bluuebunny/crossref_metadata_2025_split huggingface dataset:
Acetazolamide loaded-silver nanoparticles: A potential treatment for murine trichinellosis
Authors: Abdel Hamed E.F. , Taha A.A. , Abdel Ghany S.M. , Saleh A.A. , Fawzy E.M. 
Published: November 2023

Abstract
Trichinellosis is a global food-borne disease caused by viviparous parasitic nematodes of the genus Trichinella. Due to the lack of effective, safe therapy and the documented adverse effects of traditional therapy, this study aimed to evaluate the therapeutic effect of acetazolamide-loaded silver nanoparticles (AgNPs) on murine trichinellosis. Fifty male Swiss albino mice were divided into five groups of ten mice each: Group I, normal control group; Group II, infected with T. spiralis and not treated; Group III, infected and given AgNPs; Group IV, infected and treated with acetazolamide; and Group V, infected and treated with acetazolamide-loaded AgNPs. Mice were infected orally with 250 larvae. The efficacy was assessed by counting T. spiralis adults and larvae, measuring serum total antioxidant capacity, and observing the histopathological and ultrastructural alterations. Acetazolamide-loaded AgNPs treatment exhibited the highest percentage of reduction (84.72% and 80.74%) for the intestinal adults and the muscular larvae of T. spiralis-infected animals, respectively. Furthermore, during the intestinal and muscular phases, the serum of the same group had the best free-radical scavenging capacity (antioxidant capacity), which reduced tissue damage induced by oxidative stress. Histopathologically, the normal intestinal and muscular architecture was restored in the group treated with acetazolamide-loaded AgNPs, in addition to the reduced inflammatory infiltrate that alleviated inflammation compared to infected animals. Our results confirmed the marked destruction of the ultrastructural features of T. spiralis adults and larvae. Acetazolamide-loaded AgNPs are a promising therapy against T. spiralis infection.
Coping strategies for increased wellbeing and mental health among older adults during the COVID-19 pandemic – a Swedish qualitative study
Authors: Beckman Linda , Gustavsson Johanna 
Published: November 2023

Abstract
Older adults were particularly vulnerable to the COVID-19 pandemic, necessitating significant efforts to avoid contamination. This extraordinary situation posed an increased risk of mental pressure, and the ability to handle stressful situations is affected by several aspects. Therefore, this study aims to explore the coping strategies employed by older adults during the early months of the COVID-19 pandemic. A sample of 41 Swedish older adults aged 70–85 participated in phone interviews regarding their experiences with social distancing due to COVID-19. The interviews were conducted between April and May 2020, with nine follow-up interviews conducted in November and December 2020. The findings revealed results that despite the challenging circumstances, the participants demonstrated a strong mindset and resilience. Strategies utilised to improve their wellbeing and manage the situation included following recommendations, accepting the situation and maintaining a positive outlook. The influence of previous experiences on their coping strategies was evident. Additionally, the participants expressed a longing for their relatives and a need to adopt new technologies to manage their everyday lives. The follow-up interviews indicated no significant changes in worry or behaviour; if anything, participants were less worried at the beginning of the pandemic. This study contributes to the ongoing discussion on vulnerability among older adults by highlighting the diverse range of coping strategies employed during a prolonged crisis such as the COVID-19 pandemic. It demonstrated that though they are medically vulnerable, they are situationally resilient and, in many ways, well set to handle a challenging situation. During crises, older adults might need practical assistance. On the other hand, they can be a resource regarding mental preparedness during crises. Further research should explore the possibilities of balancing the needs of older adults and, at the same time, viewing them as a resource during long-time crises.
Life stories from lonely older adults: the role of precipitating events and coping strategies throughout the lifecourse
Authors: Switsers Lise , Stegen Hannelore , Dierckx Eva , Heylen Leen , Dury Sarah , De Donder Liesbeth 
Published: November 2023

AbstractPrevious research has highlighted the importance of past life experiences in the theoretical and conceptual understanding of loneliness. However, adding a lifecourse perspective to loneliness research remains underexplored. To comprehend the complexity of loneliness in old age, it is crucial to pay attention to the lifecourse perspective. This study addresses an important lifecourse perspective on loneliness through an in-depth, narrative approach. Building on the cognitive discrepancy theory, this study examines how precipitating events and coping strategies throughout the lifecourse may influence current feelings of loneliness in older adults. We qualitatively examined the experienced lifecourse of 20 lonely older adults living in Belgium by applying a modified version of the McAdams life-story interview scheme. Next, we conducted eight member-check interviews. A first finding provided insight into the importance of precipitating events during the lifecourse for current loneliness. The results pointed not only to the lifelong impact of events during childhood and adulthood, which may lead to vulnerability to loneliness later in life: unrealised life events (e.g.not being able to have children) as well as events with no impact earlier in life nevertheless turned out to be relevant in the emergence of loneliness later in life. Second, the narratives revealed that several older adults who experienced loneliness earlier and later in life continued to use the same coping strategies throughout the lifecourse, whereas by contrast some older adults adapted their coping strategies based on previous experiences and improved their loneliness-coping skills. It also appeared that changes in people's resources, such as the presence of physical limitations, may make it more difficult to cope with loneliness in later life. The discussion makes a plea for lifelong prevention of and attention to loneliness.
From Crowdfunding to Crowd Mobilization: The Impact of Digital Philanthropy on Grassroots Organizations and Local Politics in China
Authors: Han Ling , Lee Chengpang , Song Qi 
Published: November 2023

Abstract
The recent emergence of online crowdfunding campaigns has transformed the charitable landscape in China. This paper examines the participation of one county-level grassroots nonprofit organization (SW) in Tencent's 99 Giving Day to reveal a paradox of organizational success in online crowdfunding, namely that local nonprofits have to wage corresponding offline campaigns with the support of the local government, and thus must co-evolve with local politics. While the online charitable campaign played a crucial role in the founding and professionalization of SW, the successful campaign was soon co-opted by the local government as a source of welfare soft-budgeting and performance management. To ensure the ongoing success of the three-day campaign, the online crowdfunding was transformed into a large-scale offline mobilization. We find that although crowdfunding creates new opportunities for rural grassroots organizations, these organizations must balance dual pressures from both the platform and the local government to successfully crowdfund online.
A framework of marine collision risk identification strategy using AIS data
Authors: Ma Xiaofei , Shi Guoyou , Shi Jiahui , Liu Jiao 
Published: November 2023

AbstractCollisions are one of the major accidents in the shipping industry, causing significant losses. In this work, a framework of marine collision risk identification strategy was developed to quantitatively analyse collision risks and provide an easy and convenient way to monitor traffic flow in relevant waters to mitigate the chances of collision. The model was verified by using automatic identification system data obtained from Tianjin Port. When compared to previous research, the proposed model can identify risks earlier and give people more time to analyse and take action. The results indicate that it also can provide a visual display to alert relevant personnel. The model can be used as a reference to identify potential collision risks or as an information source for future research.
A Less Bad Theory of the Procreation Asymmetry and the Non-Identity Problem
Authors: Aaron Jonas H. 
Published: November 2023

AbstractThis paper offers a unified explanation for the procreation asymmetry and the non-identity thesis – two of the most intractable puzzles in population ethics. According to the procreation asymmetry, there are moral reasons not to create lives that are not worth living but no moral reasons to create lives that are worth living. I explain the procreation asymmetry by arguing that there are moral reasons to prevent the bad, but no moral reasons to promote the good. Various explanations for the procreation asymmetry have failed to explain the non-identity thesis: if one could create a person with a good life or a different person with a better life, one has a moral reason to create the better life. I argue that reflections on the misfortune of unfulfilled potential allow us to circumvent the non-identity problem.
I Can’t See You; Can You Hear Me? Gender Norms and Context During In-Person and Teleconference U.S. Supreme Court Oral Arguments
Authors: Gleason Shane A. 
Published: November 2023

AbstractFemale attorneys at the U.S. Supreme Court are less successful than male attorneys under some conditions because of gender norms, implicit expectations about how men and women should act. While previous work has found that women are more successful when they use more emotional language at oral arguments, gender norms are context sensitive. The COVID-19 pandemic prompted perhaps the most radical contextual shift in Supreme Court history: freewheeling in-person arguments were replaced with turn-based teleconference arguments. This change altered judicial decision-making and, I argue, justices’ assessments of attorneys’ gender performance. Using quantitative textual analysis of oral arguments, I demonstrate that justices implicitly evaluate gender performance with different metrics in each modality. Gender-normative levels of emotional language predict success in both formats. Function words, however, only predict success in teleconference arguments. Given gender’s salience at the Supreme Court and in broader society, my findings prompt questions about the extent to which women can substantively impact case law.
ResU‐Deep: Improving the Trigger Function of Deep Convection in Tropical Regions With Deep Learning
Authors: Chen Mengxuan , Fu Haohuan , Zhang Tao , Wang Lanning 
Published: November 2023

AbstractModeling deep convection accurately in tropical regions is important. However, biases remain in current trigger functions. To alleviate the overestimation of frequency and wrong depiction of the diurnal cycle, we propose a deep convection trigger function, ResU‐Deep, based on the framework of U‐net with three modifications to better suit the problem of deep convection identification: (a) adding the upsampling process into the encoder part, (b) replacing the double convolution block with a residual‐convolutional block, and (c) adding a dynamic weight into the loss function. Thirty‐three environmental variables within tropical regions are used in ResU‐Deep, including 31 features from ECMWF atmospheric reanalysis (ERA5) data set, and two historical convection fields. Tropical Rainfall Measuring Mission 3B42 data set is used as the precipitation observation. Central America, North Africa, South and East Asia, and West Pacific Ocean within 0°∼30°N are selected as the study regions for the high frequency of deep convection activities. ResU‐Deep, incorporating the surrounding information, is separately trained and evaluated in four regions and has the F1‐scores of 58%, 53%, 60%, and 63% for the occurrence, outperforming the single‐column‐based machine learning methods. Also, a unified model has similar performance in four regions. Further comparisons are made with convective available potential energy‐based trigger functions in Southern Great Plains. Results show that ResU‐Deep can capture the trends and peaks of diurnal cycles on complex terrains in large regions. According to feature importance test, the contribution levels of environmental features are different in four regions, indicating the model can learn the mechanisms of deep convection in specific region, thus improving the prediction accuracy.
High Production of Gigantic Jets by a Thunderstorm Over Indian Ocean
Authors: Soula Serge , Mlynarczyk Janusz , van der Velde Oscar , Montanya Joan , Leclerc Emmanuel 
Published: November 2023

AbstractThirteen gigantic jets (GJ) were observed on 12 February 2020, with a sensitive video camera located at Maïdo Observatory, La Réunion Island in Indian Ocean. They were produced within 68 min by nearby cells embedded in a convective system almost 500 km from Maïdo. The video imagery combined with the lightning activity from GLD360, the cloud top temperature (CTT), the ELF radiations, and the reanalysis of several meteorological parameters allow us to analyze their characteristics and their conditions of production. The altitudes for 12 GJ events are estimated between 85 and 89 km. All jets are of negative polarity and most of them preceded by a positive stroke/pulse in the discharge event. They are produced in sequences of a few minutes, during short pulses of convection within cells in phase of development and associated with dominant positive cloud‐to‐ground lightning flashes. The most luminous GJ produced the strongest Current Moment (CM) maximum, close to 280 kA km, and the largest Charge Moment Change (CMC). The CMCs associated with the GJ events range from about 1,000 C km to close to 5,500 C km, especially thanks to the CM during the trailing phase. Several GJ events exhibit a double structure with two jets slightly shifted in space, most of them occurring within the same field of the video imagery. The environment of this exceptional storm in terms of GJ production, exhibits extreme values of various parameters known to be favorable for GJ production, especially related to the warm cloud depth.
Modulating the dynamics of NFκB and PI3K enhances the ensemble-level TNFR1 signaling mediated apoptotic response
Authors: Sherekar Shubhank , Todankar Chaitra S. , Viswanathan Ganesh A. 
Published: November 2023

AbstractCell-to-cell variability during TNFα stimulated Tumor Necrosis Factor Receptor 1 (TNFR1) signaling can lead to single-cell level pro-survival and apoptotic responses. This variability stems from the heterogeneity in signal flow through intracellular signaling entities that regulate the balance between these two phenotypes. Using systematic Boolean dynamic modeling of a TNFR1 signaling network, we demonstrate that the signal flow path variability can be modulated to enable cells favour apoptosis. We developed a computationally efficient approach “Boolean Modeling based Prediction of Steady-state probability of Phenotype Reachability (BM-ProSPR)” to accurately predict the network’s ability to settle into different phenotypes. Model analysis juxtaposed with the experimental observations revealed that NFκB and PI3K transient responses guide the XIAP behaviour to coordinate the crucial dynamic cross-talk between the pro-survival and apoptotic arms at the single-cell level. Model predicted the experimental observations that ~31% apoptosis increase can be achieved by arresting Comp1 – IKK* activity which regulates the NFκB and PI3K dynamics. Arresting Comp1 – IKK* activity causes signal flow path re-wiring towards apoptosis without significantly compromising NFκB levels, which govern adequate cell survival. Priming an ensemble of cancerous cells with inhibitors targeting the specific interaction involving Comp1 and IKK* prior to TNFα exposure could enable driving them towards apoptosis.
Cryo-EM of Aβ fibrils from mouse models find tg-APPArcSwe fibrils resemble those found in patients with sporadic Alzheimer’s disease
Authors: Zielinski Mara , Peralta Reyes Fernanda S. , Gremer Lothar , Schemmert Sarah , Frieg Benedikt , Schäfer Luisa U. , Willuweit Antje , Donner Lili , Elvers Margitta , Nilsson Lars N. G. , Syvänen Stina , Sehlin Dag , Ingelsson Martin , Willbold Dieter , Schröder Gunnar F. 
Published: November 2023

AbstractThe use of transgenic mice displaying amyloid-β (Aβ) brain pathology has been essential for the preclinical assessment of new treatment strategies for Alzheimer’s disease. However, the properties of Aβ in such mice have not been systematically compared to Aβ in the brains of patients with Alzheimer’s disease. Here, we determined the structures of nine ex vivo Aβ fibrils from six different mouse models by cryogenic-electron microscopy. We found novel Aβ fibril structures in the APP/PS1, ARTE10 and tg-SwDI models, whereas the human type II filament fold was found in the ARTE10, tg-APPSwe and APP23 models. The tg-APPArcSwe mice showed an Aβ fibril whose structure resembles the human type I filament found in patients with sporadic Alzheimer’s disease. A detailed assessment of the Aβ fibril structure is key to the selection of adequate mouse models for the preclinical development of novel plaque-targeting therapeutics and positron emission tomography imaging tracers in Alzheimer’s disease.
Non-Markovian cost function for quantum error mitigation with Dirac Gamma matrices representation
Authors: Ahn Doyeol 
Published: November 2023

AbstractThis paper investigates the non-Markovian cost function in quantum error mitigation (QEM) and employs Dirac Gamma matrices to illustrate two-qubit operators, significant in relativistic quantum mechanics. Amid the focus on error reduction in noisy intermediate-scale quantum (NISQ) devices, understanding non-Markovian noise, commonly found in solid-state quantum computers, is crucial. We propose a non-Markovian model for quantum state evolution and a corresponding QEM cost function, using simple harmonic oscillators as a proxy for environmental noise. Owing to their shared algebraic structure with two-qubit gate operators, Gamma matrices allow for enhanced analysis and manipulation of these operators. We evaluate the fluctuations of the output quantum state across various input states for identity and SWAP gate operations, and by comparing our findings with ion-trap and superconducting quantum computing systems' experimental data, we derive essential QEM cost function parameters. Our findings indicate a direct relationship between the quantum system's coupling strength with its environment and the QEM cost function. The research highlights non-Markovian models' importance in understanding quantum state evolution and assessing experimental outcomes from NISQ devices.
Infants are sensitive to the social signaling value of shared inefficient behaviors
Authors: Bas Jesús , Mascaro Olivier 
Published: November 2023

AbstractActions that are blatantly inefficient to achieve non-social goals are often used to convey information about agents’ social affiliation, as in the case of rituals. We argue that when reproduced, actions that are individually inefficient acquire a social signaling value owing to the mechanisms that support humans’ intuitive analysis of actions. We tested our hypothesis on 15-month-old infants who were familiarized with an agent that reproduced or merely observed the actions of efficient and inefficient individuals. Subsequently, we measured the infants' expectations of the agent’s preferences for efficient and inefficient individuals. Our results confirmed that when agents act alone, infants expect a third-party to prefer efficient over inefficient agents. However, this pattern is entirely flipped if the third-party reproduces the agents’ actions. In that case, infants expect inefficient agents to be preferred over efficient ones. Thus, reproducing actions whose rational basis is elusive can serve a critical social signaling function, accounting for why such behaviors are pervasive in human groups.
Mobile applications in radiology: own study based on polish data
Authors: Kufel Jakub , Bargieł Katarzyna , Koźlik Maciej , Bartnikowska Wiktoria , Janik Michał , Czogalik Łukasz , Dudek Piotr , Krawczyk Dariusz , Magiera Mikołaj , Cebula Maciej , Nawrat Zbigniew , Gruszczyńska Katarzyna 
Published: November 2023

AbstractAs the number of smartphones increases, so does the number of medical apps. Medical mobile applications are widely used in many medical fields by both patients and doctors. However, there are still few approved mobile applications that can be used in the diagnostic-therapeutic process and radiological apps are affected as well. We conducted our research by classifying radiological applications from the Google Play® store into appropriate categories, according to our own qualification system developed by researchers for the purposes of this study. In addition, we also evaluated apps from the App Store®. The radiology application rating system we created has not been previously used in other articles. Out of 228 applications from the Google Play store, only 6 of them were classified as “A” category with the highest standard. Apps from the App Store (157) were not categorized due to the lack of download counts, which was necessary in our app-rating system. The vast majority of applications are for educational purposes and are not used in clinical practice. This is due to the need of obtaining special permits and certificates from relevant institutions in order to use them in medical practice. We recommend applications from the Google Play store that have been classified in the “A” category, evaluating them as the most valuable. App Store apps data is described and presented in the form of diagrams and tables.