bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Climate Change and Urbanization on Groundwater Levels: A System Dynamics Model Analysis
Authors: Asadollahi Amin , Sohrabifar Asyeh , Ghimire Amrit B , Poudel Bishal , Shin Sangmin
Published: January 2024

Climate change and population growth have placed increasing stress on groundwater resources. Effective management of groundwater resources is crucial for promoting sustainable development, especially in areas heavily reliant on groundwater supply. However, sustainable groundwater management is more complex due to various factors affecting key drivers and their feedback interactions. In this regard, this study aims to examine the key driving forces and their interplay concerning fluctuations in groundwater levels within a study area in Illinois, United States, which heavily relies on groundwater for water supply. To achieve this objective, a system dynamics (SD) simulation model was developed, utilizing hydrology, climate, and urbanization data spanning from 2010 to 2020. Through calibration and validation of the SD model with historical data, the model demonstrated reliable simulation capabilities for groundwater levels. Additionally, sensitivity analysis and exploration of water resource scenarios were conducted to evaluate the critical factors influencing groundwater levels. Results revealed that population dynamics, agricultural land, and groundwater recharge were analyzed as key drivers influencing the change in groundwater level for the study area, among the climate and urbanization factors that had different contributions to the groundwater dynamics. A 10% increase in population, agricultural land, and groundwater recharge led to a decrease of approximately 5.5% and increases of 4.5% and 4.27% in groundwater levels, respectively. The results of the four-scenario analysis indicated that both climate change and urbanization exerted significant and adverse impacts on the groundwater level in the study area. These scenarios represented prominent and worst-case situations, highlighting the potential challenges and risks associated with the combination of these factors, which resulted in about a 77 mm decrease in groundwater levels by 2030. Overall, given limited data availability for SD model parameterization, the study emphasizes the need to consider the effects of both urbanization and climate change on groundwater supplies in decision-making for sustainable groundwater management, as well as the need for adequate management measures to maintain the long-term usage of groundwater resources.
Cross-Sectional Study of Efficacy, Effectiveness, and Safety of Combination Creams (Tretinoin 0.05%, Clindamycin 3%, and Dexamethasone 0.05%) Anti-Acne – An Online Study
Authors: Tan Sukmawati Tansil , Yohanes Firmansyah  , Hendsun Hendsun  , Alicia Sarijuwita  , William Gilbert Satyanegara  , Joshua Kurniawan  , Dean Ascha Wijaya
Published: January 2024

Background: Acne vulgaris is a common skin condition that causes blackheads, whiteheads, and pimples. It is caused by a number of things, like too much oil, clogged pores, and inflammation. Topical combination creams are an alternative treatment for acne.  They can help reduce inflammation, kill bacteria that cause acne, and stop the skin from making too much oil. Topical combination creams like retinoids, antibiotics, and steroids are all mixed together in a single cream or gel. This study talks about the effectiveness and side effects of using combination creams (tretinoin 0.05%, clindamycin 3%, and dexamethasone 0.05%) to treat acne in the short and long term (local and systemic).

Methods: This study is a survey that was done at the Sukma clinic with data from 2022 patients who were diagnosed with acne vulgaris. The survey was done on Google Forms, which is a website. In this study, different factors were looked at, such as demographics, efficacy (like reducing acne severity, making the skin brighter, getting rid of blackheads on the face, getting rid of acne scars, improving skin texture, hiding scars, minimizing facial pores, getting rid of wrinkles and dark spots), local adverse events (like burning, itching, stinging, eruptive papules, hypopigmentation, hyperpigmentation, erythema, scaling, and other), and systemic adverse events.

Results: The results of this study show that a combination of tretinoin 0.05%, clindamycin 3%, and dexamethasone 0.05% is very effective and has minimal side effects. Local symptoms only show up during the first week of taking the drug (the "sensitization phase"), and then they tend to get less common over time. The only exceptions are hyperpigmentation and hypopigmentation, which show up later because they are caused by healing acne lesions.

Conclusion: There was no direct link between the use of anti-acne combination cream drugs and the number of systemic side effects. This is because the patient had often had this happen before (constipation, GERD, and others).
Challenges Facing the Use of Electronic Fiscal Devices for Tax Reporting in Zanzibar
Authors: Ramsa Haitham Abdulla , Sheikhr Yahya Hamad , Bakari Abubakar Diwani
Published: January 2024

The study aims to identify the challenges facing the use of Electronic Fiscal Devices (EFDs) for tax reporting. The study applied a descriptive research design where primary data was used with a quantitative research approach. The sample size of the study was 98 taxpayers obtained using Yamane’s formula. SPSS v.26 was used to analyse the data. Results revealed that the challenges facing the use of EFDs for tax reporting include network problems, lack of trust in the use of EFDs for tax reporting, training were not enough, customers do not have a culture of requesting receipts, high cost of EFDs and EFDs often breakdown and not working. This study recommends that the government should provide more training to taxpayers and educate the public about the importance of tax and claiming receipts, and reduce the price of EFDs to encourage more taxpayers to afford to buy the machine or, if possible, to be given to taxpayers free of charge. Also, the government should provide good infrastructure to solve a slow or no network and provide strong punishment for those taxpayers who do not issue a receipt and for those customers who do not request a receipt
A Csigolya fiú esete Pató Sárival
Authors: Béres Norbert
Published: January 2024

The oeuvre of Sándor Petőfi is one of the most well-researched one, still it has parts which are – paradoxically – lesser-known in the literary consciousness. The prose of Petőfi can be seen as a “blind spot” which has not been integrated into the curriculum of public education and it was hardly ever discussed in the professional discourse as this corpus was considered to have a marginal status. Petőfi, who oen declared his versatility in the 1840s, translated prose and experimented with different narrative techniques in his novel and short stories. Petőfi’s short stories are strongly connected to the financial aspects of publishing, however, they should not be viewed simply as “fillers” since these texts can be analysed from a literary perspective, considering the variation of genre conventions, narrative styles and tones in these experimental short stories which interact with the other texts of the oeuvre, as well. This paper reviews Petőfi’s latest published short story regarding the reality effects of the text.
Az apostol lappangása a 19. században
Authors: Margócsy István
Published: January 2024

The Apostle is the most elusive work of Petőfi and its reception is just as telling as the work itself. The homogenous consensus on Petőfi’s poetry was challenged by The Apostle as it is significantly different from the rest of the oeuvre both in terms of content and poetics. That is why this work was underrated or simply was not mentioned in the early reception; later it was merely interpreted as an ideological and poetical statement without taking into consideration the poetic inventions of the text. Moreover, the whole text was published 25 years after it had been written, therefore it could not be integrated into the image of Petőfi. This paper focuses on the presence of the text in the hidden canon of the 19th century, emphasizing that the influential folk-national style could not have come into existence without recognising The Apostle: the text (could have) had the potential of an alternative canonical development because of its irregularities and the obvious ignorance of the categories ’folk’ and ’national’.
Prokofiev was (almost) right: A cross-cultural investigation of auditory-conceptual associations in Peter and the Wolf
Authors: Di Stefano Nicola , Ansani Alessandro , Schiavio Andrea , Spence Charles
Published: January 2024

Over recent decades, studies investigating cross-modal correspondences have documented the existence of a wide range of consistent cross-modal associations between simple auditory and visual stimuli or dimensions (e.g., pitch-lightness). Far fewer studies have investigated the association between complex and realistic auditory stimuli and visually presented concepts (e.g., musical excerpts-animals). Surprisingly, however, there is little evidence concerning the extent to which these associations are shared across cultures. To address this gap in the literature, two experiments using a set of stimuli based on Prokofiev’s symphonic fairy tale Peter and the Wolf are reported. In Experiment 1, 293 participants from several countries and with very different language backgrounds rated the association between the musical excerpts, images and words representing the story’s characters (namely, bird, duck, wolf, cat, and grandfather). The results revealed that participants tended to consistently associate the wolf and the bird with the corresponding musical excerpt, while the stimuli of other characters were not consistently matched across participants. Remarkably, neither the participants’ cultural background, nor their musical expertise affected the ratings. In Experiment 2, 104 participants were invited to rate each stimulus on eight emotional features. The results revealed that the emotional profiles associated with the music and with the concept of the wolf and the bird were perceived as more consistent between observers than the emotional profiles associated with the music and the concept of the duck, the cat, and the grandpa. Taken together, these findings therefore suggest that certain auditory-conceptual associations are perceived consistently across cultures and may be mediated by emotional associations.
Identifying Urban Hotspots and Cold Spots in Delhi Using the Biophysical Landscape Framework
Authors: Gupta Rupesh Kumar
Published: January 2024

Urban heat islands (UHIs), which are formed by biophysical landscape transformations, have significant adverse effects on environmental quality as well as human health, resources, and facilities. Variations in UHI intensity give rise to urban hotspots (UHSs) and cold spots in different parts of the city. This study identifies such hotspots and cold spots in Delhi by classifying the city into zones of different UHI intensities using biophysical landscapes. The data on the selected biophysical landscapes were obtained from satellite images and secondary sources. The impact of different biophysical landscapes on UHI intensity was calculated using the weighted overlay method performed using ArcGIS software. The city of Delhi was thus divided into four zones, based on UHI intensity. It was found that UHSs cover about 45% of the total area and are mostly located in eastern and central Delhi. While built-up areas form the major source landscape, vegetation cover is the major sink landscape as per land surface temperature (LST) and UHI intensity. The findings of this study will help urban planners and policymakers identify UHSs and adopt suitable policies and measures to mitigate UHIs based on the different intensity zones.
SURVEI LOKASI DAN PENYEBAB CEDERA OLAHRAGA PADA ATLET CABANG OLAHRAGA PERMAINAN
Authors: Ridha Sahbana , Rachman Aryadi
Published: January 2024

Tujuan penelitian untuk mengetahui lokasi dan penyebab cedera olahraga pada Atlet cabang olahraga permainan. Penelitian ini menggunakan metode survey. Sampel penelitian adalah Atlet Kontingen Kota Banjarmasin pada Pekan Olahraga Provinsi XI Kalimantan Selatan tahun 2022, sebanyak 253 Atlet dari 14 cabang olahraga permainan dengan menggunakan teknik Sampling Total. Hasil penelitian diketahui lokasi cedera olahraga pada saat pertandingan yaitu cedera pergelangan kaki sebanyak 25,00%. Penyebab cedera olahraga saat pertandingan yaitu terjadi benturan sebanyak 29,79%. Kesimpulan penelitian, atlet cabang olahraga permainan kontingen Kota Banjarmasin mengalami cedera olahraga terbanyak dilokasi pergelangan kaki dan penyebab cedera paling banyak dikarenakan benturan.
PENGEMBANGAN MODEL LATIHAN KEBUGARAN JASMANI BERBASIS PERMAINAN ULAR TANGGA
Authors: Setyawan Gaguk Setyawan , Ro’is Achmad Fitrian , Fahturohzis Tian David
Published: January 2024

Tujuan penelitian ini adalah untuk pengembangan model latihan kebugaran jasmani berbasis permainan ular tangga. Adapun metode yang digunakan dalam penelitian ini adalah Model penelitian dan pengembangan yang digunakan mengadopsi model penelitian dan pengembangan (RD) level 3 menurut Borg and Gall yang dikembangkan oleh Sugiyono (2015:407). Desain penelitian ini digunakan untuk mengembangkan produk berupa model latihan kebugaran jasmani berbasis permainan sebagai aktivitas belajar siswa dalam pembelajaran PJOK. Penelitian ini berfokus pada pengembangan untuk menghasilkan sebuah produk model latihan kebugaran. Teknik pemilihan sampel menggunakan purposive sampling. Sampel didasarkan pada tujuan dan ketersediaan sampel untuk pemeriksaan. Berdasarkan data, diketahui hasil penilaian para ahli memiliki rata- rata nilai (44,3) berada pada interval (37 ≤ X). Dengan begitu maka model latihan kebugaran jasmani berbasis permainan ular tangga bugarjas  yang dikembangkan berada pada kategori sesuai sebagai bentuk latihan kebugaran jasmani pada materi latihan kebugaran dalam pembelajaran PJOK.
AKURASI DAN FLEKSIBILITAS PERGELANGAN TANGAN TERHADAP HASIL PUKULAN SMASH MAHASISWA STKIP AGAMA HINDU SINGARAJA
Authors: Artha I Ketut Agus , Arry Anderzen Kadek , Sudiada I Putu Ari , Widhi Andika Putu Herry , Wijaya Kusuma I Ketut Hendry , Sariyani Ni Nyoman , Prawira Santosa I Gede
Published: January 2024

Penelitian ini bertujuan untuk memperoleh informasi tentang akurasi power otot lengan dan fleksibilitas pergelangan tangan terhadap hasil pukulan smash bulutangkis mahasiswa STKIP Agama Hindu Singaraja. Metode penelitian yang digunakan adalah metode deskriptif. Berdasarkan hasil pengolahan dan analisis data dengan uji statistik, ternyata secara empirik terdapat fleksibilitas yang berarti antara power otot lengan dan fleksibilitas pergelangan tangan terhadap hasil pukulan smash bulutangkis pada UKM Bulutangkis STKIP Agama Hindu Singaraja dan hasil penelitian hipotesis dapat diterima sehingga termasuk dalam kategori tinggi.
Impact of Activation Energy, Diffusion Thermo, Thermal Diffusion and Hall Current on MHD Casson Fluid Flow with Inclined Plates
Authors: Subhan Kanchi  , Prabhakara Rao Gaddala  , Shobalatha Gurram
Published: January 2024

This research article deals with the impact of Activation energy and Hall current on an electrically conducting nanofluid flow past a continuously stretching surface with Diffusion thermo and thermal diffusion has been explored. Transverse magnetic field with the assumption of small Reynolds number is implemented vertically. Appropriate similarity transformations are utilized to transform the governing partial differential equations into the non-linear ordinary differential equations. Numerical solutions for the dimensionless velocity, temperature and nanoparticle concentration are computed with the help of the shooting method. The impact of each of the Activation energy, Hall current parameter, Brownian motion parameter, thermophoresis parameter and magnetic parameter on velocity, concentration and temperature, is discussed through graphs. The skin friction coefficient along the x−and z−directions, the local Nusselt number and the Sherwood number are calculated numerically to look into the inside behavior of the emerging parameters.
Keith Kintrea and Rebecca Madgin (eds),
Transforming Glasgow: Beyond the Post-Industrial City
Authors: JEANNIER FABIEN
Published: January 2024

This article was published open access under a CC BY licence: https://creativecommons.org/licences/by/4.0/
Research on a 44 Day Quasi-periodic Oscillation of Optical Bands for BL Lac S5 0716+714
Authors: Lu Lin , Sun Bin , Fang Zhen-Xing , Wan Meng , Gong Yunlu
Published: January 2024

By means of astronomical observation data from the 60 cm Telescope at Yunnan Observatory, optical data in the g, r, and i bands were collected for BL Lac S5 0716+714, spanning from 2017 November 10 to 2018 May 15. The original data set contains 21,396 quasi-simultaneous multiband points, with 7132 data points for each band. The Lomb–Scargle periodogram method and the weighted wavelet Z-transform method were used to search for a quasi-periodic oscillation (QPO) signal in the data. For the first time, we report a QPO signal at 44 ± 6 days with a final significance of 3.98σ. Further analysis of the spectrum index reveals that the 44 day QPO signal is most likely explained by a helical motion of a blob with velocity
β
in the jet, where the viewing angle of the emission region in the jet undergoes periodic variations. In addition, we employed the hypothesis testing method (the null hypothesis) to analyze the flux distribution and determined that a double log-normal distribution provides a better fit; thus, there may be two radiative mini-regions within a jet in this source, so this 44 day QPO signal may be superimposed on a longer-term outburst.
Disentangling the Black Hole Mass Spectrum with Photometric Microlensing Surveys
Authors: Perkins Scott E. , McGill Peter , Dawson William , Abrams Natasha S. , Lam Casey Y. , Ho Ming-Feng , Lu Jessica R. , Bird Simeon , Pruett Kerianne , Golovich Nathan , Chapline George
Published: January 2024

From the formation mechanisms of stars and compact objects to nuclear physics, modern astronomy frequently leverages surveys to understand populations of objects to answer fundamental questions. The population of dark and isolated compact objects in the Galaxy contains critical information related to many of these topics, but is only practically accessible via gravitational microlensing. However, photometric microlensing observables are degenerate for different types of lenses, and one can seldom classify an event as involving either a compact object or stellar lens on its own. To address this difficulty, we apply a Bayesian framework that treats lens type probabilistically and jointly with a lens population model. This method allows lens population characteristics to be inferred despite intrinsic uncertainty in the lens class of any single event. We investigate this method’s effectiveness on a simulated ground-based photometric survey in the context of characterizing a hypothetical population of primordial black holes (PBHs) with an average mass of 30M
⊙. On simulated data, our method outperforms current black hole (BH) lens identification pipelines and characterizes different subpopulations of lenses while jointly constraining the PBH contribution to dark matter to ≈25%. Key to robust inference, our method can marginalize over population model uncertainty. We find the lower mass cutoff for stellar origin BHs, a key observable in understanding the BH mass gap, particularly difficult to infer in our simulations. This work lays the foundation for cutting-edge PBH abundance constraints to be extracted from current photometric microlensing surveys.
X-Ray Observations of the Enigmatic Wolf–Rayet System θ Mus: Two’s Company but Three’s a Crowd
Authors: Skinner Stephen L. , Zhekov Svetozar A. , Güdel Manuel , Schmutz Werner
Published: January 2024

θ Mus is a remarkable spectroscopic binary (SB) consisting of a carbon-type Wolf–Rayet star and OV companion (WC6+O6–7V) in a ≈19 days orbit. In addition an O-supergiant is visually detected at a small offset of 46 mas and if gravitationally bound to the SB system would have an orbital period of many decades. θ Mus is X-ray bright and a nonthermal radio source as commonly observed in massive colliding wind (CW) binaries. We present new Chandra X-ray observations of θ Mus, which complement previous XMM-Newton observations. The X-ray emission consists of a cool, nearly steady, weakly absorbed plasma component with broad redshifted emission lines located in an extended region far from the SB system. Hotter plasma is also present traced by Fe xxv emission. The observed flux in the ≈2–5 keV range dropped significantly on a timescale of ≤5 yr. The flux decrease can be attributed to an increase in absorption toward the hotter plasma which is likely located in the confined wind interaction region of the short-period SB system. The X-ray emission of θ Mus is remarkably similar to the WC+O binary γ
2 Vel including carbon recombination spectral lines but both systems show unusual line centroid properties that challenge CW models.
A Large Sample of Extremely Metal-poor Galaxies at z < 1 Identified from the DESI Early Data
Authors: Zou Hu , Sui Jipeng , Saintonge Amélie , Scholte Dirk , Moustakas John , Siudek Malgorzata , Dey Arjun , Juneau Stephanie , Guo Weijian , Canning Rebecca , Aguilar J. , Ahlen S. , Brooks D. , Claybaugh T. , Dawson K. , de la Macorra A. , Doel P. , Forero-Romero J. E. , Gontcho A Gontcho S. , Honscheid K. , Landriau M. , Le Guillou L. , Manera M. , Meisner A. , Miquel R. , Nie Jundan , Poppett C. , Rezaie M. , Rossi G. , Sanchez E. , Schubnell M. , Seo H. , Tarlé G. , Zhou Zhimin , Zou Siwei
Published: January 2024

Extremely metal-poor galaxies (XMPGs) at relatively low redshift are excellent laboratories for studying galaxy formation and evolution in the early universe. Much effort has been spent on identifying them from large-scale spectroscopic surveys or spectroscopic follow-up observations. Previous work has identified a few hundred XMPGs. In this work, we obtain a large sample of 223 XMPGs at z < 1 from the early data of the Dark Energy Spectroscopic Instrument (DESI). The oxygen abundance is determined using the direct T
e method based on the detection of the [O iii]λ4363 line. The sample includes 95 confirmed XMPGs based on the oxygen abundance uncertainty; the remaining 128 galaxies are regarded as XMPG candidates. These XMPGs are only 0.01% of the total DESI observed galaxies. Their coordinates and other properties are provided in the paper. The most XMPGs have an oxygen abundance of ∼1/34 Z
⊙, a stellar mass of about 1.5 × 107
M
⊙, and a star formation rate of 0.22 M
⊙ yr−1. The two most XMPGs present distinct morphologies suggesting different formation mechanisms. The local environmental investigation shows that XMPGs preferentially reside in relatively low-density regions. Many of them fall below the stellar mass–metallicity relations (MZRs) of normal star-forming galaxies. From a comparison of the MZR with theoretical simulations, it appears that XMPGs are good analogs to high-redshift star-forming galaxies. The nature of these XMPG populations will be further investigated in detail with larger and more complete samples from the ongoing DESI survey.
The ALMA-QUARKS Survey: Detection of Two Extremely Dense Substructures in a Massive Prestellar Core
Authors: Mai Xiaofeng , Liu Tie , Liu Xunchuan , Zhu Lei , Garay Guido , Goldsmith Paul F. , Juvela Mika , Liu Hongli , Mannfors Emma , Tej Anandmayee , Sanhueza Patricio , Li Shanghuo , Xu Fengwei , Semadeni Enrique Vazquez , Jiao Wenyu , Peng Yaping , Baug T. , Yang Aiyuan , Dewangan Lokesh , Bronfman Leonardo , Gómez Gilberto C. , Palau Aina , Lee Chang Won , Qin Sheng-Li , Tatematsu Ken’ichi , Chibueze James O. , Yang Dongting , Lu Xing , Luo Qiuyi , Gu Qilao , Issac Namitha , Zhang Suinan , Li Pak-Shing , Zhang Bo , Tóth L. Viktor
Published: January 2024

Only a handful of massive starless core candidates have been discovered so far, but none of them have been fully confirmed. Within the MM1 clump in the filamentary infrared dark cloud G34.43+0.24 that was covered by the Atacama Large Millimeter/submillimeter Array (ALMA) ATOMS survey at Band 3 (∼2″, 6000 au) and the ALMA-QUARKS survey at Band 6 (∼0.″3, 900 au), two prestellar core candidates MM1-C and E1 with masses of 71 and 20 M
⊙ and radii of 2100–4400 au were discovered. The two cores show no obvious sign of star formation activities. In particular, MM1-C is a very promising massive prestellar core candidate with a total gas mass of 71 M
⊙. Within MM1-C, we detected two extremely dense substructures, C1 and C2, as characterized by their high densities of

n

H

2

∼

10

8
–
9

cm

−
3

. Moreover, evidence of further fragmentation in C2 was also revealed. We have detected the primordial fragmentation in the earliest stage of massive star formation, and we speculate that MM1-C would be the birthplace of a massive multiple system. However, we cannot fully rule out the possibility that the massive prestellar core MM1-C will just form a cluster of low-mass stars if it undergoes further fragmentation.
Constraints on Cosmological Coupling from the Accretion History of Supermassive Black Holes
Authors: Lacy Mark , Engholm Athena , Farrah Duncan , Ejercito Kiana
Published: January 2024

Coupling of black hole mass to the cosmic expansion has been suggested as a possible path to understanding the dark energy content of the Universe. We test this hypothesis by comparing the supermassive black hole (SMBH) mass density at z = 0 to the total mass accreted in active galactic nuclei (AGN) since z = 6, to constrain how much of the SMBH mass density can arise from cosmologically coupled growth, as opposed to growth by accretion. Using an estimate of the local SMBH mass density of ≈1.0 × 106
M
⊙ Mpc−1, a radiative accretion efficiency, η, in the range 0.05 < η < 0.3, and the observed AGN luminosity density at z ≈ 4, we constrain the value of the coupling constant between the scale size of the Universe and the black hole mass, k, to lie in the range 0 < k ≲ 2, below the value of k = 3 needed for black holes to be the source term for dark energy. Initial estimates of the gravitational-wave background (GWB) using pulsar timing arrays, however, favor a higher SMBH mass density at z = 0. We show that if we adopt such a mass density at z = 0 of ≈7.4 × 106
M
⊙ Mpc−1, this makes k = 3 viable even for low radiative efficiencies, and may exclude nonzero cosmological coupling. We conclude that, although current estimates of the SMBH mass density based on the black hole mass–bulge mass relation probably exclude k = 3, the possibility remains open that, if the GWB is due to SMBH mergers, k > 2 is preferred.
Cassini UVIS Observations of the Enceladus Auroral Footprint on Saturn in 2017
Authors: Pryor Wayne R. , Magalhães Fabiola P. , Lamy Laurent , Prangé Renée , Esposito Larry W. , Gustin Jacques , Rymer Abigail M. , Sulaiman Ali H.
Published: January 2024

Ultraviolet Imaging Spectrograph (UVIS) observations show the Enceladus auroral footprint on Saturn on 2017 September 14, near the end of the Cassini mission. A series of Saturn north polar auroral images were obtained by slowly slewing the Cassini spacecraft at right angles to the UVIS long slit. The images were limb-fit to improve the spacecraft geometry. Enhanced extreme-ultraviolet 88–118 nm channel emissions due to electron impact on atomic and molecular hydrogen were seen in the expected location for the Enceladus auroral footprint on five successive images spanning almost 4 hr. Enhanced emissions were also seen in simultaneously obtained far-ultraviolet 111–165 nm images in at least two of these images, with the spectral signature expected for auroral emissions. While most Cassini UVIS auroral images do not show the Enceladus auroral footprint, these 2017 images support the earlier detection of an Enceladus-linked spot on Saturn in 2008 Cassini UVIS data.
Anticancer potential of garlic bioactive constituents: Allicin, Z-ajoene, and organosulfur compounds
Authors: Talib Wamidh H. , Atawneh Sally , Shakhatreh Areen Nabil , Shakhatreh Ghyda’a Nabil , Rasheed aljarrah Islam Subhi , Hamed Reem Ali , Adel banyyounes Doaa , Al-Yasari Intisar Hadi
Published: January 2024

Cancer, a formidable disease with a significant mortality rate, continues to claim the lives of thousands of individuals annually in contemporary society. Conventional cancer therapies are notorious for their substantial adverse effects and lack of specificity. Within the context of neoplastic development, cancer hallmarks represent fundamental biological properties that cancer cells progressively acquire. A promising approach for combating cancer involves the simultaneous targeting of multiple cancer hallmarks. Plant-derived natural compounds stand out as a promising reservoir for the development of novel and more efficacious anticancer therapeutics due to their structural diversity and minimal toxicity profiles.

Garlic (Allium sativum) has garnered considerable attention for its established anti-cancer properties over the years. Within garlic, a myriad of bioactive constituents, including organosulfur compounds, flavonoids, and phenolic compounds, exhibit distinct effects on cancer cells.

The objective of this review paper is to furnish a comprehensive elucidation of the mechanisms underpinning the anticancer actions of garlic. The elucidated findings from the studies encompassed within this review not only contribute to a more profound comprehension of the anti-cancer properties of garlic but also serve as a robust foundation upon which researchers and healthcare practitioners can formulate enhanced anticancer pharmaceuticals grounded in natural garlic compounds.
Anticancer and antioxidant activities of essential oils of Chiliadenus iphionoides from Jordan: in vitro and in vivo study
Authors: AlNaimat Sumayah , Abu-Odeh Ala’ , Talib Wamidh H.
Published: January 2024

Medicinal plants have been used since ancient times and may even be considered the origin of modern medicine. Natural products are a potential source for drug discovery and development of cancer treatments. Several pharmacological therapeutic activities were reported for Chiliadenus iphionoides. This research was designed to evaluate the essential oil of Chiliadenus iphionoides antioxidant potential and antiproliferative activity both in vitro and in vivo. The essential oil of Chiliadenus iphionoides was extracted by hydrodistillation. The chemical composition analysis was performed using gas chromatography. The main compounds identified in Chiliadenus iphionoides essential oil were oxygenated monoterpenes, such as eucalyptol (36.08%). A dose-dependent inhibition of cell proliferation was observed after the treatment of various cell lines (A549 (human lung cancer adenocarcinoma), MDA-MB-231 (triple-negative breast cancer cell line), T47 (human breast cancer cell line), EMT6/P (mouse mammary sarcoma cell line)) with increasing concentrations of the essential oil (0.02–2.5 mg/mL). The essential oil of Chiliadenus iphionoides was more cytotoxic against EMT6 and T47 cells with IC₅₀ values of 0.03±0.03 and 0.08± 0.009 mg/mL, respectively. The essential oil exhibited low cytotoxicity against a normal VERO cell line (IC₅₀ value > 4 mg/ml). Balb/C mice were inoculated with EMT6/p breast cancer cells and then treated with (60 mg/kg/day intraperitoneal injection) of essential extract for ten days. Interestingly, a significant (p < 0.05) reduction occurred in the tumor size of the treated group compared to the control group. Treatment toxicity was evaluated by measuring liver and kidney parameters. The tumor-bearing mice treated with the Chiliadenus iphionoides extract showed normal serum levels of AST, creatinine, and slight elevation in ALT level. The results indicated that Chiliadenus iphionoides have anticancer properties both in vitro and in vivo. We suggest that eucalyptol, a major active component, is a promising candidate for use as an anticancer agent. However, further molecular investigation is required to understand the molecular bearings of Chiliadenus iphionoides activity.
Credit Market Imperfections, Urban Land Rents and the Henry George Theorem
Authors: Brunetti Roberto , Gaigné Carl , Moizeau Fabien
Published: January 2024

Cet article étudie l’impact du marché du crédit sur les prix du foncier et ses implications en termes de politiques fiscales. Nous introduisons un coût à l’emprunt et une contrainte d’apport personnel dans le modèle standard d’économie urbaine. Ces imperfections s’avèrent réduire les prix de la terre dans les localisations les plus attractives. Cette baisse est d’autant plus forte que les terres sont rares et les villes peuplées et dotées d’infrastructures de transport inefficaces. La contrainte d’apport personnel peut générer des écarts d’utilités d’équilibre entre des ménages initialement homogènes. Le théorème d’Henry George, selon lequel une taxe confisquant les rentes foncières suffit à financer les biens publics, doit être amendé en présence de contraintes de crédit. Pour chaque type d’imperfections du marché du crédit, nous proposons un système de taxation optimale .
Loi EGAlim : quels effets pour les consommateurs et la grande distribution ?
Authors: Bonnet Céline , Leveneur Pauline
Published: January 2024

Cet article étudie l’effet de la loi EGAlim sur les prix et ventes des produits alimentaires. Les données IRI de janvier 2017 à février 2020 révèlent une inflation de l’ordre de 1 % durant la première année qui a suivi l’entrée en vigueur de la loi. Cependant, grâce à la méthode d’identification causale des doubles différences, nous montrons que les trois mesures de cette loi, le relèvement du seuil de revente à perte et l’encadrement en volume et en valeur des promotions, n’ont pas eu un effet significatif à long terme sur les prix des produits composant le fond de rayon des magasins, excepté sur les trois premiers mois pour les produits d’appel ciblés par le relèvement du seuil de revente à perte. De plus, nos résultats suggèrent que l’encadrement des promotions jouerait un rôle non négligeable dans l’augmentation des prix payés par les consommateurs. Classification JEL  : D04, L50, Q18.
Structure preservation in high-order hybrid discretisations of potential-driven advection-diffusion: linear and nonlinear approaches
Authors: Lemaire Simon , Moatti Julien
Published: January 2024

We are interested in the high-order approximation of anisotropic, potential-driven advection-diffusion models on general polytopal partitions. We study two hybrid schemes, both built upon the Hybrid High-Order technology. The first one hinges on exponential fitting and is linear, whereas the second is nonlinear. The existence of solutions is established for both schemes. Both schemes are also shown to possess a discrete entropy structure, ensuring that the long-time behaviour of discrete solutions mimics the PDE one. For the nonlinear scheme, the positivity of discrete solutions is a built-in feature. On the contrary, we display numerical evidence indicating that the linear scheme violates positivity, whatever the order. Finally, we verify numerically that the nonlinear scheme has optimal order of convergence, expected long-time behaviour, and that raising the polynomial degree results, also in the nonlinear case, in an efficiency gain.
À propos de la loi pour contrôler l'immigration, améliorer l'intégration, entretien avec Véronique Champeil-Desplats, professeure et vice-présidente déléguée à la recherche de l’Université Paris-Nanterre
Authors: Champeil-Desplats Véronique
Published: January 2024

Le présent entretien poursuit la série consacrée, depuis le début de l’année, à la loi sur l’immigration adoptée le 19 décembre 2023. À la veille de la décision du Conseil constitutionnel, un focus est proposé par Véronique Champeil-Desplats sur les dispositions concernant les étudiants étrangers.
Instagram's Role in the Rise and Success of Over-the-Top (OTT) Media
Authors: Harry B. , Muthusamy Vijayakumar
Published: January 2024

This comprehensive chapter delves into the pivotal role of Instagram's role in shaping over-the-top (OTT) media, highlighting its visual storytelling, marketing potential, and strategic influencer collaborations. It also explores user-generated content and fan networks, fostering kinship and audience loyalty. by investigating the Instagram's dynamic discovery features, including hashtags, trends, and algorithmic recommendations, amplify OTT content's reach and resonance. Real-time interaction between creators and audiences also shapes content production, marketing campaigns, and informed decision-making. The chapter also explores Instagram's revenue-generating potential for both OTT platforms and content creators, with influencer endorsements, sponsored posts, and product integrations emerging as avenues for supplementary revenue streams. Overall, this comprehensive exploration of Instagram's impact on OTT media provides a comprehensive understanding of their symbiotic relationship, fueling the contemporary media landscape.
DeepSlicing
Authors: Zhang Shuai , Chen Yu , Zhang Sheng , Chen Zhiqi
Published: January 2024

Convolutional neural networks (CNNs) have revolutionized computer vision applications with recent advancements. Extensive research focuses on optimizing CNNs for efficient deployment on resource-limited devices. However, the previous studies had several weaknesses, including limited support for diverse CNN structures, fixed scheduling strategies, overlapped computations, and high synchronization overheads. In this chapter, the authors introduce DeepSlicing, an adaptive inference system that addresses the above challenges. It supports various CNNs and offers flexible fine-grained scheduling, including GoogLeNet and ResNet models. DeepSlicing incorporates a proportional synchronized scheduler (PSS) for balancing computation and synchronization. Implemented using PyTorch, the authors evaluate DeepSlicing on an edge testbed of 8 heterogeneous Raspberry Pis. Results showcase the remarkable reductions in inference latency (up to 5.79 times) and memory footprint (up to 14.72 times), demonstrating the efficacy of this proposed approach.
LSTM With Bayesian Optimization for Forecasting of Local Scour Depth Around Bridges and Piers
Authors: Ali Ahmed Shakir , Ebrahimi Saman , Ashiq Muhammad Masood , Kashani Ali R.
Published: January 2024

Scour is a critical issue that impacts the safety and strength of bridges. Precise scour forecasts around bridge piers can provide useful data for bridge engineers to bring preventive actions. This study uses long short-term memory (LSTM) neural network with Bayesian optimization to forecast the scour around the bridges and piers. The LSTM network was trained and tested using only scour depth data from a calibrated numerical model. The outcomes indicate that the proposed LSTM model provides precise scour depth forecasts. The study presents the performance of the LSTM model for predicting scour depth around bridge piers, which can help enhance the safety and stability of bridges. The model has shown acceptable outcomes, with a rank correlation equal to 0.9866 in the training stage and 0.9655 in the testing stage. Moreover, the LSTM model was used to forecast the scour depth for 11 minutes.
In-Depth Outlook on the Use of ChatGPT
Authors: Dhankhar Shikha
Published: January 2024

ChatGPT is a flexible platform with many uses. ChatGPT may improve teamwork or company growth. In terms of technical innovation and the ability it has to improve people's lives, ChatGPT is hard to beat. The majority of current applications of AI are focused on automating previously manual tasks. ChatGPT demonstrates, on the other hand, that AI may evolve into a helpful helper that picks up new skills via regular usage. This study reviews ChatGPT's contemporary usage in different areas and businesses and examines its role in cryptocurrency. We have merely tapped the surface of ChatGPT's economic possibilities for all sectors. From revolutionary content creation to improved customer experiences and targeted product suggestions, this conversational AI system may unleash growth strategies. Among the many applications of ChatGPT in the cryptocurrency trading industry are real-time market analysis, historical asset appraisal, and risk management. Investors and traders may rest comfortably knowing they have quick access to information regarding ChatGPT's history, giving them peace of mind.
When AI Meets Influence
Authors: Saini Shweta , Ngah Abdul Hafaz , Sahai Seema , Bansal Rohit
Published: January 2024

Marketing through social media influencers has emerged as a powerful strategy for brands to connect with their target audiences, by leveraging the credibility and reach of influential individuals. Recently, one of the new AI-tools has revolutionized human-computer interactions by offering personalized and engaging conversational experiences. By combining influencer marketing and ChatGPT, brands can tap into the influencer's existing audience and leverage their authenticity and expertise. This chapter explores the integration of influencer marketing with ChatGPT by identifying the benefits and limitations of it. To collect data, various secondary sources were used such as websites, reports, and journals through various sources like google scholar etc. Findings revealed that influencer marketing with ChatGPT is an innovative synergistic approach that enhances user engagement and facilitates a more seamless and personalised interaction between users and AI.
A Web-Based Platform to Reduce Food Wastage Through Women Organisation
Authors: Rajendran Srinivasan , Rajeswari D.
Published: January 2024

Food waste can be reduced and people in need can be helped by giving extra food to orphanage kids, elderly people, etc. Around the world, a lot of women's NGOs and groups focus on helping women and addressing challenges like hunger and food insecurity. This chapter assists in filling the gap between the orphanage and the food excess through the women's organisation. This concept gives women's organisations a platform to meaningfully support society. Around the world, there are numerous organisations dedicated to empowering women in various fields. The fundamental factor that is probably connected to women is food. This chapter offers a platform for women's organisations to reduce food waste. This application connects those in need by utilising artificial intelligence capabilities. This chapter offers a web-based platform for women's organisations to reduce food waste. A web application connects the needy people and people who have extra food using artificial intelligence capabilities.
Artificial Intelligence in Detecting and Preventing Online Harassment
Authors: Vyawahare Harsha , Khandelwal Sarika , Rathod Seema
Published: January 2024

In today's digital age, online spaces offer incredible opportunities for communication, networking, and personal expression. However, they also harbor the potential for harassment and abuse, which can be particularly detrimental to women. Online harassment, including cyberbullying, stalking, and threats, can have profound emotional, psychological, and even physical consequences. To combat this pervasive issue and create safer digital environments, AI-driven cybersecurity solutions are increasingly playing a vital role in shielding women from online threats. This chapter explores the crucial role of artificial intelligence (AI) in addressing the pervasive issue of online harassment. The chapter makes a comprehensive survey and analysis of AI algorithms, natural language processing, and machine learning models to focus role of these technologies in reshaping the landscape of digital safety.
Improving Workplace Safety With AI-Powered Predictive Analytics
Authors: Rathod Seema Babusing , Mahajan Rupali A. , Khadkikar Prajakta A. , Vyawahare Harsha R. , Patil Purushottam R.
Published: January 2024

In today's technology-driven era, workplace safety remains a paramount global concern. To proactively prevent accidents, mitigate risks, and ensure employee well-being, this chapter introduces the research project 'AI-Driven Predictive Safety Analytics Enhancing Workplace Security'. This initiative leverages artificial intelligence (AI) and data analytics to transform occupational safety. By harnessing historical incident data, real-time monitoring, and advanced machine learning, it aims to create a predictive safety system that identifies and pre-empts potential hazards. Anticipated outcomes include a more secure work environment, reduced accidents, improved well-being, and enhanced efficiency. Empowering decision-makers with actionable insights, this approach enables data-driven, proactive choices, setting the stage for a safer workplace future through cutting-edge technology and data-driven insights.
Reviewing Women's Safety Using AI and IoT Devices
Authors: Siddiqui Ahmad Tasnim
Published: January 2024

Despite so much technological advancement in the modern world, women and children's safety has always been a concern. It is the matter of fact that women these days are more empowered than early age, and they are moving from one location to another for better financial inclusion. There are countless jobs and places where women work and travel every single day. It is not safe for them to travel alone on lonely roads and in lonely areas. Sadly, the number of offenses against women has increased dramatically over the last few decades. A system must be established that makes her feel safe under any circumstance. Fortuitously, we are in the era of artificial intelligence (AI) and internet of things (IoT), and these two together can work superbly to tackle the situation. AI and IoT-based systems provide better assessments of the situation, which allows women to handle the tense environment better than ever before. The purpose of this study is to present a systematic literature review of research studies that demonstrate the use of AI and internet of things devices for the safety of women.
Recommendation to diagnose male factor infertility based on routine semen analysis results
Authors: Raguraman S. , Balagobi B. , Abirame S. , Fishel Laurence , Jeyendran R. S.
Published: January 2024

It is apparent that sperm parameters like concentration, motility and morphology are not definitive/adequate fertility measures as sperm is a heterogeneous mixture, and sperm quality is determined by only what is visible in the microscopic field. Objective was to assess the quality variation among different aliquots of an ejaculate and present a concept that may allow interpreting the results in such a way as to determine the clinical usefulness of the semen analysis more accurately.A laboratory-based cross-sectional study was conducted at Teaching Hospital Jaffna’s Semiology laboratory from July to September 2023 after obtaining Institutional Ethical Review committee approval, analysing 102 semen ejaculates collected through masturbation. The sample was analysed using a Makler counting chamber, and Data was analysed using SPSS version 24, with statistical significance set at P< 0.05.The three different aliquots obtained from the same ejaculate revealed no significant difference from each other for all three variables like Concentration (P=0.957), Progressive Motility (P=0.810) and Motility (P=0.832). Similarly, the mean and fifth percentile plus 95% confidence level were not significantly different (P= 0.782, P= 0.328, P= 0.370).When using the Makler counting chamber, the mean value calculated from one aliquot per ejaculate counted on three strips of ten squares should be acceptable, and at least two different ejaculates should be analysed when interpreting the results based on World Health Organization (WHO, 2021) reference limits.