bluuebunny/crossref_metadata_2025_split huggingface dataset:
“Someone to Talk to”: A Qualitative Study of Oncology Trainees' Experience of Mentorship around Moral Distress
Authors: Preti Beatrice , Wood Sarah 
Published: August 2023

Abstract
Purpose
Moral distress is an intrinsic part of healthcare, particularly prevalent in oncology practitioners. Previous studies have suggested mentorship may play a role in combatting moral distress; however, there is a lack of good evidence aimed at understanding trainees’ experience with either mentorship or moral distress, including the intersection between the two.
Materials and Methods
We conducted a single-centre study in the hermeneutic phenomenological approach at a Canadian academic cancer centre. Six semi-structured interviews with senior oncology trainees were conducted and analysed according to the interpretive profiles hermeneutic phenomenological approach.
Results
Key findings include the idea that trainees do find mentorship valuable and helpful in navigating moral distress, which is described as common and inevitable, with a number of triggers and factors identified. However, a mentorship relationship must involve mutual respect, understanding, and honesty in order to be valuable. Additionally, engaging in open, honest discussions with mentors, particularly more senior individuals, is seen as a risk-benefit balance by trainees; vertical mentors bring more wisdom and experience, but may also have a greater impact on a trainee’s future.
Conclusions
This thought-provoking study highlights mentorship as a potential method to combat the troubling phenomenon of moral distress in oncology trainees.
Predatory efficacy of three predatory mites against Megalurothrips usitatus
Authors: Li Haolong , Zhu Bifeng , Ali Shaukat , Wu JianHui 
Published: August 2023

Abstract
Megalurothrips usitatus is a major insect pest of leguminous crops in southern China which causes great economic losses every year. Predatory mites are well known insect natural enemies which have been applied to control different insect pests including thrips species. The functional response and intraspecific interference of one native predatory mite species (Lasioseius youcefi) and two exotic species (Neoseiulus californicus, and Amblyseius cucumeris Oudemans) feeding on first instar nymph of M. usitatus were examined under laboratory conditions to identify the control potential of above-mentioned mite species. The results showed that the functional responses of the three predatory mites against M. usitatus fitted to Holling-Ⅱ equation. The extent of predation gradually stabilized with increasing prey densities. L. youcefi was the strongest predator with highest searching efficiency whereas A. cucumeris was the weakest. At fixed M. usitatus density, the average predation of all mite species decreased gradually with the increase of their density showing an intraspecific interference. The findings of our study confirmed that native species of L. youcefi has certain advantages and higher control potential over other predatory mites for M. usitatus management.
RPRsHN: Research Paper Recommendations based on the Heterogeneous Networks using Personalized Weight of meta-paths and Impact Factors
Authors: R Mahesh T , V Vinoth Kumar , M Karthik Raghunath K , V Vivek 
Published: August 2023

AbstractMillions of research papers are available to users from various digital libraries. Finding relevant research that fits a researcher's tastes is therefore a difficult process. As a result, various paper recommendation models have been put out to deal with this problem. The previous studies have concentrated on only the historical preferences of the users. The diversified user preferences as well as interests of the users were not given enough priorities. We recommend a technique for making tailored paper recommendations that includes various preferences and users’ interests. In order to understand user preferences, we look into meta-paths in the network. We use random walks over meta-paths to calculate the recommendation scores of potential papers for the intended users. Then we use Bayesian Personalised Ranking and a personalised weight learning technique to identify a user's personalised weights on various meta-paths. Combining the scores of recommendation from several meta-paths with customized weights yields a global recommendation score. The proposed model performs better than existing state-of-art models.
A novel in vivo model of ureteral fibrosis induced by calcium oxalate beads in C57BL/6J mice
Authors: Watanabe Masaki , Ando Ryo , Sugisawa Ryoichi , Sasaki Nobuya , Iwai Satomi 
Published: August 2023

Abstract

The global incidence of ureteroliths in humans is increasing, particularly posing a problem in developed countries. The most common stone type is calcium oxalate, which is associated with a high recurrence rate. In veterinary medicine, stones are the most common cause of ureteral obstruction in cats, accounting for 72–87% of cases. In cats, stones cause irreversible ureteral damage, necessitating stone treatment as well as ureteral therapy. However, the mechanisms underlying the ureteral damage caused by stones remain unclear. Therefore, this study aimed to create a mouse model suitable for studying the ureteral fibrosis caused by oxalate stones by artificially embedding calcium oxalate in the ureter. Pathological tissue analysis was used to compare normal ureters without ligation and ureters with sham or oxalate bead implantation. The ureters of the sham and oxalate bead groups showed granulation tissue formation, transitional epithelium exfoliation, and densely packed connective tissue in the proprietary and muscle layer regions. Particularly in the oxalate bead group, infiltration of degenerated neutrophils, presence of foreign body giant cells, and hyperplasia of the transitional epithelium were observed. The proportion of fibrosis was higher in the oxalate group than in the sham group. Overall, this mouse model created using oxalate bead implantation has the potential to efficiently induce ureteral obstruction. This mouse model is expected to be used for elucidating the molecular mechanisms of ureteral fibrosis and evaluating therapeutic drugs in future.
Antigenic diversity and dengue disease risk
Authors: Wang Lin , Huang Angkana , Katzelnick Leah , Lefrancq Noémie , Escoto Ana Coello , Duret Loréna , Chowdhury Nayeem , Jarman Richard , Conte Matthew , Berry Irina , Fernandez Stefan , Klungthong Chonticha , Thaisomboonsuk Butsaya , Suntarattiwong Piyarat , Vandepitte Warunee , Whitehead Stephen , Cauchemez Simon , Cummings Derek , Salje Henrik 
Published: August 2023

Abstract
Many pathogens continuously change their protein structure in response to immune-driven selection, resulting in weakened protection. In addition, for some pathogens such as dengue virus, poorly targeted immunity is associated with increased risk of severe disease, through a mechanism known as antibody-dependent enhancement. However, it remains a mystery whether the antigenic distance between an individual’s first infection and subsequent exposures dictate disease risk, explaining the observed large-scale differences in dengue hospitalisations across years. Here we develop an inferential framework that combines detailed antigenic and genetic characterisation of viruses, and hospitalised cases from 21 years of surveillance in Bangkok, Thailand to identify the role of the antigenic profile of circulating viruses in determining disease risk. We find that the risk of hospitalisation depends on both the specific order of infecting serotypes and the antigenic distance between an individual’s primary and secondary infections, with risk maximised at intermediate antigenic distances. These findings suggest immune imprinting helps determine dengue disease risk, and provides a pathway to monitor the changing risk profile of populations and to quantifying risk profiles of candidate vaccines.
Estimation of the Burr-XII Distribution Parameters using the Runge-Kutta Method based on Interval-Censored Data
Authors: Maswadah M. 
Published: August 2023

Abstract
In parameter estimation techniques, the Bayes’ method is the most usable technique for estimating distribution parameters, despite being subjective to prior information. Thus, the main objective of this paper is to present an optimal technique using the Runge-Kutta method to find the point estimators for Burr -XII model parameters, based on interval-censored data, and compare them with the Bayesian estimates based on the informative and kernel priors, via Monte Carlo simulations. The simulation results indicated that the Runge-Kutta method is highly favorable, which provides better estimates and outperforms the Bayesian estimates using different loss functions. Finally, real data analyses are presented to demonstrate the efficiency of the proposed methods.
Prevalence of Tuberculosis in children using Gene Xpert on Gastric lavage samples
Authors: Chisompola David , Chanda Priscah , Moono Roy , Chakopo Moses , Chipengwe Patrick 
Published: August 2023

Abstract

Background
Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), affects the lungs, kidneys, spine, and brain, has a significant global health challenge affecting 10–20% of children. Zambia is ranked in thirty countries with heavy burden. Early detection and intervention are crucial for managing the disease and preventing its progression to severe forms.
Objective
The aim of this study was to assess the prevalence of tuberculosis among children aged 0 to 10 years at the Arthur Davison Children's Hospital in Ndola, Zambia. The study specifically focused on children with coughs, and the preferred gastric lavage technique was used for sampling.
Methodology:
A cross-sectional study was conducted, we enrolled 138 children who were assessed using a structured questionnaire. To diagnosis TB, we employed x-rays and GeneXpert analysis of gastric lavage samples collected from January 2022 to February 2022.
Results
The results revealed that out of the 138 participants, 119 (86.2%) tested negative for mycobacterium tuberculosis, while 19 (13.8%) tested positive. GeneXpert detected 2 out of the 19 positives (1.4%), whereas chest x-ray identified all 19 positive cases (100%). Males showed a higher prevalence of MTB (52.6%) compared to females (47.4%), and the 0–4 age group had a higher MTB prevalence of 13 cases (68.4%) compared to 6 cases (31.6%) in the 5–10 age group.
Conclusion
In conclusion, the study showed a low prevalence of MTB (1.4%) in children under 10 years when using GeneXpert with gastric lavage samples. However, chest x-ray outperformed GeneXpert in detecting positive cases. The potential issues with the cumbersome process and the influence of gastric lavage sample acidity raise concerns about GeneXpert's effectiveness as the preferred choice for TB diagnosis in this population.
A Recommendation Model Based on Deep Feature Representation and Multi-Head Self-Attention Mechanism
Authors: Wilson Matilda , Wellington Bernd , Merrick Atticus , Huxley Imogen 
Published: August 2023

Abstract
Recommender systems analyze user attributes and historical behaviors to understand user needs and filter and select the content they want. Recommender systems have been proposed since the 1990s and have been studied to adapt to various domains. Nowadays Recommendations are now essential for the growing e-commerce, as well as for everyday entertainment such as music, movies, socializing, and networking. In recent years, deep learning technology has become a hot trend, which effectively solves the difficulty of combining features manually in traditional machine learning by automatically learning high-level feature representations. It also brings new challenges and opportunities for the development of recommendation systems. From traditional recommendation models to deep recommendation models, from manual feature engineering to automatic feature engineering, and from low-order features to high-order feature learning, recommender systems have been continuously developed and innovated. In addition, nowadays recommender systems are constantly personalized and scene-oriented, and recommender systems under various scenarios have appeared one after another, for example, social network-based recommendation, scenario-aware recommendation, geographic location-based recommendation, etc., and recommender systems are moving towards diversified and personalized development. In this paper, we explore the feature representation in current recommendation algorithms in the application scenario of video recommendation. Efficient feature representations can mine the user's hidden information and thus improve the accuracy of recommendations. An attention mechanism is introduced to propose a deep collaborative filtering recommendation model based on attention. Extensive experiments on real datasets validate the effectiveness of the model recommendations.
Emergent constraint on the projected central tropical Pacific warming and northwestern Pacific monsoon trough change
Authors: Tang Tao , Qi Li , Tozuka Tomoki , Luo Jing-Jia , He Jinhai 
Published: August 2023

Abstract
The northwestern Pacific monsoon trough (NWPMT) deeply impacts socio-economic development and human security over East Asia by supplying moisture to the summer monsoon rainfall and modulating tropical cyclone activities. However, considerable inter-model spreads in the Coupled Model Inter-comparison Project Phase 6 models make the future projection of the NWPMT less reliable. Here, we find that the inter-model spread of the NWPMT change is significantly correlated with the central equatorial Pacific sea surface temperature change, and mainly determined by the equatorial thermocline sharpness in the historical simulations. According to the emergent constraint method, the central equatorial Pacific SST would warm up about 8% slower than the multi-model mean with 56% uncertainty reduced. Correspondingly, the NWPMT would slacken westward with 36% uncertainty reduced. Results here emphasize the importance of examining and reducing systematic model biases in simulating subsurface fields that have been overlooked in past literatures, before achieving more reliable future projections.
Implementasi Dashboard Untuk Visualisasi Data Penerimaan Mahasiswa Baru Studi Kasus : Universitas Kristen Duta Wacana
Authors: Priskilla Vanesha Glorya , Oslan Yetli , Ernawati Lussy 
Published: August 2023

New Student Admissions activities at an University needs to be monitored to determine the performance of Admission and Promotion. Admission data can be processed and analyzed to determine the expo destination schools, promotion locations, and appropriate potential areas. In addition, the results of Admission data processing can be used to determine the fluctuation of enthusiasts in the Majors from previous periods or the comparison of the number of enthusiasts between Majors. For that reason we need a dashboard as a tool to help user for analyze, monitor and be taken into consideration in making strategic decisions related to Admission activities. The implemented dashboard consists of a collection of information that is visualized in graphs and numbers. The users of the dashboard are employees of the Admissions and Promotion Unit, Head of Majors for each department, and Administrators.
There are 6 dimensions displayed in the dashboard, namely time, region, test route, path transfer, prospective students, and school origin. The data of new student admissions is processed and stored into the data warehouse through the ETL process. Furthermore, the data warehouse is used as data storage for the implementation of a web-based dashboard application using the PHP programming language. The implemented dashboard consists of Admission information that is visualized into charts and numbers. the graphs that used in PMB data visualization include bar charts, doughnut charts, pie charts, column charts, line charts, and map charts.
Aerodynamic characteristic analysis of wind turbine blades based on CSA-KJ airfoil optimization design
Authors: Xu Yiqing , Zhang Jianping , Liu Ming , Zhang Pengju , Wang Liquan 
Published: August 2023

In order to enable the offshore wind farm to produce electric energy efficiently, stably and economically, the optimization method of CSA-KJ airfoil is proposed, and the optimized CSA-KJ4412 airfoil is obtained, and the aerodynamic characteristics of the airfoil are compared and analyzed. Combined with Wilson method, the high-power CSAKJ4412-08 wind turbine blade is designed, the flow field characteristics of the blade under different working conditions are simulated and analyzed, and its power is verified. The results show that compared with the NACA4412 airfoil, the average lift-drag ratio coefficient and the maximum value of the CSA-KJ4412 airfoil increase. Meanwhile, the pressure distribution rises, and the aerodynamic characteristic is better. The fluid around CSAKJ4412-08 blade at different attack angles is attached to the blade surface tightly for adhesive flow, and no stall phenomenon is identified. The pressure on the suction and pressure surfaces for the optimized CSAKJ4412-08 blade shows an opposite trend as the wingspan in-creases, leading to an increase in the pressure difference between the upper and lower surfaces, thereby improving the lift of the blade. In the range of –30° to 30° attack angle, the power of CSAKJ4412-08 blade increases first and then decreases as the attack angle rises, and the ratio of the maximum power to the rated value reaches 71.38 %, indicating that the optimized CSAKJ4412-08 blade exhibits better aerodynamic characteristics. The relevant results can provide technical reference for the optimal design of wind turbine blades.
Integration of TADOX® technology to improve water reuse efficiency of constructed wetland-treated water
Authors: Bahadur Nupur , Bhargava Nipun , Sarkar Shyamal Kumar , Dhawan Vibha 
Published: August 2023

Abstract

Constructed wetland (CW) is an effective and economical decentralized wastewater treatment (DWWT) method implemented in various developing nations. Such CW-treated water may be good for meeting discharge norms but when it comes to high-end reuse, it requires polishing and integration with advanced oxidation process (AOP)-based treatment. In this pursuit, TERI (The Energy and Resources Institute) Advanced Oxidation Technology (TADOX®) may be able to polish such streams and make the CW-treated water reusable. TADOX utilizes UV-TiO2 Photocatalysis (PC) as a secondary treatment followed by nanomaterial recovery. This study aims at evaluating TADOX treatment to polish treated water from a root zone treatment (RZT) plant. Performance evaluation of the treatments is evaluated based on key parameters for treated sewage water such as chemical oxygen demand (COD), biochemical oxygen demand (BOD), suspended solids, color, pathogens (total and thermotolerant coliforms), and persistent organic pollutants (POPs) such as caffeine, acetaminophen, ibuprofen, and diclofenac.
Visible light treatment of azo dye-contaminated water by Ni- and Co-doped-ZnO nanoparticles supported on carbon-covered alumina
Authors: Folawewo Abayomi D. , Bala Muhammad Dabai 
Published: August 2023

Abstract

Metal-ion (Co and Ni)-doped-zinc oxide (ZnO) nanocatalysts were successfully embedded onto carbon-covered alumina (CCA) supports via a simple, green sol–gel technique. The nanocatalysts were characterised by various analytical, microscopic, and spectroscopic techniques. The CCA-embedded nanocatalysts were crystalline with high surface areas and pore volume compared to the free metal-ion–doped-ZnO nanocatalysts while retaining the wurtzite phase of the core ZnO. The influences of the dopant content and the CCA on the optical and dye removal activities of the ZnO were investigated. The materials were photo-catalytically active under visible light irradiation. Congo red and methyl orange dyes were used as model pollutants, and the reactivity followed a pseudo-first-order reaction kinetics. The reaction rate of the CCA-supported nanocatalysts showed doping with Co &gt; Ni. The CCA/metal-ion-doped-ZnO was found to have photocatalytic activities better than the CCA-supported ZnO.
Diversity and Community Structure of Dragonflies (Odonata) in Various Types of Habitat at Lakarsantri District, Surabaya, Indonesia
Authors: Susanto Muhamad Azmi Dwi , Firdhausi Nirmala Fitria , Bahri Saiful 
Published: August 2023

Dragonflies are insects that are very dependent on the existence of freshwater ecosystems, However, the population of dragonflies in urban freshwater ecosystems is at risk due to a number of issues. Consequently, it is essential to carry out research and efforts to preserve dragonflies in urban areas. This study aims to provide information about the diversity and structure of dragonfly communities in various habitat types in the Lakarsantri, Surabaya. Data collection in this study was carried out in the habitat types of ponds, reservoir, river, and rice field in July to September 2021. The study results show there are 22 species from 4 families with a total of 827 individuals. Analysis of the Shannon-Wiener diversity index showed that the highest value of dragonfly diversity was found in a pond, with a value of H' = 2.40, and the location with the lowest value was a river, with a value of H' = 1.77. At four research locations that have different aquatic ecosystems, the community structure of dragonfly is also different. The composition of the dragonfly community structure at the reservoir location has similarities to a pond, and at a river location, it has similarities to a paddy field. Differences in abiotic factors consisting of light intensity, humidity, and temperature at each study location have a correlation with differences in dragonfly community structure. In addition, the composition of the vegetation at each location is also one of the factors causing differences in the structure of the dragonfly community.
Isolation and Characterization of Rhizospheric Bacteria Associated with Canna Plant for Production of Maltooligosaccharide Amylase
Authors: Agustiani Rina Dwi , Oedjijono Oedjijono , Rahmani Nanik , Ekowati Nuraeni 
Published: August 2023

The objectives of the study were to isolate amylolytic bacteria from the rhizosphere and plant tissue of Canna edulis Ker., as well as litter; to know oligosaccharide compounds produced from starch hydrolyzed by the bacterial enzymes, and to identify the amylolytic bacteria based on phenetic and 16S rRNA gene sequences. From the rhizosphere, Canna plant tissue, and litters obtained thirty-two amylolytic bacterial isolates. Eight isolates (TH6, TH7, T5, T10, D2, D3, A3, S1) produced high clear zone diameters ranging from 18-30 mm; especially an isolate T10, which was consistent in producing a total clear zone diameter of 20 mm. The hydrolysate of starch hydrolysed by the T10 amylase resulted in three oligosaccharide compounds maltotriose, maltotetraose, and maltopentose. The amylase activity of isolate T10 was optimal at a temperature of 40°C and pH at 0.801 U/mL. The isolate T10 was identified as a species member of Bacillus toyonensis based on phenotyphic characterization and 16S rDNA gene sequencing analysis with a similarity value of 99.93%