bluuebunny/crossref_metadata_2025 huggingface dataset:
Anemoside B4 alleviates neuropathic pain through inhibiting inflammation
Authors: Zhao Minghong , Li Haiyan , Yang Tong , Qiu Chong , Lu Tianming , Wang Qixin , Guo Qiuyan , Wang Jigang
Published: July 2022

Research background: Neuropathic pain (NP), which is caused by nerve injury or other diseases damages patients’ life quality seriously. Anemoside B4 (AB4) is the active component of triterpenoid saponins in traditional Chinese medicine Pulsatilla, with prominent effects of anti-inflammation and analgesia. However, its pharmacological mechanisms acting on NP remains unclear.Methods: The analgesia effects of AB4 against NP were investigated on the basis of the spinal nerve ligation (SNL) rat model by detecting the thresholds of mechanical pain and response times to cold stimulate. The key targets of AB4 acting on NP is selected based on the transcriptomic analysis, and their relative expression level was further verified by RT-qPCR. The binding sites of AB4 to the targets were searched by molecular docking. The regulation effects of AB4 on cytokines including IL-1β, IL-6 and TNF-α in the serum of SNL rats were tested by ELISA.Results: In contrast with normal rats, the thresholds of mechanical pain was decreased, whereas the response times to cold stimulate was increased in SNL rats, and the above phenomenon was reversed by AB4 treatment. The transcriptome sequencing results revealed that AB4 mainly regulated the serotonergic synapse, glutamatergic synapse, GABAergic synapse, dopaminergic synapse and cholinergic synapse pathways which was closely related to neuroinflammation and central pain sensitization. Further overlap analysis selected five genes in the pathway, named Alox15, Gngt1, Gngt2, Gnb3 and Tph1 respectively. Further RT-qPCR confirmed that the gene expression of them was down-regulated in the hippocampus of SNL rats, and up-regulated by AB4 administration. According to the molecular docking results, Anemoside B4 forms tightly bonded hydrogen bonding forces with key target molecules of the synaptic pathway, including Alox15, Gngt1, Gngt2, Gnb3 and Tph1. In addition, AB4 treatment also decreased the contents of inflammatory cytokines IL-1β, IL-6 and TNF-α in the serum of SNL rats.Conclusion: Our findings suggested the possibility of AB4 as a promising candidate for NP treatment by inhibiting inflammation.
Accuracy of the Arabic HCL - 32 and MDQ in detecting patients with bipolar disorder
Authors: Ouali Uta , Zgueb Yosra , Jouini Lamia , Aissa Amina , Jomli Rabaa , Ouertani Abdelhafidh , Omrani Adel , Nacef Fethi , Carta Mauro G. , Preti Antonio
Published: July 2022

Background: Studies about two most used and validated instruments for the early detection of BD, the 32 - item Hypomania Checklist (HCL - 32) and the Mood Disorder Questionnaire (MDQ)screeners, in non-Western countries are scarce. This study aimed to explore the reliability, factor structure, and criterion validity of the Arabic versions in a sample of Tunisian patients diagnosed with mood disorder. Methods: The sample included 59 patients with BD, 86 with unipolar MDD and 281 controls. Confirmatory factor analysis was applied to show that a single global score was an appropriate summary measure of the screeners in the sample. Receiver Operating Characteristic analysis was used to assess the capacity of the translated screeners to distinguish patients with BD from those with MDD and controls. Results: Reliability was good for both tools in all samples. The bifactor implementation of the most reported two-factor model had the best fit for both screeners. Both were able to distinguish patients diagnosed with BD from putatively healthy controls, and equally able to distinguish patients diagnosed with BD from patients with MDD. Conclusion: Both screeners work best in excluding the presence of BD in patients with MDD, which is an advantage in deciding whether or not to prescribe an antidepressant.
Construction of Blueberry Hardness Prediction Nutrient Content Model Based on Heterogeneous Stacking Ensemble Learning
Authors: Fu Shenghong , Feng Guohong , Zhu Yujie , Diao Pengfei
Published: July 2022

In order to effectively control the storage quality of blueberries, a prediction model between physical and chemical indicators of blueberries based on heterogeneous Stacking ensemble learning was proposed for the current situation of blueberry quality detection. Firstly, through the correlation analysis of blueberry hardness、mass with the vitamin C, and soluble solid content, a prediction model of the vitamin C and soluble solid content based on one-dimensional features of hardness and mass was established. Secondly, multi-dimensional features were added to the hardness to do the dimensional lift and the same study was carried out in the same dimension. Finally, the prediction effects of Stacking ensemble learning with a single model and the addition of multi-dimensional features were compared (The correlation coefficient and root mean square error of validation of the optimal models were 0.890、0.889 and 0.250、0.232). The results show that heterogeneous Stacking combined with the addition of multi-dimensional features has good predictive potential and provides a new way for blueberry quality detection.
Clinical outcomes following surgical management of deep infiltrating endometriosis: a retrospective cohort study
Authors: LEBORNE Perrine , HUBERLANT Stephanie , MASIA Florent , DE TAYRAC Renaud , LETOUZEY Vincent , ALLEGRE Lucie
Published: July 2022

Objectives: The main aim of the study was to evaluate severe post-operative complications following deep endometriosis surgery in a tertiary referral centre.Methods: This is a retrospective cohort study that included women who had surgery for deep infiltrating endometriosis between 1st January 2013 and 31st December 2019. Endometriosis was diagnosed based on clinical, imaging and histological parameters. We evaluated the rates of post-operative complications, potential risk factors for such complications and postoperative pregnancy rates.Results: A total of 165 patients were included in the final analysis. The median follow-up was 63 (25 - 106) months. Thirty-seven patients (22.42%) had hysterectomy, 60 (36.81%) had ureterolysis and 44 (26.67%) had colorectal surgery. The overall and severe rates of post-operative complications were 16.20% (n=23) and 2.42% (n=4) respectively. Of the variables assessed, operative time and age were the only statistically significant risk factor for complications on multivariate analysis. Among the women operated on for infertility, 34.5% (n=20/58) got pregnant following surgery with 30% of these spontaneously.Conclusions: This study demonstrates acceptable overall and severe post-operative complications and pregnancy rates after deep endometriosis surgery. This information should help clinicians when counselling women to enable them make an informed choice about their management.
A strategic approach in Forensic Investigation of Identical Twins from speech - Deep Learning Networks
Authors: A Revathi , N Sasikaladevi
Published: July 2022

Identification of convict by using several biometrics namely face, finger print, iris, DNA patterns and so on is currently in vogue. Speech is seldom used for such tasks since this process becomes more challenging if it is needed to identify an offender from among identical twin pairs because twins exhibit similar characteristics in contemplating manners, style and expression of emotions. In this work, cost effective speech is used as a biometric to identify twin among twin pairs including identical twins. This work involves the use of perceptual features and deep learning techniques to identify a twin and the performance of the system is analysed by using recognition accuracy, false rejection rate and false acceptance rate as metrics. Deep machine learning techniques namely Recurrent neural networks and Convolutional neural networks are used for creating models for twin pairs. Among the perceptual features, features with filters spaced in Equivalent Rectangular Bandwidth (ERB) and MEL scale have provided 100% as accuracy for both text dependent and text independent modes of classifying the respective twin among the twin pairs based on Convolutional neural network. Perceptual features with filters spaced in BARK scale have provided better accuracy of 98% as compared to other perceptual features for text dependent and independent twin identification by using RNN based machine learning classifier. Hence the experimental results explicitly shows that, proposed method works effectively for twins identification compared to the other existing methods.
A genomic blueprint of the healthy human oesophageal microbiome
Authors: Gilroy Rachel , Adam Mina E , Kumar Bhaskar , Pallen Mark J
Published: July 2022

Background. The oesophageal microbiome is thought to contribute to the pathogenesis of oesophageal cancer. However, investigations using culture and molecular barcodes have provided only a low-resolution view of this important microbial community. We therefore exploited culturomics and metagenomic binning to generate a catalogue of reference genomes from the healthy human oesophageal microbiome, alongside a comparison set from saliva. Results. Twenty-two distinct colonial morphotypes from healthy oesophageal samples were genome-sequenced. These fell into twelve species clusters, eleven of which represented previously defined species. Two isolates belonged to a novel species, which we have named Rothia gullae. We performed metagenomic binning of reads generated from UK samples from this study alongside reads generated from Australian samples in the recent study by Deshpande et al., 2018. Metagenomic binning generated 136 medium or high-quality metagenome-assembled genomes (MAGs). MAGs were assigned to 56 species clusters, eight representing novel Candidatus species, which we have named Ca. Granulicatella gullae, Ca. Streptococcus gullae, Ca. Nanosynbacter quadramensis, Ca. Nanosynbacter gullae, Ca. Nanosynbacter colneyensis, Ca. Nanosynbacter norwichensis, Ca. Nanosynococcus oralis and Ca. Haemophilus gullae. Five of these novel species belong to the recently described phylum Patescibacteria. Although members of the Patescibacteria are known to inhabit the oral cavity, this is the first report of their presence in the oesophagus. Eighteen of the metagenomic species were, until recently, identified only by hard-to-remember alphanumeric placeholder designations. Here we illustrate the utility of a set of recently published arbitrary Latinate species names in providing user-friendly taxonomic labels for microbiome analyses. Our non-redundant species catalogue contained 63 species derived from cultured isolates or MAGs. Mapping revealed that these species account for around half of the sequences in the oesophageal and saliva metagenomes. Although no species was present in all oesophageal samples, 60 species occurred in at least one oesophageal metagenome from either study, with 50 identified in both cohorts. Conclusions. Recovery of genomes and discovery of new species represents an important step forward in our understanding of the oesophageal microbiome. The genes and genomes that we have released into the public domain will provide a base line for future comparative, mechanistic and intervention studies
Clinical implications and genetical insights of SOX6 expression in acute myeloid leukemia
Authors: Li Yan , Jiang Duanfeng , Zhang Qin , Liu Enyi , Shao Haigang
Published: July 2022

Background: Transcription factor SOX6 belongs to Sry‐related high‐mobility‐group box (SOX) family, has been reported to be downregulated and act as a tumor-suppressor gene in various solid tumors, but in acute myeloid leukemia (AML) is incompletely understood.Methods: The SOX6 expression was analyzed between AML patients and normal controls from public data and our research cohort. Correlations between SOX6 expression and clinical, genetic features together with survival were further analyzed.Results: In both public and our present datasets, we demonstrated that SOX6 expression is notably downregulated in AML patients compared with normal controls. Moreover, the expression level of SOX6 was dynamic, along with the disease status. SOX6 was significantly decreased in relapsed/refractory AML compared with complete remission AML. Clinically, SOX6 underexpression was signifcantly correlated with bone marrow blasts, and WBC counts. Furthermore, decreased expression of SOX6 was more common in core binding factor AML (CBF-AML), rarely found in complex karyotype AML (CK-AML), and correlated with FLT3 mutations. By survival analyses, low-expression of SOX6 was associated with shorter overall survival (OS) and event-free survival (EFS) among cytogenetic normal AML (CN-AML) patients. Moreover, both univariate and multivariate analyses showed that low SOX6 expression was an independent unfavorable prognostic biomarker for CN-AML.Conclusions: Our fndings indicated that SOX6 underexpression, as a frequent event in AML, was associated with genetic abnormalities and prognosis in AML. SOX6 might be a valuable biomarker for risk stratification, predicting prognosis and relapse of AML.
Hole-carrier-dominant transport in 2D single-crystal copper
Authors: Kang Kyungrok , Cheon Miyeon , Ok Jong Mok , Kim Su Jae , Lee Yousil , Regmi Binod , Kim Young-Hoon , Kim Young-Min , Kim Seong-Gon , Yang Heejun , Jeong Se-Young
Published: July 2022

The intrinsic nature of electronic transport has been screened by the carrier scattering at grain boundaries in two-dimensional noble metals, such as copper. Here, by realizing the impossible assumption of growing without grain boundaries in thin films, we demonstrate that the transport by hole carriers in 2D copper is the intrinsic nature, which has been screened by the scattering of carriers at grain boundaries. Unlike the grain boundaries, twin boundaries are invisible to conduction carriers, but even a slight tilt from regular twin boundaries is recognized as grain boundaries to electrons, so only complete suppression of grain boundaries can reveal the hidden hole-like characteristic of 2D-single crystal copper. The hole carriers can be explained by the concave Fermi surface of the 2D single-crystal copper, which suggests a breakthrough in manipulating the polarity of majority carriers in metals based on grain boundary engineering in a 2D geometry.
Logarithmic Harnack inequalities and differential Harnack estimates for p-Laplacian on Riemannian manifolds
Authors: Wang Yu-Zhao , Xue Yan
Published: July 2022

In this paper, we study logarithmic Harnack inequalities and differential Harnack estimates for p-Laplacian on Riemannian manifolds, We prove the logarithmic Harnack inequalities for Lp-log-Sobolev functions on Riemannian manifolds with Ricci curvature bounded below, which is related to the Lp-log-Sobolev constant. We obtain a new Li-Yau type differential Harnack estimates for positive solution to p-Laplacian parabolic equation with logarithmic nonlinearity. These results generalize the works of Chung-Yau, F.-Y. Wang and X. Cao ect. for the classic L2 case.Mathematics Subject Classification (2020). 58J05; 58J65
Effectiveness and safety of ustekinumab for the treatment of psoriasis in long-term clinical experience
Authors: Gönülal Melis , Öztürk Aylin , Doğan Sinan , Balcı Didem Didar
Published: July 2022

Background
This study aimed to investigate the long-term clinical experience with ustekinumab in patients with psoriasis.
Materials and methods
This retrospective cohort study group consisted of patients who presented to the dermatology outpatient clinics between January 2015 and January 2021, diagnosed with psoriasis, and were treated with ustekinumab. Data including gender, age, weight, disease duration, naïve and non-naïve status, psoriasis type, duration of medication, comorbidities, first psoriasis area and severity index (PASI) scores, the causes of treatment discontinuation, and previous treatments were retrospectively reviewed and analyzed.
Results
In total, 160 patients with psoriasis were treated with ustekinumab during the study period. Twenty-four cases were excluded. Among 136 patients, 84 (61,8%) were male and 52 (38,2%) were female patients. We found 80.55% of the non-naïve patients responded to ustekinumab treatment.
Conclusion
Ustekinumab can be an appropriate treatment option for non-naïve and resistant patients. Our findings suggest the positive effect persists in patients with favorable responses to the first or second dose of the ustekinumab treatment. Also, they showed male patients gave more rapid and more robust responses than female patients, and they were more enthusiastic about continuing the treatment.
Obtaining optical soliton solutions of the cubic-quartic Fokas-Lenells equation via three different analytical methods
Authors: Onder Ismail , Secer Aydin , Ozisik Muslum , Bayram Mustafa
Published: July 2022

In this study, we have focused on finding soliton solutions of the cubic-quartic Fokas-Lenells equation, which models the nonlinear pulse transmission through optical fiber, is a pretty new and updated model. We have used three different efficient analytical methods, namely, the Sinh-Gordon expansion method, enhanced modified extended tanh expansion method and unified Riccati equation expansion method. By modifying our proposed method and using it effectively, we have obtained much more optical solutions. We have supported the results with the 3D surface, 2D and contour plots of the soliton solutions, such as singular, periodic, periodic-singular, dark and M-shaped solitons. The originality of the method we propose is that it has never been used before. With the innovation of the method, we have obtained M-shaped solitons, which are very rarely obtainable in soliton waves. On the other hand, enhanced modified extended tanh expansion method have provided us more extra solutions. As the last and most important part, in order to examine physical behaviors, we have investigated the effect of the coefficient of the fourth order dispersion parameter on wave propagation by presenting the graphical representation.
Multifamily prevention approach for children and adolescents of parents with mental disorders
Authors: Tapias Eva , Vila-Badia Regina , Cárdenas M. , Ardévol I. , Lacasa F. , Ribalta T. , Pérez O. , Fuentes M. , Fumanal M.J , Vidal M. , Saltó C. , García A , Serrano C. , Ortiz E. , Grases N. , Coromina M
Published: July 2022

Introduction: 32% of children whose parents have mental condition are estimated to be diagnosed with some mental disorder later in life. As a consequence, a need arises to offer preventive psychological interventions aimed at these children. This article presents the results obtained after implementing the Kidstime programme. The aim of this paper is to investigate whether there are significant changes before and after the intervention and to establish participants´ degree of satisfaction with the program. Material and Methods: A design of repeated measures of pre-test and post-test intervention was used. 65 people participated in the program and pre-intervention and post-intervention data were obtained from 40 people through the following questionnaires: Self-Stigma Questionnaire (SSQ), Rosenberg´s self-esteem scale, Connor-Davidson Resilience Scale (CD-RISC), Parenting Practices Inventory (IPC), and strengths and difficulties questionnaire (SDQ). At the end of every workshop, a satisfaction survey was completed by children and adults, getting a total of 173 surveys. Results: Significant pre-post differences were found in the "involvement" and "expression of affection" subscales of the Parenting Patterns Inventory, as well as in children's "prosocial behavior" measured with the SDQ and in patients' self-stigma. There was no difference after intervention on other parameters. Conclusions: Kidstime program have shown to be effective in enhancing parents' emotional support for their children, improving children's prosocial behavior, and reducing patients´ stigma. It is believed that the resilience of children whose parents have mental issues can be fostered through this type of multidisciplinary, psycho-educational, playful intervention, which addresses parenting skills.
Gesture Recognition Using Deep Learning Techniques
Authors: Shukla Shubham
Published: July 2022

Sign language is a method of communication that uses hand gestures and movements rather than words. It is mostly used by Deaf or hearing-impaired individuals. The paper discusses the process of using the hand gestures for Gesture Recognition Based on deep convolutional neural networks (CNN). In this a custom CNN model of five layers is built from the scratch and trained over 2400 images of hand gestures to identify 26 alphabets and 10 numerical from 0 to 9. The diversity and complexity of gestures, on the other hand, have a significant influence on gesture recognition owing to the surroundings, light source, cover, and other considerations. To improve the characteristics of gesture identification, the hand skin color is filtered through the YCbCr color space to segregate the gesture region to be identified, and the noise of the gesture edge is processed using the Gaussian filter. Another task of Speech recognition, often known as speech-to-text, refers to a machine’s or program’s capacity to recognise and transform spoken words into legible text. The vocabulary of rudimentary voice recognition software is restricted, and it can only recognise words and sentences uttered clearly. The paper also discusses the neural networks’ pattern matching ability on audio signals for the speech recognition process. In this an audio is generated and recognised using speech recognition google API which results in text processing using NLP. As a result a GIF or hand gestures are output on the screen corresponding to the audio.
Voice Spoofing Countermeasure for Voice Replay Attacks using Deep Learning
Authors: Zhou Jincheng , Hai Tao , Jawawi Dayang N. A. , Wang Dang , Ibeke Ebuka , Biamba Cresantus
Published: July 2022

In our everyday lives, we communicate with each other using several means and channels of communication, as communication is crucial in the lives of humans. Listening and speaking are the primary forms of communication. For listening and speaking, the human voice is indispensable. Voice communication is the simplest type of communication. The Automatic Speaker Verification (ASV) system verifies users with their voices. These systems are susceptible to voice spoofing attacks - logical and physical access attacks. Recently, there has been a notable development in the detection of these attacks. Attackers use enhanced gadgets to record users' voices, replay it for the ASV system, and be granted access for harmful purposes. In this work, we propose a secure voice spoofing countermeasure for the purpose of detecting voice replay attacks. We enhanced the ASV system security by building a spoofing countermeasure dependent on the decomposed signals that consists of prominent information. We used two main features— the Gammatone Cepstral Coefficients and Mel-Frequency Cepstral Coefficients— for the audio representation. For the classification of the features, we used Bi-directional Long-Short Term Memory Network in cloud, a deep learning classifier. We investigated numerous audio features and examined each feature’s capability to obtain the most vital details from the audio for it to be labelled genuine or a spoof speech. Furthermore, we use various machine learning algorithms to illustrate the superiority of our system compared to the traditional classifiers. The results of the experiments were classified according to the parameters of accuracy, precision rate, recall, F1-score, and Equal Error Rate (EER). The results were 97\%, 100\%, 90.19\% and 94.84\%, and 2.95\%, respectively.
Examining the asymmetric relationship between the national development plan and poverty reduction in Nigeria: Quantile analysis from 1980-2019
Authors: Zaria Yusuf Bala
Published: July 2022

Employing quantile regression to examine the foreign assistance for development, external debt as in stock and real effective exchange rate means a consumer basket of goods and services average effect on poverty reduction in Nigeria. The result reveals the existence of an average short, medium and long term symmetric relationship. At the same time, foreign debt has a negative and significant average effect on poverty reduction in the short term. Also, shows a positive average but insignificant relationship in the short and long term. It implies the national development plan for poverty reduction is insignificant due to corruption and erratic inflation fluctuations.
Distributed impact of Severe Mental Disorders in rural Ethiopia, a qualitative study.
Authors: Fekadu Wubalem , Craig Tom K.J. , Hanlon Charlotte , Mayston Rosie , Fekadu Abebaw
Published: July 2022

Aim: To explore the distributed impact of Severe Mental Disorders (SMD) among people with lived experience of SMD, their family members, and community members.Methods: We conducted in-depth interviews with family key informants of people with SMD (n=32), people with SMD (schizophrenia, bipolar disorder, and major depression) (n=10), and community members (n=6) in rural Ethiopia. The study was nested within a long-standing population-based cohort of people with SMD. Interviews were conducted in Amharic and were audiotaped. We conducted thematic analysis. Results: All except one respondent described multidimensional impacts of the illness on the person with the illness, family members, and the community. We identified four themes: stress and physical tolls, lost expectations, social disruption, and economic threat.Family members reported stress and hopelessness even to the extent that they sometimes wished the individual with the illness would die; some had also tried to harm themselves. Family members reported that their relationships with each other and with the wider community were disrupted significantly. Spouses and children did not get the support they needed leading to disappointed expectations; left alone in caring for children, unable to go to school or dropping out early. The study participants with SMD also spoke about the effects of their illness on other family members and the community which appeared to be a source of shame and self-isolation. Both the family and the community respondents reported the economic effect of the illness which may result in selling assets, debt, unemployment, forced migration, and food insecurity. The community members reported the economic burden and danger related with aggressive behaviour of the person with SMD while the person with the illness and their family members blames the community for the stigma and discrimination against them. Conclusion: SMD has profound consequences on the person with the illness, their family members, and the community. Future interventions for SMD should consider household level interventions to address economic and care needs and mitigate intergenerational impact. The community should be considered as a resource as well as target for intervention.
Characterization of Nanochitosan/Nanosilver-Particles from Commercial Low Molecular Weight Chitosan and Extracted Chitosan from Snail Shell: A Comparative Study
Authors: Nwalieji Okafor Vincent , Bankole Akinyele Abimbola , Daberechukwu Iwe Assumpta , Francisca Mbume Oluchukwu
Published: July 2022

The current work aims to characterize silver nanoparticles/nanochitosan composite materials due to their potential industrial and biomedical applications. Chemical reduction of silver nitrate salts produced silver nanoparticles (AgNPs). LMWCS (low molecular weight chitosan) was obtained, and biodegradable chitosan was extracted from snail shells using a standard method. Sodium tripolyphosphate (TPP) was used to produce chitosan nanoparticles (CSNPs) from extracted chitosan and LMWCS. AgNPs-CSNPs were produced by incorporating AgNPs into CSNPs as antimicrobial agents. Characterization of the chitosan doped silver nanoparticles was accomplished using scanning electron microscopy (SEM), Fourier Transform Infrared Spectroscopy (FTIR), and X-ray Diffraction (XRD). The morphological properties of nanochitosan (ScCSNPs and ArCSNPs) and AgNPs-nanochitosan (ScCSNPs-AgNPs and ArCSNPs-AgNPs) indicated porosity and agglomeration, while functional groups -OH, -NH, and C-H were revealed. The presence of AgNPs in the polymeric matrix of nanochitosan was confirmed by a shift in some of the adsorption bands. The XRD and DSC results indicate that the nanochitosan is crystalline, and they also confirm the presence of AgNPs in the chitosan polymeric matrix. The study found that chitosan extracted from snail shells, which contribute to environmental pollution, could be a good source for the preparation of nanocomposite materials, which are useful in a variety of industrial and biomedical applications.
WITHDRAWN: Fluid flow effects on the combustion characteristics and flame stability of methane-air mixtures in millimeter-scale burners
Authors: Chen Junjie
Published: July 2022

This study relates to the fluid flow effects on the combustion characteristics and flame stability of methane-air mixtures in millimeter-scale burners. Numerical simulations are conducted using computational fluid dynamics to gain insights into burner performance such as temperatures, reaction rates, and flames. Fully simulations are performed that explicitly treat heat and mass transfer in the fluid as well as heat transfer in the wall. The effects of different design factors on flame stability are investigated. The effects of the velocity of fluid flow on flame stability and combustion characteristics are discussed. The factors affecting combustion characteristics are determined for cavity-stabilized burners. Particular focus is placed on determining essential factors that affect the performance of cavity-stabilized burners. The results indicate that the wall thermal conductivity and flow velocities are very important as they determine the upstream heat transfer, which is necessary for flame ignition and stability, and the material's integrity by controlling the existence of hot spots. Two modes of flame extinction occur: a spatially global type for large wall thermal conductivities and low flow velocities and blowout. There exists a narrow range of flow velocities that permit sustained combustion within a burner. For fast flows, blowout occurs, whereas for slow flows, global type extinction occurs due to slow convective heat transfer. For high inlet velocities the location of the flame shifts downstream with increasing flow rate due to the decrease in the convective timescale. For low inlet velocities, a sharp shift of the reaction zone downstream occurs with decreasing flow rate. This is due to the decrease in the heat generation rate.
Baseline-Based Soil Salinity Index (BSSI): A Soil Salinity Index for Coastal Wetland Ecological Environment Research
Authors: Zhang Zhimei , Fan Yanguo , Zhang Aizhu , Jiao Zhijun
Published: July 2022

Soil salinization leads to dehydration of plants, which seriously threatens ecologically sustainable development and food security guarantee. In the complex and diverse coastal wetland environment, the impervious surface and messy soil make it difficult for traditional satellite data and algorithms to accurately and timely monitor the small surface features of salinization. This paper presents a Baseline-Based Soil Salinization Index (BSSI) for soil salinization monitoring using the medium-resolution data. In BSSI, we construct a virtual salinization baseline by connecting the near-infrared (NIR) band and the short-wave infrared-2 (SWIR2) band to enhance the spectral signature of salinized soils under the hybridized region with the impervious surface. In addition, we calculate the distance between the short-wave infrared-1 (SWIR1) band and the virtual salinization baseline as the BSSI, which can effectively improve the stability of salinity inversion for different messy soils. Through data comparison and model simulations, BSSI has shown advantages over a series of the traditional salinization spectral indices (SSIs). The results show that the saline soil extraction accuracy of BSSI exceeds 85% and the correlation coefficient of the BSSI and the degree of soil salinization exceeds 0.90. Since the related spectral bands, such as NIR, SWIR1, and SWIR2, are available on many existing satellite sensors such as Landsat TM/ETM+, OLI, and sentinel 2, the BSSI concept can be extended to establish long-term soil salinity monitoring for coastal wetland ecological environment research.
An analysis of Chinese industrial structure optimization and upgrading under Global Value Chain
Authors: Zhao HongQiang
Published: July 2022

Taking the global value chain as the background, we analyzed the value-added sources of international trade, the exports decomposition of major developed countries and China, industrial structure characteristics of China and value decomposition; and the difficulties and shortcomings of China's industrial restructuring, as well as the methods and channels to sum up. Provided new ideas and methods for China's industrial structure adjustment.
Mild Facial Paresis in a recipient of Gam-COVID-Vac Vaccine: A Case Report.
Authors: Hamidabad Negin Mahmoudi , Mafi Amir Reza , Abolmaali Meysam
Published: July 2022

Facial paralysis has previously been reported as a rare side effect of vaccines such as influenza (1). Among COVID-19 vaccines, there have been reports of facial paralysis associated with BNT162 and 2019-nCoV Vaccine mRNA-1273 vaccines (2). To our knowledge, there is no report of facial paresis due to the Gam-COVID-Vac vaccination. Gam-COVID-Vac vaccine (rAd26 and rAd5 vector-based) was introduced in Russia in August 2020. In September 2020 the first peer-reviewed study of its I/II phase clinical trials was published and no serious side effects were reported (3). The results of the Gam-COVID-Vac phase III clinical trial also had no report of serious side effects (4). The Gam-COVID-Vac vaccine is reported to have above 90 percent efficacy, but still, there is no official report on its safety and efficacy by international organizations (5).Iran is among the countries using the Gam-COVID-Vac vaccine. Despite using this vaccine in many countries, there has been no official report of facial paresis/palsy in association with it. Here, we present a case of mild facial paresis that occurred shortly after Gam-COVID-Vac vaccine administration in a female healthcare worker.
Digital Literacy from 2018-2021: A scientometric study of the literature
Authors:   Miaomiao Wu1, Dorothy DeWitt1*, Norlidah Alias2 & Nor Nazrina Mohamad Nazry3
Published: July 2022

Digital literacy has been receiving a lot of attention from the academic community. The aim of the study is to examine and analyse the current research status in the areas of digital literacy over the four years from 2018 to 2021. By using the keywords “digital literacy” “digital skills” and “digital competence”, this study retrieved 3057 articles from the Web of Science from 2018 to 2021. These journals are then analyzed using the Web of Science analytical search results service and the VOSviewer application based on scientometric methods. The study finds that there has been a largely upward trend in scholarly research in the field of digital literacy over these four years. Europe and the United States have contributed the most research in this field. Digital literacy is multidisciplinary, there are five main themes in this area of research: digital literacy, digital skills, higher education, education and the digital divide, with several sub-themes under each theme. The findings indicate that there does not seem to be a globally agreed definition of digital literacy and there are limitations to the existing tools for measuring digital literacy in the education field. Hence, future research could be done to determine a more inclusive measure of digital literacy that can be used in different contexts.
Nano-DMS-MaP-seq allows isoform specific RNA structure determination
Authors: Smyth Redmond , Bohn Patrick , Gribling-Burrer Anne-Sophie , Ambi Uddhav
Published: July 2022

Chemical probing experiments interrogate RNA structure by reacting with unpaired residues whose positions are typically read out by mutational profiling on short-read sequencing machines. Such experiments make rapid and genome-wide measurements of RNA structure, but short sequencing reads can rarely be mapped to specific transcript isoforms. Consequently, RNA structure information is acquired as a population average in common regions between transcripts. Here, we present nanopore dimethyl-sulfate mutational profiling (Nano-DMS-MaP-seq) for obtaining isoform resolved structural information of highly similar RNA molecules. We demonstrate the utility of Nano-DMS-MaP-seq by resolving the complex structural landscape of HIV-1 transcripts in infected cells. We show that unspliced and spliced transcripts have distinct structures in the common 5’UTR explaining the specific packaging of only unspliced RNAs into viral particles. Thus, Nano-DMS-MaP-seq is a straightforward method to resolve biologically important transcript-specific RNA structures that were previously hidden in short read ensemble analyses.
The vibration stress of the feller-buncher operator during the process of loading the logs onto a timber truck.
Authors: Александров В.А. , Александров А.В. , Волков А.Ф. , Лузанова Л.Н.
Published: July 2022

Разработана математическая модель динамической системы: «Валочнопакетирующая машина – предмет труда – дерево». Математическое описание составлено в форме уравнения Лагранжа 2-го рода. Система уравнений решена методом Рунге – Кутта, с помощью среды программирования MathCAD. Апробация модели осуществлена на примере серийно выпускаемых валочнопакетирующих машин ЛП-19А в режимах разгона и стопорения.

In article the dynamic model of system is developed «the operator – skidding tractor – tree bunch». The mathematical description is worked out in the form of the equation of Lagrange second number. The system of the equations is solved concerning elastic deformation of the suspension seats. Model approbation is carried out on an example of serially felling and skidding machine LP-19A.
Digital Technologies Within the DIY Store: A Systematic Literature Review
Authors: Rode Dominik , Stammen-Hegener Cathrin
Published: July 2022

Digital technologies and the resulting changes have a massive impact on economic, political, and social levels. The challenges this creates result in both opportunities and threats for numerous sectors. Successfully managing the transformations arising from digital technologies will be a formidable challenge in the future. These changes are also having a massive impact on the retail sector, which is also facing unprecedented challenges. The purpose of this paper is to deliver a contribution for management research, by providing a systematic overview of which digital technologies are being used within the brick-and-mortar stores’ POS (point of sale) in the DIY sector, and how successful they are. The underlying methodology of this paper is a systematic literature review of academic research on digital technologies used within DIY (do-it-yourself) stores to provide a current state of research in a gathered, examined, and synthesized manner. To achieve this objective and ensure consistency in the execution of the review, it has been completed following a detailed review protocol. Based on a search on Business Source Premier, EconLit, IEEE Xplore Digital Library and ACM Digital Library databases over a recent period of ten years, all relevant studies on digital technologies in the DIY sector were identified and applicable information from each study was systematically extracted. The paper yields a systematic overview and important insights into digital technologies being used in the DIY sector. A comprehensive conceptualization of these technologies has been provided, categorizing them into the most important main areas. There are numerous studies in the scientific literature on digital technologies and the resulting digital transformation. However, explicit investigations into the area of the DIY sector are minimal. This is, even though sales in the DIY sector were 701 billion euros worldwide in 2020 (DIY International, 2021). For this reason, the added value of this article for scientists and practitioners lies in providing a comprehensive conceptualization of the scientific literature on the application of digital technologies in the DIY sector. In addition, appropriate proposal recommendations for action for decision-makers in this and additional industries are presented.
Ethical Concerns While Using Artificial Intelligence in Recruitment of Employees
Authors: Gupta Aashima , Mishra Mridula
Published: July 2022

Artificial Intelligence has evolved as an alternative to human intelligence. It affects the lives of billions of people. It mimics humans by solving problems and understanding the task. These Artificial Intelligence technologies must have some moral values and ethics incorporated within itself. The usage of AI is growing worldwide, posing more ethical issues to consider. In recent years, many companies have used various Artificial Intelligence tools such as chatbots and face recognition software for fulfilling their hiring needs. This research work will focus on such devices that help manage one of the important functions of human resources: recruitment. It will identify various challenges and ethical issues that a firm faces while assimilating Artificial Intelligence tools in the process of Recruitment. The hiring companies need to make the job seekers realize that AI-powered tools would be free from discrimination and safeguard privacy. The purpose of the study is to identify the ethical issues while incorporating Artificial Intelligence into hiring needs. The study will be based on reviews and features of applications. The study mentions various applications whose features might be unethical for job seekers. Findings reveal that the significant unethical issues faced by the hiring companies are Data privacy and unconscious biasness. The biasness is due to the algorithm that works according to the inputs fed to build it, and the programmer might have subconscious biasness in his mind. AI has restored concerns regarding privacy and data protection. According to a report by UNESCO, Women make up only 22% of all AI professionals. Gender prejudices and stereotyping are perpetuated in AI technologies due to their underrepresentation in the sector. Virtual personal assistants like Siri, Alexa, and Cortana are “female” by default, which is no accident. The submissiveness they display is an illustration of how Artificial Intelligence (AI) might continue to support and extend gender bias in our society.
Organisational Ethics Management to Promote Good Governance in the South African Public Service
Authors: Maile Kgopotso Valema , Doorgapersad Shikha-Vyas
Published: July 2022

This paper summarizes the arguments and counterarguments within the scientific discussion on the issue of misconduct. The purpose of the research is to explore the need for organizational ethics management to promote good governance in the South African Department of Public Works and Infrastructure. Systematization of the literary sources and approaches for solving the problem of misconduct indicates that despite the legislative and institutional frameworks that are implemented, various forms of misconduct persist in the department, the cause of which could be institutional and explored and described in the study. The relevance of this scientific problem decision is that this study intends to promote good governance in one chosen department in South Africa, and the findings may also apply to other government departments. Investigation in the paper is conducted in the following logical sequence: conceptual frameworks of organisational ethics management and good governance are explained, followed by an explanation as to how organisational ethics management can promote good governance; after that, a contextual framework is discussed, exploring various cases of misconduct that impede good governance in the Department of Public Works and Infrastructure. The methodological tools of the research methods were conceptual and document analysis and synthesis. The paper presents the qualitative study results which show few institutional factors, such as lack of audit action plans, absence of funding models, ineffective internal control systems, and lack of compliance. These may be considered factors impeding good governance in the Department. The results show that organisational ethics management needs to incorporate various aspects of ethics into the Department, such as ethics training, code of conduct, establishing an ethics committee, promoting ethical behaviour, and disciplinary measures to combat misconduct and promote good governance. The results of the research could be helpful for other South African government departments to combat misconduct and promote good governance.
Ethical and Pragmatic Issues of Quality of Life: Experience of Autistic Children’s Parents in Algiers
Authors: Fadel Sabah , Necib Hafisa , Rouaski Khaled , Bekkis Imene
Published: July 2022

Autism is a neuron developmental disorder complex that appears in early childhood, characterized by a general disorder of development, a disorder of social interactions, communication and some unusual behavioural characteristics. Specialists are constantly refining and improving their diagnostic criteria to establish an ideal classification that the scientific and medical community can use, two theoretical approaches are used: ICD-10 and DSM-5. All these symptoms affect the quality of life of parents on the plan: psychological, physical and social. In Algeria, the number of autistic cases is between 400,000 and 500,000. “There are three to four boys for every girl”. When a child is born with a disability, has a developmental delay or is diagnosed with autism, this causes major upheaval in the lives of the parents, who must learn to adapt to a “different” child, even if ‘they are worried about his well-being and his future. The purpose of this study is to measure the impact of autism on the parents’ quality of life in Algiers and the factors that influence them. The first theoretical part will review the conceptual framework of autism, the statistics available in Algeria, and, on the other hand, the conceptual framework of the quality of life, with its main components: physical, mental and social well-being. The second, practical part, we conducted a survey by parents of children with autism and then interpreted the results to determine the impact of a child autistic on the quality of life of parents. According to our study, there is a proportional relationship between the degree of autism severity and the repercussions on the parents’ health; we notice from the results (Sig =0.00<0.05) that there is a relationship between the type of autism and the impact on the parents’ physical health. The V Cramer test shows that there is a strong relationship. The survey was made from April 16, 2019, to May 5, 2019, intended for the 103 parents of autistic children who live in the region of Algiers.