bluuebunny/crossref_metadata_2025 huggingface dataset:
Plants Under the Microscope
Authors: Szepesi Ágnes , Bakacsy László
Published: October 2024

A 100 éves múltra visszatekintő Szegedi Tudományegyetem Növénybiológiai Tanszékén a növényanatómia és növényszervezettan kiemelt szerepet töltött és tölt be a mai napig nemcsak az oktatásban, de a kutatásban is. Az elmúlt 100 év során értékes mikroszkópos metszetgyűjtemény jött létre, amely felbecsülhetetlen értéket képvisel napjaink biológus hallgatói számára is. Az oktatásban eltöltött tapasztalataink alapján szükség van a növénybiológiai ismeretek tudományos ismeretterjesztő formában történő megosztására, figyelembe véve az Európai Unió célkitűzéseit, az Open Science és Open Access törekvéseknek megfelelően. Napjaink digitális technológiai megoldásait is felhasználva a Mecenatura pályázat keretében célul tűztük ki, hogy ezt az értékes gyűjteményt, amelyben még 1954-ből származó metszet is található, mindenki számára szabadon hozzáférhetővé tesszük. A könyvet az érdeklődők számára a legjelentősebb és leglátványosabb metszetek felhasználásával készítettük, olyan növényekből, amelyek közismertek az olvasók számára, de belső felépítésüket még nem ismerhetik. A könyv ábrái hallgatók bevonásával készültek, és folyamatban van egy online elérhető adatbázis a tanszéki gyűjtemény további metszeteinek bemutatásához. Úgy gondoljuk, hogy a kiadvány nagyban segítheti az olvasó növények iránti érdeklődésének felkeltését hozzájárulva ahhoz, hogy az ember a természetet megismerve, a biodiverzitást előtérbe helyezve fenntartható módon alakítsa ki életkörülményeit. Reméljük, hogy a jövőben ez a kiadvány sokakban felkelti az érdeklődést a növények iránt.
THE ROLE OF EMOTION IN DECISION MAKING
Authors: Enekwe Franklin Sochima
Published: October 2024

making is a complex cognitive process influenced by various factors, including emotion, cognition, and social context. This article examines the significant role emotions play in decision-making processes, highlighting how both positive and negative emotions can affect choices across different contexts. Drawing on contemporary psychological theories, neuroscience research, and real-world applications, this paper aims to underscore the necessity of integrating emotional awareness into understanding decision-making mechanisms. The findings suggest that acknowledging emotions can enhance decision-making efficacy and promote better outcomes in personal and organizational contexts.
PERBANDINGAN FUZZY TIME SERIES MARKOV CHAIN DAN FUZZY TIME SERIES CHENG
Authors: Atmawanti Indira Irma , Hakim Arief Rachman , Tarno Tarno
Published: October 2024

Investing is a hot and fast-growing topic right now. Stock.investing.is one of the most popular investments by the public. The JCI is an index that measures the performance of all stocks listed on the IDX. The closing price of the stock is published daily and can be used by investors as an investment benchmark. The occurrence of stock price fluctuations entails a high risk of loss. Predicting stock prices is one way to avoid this risk. Fuzzy time series is a time series model that can be used to minimize the risk of future occurrences. Time parameter data is not stationary, so this research uses fuzzy time series with Markov chains and Cheng's method to determine the JCI completion dates from January 2018 to June 2022. Calculating the accuracy level of the two method approaches using symmetric Mean Absolute Percentage Error (sMAPE), the sMAPE value obtained in the Fuzzy Time Series Markov Chain method is 2.11% and the Fuzzy Time Series Cheng method is 2.98%. The conclusion is that of the two methods the Markov Chain has a smaller value and can be said to be a better method compared to the Cheng method.
PERBANDINGAN METODE EXPONENTIAL GARCH (EGARCH) DAN GLOSTEN-JAGANNATHAN-RUNKLE GARCH (GJR-GARCH) PADA MODEL VOLATILITAS SAHAM TUNGGAL
Authors: Hafizhah Auliana Rahma , Maruddani Di Asih I , Santoso Rukun
Published: October 2024

Financial data, such as stock prices, usually have a tendency to fluctuate rapidly and create a heteroscedastic effect on the variance of residuals. The Covid-19 pandemic that occurred from 2020 to 2022 is one factor that can affect economic movements, especially in Indonesia, and has an impact on the volatility of financial data. The problem of heteroscedasticity can be addressed using the ARCH/GARCH model. However, this model has a weakness in capturing the asymmetry of volatility resulting from good news and bad news. Several models that can overcome the problem of volatility asymmetry are EGARCH and GJR-GARCH. The purpose of this thesis research is to determine the best volatility model using the daily stock price data of PT Bank Rakyat Indonesia (Persero) Tbk. covering the period from February 2020 to February 2023. The result of the asymmetric GARCH model suggests that the ARIMA(2,0,2) EGARCH(1,1) model has an AIC value of -4.8850, and the ARIMA(2,0,2) GJR-GARCH(1,1) model has an AIC value of -4.8907. Therefore, the model with the minimum AIC value, which is the ARIMA(2,0,2) GJR-GARCH(1,1) model, is considered the best model. Furthermore, this model exhibits very good forecast accuracy, as evaluated by the sMAPE value of 5,17%.
Design a new scheme for image security using a deep learning technique of hierarchical parameters
Authors: Khazaal Yasmine M. , Falih Mohanaed Ajmi , Majeed Abbas Hamid
Published: October 2024

With the continued exponential growth of digital images, concerns about the security and confidentiality of visual data have increased. In this session, a new developed approach was presented for image security and confidentiality by taking advantage of deep learning (DL) technology and producing data hierarchies. Due to the development taking place in the field of images and the large circulation of them through modern applications, it has become necessary to maintain their security. DL technology was used to encrypt and decrypt images, and based on hierarchical variables to complicate the encryption process. Convolutional neural networks are used in automatic learning to extract hierarchical features from an image, and to ensure adaptability, the model is trained on a variety of images. In order to encrypt the image, multi-layered hierarchical processes are used, and there are layers added during the work for complexity and to thwart attacks. Manipulating the layers of the neural network in a hierarchical manner to benefit from the outputs of the layers in feedback reflects the importance of the contributions here. Likewise, scattering the columns and rows of the image in a descending or ascending manner increases the efficiency of the contribution in this study. The use of hierarchical parameters facilitates encryption and decryption for authorized users. The evaluation of the research was conducted using established picture metrics and compared to pre-existing encryption techniques. The experimental findings substantiated the efficacy of the proposed approach in upholding image security, with the inclusion of hierarchical information further bolstering its ability to thwart attacks. Consequently, it emerges as a very promising strategy for ensuring image security. The proposed method is a significant advancement in creating an image security strategy using DL and a hierarchical variable creation process. The study provides a good and adaptable solution to evolving image security challenges in the digital age.
Evaluation of static bending caused damage of glass-fiber composite structure using terahertz inspection
Authors: Lopato Przemyslaw , Psuj Grzegorz , Herbko Michal , Spychalski Ireneusz
Published: October 2024

Composite materials find increasing applications in modern industry and transport. However, they may lose desirable mechanical properties due to external mechanical excitations, ultraviolet radiation, moisture penetration, or other factors. Therefore, an effective way to assess the condition of materials is necessary. In this article, a nondestructive evaluation of glass fiber-reinforced composite subjected to five-stage static bending is presented. For this reason, pulsed excitation terahertz imaging was utilized, and a data processing/exploration scheme was proposed. The proposed, novel approach consists of an efficient data registration algorithm based on surface approximation (for surface roughness and unevenness elimination) and a parametrization scheme applied for the signals gained from the time response of the glass fiber-reinforced polymer layer. Obtained parameters enable the global description of the evaluated material state and prediction of failure effectively, even in the early stages of destruction.
A Historian’s View of the Qurʾān
Authors: Donner Fred M.
Published: October 2024

The Qurʾān, as a sacred text, poses distinctive challenges for the historian. The talk will begin by addressing briefly some of these challenges, in particular the limits of what the historian can say about sacred texts like the Qurʾān. The bulk of the talk will then discuss the challenges historians face in understanding the text’s transmission, as revealed both by Muslim tradition and from the evidence of the material record, and what implications the historian might draw from the Qurʾān’s content.
Long-term viscoelastic behavior and evolution of the Schapery model for mirror epoxy
Authors: Dardouri Mohsen , Fellah Ali , Gmir Fethi , Aloui Abdessattar
Published: October 2024

Mirror epoxy, used in its pure form with a resin-to-hardener ratio of 100:50, is emerging as an innovative material widely used in modern flooring. Its appeal lies in its smooth, shiny surface, offering a unique and contemporary aesthetic. However, understanding its long-term viscoelastic behavior is essential to ensure the durability and performance of floor coverings under various conditions of use. This study examines the evolution of the Schapery model for mirror epoxy, focusing on its long-term viscoelastic behavior. Creep tests at constant loads and ambient temperature are carried out in order to numerically determine the static nonlinearity factors g and g
0 formulated in the Schapery model. To validate this model, other relaxation tests at constant deformations are carried out under the same conditions, which allowed us to determine the nonlinearity factors h and h
0 formulated in this model using the same method. A remarkable consistency between the variations in the experimental and numerical values of the model programmed on MATLAB allows us to conclude that the Schapery model describes the real behavior of the mirror epoxy in a satisfactory manner.
Double-finite Serial Verbs in Sanskrit and later Indo-Aryan
Authors: Hock Hans Henrich
Published: October 2024

Steever (1988. The serial verb formation in the Dravidian languages. Delhi: Motilal Banarsidass) introduced to South Asian linguistics the notion “Serial Verb” – a Dravidian construction in which two morphologically finite verbs agree in person and number features in the same sentence. I show that similar “double-finite” structures are found in Sanskrit/Indo-Aryan, although details differ. One double-finite construction, inherited from Proto-Indo-European, does not seem to have continued in the post-Vedic language, but others do, and similar structures occur in Modern Indo-Aryan languages. While the historical developments are relatively clear for early Indo-Aryan, from Vedic down to Pāli, there are questions about whether the double-finite constructions of Modern Indo-Aryan are inherited , since comparable structures have not been noted in late Middle Indo-Aryan Apabhraṁśa, the near-ancestor of (peninsular) Modern Indo-Aryan. In the conclusion I discuss alternatives to Modern Indo-Aryan inheritance, including areal and typological factors and the proposal by Milizia (2018. Sul presente neoindoarico a doppio verbo finito. Atti del Sodalizio Glottologico Milanese 12(n.s.). 93–111) that the perhaps most widespread Modern Indo-Aryan double-finite construction results from analogical developments. (Unfortunately, the latter proposal does not account for the other Modern Indo-Aryan double-finite constructions.)
Defects in Exosome Biogenesis Are Associated with Sensorimotor Defects in Zebrafish
vps4a
Mutants
Authors: Shipman Anna , Gao Yan , Liu Desheng , Sun Shan , Zang Jingjing , Sun Peng , Syed Zoha , Bhagavathi Amol , Smith Eliot , Erickson Timothy , Hill Matthew , Neuhauss Stephan , Sui Sen-Fang , Nicolson Teresa
Published: October 2024

Mutations in human
VPS4A
are associated with neurodevelopmental defects, including motor delays and defective muscle tone.
VPS4A
encodes a AAA-ATPase required for membrane scission, but how mutations in
VPS4A
lead to impaired control of motor function is not known. Here we identified a mutation in zebrafish
vps4a
, T248I, that affects sensorimotor transformation. Biochemical analyses indicate that the T248I mutation reduces the ATPase activity of Vps4a and disassembly of ESCRT filaments, which mediate membrane scission. Consistent with the role for Vps4a in exosome biogenesis,

vps4a
T248I

larvae have enlarged endosomal compartments in the CNS and decreased numbers of circulating exosomes in brain ventricles. Resembling the central form of hypotonia in
VPS4A
patients, motor neurons and muscle cells are functional in mutant zebrafish. Both somatosensory and vestibular inputs robustly evoke tail and eye movements, respectively. In contrast, optomotor responses, vestibulospinal, and acoustic startle reflexes are absent or strongly impaired in

vps4a
T248I

larvae, indicating a greater sensitivity of these circuits to the T248I mutation. ERG recordings revealed intensity-dependent deficits in the retina, and in vivo calcium imaging of the auditory pathway identified a moderate reduction in afferent neuron activity, partially accounting for the severe motor impairments in mutant larvae. Further investigation of central pathways in

vps4a
T248I

mutants showed that activation of descending vestibulospinal and midbrain motor command neurons by sensory cues is strongly reduced. Our results suggest that defects in sensorimotor transformation underlie the profound yet selective effects on motor reflexes resulting from the loss of membrane scission mediated by Vps4a.
Fast Feature- and Category-Related Parafoveal Previewing Support Free Visual Exploration
Authors: Fakche Camille , Hickey Clayton , Jensen Ole
Published: October 2024

While humans typically saccade every ∼250 ms in natural settings, studies on vision tend to prevent or restrict eye movements. As it takes ∼50 ms to initiate and execute a saccade, this leaves only ∼200 ms to identify the fixated object and select the next saccade goal. How much detail can be derived about parafoveal objects in this short time interval, during which foveal processing and saccade planning both occur? Here, we had male and female human participants freely explore a set of natural images while we recorded magnetoencephalography and eye movements. Using multivariate pattern analysis, we demonstrate that future parafoveal images could be decoded at the feature and category level with peak decoding at ∼110 and ∼165 ms, respectively, while the decoding of fixated objects at the feature and category level peaked at ∼100 and ∼145 ms. The decoding of features and categories was contingent on the objects being saccade goals. In sum, we provide insight on the neuronal mechanism of presaccadic attention by demonstrating that feature- and category-specific information of foveal and parafoveal objects can be extracted in succession within a ∼200 ms intersaccadic interval. These findings rule out strict serial or parallel processing accounts but are consistent with a pipeline mechanism in which foveal and parafoveal objects are processed in parallel but at different levels in the visual hierarchy.
Aportación del ecumenismo a la unidad de la Iglesia y de la sociedad
Authors: Matabosch Antoni
Published: October 2024

The article explores how ecumenism has been a key tool in promoting unity both within the Christian Church and in wider society. Through interdenominational dialogue and cooperation between diverse Christian traditions, ecumenism seeks to overcome historical and doctrinal divisions, fostering reconciliation and mutual respect. This process not only strengthens ties between churches, but also promotes a culture of peace and understanding in society, highlighting the importance of working together on social, ethical and humanitarian issues.
Ulrico Zuinglio. Una biografía como teología
Authors: Carhuachín César Gerardo
Published: October 2024

This work is an approach to the life of the Swiss reformer Ulrich Zwingli in the XVI century. In this work Zwingli’s life is understood as a locus theologicus, where his passion and commitment to the church and its reform is remarkable. This occurred during his pre-Reformed life, that is, during his priestly ministry in the cities of Glarus and Einsiedeln, and continued into his Reformed life, during his pastoral ministry in the city of Zurich. In the different stages of Zwingli’s life, the God’s presence is implicit, specifically in his concern for the Church, which is evident in the dominant and regulating images of his life that have theological content.
Aporofobia y cultura del descarte: un reto a la solidaridad cristiana
Authors: García Durán Alejandro de Jesús , Rangel Rojas Daniela
Published: October 2024

In this article we want to analyze a quite common phenomenon in the heart of our consumerist societies: the hatred or rejection of the poor (aporophobia). The idea is to present, by the hand of Adela Cortina, creator of neologism, that, behind many social diseases that promote exclusion (racism, xenophobia, etc.) lies this hatred of the poor. At the same time, we would like to show that the reason why the poor are rejected is due to the implantation of what Pope Francis has called the culture of waste, that generates acts of violence and speeches of hate. According to the pope, the culture of waste marginalizes everything that does not fall into the categories of the prevailing culture. Thereby, poverty is presented as a problem that denotes that christian charity has not been completely consummated, because if it was, there would be no one to call poor. Hence, aporophobia and the culture of waste are both presented as an imminent challenge to christian solidarity. The conclusion of the work is that these two phenomena require Christians to take a stand against a type or image of man: the modern capitalist subject, so that the Church's commitment to the poor can be, in truth, effective.
Determination of the antimicrobial effect of varnishes modified with nano particles on the surface of wood materials,
Authors: Özder Cansu , Atar Musa , Atılgan Abdi
Published: October 2024

This study was conducted to determine the effect of modifying some varnishes used in wood materials with different nanomaterials on the antimicrobial properties of wood surfaces. For this purpose, samples prepared from Scots pine (Pinus sylvestris L.) Oriental beech (Fagus orientalis Lipsky), and sessile oak (Quercus petraea Liebl.) were varnished with water-based and synthetic varnish with 0.1% and 0.3% nano boron and nano silver added according to ASTM D3023 (2017). Four different microorganisms (Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus, and Staphylococcus epidermidis) were used to determine the antimicrobial effect on wood surfaces. Among the microorganisms, the highest growth was found in S. aureus and the lowest growth was found in S. epidermidis. In terms of antimicrobial activity, the lowest growth was found in samples with 0.1% nano boron synthetic varnish and highest growth was found in 0.1% water-based varnish. As a result, it is thought that the use of nano materials together with varnishes applied to the surface of wood materials in areas where antimicrobial properties are desired will be beneficial for human and environmental health.
Chiral hydroxypropyl cellulose and nanocellulose liquid crystal structural and phase behavior elucidation and their photonic elastomer advanced manufacturing – A Review
Authors: Zhang Jinlong , De Hoop Cornelis F. , Wu Qinglin , Negulescu Ioan
Published: October 2024

In view of a need for high-performing materials, while also minimizing contributions to plastic pollution, especially ocean micro- or nano- plastic pollution, biodegradable hydroxypropyl cellulose (HPC) and nanocellulose (CNC) liquid crystal biopolymers have attracted attention as emerging fields. Their structures, phase behaviors, and advanced characterization techniques in terms of synchrotron X-ray and neutron small angle scattering of HPC solutions and CNC suspensions have been systemically studied. Diverse left- and right-hand chiral liquid crystal HPC and CNC photonic elastomer materials are further explored. To achieve their complex structure design and mass-scale manufacturing, soft matter photonic materials via advanced manufacturing techniques are critically considered in this review. The goal is to enable their applications in intelligent coating, photonic fiber, and intelligent packaging.
A computer model of the distribution of the tapeworm Echinococcus multilocularis in Ukraine
Authors: Tytar V.M. , Kozynenko I.I.
Published: October 2024

Alveolar echinococcosis, caused by the larval form of the parasitic tapeworm Echinococcus multilocularis, aff ects a wide range of animal species, including domestic and wild livestock, and is a highly pathogenic helminthic disease for humans. Recently developed for the species habitat suitability maps are restricted to the border of the European Union and have left Ukraine outside the scope of this study. Our goal was to model and characterize the large-scale ecological niche of E. multilocularis in Europe, placing a particular emphasis on Ukraine, and to justify an assessment of the risk of E. multilocularis transmission in Ukraine under current environmental conditions. Using the CMCC-BioClimInd dataset and a Bayesian modeling approach, we developed a habitat suitability map for the species in Ukraine and distinguished corresponding risk areas. We anticipate the model will enhance future surveillance eff orts and help to understand the epidemiological situation of the disease, especially under wartime conditions.
The epizootic situation of bovine paratuberculosis in Ukraine for the period 2019–2023
Authors: Pyskun A. V. , Polishchuk O. D. , Kravtsova O. L. , Korniienko L. Y. , Ukhovskyi V. V. , Mietolapova H. M. , Pishchanskyi O. V. , Aliekseieva G. B.
Published: October 2024

Paratuberculosis (Johne’s disease) is a contagious infectious disease, the etiological agent of which affects various species of mammals, mainly ruminants. The causative agent is the acid-resistant bacterium Mycobacterium avium subsp. paratuberculosis (MAP), which belongs to the family Mycobacteriaceae. The most sensitive to it are domestic ruminants (cattle, sheep, goats etc.), which are the main reservoirs of infection for the various species of animals and humans (the zoonotic potential of the pathogen requires further study). In Ukraine, the main methods for diagnosing paratuberculosis are serological and bacteriological techniques. The authors analyzed the epizootic situation of paratuberculosis among cattle in Ukraine during 2019–2023 by systematizing the data of their own research and official reports of state veterinary laboratories in regions. The results of the investigation are presented without taking into account the temporarily occupied territories of Luhansk and Donetsk oblasts and the Autonomous Republic of Crimea, as well as part of the territory where military operations were conducted. In total, over the five-year period, 41 679 samples were examined serologically in the complement fixation test and 13 405 – bacteriologically, by microscopy and cultivation of biological materials on the nutrient media. During the investigation, specific antibodies to the pathogen were detected in 36 samples (prevalence, about 0.1%; BCI, 0.06–0.12%) from the ten regions. The analysis of the serological studies shows that the disease is sporadic and has a significant downward trend in the number of positive cases (17 positive samples were detected in 2019 and 2020, and only two in 2023). As for bacteriological examination, no positive cases have been registered during the 5-year period. In addition to the scrupulous work of the veterinary medicine service, both the persistent decrease in the cattle population and the ongoing hostilities in Ukraine have a considerable impact on improving the epizootic situation., as the number of serological tests conducted after 2022 has almost halved (especially in the eastern and southern regions), and bacteriological tests have decreased fivefold. The visualization of the data shows that antibodies were mostly detected in animals from the central, eastern, northern, and northwestern regions of the country.
Biological characteristics of the extremely rare, narrow-range plant species Potentilla porphyrantha (Rosaceae)
Authors: Janjughazyan K. , Ghukasyan A. , Khachatryan L. , Hovhannisyan H. , Hovakimyan Z.
Published: October 2024

Potentilla porphyrantha Juz. (Rosaceae) is a very rare stenotopic species with a fragmented distribution that includes small subpopulations in Armenia, Nakhichevan and Northern Iran. It has been assessed and listed in the Red Data Book of Armenia as a Critically Endangered species. The main threats to this species are anthropogenic factors (mainly the mining industry) and forecasted climate change. The purpose of this work was to identify the adaptive potential of the species, explore its conservation possibilities in ex situ conditions, assess the feasibility of its reintroduction into natural habitats, and evaluate the threat to natural populations from predicted climate change. The karyology of this species was investigated. The number of chromosomes and karyotype were determined using mitotic chromosome preparations from metaphase stages. During karyological examination of P. porphyrantha, it was determined that the diploid cytorace (2x), 2n =14 of this species grows in the alpine belt. Eco-physiological investigations were conducted to estimate the species' potential for adaptation to new environmental conditions. The study was carried out both in the species' natural habitat and in introduced environments, specifically the semi-desert and meadow-steppe belts (Yerevan and Sevan Botanical Gardens). Special attention was given to the species' potential adaptation to forecast climate changes by using meteorological data from both natural populations and the botanical gardens where the species was grown ex-situ. The individual features of specimens in different conditions were compared. The results showed that specimens growing in the meadow-steppe belt (Sevan Botanical Garden, 1900 m) are in very good condition, comparable to those in natural populations, and can be used for reintroduction into natural habitats.
70 Significant Items from Seven Decades of PCI Journal
Authors:   PCI Journal Editorial Advisory Committee
Published: October 2024

This list of nota¬ble items that have been published in the PCI Journal since its first issue was assembled by PCI’s Journal Editorial Advisory Committee. It covers a large number of the remarkable contributions that many devoted professionals have made to the precast and prestressed concrete industry’s body of knowledge through the Journal. Hyperlinks are included for all entries.
Design of a tooth-shaped magnetorheological brake with multiple coils
Authors: Bien Nguyen Van , Zy Zy Le Hai , Nguyen Quoc Hung , Nguyen Ngoc Diep , Duyen Do Qui
Published: October 2024

This research presents an optimized design for a tooth-shaped magnetorheological brake (MRB) with multiple coils. The MRB configuration consists of a disk immersed in magnetorheological fluid (MRF), where four coils act as electromagnets when an electric current is applied. The energized coils induce the alignment of suspended particles in the MRF, forming a chain-like structure that increases the fluid's viscosity. This rapid, strong, and controllable phenomenon enables the MRB to find applications in haptic systems, tension control, and industrial braking systems. To analyze the electromagnetic behavior of the brake, Finite Element Method (FEM) simulations are conducted using ANSYS APDL, and the optimization process is performed utilizing ANSYS Workbench software. The software provides optimized geometries for the brake, resulting in significant improvements in desired performance aspects compared to prior designs, etc.
Residual stress and deformation of welded T-joint between low carbon steel and stainless steel
Authors: Duong Nguyen Tien
Published: October 2024

The welded structures between carbon steel and stainless steel are widely used in many sectors such as pedestrian bridges, food industry, chemical industry, petroleum, and thermal power plants, … These composite structures take advantages of each material for different parts of structure. In the welded structures between carbon steel and stainless steel, the structure is made by T-joint that is the most common. The calculation of residual stress and welding strain of the T-joint between low-carbon and stainless steel materials is the basis to evaluate the working ability of this structure. In this study, the residual stress and welding deformation of the T-joint are determined by the imaginary force method. The double-sided weld of T-joint between low carbon steel and stainless steel is welded simultaneously by MIG welding process. The obtained results of residual stress and welding deformation in this case are compared with the case of single-sided weld so that we can find the difference between residual stress and welding deformation in two cases.
Artificial Neural Network to Predict Curvature Light Shelf Design Related Daylighting Optimization on Office Spaces
Authors:   Department of Architecture, Faculty of Engineering, Sinai University, Egypt, Zekry Omnya Saleh , Fekry Ahmed Ahmed ,   Department of Architecture, Faculty of Engineering, Cairo University, Giza, Egypt, Hamed Reham El Dessuky ,   Department of Architecture, Faculty of Engineering, Beni Suef University, Beni Suef, Egypt
Published: October 2024

Energy Optimization in building design field now has been revolutionized due to AI and machine learning applications. Leveraging daylight to reduce artificial lighting consumption holds promise for significant energy savings, yet the nonlinear nature of daylight patterns poses challenges in prediction and optimization. This study proposes a novel approach to automated light shelf design using machine learning algorithms, specifically artificial neural networks (ANNs) such as recurrent neural networks (RNN) by long short term memory (LSTM), to accelerate daylighting simulation and optimization processes. The methodology employed two distinct approaches: Firstly, we employed the theoretical-analytical approach to explore methods for utilizing machine learning in natural lighting and light shelf parameters. Second, the practical and applied method involved creating a predictive model for designing the light shelf using appropriate AI and ML techniques. This model is based on an office geometry model at the El Arish weather file in Egypt, four-dimensional training room models with three internal zones-oriented south. Rhinoceros and Grasshopper, two parametric simulation tools, are used to normalize and optimize light shelf parameters like geometry cross-section, curvature surface, width, height position, depth, tilt angle, and reflectance materials. Then, the Galapagos plug-in and Colibri2 are used for dataset creation and optimization. The results demonstrate that automated light shelf operation has a significant impact on internal daylighting quality. RNNs enable rapid prediction of optimization models, reducing time consumption in the early design phase. ML facilitates decision-making by generating evaluative criteria from user-selected design options. RNNs were classified as good and bad and used LSTM to enhance prediction accuracy for efficient illuminance values metric in zones 1 and 2. Challenges include increasing the simulation procedure's efficiency. The results of model accuracy reached 99%. Hence, future research should prioritize resolving the previously identified concerns. In conclusion, this study underscores the importance of ML-driven approaches in early design phases to optimize building energy consumption and pave the way for sustainable architectural practices.
Educare alla musica sacra: 100 anni di esperienza nella Scuola Diocesana di Bergamo
Authors: Sessantini Gilberto
Published: October 2024

La scuola diocesana di musica sacra, oggi Accademia Musicale S. Cecilia di Bergamo, compie cent’anni. Alla luce di questa esperienza  secolare, la relazione, dopo un breve excursus storico, individua alcuni elementi  portanti della formazione alla musica sacra che essa  offre oggi alle parrocchie della Diocesi di Bergamo. Il primo e imprescindibile elemento è la formazione alla musica in generale,  soprattutto delle nuove generazioni. L’accademia svolge questo compito attraverso i corsi di propedeutica musicale, rivolti ai più  piccoli (0–6 anni), e il coro di voci bianche, rivolto agli allievi più grandicelli (7–12 anni). Queste due attività didattiche di fatto ostituiscono il corso di alfabetizzazione musicale e di ear-training. Il secondo elemento riguarda la formazione alla musica sacra. Essa  viene svolta da insegnamenti specialistici di Canto gregoriano, Direzione di coro, Musicologia liturgica e vocalità, Organo. Il punto di  forza risiede nel convergere di più persone e istituzioni verso questa medesima finalità, dal momento che sono coinvolti a vario titolo,  la Cattedrale con i suoi organi e la sua Schola gregoriana, la Basilica di S. Maria Maggiore con la sua rinomata e storica Cappella  musicale, il  Conservatorio di Bergamo. Questa rete di collaborazione di fatto rende le due chiese più importanti della Diocesi anche un duplice centro di produzione, di educazione, di promozione di musica sacra. Ciò che di fatto si insegna in Accademia è ciò che viene attuato in queste due chiese, e, data la loro esemplarità, a ricaduta si attua  nelle parrocchie pur nella diversità dei mezzi a disposizione.
A Deep Learning Automatic Speech Recognition Model for Shona Language
Authors: Sirora Leslie Wellington . , Mutandavari Mainford .
Published: October 2024

This study presented the development of a deep learning-based Automatic Speech Recognition (ASR) system for Shona, a low-resource language characterized by unique tonal and grammatical complexities. The research aimed to address the challenges posed by limited training data, a lack of labelled data, and the intricate tonal nuances present in Shona speech, with the objective of achieving significant improvements in recognition accuracy compared to traditional statistical models. Motivated by the limitations of existing approaches, the research addressed three key questions. Firstly, it explored the feasibility of using deep learning to develop an accurate ASR system for Shona. Secondly, it investigated the specific challenges involved in designing and implementing deep learning architectures for Shona speech recognition and proposed strategies to mitigate these challenges. Lastly, it compared the performance of the deep learning-based model with existing statistical models in terms of accuracy. The developed ASR system utilized a hybrid architecture consisting of a Convolutional Neural Network (CNN) for acoustic modelling and a Long Short-Term Memory (LSTM) network for language modelling. To overcome the scarcity of data, the research employed data augmentation techniques and transfer learning. Attention mechanisms were also incorporated to accommodate the tonal nature of Shona speech. The resulting ASR system achieved impressive results, with a Word Error Rate (WER) of 29%, Phoneme Error Rate (PER) of 12%, and an overall accuracy of 74%. These metrics indicated a significant improvement over existing statistical models, highlighting the potential of deep learning to enhance ASR accuracy for under-resourced languages like Shona. This research contributed to the advancement of ASR technology for under-resourced languages like Shona, ultimately fostering improved accessibility and communication for Shona speakers worldwide.
Cultural Activities, Resources, Practices, and Preservation of the Higaonon Tribe: An Ethnographic Study
Authors:   Cebu Technological University - Naga Extension Campus, Cebu, Philippines, Abatayo Jolo Van Clyde S. , Gumapang Desiree ,   Saint Michael College of Caraga, Agusan del Norte, Philippines
Published: October 2024

The Higaonon Tribe, an indigenous community in the Philippines, is the custodian of a rich cultural heritage deeply rooted in their unique customs, traditions, beliefs, and practices. This ethnographic study was conducted to explore and document the cultural resources and preservation practices of the Higaonon Tribe, particularly in Simbalan, Buenavista, and Agusan del Norte. Through immersive fieldwork involving Focus Group Discussions (FGD) and interviews with key tribe members such as the Datu and Elders, the researchers gained insights into the tribe’s social organisation, religious rituals, traditional knowledge systems, material culture, and artistic expressions. The research documents the tribe’s significant cultural resources, including traditional crafts, oral literature, sacred rituals, and community dances. The findings reveal the tribe’s multifaceted efforts to preserve their cultural heritage through oral traditions, sustainable farming methods, ecological wisdom, and cultural revitalisation initiatives. These practices are not only crucial for maintaining the Higaonon Tribe’s cultural identity but also contribute to the promotion of sustainable living and environmental protection. The study underscores the urgent need to recognise, preserve, and celebrate the Higaonon Tribe’s cultural heritage. It recommends the inclusion of the Higaonon culture in the national educational curriculum and suggests that government programs be designed to promote cultural pride and the embracement of indigenous heritage. The broader implications of these findings extend beyond the Higaonon community, offering valuable insights for global cultural preservation efforts.
Wikinomic Openness as a Space for Preserving Adult Learning Processes during the COVID-19 Pandemic in Poland – A Comparative Analysis of Gender- Generational Differences
Authors:   University WSB Merito in Torun, Poland, Smulska Katarzyna , Krzychała Sławomir ,   DSW University of Lower Silesia, Poland, Rzeczkowski Daniel ,   Warmińsko-Mazurski University in Olsztyn, Poland
Published: October 2024

The article discusses the impact of the COVID-19 pandemic framed as a disorienting dilemma on adult learning behaviour in Poland, focusing on Wikinomic openness and gender-generational differences. The research used the Computer-Assisted Web Interviewing method with 1,089 respondents, analysing their educational and developmental activities in virtual spaces. The study verifies with correspondence analysis hypotheses regarding the dependence of activity forms on gender-generational determinants and the choice of online creations. The results show significant differences in using the open space of the Internet to reorganise educational-developmental activities (transformative learning) between men and women in different age groups.
Sympathetic activity markers in patients with resistant hypertension with renal dysfunction
Authors: Afanasyev S. A. , Popova A. A. , Rebrova T. Yu. , Manukyan M. A. , Lichikaki V. A. , Ryumshina N. I. , Muslimova E. F. , Zyubanova I. V. , Solonskaya E. I. , Khunkhinova S. A. , Skomkina I. А. , Mordovin V. F. , Falkovskaya А. Yu.
Published: October 2024

Aim. To study the informativeness of sympathetic activity markers and perirenal adipose tissue (PRAT) in assessing renal function decline in patients with resistant hypertension (RH).

Material and methods. The study included 63 patients with RH of both sexes aged 40-80 years. The main group included 19 patients with chronic kidney disease (CKD). The control group consisted of 44 patients with RH without CKD. All patients were assessed for uric acid, blood lipid profile, beta-adrenergic reactivity of erythrocyte mem­branes, free metanephrine and normetanephrine in plasma and 24-hour urine. The renal function was assessed by the glomerular filtra­tion rate calculated using the CKD-EPI equation. Twenty-four hour blood pressure monitoring was performed on the brachial artery of one arm at intervals of 15 minutes during the day and 30 minutes at night. Kidney size and PRAT were calculated based on the magnetic reso­nance imaging.

Results. In both groups of patients, a significant increase in blood normetanephrine and beta-adrenergic reactivity of erythrocyte mem­branes relative to the reference values was shown. Blood and 24-hour urine metanephrine were within the reference intervals. No differences were found between the sympathetic activity indices in the main and control groups. In the main group patients, the PRAT thickness was greater (p=0,013), and the kidney diameter was smaller (p=0,046) than in the control group patients.

Conclusion. CKD in RH patients is not accompanied by additional significant changes in sympathetic regulation, assessed by the blood and 24-hour urine catecholamine levels, the degree of beta-adrenergic receptor desensitization and variability of blood pressure. PRAT increase according to magnetic resonance imaging in patients with RH is associated with a decrease in renal filtration function.
Cardio-oncology: a cardiologist's view on the problem of endovascular treatment of patients with coronary artery disease and severe aortic valve stenosis combined with cancer: a literature review
Authors: Alekyan B. G. , Gelesian L. G.
Published: October 2024

Cardio-oncology is a new medical direction which is responsible for the prevention of development, diagnosis and treatment of cardiovascular disease (CVD) in patients with cancer. The prevalence of cardiac pathology in cancer patients turned out to be unexpectedly high, while only half of the patients with pathology of two systems are referred to a cardiologist for consultation and receive optimal therapy. The coincidence of risk fa­ctors for CVD and cancer suggests that these diseases have common underlying biological and molecular mechanisms. Antitumor therapy and radiation therapy can also contribute to the onset and progression of CVD. Diagnosis of coronary artery disease (CAD) in patients with cancer is difficult, since this group of patients often lacks typical angina pain, and the most common complaint is dyspnea. Endovascular surgery for CAD and severe aortic valve stenosis can be an effective and safe method for treating patients with concomitant cancer. However, given the heterogeneity of cancer diseases and the fact that these patients were not included in most randomized trials studying the CVD treatment, further research is required in this area.

Aim. To analyze the literature on the etiopathogenesis of CVD in cancer patients, as well as the clinical features of CAD and aortic valve stenosis in cancer patients and the potential of innovative endovascular technologies.

Conclusion. For management and treatment of such severe comorbid patients, the participation of a multidisciplinary team and a personalized approach to each patient are necessary.
Hypertension prevalence among the male population aged 35-74 years in Novosibirsk
Authors: Ismailova M. A. , Afanaseva A. D. , Garbuzova E. V. , Shramko V. S. , Simonova G. I. , Gerasimenko O. N. , Shpagina L. N. , Imaeva A. E. , Balanova Yu. A. , Ragino Yu. I.
Published: October 2024

Aim. To study the prevalence and risk factors of hypertension (HTN), structure and effectiveness of treatment coverage, as well as disease control indicators among the male population aged 35-74 years in Novosibirsk.

Material and methods. This cross-sectional study of the Novosibirsk population was conducted in 2021-2023 at the Research Institute for Internal and Preventive Medicine — branch of the Federal Research Center Institute of Cytology and Genetics according to the ESSE-RF3 study protocol. A total of 1200 people aged 35-74 years living in Novosibirsk were examined. The analysis included 600 men. The response rate exceeded 70%. HTN was considered detected in systolic blood pressure (BP) ≥140 mm Hg and/or diastolic BP ≥90 mm Hg and/or in patients taking antihypertensive agents. Awareness was estimated as the proportion of individuals who had previously been informed by a physician about HTN. Treatment effectiveness was considered the proportion of individuals who achieved target BP values while taking antihypertensive therapy. Hypertension control was considered the proportion of individuals who achieved target values among all those examined with HTN. Statistical processing was performed using the SPSS software package (version 13.0). Associations were assessed using multiple logistic regression analysis. The critical significance level of the null hypothesis (p) was 0,05.

Results. The medians of systolic and diastolic BP among men in No­vo­sibirsk were 136,0 [126,5; 149,5] and 89,0 [82,0; 95,5] mm Hg, respectively. The prevalence of HTN among men aged 35-74 in Novo­sibirsk was 68,9%, while 81,1% of men in Novosibirsk were aware of HTN. Among men with HTN, 54,7% take antihypertensive agents. The effectiveness of treatment among men in Novosibirsk is 32,3%, while 19,6% of men control the disease. The odds of hypertension occurrence in men with hypertriglyceridemia increased by 3,5 times, with abdominal obesity — by 2 times, with an positive family history for cardiovascular diseases — by 1,6 times, and with each year of life increased by 1,1 times.

Conclusion. The prevalence of HTN among men in Novosibirsk is higher in comparison with the average Russian level. Significant risk factors for HTN include abdominal obesity, hypertriglyceridemia, and decreased physical activity. While awareness, treatment coverage, and HTN control among men aged 35-74 in Novosibirsk correspond to Russian trends, treatment effectiveness turned out to be slightly lower than in the Russian population.