Miracle-dz/UniFAR-FTUs huggingface dataset:
Review of the Effects of Developments with Low Parking Requirements

Parking management and planning can be used to address several issues related to sustainable urban development. For example, parking availability affects both car ownership and usage, and parking planning can affect both land use and building costs. A tool used in several countries is minimum parking requirements (MPR) and lowering these could be a pathway to more sustainable mobility. However, the actual effects of lower MPR have not systematically been studied. In this paper we present the results of a review of sixteen developments with low MPR in Sweden, Austria, Germany, Switzerland, and the UK. Existing research and reports have been analyzed to compare these and draw conclusions on the effect of MPR on mobility patterns and mobility services. In addition, interviews were conducted with representatives from municipalities and developers. Our results indicate that the mobility patterns of individuals in the studied projects are more sustainable than in nearby projects. However, the causality of MPR and mobility is hard to establish due to the risk of self-selection and that all of the studied projects have good prerequisites for sustainable mobility practices. Many of the studied evaluations are also of poor quality with, for example, lack of appropriate control group.
The Importance of Target and Audience in Reducing Prejudice and Discrimination through Intergroup Contact and Extended Contact

THE IMPORTANCE OF TARGET AND AUDIENCE IN REDUCING PREJUDICE AND DISCRIMINATION THROUGH INTERGROUP CONTACT AND EXTENDED CONTACT Amy Ellard-Gray Advisor: University of Guelph, 2019 Dr. Serge Desmarais This dissertation compared the efficacy of intergroup contact theory with an alternative prejudice reduction intervention, extended contact. An experimental manipulation utilizing direct and extended contact conditions was created in an effort to reduce heterosexual Americans’ sexual prejudice and subtle discrimination against the LGBTQ+ group. Over the course of two studies, I tested conditions that could give extended contact an advantage over direct contact; I hypothesized that extended contact with a straight, self-identified ally would make extended contact more effective than direct contact with a gay person. Study 1 was a 2 (participant gender) x 2 (target’s sexual orientation: gay, straight) x 2 (target’s explicit support for LGBTQ+ issues: ally/advocate, non-ally/non-advocate) between-subjects experimental design. Participants viewed a video in which a male target shared facts about sexual orientation and the harmfulness of prejudice and discrimination. Participants completed an online pre-test and a post-test following the manipulation. Study 2 was essentially a replication of Study 1, but an attempt was made to strengthen the manipulation of target’s explicit support for LGBTQ+ issues. Results showed that among participants with low previous contact with the LGBTQ+ group, contact with a gayidentified target resulted in lower subtle discrimination than extended contact. The hypothesis that an ally would make extended contact more effective than direct contact was not supported in either study. However, Study 1 showed a novel finding that advocacy for LGBTQ+ issues was associated with higher subtle discrimination among those with low to no contact with the LGBTQ+ group, regardless of sexual orientation of the contact. This finding has implications for the application of prejudice reduction interventions in the real world. In addition, a pre-post comparison of prejudice showed that the manipulation itself reduced prejudice, over and above target’s self-disclosed identity, suggesting potential for a video-format prejudice reduction intervention tool that can be distributed through online channels for a large-scale reach.
Pharmacogenetic predictors of taxane-induced peripheral neuropathy

s. I also must acknowledge her students whom I have worked with directly including Stacey Winham and Siddharth Roy, both of whom did an immense amount of work on the projects within this dissertation. I also owe thanks to the data managers and statisticians on the Cancer and Leukemia Group B team including Dee Watson, Chen Jiang, Ivo Shterev, and Susan Halabi for their work on the analysis in Chapter 3. The final piece of our collaborative team is the individuals and institutions that helped with the genotyping on this project. I need to thank our collaborators at Gentris Corp. including L. Scott Clark and Nathan Campbell who performed the genotyping for Chapters 1 and 2 and the team at the Riken Center for Genomic Medicine under the direction of Michiaki Kubo who performed the genome-wide genotyping for Chapter 3. I would also like to acknowledge a number of individuals within the Institute for Pharmacogenomics and Individualized Therapy (IPIT) and the Division of Pharmacotherapy and Experimental Therapeutics (DPET). During my time in the lab I have interacted with brilliant scientists and great friends. I particularly appreciate the scientific guidance I have received from Michael
Human Pluripotent Stem Cell Modeling of Tuberous Sclerosis Complex Reveals Lineage-Specific Therapeutic Vulnerabilities

mTORC1 hyperactivation resulting from inactivating TSC2 mutations underlie the multi-system tumor disorder tuberous sclerosis complex (TSC) and the rare pulmonary neoplasm lymphangioleiomyomatosis (LAM). Mutation-bearing neural precursor cells (NPCs) lead to the formation of TSC brain tumors during development, while the cell of origin of TSC mesenchymal tumors such as LAM is unknown. We report the first model of multi-system TSC cell types, characterized by NPCs and neural crest cells (NCCs) differentiated in parallel from multiple engineered TSC2-/- human pluripotent stem cell (hPSC) lines. These cells successfully model defining phenotypes of neural and mesenchymal TSC, with transcriptomic signatures reflecting those observed in patient tumors, thus establishing TSC2-/- NCCs as a powerful model of LAM. Employing this rich cellular and transcriptomic resource, we identified lineage-specific catabolic signaling mechanisms that drive divergent cell behavior and therapeutic sensitivities that, in turn, demonstrate the power of employing lineage-specific stem cell models to dissect multi-system diseases.
Dictionary‐Based Automated Information Extraction From Geological Documents Using a Deep Learning Algorithm

Massive unstructured geoscience data are buried in geological reports. Geological text classification provides opportunities to leverage this wealth of data for geology and mineralization research. Existing studies of massive geoscience documents/reports have not provided effective classification results for further knowledge discovery and data mining and often lack adequate domain‐specific knowledge. In this paper, we present a novel and unified framework (namely, Dic‐Att‐BiLSTM) that combines domain‐specific knowledge and bidirectional long short‐term memory (BiLSTM) for effective geological text classification. Dic‐Att‐BiLSTM benefits from a matching strategy by incorporating domain‐specific knowledge developed based on geoscience ontology to grasp the linguistic geoscience clues. Furthermore, Dic‐Att‐BiLSTM brings together the capacity of a geoscience dictionary matching approach and an attention mechanism to construct a dictionary attention layer. Finally, the network framework of Dic‐Att‐BiLSTM can utilize domain‐specific knowledge and classify geological text automatically. Experimental verifications are conducted on two constructed data sets, and the results clearly indicate that Dic‐Att‐BiLSTM outperforms other state‐of‐the‐art text classification models.
An Investigation on Utilization of Internet and Television in Senior Secondary Schools in Rigachukun Inspectorate of Kaduna State in Nigeria

An investigation was carried out to study the effects of television and internet on academic performance of senior secondary schools students in Rigachukun Inspectorate of Kaduna state. A well structured and designed questionnaire was adopted in eliciting information from the respondents. The respondents were sampled from schools within Kaduna state. The information obtained showed that the percentage of senior secondary school students who made use of internet for academic purpose was as much as those who could not operate a computer or even browse the internet. Good number of students applied internet mostly through phones and computer with internet access in solving their assignment. A larger percentage of students devoted their time to watching non-educative programs on television, even though it was discovered that some of them also watch educative programs. Positive impacts of television and internet are however obscuring and not glaring. Investigation carried out revealed that students in senior secondary schools need to be sensitized and oriented on how they can derive the best from internet and television. Schools should be encouraged in using television and internet as an instrument of learning and teaching.
The first complete chloroplast genome sequence of Vicia ramuliflora (Fabaceae)

Abstract Vicia ramuliflora belongs to the Fabaceae. It is a perennial herb, with high economic value. The cpDNA of V. ramuliflora was 124,682 bp long with IR loss. It contains 109 genes, including 76 protein-coding genes, 29 tRNA genes, and 4 rRNA genes. The overall GC content is 35.1%. The phylogenetic tree indicates that Vicia species formed a monophyletic lineage with high bootstrap value. This study has provided new genome information for the phylogenetic analysis of Fabaceae.
Placing Large Group Relations into Pedestrian Dynamics: Psychological Crowds in Counterflow

Understanding influences on pedestrian movement is important to accurately simulate crowd behaviour, yet little research has explored the psychological factors that influence interactions between large groups in counterflow scenarios. Research from social psychology has demonstrated that social identities can influence the micro-level pedestrian movement of a psychological crowd, yet this has not been extended to explore behaviour when two large psychological groups are co-present. This study investigates how the presence of large groups with different social identities can affect pedestrian behaviour when walking in counterflow. Participants (N = 54) were divided into two groups and primed to have identities as either ‘team A’ or ‘team B’. The trajectories of all participants were tracked to compare the movement of team A when walking alone to when walking in counterflow with team B, based on their i) speed of movement and distance walked, and ii) proximity between participants. In comparison to walking alone, the presence of another group influenced team A to collectively self-organise to reduce their speed and distance walked in order to walk closely together with ingroup members. We discuss the importance of incorporating social identities into pedestrian group dynamics for empirically validated simulations of counterflow scenarios.
Regularised Estimation of the Precision Matrix for Financial Data- Regularisation Through Portfolio Optimisation

A fundamental aspect of quantitative finance is portfolio optimisation, a field of mathematics that is very much governed by the Modern portfolio theory introduced by Harry Markowitz in 1952. The goal is to maximise the expected return for a given pre-determined level of risk. An optimal portfolio solving the problem is directly proportional to the inverse covariance matrix – the precision matrix – of the returns. Since the covariance structure in between markets is unknown, so is the precision matrix. Therefore, it must be estimated out of historical data, something that is not easily done due to the bad conditioning of the problem. There is thus a need for regularisation. This Master’s thesis proposes and derives a new estimator of the precision matrix, intending to minimise the expected distance between a pre-determined target level of risk and the actual risk of a Markowitz optimal portfolio. Since the proposed estimator belongs to the class of rotation-invariant estimators, minimisation is carried out by direct manipulation of its eigenvalues. Optimal parameters of a spectral mapping are found based on historical data. The mapping, defined by the computed optimal parameters, is then used for regularising the sample precision matrix of future data. The performance of the new estimator is compared with a simple l2-penalised sample estimator and with two l1and l2-penalised maximum likelihood estimators. An estimator is considered to perform well if the risk of its corresponding Markowitz portfolio is close to the target risk, given that the estimator doesn’t underestimate the covariance out-of-sample. The results reveal that the choice of spectral mapping is of great importance for the strategy to be successful. For one of the investigated mappings the risk of the corresponding portfolio is indeed close to the target risk, even though the estimator seems to perform less well out-of-sample than some of the reference estimators. Further investigations of other mappings should be carried out.
Utilizing an electronic feeder to measure mineral and energy supplement intake in beef heifers grazing native range

© The Author(s) 2019. Published by Oxford University Press on behalf of the American Society of Animal Science. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com Transl. Anim. Sci. 2019.3:1719–1723 doi: 10.1093/tas/txz065
Influence of Cryoconcentration on Quality Attributes of Apple Juice (Malus Domestica cv. Red Fuji)

Apple juice was subjected to centrifugal block cryoconcentration (CBCC) for three cycles and their effect on the physicochemical properties, bioactive compounds, antioxidant activity, volatile profile, and sensory analysis was investigated. In the final cycle, the solutes were approximately four-fold of the initial condition (≈14 °Brix) and the color (ΔE* ≈ 25.0) was darker than the fresh juice, with bioactive compound concentration values close to 819 mg GAE/100 g d.m. , 248 and 345 mg CEQ/100 g d.m. for total polyphenol, flavonoid, and flavanol content, respectively, equivalent to a retention of over 60%. DPPH and FRAP assays presented high antioxidant activities, with values of approximately 1803 μmol TE/100 g d.m. and 2936 μmol TE/100 g d.m, respectively. The cryoconcentrate showed a similar aromatic profile to the fresh juice, with 29 and 28 volatile compounds identified, respectively. The centrifugal force allowed to obtain excellent process parameters, with 73%, 0.87 (kg/kg), and 85% for efficiency, solute yield, and percentage of concentrate, respectively. Sensory evaluation shows that the odor, aroma, and flavor of fresh sample were remained in the reconstituted cryoconcentrate sample, with good qualifications (four points in a five-score hedonic scale) by trained panelists. Therefore, CBCC can preserve important quality attributes from apple juice.
Trends in Performance Management System: A Study of Indian Service Provider Companies

The purpose of the present article is to understand current trends in performance management. For this purpose, perceptions of professionals providing knowledge services are analyzed. In the present article, feedbacks are collected from middle-level executives and HR professionals on dimensions, namely, performance planning, goal setting process, review process, reward discussion, etc. In the present work, qualitative method is applied with multiple case studies. The idea behind is to understand the current aspects, challenges, and the strategies applied by the organizations. Data were collected from nine companies from different sectors such as information technology and information technology enabled services (IT/ITES), consulting, and financial service providers. The results revealed that companies are open in goal setting process and give employees a lot of flexibility as what should be their goals and objectives. They believe in continuous improvement in all the processes, whether it is goal setting or continuous feedback system. Goals may change or can be different for onsite and offsite professionals as per the requirements of the clients. Many firms had removed bell curve from their system. Professional perceived the performance management systems need to be internally aligned, but at the same time pointed towards a need for improvement on the way feedback are communicated. The recent trend is seen in terms of usage of cutting-edge technology even in human resource functions, which gives them better results. Companies believe in recognizing the potential and performance of employees. Promotions are no more based on only past performance.
AUTOMATIC DETECTION OF FIRE AND ACCIDENT PIXELS USING TENSORFLOW TECHNOLOGIES

: In the present scenario human requires security services like hospital, police and fire services. These services mainly depend on the human intervention. Without human interaction these services will not respond automatically. Due to lack of quick human interaction, cost of damage increases. In order to reduce the damage, we co-ordinate these services through Artificial Intelligence. Based on the intensity of the damage, photographs and exact location is sent to the respective departments. In this work, we investigate the automatic detection of fire pixel, accidents, and Illegal threat regions in video imagery within real-time bounds without reliance on temporal scene information. As an addition to previous work in the arena, we deliberate the performance of experimentally defined, reduced complexity deep convolutional neural network (CNN) architectures for this task. Opposed to modern trends in the field, our work demonstrates utmost accuracy for entire image binary fire detection, with maximum accuracy within our super pixel localization framework can be attained, via a network architecture of considerably reduced complexity. We show the relative performance accomplished in contradiction of prior work using standard datasets to demonstrate maximally strong real-time fire pixel, accidents, and Illegal threat region detection.
Cellular internalization of Godanti Bhasma (anhydrous CaSO4) induces massive cytoplasmic reversible vacuolation and survival response of mammalian cells.

Cellular internalization and intracellular trafficking of particles depend on their specific physicochemical properties. Godanti Bhasma (GB) is a traditional Indian medicine formulation prepared by heating of gypsum powder with herbal extracts. Chemically, GB is anhydrous calcium sulfate. During formulation it obtains unique physicochemical properties that lead to its rapid cellular internalization and induction of massive cytoplasmic vacuolation. Interestingly, no cellular internalization was found with parent gypsum particle. Flow cytometry analysis and live tracking of GB treated cell showed particle internalization, vacuole formation, particle dissolution and later vacuolar turnover. GB particle dissolution in acidic cell free solution mimics intravacuolar environment where GB was disintegrated under acidic pH suggesting lysosomal enzymes might have no role in GB degradation. Vacuolation often accompany with the sign of cell death whereas, in our study, massive vacuolation by GB did not induce any cell death. Moreover, GB treated cells survive with complete vacuolar process, which was reversed following post-treatment with vacuole inhibitors in GB treated cells, suggesting normal vacuolar function is essential for cell survival. In immunoblotting, upregulation of LC3-II was found in GB treated cells. Treatment of the cells with GB was also found to induce translocation of the LC3 protein from the nucleus to vacuolar membrane by immune-cytochemistry, indicating LC3 associated phagocytosis (LAP) like function. This was found to be reversed in the cells treated with vacuole inhibitors. The vacuolar function essential for cell survival, preserves mechanistic correlation with LC3 lipidation on vacuolar membrane, intracellular controlled and slow degradation of GB particle and further vacuolar turnover limiting swelling pressure in cells.
The dark side of helping behaviors: Partner support increases daily alcohol use in outpatients with a history of alcohol dependence

The primary goal of the present study was to systematically investigate the role of intimate partner support in alcohol use and to examine whether partner support serves a maladaptive function among individuals with a history of alcohol dependence. This goal was pursued in a sample of low-income outpatients because of increased risk for chronic stress and alcohol use disorders among this population. We implemented a comprehensive, multi-method assessment of partner support and ecological momentary assessments of alcohol use over 14 consecutive days. Results demonstrate the potential “dark side” of helping behaviors that has been proposed in recent literature. Specifically, in a sample of low-income outpatients, we found that receiving more frequent and higher quality support from one’s partner put individuals meeting criteria for alcohol dependence at greater risk for consuming alcohol. Findings converge with research suggesting that helping behaviors might function to enable maladaptive coping mechanisms in the context of alcohol use disorders.
Methods to identify the destructive information

The article discusses the methods that ensure the detection of destructive messages in the Internet environment. It is shown that to detect them the approaches based on the analysis of the syntactic patterns; analysis of semantic information included in the text, and correlating it with the text corpus; crowd sourcing methods; identification of the patterns of user behavior in social networks; the consideration of the additional information etc., were applied. Good results can be achieved under certain conditions: an access to traffic social networks and other online news resources, opportunities to organize or to get results from crowd sourcing, etc., when there are the restrictions on these conditions the detection of destructive messages can be performed based on indirect signs. The results of the detection of destructive news in the corpus of news reports in Russian, posted on the websites of the Republic of Kazakhstan are shown.