bluuebunny/crossref_metadata_2025_split huggingface dataset:
SARS-Cov 2 infection and anti-tuberculosis immunity: temporal association or real protective role?
Authors: SANAA HAMMI , MYRIEM BOURKIA , NAJDI ADIL , RAJAE CHAHBOUNE , KARIMA RISSOUL , EDDINE BOURKADI JAMAL , JOUDA BENAMOR , FATEMA EL BOUZOUIKI , SOUMIYA EL BACHIRI , MOHAMMED MOUMKIN , RACHID ISMAILI , MOURABAIT NADIRA , OUAFAE KAISSI , ZERROUKI ASMAE , GROURINDA ADIL , BOUSGHEIRI FADILA , BELAFKI HASSANA , MHAMED HARIF , MOHAMED AHALAT 
Published: December 2021

Abstract
Introduction: According to the literature consulted to date, there is epidemiological heterogeneity of covid 19 between countries depending on their vaccination policy, in particular BCG vaccination. These findings have led to several hypotheses, including the protective role of immunity induced by the BCG tuberculosis vaccine against Covid-19 infection. The immunity induced by the BCG vaccine significantly increases the secretion of pro-inflammatory cytokines, in particular IL-1B, which has been shown to play an essential role in antiviral immunity. This cross-immunity, although not specific, if highlighted, is a real providence that must be taken advantage of in the face of this pandemic. The main objective of this study is to rule out or confirm that anti-tuberculosis immunity protects against SARS-COV 2 in our context. Materiel and methods: Two groups will be compared: cases infected with the virus and controls who have never been infected with the virus. Both case and control groups will undergo a tuberculin skin test: the intra dermal tuberculin reaction (IDR). Results: We found that our control group had a high IDR immunity value, with an IDR tuberculin positive percentage of 67.2%. This suggests that immunity to IDR is a protective factor against coronavirus disease. Conclusion: The hypothesis of nonspecific anti-tuberculosis protection deserves further verification studies; it would have large positive repercussions for developing countries.
Research and Development of Parametric Design Platform for Series Complex Cutting Tools
Authors: Lin Zhi , Yue Caixu , Hu Desheng , Liu Xianli , Liang Steven Y. , Jiang Zhipeng , Zhang Anshan , Yue Daxun 
Published: December 2021

Abstract
Metal cutting tool is an important part of machining, and its performance directly affects the manufacturing efficiency and machining quality of products. With the increasing demands in manufacturing industry of cutting performance, machining efficiency, customization and quick response, traditional tool design methods can no longer meet the above requirements due to many repetitive work, large amount of calculation, complex process and low efficiency. Parametric design has become a new development direction of customized tool design because of its fast, stable and accurate characteristics. In this paper, the parametric design of cutting tools is realized based on the process construction method of model generating history. The tool parametric design platform is developed by the method of secondary development of commercial CAD software. The platform realizes automatic operation in the background without the main interface of CAD software, completes the parametric modeling process of tools, generates 2D drawings and 3D models conforming to ISO 13399 standard, and realizes the cloud storage function of model data. The platform has simple operation and good man-machine interaction, and realizes the parametric design of many kinds of tools. Compare with that traditional modeling method, using this parametric modeling platform, the modeling efficiency is increased by 90% on average. This platform is of great significance to improve the design efficiency of complex customized tools and shorten the original design cycle by 30%.
Deep Learning Based Classification of Time Series of Chaotic Systems over Graphic Images
Authors: UZUN Süleyman , KAÇAR Sezgin , ARICIOĞLU Burak 
Published: December 2021

Abstract
In this study, for the first time in the literature, identification of different chaotic systems by classifying graphic images of their time series with deep learning methods is aimed. For this purpose, a data set is generated that consists of the graphic images of time series of the most known three chaotic systems: Lorenz, Chen, and Rossler systems. The time series are obtained for different parameter values, initial conditions, step size and time lengths. After generating the data set, a high-accuracy classification is performed by using transfer learning method. In the study, the most accepted deep learning models of the transfer learning methods are employed. These models are SqueezeNet, VGG-19, AlexNet, ResNet50, ResNet101, DenseNet201, ShuffleNet and GoogLeNet. As a result of the study, classification accuracy is found between 96% and 97% depending on the problem. Thus, this study makes association of real time random signals with a mathematical system possible.
Retrospective Evaluation of Variations in Root Canal Morphology of Permanent Maxillary Premolars Among the Emirate Population
Authors: Alnaqbi Hajir S.Y. , Gorduysus Mehmet Omer , Shehadat Saaid Al , Bayatti Saad Wahbi Al , Mahmoud Ibrahim 
Published: December 2021

Abstract
Background: This research aims to identify the most common morphology of the upper premolars in a group of local and nonlocal people in the UAE using cone-beam computed tomography (CBCT).Methods: CBCT images of a total of 214 intact maxillary premolars were analysed with 3D reconstruction GALAXIS viewer software. The Pearson Chi squared test and the two samples t test were applied.Results: In all, 90% of the maxillary first premolars had two roots (92% females, 88% males, 83% locals, 96% nonlocals). A total of 52% of maxillary second premolars had two roots (47% females, 56% males, 38% locals, 67% nonlocals). Two cases had three roots among local males. A significant difference of one root in the maxillary second premolar was observed between locals (63%) and nonlocals (33%), while two roots were higher among nonlocals (67%) than locals (37%, p = 0.002). Three roots were discovered in two teeth of the local UAE first premolar. The most common canal morphology in the maxillary first premolar group among local UAE subjects was type V (52%), and among nonlocal UAE subjects was type V (59%). Additional types included 7 (13.2%) identiﬁed and unrelated to the Vertucci classification. The dominant canal morphology in the maxillary second premolar among local UAE subjects was type II (32%), and among nonlocal UAE subjects was type V (25%); among the additional types, 12 (23.1%) were identiﬁed and not related to the Vertucci classification. There was a significant difference in the distance from the pulp chamber roof to the cementoenamel junction (CEJ) and the measurement between the single-rooted maxillary premolar CBCT for local UAE subjects was 1.36 mm (SD ±0.75) and for nonlocal subjects was 1 mm (SD ±0.27, p = 0.049). There were statistically significant differences in all measurements between multiple rooted maxillary premolar CBCTs for local UAE and South Asian subjects (p < 0.05)Conclusions: The results suggest a more quantitative approach to maxillary first and second premolar access cavity preparation in the UAE population to prevent errors and iatrogenic damage when identifying the canals; using CBCT measurements for more precise access preparations may be advantageous.
The Application of R.E.N.A.L. Nephrometry Score In Laparoscopic Partial Nephrectomy With Zero Ischemia And Sutureless
Authors: Mu Yi , Chen Kehang , He Jun , Chen Peng , Liu Miao , Tang Kaifa 
Published: December 2021

Abstract
Background: To evaluate the application of R.E.N.A.L. nephrometry score (RNS) in laparoscopic partial nephrectomy (LPN) with zero ischemia and sutureless surgery, and to explore the efficacy and safety of zero ischemia and seamless LPN in the treatment of renal cell carcinoma.Methods: The clinical data of 67 patients with renal cell carcinoma treated by LPN in the affiliated Hospital of Guizhou Medical University from January 2016 to July 2020 were analyzed retrospectively. The patients were divided into renal artery occlusion group (n=31) and non-occlusion group (n=36). All cases were divided according to their RNS (low, moderate, and high), and the perioperative condition, postoperative complications, postoperative recovery and changes of renal function in the two groups were analyzed.Results: According to the RNS, all cases were classified in low-complex. Both groups successfully completed the operation without operative complications. Compared with the renal artery occlusion group, the non-occlusion group had a shorter operation time (35.51±20.48 min), shorter hospital stay (6.72±4.39 d), and no significant difference in intraoperative blood loss(50.39±30.19 ml). During the 6-month follow-up, the creatinine value of the renal function in the non-occlusion group (78.47±10.98μmol/L) was lower than that in the occlusion group(98.21±8.06μmol/L).Conclusion: Zero-ischemia sutureless LPN technique can effectively reduce the time of ischemia and avoid renal ischemia-reperfusion injury. This surgical technique may be a feasible surgical method for the treatment of low RNS renal cell carcinoma.
The Detailed Doubly Fed Induction Wind Generator for Electromagnetic Transients Calculations and its Initialization in ATP
Authors: Venerdini Guillermo David Guidi , Mombello Enrique Esteban 
Published: December 2021

Abstract
The Alternative Transients Program (ATP) is one of the most used electromagnetic transient programs due to its powerful modeling capability and versatility. However, it has limitations as regards the automatic initialization of power electronics devices and control systems. To overcome this drawback, a simple methodology is presented in this paper to initialize a detailed model of a doubly fed induction wind generator implemented in ATP. The methodology is based on the automatic initialization of this device and it is divided into two stages. The first one consists of offline calculations to obtain initial steady-state values of certain model variables and, in the second one, these results are used as ATP model parameters. The simulation is started by means of auxiliary switches also included in the model. To validate the methodology, the transient and steady-state behavior of 4 case studies was evaluated. The analysis of these results shows that the steady-state values calculated by ATP for t = 0 are the desired ones and the oscillograms present a steady-state condition. The proposed methodology makes it possible to accurately initialize a detailed DFIG-type generator model in ATP, without the need to sacrifice simulation time to wait for variables to reach a steady state.
Engineering of Calcium Alginate- PANI@Sawdust Wood hydrogel Bio-beads for the Removal of the Sulfonate Groups-Containing Orange G dye from Aqueous Solution
Authors: IMGHARN ABDELAZIZ , Aarab Nouh , Hsini Abdelghani , Naciri Yassine , Elhoudi Mohammed , Haki Mohamed Ait , Laabd Mohamed , Lakhmiri Rajae , Albourine Abdallah 
Published: December 2021

Abstract
The aim of this work is to investigate the adsorption performance of orange G (OG) dye from aqueous solutions employing PANI@sawdust biocomposite enrobed by calcium-alginate biobeads (Alg-PANI@SD). The as-prepared adsorbent was characterized by scanning-electron-microscopy (SEM), X-ray energy dispersive spectroscopy (EDS) and Fourier transforms infrared (FT-IR) spectroscopy, and used to remove Orange G dye from water. batch tests were performed as a function of adsorbent dosage, pH, contact time, interfering ions and initial OG dye concentration. Experimental results show that the kinetic model of pseudo-first-order (PFO) and Freundlich isotherm provided a good fitting of the whole experimental data. The results revealed that the as-prepared tricomposite Alg-PANI@SD, has the potential to be applied as a low-cost adsorbent for the adsorption of OG dye from aqueous media.
Spatial–temporal characteristics and driving factors of flash floods in Shaanxi Province considering regional differentiation
Authors: Zhang Han , Luo Jungang , Wu Jingyan , Yu Mengjie 
Published: December 2021

Abstract
Flash floods show strong regional differentiation in spatial–temporal distribution and driving forces, thereby hindering their effective prevention and control. This study analyzed the spatiotemporal characteristics of flash floods in Shaanxi Province, China, differentiated among the northern Shaanxi (NS), Guanzhong (GZ), and southern Shaanxi (SS) regions based on the Mann–Kendall, Theil–Sen Median, and standard deviation ellipse methods. The main factors driving disasters and their interactions in each region were then identified within the three categories of precipitation factor (PPF), surface environment factor, and human activity factor (HAF) based on a geographical detector. Finally, the differences in flash flood characteristics among the NS, GZ, and SS regions were analyzed. The results showed that flash floods in Shaanxi Province are greatly affected by the PPF and the HAF, although the spatial–temporal characteristics and disaster-causing factors were significantly different in each region. The regions were ranked according to the number and growth trends of flash floods as follows: SS &gt; GZ &gt; NS. Furthermore, flash floods were affected by multiple factors, with the interaction between factors acting as a driving force of flash floods. The results of this study can provide a reference for the management of flash floods under regional differentiation.
Biogeochemical responses of a highly polluted tropical coastal lagoon after the passage of a strong hurricane (Hurricane Irma)
Authors: González-De Zayas Roberto , Merino-Ibarra Martín , Lestayo González Julio A. , Chaviano-Fernández Yida , Alatorre Mendieta Miguel A. , Pupo Felipe Matos , Castillo-Sandoval Fermín S. 
Published: December 2021

Abstract
Laguna Larga (Cayo Coco, Cuba) is a eutrophic coastal lagoon due to tourism development. As part of long-term monitoring of Laguna Larga, we were able to follow the lagoon's water quality from 2015 to 2018 and could assess the impacts of Hurricane Irma (September 8–9, 2017) by intensifying our sampling frequency. Physicochemical parameters (salinity, pH, dissolved oxygen, dissolved inorganic nitrogen, dissolved reactive silicate and total nitrogen) exhibited significant variations associated with Hurricane Irma. Salinity decreased due to the extraordinary rainfall of the hurricane (339.8 mm/24 h, a new record for Cayo Coco). The water level in the lagoon rose 0.85 m. Strong hurricane winds and intense runoff drove organic matter and sediment resuspension. Anoxia and an increase of nutrients occurred throughout the lagoon. The main biogeochemical impact was that it boosted these eutrophic conditions of the lagoon, to levels that lasted for several months. A significant correlation among nutrients, salinity and dissolved oxygen was found. After 6 months, water quality in the lagoon had recovered to conditions similar to those before the hurricane. The case of Laguna Larga shows that those coastal systems under anthropic pressure can take longer to recover after extreme climatic events, and highlights the need for long-term monitoring of tropical coastal ecosystems.
Comparison between double slope solar still and fourfold slope solar still: energy, exergy, exergoeconomic, and enviroeconomic evaluation
Authors: Sun Zhilin , Tu Wenrong , Fang Shibiao , Zhong Wenjun 
Published: December 2021

Abstract
This paper proposes a single basin fourfold slope solar still, which includes a fourfold slope glass cover plate used for solar heat collection and steam condensation. In order to show the efficiency of the fourfold slope solar still, comparative experiments are conducted under the winter climate conditions in Hangzhou for testing the operational performance of a double slope type solar still (DOSS) and the fourfold slope still (FOSS), so as to make a comparative analysis between them. Results show that the productivity of the fourfold slope still is 19.51% higher than that of the double slope still, and the fourfold slope solar still enhances the average hourly energy efficiency by 31.11%. According to the energy method, the energy payback time values of the fourfold slope solar still and double slope solar still are 64.88 months and 75.42 months respectively. According to the environmental parameter method, FOSS and DOSS reduce 5.47 tons and 4.58 tons of CO2 respectively. The corresponding values based on the exergy environment parameters are 0.21 and 0.18 tons of CO2, respectively. The fourfold slope solar still has a more obvious emission reduction function than the double slope solar still. The cost of the distilled water of the fourfold slope solar still is 0.28 RMB/kg, and the cost of the double slope solar still is 0.30 RMB/kg. In addition, the environmental and economic parameters of the fourfold slope still and double slope still are 79.29$ (561.37RMB) and 66.35$ (469.76RMB), respectively. While, the corresponding values based on the exergoenvironmental parameter are 3.05$ (21.59RMB) and 2.56$ (18.12RMB), respectively. From the analysis of exergoeconomic and exergoenvironmental parameters, the fourfold slope single basin solar still appears to be more effective.
An optimized PSO-ANN model for improved prediction of water treatment desalination plant performance
Authors: Mahadeva R. , Kumar M. , Patole S. P. , Manik G. 
Published: December 2021

Abstract
An accurate prediction of the performance of water treatment desalination plants could directly improve the global socio-economic balance. In this regard, many researchers have been engaged in the various artificial intelligence applied soft computing techniques to predict actual process outcomes. Inspired by the significance of such techniques, an optimized Particle Swarm Optimization based Artificial Neural Network (PSO-ANN) technique has been proposed herewith to predict an accurate performance of the reverse osmosis (RO) based water treatment desalination plants. Literature suggests that the improvements of the soft computing models depend on their modeling parameters. Therefore, we have included an extended list of nine modeling parameters with a systematic indepth investigation to explore their optimal values. Finally, the model's simulations results (R2 = 99.1%, Error = 0.006) were found superior to the existing ANN models (R2 = 98.8%, Error = 0.060), with the same experimental datasets. Additionally, the simulation results recommend that among many parameters considered, the number of hidden layer nodes (n), swarm sizes (SS), and the weight of inertia (ω) play a major role in the model optimization. This study for a more accurate prediction of the plant's performance shall pave the way for the process design and control engineers to improve the plant efficiency further.
A Proteomics Study of the Subacute Toxicity of Rat Brain after Long-
Term Exposure of Gelsemium elegans
Authors: Zuo Meng-Ting , Huang Si-Juan , Wu Yong , Tang Mo-Huan , Yu Hui , Qi Xue-Jia , Liu Zhao-Ying 
Published: December 2021

Background:
Gelsemium elegans (G. elegans) has been shown to have strong pharmacological
and pharmacodynamic effects in relevant studies both in China and USA. G. elegans has
been used as a traditional medicine to treat a variety of diseases and even has the potential to be an
alternative to laboratory synthesized drugs. However, its toxicity severely limited its application
and development. At present, there is little attention paid to protein changes in toxicity.

Aim:
This study investigated the toxicity effects after long-term exposure of G. elegans of the rat
brain through proteomic.

Method:
11 differential abundance proteins were detected, among which 8 proteins were higher
in the G. elegans- exposure group than in the control group, including Ig-like domain-containing
protein (N/A), receptor-type tyrosine-protein phosphatase C (Ptprc), disheveled segment polarity
protein 3 (Dvl3), trafficking protein particle complex 12 (Trappc12), seizure-related 6 homologlike
(Sez6l), transmembrane 9 superfamily member 4 (Tm9sf4), DENN domain-containing protein
5A (Dennd5a) and Tle4, whereas the other 3 proteins do the opposite including Golgi to ER traffic
protein 4 (Get4), vacuolar protein sorting 4 homolog B (Vps4b) and cadherin-related 23 (CDH23).
Furthermore, we performed validation of WB analysis on the key protein CDH23.

Results:
Finally, only fewer proteins and related metabolic pathways were affected, indicating that
there was no accumulative toxicity of G. elegans. G. elegans has the potential to develop and utilize
of its pharmacological activity. CHD23, however, is a protein associated with hearing.

Conclusion:
Whether the hearing impairment is a sequela after G. elegans exposure remains to be
further studied.
Neuroprotective Role of Nutritional Supplementation in Athletes
Authors: Chawla Viney , Mishra Supriya , Singh Vikram Jeet , Chawla Pooja A 
Published: December 2021

Background:Neurodegenerative disorders belong to different classes of progressive/chronic conditions that affect the peripheral/central nervous system. It has been shown through studies that athletes who play sports involving repeated head trauma and sub-concussive impacts are more likely to experience neurological impairments and neurodegenerative disorders in the long run.Aims:The aim of the current narrative review article is to provide a summary of various nutraceuticals that offer promise in the prevention or management of sports-related injuries, especially concussions and mild traumatic brain injuries.Methods:This article reviews the various potential nutraceutical agents and their possible mechanisms in providing a beneficial effect in the injury recovery process. A thorough survey of the literature was carried out in the relevant databases to identify studies published in recent years. In the present article, we have also highlighted the major neurological disorders along with the associated nutraceutical(s) therapy in the management of disorders.Results:The exact pathological mechanism behind neurodegenerative conditions is complex as well as idiopathic. However, mitochondrial dysfunction, oxidative stress as well as intracellular calcium overload are some common reasons responsible for the progression of these neurodegenerative disorders. Owing to the multifaceted effects of nutraceuticals (complementary medicine), these supplements have gained importance as neuroprotective. These diet-based approaches inhibit different pathways in a physiological manner without eliciting adverse effects. Food habits and lifestyle of an individual also affect neurodegeneration.Conclusion:Studies have shown nutraceuticals (such as resveratrol, omega-3-fatty acids) to be efficacious in terms of their neuroprotection against several neurodegenerative disorders and to be used as supplements in the management of traumatic brain injuries. Protection prior to injuries is needed since concussions or sub-concussive impacts may trigger several pathophysiological responses or cascades that can lead to long-term complications associated with CNS. Thus, the use of nutraceuticals as prophylactic treatment for neurological interventions has been proposed.