cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A Financial Viability and Relative Profitability of Mango Orcharding in Lucknow District of Uttar Pradesh
Creators: name: Singh, Shyam Prakash
Publisher: name: figshare
Year: 2020
Subjects: subject: 79999 Agricultural and Veterinary Sciences not elsewhere classified
subject: FOS: Other agricultural sciences

description: The existence of the wide range of natural endowment is very much favorable for growing a large array of horticultural crops throughout the country. The country observed a sharper increase in the area of horticultural crops compared to food grains. In the fruit industry, mango stands top in position. Due to perennial nature, the cost and return behavior has been estimated @ 10 percent opportunity cost of capital as like investment appraisal for the interest of development of mango entrepreneurs. The per hectare net present value (NPV), for the entire life period (55 years) of the mango orchard has been found to be ` 600237.34. Benefit-cost ratio is 1.76. The adjusted IRR is also worked out as 19.80 percent, which is sufficiently higher than the opportunity cost of the capital or the rate of interest charged by the financial institutions. The payback period was about 8.2 years. Thus, the evidence reveals that investments in mango orchard are highly profitable, economically feasible and financially viable. To overcome the question of risk and uncertainty in investment over a longer period the usual technique is how sensitive the investment if the cost or return increase/decrease due to economic or other change in the market. Some competing crop performed better in term of benefit-cost ratio, but in terms of average annual net return of ` 36030.60 ha-1 which was evidently higher than that of alternative crops. The mango cultivation is low input intensive as compared to food grain that means fewer requirements of resources for its production. So, we can say mango production is more profitable venture for resource-poor farmers.
Performance of Palm Industry in Karnataka: A Case Study in Tumkur District
Creators: name: M.G. Kerutagi
Publisher: name: figshare
Year: 2020
Subjects: subject: 79999 Agricultural and Veterinary Sciences not elsewhere classified
subject: FOS: Other agricultural sciences

description: The objective of the present study was to analyze the performance of palm industry in Karnataka. The total establishment cost of coconut orchard estimated at ` 1,58,842.82 per acre. The annual cost of cultivation of coconut was ` 55,933.91 per acre. The total cost incurred in copra making from 5,777.65 nuts (a unit from one acre) estimated at ` 69,400.33 and obtained 8.86 quintals of copra. Gross returns obtained from copra making were ` 1,17,265.05. Copra making in the study area is a profitable venture as indicated by B:C ratio (1.68). The study of marketing of copra identified three marketing channels. Producer’s share in consumer’s rupee was highest (75.02%) in channel III (Copra makers - Wholesaler - Retailer –Consumers) than channel I and II and considered as efficient marketing channel in the study area. Majority of the copra makers expressed that drastic climate change lead to decrease in production, fluctuation in price of coconut oil was the major marketing problem. The other problem faced by wholesalers was lack of consistent demand and in case of retailers high cost of transportation was the major problems. The copra manufactured in the study area was of good quality. Hence, efforts should made to export the copra. Government can promote artificial dryer unit under cooperative sector and it can provide financial help to construct proper infrastructure for copra making unit. Creating awareness to encourage online trading for better price realization for producers and better quality is the need of the hour.
MPEC 2024-P70 : 2020 PY4
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2024
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
Sequential Monte-Carlo testing by betting
Creators: name: Fischer, Lasse
name: Ramdas, Aaditya
Publisher: name: arXiv
Year: 2024
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: In a Monte-Carlo test, the observed dataset is fixed, and several resampled or permuted versions of the dataset are generated in order to test a null hypothesis that the original dataset is exchangeable with the resampled/permuted ones. Sequential Monte-Carlo tests aim to save computational resources by generating these additional datasets sequentially one by one, and potentially stopping early. While earlier tests yield valid inference at a particular prespecified stopping rule, our work develops a new anytime-valid Monte-Carlo test that can be continuously monitored, yielding a p-value or e-value at any stopping time possibly not specified in advance. It generalizes the well-known method by Besag and Clifford, allowing it to stop at any time, but also encompasses new sequential Monte-Carlo tests that tend to stop sooner under the null and alternative without compromising power. The core technical advance is the development of new test martingales (nonnegative martingales with initial value one) for testing exchangeability against a very particular alternative. These test martingales are constructed using new and simple betting strategies that smartly bet on whether a generated test statistic is greater or smaller than the observed one. The betting strategies are guided by the derivation of a simple log-optimal betting strategy, have closed form expressions for the wealth process, provable guarantees on resampling risk, and display excellent power in practice.
description: 39 pages, 14 figures
Additional file 3 of United for health to improve urban food environments across five underserved communities: a cross-sector coalition approach
Creators: name: Payán, Denise D.
name: Lewis, LaVonna B.
name: Illum, Jacqueline
name: Hawkins, Breanna
name: Sloane, David C.
Publisher: name: figshare
Year: 2022
Subjects: subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Cancer

description: Additional file 3. Key Participant Interview Script.
Neural Hawkes: Non-Parametric Estimation in High Dimension and Causality Analysis in Cryptocurrency Markets
Creators: name: Fabre, Timothée
name: Toke, Ioane Muni
Publisher: name: arXiv
Year: 2024
Subjects: subject: Trading and Market Microstructure (q-fin.TR)
subject: Mathematical Finance (q-fin.MF)
subject: FOS: Economics and business

description: We propose a novel approach to marked Hawkes kernel inference which we name the moment-based neural Hawkes estimation method. Hawkes processes are fully characterized by their first and second order statistics through a Fredholm integral equation of the second kind. Using recent advances in solving partial differential equations with physics-informed neural networks, we provide a numerical procedure to solve this integral equation in high dimension. Together with an adapted training pipeline, we give a generic set of hyperparameters that produces robust results across a wide range of kernel shapes. We conduct an extensive numerical validation on simulated data. We finally propose two applications of the method to the analysis of the microstructure of cryptocurrency markets. In a first application we extract the influence of volume on the arrival rate of BTC-USD trades and in a second application we analyze the causality relationships and their directions amongst a universe of 15 cryptocurrency pairs in a centralized exchange.
description: Updated with numerical examples on high-dimensional and multimodal kernels as well as and extended empirical results
Cluster parking functions
Creators: name: Douvropoulos, Theo
name: Josuat-Vergès, Matthieu
Publisher: name: arXiv
Year: 2024
Subjects: subject: Combinatorics (math.CO)
subject: Representation Theory (math.RT)
subject: FOS: Mathematics

description: The cluster complex on one hand, parking functions on the other hand, are two combinatorial (po)sets that can be associated to a finite real reflection group. Cluster parking functions are obtained by taking an appropriate fiber product (over noncrossing partitions). There is a natural structure of simplicial complex on these objects, and our main goal is to show that it has the homotopy type of a (pure) wedge of spheres. The unique nonzero homology group (as a representation of the underlying reflection group) is a sign-twisted parking representation, which is the same as Gordon's quotient of diagonal coinvariants. Along the way, we prove some properties of the poset of parking functions. We also provide a long list of remaining open problems.
1): Results of Experiment 1 --- Lack of All Human-Crafted Properties
Creators: name: Compsac
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 461208
subject: Software testing, verification and validation
classificationCode: 461203
subject: Formal methods for software

description: Results of Experiment 1 — Seven New Properties Found, with Three Genuinely New Properties Highlighted
This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.
Lynx D3.9 Information Retrieval and Recommender Services
Creators: name: Khvalchik, Maria
name: Revenko, Artem
name: Sageder, Christian
name: Rodríguez-Doncel, Víctor
name: Calleja-Ibáñez, Pablo
Publisher: name: Zenodo
Year: 2020
Subjects: search service, terminology query, question answering, semantic similarity

description: The Lynx project aims at facilitating cross-border compliance for European enterprises. This requires the gathering of relevant regulations, which enables end-users to find answers to their regulatory related needs with ease. In order to provide such accessible means, the Lynx partners brought together their technical expertise in the fields of Information Extraction, Semantic Web, Knowledge Management, and Document Management, to create an integrated solution. An essential part of the solution provided by Lynx is the automatic analysis of documents in order to facilitate their discovery and retrieval by the end-user. These analyses have three primary objectives: To extract information contained within the documents relevant to user queries. To put documents in context, in terms of relations they hold to other documents. To make documents accessible in different languages. In order to realize these objectives, Work Package 3 serves to develop a series of services that extract various types of information from the documents and store the information in a well-organized, standards-compliant knowledge graph, which we call the Legal Knowledge Graph (LKG). This LKG will contain not only information about these documents but also information extracted from them, as well as general knowledge from the compliance domain, in the form of controlled vocabularies. The services that are reported in this deliverable are what we dubbed “Information Retrieval and Recommender Services”, and include four services: Search, Terminology Query, Question Answering and Semantic Similarity. Search service provides a lookup through all the corpora and retrieves related documents corresponding to a given query. Terminology Query enriches the question with linguistic information from domain dependent vocabularies (terminologies) and domain independent vocabularies (dictionaries) to facilitate efficient searching through corpora. Question Answering takes in a natural language question and returns the most promising answer. Finally, the Semantic Similarity service adds extra knowledge that is useful for the applications mentioned above. All the services have been fully implemented and containerized. Some of these services are the result of ongoing research, and thus this work is already an innovation success.
A Lindley–binomial model for analyzing the proportions with sparseness and excessive zeros
Creators: name: Deng, Dianliang
name: Zhang, Xiaoqing
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Information Systems not elsewhere classified
subject: Mathematical Sciences not elsewhere classified

description: Proportional data arise frequently in a wide variety of fields of study. Such data often exhibit extra variation such as over/under dispersion, sparseness and zero inflation. For example, the hepatitis data present both sparseness and zero inflation with 19 contributing non-zero denominators of 5 or less and with 36 having zero seropositive out of 83 annual age groups. The whitefly data consists of 640 observations with 339 zeros (53%), which demonstrates extra zero inflation. The catheter management data involve excessive zeros with over 60% zeros averagely for outcomes of 193 urinary tract infections, 194 outcomes of catheter blockages and 193 outcomes of catheter displacements. However, the existing models cannot always address such features appropriately. In this paper, a new two-parameter probability distribution called Lindley–binomial (LB) distribution is proposed to analyze the proportional data with such features. The probabilistic properties of the distribution such as moment, moment generating function are derived. The Fisher scoring algorithm and EM algorithm are presented for the computation of estimates of parameters in the proposed LB regression model. The issues on goodness of fit for the LB model are discussed. A limited simulation study is also performed to evaluate the performance of derived EM algorithms for the estimation of parameters in the model with/without covariates. The proposed model is illustrated through three aforementioned proportional datasets.
Testing serial correlation in a general d-factor model with possible infinite variance
Creators: name: Fan, Yawen
name: Liu, Xiaohui
name: Luo, Ting
name: Rao, Yao
name: Li, Hanqing
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Science Policy
subject: Computational Biology

description: It is well-known that the presence of serial correlation may result in an inefficient or even biased estimation in time series analysis. In this paper, we consider testing serial correlation in a general d-factor model when the model errors follow the GARCH process, which is frequently used in modeling financial data. Two empirical likelihood-based testing statistics are suggested as a way to deal with problems that might come up with infinite variance. Both statistics are shown to be chi-squared distributed asymptotically under mild conditions. Simulations confirm the excellent finite-sample performance of both tests. Finally, to emphasize the importance of using our tests, we explore the impact of the exchange rate on the stock return using both monthly and daily data from eight countries.
NiNformer: A Network in Network Transformer with Token Mixing Generated Gating Function
Creators: name: Abdullah, Abdullah Nazhat
name: Aydin, Tarkan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: The attention mechanism is the primary component of the transformer architecture; it has led to significant advancements in deep learning spanning many domains and covering multiple tasks. In computer vision, the attention mechanism was first incorporated in the Vision Transformer ViT, and then its usage has expanded into many tasks in the vision domain, such as classification, segmentation, object detection, and image generation. While the attention mechanism is very expressive and capable, it comes with the disadvantage of being computationally expensive and requiring datasets of considerable size for effective optimization. To address these shortcomings, many designs have been proposed in the literature to reduce the computational burden and alleviate the data size requirements. Examples of such attempts in the vision domain are the MLP-Mixer, the Conv-Mixer, the Perciver-IO, and many more attempts with different sets of advantages and disadvantages. This paper introduces a new computational block as an alternative to the standard ViT block. The newly proposed block reduces the computational requirements by replacing the normal attention layers with a Network in Network structure, therefore enhancing the static approach of the MLP-Mixer with a dynamic learning of element-wise gating function generated by a token mixing process. Extensive experimentation shows that the proposed design provides better performance than the baseline architectures on multiple datasets applied in the image classification task of the vision domain.
description: Neural Comput & Applic (2025)
Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution
Creators: name: Nassar, Mazen
name: Elshahhat, Ahmed
Publisher: name: Taylor & Francis
Year: 2023
Subjects: Medicine
Pharmacology
Biotechnology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Cancer

description: This paper presents an effort to investigate the estimations of the Weibull distribution using an improved adaptive Type-II progressive censoring scheme. This scheme effectively guarantees that the experimental time will not exceed a pre-fixed time. The point and interval estimations using two classical estimation methods, namely maximum likelihood and maximum product of spacing, are considered to estimate the unknown parameters as well as the reliability and hazard rate functions. The approximate confidence intervals of these quantities are obtained based on the asymptotic normality of the maximum likelihood and maximum product of spacing methods. The Bayesian estimations are also considered using MCMC techniques based on the two classical approaches. An extensive simulation study is implemented to compare the performance of the different methods. Further, we propose the use of various optimality criteria to find the optimal sampling scheme. Finally, one real data set is applied to show how the proposed estimators and the optimality criteria work in real-life scenarios. The numerical outcomes demonstrated that the Bayesian estimates using the likelihood and product of spacing functions performed better than the classical estimates.
Wiki-TabNER: Integrating Named Entity Recognition into Wikipedia Tables
Creators: name: Koleva, Aneta
name: Ringsquandl, Martin
name: Hatem, Ahmed
name: Runkler, Thomas
name: Tresp, Volker
Publisher: name: arXiv
Year: 2024
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Interest in solving table interpretation tasks has grown over the years, yet it still relies on existing datasets that may be overly simplified. This is potentially reducing the effectiveness of the dataset for thorough evaluation and failing to accurately represent tables as they appear in the real-world. To enrich the existing benchmark datasets, we extract and annotate a new, more challenging dataset. The proposed Wiki-TabNER dataset features complex tables containing several entities per cell, with named entities labeled using DBpedia classes. This dataset is specifically designed to address named entity recognition (NER) task within tables, but it can also be used as a more challenging dataset for evaluating the entity linking task. In this paper we describe the distinguishing features of the Wiki-TabNER dataset and the labeling process. In addition, we propose a prompting framework for evaluating the new large language models on the within tables NER task. Finally, we perform qualitative analysis to gain insights into the challenges encountered by the models and to understand the limitations of the proposed~dataset.
description: Accepted at SIGIR 2025 conference
3-Preprojective Algebras of Type D
Creators: name: Haden, Jordan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Representation Theory (math.RT)
subject: FOS: Mathematics

description: We present a family of selfinjective algebras of type D, which arise from the 3-preprojective algebras of type A by taking a $\mathbb{Z}_3$-quotient. We show that a subset of these are themselves 3-preprojective algebras, and that the associated 2-representation-finite algebras are fractional Calabi-Yau. In addition, we show our work is connected to modular invariants for SU(3).
description: 31 pages, v3 follows peer review
Potential Grape-Derived Contributions to Volatile Ester Concentrations in Wine
Creators: name: Boss, Paul K.
name: Pearce, Anthony D.
name: Zhao, Yanjia
name: Nicholson, Emily L.
name: Dennis, Eric G.
name: Jeffery, David W.
Publisher: name: Multidisciplinary Digital Publishing Institute
Year: 2019

description: Grape composition affects wine flavour and aroma not only through varietal compounds, but also by influencing the production of volatile compounds by yeast. C₉ and C₁₂ compounds that potentially influence ethyl ester synthesis during fermentation were studied using a model grape juice medium. It was shown that the addition of free fatty acids, their methyl esters or acyl-carnitine and acyl-amino acid conjugates can increase ethyl ester production in fermentations. The stimulation of ethyl ester production above that of the control was apparent when lower concentrations of the C₉ compounds were added to the model musts compared to the C₁₂ compounds. Four amino acids, which are involved in CoA biosynthesis, were also added to model grape juice medium in the absence of pantothenate to test their ability to influence ethyl and acetate ester production. β-Alanine was the only one shown to increase the production of ethyl esters, free fatty acids and acetate esters. The addition of 1 mg∙L-¹ β-alanine was enough to stimulate production of these compounds and addition of up to 100 mg∙L-¹ β-alanine had no greater effect. The endogenous concentrations of β-alanine in fifty Cabernet Sauvignon grape samples exceeded the 1 mg∙L-¹ required for the stimulatory effect on ethyl and acetate ester production observed in this study.
From local spin nematicity to altermagnets: Footprints of band topology
Creators: name: Das, Sanjib Kumar
name: Roy, Bitan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: Altermagnets are crystallographic rotational symmetry breaking spin-ordered states, possessing a net zero magnetization despite manifesting Kramer's non-degenerate bands. Here, we show that momentum-independent local spin nematic orders in monolayer, Bernal bilayer, and rhombohedral trilayer graphene give rise to $p$-wave, $d$-wave, and $f$-wave altermagnets, respectively, thereby inheriting the topology of linear, quadratic and cubic free fermion band dispersions that are also described in terms of angular momentum $\ell=1,\; 2$, and $3$ harmonics in the reciprocal space. The same conclusions also hold inside a spin-triplet nematic superconductor, featuring Majorana altermagnets. Altogether, these findings highlight the importance of electronic band structure in identifying such exotic magnetic orders in quantum materials. We depict the effects of in-plane magnetic fields on altermagnets, and propose spin-disordered alter-valley magnets in these systems.
description: Published version in PRB Letter: 7 Pages and 2 Figures (Supplemental Material as ancillary file)
Compressible quantum liquid with vanishing Drude weight
Creators: name: Abouelkomsan, Ahmed
name: Paul, Nisarga
name: Stern, Ady
name: Fu, Liang
Publisher: name: arXiv
Year: 2024
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We explore the possibility of quantum liquids that are compressible but have vanishing DC conductivity in the absence of disorder. We show that the composite Fermi liquid emerging from strong interaction in a generic Chern band has zero Drude weight, in stark contrast to normal Fermi liquids. Our work establishes the absence of Drude weight as the defining property of the composite Fermi liquid phase, which distinguishes it from the Fermi liquid or other types of non-Fermi liquids. Our findings point to a possibly wide class of gapless quantum phases with unexpected transport and optical properties.
description: 5 + 6, published version
Predicting dichotomised outcomes from high-dimensional data in biomedicine
Creators: name: Rauschenberger, Armin
name: Glaab, Enrico
Publisher: name: Taylor & Francis
Year: 2023
Subjects: Medicine
Pharmacology
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified

description: In many biomedical applications, we are more interested in the predicted probability that a numerical outcome is above a threshold than in the predicted value of the outcome. For example, it might be known that antibody levels above a certain threshold provide immunity against a disease, or a threshold for a disease severity score might reflect conversion from the presymptomatic to the symptomatic disease stage. Accordingly, biomedical researchers often convert numerical to binary outcomes (loss of information) to conduct logistic regression (probabilistic interpretation). We address this bad statistical practice by modelling the binary outcome with logistic regression, modelling the numerical outcome with linear regression, transforming the predicted values from linear regression to predicted probabilities, and combining the predicted probabilities from logistic and linear regression. Analysing high-dimensional simulated and experimental data, namely clinical data for predicting cognitive impairment, we obtain significantly improved predictions of dichotomised outcomes. Thus, the proposed approach effectively combines binary with numerical outcomes to improve binary classification in high-dimensional settings. An implementation is available in the R package cornet on GitHub (https://github.com/rauschenberger/cornet) and CRAN (https://CRAN.R-project.org/package=cornet).
Bounding the rotating wave approximation for coupled harmonic oscillators
Creators: name: Heib, Tim
name: Lageyre, Paul
name: Ferreri, Alessandro
name: Wilhelm, Frank K.
name: Paraoanu, G. S.
name: Burgarth, Daniel
name: Schell, Andreas Wolfgang
name: Bruschi, David Edward
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In this work we study the validity of the rotating wave approximation of an ideal system composed of two harmonic oscillators evolving with a quadratic Hamiltonian and arbitrarily strong interaction. We prove its validity for arbitrary states by bounding the error introduced. We then restrict ourselves to the dynamics of Gaussian states and are able to fully quantify the deviation of arbitrary pure Gaussian states that evolve through different dynamics from a common quantum state. We show that this distance is fully determined by the first and second moments of the statistical distribution of the number of excitations created from the vacuum during an appropriate effective time-evolution. We use these results to completely control the dynamics for this class of states, therefore providing a toolbox to be used in quantum optics and quantum information. Applications and potential physical implementations are also discussed.
description: 37 pages, 7 figures
title: Morphological change of a republican capital : the case of Ankara, Turkey
Creators: name: Boz Günay, Melike
name: Kubat, Aayşe Sema
Publisher: name: University of Strathclyde Publishing
Year: 2022

description: Capital cities have special meanings by their symbolic characters of their countries. Historical periods and planning decisions affect the forming processes of these cities. Ankara, Turkey’s capital city, carries the effects of these critical periods on its urban morphology since the declaration of the republic. This study considers the question of whether the unique areas which give a city the role of being a capital, have continued their characteristic meanings until today or not. By morphological assessing the analysis of a capital city, this research will contribute to understand its special urban structure. Ankara’s main planning periods and its development process are analysed by using two different morphological methods. The Space Syntax model, which provides a quantitative framework for evaluating the changing urban form, is used in the analysis of the city's main planning periods from macro/urban scale. As a result of the Space Syntax analysis, Ankara’s monumental and characteristic urban axis still exists in today. However, the commercial and administrative potential of the formerly formed republican axis lost its importance and replaced by a newly developing western corridor according to the current economic and political demands of the city. Evaluating these findings, in the second phase of the study, the analysis of the changing urban structure is discussed from a micro scale. Typo-morphological approach is enhanced to research the effects of the capital city’s changing process on its special and monumental urban axis from an architectural perspective. The findings of the typo-morphological analysis verify that the symbolic and historical places of the capital Ankara are significantly differentiated or even completely lost today. This study examines a capital city’s changing urban form with two different morphological methods. The importance of analysing cities’ spatial development processes morphologically is emphasized with this research by studying a special capital city from Turkey.
Sort & Slice: A Simple and Superior Alternative to Hash-Based Folding for Extended-Connectivity Fingerprints
Creators: name: Dablander, Markus
name: Hanser, Thierry
name: Lambiotte, Renaud
name: Morris, Garrett M.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Chemical Physics (physics.chem-ph)
subject: Biomolecules (q-bio.BM)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: Extended-connectivity fingerprints (ECFPs) are a ubiquitous tool in current cheminformatics and molecular machine learning, and one of the most prevalent molecular feature extraction techniques used for chemical prediction. Atom features learned by graph neural networks can be aggregated to compound-level representations using a large spectrum of graph pooling methods; in contrast, sets of detected ECFP substructures are by default transformed into bit vectors using only a simple hash-based folding procedure. We introduce a general mathematical framework for the vectorisation of structural fingerprints via a formal operation called substructure pooling that encompasses hash-based folding, algorithmic substructure-selection, and a wide variety of other potential techniques. We go on to describe Sort & Slice, an easy-to-implement and bit-collision-free alternative to hash-based folding for the pooling of ECFP substructures. Sort & Slice first sorts ECFP substructures according to their relative prevalence in a given set of training compounds and then slices away all but the $L$ most frequent substructures which are subsequently used to generate a binary fingerprint of desired length, $L$. We computationally compare the performance of hash-based folding, Sort & Slice, and two advanced supervised substructure-selection schemes (filtering and mutual-information maximisation) for ECFP-based molecular property prediction. Our results indicate that, despite its technical simplicity, Sort & Slice robustly (and at times substantially) outperforms traditional hash-based folding as well as the other investigated methods across prediction tasks, data splitting techniques, machine-learning models and ECFP hyperparameters. We thus recommend that Sort & Slice canonically replace hash-based folding as the default substructure-pooling technique to vectorise ECFPs for supervised molecular machine learning.
description: Submitted to Journal of Cheminformatics
Mooraboolomyces C. P. Hull, A. S. Urquhart & A. Idnurm, gen. nov.
Creators: name: Hull, Caitlin P.
name: Urquhart, Andrew S.
name: Idnurm, Alexander
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Fungi
Mucoromycota
Mucoromycetes
Mucorales
Mucoraceae
Mooraboolomyces

description: Mooraboolomyces C.P. Hull, A.S. Urquhart & A. Idnurm, gen. nov. (Fig. 3)
 MycoBank: MB 851394
 Etymology:— Moorabool (Wadawurrung language) for one of the local councils managing the Brisbane Ranges National Park + myces (Greek) for fungus.
 Type species:— Mooraboolomyces wintlei C.P. Hull, A.S. Urquhart & A. Idnurm.
 Description:— Distinguished by DNA sequence variation with other genera (see information below) because growth in vitro is similar to other genera in the Mucorales, producing abundant mycelia and aerial asexual sporangia.
description: Published as part of Hull, Caitlin P., Urquhart, Andrew S. & Idnurm, Alexander, 2024, Mooraboolomyces wintlei gen. & sp. nov. from Victoria, Australia, pp. 35-41 in Phytotaxa 644 (1) on page 38, DOI: 10.11646/phytotaxa.644.1.5, http://zenodo.org/record/13214523
P-Hologen: An End-to-End Generative Framework for Phase-Only Holograms
Creators: name: Park, JooHyun
name: Jeon, YuJin
name: Kim, HuiYong
name: Baek, SeungHwan
name: Kang, HyeongYeop
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Graphics (cs.GR)
subject: Machine Learning (cs.LG)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Holography stands at the forefront of visual technology, offering immersive, three-dimensional visualizations through the manipulation of light wave amplitude and phase. Although generative models have been extensively explored in the image domain, their application to holograms remains relatively underexplored due to the inherent complexity of phase learning. Exploiting generative models for holograms offers exciting opportunities for advancing innovation and creativity, such as semantic-aware hologram generation and editing. Currently, the most viable approach for utilizing generative models in the hologram domain involves integrating an image-based generative model with an image-to-hologram conversion model, which comes at the cost of increased computational complexity and inefficiency. To tackle this problem, we introduce P-Hologen, the first end-to-end generative framework designed for phase-only holograms (POHs). P-Hologen employs vector quantized variational autoencoders to capture the complex distributions of POHs. It also integrates the angular spectrum method into the training process, constructing latent spaces for complex phase data using strategies from the image processing domain. Extensive experiments demonstrate that P-Hologen achieves superior quality and computational efficiency compared to the existing methods. Furthermore, our model generates high-quality unseen, diverse holographic content from its learned latent space without requiring pre-existing images. Our work paves the way for new applications and methodologies in holographic content creation, opening a new era in the exploration of generative holographic content. The code for our paper is publicly available on https://github.com/james0223/P-Hologen.
Additional file 1 of The molecular biology of the olive fly comes of age
Creators: name: Sagri, Efthimia
name: Reczko, Martin
name: Tsoumani, Konstantina T
name: Gregoriou, Maria-Eleni
name: Harokopos, Vaggelis
name: Mavridou, Anna-Maria
name: Tastsoglou, Spyros
name: Athanasiadis, Konstantinos
name: Ragoussis, Jiannis
name: Mathiopoulos, Kostas D
Publisher: name: figshare
Year: 2022
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional File 1: (DOCX 25 KB)
On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Job Scheduling
Creators: name: Wu, Wenjie
name: Wang, Yiquan
name: Yan, Ge
name: Zhao, Yuming
name: Zhang, Bo
name: Yan, Junchi
Publisher: name: arXiv
Year: 2024
Subjects: subject: Hardware Architecture (cs.AR)
subject: Quantum Physics (quant-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Quantum computing has gained considerable attention, especially after the arrival of the Noisy Intermediate-Scale Quantum (NISQ) era. Quantum processors and cloud services have been made world-wide increasingly available. Unfortunately, jobs on existing quantum processors are often executed in series, and the workload could be heavy to the processor. Typically, one has to wait for hours or even longer to obtain the result of a single quantum job on public quantum cloud due to long queue time. In fact, as the scale grows, the qubit utilization rate of the serial execution mode will further diminish, causing the waste of quantum resources. In this paper, to our best knowledge for the first time, the Quantum Job Scheduling Problem (QJSP) is formulated and introduced, and we accordingly aim to improve the utility efficiency of quantum resources. Specifically, a noise-aware quantum job scheduler (NAQJS) concerning the circuit width, number of measurement shots, and submission time of quantum jobs is proposed to reduce the execution latency. We conduct extensive experiments on a simulated Qiskit noise model, as well as on the Xiaohong (from QuantumCTek) superconducting quantum processor. Numerical results show the effectiveness in both the QPU time and turnaround time.
Additional file 2 of The molecular biology of the olive fly comes of age
Creators: name: Sagri, Efthimia
name: Reczko, Martin
name: Tsoumani, Konstantina T
name: Gregoriou, Maria-Eleni
name: Harokopos, Vaggelis
name: Mavridou, Anna-Maria
name: Tastsoglou, Spyros
name: Athanasiadis, Konstantinos
name: Ragoussis, Jiannis
name: Mathiopoulos, Kostas D
Publisher: name: figshare
Year: 2022
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional File 1: (DOCX 18 KB)
The generalized odd log-logistic-G regression with interval-censored survival data
Creators: name: Vigas, Valdemiro P.
name: Ortega, Edwin M. M.
name: Suzuki, Adriano K.
name: Cordeiro, Gauss M.
name: dos Santos, Paulo C.
Publisher: name: Taylor & Francis
Year: 2023
Subjects: Medicine
Biotechnology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Cancer
Mental Health

description: The article proposes a new regression based on the generalized odd log-logistic family for interval-censored data. The survival times are not observed for this type of data, and the event of interest occurs at some random interval. This family can be used in interval modeling since it generalizes some popular lifetime distributions in addition to its ability to present various forms of the risk function. The estimation of the parameters is addressed by the classical and Bayesian methods. We examine the behavior of the estimates for some sample sizes and censorship percentages. Selection criteria, likelihood ratio tests, residual analysis, and graphical techniques assess the goodness of fit of the fitted models. The usefulness of the proposed models is red shown by means of two real data sets.
Gravitational waves from sub-solar mass primordial black holes
Creators: name: Miller, Andrew L.
Publisher: name: arXiv
Year: 2024
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Gravitational waves from inspiraling sub-solar mass compact objects would provide almost definitive evidence for the existence of primordial black holes. In this chapter, we explain why these exotic objects are interesting candidates for current and future gravitational-wave observatories, and provide detailed explanations of how they are searched for. We describe one method, matched filtering, to search for binaries with masses between $[0.01,1]M_\odot$. Furthermore, since signals from inspiraling planetary- and asteroid-mass mass compact binaries ($[10^{-9},10^{-2}]M_\odot$) would spend hours to years in the detector frequency band, we explain the novel pattern recognition techniques that have been developed to search for them. Finally, we describe extreme mass ratio inspiral (EMRI) systems, and how these will be searched for in future space-based detectors. For all mass regimes, we comment on the prospects for detection.
description: to appear [with updates] in the book "Primordial Black Holes", ed. Chris Byrnes, Gabriele Franciolini, Tomohiro Harada, Paolo Pani, Misao Sasaki; Springer (2024); 23 pages + references, 11 figures, intended to be a pedagogical review of the field. Questions and comments are welcome!
Additional file 1 of A flexible approach for variable selection in large-scale healthcare database studies with missing covariate and outcome data
Creators: name: Lin, Jung-Yi Joyce
name: Hu, Liangyuan
name: Huang, Chuyue
name: Jiayi, Ji
name: Lawrence, Steven
name: Govindarajulu, Usha
Publisher: name: figshare
Year: 2022
Subjects: subject: Statistics
subject: FOS: Mathematics
subject: Artificial Intelligence and Image Processing
subject: FOS: Computer and information sciences

description: Additional file 1 Web-based supplementary materials. Supplementary Section 1. Random Forest based Imputation Algorithm - missForest. Supplementary Section 2. Simulation Setup. Supplementary Section 3. Additional tables (Supplementary Table 1–12) and figures (Supplementary Figure 1–2) for simulation study and case study.
RTP-LX: Can LLMs Evaluate Toxicity in Multilingual Scenarios?
Creators: name: de Wynter, Adrian
name: Watts, Ishaan
name: Wongsangaroonsri, Tua
name: Zhang, Minghui
name: Farra, Noura
name: Altıntoprak, Nektar Ege
name: Baur, Lena
name: Claudet, Samantha
name: Gajdusek, Pavel
name: Gören, Can
name: Gu, Qilong
name: Kaminska, Anna
name: Kaminski, Tomasz
name: Kuo, Ruby
name: Kyuba, Akiko
name: Lee, Jongho
name: Mathur, Kartik
name: Merok, Petter
name: Milovanović, Ivana
name: Paananen, Nani
name: Paananen, Vesa-Matti
name: Pavlenko, Anna
name: Vidal, Bruno Pereira
name: Strika, Luciano
name: Tsao, Yueh
name: Turcato, Davide
name: Vakhno, Oleksandr
name: Velcsov, Judit
name: Vickers, Anna
name: Visser, Stéphanie
name: Widarmanto, Herdyan
name: Zaikin, Andrey
name: Chen, Si-Qing
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computation and Language (cs.CL)
subject: Computers and Society (cs.CY)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Large language models (LLMs) and small language models (SLMs) are being adopted at remarkable speed, although their safety still remains a serious concern. With the advent of multilingual S/LLMs, the question now becomes a matter of scale: can we expand multilingual safety evaluations of these models with the same velocity at which they are deployed? To this end, we introduce RTP-LX, a human-transcreated and human-annotated corpus of toxic prompts and outputs in 28 languages. RTP-LX follows participatory design practices, and a portion of the corpus is especially designed to detect culturally-specific toxic language. We evaluate 10 S/LLMs on their ability to detect toxic content in a culturally-sensitive, multilingual scenario. We find that, although they typically score acceptably in terms of accuracy, they have low agreement with human judges when scoring holistically the toxicity of a prompt; and have difficulty discerning harm in context-dependent scenarios, particularly with subtle-yet-harmful content (e.g. microaggressions, bias). We release this dataset to contribute to further reduce harmful uses of these models and improve their safe deployment.
description: AAAI 2025--camera ready + extended abstract
Additional file 1 of Comprehensive transcriptome analysis of early male and female Bactrocera jarvisi embryos
Creators: name: Morrow, Jennifer L
name: Riegler, Markus
name: Gilchrist, A Stuart
name: Shearman, Deborah CA
name: Frommer, Marianne
Publisher: name: figshare
Year: 2022
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional File 1: PCR conditions and primer sequences used in this research. (PDF 84 KB)
Timber-based agrisilviculture improves financial viability of hardwood plantations : a case study from Panama
Creators: name: Paul, Carola
name: Griess, Verena C.
name: Havardi-Burger, Nirit
name: Weber, Michael
Publisher: name: Springer
Year: 2016

description: Tree plantations are widely considered a sustainable and economically feasible way to foster reforestation of degraded tropical lands. However, the greatest obstacle to their implementation is the 5–10 years period before initial returns through tree harvesting are realized. This study evaluated the feasibility of generating returns in this period by intercropping hardwood plantations with annual crops. In an agroforestry trial established in eastern Panama, the costs and revenues of intercropping five native and one exotic (Tectona grandis) tree species with three different agricultural treatments––maize-beans, pigeon pea and cassava––were assessed. All tree-crop combinations, except those with cassava, generated positive net cash flows during the first years. Over the modeled rotation period of 25 years, the agrisilvicultural systems showed up to 50 % higher net present values (NPV) than pure forestry (given a 6 % interest rate), while most tree-crop combinations exceeded the NPV of pure agriculture. T. grandis intercropped with pigeon pea showed the best economic performance. The NPVs of the agrisilvicultural systems were less sensitive to changes in costs or revenues than either pure forestry or pure agriculture. Accordingly, the final felling value required for intercropping treatments to meet the desired interest rate of 6 % was up to 90 % lower than that for pure forest plantations. This effect was strongest for native tree species, as their slower growth allowed for longer periods of intercropping. Results suggest that intercropping hardwood plantations can be an effective tool for improving financial feasibility of reforestation while providing increased food security in rural areas.