bluuebunny/crossref_metadata_2025_split huggingface dataset:
Complete genome sequence and phylogenomic analysis of the first N4-like lytic bacteriophage vB_Ppp_A38 (ϕA38) infecting Pectobacterium parmentieri
Authors: Czajkowski Robert , Rabalski Lukasz , Kosinski Maciej , Smolarska Anna 
Published: July 2021

AbstractPectobacterium parmentieri (former Pectobacterium wasabiae) is an emerging pectinolytic bacterial pathogen causing losses in potato (Solanum tuberosum L.) worldwide. Until now, there are no effective measures to protect crops from infections caused by P. parmentieri. Likewise, little is known about lytic bacteriophages that can infect and kill P. parmentieri, and that could be used in the (bio)control of this pathogen in agricultural applications. A novel lytic bacteriophage vB_Ppp_A38 (ϕA38), belonging to the order Caudovirales, was isolated and characterised in our previous studies. This report provides information about its complete genome sequence and accompanying phylogenomics. The genome of vB_Ppp_A38 consists of 75,764-bp-length, linear, double-stranded DNA with an average GC content of 48.7% and is predicted to have 97 open reading frames (ORFs), with an average length of 732 nucleotides. The open reading frames were classified into functional groups, including structural units, packing, DNA metabolism, regulation and additional (miscellaneous) functions. Comparative genomic analyses based on the whole-genome sequence indicated that the phage vB_Ppp_A38 is most similar to N4-like viruses of the family Schitoviridae, genus Cbunavirus, sharing more than 90% identity with the phages vB_PatP_CB1, vB_PatP_CB3 and vB_PatP_CB4 infecting P. atrosepticum. The bacteriophage vB_Ppp_A38 is the first Cbunavirus bacteriophage infecting other Pectobacterium spp. hosts than P. atrosepticum. As vB_Ppp_A38 is a lytic virus able to kill plant-pathogenic P. parmentieri, it can be used in the biological control of this pathogen in agricultural applications.
Increasing Human Papillomavirus Vaccination in a Federally Qualified Health Center Organization Using a Systems-Based Intervention Integrating EHR and Statewide Immunization Information System
Authors: Vinci Debra M. , Ryan Jessica , Howard Maureen , Snider Dallas , Strahan Brandy , Smith Gregg , McClain Rebecca 
Published: July 2021

AbstractPublic acceptance of the HPV vaccine has not matched that of other common adolescent vaccines, and HPV vaccination rates remain below the Healthy People 2020 target of 80% compliance. The purpose of this study was to evaluate the capacity of nine pediatric clinics in a Federally Qualified Health Center organization to implement a systems-based intervention targeting office staff and providers using EHRs and a statewide immunization information system to increase HPV vaccination rates in girls and boys, ages 11 to 16 over a 16-month period. System changes included automated HPV prompts to staff, postcard reminders to parents when youths turned 11 or 12 years old, and monthly assessment of provider vaccination rates.During the intervention, 8960 patients (11–16 yo) were followed, with 48.8% girls (n = 4370) and 51.2% boys (n = 4590). For this study period, 80.5% of total patients received the first dose of the HPV vaccine and 47% received the second dose. For the first dose, 55.5% of 11 year old girls and 54.3% of 11 year old boys were vaccinated. For ages 12 to 16, first dose vaccination rates ranged from the lowest rate of 84.5% for 14 yo girls up to the highest rate of 90.5% for 13 yo boys. Logistic regression showed age was highly significantly associated with first dose completion (OR 1.565, 95% CI 1.501, 1.631) while males did not have a significant association with first dose completion compared to females. The intervention increased overall counts of first and second HPV vaccination rates.
In silico screening of neurokinin receptor antagonists as a therapeutic strategy for neuroinflammation in Alzheimer’s disease
Authors: Satarker Sairaj , Maity Swastika , Mudgal Jayesh , Nampoothiri Madhavan 
Published: July 2021

AbstractNeuroinflammation is one of the detrimental factors leading to neurodegeneration in Alzheimer’s disease (AD) and other neurodegenerative disorders. The activation of microglial neurokinin 1 receptor (NK1R) by substance P (SP) enhances neuroinflammation which is mediated through pro-inflammatory pathways involving NFkB, ERK1/2, and P38 and thus projects the scope and importance of NK1R inhibitors. Emphasizing the inhibitory role of N Acetyl l Tryptophan (l-NAT) on NK1R, this is the first in silico screening of l-NAT mediated NK1R antagonism. In addition, FDA- approved ligands were screened for their potential NK1R antagonism. The l-NAT was docked in XP (Extra Precision) mode while FDA-approved ligands were screened in HTVS (High Throughput Virtual Screening), SP (Standard Precision), and XP mode onto NK1R (PDB:6HLO). The l-NAT and top 3 compounds FDA-approved ligands were subjected to molecular dynamics (MD) studies of 100 ns simulation time. The XP docking of l-NAT, indacaterol, modafinil and alosetron showed good docking scores. Their 100 ns MD showed brief protein–ligand interactions with an acceptable root mean square deviation. The protein–ligand contacts depicted pi-pi stacking, pi-cation, hydrogen bonds, and water bridges with the amino acids necessary for NK1R inhibition. The variable colour band intensities on the protein–ligand contact map indicated their binding strength with amino acids. The molecular mechanics/generalized born surface area (MM-GBSA) scores suggested favourable binding free energy of the complexes. Thus, our study predicted the ability of l-NAT, indacaterol, modafinil, and alosetron as capable NK1R inhibitors that can aid to curb neuroinflammation in conditions of AD which could be further ascertained in subsequent studies.
Graphic Abstract
Schizophrenia, Temporality, and Affection
Authors: Sul Jae Ryeong 
Published: July 2021

AbstractTemporal experience and its radical alteration in schizophrenia have been one of the central objects of investigation in phenomenological psychopathology. Various phenomenologically oriented researchers have argued that the change in the mode of temporal experience present in schizophrenia can foreground its psychotic symptoms of delusion. This paper aims to further the development of such a phenomenological investigation by highlighting a much-neglected aspect of schizophrenic temporal experience, i.e., its non-emotional affective characteristic. In this paper, it denotes the type of an experience wherein an afflicted individual experiences a pervasive pull or attraction coming from the past, present, and future. By employing Husserl’s account of affection, I argue that such an affectively prominent temporal experience is not yet another abnormality that happens to be present in schizophrenia. Instead, it is indicative of the core disturbance that underpins the schizophrenic temporal mode of experience. I identify such a disturbance as ‘affective modification dysfunction’ and employ it as a core concept with which I synthesize and organise heterogeneous components of schizophrenic temporal experience in their conceptual unity. For the sake of clear description, I organise those components into the following categories: 1.) Time Stop 2.) Ante-festum 3.) Déjà vu/vécu and 4.) Time Fragmentation. I conclude by demonstrating how approaching schizophrenic temporal experience from its affective dimension can further help us better understand its pre-psychotic phase known to precipitate schizophrenic primary delusion, i.e., delusional mood.
Efficient Experimental and Data-Centered Workflow for Microstructure-Based Fatigue Data
Authors: Durmaz A. R. , Hadzic N. , Straub T. , Eberl C. , Gumbsch P. 
Published: August 2021

AbstractBackgroundEarly fatigue mechanisms for various materials are yet to be unveiled for the (very) high-cycle fatigue (VHCF) regime. This can be ascribed to a lack of available data capturing initial fatigue damage evolution, which continues to adversely affect data scientists and computational modeling experts attempting to derive microstructural dependencies from small sample size data and incomplete feature representations.ObjectiveThe aim of this work is to address this lack and to drive the digital transformation of materials such that future virtual component design can be rendered more reliable and more efficient. Achieving this relies on fatigue models that comprehensively capture all relevant dependencies.MethodsTo this end, this work proposes a combined experimental and data post-processing workflow to establish multimodal fatigue crack initiation and propagation data sets efficiently. It evolves around fatigue testing of mesoscale specimens to increase damage detection sensitivity, data fusion through multimodal registration to address data heterogeneity, and image-based data-driven damage localization.ResultsA workflow with a high degree of automation is established, that links large distortion-corrected microstructure data with damage localization and evolution kinetics. The workflow enables cycling up to the VHCF regime in comparatively short time spans, while maintaining unprecedented time resolution of damage evolution. Resulting data sets capture the interaction of damage with microstructural features and hold the potential to unravel a mechanistic understanding.ConclusionsThe proposed workflow lays the foundation for future data mining and data-driven modeling of microstructural fatigue by providing statistically meaningful data sets extendable to a wide range of materials.
Prediction of Particle Properties in Plasma Spraying Based on Machine Learning
Authors: Bobzin K. , Wietheger W. , Heinemann H. , Dokhanchi S. R. , Rom M. , Visconti G. 
Published: August 2021

AbstractThermal spraying processes include complex nonlinear interdependencies among process parameters, in-flight particle properties and coating structure. Therefore, employing computer-aided methods is essential to quantify these complex relationships and subsequently enhance the process reproducibility. Typically, classic modeling approaches are pursued to understand these interactions. While these approaches are able to capture very complex systems, the increasingly sophisticated models have the drawback of requiring considerable calculation time. In this study, two different Machine Learning (ML) methods, Residual Neural Network (ResNet) and Support Vector Machine (SVM), were used to estimate the in-flight particle properties in plasma spraying in a much faster manner. To this end, data sets comprising the process parameters such as electrical current and gas flow as well as the in-flight particle velocities, temperatures and positions have been extracted from a CFD simulation of the plasma jet. Furthermore, two Design of Experiments (DOE) methods, Central Composite Design (CCD) and Latin Hypercube Sampling (LHS), have been employed to cover a set of representative process parameters for training the ML models. The results show that the developed ML models are able to estimate the trends of particle properties precisely and dramatically faster than the computation-intensive CFD simulations.
Internal bracing in the treatment of elbow instabilities
Authors: Ellwein Alexander , Lill Helmut , Smith Tomas , DeyHazra Rony-Orijit , Warnhoff Mara , Jensen Gunnar 
Published: August 2021

AbstractInternal bracing is an augmentation of ligament repair or reconstruction using a non-absorbable suture tape. The suture reinforcement of the ligament is intended to absorb the forces applied to the joint while the ligament repair or reconstruction underneath is healing. The rigidity of the construct is expected to improve primary stability, which should facilitate and accelerate postoperative mobilization and rehabilitation. Nevertheless, internal bracing is a novel treatment and data is limited. Therefore, this review describes the surgical techniques and provides an overview of the current literature regarding acute and chronic instabilities of the medial and lateral elbow treated with internal bracing.
Fruit maturity and location identification of beef tomato using R-CNN and binocular imaging technology
Authors: Hsieh Kuang-Wen , Huang Bo-Yu , Hsiao Kai-Ze , Tuan Yu-Hao , Shih Fu-Pang , Hsieh Li-Cheng , Chen Suming , Yang I-Chang 
Published: August 2021

AbstractThe objective of this study was to identify the maturity and position of tomatoes in greenhouse. Three parts have been included in this study: building the model of image capturing and object detection, position identification of mature fruits and prediction of the size of the mature fruits. For the first part, image capturing in different time and object detection will be conducted in the greenhouse for identification of mature fruits. For the second part, the relative 3D position of the mature fruits calculated by the binocular vision was compared with the actual measured position. For the third part, the size of the bounding box from the object detection was compared with the actual size of the mature fruit, and the correlation was calculated in order to pre-adjust the width of the gripper for plucking operation in the future. The precision and the recall of the mature fruits of this study are over 95%. The average error of the 3D position is 0.5 cm. The actual size of the fruits and the R-squared of the size of the bounding box are over 0.9.
Robotic versus laparoscopic right hemicolectomy: a case-matched study
Authors: Hannan Enda , Feeney Gerard , Ullah Mohammad Fahad , Ryan Claire , McNamara Emma , Waldron David , Condon Eoghan , Coffey John Calvin , Peirce Colin 
Published: August 2021

AbstractThe current gold standard surgical treatment for right colonic malignancy is the laparoscopic right hemicolectomy (LRH). However, laparoscopic surgery has limitations which can be overcome by robotic surgery. The benefits of robotics for rectal cancer are widely accepted but its use for right hemicolectomy remains controversial. The aim of this study was to compare outcomes in patients undergoing robotic right hemicolectomy (RRH) and LRH in a university teaching hospital. Demographic, perioperative and postoperative data along with early oncological outcomes of patients who underwent RRH and LRH with extracorporeal anastomosis (ECA) were identified from a prospectively maintained database. A total of 70 patients (35 RRH, 35 LRH) were identified over a 4-year period. No statistically significant differences in estimated blood loss, conversion to open surgery, postoperative complications, anastomotic leak, 30-day reoperation, 30-day mortality, surgical site infection or lengths of stay were demonstrated. Surgical specimen quality in both groups was favourable. The mean duration of surgery was longer in RRH (p <  < 0.00001). A statistically significant proportion of RRH patients had a higher BMI and ASA grade. The results demonstrate that RRH is safe and feasible when compared to LRH, with no statistical difference in postoperative morbidity, mortality and early oncological outcomes. A difference was noted in operating time, however was influenced by training residents in docking the robot and a technically challenging cohort of patients. Operative time has shortened with further experience. Incorporating an intracorporeal anastomosis technique in RRH offers the potential to improve outcomes compared to LRH.
A Review of Secondary Aluminum Production and Its Byproducts
Authors: Padamata Sai Krishna , Yasinskiy Andrey , Polyakov Peter 
Published: July 2021

AbstractSecondary aluminum production is required for the conservation of the environment. It can significantly reduce greenhouse gas emissions and energy consumption and reduce the consumption of alumina, a source of primary aluminum. Secondary aluminum production requires sorting processes for the metal scrap before starting the refining process. Salt slags generated from both primary and secondary aluminum production need to be recycled/treated as they are considered hazardous byproducts. This review paper discusses the methods used for sorting and refining aluminum waste and managing and utilizing slag cakes/slag from recycling techniques.
Verification of Trail Making Test in Elderly People with Behavioral and Psychological Symptoms of Dementia
Authors: Toda Atsushi , Nagami Shinsuke , Katsumata Ayako , Fukunaga Shinya 
Published: July 2021

AbstractIn Alzheimer's disease (AD), attention and executive dysfunction occur early in the disease. However, little is known about the relationship between these disorders and behavioral and psychological symptoms of dementia (BPSD). This study investigated the relationship between BPSD and attention and execution functions. Twenty-five patients with mild cognitive impairment (MCI) and early AD were included. Neuropsychological tests, mini-mental state examination (MMSE), Raven’s colored progressive materials (RCPM), and trail making test (TMT) were conducted for patients with dementia. The dementia behavior disturbance scale (DBD) was used for psychological and behavioral evaluations of patients with dementia. The AD group showed significantly lower MMSE, DBD, and TMT-B scores than the MCI group. Multiple regression analyses revealed a significant correlation between DBD score, MMSE, and TMT-B.Conclusion: BPSD is associated with cognitive function severity in patients with MCI and early AD, suggesting that attentional and executive functions are independent risk factors for these neural substrates.
Integrated backscatter-intravascular ultrasound and modification of plaque during excimer laser coronary angioplasty
Authors: Sasaki Satoru , Nakajima Kenji , Watanabe Keizo , Nozaki Yudai , Yuguchi Tadashi , Sano Hiroyuki , Matsutera Ryo , Murai Naoki , Abe Hiroaki , Takaoka Hideyuki 
Published: July 2021

AbstractThis study aims to test the hypothesis that the effect of excimer laser coronary angioplasty (ELCA) not only vaporizes thrombi and their underlying coronary plaque, it also changes their quality. We performed a series of cross-sectional analyses in 52 lesions in 51 patients before and after ELCA with integrated backscatter-intravascular ultrasound (IB-IVUS). The constituent parts of the plaque can be assessed by IB-IVUS (i.e., calcified, fibrous, lipid) according to integrated backscatter values. Minimum lumen diameter, lumen volume and vessel volume expanded after ELCA, while plaque volume did not significantly decrease. There was also a decrease of ‘lipid’ component (35.4–30.3%, P < 0.001) and an increase of IB-IVUS-derived ‘fibrous’ part (34.5–38.3%, P < 0.001). These results may help in understanding plaque change after ELCA. Excimer laser coronary angioplasty seems to contribute to the modification of coronary plaque composition in addition to debulking it.
Philosophy of sustainability experimentation _ experimental legacy, normativity and transfer of evidence
Authors: Stojanovic Milutin 
Published: July 2021

AbstractThe recent proliferation of types and accounts of experimentation in sustainability science still lacks philosophical reflection. The present paper introduces this burgeoning topic to the philosophy of science by identifying key notions and dynamics in sustainability experimentation, by discussing taxonomies of sustainability experimentation and by focusing on barriers to the transfer of evidence. It integrates three topics: the philosophy of experimentation; the sustainability science literature on experimentation; and discussions on values in science coming from the general philosophy of science, the social sciences, and sustainability science. The aim is to improve understanding of how sustainability experimentation has evolved, from a broader picture of the history and philosophy of science, with a specific focus on understanding evidence production and how evidence traveling in and from sustainability experiments can be improved, particularly in the context of complex and pervasive normative commitments of the research. By engaging in these topics, this research is one of the first philosophical accounts of sustainability experimentation, contributing both to the knowledge on specific philosophies of science and to the further development of an evidence-based sustainability science through a better understanding of the barriers to more relevant and usable knowledge.
Jordan triple homomorphisms on $${\mathcal {T}}_\infty (F)$$
Authors: Słowik Roksana 
Published: August 2021

AbstractLet$${\mathcal {T}}_\infty (F)$$T∞(F)be the algebra of all$${\mathbb {N}}\times {\mathbb {N}}$$N×Nupper triangular matrices defined over a fieldFof characteristic different from 2. We consider the Jordan triple homomorphisms of$${\mathcal {T}}_\infty (F)$$T∞(F), i.e. the additive maps that satisfy the condition$$\phi (xyx)=\phi (x)\phi (y)\phi (x)$$ϕ(xyx)=ϕ(x)ϕ(y)ϕ(x)for all$$x,y\in {\mathcal {T}}_\infty (F)$$x,y∈T∞(F). For the case whenFis a prime field we find the form of all such maps$$\phi $$ϕ. For the general case we present the form of the surjective maps$$\phi $$ϕ.
Fatigue assessment of additively manufactured AlSi10Mg structures using effective stress concepts based on the critical distance approach
Authors: Schnabel Kai , Baumgartner Jörg , Möller Benjamin , Scurria Matilde 
Published: August 2021

AbstractIn the last decade, Additive Manufacturing (AM) technologies have been considered by both the automotive and aerospace industries for the production of end-use metallic parts, with a main focus on Powder Bed Fusion – Laser Beam / metallic (PBF-LB/M) technologies. However, AM parts present features that are deleterious to their cyclic properties. For a reliable design in terms of fatigue strength, existing influencing variables must be identified and transferred to a numerical model. In particular, different types of defects, as well as their distribution, should be taken into account. In addition to the identification of relevant parameters based on literature data, an AlSi10Mg component-like structure is assessed based on results from notched specimens and a linear-elastic assessment concept using effective stresses.
A Review of Coccidioides Research, Outstanding Questions in the Field, and Contributions by Women Scientists
Authors: Gorris Morgan E. , Caballero Van Dyke Marley C. , Carey Adrienne , Hamm Paris S. , Mead Heather L. , Uehling Jessie K. 
Published: August 2021

Abstract
Purpose of Review
Coccidioidomycosis is an infectious disease that gained clinical significance in the early 20th century. Many of the foundational contributions to coccidioidomycosis research, including the discovery of the fungal disease agent, Coccidioides spp., were made by women. We review recent progress in Coccidioides research and big questions remaining in the field, while highlighting some of the contributions from women.

Recent Findings
New molecular-based techniques provide a promising method for detecting Coccidioides, which can help determine the dominate reservoir host and ideal environmental conditions for growth. Genetic and genomic analyses have allowed an understanding of population structure, species level diversity, and evolutionary histories. We present a current, comprehensive genome list, where women contributed many of these entries. Several efforts to develop a coccidioidomycosis vaccine are underway.

Summary
Women continue to pioneer research on Coccidioides, including the relationships between the fungi and the environment, genetics, and clinical observations. Significant questions remain in the field of Coccidioides, including the main host reservoir, the relationships between genotypic and phenotypic variation, and the underlying cause for chronic clinical coccidioidomycosis cases.