bluuebunny/crossref_metadata_2025_split huggingface dataset:
The pursuit of welfare efficiency: when institutional structures turn ‘less’ into ‘more’
Authors: Steinbacher Christina 
Published: May 2024

AbstractAddressing current socio-economic crises strains public budgets and may threaten fiscal sustainability. Particularly in the welfare sector, where high expenditures meet poor controllability, efficient resource usage is essential to ensure future governments’ capability to act while alleviating current problems. Consequently, this paper asks: why are some countries more efficient in translating social expenditure into welfare outcomes? To answer this question, it is argued that efficiency is a matter of institutional structures and their vertical policy-process integration (VPI): efficiency depends on institutional structures’ capability to (1) ensure policymakers’ responsibility and to (2) provide coordinated feedback, thus pushing for considerate and informed resource use. Analysing the effect of VPI on the relationship between welfare efforts and social outcomes in 21 OECD countries over three decades, the results show that VPI can not only turn ‘less’ into ‘more’, but it also compensates for performance losses in the face of spending cuts.
The State as a Marketizer vs. the Marketization of the State: Two Organizational Models of Public Sector Corporatization
Authors: Fleischer Julia , Danielsen Ole A. , Neby Simon , Nykvist Rasmus 
Published: May 2024

AbstractGovernments engage in corporatization by creating corporate entities or reorganizing existing ones. These corporatization activities reflect an interplay between political agency and environmental pressures, including (changing) notions of state-market relations. This paper discusses two ideal-typed organizational models of corporatization: the state as a marketizer and the marketization of the state. Whereas the first emphasizes the role of political design and agency in corporatization, the second emphasizes the role of (actors in) the environment for corporatization. Both models are assessed across five corporatization episodes in Norway and Sweden, where we also demonstrate the interplay between political agency and environmental pressure.
Understanding bark beetle outbreaks: exploring the impact of changing temperature regimes, droughts, forest structure, and prospects for future forest pest management
Authors: Singh Vivek Vikram , Naseer Aisha , Mogilicherla Kanakachari , Trubin Aleksei , Zabihi Khodabakhsh , Roy Amit , Jakuš Rastislav , Erbilgin Nadir 
Published: May 2024

AbstractClimate change has increased the susceptibility of forest ecosystems, resulting in escalated forest decline globally. As one of the largest forest biomasses in the Northern Hemisphere, the Eurasian boreal forests are subjected to frequent drought, windthrow, and high-temperature disturbances. Over the last century, bark beetle outbreaks have emerged as a major biotic threat to these forests, resulting in extensive tree mortality. Despite implementing various management strategies to mitigate the bark beetle populations and reduce tree mortality, none have been effective. Moreover, altered disturbance regimes due to changing climate have facilitated the success of bark beetle attacks with shorter and multivoltine life cycles, consequently inciting more frequent bark beetle-caused tree mortality. This review explores bark beetle population dynamics in the context of climate change, forest stand dynamics, and various forest management strategies. Additionally, it examines recent advancements like remote sensing and canine detection of infested trees and focuses on cutting-edge molecular approaches including RNAi-nanoparticle complexes, RNAi-symbiotic microbes, sterile insect technique, and CRISPR/Cas9-based methods. These diverse novel strategies have the potential to effectively address the challenges associated with managing bark beetles and improving forest health in response to the changing climate.
The Europa Thermal Emission Imaging System (E-THEMIS) Investigation for the Europa Clipper Mission
Authors: Christensen Philip R. , Spencer John R. , Mehall Greg L. , Patel Mehul , Anwar Saadat , Brick Matthew , Bowles Heather , Farkas Zoltan , Fisher Tara , Gjellum David , Holmes Andrew , Kubik Ian , Larson Melora , Levy Alan , Madril Edgar , Masini Paolo , McEwen Thomas , Miner Mark , Nickles Neal , O’Donnell William , Ortiz Carlos , Osterman David , Pelham Daniel , Rudeen Andrew , Saunders Tyler , Woodward Robert , Abramov Oleg , Hayne Paul O. , Howett Carly J. A. , Mellon Michael T. , Nimmo Francis , Piqueux Sylvain , Rathbun Julie A. 
Published: May 2024

AbstractThe Europa Thermal Emission Imaging System (E-THEMIS) on the Europa Clipper spacecraft will investigate the temperature and physical properties of Europa using thermal infrared (TIR) images in three wavelength bands centered from 7-14 μm, 14-28 μm and 28-80 μm. E-THEMIS will map >80% of the surface Europa at multiple times of day at a resolution of 8-km per pixel, ∼32% percent of the surface at ≤1 km/pixel resolution, and ∼6% percent at ≤100 m/pixel resolution. The specific objectives of the investigation are to 1) understand the formation of surface features, including sites of recent or current geologic activity, in order to understand regional and global processes and evolution and 2) to identify safe sites for future landed missions. E-THEMIS uses an uncooled microbolometer detector array for the IR focal plane. The E-THEMIS focal plane has 920 cross-track pixels (896 active) and 140 along-track pixels in each of the three spectral bands. The image data are collected at 14-bits per pixel at a frame rate of 60 Hz. The instrument can operate in framing mode, where full frame images are collected, and optionally co-added in time, in each band, or in time-delay-integration (TDI) mode where consecutive rows from each band are offset spatially to remove the spacecraft motion and then summed. In addition, the data in each band can be spatially aggregated from 2 × 2 to 5 × 5 pixels. These modes will be varied throughout each Europa flyby to optimize the data precision while fitting within the E-THEMIS data allocation. The expected temperature precision, measured as the noise equivalent spectral radiance, is 1.2 K at scene temperatures ≥90 K for a TDI of 16 with 4 × 4 pixel coaggregation in Band 2. The absolute accuracy at 90 K is 2−3 K in Band 2. E-THEMIS is an all-reflective, three-mirror anastigmat telescope with a 6.45-cm effective aperture and a speed of f/1.34 cross-track and 1.92 along-track. The mass of instrument Sensor Assembly, mounted on the spacecraft nadir deck, is 11.4 kg, the vault electronics are 1.8 kg, and the two are connected through a 3.1 kg harness. The Sensor volume is 23.7 cm x 31.8 cm x 29.8 cm. E-THEMIS consumes an average operation power of 34.8 W at 28 V. E-THEMIS was developed by Arizona State University with Raytheon Vision Systems developing the microbolometer focal plane assembly and Ball Aerospace developing the electronics. E-THEMIS was integrated, tested, and radiometrically calibrated on the Arizona State University campus in Tempe, AZ.
Co-ensiled rice straw with whole sugar beet and its effect on the performance of lactating cows
Authors: Abo-Donia Fawzy Mohamed , Elsheikh Hanim Abdelrahman , Esh Ayman Mohamed Hosny , El-Shora Mohamed Ahmed Hassan , Eldiahy Yasser Mabrouk Mandour 
Published: May 2024

AbstractThis study investigated the effect of co-ensiled rice straw (RS) with whole sugar beet (SB) on lactating cows’ performance. Ensiled rice straw (ERS) as control (CGS) was incorporated with immersed corn grains (CG) for 24 h, while the 2nd and 3rd ensiled RS (LSB and HSB) contained SB substituted of 50 and 100% of CG on an energy basis (total digestible nutrients, TDN), respectively. In the experimental diets, D1, D2, and D3, which include CGS, LSB, and HSB provided ad-libitum, respectively, while a concentrated feed mixture (2% of body weight) was offered. The population of lactic acid bacteria was slightly higher with fed HSB, relative to LSB and CGS. The OM, CP, EE, NFC, and TCH contents of CGS were slightly higher than LSB and HSB, while the opposite happened with the aNDFom, and ADFom contents. The digestibility of DM, OM, aNDFom, and ADFom of the D3 group was higher (P < 0.05) than in D1 and D2. The D3 recorded the highest values (P < 0.05) of silage consumption, and palatability. Milk production, fat-corrected milk (FCM), and energy-corrected milk (ECM) were (P < 0.05) higher for cows fed D3 compared with D1 and D2. Fat, protein, lactose, and total solids were trending on the same track. The feed conversion ratio (FCR) of cows fed diet D3 was better than cows fed D1 diet. The level of glucose in the blood increased (P < 0.05) significantly with feeding on HSB than LSB, which was significantly (P < 0.05) higher compared to CGS. In conclusion, co-ensiling of RS with the whole SB plant consider a good method to improve its nutritional value.
RMS-FlowNet++: Efficient and Robust Multi-scale Scene Flow Estimation for Large-Scale Point Clouds
Authors: Battrawy Ramy , Schuster René , Stricker Didier 
Published: May 2024

AbstractThe proposed RMS-FlowNet++ is a novel end-to-end learning-based architecture for accurate and efficient scene flow estimation that can operate on high-density point clouds. For hierarchical scene flow estimation, existing methods rely on expensive Farthest-Point-Sampling (FPS) to sample the scenes, must find large correspondence sets across the consecutive frames and/or must search for correspondences at a full input resolution. While this can improve the accuracy, it reduces the overall efficiency of these methods and limits their ability to handle large numbers of points due to memory requirements. In contrast to these methods, our architecture is based on an efficient design for hierarchical prediction of multi-scale scene flow. To this end, we develop a special flow embedding block that has two advantages over the current methods: First, a smaller correspondence set is used, and second, the use of Random-Sampling (RS) is possible. In addition, our architecture does not need to search for correspondences at a full input resolution. Exhibiting high accuracy, our RMS-FlowNet++ provides a faster prediction than state-of-the-art methods, avoids high memory requirements and enables efficient scene flow on dense point clouds of more than 250K points at once. Our comprehensive experiments verify the accuracy of RMS-FlowNet++ on the established FlyingThings3D data set with different point cloud densities and validate our design choices. Furthermore, we demonstrate that our model has a competitive ability to generalize to the real-world scenes of the KITTI data set without fine-tuning.
Mapping the enhancing effects of additive manufacturing technology adoption on supply chain agility
Authors: Naghshineh Bardia 
Published: May 2024

AbstractGiven the proclaimed importance of additive manufacturing (AM) for generating agile supply chains, this study draws on the dynamic capabilities view to investigate the enhancing effects of adopting this digital technology on supply chain agility (SCA). To this end, relevant pieces of evidence are systematically gathered from a sample of 101 high-quality peer-reviewed journal articles at the intersection of AM technology and supply chain management.This information is then analyzed and synthesized to holistically map the features of AM technology adoption that enhance SCA. As a result, 42 features of AM technology adoption are identified that enhance thirteen different dimensions of SCA. The derived map explicitly indicates which features of AM technology adoption enhance which dimensions of SCA. Hence, this map can be used as a strategic tool by managers and policymakers who wish to explore different ways of enhancing SCA via AM technology adoption. This would, in turn, enable the adopting firm to deal with erratic business environments and dynamic supply chains in an agile manner, and therefore gain a competitive advantage. Moreover, based on the identified “white space” in the derived map, multiple questions are put forward that form a research agenda for future research.
Fundamental properties and sustainable applications of the natural zeolite clinoptilolite
Authors: Grifasi Nadia , Ziantoni Bianca , Fino Debora , Piumetti Marco 
Published: May 2024

Abstract
This review explores a set of sustainable applications of clinoptilolite, a natural zeolite abundant around the world in different localities. Thanks to its physico-chemical properties this material is extremely versatile for several applications, ranging from environmental catalysis and CO2 removal to industrial and agricultural wastewater purification, aquaculture, animal feeding, and food industry but also medical applications and energy storage systems. Due to the presence of cations in its framework, it is possible to tune the material’s features making it suitable for adsorbing specific compounds. Thus, this review aims to provide insight into developing new technologies based on the use of this material that is sustainable, not harmful for humans and animals, naturally abundant, and above all cost-effective. Furthermore, it is intended to promote the use of natural materials in various areas with a view to sustainability and to reduce as far as possible the use of chemicals or other materials whose synthesis process can have a polluting effect on the environment.

Graphical abstract
Encapsulated Opuntia spp. fruit powder as a natural colorant in biscuit filling cream
Authors: Protonotariou S. V. , Chaloulos P. , Mandala I. G. 
Published: May 2024

AbstractThe aim of the present study was to assess the utilization of prickly pear (PP) powder obtained by spray drying of juice (Opuntia spp., purple cultivar), in a sandwich biscuit filling cream, incorporating different concentrations from 0.5 to 10% (w/w). Cream viscosity profiles did not differ according to PP concentration Color saturation was achieved at 6% PP. In the final recipe, 2% of the PP powder was added in the cream, as was determined by sensory evaluation. Commercial sandwich biscuit with cream containing strawberry powder (SP) was also evaluated as reference. Semi trained assessors concluded that SP and PP filling creams had similar sweetness but different dominant color attributes: light pink and purple, approximating strawberry, and passion fruit respectively. When a cluster analysis was performed, two clusters of consumers were revealed with clear color choice, in favor of PP. A clustering of all parameters measured revealed that objective color parameters, were clustered together only with some cream sensorial attributes detected by semi trained assessors. Hue angle was the only color attribute that was highly correlated to consumer acceptance. PP cream and sandwich biscuit were highly acceptable indicating the potential of using PP as natural colorant.
Graphical abstract
Combination therapy of beta-blockers and digoxin is associated with increased risk of major adverse cardiovascular events and all-cause mortality in patients with atrial fibrillation: a report from the GLORIA–AF registry
Authors: Lam Steven Ho Man , Romiti Giulio Francesco , Olshansky Brian , Chao Tze-Fan , Huisman Menno V. , Lip Gregory Yoke Hong 
Published: May 2024

AbstractThe effect of digoxin and beta-blockers on cardiovascular outcomes and mortality remains unclear. The study aimed to determine differences in cardiovascular (CV) outcomes and death rates among patients with atrial fibrillation (AF) who were prescribed with beta-blockers, digoxin or combination therapy. Data from phase II/III of the prospective Global Registry on Long-Term Oral Anti-thrombotic Treatment in Patients with Atrial Fibrillation (GLORIA–AF) were analysed. The risk of major cardiovascular events (MACE) and death among patients with different prescriptions using COX proportional hazard regression was considered. Propensity score (PS) matching and weighting were further used to adjust for potential confounders of prescription use. A total of 14,201 patients [median age: 71.0 (IQR 64.0–77.0) years; 46.2% female] were recruited. After a median follow-up of 3.0 (IQR 2.4–3.1) years, 864 MACE, and 988 all-cause deaths were recorded. The incidence rate (IR) of MACE was 22.4 (95%CI 21.0–24.0) per 1000 person-years, while the IR of all-cause death was 25.4 (95%CI 23.8–27.0) per 1000 person-years. After multivariate adjustment with Cox regression, the risk of MACE (HR 1.35, 95% CI 1.09–1.68) and the risk of all-cause death (HR 1.28, 95%CI 1.04–1.57) were significantly higher in the combination therapy group, compared to the beta-blockers alone group. The risks of MACE and all-cause death remained significant in both PS matched and PS weighted cohort Among AF patients, combination therapy of beta-blockers and digoxin was associated with higher risks of MACE and all-cause death compared to beta-blockers alone.
Robotic Surgery for Head and Neck Tumors: What are the Current Applications?
Authors: Chan Po Ling Catherine , Wong Eddy Wai Yeung , Chan Jason Ying Kuen 
Published: May 2024

Abstract
Background
The journey from radical treatments to the precision of robotic surgery underscores a commitment to innovation and patient-centered care in the field of head and neck oncology.

Purpose of review
This article provides a comprehensive overview that not only informs but also stimulates ongoing discourse and investigation into the optimization of patient care through robotic surgery. The literature on current robotic applications within head and neck region was systematically reviewed.

Recent findings
Thirty-four studies with a total of 1835 patients undergoing robotic surgery in head and neck region were included. Clinical staging, histological types, operative duration, postoperative complications, functional recovery and survival outcomes were compared and evaluated.

Summary
Clinical outcomes have shown promising results and thus the indication on the robotic usage has no longer been limited to oropharyngeal region but from skull base to neck dissection. The latest advancement in robotic surgery further refines the capabilities of surgeons into previously difficult-to-access head and neck regions and heralds a new era of surgical treatment for head and neck oncology.
Effects of metformin on the glucose regulation, lipid levels and gut microbiota in high-fat diet with streptozotocin induced type 2 diabetes mellitus rats
Authors: Zhou Xuan , Zhou Jian , Ban Qingfeng , Zhang Mei , Ban Bo 
Published: May 2024

Abstract
Objective
Metformin, an anti-diabetic drug, regulates blood glucose by affecting gut microbiotas. However, the potential mechanism underlying this effect remains unclear. This study aimed to evaluate the effect of metformin on glucose regulation, lipid levels, and the gut microbiota in rats with type 2 diabetes mellitus induced by a high-fat diet with streptozotocin.

Research design methods
Thirty Wistar rats was using in this experiment. T2DM rats were administered 300 mg/kg metformin for 8 weeks. The glucose regulation, lipid levels, organ coefficients, and gut microbiotawere measured by 16S rDNA.

Result
The metformin-gavaged rats exhibited significant improvements in blood glucose and serum lipid levels, accompanied by alterations in short-chain fatty acid levels and the intestinal microbiota (p < 0.05). In the diabetic rats, metformin potentially increased specific probiotics, thus improving the hypoglycaemic effects of the oral anti-diabetic drug. Further, damage to the liver and kidney was effectively alleviated in the metformin-gavaged rats.

Conclusion
This study’s findings demonstrate that metformin exerts a positive anti-diabetic effect in HFD- and STZ-induced T2DM rats. These findings potentially provide a basis for the recommended use of metformin as a reliable oral drug for T2DM owing to its positive effect on the intestinal microbiota.
Vector bundles without intermediate cohomology and the trichotomy result
Authors: Ottaviani Giorgio 
Published: May 2024

AbstractHorrocks (Proc London Math Soc 14:689-713, 1964) that vector bundles on $${\mathbb P}^n$$

P

n

without intermediate cohomology split as direct sum of line bundles. This result has been the starting point of a great research activity on other varieties, showing interesting connections with derived categories and other areas. We follow some paths into this fascinating story, which has classical roots. The story has a culmination with the trichotomy result (finite/tame/wild) for arithmetically Cohen Macaulay (ACM) varieties obtained by Faenzi and Pons-Llopis in 2021. This is an expanded version of the talk given at the conference“Homemade Algebraic Geometry”in July 2023 at Alcalá de Henares celebrating Enrique Arrondo’s 60th birthday.
Converging and Diverging Cerebellar Pathways for Motor and Social Behaviors in Mice
Authors: van der Heijden Meike E 
Published: May 2024

AbstractEvidence from clinical and preclinical studies has shown that the cerebellum contributes to cognitive functions, including social behaviors. Now that the cerebellum’s role in a wider range of behaviors has been confirmed, the question arises whether the cerebellum contributes to social behaviors via the same mechanisms with which it modulates movements. This review seeks to answer whether the cerebellum guides motor and social behaviors through identical pathways. It focuses on studies in which cerebellar cells, synapses, or genes are manipulated in a cell-type specific manner followed by testing of the effects on social and motor behaviors. These studies show that both anatomically restricted and cerebellar cortex-wide manipulations can lead to social impairments without abnormal motor control, and vice versa. These studies suggest that the cerebellum employs different cellular, synaptic, and molecular pathways for social and motor behaviors. Future studies warrant a focus on the diverging mechanisms by which the cerebellum contributes to a wide range of neural functions.
Versatile 3D-printed fin-ray effect soft robotic fingers: lightweight optimization and performance analysis
Authors: Srinivas Gidugu Lakshmi , Javed Arshad , Faller Lisa Marie 
Published: May 2024

AbstractFin ray soft robotic fingers are inspired by the structure and movement of fish fins, enabling flexible and adaptive grasping capabilities. Addressing the challenges of resource efficiency in terms of reduced energy consumption and material expense, this work focuses on further optimizing inherently low-energy fin-ray fingers towards lightweight design. Soft grippers are used frequently in dynamically changing environments and have become inevitable in handling tasks for delicate objects. However, these grippers generally show limited performance and payload-carrying capacity in high-force application scenarios. To address these limitations, topology optimization technique is used here to obtain both gripping capabilities and high factor of safety (FOS) of fingers. The performance of various structures of fin-ray and optimized fingers are analyzed: rectangular, trapezoidal, straight struts, and inclined struts for angles + 45°, − 45°. The topologically optimized structure has 15.2% less mass compared to considered fin-ray finger’s average mass. The deflection coefficient (Cd) is calculated to select the best structure of the fingers based on grasping scenario, and its value should be minimum. The straight strut finger with thickness of t = 2 mm shows best wrapping capabilities compared to all fingers with Cd = 0.1574. The topologically optimized finger’ Cd = 0.1896 at volume fraction of 0.1. Even though the Cd is slightly higher, its FOS is 1.71 times higher. An experimental setup is developed to validate the simulation results with the help of a UR3e robotic arm and an AXIA80 force sensor. The grasping demonstration of soft robotic gripper is performed on various objects: coffee cup and wooden block.