bluuebunny/crossref_metadata_2025 huggingface dataset:
Parameter extraction of photovoltaic cell models using electric eel foraging optimizer
Authors: Izci Davut , Ekinci Serdar , Abualigah Laith , Salman Mohammad , Rashdan Mostafa
Published: August 2024

Solar energy has emerged as a key solution in the global transition to renewable energy sources, driven by environmental concerns and climate change. This is largely due to its cleanliness, availability, and cost-effectiveness. The precise assessment of hidden factors within photovoltaic (PV) models is critical for effectively exploiting the potential of these systems. This study employs a novel approach to parameter estimation, utilizing the electric eel foraging optimizer (EEFO), recently documented in the literature, to address such engineering issues. The EEFO emerges as a competitive metaheuristic methodology that plays a crucial role in enabling precise parameter extraction. In order to maintain scientific integrity and fairness, the study utilizes the RTC France solar cell as a benchmark case. We incorporate the EEFO approach, together with Newton-Raphson method, into the parameter tuning process for three PV models: single-diode, double-diode, and three-diode models, using a common experimental framework. We selected the RTC France solar cell for the single-diode, double-diode, and three-diode models because of its significant role in the field. It serves as a reliable evaluation platform for the EEFO approach. We conduct a thorough evaluation using statistical, convergence, and elapsed time studies, demonstrating that EEFO consistently achieves low RMSE values. This indicates that EEFO is capable of accurately estimating the current-voltage characteristics. The system’s smooth convergence behavior further reinforces its efficacy. Comparing the EEFO with competing methodologies reinforces its competitive advantage in optimizing solar PV model parameters, showcasing its potential to greatly enhance the usage of solar energy.
Voltage response characterization of grid-forming wind power systems
Authors: Li Qun , Li Qiang , Tang Weijia , Wang Chenggen
Published: August 2024

The widespread integration of wind turbines poses voltage stability challenges to power systems. To enhance the ability of wind power systems to actively support grid voltage, grid-forming control techniques are increasingly being employed. However, current research primarily focuses on voltage stability challenges at the point of common coupling in wind power systems, lacking thorough investigation into system voltage response characterization. This paper establishes the voltage response model of a grid-forming wind power system. Based on this model, mathematical derivation and theoretical analysis are conducted, and the effect factors of the voltage at the point of common coupling are investigated. Furthermore, a voltage stabilization method is explored by adjusting the above effect factors. Finally, based on the MATLAB/Simulink platform, the simulation verification of each effect factor is carried out. The results indicate that voltage response characterization obtained by the theoretical analysis and simulation is similar and that the proposed method is valid.
Formyl peptide receptor 2 regulates dendritic cell metabolism and Th17 cell differentiation during neuroinflammation
Authors: Lim Jong-Hyung , Neuwirth Ales , Chung Kyoung-Jin , Grossklaus Sylvia , Soehnlein Oliver , Hajishengallis George , Chavakis Triantafyllos
Published: August 2024

Formyl peptide receptor 2 (FPR2) is a receptor for formylated peptides and specific pro-resolving mediators, and is involved in various inflammatory processes. Here, we aimed to elucidate the role of FPR2 in dendritic cell (DC) function and autoimmunity-related central nervous system (CNS) inflammation by using the experimental autoimmune encephalomyelitis (EAE) model. EAE induction was accompanied by increased Fpr2 mRNA expression in the spinal cord. FPR2-deficient (Fpr2KO) mice displayed delayed onset of EAE compared to wild-type (WT) mice, associated with reduced frequencies of Th17 cells in the inflamed spinal cord at the early stage of the disease. However, FPR2 deficiency did not affect EAE severity after the disease reached its peak. FPR2 deficiency in mature DCs resulted in decreased expression of Th17 polarizing cytokines IL6, IL23p19, IL1β, and thereby diminished the DC-mediated activation of Th17 cell differentiation. LPS-activated FPR2-deficient DCs showed upregulated Nos2 expression and nitric oxide (NO) production, as well as reduced oxygen consumption rate and impaired mitochondrial function, including decreased mitochondrial superoxide levels, lower mitochondrial membrane potential and diminished expression of genes related to the tricarboxylic acid cycle and genes related to the electron transport chain, as compared to WT DCs. Treatment with a NO inhibitor reversed the reduced Th17 cell differentiation in the presence of FPR2-deficient DCs. Together, by regulating DC metabolism, FPR2 enhances the production of DC-derived Th17-polarizing cytokines and hence Th17 cell differentiation in the context of neuroinflammation.
NETosis of psoriasis: a critical step in amplifying the inflammatory response
Authors: Zhang Jinke , Feng Yahui , Shi Dongmei
Published: August 2024

NETosis, a regulated form of neutrophil death, is crucial for host defense against pathogens. However, the release of neutrophil extracellular traps (NETs) during NETosis can have detrimental effects on surrounding tissues and contribute to the pro-inflammatory response, in addition to their role in controlling microbes. Although it is well-established that the IL-23-Th17 axis plays a key role in the pathogenesis of psoriasis, emerging evidence suggests that psoriasis, as an autoinflammatory disease, is also associated with NETosis. The purpose of this review is to provide a comprehensive understanding of the mechanisms underlying NETosis in psoriasis. It will cover topics such as the formation of NETs, immune cells involved in NETosis, and potential biomarkers as prognostic/predicting factors in psoriasis. By analyzing the intricate relationship between NETosis and psoriasis, this review also aims to identify novel possibilities targeting NETosis for the treatment of psoriasis.
Mast cell stabilizers: from pathogenic roles to targeting therapies
Authors: Cao Mengda , Gao Yao
Published: August 2024

Mast cells (MCs) are bone-marrow-derived haematopoietic cells that are widely distributed in human tissues. When activated, they will release tryptase, histamine and other mediators that play major roles in a diverse array of diseases/disorders, including allergies, inflammation, cardiovascular diseases, autoimmune diseases, cancers and even death. The multiple pathological effects of MCs have made their stabilizers a research hotspot for the treatment of related diseases. To date, the clinically available MC stabilizers are limited. Considering the rapidly increasing incidence rate and widespread prevalence of MC-related diseases, a comprehensive reference is needed for the clinicians or researchers to identify and choose efficacious MC stabilizers. This review analyzes the mechanism of MC activation, and summarizes the progress made so far in the development of MC stabilizers. MC stabilizers are classified by the action mechanism here, including acting on cell surface receptors, disturbing signal transduction pathways and interfering exocytosis systems. Particular emphasis is placed on the clinical applications and the future development direction of MC stabilizers.
Novel insights: crosstalk with non-puerperal mastitis and immunity
Authors: Zhou Yao , Gong Jie , Deng Xianguang , Shen Lele , Liu Lifang
Published: August 2024

The two primary types of non-puerperal mastitis (NPM) are granulomatous lobular mastitis (GLM) and plasma cell mastitis (PCM). Existing research indicates that immune inflammatory response is considered to be the core of the pathogenesis of GLM and PCM, and both innate and adaptive immune responses play an important role in the pathophysiology of PCM and GLM. However, the regulatory balance between various immune cells in these diseases is still unclear. Consequently, we present a comprehensive summary of the immune-related variables and recent advances in GLM and PCM.
Differences between potassium and sodium incorporation in foraminiferal shell carbonate
Authors: Pacho Laura , De Nooijer Lennart Jan , Boer Wim , Reichart Gert-Jan
Published: August 2024

The isotopic and elemental composition of the fossil shells of foraminifera are often used for reconstructing past environments and climates. These so-called proxy relations are based on the effect of environmental conditions (e.g. seawater temperature, pH) on the isotopic ratio (e.g. δ11B or δ18O) or partitioning of elements (commonly expressed as El/Ca or DEl) during calcification. Whereas many studies focused on proxy-calibrations of divalent cations, incorporation of monovalent cations are less well constrained. Here we calibrate shell potassium content (K/Cacc) as a function of 1) seawater K+ concentration, 2) the ratio of potassium and calcium in seawater (K/Casw) and 3) temperature. Moreover, we analyze Na+ incorporation into the calcite as a function of seawater K+ and Ca2+ concentrations. First, we cultured specimens of the larger benthic foraminifer Amphistegina lessonii at four different seawater [Ca2+] and constant [K+], resulting in a range of K/Casw. Secondly, we cultured specimens of the same species at four different [Ca2+]sw and [K+]sw while keeping the ratio between these two ions constant. Finally, we tested the effect of temperature (from 18 to 28°C) on K-incorporation in this species. Measured K/Cacc values are not notably affected by [Ca2+]sw, while seawater [K+] positively influences potassium incorporation, resulting in a positive correlation between seawater K/Ca values and K/Cacc. Although the [Na+] in the culture media was constant throughout both experiments, incorporated Na responded positively to decreasing [Ca2+]sw, resulting in a positive correlation between sea water Na/Ca and Na/Cacc. The difference in the controls on K- and Na-incorporation suggests that the (biological) control on these ions differs. Part of the observed variability in element partitioning may be explained by differences in chemical speciation and crystallographic coordination in the calcite lattice.
The sources and transport model of deep-sea sediment in the Southwest Sub-basin of the South China Sea
Authors: Cai Zhourong , Wang Xiaoxiang , Zhong Lifeng , Zhang Cheng , Sui Xin
Published: August 2024

Turbidity current deposition belongs to event deposition, which is of great significance to the study of neotectonic movement. However, turbidite deposits are rarely found in deep-sea basins. In this work, the particle size, mineralogy, and geochemistry of 14 deep-sea sediment cores from the Southwest Sub-basin (SWSB) of South China Sea (SCS) and its periphery are used to trace the sources of sediment and reveal the sedimentological and geochemical characteristics of deep-sea sediments. The results show that quartz and feldspar are the main minerals in the core sediments from the SWSB, and there are multiple layers of turbidites. Geochemical analysis reveals that the composition of the core sediments is close to that of the western margin of the SCS and is similar to that of the upper continental crust (UCC) and is inherited from terrigenous sediments. The Sr–Nd isotope results indicate that the sediment provenances of the SWSB are from the Mekong River, Sunda Shelf and Red River, showing the characteristics of multiple sources. Therefore, we propose that terrigenous materials from multiple sources can reach the deep-sea basin of the SWSB, and we also establish a transport model of deep-sea terrigenous sediment. Terrigenous materials were first carried by rivers and surface currents to the continental margins near the SWSB, and fine materials were subsequently transported by surface currents to the deep-sea basin, while coarse materials were subsequently transported by turbidity currents. Turbidity current deposits provide an approach for studying the transport of coarse materials in deep-sea basins of SWSB.
Molecular cloning, tissue distribution and nutritional regulation of four acyl-coenzyme A oxidase (acox) isoforms in Scylla paramamosain
Authors: Zhideng Lin , Jinjie Lan , Huangbin Lin , Chaoyang Huang , Mingyao Zhang , Qincheng Huang
Published: August 2024

As rate-limiting enzymes of peroxisomal β-oxidation, acyl-coenzyme A oxidase (ACOXs) play vital roles in maintaining energy homeostasis and regulating reactive oxygen species (ROS) metabolism. However, there are no studies on the functions of ACOXs in crustaceans. In the present study, four full-length cDNA sequences of acoxs, namely the acox-1a (2403 bp), acox-1b (2733 bp), acox-3a (2878 bp) and acox-3b (3445 bp), were successfully isolated from mud crab Scylla paramamosain, which encoded 666, 673, 701 and 658 amino acids, respectively. Sequence analysis showed that the ACOX-1a, ACOX-1b and ACOX-3a possessed conserved structural domains like FAD-binding motif, fatty acyl CoA oxidase domain and peroxisomal targeting signal, while the ACOX-3b lacked peroxisomal targeting signal. Results of phylogenetic tree indicated that the four ACOXs of mud crab grouped gathered with their corresponding orthologues from crustaceans. The acox-1a, acox-3a and acox-3b were highly expressed in hepatopancreas, and the acox-1b was mainly distributed in muscle and hepatopancreas. Compared with feeding groups, the expression levels of acox-1a, acox-3a and acox-3b in hepatopancreas and acox-3a in muscle were markedly up-regulated in fasting groups, suggesting that the acoxs had significant effects in modulating energy balance during fasting. In addition, fasting significantly increased the transcriptional levels of nuclear factor erythroid 2-related factor (nrf2) and its downstream antioxidant genes (catalase (cat), glutathione peroxidase (gpx) and glutathione S-transferase (gst)) to improve antioxidant capacity for removing excessive ROS produced by ACOX-mediated peroxisomal β-oxidation. These results would be conducive to providing new insights into evolutionary characteristics and functions of acoxs in crustaceans.
Evaluating pre-anesthesia assessment performance in residency: the reliability of standardized patient methods
Authors: Besnier Emmanuel , Franchina Sébastien , Lefevre-Scelles Antoine , Wable Thierry , Hanouz Jean-Luc , Allard Etienne , Dureuil Bertrand , Compère Vincent
Published: August 2024

Background

Pre-anesthesia assessment clinic (PAC) is known to increase safety and quality in the perioperative period. However, PAC teaching during anesthesiology residency is a challenge. The objective of this study was to assess the reliability of a simulation score grid using a standardized patient on the PAC performance of anesthesiology residents.

Methods

A score grid, including the 4 components of the PAC (clinical evaluation, perioperative strategy, information and communication) was validated by a group of 5 senior anesthesiologists. Anesthesiology residents (> one year) and attending anesthesiologists were included. The same simulation sequence with the same standardized patient was conducted in a simulation dedicated consultation room. The simulation sequence was followed by a debriefing session with the 2 professors (anesthesiology and communication) and each anesthesiology resident. The main outcome was the overall grid score out of a maximum score of 300 and the correlation of this score with experience in anesthesiology residency. Secondary outcomes were individual component scores according to level of experience in anesthesiology.

Results

Between October 2014 and April 2016, 109 anesthesiology residents and 16 attending anesthesiologists were included in this prospective bicentric study. There was a positive correlation (p < 0.01) between level of experience and overall score on the grid score (Pearson’s Coefficient = 0.52). The Pearson correlation coefficient between overall assessment and level of experience in anesthesiology was 0.46 (p < 0.01). The analysis of the sub-scores for the 4 components of the overall score (evaluation, perioperative strategy, information and communication) also identify differences between groups of experience.

Conclusion

Standardized patient Simulation of PAC seems to be a reliable tool to assess PAC performance in anesthesiology residents and senior anesthesiologists. These results suggest standardized patient simulation could be used as a teaching tool for PAC.
Case report: Cytokine and miRNA profiling in multisystem inflammatory syndrome in children
Authors: Tsai Yun-Hao , Hong Jun-Jie , Cheng Chao-Min , Cheng Mei-Hsiu , Chen Cheng-Han , Hsieh Min-Ling , Hsieh Kai-Sheng , Shen Ching-Fen
Published: August 2024

Multisystem inflammatory syndrome in children (MIS-C) is an imperative pediatric inflammatory condition closely linked to COVID-19, which garners substantial attention since the onset of the pandemic. Like Kawasaki illness, this condition is characterized by an overactive immune response, leading to symptoms including pyrexia, cardiac and renal complications. To elucidate the pathogenesis of MIS-C and identify potential biomarkers, we conducted an extensive examination of specific cytokines (IL-6, IL-1β, IL-6R, IL-10, and TNF-α) and microRNA (miRNA) expression profiles at various intervals (ranging from 3 to 20 days) in the peripheral blood sample of a severely affected MIS-C patient. Our investigation revealed a gradual decline in circulating levels of IL-6, IL-1β, IL-10, and TNF-α following intravenous immune globulin (IVIG) therapy. Notably, IL-6 exhibited a significant reduction from 74.30 to 1.49 pg./mL, while IL-6R levels remained consistently stable throughout the disease course. Furthermore, we observed an inverse correlation between the expression of hsa-miR-596 and hsa-miR-224-5p and the aforementioned cytokines. Our findings underscore a robust association between blood cytokine and miRNA concentrations and the severity of MIS-C. These insights enhance our understanding of the genetic regulatory mechanisms implicated in MIS-C pathogenesis, offering potential avenues for early biomarker detection and therapy monitoring through miRNA analysis.
Attitudes and psychotropic preferences of primary care providers in the management of mental disorders: a web-based survey
Authors: Örüm Dilek
Published: August 2024

Background

Many variables may affect the approaches of primary care providers (PCPs) to mental disorders. This study was aimed at reaching PCPs actively practicing in Turkey through a web-based survey and determining their practices and attitudes regarding mental disorders.

Methods

This was a web-based, quantitative, cross-sectional, primary care approach-based observational survey.

Results

Data from 454 PCPs (213 male, 241 female; 321 general practitioners, 133 family medicine specialists) were examined. In-service training in psychiatry (p < 0.001), using classification criteria when evaluating mental disorders (p < 0.001), and experience in diagnosing mental disorders (p = 0.003) were more prevalent among family medicine specialists than general practitioners. Regardless of specialization status, PCPs reported the most difficulty diagnosing bipolar disorder (62.33%) and following-up alcohol/drug use disorder (52.20%). Significant differences in the use of psychotropic medications were observed between general practitioners and family medicine specialists. While the rate of direct referral to psychiatry without intervening in certain situations was higher among general practitioners, variety of psychotropic medication use were also more evident among them. Misinformation that antidepressants cause forgetfulness, numbness, suicide, and addiction was prevalent among all PCPs. Those who had in-service training in psychiatry had significantly more experience in using classification criteria, diagnosing and starting treatment for mental disorders, using psychotropic medications, and encountering suicide-related situations (p < 0.05). Binary logistic regression analysis demonstrated that psychiatry in-service training experience can improve the use of classification criteria, suicide detection, antidepressant choice in anxiety, and understanding the addictive nature of antidepressants (Sensitivity = 88.6%; Specificity = 98.3%; Beginning block −2 Log likelihood 628.946, overall p value < 0.001; Block one −2 Log likelihood 141.054a, Cox & Snell R2 = 0.659, Nagelkerke R2 = 0.878; Hosmer and Lemeshow Test p = 0.938).

Conclusion

This study makes significant contributions to the literature by discussing the subject in detail and comparing general practitioners and family medicine specialists. Regardless of their specialty status, PCPs’ knowledge about mental disorders needs to be improved. In-service psychiatry training is one of the tools that can be used for this purpose.
Development and validation of a predictive model for prolonged length of stay in elderly type 2 diabetes mellitus patients combined with cerebral infarction
Authors: Tang Mingshan , Zhao Yan , Xiao Jing , Jiang Side , Tan Juntao , Xu Qian , Pan Chengde , Wang Jie
Published: August 2024

Background

This study aimed to identify the predictive factors for prolonged length of stay (LOS) in elderly type 2 diabetes mellitus (T2DM) patients suffering from cerebral infarction (CI) and construct a predictive model to effectively utilize hospital resources.

Methods

Clinical data were retrospectively collected from T2DM patients suffering from CI aged ≥65 years who were admitted to five tertiary hospitals in Southwest China. The least absolute shrinkage and selection operator (LASSO) regression model and multivariable logistic regression analysis were conducted to identify the independent predictors of prolonged LOS. A nomogram was constructed to visualize the model. The discrimination, calibration, and clinical practicality of the model were evaluated according to the area under the receiver operating characteristic curve (AUROC), calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC).

Results

A total of 13,361 patients were included, comprising 6,023, 2,582, and 4,756 patients in the training, internal validation, and external validation sets, respectively. The results revealed that the ACCI score, OP, PI, analgesics use, antibiotics use, psychotropic drug use, insurance type, and ALB were independent predictors for prolonged LOS. The eight-predictor LASSO logistic regression displayed high prediction ability, with an AUROC of 0.725 (95% confidence interval [CI]: 0.710–0.739), a sensitivity of 0.662 (95% CI: 0.639–0.686), and a specificity of 0.675 (95% CI: 0.661–0.689). The calibration curve (bootstraps = 1,000) showed good calibration. In addition, the DCA and CIC also indicated good clinical practicality. An operation interface on a web page (https://xxmyyz.shinyapps.io/prolonged_los1/) was also established to facilitate clinical use.

Conclusion

The developed model can predict the risk of prolonged LOS in elderly T2DM patients diagnosed with CI, enabling clinicians to optimize bed management.
A comparison of conscious sedation and local anesthesia for thrombectomy in acute ischemic stroke: a multicenter study
Authors: Onalan Aysenur , Gurkas Erdem , Akpinar Cetin Kursad , Aykaç Özlem , Acar Turkan , Acar Bilgehan , Kocabaş Zehra Uysal , Doğan Hasan , Balgetir Ferhat , Genc Sule Kavak , Yabalak Ahmet , Ozdemir Atilla Ozcan
Published: August 2024

Introduction

Ischemic cerebrovascular disease (ICVD) is a serious health problem in which brain tissue suffers from hypoxic damage due to obstruction in cerebral vessels. Mechanical thrombectomy is a commonly used method in the treatment of these patients. However, the effects of local anesthesia (LA) and conscious sedation (CS) during thrombectomy are still unclear. We evaluated whether there was a relationship between the two anesthesia regimens in terms of 90-day modified Rankin Scale (mRS) scores.

Methods

In this study, a retrospective observational study was conducted to evaluate the effects of LA and CS used during mechanical thrombectomy in four comprehensive stroke centers among ICVD patients. Patients were divided into the LA group and the CS group. Statistical analysis was performed before and after 1:1 matching under propensity score matching (PSM) analysis. The primary outcome measure was an mRS score of 0–2 at 90 days. Secondary outcomes were procedure times, recanalization rates, symptomatic and asymptomatic hemorrhage rates, and procedural complications.

Results

A total of 193 patients (118 patients with LA and 75 patients with CS) were included in the final analysis before PSM. After 1:1 PSM, 98 patients—49 patients from each group—were included in the study. There was no difference in clinical outcomes between the LA- and CS-applied groups (p = 0.543). When blood pressure (BP) values at follow-up after endovascular treatment (EVT) were compared, the lowest systolic and lowest diastolic BP were found to be lower in the CS group (p = 0.001 and p = 0.009). There was no significant difference between the two groups in terms of recanalization rates, symptomatic intracranial hemorrhage (sICH) rates, 90-day mRS, and procedure-related complication rates (p = 0.617, p = 0.274, p = 0.543, and p = 1.000).

Conclusion

This study did not reveal the superiority of CS applied during EVT on 90-day mRS, sICH, recanalization rates, or procedural complications. However, the risk of developing hypotension during the CS application was found to be high.
Association between estimation of pulse wave velocity and all-cause mortality in critically ill patients with non-traumatic subarachnoid hemorrhage: an analysis based on the MIMIC-IV database
Authors: Li Jianquan , Zhang Meimei , Ye Baning , Lu Mingjie , Liao Gang
Published: August 2024

Background

Estimated pulse wave velocity (ePWV), which measures vascular aging, is an independent predictor of cardiovascular death. Nevertheless, the relationship between ePWV and all-cause mortality among patients suffering from non-traumatic subarachnoid hemorrhages (NSAH) remains obscure. Consequently, the objective of this study is to ascertain whether ePWV exerts influence on the prognosis of individuals afflicted with NSAH.

Methods

Through the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, 644 eligible participants were included. The Kaplan–Meier survival curve method was employed to assess the disparity in survival status between the low and high ePWV cohorts. The Cox proportional hazard model was employed to investigate the association between ePWV and inpatient mortality among critically ill patients diagnosed with NSAH. The Restricted Cubic Spline (RCS) model was employed to examine the dose–response correlation. Subsequently, multivariate Cox regression analysis was performed to identify independent prognostic factors. Lastly, the impact of ePWV on inpatient mortality across various subgroups was evaluated through stratified analysis.

Results

Participants were categorized into two groups, delineated by their ePWV levels: a low ePWV level group and a high ePWV level group. Survival analysis unveiled that individuals with high ePWV exhibited a diminished survival rate compared to their counterparts with low ePWV. Following adjustment, low ePWV was significantly linked with a reduced risk of inpatient mortality among patients with NSAH (HR = 0.54, 95% CI = 0.32–0.89, p = 0.016). Simultaneously, analysis employing the RCS model further substantiated a linear escalation in the risk of inpatient mortality with increasing ePWV values.

Conclusion

Elevated ePWV levels have been identified as an independent risk factor for the rise in inpatient mortality among NSAH patients and as a significant predictor of the clinical outcome of NSAH.
Neuronal RNA processing: cross-talk between transcriptional regulation and RNA-binding proteins
Authors: Ozbulut Hasan Can , Hilgers Valérie
Published: August 2024

In the nervous system, alternative RNA processing is particularly prevalent, which results in the expression of thousands of transcript variants found in no other tissue. Neuron-specific RNA-binding proteins co-transcriptionally regulate alternative splicing, alternative polyadenylation, and RNA editing, thereby shaping the RNA identity of nervous system cells. Recent evidence suggests that interactions between RNA-binding proteins and cis-regulatory elements such as promoters and enhancers play a role in the determination of neuron-specific expression profiles. Here, we discuss possible mechanisms through which transcription and RNA processing cross-talk to generate the uniquely complex neuronal transcriptome, with a focus on alternative 3′-end formation.
Reckoning with the wicked problems of nuclear technology: pedagogical philosophy, design, and method underlying a course on nuclear technology, policy, and society
Authors: Verma Aditi
Published: August 2024

Many problems at the intersection of nuclear technology, policy, and society can be thought of as wicked problems. Wicked problems—a formulation put forward in what is now a landmark paper by Rittel and Webber (design and planning scholars respectively)–are those that lack definitive formulations, resist durable resolution, do not have an exhaustively identifiable set of true or false solutions, and are often framed entirely differently by different entities experiencing the problem. Every attempt to solve a wicked problem is a solution attempt made in the real world and thus has consequences and implications that can potentially be far-reaching. This paper describes the underlying philosophy, design, and implementation of a course on “Nuclear Technology, Policy, and Society” taught in the Department of Nuclear Engineering and Radiological Sciences at the University of Michigan. The course explores some of nuclear technology’s most pressing challenges (or its ‘wicked problems’). Through this course students explore the origins of these problems–be they social or technical, they are offered tools–conceptual and methodological–to make sense of these problems, and guided through a semester-long exploration of how engineers can work towards their resolution, and to what degree these problems can be solved through institutional transformation and/or a transformation in our own practices and norms as a field. The underlying pedagogical philosophy, implementation, and response to the course are described here for other instructors who might wish to create a similar course, or for non-academic nuclear engineers, who might perhaps, in these pages, find a vocabulary for articulating and reflecting on the nature of these problems as encountered in their praxis.
The comparison of meat yield, quality, and flavor between small-tailed Han sheep and two crossbred sheep and the verification of related candidate genes
Authors: Xiao Cheng , Liu Yu , Zhao Wenjun , Liang Yingjia , Cui Chao , Yang Shaoying , Fang WenWen , Miao Lisheng , Yuan Zhiyu , Lin Zihan , Zhai Bo , Zhao Zhongli , Zhang Lichun , Ma Huihai , Jin Haiguo , Cao Yang
Published: August 2024

Introduction

In Northeast China, Dorper and Australian White rams are commonly crossbred with small-tailed Han (STH) ewes to improve the offspring's meat yield and quality. However, the differences in traits and the flavor between the crossbred sheep and STH sheep remain unclear. In addition, the candidate genes potentially influencing the meat quality in the three sheep breeds require further verification.

Methods

A total of 18 2-month-old healthy rams were raised over a period of 5 months, which included 6 STH, 6 Dorper and small-tailed Han crossbred (Do × STH), and 6 Australian white and small-tailed Han crossbred (Au × STH) offspring. The differences in slaughter, meat quality traits, fatty acid and amino acid composition in the muscular longissimus dorsi (MLD), and volatile compounds in the semitendinosus muscle were compared between the sheep breeds. The candidate genes related to intramuscular fat (IMF) content and fatty acids were validated.

Results

The results of this study revealed that the crossbred sheep had higher body weight, carcass weight, bone weight, net meat weight, and IMF content than the STH sheep (p < 0.05). The Do × STH offspring had a higher pH value (24 h), moisture content, and cooking percentage; they also had redder and brighter meat color. The content of myristate, palmitic, and margaric acids in the crossbred sheep was higher than that in the STH sheep (p < 0.05). The Do × STH offspring had the highest saturated fatty acid content (p < 0.05). The Au × STH offspring had the highest protein content (p < 0.05). The arachidonic acid and amino acid (Asp, Ala, Ile, Leu, Lys, Thr, and essential amino acid) contents were higher in the STH sheep than in the crossbred sheep (p < 0.05). The odor activity value (OAV) analysis showed that most of the aldehydes in the Au × STH offspring had higher values. The PDK4 gene expression was positively associated with the IMF content and was negatively correlated with the linoleic acid content in the Do × STH sheep (p < 0.05). The TMEM273 gene expression was positively associated with linoleic and arachidonic acid contents and was negatively correlated with oleic and palmitic acid contents in the Do × STH sheep (p < 0.05).

Discussion

The results showed the differences between the crossbred sheep and STH sheep and provided the candidate genes related to meat quality in sheep.
The pig is an excellent model to determine amino acid digestibility of human foods and to generate data needed to meet human amino acid requirements
Authors: Stein Hans H.
Published: August 2024

The protein value of any food item is determined by the quantity and ileal digestibility of indispensable amino acids in that food. To determine the ileal digestibility of amino acids, an animal model needs to be used, and the pig is the preferred model because values for ileal digestibility obtained in pigs are representative of values obtained in humans. In addition, pigs are omnivorous animals like humans, they are meal eaters, they consume most diets that humans consume, they are easy to work with, and they can be used for repeated determinations of digestibility in many foods. It is, therefore, possible to use pigs to establish a database with digestibility values for human foods and by correcting digestibility values obtained in pigs for the basal endogenous losses of amino acids, it is possible to calculate true ileal digestibility values that are additive in mixed meals. As a consequence, the protein quality of a meal consisting of several food items can be calculated based on digestibility values obtained in pigs. Future work needs to focus on expanding existing databases for amino acid digestibility in foods to include more food items, which will make it possible to estimate the amino acid value of more mixed meals. It is also necessary that the amino acid values in mixed meals be related to requirements for digestible indispensable amino acids in the individuals consuming the meals. The current contribution describes the basic steps in determining amino acid digestibility in human foods using the pig as a model and also outlines future steps needed to further improve amino acid nutrition in humans.
Exosomal lncRNAs as regulators of breast cancer chemoresistance and metastasis and their potential use as biomarkers
Authors: Blancas-Zugarazo Sugela Susana , Langley Elizabeth , Hidalgo-Miranda Alfredo
Published: August 2024

Breast cancer is the most common cancer in women and the leading cause of female deaths by cancer in the world worldwide. Hence, understanding the molecular mechanisms associated with breast cancer development and progression, including drug resistance and breast cancer metastasis, is essential for achieving the best management of breast cancer patients. Cancer-related long noncoding RNAs have been shown to be involved in the regulation of each stage of breast cancer progression. Additionally, exosomes are extracellular microvesicles that are central to intercellular communication and play an important role in tumorigenesis. Exosomes can be released from primary tumor cells into the bloodstream and transmit cellular signals to distant body sites. In this work, we review the findings regarding the cellular mechanisms regulated by exosomal lncRNAs that are essentials to chemoresistance development and metastasis of breast cancer. Likewise, we evaluate the outcomes of the potential clinical use of exosomal lncRNAs as breast cancer biomarkers to achieve personalized management of the patients. This finding highlights the importance of transcriptomic analysis of exosomal lncRNAs to understand the breast cancer tumorigenesis as well as to improve the clinical tests available for this disease.
Assessing clinical efficacy of polyp detection models using open-access datasets
Authors: Marchese Aizenman Gabriel , Salvagnini Pietro , Cherubini Andrea , Biffi Carlo
Published: August 2024

Background

Ensuring accurate polyp detection during colonoscopy is essential for preventing colorectal cancer (CRC). Recent advances in deep learning-based computer-aided detection (CADe) systems have shown promise in enhancing endoscopists’ performances. Effective CADe systems must achieve high polyp detection rates from the initial seconds of polyp appearance while maintaining low false positive (FP) detection rates throughout the procedure.

Method

We integrated four open-access datasets into a unified platform containing over 340,000 images from various centers, including 380 annotated polyps, with distinct data splits for comprehensive model development and benchmarking. The REAL-Colon dataset, comprising 60 full-procedure colonoscopy videos from six centers, is used as the fifth dataset of the platform to simulate clinical conditions for model evaluation on unseen center data. Performance assessment includes traditional object detection metrics and new metrics that better meet clinical needs. Specifically, by defining detection events as sequences of consecutive detections, we compute per-polyp recall at early detection stages and average per-patient FPs, enabling the generation of Free-Response Receiver Operating Characteristic (FROC) curves.

Results

Using YOLOv7, we trained and tested several models across the proposed data splits, showcasing the robustness of our open-access platform for CADe system development and benchmarking. The introduction of new metrics allows for the optimization of CADe operational parameters based on clinically relevant criteria, such as per-patient FPs and early polyp detection. Our findings also reveal that omitting full-procedure videos leads to non-realistic assessments and that detecting small polyp bounding boxes poses the greatest challenge.

Conclusion

This study demonstrates how newly available open-access data supports ongoing research progress in environments that closely mimic clinical settings. The introduced metrics and FROC curves illustrate CADe clinical efficacy and can aid in tuning CADe hyperparameters.
Malaria and associated factors among under-five children in Borena pastoral communities, southern Ethiopia
Authors: Aliyo Alqeer , Golicha Wako , Fikrie Anteneh
Published: August 2024

Background

Malaria continues to be an important threat to public health and infects millions of children under 5 years of age each year. Although Ethiopia has set targets for at-risk group interventions to eradicate and manage malaria, the illness is still a serious public health problem in areas where it is endemic, especially in the unique lowlands in the Borena zone.

Objective

This study aimed to determine the prevalence of malaria and associated factors among children in Borena’s pastoral communities, Oromia Regional State, southern Ethiopia, in 2022.

Methods

A community-based cross-sectional study was conducted from 1 March to 30 April 2022 among 437 randomly selected households with children under 5 years of age in pastoral communities in the Borena zone. Data were collected through face-to-face interviews with structured and pretested questionnaires and blood sample examination using microscopy. Thick and thin blood smears were prepared and examined under a microscope at a health center to confirm malaria cases. The data were analyzed using SPSS version 25. Bivariate and multivariable logistic regression analyses were used to identify factors associated with malaria, and a p-value <0.05 was used to declare statistical significance.

Result

The prevalence of malaria among children under 5 years of age was 27.8% (95% CI = 23.5–32.1), and the prevalence rates of Plasmodium falciparum, Plasmodium vivax, and mixed malaria were 68.4%, 25.6%, and 6%, respectively. Regarding the proportion of malaria among age groups, 81% of children under 5 years of age between 48 and 59 months were malaria-positive. In this study, fever within the last week (AOR = 13.34, 95% CI = 6.37–27.95) and not sleeping under insecticide-treated nets (ITNs) (AOR = 3.10, 95% CI =1.95–4.92) were significantly associated with malaria. The age of the children was negatively associated with malaria prevalence.

Conclusion

The prevalence of malaria among children under 5 years old was high during the rainy season in this pastoral region of Ethiopia. Factors such as fever within the last week and not sleeping in insecticide-treated nets were significantly associated with malaria. Therefore, to reduce malaria-related infections and deaths among children under 5 years of age, the government ought to enhance the availability and utilization of insecticide-treated nets (ITNs).
Piperazine ferulate inhibits diabetic nephropathy by suppressing AGE/RAGE-mediated inflammatory signaling in rats and podocytes
Authors: Zhang Xiu-Meng , Min Xin-Ran , Xie Hong-Xiao , Jiang Yan-Ning , Rui Yi-Xin , Li Bo , Zeng Nan , Liu Rong
Published: August 2024

Objective: Diabetic nephropathy (DN) is a serious complication that may occur during the later stages of diabetes, and can be further exacerbated by podocyte damage. Piperazine ferulate (PF) has well-defined nephroprotective effects and is used clinically in the treatment of chronic nephritis and other kidney diseases. However, the renoprotective effects and mechanisms of PF on DN are not clear. This study aims to investigate the protective effect of PF on DN and its mechanism of action, to inform the clinical application of PF in DN treatment.

Methods: Network pharmacology was performed to predict the mechanism of action of PF in DN. Male Sprague Dawley rats were intraperitoneally injected with STZ (60 mg/kg) to establish a DN model, and then assessed for renal injury after 12 weeks of administration. In vitro, rat podocytes were treated with 25 mmol/L glucose and cultured for 24 h, followed by an assessment of cell injury.

Results: Our results showed that PF significantly improved renal function, reduced renal pathological changes, decreased inflammatory response, and alleviated podocyte damage in DN rats. PF also attenuated glucose-induced podocyte injury in vitro. Regarding molecular mechanisms, our study demonstrated that PF downregulated the expression of genes and proteins related to AGE-RAGE-mediated inflammatory signaling.

Conclusion: In summary, PF exerts its renoprotective effects by decreasing inflammation and protecting against podocyte injury through the inhibition of the AGE/RAGE/NF-κB/NLRP3 pathway. Overall, these data support the clinical potential of PF as a renoprotective agent in DN.
Efficacy of therapeutic intervention with NanoBEO to manage agitation and pain in patients suffering from severe dementia: a pilot clinical trial
Authors: Scuteri Damiana , Pagliaro Martina , Mantia Isabel , Contrada Marianna , Pignolo Loris , Tonin Paolo , Nicotera Pierluigi , Bagetta Giacinto , Corasaniti Maria Tiziana ,   the Pilot BRAINAID Trial investigators
Published: August 2024

Background

An estimated 57.4 million people live with dementia worldwide, with the social burden of the disease steadily growing. Despite the approval of lecanemab and ongoing trials, there is still a lack of effective and safe treatments for behavioral and psychological symptoms of dementia (BPSD), which affect 99% of patients. Agitation is one of the most disabling BPSD, with a cross-sectional prevalence of ≥50% in nursing homes, and refers to help-seeking behavior in response to various sources of discomfort, among which pain is a crucial component.

Methods

This pilot phase of the BRAINAID (NCT04321889) trial aimed to assess the effectiveness of the patented nanotechnological device NanoBEO in older (≥65 years) people with severe dementia. This randomized placebo-controlled trial, with quadruple masking that involved all operators and participants, followed the SPIRIT and CONSORT statements. A total of 29 patients completed the trial. The patients were randomly allocated in a 1:1 ratio to the NanoBEO or placebo group, and the corresponding product was applied on both arms once daily for 4 weeks, with a 4-week follow-up period. The primary endpoint was efficacy against agitation. The secondary endpoints were efficacy against agitation at follow-up and efficacy against pain. Any adverse events were reported, and biochemical analyses were performed.

Results

The NanoBEO intervention reduced the frequency (28%) and level of disruptiveness of agitated behaviors. The effect on frequency was statistically significant after 2 weeks of treatment. The efficacy of NanoBEO on agitated behaviors lasted for the entire 4-week treatment period. No additional psychotropic drugs were prescribed throughout the study duration. The results after 1 week of treatment demonstrated that NanoBEO had statistically significant analgesic efficacy (45.46% improvement in pain intensity). The treatment was well tolerated.

Discussion

This trial investigated the efficacy of NanoBEO therapy in managing agitation and pain in dementia. No need for rescue medications was recorded, strengthening the efficacy of NanoBEO in prolonged therapy for advanced-stage dementia and the usefulness of the intervention in the deprescription of potentially harmful drugs. This study provided a robust rationale for the application of NanoBEO in a subsequent large-scale pivotal trial to allow clinical translation of the product.

Clinical Trial Registration:ClinicalTrials.gov, identifier NCT04321889.
A risk-scoring system to predict dupilumab-associated ocular surface disease in patients with atopic dermatitis
Authors: Shim Sunyoung , Kim Jung Sun , Yee Jeong , Gwak Hye Sun
Published: August 2024

Introduction

Dupilumab is the first biological treatment for atopic dermatitis (AD). Dupilumab-associated ocular surface disease (DAOSD) is one of the most commonly reported side effects in patients with AD during dupilumab treatment. This study aimed to identify risk factors for DAOSD in a real-world setting and construct a risk-scoring system for predicting DAOSD risk.

Methods

A retrospective analysis was conducted for dupilumab-treated adult patients with AD between April 2019 and September 2023 at Yeouido St. Mary’s Hospital in Korea. Patients aged ≥18 years who received dupilumab to treat AD were included. Univariate and multivariable logistic regression analyses were performed to determine independent risk factors for DAOSD. A risk scoring system was constructed to predict DAOSD risk based on the adjusted odd ratios of significant variables.

Results

Of the 97 dupilumab-treated patients, 28 (28.9%) developed DAOSD. Among them, three (10.7%) patients discontinued dupilumab due to ocular side effects. In the multivariable analysis, older age, history of conjunctivitis, and a baseline Eczema Area and Severity Index (EASI) score ≥28 were independent risk factors for developing DAOSD. Using these variables, a risk-scoring system was constructed. The predicted DAOSD risks for AD patients with 0, 1, 2, 3, 4, and 5 points were 5.8%, 14.2%, 30.7%, 54.3%, 76.2%, and 89.6%, respectively.

Conclusion

In this study, the patient’s age, history of conjunctivitis, and higher baseline EASI score were significantly associated with DAOSD. This risk-scoring system would help identify high-risk patients requiring more caution when initiating dupilumab treatment.