bluuebunny/crossref_metadata_2025_split huggingface dataset:
The performance of domestic dogs (Canis lupus familiaris) on two versions of the object choice task
Authors: Clark Hannah , Leavens David A. 
Published: March 2021

AbstractObject choice task (OCT) studies are widely used to assess the phylogenetic and ontogenetic distribution of the understanding of communicative cues, with this understanding serving as a proxy for the discernment of communicative intentions. Recent reviews have found systematic procedural and methodological differences in studies which compare performances across species on the OCT. One such difference concerns the spatial configuration of the test set-up, specifically the distances between the two containers (inter-object distance) and the subject–experimenter distance. Here, we tested dogs on two versions of the task: a central version in which the containers were in the subjects’ direct line of vision, and a peripheral version in which the position of the containers was distal to the subject. Half of the subjects were tested with a barrier in the testing environment (as nonhuman primates are tested) and the other half without. We found that dogs tested with a barrier performed significantly better in the central version and were more likely to fail to make a choice in the peripheral version. Dogs tested without a barrier showed comparable performance on the two versions. We thus failed to find support for the distraction hypothesis in dogs. We discuss potential explanations for this, highlighting how methodological differences in the presentation of the OCT can influence outcomes in studies using this paradigm.
A primal-dual interior-point algorithm for nonsymmetric exponential-cone optimization
Authors: Dahl Joachim , Andersen Erling D. 
Published: March 2021

AbstractA new primal-dual interior-point algorithm applicable to nonsymmetric conic optimization is proposed. It is a generalization of the famous algorithm suggested by Nesterov and Todd for the symmetric conic case, and uses primal-dual scalings for nonsymmetric cones proposed by Tunçel. We specialize Tunçel’s primal-dual scalings for the important case of 3 dimensional exponential-cones, resulting in a practical algorithm with good numerical performance, on level with standard symmetric cone (e.g., quadratic cone) algorithms. A significant contribution of the paper is a novel higher-order search direction, similar in spirit to a Mehrotra corrector for symmetric cone algorithms. To a large extent, the efficiency of our proposed algorithm can be attributed to this new corrector.
Intensification of Heterogeneous Photocatalytic Reactions Without Efficiency Losses: The Importance of Surface Catalysis
Authors: Bloh Jonathan Z. 
Published: March 2021

AbstractAdvances in LED and photoreactor technology have brought semiconductor photocatalysis to the verge of feasibility of industrial application for the synthesis of value-added chemicals. However, the often observed efficiency losses under intensified illumination conditions still present a great challenge. This perspective discusses the origin of these efficiency losses and what needs to be done to prevent or counteract it and pave the way for efficient, intensified heterogeneous photocatalytic processes. The role of surface catalysis is particularly highlighted as one of the rate-limiting steps.
Graphic Abstract
Rediscovering the Relative Deprivation and Crime Debate: Tracking its Fortunes from Left Realism to the Precariat
Authors: Webber Craig 
Published: March 2021

AbstractThis article revisits the concept of relative deprivation and asks whether it is still useful for criminology. The article traces the way relative deprivation has been used in the past to understand crime and how it has connections to other, more recent, additions to debates on social justice. I argue that relative deprivation has disappeared even in the place that it had become the key explanation for crime—left realism. In so doing, I explore the resurrection of left realism in criminology—what I refer to as “post-millennial left realism”—first, by those who were associated with it originally, and then with Hall and Winlow’s (2015, 2017) shift in emphasis to what they term “ultra-realism.” I maintain that relative deprivation is still a powerful concept for bridging several related areas that should still be central to the concerns of criminology—in part, because it is still a major concern in popular social science and social psychology. Why has it disappeared in criminology? I present an argument that suggests that the absence of certain research methods, such as ethnographic and qualitative or small-scale survey methods, has impoverished our understanding of the lived reality of people experiencing the social transformations of a networked, precarious society. The massive polarization and disruption in politics and social discourse, as well as the worldwide economic, public health, and social transformations (ranging from the #MeToo and Black Lives Matter protests to the COVID-19 global pandemic) have demonstrated the continued relevance and analytical power that relative deprivation, in its elaborated form, brings to questions of crime and justice.
Poverty and economic decision making: a review of scarcity theory
Authors: de Bruijn Ernst-Jan , Antonides Gerrit 
Published: March 2021

AbstractPoverty is associated with a wide range of counterproductive economic behaviors. Scarcity theory proposes that poverty itself induces a scarcity mindset, which subsequently forces the poor into suboptimal decisions and behaviors. The purpose of our work is to provide an integrated, up-to-date, critical review of this theory. To this end, we reviewed the empirical evidence for three fundamental propositions: (1) Poverty leads to attentional focus and neglect causing overborrowing, (2) poverty induces trade-off thinking resulting in more consistent consumption decisions, and (3) poverty reduces mental bandwidth and subsequently increases time discounting and risk aversion. Our findings indicate that the current literature predominantly confirms the first and second proposition, although methodological issues prevent a firm conclusion. Evidence for the third proposition was not conclusive. Additionally, we evaluated the overall status of scarcity theory. Although the theory provides an original, coherent, and parsimonious explanation for the relationship between financial scarcity and economic decision making, the theory does not fully accord with the data and lacks some precision. We conclude that both theoretical and empirical work are needed to build a stronger theory.
Rubber Wear and the Role of Transfer Films on Rubber Friction on Hard Rough Substrates
Authors: Tiwari A. , Miyashita N. , Persson B. N. J. 
Published: March 2021

AbstractWe study the influence of rubber transfer films on the sliding friction between rectangular rubber blocks and a concrete surface. We present experimental results for the friction coefficient for a rubber compound sliding on a concrete surface contaminated by another rubber compound, for two different pairs (A, B) and (C, D) of rubber compounds. For the same rubber compounds, we present theory results which illustrate the relative importance of the viscoelastic and adhesive contribution to the sliding friction. We correlate the calculated rubber friction with the nature of the observed transfer films (or wear processes).
Graphical Abstract
Potato Yield and Yield Components as Affected by Positive Selection During Several Generations of Seed Multiplication in Southwestern Uganda
Authors: Priegnitz Uta , Lommen Willemien J. M. , van der Vlugt René A. A. , Struik Paul C. 
Published: March 2021

AbstractPotato (Solanum tuberosum L.) is an important crop in Uganda but production is low. There is not a well-functioning official seed system and farmers use potato tubers from a previous harvest as seed. This study investigated how effectively the seed technology positive selection enhanced yield and underlying crop characteristics across multiple seasons, compared to the farmers’ selection method. Positive selection is selecting healthy plants during crop growth for harvesting seed potato tubers to be planted in the next season. Farmers’ selection involves selection of seed tubers from the bulk of the ware potato harvest. Positive selection was compared to farmers’ seed selection for up to three seasons in three field trials in different locations in southwestern Uganda using seed lots from different origins. Across all experiments, seasons and seed lots, yields were higher under positive selection than under farmers’ selection. The average yield increase resulting from positive selection was 12%, but yield increases were variable, ranging from − 5.7% to + 36.9%, and in the individual experiments often not significant. These yield increases were due to higher yields per plant, and mostly higher weights per tuber, whereas the numbers of tubers per plant were not significantly different. Experimentation and yield assessment were hampered by a varying number of plants that could not be harvested because plants had to be rogued from the experimental plots because of bacterial wilt (more frequent under farmers’ selection than under positive selection), plants disappeared from the experimental field and sometimes plants did not emerge. Nevertheless, adoption of positive selection should be encouraged due to a higher production and less virus infection of seed tubers in positive selected plants, resulting in a lower degeneration rate of potato seed tubers.
The Effect of Chemical Treatments on the Tuber Dormancy of Hungarian Potato Cultivars
Authors: Esztergályos Ádám , Polgár Zsolt 
Published: March 2021

AbstractThe length of tuber dormancy of potato (Solanum tuberosum L.) is an important property of cultivars, which significantly determines the duration of storage period, the storage conditions, the economy of storage and the earliest time of planting. Potato cultivars can largely differ in the duration of dormancy period. Under temperate climatic conditions, longer dormancy is more advantageous. However, in case of multiple planting within one calendar year or in case of specific needs, it can be necessary to artificially break the dormancy of tubers. In this study, we investigated the effect of chemical treatments on the tuber dormancy of three Hungarian potato cultivars (Balatoni rózsa, Démon, Botond) having different dormancy periods. The experiment was conducted in three consecutive years (growing periods). Treatments were performed using gibberellic acid, benzyl-adenine and Rindite in different concentrations and combinations. Results showed that the treatments largely influenced the length of tuber dormancy. Rindite and its combination with gibberellic acid treatments largely and significantly reduced the dormancy period for all the cultivars in all growing season, with an average 65% reduction (1906 to 669 °C). Treatments had the greatest impact on the cultivar Balatoni rózsa, with an average 33% reduction of dormancy, while they had the least impact on the cultivar Démon, with an average 25% reduction. We did not observe significant relationship between cultivar maturity type and the reduction of tuber dormancy. We found that the weather conditions of growing period influence the duration of dormancy and the efficiency of chemical treatments.
Efficient automated localization of ECoG electrodes in CT images via shape analysis
Authors: Centracchio Jessica , Sarno Antonio , Esposito Daniele , Andreozzi Emilio , Pavone Luigi , Di Gennaro Giancarlo , Bartolo Marcello , Esposito Vincenzo , Morace Roberta , Casciato Sara , Bifulco Paolo 
Published: March 2021

Abstract
Purpose
People with drug-refractory epilepsy are potential candidates for surgery. In many cases, epileptogenic zone localization requires intracranial investigations, e.g., via ElectroCorticoGraphy (ECoG), which uses subdural electrodes to map eloquent areas of large cortical regions. Precise electrodes localization on cortical surface is mandatory to delineate the seizure onset zone. Simple thresholding operations performed on patients’ computed tomography (CT) volumes recognize electrodes but also other metal objects (e.g., wires, stitches), which need to be manually removed. A new automated method based on shape analysis is proposed, which provides substantially improved performances in ECoG electrodes recognition.

Methods
The proposed method was retrospectively tested on 24 CT volumes of subjects with drug-refractory focal epilepsy, presenting a large number (> 1700) of round platinum electrodes. After CT volume thresholding, six geometric features of voxel clusters (volume, symmetry axes lengths, circularity and cylinder similarity) were used to recognize the actual electrodes among all metal objects via a Gaussian support vector machine (G-SVM). The proposed method was further tested on seven CT volumes from a public repository. Simultaneous recognition of depth and ECoG electrodes was also investigated on three additional CT volumes, containing penetrating depth electrodes.

Results
The G-SVM provided a 99.74% mean classification accuracy across all 24 single-patient datasets, as well as on the combined dataset. High accuracies were obtained also on the CT volumes from public repository (98.27% across all patients, 99.68% on combined dataset). An overall accuracy of 99.34% was achieved for the recognition of depth and ECoG electrodes.

Conclusions
The proposed method accomplishes automated ECoG electrodes localization with unprecedented accuracy and can be easily implemented into existing software for preoperative analysis process. The preliminary yet surprisingly good results achieved for the simultaneous depth and ECoG electrodes recognition are encouraging.
Ethical approval n°NCT04479410 by “IRCCS Neuromed” (Pozzilli, Italy), 30th July 2020.
Exploring the Mineralogy at Lonar Crater with Hyperspectral Remote Sensing
Authors: Gore Ranjana , Mishra Abhilasha , Deshmukh Ratnadeep 
Published: March 2021

Abstract
The earth crust is made up of variety of minerals. These minerals are having very significant applications in our day today life. The various studies, characterizing physical, chemical, electrical, structural properties, have been carried out on the Lonar crater for studying mineralogy, surface morphology and geology but has not been done by remote sensing technology. So, the proposed work focused on exploring the mineralogy at the Lonar crater by using high resolution hyperspectral imageries. The spectral reflectance of minerals was characterized by using FieldSpec4 spectroradiometer. The minerals at Lonar crater were explored by performing preprocessing and spectral analysis. The techniques used in the work are Spectral Angle Mapper and Spectral Feature Fitting. The results of the work marked the presence of pigeonite and augite at Lonar crater which indicates that this crater is the result of extrusive volcanic activity. Also, the presence of augite underneath basaltic igneous rocks as the rock type of Lonar crater. The salinity of the Lonar lake is proved by the presence of mirabilite and salt. Thus, the important results of this work are presence of minerals quartz, actinol, jarosite, pigeonite, augite, albite, mirabilite and scolecite. The significance of these minerals related to the crater is discussed here. It also validated the existence of these minerals which were identified through the previous geological, chemical, physical, electrical and magnetic studies and the minerals pyrite, chlorite, richter, illite, limonite, allanite, amphibolite and margarite were also identified.
Geochemical Characteristics of Quartzite in Parts of Paleoproterozoic Dhanjori Group, Singhbhum Craton, Eastern India: Implications for Provenance and Paleoweathering
Authors: Chaudhary Usman Aarif , Alvi Shabber Habib 
Published: March 2021

Abstract
Singhbhum craton preserves the records of sedimentation, magmatism, and tectono-thermal events from Mesoarchaean to Neoproterozoic. The Dhanjori Group (DG), located on the northeast margin of the Singhbhum craton, comprises of a variety of rocks including quartz pebble conglomerate, quartzite, schist, interlayered with mafic to intermediate and rarely acidic lava flows, tuff and agglomerate. Petrography and geochemical characteristics of the Dhanjori quartzite have been undertaken to interpret paleoweathering and provenance characteristics. Studied quartzites are made up of abundant quartz, feldspar, mica, and lithic fragments. With the help of geochemical data, the studied quartzites are classified as quartz-arenites and sub-arkoses. In addition to the A-CN-K plot, various chemical indices such as the chemical index of weathering (CIW), chemical index of alteration (CIA), and plagioclase index of alteration (PIA) indicate moderate to intense chemical weathering of the provenance under semi-humid climatic conditions. Rare earth element (REE) chondrite normalized patterns of the studied samples illustrate enriched light rare earth elements (LREEs) (LaN/SmN = 3.11 – 6.19), depleted heavy rare earth elements (HREEs) (GdN/YbN = 0.35 – 3.12) and negative Eu anomaly (Eu/Eu* = 0.55 - 0.87, ~ 0.68). Such patterns are similar to that of the upper continental crust (UCC). In the discrimination function diagram, studied samples of the Dhanjori Group fall in quartzose sedimentary field. In addition, La/Sc vs. Th/Co and La-Th-Sc diagrams, various ratios like Th/Sc (~0.61), La/Sc (~4.42), Th/Co (~0.03), La/Co (~0.11), and Cr/Th (~141.62) imply a mixed provenance for the studied samples. Hence, it has been inferred that the meta-sediments and orthoamphibolites of the older metamorphic group, Singhbhum granitoid complex, as well as associated Archaean metavolcanic suites, would have acted as the probable source rocks for the studied Dhanjori quartzites.
Not All Doom and Gloom: How Energy-Intensive and Temporally Flexible Data Center Applications May Actually Promote Renewable Energy Sources
Authors: Fridgen Gilbert , Körner Marc-Fabian , Walters Steffen , Weibelzahl Martin 
Published: March 2021

AbstractTo achieve a sustainable energy system, a further increase in electricity generation from renewable energy sources (RES) is imperative. However, the development and implementation of RES entail various challenges, e.g., dealing with grid stability issues due to RES’ intermittency. Correspondingly, increasingly volatile and even negative electricity prices question the economic viability of RES-plants. To address these challenges, this paper analyzes how the integration of an RES-plant and a computationally intensive, energy-consuming data center (DC) can promote investments in RES-plants. An optimization model is developed that calculates the net present value (NPV) of an integrated energy system (IES) comprising an RES-plant and a DC, where the DC may directly consume electricity from the RES-plant. To gain applicable knowledge, this paper evaluates the developed model by means of two use-cases with real-world data, namely AWS computing instances for training Machine Learning algorithms and Bitcoin mining as relevant DC applications. The results illustrate that for both cases the NPV of the IES compared to a stand-alone RES-plant increases, which may lead to a promotion of RES-plants. The evaluation also finds that the IES may be able to provide significant energy flexibility that can be used to stabilize the electricity grid. Finally, the IES may also help to reduce the carbon-footprint of new energy-intensive DC applications by directly consuming electricity from RES-plants.
Boehmite nanopowder recovered from aluminum cans waste as a potential adsorbent for the treatment of oilfield produced water
Authors: Abdelkader Adel , Hussien Basem M. , Fawzy Eman M. , Ibrahim Asma A. 
Published: March 2021

AbstractIn the present study, high surface area boehmite nanopowder was recovered from aluminum cans waste. The sodium aluminate solution was first prepared by dissolving aluminum cans in NaOH solution and then, H2O2 solution was added to precipitate boehmite. The prepared boehmite was characterized by means of X-ray diffraction (XRD), transmission electron microscopy (TEM) and N2 adsorption–desorption techniques. The thermal stability of the boehmite sample was investigated using thermogravimetry (TG) and differential scanning calorimetry (DSC) techniques. The feasibility of using the prepared boehmite powder as a new low-cost adsorbent for the treatment of oilfield produced water was investigated. For comparison, commercial activated carbon was used for the treatment of the produced water under the same conditions. The efficiency of both of boehmite and activated carbon in the treatment of produced water was determined by monitoring the values of a number of pollution indicators [i.e. turbidity, sulfides, sulfates, total organic carbon (TOC), total petroleum hydrocarbon (TPH), and chemical oxygen demand (COD)] before and after the treatment. The boehmite powder showed very good efficiency in the treatment of the produced water, which is very close to that of commercial activated carbon under the same conditions. The effect of adsorbent dose, treatment time, and pH of the media on the adsorption efficiency of both of boehmite and activated carbon was examined at room temperature using chemical oxygen demand as a pollution indicator. The maximum capacity for COD reduction was 69.6% for boehmite and 83.5% for activated carbon at 40 g/l adsorbent dosage, pH7, and 24-h contact time.
Graphic abstract
On the behaviour of analytic representation of the generalized Pascal snail
Authors: Kanas S. , Masih V. S. 
Published: March 2021

AbstractWe find an unifying approach to the analytic representation of the domain bounded by a generalized Pascal snail. Special cases as the Pascal snail, Both leminiscate, conchoid of the Sluze and a disc are included. The behaviour of functions related to generalized Pascal snail is studied.
Influence of a 12-week physical activity program on leptin resistance in metabolic syndrome: a preliminary study
Authors: Anche Parameshwar , Maiya G. Arun , Kamath Shobha Ullas , Shastry B. Ananthakrishna 
Published: March 2021

AbstractPurposeMetabolic syndrome is a condition with clustering of risk factors like insulin resistance, obesity, dyslipidemia, and hypertension. Leptin is a protein of obese gene produced by white adipose tissue. Leptin resistance is the insensitivity of leptin in hypothalamus despite high amounts in blood causing obesity and metabolic syndrome. The study focused on the influence of a 12-week physical activity promotion program on leptin resistance in people with metabolic syndromeMethodsAfter approval from institutional ethics committee (IEC 343-2018), 18 participants (malesN= 4, femalesN=14) of age group 45.0±7.6 years with metabolic syndrome according to (NCEP ATP-III) criteria were included in the study. The participants underwent a 12-week physical activity program consisting of 150 min of moderate to vigorous activity per week as per GPAQ domains—work, transport, and recreation. The outcomes were measured at baseline and after 12 weeks.ResultsOut of 18 participants, 10 participants who completed the study were analysed. Twelve-week physical activity showed significant changes in waist circumference (p=0.047), post prandial blood glucose (p=0.0396), triglycerides (p=0.0323), body mass index (p=0.0056), subcutaneous fat (p=0.0354), and basal metabolic rate (p=0.0035). Fasting blood glucose (p=0.254), lipid profiles (total cholesterol (p=0.062)), high-density lipoprotein (p=0.367), low-density lipoprotein (p=0.641), and leptin showed insignificant change (p=0.328). Global physical activity questionnaire showed significant change (p=0.0254) suggesting changes in physical activity behaviors.ConclusionFrom present study, it is concluded that a 12-week physical activity promotion program brought marginal changes in leptin levels and has potential to modify metabolic syndrome parameters and improve physical activity.