bluuebunny/crossref_metadata_2025_split huggingface dataset:
Production Performance of GIFT Tilapia in Recirculating Aquaponics System with Red Amaranth
Authors: Rajasekar Veeramani , Tanveer Mohammad 
Published: September 2022

Abstract
The present study was conducted to evaluate the growth performance of GIFT tilapia (Oreochromis niloticus) fingerling and water quality in Media based aquaponics system (MBAS). The experiment consisted of treatment (MBAS) and control (non- MBAS) group in duplicate. The stocking density was 100 numbers per m3 (average body weight of 1.69 ± 0.08 g per fish) in each 0.5 m3 capacity of FRP tanks. Total Ammonia Nitrogen level in the MBAS treated group was lower (0.12 mg/L ± 0.01 to 0.32 mg/L ± 0.01) than non - MBAS due to the recirculation of water and effective breakdown of faecal matter by microbes. Average fish weight, average fish length, average daily weight gain, average daily length gain and specific growth rate were higher (14.51 g ± 0.11, 9.62 cm ± 0.05, 0.50 g ± 0.011, 0.13 cm ± 0.007and 3.96 g/day ± 0.091) in MBAS system than control. FCR was found to be higher in MBAS (2.31 ± 0.046), which fulfill the nutrient requirements for plants from the faecal breakdown. From the present study it is evident that MBAS can improve the quality of culture water and results in best growth of GIFT tilapia.
Resistome prevalence and diversity in Escherichia coli isolates of global wastewaters
Authors: Sudhakari Pavithra Anantharaman , Ramisetty Bhaskar Chandra Mohan 
Published: September 2022

Abstract
Antimicrobial resistance (AMR) is a global problem driven by unregulated antibiotic use leading to the emergence of resistant strains; the “antibiotic paradox” where the cure is the cause of deadlier infections. AMR is fueled by wastewater mismanagement and global mobility, leading to the dissemination of AMRs and multidrug-resistant (MDR) strains worldwide. We embarked on estimating the ‘invasion’ of antibiotic-resistant genes (ARGs) into the normal flora of humans. We screened 300 local wastewater E. coli and sequenced eight isolates to study the genome diversity and resistome, which were then compared with the 529 globally isolated wastewater E. coli (genomes from the PATRIC database). Local wastewaters had 26% resistant and 59% plasmid-bearing E. coli. Global wastewater resistome majorly comprised ARGs against beta-lactam, aminoglycosides, fluoroquinolone, sulfonamide, and trimethoprim. Resistance to colistin, a last-resort antibiotic, was prevalent in MDRs of European and South Asian isolates. Canada fared better in all the AMR parameters, likely due to effective AMR surveillance, antibiotic stewardship and wastewater disinfection, which could serve as a model for other regions. A systems approach is required to address the AMR crisis on a global scale, reduce antibiotic usage and increase the efficiency of wastewater management and disinfection.
Physics-informed loss function for a deep neural network for Poissonian noise reduction
Authors: Xypakis Emmanouil , De Turis Valeria , Gala Fabrizio , Ruocco Giancarlo , Leonetti Marco 
Published: September 2022

Abstract
We developed a physics-informed deep neural network architecture able to achieve signal to noise ratio improvements starting from low exposure noisy data. Our model is based on the nature of the photon detection process characterized by a Poisson probability distribution which we included in the training loss function. Our approach surpasses previous algorithms performance for microscopy data, moreover, the generality of the physical concepts employed here, makes it readily exportable to any imaging context
A recurring Mandibular Ghost Cell Odontogenic Carcinoma: A Case Report and Review of Literature
Authors: Alaroomy Leena ali 
Published: September 2022

Abstract
Background: Ghost cell odontogenic carcinoma (GCOC) is an extremely rare odontogenic carcinoma that is typically characterized by admixture of atypical epithelial cells and ghost cells. Up to date, GCOC remains rare with around 50 cases have been reported. Herein we report a recurrent case of GCOC.
Case presentation: A 41-year-old male was suffering from a recurrent fleshy intra-oral swelling in the right mandible associated with pain, paresthesia and facial asymmetry. By history taking, the patient reported that he was subjected to two surgeries to remove tumors that arose in the same place twice previously, knowing that he was diagnosed in the first as adenomatoid odontogenic tumor (AOT) and in the second as calcifying epithelial odontogenic tumor (CEOT). After thorough investigations the patient underwent another surgery with right hemi-mandibulectomy. Histopathological evaluation of the specimen showed atypical epithelial cells, hyperchromatic and pleomorphic ameloblast-like epithelial strands, ghost cells and dentin-like material, indicating the diagnosis of GCOC.
Conclusions: GCOC is a rare but aggressive malignant tumor that has a diversity of histological features that may be misinterpreted with other benign calcifying odontogenic cysts and tumors. So, careful diagnosis and wide surgical resection with safety margins are mandatory to minimize its recurrence.
Initial ticagrelor monotherapy strategy is effective and safe in patient with high bleeding risk after percutaneous coronary intervention: series case reports and literature review
Authors: Cui Jianguo , Wu Xu , Jin Qinhua , Yang Xia , Qian Geng , Tian Feng , Sun Zhijun 
Published: September 2022

Abstract
Objective: Short-term duration of dual antiplatelet therapy (DAPT) followed by ticagrelor monotherapy after percutaneous coronary intervention (PCI) among patients at high bleeding risk (HBR) was identified in numerous clinical trials, but the effect of ticagrelor monotherapy as an initial regimen was unknown. To explore the efficacy and safety of ticagrelor monotherapy after PCI in patient at HBR.
Patients and methods: This were case series report at single center, unblinded without control group. A total of 12 acute coronary syndrome (ACS) patients at HBR between November 2020 and December 2021 were enrolled,17 newer generation drug-eluting stents (DES),2 drug-coated balloon (DCB) and 1 bioresorbable scaffolds (BRS) were implanted. Ticagrelor monotherapy was prescribed as an initial antiplatelet strategy after PCI. Study endpoints were major adverse cardiovascular events (MACEs) and major bleeding events at 1-month to 1-year follow-up.
Results: During hospitalization and at the 1–3-month follow-up, there were no adverse clinical events, including ischemic or major bleeding events, in any of the patients. Six patients completed 1-year clinical event-free follow-up, 2 of them had well angiographic outcomes after PCI for one year.
Conclusions: Ticagrelor monotherapy as an initial antiplatelet therapy was safety and efficacy in these patients at HBR undergoing PCI. Further prospective studies and randomized clinical trials are warranted.
Emulsion-Based Liquid-Phase Microextraction Using Rhamnolipid Bioaggregates for Determination of Paracetamol in Human Urine Samples and Tablet Formulation Followed by HPLC Analysis
Authors: Haeri Seyed Ammar , Abbasi Shahryar , Naghipour Ali 
Published: September 2022

Abstract
This work describes a simple, sensitive, and environmentally friendly analytical technique for the determination of paracetamol in human urine samples and tablet formulation. The proposed technique for the extraction and enrichment of the paracetamol is based on the use of rhamnolipid biosurfactants in emulsion-based liquid-phase microextraction. The separation mechanism of paracetamol is based on the emulsion formation of the biosurfactant-rich phase. First, a bioemulsion solution (colloidal phase) was formed and then the analyte was isolated onto the non-aqueous phase. The second step consists of back extraction of the analyte into an aqueous acceptor phase. Finally, the aqueous acceptor phase was withdrawn using a microsyringe and injected into a liquid chromatography instrument for quantitative analysis. The ability of rhamnolipid biosurfactants to form a stable colloidal phase with regions of different polarities can lead to extraction analyte using Van der Waals interactions. Owing to the biodegradability of the rhamnolipid biosurfactants, the proposed technique is environmentally friendly because it has led to the omission of chemical surfactants. Several influencer factors on extraction efficiency including the amount of rhamnolipid biosurfactant, methanol volume, pH, extraction time, ionic strength, and centrifugation time were investigated and optimized. Under optimal conditions, the enrichment factor for the paracetamol was 160. Also, good linearity was obtained in the range 34–100 µg L− 1, with coefficients of determination (r2) ˃ 0.993.
Safety and prognosis of repeated vertebroplasty in the treatment of osteoporotic vertebral fractures
Authors: ZOU Kai , Qiu Yongxiang , Jin Xiaobo , Zhou Yi , Ming Hong , Li Nianyu , Chen Rigao 
Published: September 2022

Abstract
Purpose
The number of patients with re-fracture after vertebral augmentation has gradually increased. Usually, these patients are re-treated with vertebral augmentation, but less attention has been paid to the safety and prognosis of repeated and multi-level treatment with percutaneous vertebroplasty(PVP). This study aims to retrospectively analyze the safety and prognosis of repeated PVP in the treatment of patients with osteoporotic vertebral fractures (OVFs), and to further analyze the factors affecting their prognosis.
Methods
A retrospective analysis of 61 patients with re-fractures after vertebral augmentation who received PVP treatment again from January 2019 to December 2021. The patients were divided into pain group and pain-free group according to their back pain status at last follow-up. The following covariates were reviewed: Age, bone mineral density(BMD), bone cement dosage, bone cement leakage, body mass index (BMI); and the rate of anterior vertebral height(AVH) loss in the target before surgery, 1 week after surgery and at last follow-up. The patients were assessed using Visual analogue scale score (VAS), Oswestry Disability Index (ODI).
Results
A total of 61 patients were included, 17 in the pain group and 44 in the pain-free group. Binary logistic regression analysis revealed the rate of AVH loss at 1 week postoperatively and last follow-up was associated with postoperative back pain. According to the ROC curve analysis, the area under the curvature(AUC) of the AVH loss rate at 1 week after operation was 0.6845, and the cut-off value was 0.18; the AUC of the AVH loss rate at the last follow-up was 0.7306, and the cut-off value was 0.2815. Further Kaplan-Meier survival analysis showed that patients with lower AVH loss rates had lower incidence of postoperative back pain and better prognosis.
Conclusion
PVP is safe and effective in the short term for patients with re-fracture after vertebral augmentation. Postoperative back pain was strongly associated with AVH loss at 1 week postoperatively and at last follow-up. Patients with a lower rate of AVH loss had a lower incidence of postoperative back pain and a better prognosis.
An accurate numerical method and its analysis for time-fractional Fisher’s equation
Authors: Roul Pradip , Rohil Vikas 
Published: September 2022

Abstract

This article aims at developing an optimal superconvergent numerical method for approximating the solution of nonlinear time-fractional generalized Fisher’s (TFGF) equation. The time-fractional derivative in the model problem is considered in the sense of Caputo and it is approximated by means of L2−1 σ scheme. The spatial discretization is done by means of an optimal superconvergent quintic B-spline (OSQB) technique. In order to derive the method, a high order perturbation of the semi-discretized equation of the original problem is generated by using spline alternate relations. Convergence and stability of the method are analyzed. It is proved that the method converges with O(∆t 2 + ∆x 6), where ∆x and ∆t are step sizes in space and time, respectively. Three illustrative applications are provided to show the robustness of proposed method. Our method is compared with the existing methods in the literature. The elapsed computational time for the present scheme is provided.
Hyperlocal US PM2.5 Trace Elements Super-learned
Authors: Amini Heresh , Danesh-Yazdi Mahdieh , Di Qian , Requia Weeberb , Wei Yaguang , Abu-Awad Yara , Shi Liuhua , Franklin Meredith , Kang Choong-Min , Wolfson Jack , James Peter , Habre Rima , Zhu Qiao , Apte Joshua , Andersen Zorana , Xing Xiaoshi , Hultquist Carolynne , kloog Itai , Dominici Francesca , Koutrakis Petros , Schwartz Joel 
Published: September 2022

Abstract
Particulate matter with aerodynamic diameter less than 2.5 µm (PM2.5) is a multi-million human silent killer worldwide and contains numerous trace elements (TEs). Understanding TEs relative toxicity is largely limited by lack of data. Here, we used ensembles of machine learning models to generate ~163 billion predictions estimating annual means of ten TEs, namely bromine, calcium, copper, iron, potassium, nickel, lead, silicon, vanadium, and zinc across 3,535 contiguous US urban areas at 50-m spatial resolution and at 1-km in non-urban areas from 2000-2019. Our results highlight substantial intra-urban and inter-urban variations, shrinkages, stagnations, or expansions of hotspots, and trends across 20 years. These data open avenues for future research from epidemiological studies to environmental justice analyses and more.
Artificial-intelligence-based antivirus specialized in Citadel malwarepattern recognition
Authors: Santos Carlos Henrique Macedo dos , de Lima Sidney Marlon Lopes 
Published: September 2022

Abstract
Background and Objective: The constant growth of invasions and information theft by using infected software has always beena problem. According to McAfee labs in 2020, on average, 480 new viruses are created each hour.The means of identifying such threats, categorizing and creating vaccines may not be that fast. Thanksto the increasing processing power and the popularity of artificial intelligence, it is now possible tointegrate intelligence on an antivirus engine to enhance its protecting capabilities. And doing so withgood algorithms and parameterization can be a key asset in securing one’s environment. In this workwe analyze the overall performance of our authorial antivirus and compare it with other state-of-artantiviruses. The means of identifying such threats, categorizing and creating vaccines may not be that fast.Thanks to the increasing processing power of computers and the popularity of artificial intelligence,it is now possible to integrate intelligence on an antivirus engine to enhance its protecting capabili-ties. And doing so with good algorithms and parameterization can be a key asset in securing one’senvironment. In this work we are analyzing the overall performance of our authorial antivirus andcomparing it with other state-of-art antiviruses.
Methods: In this work we are using mELM, a deep neural network which can perform quicktraining sections and have a satisfactory accuracy when classifying unknown files that may or maynot be infected with Citadel. Our virus database is built with many examples of well-known infectedfiles and our results are compared with 7 other intelligent antiviruses created by other authors.
Results: Our antivirus achieves an overall performance of 91.33% when classifying benign andmalware PE (portable executable) programs. Different initial conditions, learning functions and ar-chitectures of our antivirus are investigated in order to maximize their accuracy.
Conclusions: In this work we have found that mELMs implementations are feasible and its per-formance can match state-of-art implementations. Its training and classification time is among thesmallest found and the accuracy when detecting citadel-infected PEs is acceptable.
The effect of power plant fuel change on the air pollution (SO2 and NOX ) of surrounding areas: A passive measurement method and health risk assessment
Authors: Fouladi-Fard Reza , Naddafi Kazem , Hosseini Mohammad Raza , Yunesian Masud , Nodehi Ramin Nabizadeh , Dehghani Mohammad Hadi , Hassanvand Mohammad Sadegh , Dehabadi Monireh , Fiore Maria , Rahimi Nayereh Rezaei 
Published: September 2022

Abstract
Background
This study aimed to measure the concentrations of sulfur dioxide (SO2) and nitrogen oxides (NOX) and their relationship with the variables of changing seasons and fuel consumption for Qom Combined Cycle Power Plant in three stations around the power plant from December 2014 to May 2015.
Methods
In this study, passive sampling was employed in three monitoring sites around the power plant, namely, Pardisan, Mahdiyeh, and Sagheh stations and health risks were assessed for non-carcinogenic effects of exposure to SO2 and NOX via the inhalation route.
Results
Results showed that the maximum mean concentration values of NOX in winter (when power plants used gasoil) and spring (when power plants used gas fuel) were 52.70 ± 21.70/52.70 ± 13.20 and 22.10 ± 7.00 µg/m3, which were related to Mahdiyeh/Pardisan and Pardisan stations, respectively. In addition, the maximum mean concentration values of SO2 in winter and spring were 5.00 ± 0.20 and 3.90 ± 0.70µg/m3, both for the Mahdiyeh station. Results showed moderately significant correlation between NOx and SO2 concentration values when the power plant consumed gasoil (Spearman rho coefficient 0.68, p < 0.05). Furthermore, significant correlation was observed between gaseous concentration values and the change in power plant fuel type (p < 0.05). The SO2 Hazard quotients (HQ) values for all age groups were less than 1.00. But the NOx HQ values for less than 2 years old (Infants) and 2–6 years old (Children) were more than 1.00 and for other groups were less than 1.0. Furthermore, the Hazard index (HI) calculation showed that HI for NOx was 3.65, which were > 1, showing an unacceptable chance to human health.
Conclusions
In conclusion, the use of gasoil by power plants will remarkably increase the emission of pollutants and consequently the concentration of the pollutants in surrounding areas, thereby increasing the health risk for residents of these regions particularly for children which shows the importance of clean fuel supply and the use of emission control technology in the power plant.
Nickel Recovery Optimization and Kinetic Study from Morowali Laterite Ore
Authors: Prameswara Gyan , Tyassena Flaviana Yohanala Prista , Pasaribu Monita , Trisnawati Iga , Petrus Himawan Tri Bayu Murti 
Published: September 2022

Abstract
Today, nickel plays a critical role in the industry. However, the presence of this metal in its primary source of sulfide minerals is decreasing. The focus of exploration has since turned to laterite ore, which contains up to 80% nickel metal. The purpose of this study is to optimize nickel leaching using sulfuric acid and to conduct kinetic analysis to discover the mechanism that best controls the leaching process. To optimize operating conditions, the response surface method (RSM) with box behnken design is used. The shrinking core model and the Zhuravlev, Leshokin, and Templeman (ZLT) model were used to assess the kinetics of the nickel leaching process. Mineral characterization was also performed to gain a better understanding of the sample's characteristics. At 2 M sulfuric acid, 10% S/L ratio, and 90 oC, the highest nickel recovery of 85% was observed. The obtained apparent activation energy is 32.78 kJ/mol.
Performance Barriers in relation with Professional Development of Graduate Architects in Construction Industry: a Systematic Literature Review
Authors: TIEW SI YEE , HASHIM Ar HELENA AMAN , ZOLKAFLI UMI KALSUM 
Published: September 2022

Abstract
Graduate architects are first mate in architectural practice when handling building construction projects. They had been authorized to run projects in construction industry due to limited architects in the country. The capability of graduate architect when manage project is critical in reducing performance barriers encountered. The aim of this paper is to identify the most critical performance barriers faced by graduate architects during project implementation. A systematic literature review of credible sources in different databases, combining selected keywords and terms related to performance barrier, building contract administration, graduate architects etc. has been carried out. A data set of fifty articles has been analyzed by means of thematic analysis. The five most crucial performance barriers identified relate to: caused by external environment factors, poor project documentation management, lack of soft skill, inadequate knowledge of quality and assessment management and shortfall in design management. The outcome of the study is expected to facilitate graduate architects to devise proactive risk mitigation measures to reduce impact of these barriers and improve project delivery. This paper examined the performance barriers faced by graduate architects which is a timely study, as the increasing number of population and developments will provide ample opportunities for them to perform.
People with higher autistic traits show stronger binding for color–shape associations
Authors: Chen Na , Watanabe Katsumi , Spence Charles , Wada Makoto 
Published: September 2022

Abstract
Non-synesthetes exhibit a tendency to associate specific shapes with particular colors (i.e., circle–red, triangle–yellow, and square–blue). Such color–shape associations (CSAs) could potentially affect the feature binding of colors and shapes, thus resulting in people reporting more binding errors in the case of incongruent, rather than congruent, colored-shape pairs. Individuals with autism spectrum disorder (ASD) exhibit atypical sensory processing and impaired multisensory integration. These features may also affect CSAs. Here, we examined whether autistic traits (Autism-Spectrum Quotient; AQ) influence the strength of color–shape associations, as evidenced by the occurrence of binding errors. Participants took part in an experiment designed to reveal binding errors in visual working memory induced by incongruent and congruent colored-shape pairs, and completed the AQ–50 Japanese version. The results revealed a significant correlation between AQ scores and occurrence of binding errors when participants were presented with the circle–red and triangle–yellow CSAs: That is, individuals with higher autistic traits tend to make more binding errors in incongruent minus congruent colored-shape pairs for circle and triangle, indicating a stronger binding of circle–red and triangle–yellow associations. These results therefore suggest that autistic traits play a role in forming color–shape associations, shedding light on the nature of both color–shape associations and autistic perception.