bluuebunny/crossref_metadata_2025_split huggingface dataset:
Internalization of Appearance Ideals and Not Religiosity Indirectly Impacts the Relationship Between Acculturation and Disordered Eating Risk in South and Southeast Asian Women Living in the United States
Authors: Negi Sonakshi , Benau Erik M. , Strowger Megan , Grammer Anne Claire , Timko C. Alix 
Published: July 2022

ObjectiveStudies that examine disordered eating in samples of Asian individuals living in the United States frequently combine all individuals of Asian descent into a single group, which can obscure important differences between groups and their experiences of acculturation. The goal of the present study was to establish the relation of acculturation, internalization of appearance ideals, and religiosity as predicting body dissatisfaction and disordered eating in women of South and Southeast Asian (SSEA) descent.MethodWomen of SSEA descent (N = 112) aged 18–51 years (M = 23.10, SD = 6.4) completed a battery of questionnaires that inquire about these variables. A path analysis was conducted with acculturation serving as the independent (exogenous) variable, religiosity and internalization of the thin ideal as mediators, and body dissatisfaction and disordered eating as dependent (endogenous) variables.ResultsDirect paths from acculturation to both body dissatisfaction and disordered eating were not significant. Thin ideal internalization completely accounted for the path from acculturation to both endogenous variables; whereas, religiosity did not significantly account for any indirect effect.DiscussionFor SSEA women, internalization of appearance ideals is a potentially greater risk factor for disordered eating than acculturation or religiosity. As this was an atemporal mediation analysis, more work needs to be done exploring predictors of internalization in this population and how that may impact the development of disordered eating.
Optimizing functional near-infrared spectroscopy (fNIRS) channels for schizophrenic identification during a verbal fluency task using metaheuristic algorithms
Authors: Xia Dong , Quan Wenxiang , Wu Tongning 
Published: July 2022

ObjectiveWe aimed to reduce the complexity of the 52-channel functional near-infrared spectroscopy (fNIRS) system to facilitate its usage in discriminating schizophrenia during a verbal fluency task (VFT).MethodsOxygenated hemoglobin signals obtained using 52-channel fNIRS from 100 patients with schizophrenia and 100 healthy controls during a VFT were collected and processed. Three features frequently used in the analysis of fNIRS signals, namely time average, functional connectivity, and wavelet, were extracted and optimized using various metaheuristic operators, i.e., genetic algorithm (GA), particle swarm optimization (PSO), and their parallel and serial hybrid algorithms. Support vector machine (SVM) was used as the classifier, and the performance was evaluated by ten-fold cross-validation.ResultsGA and GA-dominant algorithms achieved higher accuracy compared to PSO and PSO-dominant algorithms. An optimal accuracy of 87.00% using 16 channels was obtained by GA and wavelet analysis. A parallel hybrid algorithm (the best 50% individuals assigned to GA) achieved an accuracy of 86.50% with 8 channels on the time-domain feature, comparable to the reported accuracy obtained using 52 channels.ConclusionThe fNIRS system can be greatly simplified while retaining accuracy comparable to that of the 52-channel system, thus promoting its applications in the diagnosis of schizophrenia in low-resource environments. Evolutionary algorithm-dominant optimization of time-domain features is promising in this regard.
Diagnostic Accuracy of Deep Learning and Radiomics in Lung Cancer Staging: A Systematic Review and Meta-Analysis
Authors: Zheng Xiushan , He Bo , Hu Yunhai , Ren Min , Chen Zhiyuan , Zhang Zhiguang , Ma Jun , Ouyang Lanwei , Chu Hongmei , Gao Huan , He Wenjing , Liu Tianhu , Li Gang 
Published: July 2022

BackgroundArtificial intelligence has far surpassed previous related technologies in image recognition and is increasingly used in medical image analysis. We aimed to explore the diagnostic accuracy of the models based on deep learning or radiomics for lung cancer staging.MethodsStudies were systematically reviewed using literature searches from PubMed, EMBASE, Web of Science, and Wanfang Database, according to PRISMA guidelines. Studies about the diagnostic accuracy of radiomics and deep learning, including the identifications of lung cancer, tumor types, malignant lung nodules and lymph node metastase, were included. After identifying the articles, the methodological quality was assessed using the QUADAS-2 checklist. We extracted the characteristic of each study; the sensitivity, specificity, and AUROC for lung cancer diagnosis were summarized for subgroup analysis.ResultsThe systematic review identified 19 eligible studies, of which 14 used radiomics models and 5 used deep learning models. The pooled AUROC of 7 studies to determine whether patients had lung cancer was 0.83 (95% CI 0.78–0.88). The pooled AUROC of 9 studies to determine whether patients had NSCLC was 0.78 (95% CI 0.73–0.83). The pooled AUROC of the 6 studies that determined patients had malignant lung nodules was 0.79 (95% CI 0.77–0.82). The pooled AUROC of the other 6 studies that determined whether patients had lymph node metastases was 0.74 (95% CI 0.66–0.82).ConclusionThe models based on deep learning or radiomics have the potential to improve diagnostic accuracy for lung cancer staging.Systematic Review Registrationhttps://inplasy.com/inplasy-2022-3-0167/, identifier: INPLASY202230167.
International Intercomparison of In Situ Chlorophyll-a Measurements for Data Quality Assurance of the Swedish Monitoring Program
Authors: Kratzer Susanne , Harvey E. Therese , Canuti Elisabetta 
Published: July 2022

Chlorophyll-a is an essential climate variable. Chlorophyll-a in situ measurements are usually used for the validation of satellite images. Previous intercomparisons have shown that there can be substantial differences between in situ laboratories. In order to shed light on these differences, we arranged international chlorophyll-a intercomparisons with eight participating laboratories during 1–2 July 2021. We performed two dedicated transects through Bråviken bay (NW Baltic proper) and sampled four stations in each transect along a chlorophyll-a gradient. We took three surface replicates per laboratory and per station, i.e., 24 samples per laboratory. The samples were filtered through Whatman GF/F filters, and filters were frozen in liquid nitrogen and distributed in dry ice to all laboratories together with chlorophyll-a standards. The results between labs compared quite well. The mean normalized bias (MNB) of the standard measurements ranged between −23% and +19% for all laboratories and −7% to +19% for the Baltic Sea laboratories compared to high-performance liquid chromatography. The MNB of the two Bråviken transects ranged between −23 and +17% for all laboratories (compared to the median of all spectrophotometric and fluorometric measurements) and between −2 and +17% for the Baltic Sea laboratories. On average, the chlorophyll-a concentrations measured by the fluorometric method were about 13% higher than those measured by spectrophotometry, and fluorometry samples tended to have more scatter. The largest uncertainties seem to be caused by variable storage and extraction methods and are not fully captured in this intercomparison. This is demonstrated by analyzing historical comparisons revealing very large uncertainties (root mean square difference (RMSD) up to 109% and bias up to 68%), possibly due to too low filtration volumes and due to different extraction and storage methods. Our recommendation is to flash-freeze samples in liquid nitrogen and store them at −80°C. After storage, they should be extracted and measured at room temperature within 6–24 h. Our results also indicate that ethanol is much more efficient in extracting Chl-a than acetone. Last but not least, we would like to point out that the uncertainties in measuring chlorophyll-a by satellite are now within the range of in situ data, as shown here by comparing the in situ results from this study with published remote sensing results from the literature.
Single-port laparoscopic sacrospinous ligament suspension via the natural vaginal cavity (SvNOTES) for pelvic prolapse: The first feasibility study
Authors: Lyu Yuanyuan , Ding Huafeng , Ding Jin , Luo Yonghong , Guan Xiaoming , Ni Guantai 
Published: July 2022

ObjectiveThis study aims to investigate the feasibility and short-term efficacy of single-port laparoscopic-assisted transvaginal natural cavity endoscopic sacrospinous ligament suspensions (SvNOTES).MethodsA total of 30 patients diagnosed with anterior or/and middle pelvic organ prolapse Stages III and IV underwent natural vaginal cavity (SvNOTES), and 30 patients who underwent conventional sacrospinous ligament (SSLF) were used as a control group. The operation time, blood loss, postoperative POP-Q score, length of hospital stay, and complications were compared between the two groups.ResultsThe operation time for SvNOTE was (60 ± 13) min, which was longer than (30 ± 15) min for SSLF (P = 0.04). However, the bleeding amount in SvNOTE was 29.44 ± 2.56, significantly lower than that in the SSLF group (80 ± 10; P = 0.02), and the postoperative hospital stay in the SvNOTE group was (4 ± 2) days, longer than (3 ± 1) days in SSLF (P = 0.02). However, there were no intraoperative complications in the SvNOTE group, whereas one ureteral injury occurred in the SSLF group; in addition, the postoperative POP-Q score was significantly better in the SvNOTE group than that in the SSLF group with increasing time (P &lt; 0.001).ConclusionCompared with SSLF, single-port laparoscopic sacrospinous ligament suspension via the natural vaginal cavity is visualized, greatly improving the success rate of sacrospinous ligament fixation, with less blood loss and fewer complications, arguably a safer and minimally invasive surgical approach.
Biomechanical investigation of the hybrid modified cortical bone screw–pedicle screw fixation technique: Finite-element analysis
Authors: Kahaer Alafate , Maimaiti Xieraili , Maitirouzi Julaiti , Wang Shuiquan , Shi Wenjie , Abuduwaili Nueraihemaiti , Zhou Zhihao , Liu Dongshan , Maimaiti Abulikemu , Rexiti Paerhati 
Published: July 2022

BackgroundHybrid fixation techniques including the both modified cortical bone trajectory (MCBT) and traditional trajectory (TT) at the L4 and L5 lumbar segment are firstly proposed by our team. Therefore, the purpose of this study is to evaluate and provide specific biomechanical data of the hybrid fixation techniques including the MCBT and TT.MethodsFour human cadaveric specimens were from the anatomy laboratory of Xinjiang Medical University. Four finite-element (FE) models of the L4–L5 lumbar spine were generated. For each of them, four implanted models with the following fixations were established: TT-TT (TT screw at the cranial and caudal level), MCBT-MCBT (MCBT screw at the cranial and caudal level), hybrid MCBT-TT (MCBT screw at the cranial level and TT screw at the caudal level), and TT-MCBT (TT screw at the cranial level and MCBT screw at the caudal level). A 400-N compressive load with 7.5 N/m moments was applied to simulate flexion, extension, lateral bending, and rotation, respectively. The range of motion (ROM) of the L4–L5 segment and the posterior fixation, the von Mises stress of the intervertebral disc, and the posterior fixation were compared.ResultsCompared to the TT-TT group, the MCBT-TT showed a significant lower ROM of the L4–L5 segment (p ≤ 0.009), lower ROM of the posterior fixation (p &lt; 0.001), lower intervertebral disc stress (p &lt; 0.001), and lower posterior fixation stress (p ≤ 0.041). TT-MCBT groups showed a significant lower ROM of the L4–L5 segment (p ≤ 0.012), lower ROM of the posterior fixation (p &lt; 0.001), lower intervertebral disc stress (p &lt; 0.001), and lower posterior fixation stress (p ≤ 0.038).ConclusionsThe biomechanical properties of the hybrid MCBT-TT and TT-MCBT techniques at the L4–L5 segment are superior to that of stability MCBT-MCBT and TT-TT techniques, and feasibility needs further cadaveric study to verify.
A prospective study of specimen eversion to lateral rectum and valgus resection for low rectal cancer
Authors: Qian Long , Huang Xiaoxu , Xu Li , Chen Hao , Cao Tingting , Wang Song , Luo Can , Xia Yabin 
Published: July 2022

PurposeTo investigate the safety and efficacy of a reverse puncture device (RPD) and specimen eversion of the rectum for resection in total laparoscopic proctectomy.MethodsIn a prospective study from August 2019 to March 2021, 40 patients underwent a procedure with an RPD and specimen eversion of the rectum for total laparoscopic low rectal cancer resection, that is natural orifice specimen extraction surgery (NOSES), were included in the NOSES group. Forty patients in the control group underwent conventional laparoscopic radical resection for low rectal cancer and were included in the LAP group. Intraoperative- and postoperative-related indicators, recovery and inflammatory factors, quality of life (QOL) and mental health were compared.ResultsAll operations were successfully completed. Compared with the LAP group, the NOSES group showed better short-term outcomes, such as time to eating, postoperative pain, and especially postoperative incision-related complications. At the same time, postoperative inflammatory factor levels, psychological trauma, life-related anxiety and depression scores, and QOL were better in the NOSES group than in the LAP group.ConclusionsThe application of an RPD and specimen eversion of the rectum for total laparoscopic low rectal cancer resection is a technically feasible and safe approach with a short-term curative effect.
Immediate direct-to-implant breast reconstruction: A single center comparison between different procedures
Authors: Klinger Francesco , Lisa Andrea , Testori Alberto , Vaccari Stefano , Bandi Valeria , Lorenzano Valerio , Klinger Marco , Tinterri Corrado , Vinci Valeriano 
Published: July 2022

BackgroundThe increased incidence of conservative mastectomy operations (nipple- and skin- sparing) has increased the frequency of immediate breast reconstructions (IBR). In order to guarantee patients the best possible aesthetic outcome, the least chance of complications and moreover, the least postoperative pain, the technique with prepectoral prosthetic pocket was recently reconsidered with the use of ADM. This is the first study using Fortiva® in prepectoral breast reconstruction, and it compares the outcomes of three different patient populations (undergoing retromuscular, prepectoral and prepectoral reconstruction with ADM). The authors suggest that prepectoral breast reconstruction with ADM may bring benefits compared to the current standard technique (retromuscular) as well as compared to the prepectoral reconstruction without ADM.MethodsRetrospective data analysis of patients who underwent mastectomy followed by immediate breast reconstruction with silicone implants (DTI), performed by a team of breast surgeons and plastic surgeons. Logistic factor regressions were performed in order to investigate the effects of the three different intervention techniques on the incidence of complications. Fisher's exact test was used to analyze the differences in the occurrence of each complication. Mann Whitney test was used to compare the averages of referred pain. A p value &lt;0.05 was considered significant.ResultsA total of 67 patients underwent DTI reconstruction, of which 43 with retromuscular prosthesis, 13 prepectoral and 11 prepectoral with ADM. We found a significantly lower incidence of surgical complications with ADM, exclusively in comparison with retromuscular reconstruction (p = 0.028). It emerges prepectoral reconstruction with ADM involves significantly less visibility of the implant than both the prepectoral surgery without ADM (p = 0.013) and the retromuscular technique (p = 0.029). Finally, postoperative pain referred at twelfth month is significantly less relevant in the group with prepectoral prosthesis and ADM, both in the group with retromuscular (p &lt; 0.001) and prepectoral without ADM (p = 0.001).ConclusionsThis study demonstrates that immediate prepectoral breast reconstruction with ADM is a safe and reliable technique, able to exceed some type of limits imposed by prepectoral reconstruction. Moreover, it provides benefits if compared to the current standard technique. In the future, this technique could also be added to it, after a proper selection of patients in pre- and intraoperative time.
Relontouml: Development of a Model Based on Relational Model, Ontology and UML
Authors: Agárdi Anita 
Published: July 2022

Abstract
This paper presents a model that combines ontology, UML modeling, and a relational model. The ontology model (and the Ontology Web Language - OWL), UML, and relational model are first introduced in the article. After a review of the literature, the comparison and conversion of the systems are presented. The created model is then presented and a real ontology is modeled using the presented model.
Procedimiento para la previsión de tipos de cambio. Aplicación de redes neuronales artificiales EUR/USD
Authors: Oliva de Con Fidel de la , Molina Fernández Reinaldo , Díaz Rodríguez David 
Published: July 2022

La previsión del tipo de cambio constituye un elemento fundamental en la estrategia de cobertura frente al riesgo cambiario, lo que impulsa la búsqueda de nuevas técnicas que sean más eficaces. Con el objetivo de facilitar el uso de algoritmos de inteligencia artificial para este propósito, se creó el procedimiento expuesto en este trabajo. Este procedimiento está basado en el uso de métodos cuantitativos para la obtención de la previsión, siendo el más importante la utilización de las redes neuronales artificiales, concretamente las denominadas long short-term memory. Se lleva a cabo la construcción de distintos modelos de los cuales se elige el óptimo usando como criterio de selección la raíz cuadrada del error cuadrático medio. Tras la obtención de modelos que se desempeñan con una efectividad comprendida en el rango de 97.28% - 99.55% se demostró la eficacia del procedimiento.

Palabras clave: inteligencia artificial, pronósticos, redes neuronales recurrentes, series de tiempo.
Validación de las dimensiones para auditorías de gestión de la calidad en empresas pesqueras mantenses
Authors: Hidalgo Ávila Argelio Antonio , Zambrano Vera Mónica Janeth , Pinargote Vásquez Nancy Fabiola 
Published: July 2022

El sector pesquero en la ciudad de Manta constituye un pilar fundamental dentro del desarrollo económico del cantón y el país, dada la concentración de la industria atunera, reconocida a nivel internacional, fuente generadora de empleo e innovación tecnológica. En este contexto, la gestión de la calidad alcanza especial interés en toda la cadena productiva dentro del sector pesquero. El objetivo de esta investigación es validar las dimensiones fundamentales para la realización de auditorías de gestión de la calidad en las medianas y pequeñas empresas del sector pesquero de la ciudad de Manta, considerando cuatro variables: gerencia, producción, talento humano y medio ambiente. La validación se realizó a través del cálculo del coeficiente de concordancia Kendall, con la participación de siete expertos, determinándose las más prioritarias. Los resultados arrojaron la aceptación de las dimensiones propuestas, dado que el coeficiente de concordancia arrojó una significación de 0, siendo consistente y aceptable.

Palabras clave: Gestión de la calidad, auditoría de gestión, coeficiente de concordancia Kendall, normas de calidad, empresas pesqueras
Análisis de la sostenibilidad del comercio autónomo de la calle Alajuela, Portoviejo
Authors: Muñoz Valdivieso Mónica Briggitte , Macías Zambrano Nimia 
Published: July 2022

La presente investigación tuvo como objetivo realizar un análisis de sostenibilidad, que permitió determinar los factores que influyen en la sostenibilidad del comercio autónomo de la calle Alajuela, del cantón Portoviejo. La investigación fue descriptiva, con un diseño de investigación no experimental – transaccional de tipo descriptivo. Los métodos que se utilizaron fueron de tipo inductivo, deductivo y estadístico lo cual permitió realizar un análisis de la situación en la que se encuentra. Las técnicas e instrumentos de recolección de información se realizaron mediante la encuesta y la técnica de análisis de información estadística, identificando las problemáticas que tiene como la inseguridad, ubicación, falta de ayuda financiera, competencia alta, espacios reducidos, también se identificaron las variables de aceptación que mantienen la fidelidad de los clientes, y de qué manera las variables de aceptación ayudan al desarrollo sostenible del comercio autónomo de la calle Alajuela en la ciudad de Portoviejo.

Palabras clave: Diagnostico, sostenibilidad empresarial, comercio, desarrollo sostenible, variables de aceptación.
Pengaruh Sukuk dan Faktor Internal terhadap Profitabilitas Bank Syariah
Authors: Rusmawan Renanta Ivana Nanda , Juniwati Endang Hatma , Nurdin Ade Ali 
Published: July 2022

This study aims to determine the impact Sukuk and Islamic bank internal factors on the profitability BRI Syariah. This study used secondary data using BRI Syariah quarterly reports for the years 2011-2020. The independent variable used is Sukuk, CAR, FDR, NPF, and BOPO and the dependent variable used is ROE which is used as a measure of the profitability of Islamic banks. This study uses the SPSS program and uses multiple linear regression analysis. The results showed that sukuk, NPF, CAR, FDR, and BOPO simultaneously had an effect on ROE. While partially the issuance of sukuk and FDR has no significant effect on ROE, and NPF, CAR, BOPO has a negative and significant effect on ROE BRI Syariah.
C сербского на сербский: Милорад Павич и его перевод Песен западных славян Пушкина
Authors: Radunović Ana Jakovljević 
Published: July 2022

Милорад Павич – сербский писатель, переводчик и историк сербской литературы xvii-xix веков, специалист по сербскому барокко и поэзии символизма, является автором лучшего перевода Евгения Онегина на сербский язык. Павич считается переводчиком, подходящим к оригиналу с пиететом, с желанием отразить его метрические и ритмические свойства. Сербский автор перевел три стихотворения из цикла Песни западных славян: Бонапарт и Черногорцы, Песня о Георгии Черном и Воевода Милош. Все песни сербского цикла Пушкина, как считает переводчик, имеют прямое отношение к биографии поэта. Задача статьи – проследить, какими соображениями руководствовался Павич при переводе стихов Пушкина на сербский язык, и как он создавал свой переводческий цикл – Сербские песни Пушкина.