bluuebunny/crossref_metadata_2025_split huggingface dataset:
Climate Double Whammy: Assessing the Combined Climate Risks of
Overseas Power Projects
Authors: Li Xia , Gallagher Kevin , Chen Xu 
Published: July 2022

Abstract
This study deploys new data and examines the combined climate risks−i.e., the
combination of facilities’ climate change exposures and climate change impact−of
bilaterally-financed global power projects from the world’s three biggest economies:
the U.S., China, and Japan. We find a positive association between climate change
impacts and climate change exposures across these overseas power projects.
Specifically, coal power plants have significantly higher climate change impacts and
climate change exposures. Although hydropower projects can have low climate
change impacts, they have high climate change exposures compared to most other
fuel types. Projects financed by the U.S., China, and Japan have similar climate change
impacts and exposures. Greenfield foreign direct investment projects have lower
combined climate risks than projects financed by development finance institutions.
Association between Quality of Life with Depressive Symptoms, Anxiety, Stress, and Emotional Distress in Peruvian Cancer Patients: A Cross-sectional Study
Authors: Villarreal-Zegarra David , Malaquias-Obregon Sofía C. , García-Serna Jackeline , Vilela-Estrada Ana L. , Cabrera-Alva Milagros , Copez-Lonzoy Anthony 
Published: July 2022

Abstract
Background
Cancer is the second leading cause of death worldwide. In Peru, cancer represented 20% of deaths nationwide between 1986 and 2015, where the types of cancer with the highest incidence include prostate, breast, and stomach cancer. Cancer diagnosis is a complex communicative process that is associated with the idea of ​​death and suffering, especially those in advanced stages. Regarding the psychological factor, cancer is associated with an increase in depressive symptoms, anxiety, and stress. These represent an obstacle to recovery from the disease and can affect the quality of life of cancer patients. This study aims to determine the association between quality of life and depressive symptoms, anxiety, stress, and emotional distress in Peruvian cancer patients.
Method
A cross-sectional study was conducted on 500 literate National Institute of Neoplastic Diseases cancer patients over 18 years of age. Additionally, descriptive statistical analyses and Poisson association measures of mental health and quality of life factors were performed.
Results
A prevalence of anxious symptoms (27.5%), depressive symptoms (20.4%), symptoms of moderate-severe stress (83.2%), and emotional discomfort (57.4%) has been identified. Regarding the Poisson regression model, cancer patients with 12 or more years of education were less likely to have emotional distress symptoms. Cancer patients with a low or average mental quality of life are twice as likely to present signs of moderate or severe stress. Notably, neither the type of cancer or the clinical stage presented significant values ​​for any of the mental health problems, mental quality of life, and physical quality of life. The comorbidity sub-analysis has identified that as the number of comorbid mental health problems increases, the probability of having a low mental quality of life and physical quality of life increases.
Conclusions
Emotional distress and stress are factors associated with the quality of life of cancer patients. Other covariates such as high educational level are factors related to mental health problems. Likewise, the results directly affect the development of public policies and effective health strategies in this type of population.
EEG SignalsAnalysis and Modeling for Machine Learning Techniques in IoMT based Wearable in Healthcare
Authors: Kapoor Bhaskar 
Published: July 2022

Abstract
Electroencephalographic (EEG) data analysis frequently involves visual signal evaluation, feature extraction, and model development. Improved descriptive and prognostic models of brain states and illnesses have already been produced, in part thanks to computer-aided nonlinear feature extraction from EEG. However, in this discipline, there aren't many effective tools that are publicly available for scientific study of EEG and would enable researchers to compare the findings of their work with those of other researchers. There is a need for a shared framework for the analysis, extraction, and visualisation of EEG records, especially given the wide variety of EEG analysis methods that have been presented. This study aims to introduce such a framework, known as EEGFrame, and its Java implementation. The analysis is currently supported by the framework.
Fluorescent Probe combined with Novel Rapid Microbial Analyzer for Detection of Contaminated Pathogen in Coconut
Authors: Cui Qian , Zhong Yongjie , Deng Fuming , Wang Buhua , Zhang Ling , Wu Jiajia , Wang Peng , Wan Liudang , Wang Keling , Fang Lingchen , Dai Rui , Zhang Han , Huang Jiaomei , Wan Yi 
Published: July 2022

Abstract
Food safety is facing great challenges for preventing foodborne diseases caused by pathogenic pollution, especially in resource-limited area. The rapid detection technique of microorganisms, such as immunological method and molecular biological method, plays a crucial key in the timely bioanalysis and disease treatment strategies. However, it is difficult for these methods to simultaneously meet the criteria of simple operation, high specificity and sensitivity, as well as low cost. Herein, we introduced a Rapid Microbial Analyzer (RMA) that can provide a strong signal with high signal-to-noise ratio via embodying the metabolic features of microbial enzyme target and selective fluorescent substrate. The technique is confirmed high accuracy for the detection of E. coli in the coconut water with a limit of detection of 1 CFU/mL, and could severe as an acute pathogenic detection tool. This device provides a one-step strategy for bacterial detection and is a great leap in the development of easy to operate instrumentation, and could be a great aid for global pathogenic monitoring.
The G9a/CHCHD2/Sirt1 regulatory module acts on RNase H1 to control R-loop formation at rDNA sites
Authors: Li Le , Wu Yequn , Dai Kui , Wang Qing , Ye Shiqi , Shi Qipeng , Chen Zhenfei , Huang Yi-Chun , Zhao Weiwei , Li Lijia 
Published: July 2022

Abstract
R-loops are both regulators in many cellular processes and threats to genome integrity. Understanding the mechanism underlying regulation of R-loops is very important. Inspired by the findings of RNase H1-mediated R-loop formation, we focus our interest on the regulation of RNase H1 recruitment and expression. Here we report that G9a not only boosts the recruitment of RNase H1 to reduce R-loop accumulation at the rDNA site, but also positively regulates RNase H1 expression, whereas CHCHD2 prevents RNase H1 from being recruited to rDNA site and acts as a repressive transcription factor to inhibit the expression of RNase H1 to increase R-loop formation. We also found that G9a methylated the promoter of the RNase H1 gene, which inhibited the binding of CHCHD2. By contrast, when G9a was knocked down, the recruitment of CHCHD2 and Sirt1 to the RNase H1 promoter increased, which co-inhibited the RNase H1 transcription. Furthermore, G9a could directly bind CHCHD2, possibly decreasing free CHCHD2. Sirt1 could interact with CHCHD2 and functioned as a repressor suppressing transcription of the RNase H1 gene. Knockdown of Sirt1 led to binding of more G9a to the RNase H1 promoter. Taken together, we demonstrate that G9a regulates the expression of RNase H1 to maintain the steady-state balance of R-loops by suppressing CHCHD2 and Sirt1 corepressors being recruited to the target gene promoter.
An extremely enhanced ionization in the E region of Mars due to high energy electron impact: Comparison of E-peak density observed by MARSIS and ROSE observations
Authors: Haider Syed Aftab , Siddhi Y. S. 
Published: July 2022

Abstract
We report an unusual event on 2 June 2012 in the mini-magnetosphere of Mars from Mars Advanced Radar for Subsurface and Ionosphere Sounding (MARSIS) onboard Mars Express (MEX) during orbit # 10723 at Ls 119o, when the E-peak electron density ~ 1.7 x 105 cm− 3 enhanced significantly at altitude ~ 100 km. This peak density is higher by about an order of magnitude from the E peak density observed by Radio Occultation Science Experiment (ROSE) onboard Mars Atmospheric and Volatile Evolution (MAVEN). We have modeled observed electron density profiles using coupled continuity and Analytical Yield Spectrum (AYS) approach. In this calculation, we have used solar EUV, X-ray and high-energy electron flux of Electron Spectrometer (ELS)/Analyzer of Space Plasmas and Energetic Atoms (ASPERA-3). The estimated electron density due to solar EUV/X-ray is matching well with the ROSE observation. The enhanced E-peak in the MARSIS profile is produced due to high-energy electron impact.
Experimental Investigation On GraphiteReinforced Concrete Beam With Kenaf Fiber
Authors: Jeka j Jaculin , John J V Bency 
Published: July 2022

Abstract
This project explains how to determine the deflection, load carrying capacity, and stress in a graphite reinforcedbeam with kenaf fibre using an experimental method. Kenaf fibre is lightweight, which may make building constructioneasier. A graphite reinforced beam using kenaf fibre is used as an alternative technique. The reinforcement is protected fromcorrosion by the graphite covering. The service life of this coating is increased without altering the physical qualities. As anadmixture, kenaf fibre was added in percentages of 1.5 percent, 2.5 percent, 3.5 percent, 4.5 percent, and 5.5 percent. Toverify this approach and this experimental inquiry, compression and flexural strength tests are performed on the sample toassess the load carrying capacity, stresses, and deflection of the beams
Association of rare, recurrent nonsynonymous variants in the germline of prostate cancer patients of African ancestry
Authors: Xu Jianfeng , Wei Jun , Beebe-Dimmer Jennifer , Shi Zhuqing , Sample Christopher , Yan Guifang , Rifkin Andrew , Sadeghpour Azita , Gielzak Marta , Choi Sodam , Moon David , Zheng S. Lilly , Helfand Brian , Walsh Patrick , Cooney Kathleen , Isaacs William 
Published: July 2022

Abstract
Background
Although men of African ancestry (AA) have the highest mortality rate from prostate cancer (PCa), relatively little is known about the germline variants that are associated with PCa risk in AA men. The goal of this study is to systematically evaluate rare, recurrent nonsynonymous variants across the exome for their association with PCa in AA men.
Methods
Whole exome sequencing (WES) of germline DNA in two AA PCa patient cohorts of Johns Hopkins Hospital (N = 960) and Wayne State University (N = 747) was performed. All nonsynonymous variants presented in both case cohorts, with a carrier rate between 0.3% and 1%, were identified. Their carrier rates were compared with rates from 8,128 African/African American (AFR) control subjects from The Genome Aggregation Database (gnomAD) using Fisher’s exact test. Significant variants, defined as false discovery rate (FDR) adjusted p-value ≤0.05, were further evaluated in AA PCa cases (N = 132) and controls (N = 1,184) from the UK Biobank (UKB).
Results
Two variants reached a pre-specified statistical significance level. The first was p.R14Q in GPRC5C (found in 0.47% of PCa cases and 0.01% of population controls); odds ratio (OR) for PCa was 37.46 (95%CI 4.68-299.72), pexact=7.01E-06, FDR adjusted p-value = 0.05. The second was p.R511Q in IGF1R (found in 0.53% of PCa cases and 0.01% of population controls); OR for PCa was 21.54 (95%CI 4.65–99.76), pexact=5.51E-06, FDR adjusted p-value = 0.05. The mean percentage of African ancestry was similar between variant carriers and non-carriers of each variant, p > 0.05. In the UKB AA men, GPRC5C R14Q was 0.76% and 0.08% in cases and controls, respectively, OR for PCa was 9.00 (95%CI 0.56-145.23), pexact =0.19. However, IGF1R R511Q was not found in cases or controls.
Conclusions
This WES study identified two rare, recurrent nonsynonymous PCa risk-associated variants in AA. Confirmation in additional large populations of AA PCa cases and controls is required.
Material and Equipment (M&amp;E) productivity management in the Construction sector
Authors: Dara Sruthilaya 
Published: July 2022

Abstract
The construction sector is one of the country's fastest-growing industries, with a significant impact on the economy. The cost of materials makes up about 60% of most construction projects. Effective material management contributes to lower project costs and more sustainable use of available resources in the long run. Construction equipment is also one of the most important resources on today's construction sites. In the implementation of many construction projects, equipment selection is critical. Construction cost overruns are caused by improper equipment monitoring, which accounts for 30–40% of all cost overruns. The numerous factors that influence M&E productivity management are identified in this study. The primary goal of this research is to identify the factors that have a significant impact on M&E productivity in the construction sector. Various factors were identified from the literature research and compiled into a questionnaire to collect responses from various stakeholders like material managers, quantity surveyors, site engineers, project managers, and project engineers. The reliability and significance are determined using the ranked responses collected from the questionnaire survey. To prioritize factors that affect equipment production, the relative relevance index (RII) method was utilized. From the study the factors that are more significant and cause the challenges in M&E are inadequate measures for efficient usage and negotiation with conditions of equipment, Inadequate expertise for equipment selection, proper maintenance, and inspection, and a lack of consistency Inadequate routine checks. Strategies and managerial implications are provided in the study to reduce the significance of M&E productivity in the construction sector.
Shifts in ecosystem equilibria following trophic rewilding
Authors: Hoeks Selwyn , Huijbregts Mark , Boonman Coline , Faurby Søren , Svenning Jens-Christian , Harfoot Michael , Santini Luca 
Published: July 2022

Abstract
Trophic rewilding is proposed as an effective approach to tackle biodiversity loss by restoring ecosystem dynamics through the reintroduction of large-bodied animals. Currently, evidence on the effectiveness of reintroduction programs is sparse and difficult to generalize. To better understand the ecological consequences of trophic rewilding, we simulated the extinction and reintroduction of large-bodied mammals under four distinct environmental conditions. We found that the removal of large-bodied mammals leads to large cascading effects mainly expressed by increases in smaller-bodied herbivores and the release of mesopredators. Our results further suggest that reintroducing extinct large-bodied mammals can largely restore shifts in ecosystem structure, closely resembling the baseline ecosystem conditions. However, the extent to which the ecosystem’s state resembles the original ecosystem is heavily dependent on the reintroduction strategy (only herbivores and omnivores vs. all large-bodied mammals) and timing, as well as local environmental conditions.
Single-molecule localization microscopy reveals the ultrastructural root constitution of distal appendages in expanded mammalian centrioles
Authors: Chang Ting-Jui , Hsu Jimmy , Yang T. Tony 
Published: July 2022

Abstract
Distal appendages (DAPs) are vital in cilia formation, mediating vesicular and ciliary docking to the plasma membrane during early ciliogenesis. Although numerous DAP proteins arranging a nine-fold symmetry have been studied using superresolution microscopy analyses, the extensive ultrastructural understanding of the DAP root structure developing from the centriole wall remains elusive owing to insufficient resolution. Here, we proposed a pragmatic imaging strategy for two-color single-molecule localization microscopy of swellable mammalian DAP proteins. Importantly, our imaging workflow enables us to push the resolution limit of a light microscope well close to an electron microscopy level, thus achieving an unprecedented λ/200 mapping precision inside intact cells. Upon this workflow, we unravel the ultra-resolved higher-order protein complexes of the core DAP. Intriguingly, C2CD3, microtubule triplet, and ODF2 jointly constitute the spatial basis of DAP, suggesting a unique configuration of the DAP assembly. Moreover, our results show that the distal-layered ODF2 labeled at the N- and C-terminus construct a fastening unit encircling the microtubule triplets. Together, we develop an organelle-based drift correction protocol and a two-color imaging solution with minimum crosstalk, allowing a robust localization microscopy imaging of expanded cellular structures deep into the gel-specimen composites.
Association between ABO blood group/genotype and COVID-19 in a Japanese population
Authors: Kusumoto Tatsuya , Chubachi Shotaro , Namkoong Ho , Tanaka Hiromu , Lee Ho , Azekawa Shuhei , Otake Shiro , Nakagawara Kensuke , Fukushima Takahiro , Morita Atsuho , Watase Mayuko , Sakurai Kaori , Asakura Takanori , Masaki Katunori , Kamata Hirofumi , Ishii Makoto , Hasegawa Naoki , Harada Norihiro , Ueda Tetsuya , Ueda Soichiro , Ishiguro Takashi , Arimura Ken , Saito Fukuki , Yoshiyama Takashi , Nakano Yasushi , Mutoh Yoshikazu , Suzuki Yusuke , Edahiro Ryuya , Sano Hirohito , Sato Yasunori , Okada Yukinori , Koike Ryuji , Kitagawa Yuko , Tokunaga Katsushi , Kimura Akinori , Imoto Seiya , Miyano Satoru , Ogawa Seishi , Kanai Takanori , Fukunaga Koichi 
Published: July 2022

Abstract
Background: An association between coronavirus disease 2019 (COVID-19) and ABO blood group has been reported. However, such an association has not been studied in the Japanese population on a large scale. Additionally, little is known about the association between COVID-19 and ABO genotype. Therefore, the present study aimed to investigate the association between COVID-19 and ABO blood group/genotype in a large Japanese population. Methods: All Japanese patients diagnosed with COVID-19 were recruited through the Japan COVID-19 Task Force between February 2020 and October 2021. We conducted a retrospective cohort study involving 1,790 COVID-19 Japanese patients whose DNA was used for genome-wide association study. We compared the ABO blood group/genotype in healthy population (n = 611, control) and COVID-19 patients, and then analyzed the association between the ABO blood group/genotype and clinical outcomes. Results: Blood group A was significantly more prevalent (41.6% vs. 36.8%) and group O was significantly less prevalent (26.2% vs. 30.8%) in the COVID-19 group than in the control group. Moreover, genotype OO was significantly less common in the COVID-19 group. Further, blood group AB was identified as an independent risk factor for most severe diseases compared with blood group O [aOR (95% CI) = 1.84 (1.00–3.37)]. Similarly, in ABO genotype analysis, only genotype AB was an independent risk factor for most severe disease compared with genotype OO. Conclusions: Blood group O is protective, whereas blood group A is associated with the risk of infection. Moreover, blood group AB is associated with the risk of ‘most’ severe disease.
SARS-CoV-2 Spike and ACE2 Entanglement-Like Binding
Authors: Pregnolato Massimo , Zizzi Paola 
Published: July 2022

Abstract
We describe the binding between the glycoprotein Spike of SARS-CoV-2 and the human host cell receptor ACE2 as a quantum circuit, comprising the one-qubit Hadamard quantum logic gate performing the quantum superposition of the S1 subunit of the spike protein, and the two-qubit quantum logic gate CNOT, which performs maximum entanglement between the spike-qubit S1 and the ACE2 receptor protein. Also, we consider two strategies to prevent the binding process between the spike-qubit S1 and the ACE2 receptor. The first one is the use of competitive peptidomimetic inhibitors that can selectively bind to the receptor binding domain (RBD) of the Spike glycoprotein with much higher affinities than the cell surface receptor itself. These inhibitors are targeted to the CNOT quantum logic gate and will get maximally entangled with the S1 qubit in place of the natural ACE2 receptor. The second one is to use covalent inhibitors, which will destroy S1 by acting as a projective quantum measurement. Finally, the conjecture that S1 is a bio-quantum robot is formulated.
Quantifying Brownian Motion in the Presence of Simple Shear Flow with Particle Diffusometry
Authors: Lee Dong Hoon , Clayton Katherine N. , Kinzer-Ursem Tamara L. , Linnes Jacqueline C. , Wereley Steven T. 
Published: July 2022

Abstract
Particle Diffusometry, a technology derived from particle image velocimetry, quantifies the Brownian motion of particles suspended in a quiescent solution by computing the diffusion coefficient. Particle Diffusometry has been used for pathogen detection by measuring the change in solution viscosity due to the presence of amplified DNA from a specific gene target. However, Particle Diffusometry fails to calculate accurate measurements at elevated temperatures and in the presence of fluid flow. Therefore, these two current limitations hinder the potential application where Particle Diffusometry can further be used.In this work, we expanded the usability of Particle Diffusometry to be applied to fluid samples with the simple shear flow and at various temperatures. A range of diffusion coefficient videos is created to simulate the Brownian motion of particles under flow and temperature conditions. From our updated Particle Diffusometry analysis, a correction equation is formed under three different polynomial degrees of shear flow with varying flow rates and temperatures between 25 and 65 degrees. A model experiment involving the syringe pump and rectangular channel geometry provided a uniform flow for analyzing the modified algorithm. In simulation analysis, the modified algorithm successfully computes the diffusion coefficients with ± 10% error for shear rates as large as 8 pixel/Δt on all three flow types. Complementary experiments confirm the simulation results.
Tracheal injury from dog bite in a child
Authors: Miyawaki Michiyo , Ogawa Kazuya , Kamada Kosuke , Karashima Takashi , Abe Miyuki , Takumi Yohei , Hashimoto Takafumi , Osoegawa Atsushi , Sugio Kenji 
Published: July 2022

Abstract
BackgroundTracheal injury from dog bites in children is rare. Tracheal injury requires prompt and accurate diagnosis and treatment to rescue the patient. Especially in children, securing the airway is often more difficult than in adults because of their narrow trachea.Case presentationWe report the case of a 3-year-old girl who presented with multiple dog bites. There were multiple wounds on the head, face, neck, and anterior chest, and air leakage was observed from the cervical wound at the time of transfer. It was difficult to perform oral endotracheal intubation, therefore, we extended the neck wound, probed the trachea, inserted a tracheal tube directly from the cervical wound in the emergency room. Tracheoplasty and another wound cleansing were performed in the operating room. The patient was discharged on the 18th day after surgery, without further complications.ConclusionsTracheal injury from a dog bite is rare. It is important prompt and accurate diagnosis and treatment.