bluuebunny/crossref_metadata_2025_split huggingface dataset:
Designing electrode configuration of electroosmosis based edema treatment as a complement to hyperosmotic therapy
Authors: Wang Teng , Kleiven Svein , Li Xiaogai 
Published: July 2021

AbstractBackgroundHyperosmotic therapy is a mainstay treatment for cerebral edema. Although often effective, its disadvantages include mainly acting on the normal brain region with limited effectiveness in eliminating excess fluid in the edema region. This study investigates how to configure our previously proposed novel electroosmosis based edema treatment as a complement to hyperosmotic therapy.MethodsThree electrode configurations are designed to drive the excess fluid out of the edema region, including 2-electrode, 3-electrode, and 5-electrode designs. The focality and directionality of the induced electroosmotic flow (EOF) are then investigated using the same patient-specific head model with localized edema.ResultsThe 5-electrode design shows improved EOF focality with reduced effect on the normal brain region than the other two designs. Importantly, this design also achieves better directionality driving excess edema tissue fluid to a larger region of surrounding normal brain where hyperosmotic therapy functions better. Thus, the 5-electrode design is suggested to treat edema more efficiently via a synergic effect: the excess fluid is first driven out from the edema to surrounding normal brain via EOF, where it can then be treated with hyperosmotic therapy. Meanwhile, the 5-electrode design drives 2.22 mL excess fluid from the edema region in an hour comparable to the other designs, indicating a similar efficiency of EOF.ConclusionsThe results show that the promise of our previously proposed novel electroosmosis based edema treatment can be designed to achieve better focality and directionality towards a complement to hyperosmotic therapy.
Amino acid metabolism as a therapeutic target in cancer: a review
Authors: Endicott Molly , Jones Michael , Hull Jonathon 
Published: July 2021

AbstractMalignant cells often demonstrate a proliferative advantage when compared to non-malignant cells. However, the rapid growth and metabolism required for survival can also highlight vulnerabilities specific to these malignant cells. One such vulnerability exhibited by cancer is an increased demand for amino acids (AAs), which often results in a dependency on exogenous sources of AAs or requires upregulation of de novo synthesis. These metabolic alterations can be exploited by therapy, which aims to improve treatment outcome and decrease relapse and reoccurrence. One clinically utilised strategy targeting AA dependency is the use of asparaginase in the treatment of acute lymphoblastic leukaemia (ALL), which results in a depletion of exogenous asparagine and subsequent cancer cell death. Examples of other successful strategies include the exploitation of arginine deiminase and methioninase, nutrient restriction of methionine and the inhibition of glutaminase. In this review, we summarise these treatment strategies into three promising avenues: AA restriction, enzymatic depletion and inhibition of metabolism. This review provides an insight into the complexity of metabolism in cancer, whilst highlighting these three current research avenues that have support in both preclinical and clinical settings.
CSO Classifier 3.0: a scalable unsupervised method for classifying documents in terms of research topics
Authors: Salatino Angelo , Osborne Francesco , Motta Enrico 
Published: July 2021

AbstractClassifying scientific articles, patents, and other documents according to the relevant research topics is an important task, which enables a variety of functionalities, such as categorising documents in digital libraries, monitoring and predicting research trends, and recommending papers relevant to one or more topics. In this paper, we present the latest version of the CSO Classifier (v3.0), an unsupervised approach for automatically classifying research papers according to the Computer Science Ontology (CSO), a comprehensive taxonomy of research areas in the field of Computer Science. The CSO Classifier takes as input the textual components of a research paper (usually title, abstract, and keywords) and returns a set of research topics drawn from the ontology. This new version includes a new component for discarding outlier topics and offers improved scalability. We evaluated the CSO Classifier on a gold standard of manually annotated articles, demonstrating a significant improvement over alternative methods. We also present an overview of applications adopting the CSO Classifier and describe how it can be adapted to other fields.
Evaluation of the InTray and Compact Dry culture systems for the diagnosis of urinary tract infections in patients presenting to primary health clinics in Harare, Zimbabwe
Authors: Olaru Ioana D. , Elamin Wael , Chisenga Mutsawashe , Malou Nada , Piton Jeremie , Yeung Shunmay , Ferrand Rashida A. , Hopkins Heidi , Chonzi Prosper , Masunda Kudzai P. E. , Manangazira Portia , Ferreyra Cecilia , Kranzer Katharina 
Published: July 2021

AbstractAntimicrobial resistance surveillance data is lacking from many resource-limited settings mainly due to limited laboratory testing. Novel culture systems may address some of the limitations of conventional culture media and expand the availability of microbiology services. The aims of this study were to evaluate the performance of InTray COLOREX Screen/ESBL and Compact Dry for the detection of uropathogens and of extended-spectrum beta-lactamase (ESBL)-producing organisms from urine samples. Urines samples were collected from patients presenting with symptoms of urinary tract infection to primary care clinics in Harare. Performance of the InTray COLOREX Screen, ESBL and Compact Dry chromogenic media were compared to the reference of culture using Brilliance UTI agar and conventional antimicrobial susceptibility testing. A total of 414 samples were included in the analysis. Of the included samples, 98 were positive on Brilliance UTI agar and 83 grew Enterobacterales. The sensitivities and specificities for Enterobacterales were 89.2% (95% CI 80.4–94.9) and 98.2% (95% CI 96.1–99.3) for InTray Screen and 95.2% (95% CI 88.1–98.7) and 99.7% (95% CI 98.3–100) for Compact Dry. Extended-spectrum beta-lactamases were present in 22 isolates from the Brilliance UTI agar. The sensitivity of the InTray COLOREX ESBL culture plates for the detection of ESBL-producing organisms was 95.5% (95% CI 77.2–99.9) and specificity was 99.5% (95% CI 98.2–99.9%). Our findings show good performance of the novel culture systems for the detection of uropathogens and ESBL-producing organisms. Both systems have several advantages over conventional media and have the potential to expand and decentralize laboratory testing.
Anatomical aspects of the insula, opercula and peri-insular white matter for a transcortical approach to insular glioma resection
Authors: Dziedzic Tomasz Andrzej , Bala Aleksandra , Marchel Andrzej 
Published: July 2021

AbstractThe insula is a lobe located deep in each hemisphere of the brain and is surrounded by eloquent cortical, white matter, and basal ganglia structures. The aim of this study was to provide an anatomical description of the insula and white matter tracts related to surgical treatment of gliomas through a transcortical approach. The study also discusses surgical implications in terms of intraoperative brain mapping. Five adult brains were prepared according to the Klingler technique. Cortical anatomy was evaluated with the naked eye, whereas white matter dissection was performed with the use of a microscope. The widest exposure of the insular surface was noted through the temporal operculum, mainly in zones III and IV according to the Berger-Sanai classification. By going through the pars triangularis in all cases, the anterior insular point and most of zone I were exposed. The narrowest and deepest operating field was observed by going through the parietal operculum. This method provided a suitable approach to zone II, where the corticospinal tract is not covered by the basal ganglia and is exposed just under the superior limiting sulcus. At the subcortical level, the identification of the inferior frontoocipital fasciculus at the level of the limen insulae is critical in terms of preserving the lenticulostriate arteries. Detailed knowledge of the anatomy of the insula and subcortical white matter that is exposed through each operculum is essential in preoperative planning as well as in the intraoperative decision-making process in terms of intraoperative brain mapping.
Is Deep-Learning and Natural Language Processing Transcending the Financial Forecasting? Investigation Through Lens of News Analytic Process
Authors: Khalil Faisal , Pipa Gordon 
Published: July 2021

AbstractThis study tries to unravel the stock market prediction puzzle using the textual analytic with the help of natural language processing (NLP) techniques and Deep-learning recurrent model called long short term memory (LSTM). Instead of using count-based traditional sentiment index methods, the study uses its own sum and relevance based sentiment index mechanism. Hourly price data has been used in this research as daily data is too late and minutes data is too early for getting the exclusive effect of sentiments. Normally, hourly data is extremely costly and difficult to manage and analyze. Hourly data has been rarely used in similar kinds of researches. To built sentiment index, text analytic information has been parsed and analyzed, textual information that is relevant to selected stocks has been collected, aggregated, categorized, and refined with NLP and eventually converted scientifically into hourly sentiment index. News analytic sources include mainstream media, print media, social media, news feeds, blogs, investors’ advisory portals, experts’ opinions, brokers updates, web-based information, company’ internal news and public announcements regarding policies and reforms. The results of the study indicate that sentiments significantly influence the direction of stocks, on average after 3–4 h. Top ten companies from High-tech, financial, medical, automobile sectors are selected, and six LSTM models, three for using text-analytic and other without analytic are used. Every model includes 1, 3, and 6 h steps back. For all sectors, a 6-hour steps based model outperforms the other models due to LSTM specialty of keeping long term memory. Collective accuracy of textual analytic models is way higher relative to non-textual analytic models.
Brief Report: The Effectiveness of Hugging a Huggable Device Before Having a Conversation with an Unfamiliar Person for Autism Spectrum Disorders
Authors: Kumazaki Hirokazu , Sumioka Hidenobu , Muramatsu Taro , Yoshikawa Yuichiro , Shimaya Jiro , Iwanaga Ryoichiro , Ishiguro Hiroshi , Sumiyoshi Tomiki , Mimura Masaru 
Published: July 2021

AbstractSensory overresponsivity (SOR) emerges before anxiety and positively predicts subsequent increasing levels of anxiety in individuals with autism spectrum disorder (ASD). Sensory seeking behavior occurs as compensation for SOR, and individuals may seek sensory input in one sensory domain to compensate for SOR. Tactile seeking behavior is sufficient to decrease social anxiety in communicating with unfamiliar people. We assessed the effectiveness of hugging a huggable device before a conversation for reducing the psychological stress associated with speaking to an unfamiliar person or robot. Our analysis showed a significant effect, with Hugvie contributing to decreased stress for both interlocutors. Thus, this study demonstrated the efficacy of hugging it before conversation, which emphasizes the importance of tactile seeking for individuals with ASD.
Delay-induced blow-up in a planar oscillation model
Authors: Eremin Alexey , Ishiwata Emiko , Ishiwata Tetsuya , Nakata Yukihiko 
Published: July 2021

AbstractIn this paper we study a system of delay differential equations from the viewpoint of a finite time blow-up of the solution. We prove that the system admits blow-up solutions, no matter how small the length of the delay is. In the non-delay system every solution approaches to a stable unit circle in the plane, thus time delay induces blow-up of solutions, which we call “delay-induced blow-up” phenomenon. Furthermore, it is shown that the system has a family of infinitely many periodic solutions, while the non-delay system has only one stable limit cycle. The system studied in this paper is an example that arbitrary small delay can be responsible for a drastic change of the dynamics. We show numerical examples to illustrate our theoretical results.
Can (perceived) mental-rotation performance mediate gender differences in math anxiety in adolescents and young adults?
Authors: Rahe Martina , Quaiser-Pohl Claudia 
Published: July 2021

AbstractMath anxiety is a negative affective reaction in situations concerning mathematics and is related to poor math performance and a lower mathematical self-concept. Gender differences appear in math anxiety even though gender differences in math abilities are non-existent or minimal in effect size. In the present study, gender and age differences in math anxiety, mental-rotation performance, and perceived mental-rotation performance are investigated as well as (perceived) mental-rotation performance as possible mediators of the relation between gender and math anxiety. Ninety-seven children (54 females) between 11 and 15 years and 84 undergraduate students (59 females) solved a mental-rotation test, rated their performance in this test, and filled out a questionnaire about math anxiety. Increasing gender differences with age were found for math anxiety, mental-rotation performance, and perceived mental-rotation performance. Mental-rotation performance and perceived mental-rotation performance were significant individual mediators for gender differences in math anxiety. Adequate measures should be discussed to enhance females’ mental-rotation abilities and their perception of these skills to reduce gender differences in math anxiety.
Firearm Storage Practices of US Members of the American College of Surgeons
Authors: Campbell Brendan T. , Kuhls Deborah A. , Talley Cynthia L. , Bulger Eileen M. , Stewart Ronald M. 
Published: July 2021

BACKGROUND:
As a part of its firearm injury prevention action plan, the American College of Surgeons (ACS) surveyed the entire US ACS membership regarding individual members’ knowledge, experience, attitudes, degree of support for ACS Committee on Trauma (COT) firearm programs, and degree of support for a range of firearm injury prevention policies. This survey included questions regarding members’ prevalence of firearm ownership, type of firearm(s) owned, type of firearm(s) in the home, personal reasons for firearm ownership, and methods of firearm/ammunition storage.

STUDY DESIGN:
An email invitation to participate in an anonymous, 23-item survey on firearms was sent to all US ACS members (n = 54,761) by a contracted survey research firm. Cross tabulation of questionnaire items by demographic characteristics and chi-square analyses were performed with statistical significance p < 0.05.

RESULTS:
The overall response rate was 20.4% (11,147/54,761). Forty-two percent of respondents keep firearms in their home (82% long guns, 82% handguns; 32% high-capacity magazine fed, semi-automatic rifles); 75% keep guns for self-defense/protection, 73% for target shooting; 39% store firearms unlocked, and 32% store guns unlocked and loaded. Results vary by practice/training location, practice type, military experience, sex, age, presence of children in the home, level of training, and race/ethnicity.

CONCLUSIONS:
A significant percentage of ACS members keep firearms in their home, and nearly one-third store firearms in an unlocked and loaded fashion. Safe storage is a basic tenet of responsible firearm ownership. These data present opportunities for engaging surgeons in efforts to improve safe firearm storage.
Survey of American College of Surgeons Members on Firearm Injury Prevention
Authors: Kuhls Deborah A. , Campbell Brendan T. , Thomas Arielle , Michaels Holly , Bulger Eileen M. , Stewart Ronald M. 
Published: July 2021

BACKGROUND:
Firearm-related injuries and deaths continue to be a substantial public health burden in the US. The purpose of this study was to describe the results of a survey of US members of the American College of Surgeons (ACS) on their practices, attitudes, and beliefs about firearms and firearm policies. The survey was designed to gain a representative understanding of the views of all US ACS members to help inform ACS positions related to firearm injury prevention.

STUDY DESIGN:
A professional survey firm was engaged to facilitate the design of the survey and to support a web-based platform. Data collection through an anonymous survey began in July 2018, with the survey closing in September 2018. Survey data were weighted and analyses included descriptive and bivariate statistics.

RESULTS:
There were 54,761 ACS members invited to participate in the survey. Of those, 11,147 respondents completed the survey, for an overall response rate of 20.4%. Respondents were questioned on firearm experience, purpose of firearm ownership, opinions on firearm ownership, and importance of ACS support for specific firearm legislation. Survey results varied by practice and training location, practice type, military experience, gender, age, presence of children in the home, level of training, and race and ethnicity. Most survey respondents were ACS fellows (n = 7,579 [68%]), male (n = 8,671 [77.8%]), and White (n = 8,639 [77.5%]). Forty-two percent of respondents keep guns in their home. Seventy-five percent of respondents believe that it is very or extremely important for the ACS to support policy initiatives to lower the incidence of firearm injury.

CONCLUSIONS:
There is broad support among ACS members for many initiatives related to firearm injury prevention. The degree of support for these measures varies based on both the specific initiative and demographic characteristics. The results align with the ACS strategy of healthcare professionals working together to better understand and address the root causes of violence, and simultaneously working together to make firearm ownership as safe as reasonably possible.
Post-mortem Examination of the Nervous System: Fresh versus Fixed
Authors: Hammond Robert , Dunham Chris , McFadden Deborah , Del Bigio Marc , Perez-Rosendahl Mari , Vinters Harry V. 
Published: July 2021

ABSTRACT:Background:Post-mortem examination of the nervous system is a complex task that culminates in “brain cutting”. It relies on expertise in neuroanatomy, clinical neurosciences, neuroimaging and experience in order to recognise the most subtle abnormalities. Like any specialist examination in medicine, it warrants formal training, a standardised approach and optimal conditions. Revelations of aberrant tissue retention practices of a select few pathologists (e.g. Goudge, Liverpool and Alder Hey inquiries) and a motivated sociopolitical climate led some Canadian jurisdictions to impose broad restrictions on tissue retention. This raised concerns that nervous system examinations for diagnosis, education and research were at risk by limiting examinations to the fresh or incompletely fixed state. Professional experience indicates that cutting an unfixed or partly fixed brain is inferior.Methods:To add objectivity and further insight we sought the expert opinion of a group of qualified specialists. Canadian neuropathologists were surveyed for their opinion on the relative merits of examining brains in the fresh or fully fixed state.Results:A total of 14 out of 46 Canadian neuropathologists responded (30%). In the pervasive opinion of respondents, cutting and sampling a brain prior to full fixation leads to a loss of diagnostic accuracy, biosafety and academic deliverables.Conclusions:Brain cutting in the fresh state is significantly impaired along multiple dimensions of relevance to a pathologist’s professional roles and obligations.
Applying the lessons of implementation science to maximize feasibility and usability in team science intervention development
Authors: Rolland Betsy , Resnik Felice , Hohl Sarah D. , Johnson LaKaija J. , Saha-Muldowney Mondira , Mahoney Jane 
Published: July 2021

Abstract
The Science of Team Science (SciTS) has generated a substantial body of work detailing characteristics of effective teams. However, that knowledge has not been widely translated into accessible, active, actionable, evidence-based interventions to help translational teams enhance their team functioning and outcomes. Over the past decade, the field of Implementation Science has rapidly developed methods and approaches to increase the translation of biomedical research findings into clinical care, providing a roadmap for mitigating the challenges of developing interventions while maximizing feasibility and utility. Here, we propose an approach to intervention development using constructs from two Implementation Science frameworks, Consolidated Framework for Implementation Research, and Reach, Effectiveness, Adoption, Implementation, and Maintenance, to extend the Wisconsin Interventions for Team Science framework described in Rolland et al. 2021. These Implementation Science constructs can help SciTS researchers design, build, test, and disseminate interventions that meet the needs of both adopters, the institutional leadership that decides whether to adopt an intervention, and implementers, those actually using the intervention. Systematically considering the impact of design decisions on feasibility and usability may lead to the design of interventions that can quickly move from prototype to pilot test to pragmatic trials to assess their impact.
Counting Pandemic Statistics Remotely Using Webcams
Authors: Oury Jacob D , Ritter Frank E , Cissé Fatoumata B 
Published: July 2021

AbstractObjective:Lack of mask use during large public events might spread COVID-19. It is now possible to measure this and similar public health information using publicly available webcams. We demonstrate a rapid assessment approach for measuring mask usage at a public event.Method:We monitored crowds at public areas in Sturgis, SD using a live, high-definition, town-sponsored video stream to analyze the prevalence of mask wearing. We developed a rapid coding procedure for mask wearing and analyzed brief (5 to 25 min) video segments to assess mask-wearing compliance in outdoor public areas. We calculated compliance estimates and compared reliability among the human coders.Results:We were able to observe and quantify public behavior on the public streets. This approach rapidly estimated public health information (e.g., 512 people observed over 25 minutes with 2.3% mask usage) available on the same day. Coders produced reliable estimates across a sample of videos for counting masked users and mask-wearing proportion. Our video data is stored in Databrary.org.Conclusions:This approach has implications for disaster responses and public health. The approach is easy to use, can provide same day results, and can provide public health stakeholders with key information on public behavior.