bluuebunny/crossref_metadata_2025_split huggingface dataset:
Realist review of community coalitions and outreach interventions to increase access to primary care for vulnerable populations: a realist review
Authors: Welch Vivian , Pottie Kevin , Gaudet Caroline , Thuku Micere , Mallard Ryan , Spenceley Shannon , Amjed Nida , Wadhwani Arpana , Ghogomu Elizabeth , Scott Cathie , Dahrouge Simone 
Published: January 2023

Abstract
Background: There are meaningful gaps in equitable access to Primary Health Care (PHC), especially for vulnerable populations after widespread reforms in Western countries. The Innovative Models Promoting Access-to-Care Transformation (IMPACT) research program is a Canadian-Australian collaboration that aims to improve access to PHC for vulnerable populations. Relationships were developed with stakeholders in six regions across Canada and Australia where access-related needs could be identified. The most promising interventions would be implemented and tested to address the needs identified. This realist review was conducted to understand how community coalition and outreach (e.g., mobile or pop-up) services improve access for underserved vulnerable residents.
Objective: To inform the development and delivery of an innovative intervention to increase access to PHC for vulnerable populations.
Methods: A realist review was conducted in collaboration with the Local Innovative Partnership (LIP) research team and the IMPACT research members who conducted the review. We performed an initial comprehensive systematic search using MEDLINE, EMBASE, PsycINFO, and the Cochrane Library up to October 19, 2015, and updated it on August 8, 2020. Studies were included if they focused on interventions to improve access to PHC using community coalition, outreach services or mobile delivery methods. We included Randomized Controlled Trials (RCTs), and systematic reviews. Studies were screened by two independent reviewers and the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework was used for data extraction and framework analysis to obtain themes. The LIP research team was also allowed to suggest additional papers not included at screening.
Results: We included 43 records, comprising 31 RCTs, 11 systematic reviews, and 1 case control study that was added by the LIP research team. We identified three main themes of PHC interventions to promote access for vulnerable residents in a rural/remote setting, including: 1) tailoring of materials and services decreases barriers to primary health care, 2) services offered where vulnerable populations gather increases the “reach” of the interventions, 3) partnerships and collaborations lead to positive health outcomes. In addition, implementation designs and reporting elements should be considered.
Conclusion: Realist reviews can help guide the development of locally adapted primary health care interventions.
Lung infection by P. aeruginosa induces neuroinflammation and blood-brain barrier dysfunction in mice
Authors: Villalba Nuria , Ma Yonggang , Gahan Sarah A. , Joly-Amado Aurelie , Spence Sam , Yang Xiaoyuan , Nash Kevin , Yuan Sarah Y. 
Published: January 2023

Abstract

Background Severe lung infection can lead to brain dysfunction and neurobehavioral disorders. The mechanisms that regulate the lung-brain axis of inflammatory response to respiratory infection are incompletely understood. This study examined the effects of lung infection causing systemic and neuroinflammation as a potential mechanism contributing to blood-brain barrier (BBB) leakage and behavioral impairment. Methods Pneumonia was induced in adult C57BL/6 mice by intratracheal inoculation ofPseudomonas aeruginosa(PA). Solute extravasation, histology, immunofluorescence, RT-PCR, multiphoton imaging and neurological testing were performed in this study. Results Lung infection caused alveolar-capillary barrier injury as indicated by leakage of plasma proteins across pulmonary microvessels and histopathological characteristics of pulmonary edema (alveolar wall thickening, microvessel congestion, and neutrophil infiltration). PA also caused significant BBB dysfunction characterized by leakage of different sized molecules across cerebral microvessels and a decreased expression of cell-cell junctions (VE-cadherin, claudin-5) in the brain. BBB leakage peaked at 24 hours and lasted for 7 days post-inoculation. Additionally, mice with lung infection displayed hyperlocomotion and anxiety-like behaviors. To test whether cerebral dysfunction was caused by PA directly or indirectly, we measured bacterial load in multiple organs. While PA loads were detected in the lungs up to 7 days post-inoculation, bacteria were not detected in the brain as evidenced by negative cerebral spinal fluid (CSF) cultures and lack of distribution in different brain regions or isolated cerebral microvessels. However, mice with PA lung infection demonstrated increased mRNA expression in the brain of pro-inflammatory cytokines (IL-1β, IL-6, and TNF-α), chemokines (CXCL-1, CXCL-2) and adhesion molecules (VCAM-1 and ICAM-1) along with CD11b + cell recruitment, corresponding to their increased blood levels of white cells (polymorphonuclear cells) and cytokines. To confirm the direct effect of cytokines on endothelial permeability, we measured cell-cell adhesive barrier resistance and junction morphology in mouse brain microvascular endothelial cell monolayers, where administration of IL-1β induced a significant reduction of barrier function coupled with tight junction (TJ) diffusion and disorganization. Combined treatment with IL-1β and TNFα augmented the barrier injury. Conclusions These results suggest that lung bacterial infection causes cerebral microvascular leakage and neuroinflammation via a mechanism involving cytokine-induced BBB injury.
Self-exclusion and breaching of self-exclusion from gambling – a repeated survey study on the development of a nationwide self-exclusion service
Authors: Håkansson Anders , Komzia Nikoleta 
Published: January 2023

Abstract
Background: Voluntary self-exclusion from gambling is a common harm reduction tool in individuals with a gambling disorder. Previous data have demonstrated that many gamblers breach their own self-exclusion, typically through other online services outside the jurisdiction in which they are self-excluded. The present study aimed to carry out a new follow-up measure – similar to previous studies in the same setting – of self-exclusion and its breaching in Sweden, in order to allow for the follow-up assessment of a nationwide, multi-operator self-exclusion system introduced in Sweden in 2019.
Methods: A web survey to the web panel of a market survey company addressed 1,505 past-year gamblers, who responded to a number of questions about gambling habits, including screening for gambling problems using the Problem Gambling Severity Index and self-exclusion-related items corresponding to previous studies.
Results: Nine percent of past-year gamblers had self-excluded using the Spelpaus service. In logistic regression, self-exclusion was significantly associated with gambling problems, past-year online casino gambling, and absence of online poker gambling. Among self-excluders, 49 percent had ever gambled despite being self-excluded. Among those breaching their self-exclusion, the most common gambling types during self-exclusion were online casino (82 percent), sports betting (47 percent) and lotteries (43 percent).
Discussion: Self-exclusion remains a popular harm reduction tool against problem gambling, more common than in previous studies, mostly in individuals with recent gambling problems and in online casino gamblers. However, breaching self-exclusion is somewhat more common than in previous research. Online casino represents the most common means of self-exclusion breaching. Policy-making in the area needs to further address the risk of breaching one’s self-exclusion and may further address the risk of overseas gambling.
A Two Stage Stochastic Optimization Model for Port Infrastructure Planning
Authors: Bhurtyal Sanjeev , Hernandez Sarah , Eksioglu Sandra , Yves Manzi 
Published: January 2023

Abstract

This paper investigates inland port infrastructure investment planning under uncertain commodity demand conditions. A two-stage stochastic optimization is developed to model the impact of demand uncertainty on infrastructure planning and transportation decisions. The two-stage stochastic model minimizes the total expected costs, including the capacity expansion investment costs associated with handling equipment and storage, and the expected transportation costs. To solve the problem, an accelerated Benders decomposition algorithm is implemented. The Arkansas section of the McClellan -Kerr Arkansas River Navigation System (MKARNS) is used as a testing ground for the model. Results show that commodity volume and, as expected, the percent of that volume that moves via waterways (in ton-miles) increases with increasing investment in port infrastructure. The model is able to identify a cluster of ports that should receive investment in port capacity under any investment scenario. The use of a stochastic approach is justified by calculating the value of the stochastic solution (VSS).
The Middle Stone Age sequence at Klipfonteinrand 1 (KFR1), Western Cape, South Africa
Authors: Mackay Alex , Saktura Rosaria B.K. , O’Driscoll Corey A. , Boyd Kelsey C. , Marwick Ben , Moffat Ian , Jacobs Zenobia 
Published: January 2023

Abstract
The rock shelter site Klipfonteinrand 1 (KFR1), located on the edge of southern Africa’s Fynbos biome, was initially excavated by John Parkington in 1969. Due to difficulties resolving the stratigraphic sequence, the lack of age estimates, and generally poor organic preservation, the Middle Stone Age (MSA) components of the site have received limited attention. In this paper we report on the re-excavation, dating, palaeoecology, and cultural sequence recovered from a trench placed adjacent to Parkington’s original excavation. The refined sequence includes three stratigraphically distinct MSA components: a Howiesons Poort component dating to ~69 ka, and two early MSA components dating to ~85 ka and ~156 ka. These are overlain by two younger components dated to the late Pleistocene and early Holocene. Bedrock morphology at the site is complex, and the oldest component appears to be restricted to a small area of relatively deep (1.9 m) sediment accumulation towards the centre of the sheltered area. Phytoliths suggest limited change in floral communities near the site across the lowest three units – which include parts of Marine Isotope Stages (MIS) 6, 5 and 4 – reflecting the characteristic stability of the Fynbos biome. The stone artefacts in the oldest MSA component include large blades that are absent from the overlying strata, and that may be a distinct element of late MIS 6 technology in the area. Interestingly, neither the early MSA nor early Holocene components we describe here were encountered in the rear trench at the site, 3 m away, which instead produced a sequence dominated by Marine Isotope Stage 2 occupation. KFR1 presents new insights into the archaeology of the early MSA in southern Africa, while also providing a cautionary note on the discontinuous and spatially variable nature of rock shelter occupation in the region.
The role of management science in forming next era semantics
Authors: Neisig Margit 
Published: January 2023

Abstract
The paper outlines in a social system theoretical perspective a position for engaged scholarship in bridging the gulf between theorizing and practice. Partaking as “mid-wifes” for shared semantics in a polycentric network may be one role for engaged scholars to assist. However, for a shared semantic reservoir for “next era” leadership and management to form, one more layer of reflection is needed: how to manage “backwards” from the future. The paper addresses geographic inclusion/exclusion, which seems to be reinforced as digitalization and abstract knowledge are gaining ground, even though bits and abstract knowledge should easily be detached from spatial limitations. Research programs targeting “grand challenges” and “grand solutions” is defined by mega-projects defined and financed by large foundations or other large-scale actors, and well-connected international research centers and research networks are needed to influence this agenda-setting. The paper argues that forming regional polycentric networks (including scientific research scholars) may to a greater extend bridge the global agendas with local and regional issues to not be excluded in a transition process.
Beta-variant recombinant SARS CoV-2 vaccine induces durable cross-reactive antibodies against Omicron variants
Authors: Launay Odile , Gupta Rachna , Machabert Tifany , Konate Eleine , Rousseau Alexandra , Claire Vigne , Beckers Francois , Chicz Roman , Botelho-Nevers Elisabeth , Cachanado Marine , Chidiac Christian , Deplanque Dominique , Dussol Bertrand , Ghezala Inès Ben , Lachatre Marie , Lacombe Karine , Laine Fabrice , Nguyen Liem Binh Luong , Pavese Patricia , Schmidt-Mutter Catherine , Tavolacci Marie-Pierre , Devlin Louis , Coudsy Bogdana , Srid Saranya , Touati Amel , Tartour Eric , Simon Tabassome 
Published: January 2023

Abstract

We previously reported the safety and immunogenicity data from a randomized trial comparing the monovalent (MV) recombinant protein Beta-variant (MVB.1.351) and MV ancestral protein (MVD614) booster vaccines with AS03 adjuvant (Sanofi/GSK) to mRNA BNT162b2 vaccine (Pfizer-BioNTech). First booster of the vaccines was administered in adult participants previously primed with 2 doses of BNT162b2. A subset of these participants with available blood samples collected at Day 0 (D0), at 28 days (D28), and 3 months (M3) post-booster were contacted for additional testing (195/208 participants). The persistence of cross-neutralizing antibodies, including against Omicron BA.1 and BA.4/5, up to 3 months after boosting was evaluated using a validated pseudovirus neutralization assay. The data showed that the MVB.1.351 vaccine induced higher and durable cross-neutralizing antibodies against Omicron subvariants up to 3 months after boosting compared to a MV ancestral and the mRNA BNT162b2 booster vaccine.
WITHDRAWN: Analysis of point-of-care non-invasive Hb monitoring technique using NIR Spectrophotometry with standard invasive techniques
Authors: Kumar Yogesh , Dogra Ayush , Dhiman Varun , Singh Vishavpreet , Kaushik Ajeet , Kumar Sanjeev 
Published: January 2023

Abstract

Non-invasive bio-sensing is indispensable for safer patient care nowadays. In this regard, progressive developments for non-invasive haemoglobin (Hb) sensing used for anaemia diagnosis are based on digital photography or spectrometry, or spectrophotometric techniques. However, the analysis of these ailments by the non-invasive solutions stands challenging due to limiting satisfaction rate in various health conditions. An optimistic Near-Infrared (NIR) based spectrophotometric technique with an effective ML algorithm considering overcomplete influencing factors to overcome such challenges is presented in this manuscript. For this purpose, the data of 121 volunteers (19.27–55.46 years) has been employed to train and test the model using 5-Fold cross-validation with broad reference Hb values (8.2–17.4 g/dL). The highest accuracy is achieved using the mutual info regression feature selection technique with Support Vector Regression (SVR) and 3 input variables. Using this specific combination, cross-validation scores are obtained as; correlation coefficient (r_CV) = 0.796, standard deviation (SD_CV) = 1.069 g/dL, bias (Bias_CV)=-0.128 g/dL and limits of agreements (LoA_CV)= -2.223 to 1.967 g/dL. Moreover, variability between two standard devices is also presented to set the limits of agreement for the proposed technique. The mean scores to get the variability between two standard devices are observed as; r_mean = 0.970, SD_mean = 0.501 g/dL, Bias_mean = 0.209 g/dL and LoA_mean= -0.773 to 1.191 g/dL. Considerable precision in the range of ±1 g/dL is obtained while presenting the linear relationship between two standard devices. Therefore, the proposed technique is insurpassable and can expedite conventions for point-of-care (POC) applications in low-resource settings as well as in surgical sections which demand continuous monitoring.
Exploring the Extraction of Genomic DNA from Cooked meats and their Amplification
Authors: Ahmad Hafiz Hassan , Saleem Muhammad Zafar , Baqi Abdul 
Published: January 2023

AbstractMislabeling of meat products is a type of food fraud that can result in economic deception as well as interference with dietary restrictions due to allergens or religious beliefs. The purpose of this study is to describe an efficient DNA extraction method from processed meat. This work devised a procedure for genomic DNA isolation from the cooked meat of mammal species including goat, sheep, cow and buffalo. The predicted PCR products of 658 base pair (bp) were produced by PCR amplification using DNA that was extracted from cooked and processed meat samples. In this research, a high quality DNA was obtained from cooked meat of goat, sheep, cow and buffalo samples and analysis of whole genomic DNA has been carried out in agarose gel. The PCR results showed that the primers employed in this investigation generated bands with sizes between 650 and 700 bp at the annealing temperature of 55°C for all species. The extracted genomic DNA is of high quality to allow precise and accurate PCR amplification of cytochromecoxidase subunit 1 barcode. In this way, potential adulteration in a variety of meat products will be effectively detected using this technique.
The evolutionary origins of temporal discounting: an adaptive peak model shows how time and uncertainty impose constraints on selection for optimal decision-making in a temporal framework.
Authors: Villmoare Brian , Klein David , Lienard Pierre , McHale Timothy 
Published: January 2023

AbstractThe propensity of humans and non-human animals to discount future returns for short-term benefits is well established. This contrasts with the ability of organisms to unfold complex developmental sequences over months or years. Research has focused on various descriptive and predictive parameters of ‘temporal discounting’ in behavior, and researchers have proposed models to explain temporal preference in terms of rational outcomes, but the underlying cause of this phenomenon has not been deeply explored. We propose that preference for short-term reward (‘impulsivity’) may not be rational when examined from the perspective of an omniscient observer, but may be the product of the way natural selection acts on events in a temporal framework in the context of future uncertainty. Using a simple Newtonian model for time across a fitness landscape in which movement by organisms is only possible in one direction, we examine several factors that influence the ability of an organism to choose a distant reward over a more temporally proximate reward: including the temporal distance of the far reward, the relative value of the distant reward, and the effect of uncertainty about the value and presence of the distant reward. Our results indicate that an organism may choose a more distant reward, but only if it is not too far into the future, and only if it has a substantially higher-value fitness payoff relative to the short-term reward. Most notably, any uncertainty about the distant reward made it extremely unlikely for an organism to choose the delayed reward strategy compared to choosing a closer reward, even if the distant reward had a much higher payoff because events that are uncertain are only partially visible to natural selection pressures. We argue that these results explain why so many animals have difficulty making 'better' long-term rational strategies for a distant reward over the lower-value short-term reward. Uncertainty is likely to be an especially important ecological factor in promoting and biasing short-term behavioral strategies. These results help illustrate why human and non-human animals have difficulty making the more rational choice when faced with short-term and long-term rewards.
UAV Control in Autonomous Object-Goal Navigation: A Systematic Literature Review
Authors: Ayala Angel , Portela Leticia , Buarque Fernando , Fernandes Bruno , Cruz Francisco 
Published: January 2023

Abstract

Autonomous control for unmanned aerial vehicles (UAVs) has rapidly raised research interest in the last decade. Widely used in civilian, military, and private areas, UAVs have been implemented in surveillance, search and rescue, and delivery tasks, solving problems where a significant space must be covered and traveled. However, using UAVs for navigation problems with full autonomy in control, planning, localization, and mapping tasks remains an open challenge. This paper presents a systematic literature review on object-goal navigation using autonomous UAVs. Object-goal navigation inherits the same navigation challenges, such as control and navigation, in addition to estimating the target's location. The object-search problem requires to understand what object must be found and where it can be located.In this regard, survey taxonomies were found for the tasks and methods behind navigation and target localization problems using UAVs. This review reveals essential issues related to autonomous navigation task dependencies and gaps in UAV development and framework standardization. Open challenges for autonomous UAV control under object-goal navigation must address the research on finding methods for problems, such as autonomy level and comparison metrics, considering safety, ethics, and legal implications.
Targeting a check point receptor of human primary natural killer cells via CRISPR/Cas9 potentiates anti-tumor activity in allogeneic glioblastoma
Authors: Morimoto Takayuki , Nakazawa Tsutomu , Matsuda Ryosuke , Maeoka Ryosuke , Nishimura Fumihiko , Nakamura Mitsutoshi , Yamada Shuichi , Nakagawa Ichiro , Park Young-Soo , Tsujimura Takahiro , Nakase Hiroyuki 
Published: January 2023

Abstract
Background. Patients with glioblastoma (GBM) have poor outcomes and novel strategies are needed. Although immunotherapies have been investigated, altering the severe immunosuppressive tumor microenvironment, or so-called “cold tumors”, is difficult. We developed an immunotherapy based on genome-edited natural killer cells (NKCs) with knocking (KO) of checkpoint receptor T-cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif domain (TIGIT), which would overcome the GBM immunosuppressive tumor microenvironment.
Methods. The GBM TIGIT and TIGIT ligand expression patterns were analyzed with GlioVis and The Human Protein Atlas portal. We generated TIGIT KO human primary NKCs using clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9) with single guide RNA targeting different genome sites on TIGIT coding exons. The genome-edited NKCs underwent comprehensive microarray gene expression analysis. The anti-GBM activity of the genome-edited NKCs was detected with a 2D adherent model and 3D spheroids derived from allogeneic GBM cells.
Results. We successfully obtained TIGIT KO NKCs and effective TIGIT expression KO with unchanged immune checkpoint receptor expression. T7 endonuclease I mutation detection assays demonstrated that the ribonucleoproteins disrupted the intended genome sites. Gene expression analysis demonstrated extremely minimal gene expression pattern changes, such as that for the immune responses, in the TIGIT KO NKCs. Targeting TIGIT KO using CRISPR/Cas9 enhanced NKC anti-tumor activity against the 2D adherent cells and 3D GBM spheroids.
Conclusions. Here, we established TIGIT KO human primary NKCs, which demonstrated enhanced anti-tumor activity against GBM cell lines and spheroids. Immunotherapy based on CRISPR/Cas9-edited TIGIT KO NKCs could be a promising GBM therapy.