bluuebunny/crossref_metadata_2025 huggingface dataset:
THE PHENOMENON OF THE LEADERSHIP OF THE WORLD COUNTRIES IN THE MARKET HIGH TECHNOLOGIES
Authors:   Drohobych State Pedagogical University named after Ivan Franko, RIBCHUK A. , ZHURBA IGOR ,   Khmelnytskyi National University
Published: March 2022

In today’s globalized world, the level of technological development and innovation of the state is one of the main indicators of its competitiveness in the international arena. The country’s participation in the exchange of high technologies determines its success in world trade, as well as the profitability of national companies. For the state as a whole, knowledge-intensive technologies are a determining factor of economic development, the main source of replenishment of budget funds and a fundamental basis for ensuring its national security. Undoubtedly, international trade in high technologies is the most important factor in the country’s involvement in integration processes. Currently, a significant role in this process is played by innovation structures – various technology parks, innovation clusters, whose activities are aimed at developing and implementing new technologies. The latter become an important impetus for further globalization of world economic relations. The creation of a high-tech product and the corresponding integration of a state into the world market of high technologies determines its place and role in the modern system of international economic relations. The article examines the preconditions and current trends of the phenomenon of technological leadership of developed countries, which is explained by the massive redistribution of resources in the production chains of the new technological way with the simultaneous spread of relevant social and institutional innovations. The reasons for China’s technological breakthrough, which are due to financial assistance from the state through the creation of various funds to stimulate the development of high technology, are analyzed. It can exercise its leadership only in cooperation with existing global players in the high-tech market in conditions of open competition. The consequences of technological leadership of the USA, Germany, France and other leading countries in the market of high-tech products are revealed. State strategies for the development of high technologies support not only individual technologies, but also aimed at solving environmental problems, effective health care, increasing the mobility of factors of production. The potential economic effect of the introduction of new technologies by all actors in the world economy is shown.
Endothelial glycocalyx damage in patients with severe COVID-19 on mechanical ventilation – A prospective observational pilot study
Authors: Astapenko David , Tomasova Adela , Ticha Alena , Hyspler Radomir , Chua Huey Shin , Manzoor Mubashar , Skulec Roman , Lehmann Christian , Hahn Robert G. , Malbrain Manu LNG , Cerny Vladimir
Published: March 2022

BACKGROUND: Coronavirus disease (COVID-19) associated endotheliopathy and microvascular dysfunction are of concern. OBJECTIVE: The objective of the present single-center observational pilot study was to compare endothelial glycocalyx (EG) damage and endotheliopathy in patients with severe COVID-19 (COVID-19 group) with patients with bacterial pneumonia with septic shock (non-COVID group). METHODS: Biomarkers of EG damage (syndecan-1), endothelial cells (EC) damage (thrombomodulin), and activation (P-selectin) were measured in blood on three consecutive days from admission to the intensive care unit (ICU). The sublingual microcirculation was studied by Side-stream Dark Field (SDF) imaging with automatic assessment. RESULTS: We enrolled 13 patients in the non-COVID group (mean age 70 years, 6 women), and 15 in the COVID-19 group (64 years old, 3 women). The plasma concentrations of syndecan-1 were significantly higher in the COVID-19 group during all three days. Differences regarding other biomarkers were not statistically significant. The assessment of the sublingual microcirculation showed improvement on Day 2 in the COVID-19 group. Plasma levels of C-reactive protein (CRP) were significantly higher on the first two days in the COVID-19 group. Plasma syndecan-1 and CRP were higher in patients suffering from severe COVID-19 pneumonia compared to bacterial pneumonia patients. CONCLUSIONS: These findings support the role of EG injury in the microvascular dysfunction in COVID-19 patients who require ICU.
Ergonomic work from home and occupational health problems amid COVID-19
Authors: Ahmed Shuaib , Qamar Faisal , Soomro Suhaib Ahmed
Published: March 2022

BACKGROUND: The COVID-19 pandemic has displaced millions of people worldwide, forcing them to work from home offices in a situation of “new normal". Many home office workers were pushed to work in less than ideal settings in the pandemic situation. Work from home causes complications for employees related to their home workplaces lacking appropriate support from the employers. OBJECTIVE: This article aims to analyse how pandemic has changed and affected workplace ergonomics. We addressed, amidst the pandemic, how work is being performed, the layout of the workplace, and its effects on an employee at home workplace. METHODS: In this descriptive study, we used chain referral sampling to collect data from 273 home-based faculty members employed in the universities and HEIs of Pakistan. Finally, we used inferential statistics for our data analysis. RESULTS: Results showed that employees faced problems because they had no prior training for setting up an ergonomically proper workspace. According to the results based on home-based ergonomic examinations, difficulties were associated with using laptops, desktop computers, and nonadjustable seats with no functionalities of flexibility and armrests. CONCLUSIONS: It is vital to employ appropriate instruments and mechanisms, like risk assessment, feedback for the actions performed, and the deployment of adaptive measures (similar to the preventive system of management of occupational safety and health - OSH). These tools must be regularly utilised and/or modified as the scenario changes.
The effect of performance appraisal politics on deviant work behavior: The mediating role of job satisfaction
Authors: Nagi Arsalan Haider , Asad Muhammad , Khalid Zeeshan , Bibi Asia
Published: March 2022

BACKGROUND: Performance management is pivotal in determining employee outcomes. Firms may face undesired consequences in the absence of an impartial and fair performance appraisal system. Organizational justice theory predicts the negative outcomes of performance appraisal politics that the study examines in the form of mediating and outcome variables. OBJECTIVES: There is a paucity of research regarding the impact of justice/fairness perceptions on employee outcomes in the performance appraisal context. Therefore, the study examines the effect of performance appraisal politics on deviant work behavior with the mediating role of job satisfaction. METHODS: Survey data were collected from 309 employees of banks through a likert type scale questionnaire. Structural equation modeling was used to test the model. RESULTS: The results show that performance appraisal politics is positively related to deviant work behaviors. The mediating role of job satisfaction in the relationship is also substantiated. CONCLUSIONS: The findings confirm the view of organizational justice theory regarding the negative impact of performance appraisal politics. The findings also highlight the need to design effective interventions to mitigate the negative effects of such politics. The study provides fresh insight into the dynamics of the interplay between performance appraisal politics, job satisfaction and deviant work behaviors.
Predicting remaining execution time of business process instances via auto-encoded transition system
Authors: Ni Weijian , Yan Ming , Liu Tong , Zeng Qingtian
Published: March 2022

As an important task in business process management, remaining time prediction for business process instances has attracted extensive attentions. However, most of the traditional remaining time prediction approaches only take into account formal process models and cannot handle large-scale event logs in an effective manner. Although machine learning and deep learning have been recently applied to the remaining time prediction task, these approaches cannot incorporate domain knowledge naturally. To overcome these weaknesses of existing studies, we propose a remaining execution time prediction approach based on a novel auto-encoded transition system, which can enhance the complementarity of process modeling and deep learning techniques. Through auto-encoding the event-level and state-level features, the proposed approach can represent process instances in a comprehensive and compact form. Furthermore, a transfer learning strategy is proposed to train the remaining time prediction model so as to avoid overfitting and improve the accuracy of prediction. We conduct extensive experiments on four real-world datasets to verify the effectiveness of the proposed approach. The results show its superiority over several state-of-the-art approaches.
Free MEDLINE access worldwide
Authors: Smith Kent A.
Published: March 2022

When Donald A.B. Lindberg M.D. was sworn in as Director of the National Library of Medicine (NLM) in 1984, MEDLINE, NLM’s online database of citations and abstracts to biomedical journal articles, was searched primarily by librarians trained to use its command language interface. There were fees for searching, primarily to recover the cost of using commercial value-added telecommunications networks. Thirteen years later, in 1997, MEDLINE became free to anyone with an Internet connection and a Web browser. This chapter provides an insider’s view of how Dr. Lindberg’s vision and leadership - combined with new technology, astute handling of policy issues, and key help from political supporters and influential advocates - enabled a tremendous expansion in access to biomedical and health information for scientists, health professionals, patients, and the public.
Influence of Subject-Specific Effects in Longitudinal Modelling of Cognitive Decline in Alzheimer’s Disease
Authors: Murchison Charles F. , Jaeger Byron C. , Szychowski Jeff M. , Cutter Gary R. , Roberson Erik D. , Kennedy Richard E.
Published: March 2022

Background: Accurate longitudinal modelling of cognitive decline is a major goal of Alzheimer’s disease and related dementia (ADRD) research. However, the impact of subject-specific effects is not well characterized and may have implications for data generation and prediction. Objective: This study seeks to address the impact of subject-specific effects, which are a less well-characterized aspect of ADRD cognitive decline, as measured by the Alzheimer’s Disease Assessment Scale’s Cognitive Subscale (ADAS-Cog). Methods: Prediction errors and biases for the ADAS-Cog subscale were evaluated when using only population-level effects, robust imputation of subject-specific effects using model covariances, and directly known individual-level effects fit during modelling as a natural control. Evaluated models included pre-specified parameterizations for clinical trial simulation, analogous mixed-effects regression models parameterized directly, and random forest ensemble models. Assessment used a meta-database of Alzheimer’s disease studies with validation in simulated synthetic cohorts. Results: All models observed increases in variance under imputation leading to increased prediction error. Bias decreased with imputation except under the pre-specified parameterization, which increased in the meta-database, but was attenuated under simulation. Known fitted subject effects gave the best prediction results. Conclusion: Subject-specific effects were found to have a profound impact on predicting ADAS-Cog. Reductions in bias suggest imputing random effects assists in calculating results on average, as when simulating clinical trials. However, reduction in error emphasizes population-level effects when attempting to predict outcomes for individuals. Forecasting future observations greatly benefits from using known subject-specific effects.
Circulating Naturally Occurring Antibodies to P2RY2 Are Decreased in Alzheimer’s Disease
Authors: Jian Jie-Ming , Fan Dong-Yu , Cheng Yuan , Shen Ying-Ying , Chen Dong-Wan , Li Hui-Yun , Chen Yang , Zhang Yuan , Zeng Gui-Hua , Tan Cheng-Rong , Liu Yu-Hui , Wang Yan-Jiang
Published: March 2022

Background: The G protein-coupled receptor P2RY2 protein of the purinergic receptor family is involved in the pathogenesis of Alzheimer’s disease (AD). Naturally occurring antibodies against P2RY2 (NAbs-P2RY2) are present in human plasma, with their clinical relevance in AD unknown. Objective: To explore the alteration of NAbs-P2RY2 in AD patients and its associations with biomarkers and cognition of AD patients. Methods: The levels of naturally occurring antibodies against the four extracellular domains of P2RY2 (NAbs-P2RY2-1, NAbs-P2RY2-2, NAbs-P2RY2-3, and NAbs-P2RY2-4) were measured in the plasma of 55 AD patients, 28 non-AD dementia patients, and 70 cognitively normal participants. The correlations of autoantibody levels with cognitive scale scores, AD plasma biomarkers, and brain amyloid burden were examined. Results: NAbs-P2RY2-1, NAbs-P2RY2-3, and NAbs-P2RY2-4 were reduced in AD patients. Plasma levels of NAbs-P2RY2-2 and NAbs-P2RY2-3 levels were positively associated with cognitive and functional performances. Among these antibodies, plasma NAbs-P2RY2-2 levels were positively associated with plasma amyloid-β 42 levels. While plasma NAbs-P2RY2-3 levels were negatively associated with brain amyloid burden in AD patients. Conclusion: These findings indicate an alteration of humoral immunity against P2RY2 in AD patients. Further mechanistical investigations are needed to reveal the role of NAbs-P2RY2 in the pathogenesis of AD.
RETRACTED: Multi driven EDT strategy based on clustering algorithm for wireless chemical sensor network
Authors: Joseph Abin John , Asaletha R.
Published: March 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
A new approach for data augmentation in a deep neural network to implement a monitoring system for detecting prostate cancer in MRI images1
Authors: Pirzad Mashak Neda , Akbarizadeh Gholamreza , Farshidi Ebrahim
Published: March 2022

Prostate cancer is one of the most common cancers in men, which takes many victims every year due to its latent symptoms. Thus, early diagnosis of the extent of the lesion can help the physician and the patient in the treatment process. Nowadays, detection and labeling of objects in medical images has become especially important. In this article, the prostate gland is first detected in T2 W MRI images by the Faster R-CNN network based on the AlexNet architecture and separated from the rest of the image. Using the Faster R-CNN network in the separation phase, the accuracy will increase as this network is a model of CNN-based target detection networks and is functionally coordinated with the subsequent CNN network. Meanwhile, the problem of insufficient data with the data augmentation method was corrected in the preprocessing stage, for which different filters were used. Use of different filters to increase the data instead of the usual augmentation methods would eliminate the preprocessing stage. Also, with the presence of raw images in the next steps, it was proven that there was no need for a preprocessing step and the main images could also be the input data. By eliminating the preprocessing step, the response speed increased. Then, in order to classify benign and malignant cancer images, two deep learning architectures were used under the supervision of ResNet18 and GoogleNet. Then, by calculating the Confusion Matrix parameters and drawing the ROC diagram, the capability of this process was measured. By obtaining Accuracy = 95.7%, DSC = 96.77% and AUC = 99.17%, The results revealed that this method could outperform other well-known methods in this field (DSC = 95%) and (AUC = 91%).
Strong domination integrity in graphs and fuzzy graphs
Authors: Ganesan Balaraman , Raman Sundareswaran , Pal Madhumangal
Published: March 2022

Let H = (V, E) be a graph and xy ∈ E (H). Then x strongly dominates y if deg(x) ⩾ deg(y). A subset S of V is said to be a strong dominating set if every node y ∈ V – S is strongly dominated by some node x in H and is denoted by sd-set. The strong domination number γs (H) is the minimum cardinality of a strong dominating set. In this paper, we introduce a new vulnerability parameter called strong domination integrity in graphs. Strong domination integrity of some families of graphs are determined and its bounds are also obtained. The proposed parameter is applied in water distribution network system to identify the influential group of nodes within the network. Fuzzy graphs can be used to model uncertain networks. By using membership values of strong arcs, strong domination integrity is extended to fuzzy graphs as a new vulnerability parameter. In this study, we investigate the strong domination integrity for complete bipartite fuzzy graphs, complete fuzzy graphs and bounds are also derived. Some basic results and theorems are obtained. This vulnerability parameter is also applied in the transportation network systems.
Moment matching training for neural machine translation: An empirical study
Authors: Nguyen Long H. B. , Pham Nghi T. , Duc Le D. C. , Hoang Cong Duy Vu , Dinh Dien
Published: March 2022

In recent years, Neural Machine Translation (NMT), which harnesses the power of neural networks, has achieved astonishing achievements. Despite its promise, NMT models can still not model prior external knowledge. Recent investigations have necessitated the adaptation of past expertise to both training and inference methods, resulting in translation inference issues. This paper proposes an extension of the moment matching framework that incorporates advanced prior knowledge without interfering with the inference process by using a matching mechanism between the model and empirical distributions. Our tests show that the suggested expansion outperforms the baseline and effectively over various language combinations.
A machine learning-based weather prediction model and its application on smart irrigation
Authors: Khalifeh Ala’ F. , AlQammaz Abdullah Y. , Abualigah Laith , Khasawneh Ahmad M. , Darabkh Khalid A.
Published: March 2022

Weather prediction is paramount for many applications and scenarios, among them is agriculture. In order to efficiently irrigate the crops with the exact needed water amount, weather forecasting can be used to optimize the quantity of required irrigation water such that the crops are neither dried up nor over-irrigated. This paper proposes a Machine Learning (ML)-based weather forecasting model, which utilizes the Social Spider Algorithm-Least Square-Support Vector Machine (SSA-LS-SVM) algorithm. The simulation results are used to predict the prime weather and soil parameters such as the atmospheric temperature, pressure, and soil humidity for 24, 48, and 72 hours based on previous 39 days’ hourly data for Amman city. The predicted values showed low relative mean square errors compared with the actual values and the LS-SVM predictor.
The physical properties of spinel cubic Co3O4 thin films prepared by a PSM
Authors: Bencharef Z. , Chala A. , Messemeche R. , Benkhetta Y.
Published: March 2022

Undoped and Mn-doped Co3O4 films were deposited on heated glasses substrates (TS = 400°C) using a homemade pneumatic spray method (PSM). The solution concentration and deposition time are 0.1 M and 4 min respectively. The effect of manganese doping concentration on structural, optical and electrical properties of cobalt oxide were investigated. The elaborated films were characterized by X-ray diffraction, UV-Vis spectroscopy, atomic force microscopy (AFM) the three-dimensional (3D), energy dispersive spectroscopy (EDS), and four points probe measurements. The XRD study showed that all films were polycrystalline consisting with spinel cubic phase orientated along to (111) plane. The lattice strain and crystallite size were estimated by Williamson-Hall method. The morphology of Mn-doped Co3O4 thin films shows a homogeneous surface with straight acicular nanorods (SANRs). EDS analysis showed the presence of peaks associated with Co, O and Mn elements which confirm the composition of the thin films. The optical band gaps varies from 1.42±0.07 to 1.47±0.07 eV of Egop1and Egop2 varies from 1.87±0.10 to 2.11±0.11 eV. In addition, the electrical measurement show a maximum electrical conductivity (σ= 15.54±0.78 (Ω.cm)-1) at 6% wt of Mn.
Characterization and photocatalytic activity of different molar ratios of TiO2 thin films prepared by Sol-Gel process
Authors: Attaf Abdallah , Messemeche Radhia , Saidi Hanane , Youcef Benkhetta , Aida Mohamed Salah , Benkhetta Okba
Published: March 2022

Photocatalytic application has been of large interest due to its new technology for organic pollution. Among the photocatalyst, titanium dioxide thin film is known as a photocatalyst for the elimination of organic pollutants. In this research, the structural and optical properties of TiO2 thin films prepared on glass substrates were studied, using a sol-gel (spin coating) technique. TiO2 thin films were deposited with molar ratio y between [TTIP] and [AcAc] concentration, which varied from 0.5 to 2. Photocatalytic properties of TiO2 thin films are studied by using sunlight and photodegradation of methylene blue as a water pollutant evaluated until the photocatalytic process enhances with the molar ratio. Absorbance spectra were measured using a spectrophotometer. Test results showed that the photocatalytic sunlight /TiO2 thin film is a promising method for treating wastewater. The quantity of acetylacetone in the precursor solution had no significant effect on the optical and structural properties of the TiO2 thin films. Films consisted of the anatase phase, with a band gap in the range of 3.38–3.51 eV and thickness in the range of 534–618 nm. However, the molar ratio effect on photocatalytic preperties, the best photodegradation rate reaches to 94% in y = 0.66 at t = 180 min.
Antimicrobial effects of Arctium lappa against infectious bacteria: Experimental in vitro analysis
Authors: Bahramian Asghar , Ataie Kachoie Mehrdad , Rahimi Ebrahim
Published: March 2022

Arctium lappa ( A. lappa) is one of the most significant edible medicinal plants with high antibacterial effects, in which it could be supposed to grow with more beneficial effects under administration by salicylic acid and chitosan based biofertilizers. Accordingly, the effects of salicylic acid, chitosan, and 50% moisture discharge were investigated in this work to see the antimicrobial treatments of some foodborne pathogens effects by A. lappa. To this aim, plants were cultivated based on different concentrations of salicylic acid and chitosan with/without drought stress, in which their extracted essential oils were examined for showing the antimicrobial effect against different bacterial agents. The results indicated that the salicylic acid and chitosan administrated A. lappa could work with improved inhibitory functions. Comparing with referenced antibiotics showed even higher antimicrobial effects of A. lappa against the targeted bacterial agents, in which the species with 14 mmol of salicylic acid and 2 g/l of chitosan was a distinguished one for approaching the purpose. Consequently, the achievements of this work could be further investigated for producing novel antibiotic drug agents.
Elaboration of novel urea bearing schiff bases as potent in vitro anticancer candidates with low in vivo acute oral toxicity
Authors: Aroua Lotfi M. , Al-Hakimi Ahmed N. , Abdulghani Mahfoudh A.M. , Alhag Sadeq K.
Published: March 2022

A novel series of urea Schiff base derivatives were synthesized via the condensation of o-phenylenediamine, naphthyl isocyanate and appropriate aryl aldehyde. The results of the in vitro cytotoxic activities of compounds 5a–h against cancer cells lines PC3, SKOV-3 and HeLa, revealed that almost all compounds exhibited good to moderate activities Compound 5g owing bromine atom at p-position displayed higher activity compared to homolog 5b possessing chlorine atom due to adequate diameter of bromine which is more favourable than chlorine for the inhibition activity. In addition, compound 5h is the best candidate of this series exhibiting excellent activity for three cancer cells lines. Compound 5h demonstrated also an excellent activity with IC50 value of 0.6±0.3μg/mL for prostate cancer cell line PC3 and it is considered more effective than the standard drug doxorubicin Dox (IC50 = 2.6±0.03μg/mL). The most active compound 5h displayed the best activity against ovarian cancer cell line SKOV3 with IC50 = 1.8±0.2μg/mL. This results are higher than clinically used drug Dox (IC50. 2.2±0.02μg/mL). The results of screening activities cytotoxic effect toward cervix cancer cell line HeLa, affirm that compound 5h manifest an activity with IC50 value of 2.2±0.4μg/mL comparable to Dox (IC50. 1.9±0.04μg/mL). In the current study, in vivo acute oral toxicity assessment of urea Schiff base hybrid compounds 5a – h indicated that there was no mortality on treated female mice during 14 days assessment test compared with the vehicle-treated group confirming the safety with LD50 greater than 2000 mg/kg. In the actual study, the results affirmed that compounds 5a–h manifested in vivo no toxicity to saint cells, the compounds 5b, 5g and 5h presented higher anticancer activities against three cancer cells which authorizes promoters to use them as candidate anticancer agents.
Nutritional status and body image perception in a group of Moroccan adolescents
Authors: Boutahar Kaltoum , Kaoutar Kamal , Chetoui Ahmed , El Kardoudi Abdessalam , Ihbour Said , Najimi Mohamed , Chigr Fatiha
Published: March 2022

BACKGROUND: Adolescent obesity has become a pressing public health issue in Morocco. Along with the increased prevalence of obesity, body weight misperceptions have also increased among adolescents, which may reduce the effectiveness of intervention programs. The main study objective was to establish the relationship between body image perception, anthropometric status and their associated factors among a sample of Moroccan adolescents. METHODS: A cross-sectional school-based survey was conducted during 2018, involving 250 adolescents from Morocco. Data on sociodemographic information, anthropometric characteristics, and weight perception were collected and reported as the means and proportions. Statistical analysis was carried out using Statistical Package for Social Sciences version 19.0 software. RESULTS: The prevalence of overweight and obesity in our study reached 12.8% and 4.8%, respectively. Misperception of body weight compared to body mass index (BMI) was found in 50.4% of young adolescents (χ2 = 54.05; p < 0.001), and dissatisfaction computed by the Feel minus Ideal Discrepancy (FID) index reached 46% with no difference between the sexes (χ2 = 2.55; p > 0.05). The Feel weight status minus Actual weight status Inconsistency (FAI) index was used to determine whether the subjects’ perception of their weight was realistic. The results showed that both sexes tended to underestimate their weight. Only 68.2% of overweight/obese participants reported trying to lose weight (χ2 = 39.74; p < 0.001), while this number increased to 94.7% when the intention to lose weight was related to perceived body image (χ2 = 86.09; p < 0.001). CONCLUSIONS: The results of this study reveal that a mismatch exists between the perception of body weight and actual BMI in adolescents, with a tendency toward underestimation, affirming the early effect of social norms and the vulnerability to sociocultural influences of individuals in this age category. Future interventions and educational programs are thus required to prevent overweight and obesity and to address the mismatch between adolescents’ weight status and their perceived weight.
Error analysis for hybrid estimates of proportions using big data1
Authors: Tam Siu-Ming , Trewin Dennis , Ang Lyndon
Published: March 2022

Big data, including administrative data, is seen as a new data source for official statistics especially given the increasing difficulty of getting acceptable response rates in sample surveys. It might be used directly or perhaps with the use of models to adjust for shortcomings in the big data. Hybrid estimates using complementary survey data are another technique for overcoming these shortcomings. To make decisions on how big data might be used, we need to understand the nature of the errors in the big data source. The paper describes an Error Framework for the analysis of errors in big data and hybrid estimates. The paper also describes the circumstances under which hybrid estimates will provide more accurate estimates than big data in isolation or survey data. A case study is provided to illustrate the application of hybrid estimates in practice. A potential application of hybrid estimation is also described to address the upward biases that often exist in epidemiological modelling.
A systematic review on available technologies and selection for prosthetic arm restoration
Authors: Pawar Bhavesh , Mungla Mitesh
Published: March 2022

BACKGROUND:

The design, provision, and assessment of prosthetic arm technologies and related services are all dependent on an understanding of how prosthetic arms are used in everyday life. This research examines the scientific literature on prosthetic arm technologies and approaches that have been used to evaluate upper limb prosthetic arms in daily life use.

OBJECTIVE:

The purpose of this review paper is to give an outline of current literature, which covers the selection, design, and choices of prosthetic arm technologies.

METHODS:

A structural search for the available technologies on the prosthetic arm was carried out. A research database search was carried out in PubMed, Web of Science, Scopus, Crossref, Google Scholar, and questionnaires were evaluated based on available prosthetic arm technologies, material, methodology, comfortability.

RESULTS:

From the proposed review, it is concluded that not all prosthetic technologies suit the patients because of the difference in injuries. Every prosthetic arm technology has its advantages and limitations depending on end-user requirements and comfortability. Based on the available literature, it is observed that amputees have been given equal importance to comfortability along with functionality. Consequently, amputees may opt for a prosthetic arm technology that is easy to use and comfortable rather than an advanced technology-based prosthetic arm but less with comfortability.

CONCLUSION:

An attempt has been made for extensive reviews for the various types of prosthetic systems, materials, usability, methodologies, comfortability, etc. Comparative studies on various types of available prosthetic arm technologies have been also carried out with pros and cons. More specifically, the proposed paper provides a significant review of the upper limb prosthetic arm’s current developments and their impacts.
Method for puncture trajectory planning in liver tumors thermal ablation based on NSGA-III
Authors: Dong Qi , Cao Miao , Gu Feng , Gong Weifang , Cai Qingwu
Published: March 2022

BACKGROUND: Thermal ablation of liver tumors is a conventional mode for treating liver tumors. In order to reduce the damage to normal tissue endangered by thermal ablation, the physician needs to plan the puncture path before surgery. OBJECTIVE: In this paper, a puncture trajectory planning method for thermal ablation of liver tumor based on NSGA-III is proposed. This method takes the clinical hard constraints and soft constraints into account. METHOD: The feasible puncture region is solved by the hard constraints, and after that the pareto front points are obtained under the soft constraints. When accessing the feasible puncture region, an adaptive morphological closing operation method based on K-means algorithm is adopted to process the spherical angle binary image of obstacles that might be encountered in the puncture process. RANSAC is performed to fit the tangent plane of liver surface when calculating the angle between the puncture trajectory and liver surface. In order to evaluate the puncture path obtained by this method, 6 tumors are selected as experimental subjects, and Hausdorff distance and Overlap Rate of Pareto front points with manually recommend points are calculated respectively. RESULTS: The average value of Hausdorff distance is 24.91 mm, and the mean value of the overlap rate is 86.43%. CONCLUSION: The proposed method can provide high safety and clinical practice of the puncture route.
Total variation combining nonlocal means filtration for image reconstruction in X-ray computed tomography
Authors: Cai Ailong , Wang Yizhong , Zhong Xinyi , Yu Xiaohuan , Zheng Zhizhong , Wang Linyuan , Li Lei , Yan Bin
Published: March 2022

BACKGROUND: Image reconstruction for realistic medical images under incomplete observation is still one of the core tasks for computed tomography (CT). However, the stair-case artifacts of Total variation (TV) based ones have restricted the usage of the reconstructed images. OBJECTIVE: This work aims to propose and test an accurate and efficient algorithm to improve reconstruction quality under the idea of synergy between local and nonlocal regularizations. METHODS: The total variation combining the nonlocal means filtration is proposed and the alternating direction method of multipliers is utilized to develop an efficient algorithm. The first order approximation of linear expansion at intermediate point is applied to overcome the computation of the huge CT system matrix. RESULTS: The proposed method improves root mean squared error by 25.6% compared to the recent block-matching sparsity regularization (BMSR) on simulation dataset of 19 views. The structure similarities of image of the new method is higher than 0.95, while that of BMSR is about 0.92. Moreover, on real rabbit dataset of 20 views, the peak signal-to-noise ratio (PSNR) of the new method is 36.84, while using other methods PSNR are lower than 35.81. CONCLUSIONS: The proposed method shows advantages on noise suppression and detail preservations over the competing algorithms used in CT image reconstruction.
Parameter tuning in machine learning based on radiomics biomarkers of lung cancer
Authors: Luo Yuan , Li Yifan , Zhang Yuwei , Zhang Jianwei , Liang Meng , Jiang Lin , Guo Li
Published: March 2022

BACKGROUND: Lung cancer is one of the most common cancers, and early diagnosis and intervention can improve cancer cure rate. OBJECTIVE: To improve predictive performance of radiomics features for lung cancer by tuning the machine learning model parameters. METHODS: Using a dataset involving 263 cases (125 benign and 138 malignant) acquired from our hospital, each classifier model is trained and tested using 237 and 26 cases, respectively. We initially extract 867 radiomics features of CT images for model development and then test 10 feature selections and 7 models to determine the best method. We further tune the parameter of the final model to reach the best performance. The adjusted final model is then validated using 224 cases acquired from Lung Image Database Consortium (LIDC) dataset (64 benign and 160 malignant) with the same set of selected radiomics features. RESULTS: During model development, the feature selection via concave minimization method show the best performance of area under ROC curve (AUC = 0.765), followed by l0-norm regularization (AUC = 0.741) and Fisher discrimination criterion (AUC = 0.734). Support vector machine (SVM) and random forest (RF) are the top two machine learning algorithms showing the best performance (AUC = 0.765 and 0.734, respectively), using by the default parameter. After parameter tuning, SVM with linear kernel achieves the best performance (AUC = 0.837), whereas the best tuned RF with the number of trees is 510 and yields a slightly lower performance (AUC = 0.775) in 26 test samples data. During model validation, the SVM and RF models yield AUC = 0.78 and 0.77, respectively. CONCLUSION: Appropriate quantitative radiomics features and accurate parameters can improve the model’s performance to predict lung cancer.
Impact of BAP on in Vitro Regeneration of Potato (Solanum Tuberosum L.)
Authors: Dilshad Erum , Asif Ayesha , Arooj Hina , Khan Samra Hayat , Bakhtiar Syeda Marriam
Published: March 2022

The potato (Solanum tuberosum L.) plant is grown in about 150 countries of the world and is considered an important food crop. However, this crop is susceptible to different biotic and abiotic factors, which can affect its crop yield. This vulnerability can be reduced or eliminated by growing potatoes under sterilized conditions. Cytokinins, such as 6-Benzylaminopurine, are proven to show a significant role in the in vitro regulation of plants. In the current study, explants of Kuroda variety were/potato cv. Kuroda were grown using diverse concentrations of 6-Benzylaminopurine (BAP), which displayed varied results. BAP concentration of 0.01 mg/l showed a 10 cm shoot length with 41 shoots having 66.66% regeneration efficiency. Meanwhile, the explant grown in 0.25 mg/l BAP concentration showed 16 cm shoot length with 65 shoots having 83.33% regeneration efficiency. On the other hand, the explants that were grown using 0.05 mg/l and 1 mg/l BAP concentration showed 7 cm and 10 cm shoot length with 35 and 52 shoots having 63.33% and 76.66% regeneration efficiency, respectively. Therefore, it was concluded that 0.25 mg/L of BAP showed the best results with the highest number of shoots and shoot length as well as maximum regeneration efficiency among all the tested concentrations.
The Effect of Using Internet-based Project Work toward Students' Vocabulary Mastery
Authors: Nugrahini Yulia
Published: March 2022

English is an international language. Everyone is competing to master foreign language, especially English language as a communication tool in this era of globalization. As foreign language, it has many problems faced by Indonesian students, especially learning vocabulary. They are able to understand the teachers’ explanation, but it cannot stand any longer in their mind and especially for junior high school students. Vocabulary is one of the language component that should be learned by students, so they are able to accept the English material well. Therefore, the implementation of teaching media is one of the most important strategies in teaching learning process. The research findings in this research are the scores of vocabulary before and after being taught by using Internet-based Project Work. The results showed that the mean of total scores of students’ vocabulary mastery before being taught using Internet-based Project Work was (72,51). While the mean of total scores of students’ vocabulary mastery after they are taught using Internet-based Project Work was (83,16) . It was proved with the t-test analysis that used by the researcher can be shown the result tcount =(11,641),  The value of “t” on the t score table t0,05 =(2.045). Based on the results above, alternative hyphotesis (Ha) states there is significant different score of student’s vocabulary mastery by using Internet-based Project Work is accepted, while the null hyphotesis (Ho) that states there is no significant different score of student’s vocabulary mastery is rejected. Finally, it can be concluded that Internet-based Project Work is effective media in teaching English vocabulary to junior high school, especially for eight grade students of SMPN 1 Durenan.
POTENSI HASIL DAN KONTRIBUSI SIFAT AGRONOMI TERHADAP HASIL TANAMAN KEDELAI (Glycine max L. MERRIL) PADA SISTEM TUMPANSARI TEBU-KEDELAI
Authors: Umarie Iskandar , Holil Moh
Published: March 2022

Penelitian ini bertujuan untuk mengetahui sepuluh varietas kedelai yang mempunyai potensi hasil yang baik padasistem pertanaman tumpangsari tebu kedelai, untuk mengetahui hubungan antar komponen hasil sepuluh varietas tanaman kedelai pada system pertanaman tumpangsari tebu kedelai dan untuk mengetahui hubungan komponen hasil sepuluh varietas tanaman kedelai yang mana mempengaruhi hasil  pada sitem pertanaman tumpang sari tebu kedelai. Penelitian ini dilaksanakan dikebun percobaan Fakultas Pertanian Universitas Muhammadiyah Jember dari bulan November 2015 sampai bulan Februari 2016 dengan ketinggian ± 89 meter diatas permukaan laut. Materi tanaman berupa 10 varietas kedelai yaitu Gepak Kuning, Gema, Agromulyo, Anjasmoro, Wilis, Kaba, Sinabung, Tanggamus, Dering-1 dan Burangrang yang ditanam dilapangan menggunakan Rancangan Acak Kelompok Lengkap dengan tiga ulangan. Hasil analisis ragam tinggi tanaman, umur berbunga, luas daun, luas daun spesifik, jumlah buku, umur panen, jumlah cabang produktif, jumlah cabang, jumlah polong, jumlah biji, bobotbiji, berat 100 biji, indeks bobot kering biji dan indeks panen menunjukkan bahwa ada perbedaan yang nyata pada semua komponen hasil, kecuali pada luas daun dan luas daun spesifik. Dan pada analisis varian menunjukkan menunjukkan karakter biomasa jumlah cabang produktif, jumlah polong pertanaman, jumlah biji per tanaman, bobot biji, indeks bobot kering biji, indeks panen dan  berat 100 biji mempunyai varian  genetik yang luas, dari semua karakter biomas yang dievaluasi mempunyai nilai heritabilitas yang tinggi adalah tinggi tanaman, umur berbunga, luas daun, jumlah buku, umur panen, jumlah cabang produktif, jumlah cabang,  jumlah polong, jumlah biji, bobot biji, berat 100 biji, dan indeks panen,serta pada karakter biomas, Jumlah Cabang Produktif, jumlah polong per tanaman, jumlah biji per tanaman, berat 100 biji dan bobot biji per tanaman,mempunyai nilai duga kemajuan genetik yang luas. Seleksi dapat diterapkan pada karakter biomas Jumlah Cabang Produktif, jumlah polong per tanaman, jumlah biji per tanaman, bobot biji per tanaman,dan berat 100 biji. Di antara komponen hasil yang diamati, jumlah polong, indeks bobot kering dan indeks panen menunjukkan korelasi positif sangat nyata dengan bobot biji, koponen  hasil jumlah biji menunjukkan  korelasi positif nyata dengan bobot biji, serta komponen  hasil  tinggi tanaman, umur berbunga, luas daun  spesifik, jumlah buku, jumlah cabang produktif, jumlah cabang dan berat 100 biji.menunjukkan korelasi positif  tidak nyata dengan  bobot biji dan komponen hasil umur panen dan luas daun berkorelasi negative tidak nyata dengan bobot biji.
Качество обслуживания с использованием информационных технологий в Профессиональной Школе Doutor José Alves da Silveira в Кишерамобин – Сеара
Authors: Saldanha Evanginaldo Silva , Pereira Amanda Conrado
Published: March 2022

На протяжении многих лет качество медицинской помощи в институциональных организациях рассматривалось как необходимость улучшения и полного улучшения для граждан, чтобы они могли пользоваться услугами, предоставляемыми с рвением, борьбой за эффективность и результативность, структурирующими элементами для администрации, ориентированной не только на теории, но и на результаты. В этом контексте, чтобы уменьшить тупики, возникающие из-за качества медицинской помощи, возник вопрос исследования: какое влияние оказывают информационные технологии на повышение качества медицинской помощи в Профессиональной Школе Doutor José Alves da Silveira? В данной статье подчеркивается важность роли качества медицинской помощи с использованием информационных технологий в Профессиональной Школе Doutor José Alves da Silveira в Кишерамобин – Сеара, с целью описания процессов, связанных с управлением качеством в уходе от внедрения информационных технологий, анализа изменений, способствующих повышению качества медицинской помощи от обвиняемой речи учителей, и сравнения предыдущей и текущей ситуации качество медицинской помощи путем анализа данных, полученных в рамках вышеупомянутых целей. Для достижения целей этого исследования использовались поисковые методы и приемы с качественным подходом, с использованием метода интервью и, исследовательского инструмента, вопросника, с пятью открытыми вопросами, отправленными двенадцати директорам классов через форму Google. Также был использован метод наблюдения за участниками, который направлен на захват смыслов и субъективных переживаний тех, кто вмешивается в процесс социального взаимодействия. Интервьюируемые были выбраны для удобства и выборки с использованием техники насыщения. Собранные результаты сравнивались по высказываниям учителей, воспринимающих сходство в ответах. Сделан вывод о том, что качество медицинской помощи в сочетании с информационными технологиями было удовлетворительным, в совершенствовании услуг, предоставляемых пользователям, повышая уровень удовлетворенности и гибкости, в способе восприятия процессов технологических инноваций, чтобы сделать организацию интерактивным пространством с большим диалогом, взаимодействием и гибкостью в потоке процессов.
ТЮРКСЬКІ ДЕСТАНИ: ПОНЯТТЯ ТА ХАРАКТЕРНІ ОСОБЛИВОСТІ
Authors: Алієва Заміна
Published: March 2022

У літературній спадщині кожного етносу є шедеври, які, попри їхнє давнє виникнення, не лише продовжують вражати сучасного читача своєю масштабністю, а й зацікавлюють історією та самобутністю народу, психологією його творчості. До таких творів у турецькому письменстві, як і в усіх інших тюркських та східних літературах, належать дестани. Дестани тюркських народів умовно можуть бути розділені на наступні групи: 1) ранні героїко-міфологічні дестани; 2) героїчні дестани; 3) ліро-епічні дестани, або дестани про любов; 4) дестани книжкового походження. Стаття покликана осмислити поняття дестану та охарактеризувати його. Проаналізовано та системетизовано види тюркських дестанів. Наведено приклади типових образів та мотивів, що зустрічаються у дестанах. Представлене дослідження є важливим вкладом у тюркську фольклористику.
ОСОБЛИВОСТІ РОБОТИ З МУЗИЧНИМ МАТЕРІАЛОМ В ПОСТАНОВОЧНІЙ ДІЯЛЬНОСТІ СТУДЕНТІВ-ХОРЕОГРАФІВ
Authors: Кундис Руслан , Никорович Іван , Кіптілова Надія , Бугрин Юрій
Published: March 2022

В статті розкриваються основні аспекти роботи з музичним матеріалом в постановочній діяльності студентів хореографів. Визначається проблема взаємодії складових у синтетичних видах мистецтва, а саме музики і хореографії в тенденції сучасного хореологічного дискурсу. Визначаються основні риси професійної підготовки хореографів та сфери реалізації їх творчої діяльності. Окреслюється тісний взаємозв’язок між музикою та танцем. Вирізняються істотні принципи закономірності розвитку музичного та хореографічного мистецтва: метро-ритмічність форми, образність, визначення форми і виду танцю, визначення драматургії. Виділено чотири аспекти співвідношення музики і танцю: «під музику», «в музику», «на музику», «виходячи з музики», сформульовані Ф. Лопуховим так, які можуть використовуватись в освітньому процесі підготовки до постановочної роботи. Визначено паралельність розвитку музичного та хореографічного образів. Висвітлено художні завдання в процесі роботи над дипломною виставою. Виокремлено етапи роботи балетмейстера над музичним матеріалом. Наголошується на важливості аналізу музичного твору, в процесі створення музичних «колажів». Окреслюється особливість у співвідношенні музики до хореографічного тексту в постановках сучасних напрямків хореографічного мистецтва. У висновках наголошується на важливості роботи з музичним матеріалом починаючи від першого курсу до моменту створення дипломної вистави, як феномена від якого залежить виразність хореографічної лексики.