bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ecotypic differentiation of leaf silicon concentration in the grass Brachypodium hybridum along a rainfall gradient
Authors: Kurze Susanne , Ouyang Jinyu , Gade Florian , Katz Ofir , Schaller Jörg , Metz Johannes 
Published: October 2024

Ecotypic differentiation, reflected in substantial trait differences across populations, has been observed in various plant species distributed across aridity gradients. Nevertheless, ecotypic differentiation in leaf silicon concentration, known to alleviate drought stress in plants, remained hardly explored. Here, we provide a systematic test for ecotypic differentiation in leaf silicon concentration along two aridity gradients in the grass Brachypodium hybridum in Israel. Seed material was sampled in 15 sites along a macroclimatic aridity gradient (89 – 926 mm mean annual rainfall) and from corresponding north (moister) and south (more arid) exposed slopes (microclimatic gradient) at similar altitudes (mean north: 381 m a.s.l., mean south: 385 m a.s.l.). Plants were subsequently grown under common conditions and their leaf silicon concentration was analysed. Leaf silicon concentration increased with increasing aridity across the macroclimatic gradient, but did not differ between north and south slopes. The higher leaf silicon concentrations under more arid conditions can enhance the ability of plants to cope with more arid conditions by two mutually not exclusive mechanisms: (i) withstanding drought by reducing water loss and increasing water uptake or (ii) escaping drought by facilitating fast growth. Our study highlights that leaf silicon concentration contributes to ecotypic differentiation in annual grasses along macroclimatic aridity gradients.
Body image is associated with persistence. A study of the role of weight-related stigma
Authors: Styk Wojciech , Wojtowicz Ewa , Glibowski Paweł , Iłowiecka Katarzyna , Jędryszek-Geisler Aleksanda , Zmorzyński Szymon 
Published: October 2024

AbstractThe study replicates a preliminary report from 2019 on therelationship between body image and persistence.PurposeThe aim of our study was to analyze the associations between body image, persistence, and body weight stereotypes.Patients and methodsA total of 750 individuals were recruited for the study. The research was carried out in computer labs. The procedure consisted of psychological questionnaires (Persistence Scale, The Body Esteem Scale, Perceived Weight Stigma Questionnaire, Weight Bias Internalization Scale, Hospital Anxiety and Depression Scale, Formal Characteristics of Behavior – Temperament Inventory, and NEO-PI-R) and The Maze Test (a computer tool). After completing the Simple Maze Test, saliva samples were collected. Next, the subjects proceeded to the laboratory where anthropometric and body composition measurements were taken. The hormone levels (cortisol and dehydroepiandrosterone) in the collected saliva samples were analyzed via ELISA to determine stress.ResultsBody image and persistence are related variables. They are associated with the internalization of stereotypes and perceived stigma related to body weight. These associations are differentially shaped according to sex and the regularity of body weight. In women, a stronger association of these variables with body image was observed, while in men, the relationship with body image was weaker, with a stronger association shown by perceived weight-related stigma. In the group of participants with a BMI&lt;18.5, there was no significant association between the internalization of stereotypes and the analyzed variables. This relationship appeared in the group of subjects with a normal body weight and was strongest in the group of participants who were overweight or obese. Perceived weight-related stigma was most strongly associated with body image in the group with BMI&lt;18.5 kg/m2 and with persistence in the group with BMI&gt;25 kg/m2.ConclusionBody-related stigma affects not only overweight and obese individuals and its mechanisms may be shaped differently.
Development of a predictive model for assessing the risk factors associated with recurrence following surgical treatment of chronic subdural hematoma
Authors: Chen Min , Da Longbiao , Zhang Qingchao , Liu Jie , Tang Jian , Zha Zhengjiang 
Published: October 2024

BackgroundChronic subdural hematoma (CSDH) is a common disease in neurosurgery. Although many studies have investigated the factors affecting the recurrence of CSDH, no comprehensive prediction model has been established for the risk effect of postoperative recurrence of the disease.ObjectiveThis study aims to collect and analyze the data of CSDH patients treated in our hospital to determine the influence of preoperative, postoperative and treatment factors on the recurrence of CSDH, and to establish a corresponding prediction model to provide neurosurgeons with more accurate basis for identifying high-risk patients and guiding treatment.MethodsA total of 431 patients were collected in this study, including 323 patients who underwent traditional hematoma removal and 108 patients who underwent endoscopic hematoma removal. Relevant preoperative and postoperative data and medical history of patients were collected respectively to study the relevant factors affecting postoperative hematoma recurrence of patients, and to establish a prediction model.ResultsA total of 431 patients were enrolled in this study, 71 of whom had subdural blood recurrence. Possible relevant factors were included in univariate logistic regression, and the results showed that the preoperative GCS score, postoperative residual gas, preoperative CT hematoma thickness, coagulation function, unilateral and bilateral surgery, whether statin was taken after surgery, hematoma site, hematoma density and hematoma volume were all P &lt; 0.2. It is a risk factor for recurrence of chronic subdural hematoma. The obtained data were further included in a multi-factor review. Six factors, including preoperative GCS score, postoperative gas residual, abnormal coagulation function, high-density hematoma, large hematoma volume, and irregular statin use after surgery, were independent risk factors for chronic subdural hematoma recurrence (P &lt; 0.05).ConclusionThis study confirmed that six factors, including preoperative GCS score, postoperative gas residual, abnormal coagulation function, high-density hematoma, large hematoma volume, and irregular statin use, were independent risk factors for recurrence of chronic subdural hematoma. At the same time, long-term use of statins can reduce the recurrence rate of hematoma to a certain extent. In addition, the predictive model in this study could help neurosurgeons accurately identify high-risk CSDH patients.
(S)-2-Hydroxyisovalerate Production from d-Xylose with CO-Converting Clostridium ragsdalei
Authors: Schwarz Irina , Rupp Markus , Frank Oliver , Daschner Andreas , Weuster-Botz Dirk 
Published: October 2024

Clostridium ragsdalei was found to produce (S)-2-hydroxyisovalerate (2-HIV) as a novel product in addition to acetate, ethanol, and d-2,3-butanediol in heterotrophic (d-xylose), autotrophic (CO), and mixotrophic (d-xylose + CO) conditions. Mixotrophic batch processes in stirred-tank bioreactors with continuous gassing resulted in improved production of this alpha-hydroxy acid compared to batch processes solely with either d-xylose or CO. The maximal CO uptake rate was considerably reduced in mixotrophic compared to autotrophic processes, resulting in a concomitant decreased total CO2 production. Simultaneous conversion of 9.5 g L−1 d-xylose and 320 mmol CO enabled the production of 1.8 g L−1 2-HIV in addition to 1.1 g L−1 d-2,3-butanediol, 2.0 g L−1 ethanol, and 1.8 g L−1 acetate. With reduced initial d-xylose (3.1 g L−1), l-valine production started when d-xylose was depleted, reaching a maximum of 0.4 g L−1 l-valine. Using l-arabinose or d-glucose instead of d-xylose in mixotrophic batch processes reduced the 2-HIV production by C. ragsdalei. Considerable amounts of meso-2,3-butanediol (0.9–1.3 g L−1) were produced instead, which was not observed with d-xylose. The monomer 2-HIV can form polyesters that make the molecule attractive for application as bioplastic (polyhydroxyalkanoates) or new composite material.
New Records and New Species of Dacnusini (Hymenoptera: Braconidae, Alysiinae) Based on Morphological and Molecular Evidence
Authors: Zhu Jiachen , van Achterberg Cornelis , Chen Xuexin , Tang Pu 
Published: October 2024

Dacnusini is a species-rich tribe in the subfamily Alysiinae, with most species exclusively serving as parasitoids of leaf-mining Diptera (Agromyzidae). The number of genera discovered in China remains limited, which is apparently insufficient considering the global diversity of species and genera within this tribe, particularly given the vast and ecologically diverse landscapes of China. In the present study, three new record genera, Victorovita Tobias, Coloneura Foerster, and Laotris Nixon, were documented for the first time in China. In addition, the species delimitation approach and haplotype network analyses based on the COI sequences, combined with morphological evidence, were employed to delimit species. The findings indicated three new species: Laotris glabella sp. nov., Laotris aethidentata sp. nov., and Victorovita aequalis sp. nov. Additionally, K2P divergences showed no overlap between intra- and interspecific genetic distances in the Laotris and Victorovita species. Detailed descriptions for new species and keys to the species of Laotris and Victorovita are provided in this paper, along with the documentation of two new species records for China: Victorovita caudata (Szépligeti, 1901) and Coloneura stylata Foerster, 1863.
Environmental Pollutant Anthracene Induces ABA-Dependent Transgenerational Effects on Gemmae Dormancy in Marchantia polymorpha
Authors: Tolopka Juan I. , Svriz Maya , Ledesma Tamara M. , Lanari Eugenia , Scervino José M. , Moreno Javier E. 
Published: October 2024

Anthracene, a polycyclic aromatic hydrocarbon (PAH) from fossil fuel combustion, poses significant environmental threats. This study investigates the role of abscisic acid (ABA) in the anthracene tolerance of the liverwort Marchantia polymorpha using mutants deficient in ABA perception (Mppyl1) or biosynthesis (Mpaba1). In this study, we monitored the role of ABA in the anthracene tolerance response by tracking two ABA-controlled traits: plant growth inhibition and gemmae dormancy. We found that the anthracene-induced inhibition of plant growth is dose-dependent, similar to the growth-inhibiting effect of ABA, but independent of ABA pathways. However, gemmae dormancy was differentially affected by anthracene in ABA-deficient mutants. We found that gemmae from anthracene-exposed WT plants exhibited reduced germination compared to those from mock-treated plants. This suggests that the anthracene exposure of mother plants induces a transgenerational effect, resulting in prolonged dormancy in their asexual propagules. While Mppyl1 gemmae retained a dormancy delay when derived from anthracene-exposed thalli, the ABA biosynthesis mutant Mpaba1 did not display any significant dormancy delay as a consequence of anthracene exposure. These results, together with the strong induction of ABA marker genes upon anthracene treatment, imply that anthracene-induced germination inhibition relies on ABA synthesis in the mother plant, highlighting the critical role of MpABA1 in the tolerance response. These findings reveal a complex interplay between anthracene stress and ABA signaling, where anthracene triggers ABA-mediated responses, influencing reproductive success and highlighting the potential for leveraging genetic and hormonal pathways to enhance plant resilience in contaminated habitats.
Diagnostic considerations and orthodontic treatment approaches of adolescents with the dentoalveolar form of class II malocclusion
Authors: Rozhkova M. G. , Fischev S. B. , Klimov A. G. , Sevastyanov A. V. , Puzdyreva M. N. , Pavlova S. G. 
Published: October 2024

Relevance. Class II malocclusion (distal occlusion) is a common pathology of the maxillofacial region in the sagittal plane and is one of the most prevalent malocclusions. Studies confirm that Class II malocclusion in adolescents exhibits significant variability, prompting the development of various treatment approaches using both removable and fixed orthodontic appliances. The challenges of adolescence include concurrent physiological and psychological changes, which can complicate the treatment process.Purpose. To enhance the effectiveness of orthodontic treatment for patients with the dentoalveolar form of Class II malocclusion by utilizing the Rotation-Torque Index (RTI).Material and methods. A study was conducted on 49 residents of St. Petersburg with physiological occlusion types, who were included in the control group. The main group comprised 95 adolescents (aged 12-18) with the dentoalveolar form of Class II malocclusion classified into three levels of severity, based on the proposed working prognostic classification.Results. A new method was developed to calculate a coefficient that describes the relationship between the position of the upper and lower jaws and the torque of the central incisors. This coefficient helps predict treatment outcomes and guides the selection of the optimal treatment strategy. The Rotation-Torque Index (RTI) was introduced to quantify the relationship between the position of the jaws in the skull (SNA, SNB) and the inclination of the central incisors of the upper jaw relative to the nasal line (NL) and those of the lower jaw relative to the mandibular line (ML).Conclusions. Based on the Rotation-Torque Index (RTI), a working prognostic classification and treatment strategies for patients with the dentoalveolar form of Class II malocclusion were proposed.
Exploring an AI-Based Algorithmic Framework for Ethical Decision-Making in Human Resource Management Procedures
Authors: S Suriyaa 
Published: October 2024

In today’s dynamic and rapidly evolving workplace environments, ensuring ethical decision-making in Human Resource Management (HRM) procedures is crucial for organizational success and employee well-being. This research paper delves into the exploration of an innovative AI-based algorithmic framework designed to facilitate ethical decision-making processes within HRM contexts. Traditional approaches to ethical decision-making often rely on subjective judgement and are susceptible to biases, leading to inconsistent outcomes and potential ethical dilemmas. Leveraging the capabilities of artificial intelligence (AI), this framework integrates ethical principles, organizational values, and legal regulations into a structured algorithmic model. The proposed framework consists of several key components, including data collection and analysis, algorithm development, and decision support mechanisms. By harnessing AI technologies such as machine learning and natural language processing, the framework aims to enhance the objectivity, transparency, and consistency of ethical decision-making in HRM procedures. Moreover, the framework incorporates dynamic learning capabilities, allowing it to adapt and evolve based on feedback and real-world experiences. Through iterative refinement and continuous improvement, the algorithmic framework strives to address emerging ethical challenges and complexities in HRM practices. This research paper presents a comprehensive overview of the theoretical foundations, design principles, and implementation strategies of the AI-based algorithmic framework. Drawing on interdisciplinary insights from ethics, psychology, and computer science, the paper elucidates the potential benefits and implications of adopting such a framework in organizational contexts. Furthermore, the paper discusses potential ethical considerations and challenges associated with the deployment of AI technologies in HRM decision-making processes.
A Study on Exploring Digital Transformation in Logistics Service Providers: Challenges, Key Success Factors, and Best Practices with special reference to Aaj Enterprises Pvt Ltd
Authors: Manjunadh Ankireddy , Manoj G 
Published: October 2024

Digital transformation in logistics Advancements in digital technology are transforming the logistics sector, leading to innovative ways of transporting, handling, and distributing goods globally. This study focuses on the challenges and strategies related to digital transformation among logistics service providers (LSPs). Challenges Facing LSPs. Modern LSPs encounter various challenges in the digital age, including Outdated infrastructure, complex data management, cybersecurity threats, a lack of skilled talent, and regulatory compliance, Key Success Factors: To succeed in digital transformation, LSPs should prioritize Strong and forwardthinking leadership Focusing on customer needs, Collaboration with stakeholders Allocating resources to enhance technology infrastructure. This analysis combines industry knowledge and case studies to pinpoint the most effective strategies for logistics service providers (LSPs) to excel in the digital age. LSPs can significantly enhance operational efficiency, customer experiences, and competitive advantage by implementing these best practices, which include leveraging data analytics, utilizing IoT devices, optimizing delivery routes using AI, and boosting supply chain visibility with blockchain technology. LSPs can adapt to the shifting dynamics of digitalization by comprehending and integrating its principles, opening up fresh prospects, addressing challenges, and establishing themselves for ongoing success in the increasingly digitized logistics environment.
Exploring the Role of Network Marketing in the Business Development : An Analysis of Managerial Perspectives
Authors: B Mohammed Yakoob , Manoj G 
Published: October 2024

Network advertising and marketing, frequently called multi-level advertising has actually advanced as a prominent service growth approach particularly in the production sector. This technique promotes products and services through personal networks and word-of-mouth marketing, providing a fresh perspective for managers to consider. In the manufacturing industry, network marketing brings both potential and problems that necessitate careful consideration and strategic planning. From a managerial position, network marketing in the manufacturing sector has multiple advantages, including economical marketing, better brand visibility, and faster market share via direct selling andpeer-to-peer referral. However, managers must handle legal and ethical difficulties, ensuring transparency, regulatory compliance, and avoiding incorrect activities. Implementing strict training programs and incentive structures is critical for keeping and inspiring a high-performing sales team, which is necessary. As the business the environment gets growing competitive, organizations must push themselves to the extreme limits of their capabilities. Finally, a company’s performance is determined by its people resources, as well as its business and marketing strategies, which can help it in succeeding in the global market. As a result, network marketing has become a popular strategy for improving the performance of manufacturing organizations. The objective of this research study is to offer a far better understanding of just how mlm is used as an advertising and marketing method as well as device to boost in the production organization growth
Effectiveness of Content in Blogs for Customer Engagement
Authors: C Marian Christoper , Felisiya A 
Published: October 2024

In the dynamic landscape of digital marketing, businesses continually seek innovative approaches to engage their audiences effectively. Among these strategies, blogs have emerged as a potent tool for fostering customer engagement and nurturing lasting relationships. This study delves into the correlation between various characteristics of blog content and levels of customer engagement. Through a snowball sampling technique involving 114 participants, the research employs correlation and ANOVA analyses to unveil patterns and relationships between different variables. The findings underscore the significant influence of clear, visually appealing content that addresses audience pain points and interests. Compelling blog posts,resonating with readers’ challenges and offering actionable solutions, significantly enhance engagement metrics. Furthermore, delivering understandable and visually appealing content fosters trust and credibility. Integration of striking visuals such as images, infographics, and multimedia enhances the content experience, encouraging prolonged dwell time and social sharing. This study offers data-driven insights into the effectiveness of blog content in driving customer engagement, guiding businesses in refining their content strategies to cultivate meaningful connections with their audience.
A Study on Welfare Measures for Women Employees at Manufacturing Industry
Authors: B Krithicka , Arul Krishnan S 
Published: October 2024

The participation of women in the workforce has witnessed a remarkable surge in recent decades, driven by societal shifts, economic necessities, and the pursuit of gender equality. However, despite significant progress, women employees continue to face unique challenges and obstacles that hinder their professional growth and wellbeing. This research study aims to investigate the welfare measures specifically designed for women employees and their effectiveness in creating an inclusive and supportive work environment. The study’s primary objective is to assess the current state of welfare measures for women employees across various sectors and industries. It explores the types of initiatives implemented by organizations, such as maternity leave policies, childcare facilities, flexible work arrangements, and programs promoting career advancement and leadership development for women. Furthermore, the study examines the extent to which these measures align with relevant legal and regulatory frameworks, as well as industry best practices. Thisquantitaive data provides valuable insights into the awareness, utilization, and perceived effectiveness of existing welfare measures.The findings of this study have significant implications for policymakers, human resource professionals, and organizational leaders, as it sheds light on the critical importance of tailored welfare measures in attracting, retaining, and nurturing a diverse and talented pool of women employees.
PENGARUH LATIHAN VARIASI TERHADAP KETEPATAN PASSING BAWAH BOLA VOLI PADA SISWA EKSTRAKURIKULER BOLA VOLI DISEKOLAH SMPN 3 SIMPENAN
Authors: GANDA ASMARA RIKO 
Published: October 2024

ABSTRAK
Untuk mengetahui peningkatan latihan passing bawah bola voli disekolah SMPN 3 Simpenan menggunakan latihan variasi. Dari jumlah siswa 16 orang siswa, ada 8 orang dalam kategori kurang dan ada 8 orang dalam kategori kurang sekali dan masih mengalami kesulitan dalam menerima bola yang diservis.
Penelitian yang digunakan peneliti yaitu menggunakan penelitian eksperimen yaitu “ one-group pretest – posttest design ”. variabel ini terdiri dari variabel bebas ( X ) dan variabel terikat ( Y ). variabel bebas ( X ) yaitu : Gerakan Latihan Variasi sedangkan variabel terikat ( Y ) yaitu : Teknik Dasar Passing Bawah . Populasi dalam penelitian ini yaitu siswa yang mengikuti ekstrakurikuler bola voli disekolah SMPN 3 Simpenan. Dalam sampel penelitian ini sebanyak 16 orang siswa yang mengikuti ekstrakurikuler bola voli. Teknik pengumpulan data menggunakan passing bawah bola voli. Dalam instrument tes memiliki nilai validitas 0.733 dan Reliabilitasnya 0.758 dari kedua hasil tersebut menunjukan hasil yang signifikan.
Dari hasil penelitian ini menunjukan bahwa adanya peningkatan yang signifikan dari hasil ketepatan passing bawah menggunakan latihan variasi. Hasil yang diperoleh T hitung -13,6 Sedangkan T tabel 3,65. Dalam kegiatan ekstrakurikuker ini menggunakan latihan variasi dari hasil latihan teknik dasar passing bawah bola voli memberikan pengaruh yang signifikan.