bluuebunny/crossref_metadata_2025_split huggingface dataset:
Poissonian pair correlation for higher dimensional real sequences
Authors: Bera Tanmoy , Das Mithun Kumar , Mukhopadhyay Anirban 
Published: September 2024

AbstractIn this article, we examine the Poissonian pair correlation (PPC) statistic for higher dimensional real sequences. Specifically, we demonstrate that for , almost all , the sequence in has PPC conditionally on the additive energy bound of . This bound is more relaxed compared to the additive energy bound for one dimension as discussed in [Aistleitner, El‐Baz, and Munsch, Geom. Funct. Anal. 31 (2021), 483–512]. More generally, we derive the PPC for for almost all . As a consequence we establish the metric PPC for provided that all of the are greater than two.
БИОМЕТРИЧЕСКИЕ ПАРАМЕТРЫ СЕМЯН КАК ПРАКТИЧЕСКИЙ МЕТОД ИДЕНТИФИКАЦИИ РЕДКИХ ВИДОВ РОДА TULIPA L. (LILIACEAE JUSS.) ИЗ ВОСТОЧНО-КАЗАХСТАНСКОЙ ОБЛАСТИ (КАЗАХСТАН)
Authors: Сумбембаев А.А. , Данилова А.Н. 
Published: September 2024

Род Tulipa L. – один из наиболее крупных в семействе Liliaceae Juss., ареал которого имеет огромную протяженность с запада на восток, от Португалии и северных районов Африки через весь евразийский континент до южных островов Японии.
Учитывая такие лимитирующие факторы, как узкая экологическая амплитуда вида и антропогенное влияние, многие виды тюльпанов, в том числе Tulipa biflora Pall., T. patens Agardh ex Schult. & Schult. fil, T. uniflora (L.) Bess. еx Baker, T. heteropetala Ledeb., произрастающие на территории Восточного Казахстана, включены в Красную книгу Казахстана, а T. altaica Pall. имеет охраняемый статус в сопредельном регионе – Алтайском крае.
Исследование морфологии семян у Tulipa patens, T. altaica, T. biflora, T. uniflora, T. heteropetala, собранных в 31 популяциях, из разных эколого-географических условий в исследуемом регионе, позволило выявить морфологические параметры, характеризующие наружные и внутренние признаки семян тюльпанов, для практического использования при выяснении систематических связей этого рода и определения видовой принадлежности. Были проведены промеры длины, ширины и толщины семян в 20-кратной повторности, а также определена масса 1000 шт. семян. Кроме того, изучены такие признаки семян как цвет семян, форма семян, поверхность тесты, состояние микропиле, халазальный конец, семенной рубчик, строение и поверхность рафе, эндосперм и зародыш.
Установленные морфологические признаки семян позволили разработать определительный ключ видов рода Tulipa Восточного Казахстана.
Ключ для определения видов рода тюльпан (Tulipa L.) Восточного Казахстана по биометрическим параметрам семян:

Семена заметно утолщенные в базальной части, искривленно-ладьевидной формы; носик семени и халаза повернуты в сторону рафе; семенная кожура продольно-бороздчатая; халазальный конец поперечно-бороздчатый T. uniflora (L.) Bess. Ex Baker.

– Семена, характеризующиеся другими признаками. 2

Семена довольно-крупные, до 7 мм в длину, с заметно вытянутым носиком; теста мелкожильчатая; халазальный конец гладкий 2. T. altaica Pall. ex Spreng.

– Семена мелкие, без удлиненного кончика; халазальный конец шероховатый (бугорчато-морщинистый) 3

Семенная кожура мелкоребристая; семенной зародыш сильно изогнут в сторону рафе T. biflora Pall.

– Семенная кожура шероховато-морщинистая; зародыш прямолинейной формы 4

Семена коричневого цвета; семенной рубчик выступающий, продольно-щелевидной формы; рафе имеет гладкую поверхность T. patens Agardh ex Schult. & Schult. fil.

– Семена от охряного до красновато-бурого цвета; семенной рубчик вогнутый, элипсоидальной формы; рафе бороздчатое. T. heteropetala Ledeb.
Научное исследование проведено в рамках НТП BR18574125 «Изучение современного состояния видового разнообразия сосудистых растений Казахстана с использованием современных методов ботаники, молекулярной генетики и биоинформатики» на 2022-2024 гг.
СКРИНИНГ БИОЛОГИЧЕСКОЙ АКТИВНОСТИ ЭКСТРАКТА DACTYLORHIZA FUCHSII (DRUCE) SOO ЦЕНТРАЛЬНО-КАЗАХСТАНСКОГО МЕЛКОСОПОЧНИКА
Authors: Халымбетова А.Е. , Мухтубаева С.К. , Искакова Ж.Б. , Абиев С.А. 
Published: September 2024

Орхидеи тысячелетиями использовались в качестве лекарственного средства для лечения различных заболеваний и недугов, включая инфекционные заболевание дыхательных путей, паралич, расстройства желудка, экзему, опухоли, воспаления, нарушение менструального цикла, сперматорея и т.д.
Орхидеи, как и другие растения, производят большое количество фитохимических веществ. Лишь некоторые из них были исследованы на предмет их биологических функций, остальные до сих пор неизвестны. Фитохимические вещества орхидей обычно делятся на алкалоиды, флавоноиды, каротиноиды, антоцианы и стерины. Хотя орхидеи издавна использовались и используются в качестве лекарственных средств во всех частях света, фармакологические и токсикологические исследования фитохимических веществ орхидей очень редки, что необходимо для клинического применения.
Целью работы явилось изучение цитотоксической активности этилацетатного экстракта корней Dactylorhiza fuchsii (Druce) Soo.
В настоящем исследовании экстракты подземной части D. fuchsii различной концентрации (1, 5, 10 мкг/мл) были проверены на цитотоксическую активность в отношении Artemia salina.
Для определения цитотоксической активности, 20-40 личинок помещали в 990 мл морской воды в каждой из 24 микроплашек. Подсчитывали мертвых личинок под микроскопом. Добавляли по 10 мл раствора диметилсульфоксида на 10 мг/мл образца. В качестве препарата сравнения использовали актиномицин Д. Для отрицательного контроля добавляли только 10 мл диметилсульфоксида. После 24 ч инкубации и дальнейшем выдерживании микроплашки в течение 24 ч (для обеспечения неподвижности) посчитывали мертвые личинки под микроскопом. Эта методика основана на установлении различия между количеством погибших личинок в анализируемой пробе (опыт) и воде, которая не содержит токсических веществ (контроль). Критерием острой летальной токсичности раствора вещества является гибель 50% личинок и более в опыте по сравнению с контролем. Разведение производили из расчета 1мг вещества на 1мл растворителя. Проводили при температуре 20 20С, естественном световом периоде. Соленность контрольной искусственной воды равна 8,0-8,5 (рН).
Для получения экстракта была использована подземная часть растения. Этилацетатный экстракт подземной части D. fuchsii не показали цитотоксическую активность против личинок A. salina. Смертность личинок в концентрации 1 мг/мл – 16%, в 5 мг/мл – 20%, а в 10 мг/мл – 26%. Наши результаты дают основание для дальнейшего изучения D. fuchsii с целью потенциального поиска новых химических соединений с терапевтическими противораковыми свойствами. Выяснение механизма действия, которым обусловлены эти противораковые свойства идентифицированных соединений, и их оптимизация с целью достижения лекарственной эффективности и безопасности имеют огромное значение в будущем.
Bayesian Data Assimilation in Cold Flow Experiments on an Industrial Thermoacoustic Rig
Authors: Zheng Jingquan , Fischer André , Lahiri Claus , Yoko Matthew , Juniper Matthew P. 
Published: September 2024

Abstract
We assimilate experimental data from nonreacting flow in the SCARLET (SCaled Acoustic Rig for Low Emission Technologies) test rig using physics-based Bayesian inference. We model the complex geometry of the combustor with a qualitatively accurate one-dimensional low-order network model. At the first level of Bayesian inference, we assimilate experimental data to optimize the parameter values by minimizing the negative log posterior probability of the parameters of each model, given the prior assumptions and the data. At the second level of inference, we find the best model by comparing the marginal likelihoods of candidate models. We apply Laplace's method accelerated with first and second order adjoint methods to assimilate data efficiently. The first order adjoint is used for rapid data assimilation and optimization. The first and second order adjoints are used for inverse uncertainty quantification. We propose six candidate models for the burner and select the model with most evidence given the data. This produces an improved physical model of the rig, with known uncertainties.
Equivalence Ratio-Driven Flame Response of an Industrial Premixed Burner: Experiments and Modeling
Authors: John Tony , Magina Nicholas , Han Fei , Kaufmann Jan , Vogel Manuel , Sattelmayer Thomas 
Published: September 2024

Abstract
This paper presents an analysis of the unsteady heat release rate response of premixed flames to equivalence ratio perturbations for an industrial premixed swirl-based burner. During this investigation, perfectly and technically premixed flames were acoustically forced via fuel/air mixture flow and air flow modulations, respectively, at the same operating conditions. From the resulting flame transfer functions (FTFs), measured using the multimicrophone method, the equivalence ratio driven FTF was isolated and extracted by removing the velocity driven component, i.e., the measured FTF from the perfectly premixed flame, from the technically premixed FTF with two novel extraction techniques. The results are compared with FTFs obtained directly in a previous experimental campaign where the fuel flow was acoustically forced, the resulting equivalence ratio fluctuations measured via an infrared absorption technique, and the heat release rate response to the forcing was quantified using chemiluminescence measurements. The results from both measurement approaches agreed well highlighting the validity of the techniques. Further, to understand the governing features of the equivalence ratio driven FTF, a physics-based analytical model following the G-equation approach was developed. The contributions from flame surface area, flame speed, and heat of reaction oscillations were modeled to describe the heat release rate dynamics. A limited number of physical parameters in the analytical model were anchored on one test condition, optimized and restricted to values, which were all physically reasonable, and were subsequently used for model predictions at other operating conditions. The FTF model predictions compared well with experimental data across a range of different operating conditions. Finally, the relative contributions from flame surface area, flame speed, and heat of reaction oscillations on the features of the FTFs were identified and explored.
Ball Bearing Dynamic Stiffness Prediction Considering an Uncertain Position of Rolling Elements
Authors: Kochurov Roman , Martynenko Volodymyr , Moroz Leonid , Govorushchenko Yuriy 
Published: September 2024

Abstract
This paper considers the challenge of calculating accurate ball bearing stiffness, which is attributed to the uncertainty in the rolling element positions; and it solves that issue based on the simultaneous consideration of these positions and the physical effects of the rotating components. The novelty of the paper consists of the suggested methodology to resolve the uncertainty of the rolling element circumferential position when calculating bearing stiffness. The problem is solved through various formulations of dry and lubricated contact and validated based on the consideration of the finite-element (FE) model. The algorithms presented in the paper allow for the calculation of the resulting stiffness based on the stiffness values evaluated through different ball bearing positions. The approach presented in the paper is validated based on the experimental data. For this purpose, the model of the rotor in ball bearings is built, along with further calculation of the rotor dynamics. The comparison of the critical speeds calculated for the rotor in bearings, which have stiffness evaluated by the proposed approach with the measurements for the real machine, indicates a high accuracy of the suggested method in comparison with the methods that consider the single position of the rolling element when estimating their stiffness. In the paper, further recommendations for the use of the presented method are given, which will be useful for engineers in the field of turbomachinery dynamics.
Robust Controller Development Via Iterative Model Updating for Active Magnetic Bearing Rotor Systems
Authors: Donati Giovanni , Neri Massimiliano Ortiz , Mugnaini Marco , Basso Michele , Sawicki Jerzy T. 
Published: September 2024

Abstract
Modern turbomachinery equipped with active magnetic bearings (AMBs) requires increasingly high-performance controllers to ensure safe and efficient operations. These controllers are typically tuned based on frequency responses, or in more advanced cases based on the plant models. However, effects such as interference fits and shrink fits can significantly impact rotor dynamics, reducing the accuracy and reliability of these models. This study proposes a novel model updating method to deal with problems related to practical applications of model-based controllers. First, this paper presents an iterative model updating method based on an optimization algorithm to adjust the finite element (FE) model of complex rotors used in oil and gas applications, exploiting frequency measurements from the actual rotor. Subsequently, the proposed iterative updating method is utilized to develop a set of rotor models that differ only for some designed rotor modal shapes that are not well identified by the rotor frequency measurements. This set of rotor models is then exploited by a nonsmooth optimization algorithm to synthesize a robust controller—an augmented PID—optimized to ensure a specified level of performance across all scenarios described by the developed set of rotor models, thereby guaranteeing safe operations over time.
A Data Driven Black Box Approach for the Inverse Quantification of Set-Theoretical Uncertainty
Authors: Bogaerts Lars , Faes Matthias G.R. , Moens David 
Published: September 2024

Abstract
Inverse uncertainty quantification commonly uses the well established Bayesian framework. Recently, alternative interval methodologies have been introduced. However, in their current state of the art implementation, both techniques suffer from a large and usually unpredictable computational effort. Thus, both techniques are not applicable in a real-time context. To achieve a low-cost, real-time solution to this inverse problem, we introduce a deep-learning framework consisting of unsupervised auto-encoders and a shallow neural network. This framework is trained by means of a numerically generated dataset that captures typical relations between the model parameters and selected measured system responses. The performance and efficacy of the technique is illustrated using two distinct case studies. The first case involves the DLR AIRMOD, a benchmark case that has served as reference case for the inverse uncertainty quantification problem. The results demonstrate that the achieved accuracy is on par with the existing interval method found in literature, while requiring only a fraction of its computational resources. The second case study examines a resistance pressure welding process, which is known to require extremely fast monitoring and control due to the high process throughput. Based on the proposed method, and with only a limited selection of simulated responses of the process, it is possible to identify the interval uncertainty of the crucial parameters of the process. The computational cost in this case makes it possible for an inverse uncertainty quantification in a real-time setting.
A FMEA Optimization Method Based on TODIM and Best Worst Method-Water Filling Theory in Pythagorean Fuzzy Language Environment for Reliability Assessment of Industrial Robot
Authors: Pang Jihong , Dai Jinkun 
Published: September 2024

Abstract
In view of the shortcomings of traditional failure modes and effects analysis (FMEA) in risk evaluation language, weight information, risk priority number (RPN), this paper proposes an FMEA optimization method. First, using the Pythagorean fuzzy language as the evaluation language, the hesitation psychology of the evaluator is truly reflected. Then, the best worst method (BWM) is used to calculate the weight of the evaluator, it can reduce the number of pairwise comparison evaluations. Second, water filling theory (WFT) uses mean values instead of extreme values to determine the discreteness of evaluation information, which is more consistent with FMEA. Therefore, WFT is used to calculate the weight of influencing factors. Finally, the tomada de-decisao iterativa multicriterio (TODIM) method is used for compromise calculation to obtain the risk ranking of failure modes. Compared with RPN, TODIM can avoid the situation that the failure mode scores are the same. At the end of the paper, the robustness and superiority of the new method are verified by taking the reliability assessment of reversing system of industrial robots as an example.
Dietary Calcium-to-Phosphorous Ratio, Metabolic Risk Factors and Lipid Accumulation Product, Skeletal Muscle Mass, and Visceral Fat Area Among Healthy Young Individuals
Authors: Jin Xuanshang , Jin Xiangchuan , Guan Wen , Tang Maolin 
Published: September 2024

Background: Numerous studies have revealed the role of low dietary calcium-to-phosphorous ratio and low bone health. However, its possible role in visceral adiposity, skeletal muscle mass (SMM), and metabolic parameters has not been investigated before. Therefore, the aim of the current cross-sectional study was to evaluate the relation between dietary calcium-to-phosphorous ratio, metabolic risk factors, SMM, and visceral fat area (VFA) among physically active young individuals. Methods: In the current study, the sample was composed of 391 healthy young individuals (e.g., 205 men and 186 women), aged between 20 and 35 years old, who were engaged in moderate physical activity for at least 4 hr per week and were recruited thorough cluster sampling from seven sport clubs. Anthropometric measurements were performed, and VFA and SMM index (SMI) were calculated. Biochemical assays were also performed by standard kits. Data were analyzed by one-way analysis of variance, analysis of co-variance, and multinomial logistic regression analysis using SPSS software. Results: Those in the fourth quartile of dietary calcium-to-phosphorous ratio were more likely to have lower VFA (odds ratio [OR] = 0.98; 95% confidence interval [CI] [0.97, 0.99]; p = .023) and a nonsignificantly higher SMI (OR = 1.15; 95% CI [0.99, 1.34]; p = .058) after adjustment for the effects of confounders (e.g., age, gender, body mass index, physical activity level, dietary energy intake). Also, being in the third quartile of dietary calcium-to-phosphorous ratio made the subjects more susceptible to have lower insulin concentration (OR = 0.99; 95% CI [0.88, 0.93]; p = .026) in the adjusted model. Conclusion: The findings of the current study revealed that a higher dietary calcium-to-phosphorous ratio in the habitual diet was negatively associated with visceral adiposity and insulin concentrations and higher SMM among physically active young individuals. Further interventional studies are required to confer causality that was not inferable in the current study because of cross-sectional design.
Agility Ladder Training Combined With Plyometric or Multidirectional Speed Drills: Short-Term Adaptations on Jump, Speed, and Change of Direction Performance in Young Female Volleyball Players
Authors: Bassa Eleni , Lola Afroditi C. , Melliou Alexandra , Prassa Maria , Stavropoulou Georgia , Ziogas Nikolaos 
Published: September 2024

Purpose: The aim of this study was to investigate the effect of agility ladder training combined with plyometric or multidirection speed drills, on performance in young female volleyball players. Methods: Seventy-six young female volleyball players were randomly distributed into 3 maturity-matched groups: (1) the agility ladder + plyometric drills group, (2) the agility ladder + multidirection speed drills group, and (3) the control group. Both experimental groups followed a 6-week training program, twice weekly, in addition to the regular volleyball training sessions, while the control group participated only in the regular volleyball training sessions. Assessments pretraining and posttraining included countermovement jump, 20-m sprint, and agility T test. Results: Both experimental groups improved T-test performance (P < .005) but only agility ladder + multidirection speed drills group outperformed the control group (P < .05). Conclusions: Agility ladder training programs combined with either plyometric or speed drills can improve change of direction performance in young female volleyball players but only the combination of agility ladder with multidirection speed drills is more effective than volleyball training per se. The small effectiveness of these protocols may be attributed to the short training period, or to the fact that training elements were combined in a single session. This hypothesis remains to be further investigated.
Synergistic blockade of TIGIT and PD-L1 increases type-1 inflammation and improves parasite control during murine blood-stage
Plasmodium yoelii
non-lethal infection
Authors: Dookie Rebecca S. , Villegas-Mendez Ana , Cheeseman Antonn , Jones Adam P. , Barroso Ruben , Barrett Jordan R. , Draper Simon J. , Janse Chris J. , Grogan Jane L. , MacDonald Andrew S. , Couper Kevin N. 
Published: September 2024

ABSTRACT

Pro-inflammatory immune responses are rapidly suppressed during blood-stage malaria but the molecular mechanisms driving this regulation are still incompletely understood. In this study, we show that the co-inhibitory receptors TIGIT and PD-1 are upregulated and co-expressed by antigen-specific CD4
+
T cells (ovalbumin-specific OT-II cells) during non-lethal
Plasmodium yoelii
expressing ovalbumin (
Py
NL
-OVA
) blood-stage infection. Synergistic blockade of TIGIT and PD-L1, but not individual blockade of each receptor, during the early stages of infection significantly improved parasite control during the peak stages (days 10–15) of infection. Mechanistically, this protection was correlated with significantly increased plasma levels of IFN-γ, TNF, and IL-2, and an increase in the frequencies of IFN-γ-producing antigen-specific T-bet
+
CD4
+
T cells (OT-II cells), but not antigen-specific CD8
+
T cells (OT-I cells), along with expansion of the splenic red pulp and monocyte-derived macrophage populations. Collectively, our study identifies a novel role for TIGIT in combination with the PD1-PD-L1 axis in regulating specific components of the pro-inflammatory immune response and restricting parasite control during the acute stages of blood-stage
Py
NL infection.