Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Cementation on Cone Resistance in Sands: A Calibration Chamber Study.

An understanding of the effect of cementation on geotechnical properties of soil deposits is gaining increasing atten tion in the profession. When low levels of cemen­ tation in sands are neglected, pile capacity and slope stability are underestimated and liquefaction is overestimated. The recent Loma, P r ie ta earthquake led to fail­ ures along the northern Daly City bluffs causing catastrophic failures in residences scattered on these slopes. These failures were not anticipated, possibly due to (he confidence felt in constructing on bluffs of cemented deposits. It is essential to devise schemes to identify cementation in soil investigations and develop methods in eval­ uating engineering characteristics of cemented deposits. The objective of this study is to develop a method to identify cementation in sands and assess the engineering characteristics of cemented sand deposits using the cone penetration testing scheme. The scope of the study includes evaluation of the effect of cementation on cone penetration testing (experimental model) and comparison of these ex])erimental re­ sults with theoretical models of penetration mechanism in cemented sands. Existing models based upon the bearing capacity theories and cavity expansion models are utilized in theoretical modeling. A constitutive model is developed for strengthdeformation behavior of cemented sands and is used in theoretical modeling. Artificially cemented Monterey No. 0/30 is used in the calibration chamber study. A total of 30 tests are conducted at, three ranges of relative density ( 'h5-nü, 65-75 and above 85 %), three confining pressures (100, 200 and 300 kPa) and three different cement content (0, I and 2 %). Pluviation method is used for specimen preparation. Specimens are cured for 7 days, transferred into the flexible wall cal­ ibration chamber and then consolidated under R'o conditions. Penetration testing was conducted with a 1.27c? diam eter m iniature cone which reduced the chamber size effects on the results significantly. Separate drained triaxial tests provided the necessary parameters for strength-deformation modeling of cemented sands. xviii Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. The experimental model results coupled with the theoretical model predictions provide a semi-empirical and empirical schemes for evaluating engineering character­ istics of cemented sand deposits. An assessment of the applicability of these models in prediction of cementation in such deposits is also provided. The results indicate th a t tip resistance and sleeve friction in cone penetration testing provide a reason­ able assessment of cementation. The charts and the analysis method provided can be used to estim ate the engineering characteristics of such deposits. It is found essential th a t reliability and accuracy of the proposed methods of analysis be evaluated by insitu tests in a well-documented, naturally cemented sand deposit.
Tracking Textual Similarities in Neo-Latin Drama Networks

This paper describes the first experiments towards tracking the complex and international network of text reuse within the Early Modern (XV-XVII centuries) community of Neo-Latin humanists. Our research, conducted within the framework of the TransLatin project, aims at gaining more evidence on the topic of textual similarities and semi-conscious reuse of literary models. It consists of two experiments conveyed through two main research fields (Information Retrieval and Stylometry), as a means to a better understanding of the complex and subtle literary mechanisms underlying the drama production of Modern Age authors and their transnational network of relations. The experiments led to the construction of networks of works and authors that fashion different patterns of similarity and models of evolution and interaction between texts.
Three-dimensional rotational angiography for craniotomy planning and postintervention evaluation of intracranial aneurysms Utilizzo dell'angiografia rotazionale 3D per la strategia d'approccio chirurgico craniotomico e nel controllo post-operatorio degli aneurismi intracranici

Purpose. The authors evaluated the usefulness of threedimensional rotational angiography (3DRA) in surgical planning and postoperative evaluation of cerebral aneurysms. Materials and methods. A total of 111 consecutive aneurysms in 100 patients (32 emergency referrals due to haemorrhage) were evaluated with 3DRA over a period of 3 years. The rotational study was always performed with a single injection of 20 cc of contrast agent in the afferent vessel after diagnostic cerebral angiography in the two orthogonal projections. Three-dimensional reconstructions were obtained for the pre- and postoperative assessment. Results. Three-dimensional RA provides a virtual view of the surgical field with the same orientation required for the surgical approach and, compared with surgical findings, reliably defined location, orientation, morphology and relationship with parent vessels of the aneurysm in all cases. Postoperatively, it allowed better assessment of any residual lesion and of the relationship between surgical clips and parent vessels, compared with standard 2D angiography. Conclusions. 3DRA is a reliable method for preliminary assessment of cerebral aneurysms undergoing surgery. It provides multiple projections with a preview of the surgical field and study of lesion characteristics, which can help achieve faster and safer surgery. Compared with 2D angiography, the 3D model, with its multiple views, allows better assessment of postoperative outcomes. The method
SPADE: A Big Five-Mturk Dataset of Argumentative Speech Enriched with Socio-Demographics for Personality Detection

In recent years, there has been increasing interest in automatic personality detection based on language. Progress in this area is highly contingent upon the availability of datasets and benchmark corpora. However, publicly available datasets for modeling and predicting personality traits are still scarce. While recent efforts to create such datasets from social media (Twitter, Reddit) are to be applauded, they often do not include continuous and contextualized language use. In this paper, we introduce SPADE, the first dataset with continuous samples of argumentative speech labeled with the Big Five personality traits and enriched with socio-demographic data (age, gender, education level, language background). We provide benchmark models for this dataset to facilitate further research and conduct extensive experiments. Our models leverage 436 (psycho)linguistic features extracted from transcribed speech and speaker-level metainformation with transformers. We conduct feature ablation experiments to investigate which types of features contribute to the prediction of individual personality traits.
Interactive Evaluation of Dialog Track at DSTC9

The ultimate goal of dialog research is to develop systems that can be effectively used in interactive settings by real users. To this end, we introduced the Interactive Evaluation of Dialog Track at the 9th Dialog System Technology Challenge. This track consisted of two sub-tasks. The first sub-task involved building knowledge-grounded response generation models. The second sub-task aimed to extend dialog models beyond static datasets by assessing them in an interactive setting with real users. Our track challenges participants to develop strong response generation models and explore strategies that extend them to back-and-forth interactions with real users. The progression from static corpora to interactive evaluation introduces unique challenges and facilitates a more thorough assessment of open-domain dialog systems. This paper provides an overview of the track, including the methodology and results. Furthermore, it provides insights into how to best evaluate open-domain dialog models.
Seed mix design, planting time, and first-year mowing management to improve multifunctionality and cost-effectiveness of tallgrass prairie reconstructions

The conversion of the Midwestern United States’ tallgrass prairies to agriculture has resulted in extensive habitat loss and degradation and a decline in the provisioning of ecosystem services. To restore these services the United States Department of Agriculture created the Conservation Reserve Program (CRP) which provides incentives to agricultural landowners to implement conservation practices designed to meet goals pertaining to single ecosystem services. We studied the effects of seed mix design, planting time, and first-year management on the multifunctionality and cost-effectiveness of prairie reconstructions. We established research plots planted with one of three seed mixes either in the dormant (fall) or spring season with or without first-year mowing management applied. The Economy mix had a 3:1 grass-to-forb ratio consisting of 21 species, the Diversity mix had a 1:1 grass-to-forb ratio with 71 species, and the Pollinator mix had a 1:3 grass-to-forb seeding ratio containing 38 species. We measured native species richness, stem density, canopy cover, canopy fill, and floral resources in each plot over two growing seasons. We also estimated the cost-effectiveness of each seed mix at producing 1000 native stems. Additionally, we compared the effects of seed mix design and mowing management on vegetation outcomes across two sites differing in planting year and cropping history (soybeans versus corn) but sharing a similar experimental design. We found that the Economy mix established the highest number of grasses and native cover but the fewest forbs. The Pollinator mix had the highest number of forb stems and inflorescences but fewest grasses, whereas the Diversity mix established the greatest species richness, an intermediate density of grass stems, comparable forb stems and the highest floral richness. Mowing accelerated native species establishment and increased cost-effectiveness across all seed mixes. Spring planting had a strong influence on the establishment of warm-season grasses, while dormant plantings increased coolseason grasses and spring and fall forbs. The effects of seed mix design and first-year mowing on vegetation outcomes were robust across the two sites. Our results suggest CRP could effectively consolidate multiple existing conservation practices by instead recommending a diverse, evenly-balanced seed mix to provide multifunctional stands. We also recommend first-year mowing as an effective tool to accelerate plant establishment and dormant season planting as no cost approach to increase pollinator habitat quality. SEED MIX DESIGN, PLANTING TIME, AND FIRST-YEAR MOWING MANAGEMENT TO IMPROVE MULTIFUNCTIONALITY AND COSTEFFECTIVENESS OF TALLGRASS PRAIRIE RECONSTRUCTIONS A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree Master of Science Alec James Glidden University of Northern Iowa May 2021
Effect of Soil Sampling Point and Age at Harvest on the Growth and Dry Matter Yield of Two Panicum maximum Varieties

The study was conducted in a greenhouse to evaluate the effect of soil sampling point and age at harvest on the growth and yield of two P. maximum varieties. The experiment design is a 3 x 3 x 2 factorial with 3 sampling points (Industrial site, Dump site, and Fadama) and 3 harvest ages (4, 8, and 12 weeks after planting [WAP]) and 2 Panicum varieties (Local and Ntchisi) making eighteen (18) treatments with 4 replications. The data collected were agronomic data which include plant height, number of leaves per plant, leaf length, number of tillers per pot, leaf width and leaf to stem ratio and the dry matter yield (DMY) was as well quantified. Results indicated that the sampling sites, varieties, and age at harvest significantly (P<0.05) affected the growth as well as the yield. Plant height increased with increasing in age (63.63cm at 4 weeks, 111.18cm at 8 weeks, and 147.35cm at 12 weeks). The local variety was observed to be taller (129.62 cm), the number of tillers (4.58 tillers/stand) was better with the Ntchisi variety and at 12 WAP, the tillering ability was superior. The variety Ntchisi recorded a superior leaf-stem ratio. The dry matter yield at 12 WAP (15.66 g/pot) and dump site (16.56 g/pot) were better.
Diagnosis of cause-effect rela&onships in gender mobility in large Brazilian ci&es

Recebido: 19 de julho de 2021 Aceito para publicação: 9 de abril de 2022 Publicado: 31 de dezembro de 2021 Editor de área: Antônio Nélson Rodrigues da Silva ABSTRACT Despite recurrent efforts to characterize the different pa.erns of mobility by gender in the North and Global South, the causal rela0onships that determine this phenomenon are s0ll unclear. This ar0cle seeks to explain the part of these differences that stems from the sexual division of labor, through confirmatory quan0ta0ve analyses. Based on a conceptual representa0on of the problems built upon the literature, a causal diagram was constructed which translates the cause-effect hypotheses of interest and controls the possible sources of confounding. Data from the São Paulo OD survey were used in the es0ma0on of structural equa0on models, which confirmed causal explana0ons based on three key elements: household assignments, professional inser0on, and accessibility. Evidence was found that the social imposi0ons arising from the sexual division of labor impact on trip produc0on and 0me budget limita0ons, with heterogeneous causal processes being observed not only between genders but also among income groups.
Labelling Kinetics in Maize Reveal Impaired Efficiency of C 4 Photosynthesis 2 under Low Irradiance

DBM, ARF, MS and SA conceived and planned the experiments. DBM grew plants and 25 performed C labelling with help from HI and LRS. DBM, MG and SA extracted the samples 26 for downstream analyses. MG and SA processed and analyzed LC-MS/MS and 27 enzymatically assayed samples. DBM processed and analyzed GC-MS samples. HI 28 performed statistical analyses. DBM, ARF, MS and SA wrote the manuscript. ARF and MS 29 supervised the project. All authors approved the final version. 30
DDisCo: A Discourse Coherence Dataset for Danish

To date, there has been no resource for studying discourse coherence on real-world Danish texts. Discourse coherence has mostly been approached with the assumption that incoherent texts can be represented by coherent texts in which sentences have been shuffled. However, incoherent real-world texts rarely resemble that. We thus present DDisCo, a dataset including text from the Danish Wikipedia and Reddit annotated for discourse coherence. We choose to annotate real-world texts instead of relying on artificially incoherent text for training and testing models. Then, we evaluate the performance of several methods, including neural networks, on the dataset.
Local Eigenmotion Control for Near Rectilinear Halo Orbits

The upcoming deployment of the Lunar Orbital Platform-Gateway (LOP-G) on a Near Rectilinear Halo Orbit (NRHO) calls for reliable, low-cost strategies for station keeping and relative motion tailor-made for NRHO. This paper proposes a control approach which harnesses the eigenvectors of state transition matrices (STM) associated with a high-fidelity NRHO solution in the ephemeris model to design long-term station keeping and bounded relative motion. The proposed method effectively utilizes the natural motion of the spacecraft so that control actions are infrequent and fuel efficient. The performance of the proposed approach is demonstrated via simulations with a state estimator that uses simulated measurements from the Deep Space Network.
Decoding EEG With Spiking Neural Networks on Neuromorphic Hardware

Decoding motor activity accurately and reliably from electroencephalography (EEG) signals is essential for several portable brain-computer interface (BCI) applications ranging from neural prosthetics to the control of industrial and mobile robots. Spiking neural networks (SNNs) is an emerging brain-inspired architecture that is well-suited for decoding EEG signals due to their built-in ability to integrate information at multiple timescales, leading to energy-efficient solutions for portable BCI. In practice, however, current SNN solutions suffer from i) an inefficient spike encoding of the EEG signals; ii) non-specialized network architectures that cannot capture EEG priors of spatiotemporal dependencies; and iii) the limited generalizability of the local learning rules commonly used to train the networks. These untapped challenges result in a performance gap between the current SNN approaches and the state-of-the-art deep neural network (DNN) methods. Moreover, the black-box nature of most current SNN solutions masks their correspondence with the underlying neurophysiology, further hindering their reliability for real-world applications. Here, we propose an SNN architecture with an input encoding and network design that exploits the priors of spatial and temporal dependencies in the EEG signal. To extract spatiotemporal features, the network comprised of spatial convolutional, temporal convolutional, and recurrent layers. The network weights and the neuron membrane parameters were trained jointly using gradient descent and our method was validated in classifying movement on two datasets: i) an in-house dataset comprising of complex components of movement, namely reaction time and directions, and ii) the publicly available eegmmidb dataset for motor imagery and movement. We deployed our SNN on Intel’s Loihi neuromorphic processor, and show that our method consumed 95% less energy per inference than the state-of-the-art DNN methods on NVIDIA Jeston TX2, while achieving similar levels of classification performance. Finally, we interpreted the SNN using a network perturbation study to identify the spectral bands and brain activity that correlated with the SNN outputs. The results were in agreement with the current neurophysiological knowledge implicating the activation
Tracing Syntactic Change in the Scientific Genre: Two Universal Dependency-parsed Diachronic Corpora of Scientific English and German

We present two comparable diachronic corpora of scientific English and German from the Late Modern Period (17th c.–19th c.) annotated with Universal Dependencies. We describe several steps of data pre-processing and evaluate the resulting parsing accuracy showing how our pre-processing steps significantly improve output quality. As a sanity check for the representativity of our data, we conduct a case study comparing previously gained insights on grammatical change in the scientific genre with our data. Our results reflect the often reported trend of English scientific discourse towards heavy noun phrases and a simplification of the sentence structure (Halliday, 1988; Halliday and Martin, 1993; Biber and Gray, 2011; Biber and Gray, 2016). We also show that this trend applies to German scientific discourse as well. The presented corpora are valuable resources suitable for the contrastive analysis of syntactic diachronic change in the scientific genre between 1650 and 1900. The presented pre-processing procedures and their evaluations are applicable to other languages and can be useful for a variety of Natural Language Processing tasks such as syntactic parsing.
Diversity of Fisheries in Sarawak, Northwest Borneo: Present Status and Conservation Issues

Information on fisheries resources in East Malaysia is scarce and poorly known. The current review aims to compile a checklist of fisheries resources in the Northwest Borneo (Sarawak, Malaysia) from available published literature, address the resources' present status, and suggest future monitoring needs for selected critical species. The study also aims to determine several Sarawak land-use issues that are in flux and responsible for habitat degradation. Five hundred sixty-four species belonging to 123 families and 32 orders were recorded from Sarawak waters. Freshwater fish species comprised 48.0% of the total, followed by a marine (36.6%), marine-euryhaline (12.9%), and brackish water (2.5%) species. Of this, Cyprinidae was the most dominant group accounting for the greatest number of species (82 species), followed by Balitoridae (34 species), Bagridae (21 species) and Penaeidae (21 species). Therefore, available fisheries resources should be managed carefully as 48 species (9.0%) are currently vulnerable to extinction. Furthermore, the presence of 20 alien species in Sarawak water bodies also requires attention from the authorities due to the potential disruption of aquatic ecological balance. Changing land use issues in Sarawak such as forest degradation, agricultural expansion, peatland deforestation and conversion, logging, destruction of mangrove forests, and construction of hydroelectric power dams and flood mitigation channels pose significant challenges to fishery management in Sarawak. Our study documents the priority of fishery monitoring and conservation in Sarawak water bodies to ensure sustainable management of fisheries resources.
Investigating the Relationship Between Romanian Financial News and Closing Prices from the Bucharest Stock Exchange

A new data set is gathered from a Romanian financial news website for the duration of four years. It is further refined to extract only information related to one company by selecting only paragraphs and even sentences that referred to it. The relation between the extracted sentiment scores of the texts and the stock prices from the corresponding dates is investigated using various approaches like the lexicon-based Vader tool, Financial BERT, as well as Transformer-based models. Automated translation is used, since some models could be only applied for texts in English. It is encouraging that all models, be that they are applied to Romanian or English texts, indicate a correlation between the sentiment scores and the increase or decrease of the stock closing prices.
Identifying Copied Fragments in a 18th Century Dutch Chronicle

We apply computational stylometric techniques to an 18th century Dutch chronicle to determine which fragments of the manuscript represent the author’s own original work and which show signs of external source use through either direct copying or paraphrasing. Through stylometric methods the majority of text fragments in the chronicle can be correctly labelled as either the author’s own words, direct copies from sources or paraphrasing. Our results show that clustering text fragments based on stylometric measures is an effective methodology for authorship verification of this document; however, this approach is less effective when personal writing style is masked by author independent styles or when applied to paraphrased text.