bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impacts des affectations des terres sur la structure des peuplements de Bombax costatum en zone soudanienne du Bénin
Authors: ASSOGBA Gnido Amandine , FANDOHAN Adandé Belarmain , GANDJI Kisito , SALAKO Kolawolé Valère , ADOMOU Aristide , ASSOGBADJO Achille Ephrem 
Published: July 2021

Bombax costatum est une espèce agroforestière menacée de disparition du fait des fortes pressions anthropiques qu’elle subit par le prélèvement de son calice. La présente étude a pour objectif d’évaluer l’influence des modes d’affectation des terres sur les caractéristiques dendrométriques, les types morphologiques et la phénologie de B. costatum dans la Réserve de biosphère de la Pendjari (RBP). Quatorze placeaux de 200 m × 200 m répartis dans quatre modes d’affectation des terres (zone d’occupation contrôlée, chaîne de l’Atacora, zone cynégétique de la Pendjari et Parc national de la Pendjari) de la RBP ont été inventoriés. Les données telles que le diamètre à hauteur de poitrine, la hauteur totale, le nombre d’individus, l’aspect de l’écorce et la couleur des fleurs ont été collectées. Les caractéristiques structurales de B. costatum ont été évaluées à trois niveaux : les paramètres dendrométriques dont la densité, le diamètre moyen, la surface terrière et la hauteur moyenne ; les structures en diamètre ; la distribution de fréquence des différents types morphologiques obtenus (aspect de l’écorce, couleur de la fleur). Pour tester les différences entre les modes d’affectation des terres, une ANOVA, une analyse log-linéaire et une analyse de covariance ont été effectuées respectivement sur les paramètres dendrométriques et les types morphologiques suivant les modes d’affectation des terres. Le mode d’affectation des terres a un effet significatif (P < 0,05) sur la densité des individus adultes, le diamètre moyen, la hauteur moyenne, les types morphologiques et la phénologie de B. costatum. La densité des individus adultes est plus élevée dans les zones d’occupation contrôlée et la chaîne de l’Atacora. Il ressort des résultats que l’espèce a encore un potentiel semencier qui assure sa pérennisation mais qu’une utilisation contrôlée est nécessaire pour sa conservation durable.
Étude des propriétés technologiques d’un composite bois-plastique élaboré au Bénin
Authors: AMADJI Togbé Armel , ADJOVI Edmond Codjo , GÉRARD Jean , BARÉS Jonathan , HUON Vincent 
Published: July 2021

Au Bénin, les déchets issus de la transformation du bois sont très insuffisamment valorisés dans une perspective de réutilisation par l’industrie du bois. Les technologies de transformation de ces produits connexes, économiquement accessibles aux populations des pays en développement, constituent un domaine très peu abordé dans la littérature internationale. Dans le présent travail, un matériau constitué d’un mélange de sciure de bois de teck et de pâte de polystyrène recyclés, suivant une technologie simple à mettre en œuvre et de type low-tech, a été caractérisé. Les résultats obtenus ont montré que les propriétés du composite varient significativement avec la granulométrie de la sciure utilisée. La masse volumique apparente du matériau est comprise entre 686 à 826 kg/m3, son taux d’absorption d’eau est inférieur à 15 % et son taux de gonflement en épaisseur est inférieur à 5 % après 24 heures d’immersion. Une corrélation élevée a été observée entre ses propriétés physiques et sa porosité qui varie de 34 et 43 % suivant la granulométrie des sciures de bois utilisées. Le composite présente un module d’élasticité en traction compris entre 582 à 1 057 MPa, une résistance en traction comprise entre 2 et 3 MPa et un coefficient de Poisson variant de 0,14 à 0,24. En compression, son module d’élasticité varie entre 270 à 470 MPa et sa résistance entre 6 à 9 MPa. Une mise en œuvre du composite ainsi élaboré peut être envisagée en substitution du bois pour des éléments faiblement chargés comme des pièces de coffrage de construction légère.
Relationship of Hypertension Control Factors with Blood Pressure in Hypertension Patients at Pandanwangi Primary Health Care Malang
Authors: Wardani Devi Rahmaningrum , Wahyuni Erna Dwi , Ni'mah Lailatun 
Published: July 2021

Introduction: Hypertension is a common cause of the increase of mortality rate and morbidiety in the community. Complications of hypertension cause approximately 9.4 deaths around the world each year. The purpose of this study is to analyze the relationship of factors controlling hypertension with blood pressure.Methods: This study used a descriptive correlational design with the cross sectional approach. The study population was patients with hypertension in Puskesmas Pandanwangi Malang City. The sample used as many as 96 people based on purposive sampling technique. The instruments used were questionnaire sheets, spyghmomanometer and stethoscope. Analysis using the test Spearman rho test with a significance level of p <0.005.Result: The results showed there are a relationship between knowledge (p = 0.000 and r = 0.778), attitude (p = 0.000 and r = 0.626), diet (p = 0.000 and r = 0.609), physical activity (p = 0.000 and r = 0.449), family support (p = 0.000 and r = 0.607), and medication adherence (p = 0.000 and r = 0.726) with blood pressure .Conclusion: There is a significant relationship and the direction between the knowledge, attitude, diet, physical activity, family support, and medication adherence with blood pressure.
Coupling vibration analysis of turbine shared support rotor-bearing system with squeeze film dampers
Authors: Han Jiaqi , Luo Guihuo , Wang Fei , Chen Wei , Liu Lulu , Zhao Zhenhua , Luo Gang 
Published: July 2021

Abstract
The turbine shared support structure is used widely in aeroengines, but theoretical and experimental research on a rotor-bearing system containing a shared turbine support structure is lacking. This paper reports research into the coupling vibration response of a squeeze-film-damper rotor-bearing system that has two spools with different rotation speeds and is supported by a turbine shared support structure. The problem is addressed by means of rotor-bearing system tests and the finite-element method. Based on the features of a turboshaft engine with a turbine shared support structure, a rotor-bearing test system with a shared support structure is designed, and a dynamic model of the test system is built based on Timoshenko beam elements. The experimental and simulation results indicate that the unbalanced response of the rotor-bearing system with a shared support structure may involve either the sum or difference of the fundamental frequencies of the rotors of the gas generator and power turbine. The simulations show that the imbalance of the power turbine rotor, the radial and bending stiffnesses of the shared support structure, and the radial clearances of squeeze film dampers at the rear of the rotor-bearing system all affect the coupling response. The amplitude of the coupling response can be suppressed effectively by (i) selecting reasonable parameter values for the turbine shared support structure and (ii) exerting strict control over the spool imbalance.
Microplastic pollution characteristic in surface water and freshwater fish of Gehu Lake, China
Authors: Xu Xia , Zhang Ling , Xue Yingang , Gao Yu , Wang Liping , Peng Mingguo , Jiang Shanqing , Zhang Qiuya 
Published: July 2021

Abstract
Much more attention has been poured into microplastic pollution in freshwater systems recently. In the present study, the pollution of microplastics (MPs) in surface water and freshwater fish (crucian carp, etc.) were investigated from Gehu Lake, which is the second largest lake in southern Jiangsu after Taihu Lake. The result manifested that the average abundance of MPs was respectively 6.33 ± 2.67 n/L for surface water and 10.7 items per individual for freshwater fish. The distribution of MPs in Gehu Lake varied from place to place, with the highest abundance of MPs was observed in the two estuaries of the eastern part of the lake. It was speculated that topographical factors and human factors were the main factors affecting the abundance and distribution of MPs. Transparent fibers were the main type of MPs in water samples, accounting for 69.70% of all detected particles. Meanwhile, most of the MPs ingested by freshwater fish were fibers, and the main colors were transparent and blue. In addition, the dominant size of the MPs was between 0.1 mm to 0.5 mm in water and fish samples. Moreover, PES, Man-made fiber, and PP were the dominant polymer types in the surface water and fish samples. The results of this investigation can provide basic data for the research and management of MPs in freshwater systems.
Monthly Streamflow Forecasting Using Convolutional Neural Network
Authors: Shu Xingsheng , Ding Wei , Peng Yong , Wang Ziru , Wu Jian , Li Min 
Published: July 2021

Abstract
Monthly streamflow forecasting is vital for the management of water resources. Recently, numerous studies have explored and evidenced the potential of artificial intelligence (AI) models in hydrological forecasting. In the current study, the feasibility of a relatively new AI model, namely the convolutional neural network (CNN), is explored for forecasting monthly streamflow. The CNN is a method of deep learning, the unique convolution-pooling mechanism in which creates its superior attribute of automatically extracting critical features from input layers. Hydrological and large-scale atmospheric circulation variables including rainfall, streamflow, and atmospheric circulation factors (ACFs) are used to establish models and forecast streamflow for Huanren Reservoir and Xiangjiaba Hydropower Station, China. The ANN and ELM with inputs identified based on cross-correlation analysis (CC) and mutual information analysis (MI) are established for comparative analysis. The performances of these models are assessed with several statistical metrics and graphical evaluation methods. The results show that CNN performs better than ANN and ELM across all the statistical measures. Moreover, CNN shows better stability in forecasting accuracy.
Traditional Growing Rod for Early-Onset Scoliosis in High Altitude Regions: A Retrospective Study
Authors: Jiang Haijun , Hai Junrui Jonathan , Yin Peng , Su Qingjun , Zhu Shiqi , Pan Aixing , Wang Yunsheng , Hai Yong 
Published: July 2021

Abstract
Background：Children with early-onset scoliosis living in high-altitude areas have severe deformities and poor nutritional status.However, no reports on early-onset scoliosis treatment using traditional growing rods in such children exist. Thus, we analyzed the outcomes of traditional growing rods treatment in such patients and the effect of altitude on therapy.Methods：Between September 2007 and December 2017, 59 consecutive patients with EOS underwent systematic surgical correction using traditional growing rods.They were divided into the high-altitude and low-altitude groups, and differences in surgical efficacy and complications between the groups were analyzed pre- and postoperatively.Radiographic measurements,including the Cobb angle,thoracic kyphosis, lumbar lordosis, T1–S1and T1–T12 heights,sagittal and coronal balance, distance between C7PL and sagittal vertical axis,pelvic incidence,sacral slope, and pelvic tilt were assessed preoperatively, postoperatively, and at the last follow-up. Continuous data were analyzed using paired or independent Student’s t-tests, and they were compared preoperatively, postoperatively, and at the last follow-up using a repeated measures analysis of variance. Enumerated data were analyzed using the χ2 test.Results：The mean patient ageat the initial surgery and mean follow-up duration were 8.9±2.4(5–14) years and 51.91±25.23 months, respectively.Altogether, 234 operations were conducted for all patients with an average interval between operations of 11.4±3.0months.The average Cobb angle was similar in both groups preoperatively and at the last follow-up,it was significantly different postoperatively. TK was significantly different in all three periods.T1–S1 and T1–T12 heights were significantly different only during the preoperative period. The overall rates of complications and implant-related complications did not differ significantly between the groups.Conclutions：Deformity in patients with EOS in high-altitude areas was more severe, and treatment using TGRs yielded a satisfactory therapeutic effect.
Environmental, Ecological and Human Health Risk Assessment of Heavy Metals in Sediments at Samsun-Tekkeköy, North of Turkey
Authors: ŞIMŞEK Arife , Özkoç Hülya Böke , Bakan Gülfem 
Published: July 2021

Abstract
A detailed study was conducted in order to evaluate the effects of heavy metal pollution in the sediments in terms of environmental, ecological and human health. Sediment samples were collected from 5 different points in two seasons, namely summer (August 2017) and winter (December 2017), to determine the distribution of heavy metals, potential pollutants, toxic and ecological risks in the river sediments in Samsun - Tekkeköy district located in the Mid-Black Sea Region of Turkey and to evaluate the human health risk. The distribution of heavy metals at the sampling points was Fe > Al > Mn > Zn > Cu > Cr > Ni > Pb > Cd based on their averages. According to the toxic risk index (TRI) results, sampling point OIZ (Organized Industrial Zone) Channel (T3) was also found to have a moderate risk, and it was determined that the highest contribution was from Cu > Ni > Cd > Cr, respectively. Potential ecological risk (PERI) results revealed a low risk except for Cd metal at all sampling points. While the sediment enrichment factor (EF) did not show much metallization at many points, the highest enrichment was observed in Cd, Cu, and Zn metals and at sampling point T3. According to the geoaccumulation index (Igeo) and contamination factor (CF), sampling point T3 showed contamination with Cd, Cu, Cr, and Zn. Evaluation of human health risk showed that the hazard index (HI) results of carcinogenic and non-carcinogenic risks were higher among children than adults. The total lifetime cancer risks (TLCR) of heavy metals were within the limits determined by USEPA. However, the risk was ranked as Cr > Cd > Pb. Sediment Quality Guidelines (SQG) and pollution index results showed that heavy metal contamination was due to anthropogenic and industrial activities since the region was an industrial zone. It was determined that heavy metals posed ecological risks and that Samsun-Tekkeköy region was moderately and significantly contaminated.
Effects of Acupuncture Treatment on Postoperative Gastrointestinal Dysfunction in Colorectal Cancer: Study Protocol for Randomized Controlled Trials
Authors: Liu Xueyan , Wang Zhijie , Yao Hao , Yang Yanrong , Cao Huijuan , TOH Zhanhao , Ren Yi , Zheng Ruwen 
Published: July 2021

Abstract
Background: Postoperative Gastrointestinal Dysfunction (PGID) is a common complication arising from colorectal cancer surgery. Attributing factors such as anesthesia, surgical retraction, early intake of water, etc. can inhibit gastrointestinal motility, causing constipation, reduction or absence of bowels sounds, nausea, vomiting and other symptoms. Delayed recovery in gastrointestinal function can lead to intestinal obstructions or paralysis, anastomotic leaks and other complications, affecting the patient’s recovery and quality of life negatively. Due to its complex pathophysiology, treatment for PGID in colorectal patients has remained a challenge. Acupuncture is an alternative therapy commonly used for post-operative recovery. This study aims to evaluate the therapeutic efficacy and safety of Acupuncture on PGID. Through the complementation of Acupuncture and Enhanced Recovery After Surgery (ERAS) protocols, the advantages of acupuncture treatments could be demonstrated to promote its application in future clinical practice.Methods/design: The study design is a prospective randomized controlled trial (RCT). 160 postoperative colorectal cancer patients will be recruited from Cancer Hospital Chinese Academy of Medical Sciences (CICAMS). Subjects who fulfill inclusion criteria will be randomly assigned into Acupuncture group (AG)(n=80) or control group (CG)(n=80). AG will receive Acupuncture treatment and ERAS care protocols, CG will only receive ERAS care protocols. Intervention will begin on the first day post-surgery, continuing for 4 days, with a follow-up assessment in a month. Time of first postoperative flatus would be the primary outcome measure. Secondary outcome measures include time of first postoperative defecation, time of first fluid intake, time of first ambulation, postoperative hospital stay, gastrointestinal reaction score, postoperative quality of life, acupuncture sensation evaluation scale. All results are evaluated from baseline, post-treatment and upon follow-up. Discussion: The results of the study would help elucidate evidence of the therapeutic effects of acupuncture on recovery of postoperative gastrointestinal function. The objective of the study aims for the eventual inclusion of acupuncture in the ERAS protocol, allowing for wider application in clinical practice.Trial Registration: Clinicaltrials.gov: ChiCTR2000036351. Register August 22,2020.
Computation Offloading Technique for Energy Efficiency of Smart Devices
Authors: Ko Jaejun , Choi Young-June , Paul Rajib 
Published: July 2021

Abstract
The substantial number of wearable devices in the healthcare industry and the continuous growth of the market procreates the demand for computational offloading. Despite major development of wearable devices and offloading techniques, there are several concerns such as latency, battery power, and computation capability that requires significant development. In this paper, we focus on the fact that most smart wearable devices have Bluetooth pairing with smartphones, and Bluetooth communication is significantly energy-efficient compare to 3G/LTE or Wi-Fi. We propose a computation offloading technique that offloads from the smartphone to the cloud server considering the decision model of both wearable devices and smartphones. Mobile cloud computing can elevate the capacity of smartphones considering the battery state and efficient communications with the cloud. In our model, we increase the energy efficiency of smart devices. To accomplish this, a Dhrystone Millions of Instructions per Second (DMIPS)-based workload measurement model along with a computation offloading decision model were created. According to the performance evaluation, offloading from wearable devices to smartphones and offloading once to cloud server can reduce energy consumption significantly
RNA Sequencing of LX-2 Cells Treated with TGF-β1 Identifies Genes Associated with Early Hepatic Stellate Cell Activation.
Authors: Carson Jack , Robinson Mark , Ramm Grant , Gobert Geoffrey 
Published: July 2021

Abstract
BackgroundHepatic stellate cells (HSCs) are liver-resident myofibroblast precursors responsible for the production of collagen and maintenance of the hepatic extracellular matrix (ECM). As such, they are generally associated with fibrotic liver diseases. HSCs become "activated" in response to tissue damage or pathogen invasion, a process most commonly driven by transforming growth factor-β1 (TGF-β1). Despite this, the full extent of TGF-β1 signalling in these cells is poorly understood. Clarifying the range and diversity of this signalling will further improve our understanding of the process of HSC activation.Methods and ResultsRNA sequencing was used to quantitate the transcriptomic changes induced in LX-2 cells, an activated human HSC line, following TGF-b1 treatment. In total, 5,258 genes were found to be significantly differentially expressed with a false discovery rate cut-off of < 0.1. The topmost deregulated of these genes included those with no currently characterised role in either HSC activation or fibrotic processes, including CIITA and SERPINB2. In silico analysis revealed the prominent signalling pathways downstream of TGF-β1 in LX-2 cells.ConclusionsIn this study, we describe the genes and signalling pathways significantly deregulated in LX-2 cells following TGF-β1 treatment. We identified several highly deregulated genes with no currently characterised role in HSC activation, which may represent novel mediators of fibrotic responses in HSCs or the liver macroenvironment. This work may be of use in the identification of new markers of liver fibrosis and could provide insight into prospective genes or pathways that might be targeted for the amelioration of fibrotic liver disease in the future.
Target Tracking Using Radial Distance and Lucas Cluster-Based Ridge Regression in Wireless Sensor Network
Authors: S Sheeja Rani , K Siva Sankar 
Published: July 2021

Abstract
Target tracking is one of the most significant concerns in Wireless Sensor Networks (WSNs). In a densely deployed WSN, spatial trajectories in future mission monitoring can provide comprehensive communication but with dynamically changing network, targets were lost, compromising stability. Some approaches pursue minimum overload and energy consumption occurring during tracking at the cost of tracking accuracy, while some other mechanisms aim to achieve the best tracking accuracy without consideration of energy consumption. In this paper, we present a new method called, Radial Distance and Lucas Cluster-based Ridge Regression (RD-LCRR) to detect and track the target in WSN considering both energy efficiency and accuracy. Initially, we sense the object via Radial Distance Edge Propagation Object Sensing model based on the cluster formation and then identify moving objects through additive value. Next, the object to be tracked is obtained by applying Lucas Kanade Cluster-based Ridge Regression model. Here, target detection is first initialized via Lucas Kanade and finally, the tracking of the actual target is performed through Ridge Regression. The performance of the RD-LCRR method is considered for different scenarios and experiments are performed in a simulation environment against state-of-the-art methods. Results of the experiments show that the presented target detection and tracking method enables a significant reduction in the amount of energy consumption, target tracking time with higher accuracy rate.
Brain Tumor Segmentation and Prediction using Fuzzy Neighborhood Learning Approach for 3D MRI Images
Authors: R Pitchai , P Supraja , A Razia Sulthana , T Veeramakali 
Published: July 2021

Abstract
Segmentation of brain tumors is a daunting process comprising the delineation of heterogeneous cancerous tissues and diffuse types in anatomical representations of the brain. Deep learning techniques have recently made important strides in the segmentation of brain tumors. However, owing to the irregularity of the tumor, most of the deep learning-based segmentation techniques are not used directly for tumor detection. Although recent studies are capable of addressing the irregularity issue and retaining permutation invariance, many approaches struggle to catch the valuable high-dimensional local features of finer resolution. Inspired by the fuzzy learning methods and an analysis of the shortcomings of existing methods, an automated fuzzy neighborhood learning-based 3D segmentation technique has been proposed for the detection of cerebrum tumors in 3D images. In this technique, the fuzzy neighborhood function is deeply integrated with the proposed network architecture. This technique has been evaluated on BRATS 2013dataset. The simulation results show that the proposed brain tumor detection technique is superior to other methods in the diagnosis of brain tumors with the dice coefficient of 0.85 and the Jaccard index of 0.74.