bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of an endoplasmic reticulum-targeting fluorescent probe for the imaging of superoxide anion in living cells
Authors: Wei Hua , Wang Yan , Chen Qingxian , Sun Yaru , Dong Baoli 
Published: May 2022

Abstract
Superoxide anion (O2•−) is an important reactive oxygen species (ROS), and plays critical roles in biological systems. ER stress has close relation with many metabolic diseases, and could lead to the abnormal production of ROS including O2•−. Herein, we present an ER-targeting probe (ER-Tf) for the detection of O2•− in living cells. The probe ER-Tf used triflate as the response site for O2•−, and employed p-methylbenzenesulfonamide as ER-targeting moiety. In response to O2•−, the triflate of the probe ER-Tf converted to hydroxyl group, providing strong blue emission under the excitation of ultraviolet light. The probe ER-Tf exhibited high sensitivity and selectivity to O2•−. Bioimaging experiments showed that the probe ER-Tf can be applied to detect O2•− at ER, and also demonstrated that rotenone could increase the generation of O2•− in living cells, while the O2•− level at ER showed no remarkable change during ferroptosis.
Electrochemical behavior of 2205 duplex stainless steel in simulated solution containing high concentration Cl- and saturated CO2 at different temperatures
Authors: Li Yanpeng , Zhu Shidong , Xian Jun , Li Xuanpeng , Wang Shushen 
Published: May 2022

Abstract
2205 stainless steel has good corrosion resistance due to its typical duplex organization, but the increasingly harsh CO2-containing oil and gas environment leads to different degrees of corrosion, especially pitting corrosion, which seriously threatens the safety and reliability of oil and gas development. In this paper, the effect of temperature on the corrosion behavior of 2205 duplex stainless steel (DSS) in simulated solution containing 100 g/L Cl- and saturated CO2 was investigated immersion test and electrochemical test, and combined with characterization techniques such as laser confocal microscopy and X-ray photoelectron spectroscopy etc. The results showed that the average critical pitting temperature of 2205 DSS was 66.9 °C. When the temperature was higher than 66.9 °C, the pitting breakdown potential, the passivation interval, and the self-corrosion potential, while the dimensional passivation current density increased, and the pitting sensitivity was enhanced. With the further increase of temperature, capacitive arc radius of 2205 DSS became smaller, film resistance and charge transfer resistance gradually decreased, the carrier density of donor and acceptor the product film layer with n+p type bipolar characteristics also increased, the inner layer of the film of Cr oxide content decreased, while the outer layer of Fe oxide content increased, the dissolution of the film layer sped up, the stability reduced, and the number and pore size of pits increased.
Neural similarity across task load relates to cognitive reserve and brain maintenance measures on the Letter Sternberg task: A longitudinal study.
Authors: Argiris Georgette , Stern Yaakov , Habeck Christian 
Published: May 2022

Abstract
The aging process is characterized by change across several measures that index cognitive status and brain integrity. In the present study, 54 cognitively-healthy younger and older adults, were analyzed, longitudinally, on a verbal working memory task to investigate the effect of brain maintenance (i.e., cortical thickness) and cognitive reserve (i.e., NART IQ as proxy) factors on a derived measure of neural efficiency. Participants were scanned using fMRI while presented with the Letter Sternberg task at different levels of cognitive load. Via correlation analysis, we looked at region-level and whole-brain relationships between load levels within each phase and then computed a global task measure, what we term phase specificity, to analyze how similar neural responses were across load levels within each phase compared to between each phase. We found that longitudinal change in phase specificity was positively related to longitudinal change in cortical thickness, at both the whole-brain and regional level, with baseline NART IQ being positively related to change in phase specificity over time. Furthermore, we found a longitudinal effect of sex on change in phase specificity, such that females displayed higher phase specificity over time. Cross-sectional findings aligned with longitudinal findings, with the notable addition of behavioral performance being positively linked to phase specificity cross-sectionally at baseline. Taken together, our findings suggest that phase specificity positively relates to maintenance and reserve factors and should be better investigated as a measure of neural efficiency.
Conservation of orbital angular momentum and polarization through biological waveguides
Authors: Bezryadina Anna , Perez Nicolas , Wilson Robert , Preece Daryl 
Published: May 2022

Abstract
A major roadblock to the development of photonic sensors is the scattering associated with many biological systems. We show the conservation of photonic states through optically self-arranged biological waveguides, for the first time, which can be implemented to transmit light through scattering media. The conservation of optical properties of light through biological waveguides allows for the transmission of high bandwidth information with low loss through scattering media. Here, we experimentally demonstrate the conservation of polarization state and orbital angular momentum of light through a self-arranged biological waveguide, several centimeters long, in a sheep red blood cell suspension. We utilize nonlinear optical effects to self-trap cells, which form waveguides at 532 nm and 780 nm wavelengths. Moreover, we use the formed waveguide channels to couple and guide probe beams without altering the information. The formed biological waveguides are in a sub-diffusive scattering regime, so the photons’ information degrades insignificantly over several centimeters of propagation through the scattering media. Our results show the potential of biological waveguides as a methodology for the development of novel photonic biosensors, biomedical devices that require optical wireless communication, and the development of new approaches to noninvasive biomedical imaging.
Dexamethasone increases the anesthetic success in patients with symptomatic irreversible pulpitis: A meta- analysis
Authors: Isiordia-Espinoza Mario Alberto , Serafín-Higuera Nicolás Addiel , Alonso-Castro Álonso Josabad , López-Verdín Sandra , Molina-Frechero Nelly 
Published: May 2022

Abstract
Inferior dental nerve block (IANB) has a high failure index in subjects with symptomatic irreversible pulpitis (SIP). It has been suggested that drugs with anti-inflammatory activity could improve the efficacy of the anesthetic used for IANB. The aim of this study was to assess the effect of dexamethasone on the success of dental anesthesia in patients with SIP. An information search was performed using PubMed and Google Scholar. The risk of bias of the included studies was evaluated with the Cochrane Collaboration’s risk of bias tool. The anesthetic success rate, pain intensity (VAS) and adverse effects, were extracted. Data were analyzed using the Mantel-Haenszel test and odds ratio or the inverse variance and standardized mean difference. Dexamethasone increased the anesthetic success in comparison with placebo (n=502; P<0.001; OR=2.59; 95% IC: 1.46 to 4.59). Moreover, patients who were given dexamethasone had lower pain scores at 6 h (n=302; P<0.001; MD= -1.43; 95% IC: -2.28 to -0.58), 12 h (n=302; P<0.0001; MD=-1.65; 95% IC: -2.39 to -0.92), and 24 h (n=302; P<0.0008; MD=-1.27; 95% IC: -2.01 to -0.53) when compared to placebo. In conclusion, dexamethasone increases the anesthetic success index and improves pain management in patients with SIP.
Mood changes in bipolar disorder: An interpretive phenomenological analysis of the space-time experience
Authors: Khadem Hossein , Shahidi Shahriar , Zarani Fariba , Panaghi Leili 
Published: May 2022

Abstract
Background
Bipolar disorder is generally studied under the biological paradigm and hence the experiential structure in patients is less investigated. Currents study aims to explore mood changes in patients with bipolar disorder through the building blocks of their experiential structure: the lived space and the lived time.
Methods
This study was conducted using qualitative research methods. Data were collected and analyzed under the interpretive phenomenological analysis (IPA) framework. 13 Iranian individuals diagnosed with bipolar disorder I and II were selected in 2020 through purposive sampling. We conducted an online semi-structural interview via WhatsApp and Skype.
Results
Two superordinate themes were identified: (1) Dance of the light and changes in circumscription; and (2) Waves of eternity and lack of the time. Themes related to each of them were identified and reported in the phases of depression and mania. The first super-ordinate theme included these themes: Compactness and denseness: reduced perception of space and freedom, deliberate reduction of light and space, effect of lived space on perceived mental safety and coping strategies against the lived space in depression (in depression) and Increased space and a desire for more, unity with space: pleasure and appreciation and increased and finer perception of light in space (in mania). Slowness of time, anxiety, reduced activity and freedom, dissociation of time and becoming unreal and discontinuity of time: focus on the past (in depression) and time paradox and increased activity and pleasure and discontinuity of time: focus on present and future (in mania) were the themes identified in the second super-ordinate theme.
Conclusions
The lived space and time in patients change through different phases of the bipolar disorder. These changes which reflect shifts in their experiential structures can represent a different viewpoint on mood changes in bipolar disorder. Future studies can benefit from this phenomenological approach in developing novel psychological interventions.
HipoMap: Slide Representation Map for Whole Slide-based Histopathological Image Analysis
Authors: Kosaraju Sai , Park Jeongyeon , Lee Hyun , Yang Jung Wook , Kang Mingon 
Published: May 2022

Abstract
Digital pathology coupled with advanced machine learning (e.g., deep learning) has been changing the paradigm of whole-slide histopathological images (WSIs) analysis. Major applications in digital pathology using machine learning include automatic cancer classification, survival analysis, and subtyping from pathological images. While most pathological image analyses are based on patch-wise processing due to the extremely large size of histopathology images, there are several applications that predict a single clinical outcome or perform pathological diagnosis per slide (e.g., cancer classification, survival analysis). However, current slide-based analyses are task-dependent, and a general framework of slide-based analysis in WSI has been seldom investigated. We propose a novel slide-based histopathology analysis framework that creates a WSI representation map, called HipoMap, that can be applied to any slide-based problems, coupled with convolutional neural networks. HipoMap converts a WSI of various shapes and sizes to structured image-type representation. Our proposed HipoMap outperformed existing methods in intensive experiments with various settings and datasets. HipoMap showed the Area Under the Curve (AUC) of 0.96±0.026 (5% improved) in the experiments for lung cancer classification, and c-index of 0.787±0.013 (3.5% improved) and coefficient of determination (R2) of 0.978±0.032 (24% improved) in survival analysis and survival prediction with TCGA lung cancer data respectively, as a general framework of slide-based analysis with a flexible capability. The results showed significant improvement comparing to the current state-of-the-art methods on each task. We further discussed experimental results of HipoMap as pathological viewpoints and verified the performance using publicly available TCGA datasets. A Python package is available at https://pypi.org/project/hipomap, and the package can be easily installed using Python PIP. The open-source codes in Python are available at: https://github.com/datax-lab/HipoMap.
Recapping and mite removal behaviour in Cuba: home to the world’s largest population of Varroa-resistant European honeybees
Authors: Luis Anais Rodríguez , Grindrod Isobel , Webb Georgiana , Piñeiro Adolfo Pérez , Martin Stephen John 
Published: May 2022

Abstract
The Varroa destructor ectoparasitic mite spread globally and in conjunction with Deformed Wing Virus killed millions of honeybees (Apis mellifera) colonies. Forcing Northern hemisphere beekeepers into using miticides to avoid mass colony losses. However, in many Southern hemisphere countries widespread treatment did not occur since miticides where prohibitively expensive or a centralised choice was made not to treat, both allowing natural selection to act. This Varroa caused initial high losses before mite-resistant appeared in the honeybee populations. Initially, mite-resistance was only associated with African and Africanised honeybees. Although recently, several isolated mite-resistant European honeybee populations have appeared. Here we studied the mite-resistance in Cuba and found high rates (77%) of recapping of infested worker cells, high removal of mites (80%) and corresponding low mite fertility (r=.77). These are all traits found in all naturally evolved Varroa-resistant populations. We can confirm Cuba has the world’s largest European mite-resistant population with 220,000 colonies that have been treatment-free for over two decades. Cuban honeybees are also highly productive, 40-70 kg of honey produced annually, and are mild mannered. Cuba has many queen rearing stations and is excellently positioned to export Varroa resistant European queens throughout the region and beyond.
The Safety and Feasibility of Intra Surgical Cavity or intra Cerebrospinal Fluid (CSF) Injection of Haploidentical Activated NK Cells in Patients with Recurrent Glioblastoma Multiforme and Brain Tumors
Authors: Asl Niloufar Shayan , Behfar Maryam , Amiri Rouzbeh Shams , Mohseni Rashin , Azimi Masoumeh , Jafari Yalda , Faranoush Mohammad , Izadpanah Amirhossein , Mohammad Monireh , Hamidieh Amir Ali , Habibi Zohreh , Ebrahimi Marzieh 
Published: May 2022

Abstract
Despite multi-modal therapies for patients with malignant brain tumors, their median survival is < 2 year. Recently, NK cells provided to cancer immune surveillance through their direct natural cytotoxicity, by modulating dendritic cells to enhance the presentation of tumor antigens and regulating T-cell mediated antitumor responses. However, the success of this treatment modality in brain tumors is unclear. The main reasons are the brain tumor microenvironment, approach of NK cell preparation and administration and the donor selection. Our, previous study showed that intracranial injection of activated haploidentical NK cells resulted in the eradication of glioblastoma tumor masses in the animal model. The animals had no evidence of tumor recurrence after treatment, and all tumor-related complications resolved after treatment. Therefore, in the present study, we evaluated the safety of intra surgical cavity or intra cerebrospinal fluid (CSF) Injection of ex vivo activated haploidentical NK cells in six patients with recurrent glioblastoma multiform (GBM) and malignant brain tumors resistance to chemo/radio therapy. The results showed that local administration of the haploidentical NK cells in malignant brain tumors is safe, feasible, tolerated at higher dose and also is cost effective.
Effect of the addition ratio of rice flour and molasses on the biomass of Pacific white shrimp (Litopenaeus vannamei) stocked by biofloc technology
Authors: Phuong Ta Van , Hoa Nguyen Van , Vo Van-Thanh , Diep Doan Xuan 
Published: May 2022

Abstract
The 63-days experiment was conducted to investigate the effect of different rice flour and molasses ratio on Pacific white shrimp, which were reared by the biofloc technology. The six treatments (control, R10-M90, R30-M70, R50-M50, R30-M70, and R10-M90) were randomly arranged with three repetitions in 18 plastic tanks. The content of adding two carbohydrate sources was calculated and added to water to gain the C:N ratio of 15:1. The experimental shrimps (mean initial weight of 0.095 g) were stocked at a density of 150 m− 3 and fed Lotus pellets (40% protein) for 63 days. The results showed that the temperature, pH, alkalinity and dissolved oxygen (DO) are suitable for shrimp and slightly fluctuate. The carbohydrate-supplemented treatments increased chemical oxygen demand (COD), biofloc volume (BFV), biofloc size, total suspended solids (TSS), volatile suspended solids (VSS), reduced total ammonia nitrogen (TAN), nitrite, P-PO4 as compared to control, in which R70-M30 treatment exhibited the most pronounced effects. Shrimp culture applying biofloc process stimulated the density of total bacteria and zooplankton to thrive and limited phytoplankton. Maintaining the C:N as 15 by adding carbohydrates showed a more effective impact. There was no significant difference in the mean weight of shrimp growth parameters, but biomass and yield tended to be highest in treatment R70-M30 (results were only significantly different from R90-M10). In conclusion, combining two carbohydrate sources positively improved water quality and provided shrimp feed. The ratio of 70% rice flour and 30% molasses was suggested following the conditions of this study.
Improved Imperialist Competitive Algorithm with Binary-encoding for selection problems in Combinatorial optimization
Authors: Sharma Laxmikant , Chellapilla Vasantha Lakshmi , Chellapilla Patvardhan 
Published: May 2022

Abstract
The utilization of metaheuristics for solving combinatorial optimization problems has increased considerably in the last few decades. Metaheuristics inspired by various natural phenomena have been proposed due to their optimization characteristics. Imperialist Competitive Algorithm (ICA) is one such metaheuristic inspired by the socio-political process of imperialism. ICA has become popular due to its extensive applications in various engineering domains. Originally, ICA was designed to solve continuous optimization problems. This paper presents a binary version of ICA, dubbed ICA with Binary-encoding (ICAwB), to solve selection problems. ICAwB works with binary encoding and utilizes new socio-politically inspired operators. Additional features are incorporated within ICAwB to develop an improved version of it dubbed IICAwB. ICAwB and IICAwB with other binary versions of ICA are compared. IICAwB shows much better performance than existing binary ICAs and ICAwB. The proposed IICAwB is quite generic, and its applicability to other combinatorial optimization problems can be attempted with advantage.
Evaluation on production trend, compositions, and impact of plastic waste in Chengdu, southwestern China
Authors: ZHAO Xue , YONG Yi , DU Cheng-song , GUO Wei-guang , LUO Da-peng 
Published: May 2022

Abstract
In order to get well understanding of the production trend of plastic waste in Chengdu, as well as its compositions and environmental impacts, based on the statistical data from 2005 to 2019, the back propagation (BP) neural network model was used to predict the production amount of plastic waste in Chengdu. Compositions of plastic waste were analyzed by sampling. In addition, inhale particles and greenhouse gas emissions (GHGs) from plastic waste incineration, bisphenol A (BPA) from plastic waste landfill were evaluated. Results indicated that, (1) economic development, urban construction level, residents' consumption ability and plastic waste production were positively correlated to different degrees. (2) The production of plastic waste in Chengdu in 2025 and 2030 will reach 865.3 and 931Kilo-tons (Kt) respectively. (3) High density polyethylene (HDPE) and polypropylene (PP) are the two main components of plastic waste in Chengdu, accounted for 40.17% and 24.96%, respectively. (4) Different degrees of environmental impacts occurred during plastic waste incineration and landfill, taking the year of 2019 as an example, the incineration of plastic waste in Chengdu produced 2874.82-4711.73 tons of inhalable particulate matter (PM) and emitted 725.4-867.4 Kt of CO2, about 65.02-910.27 kg of bisphenol A (BPA) leached from sanitary landfill.
Efficacy and impact of SARS-CoV-2 vaccination on cancer treatment for breast cancer patients: A multi-center prospective observational study
Authors: Terada Mitsuo , Kondo Naoto , Wanifuchi-Endo Yumi , Fujita Takashi , Asano Tomoko , Hisada Tomoka , Uemoto Yasuaki , Kato Akiko , Yamanaka Natsumi , Sugiura Hiroshi , Mita Keiko , Wada Asaka , Takahashi Eriko , Saito Kanako , Yoshioka Ryo , Toyama Tatsuya 
Published: May 2022

Abstract
PurposeVaccination is an essential strategy to prevent infection in the SARS-CoV-2 pandemic. However, there are concerns about vaccine efficacy and the impact of vaccination on cancer treatment. Additionally, the emergence of novel variants may affect vaccination efficacy. This multi-center, prospective, observational study investigated the efficacy and impact of vaccination against SARS-CoV-2 variants on treatment among breast cancer patients in Japan. MethodsPatients with breast cancer scheduled to be vaccinated with the SARS-CoV-2 vaccine from May to November 2021 were prospectively enrolled (UMIN000045527). They were stratified into five groups according to their cancer treatment: no treatment, hormone therapy, anti-human epidermal growth factor receptor (HER)2 therapy, chemotherapy, and cyclin dependent kinase 4/6 (CDK4/6) inhibitor. Serum samples for assessing serological responses were collected before the first vaccination and after the second vaccination. ResultsEighty-five breast cancer patients were included. The overall seroconversion rate after second vaccination was 95.3% and the lowest seroconversion rate was 81.8% in the patients under chemotherapy. The overall positivity rate of neutralizing antibodies against the wild-type, alpha, delta, kappa, and omicron variants were 90.2%, 81.7%, 96.3%, 84.1%, and 8.5%, respectively. Among the patients under chemotherapy or CDK4/6 inhibitors, various degrees of decreased neutralizing antibody titers against SARS-CoV-2 variants were observed. Withdrawal or reduction of systemic therapy because of vaccination was observed in only one patient. ConclusionOur data support SARS-CoV-2 vaccination for breast cancer patients. However, a reduction in neutralizing antibody titers was suggested during chemotherapy and CDK4/6 inhibitors, raising concerns about the impact on long-term infection prevention.