bluuebunny/crossref_metadata_2025 huggingface dataset:
Gastrointestinal Pathologies in a Center with Limited Resources: Pilot Study at the Bafoussam Regional Hospital, Cameroon.
Authors: Orock G Enow , Orock A Enow , E Ngounou , JL Konang n , M Noubom , E Nzeukou , Nm Tabeu , H Luma
Published: November 2021

Rationale: The pathology of the digestive tract is frequent in Cameroon. Despite this situation, studies of gastrointestinal pathology are rare. The pathological anatomy service is almost non-existent in the Cameroonian suburbs. Bafoussam in the west of the country is a semi-urban area and one of the rare ones to have a pathological anatomy department. This is why we decided to present the epidemiological data of the pathologies of the digestive tract of this locality. Methods: We carried out a prospective study over three months (October 2019 - January 2020), in the pathological anatomy department of the Bafoussam Regional Hospital in Cameroon with the aim of presenting the structural pathologies of the digestive tract listed in this institution. . Results: the pathology of the digestive tract has an incidence of approximately 400 in this locality, and represents 45.24% of all the pathologies identified in the pathological anatomy department of the Bafoussam Regional Hospital The age of our patients varies between 17 and 98 years old, with an average of 52.8. Women are slightly more represented (sex ratio M: F of 1: 1.3). Samples from the digestive tract represent 45% of all histological samples recorded in this department. The most common location, in decreasing order, is the stomach (84%), followed by the esophagus (5%), the colon and the rectum (4% each). On the other hand, other sites including the duodenum are rather rare. Of 100 samples of the digestive tract examined, 98 were pathological with a preponderance of inflammatory lesions (80.61%) against 19.39% of neoplastic nature. The inflammatory pathology was distributed uniformly in all age groups while the malignant pathologies were not observed until after 50 years. Malignant pathologies were more common in men (sex ratio M: F of 3: 1). Gastritis was the most common diagnosis (76.53%) and 94.66% of these gastritis were associated with Helicobacter pylori. Conclusion: The pathology of the digestive tract is important in our community and dominated by the inflammatory type. The most common site is the stomach, most of the lesions of which are linked to Helicobacter pylori. It would be desirable to actively seek out and eradicate Helicobacter pylori infection to decrease the incidence of digestive pathology. Further studies are recommended to establish the true epidemiological trend of gastrointestinal pathology in our community.
Google trends to identify public’s Interest in bowel cancer, A Web Based Analysis.
Authors: Manzoor T , Khan K , Helbren C
Published: November 2021

Aims: Bowel Cancer is one of the commonest cancers in UK. Google Trends were used to evaluate public’s search interest regarding bowel cancer. We hypothesize that the search data in Google Trends may be influenced by “Bowel cancer awareness month” campaign and that in future this might be a useful surrogate to monitor the effectiveness of public health campaigns. Methods: Google Trends were used to extract data presented as “Relative search volume index”(SVI) ranging between 0 to 100. “Bowel Cancer” was used as a search term to collect the relevant data for the last 5 years ( January 2015 to December 2019), All the peaks were assessed and their correlation with bowel cancer awareness month was noted. Results: We noticed an upward trend for the searched term during the months of April for most of the years where peak of search touched 90%. It corresponds with bowel cancer awareness month campaign. A downward trend was also noticed during the months of December during all years where it went down to 53%. This may represent avoidance of health related searches during the happy holiday period. Conclusion: Our study shows an encouraging association between bowel cancer awareness month campaign and public’s search interest. Results can be used in future to start effective awareness strategies and leverage future interventions.
Refus de traitement oncologique et pathologies psychiatriques
Authors: de La Perrière C. , Dauchy S.
Published: November 2021

Parmi les patients atteints de cancer, la mortalité de ceux atteints de pathologie psychiatrique est supérieure à celle des patients sans trouble psychiatrique. Cela pourrait s’expliquer entre autres causes par un refus de traitement oncologique plus fréquent. La pathologie psychiatrique peut en effet interférer avec la perception de la maladie, le raisonnement, la volonté et la capacité du patient à s’exprimer. Nous proposons donc un outil d’aide à la prise en charge du refus de traitement oncologique à destination des oncologues, permettant de limiter cette perte de chance.
Telas de araña o espacios de poder femeninos en la ficción breve de Patricia Esteban Erlés
Authors: Díez Cobo Rosa María
Published: November 2021

Es bien sabido que espacio es uno de los elementos claves en la configuración de las atmósferas erlesianas. La propia autora ha manifestado reiteradamente su inclinación por urdir relatos cuyo epicentro gravite en torno a lo espacial como lugar articulador de sus tramas. La existencia de un ya nutrido grupo de estudios críticos que abordan esta cuestión testimonian, asimismo, su preeminencia. Partiendo de la importancia de este aspecto medular, el presente trabajo se propone singularizar tres ficciones breves de la autora, “Ada Neuman” (2008), “Celebración” (2008) y “Azul Ruso” (2010), para indagar un particular dentro de esta cuestión locativa. En concreto, estas tres narraciones comparten un buen número de características entre las que sobresale la recreación de tres guaridas, dominadas por unas protagonistas femeninas de cualidades arácnidas, hacia las que atraen a una serie de indefensas víctimas. La consideración de estos espacios como lugares de poder femeninos de singular y siniestra naturaleza ocupará las valoraciones fundamentales de este estudio.
Los microrrelatos hipermediales de Patricia Esteban Erlés: didáctica de la fantasía
Authors: Mateos Blanco Belén , Álvarez Ramos Eva
Published: November 2021

La incorporación de las tecnologías de la información y de la comunicación (TIC) a los currículos de educación ha democratizado su empleo entre profesores y alumnos. Es precisamente este escenario el que abre las puertas del aula al estudio del microrrelato hipermedial. La génesis de esta nanonarrativa se adecua a un modelo docente que fomenta el uso redes sociales y de aplicaciones en línea como instrumento de comunicación y colaboración entre los miembros de la comunidad educativa. Los microrrelatos hipermediales que Patricia Esteban Erlés publica en Facebook e Instagram se manifiestan como una literatura motivadora que ofrece múltiples perspectivas de explotación didáctica. A caballo entre los géneros fantástico y de terror, los microtextos que la autora confecciona en las redes conjugan la semiótica del lenguaje textual y visual. Estas intersecciones de fondo y forma abren un sinfín de posibilidades para incentivar la lectura y la escritura en soportes multimedia.
La configuración de la autora implícita en Fondo de armario, de Patricia Esteban Erlés
Authors: Cabrera Claudia
Published: November 2021

Este trabajo elabora una configuración de la autora implícita de Fondo de armario (2019), de Patricia Esteban Erlés (Zaragoza, 1972), con base en sus columnas. En una primera instancia, se presentan las similitudes entre estas, los microrrelatos y otros géneros literarios. Dado que muchas son autobiográficas, se infieren aspectos de la vida de la autora y sus intereses tamizados por la memoria y la escritura autobiográfica. Los textos de denuncia muestran sus principales inquietudes y su empatía hacia los desprotegidos, entre ellos las mujeres, a quienes se dedica un buen número de artículos, por lo que se abordará la perspectiva feminista de los textos. Finalmente, la tendencia de la autora a destacar los aspectos crudos y gráficos de ciertos episodios remiten a su afición por los detalles macabros de las historias, los cuales, fuera del mundo ficcional, resultan más aterradores y cobran una nueva dimensión.
The efficacy of transcatheter arterial embolization for knee pain on patients with knee osteoarthritis: A case series
Authors: Kim Kun Yung , Kim Gi-Wook
Published: November 2021

BACKGROUND: Knee osteoarthritis (OA) is accompanied by inflammation and angiogenesis. Modifying angiogenesis through transcatheter arterial embolization (TAE) can be a potential treatment for knee OA. OBJECTIVE: We subjected five OA knees in three patients to TAE and report the results of our post-treatment observations. CASE DESCRIPTION: Three patients that had experienced knee pain for a minimum of one year prior to the study, and whose pain had persisted despite conservative treatment, were included in this study. Patients more often chose conservative treatment over surgical treatment. Pain and functional scales were evaluated before, immediately, and 1 month after TAE using the Numeric Rating Scale (NRS) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). TAE was performed by an experienced interventional radiologist. The average values of NRS evaluated before and after 5 TAEs were 5.2 before TAE, 3 immediately after TAE, and 3.6 after 1 month of TAE, and the average values of WOMAC were 52, 38.4, and 36.4, respectively. There were no major adverse effects. CONCLUSION: The examined cases support the conclusion that TAE is an effective treatment for patients with knee OA. Substantial pain relief and WOMAC improvement were observed both immediately and one month after TAE.
The effect of upper limb lymphedema in posture of patients after breast cancer surgery
Authors: Surmeli Mahmut , Cinar Ozdemir Ozlem
Published: November 2021

BACKGROUND: Upper limb lymphedema is one of the complications following breast cancer-related surgery. It is a fact that there are alterations in posture of the trunk following surgery, however, there is not much data on whether upper limb lymphedema has any effect on body posture. OBJECTIVES: The main purpose of the study was to investigate the effect of upper limb lymphedema in the trunk posture and spine mobility of patients following breast cancer surgery. METHODS: Twenty-seven women with lymphedema and 29 women without lymphedema with mastectomy or breast-conserving surgery participated in the study. Posture was evaluated by the New York Posture Rating Chart and spinal stability and thoracic mobility were evaluated by the Spinal Mouse device. RESULTS: Posture and spine posture scores were significantly higher in the without lymphedema group (p= 0.004; 0.041; respectively). There was a significant difference between the groups in terms of lateral (p< 0.001) and posterior (p< 0.001) view of shoulders, spine (p= 0.027), upper (p< 0.001) and lower back (p= 0.009), and trunk postures (p= 0.001). CONCLUSIONS: Body posture and spine are more affected due to upper limb lymphedema following breast cancer surgery. Alterations of posture mainly occur on shoulders, spine, upper and lower back, and trunk, but not on head and neck postures.
The combined treatment of entrapped Infrapatellar Branch of the Saphenous Nerve after ACL reconstruction: Ultrasound-guided perineural injection and acupotomy
Authors: Rao Yi , Hou Fangxing , Huang Hongshi , Xiao Xiangzuo
Published: November 2021

BACKGROUND: The anterior cruciate ligament (ACL) reconstruction (ACLR) under the arthroscopy is a widespread procedure for ACL rupture, which could stabilize knee and promote recovery. However, one of its complications is the injury of infrapatellar branch of saphenous nerve (IBSN). In traditional Chinese medicine, acupotomy functions via releasing and stripping adhesion tissues. Accordingly, acupotomy is suitable for the treatment of entrapped nerve injury and tissues adhesion. CASE DESCRIPTION: A 14-year-old man, who had ACLR before and returned to normal activity, presented with severe pain after a mild strain two weeks ago. The physical and imaging examinations revealed the compression injury of IBSN. METHODS: We provided the ultrasound-guided perineural injection of 0.4% lidocaine, while it only alleviates the symptoms temporally and partially. Acupotomy using a small needle knife (0.4*40 mm) was performed. RESULTS: The severe pain was immediately resolved. The visual analog pain scale (VAS) decreased from 10 to 1 and return to normal walking. The diameter of IBSN became smaller and the signal of peripheral soft tissue became hypoechoic in ultrasound. CONCLUSION : In this case, the combined treatments of ultrasound-guided perineural injection and acupotomy are thought to be innovative procedures for IBSN entrapment with relative long-lasting therapeutic effects.
Kinesiophobia and its association with treatment choice in individuals with idiopathic scoliosis
Authors: Yagci Gozde , Ozcan Damlagul Aydin , Kuru Cigdem Ayhan , Yakut Yavuz
Published: November 2021

BACKGROUND: Previous studies have reported increased kinesiophobia in adults with degenerative scoliosis or adolescents who have undergone spinal surgery. However, little is known about the phenomenon of kinesiophobia among adolescents with idiopathic scoliosis (IS). OBJECTIVES: The aim of this study was to investigate levels of kinesiophobia and its association with treatment choice in IS. METHODS: The study included 98 IS patients with a mean age of 14 years and 20 healthy controls. Participants with IS were divided into groups based on treatment conditions, as follows: (1) untreated (n= 33); (2) treated with exercise (n= 32); and (3) treated with a brace (n= 33). Kinesiophobia was measured using the Tampa Scale for Kinesiophobia (TSK). Comparisons were made between four groups. RESULTS: Untreated participants with IS were found to have greater kinesiophobia than healthy controls (p< 0.001). Participants treated with a brace (p= 0.046) and exercise (p= 0.064) had similar kinesiophobia levels as the healthy control group. CONCLUSIONS: Kinesiophobia was found to be higher in adolescents with IS compared to healthy peers. Brace or exercise treatment both had a positive impact on kinesiophobia. These findings should be considered when organizing rehabilitation programs to achieve the best results for adolescents with IS.
Industrial Economic Cooperation Between China and Nordic Countries Under the Double Circulation Pattern: Basis and Prospect
Authors: Zhou Nianlin , Jiang Manyuan , Lai Weixiao
Published: November 2021

This article takes the formula of trade complementarity index to calculate the degree of trade complementarity of various industries between China and Nordic countries based on the data of import and export from 2013 to 2018. The results indicate that the trade complementarity between China and Nordic countries has three major characteristics, that is, intensive concentration of specific complementary categories, structurally complementary in bilateral export and import and complementarity based on respective comparative advantages, and clarify the dual complementarities both in inter-industry trade and intra-industry trade. Our findings show that the basis of bilateral cooperation is stable due to strong complementarity each other. In addition, expanding the volume of trade complementary goods and cooperation are not only to promote the development of dual circulation in China, but also to reduce the segmentation costs in the processes of production for both sides.
Data Analytics Based Risk Management for Students’ Performance – A Case Study
Authors: Somasundaram M. , Mohamed Junaid K.A. , Sudha D. , Umamaheswari Sabari L.
Published: November 2021

Business leaders around the world are using emerging technologies to capitalize on data, to create business value and to compete effectively in a digitally driven world. Among them the risk assessment and the risk management, based on the assessment is a process which can be made using the available past historical data and applying Data Analytics. Although it is being implemented in different business domains, it is at a nascent stage. It is further new and emerging in the area of Education. This paper describes such a process followed in an educational institution of an engineering college and the use of data for risk management. Based on the processes followed, the performance of the students is seen to be improving in academic performance, placement, higher education and entrepreneurship. This also provides a good process and framework for taking strategic initiatives which will give long term benefits in the areas like research and outreach activities.
A Comparative Evidence of Income Levels Reflecting Gen Z’s Digital Payments Intention and Usage
Authors: Ponsree Khwanjira , Phongpaew Taksin , Narhutaradhol Phaninee
Published: November 2021

The study investigating e-payment services intention and use behavior of generation Z – knowing as the digital native cohort. To better understand the effect of financial volatility, the present study has categorized the study groups into low-income and high-income levels in accordance with Thai minimum wages. The UTAUT theory has been adopted to examining Gen Z’s intention and behavior toward using e-payment services. The factors comprising of performance expectancy, effort expectancy, social influence expectancy, facilitating conditions affecting behavioral intention and use behavior. Thus, there was five main hypothesizes have developed based on the utilized theory. The findings illustrate the significant differences between the two study groups. The behavior of using e-payment services is significantly distinct by the high-income level of Gen Z would rather using the services than the low-income. For Gen Z who earn a low income, there is one hypothesis that is rejected – effort expectancy affecting behavioral intention. On the other hand, for the higher-income, two hypotheses have not been confirmed which are performance expectancy and social influence expectancy positively influence behavioral intention. Among those supported hypotheses, the effect of intention on use behavior is the strongest path relationship for both low-income (β = 0.761) and high-income levels (β = 0.576).
Mitigating Construction Deficiencies: An Impact Analysis for Low-Cost Housing Developments Utilizing Artificial Neural Network
Authors: Lim Ramene U. , Silva Dante L. , De Jesus Kevin Lawrence M.
Published: November 2021

The aim of this study is to be able to come up with a supplemental project management policy guidelines and computational tool that will address the two major concerns in construction of low-cost housing, construction delays and workmanship defects. Through assessment of previous studies, factors causing delays and defects from the two major stakeholders involved in housing development projects were identified. With the use of the five-point Likert Scale in survey forms distributed to 60 professionals involved in housing development projects, factors were classified and identified according to its degree of impact on the overall construction efficiency. The statistics of these factors were organized and used to develop an Artificial Neural Network Model. The relative importance of the factors was measured using Garson’s Algorithm. The derived equations from the developed ANN Model were used in formulating the computational tool and supplemental policy guidelines that can now be used to evaluate the workmanship defects and delay ratings of different housing developments. The computational tool was tested by 10 experts with their current projects and was able to receive a 4.6 out of 5 rubric evaluation rating, showing the tool’s effectiveness in identifying and assessing the probability and impact of construction deficiencies on their projects.
The Impact of Air Pollution on the Development of Inbound Tourism in Chinese Megacities: The Case Study of Beijing, Guangzhou and Chongqing
Authors: Zhou Nianlin , Gu Yeli , Jiang Manyuan
Published: November 2021

The existing studies pay more attention to the impact of public transport and other public service facilities on urban air pollution and tourism, but less on the negative effect of air pollution caused by carbon emissions of business fixed investment on inbound tourism. This article attempts to make a supplementary analysis about the above point through examining the correlation between air pollution associate with business fixed investment and the size of inbound tourism based on panel data of three megacities (Beijing, Guangzhou and Chongqing) in China over the period from 2015 to 2019. The findings of this paper show that the effects of air pollution linked with carbon emissions from business fixed investment on the number of inbound tourists (NIT) is a negative correlation, while the influence of GDP per capita and tourism revenue on NIT reveal a positive relationship by applying fixed effects model for benchmark regression and the system-GMM estimator for robustness check. Moreover, the negative influence of PM 10 on sample cities is more than PM2.5. Some different results of core variables between benchmark and sub-sample regressions don’t imply the above conclusion to be substantively changed because of different distribution and concentration of nominal inbound tourists in specific sample megacities. In order to fundamentally improve air quality and to stimulate the development of inbound tourism, the suggestion of this study is to promote new business fixed investment with clean energy of renewable and low carbon.
Evaluation of Water Resources Sustainable Utilization in Wuhan Based on the Model of SUDE
Authors: Dong Lan
Published: November 2021

SUDE model is a systematic sustainable use model based on the view of the whole life cycle of water resources. The analysis of the model water resources has been divided into four stages according to the state of motion water resourcesat different times in its life cycle, namely the water supply stage (“S”),water use phase (“U”),water collection,treatment anddrainage stage (“D”) and water return to natural ecological (ecology) environment for dilution, degradation stage (“E”).on the analysis above,SUDE theoretical model of water system has been built and corresponding evaluation index systemhas therefore been established. Then, we use entropy weight TOPSIS method to evaluate thesustainability of water resource during 2013∼2017 yearsin Wuhan, and finally the corresponding conclusions and suggestion have been drawn according to the result of evaluation in the paper.
The Study of Grading Method and Application Performance of Management Systems of Rural Potable Water Treatment Plants
Authors: Qiu Xinkai , Lu Cheng , Zhou Yinying , Chen Shuyang
Published: November 2021

The application of management systems can solve the manage problems and improve the potable water safety for rural potable water treatment plants. The systems in Zhejiang province, China are studied and the system grading method is proposed as attendance management (G1), basic automatic management (G2), quantity-based automatic management (G3), quality-based intelligent management (G4), quality-based & feedback controlled intelligent management (G5). G3 to G5 systems can achieve remote control and G4, G5 systems can guarantee the finished water quality theoretically. The application performance of the management systems shows G5 system has the lowest allocated annual cost as 11500 RMB per year when used to service life as 5 years (23.37% of G1 system). By using G5 system, the finished water turbidity is below 0.8 NTU, pH is between 7.6 to 8.2, and the qualification rate of residual chlorine is above 92.5%, which performances better than G3 system with finished water turbidity below 9.7 NTU, pH between 7.3 to 8.2, and the qualification rate of residual chlorine above 88.7%. G5 system is recommended when the plant is hard to be staffed or the inlet water quality is not good. G3 system is recommended when the inlet water quality is good or the purchase budget is limited.
Application of Particle Swarm Optimization in Formulation Design of Pig Feed
Authors: Zeng Meijuan , Li Hao
Published: November 2021

Feed formula design is the core technology of accurate feeding management of livestock and poultry. High quality feed formula can not only improve the comprehensive and effective utilization of feed, give full play to the growth performance of animals, but also reduce production costs, so as to improve the economic benefits of farmers. Due to the characteristics of fast convergence speed and strong optimization ability of particle swarm optimization algorithm, this paper adopts particle swarm optimization algorithm to solve the pig feed formula, and builds the simulation model of the pig feed formula through Matlab to find the optimal solution for the feed formula. At the same time, compared with the traditional linear programming method, the simulation results show that, compared with the traditional linear programming method, the particle swarm optimization algorithm has better optimization results in solving the feed formulation problem.
A Comprehensive Energy Optimized Operation Strategy Based on Energy Storage Model
Authors: Ma Bi-yan , Zhang Xiao-dan , Zhou Hao-jie
Published: November 2021

The unified modeling of distributed resources in comprehensive energy parks is the basis to achieving energy scheduling. This article first analyzed the key modeling elements of the energy storage model, the conversion of central air conditioning and ice storage to the energy storage model was completed. Finally, based on the unified energy storage model in combination with the time-of-use electricity prices and load conditions of the park, the local economic operation strategy of distributed resources was realized. The energy storage model and local operation strategy were used as the edge computing of the energy management gateway, which realized the real-time status monitoring and economic operation scheduling of the comprehensive energies. This study provides local solutions for the economic operation of comprehensive energy parks.
Forecasting emergency department admissions
Authors: Rocha Carlos Narciso , Rodrigues Fátima
Published: November 2021

The emergency department of a hospital plays an extremely important role in the healthcare of patients. To maintain a high quality service, clinical professionals need information on how patient flow will evolve in the immediate future. With accurate emergency department forecasts it is possible to better manage available human resources by allocating clinical staff before peak periods, thus preventing service congestion, or releasing clinical staff at less busy times. This paper describes a solution developed for the presentation of hourly, four-hour, eight-hour and daily number of admissions to a hospital’s emergency department. A 10-year history (2009–2018) of the number of emergency admissions in a Portuguese hospital was used. To create the models several methods were tested, including exponential smoothing, SARIMA, autoregressive and recurrent neural network, XGBoost and ensemble learning. The models that generated the most accurate hourly time predictions were the recurrent neural network with one-layer (sMAPE = 23.26%) and with three layers (sMAPE = 23.12%) and XGBoost (sMAPE = 23.70%). In terms of efficiency, the XGBoost method has by far outperformed all others. The success of the recurrent neuronal network and XGBoost machine learning methods applied to the prediction of the number of emergency department admissions has been demonstrated here, with an accuracy that surpasses the models found in the literature.
Alleviating the independence assumptions of averaged one-dependence estimators by model weighting
Authors: Wang Li-Min , Chen Peng , Mammadov Musa , Liu Yang , Wu Si-Yuan
Published: November 2021

Of numerous proposals to refine naive Bayes by weakening its attribute independence assumption, averaged one-dependence estimators (AODE) has been shown to be able to achieve significantly higher classification accuracy at a moderate cost in classification efficiency. However, all one-dependence estimators (ODEs) in AODE have the same weights and are treated equally. To address this issue, model weighting, which assigns discriminate weights to ODEs and then linearly combine their probability estimates, has been proved to be an efficient and effective approach. Most information-theoretic weighting metrics, including mutual information, Kullback-Leibler measure and the information gain, place more emphasis on the correlation between root attribute (value) and class variable. We argue that the topology of each ODE can be divided into a set of local directed acyclic graphs (DAGs) based on the independence assumption, and multivariate mutual information is introduced to measure the extent to which the DAGs fit data. Based on this premise, in this study we propose a novel weighted AODE algorithm, called AWODE, that adaptively selects weights to alleviate the independence assumption and make the learned probability distribution fit the instance. The proposed approach is validated on 40 benchmark datasets from UCI machine learning repository. The experimental results reveal that, AWODE achieves bias-variance trade-off and is a competitive alternative to single-model Bayesian learners (such as TAN and KDB) and other weighted AODEs (such as WAODE).
Differential evolution algorithm-based multiple-factor optimization methods for data assimilation
Authors: Bai Yulong , Wang Di , Wang Yizhao , Chang Mingheng
Published: November 2021

The methods of searching for optimized parameters have substantial effects on the forecast accuracy of ensemble data assimilation systems. The selection of these factors is usually performed using trial-and-error methods, and poor parameterizations may lead to filter divergence. Combined with the local ensemble transform Kalman filtering method (LETKF), a technique for an automated search of the best configuration (parameters) of a data assimilation system is proposed. To obtain better assimilation, a differential evolution (DE) algorithm-based multiple-factor parameterization method results in the corresponding circumstances. By combining with fast-searching DE algorithms, we may retrieve the most ideal parameter combinations. Several numerical experiments performed with the Lorenz-96 model show that new methods performed better than the original one-parameter optimization methods. As the basis of DE methods, the best combinations of the local radius and the covariance inflation parameter, which can guarantee the best DA performances in the corresponding circumstances, are retrieved. It is found that the new method is capable of outperforming previous search algorithms under both perfect and imperfect model scenarios, and the calculation cost in Lorenz-96 model is lower. However, how to apply the new proposed method to more complex atmospheric or land surface models requires further verification.
MEGA: Predicting the best classifier combination using meta-learning and a genetic algorithm
Authors: Golshanrad Paria , Rahmani Hossein , Karimian Banafsheh , Karimkhani Fatemeh , Weiss Gerhard
Published: November 2021

Classifier combination through ensemble systems is one of the most effective approaches to improve the accuracy of classification systems. Ensemble systems are generally used to combine classifiers; However, selecting the best combination of individual classifiers is a challenging task. In this paper, we propose an efficient assembling method that employs both meta-learning and a genetic algorithm for the selection of the best classifiers. Our method is called MEGA, standing for using MEta-learning and a Genetic Algorithm for algorithm recommendation. MEGA has three main components: Training, Model Interpretation and Testing. The Training component extracts meta-features of each training dataset and uses a genetic algorithm to discover the best classifier combination. The Model Interpretation component interprets the relationships between meta-features and classifiers using a priori and multi-label decision tree algorithms. Finally, the Testing component uses a weighted k-nearest-neighbors algorithm to predict the best combination of classifiers for unseen datasets. We present extensive experimental results that demonstrate the performance of MEGA. MEGA achieves superior results in a comparison of three other methods and, most importantly, is able to find novel interpretable rules that can be used to select the best combination of classifiers for an unseen dataset.
Multidimensional indexing technique for medical images retrieval
Authors: Safaei Ali Asghar , Habibi-Asl Saeede
Published: November 2021

Retrieving required medical images from a huge amount of images is one of the most widely used features in medical information systems, including medical imaging search engines. For example, diagnostic decision making has traditionally been accompanied by patient data (image or non-image) and previous medical experiences from similar cases. Indexing as part of search engines (or retrieval system), increases the speed of a search. The goal of this study, is to provide an effective and efficient indexing technique for medical images search engines. In this paper, in order to archive this goal, a multidimensional indexing technique for medical images is designed using the normalization technique that is used to reduce redundancy in relational database design. Data structure of the proposed multidimensional index and also different required operations are designed to create and handle such a multidimensional index. Time complexity of each operation is analyzed and also average memory space required to store any medical image (along with its related metadata) is calculated as the space complexity analysis of the proposed indexing technique. The results show that the proposed indexing technique has a good performance in terms of memory usage, as well as execution time for the usual operations. Moreover, and may be more important, the proposed indexing techniques improves the precision and recall of the information retrieval system (i.e., search engine) which uses this technique for indexing medical images. Besides, a user of such search engine can retrieve medical images which s/he has specified its attributes is some different aspects (dimensions), e.g., tissue, image modality and format, sickness and trauma, etc. So, the proposed multidimensional indexing techniques can improve effectiveness of a medical image information retrieval system (in terms of precision and recall), while having a proper efficiency (in terms of execution time and memory usage), and can improve the information retrieval process for healthcare search engines.
Privacy preserving defect prediction using generalization and entropy-based data reduction
Authors: Saifan Ahmad A. , Lataifeh Zainab
Published: November 2021

The software engineering community produces data that can be analyzed to enhance the quality of future software products, and data regarding software defects can be used by data scientists to create defect predictors. However, sharing such data raises privacy concerns, since sensitive software features are usually considered as business assets that should be protected in accordance with the law. Early research efforts on protecting the privacy of software data found that applying conventional data anonymization to mask sensitive attributes of software features degrades the quality of the shared data. In addition, data produced by such approaches is not immune to attacks such as inference and background knowledge attacks. This research proposes a new approach to share protected release of software defects data that can still be used in data science algorithms. We created a generalization (clustering)-based approach to anonymize sensitive software attributes. Tomek link and AllNN data reduction approaches were used to discard noisy records that may affect the usefulness of the shared data. The proposed approach considers diversity of sensitive attributes as an important factor to avoid inference and background knowledge attacks on the anonymized data, therefore data discarded is removed from both defective and non-defective records. We conducted experiments conducted on several benchmark software defect datasets, using both data quality and privacy measures to evaluate the proposed approach. Our findings showed that the proposed approach outperforms existing well-known techniques using accuracy and privacy measures.
An improved YOLOv3 model for detecting location information of ovarian cancer from CT images
Authors: Wang Xun , Li Hanlin , Wang Lisheng , Yu Yongzhi , Zhou Hao , Wang Lei , Song Tao
Published: November 2021

Ovarian cancer is a malignant tumor that poses a serious threat to women’s lives. Computer-aided diagnosis (CAD) systems can classify the type of ovarian tumors, but few of them can provide exactly the location information of ovarian cancer cells. Recently, deep learning technology becomes hot for automatic detection of cancer cells, particularly for detecting their locations. In this work, we propose a novel end-to-end network YOLO-OC (Ovarian cancer) model, which can extract the characteristics of ovarian cancer more efficiently. In our method, deformable convolution is used to enhance the model’s ability to learn geometric deformation in space. Squeeze-and-Excitation (SE) module is proposed to automatically learn the importance of different channel features. Data experiments are conducted on datasets collected from The Affiliated Hospital of Qingdao University Medical College, China. Experimental results show that our YOLO-OC model achieves 91.83%, 85.66% and 73.82% on mean average precision mAP@.5, mAP@.75 and mAP@[.5,.95], respectively, which performs better than Faster R-CNN, SSD and RetinaNet on both accuracy and efficiency.
Sloping Shoulders Sign: A Practical Radiological Sign for the Differentiation of Alzheimer’s Disease and Argyrophilic Grain Disease
Authors: Sakurai Keita , Iwase Tamaki , Kaneda Daita , Uchida Yuto , Inui Shohei , Morimoto Satoru , Kimura Yasuyuki , Kato Takashi , Nihashi Takashi , Ito Kengo , Hashizume Yoshio
Published: November 2021

Background: Although hippocampal atrophy is a well-known imaging biomarker of Alzheimer’s disease (AD), this finding is not useful to differentiate AD from argyrophilic grain disease (AGD) which is a common AD mimicker presenting with similar amnestic symptoms and medial temporal atrophy. Instead, we propose use of the “sloping shoulders sign”, defined as a distinct configuration of the bilateral hippocampal heads showing lateral and downward slopes on axial magnetic resonance imaging (MRI). Objective: We investigated the diagnostic utility of the “sloping shoulders sign” as a simple radiological discriminator of AD from AGD. Methods: Using axial and coronal three-dimensional MRI, our newly proposed “sloping shoulders sign”, other quantitative indices including the axial hippocampal head angle (AHHA), and well-known medial temporal atrophy (MTA) score were evaluated in pathologically-proven 24 AD and 11 AGD patients. Results: Detection rate of the “sloping shoulders sign” was significantly higher in all AD groups (83%; 20/24) and AD with Braak neurofibrillary tangle V/VI stage subgroup (88%; 15/17) than in AGD patients (18% – 2/11; p < 0.001 and p < 0.001, respectively). In contrast to the MTA score, this sign as well as AHHA demonstrated higher diagnostic performance and reproducibility, especially to differentiate all AD patients from AGD ones (accuracies of 71.4% , 82.9% and 82.9%; Cohen’s kappa of 0.70 and 0.81, and intraclass correlation coefficient of 0.96, respectively). Conclusion: The “sloping shoulders sign” is useful to differentiate advanced-stage AD from AGD. Its simplicity and reproducibility based on visual inspection using axial MRI make it suitable for routine clinical practice.
The Resilience Index: A Quantifiable Measure of Brain Health and Risk of Cognitive Impairment and Dementia
Authors: Galvin James E. , Kleiman Michael J. , Chrisphonte Stephanie , Cohen Iris , Disla Shanell , Galvin Conor B. , Greenfield Keri K. , Moore Claudia , Rawn Susan , Riccio Mary Lou , Rosenfeld Amie , Simon Judith , Walker Marcia , Tolea Magdalena I.
Published: November 2021

Background: There is increasing interest in lifestyle modification and integrative medicine approaches to treat and/or prevent mild cognitive impairment (MCI) and Alzheimer’s disease and related dementias (ADRD). Objective: To address the need for a quantifiable measure of brain health, we created the Resilience Index (RI). Methods: This cross-sectional study analyzed 241 participants undergoing a comprehensive evaluation including the Clinical Dementia Rating and neuropsychological testing. Six lifestyle factors including physical activity, cognitive activity, social engagements, dietary patterns, mindfulness, and cognitive reserve were combined to derive the RI (possible range of scores: 1–378). Psychometric properties were determined. Results: The participants (39 controls, 75 MCI, 127 ADRD) had a mean age of 74.6±9.5 years and a mean education of 15.8±2.6 years. The mean RI score was 138.2±35.6. The RI provided estimates of resilience across participant characteristics, cognitive staging, and ADRD etiologies. The RI showed moderate-to-strong correlations with clinical and cognitive measures and very good discrimination (AUC: 0.836; 95% CI: 0.774–0.897) between individuals with and without cognitive impairment (diagnostic odds ratio = 8.9). Individuals with high RI scores (> 143) had better cognitive, functional, and behavioral ratings than individuals with low RI scores. Within group analyses supported that controls, MCI, and mild ADRD cases with high RI had better cognitive, functional, and global outcomes than those with low RI. Conclusion: The RI is a brief, easy to administer, score and interpret assessment of brain health that incorporates six modifiable protective factors. Results from the RI could provide clinicians and researchers with a guide to develop personalized prevention plans to support brain health.
Bullet for periodontal disease in future: Chemically modified tetracyclines
Authors: Sachdeva Shivani , Mani Ameet , Saluja Harish
Published: November 2021

Chronic periodontitis is nowadays popularly regarded as Dysbiosis, [1] which causes destruction of tissues rich in collagen like periodontal ligament, alveolar bone and gingival connective tissue. The oral biofilm comprises many periodontal pathogens better regarded as ‘triggers’ in causing chronic periodontitis. Since, not everyone will be affected in the same manner due to periodontal pathogens. Some might not elicit a host response while, the others might have exaggerated response. So, host modulation therapy came into existence to counteract the exaggerated host response. The chemically modified tetracyclines (CMTs) have emerged to inhibit the inflammatory response or to reduce the collagenolytic activity of host. Though a derivative of tetracyclines, it still lacks an antimicrobial action and hence, can be used for periodontitis for longer duration with no adverse effects of gastrointestinal toxicity which parent tetracyclines have.
Enterprise target cost control algorithm based on hypercycle model
Authors: Zhang Wubing , Cheng Zhi
Published: November 2021

Considering that the current cost control algorithm has the problems of poor control effect and high cost of manpower and material resources in enterprise cost control, a target cost control algorithm based on Hypercycle model is proposed. By analyzing the relationship between capital, price, technology and target cost control, this paper analyzes the influence of uncertain factors on target cost, and constructs a cost control super cycle model to realize enterprise cost control. Examples show that the algorithm can effectively improve the cost effect of enterprises, and has the practicability of reducing enterprise costs and improving enterprise profits.
Calculation of regional agricultural production efficiency and empirical analysis of its influencing factors-based on DEA-CCR model and Tobit model
Authors: Zhou Pengfei , Yang Siyuan , Wu Xiaohang , Shen Yang
Published: November 2021

The improvement of agricultural production efficiency and the transformation of production mode are the core of promoting agricultural modernization. Taking Chongqing as a sample case, this paper uses DEA-CCR Model, Malmquist Index and Tobit Model to calculate and analyze its agricultural production efficiency and its influencing factors, and accurately identifies the problems existing in its agricultural transformation and development. It has an important policy reference value for improving agricultural innovation and competitiveness, promoting the steady development of rural revitalization, and realizing agricultural modernization, which also provides some reference and enlightenment for countries or regions with similar characteristics of mountain agriculture development in the world to enhance regional agricultural production efficiency. Through empirical analysis and investigation, it is found that the overall agricultural production efficiency of Chongqing remains at the productivity level of 0.8 from 2009 to 2018, with an average annual growth rate of 12.8%, but there is a large gap in the level of regional development. Through Malmquist Index decomposition, it is found that agricultural technology progress has the greatest contribution to the improvement of production efficiency. Financial support for agriculture, urbanization level, regional economic development level and highway mileage have a significant positive impact on production efficiency, while the level of farmers’ disposable income has a negative impact on the increase of production efficiency, and the income gap between urban and rural residents fails to pass the significance test.
The organization of masses’ spontaneous sports activities based on BP neural network model
Authors: Wang Xiangling , Wang Xiangying
Published: November 2021

Chinese government has made huge efforts in improving people’s spiritual and cultural life, but effects are far from satisfactory. The organization of masses’ spontaneous sports activities is the basic countermeasure to improve this situation, for it can not only reduce the government economic investment, but also meet the needs of people’s physical exercises. This paper takes five parks – Sunrise Park, Temple of Heaven Park, Beihai Park, Yu Yuantan Park and Purple Bamboo Park – in Beijing city as research objects, and makes the research on the current developing situations of the organization of masses’ spontaneous sports activities. Based on BP neural network model, the paper makes analysis according to the masses’ weekly exercises frequency and duration in the above-mentioned five parks. The results show that the organization of masses’ spontaneous sports activities in Temple of Heaven Park and Beihai Park is going quite well, while the situation of Sunrise Park and Purple Bamboo Park is far from that good.
Risk assessment of coal mine safety production management activities based on FMEA-BN
Authors: Wang Xiaochuan , Wang Huixian
Published: November 2021

At present, the situation of coal mine safety production is still grim. The key to solve the problem is to analyze the risk of management activities in the process of coal mine safety production. This paper takes the management activities in the process of coal mine safety production as the research object. Firstly, according to the coal mine safety production standardization management system, the safety production management activities are carried out layer by layer. Then, the Failure Mode and Effect Analysis (FMEA) is used to identify the human errors that lead to the failure of management activities at all levels of coal mine. Furthermore, the Fuzzy Set Theory is used to determine the evaluation results of experts on the risk level of coal mine safety production management activities. Combined with Bayesian network (BN), the risk assessment model of coal mine safety production management activities is established. Through the model, the risk probability of coal mine enterprise management activities is accurately calculated. According to the evaluation results, the risk of management activities in coal mine safety production is analyzed.