Miracle-dz/UniFAR-FTUs huggingface dataset:
Generation of "independent" points on elliptic curves by means of Mordell-Weil lattices

This article develops a novel method of generating “inde-pendent” points on an ordinary elliptic curve over a finite field of large characteristic. Such points are actively used, e.g., in the Pedersen vector commitment scheme and its modifications. The conventional generation consists in sampling points successively via a hash function to the elliptic curve. The new generation method equally satisfies the NUMS (Nothing Up My Sleeve) principle, but it works faster on average. In other words, instead of finding each point separately, it is suggested to sample several points at once with a non-small probability. Moreover, explicit formulas are represented for up to four “independent” points on any curve of j -invariant 0. Such curves are known to be very popular in elliptic cryptography.
Rotary ultrasonic drilling of Ti6Al4V: Effects of machining parameters and tool diameter

This article presents the use of the rotary ultrasonic machining process for drilling holes in Ti6Al4V alloy which is regarded as a difficult-to-cut material due to its high-temperature strength and low thermal conductivity. This research presents an experimental investigation on the effect of the key rotary ultrasonic machining input parameters including ultrasonic power, spindle speed, feed rate, and the tool diameter on the main output responses including cutting force, hole cylindricity and overcut errors, and tool wear. No previous reports were found in literature to experimentally investigate the effect of the rotary ultrasonic machining parameters and the tool diameter on tool wear, surface integrity, and the accuracy of the drilled holes in Ti6Al4V alloy. The results showed that the rotary ultrasonic machining input parameters within the current ranges can significantly affect the quality of the drilled holes. Through proper selection of input parameters, holes could be drilled in Ti6Al4V alloy with smoothed surface morphology, low tool wear (0.7 mg) and very low cylindricity (2 µm) and overcut (120 µm) errors. Moreover, it was found that the selected level of any input parameter has the ability to significantly affect the influence of the other input parameters on the output responses.
Modeling Suicidality Risks and Understanding the Phenomenon of Suicidality Under the Loop of the COVID-19 Pandemic: National Findings of the COMET-G Study in the Russian Population

BACKGROUND: Suicidality is a complex clinical phenomenon re ﬂ ecting vulnerability to suicidal behavior which can be explained via the biopsychosocial paradigm and in relationship with a variety of country-speci ﬁ c factors. Data on suicides within the Russian population are inconsistent (from 11.7 up to 25.1 per 100.000), whereas the population’s suicidality risks have not been investigated in detail. Suicidality estimates during the multifactorial in ﬂ uence of the COVID-19 pandemic could serve as a basis to learn more about this mental health indicator. METHODS: The current study is a part of the COMET-G international project (40 countries, n =55.589), which represents an analysis of data collected from Russia’s general population ( n =7714, 33±12 y.o., 61% female) to estimate suicidality using the Risk Assessment Suicidality Scale (RASS) and its relationships with socio-demographic, clinical, and life-habit characteristics during the COVID-19 pandemic. The evaluation of the statistical data (descriptive statistics, ANOVA, LASSO linear regression, signi ﬁ cant at α =0.05) was undertaken using TIBCO Statistica. RESULTS: According to the RASS, at least 20.68%, and up to 29.15%, of the general population in Russia demonstrated increased risk of suicidality during the pandemic. Modelling these risks pointed to the key vulnerabilities related to mental and behavioral disorders, such as (i) current severe depression and a history of mental disorders, (ii) (cid:98) bipolar disorder, (iii) use of illicit drugs surprisingly outranking the alcohol misuse, and psychiatric compounds (hypnotics), highlighting sleep quality deterioration, (iv) a history of suicide attempts and self-harm — though not self-reported changes in depression — in response were predictors of the risk of suicidality, which can be explained by the phenomenon of “learned suicidality”, a habitual behavioral suicidality pattern completion accumulated over the background. Such (v) socio-demographic indicators as younger age (disregarding the gender factor), a marital status of single, having no children, living with fewer people in the household, a recent increase in family con ﬂ icts, increased need for emotional support, decreased need for communication, and not believing in precautionary measures against COVID-19, contributed to the increase of suicidality risk in the context of the pandemic. CONCLUSIONS: The ﬁ ndings of this study revealed new suicide risk factors that should be taken into account in suicidality risk assessments for the Russian population and in the implementation of suicide prevention programs in the region. the dynamic of suicidality risks and suicidality rates and their connections with the risk factors in the context of the pandemic is a separate, and di ﬃ cult, task for the international professional community.
Static vs. Adaptive Security in Perfect MPC: A Separation and the Adaptive Security of BGW

Adaptive security is a highly desirable property in the design of secure protocols. It tolerates adversaries that corrupt parties as the protocol proceeds, as opposed to static security where the adversary corrupts the parties at the onset of the execution. The well-accepted folklore is that static and adaptive securities are equivalent for perfectly secure protocols. Indeed, this folklore is backed up with a transformation by Canetti et al. (EUROCRYPT’01), showing that any perfectly secure protocol that is statically secure and satisfies some basic requirements is also adaptively secure. Yet, the transformation results in an adaptively secure protocol with inefficient simulation (i.e., where the simulator might run in super-polynomial time even if the adversary runs just in polynomial time). Inefficient simulation is problematic when using the protocol as a sub-routine in the computational setting. Our main question is whether an alternative efficient transformation from static to adaptive security exists. We show an inherent difficulty in achieving this goal generically. In contrast to the folklore, we present a protocol that is perfectly secure with efficient static simulation (therefore also adaptively secure with inefficient simulation), but for which efficient adaptive simulation does not exist (assuming the existence of one-way permutations). In addition, we prove that the seminal protocol of Ben-Or, Goldwasser and Wigderson (STOC’88) is secure against adaptive, semi-honest corruptions with efficient simulation. Previously, adaptive security of the protocol, as is, was only known either for a restricted class of circuits, or for all circuits but with inefficient simulation.
Electrical vestibular stimulation for human standing balance and motion perception: Effects of stimulation arrangement and signal design

Vestibular information from both sides of the head converges within the vestibular nuclei to contribute to postural stabilization of the head and body, and to provide accurate perceptions of self-motion. It remains uncertain whether these responses are evoked through equivalent integration processes, because our perception of head position is not always aligned with postural responses evoked by vestibular perturbations, where postural responses are expected to align with head orientation. In this study, we examine if the contributions from bilateral vestibular organs are equal in postural responses and the perceptions of motion that are evoked during an artificial vestibular disturbance. This study also examines whether there is a linear integration of vestibular signals in the postural responses and perceived motion generated by the vestibular disturbance. Electrical vestibular stimulation (EVS) was used to evoke whole-body and compensatory ankle-muscle responses during a standing balance task or the sensation of angular velocity about a roll axis during a perceived motion task. Stimulation on one side (monaural) was used to demonstrate if individual leg muscles receive equal inputs from both labyrinths, and if the motion perceived by activity of each labyrinth is equivalent. Principles of left-right integration were evaluated by comparing the sum of monaural responses with stimulation on both sides (binaural).
Reproducibility Study: Web2Text

Reproducibility describes the ability to replicate research results in the same research setting. Ensuring reproducibility of research in computer science is key to enable further scientific advances based on the findings. For this study, we analyse the paper “Web2Text: Deep Structured Boilerplate Removal” (2018) of Vogels et al. on its reproducibility. Boilerplate removal is an important step of information retrieval where the main content of a web pageisstrippedfromitsnavigationalcontent.Wegeneratebootstrapsamplesoftheoriginaldatasetandretrainthemodeloneachonetoconfirmthatthe publishedperformanceresultsarewithinacertainconfidenceinterval.Asasecondstep,wetestthepre-trainedmodelperformanceonamodernweb pagedatasetandcomparetheresultstootheralgorithmsthatwereusedasabaselinefortheoriginaldataset.Insummary,theresultsofthepapercan beconfirmed.Onthemoderndataset,theWeb2Textmodeloutperformstheotheralgorithmsaswell.Forthereproductionofthispaper,theprovisionof codeanddatawithinstructionsonhowtorunthecodewascrucial. Additional Key Words and Phrases: reproducibility study, boilerplate removal, information retrieval, experiment design, convolutional neural network, CleanEval, GoogleTrends-2017
to response maps: discriminative image filtering for face alignment in the wild. IEEE

—We propose a face alignment framework that relies on the texture model generated by the responses of discriminatively trained part-based ﬁlters. Unlike standard texture models built from pixel intensities or responses generated by generic ﬁlters (e.g. Gabor), our framework has two important advantages. Firstly, by virtue of discriminative training, invariance to external variations (like identity, pose, illumination and expression) is achieved. Secondly, we show that the responses generated by discriminatively trained ﬁlters (or patch-experts) are sparse and can be modeled using a very small number of parameters. As a result, the optimization methods based on the proposed texture model can better cope with unseen variations. We illustrate this point by formulating both part-based and holistic approaches for generic face alignment and show that our framework outperforms the state-of-the-art on multiple ”wild” databases. The code and dataset annotations are available for research purposes from http://ibug.doc. ic.ac. uk/resources .
Biserial minor degenerations of matrix algebras over a ﬁeld

Let n ≥ 2 be a positive integer, K an arbitrary ﬁeld, and q = [ q (1) | . | q ( n ) ] an n -block matrix of n × n square matrices q (1) , . , q ( n ) with coeﬃcients in K satisfying the conditions (C1) and (C2) listed in the introduction. We study minor degenerations M qn ( K ) of the full matrix algebra M n ( K ) in the sense of Fujita-Sakai-Simson [7]. A characterisation of all block matrices q = [ q (1) | . | q ( n ) ] such that the algebra M qn ( K ) is basic and right biserial is given in the paper. We also prove that a basic algebra M qn ( K ) is right biserial if and only if M qn ( K ) is right special biserial. It is also shown that the K -dimensions of the left socle of M qn ( K ) and of the right socle of M qn ( K ) coincide, in case M qn ( K ) is basic and biserial.
SUBJECTIVE ORAL HEALTH PERCEPTION AND CHEWING DISCOMFORT DEPENDING ON ORAL HEALTH CARE BEHAVIOR

In order to provide the baseline data for reducing chewing discomfort and improving the level of subjective oral health perception by grasping the correlation among oral health care behavior, subjective oral health status and chewing discomfort, this study utilized the data from 2015 Community Health Survey of the Gyeongnam region, which has been conducted annually by the Korea Centers for Disease Control and Prevention since 2008. As for the oral health care behavior, the examination rate was 22%, the experience rate for brushing after lunch was 46.7%, the scaling experience rate was 32.1%, and the rate of experiencing no dental treatment was 24.6%. The subjective oral health status depending on the oral health care behavior was higher for those who go through oral examinations, brush after lunch, and have experiences of scaling and dental treatment. The level of chewing discomfort depending on the oral health care behavior was higher for those who go through oral examinations, do not brush after lunch, and have no experiences of scaling and dental treatment. Since the levels of subjective health perception and chewing discomfort are higher when the age group is older and the area of residence is the rural area, the medical institution accessibility should be improved and methodical educational system should be established to allow for regular and continuous education.
A novel FRET-based screen in high-throughput format to identify inhibitors of malarial and human glucose transporters

The glucose transporter PfHT is essential to the survival of the malaria parasite Plasmodium falciparum and has been shown to be a druggable target with high potential for pharmacological intervention. Identiﬁcation of compounds against novel drug targets is crucial to combating resistance against current therapeutics. Here, we describe the development of a cell-based assay system readily adaptable to high-throughput screening that directly measures compound effects on PfHT-mediated glucose transport. Intracellular glucose concentrations are detected using a genetically encoded ﬂuorescence resonance energy transfer (FRET)-based glucose sensor. This allows assessment of the ability of small molecules to inhibit glucose uptake with high accu-racy (Z = factor of > 0.8), thereby eliminating the need for radiolabeled substrates. Furthermore, we have adapted this assay to counterscreen PfHT hits against the human orthologues GLUT1, -2, -3, and -4. We report the identiﬁcation of several hits after screening the Medicines for Malaria Venture (MMV) Malaria Box, a library of 400 compounds known to inhibit erythrocytic development of P. falciparum . Hit compounds were characterized by determining the half-maximal inhibitory concentration (IC 50 ) for the uptake of radiolabeled glucose into isolated P. falciparum parasites. One of our hits, compound MMV009085, shows high potency and orthologue selectivity, at room temperature using the methods described previously (19). Test compounds were added 5 min prior to the addition of [ 14 C]2-DOG (0.2- (cid:2) Ci/mlﬁnalconcentration). Uptakewasquenchedafter2min. DatawereﬁtbynonlinearregressionanalysisusingGraphPadPrismsoftware. Up-takeof[ 3 H]2-DOG into HEK293-FLIP cells was measured in HEPES-buffered saline at room temperature for 4 min as described previously (20). DatawereﬁtbynonlinearregressionanalysisusingGraphPadPrismsoftware. performed by M.P. IC 50 determinations for parasite growth inhibition and parasite culture performed by super-vised by A.R. O. Radiolabel uptake experiments with HEK293 were performed by M.R. H. Radiolabel uptake experiments with parasites were performed by M.R. H. qPCR experiments performed by for parasite culture and drug mechanism. High-throughput screening protocols and ex-ecuted and T.E. K. all coauthors, and T.E. K.
Estimating the NH3:H2SO4ratio of nucleating clusters in atmospheric conditions using quantum chemical methods

We study the ammonia addition reactions of H 2 SO 4 · NH 3 molecular clusters containing up to four ammonia and two sulfuric acid molecules using the ab initio method RI-MP2 (Resolution of Identity 2nd order Møller-Plesset perturbation theory). Together with results from previous studies, we use the computed values to estimate an upper 5 limit for the ammonia content of small atmospheric clusters, without having to explicitly include water molecules in the quantum chemical simulations. Our results indicate that the NH 3 :H 2 SO 4 mole ratio of small molecular clusters in typical atmospheric conditions is probably around 1:2. High ammonia concentrations or low temperatures may lead to the formation of ammonium bisulfate (1:1) clusters, but our results rule out the formation 10 of ammonium sulfate clusters (2:1) anywhere in the atmosphere. A sensitivity analysis indicates that the qualitative conclusions of this study are not a ﬀ ected even by relatively large errors in the calculation of electronic energies or vibrational frequencies.
Institutional Knowledge at Singapore Management University New efficient MDS array codes for RAID part II: Rabin-like codes for tolerating multiple (>=4) disk failures

—A new class of Binary Maximum Distance Separable (MDS) array codes which are based on circular permutation matrices are introduced in this paper. These array codes are used for tolerating multiple ( (cid:1) 4 ) disk failures in Redundant Arrays of Inexpensive Disks (RAID) architecture. The size of the information part is m (cid:2) n , where n is the number of information disks and ð m þ 1 Þ is a prime integer; the size of the parity-check part is m (cid:2) r , the minimum distance is r þ 1 , and the number of parity-check disks is r . In practical applications, m can be very large and n ranges from 20 to 50. The code rate is R ¼ nn þ r . These codes can be used for tolerating up to r disk failures, with very fast encoding and decoding. The complexities of encoding and decoding algorithms are O ð rmn Þ and O ð m 3 r 4 Þ , respectively. When r ¼ 4 , there need to be 9 mn XOR operations for encoding and ð 9 n þ 95 Þð m þ 1 Þ XOR operations for decoding.
THE FORCES ACTING ON BUBBLES AND RIGID PARTICLES

This paper reviews the present state-of-the-art concerning the hydrodynamic forces experienced by spherical particles, bubbles or drops moving in general unbounded flows at low to moderate Reynolds numbers. Emphasis is put on the progresses made about the knowledge of these forces during the last decade, especially through the use of Direct Numerical Simulation. The four basic forces due to the disturbance introduced by the particle in a general flow, namely the steady drag, history, added mass and lift forces are discussed. For each of these forces the main analytical, numerical and experimental results available at the present time are reviewed and some physical processes governing the corresponding effect are discussed. The remaining open questions concerning each of these forces are emphasized.
How Well Do Managers Know And Use Evaluation Methods For How Well Do Managers Know And Use Evaluation Methods For Assessing E-Business Transformations Assessing E-Business Transformations

This paper investigates methods for assessing IT induced business transformations based on a quantitative empirical Austrian study. We show that decision makers are gaining more information about methods but are not equally applying their knowledge in practice. We observed a noticeable gap between levels of diffusion (known) and infusion (used) of evaluation methods. There remains a clear emphasis on tangible costs and benefits reflected by the highlighted knowledge and application of financial methods. Results would warrant renewed attention to the role of organisational change in evaluation practice and organisational learning in the context of analytical dynamic IT capacities.
CUCKOO-ANN Based Novel Energy-Efficient Optimization Technique for IoT Sensor Node Modelling

Wireless sensor networks (WSNs) based on the Internet of Things (IoT) are now one of the most prominent wireless sensor communication technologies. WSNs are often developed for particular applications such as monitoring or tracking in either indoor or outdoor environments, where battery power is a critical consideration. To overcome this issue, several routing approaches have been presented in recent years. Nonetheless, the extension of the network lifetime in light of the sensor capabilities remains an open subject. In this research, a CUCKOO-ANN based optimization technique is applied to obtain a more efficient and dependable energy efficient solution in IoT-WSN. The proposed method uses time constraints to minimize the distance between sources and sink with the objective of a low-cost path. Using the property of CUCKOO method for solving nonlinear problem and utilizing the ANN parallel handling capability, this method is formulated. The resented model holds significant promise since it reduces average execution time, has a high potential for enhancing data centre energy efficiency, and can effectively meet customer service level agreements. By considering the mobility of the nodes, the technique outperformed with an efficiency of 98% compared with other methods. The MATLAB software is used to simulate the proposed model.
Interactive learning through social media for large size classes in the clothing and textile curriculum

ABSTRACT This study develops an interactive learning curriculum for large size courses in the apparel design and merchandising discipline as well as evaluates outcomes of student engagement and learning. Interactive learning activities using social media such as Pinterest are developed for a fashion forecasting course to enable students to share discussions, research, and assignments. Student reflective essays at the end of the semester were collected and analysed using thematic analysis to identify engagement and outcomes from these activities. Students perceived three interactive learning activities: (1) collaborating with peers, (2) observing and evaluating peer learning and outcomes, and (3) searching for fashion trends and information. These activities generated student motivation to engage in learning as a perceived enjoyment in learning, comparing and contrasting outcomes of learning, and feeling connected with the industry. Finally, student-learning outcomes included enhanced knowledge, improved critical-thinking and problem-solving skills, new technology skills, and perception of a fashion industry career.
Screening of Bacteriocin Producing Lactic Acid Bacteria for Probiotic Properties

The concept of providing functional foods including beneficial probiotic components is gaining attention in recent years. Therefore, this study was aimed to isolate potential probiotic Lactic Acid Bacteria (LAB) from various sources. A total of 66 LAB strains were selectively isolated from different sources using MRS agar medium. Out of 66 isolates, only 7 were found to be bacteriocin producers and showed antibacterial activity against S. aureus and E. coli . All the 7 isolates were screened for probiotic properties like bile tolerance (1000 to 10,000 ppm bile salt concentration), acidic pH tolerance (pH 1 to 3.5), auto aggregation potential and cell surface hydrophobicity. Isolates RM4 & RM7 were able to tolerate bile salt concentration of up to 10,000 ppm. For acidic pH tolerance, both the isolates RM4 & RM7 were able to grow at pH 3.5 to 2. The autoaggregation potential and cell surface hydrophobicity of RM7 was found to be 40.88% and 54.58% respectively but these properties were found to be below 40 % for RM4. Therefore isolate RM7 fulfilled the criterion to be identified as a possible potential probiotic strain .