bluuebunny/crossref_metadata_2025 huggingface dataset:
Stomal variceal haemorrhage in ileal conduit diversion: a rare case report and literature review
Authors: Xu Mingjie , Lin Yiwei , Shen Bohua , Chen Geming
Published: October 2024

Background

Radical cystectomy is typically recommended for managing bladder cancer, with ileal conduit diversion being a prevalent form of urinary diversion. Stomal variceal haemorrhage is a rare complication of ileal bladder diversion and poses diagnostic and therapeutic challenges that can escalate to life-threatening circumstances. Hepatic cirrhosis and cancer liver metastasis-induced portal hypertension are considered the main causes of stomal varices. However, the real-world expertise in the pathophysiology of, diagnostic approach to, and overall management strategy for stomal variceal haemorrhage in ileal conduit diversion is limited.

Case presentation

Herein, we present a rare case of a 77-year-old man with bladder cancer who developed stomal variceal haemorrhage after undergoing radical cystectomy and ileal conduit urinary diversion. Imaging revealed that the peristomal varices communicated with the subcutaneous veins of the abdominal wall without apparent portal hypertension. Transhepatic coil embolization of bleeding stomal varices was successfully performed via a transhepatic antegrade approach. No complications or stomal variceal haemorrhage occurred during a 6-month follow-up period.

Conclusion

Transhepatic coil embolization may be considered an initial therapeutic option for patients who experience stomal variceal haemorrhage. Comprehensive management of underlying liver disease and portal hypertension is needed at follow-up visits. We describe successful experience with the precise treatment of this rare and atypical disease, conduct a thorough review of the pertinent literature, and deliberate on optimized diagnostic and therapeutic procedures.
Phytochemicals from Cactaceae family for cancer prevention and therapy
Authors: Orozco-Barocio Arturo , Sánchez-Sánchez Marina A. , Rojas-Mayorquín Argelia E. , Godínez-Rubí Marisol , Reyes-Mata María Paulina , Ortuño-Sahagún Daniel
Published: October 2024

Cancer is a global health issue, increasingly prevalent and a leading cause of mortality. Despite extensive research, conventional treatments remain aggressive, often damaging healthy cells, and exhibit limited efficacy. Addressing drug resistance and enhancing treatment effectiveness are critical challenges in advancing cancer therapy. This review examines the potential of natural plant compounds, particularly phytochemicals and their derivatives, in developing novel anticancer agents. These metabolites have a long history in traditional medicine, with 42% of molecules approved for cancer treatment between 1981 and 2019 being either natural products or derivatives. The Cactaceae family, which comprises more than 1,500 species, represents a largely untapped source of potentially useful chemopreventive and anticancer agents. Although more than 3,000 plants and their derivatives have contributed to chemotherapeutic development, cactus species have received limited attention until recently. Emerging evidence highlights the anticancer potential of fruits, stems, and cladodes from various cactus species. This review provides a comprehensive and current overview of experimental studies on Cactaceae in cancer research, aiming to pave the way for the development of innovative, natural cancer therapeutics and contribute to the ongoing battle against this formidable disease.
Long non-coding RNAs: regulators of autophagy and potential biomarkers in therapy resistance and urological cancers
Authors: Wang Shizong , Bai Yang , Ma Jie , Qiao Liang , Zhang Mingqing
Published: October 2024

The non-coding RNAs (ncRNAs) comprise a large part of human genome that mainly do not code for proteins. Although ncRNAs were first believed to be non-functional, the more investigations highlighted tthe possibility of ncRNAs in controlling vital biological processes. The length of long non-coding RNAs (lncRNAs) exceeds 200 nucleotidesand can be present in nucleus and cytoplasm. LncRNAs do not translate to proteins and they have been implicated in the regulation of tumorigenesis. On the other hand, One way cells die is by a process called autophagy, which breaks down proteins and other components in the cytoplasm., while the aberrant activation of autophagy allegedly involved in the pathogenesis of diseases. The autophagy exerts anti-cancer activity in pre-cancerous lesions, while it has oncogenic function in advanced stages of cancers. The current overview focuses on the connection between lncRNAs and autophagy in urological cancers is discussed. Notably, one possible role for lncRNAs is as diagnostic and prognostic variablesin urological cancers. The proliferation, metastasis, apoptosis and therapy response in prostate, bladder and renal cancers are regulated by lncRNAs. The changes in autophagy levels can also influence the apoptosis, proliferation and therapy response in urological tumors. Since lncRNAs have modulatory functions, they can affect autophagy mechanism to determine progression of urological cancers.
Intelligent agriculture: deep learning in UAV-based remote sensing imagery for crop diseases and pests detection
Authors: Zhu Hongyan , Lin Chengzhi , Liu Gengqi , Wang Dani , Qin Shuai , Li Anjie , Xu Jun-Li , He Yong
Published: October 2024

Controlling crop diseases and pests is essential for intelligent agriculture (IA) due to the significant reduction in crop yield and quality caused by these problems. In recent years, the remote sensing (RS) areas has been prevailed over by unmanned aerial vehicle (UAV)-based applications. Herein, by using methods such as keyword co-contribution analysis and author co-occurrence analysis in bibliometrics, we found out the hot-spots of this field. UAV platforms equipped with various types of cameras and other advanced sensors, combined with artificial intelligence (AI) algorithms, especially for deep learning (DL) were reviewed. Acknowledging the critical role of comprehending crop diseases and pests, along with their defining traits, we provided a concise overview as indispensable foundational knowledge. Additionally, some widely used traditional machine learning (ML) algorithms were presented and the performance results were tabulated to form a comparison. Furthermore, we summarized crop diseases and pests monitoring techniques using DL and introduced the application for prediction and classification. Take it a step further, the newest and the most concerned applications of large language model (LLM) and large vision model (LVM) in agriculture were also mentioned herein. At the end of this review, we comprehensively discussed some deficiencies in the existing research and some challenges to be solved, as well as some practical solutions and suggestions in the near future.
The offense characteristics of maternal filicides in eSwatini: adding to Resnick’s classification model
Authors: Shabangu Sifiso , Moen Melanie
Published: October 2024

Introduction

Maternal filicide, the murder of a child by a mother, is a complex phenomenon. Relatively little is known of filicide on the African continent, especially in eSwatini. This study highlights the complex dynamics at play when these crimes are committed.

Methods

This retrospective study explored offense characteristics of maternal filicide cases in eSwatini from 2005 to January 2024. Thirty-one cases were identified through court documents and news reports. Content analysis was conducted on these cases.

Results

The study revealed that socio-cultural factors such as the role of a woman in society and traditional beliefs contributed to these crimes. Poverty and contextual challenges also contributed to the systemic reasons for these murders. Relationship challenges featured prominently. A unique finding in this study was the use of poison by biological mothers in all the filicide-suicide attempts.

Discussion

We argue for the inclusion of an additional socio-cultural category to Resnick’s classification model. Ultimately, there is a need for further exploration of filicide in eSwatini and other contexts. This would aid in identifying risk factors in pregnant mothers, in young mothers, among couples, and within socio-cultural practices.
Healthcare and telehealth use among U.S. immigrants during the COVID-19 pandemic
Authors: Spencer Merianne Rose T. , Yoon Sunjung , Lee Youngeun , Bustamante Arturo Vargas , Chen Jie
Published: October 2024

Introduction

Recent studies have documented the negative impact of the COVID-19 pandemic on low-income families, rural and underserved areas, and racial and ethnic minority populations. However, less is known about immigrants’ healthcare access and utilization, including telehealth use. This study investigated disparities in healthcare access and utilization by immigration status among adults aged 18–64 years during the COVID-19 pandemic.

Methods

This cross-sectional study pooled data from the 2020 and 2021 National Health Interview Survey (NHIS). Multivariable logistic regression models were used to estimate the variation of healthcare access and utilization by citizenship and nativity status. Immigration status (U.S.-born citizen, naturalized U.S. citizen, and non-citizen) served as the key independent variable. Healthcare access measures were dichotomized indicators of whether individuals had delayed medical care either due to cost or due to COVID-19. Healthcare utilization measures included whether individuals visited a doctor, used the emergency room, or had a telehealth visit during COVID-19.

Results

Compared to U.S.-born citizens, non-citizen immigrants were more likely to delay medical care due to cost (adjusted OR = 1.375, [95%CI: 1.137, 1.662]), less likely to visit a doctor (adjusted OR = 0.71, [95%CI: 0.617, 0.817]), or visit an emergency room (adjusted OR = 0.756, [95%CI: 0.635, 0.901]). Non-citizen immigrants were less likely to have a telehealth visit (either video or phone visits) during COVID-19 (adjusted OR = 0.634, [95%CI: 0.557, 0.723]).

Discussion

Compared to U.S.-born citizens, lower healthcare and telehealth utilization persisted among non-citizen immigrants during the pandemic.
Effect of emergency medical service response time on fatality risk of freeway crashes: Bayesian random parameters spatial logistic approach
Authors: Huang Peng , Ouyang Sheng , Yan Han , Wang Xiaofei , Lee Jaeyoung Jay , Zeng Qiang
Published: October 2024

Introduction

Emergency medical service (EMS) serves as a pivotal role in linking injured road users to hospitals via offering first aid measures and transportation. This paper aims to investigate the effect of emergency medical service (EMS) response time on the fatality risk of freeway crashes.

Methods

Crash injury severity data from Kaiyang Freeway, China in 2014 and 2015 are employed for the empirical investigation. A Bayesian random parameters spatial logistic model is developed for analyzing crash severity.

Results

Bayesian inference of the random parameters spatial logistic model demonstrates the importance of reducing EMS response time on minimizing the fatality risk of freeway crashes. Fatality odds would increase by 2.6% for 1 min increase in EMS response time. Additionally, vehicle type, crash type, time of day, horizontal curvature, vertical grade, and precipitation are also found to have significant effects on the fatality probability of freeway crashes.

Conclusion

It is crucial to reduce EMS response time to decrease the fatality likelihood of freeway crashes. Some countermeasures have been proposed to shorten EMS response time.
Stakeholder-centric explanations for black-box decisions: an XAI process model and its application to automotive goodwill assessments
Authors: Haas Stefan , Hegestweiler Konstantin , Rapp Michael , Muschalik Maximilian , Hüllermeier Eyke
Published: October 2024

Machine learning has made tremendous progress in predictive performance in recent years. Despite these advances, employing machine learning models in high-stake domains remains challenging due to the opaqueness of many high-performance models. If their behavior cannot be analyzed, this likely decreases the trust in such models and hinders the acceptance of human decision-makers. Motivated by these challenges, we propose a process model for developing and evaluating explainable decision support systems that are tailored to the needs of different stakeholders. To demonstrate its usefulness, we apply the process model to a real-world application in an enterprise context. The goal is to increase the acceptance of an existing black-box model developed at a car manufacturer for supporting manual goodwill assessments. Following the proposed process, we conduct two quantitative surveys targeted at the application's stakeholders. Our study reveals that textual explanations based on local feature importance best fit the needs of the stakeholders in the considered use case. Specifically, our results show that all stakeholders, including business specialists, goodwill assessors, and technical IT experts, agree that such explanations significantly increase their trust in the decision support system. Furthermore, our technical evaluation confirms the faithfulness and stability of the selected explanation method. These practical findings demonstrate the potential of our process model to facilitate the successful deployment of machine learning models in enterprise settings. The results emphasize the importance of developing explanations that are tailored to the specific needs and expectations of diverse stakeholders.
Refining the implementation research logic model: a citation analysis, user survey, and scoping review protocol
Authors: Merle James L. , Sloss Elizabeth A. , Sanuade Olutobi A. , Lengnick-Hall Rebecca , Meza Rosemary , Golden Caitlin , Simmons Rebecca G. , Velazquez Alicia , Hill Jennie L. , Estabrooks Paul A. , McFarland Mary M. , Rafferty Miriam R. , Li Dennis H. , Smith Justin D.
Published: October 2024

Introduction

The Implementation Research Logic Model (IRLM) aids users in combining, organizing, and specifying the relationships between important constructs in implementation research. The goal of the IRLM is to improve the rigor, reproducibility, and transparency of implementation research projects. The article describing the IRLM was published September 25, 2020 (Implement Sci, Vol 15); it has since been highly cited and included as a required element in multiple funding opportunity announcements from federal agencies. The proliferation of IRLM use across dissemination and implementation research projects and practice provides an excellent opportunity to examine applications across a variety of different contexts. This protocol will result in a description of the impact of the IRLM on the field of dissemination and implementation science and guidance on refinements to the IRLM to increase its utility and impact through (1) a citation analysis, (2) a scoping review, and (3) user surveys and interviews.

Methods and analysis

This protocol follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping review reporting guidelines (PRISMA-ScR). We plan to conduct a citation search and analysis of the Smith et al. 2020 article and a scoping review. The review search will be conducted in Medline, Embase, CINAHL Complete, Cochrane Library, APA PsycINFO4, ProQuest Dissertations & Theses Global, Scopus and Web of Science Core Collection., and grey literature will be searched to identify studies that use alternative logic models for implementation research. A survey will be developed from the findings of the scoping review and administered to individuals who used the IRLM. Semi-structured interviews will then be conducted with a sample of survey respondents to provide an opportunity for sequential mixed-methods analysis to achieve a deeper understanding of needed IRLM refinements and recommendations.

Ethics and dissemination

Ethics approval for the scoping review and citation analysis is not applicable as only data from published literature will be used and no original data will be collected. For the survey, IRB will be completed once items are developed from the results of the scoping review and citation analysis. Results will be disseminated through peer-reviewed publications, conference presentations, and via online tools.

Registration details

This protocol was registered with OSF, https://osf.io/y94bj (1).
Evaluating policies and regulations used to control corruption among accounting officers in the public sector of South Africa: a systematic literature review
Authors: Vorster Hester , Nwosu Lilian
Published: October 2024

Corruption, a global phenomenon, affects countries worldwide, transcending geographic and political boundaries, and continues to escalate, partly due to the inefficiency of financial and legal institutions and lack of enforcement. This has significant implications for Africa, hindering democracy, development, and poverty alleviation efforts. Defined as the intentional misuse of official authority for personal benefit, corruption is often fueled by public sector financial managers or accounting officers embezzling funds. The increasing pressure on these officers to justify public fund usage, coupled with expectations for effective service delivery, may contribute to corrupt practices. This article presents a systematic literature review focused on evaluating policies and regulations to control corruption among accounting officers in South Africa’s public sector. The public sector in South Africa has recently seen a rise in corruption cases, with numerous incidents involving corrupt government officers, including accounting officers, gaining media attention. This situation prompted the need for the study, which systematically reviewed existing literature to identify gaps and weaknesses in current policies and regulations. The findings revealed non-compliance with anti- corruption policies and regulations, along with a lack of accountability among accounting officers. Additionally, the study observed that punishment measures for those implicated in misusing public funds are inconsistently implemented, highlighting a significant gap between policy and practice. These findings are critical for government policymakers, as they reveal areas needing improvement in anti-corruption policies and regulations. Issues identified include unqualified officers, poor delegation, embezzlement, and non-compliance. The study recommends that the government consistently apply strict measures against officials guilty of corruption, holding them accountable for their actions. It also advocates for the implementation of effective monitoring and evaluation systems to enforce anti-corruption policies and bridge the policy-practice gap. Emphasizing that good planning is as crucial as the implementation structures themselves, the study suggests that effective functioning requires both elements to work in tandem.
Development of patient-tailored preoperative assessment of percutaneous vertebroplasty
Authors: Lu Yian , Jiang Qunhua
Published: October 2024

Percutaneous vertebroplasty (PVP), a minimally invasive surgery technique, has become the common treatment for osteoporotic vertebral compression fractures (OVCF). The complications of PVP will lead to severe damage to spinal neuro systems due to bone cement leakage. A patient tailored preoperative assessment approach was developed to reduce the risks of complications in this study. The porcine OVCF model was fabricated to mimic the patient vertebral fracture in vitro using decalcification process. The 3D reconstructed model based on the imagological examination data acquired from the porcine vertebral bone was implemented for finite element (FE) simulation. The vertebral body with bone cement injected was scanned using CT for comparison with the finite element simulation results. This study showed a practical method for predicting the flow of bone cement in OVCF, which enabled the surgeons to evaluate the bone cement flow during preoperative assessment to reduce the cement leakage risks.
Streamlining management in thoracic trauma: radiomics- and AI-based assessment of patient risks
Authors: Hefny Ashraf F. , Almansoori Taleb M. , Smetanina Darya , Morozova Daria , Voitetskii Roman , Das Karuna M. , Kashapov Aidar , Mansour Nirmin A. , Fathi Mai A. , Khogali Mohammed , Ljubisavljevic Milos , Statsenko Yauhen
Published: October 2024

Background

In blunt chest trauma, patient management is challenging because clinical guidelines miss tools for risk assessment. No clinical scale reliably measures the severity of cases and the chance of complications.

Aim

The objective of the study was to optimize the management of patients with blunt chest trauma by creating models prognosticating the transfer to the intensive care unit and in-hospital length of stay (LOS).

Methods

The study cohort consisted of 212 cases. We retrieved information on the cases from the hospital’s trauma registry. After segmenting the lungs with Lung CT Analyzer, we performed volumetric feature extraction with data-characterization algorithms in PyRadiomics.

Results

To predict whether the patient will require intensive care, we used the three groups of findings: ambulance, admission, and radiomics data. When trained on the ambulance data, the models exhibited a borderline performance. The metrics improved after we retrained the models on a combination of ambulance, laboratory, radiologic, and physical examination data (81.5% vs. 94.4% Sn). Radiomics data were the top-accurate predictors (96.3% Sn). Age, vital signs, anthropometrics, and first aid time were the best-performing features collected by the ambulance service. Laboratory findings, AIS scores for the lower extremity, abdomen, head, and thorax constituted the top-rank predictors received on admission to the hospital. The original first-order kurtosis had the highest predictive value among radiomics data. Top-informative radiomics features were derived from the right hemithorax because the right lung is larger. We constructed regression models that can adequately reflect the in-hospital LOS. When trained on different groups of data, the machine-learning regression models showed similar performance (MAE/ROV≈8%). Anatomic scores for the body parts other than thorax and laboratory markers of hemorrhage had the highest predictive value. Hence, the number of injured body parts correlated with the case severity.

Conclusion

The study findings can be used to optimize the management of patients with a chest blunt injury as a specific case of monotrauma. The models we built may help physicians to stratify patients by risk of worsening and overcome the limitations of existing tools for risk assessment. High-quality AI models trained on radiomics data demonstrate superior performance.
Effect of caffeic acid grafted chitosan loaded quercetin lyophilized powder formulation on avian colibacillosis and tissue distribution
Authors: Ren Xin , Yuan Sikun , Ren Juan , Ma Leying , Liu Juxiang , Wang Gengnan
Published: October 2024

Quercetin (QR), recognized as a natural antibacterial ingredient, has found widespread application in the poultry industry. This study investigated the bacteriostatic mechanism and evaluated the in vivo inhibitory impact of caffeic acid-grafted chitosan self-assembled micelles loaded quercetin (CA-g-CS/QR) on avian Escherichia coli (E. coli). The findings indicate that the bactericidal mechanism of CA-g-CS/QR exhibits enhanced efficacy compared to QR alone, disrupting bacterial cell walls, disassembling biofilm structures, and impeding essential components necessary for bacterial growth. Following an avian E. coli attack in broilers, CA-g-CS/QR demonstrated the capacity to enhance the population of beneficial bacteria while concurrently decreasing harmful bacteria within the intestinal tract. Moreover, within 3 days of oral administration of CA-g-CS/QR, a significant decrease in Escherichia spp. count was evident, resulting in the restoration of broilers to a healthy state. CA-g-CS/QR proved to be a significant and more efficacious solution than QR alone for avian E. coli disease. Furthermore, CA-g-CS/QR displayed a broader distribution range and higher concentration within the body. Ten metabolites have been identified in the liver for both QR and CA-g-CS/QR. In conclusion, CA-g-CS/QR has demonstrated a notable capacity to enhance in vitro and in vivo bacterial inhibitory effects, providing foundation for the clinical application of QR in combating avian E. coli infections in broilers.
Experimental Calculation of Added Masses for the Accurate Construction of Airship Flight Models
Authors: López Deibi , Domínguez Diego , Delgado Adrián , García-Gutiérrez Adrián , Gonzalo Jesús
Published: October 2024

In recent years, interest in airships for cargo transport and stratospheric platforms has increased, necessitating accurate dynamic modeling for stability analysis, autopilot design, and mission planning, specifically through the calculation of stability derivatives, like added mass and inertia. Despite the several CFD methods and analytical solutions available to calculate added masses, experimental validation remains essential. This study introduces a novel methodology to measure these in a wind tunnel, comparing the results with prior studies that utilized towing tanks. The approach involves designing the test model and a crank-slider mechanism to generate motion within the wind tunnel, considering load cell sensitivity, precision, frequency range, and Reynolds numbers. A revolution ellipsoid model, made from extruded polystyrene, was used to validate analytical solutions. The test model, measuring 1 m in length with an aspect ratio of 6, weighing 482 g, was moved along rails by the crank-slider system. By increasing the motion frequency, structural vibrations affecting load cell measurements were minimized. Proper signal processing, including high-pass filtering and second-order Fourier series fitting, enabled successful virtual mass calculation, showing only a 2.1% deviation from theoretical values, significantly improving on previous studies with higher relative errors.
Measurement of Driving Conditions of Aircraft Ground Support Equipment at Tokyo International Airport
Authors: Kuroda Yuka , Sato Satoshi , Hanaoka Shinya
Published: October 2024

With the global increase in air transport demand, the shortage of ground handling personnel to support ground operations at airports has become a major challenge, impacting airport services and causing considerable flight delays. This study presents a novel method to generate trip data that specify the origin and destination locations as the purpose of travel for each ground support equipment (GSE) vehicle. The proposed method uses data obtained from comprehensive observations of 2234 GSE vehicles over a 24 h × 7 d time interval at Tokyo International Airport. From these observations and trip data, the characteristics of the driving conditions for each GSE vehicle type, the locations where GSE traffic volume increases in the airport, and changes in the time interval are identified. The primary results show that the GSE traffic volume is the highest mainly around passenger terminals and in the vehicle corridors connecting these terminals, which aligns with the airport’s operational status. Investigating GSE driving conditions, such as the traffic flow throughout an airport, can provide valuable data to improve the efficiency of GSE scheduling and facilitate the introduction of automated driving technology.
Study on Interstage Pressure Equalization of Differential Multi-Stage Finger Seal with Structural Design, Flow and Heat Transfer Characteristics
Authors: Wang Juan , Xu Wei , Liu Meihong , Zhu Shixing , Kang Yuchi , Song Xiaolei , Gu Dianhai , Hu Xuefeng
Published: October 2024

To effectively address the issue of premature failure caused by the unbalanced distribution of pressure drops between the stages of a traditional two-stage finger seal, this study proposes a method to improve the pressure drop balance by increasing the protection height of the second stage back plate. We established a new numerical calculation model for a two-stage finger seal, based on the porous media model. After verifying the precision of the model, we conducted a numerical analysis to examine the impact of the protection height of the second stage back plate on the flow and heat transfer characteristics of the two-stage finger seal. We then conducted a differentiated structural design for each stage of the two-stage finger seal. The research results are as follows: the pressure drop at the second stage of the traditional two-stage finger seal exceeds that of the first stage; when the protection height of the second stage back plate of the traditional two-stage finger seal is increased from 1.5 mm to 1.57 mm, forming a two-stage pressure equalizing finger seal structure, the pressure drop between the two stages is balanced, but the leakage is greater than that of the traditional two-stage finger seal; a grate seal structure was arranged between the first and second stages of the two-stage pressure equalizing finger seal to form a two-stage pressure equalizing finger seal with grate teeth, which exhibits significantly lower leakage compared to the two-stage pressure equalizing finger seal. However, the proportion of pressure drop at the first and second stages of the two-stage pressure equalizing finger seal is 36.8% and 42.1%, respectively, while the grate tooth stage accounts for 21.1%, resulting in an imbalanced pressure drop once again. Increasing the protection height of the second stage back plate in the two-stage pressure equalizing finger seal with grate teeth to 1.6 mm results in a 37.5% pressure drop at the first and second stages, and a 25% pressure drop at the grate tooth stage. The two-stage finger seal balances the pressure drop and matches the leakage of the traditional two-stage finger seal. The maximum temperatures of the first and second stages of the finger seal are 0.7% lower and 2.6% higher compared to the traditional two-stage finger seal. This suggests that a differential multi-stage finger seal is the optimal structure.
Numerical Simulation of the Flow Field Stabilization of a Pressure-Regulating Device
Authors: Chen Chao , Zhao Yanyan , Liu Junping , Zhao Yuxia , Hussain Zawar , Xie Rongjun
Published: October 2024

In sprinkler irrigation systems in hilly areas, pressure-regulating devices can improve the uneven pressure distribution on branch pipes and consequently improve the irrigation uniformity. A pressure-regulating device for sprinkler irrigation systems was developed; the variation characteristics of the internal pressure field and velocity field distribution over time, variation law of the elastic diaphragm of the pressure-regulating device with respect to the inlet pressure, and pressure-regulating and flow stabilizing mechanisms were assessed. The results show that the pressure regulation and flow stabilization of the pressure-regulating device were affected by the deformation of the elastic diaphragm. When the elastic diaphragm deforms, the main factors of pressure regulation and flow stabilization in the pressure regulation device gradually shift from the side channel and compensation chamber to the side channel and secondary channel. The channel structure plays a crucial role in the entire fluid system. A comparison and analysis of the changes in cross-sectional pressure and flow velocity of the flow channel under different inlet pressures revealed that increasing the height of the side flow channel baffle and auxiliary flow channel effectively improved the pressure-regulating and flow-stabilizing performance of the pressure-regulating device. The results can be useful to optimize the structure of pressure regulation devices and to solve the problem of excessive pressure deviation in sprinkler irrigation systems in hilly areas.
Effects of Cover Measures on Soil Organic Nitrogen Fractions and Total Soluble Nitrogen Pools in Citrus Orchards of the Red Soil Hilly Region of Southern China
Authors: Li Heming , Zhou Bangning , Zhuo Zuopin , Wang Lei , Wang Zumei , Xie Chuanjin , Jiang Fangshi , Lin Jinshi , Huang Yanhe , Zhang Yue
Published: October 2024

Soil organic nitrogen fractions and total soluble nitrogen (TSN) pools are crucial for assessing orchard soil fertility and tree nutrient requirements. Here, we studied the effects of grass cover (GC), plastic mulch (PM), and clean tillage (CK) on the physicochemical properties, organic nitrogen fractions, and TSN content of soil from a 0–60 cm depth in a 7-year-old orchard in the red soil hilly region of southern China. The results showed that GC and PM significantly increased the content of soil organic carbon (SOC), total nitrogen (TN), total phosphorus (TP), and total potassium (TK), as well as the C/N and N/P ratios. The mean total organic nitrogen (TON) content in the 0–60 cm soil profile was 1219.21 and 895.15 mg·kg−1 in the GC and PM treatments, and it was 67.36% and 22.88% higher in the GC and PM treatments than in the CK, respectively. In the 0–20 cm soil horizon, the active organic nitrogen (AN, AAN, ASN) content was 52.67% and 17.15% higher in the GC and PM treatments than in the CK, respectively. In the 20–60 cm soil horizon, the stable organic nitrogen (UN, NHN) content was 97.13% and 21.69% greater under the GC and PM treatments compared to the CK, respectively. Different ground cover methods increased the total soluble nitrogen (TSN) concentration in the 0–20 cm soil horizon while reducing it in the deeper 20–60 cm layer. Correlation analysis revealed significant positive correlations of SOC, TN, TP, TSN, and TON with acid-hydrolyzable nitrogen fractions (AN, AAN, ASN, UN) and significant negative correlations with bulk density (BD). Stepwise linear regression analysis, using the regression equation TSN = 0.372AN − 0.053NHN + 18.473 (p < 0.01, R2 = 0.925), identified AN as a critical indicator for TSN among the active organic nitrogen fractions.
Development and Evaluation of a Monodisperse Droplet-Generation System for Precision Herbicide Application
Authors: Wu Minmin , Ou Mingxiong , Zhang Yong , Jia Weidong , Dai Shiqun , Wang Ming , Dong Xiang , Wang Xiaowen , Jiang Li
Published: October 2024

Traditional methods of weed control during field management often result in herbicide waste. Precision herbicide application is crucial in agricultural production. This study presents a monodisperse droplet-generation system designed for precision herbicide application, capable of generating monodisperse droplets induced by an electric field. Droplet-generation experiments were conducted to investigate the effects of capillary tube outlet shape, liquid flow rate, and capillary tube size on the generation of charged droplets. A droplet diameter prediction model was established based on the system parameters. Experimental results indicated that as the applied voltage increased, the droplet diameter decreased, and the droplet-generation patterns transitioned sequentially from dripping, micro-dripping, to unstable dripping modes. In a weak electric field, capillaries with beveled outlets produced smaller droplets with more stable diameter distributions compared to those with blunt outlets. In a strong electric field, the smallest droplet diameter from blunt capillaries was 138.2 μm, whereas from beveled capillaries it was 198.7 μm. Within the design parameter range, droplet diameter was basically positively correlated with liquid flow rate and capillary tube size. By controlling the applied voltage, liquid flow rate, and capillary tube size, stable droplet generation could be achieved within a diameter range of 198.7–2520.8 μm, and the coefficient of variation of droplet diameter under the same working conditions was generally less than 6%. The monodisperse droplet-generation system developed in this study can effectively reduce herbicide usage and improve application efficiency.
Effects of Anthracnose on the Structure and Diversity of Endophytic Microbial Communities in Postharvest Avocado Fruits
Authors: Chen Xi , Jiang Zhuoen , He Peng , Tang Xiuhua , Song Haiyun , Zhang Tao , Wei Zhejun , Dong Tao , Zheng Shufang , Tu Xinghao , Qin Jian , Chen Jingjing , Wang Wenlin
Published: October 2024

This study aimed to provide foundational research for the biological control of postharvest avocado fruits anthracnose and establish a microbial system of postharvest avocado fruits. The high-throughput sequencing of avocado fruits from the anthracnose-infected and healthy groups was performed using Illumina NovaSeq second-generation sequencing technology. The results revealed that, except for Colletotrichum sp. strain 38#, there were differences in the bacterial community structure of avocados before and after infection, as determined through alpha and beta diversity analysis. Additionally, there were significant differences in the endophytic fungal community structure, allowing clear differentiation between the infected and healthy avocados. The endophytic bacterial community was primarily composed of 4 phyla and 10 genera, with the Bacteroidota phylum and Chryseobacterium genus demonstrating sensitivity to anthracnose pathogens, as evidenced by a decrease in their relative abundance after infection. The endophytic fungal community was characterized by 3 phyla and 10 genera. After infection, the relative abundance of 2 phyla (Anthophyta and Basidiomycota) and 7 genera (Eucalyptus, Candida, Kluyveromyces, Talaromyces, Oidiodendron, Nigrospora, and Pestalotiopsis) decreased, whereas the relative abundance of the Colletotrichum genus increased dramatically. The LEfSe (Linear discriminant analysis Effect Size) analysis indicated that significant biomarkers were more prevalent in endophytic bacteria than in endophytic fungi in the avocados. In endophytic bacteria, the key biomarkers included the Firmicutes phylum (Bacilli class), Proteobacteria phylum (Gammaproteobacteria class, Pseudomonadales order, Pseudomonadaceae family, and Pseudomonas genus), Flavobacteriales order, Weeksellaceae family, and Chryseobacterium genus. In endophytic fungi, the important biomarkers were Saccharomycetes class (Saccharomycetales order), Glomerellales order (Glomerellaceae family and Colletotrichum genus), and Botryosphaeriales order (Botryosphaeriaceae family and Lasiodiplodia genus). These results may provide a theoretical basis for the development of future biological agents for avocado anthracnose.
Effects of Nitrogen Fertilizer Management on Cadmium Concentration in Brown Rice
Authors: Zhang Ye , Zhang Yusheng , Chen Peng , Xiao Huan , Ao Hejun
Published: October 2024

The technology for reducing cadmium (Cd) contamination in rice is being explored globally. In this study, the ratios of nitrogen fertilizers used were 5:5:0:0 (T1), 4:4:2:0 (T2), 6:0:2:2 (T3), and 3:2:2:3 (T4). The objective of the pot experiment was to understand how nitrogen management can reduce Cd accumulation in rice by influencing soil pH, the bioavailability of Cd concentrations in soil, Cd adsorption by iron membranes on rice roots, and the transport of mineral elements. The results indicated that nitrogen fertilizer application acidifies the soil and increases the bioavailable Cd concentration. A correlation analysis revealed a significant positive correlation between Cd concentration in the Fe plaque on rice roots and Cd concentration in the roots. Overall, the application of nitrogen fertilizers increased the concentrations of Cd and mineral elements in rice tissues, particularly in Cu, Mn, and Zn, but reduced the transfer of Cd between tissues. After nitrogen application, the concentrations of mineral elements in brown rice significantly increased, with negative correlations being observed between the Cu, Mn, and Zn concentrations and Cd concentration in brown rice. The brown rice with a nitrogen fertilizer proportion of 6:0:2:2 exhibited the lowest Cd concentration, showing significant reductions of 48.04% (X13H) and 43.46% (YZX) compared to the control treatment. These findings suggest that nitrogen management can enhance the coefficients of mineral element uptake in rice, compete against the transport of Cd to the grains, and that late-growth-stage nitrogen application can be more effective in reducing Cd concentration in brown rice.
Identification and Functional Characterization of Alfalfa (Medicago sativa L.) Expansins in Regulating Arabidopsis Shoot and Root Development
Authors: Hu Longxing , Zhao Mengran , Hu Yu , Xu Qian , Lu Rui
Published: October 2024

Expansins are known as cell wall loosening proteins and are involved in cell expansion and varieties of plant developmental progresses. However, little is known about their biological functions in alfalfa (Medicago sativa L.). In the present study, 30 MsEXP genes were identified in the alfalfa (cultivar “zhongmu-1”) genome. Phylogenetic analysis revealed that these MsEXP proteins were divided into four subfamilies, including twenty-one MsEXPAs, six MsEXPBs, one MsEXL1 and two MsEXLBs. MsEXP genes were unevenly distributed on eight chromosomes. The gene structures of the MsEXP genes and the motif composition of the MsEXP proteins were inconsistent with the phylogenetic relationship of MsEXPs. Cis-acting elements analysis indicated that MsEXP genes may respond to diverse hormonal signals involved in the developmental progress of plants. Furthermore, expression analysis suggested that MsEXP genes exhibited distinct expression patterns among different tissues of alfalfa. Overexpression of MsEXPA3 or MsEXPA4 promoted the growth of leaves, stems and roots of Arabidopsis, thereby increasing the biomass of plants. Subsequent cell morphological analysis uncovered that overexpression of MsEXPA3 or MsEXPA4 promoted the expansion of cells. Taken together, these findings illustrate the functions of MsEXP proteins in regulating the development of plants. Our results may provide a strong basis for further elucidating the roles of these EXP genes in alfalfa development and valuable genetic resources for future crop improvement.
Effects of Dietary Energy Profiles on Energy Metabolic Partition and Excreta in Songliao Black Pigs Under Different Ambient Temperature
Authors: Zhou Kai , Jiang Dan , Yan Xiaogang , Qin Guixin , Che Dongsheng , Han Rui , Jiang Hailong
Published: October 2024

In order to further reveal the special characteristics of energy metabolism and the characteristics of energy requirements of fattening pigs grown in low-temperature environments, this study used a 2 × 2 × 2 factorial array of treatments, which harnessed two temperatures (low-temperature, LT group: 10 °C; normal-temperature, NT group: 20 °C), two feed energy levels (normal-energy, NE group: 14.02 MJ/kg metabolic energy; high-energy, HE group: 15.14 MJ/kg metabolic energy), and two feed energy sources (LF group: low fat, HF group: high fat). Thirty-two Songliao black fattening pigs with an initial body weight of 85.48 ± 2.31 kg were completely randomized into eight treatment groups, with four replicates in each treatment group and one pig in each replicate. The pigs were placed in a respiratory metabolic chamber for a 6-day trial. There was one pig per respiratory metabolic chamber in a single cage. The results showed that the average daily weight gain in the normal-temperature, high-energy, and high-fat groups was higher than that of the low-temperature, normal-energy, and low-fat groups (p < 0.05). The fat deposition rate, protein oxidation, and fat oxidation of the high-fat group were higher than those of the low-fat group (p < 0.05). The energy digestibility, protein digestibility, and fat digestibility in the high-fat group were higher than those in the normal-energy group (p < 0.05). The fat digestibility and energy deposition rate in the high-fat group were higher than those in the low-fat group (p < 0.05). The respiratory quotient in the high-energy group was lower than that in the normal-energy group (p < 0.05), and the respiratory quotient in the high-fat group was lower than that in the low-fat group (p < 0.05). There was an interaction between temperature and energy sources in terms of the respiratory quotient, fat oxidation, blood urea nitrogen content, and glucose content (p < 0.05). Appropriately increasing the energy level of the diet and improving the energy structure of the feed (increasing the level of fats and oils) will benefit Songliao black fattening pigs by increasing their energy use efficiency and at the same time reducing greenhouse gas CO2 emissions, and these changes are more pronounced in cold environments.
Exploring Endocannabinoid System: Unveiling New Roles in Modulating ER Stress
Authors: Capolupo Ilaria , Miranda Maria Rosaria , Musella Simona , Di Sarno Veronica , Manfra Michele , Ostacolo Carmine , Bertamino Alessia , Campiglia Pietro , Ciaglia Tania
Published: October 2024

The endoplasmic reticulum (ER) is the organelle mainly involved in maintaining cellular homeostasis and driving correct protein folding. ER-dependent defects or dysfunctions are associated with the genesis/progression of several pathological conditions, including cancer, inflammation, and neurodegenerative disorders, that are directly or indirectly correlated to a wide set of events collectively named under the term “ER stress”. Despite the recent increase in interest concerning ER activity, further research studies are needed to highlight all the mechanisms responsible for ER failure. In this field, recent discoveries paved the way for the comprehension of the strong interaction between ER stress development and the endocannabinoid system. The activity of the endocannabinoid system is mediated by the activation of cannabinoid receptors (CB), G protein-coupled receptors that induce a decrease in cAMP levels, with downstream anti-inflammatory effects. CB activation drives, in most cases, the recovery of ER homeostasis through the regulation of ER stress hallmarks PERK, ATF6, and IRE1. In this review, we focus on the CB role in modulating ER stress, with particular attention to the cellular processes leading to UPR activation and oxidative stress response extinguishment, and to the mechanisms underlying natural cannabinoids’ modulation of this complex cellular machine.
Oxidative Stress and Antioxidants in Aging
Authors: Dossena Silvia , Marino Angela
Published: October 2024

Global aging represents a challenge for social health [...]