bluuebunny/crossref_metadata_2025 huggingface dataset:
Simulation Analysis of Electromagnetic Environment Effect and Shielding Effectiveness for VPX Chassis under Plane Wave Radiation
Authors: Ni Hongkun , Jiang Hong , Li Xinbo , Jia Qian , Wang Xiaohui
Published: March 2024

The chassis based on the VPX bus standard structure has been widely applied to the fields of vehicle, missile, radar, etc. In this paper, we analyze the electromagnetic environment effect on VPX chassis via the CST software, and investigate the electromagnetic coupling characteristics of VPX chassis under 20 v/m plane wave radiation according to the RS103 test defined in the MIL-STD-461G standard. By simulation, we analyze the electromagnetic coupling paths of the VPX chassis, find the key positions of the electromagnetic protection such as the air intake, air outlet, trapdoor, and panel gaps, and we propose the electromagnetic protective measures for the weak parts of the VPX chassis. The electromagnetic shielding effectiveness before and after protection design is evaluated. Finally, the simulation results are verified by the experiments. It has guiding significance for the electromagnetic protection design of VPX chassis.
On the Impact of CDL and TDL Augmentation for RF Fingerprinting Under Impaired Channels
Authors: Gul Omer Melih , Kulhandjian Michel , Kantarci Burak , D’Amours Claude , Touazi Azzedine , Ellement Cliff
Published: March 2024

Cyber-physical systems have recently been used in several areas (such as connected and autonomous vehicles) due to their high maneuverability. On the other hand, they are susceptible to cyber-attacks. Radio frequency (RF) fingerprinting emerges as a promising approach. This work aims to analyze the impact of decoupling tapped delay line and clustered delay line (TDL+CDL) augmentation-driven deep learning (DL) on transmitter-specific fingerprints to discriminate malicious users from legitimate ones. This work also considers 5G-only-CDL, WiFi-only-TDL augmentation approaches. RF fingerprinting models are sensitive to changing channels and environmental conditions. For this reason, they should be considered during the deployment of a DL model. Data acquisition can be another option. Nonetheless, gathering samples under various conditions for a train set formation may be quite hard. Consequently, data acquisition may not be feasible. This work uses a dataset that includes 5G, 4G, and WiFi samples, and it empowers a CDL+TDL based augmentation technique in order to boost the learning performance of the DL model. Numerical results show that CDL+TDL, 5G-only-CDL, and WiFi-only-TDL augmentation approaches achieve 87.59%, 81.63%, 79.21% accuracy on unobserved data while TDL/CDL augmentation technique and no augmentation approach result in 77.81% and 74.84% accuracy on unobserved data, respectively.
SMART: Secured and Mobility Aware Routing Technique for Opportunistic IoT Network in Smart Cities
Authors: Kumar S. P. Ajith , Thakur Hardeo Kumar , Gupta Koyel Datta , Sharma Deepak Kumar
Published: March 2024

Transferring data between nodes in the Opportunistic Internet of Things (OppIoT) network may lead to the transmission of multiple copies of each message, which can increase communication costs and jeopardise network security. This necessitates a routing method that is effective and can address both problems. To protect transmitted data and reduce communication overhead, this study suggests a Secured and Mobility Aware Routing Method (SMART) routing algorithm for OppIoT networks in smart cities. With a buffer size of 30 MB and an overhead ratio of 27.9, the delivery probability can be increased by more than 50%. The simulation’s findings demonstrate that, in terms of delivery probability, overhead ratio, and reports, the proposed SMART protocol outperforms more traditional routing methods.
Gradient Boosting for Predicting the Relation Between Bio-medical Signals and Seizures Using LGBM and XGBoost
Authors: Kapoor Bhaskar , Nagpal Bharti
Published: March 2024

Background and aim: In recent years, research in the fields of brain-computer interfacing techniques and related areas are developing at a very rapid rate with the help of exploding of Artificial Intelligence, Machine Learning and Deep Learning. A new concept of Gradient Boosting has become popular research area among the researchers related to the field of automatic classification of Electroencephalograph (EEG) signals for predication of mental health issues like seizures.
Methods: However effective feature extraction from EEG and accurately classify them with efficient classifiers is still an important task and attracted wide attention in this area. Therefore in this paper, we presented the detailed mathematical analysis of these methods and ensemble learnings based EEG signals classification method for seizures classification in EEG using Extreme Gradient Boosting Model such as Light Gradient Boosting Machine Learning (LGBM) and XGBoost.
Results: Time-frequency domain based non-linear features are selected from preprocessed EEG Dataset, and PCA (Principal Component Analysis) is used for dimensionality reduction for features engineering, then optimized feature based training and testing is done for two class classification in ensemble learning method i.e. LGBM and XGBoost. Finally, both models are tested with dataset of University of Bonn, Germany to classify the signals.
Conclusions: In addition this paper highlights the Correlation Analysis Methodology to Identify Strong Predictor and Attributes Correlation-based Attribute Ranking for the Feature Engineering which has proved to be more efficient in EEG signals Classification and provide comparative analysis with other existing models for performance evaluation in terms of accuracy which is 87.34 and 92.31 for LBGM and XGBoost, sensitivity of 85.21 and 90.18 and specificity of 83.0 and 90.04 for LBGM and XGBoost.
A Reliable Framework for Detection of Smart Contract Vulnerabilities for Enhancing Operability in Inter-Organizational Systems
Authors: Arunprasath S. , Suresh A.
Published: March 2024

Information and communication technology based inter-organizational systems enable companies to integrate information and conduct business electronically across different parts of the organization. For organizations embracing blockchain, smart contracts provide automation and operational efficiency for inter-organizational systems. Initially utilised for financial transactions, smart contract are extended beyond banking and deployed in wide number of organizations. Smart contracts are regarded as self-executing type of contract consisting of agreement’s terms embedded directly into the code which plays a vital role in operability for inter-organizational systems, however, smart contract vulnerabilities can arise due to programming errors, leading to security issues. The effects of smart contract vulnerabilities can be significant, including loss of funds, unauthorized access to sensitive information, manipulation of data, and loss of trust in the application leading to catastrophic financial losses followed by legal implications for an organization based on blockchain technology. The goal of smart contracts exploiting vulnerabilities is to discover and eliminate potential security vulnerabilities in smart contract code prior to it being deployed. Detecting vulnerabilities in a timely manner helps to prevent financial losses, unauthorized access, and data manipulation. In order to provide a robust solution to detect vulnerabilities in smart contracts, the proposed methodology presents a novel approach for rapid detection of vulnerabilities by integrating genetic algorithm with isolation forest. Furthermore, enhancing smart contract vulnerability identification with higher accuracy and false-positive rate provides a reliable gateway for organizations to adopt blockchain.
Number of solutions to a special type of unit equations in two unknowns
Authors: Miyazaki Takafumi , Pink István
Published: March 2024

abstract: For any fixed relatively prime positive integers $a$, $b$ and $c$ with $\min\{a,b,c\}>1$, we prove that the equation $a^x+b^y=c^z$ has at most two solutions in positive integers $x$, $y$ and $z$, except for one specific case which exactly gives three solutions. Our result is essentially sharp in the sense that there are infinitely many examples allowing the equation to have two solutions in positive integers. From the viewpoint of a well-known generalization of Fermat's equation, it is also regarded as a 3-variable generalization of the celebrated theorem of Bennett [M.~A. Bennett, On some exponential equations of S. S. Pillai, Canad. J. Math. 53 (2001), no.~2, 897--922] which asserts that Pillai's type equation $a^x-b^y=c$ has at most two solutions in positive integers $x$ and $y$ for any fixed positive integers $a$, $b$ and $c$ with $\min\{a,b\}>1$.
Riemann-Hilbert hierarchies for hard edge planar orthogonal polynomials
Authors: Hedenmalm Haakan , Wennman Aron
Published: March 2024

abstract: We obtain a full asymptotic expansion for orthogonal polynomials with respect to weighted area measure on a Jordan domain $\mathscr{D}$ with real-analytic boundary. The weight is fixed and assumed to be real-analytically smooth and strictly positive, and for any given precision $\varkappa$, the expansion holds with an $\mathrm{O}(N^{-\varkappa-1})$ error in $N$-dependent neighborhoods of the exterior region as the degree $N$ tends to infinity. The main ingredient is the derivation and analysis of Riemann-Hilbert hierarchies---sequences of scalar Riemann-Hilbert problems---which allows us to express all higher order correction terms in closed form. Indeed, the expansion may be understood as a Neumann series involving an explicit operator. The expansion theorem leads to a semiclassical asymptotic expansion of the corresponding hard edge probability wave function in terms of distributions supported on $\partial\mathscr{D}$.
Reimagining Troubled Pasts and Sustainable Futures: Religion and Post-Brexit Northern Ireland
Authors: Tweed Thomas A.
Published: March 2024

ABSTRACT: International, national and local peacebuilding documents suggest that islanders confront the legacy of the past as they articulate a vision of the future, and this article assesses the most useful frames, metaphors and terms for thinking about the troubled past and shared future of post-Brexit Ireland, North and South. It suggests that comparative history might help. Considering the history of religion and sustainability in the United States might allow participants to reframe the island's troubled past as a series of shared sustainability crises and to reimagine future-focused deliberations as collective efforts to repair socially and ecologically stressed niches. This approach addresses widespread concerns about the well-being of the next generation and uses terms that already have informed thinking about possible futures. It will not heal old wounds or end sectarian disputes, but, with new language to express shared hopes, this approach might make the post-Brexit transition a little less fraught.
Effect of air temperature on serum 25-hydroxyvitamin D concentrations: A single institutional large-scale study in Korea
Authors: Han Kyung Hee , Jeong Yujin , Suh Young Ju , Suh Dong Hoon , Kim Kidong , Kim Yong Beom , No Jae Hong
Published: March 2024

Vitamin D deficiency is a worldwide health issue especially in women. Serum vitamin D concentrations vary depending on the weather. However, the ideal vitamin D supplementation strategy related to weather remains uncertain. We aimed to investigate the relationship between climate factors and serum 25-hydroxy vitamin D [25(OH)D] concentrations. This study included 11,272 women aged 20–79 who visited a health promotion center for annual checkups between January 2013 and December 2015. We reviewed medical records and collected daily meteorological data. We analyzed the association between serum 25(OH)D concentration and climate factors using simple and multiple regression models and then predicted serum 25(OH)D concentration using multiple fractional polynomial models. The median age of the participants was 51 years (20–79 years), and the mean serum 25(OH)D level was 17.4 ± 8.6 ng/mL. The serum 25(OH)D concentration was lower in young women than in older women. The proportions of women with adequate 25(OH)D levels were 14.9% and 47.0% in the age groups 20–29 and 70–79, respectively. The maximum level of predicted log 25(OH)D was found in September, and the minimum was found in January. In multiple regression analysis, age and monthly mean temperature were associated with 25(OH)D concentrations. Serum 25(OH)D level was predicted using the following formula: log (25(OH)D) = 2.144 + 0.009 × age + 0.018 × ((temperature + 12.4)/10)2 (P < 0.001, adjusted R2 = 0.091). Serum 25(OH)D concentrations changed according to air temperature. An adequate strategy for vitamin D supplementation, based on air temperature, is necessary to maintain healthy serum 25(OH)D levels.
Molecular characterization of Aeromonas hydrophila detected in Channa marulius and Sperata sarwari sampled from rivers of Punjab in Pakistan
Authors: Mahmood Shahid , Rasool Fayyaz , Hafeez-ur-Rehman Muhammad , Anjum Khalid Mahmood
Published: March 2024

Aeromonas hydrophila is one of the major pathogenic bacteria responsible for causing severe outbreaks at fish farms and is also a major global public health concern. This bacterium harbors many virulence genes. The current study was designed to evaluate the antidrug and virulence potential of A. hydrophila by amplifying its antimicrobial resistance and virulence genes using PCR and examining their effects on fish tissues and organs. A total of 960 fish samples of Channa marulius and Sperata sarwari were collected from four sites of the rivers of the Punjab, Pakistan. A. hydrophila isolates were subjected to biochemical identification and detection of virulence and antimicrobial resistance (AMR) genes by PCR. We retrieved 181 (6.46%) A. hydrophila isolates from C. marulius and 177 (6.25%) isolates from S. sarwari. Amplification through PCR revealed the incidence of virulence genes in 95.7% of isolates in C. marulius and 94.4% in S. sarwari. Similarly, amplification through PCR also revealed occurrence of AMR genes in 87.1% of isolates in C. marulius and 83.9% in S. sarwari. Histopathological examination revealed congestion (5.2%) and hepatocyte necrosis (4.6%) in liver, lamellar fusion (3.3%) and the presence of bacterial colonies (3.7%) in gills, fin erosion (6%), and the presence of biofilms (3.5%) in tail fins of infected fish. Phylogenetic tree analysis of 16S rRNA and gyrB gene of A. hydrophila revealed 100% and 97% similarity, respectively, with 16S rRNA gene and gyrB of A. hydrophila isolated in previous studies. The results of antimicrobial susceptibility testing showed that all isolates demonstrated resistance to sulfamethoxazole, ampicillin, neomycin, and norfloxacin, while susceptibility to gentamicin, chloramphenicol, and tetracycline, and intermediate resistance was observed against cefotaxime. The results concluded that examined fish samples were markedly contaminated with virulent and multidrug strains of A. hydrophila which may be of a potential health risk. The study emphasizes the responsible antimicrobial use in aquaculture and the urgent need for effective strategies to control the spread of virulence and antimicrobial resistance genes in A. hydrophila.
Gut microbiota differences in stunted and normal-lenght children aged 36–45 months in East Nusa Tenggara, Indonesia
Authors: Surono Ingrid S. , Popov Ilia , Verbruggen Sanne , Verhoeven Jessica , Kusumo Pratiwi D. , Venema Koen
Published: March 2024

The role of the gut microbiota in energy metabolism of the host has been established, both in overweight/obesity, as well as in undernutrition/stunting. Dysbiosis of the gut microbiota may predispose to stunting. The aim of this study was to compare the gut microbiota composition of stunted Indonesian children and non-stunted children between 36 and 45 months from two sites on the East Nusa Tenggara (ENT) islands. Fecal samples were collected from 100 stunted children and 100 non-stunted children in Kupang and North Kodi. The gut microbiota composition was determined by sequencing amplicons of the V3-V4 region of the 16S rRNA gene. Moreover, fecal SCFA concentrations were analyzed. The microbiota composition was correlated to anthropometric parameters and fecal metabolites. The phyla Bacteroidetes (Bacteroidota; q = 0.014) and Cyanobacteria (q = 0.049) were significantly higher in stunted children. Three taxa at genus levels were consistently significantly higher in stunted children at both sampling sites, namely Lachnoclostridium, Faecalibacterium and Veillonella (q < 7 * 10−4). These and 9 other taxa positively correlated to the z-score length-for-age (zlen), while 11 taxa negatively correlated with zlen. Several taxa also correlated with sanitary parameters, some of which were also significantly different between the two groups. All three fecal SCFA concentrations (acetate, propionate and butyrate) and their total were lower in stunted children compared to non-stunted children, although not significant for butyrate, indicating lower energy-extraction by the gut microbiota. Also, since SCFA have been shown to be involved in gut barrier function, barrier integrity may be affected in the stunted children. It remains to be seen if the three taxa are involved in stunting, or are changed due to e.g. differences in diet, hygiene status, or other factors. The observed differences in this study do not agree with our previous observations in children on Java, Indonesia. There are differences in infrastructure facilities such as clean water and sanitation on ENT and Java, which may contribute to the differences observed. The role of the gut microbiota in stunting therefore requires more in depth studies.

Trial registration: the trial was registered at ClinicalTrials.gov with identifier number NCT05119218.
Efficient removal of toxic azo dyes from contaminated water by adsorption on the GO surface
Authors: Tanveer Haris bin , Perveen Fouzia , Azam Sumaiya , Arshad Nasima , Rafique Hummera , Irfan Ahmad , Arshad Zoniya , Zaman Salman u , Qadar Sher
Published: March 2024

The purpose of this study is to examine the possibility of GO to be used as an adsorbent for five novel potentially hazardous azo-dyes for their removal from aqueous solution. Adsorption characteristics of GO for azo-dyes removal were investigated by means of experimental and computational DFT as well as Monte Carlo approaches. Experimental studies include the effect of adsorbent dose, contact time, and initial concentration, while computational investigation involves DFT and Monte Carlo (MC) simulations. Through DFT studies geometric, electronic, and thermodynamic parameters were explored and possible mechanism of interactions and adsorption energies by predicted through MC by searching lowest possible adsorption complexes. Experimental data were evaluated by Langmuir models in order to describe the equilibrium isotherms. Equilibrium data fitted well to the Langmuir model. Thermodynamic parameters i.e., free energy change, enthalpy change, and entropy change revealed that the removal of azo-dyes by adsorption on the surface of GO molecular sieves was spontaneous. Nature of the process was found to be physiosorption involving non-covalent interaction. The study unveiled that GO can be used as an efficient adsorbent material for the adsorption of azo-dyes from aqueous solution.
How self-states help: Observing the embodiment of self-states through nonverbal behavior
Authors: Engel Isabelle , Dshemuchadse Maja , Surrey Caroline , Roos Leander , Kanske Philipp , Scherbaum Stefan
Published: March 2024

The concept of self-states is a recurring theme in various psychotherapeutic and counseling methodologies. However, the predominantly unconscious nature of these self-states presents two challenges. Firstly, it renders the process of working with them susceptible to biases and therapeutic suggestions. Secondly, there is skepticism regarding the observability and differentiation of self-states beyond subjective experiences. In this study, we demonstrate the feasibility of eliciting self-states from clients and objectively distinguishing these evoked self-states through the lens of neutral observers. The self-state constellation method, utilized as an embodied approach, facilitated the activation of diverse self-states. External observers then assessed the nonverbal manifestations of affect along three primary dimensions: emotional valence, arousal, and dominance. Our findings indicate that external observers could reliably discern and differentiate individual self-states based on the bodily displayed valence and dominance. However, the ability to distinguish states based on displayed arousal was not evident. Importantly, this distinctiveness of various self-states was not limited to specific individuals but extended across the entire recording sample. Therefore, within the framework of the self-state constellation method, it is evident that individual self-states can be intentionally evoked, and these states can be objectively differentiated beyond the subjective experiences of the client.
From Flora to Pharmaceuticals: 100 new additions to angiosperms of Gafargaon subdistrict in Bangladesh and unraveling antidiabetic drug candidates targeting DPP4 through in silico approach
Authors: Ahmed Sheikh Sunzid , Rahman M. Oliur
Published: March 2024

Addition to the angiosperm flora provides essential insights into the biodiversity of a region, contributing to ecological understanding and conservation planning. Gafargaon subdistrict under Mymensingh district in Bangladesh represents a diverse population of angiosperms with a multifaceted ecosystem that demands re-evaluation of the existing angiosperm diversity of Gafargaon to update the status of angiosperm taxa and facilitate their conservation efforts. With this endeavor, a total of 100 angiosperm taxa belonging to 90 genera and 46 families were uncovered as additional occurrence in Gafargaon. The species in the area showcased a variety of life forms, including 63 herbs, 14 shrubs, 14 trees, and 9 climbers. Among the recorded taxa, Chamaecostus cuspidatus (Nees & Mart.) C.D. Specht & D.W. Stev. was selected for antidiabetic drug design endeavor based on citation frequency and ethnomedicinal evidence. A total of 41 phytochemicals of C. cuspidatus were screened virtually, targeting the Dipeptidyl peptidase 4 protein through structure-based drug design approach, which unveiled two lead compounds, such as Tigogenin (-9.0 kcal/mol) and Diosgenin (-8.5 kcal/mol). The lead candidates demonstrated favorable pharmacokinetic and pharmacodynamic properties with no major side effects. Molecular dynamics simulation revealed notable stability and structural compactness of the lead compounds. Principal component analysis and Gibbs free energy landscape further supported the results of molecular dynamics simulation. Molecular mechanics-based MM/GBSA approach unraveled higher free binding energies of Diosgenin (-47.36 kcal/mol) and Tigogenin (-46.70 kcal/mol) over Alogliptin (-46.32 kcal/mol). The outcome of the present investigation would enrich angiosperm flora of Gafargaon and shed light on the role of C. cuspidatus to develop novel antidiabetic therapeutics to combat diabetes.
Predicting central choroidal thickness from colour fundus photographs using deep learning
Authors: Arai Yusuke , Takahashi Hidenori , Takayama Takuya , Yousefi Siamak , Tampo Hironobu , Yamashita Takehiro , Hasegawa Tetsuya , Ohgami Tomohiro , Sonoda Shozo , Tanaka Yoshiaki , Inoda Satoru , Sakamoto Shinichi , Kawashima Hidetoshi , Yanagi Yasuo
Published: March 2024

The estimation of central choroidal thickness from colour fundus images can improve disease detection. We developed a deep learning method to estimate central choroidal thickness from colour fundus images at a single institution, using independent datasets from other institutions for validation. A total of 2,548 images from patients who underwent same-day optical coherence tomography examination and colour fundus imaging at the outpatient clinic of Jichi Medical University Hospital were retrospectively analysed. For validation, 393 images from three institutions were used. Patients with signs of subretinal haemorrhage, central serous detachment, retinal pigment epithelial detachment, and/or macular oedema were excluded. All other fundus photographs with a visible pigment epithelium were included. The main outcome measure was the standard deviation of 10-fold cross-validation. Validation was performed using the original algorithm and the algorithm after learning based on images from all institutions. The standard deviation of 10-fold cross-validation was 73 μm. The standard deviation for other institutions was reduced by re-learning. We describe the first application and validation of a deep learning approach for the estimation of central choroidal thickness from fundus images. This algorithm is expected to help graders judge choroidal thickening and thinning.
Health information needs and feedback of users in the online TCM community
Authors: Nie Lei , Xu Jiayi , Wang Ruojia
Published: March 2024

To improve the information service quality of the online Traditional Chinese Medicine (TCM) community, this study investigated users’ information needs, feedback and the relationship between them. Using qualitative content analysis, the basic characteristics of users’ needs were obtained. Logistic regression was used to explore the impact of different need characteristics of feedback. The main findings are as follows: 1) Disease consultation, health preservation, professional discussion, knowledge sharing and experience description are the major 5 types of information needs in the online TCM community; 2) Some users provided TCM-related information, such as the tongue image and the TCM four diagnosis; 3) A total of 78.8% of the posts received effective feedback, and the main types of feedback were answering, discussing, inquiring and emotional supporting; 4) Providing enough information can significantly and positively affect whether needs receive effective feedback, suggesting that users can present information about their condition in as many different formats as possible when articulating their needs.
La Ley 45/2007 de desarrollo sostenible del medio rural: ¿instrumento de ordenación territorial (urbana) en medio rural?
Authors: Escribano Pizarro Jaime , Pla-Bañuls Jaume , Vercher Savall Néstor
Published: March 2024

La Ley 45/2007 para el Desarrollo Sostenible del Medio Rural puede ordenar el crecimiento urbanístico del medio rural español gracias a las medidas que recoge en materia de vivienda y urbanismo (art. 33) y concretadas vía Programa de Desarrollo Rural Sostenible (PDRS), en Planes de Zona Rural (PdZ) autonómicos. Para ello, primero, enumeramos las actuaciones sobre urbanismo y vivienda existentes en el PDRS; segundo, identificamos las mismas en los PdZ desarrollados; y, tercero, examinamos las diferencias y las similitudes alrededor del art. 33 de los PdZ realizados en una misma autonomía y entre Comunidades Autónomas. El análisis de contenidos evidencia que los PdZ y las actuaciones y acciones efectuadas son limitadas: solo 8 Autonomías han desarrollado PdZ. De estas, solo 5 han realizado alguna actuación, siendo estas no solo reducidas (solo 7), sino también poco variadas (más del 94% corresponden a 3 actuaciones). Con las acciones, ocurre parecido: 80 acciones (agrupadas en 23 tipos), de las que 79 están englobadas en 2 actuaciones. La disponibilidad de mayor financiación contribuiría a incrementar el desarrollo del art. 33 en los PdZ, si bien esta debería recoger específicamente la idiosincrasia del medio rural español, de modo que los desarrollos posteriores fueran cada vez más relevantes.
Castilla y León, ¿ausencia de identidad o fantasma de la ausencia?
Authors: Martín Gómez Ángel , Arcajo Fuentes Natalia , Gómez Rodilla Israel , Galindo Pérez Sara
Published: March 2024

Castilla y León es un ámbito geográfico propicio para el análisis de las identidades colectivas, como entidad territorial creada tras la construcción del Estado de las Autonomías de 1978. Sin embargo, es una región a la que la literatura académica apenas ha prestado atención, en contraste con el estudio de realidades de otras Comunidades Autónomas. Frente a esto, este trabajo tiene como objetivo dar una respuesta a la pregunta sobre si Castilla y León ha desarrollado una identidad colectiva o si, por el contrario, persisten en la comunidad sentimientos regionalistas previos, tales como el castellano o el leonesista, que conviven con la identidad nacionalista española. A cuatro décadas desde la aprobación del Estatuto de Autonomía en 1983, y a partir de teorías sobre la construcción de la identidad colectiva, de los datos proporcionados por los Barómetros de Opinión Pública de Castilla y León (Barómetro SOCYL) y de los Autonómicos del Centro de Investigaciones Sociológicas (CIS) en diversos años, los resultados muestran que en Castilla y León parece haber una identidad colectiva autonómica asentada entre la ciudadanía, en contraposición a los planteamientos de la literatura académica. El análisis de la información de estas bases de datos muestra que, a pesar de la existencia de este sentimiento regionalista entre la ciudadanía de Castilla y León, y de que la mayor parte de la población se siente orgullosa de pertenecer a la comunidad autónoma, este sentimiento puede verse afectado por variables de orden económico, demográfico, político e institucional.
Clases medias y propiedad privada en España: una aproximación a partir de la crónica histórica de Cuéntame cómo pasó
Authors: Del Pino Díaz David
Published: March 2024

Este artículo se focaliza en el proceso de la construcción de la primera fase de las clases medias españolas a través de la crónica histórica que ha representado la popular serie Cuéntame cómo pasó. Una serie televisiva que buscó, como se argumenta en este texto, lograr una determinada legitimidad política en el presente mediante la reescritura del pasado. A este fin, se ha empleado una metodología cualitativa basada en el visionado de las primeras catorce temporadas de la serie (253 episodios). El análisis de las primeras catorce temporadas nos ha permitido profundizar en la centralidad de la vivienda como instrumento para la constitución de las clases medias y la pacificación social. Entre otras conclusiones, señalamos la relevancia ideológica que tienen los productos de la cultura de masas cuando se quiere la romantización del tardofranquismo y la defensa de las medidas económicas impulsadas por el Plan de Estabilización de 1959.
Museums’ contribution to the notion of food heritagisation
Authors: Vermehren Anna Insa , Walsøe Jonas
Published: March 2024

In this paper the authors explore how various agents – such as museums, destination companies or small businesses – have actively contributed to food heritagisation on the Lofoten Islands in Northern Norway. By examining the thematic elements and storylines that these agents convey to a broad audience, and by considering their role in the tourism sector, we assert that their collaboration serves as the driving force for preserving and promoting culinary traditions. We specifically focus on the significance of museums as pivotal institutions in shaping identity. We employ the concept of food heritagisation and test it on the Lofoten Islands as our primary example.Our findings offer an analysis of the challenges and opportunities faced by agents who contribute to food heritagisation on the Lofoten Islands. Moreover, we argue that museums, in conjunction with other local agents, are playing an increasingly influential role in the process of food heritagisation particularly in regions with high tourism. Ultimately, we conclude that the heritagisation of food on the Lofoten Islands represents an overall positive step towards fostering more sustainable and innovative forms of tourism.
In this paper we explore how museums have contributed to food heritagisation in the region by looking at the themes and storylines that museums communicate to a wide public, and by considering the role they play in the tourism sector. The findings provide an analysis of challenges and opportunities for cultural organisations who contribute to food heritagisation. We look at the risks for producers and consumers and pay attention to opportunities, arguing that the heritagisation of food on the Lofoten Islands provides an overall positive move towards more sustainable and innovative tourism.
Achieving Democracy through Interest Representation?
Authors: Rozbicka Patrycja
Published: March 2024

The article discusses a link between interest representation and its importance for democracy. After looking at the pluralist, corporatist and neo-pluralist approaches, the article focuses on the role of interest groups in associational, deliberative, and participatory democracies. I debate whether or not interest representation is a necessary element of democracy and whether the theoretical background can help us grasp it across all political systems. I address this question in the context of young, post-Communist democracies in Central and Eastern Europe (CEE). I argue that in the CEE countries when studying interest groups’ populations and organizational behaviour, we have to take into consideration a number of internal and external factors that impact perceptions and actual activity of interest groups when it comes to countries’ democratization.
Economics of Fiscal Dominance and Ramifications for the Discharge of Effective Monetary Policy Transmission
Authors: JACKSON Emerson Abraham
Published: March 2024

This paper explores the intricate dynamics of fiscal dominance and its profound implications for monetary policy efficacy, contributing to the discourse on the interplay between fiscal and monetary policies. The theoretical foundation critically examines existing literature, integrating empirical evidence to construct a comprehensive understanding. Model blocks strategically elucidate the significance of fiscal variables in shaping monetary transmission mechanisms. The ensuing analysis scrutinises the disruptive potential of fiscal dominance on conventional monetary policy tools. The conclusion navigates policy recommendations, emphasising the necessity of coordinated fiscal-monetary strategies to effectively mitigate inflationary pressures. This research provides a nuanced perspective for policymakers, offering theoretical depth and empirical insights to guide decisions in addressing the complex challenges posed by fiscal dominance in economic governance.
Opinion about the Liquidity Preference Theory. Discussions Concerning Weight and Risk in the Townshend-Keynes Letters of November-December 1938
Authors: BRADY Michael
Published: March 2024

Townshend wrote Keynes a letter on November 25th,1938 and asked Keynes the following question, after informing Keynes that he had read Keynes’s A Treatise on Probability a number of years earlier and understood Keynes’s concept of non-numerical probability:

“This is the nearest I can get to an analysis of the part played by the factor of confidence in the rationale of interest. I believe that its further logical analysis at a deeper level of generalization is connected with the part played by the weight of evidence in your theory of probability, but I cannot see just how….” (Townshend 1979, 292; italics added).

Townshend ‘s question can be rewritten in the following fashion:

“Where, in your A Treatise on Probability, is your analysis of the connection between the variable, confidence, in the General Theory and the weight of evidence in your A Treatise on Probability, applied to support your analysis in the General Theory of your liquidity preference theory of the rate of interest?”

Keynes’s response was direct and straightforward:

“As regards my remarks in my General Theory, have you taken account of what I say on page 240, as well as what I say at page 148, which is the passage I think you previously quoted…”.(Letter to Townshend, Dec. 7th ,1938).

The answer given here by Keynes is for Townshend to read p.240 of the General Theory; however, it relates directly to Keynes’s chapter 26 of the A Treatise on Probability.

What Keynes provides the reader of the General Theory on p.240 is his statement that there is no discussion of how to estimate/calculate the risk and liquidity premiums in the General Theory. This paper demonstrated that Keynes’s discussion of how to estimate the risk and liquidity premiums occurs in chapter XXVI of the TP.

This paper demonstrates the logical and mathematical links between Keynes’s General Theory liquidity preference theory of the rate of interest, where liquidity preference is defined as a function of uncertainty, U, and Keynes’s A Treatise on Probability analysis of the evidential weight of the argument, V, which equals w, which is expressed in degrees. Keynes is pointing out to Townshend that U is a function of V, which is equal to w expressed in degrees. Thus, U is a function of w. We can write this out in English- 

The evidential weight of the argument, V, is equal to the degree of the completeness of the amount of information on which the probability is based. Thus, Uncertainty is a function of the evidential weight of the argument, while liquidity preference is a function of uncertainty. The analysis that is missing in all past discussions by economists and philosophers of this issue has been their failure to identify the role played by Keynes’s mathematical variable, w.
Green Finance Supports Sustainable Environment: Empirical Approach towards Applicability in Tourism Sector
Authors: MOHANTY Rojalin , SAMAL Ansuman , KUMAR Rakesh
Published: March 2024

Purpose. Sustainable development Goal (SDG)-2030 is an important agenda of UN. Green finance concept is a way to support sustainable development goal. This research explore concept of green finance toward green industry in India. The aim of this study how green finance help in increase of green industry in Indian region focusing on the tourism sector specifically.

Methodology. The study based on empirical research structure equation model constructed with help of SPSS and AMOS software. Data collected from respondent those are related to manufacturing company and availed green finance services from financial institute. Total 576 sample collected within Indian region.

Finding. The study finds that green finance awareness, incentive, initiative and technology will increase green industry. The study finds that factors of green finance industries are green marketing initiative, green finance incentive, awareness about green finance and technology innovations.

Originality. The study based of five factor these are green finance marketing initiative, green finance incentive to investor, green finance awareness, green technology innovation and green investment. All these factors support green industry in Indian region and other region as well.

Practical implications. The aim of the study to fids out factors which increased green industry through green finance supports. The study related to finance services for green investment for sustainable society.
Does Remittance Inflow and Foreign Direct Investment Spur Economic Development in Developing Countries? Insights from Nigeria
Authors: MBA Peter N. , CHIJIOKE Mercy I.
Published: March 2024

Given the rising inflows of remittance and foreign direct investment into developing countries, the study examined their importance on economic development in Nigeria using the ordinary least squares method and time series data collected from secondary sources, and the Error correction models (ECM) were estimated. Findings showed that remittances and foreign direct investment impacted positively and significantly on economic development and the exchange rate negatively influenced economic development. Thus, recommended that the government should remove strict transaction costs of remitting money to expand the overall inflow of remittances and more personal remittances should be encouraged for investment in human capital development. Additionally, improvement in the investment climate for existing and expected foreign investors, relaxation of the strict laws on profit repatriation, and the improvement in the macroeconomic environment by curbing security challenges, social unrest, and corruption will encourage foreign investors to increase their investments. It also recommends that the government take advantage of these inflows to stabilize the volatility of the exchange of the domestic currency.
Strengthening the Nexus: Policy and Legislative Reforms for University-Industry Collaboration in Kazakhstan
Authors: YESSIMOVA Sholpan , RAKHYMZHANOV Yerkesh , SPANOVA Bagdat , BAIZHANOVA Sulushash , SEIDAKHMETOV Marat , YESSENOVA Aiman , ALTYNBASSOV Bakhyt
Published: March 2024

The aim of this study is to examine the synergistic benefits that arise from collaborations between universities and industrial companies, examining the mutual advantages that both entities have. This research evaluates the government's efforts to cultivate such partnerships through a comprehensive documentary analysis of current policy documents and legislation. The findings indicate that a recently established ministry in Kazakhstan is actively developing proposals for legislative amendments to enhance the framework for collaboration between universities and industry. It is noteworthy that the government is providing tax preferences and incentives to industrial entities that collaborate with academic institutions, with the expectation that these measures will lead to beneficial outcomes. Despite these positive measures, the study revealed significant obstacles that prevent effective collaboration, such as legislative gaps and a general apprehension among industrial companies to set partnerships, due to the ineffectiveness of certain laws. The state's limited capacity to motivate participation from these corporations is what makes this reluctance a bigger challenge. This analysis highlights the necessity of strengthening political and legal frameworks to support more effective and productive collaborations between the university and industrial sectors. To bridge these gaps and improve the innovation ecosystem and drive socio-economic progress, this paper calls for a renewed approach to policymaking and legal reforms.
Rumen gas kinetics: a comparative analysis of two in vitro assessment methods for forage evaluation
Authors: VALCL Nejc , LAVRENČIČ Andrej
Published: March 2024

Gas production from thirty samples of feedstuffs (10 samples of corn silage, grass silage, and grass hay, respectively) was assessed in vitro using two methods: the Hohenheim gas test (HGT) and the ANKOM RF Gas Production System (ANKOM). Samples were incubated in buffered rumen fluid. Gas kinetic parameters were calculated using the Gompertz model. Results revealed significantly lower gas production with the ANKOM compared to the HGT. Significant differences were observed between the HGT and ANKOM in the specific gas production rate (parameter C), maximum fermentation rate (MFR) and gas produced after 24 h of incubation (Gas24) for each feed group. High coefficients of determination (R2) were calculated between the methods for the gas kinetic parameters MFR, Gas24, total potential gas production (parameter B), decrease in the specific gas production rate (parameter A), moderate R2 for C, and low R2 for time of maximum fermentation rate (TMFR). Despite the lower quantities of gas generated with the ANKOM, there are strong correlations in the parameters of gas kinetics that promise the possibility of developing correction models. Future development of such models could position the ANKOM as a viable alternative to HGT, particularly for calculating metabolizable energy and net energy for lactation in feedstuffs.
Bio-efficacy, persistence and residual toxicity of greener insecticides against predominant flea beetles on cabbage crop in Kashmir
Authors: MAQSOOD Saima , BUHROO Abdul A. , SHERWANI Asma , MUKHTAR Malik
Published: March 2024

The flea beetles, Phyllotreta striolata (Fabricius, 1803) and Altica himensis (Shukla, 1960) (Coleoptera: Chrysomelidae: Alticinae) are one of the most serious pests of Brassica oleracea L. in Kashmir. In order to find eco-friendly control against these pests, bio-efficacy, persistence and residual toxicity of some newer insecticides viz., Emamectin benzoate 5SG @ 0.002 and 0.004 per cent, Spinosad 45SC @ 0.0035 and 0.007 per cent was evaluated against P. striolata and A. himensis infesting cabbage crop. Mortality caused by these insecticides was recorded in all the treatments. The result revealed that spinosad 45SC @ 0.007 per cent exhibited significantly lowest pest population and the highest efficacy against cabbage flea beetles. The persistence and residual toxicity of these insecticides was worked and it was found that spinosad 45SC @ at 0.007 per cent revealed the highest PT value of (346.11 & 321.43) for P. striolata and (299.57 & 322.38) for A. himensis compared to other insecticides. LT50 values of (4.13 & 3.38) for P. striolata and (3.08 & 3.84) for A. himensis were the highest for Spinosad 45SC @ 0.007 per cent. It was concluded that spinosad 45SC @ 0.007 per cent offers a feasible choice for the management of P. striolata and A. himensis.
Cultivating Success: The Interplay of Innovation Marketing, Marketing Orientation and Internal Strategies on Organization Performance in Pakistan
Authors: Saleem Kashif , Younas Asifa
Published: March 2024

This study's primary goal is to ascertain how innovative marketing and market-oriented internal marketing relate to one another and how this relationship affects performance in the mediating impact of innovative capability within Pakistan. To analyze the relationship between variables and accomplish the study's objective, 295 university student samples were used. The study's findings indicate that internal marketing plays a significant role in performance, meaning that an increase in internal marketing will improve an organization's performance. Innovative cultures have a big impact on how well an organization does; in Pakistan, any organization that has a strong creative culture will perform even better. Market orientation is also crucial for any organization. The study found that innovation is believed to have a mediating role in the relationship between market orientation and marketing performance.
Comparative study of radioprotective effects of endurance training in irradiation-induced nephropathy of rat model
Authors: Parastesh Mohammad , Molavi Shiva , Moghadasi Samira
Published: March 2024

Objectives

Considering the antioxidant properties of endurance training, this study aimed to investigate the effects of endurance training on serum levels of oxidative stress and structural changes in the kidney tissue of rats exposed to X-ray irradiation.

Methods

In this experimental study, 24 rats weighing 220±20 g were randomly divided into four groups (healthy control, healthy with moderate-intensity continuous training, X-ray control, and X-ray with moderate-intensity continuous training). The two groups of rats were irradiated with 4 Gy X-rays. The two training groups also performed moderate-intensity continuous training for 10 weeks. Twenty-four hour after the last training session, the blood serum of rats was collected and kidney tissue was isolated for stereological studies.

Results

In this study, X-ray irradiation of the whole body of rats caused a significant increase in kidney volume, cortex volume, interstitial tissue volume, glomerular volume, and serum level of MDA (p≤0.05), but the medulla volume, volume of proximal tubules (total volume, volume of epithelium, and lumen), volume of distal tubules (total volume, volume of epithelium, and lumen), and the length of the proximal and distal tubules had no effect. In addition, TAC and SOD levels were significantly decreased in the radiation control group. Furthermore, performing endurance training in X-ray-irradiated rats significantly reduced kidney volume, cortex volume, glomerular volume, and serum MDA level (p≤0.05).

Conclusions

Moderate-intensity continuous training can improve the rate of destruction of kidney tissue in rats exposed to X-rays by reducing oxidative stress and subsequently increasing antioxidant capacity.