bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation of FDM 3D-Printed PLA Scaffolds for Tissue Engineering
Authors: Eryildiz Meltem 
Published: June 2022

Abstract
Scaffolds with gradient porosity have become very promising candidates for tissue engineering and bone implants because of the combination of better mechanical and biological requirements. In this paper, a novel approach is proposed to design bone scaffolds with gradient porosity similar to the structure of cortical and spongy (cancellous) bones. The radial gradient PLA scaffolds were designed to consist of three different regions with the gyroid infill and, fabricated by Fused deposition modeling (FDM). The scaffolds with radial gradient porosity (G100-40-20) gave highest cell proliferation. Because, mean pore size is an important aspect of scaffolds for mimicking bone.
Research on microstructure and mechanical properties of Al-Zn-Mg-Cu alloy when modified by La, Ce and thermo-mechanical treatment
Authors: Bui Thi Ngoc Mai , Vu Anh Tuan , Nguyen Duong Nam , Tran Duc Huy 
Published: June 2022

Influence of rare-earth (La, Ce) and thermo-mechanical treatment on microstructure and mechanical properties of Al-Zn-Mg-Cu alloy are presented in this article. After casting, the alloy which was modified by La, Ce, the grain size of samples obtained around 40–50 µm compared to that of without about 65 µm; and after homogeneous, the grain sizes is about 30 µm. After the cold deformation process, the distance between plates is 10 µm. By EDS after casting, the samples have tended to more La, Ce elements at the grain boundary, after homogeneous, the uniformation distribution of rare-earths was presented by mapping of EDS’s results. In addition, after rolling and heat treatment, the elements were found on the grain boundary and matrix. After recrystallization annealing, the grain size is around 10 µm with the modification sample. The grain size was reduced by two processes of modification as well as thermal-mechanical treatment is a condition for increasing the ductility of the studied alloy. Further, as a result of ability deformation from the tensile test, these results demonstrate that the tensile test obtained 140 % when adding La, Ce contents into the alloy combine with thermal-mechanical treatment. The combined used of La, Ce and thermal-mechanical treatment have increased the ductility of Al-Zn-Mg-Cu alloy
Thermal characterization of straight and curve edge blade liquid fuel swirl burner
Authors: Oyewola Olanrewaju Miracle , Singh Patrick Mark , Akinwonmi Ademola Samuel , Ajide Olusegun Olufemi , Salau Tajudeen Abiola Ogunniyi 
Published: June 2022

Accurate monitoring and controlling of the temperature in the combustion chamber can raise the burner efficiency, combustion intensity, fuel consumption and reduce pollutant emission. However, except combustion is accurately monitored and controlled, high concentration of pollutant gases and products like carbon monoxide (CO) and soot can form in the combustion chamber. This paper compares the combustion thermal profiles in a liquid fuel swirl burner using developed straight edge and curve edge blade swirlers at (20, 30, 40, 50 and 60)° for 6, 8, 10 and 12 number of blades in order to optimize the temperature of the burner. Measurements were made in straight and curve blades liquid fuel swirl burner in order to study and compare the thermal characteristics of the straight and curve edge blades in optimizing the combustion dynamics. Similarly, measurements were made for burner without swirl generator and the combustion temperature assessed. Thermal profile was measured in the direction of flow via the six axial ports at distance ((d) =150, 350, 550, 750, 950 and 1150 mm) from the burner exit using Chromium-Zinc thermocouple. Results showed that the wavelength and oscillation of temperature decay in the same type of blade followed the same trend and the peak of combustion intensity is nearer the nozzle for curve edge blades than the straight edge blade. Six (6) blades performed best with the highest temperature in all the ports, while 12 blades gave the least performance. Findings further show that curve edge blade swirlers gave better performance than straight edge blade swirlers with highest temperature of (1065 and 1015) °C, respectively. Hence, it is recommended especially where high temperature and stability application is desirable
Development of a rangefinding method for determining the coordinates of targets by a network of radar stations in counter-battery warfare
Authors: Khudov Hennadii , Zvonko Andrii , Lisohorskyi Bohdan , Solomonenko Yuriy , Mynko Petro , Glukhov Sergey , Irkha Artem , Lishchenko Vitaliy , Mishchenko Yaroslav , Khudov Vladyslav 
Published: June 2022

The increase in the accuracy of determining the coordinates of targets is explained by the use of a network of counter-battery radar stations and the rangefinding method for determining the coordinates of targets. The main advantage of using the rangefinding method for determining the coordinates of targets in a network of counter-battery radar stations is to ensure the required accuracy in determining the coordinates of targets without using accurate measurement of angular coordinates. The minimum geometry of the system, which ensures the use of the rangefinding method for determining coordinates, is given. The method of determining the coordinates of targets by a network of counter-battery radar stations has been improved. In contrast to the known ones, information about the range to the target is additionally used in a spatially distributed network of radar stations for counter-battery combat. The boundaries of the working zones of the network of two and three counter-battery radar stations are calculated. The features of creating a continuous strip using the rangefinding method for determining the coordinates of the target are considered. Statistical modeling of the rangefinding method for determining the plane coordinates of the target has been carried out.
It has been established that the use of the rangefinding method ensures the determination of the planar coordinates of the target in a sector of at least 120°. The targets are at a distance of direct radio visibility in relation to the counter-battery radar. The root-mean-square error in determining the target range in this case is no more than 50 m. It has been established that the creation of continuous bands of a low-altitude radar field at a certain height is possible by arranging radar stations in a line. In this case, the distance between the counter-battery radar stations should be no more than half the target detection range at this height
Synthesize and characterization of artificial human bone developed by using nanocomposite
Authors: Dong Pham Van , Patil Santosh R. , Shirguppikar Shailesh S. , Tu Do Ngoc , Phan Nguyen Huu , Thanh Le Thi Phuong , Vu Ngo Ngoc 
Published: June 2022

The combination of biopolymers with bioceramics plays vital role in development of artificial bone. Hydroxyapatite is extensively used as a material in prosthetic bone repair and replacement. In this paper synthesis of Hydroxyapatite- Polymethyl methacrylate – Zirconia (Hap-PMMA-ZrO2) composite by using powder metallurgy technique. The mechanical, morphological, In-vitro biocompatibility and tribological properties were characterized by universal testing machine, micro-vickers hardness tester, high resolution transmission electron microscope (HR-TEM), MTT assay and pin-on-disc setup. In-vitro cytotoxicity test on HeLa cell lines shows cell viability constant when doses concentration increases so material found non-toxic. Results show that micro Vickers hardness i.e. 520 approximately matches with natural human bone i.e. 400. Compressive strength is less as compared to human bone because of powder metallurgy route used for fabrication and is 74 MPa. Density of proposed composite artificial human bone i.e. 1.52 g/cc is less as compared to natural bone i.e. 2.90 g/cc. The Hap-PMMA-ZrO2 composite will be good biomaterials for bone repair and replacement work
Predictive modeling of the primary settling tanks based on artificial neural networks for estimating TSS and COD as typical effluent parameters
Authors: Veloz Carlos , Pazmiño-Arias Esteban , Gallardo Andrea M. , Montenegro Jhon , Sommer-Márquez Alicia , Ricaurte Marvin 
Published: June 2022

Abstract
A predictive model based on artificial neural networks (ANNs) for modeling primary settling tanks' (PSTs) behavior in wastewater treatment plants was developed in this study. Two separate ANNs were built using input data, raw wastewater characteristics, and operating conditions. The output data from the ANNs consisted of the total suspended solids (TSS) concentration and chemical oxygen demand (COD) as predictions of PSTs’ typical effluent parameters. Data from a large-scale wastewater treatment plant was used to illustrate the applicability of the predictive model proposal. The ANNs model showed a high prediction accuracy during the training phase. Comparisons with available empirical and statistical models suggested that the ANNs model provides accurate estimations. Also, the ANNs were tested using new experimental data to verify their reproducibility under actual operating conditions. The predicted values were calculated with satisfactory results, having an average absolute deviation of &lt;20%. The model could be adapted to any large-scale wastewater plant to monitor and control the operation of primary settling tanks, taking advantage of the ANNs' learning capacity.
Factors and Mechanisms Affecting the Secretion of Recombinant Protein
in CHO Cells
Authors: Wang Tian-Yun , Feng Hui-Gen , Yang Yong-Xiao , Li Qin , Li Wei-Dong 
Published: June 2022

Abstract:
The market demand for recombinant therapeutic proteins（RTPs) has promoted the
development of various protein expression host and bioprocessing technologies. Since mammalian
cells have the unique advantage of being able to direct the correct folding of proteins and provide
post-translational processing such as complex glycosylation, the RTPs produced by them currently
account for approximately 80% of the approved marketed RTPs. Among them, Chinese hamster
ovary (CHO) cells are currently the preferred host cells for the production of RTPs. Production of
RTPs in CHO cells involves the synthesis, processing, transport, and secretion of proteins. The
secretion process of proteins is one of the key steps, which greatly limits the yield and quality of
RTPs. Here, we review the recombinant protein secretion process of CHO cells and its influencing
factors, and further discuss the optimization strategy for recombinant protein secretion and expression
in CHO cells.
Emerging Hop Japanese Pollinosis in Asia
Authors: Park Hae-Sim , Jung Chang-Gyu 
Published: June 2022

Abstract:
Hop Japanese (Hop J) pollen has been considered one of the major causative pollen allergens
in Far East Asia in the autumn season. The sensitization rate, pollen count, and allergenicity of Hop J
pollens are increasing in this region because of increased air pollution and global warming. However,
commercial skin test agents for the diagnosis and allergen extracts for the allergen immunotherapy are
not available. This review summarizes recent data on clinical impact of Hop J pollinosis in order to facilitate
the development of diagnostic and therapeutic agents for this region.
Caffeic Acid Phenethyl Ester: A Potential Anticancer Bioactive Constituent
of Propolis
Authors: Kapare Harshad , Nagaraj Srishti , Wakalkar Shweta , Rathi Karishma 
Published: June 2022

Background:
Currently, synthetic therapeutic drugs used in cancer treatment are targeting
cancerous tissues that also affect noncancerous dividing cells, which exhibit side effects that
decrease the immune response and affect the quality of life. Traditional/ natural products are well
proven for a variety of therapeutically active chemical constituents. Caffeic acid phenethyl ester
(CAPE) is one of the bioactive molecules found in the natural product propolis is now attracting
researcher’s interest because of its anticancer potential.

Objective:
The aim of this review is to summarize and critically analyze the current evidence on the
therapeutic effects of CAPE in various types of cancer cells, both in terms of in vitro and in vivo,
along with supportive anti-inflammatory & antioxidant activity in cancer therapy.

Methods:
This study focused on the mechanism pathways, synergism of CAPE. Various conventional
and advanced targeted nanotechnology based formulation approaches developed for the delivery
of CAPE as a promising therapeutic agent were also discussed in detail in terms of challenges
and future opportunities.

Conclusion:
Overall study summarized and demonstrated the excellent therapeutic potential, mechanisms,
and formulation approaches of CAPE as a therapeutic bioactive molecule. Study and research
further can be initiated for the investigation of biopharmaceutical aspects for therapeutic and
clinical applications.
Could High-intensity Interval Training be Inappropriate in Pulmonary
Rehabilitation of COVID-19 Recovered Patients? Opinion Article
Authors: Ahmad Ahmad Mahdi 
Published: June 2022

Abstract:
Pulmonary rehabilitation is a multidisciplinary intervention recommended by international guidelines in the management of COVID-19 patients and/or post-COVID-19 conditions with mid- and long-term complications of the initial illness. Physiotherapy-based pulmonary rehabilitation has been receiving considerable attention since the COVID-19 pandemic, with supervised exercise training being probably the most important component. Current guidelines clearly encourage low- to moderate-intensity exercises to begin with for COVID-19 recovered patients, and discourage high-intensity/vigorous exercises. However, the ongoing interests in high-intensity interval training (HIIT) have extended to post-COVID-19 rehabilitation, based on its efficacy and safety in other patient populations. In this perspective, several reasons behind the possibility of the inappropriateness of the HIIT in post-COVID-19 conditions will be discussed, supported by evidence. In addition, the key points for safe exercise after COVID-19 illness will be listed.
Research on Load Balancing MapReduce Equivalent Join Based on Intelligent
Sampling and Multi Knapsack Algorithm
Authors: Jia Songhao , Yang Cai , Yang Jizheng , Chen Xing , Liu Yan 
Published: June 2022

Background:
With the rapid development of science, more data is available to human
beings. Therefore, the storage and calculation of big data have become the focus of scientific research.
MapReduce performs well in the big data processing. However, it is prone to data skew,
which affects the overall efficiency of the data processing cluster.

Objective:
Aiming at the low efficiency of MapReduce data join, this paper proposes an intelligent
data join load balancing algorithm based on dynamic programming. The algorithm introduces
data sampling and partition algorithms. Due to the high performance of dynamic programming
in the data constraint problem, it is used to solve the data skew problem intelligently.

Methods:
Firstly, the causes of data skew are analyzed and the data partition method is improved.
The algorithm introduces a data sampling method. In the task allocation stage, the multidimensional
knapsack algorithm is used. Different key values are evenly divided to each computing
node through the load cost. Finally, The performance of the improved algorithm is verified by
experiments.

Results:
The experimental results show that compared with the traditional load balancing algorithm
and the existing improved algorithm, the new algorithm improves the data processing efficiency,
reduces the data skew problem and better solves the problem of data load imbalance.

Conclusion:
A two-table equivalent join load balancing algorithm based on key cost has been
proposed. The algorithm creatively combines dynamic programming with intelligent data sampling,
which greatly improves the efficiency and quality of data processing. The algorithm is worthy
of popularization and application.
In-hospital Enrollment Into an Electronic Patient Portal Results in Improved Follow-up After Orthopedic Surgery: Cluster Randomized Controlled Trial
Authors: Bhashyam Abhiram R , Bansal Mira , McGovern Madeline M , van der Vliet Quirine M J , Heng Marilyn 
Published: June 2022

Background
Electronic patient portal (EPP) use is associated with lower no-show rates and increased patient satisfaction. However, there are disparities in enrollment into these communication platforms.

Objective
We hypothesized that guided inpatient enrollment into an EPP would improve clinical follow-up and EPP use rates for patients who underwent orthopedic surgery compared to the usual practice of providing information in the discharge summary.

Methods
We performed a randomized controlled trial of 229 adult patients who were admitted to the hospital for an orthopedic condition that required a 3-month follow-up visit. Patients were cluster-randomized by week to either the control or intervention group. The control group received information on how to enroll into and use the EPP in their discharge paperwork, whereas the intervention group was actively enrolled and taught how to use the EPP. At 3 months postdischarge, the patients were followed to see if they attended their follow-up appointment or used the EPP.

Results
Of the 229 patients, 83% (n=190) presented for follow-up at 3 months (control: 93/116, 80.2%; intervention: 97/113, 85.8%; P=.25). The likelihood of EPP use was significantly higher in the intervention group (control: 19/116, 16.4%; intervention: 70/113, 62%; odds ratio [OR] 8.3, 95% CI 4.5-15.5; P<.001). Patients in the intervention group who used the EPP were more likely to present for postsurgical follow-up (OR 3.59, 95% CI 1.28-10.06; P=.02).

Conclusions
The inpatient enrollment of patients who underwent orthopedic surgery into an EPP increased EPP use but did not independently result in enhanced follow-up. Patients who were enrolled as inpatients and subsequently used the portal had the highest likelihood of 3-month follow-up.

Trial Registration
ClinicalTrials.gov NCT03431259; https://clinicaltrials.gov/ct2/show/NCT03431259
Catherine the Great in the History of Russia
Authors: Gridnev V. P. 
Published: June 2022

The purpose of the article is to evaluate the management activities of Empress Catherine II during the reign from 1762 to 1796.Objective: to analyze the organizational activities of Catherine the Great, aimed at reforming the entire system of state and local government of Russia.Conclusion: experience, an active life position and the results of the state building of Catherine II indicate that women can be not only guardians of the family hearth, but also successful leaders, as evidenced by the numerous positive assessments given to her by well-known and respected Russian historians and foreign statesmen.
Frequentist and Bayesian analysis methods for case series data and application to early outpatient COVID-19 treatment case series of high risk patients
Authors: Gkioulekas Eleftherios , McCullough Peter A , Zelenko Vladimir 
Published: June 2022

When confronted with a public health emergency where the pre-existing
standard of care is inadequate, significant innovative treatment
protocols can sometimes be discovered by medical doctors at the front
lines based on repurposed medications. We propose a statistical
framework for analyzing the case series of patients treated with such
new protocols, that enables a comparison with our prior knowledge of
expected outcomes, in the absence of treatment. The goal of the proposed
methodology is not to provide a precise measurement of treatment
efficacy, but to establish the existence of treatment efficacy, in
order to facilitate the binary decision of whether the treatment
protocol should be adopted on an emergency basis. The methodology
consists of a frequentist component that compares a treatment group
against the probability of an adverse outcome in the absence of
treatment, and calculates an efficacy threshold that has to be exceeded
by this probability, in order to control the corresponding $p$-value,
and reject the null hypothesis. The efficacy threshold is further
adjusted with a Bayesian technique, in order to also control the false
positive rate. A random selection bias threshold is then calculated from
the efficacy threshold to control for random selection bias. Exceeding
the efficacy threshold establishes the existence of efficacy by the
preponderance of evidence, and exceeding the more demanding random
selection bias threshold establishes the existence of efficacy by the
clear and convincing evidentiary standard. The combined techniques are
applied to case series of high-risk COVID-19 outpatients, that were
treated using the early Zelenko protocol and the more enhanced
McCullough protocol.
Clinical features and high-risk factors of plastic bronchitis in children with Mycoplasma pneumoniae pneumonia
Authors: Cui Xiaojian , Zhang Tongqiang , Zhao Lihua , Guo Wenwei , Zhao Li , Zheng Jiafeng , Guo Wei , Zhang Jiayi , Si Ping , Shen Yongming , Xu Yongsheng 
Published: June 2022

Objectives：To analyze the clinical characteristics and high-risk
factors of plastic bronchitis in children with mycoplasma pneumoniae
pneumonia (MPP). Methods: Retrospective analysis was performed using
clinical data of 517 children admitted to Tianjin Children’s Hospital
from January 1, 2017, to December 31, 2021. The included children were
diagnosed with MPP and received fiberoptic bronchoscopy interventional
therapy. The patients were divided into plastic bronchitis (PB) (78) and
non-plastic bronchitis (non-PB) (439) groups based on their endoscopic
manifestations and pathological findings.
The clinical characteristics, laboratory results, and imaging findings
were then analyzed. Receiver operating characteristic (ROC) curve and
multivariate stepping-logistic regression analysis were used to predict
the high-risk factors for PB in MPP children. Results: The occurrences
of hypoxemia, peak body temperature, fever duration before FOB, pleural
effusion and extrapulmonary manifestations were more frequent in the
PB group than in the non-PB group (p < 0.05). Furthermore,
WBC, Neut%, CRP, PCT, IL-6, AST, ALT, LDH, CK, , SF, D-D and FIB
levels were significantly higher in the PB group than in
the non-PB group ( p < 0.05). Moreover, the ROC curves and
multivariate logistic analysis showed that hypoxemia, peak body
temperature>39.85 ℃, fever duration before FOB
>10. 5 days, Neut%>72.95%,
IL-6>54.41pg/mL and LDH>479.00 U/L were
independent risk factors for PB in children with MPP. Conclusions: PB
commonly occurs in MPP patients with more severe clinical
manifestations, stronger inflammatory response, and extrapulmonary
complications. Hypoxemia, peak body temperature>39.85 ℃,
fever duration before FOB >10. 5 days, Neut
%>72.95%, IL-6>54.41 pg/mL and
LDH>479.00 U/L may be key predictors of PB in children with
MPP.
Pengaruh Self Efficacy, Komitmen Organisasi dan Pelatihan terhadap Efektivitas Penyelenggaraan Sistem Akuntabilitas Kinerja Instansi Pemerintah
Authors: Wulandari Mutia , Afriyenti Mayar 
Published: June 2022

This study aims to examine the effect of self efficacy, organizational commitment and training on the effectiveness of SAKIP implementation. This study uses agency theory and effectiveness theory. The population of this research is the Regional Apparaturs Organization (OPD) of Padang City and Pesisir Selatan Regency with purposive sampling method. The method of data collection is using a questionnaire that is distributed directly Respondents in this study were secretaries, heads of general and finance divisions in each agency within the Padang City Government and Pesisir Selatan Regency. Hypothesis testing using multiple linear regression analysis.The result showed that for Padang City self-efficacy and organizational commitment had no effect on effectiveness the implementation of SAKIP while, training has a significant effect on the effectiveness of implementation of SAKIP. And for Pesisir Selatan Regency, showed the results that self efficacy, organizational commitment and training has no significant effect on the effectiveness of implementation SAKIP.