Science & Mathematics

The ab initio GW plus Bethe-Salpeter equation (GW-BSE, where G is the one particle Green's function and W is the screened Coulomb interaction) approach has emerged as a leading method for predicting excitations in both solids and molecules with a predictive power contingent upon several factors. Among these factors are the (1) generalized Kohn-Sham eigensystem used to construct the GW self-energy and to solve the BSE and (2) the efficacy and suitability of the Tamm-Dancoff approximation. Here, we present a detailed benchmark study of low-lying singlet excitations from a generalized Kohn-Sham (gKS) starting point based on an optimally tuned range-separated hybrid (OTRSH) functional. We show that the use of this gKS starting point with one-shot G0 W0 and G0 W0 -BSE leads to the lowest mean absolute errors (MAEs) and mean signed errors (MSEs), with respect to high-accuracy reference values, demonstrated in the literature thus far for the ionization potentials of the GW100 benchmark set and for low-lying neutral excitations of Thiel's set molecules in the gas phase, without the need for self-consistency. The MSEs and MAEs of one-shot G0 W0 -BSE@OTRSH excitation energies are comparable to or lower than those obtained with other functional starting points after self-consistency. Additionally, we compare these results with linear-response time- dependent density functional theory (TDDFT) calculations and find GW-BSE to be superior to TDDFT when calculations are based on the same exchange-correlation functional. This work demonstrates tuned range-separated hybrids used in combination with GW and GW-BSE can greatly suppress starting point dependence for molecules, leading to accuracy similar to that for higher-order wavefunction-based theories for molecules without the need for costlier iterations to self-consistency.

We present an interferometric vibration sensor that uses 3-core fibers. The transducer is constructed by splicing a segment 20 mm long of a multicore optical fiber (MCF) to a single-mode optical fiber (SMF). The end of the MCF segment is cut off and painted using silver metallic paint. The sensor head is operated in reflection mode. The structure is placed on a PVC plate which is excited with a wide range of frequency signals. The vibrations induce cyclic bending in the MCF segment, resulting in periodic oscillations of the reflected interference spectrum. This device is demonstrated to be suitable to measure vibrations in a frequency range of the order of 300 kHz detecting deformations as small as 0.40 µm.

Dans cette contribution, nous nous intéressons aux structures et instabilités d’écoulements de cavité ouverte expérimentalement observées en régime incompressible

Processing ship trajectory data using Automatic Identification System (AIS) presents significant challenges. AIS generates large volumes of spatiotemporal data, making efficient indexing and pattern detection challenging. We propose an extension of the H3 geospatial indexing system by integrating kinetic data. This integration aims to capture not only the instantaneous description of movement but also segments of trajectories. The proposed Kinetic H3 (KH3) framework is designed to be computationally efficient and to minimize the representation volume. The application of this system is further investigated through the utilization of a maritime dataset drawn from real-world scenarios. Among the explored applications, our objective is to support previous research endeavors that engage in Topic Model Analysis to identify patterns within trajectories.

To take advantage of IPv6 stack in IoT technologies, an efficient header compression scheme is required. Since 2004, many IPv6 header compression schemes have been proposed and some of them have been standardized by the IETF. In [9], Static Context Header Compression (SCHC) mechanism has been designed for Low Power Wide Area Networks (LPWAN). SCHC compression is based on a common static context stored in both the IoT device and the network side. This static context defines the compression and decompression rules of the headers. The SCHC framework is compatible with LoRaWAN v1.0 [2] but not with LoRaWAN v1.1 that supports roaming of devices during mobility between different LoRaWAN operators. During roaming, the header values of the protocol stack change and are no longer static. In this paper, we propose a solution based on SCHC to support roaming of devices during mobility between different LoRaWAN operators. We define a server to manage the context between operators. In addition, the LoRaWAN frame route and the communication scheme are updated. A testbed has been setup to show the time differences between current LoRaWAN network and our proposal. The results shows that our proposal improves the communication process and decreases the time delay to handle the transmitted messages "uplink" before the registration.

Le territoire de la Grèce, tel que nous le connaissons aujourd’hui, est le produit d’un siècle d’histoire européenne, diplomatique, démographique et militaire. C’est ce siècle que l’exposition "1821-1921. Frontières, populations, territoires de la Grèce" souhaite illustrer, à travers une sélection de cartes issues de la collection de l’Institut français d’études byzantines, et présentées pour la première fois au public. Projetée au sein de l'exposition, la vidéo présente la genèse de cette collection de cartes.

In this paper, we introduce an approach for the data-driven abstraction of monotone dynamical systems. First, we introduce a set-valued simulating map, which over-approximates the dynamics of an unknown monotone system, using only a set of transitions generated by it. We establish the minimality of the introduced simulating map. Then, we show that the system, with this map as its transition relation, is equivalent (in the sense of alternating bisimulation) to a finite-state system. This equivalence enables the use of well-established symbolic control techniques to synthesize controllers. We show the effectiveness of the approach on a safety controller synthesis problem.

En 1903, Frédéric Jacquel construit à Dinsheim un tissage, sur l'emplacement d'un ancien moulin. Il y a joute en 1908 une filature à un seul niveau, dont le toit est plat car il prévoyait l'addition d'un deuxième niveau. Photo 4 : Base de la cheminée (ronde) et l'ancienne chaufferie.

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Abstract: This paper analyses success factors of family-owned businesses (FOBs), focusing on systems thinking, organizational networks and recently advanced data/AI analytics. FOBs are expected to remain an important factor in global economy despite the permacrisis and polycrisis environment. To improve their success, a multitude of factors can be applied. Authors have focused on analysis of Systems Thinking (ST), Organizational Social Networks (OSN), and Artificial Intelligence (AI)/data analytics. Results are based on literature analysis and the author’s consulting experience. Authors' insights are synthesized in the table at the end of the article. The table crosses FOB’s longevity success traits: long-term orientation, adaptation without losing identity, strong intergenerational succession, community embedding, inclusive governance structures and role specialization and professionalization with the proposed factors. A concrete set of actions for implementation is proposed in the cross section of the table. Keywords: Family-owned businesses, Critical Success Factors, Systems Thinking, Organizational Social Networks, Artificial Intelligence

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Education plays a pivotal role in promoting upward social mobility by enabling individuals to acquire knowledge, skills, and credentials that enhance their socioeconomic status. This study, “Education and Upward Mobility: A Sociological Analysis, ” examines the relationship between educational attainment and social mobility within the Indian context. It aims to understand how education functions as both a tool of empowerment and a mechanism that may reproduce existing inequalities related to class, caste, and gender. The study aims to examine the role of education in promoting upward social mobility in India by analyzing existing secondary data, including the Census of India (2011), NSSO reports, Ministry of Education statistics, and classical sociological works by scholars such as Durkheim, Marx, Bourdieu, Bowles and Gintis, and Sorokin. It seeks to understand how educational attainment influences individuals’ occupational status, income levels, and overall social position across different social groups. In addition, the study aims to assess the structural and institutional factors that limit the potential of education as a means of social mobility, including disparities related to caste, class, gender, and rural-urban divides. By drawing on these secondary sources, the research provides a comprehensive analysis of education’s dual role as both a vehicle for upward mobility and a reflection of existing social hierarchies in the Indian context.Findings reveal that education significantly contributes to upward mobility by widening employment opportunities and improving income levels. However, unequal access to quality education and persistent socio-economic disparities limit its potential as a true equalizer. The study concludes that inclusive educational reforms, equitable resource distribution, and skill-based learning are essential to enhance education’s role in achieving upward mobility and social justice.

Mazkur maqolada mintaqalar miqyosida farmatsevtika sanoatini barqaror va izchil rivojlantirishning ustuvormaqsadlari hamda ularni ta’minlash mexanizmlari ilmiy jihatdan tahlil qilingan. Tadqiqotda farmatsevtika sanoatiningiqtisodiy va ijtimoiy ahamiyati, mahalliy xomashyo resurslaridan oqilona va samarali foydalanish, ilmiy-tadqiqot vainnovatsion faoliyatni rivojlantirish, ishlab chiqarish samaradorligini oshirish hamda bozor va eksport imkoniyatlarinikengaytirish masalalari yoritilgan. Surxondaryo viloyati misolida farmatsevtika sanoatini rivojlantirishga yo‘naltirilganinvestitsiya jarayonlarining bandlik va eksport salohiyatiga ijobiy ta’siri baholangan. Shuningdek, farmatsevtikamahsulotlariga bo‘lgan talabni shakllantirish va prognozlashning konseptual modeli hamda mintaqaviy rivojlanishniboshqarishda ekonometrik modellashtirishga asoslangan samarali mexanizm taklif etilgan. Tadqiqot natijalari hududiysanoat siyosatini takomillashtirish va farmatsevtika tarmog‘ining barqaror rivojlanishini ta’minlashda amaliy ahamiyatgaega.

Анотація. Метою дослідження є науково обґрунтувати, як добросовісність та методологічна якість економічної експертизи впливає на точність встановлення шкоди конкуренції, вибір засобів реагування та стійкість рішень антимонопольного органу і судового контролю в Україні в умовах воєнних шоків після лютого 2022 року. Об'єктом дослідження є процес підготовки та використання економічної експертизи у справах щодо концентрацій, узгоджених дій і зловживання домінуванням, які розглядаються антимонопольним органом і судами, включно з даними, моделями, припущеннями та процедурами їхньої перевірки. Визначено роль добросовісної економічної експертизи як центрального елементу доказовості антимонопольної (конкурентної) політики, який забезпечує коректне встановлення причинно-наслідкових зв'язків між поведінкою компаній і наслідками для цін, якості, вибору та інновацій. Обґрунтовано, що на ринках із високою складністю, зокрема цифрових та інноваційно-інтенсивних, критичним є перехід від формальної аргументації до відтворюваних розрахунків, прозорих припущень, аналізу чутливості та перевірки альтернативних пояснень, що прямо підвищує стійкість рішень антимонопольного органу у судовому контролі. Доведено, що актуальність проблеми посилюється масштабами контролю концентрацій, адже за статистикою Організації економічного співробітництва та розвитку переважна більшість злиттів у юрисдикціях світу дозволяється безумовно, тоді як частка втручань є малою, що підвищує саму ціну кожної помилки економічної оцінки. Встановлено, що результати ретроспективних досліджень підтверджують ризик негативних ефектів навіть у дозволених угодах, зокрема у значній частці оцінок фіксується зростання цін після горизонтальних злиттів, що вимагає посилення стандартів економічного аналізу та доброчесності експертних висновків. Охарактеризовано практичну роль економічної експертизи у конструюванні засобів реагування, включно з висновками про неоднакову результативність різних типів зобов'язань і потребу у реалістичній перевірці їхньої виконуваності та здатності відновлювати конкуренцію. Окремо встановлено, що для України після повномасштабного збройного вторгнення російської федерації у лютому 2022 року добросовісна економічна експертиза набуває додаткового значення через воєнні шоки, дефіцити та логістичні розриви, які ускладнюють відокремлення об'єктивних витратних чинників від антиконкурентної поведінки.