bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nanomechanical, Tribological, and Scratch Properties of Electroless Ni-B-W Alloy and Ni-B-W-SiC Composite Coatings
Authors: Nemane Vaibhav , Chatterjee Satyajit 
Published: November 2021

Abstract
Electroless deposition process can develop composite coatings superior in mechanical and tribological characteristics. The deposited alloy matrix with the reinforcement of a hard ceramic phase can produce a stronger composite coating, favorable for industrial applications. Fabrication process of Ni-B-W-SiC electroless composite coating on steel substrate by reinforcing silicon carbide (SiC) in ternary Ni-B-W matrix is presented in this report. Characteristics of the developed composite coating are studied in reference to electroless ternary Ni-B-W alloy coating. These ternary alloy and composite coatings are also subjected to heat treatment (450oC, 1 hr) to observe the changes. All coated samples are characterized with FESEM, XRD, ICP-AES, and HRTEM analyses to draw conclusions in comparative studies concerning morphological features, compositions, and phase structures. Cross-sectional and Raman spectroscopic examinations are performed to authenticate the presence of SiC phases in alloy matrix. To get a further insight on the nature, various nanomechanical and tribological properties of these coatings are evaluated and subsequently co-related. Coatings developed with silicon carbide particles present in matrices show remarkable improvements in nano-hardness (H), reduced modulus (Er), yield strength, and fraction of plastic work done. Heat treatment imparts propitious effects on these mechanical properties due to the formation of harder nickel boride (Ni3B, and Ni2B) phases. Heat-treated Ni-B-W-SiC composite subjected to tribological and micro-scratch testing reveals a significant improvement in sliding wear and scratch resistance as compared to those in other coatings.
Tripodal Phosphine Oxide Ligand with Tetrazole Functionality
Authors: Baulina T. V. , Kudryavtsev I. Yu. , Bykhovskaya O. V. , Pasechnik M. P. , Anikina L. V. , Vologzhanina A. V. , Kochmarik V. A. , Brel V. K. 
Published: November 2021

Abstract
Tris[2-(3′-cyanopropoxy)phenyl]phosphine oxide has been obtained via the alkylation of tris(2hydroxyphenyl)phosphine oxide with 4-bromobutyronitrile in the presence of K2CO3. The product structure has been elucidated by means of X-ray diffraction analysis. The terminal cyano groups in the obtained phosphine oxide have been converted into tetrazole rings via the click-reaction with NH4N3 to give a new hybrid tripodal propeller ligand, tris{2-[3′-(tetrazol-5′′-yl)propoxy]phenyl}phosphine oxide. Palladium(II) complexes of the prepared ligand and its short-linker analog, tris[2-(tetrazol-5′-ylmethoxy)phenyl]phosphine oxide, have been synthesized. Cytotoxicity of the ligands and their Pd(II) complexes has been studied.
A Study on Consumer Attitude and Behavior towards Purchasing of Green Products
Authors: Preetha G. 
Published: November 2021

The evolving climate conditions have proven to be hazards created by the man-made activities. The global warming is causing panic among the environmentalists to safeguard the environment. The consumerism of the modern world has created significant environmental impact on the Earth. The remains of the consumerism are having vital effect on the other living organisms. The role of the disposal has become mandatory for safeguarding the environment. The change in the consumer attitude and behavior has to be modified for the welfare of the future generation. The awareness and activities of the consumers have to enhance at quicker pace to safeguard the environment from further damage. This paper engages to study the awareness level of the consumers towards the green product and to study the green buying behavior of the consumers. The study has been conducted at micro level with 120 samples who are being the consumers of green products. The study has adopted simple random sampling for the selection of the sample from the green product users. The various statistical tools used in the study are percentage analysis, chi-square test and analysis of variance. The results of the study reveal that the consumers are having significant awareness about the green products and most effective methods that influences the green products purchases are attractive as well as informative advertisements. The green product holds the future of environment and examines the consuming habits of the existing consumers. The role of green products is crucial in protecting the environment and making the environment sustainable.
Administrative Services Satisfaction Survey in Private Higher Education Institution in Malolos City, Bulacan, Philippines
Authors: Estacio Dennis L. 
Published: November 2021

The study examined the level of satisfaction of the administrators, teaching and non-teaching personnel of services rendered by the Administrative Services through Survey in Private Higher Education Institution in Malolos City, Bulacan. An ongoing effort to improve the efficiency and effectiveness of programs and services in the Private Higher Education Institution in Malolos City, Bulacan and specifically to identify needed adjustments to better “facilitate education” through Administrative Services (AS), the Head, University Buildings and Campus Ground Maintenance Unit develop and administer a comprehensive Satisfaction Survey. The purpose of the study is to examine the area of strengths and weaknesses that were identified through the survey questionnaire used by 50 respondents representing the 20% of the Private Higher Education Institution in Malolos City personnel. This study makes use of the descriptive survey method to obtain date and information needed in determining the Administrative Services Satisfaction Survey. All Administrators, faculty, and non-teaching staff in the Private Higher Education Institution in Malolos City were invited by questionnaire and completed the survey. The purpose of this brief is to examine the responses from the fifty valid surveys received. The summary of the study provides recommendations for further research and to produce corrective actions on the area that need improvement.
Student’s Performance and Parent’s Involvement in Distance Learning: A Correlational Study
Authors: Marañon Mar Joseph S. , Alegria Jolises S. , Alfonso Ranica M. , Cabatas Lorebelle A. , Cruz Kristine Joy A. De la , Peña Queenilyn B. De la , Deocampo Ray Andrew M. , Embino Placido G. , Espellogo Jeremeah T. , Grande Jebalyn T. , Hinoguin Lore Jean T. , Intig Alexandra Marie R. , Mancia Stephanie C. , Martesano Philip Anthony P. , Nalaunan Franz Ann P. , Reverial Joseph Hanz S. , Villanueva Jenika P. , Bacosa Rogie P. , Castañeda Denelle M. , Peacita Simple Joy M. , Rollo Iril Ian B. , Patrata Anthony G. 
Published: November 2021

Distance Learning had evolve through many ages and generation. This became the main source of teaching on the present since its become convenient and efficient to everyone. As COVID-19 pandemic creates a devastating effect throughout the world, Philippines become innovative on how they will able to adapt and continue the classes with the use of parents as the molder of their children. The main objective of the study is to correlate the level of parent’s involvement on students’ performance in distance learning of Negros Occidental High School during this times of pandemic. A sample size of three hundred thirty-six (336) students were accommodated in the study covered the Senior High School day class students for S.Y. 2020-2021 who are under the two learning modalities — print and digital learning and were randomly selected from different strands both Academic and Non Academic Tracks composed of grade levels namely Grade 11 and 12. A researcher made survey questionnaire was used as a research instrument to gathered data. Proper encryption and verification of data was done to derive a certain result. Results shown that parents involvement in distance learning have no significant relationship towards the performance of the student. The proponents suggested continuing the wider scope of the same study with having larger samples in expanding the range to both Junior High School and Senior High School in order to show various results may add to the body of knowledge in parent’s involvement and student’s performance.
IMPROBED: Multiple Problem-Solving Brain via Evolved Developmental Programs
Authors: Miller Julian Francis 
Published: November 2021

Abstract
Artificial neural networks (ANNs) were originally inspired by the brain; however, very few models use evolution and development, both of which are fundamental to the construction of the brain. We describe a simple neural model, called IMPROBED, in which two neural programs construct an artificial brain that can simultaneously solve multiple computational problems. One program represents the neuron soma and the other the dendrite. The soma program decides whether neurons move, change, die, or replicate. The dendrite program decides whether dendrites extend, change, die, or replicate. Since developmental programs build networks that change over time, it is necessary to define new problem classes that are suitable to evaluate such approaches. We show that the pair of evolved programs can build a single network from which multiple conventional ANNs can be extracted, each of which can solve a different computational problem. Our approach is quite general and it could be applied to a much wider variety of problems.
Success Stories of Satellite Radar Altimeter Applications
Authors: Eldardiry Hisham , Hossain Faisal , Srinivasan Margaret , Tsontos Vardis 
Published: November 2021

Abstract
For nearly three decades, satellite nadir altimeters have provided essential information to understand primarily ocean but also inland water dynamics. A variety of parameters can be inferred via altimeter measurements, including sea surface height, sea surface wind speeds, significant wave heights, and topography of land, sea ice, and ice sheets. Taking advantage of these parameters with the long record of altimeter data spanning multiple decades has allowed a diverse range of societal applications. As the constellation of altimeter satellites grows, the proven value of the missions to a diverse user community can now be demonstrated by highlighting a selection of verifiable success stories. In this paper, we review selected altimeter success stories that incorporate altimetry data, alone or in conjunction with numerical models or other Earth observations, to solve a key societal problem. First, we define the problem or the key challenge of each use case, and then we articulate the uptake of the successful altimeter-based solution. Our review revealed steady progress by scientific and stakeholder communities in bridging the gap between data availability and their actual uptake to address a variety of applications. Highlighting these altimeter-based success stories can serve to further promote the widespread adoption of future satellite missions such as the Surface Water and Ocean Topography (SWOT) mission scheduled for launch in 2022. Knowledge of the breadth of current utility of altimeter observations can help the scientific community to demonstrate the value in continuing radar altimeter and similar missions, particularly those with expanded capabilities, such as SWOT.
A deep learning method for counting white blood cells in bone marrow images
Authors: Wang Da , Hwang Maxwell , Jiang Wei-Cheng , Ding Kefeng , Chang Hsiao Chien , Hwang Kao-Shing 
Published: November 2021

Abstract
Background
Differentiating and counting various types of white blood cells (WBC) in bone marrow smears allows the detection of infection, anemia, and leukemia or analysis of a process of treatment. However, manually locating, identifying, and counting the different classes of WBC is time-consuming and fatiguing. Classification and counting accuracy depends on the capability and experience of operators.

Results
This paper uses a deep learning method to count cells in color bone marrow microscopic images automatically. The proposed method uses a Faster RCNN and a Feature Pyramid Network to construct a system that deals with various illumination levels and accounts for color components' stability. The dataset of The Second Affiliated Hospital of Zhejiang University is used to train and test.

Conclusions
The experiments test the effectiveness of the proposed white blood cell classification system using a total of 609 white blood cell images with a resolution of 2560 × 1920. The highest overall correct recognition rate could reach 98.8% accuracy. The experimental results show that the proposed system is comparable to some state-of-art systems. A user interface allows pathologists to operate the system easily.
Design of lung nodules segmentation and recognition algorithm based on deep learning
Authors: Yu Hui , Li Jinqiu , Zhang Lixin , Cao Yuzhen , Yu Xuyao , Sun Jinglai 
Published: November 2021

Abstract
Background
Accurate segmentation and recognition algorithm of lung nodules has great important value of reference for early diagnosis of lung cancer. An algorithm is proposed for 3D CT sequence images in this paper based on 3D Res U-Net segmentation network and 3D ResNet50 classification network. The common convolutional layers in encoding and decoding paths of U-Net are replaced by residual units while the loss function is changed to Dice loss after using cross entropy loss to accelerate network convergence. Since the lung nodules are small and rich in 3D information, the ResNet50 is improved by replacing the 2D convolutional layers with 3D convolutional layers and reducing the sizes of some convolution kernels, 3D ResNet50 network is obtained for the diagnosis of benign and malignant lung nodules.

Results
3D Res U-Net was trained and tested on 1044 CT subcases in the LIDC-IDRI database. The segmentation result shows that the Dice coefficient of 3D Res U-Net is above 0.8 for the segmentation of lung nodules larger than 10 mm in diameter. 3D ResNet50 was trained and tested on 2960 lung nodules in the LIDC-IDRI database. The classification result shows that the diagnostic accuracy of 3D ResNet50 is 87.3% and AUC is 0.907.

Conclusion
The 3D Res U-Net module improves segmentation performance significantly with the comparison of 3D U-Net model based on residual learning mechanism. 3D Res U-Net can identify small nodules more effectively and improve its segmentation accuracy for large nodules. Compared with the original network, the classification performance of 3D ResNet50 is significantly improved, especially for small benign nodules.
The beneficial impact of filtration surgery on antiviral therapy cessation in patients with cytomegalovirus-related secondary glaucoma
Authors: Murai Yusuke , Mori Sotaro , Takano Fumio , Ueda Kaori , Sakamoto Mari , Kurimoto Takuji , Kusuhara Sentaro , Yamada-Nakanishi Yuko , Nakamura Makoto 
Published: November 2021

Abstract
Purpose
Cytomegalovirus (CMV)-related keratouveitis elevates intraocular pressure (IOP). Antiviral therapy does not always control IOP and some patients do not tolerate systemic antiviral therapy because of the side effects. The purpose of this study is to evaluate the clinical characteristics of patients with CMV-related keratouveitis and determine the impact of glaucoma surgeries on the postoperative antiviral therapy regimen.

Methods
We enrolled twenty-two patients with CMV-DNA-positive keratouveitis between June 2012 and July 2019 in Kobe University Hospital. The following clinical parameters were collected: gender, age, history of previous intraocular surgery, antiviral medications, visual acuity, IOP, glaucoma drug score, corneal endothelial cells density, and the mean deviation of a Humphrey visual field test at the first visit and before and 1 year after glaucoma surgery.

Results
All twenty-two patients started on oral and/or topical antiviral therapy. Eighteen patients needed glaucoma surgery despite their antiviral medications. Nine patients underwent trabeculotomy (TLO) and nine underwent trabeculectomy (TLE) as the first surgical intervention. Six of patients who initially underwent TLO and two of the patients who initially underwent TLE required additional TLE within 1 year. Each of the 15 patients who underwent at least 1 TLE showed a reduction in the magnitude and variation of IOP and glaucoma drug scores and 13 patients were able to discontinue antiviral therapy. For the remaining 4 patients, IOP and inflammation were controlled but with antiviral medications.

Conclusions
In patients with CMV-related keratouveitis, TLE decreases and stabilizes IOP and contributes to withdrawal from antiviral medications.
Leveraging e-Learning technology to enhance pre-service training for healthcare trainees in Ghana: evidence from a pilot project and pointers to policy reforms
Authors: Alhassan Robert Kaba , Ayanore Martin Amogre , Diekuu John-Bosco , Prempeh Emmanuel B. A. , Donkor Ernestina Safoa 
Published: November 2021

Abstract
Background
E-Learning solutions are increasingly being advocated to augment existing traditional teaching and learning efforts in health training institutions. Unfortunately, these emerging technologies rarely focus on health sciences education within the context of public universities, hence the need for this study. This project evaluated experiences of healthcare trainees with a pilot e-Learning project (SMART e-Learning project) initiated in one of Ghana’s public universities in 2017. The study used a mixed methods cross-sectional approach among 363 healthcare trainees. Data collection was between 17th October, 2019 to 3rd December, 2019. Data was analysed descriptively and test for variable differences done using Pearson Chi-square and Fisher’s Exact for categorical variables. Wilcoxon Mann-Whitney test was used to test for differences in the Likert scale items. Additionally, rotated varimax factor analysis was performed for the health trainees’ rated satisfaction factors.

Results
Out of 446 respondents who consented to participate in the study, 363 responses were complete and valid, representing a response rate of 81 %. Most frequently used e-learning facilities by healthcare trainees were: writing interim assessments (IAs) (82 %) while the least used function was live chating with faculty (5 %). Challenges associated with the e-learning pilot project were: limited workspace in the pilot computer laboratory (33 %), slow internet/intranet speed (29 %) and limited capacity of teaching and ICT staff to support users (28 %).

Conclusions
There is the need to engage relevant stakeholders at the University, ministries of health and education through policy dialogues to develop statutory e-Learning guidelines for health educational institutions of higher learning to complement existing traditional teaching and learning approaches.
CircMMP11 overexpression predicts the poor survival of non-small cell lung cancer and downregulates miR-143 through methylation to suppress cell proliferation
Authors: Chen Juan , Gong Jiang 
Published: November 2021

Abstract
Background
CircMMP11 is a characterized circRNA with oncogenic function in breast cancer. In this study, we explored the involvement of circMMP11 in non-small cell lung cancer (NSCLC).

Methods
Paired cancer and non-cancer tissues were collected from 66 NSCLC patients, and the expression of circMMP11 and miR-143 in these tissues were detected using RT-qPCRs. Overexpression levels of circMMP11 and miR-143 were performed by transfection, and their crosstalk was analyzed by RT-qPCRs. The effect of circMMP11 overexpression on miR-143 methylation was analyzed by methylation-specific PCR. CCK-8 assay was performed to analyze the roles of miR-143 and circMMP11 in regulating NSCLC cell proliferation.

Results
We found that circMMP11 was overexpressed in NSCLC and predicted patients’ poor survival. Moreover, a close correlation between circMMP11 and miR143 was observed. In NSCLC cells, circMMP11 overexpression reduced miR-143 expression and increased miR-143 methylation. CCK-8 assay analysis showed that miR-143 reversed the enhancing effects of circMMP11 overexpression on cell proliferation.

Conclusions
CircMMP11 is overexpressed in NSCLC and predicts poor survival. In addition, circMMP11 may downregulate miR-143 through methylation to suppress cell proliferation.
Pharmacists and telemedicine: an innovative model fulfilling Sustainable Development Goals (SDGs)
Authors: Bukhari Nadia , Siddique Maryam , Bilal Nazia , Javed Sobia , Moosvi Arzu , Babar Zaheer-Ud-Din 
Published: November 2021

AbstractThe lack of access to safe medicines and quality healthcare services in peri-urban and rural areas is a major challenge driving a health system to innovate new models of care. This commentary will discuss the implementation and impact of the “Guddi baji” tele-pharmacy model, a project piloted by doctHERs, one of Pakistan’s leading telemedicine organizations. This innovative model has described the reintegration of women into the workforce by leveraging technology to improve the level of primary health care services and contributes to safe medication practice in a remote area. Our intervention proposed the deployment of technology-enabled, female frontline health workers known as the Guddi baji (meaning The Good Sister) in a rural village. They serve as an “access point to health care” that is linked to a remotely located health care professional; a licensed doctor or a pharmacist within this model.
Stabilized Column Generation Via the Dynamic Separation of Aggregated Rows
Authors: Costa Luciano , Contardo Claudio , Desaulniers Guy , Yarkony Julian 
Published: November 2021

Column generation (CG) algorithms are well known to suffer from convergence issues due, mainly, to the degenerate structure of their master problem and the instability associated with the dual variables involved in the process. In the literature, several strategies have been proposed to overcome this issue. These techniques rely either on the modification of the standard CG algorithm or on some prior information about the set of dual optimal solutions. In this paper, we propose a new stabilization framework, which relies on the dynamic generation of aggregated rows from the CG master problem. To evaluate the performance of our method and its flexibility, we consider instances of three different problems, namely, vehicle routing with time windows (VRPTW), bin packing with conflicts (BPPC), and multiperson pose estimation (MPPEP). When solving the VRPTW, the proposed stabilized CG method yields significant improvements in terms of CPU time and number of iterations with respect to a standard CG algorithm. Huge reductions in CPU time are also achieved when solving the BPPC and the MPPEP. For the latter, our method has shown to be competitive when compared with a tailored method. Summary of Contribution: Column generation (CG) algorithms are among the most important and studied solution methods in operations research. CG algorithms are suitable to cope with large-scale problems arising from several real-life applications. The present paper proposes a generic stabilization framework to address two of the main issues found in a CG method: degeneracy in the master problem and massive instability of the dual variables. The newly devised method, called dynamic separation of aggregated rows (dyn-SAR), relies on an extended master problem that contains redundant constraints obtained by aggregating constraints from the original master problem formulation. This new formulation is solved in a column/row generation fashion. The efficacy of the proposed method is tested through an extensive experimental campaign, where we solve three different problems that differ considerably in terms of their constraints and objective function. Despite being a generic framework, dyn-SAR requires the embedded CG algorithm to be tailored to the application at hand.