Miracle-dz/UniFAR-FTUs huggingface dataset:
Patterns in the Recall of Persons in a Department of I a Formal Organization*

: This paper dwcribes the cognitive structures people use to organize persons in memory. Employees of a department in the public affairs division of a university free listed the names of coworkers. Perceived work proximity was the primary and general associa- tive factor in subjects' recalls of fellow employees. That is, persons who wen recalled successively were perceived to work more closely with one another than would be exptcted by chance. The temporal features of subjects' nxalls also reflected the influence of perceived work proximity as an associative factor. In addition, perceived work proximity impacted associative patterning in the recalls of a subset of subjects who were instructed, at retest, to d l persons in alphabetical order of persons' fmt names. Serial order response patterns (which p e m s ended to be recalled earlier or latw in recall) were related to persons' status and perceived work proximity to the subject. These results, along with two m n t studies (Brewer 1993; Brewer and Yang 1994). strongly suggest that members of a community share a common cognitive smcture of community members that is based on the commu- nity's social structure. ABSTRACT This paper outlines a procedure for detecting context-based constraints in social petception. Specifl~lly, this research examines how fonnal orgauizational stn~cture can impact informants' repom of social relations. Twenty-lhree personnel from a regional accounting fm were asked to repon their social relations. Observations of the individuals' interac-tions also were collected as an independent measurement source. Comparisons of the perceptual data with the formal organizational smcture show reciprocated repom are significantly comlated with status similarity. Individuals who share the same raak in the organizational hierarchy mutually name om another to a greater extent than those in different ranks. Unreciprocated npom that are not observed m explained by the hierar- chical nature of the status smcture in that individuals of lower status tend to repon ties with those in higher statuses but not vice vem. Unnciprocated tepom of interaction that are obsewed. however, are not associated with the heganizational smcture. Instead, they are explained by differems in the size of infotmants' networks. Individuals with large networks tend to name ties that are not nciprocatcd. Apparently, in contexts where posi-tional differences m pronounced, staNs is oae of the main influences in social pcreeption.
STUDIES ON ARBUSCULAR MYCORRHIZAL FUNGI FROM SOIL OF SITAKHANDI FOREST OF MAHARASHTRA

Forest ecosystems are the regions where there is least human interference and therefore we see luxury of plant growth. Sithkhandi forest is one of the least human interfered forests present near Bhokar region of Nanded district in Maharashtra. Arbuscular mycorrhizal fungi (AM fungi) develops symbiotic relation with most of the land plants. This association is very common in the terrestrial ecosystem throughout the world. The objective of the current study is to identify and determine frequency of various AM fungal species. Five GPS marked sampling sites were selected for isolation of mycorrhizal spores. A total 34 species belonging to genera Glomus, Acaulospora, Scutellospora, Gigaspora, Diversispora, Enterophora and Pascispora were reported. Little variation is seen in their frequency. In this study, more species diversity among Glomus followed by Acaulospora were found. High frequency percentage of Glomus mosseae has been reported at all study sites.
Ferveo: Threshold Decryption for Mempool Privacy in BFT networks

A distributed network has Mempool Privacy if transactions remain encrypted until their inclusion is ﬁnalized, and inclusion guarantees decryption and execution. Mempool Privacy is highly desirable to prevent transaction censorship and a broad class of MEV attacks. We present Ferveo, a fast protocol for Mempool Privacy on BFT consensus blockchains, such as those based on Tendermint. Blockchain validators use new Distributed Key Generation and Threshold Public Key Encryption schemes to decrypt transactions encrypted to a threshold public key, closely aligning security assumptions with Tendermint and providing concrete scalability up to thousands of transactions per block. The blockchain security and eﬃciency models are quite diﬀerent than typically studied in the academic literature, requiring several new ideas for both the abstract scheme and implementation.
Automated L2 Writing Performance Assessment: A Literature Review

Providing both effective feedback applications and reliable assessment practices are two central issues in ESL/EFL writing instruction contexts. Giving individual feedback is very difficult in crowded classes as it requires a great amount of time and effort for instructors. Moreover, instructors likely employ inconsistent assessment procedures, which poses a threat to the reliability of the assessment results. Automated Writing Evaluation (AWE) systems were developed to address these issues and have been subjected to a number of research studies so far. This paper presents a literature review regarding the development of AWE systems and the studies that were conducted to investigate the use of these systems for teaching and assessing writing in the last two decades. Based on the review of previous research, it is suggested that more studies are carried out to investigate the effectiveness of automated feedback when it is integrated with teacher feedback and the reliability of automated scoring in classroom-based writing assessment contexts.
Effects of Dietary Functional Ingredients and Packaging Methods on Sensory Characteristics and Consumer Acceptance of Irradiated Turkey Breast Meat

Raw and cooked breast patties from turkeys fed 8 different diets [control; 200 IU/kg of vitamin E (VE); 0.3 mg/kg of Se; 2.5% conjugated linoleic acids (CLA); 200 IU/kg of VE + 0.3 mg/kg of Se; 200 IU/kg of VE + 2.5% CLA; 0.3 mg/kg of Se + 2.5% CLA; and 200 IU/kg of VE + 0.3 mg/kg of Se + 2.5% CLA] were treated with 2 irradiation doses (0 and 1.5 kGy) and 2 packaging methods (vacuum and aerobic). Raw and cooked samples from 32 treatments were tested by 8 trained sensory panelists for turkey aroma and irradiation off-aroma. Based on the sensory scores, the 3 dietary treatments producing the most and the least off-aroma were selected and used for a consumer acceptance study. Sensory results of raw meat showed that turkey aroma was intense in aerobically packaged meat, whereas irradiation off-aroma was intense with vacuum packaging. Raw meats from dietary treatments containing CLA (CLA, VE + CLA, Se + CLA, VE + Se + CLA) had greater turkey aroma scores, whereas
M EASURE -T HEORETIC S ET R EPRESENTATION L EARNING

Sets are fundamental to human knowledge representation and reasoning, most explicitly as the axiomatic cornerstone on which all of modern mathematics is built, but also more primitively in the organization of thought into concepts [Peacocke, 1992]. Much of machine learning is also about identifying concepts, not just in natural language where interpreting human communication may obviously require modeling conceptual structure, but in ways which span across modalities image classification, video recognition, everything from protein folding to music generation requires models which can effectively represent, decompose, and combine concepts.
of Advanced Research in Computer

-Image smoothing is one of the techniques of image enhancement that is used for enhancing the image features. An effective image smoothing method removes the noise from the image and preserves its local (fine details) as well as global features. This paper shows the comparison between L 0 gradient minimization smoothing and the new proposed method. The L 0 gradient minimization method is a very powerful smoothing method that can remove low-amplitude structures and globally preserve and enhance salient edges, but raise the problem of over-sharpening and tone-mapping. The new method merges the L 0 gradient minimization with some new functions and gives better results while smoothing. The new method also overcomes the problem of over-sharpening and tone mapping arise by the L 0 gradient minimization smoothing. This paper shows the experimental results of L 0 gradient minimization smoothing algorithm versus new smoothing method on different color images.
Multiple Imputation Using Influential Exponential Tilting in Case of Non-Ignorable Missing Data

Modern research strategies rely predominantly on three steps, data collection, data analysis, and inference. In research, if the data is not collected as designed, researchers may face challenges of having incomplete data, especially when it is non-ignorable. These situations affect the subsequent steps of evaluation and make them difficult to perform. Inference with incomplete data is a challenging task in data analysis particularly in clinical trials when the data related to the condition under study is missing. Moreover, results obtained from incomplete data are prone to biases. Parameter estimation with non-ignorable missing data is even more challenging to handle and extract useful information. This dissertation proposes a method based on the influential tilting resampling approach to address non-ignorable missing data in statistical inference. This robust approach is motivated by a brief use of the importance resampling approach used by Samawi et al. (1998) for power estimation. The exponential tilting also inspires it for non-ignorable missing data proposed by Kim & Yu (2011). One of the proposed approach bases assumes that the non-respondents' model corresponds to an exponential tilting of the respondents' model. The tilted model's specified function is the influential function of the function of interest (parameter). The other bases of the proposed approach are to use the importance resampling techniques to draw inference about some model parameters. Extensive simulation studies were conducted to investigate the performance of the proposed methods. We provided the theoretical justification, as well as application to real data. INDEX WORDS: Missing data, Non-ignorable missing data, Exponential tilting, Influence function, Resampling, Mean estimation, Linear model parameter, Multiple imputation, Followup data. MULTIPLE IMPUTATION USING INFLUENTIAL EXPONENTIAL TILTING IN CASE OF NON-IGNORABLE MISSING DATA
Study of the decay (B)over-bar(0) -&gt; Lambda(+)(c) pi(-) and its intermediate states

We study the decay (cid:1) B 0 ! (cid:2) þ c p(cid:1) þ (cid:1) (cid:1) , reconstructing the (cid:2) þ c baryon in the pK (cid:1) (cid:1) þ mode, using a data sample of 467 (cid:2) 10 6 B (cid:1) B pairs collected with the BABAR detector at the PEP-II storage rings at SLAC. We measure branching fractions for decays with intermediate (cid:3) c baryons to be ¼ ð 11 : 5 : 0 0 : : 0 Þ 0 (cid:1) p(cid:1) þ (cid:3) ¼ ð 9 : 1 (cid:4) 0 : 7 (cid:4) 0 : 4 (cid:4) 2 : 4 Þ (cid:2) 10 (cid:1) 5 , and B ½ (cid:1) B 0 ! (cid:3) c ð 2520 Þ 0 (cid:1) p(cid:1) þ (cid:3) ¼ ð 2 : 2 (cid:4) 0 : 7 (cid:4) 0 : 1 (cid:4) 0 : 6 Þ (cid:2) 10 (cid:1) 5 , where the uncertainties are statistical, systematic, and due to the uncertainty on the (cid:2) þ c ! pK (cid:1) (cid:1) þ branching fraction, respectively. For decays without (cid:3) c ð 2455 Þ or (cid:3) c ð 2520 Þ resonances, we measure B ½ (cid:1) B 0 ! (cid:2) þ c (cid:1) p(cid:1) þ (cid:1) (cid:1) (cid:3) non - (cid:3) c ¼ ð 79 (cid:4) 4 (cid:4) 4 (cid:4) 20 Þ (cid:2) 10 (cid:1) 5 . The total branching fraction is determined to be B ½ (cid:1) B 0 ! (cid:2) þ c (cid:1) p(cid:1) þ (cid:1) (cid:1) (cid:3) total ¼ ð 123 (cid:4) 5 (cid:4) 7 (cid:4) 32 Þ (cid:2) 10 (cid:1) 5 . We examine multibody mass combinations in the resonant three-particle (cid:3) c (cid:1) p(cid:1) ﬁnal states and in the four-particle (cid:2) þ c (cid:1) p(cid:1) þ (cid:1) (cid:1) ﬁnal state, and observe different characteristics for the (cid:1) p(cid:1) combination in neutral versus doubly charged (cid:3) c decays.
Mindfulness-Based Interventions in the Treatment of Female Sexual Dysfunction: A Systematic Review

Female sexual health has become a growing field of research and focus of clinical practice in the last 10-15 years. Mindfulness-based interventions, which emphasize the focus of attention on here and now experiences without being judgmental but with an accepting attitude, have emerged as a promising treatment option for women with sexual dysfunction. In this context, the purpose of this review is to evaluate the usability and effectiveness of mindfulness-based psychological interventions in women having difficulty at various stages of sexual functioning. In line with this purpose, several databases were searched with the keywords of “sexual dysfunction AND mindfulness”, “sexual desire AND mindfulness”, “sexual arousal AND mindfulness”, “sexual pain AND mindfulness”, and “orgasm disorder AND mindfulness”. Based on PRISMA decision criteria, 13 research article published between 2000 and 2017 have been identified. The findings indicated that both individual and group-oriented mindfulness-based therapies significantly improved sexual dysfunctions in various aspects of the sexual response cycle and these improvements were maintained in the long term. Besides the primary outcomes related to sexual functioning, it appears to cause positive changes in many areas such as depression, anxiety, couple harmony, and communication as well.
DEEP MACHINE LEARNING FOR AGE AND GENDER PREDICTION

This paper tends to show that by learning feature representations through the employment of convolutional neural networks (CNN), a major increase in performance is obtained on age and gender prediction tasks. An image classifier is built in Matlab. Thousands of facial images are obtained and used to train a convolutional neural network. In this case of deep learning, the CNN essentially constructs abstract features from training image data, which would otherwise have to be handcraft in traditional machine learning model. Feeding in an image in an input, each layer it will perform a series of operations on that data until it outputs a label and classification percentage. Each layer has a different set of abstractions; in the first layers, the network basically teach itself edge detection, then shape detection in the middle layers. They get increasingly more abstract up until the end. The last few layers are the highest-level detectors for the whole object. A lot of computing power and time is spent to train the deep network. The trained network is then used to do predictions of age and gender and can, later after this paper, be integrated with webcam, at home or office to get statistical summary of all guests’ age and gender.
Insurance System for DeFi Lending Protocols Insurance System for DeFi Lending Protocols

The rising popularity of blockchain has cleared the path for developing numerous decentralized finance (DeFi) applications. However, insurance solutions for DeFi applications are still missing. Therefore, this article presents a smart contract-based P2P credit default insurance solution using the Design Science Research Method. The design presents an approach to decentralize insurance systems by reducing the number of intermediaries. The evaluation of the artifact shows that blockchain and smart contracts can provide financial inclusion, reduce costs and automate processes in insurance processes
University of Birmingham The complexities of religious tourism motivations

This is a pre -publication copy of Terzidou, M, Scarles, C and Saunders MNK (forthcoming) The complexities of religious tourism motivations: sacred places, vows and visions Annals of Tourism Research. Abstract The aim of this paper is to understand the complexity of travel motivations to sacred places. Using ethnographic techniques within the Greek Orthodox context, we argue that while motivations are institutionally constructed, they are fragile, dynamic and progressive; being embedded within everyday performances of religion. This calls into question the fixed centeredness and predetermined sacredness of religious sites. Travel motivations become directly influenced by believers’ intimate and emergent performances not only of places but also of religion itself; the meaning of places being based on lived experiences of doing religion and interacting with the sacred, as exemplified in vows and visions. Such understandings are crucial in predicting the effects of failing pilgrimages and the processes of authentication of places, which can help explain visitation patterns.
Knowledge Transfer Among Young Mothers Going on Child-Care Leave (Based on Empirical Researches)

least three months of (unpaid) leave after the birth or adoption of the child, there is no unified EU practice concerning the length and entitlement of the child-care leave itself, be it paid or unpaid. In Belgium, Holland and Denmark, for example (OECD 2007-2008), such a leave is only one year, while in Hungary, the same leave can be up to three years per children. The social studies proven that Abstract— The purpose of our essay is to examine the knowledge transfer processes in the case of women on childcare leave as well as how much these women are motivated to share their knowledge. The professional literature contains a lot of writings concerning knowledge transfer processes; at the same time, our essay is only dealing with one specific situation: when the employee leaves the job only temporarily. Based on our research, many firms do not need and do not even have any protocol for this situation, and the employees themselves are not always interested in passing their knowledge either.
A Flexible Data Streaming Design for Interactive Visualization of Large-Scale Volume Data

Modern simulations and experiments can produce massive amounts of high-fidelity data that are challenging to transport and visualize interactively. We have designed a data streaming system to support interactive visualization of large volume data. Our streaming system design is unique in its flexibility to support diverse data organizations and its coupling with a highly efficient CPU-based ray-tracing renderer. In this paper, we present our streaming and rendering design and demonstrate the efficacy of our system with progressive rendering of streaming tree-based AMR (TAMR) volume data and radial basis function (RBF) particle volume data. With our system, interactive visualization can be achieved using only a mid-range workstation with a single CPU
Identifying misinformation on Twitter with a support vector machine

There is a large amount of information from disparate sources around the world. Due to the recent growth of online social media and its impact on society, identifying misinformation is an important activity. Twitter is one of the most popular applications that can deliver engaging data in a timely manner. Developing techniques that can detect misinformation from Twitter has become a challenging yet necessary task. This article proposes a machine learning method that can identify misinformation from Twitter data. The experiment was carried out with three widely used machine learning methods, naïve Bayes, a neural network and a support vector machine, using Twitter data collected from October to November 2017 in Thailand. The results show that all three methods can detect misinformation accurately. The accuracy of the naïve Bayes method was 95.55%, that of the neural network was 97.09%, and that of the support vector machine 98.15%. Furthermore, we analyzed the misinformation and noted some of its characteristics.
The pragmatics of discourse anaphora in English : Evidence from conversational repair

Calvet, Louis-Jean (1987) La guerre des tongues et les politiques linguistiques Pans Payot Janton, Pierre (1973) L'Esperanto Pans Presses Universitaires de France [English edition Esperanto Language, literature and community, Albany SUNY Press, 1993 ] Jespersen, Otto (1928) An international language London Allen & Unwin Phillipson, Robert (1992) Linguistic imperialism Oxford & New York Oxford University Press Richmond, Ian M (1993), ed Aspects of internationalism Language and culture (Papers of the Center for Research and Documentation on World Language Problems, 3 ) Lanham, MD University Press of America Schubert, Klaus (1989), ed Interlmguistics Berlin Mouton de Gruyter Skutnabb-Kangas, Tove, & Phillipson, Robert (1994), eds Linguistic human rights Overcoming linguistic discrimination Berlin Mouton de Gruyter
Mapping photodissociation and shocks in the vicinity of Sagittarius A

Aims. We study the chemistry in the harsh environments of galactic nuclei using the nearest one, the Galactic center (GC). Methods. We have obtained maps of the molecular emission within the central ﬁve arcminutes (12 pc) of the GC in selected molecular tracers: SiO(2–1), HNCO(5 0 , 5 –4 0 , 4 ), and the J = 1 → 0 transition of H 13 CO + , HN 13 C, and C 18 O at an angular resolution of 30 (cid:4)(cid:4) (1.2 pc). The mapped region includes the circumnuclear disk (CND) and the two surrounding giant molecular clouds (GMCs) of the Sgr A complex, known as the 20 and 50 km s − 1 molecular clouds. Additionally, we simultaneously observed the J = 2 → 1 and J = 3 → 2 transitions of SiO toward selected positions to estimate the physical conditions of the molecular gas using the large velocity gradient approximation. Results. The SiO(2–1) emission shows all the molecular features identiﬁed in previous studies, covering the same velocity range as the H 13 CO + (1–0) emission, which also presents a similar distribution. In contrast, HNCO(5–4) emission appears in a narrow velocity range mostly concentrated in the 20 and 50 km s − 1 GMCs. A similar trend follows the HN 13 C(1–0) emission. The HNCO column densities and fractional abundances present the highest contrast, with di ﬀ erence factors of ≥ 60 and 28, respectively. Their highest values are found toward the cores of the GMCs, whereas the lowest ones are measured at the CND. SiO abundances do not follow this trend, with high values found toward the CND, as well as the GMCs. By comparing our abundances with those of prototypical Galactic sources we conclude that HNCO, similar to SiO, is ejected from grain mantles into gas-phase by nondissociative C-shocks. This results in the high abundances measured toward the CND and the GMCs. However, the strong UV radiation from the Central cluster utterly photodissociates HNCO as we get closer to the center, whereas SiO seems to be more resistant against UV-photons or it is produced more e ﬃ ciently by the strong shocks in the CND. This UV ﬁeld could be also responsible for the trend found in the HN 13 C abundance. Conclusions. We discuss the possible connections between the molecular gas at the CND and the GMCs using the HNCO / SiO, SiO / CS, and HNCO / CS intensity ratios as probes of distance to the Central cluster. In particular, the HNCO / SiO intensity ratio is proved to be an excellent tool for evaluating the distance to the center of the di ﬀ erent gas components.