bluuebunny/crossref_metadata_2025 huggingface dataset:
Resting-State Functional Connectivity Predicts Attention Problems in Children: Evidence from the ABCD Study
Authors: Duffy Kelly A. , Helwig Nathaniel E.
Published: October 2024

Attention deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder, and numerous functional and structural differences have been identified in the brains of individuals with ADHD compared to controls. This study uses data from the baseline sample of the large, epidemiologically informed Adolescent Brain Cognitive Development Study of children aged 9–10 years old (N = 7979). Cross-validated Poisson elastic net regression models were used to predict a dimensional measure of ADHD symptomatology from within- and between-network resting-state correlations and several known risk factors, such as biological sex, socioeconomic status, and parental history of problematic alcohol and drug use. We found parental history of drug use and biological sex to be the most important predictors of attention problems. The connection between the default mode network and the dorsal attention network was the only brain network identified as important for predicting attention problems. Specifically, we found that reduced magnitudes of the anticorrelation between the default mode and dorsal attention networks relate to increased attention problems in children. Our findings complement and extend recent studies that have connected individual differences in structural and task-based fMRI to ADHD symptomatology and individual differences in resting-state fMRI to ADHD diagnoses.
Exploring Neuroprotection against Radiation-Induced Brain Injury: A Review of Key Compounds
Authors: González-Johnson Lucas , Fariña Ariel , Farías Gonzalo , Zomosa Gustavo , Pinilla-González Víctor , Rojas-Solé Catalina
Published: October 2024

Brain radiation is a crucial tool in neuro-oncology for enhancing local tumor control, but it can lead to mild-to-profound and progressive impairments in cognitive function. Radiation-induced brain injury is a significant adverse effect of radiotherapy for cranioencephalic tumors, primarily caused by indirect cellular damage through the formation of free radicals. This results in late neurotoxicity manifesting as cognitive impairment due to free radical production. The aim of this review is to highlight the role of different substances, such as drugs used in the clinical setting and antioxidants such as ascorbate, in reducing the neurotoxicity associated with radiation-induced brain injury. Currently, there is mainly preclinical and clinical evidence supporting the benefit of these interventions, representing a cost-effective and straightforward neuroprotective strategy.
Co-Inoculation of Soybean Seeds with Azospirillum and/or Rhizophagus Mitigates the Deleterious Effects of Waterlogging in Plants under Enhanced CO2 Concentrations
Authors: Shimoia Eduardo Pereira , Posso Douglas Antônio , da-Silva Cristiane Jovelina , Bester Adriano Udich , Bernardi Nathalia Dalla Corte , Carvalho Ivan Ricardo , de Oliveira Ana Cláudia Barneche , Avila Luis Antonio de , do Amarante Luciano
Published: October 2024

Rising CO2 levels, as predicted by global climate models, are altering environmental factors such as the water cycle, leading to soil waterlogging and reduced oxygen availability for plant roots. These conditions result in decreased energy production, increased fermentative metabolism, impaired nutrient uptake, reduced nitrogen fixation, and altered leaf gas exchanges, ultimately reducing crop productivity. Co-inoculation techniques involving multiple plant growth-promoting bacteria or arbuscular mycorrhizal fungi have shown promise in enhancing plant resilience to stress by improving nutrient uptake, biomass production, and nitrogen fixation. This study aimed to investigate carbon and nitrogen metabolism adaptations in soybean plants co-inoculated with Bradyrhizobium elkanii, Azospirillum brasilense, and Rhizophagus intraradices under waterlogged conditions in CO2-enriched environments. Plants were grown in pots in open-top chambers at ambient CO2 concentration (a[CO2]) and elevated CO2 concentration (e[CO2]). After reaching the V5 growth stage, the plants were subjected to waterlogging for seven days, followed by a four-day reoxygenation period. The results showed that plants’ co-inoculation under e[CO2] mitigated the adverse effects of waterlogging. Notably, plants inoculated solely with B. elkanii under e[CO2] displayed results similar to co-inoculated plants under a[CO2], suggesting that co-inoculation effectively mitigates the waterlogging stress, with plant physiological traits comparable to those observed under elevated CO2 conditions.
Optimization of Exocrine Pancreatic Insufficiency in Pancreatic Adenocarcinoma Patients
Authors: Moore Jaclyn V. , Scoggins Charles R. , Philips Prejesh , Egger Michael E. , Martin Robert C. G.
Published: October 2024

Background/Objectives: This study explores the optimization of exocrine pancreatic insufficiency (EPI) management in pancreatic adenocarcinoma patients, focusing on the scientific advancements and technological interventions available to improve patient outcomes, including oral pancreatic enzyme replacement therapy (PERT) and immobilized lipase cartridge (RELiZORB®). This was a prospective Institutional Review Board (IRB)-approved study from October 2019 through to August 2021 at the Louisville Medical Center in collaboration with Norton Healthcare and the University of Louisville Division of Surgical Oncology. Patients with a diagnosis of pancreatic adenocarcinoma (Stage 2 or 3) who underwent oncologic surgical resection were included in this study. Methods: Patients were contacted at pre-defined intervals (prior to surgery, before hospital discharge, and 2, 4, 6, and 12 weeks after surgery) to complete nutrition evaluation, EPI assessment, and quality of life questionnaires to identify the severity and frequency of gastrointestinal (GI) symptoms. Results: EPI symptoms were reported in 28 of the 35 total patients studied (80%). Jejunostomy tubes were placed during oncologic surgery in 25 of the 35 total patients studied (71%), and 12 of the 25 patients with a jejunostomy tube utilized enzyme cartridges to manage EPI symptoms while on supplemental tube feeding (48%). EPI symptoms were reported in 8 of the 10 patients without a feeding tube (80%), and their EPI symptoms were managed with PERT alone. EPI interventions, both oral PERT and immobilized cartridges, were associated with a decrease in EPI symptoms after surgery and improved quality of life (QOL). Conclusions: Overall, early optimization of EPI is crucial to enhance overall patient care, return to oncology therapy after surgery, and improve quality of life in pancreatic adenocarcinoma patients.
Gut–Brain Axis and Psychopathology: Exploring the Impact of Diet with a Focus on the Low-FODMAP Approach
Authors: Ribichini Emanuela , Scalese Giulia , Mocci Chiara , Severi Carola
Published: October 2024

Background: The gut–brain axis (GBA) is a bidirectional communication network connecting the central nervous system with the gastrointestinal (GI) tract, influencing both mental and physical health. Recent research has underscored the significant role of diet in modulating this axis, with attention to how specific dietary patterns can impact anxiety and depression, particularly when linked to disorders of gut–brain interaction (DGBIs), like intestinal bowel syndrome (IBS). Aims and Methods: This narrative review examines the effects of specific diet regimens on the GBA and its potential role in managing psychopathology, focusing on anxiety and depression, IBS, and the low-FODMAP diet. We conducted a search on PubMed and MEDLINE by combining the following key terms: “Gut–Brain Axis”, “Irritable Bowel Syndrome”, “Low FODMAP diet”, “Mediterranean Diet”, “Psychopathology”, “Anxiety and Depression”, and “Gut Microbiota”. We applied the following filters: “Clinical Trials”, “Randomized Controlled Trials”, “Reviews”, “Meta-Analyses”, and “Systematic Reviews”. In total, 59 papers were included. Results: Low-FODMAP diet, originally developed to alleviate GI symptoms in IBS, may also positively influence mental health by modulating the GBA and improving the gut microbiota (GM) composition. New insights suggest that combining the low-FODMAP diet with the Mediterranean diet could offer a synergistic effect, enhancing both GI and psychological therapeutic outcomes. Conclusions: Understanding the complex interactions between diet, the GM, and mental health opens new avenues for holistic approaches to managing psychopathology, particularly when linked to GI symptoms.
Association Between Ultraprocessed Food Consumption and Metabolic Disorders in Children and Adolescents with Obesity
Authors: Lee Gyeong-yoon , Lim Joo Hyun , Joung Hyojee , Yoon Dankyu
Published: October 2024

Background/Objectives: We investigated the effects of ultraprocessed food (UPF) consumption on metabolic disorders (e.g., adiposity, metabolic associated steatotic liver disease [MASLD], and insulin resistance) in children and adolescents with obesity to improve dietary guidelines and public health strategies. Methods: The dietary intake of 149 participants (aged 8–17 years) was assessed with food diaries. The NOVA classification system was used to classify food according to the degree of processing. Metabolic outcomes, including the fat mass index (FMI), hepatic fat percentage, and insulin resistance, were measured via dual-energy X-ray absorptiometry (DXA), magnetic resonance imaging proton density fat fraction (MRI-PDFF), and biochemical analysis, respectively. Results: Greater UPF consumption from baseline to the 6-month follow-up was significantly associated with increased insulin and decreased total cholesterol and LDL-cholesterol. UPF consumption was positively associated with the prevalence of MASLD (liver MRI-PDFF ≥ 5%; odds ratio T3 vs. T1 = 1.75; 95% confidence interval [CI] 1.03, 3.00), moderate-to-severe MASLD (liver MRI-PDFF ≥ 10%; OR T3 vs. T1 = 4.19; 95% CI 1.72, 10.22), and insulin resistance (OR T3 vs. T1 = 2.44; 95% CI 1.33, 4.48), after adjusting for covariates. A linear dose-response relationship was observed between UPF consumption and the odds of moderate-to-severe MASLD and insulin resistance. Conclusions: Greater UPF consumption was strongly associated with MASLD and insulin resistance in children and adolescents with obesity, underscoring the importance of reducing UPF consumption through dietary guidelines and public health interventions to mitigate the risk of obesity-related metabolic conditions in young populations.
Navigating the Health Care System with Chronic Dizziness: A Qualitative Study
Authors: Cornforth Elizabeth , Schramm Katherine
Published: October 2024

Introduction: The purpose of this study was to qualitatively explore the experiences of chronic dizziness diagnosis and management within the health care system. Methods: This qualitative phenomenological study used focus groups to interview a convenience sample of individuals with chronic dizziness (n = 13) and vestibular physical therapists (n = 15). Focus group data were systematically analyzed using a descriptive coding process. Results: Two major themes emerged from interviews with individuals with dizziness: (1.) complexities navigating the health system and (2.) loss of self-identity. Three major themes emerged from interviews with vestibular physical therapists: (1.) patients have a complex, multi-factorial presentation, (2.) importance of the multidisciplinary care team, and (3.) behavior influences outcomes. Individuals with chronic dizziness identified many challenges in effectively navigating the health system and receiving an effective diagnosis and management, including the patient–provider relationship, with negative impacts on quality of life. Vestibular physical therapist data concurred and validated these experiences. Conclusion: Given the complex, multi-factorial nature of dizziness, increased use of the biopsychosocial model in a multidisciplinary dizziness clinic may inform a more holistic approach for this patient population and improve future outcomes for individuals with chronic dizziness.
Resolution Improvement for Coherent Illumination Microscopy via Incident Light Phase Modulation
Authors: Ling Jinzhong , Li Yangyang , Guo Jinkun , Liu Xin , Wang Xiaorui
Published: October 2024

In order to break the diffraction limit and improve the imaging resolution of optical microscope, in this article, we theoretically deduced the influence of phase difference on imaging resolution under coherent illumination. As the phase difference increased, the resolution improved gradually. Inspired by this conclusion, a super-resolution optical imaging system based on phase modulation was proposed and simulated. An optical mask was designed to generate additional phase difference for the adjacent area at the sample’s surface, and the influence of its structural parameters was analyzed numerically. The simulation results preliminarily confirm the feasibility of this scheme, laying the foundation for a more optimal and comprehensive super-resolution imaging scheme. Due to its advantages of high resolution, a wide field of view, and being compatible, this non-fluorescence super-resolution imaging scheme is worthy of further research and application.
Genomic Analysis of Aeromonas salmonicida ssp. salmonicida Isolates Collected During Multiple Clinical Outbreaks Supports Association with a Single Epidemiological Unit
Authors: Wojnarowski Konrad , Cholewińska Paulina , Steinbauer Peter , Lautwein Tobias , Hussein Wanvisa , Streb Lisa-Marie , Palić Dušan
Published: October 2024

Outbreaks of furunculosis cause significant losses in salmonid aquaculture worldwide. With a recent rise in antimicrobial resistance, regulatory measures to minimize the use of antibiotics in animal husbandry, including aquaculture, have increased scrutiny and availability of veterinary medical products to control this disease in production facilities. In such a regulatory environment, the utility of autogenous vaccines to assist with disease prevention and control as a veterinary-guided prophylactic measure is of high interest to the producers and veterinary services alike. However, evolving concepts of epidemiological units and epidemiological links need to be considered during approval and acceptance procedures for the application of autogenous vaccines in multiple aquaculture facilities. Here, we present the results of solid-state nanopore sequencing (Oxford Nanopore Technologies, ONT) performed on 54 isolates of Aeromonas salmonicida ssp. salmonicida sampled during clinical outbreaks of furunculosis in different aquaculture facilities from Bavaria, Germany, from 2017 to 2020. All of the performed analyses (phylogeny, single nucleotide polymorphism and 3D protein modeling for major immunogenic proteins) support a high probability that all studied isolates belong to the same epidemiological unit. Simultaneously, we describe a cost/effective method of whole genome analysis with the usage of ONT as a viable strategy to study outbreaks of other pathogens in the field of aquatic veterinary medicine for the purpose of developing the best autogenous vaccine candidates applicable to multiple aquaculture establishments.
Hydroxyurea Pharmacokinetic Evaluation in Patients with Sickle Cell Disease
Authors: Di Grazia Daniela , Mirabella Cristina , Chiara Francesco , Caudana Maura , Shelton Agar Francesco Maximillian Anthony , Zanatta Marina , Allegra Sarah , Bertello Jenni , Voi Vincenzo , Ferrero Giovanni Battista , Abbadessa Giuliana , De Francia Silvia
Published: October 2024

Background: Hydroxyurea (HU), also known as hydroxycarbamide, is an oral ribonucleotide reductase inhibitor. In 1999, the United States Food and Drug Administration (FDA) approved HU for the treatment of sickle cell disease (SCD). Since then, it has become the cornerstone in the management of SCD patients, helping to reduce vaso-occlusive crises, acute chest syndrome, the need for blood transfusions, hospitalizations and mortality. There is considerable variability among individuals in HU pharmacokinetic (Pk) parameters that can influence treatment efficacy and toxicity. The objective of this work is part of a clinical study aimed at investigating HU Pk and determining the optimal sampling time to estimate the Area Under the Curve (AUC) in SCD patients. Methods: HU plasma concentration in 80 patients at various time points (2, 4, 6, 24 h) following a 48-h drug washout was quantified using High-Pressure Liquid Chromatography (HPLC) coupled with an ultraviolet (UV) detection method previously described in the literature and adapted to new conditions with partial modifications. Results: The mean HU administered dose was 19.5 ± 5.1 mg/kg (range: 7.7–37.5 mg/kg). The median AUC quantified in plasma patients was 101.3 mg/L/h (Interquartile Range (IQR): 72.5–355.9) and it was not influenced by the weight-based dose. However, there was a strong positive correlation between AUC and Body Mass Index (BMI) as well as dose per Body Surface Area (BSA). Along with a three-point approach for AUC determination present in the literature, we show results obtained from a four-point sampling strategy, which is more useful and effective for better optimizing dose escalation to the maximum tolerated dose (MTD). Moreover, we observed that most patients achieved the maximum HU plasma concentration two hours after drug administration, regardless of age differences. Conclusions: HU treatment, which represents a milestone in the treatment of SCD due to its ability to reduce disease complications and improve patients’ quality of life, requires careful monitoring to optimize the individual dose for saving potential side effects and/or adverse events.
Valorization of Historical Natural History Collections Through Digitization: The Algarium Vatova–Schiffner
Authors: Seggi Linda , Trabucco Raffaella , Martellos Stefano
Published: October 2024

Digitization of Natural History Collections (NHCs) and mobilization of their data are pivotal for their study, preservation, and accessibility. Furthermore, thanks to digitization and mobilization, Natural History Museums can better showcase their collections, potentially attracting more visitors. However, the optimization of digitization workflows, especially when addressing small and/or historical NHCs, remains a challenge. Starting from a practical example, this contribution aims at providing a general guideline for the digitization of historical NHCs, with a particular focus on pre-digitization planning, during which some decisions should be made for ensuring a smooth, cost- and time-effective digitization process. The digitization of the algarium by Aristocle Vatova and Victor Schiffner was carried out following an image-to-data workflow, which allowed for reducing the handling of the specimens. The metadata were organized according to the Darwin Core standard scheme, and, together with the digital images of the specimens, have been made available to the scientific community and to the general public via an online portal. Thanks to the application of digital technologies and standardized methods, the accessibility of the collection has been enhanced, and its integration with historical data is possible, highlighting the relevance of shared experiences and protocols in advancing the digital transformation of natural history heritage.
Throughfall and Litterfall Fluxes Reveal New Inputs and Foliar Cycling Maintain Pb, Cd, Cu, and Zn Pollution Legacy in Eastern U.S. Temperate Forests
Authors: Richardson Justin B. , Truong Minh Tri , Dobson Annise M.
Published: October 2024

Atmospheric pollution of metals negatively impacts the health of terrestrial and aquatic plants and animals. Despite implementation of policies that have substantially decreased emissions of metal pollutants, their legacy continues in temperate forest ecosystems across the globe. Here, we evaluated throughfall and litterfall concentrations and fluxes of Cu, Zn, Cd, and Pb via in rural temperate forests along the Appalachian Mountain range in eastern United States. Our five years of data show that throughfall fluxes of Cu, Cd, and Pb have decreased >89% since the 1980s. However, throughfall Zn and litterfall Cu, Zn, and Cd fluxes remain comparable or greater than the 1980s. These results suggest that Cd, Cu, and Pb emissions have decreased, but trees retain and recycle Cd, Cu, and Zn pollution, extending their legacy for decades following the emission.
Effect of Interrupting the Daily Scotophase Period on Laying Hen Performance, Bone Health, Behavior, and Welfare; Part I: Bone Health
Authors: Clark Alexis J. , Harrison Cerano , Bragg Ari J. , House Gabrielle M. , Stephan Aaron B. , Arguelles-Ramos Mireille , Ali Ahmed
Published: October 2024

Laying hens usually have 16 h of light and 8 h of darkness during egg laying, with eggshell formation primarily occurring during darkness when dietary calcium is lacking, leading to bone calcium resorption and osteoporosis. This study examined how interrupting the dark phase affects bone health in 396 Hy-line W36 hens assigned to control (C) or treatment groups (W1 and W2). All hens received 16 h of light and 8 h of darkness daily in different variations of scotophase interruption. Blood samples were taken at weeks 20, 30, 50, and 70, serum calcium was measured during darkness at two timepoints (SRT and END), and bone demineralization markers were examined using enzyme concentrations (TRACP-5b and CTX-I). Across weeks, tibias were CT-scanned for density (mg/cm3) and area (mm2), then used for breakage strength analysis (N) and ash%. No SRT Ca level differences emerged, but C hens had lower END Ca levels compared to W1 and W2 hens across all weeks, while W1 and W2 hens showed no significant differences. C hens displayed higher TRACP-5b and CTX-I concentrations across all weeks compared to W1 and W2 (all p ≤ 0.05). At week 70, C hens had the lowest cortical bone cross-sectional area and mineral density compared to W1 and W2 (all p ≤ 0.05). Tibiotarsi bone breakage strength was lower in C hens compared to W1 and W2. C hens had significantly lower ash% than treatment birds. Interrupting the scotophase period improved overall bone health in Hy-line W36 laying hens.
Evaluating the Efficacy of Psychiatric Interventions on Occupational Dysfunction in Major Depressive and Anxiety Disorder Patients
Authors: Iliou Kalliopi , Kouletsos Athanasios , Dokali Anna Maria , Katsiana Aikaterini , Georgiou Konstantinos
Published: October 2024

This study investigates the impact of psychiatric interventions on occupational dysfunction in patients with major depressive disorder (MDD) and anxiety disorder (AD). Occupational dysfunction is a significant concern in these populations, severely impairing the ability to perform daily activities and fulfill work and social roles. This research seeks to evaluate how different psychiatric interventions, including pharmacotherapy and psychotherapy, affect patients’ occupational performance and overall quality of life. This study analyzed data from outpatients diagnosed with MDD and AD based on ICD-10 criteria. Participants were assessed before and after intervention using scales that measure anxiety, depression, and occupational task difficulty. Results demonstrated a significant improvement in patients’ ability to perform a wide range of tasks, including personal hygiene, work-related activities, and social engagement, following treatment. The study highlights the importance of a multidisciplinary approach, emphasizing that both pharmacotherapy and psychotherapy significantly contribute to reducing occupational dysfunction and enhancing quality of life. These findings underscore the need for tailored interventions that address the specific occupational challenges faced by individuals with MDD and AD, aiming for long-term functional recovery.
Long-Term Effects of Single and Repeated Ketamine Infusions on Treatment-Resistant Depression: A Retrospective Chart Review Study
Authors: Sakopoulos Sofia , Hinz Lisa D.
Published: October 2024

Treatment-resistant depression (TRD) is a substantial public health burden with limited treatment options. Recent evidence suggests that single and repeated-dose ketamine infusions have rapid and significant antidepressant effects on individuals with TRD. Few studies have compared single or repeated (6) ketamine infusions past 14 days post-treatment. This retrospective chart review study investigated the long-term effects of single (n = 9) and repeated (6) (n = 5) high-dose (1 mg/kg) intravenous ketamine infusions on TRD 30 days post-infusion(s) (N = 14). Changes in depressive symptoms were measured by comparing Beck Depression Inventory (BDI-II) scores pre- and 30 days post-treatment for an understanding of long-term efficacy in clinical practice. Results indicated that ketamine has the potential to be an effective and enduring intervention for TRD, adding treatment and management options that are currently limited.
Holocene Climatic Changes in the Negev Desert (Israel): Pollen and Stable Isotopes (13C/12C and 15N/14N) Records from Atzmaut and Ramon I Zoogenic Deposits
Authors: Babenko Anna
Published: October 2024

Two zoogenic deposits from the central part of the Negev Desert (Israel) were investigated by stable isotopes (carbon 13C/12C and nitrogen 15N/14N) and pollen analyses. The merger of these data and results of radiocarbon dating of Atzmaut and Ramon I deposits enabled us to reconstruct climate and vegetation changes in the Negev Desert over the past 8500 years. Decrease of the δ13C value in plant remains is a sensitive indicator of paleoclimatic conditions in the region. The decline of the δ13C value over the past 8500 years almost fully coincides with an increase of the total pollen concentration, the proportion of Poaceae pollen in the profile of zoogenic deposits and wetter periods. Thus, four humid periods are identified, from the middle of the 4th millennium to the end of 3rd millennium BC, the 1st half of the 2nd millennium BC, from the 2nd half of the 1st millennium BC to the 1st half of the 1st millennium AD and the middle of the 2nd millennium AD. The δ15N value of plant remains is a less sensitive indicator of climate dynamics and represents the most significant change of precipitation in the region by the end of the 3rd millennium BC.
Nuclear Receptors: Mechanistic Insights into Endocrine Resistance in Prostate and Breast Cancers
Authors: Silva-Cázares Macrina Beatriz , Nuñez-Olvera Stephanie I. , Hernández-Barrientos Ricardo , Cortés-Malagón Enoc Mariano , Alvarez-Sánchez María Elizbeth , Puente-Rivera Jonathan
Published: October 2024

This review focuses on the pivotal roles of nuclear receptors (NRs) in driving endocrine resistance in prostate and breast cancers. In prostate cancer (PCa), androgen receptor (AR) amplification, mutations, and altered coactivator interactions sustain tumor growth under androgen deprivation therapy (ADT), leading to castration-resistant prostate cancer (CRPC). Orphan NRs like RORβ, TLX, and COUP-TFII further contribute to CRPC by regulating stemness and therapeutic resistance mechanisms. In breast cancer, NRs, including estrogen receptor alpha (ERα), androgen receptor (AR), glucocorticoid receptor (GR), and liver receptor homolog-1 (LRH-1), modulate estrogen signaling pathways and alternative survival mechanisms like PI3K/AKT/mTOR and NFκB, promoting resistance to endocrine therapies such as tamoxifen. Understanding these NR-mediated mechanisms is critical for developing targeted therapies to overcome endocrine resistance and improve patient outcomes in hormone-dependent cancers.
Wonders and Politics of the Chosŏn Dynasty: Reflections on the Unexplored Side of the Chosŏn Neo-Confucian System
Authors: Na Jonghyun
Published: October 2024

Wonder was deeply rooted in the Chosŏn Neo-Confucian system. Through this wonder, we can see various layers of consciousness of Neo-Confucian scholars. Exploring the use of the element of wonder in political and scholarly areas requires more than just looking at aspects that have been neglected. This task is meaningful in that it shows the multi-layers of Neo-Confucianism in the Chosŏn era. It also provides an opportunity to examine how Confucianism intersected with other religions of the time. This allowed Neo-Confucianism to be more closely aligned with the general views of Chosŏn society.
Religious Pilgrimage as a Tourist Attraction: The Case of Adriatic Maritime Pilgrimages in Nin and Perast
Authors: Katić Mario , Klarin Tomislav
Published: October 2024

Focusing on maritime pilgrimages to the Madonna of the Reef in Perast (Montenegro) and the Madonna of Zečevo in Nin (Croatia), the authors explore how tourism—which has become the primary economic driver for local populations—has impacted these centuries-old and deeply religious sites and practices. Local religious and cultural heritage, which has evolved into a tourist attraction, is deeply integrated into the local way of life, particularly within maritime and fishing communities. The shift in the dynamics of everyday life and the evolution of these sites and communities—now framed predominantly within the realm of tourism as the primary economic driver—has resulted in religious practices and pilgrimage sites transforming into tourist attractions. The research is divided into two segments. The initial phase, conducted between 2021 and 2023, involved group interviews using a consistent methodology and research instrument, engaging pertinent stakeholders from the respective local communities. The second segment involves a content analysis of websites promoting maritime pilgrimages and categorising them into two distinct groups: (1) websites of national, regional, and local tourist organisations responsible for promoting tourism in Croatia and Montenegro, and (2) Tripadvisor. The research and analysis indicate that local stakeholders lack the intention to promote and utilise maritime religious pilgrimage as a tourist attraction. While both maritime pilgrimages have undergone transformations and incorporated new elements, these changes are not primarily driven by tourism. Instead, they result from general shifts in everyday life.
How Can Preachers Use Luther in a Decolonial Multicultural Context?
Authors: Leitzke Timothy
Published: October 2024

This article seeks a way for preachers to use Martin Luther’s theology today without succumbing to Luther’s anti-Semitism. Its place in the discipline of homiletics is of hermeneutics and general sermon direction. I argue that Luther’s anti-Semitism is theological, and that in order to avoid anti-Semitism, Luther’s theology must be changed. I also argue that the concept of decoloniality offers a way forward, specifically in hybridizing Luther’s theology in today’s world.
Johannes Trithemius and Witches: Between Religion and Superstition
Authors: Lovison Giulia
Published: October 2024

This contribution reconstructs the reflection on witches of Johannes Trithemius (1462–1516), a German Benedictine who took up the pen on several occasions to declare against the spread of witchcraft and the need to solve this problem. The method adopted is to understand Trithemius’ thought from the analysis of his own works, specifically the Antipalus maleficiorum (1505–1508), the Liber octo quaestionum (1515) and what can be known of the De daemonibus (1507–1514). What will emerge will be an articulate reflection, which re-proposes the doctrine of the Malleus maleficarum (1486) enriched with original elements often drawn from popular superstitions. Thus, Trithemius proposes artifices to be immune from witches (e.g., apotropaic amulets) and provides specific indications on how to cure evil spells (exorcism), extending the dissertation to broader issues, such as the gender question, the relationship between witches and children (e.g., sacrifices, proselytes, victims) and developments in exorcism practice.
Rubicon Crossings: Working at the Margins of Ecotheology and Ecophenomenology
Authors: Carreras Piero
Published: October 2024

Trying to answer the challenges proposed by the Laudato si’ encyclical letter and its proposed “integral ecology,” this essay deals with the possible interactions between ecotheology, ecophenomenology, and cultural anthropology, outlining an interdisciplinary approach to Incarnation. In the first part, the core ideas of the aforementioned encyclical are discussed. In the second part, ecotheology is discussed as an answer to the critiques that see in Christianism a hindrance against a deeper ecological thought. The third part discusses ecophenomenology, while proposing to integrate within the debate some new theoretical proposals. The fourth part discusses how to “cross the Rubicon” between ecotheology and ecophenomenology, while also describing both limits and opportunities for such crossings. In the conclusions, some ideas for further research are proposed, in the sense of a layered theory of Incarnation.
“The Battle for Men’s Minds”: Subliminal Message as Conspiracy Theory in Seventh-Day Adventist Discourse
Authors: Novaes Allan
Published: October 2024

This article describes the presence of a subliminal thesis—with conspiratorial and apocalyptic content—in the discourse of the Seventh-day Adventist tradition based on a documentary analysis of Adventist publications from the 1900s to the 1990s. The history of the development of this thesis is classified into three periods: (1) Proto-Adventist Subliminal Thesis, from 1900s to 1940s, with a discourse of anti-spiritualist emphasis; (2) Adventist Subliminal Thesis’ First Wave, from 1950s to 1960s, with a discourse of anti-media emphasis in the context of James Vicary’s experiments in the 1950s; and (3) Adventist Subliminal Thesis’ Second Wave, from 1970s to 1990s, with a discourse of conspiratorial emphasis in the context of the satanic panic of the 1980s and 1990s. The Adventist subliminal thesis is configured in a way of thinking that considers (1) the human being as a “mass-man” and culture as “mass culture”; (2) the media as having the power of manipulation and mental control; (3) adherence to moral panic phenomena as reactions to media threats to traditional values; and (4) the cosmic narrative of the Great Controversy as a worldview for understanding media messages and products as part of a satanic conspiracy.
Seasonal Variations in the Rainfall Kinetic Energy Estimation and the Dual-Polarization Radar Quantitative Precipitation Estimation Under Different Rainfall Types in the Tianshan Mountains, China
Authors: Zeng Yong , Yang Lianmei , Tong Zepeng , Jiang Yufei , Abulikemu Abuduwaili , Lu Xinyu , Li Xiaomeng
Published: October 2024

Raindrop size distribution (DSD) has an essential effect on rainfall kinetic energy estimation (RKEE) and dual-polarization radar quantitative precipitation estimation (QPE); DSD is a key factor for establishing a dual-polarization radar QPE scheme and RKEE scheme, particularly in mountainous areas. To improve the understanding of seasonal DSD-based RKEE, dual-polarization radar QPE, and the impact of rainfall types and classification methods, we investigated RKEE schemes and dual-polarimetric radar QPE algorithms across seasons and rainfall types based on two classic classification methods (BR09 and BR03) and DSD data from a disdrometer in the Tianshan Mountains during 2020–2022. Two RKEE schemes were established: the rainfall kinetic energy flux–rain rate (KEtime–R) and the rainfall kinetic energy content–mass-weighted mean diameter (KEmm–Dm). Both showed seasonal variation, whether it was stratiform rainfall or convective rainfall, under BR03 and BR09. Both schemes had excellent performance, especially the KEmm–Dm relationship across seasons and rainfall types. In addition, four QPE schemes for dual-polarimetric radar—R(Kdp), R(Zh), R(Kdp,Zdr), and R(Zh,Zdr)—were established, and exhibited characteristics that varied with season and rainfall type. Overall, the performance of the single-parameter algorithms was inferior to that of the double-parameter algorithms, and the performance of the R(Zh) algorithm was inferior to that of the R(Kdp) algorithm. The results of this study show that it is necessary to consider different rainfall types and seasons, as well as classification methods of rainfall types, when applying RKEE and dual-polarization radar QPE. In this process, choosing a suitable estimator—KEtime(R), KEmm(Dm), R(Kdp), R(Zh), R(Kdp,Zdr), or R(Zh,Zdr)—is key to improving the accuracy of estimating the rainfall KE and R.
DSM Reconstruction from Uncalibrated Multi-View Satellite Stereo Images by RPC Estimation and Integration
Authors: Seo Dong-Uk , Park Soon-Yong
Published: October 2024

In this paper, we propose a 3D Digital Surface Model (DSM) reconstruction method from uncalibrated Multi-view Satellite Stereo (MVSS) images, where Rational Polynomial Coefficient (RPC) sensor parameters are not available. While recent investigations have introduced several techniques to reconstruct high-precision and high-density DSMs from MVSS images, they inherently depend on the use of geo-corrected RPC sensor parameters. However, RPC parameters from satellite sensors are subject to being erroneous due to inaccurate sensor data. In addition, due to the increasing data availability from the internet, uncalibrated satellite images can be easily obtained without RPC parameters. This study proposes a novel method to reconstruct a 3D DSM from uncalibrated MVSS images by estimating and integrating RPC parameters. To do this, we first employ a structure from motion (SfM) and 3D homography-based geo-referencing method to reconstruct an initial DSM. Second, we sample 3D points from the initial DSM as references and reproject them to the 2D image space to determine 3D–2D correspondences. Using the correspondences, we directly calculate all RPC parameters. To overcome the memory shortage problem while running the large size of satellite images, we also propose an RPC integration method. Image space is partitioned to multiple tiles, and RPC estimation is performed independently in each tile. Then, all tiles’ RPCs are integrated into the final RPC to represent the geometry of the whole image space. Finally, the integrated RPC is used to run a true MVSS pipeline to obtain the 3D DSM. The experimental results show that the proposed method can achieve 1.455 m Mean Absolute Error (MAE) in the height map reconstruction from multi-view satellite benchmark datasets. We also show that the proposed method can be used to reconstruct a geo-referenced 3D DSM from uncalibrated and freely available Google Earth imagery.
Visualizing Plant Responses: Novel Insights Possible Through Affordable Imaging Techniques in the Greenhouse
Authors: Conley Matthew M. , Hejl Reagan W. , Serba Desalegn D. , Williams Clinton F.
Published: October 2024

Efficient and affordable plant phenotyping methods are an essential response to global climatic pressures. This study demonstrates the continued potential of consumer-grade photography to capture plant phenotypic traits in turfgrass and derive new calculations. Yet the effects of image corrections on individual calculations are often unreported. Turfgrass lysimeters were photographed over 8 weeks using a custom lightbox and consumer-grade camera. Subsequent imagery was analyzed for area of cover, color metrics, and sensitivity to image corrections. Findings were compared to active spectral reflectance data and previously reported measurements of visual quality, productivity, and water use. Results confirm that Red–Green–Blue imagery effectively measures plant treatment effects. Notable correlations were observed for corrected imagery, including between yellow fractional area with human visual quality ratings (r = −0.89), dark green color index with clipping productivity (r = 0.61), and an index combination term with water use (r = −0.60). The calculation of green fractional area correlated with Normalized Difference Vegetation Index (r = 0.91), and its RED reflectance spectra (r = −0.87). A new chromatic ratio correlated with Normalized Difference Red-Edge index (r = 0.90) and its Red-Edge reflectance spectra (r = −0.74), while a new calculation correlated strongest to Near-Infrared (r = 0.90). Additionally, the combined index term significantly differentiated between the treatment effects of date, mowing height, deficit irrigation, and their interactions (p < 0.001). Sensitivity and statistical analyses of typical image file formats and corrections that included JPEG, TIFF, geometric lens distortion correction, and color correction were conducted. Findings highlight the need for more standardization in image corrections and to determine the biological relevance of the new image data calculations.
Lightweight Infrared Image Denoising Method Based on Adversarial Transfer Learning
Authors: Guo Wen , Fan Yugang , Zhang Guanghui
Published: October 2024

A lightweight infrared image denoising method based on adversarial transfer learning is proposed. The method adopts a generative adversarial network (GAN) framework and optimizes the model through a phased transfer learning strategy. In the initial stage, the generator is pre-trained using a large-scale grayscale visible light image dataset. Subsequently, the generator is fine-tuned on an infrared image dataset using feature transfer techniques. This phased transfer strategy helps address the problem of insufficient sample quantity and variety in infrared images. Through the adversarial process of the GAN, the generator is continuously optimized to enhance its feature extraction capabilities in environments with limited data. Moreover, the generator structure incorporates structural reparameterization technology, edge convolution modules, and progressive multi-scale attention block (PMAB), significantly improving the model’s ability to recognize edge and texture features. During the inference stage, structural reparameterization further optimizes the network architecture, significantly reducing model parameters and complexity and thereby improving denoising efficiency. The experimental results of public and real-world datasets demonstrate that this method effectively removes additive white Gaussian noise from infrared images, showing outstanding denoising performance.
UAV Trajectory Tracking Using Proportional-Integral-Derivative-Type-2 Fuzzy Logic Controller with Genetic Algorithm Parameter Tuning
Authors: Moali Oumaïma , Mezghani Dhafer , Mami Abdelkader , Oussar Abdelatif , Nemra Abdelkrim
Published: October 2024

Unmanned Aerial Vehicle (UAV)-type Quadrotors are highly nonlinear systems that are difficult to control and stabilize outdoors, especially in a windy environment. Many algorithms have been proposed to solve the problem of trajectory tracking using UAVs. However, current control systems face significant hurdles, such as parameter uncertainties, modeling errors, and challenges in windy environments. Sensitivity to parameter variations may lead to performance degradation or instability. Modeling errors arise from simplifications, causing disparities between assumed and actual behavior. Classical controls may lack adaptability to dynamic changes, necessitating adaptive strategies. Limited robustness in handling uncertainties can result in suboptimal performance. Windy environments introduce disturbances, impacting system dynamics and precision. The complexity of wind modeling demands advanced estimation and compensation strategies. Tuning challenges may necessitate frequent adjustments, posing practical limitations. Researchers have explored advanced control paradigms, including robust, adaptive, and predictive control, aiming to enhance system performance amidst uncertainties in a scientifically rigorous manner. Our approach does not require knowledge of UAVs and noise models. Furthermore, the use of the Type-2 controller makes our approach robust in the face of uncertainties. The effectiveness of the proposed approach is clear from the obtained results. In this paper, robust and optimal controllers are proposed, validated, and compared on a quadrotor navigating an outdoor environment. First, a Type-2 Fuzzy Logic Controller (FLC) combined with a PID is compared to a Type-1 FLC and Backstepping controller. Second, a Genetic Algorithm (GA) is proposed to provide the optimal PID-Type-2 FLC tuning. The Backstepping, PID-Type-1 FLC, and PID-Type-2 FLC with GA optimization are validated and evaluated with real scenarios in a windy environment. Deep robustness analysis, including error modeling, parameter uncertainties, and actuator faults, is considered. The obtained results clearly show the robustness of the optimal PID-Type-2 FLC compared to the Backstepping and PID-Type-1 FLC controllers. These results are confirmed by the numerical index of each controller compared to the PID-type-2 FLC, with 12% for the Backstepping controller and 51% for the PID-Type-1 FLC.
Classification of Breathing Phase and Path with In-Ear Microphones
Authors: Mehrban Malahat H. K. , Voix Jérémie , Bouserhal Rachel E.
Published: October 2024

In recent years, the use of smart in-ear devices (hearables) for health monitoring has gained popularity. Previous research on in-ear breath monitoring with hearables uses signal processing techniques based on peak detection. Such techniques are greatly affected by movement artifacts and other challenging real-world conditions. In this study, we use an existing database of various breathing types captured using an in-ear microphone to classify breathing path and phase. Having a small dataset, we use XGBoost, a simple and fast classifier, to address three different classification challenges. We achieve an accuracy of 86.8% for a binary path classifier, 74.1% for a binary phase classifier, and 67.2% for a four-class path and phase classifier. Our path classifier outperforms existing algorithms in recall and F1, highlighting the reliability of our approach. This work demonstrates the feasibility of the use of hearables in continuous breath monitoring tasks with machine learning.
Research on the NI-MLA Method for Enhancing the Spot Position Detection Accuracy of Quadrant Detectors Under Atmospheric Turbulence
Authors: Liu Zuoyu , Gao Shijie , Wu Jiabin , Chen Yunshan , Ma Lie , Yu Xichang , Wang Ximing , Li Ruipeng
Published: October 2024

The distorted spots induced by atmospheric turbulence significantly degrade the spot position detection accuracy of the quadrant detector (QD). In this paper, we utilize angular measurement and homogenization characteristics of non-imaging microlens array (NI-MLA) systems, effectively reducing the distortion degree of the spots received on the QD target surface, thereby significantly enhancing the spot detection accuracy of the QD. First, based on the principles of geometric optics and Fourier optics, it is proved that the NI-MLA system possesses the angular measurement characteristic (AMC) within the paraxial region while deriving and verifying the focal length of the system. Then, the QD computation curve characteristics of the system under non-turbulence are explored. This study further elucidates the mathematical principle of the NI-MLA system for mitigating the spot position detection random error of QD (SPDRE-QD) and discusses in depth the relationship between the NI-MLA system’s capability to mitigate the SPDRE-QD and the system’s parameters under various turbulence intensities. Finally, it is experimentally verified that the root-mean-square error (RMSE) of the QD computation values using the NI-MLA system are reduced by a significant improvement of at least 2.44 times and up to 17.36 times compared with that of the conventional optical system of QD (COS-QD) under turbulence conditions ranging from weak to strong.