Miracle-dz/UniFAR-FTUs huggingface dataset:
BRYOPHYTES OF DICKSON AREA, WESTERN TAIMYR – A MODEL BRYOPHYTE FLORA FOR ASIAN ARCTIC TUNDRA МОХООБРАЗНЫЕ ОКРЕСТНОСТЕЙ ДИКСОНА – МОДЕЛЬНОЙ БРИОФЛОРЫ АЗИАТСКИХ АРКТИЧЕСКИХ ТУНДР

Bryophyte flora of the Dickson village area was studied during five field seasons. The list includes 90 species and 7 infraspecific taxa of liverworts and 249 species and 2 varieties of mosses. This is the greatest number among local floras published for Asian Arctic. It exceeds previously published moss floras of the nearby areas by about hundred species. It is partly caused by application of new species concepts, which appeared as a result of revisions involving molecular phylogenetic data. However, it also demonstrates strong under-exploration, and, consequently, underestimation of bryophyte diversity and need in its conservation. The present study shows that the number of species in local floras does not decrease northward within the tundra zone. Moreover, bryophyte flora of the arctic tundra biome houses the previously neglected or only recently recognized taxonomic diversity. An annotated list of species is provided, аlong with comments on the problematic taxa and specimens.
Investigating People’s Anxieties and Concerns About COVID-19

Background: In January 2020, the World Health Organization (WHO) declared the COVID-19’s outbreak as an international public health emergency. In March 2020, WHO evaluation showed that COVID-19 could be considered a pandemic disease. Nowadays, the spread of COVID-19 threatens all aspects of human living conditions. In this regard, the objectives of this research are to investigate the anxieties and concerns of the Iranian people regarding the spread of COVID-19 in the initial months of its outbreak. Materials and Methods: This study was conducted with a qualitative methodology employing the conventional content analysis method. Data of anxieties and concerns of the general population were collected through social workers working at university/ medical schools throughout the country, affiliated healthcare centers, hotline 190, and social networks. The data collection process was saturated with 2920 theoretical data from February 27, 2020, to April 3, 2020. Results: Anxieties and concerns of community members were categorized into 8 areas: 1- Confusion in communication with the surrounding environment, 2- Concerns about vulnerable groups being affected, 3- The necessity of informational support, 4- Economic turmoil, 5- Shortage of preventive and treatment facilities, 6 -weakness of social capital, 7- Stressful and destructive atmosphere, 8- Approaches for crisis management situation. Conclusion: Based on the research findings, focusing and attention on people’s concerns in a transparent manner, and designing novel psychosocial support systems based on people’s real needs to control the disease spread result in the enhancement of social capital between community members to get through this crisis quickly.
NDN Forwarder Manager: Improving the Usability of NDN Forwarders

Up to now, configuring NDN for use on end hosts has generally been difficult due to the absence of graphical configuration interfaces. To improve the usability of NDN, we have developed the NDN Forwarder Manager (NDN-FM). NDN-FM provides a graphical interface for users to manage a local instance of the NDN Forwarding Daemon (NFD), allowing them to monitor the status of the forwarder; create, update, and delete faces and routes; manage certificates; and run basic NDN debugging tools. NDN-FM can also be used to manage other NDN packet forwarders that support the NFD Management Protocol. In this report, we describe the implementation of NDN-FM, discuss the rationale for the design choices that were made during its development, and demonstrate the use cases of NDN-FM from the perspective of system administrators and end users to illustrate NDN-FM’s improvements to NDN usability.
Juror Information on the Web: A Study of Hispanic Populated Texas Counties

In response to the initiative of providing juror education materials online, this study proposes that unless Web sites are designed in a usable fashion, this initiative could fail to enhance jury response and further aggravate the problem of underrepresentation by minorities. This study suggests that all online juror information Web sites be analyzed for “usability” and “design” if they are to be an effective education tool. In addition, this study proposes to compare responses to county Web sites in order to gauge bias responses of participants to their own county’s Web site vs. other county Web sites.
GENETIC DIVERSITY AMONG POPULATIONS OF THE TAMARIX SPECIES USING CDDP MOLECULAR MARKER

Tamarix L. is a problematic genus in taxonomy of Tamaricaceae due to the uncertainty of species number, distribution, and ecological conditions in Iran. In this study, we investigated the genetic diversity and taxonomic relationships of 34 individuals from 8 populations including 3 species of Tamarix in Isfahan province, Iran. Ten primers using CDDP molecular marker were used to survey the genetic diversity of the genus. One hundred and twenty-five bands were created from ten primers, of which 102 (80.16%) were polymorphic. Cluster analysis classified individuals into three distinct groups. High gene flow among Tamarix species using PCoA analysis showed high variability among the three Tamarix species, so that samples from different species were grouped together. Molecular analysis of variance showed that intra-population genetic diversity (90%) was greater than inter-population genetic diversity (10%). The highest mean Neiʼs genetic diversity (H) and Shannon diversity index (I) was observed in the Habib Abad population. Data analysis showed that morphological traits and DNA sequencing data in the genus Tamarix were not fully correlated, which could be justified by the large number of hybrids between species and the lack of genetic differentiation between the studied species.
Altered Leucyl-Transfer Ribonucleic Acid

Two trifluoroleucine-resistant mutants of Salmonella typhimurium, strains CV69 and CV1 17, had an altered leucyl-transfer ribonucleic acid (tRNA) synthetase. The mutant enzymes had higher apparent Km values for leucine (ca. 10-fold) and lower specific activities (ca. twofold) than the parent enzyme when tested in crude extracts. Preparations of synthetase purified ca. 60-fold from the parent and strain CVl 17 differed sixfold in their leucine Km values. In addition, the mutant enzyme
STUDY ON ELECTROLYTICALLY DEPOSITED COPPER FILM ON STAINLESS STEEL SURFACE FOR RF COUPLERS

A copper (Cu) film is electrolytically deposited on a stainless steel-made RF coupler used in a particle accelerator machine. The coupler after electroplated with a Cu film goes to a heat-treatment process for the brazing of components of the coupler. The brazing is performed at a temperature of ~800 °C in a high-temperature vacuum furnace. A residual resistivity ratio (RRR) of the Cu film decreases owing to the high-temperature heat-treatment process. We have been aiming to achieve a desired RRR value after the heat-treatment process. In this study, we have conducted an analysis of a Cu film, which was electrolytically deposited on a stainless-steel surface with an intermediate Cu strike layer, to find atomic diffusion from stainless steel to the Cu film due to heat-treatment. The impact of heattreatment on the RRR value of the Cu film was evaluated.
COMPARISON OF HISTOCHEMICAL CHARACTERISTICS AND MEAT QUALITY TRAITS IN DIFFERENT JEJU PIG BREEDS

This study was to investigate the histochemical characteristics and meat quality traits among commercial Jeju black pigs (JBP), native Jeju black pig×Duroc (JD) and Jeju Landrace×Yorkshire×Duroc (JLYD). A total of 188 pigs were evaluated. JD contained a significantly lower mean area percentage of type IIb fibers than those of other breeds (P < 0.05). The muscle pH45min and pH24h were significantly higher in JD. Drip loss and color parameters were signficantly different between the breeds (P < 0.001). JD showed the highest muscle pH and lowest drip loss and L* values than the other breeds. These results imply that the longissimus dorsi muscle of Jeju black pig×Duroc pig is better meat quality than that of other breeds. Based on these results, we conclude that muscle fiber composition can explain in parts the variation of meat quality across and within breeds.
Low roll-off and high efficiency orange OLEDs using green and red dopants in an exciplex forming co-host

We present high efficiency orange emitting OLEDs with low driving voltage and low roll-off of efficiency using an exciplex forming co-host by (1) co-doping of green and red emitting phosphorescence dyes in the host and (2) red and green phosphorescent dyes doped in the host as separate red and green emitting layers. The orange OLEDs achieved a low turn-on voltage of 2.4 V and high external quantum efficiencies (EQE) of 25.0% and 22.8%, respectively. Moreover, the OLEDs showed low roll-off of efficiency with an EQE of over 21% and 19.6% at 10,000 cd/m2, respectively. The devices displayed good orange color with very little color shift with increasing luminance. The transient electroluminescence of the OLEDs indicated that both energy transfer and direct charge trapping took place in the devices.
Portfolio Selection Based on BP Neural Network and Black-Litterman Model

With the revolution of technology, the rapid development of machine learning has brought new impetus to the development of finance. Combining machine learning technology with traditional investment portfolio theoretical models can effectively reduce investment risks and increase returns. The Mean-Variance model proposed by the pioneer of contemporary portfolio theory, Markowitz, defines risk as the volatility of the rate of return. For the first time, the method of mathematical statistics is applied to the study of portfolio selection. This method makes the multi-objective optimization of returns and risks achieve the best balance effect. However, because this model is too sensitive to the input value, this article will use the Black-Litterman model and use the BP neural network to make predictions for the BL model's view matrix. The empirical results show that the improved Black-Litterman model obtains excess returns compared to the Mean-Variance model and other models, which optimizes the investment portfolio.
Characterization of Te Precipitates in CdTe Crystals

Te precipitates in CdTe crystals grown by the Bridgman method have been investigated using Auger electron spectroscopy, transmission infrared microscopy and etching techniques. The transmission infrared microscopy shows that Te precipitates with dimensions of several micrometers have well-defined crystallographic facets and are found to decorate dislocations; the density of the precipitates (<1 µm in diameter) is of the same order of the etch pit density, which suggests there exists a strong correlation between the presence of the precipitates and the dislocations.
1 Language Divergences and Typology

This chapter introduces machine translation (MT), the use of computers to transmachine translation MT late from one language to another. Of course translation, in its full generality, such as the translation of literature, or poetry, is a difficult, fascinating, and intensely human endeavor, as rich as any other area of human creativity. Machine translation in its present form therefore focuses on a number of very practical tasks. Perhaps the most common current use of machine translation is for information access. We might want to translate some instructions on the web, information access perhaps the recipe for a favorite dish, or the steps for putting together some furniture. Or we might want to read an article in a newspaper, or get information from an online resource like Wikipedia or a government webpage in a foreign language. MT for information access is probably one of the most common uses of NLP technology, and Google Translate alone (shown above) translates hundreds of billions of words a day between over 100 languages. Another common use of machine translation is to aid human translators. MT systems are routinely used to produce a draft translation that is fixed up in a post-editing post-editing phase by a human translator. This task is often called computer-aided translation or CAT. CAT is commonly used as part of localization: the task of adapting content CAT
Multi-Stakeholder Perspectives of Environmental Accountability Practices in the Mining Sector

This paper analyses environmental accountability practices (EAP) in the mining sector from the perspectives of multi-stakeholders. The study adopts a purely qualitative approach to research in terms of research method, data collection and data analysis. Interview data was gathered from a sample of twenty-one predominantly large-scale mining firms in Ghana. Based on responses from the interview respondents, themes from the literature and empirical material, stakeholders’ perspectives were analysed regarding (1) motivations for EAP; (2) effectiveness of EAP; (3) performance assessment based on EAP; and (4) stakeholder engagements regarding EAP. This paper analyses EAP in Ghana’s mining industry from the viewpoint of multi-stakeholders – regulatory bodies, mining companies, environmental managers, community partners, environmental consultants, and mining association. The findings reveal the commonality of acceptable and responsible EAP that can lead to a ‘win-win’ situation for all stakeholders in the mining industry. Mining firms should increase their focus on practicing value-added EAP in all facets of mining operations. They should also strengthen their engagement with indigenes, and not only local elites, and align their EAP efforts with the immediate needs of the local communities. The novelty of this paper is the determination of the drivers (the ‘why’), outputs (the ‘how’), and outcomes (the benefits) of EAP which is missing in the EAP literature.
GENERALIZED HESSIAN FOR NON-LINEAR AND NON-GAUSSIAN STATE SPACE MODELS

This article develops a method for simulation smoothing and parameter estimation in nonlinear and non-Gaussian state space models. The state vector is required to be a first order Markov process but not necessary Gaussian. State and observation vectors may exhibit conditional independence or dependence. We illustrate using Asymmetric Stochastic Conditional Duration models (ASCD), drawing on the work of Feng et al. [2004]. Simulation on artificial data and real data show that this method is numerically and computationally efficient. In nonlinear and non-Gaussian state space models, the conditional density of states given observations is most often unknown. Thus, we cannot directly integrate out the unobserved states to compute the parameters’ likelihood, for classical inference, or parameters’ posterior density, for Bayesian inference. We may use importance sampling or Markov chain Monte Carlo that required an auxiliary density. We provide a method to construct such auxiliary density as an approximation of the posterior density of states given observation, the target. The higher numerical efficiency obtained relies on the auxiliary density being extremely close to the target. Our methodology is related to similar work in Djegnéné and McCausland (unpublished manuscript, 2010) where the state vector is required to be Gaussian.
Effect of location and soaking treatments on the cooking quality of some chickpea breeding lines

Summary The effects on some physical criteria and on cooking quality of soaking chickpeas (of different genotypic origins) in sodium chloride or sodium bicarbonate were investigated. The material was grown at five locations in Cukurova, Turkey. The seed size, hundred seed weight, seed density, hydration capacity, swelling capacity and cooking time values differed significantly among locations. Cooking time differed significantly among locations and treatments, but not with cultivars. Soaking with NaCl and NaHCO3 was effective for decreasing the cooking time.
Доверя'й, но проверя'й: SFI safety for native-compiled Wasm

interpretation. Abstract interpretation [20] has been verifying program properties and finding bugs for over forty years. The Astrée static analyzer [21] has verified absence of certain errors in space vehicles [8], and many works [58], [78] use abstract interpretation for everything from verification to synthesis. There are even verified static analysis passes and frameworks [11], [30], [12]. Like these works, VeriWasm uses a verified abstract interpretation passes but specifically focuses on showing that binaries are safely sandboxed. Bug finding. Bug finding tools can also identify security flaws. They use techniques like symbolic execution [15], concolic execution [24], [85], [63], fuzzing [82], [1], and binary instrumentation [54]. These tools find several classes of security bugs like use-after-frees [64], race conditions [61], [65], stack overflows [58], and more; some use fast but unsound analysis to quickly find bugs with low false positives [9]. In contrast, VeriWasm cannot check for general classes of security bugs and instead only validates the Wasm security properties; it uses a sound analysis and may produce false positives (§VI).
Impact of Electronic Taxation on Tax Evasion and Avoidance (A Case Study of Nigerian Banks)

The desire to uplift one’s society is the first desire of every patriotic citizen. Tax payment is a demonstration of such a desire (Kayode, 1993). The payment of tax is a civic duty and an imposed contribution by government on her subject and companies to enable her finance or run public utilities and perform other social responsibilities. Taxes, thus, constitutes the principal sources of government revenue (Bariyima et al. 2009).
Modeling the Effect of Family Atmosphere, School Atmosphere, and Social Support on Aggressiveness and Addiction Preparedness Among Students: The Mediating Role of Extroversion

* Corresponding Author: Afsaneh Ghanbaripanah, PhD. Address: Department of Psychology, Faculty of Psychology and Social Sciences, Central Tehran Branch, Islamic Azad University, Tehran, Iran. Phone: +98 (912) 2972779 E-mail: af_ghanbary@yahoo.com Research Paper: Modeling the Effect of Family Atmosphere, School Atmosphere, and Social Support on Aggressiveness and Addiction Preparedness Among Students: The Mediating Role of Extroversion
Measurements of Iceberg Melt Rates Using High‐Resolution GPS and Iceberg Surface Scans

Increasing freshwater input to the subpolar North Atlantic through iceberg melting can influence fjord‐scale to basin‐scale ocean circulation. However, the magnitude, timing, and distribution of this freshwater have been challenging to quantify due to minimal direct observations of subsurface iceberg geometry and melt rates. Here we present novel in situ methods capturing iceberg change at high‐temporal and ‐spatial resolution using four high‐precision GPS units deployed on two large icebergs (>500 m length). In combination with measurements of surface and subsurface geometry, we calculate iceberg melt rates between 0.10 and 0.27 m/d over the 9‐day survey. These melt rates are lower than those proposed in previous studies, likely due to using individual subsurface iceberg geometries in calculations. In combining these new measurements of iceberg geometry and melt rate with the broad spatial coverage of remote sensing, we can better predict the impact of increasing freshwater injection from the Greenland Ice Sheet.
SoloFinger: Robust Microgestures while Grasping Everyday Objects

Using microgestures, prior work has successfully enabled gestural interactions while holding objects. Yet, these existing methods are prone to false activations caused by natural finger movements while holding or manipulating the object. We address this issue with SoloFinger, a novel concept that allows design of microgestures that are robust against movements that naturally occur during primary activities. Using a data-driven approach, we establish that single-finger movements are rare in everyday hand-object actions and infer a single-finger input technique resilient to false activation. We demonstrate this concept’s robustness using a white-box classifier on a pre-existing dataset comprising 36 everyday hand-object actions. Our findings validate that simple SoloFinger gestures can relieve the need for complex finger configurations or delimiting gestures and that SoloFinger is applicable to diverse hand-object actions. Finally, we demonstrate SoloFinger’s high performance on commodity hardware using random forest classifiers.
Parental Paternalism and Patience

We study whether and how parents interfere paternalistically in their children’s intertemporal decision-making. Based on experiments with over 2,000 members of 610 families, we find that parents anticipate their children’s present bias and aim to mitigate it. Using a novel method to measure parental interference, we show that more than half of all parents are willing to pay money to override their children’s choices. Parental interference predicts more intensive parenting styles and a lower intergenerational transmission of patience. The latter is driven by interfering parents not transmitting their own present bias, but molding their children’s preferences towards more time-consistent choices.
Implementation and Analysis of Adaptive Bit-rate Video Streaming Architecture

The world of technology is going through a rapid transformation, which directly impacts the life of internet users. Therefore every user may be connected to internet everywhere in near future, such type of communication demands high speed connectivity with internet that may provide data in very less response time. In addition, the demand of multimedia contents over IP network is growing exponentially with the growth of internet users. Despite of great reliability and well defined infrastructure for IP communication, Quality of Experience (QoE) for the users has remained main focus, while getting multimedia contents with flawless or smooth video streaming in less time with great availability. Failure in providing satisfactory QoE resulting in churning of the viewers. QoE depends upon various factors, such as those factors related to network infra-structure have significant effect on the perceive Quality. Moreover, Video content distribution have greater impact upon QoE, which can be improved by using specialized protocols that are responsible for video transmission over internet. Unlikely, HTTP also allows video distribution, caching and streaming. This research presents an architecture for multimedia distribution, caching and streaming by using off-the-shelf components for applications such as Video on Demand (VoD) and live streaming services. Moreover, discussion is carried out for the factors impacting QoE and their behavior is evaluated with QoE, the statistical data is taken from real architecture and analysis is made by using simulation tools and through real-time data, the response time and the throughput is also compared with the change of segment size in adaptive bit rate video streaming. Furthermore, video transmission is done by an adaptive bit rate mechanism over HLS standard. HTTP load balancing and DNS load balancing is also introduced to enhance QoE and to mitigate the challenge of single point of failure. The proposed architecture is validated and indulged as core component for video streaming in project “3GPPIMS compliant E2E Mobile IPTV solution for 4G/LTE Networks”