Miracle-dz/UniFAR-FTUs huggingface dataset:
Nutritional , Phytochemical , Phenolic Compound Analysis of Piper Cubeba Extract as a Food Fortified

Indian spices that provide flavor, color, and aroma to food also possess many therapeutic properties. So the present study was aimed to extract the phytochemical compounds in Piper cubeba, used as food fortifiers. The extract was investigated for the richness of its bioactive compounds. The aqueous of P. cubeba extract was subjected to sensitive gas chromatography – mass spectroscopy GC-MS analysis revealed 10 chemical constituents. Extract exhibits potentially bioactive major constituents like Cyclohexanol, Carbamic acid, pMethoxyamphetamine, Bioxirane and Linalol. Further presented the total carbohydrate, elements, such as Ca, Mg, Se, K and Fe were in highest proportion in the aqueous extract of Piper cubeba. The aqueous extract was injected to HPLC to detect the phenolic compounds in the extract like Gallic acid, Caffeic acid,Syringic acid, Ferulicacid,Rutin and Catechin. We have investigated the antimicrobial activity of water extract from P. Cubeba against major skin pathogens Staphylococccus aureus, Pseudomonas aeruginosa , Proteus vulgaris and Koucria rosia. The presence of some phytochemicals (saponins, alkaloids, flavonoids, cardiac glycosides, tannins and terpenoids) and some essential minerals proves that it is really an alternative source of medicine. Keyword: P. Cubeba extract, phytochemical analysis, Antibacterial, Minerals, GC-MS, DPPH and HPLC,
(20 20 ) 'Relationship between parenting style, alexithymia and aggression in emerging adults’

Alexithymia has been linked to reduced emotional awareness and increased aggression. One line of evidence suggests that authoritarian parenting contributes to the development of alexithymia. To elucidate the relationship between experienced parenting style, alexithymia and aggression the Parental Authority Questionnaire, the Toronto Alexithymia Scale and the Buss-Perry Aggression Questionnaire were administered to a group of emerging adults. Current findings show a positive relationship between: i) authoritarian parenting style and alexithymia, ii) alexithymia and aggression, iii) authoritarian parenting style and aggression. This study also found that paternal authoritarian parenting predicted alexithymia and aggression when controlling for maternal authoritarian style, but not the other way round. In addition, alexithymia mediated the relationship between paternal authoritarian parenting and aggression when controlling for maternal authoritarian style suggesting that elevated alexithymia which is likely to be a consequence of authoritarian parenting, especially when it is practiced by a father, contributes to increased aggression in adulthood.
A Prenylated dsRNA Sensor Protects Against Severe COVID-19 and is Absent in Horseshoe Bats

Cell autonomous antiviral defenses can inhibit the replication of viruses and reduce transmission and disease severity. To better understand the antiviral response to SARS-CoV-2, we used interferon-stimulated gene (ISG) expression screening to reveal that OAS1, through RNase L, potently inhibits SARS-CoV-2. We show that while some people can express a prenylated OAS1 variant, that is membrane-associated and blocks SARS-CoV-2 infection, other people express a cytosolic, nonprenylated OAS1 variant which does not detect SARS-CoV-2 (determined by the splice-acceptor SNP Rs10774671). Alleles encoding nonprenylated OAS1 predominate except in people of African descent. Importantly, in hospitalized patients, expression of prenylated OAS1 was associated with protection from severe COVID-19, suggesting this antiviral defense is a major component of a protective antiviral response. Remarkably, approximately 55 million years ago, retrotransposition ablated the OAS1 prenylation signal in horseshoe bats (the presumed source of SARS-CoV-2). Thus, SARS-CoV-2 never had to adapt to evade this defense. As prenylated OAS1 is widespread in animals, the billions of people that lack a prenylated OAS1 could make humans particularly vulnerable to the spillover of coronaviruses from horseshoe bats.
Volatility: Estimating Quadratic Variation using Realized Variance

We present results, using modeling, in estimating volatility in the three different models: Geometrical Brownian motion (GBM), CoxIngerssoll-Ross (CIR) and Heston. We compare estimations, using the quadratic variation estimator realized variance, with estimations using maximum likelihood methods. In the Heston model we use our approximation of the volatility process to estimate the volatility of volatility parameter, by again applying realized variance. In the GBM model we show that realized variance is useful even when data is low-frequent. The effects on bias when using high-frequency discrete data is studied, and methods of removing bias is discussed. In the CIR-model we use realized variance in two different ways. One of the two estimators is biased, but we successfully remove it. In the Heston model problem arises when using realized variance, and estimation precision decreases, but under certain conditions the long run volatility-parameter, the volatility processes and the volatility of volatility-parameter can be approximated fairly well.
SoftFEM: The Soft Finite Element Method

While the finite element method (FEM) has now reached full maturity both in academy and industry, its use in optimization pipelines remains either computationally intensive or cumbersome. In particular, currently used optimization schemes leveraging FEM still require the choice of dedicated optimization algorithms for a specific design problem, and a “black box” approach to FEM‐based optimization remains elusive. To this end, we propose here an integrated finite element‐soft computing method, ie, the soft FEM (SoftFEM), which integrates a finite element solver within a metaheuristic search wrapper. To illustrate this general method, we focus here on solid mechanics problems. For these problems, SoftFEM is able to optimize geometry changes and mechanistic measures based on geometry constraints and material properties inputs. From the optimization perspective, the use of a fitness function based on finite element calculation imposes a series of challenges. To bypass the limitations in search capabilities of the usual optimization techniques (local search and gradient‐based methods), we propose, instead a hybrid self adaptive search technique, the multiple offspring sampling (MOS), combining two metaheuristics methods: one population‐based differential evolution method and a local search optimizer. The formulation coupling FEM to the optimization wrapper is presented in detail and its flexibility is illustrated with three representative solid mechanics problems. More particularly, we propose here the MOS as the most versatile search algorithm for SoftFEM. A new method for the identification of nonfully determined parameters is also proposed.
University of Birmingham Motion-aware ensemble of three-mode trackers for unmanned aerial vehicles

To tackle problems arising from unexpected camera motions in unmanned aerial vehicles (UAVs), we pro-pose a three-mode ensemble tracker where each mode spe-cializes in distinctive situations. The proposed ensemble tracker is composed of appearance-based tracking mode, homography-based tracking mode, and momentum-based tracking mode. The appearance-based tracking mode tracks a moving object well when the UAV is nearly stopped, whereas the homography-based tracking mode shows good tracking performance under smooth UAV or object motion. The momentum-based tracking mode copes with large or abrupt motion of either the UAV or the object. We evaluate the proposed tracking scheme on a widely-used UAV123 benchmark dataset. The proposed motion-aware ensemble shows a 5.3% improvement in average precision compared to the baseline correlation ﬁlter tracker, which e ﬀ ectively
An integrated approach for supply chain risk management

Abstract Currently, every company is competing to improve the performance of their supply chain, and the efforts include loss mitigation, which requires risk management. This study aims to identify risks and develop risk mitigation strategies for Indonesia’s “PT. SPLP” company. First, this study identifies every risk in the Supply Chain Operation Reference to determine the causes. A mitigation strategy is formulated based on the criteria. According to the study results, each division faced specific risks, and the best mitigation strategy was a briefing at the beginning of each shift. The results indicate that different data processing methods used by companies lead to various risks and mitigation strategy results. Risk management is carried out and evaluated at “PT. SPLP” regularly.
Estimating Annual Average Daily Traffic for Local Roads for Highway Safety Analysis

Annual average daily traffic (AADT) is a required input to the newly released SafetyAnalyst software application. Further, AADT is also required to calculate crash rates. Traditionally, AADTs are estimated by using a mix of permanent and temporary traffic counts collected in the field. Because field collection of traffic counts is expensive, it is usually performed only for major roads and only a small percentage of nonstate local roads have reliable AADT data. A method is presented to estimate AADTs for local roads by using the travel demand modeling method. A major component of the method involves a parcel-level trip generation model that estimates the trips generated by each parcel. The generated trips are then distributed to existing traffic count sites by using a parcel-level trip distribution gravity model. The all-or-nothing trip assignment method is then applied to assign the trips between the parcels and the traffic count sites onto the local roadway network to yield estimates of AADTs. The estimated AADTs were compared with those from an existing regression-based method using actual traffic counts from Broward County, Florida. The results show that the proposed method produces significantly lower mean absolute percentage errors.
On Software Modernisation due to Library Obsolescence

Software libraries, typically accessible through Application Programming Interfaces (APIs), enhance modularity and reduce development time. Nevertheless, their use reinforces system dependency on third-party software. When libraries become obsolete or their APIs change, performing the necessary modifications to dependent systems, can be time-consuming, labour intensive and error-prone. In this paper, we propose a methodology that reduces the effort developers must spend to mitigate library obsolescence. We describe the steps comprising the methodology, i.e., source code analysis, visualisation of hot areas, code-based transformation, and verification of the modified system. Also, we present some preliminary results and describe our plan for developing a fully automated software modernisation approach.
NOVEL WRAPPER APPROACH FOR VARIABLE SELECTION IN SUPPORT VECTOR MACHINE

Support vector machine (SVM) is an e ﬃ cient machine learning method for classiﬁcation. In this paper, we propose two variable selection criteria for SVM that use wrapper methods. The criteria measure the contribution of each variable for a target function. The variable importance is quantiﬁed on the basis of the measured amount. The methods have high computational e ﬃ ciency because they evaluate the importance of all variables without recursive calculations. They were applied to several artiﬁcial and real-world data sets, and their results were superior to those of existing methods.
The Economics of Multispecies Harvesting: Theory and Application to the Barents Sea Fisheries

1. Introduction. - 2. A Two Species Model. - 3. A Three Species Model. - 4 The Maximum Sustainable Yield Frontier. - 5 The Ecological System of the Barents Sea. - 6 Estimating Biological Parameters of the Three Species Barents Sea Model. - 7 Economic Aspects of Multispecies Fisheries. - 8 Estimating Economic Parameters of the Three Species Barents Sea Model. - 9 Optimal Solutions of the Three Species Barents Sea Model. - 10. Open Access Solutions. - 11. Summary and Conclusion. - Appendices.
Riqueza de hormigas (Hymenoptera: Formicidae) en Várzea y Bosque de Tierra Firme de la región amazónica colombiana

Resumen: Se comparó la riqueza y composición de especies de hormigas en la comunidad indígena Monifue-Amena (Leticia, Amazonas Colombia) en dos unidades de vegetación: Bosque de Tierra Firme (BTF) y Várzea, durante cuatro años. Se realizaron cuatro muestreos en época seca y cuatro en lluviosa, empleando trampas Pitfall, Corner, Winkler, Zarandeo y colecta manual. Se aplicó el estimador de riqueza de ICE, análisis de similitud y composición por época y unidad de paisaje. Se reportaron nueve subfamilias, 47 géneros y 237 especies representadas en 5336 registros de frecuencia. BTF presentó una riqueza de 210 especies mientras que Várzea presentó 159. Las diferencias entre BTF y Várzea se reflejaron en la diversidad de hormigas, tanto en escala temporal como espacial; en parte atribuible a la influencia de inundaciones en Várzea que modificarían la disposición de las comunidades de hormigas. Se resalta la existencia de 39 especies sin previos reportes para el país y 48 especies que amplían su rango de distribución nacional. Palabras clave: Hymenoptera, Formicidae, riqueza, Colombia, Amazonas, Bosque Tierra Firme, Várzea.
Fantasy In Real Life: Making Meaning from Vicarious Experiences with a Tabletop RPG Internet Stream

This study investigated the experiences of people who claimed exposure to Critical Role, a web series featuring a group of voice actors playing a tabletop role-playing game (TRPG), impacted their lives in meaningful ways beyond entertain-ment. Building on previous research that documented players engaging in role-playing games, livestreaming, and role-playing game (RPG) fandom subculture, this study specifically explored the perspectives of individuals who reported a transformation-al impact of experiencing gaming vicariously through watching Critical Role. This paper reports a detailed narrative of one of the cases from qualitative interviews, which conveys major themes that illustrate the perspective of the individual watching. The paper compliments this detailed case description with a discussion of findings from seven in depth interviews to explore the experiences of the interviewee focused on in the context of the study sample. This study is primarily focused on the individ-ual watchers’ experience of gameplay and role-playing experiences, which they attribute to personal growth. The term paraso-cial gaming is introduced to characterize a part of vicarious experience associated with watching media figures playing games.
MultiStream EvolveCluster

Thispaperproposesanovelmulti-streamclusteringalgorithm, MultiStreamEvolveClus-ter (MS-EC), that can be used for continuous and distributed monitoring and analysis of evolving time series phenomena. It can maintain evolving clustering solutions separately for each stream/view and consensus clustering solutions reﬂecting evolving interrelations among the streams. Each stream behavior can be analyzed by diﬀerent clustering techniques using a distance measure and data granularity that is specially selected for it. The properties of the MultiStream EvolveCluster algorithm are studied and evaluated with respect to diﬀerent consensus clustering techniques, distance measures, and cluster evaluation measures in synthetic and real-world smart building datasets. Our evaluation results show a stable algorithm performance in synthetic data scenarios. In the case of real-world data, the algorithm behavior demonstrates sensitivity to the individual streams’ data quality and the used consensus clustering technique.
The Interplay of Modal Dispersion with Nonlinear Impairments on Mode Division Multiplexed Fibers

—Space division multiplexed ﬁbers represent a promising solution to the upcoming capacity crunch in single-mode ﬁbers, but such ﬁbers introduce new challenges due to the interactions among the propagating modes. In ideal optical ﬁbers, birefringence does not exist, and thus in a multi-mode ﬁber, random birefringence leads to spatial mode dispersion among the different spatial modes. This paper investigates the impact of spatial mode dispersion on optical ﬁber transmissions focusing on its interaction with the nonlinear interference arising during the signal propagation. The obtained results show that modal dispersion can be beneﬁcial in reducing the cross-phase modulation in various optical transmission scenarios.
Examining Land Use Effects on Travel Behavior in Jabotabek, Indonesia, Metropolitan Area

The aim of this study is to examine the effects of various factors on eight different household and individual mobility indicators, ranging from to vehicle ownership and number of daily trips, in developing country context, i.e., Indonesia. To do so, we use travel diary survey data along with GIS land use data and individual attitudes on urban and transportation issues. It is found that long-term mobility decisions such as vehicle ownership (private car or motorbike) and commute trip mode are solely affected by socio-economic and demographic characteristics of households or individuals. When the analyses are conducted with respect to short-term mobility decisions (trip-making behavior), land use and transportation system variables turn out to be significantly effective. As a further step, it is concluded that land use and transportation system policies to change short term travel behavior might be strategically effective; on the other hand, they will be mostly ineffective if directed at changing long-term travel behavior.
ADAPTIVE SIGNAL DECOMPOSITION AND FILTERING USING BINOMIAL FILTERS APPLIED TO THE GROUND-ROLL ATTENUATION Cristian

The ground-roll is a type of noise normally present in land seismic data. It strongly harms the signal-to-noise ratio, and interferes in several stages of the seismic data processing, strongly affecting the final quality of the obtained seismic images. For the attenuation of the ground-roll we propose an adaptive filtering method that uses binomials filters obtained from the convolution of pairs of dipoles (1, c) and (c,−1). The coefficient c corresponds to the first coefficient of the prediction error operator, obtained through the Burg algorithm. This filtering method allows for the decomposition of signals in frequency bands, from the lowest frequency band to the highest band. The method is applied in adaptive form, in sliding windows of time, adapting themselves to the variations in the frequency content of the data. Its implementation and use in seismic data processing is relatively simple and computationally efficient.
Unwanted pregnancy and induced abortion in Rajasthan India: a qualitative exploration.

As part of a Population Council programme of research on unwanted pregnancy and induced abortion in Rajasthan the Population Council and Ibtada conducted a qualitative exploration of attitudes and behaviours surrounding unwanted pregnancy and induced abortion in one village and one town in Alwar district Rajasthan. The study was intended to lay the groundwork for two quantitative methods -- social mapping (n=14) body mapping (n=12) focus group discussions (n=20) key informant interviews (n=68) and in-depth interviews (n=59) -- were used to gather detailed data from women men community leaders and informal and formal providers. Both study sites were 15-20 kilometres from Alwar the district headquarter. This qualitative exploration shows that women particularly those who are poor turn to a number of largely untrained community-level providers for abortion services. These include female dais and auxiliary nurse midwives as well as male chemists vaidhs and rural medical practitioners among others. Most of these informal providers offer oral allopathic and ayurvedic treatments and when these treatments fail some use invasive procedures. Additionally women use a number of home remedies in an often unsuccessful attempt to terminate unwanted pregnancies. Information about abortion methods and providers even those operating in the formal sector in Alwar diffuses relatively easily through family friends and local health providers. When selecting an abortion method and/or provider our data suggest an important bifurcation based on financial resources. Women with greater financial means -- generally those who have the support and involvement of their spouses and other family members -- go directly to Alwar and obtain surgical services from a private gyanecologist. The remaining women are left with little choice but to avail of services from informal providers that they often recognise to be unsafe and/or to carry unwanted pregnancies to term. Other factors that are taken into consideration when selecting an abortion provider are convenience perceived quality of care privacy and the sex of the provider. Based on these findings we encourage innovative means to improve access to legal safe and effective abortion services at lower levels of the public health system. Given the prevalence of informal providers documented in the study area the feasibility of training certain of these providers to offer safe abortion services particularly at early gestations should be explored at the policy programme and research levels. (authors)
Credibility of Information: an Overview of the Concept in the Digital Age

Purpose/thesis: The primary objective of this paper is to review the concept of credibility of information in the context of the digital environment and in the light of research over the last decade. Its purpose is to synthesize related concepts and trends in perceptions of credibility in interdisciplinary dialogue. Approach/methods: A review of the relevant scholarly literature. The study sketches how the concept of credibility has emerged in philosophy, psychology, communication and information sciences. Results and conclusions: A number of constructs associated to credibility have been identified and some related notions in information research in the last decade have been summarized. There is presented a short overview of elements of the digital context, that influence this notion. The author of the article suggests that recent research provides grounds for more than a communicative approach to authority construct and acknowledgment of diversity. Originality/value: The article extends the dialogue by outlining the scope of the concept, its complexity, together with its multi-disciplinary value.
Effect of Different Levels of Green Tea on Hepatotoxicity and Nephrotoxicity Induced by Malathion in Rats

: The present study was designed to determine the modulating effect of Green tea at different doses against adverse effects of malathion. Rats were divided into seven groups (5 rats /group). Group one was used as a control group control(2,3) and given malathion (50 mg/kg/day and 200mg/kg/day, respectively, for four weeks), and group four was given malathion (50 mg/kg/day and Green tea 200mg four weeks), Group five were given malathion (50 mg/kg/day and Green tea 400mg four weeks), Group six were given malathion (200 mg/kg/day and Green tea 200mg four weeks), and Group seven were given malathion (200 mg/kg/day and Green tea 400mg four weeks respectively. The experiment continued for four weeks, then rats fasted, and blood samples were collected for biochemical analysis. The results showed that the malathion-treated group had significantly higher serum Alkaline Phosphatase (ALP), Alanine aminotransferase (ALT), Aspartate aminotransferase (AST), Alkaline phosphatase (ALP), urea, creatinine, uric acid, low-density lipoprotein (LDL), Very low-density lipoprotein (VLDL), Triglycerides (TG) and Cholesterol (CHOL) levels than the control group and the malathion-treated group had significantly lower Body Weight Gain (BWG), feed intake(FI) and feed efficiency ratio (FER), High-density lipoprotein (HDL) levels than the control group. In conclusion, green tea can ameliorate the liver and kidney deterioration caused by malathion among experimental rats.