bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Surgical Microscope and Illuminated Chopper on Anterior Chamber Temperature
Authors: Eom Youngsub , Lee Young Joo , Song Jong Suk , Kim Hyo Myung , Nam Dong Heun 
Published: October 2022

Abstract
Background

To evaluate the effect of the light intensity of the surgical microscope and illuminated chopper on the anterior chamber temperature.

Study Design

Experimental study.

Methods

A model eye (Kitaro WetLab System; FCI Ophthalmics, Pembroke, MA, USA) was used in this experimental study. The illuminance of a surgical microscope (Leica M300; Leica Microsystems, Wetzlar, Germany) and illuminated chopper (iChopper NAM-25GB; Oculight, Korea) with a light source (iVision; Oculight) was measured using an illuminometer. In addition, the temperature in the anterior chamber of the model eye filled with balanced salt solution when using the surgical microscope with a light intensity from level 1 to level 6 and the illuminated chopper at 99% light intensity was measured for 10 min.

Results

The anterior chamber temperature was increased by 0.2, 0.5, 1.0, and 1.4 ℃ when using the surgical microscope at level 3 (10050 lux), 4 (16490 lux), 5 (24900 lux), and 6 (32500 lux), respectively, for 10 min. The illuminated chopper at 99% light intensity (14893 lux) positioned in the anterior chamber increased the anterior chamber temperature by 0.2° C, which was equal to the increase in the temperature caused by the surgical microscope at level 3.

Conclusion

The photothermal effect of the illuminated chopper directly positioned in the anterior chamber appeared to be similar to that of a microscope with similar illuminance. Therefore, the illuminated chopper may be safely used in cataract surgery.
The effects of spin-orbit coupling on optical properties of monolayer MoS2 due to mechanical strains
Authors: rezania hamed , abdi mona , nourian erfan , astinchap bandar 
Published: October 2022

Abstract
We have studied the optical conductivity of a quasi two-dimensional MoS2 in the presence of external magnetic field and spin-orbit coupling. Specially, we address the frequency dependence of optical conductivity due to spin-orbit interaction. Using linear response theory the behavior of optical conductivity has been obtained within Green's function method. We have also considered the effects of uniaxial and biaxial in-plane strain on the optical absorption of MoS2 layer. In the absence of external magnetic field with negative uniaxial strain parameter, optical conductivity includes Drude weight at zero frequency limit while Drude weight vanishes for MoS2 layer under positive uniaxial strain. Our results show that the increase of uniaxial positive strain parameter causes to move the position peak to the higher frequencies. In contrast to uniaxial strain case, the Drude weight in optical conductivity appears at positive biaxial strain value ε=0.15. Also we have studied the effects of magnetic field, electron doping, hole doping in the presence of spin-orbit coupling on frequency dependence of optical conductivity of MoS2 in details. The magnetic field dependence of optical absorption shows a monotonic decreasing behavior for each value of temperature in the absence of strain parameter.
PACS numbers: 75.10.Jm, 75.30.Mb, 75.30.Kz, 75.40.Mg
Biomacromolecule supported N-heterocyclic carbene-palladium(II) as a novel catalyst for Suzuki-Miyaura and Mizoroki-Heck cross-coupling reactions
Authors: Antony Arnet , Chamanmalik Masira , Kandathil Vishal , Sampatkumar Harini , Sasidhar B. S. , Yelamaggad C. V. , Patil Siddappa 
Published: October 2022

Abstract
The field of catalysis is ever flourishing to meet the challenges faced in our day-to-day needs keeping in mind the environmental concerns. In line with this quest, a new N-heterocyclic carbene-palladium(II) complex grafted on cellulose, a naturally available biomacromolecule from agriculture waste sugarcane bagasse (Cellu@NHC-Pd) was synthesized as a heterogeneous catalyst. The facile multistep synthesis was achieved using low-cost chemicals and mild reaction conditions. The characterization of the Cellu@NHC-Pd heterogeneous catalyst by various analytical techniques such as FT-IR, FE-SEM, EDS, HR-TEM, TG/DTA, ICP-OES and p-XRD confirmed its structure, morphology, thermal stability and chemical composition. The Cellu@NHC-Pd heterogeneous catalyst was successfully investigated for its catalytic ability in Suzuki-Miyaura and Mizoroki-Heck cross-coupling reactions under green reaction medium at ambient temperature. The heterogeneous catalyst was examined for its catalytic effectiveness in the cross-coupling reactions for various parameters like solvent, base, temperature, time and catalyst loading. Additionally, the developed heterogeneous catalyst showed very good tolerance to a variety of functional groups. Being heterogeneous, the catalyst could be easily recovered by simple filtration. The Cellu@NHC-Pd heterogeneous catalyst can be additionally probed for its catalytic excellence in other applications.
Precoding-based Complex Field Network Coding Strategy for Multi-Source UAV Cooperative System
Authors: Zhao Mingfei , Xue Rui , Jiang Hang 
Published: October 2022

Abstract
Employing multiple UAVs as a swarm for investigation and surveillance can complete more complex missions. Since novel sensors equipped, vast amounts of data are continually generated as the increasing number of UAVs. Therefore, the process of multi-source data and the valuable information from the multi-source data is of significant importance. These data formats vary from traditional data to dynamic data with the characteristic of multi-source. Considering that vast amounts of multi-source data from UAV swarm require higher throughput performance of transmission schemes, complex field network coding (CFNC) is selected for UAV cooperative system. However, adverse effects like inter-user interference of fading channels will limit the reliability performance of UAV cooperative system. To improve the reliability performance and recover more accurate valuable information, we propose a precoding-based CFNC strategy for multi-source UAV cooperative system. The proposed transmission scheme processes data through precoding matrix, which is obtained by the transformation of channel state matrix. Compared to conventional CFNC schemes, precoding-based CFNC scheme improves the accuracy of detections. Through theoretical analysis and experimental results, the precoding-based CFNC transmission scheme not only maintains high throughput, but also recover more valuable information and achieves better reliability performance.
Clinical and pathological characterization of 158 consecutive and unselected oligometastatic breast cancers in a single institution
Authors: LACAZE Jean-Louis , Glemarec Gauthier , Chira Ciprian , Ung Mony , Massabeau Carole , Monselet Niels , Cassou-Mounat Thibaut , De Maio Eleonora , Jouve Eva , Perrière Clemence Brac de la , Selmes Gabrielle , Nicolai Vincent , Cabarrou Bastien , Dalenc Florence 
Published: October 2022

Abstract
Purpose: Data about incidence, biological and clinical characteristics of oligometastatic breast cancer (OMBC) are scarce. However, these data are essential in determining optimal treatment strategy. Gaining knowledge of these elements means observing and describing large, recent, and consecutive series of OMBC in their natural history.
Methods: We collected data retrospectively at our institution from 998 consecutive patients diagnosed and treated with synchronous or metachronous metastatic breast cancer (MBC) between January 2014 and December 2018. The only criterion used to define OMBC was the presence of one to five metastases at diagnosis.
Results: Of 998 MBC, 15.8% were classified OMBC. Among these, 88% had one to three metastases, and 86.7% had only one organ involved. Bone metastases were present in 52.5% of cases, 20.9% had progression to lymph nodes, 14.6% to the liver, 13.3% to the brain, 8.2% to the lungs, and 3.8% had other metastases. 55.7% had HR+/HER2- OMBC, 25.3% had HER2+ OMBC, and 19% HR-/HER2- OMBC. The HR+/HER2- subtype statistically correlated with bone metastases (p=0.001), the HER2+ subtype with brain lesions (p=0.001), and the HR-/HER2- subtype with lymph node metastases (p=0.008). Visceral metastases were not statistically associated with any OMBC subtypes (p=0.186). OMBC-SBR grade III was proportionally higher than in the ESME series of 22,109 MBC (49.4% vs. 35.2%, p< 0.001).
Conclusion: OMBC is a heterogeneous entity whose incidence is higher than has commonly been published. Not an indolent disease, each subgroup, with its biological and anatomical characteristics, merits specific management.
Proximalizing climate change to farmers: Improving risk communications using the lens of psychological distance
Authors: Yazdanpanah Masoud , Zobeidi Tahereh , (Sanagorski) Laura A. Warner , Sieber Stefan , Löhr Katharina 
Published: October 2022

Abstract
This study uses Construct Level Theory (CLT) to investigate Iranian farmers' beliefs in climate change occurrence and their adaptive behaviors to reduce its impacts. In the framework of CLT, people who perceive themselves to be psychologically close (proximal) to events and objects are better able to make decisions about them, while people seeing themselves as psychologically distant (distal) are less able to do so. CLT is thus a useful lens for examining the role of psychological distance in Iranian farmers' willingness to perform climate change adaptation behaviors. The current study aims to explore the relation between the four core dimensions of psychological distance—geographical/spatial; social; temporal; and hypothetical/uncertain—and their influence on farmers' beliefs, risk perceptions, and adaptation behavior relating to water management. This study contributes toward effective risk communication by agricultural extension and advisory services in Iran and beyond. The results of structural equation modeling confirm that all four dimensions of psychological distance impact water management adaptation strategies and non-farm activities. Moreover, all psychological dimensions, except the temporal dimension (i.e., the perceived time until the occurrence of climate change), affect adaptation in farming management. Thus, making climate change more proximal to decision makers could be a strategic way of encouraging individuals to take adaptive actions. This study emphasizes that concepts of psychological distance can be applied to help organizations (e.g. agriculture extension services) understand farmers’ risk perceptions and responses to climate change impacts and improve risk communication to better engage farmers in climate action.
Task Offloading Optimization Mechanism based on Deep Neural Network in Spatio-temporal Crowdsourcing
Authors: Meng Lingkang , Wang Yingjie , Wang Haipeng , Tong Xiangrong , Sun Zice , Cai Zhipeng 
Published: October 2022

Abstract
With the rise of edge computing technology and the development of intelligent mobile devices, task offloading in the edge cloud environment has become a research hotspot. Task offloading is also a key research issue in Mobile CrowdSourcing (MCS), where crowd workers collect sensed data through smart devices they carry and offload to edge servers or perform computing tasks locally. Current researches mainly focus on reducing resource consumption in edge servers, but fails to consider the conflict between resource consumption and service quality. Therefore, this paper considers the learning generation offloading strategy among multiple Deep Neural Network (DNN), proposed a Deep Neural Network-based Task Offloading Optimization (DTOO) algorithm to obtain an approximate optimal task offloading strategy to solve the conflict between resource consumption and service quality. In addition, a stack-based offloading strategy is researched. The resource sorting method allocates computing resources reasonably, thereby reducing the probability of task failure. Compared with the existing algorithms, the DTOO algorithm could balance the conflict between resource consumption and service quality in traditional MCS applications on the premise of ensuring a higher task completion rate.
Biomechanical effects of sacroiliac screw length and fixation segments in sacral fractures treated by triangular osteosynthesis
Authors: Ma Yupeng , Li Yu , Hong Huanyu , Huang Tao , Lin Jiangtao , Zhao Yong 
Published: October 2022

Abstract
[Objective] To examine the impact of altering the sacroiliac screw's position and length on the biomechanical properties of the triangle osteosynthesis used to treat unilateral vertical sacral fractures and serve as a clinical reference.
[Methods] Unilateral sacral fracture of type Denis II was modeled using finite elements to represent the Tile C pelvic ring damage. Fixation of sacral fractures using six triangular osteosynthesis patterns. To compare sacral stability, fracture separation values and maximum von Misses stress of internal fixation after fixation of sacral fractures by each internal fixation mode.
[Results] The best vertical stability occurs with lengthened sacroiliac screws for simultaneous fixation of S1S2 segments. Moreover, the fracture separation value was the smallest, the internal fixation stress distribution was uniform, and the maximum von Mills stress of internal fixation was the minimum.
[Conclusions] In unilateral vertical fracture of the sacrum (AO C3.1 DENISS II) treated with triangular osteosynthesis, S1-segment + S2-segment extended sacroiliac screw fixation results in optimal vertical sacral stability, fracture end stability, uniform internal fixation stress, and a lower risk of screw fracture. If only single-segment sacroiliac screws can be used, S1-segment extended sacroiliac screw fixation performs better.
DRD2 expression based on 18F-fallypride PET/MR predicts the dopamine agonist resistance of prolactinomas: A pilot study
Authors: Tang Hao , Cheng Yijun , Lou Xiaohui , Yao Hao , Xie Jing , Gu Weiting , Huang Xinyun , Liu Yanting , Lin Shaojian , Dai Yuting , Xue Li , Lin Xiaozhu , Wu Zhe Bao 
Published: October 2022

Abstract
Purpose
The dopamine agonists (DA) have been used widely to treat prolactinomas. However, it is difficult to predict whether the patient will be responsive to DA treatment.
Methods
We aimed to investigate whether the in vivo expression of DRD2 based on 18F-fallypride PET/MR could predict the therapeutic effect of DA on prolactinomas. Seven patients with prolactinomas who underwent surgery and further tumor immunohistochemistry completed 18F-fallypride PET/MR preoperatively. Imaging findings and immunohistochemical staining were compared with treatment outcomes.
Results
18F-fallypride PET/MR was visually positive in 7 of 7 patients, and DRD2 target specificity could be confirmed by immunohistochemical staining. A significantly lower tracer standard uptake value (SUV) could be detected in the resistant patients (n = 3) than in the sensitive patients (n = 4; SUVmean, 4.67 ± 1.32 vs. 13.57 ± 2.42, p < 0.05). DRD2 expression determined by 18F-fallypride PET/MR corresponded with the DA treatment response.
Conclusion
18F-fallypride PET/MR represents an effective diagnostic tool to predict DA response in patients with prolactinoma.
Integrated proteomics and metabolomics analysis of cardiac-tissue in mice with sepsis
Authors: Ji Heyu , Xiao Ting , Li Peijun , Yu Fei , Yu Rong , Yu Fengling , Ma Xinyu , Xu Junmei , Cui Yulong 
Published: October 2022

Abstract
Introduction: Sepsis remains a devastating disease with a high fatality rate in most nations. Heart failure accounts for around half of all deaths in sepsis patients. Because of the peculiarities of cardiac tissue, the specific mechanism of sepsis-induced cardiac dysfunction remains largely unknown.
Objectives: The goal of this study was to develop a more complete understanding of the molecular pathways of septic cardiomyopathy by doing an integrated proteome and metabolomics analysis on a sepsis-infected mouse model.
Methods: The CLP mice were utilized as a model in this study to investigate the impact of septic cardiomyopathy on the molecular changes in heart tissues through combining metabolomics and proteomics studies.
Results: The present findings suggest that 118 proteins (75-upregulated and 43-downregulated) and 138 metabolites (124-upregulated and 14-downregulated) were significantly altered. Additionally, these compounds play a significant role in biological processes, such as platelet activation, mineral absorption, drug metabolism, terpenoid backbone biosynthesis, and butanoate metabolism. The comprehensive analysis discovered that prostaglandin H2, prostaglandin I2, thromboxane A2, and L-Glutamine might play essential roles in combating sepsis-induced heart dysfunction.
Conclusions: Overall, this work adds to our understanding of the implications of sepsis-induced cardiac dysfunction and may lead to identifying novel potential biomarkers and a better understanding of sepsis pathophysiology.
Lactobacillus acidophilus CICC 6075 alleviates obesity in mice through modulation of gut microbiota dysbiosis
Authors: Zhuang Yun , Yang Shuai , Yang Dan , Gu Xiqun , Wang Yi , Chen Yang , Wang Zhenzhen , Chen Renjin 
Published: October 2022

Abstract
Background
Obesity associated with lipid metabolism dysbiosis and intestinal dysbiosis is considered as a major healthcare problem worldwide. In the meanwhile, different probiotics have demonstrated beneficial effects on this condition, thus increasing the interest in the development of probiotic treatments. In this context, the aim of this study is to investigate the anti-obesity effects of potential probiotic Lactobacillus acidophilus CICC 6075.
Methods
C57BL/6J mice on normal chow diet or high-fat feed were treated Lactobacillus acidophilus CICC 6075 by daily oral gavage for 12 weeks. Body weight, adipose tissue weight and HE sections of liver tissue, adipose tissue, and intestine were examined for each group, along with fecal 16S rRNA gene sequences were analyzed.
Results
Overall, L. acidophilus reduced body weight and fat accumulation in obese mice fed with a high-fat diet (HFD). Besides, Sequencing results showed that HFD diet reduced α-diversity and β-diversity, and the relative abundance of Lactobacillus, norank_f_Muribaculaceae was reduced, and significantly increased the relative abundance of ilebacterium. L. acidophilus reversed HFD-induced gut dysbiosis, and decreased Firmicutes-to-Bacteroidetes ratios. In addition, the results of bacterial functional potential prediction using PICRUSt showed that L. acidophilus treatment improved the gut microbiota functions involving metabolism, immune response, and pathopoiesia.
Conclusions
Lactobacillus acidophilus CICC 6075 ameliorated obesity through its alleviation of lipid metabolism dysbiosis and gut dysbiosis. It could be a good candidate for probiotic of ameliorating obesity and associated diseases such as hyperlipidemia, nonalcoholic fatty liver diseases, and insulin resistance.
Optimization of bioethanol production from sugarcane molasses by the response surface methodology using Meyerozyma caribbica isolate MJTm3
Authors: Hawaz Estifanos , Tafesse Mesfin , Tesfaye Anteneh , Kiros Solomon , Beyene Dereje , Kebede Gessese , Boekhout Teun , Groenewald Marizeth , Theelen Bart , Degefe Ayantu , Degu Sisay , Admasu Alene , Hunde Biru , Muleta Diriba 
Published: October 2022

Abstract
Purpose
Yeast strains tolerant to a wide range of stress conditions are needed for the production of bioethanol from substrates rich in sugar. In our earlier research findings, Meyerozyma caribbica isolate MJTm3 (OM329077) demonstrated remarkable stress tolerance and fermentative activity. The present study aimed to optimize six fermentation parameters to generate conducive fermentation conditions for ethanol production by M. caribbica isolate MJTm3.
Method
The response surface method (RSM) based on central composite design (CCD) was employed to optimize process conditions for higher bioethanol yield. The optimization process was carried out based on six independent parameters, namely temperature (25-30oC), pH (5.5–6.5), inoculum size (10–20% (v/v)), molasses concentration (25–35 (w/v)), mixing rate (110–150 rpm), and incubation period (48–72 h). Analysis of ethanol concentration was done by HPLC equipped with a UV detector.
Result
The optimal conditions of the parameters resulting in a maximum predicted ethanol yield were as follows: pH 5.5, an inoculum size of 20%, a molasses concentration of 25 oBrix, a temperature of 30oC, an incubation period of 72 h, and a mixing rate of 160 revolutions per minute (rpm). Using the above optimum conditions, the model predicted a bioethanol yield of 79%, 92% of the theoretical yield, a bioethanol concentration of 49 g L− 1, and a productivity of 0.68 g L− 1h− 1. A batch fermentation experiment was carried out to validate the predicted values and resulted in a bioethanol yield of 86%, 95% of theoretical yield, a bioethanol concentration of 56 g L− 1, and productivity of 0.78 g L− 1h− 1. On the other hand, the surface plot analysis revealed that the synergistic effect of the molasses concentration and the mixing rate were vital to achieving the highest bioethanol yield. In conclusion, these values suggested that the RSM with CCD was an effective method in producing the highest possible output of bioethanol from molasses in actual operation.
Conclusion
The study confirmed the potential of using M. caribbica isolate MJTm3 for bioethanol production from sugarcane molasses under the above-mentioned optimal conditions.
Integration of epigenomic and transcriptome analyses of neural tube defects reveals methylation driver lncRNAs and mRNAs
Authors: Xu Jing , Li Yingting , Zhang Luting , Liu Qiyun , Hu Shunqin , Hu Yanxin , Li Jia , Chen Min , Ma Runmei 
Published: October 2022

Abstract
Background
Abnormal genome-wide methylation during embryogenesis is associated with neural tube defects (NTDs) at birth. Long noncoding RNAs (lncRNAs) may be promising biomarkers for nervous system-related diseases. Therefore, we aimed to investigate the role of lncRNAs with aberrant methylation in the pathogenesis of NTDs.
Methods
Pregnant mice were given retinoic acid (dissolved in corn oil, 50 mg/kg) to build the NTDs model by gavage. After collecting brain tissues, reduced representation bisulfite sequencing (RRBS) and lncRNAs sequencing were conducted. Differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEGs) between NTDs and control group were screened, and then integrated with RRBS data to obtain genes with aberrant methylation, followed by functional enrichment analysis. Subsequently, protein-protein interaction (PPI) network and lncRNA-miRNA-mRNA network were constructed. Finally, qRT-PCR was applied to determine the expression levels of identified hub lncRNAs.
Results
A total of 8 DElncRNAs as well as 213 DEGs with aberrant methylation between NTD group and normal group were screened. By bioinformatics analysis, several hub lncRNAs including Gm15521, Gm4681, Gm13974 and Gm40638, were identified. Function analysis showed these genes were mainly enriched in axon guidance pathway. The qRT-PCR assay revealed that the expression level of Gm15521, Gm4681 and Gm13974 in the NTDs group was significantly lower than those in the control group.
Conclusion
The study screened DElncRNAs with aberrant methylation in the NTDs and the identified genes could be potential biomarkers for prenatal diagnosis of NTDs. These findings will provide a reference for further study on the regulatory mechanism of non-coding RNAs in the NTDs.