian Lingling , Nychas Emmanouil , Siliceo Sara Leal , Pohl Dennis , Hanhineva Kati , Liu Yan , Xu Aimin , Nielsen Henrik B. , Belda Eugeni , Clément Karine , Loomba Rohit , Li Huating , Jia Weiping , Panagiotou Gianni
Published: June 2022

A growing body of evidence suggests interplay between the gut microbiota and the pathogenesis of nonalcoholic fatty liver disease (NAFLD). However, the role of the gut microbiome in early detection of NAFLD is unclear. Prospective studies are necessary for identifying reliable, microbiome markers for early NAFLD. We evaluated 2487 individuals in a community-based cohort who were followed up 4.6 years after initial clinical examination and biospecimen sampling. Metagenomic and metabolomic characterizations using stool and serum samples taken at baseline were performed for 90 participants who progressed to NAFLD and 90 controls who remained NAFLD free at the follow-up visit. Cases and controls were matched for gender, age, body mass index (BMI) at baseline and follow-up, and 4-year BMI change. Machine learning models integrating baseline microbial signatures (14 features) correctly classified participants (auROCs of 0.72 to 0.80) based on their NAFLD status and liver fat accumulation at the 4-year follow up, outperforming other prognostic clinical models (auROCs of 0.58 to 0.60). We confirmed the biological relevance of the microbiome features by testing their diagnostic ability in four external NAFLD case-control cohorts examined by biopsy or magnetic resonance spectroscopy, from Asia, Europe, and the United States. Our findings raise the possibility of using gut microbiota for early clinical warning of NAFLD development.
Dehalogenation of Chlorinated Ethenes to Ethene by a Novel Isolate, “
Candidatus
Dehalogenimonas etheniformans”
Authors: Chen Gao , Kara Murdoch Fadime , Xie Yongchao , Murdoch Robert W. , Cui Yiru , Yang Yi , Yan Jun , Key Trent A. , Löffler Frank E.
Published: June 2022

Chlorinated ethenes are risk drivers at many contaminated sites, and current bioremediation efforts focus on organohalide-respiring
Dehalococcoides mccartyi
strains to achieve detoxification. We isolated and characterized the first non-
Dehalococcoides
bacterium, “
Candidatus
Dehalogenimonas etheniformans” strain GP, capable of metabolic reductive dechlorination of TCE, all DCE isomers, and VC to environmentally benign ethene.
Common condition with uncommon cause: fungal folliculitis in immunosuppressed patient with Blau syndrome
Authors: Ebadian Mona , Barbieri Antonia , Shpadaruk Volha
Published: June 2022

We present a case of a patient with a history of Blau syndrome, who presented with acute onset of widespread florid painful folliculitis rash, which was resistant to the treatment with multiple courses of antibiotics in the community. Despite of the negative skin swab and negative periodic acid-schiff (PAS)stain on the skin biopsy, clinical diagnosis was fungal folliculitis and patient responded well to the course of itraconazole.
Pneumocystis pneumonia with respiratory failure in a HIV-negative patient following short course of low-dose to moderate-dose prednisolone for a dermatological condition
Authors: Borojevic Branko , Johns Esther , Raju Nihal , Sycamnias Lachlan Angus
Published: June 2022

A woman in her 80s was admitted with 5 days of progressive dyspnoea and hypoxic respiratory failure, in the setting of receiving a 3-week course of low-dose to moderate-dose prednisolone for a pruritic skin rash. Her medical history was not significant for major medical comorbidities or any other clear risk factors for secondary immunosuppression apart from advanced age. CT revealed widespread small-airway and parenchymal disease with ground-glass opacities consistent with atypical respiratory infection. Sputum PCR confirmedPneumocystis jirovecii. She was diagnosed withPneumocystis jiroveciipneumonia (PJP) in the context of her clinical presentation, radiological features and PCR result. Her HIV status was negative. The patient was treated with 4 weeks of trimethoprim–sulfamethoxazole and 3 weeks of adjunctive prednisolone. She initially required high-dependency unit support with non-invasive ventilation. In this case report, we review the literature regarding PJP in the dermatology setting.
Arthroscopic partial meniscectomy versus physical therapy for traumatic meniscal tears in a young study population: a randomised controlled trial
Authors: van der Graaff Sabine J A , Eijgenraam Susanne M , Meuffels Duncan E , van Es Eline M , Verhaar Jan A N , Hofstee Dirk Jan , Auw Yang Kiem Gie , Noorduyn Julia C A , van Arkel Ewoud R A , van den Brand Igor C J B , Janssen Rob P A , Liu Wai-Yan , Bierma-Zeinstra Sita M A , Reijman Max
Published: June 2022

Objective

To compare outcomes from arthroscopic partial meniscectomy versus physical therapy in young patients with traumatic meniscal tears.

Methods

We conducted a multicentre, open-labelled, randomised controlled trial in patients aged 18–45 years, with a recent onset, traumatic, MRI-verified, isolated meniscal tear without knee osteoarthritis. Patients were randomised to arthroscopic partial meniscectomy or standardised physical therapy with an optional delayed arthroscopic partial meniscectomy after 3-month follow-up. The primary outcome was the International Knee Documentation Committee (IKDC) score (best 100, worst 0) at 24 months, which measures patients’ perception of symptoms, knee function and ability to participate in sports activities.

Results

Between 2014 and 2018, 100 patients were included (mean age 35.1 (SD 8.1), 76% male, 34 competitive or elite athletes). Forty-nine were randomised to arthroscopic partial meniscectomy and 51 to physical therapy. In the physical therapy group, 21 patients (41%) received delayed arthroscopic partial meniscectomy during the follow-up period. In both groups, improvement in IKDC scores was clinically relevant during follow-up compared with baseline scores. At 24 months mean (95% CI) IKDC scores were 78 (71 to 84) out of 100 points in the arthroscopic partial meniscectomy group and 78 (71 to 84) in the physical therapy group with a between group difference of 0.1 (95% CI −7.6 to 7.7) points out of 100.

Conclusions

In this trial involving young patients with isolated traumatic meniscal tears, early arthroscopic partial meniscectomy was not superior to a strategy of physical therapy with optional delayed arthroscopic partial meniscectomy at 24-month follow-up.

Trial registration

https://www.trialregister.nl/trials.
Role of primary motor cortex in gait: automatic-voluntary dissociation seen in paretic leg of a patient who had a stroke
Authors: Nagaoka Masanori , Kumakura Yasuhiro , Inaba Katsuyuki , Ebihara Akira , Usui Miyu
Published: June 2022

Objective

To examine the role of primary motor cortex in gait through exploring the dissociation of impaired voluntary leg muscle contraction and preserved rhythmic activities during gait in a patient who had a stroke.

Subject and methods

A 49-year-old man with an infarct in the primary motor cortex exhibited automatic-voluntary dissociation in the paretic leg. Functional studies were conducted using surface electromyography (EMG) and near-infrared spectroscopy (NIRS).

Results

The patient was incapable of voluntary contraction of individual leg muscles on the paretic right side but was able to walk automatically while contracting those muscles rhythmically. Surface EMG confirmed the earlier findings objectively. The preserved automatic activities helped recovery of gait capability, but NIRS showed no functional recovery in the corresponding motor cortex during treadmill gait. We considered that the loss of voluntary leg muscle contraction and the preserved gait capacity in this patient represented a form of automatic-voluntary dissociation.

Conclusions

The preserved gait capability suggests that the leg representation of the primary motor cortex may not play a major functional role in gait, but other components of the nervous system, including the spinal central pattern generator, would serve important functions to maintain gait capability.
Temporal evolution of critical traits and their relationship to cod stock collapse and recovery
Authors: Petrie Brian , Frank Kenneth T. , Leggett William C.
Published: June 2022

The North Atlantic Fisheries Organization response to a precipitous decline of the Flemish Cap cod ( Gadus morhua) stock during the 1990s was the imposition of an 11 year moratorium on directed fishing for cod; recovery followed. Over the three decades that encompassed the precollapse, collapse, and recovery stages, we found that the cod stock status was characterized by four traits: spawning stock biomass, maturity-at-age, weight-at-age, and recruitment. The temporal evolution of these traits was consistent with a density-dependent conceptual model suggesting that phenotypic plasticity was at play during the rebuilding of the stock. The temporal progression of the broader fish community paralleled that of cod, underlying its key ecosystem position. The same demographic variables defined the state of the adjacent Northern Cod stock that underwent a similar pattern of decline, an intermittent moratorium but only partial recovery. This partial recovery is possibly related, in part, to declines of prey species brought about by excessive harvesting after the cod collapse and an apparent collapse of capelin, a major dietary component.
Thermodynamics of Power–Maxwell charged AdS black holes with quintessence in Rastall gravity: Heat engine
Authors: Mondal Debojyoti , Debnath Ujjal
Published: June 2022

In this paper, we derive thermodynamic quantities of Power–Maxwell charged black holes, in the presence of quintessence in Rastall gravity and discuss further about the [Formula: see text]–[Formula: see text] criticality and stability and how these quantities depend on various parameters. Then we show that the said black hole can be thought of as a thermodynamic heat engine and we analyze the efficiency for Carnot cycle and Rankin cycle.
Bone Morphology in Ulnar Impaction Syndrome: A Radiographic Evaluation
Authors: CHINEN Shuko , OKUBO Hirotaka , ONAKA Keiko , NAKASONE Motoko , KINJO Masaki , NISHIDA Kotaro
Published: June 2022

Background: Positive ulnar variance (UV) may be associated with a higher incidence of ulnar impaction syndrome (UIS). However, neutral and/or negative UV has also been associated with the development of UIS; therefore, other risk factors may be involved. The purpose of this study was to compare radiological bone morphology in patients with UIS and asymptomatic controls.

Methods: Between 2009 and 2018, posteroanterior wrist radiographs of 47 wrists in 45 patients diagnosed with UIS were compared with those of 163 wrists in 93 asymptomatic patients from the control group. The following parameters were obtained: ulnar variance (UV); ulnar head top-fovea distance (UTFD); capitate–triquetrum distance (CTD); radio-lunate distance (RLD) and lunate coverage ratio (LCR). The morphology of the lunate was classified based on the absence (type I) or presence (type II) of a medial facet that articulates with the hamate. The radiographic parameters and lunate types were compared between the two groups. We then divided the groups into two subgroups: the positive UV subgroup and the neutral/negative UV subgroup. In each subgroup, the radiographic parameters and lunate types were compared between the UIS and control groups.

Results: In the UIS group, the UV and UTFD were significantly increased compared to those in the control group. The proportion of type II lunates was significantly higher in the UIS group than in the control group. In addition, the type II lunate was more common in the UIS group in both the positive UV and negative UV groups.

Conclusions: Our study suggests that in addition to positive UV, ulnar head morphology with an increased UTFD and type II lunate morphology may be associated with the development of ulnar impaction syndrome.

Level of Evidence: Level III (Diagnostic)
Dealing with Belief Uncertainty in Domain Models
Authors: Burgueño Lola , Muñoz Paula , Clarisó Robert , Cabot Jordi , Gérard Sébastien , Vallecillo Antonio
Published: June 2022

There are numerous domains in which information systems need to deal with uncertain information. These uncertainties may originate from different reasons such as vagueness, imprecision, incompleteness, or inconsistencies, and in many cases, they cannot be neglected. In this article, we are interested in representing and processing uncertain information in domain models, considering the stakeholders’ beliefs (opinions). We show how to associate beliefs to model elements and how to propagate and operate with their associated uncertainty so that domain experts can individually reason about their models enriched with their personal opinions. In addition, we address the challenge of combining the opinions of different domain experts on the same model elements, with the goal to come up with informed collective decisions. We provide different strategies and a methodology to optimally merge individual opinions.
Melt Synthesis of Lithium Manganese Iron Phosphate: Part II. Particle Size, Electrochemical Performance, and Solid-State Lithium Diffusion
Authors: Lyle Erin , Vaeli Ron , Cormier Marc , Metzger Michael
Published: June 2022

Melt synthesis is a fast and simple process to make dense LiMnyFe1−yPO4 (LMFP with 0 ≤ y ≤ 1) from all-dry, low-cost precursors with zero waste. Part one of this study confirmed that highly crystalline and phase pure LMFP materials can be made by melt synthesis. This part shows that planetary milling can reduce the primary particle size of melt LMFP (0%–75% Mn) to ∼200 nm, which is smaller than the primary particles in commercial LFP reference material (0% Mn). However, further particle size reduction is needed to reach particle sizes below 70 nm observed in reference LMFP (79% Mn). Melt LFP shows almost identical specific capacity and charge/discharge voltage as reference LFP. Melt LMFP materials show a high voltage Mn plateau at ∼4 V associated with the Mn2+/3+ redox, the length of which scales with Mn content. The Mn plateau raises the average discharge voltage of LMFP; hence a minimum specific discharge capacity between 160 mAh g−1 (0% Mn) and 145 mAh g−1 (80% Mn) is sufficient to match the volumetric energy density of LFP. The Atlung Method for Intercalant Diffusion shows that the lithium diffusion coefficient in LMFP is ∼1 order of magnitude higher in the voltage region of the Fe2+/3+ redox couple (3.75–3.1 V vs Li+/Li) than in the voltage region of the Mn2+/3+ redox couple (4.3–3.75 V vs Li+/Li). This emphasizes the need for very small primary particles when making LMFP with relatively high Mn content.
Electrodialysis of a Lithium Sulphate Solution: An Experimental Investigation
Authors: Kang Bolin , Kang Dongxin , Jung Joey Chung-Yen Joey , Asadi Anahita , Sui Pang-Chieh
Published: June 2022

In the hydrometallurgical recycling of spent lithium-ion batteries, a lithium sulphate solution (Li2SO4) can be obtained as a by-product. Electrodialysis (ED) was employed in this study to split Li2SO4 into lithium hydroxide (LiOH) and sulfuric acid (H2SO4) solutions, which can be reused in the recycling process to create a closed-loop process. A three-compartment ED cell with a dilute channel filled with a Li2SO4 solution and two concentrate channels separately filled with LiOH and H2SO4 solutions was developed. The dilute and concentrate channels were separated by cation-exchange and anion-exchange membranes, respectively. High ion recovery ratios of Li+ and SO4
2− of 94.3 and 87.5%, respectively, were achieved at a current density of 833 A·m−2. The effects of the current density, inlet concentrations, and initial fluid volume on the overall efficiency of the cell were studied. Electro-osmosis played an important role during ED, particularly on the functioning of the cation-exchange membrane. Increasing the initial solution volume in the concentrated compartments can enhance current efficiency and ion recovery. In conclusion, the present study provides insights into the transport of coupled species through an ED cell, and the findings may guide future designs and operations of ED cells for optimal efficiency.
Noninvasive Human-Computer Interface Methods and Applications for Robotic Control: Past, Current, and Future
Authors: Hu Xiaomei , Liu Yajuan , Zhang Hao Lan , Wang Wei , Li Yijie , Meng Chao , Fu Zhengke
Published: June 2022

The purpose of this study is to explore the noninvasive human-computer interaction methods that have been widely used in various fields, especially in the field of robot control. To have a deep understanding of the development of the methods, this paper employs “Mapping Knowledge Domains” (MKDs) to find research hotspots in the area to show the future potential development. Through the literature review, this paper found that there was a paradigm shift in the research of noninvasive BCI technologies for robotic control, which has occurred from early 2010 since the rapid development of machine learning, deep learning, and sensory technologies. This study further provides a trend analysis that the combination of data-driven methods with optimized algorithms and human-sensory-driven methods will be the key areas for the future noninvasive method development in robotic control. Based on the above findings, the paper provides a potential developing way of noninvasive HCI methods for related areas including health care, robotic system, and media.
A Semantic Model of Internet of Things for Intelligent Translation and Learning
Authors: Wei Nan
Published: June 2022

There were a lot of multisource data and heterogeneous devices in the intelligent system of the Internet of things, and the existing methods were difficult to meet the service needs of users for intelligent entities. Therefore, this paper proposed a semantic model construction method of the Internet of things based on intelligent translation and learning. Firstly, on the basis of summarizing the relevant theories of semantic Internet of things, this paper analyzed the semantic data and its characteristics, and expounded the common ontology matching methods. Secondly, according to the characteristics of service ontology and user ontology in intelligent Internet of things system, a method of matching two different ontologies based on string and semantic relationship was proposed, and the cyclic neural network method was used to organically integrate the semantic data of ontology. Finally, in order to realize the perception and representation of the context information of the Internet of things, a semantic model of the Internet of things based on intelligent translation and learning was constructed. Through experimental comparative analysis, the results showed that compared with the traditional methods based on semantic similarity and semantic distance, the semantic model of the Internet of things proposed in this paper had better performance in accuracy and recall, and can achieve better application effect of the Internet of things system. The model proposed in this paper will provide a theoretical reference for further exploring the sharing and service of heterogeneous devices and data in the intelligent Internet of things system.
A New Quantitative Definition of the Complexity of Organized Matters
Authors: Okamoto Tatsuaki
Published: June 2022

One of the most fundamental problems in science is to define the complexity of organized matters quantitatively, that is, organized complexity. Although many definitions have been proposed toward this aim in previous decades (e.g., logical depth, effective complexity, natural complexity, thermodynamics depth, effective measure complexity, and statistical complexity), there is no agreed‐upon definition. The major issue of these definitions is that they captured only a single feature among the three key features of complexity, descriptive, computational, and distributional features, for example, the effective complexity captured only the descriptive feature, the logical depth captured only the computational, and the statistical complexity captured only the distributional. In addition, some definitions were not computable; some were not rigorously specified; and any of them treated either probabilistic or deterministic forms of objects, but not both in a unified manner. This paper presents a new quantitative definition of organized complexity. In contrast to the existing definitions, this new definition simultaneously captures all of the three key features of complexity for the first time. In addition, the proposed definition is computable, is rigorously specified, and can treat both probabilistic and deterministic forms of objects in a unified manner or seamlessly. The proposed definition is based on circuits rather than Turing machines and ɛ‐machines. We give several criteria required for organized complexity definitions and show that the proposed definition satisfies all of them.
A Microwave Imaging Matrix Algorithm Based on Contrast Source
Authors: Wang Meng , Lu Guizhen , Chen Junwen
Published: June 2022

A microwave imaging matrix algorithm based on the contrast source is proposed. It is known that the contrast source and the total field change by shifting the position of the incident field. To ensure the constancy of the contrast source, this paper first proposes a novel inversion model based on the contrast source. The excitation source is located at a single fixed position, and the scattering data is obtained by measuring points evenly distributed on multiple circular layers. Secondly, a matrix algorithm based on the contrast source is proposed, which transforms the nonlinear imaging problem into a matrix operation step-by-step without iteration. The numerical simulation results show that the matrix algorithm proposed in this paper has high precision and good performance with complex imaging problems. In addition, the limitation of the proposed algorithm when inversing data with noise is also analyzed.
Meta-Analysis of Dynamic Electrocardiography in the Diagnosis of Myocardial Ischemic Attack of Coronary Heart Disease
Authors: Ruan Wenting
Published: June 2022

Background and Aims. Patients with coronary artery disease (CHD) are prone to early myocardial ischemia; early diagnosis of myocardial ischemia is of great significance in judging disease progression and guiding clinical intervention. However, reports on the accuracy of dynamic electrocardiogram (ECG) in the diagnosis of myocardial ischemia in patients with CHD are inconsistent. The purpose of the current meta-analysis was to analyze the efficacy of ECG in the diagnosis of myocardial ischemia attack in CHD. Methods. Chinese database (Wanfang, VIP, and CNKI) and English database (PubMed, Web of Science, Embase, SinoMed, and Cochrane Library) were searched. A study on the collection of dynamic ECG in the diagnosis of myocardial ischemic attack of coronary heart disease to extract data and calculate sensitivity (Sen), specificity (Spe), positive likelihood ratio (+LR), negative likelihood ratio (- LR), and diagnostic odds ratio (DOR). Draw summary receiver operating characteristic curves (SROC), and calculate area under curve (AUC). Stata 15 software was used for meta-analysis. Results. Twenty-seven literatures were included in this study. Meta-analysis results showed that

Sen
=
0.78

(95% CI: 0.73~0.82),

Spe
=
0.76

(95% CI: 0.68~0.82),

+
LR
=
2.79

(95% CI: 2.17~3.59),

−
LR
=
0.33

(95% CI: 0.27~0.40),

AUC
=
0.84

(95% CI: 0.80~0.87), and

DOR
=
9.66

(95% CI: 6.13~15.21). Subgroup analysis showed that the sensitivity of 12-lead ECG was higher than that of 3-lead ECG. The sensitivity and specificity of ST segment and QTc interphase changes were higher than those of ST segment changes alone (

P
<
0.05

). Conclusion. Dynamic ECG has high application value in the diagnosis of myocardial ischemia attack of coronary heart disease. But it is difficult to achieve a satisfactory level of use alone. ST segment combined with QTc interval observation can improve the diagnostic accuracy. Synchronous observation of ST segment and QTc interval can improve the diagnostic efficiency.
Some Generalized Formulas of Hadamard-Type Fractional Integral Inequalities
Authors: Zhang Xiujun , Farid Ghulam , Yasmeen Hafsa , Nonlaopon Kamsing
Published: June 2022

This paper is aimed at establishing the generalized forms of Riemann-Liouville fractional inequalities of the Hadamard type for a class of functions known as strongly exponentially

α
,
h
−
m

-

p

-convex functions. These inequalities provide some general formulas from which one can get associated inequalities for various types of exponentially convex and strongly convex functions. Refinements of well-known inequalities are also deducible from the established theorems.
Nifedipine plus Systematic Nursing on Pregnancy Outcomes in Patients with Gestational Hypertension
Authors: Ma Yan , Zhang Yingping
Published: June 2022

Objective. To study the effect of nifedipine combined with systematic nursing on pregnancy outcomes in patients with gestational hypertension. Methods. According to the random number table method, 120 patients with gestational hypertension treated in our hospital were divided into the control group (60 cases) and observation group (60 cases). The control group was given magnesium sulfate treatment, the observation group was given magnesium sulfate combined with nifedipine, and the two groups of patients were given systematic nursing. The blood pressure levels, negative emotions, and pregnancy outcomes of the two groups of patients before and after treatment were compared. The blood pressure levels of the two groups before and after treatment were measured by the electronic sphygmomanometer, and the self-rating depression scale (SDS) and self-rating scale (SAS) were used to evaluate the depression and anxiety of the two groups, respectively. Results. After treatment, the systolic blood pressure, diastolic blood pressure, SDS score, and SAS score of the two groups were decreased, and the observation group was significantly lower than the control group. Additionally, the observation group had lower incidence of cesarean section, postpartum hemorrhage, premature rupture of membranes, and neonatal asphyxia (

P
<
0.05

). Conclusion. Nifedipine plus systematic nursing in patients with gestational hypertension can effectively improve the pregnancy outcome and adverse emotions such as depression and anxiety, reduce blood pressure, and promote disease recovery.
Automatic English Pronunciation Evaluation Algorithm Based on Sequence Matching and Feature Fusion
Authors: Liu Nian
Published: June 2022

This article focuses on the question answering type of automatic scoring system for large-scale spoken English examinations and scores using a method called multifeature fusion. Three types of features are extracted to score using speech recognition text as the research object. The three types of features are similarity, syntactic, and phonetic. There are nine distinct characteristics that describe the relationship between examinee responses and expert ratings. Manhattan distance is improved as a measure of similarity in the similarity feature. Simultaneously, a feature of keyword coverage based on editing distance is proposed, and the phenomenon of word variation in text recognition is fully considered, in order to provide examinees with an objective and fair score. To obtain the machine score, all extracted features were fused using a multiple linear regression model. The experimental results demonstrate that the extracted features are extremely effective for machine scoring, with the system scoring performance of the examinee as a unit equaling 98.4 percent of expert scoring performance.
Molecular Mechanism of Crataegi Folium and Alisma Rhizoma in the Treatment of Dyslipidemia Based on Network Pharmacology and Molecular Docking
Authors: Wang Hui , Wang Hua , Zhang Jin , Luo Jiahui , Peng Caidong , Tong Xiaoyun , Chen Xudong
Published: June 2022

Background. Dyslipidemia has become a critical global issue for public health, with elevating prevalence and morbidity closely related to many cardiovascular diseases (CVD) with high incidence rates. Crataegi Folium (known as Shanzhaye in China, SZ, the leaves of Crataegus pinnatifida Bge. var. major N.E. Br. or Crataegus pinnatifida Bge) and Alisma rhizoma (known as Zexie in China, ZX, the dried tuber of Alisma orientale (Sam.) Juzep or Alisma plantago-aquatica Linn), a classic combination of herbs, have been widely used to treat dyslipidemia. However, the therapeutic mechanism of this pair still remains unclear. Hence, this study aimed to elucidate the molecular mechanism of the Shanzhaye-Zexie herb pair (SZHP) in the treatment of dyslipidemia with the use of a network pharmacology analysis approach. Methods. Active compounds, targets of the SZHP, and targets for dyslipidemia were screened based on the public database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment were performed on the database for annotation, visualization, and integrated discovery (DAVID 6.8). The compound-target-disease-pathway network was visualized using the Cytoscape software, and SYBYL was used for molecular docking. Results. Twelve active compounds in the SZHP were screened out, which were closely connected to 186 dyslipidemia-related targets. The network analysis revealed that sitosterol, stigmasterol, isorhamnetin, kaempferol, and quercetin might be candidate agents and CCND1, CASP3, HIF1A, and ESR1 genes were potential drug targets. GO analysis revealed 856 biological processes (BP), 139 molecular functions (MF), and 89 cellular components (CC). The KEGG pathway enrichment analysis indicated that the lipid level and atherosclerosis might influence the treatment of dyslipidemia. Molecular docking showed that quercetin bound well to CCND1, HIF1A, MYC, AKT1, and EGFR genes. These findings were in accord with the prediction obtained through the network pharmacology approach. Conclusions. This study revealed the primary pharmacological effects and relevant mechanisms of the SZHP in treating dyslipidemia. Our findings may facilitate the development of the SZHP or its active compounds as an alternative therapy for dyslipidemia. Still, more pharmacological experiments are needed for verification.
Identification of Small Nucleolar RNA SNORD60 as a Potential Biomarker and Its Clinical Significance in Lung Adenocarcinoma
Authors: Zhou Hongwei , Yao Yibing , Li Yan , Guo Nannan , Zhang Huanhuan , Wang Zhikuan , Chen Yingtai , Dai Guanghai
Published: June 2022

Non‐small‐cell lung cancer (NSCLC) is the leading cause of cancer deaths in the world and often diagnosed at an advanced stage, so it is urgent to explore the pathogenesis and new diagnostic biomarkers. Accumulated evidences suggested that small nucleolar RNAs (snoRNAs) played a key role in the development and progression of NSCLC. To examine differential expression snoRNA profile and identify snoRNAs with clinical significance in lung adenocarcinoma (LUAD), The Cancer Genome Atlas (TCGA) LUAD RNA sequencing dataset was used to investigate differential expression snoRNA signatures and compared with snoRNA PCR array analysis in pair‐matched LUAD tissues. The diagnostic ability of SONRD60 was assessed using a receiver operating characteristic (ROC) curve. The Kaplan‐Meier method was used to plot survival curves. Univariate and multivariate Cox regression analyses were used to investigate the prognostic effect of SNORD60 expression on LUAD. The results showed that SNORD60 was a significantly upregulated snoRNA after intersection analysis in LUAD cases. SNORD60 has 74.2% sensitivity and 75.3% specificity for the diagnosis of LUAD. Increased SNORD60 expression was linked with lymph node metastases and the TNM stage (P < 0.05). Pathological T category and lymph node metastases were independent prognostic factors for overall survival in a multivariate Cox regression study. Our findings demonstrated that SNORD60, a small nucleolar RNA, has an oncogenic function in LUAD and might be used as a new early diagnostic biomarker for LUAD.
Group Animation Motion Capture Method Based on Virtual Reality Technology
Authors: Zhang Songlin , Xun Wei
Published: June 2022

In order to improve the group animation motion capture effect and enhance the design technology of group animation, this paper studies the method of group animation motion capture combined with virtual reality technology. This paper constructs a crowd motion capture system based on virtual reality technology and describes the attributes by organizing crowd profiles of different levels and structures. Moreover, this paper conducts collaborative modeling of multiple attributes and constructs a model based on structured interactive attributes. The strength of the model is that it takes into account scene scale, chaos, and crowding properties to effectively characterize the potential interactions of group movement patterns. Combined with the simulation research, it can be seen that the group animation motion capture method based on virtual reality technology proposed in this paper can play an important role in group animation motion capture and animation design.
Design of Remote Real-Time Monitoring and Control Management System for Smart Home Equipment Based on Wireless Multihop Sensor Network
Authors: Su Chen , Chen Wenting
Published: June 2022

With the intensification of the pace of modern urban life and the increase of work pressure, people have higher requirements for the safety and comfort of home. However, the rapid development of Internet of Things technology, wireless communication technology, embedded technology, and data fusion technology has made this desire possible, thus making intelligent and safe. Using wireless sensor network, intelligent home system can realize the real-time collection of object location and state information, remote operation of home equipment, as well as the monitoring of the information of personnel activities, etc. However, how to efficiently analyze and integrate these information to be applied to the intelligent home system is one of the problems that need to be solved; further study of the smart home system of personal behavior identifies fire monitoring and remote monitoring of mining applications. Such information collection and integration of technology and method are given based on wireless sensor network transfer of key technologies; intelligent home security monitoring system based on Bayesian networks is proposed and a card. According to the theoretical fire monitoring method, and based on the Bayesian belief network personal behavior identification model, this paper provides the theory and method for the remote safety monitoring and control in the intelligent home environment. In this paper, based on the multisensor data fusion of smart home security, real-time monitoring alarm platform is built. Through the multisensor detection module for the home fire gas human infrared monitoring, the detected data is transmitted to the data fusion center for processing; processed results are uploaded to the cloud through the Internet. When abnormal conditions occur, users can log in to the mobile phone client to view abnormal alarm results.
The Modular Design of an English Pronunciation Level Evaluation System Based on Machine Learning
Authors: Han Xue , Huwan Trip
Published: June 2022

To improve the accuracy of English pronunciation level evaluation, we study the modularization of the English pronunciation level evaluation system unfolding based on machine learning. The S3C2440A chip is used as the main processor of the system, and the spoken English recordings are sent to the evaluation module through the speech upload module. In the evaluation module, the pronunciation signal is filtered by the multilayer wavelet feature scale transformation method, and the intonation, speed, pitch, rhythm, and emotion features are decomposed and extracted. The test results show that the misjudgment rate of different mispronunciations is less than 1% when the system is used to evaluate the English pronunciation level, which proves that it has high evaluation accuracy. In-depth study of speech recognition related theories, speech scoring, and pronunciation correction algorithms are discussed, and an assisted learning system based on AP scoring method and pronunciation resonance peak comparison technology is proposed for the problem of inaccurate pronunciation scoring and lack of effective feedback of speech recognition technology applied to oral learning. The English pronunciation training system has achieved the expected pronunciation following of English phonetic symbols and words, real-time pronunciation. The English pronunciation training system has achieved all basic functions such as pronunciation following, real-time pronunciation evaluation, and pronunciation correction of English phonemes and works as expected. After testing, the system has achieved high accuracy in pronunciation scoring, and the similarity with experts’ scoring is over 90% for vowel and word pronunciation; the efficiency of pronunciation correction reaches 80%, which can improve learners’ pronunciation level to a certain extent.