bluuebunny/crossref_metadata_2025 huggingface dataset:
Porous fiber materials can alleviate the risk of farmland drought and flooding disasters and prompt crop growth
Authors: Qin Tianling , Liu Shanshan , Li Wei , Xu Shu , Lu Jie , Lv Zhenyu , Abebe Sintayehu A.
Published: October 2023

Floods and droughts on farmland seriously damage agricultural production. Porous fiber materials (PFM) made from mineral rocks have high porosity, permeability, and water retention and are utilized widely in green roofs and agricultural production. Therefore, studying the impact of PFM on the improvement of farmland is of great importance for soil and water conservation. We set 64 extreme rainfalls to analyze the impact of PFM on soil water content (SWC), runoff, nutrient loss, microorganism, and plant growth. The results showed that PFM can effectively reduce runoff and improve soil water distribution, and enhance the soil water holding capacity. Furthermore, PFM reduced the loss of nitrogen and phosphorus by 18.3% to 97% in the runoff, and the soil erosion of summer corn was more strongly influenced by lower vegetation cover, compared with winter wheat. Finally, when PFM was buried in the soil, the wheat yield increased by −6.7%–20.4%, but the corn yield in some PFM groups decreased by 5.1% to 42.5% under short-duration irrigation conditions. Our study emphasizes that the effectiveness of PFM depends mainly on the following: First, PFM with high porosity can increase soil water holding capacity and timely replenish the water lost from the surrounding soil. Second, PFM with high permeability can increase infiltration during rainfall and decrease runoff and nutrient loss, reducing the risk of farmland flooding and pollution. Finally, PFM consists of gold ions and alkali metal oxides, which can stabilize agglomerates and improve soil enzyme activity, thereby increasing the relative abundance of some microbial strains and promoting crop growth. However, when the rainfall amount was low or PFM volume was large, PFM could not store water sufficiently during rainfall, which seriously reduced the maximum saturated moisture content and water absorption performance. Meanwhile, the PFM could not release water in time and replenish the soil water deficit, which increased drought risk. In conclusion, the appropriate volume of PFM and irrigation system may enhance soil water storage capacity, minimize agricultural pollution, and promote crop production.
Non-destructive detection of protein content in mulberry leaves by using hyperspectral imaging
Authors: Li Xunlan , Peng Fangfang , Wei Zhaoxin , Han Guohui , Liu Jianfei
Published: October 2023

Protein content is one of the most important indicators for assessing the quality of mulberry leaves. This work is carried out for the rapid and non-destructive detection of protein content of mulberry leaves using hyperspectral imaging (HSI) (Specim FX10 and FX17, Spectral Imaging Ltd., Oulu, Finland). The spectral range of the HSI acquisition system and data processing methods (pretreatment, feature extraction, and modeling) is compared. Hyperspectral images of three spectral ranges in 400–1,000 nm (Spectral Range I), 900–1,700 nm (Spectral Range II), and 400–1,700 nm (Spectral Range III) were considered. With standard normal variate (SNV), Savitzky–Golay first-order derivation, and multiplicative scatter correction used to preprocess the spectral data, and successive projections algorithm (SPA), competitive adaptive reweighted sampling, and random frog used to extract the characteristic wavelengths, regression models are constructed by using partial least square and least squares-support vector machine (LS-SVM). The protein content distribution of mulberry leaves is visualized based on the best model. The results show that the best results are obtained with the application of the model constructed by combining SNV with SPA and LS-SVM, showing an R2 of up to 0.93, an RMSE of just 0.71 g/100 g, and an RPD of up to 3.83 based on the HSI acquisition system of 900–1700 nm. The protein content distribution map of mulberry leaves shows that the protein of healthy mulberry leaves distributes evenly among the mesophyll, with less protein content in the vein of the leaves. The above results show that rapid, non-destructive, and high-precision detection of protein content of mulberry leaves can be achieved by applying the SWIR HSI acquisition system combined with the SNV-SPA-LS-SVM algorithm.
Helper Syndrome and Pathological Altruism in nurses – a study in times of the COVID-19 pandemic
Authors: Maringgele Victoria E. , Scherr Martin , Aichhorn Wolfgang , Kaiser Andreas K.
Published: October 2023

Background

Pathological Altruism and the concept of Helper Syndrome are comparable. We focused on Schmidbauer’s description because it provides a comprehensive and testable definition. Nevertheless, this concept of Helper Syndrome has not yet been empirically investigated in a sample of helping professionals.

Aim

To investigate whether nurses working with covid-19 patients are more likely to have Helper Syndrome compared with individuals from non-helper professions.

Methods

The online survey took place between April 2021 and February 2022, in urban and rural regions of Salzburg, during the time of the COVID-19 pandemic. Nurses (n = 447) and controls (n = 295) were compared regarding Helper Syndrome characteristics. To measure characteristics of Helper Syndrome the following questionnaires were used: WHO-Five (WHO-5), selected scales of the Personality, Style and Disorder Inventory (PSSI) and the Freiburg Personality Inventory-Revised (FPI-R), the Alcohol Use Disorders Identification Test (AUDIT). Insecure gender identity and self-assessment of having a Helper Syndrome was measured by a Likert scale.

Results

In both groups, Helper Syndrome was detected (nurses 29.5%, controls 30.5%). Participants with Helper Syndrome showed significant differences in personality styles and traits, namely significantly higher scores for Foreboding-Schizotypical Personality Style, Spontaneous-Borderline Personality Style, Amiable-Histrionic Personality Style, Ambitious-Narcissistic Personality Style, Loyal-Dependent Personality Style, Helpful-Selfless Personality Style, Carefully-Obsessive Personality Style, Optimistic-Rhapsodic Personality Style, Social Orientation, Strain, Emotionality and lower well-being. The only difference between nurses and controls was that nurses were significantly less open aggressive.

Conclusion

For the first time, we were able to demonstrate Schmidbauer’s concept of Helper Syndrome. According to our data, we found a subgroup of individuals similar to Schmidbauer’s description of Helper Syndrome, but this sample was independent of helping or non-helping profession. These individuals seem to be at higher risk for psychiatric disorders.
Increase in presentations with new-onset psychiatric disorders in a psychiatric emergency department in Berlin, Germany during the second wave of the COVID-19 pandemic – a retrospective cross-sectional study
Authors: Adam Maia , Moran James K. , Kippe Yann David , Schouler-Ocak Meryam , Bermpohl Felix , Gutwinski Stefan , Goldschmidt Thomas
Published: October 2023

Introduction

While numerous studies have identified an increase in symptoms of depression as well as anxiety and distress due to the COVID-19 pandemic, relatively few studies have investigated the new-onset of psychiatric diseases during the pandemic.

Methods

This study focuses on the number of psychiatric new-onset diagnoses in a psychiatric emergency department (pED) in Berlin, Germany during the second wave of the pandemic (i.e. from 09/15/2020 to 03/01/2021 = COVID-19-period) compared to pre-pandemic times (09/15/2019 to 03/01/2020 = control period). We focused on diagnostic subgroups and performed logistic regression analysis to investigate potential risk groups based on covariables such as age, gender, homelessness, attending in police custody and familial relationship.

Results

Overall, there was a 59.7% increase in new-onset psychiatric diagnoses during the COVID-19-period. Increases in the following diagnoses were observed: new-onset of substance-related and addictive disorders (+192.5%), depressive disorders (+115.8%), schizophrenia spectrum and psychotic disorders (+113.3%) and anxiety disorders (+63.6%). These diagnostic subgroups, together with attending in police custody, were found to predict pED presentations with new-onset during the COVID-19-period. Interestingly, in the group of new-onset psychiatric diseases in the COVID-19-period, higher amounts of job loss and living alone as well as a relative decrease in familial relationships were observed.

Discussion

COVID-19 infections and post-COVID-19 syndrome are unlikely to have played a substantial role in the increase of new-onset diseases in this study. Conclusion: Our findings underline the role of indirect factors in new-onset of psychiatric diseases during the pandemic and should be a caveat for future pandemic control policies.
The role of patient volunteers in Fangcang Shelter Hospital during the Omicron wave of COVID-19 pandemic in Shanghai, China: a qualitative study
Authors: Zhu Lingyan , Xu Mengqi , Ruan Tiantian , Huang Xiaoli , Cen Jue
Published: October 2023

Objective

During the Omicron wave of the COVID-19 pandemic in Shanghai, Fangcang Shelter Hospital (FSH) served as the major way in patient quarantine. Many COVID patients served as volunteers in FSH providing a lot of assistance for the medical workers and other COVID patients. The aim of this study was to explore the experiences of patient volunteers in FSH. It helps health professionals better understand their motivational incentives and barriers in their volunteer work, and improves recruiting and managing volunteers in subsequent public health emergencies.

Methods

This is a qualitative study using semi-structured interviews. Thirteen patient volunteers working in an FSH in Shanghai were included. Thematic analysis was applied to data analysis.

Results

Four themes and nine subthemes were identified. The wishes to give back to society and the responsibility of politics and religion were the main reasons for the patients to serve as volunteers in FSH. The patient volunteers served as the bridge to reduce the communication barriers between other patients and healthcare professionals. They also provided support in supply distribution and psychological counseling. They viewed voluntary work as a usual task and tried to solve the barriers in their work. In turn, the voluntary work brought them benefits in mental and physical health, as well as another chance for growth.

Conclusion

Working as volunteers in FSHs not only brought personal benefits to the COVID patients but also fulfilled the needs of the healthcare system during public health emergencies. The mode of mutual help between patients could be taken as an example in other public health emergencies.
The impact of urban green space on the health of middle-aged and older adults
Authors: Li Qiangyi , Liu Yangqing , Yang Lan , Ge Jiexiao , Chang Xiaona , Zhang Xiaohui
Published: October 2023

Introduction

Urban green space is one of the most closely related ecosystem services to residents’ lives, and it can be regarded as a preventive public health measure. Residents living in parks and other green environments can help improve their physical and mental health, reduce stress and even prevent crime and violence. Therefore, based on the actual situation in China, this paper analyzes the relationship between urban green space and the health of middle-aged and older adults and its mechanisms.

Methods

This study used multiple linear regression, based the data from the China Health and Retirement Longitudinal Study (CHARLS) in 2013, 2015, and 2018, to explore the relationship between urban green space and the health of middle-aged and older adults. At the same time, group regression was conducted to identify the heterogeneity of health effects of urban green space.

Results

The research shows that the increase of urban green space areas can significantly improve the health status of middle-aged and older adults. After a series of robustness tests, the results are still valid. In addition, the health effects of urban green space are different because of gender, age, education level, marital status residence, geographical location of the respondents and park quantity distribution. Further research found that reducing hot weather and optimizing air quality are the potential mechanisms of urban green space affecting the health of middle-aged and older adults, providing new evidence for the causal mechanism between urban green space and the health of middle-aged and older adults.

Discussion

This study expanded the research scope of the impact of urban green space on the health of middle-aged and older adults, covering a representative sample in China. The results show that urban green space has an important impact on the health of middle-aged and older adults. Policy suggestions are made to help cities optimize the landscape and residents to enjoy ecology.
Sahel terrorist crisis and development priorities: case of financial allocations for the control of non-communicable diseases in Burkina Faso
Authors: Ouedraogo Moussa , Sanou Dia , Kere Ines Wendlassida Zaheira , Sankara Souleymane , Thiombiano-Coulibaly Nana , Ouedraogo Ousmane , Zoungrana Bassibila , Hama-Ba Fatoumata , Savadogo Aly
Published: October 2023

In Africa, nearly 46% of all mortality will be attributed to non-communicable diseases (NCDs) by 2030. While the cost of inaction far exceeds the cost of action against NCDs, global funding for the prevention and control of NCDs is minimal. The objective of this was to explore the Ministry of Health budget allocations for NCDs from 2010 to 2020 as well as the effect of the terrorism crisis on these allocations. The methodology was based on the budget tracking tool developed by the Scaling Up Nutrition Movement. Twenty-nine budget lines related to the prevention and/or control of NCDs have been identified. About 29.9 million USD were allocated to the fight against NCDs with an absorption rate of more than 98%.There is an upward trend of allocated budget characterized by an exponential increase from the development of the national integrated strategic plan for the fight against NCDs (2016–2020). In 2017, an increase of 184% compared to 2016 was observed. However, the efforts were challenged by the emergence of the terrorist threat which triggered in January 2016, leading to a drastic reduction in allocations for NCDs in favor likely of defense and security priorities as well as addressing the needs of internally displaced persons. A trend analysis suggests that the NCDs budget significantly decrease as the country global terrorist index increase. Further analysis is needed to better understand the implication on NCD incidence, and identify advocacy opportunities for mitigating the negative impact of the terrorist treat on NCDs and other development issues.
Artificial intelligence-driven approach for patient-focused drug development
Authors: Karmalkar Prathamesh , Gurulingappa Harsha , Spies Erica , Flynn Jennifer A.
Published: October 2023

Patients' increasing digital participation provides an opportunity to pursue patient-centric research and drug development by understanding their needs. Social media has proven to be one of the most useful data sources when it comes to understanding a company's potential audience to drive more targeted impact. Navigating through an ocean of information is a tedious task where techniques such as artificial intelligence and text analytics have proven effective in identifying relevant posts for healthcare business questions. Here, we present an enterprise-ready, scalable solution demonstrating the feasibility and utility of social media-based patient experience data for use in research and development through capturing and assessing patient experiences and expectations on disease, treatment options, and unmet needs while creating a playbook for roll-out to other indications and therapeutic areas.
Knowledge mapping of immunotherapy in castration-resistant prostate cancer: a bibliometric and visualized study (2003–2022)
Authors: Cai Xianfu , Ding Chenguang , Li Yang , Zheng Jin , Xue Wujun
Published: October 2023

Objective

To utilize bibliometric analysis to examine the literature about immunotherapy for castration-resistant prostate cancer published within the past two decades. Through this method, we aim to visualize and analyze the research progress in this field and identify the most recent trends and developments.

Methods

This research conducted a comprehensive literature review on immunotherapy for castration-resistant prostate cancer. The time frame spanned from January 2003 to December 2022, and the data were extracted from the Web of Science Core Collection database. The application of various software tools, such as CiteSpace, Bibliometrix, and VOSviewer, facilitated the visualization and analysis of the gathered data. These technological utilities illustrated the progression of prominent focus areas within the field.

Results

After excluding irrelevant studies, 373 papers were selected for this study. The findings suggested that the field of immunotherapy for castration-resistant prostate cancer was rapidly developing. The USA was considered to have a significant early entrant advantage in this area and profoundly influenced the field. Similarly, China’s National Cancer center demonstrated notable advantages as a recent participant in this research domain. Major research institutions contributing to the field include the University of California, San Francisco; the University of Washington; and the Memorial Sloan Kettering Cancer Research Center. Notably, US authors James L. Gulley, Charles G. Drake, and Lawrence Fong had the largest number of publications in this area. The main research trends for immunotherapy of castration-resistant prostate cancer are membrane antigen expression, checkpoints T-lymphocyte-associated protein 4 (CTLA4) blockade, radium-223, and vaccines, and the refinement of establishing organoid models might fuel castration-resistant prostate cancer immunotherapy research in the ongoing development.

Conclusion

The key trends in immunotherapy research for castration-resistant prostate cancer are membrane antigen expression, CTLA4 blockade, radium-223, and vaccines. Exploring new immune pathways and combining different therapeutic approaches to enhance immune response will be a major trend in the field in the future.
Numerical Study of the Effects of Injection Conditions on Rotating Detonation Engine Propulsive Performance
Authors: Shi Lisong , Fan E , Shen Hua , Wen Chih-Yung , Shang Shuai , Hu Hongbo
Published: October 2023

A three-dimensional upwind conservation element and solution element method (CESE) in cylindrical coordinates is first developed to effectively solve the unsteady reactive Euler equations governing a hydrogen–air rotating detonation engine (RDE) with coaxial structures. The effects of the annular width on the structure of the detonation front and the relationship between the thrust and mass flow rate are then investigated. Additionally, RDEs with various injection conditions are systematically analyzed regarding flow patterns and propulsion performance. The results reveal a positive correlation between the specific impulse and the area ratio of the injection slot to the head-end wall. Nevertheless, the specific impulse shows minimal dependence on the injector slot’s location when the area ratio is constant. Ultimately, it is concluded that the area ratio between the injector and the head-end wall is critical in determining the loss of specific impulse.
Optimal Sequencing of Arrival Flights at Metroplex Airports: A Study on Shared Waypoints Based on Path Selection and Rolling Horizon Control
Authors: Jiang Furong , Zhang Zhaoning
Published: October 2023

The civil aviation industry is experiencing significant growth in air traffic density within terminal areas, necessitating improved air traffic efficiency. In China’s pursuit of world-class airport clusters, operational complexities arise due to the co-location of these airports in the same terminal area airspace, resulting in lower operational efficiency. To mitigate congestion and flight delays, this study proposes an integrated model that considers multiple runways and route selections, accounting for actual route point restrictions. Utilizing actual operational data from Shanghai metroplex, the proposed model is validated. The study focuses on the airport metroplex system and presents a comprehensive mixed-integer programming (MIP) model for arrival sequencing, considering multiple airports, runways, and routes. The maximum landing efficiency is adopted as the objective function, optimizing arrival scheduling while considering time intervals, route selection, and landing constraints. The Multi-waypoint Rolling Horizon Control (MWRHC) algorithm is employed to tackle time-efficiency challenges, ensuring flight safety by continuous monitoring of flights in the terminal area. Comparative analysis reveals the algorithm’s superior optimization performance for single-runway airports compared to dual-runway airports. Overall, the proposed model and algorithm effectively improve the efficiency of multi-airport arrival scheduling in airport metroplex systems.
Nicotinamide Riboside and Phycocyanin Oligopeptides Affect Stress Susceptibility in Chronic Corticosterone-Exposed Rats
Authors: Orhan Cemal , Sahin Emre , Tuzcu Mehmet , Sahin Nurhan , Celik Abdullah , Ojalvo Sara Perez , Sylla Sarah , Komorowski James R. , Sahin Kazim
Published: October 2023

Nicotinamide riboside (NR) is an NAD+ precursor capable of regulating mammalian cellular metabolism. Phycocyanin oligopeptide (PC), a phytonutrient found in blue-green algae, has antioxidant and anti-inflammatory properties. This study explored the effects of NR, PC, and their combination on the telomere length as well as inflammatory and antioxidant status of rats under chronic stress conditions (CS). Forty-nine rats were allocated into seven groups: control, chronic stress (CS), CS with NR (26.44 mg/kg), a low dose of 2.64 mg/kg of PC (PC-LD), or a high dose of 26.44 mg/kg PC (PC-HD), NR + PC-LD, and NR + PC-HF. The rats were given daily corticosterone injections (40 mg/kg) to induce stress conditions, or NR and PC were orally administered for 21 days. NR and PC supplementation, particularly NR plus PC, increased the serum antioxidant enzyme activities, hepatic nicotinamide adenine (NAD+) content, and telomere length (p < 0.001 for all) compared to the CS group. The levels of serum malondialdehyde (MDA), liver interleukin-6 (IL-6), tumor necrosis factor α (TNF-α), IL-1β, and IL-8 were reduced under the CS condition (p < 0.001). In addition, CS decreased the levels of hepatic telomere-related proteins and sirtuins (SIRT1 and 3), whereas administration of NR and PC or their combination to CS-exposed rats increased the levels of telomere-related proteins (e.g., POT1b, TRF1 and TRF2), SIRT3 and NAMPT (p < 0.05). In conclusion, NR and PC, especially their combination, can alleviate metabolic abnormalities by enhancing hepatic cytokines, SIRT3, NAMPT, and NAD+ levels in CS-exposed rats. More research is needed to further elucidate the potential health effects of the combination of NR and PC in humans.
Cross-View Outdoor Localization in Augmented Reality by Fusing Map and Satellite Data
Authors: Emmaneel René , Oswald Martin R. , de Haan Sjoerd , Datcu Dragos
Published: October 2023

Visual positioning is the task of finding the location of a given image and is necessary for augmented reality applications. Traditional algorithms solve this problem by matching against premade 3D point clouds or panoramic images. Recently, more attention has been given to models that match the ground-level image with overhead imagery. In this paper, we introduce AlignNet, which builds upon previous work to bridge the gap between ground-level and top-level images. By making multiple key insights, we push the model results to achieve up to 4 times higher recall rates on a visual position dataset. We use a fusion of both satellite and map data from OpenStreetMap for this matching by extending the previously available satellite database with corresponding map data. The model pushes the input images through a two-branch U-Net and is able to make matches using a geometric projection module to map the top-level image to the ground-level domain at a given position. By calculating the difference between the projection and ground-level image in a differentiable fashion, we can use a Levenberg–Marquardt (LM) module to iteratively align the estimated position towards the ground-truth position. This sample-wise optimization strategy allows the model to align the position better than if the model has to obtain the location in a single step. We provide key insights into the model’s behavior, which allows us to increase the model’s ability to obtain competitive results on the KITTI cross-view dataset. We compare our obtained results with the state of the art and obtain new best results on 3 of the 9 categories we look at, which include a 57% likelihood of lateral localization within 1 m in a 40 m × 40 m area and a 93% azimuth localization within 3∘ when using a 20∘ rotation noise prior.
Luminescent Materials: Synthesis, Characterization and Application
Authors: Mesaros Amalia
Published: October 2023

Luminescent materials, or phosphors, are organic, inorganic, or hybrid organic/inorganic systems that convert certain types of energy into electromagnetic radiation over thermal radiation [...]
Identification of Hub Genes in Idiopathic Pulmonary Fibrosis and Their Association with Lung Cancer by Bioinformatics Analysis
Authors: Velázquez-Enríquez Juan Manuel , Reyes-Avendaño Itayetzi , Santos-Álvarez Jovito Cesar , Reyes-Jiménez Edilburga , Vásquez-Garzón Verónica Rocío , Baltiérrez-Hoyos Rafael
Published: October 2023

Background: Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive, and irreversible disease with a high mortality rate worldwide. However, the etiology and pathogenesis of IPF have not yet been fully described. Moreover, lung cancer is a significant complication of IPF and is associated with increased mortality. Nevertheless, identifying common genes involved in developing IPF and its progression to lung cancer remains an unmet need. The present study aimed to identify hub genes related to the development of IPF by meta-analysis. In addition, we analyzed their expression and their relationship with patients’ progression in lung cancer. Method: Microarray datasets GSE24206, GSE21369, GSE110147, GSE72073, and GSE32539 were downloaded from Gene Expression Omnibus (GEO). Next, we conducted a series of bioinformatics analysis to explore possible hub genes in IPF and evaluated the expression of hub genes in lung cancer and their relationship with the progression of different stages of cancer. Results: A total of 1888 differentially expressed genes (DEGs) were identified, including 1105 upregulated and 783 downregulated genes. The 10 hub genes that exhibited a high degree of connectivity from the PPI network were identified. Analysis of the KEGG pathways showed that hub genes correlate with pathways such as the ECM–receptor interaction. Finally, we found that these hub genes are expressed in lung cancer and are associated with the progression of different stages of lung cancer. Conclusions: Based on the integration of GEO microarray datasets, the present study identified DEGs and hub genes that could play an essential role in the pathogenesis of IPF and its association with the development of lung cancer in these patients, which could be considered potential diagnostic biomarkers or therapeutic targets for the disease.
Monitoring of Chemical Changes in Coffee Beans during the Roasting Process Using Different Roasting Technologies with Nuclear Magnetic Resonance Spectroscopy
Authors: Gottstein Vera , Krumbügel Katrin , Kuballa Thomas , Schwarz Steffen , Walch Enrico , Walch Pascal , Lachenmeier Dirk W.
Published: October 2023

The roasting process is an important step in coffee production, leading to important physical and chemical changes that are responsible for the sensory quality of a coffee beverage. Besides the commonly used drum roasters, a newly developed infrared roaster can be used to roast green coffee beans. In this study, 1H nuclear magnetic resonance (NMR) spectroscopy was used to analyze the fat and aqueous extracts of coffee beans roasted to different degrees of roasting using a professional drum roaster, a hot air fluidized bed sample roaster and an infrared roaster. Caffeine-containing and decaffeinated Coffea arabica coffee samples were used to monitor the roasting process in the different roasters. Compared with the drum-roasted coffee sample, the formation and degradation of NMR-detectable components in the coffee sample roasted with the infrared roaster and the hot air roaster were time-dependent. In the decaffeinated coffee sample, compounds such as kahweol, caffeoylquinic acid and trigonelline were found to occur at lower levels. The formation and degradation of the NMR-detectable compounds in the decaffeinated coffee sample also occurred with a time lag or to a lesser extent than in the caffeine-containing coffee sample.
A Systematic Review of Gene Expression Studies in Critically Ill Patients with Sepsis and Community-Acquired Pneumonia
Authors: Viasus Diego , Nonell Lara , Restrepo Carlos , Figueroa Fabian , Donado-Mazarrón Carla , Carratalà Jordi
Published: October 2023

(1) Background: Sepsis is present in nearly 90% of critically ill patients with community-acquired pneumonia (CAP). This systematic review updates the information on studies that have assessed gene expression profiles in critically ill septic patients with CAP. (2) Methods: We searched for studies that satisfied the following criteria: (a) expression profile in critically ill patients with sepsis due to CAP, (b) presence of a control group, and (c) adult patients. Over-representation analysis was performed with clusterProfiler using the Hallmark and Reactome collections. (3) Results: A total of 4312 differentially expressed genes (DEGs) and sRNAs were included in the enrichment analysis. In the Hallmark collection, genes regulated by nuclear factor kappa B in response to tumor necrosis factor, genes upregulated by signal transducer and activator of transcription 5 in response to interleukin 2 stimulation, genes upregulated in response to interferon-gamma, genes defining the inflammatory response, a subgroup of genes regulated by MYC—version 1 (v1), and genes upregulated during transplant rejection were significantly enriched in critically ill septic patients with CAP. Moreover, 88 pathways were identified in the Reactome database. (4) Conclusions: This study summarizes the reported DEGs in critically ill septic patients with CAP and investigates their functional implications. The results highlight the complexity of immune responses during CAP.
Combination of Platelet-Rich Plasma and Hyaluronic Acid vs. Platelet-Rich Plasma Alone for Treatment of Knee Osteoarthritis
Authors: Gupta Ashim , Sharma Surya Prakash , Potty Anish G.
Published: October 2023

Knee osteoarthritis (OA) is the most documented form of OA and is accountable for about 80% of total OA cases worldwide [...]
Multi-Omics Analysis Reveals the Role of Sigma-1 Receptor in a Takotsubo-like Cardiomyopathy Model
Authors: Liu Yi , Chen Qing , Yang Jian-Zheng , Li Xiu-Wen , Chen Li-Jian , Zhang Kai-Kai , Liu Jia-Li , Li Jia-Hao , Hsu Clare , Chen Long , Zeng Jia-Hao , Wang Qi , Zhao Dong , Xu Jing-Tao
Published: October 2023

Takotsubo syndrome (TTS) is a stress-induced cardiomyopathy that presents with sudden onset of chest pain and dyspneic and cardiac dysfunction as a result of extreme physical or emotional stress. The sigma-1 receptor (Sigmar1) is a ligand-dependent molecular chaperone that is postulated to be involved in various processes related to cardiovascular disease. However, the role of Sigmar1 in TTS remains unresolved. In this study, we established a mouse model of TTS using wild-type and Sigmar1 knockout mice to investigate the involvement of Sigmar1 in TTS development. Our results revealed that Sigmar1 knockout exacerbated cardiac dysfunction, with a noticeable decrease in ejection fraction (EF) and fractional shortening (FS) compared to the wild-type model. In terms of the gut microbiome, we observed regulation of Firmicutes and Bacteroidetes ratios; suppression of probiotic Lactobacillus growth; and a rise in pathogenic bacterial species, such as Colidextribacter. Metabolomic and transcriptomic analyses further suggested that Sigmar1 plays a role in regulating tryptophan metabolism and several signaling pathways, including MAPK, HIF-1, calcium signaling, and apoptosis pathways, which may be crucial in TTS pathogenesis. These findings offer valuable insight into the function of Sigmar1 in TTS, and this receptor may represent a promising therapeutic target for TTS.
Implementation of Chaotic Reverse Slime Mould Algorithm Based on the Dandelion Optimizer
Authors: Zhang Yi , Liu Yang , Zhao Yue , Wang Xu
Published: October 2023

This paper presents a hybrid algorithm based on the slime mould algorithm (SMA) and the mixed dandelion optimizer. The hybrid algorithm improves the convergence speed and prevents the algorithm from falling into the local optimal. (1) The Bernoulli chaotic mapping is added in the initialization phase to enrich the population diversity. (2) The Brownian motion and Lévy flight strategy are added to further enhance the global search ability and local exploitation performance of the slime mould. (3) The specular reflection learning is added in the late iteration to improve the population search ability and avoid falling into local optimality. The experimental results show that the convergence speed and precision of the improved algorithm are improved in the standard test functions. At last, this paper optimizes the parameters of the Extreme Learning Machine (ELM) model with the improved method and applies it to the power load forecasting problem. The effectiveness of the improved method in solving practical engineering problems is further verified.
Role of Stearic Acid as the Crystal Habit Modifier in Candelilla Wax-Groundnut Oil Oleogels
Authors: Chaturvedi Diksha , Bharti Deepti , Dhal Somali , Sahu Deblu , Behera Haladhar , Sahoo Minaketan , Kim Doman , Jarzębski Maciej , Anis Arfat , Mohanty Biswaranjan , Sagiri Sai S. , Pal Kunal
Published: October 2023

This study investigated the effects of incorporating stearic acid (SAC) in candelilla wax (CW) and groundnut oil (GO) oleogel with potential health benefits as an alternative to saturated fats in processed foods. Results showed that SAC possesses crystal habit-modifying properties on the oleogels, causing its average crystallite size to increase, as observed through polarized light microscopy and XRD analysis. Additionally, SAC caused an increase in ordering within the crystallite network as a result of the decrease in d-spacing. Interestingly, the firmness of the oleogels remained unaffected, even at a higher fraction of SAC. It is believed to be due to the interference caused by the crystallization of high-melting SAC within the fine crystal network of CW-GO oleogel. However, adding 3 mg of SAC significantly increased the work of the shear of the oleogel (SAC3), which decreased the spreadability. As observed through colorimetric analysis, SAC3 showed a dense and uniform distribution of prominent bright crystals with minimal amorphous regions, leading to a high whiteness index. SAC3 also demonstrated the highest compactness and dislocation density among the oleogels, likely due to the formation of prominent crystals. However, SAC did not affect the overall oleogel crystallization rate. SAC3 had delayed secondary crystallization and thermal equilibrium by having a prolonged crystallization time of CW crystals. In the case of controlled delivery studies, the addition of SAC improved CPCR. On the other hand, CPCR decreased with the increase in SAC amount, where SAC3 showed a moderate curcumin release ability among the oleogels.
Knowledge, Beliefs, and Behaviors of Turkish Parents about Childhood Vaccination
Authors: Emlek Sert Zuhal , Topçu Sevcan , Çelebioğlu Aysun
Published: October 2023

Background and Objectives: Vaccination is critical to the prevention and control of infectious disease outbreaks and is also one of the most important public health successes. When it comes to childhood vaccinations, parents’ consent is very important. For this reason, childhood vaccination rates are directly related to the knowledge, beliefs, and behaviors of the parents. Therefore, this study aimed to evaluate the knowledge, beliefs, and behaviors of parents of children aged 0–5 regarding childhood vaccinations and how these beliefs affect their vaccination behaviors. Material and Methods: This descriptive, cross-sectional study was conducted on 302 parents from February to June 2020. Data were collected using a questionnaire form with 26 questions. Sociodemographic characteristics were reported as frequencies, means, and percentages. Multiple regression analysis was utilized to evaluate vaccination behaviors and affective factors. Results: About 87.1% of the parents know that vaccines protect their children from infectious diseases, and 76.8% know that vaccines can have side effects. Although 97.7% of the parents had their children fully vaccinated according to the Extended Immunization Program, 2.3% did not vaccinate their children. Moreover, 98% of the parents trust the information given by healthcare professionals about vaccination. The parents’ beliefs explain 53% (R2 = 0.53) of the parents’ child vaccination behavior. Conclusion: This study found that although the knowledge level of parents about vaccines is quite good, negative knowledge and beliefs that may affect vaccination also exist. Considered by parents as a reliable source of information, healthcare professionals should impart their knowledge, beliefs, and concerns regarding immunization.
Mobile Vaccination Teams for Improving Vaccination Coverage in the Kyrgyz Republic: Results of a National Health System-Strengthening Project during the First Two Years of the COVID-19 Pandemic
Authors: Monolbaev Kubanychbek , Kosbayeva Alyia , Lazzerini Marzia
Published: October 2023

(1) Background: This implementation study reports on the results of the mobile vaccination teams’ (MVTs) activities during the first two years of the COVID-19 pandemic in Kyrgyzstan, when other vaccination services were disrupted. (2) Methods: Through a national health system-strengthening project under an order of the Ministry of Health, in 2020, the number of MVTs was increased, focusing on internal immigrant settlements around the cities of Bishkek and Osh and geographically remote areas. MVTs provided free vaccination services. (3) Results: MVTs vaccinated a total of 125,289 and 158,047 children in 2020 and 2021, respectively. The higher contribution of MVTs to vaccination coverage was in children under 5 years of age, with the three top vaccines being IPV (8.9%), MMR (7%), and PCV (6.6%). In 2021, 13,000 children who had not received an IPV vaccination and 8692 children who had not received the Pentavalent vaccine (DPT-HBV-Hib) were reached. The number of cases of vaccine-preventable disease reported in official statistics has reduced over time. (4) Conclusions: MVTs increased vaccination coverage in Kyrgyzstan, in particular in remote regions and migrant settlements, where it accounted for a considerable proportion of the vaccinated. This study adds to previous evidence in the literature of the role of MVTs as a strategy to improve immunization in hard-to-reach populations, particularly children.
Slow Rotation of Coaxial Slip Colloidal Spheres about Their Axis
Authors: Tsai Min J. , Keh Huan J.
Published: October 2023

The flow field around a straight chain of multiple slip spherical particles rotating steadily in an incompressible Newtonian fluid about their line of centers is analyzed at low Reynolds numbers. The particles may vary in radius, slip coefficient, and angular velocity, and they are permitted to be unevenly spaced. Through the use of a boundary collocation method, the Stokes equation governing the fluid flow is solved semi-analytically. The interaction effects among the particles are found to be noteworthy under appropriate conditions. For the rotation of two spheres, our collocation results for their hydrodynamic torques are in good agreement with the analytical asymptotic solution in the literature obtained by using a method of twin multipole expansions. For the rotation of three spheres, the particle interaction effect indicates that the existence of the third particle can influence the torques exerted on the other two particles noticeably. The interaction effect is stronger on the smaller or less slippery particles than on the larger or more slippery ones. Torque results for the rotation of chains of many particles visibly show the shielding effect among the particles.
Tracking a Decade of Hydrogeological Emergencies in Italian Municipalities
Authors: Gatto Alessio , Clò Stefano , Martellozzo Federico , Segoni Samuele
Published: October 2023

This dataset collects tabular and geographical information about all hydrogeological disasters (landslides and floods) that occurred in Italy from 2013 to 2022 that caused such severe impacts as to require the declaration of national-level emergencies. The severity and spatiotemporal extension of each emergency are characterized in terms of duration and timing, funds requested by local administrations, funds approved by the national government, and municipalities and provinces hit by the event (further subdivided between those included in the emergency and those not, depending on whether relevant impacts were ascertained). Italian exposure to hydrogeological risk is portrayed strikingly: in the covered period, 123 emergencies affected Italy, all regions were struck at least once, and some provinces were struck more than 10 times. Damage declared by local institutions adds up to EUR 11,000,000,000, while national recovery funds add up to EUR 1,000,000,000. The dataset may foster further research on risk assessment, econometric analysis, public policy support, and decision-making implementation. Moreover, it provides systematic evidence helpful in raising awareness about hydrogeological risks affecting Italy.
USC-DCT: A Collection of Diverse Classification Tasks
Authors: Jones Adam M. , Sahin Gozde , Murdock Zachary W. , Ge Yunhao , Xu Ao , Li Yuecheng , Wu Di , Ni Shuo , Huang Po-Hsuan , Lekkala Kiran , Itti Laurent
Published: October 2023

Machine learning is a crucial tool for both academic and real-world applications. Classification problems are often used as the preferred showcase in this space, which has led to a wide variety of datasets being collected and utilized for a myriad of applications. Unfortunately, there is very little standardization in how these datasets are collected, processed, and disseminated. As new learning paradigms like lifelong or meta-learning become more popular, the demand for merging tasks for at-scale evaluation of algorithms has also increased. This paper provides a methodology for processing and cleaning datasets that can be applied to existing or new classification tasks as well as implements these practices in a collection of diverse classification tasks called USC-DCT. Constructed using 107 classification tasks collected from the internet, this collection provides a transparent and standardized pipeline that can be useful for many different applications and frameworks. While there are currently 107 tasks, USC-DCT is designed to enable future growth. Additional discussion provides explanations of applications in machine learning paradigms such as transfer, lifelong, or meta-learning, how revisions to the collection will be handled, and further tips for curating and using classification tasks at this scale.
Descriptive Study of Oral Health in an Indigenous Child Population of Baka Pygmies in Cameroon
Authors: Poni Nicias Afoumpam , Ribas-Pérez David , Flores-Fraile Javier , Hernández-Franch Paloma Villalva , Rodríguez-Menacho Diego , Castaño-Séiquer Antonio
Published: October 2023

Indigenous populations around the world experience a disproportionate burden of oral diseases and health conditions. These inequalities are likely due to a complex web of socioeconomic, cultural, and health determinants. The Baka pygmies of southern Cameroon find themselves in this context of an indigenous population with health inequities. The purpose of this study was to describe the oral health status, diet, hygiene habits, and access to health services of the Baka pygmy children, from which different care needs will emerge in order to develop health strategies. A descriptive cross-sectional study was conducted in 22 Baka pygmy camps randomly selected. The study population consisted of children aged 5–6 years and 11–12 years chosen by a consecutive sampling technique. The examination was performed using a data sheet based on World Health Organization (WHO) criteria and recommendations which consisted of an oral health questionnaire for children and an oral health assessment form for children. A total of 120 children participated in the study. Extraoral examination of the study population revealed the presence of noma (1%) in the age range of 5–6 years. A total of 2713 teeth were examined, and the DMFT/dft index of the sample was 0.71 with a predominant caries component. The periodontal status showed 87% bleeding on probing. Seven percent of the sample presented a need for immediate urgent treatment due to pain and/or infection. Eighty-seven percent of the sample reported never having been examined by a dentist. The examination and oral care they received was only from nongovernmental organizations (NGOs). The conclusion of this descriptive study is that the precarious oral health situation of pygmy children combined with the absence of care services in general for the Baka pygmies generate a situation of great vulnerability.
Sustainable Energy Development: History and Recent Advances
Authors: Akpan Joseph , Olanrewaju Oludolapo
Published: October 2023

Sustainable energy development (SED) is a crucial component of the Sustainable Development Goals (SDG), aiming to maintain economic and social progress while protecting the environment and mitigating climate change’s effects. SED serves as a transition paradigm for sustainable development, providing a blueprint for energy peace and prosperity for people and all uses. This article presents the history of SED and then uses a critical discourse approach to summarize existing review studies in SED. Ten interlinked themes of SED are identified, with two of them considered to be among the least studied in existing SED reviews and in the current global discussion around climate change. This study explores these two themes, which include energy financing and the need for 100% renewable energy (RE), a sub-theme of decarbonization strategy working towards the 1.5–2.0 °C scenario. The study suggests that the current G20 countries’ contributions, if maintained continuously per annum, in addition to 80% more funding from private investment compared to the amount in the 1.5 °C scenario financial requirements for clean energy, are sufficient to limit global warming. In addition to the present drive for 100% RE, the article also discusses emerging issues, such as energy storage options with an indication of hydrogen as the most promising, other energy-related development agendas, and the need for regional security stability to prevent energy wars. Selected SED decarbonization strategies are presented across the power, transport, building, and industrial sectors. The study concludes with progress and directions for future research, mainly the need for re-defining nationally determined contribution (NDC) through an emissions budgeting and centralized global or regional emissions stock-taking strategy working towards the 1.5 °C scenario.