bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relevance of pepsinogen, gastrin, and endoscopic atrophy in the diagnosis of autoimmune gastritis
Authors: Kishikawa Hiroshi , Nakamura Kenji , Ojiro Keisuke , Katayama Tadashi , Arahata Kyoko , Takarabe Sakiko , Sasaki Aya , Miura Soichiro , Hayashi Yukie , Hoshi Hitomi , Kanai Takanori , Nishida Jiro 
Published: March 2022

AbstractSimple objective modalities are required for evaluating suspected autoimmune gastritis (AIG). This cross-sectional study aimed to examine whether pepsinogen, gastrin, and endoscopic findings can predict AIG. The diagnostic performance of endoscopic findings and serology in distinguishing AIG was evaluated. AIG was diagnosed in patients (N = 31) with anti-parietal cell antibody and/or intrinsic factor antibody positivity and histological findings consistent with AIG. Non-AIG patients (N = 301) were seronegative for anti-parietal cell antibodies. Receiver operating characteristic curve analysis of the entire cohort (N = 332) identified an endoscopic atrophic grade cutoff point of O3 on the Kimura–Takemoto classification (area under the curve [AUC]: 0.909), while those of pepsinogen-I, I/II ratio, and gastrin were 20.1 ng/mL (AUC: 0.932), 1.8 (AUC: 0.913), and 355 pg/mL (AUC: 0.912), respectively. In severe atrophy cases (≥ O3, N = 58, AIG/control; 27/31), the cutoff values of pepsinogen-I, I/II ratio, and gastrin were 9.8 ng/mL (AUC: 0.895), 1.8 (AUC: 0.86), and 355 pg/mL (AUC: 0.897), respectively. In conclusion, endoscopic atrophy is a predictor of AIG. High serum gastrin and low pepsinogen-I and I/II ratio are predictors even in the case of severe atrophy, suggesting their usefulness when the diagnosis of AIG is difficult or as serological screening tests.
Epidemiology of undiagnosed type 2 diabetes mellitus among hill tribe adults in Thailand
Authors: Apidechkul Tawatchai , Chomchoei Chalitar , Upala Panupong 
Published: March 2022

AbstractA community-based cross-sectional study was performed to estimate the prevalence of and determine factors associated with undiagnosed type 2 diabetes (T2DM) among hill tribe adults aged 30 years and over. Data were collected from the target hill tribe people living in the 30 selected villages in Chiang Rai Province in northern Thailand. A total of 2365 people were invited to participate in the study; 65.9% were female, 72.4% were aged 40–69 years, 0.9% regularly received preventive healthcare, and only 41.2% understood Thai. The overall prevalence of undiagnosed T2DM was 7.5%. After adjusting for age and sex, two factors were found to be associated with T2DM: triglycerides and high-density lipoprotein cholesterol (HDL-C). Those with high triglyceride levels were 2.80 (95% CI 1.99–3.94) times more likely to be suffering from T2DM than those with a normal triglyceride level. Those with low HDL-C levels were 1.65 (95% CI 1.16–2.34) times more likely to be suffering from T2DM than those with normal HDL-C. Appropriate public health interventions should be developed and implemented to reduce T2DM by providing regular preventive healthcare, educating patients on DM prevention and control, and encouraging regular exercise and reduced consumption of fatty food.
A perturbation approach for ultrafast calculation of RF field enhancements near medical implants in MRI
Authors: Stijnman Peter R. S. , Steensma Bart R. , van den Berg Cornelis A. T. , Raaijmakers Alexander J. E. 
Published: March 2022

AbstractPatients with medical implants often are deprived of magnetic resonance imaging examination because of safety risks. One specific risk is the enhancement of the radiofrequency fields around the medical implant potentially resulting in significant tissue heating and damage. The assessment of this enhancement is a computationally demanding task, with simulations taking hours or days to converge. Conventionally the source of the radiofrequency fields, patient anatomy, and the medical implant are simulated concurrently. To alleviate the computational burden, we reformulate a fast simulation method that views the medical implant as a small perturbation of the simulation domain without the medical implant and calculates the radiofrequency fields associated with this perturbation. Previously, this method required an extensive offline stage where the result is intractable for large simulation domains. Currently, this offline stage is no longer required and the method is completely online. The proposed method results in comparable radiofrequency fields but is orders of magnitude faster compared to standard simulation technique; the finite-difference time-domain, the finite-sums, and the finite element methods. This acceleration could enable patient-specific and potentially online radiofrequency safety assessment.
Short-term inhalation of isoflurane improves the outcomes of intraportal hepatocyte transplantation
Authors: Nishimaki Hiroyasu , Saitoh Yoshikatsu , Inagaki Akiko , Nakamura Yasuhiro , Imura Takehiro , Fathi Ibrahim , Yamana Hiroki , Ohashi Kazuo , Miyagi Shigehito , Kamei Takashi , Unno Michiaki , Goto Masafumi 
Published: March 2022

AbstractClinical hepatocyte transplantation (HTx) is only performed without general anesthesia, while inhalation anesthetics are usually used in animal experiments. We hypothesized that isoflurane may be a possible reason for the discrepancy between the results of animal experiments and the clinical outcomes of HTx. Syngeneic rat hepatocytes (1.0 × 107) were transplanted to analbuminemic rats with (ISO group) and without (AW group) isoflurane. The serum albumin, AST, ALT, LDH levels and several inflammatory mediators were analyzed. Immunohistochemical staining and ex vivo imaging were also performed. The serum albumin levels of the ISO group were significantly higher in comparison to the AW group (p < 0.05). The serum AST, ALT, LDH levels of the ISO group were significantly suppressed in comparison to the AW group (p < 0.0001, respectively). The serum IL-1β, IL-10, IL-18, MCP-1, RNTES, Fractalkine and LIX levels were significantly suppressed in the ISO group. The ischemic regions of the recipient livers in the ISO group tended to be smaller than the AW group; however, the distribution of transplanted hepatocytes in the liver parenchyma was comparable between the two groups. Isoflurane may at least in part be a reason for the discrepancy between the results of animal experiments and the clinical outcomes of HTx.
Sequential IVM by CNP preincubation and cooperating of PGE2 with AREG enhances developmental competence of SCNT reconstructs in goat
Authors: Assareh Nazanin , Shahemabadi Mahya , Varnosfaderani Shiva Rouhollahi , Jafarpour Farnoosh , Hajian Mehdi , Nasr-Esfahani Mohammad Hossein 
Published: March 2022

AbstractDevelopmental competence of in vitro matured cumulus oocyte complexes (COCs) in conventional IVM (C.IVM) is lower than in vivo maturated COCs and is related to unsynchronized nuclear and cytoplasmic maturation. To overcome this dearth, COCs can be exposed to granulosa secreted factors in a two-step system. Therefore, in the first experiment, 1000 nM of C-type natriuretic peptide for 8 h was determined (CAPA), as the best time and concentration to retain oocytes in germinal vesicle stage. This condition, also reduces lipid droplets and increases the expression ofATGLandPLIN2involved in lipolysis and lipogenesis, respectively. In the second experiment, maturation was stimulated with prostaglandin E2 and amphiregulin for 18 h (CAPA-IVM), and their optimal concentrations based on blastocyst formation rates through in vitro fertilization (IVF) were determined as 1 and 600 nM, respectively. In the third experiment, the in vitro and in vivo developmental competency of SCNT embryos in CAPA-IVM group were determined. Despite similar blastocyst formation rates in IVF and SCNT between CAPA-IVM and C.IVM, the quality of blastocysts were quality was higher in CAPA-IVM, which reflected itself, as higher ICM/TE ratio and also expression ofNANOGin SCNT blastocysts. Pregnancy rate, live births rate and SCNT efficiency were not significant between CAPA-IVM and C.IVM groups. Therefore, CAPA-IVM can improve the developmental competency of SCNT derived embryos.
Soil-based nano-graphene oxide and foliar selenium and nano-Fe influence physiological responses of 'Sultana' grape under salinity
Authors: Aazami Mohammad Ali , Mehrabani Lamia Vojodi , Hashemi Tahereh , Hassanpouraghdam Mohammad Bagher , Rasouli Farzad 
Published: March 2022

AbstractSalinity is a worldwide stressor that influences the growth and productivity of plants. Some novel compounds like; graphene oxide and nutrients such as Se and Fe especially as nano form may improve plant responses to the environmental stress factors. The soil-based graphene oxide (0, 50, and 100 g kg−1) and the foliar applications of Se and nano-Fe (control and 3 mg L−1) were assayed on grapevine cv. Sultana under salinity (0, 50, and 100 mM NaCl). The top flavonoids, chlorophyll b, and plant dry weight belonged to graphene oxide and nano-Fe applications. CAT activity was improved in response to Se, nano-Fe, and graphene oxide (50 g kg−1). The least Fe, K, Se, N, Mg, Mn, and Zn content was recorded for 100 mM NaCl. In contrast, the higher data for K, Se, Ca, Mg, Zn and Mn were acquired with graphene oxide × foliar treatments. In general, graphene oxide treatment (50 g kg−1) × nano-Fe and Se foliar use ameliorated the adverse salinity effects with the improved biochemical and physiological responses of Sultana grape.
Toward fully automated UED operation using two-stage machine learning model
Authors: Zhang Zhe , Yang Xi , Huang Xiaobiao , Shaftan Timur , Smaluk Victor , Song Minghao , Wan Weishi , Wu Lijun , Zhu Yimei 
Published: March 2022

AbstractTo demonstrate the feasibility of automating UED operation and diagnosing the machine performance in real time, a two-stage machine learning (ML) model based on self-consistent start-to-end simulations has been implemented. This model will not only provide the machine parameters with adequate precision, toward the full automation of the UED instrument, but also make real-time electron beam information available as single-shot nondestructive diagnostics. Furthermore, based on a deep understanding of the root connection between the electron beam properties and the features of Bragg-diffraction patterns, we have applied the hidden symmetry as model constraints, successfully improving the accuracy of energy spread prediction by a factor of five and making the beam divergence prediction two times faster. The capability enabled by the global optimization via ML provides us with better opportunities for discoveries using near-parallel, bright, and ultrafast electron beams for single-shot imaging. It also enables directly visualizing the dynamics of defects and nanostructured materials, which is impossible using present electron-beam technologies.
Multicenter clinical outcomes of hole implantable collamer lens implantation in middle-aged patients
Authors: Igarashi Akihito , Kamiya Kazutaka , Ichikawa Kazuo , Kitazawa Yoshihiro , Kojima Takashi , Nakamura Tomoaki , Shimizu Kimiya 
Published: March 2022

AbstractTo assess the multicenter clinical outcomes of the implantation of hole implantable collamer lens (Hole ICL, ICL KS-AquaPORTTM; STAAR Surgical, Nidau, Switzerland) in patients of 45 years or more. We retrospectively assessed the surgery’s safety, efficacy, predictability, stability, and adverse events before surgery and after the surgery at 1 week; 1, 3, and 6 months; and 1 year, followed by once every year for approximately 2.2 years. A total of 118 eyes of 65 patients aged 45–65 years with myopic refractive errors ranging from − 2.13 to − 18.75 diopters (D) underwent hole ICL implantation and routine postoperative examinations. The average observation period was 2.2 ± 1.0 years. The safety and efficacy indices were 1.08 ±  0.21 and 0.87 ± 0.25, respectively. Manifest refraction changes of − 0.20 ± 0.43 D occurred from 1 month to the final visit after ICL implantation. Eight eyes (6.8%) developed asymptomatic anterior subcapsular cataract (ASC) immediately after surgery, and three eyes (2.5%) developed clinically significant symptomatic nuclear cataracts during the follow-up period. According to our experience, hole ICL implantation offered favorable outcomes in all measures of safety, efficacy, predictability, and stability, even in middle-aged patients, during the 2.2-year observation period.
Are pure hydrocarbons the future of host materials for blue phosphorescent organic light-emitting diodes?
Authors: Poriel Cyril , Rault-Berthelot Joëlle , Jiang Zuo-Quan 
Published: March 2022

This Chemistry Frontiers deals with a new generation of host materials for phosphorescent OLEDs only constituted with carbon and hydrogen atoms, which can be beneficial for the future development of the OLED industry.
From a Distance: Comparison of In-Person and Virtual Assessments With Adult–Child Dyads From Linguistically Diverse Backgrounds
Authors: Pratt Amy S. , Anaya Jissel B. , Ramos Michelle N. , Pham Giang , Muñoz Miriam , Bedore Lisa M. , Peña Elizabeth D. 
Published: March 2022

Purpose:
Our proof-of-concept study tested the feasibility of virtual testing using child assessments that were originally validated for in-person testing only.

Method:
Ten adult–child dyads were assigned to complete both in-person and virtual tests of language, cognition, and narratives. Child participants fell between the ages of 4 and 8 years; adult participants were speech-language clinicians or researchers with experience in administering child assessments. Half of child participants were Spanish–English bilinguals, and half were monolingual English speakers.

Results:
Results showed similar performance across in-person and virtual modalities on all assessments. Recommendations for adapting, administering, and scoring virtual measures with linguistically diverse children are discussed.

Conclusions:
Although additional research on virtual assessment is needed, our results open opportunities for appropriate remote assessment, particularly for bilingual children, who may not have in-person access to speech-language pathology services.
Secrecy‐oriented user association in ultra dense heterogeneous networks against strategically colluding adversaries
Authors: Su Gongchao , Dai Mingjun , Chen Bin , Lin Xiaohui , Wang Hui 
Published: March 2022

AbstractNetwork densification is recognized as the key technology to meet the ever growing demand of data traffic in next generation wireless networks. However the proliferation of small cell base stations (SCBSs) introduces vulnerabilities to information security, as they are prone to eavesdropping attacks. In this paper, it is studied how user association strategies can be specifically tailored to meet this security challenge in a ultra dense heterogeneous cellular network(UDHCN) with a group of colluding eavesdroppers. In particular, the situation is considered where eavesdroppers may have limited capabilities in intercepting and decoding data traffic. In this setting each eavesdropper has to make its own decision on eavesdropping targets, and they are able to take concerted actions to sabotage information security. To address this challenge, a zero sum game framework to reflect the conflicting interests of users and eavesdroppers is proposed and a user association scheme is devised that aims to maximize system sum secrecy rate against these adversaries whose actions intend to minimize sum secrecy rate. The case that all adversaries have limited eavesdropping capabilities is first considered, and it is shown that the corresponding zero sum game is indeed a bilinear game, and its Nash equilibrium solution can be readily approximated using a saddle point Frank Wolfe(SP‐FW)algorithm. Then the framework is extended to the case where adversaries with a diverse configuration of eavesdropping capabilities exist. In this case, it is shown that the underlying minimax optimization problem is indeed a nonsmooth convex‐nonconcave one. A two stage method is proposed by first smoothing the objective function with a Hermite cubic polynomial approximation, and then obtaining a nearly stationary solution via a recently proposed proximal point gradient descent method. Simulation results show that the proposed framework leads to significant increases in sum secrecy rate and secrecy probability against both the capability‐limited adversaries and a hybrid type of adversaries.
Multi‐scale feature combination for person re‐identification
Authors: Huang Bailiang , Piao Yan , Zhang Hao , Tang Yanfeng 
Published: March 2022

AbstractPerson re‐identification (Re‐ID) is an instance‐level task of image retrieval, and its identification accuracy depends on the distinguishable features extracted from people. However, most identification methods based on deep learning only mechanically extract distinguishable features of person images, and some important details are frequently overlooked. For scenes with substantial background differences or occlusions, the Re‐ID efficiency is not high and the network scalability is not good. Here, the authors propose a multi‐scale feature combination network (MFC‐Net) model that combines structural feature information with global comprehensive feature information of the person images through a convolution neural network that can effectively retain distinguishing character detail information. The authors also propose a Gaussian stochastic pooling layer to solve the defects of the pooling layer. For the problem of many network parameters and weak performance, the authors propose an attentive feature convolutions layer. The authors perform many comparative experiments on three benchmark datasets. The results prove that our MFC‐Net model performs well in person Re‐ID and that its identification accuracy is higher than that of other investigated models.
Use of Biologic Agents in Nasal and Scalp Reconstruction
Authors: Depani Monal , Grush Andrew E. , Parham Matthew J. , Jones Lloyd M. , Thornton James F. 
Published: March 2022

AbstractOncologic reconstruction of the nose and scalp following Mohs micrographic surgery poses a significant challenge for plastic surgeons. While these defects are traditionally reconstructed using primary closure techniques, skin grafts, local flaps, pedicled flaps, and free tissue transfer, the incorporation of biologic healing wound agents such as Integra and Cytal provides patients and surgeons with alterative reconstructive options without additional donor site morbidity. Herein, we review the use of biologic agents used in soft tissue reconstruction of the nose and scalp following Mohs surgery.
Molecular Response Assessment with Immune Adaptive PERCIST in Lung Cancer Patients Treated with Nivolumab: Is It Better Than iRECIST?
Authors: Gupta Manoj , Choudhury Partha S. , Jain Parveen , Sharma Manish , Koyyala Venkata P. B. , Goyal Sumit , Agarwal Chaturbhuj , Jajodia Ankush , Pasricha Sunil , Sharma Anurag , Batra Ullas 
Published: March 2022

Abstract
Aims We compared the immune response evaluation criteria in solid tumors (iRECIST) with immune adaptive positron emission tomography response criteria in solid tumors (imPERCIST) in lung cancer patients treated with nivolumab.
Materials and Methods Twenty lung cancer patients underwent fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) scan at baseline (PET-0), after four cycles (PET-1) and six to eight cycles (PET-2) of nivolumab were included. Kappa coefficient (k) was derived to see the level of agreement in two response criteria. Progression-free survival (PFS) curves were computed by the Kaplan–Meier method and compared with the Log Rank test. Univariate and multivariate regression for the percentage change in the sum of diameters (SoD), standard uptake value maximum (SUVmax), sum of metabolic tumor volume (SoMTV), and sum of total lesion glycolysis (SoTLG) was computed. A p-value less than 0.05 was considered significant.
Results Kappa coefficient showed a substantial level of agreement (k 0.769) in two response criteria. Mean PFS in partial response, stable disease, and progressive disease (PD) patients in iRECIST and imPERCIST was 27.3, 17.7, 4.2, and 23.3, 18.8, 3.8 months, respectively. The Kaplan–Meier method with the log rank test showed a significant difference in PFS on intracomparison within both criteria; however, it was not significant on intercomparison. On univariate analysis, the percentage change in SoD, SoMTV, SoTLG was significant. However, on multivariate analysis, only percentage change in SoD was a significant predictor.
Conclusions We concluded that imPERCIST was equally effective as currently recommended criteria iRECIST for response evaluation of nivolumab in lung cancer patients.
Occupational external exposure to ionizing radiation in research-associated activities in Iran (2015-2020)
Authors: Hosseini Pooya S M , Hosseinipanah M 
Published: March 2022

Abstract
Research is an integral part of radiological and nuclear activities; thus, workers may receive different levels of occupational exposure. In the present study, occupational external exposure of workers was studied at the largest radiological and nuclear research institute of Iran from 2015–2020. The activities included research reactors, nuclear fuel cycle, development on radiopharmaceuticals and radioisotopes, particle accelerators, plasma and fusion, and nuclear agriculture. The average doses of the monitored and exposed workers were calculated to be 0.095 and 0.575 mSv, respectively, which were around their corresponding worldwide values. Moreover, the results showed that in comparison with other research activities, the workers in research reactors, nuclear fuel cycle, and development of radiopharmaceuticals and radioisotopes may face higher occupational risks. It could be, therefore, concluded that all the radiation protection measures have been effective at achieving safe research activities in Iran.
Soft measurement of ball mill load under variable working conditions based on deep transfer learning
Authors: Huang Peng , Guo Jiaming , Sang Gao , Miao Qiuhua , Jia Minping 
Published: March 2022

AbstractIn actual industrial production, labeled sample data of a ball mill is difficult to obtain under variable working conditions. Aiming to realize the soft measurement of ball mill load under variable working conditions, a joint discriminative high-order moment alignment network (JDMAN) is proposed, based on the deep transfer learning in this paper. With this method, discriminative features were learned through jointly training labeled samples belonging to the source domain and unlabeled samples belonging to the target domain. Simultaneously, the features learned by a deep convolution network were aligned and clustered through central moment discrepancy and center loss to accomplish transfer. The comparison with other transfer methods indicates that the proposed JDMAN can effectively promote the accuracy of soft measurement under variable working conditions.