bluuebunny/crossref_metadata_2025_split huggingface dataset:
Valuable Characteristic of Patlak Parametric Imaging Based on Total-Body Dynamic PET Imaging: Higher Contrast For Tumor Lesions With Respect To Hypermetabolic Tissues
Authors: Chen Zixiang , Duan Yanhua , Li Chenwei , Wang Ying , Yang Yongfeng , Liu Xin , Liang Dong , Zheng Hairong , Cheng Zhaoping , Hu Zhanli 
Published: July 2021

Abstract
Purpose To demonstrate the characteristics of high-contrast tumor lesions on total-body dynamic positron emission tomography (dPET) parametric images qualitatively and quantitatively. Method We reported the results of Patlak parametric images based on total-body dPET images of four patients with different types of tumor lesions. The contrast-to-noise ratios (CNRs) of the target tumor lesions were calculated with respect to hypermetabolic tissues, including the liver and ventricles, both on static PET and parametric images. Results Visual comparisons between the last frame of total-body dPET images and the generated parametric images illustrated the higher contrast of tumor lesions relative to other tissues in the patients. Visualization of the tumor lesions was reserved, while that of the livers and ventricles was diminished. The parametric images resulted in higher CNR values for the tumor lesions with respect to livers and ventricles compared to those given by dynamic PET images. The results were consistent in all the cases analyzed in this study. Conclusion Patlak parametric imaging provides the valuable characteristic of higher contrast for tumor lesions than hypermetabolic tissues, which helps in the clinical detection and diagnosis of tumor tissues.
Protective Effect of Caffeic Acid Phenethyl Ester on Cadmium-Induced Liver Toxicity: A Histopathological and Biochemistry Study
Authors: Deveci Haci Ahmet , NUR Gokhan , KUKURT Abdulsamed , KURU Mushap , DEVECI Ayla 
Published: July 2021

Abstract
The authors have requested that this preprint be removed from Research Square.
Future Climate Projection and Zoning of Extreme Temperature Indices
Authors: Zadeh Mohammad Askari , Mozaffari Gholamali , Kouhi Mansoureh , Khosravi Younes 
Published: July 2021

Abstract
Global warming due to increasing carbon dioxide emissions over the past two centuries has had numerous climatic consequences. The change in the behavior and characteristics of extreme weather events such as temperature and precipitation is one of the consequences that have been of interest to researchers worldwide. In this study, the trend of 3 extreme indices of temperature: SU35, TR20, and DTR over two future periods have been studied using downscaled output of 3 GCMs in Razavi Khorasan province, Iran. The results show that the range of temperature diurnal variation (DTR) at three stations of Mashhad, Torbat-e-Heydarieh and Sabzevar during the base period has been reduced significantly. The trend of the number of summer days with temperatures above 35°C (SU35) in both Mashhad and Sabzevar stations was positive and no significant trend was found at Torbat-e-Heydarieh station. The number of tropical nights index (TR20) also showed a positive and significant increase in the three stations under study. The results showed highly significant changes in temperature extremes. The percentage of changes in SU35 index related to base period (1961–2014) for all three models (CNCM3, HadCM3 and NCCCSM) under A1B and A2 scenarios indicated a significant increase for the future periods of 2011–2030 and 2046–2065. TR20 is also expected to increase significantly during the two future periods. The percentage of changes of DTR into the future is negligible.
Control of Spectral Shift of Plasmon Resonance of Ag-PVP Nanocomposite By Varying The PVP Shell Thickness In Core-Shell Structure
Authors: Sao Dilip , Kuiri Probodh Kumar , Nath Rajib 
Published: July 2021

Abstract
Metal-polymer nanocomposite materials have interesting physical,
chemical, and optical properties which were highly utilized in electronic, optical,and biomedical applications. Here, we have experimentally and theoretically studied the crucial role of polymer Polyvinylpyrrolidone (PVP) on the localized surface plasmon resonance (LSPR) spectra of silver (Ag) nanoparticles
(NPs). In this work, we have synthesized PVP stabilized Ag NPs in
Ethelene Glycol (EG) medium and observed a large blueshift (20 nm)of
LSPR peak and tunable plasmonic properties of PVP coated Ag NPs by only varying the concentration of PVP. A reduction of Ag NP size from 13 nm
to 5 nm with the increase in PVP concentration from 0.125 mM to 3 mM
is seen. We found that the observed large blueshift of the LSPR bands with
the varying in PVP concentration is not just due to the reduced Ag NP size
but due to the combined effect of thickness of the PVP shell and radius of the Ag NP core. The polymer PVP used in the synthesis process of Ag NPs plays role of a surface modifier and forms a protective shell/layer surrounding the (core) particle. This is supported by the theoretical optical absorption data obtained from a modified effective medium theory. To accommodate such a large blueshift of the LSPR bands we have considered the Ag-PVP core-shell structure. The LSPR peak shift in the core-shell nanostructure is well accommodated
by varying the effective shell thickness of PVP while taking the core size of Ag NPs as measured experimentally for each case. This clearly indicates
that the observed large blueshift of SPR band of Ag NPs cannot be justified by considering the decrease in Ag NP size alone. It is also confirmed that the shell thickness of PVP plays a crucial role in explaining the blueshift of the SPR band of Ag NPs. This study can help to understand the optical response especially plasmonic properties of other metal NPs coated with organic polymers.
Role of Pulmonary Surfactant in Gas Exchange Mechanism and Providing Protection against Progression of any Respiratory Viral Disease like SARS-CoV-2 and Need to focus it as First Point of Medication for all Respiratory Diseases
Authors: Phadke Makarand 
Published: July 2021

Abstract
During inhalation oxygen molecules are drawn towards type I cells. The partial pressure difference and solubility factor act as a Drive for this movement of oxygen molecules.It is well known that the pulmonary surfactant plays an important role in gas exchange. The surfactant is thin mono-layer. The top surface of surfactant with SP-B and C proteins faces alveolar air and is hydrophobic in nature and acts as a surface tension reducer, whereas lower surface with SP-A and D proteins is hydrophilic and is adsorbed on mucosal layer. This lower surface of surfactant acts as an anti invader, pathogen barrier. However there is a small missing link in explaining its exact mechanism or role in justifying these properties during normal conditions and during ‘viral ligand’ attack.Similarly a unique physical property of SP- C component is listed in research papers; however its application is not researched anywhere. SP-C has a dielectric constant of 2 to 3 and plays a very critical role in drastically reducing progression of any respiratory viral disease including SARS-CoV-2. This hypothesis targets to explain both micro mechanisms with the help of basic laws of physics, and fluid mechanics. The figures/sketches, drawn also depict the physics involved and not much of a physiology or genetic codes etc. Two examples, in the industry, are briefly listed in the last paragraphs to draw some parallel with above mechanisms.Vaccination is a proven method for containment of respiratory viral disease, if not its cure. But if focus is also given on health of pulmonary surfactant with respect to pathogenesis of any respiratory viral disease, probable loss of lot many lives can be avoided and vaccine development and vaccination management related issues can be less panicky.
Towards Communication UAV-Based: Improving Throughput By Optimum Trajectory And Power Allocation
Authors: Nasrollahi Sedighe , Mirrezaei Seyed Masoud 
Published: July 2021

Abstract
It is predicted that the use of unmanned aerial vehicles (UAVs) in communication systems will be more extensive in future generations of wireless telecommunication networks, due to their facilitating advantages. In this paper, a UAV-based wireless communication system is considered in which a UAV is employed as a relay to connect two ground users. These two disconnected users make a communication pair. Our aim is to maximize the minimum achievable information rate for the communication link between the transmitter and receiver, by cooperatively optimizing UAV trajectory and transmitter and source power allocation. Motivated by the above, we formulate the optimization problem. The solving process is complicated because of the non-convexity of the formulated problem. To overcome this difficulty, we convert the main problem to some sub-problems by fixing some constraints and solve them with iterative algorithms such as successive convex optimization and reach the solution for the main problem. Simulation results show the capability of the proposed algorithm.
The Comparison of Diagnostic Criteria in Children with Familial Mediterranean Fever
Authors: Onder Esra Nagehan Akyol , Özcan Kudret Ebru , Sahin Feride Iffet , Gulleroglu Kaan Savas , Baskin Esra 
Published: July 2021

Abstract
Familial Mediterranean Fever (FMF) is an autoinflammatory disease characterized with recurrent attacks of fever and serositis. The diagnosis is made according to clinical findings and supported by genetic analysis. The most used adult diagnostic criteria are the Tel-Hashomer criteria. The pediatric criteria for the FMF diagnosis of children were described in 2009, but their efficacy should be supported with further reports. In this study, we planned to compare the pediatric criteria and the Tel-Hashomer criteria in our FMF patients. We also aimed to evaluate the importance of the 2019 Eurofever/PRINTO classification criteria in this patient group. A total of 113 patients diagnosed with FMF were included in our study. Demographic features and laboratory findings were retrospectively recorded from the patients’ files. The patients were evaluated with the Tel-Hashomer, pediatric and Eurofever/PRINTO classification criteria. At least two of five new pediatric criteria were as sensitive (88.6%) and specific (84.62%) as the Tel-Hashomer criteria (sensitivity 69.9%, specificity 95.7%). We also evaluated the Eurofever/PRINTO classification criteria in our patients and found its sensitivity 93.8% and specificity 90.6%. Conclusion: Using pediatric criteria in the diagnosis of FMF in children is a feasible and simple method that can diagnose the disease based on at least two criteria. Therefore, our study supports the use of pediatric criteria in the diagnosis of FMF in children. Our results also confirm that the Eurofever/PRINTO classification criteria can be successfully used in the diagnosis of FMF due to their high sensitivity (93.8%) and specificity (90.6%).
Downregulation of Circulating miR-23a-3p, miR-101-3p And miR-let-7c In Women With Idiopathic Recurrent Pregnancy Loss
Authors: Tutunfroush Mina , Ghorbian Saeid , Mohseni Jafar , Danaii Shahla 
Published: July 2021

Abstract
Recently, circulating microRNAs have attracted much attention because they can serve as reliable non-invasive diagnostic and prognostic biomarkers for pregnancy-related complications. So, this study aimed to quantify miR-23a-3p, miR-101-3p and miR-let-7c expression levels in plasma of patients with idiopathic recurrent pregnancy loss (iRPL) and healthy subjects and to evaluate their potential diagnostic value in iRPL patients. A total of 120 plasma samples were obtained from sixty women with a history of at least two consecutive iRPL and sixty healthy women without a history of miscarriage to evaluate the expression levels of the circulating miR-23a-3p, miR-101-3p and miR-let-7c by quantitative real-time polymerase chain reaction (qPCR) technique. The correlation between studied miRNAs and clinicopathological parameters was also assessed. Receiver operating characteristic (ROC) curve was plotted to determine the diagnostic accuracy of miR-23a-3p, miR-101-3p and miR-let-7c in iRPL. Our results showed that the miR-23a-3p expression level in plasma of iRPL patients was lower than those in healthy controls but without a statistically significant difference (P = 0.113). The expression levels of miR-101-3p and miR-let-7c were significantly downregulated in iRPL patients compared with healthy subjects (P < 0.05). The expression levels of miR-23a-3p and miR-let-7c was negatively correlated with number of abortions in iRPL patients. We observed statistically significant positive correlation between miR-23a-3p and miR-101-3p (r = 0.478, P = 0.001), miR-23a-3p and miR-let-7c (r = 0.561, P = 0.0001), miR-101-3p and miR-let-7c (r = 0.533, P = 0.0001) in patients with iRPL. The current study provides evidence indicating that downregulation of miR-23a-3p, miR-101-3p and miR-let-7c may be associated with iRPL.
Gemcitabine-Resistance Reversion of Cucurmosin in Human Pancreatic Cancer Cells
Authors: Wang Congfei , Fu Mingjuan , Huang Heguang , Xie Jieming 
Published: July 2021

Abstract
Objective To investigate the effects of cucurmosin (CUS) on proliferation and drugs resistance in gemcitabine (GEM) human pancreatic cancer cell PANC-1RG7. Methods The ultrastructural changes of PANC-1RG7 cells after CUS intervention were observed by transmission electron microscope. Flow Cytometer (FCM) was used to detect the effect of CUS on the growth cycle of PANC-1RG7 cells. We used colony formation experiment, Sulforhodamine B assays and subcutaneous implantation tumor model to observe the proliferation inhibition and reversal drug-resistance reversion of CUS on PANC-1RG7 in vitro and in vivo. Western blot was used to observe the expressions of RRM1, RRM2, PI3K, Akt, mTOR and other proteins related to apoptosis after CUS intervention. Results After CUS intervention, PANC-1RG7 cells were obviously apoptotic with large number of vacuoles and apoptotic bodies. Compared with parental cell PANC-1, GEM-resistant cell PANC-1 was more sensitive to CUS. The combination of GEM and CUS at different concentrations showed synergistic effect. At the concentration of CUS with the inhibition rate of 10%, the reversal multiples and the reversal efficiency were 1.78±0.65 and 50.13±16.87%, respectively. Subcutaneous implantation tumor model confirmed the proliferation inhibitory effect of CUS in vitro. Western blot confirmed that CUS down-regulated the expressions of RRM1, RRM2, PI3K, Akt and mTOR. Conclusion CUS can significantly inhibit PANC-1RG7 cell proliferation in vivo and in vitro, and can reverse cell GEM-resistance.
Factors associated with hospitalization outcomes for cases of anemia in pregnancy at a regional level in Burkina Faso
Authors: ILBOUDO Bernard , Savadogo Léon Gueswendé Blaise , Traoré Isidore , Meda Clément Zemlé , Hien Alain , Kinda Maurice , Hien Hervé , Dramaix-Wilmet Michèle , Donnen Philippe 
Published: July 2021

Abstract

Background
The complications related to anemia in pregnancy are common in referral hospitals of Burkina Faso. This study aimed to analyze the hospital discharge results of cases of anemia for the mother-pregnancy entity at a regional level in Burkina Faso.
Methods
An hospital-based historical cohort study was conducted on anemia cases identified from hospital records of pregnant women admitted between 2009 and 2011 in the maternity wards of public referral hospitals of the “Cascades” region in Burkina Faso. The hospitalization result was favorable if it was satisfactory for both the mother and the pregnancy, and unfavorable in the other cases. The factors associated with unfavorable hospital discharge were identified through multivariable logistic regression.
Results
A total of 1815 cases of biological anemia in pregnancy were included in the study. The result of hospitalization for the mother-pregnancy entity was unfavorable in 42.6% of cases. The factors associated with unfavorable hospital discharge were rural residence (OR = 1.32; 95% CI: 1.00-1.74), evacuation cases (OR = 1.96; 95% CI: 1.48–2.60), 1st or 2nd trimester of pregnancy (OR = 2.74; 95% CI: 2.03–3.68), severe anemia (OR = 2.46; 95% CI: 1.75–3.46), moderate anemia (OR = 1.39; 95% CI: 1.05–1.85) and poor quality of anemia prevention (OR = 2.81; 95% CI: 1.62–4.88). The unfavorable hospital discharge was less frequent in women in couple (OR = 0.46; 95% CI: 0.26–0.84), in nulliparous and primiparous (OR = 0.69; 95% CI: 0.54–0.88). Age, income level and reason for admission were not associated with the unfavorable hospital discharge.
Conclusion
There was a high frequency of unfavorable hospital discharge of anemia cases for the mother-pregnancy entity in Burkina Faso. Multiple maternal factors were associated with these issues.
WITHDRAWN: Carbon Monoxide Releasing Molecule-2 Protects Intestinal Mucosal Barrier Function of Rat Undergoing Cardiopulmonary Resuscitation via Attenuation of TNF-α/NF-κB Signaling
Authors: Niu Qingsheng , Liu Fang , Zhang Jun , Yang Xiaojun , Wang Xiaohong 
Published: July 2021

Abstract
The unique features of post–cardiac arrest pathophysiology are often superimposed on the disease or injury, causing the cardiac arrest, as well as underlying comorbidities. Exogenous carbon monoxide (CO) was reported to reduce ischemia-reperfusion injury (IRI). This study aimed to assess the effects of CO releasing molecule-2 (CORM-2) on intestinal mucosal barrier function after cardiopulmonary resuscitation (CPR) in rats. For this purpose, we established a rat model of asphyxiation-induced cardiac arrest and resuscitation to study intestinal IRI, and measured the serum level of intestinal fatty-acid binding protein (I-FABP). The expression levels of claudin-3, occludin, ZO-1, tumor necrosis factor-alpha (TNF-α), interleukin-10 (IL-10), and nuclear factor kappa B (NF-κB) p65 were detected by Western blotting. CORM-2 up-regulated the expression levels of tight junction proteins (claudin-3, occludin, and ZO-1) in intestinal mucosa, leading to the reduction of the permeability of intestinal mucosa and reduced the release of proinflammatory cytokines. Besides, the CORM-2 exhibited anti-inflammatory effects by regulating the TNF-α/NF-κB pathway. In conclusion, CORM-2 treatment is clinically significant, preventing intestinal mucosal damage as a result of IRI during CPR.
Emulation of Ternary and Quaternary Logic Quantum Computers By 2-Dimensional Analog Signal Processing
Authors: Mathivanan Anbuselvi , Prabhu Prithviraj , Venkataraman Rishab , Palani Saravanan 
Published: July 2021

Abstract
In this paper, a novel method for the emulation of qutrit and ququart based quantum computers is proposed. The Hilbert space and Bloch sphere representations of qutrits are initially discussed, preceding the emulation of a single qutrit using a classical system. The signal representing the state of the quantum system is defined as the sum of quadrature and in-phase 2-dimensional space-varying signals, which represent the basis states of the quantum system. Focus is mainly conferred on the frequency-domain representation of the signal, due to an innate bijective mapping found between the dimensions in the Hilbert space and the frequencies of the signal. An m -qutrit addressing scheme is then proposed which is used in the application of quantum ternary gates and measurement operations. The proposed theory is then used to simulate a ternary version of the Deutsch-Jozsa algorithm on MATLAB. This paper also includes a section on the extension of the theory to the case of ququarts. It concludes with a brief introduction to a potential system for emulation, and lists algorithms that can be implemented on the proposed system.
A Material Removal Model for Nonconstant-contact Flexible Grinding
Authors: Ye Huan , Chen Zhitong , Xie Zhuoqun , Li Shangbin , Su Shuai 
Published: July 2021

Abstract
Contact calculation is of great importance in predicting the material removal (MR) of flexible grinding process (FGP). The contact is mostly considered approximately constant in the existing MR models, while the situations that contact varies a lot after FGP are ignored. Therefore, a novel model is proposed in this paper to take those situations into consideration. Firstly, the nonconstant-contact situation is introduced. Then an equivalent method is developed to convert the nonconstant-contact grinding process into the accumulation of several quasi-constant-contact grinding processes. Based on the equivalent method, a MR model is established, and the procedure to obtain the model parameters by the finite element analysis (FEA) is introduced. In the end, the equivalent method and the MR model are tested by a series experiments of different process parameters. Results show that the proposed MR model can predict the material removal effectively for the nonconstant-contact situations.
Recursive Feature Elimination with Ridge Regression (L2) Machine Learning Hybrid Feature Selection Algorithm for Diabetic Prediction using Random Forest Classifer.
Authors: venkatachalam K , Prabhu P , Balaji B saravana , Abouhawwash Mohamed , Rajadevi R 
Published: July 2021

Abstract
In day today life, diabetes illness is increasing in count due to the body not able to metabolize the glucose level. The prediction of the right diabetes patients is an important research area that many researchers are proposing the techniques to predict this disease through data mining and machine learning methods. In prediction, feature selection is one of the key concept in preprocessing so that the features that are relevant to the disease will be used for prediction. This will improve the prediction accuracy. Selecting right features among the whole feature set is a complicated process and many researchers are concentrating on it to produce the predictive model with high accuracy. In this proposed work, the wrapper based feature selection method called Recursive Feature Elimination (RFE) is combined with Ridge regression (L2) to form a hybrid L2 regulated feature selection algorithm to overcome the overfilling problem of the data set. Over fitting is the major problem in feature selection which means that the new data are not fit to the model since the training data is small. Ridge regression is mainly used to overcome the overfitting problem. Once the features are selected using the proposed feature selection method, random forest classifier is used to classify the data based on the selected features. The proposed work is experimented in PIDD data set and the evaluated results are compared with the existing algorithms to prove the accuracy effect of the proposed algorithm. From the results obtained by proposed algorithm, the accuracy of predicting the diabetes disease is high compared to other existing algorithms.