cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Camponotus somalinus André, 1887, nov. sp.
Creators: name: André, E
Publisher: name: Zenodo
Year: 1887
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Formicidae
Camponotus
Camponotus somalinus

description: Camponotus somalinus nov. sp. Ouvrière: Entièrement noire, tibias, tarses et. funicnle des antennes plus ou.moins rougeâtres. Mandibules très finement ridées, assez luisantes, marquées de quelques gros points épars et armées de six dents. Tête large et fortement échanerée en arrière chez l’ouvrière major, plus étroite, ovale et peu échancrée chez l’ouvrière minor. Épistome fortement caréné en son milieu et avancé en un lobe qui est à peu près rectangulaire chez l’ouvrière minor, tandis qu’il est excavé latéralement chez l’ouvrière major, de façon à former deux fortes dents de chaque côté de son bord antérieur. Chez les plus grandes ouvrières, trois fossettes assez profondes marquent la place des ocelles. Thorax très semblable pour la forme à celui du C. compressus Fab., mais un peu moins court; il est assez élroit, plus large en avant qu’en arrière; son proül dorsal est assez régulièrement arqué, avec une dépression à peine sensible entre le mesonotum et le metanotum. Transversalement, il est arrondi, sans limite entre sa face dorsale et ses faces latérales. Écaille épaisse, ovale, beaucoup plus convexe en avant qu’en arrière, assez amincie au sommet. Chez l’ouvrière minor elle est plus allongée et plus étroite. Pattes assez longues, tibias très comprimés, mais non prismatiques, leur tranche externe tout à fait arrondie et non sillonnée. Corps mat. Tête et thorax finement et très densément; ponctués comme un dé à coudre, abdomen avec un reflet soyeux produit par son mode de ciselure, c'est-à-dire par des rides transversales très fines et très serrées, interrompues par des lignes sinueuses, irrégulières et très rapprochées, qui donnent à l’ensemble de la sculpture une apparence réticulée. Tout le corps parsemé d’une pubescence blanchâtre, extrêmement courte, très fine et très éparse; on remarque en outre quelques soies dressées, un peu plus abondantes à l’extrémité et en dessous de l’abdomen; scapes sans pilosité; tibias avec quelques poils courts et très obliques. - Long., 12-15 mill. Pays des Somalis (Afrique orientale). Cette espèce paraît se rapprocher beaucoup du C. egregius Sm. et de sa race Gonidi Fore], qui me sont inconnus en nature, mais elle s’en distingue facilement par ses tibias non prismatiques ni sillonnés et par la sculpture différente de son abdomen.
description: Published as part of André, E, 1887, Description de quelques fourmis nouvelles ou imparfaitement connues., pp. 280-298 in Revue d'Entomologie (Caen) 6 on pages 280-281
DYNAMIC FOR QUALITY FUNCTION DEPLOYMENT TOOL OF EDUCATION (
Creators: name: Freitas, Maria Do Carmo Duarte
name: Odorczyk, Ricardo Siebenrok
Publisher: name: figshare
Year: 2015
Subjects: Economics
Education

description: Corporate competitiveness that the globalized world installed in society in the early twenty-first century requires companies increasingly focus on differences in their services and products in order to earn a larger share of the market customers. To make it possible to capture the voice of the customer in a proper way, one of the most used tools in the market is the Quality Function Deployment (Quality Function Deployment - QFD). However, this tool is complex to use. In order to facilitate learning and understanding for the application of this tool, this article proposes a dynamic teaching. To promote this facilitation in teaching, a fictional situation allows interested in learning about applying it in practice tool within the classroom in a fun, simple and effective way, assisting in the assimilation of the content on the QFD. The proposal has been applied and validated in a group of Information Management course in the discipline of Information Products and Services at UFPR (Federal University of Parana). The dynamics presented positive results on the participation of the students and their cognition about the topic, which make it a valid strategy for future teaching applications, both in academia and in the corporate world.
Policy-based automation of SLA establishment for cloud computing services
Creators: name: Baruwal Chhetri, Mohan
name: Vo, Bao Quoc
name: Kowalczyk, Ryszard
Publisher: name: Swinburne
Year: 2024
Subjects: classificationCode: 460206
subject: Knowledge representation and reasoning
classificationCode: 460299
subject: Artificial intelligence not elsewhere classified

description: We propose a policy-based framework for the automated establishment of SLAs for cloud computing services. The proposed framework supports multiple interaction models for SLA establishment giving consumers and providers the flexibility to choose ooe that is most appropriate in a given context, while simultaneously supporting multiple concurrent SLA interactions using different interaction models. We describe the underlying policies, focussing on the key features and contributions of the framework. We also validate our framework through a real-world use-case scenario using the Amazon EC2 service.
Calibration of the Scintillator Surface Detector of AugerPrime
Creators: name: Collaboration, Pierre Auger
name: Filip, Paul
Publisher: name: Scuola Internazionale Superiore di Studi Avanzati (SISSA)
Year: 2025

description: We present the methods used to calibrate the Surface Scintillator Detector of the Pierre Auger
Observatory. We describe how to obtain an accurate calibration of the scintillator by examining
peak and charge distributions of atmospheric muons. This is done whenever an extensive air
shower event measured by the Surface Detector is reconstructed. We also describe the work
towards an algorithm that uses a rate-based approach to calibrate the Surface Scintillator Detectors
independently.
AutoSLAM -- A Policy-Driven Middleware for Automated SLA Establishment in SOA Environments
Creators: name: Baruwal Chhetri, Mohan
name: Vo, Bao Quoc
name: Kowalczyk, Ryszard
Publisher: name: Swinburne
Year: 2024
Subjects: classificationCode: 460206
subject: Knowledge representation and reasoning
classificationCode: 460299
subject: Artificial intelligence not elsewhere classified

description: AutoSLAM (Automated SLA Management) is a policy-based framework for the automated establishment of Service Level Agreements (SLAs) in open, diverse and dynamic Service Oriented Architecture (SOA) environments. The novelty of our framework lies in the support for multiple SLA interaction models, giving service consumers and providers the flexibility to choose the one that is most appropriate in a given context, while simultaneously participating in multiple concurrent SLA interactions using different interaction models. As part of the framework, we present an overview of the reference architecture for the AutoSLAM middleware. We also present WS-SLAM, a domain-independent policy representation language that we have developed by extending the WS-Policy specification language. We validate our framework through a proof-of-concept prototype implementation for purchasing computing resources on Amazon EC2 under different contexts.
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
Creators: name: Mantri, Krishna Sri Ipsit
Publisher: name: Purdue University Graduate School
Year: 2025
Subjects: classificationCode: 461103
subject: Deep learning
classificationCode: 461104
subject: Neural networks

description: In this paper, we propose a novel activation function tailored specifically for graph data in Graph Neural Networks (GNNs). Motivated by the need for graph-adaptive and flexible activation functions, we introduce \ourmethod, leveraging Continuous Piecewise-Affine Based (CPAB) transformations, which we augment with an additional GNN to learn a graph-adaptive diffeomorphic activation function in an end-to-end manner. In addition to its graph-adaptivity and flexibility, DiGRAF also possesses properties that are widely recognized as desirable for activation functions, such as differentiability, boundedness within the domain, and computational efficiency. We conduct an extensive set of experiments across diverse datasets and tasks, demonstrating a consistent and superior performance of DiGRAF compared to traditional and graph-specific activation functions, highlighting its effectiveness as an activation function for GNNs. Our code is available at \url{https://github.com/ipsitmantri/DiGRAF}.
SMR: State Memory Replay for Long Sequence Modeling
Creators: name: Qi, Biqing
name: Gao, Junqi
name: Zhang, Kaiyan
name: Li, Dong
name: Liu, Jianxing
name: Wu, Ligang
name: Zhou, Bowen
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Despite the promising performance of state space models (SSMs) in long sequence modeling, limitations still exist. Advanced SSMs like S5 and S6 (Mamba) in addressing non-uniform sampling, their recursive structures impede efficient SSM computation via convolution. To overcome compatibility limitations in parallel convolutional computation, this paper proposes a novel non-recursive non-uniform sample processing strategy. Theoretical analysis of SSMs through the lens of Event-Triggered Control (ETC) theory reveals the Non-Stable State (NSS) problem, where deviations from sampling point requirements lead to error transmission and accumulation, causing the divergence of the SSM's hidden state. Our analysis further reveals that adjustments of input sequences with early memories can mitigate the NSS problem, achieving Sampling Step Adaptation (SSA). Building on this insight, we introduce a simple yet effective plug-and-play mechanism, State Memory Replay (SMR), which utilizes learnable memories to adjust the current state with multi-step information for generalization at sampling points different from those in the training data. This enables SSMs to stably model varying sampling points. Experiments on long-range modeling tasks in autoregressive language modeling and Long Range Arena demonstrate the general effectiveness of the SMR mechanism for a series of SSM models.
Python e MySQL
Creators: name: Bortolotto, Marcelo
name: Cesar, Roney
Publisher: name: Zenodo
Year: 2024

description: CONEXÃO PYTHON COM BANCO DE DADOS MYSQL

Criadores

Bortolotto, Marcelo 1

 

César, Roney 1

Mostrar afiliações

Descrição

 

Este trabalho consiste em uma  breve pesquisa sobre a integração entre Python e MySQL , dois pilares fundamentais no desenvolvimento de software atualmente.

O MySQL , um dos sistemas de gerenciamento de banco de dados mais populares, é conhecido por sua confiabilidade e escalabilidade, enquanto Python , uma linguagem de programação de alto nível, é amplamente preferido por sua simplicidade e vasta comunidade de desenvolvedores.

A integração entre MySQL e Python oferece uma solução poderosa para aplicações que exigem eficiência no armazenamento e manipulação de dados. O " MySQL Connect " fornece uma interface amigável para interagir com o MySQL, simplificando o desenvolvimento de aplicações eficientes.

 

 

Outro (Português)

Além de fornecer eficiência no armazenamento e manipulação de dados, a integração entre MySQL e Python também oferece flexibilidade e agilidade no desenvolvimento de software. Com o " MySQL Connector ", os desenvolvedores podem aproveitar ao máximo os recursos de ambos os sistemas, criando soluções personalizadas e adaptáveis às necessidades específicas de cada projeto. Essa combinação poderosa não apenas simplifica o processo de desenvolvimento, mas também contribui para a criação de aplicações robustas e escaláveis que impulsionam o sucesso das empresas em um ambiente cada vez mais competitivo.
LAPORAN PKL ZOOLOGI VERTEBRATA KELOMPOK 6
Creators: name: Siti Nor Khalisah
Publisher: name: Zenodo
Year: 2020

description: Assalamu'alaikum Wr. Wb Ibu. Kami dari kelompok 6, ini laporan PKL Zoover dari kelompok kami Bu. Bu kami mengirim file nya ada pdf dan word, kalau cuma word aja takutnya hancur susunan nya hehe. Mohon maaf Bu jika ada kesalahan dan kekurangan nya. Terima kasih banyak Ibu.
SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison
Creators: name: Cenikj, Gjorgjina
name: Lang, Ryan Dieter
name: Engelbrecht, Andries Petrus
name: Doerr, Carola
name: Korošec, Peter
name: Eftimov, Tome
Publisher: name: arXiv
Year: 2022
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences

description: Fair algorithm evaluation is conditioned on the existence of high-quality benchmark datasets that are non-redundant and are representative of typical optimization scenarios. In this paper, we evaluate three heuristics for selecting diverse problem instances which should be involved in the comparison of optimization algorithms in order to ensure robust statistical algorithm performance analysis. The first approach employs clustering to identify similar groups of problem instances and subsequent sampling from each cluster to construct new benchmarks, while the other two approaches use graph algorithms for identifying dominating and maximal independent sets of nodes. We demonstrate the applicability of the proposed heuristics by performing a statistical performance analysis of five portfolios consisting of three optimization algorithms on five of the most commonly used optimization benchmarks. The results indicate that the statistical analyses of the algorithms' performance, conducted on each benchmark separately, produce conflicting outcomes, which can be used to give a false indication of the superiority of one algorithm over another. On the other hand, when the analysis is conducted on the problem instances selected with the proposed heuristics, which uniformly cover the problem landscape, the statistical outcomes are robust and consistent.
description: 10 pages, 6 figures
O ENSINO DA FERRAMENTA DESDOBRAMENTO DA FUNÇÃO QUALIDADE (QFD)
Creators: name: Freitas, Maria Do Carmo Duarte
name: Odorczyk, Ricardo Siebenrok
name: Malacarne, Rosane
Publisher: name: figshare
Year: 2015
Subjects: Education

description: O ensino em engenharia pode ser um desafio quando se trata de propiciar aos alunos um ambiente realmente favorável para a aprendizagem e cognição sobre os conteúdos dados em sala de aula, principalmente quando são abordados tópicos de alta complexidade. O Desdobramento da Função Qualidade (Quality Function Deployment - QFD).uma ferramenta utilizada nas indústrias para alcançar vantagens competitiva que o mundo globalizado exige, se enquadra como um conteúdo de alta complexidade para sua assimilação. Para tornar eficaz o processo de aprendizagem sobre o QFD, este artigo propôs, aplicou e validou um método para o ensino dessa ferramenta por meio de uma dinâmica de ensino.A atividade permitiu que os alunos pudessem aplicar a ferramenta em uma situação fictícia, remetendo à prática, possibilitando à eles discutir e analisar criticamente sua aplicação, assimilando mais efetivamente os conteúdos relacionados ao QFD. O experimento mostrou-se positivo, através dos feedbacks recebidos e pelo valor agregado ao conhecimento dos alunos, mostrando-se capaz de responder a problemática levantada, e podendo ser repetido tanto em sala de aula, como em treinamentos corporativos.
title: The Hydrogeology and Leachate Generation of an Alum Sludge Lagoon Chesapeake Virginia
Creators: name: Darling, Charles M.
Publisher: name: Old Dominion University
publisherIdentifier: https://ror.org/04zjtrb98
publisherIdentifierScheme: ROR
Year: 1990

description: In 1986 the City of Chesapeake, Virginia began to dig shallow ponds ("lagoons") to contain alum sludge, a waste generated by the City from the process of treating potable water. Borings at the disposal site reveal that the near-surface geologic units include a thin mud-rich facies which overlies a thick sandy facies, both of which are in the Lynnhaven Member of the Tabb Formation. At 7 meters depth, a clay-rich facies of the Yorktown Formation (Morgarts Beach Member?) underlies the sandy water table aquifer. Water levels from twenty observation wells and two monitoring wells installed into the water table aquifer were measured from 22 May 1987 to 8 February 1988. Analyses of data from a twenty-one hour pumping test conducted on the water table aquifer indicate an average transmissivity of 38.2 m2/day and an average hydraulic conductivity of 7.3 m/day. The distribution and variation over time of measured heads suggest groundwater flows northeast approximately 3 to 4 cm/day (9 to 16 m/yr) beneath the study site. Thus groundwater from beneath the eastern-most lagoon will take approximately 38 to 68 years to reach and discharge into Indian Creek.

Analyses for dissolved aluminum, calcium, potassium, sodium, sulfate, chloride, and pH in water samples collected from two lagoons and one well demonstrate that sulfate exists in greater concentrations in the lagoon leachate than in the ambient groundwater. Leachate generated with the batch extract method from a sample of alum sludge contained (in decreasing order of concentration) sulfate, calcium, chloride, sodium, potassium, and aluminum. Soil sorption experiments reveal that sediments at the site have a high adsorptive capacity for the concentrations of these ions found in the waste lagoons. Calcium was most readily adsorbed followed by sulfate, sodium, and potassium. Chloride did not adsorb to the sediments
Research Status of Deep Learning Methods for Rumor Detection
Creators: name: Tan, Li
name: Wang, Ge
name: Jia, Feiyang
name: Lian, Xiaofeng
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: To manage the rumors in social media to reduce the harm of rumors in society. Many studies used methods of deep learning to detect rumors in open networks. To comprehensively sort out the research status of rumor detection from multiple perspectives, this paper analyzes the highly focused work from three perspectives: Feature Selection, Model Structure, and Research Methods. From the perspective of feature selection, we divide methods into content feature, social feature, and propagation structure feature of the rumors. Then, this work divides deep learning models of rumor detection into CNN, RNN, GNN, Transformer based on the model structure, which is convenient for comparison. Besides, this work summarizes 30 works into 7 rumor detection methods such as propagation trees, adversarial learning, cross-domain methods, multi-task learning, unsupervised and semi-supervised methods, based knowledge graph, and other methods for the first time. And compare the advantages of different methods to detect rumors. In addition, this review enumerate datasets available and discusses the potential issues and future work to help researchers advance the development of field.
description: Accepted by MTAP
MathPartner Computer Algebra
Creators: name: Malaschonok, Gennadi
Publisher: name: arXiv
Year: 2022
Subjects: subject: Symbolic Computation (cs.SC)
subject: FOS: Computer and information sciences
subject: I.1.4
subject: 68W30

description: In this paper, we describe general characteristics of the MathPartner computer algebra system (CAS) and Mathpar programming language thereof. MathPartner can be used for scientific and engineering calculations, as well as in high schools and universities. It allows one to carry out both simple calculations (acting as a scientific calculator) and complex calculations with large-scale mathematical objects. Mathpar is a procedural language; it supports a large number of elementary and special functions, as well as matrix and polynomial operators. This service allows one to build function images and animate them. MathPartner also makes it possible to solve some symbolic computation problems on supercomputers with distributed memory. We highlight main differences of MathPartner from other CASs and describe the Mathpar language along with the user service provided.
description: 9 pages
Se prendere un taxi a Londra configura un aiuto di stato. Sulla legittimità di escludere dalle corsie preferenziali i veicoli a noleggio con conducente (note a margine della sentenza Corte di Giustizia Europea, Eventech Ltd c. The Parking Adjudicator, 14 gennaio 2015)
Creators: name: Gastaldo, Valentina
Publisher: name: figshare
Year: 2015
Subjects: subject: Law
subject: FOS: Law

description: SOMMARIO: 1. Il caso. – 2. Il servizio taxi nella città di Londra.- 3. Il procedimento dinanzi alla High Court of Justice e alla Court of Appeal. –4. Sulle questioni pregiudiziali. – 5. I principi di diritto.– 6. La nozione di aiuti di Stato nell’ordinamento comunitario. – 7. Il servizio di no-leggio di veicoli con conducente all’interno dei paesi dell’Unione Europea.– 8. Alcune brevi considerazioni conclusive per una rilettura critica della sentenza.
14. Se prendere un taxi a Londra configura un aiuto di stato. Sulla legittimità di escludere dalle corsie preferenziali i veicoli a noleggio con conducente (note a margine della sentenza Corte di Giustizia Europea, Eventech Ltd c. The Parking Adjudicator,
Creators: name: Gastaldo, Valentina
Publisher: name: figshare
Year: 2015
Subjects: subject: Law
subject: FOS: Law

description: SOMMARIO: 1. Il caso. – 2. Il servizio taxi nella città di Londra.- 3. Il procedimento dinanzi alla High Court of Justice e alla Court of Appeal. –4. Sulle questioni pregiudiziali. – 5. I principi di diritto.– 6. La nozione di aiuti di Stato nell’ordinamento comunitario. – 7. Il servizio di no-leggio di veicoli con conducente all’interno dei paesi dell’Unione Europea.– 8. Alcune brevi considerazioni conclusive per una rilettura critica della sentenza.
Effect of some abiotic factors on the concentration of β- sitosterol of Prunus Africana (Hook.f.) Kalkman in the tropical forests of Cameroon
Creators: name: Iqbal, Zahid
Publisher: name: figshare
Year: 2015
Subjects: subject: Botany
subject: Soil Science
subject: Environmental Science
subject: Genetics
subject: FOS: Biological sciences
subject: Education

description: Prunus africana is a medicinal plant which develops in the mountains of several African countries. β-sitosterol can be used as a
marker for the control of the product quality of the aforementioned plant in terms of phytotherapy. Farmers and public
authorities do not have information on the influence of altitude and chemical characteristics of soils on the concentration of β-
sitosterol of P. africana. To contribute to solve the problem, this research, carried out in Cameroon, aims to appreciate the
effect of abiotic factors on the above phenotypic character. In nine composite samples of barks taken at different altitudes, the
concentration of β-sitosterol is appreciated via qualitative analyses by Thin Layer Chromatography, High Performance Liquid
Chromatography and quantitative analyses by Gas Chromatography coupled with the Mass Spectrometry. The chemical
analyses of soils taken under the stems of the aforementioned trees were made. The statistics were carried out using the SAS
software. The concentration of β-sitosterol in each population of P. africana varies from zero to 38.65 μg/ml. There is
variability between the averages of the aforementioned concentration with respect to altitude and chemical elements of the soils
but the differences are not significant. The Ascending Hierarchical Clustering distributes populations into three groups. These
tools obtained are indispensable for the ground management, the products exploited from this tree species and the production
of seeds for creating forest and agro-forest plantations.
Wavefront Threading Enables Effective High-Level Synthesis
Creators: name: Pelton, Blake
name: Sapek, Adam
name: Eguro, Ken
name: Lo, Daniel
name: Forin, Alessandro
name: Humphrey, Matt
name: Xi, Jinwen
name: Cox, David
name: Karandikar, Rajas
name: Licht, Johannes de Fine
name: Babin, Evgeny
name: Caulfield, Adrian
name: Burger, Doug
Publisher: name: arXiv
Year: 2024
Subjects: subject: Programming Languages (cs.PL)
subject: FOS: Computer and information sciences

description: Digital systems are growing in importance and computing hardware is growing more heterogeneous. Hardware design, however, remains laborious and expensive, in part due to the limitations of conventional hardware description languages (HDLs) like VHDL and Verilog. A longstanding research goal has been programming hardware like software, with high-level languages that can generate efficient hardware designs. This paper describes Kanagawa, a language that takes a new approach to combine the programmer productivity benefits of traditional High-Level Synthesis (HLS) approaches with the expressibility and hardware efficiency of Register-Transfer Level (RTL) design. The language's concise syntax, matched with a hardware design-friendly execution model, permits a relatively simple toolchain to map high-level code into efficient hardware implementations.
description: Accepted to PLDI'24
Relevance Models Based on the Knowledge Gap
Creators: name: Ghafourian, Yasin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: Search systems are increasingly used for gaining knowledge through accessing relevant resources from a vast volume of content. However, search systems provide only limited support to users in knowledge acquisition contexts. Specifically, they do not fully consider the knowledge gap which we define as the gap existing between what the user knows and what the user intends to learn. The effects of considering the knowledge gap for knowledge acquisition tasks remain largely unexplored in search systems. We propose to model and incorporate the knowledge gap into search algorithms. We plan to explore to what extent the incorporation of the knowledge gap leads to an improvement in the performance of search systems in knowledge acquisition tasks. Furthermore, we aim to investigate and design a metric for the evaluation of the search systems' performance in the context of knowledge acquisition tasks.
description: Accepted in ECIR 2022
Gauge-invariant formulation for the gravitational wave equations
Creators: name: Harada, Junpei
Publisher: name: arXiv
Year: 2024
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: A gauge-invariant formulation for the gravitational wave equations is presented. Using this approach, weak, plane wave solutions in a vacuum are derived in various theories. These include general relativity with two modes of polarization with helicity $\pm 2$, Yang's theory with three modes of polarization with helicity $\pm 2$ and $0$, and so-called "general metric theories" with six modes of polarization with helicity $\pm 2$, $\pm 1$, and two $0$'s. To identify the polarizations of gravitational waves, it is explicitly demonstrated how the gauge-invariant approach reproduces the earlier results.
description: 9 pages, no figures, accepted for publication in CQG
Supply chain approaches to support crop diversification for mitigating risk and conserving resources
Creators: name: Schipanski, Meagan
Publisher: name: Zenodo
Year: 2020
Subjects: food systems
agroecosystem
biodiversity

description: Summary: Crop diversification can enhance the capacity of farm systems to mitigate risk associated with increasing climate and market volatility. For example, diversification can enhance water use efficiency, productivity, soil conservation and nutrient cycling in water-limited regions. While there are many systemic barriers to diversification, we are collaborating with urban communities to inform food policy and strategic investments to support diverse cropping systems and build resilient food systems.
Which Discriminator for Cooperative Text Generation?
Creators: name: Chaffin, Antoine
name: Scialom, Thomas
name: Lamprier, Sylvain
name: Staiano, Jacopo
name: Piwowarski, Benjamin
name: Kijak, Ewa
name: Claveau, Vincent
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Language models generate texts by successively predicting probability distributions for next tokens given past ones. A growing field of interest tries to leverage external information in the decoding process so that the generated texts have desired properties, such as being more natural, non toxic, faithful, or having a specific writing style. A solution is to use a classifier at each generation step, resulting in a cooperative environment where the classifier guides the decoding of the language model distribution towards relevant texts for the task at hand. In this paper, we examine three families of (transformer-based) discriminators for this specific task of cooperative decoding: bidirectional, left-to-right and generative ones. We evaluate the pros and cons of these different types of discriminators for cooperative generation, exploring respective accuracy on classification tasks along with their impact on the resulting sample quality and computational performances. We also provide the code of a batched implementation of the powerful cooperative decoding strategy used for our experiments, the Monte Carlo Tree Search, working with each discriminator for Natural Language Generation.
description: 6 pages, 2 figures, accepted to SIGIR 2022
Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks
Creators: name: Kitada, Shunsuke
name: Iyatomi, Hitoshi
name: Seki, Yoshifumi
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Retrieval (cs.IR)
subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Discontinuing ad creatives at an appropriate time is one of the most important ad operations that can have a significant impact on sales. Such operational support for ineffective ads has been less explored than that for effective ads. After pre-analyzing 1,000,000 real-world ad creatives, we found that there are two types of discontinuation: short-term (i.e., cut-out) and long-term (i.e., wear-out). In this paper, we propose a practical prediction framework for the discontinuation of ad creatives with a hazard function-based loss function inspired by survival analysis. Our framework predicts the discontinuations with a multi-modal deep neural network that takes as input the ad creative (e.g., text, categorical, image, numerical features). To improve the prediction performance for the two different types of discontinuations and for the ad creatives that contribute to sales, we introduce two new techniques: (1) a two-term estimation technique with multi-task learning and (2) a click-through rate-weighting technique for the loss function. We evaluated our framework using the large-scale ad creative dataset, including 10 billion scale impressions. In terms of the concordance index (short: 0.896, long: 0.939, and overall: 0.792), our framework achieved significantly better performance than the conventional method (0.531). Additionally, we confirmed that our framework (i) demonstrated the same degree of discontinuation effect as manual operations for short-term cases, and (ii) accurately predicted the ad discontinuation order, which is important for long-running ad creatives for long-term cases.
description: 23 pages, 5 figures. Accepted by Appl. Sci. on March 29th, 2022
title: Fracture Detection in a Volcanic Oil Reservoir Using Discriminant Analysis of Well Log Data
Creators: name: Cross, Joseph William
Publisher: name: Old Dominion University
publisherIdentifier: https://ror.org/04zjtrb98
publisherIdentifierScheme: ROR
Year: 1986

description: A new method of detecting fractures using well logs is presented. The technique uses discriminant analysis to distinguish fractured from unfractured reservoir rock and was developed for the volcanic pay zone of Jatibarang oilfield, West Java, Indonesia.

The a priori information required to derive the discriminant function was provided by 22 wells known to penetrate intervals of either fractured or unfractured volcanics. The samples consisted of these 22 intervals digitized in one-meter increments (1256 meters total thickness). The discriminating variables were the petrophysical measurements made by 10 different types of well logs.

Discriminant analysis correctly classified 94.2% of the total volcanic interval as fractured or unfractured.

The resultant discriminant function can be applied during log analysis at the wellsite and aids in decisions regarding well testing and completion. The new technique can readily be extended to other fractured reservoirs
Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps
Creators: name: Saha, Amrita
name: Hoi, Steven C. H.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Retrieval (cs.IR)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Root Cause Analysis (RCA) of any service-disrupting incident is one of the most critical as well as complex tasks in IT processes, especially for cloud industry leaders like Salesforce. Typically RCA investigation leverages data-sources like application error logs or service call traces. However a rich goldmine of root cause information is also hidden in the natural language documentation of the past incidents investigations by domain experts. This is generally termed as Problem Review Board (PRB) Data which constitute a core component of IT Incident Management. However, owing to the raw unstructured nature of PRBs, such root cause knowledge is not directly reusable by manual or automated pipelines for RCA of new incidents. This motivates us to leverage this widely-available data-source to build an Incident Causation Analysis (ICA) engine, using SoTA neural NLP techniques to extract targeted information and construct a structured Causal Knowledge Graph from PRB documents. ICA forms the backbone of a simple-yet-effective Retrieval based RCA for new incidents, through an Information Retrieval system to search and rank past incidents and detect likely root causes from them, given the incident symptom. In this work, we present ICA and the downstream Incident Search and Retrieval based RCA pipeline, built at Salesforce, over 2K documented cloud service incident investigations collected over a few years. We also establish the effectiveness of ICA and the downstream tasks through various quantitative benchmarks, qualitative analysis as well as domain expert's validation and real incident case studies after deployment.
Governing ocean acidification : a solutions‑based approach
Creators: name: Makomere, Reuben
Publisher: name: University of Tasmania
Year: 2024

description: Ocean acidification is a major challenge for vulnerable marine socio-ecological systems. Scientific evidence suggests that ocean acidification will continue to intensify well into this century. Different approaches to addressing acidification will therefore be needed to complement ongoing global climate mitigation efforts. Harnessing domestic legal arrangements governing ocean acidification response strategies, in what constitutes a solutions-based approach, can play a crucial role in this regard. This thesis develops a conceptual framework for governing a solutions-based approach to addressing ocean acidification using insights from polycentric governance theory. The conceptual framework highlights three interlinked principles: legal arrangements must: (1) foster alignment between institutions and the problems they are meant to address; (2) reduce the risk of regulatory failure; and (3) prepare for and address change. The thesis applies these principles to three responses to ocean acidification identified in the literature: (a) preventing land-based marine pollution sources of ocean acidification; (b) reversing ocean acidification through ocean alkalinity enhancement; and (c) strengthening marine ecosystem health and resilience to cope with the impacts of ocean acidification. It evaluates how well the domestic governance arrangements in Puget Sound, Washington state, U.S and the Great Barrier Reef (GBR) in Queensland, Australia fulfil these requirements and influence the implementation of a solutions-based approach. This thesis shows that existing legal arrangements incorporate several mechanisms that can help implement the principles of a solutions-based approach, especially in more established responses such as prevention of land-based marine pollution and strengthening marine ecosystem health. There are however significant governance gaps that need to be addressed to effectively implement the solutions-based approach. Ocean acidification is yet to be mainstreamed within existing domestic legal frameworks. Lack of laws and policies that anticipate novel, emerging solutions that may be needed in future further exacerbates existing legal inadequacies. Nevertheless, existing legal arrangements can be enhanced to effectively implement the principles for governing a solutions-based approach. This thesis highlights pathways for targeted reforms that can help harness available response strategies to address ocean acidification as efforts to mitigate global CO2 emissions continue.
How the Big Bang Ends up Inside a Black Hole
Creators: name: Gaztanaga, Enrique
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: The standard model of cosmology assumes that our Universe began 14 Gyrs (billion years) ago from a singular Big Bang creation. This can explain a vast range of different astrophysical data from a handful of free cosmological parameters. However, we have no direct evidence or fundamental understanding of some key assumptions: Inflation, Dark Matter and Dark Energy. Here we review the idea that cosmic expansion originates instead from gravitational collapse and bounce. The collapse generates a Black Hole (BH) of mass $ M \simeq 5 \times 10^{22} M_{\odot}$ that formed 25~Gyrs ago. As there is no pressure support, the cold collapse can continue inside in free fall until it reaches atomic nuclear saturation (GeV), when is halted by Quantum Mechanics, as two particles cannot occupy the same quantum state. The collapse then bounces like a core-collapse supernovae, producing the Big Bang expansion. Cosmic acceleration results from the BH event horizon. During collapse, perturbations exit the horizon to re-enter during expansion, giving rise to the observed universe without the need for Inflation or Dark Energy. Using Ockham's razor, this makes the BH Universe (BHU) model more compelling than the standard singular Big Bang creation.
description: 22 pages, published as a Review paper in Universe
Improving the performance of a traditional variety of yam produced under ferralsol poor in organic matter in the forest areas of Cote d'Ivoire
Creators: name: Iqbal, Zahid
Publisher: name: figshare
Year: 2015
Subjects: Botany
Soil Science
Environmental Science
Education

description: A study on the potential of three previous cropping of ferralsol was conducted in the forest zone of Cote d'Ivoire
from 1999 to 2000. These parcels were a fallow of Chromolaena odorata, a previous yam and a previous cassava.
The aim of this study was to know the soil fertility and to assess the effect on the productivity of the local variety
called “bete bete”, a water yam very widespread. Thus, two micro doses of NPK compared to a control without
fertilizer was made for an objective of 30 t/ha. This work was carried out according to the pattern blocks of Fisher
with six replications. It was obtained in 1999 under fallow the highest yield (22.4 t/ha) for T1 (24N 48P 36 K)
against 18.4 t/ha and 14.4 t/ha respectively, yam and cassava subplot. In 2000, it was obtained under fallow 23.1
t/ha for T1 against 22 t/ha for T2 (70N 48P 36K). The lowest yield (12 t/ha) was obtained by T0 under cassava.
The difference was significant between T0 and T1 and between T2 and T0 in 1999 and 2000 under previous
fallow and previous yam. But, between T1 and T2, there was no significant difference. As cons, under previous
cassava, there was no significant difference between treatments. The results showed that the fertilizer had an
effect on bete bete yield. The conditions of cropping yam were more suitable under fallow than land previously
cultivated but need manure to increase highly the yield.
On the smallest open Diophantine equations
Creators: name: Grechuk, Bogdan
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Mathematics (math.GM)
subject: FOS: Mathematics
subject: Primary 11D99, Secondary 11D25

description: This paper reports on the current status of the project in which we order all polynomial Diophantine equations by an appropriate version of "size", and then solve the equations in that order. We list the "smallest" equations that are currently open, both unrestricted and in various families, like the smallest open symmetric, 2-variable or 3-monomial equations. All the equations we discuss are amazingly simple to write down but some of them seem to be very difficult to solve.
Lebende Wurzeln in Hoch- und Niedermooren
Creators: name: Schwaar, Jürgen
Publisher: name: FID GEO
Year: 1972
Subjects: subject: 553.21
subject: 581.7
subject: e-docs::Geologische Wissenschaften
subject: Moor
subject: Torf
subject: Wurzeln
subject: Vegetation
subject: peatland
subject: peat
subject: roots
subject: FID-GEO-DE-7

description: In den oberflächennahen Schichten eines Nieder- und eines Hochmoores wurden die Wurzelvolumina (Rhizome eingeschlossen) von zwei dort jetzt wachsenden Pflanzenarten bestimmt. Hierbei handelte es sich um Deschoampsia caespitosa (Niedermoor) und Narthecium ossifragum (Hochmoor). Dabei ergab sich für jede Art ein typisches Wurzelbild. Besonders auffällig war, daß gerade eine Art des unkultivierten Hochmoores besonders umfangreiche Wurzelanteile aufwies. Die Abnahmen der unterschiedlichen Pflanzenmassen vollziehen sich nicht nur kontinuierlich von oben nach unten, sondern verlaufen auch teilweise unregelmäßig. Die Maxima erscheinen in den beiden obersten Schichten. Bei Deschampsia caespitosa wird für die oberste Schicht ein überwiegend waagerechter Verlauf der Wurzeln sichtbar; Narthecium ossifmgum zeigt mit vorwiegend senkrechter Durchwurzelung in dieser Lage das Gegenteil. In die Untersuchungen wurden nur lebende Wurzeln einbezogen.
description: Roots investigations of surface layer were made in a fen and a bog. The volume of the roots of species Deschampsia caespitosa and Narthecium ossifragum were determined. A typical root-distribution was found for each species. The greatest volume of the roots showed Narthecium ossifragum, which growed in a bog. The decrease of the roots occures both proportionately and disproportionately. The maximum appears in the uppermost layer. In this layer prevailed roots in horizontal direction of Descbampsia caespitosa and in vertical direction of Narthecium ossifmgum. Only living rotts were inquired.
Wurzeluntersuchungen auf Moorböden
Creators: name: Schwaar, Jürgen
Publisher: name: FID GEO
Year: 1973
Subjects: subject: 553.21
subject: 581.7
subject: e-docs::Geologische Wissenschaften
subject: Moor
subject: Torf
subject: Vegetation
subject: Wurzeln
subject: peatland
subject: peat
subject: roots
subject: FID-GEO-DE-7

description: Grünland auf kultiviertem Hoch- und Niedermoor wurde auf seine unterirdische Pflanzenmasse (Wurzeln, Rhizome) untersucht. Dabei zeigte sich insgesamt gesehen eine sehr geringe Durchwurzelungsintensität bei allen untersuchten Arten (Poa trivialis, Poa pratensis, Holcus lanatus, Juncus effusus, Ranunculus acer), die 1% nicht überschreitet. Eine Ausnahme macht nur die oberste Schicht (0-2 cm) des Hochmoorgrünlandes, in dem Wurzelvolumina von 9,6% erreicht werden. Mögliche Ursachen dieses Phänomens werden diskutiert.
description: The underground biomass (roots, rhizomes) of grassland situated in a fen and a bog was investigated. Only few roots were found. The content was generally less than 1%. An exception made the surface layer (0-2 cm) of the bog-grassland. There the root content was 9,6%. Possible reasons of this phenomenon were discussed.
Enhancing Marine Data Transmission with Socially-Aware Resilient Vessel Networks
Creators: name: Jiang, Ruobing
name: Liu, Chao
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: With the multi-dimensional exploration towards oceans, enormous sensing data has been generated with significant volume, velocity, variety and heterogeneity. The resulted Big Marine Data (BMD) thus issue unprecedented architectural challenges on existing marine communication systems. Current dominant marine communication technologies, e.g., shore-based cellular stations, high frequency radio, and expensive satellites, extremely suffer from short coverage, low bandwidth, insecurity, and unavailable cross-domain transmission. In this paper, Resilient Vessel Network (RVN) is proposed to fundamentally enhance BMD transmission. RVNs with widespread self-organized vessels and opportunistic connections reveal advantages of ubiquity, resilience, low cost and cross-domain transmission. To efficiently manage opportunistic vessel-to-vessel (V2V) connections for optimal routing, Social Network Analysis (SNA) on historical vessel interactions is applied for vessel familiarity measurement and community detection. The performance of the proposed community-based routing (CBR) is comprehensively evaluated with real datasets of fishing vessel trajectories. It is demonstrated that CBR achieves much lower transmission cost with comparable delivery ratio compared to typical routing algorithms.
Composition of farmyard chicken, production practices and season effect on the reproductive parameters of local hens in the regions of Eastern Chad
Creators: name: Iqbal, Zahid
Publisher: name: figshare
Year: 2015
Subjects: subject: Environmental Science
subject: Soil Science
subject: Genetics
subject: FOS: Biological sciences
subject: Education

description: This study was about the composition of the farmyard chicken, to evaluate the production practices and the
reproduction performance of the hens of the Eastern Chad .The transversal retrospective survey covered 113
villages chosen at random in 12 Departments of three (3) regions (Wadi Fira, Ouaddai and Salamat). It was about
732 chicken farms with a total number of 18197 chickens. The average number per chicken farm was 25±17
chickens. The females were 62% of the total number and the males 38%. The sex ratio was 4.7 in favor of the
females. The henhouses with a roof were the majority (95%) among the ones with no roof (5%). Many producers
(91%) distributed the cereal ban in some troughs for the chicks and 98% of the grains were thrown straight on the
floor for the young chickens and the adult ones. The average total number of the hens clutch per year was 3.6±0.7
and the average total number of eggs per hen clutch was 11.7±1.7. The yearly average production was 41±9 eggs;
the average hatching rate was 86.6% and the average survival rate when chicks were two months was 60%.
According to the seasons, the low reproduction performances were noted during the dry hot season (P<0.05). The
loss was important after the weaning. Some practices aiming to reduce that loss would permit the numerical
increase of the numbers. The characterization of the initial state of the hens production allows to evaluate the
impact of the improvement and innovation practices which were introduced in the concerned regions.