Miracle-dz/UniFAR-FTUs huggingface dataset:
Annurca Apple Nutraceutical Formulation Enhances Keratin Expression in a Human Model of Skin and Promotes Hair Growth and Tropism in a Randomized Clinical Trial

Abstract Several pharmaceutical products have been formulated over the past decades for the treatment of male and female alopecia, and pattern baldness, but relatively few metadata on their efficacy have been published. For these reasons, the pharmaceutical and medical attention has recently focused on the discovery of new and safer remedies. Particularly, great interest has been attracted by oligomeric procyanidin bioactivity, able to promote hair epithelial cell growth as well as to induce the anagen phase. Specifically, the procyanidin B2, a dimeric derivative extracted from apples, has demonstrated to be one of the most effective and safest natural compounds in promoting hair growth, both in vitro and in humans by topical applications. By evaluating the polyphenolic content of different apple varieties, we have recently found in the apple fruits of cv Annurca (AFA), native to Southern Italy, one of the highest contents of oligomeric procyanidins, and, specifically, of procyanidin B2. Thus, in the present work we explored the in vitro bioactivity of AFA polyphenolic extract as a nutraceutical formulation, named AppleMets (AMS), highlighting its effects on the cellular keratin expression in a human experimental model of adult skin. Successively, testing the effects of AMS on hair growth and tropism in healthy subjects, we observed significant results in terms of increased hair growth, density, and keratin content, already after 2 months. This study proves for the first time the impact of apple procyanidin B2 on keratin biosynthesis in vitro, and highlights its effect as a nutraceutical on human hair growth and tropism.
In Living Color: An Intercultural Approach to Pastoral Care and Counseling

Acknowledgements. Foreword. Preface. Part I: History, Theory and Practice 1. Introduction to Pastoral Care. 2. Historical Developments in Pastoral Care. 3. Models of Pastoral Care. 4. Pastoral Care: Functions and resources. Part II: Private Care and Public Struggle. 5. Counseling as Pastoral Care and Pastoral Counseling. 6. Liberation as Pastoral Praxis. 7. Spirituality in Pastoral Care. 8.Case Studies in Intercultural Pastoral Care. 9. Approaches to Pastoral Care in Pluralistic Settings. References. Index.
Distributed and dynamic self‐scheduling of parallel MPI Grid applications

The execution of distributed applications on the Grid is already a reality. However, as both the number of applications grow and Grids increase in scale, the efficient utilization of the available but shared heterogeneous resources will become increasingly essential to the Grid's successful maturity. Furthermore, it is unclear whether existing Grid management systems are capable of meeting this challenge. The EasyGrid middleware is a hierarchically distributed application management system (AMS) that is embedded into MPI applications to autonomously orchestrate their execution efficiently in computational Grids. The overhead of employing a distinct AMS to make each application system aware brings at least two benefits. First, the adopted policies can be tailored to the specific needs of each application, leading to improved performance. Second, distributing the management effort among executing applications makes Grid management more scalable. This article focuses on scheduling policies of an AMS for a particular class of application, describing a low intrusion implementation of a hybrid scheduling strategy designed to elicit good performance even in dynamic environments such as Grids. Using application‐specific scheduling policies, near‐optimal runtimes highlight the advantages of self‐scheduling when executing one or more system aware applications on a Grid. Copyright © 2006 John Wiley & Sons, Ltd.
Accident Analysis and Prevention

Experience-based analysis (EBA) refers to a set of safety-management practices consisting of detecting, analyzing, and correcting the individual, material, and organizational causal factors of accidents in order to prevent their reoccurrence. Unfortunately, these practices do not always garner the adherence of employees. This article presents a study that examines the impact of risk perceptions on agents’ motivation to participate in EBA in various production sectors. The study was conducted at two sites, a chemical factory and a nuclear power plant, by means of a questionnaire administered to 302 employees. The results indicated that the feeling of control was not only positively linked to the feeling of invulnerability, but that these two factors were negatively linked to risk perception. In addition, the actors in both production sectors were more motivated to participate in EBA of accidents linked to the core processes of their industry (which were more accurately perceived) than in EBA of ordinary accidents (accidents not specific to chemical or nuclear processes). Moreover, the agents’ feeling of invulnerability and feeling of control both reduced EBA motivation for ordinary accidents to a greater extent than for chemical and radiation-related accidents. Recommendations are made in view of encouraging agents to get more
Moderated estimation of fold change and dispersion for RNA-seq data

RNA turnover is a general process that maintains appropriate mRNA abundance at the post- 37 transcriptional level. Although long thought to be antagonistic to translation, discovery of the 38 5ʹ–3ʹ co-translational mRNA decay pathway demonstrated that both processes are 39 intertwined. Co-translational mRNA decay globally shapes the transcriptome in different 40 organisms and in response to stress; however, the dynamics of this process during plant 41 development is poorly understood. In this study, we used a multi-omics approach to reveal the 42 global landscape of co-translational mRNA decay during Arabidopsis thaliana seedling 43 development. We demonstrated that co-translational mRNA decay is regulated by 44 developmental cues. Using the exoribonuclease 4 (XRN4) loss-of-function mutant, we 45 showed that XRN4 polyA + -mRNA targets are largely subject to co-translational decay during 46 plant development. As co-translational mRNA decay is interconnected with translation, we 47 also assessed its role in translation efficiency. We discovered that clusters of transcripts were 48 specifically subjected to co-translational decay in a developmental-dependent manner to 49 modulate their translation efficiency. Our approach allowed determination of a co- 50 translational decay efficiency that could be an alternative to other methods to assess transcript 51 translation efficiency. Thus, our results demonstrate the prevalence of co-translational mRNA 52 decay in plant development and its role in translational control. 53
A PROSPECTIVE OBSERVATIONAL STUDY ON THE ASSESSMENT OF POTENTIAL DRUG-DRUG INTERACTIONS AND MANAGEMENT OF POST-COMPLICATIONS IN STROKE PATIENTS AT A TERTIARY CARE TEACHING HOSPITAL

Objective: The objective of the study is to determine the occurrence, frequency, and severity of significant drug-drug interactions in stroke patients, with an emphasis on post complications and their symptomatic management. Methods: A prospective observational study was carried out for 6 mo at Osmania General Hospital, a Tertiary Care Teaching Hospital. The prescriptions taken by stroke patients throughout their hospital stay were analyzed for possible interactions using-Micromedex-2 (Thomson Reuters) × 2.0. Results: A total of 130 prescriptions was analyzed in the study in which 141 drug-drug interactions were found with a male predominance of 85.4%. The majority of interactions were of moderate severity (74.46%) and pharmacokinetics (67.37%) in nature. Among the clinical consequences, decreased atorvastatin efficacy (49.10%) was found to be the highest. The class of drugs most commonly involved in drug-drug interactions was found to be anti-epileptics and statins. 60.15% of the study population were identified with one complication, among which seizures account for 15% of patients. All the complications allied with the condition were treated with drug classes in the study population. Conclusion: This study highlighted the exigency for screening prescriptions of cerebrovascular accident patients for potential drug-drug interactions (pDDIs). Brain edema and seizure were the most accountable complications identified in the study population. The early detection of these problems can improve stroke outcomes and can reduce the mortality or disability rate.
Identification and Analysis of Chromodomain-Containing Proteins Encoded in the Mouse Transcriptome

Khairina Tajul-Arifin, Rohan Teasdale, Timothy Ravasi, David A. Hume, RIKEN GER Group and GSL Members, and John S. Mattick ARC Special Research Centre for Functional and Applied Genomics, Institute for Molecular Bioscience, University of Queensland, St. Lucia, Queensland 4072, Australia; School of Molecular and Microbial Sciences, University of Queensland, St. Lucia, Queensland 4072, Australia; Laboratory for Genome Exploration Research Group, RIKEN Genomic Sciences Center (GSC), RIKEN Yokohama Institute, Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan; Genome Science Laboratory, RIKEN, Hirosawa, Wako, Saitama 351-0198, Japan
Linearity aspects of the ensemble of data assimilations technique

We examine the linearity of the Ensemble of Data Assimilations (EDA) technique with respect to the amplitude of the applied observation perturbations. We provide explicit examples to assess the linear relationship between such modifications of the observing system and the resulting changes in the EDA ensemble spread. The results demonstrate that, for a state‐of‐the‐art numerical weather prediction (NWP) system, such linearity between the applied observation perturbations and the EDA ensemble spread holds well for temporal and spatial regimes relevant to global medium‐range weather prediction: specifically, for forecast lead‐times of up to approximately 5 days, in the vertical throughout the troposphere up to the lower and middle stratosphere and for broad horizontal scales.
Matrix free methods for large scale optimization

Matrix Free Methods for Large Scale Optimization Jiashan Wang Chair of the Supervisory Committee: Professor James V. Burke Department of Mathematics Sequential quadratic optimization (SQP) methods are widely used to solve large-scale nonlinear optimization problems. We build two matrix-free methods for approximately solving exact penalty subproblems that arise when using SQP methods to solve large-scale optimization problems. The first approach is a novel iterative re-weighting algorithm. The second approach is based on alternating direction augmented Lagrangian technology applied to our setting. We prove that both algorithms are globally convergent under loose assumptions. SQP methods can be plagued by poor behavior of the global convergence mechanisms. Here we consider global convergence results that use an exact penalty function to compute stepsizes. To confront this issue, we propose a dynamic penalty parameter updating strategy to be employed within the subproblem solver in such a way that the resulting search direction predicts progress toward both feasibility and optimality. We prove that does not decrease the penalty parameter unnecessarily in the neighborhood of points satisfying certain common assumptions. We also discuss a coordinate descent subproblem solver in which our updating strategy can be readily incorporated. In the final application of the thesis, we consider a block coordinate descent (BCD) method applied to graphical model learning with special structures, in particular, hub structure and latent variable selection. We tackle the issue of maintaining the positive definiteness of covariance matrices for general rank 2 updates. An active set strategy is employed to speed up BCD for hub structure problem. For latent variable selection problems, we propose a method for maintaining a low rank factorization for the covariance matrix while preserving the convexity of the subproblems for SBCD. We show that our proposed method converges to a stationary point of a non-convex formulation. Extensive numerical experiments are discussed for both models.
Contribution of Jahn-Teller and charge transfer excitations to the photovoltaic effect of manganite/titanite heterojunctions

The effect of correlation effects on photovoltaic energy conversion at manganite/titanite heterojunctions is investigated. As a model system we choose a heterostructure consisting of the small polaron absorber Pr0.66Ca0. 34MnO3 (PCMO) epitaxially grown on single-crystalline Nb-doped SrTi0.998Nb0. 002O3 (STNO) substrates. The high structural and chemical quality of the interfaces is proved by detailed characterization using high-resolution transmission electron microscopy (TEM) and electron energy loss spectroscopy (EELS) studies. Spectrally resolved and temperature-dependent photovoltaic measurements show pronounced contributions of both the Jahn-Teller (JT) excitations and the charge transfer (CT) transitions to the photovoltaic effect at different photon energies. A linear temperature dependence of the open-circuit voltage for an excitation in the PCMO manganite is only observed below the charge-ordering temperature, indicating that the diffusion length of the photocarrier exceeds the size of the space charge region. The photovoltaic response is compared to that of a heterojunction of lightly doped Pr0.05Ca0. 95MnO3 (CMO)/STNO, where the JT transition is absent. Here, significant contributions of the CT transition to the photovoltaic effect set in below the Neel temperature. We conclude that polaronic correlations and ordering effects are essentials for photovoltaic energy conversion in manganites.
Lattice considerations for the use of an X-band transverse deflecting structure (TDS) at SINBAD, DESY

An X-band TDS is a well-known device for the characterization of the longitudinal properties of an electron bunch in a linear accelerator. It is planned that a novel X-band TDS with variable polarization will be installed within the next few years at SINBAD, an upcoming accelerator R&D facility at DESY. There are several measurements that can be performed with the TDS, each with specific optics requirements to reach the highest possible resolution and keep induced energy spread to a tolerable level. Quadrupoles will be installed between the TDS and the screen to help satisfy these conditions. In this paper, the requirements for the bunch length measurements, a novel 3D charge density reconstruction technique and slice energy measurements are discussed and some simulation results for the slice energy measurement using example lattices are presented.
Models for dark matter and neutrino masses

"This thesis includes the study of novel models that account for neutrino masses and mixing and provide a viable candidate for the DM in the Universe. For the electroweak extension of the SM based on the SU(3)C (producto tensor) SU(4)L (producto tensor) U(1)X gauge group, several mechanisms for the neutrino mass generation through the tree-level realization of a dimension five Weinberg-like operator are proposed. For the so called model F, a three-family model, is found that the mixing matrix and mass hierarchy for the lightest neutrinos (the SM ones) and the exotic neutrinos (the heavy ones) turns out to be the same. For the radiative type III seesaw model - a kind of scotogenic model - a collider study carried out in a simplify scenario, with scalar dark matter. Limits on the fermion triplet masses are set as a function of the flavor. "
Parameter Constraints on Homomorphic Encryption Over the Integers

The research paper Fully Homomorphic Encryption over the Integers by van Dijk, Gentry, Halevi, and Vaikuntanathan [31] explores the construction of an encryption scheme over the integers that is fully homomorphic, using modular arithmetic. The plaintext messages in this encryption are single bits and the ciphertexts are large integers. The homomorphic property means that the algebraic operations on the plaintexts can be carried out analogously on the ciphertexts. We analyze in detail the parameter constraints required to make the scheme functional and secure, prove auxiliary results about noise accumulation, and generate a toy example to concretely illustrate parts of the scheme.
Electronic, elastic, lattice dynamic and thermal conductivity properties of Na3OBr via first principles

Na3OBr is expected to be a promising superionic conductor for use as solid state electrolyte in large scale energy storage systems, but its lattice dynamic and thermal conductivity properties have not been well studied till now. In this work, we performed a detailed study on these properties as well as its electronic and elastic properties using first principles method. The results indicate that Na3OBr is a direct band gap crystal. It is mechanically stable but elastically anisotropic. Its phonons at the Brillouin zone center were classified using group theory analysis and its Born effective charges, LO–TO splitting, and dielectric constants were calculated and discussed. Its phonon dispersion curves were obtained and their origins were revealed. Based on the phonon dispersion curves, its thermal conductivity as a function of temperature was predicted, which give a value of 7.30 Wm−1 K−1 at 300 K. Further study reveals that, for Na3OBr, the simple Slack's model can give almost the same thermal conductivity curve as that obtained from the phonon dispersion curves.
Semantic microaggregation for the anonymization of query logs using the open directory project

Web search engines gather information from the queries performed by the user in the form of query logs. These logs are extremely useful for research, marketing, or proﬁling, but at the same time they are a great threat to the user’s privacy. We provide a novel approach to anonymize query logs so they ensure user k -anonymity, by extending a common method used in statistical disclosure control: microaggregation. Furthermore, our microaggregation approach takes into account the semantics of the queries by relying on the Open Directory Project. We have tested our proposal with real data from AOL query logs.
Implementasi Algoritma Cosine Similarity Dan Metode TF-IDF Berbasis PHP Untuk Menghasilkan Rekomendasi Seminar

Sistem rekomendasi bertujuan membantu user untuk mengidentifikasi produk yang sesuai dengan kebutuhan, kesenangan, dan keinginan user. Sistem rekomendasi akan membimbing user untuk menemukan produk yang relevan dan berguna dari banyaknya produk yang tersedia. Tujuan dalam penelitian ini adalah bagaimana membangun sistem rekomendasi suatu seminar dengan memanfaatkan pendekatan melalui teks judul dan deskripsi seminar dengan Metode TF-IDF untuk memberikan bobot frekuensi hubungan pada kemunculan suatu kata( term ) di dalam perhitungan penggabungan judul dan deskripsi seminar. Dan algoritma Cosine Similarity digunakan sebagai metode perbandingan dalam mengetahui seberapa besar kemiripan antara ke dua seminar. Menggunakan data dummy sebagai data latih yang digunakan dalam penelitian ini, berjumlah 100 seminar yang sudah terlaksana dengan beberapa kategori bidang ilmu, fakultas dan universitas yang berbeda. Dan untuk implementasinya menggunakan bahasa pemrograman PHP, dan dengan bantuan data resouce penggunaan text mining yang sudah berbahasa PHP yang berguna untuk tahap text preprocesing , dan kemudian akan dilanjutkan dengan proses implementasi Motode TF-IDF dan Algortima Cosine Similarity. Kata Kunci : Cosine Similarity, TF-IDF, Sistem Rekomendasi, Website Seminar.
Applications of the Wormlike Chain Model in Polymer Physics: Self-consistent Field Theory

The self-consistent field theory (SCFT) has reveived a great success in prediction of the physical properties of a variety of polymeric systems in the recent two decades. However, the traditional SCFT is based on the Gaussian chain model, completely neglecting the chain rigidity effects, which is ascribed to one of the intrinsic properties of polymer chains. This thesis concentrates on the development of SCFT in the framework of the wormlike chain model and studies the influence of the chain rigidity on the chain configuration which directly determines properties of polymer materials in the mesoscale. Firstly, considering Onsager-type, orientational-dependent repulsive interactions, we study a model for the isotropicnematic interface in liquid-crystals. Through adjusting the ratio of total contour length L to the persistence length λ, we consider systems consisting of molecules with various degrees of flexibility: from rods to flexible chains. Physical properties such as the surface tension, interfacial width and densityand order-parameter profiles were numerically calculated as functions of the flexibility L/λ and tilt angle, which is defined as the angle between the interfacial normal and the nematic director. Secondly, We examine the influence of persistency on the phase diagram of AB diblock copolymers and the properties of the phase transition as a function of volume fraction, Flory-Huggins parameter and chain rigidity, covering a broad regime spanning from Gaussian chains to rigid rodlike chains. On one hand, we demonstrate that results from a Gaussian-weight based theory can be recovered in the long-chain limit, and on the other hand, we display that significant revisions to the phase diagram, due to the persistency effects, exist for shorter chains. To achieve this, an efficient numerical scheme is designed for implementing the calculations of the wormlike-chain SCFT in a full six-dimensional space.
Impact of electron-scale turbulence and multi-scale interactions in the JET tokamak

Experimental observations in JET tokamak plasmas and gyrokinetic simulations point to an important role, for electron heat transport, of electron-scale instabilities and of their interaction with ion-scale instabilities. Since these effects are maximized for strong electron heating and ion-scale modes close to marginal stability, these findings are of high relevance for ITER plasmas, featuring both conditions. Gyrokinetic and quasi-linear transport models accounting for multi-scale effects are assessed against JET experimental results.
Migrants as Second-Class Workers in Urban China? A Decomposition Analysis

In urban China, urban resident annual earnings are 1.3 times larger than long term rural migrant earnings as observed in a nationally representative sample in 2002. Using microsimulation, we decompose this difference into four sources, with particular attention to path dependence and statistical distribution of the estimated effects: (1) different allocation to sectors that pay different wages (sectoral effect); (2) hourly wage disparities across the two populations within sectors (wage effect); (3) different working times within sectors (hours effect); (4) different population structures (population effect). Although sector allocation is extremely contrasted, with very few migrants in the public sector and very few urban residents working as self-employed, the sectoral effect is not robust to the path followed for the decomposition. We show that the migrant population has a comparative advantage in the private sector: increasing its participation into the public sector does not necessarily improve its average earnings. The opposite holds for the urban residents. The second main finding is that population effect is significantly more important than wage or hours effects. This implies that the main source of disparity is pre-market (education opportunities) rather than on-market.