Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of urease inhibitory and free radical scavenging activities of Microsorum pustulatum (G. Frost) copel leaves (Polypodiaceae)

Microsorum pustulatum is an epiphytic fern. Young leaves and stems are edible, used in wound healing (ulcer), treatment of inflammation and skin infections. This study is reporting the effect of the leaves extracts and fractions of Microsorum pustulatum on the urease enzyme as well as their free radical scavenging activity. The leaves extracts were obtained by successive cold maceration in n-hexane, acetone and 70% aqueous ethanol. Phytochemical screening was done using standard methods. Urease inhibition assay was done using the modified Berthelot method with thiourea as reference standard urease inhibitor. The free radical scavenging activity was assayed using 2, 2-diphenyl-1-picrylhydrazyl (DPPH) with ascorbic acid as reference standard. The organic (AOP) and aqueous (AAP) fractions were obtained by chloroform-water partitioning of the most active acetone extract. The acetone extract (anti-urease=51.6%, DPPH radical scavenging= 49.9%) and its AOP fraction (anti-urease= 43.3%, DPPH radical scavenging= 70.31%) were observed to have good urease inhibition and free radical scavenging effect when compared with standard at the same 1mg/ml test concentration. The trend in median DPPH radical inhibition concentration: AOP (IC50 = 0.09 mg/ml) > AAP (IC50=0.64 mg/ml) was also observed. The phyto-constituent present in the screened leaf extract are saponins, tannins, phlobatannins, phenolic, flavonoids, terpenoids, steroids, carbohydrates. In conclusion the result validates the traditional use of Microsorum pustulatum leaves in treatment of disease such as ulcer, chronic inflammation etc. caused by pathogenic microorganism ( Helicobacter pyroli, Proteus mirabilis etc.) that needs urease for survival and to curb inflammation in oxidative stress state. Also acetone extract of the plant can be used as additive to urea base fertilizer in the development of ecofriendly urease inhibitors and increase in crop production.
and in Professional Sports: 5 Investigating the Role of Workplace Emotion

The current study examined the influence of passion and pride on employees of professional sport organizations. Anecdotally, much has been noted about the role that emotions play in 11 making the sport industry one of the world’s largest and most visible. However, empirical 12 investigation is lacking in relation to those who choose a career in this environment. Results 13 from an analysis of 933 employee survey responses representing 89 teams across 5 leagues 14 suggest that passion and pride play an important role influencing commonly assessed workplace 15 attitudes and behaviors. Notably, obsessive passion seems to work in a distinctly positive fashion 16 within professional sport workplaces, as compared to its negative influence on employees within 17 other non-sport industries researched previously.
Fast Algorithms for the Concatenated Longest Common Subsequence Problem with the Linear-space S-table (cid:3)

Given two sequences A and B of lengths m and n , respectively, the consecutive suﬃx alignment (CSA) problem is to compute the longest common subsequence (LCS) between A and each suf-(cid:12)x of B . A two-dimensional S-table is constructed for solving the CSA problem. The linear-space S-table consists of the (cid:12)rst row of the S-table and the changes between every two consecutive rows. Suppose that A = A (1) A (2) (concatenation of two sub-strings), and we are given the S-table of A (2) and B , and the alignment result of A (1) and B . The concatenated LCS (CoLCS) problem is to (cid:12)nd the alignment result of A and B . By using the linear-space S-table, instead of the 2-D S-table, we (cid:12)rst propose an O( n log n )-time algorithm to solve the CoLCS problem. Then, we propose a more eﬃ-cient algorithm for the CoLCS problem, in O( n ) time, with the technique of set (cid:12)nd and union.
The Determinants of Happiness among Poor Households in Kedah

: The main purpose of this paper is to identify the factors that have contributed to the incidence of urban poverty in Kedah. The study is based on the primary data. The survey was conducted in six districts involving 204 poor households. The units of analysis are the poor households with income below the level of the poverty line income. For urban poor households the poverty line income is RM 840. There are seven dimensions and 26 indicators used to determine the happiness among poor households by using logit regression analysis. The results of logit regression analysis showed that there were nine indicators that affect the poor households; there are gender, income, expenditure, saving, healthy life, rest, safety, community and government. As a result, this study focuses more comprehensively, including happiness aspects that are more subjective to identify the factors that have contributed to the incidence of urban poverty in Kedah. To achieve the eradication of poverty effectively, a comprehensive approach that is appropriate and should be done, so that the solution to the issue of poverty can be made as needed. Indirectly, this study is to realize the aspirations of the government through its strategy to improve the people’s happiness.
Constructing A Dataset of Support and Attack Relations in Legal Arguments in Court Judgements using Linguistic Rules

Argumentation mining is a growing area of research and has several interesting practical applications of mining legal arguments. Support and Attack relations are the backbone of any legal argument. However, there is no publicly available dataset of these relations in the context of legal arguments expressed in court judgements. In this paper, we focus on automatically constructing such a dataset of Support and Attack relations between sentences in a court judgment with reasonable accuracy. We propose three sets of rules based on linguistic knowledge and distant supervision to identify such relations from Indian Supreme Court judgments. The first rule set is based on multiple discourse connectors, the second rule set is based on common semantic structures between argumentative sentences in a close neighbourhood, and the third rule set uses the information about the source of the argument. We also explore a BERT-based sentence pair classification model which is trained on this dataset. We release the dataset of 20506 sentence pairs - 10746 Support (precision 77.3%) and 9760 Attack (precision 65.8%). We believe that this dataset and the ideas explored in designing the linguistic rules and will boost the argumentation mining research for legal arguments.
Performance of AIRS ozone retrieval over the central Himalayas: Case studies of biomass burning, downward ozone transport and radiative forcing using long-term observations

We are grateful to both the referees for their useful comments and constructive suggestions, which have improved the MS significantly. The manuscript is suitably revised by incorporating their suggestions and comments. We are also thankful to the editors for their time. We feel that the revised manuscript is suitable for publication in AMT. Please find here our responses in boldface and the referee’s comments are in regular font.
Mean Circuit Design Using Correlated Random Bitstreams in Stochastic Computing

Stochastic computing (SC) is an approximate computing technique that has been considered in recent years as an alternative to conventional binary encoding and is compatible with CMOS technology. Stochastic circuits have the advantages of low power, small area, and high fault tolerance. However, highly accurate computation often takes a lot of time because of the fluctuations in random numbers and the requirement for decorrelation between random bitstreams. In this work, mean circuits are proposed to exploit the correlation between the random bitstreams for an arbitrary number of inputs. With the proposed mean circuit, high-accuracy and low-cost mean filtering designs are implemented. Experimental results indicate that the implementations of mean filtering show 10% and 93% reductions in area and power, compared with multiplexer-based designs.
Measurement of health inequality using welfare decreasing variables AHEAD WORKING PAPER Series

We address the question of the measurement of pure health inequalities and achievement in the context of welfare decreasing variables. We adopt a general framework whereby the health variable is reported on an interval, from an optimum level m to a critical survival threshold b. There are two problems that require some departures from the usual framework used to measure inequality and social welfare. Firstly, we show that for welfare decreasing variables, the equally distributed equivalent value is decreasing in progressive transfers (instead of being increasing). Accordingly, appropriate achievement and inequality indices for welfare decreasing variables are introduced. Secondly, because the Lorenz curve and the associated inequality indices are not robust to alternative values of the survival threshold, we argue that the family of translation invariant social welfare functions and related absolute Lorenz curve allow us to undertake inequality comparisons between distributions that are robust to the chosen level of the survival threshold. An illustrative application of the methodology is provided.
Functional and Radiological Outcome of Proximal 1/3 rd Tibial Fractures Managed with Intramedullary Through Suprapatellar Approach

Aim: To evaluate the clinical and radiological outcome of proximal third tibia fractures managed by intramedullary nailing in knee semi-extended position via the suprapatellar approach. Methodology: Our study consists of proximal one third tibial shaft fractures which were treated with nailing via suprapatellar approach. The study was done under Rajah Muthiah Medical College and hospital, Duration of the study from May 2019 to December 2021. The patients were followed at intervals of 1 and 6 months and 1 year. Patients were observed for affect in daily day to day activities, union, shortening. The functions were assessed using Lower Extremity Functional Scale (LEFS). Results: In 20 patients of proximal 1/3 rd fracture of tibia within the study with a mean follow-up of 1 year. On an average of 6-7 months the fractures united radiologically. At the top of 1 year, the typical LEFS was 86%. 4 patients had delayed union in that 1 patient had significant bone loss followed by bone grafting and transpositional gastrocnemius flap was done, one patient pre-operatively had anterior skin discolouration which was debrided. Eventually all the fractures were united. There were no post-operative knee pain seen. Conclusion: Suprapatellar nailing performed with proper instrumentation, proper surgical technique is a viable option in management of proximal 1/3 rd tibial fractures. Which has excellent radiological and clinical outcomes with lower complications on comparing to other management. This may be a viable option for proximal 1/3 rd (extra-articular) tibia fractures thanks to its inbuilt advantages of placement, perfect nail entry and positioning.
distortions and thinking following ketamine administration are related to increased pharmacological MRI signal changes in the parietal lobe

: Ketamine produces effects in healthy humans that resemble the positive, negative and cognitive symptoms of schizophrenia. We investigated the effect of ketamine administration on brain activity as indexed by blood oxygen level dependent (BOLD) signal change response, and its relationship to ketamine-induced subjective changes, including perceptual distortion. Thirteen healthy participants volunteered for the study. All underwent a 15-minute functional MRI acquisition with a ketamine infusion commencing after 5 minutes (approx 0.26mg/Kg over 20s followed by an infusion of approx. 0.42mg/Kg/Hr). Following the scan, participants self-rated ketamine-induced effects using the Psychotomimetic States Inventory (PSI). Ketamine led to widespread cortical and subcortical increases in BOLD response (FWE-corrected p < 0.01). Self-rated perceptual distortions and delusional thoughts correlated with increased BOLD response in the paracentral lobule (FWE-corrected p < 0.01). The findings suggest that BOLD increases in parietal cortices reflect ketamine effects on circuits that contribute to its capacity to produce perceptual alterations and delusional interpretations.
ADVANCES IN THE OPTIMIZATION OF MEDICAL ACCELERATORS*

Between 2016 and 2020, 15 Fellows have carried out collaborative research within the 4 M€ Optimization of Medical Accelerators (OMA) EU-funded innovative training network. Based at universities, research and clinical facilities, as well as industry partners in several European countries, the Fellows have successfully developed a range of beam and patient imaging techniques, improved biolog-ical and physical models in Monte Carlo codes, and also helped improve the design of existing and future clinical facilities. This paper presents three selected OMA research highlights: the use of Medipix3 for dosimetry and real-time beam monitoring, studies into the technical challenges for FLASH proton therapy, recognized by the European Journal of Medical Physics' 2021 Galileo Galilei Award, and research into novel monitors for in-vivo dosimetry that emerged on the back of the OMA network.
New proportional resonant control scheme for Grid connected Inverters under Unbalanced and Distorted Grid Conditions

: - This paper deals the grid voltage, especially grid voltage under balanced, unbalanced and harmonically distorted grid conditions, often distorts the injected currents of grid-connected inverters. To address this problem, a robust control scheme of grid-connected inverters is presented in this project. The proposed control scheme employs open-loop filtering technique to offer exact steady-state performance as well as fast transient response. The proposed resonant controller is developed for the inner current control loop of the system. The proposed controller has the ability to track ac current with zero steady-state error. The outer dc-link voltage control loop is developed through the indirect vector control method at synchronously rotating reference frame. The control scheme ensures improved performance of the system at variable load disturbances. The control scheme is implemented in MATLAB–SIMULINK environment.
Adsorption Energetics In Zsm-5 Zeolites

: This article highlights the study on the determination of differential heat, isotherm, thermokinetics and entropy of water, carbon dioxide, normal heptane, benzene, methanol, ethanol adsorption on ZSM-5 zeolites, using adsorption-calorimetric method at a temperature of 303 K. The type and number of formed ion-molecular complexes, as well, the mechanism of adsorption of the studied molecules were ascertained. In the zeolite structure, thermokinetics of adsorption and the discovery of the migration laws of exchange cations are considered the adsorption energy of gases and vapors in a flawless zeolite. From the beginning to the saturation, the adsorption isotherm was described by the two- and three-term mathematical equations of STMP.
Does Level of Parental Involvement Predict Juvenile Delinquency?

Overall, research supports the positive impact of parents on their children; effective parenting not only prevents criminal behavior in youth but also cultivates a host of other desirable psychosocial outcomes later in life. Parental involvement is examined in this archival analysis of the National Survey on Drug Use and Health (NSDUH) to determine whether parental involvement predicts juvenile delinquency, using a community sample of 13,287 youth aged 12 to 17 years. Parental involvement was negatively associated with number of arrests and differed considerably between justice-involved and non-justice-involved youth; racial category was included as an exploratory analysis. Whether youth were placed on probation (but not parole) was coupled with lower parental involvement compared to non-justice-involved youth. These results are indicative of the protective effect that parents may have on adolescent outcomes, showing that higher parental involvement is associated with reduced juvenile delinquency.
DESIGN AND SYSTEM IDENTIFICATION OF A NOVEL HYBRID-LIFT UAV

This project reviews an accelerated proof-of-concept development technique of a novel hybrid-lift unmanned aerial vehicle (UAV) at approximately quarter scale, encompassing the preliminary design, detail design, and flight test phases of the aircraft development process. The UAV was designed as a helium balloon-quadcopter, with the primary goal of the as-built prototype being to maintain dynamic similarity (including Buoyancy Ratio and Froude-scaled buoyant moment arm) to the full-scale design, allowing the prototype to reduce technical risk to the marketable product. The expectation is that the identified Froude-scaled state-space dynamic model will serve as the baseline for full-scale control design and hovering unmanned flight testing. This accelerated approach, once successfully proven multiple times on production flight vehicles, will give agile teams the ability to quickly prototype and assess the dynamics of new and exotic configurations without being delayed by the resource-intensive development of a high-fidelity simulation model. For repeatable system identification, an automated frequency sweep was developed and programmed into custom, hardware-deployable Simulink attitude controllers. A Pixhawk PX4 flight controller with internal angular rate, acceleration and position sensors were used as the test bed for system identification.
Nonstationary zero sum stochastic games with incomplete observation

We study a discrete-time, two-players, zero-sum stochastic dynamic game similar to that introduced by Schal (1981). The novelty here, regarding previous works, is that besides the fact that the players do not have access to the opponent's earlier choices, they do not have all information about the state of the game. The main results are a minimax theorem and the existence of optimal strategy for one player.
Efficiently and Thoroughly Anonymizing a Transformer Language Model for Dutch Electronic Health Records: a Two-Step Method

Neural Network (NN) architectures are used more and more to model large amounts of data, such as text data available online. Transformer-based NN architectures have shown to be very useful for language modelling. Although many researchers study how such Language Models (LMs) work, not much attention has been paid to the privacy risks of training LMs on large amounts of data and publishing them online. This paper presents a new method for anonymizing a language model by presenting the way in which MedRoBERTa.nl, a Dutch language model for hospital notes, was anonymized. The two-step method involves i) automatic anonymization of the training data and ii) semi-automatic anonymization of the LM’s vocabulary. Adopting the fill-mask task where the model predicts what tokens are most probable in a certain context, it was tested how often the model will predict a name in a context where a name should be. It was shown that it predicts a name-like token 0.2% of the time. Any name-like token that was predicted was never the name originally present in the training data. By explaining how a LM trained on highly private real-world medical data can be published, we hope that more language resources will be published openly and responsibly so the scientific community can profit from them.
Estimation Leaf Area of Leaflets of Acacia 3 mangium Willd. by means linear dimensions

The objective of this study was to determine the best equation for estimating the leaf area of Acacia mangium Willd. from the linear dimensions of the leaflets of non-destructive form. For this, 476 leaflets of plants belonging to Lajeado farm were collected in the municipality of Ecoporanga, in the north of the State of Espírito Santo, Brazil. From each leaflet was determined the length (L) along the main midrib, the largest width (W), the product of the multiplication between the length and the width (LW) the observed leaf area (OLA). For the modeling, we used 382 leaflets in which OLA was the dependent variable in function of L, W or LW as independent variable, being adjusted the linear models of first degree, quadratic and power. For the validation, the values of L, W and LW of 94 leaflets were replaced in the equations obtained in the modeling thus obtaining the estimated leaf area (ELA). The means of ELA and OLA were compared by Student's t test at 5% probability. It was also determined the mean absolute error (MAE), the root mean square error (RMSE) and Willmott's index d. In order to select the best equation, the following criteria were used: : not significant of the comparison of the means of ELA and OLA, values of MAE and RMSE with closer to zero and index d closer to one. The power model equation represented by ELA (cid:3404) , is the most adequate to predict the leaf area of Acacia mangium Willd. quickly and non-destructively.
Random Sampling from the Watson Distribution

In this paper we present and discuss two methods for efﬁcient sampling from the Watson distribution. The ﬁrst approach adapts the rejection sampling algorithm from Kent et al. (2018), which originally samples Bingham distribution using angular central Gaussian envelopes. We show that for the case of the Watson distribution, this allows for a closed form expression for the parameters that maximize the efﬁciency of the sampling procedure, which is then further investigated and bounded by derived asymptotic results. What is more, we present a sampling algorithm that removes the curse of dimensionality by a smart matrix inversion, which allows for fast runtimes even for complex problems with high dimension. The second method relates to Saw (1978), and simulates from a projected distribution using adaptive rejection sampling. Also for this sampling procedure, the derived algorithm offers fast sampling for large dimension. This is not the case for similar algorithms in the ﬁeld, which usually require an expensive rotation of the sampled results using a QR-decomposition. Finally, we propose some simple generators for the trivial cases and compare the two main methods in a simulation study.
Secure Multiparty Computation from SGX. In Financial Cryptography and Data Security 2017: Twenty-First International Conference, April 3–7, 2017, The

In this paper we show how Isolated Execution Environments (IEE) offered by novel commodity hardware such as Intel’s SGX provide a new path to constructing general secure multiparty computation (MPC) protocols. Our protocol is intuitive and elegant: it uses code within an IEE to play the role of a trusted third party (TTP), and the attestation guarantees of SGX to bootstrap secure communications between participants and the TTP. The load of communications and computations on participants only depends on the size of each party’s inputs and outputs and is thus small and independent from the intricacies of the functionality to be computed. The remaining computational load– essentially that of computing the functionality – is moved to an untrusted party running an IEE-enabled machine, an attractive feature for Cloud-based scenarios. Our rigorous modular security analysis relies on the novel notion of labeled attested computation which we put forth in this paper. This notion is a convenient abstraction of the kind of attestation guarantees one can obtain from trusted hardware in multi-user scenarios. Finally, we present an extensive experimental evaluation of our solution on SGX-enabled hardware. Our implementation is open-source and it is functionality agnostic: it can be used to securely outsource to the Cloud arbitrary off-the-shelf collaborative software, such as the one employed on ﬁnancial data applications, enabling secure collaborative execution over private inputs provided by multiple parties.