bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nature-Inspired Meta-heuristic Optimization Algorithms for Breast Cancer Diagnostic Model: A Comparative Study
Authors: Oladele Tinuke O , Olorunsola Babatunde J , Aro Taye O , Akande Hakeem B , Olukiran Oyenike A 
Published: April 2021

The selection of features is used to obtain a subset of features by the removal of irrelevant features with no or less predictive output. Meta-heuristic algorithms are appropriate for the selection of features because feature subset representation is direct and the evaluation is easily accomplished. This paper performed a comparative study on the impact of meta-heuristic optimization algorithms on breast cancer diagnosis using Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO). The two feature selection algorithms were used to obtain the relevant attributes from the Wisconsin breast cancer (original) dataset. The selected attributes were passed to seven learning algorithms: Support Vector Machine (SVM), Decision Tree (C4.5), Naïve Bayes (NB), K Nearest Neighhood (KNN), Neural Network (NN), Logistic Regression (LR), and Random Forest (RF). The diagnostic model was evaluated based on accuracy, precision, recall, and F1-measure. Experimental showed that the highest accuracy of 97.1388% was obtained in both PSO and ACO using RF classifier, the highest precision value of 0.9720 was recorded in ACO using RF classifier, the highest recall value of 0.9750 was achieved in PSO using RF classifier, the highest F1-measure value of 0.9700 was obtained in PSO using SVM, the highest kappa statistic of 0.9370 was obtained in both PSO and ACO using RF and the lowest time of 0s was taken to build a model was recorded in PSO using KNN and NB, and also in ACO using KNN. The paper concluded that the breast diagnostic model using PSO and ACO with different learning algorithms revealed that the accuracy of RF outperformed other algorithms. Also, it was shown that ACO produced better precision using RF compared with PSO and PSO gave better recall using RF compared with ACO, PSO recorded an efficient F1-measure using SVM. The best time used to build a model was obtained in PSO for KNN and NB, and ACO with KNN.Keywords— Breast cancer, Data mining, Diagnosis, Feature selection, Meta-heuristic.
Effectiveness of Nursing Intervention Protocol on Nurses’ Performance and Patients’ Self-Care after Cataract Surgery
Authors: Taha Amal S. 
Published: April 2021

Context: Cataract is the leading cause of poor vision worldwide. Patients who knowledgeable and skillful nurses well prepare are better prepared to engage in appropriate self-care activities post-cataract surgery.
Aim: This study aimed to assess the effectiveness of nursing intervention protocol on nurses' performance and patients’ self-care after cataract surgery.
Methods: The study followed a quasi-experimental, pretest-posttest design. The study was conducted in ophthalmology surgical inpatient units and the outpatient clinics at Benha University Hospital. The sample consisted of all available nurses (35) working in the ophthalmology surgical inpatient units, and the outpatient clinics who are willing and agreed to participate in the study and a convenient sample consisted of 50 patients of both genders were also included in the current study before implementing nursing intervention protocol. Three tools were used to conduct the study: A structured interview questionnaire, nurses' practice checklist, and patients’ self-care activity checklist.
Results: The results showed statistically significant improvements in nurses' performance (knowledge and practice) immediately post and one-month follow-up post-nursing intervention protocol compared with pre-nursing intervention protocol implementation (p<0.001). General improvement in patients’ self-care activities (41.6±11.042) increased significantly to (64.2±13.65) after nursing intervention protocol implementation at p=0.001. However, after one month of implementing the nursing intervention protocol, a slight decline occurred after one month (52.46±10.97) compared to pre intervention level. Highly statistically significant differences were observed at a p-value ≤0.001.
Conclusion: Findings of this study conclude that the nursing intervention protocol was effective in improving nurses' performance, which was reflected in improving the practice of patients' self-care activities cared for by nurses exposed to nursing intervention protocol implementation. It is recommended that further studies are suggested to investigate the outcome of the implementing nursing intervention protocol on decreasing the occurrence of complications post-cataract surgery.
Pharmaceutico-analytical profile of Mrityunjay Rasa and evaluation of its Antibacterial activity
Authors: Khabade Swapnali , Rathi Bharat Jagdishji , Rathi Renu , Gupta Rajkumar 
Published: April 2021

Background: Mrityunjay Rasa is the one of the Kharaliya Kalpana explained in Yogaratnakara in Jwara chikitsa and indicated in all types of fever. Any pathology can leads to diseases which are easily seen by fever as a clinical symptom. Bacterial infections through the skin or by any system defiantly reflect through fever and as told in classics Mrityunjay Rasa is having the capacity to eradicate all types of Jwara. Aim & Objective: The study is planned to evaluate the antibacterial activity of Mrityunjay Rasa. Material and methods: Mrityunjay rasa was prepared according to Yogratnakar at the Department of Rasashastra & Bhaishajya Kalpana. The formulation was tested for organoleptic characters, physicochemical parameters and microbial specification tests. Observation and results: Standard Mrityunjay rasa can be prepared from three Bhawana of Ardraka swarasa each for an average of 11.55 hrs. Prepared Mrityunjay rasa was Reddish in color with a specific smell and 145.57% average yield. Analytical standards for Mrityunjay rasa such as loss on drying at 105oC, total ash, acid insoluble ash, alcohol soluble extractives, water-soluble extractive, pH, Hardness, Disintegration time and particle size were 2.10%, 15.87%, 2.43%, 2.29%, 20.43 %, 8.7 (10% aqueous solution), 3, 30 minutes 20 sec and 95.41 respectively. Mrityunjay Rasa has shown a better zone of inhibition against Staphylococcus aureus. Conclusion: Analytical parameters obtained through the present study can be considered as a reference standard for Mrityunjay rasa.
Study on the synthesis of graphene/Fe2O3-TiO2@porphyrin hybrid composite and its application as photocatalyst for dyeing wastewater treatment
Authors: Truong Tuan , Nguyen Giang , Nguyen Phuong , Ho Phuong Hien , Nguyen Thi Hong Phuong , Tran Lam , La Duong 
Published: April 2021

Graphene/Fe2O3-TiO2@porphyrin composite was successfully fabricated via self-assembled approach. The synthesized material was fully characterized by UV-Vis, SEM, XRD, photoluminescence, and FT-IR techniques. The graphene@Fe2O3-TiO2@porphyrin composite exhibited uniform incorporation of Fe2O3-TiO2 particles and aggregated nanorod porphyrin on the graphene surface. The resultant graphene@Fe2O3-TiO2@porphyrin composite reveal high photocatalytic performance toward RhB degradation under silmulated sunlight irradiation, which can be utilized as a promising photocatalyst for green environment remediation.
Synthesis of ZnMn2O4 nanostructure via hydrothermal method
Authors: Nguyen Le My Linh  , Do Mai Nguyen  
Published: April 2021

In this study, the spinel-type ZnMn2O4 material was successfully synthesized via hydrothermal method. Several factors influencing the synthesis of material such as Zn/Mn mole ratio, hydrothermal temperature and calcination temperature were studied. The characterization of expected samples using X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier Transform Infrared (FTIR), surface area analysis (BET) was conducted. The XRD results indicated that the highly ordered crystalline form of spinel ZnMn2O4 was synthesized in the conditions: Zn/Mn mole ratio of 1:2, hydrothermal temperature of 120 °C, hydrothermal time of 24 h and calcination temperature of 500 °C.
The Influence of Ultra-High Diluted Compounds on the Growth and the Metabolites of Oriza sativa L.
Authors: Hosseinian Saba , Maute Christiane , Rahimi Fariba , Maute Cornellia , Hamedi Maryam , Mirzajani Fateme 
Published: April 2021

Background: In the present research, we investigated the effects of the ultra-high dilutions (UHDs) on Oryza sativa L. (rice), physiological and biochemical variations.
Methods: In order to study the effect of UHDs (Calendula officinalis in the dilution of 3×103X and Arnica montana in the dilution of 2 ×104 X), 28 experiments were designed and statistically analyzed via the Design Expert 7.0.1 software over the general factorial design methodology. Three qualitative factors were studied including the UHDs/placebo usage (A), sterile/non-sterile experimental condition (B) and the type and timing of the UHDs usage (C). The validated analysis was subjected into more studies on the variations in physiological growth, carbohydrate, protein content, pigment production, and amino acid patterns.
Results: To evaluate the effects of UHDs on rice, we formed a desirable response percentage from a number of healthy seedling production, and studied the height percentage of the aerial parts and main roots. The statistical analysis resulted in the prediction model which was more than 97% correlates with experimental results. The results showed that the UHDs increased the pH variations, carbohydrate, protein and pigment levels by ~2.5, ~1.5, ~1.4, and ~1.4 fold, respectively. Also compared to placebo, the amount and proportion of amino acids has significantly varied. .
Conclusion: Compared to placebo, the UHDs have statistically validated affected the rice germination and seedling growth. Also, they can affect the stress conditions caused by the sterilization process, seedlings entrance into the light and their transition into hydroponic culture medium. The use of UHDs leads to an increase in the production of chlorophyll, as well as carbohydrate and protein content. Moreover, they cause significant variations in the amino acid profile and the production of amino acids along with the photosynthesis, germination, and metabolism processes.
Patient Factors and Perioperative Outcomes Affect Hospital Consumer Assessment of Healthcare Providers and Systems Survey Response Rates After Primary Total Hip Replacement
Authors: Mercier Michael R. , Pathak Neil , Adrados Murillo , Galivanche Anoop R. , Malpani Rohil , Hilibrand Ari S. , Rubin Lee E. , Grauer Jonathan N. 
Published: April 2021

Introduction:
The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey is a federally mandated survey that assesses patient satisfaction after hospitalization. It has been noted that a minority of patients actually return the survey. Potential bias in who does and does not respond to the survey (nonresponse bias) after total hip arthroplasty (THA) may affect the survey results.

Methods:
All adult patients undergoing inpatient elective primary THA between February 2013 and May 2020 at a single institution were selected for retrospective analysis. After discharge, all had been mailed the HCAHPS survey, and the primary outcome for the current study was survey return. Patient characteristics and 30-day perioperative outcomes were assessed. Univariate and multivariate analyses were performed to determine correlations between the above variables and HCAHPS survey return status.

Results:
Of 3,310 THA patients analyzed, 1,049 (31.69%) returned the HCAHPS surveys. On multivariate regression analyses, patients who did not return the survey were more likely to have a higher American Society of Anesthesia score (score of three or higher, odds ratio [OR] = 2.27; P < 0.001), be more functionally dependent (OR = 2.69; P = 0.005), or be Black/African American (OR = 3.40; P < 0.001). Similarly, patients who did not return the survey were more likely to have had any adverse event (OR = 1.80; P = 0.012), major adverse event (OR = 2.88; P = 0.007), readmission (OR = 2.13; P < 0.001), be discharged to a place other than home (OR = 1.71; P < 0.001), or stay in the hospital for longer than 3 days (OR = 1.89; P < 0.001).

Discussion:
After THA, the HCAHPS survey response rate was only 31.69% and completion of the survey correlated with demographic and perioperative variables. These findings suggest that the HCAHPS survey results should be interpreted as a skewed sample of the true surgical patient population. Nonresponse bias is an important factor to consider when evaluating healthcare quality, patient satisfaction survey results, and their effects on federal hospital reimbursement rates.
Factors Associated with the Occurrence of Skin Diseases among Children Attending the Children’s Outpatient Clinic in a Tertiary Care Hospital in Southern Nigeria
Authors: Azubogu Uju S. , Ojule Inumanye 
Published: April 2021

Aims: To determine the factors associated with the occurrence of skin diseases among children attending the Children’s Outpatient Clinic of the University of Port Harcourt Teaching Hospital (UPTH).
Study Design: A Cross sectional study design was used. It was both descriptive and analytical.
Place and Duration of Study: The study was carried out in the Children’s Outpatient Clinic of the Department of Paediatrics, UPTH from June to August 2020 (3 months).
Methodology: We studied 370 children aged less than 18 years. A semi structured interviewer-administered questionnaire was used to obtain all relevant data. This was followed by dermatological examination of the children to make diagnosis of skin diseases. Relevant samples for laboratory confirmation were also obtained where necessary.
Results: Among the 88 children (23.7%) who had skin diseases, our study showed that the socio-demographic factors associated with the occurrence of skin diseases includes: male gender (p=0.001) and low socio-economic class (p<0.001). Hygiene-related factors associated with occurrence of skin diseases includes: lack of water within the home (p=0.001), bath frequency < twice per day (p=0.001) and sharing of personal items (p<0.001). On multiple logistic regression analysis of these factors, the factors predictive of skin diseases were: male gender (p=0.000), low and middle socioeconomic class (p=0.004) and lack of water within the home (p=0.013).
Conclusion: Several socio-demographic and hygiene-related factors were identified to be associated with the occurrence of skin diseases among children in our study. These factors provide an important window for interventions to prevent and control the burden of skin diseases among children in our setting.
Modeling the Effect of Public Awareness in Local Dialects in the Spread of Corona Virus in Nigeria
Authors: Nwasuka S. C. , Ignatius O. A. , Nwala K. T. , Ogbonna J. C. , Nwamuruamu G. U. 
Published: April 2021

To study Corona virus, a non-linear deterministic mathematical model is formulated and analyzed to study a measure which will be efficient and sufficient to control corona virus combining the already existing control measures. In this model, all individuals are susceptible having the tendency of being infected if control measures are not implemented. The disease-free equilibrium point, feasible region of the model’s solutions was carried out and proves the systems uniqueness and existence. Numerical solutions of this model indicate that the combination of already existing control measures of corona virus and public awareness in local dialects) is an efficient method to control the spread of corona virus.
Risk Factors and Quality of Life of Lung Cancer Survivors in Lahore, Pakistan
Authors: Sherwani Rehan Ahmad Khan , Gill Sajjad Ali , Younus Saba , Saeed Sana , Saeed Nadia , Shahid Hira 
Published: April 2021

Introduction: The objectives of this study is to determine the risk factors of lung cancer were patients and investigate the quality of life of lung cancer survivors. The occupational, smoking, personal, environmental and family history of the survivors are investigated. The well-being of the survivors with physical and social norms not were also studied.
Methods: Risk factors and quality of life from a sample of 50 lung cancer patients investigated through a self-administered questionnaire after getting consent from the hospital management and the patients. All the analysis has been done in SPSS 21.
Results: Most of the lung cancer patients were male smokers with a strong history of smoking, and more than half of the respondents inhaled while smoking cigarettes. The significant risk factors among non-smokers are occupational history, personal history, environmental history, and family history. The impact of environmental history with smoking history is observed in lung cancer patients. The physical well-being of the patients is considerably affected by the disease and the pain in their daily activities.
Conclusion: Smoking remained the leading risk factor of lung cancer patients followed by radon. However, family history is found statistically significant in the prevalence of lung cancer. Authorities should draw and implement some guiding rules to control smoking, radon, and air pollution, particularly in residential areas.
More on the Model: Building on the Ruins of Representation
Authors: Hubert Christian 
Published: April 2021

AbstractNew York‐based architectural designer and critic Christian Hubert discusses the change in status of the architectural model since he wrote his seminal text ‘The Ruins of Representation’, published in the Idea as Model exhibition catalogue in 1981. The previous notion of the model as object and representation has become much more complex as contemporary concepts of worldmodelling have been investigated and established.
Handmade Worlds: Constructing an Inhabitable Modelscape
Authors: Bronner Pascal , Hillier Thomas 
Published: April 2021

AbstractCo‐founders of FleaFollyArchitects, Pascal Bronner and Thomas Hillier specialise in the disarming effect of distorting the standard rules of architectural scale. Their propositions consist of wondrous, complex models often based on fictitious stories that they take into the outside world to contribute to the story of the city.
Zero Zero Ze(r)ro(r): How the Cartographic Thirst to Project the Real Reveals Spaces for the Creation of New Worlds
Authors: Dillon Ryan 
Published: April 2021

AbstractThrough a cartographic dérive of Greenwich, home of the Prime Meridian, Architectural Association Head of Communications Ryan Dillon reveals lines, variances, elisions, paradoxes and lies in a world that cannot be totally known or described. His trajectory provokes musings on the inconsistencies of the map and the modelling of any terrain.
Spatially Orthogonal 2D Sidechains Optimize Morphology in All‐Small‐Molecule Organic Solar Cells
Authors: Shan Tong , Ding Kui , Yu Liyang , Wang Xin , Zhang Yi , Zheng Xiaoyang , Chen Chun‐Chao , Peng Qiang , Zhong Hongliang 
Published: April 2021

AbstractOrganic semiconductors consist of a conjugated backbone and flexible sidechains. Compared to the meticulous design of backbones, less attention has been paid to the investigation of sidechains, in particular their spatial orientation. Herein, three non‐fullerene acceptors, anti‐PDFC, syn‐PDFC, and PDFC‐Ph, are applied in all‐small‐molecule organic solar cells (ASM‐OSCs) to reveal the varied effects of sidechains on morphology and device performance. With spatially orthogonal alkyl chains, anti‐PDFC and syn‐PDFC show unique bimodal lamellar packing and moderate crystallinity. When blending with an efficient binary BTR‐Cl/Y6 system, anti‐PDFC as well as syn‐PDFC not only form their own crystal phase but also improve the packing order of BTR‐Cl, consequently enhancing the power conversion efficiency (PCE) of ternary ASM‐OSC to be 14.56%. However, although PDFC‐Ph has an identical backbone with anti‐PDFC, the alternated sidechains make it relatively amorphous, which is prone to damage the original packing of the host donor/acceptor, and thus deteriorating the device performance. When PC71BM is added to optimize the morphology further, the triple‐acceptor device involving anti‐PDFC realizes a PCE of 15.67%, which is among the best efficiencies in ASM‐OSCs. This study demonstrates that a multi‐dimensional sidechain can optimize the morphology of a bulk heterojunction as effective as a conjugated backbone.
Scavenging Energy Sources Using Ferroelectric Materials
Authors: Li Hongyu , Bowen Chris R. , Yang Ya 
Published: April 2021

AbstractFerroelectric materials have attracted interest for over a hundred years as a result of their spontaneous polarization and a polarization orientation that can be reversed by the application of an external electric field. In addition, the degree of polarization can be affected by external stimuli such as vibrations, stress, heat, and light. These properties enable ferroelectric materials to be used to fabricate nanogenerators, which are devices used in energy scavenging applications and provide an opportunity to obtain electrical energy from a variety of external stimuli. This review discusses the development of ferroelectric‐based nanogenerators for scavenging mechanical, thermal, and solar energies through the piezoelectric effect, pyroelectric effect, and photovoltaic effect, respectively. The mechanisms of the effects and the pathways to optimize the output performance of the nanogenerators are analyzed in detail. Recent developments in energy harvesting using ferroelectric materials are discussed with the objective to motivate attention and efforts in this growing field.
Oxygen Vacant Semiconductor Photocatalysts
Authors: Hao Lin , Huang Hongwei , Zhang Yihe , Ma Tianyi 
Published: April 2021

AbstractSemiconductor photocatalysis acts as a sustainable green technology to convert solar energy for environmental purification and production of renewable energy. However, the current photocatalysts suffer from inefficient photoabsorption, rapid recombination of photogenerated electrons and holes, and inadequate surface reactive sites. Introduction of oxygen vacancies (OVs) in photocatalysts has been demonstrated to be an efficacious strategy to solve these issues and improve photocatalytic efficiency. This review systematically summarizes the recent progress in the oxygen vacant semiconductor photocatalysts. Firstly, the formation and characterizations of OVs in semiconductor photocatalysts are briefly introduced. Then, highlighted are the roles of OVs in the photocatalytic reactions of three types of typical oxygen‐containing semiconductors, including metal oxides (TiO2, ZnO, WO3, W18O49, MoO3, BiO2‐x, SnO2, etc), hydroxides (In(OH)3, Ln(OH)3 (Ln=La, Pr, and Nd), Layered double hydroxides) and oxysalts (bismuth‐based oxysalts and others) photocatalysts. Moreover, the advanced photocatalytic applications of oxygen vacant semiconductor photocatalysts, such as pollutant removal, H2 production, CO2 reduction, N2 fixation and organic synthesis are systematically summarized. Finally, an overview on the current challenges and a prospective on the future of oxygen vacant materials is proposed.