Miracle-dz/UniFAR-FTUs huggingface dataset:
The hidden value of organizational health– and how to capture it

For the past decade, we’ve been conducting research, writing, and working with companies on the topic of organizational health. Our work indicates that the health of an organization is based on the ability to align around a clear vision, strategy, and culture; to execute with excellence; and to renew the organization’s focus over time by responding to market trends. Health also has a hard edge: indeed, we’ve come to define it as the capacity to deliver— over the long term—superior financial and operating performance.
Synthesis and Characterization of Mesoporous Silica Nanoparticles Loaded with Repaglinide for Dissolution Enhancement

It was evident from the literature that mesoporous silica nanoparticles can be a suitable drug carrier system because of biocompatibility, drug loading capacity; targeting ability and tunable porosity. This investigation was aimed to synthesize mesoporous silica carriers by sol-gel method using tetraethyl orthosilicate as precursor and cetyl trimethyl ammonium bromide and cetylpyrridinium chloride as a pore generating agent. Initially the effect of molar concentrations of cationic surfactants on the pore size of porous nanoparticles was studied followed by loading of repaglinide onto the surface as well as inside the pores of nanoparticles by solvent immersion method. The loaded mesoporous silica nanoparticles were evaluated for % drug loading and in vitro release. Techniques including N2-adsorption-desorption isotherm, x-ray diffractometry, scanning electron microscopy were used for characterization. The drug loading (90.3±0.25 %) was observed highest in case of nanoparticles prepared with and cetyl trimethyl ammonium bromide than that of cetylpyrridinium chloride. The drug release was found 96.5±1.15 % which was more than that of pure drug and marketed formulation. The results revealed drug loading with slight decrease in crystallinity of drug in mesoporous silica nanoparticles. The particles were spherical in shape with smooth surface. In conclusion the mesoporous silica nanoparticles had shown increased dissolution because of increased surface area.
Reconstruction of a 2D layer of KBr on Ir(111) and electromechanical alteration by graphene

A novel reconstruction of a two-dimensional layer of KBr on an Ir(111) surface is observed by high-resolution noncontact atomic force microscopy and verified by density functional theory (DFT). The observed KBr structure is oriented along the main directions of the Ir(111) surface, but forms a characteristic double-line pattern. Comprehensive calculations by DFT, taking into account the observed periodicities, resulted in a new low-energy reconstruction. However, it is fully relaxed into a common cubic structure when a monolayer of graphene is located between substrate and KBr. By using Kelvin probe force microscopy, the work functions of the reconstructed and the cubic configuration of KBr were measured and indicate, in accordance with the DFT calculations, a difference of nearly 900 meV. The difference is due to the strong interaction and local charge displacement of the K+/Br− ions and the Ir(111) surface, which are reduced by the decoupling effect of graphene, thus yielding different electrical and mechanical properties of the top KBr layer.
Triple-Centered and Schema-Agnostic Keyword Search over RDF using Elasticsearch

The task of accessing knowledge graphs through structured query languages like SPARQL is rather demanding for ordinary users. Consequently, various approaches exploit the simpler and widely used keyword-based search paradigm, either by translating keyword queries to structured queries, or by adopting classical information retrieval (IR) techniques. In this paper, we study and adapt Elasticsearch , an out-of-the-box document-centric IR system, for supporting keyword search over arbitrary RDF datasets. Contrary to other works that mainly retrieve entities, we opt for retrieving triples, due to their expressiveness and informativeness. We specify the set of functional requirements and study the emerging questions related to the selection and weighting of the triple data to index, and the structuring and ranking of the retrieved results. Then we perform an extensive evaluation of the different factors that affect the IR performance for four different query types. The reported results are very promising and offer useful insights on how different Elasticsearch conﬁgurations affect the retrieval effectiveness and efﬁciency. Overall, the proposed method is a scalable and efﬁcient method for keyword search over RDF with effectiveness comparable to the effectiveness of dedicated task-and dataset-speciﬁc systems (as evaluated using DBpedia-Entity test collection for entity search). It is triple-centered, enabling the provision of more precise and explainable results, and relies on a special conﬁguration of Elasticsearch for the needs of RDF that is schema agnostic, and thus widely applicable. Finally we brieﬂy describe Elas4RDF , a system that is powered by the proposed approach.
The Avon Longitudinal Study of Parents and Children - a resource for COVID-19 research: approaches to the identification of cases November 2020

The Avon Longitudinal Study of Parents and Children (ALSPAC) is a prospective population-based cohort study which recruited pregnant women in 1990-1992 and has followed these women, their partners (Generation 0; G0) and their offspring (Generation 1; G1) ever since. The study reacted rapidly to the coronavirus disease 2019 (COVID-19) pandemic, deploying three online questionnaires in March, May and October 2020. Home-based antibody tests accompanied the third questionnaire. In addition, linkage to Public Health England (PHE) Pillar I and II testing results has been obtained for all participants who have consented or for whom we have NHS Confidentiality approval group permitted Section 251 access. For the purposes of ongoing study, we have identified likely cases of COVID-19 from available data. To determine likely cases, we have developed a hierarchy depending on the source of the data: self-report, antibody test result and Pillar I and II linkage and a combination thereof; providing more certainty in the case status. This data note describes how we have ascertained case status in ALSPAC. The subsequent case variable will be made available through our COVID release files alongside testing data from PHE.
Young Chinese WeChat Users’ Brand-Following Behavior

Brand-following of consumers on social media constitutes an important return on investment (ROI) index in digital marketing. However, little is known to date regarding brand-following behaviors of young Chinese social media users on Chinese social media platforms, in addition to the factors associated with them. In this study, our in-depth interviews with 20 emerging adults who followed brands through WeChat indicated that materialistic values, brand-related peer communication, and parents’ opinions regarding different product categories impact the brand-following behaviors of young consumers. The interviews also demonstrated that young people’s brand-following affected their intentions to post brand-related messages that were pertinent to luxury brands. However, their purchase intentions were limited to the most affordable items from those luxury brands. In addition, they were less likely to repost brand information created and provided by marketers. Theoretical and practical implications are discussed herein, and suggestions for future research provided. Perilaku Mengikuti Merek pada Pemuda Republik Rakyat Tiongkok Pengguna WeChat
Generating Rough Stereoscopic 3D Line Drawings from 3D Images

We present a method to produce stylized drawings from stereoscopic 3D (S3D) images. Taking advantage of the information provided by the disparity map, we extract object contours and determine their visibility. The discovered contours are stylized and warped to produce an S3D line drawing. Since the produced line drawing can be ambiguous in shape, we add stylized shading to provide monocular depth cues. We investigate using both consistently rendered shading and inconsistently rendered shading in order to determine the importance of lines and shading to depth perception.
Microsoft Word-26751875-file00

Department of Pharmacology (C.M.N., K.A.J., C.D.W., C.K.J., Z.X., Q.L., A.L.R., J.E.M., T.D.P., A.T., J.E.A., R.W., C.W.L., P.J.C.); Department of Chemistry (C.W.L.), Vanderbilt Program in Drug Discovery (C.M.N., K.A.J., C.D.W., C.K.J., Z.X., Q.L., A.L.R., J.E.M., A.T., R.W., C.W.L., P.J.C.); Vanderbilt Institute for Chemical Biology (C.D.W., E.D., T.N., C.A.A., M.B.W., C.W.L., P.J.C.); Vanderbilt University, Nashville, TN 37232. These authors contributed equally to this work (C.M.N., K.A.J.). Molecular Pharmacology Fast Forward. Published on July 29, 2008 as doi:10.1124/mol.108. 049551
“If Others Are Honest, I Will Be Too”: Effects of Social Norms on Willingness to Fake During Employment Interviews

Applicant faking in employment interviews is a pressing concern for organizations. It has previously been suggested that subjective norms may be an important antecedent of faking, but experimental studies are lacking. We report a preregistered experiment (N = 307) where effects of conveying descriptive social norms (information about what most applicants do) on self-reported willingness to fake were examined. Although we observed no difference between the faking norm condition and the control condition, in which no norm was signaled, participants in the honesty norm condition reported lower willingness to fake compared to those in both the faking norm condition and the control condition. The latter supports the idea that conveying honesty norms may be an effective means of reducing faking, although future research needs to evaluate its usefulness in real employment interviews.
School Participation and Labor Supply in Urban Mexico: Evaluating Alternative CCT Policies Using Structural Estimation

I develop and estimate a dynamic household choice model that incorporates a broad set of determinants of children’s labor supply and school attendance, to perform ex-ante evaluations of alternative versions of the urban implementation of the Mexican conditional cash transfer program Oportunidades. Previous research suggests that re-calibrating the targeting and parameters of the educational component of the program could potentially improve its effectiveness with respect to two key objectives: (i) increasing average schooling levels and (ii) eliminating the educational gender gap. The estimation of this behavioral model complements previous ex-post evaluations by providing a forecasting tool that can replicate how the households solve the optimization problem as the program’s structure changes. I focus on evaluating cost-equivalent policy schemes that improve the program’s efficacy in the first dimension. I find that, by eliminating grants at primary and lower secondary levels (where attendance is close to universal) and proportionally expanding transfers at upper secondary, attendance rates could increase by 14.8% for youth 15-17. JEL: J22, J24, J13, O21, R28 ∗arturoharker@ucla.edu. I am extremely grateful to Moshe Buchinsky and Maria Casanova, who have guided and encouraged me through the process. I also like to thank Day Manoli, Paola Giuliano, Guillermo Beylis, Claudia Ruiz and seminar participants at the Albert Family Fund Seminar in Applied Microeconomics at UCLA for their helpful comments. My work would not have been possible without the amazing support of the staff at the Academic Technology Services of UCLA. All errors are my own.
An approximate MRF model for querying large sparse binary data

In this paper we consider the problem of estimating the selectivity of conjunctive queries on large sparse binary data. Recently, an approach based on generating a maximum entropy model from frequent itemset patterns was shown to out-perform other extant approaches such as mixture modeling using Bernoulli distributions, inclusion-exclusion ADTree model, etc. However, a key limitation of the maximum entropy model, which can also be viewed as a Markov Random Field (MRF), is that it needs to build a model on the ﬂy for every query. This localized approach to estimation can be quite expensive for complex queries, thus limiting its use in settings where response time is crucial. We address this limitation through the design of a global model that takes into account all the variables in the data. The model is constructed ofﬂine once. Subsequently answers to ad-hoc queries can be estimated from the global model, thus avoiding online model construction. The modeling approach ﬁrst employs graph partitioning to cluster variables into balanced disjoint partitions, and then augments important edges across partitions to capture interdependencies across them. A local MRF model is generated for each partition, and then all local MRF models are combined together to form a global model of the data. A probabilistic estimation procedure is developed to estimate the selectivity of ad-hoc queries from the model summary. Extensive empirical evaluations on real datasets demonstrate the viability of the approach when compared to extant strategies in terms of overall accuracy and especially in terms of efﬁciency.
University of Groningen Maternal Androgens Increase Sibling Aggression, Dominance, and Competitive Ability in the Siblicidal Black-Legged Kittiwake (Rissa tridactyla) Muller,

Animals and plants routinely produce more offspring than they can afford to rear. Mothers can favour certain young by conferring on them competitive advantages such as a leading position in the birth sequence, more resources or hormones. Avian mothers create hatching asynchrony within a clutch and at the same time bestow the eggs with different concentrations of androgens that may enhance or counteract the competitive advantage experienced by early-hatching ‘‘core’’ young. In siblicidal birds, core young assume a dominant social position in the nest due to their size advantage and when threatened with starvation fatally attack subdominant later-hatching ‘‘marginal’’ young. A role for maternal androgens in siblicidal aggression has frequently been suggested but never tested. We studied this in the facultatively siblicidal blackheaded kittiwake. We found that marginal eggs contain higher instead of lower concentrations of androgens than core eggs. Surprisingly, exposure to experimentally elevated yolk androgens increased sibling aggression and dominance, even though in nature marginal eggs never produce dominant chicks. We propose the ‘‘adoption facilitation hypothesis’’ to explain this paradox. This cliff-nesting colonial species has a high adoption rate: ejected marginal kittiwake chicks frequently fall into other nests containing chicks of similar or smaller size and exposure to yolk androgens might help them integrate themselves into a foster nest. Citation: Müller MS, Roelofs Y, Erikstad KE, Groothuis TGG (2012) Maternal Androgens Increase Sibling Aggression, Dominance, and Competitive Ability in the Siblicidal Black-Legged Kittiwake (Rissa tridactyla). PLoS ONE 7(10): e47763. doi:10.1371/journal.pone. 0047763 Editor: Tobias Deschner, Max Planck Institute for Evolutionary Anthropology, Germany Received July 17, 2012; Accepted September 19, 2012; Published October 24, 2012 Copyright: 2012 Muller et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: The authors have no support or funding to report. Competing Interests: The authors have declared that no competing interests exist. * E-mail: martina.muller9@gmail.com
Assisting Understanding, Retention, and Dissemination of Religious Texts Knowledge with Modeling, and Visualization Techniques: The Case of The Quran

Learning a book in general involves reading it, underlining important words, adding comments, summarizing some passages, and marking up some text or concepts. Once deeper understanding is achieved, one would like to organize and manage her/his knowledge in such a way that, it could be easily remembered and efficiently transmitted to others. In this paper, books organized in terms of chapters consisting of verses, are considered as the source of knowledge to be modeled. The knowledge model consists of verses with their metadata and semantic annotations. The metadata represent the multiple perspectives of knowledge modeling. Verses with their metadata and annotations form a meta-model, which will be published on a web Mashup. The meta-model with linking between its elements constitute a knowledge base. An XML-based annotation system breaking down the learning process into specific tasks, helps constructing the desired meta-model. The system is made up of user interfaces for creating metadata, annotating chapters’ contents according to user selected semantics, and templates for publishing the generated knowledge on the Internet. The proposed software system improves comprehension and retention of knowledge contained in religious texts through modeling and visualization. The system has been applied to the Quran, and the result obtained shows that multiple perspectives of information modeling can be successfully applied to religious texts. It is expected that this short ongoing study would motivate others to engage in devising and offering software systems for cross-religions learning.
Are Temporary Jobs Stepping Stones or Dead Ends? A Meta-Analytical Review of the Literature

IZA DP No. 14367 MAY 2021 Are Temporary Jobs Stepping Stones or Dead Ends? A Meta-Analytical Review of the Literature We present a meta-analysis on the debate about the “stepping stone vs. dead end” hypothesis related to the causal effect of temporary jobs on future labour market performances. We select academic papers published on international peer-reviewed journals from 1990 until 2021. Among 78 observations from 64 articles, 32% support the hypothesis according to which temporary contracts are a port of entry into stable employment positions, 23% report ambiguous or mixed findings, and the remaining 45% provide evidence in favour of the dead end hypothesis. The results from meta-regressions suggest that the stepping stone effect is more likely to emerge when self-selectivity issues are dealt with, especially when using the timing-of-events approach. The studies focusing on temporary work agency jobs and casual/seasonal jobs detect more easily results in favour of the dead end hypothesis. Finally, in more recent years and when the unemployment rate is larger, the dead end hypothesis is more likely to prevail. JEL Classification: J08, J41, J42, J81
ACCEPTANCE ANALYSIS OF THE E-PROCUREMENT OF EAST JAVA PROVINCE USING TAM METHOD

Technological developments have changed the system of the government. The East Java Provincial Government utilizes Information and Communication Technology for the procurement of goods and services. This study aims to measure the level of acceptance of technology in the system and the satisfaction of applications for the goods and services procurement in East Java Province. The results of this study can be used to improve the system that has been made. This study uses the Technology Acceptance Model (TAM) method in measuring using (5) aspects, namely Perception of Ease of Use, Beneﬁts of Use, Attitudes toward behavior, Interest in Behavior, and Behavior. This study used 90 respondents. The results showed that from the regression test on the variable Perception of Ease of Use with Beneﬁts of Use of 13.5%, Perception of Ease of Use with Attitudes Against Behavior amounted to 38.7%. Ben-eﬁts of Using Attitudes Against Behavior was 23.9%, Beneﬁts of Use with Interest Behavior amounted to 11.5%, Attitudes toward Behavior were Large with Interest in Behavior at 22.2%. Beneﬁts of Use with Behavior amounted to 10.1%, and Interests in Behavior with Behavior were 13.2%. The study results show that the user’s ease and attitude have the highest value and interest in behavior. Therefore the East Java provincial government can maintain the procurement application
Maximizing Returns for Investors Using Modern Portfolio Theory and the Efficient Frontier

There exists an efficient frontier upon which there is an optimal point of allocation of an investor’s assets among different types of investment vehicles. Identifying this point and allocating a portfolio accordingly allow an investor to capture the highest market return with the least amount of risk. This research study offers a model which can be used to find this optimal investment allocation and discusses the challenges and assumptions associated with using it. Using techniques discussed in Markowitz (1952), we obtain the optimal allocation of wealth for two portfolios of 13 and 12 assets, respectively. Such a model is not intended to portray the “perfect” portfolio allocation but provides context for decision making based upon the desire for high returns and investor’s aversion to risk. This model allows for optimal allocation, both with and without constraints to short selling. The results from the models have important implications by providing investment advisors more sophistication when assigning allocation weights. Instead of assigning these weights arbitrarily, which is common in wealth advisory, our model provides direction for obtaining the weights corresponding to the efficient frontier.
Valued Authorization Policy Existence Problem

Problems of satisfiability and resiliency in workflows have been widely studied in the last decade. Recent work has shown that many such problems may be viewed as special cases of the authorization policy existence problem (APEP), which returns an authorization policy if one exists and "No'' otherwise. A solution may not exist because of the restrictions imposed by the base authorization relation and constraints that form part of the input to APEP. However, in many practical settings it would be more useful to obtain a "least bad" policy than just a "No", where "least bad'' is characterized by some numerical value associated with the policy indicating the extent to which the policy violates the base authorization relation and constraints. Accordingly, we introduce the Valued APEP, which returns an authorization policy of minimum weight, where the (non-negative) weight is determined by the constraints violated by the returned solution (and is 0 if all constraints are satisfied). We then establish a number of results concerning the parameterized complexity of Valued APEP. We prove that the problem is fixed-parameter tractable if the set of constraints satisfies two restrictions, but is intractable if only one of these restrictions holds. (Most constraints known to be of practical use satisfy these restrictions.) We introduce the notion of a user profile for a weighted constraint, which enables us to prove a powerful result, a corollary of which improves on known complexity results for APEP. Finally, we consider Valued APEP when restricted to particular sub-classes of constraints and show that instances of such problems can be reduced to the valued workflow satisfiability problem, enabling us to exploit known algorithms to solve these particular instances.