bluuebunny/crossref_metadata_2025_split huggingface dataset:
A message verification scheme based on physical layer-enabled data hiding for flying ad hoc network
Authors: Mallikarachchi Dilshani , Wong KokSheik , Lim Joanne Mun-Yee 
Published: February 2024

AbstractThe use of Unmanned Aerial Vehicles (UAVs) for military as well as civilian applications such as search and rescue operations, disaster management, parcel delivery and agriculture, is becoming increasingly popular, mainly due to their versatile nature and relatively inexpensive operating costs. However, one of the most significant barriers in the widespread adoption of UAVs for the aforementioned applications is the increasing concern for wireless communication security within the network. Unfortunately, the nodes that comprise these networks are extremely constrained in terms of storage space, processing power and battery life, which require light-weight security protocols that align with these limitations. The current standards for message authentication and verification predominantly rely on lightweight cryptographic techniques. However, there is continual scope for improvement, particularly in the realm of computational efficiency, to better align with the constraints inherent to UAVs. This paper explores data hiding in a multi-UAV environment, to form a light-weight message verification scheme to confirm the identity of the transmitting node. First, five venues having the potential to hide data are analyzed. Based on the analysis of bit error rate obtained from the simulated multi-UAV environment, both cyclic prefix and padding bits are selected. Next, a codeword is generated for each transmission and it is embedded along with the unique ID key, $$\kappa $$
κ
of the transmitting node into each venue respectively, and the output is transmitted as Hello packets. Subsequently, the receiving node extracts and decodes the codeword in order to verify the authenticity of the transmitting node. An evaluation of the proposed scheme has been conducted by using a simulated UAV environment. In the best case scenario, the proposed authentication scheme can achieve a successful verification rate of at least 80% at a maximum hop-count of 10 hops. Through computational cost analysis, in comparison to the conventional methods, the proposed scheme was found to have a significantly lower total execution time of $$1.7\mu s$$

1.7
μ
s

. In addition, the security analysis shows that when the proposed scheme is paired with physical unclonable functions (PUFs), it is able to resist common security attacks, including man-in-the-middle, replay and cloning attacks.
About Latent Roles in Forecasting Players in Team Sports
Authors: Scofano Luca , Sampieri Alessio , Re Giuseppe , Almanza Matteo , Panconesi Alessandro , Galasso Fabio 
Published: February 2024

AbstractForecasting players in sports has grown in popularity due to the potential for a tactical advantage and the applicability of such research to multi-agent interaction systems. Team sports contain a significant social component that influences interactions between teammates and opponents. However, it still needs to be fully exploited. In this work, we hypothesize that each participant has a specific function in each action and that role-based interaction is critical for predicting players’ future moves. We create RolFor, a novel end-to-end model for Role-based Forecasting. RolFor uses a new module we developed called Ordering Neural Networks (OrderNN) to permute the order of the players such that each player is assigned to a latent role. The latent role is then modeled with a RoleGCN. Thanks to its graph representation, it provides a fully learnable adjacency matrix that captures the relationships between roles and is subsequently used to forecast the players’ future trajectories. Extensive experiments on a challenging NBA basketball dataset back up the importance of roles and justify our goal of modeling them using optimizable models. When an oracle provides roles, the proposed RolFor compares favorably to the current state-of-the-art (it ranks first in terms of ADE and second in terms of FDE errors). However, training the end-to-end RolFor incurs the issues of differentiability of permutation methods, which we experimentally review. Finally, this work restates differentiable ranking as a difficult open problem and its great potential in conjunction with graph-based interaction models.
Research on Event Target Recognition Based on DRUNet and Multi-scale Attention
Authors: Liu Zi-Long , Tan Bing 
Published: February 2024

AbstractAiming at the problem of noise and insufficient feature extraction in event camera-based target recognition task, we proposes an event target recognition method based on DRUNet and multi-scale attention. Firstly, DRUNet is added as a filter to reduce the event noise during the conversion of the event stream into event tensor; secondly, a multi-scale convolutional layer is used instead of a single convolutional layer to extract feature information at different scales, and a depth-separable convolution is utilized to replace part of the standard convolution in the network structure to reduce the number of network parameters without losing the performance of the network; thirdly, multi-scale features are performed on different channel fusion and connecting the channel attention module to enhance the network’s representation of effective features; then the classifier is redesigned to reduce feature loss and improve recognition accuracy by compressing the semantic information layer-by-layer and step-by-step; finally, the Adam optimizer based on the gradient centered algorithm is used for training to improve the network’s generalization ability and training speed. On the N-Caltech101 and N-Cars datasets, the recognition accuracy of the model is 87.2$$\%$$
%
and 96.3$$\%$$
%
, respectively, which is significantly higher than other algorithms.
State estimation-based parameter identification for a class of nonlinear fractional-order systems
Authors: Oliva-Gonzalez Lorenz Josue , Martínez-Guerra Rafael 
Published: February 2024

AbstractParametric identification is an important part of system theory since knowledge of the parameters allows the analysis and control of the system. The aim of this paper is to propose a novel robust (against measurement noise) parameter identification method for a class of nonlinear fractional-order systems. In order to solve the parametric identification we carry out this problem to a state estimation problem, we introduce a Fractional Algebraic Identifiability (FAI) property which allows to represent the system parameters as a function of the inputs and outputs of the system, this parameter identification method provides an on-line identification process (while the system is operating), we also propose a fractional-order differentiator which allows to reduce the effect of measurement noise as well as to provide the estimation of a fractional-order derivative of the system output. Moreover, we use the Mittag–Leffler boundedness to demonstrate the convergence of this method, a different approach for this stability analysis method is given in this paper. Finally, we illustrate the accuracy and robustness of our proposed method by means of the parametric identification of two nonlinear fractional-order systems: a time-varying nonlinear fractional-order system and a nonlinear fractional-order mathematical model of a simple pendulum.
Molecular cross-talk between long COVID-19 and Alzheimer’s disease
Authors: Pszczołowska Magdalena , Walczak Kamil , Misków Weronika , Antosz Katarzyna , Batko Joanna , Karska Julia , Leszek Jerzy 
Published: February 2024

AbstractThe long COVID (coronavirus disease), a multisystemic condition following severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection, is one of the widespread problems. Some of its symptoms affect the nervous system and resemble symptoms of Alzheimer’s disease (AD)—a neurodegenerative condition caused by the accumulation of amyloid beta and hyperphosphorylation of tau proteins. Multiple studies have found dependence between these two conditions. Patients with Alzheimer’s disease have a greater risk of SARS-CoV-2 infection due to increased levels of angiotensin-converting enzyme 2 (ACE2), and the infection itself promotes amyloid beta generation which enhances the risk of AD. Also, the molecular pathways are alike—misregulations in folate-mediated one-carbon metabolism, a deficit of Cq10, and disease-associated microglia. Medical imaging in both of these diseases shows a decrease in the volume of gray matter, global brain size reduction, and hypometabolism in the parahippocampal gyrus, thalamus, and cingulate cortex. In some studies, a similar approach to applied medication can be seen, including the use of amino adamantanes and phenolic compounds of rosemary. The significance of these connections and their possible application in medical practice still needs further study but there is a possibility that they will help to better understand long COVID.
The origins of human pluripotent stem cells: the road from a cancer to regenerative medicine
Authors: Andrews Peter W. 
Published: February 2024

AbstractThe notion of using pluripotent stem cells (PSCs) as a source of differentiated cell types for replacement of disease or damaged tissues in regenerative medicine is now an active area of research, with approaches to treating eye diseases such as age-related macular degeneration or Parkinson’s disease now on the horizon. But the foundations for this research lie in a quite different area of science, namely the role of genetics of cancer. In this review, we trace the evolution of ideas starting with the discovery that strain 129 mice are particularly subject to develop germ cell tumors, through the identification of embryonal carcinoma (EC) cells as the stem cells of the teratocarcinoma manifestation of these tumors, to the recognition of their relationship to pluripotent cells of the early embryo, and eventually their role in the derivation of embryonic stem cells, first from mouse embryos and then from primates including humans. This is a story that illustrates how science commonly develops through the interests and insights of individual investigators, often with unexpected and unintended outcomes.
Revitalizing educational institutions through customer focus
Authors: Mittal Vikas , Jung Jihye 
Published: February 2024

AbstractDespite the importance of education in terms of spending and its impact, dissatisfaction with traditional public schools is growing due to students’ underperformance. One reason, among many, is the lack of strategic focus among educational institutions. The authors theoretically and empirically demonstrate the benefits of a customer-focused approach to strategy planning and execution for improving student performance. A customer-focused strategy enables educational institutions to identify customer needs providing the most value to customers, align strategy execution to those needs, and ultimately improve customer loyalty and academic outcomes. We demonstrate the approach using data from qualitative interviews with school leaders and surveys from 10,644 K12 parents. We conclude that a customer-focused approach helps educational institutions satisfy their customers and achieve higher academic outcomes.
Mixed Subdivisions Suitable for the Greedy Canny–Emiris Formula
Authors: Checa Carles , Emiris Ioannis Z. 
Published: February 2024

AbstractThe Canny–Emiris formula (Canny and Emiris in International symposium on applied algebra, algebraic algorithms, and error-correcting codes, 1993) gives the sparse resultant as the ratio of the determinant of a Sylvester-type matrix over a minor of it, both obtained via a mixed subdivision algorithm. In Checa and Emiris (Proceedings of the 2022 international symposium on symbolic and algebraic computation, 2022), the same authors gave an explicit class of mixed subdivisions for the greedy approach so that the formula holds, and the dimension of the constructed matrices is smaller than that of the subdivision algorithm, following the approach of Canny and Pedersen (An algorithm for the Newton resultant, 1993). Our method improves upon the dimensions of the matrices when the Newton polytopes are zonotopes and the systems are multihomogeneous. In this text, we provide more such cases, and we conjecture which might be the liftings providing minimal size of the resultant matrices. We also describe two applications of this formula, namely in computer vision and in the implicitization of surfaces, while offering the corresponding JULIA code. We finally introduce a novel tropical approach that leads to an alternative proof of a result in Checa and Emiris (Proceedings of the 2022 international symposium on symbolic and algebraic computation, 2022).
Stem Cell Extracellular Vesicles as Anti-SARS-CoV-2 Immunomodulatory Therapeutics: A Systematic Review of Clinical and Preclinical Studies
Authors: Ahmed Sarah Hamdy , AlMoslemany Mohamed Atef , Witwer Kenneth Whitaker , Tehamy Ahmed Gamal , El-Badri Nagwa 
Published: February 2024

Abstract
Background
COVID-19 rapidly escalated into a worldwide pandemic with elevated infectivity even from asymptomatic patients. Complications can lead to severe pneumonia and acute respiratory distress syndrome (ARDS), which are the main contributors to death. Because of their regenerative and immunomodulatory capacities, stem cells and their derived extracellular vesicles (EVs) are perceived as promising therapies against severe pulmonary conditions, including those associated with COVID-19. Herein, we evaluate the safety and efficacy of stem cell EVs in treating COVID-19 and complicating pneumonia, acute lung injury, and ARDS. We also cover relevant preclinical studies to recapitulate the current progress in stem cell EV-based therapy.

Methods
Using PubMed, Cochrane Central Register of Controlled Trials, Scopus, and Web of Science, we searched for all English-language published studies (2000–2023) that used stem cell EVs as a therapy for COVID-19, ARDS, or pneumonia. The risk of bias (ROB) was assessed for all studies.

Results
Forty-eight studies met our inclusion criteria. Various-sized EVs derived from different types of stem cells were reported as a potentially safe and effective therapy to attenuate the cytokine storm induced by COVID-19. EVs alleviated inflammation and regenerated the alveolar epithelium by decreasing apoptosis, proinflammatory cytokines, neutrophil infiltration, and M2 macrophage polarization. They also prevented fibrin production and promoted the production of anti-inflammatory cytokines and endothelial cell junction proteins.

Conclusion
Similar to their parental cells, stem cell EVs mediate lung tissue regeneration by targeting multiple pathways and thus hold promise in promoting the recovery of COVID-19 patients and improving the survival rate of severely affected patients.

Graphical Abstract
Evaluation of TRIM63 RNA in situ hybridization (RNA-ISH) as a potential biomarker for alveolar soft-part sarcoma (ASPS)
Authors: Taylor Alexander S. , Mannan Rahul , Pantanowitz Liron , Chinnaiyan Arul M. , Dhanasekaran Saravana M. , Hrycaj Steven , Cao Xuhong , Chan May P. , Lucas David , Wang Xiao-Ming , Mehra Rohit 
Published: February 2024

AbstractAlveolar soft-part sarcoma (ASPS) is a rare soft tissue tumor with a broad morphologic differential diagnosis. While histology and immunohistochemistry can be suggestive, diagnosis often requires exclusion of other entities followed by confirmatory molecular analysis for its characteristic ASPSCR1-TFE3 fusion. Current stain-based biomarkers (such as immunohistochemistry for cathepsin K and TFE3) show relatively high sensitivity but may lack specificity, often showing staining in multiple other entities under diagnostic consideration. Given the discovery of RNA in situ hybridization (RNA-ISH) for TRIM63 as a sensitive and specific marker of MiTF-family aberration renal cell carcinomas, we sought to evaluate its utility in the workup of ASPS. TRIM63 RNA-ISH demonstrated high levels (H-score greater than 200) of expression in 19/20 (95%) cases of ASPS (average H-score 330) and was weak or negative in cases of paraganglioma, clear cell sarcoma, rhabdomyosarcoma, malignant epithelioid hemangioendothelioma, as well as hepatocellular and adrenal cortical carcinomas. Staining was also identified in tumors with known subsets characterized by TFE3 alterations such as perivascular epithelioid cell neoplasm (PEComa, average H-score 228), while tumors known to exhibit overexpression of TFE3 protein without cytogenetic alterations, such as melanoma and granular cell tumor, generally showed less TRIM63 ISH staining (average H-scores 147 and 96, respectively). Quantitative assessment of TRIM63 staining by RNA-ISH is potentially a helpful biomarker for tumors with molecular TFE3 alterations such as ASPS.
Empirical Examination of Factors that Influence Official Decisions in Criminal Cases Against Police Officers
Authors: Boateng Francis D. , Pryce Daniel K. , Dzordzormenyoh Michael K. , Hsieh Ming-Li , Cuff Alan 
Published: February 2024

AbstractIn the current paper, we examine departmental and court decision-making in criminal cases against police officers. The study has two objectives: 1) to examine variables that impact departmental decisions in criminal cases against police officers, and 2) to examine factors that affect case disposition/conviction decisions by the courts. To achieve these objectives, we analyzed nationally representative arrest data using multiple statistical approaches. The results obtained revealed important patterns that are critical to our understanding of how the courts and police departments decide matters relating to police criminality. For instance, victim characteristics significantly influenced decision-making by both the police agency and the court. Also, officer characteristics and crime types were important indicators of how offending officers were punished by both the courts and the agencies that employed them. Specifically, officers whose cases involved child victims and officers who were not familiar with their victims had greater odds of being convicted. The implications of our findings for policy and research in policing, especially research on police misconduct, are discussed.
Motor impulsivity and problematic online behaviours among university students: the potential mediating role of coping style
Authors: Sánchez-Fernández Magdalena , Borda-Mas Mercedes 
Published: February 2024

AbstractMotor impulsivity may be a predictor for generalized and specific problematic Internet uses in university students. The possible mediating role of coping style needs to be further researched. Among a sample of 726 Spanish university students, the present study examined the direct and indirect associations of motor impulsivity with generalized problematic internet use (GPIU), problematic social media use (PSMU), and problematic online gaming (POG), and the potential mediational role of coping styles. Results reported that motor impulsivity was directly associated with GPIU, PSMU, and POG, and indirectly associated with these problematic behaviours via the disengagement coping style. However, the engagement coping style did not play a mediating role. These findings suggest that disengagement coping style may, in part, explain the association between motor impulsivity and university students´ GPIU, PSMU, and POG, and provide empirical evidence for the theoretical hypothesis that different types of online problem behaviours share some aetiological mechanisms.
Equivariant Solutions to the Optimal Partition Problem for the Prescribed Q-Curvature Equation
Authors: Fernández Juan Carlos , Palmas Oscar , Torres Orozco Jonatán 
Published: February 2024

AbstractWe study the optimal partition problem for the prescribed constant Q-curvature equation induced by the higher-order conformal operators under the effect of cohomogeneity one actions on Einstein manifolds with positive scalar curvature. This allows us to give a precise description of the solution domains and their boundaries in terms of the orbits of the action. We also prove the existence of least energy symmetric solutions to a weakly coupled elliptic system of prescribed Q-curvature equations under weaker assumptions and conclude a multiplicity result of sign-changing solutions to the prescribed constant Q-curvature problem induced by the Paneitz-Branson operator. Moreover, we study the coercivity of GJMS operators on Ricci solitons, compute the Q-curvature of these manifolds, and give a multiplicity result for the sign-changing solutions to the Yamabe problem with a prescribed number of nodal domains on the Koiso–Cao Ricci soliton.
Keita (Aptandraceae-Olacaceae s.l.), a new genus for African species previously ascribed to Anacolosa, including K. deniseae sp. nov., an Endangered submontane forest liana from Simandou, Republic of Guinea
Authors: Cheek Martin , Molmou Denise , Gosline George , Magassouba Sékou 
Published: February 2024

SummaryWe show that the two continental African species previously ascribed to the genusAnacolosa, differ in so many architectural, floral and vegetative characters from the remaining species of the genus (which occur from Madagascar to the western Pacific, including the type) that they clearly represent a separate genus. The African genus represented by these two species is unique within the Olacaceae s.l. (excluding Erythropalaceae) in being a climber (vs shrubs or trees inAnacolosasensu stricto). Climbing in the two African species is achieved by perennial hook-like structures formed by a combination of five separate traits each of which is unknown elsewhere in the Olacaceae s.l. We formally delimit, describe and name this new African genus asKeita. Placement is tentatively in Aptandraceae but confirmation by molecular studies is required. We describe a new species from Guinea asKeita deniseaesp. nov.and transfer the Central African (Democratic Republic of Congo (DRC), Republic of Congo & Gabon) species fromAnacolosato the new genus asKeita unciferacomb. nov.Keita deniseaeis assessed using the IUCN (2012) criteria as Endangered due to the threat of clearance or degradation of forest habitat for mining and agriculture, whileK. unciferais assessed as Least Concern in view of its large range, number of locations and low levels of threat. We review the discovery ofKeita deniseaein the light of other recent discoveries of new taxa in both Simandou and the Republic of Guinea.
The Photocatalytic Performance of Ag /TiO2/Nylon 6/PMMA System
Authors: Polat Kinyas , Bursalı Elif Ant , Yurdakoç Mürüvvet , Yurdakoç Kadir 
Published: February 2024

AbstractHerein, Ag/TiO2/Nylon 6/PMMA catalyst system was developed, and its photocatalytic properties were fully analyzed. XRD, SEM, EDS, and PL analyses were carried out to get information on crystal structure, micromorphology, elemental composition, and band gap energy. Photocatalytic degradation was followed by UV–vis spectrophotometry. The band gap of the catalyst was found to be between 2.51 and 3.1 eV. Up to 80% degradation was achieved under UV light irradiation. No bulk adsorption was observed, which means that the reaction was completely carried by the photocatalytic process. pH 3 value was determined to be suitable for a high rate. Reaction kinetic was determined to be matched with the first-order rate law. The newly developed polymer blend matrix system here may have broad application prospects in the remediation of water resources.