Miracle-dz/UniFAR-FTUs huggingface dataset:
The efficacy and safety of omalizumab in refractory chronic spontaneous urticaria: real-life experience in Turkey.

INTRODUCTION This study used real-world data to evaluate the effectiveness and reliability of omalizumab in treating recalcitrant chronic spontaneous urticaria in Turkish patients. METHODS Study data were collected retrospectively from eight tertiary-care hospitals in Turkey. This study included 132 patients with chronic spontaneous urticaria that were resistant to H1 antihistamine treatment in a dose up to four times the licensed dose and were treated with 300 mg/month of omalizumab for 6 months. RESULTS The mean weekly urticarial activity score (UAS7) after omalizumab treatment improved significantly compared to the pre-treatment score (p < 0.001). Treatment response was detected primarily in the 1st and 2nd months after treatment. No significant association was observed between omalizumab's treatment effectiveness and disease-related parameters or laboratory data. The mean dermatology life quality index was 23.12 ± 6.15 before treatment and decreased to 3.55 ± 3.60 6 months after treatment (p < 0.001). No side effects were reported in 89.4% (118) of the patients. CONCLUSIONS This study showed that UAS7 decreased significantly and quality of life improved in omalizumab-treated patients. Moreover, treatment effectiveness was mainly observed in the first 2 months after treatment. However, no association was observed between omalizumab treatment effectiveness and disease-related parameters or laboratory data.
Speech Recognition in Noise for Adults With Normal Hearing: Age-Normative Performance for AzBio, BKB-SIN, and QuickSIN.

OBJECTIVE Characterize performance for adults aged 20 to 79 years with normal hearing on tasks of AzBio, Bamford-Kowal-Bench speech-in-noise (BKB-SIN), quick speech-in-noise (QuickSIN), and acoustic Quick Spectral Modulation Detection (QSMD) in the sound field. SETTING Cochlear implant (CI) program. PATIENTS Eighty-one adults with normal hearing and cognitive function were recruited evenly across four age groups (20-49, 50-59, 60-69, and 70-79 yr). INTERVENTIONS Subjects completed AzBio sentence recognition testing in quiet and in five signal-to-noise ratios (SNRs: +10, +5, 0, -5, -10 dB), as well as the BKB-SIN, QuickSIN, and QSMD tasks. MAIN OUTCOME MEASURES AzBio, BKB-SIN, QuickSIN, and acoustic QSMD scores were analyzed to characterize typical sound field performance in an older adult population with normal hearing. RESULTS AzBio sentence recognition performance approached ceiling for sentences presented at ≥ 0 dB SNR with mean scores ranging from 3.5% at -10 dB SNR to 99% at +10 dB SNR. Mean QuickSIN SNR-50 was -0.02. Mean BKB-SIN SNR-50 was -1.31 dB. Mean acoustic QSMD score was 88%. Performance for all measures decreased with age. CONCLUSION Adults with age-normative hearing achieve ceiling-level performance for AzBio sentence recognition at SNRs used for clinical cochlear implant and/or hearing aid testing. Thus, these tasks are not inherently contraindicated for older listeners. Older adults with normal hearing, however, demonstrated greater deficits for speech in noise compared to younger listeners-an effect most pronounced at negative SNRs. Lastly, BKB-SIN data obtained in the sound field replicated previous normative data for only the youngest age group, suggesting that new norms should be considered for older populations.
Isotope discrimination by form IC RubisCO from Ralstonia eutropha and Rhodobacter sphaeroides, metabolically versatile members of ‘Proteobacteria’ from aquatic and soil habitats

RubisCO, the CO2 fixing enzyme of the Calvin-Benson-Bassham (CBB) cycle, is responsible for the majority of carbon fixation on Earth. RubisCO fixes 12 CO2 faster than 13 CO2 resulting in 13 C-depleted biomass, enabling the use of δ13 C values to trace CBB activity in contemporary and ancient environments. Enzymatic fractionation is expressed as an ε value, and is routinely used in modelling, for example, the global carbon cycle and climate change, and for interpreting trophic interactions. Although values for spinach RubisCO (ε = ~29‰) have routinely been used in such efforts, there are five different forms of RubisCO utilized by diverse photolithoautotrophs and chemolithoautotrophs and ε values, now known for four forms (IA, B, D and II), vary substantially with ε = 11‰ to 27‰. Given the importance of ε values in δ13 C evaluation, we measured enzymatic fractionation of the fifth form, form IC RubisCO, which is found widely in aquatic and terrestrial environments. Values were determined for two model organisms, the 'Proteobacteria' Ralstonia eutropha (ε = 19.0‰) and Rhodobacter sphaeroides (ε = 22.4‰). It is apparent from these measurements that all RubisCO forms measured to date discriminate less than commonly assumed based on spinach, and that enzyme ε values must be considered when interpreting and modelling variability of δ13 C values in nature.
Risks of Results Oriented Leadership: A Perspective in Need of a Re-evaluation

NHRD Network Journal October 2017 | 12 Dr Kamal K Jain is currently professor in the Area of OB & HR and Dean (Academic) at IIM Indore. He joined IIM Indore in September 2007. Prior to joining IIM Indore, he worked as Professor of Strategic Management/HR with University Tun Abdul Razak (UNITAR), Malaysia. Besides teaching at IIM Indore, he has taught at National Institute of Financial Management Faridabad, IIM Ranchi, Helsinki School of Business Finland, and several other places.
Advancing the Pharmaceutical Potential of Bioinorganic Hybrid Lipid‐Based Assemblies

Bioinspired lipid assemblies that mimic the elaborate architecture of natural membranes have fascinated researchers for a long time. These lipid assemblies have gone from being just an imperative platform for biophysical research to a pharmaceutical delivery system for biomedical applications. Despite success, these organized nanosystems are often subject to the mechanical instability and limited theranostic capability without adding any inconvenient modifications. To reach their advanced pharmaceutical potential, various bioinorganic hybrid lipid‐based assembles, which provide new opportunities to synergistically complement and improve therapeutic/diagnostic potential of existing lipid‐based nanomedicine with distinct mechanisms containing inorganic embedded surfactants, have recently been developed.
The effect of habitat fragmentation on the bee visitor assemblages of three Australian tropical rainforest tree species

Abstract Tropical forest loss and fragmentation can change bee community dynamics and potentially interrupt plant–pollinator relationships. While bee community responses to forest fragmentation have been investigated in a number of tropical regions, no studies have focused on this topic in Australia. In this study, we examine taxonomic and functional diversity of bees visiting flowers of three tree species across small and large rainforest fragments in Australian tropical landscapes. We found lower taxonomic diversity of bees visiting flowers of trees in small rainforest fragments compared with large forest fragments and show that bee species in small fragments were subsets of species in larger fragments. Bees visiting trees in small fragments also had higher mean body sizes than those in larger fragments, suggesting that small‐sized bees may be less likely to persist in small fragments. Lastly, we found reductions in the abundance of eusocial stingless bees visiting flowers in small fragments compared to large fragments. These results suggest that pollinator visits to native trees living in small tropical forest remnants may be reduced, which may in turn impact on a range of processes, potentially including forest regeneration and diversity maintenance in small forest remnants in Australian tropical countryside landscapes.
An Evaluation of Bayesian Methods for Bathymetry-based Localization of Autonomous Underwater Robots

This paper presents an evaluation of a number of probabilistic algorithms for localization of autonomous underwater vehicles (AUVs) using bathymetry data. The algorithms, based on the principles of the Bayes filter, work by fusing bathymetry information with depth and altitude data from an AUV. Four different Bayes filter-based algorithms are used to design the localization algorithms: the Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), Particle Filter (PF), and Marginalized Particle Filter (MPF). We evaluate the performance of these four Bayesian bathymetry-based AUV localization approaches under variable conditions and available computational resources. The localization algorithms overcome unique challenges of the underwater domain, including visual distortion and radio frequency (RF) signal attenuation, which often make landmark-based localization infeasible. Evaluation results on real-world bathymetric data show the effectiveness of each algorithm under a variety of conditions, with the MPF being the most accurate.
Are short-stem prostheses superior to conventional stem prostheses in primary total hip arthroplasty? A systematic review and meta-analysis of randomised controlled trials

Objective Cementless total hip arthroplasty (THA) is associated with reliable clinical results and high patient satisfaction. Short-stem prostheses (SS) were designed to achieve superior preservation of proximal bone stock and stability compared with those of conventional-stem prostheses (CS). This meta-analysis was conducted to determine the proximal bone remodelling, revision rate, Harris Hip Score, radiolucent line and maximum total point motion values of both SS and CS for primary THA. Method Relevant randomised controlled trials (RCTs) involving SS and CS in primary THA were identified from electronic databases, such as EMBASE, PubMed and the Cochrane Library. Result Ultimately, 12 RCTs involving 1130 patients (1387 hips) were included. The results showed that compared with CS, SS resulted in less bone mineral density (BMD) changes in Gruen zone 7 at 1 year and 2 years postoperatively (mean difference (MD)=5.11; 95% CI, 1.61, 8.61; P=0.30; and MD=4.90; 95% CI, 1.01, 8.79; P=0.17, respectively). No difference in BMD changes was found for Gruen zone 1 (MD=2.66; 95% CI, −3.31, 8.64; P<0.00001), and no differences were observed for the revision rate (relative risk (RR)=1.52; 95% CI, 0.71, 3.26; P=0.94), Harris Hip Score (MD=−0.38; 95% CI, −1.02, 0.26; P=0.89) or stem migration (MD=0.02; 95% CI, −0.07, 0.11; P=0.04). Conclusion Our results suggest that compared with CS, SS may provide superior bone remodelling and similar survival rates and clinical outcomes. However, the short-term follow-up of the included studies was inadequate to determine the long-term performance of SS.
ESTRATÉGIAS DE INTERNACIONALIZAÇÃO DO SETOR AGROINDUSTRIAL BRASILEIRO DE CARNES: EXPORTAÇÃO OU INVESTIMENTO DIRETO NO EXTERIOR? DOI:10.7444/fsrj.v2i2.59

The article analyzes the internationalization strategies of the four largest Brazilian companies in the meat (beef, pork and poultry) agribusiness sector, by considering the comparative and competitive advantages of the country and the companies. JBS, Marfrig, Sadia and Perdigão were studied, of which the last two merged in May 2009, forming Brasil Foods. The authors looked into what led these companies to start investing abroad directly, as from 2005, as a complement to their exports, the preferred strategy for placing products in foreign markets. The research method used was the multiple case study, drawing on primary data (interviews, corporate annual reports, financial statements, press releases and shareholder information) and secondary data (theses, dissertations, academic articles, reports in newspapers and business journals), using bibliographic and documentary research. Everything was analyzed in the light of international business and strategy theories. The results show that exports still predominate and that investing directly abroad was, in principle, a reactive strategy to sanitary barriers against Brazilian products. However, the acquisition of companies in restriction-free countries has increased as part of a forward-looking strategy for gaining access to new markets and strengthening brands. Key-words: Agribusiness. Internationalization. Strategy. Eva José Stal, Vanderlei José Sereia & Ricardo Cesso da Silva Future Studies Research Journal ISSN 2175-5825 São Paulo, v. 2, n. 2, pp. 132 161, Jul./dez. 2010
DeepScreen: An Accurate, Rapid, and Anti‐Interference Screening Approach for Nanoformulated Medication by Deep Learning

Accuracy of current efficacy judgment methods for nanoformulated drug remains unstable due to the interference of nanocarriers. Herein, DeepScreen, a drug screening system utilizing convolutional neural network based on flow cytomerty single‐cell images, is introduced. Compared to existing experimental approaches, the high‐throughput system has superior precision, rapidity, and anti‐interference, and is cost‐cutting with high accuracy. First, it can resist most disturbances from manual factors of complicated evaluation progress. In addition, class activation maps generated from DeepScreen indicate that it may identify and locate the tiny variation from cell apoptosis and slight changes of cellular period caused by drug or even nanoformulated drug action at very early stages. More importantly, the excellent performance of assessment on two types of nanoformulations and fluorescent drug proves the fine generality and anti‐interference of this novel system. All these privileged performances make DeepScreen a very smart and promising system for drug detection.
iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators

MOTIVATION Transcription termination is an important regulatory step of gene expression. If there is no terminator in gene, transcription could not stop, which will result in abnormal gene expression. Detecting such terminators can determine the operon structure in bacterial organisms and improve genome annotation. Thus, accurate identification of transcriptional terminators is essential and extremely important in the research of transcription regulations. RESULTS In this study, we developed a new predictor called 'iTerm-PseKNC' based on support vector machine to identify transcription terminators. The binomial distribution approach was used to pick out the optimal feature subset derived from pseudo k-tuple nucleotide composition (PseKNC). The 5-fold cross-validation test results showed that our proposed method achieved an accuracy of 95%. To further evaluate the generalization ability of 'iTerm-PseKNC', the model was examined on independent datasets which are experimentally confirmed Rho-independent terminators in Escherichia coli and Bacillus subtilis genomes. As a result, all the terminators in E. coli and 87.5% of the terminators in B. subtilis were correctly identified, suggesting that the proposed model could become a powerful tool for bacterial terminator recognition. AVAILABILITY AND IMPLEMENTATION For the convenience of most of wet-experimental researchers, the web-server for 'iTerm-PseKNC' was established at http://lin-group.cn/server/iTerm-PseKNC/, by which users can easily obtain their desired result without the need to go through the detailed mathematical equations involved.
Reproductive history and blood cell telomere length

Telomeres are repetitive nucleotide sequences that protect against chromosomal shortening. They are replenished by telomerase, an enzyme that may be activated by estrogen. Women have longer telomeres than men; this difference might be due to estrogen exposure. We hypothesized that reproductive histories reflecting greater estrogen exposure will be associated with longer blood cell telomeres. Among women in the Sister Study (n= 1,048), we examined telomere length in relation to self-reported data on reproductive history. The difference between age at menarche and last menstrual period was used to approximate the reproductive period. Relative telomere length (rTL) was measured using qPCR. After adjustment, rTL decreased with longer reproductive period (β= -0.019, 95% CI: -0.04, -0.00, p= 0.03). Premenopausal women had shorter rTL than postmenopausal women (β= -0.051, 95% CI: -0.12, 0.01, p= 0.13). Longer breastfeeding duration was associated with longer rTL (β= 0.027, 95% CI: 0.01, 0.05, p=0.01); increasing parity was associated with shorter rTL (β = -0.016, 95% CI: -0.03, 0.00, p=0.07). Duration of exogenous hormone use was not associated with rTL. Reproductive histories reflecting greater endogenous estrogen exposure were associated with shorter rTL. Our findings suggest that longer telomeres in women are unlikely to be explained by greater estrogen exposure.
Daily Fluctuations in Smartphone Use, Psychological Detachment, and Work Engagement: The Role of Workplace Telepressure

Today’s work environment is shaped by the electronic age. Smartphones are important tools that allow employees to work anywhere and anytime. The aim of this diary study was to examine daily smartphone use after and during work and their association with psychological detachment (in the home domain) and work engagement (in the work domain), respectively. We explored whether workplace telepressure, which is a strong urge to respond to work-related messages and a preoccupation with quick response times, promotes smartphone use. Furthermore, we hypothesized that employees experiencing high workplace telepressure would have more trouble letting go of the workday during the evening and feel less engaged during their workday to the extent that they use their smartphone more intensively across domains. A total of 116 employees using their smartphones for work-related purposes completed diary questionnaires on five workdays (N = 476 data points) assessing their work-related smartphone use, psychological detachment after work, and engagement during work. Workplace telepressure was measured as a between-individual variable and only assessed at the beginning of the study, as well as relevant control variables such as participants’ workload and segmentation preference (a preference for work and home domains to be as segmented as possible). Multilevel path analyses revealed that work-related smartphone use after work was negatively related to psychological detachment irrespective of employees’ experienced workplace telepressure, and daily smartphone use during work was unrelated to work engagement. Supporting our hypothesis, employees who reported high telepressure experienced less work engagement on days that they used their smartphone more intensively during work. Altogether, intensive smartphone use after work hampers employees’ psychological detachment, whereas intensive smartphone use during work undermines their work engagement only when employees experience high workplace telepressure as well. Theoretical and practical implications of these findings are discussed.
Toward Perceptive Soft Robots: Progress and Challenges

In the past few years, soft robotics has rapidly become an emerging research topic, opening new possibilities for addressing real‐world tasks. Perception can enable robots to effectively explore the unknown world, and interact safely with humans and the environment. Among all extero‐ and proprioception modalities, the detection of mechanical cues is vital, as with living beings. A variety of soft sensing technologies are available today, but there is still a gap to effectively utilize them in soft robots for practical applications. Here, the developments in soft robots with mechanical sensing are summarized to provide a comprehensive understanding of the state of the art in this field. Promising sensing technologies for mechanically perceptive soft robots are described, categorized, and their pros and cons are discussed. Strategies for designing soft sensors and criteria to evaluate their performance are outlined from the perspective of soft robotic applications. Challenges and trends in developing multimodal sensors, stretchable conductive materials and electronic interfaces, modeling techniques, and data interpretation for soft robotic sensing are highlighted. The knowledge gap and promising solutions toward perceptive soft robots are discussed and analyzed to provide a perspective in this field.
Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities

We propose a probabilistic model for refining coarse-grained spatial data by utilizing auxiliary spatial data sets. Existing methods require that the spatial granularities of the auxiliary data sets are the same as the desired granularity of target data. The proposed model can effectively make use of auxiliary data sets with various granularities by hierarchically incorporating Gaussian processes. With the proposed model, a distribution for each auxiliary data set on the continuous space is modeled using a Gaussian process, where the representation of uncertainty considers the levels of granularity. The finegrained target data are modeled by another Gaussian process that considers both the spatial correlation and the auxiliary data sets with their uncertainty. We integrate the Gaussian process with a spatial aggregation process that transforms the fine-grained target data into the coarse-grained target data, by which we can infer the fine-grained target Gaussian process from the coarse-grained data. Our model is designed such that the inference of model parameters based on the exact marginal likelihood is possible, in which the variables of finegrained target and auxiliary data are analytically integrated out. Our experiments on real-world spatial data sets demonstrate the effectiveness of the proposed model.
Panta Rhei: Neovascularization, Angiogenesis and Nutritive Perfusion in Wound Healing

Background: In response to tissue damage, angiogenesis is an extremely dynamic process that is finely regulated by signals from cells, the surrounding extracellular matrix (ECM), and derived mediators. As the only process, angiogenesis remains of decisive importance in the context of the entire wound healing process and is subject to constant change. The dissolution of the endothelial basement membrane, the migration of endothelial cells, and the development of new capillary vessels during wound healing depend not only on the cells and cytokines present, but also on the production and organization of ECM components in the immediate wound. Summary: Angiogenesis in wound healing can be divided into two main phases. During the pro-angiogenic phase at the beginning of wound healing, excessive neo-formation of blood vessels, some of which are poorly differentiated, occurs, which restore blood flow and thus nutritive perfusion as quickly as possible. This is followed by an anti-angiogenic phase in which the initially established vascular network undergoes a maturing process, which, however, is accompanied by a significant reduction in the number of vessels. Key Messages: Although many mechanisms and specific cell functions in wound healing have already been described, many underlying pathophysiological processes remain unknown. Because angiogenesis and its maturation is a very fast but also very long-lasting process, the understanding of the underlying mechanisms is of crucial importance. This article will give an overview of the current understanding and controversy in this sub-step of wound healing.