Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical phenetic and phylogenetic relationships in silico among brown seaweeds (Phaeophyceae) from Gunungkidul, Yogyakarta, Indonesia

Abstract. Ningrum AM, Chasani AR. 2021. Numerical phenetic and phylogenetic relationships in silico among brown seaweeds (Phaeophyceae) from Gunungkidul, Yogyakarta, Indonesia. Biodiversitas 22: 3057-3064. Human activities such as industrial and tourism development on coastal areas in Indonesia are dreaded to affect seaweed diversity, including brown seaweeds (Phaeophyceae). Though study on brown seaweeds diversity has been done quite a lot, there is no record of analysis of phenetic and phylogenetic relationships among brown seaweeds. Hence, this study aims to determine the phenetic and phylogenetic relationships in silico among brown seaweeds and define characters that play a role in the clustering of brown seaweeds from Gunungkidul, Yogyakarta, Indonesia. Exploration was done using purposive sampling method. Numerical phenetic analysis was generated using MVSP 3.1. Further clustering method was implemented to identify phenetic relationships The PCA method was used to reveal morphological, anatomical, and biochemical characters that determine the clustering pattern. The phylogenetic relationships in silico analysis were conducted using rbcL genes from NCBI GenBank database. All multiple sequences were aligned using ClustalW and phylogram reconstruction was performed using Neighbor-Joining (NJ) method in MEGA 7.0. Our study showed that both the analyses, i.e., numerical phenetic and phylogenetic relationships in silico resulted in two main clusters although the species composition of the clusters was slightly different. The PCA analysis indicated that the morphological characters i.e. blade shape, phylloid shape, thalli height, length of the main axis, and the water bladder shape play an important role in the clustering of brown seaweeds species.
Parallel Volume Computation of the Union of Many Cubes

We present an algorithm and implementation for computing volumes and areas of the union of many congruent axisaligned cubes. Its expected execution time is linear. It has been tested to 100M cubes. The ideas extend to any mass property of the union of any polyhedra, and to online computations as more inputs are added. The algorithm is mostly a series of map-reduce operations and so parallelizes quite well. Inserting a new cube and recomputing takes constant expected time. The algorithm combines local topological formulae with a uniform grid. It does not build a computation tree of height log(N), but rather computes all the possibly relevant intersections in one step. It is an exact computation, not a sampling or cellular decomposition technique. Most of the operations are a map-reduce, and so they parallelize quite well, better than more complicated data structures.
Morphology Dependence of Raman Properties of Carbon Nanotube Layers Formed on Nanostructured CeO2 Films

Multiwalled carbon nanotubes (MWCNTs) were deposited from solution phase onto the nanostructured CeO2 films grown on a sapphire substrate. High-resolution images by scanning electron microscopy showed that MWCNTs laid on the top of CeO2 islands. Raman shifts of these combinatorial materials showed considerable dependence on the morphology of the underlying CeO2 nanostructures. Quantum chemical calculations validated the resonant nanotube vibrations, especially for the stationary longitudinal wave at typical surface morphology, as the origin of this unexpected property of the Raman signal. Considering that the CeO2 surface morphology is fully controlled by the experimental setup of growth, properties of the CNT layers are tunable toward the requirements of practical applications.
California Independent System Operator

EXECUTIVE SUMMARY Management recommends Board approval of the additional MRTU elements summarized in this memorandum and requests Board authorization to file a tariff with the Federal Energy Regulatory Commission that reflects and is consistent with the MRTU design elements approved by the Board or the Commission. Recommendations are provided for the following additional MRTU design issues: 1. Existing Zone Generation Trading Hubs. Management recommends that specific detail be included in the MRTU Tariff concerning the weighting of generation prices to be used in calculating the EZ Gen Hub prices. 2. Metered SubSystem Issues. Management recommends that that the Board approve the treatment for MSSs as described in the November 2004 whitepaper. The MRTU Tariff continues the evolution of the CAISO Tariff, which began in the simplified and reorganized version of the existing ISO Tariff (S&R Tariff), of removing unnecessary detail from the tariff. The MRTU Tariff reflects MRTU design principles and contemplates that implementation details, including guidelines, examples and timelines, be published in the form of Business Practices Manuals (BPMs) and posted on the CAISO website. In addition, the tariff makes one global non-MRTU change of changing the acronym from ISO to CAISO. CAISO Management plans to file the MRTU Tariff on or about November 30, 2005. BACKROUND The CAISO has undertaken the first step in developing a well-organized MRTU Tariff to implement the CAISO's new market design as of February 2007 in the filing of the S&R Tariff on September 22, 2005. The S&R Tariff will be used as the platform for the MRTU Tariff, with the MRTU-specific language identified in " track change " format for filing with the Commission. On October 19, 2005, the CAISO Board approved the remaining 28 issues that complete the CAISO MRTU design. Policy issues included in this memorandum concern additional related areas, such as the composition of EZ Gen Hubs, to allow MRTU Tariff to reflect additional details in these related areas.
New sources of economies and diseconomies of scale in on-demand ridepooling systems and comparison with public transport

1 Department of Cognitive Robotics, TU Delft 2 Civil Engineering Department, Universidad de Chile 3 Instituto Sistemas Complejos de Ingeniería, Chile *Corresponding author, a.s. fielbaumschnitzler@tudelft.nl Abstract On-demand ridepooling (ODRP) can become a powerful alternative to reduce congestion and emissions, if it attracts private car users. Therefore, it is crucial to identify the strategic phenomena that determine when ODRP systems can run efficiently. In this paper, we analyze the performance of an ODRP system, in which the fleet of low-capacity vehicles is endogenously adapted to the demand, and operated in a zone covered by a single transit line. The routing of the on-demand fleet follows some of the rules of public transport systems; namely, it is not-for-profit, some users can be required to walk, and all requests must be served. Considering both users’ and operators’ costs we identify two sources of scale economies: when demand grows, the average cost is reduced due to a) an equivalent of the Mohring Effect (also present in public transport), and b) due to matching users with more similar routes when they are assigned to the vehicles, which we call Better-matching Effect . A counter-balance force, called Flex-route Effect, is observed when the vehicle loads increase and users face longer detours. We find a specific demand range in which the latter effect dominates the others, imposing diseconomies of scale when only users' costs are considered. Such a phenomenon emerges because the routes are not fixed; hence, it is not observed in traditional public transport systems. However, when considering both users’ and operators’ costs, scale economies prevail. Our simulations show that relaxing door-to-door vehicle requirements to allow short walks is crucial for the performance of ODRP. In fact, we observe that an ODRP system with human-driven vehicles and walks allowed has a total cost at a similar level to that of a door-to-door ODRP system with driverless vehicles.
ENHANCEMENT OF BIOAVAILABLE IRON IN THE MEALS OF ADULT WOMEN

The study was carried out to assess the meal pattern and nutrient intake of farm women and to determine the meal constituents which influenced the in vitro iron bioavailability of their meals. In vitro bioavailability of iron in context to fortification of key foods to the basic meals was also studied. The percent adequacy of food groups namely cereals, pulses, green leafy vegetables, roots and tubers, fruits, other vegetables, milk and milk products, sugars and fats and oils by women was 98, 54, 5, 63, 49, 16, 122, 141 and 216 %, respectively. Out of seven nutrients studied, calcium was adequate while energy, protein, folate, ascorbic acid and iron were marginally adequate with nutrient adequacy ratios ranged between 75-100%. Only β-carotene was marginally inadequate. The mean adequacy ratio (MAR) of the diets was 83%. The diets of farm women were in the class of intermediate diets as per FAO/WHO classification with iron bioavailability of 8.11%. The analysis of meals of the subjects showed that the meal constituents which influenced iron absorption positively (p≤0.01) were ascorbic acid and β-carotene in breakfast and only β-carotene in dinner. The meal constituents which affected iron absorption negatively (p≤0.01) were zinc and calcium in breakfast as well as lunch and phytates and neutral detergent fibre in dinner. Inclusion of 200 g of chicken, 135g of salad and 120 g of orange to the basic meals of rice or chapati with either dal or saag enhanced iron bioavailability by 1.6 fold to 5.0 fold; 5.2 to 28.9% and 4.7 to 10.7%, respectively. The best enhancer of iron absorption for vegetarian women was lemonade (250 ml) which resulted in 70.2 and 61.0% increase of in vitro bioavailability of iron to the rice based meals with dal and saag, respectively. The inclusion of lemonade resulted in 1.3 fold increase in iron bioavailability in chapati based meals. The in vitro bioavailability of iron was reduced by 3.8 to 36.8% and 1.5 to 36.8% when basic meals were fortified with either milk or curd, respectively. The major inhibitors of iron bioavailability were egg and tea, the percent reduction caused by egg being 16.1 to 50.2% while by tea, it was between 21.5 to 55.3%. The nutrition education intervention through a developed visual aid proved effective in improving the knowledge of farm women regarding anemia and its prevention especially through dietary approach, the post intervention increase in knowledge being 3.1 folds. The study recommends that women should be encouraged to increase overall intake of iron from iron rich foods. The increase should be coupled with efforts to combine appropriate foods in the diet to enhance the bioavailability of iron and reduce inhibitory factors.
Influence of prophylactic ankle tapes on lower-extremity kinematics during a stop-jump task in chronic ankle instability

Background and objective: Numerous tape applications have been used in patients with chronic ankle instability (CAI). However, the effect of prophylactic ankle taping on lower-extremity kinematics is still not well understood. This study aimed to investigate the effects of traditional taping, fibular repositioning taping, and kinesiology taping on the peak angles of the lower extremities in patients
Engagement Estimation During Child Robot Interaction Using Deep Convolutional Networks Focusing on ASD Children

Estimating the engagement of children is an essential prerequisite for constructing natural Child-Robot Interaction. Especially in the case of children with Autism Spectrum Disorder, monitoring the engagement of the other party allows robots to adjust their actions according to the educational and therapeutic goals in hand. In this work we delve into engagement estimation with a focus on children with autism spectrum disorder. We propose deep convolutional architectures for engagement estimation that outperform previous methods, and explore their performance under variable conditions, in four databases depicting ASD and TD children interacting with robots or humans.
Will AI Write Scientific Papers in the Future?

In this presidential address, I would like to start with a personal reflection on the field and then share with you the research directions I am pursuing and my excitement about the future of AI. In my personal research to advance AI while advancing scientific discoveries, one question that I have been pondering for some years now is whether AI will write scientific papers in the future. I want to reflect on this question, and look back at the many accomplishments in our field that can make us very hopeful that the answer will be yes, and that it may happen sooner than we might expect.
Using various grinding equipment for the preparation of recycled wood fibre

This work presents a study on the preparation of recycled wood fibre using different types of grinding equipment. It is also concerned with fibre preparation in an aerodynamic environment and describes the possibilities of using the material in various finished products. The authors used biorejects from the production of composite board materials, e.g. fibreboard and medium density fibreboard (MDF), in the form of lump scraps, as research material. In order to evaluate the efficiency of woodfibre waste recycling using various grinding equipment, the authors analysed the qualitative characteristics of the resulting semi-finished woodfibre materials and mathematically calculated the primary technological and design parameters of the grinders. The results of the study provide a scientific basis for the efficiency of a fundamentally new recycled wood fibre dry preparation method and system.
The Relationship between Money Supply and Interest Rates: An Empirical Investigation in Sri Lanka

Monetary policy in Sri Lanka, targets maintenance o f m netary growth that is consistent with economic and price stabilit y and stability in the financial system. The primary tools of policy inst ruments are Central Bank policy interest rates. Economic theory offers two seemingly contradictory views on money and interest rate rela tionship (Monnet and Weber 2001). The liquidity effect view states that money and interest rates are negatively related (Christiano et al., 1999). M oney is a decreasing function of the nominal interest rate because the i nt rest rate is the opportunity cost of holding liquidity. In the Fishe r quation tradition, money and interest rates are positively related. In creasing interest rates requires an increase in the rate of money growth. T he Fisher equation states that the nominal interest rate equals the re al interest rate plus the expected rate of inflation. This paper mainly focus es on the liquidity effect view and the Fisher effect view.
Audio Feature Space Analysis for Emotion Recognition from Spoken Sentences

An analysis of low-level feature space for emotion recognition from the speech is presented. The main goal was to determine how the statistical properties computed from contours of low-level features influence the emotion recognition from speech signals. We have conducted several experiments to reduce and tune our initial feature set and to configure the classification stage. In the process of analysis of the audio feature space, we have employed the univariate feature selection using the chi-squared test. Then, in the first stage of classification, a default set of parameters was selected for every classifier. For the classifier that obtained the best results with the default settings, the hyperparameter tuning using cross-validation was exploited. In the result, we compared the classification results for two different languages to find out the difference between emotional states expressed in spoken sentences. The results show that from an initial feature set containing 3198 attributes we have obtained the dimensionality reduction about 80% using feature selection algorithm. The most dominant attributes selected at this stage based on the mel and bark frequency scales filterbanks with its variability described mainly by variance, median absolute deviation and standard and average deviations. Finally, the classification accuracy using tuned SVM classifier was equal to 72.5% and 88.27% for emotional spoken sentences in Polish and German languages, respectively.
Validation of the charge equilibration lipid force field for simulations of phospholipid membranes with an application to the study of the free energetics of methyl guanidinium permeation across a DPPC bilayer

Previous work in our group focused on the development and refinement of polarizable charge equilibration (CHEQ) force fields for use in molecular dynamics (MD) simulations of phospholipid bilayers. We present results to further validate these force fields by extending to simulations of a model DPPC-water monolayer. Several physical and electrostatic properties have been calculated for comparison with previously reported experimental and computational studies including component density profiles, deuterium order parameters, surface pressure and tension, and the monolayer-water potential difference relative to a pure water-air interface. Having validated the CHEQ force field for use with both lipid bilayer and monolayer systems, as well as having identified areas where improvement is needed, we apply an intermediate, revised version of the force field to study the energetics of an arginine side-chain analog, methyl guanidinium, as it crosses a DPPC lipid bilayer. Combining umbrella sampling MD simulations with the Weighted Histogram Analysis Method (WHAM) for unbiasing probabilities, we compute a potential of mean force (PMF) for the reversible transfer of methyl guanidinium from bulk solution to bilayer center. Decomposition of the PMF in component contributions allows us to investigate the role of lipid and solvent to the energetics of permeation. Finally, through a series of simulations in which water is first prevented from entering the bilayer center where methyl guanidinium is restrained and then, after equilibration, allowed to enter the bilayer, we find that water permeation into the bilayer is required for the deformation of individual lipid molecules and permeation of ions into the membrane.
Dwelling Detection on VHR satellite imagery of Refugee/ IDP camps using Faster R-CNN

This Bachelor Thesis describes a new method for dwelling detection on Very High Resolution (VHR)-Satellite imagery using Faster-RCNN developed for the BMBFproject HUMAN+1. HUMAN+ aims to develop a real-time situational awareness application for efficient migration management to guarantee humanitarian security. The described method and a corresponding workflow are used in a remote sensing module in the input layer of the HUMAN+ application. It analyses VHR-satellite images of refugee camps, finds all dwellings on the image and calculates an estimate of the number of tents (i.e. dwellings) and people in the camp. To find the dwellings, a Faster R-CNN is used. RCNNs build a special neural network on a regular CNN to use them for object detection. This thesis describes the generation of training data, the training of a Faster R-CNN and the utilization of the trained Faster R-CNN in a dwelling detection application.
Low-Energy Electron-Induced Hydroamination Reactions between Different Amines and Olefins

Thermal desorption spectrometry (TDS) was applied to investigate reactions initiated by electron exposure of multilayer condensed films containing both an olefin and an amine or ammonia. In all cases, electron-induced hydroamination reactions leading to addition of ammonia or an amine to the C═C double bond of the olefin were detected. The dependence of the hydroamination product yield on the electron energy was studied for mixtures of ethene with ammonia, ethylamine, and diethylamine and points, in all three cases, to an ionization-driven process. Concurrent reactions include the formation of larger hydrocarbons as well as fragmentation of the reactants and, in particular, of the amines so that higher substituted analogues are obtained even without the presence of an olefin. The mechanisms of these reactions are reviewed and an ionization-driven olefin dimerization is proposed that closely resembles the previously described hydroamination. The results underline the general concept of electron-induced syn.
Data Curation, Fisheries, and Ecosystem-based Management: the Case Study of the Pecheker Database

The scientific monitoring of the Southern Ocean French fishing industry is based on the use the Pecheker database. Pecheker is dedicated to the digital curation of the data collected on field by scientific observers and which analysis allows the scientists of the Muséum national d’Histoire naturelle institution to provide guidelines and advice for the regulation of the fishing activity, the protection of the fish stocks and the protection of the marine ecosystems. The template of Pecheker has been developed to make the database adapted to the ecosystem-based management concept. Considering the global context of biodiversity erosion, this modern approach of management aims to take account of the environmental background of the fisheries to ensure their sustainable development. Completeness and high quality of the raw data is a key element for an ecosystem-based management database such as Pecheker. Here, we present the development of this database as a case study of fisheries data curation to be shared with the readers. Full code to deploy a database based on the Pecheker template is provided in supplementary materials. Considering the success factors we could identify, we propose a discussion about how the community could build a global fisheries information system based on a network of small databases including interoperability standards. Received 22 August 2019 ~ Revision received 12 March 2021 ~ Accepted 7 April 2021 Correspondence should be addressed to Alexis Martin, UMR BOREA/Muséum national d’Histoire naturelle, 43 rue Cuvier, 75005 Paris, France. Email: alexis.martin@mnhn.fr The International Journal of Digital Curation is an international journal committed to scholarly excellence and dedicated to the advancement of digital curation across a wide range of sectors. The IJDC is published by the University of Edinburgh on behalf of the Digital Curation Centre. ISSN: 1746-8256. URL: http://www.ijdc. net/ Copyright rests with the authors. This work is released under a Creative Commons Attribution Licence, version 4.0. For details please see https://creativecommons.org/licenses/by/4.0/ International Journal of Digital Curation 2021, Vol. 16, Iss. 1, 31 pp. 1 http://dx.doi. org/10.2218/ijdc.v16. i1.674 DOI: 10.2218/ijdc.v16i1.674 2 | Data Curation, Fisheries and Ecosystem-based Management
Lattice melting and superconductivity in a group IV-VI compound

Inspired by the rich physical properties of IV-VI compounds, we choose polycrystalline ${\mathrm{Pb}}_{0.99}{\mathrm{Cr}}_{0.01}\mathrm{Se}$ to investigate its structural, vibrational, and electrical transport properties under pressure up to 50 GPa. The structural transitions from the $B1$ to $Pnma$ phase and then to the $B2$ phase in this sample are verified by the x-ray diffraction and Raman scattering measurements. The formation of the intermediate phase is suggested to be mediated by Peierls distortion, and the broad hump in the temperature-dependent resistivity in the intermediate phase gives further evidence of this phenomenon. When the material evolves into the $B2$ phase, superconductivity is observed to emerge, accompanied by suppressing the broad hump of resistivity at intermediate temperatures. Meanwhile, Hall coefficient measurements indicate that the carrier type changes during the structural transitions. These results suggest that the superconductivity in the $B2$ phase for this material is originated by ``melting'' the Peierls lattice distortion. By extending the present findings to other similar IV-VI semiconductors, we propose that all group IV-VI compounds could exhibit superconductivity in their $B2$ phase due to the lattice melting at high pressures.