bluuebunny/crossref_metadata_2025 huggingface dataset:
Uracil restores susceptibility of methicillin-resistant Staphylococcus aureus to aminoglycosides through metabolic reprogramming
Authors: Fan Lvyuan , Pan Zhiyu , Liao Xu , Zhong Yilin , Guo Juan , Pang Rui , Chen Xinhai , Ye Guozhu , Su Yubin
Published: January 2023

Background: Methicillin-resistant Staphylococcus aureus (MRSA) has now become a major nosocomial pathogen bacteria and resistant to many antibiotics. Therefore, Development of novel approaches to combat the disease is especially important. The present study aimed to provide a novel approach involving the use of nucleotide-mediated metabolic reprogramming to tackle intractable methicillin-resistant S. aureus (MRSA) infections.

Objective: This study aims to explore the bacterial effects and mechanism of uracil and gentamicin in S. aureus.

Methods: Antibiotic bactericidal assays was used to determine the synergistic bactericidal effect of uracil and gentamicin. How did uracil regulate bacterial metabolism including the tricarboxylic acid (TCA) cycle by GC-MS-based metabolomics. Next, genes and activity of key enzymes in the TCA cycle, PMF, and intracellular aminoglycosides were measured. Finally, bacterial respiration, reactive oxygen species (ROS), and ATP levels were also assayed in this study.

Results: In the present study, we found that uracil could synergize with aminoglycosides to kill MRSA (USA300) by 400-fold. Reprogramming metabolomics displayed uracil reprogrammed bacterial metabolism, especially enhanced the TCA cycle to elevate NADH production and proton motive force, thereby promoting the uptake of antibiotics. Furthermore, uracil increased cellular respiration and ATP production, resulting the generation of ROS. Thus, the combined activity of uracil and antibiotics induced bacterial death. Inhibition of the TCA cycle or ROS production could attenuate bactericidal efficiency. Moreover, uracil exhibited bactericidal activity in cooperation with aminoglycosides against other pathogenic bacteria. In a mouse mode of MRSA infection, the combination of gentamicin and uracil increased the survival rate of infected mice.

Conclusion: Our results suggest that uracil enhances the activity of bactericidal antibiotics to kill Gram-positive bacteria by modulating bacterial metabolism.
Effect of viscoelasticity on displacement processes in porous media
Authors: Jung Michael , Shakeri Pegah , Seemann Ralf
Published: January 2023

Improving the displacement efficiency of capillary entrapments in porous media by adding high molecular weight polymers to the invading phase has various industrial applications, from enhanced oil recovery to soil remediation. Apart from an increased viscosity contrast compared to regular water flooding, the flow of viscoelastic polymer solutions exhibits unstable flow behavior even at small Reynolds numbers, which can lead to an additional displacement mechanism of the capillary entrapments. In this work, we employ a microfluidic approach to unravel the underlying physics and mechanism of this enhanced pore scale displacement. To this end, we show that the major complex topological flow features in a typical porous medium can be mimicked by a flow geometry consisting of a single capillary entrapment connected to two symmetric serpentine channels. This design excludes the effect of viscous stresses and allows direct focus on displacement processes driven solely by elastic stresses. We show that the unique viscoelastic fluid features, such as the significant storage and release of elastic stresses and first normal stress difference, combined with the flow geometry, lead to purely elastic instability and secondary flow, which in turn provide the stresses necessary to overcome the capillary threshold and displace the capillary entrapment.
CellPalmSeq: A curated RNAseq database of palmitoylating and de-palmitoylating enzyme expression in human cell types and laboratory cell lines
Authors: Wild Angela R. , Hogg Peter W. , Flibotte Stephane , Kochhar Shruti , Hollman Rocio B. , Haas Kurt , Bamji Shernaz X.
Published: January 2023

The reversible lipid modification protein S-palmitoylation can dynamically modify the localization, diffusion, function, conformation and physical interactions of substrate proteins. Dysregulated S-palmitoylation is associated with a multitude of human diseases including brain and metabolic disorders, viral infection and cancer. However, the diverse expression patterns of the genes that regulate palmitoylation in the broad range of human cell types are currently unexplored, and their expression in commonly used cell lines that are the workhorse of basic and preclinical research are often overlooked when studying palmitoylation dependent processes. We therefore created CellPalmSeq (https://cellpalmseq.med.ubc.ca), a curated RNAseq database and interactive webtool for visualization of the expression patterns of the genes that regulate palmitoylation across human single cell types, bulk tissue, cancer cell lines and commonly used laboratory non-human cell lines. This resource will allow exploration of these expression patterns, revealing important insights into cellular physiology and disease, and will aid with cell line selection and the interpretation of results when studying important cellular processes that depend on protein S-palmitoylation.
Extraction of 3D distribution of potato plant CWSI based on thermal infrared image and binocular stereovision system
Authors: Wang Liuyang , Miao Yanlong , Han Yuxiao , Li Han , Zhang Man , Peng Cheng
Published: January 2023

As the largest component of crops, water has an important impact on the growth and development of crops. Timely, rapid, continuous, and non-destructive detection of crop water stress status is crucial for crop water-saving irrigation, production, and breeding. Indices based on leaf or canopy temperature acquired by thermal imaging are widely used for crop water stress diagnosis. However, most studies fail to achieve high-throughput, continuous water stress detection and mostly focus on two-dimension measurements. This study developed a low-cost three-dimension (3D) motion robotic system, which is equipped with a designed 3D imaging system to automatically collect potato plant data, including thermal and binocular RGB data. A method is developed to obtain 3D plant fusion point cloud with depth, temperature, and RGB color information using the acquired thermal and binocular RGB data. Firstly, the developed system is used to automatically collect the data of the potato plants in the scene. Secondly, the collected data was processed, and the green canopy was extracted from the color image, which is convenient for the speeded-up robust features algorithm to detect more effective matching features. Photogrammetry combined with structural similarity index was applied to calculate the optimal homography transform matrix between thermal and color images and used for image registration. Thirdly, based on the registration of the two images, 3D reconstruction was carried out using binocular stereo vision technology to generate the original 3D point cloud with temperature information. The original 3D point cloud data were further processed through canopy extraction, denoising, and k-means based temperature clustering steps to optimize the data. Finally, the crop water stress index (CWSI) of each point and average CWSI in the canopy were calculated, and its daily variation and influencing factors were analyzed in combination with environmental parameters. The developed system and the proposed method can effectively detect the water stress status of potato plants in 3D, which can provide support for analyzing the differences in the three-dimensional distribution and spatial and temporal variation patterns of CWSI in potato.
Soil amendment with cow dung modifies the soil nutrition and microbiota to reduce the ginseng replanting problem
Authors: Tagele Setu Bazie , Kim Ryeong-Hui , Jeong Minsoo , Lim Kyeongmo , Jung Da-Ryung , Lee Dokyung , Kim Wanro , Shin Jae-Ho
Published: January 2023

Ginseng is a profitable crop worldwide; however, the ginseng replanting problem (GRP) is a major threat to its production. Soil amendment is a non-chemical method that is gaining popularity for alleviating continuous cropping obstacles, such as GRP. However, the impact of soil amendment with either cow dung or canola on GRP reduction and the associated soil microbiota remains unclear. In the present study, we evaluated the effect of soil amendment with cow dung, canola seed powder, and without amendment (control), on the survival of ginseng seedling transplants, the soil bacterial and fungal communities, and their associated metabolic functions. The results showed that cow dung increased ginseng seedling survival rate by 100 percent and had a remarkable positive effect on ginseng plant growth compared to control, whereas canola did not. Cow dung improved soil nutritional status in terms of pH, electrical conductivity, NO3−, total carbon, total phosphorus, and available phosphorus. The amplicon sequencing results using Illumina MiSeq showed that canola had the strongest negative effect in reducing soil bacterial and fungal diversity. On the other hand, cow dung stimulated beneficial soil microbes, including Bacillus, Rhodanobacter, Streptomyces, and Chaetomium, while suppressing Acidobacteriota. Community-level physiological profiling analysis using Biolog Ecoplates containing 31 different carbon sources showed that cow dung soil had a different metabolic activity with higher utilization rates of carbohydrates and polymer carbon sources, mainly Tween 40 and beta-methyl-d-glucoside. These carbon sources were most highly associated with Bacillota. Furthermore, predicted ecological function analyses of bacterial and fungal communities showed that cow dung had a higher predicted function of fermentation and fewer functions related to plant pathogens and fungal parasites, signifying its potential to enhance soil suppressiveness. Co-occurrence network analysis based on random matrix theory (RMT) revealed that cow dung transformed the soil microbial network into a highly connected and complex network. This study is the first to report the alleviation of GRP using cow dung as a soil amendment, and the study contributes significantly to our understanding of how the soil microbiota and metabolic alterations via cow dung can aid in GRP alleviation.
A variety test platform for the standardization and data quality improvement of crop variety tests
Authors: Yang Feng , Liu Zhongqiang , Wang Yuxi , Wang Xiaofeng , Zhang Qiusi , Han Yanyun , Zhao Xiangyu , Pan Shouhui , Yang Shuo , Wang Shufeng , Zhang Qi , Qiu Jun , Wang Kaiyi
Published: January 2023

Variety testing is an indispensable and essential step in the process of creating new improved varieties from breeding to adoption. The performance of the varieties can be compared and evaluated based on multi-trait data from multi-location variety tests in multiple years. Although high-throughput phenotypic platforms have been used for observing some specific traits, manual phenotyping is still widely used. The efficient management of large amounts of data is still a significant problem for crop variety testing. This study reports a variety test platform (VTP) that was created to manage the whole workflow for the standardization and data quality improvement of crop variety testing. Through the VTP, the phenotype data of varieties can be integrated and reused based on standardized data elements and datasets. Moreover, the information support and automated functions for the whole testing workflow help users conduct tests efficiently through a series of functions such as test design, data acquisition and processing, and statistical analyses. The VTP has been applied to regional variety tests covering more than seven thousand locations across the whole country, and then a standardized and authoritative phenotypic database covering five crops has been generated. In addition, the VTP can be deployed on either privately or publicly available high-performance computing nodes so that test management and data analysis can be conveniently done using a web-based interface or mobile application. In this way, the system can provide variety test management services to more small and medium-sized breeding organizations, and ensures the mutual independence and security of test data. The application of VTP shows that the platform can make variety testing more efficient and can be used to generate a reliable database suitable for meta-analysis in multi-omics breeding and variety development projects.
Genome-wide association study of agronomical and root-related traits in spring barley collection grown under field conditions
Authors: Ogrodowicz Piotr , Mikołajczak Krzysztof , Kempa Michał , Mokrzycka Monika , Krajewski Paweł , Kuczyńska Anetta
Published: January 2023

The root system is a key component for plant survival and productivity. In particular, under stress conditions, developing plants with a better root architecture can ensure productivity. The objectives of this study were to investigate the phenotypic variation of selected root- and yield-related traits in a diverse panel of spring barley genotypes. By performing a genome-wide association study (GWAS), we identified several associations underlying the variations occurring in root- and yield-related traits in response to natural variations in soil moisture. Here, we report the results of the GWAS based on both individual single-nucleotide polymorphism markers and linkage disequilibrium (LD) blocks of markers for 11 phenotypic traits related to plant morphology, grain quality, and root system in a group of spring barley accessions grown under field conditions. We also evaluated the root structure of these accessions by using a nondestructive method based on electrical capacitance. The results showed the importance of two LD-based blocks on chromosomes 2H and 7H in the expression of root architecture and yield-related traits. Our results revealed the importance of the region on the short arm of chromosome 2H in the expression of root- and yield-related traits. This study emphasized the pleiotropic effect of this region with respect to heading time and other important agronomic traits, including root architecture. Furthermore, this investigation provides new insights into the roles played by root traits in the yield performance of barley plants grown under natural conditions with daily variations in soil moisture content.
Current advances in the identification of plant nematode diseases: From lab assays to in-field diagnostics
Authors: Shao Hudie , Zhang Pan , Peng Deliang , Huang Wenkun , Kong Ling-an , Li Chuanren , Liu Enliang , Peng Huan
Published: January 2023

Plant parasitic nematodes (PPNs) cause an important class of diseases that occur in almost all types of crops, seriously affecting yield and quality and causing great economic losses. Accurate and rapid diagnosis of nematodes is the basis for their control. PPNs often have interspecific overlays and large intraspecific variations in morphology, therefore identification is difficult based on morphological characters alone. Instead, molecular approaches have been developed to complement morphology-based approaches and/or avoid these issues with various degrees of achievement. A large number of PPNs species have been successfully detected by biochemical and molecular techniques. Newly developed isothermal amplification technologies and remote sensing methods have been recently introduced to diagnose PPNs directly in the field. These methods have been useful because they are fast, accurate, and cost-effective, but the use of integrative diagnosis, which combines remote sensing and molecular methods, is more appropriate in the field. In this paper, we review the latest research advances and the status of diagnostic approaches and techniques for PPNs, with the goal of improving PPNs identification and detection.
Structural impairment and conflict load as vulnerability factors for burnout – A cross-sectional study from the German working population
Authors: Perlinger Julia , Gisch Hannes , Ehrenthal Johannes C. , Montag Christiane , Kretschmar Thomas
Published: January 2023

Introduction

Individual vulnerability and resilience factors are increasingly studied in burnout research. This is especially true for clinical variables that translate directly into intervention programs from a psychodynamic perspective. For example, few studies have examined the relationship between structural impairment and the individual spectrum of motivational conflicts according to the Operationalized Psychodynamic Diagnosis system (OPD) in relation to burnout. To substantiate previous findings, we hypothesized that structural impairment as well as motivational conflicts are related to burnout, but that structural impairment explained additional variance and mediated a possible relationship between conflicts and burnout.

Method

The present cross-sectional study was carried out on a sample of the German working population (N = 545). Questionnaires were used to measure structural impairment (OPD-SQS), the conflict-modes along with the category K0 (OPD-CQ), as well as burnout (BOSS-I/-II).

Results

Structural impairment, a number of conflict modes, and burnout were significantly associated. Moreover, structural impairment explained additional variance in burnout. The requirements for the conflict-specific mediation models were given for 9 of the 12 OPD conflict modes. In these models the impact of the conflict modes on burnout was mediated by structural impairment.

Discussion

The current study broadens the comprehension of the relations between structural impairment, the conflict modes and burnout. In addition it higlights the role of structural impairment in predicting burnout risk and possible prevention approaches.
Effects of positive social comparative feedback on motor sequence learning and performance expectancies
Authors: Lewis Allison F. , Bohnenkamp Rachel , Johnson Lynn , den Ouden Dirk B. , Wilcox Sara , Fritz Stacy L. , Stewart Jill Campbell
Published: January 2023

Introduction

Positive social comparative feedback indicates to the learner that they are performing better than others. While this type feedback supports motor skill learning in some tasks, the effect of social comparative feedback on implicit motor sequence learning remains unknown. The aim of this study was to determine the effect of positive social comparative feedback on the learning of and expectancies for a motor sequence task.

Methods

Forty-eight individuals practiced a joystick-based sequence task and were divided into three feedback groups: CONTROL (no performance feedback), RT ONLY (response time only feedback), and RT+POS (response time plus positive social comparison). Participants attended sessions on two consecutive days: Day 1 for repetitive motor practice/skill acquisition and Day 2 for retention testing. Performance related expectancies, like perceived competence, were measured before and after motor practice on Day 1 and at retention on Day 2.

Results

While all groups improved with practice, the CONTROL group showed better overall performance/learning (faster response times) compared with the RT ONLY group. Despite similar response times, the RT+POS showed higher peak velocities than the RT ONLY group. Overall, the RT+POS and CONTROL demonstrated increases in perceived competence while the RT ONLY group did not.

Discussion

The results of this study suggest that feedback content is an important consideration during motor practice sessions since feedback without context (RT ONLY) may be detrimental to motor sequence learning. The results also suggest that, if providing performance related feedback during practice of a skill that relies on implicit sequence learning processes, comparative context may be necessary for enhancing expectancies and supporting.
Measuring teacher self-efficacy: Validating a new comprehensive scale among Chinese pre-service teachers
Authors: Ma Kang , Luo Jiutong , Cavanagh Michael , Dong Jingjing , Sun Meng
Published: January 2023

Challenges exist in the validating procedure and comprehensiveness of the existing TSE measurements, though advancements have been achieved. Also, less consistencies have been received regarding teacher self-efficacy measurement in Chinese context so that the study developed and validated a new comprehensive scale for this construct. A total of 854 Chinese pre-service teachers responded to 40 purposely selected teacher self-efficacy items, together with the Generalized Self-Efficacy Scale, the agreeableness subscale of the Big Five Inventory, and items on their effectiveness of teaching practicing and intention to be a teacher. Exploratory factor analyses revealed two distinct factors, one factor (Ethos) focused on the general school climate, harmony, and cooperation, as well as teachers’ own professional development, the other (Teaching) focused on aspects of classrooms and student learning. Confirmatory and second-order factor analysis supported the existence of two factors and also indicated one overarching construct of teacher self-efficacy. Both domains were significantly correlated with general self-efficacy and agreeableness, with either moderate or low correlations. Significant differences in teacher self-efficacy for Ethos and Teaching were found between pre-service teachers who reported higher levels of effectiveness during their professional placement and greater intention to be teachers compared to those with lower self-ratings. In addition, a 20-item short version of the scale was developed, and the same factorial structure was confirmed. This study validated the two-factor structure of a newly developed teacher self-efficacy scale that covers domains both within and outside classroom teaching. Limitations and implications are discussed.
Quality of life in multiple scenarios: The impact of work mode and social contact quantity
Authors: Leng Cheng-Han , Tsai Chi-Shiun , Chan Ta-Chien , Lee Hsuan-Wei
Published: January 2023

Introduction

During the COVID-19 pandemic, many employees were encouraged to temporarily work from home as an attempt to decrease social contact with others. However, the employees' quality of life (QoL) may have been threatened by this mode of working. This study, therefore, aims to explore the employees' QoL given the new mode of working from home (WFH) as a result of the pandemic vs. working in the office (WIO), the amount of social contact that they were exposed to, and the ratio of face-to-face contact that they had.

Methods

A total of 803 WFH employees and 588 WIO employees' QoL was assessed during the same time period using the WHOQOL-BREF, which contains four domains: physical health, psychological health, social relationship, and the environment. We then divided the participants into 16 groups in accordance with the levels of work mode, social contact quantity, and face-to-face contact ratio–forming a case-control study. A differential item functioning (DIF) analysis was used to analyze the responses on the WHOQOL-BREF under the 4-dimensional rating scale model fitting.

Results

The results indicated that WFH employees' QoL was superior to that of WIO employees. The relationship between the WFH mode and the employees' QoL was specifically moderated by the amount of social contact and the ratio of face-to-face contact that was experienced. The results further demonstrated that the increased amount of non-face-to-face contact was better for WFH employees' QoL than that of WIO employees.

Discussion

In conclusion, the WFH mode was practical during the COVID-19 pandemic, as our findings indicated that WFH employees' QoL was better than WIO employees' QoL. However, maintaining social connections is equally important as this allows employees to perform better at their jobs and maintain such performance. The employees with a higher number of social support had a better QoL. Additionally, the facets detected as DIF items provided implications for the QoL with regard to the research methodology and insight into factors affecting the employees' QoL.
The prognostic value of the Barthel Index for mortality in patients with COVID-19: A cross-sectional study
Authors: Wang Erchuan , Liu Ao , Wang Zixuan , Shang Xiaoli , Zhang Lingling , Jin Yan , Ma Yanling , Zhang Lei , Bai Tao , Song Jun , Hou Xiaohua
Published: January 2023

Objective

This study aimed to analyze the association between the activity of daily living (ADL), coronavirus disease (COVID-19), and the value of the Barthel Index in predicting the prognosis of patients.

Methods

This study included 398 patients with COVID-19, whose ADL at admission to hospital were assessed with the Barthel Index. The relationship between the index and the mortality risk of the patients was analyzed. Several regression models and a decision tree were established to evaluate the prognostic value of the index in COVID-19 patients.

Results

The Barthel Index scores of deceased patients were significantly lower than that of discharged patients (median: 65 vs. 90, P < 0.001), and its decrease indicated an increased risk of mortality in patients (P < 0.001). After adjusting models for age, gender, temperature, pulse, respiratory rate, mean arterial pressure, oxygen saturation, etc., the Barthel Index could still independently predict prognosis (OR = 0.809; 95% CI: 0.750–0.872). The decision tree showed that patients with a Barthel Index of below 70 had a higher mortality rate (33.3–40.0%), while those above 90 were usually discharged (mortality: 2.7–7.2%).

Conclusion

The Barthel Index is of prognostic value for mortality in COVID-19 patients. According to their Barthel Index, COVID-19 patients can be divided into emergency, observation, and normal groups (0–70; 70–90; 90–100), with different treatment strategies.
Associations between parent-child relationship, self-esteem, and resilience with life satisfaction and mental wellbeing of adolescents
Authors: Trong Dam Vu Anh , Do Ha Ngoc , Thi Vu Thao Bich , Vu Khanh Long , Do Hoang Minh , Thi Nguyen Nga Thu , Nguyen Tham Thi , Thi Vu Thuc Minh , Thi Nguyen Thao Phuong , Auquier Pascal , Boyer Laurent , Fond Guillaume , Latkin Carl A. , Ho Cyrus S. H. , Ho Roger C. M.
Published: January 2023

Purpose

Mental wellbeing and life satisfaction play an important role in the development of adolescents, yet factors potentially influencing these states have not been sufficiently studied, especially in Vietnam. This study aims to fill the research gaps by exploring the associations of the parent-child relationship, self-esteem, and resilience on the mental wellbeing and satisfaction with life of adolescents.

Methods

A cross-sectional study was conducted from June to July 2020 on 1,023 adolescents from 10 to 18 years old living in Vietnam. To assess the satisfaction with life as well as the mental wellbeing of participants, this study used the Satisfaction with life and The World Health Organization-Five Wellbeing Index scale.

Results

More than 70% of participants reported having conflicts with their parents (74.6% of those conflicted with their father ad 73.9% of those conflicted with their mother), while 26.3% stated dissatisfaction with life. The mean score of mental wellbeing was 61.5 (SD = 23.0). Higher academic performance, self-esteem, resilience, encounter loneliness and isolation within own family, and having support and sharing from family members had a positive effect on life satisfaction and mental wellbeing. Female participants had higher satisfaction with life score (Coef = 0.77; 95%CI = 0.10; 1.44) but they had a lower mental wellbeing score (Coef = −6.00; 95%CI = −8.57; −3.44) than male participants. High school students had lower both satisfaction with life and mental wellbeing scores than secondary students.

Conclusion

The results highlight the importance of being aware of the influence that expectations (of higher grades) and bias (toward male children) imposed by parents, teachers, and society on the mental wellbeing of youths, especially in Asian cultures. Strengthening the family bond and encouraging young people to share their feeling is also crucial to enhancing the mental health condition of adolescents.
A bidirectional association between smartphone addiction and depression among college students: A cross-lagged panel model
Authors: Zhang Kexin , Guo Haiyun , Wang Tianli , Zhang Jianghui , Yuan Guojing , Ren Juan , Zhang Xueqing , Yang Huayu , Lu Xiaoyan , Zhu Zhihui , Du Jun , Shi Haiyan , Jin Guifang , Hao Jiahu , Sun Ying , Su Puyu , Zhang Zhihua
Published: January 2023

Background

Smartphone addiction (SA) is associated with adverse consequences, especially for freshmen. Evidence indicates that SA is associated with depression, and it is necessary to conduct a longitudinal study to explore the association further.

Methods

SA (measured by the Smartphone Addiction Scale-Short Version) and depression (measured by the Zung's Self-Rating Depression Scale) among 1,186 freshmen were surveyed at baseline and a respective 12-month follow-up for each participant. The application of a cross-lagged panel model approach (CLPM) revealed an association between SA and depression after adjusting for demographic variables.

Results

The CLPM results showed a significant path from baseline SA to follow-up depression (β = 0.08, P < 0.001) and a significant path from baseline depression to follow-up SA (β = 0.08, P < 0.001). Compared with the overall cross-lagged model, the cross-lagged coefficient of the path from baseline SA to follow-up depression increased in the female group (β = 0.10, P = 0.015), and the cross-lagged coefficient of the path from baseline depression to follow-up SA also increased significantly (β = 0.15, P < 0.001). In contrast, the cross-lagged model in the male group showed no predictive effect between SA and depression (P > 0.05).

Conclusions

The current study showed a significant bidirectional association between smartphone addiction and depression among freshmen, but only in the female population.
An eye-tracking study on visual perception of vegetation permeability in virtual reality forest exposure
Authors: Li Chang , Du Chunlan , Ge Shutong , Tong Tong
Published: January 2023

Previous studies have confirmed the significant effects of single forest stand attributes, such as forest type (FT), understory vegetation cover (UVC), and understory vegetation height (UVH) on visitors' visual perception. However, rarely study has yet clearly determined the relationship between vegetation permeability and visual perception, while the former is formed by the interaction of multiple forest stand attributes (i.e., FT, UVC, UVH). Based on a mixed factor matrix of FT (i.e., coniferous forests and broadleaf), UVC level (i.e., 10, 60, and 100%), and UVH level (0.1, 1, and 3 m), the study creates 18 immersive virtual forest videos with different stand attributes. Virtual reality eye-tracking technology and questionnaires are used to collect visual perception data from viewing virtual forest videos. The study finds that vegetation permeability which is formed by the interaction effect of canopy density (i.e., FT) and understory density (i.e., UVC, UVH), significantly affects participant's visual perception: in terms of visual physiology characteristics, pupil size is significantly negatively correlated with vegetation permeability when participants are viewing virtual reality forest; in terms of visual psychological characteristics, the understory density formed by the interaction of UVC and UVH has a significant impact on visual attractiveness and perceived safety and the impact in which understory density is significantly negatively correlated with perceived safety. Apart from these, the study finds a significant negative correlation between average pupil diameter and perceived safety when participants are viewing virtual reality forests. The findings may be beneficial for the maintenance and management of forest parks, as well as provide insights into similar studies to explore urban public green spaces.
Compensatory beliefs in the internet gratification behavior: A study of game-based assessment
Authors: Yin Bin , Shen Yong
Published: January 2023

Internet gratification behaviors (IGB) may lead to sub-optimal performance in schools and workplace as well as mental health problems such as Internet addiction. The present research examines this phenomenon, focusing on the compensatory belief (CB)—a belief that the negative impact of a certain behavior can be compensated or neutralized by another positive behavior—as a potential psychological mechanism for IGB. An interactive-narrative-style game-based assessment was designed and responses from a random-sampled population of 1,298 participants including college students and organizational employees were collected online. It was found that around 40% of college students and organizational employees would activate some kind of compensatory beliefs when facing with the internet temptation. Those who failed to perform compensatory behaviors afterwards were more likely to regret than those who were able to perform them, which was consistent with the prediction of the CB theory. This study expands the applicability of the CB theory to the field of internet addiction, enriches the understanding of the psychological mechanisms of internet addiction, and suggests that the interactive-narrative-style game-based assessment may be a practical method to study the CB.
Extrusion parameters and physical transformations of an extrudate for fish: Effect of the addition of hydrolyzed protein flour from by-products of Oncorhynchus mykiss
Authors: Hoyos-Concha José Luis , Villada-Castillo Héctor Samuel , Roa-Acosta Diego Fernando , Fernández-Quintero Alejandro , Ortega-Toro Rodrigo
Published: January 2023

Introduction

The food industries play a fundamental role in feeding for the functions of animal metabolism. Fish feed extrusion cooking includes process-independent factors such as temperature (°C), screw speed (RPM), throughput, feed, and moisture content that influence the final product's nutritional value and physical properties. The evidence suggests that the application of hydrolyzed protein flour (HPH) is a crucial step for the techno-functional properties of the product. Therefore, this work aimed to study the effect of hydrolyzed protein meal from silage of trout (Oncorhynchus mykiss) on the parameters of the extrusion system and their physical transformations.

Methods

In this study, the influence of hydrolyzed protein meals ranges between 10 and 30% as a substitute for fish meals. The physical properties of the extrudate were monitored, evaluating the hardness, durability, buoyancy, expansion index, and apparent density.

Results

Consistent with this, parameters such as feed composition, screw speed, moisture content, and extrusion process affected the composition and properties of the final product.

Discussion

The physical properties indicated that the hydrolyzed protein flour presented cohesiveness and decreased the mean retention time in the extruder barrel and the specific mechanical energy (SME). Hydrolyzed protein flour during the extrusion process produces pellets with high durability and low hardness due to the high porosity presented, which allows for obtaining nutritional characteristics in the extruded product.
Clinical characteristics, surgical management, and prognostic factors for supratentorial hemangioblastoma: A retrospective study
Authors: Chen Long , Xiong Zujian , Zhou Yian , Li Yanwen , Xie Yuanyang , Xiong Yi , Wanggou Siyi , Li Xuejun
Published: January 2023

Background

Supratentorial hemangioblastoma is an extremely rare neoplasm. The aim of this study is to delineate the clinical features among cystic and solid supratentorial hemangioblastoma patients and evaluate the risk factors for progression-free survival (PFS).

Methods

We conducted a literature search in PubMed for histopathologically identified supratentorial hemangioblastoma between 1947 and 2021 and extracted and collected the clinical features of patients treated at our own institute. The rate of PFS was determined using Kaplan–Meier analysis. Differences in categorical factors, such as the location of tumor and diagnosis of von Hippel–Lindau disease, were analyzed using the Pearson χ2 test. A Cox regression analysis was performed to evaluate the association between various variates and survival outcomes.

Results

A total of 237 cases of supratentorial hemangioblastoma were identified from 169 studies. A survival analysis found that patients with cystic tumors had a significantly better prognosis than those with solid tumors (log-rank, p = 0.0122). Cox regression analysis suggested that cystic hemangioblastoma (hazard ratio (HR): 0.186, 95% CI: 0.043–0.803, p < 0.05) and gross total resection (GTR) (HR: 0.126, 95% CI: 0.049–0.323, p < 0.001) were significant predictors of longer survival (PFS) for supratentorial hemangioblastoma. Following an analysis of 13 supratentorial hemangioblastoma cases from our institute, we validated that cystic tumor had improved prognosis than solid tumor (log-rank, p = 0.0096) and GTR was superior to subtotal resection (log-rank, p = 0.0029).

Conclusions

Cystic hemangioblastoma vs. solid hemangioblastoma may be two tumoral statuses with different clinical features, and a specific treatment strategy should be considered.
Mini-ALPPS-based multidisciplinary treatment leading to long-term survival in a patient with a large HCC: A case report
Authors: Liu Gao-Min , Zhang Yao-Min
Published: January 2023

Background

The future liver remnant (FLR) induced by stage I associated liver partition and portal vein ligation for staged hepatectomy (ALPPS) in hepatocellular carcinoma (HCC) might be limited due to liver fibrosis/cirrhosis or incomplete liver parenchymal transection.

Case presentation

A 51-year-old male with hepatitis B liver fibrosis was diagnosed with a large HCC (13.5 cm × 12.5 cm × 13.8 cm). The FLR of the patient was insufficient to permit one-stage tumor resection. Therefore, the two-stage ALPPS surgery was planned. Stage I ALPPS was performed with incomplete liver parenchymal transection due to bleeding (which is why we called it Mini-ALPPS). On postoperative day (POD) 18, CT revealed that the FLR hypertrophy was poor. The FLR/standard liver volume (SLV) had only increased from 22.00% to 34.63%. Salvage transhepatic arterial chemoembolization (TACE) was performed on POD 22 days to control possible tumor progression during the waiting period and to further facilitate FLR growth. About 16 days later, a CT reassessment of FLR revealed a 42.5% FLR/SLV. A right hepatectomy was then uneventfully performed. Although HCC recurred after 586 days, the patient survived for more than 1,920 days after stage II ALPPS.

Discussion

Damage control during a difficult conventional stage I ALPPS was important. TACE during the interstage and postoperative periods of this Mini-ALPPS was safe and beneficial. A multidisciplinary based on Mini-ALPPS treatment could provide patients long-term survival; however, Mini-ALPPS should not be selected as the primary solution for such patients today, as some other minimally invasive and effective strategies are available.
Creating Reproductive Health Behavioral Profiles for Women of Reproductive Age in Niger Using Cross-Sectional Survey Data: A Latent Class Analysis
Authors: Dougherty Leanne , Bellows Nicole , Dadi Chaibou
Published: January 2023

Objectives: To identify health behavioral profiles for women of reproductive age in Niger.

Methods: We interviewed married women of reproductive age in Niger in April 2021 (N = 2,709). Latent class analysis based on sociodemographic and behavioral determinants was used to identify classes of women related to use of antenatal care, facility delivery, and modern family planning (FP) use.

Results: We found similar classes between the use of antenatal care and facility-based delivery classes with the first class composed of less educated and poor women with weaker behavioral determinants while the second class was more educated and had stronger behavioral determinants. In the facility-based delivery class was the presence of a third class that was poor and uneducated with low levels of knowledge and social norms, but in contrast had much higher levels of positive attitudes, self-efficacy, and partner communication than the first class. A fourth class of younger, more educated women with strong behavioral determinants emerged related to FP.

Conclusion: The application of empirical subgrouping analysis permits an informed approach to targeted interventions and resource allocation for optimizing maternal and reproductive health.
Identification of QTL Associated with Agro-Morphological and Phosphorus Content Traits in Finger Millet under Differential Phosphorus Supply via Linkage Mapping
Authors: Maharajan Theivanayagam , Ajeesh Krishna Thumadath Palayullaparambil , Rakkammal Kasinathan , Ramakrishnan Muthusamy , Ceasar Stanislaus Antony , Ramesh Manikandan , Ignacimuthu Savarimuthu
Published: January 2023

Finger millet (Eleusine coracana (L.) Gaertn.) is one of the most important cereal crops for people in Asia and Africa. It supplies energy and nutrients for all people, particularly poor people in these continents. Phosphorus (P) is an essential macronutrient for plant growth and grain quality, so an adequate amount of P is required for healthy plant life. There is considerable evidence that P deficiency affects the growths and yields of all cereals, including finger millet. The present study aimed at identifying the quantitative trait loci (QTL) for various agro-morphological and P-content traits under low P (LP) and high P (HP) conditions through linkage mapping. Two cultivars, IE-2606 (low-P-susceptible) and PR-202 (low-P-tolerant) were used to develop 100 recombinant inbred lines (RILs). In total, 55 QTL, associated with various agro-morphological (primary root length (PRL), shoot fresh weight (SFW), root fresh weight (RFW), shoot dry weight (SDW), root dry weight (RDW), and root hair density (RHD)) and P-content traits (inorganic phosphate content in shoots (PiS), inorganic phosphate content in roots (PiR), and total P content in shoots (TPS)) were detected under LP conditions. Similarly, 37 QTL for various agro-morphological (PRL, RFW, SDW, and root hair length (RHL)) and P-content traits (PiS, PiR, TPS, and total P content in roots (TPR)) were detected under HP conditions. Biotic and abiotic stress-responsive candidate genes linked to a few QTL were also identified. The identified QTL associated with agro-morphological and P-content traits in finger millet under P deficiency could be used in breeding programs to develop finger millet with better P use efficiency (PUE). Furthermore, improving finger millet growth and yield under LP soil will help to reduce Pi application and eutrophication, which may help to improve the lives of poor farmers and maintain sustainable environments in Asia and African countries.
Influence of Transgenic (Bt) Cotton on the Productivity of Various Cotton-Based Cropping Systems in Pakistan
Authors: Marral Muhammad Waseem Riaz , Ahmad Fiaz , Ul-Allah Sami , Atique-ur-Rehman  , Farooq Shahid , Hussain Mubshar
Published: January 2023

Cotton (Gossypium hirsutum L.) is an important fiber crop in Pakistan with significant economic importance. Transgenic, insect-resistant cotton (carrying a gene from Bacillus thuringiensis (Bt)) was inducted in the cotton-based cropping systems of Pakistan during 2002, and is now sown in >90% of cotton fields in the country. However, concerns are rising that Bt cotton would decrease the productivity of winter crops (sown after cotton), leading to decreased system productivity. This two-year field study determined the impacts of transgenic (Bt) and non-transgenic (non-Bt) cotton genotypes on the productivities of winter crops (i.e., wheat, Egyptian clover, and canola), and the overall productivities of the cropping systems including these crops. Four cotton genotypes (two Bt and two non-Bt) and three winter crops (i.e., wheat, Egyptian clover, and canola) were included in the study. Nutrient availability was assessed after the harvest of cotton and winter crops. Similarly, the yield-related traits of cotton and winter crops were recorded at their harvest. The productivities of the winter crops were converted to net economic returns, and the overall economic returns of the cropping systems with winter crops were computed. The results revealed that Bt and non-Bt cotton genotypes significantly (p < 0.05) altered nutrient availability (N, P, K, B, Zn, and Fe). However, the yield-related attributes of winter crops were not affected by cotton genotypes, whereas the overall profitability of the cropping systems varied among the cotton genotypes. Economic analyses indicated that the Bt cotton–wheat cropping system was the most profitable, with a benefit–cost ratio of 1.55 in the semi-arid region of Pakistan. It is concluded that Bt cotton could be successfully inducted into the existing cropping systems of Pakistan without any decrease to the overall productivity of the cropping system.
A Cascaded Individual Cow Identification Method Based on DeepOtsu and EfficientNet
Authors: Zhang Ruihong , Ji Jiangtao , Zhao Kaixuan , Wang Jinjin , Zhang Meng , Wang Meijia
Published: January 2023

Precision dairy farming technology is widely used to improve the management efficiency and reduce cost in large-scale dairy farms. Machine vision systems are non-contact technologies to obtain individual and behavioral information from animals. However, the accuracy of image-based individual identification of dairy cows is still inadequate, which limits the application of machine vision technologies in large-scale dairy farms. There are three key problems in dairy cattle identification based on images and biometrics: (1) the biometrics of different dairy cattle may be similar; (2) the complex shooting environment leads to the instability of image quality; and (3) for the end-to-end identification method, the identity of each cow corresponds to a pattern, and the increase in the number of cows will lead to a rapid increase in the number of outputs and parameters of the identification model. To solve the above problems, this paper proposes a cascaded dairy individual cow identification method based on DeepOtsu and EfficientNet, which can realize a breakthrough in dairy cow group identification accuracy and speed by binarization and cascaded classification of dairy cow body pattern images. The specific implementation steps of the proposed method are as follows. First, the YOLOX model was used to locate the trunk of the cow in the side-looking walking image to obtain the body pattern image, and then, the DeepOtsu model was used to binarize the body pattern image. After that, primary classification was carried out according to the proportion of black pixels in the binary image; then, for each subcategory obtained by the primary classification, the EfficientNet-B1 model was used for secondary classification to achieve accurate and rapid identification of dairy cows. A total of 11,800 side-looking walking images of 118 cows were used to construct the dataset; and the training set, validation set, and test set were constructed at a ratio of 5:3:2. The test results showed that the binarization segmentation accuracy of the body pattern image is 0.932, and the overall identification accuracy of the individual cow identification method is 0.985. The total processing time of a single image is 0.433 s. The proposed method outperforms the end-to-end dairy individual cow identification method in terms of efficiency and training speed. This study provides a new method for the identification of individual dairy cattle in large-scale dairy farms.