bluuebunny/crossref_metadata_2025 huggingface dataset:
Determinants of Poor Treatment Adherence among Patients with Type 2 Diabetes and Limited Health Literacy: A Scoping Review
Authors: Pourhabibi Nasrin , Mohebbi Bahram , Sadeghi Roya , Shakibazadeh Elham , Sanjari Mojgan , Tol Azar , Yaseri Mehdi
Published: July 2022

Prevention of complications and successful control of diabetes require preventive and therapeutic measures. Patients’ nonadherence to medication and diet regimens and healthcare protocols is associated with significant therapeutic and economic consequences. The present scoping review aims to identify determinants of poor treatment adherence among patients with type 2 diabetes and limited health literacy in 2021. This scoping review was conducted in five stages: designing a research question, searching and extracting related studies, selecting related studies, tabulating information, and reporting results. Data were collected from six foreign electronic databases (Embase, Science Direct, PubMed, Google Scholar, Scopus, and Web of Science) and four Iranian electronic databases (MagIran, SID, IranDoc, and IranMedex) using keywords “Type 2 diabetes”, “barriers”, “treatment”, “medication”, “adherence”, “non-adherence”, “limited adherence”, and “limited health literacy” from January 2010 to November 2021. From an initial 146 articles, 18 articles were eligible for review. Eighteen studies involving 3925 patients with T2DM from eight countries were included. The prevalence of nonadherence ranged from 42% to 74.3%. Barriers to treatment adherence, which were common among the articles, included economic problems, poor communication with healthcare team, lack of family support, lack of knowledge, misconceptions, and limited health literacy. The results of the present study provided modifiable and nonmodifiable factors affecting treatment adherence among patients with type 2 diabetes. Modifiable factors are essential by performing appropriate interventions with the target group and health professionals.
Big Data Analysis of Marketing User Intelligence Information Based on Deep Learning
Authors: Shen Zhongqi
Published: July 2022

To solve the problem that the explosive growth of data cannot be effectively analyzed, a big data analysis and prediction system based on deep learning is proposed. The systems proposed in this paper optimize the design of circulatory neural networks using an optimization processing strategy in addition to circulatory neural networks based on a distributed parallel processing framework that studies and analyzes disrupted neural networks during the in-depth study. The results are as follows: using the DCNNPS parallel strategy can effectively improve the training speed of the convolutional neural network to a small extent, and the speed can be improved by more than 50%. Compared with the other two, the network optimized by DCNNPS is less sensitive to data growth in the scenario of a large amount of data and is more suitable for processing a large amount of data. Moreover, with the increase of computing nodes, the acceleration effect is more obvious, the acceleration ratio is higher, and the improvement energy is about 70%. It is proved that the system proposed in this paper can process massive data very effectively and make a great contribution to the development of the industry.
Modified Oscillation Results for Advanced Difference Equations of Second-Order
Authors: Chatzarakis G. E. , Indrajith N. , Panetsos S. L. , Thandapani E.
Published: July 2022

In this paper, we present a new method to establish the oscillation of advanced second-order difference equations of the form

Δ

η

ℓ

Δ
υ

ℓ

+
ρ

ℓ

υ

σ

ℓ

=
0
,

using the ordinary difference equation

Δ

η

ℓ

Δ
υ

ℓ

+
q

ℓ

υ

ℓ
+
1

=
0
.

The obtained results are new and improve the existing criteria. We provide examples to illustrate the main results.
Reading Game Sport from the Perspective of Sociology of Knowledge
Authors: Shao Peng , Yu Han , Xu Zimu
Published: July 2022

The evolution of media technology has not only changed readers’ reading ways and reading habits but also tried to reshape their social behaviour. From the perspective of sociology of sustainable knowledge, this essay explores the impacts of technological change on reading through the framework of activity theory. It is found that digital reading is of increasing characteristics of “front stage” performance and reading anxiety in society, and sustainable knowledge anxiety began to spread. The research shows that the existing digital reading mode is actually the consumption of media, which is not conducive to the transmission and production of sustainable knowledge. Also, with the further development of technology, reading will open up a new chapter. The wisdom of human symbiosis will be infinitely stored and strive toward the era of global brain, which will help to better inherit sustainable knowledge and activate the vitality of sustainable knowledge production.
Presenting a Multi‐Echelon and Multi‐Product Model for Inventory Control considering Shortages Using a Heuristic Algorithm
Authors: Sabk Ara Majid , Toofani Maryam , Kaveh Farshad , Esmaeilpour Ghouchani Babak , Deimkar Masoumeh
Published: July 2022

In the present study, a mathematical model is provided for inventory management in a three‐level supply chain including a supplier, a manufacturer, and a distributor, taking into account the potential for product deficiency. Significant parameters such as the optimal order size for raw materials, optimal production rate, optimal allowed deficiencies at each supply chain level, the of the vehicles and the number of times the products are delivered between the supply chain components have been provided aiming at minimizing inventory management costs in the supply chain. The problem was solved using a heuristic algorithm. The proposed model is implemented for 20 different numerical examples. According to the results, the difference between the solutions obtained from the algorithm and the solutions obtained from the optimal values with the real variables is an average of 1.52%.
Treatment with Herbal Formula Extract in the hSOD1G93A Mouse Model Attenuates Muscle and Spinal Cord Dysfunction via Anti-Inflammation
Authors: Yang Eun Jin , Lee Sun Hwa , Cai Mudan
Published: July 2022

Amyotrophic lateral sclerosis (ALS), a multicomplex neurodegenerative disease, has multiple underlying pathological factors and can induce other neuromuscular diseases, leading to muscle atrophy and respiratory failure. Currently, there is no effective drug for treating patients with ALS. Herbal medicine, used to treat various diseases, has multitarget effects and does not usually induce side effects. Each bioactive component in such herbal combinations can exert a mechanism of action to increase therapeutic efficacy. Herein, we investigated the efficacy of an herbal formula, comprising Achyranthes bidentata Blume, Eucommia ulmoides Oliver, and Paeonia lactiflora Pallas, in suppressing the pathological mechanism of ALS in male hSOD1G93A mice. Herbal formula extract (HFE) (1 mg/g) were orally administered once daily for six weeks, starting at eight weeks of age, in hSOD1G93A transgenic mice. To evaluate the effects of HFE, we performed footprint behavioral tests, western blotting, and immunohistochemistry to detect protein expression and quantitative PCR to detect mRNA levels in the muscles and spinal cord of hSOD1G93A mice. HFE-treated hSOD1G93A mice showed increased anti-inflammation, antioxidation, and regulation of autophagy in the muscles and spinal cord. Thus, HEF can be therapeutic candidates for inhibiting disease progression in patients with ALS. This study has some limitations. Although this experiment was performed only in male hSOD1G93A mice, studies that investigate the efficacy of HEF in various ALS models including female mice, such as mice modeling TAR DNA-binding protein 43 (TDP43) and ORF 72 on chromosome 9 (C9orf72) ALS, are required before it can be established that HEF are therapeutic candidates for patients with ALS.
On Stević-Sharma Operators from General Class of Analytic Function Spaces into Zygmund-Type Spaces
Authors: Bakhit M. A. , Kamal A.
Published: July 2022

A Stevi

c

′

-Sharma operator denoted by

T

ψ

1

,

ψ

2

,
φ

is a generalization product of multiplication, differentiation, and composition operators. In this paper, we characterize the bounded and compact Stevi

c

′

-Sharma operator

T

ψ

1

,

ψ

2

,
φ

from a general class

X

of Banach function spaces into Zygmund-type spaces with some of the most convenient test functions on the open unit disk. Using several restrictive terms, we show that all bounded operators

T

ψ

1

,

ψ

2

,
φ

from

X

into the little Zygmund-type spaces are compact. As an application, we show that our results hold up for some other domain spaces of

T

ψ

1

,

ψ

2

,
φ

, such as the Hardy space and the weighted Bergman space.
Application of Traditional Chinese Elements in Visual Communication Design Based on Somatosensory Interaction Parameterisation
Authors: Zhang Jianjun , Guo Jie
Published: July 2022

In recent years, the interdisciplinary exploration of combining traditional visual communication design with somatosensory interaction technology has become a new form of artistic expression. In order to explore the feasibility of somatosensory interaction technology in visual communication design, this study proposes a 2D dynamic graphic generation method based on somatosensory interaction parameterisation and uses traditional Chinese elements as an example for specific applications in visual communication design. Firstly, the motion parameters recognised using the Kinect somatosensory interaction device are bound to the function variables used to generate the images in the development environment, thus enabling human somatosensory interaction with different characters in the scene. Secondly, a linear discriminant analysis based on kernel functions is used to reduce the dimensionality of the vector space, thus solving the problem of real-time and accurate capture of human movements. Then, using the skeletal parameter binding technique, the association between the motion parameters of the somatosensory interaction and the two-dimensional dynamic graphics is achieved. The experimental results show that the visual communication technique based on somatosensory interaction has a high recognition accuracy. Distinguished from traditional digital video, the proposed method can greatly enrich the visual representation of traditional Chinese elements.
Research on Indoor Environment Art Design Model Using Genetic Algorithm
Authors: Dai Weisi
Published: July 2022

The requirements of human beings for the comfort of the built environment are gradually improving with the development of the economy and the progress of science. In the rapid development of smart home environment, the simple temperature control as the goal of the air conditioning system control cannot meet people’s needs, to thermal comfort as the control goal of air conditioning control strategy can not only meet people’s requirements for environmental indicators such as temperature and humidity, but also achieve the purpose of energy saving. In the smart home environment, in order to meet the user’s requirements for the thermal comfort of the indoor environment, the indoor equipment is accurately controlled, and the thermal comfort index of the indoor environment is predicted and analyzed. In order to improve the data quality, the K-means clustering algorithm is first used to process the experimental data; secondly, in order to get rid of the negative impact of the randomness of the initial threshold and weight on the prediction accuracy of the model, which leads to the prediction result falling into a local minimization, it is proposed to use the genetic algorithm to prioritize the initial threshold and weight of the model and then establish a prediction model based on the BP neural network to predict the thermal comfort of the indoor environment, and the existing experimental data prove that the prediction effect is good. The research results show that the system can automatically change the control strategy and adjust the operating state of the controlled equipment according to the current thermal environment, so that the indoor thermal environment of the smart home is kept in the best state of comfort, stability, and balance.
Synovitis Ointment Improved Knee Osteoarthritis by Suppressing SDF-1/CXCR4 Signaling Pathway
Authors: Zhang Jin , Zhao Min , Liu Jing , Wang Ke , Cai Xiang , Xiao Wei , Wang Le , Wang Mang , Zhang Lei , Zhang Chi
Published: July 2022

Objective. Knee osteoarthritis (KOA) remains a challenge for clinicians worldwide and lacks major advancements in treatment. In this study, we investigated the mechanism of synovitis ointment interference on KOA. Methods. SD rats were used to establish KOA models and were randomly divided into five groups: the control group, the KOA group, the KOA + synovitis ointment group, the KOA + Western medicine group, and the KOA + Chinese medicine group. Detection of pathological injury of the joint was observed through HE staining. Enzyme-linked immunosorbent assay (ELISA) was used to measure the expression of SDF-1, CXCR4, MMP-9, and MMP-13. Effects of synovitis ointment on bone cell fibrosis were detected through Masson staining, and the relative mRNA expression of PLOD2, COL1A1, TIMP1, and TGF-β was observed using the real-time quantitative (RT-PCR) method. Results. Mankin’s score and the knee diameters showed that the KOA model has been successfully established; compared with the OA group, the synovitis ointment group improved the pathological injury of the knee joint. Compared with the KOA group, the synovitis ointment group, the KOA + Western medicine group, and the KOA + Chinese medicine group significantly decreased the expression of SDF-1, CXCR4, MMP-9, and MMP-13. Synovitis ointment reduced the relative content of bone cell fiber compared to that in the KOA group. While, the relative mRNA expression of PLOD2, COL1A1, TIMP1, and TGF-β was significantly decreased in the synovitis ointment group. Conclusion. Synovitis ointment inhibited the inflammation and bone cell fibrosis of KOA, and the mechanism was related to the SDF-1/CXCR4 singling pathway.
Application and Research of the Image Segmentation Algorithm in Remote Sensing Image Buildings
Authors: Wu Sichao , Huang Xiaoyu , Zhang Juan
Published: July 2022

Aiming at the problems of low building segmentation accuracy and blurred edges in high-resolution remote sensing images, an improved fully convolutional neural network is proposed based on the SegNet network. First, GELU, which performs well in deep learning tasks, is selected as the activation function to avoid neuron deactivation. Second, the improved residual bottleneck structure is used in the encoding network to extract more building features. Then, skip connections are used to fuse images The low-level and high-level semantic features are used to assist image reconstruction. Finally, an improved edge correction module is connected at the end of the decoding network to further correct the edge details of the building and improve the edge integrity of the building. Experiments are carried out on the Massachusetts building dataset, and the precision rate, recall rate, and F1 value reach 93.5%, 79.3%, and 81.9%, respectively, and the comprehensive evaluation index F1 value is improved by about 5% compared with the basic network.
Study on the Effect of Dexmedetomidine on Postoperative Cognitive Dysfunction and Inflammation in Aged Rats
Authors: Hou Ming , Zhang Qiongyu , Deng Kai
Published: July 2022

Objective. The aim of this study is to investigate the effect of dexmedetomidine on cognitive dysfunction and inflammatory cytokines in the hippocampus after surgery in aged rats. Methods. A total of 30 healthy male Sprague Dawley rats were divided into control group, sham group, and dexmedetomidine group. A splenectomy rat model was established and dexmedetomidine was intraperitoneally injected before operation. The cognitive function of rats was examined by Morris Water‐Maze Test, open field experiment, and passive avoidance memory test. And the expression levels of IL‐6, IL‐1β, and TNF‐α in the hippocampus were examined by ELISA. Results. The escape latency for 5 continuous days in dexmedetomidine group was significantly decreased comparing with control group (all P < 0.05). The number of times of swimming and the percentage of swimming time in dexmedetomidine group were significantly more than those in control group (all P < 0.05). What is more, rats in dexmedetomidine group had the decreased time of stay in the central square and the increased number of standing times in comparison with the control group, and the statistical differences were found (all P < 0.05). Compared with the control group, dexmedetomidine intraperitoneally injected before surgery could significantly inhibit the expression levels of IL‐6, IL‐1β, and TNF‐α in the hippocampus, and there were statistical differences (all P < 0.05). Conclusion. Dexmedetomidine could significantly relieve the postoperative cognitive dysfunction in aged rats. The mechanism may be associated with the decreased inflammatory cytokines in the hippocampus.
Accounting and Financial Management Cost Accounting Integrating Rough Set Knowledge Recognition Algorithm
Authors: Liu Xiaoli
Published: July 2022

The main difference between rough set theory and some methods of uncertainty theory, such as probabilistic data mining, fuzzy set theory, and evidence‐based data mining, is that they do not require any prior knowledge beyond the data set being processed. This is also its advantage. At present, rough set theory has been well applied in artificial intelligence, knowledge discovery, pattern recognition, fault detection, and so on. According to the discovery model of classification knowledge, the attribute reduction of decision table, classification rule reduction, and classification algorithm under the condition of missing attribute are discussed. It tests the effectiveness of the knowledge recognition algorithm. The effectiveness of the algorithm proposed in this article reaches 87.6%, 84.4%, 94.97%, and 96.34%.
Hyperelliptic Covers of Different Degree for Elliptic Curves
Authors: Fan Jing , Fan Xuejun , Song Ningning , Wang Long
Published: July 2022

In elliptic curve cryptography (ECC) and hyperelliptic curve cryptography (HECC), the size of cipher-text space defined by the cardinality of Jacobian is a significant factor to measure the security level. Counting problems on Jacobians of elliptic curve can be solved in polynomial time by Schoof–Elkies–Atkin (SEA) algorithm. However, counting problems on Jacobians of hyperelliptic curves are solved less satisfactorily than those on elliptic curves. So, we consider the construction of the cover map from the hyperelliptic curves to the elliptic curves to convert point counting problems on hyperelliptic curves to those on elliptic curves. We can also use the cover map as a kind of cover attacks. Given an elliptic curve over an extension field of degree

n

, one might try to use the cover attack to reduce the discrete logarithm problem (DLP) in the group of rational points of the elliptic curve to DLPs in the Jacobian of a curve of genus

g
≥
n

over the base field. An algorithm has been proposed for finding genus 3 hyperelliptic covers as a cover attack for elliptic curves with cofactor 2. Our algorithms are about the cover map from hyperelliptic curves of genus 2 to elliptic curves of prime order. As an application, an example of an elliptic curve whose order is a 256-bit prime vulnerable to our algorithms is given.
An Analysis of Factors Related to Care Engagement along the Cancer Survivorship Care Continuum for Cancer Survivors in Florida
Authors: Mobley EM , Smotherman C , Fishe JN , Anton S , Braithwaite D , Gurka MJ , Gutter MS , Parker AS
Published: July 2022

Purpose: This study identifies factors associated with care engagement along the cancer survivorship care continuum for Floridians. Methods: We identified patients from the OneFlorida Data Trust with a cancer diagnosis at any age and encounters from 2012-2020. Multivariable logistic regression models produced odds ratios (OR) predicting 1) any outpatient non-acute care visit, 2) cancer-related visit with any provider, 3) cancer-related visit with a cancer provider, and 4) survivorship visit with a cancer provider. Encounter-based independent variables were insurance, Social Deprivation Index quartile, and Rural Urban Continuum Area (adjusted for age, sex, race, ethnicity, and treatment). Results: 662,489 survivors were included in the sample. Those with Medicaid and dual eligible status (Medicare and Medicaid) were more likely to have an outpatient visit (Medicaid OR 2.02, 95%CI 1.93-2.12; dual eligible 3.06, 2.91-3.22) or a cancer-related visit with a cancer provider (Medicaid 1.82, 1.77-1.86; dual eligible 1.32, 1.28-1.35), and less likely to have a survivorship visit (Medicaid 0.27, 0.26-0.28; dual eligible 0.20, 0.19-0.21). Uninsured survivors were less likely to have all visit types, while those with Medicare were more likely. Those from the most socially deprived areas were more likely to have an outpatient visit (1.09, 1.03-1.14) and less likely to have a cancer-related visit with any provider (0.90, 0.88-0.92) or a cancer provider (0.93, 0.91-0.95). Survivors from non-metropolitan areas were more likely to have an outpatient visit (1.38, 1.22-1.56), cancer-related visit (1.22, 1.16-1.28), cancer-related visit with a cancer provider (1.45, 1.39-1.52), and a survivorship visit (1.34, 1.22-1.48). Conclusions: Survivors who have public insurance are more likely to have outpatient visits, and those with Medicaid or dual eligible status are less likely to have survivorship visits. Uninsured status is consistently associated with lack of engagement across the care continuum. Those from areas with higher social deprivation are more likely to have outpatient visits, but less likely to have a cancer-related visit with or without a cancer provider. Survivors from non-metropolitan areas are more likely to engage in all visit types along the care continuum.
Racial Disparities in Family Variant Testing for Cancer Predisposition Genes
Authors: Kassem N , Althouse SK , Monahan P , Hayes L , Nielsen SM , Heald B , Esplin E , Hatchell KE , Ballinger TJ
Published: July 2022

Purpose: Despite the substantial clinical impact of genetic testing, racial disparities exist in the delivery of this service. Here, we partnered with a commercial laboratory (Invitae) to establish whether there are racial disparities in the uptake of family variant testing (FVT). We also investigated if providing FVT at no cost impacts rates of cascade testing in Black and White families. Methods: This is a retrospective analysis comparing rates of FVT in self-reporting Black probands to self-reporting White probands who underwent germline genetic testing for genes associated with hereditary cancer through Invitae. All Black and White patients found to have a pathogenic/likely pathogenic variant P/LPV) in a hereditary cancer syndrome gene were identified up to one year before and up to one year after FVT became no-charge in 1/2017. The proportion of probands with at least one at- risk family member who underwent FVT was compared between Black and White probands using logistic regression, including the interaction between covariates of cost and race. Results: Between 1/2016 and 1/2018, 8,530 Black and 87,846 White probands underwent genetic testing. Of these, 9.3% (n =791) Black probands and 11.4% (n=9,998) White probands had a P/LPV identified. The uptake of FVT, defined by percentage of positive probands with at least one family member undergoing testing, was significantly lower in Black participants compared to White participants (11.9% versus 21.7%, odds ratio 0.5, 95% CI 0.4-0.6, p<0.001). Period of testing before or after FVT was no-charge did not impact this difference (p=0.23 for the interaction). FVT rates were significantly lower in Black patients compared to White patients both before (8.1% versus 18.7%, OR 0.4, 95% CI 0.2-0.6, p<0.001) and after (13.6% versus 23.1%, OR 0.5, 95% CI 0.4-0.7, p<0.001) testing became no-charge. Conclusion: While FVT rates were low overall, they were significantly lower in Black families compared to White families. Cost of FVT did not have a significant impact on the racial disparity seen, suggesting additional barriers exist. Recognizing these disparities and determining the contributing factors are crucial to developing tailored interventions that would ultimately advance racial equity in cancer care.
Endoscopic Lung Volume Reduction with One-Way Valves in Patients with Severe Chronic Obstructive Pulmonary Disease with Hypercapnia
Authors: Lenga Pavlina , Grah Christian , Ruwwe-Glösenkamp Christoph , Saccomanno Jacopo , Rückert Jens , Eggeling Stephan , Gläser Sven , Kurz Sylke , Eisenmann Stephan , Krüger Marcus , Schmidt Bernd , Schneider Paul , Andreas Stefan , Hinterthaner Marc , Pfannschmidt Joachim , Gebhardt Andreas , Stanzel Franz , Holland Angélique , Kirschbaum Andreas , Becke Birgit , Hübner Ralf-Harto ,   on behalf of the Lung Emphysema Registry Study Group
Published: July 2022

Background: Robust clinical evidence on the efficacy and safety of endoscopic lung volume reduction (ELVR) with one-way valves in patients with severe lung emphysema with chronic hypercapnic respiratory failure is lacking. Objective: The aim of this study was to compare patient characteristics, clinical outcome measures, and incidences of adverse events between patients with severe COPD undergoing ELVR with one-way valves and with either a partial pressure of carbon dioxide (pCO2) of ≤45 mm Hg or with pCO2 >45 mm Hg. Methods: This was a multicentre prospective study of patients with severe lung disease who were evaluated based on lung function, exercise capacity (6-min walk test [6-MWT]), and quality-of-life tests. Results: Patients with pCO2 ≤45 mm Hg (n = 157) and pCO2 >45 mm Hg (n = 40) showed similar baseline characteristics. Patients with pCO2 ≤45 mm Hg demonstrated a significant increase in forced expiratory volume in 1 s (p < 0.001), a significant decrease in residual volume (RV) (p < 0.001), and significant improvements in the quality of life and 6-MWT at the 3-month follow-up. Patients with pCO2 >45 mm Hg had significant improvements in RV only (p < 0.05). There was a significant decrease in pCO2 between baseline and follow-up in hypercapnic patients, relative to the decrease in patients with pCO2 ≤45 mm Hg (p = 0.008). Patients who were more hypercapnic at baseline showed a greater reduction in pCO2 after valve placement (r = −0.38, p < 0.001). Pneumothorax was the most common adverse event in both groups. Conclusions: ELVR with one-way valves seems clinically beneficial with a remarkably good safety profile for patients with chronic hypercapnic respiratory failure.
Symptom Burden in Glioblastoma: A Prospective Pilot Study from Diagnosis to First Progression
Authors: Roelcke Ulrich , Schwyzer Lucia , Zeitlberger Anna Maria , Hundsberger Thomas
Published: July 2022

Introduction: The evaluation of symptom burden, performance status, and neurological function is still challenging in glioblastoma (GBM) patients. Patients may suffer from a wide spectrum of neurological symptoms like cognitive deficits, aphasia, or hemiparesis, which interfere to report to comprehensive questionnaires. However, an integrated and reliable neuro-oncological assessment is the key in the clinical management and in the evaluation of treatment benefits for GBM patients. Methods: We implemented an easy-to-use clinical toolkit for the prospective assessment and follow-up evaluation of GBM patients using the Karnofsky performance status (KPS), the National Institute of Health Stroke Scale (NIH-SS), and simple scores for the evaluation of key symptoms like fatigue, depression, and headache. Results: We prospectively followed 50 patients. The composite score (headache, depression, and fatigue), fatigue alone, the NIHSS, and the KPS were suitable biomarkers to evaluate symptom burden in GBM patients and indicate clinical disease progression. Discussion/Conclusion: The proposed clinical toolkit seems feasible in routine clinical practice and reflects changes in symptom burden in different stages of the postsurgical course of GBM patients in this monocentric clinical pilot trial.
AMIGOS: a robust emotion detection framework through Gaussian ResiNet
Authors: V. S. Bakkialakshmi , Thalavaipillai Sudalaimuthu
Published: July 2022

Affective computing is the study of the deep extraction of emotional impacts that triggers humans for various reasons. Emotions directly reflect on human behaviour. The proposed analysis is inclined towards deep emotion extraction through a novel concept with less computation time. Designing a robust analysis model is focused on here. AMIGOS dataset on affect, and personality modelling is considered here. A Novel Gaussian ResiNet (GRN) algorithm is evaluated here. Any changes in the emotions of humans are the brainy response given to the actions faced. The features of the given physiological factors are considered for analysis, further with GMM-ResiNet (GRN) a low computational structure is used for classification. The Novel Gaussian ResiNet (GRN) is created from the given dataset for similar feature validations. The system predicts the correlated relative data from the training set and testing set and achieved the performance metrics using error rate (ER), Algorithm Computation Time (ACT), Full Computation Time (FCT), Accuracy (AUC) etc. Novel Gaussian ResiNet (GRN) is created and tested with processed data of the AMIGOS dataset. The model created is validated with state-of-art approaches and achieved an accuracy of 92.6%.
Even-odd crossover: a new crossover operator for improving the accuracy of students’ performance prediction
Authors: A. Shams Somia , Hekal Omar Asmaa , S. Desuky Abeer , T. Abou-Kreisha Mohammad , A. Elsharawy Gaber
Published: July 2022

Prediction using machine learning has evolved due to its impact on providing valuable and intuitive feedback. It has covered a wide range of areas for predicting student’ performance. Instructors can track student’s dropout in a particular course at an early stage and try to improve students’ performance. The problem of students’ future performance prediction using advanced statistics and machine learning is a hard problem due to the imbalanced nature of the student data where the number of students who passed the exam is generally much higher than the number of students who failed the exam. This paper proposes a new type of crossover operator called Even-Odd crossover to generate new instances into the minority class to handle the imbalanced data problem. The experiments are implemented using three machine learning (ML) algorithms: random forest (RF), support vector machines (SVM), and K-Nearest-Neighbor (KNN) to ensure the efficiency of the proposed technique. The performance of the classifiers is evaluated using several performance measures. The efficient ability of the proposed method on solving the imbalance problem is proved by performing the experiments on 22 real-world datasets from different fields and four students’ datasets. The proposed Even-Odd crossover shows superior performance compared to state-of-the-art resampling techniques.
Teacher resilience instrument: Development and validation of a four-factor model
Authors: Abubakar Al-Munnir , Tengku Ariffin Tengku Faekah , Md Jaafar Fauziah
Published: July 2022

The study into teacher resilience has been inadequate due to a lack of measures that apply to educational settings. The items measuring teacher resilience were constructed through literature extensive discussion with the experts in the field and further discussion with the practitioners, i.e., secondary school teachers. The Teacher Resilience Instrument was then tested in a field via survey research method. The sample of the current study consists of 380 secondary school teachers in Bauchi State, Nigeria, through cluster sampling and systematic sampling method. The exploratory and confirmatory factor analysis were used to test the hypothesized model with four dimensions of teacher resilience. The study confirmed that the proposed model was fit and data loading were significant, which leads to the construct validity of the research instrument. Finally, the study highlighted the importance of researching more on teacher resilience to seek its relationship with other factors, pertinent especially to address issues regarding teacher wellbeing and retention. 
Transformational leadership style in rural schools during pandemic: A case study in Indonesian non-WEIRD community
Authors: Aziz Abdul , Padil Mohammad , Mujtahid Mujtahid , Prihadi Kususanto Ditto
Published: July 2022

Studies on the unreadiness of educational stakeholders to face the abrupt requirement of online learning amidst the pandemic were usually conducted among the urban participants with highly available access to the internet and well-developed online social habit. Such population tend to fall into Westernized, Educated, Industrialized, Rich, Democratic (WEIRD) bias population, even in Asian countries. Therefore, their results tend to report problems faced by the aforementioned population. In this current study, we attempt to fill in the population gap by exploring the transformational leadership among school principals in rural area of Malang, East Java, Indonesia. There were five leaders of schools’ setup by different religious affiliations in the community interviewed. After the thematic analyses, the results confirmed that the online learning policy exposed our participants to different problems from the ones faced by the urban population, and therefore they have taken different measures in order to sustain their educational services. Actions such as interschool collaborations, interschool students grouping, and interschool teacher-sharing were introduced to us by these rural school principals, along with the spirit of unity in their diversity. Further exploration and suggestions are discussed in the article.
Highlights in ASCVD Primary Prevention for 2021
Authors: Polonsky Tamar S. , Khera Amit , Miedema Michael D. , Schocken Douglas D. , Wilson Peter W. F.
Published: July 2022

This review examines key studies published in 2021 that are related to primary prevention of atherosclerotic cardiovascular disease (ASCVD). Major randomized clinical trials (RCTs) concerning traditional risk factors or ASCVD events, meta‐analyses, and key observational studies related to primary prevention of ASCVD were considered. The review includes interventions for weight loss, cardiometabolic and renal disease, blood pressure control, diet, and the occurrence of cardiovascular disease events. A few studies considered both primary and secondary prevention populations. The review is not exhaustive. We did not include studies that focused on heart failure or clinical presentations that may be difficult to classify, such as acute or chronic ischemic cardiovascular disease without myocardial infarction. Our purpose was to highlight recent research that will help the reader stay abreast of the changing field of cardiovascular prevention.
Duygusal Yeme Bozukluklarının Ve Vücut Kütle İndeksinin Finansal Risk Alma Davranışları Üzerine Etkisi
Authors: KAVAS Yusuf Bahadır , TUNÇER Esra , ÇOBAN Mustafa Necati , ERKAN Mustafa Kemal
Published: July 2022

Duygusal yeme davranışı (DYD), bireylerde olumsuz duygulardaki yoğunlukla beraber gözlemlenmektedir. Bireylerin endişe, stres, korku, yalnızlık vb. durumlarda duygusal yeme davranışının arttığı bilinmektedir. Yine mutluluk da bazı durumlarda duygusal yeme bozukluğuna yol açabilmektedir. Duygusal yeme davranışı, bireyleri olumsuz yönde etkileyebilen önemli bir yeme bozukluğudur. Duygusal yeme davranışı, obeziteye yol açabilmektedir. Duygusal yeme davranışı ile birtakım değişkenler arasındaki ilişkilerin literatürde incelendiği gözlemlenmektedir. Bu çalışmada da duygusal yeme davranışı ile finansal risk toleransı (FRT) arasındaki ilişkinin araştırılması amaçlanmaktadır. Belirtilen bu amaç doğrultusunda ilgili verilere ulaşabilme amacıyla anket çalışması gerçekleştirilmiştir. Kadınların duygusal yeme davranışı ve vücut kütle indekslerinin (VKI) finansal risk toleransını negatif yönde etkilediği tespit edilmiştir. Erkeklerin duygusal yeme davranışı finansal risk toleransını etkilemezken, vücut kütle indeksleri ise finansal risk toleransını olumlu yönde etkilemektedir.
HOW WILL UKRAINE-RUSSIA WAR AFFECT TURKISH TRADE?
Authors: SEZGİN Volkan
Published: July 2022

The Ukraine-Russia war continues to threat international trade and global supply chains. This article analyses the impacts of Russia-Ukraine war on Turkey’s exports and imports. For this purpose, we analyzed 4-digit Harmonized Tariff Schedule (HTS) Turkey-Russia and Turkey-Ukraine trade figures between 2016 and 2020 to reveal the prospective most affected sectors from the conflict. Our findings show that Turkey’s agricultural exports both to Russia and Ukraine will be affected negatively by the conflict. The exports of citrus fruits and tomatoes are expected to shrink. Other Turkish exporters which will feel the squeeze are the producers of motor vehicles, petroleum oils and machinery. Turkey may get into trouble in importing various iron and steel products, wrought aluminum, wheat, coal, natural gas, petroleum oils and ammonia from Russia if the sanctions would harm the ability of Russian traders doing business. Importing semi-finished products of iron, wheat, sunflower, maize or corn, various iron and steel products, ferro alloys from Ukraine may be problematic for Turkey as Ukraine takes a significant double-digit share in Turkey’s imports of these goods. It appears global rise in food and energy prices could exacerbate Turkey’s budget deficit and deteriorate already rising domestic inflation, which may in turn hit Turkish traders in the medium term.
Miliusa agasthyamalana (Annonaceae), a new species from southern Western Ghats, India
Authors: ARYA SINDHU , ANIL KUMAR VENUGOPALAN NAIR SARADAMMA
Published: July 2022

Miliusa agasthyamalana (Annonaceae), a new species from the Western Ghats, India is described and illustrated. The new species is morphologically similar to M.paithalmalayana and M. wightiana. Detailed notes on the species along with its color photographs and illustrations are provided.
Lectotypification of the name Dipcadi erythraeum Webb & Berthel. (Asparagaceae)
Authors: SHELKE PRIYA E. , YADAV SHRIRANG R. , LEKHAK MANOJ M.
Published: July 2022

N/A
A taxonomic contribution to the genus Brachythele Ausserer, 1871 (Araneae, Nemesiidae) with a description of a new species from Rhodope Mountains, Bulgaria
Authors: DIMITROV DRAGOMIR , ZONSTEIN SERGEI
Published: July 2022

We describe Brachythele rhodopensis sp. n. based on the holotype male from the eastern Rhodope Mountains, Bulgaria. The new species is compared with its closest congeners. The diagnosis of B. langourovi Lazarov, 2005 is updated, and the species is reported from the North Macedonia for the first time. New photographs of B. langourovi and illustrations of B. bentzieni Zonstein, 2007 are provided. The male of B. media Kulczyński, 1987 is re-diagnosed and re-described.
Preservice Music Teachers’ World Music Preference for Taught Pieces and Its Transfer to Untaught Pieces
Authors: Kang Sangmi , Fung C. Victor , Yoo Hyesoo
Published: July 2022

We investigated whether preference transfer occurred from 18 taught world music pieces to 18 untaught pieces from the same regions among preservice music teachers. Eighty-three preservice music teachers participated in an interactive, culturally diverse music curriculum over the course of a semester. Participants learned 18 African, Asian, and Latin American folk songs in small groups from culture bearers via video conferencing. They then team-taught the same songs to their peers. Before and after the curriculum intervention with taught pieces only, we tested participants’ preferences for the taught and untaught pieces. Wilcoxon signed-rank test results indicated that the participants’ preference scores increased from the pretest to posttest for both taught and untaught world music pieces in all three regions. This result suggests the existence of possible preference transfer from taught to untaught pieces. Through follow-up interviews and instructor’s reflective notes analyses, we identified four interconnected themes across cognitive, cultural, social, and pedagogical dimensions that explained reasons for preference transfer: applying principles from taught pieces, appreciating cultures with authenticity and legitimacy, learning safely via intra- and intergroup interactions, and experiencing reciprocal course structure. We discuss implications for the profession that bridge formal and informal endeavors of teaching and learning music from diverse cultures.
Automated brain volumetric measures with AccuBrain: version comparison in accuracy, reproducibility and application for diagnosis
Authors: Zhao Lei , Luo Yishan , Mok Vincent , Shi Lin
Published: July 2022

Background

Automated brain volumetry has been widely used to assess brain volumetric changes that may indicate clinical states and progression. Among the tools that implement automated brain volumetry, AccuBrain has been validated for its accuracy, reliability and clinical applications for the older version (IV1.2). Here, we aim to investigate the performance of an updated version (IV2.0) of AccuBrain for future use from several aspects.

Methods

Public datasets with 3D T1-weighted scans were included for version comparisons, each with Alzheimer’s disease (AD) patients and normal control (NC) subjects that were matched in age and gender. For the comparisons of the brain volumetric measures quantified from the same scans, we investigated the difference of hippocampal segmentation accuracy (using Dice similarity coefficient [DSC] as the major measurement). As AccuBrain generates a composite index (AD resemblance atrophy index, AD-RAI) that indicates similarity with AD-like brain atrophy pattern, we also compared the two versions for the diagnostic accuracy of AD versus NC with AD-RAI. Also, we examined the intra-scanner reproducibility of the two versions for the scans acquired with short-intervals using intraclass correlation coefficient.

Results

AccuBrain IV2.0 presented significantly higher accuracy of hippocampal segmentation (DSC: 0.91 vs. 0.89, p < 0.001) and diagnostic accuracy of AD (AUC: 0.977 vs. 0.921, p < 0.001) than IV1.2. The results of intra-scanner reproducibility did not favor one version over the other.

Conclusions

AccuBrain IV2.0 presented better segmentation accuracy and diagnostic accuracy of AD, and similar intra-scanner reproducibility compared with IV1.2. Both versions should be feasible for use due to the small magnitude of differences.
NOTCH2NLC-related oculopharyngodistal myopathy type 3 complicated with focal segmental glomerular sclerosis: a case report
Authors: Ji Guang , Zhao Yuan , Zhang Jian , Dong Hui , Wu Hongran , Chen Xian , Qi Xiaoming , Tian Yun , Shen Lu , Yang Guofeng , Song Xueqin
Published: July 2022

Background

Oculopharyngodistal myopathy (OPDM) is an adult-onset neuromuscular disease characterized by progressive ocular, facial, pharyngeal, and distal limb muscle involvement. Recent research showed that GGC repeat expansions in the NOTCH2NLC gene were observed in a proportion of OPDM patients, and these patients were designated as having OPDM type 3 (OPDM3). Heterogeneous neuromuscular manifestations have been described previously in studies of OPDM3; however, kidney involvement in this disease has rarely been reported.

Case presentation

Here, we report the case of a 22-year-old Chinese patient with typical manifestations of OPDM complicated with focal segmental glomerular sclerosis (FSGS). This patient with sporadic FSGS exhibited distal motor neuropathy and rimmed vacuolar myopathy in clinical and pathological examinations. An expansion of 122 CGG repeats located in the 5’ untranslated region (UTR) of the NOTCH2NLC gene was identified as the causative mutation in this patient. The clinical and histopathological findings fully met the criteria for the diagnosis of OPDM3. In addition, intranuclear inclusions were detected in the renal tubule epithelial cells of this patient, indicating that the kidney may also be impaired in NOTCH2NLC-related GGC repeat expansion disorders (NREDs).

Conclusions

Our case report demonstrated the clinicopathological cooccurrence of sporadic FSGS and OPDM3 in a patient, which highlighted that the kidney may show inclusion depositions in OPDM3, thus expanding the clinical spectrum of NREDs.
Concurrent validity of the short-form Family Impact Scale (FIS-8) in 4-year-old US children
Authors: Thomson W. M. , Foster Page L. A. , Levy S. M. , Keels M. A. , Hara A. T. , Fontana M.
Published: July 2022

Background

US data on the validity and reliability of the short-form Family Impact Scale (FIS-8; a scale for measuring the impact of a child’s oral condition on his/her family) are lacking.

Methods

Cross-sectional analysis of data on four-year-old US children taking part in a multi-center cohort study. For child-caregiver dyads recruited at child age 12 months, the impact of the child’s oral condition on the family was assessed at age 48 months using the FIS-8, with a subsample of 422 caregivers (from 686 who were approached). Internal consistency reliability was assessed using Cronbach’s α, with concurrent validity assessed against a global family impact item (“How much are your family’s daily lives affected by your child’s teeth, lips, jaws or mouth?”) and a global oral health item (“How would you describe the health of your child’s teeth and mouth?”).

Results

Cronbach’s alpha was 0.83. Although gradients in mean scores across ordinal response categories of the global family impact item were inconsistent, there were marked, consistent gradients across the ordinal categories of the global item on the child’s oral health, with scores highest for those rating their child’s oral health as ‘Poor’.

Conclusions

While the findings provide some evidence for the utility of the FIS in a US child sample, the study’s replication in samples of preschoolers with greater disease experience would be useful.
Heterogeneity in the evaluation of suspected MIS-C: a cross-sectional vignette-based survey
Authors: Rosu Claudia A. , Martens Anna M. , Sumner Jeffrey , Farkas Eva J. , Arya Puneeta , Arauz Alexy Boudreau , Madhavan Vandana L. , Chavez Hector , Larson Shawn D. , Badaki-Makun Oluwakemi , Irimia Daniel , Yonker Lael M.
Published: July 2022

Background and Objectives

Multisystem Inflammatory Syndrome in Children (MIS-C) is an emerging complication of COVID-19 which lacks a definitive diagnostic test and evidence-based guidelines for workup. We sought to assess practitioners' preferences when initiating a workup for pediatric patients presenting with symptoms concerning for MIS-C.

Methods

In a cross-sectional vignette-based survey, providers were presented with clinical vignettes of a patient presenting with 24 h of fever from a community with high rates of COVID-19. Respondents were asked about their general practices in pursuing a workup for potential MIS-C including testing obtained, criteria for diagnosis, and timing to confirm or rule out the diagnosis.

Results

Most of the 174 respondents were physicians from the United States at academic medical centers. The majority of providers would not initiate MIS-C workup for fever and non-specific symptoms unless the fever lasted more than 72 h. Skin rash, abdominal pain, and shortness of breath were symptoms that raised greatest concern for MIS-C. Most providers would obtain COVID-19 PCR or antigen testing, plus blood work, in the initial workup. The list of laboratory studies providers would obtain is extensive. Providers primarily rely on cardiac involvement to confirm a MIS-C diagnosis, and establishing a diagnosis takes 24–48 h.

Conclusions

Significant heterogeneity exists amongst providers as to when to initiate the MIS-C workup, the order and content of the workup, and how to definitively diagnose MIS-C. A diagnostic test with high sensitivity and specificity for MIS-C and refined evidence-based guidelines are needed to expedite diagnosis and treatment.