bluuebunny/crossref_metadata_2025_split huggingface dataset:
Penetrating Popliteal Vascular Injury: Surgical Management and Early Outcome During Current War in Taiz –Yemen
Authors: ganadi Abudar Abdo AL , Al-Ossabi Naseem Saeed , Alshameri Ismail Samer , Al-Mekhlafi Mamon K , Hizam Maha A , Shamsan Abdulkafi M 
Published: February 2021

Abstract
Background: Popliteal vascular injury remains a challenging entity, and carries the greatest risk of limb loss among lower extremity vascular injuries. We aim to review our experience with complex penetrating popliteal vascular injuries, thereby focusing on therapeutic challenges, and early outcomes.Methods: From September 2015 to December 2019, we managed total of 728 penetrating vascular injuries with 163 popliteal vascular injuries presented to Authority of Althawra hospital in Taiz. Of 125 patients, 103 patients were fulfilling the inclusion criteria. Variables were retrospectively collected included patient demographics, mechanism and type of injuries, limb ischemia time, type of vascular reconstruction, associated complications, limb salvage, and mortality.Results: 157 vascular reconstructions were performed for 103 patients with penetrating popliteal vascular injuries, the majority 94 (91.3%) were male. Mean age was 27.3 ± 12.3 years. Popliteal vascular injuries were the second most common accounting for 35% of lower extremity vascular injuries and 22.4% of the total vascular injuries. Nearly half 54 (52.4%) of patients sustained complex popliteal vascular injuries (arterial and venous injuries), 31 (30.1%) isolated arterial injuries, and 18 (17.5%) isolated venous injuries. Management of vascular injury was repaired by interposition graft in 68 (66%), end-to-end anastomosis in 16 (15.5%), and venous patch in 1(1%). Venous injury was repaired in 53 (51.4%) and ligated in 18 (17.5%). Less than 6 hours from injury to completed revascularization was achieved in 58 (56.3%) patients. The overall fasciotomy was 28 (27.2%) which significantly increased length of hospital stays (17 days vs 7 days, P= 0.0003). The overall limb-salvage rate in our study was 94.2%. During the study period, the most common complication was 14 (13.6%) wound infection, 14 (13.6%) graft thrombosis, 6 (5.8%) bleeding, 4 (3.9%) graft infection. Early limb loss occurred in 6 (5.8%) and the mortality rate was (1.9%).Conclusions: Wartime penetrating popliteal vascular injury is a real challenge. However, team approach and promptly vascular repair found to associate with a remarkable limb salvage rate of 94.2%. We advocate repair of arterial injury with vein graft as the treatment of choice whenever possible.
Investigation an environmentally friendly method under magnetic field as a green solvent for the synthesis of brookite phase nanoparticles at room temperature
Authors: Absalan Yahya , Gholizadeh Mostafa , Kopylov Vladimir Viktorovich , Butsov Leonid Alekseevich , Kovalchukova Olga 
Published: February 2021

Abstract
TiO2 nanoparticles in the brookite phase were synthesized within an environmentally friendly method by magnetized water obtained by the US-patent magnetizing device (US10507450B2), which changes the properties of all types of the solvents with no limitation (protic or aprotic). Furthermore, this study is the first report on the synthesis of brookite TiO2 nanoparticle through magnetized water at room temperature. The procedure was tested by five different water; ordinary, 15, 30, 45, and 60min-magnetized water. The products were analyzed by various techniques including XRD, FESEM, ICP, BJH-plot, t-plot, Langmuir plot, BET, TEM, and FTIR. The result showed that the products obtained from 30 min-magnetized water were the most properly indexed TiO2 brookite phase with high surface activity. This sample could be a suitable green photocatalyst.
An Integrated DEMATEL-MMDE-ISM&nbsp;Approach for Analyzing Environmental Sustainability Indicators in MSMEs
Authors: Gani Abdul , Bhanot Neeraj , Talib Faisal , Asjad Mohammad 
Published: February 2021

Abstract
The Micro, Small and Medium Enterprises engaged in manufacturing activities are facing various environmental challenges encompassing material and energy consumption; waste generation and disposal; water and air pollution; etc. Hence, it becomes important to adopt policies, strategies, and technologies, which may help to bring down the adverse impacts of manufacturing on the environment. In this context, the current study identified the 15 critical environmental sustainability indicators to gauge the impact of their manufacturing activities on the environment taking a case of lock manufacturing industries. To understand the interdependence among the selected indicators, the study further utilizes an integrated DEMATEL-MMDE-ISM approach to analyse the inputs of industry professionals. The results of the study highlighted that design of products, which can be disassembled, reused, or recycled and are free from hazardous materials play a significant role in enhancing the environmental sustainability of the concerned industry. The study is expected to aid decision-makers (industry practitioners and academic researchers) to identify strategic areas in order to achieve higher environmental sustainability in manufacturing organizations.
A Fractional Order Generalized SEIR Model: The Role of “COVID-19 Symptom Data” in Receding Horizon Vaccine Policies
Authors: Zhao Yanting , Guo Lihong , Wang Yong , Chen YangQuan 
Published: February 2021

Abstract
Novel Coronavirus (COVID-19) has spread worldwide, causing continued casualties and economic losses. To characterize the pandemic dynamics, we propose fractional order generalized SEIR epidemic models for COVID-19, considering real-world Facebook symptom data and state-level Google mobility. Fractional order models based on noninteger order calculus can better characterize inhomogeneity in human interactions and infection rates. Our models can describe psychological effect factors within the nonlinear incidence functions. Therefore, we can deliver better fitting and prediction performances. Comparative analysis of model predictions with different mitigation and intervention scenarios, which are affected by mobilities in California, are made. Now, vaccination is becoming a critical response so that the COVID-19 pandemic can become endemic in optimal possible ways.We propose the modified fractional order GSEIR model for near real-time COVID- 19 Receding Horizon vaccine policy study. The proposed Receding Horizon Control (RHC) optimal vaccine strategy can not only explicitly consider the constraints on vaccine availability, speed of replenishing, vaccine application rate, etc., but also can make the whole management in a closedloop manner with an optimization performance index. Additionally, our model can accommodate the age structure of the population, mobility level, community mitigation measures, the willingness to be vaccinated, etc. The closedloop vaccine system can achieve good tracking performance given a future desired and feasible trend. Specifically, our forecast trends of infections and death cases in different immunization scenarios can guide individual and policy decision-making processes in developing mitigation measures and monitoring community risk levels. Numerical simulations using Simulink Design Optimization (SLDO) are given to support our analysis.
Second-wave Dynamics of COVID-19: Impact of Behavioral Changes, Immunity Loss, New Strains, and Vaccination
Authors: Visscher Alex De , Sutton Brian , Sutton Tom 
Published: February 2021

Abstract
An epidemiological model for COVID-19 developed earlier was extended to determine the effects of behavioral changes, immunity loss, and vaccination on second and subsequent wave dynamics of the pandemic. A model variant that distinguishes four demographic groups with different infection rates and mortality rates was developed to test the hypothesis that behavioral divergence between groups can explain both the larger incidence and lower mortality rate of COVID-19’s second wave. A model version that incorporates immunity loss was developed to test the hypothesis that immunity loss can explain the second wave. Simulations indicate that of the two hypotheses, only the former is consistent with observed trends. Nevertheless, loss of immunity can significantly increase total number of deaths in the long run, particularly in cases where vaccine distribution is barely sufficient to reach herd immunity. The observed trends are illustrated with detailed simulations of the progression of COVID-19 in the United Kingdom, including the appearance of new strains. The U.K. case study indicates the extent to which NPI can be relaxed during the distribution of the vaccine.
Synthesis of activated carbon from black liquor for the application of supercapacitor
Authors: Palanisamy Shanmugam , Kandasamy Senthil Kumar , Thangmuthu Sathesh , Kumar Dhinesh Kumar , Panchanathan Marimuthu , Ramanai Prasanna Venkatesh , Gevert Borje Sten 
Published: February 2021

Abstract
In this present study, the black liquor carbonization has been investigated by hydrothermal process. The activated carbon from the carbonization of black liquor (AC-BL) and biomass based activated carbon from citrus sinensis flavedos (AC-OP) has been investigated for the suitability in supercapacitor application. The study have analysed in electrochemical measurement of both AC-BL and AC-OP in electrochemical station. The role of stable hydroxyl molecules on the surface of carbon material has been observed and its effective conductivity is studied. The superior performance of AC-OP derived nano porous carbon has fast ionic and electronic diffusion of the electrolyte in and out of the pores during charging and discharging due to high surface area. AC-BL exhibited with an EDLC mechanism, but AC-OP shows the pseudo capacitance property. The porous structure and oxygen doping characteristics in AC-BL can influence the potential electrode material for applications in the field of supercapacitors. With the help of this movement, electronic conductivity of the AC-BL has been increased. In general, electrochemical stability of the EDLC is far better than pseudo capacitor. From the EIS analysis, ESR value is very small for AC-BL (60 Ω), when compared to AC-OP (155 Ω). To conclude that the EIS results of low conductivity by AC-BL has potential to be future supercapacitor with enhanced treatment in carbonization techniques.
Development of Proton Conductive Polymer Electrolytes Composed of Sulfonated Poly(Ether Ether Ketone) and Brønsted Acidic Ionic Liquid (1-Methylimidazolium Tetrafluoroborate)
Authors: YILMAZOĞLU MESUT 
Published: February 2021

Abstract
This article relates to the synthesis, characterization and dielectric measurements of solid polymer electrolytes, derived from the ionic interaction of sulfonated poly(ether ether ketone) (sPEEK) and a Brønsted acidic ionic liquid (1-methylimidazolium tetrafluoroborate, [Hmim][BF4]), for electrochemical applications. The efficiency of the interaction was examined by incorporating different amounts of ionic liquid (IL) with the sulfonated polymer matrices having three different degrees of sulfonation (DS). The composite electrolytes were systematically characterized with FT-IR, SEM, TGA and DMA analysis. Anhydrous proton conductivity and dielectric measurements were studied in detail as a function of temperature. The presented analyzes revealed that sPEEK1.0-2 sample (2.50–3.51×10− 1 Sm-1 at 380–450 K) exhibited maximum proton conductivity and thermomechanical stability under anhydrous environment. Furthermore, sPEEK1.0-2 composite membrane exhibited higher glass transition temperature and reasonable storage modulus value (Tg = 157 ℃; E' = 0.22 GPa) compared to IL doped sPEEK membranes presented in the literature. The work herein opens new prospects for the as-synthesized materials to use as a solid polymer electrolyte for electrochemical applications such as high temperature proton exchange membrane fuel cells (HT-PEMFC) in a wide temperature range.
Anomaly Detection in Multi Tiered Cellular Networks Using LSTM and 1D-CNN
Authors: Oğuz Hasan Tahsin , Kalaycıoğlu Aykut 
Published: February 2021

Abstract
Self Organizing Networks (SONs) are considered as one of the key features for automation of network management in new generation of mobile communications. The upcoming fifth generation (5G) mobile networks are likely to offer new advancements for SON solutions. In SON concept, self-healing is a prominent task which comes along with cell outage detection and cell outage compensation. 5G networks are supposed to have ultra-dense deployments which makes cell outage detection critical and harder for network maintenance. Therefore, by imitating the ultra-dense multi-tiered scenarios regarding 5G networks, this study investigates femtocell outage detection with the help of Long Short- Term Memory (LSTM) and one-dimensional Convolutional Neural Networks (1D-CNN) by means of time sequences of Key Performance Indicator (KPI) parameters generated in user equipments. In proposed scheme, probable anomalies in femto access points (FAP) are detected and classified within a predetermined time sequence intervals. On the average, in more than 80% of the cases the outage states of the femtocells are correctly predicted among healthyand anomalous states.
Radiogenomics in Hepatocellular Carcinoma: Machine Learning Based CT Texture Analysis in Predicting β-Catenin Mutation Status
Authors: ZiYi Guo , LiPeng Jiang , ZhiTu Zhu 
Published: February 2021

Abstract
OBJECTIVE. The purpose of this study is to evaluate the potential value of CT radiomics in predicting the mutation status of β-catenin in patients with hepatic cell cancer (HCC).MATERIALS AND METHODS.In this retrospective study, 43 patients with hepatic cell HCC (18 without β-catenin mutation and 15 with β-catenin mutation) were identified in The Cancer Genome Atlas–hepatic liver Cell Carcinoma database (TCGA-LIHC). To create stable models, the data were augmented to a total of 202 labeled samples (131 without β-catenin mutation and 73 with β-catenin mutation) by obtaining up to five different samples per patient. Extraction of large amounts of image features from portal phase contrast-enhanced CT images had been performed on an open-source software package (Pyradiomics, version 2.1.2.). Reproducibility analysis (intraclass correlation, run ICCs in SPSS 18.0) was performed by two radiologists. Classification problem is about β-catenin gene mutation status. Machine Learning based classifications were performed using the Pycaret (version 2.1.2) software. The main performance metric was the AUC value.RESULTS. Of 828 extracted texture features, 759 had excellent reproducibility. Using 10 selected features, the Extra Trees Classifier algorithm correctly classified 93.4% of the HCCs in terms of β-catenin mutation status (AUC value, 0.9741); the CatBoost Classifier algorithm correctly classified 91.9% of the HCCs (AUC value, 0.9692); Gradient Boosting Classifier algorithm correctly classified 91.1% ( AUC value, 0.9722). All the three advanced algorithms performed above 90% accuracy.CONCLUSION. Machine Learning-based high-dimensional quantitative CT radiomics analysis might be a feasible and potential method for predicting β-catenin mutation status in patients with HCC.
The Connection Between Childhood Maltreatment and Eating Disorder Psychopathology: A Network Analysis Study in People With Bulimia Nervosa and With Binge Eating Disorder
Authors: Monteleone Alessio Maria , Tzischinsky Orna , Cascino Giammarco , Alon Sigal , Pellegrino Francesca , Ruzzi Valeria , Latzer Yael 
Published: February 2021

Abstract
Purpose. Childhood maltreatment (CM) experiences are associated with heightened risk of Eating Disorders (EDs). The psychopathological pathways promoting this association in people with Bulimia Nervosa (BN) and in those with Binge Eating Disorder (BED) are under-investigated. Methods. One-hundred-eighty-one people with BN and 144 with BED filled in the Eating Disorder Inventory-2, to measure ED psychopathology, and the Childhood Trauma Questionnaire, to assess their early traumatic experiences. Network analysis was conducted in order to investigate the interplay between those variables. The shortest pathways function was employed to investigate the shortest out of all routes conveying the association between CM and ED core symptoms. Results. In both people with BN and with BED, all CM types were connected to the ED psychopathology through the emotional abuse node. The association between emotional abuse and ED core symptoms (bulimia and body dissatisfaction) differed in the two groups: in people with BN, it included ineffectiveness, while in people with BED it involved impulsivity. Interoceptive awareness, an indirect measure of emotion regulation, was included in these pathways in both groups.Conclusion. In the light of literature showing that emotional abuse has a connecting role between CM and ED psychopathology also in anorexia nervosa, the present findings support the idea that emotional abuse conveys such association in all the main ED diagnoses. Ineffectiveness and impulsivity may represent the specific psychopathological dimensions connected to emotional abuse and promoting the maintenance of ED core symptoms in BN and in BED, respectively. These findings are worth of attention by clinicians.Level of evidence: Level III: Evidence obtained from well-designed cohort or case-control analytic studies
Factors Affecting Farmers’ Use of Inorganic Fertilizers and Manure in South Asia
Authors: Aryal Jeetendra Prakash , Sapkota Tek Bahadur , Krupnik Timothy J. , Rahut Dil Bahadur , Jat Mangi Lal , Stirling Clare M 
Published: February 2021

Abstract
Fertilizer, though one of the most essential inputs for increasing agricultural production, is a leading cause of nitrous oxide emissions from agriculture, contributing significantly to global warming. Therefore, understanding factors affecting farmers’ use of fertilizers is crucial to develop strategies to improve its efficient use and to minimize its negative impacts. Using data from 2,558 households across the Indo-Gangetic Plains in India, Nepal, and Bangladesh, this study examines the factors affecting farmers’ use of organic and inorganic fertilizers for the two most important cereal crops – rice and wheat. Together, these crops provide the bulk of calories consumed in the region. As nitrogen (N) fertilizer is the major source of global warming and other environmental effects, we also examine the factors contributing to its overuse. We applied multiple regression models to understand the factors influencing the use of inorganic fertilizer, Heckman models to understand the likelihood and intensity of manure use, and a probit model to examine the over-use of N fertilizer. Our results indicate that various socio-economic and geographical factors influence the use of inorganic fertilizer in rice and wheat. Across the study sites, N fertilizer over-use is the highest in Haryana (India) and the lowest in Nepal. Across all locations farmers reported a decline in manure application, concomitant with a lack of awareness of the principles of appropriate fertilizer management that can limit environmental externalities. Educational programs highlighting measures to improving nutrient-use-efficiency and reducing the negative externalities of N fertilizer over-use are proposed to address these problems.
Halomonas Maris Sp. Nov., a Moderately Halophilic Bacterium Isolated From Marine Sediment in the Southwest Indian Ocean
Authors: Qiu Xu , Cao Xiaorong , Xu Guangxin , Wu Huangming , Tang Xixiang 
Published: February 2021

Abstract
A halophilic, Gram-staining-negative, rod-shaped, flagellated and motile bacterium, strain QX-1T, was isolated from deep-sea sediment at a depth of 3332 m in the southwestern Indian Ocean. Strain QX-1T growth was observed at 4–50 °C (optimum 37 °C), pH 5.0–11.0 (optimum pH 7.0), 3%–25% NaCl (w/v; optimum 7%), and it did not grow without NaCl. A phylogenetic analysis based on the 16S rRNA gene placed strain QX-1T in the genus Halomonas and most closely related to Halomonas sulfidaeris (97.90%), Halomonas zhaodongensis (97.80%), Halomonas songnenensis (97.59%), Halomonas hydrothermalis (97.37%), Halomonas subterranea (97.25%), Halomonas salicampi (97.09%), and Halomonas arcis (97.01%). DNA–DNA hybridization (< 26.50%) and average nucleotide identity values (< 83.54%) between strain QX-1T and the related type strains meet the accepted criteria for a new species. The principal fatty acids (> 10%) of strain QX-1T are C16:0 (25.50%), C17:0 cyclo (14.02%), C19:0 cyclo ω8c (18.72%), and summed feature 8 (C18:1 ω7c and/or C18:1 ω6c, 18.08%). The polar lipids of strain QX-1T are mainly diphosphatidylglycerol, phosphatidylglycerol, phosphatidylethanolamine, unidentified phospholipid, unidentified aminophospholipid, and five unidentified lipids. The main respiratory quinone is Q-9. The G+C content of its chromosomal DNA is 54.4 mol%. Its fatty acid profile, respiratory quinones, and G+C content also support the placement of QX-1T in the genus Halomonas. These phylogenetic, phenotypic, and chemotaxonomic analyses indicate that QX-1T is a novel species, for which the name Halomonas maris is proposed. The type strain is QX-1T (=MCCC 1A17875T = KCTC 82198T = NBRC 114670T).
Synthesis of Nanocellulose Aerogels and Cu-BTC/Nanocellulose Aerogel Composites for Adsorption of Organic Dyes and Heavy Metal Ions
Authors: Shaheed Nuhaa , Javanshir Shahrzad , Dekamin Mohammad G. , Naimi-Jamal Mohammad Reza 
Published: February 2021

Abstract
MOFs compounds have great adsorption potential and catalysis applications. However, the powdery morphology limits its applications. To overcome this problem, they can be trapped in a flexible aerogel matrix to form hierarchical porous structures. In this work, Cu-BTC/CNC (crystalline nanocellulose) and Cu-BTC/NFC (nanofibrillated cellulose) aerogel composites were synthesized using a direct mixing method by the addition of Cu-BTC powder to the liquid precursor solution followed by gelation and freeze-drying. Also, pure CNC and NFC aerogels were synthesized using cellulose isolated from peanut shells. All structure and morphology were scrutinized by Scanning electron microscopy (SEM), Fourier transform infrared (FT-IR) spectroscopy, and X-ray diffraction (XRD). The adsorption ability of pure CNC and Cu-BTC/NFC for Congo Red (CR) and Mn7 + was studied and determined by the UV-Vis spectrophotometry and inductively-coupled plasma optical emission spectrometry (ICP-OES). The results revealed that Cu-BTC/NFC has excellent adsorption capacity for CR. The adsorption process is well described by the pseudo-second-order kinetic model and Langmuir isotherm, with a maximum adsorption capacity of 39 mg/g for CR. Both CNC and Cu-BTC/NFC act as a solid monolithic reducer and remove MnO4- from aqueous solution by reducing them to manganese dioxide, without releasing any side product.