bluuebunny/crossref_metadata_2025_split huggingface dataset:
Complex dynamics, released energy, and multistability in a single-layered graphene sheet under periodic loads
Authors: Njitacke Zeric Tabekoueng , Awrejcewicz Jan , Tsafack Nestor , Kudra Grzegorz , Kengne Jacques 
Published: July 2023

Abstract
Graphene was found in 2004. It’s a carbon allotrope built around a single layer of atoms organized in a two-dimensional (2D) honeycomb lattice nanostructure. In the contribution, the complex behavior of a graphene sheet under periodic loads is investigated using the usual nonlinear analysis tools. From the dynamic states and the material’s symmetry investigations, it is found that the graphene model considered in this work can exhibit the simultaneous existence of up to six different patterns by varying initial conditions for fixed parameters. The Helmholtz theorem is also used to calculate the Hamilton energy of excited graphene. As a result, when the damping coefficient

ε

and the nonlocal parameter

μ

were close to zero, the system’s energy was null. This supports the fact that when graphene is in its resting state, vibrations are null inside the material. In contrast, when the damping coefficient

ε

and the nonlocal parameter

μ

were simultaneously increased, the energy of the graphene sheet increased until it reached a peak value, justifying the oscillations observed in the material. The dependency of the material on the initial condition is also used to support the coexistence of the energy found.
Image encryption algorithm based on 2D hyper-chaotic system and central dogma of molecular biology
Authors: Wang Quanyv , Zhang Xiaoqiang , Zhao Xiaohu 
Published: July 2023

Abstract
With the widespread use of images, image security has received much attention. Image security can be guaranteed by encrypting the plain image and transmitting the corresponding cipher image. This paper proposes an image encryption algorithm based on the novel two-dimensional (2D) hyper-chaotic system, bidirectional diagonal crossover transformations (BDCTs) and central dogma of molecular biology. Firstly, six chaotic sequences are generated using the proposed hyper-chaotic system, which are used in the permutation and diffusion processes. Secondly, the 5th–8th bit-planes of plain image are permuted using the designed BDCTs. Thirdly, the permuted image is dynamically encoded into a quaternary DNA sequence, and then the quaternary DNA sequence is transcribed into a quaternary RNA sequence. After that, the quaternary RNA sequence is diffused using quaternary RNA operations. Finally, the diffused RNA sequence is translated into a codon sequence, and then the designed codon-level multipoint crossover scheme is used to further improve the diffusion effect. Experiment results and security analyses demonstrate that our algorithm has high security and efficiency. In other words, our algorithm is quite suitable for real-time image cryptosystems.
Applications of soft biomaterials based on organic and hybrid thin films deposited from the vapor phase
Authors: Marcelja Sophie , Demelius Lisanne , Ali Taher Abu , Aghito Margherita , Muralter Fabian , Rodriguez Gabriel Hernandez , Kräuter Marianne , Unger Katrin , Wolfsberger Lukas , Coclite Anna Maria 
Published: July 2023

Abstract
Soft biomaterials are a crucial component in several application fields. They are used, for example, in biomedical implants, biosensors, drug delivery systems as well as in tissue engineering. In parallel to extensive ongoing efforts to synthesize new materials, the development of means to tailor the materials’ surface properties and thus their interaction with the environment is an important field of research. This has led to the emergence of several surface modification techniques that enable the exploitation of biomaterials in a broader range of technologies. In particular, the use of functional thin films can enable a plethora of biomedical applications by combining advantageous bulk properties of the substrate (e.g. flexibility, lightweight, structural strength) with tailored surface properties of the thin film (e.g. enhancing/prevention of cell proliferation, controlled drug release). For some biomedical applications, thin films can also be the main functional components, e.g. in biosensors. The present review focuses on recent developments in the applications of soft biomaterials based on thin films deposited from the vapor phase. In the field of soft biomaterials, the possibility of depositing from the vapor phase—without the need for any solvents—offers the unprecedented benefit that no toxic leachables are included in the biomaterial. Further, due to the complete lack of solvents and chemicals overall being used in small quantities only, depositing thin films from the vapor phase can be a more sustainable choice than other techniques that are commonly used.
Neurosymbolic artificial intelligence (NSAI) based algorithm for predicting the impact strength of additive manufactured polylactic acid (PLA) specimens
Authors: Mishra Akshansh , Jatti Vijaykumar S 
Published: July 2023

Abstract
In this study, we introduce application of Neurosymbolic Artificial Intelligence (NSAI) for predicting the impact strength of additive manufactured polylactic acid (PLA) components, representing the first-ever use of NSAI in the domain of additive manufacturing. The NSAI model amalgamates the advantages of neural networks and symbolic AI, offering a more robust and accurate prediction than traditional machine learning techniques. Experimental data was collected and synthetically augmented to 1000 data points, enhancing the model’s precision. The Neurosymbolic model was developed using a neural network architecture comprising input, two hidden layers, and an output layer, followed by a decision tree regressor representing the symbolic component. The model’s performance was benchmarked against a Simple Artificial Neural Network (ANN) model by assessing mean squared error (MSE) and R-squared (R2) values for both training and validation datasets. The results reveal that the Neurosymbolic model surpasses the Simple ANN model, attaining lower MSE and higher R2 values for both training and validation sets. This innovative application of the Neurosymbolic approach in estimating the impact strength of additive manufactured PLA components underscores its potential for optimizing the additive manufacturing process. Future research could investigate further refinements to the Neurosymbolic model, extend its application to other materials and additive manufacturing processes, and incorporate real-time monitoring and control for enhanced process optimization.
Demonstrating the most effective interventions to improve classroom air quality. What novel in situ tests of real-world conditions show is still missing in our guidance
Authors: Green Donna , Cooper Nathan , de Silva Charitha , Bahl Prateek , Bhattacharjee Shovon , Mahmoud Mohamed Mahmoud Abdelkareem , Doolan Con , Raina Macintyre C 
Published: July 2023

Abstract
Over 20 years ago a report commissioned by the European Commission identified air quality in schools as a public health priority. Despite this concern, little action was taken in the following two decades. Over the last two years as classrooms were increasingly recognised as hotspots for the transmission of SARS-CoV-2, renewed interest and resources have been made available in response to this issue. Questions remain, however, over how best to achieve safer classroom air. Our analysis assessed a range of in situ interventions to remove particulate matter (PM2.5) and carbon dioxide from inside a populated classroom. Our approach used saline spray and volunteers’ exhalations as our source of PM2.5 and carbon dioxide to explore the ability of high efficiency particulate air (HEPA) filters, natural ventilation and a recirculating A/C unit to remove these air pollutants which collectively provided a novel set of data. For a total window opening of 1.86 m2 for a 181.7 m3 classroom with a HEPA filter with a 703m3/hr clean air delivery rate, our results confirmed that outdoor air was needed to purge the room to reduce carbon dioxide levels that otherwise rose to >1000 ppm in 12 min. Cross and natural ventilation reduced levels of PM2.5 and carbon dioxide very effectively—in under 5 and 10 min respectively during low levels of outside PM2.5. We conclude that natural ventilation supplemented with the use of HEPA filters is the most effective way to reliably improve indoor air quality year-round, balancing the need to have easy to enact approaches to reduce the buildup of PM2.5, airborne viruses and carbon dioxide. These results highlight an important knowledge gap. Without having localised real-time outdoor air pollution sensing, evidence-based decisions cannot be made about how often, and for how long, windows can safely remain open to purge classrooms in times of poor quality outdoor air.
Where has the lymphoma gone? Pericardial effusion adenosine deaminase may play a key role in diagnosing primary effusion lymphoma-like lymphoma: a case report
Authors: Fujimoto Yuhna , Matsumoto Kensuke , Mizutani Yu , Kawasaki Satoru 
Published: July 2023

AbstractBackgroundPrimary effusion lymphoma (PEL) is a non-Hodgkin lymphoma that is exclusively generated by body cavity effusion. Primary effusion lymphoma develops in patients infected with human immunodeficiency virus (HIV) and is associated with the human herpes virus (HHV)-8 infection. However, there are sporadic cases without HHV-8 infections or any history of immunodeficiency, called ‘PEL-like lymphoma’.Case summaryAn 83-year-old man was admitted to our institution because of shortness of breath, fatigue, and facial oedema. Laboratory findings were unremarkable, including negative results for HIV antibodies. Transthoracic echocardiography revealed massive pericardial effusion surrounding the entire heart, which resulted in the early diastolic collapse of the right ventricular free wall, indicating elevated intra-pericardial pressure. He underwent pericardial centesis and 700 mL of pericardial fluid was drained. Adenosine deaminase (ADA) in the pericardial effusion showed an abnormally high value of 221 U/L. Cytological examination revealed a cellular population compatible with diffuse large B-cell lymphoma with prominent blastic characteristics and negative for HHV-8 latent nuclear antigens. Thus, the patient was diagnosed with HHV-8 unrelated HIV-negative PEL-like lymphoma. He was followed for more than 10 months in complete remission after a single pericardial drainage without any chemotherapy.DiscussionExhaustive drainage of the lymphomatous effusion may induce complete remission in some patients with PEL-like lymphoma. Furthermore, the ADA value in the pericardial effusion may serve as a valuable guide to facilitate the accurate diagnosis of PEL-like lymphoma.
Novel treatment of bronchopleural fistula in a lung transplant recipient with endobronchial sealant and endobronchial valve placement via robotic-assisted bronchoscopy
Authors: Wadiwala Ishaq J , Fernandez-Bussy Sebastian , Garg Pankaj , Ali Mostafa , Feinglass Neil G , Thomas Mathew , Pham Si M 
Published: July 2023

Abstract
Bronchopleural fistulas (BPFs) are a dreaded complication following pulmonary surgery. Endobronchial valves (EVs), with endobronchial sealant (ES), instilled with robotic bronchoscopy (RB), allow occlusion of BPF, avoiding surgery. The patient was a 71-year-old woman with a history of chronic obstructive pulmonary disease and bronchiectasis who underwent bilateral lung transplantation and wedge resection of the right middle lobe and left lingula. A BPF was discovered on postoperative day (POD) 21. Conservative measures with chest tubes failed, and robotic-assisted bronchoscopy aided in reaching the bronchial segment and instilling ES, and EV was deployed with the conventional bronchoscope. The pneumothorax was cleared 12 days later, and on POD 56, she was discharged. The RB procedure was successful, with no pneumothorax or BPF symptoms after a median follow-up of POD 284. Robotic endobronchial closure of BPF with EV and ES is an effective treatment option avoiding invasive surgeries.
Dysfunction of ubiquitin protein ligase MYCBP2 leads to cell resilience in human breast cancers
Authors: Neff Ryan A , Bosch-Gutierrez Almudena , Sun Yifei , Katsyv Igor , Song Won-min , Wang Minghui , Walsh Martin J , Zhang Bin 
Published: July 2023

Abstract
Breast cancer is the most common type of cancer among women worldwide, and it is estimated that 294 000 new diagnoses and 37 000 deaths will occur each year in the United States alone by 2030. Large-scale genomic studies have identified a number of genetic loci with alterations in breast cancer. However, identification of the genes that are critical for tumorgenicity still remains a challenge. Here, we perform a comprehensive functional multi-omics analysis of somatic mutations in breast cancer and identify previously unknown key regulators of breast cancer tumorgenicity. We identify dysregulation of MYCBP2, an E3 ubiquitin ligase and an upstream regulator of mTOR signaling, is accompanied with decreased disease-free survival. We validate MYCBP2 as a key target through depletion siRNA using in vitro apoptosis assays in MCF10A, MCF7 and T47D cells. We demonstrate that MYCBP2 loss is associated with resistance to apoptosis from cisplatin-induced DNA damage and cell cycle changes, and that CHEK1 inhibition can modulate MYCBP2 activity and caspase cleavage. Furthermore, we show that MYCBP2 knockdown is associated with transcriptomic responses in TSC2 and in apoptosis genes and interleukins. Therefore, we show that MYCBP2 is an important genetic target that represents a key node regulating multiple molecular pathways in breast cancer corresponding with apparent drug resistance in our study.
Mge-cluster: a reference-free approach for typing bacterial plasmids
Authors: Arredondo-Alonso Sergio , Gladstone Rebecca A , Pöntinen Anna K , Gama João A , Schürch Anita C , Lanza Val F , Johnsen Pål Jarle , Samuelsen Ørjan , Tonkin-Hill Gerry , Corander Jukka 
Published: July 2023

Abstract
Extrachromosomal elements of bacterial cells such as plasmids are notorious for their importance in evolution and adaptation to changing ecology. However, high-resolution population-wide analysis of plasmids has only become accessible recently with the advent of scalable long-read sequencing technology. Current typing methods for the classification of plasmids remain limited in their scope which motivated us to develop a computationally efficient approach to simultaneously recognize novel types and classify plasmids into previously identified groups. Here, we introduce mge-cluster that can easily handle thousands of input sequences which are compressed using a unitig representation in a de Bruijn graph. Our approach offers a faster runtime than existing algorithms, with moderate memory usage, and enables an intuitive visualization, classification and clustering scheme that users can explore interactively within a single framework. Mge-cluster platform for plasmid analysis can be easily distributed and replicated, enabling a consistent labelling of plasmids across past, present, and future sequence collections. We underscore the advantages of our approach by analysing a population-wide plasmid data set obtained from the opportunistic pathogen Escherichia coli, studying the prevalence of the colistin resistance gene mcr-1.1 within the plasmid population, and describing an instance of resistance plasmid transmission within a hospital environment.
Inferring regulators of cell identity in the human adult pancreas
Authors: Vanheer Lotte , Fantuzzi Federica , To San Kit , Schiavo Andrea , Van Haele Matthias , Ostyn Tessa , Haesen Tine , Yi Xiaoyan , Janiszewski Adrian , Chappell Joel , Rihoux Adrien , Sawatani Toshiaki , Roskams Tania , Pattou Francois , Kerr-Conte Julie , Cnop Miriam , Pasque Vincent 
Published: July 2023

Abstract
Cellular identity during development is under the control of transcription factors that form gene regulatory networks. However, the transcription factors and gene regulatory networks underlying cellular identity in the human adult pancreas remain largely unexplored. Here, we integrate multiple single-cell RNA-sequencing datasets of the human adult pancreas, totaling 7393 cells, and comprehensively reconstruct gene regulatory networks. We show that a network of 142 transcription factors forms distinct regulatory modules that characterize pancreatic cell types. We present evidence that our approach identifies regulators of cell identity and cell states in the human adult pancreas. We predict that HEYL, BHLHE41 and JUND are active in acinar, beta and alpha cells, respectively, and show that these proteins are present in the human adult pancreas as well as in human induced pluripotent stem cell (hiPSC)-derived islet cells. Using single-cell transcriptomics, we found that JUND represses beta cell genes in hiPSC-alpha cells. BHLHE41 depletion induced apoptosis in primary pancreatic islets. The comprehensive gene regulatory network atlas can be explored interactively online. We anticipate our analysis to be the starting point for a more sophisticated dissection of how transcription factors regulate cell identity and cell states in the human adult pancreas.
From the mud to the tree: phylogeny ofAustrolebiaskillifishes, new generic structure and description of a new species (Cyprinodontiformes: Rivulidae)
Authors: Alonso Felipe , Terán Guillermo Enrique , Serra Alanís Wilson Sebastián , Calviño Pablo , Montes Martin Miguel , García Ignacio Daniel , Barneche Jorge Adrián , Almirón Adriana , Ciotek Liliana , Giorgis Pablo , Casciotta Jorge 
Published: July 2023

AbstractKillifishes (Cyprinodontiformes) are a group of fish that include a high proportion of small-bodied species living in seasonal aquatic habitats, with narrow geographical distributions and high human impact. They are among the most vulnerable vertebrates in the Neotropical region, with nearly half of the species in threat categories. Herein, we propose a new phylogenetic hypothesis of the Rivulidae genus Austrolebias, based on 10 genes (six nuclear and four mitochondrial) and 191 morphological characters, including 90% of the total valid species of this genus. An updated definition and diagnosis of the existing subgenera of Austrolebias is provided, and these are erected to genera. Also, four new genera are erected to accommodate the taxonomy of the group to the current phylogenetic hypothesis. Additionally, we describe Argolebias guarani sp. nov., from a seasonal pond in the Middle Paraná River basin, which is diagnosed by a unique colour pattern. This addition reinforces this area as a biodiversity hotspot of endemicity and highlights the importance of this region for conservation. Data on the ontogenetic changes in colour pattern, chorion ornamentation of the egg and ecology of this species are also provided.
The Use of Quality Improvement in the Physical Therapy Literature: A Scoping Review
Authors: Crick James P. , Rethorn Timothy J. , Beauregard Tyler A. , Summers Riley , Rethorn Zachary D. , Quatman-Yates Catherine C. 
Published: July 2023

ABSTRACT

Introduction:
Quality improvement (QI) is a useful methodology for improving healthcare, often through iterative changes. There is no prior review on the application of QI in physical therapy (PT).

Purpose and Relevance:
To characterize and evaluate the quality of the QI literature in PT.

Methods:
We searched four electronic databases from inception through September 1, 2022. Included publications focused on QI and included the practice of PT. Quality was assessed using the 16-point QI Minimum Quality Criteria Set (QI-MQCS) appraisal tool.

Results:
Seventy studies were included in the review, 60 of which were published since 2014 with most (n = 47) from the United States. Acute care (n = 41) was the most prevalent practice setting. Twenty-two studies (31%) did not use QI models or approaches and only nine studies referenced Revised Standards for QI Reporting Excellence guidelines. The median QI-MQCS score was 12 (range 7–15).

Conclusions/Implications:
Quality improvement publications in the PT literature are increasing, yet there is a paucity of QI studies pertaining to most practice settings and a lack of rigor in project design and reporting. Many studies were of low-to-moderate quality and did not meet minimum reporting standards. We recommend use of models, frameworks, and reporting guidelines to improve methodologic rigor and reporting.
Anger Among UK Ex-Service Military Personnel During the COVID-19 Pandemic
Authors: Williamson Charlotte , Jones Margaret , Palmer Laura , Dighton Glen , Burdett Howard , Sharp Marie-Louise , Fear Nicola T. 
Published: July 2023

Abstract
Military service and ex-service personnel commonly experience difficulties with anger. The COVID-19 pandemic had several negative consequences upon social, economic, and health factors that influence anger. This study aimed to explore 1) levels of anger in an ex-serving military cohort during the COVID-19 pandemic; 2) self-reported changes in anger compared with prepandemic levels; and 3) identify sociodemographic characteristics, military characteristics, COVID-19 experiences, and COVID-19 stressors associated with anger. UK ex-service personnel (n = 1499) completed the Dimensions of Anger Reactions 5-item measure within an existing cohort study. Overall, 14.4% reported significant difficulties with anger, and 24.8% reported their anger worsened during the pandemic. Anger was associated with factors such as financial difficulties, extra/new caring responsibilities, and COVID-19 bereavement. Endorsing more COVID-19 stressors was associated with higher odds of anger difficulties. This study highlights the impact of the pandemic on ex-service personnel, including a strain on family/social relationships and financial hardship, which affected anger.
Autologous Serum Eye Drops for Dry Eye: Systematic Review
Authors: Quan Nicolas G. , Leslie Louis , Li Tianjing 
Published: July 2023

BACKGROUND
Dry eye is a common condition with serious implications worldwide. The unique composition of autologous serum (AS) eye drops has been hypothesized as a possible treatment.

OBJECTIVES
This study aimed to review the effectiveness and safety of AS.

DATA SOURCES
We searched five databases and three registries up to September 30, 2022.

STUDY ELIGIBILITY
We included randomized controlled trials (RCTs) comparing AS with artificial tears, saline, or placebo for participants with dry eye.

STUDY APPRAISAL AND SYNTHESIS METHODS
We adhered to Cochrane methods for study selection, data extraction, risk-of-bias assessment, and synthesis. We used the Grading of Recommendations Assessment, Development and Evaluation framework to evaluate the certainty of evidence.

RESULTS
We included six RCTs with 116 participants. Four trials compared AS with artificial tears. We found low-certainty evidence that AS may improve symptoms (0- to 100-point pain scale) after 2 weeks of treatment compared with saline (mean difference, −12.00; 95% confidence interval, −20.16 to −3.84; 1 RCT, 20 participants). Ocular surface outcomes (corneal staining, conjunctival staining, tear breakup time, Schirmer test) were inconclusive. Two trials compared AS with saline. Very low-certainty evidence suggested that Rose Bengal staining (0- to 9-point scale) may be slightly improved after 4 weeks of treatment compared with saline (mean difference, −0.60; 95% confidence interval, −1.11 to −0.09; 35 eyes). None of the trials reported outcomes of corneal topography, conjunctival biopsy, quality of life, economic outcomes, or adverse events.

LIMITATIONS
We were unable to use all data because of unclear reporting.

CONCLUSIONS
The effectiveness of AS is uncertain based on current data. Symptoms improved slightly with AS compared with artificial tears for 2 weeks. Staining scores improved slightly with AS compared with saline, with no benefit identified for other measures.

IMPLICATIONS OF KEY FINDINGS
High-quality, large trials enrolling diverse participants with varying severity are needed. A core outcome set would allow for evidence-based treatment decisions consistent with current knowledge and patient values.