bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recent Progress on Functionalized Nanoporous Heteropoly Acids: From Synthesis to Applications
Authors: Ilbeygi Hamid , Jaafar Juhana 
Published: June 2024

AbstractFunctionalized nanoporous heteropoly acids (HPAs) have garnered significant attention in recent years due to their enhanced surface area and porosity, as well as their potential for low‐cost regeneration compared to bulk materials. This review aims to provide an overview of the recent advancements in the synthesis and applications of functionalized HPAs. We begin by introducing the fundamental properties of HPAs and their unique structure, followed by a comprehensive overview of the various approaches employed for the synthesis of functionalized HPAs, including salts, anchoring onto supports, and implementing mesoporous silica sieves. The potential applications of functionalized HPAs in various fields are also discussed, highlighting their boosted performance in a wide range of applications. Finally, we address the current challenges and present future prospects in the development of functionalized HPAs, particularly in the context of mesoporous HPAs. This review aims to provide a comprehensive summary of the recent progress in the field, highlighting the significant advancements made in the synthesis and applications of functionalized HPAs.
Directed-evolution mutations enhance DNA-binding affinity and protein stability of the adenine base editor ABE8e
Authors: Zhu Haixia , Wang Lei , Wang Ying , Jiang Xinyi , Qin Qin , Song Menghua , Huang Qiang 
Published: June 2024

AbstractAdenine base editors (ABEs), consisting of CRISPR Cas nickase and deaminase, can chemically convert the A:T base pair to G:C. ABE8e, an evolved variant of the base editor ABE7.10, contains eight directed evolution mutations in its deaminase TadA8e that significantly increase its base editing activity. However, the functional implications of these mutations remain unclear. Here, we combined molecular dynamics (MD) simulations and experimental measurements to investigate the role of the directed-evolution mutations in the base editing catalysis. MD simulations showed that the DNA-binding affinity of TadA8e is higher than that of the original deaminase TadA7.10 in ABE7.10 and is mainly driven by electrostatic interactions. The directed-evolution mutations increase the positive charge density in the DNA-binding region, thereby enhancing the electrostatic attraction of TadA8e to DNA. We identified R111, N119 and N167 as the key mutations for the enhanced DNA binding and confirmed them by microscale thermophoresis (MST) and in vivo reversion mutation experiments. Unexpectedly, we also found that the directed mutations improved the thermal stability of TadA8e by ~ 12 °C (Tm, melting temperature) and that of ABE8e by ~ 9 °C, respectively. Our results demonstrate that the directed-evolution mutations improve the substrate-binding ability and protein stability of ABE8e, thus providing a rational basis for further editing optimisation of the system.
On the Existence and Uniqueness of Stationary Distributions for Some Piecewise Deterministic Markov Processes with State-Dependent Jump Intensity
Authors: Czapla Dawid 
Published: June 2024

AbstractIn this paper, we consider a subclass of piecewise deterministic Markov processes with a Polish state space that involve a deterministic motion punctuated by random jumps, occurring in a Poisson-like fashion with some state-dependent rate, between which the trajectory is driven by one of the given semiflows. We prove that there is a one-to-one correspondence between stationary distributions of such processes and those of the Markov chains given by their post-jump locations. Using this result, we further establish a criterion guaranteeing the existence and uniqueness of the stationary distribution in a particular case, where the post-jump locations result from the action of a random iterated function system with an arbitrary set of transformations.
Intensity-dependent absorption signature for in situ process characterization in laser processing of 316L
Authors: Wittemer Moritz , Wudy Katrin 
Published: June 2024

AbstractRecent research has introduced custom beam shapes as a novel tool to stabilize laser-based powder bed fusion of metals (PBF-LB/M) and laser welding. To facilitate beam shaping in the future, new processes must be developed. However, the process development in PBF-LB/M and laser welding is time-consuming due to its empirical and iterative approach. In the center of this procedure stands the ex situ analysis of test specimens. The process development could be significantly accelerated by replacing the physical ex situ analysis with digital in situ data analysis. Therefore, this work investigates the possibility of an in situ data-based process characterization under process-near conditions for laser welding and PBF-LB/M. For this, the changes in the degree of absorption over a stepwise increase in laser power are studied for various combinations of laser spot size and beam profiles. The measurements are taken using an integrating sphere within a custom-designed testing setup. Additionally, a high-speed camera was deployed. An intensity-dependent absorption signature was found that describes the changes in the degree of absorption over an increase in mean radiation intensity independent from the beam shapes. This absorption signature contains information about the corresponding process behavior and its characteristic trend. These results are the next steps toward in situ absorption-based process characterization for accelerating process development in PBF-LB/M and laser welding.
Left and right: a tale of two tails of the wealth distribution
Authors: D’Amato Marcello , Di Pietro Christian , Sorge Marco M. 
Published: June 2024

AbstractWe study a model of wealth accumulation in altruistic lineages, in which households face uninsurable risk, investment indivisibilities and borrowing constraints. A thick upper tail of the stationary distribution of wealth is shown to emerge as a robust prediction, irrespective of (1) the presence of multidimensional (wealth and ability) heterogeneity and non-convexities in human capital formation, and (2) the nature of parental bequest motives (joy-of-giving vs. paternalism). Additionally, (3) we identify conditions under which the unique, ergodic wealth distribution exhibits a mass point at the bottom of its support, where credit market imperfections continue to affect, along the convergence process, the structure of wealth transitions at the lineage level. Motivated by these results, we then analyze the sensitivity of the left tail to various frictions and fiscal instruments that affect bequest strategies and the ensuing transmission of wealth across generations. In particular, capital income or bequest taxes with no redistribution may reinforce economic mechanisms underpinning mobility traps in the left tail, thereby increasing the persistence of households in the lowest tiers of the wealth distribution.
In vitro structure–activity relationships and forensic case series of emerging 2-benzylbenzimidazole ‘nitazene’ opioids
Authors: De Vrieze Liam M. , Walton Sara E. , Pottie Eline , Papsun Donna , Logan Barry K. , Krotulski Alex J. , Stove Christophe P. , Vandeputte Marthe M. 
Published: June 2024

Abstract2-Benzylbenzimidazole ‘nitazene’ opioids are presenting a growing threat to public health. Although various nitazenes were previously studied, systematic comparisons of the effects of different structural modifications to the 2-benzylbenzimidazole core structure on μ-opioid receptor (MOR) activity are limited. Here, we assessed in vitro structure–activity relationships of 9 previously uncharacterized nitazenes alongside known structural analogues. Specifically, we focused on MOR activation by ‘ring’ substituted analogues (i.e., N-pyrrolidino and N-piperidinyl modifications), ‘desnitazene’ analogues (lacking the 5-nitro group), and N-desethyl analogues. The results from two in vitro MOR activation assays (β-arrestin 2 recruitment and inhibition of cAMP accumulation) showed that ‘ring’ modifications overall yield highly active drugs. With the exception of 4′-OH analogues (which are metabolites), N-pyrrolidino substitutions were generally more favorable for MOR activation than N-piperidine substitutions. Furthermore, removal of the 5-nitro group on the benzimidazole ring consistently caused a pronounced decrease in potency. The N-desethyl modifications showed important MOR activity, and generally resulted in a slightly lowered potency than comparator nitazenes. Intriguingly, N-desethyl isotonitazene was the exception and was consistently more potent than isotonitazene. Complementing the in vitro findings and demonstrating the high harm potential associated with many of these compounds, we describe 85 forensic cases from North America and the United Kingdom involving etodesnitazene, N-desethyl etonitazene, N-desethyl isotonitazene, N-pyrrolidino metonitazene, and N-pyrrolidino protonitazene. The low-to-sub ng/mL blood concentrations observed in most cases underscore the drugs’ high potencies. Taken together, by bridging pharmacology and case data, this study may aid to increase awareness and guide legislative and public health efforts.
Methanol as a co-substrate with CO2 enhances butyrate production in microbial electrosynthesis
Authors: Yao Hui , Rinta-Kanto Johanna M. , Vassilev Igor , Kokko Marika 
Published: June 2024

Abstract
Methanol is a promising feedstock for the bio-based economy as it can be derived from organic waste streams or produced electrochemically from CO2. Acetate production from CO2 in microbial electrosynthesis (MES) has been widely studied, while more valuable compounds such as butyrate are currently attracting attention. In this study, methanol was used as a co-substrate with CO2 to enhance butyrate production in MES. Feeding with CO2 and methanol resulted in the highest butyrate production rates and titres of 0.36 ± 0.01 g L−1 d−1 and 8.6 ± 0.2 g L−1, respectively, outperforming reactors with only CO2 feeding (0.20 ± 0.03 g L−1 d−1 and 5.2 ± 0.1 g L−1, respectively). Methanol acted as electron donor and as carbon source, both of which contributed ca. 50% of the carbon in the products. Eubacterium was the dominant genus with 52.6 ± 2.5% relative abundance. Thus, we demonstrate attractive route for the use of the C1 substrates, CO2 and methanol, to produce mainly butyrate.

Key points
• Butyrate was the main product from methanol and CO2in MES
• Methanol acted as both carbon and electron source in MES
• Eubacterium dominating microbial culture was enriched in MES

Graphical Abstract
Nano-superhydrophilic and bioactive surface in poor bone environment. Part 1: transition from primary to secondary stability. A controlled clinical trial
Authors: Canullo Luigi , Menini Maria , Pesce Paolo , Iacono Roberta , Sculean Anton , Del Fabbro Massimo 
Published: June 2024

Abstract
Objectives
Bioactive surfaces were designed to increase the interaction between the surface and the cells. This may speed up the biological stability and loading protocols.

Materials and methods
36 patients with D3-D4 bone density were recruited and allocated into two groups. 30 bioactive (test group) and 30 traditional (control group) surfaced implants were placed. Insertion torque value (Ncm), insertion torque curve integral (cumulative torque, Ncm), torque density (Ncm/sec), implant stability quotient (ISQ) measured at three timepoints (baseline (T0), 30 (T30) and 45 (T45) days after surgery), and marginal bone loss (MBL) at 6 months of loading were assessed.

Results
The mean ISQ and standard deviation at T0, T30, T45 were respectively 74.57 ± 7.85, 74.78 ± 7.31, 74.97 ± 6.34 in test group, and 77.12 ± 5.83, 73.33 ± 6.13, 73.44 ± 7.89 in control group, respectively. Data analysis showed significant differences between groups in ΔISQ at T0-T30 (p = 0.005) and T30-T45 (p = 0.012). Control group showed a significant decrease in ISQ at T30 (p = 0.01) and T45 (p = 0.03) compared to baseline, while no significant change was observed in test group. Due to the stability of the ISQ value ≥ 70, 26 test group and 23 control group implants were functionally loaded after 45 days. Conversely, due to the ISQ < 70 at T45, four test group implants and one control group implant were loaded after 90 days, and 6 control group implants were loaded after 180 days. Neither insertion torque nor ISQ at baseline were correlated with bone density (in Hounsfield units). There was no significant correlation between cumulative torque and ISQ at baseline. There was a significant positive slope in the correlation between torque density and ISQ at baseline, more accentuated in D3 than D4. This correlation remained significant for the test group in D3 bone at day 30 and 45 (p < 0.01 in both time frames), but not in D4 bone, and it was not significant in CG.

Conclusions
The bioactive surface showed better behavior in terms of implant stability in D3-D4 bone quality in the early stages of bone healing. Clinical relevance This study demonstrated that the transition from primary to secondary stability is improved using bioactive surface, especially in cases of poor bone environment (D3/D4 bone).
Epicardial adipose tissue defined by initial polytrauma CT of mechanically ventilated trauma patients: retrospective single-center cohort study to predict short-term outcomes
Authors: Meyer Hans-Jonas , Dermendzhiev Tihomir , Kirsten Holger , Hetz Michael , Kleber Christian , Denecke Timm , Metze Michael , Werdehausen Robert , Hempel Gunther , Struck Manuel F. 
Published: June 2024

Abstract
Purpose
Epicardial adipose tissue (EAT) detected by computed tomography (CT) is associated with morbidity and mortality in patients with COVID-19 and other critical care patient cohorts, whereas their prognostic relevance in trauma patients remains unclear. The present study explored associations with four potential short-term outcomes in trauma patients.

Methods
All consecutive trauma patients requiring emergency tracheal intubation and mechanical ventilation before initial whole-body CT imaging at a level-1 trauma center over a 12-year period (2008–2019) were reanalyzed for this study. EAT was measured semiquantitatively in initial CT and analyzed regarding associations with 24-hour and 30-day mortality using Cox proportional hazard models. In survivors, associations of EAT with intensive care unit length of stay (ICU LOS) and mechanical ventilation duration were analyzed using linear regression analyses.

Results
Four hundred fifty-five patients (74.7% male) with a median age of 49 years, and a median injury severity score (ISS) of 26 points were analyzed. In univariable analysis, EAT index was significantly associated with 24-hour and 30-day mortality (p = 0.007, and p = 0.013, respectively). After adjustment for significant predictors age, body mass index, and ISS, no significant associations were confirmed (p = 0.622, and p = 0.903, respectively). In a subanalysis of 353 survivors, EAT index was significantly associated with ICU LOS and mechanical ventilation duration in univariable analyses (p = 0.031, and p = 0.014, respectively), but not in multivariable analyses (p = 0.81 and p = 0.46, respectively).

Conclusion
EAT index was associated with short-term outcomes in severely injured trauma patients, which not remained significant in multivariable analysis, suggesting that its prognostic capability is limited.
Scenario analysis tool for estimating future waste composition and amounts toward a circular economy
Authors: Birgen Cansu , Grytli Tuva , Becidan Michaël 
Published: June 2024

AbstractMunicipal solid waste management has a potential to increase circularity by reduction of virgin material extraction and use of secondary materials. A scenario analysis tool was developed to assess whether circular economy goals are attainable with the existing infrastructure and technologies by calculating sorting and recycling rates using waste amount and composition estimations. Three scenarios, Current Road (business as usual), Circular Road (improved sorting) and Frugal Road (waste reduction), were developed and implemented. Sorting rates targets for food waste are achieved in all scenarios. For plastic, sorting rate targets are achieved only for Circular and Frugal, while European Union recycling targets are not reached in any, showing the important role of recycling efficiency. Policy makers can use the scenario development approach of this study to evaluate if circular economy goals are attainable with the current system and assess the impact of key factors such as waste generation and sorting behavior. The scenario analysis tool can be utilized to simulate the effects of different measures in the waste amounts and composition, which is crucial for the planning of the future management system. Further, sorting and recycling rates provide quantitative information about the circularity gap and qualitative information on bottlenecks and opportunities.
Habitat selection and movement patterns of the Raccoon dog (Nyctereutes procyonoides) in Denmark using GPS telemetry data
Authors: Wooldridge Brittany , Svenning Jens-Christian , Pagh Sussie 
Published: June 2024

AbstractThe Asiatic raccoon dog (Nyctereutes procyonoides) has successfully colonized Northern, Eastern, and Central Europe, following 20th century introductions. While subject to eradication campaigns, its ecological impacts remain incompletely understood and debated. This study aims to examine the habitat preference and movement patterns of raccoon dogs in Denmark using GPS telemetry data. Habitat selection patterns were examined seasonally using Jacob’s electivity index. Movement intensity (travel speed) was examined according to temporal and environmental predictors such as time of day, time of year and habitat type. Raccoon dogs showed an overall preference for peatbogs, marshes, and broadleaf tree cover, and an overall avoidance of water bodies (per se), artificial surfaces and constructions, natural material surfaces (e.g., river pebble banks, beaches, sand dunes), cultivated areas, coniferous tree cover and herbaceous vegetation, and a close to neutral selection pattern for moors and heathland. Habitat usage was generally consistent throughout the seasons for all habitat types, apart from minor shifts observed, particularly from November to February. The raccoon dog exhibited a unimodal nocturnal activity pattern throughout all seasons, with highest mean travel speeds occurring during spring and lowest during winter. Prolonged periods of higher mean daily speeds were observed during autumn. Mean speed levels also varied according to habitat type, with raccoon dogs moving slower in habitats they preferred and faster in those they did not prefer. These results indicate that raccoon dogs in Denmark adjust their habitat selection and movement patterns throughout the year, with a general preference for moist and high tree coverage areas. This information can be utilized in forecasting models for their potential future range and area use in different regions.
“Your Thoughts are (were) Free!“: Brain-Computer-Interfaces, Neurofeedback, Detection of Deception, and the Future of Mind-Reading
Authors: Birbaumer Niels 
Published: June 2024

AbstractThis review describes the historical developement and rationale of clinically relevant research on neurophysiological „mind reading“ paradims: Brain- Computer-Interfaces, detection of deception, brain stimulation and neurofeedback and the clinical applications in drug resistant epilepsy, chronic stroke, and communication with paralyzed locked-in persons. The emphasis lies on completely locked-in patients with amyotrophic lateral sclerosis using non-invasive and invasive brain computer interfaces and neurofeedback to restore verbal communication with the social environment. In the second part of the article we argue that success and failure of neurophysiological „mind reading“ paradigms may be explained with a motor theory of thinking and emotion in combination with learning theory. The ethical implications of brain computer interface and neurofeedback approaches, particularly for severe chronic paralysis and loss of communication diseases and decisions on hastened death and euthanasia are discussed.
A Multi-solution Study on GDPR AI-enabled Completeness Checking of DPAs
Authors: Azeem Muhammad Ilyas , Abualhaija Sallam 
Published: June 2024

AbstractSpecifying legal requirements for software systems to ensure their compliance with the applicable regulations is a major concern of requirements engineering. Personal data which is collected by an organization is often shared with other organizations to perform certain processing activities. In such cases, the General Data Protection Regulation (GDPR) requires issuing a data processing agreement (DPA) which regulates the processing and further ensures that personal data remains protected. Violating GDPR can lead to huge fines reaching to billions of Euros. Software systems involving personal data processing must adhere to the legal obligations stipulated both at a general level in GDPR as well as the obligations outlined in DPAs highlighting specific business. In other words, a DPA is yet another source from which requirements engineers can elicit legal requirements. However, the DPA must be complete according to GDPR to ensure that the elicited requirements cover the complete set of obligations. Therefore, checking the completeness of DPAs is a prerequisite step towards developing a compliant system. Analyzing DPAs with respect to GDPR entirely manually is time consuming and requires adequate legal expertise. In this paper, we propose an automation strategy that addresses the completeness checking of DPAs against GDPR provisions as a text classification problem. Specifically, we pursue ten alternative solutions which are enabled by different technologies, namely traditional machine learning, deep learning, language modeling, and few-shot learning. The goal of our work is to empirically examine how these different technologies fare in the legal domain. We computed F$$_2$$

2

score on a set of 30 real DPAs. Our evaluation shows that best-performing solutions yield F$$_2$$

2

score of 86.7% and 89.7% are based on pre-trained BERT and RoBERTa language models. Our analysis further shows that other alternative solutions based on deep learning (e.g., BiLSTM) and few-shot learning (e.g., SetFit) can achieve comparable accuracy, yet are more efficient to develop.