bluuebunny/crossref_metadata_2025 huggingface dataset:
Application and Feasibility Study of Integrated Nursing Information Construction in Nephrology Nursing
Authors: Jiang Liyan , Xie Qiaoling , Chen Lingwei
Published: January 2022

With the continuous deepening of medical reforms and the continuous attempts and explorations of various management models, the traditional health care model is undergoing tremendous changes, and patients’ needs for medical institutions are becoming more and more comprehensive. Medical institutions are meeting the needs of providing medical services to patients at the same time. It is even more necessary to change our thinking and enhance the service concept. This article is based on case-based deep learning hospital nursing business process reengineering and the application and feasibility study of integrated nursing information construction in nephrology nursing. This article uses the literature analysis method, the social survey method, and other methods to discuss the construction of integrated nursing information. On the one hand, the content of this article uses the concept of process reengineering to analyze the current development status and existing problems of the hospital care industry and find countermeasures to solve problems. On the other hand, the main research content of this article is the construction of integrated nursing information and its analysis of the application and feasibility of nursing in the nephrology department. At the same time, under the background of the rapid development of the mobile Internet, we will carry out extended thinking on the continuous transformation of the construction of nursing information. According to the survey results, 87.5% of patients in the nephrology department are dissatisfied with the current hospital’s work efficiency, and 85.7% of the nursing staff in the nephrology department are generally satisfied with the information management of the current department. After the implementation of the hospital information integration system, patient satisfaction is as high as 98.2%, and the satisfaction of medical staff reached 94.2%. The construction of integrated nursing information has played a great role in the application of nephrology nursing.
Three-Dimensional Biomechanical Finite Element Analysis of Lumbar Disc Herniation in Middle Aged and Elderly
Authors: Wan Shiyuan , Xue Bin , Xiong Yanhao
Published: January 2022

Lumbar intervertebral disc protrusion disease refers to the degeneration of intervertebral disc, rupture of fibrous ring, nucleus pulpous protrusion and stimulation or compression of nerve root. The import command in Mimics medical 3D reconstruction software was used to erase the irrelevant image data and obtain vertebral body images. The original 3D model of each vertebral body was built by 3D computing function. A three-dimensional finite element model was established to analyze the effect of different surgical methods on the mechanical distribution of the spine after disentomb. The stress distribution of the spine, intervertebral disc, and left and right articular cartilage at L4/L5 stage and the position shift of the fourth lumbar vertebra were analyzed under 7 working conditions of vertical, forward flexion, extension, left and right flexion, and left and right rotation. The results showed that the established model was effective, and the smaller the area of posterior laminar decompression was, the lesser the impact on spinal stability was. The PELD treatment of lumbar disc herniation had little impact on spinal biomechanics and could achieve good long-term biomechanical stability. Combining the clinical experiment method and finite element simulation, using the advantages of finite element software to optimize the design function can provide guidance for the design and improvement of medical devices and has important significance for the study of clinical mechanical properties and biomechanics.
The Application Effect of Traditional Chinese Medicine Nursing on General Anesthesia Combined with Epidural Anesthesia and Electric Resection for the Treatment of Bladder Cancer and Its Influence on Tumor Markers
Authors: Wu Yan , Zhang Zhenna , Liu Yangfan , Shi Guangwen , Ding Xuehai
Published: January 2022

Objective. To explore the effects of traditional Chinese medicine nursing on general anesthesia combined with epidural anesthesia and electric resection to treat bladder cancer and its influence on tumor markers. Methods. A total of 160 patients with non-muscle-invasive bladder cancer who underwent general anesthesia combined with epidural anesthesia and resection were included in this study. The patients were divided into control group (n = 80) and study group (n = 80) according to the random number table method. The control group received hydroxycamptothecin bladder perfusion therapy, and the study group received traditional Chinese medicine nursing combined with hydroxycamptothecin bladder perfusion therapy. The clinical efficacy, three-year cumulative survival rate, and postoperative recurrence rate of the two groups of patients were detected. The levels of tumor markers including vascular endothelial growth factor (VECF) and bladder tumor antigen (BTA) before and after treatment were also tested. The immune function, inflammatory factor levels, and quality of life of the two groups before and after treatment were evaluated. Results. The total effective rate of the study group (83.75%) was significantly higher than that of the control group (58.75%). After treatment, the serum VEGF and BTA levels, inflammatory factors interleukin-6 (IL-6), C-reactive protein (CRP), and tumor necrosis factor-α (TNF-α) levels of the two groups of patients decreased, and the decrease in the study group was more significant than that in the control group

P
<
0.05

. After treatment, the levels of CD3+, CD4+, and CD4+/CD8+ in the two groups increased

P
<
0.05

, and the increase in the study group was more significant than that in the control group

P
<
0.05

. After treatment, the CD8+ levels of the two groups of patients decreased

P
<
0.05

, and the decrease in the study group was more significant than that in the control group

P
<
0.05

. After treatment, the quality-of-life scores in both groups increased

P
<
0.05

, and the increase in the study group was even more significant

P
<
0.05

. Conclusion. Traditional Chinese medicine nursing has significant clinical effects on the treatment of bladder cancer with general anesthesia combined with epidural anesthesia and electric resection. It can more effectively prevent the risk of recurrence of bladder cancer after surgery, significantly improve the quality of life, improve immune system function, regulate the levels of VECF and BTA, effectively reduce the level of serum inflammatory factors, inhibit tumor progression, and reduce tumor viability.
Hypothalamic Lipoma: Outcome of an Intracranial Developmental Lesion
Authors: Alkhaibary Ali , Alsubaie Noura , Alharbi Ahoud , Alghanim Noor , Baydhi Laila , Khairy Sami , Musawnaq Fahd , Alarifi Abdulaziz , Alwohaibi Mohammed , Aloraidi Ahmed , Almuntashri Makki , Alkhani Ahmed
Published: January 2022

Background. Hypothalamic lipomas are benign developmental lesions that tend to be discovered incidentally. This article describes the radiological features, outcome, and the postulated theories behind hypothalamic lipomas development. Methods. The electronic archive of neurosurgery was retrospectively reviewed. All patients with a neuroradiological diagnosis of hypothalamic lipoma, between 2005 and 2020, were included. Results. Out of 246 patients with intracranial lipomas, a total of six patients with hypothalamic lipomas have been identified. On computed tomography images, one of the hypothalamic lipomas demonstrated calcification. On magnetic resonance imaging, peripheral enhancement after contrast administration was noted in one of the lesions. Considering the benign nature of the lesions, neurosurgical intervention was not indicated. Conclusion. The majority of patients with hypothalamic lipomas are asymptomatic and undergo brain imaging for other indications. Although uncommon, such developmental lesions can be identified in the general population, especially with the advancement of neuroimaging techniques.
Deep Learning Application for Effective Classification of Different Types of Psoriasis
Authors: Aijaz Syeda Fatima , Khan Saad Jawaid , Azim Fahad , Shakeel Choudhary Sobhan , Hassan Umer
Published: January 2022

Psoriasis is a chronic inflammatory skin disorder mediated by the immune response that affects a large number of people. According to latest worldwide statistics, 125 million individuals are suffering from psoriasis. Deep learning techniques have demonstrated success in the prediction of skin diseases and can also lead to the classification of different types of psoriasis. Hence, we propose a deep learning-based application for effective classification of five types of psoriasis namely, plaque, guttate, inverse, pustular, and erythrodermic as well as the prediction of normal skin. We used 172 images of normal skin from the BFL NTU dataset and 301 images of psoriasis from the Dermnet dataset. The input sample images underwent image preprocessing including data augmentation, enhancement, and segmentation which was followed by color, texture, and shape feature extraction. Two deep learning algorithms of convolutional neural network (CNN) and long short-term memory (LSTM) were applied with the classification models being trained with 80% of the images. The reported accuracies of CNN and LSTM are 84.2% and 72.3%, respectively. A paired sample T-test exhibited significant differences between the accuracies generated by the two deep learning algorithms with a

p
<
0.001

. The accuracies reported from this study demonstrate potential of this deep learning application to be applied to other areas of dermatology for better prediction.
Analysis on the Influence of Students’ Health Quality Based on Intelligent Optimization of Sports Facilities and Equipment
Authors: Zhou Qi
Published: January 2022

Physical health promotion has always been a way for schools to pay close attention to and devote resources to their students’ development, physical fitness, and social adaptability. To promote the improvement of students’ overall physical quality, we must begin with the foundation and school physical education. This study proposes an improved K-means algorithm based on an analysis of the influencing factors of intelligent optimization of sports facilities and equipment on students’ health quality. Clustering analysis is carried out based on two groups of data classified as boys and girls, using the improved K-means algorithm. The findings reveal that the average change trend of physical fitness test items in each male cluster is generally similar, with a moderate change. The change in the average score of physical fitness test items for each cluster of girls in the group showed two distinct valleys, and the trend was complicated. This necessitates schools to invest funds to construct venues and purchase equipment in order to increase the number of sporting events.
A Lightweight Flow Feature-Based IoT Device Identification Scheme
Authors: Du Ruizhong , Wang Jingze , Li Shuang
Published: January 2022

Internet of Things (IoT) device identification is a key step in the management of IoT devices. The devices connected to the network must be controlled by the manager. For this purpose, many schemes are proposed to identify IoT devices, especially the schemes working on the gateway. However, almost all researchers do not pay close attention to the cost. Thus, considering the gateway’s limited storage and computational resources, a new lightweight IoT device identification scheme is proposed. First, the DFI (deep/dynamic flow inspection) technology is utilized to efficiently extract flow-related statistical features based on in-depth studies. Then, combined with symmetric uncertainty and correlation coefficient, we proposed a novel filter feature selection method based on NSGA-III to select effective features for IoT device identification. We evaluate our proposed method by using a real smart home IoT data set and three different ML algorithms. The experimental results showed that our proposed method is lightweight and the feature selection algorithm is also effective, only using 6 features can achieve 99.5% accuracy with a 3-minute time interval.
Coordinated Development of Population, Resources, Environment, Economy, and Society under Engineering Management Combined with Bilevel Optimization Model
Authors: Chen Kai , Chen Yilin
Published: January 2022

The in-depth analysis of the strategies for the coordinated and continuous development of population, resources, environment, economy, and society based on the engineering management model is highly important for the sustainable development of the regional economy and society. In this article, a population-economy-resources-environment bilevel optimization model is established based on the economic and social development in a provincial region. The method of bilevel optimization is adopted to introduce the specific bilevel optimization model. The concept and objectives of the bilevel optimization are explained, and its corresponding technical applications are described. In this article, the development in coordinated economic and social development of population, resources, and environment is analyzed and compared based on the bilevel optimization model. In particular, the evolution and changes before and after the implementation of engineering management are studied. Through the results, it can be observed that after the implementation of project management, the coefficient of industry location has presented a downward trend, and the coordinated development of population, resources, environment, economy, and society has become more coordinated.
An Uncommon Case of Splenic Abscess with Gangrenous Gas Necrosis
Authors: Basukala Sunil , Pathak Bishnu Deep , Mainali Gaurab , Rayamajhi Bikash Bahadur , Mishra Raveesh , Thapa Narayan
Published: January 2022

Splenic abscess is a rare clinical entity with diagnostic challenges. Though rare, it is potentially a life-threatening clinical condition with high mortality reaching more than 70%. The common signs and symptoms include the triad of fever, left upper quadrant tenderness, and leukocytosis. Early diagnosis, however, can readily be made by the combination of clinical features, abdominal ultrasonography (USG), and computed tomography (CT). The management of splenic abscess includes medical therapy, CT-guided percutaneous aspiration, and splenectomy. We, hereby, present a rare case of splenic abscess with gangrenous gas necrosis, who underwent splenectomy.
Research Trends and Hotspots of Q Fever Research: A Bibliometric Analysis 1990‐2019
Authors: Farooq Muhammad , Khan Aman Ullah , El-Adawy Hosny , Mertens-Scholz Katja , Khan Iahtasham , Neubauer Heinrich , Ho Yuh-Shan
Published: January 2022

Q fever is a worldwide distributed zoonosis caused by Coxiella burnetii, a Gram‐negative bacterium. Despite existence of large amount of research data on the developments related to Q fever, no bibliometric analysis of this subject is available to our knowledge. Bibliometric studies are an essential resource to track scholarly trends and research output in a subject. This study is aimed at reporting a bibliometric analysis of publications related to Q fever (2,840 articles published in the period 1990‐2019) retrieved from Science Citation Index Expanded, an online database of Clarivate Analytics Web of Science Core Collection. Data was retrieved using keywords “Q fever” or “Coxiella burnetii” in title, abstract, and author keywords to describe important research indicators such as the kind and language of articles, the most important publications, research journals and categories, authors, institutions, and the countries having the most significant contribution to this subject. Finally, the emerging areas in field of diagnosis, host range, and clinical presentation were identified. Word cluster analysis of research related to Q fever revealed that major focus of research has been on zoonosis, seroprevalence, laboratory diagnosis (mainly using ELISA and PCR), clinical manifestations (abortion and endocarditis), vectors (ticks), and hosts (sheep, goat, and cattle). This bibliometric study is intended to visualize the existing research landscape and future trends in Q fever to assist in future knowledge exchange and research collaborations.
Factors Affecting Adenoma Risk Level in Patients with Intestinal Polyp and Association Analysis
Authors: Dai Ying , Chen Weimin , Xu Xuanfu , Chen Jianqing , Mo Wenhui , Chen Yiming , Xu Shuqi
Published: January 2022

Objective. To explore the factors affecting the adenoma risk level in patients with intestinal polyp and association. Methods. The clinical data of 3,911 patients with intestinal polyp treated in our hospital from January 2018 to January 2021 were retrospectively analyzed, all patients accepted the histopathological examination, their risk of suffering from adenoma was evaluated according to the results of pathological diagnosis, and relevant hazard factors affecting adenoma risk level in them were analyzed by multifactor logistic regression analysis. Results. The results of multifactor logistic analysis showed that male gender, age ≥60 years, number of polyps >3, diameter ≥2 cm, onset at colon, and physiologically tubulovillous adenoma were the hazard factors causing high-grade adenoma risk in patients with intestinal polyp. Conclusion. There are many risk factors causing high-grade adenoma in patients with intestinal polyp, and therefore, the screening for high-risk population shall be enhanced to reduce the potential of carcinomatous change in such patients.
An Efficient Certificate-Based Aggregate Signature Scheme for Internet of Drones
Authors: Khan Muhammad Asghar , Ullah Insaf , Alsharif Mohammed H. , Alghtani Abdulaziz H. , Aly Ayman A. , Chen Chien-Ming
Published: January 2022

Internet of drones (IoD) is a network of small drones that leverages IoT infrastructure to deliver real-time data communication services to users. On the one hand, IoD is an excellent choice for a number of military and civilian applications owing to key characteristics like agility, low cost, and ease of deployment; on the other hand, small drones are rarely designed with security and privacy concerns in mind. Intruders can exploit this vulnerability to compromise the security and privacy of IoD networks and harm the information exchange operation. An aggregate signature scheme is the best solution for resolving security and privacy concerns since multiple drones are connected in IoD networks to gather data from a certain zone. However, most aggregate signature schemes proposed in the past for this purpose are either identity-based or relied on certificateless cryptographic methods. Using these methods, a central authority known as a trusted authority (TA) is responsible for generating and distributing secret keys of every user. However, the key escrow problem is formulated as knowing the secret key generated by the TA. These methods are hampered by key distribution issues, which restrict their applicability in a variety of situations. To address these concerns, this paper presents a certificate-based aggregate signature (CBS-AS) scheme based on hyperelliptic curve cryptography (HECC). The proposed scheme has been shown to be both efficient in terms of computation cost and unforgeable while testing its toughness through formal security analysis.
The Diagnostic Efficacy of the American College of Radiology (ACR) Thyroid Imaging Report and Data System (TI-RADS) and the American Thyroid Association (ATA) Risk Stratification Systems for Thyroid Nodules
Authors: Chen Fei , Sun Yungang , Chen Guanqi , Luo Yuqian , Xue Guifang , Luo Kongmei , Ma Haoyuan , Yao Jiaxin , Zhu Zhangtian , Li Guanbin , Li Qiang
Published: January 2022

Background. This study is aimed at evaluating the diagnostic efficacy of ultrasound-based risk stratification for thyroid nodules in the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) and the American Thyroid Association (ATA) risk stratification systems. Methods. 286 patients with thyroid cancer were included in the tumor group, with 259 nontumor cases included in the nontumor group. The ACR TI-RADS and ATA risk stratification systems assessed all thyroid nodules for malignant risks. The diagnostic effect of ACR and ATA risk stratification system for thyroid nodules was evaluated by receiver operating characteristic (ROC) analysis using postoperative pathological diagnosis as the gold standard. Results. The distributions and mean scores of ACR and ATA rating risk stratification were significantly different between the tumor and nontumor groups. The lesion

diameter
>
1

 cm subgroup had higher malignant ultrasound feature rates detected and ACR and ATA scores. A significant difference was not found in the ACR and ATA scores between patients with or without Hashimoto’s disease. The area under the receiver operating curve (AUC) for the ACR TI-RADS and the ATA systems was 0.891 and 0.896, respectively. The ACR had better specificity (0.90) while the ATA system had higher sensitivity (0.92), with both scenarios having almost the same overall diagnostic accuracy (0.84). Conclusion. Both the ACR TI-RADS and the ATA risk stratification systems provide a clinically feasible thyroid malignant risk classification, with high thyroid nodule malignant risk diagnostic efficacy.
Understandability, actionability and suitability of educational videos on dietary management for hypertension
Authors: Ab Hamid Mohd Ramadan , Mohd Yusof Nur Dalia Binti , Buhari Siti Sabariah
Published: January 2022

Background:

Educational video is a productive means to advocate lifestyle modifications such as changes in the dietary routine. This study assesses the understandability, actionability and suitability of newly developed educational videos aimed at encouraging dietary adjustments among hypertension patients.

Method:

In all, 183 participants were recruited via convenience sampling and rated the understandability, actionability and suitability of the videos using the Patient Education Materials Assessment Tool for Audio-Visual material (PEMAT-A/V) and the Suitability Assessment of Materials (SAM) scale.

Results:

Eleven videos were developed from five main topics related to the dietary management of hypertension. Participants agreed that all videos were highly understandable, actionable and suitable for use as educational tools, with scores of more than 85%, 89% and 80%, respectively.

Conclusion/Implications:

Overall, the newly developed videos gained high scores for understandability, actionability and suitability. This finding reflects positive acceptance of the videos among various healthcare professionals and patients with hypertension.
Urban Development and the Making of Frontiers in/from Addis Ababa/Finfinne, Ethiopia
Authors: Debelo Asebe Regassa , Soboka Teshome Emana
Published: January 2022

Frontier making in Ethiopia has historical roots from the formation of the modern Ethiopian state in the late-19th century through wars of conquest. The conquest, which was inspired by political and economic motivations of the highland Christian kingdom, used the notion of a “civilizing mission”—civilizing the “backward” and “underdeveloped” people, and “underutilized” spaces—through imposition of an imperial state system and Orthodox Christianity. The foundation and horizontal expansion of Addis Ababa or Finfinne by displacing Indigenous inhabitants was part of the state building project under successive regimes. Over the last century and a half, the city has continued its unchecked expansion in a process involving multilayered actors whose interests overlapped in terms of grabbing the land they considered “underutilized.” More specifically, the last three decades evince commoditization of farmlands, grazing areas, and cultural and sacred spaces through land lease, which eventually dissolve existing customary systems, values, and practices. This paper critically analyzes the dynamics of frontier making in or from Addis Ababa or Finfinne, the political economy behind such unchecked frontier expansion and how it activated the power of resistance in 2014. The paper concludes that frontier making in or from Addis Ababa through dispossession of Oromo farmers has been part of the broader political establishment in Ethiopia and should be viewed within the same lens.
Examining the Association between Racialized Economic Threat and White Suicide in the United States, 2000–2016
Authors: Rambotti Simone
Published: January 2022

Suicide is steadily rising. Many blamed worsening economic conditions for this trend. Sociological theory established clear pathways between joblessness and suicide focused on status threat, shame, and consequent disruption of social relationships. However, recent empirical research provides little support for a link between unemployment and suicide. I attempt to reconcile this contradiction by focusing on white suicide and white employment-to-population ratio. Whiteness is not just a default category but a pervasive ideology that amplifies the effects of status loss. The white employment-to-population ratio represents a form of racialized economic threat and accounts for discouraged workers who have exited the labor force. I use longitudinal hybrid models with U.S. state-level data, 2000 to 2016, and find that decreasing employment is associated with increasing suicide among the white population and white men. I discuss this study’s contributions to the literature on suicide and joblessness and the emerging scholarship on whiteness and health.
Opportunities and challenges in the analysis of the Multilingual Assessment Instrument for Narratives (MAIN)
Authors: De Cat Cécile
Published: January 2022

The development of the Multilingual Assessment Instrument for Narratives (MAIN) has no doubt contributed to prompting a renewed interest in children’s narratives. This carefully controlled test of narrative abilities elicits a rich set of measures spanning multiple linguistic domains and their interaction, including lexis, morphosyntax, discourse-pragmatics, as well as various aspects of narrative structure, communicative competence, and language use (such as code-switching). It is particularly well suited to the study of discourse cohesion, referential adequacy and informativeness, and of course to the study of narrative structure and richness, and the acquisition of a more formal or literary register. In this commentary article, I reflect on the five empirical papers included in the special issue. I focus on methodological challenges for the analysis of narratives and identify outstanding questions.
Trust, forgiveness, and peace: The influence of adolescent social identity in a setting of intergroup conflict
Authors: Taylor Laura K. , O’Driscoll Dean , Merrilees Christine E. , Goeke-Morey Marcie , Shirlow Peter , Cummings E. Mark
Published: January 2022

Following the signing of peace agreements, post-accord societies often remain deeply divided across group lines. There is a need to identify antecedents of youth’s support for peace and establish more constructive intergroup relations. This article explored the effect of out-group trust, intergroup forgiveness, and social identity on support for the peace process among youth from the historic majority and minority communities in Belfast, Northern Ireland. The sample comprised 667 adolescents (49% male; M = 15.74, SD = 1.99 years old) across two time points. The results from the structural equation model suggested that out-group trust was related to intergroup forgiveness over time, while forgiveness related to later support for the peace process. Strength of in-group social identity differentially moderated how out-group trust and intergroup forgiveness related to later support for peace among youth from the conflict-related groups (i.e., Protestants and Catholics). Implications for consolidating peace in Northern Ireland are discussed, which may be relevant to other settings affected by intergroup conflict.
Calculating Expected Value of Sample Information Adjusting for Imperfect Implementation
Authors: Heath Anna
Published: January 2022

Background

The expected value of sample information (EVSI) calculates the value of collecting additional information through a research study with a given design. However, standard EVSI analyses do not account for the slow and often incomplete implementation of the treatment recommendations that follow research. Thus, standard EVSI analyses do not correctly capture the value of the study. Previous research has developed measures to calculate the research value while adjusting for implementation challenges, but estimating these measures is a challenge.

Methods

Based on a method that assumes the implementation level is related to the strength of evidence in favor of the treatment, 2 implementation-adjusted EVSI calculation methods are developed. These novel methods circumvent the need for analytical calculations, which were restricted to settings in which normality could be assumed. The first method developed in this article uses computationally demanding nested simulations, based on the definition of the implementation-adjusted EVSI. The second method is based on adapting the moment matching method, a recently developed efficient EVSI computation method, to adjust for imperfect implementation. The implementation-adjusted EVSI is then calculated with the 2 methods across 3 examples.

Results

The maximum difference between the 2 methods is at most 6% in all examples. The efficient computation method is between 6 and 60 times faster than the nested simulation method in this case study and could be used in practice.

Conclusions

This article permits the calculation of an implementation-adjusted EVSI using realistic assumptions. The efficient estimation method is accurate and can estimate the implementation-adjusted EVSI in practice. By adapting standard EVSI estimation methods, adjustments for imperfect implementation can be made with the same computational cost as a standard EVSI analysis.

Highlights

Standard expected value of sample information (EVSI) analyses do not account for the fact that treatment implementation following research is often slow and incomplete, meaning they incorrectly capture the value of the study. Two methods, based on nested Monte Carlo sampling and the moment matching EVSI calculation method, are developed to adjust EVSI calculations for imperfect implementation when the speed and level of the implementation of a new treatment depends on the strength of evidence in favor of the treatment. The 2 methods we develop provide similar estimates for the implementation-adjusted EVSI. Our methods extend current EVSI calculation algorithms and thus require limited additional computational complexity.
Dynamic performance improvement of wind-diesel power system through robust sliding mode control of hybrid energy storage system
Authors: Afzal Thoker Zahid , Ahmad Lone Shameem
Published: January 2022

Off-grid users can be provided with electricity via a hybrid integration of wind power generators and a diesel system functioning as a backup supply. However, due to wind power fluctuations and rapid load changes, system voltage and frequency variances may exceed permitted limits, resulting in aberrant system behavior. Therefore, to improve the dynamic performance of the wind-diesel power system, a hybrid energy storage system (HESS) made of battery and superconducting magnetic energy storage is installed with the system via a converter interface. Based on the switching manifold design, a sliding mode controller with the super-twisting feature is developed over the hybrid energy storage system (HESS) to carry out the required amount of power exchanges with the system accomplished through the control of converter operation. Lyapunov stability analysis is conducted to guarantee the asymptotic stability of the system. MATLAB simulations are performed to validate the improved performance of the system with the proposed scheme.
An improved LB method for predicting dynamic characteristics of Vertical Axis Wind Turbine airfoils
Authors: Li Shoutu , Wang Qing , Yang Congxin
Published: January 2022

One of the important challenges for Vertical Axis Wind Turbine (VAWT) is to fully understand its dynamic characteristics in different operating conditions. Meanwhile, it is necessary to seek a fast and accurate method to evaluate the dynamic characteristic of VAWT. In this study, we improve the LB model by considering the operating principle of VAWT to study the dynamic characteristics of the dedicated and commonly used VAWT airfoils in different operating conditions. The results show that the improved LB model is suitable for simulating the dynamic characteristic of VAWT with a thick airfoil. Although the asymmetric airfoil shows the higher lift coefficient, their dynamic characteristic appears huge fluctuation as the increases of tip speed ratio. Moreover, at a low tip speed ratio, the advantages of the asymmetric airfoil are not obvious. While the dynamic characteristic of the symmetric airfoil is relatively stable with the variation of tip speed ratio.
Design and analysis of a segmented blade for a 50 MW wind turbine rotor
Authors: Escalera Mendoza Alejandra S , Yao Shulong , Chetan Mayank , Griffith Daniel Todd
Published: January 2022

Extreme-size wind turbines face logistical challenges due to their sheer size. A solution, segmentation, is examined for an extreme-scale 50 MW wind turbine with 250 m blades using a systematic approach. Segmentation poses challenges regarding minimizing joint mass, transferring loads between segments and logistics. We investigate the feasibility of segmenting a 250 m blade by developing design methods and analyzing the impact of segmentation on the blade mass and blade frequencies. This investigation considers various variables such as joint types (bolted and bonded), adhesive materials, joint locations, number of joints and taper ratios (ply dropping). Segmentation increases blade mass by 4.1%–62% with bolted joints and by 0.4%–3.6% with bonded joints for taper ratios up to 1:10. Cases with large mass growth significantly reduce blade frequencies potentially challenging the control design. We show that segmentation of an extreme-scale blade is possible but mass reduction is necessary to improve its feasibility.
Lunar Cycle Influences Production of Tilapia (Oreochromis spp) Eggs in an Intensive Outdoor Production System in the Tropics
Authors: Perea Miguel F. , Perdomo Daniel A. , Corredor Zenaida A. , González Mario , Hernandez-Fonseca Hugo , Perea Fernando P.
Published: January 2022

A robust body of evidence has demonstrated that the lunar cycle plays an important role in the reproduction of fish living in natural environments. However, little is known about the influence of the moon on tilapia reproductive activity in intensive fish farming systems. This study aims to evaluate the influence of the lunar cycle on the reproductive performance of tilapias in an intensive outdoor tropical production system in Latin America. Records of two tilapia strains (Nile tilapia [ Oreochromis niloticus; n = 75] and Red tilapia [ Oreochromis spp.; n = 1335]) reared in concrete tanks in a commercial fish farm were analyzed. Over a 3-year period, 60,136 captures were made in intervals of 12 to 14 days and 6,600 females were manually spawned. The number of females spawned and the volume of eggs collected from each tank ( n = 9) were recorded. Data was analyzed by the general linear model and means were compared by least squares means method. A very slight or no variation was observed when the lunar cycle was split into two halves (crescent and waning). The proportions of females spawned and the volume of eggs per spawned female and per female in the tank varied considerably across the eight periods of the lunar cycle, with greater values in the waning than in the crescent phase. A significantly greater proportion of tilapia spawned and yielded more eggs around the full moon than around the new moon and remaining days of the lunar cycle. The moon cycle affected the reproductive activity of tilapia, which were more reproductively active around the full moon and most of the waning phase.
A neurophenomenological theory of the three worlds
Authors: Facco Enrico
Published: January 2022

The Theory of the Three Worlds (TTW) was introduced by Popper and Eccles in 1977 in the attempt to overcome the narrow limits of materialism and determinism in the comprehension of mind–brain and inner–outer world relationships. TTW involved huge epistemological implications and raised strong criticism. Here, a new neurophenomenological version of the TTW is introduced, meeting previous criticism to the TTW. Hopefully, it may be a step toward comprehension of the mind–brain–world relationship.
Recruitment Through AI in Selected Indian Companies
Authors: Mehrotra Siddhi , Khanna Akanksha
Published: January 2022

Artificial intelligence (AI) is being used very pervasively with the ever-evolving and competitive business world and has become the 21st-century buzzword. Countless innovations in technology have pushed businesses to make their value creation processes more effective and customer friendly. Digitization has played a significant role in reshaping the different human resource functions and processes. This study aims to elucidate the acceptance of automation in human resource management by employers and the degree to which recruiters can use AI to hire people. The study incorporates a thematic analysis approach, and the data is collected from primary sources by conducting semi-structured interviews with four experts working in IT organizations. This research would be useful for recruiters and HR managers to consider the fields of AI implementation and management to take advantage of cost-cutting technical developments.
Comparing Coding Viewing and Recording Methods to Quantify Embedded Instruction Learning Trials
Authors: Martin Mackenzie K. , Snyder Patricia A. , Reichow Brian , Bishop Crystal D.
Published: January 2022

The purpose of this study was to examine the comparability of counts of embedded instruction learning trials when different methods of viewing and recording direct behavioral observations were used. In 13 classrooms, while videotaping embedded instruction implementation for a larger randomized controlled efficacy trial was occurring, teachers’ implementation of trials was coded in situ using pencil-and-paper methods. Videos were later coded using computer-assisted methods. Dependent-samples t tests, Pearson product-moment correlation coefficients, and additional score agreement calculations were conducted. Statistically significant differences were found in the estimates of trial frequency. Correlational analyses showed positive and strong relationships between the coding methods. Coding agreement was higher across the entire observation versus during 10-min continuous event blocks. In situ coding took significantly less time than video coding. Results provide empirical evidence for the advantages and disadvantages of common viewing and recording methods for quantifying behavior as part of systematic observation systems.
Impact response of a thin shallow doubly curved linear viscoelastic shell rectangular in plan
Authors: Shitikova Marina V
Published: January 2022

In this paper, we consider the problem on a transverse impact of a viscoelastic sphere upon a viscoelastic shallow doubly curved shell with rectangular platform, the viscoelastic features of which are defined via the fractional derivative standard linear solid models; in so doing, only Young’s time-dependent operators are preassigned, while the bulk moduli are considered to be constant values, since the bulk relaxation for the majority of materials is far less than the shear relaxation. Shallow panel’s displacement subjected to the concentrated contact force is found by the method of expansion in terms of eigen functions, and the sphere’s displacement under the action of the contact force, which is the sum of the shell’s displacement at the place of contact and local bearing of impactor and target’s materials, is defined from the equation of motion of the material point with the mass equal to sphere’s mass. Within the contact domain, the contact force is defined by the modified Hertzian contact law with the time-dependent rigidity function. For decoding the viscoelastic operators involving the problem under consideration, the algebra of Rabotnov’s fractional operators is employed. A nonlinear integro-differential equation is obtained either in terms of the contact force or in the local bearing of the target and impactor materials. Using the duration of contact as a small parameter, approximate analytical solutions have been found, which allow one to define the key characteristics of impact process.
On solvability of initial boundary-value problems of micropolar elastic shells with rigid inclusions
Authors: Eremeyev Victor A , Lebedev Leonid P , Konopińska-Zmysłowska Violetta
Published: January 2022

The problem of dynamics of a linear micropolar shell with a finite set of rigid inclusions is considered. The equations of motion consist of the system of partial differential equations (PDEs) describing small deformations of an elastic shell and ordinary differential equations (ODEs) describing the motions of inclusions. Few types of the contact of the shell with inclusions are considered. The weak setup of the problem is formulated and studied. It is proved a theorem of existence and uniqueness of a weak solution for the problem under consideration.
Immediate and Sustained Effects of Neurofeedback and Working Memory Training on Cognitive Functions in Children and Adolescents with ADHD: A Multi-Arm Pragmatic Randomized Controlled Trial
Authors: Hasslinger John , Jonsson Ulf , Bölte Sven
Published: January 2022

Objective:

To evaluate the effects of neurocognitive training methods on targeted cognitive functions in children and adolescent with ADHD.

Method:

A pragmatic four-arm randomized controlled trial compared two types of neurofeedback (Slow Cortical Potential and Live Z-score) and Working-memory training (WMT) with treatment as usual. N = 202 participants with ADHD aged 9 to 17 years were included. A battery of cognitive function tests was completed pretreatment, posttreatment, and after 6-months.

Results:

The effects of WMT on spatial and verbal working-memory were superior to neurofeedback and treatment as usual at posttreatment, but only partially sustained at follow-up. No other consistent effects were observed. We found no clear indications that effects were moderated by ADHD presentation, ongoing medication, age, or sex.

Conclusion:

The sustained effects of neurocognitive training on cognitive functioning in children and adolescents with ADHD may be limited. Future research should focus on more personalized forms of neurocognitive training.
“Late-onset” ADHD symptoms in young adulthood: Is this ADHD?
Authors: Riglin Lucy , Wootton Robyn E. , Livingston Lucy A. , Agnew-Blais Jessica , Arseneault Louise , Blakey Rachel , Agha Sharifah Shameem , Langley Kate , Collishaw Stephan , O’Donovan Michael C. , Davey Smith George , Stergiakouli Evie , Tilling Kate , Thapar Anita
Published: January 2022

Objective: We investigated whether “late-onset” ADHD that emerges in adolescence/adulthood is similar in risk factor profile to: (1) child-onset ADHD, but emerges later because of scaffolding/compensation from childhood resources; and (2) depression, because it typically onsets in adolescence/adulthood and shows symptom and genetic overlaps with ADHD. Methods: We examined associations between late-onset ADHD and ADHD risk factors, cognitive tasks, childhood resources and depression risk factors in a population-based cohort followed-up to age 25 years ( N=4224–9764). Results: Parent-rated late-onset ADHD was like child-onset persistent ADHD in associations with ADHD polygenic risk scores and cognitive task performance, although self-rated late-onset ADHD was not. Late-onset ADHD was associated with higher levels of childhood resources than child-onset ADHD and did not show strong evidence of association with depression risk factors. Conclusions: Late-onset ADHD shares characteristics with child-onset ADHD when parent-rated, but differences for self-reports require investigation. Childhood resources may delay the onset of ADHD.
The impact of concealable chronic health conditions on college students’ academic outcomes: A two-wave study
Authors: Shrout M Rosie , Weigel Daniel J
Published: January 2022

College students ( N = 125) with concealable chronic health conditions (CCHCs) completed online surveys at the beginning and end of the semester assessing stigma experiences and academic outcomes. Correlations showed stigma, alienation, and lack of campus fit were associated with greater illness-related academic interference ( ps < 0.001), negative academic self-comparison ( ps < 0.001), academic anxiety ( ps < 0.001), academic dissatisfaction ( ps < 0.001), and lower expected grades (except alienation; ps < 0.001–0.03) over time. Hierarchical multiple regressions identified a lack of campus fit as an important predictor across academic outcomes ( ps < 0.001–0.019). Students with CCHCs face health- and stigma-related challenges that can interfere with academic performance.
No trade-offs between news and entertainment: Evidence from online engagement data
Authors: Huang Shengchun , Yang Tian
Published: January 2022

In today’s high-choice media environment, some scholars are concerned that people selectively consume media content based on personal interests and avoid others, which might lead to audience fragmentation across different content genres. Individually, there might be trade-offs between those genres, especially entertainment versus news. This study analyzed a large user engagement dataset (~40,000 users’ comments) collected from the Chinese information application Toutiao, one of the most popular information distribution platforms in China. The results showed that (1) the commenters were not fragmented between content genres, and (2) the users’ news engagement was positively associated with their entertainment engagement. The findings indicate that the availability of high media choices will not reduce the news engagement of those who have strong interest in entertainment. Instead, news engagement might increase alongside the augmentation of the sum of information engagement. Finally, we discussed the differences between relative news engagement and absolute news engagement.
Deletion discussions on Hebrew Wikipedia: Negotiating global and local ideologies
Authors: Leshnick Anat
Published: January 2022

Much research has documented how global technologies and platforms are part of specific cultures and reflect local values. In this study, I examine the case of Hebrew Wikipedia as representative of localization that is neither top-down (producer-driven) nor bottom-up (user-driven); but rather, it is implemented by mid-level, self-selecting bureaucratic administrators in an ongoing process that is driven by their own perceptions of Wikipedia’s mission. Through an analysis of Hebrew Wikipedia’s deletion discussion pages—in which editors decide what information should be excluded from Wikipedia—I demonstrate how national ideology customarily triumphs over the global, communitarian ethos of the Wikipedia project. Even when decisions are aligned with a more “global” agenda, editors still portray their choices as congruent with the national cause through strategic use of depersonalized discourses about Wikipedia’s policies. I thus argue that global, seemingly “neutral” policies can provide a discursive framework that conceals questions about the power of local ideologies.