bluuebunny/crossref_metadata_2025_split huggingface dataset:
Energy efficiency in the commercial rented sector and considerations on the rebound effect after PV system installation in a shopping center in Spain
Authors: De Tommasi Luciano , Agrawal Ruchi 
Published: December 2023

Abstract

Across Europe, buildings account for 40% of energy consumption and 36% of carbon emissions. It is estimated that 75% of buildings in the European Union (EU) are inefficient, yet only 1% of buildings are renovated each year [1]. As part of the EU H2020 funded SmartSPIN (Smart Energy Services to solve the split incentive problem in the commercial rented sector) project, a novel business model to support efficiency measures in rented premises, is being developed and evaluated. The business model will provide an equitable, transparent model for splitting the energy savings and the costs of energy efficiency measures and services between landlords, tenants and energy efficiency service providers. The business model aims to reduce the split incentive issue, which occurs when the benefits of investing in energy efficiency do not accrue to the actor who pays for the energy efficiency measures. The split incentive issue is one of the major market barriers to energy efficient building renovations across rented buildings in Europe and could result in exacerbating the severe energy efficiency gap in the rented sector [2]. Energy efficiency measures are being installed at demonstration sites of SmartSPIN. These measures include a PV-system which has been installed at La Gavia shopping centre, Madrid. This paper aims to review the proposed business model and energy efficiency service and to generate awareness among the stakeholders regarding the rebound effect associated with the adoption of PV system in commercial buildings, analysing data from the PV-system installed at La Gavia shopping centre. Indeed, awareness regarding rebound effect may influence the agreements between the parties in an energy performance contract because it determines a reduction in expected energy savings that is caused by a behavioural change of the energy consumers. Finally, the paper will briefly review other energy efficiency measures relevant with the commercial rented sector.
Multi-proxy study of the Reindeer Lake evolution (Reinodden Point, Spitsbergen) and its importance for the reconstruction of the Holocene environmental changes in polar regions
Authors: Dobrowolski Radosław , Zagórski Piotr , Pidek Irena , Rodzik Jan , Hajdas Irka 
Published: December 2023

Abstract

Multi-proxy analyses of two twin sediment cores from Reindeer Lake were performed to reconstruct Holocene environmental conditions in this eastern branch of Bellsund region (Western Spitsbergen). The basal sediment was AMS-dated to 8.4-8.2 ka cal BP. The low thickness of the sediments in the profile, with a good correlation of dates with their depth in the age-depth model, and the homogeneity of algae gyttja with the dominance of one species, Pediastrum orientale, indicate: (1) very slow sedimentation process during the period of the lake’s functioning, (2) low supply of nutrients from the catchment throughout the period from mid-Holocene to the present, (3) the process of constant physiological adaptation of Pediastrum orientale algae to changing environmental conditions. The inferred climatic history at Reindeer Lake is compatible with other evidence from Svalbard and elsewhere in the Arctic.
Investigation of a plasmonic optical sensor for acetone detection in exhaled breath condensate
Authors: fernandes gabriel , Nascimento Helder , Cruz Rossana , Marques Jefferson , Moreira Cleumar 
Published: December 2023

Abstract
A numerical investigation of a sensor for acetone monitoring in exhaled breath condensate (EBC) using surface plasmon resonance principle is proposed. We use the Kretschmann-Raether (K-R) setup and the Fresnel multilayer model for the theoretical analysis. Three figures of merit, i.e., resonance angle (RA), minimum reflectance at resonance (MRR), and full width at half maximum (FWHM) are used for performance analysis. Firstly, the sensor performance for different plasmonic metals and substrates is evaluated. Results using gold, silver, and copper as the plasmonic metals and polycarbonate the substrate, showed narrow SPR curves with an FWHM of less than 1.8 degrees. Achieved values for MRR parameter are close to zero (< 0.001). Subsequently, we evaluate the effects of adding polyaniline (PANI), graphene, or chitosan as a chemisorption binding layer for the selective sensing of acetone. Our findings suggest that these materials present suitable responses when applied as an overlay to the sensor. Their thicknesses, however, should be kept close to a single monolayer level to preserve performance. The overall best result occurs when polycarbonate is the substrate, silver, is the metal, and chitosan, is the reception layer.
Experimental investigation comparing thermal performance of parallel and counter flow in 3D printed triangular cross section dual microchannel heat sink with rough wall surface
Authors: Nadarajah Puurnaraj , Mohamed Khairudin , Abdullah Jamaluddin , Devarajan Mutharasu 
Published: December 2023

Abstract
An additive manufactured triangular cross section microchannel heat sink (MCHS) is experimentally investigated by comparing parallel and counter flow arrangement. It consists of dual microchannel with hydraulic diameter of 650 µm, where the emphasize is given on the influence of flow configuration and rough wall structure on thermal performance of MCHS. Pressure drop, Nusselt number, thermal resistances, thermal performance index and temperature gradient across microchannel are evaluated and compared. For flow rate between 1 ml/min - 5 ml/min, counter flow offers more uniform temperature distribution across MCHS surface at a maximum difference of 37.2% and generates lower pressure drop by at least 25 % compared to parallel flow configuration. As Reynold number exceeds 140, parallel flow Nusselt number is greater which leads to superior thermal performance index (TPI) between 12.7 % - 25.9 %. Convective thermal resistance is found to be the dominant thermal resistance compared to capacitive and conductive thermal resistance. To conclude, at flow rate below 5 ml/min, counter flow offers the best thermal performance due a more uniform thermal gradient across MCHS surface and negligible differences in TPI between both flows configuration. At a higher flow rate of 5 ml/min and above, thermal gradient is independent of flow configuration and parallel flow is preferred due to higher TPI.
Estimation of the Correlation Between Temperature and Precipitation in Bafra Plain Using Copula
Authors: Sözen Çağlar , Sağlam Fatih , Sözen Mervenur , Zorlu Kuttusi 
Published: December 2023

Abstract
Temperature and precipitation are two critical climate parameters that influence agricultural productivity and various extreme hydrological and meteorological phenomena. Both temperature and precipitation have non-normal marginal distribution and have varying correlation over time. In many cases, while the marginal distributions of these two variables are known, their joint distributions remain unknown. Modelling the potential dependence under varying correlation and non-normal distribution can be achieved using Copula. In this study, we analysed the relationship between total precipitation and temperatures within the Bafra Plain using the Copula method considering maximum, minimum and average temperature, and total precipitation. First, the assumption of autocorrelation was tested using Ljung-Box unit root, Mann-Kendall trend, and Ollech-Webel seasonality tests. Then, the presence of autocorrelation was verified through autocorrelation functions (ACF). To mitigate autocorrelation, appropriate SARIMA and NNAR models were determined based on ACF. A multivariate analysis was conducted on residuals by examining the marginals distributions and copula dependency. Parameters of the marginal distributions and copula families were estimated by maximizing log-likelihood. The suitable copula families were determined based on Bayesian information criteria (BIC). Copula Kendall correlations (τCK) together with Spearman (ρs) and Pearson correlation coefficient (ρp) calculated to show the effect of copula in revealing correct relationship. As a result, the Copula method demonstrated moderate negative correlation of minimum and maximum temperature with precipitation which is higher compared to low negative correlation of ρs and ρp. For average temperature and precipitation, all three methods showed similar low negative correlation. The outcomes contribute to establishing more robust foundations for implementing measures to preserve and strengthen the region's agricultural sustainability.
OSIS: Obstacle-Sensitive and Initial-Solution-first path planning
Authors: Zhang Kaibin , Liu Liang , Zhai Wenbin , Ding Youwei , Hu Jun 
Published: December 2023

Abstract
Informed path planning is a type of algorithm that uses problem-specific knowledge, expressed as heuristics, to efficiently discover an optimal path between a start and goal state.The efficiency of an informed algorithm is contingent upon how quickly the planner can find the initial solution and the associated overhead involved in collision detection.Existing informed planners do not fully exploit the information contained in historical collision detection results, resulting in additional unnecessary collision detections.Furthermore, they optimize paths through rewiring before discovering an initial solution. This approach not only hampers the planner's space exploration, but also generates a superfluous amount of unproductive overhead.In this paper, an Obstacle-Sensitive and Initial-Solution-first path planning algorithm (OSIS) is proposed. OSIS leverages historical collision detection results to construct an asymptotically accurate distribution of obstacles in space. Based on this distribution, OSIS employs a reusable, inadmissible yet more accurate heuristic that applies to the entire problem domain.Additionally, an initial-solution-first path optimization strategy is proposed to eliminate unnecessary path optimization. It ensures that OSIS prioritizes exploring uncharted spaces, leading to faster initial solution discovery.Experiments have demonstrated that OSIS outperforms existing algorithms in navigating around obstacles, and achieving convergence in solution cost.
Caspase recruiting domain-containing protein 11 (CARD11) serves as a therapeutic biomarker for the drug therapies of clear cell renal cell carcinoma
Authors: Tian Kaiwen , Tang Yanlin , Wang Qianian , Ye Chujin , Cheng Shouyu , Feng Chunxiang , Li Teng , Liu Jiumin , Yu Yuming 
Published: December 2023

Abstract
Clear cell renal cell carcinoma (ccRCC) belongs to the ten most diagnosed cancer types worldwide. Novel drug therapies are introduced and beneficial to the advanced ccRCC but lack effective biomarkers for the therapeutic response. Tumor-infiltrating immune cells and gene signatures are two critical factors for the response to immunotherapy and targeted therapy. Meanwhile, Caspase recruiting domain-containing protein 11 (CARD11) owns a deep connection with the immune system and has recently been identified to play a role in tumor development. Therefore, we investigated the CARD11 expression and its association with the immune environment in ccRCC to discover novel therapeutic biomarkers. Data from TCGA and GEO together with IHC were extracted to analyze the mRNA and protein expression of CARD11 in ccRCC. EWAS Atlas and cBioPortal provided the epigenomic modification information of CARD11. Then, we utilized the ESTIMATE, ssGSEA, and TIP to illustrate the relationship between CARD11 expression and the immune landscape in ccRCC. Furthermore, CARD11 was investigated for its correlation with the response toward immunotherapy and targeted therapy through the online datasets TIDE and GDSC. As we found, CARD11 expression was upregulated which may be mainly modified by body methylation and was correlated with poor prognosis in ccRCC. In the tumor microenvironment of ccRCC, CARD11 expression was positively correlated with increased T lymphocyte infiltration and increased expression of inhibitory immune checkpoints. Moreover, ccRCC patients with high CARD11 expression had a better response to immunotherapy and targeted therapy. The knockdown of CARD11 ultimately suppressed the proliferation, migration, and invasion capabilities of ccRCC cells while simultaneously enhancing tumor cell apoptosis. In summary, we identified CARD11 as a novel therapeutic biomarker for immunotherapy and targeted therapy in ccRCC.
Aperiodic component of EEG power spectrum and cognitive performance in aging: the role of education
Authors: Montemurro Sonia , Borek Daniel , Marinazzo Daniele , Zago Sara , Masina Fabio , Napoli Ettore , Filippini Nicola , Arcara Giorgio 
Published: December 2023

Abstract
Aging is associated with changes in the oscillatory -periodic- brain activity in the alpha band (8–12 Hz), as measured with resting-state EEG (rsEEG); it is characterized by a significantly lower alpha frequency and power. Aging influences the aperiodic component of the power spectrum: at a higher age the slope flattens, which is related with lower cognitive efficiency. It is not known whether education, a cognitive reserve proxy recognized for its modulatory role on cognition, influences such relationship. N = 179 healthy participants of the LEMON dataset (Babayan et al., 2019) were grouped based on age and education: young adults with high education and older adults with high and low education. Eyes-closed rsEEG power spectrum was parametrized at the occipital level. Lower IAPF, exponent, and offset in older adults were shown, compared to younger adults. Visual attention and working memory were differently predicted by the aperiodic component across education: in older adults with high education, higher exponent predicted slower processing speed and less working memory capacity, with an opposite trend in those with lower education. Further investigation is needed; the study shows the potential modulatory role of education in the relationship between the aperiodic component of the EEG power spectrum and aging cognition.
Identification of Novel Compounds Targeting the Liver X Receptor (LXR): in-silico studies, screening, molecular docking, and chemico-pharmacokinetic analysis
Authors: Arifuzzaman Sarder , Labu Zubair Khalid , Harun-Or-Rashid Md. , Laboni Farhina Rahman , Khatun Mst. Reshma , Chowdhury Nargis Sultana 
Published: December 2023

Abstract
Background
Studies have shown that LXR activity is linked to the development of many diseases, including metabolic diseases. Several LXR agonists have been discovered, but none of the agonists have entered human use due to undesirable side effects.
Method
In this study, we used multiple biological data repositories (e.g., RNA-seq, human protein atlas, DisGeNET, WebGestalt, and many more) to examine the mRNA and protein expression of LXRs across the tissues and performed network and pathway analysis to redefine their physiological function and disease association. By using in silico research, the current research searches the literature, concentrating on the discovery of new, potentially useful compounds targeting LXRs. We performed molecular docking analysis on LXR agonists that are either approved for preclinical trials or in advanced stages of research. This was carried out using AutoDockTools, ligand-based virtual screening, in-silico studies, screening, molecular docking, and chemico-pharmacokinetic analysis
Results
Our research implies that the various physiological roles of LXRs and the pharmacological modification of LXRs by small molecules may offer pharmacotherapeutic approaches for disease intervention. After conducting molecular docking analysis and in silico searches, we selected T0901317 and AZ876 for additional screening because they showed the highest affinity for LXR-α and LXR-β. We later conducted a global screening for novel compounds for the LXRs, guided by the previously established chemical structures of T0901317 and AZ876, as well as chemico-pharmacokinetic analysis. Finally, ZINC000095464663 and ZINC000021912925 were found to have the highest binding affinities (− 12.3 and − 11.7 kcal/mol), and potentially useful compounds with favorable chemico-pharmacokinetic features for LXR-α and LXR-β, respectively.
Conclusion
In summary, the use of SwissSimilarity, molecular docking analysis, and SwissADME for in silico chemico-pharmacokinetic assessment revealed two new and ten previously reported small molecules with potential for oral administration that target LXR-α and LXR-β. This could lead to the development of medium- and long-term pharmacotherapeutic solutions for these molecules.
Threads Outweigh Opportunities for the Shrimp Fishery in the Colombian Pacific Ocean under climate change scenarios
Authors: Benavides Iván Felipe , Garcés-Vargas José , Selvaraj John Josephraj 
Published: December 2023

Abstract
Climate change brings a range of challenges and opportunities to shrimp fisheries globally, and the Colombian Pacific Ocean (CPO) is a notable case due to their crucial role in the economy, supporting livelihoods for numerous families. However, the potential impacts of climate change on the distribution of shrimps loom large, making it urgent to scrutinize the prospective alterations that might unfurl across the CPO. Employing the Species Distribution Modeling approach under Global Circulation Model scenarios, we predicted the current and future potential distributions of five commercially important shrimps (Litopenaeus occidentalis, Xiphopenaeus riveti, Solenocera agassizii, Penaeus brevirostris, and Penaeus californiensis) based on an annual cycle, and considering the decades 2030 and 2050 under the Shared Socioeconomic Pathways SSP 2.6, SSP 4.5, SSP 7.0, and SSP 8.0. The Bathymetric Projection Method was utilized to obtain spatiotemporal ocean bottom predictors, giving the models more realism for reliable habitat predictions. Six spatiotemporal attributes were computed to gauge the changes in these distributions: area, depth range, spatial aggregation, percentage suitability change, gain or loss of areas, and seasonality. L. occidentalis and X. riveti exhibited favorable shifts during the initial semester for both decades and all scenarios, but unfavorable changes during the latter half of the year, primarily influenced by projected modifications in bottom salinity and bottom temperature. Conversely, for S. agassizii, P. brevirostris, and P. californiensis, predominantly negative changes surfaced across all months, decades, and scenarios, primarily driven by precipitation. These changes pose both threats and opportunities to shrimp fisheries in the CPO. However, their effects are not uniform across space and time. Instead, they form a mosaic of complex interactions that merit careful consideration when seeking practical solutions. These findings hold potential utility for informed decision-making, climate change mitigation, and adaptive strategies within the context of shrimp fisheries management in the CPO.
Agriculture cover and local vegetation structure shape Squamata’s diversity in agricultural landscapes in Brazilian Cerrado
Authors: Mesquita Gabryella de Sousa , Silveira Priscila , Ramalho Werther Pereira , Santos Juliana Silveira dos , Machado Iberê Farina , Vaz-Silva Wilian , Maciel Natan Medeiros , Ribeiro Milton Cezar , Collevatti Rosane Garcia 
Published: December 2023

Abstract

Context
. Changes in landscapes due to conversion of natural vegetation into agroecosystems are causing an alarming and rapid loss of biodiversity on a global scale.
Objectives
. We assess how local environmental factors and landscape structure influence Squamata reptiles' abundance, alpha and beta diversities in agricultural landscapes in the Brazilian Cerrado.
Methods
. We sampled 20 sites using active visual search and pitfall traps to record Squamata reptiles' abundance and richness. For each sampling site, we measured seven variables of vegetation structure at local scale and calculated four landscape metrics at five spatial scales.
Results
. We recorded 145 individuals of 30 Squamata species being 15 lizards, 12 snakes and three amphisbaenians. Agriculture cover had a negative effect on lizards' abundance and richness. No effect was found on the abundance and richness of snakes. Species turnover was the major process responsible for Squamata reptile dissimilarity among sites. Reptile total beta diversity and species turnover were explained by variation in the number of trees at local scale.
Conclusions.
Our results highlight the negative effects of agriculture expansion at both species abundance and richness in lizard communities. Moreover, vegetation structure may act as an environmental filter and predict the variation in Squamata reptiles’ species turnover between sites. Our findings show that the maintenance of well-preserved patches of natural vegetation in agricultural landscapes are of utmost importance for Squamata reptiles’ conservation and should be considered in landscape conservation and management design.
Variability and Inconsistency of Titles for Part-time Faculty Appointments at US Medical Schools
Authors: DeBroff Brian M. 
Published: December 2023

Abstract

US medical faculty are increasing the number of part-time, voluntary, and clinical faculty members as academic facilities expand and acquire an increasing number of community clinical practices. Academic institutions have used variable, inconsistent, and often overlapping titles for their part-time faculty. This paper identifies, categorizes, and analyzes the variability in titles used to describe the part-time medical school faculty and distinguish these faculty from full-time, ladder or tenure track faculty at US medical schools. Suggestions for simplifying and unifying the nomenclature are proposed as a method to create uniformity and consistency and avoid confusion among member of academia, the public, and the patient population.
A Novel Learning Rule in Intuitionistic Fuzzy Artificial Neural Network and its Applications to MAGDM Support System
Authors: Robinson P John Robinson 
Published: December 2023

Abstract
In this work, Artificial Neural Network (ANN)-based Multiple Attribute Group Decision Making (MAGDM) models have been provided. These models take into consideration pairs of justifications referred to as weighted geometric pairs, where one component is employed to induce an ordering over the second component, which are intuitionistic fuzzy values, and then aggregated. The recommended strategy of a novel Delta Learning rule named as Robin-Delta Learning rule-based ANN is proposed in this article, where the inputs take the form of intuitionistic fuzzy matrices and are resolved and comparisons are made with the traditional Delta Learning Rule with a numerical illustration. Because it removes the unimportant decision alternatives from the system, the Robin-Delta ANN, which is a groundbreaking contribution in the field of intuitionistic fuzzy ANN, proves to be more effective than the previous methods of MAGDM problems and hence provide a new decision support system in the field of decision making.