Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of Polygenic Risk for Attention- Deficit/Hyperactivity Disorder With Co-occurring Traits and Disorders

Citing this paper Please note that where the full-text provided on King's Research Portal is the Author Accepted Manuscript or Post-Print version this may differ from the final Published version. If citing, it is advised that you check and use the publisher's definitive version for pagination, volume/issue, and date of publication details. And where the final published version is provided on the Research Portal, if citing you are again advised to check the publisher's website for any subsequent corrections.
The Effect of Internal Complaints Systems on Employee Retention and Turnover Intention : The Mediating Role of Organizational Justice

This study draws on exit, voice, and loyalty theory, a concept that has been used to examine the behaviour of customers after purchasing and to develop corresponding marketing defence systems that seek to retain customers. The internal complaint system (ICS) is considered the most prominent of these strategies. Studies related to understanding the impact of the ICS on employees are limited and primarily focused on how the ICS impacts organizational goals and customers. This study is concerned with understanding the impact of the ICS on the ability of the organization to retain its employees on the one hand and the extent of employees’ desire to leave the organization on the other hand by measuring organizational justice as a mediator. The population of this study includes employees engaged at the time of study in five-star hotels in Northern Cyprus. Partial least squares regression was used to analyse the study data. Results proved that there is a statistically significant relation between ICS on both employee retention and employees’ intention to leave through the mediating variable of organizational justice. Providing a highly efficient ICS is therefore recommended in order for organizations to achieve retention objectives for clients and employees alike.
Evidence for B ! 0 and Improved Measurements for B ! 0 K

J. Schümann, C. H. Wang, K. Abe, I. Adachi, H. Aihara, D. Anipko, K. Arinstein, Y. Asano, T. Aushev, A. M. Bakich, V. Balagura, E. Barberio, M. Barbero, A. Bay, I. Bedny, U. Bitenc, I. Bizjak, S. Blyth, A. Bondar, A. Bozek, M. Bračko, T. E. Browder, M. -C. Chang, P. Chang, Y. Chao, A. Chen, W. T. Chen, B. G. Cheon, Y. Choi, Y. K. Choi, A. Chuvikov, S. Cole, J. Dalseno, M. Danilov, M. Dash, J. Dragic, A. Drutskoy, S. Eidelman, D. Epifanov, S. Fratina, N. Gabyshev, T. Gershon, A. Go, G. Gokhroo, B. Golob, A. Gorišek, H. C. Ha, J. Haba, T. Hara, N. C. Hastings, K. Hayasaka, H. Hayashii, M. Hazumi, L. Hinz, T. Hokuue, Y. Hoshi, S. Hou, W. -S. Hou, Y. B. Hsiung, T. Iijima, A. Imoto, K. Inami, A. Ishikawa, R. Itoh, M. Iwasaki, Y. Iwasaki, J. H. Kang, P. Kapusta, N. Katayama, H. Kawai, T. Kawasaki, H. R. Khan, H. Kichimi, S. K. Kim, S. M. Kim, K. Kinoshita, R. Kulasiri, R. Kumar, C. C. Kuo, A. Kuzmin, Y. -J. Kwon, J. S. Lange, J. Lee, T. Lesiak, A. Limosani, D. Liventsev, J. MacNaughton, G. Majumder, F. Mandl, D. Marlow, T. Matsumoto, A. Matyja, W. Mitaroff, H. Miyake, H. Miyata, Y. Miyazaki, R. Mizuk, G. R. Moloney, T. Mori, T. Nagamine, I. Nakamura, E. Nakano, M. Nakao, Z. Natkaniec, S. Nishida, O. Nitoh, S. Ogawa, T. Ohshima, T. Okabe, S. Okuno, S. L. Olsen, H. Ozaki, P. Pakhlov, H. Palka, C. W. Park, H. Park, N. Parslow, L. S. Peak, R. Pestotnik, L. E. Piilonen, M. Rozanska, Y. Sakai, T. R. Sarangi, N. Sato, T. Schietinger, O. Schneider, C. Schwanda, R. Seidl, K. Senyo, M. E. Sevior, M. Shapkin, H. Shibuya, B. Shwartz, V. Sidorov, A. Sokolov, A. Somov, N. Soni, R. Stamen, S. Stanič, M. Starič, K. Sumisawa, S. Suzuki, F. Takasaki, K. Tamai, N. Tamura, M. Tanaka, G. N. Taylor, Y. Teramoto, X. C. Tian, K. Trabelsi, T. Tsuboyama, T. Tsukamoto, S. Uehara, T. Uglov, K. Ueno, S. Uno, P. Urquijo, Y. Usov, G. Varner, K. E. Varvell, S. Villa, C. C. Wang, M. -Z. Wang, Y. Watanabe, E. Won, Q. L. Xie, A. Yamaguchi, Y. Yamashita, M. Yamauchi, J. Ying, Y. Yusa, C. C. Zhang, L. M. Zhang, Z. P. Zhang, V. Zhilich, and D. Zürcher
GENERALIZED CONTROLLED RANDOM SEARCH AND COMPETING HEURISTICS

The goal of the paper is to study stochastic algorithms with high self-adaptation which could be used in ”routine” task when the global optimization problem is to be solved. A generalization of the controlled random search (CRS) algorithm is described. Several heuristics generating a new trial point are used at random with probabilities depending on the success of heuristics in preceding steps. This generalized CRS algorithm was compared experimentally with the differential evolution on several test functions. The results showed that the proposed algorithm was more reliable and more effective in most of the test functions. Moreover, the proposed algorithm does not need a special tuning of its input parameters for each task.
Comparative phytochemical analysis and in vitro antimicrobial activities of the cyanobacterium Spirulina platensis and the green alga Chlorella pyrenoidosa : potential application of bioactive components as an alternative to infectious diseases Analyse phytochimique comparative et étude in vitro des

Microalgae exhibit a huge genetic diversity. Cyanobacteria (blue-green algae) are rich sources of structurally novel and biologically active metabolites. Recent studies indicated the presence of some bioactive compounds in the blue green algae which are shown to exhibit anticancer, antimicrobial, antifungal or anti-inflammatory and other pharmacological activities. The increased use of antibiotics in the treatment of infectious diseases has led to the emergence of Multi-resistant forms of pathogenic bacteria and the imbalance of the microbiota. This work was conducted to evaluate in vitro the antibacterial and antifungal activities of two microorganisms Spirulina platensis and Chlorella pyrenoidosa against pathogenic bacteria and fungi using Agar well diffusion method and Paper disc diffusion method. The peroformed preliminary phytochemical analysis of this two dried algal samples reveals that these assays withhold some of the valuable bioactive compounds with the highest percentages of the total phenolic and total flavonoid contents in Chlorella. In present screening methanolic extract from Spirulina exhibited widespread spectrum of antimicrobial activities (43 ± 4.24 mm) and minimum inhibitory concentrations (MIC) 128 ± 0.71 μg/ml. Organic extracts from Chlorella shown that they excreted a broad spectrum of antimicrobial substances against Gram negative bacteria. However, organic extracts from Spirulina were appeared to be the most promising antibacterial activity against Gram positive bacteria. The result of chemical analyses showed that Chlorella recorded the highest percentages of the total phenolic, total flavonoid contents and chlorophyll. The algal extracts are potentially prolific sources of highly bioactive secondary metabolites that might lead in the development of new pharmaceutical agents for the treatment of bacterial infections.
Understanding the Inter-Domain Presence of Research Topics in the Computing Discipline

The very nature of scientific inquiry encourages the flow of ideas across research domains in a discipline. Research topics with higher inter-domain presence tend to attract higher attention at individual and organizational levels. This is more pronounced in a discipline like computing, with its deeply intertwined ideas and strong connections with technology. In this paper, we study corpora of research publications across four domains of the computing discipline – covering more than 150,000 papers, involving more than 200,000 authors over 55 years and 175 publication venues – to examine the influences on inter-domain presence of research topics. We find statistically significant evidence that higher collective eminence of researchers publishing on a topic is related to lower inter-domain presence of that topic, fewer authors publishing on a topic relate to the topic being likely to have higher inter-domain presence, while topics belonging to more close-knit clusters of topics are likely to have lower inter-domain presence. Our results can inform decisions around defining and sustaining research agendas and offer insights on the progression of the computing discipline.
Sparse Spline Approximation on the Hypersphere by Generalised Total Variation Basis Pursuit

Many scientific inquiries in natural sciences involve approximating a spherical field –namely a scalar quantity defined over a continuum of directions– from generalised samples of the latter. Typically, a convex optimisation problem is formulated in terms of a data-fidelity and regularisation trade-off. To solve this optimisation problem numerically, scientists resort to discretisation via spherical pixelisation schemes called tessellations. Finite-difference methods for approximating (pseudo-)differential operators on spherical tessellations are however unavailable in general, making it hard to work with generalised Tikhonov or Total Variation (gTV) regularisers. To overcome such limitations, canonical spline-based discretisation schemes have been proposed. In the case of Tikhonov regularisation, optimality has been proven for spherical interpolation. A similar result for gTV regularisation is however still lacking. In this work, we propose a spline approximation framework for a generic class of reconstruction problems on the hypersphere. Such problems are formulated over infinite-dimensional Banach spaces, seeking spherical fields with minimal gTV and verifying a convex data-fidelity constraint. The data itself can be acquired by generalised sampling strategies. Via a novel representer theorem, we characterise their solution sets in terms of spherical splines with sparse innovations, Green functions of the gTV pseudo-differential operator. We use this result to derive an approximate canonical spline-based discretisation scheme, with controlled approximation error. To solve the resulting finite-dimensional optimisation problem, we propose an efficient primal-dual splitting method. We illustrate the versatility of our framework on numerous real-life examples from the field of environmental sciences and radio astronomy.
Innovation by Entrants and Incumbents Daron Acemoglu

We extend the basic Schumpeterian endogenous growth model by allowing incumbents to undertake innovations to improve their products, while entrants engage in more radical innovations to replace incumbents. Our model provides a tractable framework for the analysis of growth driven by both entry of new rms and productivity improvements by continuing rms. Unlike in the basic Schumpeterian models, subsidies to potential entrants might decrease economic growth because they discourage productivity improvements by incumbents in response to reduced entry, which may outweigh the positive e¤ect of greater creative destruction. As the model features entry of new rms and expansion and exit of existing rms, it also generates a non-degenerate equilibrium rm size distribution. We show that, when there is also costly imitation preventing any sector from falling too far below the average, the stationary rm size distribution is Pareto with an exponent approximately equal to one (the so-called Zipf distribution). We thank Sam Kortum, Erzo Luttmer, Ariel Pakes, and seminar participants at MIT and Toulouse Network on Information Technology Conference at Seattle for useful comments. We are particularly grateful to Xavier Gabaix for numerous useful suggestions at the early stages of this project. Financial support from the Toulouse Network on Information Technology is gratefully acknowledged.
Pressure Swing Adsorption Optimization Strategies for CO 2 Capture

Advanced process optimization technologies play a critical role in improving economics of carbon capture technologies. Pressure swing adsorption (PSA) has received recent attention as a potential process for economically removing CO2 from flue and/or shifted syngas for carbon capture and storage. In this work, we present state-of-the-art methods for PSA optimization using a superstructurebased approach; this allows simultaneous selection of PSA cycle steps and optimization of operating parameters (feed flowrate, recycle fractions, bed pressures, etc.). The partial differential equation (PDE) bed models are discretized with finite volumes in space and two flux limiters are compared. Sparse linear solvers are implemented to accelerate the integration of bed models and direct sensitivity equations, which are interfaced to MATLAB. The PSA optimization approach is demonstrated on a CO2/H2 separation case study for an Integrated Gasification Combine Cycle (IGCC) power plant, and solved by sequential quadratic programming (SQP) solvers.
Theta lifting of two-step nilpotent orbits for the pair O ( p ; q ) Sp ( 2 n ; R )

Let G be a linear reductive Lie group which is a subgroup in its complexi cation GC . We denote the Lie algebra of G by g0, and its complexi cation by g = C R g0. We will use the similar notation for any Lie group L; thus, LC denotes its complexi cation, l0 its Lie algebra, and l the complexi cation of l0. Take a maximal compact subgroup K of G. Then K determines a Cartan decomposition g0 = k0 s0 and its complexi cation g = k s. The adjoint action of KC preserves s, and the set of all nilpotent elements Ns in s. It is well known that Ns is a normal variety and that it has nitely many KC -orbits ([2]). Now consider a dual pair (G;G) = (O(p; q); Sp(2n;R)) (see [1] for the properties of dual pairs). In this note, we de ne certain double bration maps of nilpotent varieties for O(p; q) and Sp(2n;R). We use the double bration maps to get a correspondence between nilpotent KC -orbits in s and nilpotent K 0 C -orbits in s, which is called a \theta lift". We describe the theta lifts of two-step nilpotent orbits in Ns0, where g 0 = k s is a Cartan decomposition for G = Sp(2n;R) (Proposition 1.3). If a nilpotent KC -orbit O s is the theta lift of a nilpotent K 0 C -orbit O 0 s, it is interesting to describe the regular function ring C O by means of C O . Our main results are descriptions of the KC -module structure of C O in terms of the double bration maps (Theorem 2.4 and Proposition 3.4). In the course of the proof, we realize the closure O of the orbit as a geometric quotient of the ber of O (Proposition 3.3). As an application of these results, we get a formula of branching coeÆcients between di erent kind of classical groups (Corollary 3.5). The KC -module structures of nilpotent orbits may re ect the K-type decompositions of the corresponding admissible representation of G via orbit method (or geometric quan-
CARCASS CHARACTERISTICS AND COMMERCIAL MEAT CUTS WEIGHTS FROM NELLORE STEERS FED YERBA MATE

This study aimed to evaluate carcass characteristics and meat cut weights from cattle fed diets supplemented with different levels of yerba mate (0%, 0.5%, 1%, and 1.5% w/w). Forty-eight Nellore steers with an average age of 21 months and an initial weight of 419 kg were individually fed during 94 days with the same base diet, differing only by yerba mate content. The animals were slaughtered and after 24 hours of chilling, carcass characteristics (hot carcass weight, carcass yield, rib eye area and backfat thickness) were evaluated and cuts from the forequarter (blade and shin, hump, chuck and neck, brisket) and sawcut (strip loin, tenderloin, rump cover, topside, flat, eye round, knuckle and shank) were weighed. The beef was separated from the bones and the excess fat was trimmed, as the Brazilian commercial system. The addition of yerba mate to the cattle diet did not affect any variable analyzed.
10-708 Final Report:Investigating Max-Entropy Latent-Space Policiesfor Hierarchical Reinforcement Learning

In this paper, we investigate previous work Haarnoja et al. (2018a) that combines maximum entropy (Max-Ent) reinforcement learning and hierarchical reinforcement learning (HRL). This formulates HRL as inference over probabilistic graphical models with a particular latent variable structure. Such formulation enables training of multiple policies in a stacked, hierarchical fashion. We hypothesize that the reason that a stacked policy outperforms the low-level policy is that the low-level policy provides a good behaviour policy which eases exploration. We provide theoretical analysis for the effect of the behaviour policy in tabular cases and propose a new baseline which uses a low-level policy purely as the behaviour policy for training another policy. We find that our baseline outperforms the latent space. We additionally provide and analyze visualizations of the learned low-level, latent space policy, and we find a surprising lack of diversity in low-level skills.
PDE METHODS FOR OPTIMAL SKOROKHOD EMBEDDINGS NASSIF GHOUSSOUB, YOUNG-HEON KIM AND AARON ZEFF PALMER

We consider cost minimizing stopping time solutions to Skorokhod embedding problems, which deal with transporting a source probability measure to a given target measure through a stopped Brownian process. PDEs and a free boundary problem approach are used to address the problem in general dimensions with space-time inhomogeneous costs given by Lagrangian integrals along the paths. We introduce an Eulerian—mass flow—formulation of the problem, whose dual is given by Hamilton-Jacobi-Bellman type variational inequalities. Our key result is the existence (in a Sobolev class) of optimizers for this new dual problem, which in turn determines a free boundary, where the optimal Skorokhod transport drops the mass in space-time. This complements and provides a constructive PDE alternative to recent results of Beiglböck, Cox, and Huesmann, and is a first step towards developing a general optimal mass transport theory involving mean field interactions and noise.
Effect of Synbiotic on Performance and Serum Biochemical Parameters of

The present experiment was conducted to investigate the effect of synbiotic on performance and serum biochemical parameters of ostrich chicks. Forty eight day-old ostrich chicks were divided into 4 treatments with 4 replicates of 3 ostrich chicks in completely randomized design for 8 weeks. Dietary treatments included basal diet (control) and basal diet with 0.5, 1 and 1.5 g/kg synbiotic. Feed Intake (FI), body weight (BW) and feed conversion ratio (FCR) were measured during the whole period of the experiment (0-8 wk of age). Additionally, blood samples were taken at the end of the experiment and analyzed for serum biochemical parameters. The results showed that 1 g/kg synbiotic inclusion in the diet significantly improved BW and FCR of the chicks compared to control group (p<0.05). Furthermore, 1.5 g/kg synbiotic substantially increased blood glucose but decreased cholesterol (p<0.05). Serum total protein and uric acid also decreased in the all dietary levels of synbiotic compared to control group (p<0.05). Regarding these results, supplementation of 1 g/kg synbiotic appears to be effective on growth performance and serum biochemical parameters of ostrich chicks.
INDUSTRY-ACADEMIA COLLABORATION PUSHING THE BOUNDARIES OF CRYOGENIC TECHNIQUES GOOD VIBRATIONS NEAR ABSOLUTE ZERO

Experiments in cryostats at very low temperatures, for example as performed at Leiden University, have to be protected against vibrations arising from the cooling equipment. A multi-disciplinary team comprising Dutch research institutes, engineering agencies and external experts designed and realised a double-frame vibration isolation solution. A primary frame supporting the experiment is mechanically isolated from the outer, secondary, frame which supports the vibration-generating pulse tube refrigerator. As a result, the dominant vibrations are suppressed.
OVERVIEW OF FERTILITY CONTROL IN URBAN DEER MANAGEMENT

Overabundant white-tailed deer (Odocoileus virginianus) populations have become a significant problem in many areas of the United States. Problems associated with overabundant deer herds include adverse effects to ecological communities, economic losses from crop damage, damage to landscape plantings, damage to vehicles and injuries to humans from collisions between deer and vehicles, and concern over tick-borne diseases. Two publications present comprehensive overviews of the problems associated with deer overabundance and various programs that have been employed to manage these overabundant deer herds (McShea et al. 1997a, Warren 1997).
Managing Disaster and Crisis in Tourism : A Critique of Research and a fresh Research Agenda

The paper critically reviews the research available on crisis and disaster management strategies for tourist destinations as published in tourism and travel related journals adopting a narrative analysis approach. A total of 74 research papers published on the subject in widely recognized top tier tourism and management journals, between January 2000 and September 2018, have all been incorporated into this study. The studies covered the various type of natural disasters and other events like terrorist attacks, pandemics and political upheaval. The study found the key themes including media sensitization, destination reputation and image, effectiveness and speedy response to a disaster and the importance of relationship marketing/collaboration and communication strategies etc are all critical after crises and disasters occur. Abundant opportunities exist to further expand the theory in this study area through future research and the construction of a theoretical framework, greater empirical exploration, and further discussion of the findings. The current review highlights the types and number of studies conducted in the Crisis Disaster Management (CDM) field and the lack of research on various facets of crises, and also disaster or post-disaster recovery for tourism destinations. The review ascertains ways to improve the speed and effectiveness of responses to a disaster, the significance of relationship marketing with loyal repeat customers and the need to speedily repair a destinations image after an event of cataclysmic proportions. Suggestions for future research, developed from the present study, incorporate the pressing need to support tourism operators to engage with crisis preparedness and disaster-management strategies and the significance of gaining a better comprehension of the customer response to disastrous events.
Prevalence of Schistosoma Haematobium among Population Aged 1-25 Years Attending Rasheed Shekoni Specialist Hospital , Dutse , Jigawa State-Nigeria

A study on the prevalence of urinary Schistosoma was carried out among patients attending Rasheed Shakoni Specialist Hospital, Dutse, Jigawa State, Nigeria. A total of 120 urine samples were collected and examined in the microbiology laboratory of Federal University Dutse, Jigawa State to determine the prevalence of Schistosoma infections. The collected samples were subjected to physical and chemical analyses; samples were centrifuged and microscopic analysis was carried out on the sediment. The result of physical analysis carried out in the urine sample shows that the age group 16-20 and 21-25 has the highest number of positive cases as compared to other age groups each with 5(4.7%) positive samples. Chemical analysis carried out on the urine samples showed that the age group 21-25 years had the largest number of positive cases with 14(11.7%) positive samples as compared to other age groups. Results of the microscopic examination of the urine samples showed the age group of 11-15 years had the highest number of positive cases. Males were more infected than the females with 3.3% and 1.7% positive cases respectively. The infection rate varied according to age groups where 11-15 years age group had higher infection rate of 2.5%, followed by 16-20 and 21-25 years age groups with 1.7% and 0.8% respectively. From the results of this study, it was concluded that Schistosoma haematobium was less prevalent in the study area.