bluuebunny/crossref_metadata_2025_split huggingface dataset:
(Jewish) Rock Stars in a Jewish Museum: Testing the Grounds for a More Inclusive Exhibition at Beit Hatfusot, Tel Aviv
Authors: Rotem Stephanie Shosh 
Published: November 2024

AbstractThis article discusses three exhibitions that took place between 2016 and the present at Beit Hatfusot – The Museum of the Jewish Diaspora (renamed Anu – Museum of the Jewish People in 2021) in Tel Aviv, Israel, and that portrayed three internationally acclaimed (Jewish) rock stars: Amy Winehouse, Bob Dylan and Leonard Cohen. What motivated the museum to curate these exhibitions that clearly deviate from the museum’s traditional narrative of Jewish history, diasporic communities and the establishment of the State of Israel? The article will claim that this can be answered in light of the museum’s recent renovation and new conceptual approach to the portrayal of Jewish culture and identity. The story told in the original exhibition was that Jewish diaspora emerged as a result of destruction and was redeemed with the re-gathering of the dispersed communities in Israel and the formation of the Jewish State; however, the new permanent exhibition, seeks to represent a more contemporary portrayal of Jewish identity. By showcasing internationally renowned and popular Jewish rock stars, the museum moves away from its former traditional, old-fashioned and stagnated mould to suggest a more inclusive and diverse portrayal of Judaism.
Bharatiya Nyaya Sanhita: Decolonizing Criminal Law or Colonial Continuities?
Authors: Ali S. M. Aamir , Mukhopadhyay Pritha 
Published: November 2024

Abstract
A change is more often than not faced with resistance from thinking minds before it is welcomed. This paper emphasizes the urgent need to scrutinize the proposed changes to the age-old Indian Penal Code to be brought about by the enactment of the new Bharatiya Nyaya Sanhita, 2023 (BNS). It critically evaluates every such new change to resolve all doubts and apprehensions, in delving particularly into the inspection of the BNS, in a theoretical study comparing with the Indian Penal Code. The paper discusses the “legislative intent and colonial continuities”, “anti-democratic tendencies” and “general critiques” addressing the debates over “patriarchal biases, problems laden within a false promise to marriage in the BNS, linguistic imperialist connotations, and the ambiguities over punishments”. This paper aims to evaluate the premise for an overhaul of the existing penal code and to identify and correspond substantial changes suggested in the new act in light of a promised wave of decolonization.
The impact of skill mismatch on unemployment, informality, and labour turnover
Authors: Flórez Luz Adriana , Gómez Leidy 
Published: November 2024

Abstract
The objective of this paper is to analyse the impact of skill mismatch on labour turnover, unemployment, and informality, in the case of Colombia. We study Colombia because it is a developing country with one of the highest levels of unemployment and informality in Latin America, along with very restrictive institutions, such as the minimum wage. We found that skill mismatch can explain the high turnover of workers in the Colombian labour market, evident in the increase in hirings and also in separations. Additionally, we find a positive significant effect of skill mismatch on the levels of informality, but no significant effect on unemployment. This evidence remains even once we consider the role of labour market institutions such as minimum wage and non-wage labour costs.
Finite data rigidity for one-dimensional expanding maps
Authors: O’HARE THOMAS ALOYSIUS 
Published: November 2024

Abstract
Let

$f,g$

be

$C^2$

expanding maps on the circle which are topologically conjugate. We assume that the derivatives of f and g at corresponding periodic points coincide for some large period N. We show that f and g are ‘approximately smoothly conjugate.’ Namely, we construct a

$C^2$

conjugacy

$h_N$

such that

$h_N$

is exponentially close to h in the

$C^0$

topology, and

$f_N:=h_N^{-1}gh_N$

is exponentially close to f in the

$C^1$

topology. Our main tool is a uniform effective version of Bowen’s equidistribution of weighted periodic orbits to the equilibrium state.
“How Our Heritage is Looted”: Legal Meaning-Making, Cultural Property, and Customs Enforcement in Nigeria, 1938–79
Authors: Bos Colin 
Published: November 2024

Abstract
This article sets out to explain why Nigeria was unable to prevent the loss of heritage objects in the 1960s and 1970s. Obvious answers to this question would include the limited enforcement capacity of the African state and the complacency of European and North American art dealers. “How Our Heritage Is Looted” argues, however, that a colonial legal category, namely “antiquity,” played a key role in creating an ineffective enforcement regime for cultural property theft. The mismatch between the ordinary meaning of the term “antiquity,” denoting a remnant of an ancient civilization, and the kinds of modern crafts that the state wanted to protect ultimately resulted in the inability of Nigeria’s colonial preservation statute to convey clear rules to customs officers and museum curators about what exporters could take out of the country. Nigeria’s heritage law thus constituted a project of legal meaning-making whose failure facilitated illicit commerce.
Comparison of four upscaling methods to drive instantaneous evapotranspiration to daily values for maize in two climatic regions in China
Authors: Wang Xuanxuan , Wang Biyu , Yan Haofang , Zhang Chuan , Zheng Hexiang , Wang Guoqing , Zhang Jianyun , Bao Rongxuan , Xue Run , Zhou Yudong , Li Jun , Zhou Rui , He Bin , Hao Beibei , Han Yujing 
Published: November 2024

AbstractAccurately converting satellite instantaneous evapotranspiration (λETi) over time to daily evapotranspiration (λETd) is crucial for estimating regional evapotranspiration from remote sensing satellites, which plays an important role in effective water resource management. In this study, four upscaling methods based on the principle of energy balance, including the evaporative fraction method (Eva-f method), revised evaporative fraction method (R-Eva-f method), crop coefficient method (Kc-ET0 method) and direct canopy resistance method (Direct-rc method), were validated based on the measured data of the Bowen ratio energy balance system (BREB) in maize fields in northwestern (NW) and northeastern (NE) China (semi-arid and semi-humid continental climate regions) from 2021 to 2023. Results indicated that Eva-f and R-Eva-f methods were superior to Kc-ET0 and Direct-rc methods in both climatic regions and performed better between 10:00 and 11:00, with mean absolute errors (MAE) and coefficient of efficiency (ɛ) reaching <10 W/m2 and > 0.91, respectively. Comprehensive evaluation of the optimal upscaling time using global performance indicators (GPI) showed that the Eva-f method had the highest GPI of 0.59 at 12:00 for the NW, while the R-Eva-f method had the highest GPI of 1.18 at 11:00 for the NE. As a result, the Eva-f approach is recommended as the best way for upscaling evapotranspiration in NW, with 12:00 being the ideal upscaling time. The R-Eva-f method is the optimum upscaling method for the Northeast area, with an ideal upscaling time of 11:00. The comprehensive results of this study could be useful for converting λETi to λETd.
Human–African buffalo conflict: perceptions of damage, and mitigation strategies, in villages bordering Ngorongoro Conservation Area, Tanzania
Authors: Hariohay Kwaslema Malle , Marandu Ebenezer B. , Lyimo Emmanuel H. , Bajuta Elibariki S. 
Published: November 2024

Abstract
Human–wildlife conflict is a critical and complex challenge in wildlife conservation. It arises when humans and wildlife interact and one or both parties suffer negative consequences from the interaction. This research assessed the extent of damage resulting from human–African buffalo Syncerus caffer conflict and explored mitigation strategies. We used a semi-structured questionnaire-based survey of 131 households randomly selected in Kambi ya Simba, Oldeani and Tloma villages surrounding Ngorongoro Conservation Area, Tanzania. Our results revealed that resource competition was the main factor inducing human–African buffalo conflict. The impacts reported most frequently were crop damage (especially during the wet seasons) and human casualties. Crops that were most often damaged included maize, beans, wheat, peas and coffee. To minimize buffalo crop depredation, farmers currently use traditional mitigation approaches such as guarding farms, lighting fires, using torchlight and vocal and other auditory deterrents. In addition, a local coffee estate installed electrified fencing around its plantation. Our findings demonstrate the impacts of human–African buffalo conflict on local communities and the importance of continuing human–African buffalo conflict monitoring to improve conservation action and increase the participation of the local community in conservation activities. To minimize human–African buffalo conflict, we recommend conservation strategies that improve the natural habitat of the African buffalo. Most importantly, providing communities affected by human–African buffalo conflict with modern and more effective mitigation methods, paired with increased community awareness of the use of these methods, could result in significant reductions in the human cost of human–African buffalo conflict.
Neural networks empowered: a machine learning-enabled, Gyro mmID for enhanced virtual reality and motion tracking applications
Authors: Joshi Marvin , Lynch Charles A , Adeyeye Ajibayo , Soto-Valle Genaro , Tentzeris Manos M 
Published: November 2024

Abstract
With the emerging developments in millimeter-wave/5G technologies, the potential for wireless Internet of things devices to achieve widespread sensing, precise localization, and high data-rate communication systems becomes increasingly viable. The surge in interest surrounding virtual reality (VR) and augmented reality (AR) technologies is attributed to the vast array of applications they enable, ranging from surgical training to motion capture and daily interactions in VR spaces. To further elevate the user experience, and real-time and accurate orientation detection of the user, the authors proposes the utilization of a frequency-modulated continuous-wave (FMCW) radar system coupled with an ultra-low-power, sticker-like millimeter-wave identification (mmID). The mmID features four backscattering elements, multiplexed in amplitude, frequency, and spatial domains. This design utilizes the training of a supervised learning classification convolutional neural network, enabling accurate real-time three-axis orientation detection of the user. The proposed orientation detection system exhibits exceptional performance, achieving a noteworthy accuracy of 90.58% over three axes at a distance of 8 m. This high accuracy underscores the precision of the orientation detection system, particularly tailored for medium-range VR/AR applications. The integration of the FMCW-based mmID system with machine learning proves to be a promising advancement, contributing to the seamless and immersive interaction within virtual and augmented environments.
Space Weather Forecasts of Ground Level Space Weather in the UK: Evaluating Performance and Limitations
Authors: Smith A. W. , Rae I. J. , Forsyth C. , Coxon J. C. , Walach M.‐T. , Lao C. J. , Bloomfield D. S. , Reddy S. A. , Coughlan M. K. , Keesee A. , Bentley S. 
Published: November 2024

AbstractGeomagnetically Induced Currents (GICs) are a severe space weather hazard, driven through coupling between the solar wind and magnetosphere. GICs are rarely measured directly, instead the ground magnetic field variability is often used as a proxy. Recently space weather models have been developed to forecast whether the magnetic field variability (R) will exceed specific, extreme thresholds. We test an example machine learning‐based model developed for the northern United Kingdom. We evaluate its performance (discriminative skill and calibration) as a function of magnetospheric state, solar wind input and magnetic local time. We find that the model's performance is highest during active conditions, for example, geomagnetic storms, and lowest during isolated substorms and “quiet” intervals, despite these conditions dominating the training data set. Correspondingly, the performance is high when the solar wind conditions are elevated (i.e., high velocity, large total magnetic field strength, and the interplanetary magnetic field oriented southward), and at a minimum when the north‐south component of the magnetic field is highly variable or around zero. Regarding magnetic local time, performance is highest within the dusk and night sectors, and lowest during the day. The model appears to capture multiple modes of magnetospheric activity, including substorms and viscous interactions, but poorly predicts impulsive phenomena (i.e., storm sudden commencements) and longer timescale coupling processes. Future models of mid‐latitude magnetic field variability will need to effectively use longer time intervals of unpropagated (i.e., observations from L1) solar wind to more completely describe the magnetospheric conditions and response.
Fluorescence from a single-molecule probe directly attached to a plasmonic STM tip
Authors: Friedrich Niklas , Rosławska Anna , Arrieta Xabier , Kaiser Katharina , Romeo Michelangelo , Le Moal Eric , Scheurer Fabrice , Aizpurua Javier , Borisov Andrei G. , Neuman Tomáš , Schull Guillaume 
Published: November 2024

AbstractThe scanning tunneling microscope (STM) provides access to atomic-scale properties of a conductive sample. While single-molecule tip functionalization has become a standard procedure, fluorescent molecular probes remained absent from the available tool set. Here, the plasmonic tip of an STM is functionalized with a single fluorescent molecule and is scanned on a plasmonic substrate. The tunneling current flowing through the tip-molecule-substrate junction generates a narrow-line emission of light corresponding to the fluorescence of the negatively charged molecule suspended at the apex of the tip, i.e., the emission of the excited molecular anion. The fluorescence of this molecular probe is recorded for tip-substrate nanocavities featuring different plasmonic resonances, for different tip-substrate distances and applied bias voltages, and on different substrates. We demonstrate that the width of the emission peak can be used as a probe of the exciton-plasmon coupling strength and that the energy of the emitted photons is governed by the molecule interactions with its environment. Additionally, we theoretically elucidate why the direct contact of the suspended molecule with the metallic tip does not totally quench the radiative emission of the molecule.
Monitoring soil salinization and waterlogging in the northeastern Nile Delta linked to shallow saline groundwater and irrigation water quality
Authors: Hagage Mohammed , Abdulaziz Abdulaziz M. , Elbeih Salwa F. , Hewaidy Abdel Galil A. 
Published: November 2024

AbstractSoil salinization and waterlogging are critical environmental issues affecting agricultural productivity and cultural heritage preservation, particularly in arid regions. This study investigated soil degradation processes in the archaeologically and agriculturally significant northeastern Nile Delta of Egypt. The objective was to assess the severity of soil degradation and identify key drivers related to water resources and soil characteristics to aid in the development of management strategies. The research employed a multi-faceted approach, including hydrochemical analyses (of groundwater, irrigation water, and soil), water quality indices calculations, statistical analyses, and satellite data. The results revealed high levels of soil salinization in the northern and central areas, with 64% of soil samples classified as strongly and very strongly saline. Soil chemistry indicated salinization sources linked to sodium chloride dominance. Satellite data from Sentinel-2 images and SRTM digital elevation data showed widespread severe waterlogging in the northern lowlands. The Irrigation Water Quality Index (IWQI) values indicated that 87.5% of irrigation water samples posed severe restrictions due to high salinity and sodium hazards, which were mismatched with the low soil permeability observed in 81% of the collected samples exhibiting clay texture and covering most of the study area. Furthermore, shallow groundwater at depths of 0.5–3 m with high salinity was detected, where total dissolved solids exceeded 20,000 mg/L, and Na-Cl water types prevailed, indicating saltwater intrusion. A strong positive correlation (r > 0.83) was found between shallow saline groundwater and soil salinity. The combination of poor irrigation water quality, shallow saline groundwater tables, and low-permeability soils created a synergistic effect that severely compromised soil health and agricultural productivity. It also posed severe risks to the structural integrity of archaeological sites and buried artifacts through accelerated physical and chemical weathering processes. This necessitates an urgent mitigation strategy to combat soil degradation in this critical area.
A deep learning model of dorsal and ventral visual streams for DVSD
Authors: Zareh Masoumeh , Toulabinejad Elaheh , Manshaei Mohammad Hossein , Zahabi Sayed Jalal 
Published: November 2024

AbstractArtificial intelligence (AI) methods attempt to simulate the behavior and the neural activity of the brain. In particular, Convolutional Neural Networks (CNNs) offer state-of-the-art models of the ventral visual stream. Furthermore, no proposed model estimates the distance between objects as a function of the dorsal stream. In this paper, we present a quantitatively accurate model for the visual system. Specifically, we propose a VeDo-Net model that comprises both ventral and dorsal branches. As in the ventral visual stream, our model recognizes objects. The model also locates and estimates the distance between objects as a spatial relationship task performed by the dorsal stream. One application of the proposed model is in the simulation of visual impairments. In this study, however, we show how the proposed model can simulate the occurrence of dorsal stream impairments such as Autism Spectrum Disorder (ASD) and cerebral visual impairment (CVI). In the end, we explore the impacts of learning on the recovery of the synaptic disruptions of the dorsal visual stream. Results indicated a direct relationship between the positive and negative changes in the weights of the dorsal stream’s last layers and the output of the dorsal stream under an allocentric situation. Our results also demonstrate that visual–spatial perception impairments in ASD may be caused by a disturbance in the last layers of the dorsal stream.
Non-Adhärenz und ärztliche Trägheit in der Behandlung der ­arteriellen Hypertonie
Authors: van der Giet Markus 
Published: November 2024

ZUSAMMENFASSUNGBluthochdruck ist die am häufigsten vorkommende nichtübertragbare Krankheit mit einem hohen Potenzial für die Entstehung von kardiorenovaskulären Endorganschäden. Immer noch werden zu wenige Patienten mit Hypertonie erkannt und nur etwas weniger als die Hälfte aller Erkrankten mit Bluthochdruck werden erfolgreich behandelt. Die mangelnde effektive Behandlung der Hypertonie verursacht jährlich viele Todesfälle, die verhindert werden könnten. 2 Faktoren für das mangelnde Erkennen des Bluthochdrucks und auch die Verhinderung von langfristigen Schäden sind die ärztliche Trägheit und die Non-Adhärenz der Patienten. Die ärztliche Trägheit führt nicht selten dazu, dass eine Hypertonie nicht unzureichend erkannt wird und folglich nicht nachhaltig therapiert wird. Die Non-Adhärenz ist ein multidimensionales Problem, bedingt durch simple Vergesslichkeit der Patienten bis hin zu einem aktiven Vermeiden von einer Therapie durch den Erkrankten. Die Ursachen und auch Lösungsstrategien werden in diesem Beitrag diskutiert.
Pancreatic Duct Stenting: Does Interventional Radiology Have a Role?
Authors: Veluri Shriya L. , Arar Ahmad , Pillai Akhilesh , Chamarthy Gautam , Tielleman Thomas , Pillai Anil K. 
Published: November 2024

AbstractPancreatic duct stenting involves the placement of a stent into the pancreatic duct to restore drainage and flow of pancreatic secretions. It relieves upstream duct dilation, facilitates drainage of pancreatic secretions, and alleviates associated symptoms like pain, nausea, malnutrition, and recurrent pancreatitis. Additionally, it is utilized to treat a variety of pancreatic duct pathologies, including obstructions from conditions like chronic pancreatitis, malignancy, and pancreatic leaks. Depending on the clinical scenario, different types of stents can be placed using endoscopic, percutaneous, or surgical approaches. Endoscopic approaches, such as endoscopic retrograde cholangiopancreatography and endoscopic ultrasound-guided stenting, are often considered first-line procedures for managing pancreatic duct pathologies. However, in cases where these procedures fail, interventional radiology (IR) becomes crucial in managing these conditions, providing a safe and minimally invasive alternative that effectively addresses the underlying issues. This review aims to discuss the clinical, radiological, and technical considerations for pancreatic duct stenting and specifically highlight the role of IR in managing various pancreatic duct pathologies.