bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interferon‐gamma contributes to disease progression in the Ndufs4(−/−) model of Leigh syndrome
Authors: Hanaford Allison R. , Khanna Asheema , James Katerina , Truong Vivian , Liao Ryan , Chen Yihan , Mulholland Michael , Kayser Ernst‐Bernhard , Watanabe Kino , Hsieh Erin Shien , Sedensky Margaret , Morgan Philip G. , Kalia Vandana , Sarkar Surojit , Johnson Simon C. 
Published: April 2024

AbstractAimLeigh syndrome (LS), the most common paediatric presentation of genetic mitochondrial dysfunction, is a multi‐system disorder characterised by severe neurologic and metabolic abnormalities. Symmetric, bilateral, progressive necrotizing lesions in the brainstem are defining features of the disease. Patients are often symptom free in early life but typically develop symptoms by about 2 years of age. The mechanisms underlying disease onset and progression in LS remain obscure. Recent studies have shown that the immune system causally drives disease in the Ndufs4(−/−) mouse model of LS: treatment of Ndufs4(−/−) mice with the macrophage‐depleting Csf1r inhibitor pexidartinib prevents disease. While the precise mechanisms leading to immune activation and immune factors involved in disease progression have not yet been determined, interferon‐gamma (IFNγ) and interferon gamma‐induced protein 10 (IP10) were found to be significantly elevated in Ndufs4(−/−) brainstem, implicating these factors in disease. Here, we aimed to explore the role of IFNγ and IP10 in LS.MethodsTo establish the role of IFNγ and IP10 in LS, we generated IFNγ and IP10 deficient Ndufs4(−/−)/Ifng(−/−) and Ndufs4(−/−)/IP10(−/−) double knockout animals, as well as IFNγ and IP10 heterozygous, Ndufs4(−/−)/Ifng(+/−) and Ndufs4(−/−)/IP10(+/−), animals. We monitored disease onset and progression to define the impact of heterozygous or homozygous loss of IFNγ and IP10 in LS.ResultsLoss of IP10 does not significantly impact the onset or progression of disease in the Ndufs4(−/−) model. IFNγ loss significantly extends survival and delays disease progression in a gene dosage‐dependent manner, though the benefits are modest compared to Csf1r inhibition.ConclusionsIFNγ contributes to disease onset and progression in LS. Our findings suggest that IFNγ targeting therapies may provide some benefits in genetic mitochondrial disease, but targeting IFNγ alone would likely yield only modest benefits in LS.
A prospective randomized comparative trial of pediatric C‐MAC D‐blade video laryngoscope with McCoy direct laryngoscope for intubation in children posted for elective surgical procedures under general anesthesia
Authors: Kamal Geeta , Agarwal Divyamedha , Agarwal Shilpa , Gupta Anju , Gupta Aikta , Kalra Bhumika , Gupta Nishkarsh 
Published: April 2024

AbstractBackgroundPediatric airway management requires careful clinical evaluation and experienced execution due to anatomical, physiological, and developmental considerations. Video laryngoscopy in pediatric airways is a developing area of research, with recent data suggesting that video laryngoscopes are better than standard Macintosh blades. Specifically, there is a paucity of literature on the advantages of the C‐MAC D‐blade compared to the McCoy direct laryngoscope.MethodsAfter Ethics Committee approval, 70 American Society of Anesthesiologists physical status 1 and 2 children aged 4–12 years scheduled for elective surgery under general anesthesia were recruited. Patients were randomly allocated to intubation using a C‐MAC video laryngoscope size 2 D‐blade (Group 1) and a McCoy laryngoscope size 2 blade (Group 2). The Intubation Difficulty Scale (IDS) for ease of intubation was the primary outcome, while Cormack–Lehane grades, duration of laryngoscopy and intubation, hemodynamic responses, and incidence of any airway complications were secondary outcomes.ResultsBoth groups were comparable in terms of patient characteristics. The median (IQR) Intubation Difficulty Scale (IDS) score was better but was statistically nonsignificant with C‐MAC (0 [0–0] vs. 0 [0–2], p = .055). The glottic views were superior (CL grade I in 32/35 vs. 23/35, p = .002), and the time to best glottic view (6 s [5–7] vs. 8.0 s [6–10], p = .006) was lesser in the C‐MAC D‐blade group while the total duration of intubation was comparable (20 s [16–22] vs. 18 s [15–22], p = .374). All the patients could be successfully intubated on the first attempt. None of the patients had any complications.ConclusionThe C‐MAC video laryngoscope size 2 D‐blade provided faster and better glottic visualization but similar intubation difficulty compared to McCoy size 2 laryngoscope in children. The shorter time to achieve glottic view demonstrated with the C‐MAC failed to translate into a shorter total duration of intubation when compared to the McCoy laryngoscope attributable to a pronounced curvature of the D‐blade.
The MdVQ37‐MdWRKY100 complex regulates salicylic acid content and MdRPM1 expression to modulate resistance to Glomerella leaf spot in apples
Authors: Dong Qinglong , Duan Dingyue , Wang Feng , Yang Kaiyu , Song Yang , Wang Yongxu , Wang Dajiang , Ji Zhirui , Xu Chengnan , Jia Peng , Luan Haoan , Guo Suping , Qi Guohui , Mao Ke , Zhang Xuemei , Tian Yi , Ma Yue , Ma Fengwang 
Published: April 2024

SummaryGlomerella leaf spot (GLS), caused by the fungus Colletotrichum fructicola, is considered one of the most destructive diseases affecting apples. The VQ‐WRKY complex plays a crucial role in the response of plants to biotic stresses. However, our understanding of the defensive role of the VQ‐WRKY complex on woody plants, particularly apples, under biotic stress, remains limited. In this study, we elucidated the molecular mechanisms underlying the defensive role of the apple MdVQ37‐MdWRKY100 module in response to GLS infection. The overexpression of MdWRKY100 enhanced resistance to C. fructicola, whereas MdWRKY100 RNA interference in apple plants reduced resistance to C. fructicola by affecting salicylic acid (SA) content and the expression level of the CC‐NBS‐LRR resistance gene MdRPM1. DAP‐seq, Y1H, EMSA, and RT‐qPCR assays indicated that MdWRKY100 inhibited the expression of MdWRKY17, a positive regulatory factor gene of SA degradation, upregulated the expression of MdPAL1, a key enzyme gene of SA biosynthesis, and promoted MdRPM1 expression by directly binding to their promotors. Transient overexpression and silencing experiments showed that MdPAL1 and MdRPM1 positively regulated GLS resistance in apples. Furthermore, the overexpression of MdVQ37 increased the susceptibility to C. fructicola by reducing the SA content and expression level of MdRPM1. Additionally, MdVQ37 interacted with MdWRKY100, which repressed the transcriptional activity of MdWRKY100. In summary, these results revealed the molecular mechanism through which the apple MdVQ37‐MdWRKY100 module responds to GLS infection by regulating SA content and MdRPM1 expression, providing novel insights into the involvement of the VQ‐WRKY complex in plant pathogen defence responses.
Transnational Quaker pacifism and the International Fellowship of Reconciliation. A qualitative case study of two network nodes connecting Finland to Scandinavia and the Anglo‐Saxon world 1919–1961
Authors: Ojajärvi Rony 
Published: April 2024

AbstractIn this article, I will ask, how the international networks of peace movements have influenced the development of Quaker pacifism in Fenno‐Scandinavia. The question is answered with qualitative social network analysis when analyzing the vocational development of two Quaker network nodes, Greta Langenskjöld (1889–1975) and Deryck Sivén (1913–2002). Based on the analysis, I argue that the International Fellowship of Reconciliation provided the most important transnational social network to introduce Quakerism to Fenno‐Scandinavia. Before this, Evangelicalism, Tolstoian Christian anarchism, and Theosophist socialism had molded the ground fitting for the Quaker‐Socialist networks of the IFOR.
The relationship between cardiorespiratory fitness and inhibitory control following acute stress: An ERP study
Authors: Chu Chien‐Heng , Huang I‐Lun , Hillman Charles H. , Chen Nai‐Chi , Yu Jeffrey , Hung Chen‐Sin , Chen Feng‐Tzu , Chang Yu‐Kai 
Published: April 2024

AbstractAlthough the relationships among acute stress, cardiorespiratory fitness (CRF), and cognitive function have been examined, whether CRF is related to behavioral and neuroelectric indices of inhibitory control following acute stress remains unknown. The purpose of the current study was to investigate the combined influence of acute stress and CRF on inhibitory control. Participants, aged 20–30 years, were stratified into the Higher‐Fit (n = 31) and the Lower‐Fit (n = 32) groups, and completed a Stroop task following the modified Maastricht Acute Stress Test (MAST) in the stress condition and the sham‐MAST in the non‐stress condition, during which electroencephalography was recorded. Behavioral (i.e., response time and accuracy) and neuroelectric (N2 and P3b components of the event‐related potential) outcomes of inhibitory control were obtained. While the Higher‐Fit group demonstrated shorter response times and higher accuracy than the Lower‐Fit group following both the MAST and the sham‐MAST, they also exhibited selective benefits of acute stress on inhibitory control performance (i.e., decreased response times and diminished interference scores). CRF‐dependent alterations in neuroelectric indices were also observed, with the Higher‐Fit group displaying smaller N2 and greater P3b amplitudes than the Lower‐Fit group following the sham‐MAST, and increased N2 and attenuated P3b amplitudes following the MAST. Collectively, these findings not only confirm the positive relationship between CRF and inhibitory control but also provide novel insights into the potential influence of CRF on inhibitory control and associated neuroelectric activity following acute stress.
Multivariate logistic regression analysis of poor prognosis of dermatomyositis and clinical value of ferritin/Kl‐6 in predicting prognosis
Authors: Yan Lei , Shi Yuquan , Wu Chunye , Li Yuan 
Published: April 2024

AbstractBackgroundDermatomyositis (DM) is a rare inflammatory disease. Our research focuses on predicting poor prognosis in DM patients and evaluating the prognostic significance of ferritin and Salivary Sugar Chain Antigen‐6 (KL‐6) through multivariate logistic regression analysis.MethodsBetween February 2018 and April 2020, 80 DM patients at our hospital were categorized into MDA5 positive (n = 20) and negative (n = 60) groups. We conducted multivariate logistic regression to determine DM's poor prognosis risk factors and evaluate ferritin/KL‐6′s predictive value for prognosis.ResultsAnalysis showed no gender, age, body mass index (BMI), or lifestyle (smoking, drinking) differences, nor in dyspnea, muscle weakness, skin ulcers, and acetylcysteine treatment effects (p > 0.05). Significant differences emerged in arrhythmias, interstitial pneumonia, C‐reactive protein, albumin, and lactate dehydrogenase levels (p < 0.05). Before treatment, differences were negligible (p > 0.05), but post‐treatment, serum KL‐6 and ferritin levels dropped. MDA5 positive patients had elevated serum KL‐6 and ferritin levels than survivors (p < 0.05), with a strong correlation to DM. Combined diagnosis using serum KL‐6 and ferritin for DM prognosis showed area under curves of 0.716 and 0.634, significantly outperforming single‐index diagnoses with an area under curve (AUC) of 0.926 (p < 0.05).ConclusionSerum KL‐6 and ferritin show marked abnormalities in DM, useful as indicators for evaluating polymyositis and DM conditions. However, the study's small sample size is a drawback. Expanding the sample size is essential to monitor serum KL‐6 and ferritin changes in DM patients under treatment more closely, aiming to improve clinical assessment and facilitate detailed research.
Post‐Harvest Travels of Marine Fish: How Small Fish Food Systems Variously Support Food Security and Nutrition in Coastal and Inland Cities in Ghana
Authors: Ahwireng Anderson K. , Bavinck Maarten , Onumah Edward Ebo , Pouw Nicky , Nunoo Francis K. E. 
Published: April 2024

AbstractThis paper enquires into the travels of low‐cost varieties of marine fish in the context of Ghana, distinguishing flows that move toward coastal cities versus those destined for distant, inland cities. It derives data from field research on the Ghanaian small fish food system through surveys, FGDs and interviews conducted in Accra and Tamale. It is argued that although both coastal and inland cities partake in small fish food systems, they experience different flow patterns and FSN outcomes. These are partly related to the fact that Ghana relies on the confluence of local and imported sources for the delivery of low‐cost fish varieties to the population, especially in urban regions where such demand is high. We recommend that policies should focus on investing in infrastructure, especially transport and distribution systems linking cities to fishing communities, to enhance low‐cost fish distribution and improve FSN outcomes for low‐income urban consumers in Ghana.
Characterization of the dissemination of canine cancer misinformation on YouTube
Authors: Richartz Eliza R. , Hodgkiss Brittany A. , Black‐Ocken Noah C. , Fuentes Rebecca A. , Looper Jayme S. , Withers Sita S. 
Published: April 2024

AbstractYouTube is the third most popular app in the world and continues to grow each year while it reaches over 2 billion users a month. A variety of veterinary topics are addressed on YouTube but to date there have been no studies analysing misinformation of various canine cancer topics on YouTube or social media. This study described the characteristics of 99 unique videos and used the validated DISCERN quality criteria for consumer health information and the Patient Education Materials Assessment Tool (PEMAT) to characterize their usefulness. The overall median DISCERN quality score was 3 (out of 5), the median PEMAT understandability score was 72%, and 61% of videos contained little to no misinformation. 53% of videos were created by veterinarians and this subset had significantly higher PEMAT understandability and DISCERN quality scores compared with client‐created content (p = .0228 and p ≤ .0001, respectively). Videos with little to no misinformation had statistically significant higher DISCERN quality scores (3 vs. 2, p = .0001). There was no statistical significance between misinformation levels and video length, PEMAT understandability, thumbs up/view, or views/mo. These data reveal similar rates of misinformation in videos on canine cancer compared to that reported for various human cancer topics. This study highlights the need for veterinarians to guide clients to more reliable and understandable information regarding their pet's health.
Stability estimates for the Vlasov–Poisson system in p$p$‐kinetic Wasserstein distances
Authors: Iacobelli Mikaela , Junné Jonathan 
Published: April 2024

AbstractWe extend Loeper's ‐estimate (Theorem 2.9 in J. Math. Pures Appl. (9) 86 (2006), no. 1, 68–79) relating the force fields to the densities for the Vlasov–Poisson system to , with , based on the Helmholtz–Weyl decomposition. This allows us to generalize both the classical Loeper's 2‐Wasserstein stability estimate (Theorem 1.2 in J. Math. Pures Appl. (9) 86 (2006), no. 1, 68–79) and the recent stability estimate by the first author relying on the newly introduced kinetic Wasserstein distance (Theorem 3.1 in Arch Rational Mech. Anal. 244 (2022), no. 1, 27–50) to kinetic Wasserstein distances of order .
Digital Twin in Process Planning of the Additive and Subtractive Process Chain for Laser Metal Deposition and Micro Milling of Stainless Steel
Authors: Denkena Berend , Wichmann Marcel , Malek Talash , Nguyen Hai Nam , Kato Makoto , Isshiki Kaito , Koike Ryo , Kakinuma Yasuhiro 
Published: April 2024

Abstract
Additive and subtractive (Add/Sub) manufacturing processes are increasingly being combined to produce complex parts with unique geometries and properties. However, the design of such combined processes is often challenging as it requires a deep understanding of the interaction between the different processes. On the other hand, digital twin (DT) technology has become a powerful tool in recent years for optimizing manufacturing processes. This article explores the use of the digital twin technology for a holistic process planning of combined additive and subtractive processes. The article describes the integration of laser metal deposition (LMD) and micro-milling prediction models of resulting geometry (width and height), hardness, and surface roughness into the digital twin. This is then used for combined process planning to achieve different target values regarding resulting geometry and surface roughness. For the planning of this combined process chain, further criteria such as tool life, energy, and process time are considered in the optimization, showing the potential for sustainable and efficient production. Sensorless cutting force estimation is also used to detect small cutting forces, with the potential to use this as a soft sensor for roughness estimation. The measured width, height, and roughness as a result of the process parameters suggested by the optimization algorithms showed a mean absolute percentage error (MAPE) of 4, 17, and 16%, respectively.
Impact of Real-Time Blind Slat Angle Control on Reducing Total Energy Consumption of a Library Building Using an Optimized Artificial Neural Network Model: A Case Study of the Six Moroccan Thermal Zones
Authors: El Alaoui Meryem , Oukmi Hasna , Chahidi Laila Ouazzani , Rougui Mohammed 
Published: April 2024

Abstract
The prevalence of extensive glazed areas in contemporary buildings contributes significantly to solar radiation infiltration, elevating energy demands and causing discomfort for occupants. Window shading devices play a pivotal role in addressing this challenge. This paper presents the development and optimization of an artificial neural network (ANN) predictive model, designed to enable real-time control of slat angles by predicting total energy loads, specifically during summer (for cooling and lighting purposes). The refined model demonstrates high precision, achieving a normalized root mean square error (nRMSE) of approximately 1.72% and a correlation coefficient (R) of around 0.999, despite utilizing limited meteorological data. Key inputs for the model include solar radiation, solar altitude, and external temperature, with a particular focus on slat reflectivity. The study assesses the efficiency of three slat types based on their reflectivity: high (80%), medium (50%), and low (20%). Additionally, the research explores the impact of window-to-wall ratio (WWR) values on the control system's efficacy, revealing a positive correlation between higher WWR values and improved energy savings through ANN slat angle control. Furthermore, the study extends the applicability of the ANN model to the six thermal zones in Morocco, affirming its generalization across diverse environmental conditions.
Effects of Channel Flow Blockage on Metal Foam Heat Transfer
Authors: Aider Youssef , Kaur Inderjot , Singh Prashant 
Published: April 2024

Abstract
High porosity aluminum foams have the potential to dissipate large heat flux in a channel flow configuration due to their large surface area-to-volume ratio and the ability to enhance mixing due to flow tortuosity. It is well documented that the interstitial heat transfer coefficient has a power law dependence on the flow velocity at the pore-scale. For asymmetrical heating (single wall), a flow blockage concept is proposed with an aim to locally enhance flow speed near the heated wall. To this end, experimental and numerical investigation is carried out on a high porosity (95%) aluminum foam (10 pores per inch) with flow blockages, both upstream and downstream of the metal foam placed in a square channel. The opening was provided closer to the heated wall, where flow blockage was varied from 0% to 87%. With air as working fluid, experiments were conducted for channel Reynolds number varying from 3000 to 13,000. It was found that all flow blockages resulted in enhanced heat transfer over no-blockage case, however, at a high pressure drop penalty. An upstream flow blockage of 70% was found to have the highest thermal-hydraulic performance among other flow blockages (including 0% blockage).
Modeling of Wind Power Plants and Their Impact on Economic and Environmental Development
Authors: Suryani Erma , Hendrawan Rully Agus , Muhandhis Isnaini , Syafa'at Fizar , Mudjahidin Mudjahidin , Handayani Firin , Az-Zahra Alifia , Chou Shuo-Yan , Dewabharata Anindhita , Karijadi Irene 
Published: April 2024

Abstract
This research addresses the environmental dynamics of wind power plants and their impact on the economy and environment. A system dynamics framework is used as a tool for model development since it accommodates relationships between complex and nonlinear variables affecting the wind power plants and their impact on the economy and environment. The scientific contribution of this research is the creation of scenario modeling that describes the interrelationships of variables and parameters affecting wind power plants and their impact. By changing the structure of the model, projections on the future of wind power plant generation can be estimated. Several scenarios being developed include adding turbines in the Sidrap and Jeneponto regencies to increase the fulfillment ratio of wind energy and scenarios to reduce CO2 emissions using solid direct air capture (S-DAC). The data and information used in this research come from the Central Statistics Agency, articles on wind energy power plants, and data from related previous studies. These models and scenarios can be applied in other regions by adjusting the parameter values of the case study model. Total wind energy depends on density, wind speed, blade cross-sectional area, and the efficiency of the Betz limit. With the addition of 25 turbines in Sidrap and 20 turbines in Jeneponto, the average fulfillment ratio is estimated to increase by around 7% due to increased production. Meanwhile, total CO2 emissions are estimated to decrease by approximately 45% due to solid direct air capture.
Analyzing Hydrogen Flow Behavior Based on Deep Learning Sensor Selection Optimization Framework
Authors: Katterbauer Klemens , Al Shehri Abdallah , Qasim Abdulaziz , Yousef Ali 
Published: April 2024

Abstract
With tremendous potential to lower the carbon footprint of power generation and as an alternative energy carrier for many applications, hydrogen has emerged as a key potential energy carrier. Understanding of geological conditions and the injection and production changes over time for hydrogen storage are paramount, requiring in situ reservoir sensing options. Determining the flow behavior is of critical importance in order to estimate hydrogen volumes within the reservoir. A novel AI-driven methodology for hydrogen flow behavior and volume estimation was demonstrated. For determining the S1 through S3 predicted hydrogen storage quantities, the framework is linked to an uncertainty estimate framework. The Pohokura field in New Zealand served as the basis for the framework's evaluation, and it performed acceptably in terms of identifying the hydrogen flow behaviors and quantities inside the subsurface reservoir. The framework is a significant first step in assessing the amount of hydrogen that can be stored in subterranean reservoirs for long-term hydrogen storage.