bluuebunny/crossref_metadata_2025 huggingface dataset:
Detection of Pairwise Kinetic Sunyaev–Zel’dovich Effect with DESI Galaxy Groups and Planck in Fourier Space
Authors: Li Shaohong , Zheng Yi , Chen Ziyang , Xu Haojie , Yang Xiaohu
Published: March 2024

We report a ∼5.2σ detection of the kinetic Sunyaev–Zel’dovich (kSZ) effect in Fourier space, by combining the DESI galaxy groups and the Planck data. We use the density-weighted pairwise kSZ power spectrum as the summary statistic, and the detailed procedure of its measurement is presented in this paper. Meanwhile, we analyze the redshift space group density power spectrum to constrain its bias parameters and photo-z uncertainties. These best-fitted parameters are substituted to a nonlinear kSZ model, and we fit the measured kSZ power spectrum with this model to constrain the group optical depth

τ

¯

. Selected by a varying lower mass threshold M
th, the galaxy group catalogs with different median masses (

M

˜

) are constructed from the Data Release 9 data of the DESI Legacy Imaging Surveys.

M

˜

spans a wide range of ∼1013–1014
M
⊙/h and the heaviest

M
˜

∼

10
14

 

M
⊙

/
h

is larger than those of most other kSZ detections. When the aperture photometric filter radius θ
AP is set to be 4.′2, the

M
˜

=
1.75
×

10
13

 

M
⊙

/
h

group sample at the median redshift

z

˜

=
0.64

has the highest kSZ detection signal-to-noise ratio = 5.2. By fitting

τ

¯

s

from various samples against their

M

˜

s, we obtain a linear

log

τ

¯

−
log

M

˜

relation:

log

τ

¯

=
γ
(
log

M

˜

−
14
)
+
log
β

, in which γ = 0.55 ± 0.1. We also vary the aperture photometric filter radius and measure the

τ

¯

profiles of group samples, whose constraints on the baryon distribution within and around dark matter halos will be discussed in a companion paper.
Image Synthesis for Solar Flare Prediction
Authors: Amar Elad , Ben-Shahar Ohad
Published: March 2024

Solar flare prediction is a topic of interest to many researchers owing to the potential of solar flares to affect various technological systems, both terrestrial and in orbit. In recent years, the forecasting task has become progressively more reliant on data-driven computations and machine-learning algorithms. Although these efforts have improved solar flare predictions, they still falter in doing so for large solar flares, in particular under operational conditions, since large-flare data are very scarce and labeled data are heavily imbalanced. In this work, we seek to address this fundamental issue and present a scheme for generating synthetic magnetograms to reduce the imbalance in the data. Our method consists of (1) synthetic oversampling of line-of-sight magnetograms using Gaussian mixture model representation, followed by (2) a global optimization technique to ensure consistency of both physical features and flare precursors, and (3) the mapping of the generated representations to realistic magnetogram images using deep generative models. We show that these synthetically generated data indeed improve the capacity of solar flare prediction models and that, when tested on such a state-of-the-art model, it significantly enhances its forecasting performance, achieving an F1-score as high as 0.43 ± 0.08 and a true skill statistic of 0.64 ± 0.10 for X-class flares in the 24 hr operational solar flare data split.
Observational Properties of 155 β Cephei Pulsating Variable Stars
Authors: Shi Xiang-dong , Qian Sheng-bang , Zhu Li-ying , Li Lin-jia , Zhao Er-gang , Lin Wen-xu
Published: March 2024

β Cephei pulsating variable (BCEP) stars are the most massive pulsating variable stars in the main sequence, exhibiting both p- and g-mode pulsations. In this study, we identified 155 BCEP stars or candidates using data from TESS and Gaia, of which 83 were first confirmed as BCEP stars. They have visual magnitudes ranging from 8 to 12 mag and effective temperatures between approximately 20,000 and 30,000 K, while the parallaxes of most targets are between 0.2 and 0.6 mas. The study indicates that these BCEP stars have pulsation periods ranging from 0.06 to 0.31 days, with amplitudes ranging from 0.1 to 55.8 mmag in the TESS band. Additionally, the number of BCEP stars increases as the pulsation amplitude decreases. These targets align with the distribution region of BCEP stars in the luminosity–period (L–P) and temperature–period diagrams. We have updated the L–P relation of BCEP stars. The Hertzsprung–Russell diagram indicates that these targets are in the main-sequence evolutionary phase, with masses ranging from 7 to 20 M
⊙ and luminosities between 2800 and 71,000 L
⊙. They are almost in the theoretical instability region of BCEP stars but as previously reported, this region at the low-mass end (red) is not filled. The distribution of the pulsation constant indicates that the dominant pulsation periods of BCEP stars consist mainly of low-order p-mode pulsations with a high proportion of radial fundamental modes. These BCEP stars are excellent objects for enhancing our understanding of the structure and evolution of massive stars through asteroseismology.
Imaging Spectropolarimetry—A New Observing Mode on the Hubble Space Telescope’s Advanced Camera for Surveys
Authors: Hathi Nimish P. , Hines Dean C. , Cohen Yotam , Grogin Norman A. , Chiaberge Marco
Published: March 2024

Imaging spectropolarimetry is a new observing mode on the Advanced Camera for Surveys (ACS) aboard the Hubble Space Telescope (HST) that was commissioned in Cycle 30 and is available to HST observers starting in Cycle 31 (i.e., from 2023). It is a technique that is accessible from ground-based observatories, but the superb spatial resolution afforded by HST/ACS combined with the slitless nature of HST/ACS grism spectroscopy opens up the possibility of studying polarized extended emission in a way that is not currently possible even with Adaptive Optics facilities on the ground. This mode could help to study interesting targets including (but not limited to) QSOs, active galactic nucleus and Radio Galaxies, ISM Dust Properties, Pre-Planetary Nebulae, Proto-Planetary and Debris Disks, Supernovae/Supernova Remnants, and solar system objects. This research note presents the preliminary results from the calibration programs used to calibrate imaging spectropolarimetry on HST/ACS.
Scientific Impact of Novel Instrumentation: The Case of MUSE
Authors: Roth Martin M.
Published: March 2024

In the process of transforming science cases into a viable and affordable design for a novel instrument, there is the problem of how to gauge their scientific impact, especially when they end up in competing top level requirements that can be incompatible with each other. This research note presents a case study for scientific impact of the integral field spectrograph MUSE in terms of number of refereed publications from 2014 to 2024 as a figure of merit, broken down by different research areas. The analysis is based on the Basic ESO Publication Statistics service and NASA's Astrophysics Data System.
A Possible Meteoric Fall in Cabeza la Vaca (Spain) in 1970 January
Authors: Vaquero J. M. , Sánchez Romero C. , Díaz-Condiño L. , Gallego M. C.
Published: March 2024

We recover a report in the “HOY” regional newspaper about a presumed meteorite fall near Cabeza la Vaca, Spain. The report details observable effects like a crater, uprooted tree, and a destroyed fence. While the exact date is unknown, it likely occurred within a week of 1970 January 27. The report lacks the crater size specification. This research note underscores the potential significance of the reported meteorite fall, encouraging further investigation.
Curating an online checklist for Erica L. (Ericaceae): contributing to and supporting global conservation through the World Flora Online
Authors: Elliott Alan , Bester Stoffel P. , Klopper Ronell R. , Nelson E. Charles , Pirie Michael
Published: March 2024

To support the work of the Global Conservation Consortium for Erica and update the Erica checklist in the World Flora Online (WFO), we have curated the taxonomic backbone in the WFO by expanding it to include updated nomenclatural information from IPNI, missing names present in WCVP, BODATSA, and from the International register of heather names database, a data source not readily available online. We also comment on the correct orthography of Erica heleophila Guthrie & Bolus and Erica michellensis Dulfer, the validity of Erica tegetiformis E.G.H.Oliv., and clarify the use of Erica adunca Benth. for a South African species rather than Erica triceps Link, which is here regarded as insufficiently known and of uncertain application.
From caves to continents: phylogeography and niche shift of an invasive subterranean spider
Authors: Ballarin Francesco , Zhang Zhixin , Li Shuqiang , Mammola Stefano
Published: March 2024

Invasive non-native species are recognized as a serious threat to the native biodiversity of the areas they colonize. The subterranean spider Howaia mogera (Yaginuma 1972) (syn. Nesticella mogera) is considered a highly invasive non-native species rapidly expanding its geographical range from Asia across the European continent and to remote oceanic islands. Due to its preference for moist, dark, and climatically stable habitats, including caves, this spider represents a potential threat to the endemic fauna living in the forest litter and subterranean environments. Nevertheless, the origin, biogeography, patterns of colonization, and niche preference of H. mogera remain unexplored. In this study, we reconstructed the phylogeography of the species combining a multi-locus phylogenetic analysis and a niche modeling approach. Our results confirm the center of origin of H. mogera in southern China, from where the species naturally spread and diversified in eastern Asia during the Pleistocene Epoch. Its expansion into non-native areas occurred only recently, possibly as a consequence of human-mediated passive transportation and in conjunction with a shift in the habitat preference of the species. Non-native populations have shifted from an original preference for a subterranean lifestyle to more generalist conditions. This change has allowed them to exploit a wider breadth of habitats and has facilitated their expansion in Europe and remote oceanic islands. Yet, the retention of the original subterranean habitat preferences in these non-native populations poses a conservation threat to specialized and fragile subterranean ecosystems, which H. mogera can efficiently exploit in invaded areas. Our study underscores the importance of comprehending phylogeography and niche dynamics in invasive non-native species to predict and manage their future expansions. We further highlight the urgency of monitoring H. mogera's spread worldwide, particularly in Southern Europe, to protect fragile invaded ecosystems.
Immune Checkpoint Inhibitor–Associated Remitting Seronegative Symmetrical Synovitis With Pitting Edema: Description of a New Entity by CanRIO
Authors: Rouhi Azin , Jamal Shahin , Arreola Lourdes Gonzales , Moon David , Hudson Marie , Roberts Janet , Ladouceur Alexandra , Ye Carrie
Published: March 2024

Objective

Remitting seronegative symmetrical synovitis with pitting edema (RS3PE) is characterized by symmetrical synovitis with pitting edema and negative rheumatoid factor (RF). It has been described in a setting of malignancy, suggesting a paraneoplastic association. With the increasing use of immune checkpoint inhibitors (ICIs) for the treatment of cancers and emergence of immune-related adverse events (irAEs), our objective was to identify and describe cases of ICI-associated RS3PE (ICI-RS3PE) and compare them to non–ICI-RS3PE.

Methods

The Canadian Research Group of Rheumatology in Immuno-Oncology (CanRIO) network is a collaboration of Canadian rheumatologists with experience in the management of patients with rheumatic irAEs (Rh-irAEs). Standardized data on adult patients with Rh-irAE have been collected as part of retrospective and prospective cohorts. In this study, detailed information on all cases of ICI-RS3PE from both cohorts were extracted and analyzed.

Results

We identified 11 cases of ICI-RS3PE. The most frequently observed malignancy was nonsmall cell lung cancer (4 of 11), followed by malignant melanoma (2 of 11) and cutaneous squamous cell carcinoma (2 of 11). The median time to onset of ICI-RS3PE was 26 weeks from ICI start and 52 weeks from diagnosis of malignancy. Seven patients had stable cancer prior to onset of ICI-RS3PE, 3 had partial response, and 1 had complete response. All patients received glucocorticoids. Conventional synthetic disease-modifying antirheumatic drugs (csDMARD) were needed in 10 patients.

Conclusion

ICI-RS3PE may be an independent Rh-irAE, separate from paraneoplastic RS3PE. The symptoms of ICI-RS3PE responded well to glucocorticoids, but concomitant treatment with csDMARDs may be necessary.
Quality and Characteristics of Pediatric Rheumatology Content on Social Media: Toward a New Era of Education for Patients and Caregivers?
Authors: La Bella Saverio , Di Ludovico Armando , Mainieri Francesca , Lauriola Federico , Silvestrini Luisa , Ciarelli Francesca , Di Donato Giulia , Chiarelli Francesco , Attanasi Marina , Breda Luciana
Published: March 2024

Social media platforms are an extremely common form of online interaction, with more than 4.5 billion users worldwide in 2022. According to Statista.com, there is a significant expectation that this usage will exceed 6 billion by the year 2027.
The $ m $-weak group inverse for rectangular matrices
Authors: Mosić D. , Stanimirović P. S. , Kazakovtsev L. A.
Published: March 2024

An extension of the $ m $-weak group inverse (or $ m $-WGI) on the set of rectangular matrices is provided to solve some systems of matrix equations. The extension is termed as the $ W $-weighted $ m $-WGI (or $ W $-$ m $-WGI). The $ W $-$ m $-WGI presents a new, wider class of generalized inverses which involves some already defined generalized inverses, such as the $ m $-WGI, $ W $-weighted weak group, and $ W $-weighted Drazin inverse. Basic properties and diverse characterizations are proved for $ W $-$ m $-WGI. Several expressions for computing $ W $-$ m $-WGI are proposed in terms of known generalized inverses and projectors, as well as its limit and integral representations. The $ W $-$ m $-WGI class is utilized to solve some linear matrix equations and express their general solutions. Some new properties of the weighted generalized group inverse and recognized properties of the $ W $-weighted Drazin inverse are obtained as corollaries. Numerical and symbolic test examples are presented to verify the obtained results.
Design and dynamical behavior of a fourth order family of iterative methods for solving nonlinear equations
Authors: Cordero Alicia , Ledesma Arleen , Maimó Javier G. , Torregrosa Juan R.
Published: March 2024

In this paper, a new fourth-order family of iterative schemes for solving nonlinear equations has been proposed. This class is parameter-dependent and its numerical performance depends on the value of this free parameter. For studying the stability of this class, the rational function resulting from applying the iterative expression to a low degree polynomial was analyzed. The dynamics of this rational function allowed us to better understand the performance of the iterative methods of the class. In addition, the critical points have been calculated and the parameter spaces and dynamical planes have been presented, in order to determine the regions with stable and unstable behavior. Finally, some parameter values within and outside the stability region were chosen. The performance of these methods in the numerical section have confirmed not only the theoretical order of convergence, but also their stability. Therefore, the robustness and wideness of the attraction basins have been deduced from these numerical tests, as well as comparisons with other existing methods of the same order of convergence.
A novel unemployment rate forecasting method based on fuzzy information granules and GM(1,1) model
Authors: Yang Hong , Liu Jiangli
Published: March 2024

Granular computing is a novel method to solve complex tasks in the context of big data by simulating human problem-solving thinking, abstracting complex problems and dividing them into several simpler problems (i.e., granulation), which helps to better analyze and solve problems. In order to improve the accuracy of forecasting unemployment rates, this paper introduces the granulation idea of granular computing into the time series analysis of unemployment rates. Therefore, a novel method based on fuzzy information granules (FIGs) and grey system theory, namely FIG-GM(1,1) model, is proposed. This method not only reduces the dimensionality of the problem and computational complexity but also effectively reduces cumulative errors. In empirical analysis, three different performance indicators, mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean squared error (RMSE), and seven comparative models are used to evaluate the forecasting performance of our proposed model. The empirical results indicate that the MAE, MAPE, and RMSE values of the FIG-GM(1,1) model are significantly lower than those of other models, indicating that the FIG-GM(1,1) model has better forecasting performance compared to other models.
An analytical approach of multi-dimensional Navier-Stokes equation in the framework of natural transform
Authors: Singh Manoj , Hussein Ahmed , Msmali  , Tamsir Mohammad , Ahmadini Abdullah Ali H.
Published: March 2024

This article introduces a new iterative transform method and homotopy perturbation transform method along with a natural transform to analyze the multi-dimensional Navier-Stokes equations. To solve the fractional-derivative, the Caputo-Fabrizio definition of the fractional derivative was employed. Four examples were considered to examine the efficacy and accuracy of the proposed methods. The efficiency and accuracy were also demonstrated by the solution comparison via graphs. The proposed methods' convergence and uniqueness are also discussed. The methods mentioned above are straightforward and support a high rate of convergence.
EAMR-Net: A multiscale effective spatial and cross-channel attention network for retinal vessel segmentation
Authors: Prethija G. , Katiravan Jeevaa
Published: March 2024

Delineation of retinal vessels in fundus images is essential for detecting a range of eye disorders. An automated technique for vessel segmentation can assist clinicians and enhance the efficiency of the diagnostic process. Traditional methods fail to extract multiscale information, discard unnecessary information, and delineate thin vessels. In this paper, a novel residual U-Net architecture that incorporates multi-scale feature learning and effective attention is proposed to delineate the retinal vessels precisely. Since drop block regularization performs better than drop out in preventing overfitting, drop block was used in this study. A multi-scale feature learning module was added instead of a skip connection to learn multi-scale features. A novel effective attention block was proposed and integrated with the decoder block to obtain precise spatial and channel information. Experimental findings indicated that the proposed model exhibited outstanding performance in retinal vessel delineation. The sensitivities achieved for DRIVE, STARE, and CHASE_DB datasets were 0.8293, 0.8151 and 0.8084, respectively.
HRGCNLDA: Forecasting of lncRNA-disease association based on hierarchical refinement graph convolutional neural network
Authors: Peng Li , Yang Yujie , Yang Cheng , Li Zejun , Cheong Ngai
Published: March 2024

Long non-coding RNA (lncRNA) is considered to be a crucial regulator involved in various human biological processes, including the regulation of tumor immune checkpoint proteins. It has great potential as both a cancer biomolecular biomarker and therapeutic target. Nevertheless, conventional biological experimental techniques are both resource-intensive and laborious, making it essential to develop an accurate and efficient computational method to facilitate the discovery of potential links between lncRNAs and diseases. In this study, we proposed HRGCNLDA, a computational approach utilizing hierarchical refinement of graph convolutional neural networks for forecasting lncRNA-disease potential associations. This approach effectively addresses the over-smoothing problem that arises from stacking multiple layers of graph convolutional neural networks. Specifically, HRGCNLDA enhances the layer representation during message propagation and node updates, thereby amplifying the contribution of hidden layers that resemble the ego layer while reducing discrepancies. The results of the experiments showed that HRGCNLDA achieved the highest AUC-ROC (area under the receiver operating characteristic curve, AUC for short) and AUC-PR (area under the precision versus recall curve, AUPR for short) values compared to other methods. Finally, to further demonstrate the reliability and efficacy of our approach, we performed case studies on the case of three prevalent human diseases, namely, breast cancer, lung cancer and gastric cancer.
Few-shot bearing fault detection based on multi-dimensional convolution and attention mechanism
Authors: Xu Yingying , Song Chunhe , Wang Chu
Published: March 2024

Bearings are critical components of industrial equipment and have a significant impact on the safety of industrial physical systems. Their failure may lead to equipment shutdown and accidents, posing a significant risk to production safety. However, it is difficult to obtain a large amount of bearing fault data in practice, which makes the problem of small sample size a major challenge for bearing fault detection. In addition, some methods may overlook important features in bearing vibration signals, leading to insufficient detection capabilities. To address the challenges in bearing fault detection, this paper proposed a few sample learning methods based on the multidimensional convolution and attention mechanism. First, a multichannel preprocessing method was designed to more effectively utilize the information in the bearing vibration signal. Second, by extracting multidimensional features and enhancing the attention to important features through multidimensional convolution operations and attention mechanisms, the feature extraction ability of the network was improved. Furthermore, nonlinear mapping of feature vectors into the metric space to calculate distance can better measure the similarity between samples, thereby improving the accuracy of bearing fault detection and providing important guarantees for the safe operation of industrial systems. Extensive experiments have shown that the proposed method has good fault detection performance under small sample conditions, which is beneficial for reducing machine downtime and economic losses.
A leader-following consensus of multi-agent systems with actuator saturation and semi-Markov switching topologies
Authors: Dai Jiangtao , Guo Ge
Published: March 2024

The leader-following consensus (LFC) issue is investigated in this paper for multi-agent systems (MASs) subject to actuator saturation with semi-Markov switching topologies (SMST). A new consensus protocol is proposed by using a semi-Markov process to model the switching of network topologies. Compared to the traditional Markov switching topologies, the SMST is more general and practical because the transition rates are time-varying. By using the local sector conditions and a suitable Lyapunov-Krasovskii functional, some sufficient conditions are proposed such that the leaderfollowing mean-square consensus is locally achieved. Based on the derived sufficient conditions, an optimization problem is analyzed to determine the consensus feedback gains and to find a maximal estimate of the domain of consensus attraction (DOCA) of a closed-loop model. At the end, a numerical case is presented to verify the performance of the design method.
« Retrancher les fêtes pour les nègres seulement ». La réduction des fêtes religieuses dans la Caraïbe française au xviiie siècle, une mise à l’écart des chrétiens non blancs
Authors: de Gavriloff Domitille
Published: March 2024

À partir des mesures portant suppression d’un grand nombre de jours de fêtes religieuses dès les premières décennies du xviiie siècle dans les colonies de la Caraïbe française, cette contribution s’intéresse à la façon dont le contexte esclavagiste reconfigure les pratiques de ces sociétés catholiques. Si ces suppressions touchent également la métropole, elles visent, dans les colonies, à consolider un système esclavagiste fragilisé par l’insertion des esclaves dans la communauté catholique. Cet article retrace la genèse de ces mesures et met en lumière la collaboration des autorités missionnaires et coloniales pour le maintien de l’ordre socio-racial. Réservée dans un premier temps aux chrétiens non blancs et sanctionnant un recul de l’intégration religieuse des esclaves, cette évolution participe du processus de racialisation de ces sociétés esclavagistes. Cette étude de cas offre dès lors un contrepoint à la thèse formulée par Frank Tannenbaum selon laquelle l’Église catholique aurait contribué à adoucir les conditions de vie des esclaves.
Construire une institution coloniale. La milice en Guyane et les Amériques françaises au xviiie siècle
Authors: Forestier Anna
Published: March 2024

Au xviiie siècle, près d’un siècle après les autres colonies, la milice de Guyane se construit sous l’influence des modèles américains antérieurs. Cependant, l’appareil législatif reproduisant celui d’espaces insulaires, qui s’avèrent plus largement et anciennement peuplés, demande des aménagements. La milice guyanaise peine à s’enraciner durant la première partie du xviiie siècle, et s’établit ensuite plus solidement entre spécificités locales et harmonisation avec les autres colonies, notamment avec l’intégration des libres de couleur. L’influence des territoires français d’Amérique est perceptible aussi dans son encadrement. L’étude de ses officiers, issus des Antilles, de Nouvelle-France ou encore d’Acadie met en effet en évidence le poids des circulations entre les Amériques françaises dans l’institution et la société guyanaise.
Contribution aux recherches sur le jardin moderne en Espagne
Authors: Bercovitz Rémy
Published: March 2024

Traduits pour la première fois en français, les quatre textes dont nous proposons ici une édition critique sont ceux d’un des plus important paysagiste et créateur de jardin dans l’Espagne du début du XXe siècle. Ces textes ont été choisis car ils sont représentatifs de la pensée paysagère de Javier de Winthuysen. A travers l’édition critique de ces textes, il s’agit de fournir des matériaux de recherche à un champ d’investigation en plein développement : celui sur l’histoire de l’art des jardins au début du XXe siècle et son rapport à la modernité.
Le « mythe bédouin » revisité. Les femmes nomades au miroir des voyageurs en Orient, de Volney à Lamartine
Authors: Moussa Sarga
Published: March 2024

Le « mythe bédouin », qui repose sur la figure idéalisée des Arabes nomades (porteurs des valeurs de liberté, de simplicité, de pureté, etc.), notamment chez les écrivains voyageurs en Orient, de la fin du xviiie siècle au milieu du xixe siècle, est essentiellement masculin. Pourtant, les femmes y sont représentées, bien qu’avec une quasi-éclipse chez Chateaubriand. Objets du désir dans des « contes » récités au désert chez Volney (éloge de la jeune beauté nomade par l’amant « martyr »), elles apparaissent en outre, chez Lamartine, à travers les poèmes d’Antar et le « Journal de Fatalla Sayeghir » traduits dans son Voyage en Orient (1835), comme des sujets actifs, capables, parfois, de combattre à l’égal des hommes, voire présentées comme supérieures à lui intellectuellement, donnant ainsi une autre image du « mythe bédouin ».
Un couple de voyageuses au Sahara à l’époque coloniale : Odette du Puigaudeau (1894-1991) et Marion Sénones (1886-1977)
Authors: Ueckmann Natascha
Published: March 2024

Odette du Puigaudeau a entrepris entre les deux guerres, puis après la Seconde Guerre mondiale, plusieurs grands voyages en Mauritanie (mais aussi au Sénégal, au Mali et au Maroc) avec sa compagne Marion Sénones. Fait inhabituel, il s’agit d’un couple de femmes qui voyageait à l’époque coloniale. L’article vise à dessiner les contours d’une littérature saharienne dans le contexte des questions féministes et écocritiques. D’une part, les écrits de Puigaudeau comportent une fonction mémorielle. D’autre part, dans ses premiers textes, on décèle une attitude favorable à la « pacification » coloniale. Ce n’est que dans ses écrits plus tardifs qu’elle s’engage contre l’exploitation du désert comme espace d’industrialisation et d’expérimentation nucléaire.
Un regard « arabe » sur les femmes touarègues : Le « Voyage à R’at » d’Ismaël Bouderba
Authors: Bodiot Adrien
Published: March 2024

Explorateur de Ghat, dans l’actuelle Libye, en 1858, Ismaël Bouderba (1823-1878), fils d’une mère marseillaise et d’un père algérois, publie le récit de son voyage dans la Revue algérienne et coloniale, sous le titre de « Voyage à R’at » (1859). Cette voix atypique de la littérature de voyage en français préfigure les travaux d’Henri Duveyrier sur les Touaregs. Mais, là où ce dernier élabore un stéréotype mélioratif, louant les Touaregs pour mieux décrier les Arabes, Bouderba propose la relation strictement inverse. Ce faisant, les rencontres avec les Touaregs lui permettent de faire émerger son propre point de vue de voyageur « arabe ». L’émergence de ce point de vue n’est rendue possible, dans le récit, qu’au prisme de rencontres avec des femmes, qui permettent à l’explorateur de se révéler.
La jouissance de la liberté et du pouvoir des femmes : Sur les traces d’Isabelle Eberhardt dans Le Siècle des Sauterelles (1992) de Malika Mokeddem
Authors: Zarzi Amina
Published: March 2024

Cet article met en évidence l’apparition de la figure voyageuse d’Isabelle Eberhardt dans Le Siècle des sauterelles (1992) de Malika Mokeddem, en même temps que le regard que porte cette dernière sur la place de la femme dans le désert algérien et la façon dont elle négocie la liberté de ses héroïnes à travers le personnage non conformiste d’Isabelle Eberhardt. Cette étude montre comment Mokeddem est entrée en dialogue avec Eberhardt pour sauver ses héroïnes du régime patriarcal et donner sens à leur religion musulmane et à leur nomadisme. Si le Sahara algérien a été l’espace de prédilection d’Eberhardt, où son identité a pu se déployer, il ne l’est pas moins pour les héroïnes de Mokeddem. Ses textes nous permettent de conclure que l’expérience du désert, appréciée par les touristes et les voyageurs, n’est pas forcément bénéfique aux femmes autochtones, qui subissent un confinement traditionnel, au milieu d’espaces censés être immenses et libérateurs.
Panoramas d’Orient : Évolutions d’une technique dans le récit viatique romantique
Authors: Bornancin-Tomasella Gabrielle
Published: March 2024

Jusqu’au milieu du xixe siècle, les récits de voyage en Orient ont entretenu avec le tout nouveau spectacle optique du Panorama une rivalité latente. Les écrivains-voyageurs de la période romantique, engageant avec les techniques picturales du Panorama un dialogue anxieux et fécond, semblent avoir progressivement ressaisi au sein même de cette concurrence la nécessité propre du genre viatique. Si Chateaubriand s’avouait trompé par le Panorama de Jérusalem de Pierre Prévost au point d’en oublier la différence des supports littéraire et pictural, ses successeurs (Lamartine et Nerval sont étudiés ici) réaffirment au contraire implicitement de plus en plus fermement les privilèges de la littérature, qui dit mieux, et plus, que le Panorama ne pourra jamais révéler.
De Ceylan à l’Écosse : le « Voyage dans les Lowlands » de Nicolas Bouvier, ou l’art de rapprocher les cultures
Authors: Bischoff Liouba
Published: March 2024

Dans les années quatre-vingt, Nicolas Bouvier ne se rend plus seulement à l’est, où il a découvert des cultures millénaires, mais également en Irlande et en Écosse. Le « Voyage dans les Lowlands », moins connu que le Journal d’Aran, inverse malicieusement le rapport entre l’âge du voyageur et celui des pays parcourus : après être allé voir « les vieux », Bouvier se tourne vers « les jeunes » pour retrouver un peu de fraîcheur, mais il ne conçoit pas ces expériences comme séparées. Le décentrement spatial prend la forme d’un recentrement intime : Bouvier orientalise l’Écosse, un pays dont il ne sait presque rien au départ, mais qui rejoint peu à peu sa vision de l’histoire et de la mosaïque des cultures, où tous les rapprochements sont bons pour recréer la sphère harmonique de la création.
Organizational Elements to Confront Turbulent and Fragile VUCA to BANI Scenarios
Authors: del Pilar Barrera-Ortegon Andrea , Medina-Ricaurte German Fernando , Jimenez-Hernandez Pedro Rene
Published: March 2024

This chapter delves into organizational adaptability within BANI scenarios, stemming from volatile, uncertain, and fragile contexts. It explores essential capabilities—both ordinary and dynamic—critical for fostering innovation in dynamic markets. By emphasizing antifragility, resilience, and robustness as responses to disruptions, it underscores the importance of key soft skills and management components. Resilience, robustness, and antifragility are presented as sequential responses to disruptive events. Its objectives encompass highlighting the shift from VUCA to BANI scenarios, examining environmental trends and degradation, analyzing disruptive events shaping fragility, and crafting efficient tools for navigating turbulent scenarios. The chapter emphasizes the significance of vital soft skills and management elements in facilitating organizational adaptation.
Navigating Unfamiliar Terrain to J.D./Ph.D.
Authors: Walker Christina S.
Published: March 2024

Nontraditional and underrepresented students face immense stressors in their pursuit of higher education. Their ability to fully realize their potential and capability to pursue higher education may be inhibited simply by the ways they've learned to perceive the world and themselves during childhood. These students' paths to attaining higher education are often more arduous as they counter unique and separate obstacles than their more privileged peers. Such challenges may include being the first in their families to pursue higher education or having little experience navigating higher education, being of lower socioeconomic status, balancing familial and work roles and obligations, and experiencing ostracism and invisibility. From poverty to military service, to stumbling blocks, to achieving undergraduate and graduate education, this chapter details a student's unconventional and arduous journey to attaining higher education and her successful pursuit of two doctoral degrees. The hope is that students experiencing similar struggles may be empowered.
Materials for Phase Change Heat Storage in Scheffler Reflectors
Authors: Pramanik Sabyasachi
Published: March 2024

In order for humans to meet their fundamental needs, energy is required. The main sources of natural energy are carbon-based fuels such as biomass and fossil fuels. These fuels made of carbon are scarce and harmful to the environment. Innovative clean and environmentally friendly energy solutions are desperately needed. Particularly in light of the global issues posed by population expansion, the environment, and economic growth, solar energy may be a workable alternative for sustainable development. The Scheffler is a unique kind of solar concentrator that can quickly attain a high temperature. By adding a heat storage unit, Scheffler's capacity to retain heat may be greatly boosted. This study compares the thermal and physical properties, such as density, thermal conductivity, and melting point, of various thermal storage materials that are used to store heat energy for a longer amount of time, such as bricks, concrete, water, phase change material (PCM), latent heat storage material (LHS), aluminum, iron, molten salts, silicon, etc.
Nanowires for Bio-Sensing Applications
Authors: Jain Nipun , Barua Ranjit , Waidi Yusuf Olatunji , Datta Sudipto
Published: March 2024

Nanomaterials like nanowires, carbon nanotubes, quantum dots, and nanoparticles have breakthrough applications in various engineering domains including the various sensor applications in biomedical engineering. Because of its huge ratio of surface area to volume compared to the macro materials, it is widely used. In this chapter, the authors describe briefly the fabrication, the working principle, as well as the various applications like biomarker detection, RNA and virus detection, and drug discovery of these nanomaterials. Lastly, they briefly highlight its advancement which includes long-term stability, high ionic strength solvent, sensitivity, reusability, and self-powering. Nanowire is going to bring huge innovations in biomedical sensors in the upcoming days.
Navigating the Transformative Journey
Authors: Swapna H. R. , Geetanjali S. , Lakshmi K. V. N. , Paramashivan Mukundan Appadurai , Nikhil M. S. , Dadheech Pankaj , Vyas Vikas
Published: March 2024

This chapter employs a structured secondary research approach to comprehensively investigate the evolution of artificial intelligence (AI) in the context of business. It encompasses a rigorous literature review, data collection from reputable sources, and meticulous analysis. The study conducts comparative analyses across diverse industries, supplemented by real-world case studies, to illuminate the practical applications of AI. Additionally, the chapter explores ethical considerations and regulatory frameworks, synthesizing findings to address gaps in the existing literature. The research adheres to ethical guidelines and presents its insights in a clear and organized manner.
Intelligent Systems for Industrial Robots in Logistics and Supply Chain Applications
Authors: Arangarajan M. , Kumar M. Sunil , Gupta Manish , Syed Karimulla , Shukla Prashant Kumar , Sattanathan Sivakumar
Published: March 2024

This chapter offers a comprehensive exploration of the impact of intelligent systems on industrial robotics in the context of logistics and supply chain management. It commences with an examination of the historical evolution of industrial robots and their gradual assimilation into the logistics domain, illuminating the disruptive influence of automation on traditional supply chain models. The central focus of this discussion revolves around the myriad advantages conferred by intelligent systems, particularly their capacity to optimize various facets of logistics and supply chain operations. These systems not only enhance efficiency and productivity but also possess the transformative potential to reshape the foundational principles of industrial robotics. Further, the chapter delves into the intricacies of integrating intelligent systems with existing industrial robots.
Maximizing Profits and Efficiency
Authors: Ahmed Alim Al Ayub , Kumar V. Senthil , Jena Sanjeeb K. , Nagpal Amandeep , Shukla Prashant Kumar , Balachandar K.
Published: March 2024

Efficiency and profitability are at the core of effective supply chain financial management. In the contemporary business landscape, the intersection of financial acumen and operational excellence is a critical driver of success. This exploration delves into the significance of maximizing profits and efficiency in supply chain financial management, guided by the transformative influence of artificial intelligence (AI) and machine learning. Supply chain financial management is defined by its critical role in allocating financial resources strategically, optimizing working capital, analyzing costs, and mitigating risks.
Utilizing Machine Learning in Legal Management to Enhance Supply Chain
Authors: Pandey Binay Kumar , Shah Asif Iqubal , Chaudhuri Rajdip Bhadra , Dadheech Pankaj , Thankachan Blessy , Dhabliya Dharmesh , George A. Shaji
Published: March 2024

Innovative legal and supply chain complexity solutions include machine learning in legal management and intelligent supply chain governance. Complex laws and supply chains necessitate data-driven initiatives. Effective supply chain governance needs transparency, accountability, and risk management. Complex data-rich legal administration requires machine learning. Legal research, document analysis, and predictive analytics benefit from machine learning. Supply chain governance requires compliance and risk management. Machine learning principles demonstrate lawyers can switch careers. Innovation in legal tech comes from AI, blockchain, and cybersecurity. This novel machine learning strategy for legal and change and training management requires careful planning and implementation.
An Exploratory Research for HRD Transformation Leadership Through Crisis Supply Chain Management During the Pandemic
Authors: Swapna H. R. , Madaan Geetika , Kulkarni Aruna , Mahajan Rashmi Darshan , Mahajan Darshan A. , Pandey Digvijay
Published: March 2024

Though crucial in normal times, transformative leadership in disasters has received scant attention. Crisis leadership has long been a key organisational function. This research seeks to explain the unexplained relationship between leadership efficacy and transformative leadership. Over time, businesses have evolved conservative, structured, and regulated methods for managing and accomplishing stakeholder goals. In contrast, a transformational environment grows faster, less predictable, and less certain than the previous 50 years. This chapter examines how pandemics are changing leadership and management. Many of today's structures and procedures were developed in the last 30 to 40 years; thus, it may not be necessary.
New Insights Into Strategic Consumer Behavior From the Field of Operations Management
Authors: Swapna H. R. , Bigirimana Emmanuel , Geetha R. , Paramashivan Mukundan Appadurai , George A. Shaji , Dadheech Pankaj , Vyas Vikas
Published: March 2024

This study emphasizes the importance of adopting a consumer-centric approach to supply chain management, highlighting the role of data-driven analytics, including artificial intelligence and machine learning (AI/ML), in extracting actionable insights from consumer data. Such insights can enhance demand forecasting, personalization strategies, supply chain efficiency, customer satisfaction, and risk mitigation. This chapter looks into the developing landscape of supply chain management, emphasizing the importance of adopting a consumer-centric approach. It examines the role of data-driven analytics, including artificial intelligence and machine learning, in extracting actionable insights from consumer data. The chapter also discusses how such insights can enhance demand forecasting, personalization strategies, supply chain efficiency, customer satisfaction, and risk mitigation.
Causes and reflexes of physical and psychological health in high school teachers
Authors: Pinheiro Maria das Dores Carneiro , Torres Caroline Maria de Oliveira , Almeida Neto Honor de , Gedrat Dóris
Published: March 2024

The psychological suffering of teachers is a relevant problem in the Brazilian society, being an emerging social demand since, in addition to influencing the professional’s mental and physical health, it affects their quality of life, as well as the performance at work. The research aimed to know the factors related to the physical and psychological health of high school teachers. This was a qualitative, exploratory, descriptive field study carried out in two high schools in the municipality of Santarém, state of Pará, Northern Brazil - one of which is public and the other private, with high school teachers as participants. The semi-structured script was used as a collection instrument. The results showed that factors causing damage to the professional physical and mental health are related to conflicts with students, lack of motivation to work, precarious environment, devaluation of the profession, long working hours, low wages, stress, frustration with the profession, depression, instability, among others. It was possible to identify the factors related to the process of physical and psychological illness in high school teachers, which contribute to healthproblemsanddifficultiestodeveloptheirprofessionalactivities. These are relevant results that  can support actions and measures aimed at the well-being of teachers in their workplace.
Internal Bump Cracking Risk Assessment for Flip Chip Ball Grid Array Package During Board Level Reliability Test Through Finite Element Analysis
Authors: Li Guangxu , Gurrum Siva , Jiang Li , Murugan Rajen
Published: March 2024

The performance of semiconductor devices during board-level reliability (BLR) thermal cycling tests continues to be a concern in different applications. The primary focus of those BLR tests is to evaluate the fatigue life of external solder joints between the package and printed circuit board (PCB). For flip-chip ball grid array (FCBGA) package technology, internal solder bumps can also crack and result in open electrical failure. This type of BLR failure has yet to be widely reported in the literature.

This article presents failures due to internal solder bump cracks during the BLR test. Failure analysis (FA) clearly shows the cracking location strongly depends on bump density. Finite Element Analysis (FEA) based simulation is performed to understand the failure mechanism. Unlike the standard BLR modeling approach, which focuses on predicting external solder joint fatigue life with correlated data, simulation here has to capture the entire internal bump pattern in the global BLR model. The need to capture the entirety of the bump scheme poses a significant challenge to managing the global model size with a reasonable meshing count and running time. Therefore, a customized post-process approach is developed to analyze bump density impact and enable design optimization.
Cost Analysis of Fan-out Processes for Chiplet Packaging
Authors: Lujan Amy Palesko
Published: March 2024

When building a design around chiplets, there are many factors to consider: industry standards, availability of chiplets within the supply chain, size requirements, and cost, to name a few. The cost of chiplet packaging is a particularly important factor that must be understood, because even if all design requirements can be met, the chiplet package will not come to fruition if the total cost is too high.

The basic tradeoff between a monolithic die and a series of chiplets is a reduction in silicon costs countered by an increase in packaging costs. This analysis will compare a monolithic die flip chip package to two fan-out processes that support chiplet packaging. In the first scenario, a two-chiplet chip-last fan-out on substrate package will be compared to a standard flip chip package. For the second comparison, a monolithic flip chip package will be compared to a four-chiplet fan-out package that utilizes embedded silicon for additional interconnect. For both scenarios, a detailed cost comparison will be provided.

Activity based cost modeling will be used for this analysis. In addition to looking at the direct costs of the substrated and assembly processes, yield considerations and the prices of the incoming silicon (which varies by node) will be included. The goal of this analsysis is to evaluate the cost of monolithic flip chip package versus a chiplet scenario for two designs, and to highlight the cost drivers of the fan-out chiplet packaging processes.