Miracle-dz/UniFAR-FTUs huggingface dataset:
Basal follicle stimulating hormone level correlated to age is a good prognostic criterion for the outcome of intracytoplasmic sperm microinjection.

BACKGROUND Age and increased FSH serum level in women are prognosis criteriae associated with decreased fertility. OBJECTIVE The aim of this study was to investigate whether age-specific FSH concentration can be a predictor of the outcome of ovarian stimulation in women undergoing IVF. METHODS A total of 676 women undergoing their first IVF cycle over a 3-year period were included in this retrospective cohort study. Patients were grouped according to age (< or ≥ 38 years), and within each age range, patients were grouped into bFSH quartiles (< or ≥ 9.6 mUI/L). We have considered four study groups: group A (Age < 38 years and FSH < 9.6 m UI/l), group B (Age < 38 years and FSH ≥ 9.6 m UI/l), group C (Age ≥ 38 years and FSH < 9.6 m UI/l), group D (Age ≥ 38 years and FSH ≥ 9.6 m UI/l). The outcome measures in each group included: consumed quantity of gonadotrophin, poor response, cycle cancellation, oocyte yield, number of embryos obtained, embryonic quality (grade 1 embryo), as well as, fertilization, implantation, clinical pregnancy and childbirth rates. Analysis of the Results compares laboratory parameters and ICSI Results, based on a statistical analysis that is essentially descriptive. RESULTS High bFSH levels in young patients (< 38 years) predicts a higher poor response (p < 0.0001), higher stopped cycles (p < 0.0001), lower oocyte yield (p < 0.0001) and lower embryos obtained (p < 0.0001) in IVF cycles but does not translate to either lower pregnancy, childbirth or implantation rates. In old women high FSH level does not influence ICSI outcome but may increase poor response (p <0.01) and stopped cycles (p < 0.0001). In each age group, the rate of spontaneous miscarriage does not increase according to FSH level. The pregnancy rate and child birth rate are better in young women with high FSH levels than in older women with normal FSH levels (p < 0.05). CONCLUSION The findings of this study suggest that basal FSH concentrations when correlated to age is a good predictive factor of ovarian response for assisted reproductive treatment. In young women a high FSH level may affect laboratary parametres but not pregnancy rate. In old women normal FSH level does not improve ICSI outcome but may increase "avorted" cycles. Pregnancy rate and child birth rate are better in young women with high FSH levels than in older women with normal FSH levels.
Sharing research results with patients: the views of care-givers involved in a randomized controlled trial.

Abstract Doctors and midwives in a large maternity hospital who were involved in a randomized controlled trial (to compare methods of monitoring the foetal heart during labour) were asked whether the trial results should be passed on to women coming to the hospital for their care. About a third of those interviewed thought that women should be told about the trial results. They varied in their reasons and in how they would go about doing it. Some of those who felt that trial results should not be passed on to women coming to the hospital found the results difficult to understand themselves. Others took the view that making decisions about care was a professional responsibility which should not routinely be shared with patients.
Enterprise Architecture and Organizational Reform: A Project Debrief

This paper studies on how enterprise architecture (EA) is used as a tool to assist organizational reform. In particular, we examine how institutional factors influencing organization change process through an EA project. We conduct a qualitative case study and use institutional theory as a lens to analyze data from an organization. This analysis offers insights about how exogenous and endogenous factors influence organizational change, and how organizational structures get shaped, diffused, and institutionalized. Our study provides understanding how stakeholders are involved in project activities in multiple levels and phases of the institutionalization process; namely innovation phase, theorization phase, diffusion phase, and institutionalization phase.
The Effects of Complex Wrist and Forearm Posture on Wrist Range of Motion

Previous research on wrist functionality has focused almost entirely on range of motion (ROM) in 2 or 3 isolated planes (flexion/extension, radial/ulnar deviation, and forearm pronation/supination), without investigating the potential effects of complex wrist/forearm posture on ROM. A quantitative analysis of these effects on wrist ROM was performed. ROM was measured in one plane using both a manual method and an electrogoniometer while the participant maintained a fixed, secondary wrist and forearm posture. The study revealed that combinations of wrist/forearm postures have significant effects on wrist ROM; the largest effects are those of wrist flexion/extension on radial deviation ROM. The study also found that, consistent with previous research, wrist deviation measurements obtained with an electrogoniometer were significantly different from those obtained manually. Biomechanical theories for the results obtained are discussed. This research could be used to enhance ergonomic evaluation techniques by providing a more accurate risk assessment of certain complex wrist postures, particularly those in which wrist flexion/extension is combined with radial deviation.
Allometric equations for integrating remote sensing imagery into forest monitoring programmes

Remote sensing is revolutionizing the way we study forests, and recent technological advances mean we are now able – for the first time – to identify and measure the crown dimensions of individual trees from airborne imagery. Yet to make full use of these data for quantifying forest carbon stocks and dynamics, a new generation of allometric tools which have tree height and crown size at their centre are needed. Here, we compile a global database of 108753 trees for which stem diameter, height and crown diameter have all been measured, including 2395 trees harvested to measure aboveground biomass. Using this database, we develop general allometric models for estimating both the diameter and aboveground biomass of trees from attributes which can be remotely sensed – specifically height and crown diameter. We show that tree height and crown diameter jointly quantify the aboveground biomass of individual trees and find that a single equation predicts stem diameter from these two variables across the world's forests. These new allometric models provide an intuitive way of integrating remote sensing imagery into large‐scale forest monitoring programmes and will be of key importance for parameterizing the next generation of dynamic vegetation models.
The effect of perceived cultural and material threats on ethnic preferences in immigration attitudes

This paper shows that cultural and material threats exist side by side, serving different psychological functions, and that they manifest in differential attitudes towards immigrants from different ethnic or racial origins. While culturally threatened individuals prefer immigrants akin to themselves, as opposed to those from different races and cultures, the materially threatened prefer immigrants who are different from themselves who can be expected not to compete for the same resources. We test our hypotheses using multilevel structural equation modelling, based on data from twenty countries in the 2002 wave of the European Social Survey. The disaggregation of these two types of perceived threat reveals responsiveness to the race of immigrants that is otherwise masked by pooling the two threat dimensions.
The Population Health Benefits Of A Healthy Lifestyle: Life Expectancy Increased And Onset Of Disability Delayed.

A key determinant of population health is the behavioral profile of a population. Nearly 80 percent of Americans reach their fifties having smoked cigarettes, been obese, or both. It is unknown to what extent risky behaviors (for example, smoking, having a poor diet, being physically inactive, and consuming an excessive amount of alcohol) collectively are reducing the health and life expectancy of the US population, or what improvements might be achievable in their absence. Using data from the Health and Retirement Study, we studied people ages fifty and older who had never smoked, who were not obese, and who consumed alcohol moderately. Compared to the whole US population, those with such a favorable behavioral profile had a life expectancy at age fifty that was seven years longer, and they experienced a delay in the onset of disability of up to six years. These results provide a benchmark for evaluating the massively damaging effects that behavioral risks have on health at older ages and the importance of prioritizing policies to implement behavioral-based interventions.
Problemas de empleo, tendencias subregionales y políticas para mejorar la inserción laboral

Los mercados laborales de la region latinoamericana enfrentan los efectos de un cambio tecnologico que flexibiliza los procesos productivos, la creciente movilidad de capital y tecnologia, y la adopcion de estrategias empresariales en respuesta al cambio de contexto. Ademas, el crecimiento economico reciente ha sido modesto en su promedio y volatil. En consecuencia, la generacion de empleo productivo ha sido debil y las pautas ocupacionales han tendido a diversificar y polarizarse. En la primera parte de este trabajo se revisa la evolucion poco satisfactoria reciente de los mercados laborales de la region. Se destaca que la region no se encuentra en una etapa de "crecimiento sin empleo" pero que, contrariamente a las expectativas que despertaron las reformas economicas, el crecimiento tampoco ha sido mas intensivo en mano de obra. En este contexto, se describen las diferencias en el desempeno laboral entre tres subregiones latinoamericanas y se analizan los factores que pueden contribuir a explicarlas. De esta manera, un crecimiento economico elevado y estable es un condicion necesaria para la generacion de empleo productivo. Sin embargo, en el contexto de una alta y creciente heterogeneidad de las estructuras productiva y ocupacional, el crecimiento economico por si solo no es suficiente para solucionar los problemas laborales. Por medio de las politicas laborales y del mercado de trabajo hay que apoyar estos esfuerzos, para superar cuatro retos, a saber: i);mejorar la productividad laboral; ii); generar empleo productivo; iii);desarrollar mecanismos de proteccion coherentes con el nuevo contexto economico, y iv); fomentar la insercion laboral de grupos con problemas especificos de acceso al empleo productivo. En la segunda parte del trabajo se discuten las politicas para enfrentar estos retos.
Self-Organized Connected Objects: Rethinking QoS Provisioning for IoT Services

The proliferation of connected objects has revolutionized the traditional Internet, giving rise to the emerging Internet of Things (IoT). The IoT ecosystem is very large, and it includes smart interconnections among sensors and devices with applications in both the industrial world and customers' daily lives. As a unified standard for IoT is still under development, many challenges related to IoT must be discussed and addressed, especially those related to energy efficiency. This article tackles the challenge of energy efficiency in IoT from a novel perspective. It shows that instead of maximizing the QoS, which is generally energy costly, better energy efficiency can be achieved by targeting satisfactory QoS levels only. The approach aims to enhance energy efficiency while ensuring a desired QoS threshold. This is supported by a game theoretical solution concept referred to as the satisfaction equilibrium. Moreover, as IoT objects require self-configuring techniques to maintain the network scalability and flexibility, this article introduces fully distributed schemes in order to reach efficient satisfaction equilibria in both slow- and fast-fading channel contexts. The proposed schemes can also be adapted to achieve the maximum performance of IoT applications that desire the highest QoS levels. The performance of these algorithms is illustrated through a smart home use case scenario.
A two-year follow-up on a program theory of return to work intervention.

OBJECTIVE Validation of a salutogenic theory for return to work (RTW) and an associated program process theory. METHODS A longitudinal non-randomized one-year trial study design was used with a two-year follow-up and with comparison to a reference group. Changes in attitudes and active behaviour in the intervention group and at the workplace were supported by cognitive and behavioural approaches. PARTICIPANTS The intervention group included 118 unskilled Danish public employees and privately employed house-cleaners on sick leave due to musculoskeletal and/or common mental illnesses. RESULTS Significant improvements of work ability index and perceived health (SF36 subgroups) were reported. A significantly higher RTW and a shorter sick leave than in the reference group also emerged. Positive predictors of RTW were keeping the pre-sick-leave job and improving work ability index and physical impairment/role physical. Decline in self-efficacy was a negative predictor. CONCLUSIONS Support for the theory and associated program process theory was found. The intervention seemed to influence RTW and the employees' attitudes, behaviour and health by affecting comprehensibility, meaningfulness and manageability. Sustainable RTW emerged from a synergism of support from the work place and improved personal resources, especially such as concern mental health. The approach is consistent with integrating health promotion in RTW.
The Classical Style: Haydn, Mozart, Beethoven

A reissue of a masterpiece by a world-class pianist and top-rank thinkernow expanded and with a compact disc. This outstanding book focusing on the three most-beloved composers of the Vienna School is considered basic to any study of the music from their era. Drawing on his rich experience and intimate familiarity with the works of these giants, Charles Rosen presents his keen insights in language that is clear, persuasive, and nontechnical. For this reissue of The Classical Style, Rosen provides a comprehensive new introduction that incorporates ideas he has formulated in the past twenty-five years and responds to the reactions of others writers to the book during that time. Readers are also treated to a compact disc, recorded by Rosen in 1996 and produced especially to accompany this new version of the book. The CD offers complete performances of two late sonatas of Beethoven that are discussed extensively in the text: the Opus 106 in Bb major (the Hammerklavier) and the Opus 110 in C minor.
Identification of Chorion Villi in Abortion Specimens

The incidence of ectopic pregnancy is rising. All patients with a diagnosis of spontaneous abortion should be observed until they have been proved not to have an ectopic pregnancy. To help in identifying patients with an ectopic pregnancy, sensitive human chorionic gonadotropin tests, ultrasound, and laparoscopy have been used, yet there has been a tendency to forget the simple method of looking for chorion villi. In material specimens of 272 patients with the initial diagnosis of spontaneous abortion, the gynecologist could identify villi in 50% and the pathologist could identify another 30%. Thus, only 20% had to be observed by other methods and one-third proved to have an ectopic pregnancy.
Molecular barcodes: Information transmission via persistent chemical tags

In molecular communication information is conveyed through chemical signals. In this work, we have considered a novel communication scheme where information is encoded in chemical barcodes, through use of persistent chemical tags. We have assumed that this information is already encoded in the environment, and we have devised a robotic platform for reading the chemical tag. We have performed many experiments to find the optimal encoding scheme and an algorithm for reading and decoding the chemically tagged information. We have demonstrated that chemical tags can be decoded using simple algorithms and inexpensive, off-the-shelf sensors. Finally, we have evaluated and presented the bit error rate performance of our devised algorithm.
Microarray analysis of gene expression during early stages of mild and severe cardiac hypertrophy.

Familial hypertrophic cardiomyopathy (FHC) is a disease characterized by ventricular hypertrophy, fibrosis, and aberrant systolic and/or diastolic function. We previously developed two transgenic mouse models that carry FHC-associated mutations in alpha-tropomyosin (TM): FHC alpha-TM175 mice show patchy areas of mild ventricular disorganization and limited hypertrophy, whereas FHC alpha-TM180 mice exhibit severe hypertrophy and fibrosis and die within 6 mo. To obtain a better understanding of the molecular mechanisms associated with the early onset of cardiac hypertrophy, we conducted a detailed comparative analysis of gene expression in 2.5-mo-old control, FHC alpha-TM175, and alpha-TM180 ventricular tissue. Results show that 754 genes (from a total of 22,600) were differentially expressed between the nontransgenic (NTG) and the FHC hearts. There are 178 differentially regulated genes between NTG and the FHC alpha-TM175 hearts, 388 genes are differentially expressed between NTG and FHC alpha-TM180 hearts, and 266 genes are differentially expressed between FHC alpha-TM175 and FHC alpha-TM180 hearts. Genes that exhibit the largest increase in expression belong to the "secreted/extracellular matrix" category, and those with the most significant decrease in expression are associated with "metabolic enzymes. " Confirmation of the microarray analysis was conducted by quantitative real-time PCR on gene transcripts commonly associated with cardiac hypertrophy.
Generalizable Data-Free Objective for Crafting Universal Adversarial Perturbations

Machine learning models are susceptible to adversarial perturbations: small changes to input that can cause large changes in output. It is also demonstrated that there exist input-agnostic perturbations, called universal adversarial perturbations, which can change the inference of target model on most of the data samples. However, existing methods to craft universal perturbations are (i) task specific, (ii) require samples from the training data distribution, and (iii) perform complex optimizations. Additionally, because of the data dependence, fooling ability of the crafted perturbations is proportional to the available training data. In this paper, we present a novel, generalizable and data-free approach for crafting universal adversarial perturbations. Independent of the underlying task, our objective achieves fooling via corrupting the extracted features at multiple layers. Therefore, the proposed objective is generalizable to craft image-agnostic perturbations across multiple vision tasks such as object recognition, semantic segmentation, and depth estimation. In the practical setting of black-box attack scenario (when the attacker does not have access to the target model and it's training data), we show that our objective outperforms the data dependent objectives to fool the learned models. Further, via exploiting simple priors related to the data distribution, our objective remarkably boosts the fooling ability of the crafted perturbations. Significant fooling rates achieved by our objective emphasize that the current deep learning models are now at an increased risk, since our objective generalizes across multiple tasks without the requirement of training data for crafting the perturbations. To encourage reproducible research, we have released the codes for our proposed algorithm.1
OMSSAGUI: An open‐source user interface component to configure and run the OMSSA search engine

We here present a user‐friendly and extremely lightweight tool that can serve as a stand‐alone front‐end for the Open MS Search Algorithm (OMSSA) search engine, or that can directly be used as part of an informatics processing pipeline for MS driven proteomics. The OMSSA graphical user interface (OMSSAGUI) tool is written in Java, and is supported on Windows, Linux, and OSX platforms. It is an open source under the Apache 2 license and can be downloaded from http://code.google. com/p/mass‐spec‐gui/.
Hydrophilic interpenetrating polymer networks of poly(dimethyl siloxane) (PDMS) as biomaterial for cochlear implants

Poly(dimethyl siloxane) (PDMS) was bulk-modified to develop a new intra-cochlear electrode that can closely hug the inner wall of scala tympani (ST). The hydrophilicity of bulk and surface of PDMS was changed using a sequential method for preparation of interpenetrating polymer networks (IPNs). A series of IPNs, based on PDMS and poly(acrylic acid) (PAAc), was synthesized and characterized by means of attenuated total reflectance Fourier transform infrared spectroscopy, water contact-angle measurement, dynamic mechanical thermal analysis and peel strength tests. The performances of actual-sized fabricated electrodes were assessed inside a transparent model of ST, which was filled with saline. The cell behavior of L929 fibroblasts on materials was studied in vitro.
Mammalian deoxynucleoside kinases. II. Deoxyadenosine kinase: purification and properties.

Abstract Deoxyadenosine kinase was partially purified 140-fold from calf thymus by fractionation with streptomycin, protamine, and ammonium sulfate and by column chromatography on Sephadex G-150 and DEAE-cellulose. The molecular weight was estimated to be about 63,000 by gel filtration chromatography. The enzyme appears to catalyze the phosphorylation of deoxyadenosine, deoxyguanosine, and cytidine to their corresponding nucleoside 5'-monophosphates in the presence of a divalent cation and a nucleoside 5'-triphosphate. All common ribo- and deoxynucleoside 5'-triphosphates, with the exception of deoxycytidine 5'-triphosphate, could act as phosphate donors.