bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of Events of Extreme Temperature Change between Neighboring Days in CMIP6 Models over China
Authors: Song Shuaifeng , Yan Xiaodong
Published: June 2021

In the context of global warming, the frequency and intensity of extreme weather and climate events are increasing. However, the impact of these changes that is directly felt by people is the day-to-day temperature change. Extreme temperature changes between neighboring days (ETCNs) carry substantial disease risks and socioeconomic impacts. Evaluative studies of ETCN events with global circulation models (GCMs) remain unknown in China. This study quantitatively evaluates the performances of 36 GCMs and the multi-model ensemble (MME) of the Coupled Model Intercomparison Project 6 (CMIP6) in simulating the extreme cooling (EC) and extreme warming (EW) events of two consecutive days as defined by relative thresholds. Moreover, we select the optimal models in different regions at the seasonal and annual scales in China, providing theoretical support for the frequency projection and modeling improvement of ETCN events. The results showed that from 1981 to 2013, the annual average EW events and EC events in China showed increasing but not statistically significant trends, and the frequency of EW events was higher than that of EC events. EW events mostly occurred in spring, while EC events mostly occurred in autumn. Additionally, the performances of the CMIP6 models are quite different between EC and EW events. The simulations of EC events are generally more reliable than those of EW events, and the models can also capture the annual cycle of EC events well. Furthermore, the CMIP6 models overestimate the frequencies of EW and EC events but underestimate the frequency of EC events in autumn. The CMIP6 models exhibit poor performance in simulating the trend of and interannual variability in ETCN events and can only simulate the decreasing trend in autumn. Finally, according to the overall ranking of the CMIP6 models, GFDL-ESSM4 and EC-Earth3-Veg-LR achieve the best performance in simulating EW and EC events, respectively. The CMIP6 MME only effectively improved the capabilities of the models to simulate winter EC events in the WNW region. In terms of the trend of and interannual variability in ETCN events, individual models exhibited better performances than the CMIP6 ensemble.
The Identification and Analysis of a Novel Model Based on Ferroptosis-Related Genes for Predicting the Prognosis of Diffuse Large B-Cell Lymphomas
Authors: Wang Jiayi , Peng Hongling , Zhang Guangsen , Xu Yunxiao , Yan Wenzhe
Published: June 2021

Backgroud: Diffuse large B-cell lymphomas (DLBCLs) are featured as phenotypically and genetically heterogeneous. Ferroptosis is a newly discovered regulated cell death pathway that plays a crucial role in the occurrence and progression of tumors. We aim to identify a ferroptosis-related gene (FRG) prognostic signature for DLBCLs by systematic analysis of transcriptional profiles. Methods: This study retrospectively analysed the transcriptome profiles and clinical parameters of 604 DLBCL patients from 3 public datasets. A series of bioinformatic approaches including univariate and multivariate Cox regression analysis, function analysis, immune infiltration analysis, differential expression analysis, ROC curve analysis, Kaplan–Meier survival curve and the least absolute shrinkage and selection operator (LASSO) method by the corresponding R packages in R software were combined to explored the heterogenicity of FRG based clusters and to built prognostic model. Immunohistochemistry was used to exam the protein expression of six FRGs in different type of DLBCL.Results: We first identified 19 FRGs with potential prognostic values and classfied the patients into two subgroups (named cluster 1 and cluster 2), Results showed that there were different patterns of immune cell infiltration among patients in the two clusters. Furthermore, the LASSO was used to generated a six genes (GCLC, LPCAT3, NFE2L2, ABCC1, SLC1A5, and GOT1) risk signature which constructed a risk score formula and prognostic model for the overall survival (OS) of DLBCL patients. Kaplan–Meier survival analysis proved that poorer OS was exhibited in higher risk patients stratified by the prognostic model in both the training cohort and test cohort. In addtion, we constructed nomograms to predict the OS of DLBCL patients. Both the decision curve(DCA) and the calibration plots showed that the nomogram had good predictive performance. Finally, the validation by immunohistochemistry indicated the GCLC, LPCAT3, NFE2L2, SLC1A5, and GOT1 were high expressed in DLBCL with various prognostic adverse molecular factor. Conclusion: In sum, we built a new FRG-based prognostic model which will help improve diagnosis and treatment for DLBCL patients.
GLRX5-associated [Fe-S] Cluster Biogenesis Disorder: Further Characterisation of the Neurological Phenotype and Long-term Outcome.
Authors: Sankaran Bindu Parayil , Gupta Sachin , Tchan Michel , Devanapalli Beena , Rahman Yusof , Procopis Peter , Bhattacharya Kaustuv
Published: June 2021

Background: Identification and characterisation of monogenic causes of complex neurological phenotypes are important for genetic counselling and prognostication. Bi-allelic pathogenic variants in the gene encoding GLRX5, a protein involved in the early steps of Fe-S cluster biogenesis, are rare and cause two distinct phenotypes: isolated sideroblastic anemia and a neurological phenotype with variant non-ketotic hyperglycinemia. In this study, we analysed the evolution of clinical and MRI findings and long-term outcome of patients with GLRX5 mutations. Methods: Four patients from three Australian families of Lebanese descent were identified. All patients presented in childhood and were followed up into adult life through multiple clinical assessments. All were prescribed sodium benzoate.Results: All patients (all females, age range 18-56 years) showed a complex neurological phenotype characterised by varying combinations of spastic paraparesis, length-dependent motor/ sensory-motor axonal polyneuropathy, and psychiatric disturbances with variable intellectual disability. All had non-ketotic hyperglycinemia and a homozygous pathogenic c.151_153delAAG (p.K51del) change in GLRX5. Motor disability gradually progressed reaching moderate disability during adolescence and moderately severe disability during adult life. The major MRI finding was the upper cervical spinal cord signal changes with contrast enhancement noted in all and additional leukoencephalopathy in one. On follow up MRI, the white matter lesions diminished on a subsequent scan and then remained static over time. The spinal cord showed gliotic changes. Two patients have previously demonstrated low pyruvate dehydrogenase complex deficiency but none had plasma lactate elevation, nor biochemical evidence of branch-chain keto-dehydrogenase deficiency. Glycine levels reduced in patients that tolerated sodium benzoate, possibly stabilising clinical manifestations.Conclusion: This report demonstrates that the p.K51del GLRX5 variant causes a distinct and predictable neurological phenotype. The clinical assessments spanning from childhood to adult life enable physicians to infer the natural history of GLRX5 related neurological disorder. There may be widespread metabolic consequences, and optimal management is unknown.
Understanding vaccine hesitancy with application of Latent Dirichlet Allocation to Reddit Corpora
Authors: Duraivel Samuel , R Lavanya
Published: June 2021

This research paper explores the underlying factors that contribute toward vaccine hesitancy, resistance, and refusal. Using Latent Dirichlet Allocation (LDA), an unsupervised generative-probabilistic model, we generated latent topics from user generated Reddit corpora on reasons for Vaccine hesitancy. Although we hoped to explore the grounds for vaccine hesitancy across the globe, our findings suggest that the corpus used for analysis had been generated by users living predominantly in the United States.Observation of the topics generated by the LDA model led to the discovery of the following latent factors: (i) fear of risks and side effects, (ii) lack of trust in policymakers, (iii) related to religious belief, (iv) related to mass surveillance theories, (v) perception of vaccination as a precedence to totalitarianism, (vi) racial background pertaining to retrospective events of racial injustice, such as selective sterilization, (vii) depopulation agenda fueled by theories affiliated to Global warming and extinction rebellion, (viii) and perception of vaccination as a campaign to quell immigrant population growth, fueled by reports of coerced sterilization of immigrants in the ICE detention.
Pollution Resistance Assessment of Plants Around Chromite Mine Based on Anticipated Performance Index, Dust Capturing Capacity and Metal Accumulation Index
Authors: Mandal Kalicharan , Dhal Nabin Kumar
Published: June 2021

Plant species sustaining under a polluted environment for long time are considered as potentially resistant species. Those plant species can be considered as an eco-sustainable tool used to bio-monitor and mitigate pollution. This study was carried out on total ten commonly available plant species to assess their anticipated performance index (API), Dust capturing capacity (DCC) and Metal accumulation index (MAI) in chromite mine and control area. According to Anticipated performance index (API) Macranga peltata, Holarrhena pubescens and Ficus hispida are highly tolerant species while Terminalia arjuna and Trema orientalis are intermediate tolerant species. Ficus hispida was also showed the highest dust capturing capacity (5.94 ± 0.43 mg/cm2) and whereas Woodfordia fruticosa (1.03 ± 0.11 mg/cm2) was found to be lowest. Metal accumulation index ranged from 17.29 to 4.5 and 6.38 to 1.94 at mine and control area respectively. Two-way ANOVA analysis revealed area wise significant differences between biochemical and physiological parameters. Also, result showed that the pollution level and heavy metal affected different biochemical and physiological parameter of plant species at mining area. The plant species with highest API, DCC and MAI value could be recommended for greenbelt development in different polluted area.
Newly Discovered Tuff in the Lower Shaximiao Formation in Yunyang, Chongqing, Southwestern China and Its Constraint on the Burial Age of the Yunyang Dinosaur Fauna
Authors: Zhou Yuxuan , Yang Wenguang , Dai Hui , Zhang Hongliang , Hu Xufeng , Li Deliang , Yu Haidong , Zhu Lidong , Tan Chao , Li Ning
Published: June 2021

The Shaximiao Formation is one of the important Mesozoic burial horizons of dinosaur fossils in the Sichuan Basin. Although a large number of research results on the stratigraphic age of the Shaximiao Formation have been published, the age and division of the Shaximiao Formation are still controversial. To a certain extent, this affects the precise constraints on the burial age of the dinosaur fauna in Yunyang, Chongqing. In this study, the newly discovered tuff intercalation in the Lower Shaximiao Formation in Pu'an Township, Yunyang County, Chongqing City, was taken as the research object, and its lithology and formation age were determined using thin section identification, X-ray diffraction (XRD), scanning electron microscopy (SEM), and U-Pb zircon dating. The field observations and thin section microscopic characteristics of the rocks reveal that the clay rock intercalation has a typical sedimentary tuff structure, which is altered lithic tuff. The SEM imaging and XRD results indicate that it has a typical tuff mineral composition. The U-Pb zircon dating shows that the weighted average age of the newly discovered tuff is 174.8 ± 2.4 Ma, and the burial age of the dinosaur fossils is estimated to be 174.7 ± 2.4 Ma based on the sedimentation rate and the thickness of the stratum.
Key words: Sichuan Basin; Shaximiao Formation; Yunyang Dinosaur Fauna; Tuff; Burial Age
Molecular Characterization of β-Lactamase Producing Genes and Integrons in Diarrheagenic Escherichia Coli From Diarrheal Children Less Than Five Years of Age in Ouagadougou, Burkina Faso.
Authors: Dembele Rene , Kaboré Wendpoulomdé A.D. , Soulama Issiaka , Traoré Oumar , Ouédraogo Nafissatou , Konaté Ali , Guessennd Nathalie K , N’Golo David Coulibaly , Sanou Antoine , Serme Samuel , Zongo Soumanaba , Sampo Emmanuel , Traoré Alfred S. , Gassama-Sow Amy , Barro Nicolas
Published: June 2021

Background

The aim of this study was to determine the resistance of diarrheagenic Escherichia coli strains to β-lactams antibiotics and to perform the molecular characterization of Extended Spectrum β-lactamases (ESBL) and integrons genes.
Methods

This study was carried out from August 2013 to October 2015 and involved 31 DEC strains isolated from diarrheal stools samples collected from children less than five years of age. The identification and characterization of DEC strains was done through the standard biochemical tests those were confirmed using API 20E and Polymerase Chain Reaction (PCR). The determination of antimicrobial resistance was realized by the disk diffusion method then an amplification of the β-lactamase resistance genes and integrons by PCR was done.
Results

Out of the 419 E. coli strains identified, 31 isolates (7.4%) harbored the DEC virulence genes. From these DEC, 21 (67.7%) were ESBL-producing E. coli. Susceptibility to ESBL-producing E. coli showed that the majority of isolates were highly resistant to amoxicillin (77.4%), amoxicillin clavulanic acid (77.4%) and piperacillin (64.5%). The following antibiotic resistance genes and integron were identified from the 31 DEC isolates: blaTEM (6.5%), blaSHV (19.4%), blaOXA (38.7%) blaCTX−M (9.7%), Int1 (58.1%) and Int3 (19.4%). No class 2 integrons (Int2) was characterized.
Conclusions

Because of the high prevalence of multidrug-resistant ESBL organisms found in this study among pediatric patients, there is a need of stringent pediatric infection control measures.
Changes in Diaphragm Thickness and 6-min Walking Distance Improvement After Inspiratory Muscle Training in Patients With Chronic Obstructive Pulmonary Disease
Authors: Ichiba Tomomi , Miyagawa Tetsuo , Tsuda Toru , Kera Takeshi
Published: June 2021

Background: The Global Initiative for Chronic Obstructive Lung Disease guidelines (http://www.goldcopd.org, accessed January 16, 2020) reported the use of inspiratory muscle training (IMT) as a part of comprehensive respiratory rehabilitation programs for patients with chronic obstructive pulmonary disease (COPD). However, some studies have indicated that the effect of such training is uncertain. Moreover, it is unclear whether IMT effects are caused by improvement in central or peripheral factors. Few studies examining IMT effects have used new evaluation items. We aimed to clarify the effects of IMT by additionally measuring the airway-occlusion pressure at 0.1 s after the start of inspiratory flow (P0.1), as an index of respiratory central output, and by evaluating diaphragm movement based on the thickness of the diaphragm muscle (Tdi) using ultrasound.Methods: Thirteen patients with COPD participated in the study. IMT was performed using the POWER breathe® Medic Plus breathing trainer in combination with each participant’s outpatient rehabilitation regimen. Starting at 20% of the maximal inspiratory pressure (PImax) and increasing to 50%, the participants performed 30 IMT repetitions twice a day for 2 months. Respiratory muscle strength, P0.1, 6-min walking distance (6MWD), and Tdi were measured before and after IMT. Dyspnea, lower limb fatigue (assessed using the Borg Scale), and respiratory rate (RR) were measured before and after the 6-min walk test (6MWT). Results: PImax and 6MWD significantly increased after training. Tdi at resting inspiration and expiration and maximal inspiration also significantly increased after training. In addition, the Borg Scale scores for dyspnea and leg fatigue and the RR of the 1-min recovery period after the 6MWT significantly decreased. There was no significant difference in P0.1.Conclusions: We examined the combined effects of IMT, incorporating the evaluation of P0.1 and Tdi. We found that the PImax, 6MWD, and Tdi significantly increased, but no significant difference was observed in P0.1 after training. These results suggest that the effects of IMT may be attributed to the improved peripheral factors rather than to the central factors.
Prescribed Finite-time ESO-based Prescribed Finite-time Control and Its Application to Partial IGC Design
Authors: Cui Lei , Jin Nan
Published: June 2021

This paper proposes a new extended stateobserver-based sliding mode control strategy with prescribed finite-time convergence. Firstly, a novel prescribed finite-time extended state observer is designed, which estimates the disturbance accurately within a prescribed finite time and effectively solves peaking value problem. Secondly, a new type of second-order prescribed finite-time sliding mode controller is designed to ensure system states converge within a prescribed finite time. Then, the proposed control strategy is applied to the design of partial integrated guidance and control with two-loop controller structure. Finally, the validity of the proposed methodology is verified through numerical simulation.
BCKDK Promotes Epithelial Ovarian Cancer Proliferation and Migration by Activating the MEK/ERK Signaling Pathway
Authors: Li Huashun , Yu Dongyang , Li Lianbing , Xiao Juanjuan , Zhu Yijian , Liu Yi , Mu Li , Tian Yafei , Chen Linbo , Zhu Feng , Duan Qiuhong , Xue Peipei
Published: June 2021

Background: Ovarian cancer is the most fatal gynecologic cancer, and epithelial ovarian cancer (EOC) is the most common type. The branched-chain α-keto acid dehydrogenase kinase (BCKDK) plays an important role in many serious human diseases, including cancers. Its function in promoting cell proliferation and migration has been reported in various cancers. However, the biological role of BCKDK and its molecular mechanisms underlying EOC initiation and progression are unclear.Methods: First, the expression level of BCKDK in EOC cell lines or tissues was determined using tissue microarray (TMA)-based immunohistochemistry or western blotting. Then, growth curve analysis, anchorage-independent cell transformation assays, wound healing assays, cell migration assays, and tumor xenografts were used to test whether BCKDK could promote cell transformation or metastasis. Finally, the signaling pathways involved in this process were investigated by western blotting or immunoprecipitation.Results: We found that the expression of BCKDK was upregulated in EOC tissues and that high expression of BCKDK was correlated with an advanced pathological grade in patients. The ectopic overexpression of BCKDK promoted the proliferation and migration of EOC cells, and the knockdown of BCKDK with shRNAs inhibited the proliferation and migration of EOC ex vivo and in vivo. Moreover, BCKDK promoted EOC proliferation and migration by activating MEK.Conclusions: Our results demonstrate that BCKDK promotes EOC proliferation and migration by activating the MEK/ERK signaling pathway. Targeting the BCKDK-MEK axis may provide a new therapeutic strategy for treating patients with EOC.
WITHDRAWN: The Temporal Dynamics of Three Bacterial Endosymbionts, Wolbachia, Arsenophonus, And Rhizobiales, of the Invasive Yellow Crazy Ant (Anoplolepisgracilipes) in Taiwan are associated with Climate Extremes
Authors: Hsiao Yi-Ting , Lai Ching-Ting , Wu Li-Hsin
Published: June 2021

Symbiotic interactions have facilitated major evolutionary transitions, making them a key component of the success of life. By altering the host’s life-history traits or potential to respond to natural stresses, symbiotic organisms could either exacerbate or ameliorate the effects of environmental pressure on their hosts. These variations are in turn likely to alter the population dynamics of the host species. We examined the temporal dynamics of three bacterial symbionts, Wolbachia, Arsenophonus, and Rhizobiales, in two neighboring yellow crazy ant (Anoplolepis gracilipes (Smith)) colonies for three consecutive months (July - September 2019) in southern Taiwan. Coinfections of Wolbachia and Rhizobiales were consistently detected in all colonies. While the symbiont compositions remained consistent throughout the sampling period at both sites, the coinfection rate of Wolbachia and Rhizobiales showed a negative tendency with increases in the daily mean temperature and its standard deviation, the diurnal temperature difference, and especially precipitation over time. These relationships might be the key to understanding the temporal effects of coinfection dynamics on possible adaptations and physiological responses in A. gracilipes. We then empirically demonstrated the best Wolbachia removal efficiency (40%-27%) under high-temperature treatment, and that the spatial prevalence of Wolbachia increased with latitude in the Southern Hemisphere. Our work highlights the potential protection against climate extremes provided by symbiont coinfection and how climate affects the microbial ecological community at a fine scale.
Prognostic Value of Serum Ammonia in Critical Patients with Non-Hepatic Disease : A Prospective, Observational, Multicenter Study
Authors: Li Yue , Yao Zhipeng , Li Yunlong , Yang Zhenyu , Li Ming , Chen Zhendong , Liu Shujie , Gong Jianguo , Huang Libin , Xu Ping , Li Yan , Li Haihong , Liu Xuan , Zhang Li , Zhang Guixia , Wang Hong-Liang
Published: June 2021

Background: Non-hepatic hyperammonemia can damage the central nervous system (CNS) and possible prognostic factors are lacking. This study aimed to investigate the prognostic and risk factors for patients admitted to the intensive care unit (ICU).Methods: This prospective, observational, multicenter study was conducted between November and December 2019 at 11 ICUs in the Chinese Heilongjiang province. Changes in blood ammonia level during and after ICU admission were continuously monitored, expressed as the high-level (H-), mean-level (M-), and initial-level (I-) of ammonia. The risk factors of poor prognosis were investigated by conducting univariate and multivariate logistic regression analyses. Receiver operating characteristic curve (ROC) analysis was conducted to compare predictive ability of APACHE-II score, lactic acid, TBil, M-ammonia.Results: A total of 1060 patients were included in this study, of which 707 (67%) had a favorable prognosis and 353 (33%) had a poor prognosis. As shown by univariate models, a poor prognosis was associated with elevated serum levels of lactic acid, TBil, and ammonia (P<0.05), and pathologic scores from three assessments: APACHE-II, GCS, and SOFA. Multivariate analysis revealed that circulating mean ammonia levels in ICU patients were independently associated with a poor prognosis (OR=1.73, 95% CI: 1.07-2.80, P=0.02). However, the APACHE-II score (AUC: 0.714, sensitivity: 0.86, specificity: 0.68, P <0.001) remained the most predictive factor for patient prognosis by ROC analysis.Conclusions: Elevated serum levels of ammonia in the blood were independently prognostic for ICU patients without liver disease.Trial registration: ChiCTR1900026632. Registered 16 October 2014.
Development and Psychometric Evaluation of the Telenursing Interaction and Satisfaction Scale (TISS)
Authors: Mattisson Marie , Börjeson Sussanne , Lindberg Malou , Årestedt Kristofer
Published: June 2021

Background: In telenursing, interaction between caller and telenurse is crucial for outcomes such as adherence, safety and satisfaction. There is a recurring demand for improved interaction in telenursing and a lack of measurement scales focusing on caller satisfaction with interaction. The purpose of this study was to develop and evaluate psychometric properties of the Telenursing Interaction and Satisfaction Scale (TISS).Methods: This instrumental development stud was based on cross-sectional data. Callers to the National Medical Advisory Service in Sweden (n=616) completed a 60-item questionnaire, the Telenursing Interaction and Satisfaction Questionnaire (TISQ). Twenty-five of these items were selected to form the TISS. Selected items represent four dimensions of interaction according to the Interaction Model of Client Health Behavior; health information, professional-technical competence, affective support and decisional control. Data quality was evaluated in terms of missing data patterns and score distributions. Factor structure of the scale was evaluated with confirmatory factor analysis, convergent validity with Spearman correlations, internal consistency with ordinal alpha, scale reliability with composite reliability coefficients, and test-retest reliability with intraclass correlations. Results: The amount of missing data was acceptable and equally distributed. The completeness of data was the highest for the subscale of professional-technical competencies (94%) and the lowest for the TISS total scale (80%). Data deviated significantly from a normal distribution, but all response options were endorsed. The CFA confirmed the hypothesized four-factor structure. Factor loadings ranged from 0.56 to 0.97, and factor correlations were high (0.88-0.96). Internal consistency (ordinal alpha = 0.82-0.97), scale reliability (0.88-0.99) and test-retest reliability (ICC = 0.77-0.86) were satisfactory for all scales.Conclusion: The TISS holds satisfactory psychometric properties in the study sample. Findings support the use of four sub-scales for measuring caller satisfaction with interaction in telenursing. A total-score can be calculated and used in situations where multi-collinearity is a problem.
Aggravation of CoVID-19 infections due to air pollutant concentrations in Indian cities
Authors: Mondal Arnab , Sunilkumar Asha , Singh Shishir Kumar , Mondal Surajit , Mondal Amit Kumar
Published: June 2021

In the beginning of March 2020, cases of CoVID-19 infections began rising worldwide, reacting to which the Government of India called for nationwide lockdown initially for March 25th to April 14th, 2020 and later extended it in phases till May 31st, 2020. Due to the forced restrictions pan-India on every level, the move led to drastic drop in pollution levels. The results demonstrated that during lockdown air quality is significantly improved and the pollution levels of PM2.5, PM10, SO2 and NO2 reduced drastically during the lockdown period than the preceding year for the same time frame. A direct relationship has been established between the high level of air pollutants (PM2.5, PM10, NO2 and SO2) and CoVID-19 infections being reported in these Indian cities. The correlation indicates that the air pollutants like PM2.5, PM10, NO2 and SO2 are aggravating the number of casualties due to the CoVID-19 infections. The high-level exposure of PM2.5 over a long period is found to be significantly correlated with the mortality per unit confirmed CoVID-19 cases as compared to other air pollutant parameters like PM10, NO2 and SO2.
Performance evaluation of vertical handover in Internet of Vehicles
Authors: Hussain Shaik Mazhar , Yusof Kamaludin Mohamad , Hussain Shaik Ashfaq , Asuncion Rolito
Published: June 2021

Internet of Vehicles (IoV) is developed by integrating the intelligent transportation system (ITS) and the Internet of Things (IoT). The goal of IoV is to allow vehicles to communicate with other vehicles, humans, pedestrians, roadside units, and other infrastructures. Two potential technologies of V2X communication are dedicated short-range communication (DSRC) and cellular network technologies. Each of these has its benefits and limitations. DSRC has low latency but it limits coverage area and lacks spectrum availability. Whereas 4G LTE offers high bandwidth, wider cell coverage range, but the drawback is its high transmission time intervals. 5G offers enormous benefits to the present wireless communication technology by providing higher data rates and very low latencies for transmissions but is prone to blockages because of its inability to penetrate through the objects. Hence, considering the above issues, single technology will not fully accommodate the V2X requirements which subsequently jeopardize the effectiveness of safety applications. Therefore, for efficient V2X communication, it is required to interwork with DSRC and cellular network technologies. One open research challenge that has gained the attention of the research community over the past few years is the appropriate selection of networks for handover in a heterogeneous IoV environment. Existing solutions have addressed the issues related to handover and network selection but they have failed to address the need for handover while selecting the network. Previous studies have only mentioned that the network is being selected directly for handover or it was connected to the available radio access. Due to this, the occurrence of handover had to take place frequently. Hence, in this research, the integration of DSRC, LTE, and mmWave 5G is incorporated with handover decision, network selection, and routing algorithms. The handover decision is to ensure whether there is a need for vertical handover by using a dynamic Q-learning algorithm. Then, the network selection is based on a fuzzy-convolution neural network that creates fuzzy rules from signal strength, distance, vehicle density, data type, and line of sight. V2V chain routing is proposed to select V2V pairs using a jellyfish optimization algorithm that takes into account the channel, vehicle characteristics, and transmission metrics. This system is developed in an OMNeT++ simulator and the performances are evaluated in terms of mean handover, handover failure, mean throughput, delay, and packet loss.
Stock Price Prediction: LSTM Based Model
Authors: Roy Ranjan Kumar , Ghosh Koyel , Senapati Apurbalal
Published: June 2021

Stock price prediction is a critical field used by most business people and common or retail people who tried to increase their money by value with respect to time. People will either gain money or loss their entire life savings in stock market activity. It is a chaos system. Building an accurate model is complex as variation in price depends on multiple factors such as news, social media data, and fundamentals, production of the company, government bonds, historical price and country's economics factor. Prediction model which considers only one factor might not be accurate. Hence incorporating multiple factors news, social media data and historical price might increase the model's accuracy. This paper tried to incorporate the issue when someone implements it as per the model outcome. It cannot give the proper result when someone implements it in real life since capital market data is very sensitive and news-driven. To avoid such a situation, we use the hedging concept when implemented.
End-to-End Speech Recognition Using Recurrent Neural Network (RNN)
Authors: de Morais Rene Avalloni , Saha Baidya Nath
Published: June 2021

Deep learning algorithms have received dramatic progress in the area of natural language processing and automatic human speech recognition. However, the accuracy of the deep learning algorithms depends on the amount and quality of the data and training deep models requires high-performance computing resources. In this backdrop, this paper adresses an end-to-end speech recognition system where we finetune Mozilla DeepSpeech architecture using two different datasets: LibriSpeech clean dataset and Harvard speech dataset. We train Long Short Term Memory (LSTM) based deep Recurrent Neural Netowrk (RNN) models in Google Colab platform and use their GPU resources. Extensive experimental results demonstrate that Mozilla DeepSpeech model could be fine-tuned for different audio datasets to recognize speeches successfully.
A COVID-19 Corpus Creation for Bengali: In the Context of Language Study
Authors: Mandal Prasanta , Senapati Apurbalal
Published: June 2021

A corpus is a large collection of machine-readable texts, ideally, that should be representative of a Language. Corpus plays an important role in several natural language processing (NLP) and linguistic research. The corpus development itself is a substantial contribution to the resource building of language processing. The corpora play an important role in linguistic study as well as in several NLP tasks like Part-Of-Speech (POS) tagging, Parsing, Semantic tagging, in the parallel corpora, etc. There are numerous corpora in the literature of different languages and most of them are created for a specific purpose. Hence it is obvious that a researcher cannot use any corpus for their particular task. This paper also focuses on an automated technique to create a COVID-19 corpus dedicated to the research in linguistic aspects because of the pandemic situation.
El poder hegemónico y la apropiación cultural de las festividades de San Pedro y San Pablo en la parroquia Picoazá –Ecuador
Authors: Tubay Fanny
Published: June 2021

Desde la mirada de los estudios de la cultura y la hegemonía del poder esta investigación explora desde la perspectiva de sus habitantes, el sentir popular y la apropiación de la celebración religiosa de San Pedro y San Pablo en la parroquia Picoazá (Portoviejo – Ecuador). Para el fin se acude a la metodología cualitativa, utilizando la entrevista como herramienta de corte etnográfico. Los resultados plantean un colectivo apegado a la religión con connotaciones significativas en la organización social y cultural del entorno, dando paso a la reproducción de tradiciones heredadas de generación en generación. Las mismas que a la par, fetichizan y esencializan la actividad, e invisibilizan otros aspectos inherentes a las prácticas culturales.
Palabras sobre Dios en contextos de comunidades periféricas de Medellín
Authors: Rúa Penagos Jonathan Andrés , Toro-Jaramillo Iván Darío
Published: June 2021

Este artículo analiza las “palabras sobre Dios” de cinco comunidades eclesiales periféricas de Medellín, a través de un método hermenéutico y etnográfico. Lo anterior se desarrolla en dos momentos; el primero, caracteriza la población sujeto y objeto de estudio; y el segundo, identifica la visiones y atributos de Dios que estas personas poseen desde la experiencia de lo religioso. Se concluye que la mayoría de las personas que participaron del estudio suponen la existencia de Dios, lo conciben como un ser personal, eterno, espiritual y supremo. En sus afirmaciones se evidencia la influencia de una visión trinitaria de la divinidad que implica un acto de confianza. Dios, en ese contexto, es sobre todo poderoso, actúa y crea. En la manifestación de la experiencia de las personas no se percibe una diferencia conceptual en relación con la visión de Dios que profesa el cristianismo; y aunque hay un uso del lenguaje tradicional para referirse a los contenidos de la fe, no es sencilla la manera en que comprenden y explican cada uno de ellos. Lo anterior tiene una incidencia en las prácticas eclesiales.
Risk management in conventional and Islamic banks in Palestine: A comparative analysis
Authors: Sawafta Othman
Published: June 2021

The aim of the study is to compare credit risk between commercial and Islamic banks in Palestine. The study uses five commercial banks and two Islamic banks, so the Merton model is used to test the hypothesis regarding the research question. Also, cumulative logistic probability distributions are used to derive the probability of default from distance to default. The findings show that commercial banks encompass less credit risk than Islamic banks. Thus, the study recommends that financial institutions in Palestine master management skills and operational systems to cope with the financial environment. They need to increase research and training programs in risk management. Besides, there is a need to reduce lending to public sector (government). There is also a need for a focus on mergers, especially for smaller banks, to increase their capital, so that there are banking units that can compete in providing better customer services and contributing to the stability of the banking sector.
AcknowledgmentThe author is thankful to Palestine Technical University – Kadoorie for funding this research.
City size and functional specialization as factors of smart management: A case of Lviv Oblast, Ukraine
Authors: Lozynskyy Roman , Hrymak Oleh , Kushnir Lesya , Terletska Oksana , Vovk Myroslava
Published: June 2021

The process of understanding the factors that affect the implementation of smart management in cities is pivotal for using this concept to improve the well-being of the population. The goal of this study is to establish the specifics of the implementation of the smart management concept in cities with different sizes and functional specialization. 44 cities of Lviv Oblast (Ukraine) are selected for this goal. The main method was a content analysis of information sources related to the activities of local authorities. The most important indicators that reflect the development of various components of a smart city are analyzed. It is established that measures for the introduction of smart technologies are carried out in most cities of the Oblast (about 80%). The leading cities are Lviv and Drohobych, among other cities are Boryslav, Truskavets, and Zolochiv. The share of cities with a high level of implementation of smart management technology is only 4%. However, 56% of the total urban population lives in these cities. Other cities are the smallest cities that did not have the functions of district centers. The share of such cities is 20% but only 3% of the population inhabits them. Among the components of the smart city concept, e-government tools are being most actively developed, followed by energy efficiency measures. There is no direct relationship between the size of cities and the implementation of smart technologies. Smart technologies are most intensively implemented in cities focused on tourism development. Former industrial cities are less successful.
Criteria of medical response to radiological emergencies in the Republic of Belarus
Authors: Buzdalkin C. N. , Vlasova N. G. , Rozhko A. V. , Bortnovsky V. N.
Published: June 2021

The Republican Research Center for Radiation Medicine and Human Ecology in the Internal and External Emergency Plans of the Belarusian nuclear power plant is specified as an institution that provides specialized treatment for personnel, as well as persons from the population living in the emergency zone of the station. The plant is the first facility in the Republic that used nuclear energy. There is no experience in treating radiation injuries in Belarus. This is the first time that the National Health Service has been assigned the task of ensuring readiness for the reception and specialized treatment of people who have been exposed to emergency or unplanned radiation. The purpose of the work is to establish criteria for radiation exposure for use in a Belarusian specialized medical institution in case of medical response to radiological accidents. As a result of the analysis of publications of international organizations, the criteria of radiation exposure that can be applied in the conditions of Belarusian specialized medical institutions were selected. Assessment of the criteria was made taking into account existing national technical regulations and the available capabilities of emergency response participants. To account for the quality of radiation in relation to deterministic effects “Gy-equivalent” is used. The criteria include both dosimetric values for cases of external and internal accidental and unplanned exposure, and levels of radioactive substances with unknown physical and chemical properties entering the body that require urgent medical intervention. Criteria for cases of surface contamination of skin and wounds require separate consideration.
Radon surveys in the buildings of children institutions
Authors: Kormanovskaya Т. A. , Istorik O. A. , Romanovich I. K. , Eremina L. A. , Koroleva N. A. , Balabina T. A. , Kononenko D. V. , Kokoulina E. S. , Vasilyev A. S.
Published: June 2021

The paper presents data on indoor radon concentrations in the buildings of children institutions in a number of regions of the Russian Federation. The results of detailed radon surveys in 132 buildings of children institutions in 85 settlements of six districts of the Leningrad Region conducted in 2018-2020 were analyzed. In 14 buildings of children institutions in the Leningrad region (10.5% of all surveyed buildings) the hygienic limit on the indoor radon EEC was exceeded, the maximum measured value of radon concentration in the premises of children institutions reached 2200 Bq/m3. It seems appropriate to extend the experience of cooperation between the Directorate of the Rospotrebnadzor for the Leningrad Region and the Saint-Petersburg Research Institute of Radiation Hygiene after Professor P.V. Ramzaev in conducting detailed radon surveys in children institutions on other regions of the Russian Federation that face problems with indoor radon.
Neutron dosimetry at workplaces of JC “Institute of Nuclear Materials”
Authors: Pyshkina M. D. , Vasilyev A. V. , Ekidin A. A. , Nazarov E. I. , Romanova M. A. , Gurinovich V. I. , Komar D. I. , Kozhemyakin V. A.
Published: June 2021

If the neutron fields at personnel workplaces differ from the neutron fields in which individual dosimeters are verified, there is a possibility of additional errors in the assessment of such dosimetric quantities as ambient dose equivalent, individual dose equivalent or effective dose. To take into account the energy distribution of the neutron radiation flux density and the geometry of the irradiation of workers, it is necessary to study the characteristics of the fields of neutron radiation at the workplaces of the personnel. In order to obtain conditionally true levels of personnel exposure to neutron radiation at nuclear facilities, studies of the energy and angular distribution of the neutron radiation flux density were carried out at the workplaces of the Institute of Reactor Materials JSC, Zarechny. The energy distribution of the neutron radiation flux density was obtained using an MKS-AT1117M multi-sphere dosimeter-radiometer with a BDKN-06 detection unit and a set of polyethylene spheres-moderators. The angular distribution of the neutron radiation flux density was estimated from the results of measurements of the accumulated dose of neutron radiation by individual thermoluminescent dosimeters placed on four vertical planes of a heterogeneous human phantom. The results of measurements of the energy and angular distribution of the neutron radiation flux density made it possible to estimate the conditionally true values of the ambient and individual dose equivalents. The calculated conventionally true values differ from the measured values from 0.7 to 8.9 times for the ambient dose equivalent and from 6 to 50 times for the individual dose equivalent. In order to reduce the error in assessing the effective dose of personnel using personal dosimeters, correction factors were determined. For different workplaces and types of personal dosimeters, correction factors are in the range of values from 0.02 to 0.16.
Effect of mineral deficiencies on the red blood cell parameters in cattle
Authors: KACZMAREK BEATA , ADASZEK ŁUKASZ , MIĘTKIEWSKA KLAUDIA
Published: June 2021

Mineral deficiencies are a common problem in dairy herds around the world. Currently, they most often occur in a subclinical form or with atypical symptoms, which makes their diagnosis difficult. New methods and possibilities of identifying mineral deficiencies are being sought. Hematological changes may occur in the early stages of the development of deficiency diseases, and their detection may be helpful in the early diagnosis of diseases. The aim of the article is to present the most important information on disorders in the red blood cell system in the course of mineral deficiencies in dairy cattle. Hematological tests should become one of the most important elements facilitating the determination of the health condition of cows and enabling the correct diagnosis and therapy of cattle diseases. Copper, iron, magnesium and phosphorus deficiencies cause changes in hematological parameters. In iron and copper deficiency, there are microcytic, hypochromatic or normocytic, normochromic anemia. On the other hand, in the deficiency of magnesium and phosphorus, there is normocytic, normochromic anemia.
Dynamic of a cylindrical column on a vibrating base
Authors: Alexander Munitsyn , Maria Munitsyna
Published: June 2021

The solution of the problem of cylindrical column on a rigid horizontal foundation motion is presented. It is assumed that the base moves in a horizontal direction, there is no slippage between the column and the base, and the column height is significantly greater than the base diameter. The modes of oscillations of the column, corresponding to the main resonance for two laws of the base motion are found. The results are presented in the form of amplitude-frequency characteristics. It is shown that the solutions corresponding to the column motion in the plane of vibration excitation are unstable.
The experimental study of elastic-hysteresis properties of rubber elements of sleeve-pin couplings
Authors: Nasonov Dmitry , Ilichev Vladimir , Raevsky Vladimir
Published: June 2021

The work is devoted to the study of the ability of rubber sleeves of different configuration to dampen the vibration energy. The processing of the experiment results showed a significant difference in the elastic hysteresis properties of different rubber element designs and made it possible to choose an element with preferable vibration-isolating properties for use in drive units. Recommendations for further improvement of the design and provision of certain properties of rubber elastic elements are offered.
A method of sound source recognition based on tow weak selection compressed sensing
Authors: Chen Yuxi , Mao Jin , Cui Yahui
Published: June 2021

The current compression sensing sound source recognition algorithm is mainly based on prior knowledge of exact sparsity. This paper proposes the two stagewise weak orthogonal matching pursuit (TSWOMP) compressed sensing reconstruction algorithm for sound source recognition, which selects atoms and detects the reliability of the selected atoms, and deletes the wrong atoms to obtain the final set of atoms. The results of TSWOMP, stagewise weak orthogonal matching pursuit (SWOMP) and conventional beamforming under different frequencies and different SNR are compared through numerical simulation methods. The results show that TSWOMP can effectively reduce the width of the main lobe, suppressing the influence of the side lobes, and improve the resolution. The recognition accuracy of TSWOMP is significantly higher than that of SWOMP. In addition, it can effectively reduce the algorithm's dependence on sparsity.
Improved 3D biomechanical model for evaluation of mass and inertial parameters in few body positions from NASA classification
Authors: Nikolova Gergana , Tsveov Mihail , Dantchev Daniel , Kotev Vladimir
Published: June 2021

The aim of the current article is: 1) to present a 20-segmental biomechanical model of the male human body generated within a SolidWorks® environment.; 2) to improve the 16-segmental biomechanical model of the human body described in our previous investigation, shaping the body with 20 instead of 16 segments.; 3) to determine the mass-inertial characteristics of the human body of the average Bulgarian male based on the model.; 3) to verify the proposed 3D CAD model of the human body against the analytical results from our previous investigation, as well as through comparison with data available in the provided reports.; 4) to predict a human body's mass and inertial properties in several body positions as classified by NASA. The comparison performed between our model results and data reported in the literature gives us confidence that this model could be reliably used to calculate these parameters at various postures of the body.