One4all-A New SCADA Approach.

The main purpose of this paper is to introduce a new concept, named "one4all" in the realm of SCADA (Supervisory Control and Data Acquisition) systems, used by a regional company (particularly a water supplying company) for managing the different views of its users. As a secondary purpose, the paper presents an integration of such an SCADA system with a GIS (Geographical Information System) system. All the regional water supply companies in Romania manage water and wastewater networks, many sensors and actuators, dozens of water pump plants, several water treatment and wastewater plants, tanks and many hydrophores in different parts of their operating range. Due to the wide geographical operating range, an SCADA system needs to be put in place, but the management of such a system in a traditional way is hard to implement, especially when the human resource is low. The methodology presented in this paper, involving adding helper tables and dynamic template windows within an SCADA tool ("one4all" tool), will show how efficiently the human resource can be used. Additionally, the paper shows that companies as described above, can use a single SCADA system that generates different views for all the managed sub regions instead of different systems for every sub region. Implementing only one SCADA system built with the concept "one4all" in mind, and integrating it with a GIS system that is built on the same principle, represents a new approach that will bring value to any organization willing to adopt it. The concept of "one4all", implemented as a software tool for an SCADA system, is a new concept that will help any developer to easily build applications that generate different views for different users based on their permissions and their operating range. Finally, the paper presents some examples of the same concept, implemented in a different vertical (GIS) and programming language, thus presenting that a "one4all" concept is viable and helpful, bringing value to the information technology industry.

Pregnancy Rates After Surgical Treatment of Deep Infiltrating Endometriosis in Infertile Patients With at Least 2 Previous In Vitro Fertilization or Intracytoplasmic Sperm Injection Failures.

STUDY OBJECTIVE: To assess the postoperative probabilities of pregnancy in patients with deep infiltrating endometriosis (DIE) and ≥2 previous in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) failures. DESIGN: Retrospective study using data prospectively recorded in the North-West Inter Regional Female Cohort for Patients with Endometriosis (CIRENDO) database. SETTING: University tertiary referral center. PATIENTS: Infertile patients under the age of 43 years, having undergone ≥2 previous IVF or ICSI failures, who were surgically managed for DIE. INTERVENTIONS: Complete excision of DIE. MEASUREMENTS AND MAIN RESULTS: The pregnancy rate after surgery was assessed. One hundred and four infertile patients had surgery in 7 different centers participating in the database. Seventy-seven women intended to get pregnant postoperatively. Four patients who got pregnant by oocyte donation were excluded, resulting in a sample of 73 women. The mean patient age was 31.9 years (standard deviation [SD], 4.1), and the mean length of history of infertility was 48.4 months (SD, 26.5). Stage III and IV endometriosis were recorded in 83.6% of patients. The mean postoperative follow-up was 46.6 months (SD, 20.5). The postoperative pregnancy rate was 43.8% with a mean time from surgery to pregnancy of 11.1 months. 21.8% of pregnancies were spontaneous, 31.2% were obtained by IVF, 21.8% by frozen embryo transfer, 18.7% by IVF-ICSI, and 3.1% by intrauterine insemination. Multivariate analysis revealed that ovarian surgery, age ≥35 years old, and stage II endometriosis was associated with the probability of conception. CONCLUSION: Infertile women with ≥2 IVF-ICSI failures may be referred for surgery as it appears related to reasonable postoperative pregnancy rates, particularly when endometriomas surgery is either not required or not performed. Surgery for DIE does not routinely delay conception, as it usually occurs during the year following surgery.

Singlet-assisted diffusion-NMR (SAD-NMR): redefining the limits when measuring tortuosity in porous media.

Long-lived singlet order is exploited in diffusion NMR experiments to successfully measure the tortuosity of randomly packed spheres with diameters ranging from 500 to 1000 µm. The pore spaces in such packings have characteristic length scales well beyond the length scale limit set by spin relaxation in conventional NMR-diffusion experiments. Diffusion times of up to 240 s were used to obtain the restricted diffusion coefficient as a function of diffusion time in the long-time diffusion regime. Experimental results were validated with numerical simulations and data from X-ray micro-computed tomography.

Synthesis of an isotopically labeled naphthalene derivative that supports a long-lived nuclear singlet state.

The synthesis of an octa-alkoxy substituted isotopically labeled naphthalene derivative, shown to have excellent properties in singlet NMR experiments, is described. This highly substituted naphthalene system, which incorporates an adjacent (13)C spin pair, is readily accessed from a commercially available (13)C2-labeled building block via sequential thermal alkynyl- and arylcyclobutenone rearrangements. The synthetic route incorporates a simple desymmetrization approach leading to a small difference in the chemical shifts of the (13)C spin pair, a design constraint crucial for accessing nuclear singlet order.

Real-space imaging of macroscopic diffusion and slow flow by singlet tagging MRI.

Magnetic resonance imaging can be used to study motional processes such as flow and diffusion, but the accessible timescales are limited by longitudinal relaxation. The spatially selective conversion from magnetization to long-lived singlet order in designer molecules makes it possible to tag a region of interest for an extended period of time, of the order of several minutes. Here we exploit this concept of "singlet tagging" to monitor diffusion over a macroscopic scale as well as very slow flow.