bluuebunny/crossref_metadata_2025_split huggingface dataset:
Model-driven understanding of CLIMP-63 structure and S-acylation
reveals fine tuning of ER morphology
Authors: Sandoz Patrick , Denhardt-Eriksson Robin , Abrami Laurence , Abriata Luciano , Spreemann Gard , Maclachlan Catherine , Ho Sylvia , Kunz Béatrice , Hess Kathryn , Knott Graham , Mesquita Francisco , Hatzimanikatis Vassily , Goot F. van der 
Published: March 2022

Abstract
The complex architecture of the endoplasmic reticulum (ER) comprises distinct dynamic features, many at the nanoscale, that enable the coexistence of the nuclear envelope, regions of dense sheets and a branched tubular network that spans the cytoplasm. A key player in the formation of ER sheets is cytoskeleton-linking membrane protein 63 (CLIMP-63). The mechanisms by which CLIMP-63 coordinates ER structure remain elusive. Here, we addressed the impact of S-acylation, a reversible post-translational lipid modification, on CLIMP-63 cellular distribution and function. Combining native mass-spectrometry, with kinetic analysis of acylation and deacylation, and data-driven mathematical modelling, we obtained in depth understanding of the CLIMP-63 life-cycle. In the ER, it assembles into trimeric units. These occasionally exit the ER to reach the plasma membrane. However, the majority undergoes S-acylation by ZDHHC6 in the ER where they further assemble into highly stable super-complexes. Using super resolution microscopy and focused ion beam electron microscopy, we show that CLIMP-63 acylation-deacylation controls the abundance and fenestration of ER sheets. Overall, this study led to the discovery that dynamic lipid post-translational modifications can regulate ER architecture.
Acid-Base Buffering Feature of Camel Versus Cow’s Milk
Authors: Nozari Ali , Asadi Meisam , Farahmand Farzane , Mirsoleimani Seyed Hossein , Koraei Paria 
Published: March 2022

Abstract
Background: Dental caries is one of the most common chronic infectious diseases in the world. Buffering feature of saliva plays a significant role in preventing tooth decay. One of the most remarkable physicochemical features of milk is its buffering capacity. Due to the high incidence of cow’s milk allergy in infants and young children, camel milk can safely be used as an alternative; however, data about camel milk’s cariogenicity in children is lacking. This study aimed to investigate and compare the laboratory fermentation (pH reduction) of camel milk in contact with microbial plaque and saliva.Methods: Microbial plaque and saliva sampled from twenty-five 3-5 years old children were collected. Laboratory fermentation (PH reduction) of camel milk in contact with microbial plaque and saliva compared with cow’s milk after 4, 20, 30, and 60 minutes of incubation was investigated. Results: The present study showed that after incubation of both types of milk with sampled saliva and plaques, the pH started to gradually reduce with a linear incline pattern in camel milk but a faster cycloid-shaped reduction pattern in cow’s milk.Conclusion: The present study results showed that camel milk provides better oral health conditions than cow’s milk for children based on its resistance to the increase of acidity.
Risk Factors for Campylobacteriosis in Australia: Outcomes of a 2018–2019 Case-Control Study
Authors: Cribb D. M. , Varrone L. , Wallace R. L. , McLure A. T. , Smith J. J. , Stafford R. J. , Bulach D. M. , Selvey L. A. , Firestone S. M. , French N. P. , Valcanis M. , Fearnley E. J. , Sloan-Gardner T. , Graham T. , Glass K. , Kirk Martyn D. 
Published: March 2022

Abstract
Background
We aimed to identify risk factors for sporadic campylobacteriosis in Australia, and to compare these for Campylobacter jejuni and Campylobacter coli infections.
Methods
In a multi-jurisdictional case-control study, we recruited culture-confirmed cases of campylobacteriosis reported to state and territory health departments from February 2018 through October 2019. We recruited controls from notified influenza cases in the previous 12 months that were frequency matched to cases by age group, sex, and location. Campylobacter isolates were confirmed to species level by public health laboratories using molecular methods. We conducted backward stepwise multivariable logistic regression to identify significant risk factors.
Results
We recruited 571 cases of campylobacteriosis (422 C. jejuni and 84 C. coli) and 586 controls. Important risk factors for campylobacteriosis included eating undercooked chicken (adjusted odds ratio [aOR] 70, 95% CI 13–1296) or cooked chicken (aOR 1.7, 95% CI 1.1–2.8), owning a pet dog aged < 6 months (aOR 6.4, 95% CI 3.4–12), and the regular use of proton-pump inhibitors in the four weeks prior to illness (aOR 2.8, 95% CI 1.9–4.3). Risk factors remained similar when analysed specifically for C. jejuni infection. Unique risks for C. coli infection included eating chicken pâté (aOR 6.1, 95% CI 1.5–25) and delicatessen meats (aOR 1.8, 95% CI 1.0–3.3). Eating any chicken carried a high population attributable fraction for campylobacteriosis of 42% (95% CI 13–68), while the attributable fraction for proton-pump inhibitors was 13% (95% CI 8.3–18) and owning a pet dog aged < 6 months was 9.6% (95% CI 6.5–13). The population attributable fractions for these variables were similar when analysed by campylobacter species. Eating delicatessen meats was attributed to 31% (95% CI 0.0–54) of cases for C. coli and eating chicken pâté was attributed to 6.0% (95% CI 0.0–11).
Conclusions
The main risk factor for campylobacteriosis in Australia is consumption of chicken meat. However, contact with young pet dogs may also be an important source of infection. Proton-pump inhibitors are likely to increase vulnerability to infection.
Surface sulfation of crab chitin for anisotropic swelling and nanodispersion No. (will be inserted by the editor)
Authors: Nishiyama Yoshiharu , Wang Xijun , Chen Pan , Feng Xiao , Dang Chao , Lin Baofeng , Qi Haisong 
Published: March 2022

Abstract
Crab chitin was sulfated under heterogeneous conditions using sulfamic acid in N'N-dimethylformamide to selectively sulfate the microfibril surface. The degree of sulfation followed a first order kinetics assuming a limited available reaction sites on the surface, and leveled off at a bulk degree-of-substitution of 0.4, corresponding to 2 mol/kg of sulfate groups. The reaction rate was proportional to the square of sulfamic acid concentration, suggesting involvement of two sulfamic acid molecules in a reaction. When washed with water after sulfation, the crab shell chitin fragments swelled anisotropically in the helicoidal axis direction, revealing regular alternating birefringence under optical microscope. Further mechanical treatment with high-pressure homogenizer lead to slender nanofibrils, whose diameters were of the order of 6 nm according to turbidimetric analysis, in agreement with the Scherrer size estimated from X-ray diffraction line broadening. Both AFM and TEM measurement showed presence of further smaller fragments with diameter of 3-4 nm and length of ~300 nm. The current approach presents a rapid and efficient modification to chitin, and a strategy for the preparation of stable nanochitins suspension.
Integration Stability Analysis Of Nonlinear Model Predictive Motion Control For Autonomous Vehicles
Authors: Ge Linhe , Zhao Yang , Zhong Shouren , Shan Zitong , Ma Fangwu , Han Zhiwu , Guo Konghui 
Published: March 2022

Abstract
There has been a growing interest in nonlinear model predictive control (NMPC) for the motion control of autonomous driving. However, it is odd that integration stability has not been considered enough when developing these applications for autonomous driving. The stabilized explicit RungeKutta (RK) integration method is proposed in this paper to solve the integration stability problem in motion control of autonomous vehicles (AVs). In comparison with other explicit integration methods, this method provides a wider stable region and is more efficient than implicit integration methods. This integration method is integrated into the framework of offset free nonlinear MPC solver based on GRAMPC by us. As a result, the problem of computational stability at low speeds of motion control can be resolved. At the same time, a larger integration step size can be adopted, and nonlinear MPC becomes more computationally efficient. The results of simulation and real vehicle experiment results show that the problem of low-speed integration stability when using non-linear dynamic model as a prediction model is successfully solved, which has been ignored in many previous studies.
Does Environmental Information Disclosure Affect the Financial Performance of Commercial Banks? Evidence from China
Authors: Xi Bin , Dai Jiali , Liu Yun 
Published: March 2022

Abstract
The article uses hand-collected data regarding environmental information disclosure for Chinese 30 listed banks to investigate whether and how environmental information disclosure of banks affects the financial performance. We find that a more high-quality environmental information results in high financial performance and this effect is intertemporal, which means that the effect is more significant in the current period and one lagged period, while the effect is not significant in two lagged periods. The second major finding is that national banks have a more significant effect of environmental information disclosure on their financial performance compared to regional banks. Furthermore, we provide evidence that the regional green development environment moderates the relationship between environmental information disclosure and banks' financial performance.
DisiMiR: Predicting Pathogenic miRNAs Using Network Influence and miRNA Conservation
Authors: Wang Kevin , McGeachie Michael 
Published: March 2022

Abstract
Deadly diseases, like cancer and Alzheimer’s, are complex conditions with elusive cures that consistently form the leading causes of death globally every year. MiRNAs have been shown to play a powerful regulatory role in the progression of these diseases, forming promising novel drug targets. Current experimental methods, like differential expression analysis, can discover disease-associated miRNAs, yet many of these miRNAs play no functional role in disease progression. Interventional experiments used to discover disease-causing miRNAs can be time consuming and costly. We present DisiMiR: a novel computational method that predicts pathogenic miRNAs by inferring biological characteristics of pathogenicity including network influence and gene conservation. DisiMiR separates disease-causal miRNAs from merely disease-associated miRNAs and was accurate in four diseases: breast cancer (0.817 AUC), Alzheimer's (0.727 AUC), gastric cancer (0.843 AUC) and hepatocellular cancer (0.949 AUC). Additionally, DisiMiR can generate hypotheses effectively: 41.2% of its false positives that are mentioned in the literature have been confirmed to be causal. In this work, we show that DisiMiR is a powerful tool that can be used to efficiently and flexibly predict pathogenic miRNAs in an expression dataset, for the further elucidation of disease mechanisms and the potential identification of novel drug targets.
Evaluation of Sinapic acid to ameliorate ionizing radiation induced peripheral blood mononuclear cell death.
Authors: Mondol Prasenjit , Bose Adity , Chanda Sarmishtha 
Published: March 2022

Abstract
Abstract

The UV radiation is known as a potential environmental carcinogen which causes damages of macromolecules like DNA, RNA, lipid, and protein inside the cell and eventually causes cell death. Persons who chronically exposed to UV radiation due to occupational or environmental exposure have a potential risk to develop cancer of the skin and internal organs. Polyphenols have a promising role in scavenging reactive oxygen species developed in our body due to a variety of exposure including radiation. In the present study, we are therefore evaluating the role of sinapic acid (SA), a polyphenol, in scavenging UV radiation-induced generation of reactive oxygen species and eventual cell death. We have studied the biological activity of SA as a potential antioxidant on human peripheral blood mononuclear cells taken from human volunteers.

Methods

Graded concentration of SA in different solvent mediums was applied to UV exposed peripheral blood mononuclear cells for evaluating the best effective delivery system and concentration against UV radiation.

Result

After series of experiments, we have observed that even at 10 µM concentration, SA is effective against UV induced cellular death.

Conclusion

Finally, from this work we are inviting lots of works in this field to establish this molecule as a medicine to reduce radiation-induced cellular death.
Classification of Multi-Differentiated Liver Cancer Pathological Images Based on Deep Learning Attention Mechanism
Authors: Chen Chen , Chen Cheng , Ma Mingrui , Ma Xiaojian , Lv Xiaoyi , Dong Xiaogang , Yan Ziwei , Zhu Min , Chen Jiajia 
Published: March 2022

Abstract
Purpose
Liver cancer is one of the most common malignant tumors in the world, ranking fifth in malignant tumors. The degree of differentiation can reflect the degree of malignancy. The degree of malignancy of liver cancer can be divided into three types: poorly differentiated, moderately differentiated, and well differentiated. Diagnosis and treatment of different levels of differentiation are crucial to the survival rate and survival time of patients. As the gold standard for liver cancer diagnosis, histopathological images can accurately distinguish liver cancers of different levels of differentiation. Therefore, the study of intelligent classification of histopathological images is of great significance to patients with liver cancer. At present, the classification of histopathological images of liver cancer with different degrees of differentiation has disadvantages such as time-consuming, labor-intensive, and large manual investment. In this context, the importance of intelligent classification of histopathological images is obvious.
Methods
Based on the development of a complete data acquisition scheme, this paper applies the SENet deep learning model to the intelligent classification of all types of differentiated liver cancer histopathological images for the first time, and compares it with the four deep learning models of VGG16, ResNet50, ResNet_CBAM, and SKNet. The evaluation indexes adopted in this paper include confusion matrix, Precision, recall, F1 Score, etc. These evaluation indexes can be used to evaluate the model in a very comprehensive and accurate way.
Results
Five different deep learning classification models are applied to collect the data set and evaluate model. The experimental results show that the SENet model has achieved the best classification effect with an accuracy of 95.27%. The model also has good reliability and generalization ability. The experiment proves that the SENet deep learning model has a good application prospect in the intelligent classification of histopathological images,
Conclusions
This study also proves that deep learning has great application value in solving the time-consuming and laborious problems existing in traditional manual film reading, and it has certain practical significance for the intelligent classification research of other cancer histopathological images.
Reducing food’s resource and climate footprints via food waste upcycling
Authors: Dou Zhengxia , Wang Yingcheng , Ying Hao , Darko Stefanovski , Chen Ting , Tian Xingshuai , Zheng Huifang , Li Yuhao , Fan Siyu , Cui Zhenling 
Published: March 2022

Abstract
The global food system is a major driver of most-pressing sustainability challenges such as climate change, unsustainable resource extraction, and altered biogeochemical cycles of N and P1-5. Food loss and waste is at the heart of the problem6,7. With 1/3 of food uneaten but lost/wasted, not only do resources consumed in producing the food ‘go down the drain’ but also the wasted food continues to brew health and pollution problems8,9. Here we show that food waste recovery and upcycling can effectively mitigate food’s unintended consequences. Using global primary data, we estimated that recovering and treating food waste via composting, anaerobic digestion, or feed-making technologies could reduce carbon footprints by 614–1041 Mt CO2-eq, compared to landfill baseline, potentially offsetting global food system’s climate burden by 4.5–7.6%. Up to 6.6 Mt nutrients could be re-captured for soil-crop-based upcycling. The feed-making option could generate up to 155.6 Mt novel feeds for animal-based upcycling, potentially replacing 41% and 9% of maize and soy in global livestock feeding. Feed grain replacement can bring an array of cascading benefits such as land and fertilizer spared and pollutions avoided, which are evaluated for the U.S. and China as case-study countries.
Critical brain wave physics of neuronal avalanches without sandpiles of self organized criticality
Authors: Galinsky Vitaly , Frank Lawrence 
Published: March 2022

Abstract
Analytical expressions for scaling of brain wave spectra derived from the general nonlinear wave Hamiltonian form show excellent agreement with experimental ''neuronal avalanche'' data. The theory of the weakly evanescent nonlinear brain wave dynamics reveals the underlying collective processes hidden behind the phenomenological statistical description of the neuronal avalanches and connects together the whole range of brain activity states, from oscillatory wave-like modes, to neuronal avalanches, to incoherent spiking, showing that the neuronal avalanches are just the manifestation of the different nonlinear side of wave processes abundant in cortical tissue. In a more broad way these results show that a system of wave modes interacting through all
possible combinations of the third order nonlinear terms described by a general wave Hamiltonian necessarily produces anharmonic wave modes with temporal and spatial scaling properties that follow scale free power laws. To the best of our knowledge this was never reported in the physical literature and may be applicable to many physical systems that involve wave processes and not just to neuronal avalanches.
Factors associated with poor social support among Persons Living with HIV/AIDS at the Infectious Disease Institute HIV/AIDS clinic in Uganda, 2019: A cross-sectional study
Authors: Kitibwakye Sharon Nakamanya , Kitutu Freddy Eric , Kigongo Angella Nabakooza , Olum Ronald , Katana Elizabeth , Laker Eva 
Published: March 2022

Abstract
BackgroundSocial support is known to influence desired health outcomes resulting in decrease in morbidity and mortality. HIV patients with poor social support are at risk of worse health outcomes. Little is known about the determinants of social support in the HIV population in Uganda. This study examined the determinants of social support among HIV patients on Atazanavir-based regimen at the Infectious Disease Institute HIV/AIDS clinic in Uganda.MethodsWe carried out a secondary analysis of data nested in a cross-sectional study to determine the prevalence of clinical jaundice among patients on Atazanavir-based second-line therapy, which was conducted at a specialist HIV center, Infectious Disease Institute (IDI) in Kampala, Uganda from April to May 2019. IDI is a specialist HIV center in Kampala, Uganda with over 7000 patients in care. The primary study consecutively sampled patients on an Atazanavir- based regimen. Social support was assessed by using a 3-item Oslo social scale. Logistic regression was used to determine the association between social support and its correlates.Results Data from 236 participants with the mean age of 40 years ±11 was analyzed. The majority were females (66.5%) and 34% were married. Up to 16.5% (39/236) had other comorbidities and less than 1% (2/236) were depressed. There was a high level of disclosure of status to either a family member, friend, spouse, or children (94%; 221/236). The prevalence of internalized stigma (4%; 9/236) and depression (2/236; 1%) was low. Only disclosure of HIV status was associated with social support (OR= 4.9, 95% CI 1.1 – 21.3, p-value= 0.038). There was no significant association of age, sex, marital status, education status, religion, other chronic comorbidities, depression, drug fatigue, and stigma with social support. Conclusion We found that good/ moderate social support was associated with disclosure of HIV status. However, the relationship between social support and disclosure of HIV status warrants further exploration using qualitative research methods.
Comparison of Optical Coherence Tomography Angiography and Indocyanine Green Angiography in Uveitis
Authors: Kodati Shilpa , Kumar Aman , Kongwattananon Wijak , Vitale Susan , Sen Hatice Nida 
Published: March 2022

Abstract
Optical Coherence Tomography Angiography (OCTA) has emerged as a useful modality for the diagnosis and management of uveitic diseases, but comparisons with other imaging modalities in uveitis are limited. The purpose of this study is to compare hypocyanescent lesions on Indocyanine Green Angiography (ICGA) to choriocapillaris flow deficits on OCTA in eyes with posterior and panuveitis. En-face 6x6 OCTA images of the choriocapillaris and mid-phase ICGA images from patients with posterior and panuveitis were reviewed and images were quantitatively compared. Lesion(s) on ICGA and OCTA images were outlined, binarized and then overlapped to determine the Dice similarity coefficient (DSC). Measurements of lesion morphology were compared using Bland-Altman analysis contrasting four primary features: lesion number (LN), lesion density (LD%), lesion circularity (LCi) and mean lesion size (MLS). A total of 36 eyes from 26 patients were analyzed. The overall agreement in spatial overlap between lesions from ICG and OCTA was classified as “good” [DSC ≥ 0.7] (mean DSC = 0.744; 95% confidence interval [0.679, 0.809]). No significant differences were noted between the LN, LD%, LCi, and MLS. Overall, OCTA appears to be comparable measure of choriocapillaris flow deficits in patients with posterior and panuveitis compared with hypocyanescent lesions on ICGA.
Risk Factors of Postoperative Intra-Abdominal Infectious Complications After Robotic Gastrectomy for Gastric Cancer
Authors: Ojima Toshiyasu , Hayata Keiji , Kitadani Junya , Takeuchi Akihiro , Yamaue Hiroki 
Published: March 2022

Abstract
Background Robotic surgery is regarded as an evolved type of laparoscopic surgery. Few studies have undertaken detailed analysis of complications following robotic gastrectomy for gastric cancer.MethodsThis is a single-center retrospective study of 149 consecutive patients with gastric cancer who underwent robotic gastrectomy. It examines in detail the postoperative complications in robotic gastrectomy for gastric cancer, focusing on intra-abdominal infectious complications including anastomotic leakage, pancreatic fistula and intra-abdominal abscess. We also aim to identify the related risk factors.ResultsThe median operation time was 299 min and median bleeding was 25 ml. The incidence of overall complications higher than grade II was 8.7%. Clinically serious complications higher than grade IIIa occurred in 6.7% of cases. The incidence of intra-abdominal infectious complications that were higher than grade II was 4.0%. Mortality in our consecutive series was zero. Multivariate logistic regression analysis indicated that postoperative intra-abdominal infectious complications were significantly associated with history of abdominal surgery (P = 0.043), with odds ratios of 17.890 (95 % confidence interval 1.092 – 293.150) and with non-curative resection (P = 0.025), with odds ratios of 58.629 (95 % confidence interval 1.687 – 2037.450).Conclusion Robotic gastrectomy was shown to be a safe and effective treatment for gastric cancer when performed by experienced surgeons. Attention should be paid to the risk of developing postoperative complications when performing robotic gastrectomy in gastric cancer patients with a history of abdominal surgery and in patients with advanced gastric cancer in whom there is expected to be difficulty in curative resection.