bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating Effects of Live-Imaging Sonar on Angler Catch of Crappies in a Kansas Impoundment
Authors: Neely Ben C , Koch Jeff D , Gido Keith B 
Published: October 2022

Abstract
Crappie (Black Crappie Pomoxis nigromaculatus and White Crappie P. annularis) fisheries are popular across the United States. Recently, Kansas anglers have expressed concern that using live-imaging sonar (LIS) during winter months may increase catch, resulting in deleterious effects on crappie populations. Specifically, there was concern that (1) increased angler catch would result in population declines and (2) anglers would selectively capture the largest crappies in the population, thus reducing population size structure. We addressed these concerns with a controlled experiment at Cedar Bluff Reservoir, Kansas, over a 2-week period in winter 2021. Anglers were permitted to fish for 1 d using LIS and another day not using LIS to evaluate differences in crappie catch. There was no difference in mean catch or length structure of crappies using LIS and not using LIS. These results suggest that LIS may not increase crappie catch, or length of captured crappie, in open-water winter fisheries. Our findings, while limited in extent, provide an objective, quantitative glimpse at potential impacts of emerging technology on angler success. These results provide a starting point for assessment of LIS-induced impacts on recreational fisheries.
The applicability of the Second Revision of the International Staging System for patients with multiple myeloma receiving immunomodulatory drugs or proteasome inhibitor‐based regimens as induction treatment: A real‐world analysis
Authors: Chen Haimin , Zhou Nian , Hu Xiaohua , Wang Dongjiao , Wei Wei , Peng Rong , Chen Xiaoling , Shi Haotian , Wu Lixia , Yu Wenjun , Zhao Wenhao , Zhou Fan 
Published: October 2022

AbstractThe Second Revision of the International Staging System (R2‐ISS) was recently introduced to improve risk stratification over that provided by the extensively applied standard revised International Staging System (R‐ISS). In addition to the variables included in the R‐ISS, the R2‐ISS incorporates chromosome 1q gain/amplification and divides the patients into 4 groups with different survival outcomes, better stratifying patients within the R‐ISS intermediate‐risk. The new model was developed based on a great quantity of data from patients participating in uniform clinical trials and has not been validated in real‐world clinical practice. Therefore, we retrospectively analyzed the prognostic value of the R2‐ISS in 474 consecutive patients with multiple myeloma receiving immunomodulatory drugs or proteasome inhibitor‐based regimens as their first‐line treatment. According to the R2‐ISS, 41 (8.6%), 76 (16%), 275 (58%), and 82 (17.3%) patients were identified as R2‐ISS I, R2‐ISS II, R2‐ISS III, and R2‐ISS IV, respectively. The median progression‐free survival (PFS) was 48 (95% CI: 38–58), 35 (95% CI: 23–47), 24 (95% CI: 21–27), and 12 (95% CI: 7–17) months, and the estimated median overall survival (OS) was 110 (95% CI: 42–178), 88 (95% CI: 75–101), 50 (95% CI: 43–57), and 26 (95% CI: 19–33) months (p < 0.001) in the 4 groups, respectively. The R2‐ISS could also classify groups with distinct survival among patients with renal impairment or classified as R‐ISS II. Adjusted by age, sex, treatment approaches and transplantation status, the R2‐ISS was an independent prognostic factor associated with OS with a hazard ratio of 7.055 (95% CI: 3.626–13.726) (p < 0.001) for R2‐ISS IV versus R2‐ISS I and 2.707 (95% CI: 1.436–5.103) (p = 0.002) for R2‐ISS III versus R2‐ISS I. In conclusion, our results suggest that the R2‐ISS is a simple and robust risk stratification tool for patients with multiple myeloma treated with novel drugs and could be used in everyday clinical practice.
Comparative analysis of antigen coding genes in 15 red cell blood group systems of Yunnan Yi nationality in China: A cross‐sectional study
Authors: He Kun‐Hua , Xu Lu‐Qiong , Hu Ying‐Feng , Xu Yin‐Xia , Zhao Yu , Bao Jing‐Yan , Wang Bu‐Qiang 
Published: October 2022

AbstractIntroductionThere are few analyses of the 15 red blood group system antigen coding genes found in the Yunnan Yi nationality. This has caused many poteintial dangers relating to clinical blood transfusion. In this report, the coding genes and distribution of 15 blood group antigens system in the Yi nationality were tested and compared with those of Han nationality and other ethnic minorities.MethodsThe samples came from the healthy subjects in the first people's Hospital of Qujing, Yunnan Province. Two hundred and three Yunnan Yi and 197 Han nationality individuals were included. Thirty‐three blood group antigens with a low frequency from the 15 blood group systems of Yunnan Yi blood donors were genotyped and analyzed by PCR‐SSP. Sanger sequencing was used to detect A4GALT from the Yunnan Yi nationality. Theχ2test was used to analyze observed and expected values of gene distribution to verify conformation to the Hardy‐Weinberg equilibrium law. Fisher's exact test was used to analyze gene frequency distribution, and the statistical significance was set atp < 0.05.ResultsThe ABO blood group examination results for the Yi nationality and the local Han nationality in Qujing City, Yunnan Province, showed the majority were type A and type O, while the least prevalent was type AB. RhD+ accounts for more than 98% of the Yi and Han populations. There was a significant difference in ABO blood group antigen distribution between these two nationalities (p < 0.05), but there was no significant difference in the composition ratio of D antigen in the Rh blood group system (p > 0.05). Compared with Tibetan (Tibet), Zhuang (Nanning), and Dong (Guangxi), the gene distribution frequencies of Rh blood group system phenotype CC were significantly lower in the Yunnan Yi nationality (p < 0.05). There were significant differences in six erythrocyte phenotypic antigens in the Yi nationality in Yunnan compared with Han nationality, such as LW(a−b−), JK(a−b+), MMSs, Di(a−b+), Wr(a−b−), and Kp(a−b+) (p < 0.05). There were gene phenotypes with a low frequency in the four rare blood group systems: LW, MNS, Wright, and Colton. Several different mutation types occurred in the P1PK blood group system's A4GALT gene.ConclusionYunnan Yi nationality has a unique genetic background. There are some significantly different distributions of blood group system genes with a low frequency in different regions and groups in China. Multiple mutations in the A4GALT gene of the P1PK blood group system may be related to their environment and ethnic evolution.
Influence of multiple slips on magnetically driven nanofluid flow over an externally heated stretching cylinder
Authors: Maity Suprakash , Kundu Prabir Kumar 
Published: October 2022

AbstractIn this article, we have inspected multiple slippery consequences along a stretching cylinder. Brownian migration along with thermophoresis is clutched together with an external heat source. Magnetic influence is considered perpendicular to the cylinder. Standard flow systems are transfigured to ordinary differential equations by well‐qualified similarity transformations. They are solved by the Runge–Kutta scheme of the fourth‐order (shooting technique) method with the assistance of MAPLE software. The entire simulation is done with a proper accuracy rate and the upshots are portrayed by graphs and tables. All results are compared under no slip and with slip provisions. Augmentation in Reynolds number and magnetic parameter uprise the velocity lines and the slip effect reduces the magnitude decently. The thermal jump effect reduces the magnitude of the heat transfer rate. The solutal slip effect decreases the concentration boundary layer for magnetic and Brownian migration specifications. Approximately 6.69% and 6.79% drop in Nusselt number is spotted for Brownian migration and thermophoresis parameters. The external heat source parameter brings out 14.98% inflation in the Nusselt number significantly.
Alzheimer's detection using various feature extraction approaches using a multimodal multi‐class deep learning model
Authors: Goenka Nitika , Tiwari Shamik 
Published: October 2022

AbstractAlzheimer's disease is a chronic brain condition that takes a toll on memory and potential to do even the most basic tasks. With no specific solution viable at this time, it's critical to pinpoint the start of Alzheimer's disease so that necessary steps may be initiated to limit its progression. We used three distinct neuroanatomical computational methodologies namely 3D‐Subject, 3D‐Patches, and 3D‐Slices to construct a multimodal multi‐class deep learning model for three class and two class Alzheimer's classification using T1w‐MRI and AV‐45 PET scans obtained from ADNI database. Further, patches of various sizes were created using the patch‐extraction algorithm designed with torch package leading to separate datasets of patch size 32, 40, 48, 56, 64, 72, 80, and 88. In addition, Slices were produced from images using either uniform slicing, subset slicing, or interpolation zoom approaches then joined back to form a 3D image of varying depth (8,16,24,32,40,48,56, and 64) for the Slice‐based technique. Using T1w‐MRI and AV45‐PET scans, our multimodal multi‐class Ensembled Volumetric ConvNet framework obtained 93.01% accuracy for AD versus NC versus MCI (highest accuracy achieved using multi‐modalities as per our knowledge). The 3D‐Subject‐based neuroanatomy computation approach achieved 93.01% classification accuracy and it overruled Patch‐based approach which achieved 89.55% accuracy and Slice‐Based approach that achieved 89.37% accuracy. Using a 3D‐Patch‐based feature extraction technique, it was discovered that patches of greater size (80, 88) had accuracy over 89%, while medium‐sized patches (56, 64, and 72) had accuracy ranging from 83 to 88%, and small‐sized patches (32, 40, and 48) had the least accuracy ranging from 57 to 80%. From the three independent algorithms created for 3D‐Slice‐based neuroanatomy computational approach, the interpolation zoom technique outperformed uniform slicing and subset slicing, obtaining 89.37% accuracy over 88.35% and 82.83%, respectively. Link to GitHub code: https://github.com/ngoenka04/Alzheimer-Detection.
Accuracy and stability evaluation of different blood sampling methods in blood gas analysis in emergency patients: A retrospective study
Authors: Zhao Xiexiong , Liu Tao , Huang Miao , Li Ruixuan , Zeng Jianwei , Li Yihui , Fu Ru , Li Xiaogang , Jiang Weihong 
Published: October 2022

AbstractBackgroundTo evaluate the accuracy and stability of arterial blood gas (ABG) results by comparison with venous measurements from routine blood tests, and to compare the accuracy and performance of two sampling syringes, pre‐heparinized syringe (PHS) and disposable arterial blood syringe (DABS), in ABG analysis.MethodsWe retrospectively analyzed the practical use of PHS and DABS in collecting ABG samples, involving 500 and 400 patients, respectively. For each patient, in addition to the ABG sample, a venous blood sample was also collected using a venous blood collection tube (VBCT) and used for routine blood tests. Accordingly, patients were referred to as the PHS + VBCT group and DABS + VBCT group. The correlation between arterial and venous values of each blood parameter in each group was evaluated using the interclass correlation coefficient (ICC). Bland–Altman was performed to evaluate the agreement between arterial and venous values and compare the performance of PHS and DABS in ABG sample collection.ResultsIn the PHS + VBCT group, arterial K+, Na+, hemoglobin (Hb), and hematocrit (HCT) were 0.32 mmol/L, 2.90 mmol/L, 2.21 g/L, and 1.27% significantly lower their corresponding venous values while arterial Cl− was 7.60 mmol/L significantly higher than venous Cl−. In the DABS + VBCT group, arterial K+ and Na+ were 0.20 mmol/L and 1.19 mmol/L significantly lower while Cl− and HCT in arterial blood were 5.34 mmol/L and 0.66% significantly higher than their corresponding venous values. In both groups, arterial K+, Na+, Hb, and HCT values were highly consistent with their corresponding venous values, with all ICCs greater than 0.70, especially Hb and HCT. Bland–Altman analysis demonstrated that arterial K+ and Na+ were more consistent with venous counterparts in the DABS + VBCT group, with a narrower 95% limits of agreement than the PHS + VBCT group (K+, −0.7‐0.3 mmol/L vs. −1.1 to 0.5 mmol/L; Na+, −5.8 to 3.4 mmol/L vs. −8.2 to 2.4 mmol/L).ConclusionArterial blood gas analysis of K+, Na+, Hb, and HCT using PHS or DABS for blood sampling is accurate and stable, especially DABS, which can provide clinicians with fast and reliable blood gas results.
Recommendations for remaining agile in the face of a dental faculty workforce shortage
Authors: Sabato Emily , Doubleday Alison F. , Lee Chun‐Teh , Correa Leopoldo P. , Huja Sarandeep , Crain Geralyn 
Published: October 2022

AbstractPurposeDental education is facing a faculty workforce shortage. Lack of preparation risks faculty, student, and staff morale and is an impediment to institutional growth and innovation. Administrators and faculty must consider strategies to better prepare for, and be successful within, a faculty shortage environment.MethodsWe review strategies utilized by health professional institutions that have confronted faculty workforce shortages.ResultsThese strategies were grouped into four domains reflecting the organizational units that typically direct and initiate change within dental education institutions: budget and finance, human resources, organizational structure, and curricular structure. Recommendations using a four‐pronged approach based on these domains have been developed for remaining agile in the face of a faculty workforce shortage.ConclusionsLocal needs assessments and strategic planning are the first steps in highlighting institutional strengths and identifying gaps within each of the domains. Faculty development and retention efforts, as well as increasing curricular efficiencies, are essential for success across all domains.
Why do you use a smartphone to pay? Determinants of mobile payment adoption in China
Authors: Yan Jie , Zhou Youmeng , Mei Maggie Qiuzhu 
Published: October 2022

AbstractMobile phone users are increasingly adopting mobile payment technologies. Previous studies about mobile payments rarely consider customer psychological and market environmental factors. This article explores the mobile payment adoption issue based on a model integrating variables from the technology acceptance model (TAM) and the innovation diffusion model (IDT), as well as risks, social influence and internet experience, taking into account the circumstances of the Chinese market. Our analyses of a random sample of 922 mobile users show that these factors significantly impact the adoption of mobile payment in China. The degree of their influence and functions vary between mobile users who have mobile payment experience and others without such experience.
Long non‐coding RNA VPS9D1‐AS1 enhances proliferation, invasion, and epithelial‐mesenchymal transition in endometrial cancer via miR‐377‐3p/SGK1
Authors: Peng Tian‐Fang , Zhou Yan‐Jie , Zhou Jian , Zhou Yi , Li Xin‐Chun , Ouyang Qiang 
Published: October 2022

AbstractEndometrial cancer (EC) is a kind of gynecologic malignancy with a rising incidence rate. This study aimed to explore the role of VPS9D1 antisense RNA1 (VPS9D1‐AS1) in EC. The expression of VPS9D1‐AS1, microRNA (miR)‐377‐3p, and serum and glucocorticoid‐regulated kinase 1 (SGK1) was detected by Quantitative Real‐Time PCR (qRT‐PCR). Cell proliferation, invasion and epithelial‐mesenchymal transition (EMT) were determined by cell counting kit‐8 (CCK‐8), 5‐Ethynyl‐2′‐Deoxyuridine (EdU) transwell, and western bolt. VPS9D1‐AS1 was predicted to sponge miR‐377‐3p via Starbase, and verified by luciferase reporter, RNA binding protein immunoprecipitation (RIP), and RNA pull‐down experiments. The clinical characteristics of VPS9D1‐AS1, miR‐377‐3p, and SGK1 were analyzed. The role of VPS9D1‐AS1 on EC tumorigenesis was assessed in xenografted nude mice. VPS9D1‐AS1 was upregulated in EC cells and tissues. Interference of VPS9D1‐AS1 inhibited growth, invasion, and EMT of EC cells. Mechanically, VPS9D1‐AS1 was a molecular sponge of miR‐377‐3p, and overexpression of miR‐377‐3p reversed VPS9D1‐AS1‐induced EC cells proliferation, invasion, and EMT. Moreover, SGK1 was confirmed to bind with miR‐377‐3p. Furthermore, overexpression of SGK1 alleviated sh‐VPS9D1‐AS1‐caused effects on EC cells. High level of VPS9D1‐AS1 and SGK1, or low miR‐377‐3p expression predicted a poor prognosis. The expression of the three genes was correlated with lymph node metastasis, pathological stage, and International Federation of Gynecology and Obstetrics (FIGO) stage, but not associated with age, ER, and PR expression. Interestingly, knockdown of VPS9D1‐AS1 suppressed EC tumor growth in mice. VPS9D1‐AS1 promoted cell invasion, proliferation, and EMT via modulating miR‐377‐3p/SGK1 axis, which provided new options for therapeutic strategies of EC.
Remote sensing‐based retrieval of soil moisture content using stacking ensemble learning models
Authors: Wang Sinan , Wu Yingjie , Li Ruiping , Wang Xiuqing 
Published: October 2022

AbstractMachine learning combined with multisource remote sensing data to assess soil moisture content (SMC) has attracted considerable attention in SMC studies, but the retrieval results still remain uncertain. The purpose of this study is to combine multiple single machine learning models with integrated learning algorithms and propose an SMC retrieval method based on multiple differentiated models under a stacking integrated learning architecture. First, 19 factors, including: radar backscattering coefficient, vegetation index, and drought index, that affect SMC were extracted from SENTINEL‐1, LANDSAT, and terrain factors. Those with the highest importance scores were selected as retrieval factors using the Boruta algorithm combined with four single machine learning methods—classified regression tree, random forest, gradient boosting decision tree (GBDT), and extreme random tree. In addition, the two stacking ensemble models using least absolute shrinkage and selection operator (LASSO) and the generalized boosted regression model (GBM) were tested and applied to build the most reliable and accurate estimation model. The results showed that radar backscattering coefficient, temperature, vegetation drought index, land surface temperature, enhanced vegetation index, and solar local incident angle were the most important environmental variables for soil moisture retrieval. A comparison of the four machine learning methods in April and August showed that the GBDT model revealed the highest SMC retrieval accuracy, with root mean square error values of 1.87% and 1.64%, respectively. The stacking models were more accurate than the optimal single machine learning model, especially when using GBM. The multifactor integrated model constructed using spectral indices, radar backscatter coefficients, and topographic data exhibited high accuracy in soil surface moisture retrieval in an arid zone, providing a reference for land desertification studies and ecological environment management in the study region.
Identifying and prioritising process portfolio for sustaining an effective business process management lifecycle
Authors: Özdağoğlu Güzin , Özdağoğlu Aşkın , Damar Muhammet 
Published: October 2022

AbstractThis study aims to develop a pipeline for identifying and prioritising the processes to include in business process management (BPM) initiatives by considering the obstacles for giving equal importance to the processes performed in businesses. The paper proposes the use of a process classification framework as a reference for process identification and fuzzy multi‐criteria decision‐making methods for prioritising the processes. A real‐life application is presented, which adopts APQC Process Identification Framework, Fuzzy‐SWARA for weighting the criteria, and six additional methods for prioritising the processes. The approach would assist the executives in maintaining the BPM lifecycle by presenting a roadmap, especially for organisations that do not have much experience in this field. Methodological depth, richness and recency would provide guidelines for investigating the best set of processes to include in the architecture initially, not in the analysis or redesign phases.
Perceived barriers and facilitators to physical activity in childhood cancer survivors and their parents: A large‐scale interview study from the International PACCS Study
Authors: Larsen Elna Hamilton , Mellblom Anneli Viktoria , Larsen Marie Hamilton , Ruud Ellen , Thorsen Lene , Petersen Natasha Nybro , Larsen Hanne Bækgaard , Fridh Martin Kaj , Lie Hanne Cathrine 
Published: October 2022

AbstractBackgroundPhysical activity (PA) may reduce risks of late effects in childhood cancer survivors, yet many have low activity levels. Using the WHO's International Classification of Functioning, Disability, and Health for Children and Youths (ICF‐CY) as a conceptual framework, we aimed to identify perceived barriers and facilitators to PA in young survivors and their parents.Design/methodsWe conducted individual, semi‐structured interviews with 63 survivors, aged 9–18 years, ≥1‐year off treatment, and 68 parents, recruited from three pediatric oncology departments in Norway and Denmark. Interviews were analyzed inductively using thematic analysis to identify barriers and facilitators to PA, which were mapped onto the ICF‐CY model components; body function/structures, activities, participation, and environmental and personal factors.ResultsTwo‐thirds of the survivors described how treatment‐related impairments of bodily functions (e.g., fatigue, physical weakness, reduced lung capacity) caused physical limitations, reducing opportunities to participate in PA, especially team sports and school physical education. This resulted in a perceived ability gap between survivors and peers, reducing motivation for PA. These PA barriers were moderated by environmental factors that facilitated or further hindered PA participation (family, peer, and school support). Similarily, personal factors also facilitated (acceptance, motivation, goal setting) or hindered (anxiety, low motivation, and lack of trust) PA participation.ConclusionTreatment‐related long‐term or late effects represented significant barriers to PA as their functional consequences reduced survivors’ capacities and capabilities to be active. Environmental and personal factors acting as facilitators or further barriers to PA were identified. Applying the ICF‐CY framework in clinical practice could help to enable PA participation.
Hybrid additive manufacturing
Authors: Layher Michel , Bliedtner Jens , Theska René 
Published: October 2022

AbstractLarge‐scale additive manufacturing (LSAM) is an additive manufacturing process based on the principles of fused filament fabrication but with significantly higher material deposition rates. The novel hybrid process shown in this paper combines LSAM with a laser beam heat treatment. The structure and mechanical properties of parts are improved due to significantly decreased void sizes. The following article details investigations into the vertical and lateral remelting of strands as well as the utilization of a mirror system, which enables beam guidance according to the machine's printing path.