bluuebunny/crossref_metadata_2025 huggingface dataset:
A Wide and Deep Exploration of Radio Galaxies with Subaru HSC (WERGS). X. The Massive and Passive Nature of Radio Galaxies at z ∼ 4
Authors: Yamamoto Yuta , Nagao Tohru , Yamashita Takuji , Uchiyama Hisakazu , Kubo Mariko , Toba Yoshiki , Harikane Yuichi , Ichikawa Kohei , Kajisawa Masaru , Noboriguchi Akatoki , Ono Yoshiaki , Kawaguchi Toshihiro
Published: December 2024

High-z radio galaxies (HzRGs) are considered important objects for understanding the formation and evolution of massive galaxies in the early Universe. However, until to date, detailed studies of the stellar population of HzRGs, such as the star formation history, have been scarce. Therefore, this study conducted a new survey to establish a less-biased sample of HzRGs and consequently investigate their properties. We utilized a sample of g-dropout Lyman break galaxies (LBGs) obtained from an optical wide and deep imaging survey made by Subaru Hyper Suprime-Cam. Based on the cross matching of this LBG sample with the Very Large Array Faint Images of the Radio Sky at Twenty cm radio survey data, we constructed a photometric sample of HzRGs at z ∼ 4 for a ∼560 deg2 survey field. Consequently, we identified 146 HzRG candidates. To analyze the characteristics of these candidates, we focus on objects exhibiting the near-infrared photometry of VIKING or UKIRT Infrared Deep Sky Survey and the mid-infrared photometry of unWISE (28 objects). The results indicate that seven objects exhibit spectral energy distributions (SEDs) consistent with galaxies at z ∼ 4. The HzRG candidates have very large stellar masses with ∼4.2 × 1011
M
⊙ on average. This stellar mass is similar to that of previously discovered ultra-steep-spectrum HzRGs at z ∼ 4, though our sample is affected by a sample selection bias that selects only HzRGs with M
⋆ > 1011
M
⊙. Further, the SEDs of those HzRG candidates suggest a past fast quenching with a rough timescale of ∼0.1 Gyr, as evidenced from the rest-frame UVJ diagram.
HETDEX-LOFAR Spectroscopic Redshift Catalog∗
Authors: Debski Maya H. , Zeimann Gregory R. , Hill Gary J. , Schneider Donald P. , Morabito Leah , Dalton Gavin , Jarvis Matt J. , Mentuch Cooper Erin , Ciardullo Robin , Gawiser Eric , Jurlin Nika
Published: December 2024

We combine the power of blind integral field spectroscopy from the Hobby–Eberly Telescope (HET) Dark Energy Experiment (HETDEX) with sources detected by the Low Frequency Array (LOFAR) to construct the HETDEX-LOFAR Spectroscopic Redshift Catalog. Starting from the first data release of the LOFAR Two-metre Sky Survey, including a value-added catalog with photometric redshifts, we extracted 28,705 HETDEX spectra. Using an automatic classifying algorithm, we assigned each object a star, galaxy, or quasar label along with a velocity/redshift, with supplemental classifications coming from the continuum and emission-line catalogs of the internal, fourth data release from HETDEX (HDR4). We measured 9087 new redshifts; in combination with the value-added catalog, our final spectroscopic redshift sample is 9710 sources. This new catalog contains the highest substantial fraction of LOFAR galaxies with spectroscopic redshift information; it improves archival spectroscopic redshifts and facilitates research to determine the [O ii] emission properties of radio galaxies from 0.0 < z < 0.5, and the Lyα emission characteristics of both radio galaxies and quasars from 1.9 < z < 3.5. Additionally, by combining the unique properties of LOFAR and HETDEX, we are able to measure star formation rates (SFRs) and stellar masses. Using the Visible Integral-field Replicable Unit Spectrograph, we measure the emission lines of [O iii], [Ne iii], and [O ii] and evaluate line-ratio diagnostics to determine whether the emission from these galaxies is dominated by active galactic nuclei or star formation and fit a new SFR–L
150MHz relationship.
Multiwavelength Properties of Infrared-faint Radio Sources Based on Analysis of Their Spectral Energy Distribution
Authors: Zhang 张 Yihang 迤航 , Fan 范 Lulu 璐璐 , An 安 Tao 涛 , Yang 杨 Jun 军 , Sun 孙 Weibin 卫斌 , Yu 于 Haoran 浩然 , Han 韩 Yunkun 云坤
Published: December 2024

Infrared-faint radio sources (IFRSs) are believed to be a rare class of radio-loud active galactic nuclei (AGNs) characterized by their high radio-to-infrared flux density ratios of up to several thousand. Previous studies have shown that a fraction of IFRSs are likely to be hosted in dust-obscured galaxies. In this paper, our aim is to probe the dust properties, star formation rate (SFR), and AGN activity of IFRSs by modeling the UV-to-infrared spectral energy distribution (SED) of 20 IFRSs with spectroscopic redshifts ranging from 1.2 to 3.7. We compare the Bayesian evidence of a three-component model (stellar, AGN, and cold dust) with that of a two-component model (stellar and cold dust) for six IFRSs in our sample with far-infrared photometry and find that the three-component model has significantly higher Bayesian evidence, suggesting that IFRSs are most likely to be AGNs. The median SED of our IFRS sample shows similarities to an AGN–starburst composite in the IR regime. The derived IR luminosities of IFRSs indicate that they are low-luminosity counterparts of high-redshift radio galaxies. We disentangle the contributions of AGN-heated and star formation-heated dust to the IR luminosity of IFRSs and find that our sample is likely AGN-dominated. However, despite the evidence for significant impact of an AGN on the host galaxy, the AGN luminosity of our sample does not show correlation with the SFR of the sources.
Thorium in Kilonova Spectra: Exploring the Heaviest Detectable Element
Authors: Domoto Nanae , Wanajo Shinya , Tanaka Masaomi , Kato Daiji , Hotokezaka Kenta
Published: December 2024

Kilonova spectra provide us with direct information about rapid neutron-capture nucleosynthesis (r-process) in neutron star (NS) mergers. In this paper, we study the signatures of elements beyond the third r-process peak expected to be produced in neutron-rich ejecta in the photospheric spectra of kilonova. We select Ra ii, Ac iii, and Th iii as our candidates because they have a small number of valence electrons and low-lying energy levels, which tend to result in strong absorption features. We systematically calculate the strength of bound–bound transitions of these candidates by constructing a line list based on the available atomic database. We find that Th iii is the most promising species, showing strong transitions at near-infrared wavelengths. By performing radiative transfer simulations, we find that Th iii produces broad absorption features at ∼18000 Å in the spectra when the mass ratio of actinides to lanthanides is larger than the solar r-process ratio and the mass fraction of lanthanides is ≲6 × 10−4. Our models demonstrate that the Th feature may be detectable if the bulk of the ejecta in the line-forming region is dominated by relatively light r-process elements with the mixture of a small fraction of very neutron-rich material. Such conditions may be realized in the mergers of unequal-mass NSs or black hole–NS binaries. To detect the Th absorption features, observations from space (such as with the JWST) or high-altitude sites are important as the wavelength region of the Th features overlaps with that affected by strong telluric absorption.
No Evidence for a Significant Evolution of M•–M. Relation in Massive Galaxies up to z ∼ 4
Authors: Sun Yang , Lyu 吕 Jianwei 建伟 , Rieke George H. , Ji Zhiyuan , Sun Fengwu , Zhu Yongda , Bunker Andrew J. , Cargile Phillip A. , Circosta Chiara , D’Eugenio Francesco , Egami Eiichi , Hainline Kevin , Helton Jakob M. , Rinaldi Pierluigi , Robertson Brant E. , Scholtz Jan , Shivaei Irene , Stone Meredith A. , Tacchella Sandro , Williams Christina C. , Willmer Christopher N. A. , Willott Chris
Published: December 2024

Over the past two decades, tight correlations between black hole masses (M
•) and their host galaxy properties have been firmly established for massive galaxies (with stellar mass

log
(

M

*

/

M

⊙

)
≳
10

) at low-z (z < 1), indicating coevolution of supermassive black holes and galaxies. However, the situation at high-z, especially beyond cosmic noon (z ≳ 2.5), is controversial. With a combination of JWST Near Infrared Camera (NIRCam)/wide field slitless spectroscopy (WFSS) from FRESCO, CONGRESS and deep multiband NIRCam/image data from JADES in the GOODS fields, we study the black-hole-to-galaxy mass relation at z ∼ 1–4. After identifying 18 broad-line active galactic nuclei (AGNs) at 1 < z < 4 (with 8 at z > 2.5) from the WFSS data, we measure their black hole masses based on broad near-infrared lines (Paα, Paβ, and He i
λ10833 Å), and constrain their stellar masses from AGN-galaxy image decomposition or spectral energy distribution decomposition. Taking account of the observational biases, the intrinsic scatter of the M
•−M
* relation, and the errors in mass measurements, we find no significant difference in the M
•/M
* ratio for 2.5 < z < 4 compared to that at lower redshifts (1 < z < 2.5), suggesting no evolution of the M
•−M
* relation at

log
(

M

*

/

M

⊙

)
≳
10

up to z ∼ 4.
RAMSES-yOMP: Performance Optimizations for the Astrophysical Hydrodynamic Simulation Code RAMSES
Authors: Han San , Dubois Yohan , Lee Jaehyun , Kim Juhan , Cadiou Corentin , Yi Sukyoung K.
Published: December 2024

Developing an efficient code for large, multiscale astrophysical simulations is crucial in preparing for the upcoming era of exascale computing. RAMSES is an astrophysical simulation code that employs parallel processing based on the message-passing interface (MPI). However, it has limitations in computational and memory efficiency when using a large number of CPU cores. The problem stems from inefficiencies in workload distribution and memory allocation that inevitably occur when a volume is simply decomposed into domains equal to the number of working processors. We present RAMSES-yOMP, which is a modified version of RAMSES designed to improve parallel scalability. Major updates include the incorporation of open multiprocessing into the MPI parallelization to take advantage of both the shared and distributed memory models. Utilizing this hybrid parallelism in high-resolution benchmark simulations with full prescriptions for baryonic physics, we achieved an increase in performance by a factor of 2 in the total run-time, while using 75% less memory and 30% less storage than the original code, when using the same number of processors. These improvements allow us to perform larger or higher-resolution simulations than what was feasible previously.
Conditions for Solar Prominence Formation Triggered by Single Localized Heating
Authors: Yoshihisa Takero , Yokoyama Takaaki , Kaneko Takafumi
Published: December 2024

We performed numerical simulations to study mechanisms of solar prominence formation triggered by a single heating event. In the widely accepted “chromospheric-evaporation condensation” model, localized heating at footpoints of a coronal loop drives plasma evaporation and eventually triggers condensation. The occurrence of condensation is strongly influenced by the characteristics of the heating. Various theoretical studies have been conducted along one-dimensional field lines with quasi-steady localized heating. The quasi-steady heating is regarded as the collection of multiple heating events among multiple strands constituting a coronal loop. However, it is reasonable to consider a single heating event along a single field line as an elemental unit. We investigated the condensation phenomenon triggered by a single heating event using 1.5-dimensional magnetohydrodynamic simulations. By varying the magnitude of the localized heating rate, we explored the conditions necessary for condensation. We found that, when a heating rate approximately ~104 times greater than that of steady heating was applied, condensation occurred. Condensation was observed when the thermal conduction efficiency in the loop became lower than the cooling efficiency, with the cooling rate significantly exceeding the heating rate. Using the loop length L and the Field length λ
F, the condition for condensation is expressed as λ
F ≲ L/2 under conditions where cooling exceeds heating. We extended the analytically derived condition for thermal nonequilibrium to a formulation based on heating amount.
The Extreme Activity in Comet Hale–Bopp (C/1995 O1): Investigations of Extensive Narrowband Photoelectric Photometry
Authors: Schleicher David G. , Birch Peter V. , Farnham Tony L. , Bair Allison N.
Published: December 2024

Conventional narrowband photoelectric photometry of Comet Hale–Bopp (1995 O1) was obtained on 99 nights from mid-1995 to early-2000, yielding gas and dust production rates over an unprecedented range of time and distance. The appearance of Hale–Bopp (H-B) presented a prime opportunity for active comet studies, and its inherent brightness and orbital geometry allowed the characterization of its long-term activity. Throughout the apparition, H-B released, by far, more gas and dust than any other comet ever measured. As a very high dust-to-gas ratio object, dust production was successfully measured throughout the apparition, with the dust consistently slightly red in color. All five gas species including OH and NH were detected just inside of 5 au inbound, while C2 and C3 were detected to just past 5 au outbound, and CN was followed until nearly 7.7 au. Heliocentric distance dependencies ranged between −1.2 and −2.7 in log–log space, with the extremes magnified by the large extrapolations in Haser model parameters at large distances. H-B’s enormous size and associated extremely high outgassing resulted in a much larger collisional zone, which in turn yielded outflow velocities more than 2× higher than ever previously measured at comparable distances. Even so, volatile composition remained within the “typical” classification, consistent with most Oort Cloud comets, and water production follows the expected curve based on a standard water vaporization model. However, seasonal effects provided evidence for inhomogeneities among the major source regions on the surface of the nucleus. Preliminary modeling of the nucleus and coma successfully matches this seasonal behavior.
Evolution of the tetrapod skull: a systematic review of bone loss
Authors: Kean Kim Julia , Danto Marylène , Pérez-Ben Celeste , Fröbisch Nadia Belinda
Published: December 2024

The simplification of the tetrapod skull occurred convergently in various tetrapod lineages from the Devonian into the Mesozoic, leading to some groups (e.g. lissamphibians) to retain only 19 of the original 41 dermal roof bones present in stem-tetrapods. Despite the potential to shed light on the functional adaptations and developmental mechanisms behind skull simplification, little work has been done on the distribution of bone loss across tetrapod phylogeny. We conducted maximum likelihood ancestral state reconstructions for the presence/absence of temporal and median dermatocranial bones using two large composite trees that placed Lissamphibia either within Temnospondyli or Lepospondyli, reflecting the ongoing debate on lissamphibian origins. Our results indicate that the temporal series did not form a developmental module, as the loss of these bones was quite variable. With the exception of Sauropsida, the intertemporal bone was lost first, followed by the supratemporal, and then the tabular and/or postparietal. In Sauropsida, the tabular and/or postparietal was the second bone to be lost. The supratemporal was lost and regained repeatedly, and was found to be the most variable element, while the nasal, frontal, and parietal were the least variable. Interestingly, the ontogenetic timing of ossification does not correlate with the propensity for a certain bone to be re-acquired or lost. No obvious relationship was found between skull simplification and lifestyle or body size. In summary, the simplification of the dermatocranium is a more complex process than previously thought, and likely involved a mixture of developmental, ecological, and functional drivers.
Increasing the uptake of ecosystem services research in decision-making and education: Follow-up discussion on the “Twenty years of ecosystem services research in Bulgaria”
Authors: Prodanova Hristina , Stoycheva Vanya
Published: December 2024

Ecosystem services research in Bulgaria has been actively studying different aspects of this concept and its implementation. Although it is widely recognizable, the concept has still not been sufficiently implemented in Bulgaria’s decision-making process. Following the European and global initiatives for implementing biodiversity and ecosystem services (BES) into the decision-making process, we have identified the stakeholders’ perceptions regarding the possible initiatives for improving the uptake and the lack of sufficient education program coverage within secondary and higher education. In this short communication, we suggest practical priorities for the future development of BES activities enabling the uptake in Bulgarian education and policy.
Emended Neodactylariales (Dothideomycetes): Szaferohypha gen. nov. and phylogenetically related genera
Authors: Piątek Marcin , Stryjak-Bogacka Monika , Czachura Paweł
Published: December 2024

Epiphytic fungi evolved several times in Dothideomycetes, particularly within the orders Asterinales, Capnodiales, Microthyriales, and Zeloasperisporiales, but also in other, less obvious lineages. In this study, a new genus and species, Szaferohypha and S. enigmatica, isolated from the sooty mould community on the leaves of Symphoricarpos albus in Poland, are described based on morphology and phylogenetic analysis using sequences of four DNA loci (LSU, ITS, SSU, and rpb2). Due to single isolation, it is unclear whether Szaferohypha enigmatica represents a very rare or accidental inhabitant of sooty mould communities. Szaferohypha is assigned to the poorly known family Neodactylariaceae and order Neodactylariales, together with Beaucarneamyces, Neodactylaria, and Pseudoarthrographis. The order and family were originally circumscribed based on the features of the genus Neodactylaria. Therefore, they are emended by characters of Beaucarneamyces, Pseudoarthrographis, and Szaferohypha.
Unusual importance of insectivory in the diet of the Neotropical otter, Lontra annectens (Major, 1897) (Mammalia, Carnivora)
Authors: Pozos-López Luis Ángel , González-Ruiz Noé , Ramírez-Pulido José
Published: December 2024

The Neotropical otter, Lontra annectens, is a predator specialized in aquatic prey, and the main diet of this otter is fish, supplemented mainly by crustaceans and opportunistically by mollusks, insects, and vertebrates such as mammals, amphibians, birds, and reptiles. Occasionally, they eat fruits. This study was conducted on the El Despoblado River near Villa Comaltitlán, in southern Chiapas. We carried out monthly visits along the riverbanks to collect otter scats from April 2018 to April 2019 and found that insects make up more than half of the diet of otters living in this river. Although insects are a common food in the diet of Neotropical otters, the abundant presence of hellgrammites (dobsonfly larvae; Insecta, Megaloptera) had not been recorded before. Otters were found to consume hellgrammites, which are abundant, easy to catch, and have a high nutritional value. This is probably due to the scarce availability of fish and crustaceans in this part of Chiapas.
Vascular plant diversity of the high mountains of Fereydunshahr, Central Zagros, Iran
Authors: Yaselyani Mohsen , Bagheri Ali , Saeidi Hojjatollah , Noroozi Jalil
Published: December 2024

Questions: The mountains of Fereydunshahr County are one of the centers of plant endemism within the Zagros, however, its flora and vegetation remain relatively understudied. In this study we undertook research on the plant species diversity of the subalpine and alpine zones of this area, their life forms, chorology, and vegetation types. Study area: Mountains of Fereydunshahr County, Central Zagros, West Iran. Methods: Plant specimens were collected during the growing seasons of 2018 to 2020. A complete species list was prepared including their life forms, chorotypes, elevation range, and major vegetation types. Results: A total of 308 vascular plant species have been identified belonging to 185 genera and 47 families. The largest plant families recorded during the study are Asteraceae with 44 species, Fabaceae 32, Brassicaceae 29, and Lamiaceae 27. At genus level Astragalus with 23 species is the richest. Hemicryptophyte with 162 (53%) species is the major life form. Most of the species are Irano-Turanian elements (52%). A total of 57 species (19%) are endemic to Iran and 23 species (7%) are endemic to Zagros. Most species belong to the montane-subalpine zone (33%), followed by subalpine (20%), montane (15%), lowland-montane (10%), alpine (9%), and lowland-subalpine (5%). In the alpine zone a high proportion of the species are endemic, while the montane zone has a very low proportion of endemics. From the identified species, 24% belong to subalpine and alpine thorn-cushion grasslands, 19% to montane steppe shrublands, 5% to subalpine tall-umbelliferous vegetation types, 5% to wetlands, and 5% to chasmophyte vegetation. Conclusions: The area has a rich flora, but at the same time is under high pressure from anthropogenic activities, especially a very high level of overgrazing. The region is not a protected area, therefore, establishment of a protected area and efficient conservation planning for the region is highly recommended.

Taxonomic reference: Flora of Iran (Assadi et al. 1989–2021) and, for families not yet covered in the previous source, Flora Iranica (Rechinger 1963–2015).

Abbreviations: ES = Euro-Siberian; IT = Irano-Turanian; M = Mediterranean; SS = Saharo-Sindian.
Parazoanthidae (Cnidaria, Zoantharia) associated with glass sponges on the Nishi-Shichito Ridge, northwestern Pacific Ocean, with the description of a new species
Authors: Kise Hiroki , Reimer James Davis , Iguchi Akira , Ise Yuji , Tsuchida Shinji , Fujiwara Yoshihiro
Published: December 2024

Seamounts are biodiversity hotspots that face increasing threats from anthropogenic activities. Seamounts host diverse sessile suspension-feeding organisms such as sponges and anthozoans, which are crucial for seamount ecosystems as they construct three-dimensional habitats utilized by numerous other animals. Therefore, accurate identification of seamount fauna, in particular of sessile suspension-feeding organisms, is of paramount importance for robust conservation efforts. This study focused on Zoantharia, a sessile anthozoan group, and specifically the family Parazoanthidae, known for associations with many different host taxa, prominently including octocorals and sponges. We collected Parazoanthidae specimens from northwestern Pacific seamounts and formally describe a new species, Vitrumanthus flosculus Kise & Reimer, sp. nov., based on morphological and molecular analyses. We also report the complete mitochondrial genomes of this new species and the related species Churabana kuroshioae. Our results reconfirm the phylogenetic positions of these two species within Parazoanthidae, while demonstrating much remains to be learned about the benthic diversity of northwestern Pacific seamounts.
Topographic conditions for spatial distribution of dolines in Valjevo–Mionica karst, western Serbia
Authors: Milošević Marko , Ćalić Jelena , Milivojević Milovan
Published: December 2024

Valjevo–Mionica karst is a limestone area within the easternmost flanks of the Internal Dinarides in western Serbia. In the spatial extent of 380 km2, it hosts typical karst landforms, primarily dolines, blind valleys, dry valleys and caves. Dolines are present on 75% of the total area, and the exact number of them within the area outline is 5319. The aim of the study is to determine the guidance factors for the spatial distribution of dolines, primarily morphological, while lithological, tectonic and climatic factors are presented at the basic level. Morphological factors in this study are analysed through morphometrical characteristics and calculations, which include the elevation, the mean topographical slope and the landform classification based on geomorphons. Digital elevation models with resolutions 90 m and 30 m are used. Data sources for doline positions were the topographical maps of 1:25,000 scale.Spatial distribution of dolines in the study area is rather uneven. Three zones (clusters) of higher concentration may be distinguished, where 34% of the total study area hosts 72% of dolines. These three zones are the karsts of the villages Lelić, Bačevci and Robaje, divided by deep canyon valleys. Maximum density of dolines, judging by the Kernel density method, is 33 dolines per km2 in the zone of the Stapar village, at the northwestern outskirt of the study area. The main factors influencing the spatial distribution of dolines are the topographical slope and the phases of morphological/hydrographical evolution of the area.
Karren of Provence (France), Gréolières, Caussols, Tourrettes-sur-Loup and Luberon
Authors: Knez Martin , Slabe Tadej , Audra Philippe
Published: December 2024

The rock relief of karst forms, either of surface forms or of caves which are forming on different carbonate rocks and under different conditions, is one of the most telling traces of their formation, along with the characteristic factors and development. Therefore, we meticulously studied and examined the geological features and rock formations, as well as how they fit into the rocky relief. The diverse shaping of the karst surface is revealed by the rock relief of selected karren on different carbonate rocks, fine-grained homogeneous and compact limestones, as well as porous fine-grained sandstones. We have also newly explained the formation of parallel channels on the inclined surfaces of denuded rock (Gréolières); the gradual reshaping of the rock surface from a subsoil one to one directly exposed to rain and water creeping along the gently sloping rock (Caussols). Furthermore, the unique shaping of carbonate sandstones, specifically such with large channels (Tourrettes-sur-Loup) is presented for the first time. The speed of karstification of younger carbonate rocks is revealed by channels on the walls of the palace in Avignon.
Interview with Prof France Šušteršič
Authors: Mulec Janez
Published: December 2024

Professor France Šušteršič dedicated his professional career to the study of karst, & caves. He is renowned for his original research achievements and insightful reflections on the challenges and role of karstology in science.
Klasicistična arhitektura za mariborske proizvajalce rozolije, vinskega kamna in kavnih nadomestkov
Authors: Vidmar Polona
Published: December 2024

V prispevku je obravnavana mariborska arhitektura z elementi neoklasicizma in bidermajerja v kontekstu gospodarskega razvoja mesta, saj so bili v prvi polovici 19. stoletja za novogradnje najzaslužnejši podjetniki, ki so se ukvarjali z živilsko proizvodnjo ali pa so bili lastniki pohorskih steklarn. Stavbna zgodovina Gasteigerjevih destilarn rozolije in vinskega kamna ter Gerdesove in Gerekejeve pražarne kavnih nadomestkov je slabo raziskana, saj so bile prve tovarniške stavbe porušene ali prezidane. V prispevku je na podlagi še neobjavljenih načrtov, fotografij in pisnih virov dopolnjeno dosedanje vedenje o zgodnji mariborski industrijski arhitekturi, stanovanjskih stavbah prvih mariborskih podjetnikov ter o stavbnih mojstrih in arhitektih, ki so delovali po njihovem naročilu (Michael Mareck, Johann Georg Nafz, Anton Wagner, Johann Nusshold, Ferdinand Brodbeck, Joseph Hasslinger). Obravnavane so tudi reklamne tiskovine, na katerih so dali podjetniki upodobiti svoje tovarne.
Trije politiki in umetnost
Authors: Rahten Andrej
Published: December 2024

Namen prispevka je ovrednotiti poglede slovenskih politikov na umetnost, pri čemer je v prvi vrsti opisana njihova zbirateljska in donatorska dejavnost. Predstavljeni so trije politiki slovenskega rodu, ki so delovali v prvi polovici 20. stoletja, a so bili različnih svetovnonazorskih prepričanj in strankarskih opredelitev: Josef Schwegel (1836–1914), Ivan Švegel (1875–1962) in Anton Korošec (1872–1940). Evalvacija temelji na arhivskih virih in biografski literaturi.
Preparing for Tomorrow
Authors: Javed Fareeha
Published: December 2024

The chapter investigates how traditional educational frameworks are unsuccessful in preparing students for the difficulties of a quickly changing, technologically driven world. With breakthroughs in artificial intelligence, automation, and global complexity, traditional teaching techniques that rely on memorization and standardized testing are no longer effective in developing critical thinking, creativity, and problem-solving abilities. The author suggests a shift toward creative educational approaches prioritizing interdisciplinary learning, technological integration, and lifelong learning. These models aim to provide learners with the knowledge and skills required for success in a future characterized by constant change. Educators, institutions, and policymakers are given recommendations for creating a learner-centered, future-ready education system.
The Role of Professional Development in Improving Foundation Phase Teachers' ICT Competence
Authors: Durodolu Mercy , Mashiya Nontokozo , Xulu Smangele , Durodolu Oluwole Olumide
Published: December 2024

This study delves into the effective integration of Information and Communication Technology (ICT) in English language teaching and learning. Given the pivotal role of the English language in today's global landscape, the adept use of modern ICT tools for delivering English language content, particularly at the foundational level, is of paramount importance. Through focus group interviews and classroom observations, the study sheds light on educators' perspectives regarding the adoption, integration, and suitable utilization of ICTs in English language instruction. It delves into teachers' attitudes, beliefs, and their influence on the judicious use of ICT in classroom settings. The study underscores the necessity for professional training of educators in leveraging ICT effectively and advocates for curriculum enhancements to seamlessly integrate ICT tools into English language instruction.
Preparing Teachers for the Next Generation
Authors: Rasheed Nasir , Bhat Shabir Ahmad , Sultan Shaista , Wani Shariq Nabi
Published: December 2024

This chapter, “Preparing Teachers for the Next Generation,” focuses on the multifaceted process of teacher preparation, emphasizing the need for comprehensive professional development that equips teachers with the knowledge, skills, attitudes, behaviors and competencies required for 21st-century education. The chapter begins by exploring the foundational elements of the teaching-learning process. It highlights the importance of teacher training in enhancing not only subject matter expertise but also pedagogical skills, emotional intelligence and adaptability. It offers practical recommendations for professional development programs that support teachers in their continuous growth and adaptation. This chapter provides insights and strategies for preparing educators to meet the challenges and opportunities of the next generation.
Cognitive Analysis by Brain Signal processing With QML
Authors: Mishra Rohit , Mishra Dharmendra , Jain Priyanka , Jain N. K. , Neiwal Rahul , Jain Manoj
Published: December 2024

Considered as one of the most complex phenomena, Quantum Neuro-Science assumed to be appropriate real-world applications of Quantum computers and Machine Intelligence. We suggested for analysing attention in EEG data is a thorough approach that utilizes quantum concepts in various aspects. Frequency Band Analysis employs Quantum Wavelet Transform and Quantum Fourier Transform for non-stationary EEG dynamics, extracting alpha and beta power information. Connectivity Analysis assesses functional connectivity using quantum entanglement, offering insights into complex interactions between brain regions and attention networks. QML techniques, including QSVC and QNN, enhance ERP studies, accelerating P300 analysis for accurate attentional state information. Quadratic Unconstrained Binary Optimization optimizes feature selection in classification models, and hybrid quantum-classical models like QSVC and XGB enable real-time attentional state classification, advancing our understanding of cognitive states. The chapter also touches the aspects of complexity measurement.
Cost Prediction for Home Construction Using Quantum Computing
Authors: Lakshana J. , Madhumitha L. , Lakshmi Priya Dharshini S. , Rajesh Kumar T.
Published: December 2024

Creating a reliable model for predicting house construction costs means looking at lots of different information about building houses and seeing how prices have changed over time. Our goal is to create a system that explores the application of the random forest algorithm for housing construction cost prediction. Additionally, we investigate the potential integration of quantum computing techniques to improve the efficiency and accuracy of cost estimation. This hybrid approach leverages quantum algorithms to optimize complex cost prediction models efficiently. It can be achieved based on numerous attributes, including area, number of rooms and number of bedrooms, building materials, labor costs, and construction time. This system cleans the data, scales the features, and trains using a representative dataset, while also exploring quantum-assisted preprocessing techniques for data optimization.
Design of Smart Health Jacket for Metro Rail Employees With Accident Reporting System Integrated With Quantum Computing
Authors: Subramanian G. , Ponnrajakumari M. , Nandha Kumar M. , Nijanth K.
Published: December 2024

A novel costume, branded the “Smart health jacket for metro employees,” is designed to improve workplace safety and employee wellbeing. An employee's health will be monitored by a network of smart sensors linked to a smart health jacket, which will also provide safety measures to safeguard them from industrial threats while they are at work. The Internet of Things (IOT) provides techniques for monitoring an employee's health via a small device linked to sensors such as temperature, gas, and DHT11. The safety precaution sensors, which are also attached to the jacket, are used to track workplace hazards caused by heavy machinery and dangerous operations. Every sensor data will then be monitored via IoT. Keeping this in mind, consider the social issues that Metro cities face.
Prediction of Multiple Retinal Diseaeses Using Deep Learning Algorithm and Quantum Computing
Authors: Indhuja D. , Sridevi A.
Published: December 2024

Retinal illnesses, such as age-related macular degeneration, glaucoma, retinal detachment, and diabetic retinopathy, are the main causes of vision impairment and blindness. An early and accurate identification of these conditions is necessary for effective patient care and therapy. Convolution neural networks (CNNs) are creatively used for the diagnosis and prognosis of different retinal disorders is presented in this abstract. Quantum computing may often employ the greatest amount of entangled qubits for picture reconstruction. In this study, a huge dataset of retinal pictures representing a range of retinal disorders is collected and annotated with the names of the diseases. These images undergo extensive pre-processing in order to ensure consistency and enhance the model's ability to identify relevant characteristics. To further diversity datasets, augmentation techniques are applied.
Quantum Blockchain-Based E-Waste Facility Locator
Authors: Durgaveni G. , Vani Ganapathy S. , Muthu Lakshmi C. , Subin Karthik R. , Ramesh Babu E. , Moses Sham Navin R.
Published: December 2024

E-waste,commonly known as e-waste,encompasses discarded electronics and electrical goods that are no longer functional or useful.The increasing utilization of electrical and electronic equipment,coupled with their tendency for early obsolescence,has led to a significant surge in the production of e-waste.In response to the mounting concerns surrounding e-waste disposal,this study proposes the integration of quantum blockchain technology into e-waste management systems.By harnessing principles rooted inquantummechanics,such as superposition and entanglement,this platformensures securerecord-keeping and transactions,therebyfostering trust among users and stakeholders.Furthermore,the incorporation of quantumblockchain enhances the functionality and usability of the system through optimized algorithms for search,access control,and user interface logic.This research underscores how quantum blockchain technology can revolutionize e-waste management, stressing the E-Waste Facility Locator's vital role in advancing sustainable practices for a greener future.
Quantum Computing Car Rental System
Authors: Preethi Parameswari S. , Karthikeyan R. , Raguram S. , Jonathan Prince A.
Published: December 2024

Websites that rent out cars must manage their fleets, schedule rentals, and guarantee availability while solving challenging optimization difficulties. These procedures might be optimized more effectively by quantum computing than by traditional computing techniques because of its capacity to handle enormous volumes of data and investigate multiple answers at once. Quantum algorithms are useful for fleet management to reduce downtime, resource allocation for maintenance, and route optimization for automobile delivery. An increase in the need for effective and user-friendly car rental systems is a result of the transportation industry's rapid growth. PHP and MySQL are used in the large-scale project “On the Move” to build a dependable and expandable automobile rental system. This system addresses problems faced by both rental service providers and customers by streamlining the renting process, enhancing user experience, and ensuring data integrity.
Quantum Computing Approach Baby Cry Analysis Using Deep Neural Networks and Convolution Neural Networks
Authors: Kishore Harshan Kumar R. , Prakash R. , Mohith Aakash G. , Nandha S. , Kabilavathan B. , Reeba Rose L. , Sanjiv S.
Published: December 2024

This research presents a inclusive study into the growth of a deep education model handling Convolutional Neural Networks (CNN) for the purpose of discriminating differing causes behind baby crying. The study includes the accumulation and study of baby cry visual and audio entertainment transmitted via radio waves samples, including an far-reaching array of visual and audio entertainment transmitted via radio waves limits in the way that Short-Time Fourier Transform (STFT) Mean, Root Mean Square (RMS) Mean, Spectral Centroid (SC) Mean, Spectral Bandwidth (SBAN) Mean, Zero-Crossing Rate (ZCR) Mean, Mel-repetitiveness Cepstral Coefficients (MFCCs) including MFCCs1 to MFCCs13, alongside accumulation of solid and opening-delta MFCCs13. These diverse visual and audio entertainment transmitted via radio waves appearance are working to train the CNN construction, permissive the model to correctly categorize baby cries established different creative determinants.
Quantum Computing-Based Fake Social Media Profile Detection
Authors: Anciline Jenifer J. , Aarthi R. , Jeyashree A. , Muthumari M. , Rajeswari M. M. , Prakash M. Soorya
Published: December 2024

Quantum Computing-Based Fake Social Media Profile Detection presents a user-friendly model to identify fake profiles on social media platforms, particularly on Twitter. This model is designed to empower users to easily interact with it, enabling the identification of fake profiles or bots and providing an essential defense against potential malicious attacks on social media. Extensive research has been conducted in this area, utilizing machine learning algorithms to detect fake profiles and bot accounts. These algorithms have proven highly effective in identifying the majority of fake profiles on social networks. This study explores the detection of fraudulent profiles on social networks using machine learning algorithms.
Quantum Enhanced Autocrash Detection System
Authors: Gunaa S. , Saravanan M. , Devadharshini G. , Deetchana G.
Published: December 2024

In this modern century, technologies may grow, new trends may come but still the effectiveness of alert during accident is still dependent on mobile phones. Statistically, the rate of accidents are increasing in India alone with the ratio of accident to death per hour as 47:18. The system which we have proposed here is a stand alone system which does not depend on smartphone to detect accident. It uses IoT to detect accident which includes GPS module to send location data. The sole purpose of the system is to increase the response time to the accident. As accidents are not controllable it is the least that a vehicle manufacturers can do to increase the safety of the passengers and drivers. Though inside car safety may reduce damage, it is not comparable to medication given in hospitals. Our system utilises IoT technology for accident detection in vehicles, and we are exploring the integration of quantum computing for advanced data processing, aiming to further reduce response times and enhance passenger safety.
Quantum Foliage Finder Revolutionizing Environmental Monitoring and Conservation With Quantum Computing Through Deep Learning
Authors: Duraimurugan N. , Vaseekaran K. V. , Vikram V.
Published: December 2024

The quantum leaf analyzer is emerging as a pioneering solution in environmental engineering, delivering a quantum-powered platform that transcends traditional boundaries in leaf detection and biotechnology within a time frame of rapid urbanization and environmental degradation in this application harnessing the transformative potential quantum computing with the natural world Using quantum algorithms such as the reconnecting QCNN role, the quantum foliage detector is revolutionizing the way we perceive, interact with and understand foliage, paving the way for a deeper and more holistic approach to environmental management. The quantum-looking hybrid of quantum waves is supported by quantum and copyright equivalence. and the advantages of their expulsion
Secured Healthwatch Monitoring Solution Based on Quantum Computing
Authors: Irudhaya Ananthi S. , Karan Singh E. , Kathirvel Prakash M. , Vishnu M. , Gideon Raj D. , Felix Jebastin B.
Published: December 2024

The “BedCheck Health Hub” introduces a straightforward solution, creating a bridge between technology and healthcare for users and hospitals alike. Featuring an uncomplicated interface with easy Registration and Login options, the platform ensures quick access to essential information on the Dashboard. The Index page employs a simple visual system using red and green lights next to hospital names, offering instant updates on bed availability. In addition to bed occupancy details, the platform presents comprehensive information on Hospital profiles, Medicine and Equipment availability, and critical Blood-Related data. Hospitals are responsible for maintaining accurate profiles by regularly updating information, requiring internet connectivity and the involvement of dedicated staff members.
A Collectivization Approach to Agricultural Supply and Value Chains
Authors: Dalwai Ashok , Khanna Vishita , Das Soumyadeep , Singh Ritambhara
Published: December 2024

Since agriculture as an enterprise can sustain, only if it can yield net positive returns in favour of the farmer-producers, robustness of agricultural value chains assumes critical importance and this is feasible when efficient scales of operations support the system. In the given context of predominance of small & marginal farmers, the solution lies in promoting collectives of farmers and enabling aggregation of produce. It is in this context that the Government has consciously adopted the approach of farmers' mobilisation and aggregation of agri-produce, which will bring in efficiency of higher scale and facilitate the nation's commitment to establishing robust supply chains
Agricultural Warehousing
Authors: Pandey Priyanka , Pant Satish Chandra , Singh Parminder , Yadav Hema
Published: December 2024

The chapter reviews the current state of agriculture warehousing worldwide; this is particularly important in reducing postharvest losses and increasing food safety. It points to the economic and social consequences of faulty storage solutions in developing countries. It stresses the necessity for upgrading agricultural storage, sharing technologies, incorporating online storage, and applying modern storage facilities, especially among smallholder farmers. The issue of agri-warehousing, however, runs into numerous challenges in infrastructure, technologies, and regulatory frameworks in both developed economies as well as in emerging economies. Given the emphasis on theory, policy, and best practices, it is hoped that this chapter will provide a necessary foundation for better understanding of the agricultural warehouse system from a more practical perspective.
Sweet Sorghum Supply Chain for Bio-Ethanol Production
Authors: Kumar Karnatakapu Manoj , Kumari Sneha
Published: December 2024

20% ethanol blending is targeted for petroleum fuel (EBP-20) by countries. However, traditional feedstocks like sugarcane, rice, and maize are facing constraints due to climate change and food security concerns. To bridge this gap, this research explores that Sweet Sorghum as an alternative potential feedstock for bio-ethanol production. While having lower conversion efficiency and ethanol price compared to traditional crops, Sweet Sorghum offers advantages such as multiple cropping cycles per year, high temperature tolerance, and low water requirements. This makes it a sustainable choice for bio-ethanol production and augmenting the ethanol supply.
Supply Chain Through Machine Learning and Artificial Intelligence
Authors: Krishna Raj , Choudhary Kumar Mukul
Published: December 2024

The authors in this chapter have made a detailed study upon the usage of Artificial Intelligence in Supply Chain Mechanism System. Firstly, the authors have gone through the existing literature and practices to know about the current situation. Furthermore, the review of existing literature also helped the authors in identifying the loopholes in the present system. Apart from that the authors have made a comparative study of United States, Africa and India to know how various countries have used this technology to revolutionize agriculture in their respective countries. Lastly the authors have provided solution to the existing problem.
The Convergence of Cybersecurity and Cloud Computing
Authors: Freeda Adline R. , Kanthavel R. , Dhaya R.
Published: December 2024

The quick development of cloud computing, which offers scalability, flexibility, and cost-efficiency, has completely changed how businesses store, manage, and access data. But this change has also brought up serious cybersecurity issues, calling for the establishment of a strong framework to safeguard private data and guarantee the integrity of cloud environments. We start by giving a thorough introduction to cloud computing, including its salient features, deployment patterns. Subsequently, we explore the foundations of cybersecurity, highlighting the essential concepts of confidentiality, integrity, and availability In addition to addressing the shared responsibility model, legal and compliance concerns, and the crucial function of identity and access management (IAM) in the cloud, the chapter emphasizes the convergence of cloud computing and cyber security. We demonstrate real-world implementations of cloud security solutions through a series of case studies, highlighting industry best practices and insights gained from protecting public and hybrid cloud deployments.