Miracle-dz/UniFAR-FTUs huggingface dataset:
Validity and Reliability of the Thai Version of the Barthel Index for Elderly Patients with Femoral Neck Fracture

Background: Hip fracture is a common osteoporotic fracture that requires a specific outcome measurement tool to evaluate functional status. The authors aimed to develop the Thai version of the Barthel Index (TVBI) and to evaluate the validity and reliability of TVBI for assessment of elderly patients with femoral neck fracture. Material and Method: The Barthel Index (BI) was translated into Thai using a forward-backward translation protocol. Fifty-three patients with low-energy femoral neck fracture were then prospectively enrolled and evaluated with TVBI, the de Morton Mobility Index (DEMMI), the EuroQol-5D (EQ-5D), the two-minute walk test (2MWT), and the timed get-up-and-go test (TUG) within 2 weeks after surgery. Validity of TVBI was assessed by calculating the index of item-objective congruence and correlating TVBI scores with scores from other outcome measurements. TVBI reliability was evaluated by measuring test-retest reliability and internal consistency. Results: TVBI had high content validity and strong correlation with DEMMI (Spearman’s rho = 0.629; p-value <0.001), and moderate correlation with EQ-5D utility score, EQ-5D visual analog scale, and 2MWT (Spearman’s rho = 0.452, 0.313, and 0.413, respectively; p-value <0.05). Interobserver and intraobserver reliabilities of TVBI were high, with intraclass correlation coefficients of 0.714 and 0.968, respectively. The internal consistency of TVBI was acceptable (Cronbach’s alpha = 0.694). Conclusion: TVBI yields good validity and reliability, is without floor or ceiling effects, and can be used in all patients during early postoperative treatment after femoral neck fracture.
Secure Parameters for Multivariate Polynomial Signature Scheme QR-UOV

: The multivariate-based unbalanced oil and vinegar signature scheme (UOV) is expected to be one of the candidates for post-quantum cryptography (PQC). UOV is a well-established signature scheme owing to its short signature and execution time. However, its public key is much larger than that of other PQC candidates. At ASIACRYPT 2021, Furue et al. proposed quotient ring UOV (QR-UOV) as a new variant of UOV, which reduces the public key size compared to the plain UOV. However, there has not been a formal security proof and detailed parameter analysis for QR-UOV. In this paper, one of our contributions is that we present the formal deﬁnitions of two assumptions and prove the EUF-CMA security of QR-UOV based on these assumptions. Furthermore, we propose various parameter sets of QR-UOV with diﬀerent security levels, the orders of the ﬁnite ﬁeld, and the purposes, and estimate the public key and signature size of these parameters. By comparing the public key and signature size of these parameter sets with that of other PQC candidates, we discuss the (dis)advantages of each parameter set.
CATIE Robotics @Home 2020 Team Description Paper

This paper provides an overview of the CATIE Robotics Team’s activities for participating at the RoboCup@Home 2020 in Bor-deaux. A TIAGo 1 called Epock is used as the main robotic platform. Safe and autonomous navigation is achieved by integrating ROS compatible components. Snips, an oﬄine, free tool is used for both speech recognition and natural language understanding. State-of-the-art neural networks are used for face recognition, person tracking and object detection. Problem speciﬁc developments are successfully tested for object localization. A Human-centered approach is used to enhance Epock’s interactions. A simple but functional grasping pipeline is implemented. In 2019, good results have been achieved in three international robotics competitions validating the strong technical foundation the team has built. This document describes selected components, shares some feed-back and discusses possible improvements.
Population Structure of Vibrio ﬁscheri within the Light Organs of Euprymna scolopes Squid from Two Oahu (Hawaii) Populations (cid:1) †

We resolved the intraspeciﬁc diversity of Vibrio ﬁscheri , the bioluminescent symbiont of the Hawaiian sepiolid squid Euprymna scolopes , at two previously unexplored morphological and geographical scales. These scales ranged from submillimeter regions within the host light organ to the several kilometers encompassing two host populations around Oahu. To facilitate this effort, we employed both novel and standard genetic and phenotypic assays of light-organ symbiont populations. A V . ﬁscheri -speciﬁc ﬁngerprinting method and ﬁve phenotypic assays were used to gauge the genetic richness of V . ﬁscheri populations; these methods conﬁrmed that the symbiont population present in each adult host’s light organ is polyclonal. Upon statistical analysis of these genetic and phenotypic population data, we concluded that the characteristics of symbiotic populations were more similar within individual host populations than between the two distinct Oahu populations of E . scolopes , providing evidence that local geographic symbiont population structure exists. Finally, to better understand the genesis of symbiont diversity within host light organs, the process of symbiosis initiation in newly hatched juvenile squid was examined both experimentally and by mathematical modeling. We concluded that, after the juvenile hatches, only one or two cells of V . ﬁscheri enter each of six internal epithelium-lined crypts present in the developing light organ. We hypothesize that the expansion of
Development of low glycemic index pancakes formulated with canary seed (Phalaris canariensis) �our

Consumers prefer food products that, in addition to chemical and nutritional properties, also have effects bene�cial to health. The use of non-conventional food plants such as canary seed (Phalaris canariensis) constitutes an alternative in the food industry due to nutritional properties, chemical and bioactive potential. The aim of this research was to develop pancake formulations with the inclusion of canary seed �our to evaluate their chemical composition, sensory acceptability, and glycemic index. Pancakes based on whole-wheat �our mixed with canary seed �our were developed at three substitution levels (10, 30, and 50%). The formulations exhibited attractive nutritional properties, mainly due to the levels of protein (~ 8.7%), minerals (~ 5.1%), and total dietary �ber (4.7–5.9%). The perception of the attributes showed a statistical difference (p < 0.05) between the formulations. The �ours with 10 and 30% showed high sensory acceptability with average scores of 6.22 and 6.67, between the categories "I like it" and "I like it a lot". All formulations presented a low glycemic index (34–39%) that was signi�cantly in�uenced (p < 0.05) as the level of substitution increased. The �ndings represent a new approach to the use of canary seed in the development of healthy food products.
Clinical Case Reports International

Background: Menstruation is defined as the periodic flow of blood that occurs due to the shedding of endometrium lining. It is a natural phenomenon but it plays a crucial role in the Quality of Life (QOL) of women and comprehends to impact women’s health, as it leads to a lot of physical, psychological, and emotional changes during the luteal and follicular phase which affect the daily activities of women of reproductive age. All the physical and emotional stress related to menstruation that befalls just before, during, or just after the bleeding days of the menstrual cycle which is caused by the fluctuations of female reproductive hormones is called menstrual distress. Objective: The ambition of this research was to evaluate the influence of menstrual distress on the QOL of women and its impact on overall health. The study also includes the evaluation of factors that impact menstrual distress and the levels of menstrual distress and overall QOL in different age groups. Study Design: The sample study included 210 participants. Two questionnaires were used to collect data: Self-administered Menstrual Health Survey (MHS) questionnaire and WHOQOL-BREF questionnaire. Data is analyzed in SPSS 22 software using statistical methods like Pearson correlation and t-independent sample test. To analyze the levels of menstrual distress and overall QOL in different age groups, sample was divided into two groups; the 15 to 30 age group and the 31 to 50 age group. Results: Contemplating the menstrual history variables and MDS, the correlation coefficient was found to be positive and the p-value was less than the significance level in case of duration of bleeding days (p<0.05) and the amount of menstrual flow (p<0.01). Interpreting the lifestyle variables and MDS, it was observed that the correlation coefficient was negative and the p-value was less than the significance level in case of given birth to a baby (p<0.05). In case of MDS and quality of life, it was also observed that the correlation coefficient was negative and the p-value was less than the significance level in both instances quality of life during periods (p<0.01) and overall health (p<0.05). The level of menstrual distress and overall QOL in two different groups was evaluated through t-independent sample test, it was noticed that p-value was less than the significance level in case of both menstrual distress score (p<0.05) and WHOQOL-BREF score (p<0.01). Conclusion: From the correlation analysis, it is concluded that menstrual distress has a negative impact on the QOL of women during periods and on overall health. It was also observed that the longer the duration of bleeding days and heavy the amount of menstrual flow, the more is the menstrual distress. Moreover, it is evident that post-parturition the level of menstrual distress decreases. Also, the levels of menstrual distress and QOL in the two groups are significantly different.
ScholarWorks@BGSU ScholarWorks@BGSU

This study examines the effects of a brief 20-minute single-session mindfulness meditation session on electroencephalogram (EEG) asymmetry, as well as the positive and negative affect scale (PANAS). It was hypothesized that mindfulness meditation would significantly decrease negative emotions through an increase of alpha band wavelengths to the right hemisphere and thereby resulting in greater left hemispheric activity. The results from the experiment using 10 Bowling Green State participants demonstrated that there was no significant difference between the mindfulness condition and the comparison condition in any of the dependent variables. Strengths and limitations of this study were discussed.
Rousseau and Freire: The Case for Freedom and Humanization

In this paper, we engage with and against Jean-Jacques Rousseau and Paulo Freire’s educational thoughts on freedom and humanization. This is borne out of the need to interrogate their commitments to the field of philosophy and humanity. The essence of Rousseau and Freire’s philosophical parlance in this paper is to examine possible implications on teacher and adult education programs. Hence, we considered Rousseau’s thoughts on the state of nature, the general will and the common good and the necessity for freedom. Equally, we took into account Freire’s position for and against freedom, humanisation and dehumanization. We conclude this paper by proposing that both Rousseau and Freire are great contributors to knowledge yet their educational ideas are not beyond some reflections.
Proceedings of the Society for Computation in Linguistics Proceedings of the Society for Computation in Linguistics

We perform statistical analysis of the phenomenon of neology , the process by which new words emerge in a language, using large diachronic corpora of English. We investigate the importance of two factors, semantic sparsity and frequency growth rates of semantic neighbors, formalized in the distributional semantics paradigm. We show that both factors are predictive of word emergence although we ﬁnd more support for the latter hypothesis. Besides presenting a new linguistic application of distributional semantics, this study tackles the linguistic question of the role of language-internal factors (in our case, sparsity) in language change motivated by language-external factors (reﬂected in frequency growth). 1
Impacts of Multi-gas Strategies for Greenhouse Gas Emission Abatement: Insights from a Partial Equilibrium Model

The Version 5 of the POLES model has been developed for the assessment of multi-gas emission reduction strategies. Abatement options have been introduced for all non-CO2 GHGs in the Kyoto Basket and, for the agricultural sector, Marginal Abatement Cost curves have been derived from the new AGRIPOL model. Combined with an international emission permit scheme that is based on the Soft Landing approach, an emission profile respecting climate targets of 550 ppmv provides a relatively soft constraint case for developing countries. The multi-gas analyses first of all demonstrate the relevance of the approach as changing from a CO2-only to a multi-gas strategy either allows to increase total abatement of 25% for the same Marginal Abatement Cost or to decrease the MAC of approximately 30% for the same total abatement. Not surprisingly however, the impacts on world demand and primary fuel mix are less pronounced in the multi-gas case. This is easily understandable as a counterpart for introducing more margins of freedom in the abatement effort.
Countering the Winner ’ s Curse : Optimal Auction Design in a Common Value Model ∗ Dirk Bergemann

We characterize revenue maximizing mechanisms in a common value environment where the value of the object is equal to the highest of bidders’ independent signals. If the object is optimally sold with probability one, then the optimal mechanism is simply a posted price, with the highest price such that every type of every bidder is willing to buy the object. A sufficient condition for the posted price to be optimal among all mechanisms is that there is at least one potential bidder who is omitted from the auction. If the object is optimally sold with probability less than one, then optimal mechanisms skew the allocation towards bidders with lower signals. This can be implemented via a modified Vickrey auction, where there is a random reserve price for just the high bidder. The resulting allocation induces a “winner’s blessing,” whereby the expected value conditional on winning is higher than the unconditional expectation. By contrast, standard auctions that allocate to the bidder with the highest signal (e.g., the first-price, second-price or English auctions) deliver lower revenue because of the winner’s curse generated by the allocation rule. Our qualitative results extend to more general common value environments where the winner’s curse is large.
Selection of Optimal Agricultural Non-Point Source Pollution Prevention and Control Techniques Based on Effect and Cost of Their Pollution Reduction: A Case Study of the Taihu Region

In preventing and controlling agricultural non-point source pollution,it is essential to take into account both pollution reducing effect of a technique and engineering construction-operation costs of the technique. AHP( analytical hierarchy process) coupled with GRAP( grey correlation degree process) was used to select the most suitable ones out of the73 typical technologies for preventing and controlling agricultural( planting,livestock and poultry breeding,aquaculture)non-point source pollution available in the past 20 years in China. A total of 12 were obtained preliminarily in the light of pollutants( TN,TP,NH3-N,COD) reducing effects and construction-operation costs. Results show that for controlling non-point source pollution from farming,the technology of plant-microbe complex for treating field drainage is the best and followed by the technology of ecological buffering ditches; for controlling non-point source pollution from livestock an poultry breeding,the technology of wastewater land filtering system is the best and followed by the technology of artificial wetlands; and for controlling non-point source pollution from aquaculture,the technology of complex filling sequencing batch biofilm reactor is the best and followed by the technology of complex biological-ecological treatment. In light of the actual situation of the Taihu region,the technology of ecological buffering ditches is very suitable for controlling agricultural nonpoint source pollution with field drainage,the technology of wastewater land filtering system is treating wastewater from livestock and poultry breeding in the upper stream of the Taihu Lake Region,and the technology of complex filling sequencing batch biofilm reactor is for treating waste water from aquaculture. The AHP-GRAP method used in the selection is good enough to meet the demand for consideration of both pollution reducing effects and construction-operation costs in comparing and selecting agricultural non-point source pollution control technologies.
Are Pieces of Contextual Information Suitable for Predicting Co-Changes? An Empirical Study

Models that predict software artifact co-changes have been proposed to assist developers in altering a software system, and they often relying on coupling. However, developers have not yet widely adopted these approaches, presumably because of the high number of false recommendations. In this work, we conjecture that the contextual information related to software changes, which is collected from issues (e.g., issue type, reporter, etc.), developers' communication (e.g., number of issue comments, issue discussants, words in the discussion, etc.), and commit metadata (e.g., number of lines added, removed, and modified), improves the accuracy of co-change prediction. We built customized prediction models for each co-change and evaluated the approach on 129 releases from a curated set of 10 Apache Software Foundation projects. Comparing our approach with the widely-used association rules as a baseline, we found that contextual information models and association rules provide a similar number of co-change recommendations, but our models achieved a significantly higher F-measure. In particular, we found that contextual information significantly reduces the number of false recommendations compared to the baseline model. We conclude that contextual information is an important source for supporting change prediction and may be used to warn developers when they are about to miss relevant artifacts while performing a software change.
Computation Overhead Optimization Strategy and Implementation for Dual-Domain Sparse-View CT Reconstruction

—Sparse-view computed tomography (CT) significantly reduces radiation doses to the human body, whereas its analytical reconstruction exhibits severe streak artifacts. Recently, deep learning methods have shown exciting effects in CT reconstruction. The Dual-Domain (DuDo) deep learning method is one of the representative methods, and it can process the information in both the sinogram and image domains. However, the existing DuDo methods do not pay enough attention to the allocation of training costs and strategies for the two domains. In this paper, we propose a Computation-Overhead Optimization (COO) DuDo training strategy for sparse-view CT reconstruction, i.e., COO-DuDo. The training ratio of different domains is controlled by calculating their computation overhead, loss, and gradient variation of the loss. To make our COO-DuDo strategy enable sparse-view CT reconstruction better, we adopt a DuDo-Network (COO-DDNet) structure based on two coding-decoding-type subnetworks. As specific contributions, we design a Multilevel Cross-domain Connection (MCC) method to connect the decoding layers of the same scale in the two subnetworks and adopt the two-channel method for up-sampling, which enables more fine-grained control of model updates and suppresses checkerboard artifacts. The evaluation results validate the effectiveness of our training strategy and methods. The peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) of the reconstruction results increased by 38.8% and 0.37%, respectively, and the model convergence time decreased by 11.8%. Our research provides a broader perspective for dual-domain image restoration tasks from the perspective of computational overhead.
Comparisons of Signals

A (Blackwell) experiment speciﬁes the joint distribution of truth and the data generated by the experiment. A signal speciﬁes the joint distribution of truth, the data generated by the signal, and the data generated by any other signal. Describing two experiments does not determine their joint informational content; describing two signals does. Blackwell (1953) studied (equivalent) comparisons of experiments; he characterized when one experiment is more valuable than another regardless of the preferences of the agent. We study (various, non-equivalent) comparisons of signals. Among other comparisons, we characterize when one signal is more valuable than another regardless of the preferences of the agent and regardless of what other information the agent may have. We show this comparison is equivalent to a new condition, termed reveal-or-reﬁne, which says that for every piece of data that could be generated by the more valuable signal, either that data reveals the truth, or it reﬁnes the data generated by the less valuable signal.
Channel Refinement of Fingerprint Preprocessing Models

: Deep models are the state-of-the-art models for fingerprint preprocessing. However, these models have very high number of parameters, usually in millions. As a result, redundancy is observed among the features learnt by deep learning based fingerprint preprocessing models. A popular technique to help deep models learn distinct and informative features is channel refinement. A recent study has illustrated the capability of channel refinement to improve generalization of fingerprint enhancement models. Motivated by the above-mentioned study, this chapter delves into presenting a detailed study illustrating the usefulness of channel refinement in reducing redundancy and imparting generalization ability to fingerprint enhancement models. Furthermore, we extend this study to assess whether channel refinement generalizes on fingerprint ROI segmentation. Extensive experiments on fourteen challenging publicly available fingerprint databases and a private database of fingerprints of the rural Indian population are conducted to assess the potential of channel refinement on fingerprint preprocessing models.
Propagation effects handbook for satellite systems design. A summary of propagation impairments on 10 to 100 GHz satellite links with techniques for system design

This Propagation Handbook provides satellite system engineers with a concise summary of the major propagation effects experienced on Earth-space paths in the 10 to 100 GHz frequency range. The dominant effect, attenuation due to rain, is dealt with in some detail, in terms of both experimental data from measurements made in the U.S. and Canada, and the mathematical and conceptual models devised to explain the data. In order to make the Handbook readily usable to many engineers, it has been arranged in two parts. Chapters 2-5 comprise the descriptive part. They deal in some detail with rain systems, rain and attenuation models, depolarization and experimental data. Chapters 6 and 7 make up the design part of the Handbook and may be used almost independently of the earlier chapters. In Chapter 6, the design techniques recommended for predicting propagation effects in Earth-space communications systems are presented. Chapter 7 addresses the questions of where in the system design process the effects of propagation should be considered, and what precautions should be taken when applying the propagation results.