bluuebunny/crossref_metadata_2025 huggingface dataset:
МАЙБҰРШАҚ ЕГІСТІГІ ЖАҒДАЙЫНДА КӘДІМГІ СҰР ТОПЫРАҚТАРДЫҢ ЫЛҒАЛ ҚОРЫ ЖӘНЕ СУ- ФИЗИКАЛЫҚ ҚАСИЕТТЕРІНЕ СУАРУ РЕЖИМІН ОҢТАЙЛАНДЫРУДЫҢ ӘСЕРІ
Authors: Бейсенбаева Маусымжан , Жаппарова Айгул , Сыдық Досымбек , Караева Карлыга , Кусаинова Майра , Закиева Арайлы
Published: October 2024

Мақалада Қазақстанның оңтүстіктігінің құрғақ және ыстық климатында майбұршақ дақылының өсуі мен дамуының әртүрлі фазаларында минералды, микроминералды тыңайтқыштар мен өсу стимуляторларының әртүрлі нормаларымен үйлестіре отырып, суарудың және отырғызудың нақты мерзімдері, саны және схемасы эксперименталды түрде анықталды. Зерттеу барысында тәжірибе танабының екі метрлік тереңдік (0-200 см) топырақтың су және физикалық құрлымы кестеде келтірілген 2019 жылғы зерттеулер нәтижесінде алынған деректерге сәйкес топырақ қуыстылығы 41,8-42,8% құрады, шекті гигроскопиялық көрсеткіші 4,56-4,70 %, көлемдік массасы жер жырту қабатында 1,47-1,54 г/см3 деңгейінде өзгергендігі анықталды. Майбұршақтың вегатациялық өсіп-даму кезеңінде суару режимін 70-70-70 % ең төменгі ылғал сиымдылығы деңгейінде қалыпты ұстау үшін 8 рет суарылды. Сол кезеңдегі ауа райына байланысты кезекті суару 14-17 тәуліктен соң жүргізіліп отырды. Жалпы жұмсалған ағын су мөлшері 5450 м3/га құрады. Топырақ ылғалдылығын 70-80-70% ең төменгі ылғал сиымдылығы деңгейінде ұстап тұру үшін майбұршақ дақылының өсіп даму кезеңінде тоғыз рет суарылды- жалпы жұмсалған ағын су мөлшері 4600 м3/га болды. Ал, майбұршақтың вегетациялық кезеңдерінде жиналған ылғал қорының жинақталуы бойынша бір метр тереңдіктегі ылғал мөлшері 190,6-84,1 мм аралығында ауытқыды.
OBTAINING TRANSGENIC POTATO PLANTS FOR COUNTERING PHYTOPHTHORA INFESTANS VIA “HIGS” METHOD IMPLEMENTATION
Authors: Nizkorodova Anna , Kryldakov Ruslan , Karimov Nurlybek , Polimbetova Nailya , Iskakov Bulat
Published: October 2024

Oomycetes are a group of organisms that include some of the most dangerous plant pathogens capable of causing epiphytoties that lead to reduced crop yields and famine in some countries. The only available method of combating them – repeated application of fungicides in fields and careful selection of seed material – is ineffective for most of these pathogens. This paper proposes to use the HIGS (host-induced gene silencing) approach so that genetically modified plants, when infected with late blight, would cause the pathogen to silence its effector protein genes, which would prevent the pathogen from growing and reproducing in plant.
To implement the HIGS method against the pathogen Phytophthora infestans, we developed two genetically engineered constructs, one of which uses the P. infestans RXLR-effector gene AVR3a-b as the RNA interference target, and the other uses a region of the PITG_03155 effector gene, which is conserved for both P. infestans and P. cactorum. After Agrobacterium-mediated genetic transformation of potato plants, we obtained four transgenic plants carrying a construct based on the AVR3a-b gene (two each of the “Milena” and “Gala” varieties) and one of “Milena” variety carrying a construct based on the PITG_03155 gene. These plants will be micro clonally propagated and tested for the presence of interfering RNA to the effector genes of P. infestans, after which the plant lines are planned to be planted under natural pathogenic background conditions and a comparative analysis with control plants for disease incidence and resistance will be conducted.
ОСОБЕННОСТИ ФОРМИРОВАНИЯ АССИМИЛЯЦИОННОЙ ПОВЕРХНОСТИ ГРЕЧИХИ ПОСЕВНОЙ В УСЛОВИЯХ АКМОЛИНСКОЙ ОБЛАСТИ
Authors: Волобаева Вера , Коберницкий Владимир
Published: October 2024

В статье приведены результаты исследования особенностей формирования площади листовой поверхности гречихи посевной (Fagopyrum esculentum Moench) в процессе онтогенеза. Наблюдения за развитием растений осуществлялось на протяжении всего периода вегетации. Бурный рост ассимиляционной поверхности растений гречихи отмечен в течении вегетативного периода растений. Наблюдался плавный переход от нарастания зеленой массы к цветению и формированию плодов. Выявлены биотипы гречихи, обладающие относительной скороспелостью, которая заключается в дружности созревания плодов во второй период вегетации. На продолжительность вегетативного и генеративного периодов сильное влияние оказывали условия внешней среды - сумма положительных температур и количество выпавших осадков. В условиях короткого безморозного периода Акмолинской области при создании новых сортов особую ценность приобретают биотипы, созревающие до наступления осенних заморозков. Для более качественной оценки продуктивности ассимиляционного процесса и нарастания площади листьев использованы различные методы измерений. Наиболее информативным и доступным при проведении исследований оказался метод линейных измерений.
Генеративный период у гречихи как правило более продолжителен и характеризуется большим количеством процессов, идущих параллельно с созреванием растений: формирование листьев, побегов, зерна и нарастанием общей биомассы. Поэтому трудно зафиксировать четкое наступление или окончание различных фаз развития растений. Кроме этого, из-за внутрисортовой изменчивости у каждой сортолинии можно выделить различные биотипы с отдельными отклонениями периодов онтогенеза в ту или иную сторону.
Изучение площади ассимиляционной поверхности листьев в процессе вегетации позволило отобрать биотипы культуры различающиеся по темпу прохождения фаз развития, установить зависимость между площадью листьев и зерновой продуктивностью. Выделены биотипы гречихи 72-06.06, 78-05.18, 63-11.26 сочетающие в себе оптимальное соотношение ассимиляционной поверхности, зерновой продуктивности и крупности плодов.
МИКРОКЛОНАЛЬНОЕ РАЗМНОЖЕНИЕ МИНДАЛЯ ОБЫКНОВЕННОГО (PRUNUS DULCIS MILL) ДЛЯ ВОССТАНОВЛЕНИЯ РЕГРЕССИРУЮЩИХ ПОПУЛЯЦИЙ
Authors: Турдиев Тимур , Байжуманова Сауле , Емешева Камила , Михайленко Наталья , Ковальчук Ирина
Published: October 2024

Миндаль известен не только по своему экономическому значению, но и благодаря своей способности адаптироваться к сложным факторам окружающей среды, таким как: жара и засуха, присутствующим в регионе их произрастания.
На территории Республики Казахстан миндаль обыкновенный относится к исчезающим популяциям, что обуславливает необходимость их восстановления и сохранения. Для восстановления регрессирующих популяций миндаля обыкновенного в Казахстане впервые разработана технология размножения в культуре in vitro, что позволяет ускоренно и в массовом количестве получать посадочный материал, в то же время, не нанося вреда материнским деревьям.
Для получения асептических растений лучше использовать пророщенные из одревесневших черенков зеленые побеги с 2-3 почками. Эффективный способ стерилизации от сапрофитной микрофлоры – последовательная обработка водным раствором отбеливателя «Белизна» (1:1) в течение 10 мин, раствором 0,1% HgCl2 5 мин, 3 раза стерильной дистиллированной водой. Оптимальная среда для введения in vitro – МС без гормонов, для клонального микроразмножения – МС, содержащая 1,0 мг/л БАП, 0,02 мг/л ИМК и 30 г/л сахарозы. При этом коэффициент размножения достигает в среднем 2,8, а длина побегов за 4-6 недель – 5,0-6,3 см.
GENOMIC EVALUATION OF FEED CONVERSION TRAIT IN DUROC PIGS
Authors:   Federal Research Center for Animal Husbandry named after academy member L.K. Ernst, BELOUS А.А. , OTRADNOV P.I. ,   Federal Research Center for Animal Husbandry named after academy member L.K. Ernst, ZINOVIEVA N.A. ,   Federal Research Center for Animal Husbandry named after academy member L.K. Ernst
Published: October 2024

Currently, the implementation of genomic evaluation in all types of farm animals and commercial aquaculture objects is an urgent and necessary goal of scientific work. This paper presents the results of genome-wide association studies on feed conversion based on two main BLUP methodologies – BLUP Animal Model and genomic BLUP. An example of genomic evaluation parameters cataloging by feed efficiency and feeding behavior characteristics in Duroc pigs for implementation and application in practical direction is given. Five significant genes were identified, for which test systems will be developed in the future.
EVALUATION OF THE EFFECTIVENESS OF CHROMIUM COMPOUNDS AS ADDITIVES IN PIG FEEDING (Review)
Authors:   Federal Research Center for Animal Husbandry – VIZh named after academician L.K. Ernst, ZAITSEV S.Yu. , SIVKINA O.N. ,   Federal Research Center for Animal Husbandry – VIZh named after academician L.K. Ernst, VORONINA O.A. ,   Federal Research Center for Animal Husbandry – VIZh named after academician L.K. Ernst
Published: October 2024

For several decades, chromium, especially in organic forms of Cr(III), has been proposed as a dietary supplement leading to potentially beneficial changes in the physiological-biochemical status of humans and animals. Chromium is found in the body in ultra-microquantities, so its essential role is only now being demonstrated, which is the subject of a review of the main experimental work in this area using pig feeding as an example. It has been shown that with the introduction of Cr(III) additives into feed, pigs, as well as a number of other animals, experience positive effects in terms of metabolism and productive performance. Among the most commonly used feed additives based on organic forms of Cr(III) are the following: chromium picolinate, acetate or propionate, as well as complex compounds of amino acids with chromium. The regulation of these additives depends on the specific country and its established requirements for the element and the maximum permissible concentrations of chromium in feed and resulting agricultural products.
Collaborative Surgical Team Formation: A Proposed Theoretical Framework Using Genetic Algorithm
Authors: Zulkifli Noor Nazirulsyahmi , Ibrahim Najihah , Mohd Kassim Azleena
Published: October 2024

The imbalance in surgical team composition has a significant impact on the increment of surgical failure and error. The crucial factors influencing the optimal surgical team members are experience, skills, trust, and leadership. Hence, this study aims to maximize surgical team formation effectiveness with a systematic and data-driven approach to team composition for minimizing human error, maximizing safety, and promoting active communication and reliability among team members that can result in successful surgeries. A theoretical framework has been proposed for optimizing surgical team formation using a Genetic Algorithm (GA). This proposed framework is predicted to assemble an effective collaborative surgical team that can perform a successful surgery based on the multi-objective function: the performance indicators and social-based ratings.
ANÁLISE DAS PERSPECTIVAS E DESAFIOS DA INOVAÇÃO: UM ESTUDO DE CASO NO SETOR ALIMENTÍCIO
Authors: Braga Levi Cunha , Silva Napiê Galvê Araújo
Published: October 2024

Esta pesquisa aborda temas relacionados à inovação no ambiente de negócios. É um estudo que trará informações aos pesquisadores da área sobre as perspectivas e desafios da inovação no setor alimentício. O objetivo geral desta pesquisa é realizar uma análise das perspectivas e desafios da inovação setor alimentício da cidade de Mossoró/RN. A relevância deste estudo para a academia está no entendimento de que a inovação é algo necessário para o desenvolvimento de qualquer empreendimento, incluindo o setor da alimentação. Buscando atender aos objetivos desta pesquisa, foi estabelecido o seguinte caminho metodológico: pesquisa observacional, exploratória e de abordagem qualitativa. A subdimensão Inovação de Processos foi a que obteve melhor índice com média inicial de 4,8 no geral e após a realização do Programa ALI a média foi para 5, nota máxima. Na sequência aparece a subdimensão Inovação de Produtos e Serviços com média inicial de 4,4, essa mesma média permaneceu. E por último, com média de 3,6 a subdimensão Cultura da Inovação, teve um salto significativo para 4,6. O que permite concluir que no geral as empresas estudadas são inovadoras, preocupam-se em se manterem atualizadas com as tendências do mercado e as novas tecnologias. O grande desafio observado é a busca constante de informações e a perspectiva de se tornarem cada vez mais empresas competitivas.
Qualitative Method Concepts: Literature Review, Focus Group Discussion, Ethnography and Grounded Theory
Authors: Candra Susanto Primadi , Yuntina Lily , Saribanon Euis , Panatap Soehaditama Josua , Liana Esti
Published: October 2024

Abstract: This study aims to build a hypothesis regarding the influence between variables that can later be used for further research within the scope of research methodology. Qualitative method articles: literature review, focus group discussion, ethnography, and grounded theory are scientific literature articles within the scope of research methodology. The approach used in this literature review research is descriptive qualitative. Data collection techniques use literature studies or review relevant previous articles. The data used in this descriptive qualitative approach comes from previous research that is relevant to this research and is sourced from academic online media such as the Thomson Reuters Journal, Springer, Taylor & Francis, Scopus Emerald, Sage, WoS, Sinta Journal, DOAJ, EBSCO, Google Scholar and digital reference books. In previous studies, 1 relevant previous article was used to review each independent variable. The results of this literature review article are: 1) Literature review related to Qualitative Methods; 2) Focus Group Discussion related to Qualitative Methods; 3) Ethnography related to Qualitative Methods; and 4) Grounded Theory related to Qualitative Methods.
 
Keywords: Qualitative Methods, Literature Review, Focus Group Discussion, Ethnography, Grounded Theory
Implementation of Research, Planning, Implementation, Evaluation (RPIE) in Developing Publish Awareness Through Instagram by Public Relations of Hope Worldwide Indonesia
Authors: Stefanny Jovanca , Muhammad Athalarik Fadli , Astuti Hani , Imaddudin Imaddudin
Published: October 2024

This research was conducted to determine the implementation of the RPIE concept in the role of PR to develop public awareness through Instagram of the HOPE Worldwide Indonesia organization. This research uses a type of qualitative research with descriptive research methods. The results of the study show that the role of PR in developing public awareness through the use of Instagram is carried out in several steps, namely 1) research, namely finding out the target audience with insight and research features used for making posts using SDG-type hashtags and seeing existing trends, 2) planning, namely PR having SOP, having a workflow in creating content and using digital media to develop wider public awareness, 3) implementation, namely public relations using the Instagram platform and activating all of its features, having a different core message from each content that is relatable, applying SOP in postings to packaging the content properly, 4) evaluation, namely PR HOPE Worldwide Indonesia conducted a review of the performance they had carried out to raise public awareness, look for data by looking at Instagram insights, seeing and feeling the changes and impacts that had occurred. The limitation of this research is that this research is only limited to how to implement the RPIE concept in the Instagram of HOPE Worldwide Indonesia. The Practical Implications of this research can provide benefits for researchers to explain the role played by a public relations person in developing public awareness of non-profit organizations through Instagram. The originality of this research is This research discusses HOPE Worldwide Indonesia as a non-profit organization that operates Instagram as one of its organizational media.
Post Truth: Ethics and Digital Security
Authors: Surahman Sigit , Novrian Novrian
Published: October 2024

In an increasingly advanced digital era, the phenomenon of "post-truth" has become a major concern in the study of digital ethics and security. This article explores the impact of the emergence of post-truth on morality and security in the digital realm. The research method used is literature analysis to investigate how post-truth affects online behavior, alters the dynamics of information, and increases vulnerability to cyberattacks. Additionally, this article introduces several ethical strategies and principles that can be applied to address these challenges, including enhancing digital literacy, implementing stricter regulations, and promoting better understanding of the consequences of spreading false information. Thus, this article illustrates the importance of integrating ethics and digital security as crucial steps towards a more responsible and secure digital ecosystem.
Clinico-Demographic Profile of Children Attending Pediatric Outpatient Department in Tertiary Care Center in Gandaki Province, Nepal: A Prospective, Descriptive Cross-Sectional Study
Authors: Raj Paudel Deepak , Devi Ghimire Gita , Ghimire Amrita , Kumar Shrestha Anil , Kumar Gupta Dipak , Kumar Lamsal Dinesh , Kumar Jha Santosh , Hari Chapagain Ram
Published: October 2024

Introduction: Pediatric outpatient departments (OPDs) in tertiary care centers provide a vital connection for the early diagnosis and treatment of childhood illnesses. Understanding the clinico-demographic profile of pediatric patients attending these centers provides insight into the healthcare needs and challenges faced by children in specific regions. This study aimed to evaluate the clinico-demographic characteristics of children attending the pediatric OPD.  Methods: A prospective, descriptive cross-sectional study was conducted from April 12 to December 17, 2023 at pediatric OPD at GP Koirala National Centre for Respiratory Diseases and Hospital, Tanahun, Gandaki Province, Nepal. Data were collected from the pediatric OPD during clinical history taking and examination, including 7,020 children aged 0–14 years. Verbal consent was obtained from legal guardians for using clinical history and diagnostic data. Data on age, sex, socioeconomic status, parental education, and disease distribution were analyzed using SPSS version 23.  Results: Out of 7,020 children, 42.89% were aged 1–5 years, and 28.67% were aged 6–10 years. Males (50.7%) slightly outnumbered females (49.3%). Socioeconomic analysis showed that 57.3% of children were from low-income families. Regarding parental(either father or mother or any legal gurdian who brought child at hospital OPD) education, 31.19% had secondary education, and 28.3% had primary education. Respiratory infections (19.97%) were the most common diagnosis, followed by gastroenteritis (11%), pain abdomen (9%), and malnutrition, especially undernutrition (8%). Other notable conditions included enteric fever (7.4%) and acute conjunctivitis (7.3%).  Conclusion: The study highlights a high prevalence of respiratory and gastrointestinal conditions among children, particularly from low-income families. The findings emphasize the need for targeted healthcare interventions and improved parental education to reduce the burden of childhood illnesses in Gandaki Province.
AI-Driven Mood Analysis for Employee Wellbeing: A Proactive Approach to Enhancing Workplace Productivity
Authors: Reddy Katam Brahma
Published: October 2024

This paper explores the implementation of an AI-enabled camera system to detect faces and analyze the mood, expressions, and mental health of employees as they enter the office. The data collected is stored in an Amazon S3 bucket and used to send personalized emails within the company, offering proactive wellbeing support sessions and tips to help employees improve productivity. This approach aims to enhance employee wellbeing and organizational performance through timely and tailored interventions.
Urban primacy and slum prevalence in Latin American and Caribbean countries in the 1990-2020 period
Authors: Obaco Moisés , Díaz-Sánchez Juan Pablo , Lanchimba Cintya
Published: October 2024

Slums are a global concern due to their impact on urban health and urban planning. Although Latin America and the Caribbean is one of the most urbanized developing regions, slums are still a signiﬁcant concern. However, most studies have concentrated on a single city, using a sample of Latin American and Caribbean (LAC) countries or treating the region as one unit to analyze income inequality and urban primacy. Here, we present an analysis of the relationship between slums and urban primacy for LAC countries for the 1990–2020 period, controlling for GDP per capita and public spending on housing. In addition, we model the relationship between slums and demographic variables such as the fertility rate, migration rate, and urbanization. e analysis is based on panel data from the World Bank and e Economic Commission for Latin America and the Caribbean (ECLAC). During the period of study, a clear positive relationship is evident between urban primacy in the largest city and the slum rate in each LAC country. However, a high level of heterogeneity is observed in this relationship and our model explains the variation in the slum rate within countries better than the variation between countries.
National introduction of no net land take: a comparative study of five pioneering countries seeking to limit their land consumption
Authors: Lacoere Peter , Decoville Antoine , Delattre Rémi , Melot Romain , Grimski Detlef , Schamann Martin , Halleux Jean-Marie
Published: October 2024

The ambitious European objective of achieving no net land take (NNLT) by 2050 calls for a radical change in the strategies and instruments of national planning policies. Based on a comparative case study of five pioneering countries, this article analyses the different approaches taken to implement the NNLT goal, drawing on policy cycle theory. It demonstrates that the transfer of the NNLT target is a top-down process that conflicts with land use plans and planning practices at the local level. This research shows that the support and involvement of the local planning level is crucial to effectively reduce land use.
Modelling inter-relationships of barriers to smart construction implementation
Authors: You Beiyu , Chen Zhengyi , Xue Yulu , Zhang Yanbo , Chen Keyu
Published: October 2024

Smart construction technology offers fresh avenues for advancing the field of civil engineering. It seamlessly integrates across the entire life cycle of civil engineering projects, encompassing planning, design, construction, and maintenance, thereby fundamentally reshaping the landscape of civil engineering development. Nonetheless, it is essential to recognize that, presently, smart construction’s developmental stage remains relatively nascent. Its progression is subject to a myriad of adoption barriers, and the complex dynamics of their interactions remain insufficiently understood. Therefore, this study aims to (1) explore the barriers to the adoption of smart construction; (2) analyze the impact level of each barrier; and the interaction mechanism between the barriers (3) propose effective strategies to promote the development of smart construction. This study commences by identifying 16 major impediments to the adoption of smart construction through a comprehensive synthesis of existing literature and expert interviews. Subsequently, Euclidean similarity analysis is employed to harmonize varying expert assessments. Following this, the Decision-Making Trial and Evaluation Laboratory model is utilized to ascertain the degree of influence associated with each barrier. Further, the Interpretive Structural Model is employed to establish a hierarchical framework that illuminates the interdependencies among these barriers. Additionally, the Matrice d’Impacts Croisés Multiplication Appliqués à un Classement method is invoked to elucidate the roles and statuses of each barrier. Finally, strategies are proposed based on the results of the analysis. This study offers practical strategies for overcoming barriers and driving the adoption of smart construction, filling a critical gap in understanding by identifying key barriers and providing actionable insights, thus significantly advancing the field and empowering stakeholders for successful implementation and dissemination.
Data-driven MHD Simulation of the Formation of a Magnetic Flux Rope and an Inclined Solar Eruption
Authors: Kang Yeongmin , Kaneko Takafumi , Leka K. D. , Kusano Kanya
Published: October 2024

Solar energetic events are caused by the release of magnetic energy accumulated in the solar atmosphere. To understand their initiating physical mechanisms, the dynamics of the coronal magnetic fields must be studied. Unfortunately, the dominant mechanisms are still unclear due to a lack of direct measurements. Numerical simulations based on magnetohydrodynamics (MHD) can reproduce the dynamical evolution of solar coronal magnetic field, providing a useful tool to explore flare initiation. Data-driven MHD simulations, in which the time-series observational data of the photospheric magnetic field is used as the simulation boundary condition, can explore different mechanisms. To investigate the accumulation of free magnetic energy through a solar eruption, we simulated the first of several large flares in NOAA active region 11283. We used a data-driven model that was governed by zero-beta MHD, focusing on the free magnetic energy accumulation prior to the M5.3 flare (2011 September 6 at 01:59 UT). We reproduced the flare-associated eruption following the formation of twisted magnetic fields, or a magnetic flux rope (MFR), formed by photospheric motions at its footpoints. We found that the eruption was first triggered by the growth of the torus instability. The erupting MFR caused magnetic reconnections with neighboring magnetic field lines located along the direction of the eruption. Using the simulation results and an axial-radial decay index centered on the MFR, we find a natural explanation for the inclination of the eruption and a possible approach to predict the direction of solar eruptive events.
Upper Limit of Sound Speed in Nuclear Matter: A Harmonious Interplay of Transport Calculation and Perturbative Quantum Chromodynamic Constraint
Authors: Tang Shao-Peng , Huang Yong-Jia , Han Ming-Zhe , Fan Yi-Zhong
Published: October 2024

Very recently, it has been shown that there is an upper bound on the squared sound speed of nuclear matter from the transport, which reads

c
s
2

≤
0.781

. In this work, we demonstrate that this upper bound is corroborated by the reconstructed equation of state (EOS; modeled with a nonparametric method) for ultradense matter. The reconstruction integrates multimessenger observation for neutron stars, in particular, the latest radius measurements for PSR J0437–4715 (

11.36

−
0.63

+
0.95

km), PSR J0030+0451 (

11.71

−
0.83

+
0.88

km, in the ST+PDT model), and PSR J0740+6620 (

12.49

−
0.88

+
1.28

km) by NICER have been adopted. The result shows in all cases, the

c
s
2

≤
0.781

upper limit for EOS will naturally yield the properties of matter near the center of the massive neutron star consistent with the causality-driven constraint from pQCD, where, in practice, the density in implementing the pQCD likelihood (n
L) is applied at

10

n
s

(where

n
s

is the nuclear saturation density). We also note that there is a strong correlation for the maximum c
s

2 with n
L, and

c
s
2

≤
0.781

is somehow violated when n
L = n
c,TOV. The result indicates that a higher n
L, even considering the uncertainties from statistics, is more natural. Moreover, the remarkable agreement between the outcomes derived from these two distinct and independent constraints (i.e., the transport calculation and pQCD boundary) lends strong support to their validity. In addition, the latest joint constraint for R
1.4, R
2.0, R
1.4 − R
2.0, and M
TOV are

11.94

−
0.68

+
0.77

km,

11.99

−
0.67

+
0.88

km,

−

0.1

−
0.27

+
0.42

km, and

2.24

−
0.10

+
0.13

M

⊙

(at 90% credible level), respectively.
Spiradiclis yanii (Rubiaceae), a new species from Guangxi, China
Authors: Nong You , Lei Li-Qun , Wei Gui-Yuan , Qu Xin-Cheng , Zhao Zi-Yi , Feng Bin , Xu Chuan-Gui , Wu Lei
Published: October 2024

Spiradiclis yanii Y.Nong & L.Wu (Rubiaceae), a new species from Guangxi, China, is described and illustrated. This new species is most similar to S. tomentosa, but it can be easily distinguished by being densely multicellular villous, leaves narrow elliptic or oblanceolate, apex acute or shortly acuminate, stipules 2–4, linear or linear lanceolate, 4–8 mm, densely villous, corolla tube 3 mm, sparsely pubescent inside, flower homomorphism, lobes 3–5, stamens arising at the base of the tube, stigma 2-lobed, lobes ovoid, slightly swollen, 0.2 mm. The habitat of Spiradiclis yanii is extremely fragile. Therefore, this species deserves close attention and protection.
Four new species and four newly recorded species of Omphale Haliday (Hymenoptera, Eulophidae) from China, with a key to Chinese species
Authors: Li Ming-Rui , Wang Jia-Sheng , Jing Ze-Ji , Meng Qing-Fan , Zhao Hong-Rui , Li Xing-Peng , Liu Sheng-Dong , Li Cheng-De
Published: October 2024

In this paper, four species of Omphale Haliday, O. longigena Li & Li, sp. nov., O. longitarsus Li & Li, sp. nov., O. rectisulcus Li & Li, sp. nov., and O. xanthosoma Li & Li, sp. nov., are described as new to science; four species, O. brevibuccata Szelényi, O. connectens Graham, O. melina Yefremova & Kriskovich, and O. obscura (Förster) are reported from China for the first time; and the male of O. melina is reported for the first time in the world. A key to all known species of the genus Omphale in China is provided.
Utilization of Ramanujan-type Eisenstein series in the generation of differential equations
Authors: Vidya H. C. , Rao B. A.
Published: October 2024

In his lost notebook, Ramanujan presented unique categories of remarkable infinite series, known as the Ramanujan-type Eisenstein series. The objective of this paper is to generate various differential identities related to classical $ \eta $-functions and $ h $-functions with the help of the Ramanujan-type Eisenstein series. Moreover, we present particular identities that incorporate Eisenstein series of different levels and $ h $-functions, thereby establishing links between class one infinite series and $ h $-functions.
Performance analysis of the convex non-convex total variation denoising model
Authors: Zhu Yating , Zeng Zixun , Chen Zhong , Zhou Deqiang , Zou Jian
Published: October 2024

Total variation (TV) regularization is a powerful tool in image denoising, but it often exhibits limited performance in preserving edges. In contrast, non-convex TV regularization can more effectively preserve edges and contours, albeit posing challenges when solving. Recently, the convex non-convex (CNC) strategy has emerged as a potent approach that allows incorporating non-convex TV regularization terms while maintaining the overall convexity of the objective function. Its superior performance has been validated through various numerical experiments; however, theoretical analysis remains lacking. In this paper, we provided theoretical analysis of the performance of the CNC-TV denoising model. By utilizing the oracle inequality, we derived an improved upper bound on its performance compared to TV regularization. In addition, we devised an alternating direction method of multipliers (ADMM) algorithm to address the proposed model and verified its convergence properties. Our proposed model has been validated through numerical experiments in 1D and 2D denoising, demonstrating its exceptional performance.
Deepfake image detection and classification model using Bayesian deep learning with coronavirus herd immunity optimizer
Authors: Mansouri Wahida , Alshardan Amal , Ahmad Nazir , Alruwais Nuha
Published: October 2024

Deepfake images are combined media constructed from deep learning (DL) methods, usually Generative Adversarial Networks (GANs), to manipulate visual content, often giving rise to convincing and fabricating descriptions of scenes or people. The Bayesian machine learning (ML) model has made crucial strides over the past two decades, illustrating promise in diverse applications. In deepfake images, detection utilizes computer vision (CV) and ML to spot manipulated content by analyzing unique artefacts and patterns. Recent techniques utilize DL to train neural networks to discriminate between real and fake images, improving the fight against digital manipulation and preserving media integrity. These systems can efficiently detect subtle inconsistencies or anomalies specific to deepfake creations by learning from large datasets of both real and deepfake images. This enables the mitigation of fraudulent content and reliable detection in digital media. We introduce a new Coronavirus Herd Immunity Optimizer with a Deep Learning-based Deepfake Image Detection and Classification (CHIODL-DIDC) technique. The CHIODL-DIDC technique aimed to detect and classify the existence of fake images. To accomplish this, the CHIODL-DIDC technique initially used a median filtering (MF) based image filtering approach. Besides, the CHIODL-DIDC technique utilized the MobileNetv2 model for extracting feature vectors. Moreover, the hyperparameter tuning of the MobileNetv2 model was accomplished using the CHIO method. For deepfake image detection, the CHIODL-DIDC technique implements the deep belief network (DBN) model. Finally, the Bayesian optimization algorithm (BOA) was utilized to select the effectual hyperparameter of the DBN model. The CHIODL-DIDC method's empirical analysis was examined using a benchmark fake image dataset. The performance validation of the CHIODL-DIDC technique illustrated a superior accuracy value of 98.16% over other models under $ Acc{u}_{y} $ , $ Pre{c}_{n} $ , $ Rec{a}_{l} $ , $ {F}_{Score} $ , and MCC metrics.
On generalized discrete Ricker map
Authors: El-Metwally H. , Alsulami Ibraheem M. , Hamada M. Y.
Published: October 2024

In recent years, conventional Ricker maps have enjoyed widespread applications across crucial domains such as modeling and security. However, their limitation to a single changeable parameter poses constraints on their adaptability. This paper introduces a generalized form of the Ricker map, incorporating arbitrary powers, thus offering enhanced versatility compared to the traditional Ricker map. By introducing an additional parameter (arbitrary power), the map gains increased degrees of freedom, thereby accommodating a broader spectrum of applications. Consequently, the conventional Ricker map emerges as merely a special case within each proposed framework. This newfound parameter enhances system flexibility and elucidates the conventional system's performance across diverse contexts. Through numerous illustrations, we meticulously investigate the impact of the arbitrary power and equation parameters on equilibrium points, their positions, basin of attraction, stability conditions, and bifurcation diagrams, including the emergence of chaotic behavior.
Molecular and morphological data provide evidence for only one alien species of pearl oyster in the Mediterranean Sea
Authors: Garzia Matteo , Doneddu Mauro , Giacobbe Salvatore , Salvi Daniele , Trainito Egidio , Mariottini Paolo
Published: October 2024

Taxonomic identification of alien bivalve species in the Mediterranean Sea can be challenging because of high morphological variability and the occurrence of cryptic species complexes, as in the case of pearl oysters. While the presence of the Lessepsian species Pinctada radiata is well-established in the eastern Mediterranean Sea, the presence of P. fucata was recently suggested based on morphological data. In this study we performed an integrative assessment based on morphological and genetic data on pearl oysters collected across the Mediterranean Basin. Molecular species delimitation and phylogenetic analyses allowed a straightforward taxonomic assignment of all collected specimens to P. radiata. These specimens show the entire suite of morphological character states considered diagnostic of either P. fucata or P. radiata by previous studies. This finding clearly demonstrates that these morphological characters have no taxonomic value, and their variability observed in specimens from the Mediterranean Sea represents (part of) the intraspecific variability of P. radiata. While no evidence has been found for the presence of P. fucata, the earlier occurrences of P. radiata from the eastern and southern Mediterranean Sea are complemented with verified occurrence in the western and northern regions, demonstrating a further spreading of this non-native species throughout the Mediterranean Sea. This study clarifies the taxonomic identification and geographical distribution of pearl oysters in the Mediterranean Sea and substantiates the importance of molecular identification of alien bivalves characterized by extensive variation in shell characters.
Overcoming Imposter Syndrome
Authors: Yadav Mohit , Kanwal Preet , Luu Thi Minh Ngoc
Published: October 2024

Imposter Syndrome significantly impacts women leaders, manifesting as persistent self-doubt and internalized biases despite their professional achievements. This chapter explores the complexities of Imposter Syndrome by examining personal, professional, and systemic challenges faced by women in leadership roles. It delves into personal development strategies, such as cognitive restructuring and self-compassion, as well as organizational support mechanisms, including mentorship programs and inclusive cultures. The chapter emphasizes the need for systemic changes and further research into intersectionality and emerging interventions. Future research directions include longitudinal studies, the role of digital platforms, and empirical validation of coping strategies. By addressing these dimensions, the chapter aims to provide a comprehensive understanding of Imposter Syndrome and offer practical insights for supporting women leaders in overcoming self-doubt and enhancing their professional growth.
One Bad Mother
Authors: Gambino Ashley
Published: October 2024

This chapter explores the lived experience of a transitional time period for the author: becoming a new mother during an unprecedented period in history, the COVID19 pandemic. While much has been discussed about working mothers during the pandemic, the author discusses how the pandemic and motherhood were only two of the factors contributing toward a feeling of burn-out toward academic care work. Ultimately, a changing student demographic and new leadership duties coupled with the sexist role assignments and expectations of academia combined with the transition to motherhood and a pandemic were simply too much to cope with. The author recognizes that while she is certainly not the first woman to have been overburdened by the misogyny of academic care work, there is a cohort of academic leaders who became mothers and leaders during a time unlike any other in history.
Becoming
Authors: Stocks Clair A.
Published: October 2024

This chapter will use a single personal narrative and case study approach to analyze the challenges often faced by women in higher education and the impact of leadership in influencing the perception of self. A pivotal experience with a transformational leader and engaged mentor was the impetus for deep reflection that shepherded an evolution of individuals, teams, and an entire institution. This defining experience in the author's career will serve as a guide through literature that emphasizes the influence of leadership on individual perceptions and performance, cohesive team formation, and institutional success. The far-reaching effect of transformational leadership will be considered, as those who experience it adopt the practices of effective leadership and bring them to new teams and institutions. This chapter will include a specific focus on the lasting impact positive experiences with leadership and mentoring can have on confidence, achievement, and new leader development among women in higher education.
Exploring Microactuators and Sensors in Modern Applications
Authors: Surya S. , Elakya R. , Ramamurthy Srinivasan , Janani K. , Lizy A.
Published: October 2024

The development of robotic systems across various applications is increasingly propelled by advancements in microactuators and sensors. This chapter provides a comprehensive exploration of their pivotal role, the challenges they present, and their transformative impact on modern robotics. Beginning with foundational concepts, it progresses to a detailed examination of diverse microactuators and sensors, elucidating their functionalities and potential applications. Emphasizing the crucial role of feedback mechanisms in enhancing robotic performance, the chapter delves into integration schemes and control mechanisms crucial for effective operation. Current research initiatives and future directions are discussed, highlighting ongoing efforts to overcome challenges such as miniaturization, power consumption, and reliability. By addressing these hurdles, researchers aim to unlock the full potential of sensors and microactuators, fostering innovation and advancing the capabilities of contemporary robotic systems.
Cooperative Task Execution in Insect-Inspired Robot Swarms Using Reinforcement Learning
Authors: Elakya R. , Surya S. , Abinaya G. , Manoranjitham T. , Thanga Selvi R.
Published: October 2024

This chapter proposes a novel framework for cooperative task execution in a swarm of insect-inspired robots by using Reinforcement Learning (RL) algorithms. Inspired by the collaborative behaviors observed in social insects, such as ants and bees, the proposed framework enables robots to autonomously coordinate their actions to accomplish complex tasks in dynamic environments. Each robot in the swarm acts as an autonomous agent capable of learning and adapting its behavior through interactions with the environment and feedback from other robots. By applying RL algorithms, such as Q-learning or Deep Q-Networks (DQN), robots learn optimal action policies to maximize task performance while considering the collective objectives of the swarm. we demonstrate the effectiveness and scalability of our approach in various cooperative tasks, including exploration, foraging, and object manipulation. This project showcases the potential of RL-based approaches to enhance the autonomy and adaptability of robotic swarms for collaborative task execution in real-world scenarios.
Blue Pulse: Active Rotor Control at Airbus Helicopters - New EC145 Demonstrator & Flight Test Results
Authors:   Airbus Helicopters Deutschland, Rabourdin Antoine , Dieterich Oliver , Konstanzer Peter , Maurice Jean-Baptiste
Published: October 2024

In 2009 a new Airbus Helicopters - formerly Eurocopter - active flap demonstrator based on the serial EC145 airframe made its first flight. This demonstrator successfully supported the consolidation of gained expertise on vibration control and BVI noise reduction but also the development of new functionalities such as in-flight tracking and stability enhancement. In 2006 a world premiere had been achieved by flight-testing active rotor control through actuation of trailing edge flaps on a BK117 experimental test-bed. During this first campaign, the understanding of different control strategies had been significantly pushed and underlying theory and technology successfully validated. In parallel to flight testing, Airbus Helicopters is continuously investing in the development of more mature and efficient actuation, rotor design and power generation technologies in order to get closer to serial challenges. This paper presents a broadband overview of Airbus Helicopters activities covering the last years of active rotor control in flight. Furthermore, it addresses key issues for second generation active systems offering more mature technologies.
Ground and Flight Testing of a Hub Mounted Vibration Suppression System
Authors:   US Army Aviation Development Directorate, DiOttavio James ,   Sikorsky Aircraft Corporation, Andrews Joseph ,   Lord Corporation, Altieri Russ , Welsh William
Published: October 2024

The performance of a new vibration control system consisting of a prototype dual-frequency Hub Mounted Vibration Suppressor (HMVS) is described. Bench tests were conducted at a LORD Corp. test facility on a CH-3 fuselage and lead to a flight test conducted on a UH-60A BLACK HAWK helicopter at the AATD flight test facility in Ft. Eustis, VA. During bench and flight test, the HMVS was used to actively nullify all fuselage N/rev vibrations due to in-plane vibratory hub loads in absence of all other vibration suppression systems, both passive and active. A direct comparison against the existing passive in-plane suppressor was made between flight phases. The flight test results indicated that the system successfully matched or exceeded performance of the existing passive system, yielding lower global fuselage vibration at a significant weight savings.
Dynamics Fem Correlation Using Structural Optimization Tools
Authors:   Bell Helicopter Textron Inc., Seifert Mike ,   Bell Helicopter Textron Canada Ltd, Chapleau Sébastien , Couture Martin
Published: October 2024

Dynamics finite element (FE) models are the principal tools for prediction of rotorcraft airframe oscillatory loads and vibrations. The accuracy and reliability of rotorcraft system-level dynamics FE models is established through correlation with ground vibration test (GVT) data. The traditional method of correlation involves manual iteration that relies heavily on the knowledge, intuition, and persistence of experienced engineers. A new, more efficient FEM correlation process has been developed to adapt to the increased pace of rotorcraft development programs. The process uses sensitivity-based optimization methods to systematically identify and manipulate the most relevant structural parameters to attain the best agreement with the GVT data. The sensitivity-based approach supplements engineering experience and physical insight with quantitative data that assists in the discovery of non-intuitive issues and provides focus on areas of the model that warrant attention. A framework of proprietary in-house codes and commercially-available LMS® software tools was assembled to support the new process, automating data flow, analysis, and model updates. The new tools and procedures make it possible to correlate modern, high-fidelity dynamics FE models at lower cost and with less dependence on the engineer's level of experience.
H2 Periodic Control on Active Twist Rotor for Vibration Reduction
Authors:   Politecnico di Milano, Brillante Claudio , Morandini Marco , Mantegazza Paolo
Published: October 2024

This paper investigates the application of an active control strategy to reduce vibrations in forward flight through active twist design. The blade twist is actively induced at high frequencies by piezoelectric actuators distributed along the blade span. Macro-fiber composite (MFC) are considered as actuators, allowing a high actuation power with low voltages. The multibody software MBDyn is used to model the isolated rotor of the Bo105, whose original blades are replaced with blades embedding distributed piezoelectric actuators. The reduction of vibratory loads acting on the hub is obtained through the minimization of appropriate harmonics of the blade root loads, hence working on the rotating reference frame. Due to the periodicity of the system in forward flight, the actuation is governed by a periodic linear H2 controller, designed on an appropriately identified model.
Ground Resonance and Whirl Stability Analysis Using CAMRAD
Authors:   The Boeing Company, Liu Li , Anand Vaidyanathan , Hair Keith , Straub Friedrich
Published: October 2024

Various CAMRAD models for analyzing ground resonance and whirl stability have been developed and correlated with existing analyses using in-house code DART at Boeing Mesa. The landing gear system, rotor pylon and its support structure, as well as mast mounted assembly (MMA), need to be properly represented in CAMRAD in order to consider these types of aeromechanical instabilities. The results have shown that the CAMRAD models are fully capable of capturing the overall characteristics of ground resonance and whirl mode stability, thus could be used in routine design and analysis in order to prevent these potentially destructive behaviors. Results shown in the study indicate that the DART models are typically more conservative than CAMRAD in terms of predicted stability margins; however, the CAMRAD predictions may be more accurate.