bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adult Patient Satisfaction With Nursing Care Services and Associated Factors Among Admitted Patients at Saint Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia, 2022
Authors: Bogale Bantalem Amanu , Ahmed Sindew Mahmud , Gebrekidan Aynie Birhane , Bogale Getachew Amanu 
Published: November 2022

Abstract
Background: Around the world, providing holistic nursing care and ensuring patient satisfaction have become crucial health-care performance indicators. Despite a lot of efforts to improve patient satisfaction with nursing care, the approach in the developing world, including Ethiopia, is still insufficient.
Objective: The aim of this study was to assess adult patients’ satisfaction with nursing care services and identify the factors affecting satisfaction at Saint Paul’s hospital millennium medical college, 2022.
Methods: Cross-sectional study was conducted at Saint Paul’s hospital millennium medical college. A simple random sampling technique was used to select 422 study participants. The actual sample was distributed using proportional allocation for each selected adult inpatient departments. Participants were interviewed using a modified structured Amharic version of ‘Newcastle Satisfaction with Nursing Scale’ tool from June 20/2022 to July 30/2022. Data analysis was made by SPSS version 26. Bivariate and multivariable logistic regression analysis was used to identify factors associated with adult patient satisfaction. Statistical association was declared using 95% CI and a p-value of < 0.05.
Results: The overall level of patient satisfaction with nursing care was 54.3%. Respondents who had no formal education (AOR=8.482; 95% CI=1.678-42.87), being male (AOR=2.487; 95% CI=1.038-5.959) (P-value=0.041), free service consumers (AOR=6.650; 95% CI: 2.677-16.517), health insurance user (AOR=7.309; 95% CI=3.122-17.110) (P-value=0.000), was significantly associated with satisfaction with nursing care. In addition patients’ who had admission history (AOR=0.261; 95% CI=0.122-0.560), governmental workers (AOR=0.090; 95% CI=0.026-0.310) (P-value=0.000) and patients admitted in medical ward (AOR=0.160; 95% CI=0.039-0.649) (P-value=0.010) were associated with patient dissatisfaction with the nursing care services.
Conclusion and recommendations: The finding showed that patient satisfaction with nursing care was rated low. Admission history, higher education level, paid cash for service, private and governmental workers were significant predisposing factors to dissatisfaction with nursing care. On the other hand, patients who had no formal education, free service consumers, and being male were significant predictors of satisfaction with the nursing care services. Therefore, it is recommended to include all communities with health insurance schemes and the hospital administration to better give emphasis to patient needs and expectations.
Relationships between weather parameters and foraging daily activity of Oecophylla smaragdina (Hymenoptera: Formicidae) in oil palm plantations: Case Study
Authors: Pierre Exélis Moïse , Ramli Rosli , Idris Azarae Hj. , Latif Samshul Amry Abdul , Yaakop Salmah , Ibrahim Rabha W. 
Published: November 2022

Abstract
Asian weaver ant, Oecophylla smaradigma is a nuisance species, effect the plantation employee due to their painful bites. The O. smaragdina was reported as one of the potential predators for the invasive bagworm species, Pteroma pendula in the oil palm plantation. Despite their important role in the plantation, however the study on the ecology and behaviour of the O. smaragdina is still lacking and not discovered. The objectives of this study were to investigate the relationships between the foraging daily activities of the O. smaragdina with the weather parameters. In 2018-2022, this study investigates the trunk foraging activity pattern of O. smaragdina colonies (9 days per colony) from selected plantations, as an effort of mitigation. In 2020-2022, a targeted field study was undertaken to examine the daily trunk foraging activities of major workers in relation to air temperature (AT), relative humidity (RH), air pressure (AP) and rainfall (RI). Ground forager behaviours were observed and examined from the trunk trail split covering an average frontal fluctuating angle from base palms. It is suggested that O. smaragdina is a diurnal ant species with much lesser crepuscular intensity. It is demonstrating similar daily foraging activity patterns featuring higher intensity during the warmest daily periods in relation to population size relative abundance. This was irrespective of the dry-wet seasons corresponding to low activity from late scoot-phase to early photo phase, exhibiting a bimodal foraging pattern. Throughout the overnight period, foraging activity ceased. O. smaragdina is a visual light dependent hunter for efficient intensive foraging. Active foragers reached peaks at around 1100 to 1530 hours, and from 1745 to 1845 hours. Between 1620 and 1650 hours, foragers demonstrated a two-fold daily decline in intensity on average. There was a strong positive correlation between foraging activity, AT and AP but negatively correlated with RH. Sustained RI stopped the trunk-ground trail activity of O. smaragdina, exposing outbound foragers withdrawing massively to the canopies. Defensive territorial layers are established from the base palm trunks reaching an average 5 m distance featuring two distinct spatial arrangements. Major workers trunk trails split into several new lines on an average 3 m radius showing higher foraging density. The trails broke off to expand into a web shape figure occupation reaching on average 5 m. The avoidance of forager relentless attacks can be achieved during the daily low activity periods (before 1000 hours) for pruning and harvesting tasks if the adoption of O. smaragdina is implemented to control the invasive Metisa plana bagworm species.
Multiclass Skin Cancer Classification using Ensembled Deep Learning Model
Authors: Prakash Shashank , Acharya Shreyas , Hiriyannaiah Srinidhi , Siddesh GM , Sriniv K.G 
Published: November 2022

Abstract
Skin cancer is a major health concern, with 125,000 new melanoma cases diagnosed each year. Every year, approximately 3 million non-melanoma cases are diagnosed worldwide. Initially, skin lesions were diagnosed visually using dermoscopic analysis, clinical screening, and a variety of other methods. It has been observed that inexperienced dermatologists can reduce the diagnostic accuracy of skin lesions. Early detection of skin cancer has the potential to reduce mortality. Previous research has shown that deep learning outperforms human experts in a variety of computer vision tasks.
This paper proposes to develop an ensemble deep learning model to detect skin cancer from lesion images.In this analytical investigation, 10,000 photos from the HAM10000 dermoscopy image database were used, comprising lesions with and without melanoma.The photos were divided into different skin cancer classifications using a number of deep convolutional neural networks.VGG16, VGG19, and ResNet were used as the pre-trained models in an ensemble deep learning approach.
The area under the receiver operating characteristic (ROC) curve for the suggested model was 0.91. A classification accuracy of 86%, sensitivity of 81%, and specificity of 88% were attained using a confidence score threshold of 0.5.
Detecting skin cancer, including melanoma and non-melanoma tumors, has a high potential according to the results of deep learning. Dermatologists can identify skin cancer with the use of the indicated method.As a result, it might hasten cancer detection, which is essential for efficient therapy. The suggested model automatically extracts useful features from the input raw image for categorization.It does away with difficult lesion segmentation and feature extraction processes as a result.
Predicting Stock Prices Using the Random Forest Classifier
Authors: DAORI HIND , ALHARTHI MANAR , ALANAZI ALANOUD , ALZAHRANI GHAIDA , ABOROKBAH MAJED , Aljehane Nojood 
Published: November 2022

Abstract
There is a current trend toward the use of artificial intelligence to get faster and more accurate results , and we have found that investments are one of the areas that tend to predict stock market prices. Therefore , the aim of this study was to predict the most profitable sectors in the stock market and, accordingly, to make recommendations to the best companies in this field. Depending on the stock price, closing price, opening price, and stock value. Making it easier for an investor to choose the best, most profitable sector of the year to invest. Dataset was selected from the famous site Kaggle and was characterized as being modern because it is updated in seconds. Dataset has contained many global companies, such as Apple and Microsoft. Furthermore , to predict the outcome number of machine learning algorithms, we have chosen the straight line algorithm, random forest, and support vector machine to compare the results and choose the best among them. The random forest algorithm had the most accurate (94.12%) success rate because we were able to increase the number of repeats in training, giving a higher accuracy ratio.
ACNN-6mA: Prediction of N6-Methyladenine Loci in Multiple Species Based on Rice Dataset Pre-training Model
Authors: Bai JianGuo , Yang Hai 
Published: November 2022

Abstract
N6-methyladenine is an epigenetic modification that plays a significant role in various cellular processes. Genome-wide monitoring of methylation sites is conducive to understanding the biological function of methylation. Due to the limitations of traditional dry and wet experiments, a series of machine learning and deep learning methods have been developed to detect methylation sites, but their detection species are single or performance is poor. First of all, we conducted sufficient experiments on the widely studied rice datasets, and compared with the previous research, we have greatly improved in various indicators on the two rice datasets. Then we used the models trained on the rice dataset to fine-tune training in half of the other 11 datasets and predict the other half of the independent datasets. Then we used 11 trained models to test 11 species respectively. It was found that ACNN-6mA could obtain higher AUC, ACC and MCC whether cross-species prediction or independent verification set prediction. ACNN-6mA model and code for follow-up researchers is provided as an open-source tool available at https://github.com/jrebai/ACNN-6mA.
Studying the correlation between sleep disorders and cumulative GPA among the medical students of the Syrian Private University
Authors: salibie Mohammad , JAMOUS LILAS AHMAD MAZHAR , Latifeh Youssef 
Published: November 2022

Abstract
Background
Sleep is a complex process. A reversible state of unconsciousness. Some well-known sleep disorders prevalent among medical students are Insomnia, Hypersomnia, nightmares, and Narcolepsy. This study aims at identifying the effects of sleep disorders on the cumulative GPA among the students of the Syrian Private University.
Methods
This student-based cross-sectional study was conducted in March 2022 using the appropriate sampling pattern among medical students of the Syrian Private University. This study was approved by the Institutional Review Board of the Syrian Private University. Written informed consent was obtained from all the participants.
Results
890 students were selected. A statistical significance was found between gender and Insomnia, Affective Disorder, and sleepwalking.
Conclusion
Sleep disorders were found to be influencing factors on the GPA of medical students of the Syrian Private University.
Tramadol Induced Intracerebral Hemorrhage: A rare case report
Authors: Sidow Nor Osman , Osman Mohamed Farah , Hassan Mohamed Sheikh , Ahmed Abdulkadir , Ibrahim Abdiwahid Ahmed 
Published: November 2022

Abstract
Background: Tramadol is a centrally acting synthetic analgesic, chemically related to morphine and codeine. Tramadol abuse is being used by many people with different adverse effects; most likely seizures, and respiratory depression. Some men use tramadol for erectile dysfunction. We report a case of tramadol-induced intracerebral hemorrhage.
Case report: A 36-year-old male with no history of chronic diseases presented to the emergency department with a sudden onset of left-sided weakness. He had no other conventional vascular risk factors such as hypertension, diabetes, or dyslipidemia. A neurological examination showed right gaze preference and mild right facial droop with left-side hemiplegia, and the left Babinski sign was positive. He denied smoking cigars or consuming khat, and he had no family history of stroke. Routine vital signs were normal. The electrocardiogram was normal. And routine blood investigations were normal. NIH Stroke Scale = 22 when he came in. A CT head showed a 53x24 mm hemorrhage in the right basal ganglia region. He had an MRI angiogram, which showed normal intracranial and extracranial vessels. The patient confirmed that he had been using tramadol for two years due to erectile dysfunction.
Conclusion: A previously healthy middle-aged male with no vascular risk factors developed a hemorrhagic stroke. It was reported that he had been using tramadol for two years. So, the patient developed the right basal ganglia due to tramadol addiction. It is the first time in the literature that tramadol-induced intracerebral hemorrhage has been reported.
Resource-saving melon processing technology
Authors: Yerenova Bibipatyma , Medvedkov Yevgeniy , Tlevlessova Dinara , Kairbayeva Ainura 
Published: November 2022

The object of the study is the fruits of melon. The problem is the crop that remains in the fields. The article provides an overview of technologies for the processing of melons, and studies of the authors are given. On the basis of these studies, technological schemes for the production and formulation of such products as jam, jam, confiture, blended juices, vegetable oil from melon seeds were proposed and justified. Optimal additives and ways of introducing pectin into them are determined. The presence in finished products of vitamins of group B, vitamin C, β-carotene, almost all essential amino acids, micro- and macroelements, the content of which does not noticeably decrease during storage under the optimal conditions established by us. Studies have been carried out on the selection of an extractant and the determination of the optimal parameters for extraction, isolation, neutralization and drying of pectin from melon peel. As a result, pectin was obtained with a degree of esterification of 67...69 %, a jelly-forming ability of more than 170 degrees of Tarr Baker, and a jelly strength of about 460 mm Hg
Removal of dissolved organic matter in road runoff by granules prepared using sludge from waterworks
Authors: Du Xiaoli , Tian Dianxi , Yin Zijie , Chen Mengyao 
Published: November 2022

Abstract
This work assessed the elimination of dissolved organic matter (DOM) in road runoff by a granular sludge-clay (GSC) adsorbent. The rates of adsorption were found to be consistent with the pseudo-second-order kinetic model. The data at equilibrium resulted in a maximum adsorption capacity of 4.466 mg/g at 298 K, which was in good agreement with the Langmuir isotherm model. The adsorption of DOM relies on pH. The higher removal efficiency of DOM was observed at pH 4.0 and 7.0. To clarify the related adsorption mechanism, isolated DOM fractions and their removal potentials were identified. The results showed hydrophobic acid (HoA) and hydrophobic neutral (HoN) fractions which contained abundant fulvic-like substances were more preferentially removed by the GSC. The adsorption mechanism of DOM in road runoff by GSC involves both electrostatic attraction and ligand exchange reactions. GSC synthesized using the sludge from waterworks is a very promising filler to replace soils or gravels that can be applied in some green infrastructures for removing DOM from road runoff.
Study of the physical clogging mechanism of sandstone geothermal tailwater recharge
Authors: Wang Jianzhong , Wang Xiangtao , Xu Qingfa , Tian Suo , Huang Yue 
Published: November 2022

Abstract
An important part of geothermal development is the re-injection of waste geothermal fluids into the reservoir, which can extend the life of the geothermal resource. However, the difficulty of recharge and the clogging problem in the recharge process are still a worldwide problem that restricts the sustainable development and utilization of sandstone geothermal reservoirs. The main factor affecting the recharge effect is physical clogging. In this paper, a series of simulation experiments were conducted to study the physical clogging in the recharge process of sandstone thermal storage in the Lubei area, which conclude that the degree of clogging is related to the particle size and concentration of suspended matter. At a certain particle size, the clogging is most serious when the experimental suspended matter concentration gradient is up to 140 mg/L. In addition, particle migration in clogging is related to the recharge flow rate, and the critical flow rate is 0.75–2 mL/min, which is experimentally derived, and it is recommended that the recharge rate should be controlled below 0.75 mL/min during the actual recharge. This paper provides a scientific basis for the efficient recharge of geothermal tailwater through the study of the clogging mechanism.
Study of sewage oxygenation treatment based on gas magnetization mechanism
Authors: Zhao Keli , Wu Hui , Zhao Xianghe , Liu Yuqi , Yu Aiwei , Man Zunhai 
Published: November 2022

Abstract
In the process of sewage treatment, the sewage usually needs to be aerated, so the oxygenation efficiency is an important indicator for the aerator. The general oxygenation technique is to inject large amount of natural air into the aeration tank over long time, which has lower efficiency and leads to dramatic waste of energy. Based on the gas-liquid fusion mass transfer model and combined the oxygen enrichment mechanism by magnetization of the gas into the aerator, a novel method to improve the efficiency of wastewater oxygenation is proposed. This method is based on the fact that oxygen and nitrogen exhibit completely different magnetic characteristics in gradient magnetic fields, and then the special shaped permanent magnets can be used to build a target gradient magnetic field to increase the oxygen content as the gas is injected into the sewage by the aerator, which reaches the oxygenation enhancement effect. Through theoretical analysis and experiments, it is concluded that the efficiency of sewage oxygenation treatment is dramatically improved with the permanent magnet oxygen enrichment technique.
Funding the High-Speed Rail: A Case Study of the California Project
Authors: Chandra Shailesh , Mishra Vivek 
Published: November 2022

Introduction:
High-speed rail (HSR) projects are considered high-stake investments– both in construction, operation, and maintenance. Thus, HSR requires financing from various sources - public, private or a mix of both, as the case maybe. Traditional funding for HSR has usually been the public funds through various bonds and taxes. However, public funds are not easy to come by and are usually subjected to strict audits and reviews. Therefore, alternative funding sources are always sought after, especially those that are sustainable.

Methods:
A multiobjective optimization problem is proposed in this paper encompassing revenue generation, accessibility maximization and workforce-centric access measure (WAM) consideration for financing HSR development costs and justifying its purpose. The procedure identifies key HSR stations that could be developed and improved to positively increase revenue collected through taxes on surrounding properties that appreciated due to the HSR, or the appreciation that either occurred through accessibility increase or WAM considerations from the HSR.

Results and Discussion:
Such key stations that score high in one or more of these considerations could be considered for further development by policymakers and planners. Based on the multiobjective optimization problem proposed in this paper, and with the California HSR as an example, the three proposed stations of San Francisco Transbay Terminal, University City and Downtown Merced are recommended to be developed and improved to attract economic growth with the HSR line.

Conclusion:
The findings could help authorities focus on these stations (and similar others) for a sustainable means of at least partially funding California’s HSR project.
Refurbishment of Existing Building toward a Surplus Energy Building in Jordan
Authors: Alrwashdeh Saad S. , Ammari Handri , Jweihan Yazeed S. , Abu Qadourah Jenan , Al-Kheetan Mazen J. , Al-Falahat Ala’a M. 
Published: November 2022

Introduction:
Energy consumption rates in residential buildings rely heavily on the modularity of construction.

Methods:
Traditional building models in Jordan are considered the dominant models in which modern technology is not taken into account in building in order to reduce energy consumption. Recently, interest in modern construction schemes has appeared in Jordan with the intention of saving energy because of its high costs. The objective of this research is to help convert a building in Amman into one that generates more energy than it needs in what is known as surplus energy buildings.Several retrofit systems were considered for this purpose, including insulation, water heating, lighting, air recycling, and photovoltaic systems. This work was handled through a detailed calculation based on the basic fundamental of each subsystem used in the refurbishment process. using refurbishing techniques, the estimated payback period was found 5.08 years for all integrated systems.

Results:
The work started with a closer look at the reality of energy use in the residential sector based on the reports provided by the Ministry of Energy and the National Electricity and Energy Company.

Conclusion:
Afterward, the study sample was decided to be home in the city of Amman - Jordan, then several suggestions for improving and verifying ways to conserve energy were discussed.