bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ni/Al multilayer reactions on nanostructured silicon substrates
Authors: Jaekel Konrad , Sauni Camposano Yesenia Haydee , Matthes Sebastian , Glaser Marcus , Schaaf Peter , Bergmann Jean Pierre , Müller Jens , Bartsch Heike 
Published: August 2023

AbstractFast energy release, which is a fundamental property of reactive multilayer systems, can be used in a wide field of applications. For most applications, a self-propagating reaction and adhesion between the multilayers and substrate are necessary. In this work, a distinct approach for achieving self-propagating reactions and adhesion between deposited Ni/Al reactive multilayers and silicon substrate is demonstrated. The silicon surface consists of random structures, referred to as silicon grass, which were created by deep reactive ion etching. Using the etching process, structure units of heights between 8 and 13 µm and density between 0.5 and 3.5 structures per µm2 were formed. Ni and Al layers were alternatingly deposited in the stoichiometric ratio of 1:1 using sputtering, to achieve a total thickness of 5 µm. The analysis of the reaction and phase transformation was done with high-speed camera, high-speed pyrometer, and X-ray diffractometer. Cross-sectional analysis showed that the multilayers grew only on top of the silicon grass in the form of inversed cones, which enabled adhesion between the silicon grass and the reacted multilayers. A self-propagating reaction on silicon grass was achieved, due to the thermally isolating air pockets present around these multilayer cones. The velocity and temperature of the reaction varied according to the structure morphology. The reaction parameters decreased with increasing height and decreasing density of the structures. To analyze the exact influence of the morphology, further investigations are needed.
A Narrative Review of the Neurological Manifestations of Human Adenosine Deaminase 2 Deficiency
Authors: Dzhus Mariia , Ehlers Lisa , Wouters Marjon , Jansen Katrien , Schrijvers Rik , De Somer Lien , Vanderschueren Steven , Baggio Marco , Moens Leen , Verhaaren Benjamin , Lories Rik , Bucciol Giorgia , Meyts Isabelle 
Published: August 2023

AbstractDeficiency of human adenosine deaminase type 2 (DADA2) is a complex systemic autoinflammatory disorder characterized by vasculopathy, immune dysregulation, and hematologic abnormalities. The most notable neurological manifestations of DADA2 are strokes that can manifest with various neurological symptoms and are potentially fatal. However, neurological presentations can be diverse. We here present a review of the neurological manifestations of DADA2 to increase clinical awareness of DADA2 as the underlying diagnosis. We reviewed all published cases of DADA2 from 1 January 2014 until 19 July 2022 found via PubMed. A total of 129 articles describing the clinical features of DADA2 were included in the analysis. Six hundred twenty-eight patients diagnosed with DADA2 were included in the review. 50.3% of patients had at least signs of one reported neurological event, which was the initial or sole manifestation in 5.7% and 0.6%, respectively. 77.5% of patients with neurological manifestations had at least signs of one cerebrovascular accident, with lacunar strokes being the most common and 35.9% of them having multiple stroke episodes. There is a remarkable predilection for the brain stem and deep gray matter, with 37.3% and 41.6% of ischemic strokes, respectively. Other neurological involvement included neuropathies, focal neurological deficits, ophthalmological findings, convulsions, and headaches. In summary, neurological manifestations affect a significant proportion of patients with DADA2, and the phenotype is broad. Neurological manifestations can be the first and single manifestation of DADA2. Therefore, stroke, encephalitis, posterior reversible encephalopathy syndrome, mononeuropathy and polyneuropathy, and Behçet’s disease-like presentations should prompt the neurologist to exclude DADA2, especially but not only in childhood.
Collaborative PrEP Implementation Strategies for Latino Men Who have Sex with Men: A Health Center-Community Consensus Process
Authors: Ross Jonathan , Betancourt Gabriela S. , Andrade Elí A. , Klein Augustus , Marrero Lissette , Morales Gustavo A. , Rivera Sage , Watnick Dana L. , Patel Viraj V. 
Published: August 2023

AbstractCommunity-based organizations (CBOs) deliver services in culturally-responsive ways, and could effectively partner with health centers to deliver HIV pre-exposure prophylaxis (PrEP) to Latino men who have sex with men (LMSM). However, few such models exist. We conducted a planning study in collaboration with three CBOs serving LMSM to identify optimal PrEP delivery strategies for health centers and CBOs to implement jointly. We established a Community Expert Panel (CEP) of eight client-facing CBO and health center staff. Over 6 months, the panel met monthly to identify collaborative strategies for PrEP delivery, using a modified Delphi method consisting of the following steps: (1) brainstorming strategies; (2) rating strategies on acceptability, appropriateness and feasibility; (3) review of data from qualitative focus group discussions with CBO clients; and (4) final strategy selection. The panel initially identified 25 potential strategies spread across three categories: improving communication between health centers and CBOs; using low-barrier PrEP options (e.g. telemedicine), and developing locally-relevant, culturally-sensitive outreach materials. Focus groups with CBO clients highlighted a desire for flexible options for PrEP-related care and emphasized trust in CBOs. The final package of strategies consisted of: (1) a web-based referral tool; (2) telemedicine appointments; (3) geographically-convenient options for lab specimen collection; (4) tailored print and social media; and (5) regular coaching sessions with CBO staff. Through a community-engaged process, we identified a package of PrEP delivery strategies that CBOs and health centers can implement in partnership, which have the potential to overcome barriers to PrEP for LMSM.
A Meshfree Collocation Scheme for Surface Differential Operators on Point Clouds
Authors: Singh Abhinav , Foggia Alejandra , Incardona Pietro , Sbalzarini Ivo F. 
Published: August 2023

AbstractWe present a meshfree collocation scheme to discretize intrinsic surface differential operators over scalar fields on smooth curved surfaces with given normal vectors and a non-intersecting tubular neighborhood. The method is based on discretization-corrected particle strength exchange (DC-PSE), which generalizes finite difference methods to meshfree point clouds. The proposed Surface DC-PSE method is derived from an embedding theorem, but we analytically reduce the operator kernels along surface normals to obtain a purely intrinsic computational scheme over surface point clouds. We benchmark Surface DC-PSE by discretizing the Laplace–Beltrami operator on a circle and a sphere, and we present convergence results for both explicit and implicit solvers. We then showcase the algorithm on the problem of computing Gauss and mean curvature of an ellipsoid and of the Stanford Bunny by approximating the intrinsic divergence of the normal vector field. Finally, we compare Surface DC-PSE with surface finite elements (SFEM) and diffuse-interface finite elements (DI FEM) in a validation case.
Recycling Construction, Renovation, and Demolition Plastic Waste: Review of the Status Quo, Challenges and Opportunities
Authors: Santos Guadalupe , Esmizadeh Elnaz , Riahinezhad Marzieh 
Published: August 2023

AbstractEnd-of-life treatment of construction, renovation, and demolition (CRD) plastic waste generated from day-to-day applications of plastics in the construction industry can negatively impact the environment if not handled properly. Addressing this issue is crucial considering the current unprecedented increasing rate of the use of plastics in the construction industry all over the world. Globally, the current option for managing CRD plastic waste is mainly landfill due to inadequate guidelines and standards, avoidance of risk, and lack of knowledge and experience in recycling CRD plastic waste. This trend counteracts the efforts towards a circular economy and crude oil independency. Therefore, developing commercially feasible end-of-use recycling technologies is indispensable to guarantee a sustainable future for the plastics employed in the construction sector. Despite the high theoretical recyclability of the plastics, recycling CRD plastic waste is economically unattractive since the material is contaminated and difficult to sort and separate. In addition, the cost of recycling is hardly recovered because of the material’s low value.This paper reviews the status quo, technologies, challenges, barriers, opportunities and recent initiatives on recycling CRD plastic waste. The paper identifies the framework and technology modifications required to overcome the current obstacles to implementing commercial-scale recycling. It emphasizes the importance of establishing an effective collection network, imposing price signals by authorities to impress landfilling of CRD plastic waste, and developing policies and regulations to enforce manufacturers to take end-of-life responsibilities by up-designing the product considering facilitated recycling. The paper concludes with a focus on investigating recent global state-of-art measures taken to tackle barriers against CRD plastic waste recycling. This study will assist the plastic construction sector with manufacturing, recycling, policymaking, benchmarking purposes, and implementation considering environmental and economic benefits.
Mixing phase behavior of trilaurin and monounsaturated triacylglycerols based on palmitic and oleic fatty acids
Authors: Macridachis Jorge , Bayés-García Laura , Calvet Teresa 
Published: August 2023

AbstractDifferential scanning calorimetry and X-ray diffraction were used to examine the mixing phase behavior of LLL (trilaurin or 1,2,3-trilauroyl-glycerol) and POP (1,3-dipalmitoyl-2-oleoyl-glycerol), PPO (1,2-dipalmitoyl-3-oleoyl-rac-glycerol), or the 50POP/50PPO blend able to form a molecular compound. This research aims to provide an insight into the molecular interactions ruling the physical behavior of fat blends of lauric (i.e., coconut oil) and non-lauric lipids (cocoa butter, palm oil, etc.). The results showed eutectic behavior and no mutual solubility of triacylglycerols in stable LLL/POP and LLL/PPO mixtures. Applying high-rate cooling treatments had a positive effect on miscibility, but the high incompatibility of the components due to differences in length and degree of unsaturation of fatty acids was still evident in metastable polymorphs. In ternary LLL/(50POP/50PPO) mixtures, on the other hand, molecular compound β-2L crystals formed by POP and PPO showed to favor the solubility of LLL as compared to the binary systems. Accordingly, promoting the presence of triacylglycerols forming molecular compound in specific fat blends may help reducing eutectic or incompatible interactions among triacylglycerol molecules in the solid state. These lead to phase separation and are a major cause of the restricted applicability of lauric oils in the confectionery and chocolate industries.
Tensor completion with noisy side information
Authors: Bertsimas Dimitris , Pawlowski Colin 
Published: August 2023

AbstractWe develop a new model for tensor completion which incorporates noisy side information available on the rows and columns of a 3-dimensional tensor. This method learns a low rank representation of the data along with regression coefficients for the observed noisy features. Given this model, we propose an efficient alternating minimization algorithm to find high-quality solutions that scales to large data sets. Through extensive computational experiments, we demonstrate that this method leads to significant gains in out-of-sample accuracy filling in missing values in both simulated and real-world data. We consider the problem of imputing drug response in three large-scale anti-cancer drug screening data sets: the Genomics of Drug Sensitivity in Cancer (GDSC), the Cancer Cell Line Encyclopedia (CCLE), and the Genentech Cell Line Screening Initiative (GCSI). On imputation tasks with 20% to 80% missing data, we show that the proposed method matches or outperforms state-of-the-art methods including the original tensor model and a multilevel mixed effects model. With 80% missing data, improves the $$R^2$$

R
2

from 0.404 to 0.552 in the GDSC data set, 0.407 to 0.524 in the CCLE data set, and 0.331 to 0.453 in the GCSI data set compared to the tensor model which does not take into account genomic side information.
Learning logic programs by explaining their failures
Authors: Morel Rolf , Cropper Andrew 
Published: August 2023

AbstractScientists form hypotheses and experimentally test them. If a hypothesis fails (is refuted), scientists try toexplainthe failure to eliminate other hypotheses. The more precise the failure analysis the more hypotheses can be eliminated. Thus inspired, we introduce failure explanation techniques for inductive logic programming. Given a hypothesis represented as a logic program, we test it on examples. If a hypothesis fails, we explain the failure in terms of failing sub-programs. In case a positive example fails, we identify failing sub-programs at the granularity of literals. We introduce a failure explanation algorithm based on analysing branches of SLD-trees. We integrate a meta-interpreter based implementation of this algorithm with the test-stage of thePopperILP system. We show that fine-grained failure analysis allows for learning fine-grained constraints on the hypothesis space. Our experimental results show that explaining failures can drastically reduce hypothesis space exploration and learning times.
Chain-dependent Conditions in Extremal Set Theory
Authors: Nagy Dániel T. , Nagy Kartal 
Published: August 2023

AbstractIn extremal set theory our usual goal is to find the maximal size of a family of subsets of an n-element set satisfying a condition. A condition is called chain-dependent, if it is satisfied for a family if and only if it is satisfied for its intersections with the n! full chains. We introduce a method to handle problems with such conditions, then show how it can be used to prove three classic theorems. Then, a theorem about families containing no two sets such that $$A\subset B$$

A
⊂
B

and $$\lambda \cdot |A| \le |B|$$

λ
·
|
A
|
≤
|
B
|

is proved. Finally, we investigate problems where instead of the size of the family, the number of $$\ell $$
ℓ
-chains is maximized. Our method is to define a weight function on the sets (or $$\ell $$
ℓ
-chains) and use it in a double counting argument involving full chains.
Pragmatic encroachment and justified group belief
Authors: Biebel Nathan 
Published: August 2023

AbstractThe theory of pragmatic encroachment states that the risks associated with being wrong, or the practical stakes, can make a difference to whether one’s evidence is good enough to justify belief. While still far from the orthodox view, it has garnered enough popularity that it is worth exploring the implications when we apply the theory of pragmatic encroachment to group epistemology, specifically to the justificatory status of the beliefs of group agents. When we do, I claim, we discover two novel cases of divergence; cases where a group epistemic agent is justified in believing but none of the members are, and vice versa. Using Jennifer Lackey’s influential Group Epistemic Agent Account as a foil, in particular Lackey’s arguments against previous proposed cases of divergence, the present paper defends the following argument, which I call Pragmatic Encroachment Divergence (PED): (i) Practical stakes make a difference to what an agent (group or individual) is justified in believing. (ii) The practical stakes of a group agent can come apart from the practical stakes of the (operative) members. (iii) Therefore, it is possible for the justified beliefs of a group to diverge from the justified beliefs of its members.
Optimal anti-platelet therapy for older patients with acute coronary syndrome: a network meta-analysis of randomized trials comprising 59,284 older patients
Authors: Zhou Shuang , Li Wenhui , Xiang Qian , Wang Zhe , Zhang Hanxu , Mu Guangyan , Liu Zhiyan , Cui Yimin 
Published: August 2023

AbstractThe aim of this study was to identify the optimal anti-platelet therapy in older acute coronary syndrome (ACS) patients with a mean age ≥ 60 years by comparing the efficacy and safety of different anti-platelet therapies. The selection of antiplatelet therapy in older patients with ACS is a clinical challenge. Numerous evidences indicate that the de-escalation of dual anti-platelet therapy (DAPT) or P2Y12 inhibitor monotherapy may reduce bleeding risk without increasing thrombotic events. However, there is a lack of systematic reviews and optimal strategy analysis regarding older ACS patients. Randomized controlled trials (RCTs) of anti-platelet therapy in older ACS patients were identified. Major adverse cardiovascular events (MACE) were the primary outcome. Secondary outcomes included all death, cardiovascular death, myocardial infarction, stroke, stent thrombosis, and trial-defined major bleeding. Frequentist and Bayesian network meta-analyses were conducted. Treatments were ranked on posterior probability. Summary odds ratios (ORs) were estimated using Bayesian network meta-analysis. A total of 12 RCTs including 59,284 older ACS patients treated with five anti-platelet strategies were included. Ticagrelor monotherapy after 3 months DAPT was comparable to the other strategies (OR 0.73; 95% CI 0.32–1.6) in terms of MACE risk. Additionally, P score analysis and SUCRA Bayesian analysis showed that it was the most beneficial treatment for all deaths, cardiovascular death and revascularization. For safety, although there was no significant difference in direct comparisons, both SUCRA Bayesian (0.806) and P score (0.519) analysis suggested that ticagrelor monotherapy was the safest strategy. The current evidence demonstrated that ticagrelor monotherapy after 3 months DAPT may be a promising approach for achieving a more favorable balance between risk and benefit for older ACS patients, with a relatively low bleeding risk and without an increased risk of MACE events. Moreover, it remains the preferred option for clinical outcomes such as all death, CV death and revascularization. Further high-quality and long-term studies are required to validate anti-platelet therapies among older ACS patients.
Phonendo: a platform for publishing wearable data on distributed ledger technologies
Authors: Moya Francisco , Quesada Francisco J. , Martínez Luis , Estrella Fco Javier 
Published: August 2023

AbstractNowadays, Internet of Things (IoT) devices, especially wearable devices, are commonly integrated into modern intelligent healthcare software. These devices enable medical practitioners to monitor pervasively patients’ parameters outside the clinical environment. However, the ease of manipulating wearable devices and their data streams raises concerns regarding patient privacy and data trust. Distributed ledger technologies (DLT) offer solutions to enhance resistance against information manipulation and eliminate single points of failure. By leaveraging DLT, wearable-based solutions can be developed with a wider range of capabilities. This paper carries out an analysis of shortcomings, limitations, potential applications and needs in the medical domain, to introduce Phonendo 1.0, a DLT–IoT-based platform designed to capture data streams from wearable devices and publishing them on a distributed ledger technology infrastructure. The architecture and its difference services are justified based on the identified needs and challenges in the medical domain.
Energy consumption reduction in OFDMA wireless sensor networks in existence of interference hazards
Authors: Elgazzar Osama H. , Mahmoud Imbaby I. 
Published: August 2023

AbstractEnergy consumption reduces Wireless Sensor Network’s (WSN’s) lifetime. Hence, this paper addresses energy saving problematic in cooperative Orthogonal Frequency Division Multiplexing Access (OFDMA) systems for WSNs (COFDMA-WSN). Analytical handlings are implemented. The performance improvement of COFDMA-WSNs is executed by considering two different COFDMA-WSNs schemes. These schemes represent classical COFDMA-WSNs and Relay Supported (R-S) COFDMA-WSNs. Additionally, there are different pondered configurations due to these schemes. These configurations denote classical OFDMA network with classical WSN, R-S OFDMA network with classical WSN, classical OFDMA network with R-S WSN, and R-S OFDMA network with R-S WSN. Moreover, each configuration is applied with four different fractional frequency reuse (FrFR) techniques. These techniques represent strict (St) FrFR technique with Frequency Reuse Factor (FReF) = 3, St FrFR technique with FReF = 4, sectored (Sc) FrFR technique and soft frequency reuse (SoFR) technique. Consequently, there are sixteen different patterns of COFDMA-WSNs are considered. Moreover, closed-form terms (CFTs) for cluster-head’s (C-H’s) signal to interference ratio (SIR) and sensor node’s (SN’s) SIR are presented. Additionally, different metrics are evaluated to contrast the performance of altered patterns using the obtained CFTs. The outcomes demonstrate, that St FrRF4 system outperforms other systems in prime and ensuing links. The cause of this outcome can be credited, to the frequency reuse process decrement due to FReF increment. As a result, the interference sources decrease. Hence, the interfering signals drop. Consequently, St FrRF4 system achieves the highest values of SIR. Moreover, St FrRF3 technique has the second usage priority in the prime link. But, it losses this preference in the ensuing link and SoFR technique that applied in the fourth configuration takes this significance. The work outcomes attain much higher C-H's and SN’s SIR improvements. Accordingly, the packet transmission and protocol behaviour are enhanced. So, the energy consumption is reduced. Consequently, WSN’s lifetime is maximized.