bluuebunny/crossref_metadata_2025 huggingface dataset:
Hybrid Cloud Computing Models: A Framework for High-Performance Applications
Authors: Pasham Sai Dikshit
Published: January 2025

One of the most important models that have become significant for organizations with their IT service requirements is the hybrid cloud computing model. Hybrid models are defined as cloud computing combining smooth-running on-premises resources with public and private clouds, which can provide a solid flexible foundation to host various high-performance applications, including artificial intelligence, big data analysis, and essential business functions. This paper aims to identify the key decision criteria, advantages, and issues of using hybrid cloud computing with a focus on its places inefficient resource management, low latency, and compliance considerations. The discussion combines the reflective analysis of case studies and presentations of industry practices to show how organizations can unlock operational value and innovation with hybrid cloud models. Furthermore, the paper examines future trends such as edge computing and artificial intelligence’s impact. It highlights that the hybrid cloud frameworks’ advancement remains central to the future generations of digital transformation enablers.
Integrating Big Data with Graph Theory to Model Complex Transportation Systems
Authors: Pasham Sai Dikshit
Published: January 2025

The rapid growth of urbanization and globalization has amplified the complexity of modern transportation systems, necessitating innovative approaches to model and optimize these networks. This study explores the integration of Big Data and graph theory as a robust framework for analyzing and managing complex transportation systems. By leveraging vast datasets sourced from IoT devices, GPS trackers, and social media, the research harnesses the power of graph-based models to represent transportation networks with high fidelity.
Key methodologies include the application of dynamic graph algorithms to capture real-time traffic patterns, congestion hotspots, and route optimization. Additionally, machine learning techniques are integrated to enhance predictive capabilities and scalability. The study highlights practical applications in urban transit planning, logistics management, and smart city development.
Challenges such as data heterogeneity, computational scalability, and privacy concerns are also addressed, with proposed solutions for future advancements. The findings underscore the transformative potential of combining Big Data with graph theory, paving the way for more efficient, adaptive, and sustainable transportation systems in an increasingly interconnected world.
Using Graph Theory to Improve Communication Protocols in AI-Powered IoT Networks
Authors: Pasham Sai Dikshit
Published: January 2025

Growing Internet of Things (IoT) networks incorporating artificial intelligence (AI) requires effective and highly reliable communication schemes to achieve high coverage low latency, and guaranteed performance. The problems presented by real-world applications require High school or even an undergraduate level of understanding in graph theory as a mathematical tool to model relationships and interactions. This article focuses on how the graph theory can supplement communication protocols existing in IoT networks in terms of network topology, routing path, load, and fault tolerance in the AI era. Integrating AI with graph-based methods makes it possible to perform dynamic analyses to optimize networks, and perform predictive analytics and sophisticated kinds of anomaly detection. Using examples from practice and success stories, we explain how these approaches can be implemented and how they change people’s lives for the better. Lastly, we point out research directions as well as potential research opportunities in the areas of graph theory, artificial intelligence, and IoT to form large-scale, secure, and efficient IoT systems in the global world.
On Legal Means of Financial Security Ensuring
Authors:   Head of the Department of State and Legal Disciplines of the Kazan Institute (Branch) of the All-Russian State University of Justice, Sattarova Nuria A. , Gafarova Guzel R. ,   Head of the Department of Financial and Administrative Law of the Kazan Innovative University Named after V.G. Timiryasov
Published: January 2025

The article examines individual issues of applying legal means in the system of financial security; highlights the features
of legal regulation of financial control. financial monitoring and application of state coercion measures.
Koncepcje i tendencje rozwoju zawodu specjalisty rachunkowości zarządczej. Wymiar krajowy i międzynarodowy
Authors: Zarzycka Ewelina
Published: January 2025

W warunkach globalnej gospodarki rachunkowość zarządcza, generująca informacje niezbędne do podejmowania decyzji strategicznych oraz operacyjnego zarządzania przedsiębiorstwem, nabiera coraz większego znaczenia. Publikacja jest pierwszą w polskim piśmiennictwie pozycją, w której zaprezentowano tendencje rozwoju i funkcjonowania zawodu specjalisty rachunkowości zarządczej/controllingu w przedsiębiorstwach w Polsce na tle rozwiązań międzynarodowych .Krytyczna analiza wzbogacająca dotychczasowy stan wiedzy naukowej na temat kompetencji specjalisty rachunkowości zarządczej umożliwia sformułowanie odpowiedzi m.in. na takie pytania: Jak bardzo zróżnicowaną grupą zawodową są badani specjaliści w Polsce i jak bardzo odbiegają oni od profilu zawodowego ich odpowiedników w krajach rozwiniętych? Jakie zadania realizują oni aktualnie i jakie narzędzia do tego wykorzystują? Jakie wymagania w zakresie umiejętności, wiedzy i cech charakteru są niezbędne do wykonywania tego zawodu?
Przeprowadzone badania mogą stać się wskazówką zarówno dla uczelni wyższych w zakresie tworzenia i udoskonalania programów kształcenia, jak i dla pracodawców chcących zwiększyć efektywność procesów rekrutacji pracowników na stanowiska związane z rachunkowością zarządczą/controllingiem.
Znaczenie pojęć podatków i innych danin publicznych na gruncie Konstytucji z 1997 r.
Authors: Nowak Tomasz
Published: January 2025

W niniejszym opracowaniu dokonano analizy uwarunkowań, które wymagają uwzględnienia przy ustaleniu znaczenia użytych w Konstytucji pojęć podatków i innych danin publicznych. W pierwszej kolejności określono, jakie normy prawne zostały wyznaczone przy wykorzystaniu tych terminów. Następnie wskazano, że – z jednej strony – podatki i daniny publiczne są pojęciami, którymi posługuje się prawo finansowe, z drugiej zaś – jako pojęcia konstytucyjne mają znaczenia autonomiczne. Następnie rozważono, na ile w przypadku podatków i innych danin publicznych można mówić o pojęciach o ustalonym znaczeniu i na ile były nimi w okresie prac nad obecnie obowiązującą ustawą zasadniczą. Zweryfikowano, które z cech definiujących podatki i daniny publiczne zostały wyrażone w Konstytucji poprzez kontekst, w jakim zostały użyte w tym akcie prawnym.
Prawne granice wydatków publicznych – zarys problematyki
Authors: Pest Przemysław
Published: January 2025

Opracowanie prezentuje problematykę prawnych granic wydatków publicznych, które są prawnymi ograniczeniami swobody politycznej organów władzy publicznej w kreowaniu i realizacji wydatków publicznych. Wychodząc od trzech aspektów suwerenności finansowej państwa, przedstawiono i zbadano swobodę wydatkową państwa oraz wskazano na istnienie jej prawnych granic, do których zaliczono: wydatki sztywne, obowiązek dialogu, reguły fiskalne, procedury wydatkowania oraz kontrolę wykonania wydatków. Każda ze wskazanych grup prawnych granic wydatków publicznych została w tekście scharakteryzowana wraz ze wskazaniem jej konstytucyjnych podstaw.
Cło jako specyficzna danina publiczna
Authors: Gwardzińska Ewa
Published: January 2025

Problematyka niniejszego opracowania koncentruje się na analizie cła jako specyficznej daniny publicznej, która nie jest wskazana wprost w Konstytucji, nie jest również ustalana w formie ustawy, jak inne daniny publiczne i przez krajowego ustawodawcę. Cło, mimo posiadania cech podatku, nie jest podatkiem, jest pobierane przez polską administrację celną i stanowi dochód budżetu unijnego. Celem niniejszego tekstu jest próba nowego zdefiniowania cła, gdyż istniejące w literaturze ujęcia nie są jednolite, oraz określenie miejsca cła i opłat celnych w należnościach celnych, a także zasad konstrukcyjnych obliczania należnego cła, do których zaliczamy: pochodzenie towaru, wartość celną oraz taryfę celną.
Przywrócenie budżetowi państwa odpowiedniej rangi – konieczność czy utracona szansa
Authors: Jędrzejczyk Michał
Published: January 2025

Jedną z najważniejszych konkluzji Najwyższej Izby Kontroli sformułowanych w analizie wykonania ustawy budżetowej za rok 2020 było stwierdzenie konieczności przywrócenia budżetowi państwa odpowiedniej rangi związanej z jego szczególnym charakterem oraz centralną pozycją w systemie finansów publicznych. Uzasadnieniem powyższego stanowiska było ustalenie znaczącej nierównowagi finansowej państwa w 2020 r. spowodowanej planowaniem i dokonywaniem dużych operacji finansowych, prowadzących do wzrostu długu publicznego z pominięciem budżetu państwa. Zasadniczym celem opracowania jest zwrócenie uwagi na wciąż pogłębiający się proces pozbawiania ustawy budżetowej odpowiedniej rangi, w tym naruszania zasady wymagającej postrzegania ustawy budżetowej jako podstawy gospodarki finansowej państwa w danym roku budżetowym.
Breeding Cowpea (Vigna unguiculata L.) for High Seed Yield, Protein Content and Harvest Index: Genetic Parameters to Identify Useful Parents
Authors: Parmar Hemal K. , Sharma Manish , Patel P.R. , Soni N.V. , Zala H.N.
Published: January 2025

Background: Cowpea is a highly adaptable, versatile and nutrient-dense grain legume hampered by low productivity across the globe. The selection of parents for getting high frequency of heterotic hybrids is a topic of recurrent contention among plant breeders. So with regard to obtaining high seed yield, harvest index and protein content, the goal of the current study is to identify parents which upon hybridization will generate superior heterotic hybrids. Methods: Three testers and seven lines were used to develop 21 crosses, totalling to 31 genotypes in the experimental material evaluated at Pulses Research Station, SDAU, Sardarkrushinagar, Gujarat, India. The overall heterotic status (high or low) and gca status (high or low) of each parent and hybrid were determined based on three characters viz., harvest index, protein content and seed yield. Furthermore, the hybrids were classified into various classes according to the parents gca status. Result: Examining the heterotic effect of the crosses along with the individual performance showed that the GC 7 x GC 4 and EC 724035 x PGCP 12 crosses were the best for seed yield per plant, harvest index and protein content. Three of the 7 lines viz., JLS 60, EC 72 3909 and PL 4 and two of the three testers i.e. PGCP 12, PL 7 displayed high overall gca status. Among the hybrids, eleven (52.38%) and twelve (57.14%) were categorised as having high (H) overall sca and heterotic status, respectively, while the remaining crosses were categorised as having low (L) overall sca and heterotic status. As non-additive gene action for these traits predominated in current study, heterotic hybrids for these traits were generated by parents with all combinations i.e. high, contrasting, or even low gca effects. Therefore, when selecting parents based on gca effects, careful consideration should be given to the sort of gene action governing that character.
The Mediating Effect of Financial Competency on Psychological Well-Being: Self-Efficacy
Authors:   Korean Home Economics Education Association, Hong Si-Ra , Lee Jang-Han
Published: January 2025

The purpose of this study is to identify the importance of financial competency as a psychological resource, rather than the size of income or wealth, in influencing psychological well-being. And to verify the mediating effect of self-efficacy in the relationship between financial competency and psychological well-being. To achieve this, an analysis was conducted on 283 economically active adults to examine the effect of financial management competency on psychological well-being mediated by self-efficacy. Economic conditions were included as control variables to compare the effect sizes of key variables. Statistical analyses using IBM SPSS 25 and SPSS PROCESS Macro v4.0 revealed that self-efficacy partially mediated the relationship between financial competency and psychological well-being. Among the three components of financial management competency, self-efficacy fully mediated the relationship between financial management attitude and psychological well-being, while it partially mediated the relationship with financial management skills. Furthermore, Hayes’ bootstrap analysis confirmed that the indirect effect of financial competency on psychological well-being through self-efficacy was significantly greater than the indirect effect of economic conditions. The findings of this study can serve as foundational data for a deeper understanding of the interaction between financial competency, psychological well-being, and self-efficacy. Furthermore, the study highlights the necessity of psychological support aimed at enhancing financial competency and self-efficacy to promote individuals' psychological well-being.
Mario Bava (1914-1980)
Authors: Pita Dueñas César , Martínez Sipión Juan Carlos
Published: January 2025

Hijo de un pionero del cine italiano, renovador absoluto del cine de terror, iniciador del giallo, artífice del slasher moderno, creador de atmósferas únicas e inquietantes, maestro de la iluminación exacerbada y del cromatismo alucinado, padre de la violencia postmoderna y señor de lo macabro... El legado de Mario Bava es tan magnífico que ha sido reconocido como influencia clave en la obra de Tim Burton, Martin Scorsese, John Carpenter y Quentin Tarantino.
Plantations clonales d'Eucalyptus hybrides au Congo
Authors: Delwaulle J.C.
Published: January 2025

La présence de spécimens remarquables parmi les Eucalyptus hybrides au Congo a conduit à la mise au point d'une technique permettant d'assurer leur multiplication végétative.L'application de cette technique à des plantations clonales extensives a entraîné une révision des pratiques sylvicoles et la mise au point d'une gestion appropriée.La recherche produit actuellement des hybrides artificiels qui remplaceront à l'avenir ceux qui sont actuellement utilisés.
Increased Chemokine Production is a Hallmark of Rhesus Macaque Natural Killer Cells Mediating Robust Anti-HIV Envelope-Specific Antibody-Dependent Cell-Mediated Cytotoxicity
Authors: Nohara Junsuke , Evangelous Tyler , Berry Madison , Beck Whitney , Mudrak Sarah , Jha Shalini , Reeves R. Keith , Wiehe Kevin J. , Pollara Justin , Tomaras Georgia , Bradley Todd , Ferrari Guido
Published: January 2025

Background: Antibody-dependent cell-mediated cytotoxic (ADCC) response mediated by natural killer (NK) cells correlates with decreased infection risk in studies involving simian immunodeficiency virus (SIV)/simian-human immunodeficiency virus (SHIV), and human immunodeficiency virus (HIV) vaccine candidates. Currently, the heterogeneities of the functional subset of rhesus macaque natural killer (RMNK) cells are under-characterized. 
Method: We engaged the RMNK cells with ADCC-mediating anti-HIV-1 monoclonal antibodies (ADCCAbs) or anti-CD16 antibodies and used CD107a expression as the surrogate marker for RMNK cells actively involved in ADCC. CD107a+ and CD107a– populations were analyzed individually using single-cell RNA sequencing. 
Results: Subsets of CD107a+ RMNK cells produced more chemokines than the others, suggesting that these cells not only eliminate infected cells but also provide immunoregulatory signals and potentially curb HIV-1 replication. Crosslinking of Fc gamma receptor IIIa via anti-CD16 antibodies resulted in a significantly higher percentage of degranulating cells than via ADCCAbs. However, the magnitude of degranulation and chemokine production was reduced by 6- to 30-fold. 
Conclusion: The quality and quantity of receptor engagement are important determinants of achieving an optimal level of the RMNK response.
Hypervirulent Klebsiella pneumoniae (hvKp): Overview, Epidemiology, and Laboratory Detection
Authors: Al Ismail Dania , Campos-Madueno Edgar I. , Donà Valentina , Endimiani Andrea
Published: January 2025

Klebsiella pneumoniae (Kp) is a Gram-negative pathogen responsible for both hospital- and community-acquired infections. Kp is classified into 2 distinct pathotypes: classical K. pneumoniae (cKp) and hypervirulent K. pneumoniae (hvKp). First described in Taiwan in 1986, hvKp are highly pathogenic and characterized by unique phenotypic and genotypic traits. The hypermucoviscous (hmv) phenotype, generally marked by overproduction of the capsule, is often associated with hvKp, although recent studies show that some cKp strains may also have this characteristic. Furthermore, hvKp can cause severe community-acquired infections in healthy people and have been associated with metastatic infections such as liver abscess, meningitis, and endophthalmitis. HvKp are increasingly being reported in hospital-acquired settings, complicating treatment strategies. In particular, while hvKp have historically been antibiotic-susceptible, multidrug-resistant (MDR) strains have emerged and pose a significant public health threat. The combination of high virulence and limited antibiotic options demands further research into virulence mechanisms and rapid identification methods. 
This review discusses the epidemiology of hvKp and their virulence factors, highlighting the importance of phenotypic and non-phenotypic tests, including next-generation molecular diagnostics, for the early detection of hvKp.
Prokaryotic diversity of the rhizosphere from Argentinean wine-producing regions
Authors: Toscani Andres Martin , Oyuela Aguilar Monica , Rey Constanza , Rocco Welsh Ramiro Eugenio , Gobbi Alex , Del Papa Maria Florencia , Semorile Liliana Carmen , Hansen Lars Hestbjerg , Pistorio Mariano
Published: January 2025

Argentina stands as the seventh-largest wine producer. Its broad geographical and climatic diversity contributes to the production of wines with distinctive regional characteristics. Microorganisms associated with vines play a crucial role in wine quality. Recent studies have revealed significant differences in microbial communities between grape varieties and vineyard locations. In this work, we conducted a comprehensive examination of the diversity of prokaryotic microorganisms in the rhizosphere of vineyards located in three wine regions of Argentina. We used next-generation sequencing methods, concentrating the analysis on two relevant cultivars, Malbec and Cabernet Sauvignon. Both varietals have attracted significant interest in recent research given their distinctive characteristics, which vary according to the geographic growing region. The soil physicochemical properties of the vineyards analysed, were evaluated by principal component analysis, and clustering analysis, allowing us to identify differences among them. Despite no significant variations were observed between Malbec and Cabernet-Sauvignon vineyards, significant differences in microbial diversity were observed among the analysed locations. Taxonomic identification showed distinct microbial compositions across regions, with notable differences in abundance at the family level. Canonical correspondence analysis indicated correlations between soil physicochemical properties and microbial families, highlighting the influence of soil characteristics on microbiota composition. These differences in microbial populations set a site-specific prokaryotic profile that could be used as an identifying signature. Comprehending these interactions is essential for improving vineyard management techniques, ultimately shaping the sensory characteristics of wines crafted in diverse regions.
Detecção de Perdas Não Técnicas em Sistemas de Distribuição de Energia Elétrica via Sistema de Inferência Fuzzy
Authors: Vitor G. Silveira  , Andréia S. Santos  , Lucas Teles Faria
Published: January 2025

Non-technical losses cause financial losses to power utilities and other damages: tax collection reduction, energy quality deterioration, and increase in energy bill. In this sense, the most studies in the specialized literature present methodologies to combat losses with focus on techniques for automatic extraction of knowledge. These techniques do not allow the incorporation of specialist's knowledge in trivial way. Thus, this study presents a methodology for detecting irregular consumer units via fuzzy inference system, where the specialist's knowledge in non-technical losses is intuitively incorporated through fuzzy rules. The methodology is developed in MATLAB® environment and it presents high values for the confusion matrix metrics: success rate (
First Use of UV-Light-Sensitive Biomaterial in Hernia Repair
Authors: Prowans Piotr , Goszczynska Agata , Demirci Gokhan , Czapla Norbert , Bargiel Piotr , Samad Rabi , El Fray Miroslawa
Published: January 2025

Surgical mesh is the standard for hernia repair, however, suture fixation can cause chronic pain and tissue irritation. Commonly used fibrin or cyanoacrylate glue have some limitations therefore, new UV-curable and biodegradable PhotoBioCure biomaterial was used for anastomosis of surgical mesh incisions in treating inguinal hernia. The mesh was fixed with PhotoBioCure biomaterial, which was UV-cured in 3 minutes. Follow-up lasted 24 months, with regular clinical supervision including ultrasonography, thermal imaging, and assessment of VAS, CCS, EuraHS QoL, and SF-36. The use of PhotoBioCure reduced surgical time compared to suture fixation. VAS pain scores decreased from 2.6 (± 0.55) on the first day after surgery to 0.8 (± 0.84) after 8 days, with complete pain resolution after 6 weeks. The CCS showed a gradual decline in foreign body sensation, from 54.08% on the first day post-surgery to 30.38% after 6 weeks. No recurrence or complications, like hematomas or infections, occurred over 24 months. Patients reported improved quality of life (based on SF-36 questionnaire) from 77.8 pre-surgery to 92.4 after 24 months. PhotoBioCure is an innovative biomaterial for efficient anastomosis of surgical mesh incisions in inguinal hernia repair, reducing procedure duration and surgical complexity without increasing the risk of post-operative complications.
Elementary Proof of Beal’s Conjecture
Authors: Barghout Kamal
Published: January 2025

The 6 variable general equation of Beal’s conjecture equation xa + by = zc, where x,y,z,a,b , and c are positive integers, and a,b,c≥3, is identified as an identity made by expansion of powers of binomials of integers c and y ; where x, y and z have common prime factor. Here, a proof of the conjecture is presented in two folds: First, powers of binomials of integers and expand to all integer solutions of Beal’s equation if they have common prime factor. Second, powers of binomials of coprime integers x, y expand in two terms such that if two of the three terms of the equation are perfect powers the third one is not a perfect power.
Comparable Immune Escape Capacity Between KP.2 and Other SARS-CoV-2 Variants in the Central Chinese Population After the First COVID-19 Booster
Authors: Yuan Youhua , Xu Junhong , Chen Guohua , Ouyang Libo , Liu Yan , Ma Bing , Wang Baoya , Yan Wenjuan , Zhang Qi , Ma Qiong , Zhang Jiangfeng , Mao Xiaohuan , Zhang Xiaohuan , Geng Yiman , Wang Huiling , Li Yi , Zheng Peiming , Wang Rong
Published: January 2025

The neutralisation ability of homologous and heterologous booster vaccinations against the KP.2 variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is unknown. We evaluated Omicron variants (XBB.1, JN.1, and KP.2) neutralisation in participants vaccinated with heterologous versus homologous boosters. In 38 participants each from homologous and heter-ologous booster groups over 690 days, serum pseudovirus neutralisation was tested against the prototype, XBB.1, JN.1, and KP.2 variants to detect neutralisation titres. Total concentration of neutralising antibodies against SARS-CoV-2 receptor-binding domain was measured by en-zyme-linked immunosorbent assay. On throat swab samples, reverse transcription polymerase chain reaction was used to verify breakthrough SARS-CoV-2 infections in participants. Geometric mean neutralising titres against the prototype, total, XBB.1, JN.1, and KP.2 variants were 488.3, 54.5, 42.9, 39.7, and 39.8, respectively. Neutralisation assays revealed 12.3-, 12.3-, and 11.4-fold reduc-tions against JN.1, KP.2, and XBB.1 variants, respectively, compared with the prototype. No sig-nificant difference occurred in neutralising antibody titres among JN.1, KP.2, and XBB.1 Omicron variants. Homologous booster group and males produced fewer neutralising antibodies than heterologous booster group and females, respectively. KP.2 Omicron variant exhibited compa-rable immune evasion properties with other variants. A second different-type or broad-spectrum booster may improve neutralisation against Omicron variants KP.2.
Multiclass Text Classifications of Sindhi Newspaper Articles
Authors: Kumar Sanjai , Vavekanand Raja
Published: January 2025

The classification of newspaper articles into predefined categories is a key challenge in Natural Language Processing (NLP), particularly for underexplored languages like Sindhi, which present unique linguistic complexities. This study developed a custom-curated Sindhi newspaper dataset containing 6,156 articles categorized into entertainment, sports, and technology. Four deep learning models Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory Networks (LSTMs), and a hybrid CNN-LSTM model were trained using optimized hyperparameters and evaluated using metrics such as accuracy, precision, and recall. The dataset underwent rigorous preprocessing, including tokenization and normalization, to enhance model performance. Each model was trained using an 80-20 train-test split, and early stopping was employed to mitigate overfitting. The CNN and hybrid models achieved the highest accuracy of 96%, effectively capturing spatial and sequential patterns. LSTM closely followed with 95.85%, while the RNN lagged at 67%, highlighting its limitations with long-term dependencies. These results underline the potential of hybrid architectures and advanced sequence models for text classification tasks in low-resource languages like Sindhi. Source Code: https://github.com/rajavavek/Multiclass-Classification-of-Sindhi-Newspaper-Article.
An Innovative Approach to the IME Process Applied to Stabilized Landfill Leachate
Authors: Ładyńska Joanna Agnieszka , Kucharska Małgorzata Anna , Naumczyk Jeremi Hubert
Published: January 2025

Conventional wastewater treatment is often insufficient in the case of mature landfill leachate. Among novel methods internal micro-electrolysis (IME) has been recently recognized as an effective method for refractory wastewaters treatment. The aim of this study was the evaluation of the impact of various parameters (pH, time, types and ratios of Fe/GAC, H2O2 dose and time of application, soaking of GAC in LL) on the efficiency of the IME process applied to mature landfill leachate. As microelectrodes were used waste cast-iron chips and granulated activated carbon (GAC). Application of a multi-step treatment of leachates: PC>m-IME>m-IME/H2O2 resulted in 82.1% COD removal and significant increase in bio-degradability (BOD5/COD rose up to 0.39). The optimal parameters were established as follows: pH 3, 120 min, ratio Fe/GAC 40/10 g/g/dm3 and ratio COD/H2O2 = 1/2. Results showed that the PC is a reasonable pretreatment process before IME - improvement in total COD removal was up to 12.5%. COD removal in IME process in-creased with the increase in GAC dose only up to a certain level. Also too high doses of Fe negatively affected the efficiency of the IME process which shows that the efficiency depends not only on the dose, but also on the mass ratio of Fe/GAC. Addition of H2O2 significantly improved the COD removal effectiveness, especially when it was applied after 120 min of the m-IME process. Results showed also that soaking of GAC in LL before the process did not eliminate sorption process.
A Framework for Real-Time Autonomous Robotic Sorting and Segregation of Nuclear Waste: Modelling, Identification, and Control of Dexter Robot
Authors: Poozhiyil Mithun , Argin Omer F , Rai Mini , Esfahani Amir G , Hanheide Marc , King Ryan , Saunderson Phil , Moulin-Ramsden Mike , Yang Wen , García Laura Palacio , Mackay Iain , Mishra Abhishek , Okamoto Sho , Yeung Kelvin
Published: January 2025

Robots are essential for carrying out tasks, for example, in a nuclear industry, where direct human involvement is limited. However, present-day nuclear robots are not versatile due to limited autonomy and higher costs. This research presents a teleoperated DexterTM nuclear robot’s transformation into an autonomous manipulator for nuclear sort and segregation tasks. The DexterTM system comprises a single/dual arm client manipulator designed to operate in extreme radiation environments and a similar single/dual arm local manipulator. In this paper, initially, a kinematic model and convex optimization based dynamic model identification of a single arm DexterTM manipulator is presented. This model is used for autonomous DexterTM control through Robot Operating System (ROS). A new integration framework incorporating vision, AI-based grasp generation and an intelligent radiological surveying method for enhancing the performance of autonomous DexterTM is presented. The efficacy of the framework is demonstrated on a mock-up nuclear waste test-bed using similar waste materials found in the nuclear industry. The experiments performed show potency, generality and applicability of the proposed framework in overcoming the entry barriers for autonomous systems in regulated domains like the nuclear industry and accelerate the adoption of automation without reinventing the wheel.
Unusual High-Impact Frustration Experience – UNHIFE
Authors: Rodrigues Juliano Flavio , de Araújo Filho Gerardo Maria
Published: January 2025

Existential experiences significantly influence human emotions in various ways. The dichotomy between pleasure and discomfort necessitates particular attention to adverse experiences within a psychopathological framework. Displeasure has been an intrinsic element of human existence from birth. Pain serves as a catalyst for growth, and intellectual development is inherently linked to the acquisition of problem-solving skills. However, the processing of displeasure is not always straightforward. Among the multitude of challenging existential circumstances, frustrations are particularly salient. These frustrations frequently arise throughout the human experience, with many being resolved swiftly and without considerable discomfort. Conversely, certain disappointments may necessitate years of psychological processing. Some of these frustrations exert a profound emotional impact, potentially precipitating mental disorders such as anxiety and depression. High-impact frustrations, often related to commonplace situations such as unemployment and divorce, can have even greater consequences when they engender profound disappointments. Such extraordinary high-impact frustrations demand extensive deconstruction of expectations and can severely affect mental health. A thorough understanding of this phenomenon, termed UNHIFE (high-impact frustration experience), may elucidate the phenomenology associated with numerous neuropsychiatric disorders.
Interactions Between Endosymbionts Wolbachia and Rickettsia in Tetranychus turkestani: Cooperation or Antagonism?
Authors: Wang Sha , Wang Xinlei , Basit Ali , Wei Qiancheng , Zhao Kedi , Zhao Yiying
Published: January 2025

Maternally inherited endosymbionts are widespread in arthropods, with multiple symbionts commonly co-existing within a single host, potentially competing for or sharing limited host resources and space. Wolbachia and Rickettsia, two maternally-inherited symbionts in arthropods, can co-infect hosts, yet research on their combined impacts on host reproduction and interaction remains scarce. This study used diverse parthenogenetic backcross and antibiotic screening to ex-plore the reproductive effects of these two symbionts on Tetranychus turkestani. Results showed that single Rickettsia infection induced male-killing in the amphigenesis of T. turkestani, leading to ar-rhenotokous embryo death and fewer offsprings. Single Wolbachia infection induced strong cyto-plasmic incompatibility (CI). During dual infection, CI intensity decreased, as Rickettsia's male-killing antagonized Wolbachia - induced CI. Dual-infected mites had increased oviposition, lower mortality, a higher female-to-male ratio, and more offsprings, thus enhancing T. turkestani's fitness. These findings will be helpful to understand the nature of host-endosymbiont interaction and the potential for evolutionary conflicts, offering insights into their co-evolutionary relationship.
Algorithmic Generation of Realistic 3D Graphics for Liquid Surfaces within Arbitrary-Form Vessels in a Virtual Laboratory
Authors: Karpouzas Dimitrios S. , Zafeiropoulos Vasilis , Kalles Dimitris
Published: January 2025

Hellenic Open University has developed Onlabs, a virtual biology laboratory designed to safely and effectively prepare its students for hands-on work in the university’s on-site labs. This platform simulates key experimental processes, such as 10x TBE solution preparation, agarose gel preparation and electrophoresis, which involve liquid transfers between bottles. However, accurately depicting liquid volumes within complex-shaped laboratory vessels, such as Erlenmeyer flasks and burettes, remains a challenge. This paper addresses this limitation by introducing a unified parametric framework for modeling circular cross-section pipes, including straight pipes with constant diameter, curved pipes with constant diameter and straight conical pipes. Analytical expressions are developed to define the position and orientation of points along a pipe's central axis, as well as the surface geometry of composite pipes formed by combining these elements in planar configurations. The primary goal is to enable the precise algorithmic generation of 3D graphics representing the surfaces of liquids within various laboratory vessels. By leveraging these parametric models, liquid volumes can be accurately visualized, reflecting the vessels’ geometries and improving the realism of simulations.
Development of A Comprehensive Evaluation Scale for LLM-Powered Counseling Chatbots (CES-LCC) Using the eDelphi Method
Authors: Bolpagni Marco , Gabrielli Silvia
Published: January 2025

Background/Objectives: With advancements in Large Language Models (LLMs), counseling chatbots are becoming vital tools for delivering scalable and accessible mental health support. Traditional evaluation scales, however, fail to adequately capture the sophisticated capabilities of these systems, such as personalized interactions, empathetic responses, and memory retention. This study aims to design a robust and comprehensive evaluation scale, the Comprehensive Evaluation Scale for LLM-Powered Counseling Chatbots (CES-LCC), using the eDelphi method to address this gap. Methods: A panel of 16 experts in psychology, artificial intelligence, human-computer interaction, and digital therapeutics participated in two iterative eDelphi rounds. The process focused on refining dimensions and items based on qualitative and quantitative feedback. Initial validation, conducted after assembling the final version of the scale, involved 49 participants using the CES-LCC to evaluate an LLM-powered chatbot delivering Self-Help Plus (SH+), an Acceptance and Commitment Therapy-based intervention for stress management.Results: The final version of the CES-LCC features 27 items grouped into nine dimensions: Understanding Requests, Providing Helpful Information, Clarity and Relevance of Responses, Language Quality, Trust, Emotional Support, Guidance and Direction, Memory, and Overall Satisfaction. Initial real-world validation revealed high internal consistency (Cronbach’s alpha = 0.94), although minor adjustments are required for specific dimensions, such as Clarity and Relevance of Responses.
The Impact of Climate Change on the Spread of Airborne Pollen in Northern Italy - The Results Of 27 Years of Monitoring in Parma
Authors: Albertini Roberto , Coluccia Alessia , Mohieldin Mahgoub Ibrahim Mostafa , Colucci Maria Eugenia , Zoni Roberta , Affanni Paola q , Veronesi Licia , Pasquarella Cesira
Published: January 2025

Pollen grains play an important role in the etiopathogenesis of seasonal respiratory allergies, which are increasing in prevalence and severity worldwide. Climate change is one of the possible explanations for the increase of pollen allergies enabling plants to produce more allergenic pollen, in larger quantities and longer periods. Pollen count data can be considered the proxy for aeroallergen exposure and long pollen data sets allow to investigate the trends in seasonal characteristics over time. This study examines temporal variations in seasonality and load of airborne pollen and meteorological data recorded over 27 years in Parma (Italy). The study was performed collecting pollen by a Hirst spore trap considering the following taxa: Betula, Corylus, Cupressaceae-Taxaceae, Platanus, Ambrosia, Poaceae, Total pollen and Alternaria fungal spores. Start and end date, duration, date of peak, peak value, and Seasonal Pollen Integral (SPIn) were examined. Temporal variations in pollen seasons were displayed as the number of days from January 1 (DOY, day of the year). Daily averages temperature, relative humidity and total rainfall were considered. Linear regression analysis was carried out to investigate trends in data over time. The start date turned precocious for Corylus and Poaceae, but late for Betula. The end date was postponed for Poaceae and Total pollen, as well the duration of pollen seasons was longer for Poaceae and Total pollen, the duration became shorter for Betula. The peak date was anticipated for Poaceae, and the peak values were reduced for Poaceae and Total pollen. A weak positive trend was observed for SPIn of Corylus. Regarding Ambrosia, the duration was shorter, and the peak date was postponed. No significant differences were observed for Platanus and Alternaria spores. A significant decrease in the relative humidity and a significant increase of annual average temperature were observed. The results of our study represent a contribution to better understanding the impact on human health of environmentally changing conditions. Moreover, it should be considered that not only the seasonal respiratory allergies may be related to the variation of climate and its impact on pollen load and pollen season, but also it could be related to chronic respiratory disease and cardiovascular diseases. This highlights gaps in current knowledge and the need to quantify the impact of climate change in a One Health perspective to provide useful information to determine exposure of the allergic population to pollen and to plan public health preventive measures.
Impact of Praziquantel Mass Drug Administration after Several Rounds on Schistosomiasis
Among School-Aged Children in Abuja, Nigeria
Authors: Jacob Solomon Monday , Akinbo Sophie Y , Oluwole Akinola Stephen , Agbana Temitope , Omoruyi Zainab , Okungbowa Michael A , Jan-Carel Diehl , Akinbo Fredrick O
Published: January 2025

Introduction: One of the global strategies for elimination of schistosomiasis is by mass treatment of school-aged children with a single oral dose of praziquantel (40mg/kg) without a prior individual diagnosis, with a target of >75% treatment coverage. This study was conducted to determine the endemicity of schistosomiasis among school-aged children and adults in Abuja, Nigeria.
Methods: A total of 1,370 participants were recruited which consisted of 667 (48.67%) males and 703 (51.31%) females. Urine and stool specimens were collected from each participant and analyzed using standard procedures.
Results: The overall prevalence of schistosomiasis was 27.5% in this study with Abuja Municipal having the highest prevalence of 49% while the least (6.1%) was reported in Bwari LCA. The prevalence of schistosomiasis significantly differs (P
Innovative Quantum Encryption Method for RGB Images Based on Bit-Planes and Logistic Maps
Authors: Basiri Saeed , Matin Laleh Farhang , Naseri Mosayeb
Published: January 2025

This study presents a novel encryption method for RGB (Red-Green-Blue) color images that combines scrambling techniques with the logistic map equation. In this method, image scrambling serves as a reversible transformation, rendering the image unintelligible to unauthorized users and thus enhancing security against potential attacks. The proposed encryption scheme, called Bit-Plane Representation of Quantum Images (BRQI), utilizes quantum operations in conjunction with a one-dimensional chaotic system to increase encryption efficiency. The encryption algorithm operates in two phases: first, the quantum image undergoes scrambling through bit-plane manipulation, and second, the scrambled image is mixed with a key image generated using the logistic map. To assess the performance of the algorithm, simulations and analyses were conducted, evaluating parameters such as entropy (a measure of disorder) and correlation coefficients confirm the effectiveness and robustness of this algorithm in safeguarding and encoding color images. The results show that the proposed quantum color image encryption algorithm surpasses classical methods in terms of security, robustness, and computational complexity.
The Impact of Seasonality on Mental Health Disorders: A Narrative Review and Extension of the Immunoseasonal Theory
Authors: Modzelewski Stefan , Naumowicz Maciej , Suprunowicz Maria , Oracz Aleksandra , Waszkiewicz Napoleon
Published: January 2025

The impact of weather on mental illness is widely debated, but the mechanism of this relationship remains unclear. The immunoseasonal theory suggests that in winter, a T-helper 1 (Th1) response predominates, impairing Prefrontal Cortex (PFC) control, which exacerbates symptoms of depression, while after it, in summer, a Th2 response predominates in immunologically prone indyviduals, activating cortical and mesolimbic centers, which can exacerbate symptoms of psychosis. This paper discusses the evidence for the immuneseasonal theory, with a particular focus on the inflammatory profile in psychiatry and seasonal exacerbations of mental illness. Winter Th1 severity may worsen depression and anxiety, while summer Th2 dominance appears to be associated with exacerbations of schizophrenia, mania, impulsivity, and suicide risk. It is possible that the mechanism of Th1 response potentiation and deterioration of PFC function is common to most psychiatric entities and is nonspecific. Characteristic dysfunctions within an individual determine further differences in clinical manifestations. The mechanism of Th2 potentiation may not be limited to mania and psychosis, but may also be associated with increased impulsivity and suicide risk. While this mechanism seems plausible, further research, especially analyzing markers of inflammatory and anti-inflammatory responses, is needed to better understand and confirm it.
Occurrence of Pharmaceuticals in Surface Water: A Socioscientific Issue in Primary Education to Promote Students’ Argumentation Skills
Authors: Fernández-Huetos Nuria , Pérez-Martín José Manuel , Guevara-Herrero Irene , Esquivel-Martín Tamara
Published: January 2025

The teaching of environmental education must change to promote critical and reflective engagement with environmental problems. This study introduces a social science question for primary education focused on pharmaceuticals in surface water. The aims of the paper are to evaluate: the level of students' performance in arguing their answers in relation to the reference answer; their use and interpretation of provided materials from which they draw the evidence to justify their arguments; and the type of solutions they propose. This is done by analyzing the content of their written reports and the discourse during their group discussions. Statistical tests are also used to compare their individual and group performance. The results show that students perform at an in-termediate level. They use text and video effectively but struggle with graphs and maps. Their proposed solutions are contextually appropriate and consider multiple perspec-tives. Notably, their performance is similar whether working individually or in groups. All in all, this pedagogical intervention in the framework of scientific practices and transformative environmental education supports the development of scientific think-ing and sheds light on how students process information when addressing socio-environmental issues.
Isolation, Spectral Assignments and Absolute Configuration of a Linear Hexapeptide from the Culture Broth of the Plant-Associated Actinomycete Actinomycetospora sp. Ca-287887
Authors: Georgousaki Katerina , Tsafantakis Nikolaos , Gonzalez Ignacio , Martín Jesús , Mackenzie Thomas A. , Gumeni Sentiljana , Trougakos Ioannis P. , Reyes Fernando , Genilloud Olga , Fokialakis Nikolas
Published: January 2025

A high proteolytic resistant hexapeptide (αs1-CN 181–186) (1) along with two known 2,5-diketopiperazines, namely cyclo-(L-Pro-L-Phe) (2) and cyclo-(L-Pro-L-Tyr) (3), and the carboxylic acid 2-hydroxyphenylacetic acid (4) were isolated from the actinomycete strain CA287887. The morphological, 16S rRNA gene sequence and phylogenetic data of the strain exhibited a high similarity with members of the genus Actinomycetospora. The structure of 1 was thoroughly investigated for the first time by the extensive use of 1D and 2D NMR experiments while its absolute configuration was determined by Marfey’s analysis. The anti-tyrosinase effects of aforementioned compounds were investigated in vitro by using kojic acid as positive control (IC50 14.07μΜ). Compound 3 exhibited the highest activity (IC50 28.69), followed by compound 4 (IC50 98.29). Compound 1 was further evaluated for cytotoxicity against HepG2, A2058, A549 and MiaPaca-2 cell lines. At all the tested concentrations (0.01-200 μg/ml) no cytotoxic effect was observed.
Radial Sensory Nerve to Anterior Interosseous Nerve Transfer for Symptomatic Neuromas- Clinical Outcomes and a Transfer Classification System
Authors: Jeffs Alexander , Fisher Margaret , Wellborn Patricia K. , Allen Andrew D. , Lauck Bradley J. , Baumann Charles , Luther Guarav Aman
Published: January 2025

Background: Radial sensory nerve (RSN) injuries occur during common surgical procedures or injuries to the wrist and often result in the formation of painful neuromas. Management strategies of primary repair or secondary reconstruction are limited by poor patient satisfaction. We present a targeted muscle reinnervation (TMR) technique, its clinical outcomes, and a novel classification system for the treatment of recalcitrant RSN neuromas with transfer of the RSN to the anterior interosseous nerve (AIN). Methods: Cadaveric specimens were used to devise a classification system for transfer. RSN to AIN transfer was performed after simulated injury at three levels: proximal, at, and distal to the bifurcation. Transfer was performed in five patients with symptomatic recalcitrant RSN neuromas. Clinical and patient-reported outcomes were prospectively collected for one year. Results: A cadaveric classification system was devised to guide nerve transfer. Five patients underwent RSN to AINN transfer for symptomatic recalcitrant RSN neuromas. The mean visual analog scale (VAS) pain score significantly improved by 6±2 points. The mean Quick Disabilities of Arm, Shoulder, & Hand (DASH) scores significantly improved by 37±11 points. The wrist flexion/extension arc significantly improved by 30±14 °, and the radial/ulnar deviation arc significantly improved by 10±3 degrees. Conclusions: Our classification system can guide intraoperative decision-making for RSN to AIN transfer based on the zone of RSN injury. RSN to AIN transfer resulted in significant improvement in QuickDASH and VAS Pain scores that exceeded the established thresholds for substantial clinical benefit.