bluuebunny/crossref_metadata_2025 huggingface dataset:
Factors of Airline Selection and Reflight Intention During the Pandemic/Case of Serbian Airlines Users
Authors: Aleksić Milica , Popov Raljić Jovanka , Gajić Tamara , Blešić Ivana , Dragosavac Miloš , Penić Mirjana , Bugarčić Jovan
Published: July 2022

The global pandemic coronavirus disease 2019 (COVID-19) has caused significant economic changes for all segments of the economy. Travel restrictions have landed several commercial airlines and significantly reduced their revenues. Safety measures are strict and very demanded, especially when it comes to food drinks and beverages served during flights. This article aims to discover the predictors that influenced the intention of the airline’s passengers to travel long-distance flights in unusual conditions of the COVID-19 pandemic and differs from current studies on airline selection and passenger loyalty because it includes changes in the behavior of employees who regularly fly medium- and long-distance flights. Requirements for passenger’s airline selection have been changed, which is why this study aimed to determine which factors influence the selection during reopening after lockdown. Determinants of food quality and safety during flights are a long-term challenge and could affect passengers’ choice of the airline they want to fly. This study was conducted during the reopening period of airlines, during the COVID-19 pandemic, on a sample of 369 Serbian passengers and employees on medium- and long-distance flights, in the period from November 20, 2020 to January 15, 2021. Regression analysis concluded that certain predictors such as food service quality and safety significantly affect the attitude, subjective norms, and perceived behavioral control (PBC) of passengers and trigger the intention that affects behaviors in the choice of the airline during the COVID-19 pandemic, especially when it comes to the flights with medium and long durations. To better interpret the effects, a path analysis was performed in the SPSS Analysis of Moment Structures (AMOS) software, version 26.00 with the aim to examine the importance and significance of causal relationships between groups of variables. The results confirmed the theory of planned behavior; that intentions are a significant mediator between the mentioned independent variables (attitudes about quality and safety of food, drinks and beverages, subjective norms, and perceived behavior control) and passenger behavior when rechoosing the same airline.
The Neural Correlates of the Abnormal Implicit Self-Esteem in Major Depressive Disorder: An Event-Related Potential Study
Authors: Jiang Chen-guang , Lu Heng , Zhang Jia-zhao , Gao Xue-zheng , Wang Jun , Zhou Zhen-he
Published: July 2022

Implicit self-esteem (ISE) has been considered a critical factor in the development and maintenance of major depressive disorder (MDD). Further investigating the event-related potential (ERP) characteristics underlying abnormal ISE in MDD would be helpful for understanding the neural mechanism of MDD. For this purpose, 32 MDD patients and 31 age- and sex-matched healthy controls (HCs) were enrolled in this study. The Rosenberg Self-Esteem Scale (RSES) was used to evaluate explicit self-esteem (ESE), and a self-esteem go/no-go association task (GNAT) was used to assess ISE. Electroencephalograms were synchronously recorded when performing the self-esteem GNAT. Behavioral data and ERP characteristics under different conditions were analyzed and compared within and across groups. The results showed that compared to HCs, MDD patients had significantly lower RSES scores and self-D scores of GNAT, which reflected lower levels of ESE and ISE, respectively. No significant correlation was found between RESE and self-D scores, and only RESE scores were significantly negatively correlated with the Hamilton Depression Rating Scale (HAMD) score. The averaged centroparietal go-P3 amplitude under the self-positive condition was significantly smaller in MDD than in HCs. Moreover, HCs had a significantly larger average centroparietal go-P3 amplitude in self-positive than in self-negative conditions, while this pattern was opposite in the MDD group. The neural activity patterns for other conditions were similar between MDD and HCs. Our results suggested that patients with MDD have a decreased level of both ESE and ISE, and ISE might be more independent of clinical symptoms. Decreased neural processing that implicitly associate self with positive conditions (and relatively increased implicit association between self and negative conditions) might be important neural correlates for abnormal ISE in MDD.
The Chinese Brief Cognitive Test: Normative Data Stratified by Gender, Age and Education
Authors: Ye Shuling , Xie Mengjuan , Yu Xin , Wu Renrong , Liu Dengtang , Hu Shaohua , Xu Yong , Liu Huanzhong , Wang Xijin , Zhu Gang , Wang Huaning , Zou Shaohong , Li Tao , Guo Wanjun , Xu Xiufeng , Cheng Yuqi , Li Yi , Yang Juan , Peng Min , Li Nan , Shi Chuan
Published: July 2022

The aim of this study was to develop a brief version of cognitive assessment test for evaluating the efficacy of treatments targeting cognitive impairments in Chinese schizophrenia patients, to examine its reliability, and establish normative data. Stratified according to age, gender, and educational level, healthy adult subjects were recruited from fifteen institutions in seven administrative regions of China and 723 valid samples were obtained, of which 50 were retested. Generalized Linear Models were conducted to analyze the effects of age, sex, and education. There was no significant difference between genders, while significant effects were demonstrated respectively among age and education on the normative data of C-BCT. The Cronbach α of C-BCT is 0.75, and the test-retest reliability (ICC) ranged from 0.62 to 0.76. Normative data of C-BCT were generated by gender, age and education, and the effects of these demographic factors were analyzed. It revealed good internal consistency and test-retest reliability of C-BCT.
Breast Cancer Detection and Classification Empowered With Transfer Learning
Authors: Arooj Sahar , Atta-ur-Rahman  , Zubair Muhammad , Khan Muhammad Farhan , Alissa Khalid , Khan Muhammad Adnan , Mosavi Amir
Published: July 2022

Cancer is a major public health issue in the modern world. Breast cancer is a type of cancer that starts in the breast and spreads to other parts of the body. One of the most common types of cancer that kill women is breast cancer. When cells become uncontrollably large, cancer develops. There are various types of breast cancer. The proposed model discussed benign and malignant breast cancer. In computer-aided diagnosis systems, the identification and classification of breast cancer using histopathology and ultrasound images are critical steps. Investigators have demonstrated the ability to automate the initial level identification and classification of the tumor throughout the last few decades. Breast cancer can be detected early, allowing patients to obtain proper therapy and thereby increase their chances of survival. Deep learning (DL), machine learning (ML), and transfer learning (TL) techniques are used to solve many medical issues. There are several scientific studies in the previous literature on the categorization and identification of cancer tumors using various types of models but with some limitations. However, research is hampered by the lack of a dataset. The proposed methodology is created to help with the automatic identification and diagnosis of breast cancer. Our main contribution is that the proposed model used the transfer learning technique on three datasets, A, B, C, and A2, A2 is the dataset A with two classes. In this study, ultrasound images and histopathology images are used. The model used in this work is a customized CNN-AlexNet, which was trained according to the requirements of the datasets. This is also one of the contributions of this work. The results have shown that the proposed system empowered with transfer learning achieved the highest accuracy than the existing models on datasets A, B, C, and A2.
Controls on Reactive Oxygen Species Cycles in Yellowstone Hot Springs: Implications for Biosignature Preservation on Mars
Authors: Hinman Nancy W. , Mave Megan A. , Powers Leanne C. , Schmitt-Kopplin Philippe , Cabrol Nathalie A. , Gonsior Michael
Published: July 2022

Early Earth and Mars had analogous environments. While life developed on our planet, the question of whether it did on Mars remains to be answered. Hot spring deposits are compelling targets for exploration because of their high habitability and potential to retain morphological and chemical biosignatures. As a result in this study, we aim to better understand the potential for biosignature preservation in Fe-bearing hydrothermal systems. Understanding oxidation-reduction reactions involving Fe in hot springs is a key step in elucidating the preservation process. Fe reacts readily with reactive oxygen species (ROS), which are produced in hot spring surface waters through photochemical processes. Furthermore, Fe3+ can bind to cell membranes and preserve complex organic molecules (i.e., biomarkers). ROS formation is typically controlled by photoreactions with dissolved organic matter (DOM). However, Fe redox reactions more likely control ROS formation in these Fe-bearing systems. We deconvolved the relationship of ROS with Fe in hot springs and evaluated the role that DOM and dissolved organic sulfur (DOS) may have in ROS production. To better understand these coupled systems, field and laboratory experiments were conducted in hot springs of Yellowstone National Park. In situ H2O2 concentrations observed in these hot springs were comparable to, or higher than, those of other high-temperature systems. Reaction rates determined by measuring concentrations after specified time intervals varied based on water compositions and the presence of particulate or dissolved matter. Fe speciation (photochemical reactivity), concentration, and solubility further determined ROS cycling rates. Specifically, photochemically active Fe enhanced both ROS formation and decay rates depending on incident UV irradiance, and rates increased along with Fe concentration and solubility (i.e., in acidic conditions). Better understanding how ROS and Fe cycle in predominantly abiotic conditions will eventually aid in distinguishing between biosignatures and abiotic substances in the rock record.
Discovering Tolerance—A Computational Approach to Assess Abiotic Stress Tolerance in Tomato Under Greenhouse Conditions
Authors: Biermann Robin Tim , Bach Linh T. , Kläring Hans-Peter , Baldermann Susanne , Börnke Frederik , Schwarz Dietmar
Published: July 2022

Modern plant cultivars often possess superior growth characteristics, but within a limited range of environmental conditions. Due to climate change, crops will be exposed to distressing abiotic conditions more often in the future, out of which heat stress is used as example for this study. To support identification of tolerant germplasm and advance screening techniques by a novel multivariate evaluation method, a diversity panel of 14 tomato genotypes, comprising Mediterranean landraces of Solanum lycopersicum, the cultivar “Moneymaker” and Solanum pennellii LA0716, which served as internal references, was assessed toward their tolerance against long-term heat stress. After 5 weeks of growth, young tomato plants were exposed to either control (22/18°C) or heat stress (35/25°C) conditions for 2 weeks. Within this period, water consumption, leaf angles and leaf color were determined. Additionally, gas exchange and leaf temperature were investigated. Finally, biomass traits were recorded. The resulting multivariate dataset on phenotypic plasticity was evaluated to test the hypothesis, that more tolerant genotypes have less affected phenotypes upon stress adaptation. For this, a cluster-analysis-based approach was developed that involved a principal component analysis (PCA), dimension reduction and determination of Euclidean distances. These distances served as measure for the phenotypic plasticity upon heat stress. Statistical evaluation allowed the identification and classification of homogeneous groups consisting each of four putative more or less heat stress tolerant genotypes. The resulting classification of the internal references as “tolerant” highlights the applicability of our proposed tolerance assessment model. PCA factor analysis on principal components 1–3 which covered 76.7% of variance within the phenotypic data, suggested that some laborious measure such as the gas exchange might be replaced with the determination of leaf temperature in larger heat stress screenings. Hence, the overall advantage of the presented method is rooted in its suitability of both, planning and executing screenings for abiotic stress tolerance using multivariate phenotypic data to overcome the challenge of identifying abiotic stress tolerant plants from existing germplasms and promote sustainable agriculture for the future.
Changes in Microbial Diversity and Nutritional Components of Mare Milk Before and After Traditional Fermentation
Authors: Li Qinyu , Zhao Yulian , Siqin Bateer , Xilin Tuya , Zhang Na , Li Minhui
Published: July 2022

The formation and quality of nutrients before and after fermentation depends on microbial community dynamics. In this study, the nutrients and microflora of mare milk were studied before and after traditional fermentation. To achieve this goal, ultra-performance liquid chromatography-mass spectrometry and Illumina MiSeq sequencing were used to study the changes in the main nutrients and microbial communities, respectively, before and after mare milk traditional fermentation. A total of 81 nutrients were identified before and after the fermentation of mare milk into koumiss; among these, 6 compounds [citraconic acid, 6-hydroxycaproic acid, creatine, adenine, d-(+)-proline, and histamine] were differentially upregulated. Histamine levels increased after traditional fermentation, whereas Lactobacillus, Dekkera, and Acetobacter grew rapidly and became the dominant microorganisms in the fermentation process. These three genera were positively correlated with creatine and proline levels, whereas Lelliottia was negatively correlated with citraconic acid and proline levels. Prediction of the functions of bacteria and fungi in the mare milk before and after fermentation included carbohydrate metabolism, cofactors and nutrition, and plant pathogens. The results of this study provide new insights into the formation of nutrients in koumiss; it is important to study changes in bacteria and fungi before and after traditional fermentation.
Risk Factors and Clinical Impacts of Post-Pancreatectomy Acute Pancreatitis After Pancreaticoduodenectomy: A Single-Center Retrospective Analysis of 298 Patients Based on the ISGPS Definition and Grading System
Authors: Wu Shuai , Wu Hanxue , Xu Guiping , Zhao Yaling , Xue Feng , Dong Shunbin , Han Liang , Wang Zheng , Wu Zheng
Published: July 2022

Background

The definition and grading system of post-pancreatectomy acute pancreatitis (PPAP) has recently been proposed by ISGPS. This study aimed to put this definition and classification into practice and investigate the potential risk factors and clinical impacts of PPAP.

Methods

Demographic and perioperative data of consecutive patients who underwent pancreaticoduodenectomy (PD) from January 2019 to July 2021 were collected and analyzed retrospectively. The diagnostic criteria of PPAP published by ISGPS, consisting of biochemical, radiologic, and clinical parameters, were adopted. The risk factors were analyzed by univariate and multivariate analyses.

Results

A total of 298 patients were enrolled in this study, and the total incidence of PPAP was 52.4% (150 patients). Stratified by clinical impacts of PPAP, the incidences of grades B and C PPAP were 48.9% and 3.5%, respectively. PPAP after PD was significantly associated with pancreatic fistula and other unfavorable complications. Soft pancreatic texture (OR 3.0) and CRP ≥ 180 mg/L (OR 3.6) were the independent predictors of PPAP, AUC 0.613. Stratified by the grade of PPAP, soft pancreatic texture (OR 2.7) and CRP ≥ 180 mg/L (OR 3.4) were the independent predictors of grade B PPAP, and soft pancreatic texture (OR 19.3), operation duration >360 min (OR 13.8), and the pancreatic anastomosis by using conventional duct to mucosa methods (OR 10.4) were the independent predictors of grade C PPAP. PPAP complicated with pancreatic fistula significantly increased the severe complications and mortality compared to only PPAP occurrence.

Conclusion

PPAP was not an uncommon complication after PD and was associated with unfavorable clinical outcomes, especially since it was complicated with pancreatic fistula. Soft pancreatic texture and CRP ≥ 180 mg/L were the independent predictors of PPAP. Higher-volume multicenter and prospective studies are strongly needed.
The Development of 3D Bovine Intestinal Organoid Derived Models to Investigate Mycobacterium Avium ssp Paratuberculosis Pathogenesis
Authors: Blake Rosemary , Jensen Kirsty , Mabbott Neil , Hope Jayne , Stevens Joanne
Published: July 2022

Mycobacterium avium subspecies paratuberculosis (MAP) is the etiological agent of Johne's Disease, a chronic enteritis of ruminants prevalent across the world. It is estimated that approximately 50% of UK dairy herds are infected with MAP, but this is likely an underestimate of the true prevalence. Infection can result in reduced milk yield, infertility and premature culling of the animal, leading to significant losses to the farming economy and negatively affecting animal welfare. Understanding the initial interaction between MAP and the host is critical to develop improved diagnostic tools and novel vaccines. Here we describe the characterisation of three different multicellular in vitro models derived from bovine intestinal tissue, and their use for the study of cellular interactions with MAP. In addition to the previously described basal-out 3D bovine enteroids, we have established viable 2D monolayers and 3D apical-out organoids. The apical-out enteroids differ from previously described bovine enteroids as the apical surface is exposed on the exterior surface of the 3D structure, enabling study of host-pathogen interactions at the epithelial surface without the need for microinjection. We have characterised the cell types present in each model system using RT-qPCR to detect predicted cell type-specific gene expression, and confocal microscopy for cell type-specific protein expression. Each model contained the cells present in the original bovine intestinal tissue, confirming they were representative of the bovine gut. Exposure of the three model systems to the K10 reference strain of MAP K10, and a recent Scottish isolate referred to as C49, led to the observation of intracellular bacteria by confocal microscopy. Enumeration of the bacteria by quantification of genome copy number, indicated that K10 was less invasive than C49 at early time points in infection in all model systems. This study shows that bovine enteroid-based models are permissive to infection with MAP and that these models may be useful in investigating early stages of MAP pathogenesis in a physiologically relevant in vitro system, whilst reducing the use of animals in scientific research.

Bos taurus: urn:lsid:zoobank.org:act:4C90C4FA-6296-4972-BE6A-5EF578677D64
Disrupting ACE2 Dimerization Mitigates the Infection by SARS-CoV-2 Pseudovirus
Authors: Zhu Jiaqi , Su Yue , Tang Young
Published: July 2022

The coronavirus disease 2019 pandemic has caused over million death and 500 million reported cases globally. More effective antiviral medications are needed to curb the continued spread of this disease. The infection by SARS-CoV-2 virus is initiated via the interaction between the receptor binding domain (RBD) of the viral glycoprotein Spike (S protein) and the N-term peptidase domain of the angiotensin-converting enzyme 2 (ACE2) expressed on the host cell membrane. ACE2 forms a protein homodimer primarily through its ferredoxin-like fold domain (a.k.a., Neck-domain). We investigated whether the dimerization of ACE2 receptor plays a role in SARS-CoV-2 virus infection. We report here that the ACE2 receptor dimerization enhances the recognition of SARS-CoV-2 S protein. A 43-amino-acid peptide based on the N-term of Neck-domain could block the ACE2 dimerization and hence the interaction between RBD and ACE2 and mitigate the SARS-CoV-2 S protein pseudotyped virus/host cell interaction. Our study illustrated a new route to develop potential therapeutics for the prevention and treatment of SARS-CoV-2 viral infection.
Social Inequalities in Participation in Cervical Cancer Screening in a Metropolitan Area Implementing a Pilot Organised Screening Programme (Paris Region, France)
Authors: Audiger Céline , Bovagnet Thomas , Bardes Julia , Abihsera Gaëlle , Nicolet Jérôme , Deghaye Michel , Bochaton Audrey , Menvielle Gwenn
Published: July 2022

Objectives: We aimed to examine social inequalities in participation in cervical cancer screening (CCS) in a metropolitan area by implementing a pilot organised screening programme. The pilot programme consisted of sending invitations to women who did not perform a pap smear within the past 3 years, managing interventions to reach vulnerable women, training healthcare professionals, and organising follow-ups of abnormal pap smears.

Methods: We studied participation in CCS between January 2014 and December 2016 among 241,257 women aged 25–63 years old. To assess relative inequalities, Odds Ratios were computed using multilevel logistic regression. To assess absolute inequalities, the CCS coverage and the rate difference were calculated. Inequalities were computed by age and neighbourhood characteristics (social deprivation and proportion of single women).

Results: Disparities in participation in CCS were observed by age and social deprivation. For overall screening compared to opportunistic screening, disparities by age were larger (OR25-35_vs._55–64 = 2.13 [2.08–2.19] compared to 2.02 [1.96–2.07]), but disparities by social deprivation were decreased (OR10%_most_vs._10%_least_deprived = 2.09 [1.90–2.30] compared to 2.22 [2.02–2.44]).

Conclusion: Disparities in CCS participation remain despite the organised programme. To reduce these inequalities, free screening should be proposed and evaluated.
Changing to an Opt Out System for Organ Donation—Reflections From England and Netherlands
Authors: Jansen N. E. , Williment C. , Haase-Kromwijk B. J. J. M. , Gardiner D.
Published: July 2022

Recently England and Netherlands have changed their consent system from Opt In to Opt Out. The reflections shared in this paper give insight and may be helpful for other nation considering likewise. Strong support in England for the change in legislation led to Opt Out being introduced without requiring a vote in parliament in 2019. In Netherlands the bill passed by the smallest possible majority in 2018. Both countries implemented a public campaign to raise awareness. In England registration on the Donor Register is voluntary. Registration was required in Netherlands for all residents 18 years and older. For those not already on the register, letters were sent by the Dutch Government to ask individuals to register. If people did not respond they would be legally registered as having “no objection.” After implementation of Opt Out in England 42.3% is registered Opt In, 3.6% Opt Out, and 54.1% has no registration. In contrast in Netherlands the whole population is registered with 45% Opt In, 31% Opt Out and 24% “No Objection.” It is too soon to draw conclusions about the impact on the consent rate and number of resulting organ donors. However, the first signs are positive.
Kinematic-Based Multi-Objective Design Optimization of a Grapevine Pruning Robotic Manipulator
Authors: Molaei Faezeh , Ghatrehsamani Shirin
Published: July 2022

Annual cane pruning of grape vineyards is a time-consuming and labor-intensive job, but no mechanized or automatic way has been developed to do it yet. Robotic pruning can be a perfect alternative to human labor. This article proposes a systematic seven-stage procedure to design a kinematically optimized manipulator, named ‘Prubot’, to manage vineyards’ cane pruning. The manipulator structure was chosen, resulting in a 7R (Revolute) manipulator with a spherical shoulder and wrist. To obtain the design constraints, the manipulator task space was modeled. The robot’s second and third link lengths were determined by optimizing the global translational version of the measure of manipulability and the measure of isotropy of the manipulator arm section. Finally, simulations confirmed the appropriateness of the manipulator workspace. Furthermore, sampling-based path planning simulations were carried out to evaluate the manipulator’s kinematic performance. Results illustrated the impressive kinematic performance of the robot in terms of path planning success rate (≅100%). The simulations also suggest that among the eight single-query sampling-based path planning algorithms used in the simulations, Lazy RRT and KPIECE are the best (≤5 s & ~100%) and worst ≥5 s &≤25% path planning algorithms for such a robot in terms of computation time and success rate, respectively. The procedure proposed in this paper offers a foundation for the kinematic and task-based design of a cane pruning manipulator. It could be promisingly used for designing similar agricultural manipulators.
Suitability of Early Blight Forecasting Systems for Detecting First Symptoms in Potato Crops of NW Spain
Authors: Meno Laura , Abuley Isaac Kwesi , Escuredo Olga , Seijo M. Carmen
Published: July 2022

In recent years, early blight epidemics have been frequently causing important yield loses in potato crop. This fungal disease develops quickly when weather conditions are favorable, forcing the use of fungicides by farmers. A Limia is one of the largest areas for potato production in Spain. Usually, early blight epidemics are controlled using pre-established schedule calendars. This strategy is expensive and can affect the environment of agricultural areas. Decision support systems are not currently in place to be used by farmers for managing early blight. Thus, the objective of this research was to evaluate different early blight forecasting models based on plant or/and pathogen requirements and weather conditions to check their suitability for predicting the first symptoms of early blight, which is necessary to determine the timings of the first fungicide application. For this, weather, phenology and symptomatology of disease were monitored throughout five crop seasons. The first early blight symptoms appeared starting the flowering stage, between 37 and 40 days after emergence of plants. The forecasting models that were based on plants offered the best results. Specifically, the Wang-Engel model, with 1.4 risk units and Growing Degree-Days (361 cumulative units) offeredthe best prediction. The pathogen-based models showed a conservative forecast, whereas the models that integrated both plant and pathogen features forecasted the first early blight attack markedly later.
Is the Use of Bisphosphonates Putting Horses at Risk? An Osteoclast Perspective
Authors: Vergara-Hernandez Fernando B. , Nielsen Brian D. , Colbath Aimee C.
Published: July 2022

Osteoclasts are unique and vital bone cells involved in bone turnover. These cells are active throughout the individual’s life and play an intricate role in growth and remodeling. However, extra-label bisphosphonate use may impair osteoclast function, which could result in skeletal microdamage and impaired healing without commonly associated pain, affecting bone remodeling, fracture healing, and growth. These effects could be heightened when administered to growing and exercising animals. Bisphosphonates (BPs) are unevenly distributed in the skeleton; blood supply and bone turnover rate determine BPs uptake in bone. Currently, there is a critical gap in scientific knowledge surrounding the biological impacts of BP use in exercising animals under two years old. This may have significant welfare ramifications for growing and exercising equids. Therefore, future research should investigate the effects of these drugs on skeletally immature horses.
Reproductive Injury in Male Rats from Acrylamide Toxicity and Potential Protection by Earthworm Methanolic Extract
Authors: Ahmed Mohamed M. , Hammad Amany A. , Orabi Sahar H. , Elbaz Hamed T. , Elweza Ahmed E. , Tahoun Enas A. , Elseehy Mona M. , El-Shehawi Ahmed M. , Mousa Ahmed A.
Published: July 2022

This study examined the protective effect of earthworm extract (EE) on acrylamide (ACR)-induced reproductive dysfunction. Forty male rats were allocated into four groups (n = 10). The G I (control) group received distilled water (D.W.). The G II group received ACR (5 mg kg−1 B.W. in D.W.) 5 days per week, orally, for 3 weeks. The G III group was administered EE (300 mg kg−1 B.W in D.W.) 5 days per week, orally, for 3 weeks. The G IV group was pretreated with EE for 3 weeks and then co-treated with EE and ACR for an additional 3 weeks. ACR decreased the number of sperm, sperm viability, and total motility. However, it increased testosterone levels with no effect on the FSH or LH levels. Moreover, ACR increased the concentrations of malondialdehyde (MDA) and nitric oxide (NO). Meanwhile, it decreased the glutathione (GSH) concentration in testicular tissues. Notably, the expression levels of p53 and Ki-67 were increased in the degenerated spermatogenic cells and in the hyperplastic Leydig cells of the testis of the ACR-treated group, respectively. Acrylamide induced alterations in the testicular tissue architecture. Interestingly, EE restored the sperm parameters and recovered the testicular histological structures and the biochemical alterations induced by ACR. In conclusion, earthworm extract ameliorated ACR-induced reproductive toxicity via restoring the testicular antioxidant balance and suppressing p53 and Ki-67 expressions in testicular tissues.
Eco-Friendly Silica Microcapsules with Improved Fragrance Retention
Authors: Yeom Junseok , Shim Woo Sun , Kang Nae Gyu
Published: July 2022

Microcapsules are employed extensively in various applications; however, most are composed of synthetic plastics. Thus, substitution of their component materials is essential to prevent environmental problems associated with primary microplastics. Herein, we report the synthesis of eco-friendly silica core–shell microcapsules for fragrance retention. The silica shell was prepared via oil/water emulsion template synthesis using tetraethyl orthosilicate (TEOS), which was added to the immature silica microcapsules prior to complete formation of primary silica shells to promote seeded growth for further reaction of silica. The thickness of the silica shell increased from 42.29 to 70.03 nm, while the Brunauer–Emmett–Teller surface area and internal pore area decreased from 155.16 and 30.08 m2/g to 92.28 and 5.36 m2/g, respectively. The silica microcapsules with lower surface areas retained fragrance for more than 80 days, even in a harsh environment of 15% sodium dodecyl sulfate at 60 °C, whereas the fragrance compound in those without additional TEOS treatment was completely released within seven days. Practical qualitative evaluation of fragrance was also performed for application in fragrance delivery because of the enhanced long-term fragrance retention ability. Our findings show the widespread potential of microcapsules synthesized from eco-friendly materials in industrial applications.
A Self-Color-Changing Film with Periodic Nanostructure for Anti-Counterfeit Application
Authors: Sripradit Abhisit , Theeradejvanichkul Thorin
Published: July 2022

A self-color-changing film aimed at enhanced security and anti-counterfeit packaging is presented. Its function is to change color automatically when flipped under visible light. It is low-cost, takes a few seconds to check by the naked eye, and does not need any special tools to evaluate. The design of the color-changing, anti-counterfeiting film is based on a frequency-selective surface (FSS). The film is designed with aluminum nanocubes. They are laid out as an array in a plane with equal distance from one another. This arrangement allows us to select certain wavelengths of light to pass through by the size of the cubes and the separation distance between them. The performance is evaluated by a finite element analysis (FEA) method. The results show that the intersection of transmittance and the reflectance curves cause the film to change its color automatically when flipped. We also propose a method to predict the color of the film based on the transmittance values. The accuracy of this method is verified by actual colors from experiments with an error of no more than 12.8%, analyzed by the CIE chromaticity diagram.
Montmorillonite Nanoclay and Formulation with Satureja montana Essential Oil as a Tool to Alleviate Xanthomonas euvesicatoria Load on Solanum lycopersicum
Authors: Oliveira-Pinto Paulo R. , Mariz-Ponte Nuno , Gil Renato L. , Cunha Edite , Amorim Célia G. , Montenegro Maria C. B. S. M. , Fernandes-Ferreira Manuel , Sousa Rose M. O. F. , Santos Conceição
Published: July 2022

Bacterial spot (BS) of tomato (S. lycopersicum), caused by Xanthomonas spp., namely X. euvesicatoria (Xeu), is one of the major threats for the production of this crop worldwide. Developing new biocontrol solutions against this disease will allow disease management strategies to be less based on Cu compounds. Nanoclays, such as montmorillonite (NMT), have been under investigation for their antimicrobial activity, or as delivery tools/stabilizers for organic compounds, such as essential oils (EOs), that also possess antimicrobial activity against plant pathogens. This work aims to assess how the application of NMT alone or incorporating S. montana EO on Xeu-infected hosts (var. Oxheart) affects the shoots’ redox status and antioxidant defense mechanisms. In vitro shoots, grown on Murashige and Skoog medium, were divided in two groups, Xeu-infected and uninfected (control) shoots. Shoots of each group were then treated with NMT, S. montana EO, EO-NMT. Results show that the NMT was able to reduce Xeu bacterial amount, while reducing ROS production and keeping the transcript levels of the defense-related genes close to those of the control. When applied to uninfected shoots, the treatments triggered the production of ROS and upregulated the phenylpropanoid and hormone pathway, which suggest that they act as defense elicitors. Globally, the results indicate that NMT has the potential to integrate BS management strategies, due to its antimicrobial activity, and that EO and/or nanoclays could be successfully employed as new disease preventive strategies, since they enhance the healthy shoots’ defense, thus potentially limiting the pathogen establishment.
Comparison between Multi-Physics and Stochastic Approaches for the 20 July 2021 Henan Heavy Rainfall Case
Authors: Shao Duanzhou , Zhang Yu , Xu Jianjun , Zhang Hanbin , Chen Siqi , Tu Shifei
Published: July 2022

In this study, three model perturbation schemes, the stochastically perturbed parameter scheme (SPP), stochastically perturbed physics tendency (SPPT), and multi-physics process parameterization (MP), were used to represent the model errors in the regional ensemble prediction systems (REPS). To study the effects of different model perturbation schemes on heavy rainfall forecasting, three sensitive experiments using three different combinations (EXP1: MP, EXP2: SPPT + SPP, and EXP3: MP + SPPT + SPP) of the model perturbation schemes were set up based on the Weather Research and Forecasting (WRF)-V4.2 model for a heavy rainfall case that occurred in Henan, China during 20–22 July 2021. The results show that the model perturbation schemes can provide forecast uncertainties for this heavy rainfall case. The stochastic physical perturbation method could improve the heavy rainfall forecast skill by approximately 5%, and EXP3 had better performance than EXP1 or EXP2. The spread-to-root mean square error ratios (spread/RMSE) of EXP3 were closer to 1 compared with those of the EXP1 and EXP2; particularly for the meridional wind above 10 m, the spread/RMSE was 0.94 for EXP3 and approximately 0.85 for EXP1 and EXP2. EXP3 exhibited better performance in Brier score verification. EXP3 had a 5% lower Brier score than EXP1 and EXP2, when the rainfall threshold was 25 mm. The growth of the initial ensemble variances of different model perturbation schemes were explored, and the results show that the perturbation energy of EXP3 developed faster, with a magnitude of 27.22 J/kg, whereas those of EXP1 and EXP2 were only 19.18 J/kg and 20.81 J/kg, respectively. The weak initial perturbation associated with the wind shear north of the heavy rainfall location can be easily developed by EXP3.
Sixteen-Year Monitoring of Particulate Matter Exposure in the Parisian Subway: Data Inventory and Compilation in a Database
Authors: Ben Rayana Tesnim , Debatisse Amélie , Jouannique Valérie , Sakthithasan Kirushanthi , Besançon Sophie , Molle Romain , Wild Pascal , Guinhouya Benjamin C. , Guseva Canu Irina
Published: July 2022

The regularly reported associations between particulate matter (PM) exposure, and morbidity and mortality due to respiratory, cardiovascular, cancer, and metabolic diseases have led to the reduction in recommended outdoor PM10 and PM2.5 exposure limits. However, indoor PM10 and PM2.5 concentrations in subway systems in many cities are often higher than outdoor concentrations. The effects of these exposures on subway workers and passengers are not well known, mainly because of the challenges in exposure assessment and the lack of longitudinal studies combining comprehensive exposure and health surveillance. To fulfill this gap, we made an inventory of the PM measurement campaigns conducted in the Parisian subway since 2004. We identified 5856 PM2.5 and 18,148 PM10 results from both personal and stationary air sample measurements that we centralized in a database along with contextual information of each measurement. This database has extensive coverage of the subway network and will enable descriptive and analytical studies of indoor PM exposure in the Parisian subway and its potential effects on human health.
Phytochemical Profiling and Bio-Potentiality of Genus Scutellaria: Biomedical Approach
Authors: Shah Muddaser , Mubin Sidra , Hassan Syed Shams ul , Tagde Priti , Ullah Obaid , Rahman Md. Habibur , Al-Harrasi Ahmed , Rehman Najeeb Ur , Murad Waheed
Published: July 2022

Scutellaria (Lamiaceae) comprises over 360 species. Based on its morphological structure of calyx, also known as Skullcap, it is herbaceous by habit and cosmopolitan by habitat. The species of Scutellaria are widely used in local communities as a natural remedy. The genus contributed over three hundred bioactive compounds mainly represented by flavonoids and phenols, chemical ingredients which serve as potential candidates for the therapy of various biological activities. Thus, the current review is an attempt to highlight the biological significance and its correlation to various isolated bioactive ingredients including flavonoids, terpenoids, phenols, alkaloids, and steroids. However, flavonoids were the dominant group observed. The findings of the Scutellaria reveal that due to its affluent basis of numerous chemical ingredients it has a diverse range of pharmacological potentials, such as antimicrobial, antioxidant, antifeedant, enzyme inhibition, anti-inflammatory, and analgesic significance. Currently, various bioactive ingredients have been investigated for various biological activities from the genus Scutellaria in vitro and in vivo. Furthermore, these data help us to highlight its biomedical application and to isolate the responsible compounds to produce innovative medications as an alternative to synthetic drugs.
Innate and Adaptive Responses of Intratumoral Immunotherapy with Endosomal Toll-Like Receptor Agonists
Authors: Andón Fernando Torres , Leon Sergio , Ummarino Aldo , Redin Esther , Allavena Paola , Serrano Diego , Anfray Clément , Calvo Alfonso
Published: July 2022

Toll-like receptors (TLRs) are natural initial triggers of innate and adaptive immune responses. With the advent of cancer immunotherapy, nucleic acids engineered as ligands of endosomal TLRs have been investigated for the treatment of solid tumors. Despite promising results, their systemic administration, similarly to other immunotherapies, raises safety issues. To overcome these problems, recent studies have applied the direct injection of endosomal TLR agonists in the tumor and/or draining lymph nodes, achieving high local drug exposure and strong antitumor response. Importantly, intratumoral delivery of TLR agonists showed powerful effects not only against the injected tumors but also often against uninjected lesions (abscopal effects), resulting in some cases in cure and antitumoral immunological memory. Herein, we describe the structure and function of TLRs and their role in the tumor microenvironment. Then, we provide our vision on the potential of intratumor versus systemic delivery or vaccination approaches using TLR agonists, also considering the use of nanoparticles to improve their targeting properties. Finally, we collect the preclinical and clinical studies applying intratumoral injection of TLR agonists as monotherapies or in combination with: (a) other TLR or STING agonists; (b) other immunotherapies; (c) radiotherapy or chemotherapy; (d) targeted therapies.
Effects of Hippocampal Sparing Radiotherapy on Brain Microstructure—A Diffusion Tensor Imaging Analysis
Authors: Dinkel Johannes G. , Lahmer Godehard , Mennecke Angelika , Hock Stefan W. , Richter-Schmidinger Tanja , Fietkau Rainer , Distel Luitpold , Putz Florian , Dörfler Arnd , Schmidt Manuel A.
Published: July 2022

Hippocampal-sparing radiotherapy (HSR) is a promising approach to alleviate cognitive side effects following cranial radiotherapy. Microstructural brain changes after irradiation have been demonstrated using Diffusion Tensor Imaging (DTI). However, evidence is conflicting for certain parameters and anatomic structures. This study examines the effects of radiation on white matter and hippocampal microstructure using DTI and evaluates whether these may be mitigated using HSR. A total of 35 tumor patients undergoing a prospective randomized controlled trial receiving either conventional or HSR underwent DTI before as well as 6, 12, 18, 24, and 30 (±3) months after radiotherapy. Fractional Anisotropy (FA), Mean Diffusivity (MD), Axial Diffusivity (AD), and Radial Diffusivity (RD) were measured in the hippocampus (CA), temporal, and frontal lobe white matter (TL, FL), and corpus callosum (CC). Longitudinal analysis was performed using linear mixed models. Analysis of the entire patient collective demonstrated an overall FACC decrease and RDCC increase compared to baseline in all follow-ups; ADCC decreased after 6 months, and MDCC increased after 12 months (p ≤ 0.001, 0.001, 0.007, 0.018). ADTL decreased after 24 and 30 months (p ≤ 0.004, 0.009). Hippocampal FA increased after 6 and 12 months, driven by a distinct increase in ADCA and MDCA, with RDCA not increasing until 30 months after radiotherapy (p ≤ 0.011, 0.039, 0.005, 0.040, 0.019). Mean radiation dose correlated positively with hippocampal FA (p < 0.001). These findings may indicate complex pathophysiological changes in cerebral microstructures after radiation, insufficiently explained by conventional DTI models. Hippocampal microstructure differed between patients undergoing HSR and conventional cranial radiotherapy after 6 months with a higher ADCA in the HSR subgroup (p ≤ 0.034).
The Influence of Administrative Division Adjustment on Enterprise Earnings Management: A Quasi-Natural Experiment on City–County Consolidation
Authors: Xu Yueling , Ge Yijiu , Bao Haijun
Published: July 2022

City–county consolidation is a common measure used by many cities to promote urbanization. This study develops the theoretical transmission mechanism, “city-county consolidation intensifies competition in the enterprise market improves the earnings management level of enterprises,” to analyze the influence of city–county consolidation on enterprises’ earnings management. An empirical analysis using the difference-in-differences (DID) method was conducted on data of industrial enterprises from 1999 to 2006. The results show that city–county consolidation promotes motivation for the use of enterprises’ earnings management. Second, city–county consolidation significantly intensifies enterprises’ downward earnings management behavior. Third, following city–county consolidation, non-state-owned enterprises are more strongly motivated to implement earnings management than state-owned enterprises. Fourth, city–county consolidation only significantly impacts the earnings management of enterprises affiliated with counties; it does not significantly impact the earnings management of those affiliated with central, provincial, or municipal governments. Therefore, this study provides empirical evidence from the perspective of market competition, which has important reference significance for urbanization development to improve national governance capacity by optimizing administrative divisions.
Studying the Indoor Environment and Comfort of a University Laboratory: Air-Conditioning Operation and Natural Ventilation Used as a Countermeasure against COVID-19
Authors: Kuwahara Ryoichi , Kim Hyuntae
Published: July 2022

In this study, the indoor air quality and thermal environment of a university facility were analyzed when an air conditioner was operated and natural ventilation was provided; the most effective natural ventilation method was also evaluated. The research conditions were established by adjusting the temperature of the air conditioner, and frequency of window openings every hour. The area around the windows that is open for natural ventilation was easily affected by outdoor air temperature and humidity. However, since the air conditioner was operating, there was only a brief period during which the environment was uncomfortable. Therefore, the participants in the questionnaire survey expressed neutrality or slight satisfaction for the thermal environment of the entire space. Setting the room temperature to 25 °C in summer was highly comfortable and generated a satisfactory indoor thermal environment. When the room temperature was set to 20 °C in winter, the thermal comfort level was higher than in the other conditions. Providing natural ventilation for 5 min every 30 min was determined to be effective in maintaining an indoor CO2 concentration of 1000 ppm or less. Facilitating natural ventilation for 10 min every 60 min allowed the entry of a large amount of fresh air; however, due to the extended period in which the windows and doors were closed, there were instances when the indoor CO2 concentration exceeded 1000 ppm. Therefore, providing frequent natural ventilation with short time intervals is effective for improving indoor air quality.