bluuebunny/crossref_metadata_2025 huggingface dataset:
Regulation of ubiquitination in sepsis: from PAMP versus DAMP to peripheral inflammation and cell death
Authors: Li Yueying , Yu Jiongyan , Zeng Zhiwen , Lin Weixiong
Published: December 2024

Sepsis (sepsis) is a systemic inflammatory response triggered by infection, and its pathologic features include overproduction of peripheral inflammatory factors (e.g., IL-1β, IL-6, TNF-α), which ultimately leads to cytokine storm and multiple organ dysfunction syndrome (MODS). Pathogen-associated molecular patterns (PAMP) and damage-associated molecular patterns (DAMP) induce strong immune responses and exacerbate inflammation by activating pattern recognition receptors (PRRs) in the host. Ubiquitination, as a key protein post-translational modification, dynamically regulates the activity of several inflammation-associated proteins (e.g., RIPK1, NLRP3) through the coordinated action of the E1, E2, and E3 enzymes, affects cell death pathways such as necroptosis and pyroptosis, and ultimately regulates the release of peripheral inflammatory factors. Deubiquitinating enzymes (DUBs), on the other hand, influence the intensity of the inflammatory response in sepsis by counter-regulating the ubiquitination process and balancing pro- and anti-inflammatory signals. This review focuses on how PAMP and DAMP activate inflammatory pathways via PRRs, and the central role of ubiquitination and deubiquitination in the development of sepsis, especially the mechanisms in regulating the secretion of peripheral inflammatory factors and cell death. By deeply dissecting the impact of the balance of ubiquitination and deubiquitination on inflammatory regulation, we further envision its potential as a therapeutic target in sepsis.
Large-scale production of Mansonella perstans infective larvae from engorged Culicoides milnei
Authors: Kien Chi Anizette , Ebai Rene , Fombad Fanny Fri , Esofi Frederick , Ntuh Anna Ning , Ouam Emmanuel , Gandjui Narcisse Victor Tchamatchoua , Chunda Valerine Chawa , Ekanya Relindis , Nietcho Franck Noel , Foyet Juluis Visnel , Nchang Lucy Cho , Magha Chefor , Njouendou Abdel Jelil , Enyong Peter , Hoerauf Achim , Ritter Manuel , Wanji Samuel
Published: December 2024

Background

Mansonella perstans is transmitted by Culicoides species and affects hundred millions of inhabitants in about 33 countries in sub-Saharan Africa. It is known that Mansonellosis due to Mansonella perstans do not result in a clear clinical picture, but down-regulates the immunity of patients predisposing them to other diseases like tuberculosis, HIV and malaria or damping vaccine efficacy. However, research about novel drugs against this filarial nematode is missing because of the lack of parasite material. Previous studies have developed in vitro culture systems using infective stage 3 larvae (L3), but these life stages are difficult to obtain and thus the performance of in vitro cultures is restricted and does not allow large-scale testing of drugs or even infection experiments in animal models. Therefore, we aim to establish a platform for the large-scale production of M. perstans infective larvae from engorged Culicoides milnei.

Methods

Culicoides species were caught in Yangom (Yabassi Health District) in the Littoral Region of Cameroon following a blood meal on six microfilariae-positive donors with different microfilaraemic loads over one year. Engorged midges were reared in the insectarium for up to 14 days and L3 were isolated from the different body parts.

Result

In summary, 13,658 engorged Culicoides were collected and reared in the laboratory. We observed an overall predicted survival of 78.5%. Out of the 8,123 survived midges, 7,086 midges belong to C. milnei, from which 2,335 were infected leading to a recovery of 6,310 L3. Moreover, we found the highest survival rates of midges during the early dry season in December with moderate temperatures (23-25°C) and low (2-4mm) or no rainfall. In addition, we observed that midges that fed on donors with high microfilarial loads showed increased mortality.

Conclusion

We revealed suitable conditions for the collection and maintenance of engorged Culicoides midges allowing the large-scale production of M. perstans L3. This procedure will provide a platform to produce sufficient parasite material that will facilitate in vitro cultures and the establishment of a murine model of M. perstans, which is important for in-depth investigation of the filarial biology and screening of novel drugs that are effective against this ivermectin-resistant nematode.
Pain is what you think: functional magnetic resonance imaging evidence toward a cognitive and affective approach for pain research
Authors: Powers Jocelyn M. , Koning Elena , Ioachim Gabriela , Stroman Patrick W.
Published: December 2024

The sensory/discriminative domain of pain is often given more consideration than the cognitive and affective influences that ultimately make pain what it is: a highly subjective experience that is based on an individual's life history and experiences. While many investigations of the underlying mechanisms of pain have focused on solely noxious stimuli, few have compared somatosensory stimuli that cross the boundary from innocuous to noxious. Of those that have, there is little consensus on the similarities and differences in neural signaling across these sensory domains. The purpose of this study was to apply our established network connectivity analyses toward the goal of understanding the neural mechanisms behind sensory, cognitive, and affective responses to noxious and innocuous stimuli. Functional MRI data were collected from 19 healthy women and men that experienced warm and hot thermal stimuli across multiple trials. This is a within-subjects cross-sectional experimental study with repeated measures. Ratings of stimulus intensity and unpleasantness that were collected during each run confirmed significant perceptual differences between the two types of stimuli. Despite this finding, no group differences in network connectivity were found across conditions. When individual differences related to pain ratings were investigated, subtle differences were found in connectivity that could be attributed to sensory and association regions in the innocuous condition, and cognitive, affective, and autonomic regions in the pain condition. These results were reflected in the time-course data for each condition. Overall, signaling mechanisms for innocuous and noxious somatosensation are intricately linked, but pain-specific perception appears to be driven by our psychological and autonomic states.
HDC downregulation induced by chronic stress promotes ovarian cancer progression via the IL-6/STAT3/S100A9 pathway
Authors: Chen Zhicong , Cao Jinming , Xiao Zhijun , Yang Zhen , Cheng Yuanchi , Duan Jingjing , Zhou Ting , Xu Feng
Published: December 2024

Objective

This study aimed to investigate the underlying mechanism of chronic stress promoting ovarian cancer growth comorbid with depression and evaluate the potential role of histamine (HIS) in treating this comorbidity.

Methods

Chronic unpredictable mild stress (CUMS) was used to establish a comorbid mouse model of ovarian cancer and depression. The behavioral phenotypes were assessed using the sucrose preference test (SPT), tail suspension test (TST), forced swimming test (FST), and open field test (OFT). Ovarian cancer growth was monitored by tracking the tumor volume and weight. Histidine decarboxylase (HDC) expression in the tumor tissue was analyzed using Western blot and qRT-PCR techniques. The serum levels of inflammatory factors (IL-6 and IL-17A), stress hormones (norepinephrine, NE and cortisol, and COR), histamine, and 5-hydroxytryptamine (5-HT) were detected by enzyme-linked immunosorbent assay (ELISA). In vitro experiments were conducted to explore the direct impacts of stress hormones on A2780 and ES-2 ovarian cancer cell lines, as well as the modulation of these effects by histamine. HDC knockdown and overexpression approaches were used to study its regulatory role in the IL-6/STAT3/S100A9 signaling pathway.

Results

Chronic stress not only induced depressive behaviors but also accelerated ovarian cancer growth in mice by downregulating HDC expression in tumors, whereas exogenous HIS treatment alleviated depressive symptoms, suppressed cancer growth, and countered the decreased levels of HIS and increased levels of IL-6, IL-17A, NE, COR, and 5-HT induced by CUMS. Furthermore, HIS positively modulated the immune response by increasing the populations of CD3+T and CD8+ T cells and reducing IL-17A secretion. In vitro experiments revealed that stress hormones downregulated HDC expression, consequently promoting cancer cell proliferation, migration, and invasion via the IL-6/STAT3/S100A9 pathway. Knockdown of HDC activated this pathway, whereas HDC overexpression inhibited its activation.

Conclusion

Chronic stress leads to the downregulation of HDC expression, thereby facilitating the progression of ovarian cancer through the IL-6/STAT3/S100A9 pathway. HIS might serve as a potential molecule for treating the comorbidities of ovarian cancer and depression.
Craving on the move: targeting smoking memories with a novel 3MDR–smoking cessation protocol
Authors: Koomen Annel P. , Kaag Anne Marije , Jongenelen Kees A. M. , Wouters Rianne , van Marle Hein J. F. , van den Heuvel Odile A. , van der Werf Ysbrand D. , De Vries Taco J.
Published: December 2024

Introduction

Improved effectiveness and treatment adherence is needed in smoking cessation (SC) therapies. Another important challenge is to disrupt maladaptive drug-related memories. To achieve these goals, we developed a novel treatment strategy on the basis of motion-assisted memory desensitization and reprocessing (3MDR).

Methods

In this study, the added effect of a distractor task following memory recall during a newly designed 3-day SC version of 3MDR (3MDR-SC) protocol on reducing smoking cue–elicited craving was investigated in abstinent chronic smokers. Chronic smokers were randomly allocated to an active 3MDR-SC group (receiving 3MDR-SC with a working memory distractor task) (n = 42) or a control 3MDR-SC group (receiving 3MDR-SC with a non-distracting task) (n = 39). Smoking cue–induced craving and physiological measures were assessed at baseline (T0) and 1 day after the intervention (T4), and smoking behavior was measured at T0 and 2-week (FU1) and 3-month (FU2) follow-up.

Results

Significant decreases in cue-induced craving from T0 to T4 and daily cigarette use from T0 to FU1 and FU2 were observed but not differ between the two experimental groups. Cue-induced changes in heart-rate variability and skin conductance, which did not differ from T0 to T4, and relapse at FU2 were also not different between groups. Dropout rate during intervention was 2.5%.

Conclusions

The 3-day 3MDR-SC intervention resulted in a reduction in cue-induced craving and smoking behavior and showed very good treatment adherence. There was no added effect of the distractor task on 3MDR-SC efficacy. Further studies, including a treatment as usual control, are needed to confirm 3MDR-SC as an effective SC therapy.
Explainable Thyroid Cancer Diagnosis Through Two-Level Machine Learning Optimization with an Improved Naked Mole-Rat Algorithm
Authors: Książek Wojciech
Published: December 2024

Modern technologies, particularly artificial intelligence methods such as machine learning, hold immense potential for supporting doctors with cancer diagnostics. This study explores the enhancement of popular machine learning methods using a bio-inspired algorithm—the naked mole-rat algorithm (NMRA)—to assess the malignancy of thyroid tumors. The study utilized a novel dataset released in 2022, containing data collected at Shengjing Hospital of China Medical University. The dataset comprises 1232 records described by 19 features. In this research, 10 well-known classifiers, including XGBoost, LightGBM, and random forest, were employed to evaluate the malignancy of thyroid tumors. A key innovation of this study is the application of the naked mole-rat algorithm for parameter optimization and feature selection within the individual classifiers. Among the models tested, the LightGBM classifier demonstrated the highest performance, achieving a classification accuracy of 81.82% and an F1-score of 86.62%, following two-level parameter optimization and feature selection using the naked mole-rat algorithm. Additionally, explainability analysis of the LightGBM model was conducted using SHAP values, providing insights into the decision-making process of the model.
An Algorithm for Determining Pith Position Based on Crown Width Size
Authors: Yao Jianfeng , Shang Xiaowei , Hu Xuefan , Jin Yingshan , Cai Liming , Li Zhuofan , Li Fang , Liang Fang
Published: December 2024

To accurately estimate the pith position, a method was proposed for estimating the pith position by the crown width. The crown widths of 120 trees and radiuses of each disc extracted at the height of 1.3 m from these trees were measured in four directions. The crown and radius ratios of the length of each direction to the total length in that direction and the opposite direction were calculated. Using the crown ratio as an independent variable, as well as the radius ratio as a dependent variable, the linear, logarithmic, exponential, and polynomial models were built. The model with the highest R2 was selected as the radius ratio model. The geometric center method and the crown width method were applied to estimate the pith position, and the estimation errors were calculated, respectively. The R2 of the linear, logarithmic, exponential, and polynomial models were 0.405, 0.379, 0.403, 0.404, respectively, and the linear model was chosen as the radius ratio model. The prediction error based on the crown width was 7.6%, and that of the geometric center method was 10.1%. The findings indicate that the crown width method can improve the accuracy of estimating the pith position.
A Digital Management System for Monitoring Epidemics and the Management of Pine Wilt Disease in East China
Authors: Zhang Yanjun , Chen Weishi , Hu Jiafu , Wang Yongjun
Published: December 2024

The precise monitoring of forest pest and disease outbreaks is a crucial prerequisite for efficient prevention and control. With the extensive application of remote sensing monitoring technology in the forest, a large amount of data on pest and disease outbreaks has been collected. It is highly necessary to practically apply these data and improve the efficiency of forest pest and disease monitoring and management. In this study, a Digital Forest Protection (DFP) system based on the geographic information system (GIS) was designed and developed for pine wilt disease (PWD) monitoring and management, a devastating forest disease caused by the pine wood nematode, Bursaphelenchus xylophilus. The DFP system consists of a mobile app for data collection and a web-based data analysis platform. Meanwhile, artificial intelligence and deep-learning methods had been conducted to integrate a real-time unmanned aerial vehicle (UAV) remote sensing monitoring with PWD detection. This system was implemented in PWD monitoring and management in Zhejiang Province, China, and has been applied in data collection under certain circumstances, including the manual epidemic survey, the UAV epidemic survey, and eradication monitoring, as well as trunk injection. Based on DFP system, the effective monitoring of PWD outbreaks could be achieved, and corresponding efficient management strategies could be formulated in a timely manner. This allows for the possibility to optimize the integrated management strategy of PWD on a large geographic scale.
How Does the Context Shape the Technical Support from the Provincial Health Administration to District Health Management Teams in the Democratic Republic of Congo? A Realist Evaluation
Authors: Bosongo Samuel , Belrhiti Zakaria , Chenge Faustin , Criel Bart , Marchal Bruno , Coppieters Yves
Published: December 2024

Since 2014, the health sector in the Democratic Republic of the Congo has been undergoing reforms aimed at strengthening the Provincial Health Administration (PHA) to better support health district development through technical support to district health management teams (DHMTs). However, there is limited understanding of how, for whom, and under what conditions this support works. Using a realist evaluation approach, this study aimed to test an initial program theory of technical support to DHMTs by PHA staff in Kasai Central Province. Data were collected from document reviews, interviews, questionnaires, and routine health information systems. After thematically analysing the implementation, context, actors, mechanisms, and outcomes, we applied retroductive reasoning to connect these elements using the Intervention–Context–Actors–Mechanisms–Outcomes configurations (ICAMOcs) heuristic. We identified nine ICAMOcs showing how resource constraints and political and organisational challenges hindered the effective delivery of technical support. These challenges triggered disabling mechanisms, such as low motivation, self-efficacy, a sense of accountability, psychological safety, reflexivity, the perceived relevance of support, the perceived credibility of PHA staff, and perceived autonomy, resulting in mixed outcomes. The performance-based financing scheme helped mitigate some issues by providing resources and boosting extrinsic motivation, but concerns persist about its sustainability due to reliance on external funding. These findings highlight the need for strong political commitment and coordinated efforts to address these challenges.
Variations in Cycling Distances by Trip Purpose and Socio-Demographic Attributes: Implications for Spatial Scales to Assess Environmental Correlates of Cycling
Authors: Mohamed Firas , Chandrabose Manoj , Mohammad Forkan Abdur Rahim , Owen Neville , Sugiyama Takemi
Published: December 2024

To better understand environmental attributes associated with cycling, it is necessary to identify an area within which such attributes are measured. Various sizes of a “buffer” drawn from home have been used for this purpose. The distances adults cycle to/from their homes may inform the determination of empirically supported buffer sizes. We examined the distribution of cycling distances using Australian travel survey data collected between 2012 and 2020. We used a Random Forest model to identify the relative importance of factors influencing participant’s cycling distance and then reported variations in cycling distances by the most important factors. Of the 73,142 survey participants who were aged between 20 and 74 and reported at least one trip on the survey day, 1676 (67% men) reported 3446 home-based cycling trips, with a median distance of 3.5 km. The most important factor was trip purpose, followed by gender. The median distances were 1.8 km for utilitarian, 5.3 km for commuting and 3.7 km for recreational cycling trips. Men cycled longer distances than women, particularly for commuting and recreational cycling. The significant variation in cycling distance by trip purpose implies the need for having purpose-specific spatial scales in identifying environmental attributes associated with cycling more accurately.
Corrosion Behavior of Copper Foil on PCB Substrates Under Atmospheric Environment in Sichuan-Tibet Region of China
Authors: Yang Xueqing , Jin Haifeng , Jia Dongfang , Wang Jinke , Chen Zhibin , Tian Rui , Du Shiyao , Ma Lingwei
Published: December 2024

Copper foil is widely used in electronic components and devices. This study investigates the corrosion behavior of copper foil on printed circuit boards exposed for one year in a closed atmospheric environment across 22 different sites in the Sichuan-Tibet region. Through electrochemical, SEM/EDS, and XRD analyses, the corrosion behavior of copper foil material across the five selected sites (Meishan, Mangkang, Luding, Batang, and Panzhihua) and the influence of environmental factors were discussed. The results show that copper foils in areas with a large temperature change, higher humidity, and more rainfall exhibit more severe corrosion. The corrosion products primarily form a double-layer structure; the bottom layer consists of relatively stable Cu2O, while the type of corrosion product in the upper layer is strongly influenced by the local climatic environment, predominantly containing CuSO4, CuSO4(OH), and Cu2Cl(OH)3. In dry areas, copper oxides tend to form, whereas in humid areas, copper sulfides are more likely to grow.
Experimental and Mathematical Modelling Investigation of Plasma Electrolytic Oxidation (PEO) for Surface Hardening of 20Ch Steel
Authors: Kombayev Kuat , Khoshnaw Fuad , Uazyrkhanova Gulzhaz , Moldabayeva Gulzhaz
Published: December 2024

This study aimed to develop an alternative surface hardening technique for low-carbon steel alloy type 20Ch using plasma electrolytic oxidation (PEO). The surface hardening of 20Ch alloy steel samples was achieved through PEO in a Na2CO3 electrolyte solution. Optimal processing parameters were determined experimentally by measuring voltage and applied current. Quenching was performed in the electrolyte stream, and plasma was ionised through excitation. A mathematical model based on thermal conductivity equations and regression analysis was developed to relate the key parameters of the hardening process. The results from both the experimental and mathematical models demonstrated that PEO significantly reduces hardening time compared to traditional methods. The microstructural images revealed the transformation of the coarse-grained pearlite–ferrite structure into quenched martensite. Vickers microhardness tests indicated a substantial increase in surface hardness after PEO treatment, compared to the untreated samples. The major advantages of PEO include lower energy consumption, high quenching rates, and the ability to perform localised surface treatments. These benefits contribute to overall cost reduction, making PEO a promising surface hardening method for various industrial applications.
The Generalized Phase Rule, the Extended Definition of the Degree of Freedom, the Component Rule and the Seven Independent Non-Compositional State Variables: To the 150th Anniversary of the Phase Rule of Gibbs
Authors: Kaptay George
Published: December 2024

The phase rule of Gibbs is one of the basic equations in phase equilibria. Although it has been with us for 150 years, discussions, interpretations and extensions have been published. Here, the following new content is provided: (i). the choice of independent components is discussed, and the component rule is introduced, (ii). independent state variables are divided into compositional and non-compositional ones, (iii). the generalized phase rule is derived replacing number two in the original phase rule by the number of independent non-compositional state variables introduced above, (iv). the degree of freedom is decreased by the number of compositional constraints in special points (azeotrope and congruent melting) of phase diagrams, (v). a rule is derived connecting the maximum number of coexisting phases with the dimensions of the phase diagram, (vi). examples show how to apply the phase rule to unary, binary and ternary phase diagrams and their sections, (vii). the same is extended with the discussion of calculable and not calculable phase fractions, (viii). it is shown that the current definition of the degree of freedom is not sufficient in the number of cases, (ix). the current definition of the degree of freedom is extended, (x). the application of the generalized phase rule is demonstrated when other non-compositional state variables are applied for nano-phase diagrams, and/or for phase diagrams under the influence of electric potential difference, external magnetic field, mechanical strain or the gravitational field.
Plant-Based Diets and Their Associations with Physical Performance in the Baltimore Longitudinal Study of Aging
Authors: Bigman Galya , Rusu Marius Emil , Kleckner Amber S. , Sorkin John D. , Jin Yichen , Talegawkar Sameera A. , Tanaka Toshiko , Ferrucci Luigi , Ryan Alice S.
Published: December 2024

Background: Plant-based diets are associated with various health benefits; however, their impact on physical performance in aging populations remains unclear. Objectives: To investigate the associations between adherence to plant-based diets and physical performance, focusing on their potential protective effects against age-related declines in function. Methods: Data were obtained from men and women aged 40 years or older in the Baltimore Longitudinal Study of Aging (BLSA) (mean ± SD age: 68 ± 13 years at the first dietary visit; n = 1389). Dietary intake was assessed using a food frequency questionnaire (FFQ). Plant-based diets, calculated from 18 food groups, were categorized as overall (PDI), healthful (hPDI), or unhealthful (uPDI), and their tertiles across visits were analyzed. Multivariable linear mixed-effects models were used to examine the association between repeated measurements of three physical performance outcomes—Short Physical Performance Battery (SPPB), grip strength (kg), and gait speed (m/s)—and adherence to each plant-based diet. Results: In fully adjusted models, SPPB and grip strength were significantly associated with both hPDI and uPDI, but not with PDI. For hPDI, the intermediate tertile showed the greatest benefit, with SPPB scores 0.5 points higher (βT2vs.T1 = 0.50, 95% CI: 0.30–0.70, p < 0.001) over the follow-up period. In contrast, for uPDI, a 0.27-point lower SPPB score was seen (βT3vs.T1 = −0.27, 95% CI: −0.48 to −0.07, p = 0.009). Longitudinally, grip strength was positively associated with hPDI (βT3vs.T1 = 1.14, 95% CI: 0.24–2.05, p = 0.0013). Similar results were observed in older adults aged ≥65 years. Conclusions: Adherence to hPDI may benefit lower body function and muscle strength, while uPDI appears to have adverse effects. This suggests that the quality of plant-based foods is essential for maintaining functional well-being in older adults. Further research is needed to confirm these findings, explore underlying mechanisms, and identify strategies to optimize plant-based dietary patterns for aging populations.
Effect of Low- and Moderate-Intensity Aerobic Training on Body Composition Cardiorespiratory Functions, Biochemical Risk Factors and Adipokines in Morbid Obesity
Authors: Horváth Judit , Seres Ildikó , Paragh György , Fülöp Péter , Jenei Zoltán
Published: December 2024

Background: Obesity poses an enormous public health and economic burden worldwide. Visceral fat accumulation is associated with various metabolic and cardiovascular consequences, resulting in an increased prevalence of atherosclerotic conditions. We aimed to examine the impact of low-and moderate-intensity aerobic training on several anthropometric and cardiorespiratory parameters and markers of atherosclerosis, including inflammation, serum levels of lipoproteins and adipokines of extremely obese patients in poor condition. Methods: Forty severely obese patients were recruited and randomized into two groups, Group 1 and Group 2, for a six-week inpatient study. Group 1 received moderate-intensity (40–60% heart rate reserve) and Group 2 received low-intensity (30–39% of heart rate reserve) aerobic training combined with resistance training. The patients’ cardiorespiratory functions were assessed by ergospirometry. Anthropometric data were recorded, body composition was analyzed and functional tests were performed. We also investigated serum lipids and high-sensitive C-reactive protein levels and calculated the homeostatic model assessment-insulin resistance indices and adipokine levels as predictive biomarkers. Results: Functional abilities and some biochemical parameters, such as homeostatic model assessment-insulin resistance, serum lipids, apolipoprotein A and apolipoprotein-B improved in both groups in a positive direction. However, cardiorespiratory capacity and the serum levels of high-sensitive C-reactive protein and Lipocalin-2 decreased, while irisin and paraoxonase 1 increased significantly, but only in Group 1. Conclusions: Six weeks of aerobic training, regardless of its intensity, could induce favorable changes in functional tests, body composition and serum lipids, even in severely obese, extremely unconditioned patients in both groups. However, moderate-intensity aerobic training should at least increase cardiorespiratory capacity and yield a better lipid profile oxidative status and inflammation profile.
Nutritional Adequacy of Flour Product Enrichment with Iodine-Fortified Plant-Based Products
Authors: Jankowska Agata , Szymandera-Buszka Krystyna
Published: December 2024

This study assessed the nutritional value of designed vegan flour products (Gnocchi and Ciabatta) by adding iodine-fortified dried vegetables. The KI and KIO3 constituted the sources of iodine. The pumpkin, cauliflower, carrot, broccoli and beetroot were used as a matrix for the iodine applied. The nutritional value was tested based on iodine content and antioxidant activity. The content of thiamine was determined in samples of Ciabatta rolls. The antioxidant activity of Gnocchi dumplings and Ciabatta rolls was analysed before and after heat treatment (baking and cooking) and after storage. It was confirmed that the designed cereal products (Ciabatta rolls and Gnocchi dumplings) with the addition of iodine-fortified dried vegetables are a good source of iodine in the diet and can be used as an element of IDD prevention. Consuming 100 g of Ciabatta rolls (1 pc.) provides coverage of iodine demand at the level of ~6% RDA, while 100 g of Gnocchi dumplings (20 pcs.) provides ~19% RDA. The type of iodine carrier (KI or KIO3) and type of vegetable for iodine introduced into cereal products affect the content of selected nutritional value indicators, such as iodine and thiamine content and antioxidant properties of the product.
Combination of Inulin and Resistant Dextrin Has Superior Prebiotic Effects and Reduces Gas Production During In Vitro Fermentation of Fecal Samples from Older People
Authors: Yoshida Kazuma , Kokubo Eri , Morita Shunsuke , Sonoki Hirofumi , Miyaji Kazuhiro
Published: December 2024

Background: Older people are more susceptible to deterioration of the gut microbiota. Prebiotics help improve the gut microbiota. Inulin, a major prebiotic, stimulates the growth of Bifidobacterium; however, it produces a large amount of gas, which leads to abdominal symptoms. Methods: In this study, in vitro fecal fermentation was performed using fecal samples from seven older people (mean subject age, 73.4 years; five men and two women) to examine whether combining inulin with another prebiotic material, resistant dextrin, could lead to decreased gas production and show prebiotic effects. Results: The Bifidobacterium counts and short-chain fatty acid production did not differ significantly between the inulin 0.5% group and the inulin 0.25% plus resistant dextrin 0.25% combination group. However, the inulin 0.25% plus resistant dextrin 0.25% combination group had lower gas production than the inulin 0.5% group (p < 0.10). Furthermore, compared with the inulin 0.5% group, the 0.25% combination group showed significantly greater gut microbiota diversity and tended toward a lower pH in the fermentation medium at the end of fermentation (p = 0.09). These effects are believed to be due to the combination of inulin, which is highly selective for Bifidobacterium and rapidly utilized by the gut microbiota, and resistant dextrin, which is slowly utilized by various bacterial genera. Conclusions: These findings suggest that the inulin plus resistant dextrin combination has superior prebiotic effects in older people and causes less gas production than inulin alone.
A Quantitative Chemometric Study of Pharmaceutical Tablet Formulations Using Multi-Spectroscopic Fibre Optic Probes
Authors: Remoto Peter J. G. , Gordon Keith C. , Fraser-Miller Sara J.
Published: December 2024

Background/Objectives: Two fibre optic probes were custom designed to perform Raman and near-infrared spectroscopic measurements. Our long-term objective is to develop a non-destructive tool able to collect data in hard-to-access locations for real-time analysis or diagnostic purposes. This study evaluated the quantitative performances of Probe A and Probe B using model pharmaceutical tablets. Methods: Measurements were performed using pharmaceutical tablets containing hydroxyl propylcellulose, titanium dioxide (anatase), lactose monohydrate, and indomethacin (γ form). Material content and thickness of bilayer samples (samples consisting of a top layer and a bottom layer of differing materials) were also assessed using Probe A to evaluate its capabilities to collect sub-surface information. Principal component analysis and partial least squares regression models were using individual and fused data to evaluate the performances of the different probe configurations. Results: Hydroxymethyl cellulose (RP2=0.98, RMSEP = 2.27% w/w) and lactose monohydrate (RP2=0.97, RMSEP = 2.96% w/w) content were most effectively estimated by near-infrared spectroscopy data collected using Probe A. Titanium dioxide (RP2=0.99, RMSEP = 0.21% w/w) content was most effectively estimated using a combination of 785 nm Raman spectroscopy and near-infrared spectroscopy using Probe B. Indomethacin (RP2=0.97, RMSEP = 1.01% w/w) was best estimated using a low-level fused dataset collected using 0 mm, 2.5 mm, and 5.0 mm lateral offsets of 785 nm spatially offset Raman spectroscopy using Probe A. Conclusions: The different probe configurations were able to reliably collect data and demonstrated robust quantitative performances. These results highlight the advantage of using multiple techniques for analysing different structures.
FDA-Approved Hydrogel-Mediated In Situ Sonodynamic and Chemotherapeutic Therapy for Pancreatic Cancer
Authors: Wang Jian , Yu Nianhui , Tang Yunpeng , Cheng Yingsheng , Li Hui
Published: December 2024

Background: Albumin-bound paclitaxel (nab-PTX) nanoparticles have been proven effective in treating advanced pancreatic cancer. However, the clinical application of nab-PTX nanoparticles is often associated with suboptimal outcomes and severe side effects due to its non-specific distribution and rapid clearance. This study aims to develop a novel nanoplatform that integrates sonodynamic therapy (SDT) and chemotherapy to enhance treatment efficacy and reduce systemic side effects. Methods: Bovine serum albumin (BSA) was conjugated with chlorin e6 and paclitaxel (PTX) to form stable nanoparticles (NPs). These NPs were then incorporated into a biodegradable poly(lactic-co-glycolic acid)–b-polyethylene glycol–b–poly(lactic-co-glycolic acid) hydrogel for targeted drug delivery. The system’s stability and drug release profile were analyzed, followed by in vitro studies to evaluate cellular uptake and cancer cell killing efficacy. In vivo evaluation was performed using pancreatic cancer xenograft models, with intratumoral injection of the drug-loaded hydrogel. Results: The developed hydrogel system demonstrated enhanced stability and sustained release of PTX. In vitro analyses revealed significant cellular uptake and synergistic cancer cell killing effects through combined SDT and chemotherapy. In vivo studies showed prolonged intratumoral retention of the drug and remarkable inhibition of tumor growth. Conclusions: This novel nanoplatform offers a promising approach for improving pancreatic cancer treatment by enhancing intratumoral drug retention and minimizing systemic side effects. The synergistic effects of SDT and chemotherapy demonstrate the potential of this strategy in achieving better therapeutic outcomes.
Thermal Patterns at the Campi Flegrei Caldera Inferred from Satellite Data and Independent Component Analysis
Authors: Mercogliano Francesco , Barone Andrea , D’Auria Luca , Castaldo Raffaele , Silvestri Malvina , Bellucci Sessa Eliana , Caputo Teresa , Stroppiana Daniela , Caliro Stefano , Minopoli Carmine , Avino Rosario , Tizzani Pietro
Published: December 2024

In volcanic regions, the analysis of Thermal InfraRed (TIR) satellite imagery for Land Surface Temperature (LST) retrieval is a valid technique to detect ground thermal anomalies. This allows us to achieve rapid characterization of the shallow thermal field, supporting ground surveillance networks in monitoring volcanic activity. However, surface temperature can be influenced by processes of different natures, which interact and mutually interfere, making it challenging to interpret the spatio-temporal variations in the LST parameter. In this paper, we use a workflow to detect the main thermal patterns in active volcanic areas by analyzing the Independent Component Analysis (ICA) results applied to satellite nighttime TIR imagery time series. We employed the proposed approach to study the surface temperature distribution at the Campi Flegrei caldera volcanic site (Southern Italy, Naples) during the 2013–2022 time interval. The results revealed the contribution of four main distinctive thermal patterns, which reflect the endogenous processes occurring at the Solfatara crater, the environmental processes affecting the Agnano plain, the unique microclimate of the Astroni crater, and the morphoclimatic aspects of the entire volcanic area.
Perceptual Quality Assessment for Pansharpened Images Based on Deep Feature Similarity Measure
Authors: Zhang Zhenhua , Zhang Shenfu , Meng Xiangchao , Chen Liang , Shao Feng
Published: December 2024

Pan-sharpening aims to generate high-resolution (HR) multispectral (MS) images by fusing HR panchromatic (PAN) and low-resolution (LR) MS images covering the same area. However, due to the lack of real HR MS reference images, how to accurately evaluate the quality of a fused image without reference is challenging. On the one hand, most methods evaluate the quality of the fused image using the full-reference indices based on the simulated experimental data on the popular Wald’s protocol; however, this remains controversial to the full-resolution data fusion. On the other hand, existing limited no reference methods, most of which depend on manually crafted features, cannot fully capture the sensitive spatial/spectral distortions of the fused image. Therefore, this paper proposes a perceptual quality assessment method based on deep feature similarity measure. The proposed network includes spatial/spectral feature extraction and similarity measure (FESM) branch and overall evaluation network. The Siamese FESM branch extracts the spatial and spectral deep features and calculates the similarity of the corresponding pair of deep features to obtain the spatial and spectral feature parameters, and then, the overall evaluation network realizes the overall quality assessment. Moreover, we propose to quantify both the overall precision of all the training samples and the variations among different fusion methods in a batch, thereby enhancing the network’s accuracy and robustness. The proposed method was trained and tested on a large subjective evaluation dataset comprising 13,620 fused images. The experimental results suggested the effectiveness and the competitive performance.
The Analysis and Validation of the Measured Heating Energy Consumption of a Single-Family Residential Passive House in Lithuania
Authors: Adomaitis Rimvydas , Valančius Kęstutis , Streckienė Giedrė
Published: December 2024

To build a sustainable building, we need to assess a range of sustainability aspects and design them correctly, which is why building performance simulation (BPS) at an early stage of project development is critical and relevant for many professionals. This paper presents an extended analysis of the monitoring results of the first single-family Passive House (LT-PH3) in Vilnius, Lithuania, certified by the German Passive House Institute in 2015 for 2016–2020. It was based on measured data on heat pump electricity consumption and outdoor and indoor air temperature. This study evaluated the seasonal performance (SCOP) of the heat pump using the Passive House Design Package 8.5 (PHPP 8.5) and Aquarea Designer Online Simulation Software Tool 2013 (Aquarea 2013) and compared the performance of the building with the PHPP 8.5 designed in 2013 and Swegon ESBO Light 2.4.0.3 (Swegon 2.4.0.3), Aquarea 2013, and the results obtained using the Lithuanian National Building Energy Performance Certification Programme NRGsert edition 3 (NRGsert 3). The analysis showed that the heat consumption of the building modelled during the design process is close to the operational heat consumption, which increases the confidence in the BPS modelling software, the modelling process itself, and the results.
Impact and Mechanism Analysis of Environmental Protection Fee and Tax Reform on the ESG Performance of Heavy Polluting Enterprises
Authors: Guo Xue , Li Mengyang , Liu Qingyue , Mao Zimo
Published: December 2024

Recently, China has advocated for the comprehensive implementation of the new development concept and the enhancement of the national governance system and capacity, particularly in the area of ecology and environmental management. Environmental fee and tax reform has improved China’s modern environmental governance system and deepened the concept of sustainable development of enterprises. In the background of China’s strong call for green transformation and sustainable development, enterprises, as micro subjects in the operation of the market economy, are obliged to balance the concepts of business operation and sustainable development, and to practice and implement the ESG concept. Using a sample of A-share listed companies in China from 2014 to 2022, we conducted an in-depth analysis of the impact of environmental protection tax reform on corporate ESG performance through the difference-in-differences (DID) empirical approach. The results show that (1) the environmental protection fee and tax reform enhances the ESG performance of heavy polluters, and the impact coefficient is around 1.7 to 2.0. The reform exerts the strongest stimulatory effect on the environmental impact (E), with the stimulatory effect being about five times that of the aspect of social responsibility (S). (2) The environmental protection fee and tax reform enhances the ESG performance of heavily polluting firms by promoting green transformation of firms, investor attention, and the government’s focus on the environment. The impact mechanism passes a series of robustness tests, such as the parallel trend test, placebo test, and exclusion of other policy interferences. (3) The environmental protection fee and tax reform enhances the ESG performance of government-owned heavy polluting firms more than private firms. Among different regions, the ESG performance of enterprises in the central region has witnessed the largest improvement margin, while that of enterprises in the western region has the smallest improvement margin.
Comparative Life Cycle Assessment (LCA) in the Agri-Food Industry, Focusing on Organic and Conventional Coffee
Authors: Hasan Yusra , Roy Poritosh , Abbassi Bassim
Published: December 2024

This study evaluates the environmental burden of organic and conventional coffee systems with a functional unit (FU) of 1 kg for market-ready, dried coffee. The ISO 14040 and ISO 14044 framework and guidelines are applied to organic and conventional coffee systems, using a cradle-to-grave approach and the methodology of ReCiPe Endpoint 2008, cumulative energy demand (CED), and the Intergovernmental Panel for Climate Change (IPCC). Superior sustainability was achieved for organic coffee compared to the performance of conventional coffee, with values of 218.50 mPt (conventional) and 146.10 mPt (organic), and a global warming potential (GWP) of 2.12 kg CO2 eq FU−1 (organic) and 1.44 kg CO2 eq FU−1 (conventional). CED fossil-based consumption totalled 25 MJ and 35 MJ for organic and conventional coffee systems, respectively. Conventional and organic coffee system hotspots stemmed from the planting (chemical fertilizer), drying, and packaging processes. This study emphasizes the environmental benefits of organic practices and their relatively lower impact than conventional methods. Within a growing sector, best management practices in the form of actionable insights from a life cycle assessment must be sought to ensure environmental sustainability in parallel with the UN’s goals.
Urban–Rural Disparities in Greenhouse Gas Emissions: Fuel Consumption in Moldovan Households and Implications for Energy Policies
Authors: Siminiuc Rodica , Țurcanu Dinu , Vîrlan Anna
Published: December 2024

Climate change, driven by greenhouse gas (GHG) emissions, poses a critical global challenge, with household energy use as a significant contributor. In the Republic of Moldova, stark urban–rural disparities in fuel consumption and emissions necessitate targeted research to inform effective energy policies. This study analyzes GHG emissions from household fuel consumption, focusing on the differences between urban and rural areas, using a quantitative approach guided by the Intergovernmental Panel on Climate Change (IPCC) methodologies. The findings reveal that rural areas, heavily reliant on traditional fuels like firewood, contribute disproportionately to emissions compared to urban areas, where modern energy sources such as natural gas dominate. Nationally, the research provides critical data to shape energy transition strategies, promoting renewable energy adoption and energy efficiency in rural areas. Internationally, it offers a valuable case study on household emission dynamics in developing countries, contributing to the global understanding of energy use patterns and their environmental impacts. Recommendations include enhancing access to cleaner energy, modernizing infrastructure, and encouraging sustainable practices to align with Moldova’s commitment to GHG reduction goals and serve as a model for similar contexts worldwide.
Heterogeneities in Farmers’ Preference for Advisory Services: A Choice Experiment of Vegetable Growers in North-Western Ethiopia
Authors: Teferi Ermias Tesfaye , Worku Tigist Damtew , Wassie Solomon Bizuayehu , Muller Bernd , Abdulai Abdul-Rahim , Termote Céline
Published: December 2024

This study investigated vegetable farmers’ willingness-to-pay (WTP) for private agricultural advisory services in northwestern Ethiopia. Understanding farmers’ preferences is a crucial step for modernizing agricultural advisory services and transforming smallholder agri-food systems into a sustainable path. Discrete choice experiment data from 393 farm households were analyzed using a random parameter logit model (RPL). The results revealed that vegetable farmers are willing to pay for practice-oriented private advisory services. The result also showed the existence of heterogeneity in farmers’ preference for features of vegetable advisory services. Household heads’ educational status and age influenced preferences for advisory service features. The result is substantiated by the fact that merely 25.5% of the sample households acquired formal education. Farmers in general preferred extension services with frequent expert visits and practical engagement on-farm as opposed to digitized options that rely on short message service (SMS) and voice-based guidance. Additionally, farmers are willing to pay an ETB 120.89 and ETB 203.94 monthly fee for an extension service that emphasizes fruity and root and tuber vegetables, respectively, as opposed to leafy vegetables. The findings imply initiatives that push for commercializing agricultural advisory services should strive to achieve a balance between the practical application and digitization of extension services accounting for the heterogeneous preferences of smallholder farmers.