bluuebunny/crossref_metadata_2025_split huggingface dataset:
Maternal body fat and infant body weight influence human milk intake by the infant: A causal inference approach
Authors: Hitzert Femke , Gemert Sacha La Bastide - van , Costa Teresa da , Eaton Simon , Fewtrell Mary , Vega Gilma Olaya , Wells Jonathan , Haisma Hinke 
Published: August 2022

Abstract
Background: Several scholars have found an association between maternal body composition and her breast milk output. But, in order to obtain the desired unconfounded effect estimates for this association, knowledge of the underlying causal relationships is necessary, taking into account all possible confounding background variables. Objective: To explore the causal relationships underlying the association between maternal body composition and breast milk output. Methods: Data for this study were obtained from a database in which milk intake data was pooled together (188 mother-infant pairs). All studies used the dose-to-the-mother deuterium-oxide turnover method for measuring breast milk transfer from mother to infant. Causal inference search algorithms were used to determine which causal graphs were compatible with the given data. Results: This exploratory study identified several confounders in the association between maternal body composition and breast milk output, like parity, smoking and education. When decomposing body mass index (BMI) into fat mass index (FMI) and fat free mass index (FFMI), we found that the effect of body composition on milk output is affected by maternal fat mass rather than the mothers’ lean mass. In addition, we found that infants with higher body weight consume more milk rather than the other way around. Conclusion: The use of causal inference techniques on milk intake data revealed that the effect of BMI on milk output is through maternal fat mass. Furthermore, our findings suggest that the infant exercises control over milk output through its body weight rather than that the mother's milk output drives infant growth.
Coil-assisted retrograde transvenous obliteration of gastric varices by an inverted catheter tip technique via the pericardiophrenic vein
Authors: Asano Kazuo , Jogo Atsushi , Sakai Yukimasa , Yamamoto Akira , Yata Shinsaku , Kaminou Toshio , Okahashi Sami , Nakano Mariko , Nango Mineyoshi , Kageyama Ken , Sohgawa Etsuji , Miki Yukio 
Published: August 2022

Abstract
Background: Bleeding from gastric varices can be life-threatening. Balloon-occluded retrograde transvenous obliteration is one of the treatments for gastric varices. The obliteration via other efferent veins than gastrorenal shunts has only rarely been reported. In such cases, it is sometimes difficult to insert the catheter close to the gastric varices because of the narrowness and tortuosity of the vein.Case presentation: A 70-year-old woman with liver cirrhosis was admitted to our hospital for treatment of growing gastric varices in the fundus. Computed tomography showed gastric varices continuously draining the pericardiophrenic vein via the inferior phrenic vein. Balloon-occluded retrograde transvenous obliteration by a transjugular approach was planned. However, a conventional balloon catheter or micro balloon catheter could not be inserted into the efferent vein near the varices because of the narrowness and tortuosity of the vein. Hence, coil-assisted retrograde transvenous obliteration was performed by an inverted catheter tip technique using a single conventional microcatheter. At 2 months after procedure, endoscopy showed shrinkage of the gastric varices.Conclusions: The inverted catheter tip technique might be useful for cases in which it is difficult to insert a balloon catheter into the efferent vein.
The impact of oocytes containing smooth endoplasmic reticulum aggregates on assisted reproductive outcomes: a cohort study
Authors: Fang Tingfeng , Yu Wenchang , Ou Songbang , Lu Jinyu , Li Ruiqi , Zhao Mingpeng , Chan Yiu Leung , Wang Wenjun 
Published: August 2022

Abstract
Background: The impact of SERa on ART outcomes was still controversial. Our objective is to investigate the impact of the presence of smooth endoplasmic reticulum aggregates (SERa) on ICSI outcomes. Methods: This was a retrospective cohort study. A total of 1,090 fresh ICSI cycles from 944 patients between January 2016 and June 2020 were included. Outcomes from clinical, embryological and neonatal aspects were compared between SERa+ and SERa- cycles as well as between SERa+ and SERa- oocytes. Results: The total gonadotropin (Gn) dose, number of oocytes retrieved, serum estradiol concentration and number of the available embryo were significantly higher in SERa+ cycles than in SERa- cycles (P<0.05). Comparable two pronuclei (2PN) fertilization rate and poly-pronucleus zygote rate were shown in SERa+ and SERa- cycles (P>0.05), but which were higher in SERa+ oocytes than in SERa- oocytes (P<0.05). No statistical difference in blastocyst formation rate was found in SERa+ and SERa- cycles as well as in SERa+ and SERa- oocytes (P>0.05). Good-quality embryo rate was statistically higher in SERa- cycles than in SERa+ cycles (P<0.05), but the difference was comparable between SERa+ and SERa- oocytes (P>0.05). No statistical difference in pregnancy rate, clinical pregnancy rate, spontaneous abortion rate, live birth rate and premature delivery rate were found in SERa+ and SERa- cycles as well as in SERa+ and SERa- oocytes (P>0.05). The implantation rate was comparable in SERa+ and SERa- cycles (P>0.05), but it is higher in the group of only SERa- embryo transfer when compared with the group of mixed SERa+ and SERa- embryo transfer (P<0.05). One hundred and fifty-nine newborns in SERa+ cycles and 140 newborns in SERa- cycles were followed up. Comparable newborn malformation rate was observed between SERa+ and SERa- cycles and oocytes (P>0.05). Logistic regression analysis revealed number of oocytes and total dose of Gn were risk factors for SERa occurrence (aOR=1.05 and 1.55, P<0.001).Conclusion: Oocyte's SERa is correlated with a number of oocytes retrieved and higher Gn dose, but it does not impact pregnancy outcomes and increase newborn malformation rate.
Complex-domain enhancing neural network for large-scale coherent imaging
Authors: Bian Liheng , Chang Xuyang , Zhao Rifa , Jiang Shaowei , Shen Cheng , Zheng Guoan , Yang Changhuei 
Published: August 2022

Abstract
Large-scale computational imaging allows an unprecedented resolution beyond the space-bandwidth production (SBP) limit of the optical system. In coherent imaging (CI), the joint reconstruction of amplitude and phase further expands the information throughput and sheds light on label-free observation of biological samples at micro or even nano level. The existing large-scale CI techniques usually require scanning/modulation multiple times to guarantee measurement diversity and long exposure time to achieve a high signal-to-noise ratio (SNR). Such cumbersome procedure restricts clinic applications for rapid and low-phototoxicity cell imaging. In this work, a complex-domain enhancing neural network for large-scale coherent imaging termed CI-CDNet is reported for various large-scale CI modalities with outstanding reconstruction image quality and efficiency. CI-CDNet is able to exploit the latent coupling information between amplitude and phase, realizing multi-dimensional representation of complex wavefront. The cross-field characterization framework empowers strong generalization and robustness for various coherent modalities, allowing high-quality and efficient imaging under extremely few data volume and low exposure time. We applied CI-CDNet in various large-scale CI modalities including Kramers-Kronig-relations holography, Fourier ptychographic microscopy, and lensless coded ptychography. A series of simulations and experiments validate that CI-CDNet can reduce data volume requirement and exposure time by more than one order of magnitude. We further demonstrated that the high-quality reconstruction of CI-CDNet benefits the subsequent high-level semantic analysis.
Ectopic Vasodilation of a young woman with Loeys-Dietz syndrome in 10 years
Authors: Nakajima Tomohiro , Iba Yutaka , Shibata Tsuyoshi , Hosaka Itaru , Nakazawa Jyunji , Kawaharada Nobuyoshi 
Published: August 2022

Abstract
We report the 10-year surgical course of a 27-year-old young woman who underwent two surgeries s after being diagnosed with Loeys-Dietz syndrome (LDS). As previously reported, this case showed ectopic arterial enlargement, and we can follow its temporal changes over a 10-year period. We described computed tomography (CT) changes over time and the appearance and pathology findings in surgery.
Missions, Fertility Transition, and the Reversal of Fortunes: Evidence from Border Discontinuities in the Emirates of Nigeria
Authors: Okoye Dozie , Pongou Roland 
Published: August 2022

Abstract
What are the origins of differences in fertility and economic transition across African societies? This paper addresses this question by causally estimating average and heterogeneous effects of colonial-era Christian missions on human capital accumulation, fertility decline, and household wealth in Nigeria. Our identification strategy exploits discontinuities in mission stations around the borders of the Emirates of Northern Nigeria, where missionary activities were restricted by the colonial administration. We find that areas with greater historical missionary activities have higher levels of schooling, lower levels of fertility, and higher household wealth today. The long-run effect of missions is not found in areas with early access to government schools, and is larger for population subgroups—women and Muslims—that have historically suffered disadvantages in access to education. Importantly, we show that the restriction of missions from the Emirates of Northern Nigeria has led to a reversal of fortunes, wherein areas that were more prosperous and institutionally developed in the past are relatively poorer today. The analysis provides novel insights into the differential pace of demographic transition between Northern and Southern Nigeria, and highlights patterns consistent with the prediction of Unified Growth Theory, whereby an improved technological environment leads to greater demand for education, triggering a fertility decline, resulting in higher incomes per capita.JEL Classification: I20, N30, N37, N47, O15, Z12.
A reproducible approach for scoring TIL in residual tumors after neoadjuvant treatment of breast cancer patients
Authors: Thomas Noemie , Garaud Soizic , Langouo Mireille , Sofronii Doïna , Boisson Anais , de Wind Roland , Duwel Valérie , Craciun Ligia , Larsimont Denis , Awada Ahmad , Willard-Gallo Karen 
Published: August 2022

Abstract
Neoadjuvant chemotherapy (NAC) is standard of care for patients with locally advanced breast cancer. TIL scoring is prognostic for response and has additional predictive value to the residual cancer burden after NAC. However, NAC induces various changes in the tumor bed and reliability of TIL scoring in post-NAC samples has not yet been studied. Pre- and post- NAC FFPE blocs from 60 patients were collected. H&E and dual CD3/CD20 chromogenic IHC-stained tissues were prepared and scored for global, stromal and intratumoral TIL by two experienced pathologists. Digital TIL scoring was preformed using the HALO® image analysis software. Comparison of the different scoring methods was done by calculation the concordance correlation coefficient (CCC), the Bland-Altman method and Passing-Bablok regression analysis. In patients with residual disease we demonstrate a good inter-pathologist correlation for global and stromal TIL on H&E stained tissue (CCC value 0.73, CI 0.53–0.85 for stromal TIL on H&E). Good correlation for scoring using the two staining methods (CCC 0.81, CI 0.67–0.90 for stromal TIL score) and with digital TIL scoring (CCC 0.77, CI 0.59–0.88) is demonstrated. There is only a poor to moderate reliability for intratumoral TIL scores. While overall concordance for TIL scoring in patients with a complete response is poor, there is a moderate inter-pathologist reliability for stromal TIL scoring on CD3/CD20 stained tissue. This study demonstrates a good reliability for TIL scoring in patients after NAC treatment, comparable to results in untreated breast cancer patients, in patients that have detectable residual tumor. Since there is a good concordance with digital TIL scoring, the development of a validated algorithm could be helpful in the future.
The Effect between Academic Stress and Non-Suicidal Self-Injury Behavior among Adolescents in Ethnic Areas: The Moderating Effect of Self-efficacy and Parental Supports
Authors: LAN Zhensong , Pau Kee , Yu Hapsah Binti Md , Huang Xuefang , Xu Ruiying 
Published: August 2022

Abstract
Background
Coupled with the importance parents attach to education in Chinese culture, which makes adolescents bear more pressure. Academic stress has always been one of the central pressures faced by Chinese adolescents, and there is a strong link between academic stress and the non-suicidal self-injury (NSSI) behavior of Chinese adolescents.
Methods
A cross-sectional study was conducted in 10 selected middle schools in Guangxi Province, China, to examine the relationship between academic stress and adolescents' NSSI behavior and further analyze the relationship between adolescents' self-efficacy and parental support in stress and NSSI. A total of 2344 children were included in the analysis, including 1142 boys (48.72%) and 1202 girls (51.28%).
Results
The prevalence of NSSI was not significant among adolescents of different ethnic groups (t=-1.48, p = 0.139), but academic stress had a positive effect on adolescents' NSSI behavior (R = -0. 246, p < 0.01). Self-efficacy and parental support can moderate the relationship between academic stress and NSSI behavior. The moderating effect of parental support is more robust than self-efficacy; the interaction of self-efficacy and parental support harms the relationship between adolescent stress and NSSI behavior, but for adolescents with high self-efficacy levels, the more likely it is to be is to cause adolescent NSSI behavior.
Conclusion
Academic stress harms adolescents' NSSI behavior, and self-efficacy and parental support can alleviate the negative effect of adolescent stress on NSSI behavior. However, it is necessary to provide appropriate parental support for adolescents with different levels of self-efficacy.
Long Term Cost Outcomes Among Commercially Insured Patients Undergoing Bariatric Procedures.
Authors: Shambhu Sonali , Ma Qinli , Pryor David , Karam Joseph , DeVries Andrea 
Published: August 2022

Abstract
Background: There has been a significant shift in the types of bariatric procedures being performed in the past decade, as procedures have become safer and less invasive, warranting a new data on long-term cost effectiveness. This study aims to examine the impact of bariatric procedures on a person’s long-term health care costs and compare how the impact differs by type of surgical procedure using 10-year data from 2009 -2018.Methods: This retrospective observational study compared the downstream health care cost of patients with obesity who had bariatric surgery to a matched nonsurgical cohort. Results: A total of 83 882 health plan enrollees who underwent bariatric surgery between January 2009 to December 2018, and a 1:1 matched group of health plan enrollees who were obese (body mass index≥30 kg/m2) but did not undergo bariatric surgery. The surgical group was associated with lower overall health care cost compared to the matched non-surgical group (cost ratios ranged 0.77 to 0.97, p values<.01). Lower costs were sustained during the initial six years following surgery. Majority of the cost savings came from reduced spending on prescription medications, particularly antidiabetics. However, the saving didn’t offset the initial surgery cost. Among the three most performed bariatric surgical procedures, sleeve gastrectomy was the most cost-effective.Conclusions: Post bariatric surgery cost savings have increased due to less complications and reduced medication spending, but the initial cost of bariatric surgery remains high than the savings incurred over years. This study provides recent economic data to inform policy makers and employers in designing benefits for bariatric procedures.
Partial arch replacement of type A aortic dissection after thoracic endovascular aortic repair for type B dissection
Authors: Nakajima Tomohiro , Iba Yutaka , Shibata Tsuyoshi , Nakazawa Jyunji , Ogura Keishi , Kawaharada Nobuyoshi 
Published: August 2022

Abstract
We herein describe a 58-year-old man with type A aortic dissection due to stent graft-induced new entry (SINE). Six years previously, he had developed severe back pain and was diagnosed with type B aortic dissection after computed tomography examination. Because the primary entry was positioned at the descending aorta, we conducted thoracic endovascular aortic repair for exclusion of the entry with a GORE TAG conformable thoracic aortic. He was thereafter followed by our hospital. Six years later, he developed jaw pain and was examined at another hospital. He was transferred to our hospital because of the possibility of type A dissection. Computed tomography revealed type A aortic dissection with proximal site SINE. Emergency partial arch replacement was conducted, and he was discharged on postoperative day 27. Because the entry was at the lesser curve of the arch, we excluded the entry and conducted partial arch replacement.
Topographical and Morphological Feature studies of Valles Marineris, Mars by Mars Color Camera onboard Mars Orbiter Mission with MOLA data
Authors: Sivasankari T. , Arivazhagan S. 
Published: August 2022

Abstract
In the present study, the Valles Marineris Province of Mars, have been selected for morphological analysis by using the Mars Colour Camera (MCC) on board Mars Orbiter Mission (MOM), commonly called as Mangalyaan. Mars Colour Camera (MCC) images the complete Mars with a spatial resolution of nearly 4 km to 19 m. Features like, fractured terrains, plateau, landslides, yardangs, impact craters were mapped using MCC. The topographic analysis were done using the MOLA data indicating that Noctis Labrynthus has the highest elevation of ~ 7500 m, Melas Chasma and Coprates Chasma has the lowest depth of about ~ -5000m. Fractured terrain shows the tectonic activity whereas, the presence of plateau, mesa and yardangs shows the abundance of aeolian activity, Chaotic terrain shows that they are plateau remnants and the presence of landslide and slide materials shows that the landslide had occurred due gravity or due to the underground water movement.
Malicious iOS apps detection through Multi-Criteria Decision-Making Approach
Authors: Bhatt Arpita Jadhav , Sardana Neetu 
Published: August 2022

Abstract
Smartphones are used in daily lives because they are ubiquitous and provide internet connectivity. Their functionalities can be extended by installing third-party apps. Users are compelled to use these feature-rich apps. As a result, the menaces because of these apps have increased. Smartphones store more users’ personal than compared to data stored on desktops since they remain with individuals throughout the day making them an easy target for intruders. Apple follows permission-based access control to prevent users’ privacy. Every app declares the permission, which is notified to the user during app usage. However, the users are unaware of whether the app is breaching their privacy? To combat this problem, we propose a hybrid approach to detect malicious iOS apps based on their permissions. In the first phase, weights have been assigned to app permissions using a multi-criteria decision-making approach namely Analytic Hierarchy Process (AHP). In the second phase, machine and ensemble learning techniques have been employed for detecting malicious apps. To test the efficacy of the proposed method dataset comprising 1150 apps from 12 app categories has been used. The experimental results demonstrate the proposed approach improves the efficacy of detecting malicious iOS apps for majority of categories.
Implementing AI-based Conversational Chatbots in EFL Speaking Classes: An Evolutionary Perspective
Authors: Mahmoud Rehab Hassan 
Published: August 2022

AbstractIn the twenty first century, artificial intelligence (AI) has undergone an unprecedented development as a result of the advancements in computer science as well as the ability to access and store data. The present study aims not only to investigate the impact of AI-based conversational chatbots on learning in general and students’ speaking skills in particular, but also to enhance students’ engagement in educational settings. In the present study, two theories of learning; namely, the Situated Learning theory and the Self-regulated theory were adopted in the face-to-face classroom. The researcher collected data about the required variables by both a questionnaire and a pre-test and a post-test. The data have been analysed using standard statistical techniques. Based on both a Chi-square and a correlations test, results indicated that there is a positive impact of the integration of conversational chatbots on EFL learners’ speaking performance in the post-test of the present study.
Improvement of small scale dolomite mine blast fragmentation efficiency using hybrid artificial intelligence and soft computing approaches-A case study
Authors: Taiwo Blessing Olamide 
Published: August 2022

Abstract
Blast fragmentation efficiency prediction can enhance the improvement of blast productivity and the prediction using available software is capital expensive. This study proposed soft computing models based on artificial intelligence approaches and multivariate regression techniques to predict small diameter hole blast fragmentation efficiency at the Akoko Edo dolomite quarry. WipFrag software was used to analyze blast muck pile pictures taken and to evaluate the blast fragmentation performance. The proposed model performance was checked with five model performance indices including average bias error, root means square error, correlation coefficient, and average absolute error were computed. The obtained result reveals that the Adaptive Neuro-fuzzy inference system (ANFIS) proposed model is capable of accurate prediction of blast fragmentation efficiency as compared with artificial neural networks and Multivariate regression models. Sensitivity analysis computed shows that the Powder factor has the highest influence on fragmentation efficiency.