bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimization of Enzymatic Hydrolysis and Fermentation Processing for Set-Type Oat Yogurt with Favorable Acidity and Coagulated Texture
Authors: Xu Wenjie , Wu Xinzhu , Xia Chen , Guo Zicong , Zhai Zhengyuan , Cheng Yongqiang , Qiu Ju
Published: December 2024

The key role of enzymatic hydrolysis and fermentation in the sensory quality of set yogurt made from whole oats was demonstrated. The optimal process was established by the orthogonal and response surface methodology based on the acidity, textural, and rheological properties. The results indicated that the enzymatic hydrolysis appropriately consisted of liquefaction with 12 U/mL α-amylase at 70 °C and pH 6.5 for 60 min, followed by saccharification with 400 U/mL α-1,4-glucan glucohydrolase at 60 °C and pH 4.5 for 60 min. The Streptococcus thermophilus ST15 and Lactobacillus bulgaricus 20249 strains were the most efficacious strains, with a 0.1% inoculation for the fermentation at 42 °C for 16 h. So, a soft semisolid oat yogurt formed with an 8% solid–liquid ratio, which exhibited an acidity of 73.17 °T, a cohesiveness ratio of 0.51, and a maximum apparent viscosity of 1902.67 Pa·s. The coagulated texture of the oat yogurt was closely associated with the exopolysaccharide (EPS) yield up to 304.99 mg/L. These findings supported the optimal processing of oat yogurt, especially its correlation with the high capacity of EPS production by strains. It is an innovative and feasible way to improve the properties of set-type oat yogurt, especially the utilization of the whole oat.
Quantitatively Detecting Camellia Oil Products Adulterated by Rice Bran Oil and Corn Oil Using Raman Spectroscopy: A Comparative Study Between Models Utilizing Machine Learning Algorithms and Chemometric Algorithms
Authors: Liu Henan , Ma Sijia , Liang Ni , Wang Xin
Published: December 2024

The fast and accurate quantitative detection of camellia oil products is significant for multiple reasons. In this study, rice bran oil and corn oil, whose Raman spectra both hold great similarities with camellia oil, are blended with camellia oil, and the concentration of each composition is predicted by models with varying feature extraction methods and regression algorithms. Back propagation neural network (BPNN), which has been rarely investigated in previous work, is used to construct regression models, the performances of which are compared with models using random forest (RF) and partial least squares regression (PLSR). Independent component analysis (ICA), competitive adaptive reweighing sampling (CARS), and their dual combinations served to extract spectral features. In camellia oil adulteration with rice bran oil, both the ICA-BPNN and ICA-PLSR models are found to achieve satisfactory performances. For camellia oil adulteration with rice bran oil and corn oil, on the other hand, the performances of BPNN-based models are substantially deteriorated, and the best prediction accuracy is achieved by a PLSR model coupled with CARS-ICA. In addition to performance fluctuations with varying regression algorithms, the output for feature extraction method also played a vital role in ultimate prediction performance.
Inhibitory Effect and Mechanism of Dancong Tea from Different Harvesting Season on the α-Glucosidase Inhibition In Vivo and In Vitro
Authors: Wen Rourou , Chai Xianghua , Wang Pingping , Wu Kegang , Duan Xuejuan , Chen Jiasi , Zhang Tong , Zeng Liya
Published: December 2024

Tea polyphenols have been reported to decrease the rate of starch hydrolysis by inhibiting α-glucosidase. However, the effect of the tea harvesting season and the structure of catechin monomers on the inhibitory activity of α-glucosidase is not understood. In this study, the inhibitory effect and underlying mechanism of four seasons of Dancong tea against α-glucosidase were investigated by in vivo and in vitro experiments, multi-spectroscope and molecular dynamic. The Dancong tea harvested in spring and winter showed a stronger inhibitory effect on α-glucosidase due to a higher content of catechin, especially EGCG ((-)-epigallocatechin-3-gallate). The results of in vivo and in vitro experiments showed that EGCG and ECG ((-)-epicatechin-3-gallate) with a higher content of gallate and hydroxyl groups exhibited a stronger inhibitory effect on starch hydrolysis, rise of postprandial blood glucose and activities of α-glucosidase compared to EGC ((-)-epigallocatechin) and EC ((-)-epicatechin). These gallate and hydroxy groups were more effective in interacting with the amino acid residues in the active site of α-glucosidase, leading to structural changes in the enzyme. Certainly, the inhibitory effect of Dancong tea on α-glucosidase explains one of the mechanisms by which it helps alleviate diabetes; the other hypoglycaemic mechanisms of Dancong tea will be further explored.
Genome-Wide Association Analysis of Growth Traits in Hu Sheep
Authors: Li Tingting , Xing Feng , Zhang Na , Chen Jieran , Zhang Yuting , Yang Hengqian , Peng Shiyu , Ma Runlin , Liu Qiuyue , Gan Shangquan , Wang Haitao
Published: December 2024

(1) Background: The Hu sheep is a renowned breed characterized by high reproduction, year-round estrus, and resistance to high humidity and temperature conditions. However, the breed exhibits lower growth rates and meat yields, which necessitate improvements through selective breeding. The integration of molecular markers in sheep breeding programs has the potential to enhance growth performance, reduce breeding cycles, and increase meat production. Currently, the applications of SNP chips for genotyping in conjunction with genome-wide association studies (GWAS) have become a prevalent approach for identifying candidate genes associated with economically significant traits in livestock. (2) Methods: To pinpoint candidate genes influencing growth traits in Hu sheep, we recorded the birth weight, weaning weight, and weights at 3, 4, 5, 6, and 7 months for a total of 567 Hu sheep, and genotyping was performed using the Ovine 40K SNP chip. (3) Results: Through GWAS analysis and KEGG pathway enrichment, we identified three candidate genes associated with birth weight (CAMK2B, CACNA2D1, and CACNA1C). Additionally, we found two candidate genes linked to weaning weight (FGF9 and BMPR1B), with CACNA2D1 also serving as a shared gene between birth weight and weaning weight traits. Furthermore, we identified eight candidate genes related to monthly weight (FIGF, WT1, KCNIP4, JAK2, WWP1, PLCL1, GPRIN3, and CCSER1). (4) Conclusion: Our findings revealed a total of 13 candidate genetic markers that can be utilized for molecular marker-assisted selection, aiming to improve meat production in sheep breeding programs.
Impact of Long-Term Cannabidiol (CBD) Treatment on Mouse Kidney Transcriptome
Authors: Rokicki Mikołaj , Żurowski Jakub , Sawicki Sebastian , Ocłoń Ewa , Szmatoła Tomasz , Jasielczuk Igor , Mizera-Szpilka Karolina , Semik-Gurgul Ewelina , Gurgul Artur
Published: December 2024

Background: Cannabidiol, which is one of the main cannabinoids present in Cannabis sativa plants, has been shown to have therapeutic properties, including anti-inflammatory and antioxidant effects that may be useful for treatment of various kidney conditions. Objectives: This article investigates the effect of long-term cannabidiol (CBD) treatment on changes in the renal transcriptome in a mouse model. The main hypothesis was that systematic CBD treatment would affect gene expression associated with those processes in the kidney. Methods: The study was conducted on male C57BL/6J mice. Mice in the experimental groups received daily intraperitoneal injections of CBD at doses of 10 mg/kg or 20 mg/kg body weight (b.w.) for 28 days. After the experiment, kidney tissues were collected, RNA was isolated, and RNA-Seq sequencing was performed. Results: The results show CBD’s effects on changes in gene expression, including the regulation of genes related to circadian rhythm (e.g., Ciart, Nr1d1, Nr1d2, Per2, and Per3), glucocorticoid receptor function (e.g., Cyp1b1, Ddit4, Foxo3, Gjb2, and Pck1), lipid metabolism (e.g., Cyp2d22, Cyp2d9, Decr2 Hacl1, and Sphk1), and inflammatory response (e.g., Cxcr4 and Ccl28). Conclusions: The obtained results suggest that CBD may be beneficial for therapeutic purposes in treating kidney disease, and its effects should be further analyzed in clinical trials.
Complete Mitochondrial Genomes of Pluvialis fulva and Charadrius dubius with Phylogenetic Analysis of Charadriiformes
Authors: Sun Kuo , Wang Qingxiong , Bian Kun , Li Feiran , Tang Jie , Suo Lijuan , Hou Xiang , Yang Chao
Published: December 2024

Background: Plovers (Charadriidae), within the order of Charadriiformes, a group of modern birds distributed worldwide, are a frequent subject of molecular phylogenetic studies. While research on mitochondrial genome (mitogenome) variation within the family Charadriidae, especially intraspecific variation, is limited. Additionally, the monophyly of Charadrius and the phylogenetic placement of Pluvialis remain contentious. Nevertheless, recent studies utilizing complete mitogenomes from available databases to construct phylogenetic trees for Charadriidae and Charadriiformes remain scarce. Methods: This study aims to explore mitogenome variation within Charadrius dubius and clarify the phylogenetic placement of Pluvialis fulva. We sequenced the complete mitogenome of six C. dubius and one P. fulva, and all additional available mitogenomes were integrated within Charadriiformes. The average complete mitogenome length of C. dubius is 16,889 bp, and P. fulva is 16,859 bp. Results: Our results support the suggestion that the monophyly of Charadrius and P. fulva is nested within Charadriidae. The phylogenetic analysis of Charadriiformes based on mitogenomes strongly supports the recognition of three major shorebird clades: Charadrii, Lari and Scolopaci, with Lari and Scolopaci identified as sister clades. Conclusions: Our study reinforces the credibility of the inferred evolutionary relationships within Charadriidae and Charadriiformes.
Non-Invasive miRNA Profiling for Differential Diagnosis and Prognostic Stratification of Testicular Germ Cell Tumors
Authors: Vlachostergios Panagiotis J. , Evmorfopoulos Konstantinos , Zachos Ioannis , Dimitropoulos Konstantinos , Thodou Eleni , Samara Maria , Tzortzis Vassilios , Giakountis Antonis
Published: December 2024

Background/Objectives: Testicular germ cell tumors (TGCT) are common in young adult men and have high cure rates. Conventional serum tumor markers and imaging are not able to differentiate between histologic subtypes of the disease, which portend different prognoses and require distinct therapeutic strategies. Micro-RNAs (miRNAs) are small non-coding transcripts involved in the post-transcriptional regulation of gene expression, which have emerged as promising biomarkers in a variety of tumors. This study aimed to assess the potential of differentially expressed miRNAs in differential diagnosis and prognostication among TGCT patients with various histologic subtypes. Methods: Transcriptomic analysis of 134 patients from The Cancer Genome Atlas (TCGA)-TGCT database was conducted. miRNA differential expression analysis among seminomatous, embryonal carcinoma, mixed GCT, and teratoma was performed, followed by ROC curve analysis of the most significantly up- and downregulated miRNAs, respectively. Statistical associations of miRNA expression with AJCC stage were also investigated along with miRNA target network analysis and evaluation of miRNA detection in patients’ fluids. Results: Upregulation of seven miRNAs (hsa-mir-135a-1, hsa-mir-135a-2, hsa-mir-200a, hsa-mir-200b, hsa-mir-203b, hsa-mir-375, hsa-mir-582) and downregulation of seven additional miRNAs (hsa-mir-105-1, hsa-mir-105-2, hsa-mir-4433a, hsa-mir-548x, hsa-mir-5708, hsa-mir-6715a, hsa-mir-767) were identified. miRNAs displayed a high sensitivity/specificity of 0.94/1.0 (AUC = 0.98) for the upregulated and 0.97/0.94 (AUC = 0.96) for the downregulated signature. Deregulated expression of these miRNAs was significantly associated with AJCC stage and distant organ metastasis (p < 0.001), overall supporting their prognostic strength. Both signatures were detectable in body fluids, particularly urine. miRNA target network analysis supported the functional role of these miRNAs in the regulation of cancer-related processes such as cell proliferation via deregulation of pivotal oncogenes. Conclusions: These findings support the clinical value of two novel miRNA signatures in differential diagnosis and prognostic stratification of various histologic subtypes of TGCT, with potential treatment implications.
Overview of Geosciences Applied to Forensic Taphonomy: The Interdisciplinary Approach of the Italian Non-Human Research Facility (Ticino-LEAFs)
Authors: Tagliabue Giulia , Masseroli Anna , Caccia Giulia , Poppa Pasquale , Cattaneo Cristina , Trombino Luca
Published: December 2024

The recent surge in the application of geosciences in forensics has yielded significant insights into taphonomy and decomposition processes, particularly with regard to the identification and interpretation of evidence pertaining to the interaction between the cadaver and the outdoor post-depositional environment. Given that a substantial proportion of current knowledge about decomposition dynamics can be attributed to forensic taphonomy experiments utilizing pigs as human models, a literature review was conducted, focusing on experiments incorporating geosciences into their investigative techniques. The results demonstrated the crucial role of this approach in ensuring accurate interpretation of data, both in the context of forensic cases and in experimental research. Furthermore, this manuscript presents the opening of the first Italian non-human forensic taphonomy facility, which was inaugurated by the LABANOF of the University of Milan in 2009 at the Lombardy Park of the Ticino (PV). The facility strives to integrate the use of non-human animals as human models while upholding a high ethical standard and minimizing the construction of artifacts, thereby striving for forensic realism. Furthermore, the most recent project conducted at the Italian FTF establishes a connection between the outcomes of preceding projects and underscores the significance of a pragmatic and intellectual disposition that embraces interdisciplinary collaboration.
Advancing District Nursing Care Through a Learning Healthcare System: A Viewpoint on Key Requirements
Authors: Veldhuizen Jessica , Schuurmans Marieke , Mikkers Misja , Bleijenberg Nienke
Published: December 2024

The increasing complexity of healthcare needs driven by an ageing population places pressure on district nursing care. Many vulnerable older adults prefer to remain at home, requiring care coordinated with general practitioners and other professionals. This demand for integrated care is further challenged by a shortage of nursing professionals and the lack of standardised approaches to measure care quality. This article identifies the key requirements for implementing a learning healthcare system in district nursing care, using patient outcome data to foster continuous improvement and create a more adaptive, evidence-based, and patient-centred approach. This paper synthesises findings from multiple studies conducted as part of a PhD thesis, utilising a multi-method approach. These methods include examining patient outcomes in district nursing care and evaluating necessary cultural, organisational, and financial changes. Four key requirements were identified: (1) standardising patient outcome measures; (2) fostering a data-driven culture and strengthening professional autonomy; (3) enhancing organisational support and integrated care; and (4) adopting financing models that incentivise continuous learning and quality improvement. Implementing a learning healthcare system with patient outcome data in district nursing care requires a transformative shift. Standardising outcome measures, investing in information systems, and promoting continuous learning are crucial. Aligning financial incentives with patient outcomes, strengthening professional autonomy, and enhancing organisational support can make district nursing more responsive and capable of meeting complex needs. The described requirements are essential for advancing district nursing care through a more adaptive, evidence-based, and patient-centred approach.
Tackling Cardiovascular Care Deserts in Romania: Expanding Population Access in Underserved Areas
Authors: Cioclu Alexandra , Dumitrache Liliana , Mareci Alina , Nae Mariana
Published: December 2024

Background: Cardiovascular deserts are areas that lack medical facilities, specialists and equipment to effectively diagnose, treat and manage cardiovascular diseases (CVDs). Romania registers the highest incidence and the highest mortality due to CVDs in Europe. Population ageing is a significant concern, as it increases the risk of CVDs and the demand for specialised care. Although almost 50% of Romanians still live in rural areas, most medical resources are concentrated in a few large cities, leaving large parts of the country underserved. Methods: This study used the Application Programming Interface (API) Matrix service from Google Maps and open data sources to identify cardiovascular (CV) deserts. Results: This research indicates that over 64% of the Romanian population resides in areas lacking CV care, having to travel more than 60 km and over 30 min to reach the nearest facility that offers specialised treatment. Moreover, 14% live in areas affected by a high degree of cardiovascular desertification. These areas are primarily located in northeastern, southern and western Romania. They experience higher mortality rates from CVDs and an ageing population, along with a shortage of general physicians and a scarcity of cardiologists. Conclusions: The identified cardiovascular deserts in this study overlap mountainous regions, the Danube Delta and remote rural areas with poor transportation infrastructure. Implementing telemedicine or mobile healthcare services, involving community healthcare workers and policy support could be solutions to expand access to specialised care in cardiovascular deserts.
Caregiver-Reported Economic Impacts of Pediatric Rare Diseases—A Scoping Review
Authors: Buckle Niamh , Doyle Orla , Kodate Naonori , Kinch Melissa , Somanadhan Suja
Published: December 2024

Background/Objectives: Rare diseases are conditions that are individually rare but collectively common. These diseases can incur significant direct and indirect costs with a combination of high medical expenses, loss of income, and additional non-medical costs. Despite this, research into the economic cost for families of children with a rare disease is lacking. This scoping review aimed to document the evidence on the economic impacts of living with a rare disease for children and their families. Methods: Six electronic databases were searched to identify relevant peer-reviewed literature that discussed the family costs (direct medical, direct non-medical, and indirect) of having a child with a rare disease, published between January 1983 and April 2023. The geographical location, type of rare disease, and language were not limited. Data were extracted from the included studies following the screening process and are reported following the PAGER framework for reporting scoping review results. Results: The final analysis included 28 studies. The studies highlighted areas of high costs, including visits to healthcare professionals (n = 36), medication costs (n = 11), presenteeism (n = 17), and informal care (n = 11). However, gaps in the existing research, such as the focus on metabolic or musculoskeletal rare diseases and the lack of a distinction between rare and ultra-rare diseases, were apparent. Conclusions: Having a child with a rare disease can significantly impact a family’s financial health, and these costs extend beyond healthcare costs. Understanding the costs experienced by the rare disease population is important to better define and comprehend the economic impact of rare diseases.
Evaluation of Dynamic Respiratory Muscle Strength, Physical Fitness, and Physical Activity in Children with Asthma and Healthy Peers
Authors: Onal Seyma Nur , Aliyeva Gulnar , Calik Kutukcu Ebru , Vardar Yagli Naciye , Sekerel Bulent Enis , Soyer Ozge Uysal , Sahiner Umit Murat
Published: December 2024

Background: Systemic inflammation, attacks, deterioration of thoracic region mechanics, medications used, and decreased physical activity level (PAL) and fitness negatively may affect respiratory muscle strength. The primary aim of this study was to evaluate dynamic inspiratory muscle strength (S-index), PAL, and physical fitness in children with asthma compared to healthy peers. The secondary aim of this study was to investigate the relationships between S-index and peak inspiratory flow (PIF) values and functional parameters in childhood asthma. Methods: This cross-sectional prospective study consisted of participants of 6–11 years of age, specifically, 20 children with asthma and 20 healthy peers. The device (POWERbreathe K5) evaluated PIF and S-index variables. PAL was determined with the Physical Activity Questionnaire-Child (PAQ-C) and fitness was evaluated with the FITNESSGRAM test battery. Results: The PIF Average (Avg): 1.8 ± 0.6, Best: 2.6 ± 0.6 (asthmatic children) vs. Avg: 2.4 ± 0.7, Best: 3.1 ± 0.9 (healthy children); p = 0.017, p = 0.027, respectively) and S-index (Avg: 34.1 ± 10.3, Best: 45.6 ± 9.9 (asthmatic children) vs. Avg: 43.2 ± 12.1, Best: 56.6 ± 14.7 (healthy children); p = 0.015, p = 0.008 respectively) values of children with asthma were significantly lower compared to healthy peers. The PAL and physical fitness of asthmatic and healthy peers were similar (p > 0.05). There were significant relationships between S-indexavg and S-indexbest with the PAQ-C score (r = 0.498, p < 0.025 r = 0.547, p < 0.013, respectively) and PIFavg and PIFbest with the PAQ-C score (r = 0.490, p < 0.028 r = 0.602, p < 0.005) in children with asthma. Conclusions: Dynamic respiratory muscle strength is negatively affected in children with asthma whereas their physical activity and fitness levels are comparable to their peers. However, it was found that children with a higher S-index and PIF rate had higher PALs. These findings suggest that pulmonary rehabilitation interventions to improve respiratory muscle function should be considered an important strategy to maintain and increase physical activity levels in children with asthma.
Characterization of the Complete Chloroplast Genomes and Phylogenetic Analysis of Sapotaceae
Authors: He Wenyan , Liu Yumei , Gao Rui , Song Zhiyu , Zhu Wentao , Chen Jinliao , Liang Cuiyi , Wu Shasha , Zhai Junwen
Published: December 2024

The Sapotaceae family comprises 65–70 genera and over 1250 species, holding significant ecological and economic value. Although previous studies have made some progress in the phylogenetic relationships and classification of Sapotaceae, many issues remain unresolved and require further in-depth research. In this study, we sequenced and assembled the complete chloroplast genomes of 21 plants from 11 genera of Sapotaceae, conducted a comparative genomic analysis, and performed a phylogenetic analysis by incorporating 16 previously published chloroplast genomes of Sapotaceae. The results showed that the chloroplast genome sizes in 21 plants of Sapotaceae range between 157,920 bp and 160,130 bp, exhibiting the typical quadripartite structure. Each genome contains 84–85 protein-coding genes, 37 tRNA genes, and 8 rRNA genes, while the ndhF gene is absent in Pouteria campechiana and Pouteria sapota. The relative synonymous codon usage (RSCU) analysis showed that isoleucine (Ile) is the most commonly used, while the codon for methionine (Met) is the least utilized. Additionally, five highly variable regions (petA-psbJ, psbI-trnS-GGA, rpl2_2-psbA, rps19-rpl2_2, and ycf4-cemA) and two coding sequences, ycf1 and matK, were identified as candidate molecular markers for species differentiation and a phylogenetic analysis within the Sapotaceae family. Phylogenetic trees were reconstructed using complete chloroplast genome sequences and analyzed using ML and BI methods, which revealed that the Sapotaceae family is divided into three distinct clades, each receiving strong statistical support (BS = 100, PP = 1). The intergeneric analysis revealed that Madhuca and Palaquium are sister groups (BS = 91, PP = 1), as are Gambeya and Chrysophyllum (BS = 91, PP = 1). Pouteria and Chrysophyllum are among the larger groups in the Sapotaceae family but the traditional classification boundaries of these genera are unstable and unfeasible, as the current genus boundaries fail to support their natural evolutionary relationships. In the phylogenetic tree, Eberhardtia aurata is placed on a separate branch. The morphological classification system shows that E. aurata has rust-colored pubescence on its branches, abaxial leaf surfaces, petioles, and other areas, which clearly distinguishes it from other genera. This study provides valuable insights into advancing phylogenetic research, population genetics, molecular breeding, and conservation strategies by comparing chloroplast genome structures and characteristics and constructing phylogenetic trees.
An Attempt to Reduce Nitrogen Fertilization Levels and Their Impact on the Growth and Productivity of Garlic (Allium sativum L.) Under Different Planting Dates
Authors: Taha Noura Mohamed , Bukhari Najat Abdulwahab , Hatamleh Ashraf Atef , Górnik Krzysztof , Sabah Saleh Shehab , Hashem Fadl Abdelhamid , El-Gabry Yasser Abd-Elgawwad , Shahin Mostafa Gamal Eldin , Lamlom Sobhi Faid , Ahmed Yosri Nasr , Abou-Hadid Ayman Farid , Abd-Elrahman Shaimaa Hassan
Published: December 2024

Applying nitrogen fertilizers in agriculture can cause uncontrolled gas emissions, such as N2O and CO2, leading to global warming and serious climate changes. In this study, we evaluated the greenhouse gas emissions (GHGs) that are concomitant with applying different rates of N fertilization, i.e., 50, 75, 100, and 125% of the recommended dose (727 kg N ha−1) for two cultivars (Balady and Sids-40) of Allium sativum L. grown under three planting dates (15 September, 1 October, and 15 October). For this purpose, two field experiments were carried out during the two growing seasons of 2020/2021 and 2021/2022. Treatments were arranged in a split–split plot design with three replicates: planting dates were set up in the main plots, nitrogen levels were conducted in the submain plots, and garlic varieties were in the sub-subplots. The obtained results can be summarized as follows: Planting on 15 September significantly increased vegetative growth parameters (i.e., plant height, leaves area, number of leaves plant−1, and leaves dry weight) and total bulb yield, in both seasons. The application of the highest rate of N (125%) gave significantly higher records for vegetative growth parameters, while the 75% nitrogen treatment appeared to give the highest total bulb yield in both seasons. The means of plant growth characteristics and total bulb yield were significantly increased by the cultivation of the Balady cultivar. In addition, the results show that GHGs were positively correlated with increasing the rate of N fertilization. It could be recommended that planting on 15 September and fertilizing with 75% N fertilizer from the recommended dose for Balady cultivar achieve maximum yield and its components.
Backwater Level Computations Due to Bridge Constrictions: An Assessment of Methods
Authors: Haji Amou Assar Kimia , Atabay Serter , Yilmaz Abdullah Gokhan , Sharifi Soroosh
Published: December 2024

This paper explores different methods of computing backwater depth for open-channel flow, such as one- to multi-dimensional models, finite difference approaches, and artificial intelligence methods. This paper primarily focuses on one-dimensional methods and states the implication, advantages, and disadvantages, verification process, and performance of each method. This paper discusses different parameters that influence backwater and their impact. Additionally, this paper compares the discussed one-dimensional methods with each other due to their common usage of experimental and field datasets as well as their popularity in implementation. It was concluded that while the WSPRO method significantly overestimated and the Yarnell’s method underestimated the afflux value, the measured afflux values are closest to the values computed by the energy and momentum methods.
The Impact of COVID-19 on People with a Visual Impairment in Northern Ireland: A Sensory Support View
Authors: Cushley Laura N. , Mo Matthew , Peto Tunde , Jackson A. Jonathan
Published: December 2024

Background: The COVID-19 pandemic brought many challenges for all and especially for people with a visual impairment. As a result, many healthcare services had to close or be reduced, and new rules and regulations were implemented. These rules, regulations and testing procedures were challenging for many people with a visual impairment. Methods: Focus groups were conducted with sensory support workers at a regional sensory meeting in Northern Ireland. A set of semi-structured questions were asked about how services were conducted, the challenges faced by people with a visual impairment and any specific cases which showed its impact. Two researchers transcribed and analysed the focus group data. Results: The analysis resulted in four themes, namely “as a result”; healthcare; rules, regulation and testing; and mental and physical health. Some of the biggest issues mentioned were access to healthcare, COVID testing, online working, online schools, one-way systems, social distancing and the impact on mental and physical health. Conclusions: As expected, COVID-19 impacted people with a visual impairment. This study shows some of the barriers faced by people with a visual impairment, especially with regards to the rules and regulations. People with a visual impairment also found it difficult to access the necessary healthcare and support, or they were too fearful to seek it out. This paper provides an insight into the barriers faced by people with a visual impairment and how we may support them in the future.
Alignment of Air Pollution Exposure Inequality Metrics with Environmental Justice and Equity Goals in the United States
Authors: Chambliss Sarah , La Frinere-Sandoval Natasha Quynh Nhu Bui , Zigler Corwin , Mueller Elizabeth J. , Peng Roger D. , Hall Emily M. , Matsui Elizabeth C. , Cubbin Catherine
Published: December 2024

A growing literature within the field of air pollution exposure assessment addresses the issue of environmental justice. Leveraging the increasing availability of exposure datasets with broad spatial coverage and high spatial resolution, a number of works have assessed inequalities in exposure across racial/ethnic and other socioeconomic groupings. However, environmental justice research presents the additional need to evaluate exposure inequity—inequality that is systematic, unfair, and avoidable—which may be framed in several ways. We discuss these framings and describe inequality and inequity conclusions provided from several contrasting approaches drawn from recent work. We recommend that future work addressing environmental justice interventions include complementary “Exposure-driven” and “Socially weighted” metrics, taking an intersectional view of areas and social groups that are both disproportionately impacted by pollution and are impacted by additional health risks resulting from structural racism and consider implications for environmental justice beyond distributional equity.
GINI’s Odyssey in Greece: Econometric Analysis of Income Inequality, GDP, and Unemployment Through Economic Phases (Pre-Crisis, Crisis, Memoranda, and Post-Memoranda)
Authors: Karountzos Panagiotis , Giannakopoulos Nikolaos T. , Sakas Damianos P. , Efthalitsidou Kyriaki I. , Migkos Stavros P.
Published: December 2024

This study explores the relationship between income inequality, economic growth, and unemployment in Greece from 2003 to 2020, encompassing key economic phases: pre-crisis, crisis, memoranda, and post-memoranda. The aim is to analyze how economic growth (logarithm of GDP-LOGGDP) and unemployment influenced income inequality (GINI coefficient) during periods of economic turmoil and recovery. Using linear regression analysis on 18 years of annual data, this study identifies significant relationships between the variables, with diagnostic tests confirming model robustness. The findings reveal a strong positive and statistically significant relationship between LOGGDP and income inequality, indicating that economic growth, without effective redistributive mechanisms, exacerbated disparities. Unemployment had an even stronger positive effect on inequality, highlighting its role in deepening income disparities, particularly during the crisis years marked by economic contraction and austerity measures. These results underline the critical need for balanced economic policies that promote inclusive growth while addressing structural inequalities and labor market vulnerabilities. This study also employs advanced econometric methods, including Vector Autoregression (VAR), Vector Error Correction Model (VECM), and Granger Causality Test, to analyze the dynamics between GDP (LOGGDP), income inequality (GINI), and unemployment. The Granger Test reveals that unemployment Granger-causes GDP with a two-period lag, highlighting the importance of labor market conditions for economic growth, while no direct causal relationship is found between GDP and inequality. These methods provide deeper insights into the short- and long-term interactions, offering valuable guidance for balanced economic policymaking.
Automatic Road Extraction from Historical Maps Using Transformer-Based SegFormers
Authors: Sertel Elif , Hucko Can Michael , Kabadayı Mustafa Erdem
Published: December 2024

Historical maps are valuable sources of geospatial data for various geography-related applications, providing insightful information about historical land use, transportation infrastructure, and settlements. While transformer-based segmentation methods have been widely applied to image segmentation tasks, they have mostly focused on satellite images. There is a growing need to explore transformer-based approaches for geospatial object extraction from historical maps, given their superior performance over traditional convolutional neural network (CNN)-based architectures. In this research, we aim to automatically extract five different road types from historical maps, using a road dataset digitized from the scanned Deutsche Heereskarte 1:200,000 Türkei (DHK 200 Turkey) maps. We applied the variants of the transformer-based SegFormer model and evaluated the effects of different encoders, batch sizes, loss functions, optimizers, and augmentation techniques on road extraction performance. Our best results, with an intersection over union (IoU) of 0.5411 and an F1 score of 0.7017, were achieved using the SegFormer-B2 model, the Adam optimizer, and the focal loss function. All SegFormer-based experiments outperformed previously reported CNN-based segmentation models on the same dataset. In general, increasing the batch size and using larger SegFormer variants (from B0 to B2) resulted in improved accuracy metrics. Additionally, the choice of augmentation techniques significantly influenced the outcomes. Our results demonstrate that SegFormer models substantially enhance true positive predictions and resulted in higher precision metric values. These findings suggest that the output weights could be directly applied to transfer learning for similar historical maps and the inference of additional DHK maps, while offering a promising architecture for future road extraction studies.
An Analysis of the Spatial Variations in the Relationship Between Built Environment and Severe Crashes
Authors: Alisan Onur , Ozguven Eren Erman
Published: December 2024

Traffic crashes significantly contribute to global fatalities, particularly in urban areas, highlighting the need to evaluate the relationship between urban environments and traffic safety. This study extends former spatial modeling frameworks by drawing paths between global models, including spatial lag (SLM), and spatial error (SEM), and local models, including geographically weighted regression (GWR), multi-scale geographically weighted regression (MGWR), and multi-scale geographically weighted regression with spatially lagged dependent variable (MGWRL). Utilizing the proposed framework, this study analyzes severe traffic crashes in relation to urban built environments using various spatial regression models within Leon County, Florida. According to the results, SLM outperforms OLS, SEM, and GWR models. Local models with lagged dependent variables outperform both the global and generic versions of the local models in all performance measures, whereas MGWR and MGWRL outperform GWR and GWRL. Local models performed better than global models, showing spatial non-stationarity; so, the relationship between the dependent and independent variables varies over space. The better performance of models with lagged dependent variables signifies that the spatial distribution of severe crashes is correlated. Finally, the better performance of multi-scale local models than classical local models indicates varying influences of independent variables with different bandwidths. According to the MGWRL model, census block groups close to the urban area with higher population, higher education level, and lower car ownership rates have lower crash rates. On the contrary, motor vehicle percentage for commuting is found to have a negative association with severe crash rate, which suggests the locality of the mentioned associations.
Immune Cell Distributions in the Blood of Healthy Individuals at High Genetic Risk of Parkinson’s Disease
Authors: Deecke Laura , Goldeck David , Ohlei Olena , Homann Jan , Demuth Ilja , Bertram Lars , Pawelec Graham , Lill Christina M.
Published: December 2024

The immune system likely plays a key role in Parkinson’s disease (PD) pathophysiology. Thus, we investigated whether immune cell compositions are already altered in healthy individuals at high genetic risk for PD. We quantified 92 immune cell subtypes in the blood of 442 individuals using multicolor flow cytometry. Polygenic risk scores (PGS) for PD were calculated based on genome-wide significant SNPs (n = 87) from a large genome-wide association study (n = 1,530,403). Linear regression analyses did not reveal significant associations between PGS and any immune cell subtype (FDR = 0.05). Nominally significant associations were observed for NKG2C+ B cells (p = 0.026) in the overall sample. Older participants at increased genetic PD risk also showed a higher proportion of myeloid dendritic cells (p = 0.019) and CD27+CD4+ memory T cells (p = 0.043). Several immune cells were nominally statistically associated in women only. These findings suggest that major alterations of immune cells only occur later in the progression of PD.
Alkaloids from Waltheria spp. (Malvaceae): Chemosystematic Aspects, Biosynthesis, Total Synthesis, and Biological Activities
Authors: Silva Raquel de M. , Caleffi Guilherme S. , Cotinguiba Fernando
Published: December 2024

Waltheria, a genus within the Malvaceae family, is abundantly distributed in tropical and subtropical areas worldwide. Many species of this genus are widely utilized in various ways, including chewing, in folk medicine, acting as an anti-inflammatory agent, and treating gastrointestinal disorders, rheumatism, and asthma, among other conditions. These applications are largely due to their secondary metabolites, primarily quinolone alkaloids and cyclopeptides. Several biological activities have been reported for Waltheria species, including antifungal, anticancer, trypanocidal, acetylcholinesterase inhibitory, potential anti-HIV, antinociceptive, analgesic, anti-inflammatory, antibacterial, antioxidant, and leishmanicidal activities. This review not only presents information on isolated alkaloids and their biological activities but also delves into biosynthetic, chemosystematic, medicinal chemistry, and total synthesis aspects. Additionally, the manuscript highlights other applications of alkaloids of the genus, such as a study on their herbicidal activity, which shows significant potential for agricultural use.
Hyperthermia Potentiates the Effectiveness of Anticancer Drugs—Cisplatin and Tamoxifen on Ovarian Cancer Cells In Vitro
Authors: Zoń Aleksandra , Bednarek Ilona Anna
Published: December 2024

Ovarian cancer is one of the most prevalent cancers among women. Due to the frequent problems during treatment, such as relapses or the development of resistance to treatment, new methods of treating this disease are being sought. A special attention is directed towards the combination therapies combining several different anticancer agents. The aim of the following study was to examine the effect of combination therapy with mild hyperthermia (temperatures of 39 °C and 40 °C) and anticancer drugs—cisplatin and tamoxifen—on the SKOV-3 ovarian cancer cell line in vitro. Furthermore, the study also assessed the effect of moderate hyperthermia on the anticancer effectiveness of both of these drugs. The cytotoxic effect of the therapy was assessed using MTT assay and fluorescent acridine orange staining. Changes in the expression of genes involved in apoptosis processes were evaluated using RT-qPCR. It has been shown that the use of combination therapy leads to a significant increase in apoptosis processes in SKOV-3 ovarian cancer cells and, consequently, to a decrease in their viability. At the molecular level, mild hyperthermia leads primarily to a decrease in the expression of anti-apoptotic genes, and also, to a small extent, to an increase in the expression of proapoptotic genes. The results also indicate that moderate hyperthermia has a positive effect on the cytotoxic efficacy of both cisplatin and tamoxifen on ovarian cancer cells. This suggests that hyperthermia could be a potential component in combination therapy for ovarian cancer.
Modulation of TNFR 1-Triggered Inflammation and Apoptosis Signals by Jacaranone in Cancer Cells
Authors: Liu Jie , Xu Yang , Xie Guobin , Geng Bingjie , Yang Renjing , Tian Wenjing , Chen Haifeng , Wang Guanghui
Published: December 2024

Jacaranone derived from Senecio scandens, a traditional Chinese medicine used for centuries, has been documented to exhibit anti-inflammatory and antiproliferative properties in various tumor cell lines. However, the mechanism of action and relationship between inflammation and apoptosis induced by jacaranone remain inadequately elucidated. In this study, the targets of jacaranone and cancer were identified from various databases, while potential targets and pathways were predicted through the analysis of the protein–protein interactions (PPI) network and pathway enrichment. Through a comprehensive network pharmacology analysis and corroborating experimental findings, we revealed that jacaranone induces tumor cell death by fine-tuning the tumor necrosis factor receptor 1 (TNFR1) downstream signaling pathway. TNFR1 serves as a key node that assembles into complexes I and II, regulating pathways including the nuclear factor (NF)-κB signaling pathway and the cell apoptosis pathway, which play crucial roles in cellular life activities. Jacaranone successfully guides survival signaling pathways to apoptotic mechanisms by inhibiting the assembly of complex I and promoting the formation of complex II. In particular, the main action mechanism of jacaranone lies in inducing the degradation of the inhibitor of apoptosis protein (cIAP)-2. cIAP-2 serves as an E3 ubiquitin ligase that ubiquitinates receptor-interacting serine/threonine-protein kinase 1 (RIPK1), thereby hindering the formation of complex I and effectively reducing the phosphorylation of Inhibitor of κB kinase (IKK) β. When the deubiquitylation process of RIPK1 is triggered, it may promote the formation of complex II, which ultimately leads to cell apoptosis. This fully demonstrates the key role of jacaranone in regulating TNFR1 complexes, especially through the degradation of cIAP-2. Taken together, jacaranone hinders the assembly of TNFR1 complex I and promotes the formation of complex II to induce apoptosis of cancer cells. Our findings unveil a novel mechanism underlying jacaranone, while also presenting a fresh approach for the development of new pharmaceuticals.
LPS Disrupts Endometrial Receptivity by Inhibiting STAT1 Phosphorylation in Sheep
Authors: Fan Xing , Wei Jinzi , Guo Yu , Ma Juan , Qi Meiyu , Huang He , Zheng Peng , Jiang Wenjie , Yao Yuchang
Published: December 2024

Uterine infections reduce ruminant reproductive efficiency. Reproductive dysfunction caused by infusion of Gram-negative bacteria is characterized by the failure of embryo implantation and reduced conception rates. Lipopolysaccharide (LPS), a major component of the outer membrane of Gram-negative bacteria, is highly abortogenic. In this study, the effects of LPS infusion on the endometrial receptivity of sheep were studied during three critical periods of embryo implantation. The results showed that LPS infusion on d12, d16, and d20 of pregnancy in vivo interfered with the expression of prostaglandins (PGs) and affected the expression of adhesion-related factors (ITGB1/3/5, SPP1), key implantation genes (HOXA10, HOXA11 and LIF), and progestational elongation genes (ISG15, RSAD2 and CXCL10) during embryo implantation. In addition, after LPS infusion on d12, d16, and d20, the phosphorylation level of STAT1 significantly decreased and the protein expression level of IRF9 significantly increased on d12, suggesting that LPS infusion in sheep impairs endometrial receptivity through the JAK2/STAT1 pathway. Sheep endometrial epithelial cells were treated with 17 β-estrogen, progesterone, and/or interferon-tau in vitro to mimic the receptivity of the endometrium during early pregnancy for validation. LPS and the p-STAT1 inhibitor fludarabine were both added to the model, which resulted in reduced p-STAT1 protein expression, significant inhibition of PGE2/PGF2α, and significant suppression of the expression of key embryo implantation genes. Collectively, these results indicate that LPS infusion in sheep on d12, d16, and d20 impairs endometrial receptivity through the JAK2/STAT1 pathway, which is responsible for LPS-associated pregnancy failure.