bluuebunny/crossref_metadata_2025 huggingface dataset:
Robust inference and model selection for data from one-shot devices under cyclic accelerated life-tests with an application to a test of CSP solder joints
Authors: Balakrishnan Narayanaswamy , Castilla Elena
Published: February 2025

We introduce here a new family of divergence-based estimators in this work for predicting the lifetimes of one-shot devices subjected to cyclic Accelerated Life-Tests (ALTs). This family, which includes the maximum likelihood estimator (MLE) as a special case, offers a robust alternative to traditional inferential procedures. We also present a family of divergence-based model selection criteria. A simulation study and a numerical example illustrate the advantages of these estimators and the robust inferential methods based on them.
Decoding vaccine discourse: A comparative analysis of Twitter conversations in the USA and India
Authors: Shrivastava Archana , Pandey Amrendra , Srivastava Arun Kumar
Published: February 2025

The digital infrastructure of anti-vaccination tweets circulates and amplifies vaccine hesitancy, leading to declined vaccination rates, amplified susceptibility to preventable diseases, and an endangered public health landscape. The article carefully looks at a collection of tweets from different sources, such as individuals, political leaders, and health agencies, to find out how arguments for and against vaccinations are discussed, how people interact with each other, and what makes Twitter users in the USA and India different. We applied a Mann–Whitney U test to understand the engagement patterns of pro- and anti-vaccination tweets, and used a critical discourse analysis method on a corpus of tweets to reveal the four discursive strategies of vaccination: (a) vaccination management, (b) government emergency preparedness, (c) concerns and criticisms, and (d) the emotional spectrum surrounding vaccination. The findings show that engagement is higher for proponents of vaccines in both countries. However, the motivation factors of vaccine proponents and vaccine boycotts in India differ substantially from those in the USA. These results underscore the imperative for healthcare entities, governments, and policymakers to develop population-specific strategies, considering their geographical and cultural backgrounds, to address the epidemics surrounding vaccines.
Teaching with Color: Thematic Hires and the Politics of Teaching in Texas
Authors: Ponce Adriana , Goodwin Alexander , Hernandez Amanda , Kauma Bryan , Del Hierro Sonia
Published: February 2025

In Teaching Community: A Pedagogy of Hope (2003), bell hooks describes Feminist Studies, Race and Ethnic Studies, and fields critical of the existing dominant structures as under attack from the conservative right. Twenty years later, this has become a reality across most academic spaces, exemplified by anti-Diversity, Equity, and Inclusion legislation targeting higher education. This article reflects on their experiences as early career scholars of color in Texas, hired at a small, private liberal arts university as “thematic hires.” Despite the “protections” afforded by the private institution, this article demonstrates how the social, geographic, and political context of Texas shapes the pedagogies, challenges, and hopes of these scholars. Collectively, these scholars propose different ways the classroom can be used as a location to challenge institutional norms and foster joy for a diverse, inclusive future, while also acknowledging the burdensome nature of the work. This article joins a growing conversation in the humanities and humanistic social sciences on ways faculty of color shoulder the burden of thinking about our shared futures as racialized, intersectional, and collaborative.
Protection of CD33-modified hematopoietic stem cell progeny from CD33-directed CAR T cells in nonhuman primates
Authors: Petty Nicholas E , Radtke Stefan , Kanestrom Greta , Fields Emily , Humbert Olivier , Fiorenza Salvatore , Llewellyn Mallory J , Laszlo George S. , Thomas Justin , Burger Zach , Swing Kyle , Zhu Haiying , Jerome Keith R , Turtle Cameron J. , Walter Roland B. , Kiem Hans-Peter
Published: February 2025

The treatment of monogenetic disorders, such as hemoglobinopathies and lysosomal storage diseases, has markedly improved with the advent of cell and gene therapies, particularly allogeneic or gene-modified autologous stem cell transplantations. However, therapeutic efficacy is reliant on maintaining engraftment above a critical threshold. To maintain such engraftment levels, we and others have pursued approaches to shield edited cells from antibody or CAR T-cell mediated selection. Here we focused on CD33, which is expressed early on hematopoietic stem and progenitor cells (HSPC) as well as on myeloid progenitors. Rhesus macaques were engrafted with HSPCs edited to ablate CD33 utilizing either CRISPR/Cas9 or adenine base editor. Both editing strategies showed similar post-transplant recovery kinetics and yielded equivalent levels of engraftment. We then created a V-set domain specific chimeric antigen receptor construct (CAR33), validated its functionality in vitro, and treated both animals with autologous CAR33 T cells. CAR33 T cells expanded after infusion and caused specific depletion of CD33WT but not CD33null progeny - leading to a transient enrichment for gene-edited cells in the blood. No depletion was seen in the bone marrow stem cell compartment with CD34+CD90+ HSCs expressing lower levels of CD33 in comparison to monocytes. Thus, we show proof of concept and safety of an epitope editing based enrichment/protection strategy in macaques.
Randomized Phase II Study to Assess the Role of Single-Agent Nivolumab to Maintain Remission in Acute Myeloid Leukemia
Authors: Pyzer Athalia Rachel , Dillon Laura W , Sharon Elad , Karrison Theodore G , Zha Yuanyuan , Fulton Noreen , Gui Gege , Andrew Georgia M , Streicher Howard , Sweet Kendra L. , Yaghmour George , Liu Jane Jijun , Jonas Brian A. , Schimmer Aaron D , Grant Steven , Zeidan Amer M. , Hildebrandt Gerhard C. , Lowrey Christopher H , Mattison Ryan J , Palmisiano Neil , Salhotra Amandeep , Tzachanis Dimitrios , Baer Maria R , Lin Tara L. , Patel Prapti A. , Chen Helen , Stadler Walter , Odenike Olatoyosi , Larson Richard A , Gajewski Thomas F , Hourigan Christopher S , Stock Wendy , Liu Hongtao
Published: February 2025

We conducted a multi-center, open-label, randomized phase II study to assess the efficacy of Nivolumab as maintenance therapy for patients with AML in first complete remission (CR) or CR with incomplete hematologic recovery (CRi) who were not candidates for SCT. Patients were stratified and randomized to Observation (Obs) or Nivolumab (Nivo, 3mg/kg IV every 2 weeks for 46 doses). The primary endpoint was progression-free survival (PFS) defined as time to disease relapse or death due to any reason. Secondary endpoints included overall survival (OS), and evaluation of adverse events following Nivolumab administration. Eighty patients were enrolled with median duration of follow-up of 24 months (33 months among survivors). PFS was 13.2 months in the Nivolumab arm (95% CI: 8.5-21.8) and 10.9 months in the Observation arm (5.4-14.9 months). Overall PFS curves were not statistically significantly different ((Nivo/Obs)= 0.92; 95% CI: 0.54, 1.56; one-sided p = 0.38). The median OS was 53.9 months in the Nivolumab arm and 30.9 months in the Observation arm. Cox regression model HR (Nivo/Obs)= 0.78; 95% CI: 0.40, 1.51; p=0.23 (one-sided). There were more adverse events (AEs) of any type (regardless of attribution) on the Nivolumab arm; 27 (71%) patients on the Nivolumab arm had a grade 3 or higher AE compared to 5 patients (12%) on the Observation arm (p<0.001). Nivolumab maintenance after AML chemotherapy failed to improve the PFS and OS in this randomized Phase II study. There were increased AEs and SAEs with nivolumab, but these AEs and SAEs were expected and manageable. ClinicalTrials.gov ID NCT02275533
Disaster preparedness and response among individuals or their immediate family members lacking legal status (IFLLS) in the United States: a national survey
Authors: Blackburn Christine Crudo , Boyce Matthew R. , Rico Mayra , Niekamp Kirk , Moats Jason
Published: February 2025

Background

Approximately 11 million immigrants without legal status live in the United States and many of these individuals live in areas that are prone to natural hazards. While there is sufficient literature to suggest that these individuals are more vulnerable to the impacts of disasters and are less prepared for disasters, there is limited understanding of natural disaster risk perception, behavioral intentions, and trust in disaster assistance among individuals or their immediate family members lacking legal status (IFLLS) in the United States. To address this gap, this study sought to describe and compare risk perception, barriers to evacuation, and trust in disaster assistance between legal citizens and IFLLS.

Methods

A cross-sectional, online survey was conducted from April 24 to June 3, 2024. Survey respondents were asked about their demographic and socioeconomic characteristics, their risk perceptions and attitudes regarding natural hazards, reasons for not complying with evacuation orders, and their trust in assistance offered by various entities during the response to natural hazards. Pearson chi-square tests and Cramér’s V were used to investigate the association between IFLLS and variables of interest.

Results

2,989 individuals completed the survey and 284 reported that they identified as IFLLS. Statistically significant relationships existed between IFLLS and residing in an area that experiences natural hazards, having been previously impacted by a disaster, anticipating being impacted by a natural hazard within the next 12 months, various reasons for noncompliance with evacuation orders, and trust in assistance offered during disaster response. There were not statistically significant relationships between IFLLS and the belief that preparedness for natural hazards is important or concern about natural hazards becoming more severe or frequent in the future.

Conclusions

These results provide the first nationally representative examination of disaster risk faced by IFLLS in the United States, as well as the barriers to evacuation. These findings highlight the importance of developing disaster preparedness and response plans that incorporate the needs of IFLLS, as these groups face higher risk. Preparedness and response policies must consider and address the unique barriers faced by IFLLS.
The mediating and moderating role of social support on the relationship between psychological well-being and burdensomeness among elderly with chronic illness: community nursing perspective
Authors: Amin Shaimaa Mohamed , Khedr Mahmoud Abdelwahab , Tawfik Ahmed Farghaly , Gamal Noaman Malek Mohamed , El-Ashry Ayman Mohamed
Published: February 2025

The increasing prevalence of chronic illnesses among the elderly affects their physical and psychological well-being, contributing to emotional burdens and feelings of burdensomeness. This study aims to investigate the mediating and moderating role of social support in the relationship between psychological well-being and burdensomeness among elderly individuals with chronic illnesses. A cross-sectional descriptive design was employed, involving 311 participants aged 60 and older, recruited through purposive sampling. Data were collected using validated instruments via structured interviews conducted from June to August 2024. The results indicate that perceived burdensomeness has a strong negative effect on psychological well-being (r = -0.654). Social support significantly mediates this relationship, with higher social support associated with lower burdensomeness (β = -0.646) and improved psychological well-being (β = 0.318). Strengthening social support networks can mitigate feelings of burdensomeness and promote mental health, ultimately enhancing the quality of life for older adults facing chronic health challenges.
Morphological characteristics and functional adaptation of gills in the Meagre, Argyrosomus regius (Asso, 1801)
Authors: Hanafy Basma G. , Abumandour Mohamed M.A.
Published: February 2025

A comprehensive morphological description of Argyrosomus regius (Asso, 1801) gills was conducted through the gross and scanning electron microscopic examinations in addition to the morphometric analysis of the number, length of the gill rakers and the space between them. The medial surface of the 1st gill arch was differed than that of the other three gill arches. Four gill arche's lateral surfaces contained pear-shaped, circular, and oval-shaped spine groups with varying sizes. The medial surface of the 1st gill arch only had different sizes of pear-shaped and oval groups of spines, while the other gill arches had the same-shaped groups of spines beside the presence of small circular groups. The lateral rakers of the 1st gill arch were long, and only one border carried pointed spines, while its medial rakers were triangular. The rakers of the 2nd, 3rd, and 4th gill arches appeared flask like medially and laterally. There were few folds and tubercles appearing on the primary gill filament surfaces; some folds appeared like the helix on the surface of their parts near the gill arch convex border. This is the first anatomical study on Argyrosomus regius gills and we aimed to reveal the unique structural specifications for gill rakers that related to its feeding behavior and we will contribute to a better understanding of its ecological niche and feeding strategies in its natural environment.
3D-CNN detection of systemic symptoms induced by different Potexvirus infections in four Nicotiana benthamiana genotypes using leaf hyperspectral imaging
Authors: Chadoulis Rizos-Theodoros , Livieratos Ioannis , Manakos Ioannis , Spanos Theodore , Marouni Zeinab , Kalogeropoulos Christos , Kotropoulos Constantine
Published: February 2025

Purpose

Hyperspectral imaging combined with machine learning offers a promising, cost-effective alternative to invasive chemical analysis for early plant disease detection. In this study, the use of 3D Convolutional Neural Networks (3D-CNNs) was explored to detect presymptomatic viral infections in the model plant Nicotiana benthamiana L. and assess the generalization of these models across different plant genotypes.

Methods

Four genotypes of Nicotiana benthamiana L. (wild-type, DCL2/4, AGO2, and NahG) were inoculated with different potexviruses (PepMV mild or severe strain, PVX, BaMV). Viral infection was verified via northern blot analysis at 5 and 10 days post inoculation (DPI). Hyperspectral images were captured over 10 days following inoculation, focusing on the top 3 leaves where symptoms typically appear. The dataset was carefully processed to remove errors, and raster masks were generated to isolate only the leaf pixels. The Extremely Randomized Trees algorithm was used for Effective Wavelength selection, and a novel 3D-CNN architecture was developed to classify

$$16 \times 16 \times 16$$

16
×
16
×
16

nonoverlapping cubes extracted from the unmasked leaf surfaces. The aim was to classify each cube into healthy or diseased for each of the four viruses at different time points.

Results

Accuracies of

$$0.78$$

0.78

–

$$0.87$$

0.87

were achieved for AGO2 mutants at the cube level, and overall plant-level accuracies of

$$0.68$$

0.68

–

$$0.89$$

0.89

. The model’s generalization capabilities were tested across other genotypes, yielding accuracies of up to

$$0.75$$

0.75

for DCL2/4,

$$0.83$$

0.83

for NahG, and

$$0.78$$

0.78

for the wild-type. The timing of disease detection was also assessed, finding that accuracies approached 0.8 as early as

$$6$$

6

–

$$8$$

8

 DPI depending on the virus. The results were validated against northern blot analyses and benchmarked against another state-of-the-art methodology for Nicotiana benthamiana viral infections, achieving superior overall classification accuracies.

Conclusion

The proposed patch-based method demonstrated key advantages: (a) exploiting both spectral and textural information, (b) deriving a large training dataset from few hyperspectral images, (c) providing localized classification explainability within leaf regions, and (d) achieving high accuracy for early detection of viral infections.
Changes in the pH value of the human brain in Alzheimer’s disease pathology correlated with CD68-positive microglia: a community-based autopsy study in Beijing, China
Authors: Wang Xue , Shao Xiangqi , Yu Liang , Sun Jianru , Yin Xiang-Sha , Chen Zhen , Xu Yuanyuan , Wang Naili , Zhang Di , Qiu Wenying , Liu Fan , Ma Chao
Published: February 2025

The microenvironment of the central nervous system is highly complex and plays a crucial role in maintaining the function of neurons, which influences Alzheimer’s disease (AD) progression. The pH value of the brain is a critical aspect of the brain microenvironment in regulating various physiological processes. However, the specific mechanisms and role of this mechanism are not yet fully understood. To better understand the relationship between brain pH and AD, we analyzed the brain pH of the frontal lobe and AD pathology scores in postmortem brain samples from 368 donors from the National Human Brain Bank for Development and Function, 96 of whom were diagnosed with AD pathology. Analysis revealed a significant decrease in brain pH in AD patients, which was strongly correlated with β-amyloid plaques and phosphorylated tau proteins. Here, we elucidated the differential protein expression level of CD68-positive microglia between control and AD groups (t = 3.198, df = 20, P = 0.0045), and its protein expression level was correlated negatively with the brain pH value (F = 26.93, p = 0.0006). Our findings revealed that increased activation of CD68-positive microglia and disrupted lysosomal homeostasis in the pathological brain tissue of individuals with AD may lead to a decrease in brain pH.
Tree species mixing causes shifts in nitrogen acquisition and utilization strategies of Mongolian pine and Simon poplar
Authors: Li Xin , Zeng De-Hui , Sheng Zimeng , Sun Yanzhen , Lin Guigang
Published: February 2025

Background

Establishing mixed-species plantations is increasingly recognized as an important silvicultural measure because they are more productive than monocultures. This over-yielding is attributed to the complementary resource use between component tree species, yet it remains largely unknown whether and how component tree species adjust nutrient acquisition and utilization strategies to achieve complementary nutrient use. Here, we measured soil nitrogen (N) availability and transformation rates, leaf N resorption efficiency and proficiency, and nine root morphological, physiological and mycorrhizal traits tightly related to N acquisition in 20-year-old pure and mixed stands of Pinus sylvestris var. mongolica (Mongolian pine) and Populus simonii (Simon poplar), northeast China.

Results

Tree species mixing had negative effects on soil nitrate concentration and net N mineralization rate, but had positive effects on absorptive fine root biomass. Compared to growing alone, Mongolian pine in mixed stands had higher leaf N resorption efficiency, and produced more absorptive fine roots with more-efficient morphological features in nutrient acquisition characterized by higher specific root length and lower root tissue density. Additionally, Simon poplar had greater root length density, root area index, and the relative abundance of ectomycorrhizal fungi with genetic potential to produce class II peroxidases in mixed than pure stands.

Conclusions

These findings highlight that component species express high plasticity in nutrient acquisition and utilization traits in response to tree species mixing, and suggest that this high plasticity could be responsible for the over-yielding of mixed-species plantations.
A digital way to assess the stain parameters that lead to soft tissue blanching when delivering an implant-supported crown
Authors: Szmukler-Moncler Serge , Morales Schwarz David , Perez Jorge Manuel , Beuer Florian
Published: February 2025

Background

Dental implant systems provide standard cylindrical healing abutments of various diameters; however, they do not match the larger shape of the complex emergence profile of the prosthetic crowns. Adaptation of the soft tissues from a circular emergence profile to the one that suits the prosthetic crown involves a simultaneous squeezing and stretching of the gingiva. Often, this translates into local blanching of the gingiva and the prosthodontist must assess that blanching is transient. There is no literature about how much strain exerted by the prosthetic crown is leading or not to gingiva blanching. Aim of this paper is to present a digital workflow that allows measuring, upon prosthesis delivery, how much the strained gingiva is displaced under the crown and leads or not to blanching of the peri-implant soft tissues.

Method and Results

The digital workflow involves 3 intra-oral scans (IOS), IOS#1 at completion of the soft tissue healing, IOS#2 at prosthesis delivery, IOS#3 after soft tissue conditioning, and the STL files of the healing cap, the abutment, the implant and the prosthetic crown. The above are superposed and merged following a dedicated protocol that provides access to the distance the delivered crown deforms the strained gingiva. The present case study displayed distinct blanching intensities. Severe blanching was present when the strains applied to the gingiva caused a displacement of 1.3 mm and above; a displacement of 0.9 mm led to moderate blanching. No blanching was observed up to a displacement of 0.6 mm.

Conclusion

A digital protocol, involving the superposition and merging of IOSs taken along a defined timeline and STLs of the implant hardware, allowed measuring the displacement distances a prosthetic crown wields upon delivery on the gingiva beneath the prosthesis. Various intensities of gingiva blanching could be related to distinct displacement distances of the healed gingiva that were triggered by attaching a prosthetic crown to the implant neck.
In-clinic vitreous biopsy peel pack technique
Authors: DeBoer Charles , Zhao Cindy , Mruthyunjaya Prithvi , Mahajan Vinit B. , Wai Karen M. , Sanislo Steven R.
Published: February 2025

Background

Vitreous biopsy is a common technique used to guide management of acute endophthalmitis and help differentiate between infectious and inflammatory conditions. Currently, in-clinic vitreous biopsy is performed with a 25-gauge needle, without the ability to cut vitreous, potentially leading to reduced diagnostic yield. Recent work demonstrated the ability to perform vitreous biopsy with an off-the-shelf vitreous cutter. However, this was limited by complexity of assembly. Here, a technique using a single peel pack vitrectomy cutter is demonstrated for in-clinic vitreous biopsy.

Methods

A 25-gauge vitreous cutter is opened from a peel pack. The drive line is identified, cut to length, and attached to a 10 mL syringe. A 1 mL syringe is attached to the aspiration line. After a trocar is used to place a cannula in the pars plana, the vitreous cutter is introduced into the eye. Cutting is performed by an assistant actuating the 10 mL syringe while the surgeon aspirates from the 1 mL syringe. After sample is collected, antimicrobials are injected if required and the cannula is removed.

Results

A peel pack technique simplifies assembly for an in-clinic vitreous biopsy using a manually actuated cutter.

Conclusion

We present a novel, improved, and simplified technique for vitreous tap using a vitreous cutter provided in a single peel pack, actuated by a single syringe with minimal assembly prior to use. This technique may be more accessible for clinicians than prior techniques and does not require a surgical console.
A machine learning model to predict wildfire burn severity for pre-fire risk assessments, Utah, USA
Authors: Klimas Kipling B. , Yocom Larissa L. , Murphy Brendan P. , David Scott R. , Belmont Patrick , Lutz James A. , DeRose R. Justin , Wall Sara A.
Published: February 2025

Background

High-severity burned areas can have lasting impacts on vegetation regeneration, carbon dynamics, hydrology, and erosion. While landscape models can predict erosion from burned areas using the differenced normalized burn ratio (dNBR), post-fire erosion modeling has predominantly focused on areas that have recently burned. Here, we developed and validated a predictive burn severity model that produces continuous dNBR predictions for recently unburned forest land in Utah.

Results

Vegetation productivity, elevation, and canopy fuels were the most important predictor variables in the model, highlighting the strong control of fuels and vegetation on burn severity in Utah. Final model out-of-bag R2 was 67.1%, residuals showed a correlation coefficient of 0.89 and classification accuracy into three classes was 85%. We demonstrated that dNBR can be empirically modeled relative to fuels and topography and found burn severity was highest in productive vegetation and at relatively cooler sites.

Conclusions

We found that prediction accuracy was higher when fuel moisture was lower, suggesting drier weather conditions drive more consistent and predictable burn severity patterns across a range of burn severity, vegetation types, and geographic locations. Moreover, burn severity predictions from this model can be used to inform hydro-erosion models and subsequent management actions aimed at reducing burn severity and post-wildfire erosion risks.
Promoting Reasonable Career Expectations and Maximizing Professional Fulfillment for Academic Oncologists: ASCO Recommendations for Academic Medical Centers
Authors: Winer Eric P. , Levit Laura A. , Basch Ethan , Chavez-MacGregor Mariana , Dubois Ray , Eckhardt S. Gail , Ellis Lee M. , Hudis Clifford A. , Schrag Deborah , Speers Corey , Wilky Breelyn A. , Tibbits Michal , Spence Rebecca , Garrett-Mayer Elizabeth
Published: February 2025

In this statement, ASCO encourages academic medical centers to change their policies and expectations to enhance and promote the professional fulfillment of academic medical oncologists. The statement includes three recommendations directed to academic medical centers to further this goal: (1) establish reasonable clinical workloads for academic medical oncologists, (2) provide resources to enable medical oncologists to participate in and conduct research, and (3) develop and apply their standards for clinical workloads and research support, as well as career advancement and leadership opportunities, fairly and equitably across academic medical oncologists. Overall, improved career satisfaction is likely to result in retention of oncologists in the workforce. This is critical to support high-quality patient care, educate the next generation of cancer-focused professionals, and accelerate research discovering effective strategies for cancer prevention, diagnosis, and treatment.
Irish Feminist Witches
Authors: Spence Shannon Hughes
Published: February 2025

This chapter explores why a number of feminists in Ireland have reclaimed the witch as a symbol of empowerment in an attempt to resist the patriarchal society that they feel exists withinthe country. Many people have experienced or witnessed violence and harm caused by family members, the Irish State, and/or the Catholic Church. With this in mind, and inspired by the collective solidarity of grassroots activist movements, Irish feminist witches are using not only the image of the witch to rebel against a patriarchal society but also the practice of witchcraft to resist traditional societal norms, reclaim and restructure the meaning of femininity, and heal the hurt that has been caused by oppressive structures of power.
“I Put a Spell on You and Now You're Mine”
Authors: Rogel Anna
Published: February 2025

The popularity of images of witches and witchcraft in fifteenth and sixteenth century established a visual code for witchcraft in the West. This chapter argues for a vulvacentric reading of this code that reveals visual cues representing witchcraft as a story of female alliance, female knowledge transmission, and female authorship. Through an analysis of the movie Hocus Pocus, the author proposes the concept of the funny witch who refuses to apologize for her transgressions. With the power to ridicule the forces of oppression, the funny witch crosses the boundaries of who a woman is allowed to be while she accesses a broad audience that might not necessarily indulge in openly political and feminist form of humor. Hocus Pocus shows how witches can use metaphors that have been created to subdue them to instead enchant, build covens, and convert the audience to their wicked ways.
Feminism as a Demon, or, The Difference Witches Make
Authors: Trigg Nicole
Published: February 2025

This chapter centers a performance work by Italian multimedia artist Chiara Fumai (“Shut Up, Actually Talk,” 2013) that remixes a manifesto by radical Italian feminist Carla Lonzi (“I Say I,” 1977), considering it a work of radical and demonic feminist witchcraft whose aim is to transform reality. The chapter reanimates the performance while contemplating its appropriative, relational mechanisms as tools for re-worlding, initiated from within the (negative) position of the socially differentiated.
Religion and Magic through Feminist Lenses
Authors: Neitz Mary Jo , Goldman Marion S.
Published: February 2025

Sociology of religion continues to debate ongoing disappearing religiosity in a complex global world. This chapter disrupts the religion-secular binary by centering on magic and recognizing the personal and social impacts of witchcraft, local celebrations and rituals, astrology, tarot, and other forms of divination. Binary assumptions about relations between contemporary institutionalized religion and vernacular spirituality obscure the many ways that magic shapes both cosmology and practice within and outside of religions. While many second-wave feminists idealized secularization as a sign of progress and equality, transnational feminist critiques of colonialist discourse produced a logic that challenges binaries. This chapter explores the critical conversation within feminism to interrogate widespread academic suppression of magic and assumptions about religion. Examining the works of feminist theorists Gloria Anzaldúa, M. Jacqui Alexander, and Omise'eke Natsaha Tinsley suggests how theory and practice integrate spirit and action and provide nuanced perspectives about religion, gender, and power.
Riding
Authors: Mahdavi Pardis
Published: February 2025

In Riding, Pardis Mahdavi meditates on the lessons learned over a lifetime of horseback riding and the falling, failing, and joy it brings. At once a history of Caspian horses, an exploration of Mahdavi’s Iranian-American identity and family history, and a consideration of the capacity for self-reflection and self-compassion through human-animal relationships, Riding offers a roadmap for learning to live in harmony with the self and the environment around us. Mahdavi shows how her relationship with horses gives her insights into intergenerational strength and tools for healing intergenerational trauma. Riding from the mountains of Iran to the beaches of California, Mahdavi shares her love affair with horses, rediscovers a homeland she longs for, and ultimately finds her strength.
Essays on risk management
Authors: Ζαβερδινός Παρασκευάς
Published: February 2025

Η παρούσα έρευνα χωρίζεται σε τρία κεφάλαια. Το πρώτο κεφάλαιο εξετάζει τη κυκλικότητα των κεφαλαιακών απαιτήσεων και εάν οι τράπεζες ακολουθούν μια διορατική προσέγγιση όσον αφορά τα κεφαλαιακά αποθέματα που διακρατούν. Το δεύτερο κεφάλαιο επηρεασμένο από τις μη συμβατικές πολιτικές των Κεντρικών Τραπεζών κατά τη διάρκεια της πρόσφατης οικονομικής κρίσης (2007-2009) εξετάζει τις επιπτώσεις που έχουν οι τράπεζες εξαιτίας της πτώση των επιτοκίων σε αρνητικά επίπεδα για μεγάλα διαστήματα. Τέτοιες πρακτικές εφαρμόστηκαν καθολικά από μερίδα Κεντρικών τραπεζών όπως η Ευρωπαϊκή Κεντρική Τράπεζα, η Σουηδική Risk Bank, η Κεντρική Τράπεζα της Ιαπωνίας και η Ελβετική Κεντρική Τράπεζα. Χρησιμοποιώντας μια μεγάλη βάση τραπεζικών δεδομένων και εφαρμόζοντας τη μέθοδο διαφορών (DiD) εξετάσαμε την ύπαρξη του "Reversal Interest Rate theory". Το τρίτο κεφάλαιο επηρεασμένο από το ρόλο των τραπεζών κατά τη μετάδοση της νομισματικής πολιτικής όπως εκφράζεται από τη θεωρία του καναλιού δανεισμού προσπαθεί να απαντήσει σε ένα σύνολο αλληλένδετων ερωτημάτων όπως η επίδραση των δεικτών κεφαλαιακής επάρκειας στην πιθανότητα νέας τραπεζικής κρίσης και ο αντίκτυπος των αυστηρότερων κανονισμών κεφαλαιακής επάρκειας στην Οικονομία και στις συνολικές πιστοδοτήσεις που παρέχονται από τις Τράπεζες.
Protocol for a hybrid systematic review of the barriers and facilitators to implementing lung cancer screening in community settings.
Authors: Ali Ahmeda , Pirie Katherine , Hughes Caoimhe , Jacob Benjamin , Doyle Frank , Brain Kate , Le Bonniec Alice , Cotter Seamus , Walsh Killian , McCutchan Grace , Rankin Nicole M. , Redmond Patrick
Published: February 2025

Background Lung cancer remains a leading cause of cancer-related mortality, with early screening using low-dose computed tomography (LDCT) substantially improving survival. However, participation in screening programmes remains low, particularly among underserved populations. This review aims to identify barriers and facilitators to the implementation of lung cancer screening within a behavioural and implementation science framework, to inform strategies that enhance community-based screening uptake. Methods This hybrid systematic review will be conducted in two phases. First, existing systematic reviews on global LDCT-based lung cancer screening recruitment strategies will be identified and screened against eligibility criteria. Second, we will search databases for individual studies not covered by the identified reviews. Studies must focus on community-based lung cancer screening recruitment, with the primary outcome being barriers and facilitators to implementation in these settings. Two independent reviewers will perform screening, selection, bias assessment, and data extraction. A thematic synthesis will be conducted using the Consolidated Framework for Implementation Research (CFIR), with evidence strength assessed using GRADE and CERQual. This protocol adheres to the Joanna Briggs Institute (JBI) Reviewers’ Manual and PRISMA-P guidelines. Conclusion The review will provide comprehensive insights into factors influencing the implementation of lung cancer screening in community settings, aiming to guide improvements in recruitment strategies and increase participation rates. Findings will be disseminated widely to researchers, healthcare practitioners, policymakers, and the public to support the effective implementation of lung cancer screening programmes.
The genome sequence of a leaf beetle, Galerucella nymphaeae (Linnaeus, 1758)
Authors: Booth Roger ,   Natural History Museum Genome Acquisition Lab,   Darwin Tree of Life Barcoding collective,   Wellcome Sanger Institute Tree of Life Management, Samples and Laboratory team,   Wellcome Sanger Institute Scientific Operations: Sequencing Operations,   Wellcome Sanger Institute Tree of Life Core Informatics team,   Tree of Life Core Informatics collective,   Darwin Tree of Life Consortium
Published: February 2025

We present a genome assembly from an individual female specimen of Galerucella nymphaeae (leaf beetle; Arthropoda; Insecta; Coleoptera; Chrysomelidae). The genome sequence has a total length of 350.20 megabases. Most of the assembly (99.8%) is scaffolded into 16 chromosomal pseudomolecules, including the X sex chromosome. The mitochondrial genome has also been assembled and is 16.95 kilobases in length.
The genome sequence of the Small Waved Umber moth, Horisme vitalbata (Denis & Schiffermüller), 1775
Authors: Sims Ian , Lees David C. ,   Natural History Museum Genome Acquisition Lab,   Darwin Tree of Life Barcoding collective,   Wellcome Sanger Institute Tree of Life Management, Samples and Laboratory team,   Wellcome Sanger Institute Scientific Operations: Sequencing Operations,   Wellcome Sanger Institute Tree of Life Core Informatics team,   Tree of Life Core Informatics collective,   Darwin Tree of Life Consortium
Published: February 2025

We present a genome assembly from an individual male Horisme vitalbata (the Small Waved Umber; Arthropoda; Insecta; Lepidoptera; Geometridae). The genome sequence has a total length of 532.80 megabases. Most of the assembly is scaffolded into 22 chromosomal pseudomolecules, including the Z sex chromosome. The mitochondrial genome has also been assembled and is 16.58 kilobases in length.
Exploration on Resource Scheduling Optimization Strategies in Cloud Computing Environment
Authors: Li Xiaolan , Yang Wenfu
Published: February 2025

The rapid expansion of cloud computing has brought opportunities and difficulties for resource schedule optimization to enhance productivity and decrease expenses. This study offers a thorough analysis of resources planning optimisation techniques in cloud computing settings, emphasizing the most recent developments and approaches. First, we go over the basic ideas of resource scheduling, such as resource sharing, load balancing, and task distribution. The task scheduler's execution-time mappings among the future demand and cloud resources makes application planning one of the major difficulties in cloud computing. By decreasing makespan and improving resource utilization, an effective scheduling system is required to schedule the diversified workload and enhance performance metrics. Numerous scheduling methods that were previously in use only considered makespan and utilization of resources metrics, ignoring other important factors that have an immediate effect on cloud service performance, such as energy consumption and migration time. To address the problems, the authors have developed the Hybridize Whale Optimization Algorithm (H-WOA), a nature-inspired multi-objective task scheduling algorithm that can make scheduling decisions at runtime depending on the availability of cloud resources and impending workload requirements. Furthermore, the suggested method distributes the resources according to task priorities and end users' budgets. The workload for the proposed H-WOA technique, which is based on the Cloudsim toolkit, is created by creating datasets (da01, da02, da03, da04) with various task densities and workload records from NASA (da05, da06) and HPC2N (da01, da02) parallel workload repositories. An extended experiment's findings demonstrate that the suggested H-WOA technique enhanced the important variables and performed better than alternative baseline policies.
Robust Identification Algorithm of Network Communication Signals via Machine Learning Model
Authors: Sun Peifeng , Hu Guang
Published: February 2025

The efficiency of communication processing and control depends heavily on the recognition of network signals, however irregularities and mistakes frequently arise during the application process. In this work, we leverage machine learning models to automatically identify computer network communication signals, leveraging recent advancements in artificial intelligence technology. In the simulation, we employed a support vector machine (SVM) model, and we utilized parameter optimization to address the overlearning issue. The process of classifying modulation signals involves the extraction of feature parameters through the application of support vector machine and radial basis function neural network (RBFNN) models, respectively. Real-world network communication involves the observation and collection of signals from various viewpoints or feature spaces. These views provide a variety of detailed insights into the signal, and feature extraction is carried out for each view to produce the associated feature vectors. An extensive description of the signal can be generated by extracting the features from several viewpoints. Various viewpoints' feature vectors are combined and synthesized. The robustness of signal recognition can be increased and the bias and inaccuracy that could be generated by a single view can be minimized by combining the data from several perspectives. The support vector machine performs better than the radial basis function neural network, according to experimental findings. When the signal-to-noise ratio (SNR) is high, network communication signals function effectively. However, the latter (RBFNN) performs significantly worse in low SNR settings whilst the former (SVM) retains good accuracy. Therefore, when it comes to computer network communication signals, the support vector machine model is thought to be more reliable.
Analysing the Classification of Artistic Styles of Painting in Art Teaching from the Perspective of Emotional Semantics
Authors: Song Yan
Published: February 2025

With the advancement of Internet information technology, a great number of art paintings have appeared on key small network platforms. These art paintings include not only a huge quantity of representational information, but also a large amount of semantic information; yet, there is currently a dearth of more systematic research on sentiment semantic analysis in painting art works. To provide basic support for study into the sentiment semantics of art paintings, we present a machine learning-based classification algorithm for painting art in art education from the standpoint of sentiment semantic analysis. To begin, we build machine learning models of different painting styles. Once machine learning is realized, we convert the color space into Lab color space and use the weighting function and the color values of the a and b channels to obtain the image's color entropy; to obtain the chunking entropy, we use the art image's chunking machine learning and the mean of the chunking machine learning; and to obtain the contour Entropy, we use the Contourlet transform to extract the image's contour information. With significant novelty and practical application value, this study presents a new direction for the study and practice of emotional level adaptive interaction in intelligent learning environments.
Information Monitoring of Transmission Line Operating Environment based on Internet of Things Technology
Authors: Zheng Sijia , Du Wei , Wang Jiaying , Yang Guozhu , Zhao Yajie
Published: February 2025

In order to solve the problem of real-time monitoring of transmission line status in smart grid construction, the author proposes an information-based monitoring method for the operating environment of transmission lines based on Internet of Things technology. This approach implements a monitoring system for transmission line status that leverages Internet of Things (IoT) technology, Passive Optical Network (PON) technology, and fuzzy expert diagnosis techniques. Extensive experimentation and field trials have yielded promising outcomes, facilitating the real-time monitoring of transmission line statuses and precise diagnostic assessments. The experimental results indicate that this system has shortened inspection time, reduced costs, and improved inspection accuracy. The accuracy can reach 99.9\%, with high reliability. The accuracy and feasibility of the system have been verified, and it has the characteristics of comprehensive state information collection, stable network, high output accuracy, and simple deployment.
Design of a Monitoring and Feedback System for Athlete Training Process based on Mobile Intelligent Devices
Authors: Hu Mengmeng , Wu Xifeng
Published: February 2025

In order to solve the problem of high probability of information loss in traditional sports training information management systems, the authors propose the design of an athlete training process monitoring and feedback system based on mobile intelligent devices. The system improves the design of sports training information mobile storage servers, mobile information collection sub sites, and intelligent information processors in terms of hardware, and processes users' sports training information in real-time. In terms of software design, classify the sports training information of different users, calculate the similarity of sports training information of different users, and complete intelligent information management. The experimental results show that for traditional information management systems, the average packet loss rate for tablet device users is 0.0534%, and the average packet loss rate for mobile device users is 0.0732%. The data on packet loss rate is relatively high. For the intelligent management system of sports training information based on mobile devices, the average packet loss rate for tablet users is 0.0144%, and the average packet loss rate for mobile device users is 0.0300%. By comparison, it can be seen that the packet loss rate of information intelligent management systems based on mobile devices is lower. The information processing packet loss rate of this system is significantly reduced, which is better than traditional information management systems.
DDOS Attack Detection and Performance Analysis in IOT Network using Machine Learning Approaches
Authors: Panda Depriya , Padhy Neelamadhab , Sharma Kavita
Published: February 2025

The Internet is the most common connecting tool for devices, such as computers, mobile phones, smart watches, etc. These devices communicate with designated servers to provide information. Here we refer to the system that connects numerous autonomous devices known as the Internet of Things (IoT). As the devices are of diverse categories and sometimes very small, it becomes challenging to provide comprehensive security to those in need. However, the sensors on the IoT collect huge amounts of data and the huge network becomes an attractive target for assaulters. One of the several assaults on IoT is Distributed Denial of Service (DDoS). Machine learning can play a crucial role in identifying these attacks in the IoT because of its ability to analyse large amounts of data. Machine learning models can learn the pattern of legitimate traffic and later identify malicious packets that deviate from the learned pattern. Classification techniques can distinguish malicious packets from genuine ones based on several attributes associated with them. This work uses classification techniques such as Random Forest, Gradient Boosting, and XgBoost to determine the malicious packets in traffic. The analysis shows that balancing techniques such as SMOTE and ADASYN are vital in improving the performance of techniques.