bluuebunny/crossref_metadata_2025_split huggingface dataset:
COVID-19 Induced Supply Chain Disruptions and Automotive Industry: A Case Study of Maruti Suzuki India Limited and Mitigation Strategies
Authors: Sudan Tapas , Taggar Rashi 
Published: March 2022

The paper analyzed the impact of the COVID-19 pandemic induced supply chain disruptions (SCDs) on the Indian automotive industry (IAI) using a case study of Maruti Suzuki India Limited (MSIL), which share about 50% of automotive market in India and offered mitigation strategies and the SCDs recovery model. The study revealed that the IAI is unlikely to achieve its target for 2021-2022 due to pandemic induced SCDs and MSIL is no exception. The study revealed that in 2019-2020, the MSIL reduced its production several times to adjust dealers’ inventories in view of unprecedented economic slowdown and the prolonged domestic slump in automobile industry. In 2020-2021, MSIL is still facing severe disruption risks caused by the COVID-19 along with other OEMs in India and globally. In the first wave of the pandemic in India, MSIL production was totally halted and domestic sales were virtually zero in April 2020. During the second wave of the pandemic crisis in India, MSIL again experienced a severe fall in production and sales performance due to regional lockdown restrictions and SCDs. The rapid decline in production of MSIL has been mainly due to the pandemic induced lockdown and the SCDs in auto-components and halt in manufacturing activities. Therefore, robust mitigation strategies are needed to recover from the COVID-19 induced SCDs. The suggested model focused on the SCDs and risk management and offered the proactive and reactive responses for speedier readjustment of automotive industry from the COVID-19 pandemic induced SCDs. Ending the COVID-19 era and its impact on SCDs will not only depend on government policies, but also on proactive and reactive risk mitigation measures initiated by the firms. Robust measures should be taken to tackle the current supply chain threats in automotive sector to build the resilience of supply chain systems to safeguard them against business downturns.
Tutkimus INSPIRE-mittarin käytettävyydestä mielenterveystyössä
Authors: Tolonen Jonna , Tölli Sirpa , Kiviniemi Liisa 
Published: March 2022

Toipumisorientaatio (recovery-orientation) mielenterveystyössä on asiakkaan henkilökohtaista toipumista korostavan toiminnan viitekehys. Toipumisorientaatiossa mielenterveyttä tarkastellaan laajemmin kuin häiriön puuttumisena. Toipumisella käsitetään koko henkilökohtaisten asenteiden, arvojen, tunteiden ja taitojen muutosprosessia, jossa korostuu henkilön omakohtainen kokemus mielekkäästä elämästä. Yhteistyösuhteella työntekijän kanssa on tärkeä merkitys toipumiselle. INSPIRE-mittari on kehitetty yhteistyösuhteen laadun ja toipumista edistävän tuen arviointia varten. Tässä kuvatun tutkimuksen tarkoituksena oli arvioida INSPIRE-mittarin käytettävyyttä mielenterveystyössä asiakkaiden ja ammattilaisten näkökulmasta. Tavoitteena oli kuvata asiakkaiden ja työntekijöiden näkemyksiä INSPIRE-mittarin käytettävyydestä. Tutkimus toteutettiin mielenterveyskuntoutujien asumisyksikössä.
Tulokset osoittivat, että INSPIRE-mittari on hyödyllinen työkalu toipumisorientaation edistämisessä sekä asiakkaiden että työntekijöiden näkökulmasta. Asiakkaat kuvasivat mittarin sisältävän kysymyksiä heille merkityksellisistä asioista, kuten toimivasta yhteistyösuhteesta. Työntekijät kokivat INSPIRE-mittarin käytön vahvistavan heidän työskentelyssään toipumisorientoitunutta työotetta. Tulosten perusteella mittarin sisältöalueet tulevat ohjaamaan työntekijöiden työskentelyä asiakkaiden kanssa. Näin ollen mittari voi osaltaan olla edistämässä mielenterveystyön henkilöstön työskentelyä kohti toipumisorientaation mukaista työotetta.
ОСОБЕННОСТИ ПРИРОДНО-КЛИМАТИЧЕСКОГО ЗОНИРОВАНИЯ КОРМОВОЙ БАЗЫ ПЧЕЛОВОДСТВА АЛМАТИНСКОЙ ОБЛАСТИ
Authors: Нуралиева У.А. , Кусаинова* Ж.А. , Молдахметова Г.А. , Есентуреева Г.Д. 
Published: March 2022

Экологическая и экономическая значимость медоносной пчелы (Apis mellifera L.) обуславливает интерес к изучению различных аспектов биологии данного вида во всем мире. Мировое научное сообщество разрабатывает и реализует программу исследования медоносной пчелы в разных направлениях: к числу приоритетных исследований относятся поиск причин коллапса пчелиных семей, наблюдаемого в мире в течение последних лет; изучение общебиологических закономерностей и генетического разнообразия пчел разного происхождения (дифференциация медоносных пчел, относящихся к различным эволюционным ветвям, поиск порода-определяющих генетических вариантов и др.); исследование иммунитета и болезней пчел; особенности навигационной системы пчел.
Аналогично, можно предположить, что результаты, полученные для одного подвида медоносной пчелы, например, оценка биологических и генетических характеристик, зараженность паразитами и патогенами, хозяйственно-значимые показатели, но обитающего в различных природно-климатических условиях, а тем более для разных подвидов, будут отличаться. Так, подвид A. m. mellifera, обитающий в различных регионах, обладает высокой генетической гетерогенностью, поэтому экстраполяция результатов, полученных по одной популяции, на подвид в целом возможна только после их подтверждения другими исследованиями, проведенными на представителях других популяций. Таким образом, только накопление данных по спорным и актуальным вопросам изучения медоносной пчелы с учетом природно-климатических особенностей расположения пасек, географической локализации популяций 24 медоносной пчелы, происхождения пчелиных семей (эволюционная линия, подвид и/или экотип) и т.д., позволит выделить общие (универсальные) процессы и механизмы и специфические детали по вышеуказанным проблемам.
ТАМШЫЛАТЫП СУАРУ ЖАҒДАЙЫНДАҒЫ ЖҮГЕРІНІҢ ӨНІМДІЛІГІ
Authors: Оспанбаев* Ж. , Сембаева А.С. , Досжанова А.С. , Багжан А.Б. 
Published: March 2022

Бұл мақалада, еліміздің оңтүстік-шығыс аймағы жағдайында әр түрлі суғару технологиясымен өсірілген жүгері буданының өсіп-даму ерекшеліктері қарастырылған. Вегетациялық кезеңінде тәжірибе нұсқалары бойынша топырақтағы қоректену элементтерінің құрамының өзгеруі, жүгері будандарының биомассалық салмақтары, будандардың құрылымдық талдауы, фотосинтетикалық қасиеттері және өнімділігі зерттелген. Жүгерінің вегетациялық кезеңі бойынша орташа тәуліктік температура 3160,7°С құрады. Жүгерінің Порумбень 458 буданының вегетациялық кезеңде күннің энергиясы 1610 МДж/м2 болды. Нәтижесінде, 220,92 ц/га құрғақ биомассаның жинақталуын қамтамассыз етті. Суару әдістері ашық-каштанды топырақтардың агрохимиялық қасиеттеріне елеулі әсерін тигізді. Топырақтың егістік қабатындағы гумустың мөлшері 1,77-2,10 %, тұрақсыз қарашіріктің мөлшері – 0,095-0,251%, жеңіл гидролизденетін азоттың мөлшері – 102-135 мг/кг, нитраттардың мөлшері –15,2-31,5 мг/кг, жылжымалы фосфор мөлшері – 14,8-24,7 мг/кг, ал алмасатын калий мөлшері – 295-385 мг/кг шамасында ауытқыды. Қоректендіру элементтерінің осындай көрсеткіштері кезінде көрсетілген өнімділік – 12,0-14,6 т/га құрады.
Су үнемдеудің бірден-бір жолы тамшылатып суару технологиясын жаппай енгізу және осы жаңа технологияны пайдалануда диқандарға қолдау көрсету. Бұл технология ағын су тапшылығын сездірмейді, суды 3-4 есе үнемдеумен қатар, ылғал мен қоректік заттарды өсімдіктің тамырына дәл жеткізіледі.
Physics-Based Structural Health Monitoring Digital Twin for Seismically Vulnerable Fixed Offshore Structures
Authors: Bartholomew Edward Kawos @ , Lim Eu Shawn , Toloue Iraj , Liew Mohd Shahir , Danyaro Kamaluddeen Usman , Chan Kar Mun , Ling Seng Wah 
Published: March 2022

Abstract
An Autonomous Structural Health Monitoring (SHM) System for Fixed Offshore Structures is a tool used to monitor the state or the health of a structure in terms of its integrity and strength in an automated manner. An SHM system framework comprises of software and hardware integration equipped with IoT capability to collect raw data, online data transmittal to onshore, a back-end engine to process data into useful engineering information and display the monitoring results through engineering parameters and digital twinning, which emulates the real condition of the structure offshore. The prominent monitoring method for a structure's strength is through global monitoring, using structural modal properties as the measuring parameter to indentify a certain structure's global integrity, specifically using its natural frequency. This paper aims to layout the framework of an autonomous SHM system for global monitoring which is implemented onto a seismically vulnerable fixed offshore structure.
Synthesis of Zeolites from Production Sand Waste: The Circular Model for Oil and Gas Exploration and Production
Authors: Watcharasing Sunisa , Wattanakit Chularat , Salakhum Saros , Prasertsab Anittha , Kiattikomol Prapoj 
Published: March 2022

Abstract
This project aims to convert production sand waste from oil & gas exploration & production process to be high value silica-based product, Zeolites, and explore opportunities to lower amount of sand waste disposal to landfill. This is one key item in Circular Model for Oil & Gas Exploration & Production. Zeolites is a microporous crystalline aluminosilicate material, which possess a superior characteristic in terms of high surface area. Therefore, it is widely utilized in many industries such as adsorbent, ion exchange, and catalysts in oil refining and petrochemical industry.
In this work, various types of zeolites were synthesized from PTTEP production sand waste, to prove concept of turning sand waste to high value-added product, called zeolite. In normal operation, sand waste was sent to dispose as landfill about 50 Ton/annual. To synthesize zeolite from sand waste, there are three main steps, which are 1) Sand Pretreatment, 2) Silica Extraction, and 3) Zeolite Synthesis. Firstly, sand waste from petroleum production were pretreated by water and acid washing. Then, nanosilica was extracted out from pretreated sand by boiling the pretreated sand in NaOH solution at temperature 150 C for 4 hrs, then precipitate them to get the nanosilica substances. It was further used as a reactant source for zeolite synthesis. In the last step, the extracted silica was reacted with Structure Directing Agent (SDA); zeolite template, under optimal condition of hydrothermal treatment process to obtain zeolites product.
Zeolites synthesis from production sand waste was firstly initiated and successfully achieved in lab phase, to prove of concept for extracting silica source as a substance for zeolite synthesis. Various types of zeolites (Silicalite-1, ZSM-5, Faujasite (FAU), Mordenite, and Zeolite A) can be synthesized from PTTEP sand waste with synthesis yield 80%, 68%, 85%, 40%, and 81%, respectively. This indicates that silica source from production sand waste can be utilized as a reactant source for zeolites synthesis. The next phase of prototype unit is under design phase, to allow unit can be operated more versatile, and automatically run. From this novel technology, it is expected to reduce an amount of production sand waste disposal out from separator to landfill about 50 Ton/year. The synthesized zeolites from prototype phase will be further applied in many potential applications such as an adsorbent in wastewater treatment process, as catalyst, and moisture adsorbent in oil & gas dehydration unit. New findings and requirements discovered during the prototype test will be used to iteratively optimize and improve the design of the sand to zeolites process for future industrial-scale implementation.
Rapid Characterisation of Fractures and Reservoir Properties using Automatic History Matching: An Investigation of Different Production Performance in Hydraulically Fractured Wells in Sirikit Oil Field
Authors: Tripoppoom Sutthaporn , Pattarasinpaiboon Voramet , Wantawin Marut , Charoenniwesnukul Kritsada , Ngamkamollert Krit 
Published: March 2022

Abstract
Recently, many hydraulic fracturing has been executed in Sirikit oil field (S1), an onshore oil field in Thailand, to unlock the production from tight sands. However, production performances of each stimulated well were varied despite a similar fracturing technique. The variation may be due to different fracture geometry, fracture properties, and reservoir properties. Although these parameters are critical in optimizing fracturing design, they are unfortunately difficult to be quantified by analytical method, especially the diagnostic of hydraulic fracture after having actual production data.
To answer this question, we leveraged the automatic history match (AHM) scheme based on Neural Network-Markov Chain Monte Carlo (NN-MCMC). We utilized the production data to characterize fractures and reservoir properties and stochastically quantify their uncertainty.The framework is based on a practical and efficient iterative workflow that integrates four main stages: (1) Embedded Discrete Fracture Model (EDFM) preprocessing for the best fracture characterization over Local Grid Refinement (LGR), (2) multiphase fluid reservoir simulation, (3) neural network application for generating proxy models, and (4) proxy-based Markov Chain Monte Carlo (MCMC) algorithm for screening the best stochastic solutions.
Three wells from the same wellsite and hydraulic fracturing campaign were selected for a study. Uncertain parameters including hydraulic fractures geometry and properties, reservoir permeability, water saturation and relative permeability curves were included for automatic history matching. Rapid uncertainty quantification was completed by screening through 1 million realizations and proposed only 325 realizations to be validated with reservoir simulation.
The automatic history matching was executed and required running time less than a day for each well. The posterior distributions of uncertain parameters emphasizing most likely values and their uncertainty were obtained. The difference in fractures and reservoir properties were obtained. Also, the production forecast for each well can be performed probabilistically based on multiple history matching solutions.
The automatic history matching workflow could extract the valuable information of fractures and reservoir geometry from production data, which does not require any additional cost. This characterization of fracture geometry and properties, integrating with other methods, can help optimizing fracturing and improving completion design in hydraulically fractured wells in Sirikit oil field in the future.
Design Optimisation of Deep Pile Foundations Installed by Static Forces
Authors: Huisman Marco , Ottolini Marius , Cerfontaine Benjamin , Brown Michael John , Davidson Craig , Sharif Yaseen , Robinson Scott 
Published: March 2022

Abstract
This paper presents preliminary experimental and analytical investigations of the push-in pile concept, which aims at installing piles in the offshore environment without significant underwater noise. The concept replaces a large diameter pile with a cluster of closely spaced smaller piles. The piles are installed progressively by cycles of jacking. During each cycle, a pile is successively pushed downwards or moved upwards while used as a reaction pile. This process was physically modelled in a geotechnical beam centrifuge and a predictive model was developed and calibrated against these tests. A parametric study was then undertaken to optimise the cluster design and reduce the tool weight necessary to achieve a given installation depth or cluster capacity. Smaller pile diameters are more beneficial to reduce the necessary tool weight during the cluster installation, but require considerably longer piles to achieve the target capacity. The full optimisation of a cost-effective pile cluster will require additional constraints, such as the lateral capacity (not investigated here) and expected installation time.
A Modelling Study of Hamakaze Fowt
Authors: Teo Wei Ywin , Ong Paul Pang Awn 
Published: March 2022

Abstract
Offshore wind farms are venturing into deeper water, where wind is steadier and stronger, to tap on more wind energy. The installation of wind turbines in deeper waters requires the use of a floating wind turbine. Designing the floating platforms is challenging as dynamic effects waves, wind, and currents, have to be considered. Hydrodynamic behaviours can only be modelled accurately in time domain analysis, which requires an immense computational effort, when several load cases are taken into consideration. A more efficient approach is to first conduct stability analysis to identify the modal frequencies, and subsequently carry out time domain analysis using those modal frequencies.
This paper describes a static study and time domain analysis on an innovative offshore spar turbine with hulls. Ansys Aqwa, a finite-element software, is used to study a model proposed by Mitsubishi Heavy Industries. The key objective is to explore a more cost-effective offshore platform by investigating the relationship between the geometry of hulls and the responses of the platform.
CFD-Based Simulations of Hydrodynamic Behaviors of a Floating Barge Near Shore
Authors: Teng YihJeng , Tan Jaime HuiChoo 
Published: March 2022

Abstract
This paper presents Computational Fluid Dynamics (CFD)-based simulations of the hydrodynamic behaviors of a floating barge in shallow waters on an inclined seabed near shore. The hull hydrodynamic behaviors with respect to water depth are quantified by evaluation of the hydrodynamic coefficients, i.e., added mass, viscous damping coefficients, and current drag coefficients, which are required for the prediction of hull motion responses and mooring loads of the barge. CFD simulations are performed to predict the hull hydrodynamic coefficients with consideration of the actual seabed conditions, including water depth and varying bathymetry. Added mass and viscous damping coefficients are calculated using forced harmonic oscillations, while current drag coefficient is obtained using steady current flow simulation. These hydrodynamic coefficients are calculated for three of the six degrees of freedom (DOFs), i.e., surge, sway, and yaw of the hull.
By considering three different nearshore water depths with a flat seabed and two inclined seabeds, the hull added mass, viscous damping, and current drag coefficients are quantified and compared against the coefficients in deepwater conditions. The hydrodynamic coefficients are found to be significantly affected by shallow water depths. Overall trends show exponential increase of added mass and viscous damping coefficients as water depth reduces. There is a further linear increase in the coefficients when the seabed bathymetry changes from flat to inclined, particularly when the water depth to hull draft ratio is less than 4.50. Similarly, current drag coefficients increase with decreasing water depths for flat seabed conditions, while for inclined seabed conditions, they may increase or decrease depending on the directions with respect to the shore and the current heading.
This paper demonstrates the efficiency of CFD simulations in predicting a floating barge’s hydrodynamic behaviors in shallow water conditions, including varying nearshore bathymetry and viscous effects. The CFD simulation methodologies presented may be extended for the hydrodynamic behavior assessments of other nearshore floating structures such as Floating Offshore Liquefied Gas Terminals (FLGTs), Floating Storage and Regasification Units (FSRUs), and floating wind turbine structures.
Internal Sound Pressure Level Estimation Considering Design Through Computational Aeroacoustics
Authors: Macchion Olivier Jean , Stachyra Leszek Lukasz , Morand Henri 
Published: March 2022

Abstract
Subsea chokes differ from the standard choke designs that can be found in for example the IEC 60534-8-3 standard, due to their geometry but also due to the environment. Contrary to topside chokes where monitoring for sound and vibration can be carried out in a relatively straightforward manner, noise and vibration monitoring is not easily executed subsea, which means that the estimate of the generated noise needs to be calculated, or extrapolated in some way from lab data.
Computational methods to validate designs often provide an alternative method to physical validation testing when size or recreating particular environments are impractical. However, to be able to use computational analysis for this purpose, it is essential to ensure that a sound and benchmarked methodology is applied. This paper discusses an optimized methodology that combines Computational Aeroacoustics and IEC 60534-8-3 for the estimation of the internal sound pressure level (SPL) generated by choke valves.
Three broad types of tools (all broadband models) are available to estimate hydrodynamic induced SPL, namely: 1) one-way coupled Computational Fluid Dynamics (CFD), 2) acoustic solvers, 3) two-way coupled CFD and acoustic solvers, also called Computational Aeroacoustics (CAA) solvers. Out of these three types, CAA accounts for both the geometry of the equipment generating the internal SPL, but also models the complex interaction between hydrodynamics and acoustics, including tones generated by cavities. While the advantage in terms of output is significant, CAA comes at a large computational cost due to the requirements in space and time discretization that must be satisfied to properly resolve the frequency range from 12.5 Hz to 20 kHz.
The CAA methodology presented in this paper is validated against two sets of data obtained in laboratory conditions for Mach numbers ranging from 0.08 to 0.36. Then the same methodology is applied to the specific design of the choke valve. The obtained outputs in form of an acoustical efficiency and peak frequency are then used to tune the IEC 60534-8-3 method, this allows accurate estimation of internal SPL for the given geometry. The combination of the CAA and IEC enables efficient consideration of the actual geometry of the choke with regards to internal SPL prediction against a wider range of conditions without requiring a larger set CAA calculations.
The methodology presented in this paper can be applied to similar problems ensuring faster and more accurate results compared to the other available industry practices like physical testing.
NLRC4 Deficiency Leads to Enhanced Phosphorylation of MLKL and Necroptosis
Authors: Sundaram Balamurugan , Karki Rajendra , Kanneganti Thirumala-Devi 
Published: March 2022

Abstract
Hosts rely on the innate immune system to clear pathogens in response to infection. Pathogen-associated molecular patterns bind to innate immune receptors and engage activation of downstream signaling to initiate a host immune response to fight infection. A key component of this innate response is programmed cell death. Recent work has highlighted significant cross-talk and functional redundancy between cell death pathways, leading to the discovery of PANoptosis, an inflammatory programmed cell death pathway dependent on PANoptosomes, which are innate immune danger-sensing complexes that activate inflammatory cell death and contain caspases with or without inflammasome components and receptor interacting protein homotypic interaction motif–containing proteins. Although PANoptosis has been characterized in response to a growing number of pathogens, inflammatory diseases, and cancer, its role and the functional consequences of PANoptotic component modulation during NLR family CARD domain-containing protein 4 (NLRC4) activation by Pseudomonas aeruginosa infection remain unknown. In this study, we show that P. aeruginosa can induce PANoptosis in mouse bone marrow–derived macrophages (BMDMs). Only the combined deletion of caspase-1, -11, -8, and RIPK3 protected mouse BMDMs from cell death. Moreover, we showed that PANoptotic components act in a compensatory manner; in the absence of NAIP5 and NLRC4 during P. aeruginosa challenge, activation of caspase-1, -3, -7, and -8 was reduced, whereas alternative cell death molecules such as RIPK1 and MLKL were activated in mouse BMDMs. Taken together, these data highlight the extensive cross-talk between cell death signaling molecules and showcase the plasticity of the system.