bluuebunny/crossref_metadata_2025_split huggingface dataset:
Surface Exospheric Interactions
Authors: Teolis Ben , Sarantos Menelaos , Schorghofer Norbert , Jones Brant , Grava Cesare , Mura Alessandro , Prem Parvathy , Greenhagen Ben , Capria Maria Teresa , Cremonese Gabriele , Lucchetti Alice , Galluzzi Valentina 
Published: January 2023

AbstractGas-surface interactions at the Moon, Mercury and other massive planetary bodies constitute, alongside production and escape, an essential element of the physics of their gravitationally bound exospheres. From condensation and accumulation of exospheric species onto the surface in response to diurnal and seasonal changes of surface temperature, to thermal accommodation, diffusion and ultimate escape of these species from the regolith back into space, surface-interactions have a drastic impact on exospheric composition, structure and dynamics. The study of this interaction at planetary bodies combines exospheric modeling and observations with a consideration of fundamental physics and laboratory experimentation in surface science. With a growing body of earth-based and spacecraft observational data, and a renewed focus on lunar missions and exploration, the connection between the exospheres and surfaces of planetary bodies is an area of active and growing research, with advances being made on problems such as topographical and epiregolith thermal effects on volatile cold trapping, among others. In this paper we review current understanding, latest developments, outstanding issues and future directions on the topic of exosphere-surface interactions at the Moon, Mercury and elsewhere.
Performance–energy trade-offs of deep learning convolution algorithms on ARM processors
Authors: Dolz Manuel F. , Barrachina Sergio , Martínez Héctor , Castelló Adrián , Maciá Antonio , Fabregat Germán , Tomás Andrés E. 
Published: January 2023

AbstractIn this work, we assess the performance and energy efficiency of high-performance codes for the convolution operator, based on the direct, explicit/implicit lowering and Winograd algorithms used for deep learning (DL) inference on a series of ARM-based processor architectures. Specifically, we evaluate the NVIDIA Denver2 and Carmel processors, as well as the ARM Cortex-A57 and Cortex-A78AE CPUs as part of a recent set of NVIDIA Jetson platforms. The performance–energy evaluation is carried out using the ResNet-50 v1.5 convolutional neural network (CNN) on varying configurations of convolution algorithms, number of threads/cores, and operating frequencies on the tested processor cores. The results demonstrate that the best throughput is obtained on all platforms with the Winograd convolution operator running on all the cores at their highest frequency. However, if the goal is to reduce the energy footprint, there is no rule of thumb for the optimal configuration.
Space–time analysis of the earth's surface temperature, surface urban heat island and urban hotspot: relationships with variation of the thermal field in Andalusia (Spain)
Authors: García David Hidalgo , Díaz Julián Arco 
Published: January 2023

AbstractUnderstanding just how the increase in the Earth's Surface Temperature (LST) is related to alterations of the urban climate —Surface Urban Heat Island (SUHI) or Urban Hotspots (UHS)— and with the deterioration of cities´ environmental quality has become a great challenge. Societies worldwide seek actions that might break these trends and improve the quality of life of local inhabitants in the face of climate change. In this research, and with the help of Sentinel 3 satellite images (day and night), the space–time variability of the LST and the SUHI over the metropolitan areas of the capitals of Andalusia (Spain) during the year 2021 was studied to evaluate how these variables, together with the Land Use/Land Cover (LULC), may have influenced the variability of the UHS and the level of thermal comfort according to the Thermal Field Variance Index (UTFVI). As results, an important spatial variability of the LST, SUHI, UHS, and the different classes of UTFVI is reported. The diurnal UHS are found mainly in rural areas without vegetation, whereas the night UHS are distributed in urban areas with impervious surfaces.
Use of topical and temporal profiles and their hybridisation for content-based recommendation
Authors: de Campos Luis M. , Fernández-Luna Juan M. , Huete Juan F. 
Published: January 2023

AbstractIn the context of content-based recommender systems, the aim of this paper is to determine how better profiles can be built and how these affect the recommendation process based on the incorporation of temporality, i.e. the inclusion of time in the recommendation process, and topicality, i.e. the representation of texts associated with users and items using topics and their combination. To that end, we build both topically and temporally homogeneous subprofiles to represent items. The main contribution of the paper is to present two different ways of hybridising these two dimensions and to evaluate and compare them with other alternatives. Our proposals and experiments are carried out in the specific context of publication venue recommendation.
Elastic Shape Analysis of Surfaces with Second-Order Sobolev Metrics: A Comprehensive Numerical Framework
Authors: Hartman Emmanuel , Sukurdeep Yashil , Klassen Eric , Charon Nicolas , Bauer Martin 
Published: January 2023

AbstractThis paper introduces a set of numerical methods for Riemannian shape analysis of 3D surfaces within the setting of invariant (elastic) second-order Sobolev metrics. More specifically, we address the computation of geodesics and geodesic distances between parametrized or unparametrized immersed surfaces represented as 3D meshes. Building on this, we develop tools for the statistical shape analysis of sets of surfaces, including methods for estimating Karcher means and performing tangent PCA on shape populations, and for computing parallel transport along paths of surfaces. Our proposed approach fundamentally relies on a relaxed variational formulation for the geodesic matching problem via the use of varifold fidelity terms, which enable us to enforce reparametrization independence when computing geodesics between unparametrized surfaces, while also yielding versatile algorithms that allow us to compare surfaces with varying sampling or mesh structures. Importantly, we demonstrate how our relaxed variational framework can be extended to tackle partially observed data. The different benefits of our numerical pipeline are illustrated over various examples, synthetic and real.
Properties, Collections, and the Successive Addition Argument: A Reply to Malpass
Authors: Dagher Ibrahim 
Published: January 2023

AbstractThe Successive Addition Argument (SAA) is one of the key arguments espoused by William Lane Craig for the thesis that the universe began to exist. Recently, Malpass, Mind, 131(523), 786–804 (2021) has developed a challenge to the SAA by way of constructing a counterexample that originates in the work of Fred Dretske. In this paper, I show that the Malpass-Dretske counterexample is in fact no counterexample to the argument. Utilizing a distinction between properties of members and properties of collections, I argue that Malpass’ counterexample has no bearing on the soundness of the SAA. I also develop a novel parity argument against Malpass’ argument that I demonstrate can only be resolved by way of the aforementioned analysis.
Possibility to apply unified methodology in vibration analysis for long lasting and impulse sources, in terms of influence on people in buildings
Authors: Duda Józef 
Published: January 2023

AbstractThe present work addresses the problem of unified methodology use for vibration analysis caused by various anthropogenic sources. The experimental part of the paper contains analysis and results comparison of the vibration, induced by freight train passages and hammer percussion. Ground vibrations are important for the civil engineering objects condition since the vibration induced by train is transmitted through the ground to the foundation and structure. Ground vibration can also be a source of disturbance for the residents. However, various factors cause vibration that varies in both intensity and frequency measures. The analysis of vibration timelines, running RMS and Fourier spectra are applied. The major part of the dissertation is the analysis of RMS accelerations and velocities in one-third octave frequency bands in 1 to 80 Hz spectrum, and comparison to the background vibration noise, recorded in the same localisation. The different values of time-window observation are applied to analyse the results. The results of long lasting cargo-induced vibrations are less dependent on time-window duration than the results of impulse-induced vibrations. The acceleration and velocity analysis results are compared to the literature data concerning the ground vibration caused by railway transport and mining activity. The paper indicates the possibility to apply unified methodology for vibration analysis caused by both long-lasting sources, as trains and short-lasting ones, as industrial blasts or mine tremors. The results indicate an optimal time window for vibration measurement that would enable to automate vibration monitoring.
A numerical framework for underground structures in layered ground under inclined P-SV waves using stiffness matrix and domain reduction methods
Authors: Yang Yusheng , Yu Haitao , Yuan Yong , Lu Dechun , Huang Qiangbing 
Published: January 2023

AbstractA numerical framework was proposed for the seismic analysis of underground structures in layered ground under inclined P-SV waves. The free-field responses are first obtained using the stiffness matrix method based on plane-wave assumptions. Then, the domain reduction method was employed to reproduce the wavefield in the numerical model of the soil–structure system. The proposed numerical framework was verified by providing comparisons with analytical solutions for cases involving free-field responses of homogeneous ground, layered ground, and pressure-dependent heterogeneous ground, as well as for an example of a soil–structure interaction simulation. Compared with the viscous and viscous-spring boundary methods adopted in previous studies, the proposed framework exhibits the advantage of incorporating oblique incident waves in a nonlinear heterogeneous ground. Numerical results show that SV-waves are more destructive to underground structures than P-waves, and the responses of underground structures are significantly affected by the incident angles.
The $$\mathcal {F}$$-Resolvent Equation and Riesz Projectors for the $$\mathcal {F}$$-Functional Calculus
Authors: Colombo Fabrizio , De Martino Antonino , Sabadini Irene 
Published: January 2023

AbstractThe Fueter-Sce-Qian mapping theorem gives a constructive way to extend holomorphic functions of one complex variable to slice hyperholomorphic functions. By means of the Cauchy formula for slice hyperholomorphic functions it is possible to have a Fueter-Sce-Qian mapping theorem in integral form for n odd. On this theorem it is based the $$ \mathcal {F}$$
F
-functional calculus for n-tuples of commuting operators. It is a functional calculus based on the commutative version of the S spectrum. Furthermore, it is a monogenic functional calculus in the spirit of McIntosh and collaborators. In this paper, inspired by the quaternionic case and some particular Clifford algebras cases, we show a general resolvent equation for the $$ \mathcal {F}$$
F
-functional calculus in the Clifford algebra setting. Moreover, we prove that the $$ \mathcal {F}$$
F
-resolvent equation is the suitable equation to study the Riesz projectors.
Conditions that Enable Successful Participation of Smallholder Tree Growers in Timber Value Chains
Authors: Carias Vega Dora , Page Tony 
Published: January 2023

AbstractRecent research identified twenty conditions that enable the participation of smallholder tree growers in timber value chains. This paper builds on that work. It delves deeper into how and when during the plantation investment cycle these conditions facilitate sustained trade between small-scale timber producers, processors, buyers, and other service providers. It also identifies the stakeholders who are in the best position to influence these conditions. Conditions that affect access to smallholder timber such as biophysical characteristics of the land, characteristics of the plots where trees are planted, and infrastructure have important implications for trading partners. A buyer’s willingness to purchase smallholder timber also depends on timber quality and quantity, and reliability of supply. These are affected by conditions such as the availability of good genetic material, biophysical characteristics of land, and application of the right silvicultural practices. Building a viable value chain involving smallholder tree growers depends on matching the capabilities and aspirations of smallholders with the requirements of processors and buyers. Opportunities for smallholder tree growers to benefit from growing timber demand are on the rise, but successful engagement of small-scale timber producers with these markets will depend on how well all value chain agents connect and understand each other’s needs.
Autophagy Paradox: Strategizing Treatment Modality in Melanoma
Authors: Pangilinan Christian , Xu Xiaowei , Herlyn Meenhard , Liang Chengyu 
Published: January 2023

Opinion statementThe primordial autophagy process, originally identified as a starvation response in baker’s yeast, has since been shown to have a wide spectrum of functions other than survival. In many cases, it is accepted that autophagy operates as a key tumor suppressor mechanism that protects cells from adverse environmental cues by enforcing homeostasis and maintaining the functional and structural integrity of organelles. Paradoxically, heightened states of autophagy are also seen in some cancers, leading to the prevailing view that the pro-survival aspect of autophagy might be hijacked by some tumors to promote their fitness and pathogenesis. Notably, recent studies have revealed a broad range of cell-autonomous autophagy in reshaping tumor microenvironment and maintaining lineage integrity and immune homeostasis, calling for a renewed understanding of autophagy beyond its classical roles in cell survival. Here, we evaluate the increasing body of literature that argues the “double-edged” consequences of autophagy manipulation in cancer therapy, with a particular focus on highly plastic and mutagenic melanoma. We also discuss the caveats that must be considered when evaluating whether autophagy blockade is the effector mechanism of some anti-cancer therapy particularly associated with lysosomotropic agents. If autophagy proteins are to be properly exploited as targets for anticancer drugs, their diverse and complex roles should also be considered.
APOC-III: a Gatekeeper in Controlling Triglyceride Metabolism
Authors: Giammanco Antonina , Spina Rossella , Cefalù Angelo B. , Averna Maurizio 
Published: January 2023

Abstract
Purpose of Review
Apolipoprotein C-III (ApoC-III) is a widely known player in triglyceride metabolism, and it has been recently recognized as a polyhedric factor which may regulate several pathways beyond lipid metabolism by influencing cardiovascular, metabolic, and neurological disease risk. This review summarizes the different functions of ApoC-III and underlines the recent findings related to its multifaceted pathophysiological role.

Recent Findings
The role of ApoC-III has been implicated in HDL metabolism and in the development of atherosclerosis, inflammation, and ER stress in endothelial cells. ApoC-III has been recently considered an important player in insulin resistance mechanisms, lipodystrophy, diabetic dyslipidemia, and postprandial hypertriglyceridemia (PPT). The emerging evidence of the involvement of ApoC-III in the in the pathogenesis of Alzheimer’s disease open the way to further study if modification of ApoC-III level slows disease progression. Furthermore, ApoC-III is clearly linked to cardiovascular disease (CVD) risk, and progression of coronary artery disease (CAD) as well as the calcification of aortic valve and recent clinical trials has pointed out the inhibition of ApoC-III as a promising approach to manage hypertriglyceridemia and prevent CVD.

Summary
Several evidences highlight the role of ApoC-III not only in triglyceride metabolism but also in several cardio-metabolic pathways. Results from recent clinical trials underline that the inhibition of ApoC-III is a promising therapeutical strategy for the management of severe hypertriglyceridemia and in CVD prevention.
Structured programs for the self-management of substance addiction consequences in outpatient services: A scoping review
Authors: Seabra Paulo , Boska Gabriella , Sequeira Rui , Sequeira Ana , Simões Ana , Nunes Inês , Sequeira Carlos 
Published: January 2023

Abstract
Structured intervention programs are an important resource for supporting people with substance addiction. Although evidence suggests that they improve health outcomes, such as specific symptoms, less is known about their impact on patients’ ability to self-manage the consequences of substance addiction. The aim of this review is to scope outpatient intervention programs focused on the self-management of substance addiction consequences. Approach. This review followed the Joanna Briggs Institute (JBI) methodology for scoping reviews. MEDLINE and CINAHL (through Ebsco), Psychology & Behavioral Sciences Collection (including PsycINFO) and Web of Science were screened to identify articles published in the last 10 years. Only primary research was included. Out of 891 records, 19 were eligible for this review—12 randomized controlled trials (RCT), 6 quasi-experimental study and 1 observational study. Those studies reported group interventions (10), individual interventions (8) and 1 mixed approach. The most common interventions were based on motivational strategies, relapse prevention and definition of active plans for risky situations. 10 studies reported positive effects. The identification of structured programs may support the development of new approaches focused on empowerment and quality of life of people with substance addiction. Programs to empower patients for self-management of substance addiction consequences are often complex and rely on health professionals’ commitment. Nevertheless, they are a feasible approach that seems to benefit patients managing chronic conditions associated with substance addiction.
Borehole Log Reconstruction using ANN: A Case Study from KBH-08, Koyna-Warna Region
Authors: Haritha D. , Satyavani N. 
Published: January 2023

Abstract
Well logs provide valuable information about the sub-surface geological formations. Several complications in data recording, like, instrument error, borehole conditions, incomplete logging, etc., often result in data loss which in turn causes difficulties in the interpretation of recorded logs. The present work emphasises on rebuilding the missing logs using artificial neural networks and the technique is applied to reconstruct the missing sonic log from the KBH-08 borehole in the Koyna-Warna region. The generated sonic log shows the fracture zones in the borehole that correlate well with the zones identified from other logs.
Effect of Geological, Mineralogical Characteristics on Grindability of Bauxite: A Case Study of Indian Lateritic Bauxite Deposits
Authors: Bhukte P. G. , Daware G. T. , Masurkar S. P. , Panchal M. S. , Chaddha M. J. 
Published: January 2023

Abstract
Lateritic bauxite are the products of intense sub-aerial weathering of rocks. It is characterized by a particular enrichment of aluminium-hydroxide minerals such as gibbsite, boehmite and diaspore. Bauxite ore is the result of weathering of various parent rocks such as khondalite, Deccan trap basalt, granite gneiss, charnockite, etc. The two types of lateritic bauxite deposits are located in India viz high level and low level (coastal), situated in the regions namely Eastern ghat, Western ghat, central India, Gujarat, and in union territory Jammu. There are distinct geological variations in the mode of occurrence and ore body configuration. The geological, chemico-mineralogical and petrological characteristics are varying in deposits from region to region. The Eastern ghat and west coast bauxite is dominant in gibbsite minerals however, the central Indian bauxite is mixed gibbsitic boehmite and at places diasporic in nature.
For the present study, representative samples of bauxite have been collected from Indian deposits. The samples were characterized for chemical composition, mineralogy and petrography. The bond work index tests have been performed on bauxite samples by standard procedure. The bond work index of ore indicates how much energy is required to grind the ore and it is a very significant property from a plant point of view. The laboratory results show that the eastern ghat bauxite is soft (BWI-10 kwh/mt) as compared to Central Indian bauxite (16 kwh/mt). The studies indicate that the base rock/parent rock, geological formation, mineralogy, etc. play an important role in the hardness of bauxite. In the present paper, details of the Bond work index of various bauxite are specified and factors responsible for the hardness of the ore is being highlighted.
Investigation on Barail Formation Coals of Upper Assam with Reference of Coal Bed Methane (CBM)
Authors: Banik Prasun , Phukan Ranjan , Sarmah Ranjan Kumar , Das Minati 
Published: January 2023

Abstract
Coal is liberally accessible energy resource utilized by mankind for its comfort. Though economical it still has unfavorable impact on the environment. Presently underground coal a source of methane gas confined within the seams known as coal bed methane (CBM) attracts due to its purity and environment friendly. FTIR, UV visible spectroscopy, XRD, solid state NMR are well known spectroscopic instruments used to analyze complex coals chemical structures and its consequences on methane gas source. In the present research virgin coal samples from Barail Formation are examined by FTIR and XRD to assign various functional groups and minerals present separately. Proximate and ultimate analyses are correspondingly conducted to know its organic and inorganic constituents. Results reflect the low moisture content and moderate fixed carbon quantity progresses with depth. FTIR studies uncover presence of aromatic and aliphatic functional sets; prerequisite of hydrocarbons generation. Coal seam at depths of 740-846 m is favorable for economic methane gas production. These are promising pre-requisites of coal to be an unconventional resource. There is abundance of quartz, kaolinite and mon-tmorillonite; traces of pyrite and siderite too are observed from XRD spectral investigation.
Well Hydraulics in Parts of Western Vidarbha Region in Deccan Traps, India
Authors: Mishra Chetan , Toppo Sunil , Naik Pradeep K. , Singh H.P. , Raj Amit 
Published: January 2023

Abstract
Deccan Traps cover about 15% (500,000 sq. km) of India’s landmass, and about 82% of Maharashtra state. They deliver fluctuating hydraulic results due to their disposition as a multilayered aquifer system. The drawdown and recovery data of eight exploratory wells in Akola, Buldhana and Washim districts of western Vidarbha region in Maharashtra state were analyzed to define the aquifer characteristics in basalts. Conventional methods such as those suggested by Theis (1935), Jacob-Cooper (1946), Chow (1952) and Walton (1962) were used to estimate aquifer parameters such as transmissivity (T) and storativity (S). The advantages and limitations of these methods were critically examined from their applicability perspective. Estimated values of T ranged from 7 to 133 m2/day and those of S from 6.05x10-4 to 1.63x10-2, showing poor yields in most parts. In this study, Jacob-Cooper (1945) and Theis recovery (1935) methods were found easy to adopt and yielded rapid results compared to Theis curve matching (1935), Chow (1952) and Walton (1962) methods that typically involve either curve matching or complex computational techniques.