Data-driven control over short-period internal multiples in media with a horizontally layered overburden

SUMMARY Short-period internal multiples, resulting from closely spaced interfaces, may interfere with their generating (bandlimited) primaries, and hence they pose a long-standing challenge in their prediction and removal. A recently proposed method based on the Marchenko equation enables removal of the entire overburden-related scattering by means of calculating an inverse transmission response. However, the method relies on time windowing and can thus be inexact in the presence of short-period internal scattering. In this work, we present a detailed analysis of the impact of band-limitation on the Marchenko method. We show the influence of an incorrect first guess, and that adding multidimensional energy conservation and a minimum phase principle may be used to correctly account for both long- and short-period internal multiple scattering. The proposed method can currently only be solved for media with a laterally invariant overburden, since a multidimensional minimum phase condition is not well understood for truly 2-D and 3-D media. We demonstrate the virtue of the proposed scheme with a complex acoustic numerical model that is based on sonic log measurements in the Middle East. The results suggest not only that the conventional scheme can be robust in this setting, but that the ‘augmented’ Marchenko method is superior, as the latter produces a structural image identical to one where the finely layered overburden is missing. This is the first demonstration of a data-driven method to account for short-period internal multiples beyond 1-D.

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Handling short-period scattering using augmented Marchenko autofocusing

Geophysical Journal International ◽

10.1093/gji/ggy544 ◽

2019 ◽

Vol 216 (3) ◽

pp. 2129-2133 ◽

Cited By ~ 6

Author(s):

Marcin Dukalski ◽

Elisa Mariani ◽

Koos de Vos

Keyword(s):

Energy Conservation ◽

Heterogeneous Medium ◽

Minimum Phase ◽

Short Period ◽

Marchenko Equation ◽

Standing Problem

SUMMARY Marchenko autofocusing constructs arbitrary acoustic wavefields inside an unknown heterogeneous medium from a single-sided, bandlimited in practice, reflection response by solving the Marchenko equation. Presence of short-period scattering leads to erroneous solutions and therefore incorrect medium characterization. We show that augmenting this equation with energy conservation and minimum phase conditions enables to correct these erroneous solutions, and thus it removes the long-/short-period timescale separation and solves this long standing problem.

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Optimization strategies of human mobility during the COVID-19 pandemic: A review

Mathematical Biosciences and Engineering ◽

10.3934/mbe.2021395 ◽

2021 ◽

Vol 18 (6) ◽

pp. 7965-7978

Author(s):

Soumyajyoti Biswas ◽

◽

Amit Kr Mandal ◽

Keyword(s):

Human Mobility ◽

Global Scale ◽

Data Driven ◽

Virus Spread ◽

Spreading Process ◽

The Public ◽

Short Period ◽

Travel Restrictions ◽

Almost All ◽

The Impact

<abstract><p>The impact of the ongoing COVID-19 pandemic is being felt in all spheres of our lives – cutting across the boundaries of nation, wealth, religions or race. From the time of the first detection of infection among the public, the virus spread though almost all the countries in the world in a short period of time. With humans as the carrier of the virus, the spreading process necessarily depends on the their mobility after being infected. Not only in the primary spreading process, but also in the subsequent spreading of the mutant variants, human mobility plays a central role in the dynamics. Therefore, on one hand travel restrictions of varying degree were imposed and are still being imposed, by various countries both nationally and internationally. On the other hand, these restrictions have severe fall outs in businesses and livelihood in general. Therefore, it is an optimization process, exercised on a global scale, with multiple changing variables. Here we review the techniques and their effects on optimization or proposed optimizations of human mobility in different scales, carried out by data driven, machine learning and model approaches.</p></abstract>

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Data-driven Controller Tuning for Non-minimum Phase Plants with Stability Constraints

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.134.1802 ◽

2014 ◽

Vol 134 (12) ◽

pp. 1802-1808

Author(s):

Ryota Matsuo ◽

Kazuhiro Yubai ◽

Daisuke Yashiro ◽

Junji Hirai

Keyword(s):

Data Driven ◽

Minimum Phase ◽

Controller Tuning

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HBOT Application at Cases of Gingival Inflammation

Journal of Dentistry and Oral Sciences ◽

10.37191/mapsci-2582-3736-1(3)-017 ◽

2019 ◽

Author(s):

Ilma Robo

Keyword(s):

Root Resorption ◽

Periodontal Diseases ◽

Therapeutic Effects ◽

Clinical Effects ◽

Gingival Inflammation ◽

Beneficial Effects ◽

New Therapeutic Approaches ◽

Short Period ◽

Mechanical Therapy ◽

The Impact

The treatment of periodontal diseases, mainly of their origin, with the most common clinical manifestation in form of gingival inflammation, is manifold and powerful, including: mechanical therapy, antibiotic, antiseptic and various approaches to treatment, which are recommended to be used within a short period of time. New therapeutic approaches have been proven as alternative treatment to conventional therapy, or in combination with conventional therapies, to reduce the number of periodontopathic pathogens in gingival sulcus. HBOT has a detrimental effect on periodontal microorganisms, as well as beneficial effects on the healing of periodontal tissue, increasing oxygen pressure in gingival pockets. Our study is aimed at reviewing the current published literature on hyperbaric oxygen therapy and focuses on role of HBOT as a therapeutic measure for the individual with periodontal disease in general and for the impact on the recovery of gingival inflammation. HBOT and periodontal treatment together, reduce up to 99% of the gram-negative anaerobic load of subgingival flora. HBOT, significantly reduces subgingival anaerobic flora. Clinical effects in 2-year follow-up of treated patients are sensitive. Reduction of gingival hemorrhage indexes, depth of peritoneum, plaque index, occurs in cases of combination of HBOT and detraction. Reduced load persists up to 2 months after therapy. The significant increase in connective tissue removal starts at the end of 2nd week, to achieve the maximum in week 3-6 of application. HBOT used for re-implantation, stimulates the healing of periodontal membrane, pulp, prevents root resorption, healing of periodontal lining tissues. HBOT, significantly reduces the hemorrhage index with 1.2 value difference, 0.7mm probe depth, reduces gingival fluid by 2. HGH exposure is increased by gingival blood flow, with a difference of 2 in measured value. The therapeutic effects of HBOT in the value of the evaluation index can be saved up to 1-year post treatment.

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Ovarian Dysgerminoma in Pregnant Women with Viable Fetus: A Rare Case Report

Case Reports in Oncology ◽

10.1159/000513622 ◽

2021 ◽

pp. 141-146

Author(s):

Reda Youssef ◽

Gamal Sayed Ahmed ◽

Samir Alhyassat ◽

Sanaa Badr ◽

Ahmed Sabry ◽

...

Keyword(s):

Gestational Age ◽

Ovarian Neoplasms ◽

Imaging Modality ◽

Reproductive Age ◽

Diagnostic Challenge ◽

Short Period ◽

Ovarian Dysgerminoma ◽

The Impact ◽

In Pregnancy

Dysgerminoma is an uncommon malignant tumor arising from the germ cells of the ovary. Its association with pregnancy is extremely rare, with a reported incidence of about 0.2–1 per 100,000 pregnancies. Women in the reproductive age group are more commonly affected. It can be extremely rare to conceive naturally, without assisted reproductive interventions, in cases with ovarian dysgerminoma. If a pregnancy does occur with a concurrent dysgerminoma, it is even more unusual to carry the pregnancy to viability or childbirth without fetal or maternal compromise. We report a case of right ovarian dysgerminoma in a young female with a viable intrauterine pregnancy at 10 weeks, which is rarely diagnosed and managed at this gestational age. Numerous factors played a role in her favorable outcome, including early suspicion by ultrasound and presenting history, surgery, histopathological assessment, imaging, and involvement of the multidisciplinary oncology team. Ovarian neoplasms may rapidly increase in size within a short period with little or no symptoms. This poses a diagnostic challenge for obstetricians and oncologists. Hence, we aimed to evaluate the role of imaging in pregnancy using ultrasound as an imaging modality for both early detection of ovarian neoplasms and for follow-up. In conclusion, patients with ovarian dysgerminoma in pregnancy can have favorable outcomes. Treatment should be individualized on a case-to-case basis, depending on many factors; cancer stage, previous reproductive history, the impact of imaging in staging or follow-up of tumor on the fetus, fetal gestational age, and whether termination of the pregnancy can improve survival or morbidity for the mother.

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MitoQ Is Able to Modulate Apoptosis and Inflammation

International Journal of Molecular Sciences ◽

10.3390/ijms22094753 ◽

2021 ◽

Vol 22 (9) ◽

pp. 4753

Author(s):

Elisa Piscianz ◽

Alessandra Tesser ◽

Erika Rimondi ◽

Elisabetta Melloni ◽

Claudio Celeghini ◽

...

Keyword(s):

Reactive Oxygen Species ◽

Mevalonate Pathway ◽

Neuronal Cell ◽

Reactive Oxygen ◽

Mitochondrial Activity ◽

Oxygen Species ◽

Short Period ◽

Inflammatory Stimuli ◽

Apoptosis And Inflammation ◽

The Impact

Mitoquinone (MitoQ) is a mitochondrial reactive oxygen species scavenger that is characterized by high bioavailability. Prior studies have demonstrated its neuroprotective potential. Indeed, the release of reactive oxygen species due to damage to mitochondrial components plays a pivotal role in the pathogenesis of several neurodegenerative diseases. The present study aimed to examine the impact of the inflammation platform activation on the neuronal cell line (DAOY) treated with specific inflammatory stimuli and whether MitoQ addition can modulate these deregulations. DAOY cells were pre-treated with MitoQ and then stimulated by a blockade of the cholesterol pathway, also called mevalonate pathway, using a statin, mimicking cholesterol deregulation, a common parameter present in some neurodegenerative and autoinflammatory diseases. To verify the role played by MitoQ, we examined the expression of genes involved in the inflammation mechanism and the mitochondrial activity at different time points. In this experimental design, MitoQ showed a protective effect against the blockade of the mevalonate pathway in a short period (12 h) but did not persist for a long time (24 and 48 h). The results obtained highlight the anti-inflammatory properties of MitoQ and open the question about its application as an effective adjuvant for the treatment of the autoinflammatory disease characterized by a cholesterol deregulation pathway that involves mitochondrial homeostasis.

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Quantifying the Impact of a Tsunami on Data-Driven Earthquake Relief Zone Planning in Los Angeles County via Multivariate Spatial Optimization

Geosciences ◽

10.3390/geosciences11020099 ◽

2021 ◽

Vol 11 (2) ◽

pp. 99 ◽

Cited By ~ 1

Author(s):

Yueqi Gu ◽

Orhun Aydin ◽

Jacqueline Sosa

Keyword(s):

Los Angeles ◽

A Priori ◽

Safety Data ◽

Spatial Optimization ◽

Optimal Number ◽

Multidisciplinary Optimization ◽

Data Driven ◽

Fault System ◽

Design Data ◽

The Impact

Post-earthquake relief zone planning is a multidisciplinary optimization problem, which required delineating zones that seek to minimize the loss of life and property. In this study, we offer an end-to-end workflow to define relief zone suitability and equitable relief service zones for Los Angeles (LA) County. In particular, we address the impact of a tsunami in the study due to LA’s high spatial complexities in terms of clustering of population along the coastline, and a complicated inland fault system. We design data-driven earthquake relief zones with a wide variety of inputs, including geological features, population, and public safety. Data-driven zones were generated by solving the p-median problem with the Teitz–Bart algorithm without any a priori knowledge of optimal relief zones. We define the metrics to determine the optimal number of relief zones as a part of the proposed workflow. Finally, we measure the impacts of a tsunami in LA County by comparing data-driven relief zone maps for a case with a tsunami and a case without a tsunami. Our results show that the impact of the tsunami on the relief zones can extend up to 160 km inland from the study area.

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The INSESS-COVID19 Project. Evaluating the Impact of the COVID19 in Social Vulnerability While Preserving Privacy of Participants from Minority Subpopulations

Applied Sciences ◽

10.3390/app11073110 ◽

2021 ◽

Vol 11 (7) ◽

pp. 3110

Author(s):

Karina Gibert ◽

Xavier Angerri

Keyword(s):

Social Vulnerability ◽

Data Science ◽

Policy Design ◽

Data Driven ◽

Informed Decision Making ◽

Technological Infrastructure ◽

Moderate Number ◽

Reliable Diagnosis ◽

Multivariate Relationships ◽

The Impact

In this paper, the results of the project INSESS-COVID19 are presented, as part of a special call owing to help in the COVID19 crisis in Catalonia. The technological infrastructure and methodology developed in this project allows the quick screening of a territory for a quick a reliable diagnosis in front of an unexpected situation by providing relevant decisional information to support informed decision-making and strategy and policy design. One of the challenges of the project was to extract valuable information from direct participatory processes where specific target profiles of citizens are consulted and to distribute the participation along the whole territory. Having a lot of variables with a moderate number of citizens involved (in this case about 1000) implies the risk of violating statistical secrecy when multivariate relationships are analyzed, thus putting in risk the anonymity of the participants as well as their safety when vulnerable populations are involved, as is the case of INSESS-COVID19. In this paper, the entire data-driven methodology developed in the project is presented and the dealing of the small subgroups of population for statistical secrecy preserving described. The methodology is reusable with any other underlying questionnaire as the data science and reporting parts are totally automatized.

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