Miracle-dz/UniFAR-FTUs huggingface dataset:
Can the office environment stimulate a manager's creativity?

This article explores whether the manager's physical office work environment can stimulate the manager's creativity. A total of 60 managers from a large manufacturing company participated in the study. They rated the creativity potential and physical elements of office environments shown in 25 photographs. The results indicate that offices differ in terms of creativity potential. Compared to offices with low creativity potential, offices with high creativity potential have lower complexity, more plants, bright lighting conditions, windows, cooler colors, and a computer facility. The results suggest that a good interior design of manager's office environment could stimulate a manager's creativity and could therefore contribute to an organization's innovation. © 2008 Wiley Periodicals, Inc.
Evaluation of SparseCT on patient data using realistic undersampling models

Compressed sensing (CS) requires undersampled projection data, but CT x-ray tubes cannot be pulsed quickly enough to achieve reduced-view undersampling. We propose an alternative within-view undersampling strategy, named SparseCT, as a practical CS technique to reduce CT radiation dose. SparseCT uses a multi-slit collimator (MSC) to interrupt the x-ray beam, thus acquiring undersampled projection data directly. This study evaluated the feasibility of SparseCT via simulations using a standardized patient dataset. Because the projection data in the dataset are fully sampled, we retrospectively undersample the projection data to simulate SparseCT acquisitions in three steps. First, two photon distributions were simulated, representing the cases with and without the MSC. Second, by comparing the two distributions, detector regions with more than 80% of x-ray blocked by the MSC were identified and the corresponding projection data were not used. Third, noise was inserted into the rest of the projection data to account for the increase in quantum noise due to reduced flux (partial MSC blockage). The undersampled projection data were then reconstructed iteratively using a penalized weighted least squares cost function with the conjugate gradient algorithm. The image reconstruction problem promotes sparsity in the solution and incorporates the undersampling model. Weighting factors were applied to the projection data during the reconstruction to account for the noise variation in the undersampled projection. Compared to images acquired with reduced tube current (provided in the standardized patient dataset), SparseCT undersampling presented less image noise while preserving pathologies and fine structures such as vessels in the reconstructed images.
Report on the fourth Japanese‐German workshop on molecular and cellular aspects of carcinogenesis

The focus of this Workshop was on genes, proteins and molecular mechanisms involved in different pathways of repair of various forms of DNA damage, on the relevance of DNA repair for carcinogenesis and cancer therapy, and on some aspects of the molecular epidemiology of DNA damage and mutational spectra. A keynote lecture on “DNA repair: its origins and its importance in carcinogenesis, cancer therapy and environmental risk assessment” was presented by Dr. R.B. Setlow. Dr. T. Kuroki (Tokyo) discussed the regulation of proliferation and differentiation in epithelial cells from which about 90% of human cancers arise. A 3-dimensional organotypic culture system was established for normal human keratinocytes and the expression of differentiation-associated genes in vitro was demonstrated. It was found that nPKCq, a Ca2+-independent isoform of protein kinase C (PKC), is predominantly expressed in epithelial cells, in close association with epithelial differentiation. Two other PKC isoforms. cPKCa and nPKCS, are also expressed in epithelial tissue, but no cPKCy was detected. Different isoforms of PKC may thus be involved in the control of epithelial proliferation and differentiation. Lastly, epidermal keratinocytes-the target cells in UV-induced carcinogenesis-were shown to be defective in UV-induced unscheduled DNA synthesis (UDS) in Xeroderma pigmentosum (XP) patients, as measured in keratinocytes grown in culture from small skin-biopsy specimens. Dependent on complementation groups, the extent of UDS reduction is similar in the dermal counterpart cells, with the exception of XP variant keratinocytes which, unlike fibroblasts, exhibit the UDS defect to some degree. Dr. F. Hunaoku (Saitama) successfully purified the XP-C DNA repair protein from HeLa cells by complementation of cell extracts from
Role of 1 -Pyrroline-5-Carboxylate Dehydrogenase Supports Mitochondrial Metabolism and Host-Cell Invasion of

Citation for published item: Mantilla, Brian S. and Paes, Lisvane S. and Pral, Elizabeth M. F. and Martil, Daiana E. and Thiemann, Otavio H. and Fern andez-Silva, Patricio and Bastos, Erick L. and Silber, Ariel M. (2015) 'Role of 1-pyrroline-5-carboxylate dehydrogenase supports mitochondrial metabolism and host-cell invasion of trypanosoma cruzi. ', Journal of biological chemistry. , 290 (12). pp. 7767-7790.
Exploiting Privacy Policy Conflicts in Online Social Networks (CMU-CyLab-12-005)

Online Social Networks (OSNs) offer access control mechanisms to protect users’ sensitive information from undesired accesses. Yet, their information is still vulnerable to disclosure when their friends assign conflicting privacy policies: a user prohibits everyone from accessing his own content or profile but his friends allow others to see it. OSNs tend to select Permit-Take-Precedence when resolving multiple conflicting policies so that the information is possibly exposed regardless of the information owner’s preference. In this paper, we confirm that specific types of information in real OSN services are under this circumstance. We then propose three attacking scenarios that reveal the hidden friend-lists, profiles, and posted messages on users’ OSN accounts, exploiting a target’s sensitive information. We finally discuss possible countermeasures in terms of both implementation and human behavior.
Genomic Instability of Pluripotent Stem Cells: Origin and Consequences

Maintenance of genomic stability is crucial in ensuring cellular homeostasis and perpetuation of life. Perpetuation of the genetic information relies upon faithful replication of the genome. Mutations, generated during DNA synthesis and/or cell division and induced by exposure to external chemical agents, are drivers of genetic and associated genomic instability believed to fuel malignant transformation. Curious‐ ly, pluripotent stem cells (PSCs) are characterized by a high degree of genomic instability of unknown origin, which resembles that observed in cancer cells. This peculiar feature of PSCs raises the questions of the reasons responsible for this apparent aberrant regulation and of how genome integrity is kept under control. Genomic instability of PSCs also raises important concerns about their use in regenerative medicine, which sets severe limitations in clinical applications. The aim of this chapter is to review current knowledge about the molecular grounds of genomic instability of PSCs of diverse origin, such as embryonic (ESCs), induced pluripotent (iPSCs), and adult (ASCs) stem cells. We will also review how these features undermine the use of PSCs in clinical applications and discuss new emerging perspectives aimed at reducing genomic instability so to improve their use in clinical applications.
Differential Regulation of the Expression of Two High-Affinity Sulfate Transporters, SULTR1.1 and SULTR1.2, in Arabidopsis1[W][OA]

The molecular mechanisms regulating the initial uptake of inorganic sulfate in plants are still largely unknown. The current model for the regulation of sulfate uptake and assimilation attributes positive and negative regulatory roles to O-acetyl-serine (O-acetyl-Ser) and glutathione, respectively. This model seems to suffer from exceptions and it has not yet been clearly validated whether intracellular O-acetyl-Ser and glutathione levels have impacts on regulation. The transcript level of the two high-affinity sulfate transporters SULTR1.1 and SULTR1.2 responsible for sulfate uptake from the soil solution was compared to the intracellular contents of O-acetyl-Ser, glutathione, and sulfate in roots of plants submitted to a wide diversity of experimental conditions. SULTR1.1 and SULTR1.2 were differentially expressed and neither of the genes was regulated in accordance with the current model. The SULTR1.1 transcript level was mainly altered in response to the sulfur-related treatments. Split-root experiments show that the expression of SULTR1.1 is locally regulated in response to sulfate starvation. In contrast, accumulation of SULTR1.2 transcripts appeared to be mainly related to metabolic demand and is controlled by photoperiod. On the basis of the new molecular insights provided in this study, we suggest that the expression of the two transporters depends on different regulatory networks. We hypothesize that interplay between SULTR1.1 and SULTR1.2 transporters could be an important mechanism to regulate sulfate content in the roots.
Robust output control of systems subjected to perturbations via high-order sliding modes observation and identification

The control of linear systems subjected to perturbations by means of high-order sliding modes observation and identification techniques is presented. First, the regulation control of a system affected by matched perturbations is addressed. Later on, the method is extended to deal with systems affected by matched and unmatched perturbations. The performance of the proposed controllers is estimated in terms of the deterministic noise upper bounds, sampling time and execution time. The feasibility of the approach is shown by means of experiments and numerical simulations.
Anomaly Detection in Large Labeled Multi-Graph Databases

Within a large database G containing graphs with labeled nodes and directed, multi-edges; how can we detect the anomalous graphs? Most existing work are designed for plain (unlabeled) and/or simple (unweighted) graphs. We introduce CODETECT, the first approach that addresses the anomaly detection task for graph databases with such complex nature. To this end, it identifies a small representative set S of structural patterns (i.e., node-labeled network motifs) that losslessly compress database G as concisely as possible. Graphs that do not compress well are flagged as anomalous. CODETECT exhibits two novel building blocks: (i) a motif-based lossless graph encoding scheme, and (ii) fast memory-efficient search algorithms for S. We show the effectiveness of CODETECT on transaction graph databases from three different corporations, where existing baselines adjusted for the task fall behind significantly, across different types of anomalies and performance metrics.
Detecting Potential Adverse Reactions of Sulpiride in Schizophrenic Patients by Prescription Sequence Symmetry Analysis

Purpose Previous studies have demonstrated sulpiride to be significantly more effective than haloperidol, risperidone and olanzapine in schizophrenic treatment; however, only limited information is available on the potential risks associated with sulpiride treatment. This study attempts to provide information on the potential risks of sulpiride treatment of schizophrenia, especially with regard to unexpected adverse effects. Materials and Methods Patients with schizophrenia aged 18 and older, newly prescribed with a single antipsychotic medication from the National Health Insurance Research Database of Taiwan in the period from 2003 to 2010 were included. A within-subject comparison method, prescription sequence symmetry analysis (PSSA) was employed to efficiently identify potential causal relationships while controlling for potential selection bias. Results A total of 5,750 patients, with a mean age of 39, approximately half of whom were male, constituted the study cohort. The PSSA found that sulpiride was associated with EPS (adjusted SR, 1.73; 95% CI, 1.46–2.06) and hyperprolactinemia (12.04; 1.59–91.2). In comparison, EPS caused by haloperidol has a magnitude of 1.99 when analyzed with PSSA, and hyperprolactinemia caused by amisulpride has a magnitude of 8.05, respectively. Another finding was the unexpected increase in the use of stomatological corticosteroids, emollient laxatives, dermatological preparations of corticosteroids, quinolone antibacterials, and topical products for joint and muscular pain, after initiation of sulpiride treatment. Conclusions We found sulpiride to be associated with an increased risk of EPS and hyperprolactinemia, and the potential risk could be as high as that induced by haloperidol and amisulpride, respectively. Additionally, our study provides grounds for future investigations into the associations between sulpiride and the increased use of additional drugs for managing adverse effects, including stomatological, dermatological, and musculoskeletal or joint side effects, constipation, and pneumonia.
Overleaf Example

In recent years, Deep Reinforcement Learning (DRL) has emerged as a promising method for robot collision avoidance. However, such DRL models often come with limitations, such as adapting effectively to structured environments containing various pedestrians. In order to solve this difficulty, previous research has attempted a few approaches, including training an end-to-end solution by integrating a waypoint planner with DRL and developing a multimodal solution to mitigate the drawbacks of the DRL model. However, these approaches have encountered several issues, including slow training times, scalability challenges, and poor coordination among different models. To address these challenges, this paper introduces a novel approach called evolutionary curriculum training to tackle these challenges. The primary goal of evolutionary curriculum training is to evaluate the collision avoidance model’s competency in various scenarios and create curricula to enhance its insufficient skills. The paper introduces an innovative evaluation technique to assess the DRL model’s performance in navigating structured maps and avoiding dynamic obstacles. Additionally, an evolutionary training environment generates all the curriculum to improve the DRL model’s inadequate skills tested in the previous evaluation. We benchmark the performance of our model across five structured environments to validate the hypothesis that this evolutionary training environment leads to a higher success rate and a lower average number of collisions. Further details and results at our project website.
Determination of Mushroom Consumption Preferences by Using Fuzzy Analytic Hierarchy Process

Mantarlar, lezzetli, diyetetik ve protein kaynagi olarak bilinen ve tuketilen besinlerdir. Dunya nufusunun hizla cogalmasinin yaninda, insanlarin alternatif tipa egilimlerinin de artmasiyla birlikte tibbi/faydali ozelliklerinin bilimsel calismalarla ortaya konan mantarlarin tuketim miktarlari daha da artmistir. Her tuketim davranisinda oldugu gibi mantar tuketimi de birtakim tercihler sonucu olusur. Bu calismanin amaci bulanik analitik hiyerarsi prosesi kullanarak mantar tuketim tercihlerinin belirlenmesidir. Oncelikle mantar secimi tercihlerinin ve alt kriterlerinin oldugu analitik hiyerarsi prosesi olusturmustur. Olusturulan AHP karsilastirmali matrisler haline getirilmis ve uzman kisilere cevaplatilirmistir. Alinan cevaplar bulanik sayilara donusturulerek tercihlerin onem duzeyleri, hesaplanan agirliklarina gore siralanmistir.
Overcoming impediments to virtual team effectiveness

The term virtual team denotes an organizational team whose members rarely meet face to face but who nevertheless perform interdependent tasks in pursuit of collective goals. This article identifies the unique aspects of virtual teams that generate major barriers to their effectiveness, and suggests ways in which these may be either overcome or mitigated. A process‐oriented model of virtual team effectiveness is presented, identifying issues associated with the development of transactive memory systems, work engagement, and collective efficacy as major challenges to virtual team effectiveness. These issues are illustrated with reference to the experience of virtual teams within a minerals processing firm. Finally, the authors discuss aspects of virtual team leadership and team climate that may help overcome some of the potential process losses associated with virtual teamwork. © 2008 Wiley Periodicals, Inc.
Two-sample nonparametric stochastic order inference with an application in plant physiology

ABSTRACT In this paper, a new nonparametric methodology is developed for testing whether the changing pattern of a response variable over multiple ordered sub-populations from one treatment group differs with the one from another treatment group. The question is formalized into a nonparametric two-sample comparison problem for the stochastic order among subsamples, through U-statistics with accommodations for zero-inflated distributions. A novel bootstrap procedure is proposed to obtain the critical values with given type I error. Following the procedure, bootstrapped p-values are obtained through simulated samples. It is proven that the distribution of the test statistics is independent from the underlying distributions of the subsamples, when certain sufficient statistics provided. Furthermore, this study also develops a feasible framework for power studies to determine sample sizes, which is necessary in real-world applications. Simulation results suggest that the test is consistent. The methodology is illustrated using a biological experiment with a split-plot design, and significant differences in changing patterns of seed weight between treatments are found with relative small subsample sizes.
Few-shot Controllable Style Transfer for Low-Resource Multilinugal Settings

Style transfer is the task of rewriting an in-001 put sentence into a target style while approx-002 imately preserving its content. While most 003 prior literature assumes access to large style-004 labelled corpora, recent work (Riley et al., 005 2021) has attempted “few-shot” style transfer 006 using only 3-10 sentences at inference for ex-007 tracting the target style. In this work we study 008 a relevant low-resource setting: style trans-009 fer for languages where no style-labelled cor-010 pora are available. We ﬁnd that existing few-011 shot methods perform this task poorly, with a 012 strong tendency to copy inputs verbatim . 013 We push the state-of-the-art for few-shot 014 style transfer with a new method modeling 015 the stylistic difference between paraphrases. 016 When compared to prior work using automatic 017 and human evaluations, our model achieves 018 2-3x better performance and output diversity 019 in formality transfer and code-mixing addi-020 tion across seven languages. Moreover, our 021 method is better able to control the amount 022 of style transfer using an input scalar knob. 023 We report promising qualitative results for sev-024 eral attribute transfer directions, including sen-025 timent transfer, text simpliﬁcation, gender neu-026 tralization and text anonymization, all without 027 retraining the model . Finally we found model 028 evaluation to be difﬁcult due to the lack of 029 evaluation datasets and metrics for many lan-030 guages. To facilitate further research in for-031 mality transfer for Indic languages, we crowd-032 source annotations for 4000 sentence pairs in 033 four languages, and use this dataset 1 to design 034 our automatic evaluation suite. 035
Identifying Ultra Low Frequency Waves in the Lunar Plasma Environment Using Trajectory Analysis and Resonance Conditions

Recent studies show that localized crustal magnetic fields on the lunar surface can reflect a significant portion of the incoming solar wind protons. These reflected ions can drive a wide range of plasma waves. It is difficult to determine the intrinsic properties of low‐frequency waves with single‐spacecraft observations, which can be heavily Doppler shifted. We describe a technique to combine trajectory analysis of reflected protons with the Doppler shift and resonance conditions to identify ultralow‐frequency waves at the Moon. On 31 January 2014 plasma waves were detected by one of the Acceleration, Reconnection, Turbulence and Electrodynamics of the Moon's Interaction with the Sun (ARTEMIS) probes as it approached the lunar wake; these waves were not detected by the second ARTEMIS probe located upstream in the undisturbed solar wind. The observed waves had a frequency below the local ion cyclotron frequency and had right‐hand circular polarization in the reference frame of the Moon. By solving the Doppler shift and the cyclotron resonance equations, we determined the conditions for reflected ions to excite the observed waves. Simulated trajectories of reflected ions correspond to ARTEMIS ion observations and support the hypothesis that reflected ions are the primary driver of the waves. By combining trajectory analysis with the resonance conditions, we identify scenarios where ions that satisfy the resonance conditions are present in the right location to generate the observed waves. Using this method, we can uniquely identify the observed waves as upstream propagating right‐hand polarized waves, subject to the assumption that they are generated by cyclotron resonance with ions.
Gravity and non-locality

With the aim of investigating the relation between gravity and non-locality at the classical level, we study a bilocal scalar field model. Bilocality introduces new (internal) degrees of freedom that seem to reproduce gravity. We show that the equations of motion of the massless branch of the free bilocal model match those of linearized gravity. We also discuss higher orders of perturbation theory, where there is self-interaction in both gravity and the bilocal field sectors.
Effects of transverse normal strain on bending of laminated composite beams

Effect of transverse normal strain on bending of laminated composite beams is proposed in this paper. A Quasi-3D beam theory which accounts for a higher-order variation of both axial and transverse displacements is used to consider the effects of both transverse shear and normal strains on bending behaviours of laminated composite beams. Ritz method is used to solve characteristic equations in which trigonometric shape functions are proposed. Numerical results for different boundary conditions are presented to compare with those from earlier works, and to investigate the effects of thickness stretching, fibre angles, span-to-height ratio and material anisotropy on the displacement and stresses of laminated composite beams.
Force on an Electric Current Flowing Through the Inner Area of a Long Uniformly Cylindrical Shell Current

It is generally considered that an electric current does not experience any force when it flows through any area where the magnetic field is zero and any places having zero magnetic fields are identical in magnetism. However, if Newton’s third law works, an electric current must feel a pressure or expansibility when it flowing through the inside area of a uniformly cylindrical shell current, where the magnetic field is zero. Concerning the pressure or expansibility on an electric current, the zero magnetic field area inside a long uniformly cylindrical shell current is not identical in magnetism with the absolute zero magnetic field which is far away from any magnetic sources.