bluuebunny/crossref_metadata_2025 huggingface dataset:
Detection for All Zero Coefficient Blocks in HEVC Based on Uniform Quantizer
Authors: Shan Nana , Wei Henglu , Zhou Wei , Duan Zhemin
Published: November 2021

Transform and quantization are adopted in HEVC. There are lots of all zero coefficient blocks in transform and quantization. By detecting all zero coefficient blocks, the complexity of transform or quantization can be greatly reduced. All zero coefficient blocks for uniform quantizer can be efficiently detected by comparing the float quantization level of the estimated coefficients with an explicit threshold. The experimental result shows that 50% complexity of transform or quantization for uniform quantizer can be reduced with negligible loss of video coding efficiency.
Location Optimization of Hydrogen Refueling Stations in Hydrogen Expressway Based on Hydrogen Supply Chain Cost
Authors: Wang Dongxing , Wang Zhe , Han Fenghui , Zhao Fan , Ji Yulong
Published: November 2021

Hydrogen energy is regarded as an important way to achieve carbon emission reduction. This paper focuses on the combination of the design of the hydrogen supply chain network and the location of hydrogen refueling stations on the expressway. Based on the cost analysis of the hydrogen supply chain, a multi-objective model is developed to determine the optimal scale and location of hydrogen refueling stations on the hydrogen expressway. The proposed model considers the hydrogen demand forecast, hydrogen source selection, hydrogen production and storage and transportation, hydrogen station refueling mode, etc. Taking Dalian City, China as an example, with offshore wind power as a reliable green hydrogen supply to select the location and capacity of hydrogen refueling stations for the hydrogen energy demonstration section of a certain expressway under multiple scenarios. The results of the case show that 4 and 5 stations are optimized on the expressway section respectively, and the unit hydrogen cost is $14.3 /kg H2 and $11.8 /kg H2 respectively, which are equal to the average hydrogen price in the international range. The optimization results verify the feasibility and effectiveness of the model.
Integrated Urban Energy Planning: A Case-Study Using Optimization
Authors: Guo Jingbo , Bissuel Côme , Courtot Francois
Published: November 2021

This article describes an integrated energy planning optimization case-study. Starting from an integrated urban energy planning practice based on the urban planning information, an optimization approach is implemented to support decisions on suitable energy structures. Based on a use-case, energy demand, renewable energy resources, energy policy and energy prices are analyzed and set as inputs of the optimization. The results are energy structures minimizing the cost for two separated zones. Meanwhile, under different scenarios, in terms of renewable ratio targets and thermal storage, comparison is made for illustrating economy differences. The optimization mentioned in the article is modelled as a Mixed-Integer Linear Programming problem, which can search the optimal solution with high efficiency among the possible system designs.
Research on Key Issues of China’s Project Water Price
Authors: Zhou Yanchen , Tong Xiaoxia , Yin Zhengjie , Xu Lisi
Published: November 2021

Focusing on China’s current water price issues, such as “difficulty in pricing, adjustment, charging, and effectiveness” and the others, the current water conservancy project water supply system has been sorted out in terms of water price formation mechanism, water price composition, influencing factors, price system structure, and pricing technology. Quantitative analysis has been carried out on the problems with prices. At the same time, based on the experience and lessons of similar policies and system reforms at home and abroad, the study puts forward the long-term mechanism of water fee collection and subsidy and the implementation of safeguard measures and recommendations for the water supply price system of water conservancy projects.
About Strong Dependence of the Complexity of Analysis of the Random 3-CNF Formulas on the Ratio of Number of Clauses to the Number of Variables
Authors: Uvarov Sergey I.
Published: November 2021

The results of a computational experiment on the assessment of the complexity of proving the unsatisfiability of random 3-CNF logical formulas are presented. The dependence of the complexity of this proving on the R-ratio of the number of clauses to the number of variables is demonstrated. The computational experiment was carried out for the range of the N-number of variables from 256 to 512. An exponential dependence of the median complexity of proving the unsatisfiability of formulas on the number of variables was revealed for each of R value: 4.3, 4.6, 5.0, 5.5, 6.0. A formula is constructed that approximates the results of the experiment. According to this formula the exponential component of the median complexity of the analysis of random 3-CNF is estimated as 2 to the power N / (8.4R-17.8).
DYPLODOC: Dynamic Plots for Document Classification
Authors: Malysheva Anastasia , Tikhonov Alexey , Yamshchikov Ivan P.
Published: November 2021

Narrative generation and analysis are still on the fringe of modern natural language processing yet are crucial in a variety of applications. This paper proposes a feature extraction method for plot dynamics. We present a dataset that consists of the plot descriptions for thirteen thousand TV shows alongside meta-information on their genres and dynamic plots extracted from them. We validate the proposed tool for plot dynamics extraction and discuss possible applications of this method to the tasks of narrative analysis and generation.
Chained Digital Signature for the Improved Video Integrity Verification
Authors: Lawrence Linju , Shreelekshmi R
Published: November 2021

The recorded videos from the surveillance cameras can be used as potential evidence in forensic applications. These videos can be easily manipulated or tampered with video editing tools without leaving visible clues. Hence integrity verification is essential before using the videos as evidence. Existing methods mostly depend on the analysis of video data stream and video container for tampering detection. This paper discusses an active video integrity verification method using Elliptic Curve Cryptography and blockchain. The method uses Elliptic Curve Digital Signature Algorithm for calculating digital signature for video content and previous block. The digital signature of the encoded video segment (video content with predetermined size) and that of previous block are kept in each block to form an unbreakable chain. Our method does not consider any coding or compression artifacts of the video file and can be used on any video type and is tested on public-available standard videos with varying sizes and types. The proposed integrity verification scheme has better detection capabilities towards different types of alterations like insertion, copy-paste and deletion and can detect any type of forgery. This method is faster and more resistant to brute force and collision attacks in comparison to existing recent blockchain method.
High Payload Qr-Based Data Hiding Using Secured Compressed Watermark in Polar Domain
Authors: Irawati Indrarini Dyah , Budiman Gelar , Masykuroh Kholidiyah , Pradana Zein Hanni , Fahmi Arfianto
Published: November 2021

Audio Watermarking is a method to insert a copyright marker on audio. This method inserts a watermark in the information form and in a way that does not damage the audio. This technique is one of the ways to solve the problem of copyright infringement. The embedded watermark has to meet the condition of not damaging the audio and must have robustness, imperceptibility, and good capacity. The data hiding technique use the combined method of Lifting Wavelet Transform (LWT), Fast Fourier Transform (FFT), QR Decomposition and Reconstruction, and Cartesian-Polar Transformation (CPT) based on Quantization Index Modulation (QIM) with the secured and compressed watermark using Compressive Sampling (CS) technique. The proposed scheme is blind Audio Watermarking as it no needs for original audio in the detection process. The combination of methods overcomes multiple attacks with guaranteed quality watermarking and high capacity. Compared to the existing technique, the data hiding technique can withstand LPF attacks, Resampling, Linear speed change (LSC), and MP3 compression. This proposed technique is also secured due to the coded watermark by a particular random key using CS. Combining CS and Audio Watermarking techniques can perform well in capacity, imperceptibility, security, and attack resistance.
FTR-Based Expert System for Power Generation Units
Authors: Menn Naftaly , Chudnovsky Boris
Published: November 2021

The present expert system addresses the well-known problem existing on each large size boiler of a power generation utility - cleaning of fouling deposition created on the furnace walls and surfaces of heat exchangers. Continuous cleaning, which is a must, especially on large size units operated on fossil fuels, is very cumbersome and time-consuming procedure, mostly performed manually by technical staff sometime assisted by intelligence systems based on neural network. The expert system for cleaning suggested in the present study offers a new approach when the inference engine of the system is oriented to optimization of heat transfer inside the furnace. The target of optimization is maximization of the overall cleanliness factor of the furnace. On-going calculation of local heat transfer in different zones of the furnace is performed in real time by FTR devices positioned in different locations on the furnace wall and measuring continuously the Fouling Thickness and Reflectivity (FTR), along with local temperature of the flame. The system algorithm defines at each measurement cycle the optimal position where the next cleaning should be done and the corresponding signals are transferred by the system electronic circuitry to the controllers of the cleaning measures (the group of soot blowers to be activated). During the last two years our expert system has been successfully implemented on four coil-firing boilers of 500–600 MW on two power stations in Israel.
Context-Sensitive Control of Adaptation: Self-Modeling Networks for Human Mental Processes Using Mental Models
Authors: Bhalwankar Raj , van Ments Laila , Treur Jan
Published: November 2021

Within their mental and social processes, humans often learn, adapt and apply specific mental models of processes in the world or other persons, as a kind of blueprints. In this paper, it is discussed how analysis of this provides useful inspiration for the development of new computational approaches from a Machine Learning and Network-Oriented Modeling perspective. Three main elements are: applying the mental model by internal simulation, developing and revising a mental model by some form of adaptation, and exerting control over this adaptation in a context-sensitive manner. This concept of controlled adaptation relates to the Plasticity Versus Stability Conundrum from neuroscience. The presented analysis has led to a three-level computational architecture for controlled adaptation. It is discussed and illustrated by examples of applications how this three-level computational architecture can be specified based on a self-modeling network and used to model controlled learning and adaptation processes based on mental models in a context-sensitive manner.
Monitoring and Diagnosis System of Downhole Tubing Leakage
Authors: Yang Yunpeng , Fan Jianchun , Liu Di , Ma Fanfan
Published: November 2021

The downhole tubing in a gas well is affected by many factors such as high pressure erosion, gas lift operation, sand production at the bottom of the well and engineering construction, etc., which can easily lead to leakage of the threaded joints of the tubing and the pipe body, and the leaked natural gas will invade Annulus, making the annulus under pressure. The annular pressure caused by oil pipe leakage is a major safety hazard in oil and gas production. Therefore, the accurate diagnosis the degree of leakage of downhole tubing is of great significance to preventing the occurrence of production accidents effectively. To this end, a set of downhole tubing leak monitoring and diagnosis system has been developed by integrating fluid monitoring, acoustic wave detection and tracer detection technology, and the developed tubing leak monitoring and diagnosis system was used for leak detection tests on offshore platforms. The test results show that the developed tubing leakage monitoring and diagnosis system can meet the need of offshore gas well diagnosis, and realize the holographic diagnosis of the leakage degree of the downhole tubing without moving the downhole tubing string.
MD-SPKM: A set pair k-modes clustering algorithm for incomplete categorical matrix data
Authors: Zhang Chunying , Gao Ruiyan , Wang Jiahao , Chen Song , Liu Fengchun , Ren Jing , Feng Xiaoze
Published: November 2021

In order to solve the clustering problem with incomplete and categorical matrix data sets, and considering the uncertain relationship between samples and clusters, a set pair k-modes clustering algorithm is proposed (MD-SPKM). Firstly, the correlation theory of set pair information granule is introduced into k-modes clustering. By improving the distance formula of traditional k-modes algorithm, a set pair distance measurement method between incomplete matrix samples is defined. Secondly, considering the uncertain relationship between the sample and the cluster, the definition of the intra-cluster average distance and the threshold calculation formula to determine whether the sample belongs to multiple clusters is given, and then the result of set pair clustering is formed, which includes positive region, boundary region and negative region. Finally, through the selected three data sets and four contrast algorithms for experimental evaluation, the experimental results show that the set pair k-modes clustering algorithm can effectively handle incomplete categorical matrix data sets, and has good clustering performance in Accuracy, Recall, ARI and NMI.
Mutual information-based multi-output tree learning algorithm
Authors: Kang Hyun-Seok , Jun Chi-Hyuck
Published: November 2021

A tree model with low time complexity can support the application of artificial intelligence to industrial systems. Variable selection based tree learning algorithms are more time efficient than existing Classification and Regression Tree (CART) algorithms. To our best knowledge, there is no attempt to deal with categorical input variable in variable selection based multi-output tree learning. Also, in the case of multi-output regression tree, a conventional variable selection based algorithm is not suitable to large datasets. We propose a mutual information-based multi-output tree learning algorithm that consists of variable selection and split optimization. The proposed method discretizes each variable based on k-means into 2–4 clusters and selects the variable for splitting based on the discretized variables using mutual information. This variable selection component has relatively low time complexity and can be applied regardless of output dimension and types. The proposed split optimization component is more efficient than an exhaustive search. The performance of the proposed tree learning algorithm is similar to or better than that of a multi-output version of CART algorithm on a specific dataset. In addition, with a large dataset, the time complexity of the proposed algorithm is significantly reduced compared to a CART algorithm.
Attention mechanism based LSTM in classification of stressed speech under workload
Authors: Yao Xiao , Sheng Zhengyan , Gu Min , Wang Haibin , Xu Ning , Liu Xiaofeng
Published: November 2021

In order to improve the robustness of speech recognition systems, this study attempts to classify stressed speech caused by the psychological stress under multitasking workloads. Due to the transient nature and ambiguity of stressed speech, the stress characteristics is not represented in all the segments in stressed speech as labeled. In this paper, we propose a multi-feature fusion model based on the attention mechanism to measure the importance of segments for stress classification. Through the attention mechanism, each speech frame is weighted to reflect the different correlations to the actual stressed state, and the multi-channel fusion of features characterizing the stressed speech to classify the speech under stress. The proposed model further adopts SpecAugment in view of the feature spectrum for data augment to resolve small sample sizes problem among stressed speech. During the experiment, we compared the proposed model with traditional methods on CASIA Chinese emotion corpus and Fujitsu stressed speech corpus, and results show that the proposed model has better performance in speaker-independent stress classification. Transfer learning is also performed for speaker-dependent classification for stressed speech, and the performance is improved. The attention mechanism shows the advantage for continuous speech under stress in authentic context comparing with traditional methods.
Time-series data dynamic density clustering
Authors: Chen Hao , Xia Yu , Pan Yuekai , Yang Qing
Published: November 2021

In many clustering problems, the whole data is not always static. Over time, part of it is likely to be changed, such as updated, erased, etc. Suffer this effect, the timeline can be divided into multiple time segments. And, the data at each time slice is static. Then, the data along the timeline shows a series of dynamic intermediate states. The union set of data from all time slices is called the time-series data. Obviously, the traditional clustering process does not apply directly to the time-series data. Meanwhile, repeating the clustering process at every time slices costs tremendous. In this paper, we analyze the transition rules of the data set and cluster structure when the time slice shifts to the next. We find there is a distinct correlation of data set and succession of cluster structure between two adjacent ones, which means we can use it to reduce the cost of the whole clustering process. Inspired by it, we propose a dynamic density clustering method (DDC) for time-series data. In the simulations, we choose 6 representative problems to construct the time-series data for testing DDC. The results show DDC can get high accuracy results for all 6 problems while reducing the overall cost markedly.
Detecting a multigranularity event in an unequal interval time series based on self-adaptive segmenting
Authors: Li Haibo , Yu Yongbo
Published: November 2021

Analyzing the temporal behaviors and revealing the hidden rules of objects that produce time series data to detect the events that users are interested in have recently received a large amount of attention. Generally, in various application scenarios and most research works, the equal interval sampling of a time series is a requirement. However, this requirement is difficult to guarantee because of the presence of sampling errors in most situations. In this paper, a multigranularity event detection method for an unequal interval time series, called SSED (self-adaptive segmenting based event detection), is proposed. First, in view of the trend features of a time series, a self-adaptive segmenting algorithm is proposed to divide a time series into unfixed-length segmentations based on the trends. Then, by clustering the segmentations and mapping the clusters to different identical symbols, a symbol sequence is built. Finally, based on unfixed-length segmentations, the multigranularity events in the discrete symbol sequence are detected using a tree structure. The SSED is compared to two previous methods with ten public datasets. In addition, the SSED is applied to the public transport systems in Xiamen, China, using bus-speed time-series data. The experimental results show that the SSED can achieve higher efficiency and accuracy than existing algorithms.
An improved OPTICS clustering algorithm for discovering clusters with uneven densities
Authors: Tang Chunhua , Wang Han , Wang Zhiwen , Zeng Xiangkun , Yan Huaran , Xiao Yingjie
Published: November 2021

Most density-based clustering algorithms have the problems of difficult parameter setting, high time complexity, poor noise recognition, and weak clustering for datasets with uneven density. To solve these problems, this paper proposes FOP-OPTICS algorithm (Finding of the Ordering Peaks Based on OPTICS), which is a substantial improvement of OPTICS (Ordering Points To Identify the Clustering Structure). The proposed algorithm finds the demarcation point (DP) from the Augmented Cluster-Ordering generated by OPTICS and uses the reachability-distance of DP as the radius of neighborhood eps of its corresponding cluster. It overcomes the weakness of most algorithms in clustering datasets with uneven densities. By computing the distance of the k-nearest neighbor of each point, it reduces the time complexity of OPTICS; by calculating density-mutation points within the clusters, it can efficiently recognize noise. The experimental results show that FOP-OPTICS has the lowest time complexity, and outperforms other algorithms in parameter setting and noise recognition.
Walking While Talking and Prefrontal Oxygenation in Motoric Cognitive Risk Syndrome: Clinical and Pathophysiological Aspects
Authors: Udina Cristina , Ayers Emmeline , Inzitari Marco , Verghese Joe
Published: November 2021

Background: Motoric cognitive risk syndrome (MCR) combines slow gait and cognitive complaints and has been proposed as a predementia syndrome. The nature of dual-task performance in MCR has not been established. Objective: To assess differences in dual-task performance between participants with and without MCR and to study the prefrontal cortex (PFC)-based brain activity during dual-task using functional near-infrared spectroscopy. Methods: Cohort study of community-dwelling non-demented older adults included in the “Central Control of Mobility in Aging” study. Comprehensive assessment included global cognition and executive function tests along with clinical variables. Dual-task paradigm consisted in walking while reciting alternate letters of the alphabet (WWT) on an electronic walkway. We compared dual-task performance between MCR (n = 60) and No MCR (n = 478) participants and assessed the relationship of dual-task performance with cognitive function. In a subsample, we compared PFC oxygenation during WWT between MCR (n = 32) and No MCR (n = 293). Results: In our sample of 538 high-functioning older adults (76.6±6.5 years), with 11.2% prevalence of MCR, dual-task cost was not significantly different, compared to No MCR participants. Among MCR participants, no significant relationship was found between WWT velocity and cognitive function, whereas No MCR participants with better cognitive function showed faster WWT velocities. PFC oxygenation during WWT was higher in MCR compared to No MCR (1.02±1.25 versus 0.66±0.83, p = 0.03). Conclusion: MCR participants showed no significant differences in the dual-task cost while exhibiting higher PFC oxygenation during dual-task walking. The dual-task performance (WWT velocity) in MCR participants was not related to cognition.
The Association Between Hyperhidrosis and Dementia: A Community-Based Research
Authors: Gan Jinghuan , Liu Shuai , Wang Xiao-Dan , Hu Wenzheng , Lv Yang , Niu Jianping , Meng Xinling , Chen Yongjie , Shi Zhihong , Ji Yong
Published: November 2021

Background: Dementia and hyperhidrosis (HH) are common in the elderly while there is little research to investigate the association between them. Objective: To clarify a possible association between HH and dementia in population of adults ≥65 years old in China. Methods: A cross-sectional survey for elderly adults ≥65 years old was conducted from April to December 2019. A total of 5,958 participants were analyzed after two phases investigation. Goodness-of-fit tests (Pearson and deviance) were used to estimate the dispersion parameter and examine the adequacy of the models. Logistic and linear regression analyses were used to evaluate the association between HH and dementia. Results: The overall prevalence of all-cause dementia was 10.17%, that of dementia with Lewy bodies (DLB) was 1.41%, and HH was 14.97%. Prevalence rates of HH were higher in participants with dementia and DLB. There was a significant positive relationship between HH duration and MMSE score (r = 0.207, p < 0.001, Durbin-Watson test = 1.806). Participants with HH were 1.275 (95% CI: 1.015–1.601, p = 0.037) times to have dementia, and 3.616 (95% CI: 2.267–5.767, p < 0.001) times to suffer from DLB than those without HH. Pearson and deviance chi square tests did not indicate overdispersion (p > 0.05 in the logistic regression models). Conclusion: HH was common in the Chinese population ≥65 years old. It can increase the risk of dementia, particularly in DLB, in the elderly. It is important to improve the awareness of HH among dermatologists and neurologists.
Sensitivity analysis of the influencing factors of parking lot selection based on BP neural network
Authors: Yin Jingjing , Sun Qiang , Zhou Juan
Published: November 2021

The driver’s selection process of parking lot will consider a variety of influencing factors, and consider different influencing factors for different travel purposes. In this paper, the driver’s travel purposes were divided into three categories according to the degree of emergency: emergency, routine and leisure. Four influencing factors of parking lot selection including walking distance, charge, parking index and parking convenience were selected, and ranked according to their sensitivity, and their sensitivity was analyzed by using the BP (back propagation) neural network, which provides a basis for the development of differentiated parking guidance and parking management measures to avoid the uneven parking due to random selection of parking lot and realize the maximum utilization of parking resources.
Novel Pythagorean fuzzy entropy and Pythagorean fuzzy cross-entropy measures and their applications1
Authors: Li Longmei , Zheng Tingting , Yin Wenjing , Wu Qiuyue
Published: November 2021

Entropy and cross-entropy are very vital for information discrimination under complicated Pythagorean fuzzy environment. Firstly, the novel score factors and indeterminacy factors of intuitionistic fuzzy sets (IFSs) are proposed, which are linear transformations of membership functions and non-membership functions. Based on them, the novel entropy measures and cross-entropy measures of an IFS are introduced using Jensen Shannon-divergence (J-divergence). They are more in line with actual fuzzy situations. Then the cases of Pythagorean fuzzy sets (PFSs) are extended. Pythagorean fuzzy entropy, parameterized Pythagorean fuzzy entropy, Pythagorean fuzzy cross-entropy, and weighted Pythagorean fuzzy cross-entropy measures are introduced consecutively based on the novel score factors, indeterminacy factors and J-divergence. Then some comparative experiments prove the rationality and effectiveness of the novel entropy measures and cross-entropy measures. Additionally, the Pythagorean fuzzy entropy and cross-entropy measures are designed to solve pattern recognition and multiple criteria decision making (MCDM) problems. The numerical examples, by comparing with the existing ones, demonstrate the applicability and efficiency of the newly proposed models.
Hybrid structures applied to modules over semirings
Authors: Muhiuddin G. , John J. Catherine Grace , Elavarasan B. , Jun Y.B. , Porselvi K.
Published: November 2021

The concept of a hybrid structure in X -semimodules, where X is a semiring, is introduced in this paper. The notions of hybrid subsemimodule and hybrid right (resp., left) ideals are defined and discussed in semirings. We investigate the representations of hybrid subsemimodules and hybrid ideals using hybrid products. We also get some interesting results on t-pure hybrid ideals in X . Furthermore, we show how hybrid products and hybrid intersections are linked. Finally, the characterization theorem is proved in terms of hybrid structures for fully idempotent semirings.
Continual learning classification method with single-label memory cells based on the intelligent mechanism of the biological immune system
Authors: Li Dong , Gong Lanlan , Liu Shulin , Sun Xin , Gu Ming , Qian Kun
Published: November 2021

The traditional batch learning classification methods need to obtain all kinds of data once before training. This makes them unable to recognize the data from the unseen types and cannot continuously enhance their classification ability through learning the testing data in the testing process, because they lack continual learning ability. Inspired by the continual learning mechanism of the biological immune system (BIS), this paper proposed a continual learning classification method with single-label memory cells (S-CLCM). The type of testing data is identified by memory cells, and the data type from unseen types is determined by an affinity threshold. New memory cells are cultivated continuously by learning the testing data to enhance the classification ability of S-CLCM gradually. Every memory cell has the same size and a unique type. It becomes a standard batch learning classification method or a standard clustering method under certain conditions. Take the experiments on twenty benchmark datasets to estimate its classification performance and possible superiority. Results show S-CLCM has good performance when it becomes a standard batch learning classification method, and S-CLCM is superior to the other classical classification algorithms when the data from unseen types or new labeled data appear during the testing process. It can improve the classification accuracy by up to 33%, and by at least 14%.
Vestibular activities and participation measure: Turkish validity and reliability
Authors: Baydan-Aran Mine , Aran Orkun Tahir , Tokgöz-Yılmaz Suna
Published: November 2021

BACKGROUND: International Classification of Functioning, Disability and Health (ICF) has an important role in rehabilitation in terms of assessments. In the field of vestibular rehabilitation, Vestibular Activities of Participation (VAP) measure is the first assessment developed in a perspective of ICF. OBJECTIVE: It was aimed to adapt cross-culturally and analyze psychometric properties of VAP into Turkish Language. METHODS: The VAP was translated into Turkish language by the authors and back translated by a blind native English speaker. The final version was applied to 310 participants. Internal consistency was analyzed with Cronbach’s alpha and test-retest reliability analyzed with Intraclass Correlation coefficient (ICC). Validity of the scale investigated with Exploratory and Confirmatory Factor analysis (EFA and CFA). RESULTS: Cronbach’s alpha reliability coefficient was found 0.94, and the reliability of the subscales ranged from 0.75 to 0.95; ICC was found 0.94. VAP resulted 8-factor structure and explained 88%of the total variance. In CFA (χ2) / df ratio shows good agreement with 2.472 and the goodness of fit indices of TLI (0.814), CFI (0.893) and RMSEA (0.075) showed acceptable fit. CONCLUSIONS: This study showed that VAP-Turkish version is valid and reliable in Turkish speaking populations, and might be used to determine impact of vestibular disorders on activities and participation.
Integrative prevention and coordinated action toward primary, secondary and tertiary prevention in workplaces: A scoping review
Authors: Calvet Bénédicte , Vézina Nicole , Laberge Marie , Nastasia Iuliana , Sultan-Taïeb Hélène , Toulouse Georges , Rubiano Paula , Durand Marie-José
Published: November 2021

BACKGROUND: Integrated approaches are valued in several occupational health strategic programmatic orientations. A better understanding of the use of integrative prevention in coordinating measures is needed to develop its use in workplaces. OBJECTIVE: Identify workplace integrative prevention approaches and definitions of prevention (primary, secondary and tertiary) in the literature. METHODS: A scoping review was conducted following Arksey and O’Malley (2005). The literature search was carried out in three databases without date restrictions. In order to be retained, the articles needed to address at least two levels of prevention using an integrative approach in a workplace setting. A qualitative analysis was conducted. RESULTS: The review yielded 16 published articles between 1995 and 2017. The articles addressed mental health, musculoskeletal disorder prevention and comprehensive approaches. Integrative prevention approaches are diverse and are not always named as such. Prevention definitions are not homogenous. CONCLUSIONS: This review identified some of the integrative prevention characteristics aimed at coordinated action for prevention in the workplace and to clarify measures taken at different levels of prevention. Further studies are needed to elaborate on the implementation of integrative prevention in the workplace.
Regression model for predicting low work ability among sedentary aging workers
Authors: Hirapara Samruddhi , Vishal Kavitha , Girish N.
Published: November 2021

BACKGROUND: Work ability is the physical and psychological capacity of workers to meet the demands of a job; it declines with age, and the effect is multiplied in a sedentary job. Early detection of workers at risk would help to improve their functional capacity and work efficiency. OBJECTIVE: To identify factors and develop a prediction model for low work ability among sedentary aging office workers. METHODS: In this case-control study, work ability among sedentary aging workers was evaluated using a Work Ability Questionnaire (WAQ). The worker’s age, gender, BMI, marital status, years at work, diabetes, hypertension, diagnosed medical condition, musculoskeletal problems, medicine intake, menopause, physical activity, sedentary work behaviour and six job-related tasks were recorded. Multiple logistic regression was performed, and the odds ratio was calculated for the variables assessed. RESULTS: One hundred and fifty seven sedentary aging workers were assessed for 19 independent factors. BMI and years at work in the demographic domain, diagnosed medical condition and intake of medicine in the health-related domain and handgrip strength in the task domain were found to have a statistically significant odds ratio for poor work ability. CONCLUSIONS: The study identified factors influencing work ability among sedentary aging workers and a prediction model was developed.
PERBANDINGAN AKURASI PENGUKURAN KLOROFIL DAN KADAR NITROGEN ANTARA SPAD DENGAN NDVI PADA TANAMAN JAGUNG (Zea mays)
Authors: Farid Hanafiyanto  , Wahono
Published: November 2021

SPAD merupakan teknologi manual sebagai pendeteksi kandungan klorofil lapang. Penggunaan SPAD untuk mendeteksi kandungan klorofil dan menentukan kesehatan tanaman. SPAD membutuhkan waktu lama dan kurang efektif jika digunakan dalam suatu areal lahan yang luas. Perkembangan teknologi pertanian seperti UAV menjawab permasalahan dan kebutuhan masyarakat yang memiliki lahan yang luas, sehingga dapat menghemat waktu dan biaya. NDVI mempermudah mendeteksi kesehatan tanaman dengan melihat kandungan klorofil dan nitrogen pada tanaman. Tujuan penelitian ini yaitu (1) Mengetahui perbandingan akurasi pengukuran klorofil dan nitrogen antara SPAD dengan NDVI (2) Mengetahui perbandingan klorofil dan nitrogen hasil estimasi pendugaan SPAD dengan NDVI. Metode yang digunakan yaitu penentuan klorofil dan nitrogen di laboratorium, , Software ArcGIS untuk mengetahui nilai estimasi pendugaan, dan analisis data regresi dan uji T. Hasil penelitian menunjukkan nilai korelasi korelasi antara SPAD dan Klorofil Lab 0,8138. SPAD dan Nitrogen Lab 0,8725. NDVI dan Klorofil Lab 0,8882, dan NDVI dan Nitrogen Lab 0,9029. Hal ini menunjukkan hubungan yang sangat kuat dan hubungan yang searah antar variabel. Hasil uji T dua sampel berpasangan menunjukkan tidak terdapat perbedaan yang signifikan dari semua persamaan model dimana memiliki nilai t hitung lebih kecil dibandingkan dengan t tabel.
Morphological features of the skeleton of a chinchilla and a rat in a comparative aspect
Authors: Ziruk I. V. , Kopchekchi M. E. , Egunova A. V. , Yarosh Ya. E.
Published: November 2021

Exotic species of animals have recently become more and more popular and widespread; the approach to their diagnosis of diseases and treatment has its own nuances. Despite the similarity of species, there are differences that need to be taken into account. One of the fundamental problems of comparative anatomy is the disclosure of general patterns and specific features of the skeleton of animals. Despite the available detailed work in this direction, many questions concerning this problem still remain open and require further study.
The effect of helminthic invasion on the level of post-vaccination antibodies against canine distemper and parvovirus enteritis in dogs
Authors: Gerasimchik V. A. , Eremeev E. S.
Published: November 2021

Relevance. In the instructions for the use of vaccines for dogs, there is a clause prescribing mandatory anthelmintic treatment of the animal before vaccination. This is really a correct indication, since it is well known that helminthiasis affects the animal’s body, disrupting many metabolic processes and causing a number of pathological changes in the body. Helminthic infestations affect the level of immunity of the animal by changing the level of immunoglobulins, causing changes in the T- and B-systems of immunity. However, there is no data available in the literature describing how helminths affect the production of post-vaccination antibodies. This paper describes an experiment aimed at establishing how toxocara invasion affects the formation of post- vaccination immunity against canine distemper and parvovirus enteritis in dogs.Methods. The research was conducted in a shelter for neglected animals in Vitebsk. The object of research was two dogs aged 4 years and seven puppies aged 1–2 months. The animals were divided into two groups. The first group included one adult dog and four puppies. The second group included an adult dog and three puppies. Animals of both groups were vaccinated against carnivorous plague and parvovirus enteritis, but only animals of the second group were dewormed.Results. By evaluating the results of the study, it was found that helminthic invasion really hinders the development of post-vaccination immunity.
Hormonal state of breeding bulls after a long winter period of operation in the conditions of the Udmurt Republic
Authors: Abilov A. I. , Azhmyakov A. A. , Novgorodova I. P.
Published: November 2021

Relevance. The study will help to identify new perspectives in breeding; get new data about the biological processes occurring in the body of animals according to the endogenous hormones of breeding bulls. The hormonal-immunobiological relationship in the body of bulls and their adaptive ability in different climatic conditions is a very important issue today.Methods. The work was performed in a temperate continental climate with a long, snowy winter and warm summer in the conditions of the Udmurt Republic in the period from 2020 to 2021 on breeding bulls (n = 27) of modern breeding at the age of 15–69 months. The state of endogenous hormones testosterone, estradiol, thyroxine and cortisol after a long winter period was studied, depending on the age, breed and selection in the normal physiological functioning of breeding bulls. The average serum values of estradiol — 0.517 nmol/l, testosterone — 25.7 nmol/l, thyroxine — 74.7 nmol/l, cortisol — 420 nmol/l, and their cholesterol precursor at the level of 3.2 nmol/l were established in the blood of breeding bulls located in this region. It was found that, depending on age, there are differences in all the studied indicators, however, there is a reliability for thyroxine and cortisol. The concentration of cortisol by selection significantly differs in imported bulls of European selection from the Netherlands at the level of p > 0.05, which characterizes the presence of a certain stress adaptation factor in this group. In terms of variability, a significant difference between min and max indicators was noted for the concentration of testosterone, which varied between 2.4 nmol/l and 60 nmol/l, indicating the individuality of these hormones in breeding bulls in this region.Results. Based on the data obtained, the need to take these data into account when operating breeding bulls and analyzing sperm products, taking into account the concentration of these hormones, as well as the implementation of appropriate preventive measures, is revealed.
Alfalfa breeding for the foothill zone of the RSO — Alania
Authors: Doguzova N. N.
Published: November 2021

Alfalfa occupies a leading position among the crops used for obtaining renewable sources of protein and energy-saturated feed, as well as a mean of biological reclamation of agricultural land, preservation and improvement of soil fertility. The aim of the research is to study the economically valuable characteristics of various varieties of alfalfa to local soil and climatic conditions in terms of seed productivity and feed value. Promising varieties that combine high feed and seed productivity have been identified. According to the indicators of seed productivity, the alfalfa variety Lada was distinguished. In this variety, the indicators of green mass, dry matter and seed productivity are most successfully combined. The Lada variety surpassed the other varieties in seed productivity, the formation of beans with a large number of seeds by 7–9%. In the average of three years, the number of stems per 1 m2 was distinguished by the varieties Lada and Vega 87 — 110–120 pcs/m2. In these varieties, the number of internodes was 18 pieces, and in the standard Nakhodka — 14 pieces. In terms of the number of stems, 2 samples significantly exceeded the standard: Lada and Pastbischnaya 88. According to the yield of green mass and leafiness, the varieties of alfalfa Lada and Ve-ga 87 outperformed other varieties by 5–7%. In the future of our research, the selected varieties will be used to form new varieties.
Valores de normalidad de eosinófilos en mucosa gástrica y duodenal de niños referidos a endoscopía digestiva alta
Authors: Ortiz Marlene , Jaime Francisca , Ortiz Loreto , Carrasco Ruby , Orellana María José , Torres Javiera , Villagrán Andrea , Harris Paul R.
Published: November 2021

Con el aumento de la incidencia de alergias alimentarias, la presencia de eosinófilos (Eos) en la mucosa gastrointestinal ha recibido mayor atención. Sin embargo, los valores de normalidad para el recuento de Eos en estómago y duodeno en pacientes pediátricos son aún limitados.Objetivo: Estimar valores de referencia de Eos en biopsias de estómago y duodeno de niños referidos a endoscopía digestiva alta (EDA).Pacientes y Método: Estudio transversal de biopsias de niños referidos a EDA. Se analizó el informe endoscópico, test de ureasa para presencia de H. pylori y evaluación histológica (nº células/campo de aumento mayor o CAM). Se describe la distribución de Eos como mediana y desviación estandar, así como también la distribución percentilar, dado que los recuentos no tuvieron distribución normal. Se realizó análisis estadístico con test χ2 , test de Wilcoxon, análisis de la varianza y curvas de regresión lineal según correspondiera.Resultados: De 170 pacientes derivados a EDA, 72 cumplían con criterios de “normalidad” (EDA normal en análisis macroscópico, test de ureasa negativo y biopsia normal). La mediana de edad fue 11 años (rango 4-16), 68% niñas. El recuento de Eos (promedio ± 1DE) en cuerpo gástrico (n = 27) fue 1,06 ± 1,79 Eos/CAM, en antro gástrico (n = 72) fue 1,13 ± 1,79 Eos/HPF, y en duodeno (n = 30) fue 10,44 ± 7,09 Eos/CAM. No se encontraron diferencias significativas por edad y sexo, así como tampoco según infección por H. pylori (p = 0,095).Conclusiones: Se propone como rango de referencia en niños un conteo en cuerpo gástrico de 0-3 Eos/CAM, en antro de 0-3 Eos/CAM y en duodeno de 3-17 Eos/CAM. Incluso en medios con alta prevalencia de infección por H. pylori, el recuento de Eos no parece ser un elemento distintivo, y éstos están presentes normalmente en la mucosa gastroduodenal.
Macrólidos como posible causa de hipoacusia en la infancia
Authors: Borkoski Barreiro Silvia , Falcón González Juan Carlos , Chicharro Soria Isabel , Monedero Afonso Jaime , Ramos Macías Ángel
Published: November 2021

La hipoacusia súbita (HS) idiopática es una entidad relativamente frecuente en población adulta, y en la mayoría de los casos se desconoce su causa. Hay pocos estudios en edad pediátrica, siendo su diagnóstico y manejo un reto para los profesionales de salud.Objetivo: Relacionar la toma de macrólidos como agente causal de HS en pacientes pediátricos.Caso Clínico: Preescolar de 3 años sin antecedentes patológicos de interés, habiendo pasado screening auditivo neonatal y con desarrollo del lenguaje adecuado a la edad. Consultó por historia de proceso infeccioso de vía aérea superior tratado ambulatoriamente con azitromicina durante 3 días. Después de 1 semana de finalizado el antibiótico, evolucionó con HS bilateral, confirmada con Potenciales Evocados Auditivos de Tronco Cerebral (PEATC). Se trató con metilprednisolona oral y corticoterapia intratimpánica. Paralelamente se completó estudio de imágenes, laboratorio y genético descartando otras causas de HS, quedando como posibilidad diagnóstica el uso reciente de macrólidos. Al no observarse mejoría tras 6 semanas de tratamiento, constatado con la ausencia de respuesta en los Potenciales Evocados Auditivos de estado estable (PEAee) y PEATC, se realizó implantación coclear bilateral simultánea. En los 4 años de seguimiento, evolucionó con buen desarrollo del lenguaje y rendimiento escolar adecuado.Conclusiones: La ototoxicidad se debe tener presente frente a un caso de HS en la infancia. Un abordaje multidisciplinar permitirá un tratamiento eficaz en estos pacientes, en los que un manejo precoz con la ayuda auditiva adecuada permitirá restaurar la audición y alcanzar un desarrollo del habla y una competencia lingüística adecuada.
Transmisión vertical de COVID-19. ¿Qué dice la evidencia?
Authors: Poblete A. Carolina , Bancalari M. Aldo
Published: November 2021

La transmisión vertical del SARS-CoV-2 de la madre infectada al neonato es una interrogante y la res- puesta definitiva está en evaluación. Objetivo: Evaluar la evidencia disponible en la literatura respecto si la embarazada infectada por SARS-CoV-2 significa un riesgo potencial de transmisión vertical para el feto y/o recién nacido. Material y Método: Se realizó una revisión sistemática exploratoria utilizán- dose Science Direct, PubMed y Cochrane library para la búsqueda de los trabajos de investigación. Criterios de inclusión: estudios publicados de madres embarazadas con COVID-19 con resultados perinatales informados las primeras 72 horas postnatales. Resultados: Se encontraron 569 estudios; resultando duplicados 65; por lo cual se evaluaron 504, de los cuales se excluyeron 460. Se analiza- ron finalmente 42 trabajos de investigación que cumplían criterios de inclusión. Se describen 334 pacientes embarazadas con COVID-19 y 335 recién nacidos, de los cuales 20 presentaron infección por SARS-CoV-2, confirmada por PCR en hisopado nasofaríngeo. De estos, 18 se pesquisaron en las primeras 48 horas postparto y 12 presentaron sintomatología. La vía de parto más frecuente fue la ce- sárea en un 76,2%, y el rango de edad gestacional de los recién nacidos fue entre 26 y 40 semanas. En el 86,8% se realizó aislamiento del binomio madre-hijo. Conclusión: La transmisión vertical madre e hijo es posible, aunque infrecuente. Se requieren estudios prospectivos para poder determinar con certeza la posibilidad de la transmisión materno fetal in útero y sus consecuencias.