bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of professional wrangles among eye care providers in Kenya on refractive error service delivery
Authors: Muma Shadrack , Optometry Shadrack Muma 
Published: June 2023

Abstract
Purpose:To evaluate the impact of professional wrangles among eye care providers in Kenya on refractive error service delivery.
Methods: This was a cross-sectional prospective study conducted between January-June 2022. The study participants included 100 optometrists. The data was collected through interviews. Purposive sampling was used to recruit the participants. Descriptive statistics were presented using frequency, percentages and with p-values. Thematic analysis was carried out for qualitative data.
Results: Out of the 102 participants, 37 (36.3%) were female. The mean age for the participants was 30.5 years with majority being in the age group 30-34 years. There was no statistically significant difference between the ages and gender (p=0.132). Most participants 82 (80.4%) had practiced for more than 4 years. There was no statistically significant difference between years of operation and gender (p=0.09). The wrangle themes included mistrust, monopoly, specialty and threat. The impact themes included confusion and wrong perception, poor service delivery and negative attitude.
Conclusion: The burden of refractive error requires that professionals within the eye care should engage in team work. Professional wrangle impact negatively on refractive error service delivery and if such wrangles are not addressed appropriately then the mission for elimination of refractive error may not be achieved globally.
Role of ultrasound and inflammatory factors in the management of pediatric hip joint effusion
Authors: alamdaran Seyed Ali , nejad mohadeseh Tahey , Nouri Ahmad , Khoroushi Farzaneh , Aalami Mohammad Hasan , malek abdoreza , mohtasham Arezou 
Published: June 2023

Abstract
Background:
Septic arthritis is an important differential diagnosis of hip joint pain. Joint aspiration analysis is a necessary diagnostic measure for septic arthritis. In order to reduce the need for joint aspiration, we compared the combination of ultrasound findings and laboratory findings to separate septic arthritis from reactive arthritis.
Methods: Children aged <14 years who were referred to Akbar pediatric hospital in 2020-2022 with hip pain or limping were included in this longitudinal study. Participants underwent ultrasound examinations of the hip and blood samples were obtained from them. After confirming an effusion, dependent on patient status and clinical diagnosis, one of the following approaches was recommended; the close follow-up, or the ultrasound-guided aspiration of the hip joint effusion, and or arthrotomy. The various ultrasound and laboratory were documented. Data were analyzed and P<0.001 being considered statistically significant.
Results: Overall, 115 patients with a mean age of 3.43 ± 5.76 years, 46 of whom were girls, were studied. The final diagnosis in 23 cases (20.0%) was septic arthritis and 92 (80.0%) had reactive arthritis. Serum CRP and ESR unlike aspirate volume, effusion volume measured on ultrasound, capsule thickness, total thickness, and recorded capsule-to-effusion ratio were significantly higher in patients with septic arthritis (P<0.001). There was a significant agreement between the volume of measured fluid in the anterior recess and the volume of aspirated fluid (2.5 times, P<0.001). Septic arthritis was not observed in any of the patients with effusion volume in anterior recess less than 0.5cc and ESR less than 40 or CRP less than 15.
Conclusion:
Since septic arthritis was not observed in any of the patients with effusion volume <0.5cc and normal inflammatory factors (ESR or CRP), conservative management and close follow-up can be recommended in these patients instead of joint fluid aspiration.
The application of IUCN Red List criteria at the national level: a case study of non-Haplochromis fishes in Uganda
Authors: Akoth Dorothy , Musinguzi Laban , Efitre Jackson , Muyodi Fredrick Jones , Natugonza Vianny 
Published: June 2023

Abstract
Assessing the conservation status of species according to their extinction risk is a major step in conservation planning. To date, most of the assessments have been conducted at a global scale; yet, most conservation efforts are conducted at the national or local scale. Also, the global assessments often do not fit individual countries whose biodiversity may have unique threats that are specific and distinct from those at the global level. Elsewhere, this problem has been addressed by developing national Red Lists; in Uganda, this approach is also taking root, except that it has only focused on terrestrial biota, with limited attention to freshwater biodiversity. To address this gap, we used species occurrence data, integrated with expert knowledge and literature, to assess the extinction risk of 110 non-Haplochromis fishes in Uganda at a national scale. Then, we compared these assessments with the IUCN global red list categories published by 2021. The national threat classifications differed substantially from those at the global level; specifically, more species were threatened at the national level than at the global level. Generally, this finding was expected as has been observed elsewhere, but for the case of Uganda, it was only expected for species with a wide distribution beyond the national boundaries and not for fishes that are geographically restricted, where the global and national threat statuses are expected to be comparable. This finding underscores the importance of national assessments even when species are designated as “Least concern” at the global level. This study constitutes the first national red list for fish species in Uganda. This work has the potential to (i) trigger site-based conservation and rethinking of the extent of protected areas, (ii) stimulate data collection, especially in areas where fishes are designated as “Data Deficient”, and (iii) aid updating of the regional and global IUCN Red List assessments, for which conservation status of the majority non-Haplochromis species is outdated and many others remain unevaluated.
Identification of the Driving Factors Impacts of Land Surface Albedo over Iran: An Analysis with the MODIS Data
Authors: KefayatMotlagh OmidReza , Darand Mohammad 
Published: June 2023

Abstract
Albedo is a key parameter in climatic research and depends on environmental and climatic factors. Modeling these factors greatly contributes to understanding environmental variations. To this end, the data of Land Surface Albedo, Land Surface Temperature (LST), Vegetation, Snow, Elevation, Slope, and Aspect of the MODIS sensor from 1/1/2001 to 30/12/2021 with a 1000-meter spatial resolution were used. After pre-processing, monthly, seasonal, and annual albedo modeling was performed using multiple linear regression (MLR) in the highlands of Iran. The results of monthly modeling revealed the salient direct role of snow on the albedo of Iran's highlands in all months, except for July, August, September, and October. In these months, due to the lack of snow coverage and the fruiting of agricultural lands and gardens, the inverse role of vegetation on albedo variations is determining. Seasonal examinations also showed that snow plays a significant role on the albedo of Iran's highlands in winter, spring, and fall; however, vegetation has a determining role in the summer. The annual results indicated that snow, vegetation, elevation, slope, LST, and aspect, respectively, are the factors affecting albedo in the highlands of Iran. Furthermore, the role of snow, LST, and aspect is positive, while the role of vegetation, elevation, and slope is negative on albedo.
Micro flower-like Hierarchical Mo2C/Co@N-C (N-doped carbon) for efficient bifunctional electrocatalyst
Authors: Kim Hee Soo , Lim Ahyoun , Woo Mino , Lee Hae In , Gu Yunjang , Lim Dong-Ha 
Published: June 2023

Abstract
The development of low-cost and high-efficiency electrocatalysts for the water-splitting reaction to produce oxygen and hydrogen from alkaline electrolytes remains a major challenge, especially from the perspective of realizing fast and efficient oxygen evolution reaction (OER) and hydrogen evolution reaction (HER) catalysts, and it is important to improve the performance of these reactions through rational catalyst design. In this study, Co-based heterostructures composed of cobalt (Co) and molybdenum carbide (Mo2C) nanoparticles with micro-flower-like structures were intentionally designed as precursors for OER and HER electrocatalysts. In particular, during polymerization, nanoparticle (metal precursor) ions and dopamine aggregates combined to grow into nanoflakes and retained their structure after carbonization, forming micro-flower-like structures characterized by high specific surface area and porosity. The catalysts with hierarchical heterostructures constructed using this unique structure showed activities similar to those of the commercially available IrO2 and Pt/C catalysts, reaching current densities of 10 mA/cm2 for OER and HER in 0.1 M KOH and exhibiting good durability. Therefore, our results present new concepts for the structuring and fabricating catalysts to realize efficient OER and HER kinetics, and we expect that they will be utilized in the energy conversion field.
Levels and composition of microplastics and microfibers in the South Saskatchewan River and stormwater retention ponds in the City of Saskatoon, Canada
Authors: Kumayon Iyanu , Prajapati Saurabh , Brinkmann Markus , Kahan Tara F. 
Published: June 2023

Abstract
In recent decades, contamination of the environment with microplastics and microfibers has been recognized as a pervasive and ubiquitous issue of global concern. While much research in this field has been undertaken in marine environments, more recent studies have identified rivers as major conveyors of plastic pollution from terrestrial into marine systems. However, reports on the levels and composition of microplastic and microfiber contamination in rivers of the Canadian prairie region, specifically the South Saskatchewan River (SSR), are scarce, which leaves this vital source of water for societies and ecosystems in a vulnerable state. To fill this gap, we obtained samples from seven sites along the Saskatchewan portion of the SSR, as well as three stormwater retention ponds (SRP) in the city of Saskatoon during the spring, summer, and fall of 2020. We used optical and Raman microscopy to enumerate and characterize particles in these samples. Total levels of particles and fibers in all samples ranged from 32 to 116 particles m− 3. Most particles (approx. 77%) were natural fibers, while polymers accounted for the remaining 33%. Average microplastic levels were lower (3.18 ± 3 particles m− 3) downstream of Lake Diefenbaker, a large reservoir on the SSR, compared to upstream (12.0 ± 9 particles m− 3). Retention of microplastics in the reservoir could explain the lower mean microplastic concentration of 4.43 ± 3 particles m− 3 recorded in the SSR compared to mean concentrations of 26.2 ± 18 particles m− 3 reported in the North Saskatchewan River, which is not dammed. This study is among the first to describe microplastic and microfiber levels in the SSR and thereby helps improve our understanding of this pervasive environmental contaminant on the Canadian prairies.
A module classification method for light industrial equipment based on improved NSGA2-FCM algorithm
Authors: Hui Zheng , Hanwen Guo , Tonglin Pang , Zijian Guo , Xiao Guo 
Published: June 2023

Abstract
To solve the problem that the traditional clustering algorithm tends to fall into local optimum when dividing modules, the initialization strategy of NSGA2 algorithm is improved, and an improved NSGA2-FCM algorithm is proposed for clustering analysis in combination with FCM algorithm. First, FBS mapping is used to model the functional structure of the product system and identify the relationship between the functional structures of the product. Secondly, the relevant synthesis matrix is constructed based on the relationship between the driving factors of module division, and finally, the improved NSGA2-FCM algorithm is used to cluster the product to arrive at the best module division solution. The paper concludes with a case study of a beer fermenter to verify the effectiveness of the algorithm for modular classification of light industrial equipment.
Noninvasive blood pressure measurements significantly under-estimated blood pressure in a patient with severe preeclampsia:a case report
Authors: Han Kun , Gu Juan , Yu Chao 
Published: June 2023

Abstract
Background
Diagnosis and successful management of preeclampsia depend on accurate and current blood pressure (BP) measurement. We will present a case of non-invasive blood pressure (NIBP) significantly under-estimated BP in a patient with chronic hypertension with superimposed preeclampsia.
Case presentation
A 33-year-old gravida 1, Para 0 at 27 weeks of gestation presented to the emergency room with a 14-hour history of blurred vision. She was diagnosed with chronic hypertension with superimposed preeclampsia, incomplete HELLP syndrome and abnormal umbilical cord blood flow. Magnesium sulfate and dexamethasone was administrated. Oral labeolol, nitroglycerin and urapidil were continuously infused based to control NIBP, and emergency cesarean section was planned. When she arrived at the surgery room, left radial intra-arterial blood pressure (RIBP) was 190/112 mmHg. However, the NIBP of left arm was 155/105 mmHg. Intraoperative blood pressure was managed according to the RIBP. When the patient was transferred from the transport bed to the bed of intensive care unit, the NIBP showed 120/70 mmHg, while the RIBP was 180/110 mmHg. Then treatments of spasmolysis, antihypertension and sedation were performed, and difference between the NIBP and RIBP progressively decreased.
Conclusions
NIBP may significantly under-estimated actual BP in severe preeclampsia patients with poorly controlled maternal BP. Invasive blood pressure monitoring of small arteries such as radial artery and dorsalis pedis artery may be benefit for effective perinatal BP control in patients with severe preeclampsia. If this can improve severe preeclampsia mother and baby’s health need further study.
Generation of parthenocarpic tomato plants in multiple elite cultivars using the CRISPR/Cas9 system
Authors: Nguyen Cam Chau , Vu Tien Van , Shelake Rahul Mahadev , Nguyen Nhan Thi , Khanh Tran Dang , Kim Jae-Yean 
Published: June 2023

Abstract
Tomato (Solanum lycopersicum L.) is one of the most important crops in the world for its fruit production. Advances in cutting-edge techniques have enabled the development of numerous critical traits related to the quality and quantity of tomatoes. Genetic engineering techniques, such as gene transformation and gene editing, have emerged as powerful tools for generating new plant varieties with superior traits. In this study, we induced parthenocarpic traits in a population of elite tomato (ET) lines. At first, the adaptability of ET lines to genetic transformation was evaluated to identify the best-performing lines by transforming the SlANT1 gene overexpression cassette and then later used to produce the SlIAA9 knockout lines using the CRISPR/Cas9 system. ET5 and ET8 emerged as excellent materials for these techniques and showed higher efficiency. Typical phenotypes of knockout sliaa9 were clearly visible in G0 and G1 plants, in which simple leaves and parthenocarpic fruits were observed. The high efficiency of the CRISPR/Cas9 system in developing new tomato varieties with desired traits in a short period was demonstrated by generating T-DNA-free homozygous sliaa9 knockout plants in the G1 generation. Additionally, a simple artificial fertilization method was successfully applied to recover seed production from parthenocarpic plants, securing the use of these varieties as breeding materials.
Relationship between teamwork climate, job satisfaction and healthcare quality: A cross-sectional study
Authors: Liao Mao-Hung , Wu Shih-Wang , Lee Chien-Ying , Shieh Shwn-Huey , Tsai Yafanag 
Published: June 2023

Abstract
Background: Healthcare organisations often require employees from different departments to provide healthcare services to patients. While existing research has focused on the effect of teamwork on healthcare and team members’ outcomes, the present study explores the relationship between hospital employees’ perception of teamwork climate, job satisfaction and healthcare quality.
Methods: This cross-sectional study examined hospital employees’ perception of teamwork climate, job satisfaction and healthcare quality. The sample included a regional teaching hospital in Taiwan. Five-hundred questionnaires were distributed and 462 valid questionnaires were returned, yielding a response rate of 92.4%. The survey was conducted from December 4–25, 2017. Data were analysed with SPSS 22.0 and descriptive statistics, and the influence of demographics on hospital employees’ perception of teamwork climate, job satisfaction and healthcare quality was examined using a one-way analysis of variance.
Results: Hospital employees’ perception of teamwork climate was positively correlated with healthcare quality (β11 = 0.324, R-square = 0.212, p <.000) and job satisfaction (β21 = 0.705, R-square = 0.514, p <.0000). Furthermore, job satisfaction mediated the relationship between teamwork climate and healthcare quality (β12 = 0.121, β22 = 0.289, R-square = 0.281, p <.000).
Conclusions: Hospital managers can improve staff’s job satisfaction and encourage teamwork, thereby enhancing the healthcare quality provided to patients.Trial registration: CTH-106-3-5-068. Keywords: healthcare professional, team collaboration, teamwork, job satisfaction, quality of care
Trial registration: CTH-106-3-5-068.
Video-based Automatic Hand Hygiene Detection for Operating Rooms using 3D Convolutional Neural Networks
Authors: Kim Minjee , Choi Joonmyeong , Jo Jun-Young , Kim Wook-Jong , Kim Sung-Hun , Kim Namkug 
Published: June 2023

Abstract

Hand hygiene among anesthesia personnel is important to prevent hospital-acquired infections in operating rooms; however, an efficient monitoring system remains elusive. In this study, we leverage a deep learning approach based on operating room videos to detect alcohol-based hand hygiene actions of anesthesia providers. The proposed algorithm utilized a two-dimensional (2D) and three-dimensional (3D) convolutional neural networks (CNNs), sequentially. First, multi-person of the anesthesia personnel appearing in the target OR video were detected per image frame using the pre-trained 2D CNNs. Following this, each image frame detection of multi-person was linked and transmitted to a 3D CNNs to classify hand hygiene action. Optical flow was calculated and utilized as an additional input modality. Evaluations of the binary classification of hand-hygiene actions revealed an accuracy of 0.88, a sensitivity of 0.78, a specificity of 0.93, and an area under the operating curve (AUC) of 0.91. The deep learning approach has the potential to be applied in practical clinical scenarios providing continuous surveillance in a cost-effective way.
Association between P-Pulmonale and Respiratory Morbidity in COPD: a Secondary Analysis of the BLOCK-COPD trial
Authors: Wade R. Chad , Mkorombindo Takudzwa , Ling Sharon X. , Helgeson Erika. S. , MacDonald David M. , Pew Krystle , Voelker Helen , Bittner Vera , Kunisaki Ken M. , Lammi Matthew R. , Dransfield Mark. T. 
Published: June 2023

Abstract
Rationale
: Pulmonary hypertension (PH) in COPD confers increased risk of exacerbations (ECOPD). Electrocardiogram (ECG) indicators of PH are prognostic both in PH and COPD. In the Beta-Blockers for the Prevention of Acute Exacerbations of COPD (BLOCK-COPD) trial, metoprolol increased risk of severe ECOPD through unclear mechanisms.
Objective
We evaluated whether an ECG indicator of PH, P-pulmonale, would be associated with ECOPD and whether participants with P-pulmonale randomized to metoprolol were at higher risk of ECOPD and worsened respiratory symptoms given the potential detrimental effects of beta-blockers in PH.
Methods
ECGs of 501 participants were analyzed for P-pulmonale (P wave enlargement in lead II). Cox proportional hazards models evaluated for associations between P-pulmonale and time to ECOPD (all and severe) for all participants and by treatment assignment (metoprolol vs placebo). Linear mixed-effects models evaluated the association between treatment assignment and P-pulmonale on change in symptom scores (measured by CAT and SOBQ).
Results
We identified no association between P-pulmonale and risk of any ECOPD or severe ECOPD. However, in individuals with P-pulmonale, metoprolol was associated with increased risk for ECOPD (aHR 2.24, 95% CI: 1.31–3.84). There was no association between metoprolol and ECOPD in individuals without P-pulmonale. Individuals with P-pulmonale assigned to metoprolol experienced worsening symptoms (mean increase of 3.95, 95% CI: 1.32–6.58) whereas those assigned to placebo experienced a mean improvement in CAT score of -2.45 (95% CI: -0.30- -4.61).
Conclusions
In individuals with P-pulmonale, metoprolol was associated with increased exacerbation risk and worsened symptoms. These findings may explain the findings observed in BLOCK-COPD.
Real-world data of the effects of serum 25(OH)D and plasma fatty acids on breast and stomach tumors：A cross-sectional study
Authors: Zhong Yu , Ke Liyuan , Li Su 
Published: June 2023

Abstract
Objective
To investigate the correlation between serum 25(OH)D and plasma fatty acid levels and the clinical stage, tumor markers, histopathology and lymph node metastasis of patients with solid tumors, so as to further understand the potential impact of vitamin D and fatty acids on breast and stomach tumors.
Methods
A real world study, cross sectional study was conducted on patients with breast malignant tumor, benign breast tumor and gastric malignant tumor who were treated in Liaoning Cancer Hospital & Institute, from April 2020 to May 2021. The general clinical data of the patients, the laboratory data of serum vitamin D and plasma fatty acid levels were collected, and the effects of serum vitamin D and plasma fatty acid levels on solid tumors were statistically analyzed.
Results
The serum 25 (OH) D level and plasma fatty acid level of tumor patients were abnormal compared with their corresponding normal standard values. The expression level of 25 (OH) D in breast malignant tumors was significantly different according to tumor stage and molecular classification (P < 0.05), indicating that the pathological features such as tumor stage and molecular classification of breast cancer may be related to the expression level of serum 25 (OH) D. Multivariate analysis showed that carcinoembryonic antigen was a significant difference between breast malignant tumors and benign breast tumors, and 25 (OH) D and eicosapentaenoic acid (DPA) were significant differences between breast malignant tumors and benign breast tumors (P < 0.1).
Conclusion
Vitamin D deficiency and deficiency are common in tumor patients. The level of serum 25 (OH) D is correlated with the course of breast tumor, tumor stage and molecular classification. 25 (OH) D is a significant difference between breast malignant tumor and breast benign tumor. There is abnormal level of plasma free fatty acid in tumor patients. DPA is a significant difference between breast malignant tumor and benign breast tumor, which may be related to the pathological degree of breast tumor.