bluuebunny/crossref_metadata_2025 huggingface dataset:
Clinical Feasibility of 5.0 T MRI/MRCP in Characterizing Pancreatic Cystic Lesions: Comparison with 3.0 T and MDCT
Authors: Zhao Huijia , Xu Qiang , Gao Ruichen , Yin Bohui , Sun Gan , Xue Ke , Yang Yuxin , Li Enhui , Zhu Liang , Feng Feng , Wu Wenming
Published: November 2024

Objectives: To assess the feasibility of 5.0 T magnetic resonance imaging (MRI) in characterizing pancreatic cystic lesions (PCLs), compared with 3.0 T MRI and multidetector computed tomography (MDCT). Methods: Thirty-five patients with PCLs underwent 5.0 T MR alongside 3.0 T MR or MDCT. Two observers measured subjective and objective image quality scores. The consistency of two observers between 5.0 T and 3.0 T was calculated by intraclass correlation coefficients. The characteristics of PCLs and their specific diagnosis, as well as benignity/malignancy, were evaluated across MDCT, 3.0 T, and 5.0 T MRI. Results: The 5.0 T MR demonstrated significantly higher subjective image quality and SNR on T1WI compared to that in 3.0 T MR (p < 0.05). The 5.0 T MRI identified more cyst lesions than the 3.0 T MRI (40 and 32) and MDCT (82 and 56). The sensitivity, specificity, and accuracy for differentiating benign from malignant lesions with 5.0 T MRI (75%, 100%, and 91.4%, respectively) surpassed those of 3.0 T MRI and MDCT. The accuracy of the specific diagnosis of PCLs at 5.0 T MRI (80%) was superior to 3.0 T MRI and MDCT. Conclusions: 5.0 T MRI exhibits certain superiority in delineating details of PCLs and in clinical diagnostic accuracy, outperforming MDCT and 3.0 T MRI while maintaining sufficient image quality.
Monitoring and Management of Cytomegalovirus Reactivations After Allogeneic Hematopoietic Stem Cell Transplantation in Children: Experience from a Single Pediatric Center
Authors: Ferrando Giulia , Bagnasco Francesca , Giardino Stefano , Pierri Filomena , Pestarino Sara , Di Marco Eddi , Santaniello Maria , Castagnola Elio , Faraci Maura
Published: November 2024

Background: CMV reactivation represents a frequent complication after HSCT. The aim of this study was to describe the incidence of CMV reactivation in a pediatric HSCT cohort and analyze the potential impact of recipient/donor-related or transplant-related factors on this complication. Furthermore, we analyzed the management of CMV reactivation in order to purpose criteria for pre-emptive therapy. Methods: Allogeneic HSCTs, performed at IRCCS Istituto Gaslini between 2012 and 2022, were included in this analysis. CMV–DNAemia was regularly monitored. Risk stratification was based on donor/recipient serological status and additional potential risk factors were considered: haploidentical transplant; any HSCT subsequent to the first; acute and chronic GvHD; steroids; and other immunosuppressive therapies. We described also the approach for pre-emptive therapy during the period 2012–2019. Results: A total of 214 allogeneic HSCTs were performed in 189 patients. In total, 100 (46.7%) HSCTs were complicated by at least one reactivation. CMV reactivation was significantly associated with high serological risk and steroid treatment. Pre-emptive therapy was administered in 59/69 (85.5%) HSCTs during 2012–2019. In the presence of predefined risk conditions, therapy was started at a median viremia of 2050 copies/mL. No difference was observed in OS between patients with CMV reactivation versus patients who did not present this complication. Conclusions: These results suggest the potential effectiveness of the approach used in providing pre-emptive therapy based on viral load monitoring and individualized risk factors.
Textile Fabric Defect Detection Using Enhanced Deep Convolutional Neural Network with Safe Human–Robot Collaborative Interaction
Authors: Hassan Syed Ali , Beliatis Michail J. , Radziwon Agnieszka , Menciassi Arianna , Oddo Calogero Maria
Published: November 2024

The emergence of modern robotic technology and artificial intelligence (AI) enables a transformation in the textile sector. Manual fabric defect inspection is time-consuming, error-prone, and labor-intensive. This offers a great possibility for applying more AI-trained automated processes with safe human–robot interaction (HRI) to reduce risks of work accidents and occupational illnesses and enhance the environmental sustainability of the processes. In this experimental study, we developed, implemented, and tested a novel algorithm that detects fabric defects by utilizing enhanced deep convolutional neural networks (DCNNs). The proposed method integrates advanced DCNN architectures to automatically classify and detect 13 different types of fabric defects, such as double-ends, holes, broken ends, etc., ensuring high accuracy and efficiency in the inspection process. The dataset is created through augmentation techniques and a model is fine-tuned on a large dataset of annotated images using transfer learning approaches. The experiment was performed using an anthropomorphic robot that was programmed to move above the fabric. The camera attached to the robot detected defects in the fabric and triggered an alarm. A photoelectric sensor was installed on the conveyor belt and linked to the robot to notify it about an impending fabric. The CNN model architecture was enhanced to increase performance. Experimental findings show that the presented system can detect fabric defects with a 97.49% mean Average Precision (mAP).
BWSAR: A Single-Drone Search-and-Rescue Methodology Leveraging 5G-NR Beam Sweeping Technologies for Victim Localization
Authors: He Ming , Du Keliang , Huang Haoran , Song Qi , Liu Xinyu
Published: November 2024

Drones integrated with 5G New Radio (NR) base stations have emerged as a promising solution for efficient victim search and localization in emergency zones where cellular networks are disrupted by natural disasters. Traditional approaches relying solely on uplink Sounding Reference Signal (SRS) for localization face limitations due to User Equipment (UE) power constraints. To overcome this, our paper introduces BWSAR, a novel three-stage Search-and-Rescue (SAR) methodology leveraging 5G-NR beam sweeping technologies. BWSAR utilizes downlink Synchronization Signal Block (SSB) for coarse-grained direction estimation, guiding the drone towards potential victim locations. Subsequently, finer-grained beam sweeping with Positioning Reference Signal (PRS) is employed within the identified direction, enabling precise three-dimensional UE coordinate estimation. Furthermore, we propose a trajectory optimization algorithm to expedite the drone’s navigation to emergency areas. Simulation results underscore BWSAR’s efficacy in reducing positioning errors and completing SAR missions swiftly, within minutes.
Active Impulsive Noise Control with Missing Input Data Based on FxImdMCC Algorithm
Authors: Li Xi , Zheng Zongsheng , Shao Ziyuan , Han Yuhang
Published: November 2024

In this study, we address the challenge of noise reduction in environments characterized by impulsive noise and missing input data in active noise control (ANC) systems, where existing algorithms often fail to deliver satisfactory results. Background noise, especially impulsive noise, poses a significant obstacle to signal processing and noise reduction. Furthermore, data loss during transmission or acquisition further complicates the noise reduction task. In this paper, a filtered-x imputation of the missing data maximum correntropy criterion (FxImdMCC) algorithm is proposed based on an imputation model, least mean square, and the maximum correntropy criterion (MCC), which can effectively reduce the impact of outliers and missing input data. The simulation results demonstrate the efficacy of the proposed FxImdMCC algorithm, which significantly outperforms existing algorithms in the context of active impulsive noise control.
Balancing Security and Efficiency: A Power Consumption Analysis of a Lightweight Block Cipher
Authors: Rana Muhammad , Mamun Quazi , Islam Rafiqul
Published: November 2024

This research paper presents a detailed analysis of a lightweight block cipher’s (LWBC) power consumption and security features, specifically designed for IoT applications. To accurately measure energy consumption during the execution of the LWBC algorithm, we utilised the Qoitech Otii Arc, a specialised tool for optimising energy usage. Our experimental setup involved using the Otii Arc as a power source for an Arduino NodeMCU V3, running the LWBC security algorithm. Our methodology focused on energy consumption analysis using the shunt resistor technique. Our findings reveal that the LWBC is highly efficient and provides an effective solution for energy-limited IoT devices. We also conducted a comparative analysis of the proposed cipher against established LWBCs, which demonstrated its superior performance in terms of energy consumption per bit. The proposed LWBC was evaluated based on various key dimensions such as power efficiency, key and block size, rounds, cipher architecture, gate area, ROM, latency, and throughput. The results of our analysis indicate that the proposed LWBC is a promising cryptographic solution for energy-conscious and resource-limited IoT applications.
Effect of Solar Irradiation Inter-Annual Variability on PV and CSP Power Plants Production Capacity: Portugal Case-Study
Authors: Tavares Ailton M. , Conceição Ricardo , Lopes Francisco M. , Silva Hugo G.
Published: November 2024

The sizing of solar energy power plants is usually made using typical meteorological years, which disregards the inter-annual variability of the solar resource. Nevertheless, such variability is crucial for the bankability of these projects because it impacts on the production goals set at the time of the supply agreement. For that reason, this study aims to fill the gap in the existing literature and analyse the impact that solar resource variability has on solar power plant production as applied to the case of Portugal (southern Europe). To that end, 17 years (2003–2019) of meteorological data from a network of 90 ground stations hosted by the Portuguese Meteorological Service is examined. Annual capacity factor regarding photovoltaic (PV) and concentrating solar power (CSP) plants is computed using the System Advisor Model, used here for solar power performance simulations. In terms of results, while a long-term trend for increase in annual irradiation is found for Global Horizontal Irradiance (GHI) and Direct Normal Irradiance (DNI), 0.4148 and 3.2711 kWh/m2/year, respectively, consistent with a solar brightening period, no corresponding trend is found for PV or CSP production. The latter is attributed to the long-term upward trend of 0.0231 °C/year in annual average ambient temperature, which contributes to PV and CSP efficiency reduction. Spatial analysis of inter-annual relative variability for GHI and DNI shows a reduction in variability from the north to the south of the country, as well as for the respective power plant productions. Particularly, for PV, inter-annual variability ranges between 2.45% and 12.07% in Faro and Santarém, respectively, while higher values are generally found for CSP, 3.71% in Faro and 16.04% in São Pedro de Moel. These results are a contribution to future instalments of PV and CSP systems in southern Portugal, a region with very favourable conditions for solar energy harvesting, due to the combination of high production capacity and low inter-annual variability.
Influence of Gas Washing and Oil Mixing on the Phase Behavior and Physical Properties of Cambrian Light Oils in the Tazhong Uplift, Tarim Basin
Authors: Chen Chengsheng , Wang Yifeng , He Zhihua , Li Jian , Wang Yunpeng
Published: November 2024

Gas washing and oil mixing have been widely studied in the Tazhong area of the Tarim Basin, but their effects on Cambrian subsaltic dolomite reservoirs have not yet been adequately explored. In this study, the influence of gas washing and oil mixing on light oils from these reservoirs was investigated. Using n-alkane mass depletion (Q value) analysis, light oils from wells ZS1 and ZS5 were analyzed to quantify the intensity of gas washing and to identify possible oil mixing in the Cambrian Awataga (Є2a) and Wusongar (Є1w) reservoirs. Unaltered light oil was recovered and models of phase behavior were constructed by PVT simulation and basin modeling to compare with altered light oils. The results show that the light oil in well ZS1 experienced medium-strength gas washing (Q value = 40.88%), while the gas washing in well ZS5 was weaker (Q value < 40.88%), providing evidence of oil mixing. Despite these changes, the light oils in the Cambrian reservoirs maintained a single liquid-phase state over geologic time without transitioning to condensate or gas phases. These results improve the understanding of gas washing in the Tazhong area and show that it has significantly altered the Cambrian reservoirs and affected the preservation of hydrocarbons after oil accumulation.
Electric Vehicle Charging Station Recommendations Considering User Charging Preferences Based on Comment Data
Authors: Li Houzhi , Han Qingwen , Bai Xueyuan , Zhang Li , Wang Wen , Chen Wenjia , Xiang Lin
Published: November 2024

User preferences are important for electric vehicle charging station (EVCS) recommendations, but they have not been deeply analyzed. Therefore, in this study, user charging preferences are identified and applied to EVCS recommendations using a hybrid model that integrates LightGBM and singular value decomposition (SVD). In the model, LightGBM is used to predict user ratings according to users’ comments regarding charging orders, and the feature importance reported by each user is output. Then, a co-occurrence matrix between users and charging stations (EVCSs) is constructed and decomposed using SVD. Based on the decomposed results, the final evaluated scores of each user for EVCSs can be calculated. Upon ranking the EVCSs according to the scores, the EVCS recommendation results are obtained, taking into account the users’ charging preferences. The sample data consist of 28,306 orders from 508 users at 241 charging stations in Linyi, Shandong, China. The experimental results show that the proposed hybrid model outperforms the benchmark models in terms of precision, recall, and F1 score, and its F1 score can be increased by 96% compared with that of the traditional item-based collaborative filtering method with charging counts for EVCS recommendations.
Is the Corporate Average Fuel Economy Scheme Effective at Improving Vehicle Fuel Efficiency in a Small-Scale Market? Evidence from Taiwan
Authors: Lin Hwa , Huang Yun-Hsun , Wu Jung-Hua
Published: November 2024

This article discusses how the introduction of corporate average fuel economy (CAFE) standards in Taiwan, whose market and industry size are much smaller than those of Europe, the United States, Japan, and China, can effectively improve vehicle energy efficiency. It examines the changes in passenger car energy efficiency under Taiwan’s CAFE framework and evaluates CAFE compliance performance to summarize its impacts and challenges. Observations indicate that the strategically flexible CAFE scheme is indeed more effective than mandatory minimum energy performance standards (MEPS) in encouraging manufacturers to comply through various methods. This approach has ultimately increased the overall average fuel efficiency of Taiwan’s passenger cars by 23.5% since 2012, while maintaining the diversity of vehicle models in the market. However, there are challenges to implementing CAFE in a small market, such as difficulties in introducing and promoting high-efficiency models, limited activity in the CAFE credit market, and the current overly favorable policy design. The design of the CAFE mechanism is crucial not only for benchmarking with larger economies but also for taking into account local market conditions and industrial capabilities. Taiwan’s next phase of CAFE must incorporate multi-dimensional adjustments to achieve higher, potentially net-zero vehicle efficiency targets.
Atlantic Forest Regeneration Dynamics Following Human Disturbance Cessation in Brazil
Authors: Sivisaca Deicy Carolina Lozano , Puglla Celso Anibal Yaguana , Passos José Raimundo de Souza , Fonseca Renata Cristina Batista , Ganga Antonio , Capra Gian Franco , Guerrini Iraê Amaral
Published: November 2024

The Brazilian Atlantic Forest (BAF) is one of the most important biodiversity hotspots and species-rich ecosystems globally. Due to human activities, it has been significantly reduced and fragmented. This study examined both biotic (floristic composition, diversity, and structure) and abiotic (topographic and soil) factors in BAF fragments undergoing varying levels and durations of human disturbance cessation: approximately 20 years (20 y), ~30 years (30 y), and over 40 years (>40 y). We aimed to understand the recovery dynamics of floristic composition, diversity, and structure in BAF fragments in relation to abiotic factors. Several statistical tools were employed to examine similarities/differences and relationships. Forests of the 30 y group exhibit significantly greater homogeneity in terms of floristic composition, while forests of the 20 y group are characterized by lower species abundance and diversity. The floristic composition was primarily influenced by soil features and the time of disturbance. Under “Environmental Protection Areas”, soil–vegetation recovery can occur more swiftly than usually observed for BAF. A significant BAF recovery was observed approximately 40 years after the end of human disturbance. A partial recovery featured 30 y disturbed areas, while in 20 y forests, recovery is in its early stages. Human-disturbed BAF can gradually rebound when effective management practices are implemented.
Roasted and Unroasted Cocoa Nibs: Bioactive Compounds Analysis and Application in Cereal Bars
Authors: Souza Mariane Sampaio da Silveira de , Borges Larissa Lorrane Rodrigues , Kobi Hélia de Barros , Freitas Valdeir Viana , Rigolon Thaís Caroline Buttow , Olegário Lary Souza , Gutiérrez Eliana Alviarez , Felix Pedro Henrique Campelo , Vidigal Marcia Cristina Teixeira Ribeiro , Stringheta Paulo Cesar
Published: November 2024

Cocoa beans contain a variety of nutritional compounds and are rich in biologically active substances. The aim of this study was to utilize cocoa nibs (roasted and unroasted) as the main ingredient in the development of an attractive and convenient product. The produced nibs were analyzed for total phenolics, flavonoids, and antioxidant capacity using DPPH, ABTS, and FRAP methods. The primary phenolic compounds and methylxanthines were analyzed by LC/MS. Subsequently, cereal bars were developed, including a control sample (without nibs) and five formulations containing 41% nibs, using various proportions of roasted and unroasted nibs. The influence of the origin of the beans on the product characteristics was also evaluated. The results showed that the roasting process led to a reduction in epicatechin, caffeine, and caffeic acid. Furthermore, the reduction in total phenolics, flavonoids, and antioxidant capacity after roasting was more pronounced in beans from Bahia compared to those from Espírito Santo. Regarding the cereal bars, the results demonstrated that using cocoa from Bahia, the formulation with a higher proportion of unroasted nibs (F80) significantly increased the total phenolic content (1968.85 mg of gallic acid/100 g) and total flavonoids (39.26 mg of quercetin/100 g). This initial study suggests that the use of cocoa nibs as a functional ingredient in cereal bars may be a viable and advantageous option for creating a product with greater antioxidant potential.
Food-Grade Bigel Systems: Formulation, Characterization, and Applications for Novel Food Product Development
Authors: Zampouni Konstantina , Dimakopoulou-Papazoglou Dafni , Katsanidis Eugenios
Published: November 2024

Bigels are characterized as biphasic systems consisting of two structured phases of different polarity, namely the oleogel and hydrogel phases. These systems have been widely used in pharmaceuticals and cosmetics, owing to their enhanced physicochemical stability compared to other structured systems and their ability to simultaneously deliver both hydrophilic and lipophilic compounds. Considering the above advantages, bigels could have considerable potential for the food industry. This review aims to provide a detailed description of the edible components used for structuring the oleogel and hydrogel phases and the preparation methods applied for the formation of food-grade bigels with application-specific tailored properties. The impact of the processing parameters, such as the oleogel-to-hydrogel ratio, methodology used for component mixing, and cooling rates, is presented. Moreover, the most applicable bigel characterization techniques, such as rheology, DSC, texture analysis, etc., are critically discussed. Finally, different bigel applications in foods as animal fat substitutes or as complex delivery systems for both polar and non-polar bioactive compounds are examined.
Frailty and Behavioral and Psychological Symptoms of Dementia: A Single Center Study
Authors: Rogani Sara , Calsolaro Valeria , Coppini Giulia , Lemmi Bianca , Taverni Irene , Bianchi Elena , Bianco Maria Giovanna , Pullia Rosanna , Di Carlo Ludovica , Okoye Chukwuma , Virdis Agostino , Monzani Fabio
Published: November 2024

Background: During the time-course of cognitive decline, Behavioral and Psychological Symptoms of Dementia (BPSD) may arise, negatively impacting the outcomes. Methods: The aim of this single center, longitudinal study was to evaluate the correlation between frailty and BPSD in a population of older patients with dementia. BPSD were classified into three clusters: “mood/apathy” (depression, apathy, sleep disturbances, appetite disturbances), “psychosis” (delusions, hallucinations, and anxiety), and “hyperactivity” (agitation, elation, motor aberrant behavior, irritability, disinhibition). Using the Clinical Frailty Scale (CFS), patients were categorized as “severely frail”, “mild/moderately frail” and “robust” (CFS ≥ 7, 4–6, and ≤ 3, respectively). Results: In total, 209 patients (mean age 83.24 ± 4.98 years) with a clinical diagnosis of dementia were enrolled. BPSD were prevalent among the severely frail patients. A positive correlation at regression analysis was found between frailty and “hyperactivity” cluster at baseline and follow-up visits (p < 0.001, p = 0.022, p = 0.028, respectively), and was confirmed at the network analysis. Loss of independence in IADL was correlated to hyperactivity and psychosis symptoms (p < 0.001 and p = 0.013, respectively). Conclusions: Scarce literature is available regarding the correlation between frailty and BPSD, which in our study is significant, especially for symptoms in the hyperactivity cluster. Frailty assessment may help identify patients at the highest risk for developing BPDS who might benefit from targeted intervention in the earliest phases of the disease.
Innovative Regional Services and Heterogeneous Communication Channels: Results from the Nationwide German egePan Project for Pandemic Management
Authors: Kugai Simon , Aretz Benjamin , Krumpholtz Yelda , Schmidt Manuela , Süssle Daniela , Steyer Linda , Henkel Adrienne , Bender Katrin , Girrbach Felix , Stehr Sebastian , Balzer Katrin , Weltermann Birgitta
Published: November 2024

Background: In the COVID-19 pandemic, novel regional services and communication channels emerged across all sectors of the German healthcare system. To contribute to pandemic preparedness, this study aims to describe newly established services in response to the COVID-19 pandemic from a stakeholder perspective and to examine the interprofessional communication channels, applying a nationwide cross-sectional approach. Methods: A nationwide sample of German healthcare stakeholders comprising general practitioners, associations of statutory health insurance physicians, hospital medical directors, local health departments, rescue coordination centres, medical directors of emergency services, outpatient nursing services, nursing homes, community care access centres, and hospital nursing managers was surveyed. A web-based questionnaire asked for their level of participation in newly implemented regional COVID-19 services and communication channels. Stakeholders’ level of recommendation was measured using the Net Promotor Score (NPS), a metric that assesses their satisfaction towards the services surveyed. Results: In total, 1312 healthcare stakeholders participated in the survey. Diagnostic centres (23.0–90.9%), COVID-19 wards in hospitals (40.5–92.1%), emergency medical vehicles designated solely for COVID-19 patients (16.5–68.4%), and crisis intervention teams (11.6–30.6%) exhibited the highest rates of engagement. The services receiving the highest recommendation for future use were COVID-19 focus practices (NPS: 33.4–43.7), COVID-19 wards in hospitals (NPS: 47.6–84.4), transportation of COVID-19 patients exclusively by predefined professional groups (NPS: 12.5–36.4), and newly implemented digitally supported nursing services (NPS: 58.3–100.0). Telephones emerged as the most frequently used communication channel (58.0–96.7%), while email was the primary digital channel (23.7–81.5%). Conclusions: During the COVID-19 pandemic, Germany experienced significant variation in the implementation of pandemic-related services across healthcare sectors, with stakeholders prioritising services built on existing healthcare structures. Developing a proactive digital infrastructure to connect healthcare professionals from different sectors is crucial for better future pandemic management.
Evaluation of the Friday Night Live Mentoring Program on Supporting Positive Youth Development Outcomes
Authors: Tebb Kathleen P. , Tamirisa Ketan
Published: November 2024

Introduction: The use of alcohol, tobacco, and other drugs (ATOD) is a leading cause of preventable morbidity and mortality among adolescents. While traditional interventions have targeted specific health-risk behaviors (e.g., substance use, initiation of sexual intercourse, truancy, etc.), the evidence suggests that using a positive youth development (PYD) framework may have positive impacts across a number of domains. Friday Night Live Mentoring (FNLM) is a PYD-based, cross-age peer mentoring program that engages teams of older high school-aged youth to mentor teams of middle school-aged youth in a structured, ongoing, one-on-one relationship. While studies have demonstrated significant but small effect sizes of intergenerational youth mentoring programs in which an adult mentor is paired with the youth mentee, research on cross-age mentoring programs is limited. The purpose of the current study is to evaluate FNLM on its ability to improve participants’ knowledge, attitudes, skills, opportunities to develop caring relationships, school engagement, and academic performance. Methods: A retrospective, pre–post survey was administered online to FNLM participants across 13 California counties. Participants rated their knowledge and attitudes about ATOD, skills, relationships with peers and adults, and academic indicators. Open-ended questions gathered information about participants’ experiences in FNLM. Non-parametric related-samples Wilcoxon signed rank tests (an alternative to paired t-test) were used to compare pre–post differences. Participants were also asked two open-ended questions: “What are the best parts of FNLM?” and “What, if anything, would you change?”. The responses to each question were reviewed, coded, and analyzed according to key themes. Results: A total of 512 participants completed the survey (287 mentors and 225 protégés). There were small but statistically significant improvements across all items for both mentors and protégés. Qualitative analyses showed that most mentors and protégés especially enjoyed getting to know and spend time with one another. Several mentors added that it was rewarding to be a positive influence on or to make a positive difference in the protégé’s life. Many youth stated that the relationships formed, especially with their partner, and the activities were the best part of FNLM. The overwhelming majority would not change anything about the program. Those who provided recommendations for program improvement suggested more activities or more hands-on and engaging activities and more or longer meetings. Conclusion: FNLM actively engages youth and provides them with support and opportunities that promote knowledge, skill development, positive relationships, academic engagement, and success and raise awareness of the harms that the use of alcohol, tobacco, and other drugs (ATOD) can cause. While ATOD use was low prior to program participation, it was significantly lower after participating in the program.
Effects of Protected Cultivation on Agronomic, Yield, and Quality Traits of Yard-Long Bean (Vigna unguiculata ssp. unguiculata cv.-gr. sesquipedalis)
Authors: Zhang Na , Liu Liangxin , Li Hongli , Wei Wei , Liang Guiqiu , Tang Yanmei , Zhao Yeyun , Wei Oujianghua , Yang Qibao
Published: November 2024

Protected cultivation is the sustainable approach to horticultural crop production under adverse climates. In this study, the performance of yard-long beans under three protected cultivations, including single-span polyhouse (SSP), five-span polyhouse (FSP), and insect-proof net house (IPN), is examined and compared to open field cultivation. The above protected cultivation can extend the harvest period of pods by 6–10 days, improve their quality, and increase yield by 15.6% to 25.1%, reducing the incidence and severity of thrips and Cercospora leaf spot, rust, and powdery mildew. Among them, yard-long beans grown in SSP are longer and straighter in shape and have the lowest incidence and severity of pests and diseases and the highest levels of total polyphenols, total sugar, soluble protein, starch, and fiber. This indicates that protected cultivation has broad application in the production of yard-long beans. Through full subset regression analysis (FSRA), we report here that the yield and of yard-long bean occurrences of pests and diseases were highly impacted by climatic factors, especially UV radiation intensity and air temperature. These results have considerable implications for improving pod yield and quality and green prevention and control of pests and diseases through optimizing facility structure and fertilizer management.
A Review on Storage Process Models for Improving Water Quality Modeling in Rivers
Authors: Saadat Amir Mohammad , Khodambashi Emami Sajad , Hamidifar Hossein
Published: November 2024

Water quality is intricately linked to the global water crisis since the availability of safe, clean water is essential for sustaining life and ensuring the well-being of communities worldwide. Pollutants such as industrial chemicals, agricultural runoff, and untreated sewage frequently enter rivers via surface runoff or direct discharges. This study provides an overview of the key mechanisms governing contaminant transport in rivers, with special attention to storage and hyporheic processes. The storage process conceptualizes a ubiquitous reactive boundary between the main channel (mobile zone) and its surrounding slower-flow areas (immobile zone). Research from the last five decades demonstrates the crucial role of storage and hyporheic zones in influencing solute residence time, nutrient cycling, and pollutant degradation. A review of solute transport models highlights significant advancements, including models like the transient storage model (TSM) and multirate mass transport (MRMT) model, which effectively capture complex storage zone dynamics and residence time distributions. However, more widely used models like the classical advection–dispersion equation (ADE) cannot hyporheic exchange, limiting their application in environments with significant storage contributions. Despite these advancements, challenges remain in accurately quantifying the relative contributions of storage zones to solute transport and degradation, especially in smaller streams dominated by hyporheic exchange. Future research should integrate detailed field observations with advanced numerical models to address these gaps and improve water quality predictions across diverse river systems.
Editorial for the Special Issue “Current Research on Cancer Biology and Therapeutics: 2nd Edition”
Authors: Coveñas Rafael
Published: November 2024

In the second edition of this Special Issue, several promising antitumor strategies have been presented in addition to those reported in the first edition, in which several compounds (acetylcorynoline, BaP1, sarco/endoplasmic reticulum calcium ATPase inhibitors, neuropeptide Y, neuropeptide Y antagonists, neurokinin-1 receptor antagonists) exerting antitumor effects against colorectal cancer, papillary thyroid carcinoma, cholangiocarcinoma, Ewing sarcoma, liver cancer, and breast cancer were reported [...]
Loss of DNA Polymerase β Delays Atherosclerosis in ApoE−/− Mice Due to Inhibition of Vascular Smooth Muscle Cell Migration
Authors: Zhao Lianfeng , Chen Jiannan , Zhang Yan , Liu Jiaqi , Li Wenying , Sun Yuling , Chen Ge , Guo Zhigang , Gu Lili
Published: November 2024

Atherosclerosis (AS) is an inflammatory disease characterized by arterial inflammation. One important trigger for AS development is the excessive migration of vascular smooth muscle cells (VSMCs); however, the mechanism underlying this phenomenon remains unclear. Therefore, we investigated the role of DNA polymerase β (Pol β), a crucial enzyme involved in base excision repair, VSMC migration, and subsequent AS development. In this study, we revealed a significant increase in Pol β content within AS plaques in ApoE−/−Pol β+/+ mice. In vitro experiments demonstrated a significant decrease in hCASMC viability and migration ability upon Pol β knockdown, whereas the subsequent recovery of Pol β expression reversed this effect. Moreover, our investigations revealed that Pol β knockdown leads to the inhibition of the POSTN gene transcription by suppressing the YY1/TGF-β1 pathway, resulting in the decreased expression of the protein periostin during VSMC migration. Collectively, our findings provide insights into the role of Pol β in AS development, offering a novel approach for the clinical treatment of cardiovascular diseases.
Effects of In Ovo Taurine Injection on Embryo Development, Antioxidant Status, and Bioactive Peptide Content in Chicken Embryos (Gallus gallus domesticus)
Authors: Łukasiewicz Mierzejewska Monika , Kotuszewska Marta , Puppel Kamila , Madras Majewska Beata
Published: November 2024

Stress in birds disrupts the homeostasis of the organism, leading to an inability to neutralize reactive oxygen species. Taurine, an effective antioxidant, affects various cellular mechanisms, including cation modulation, protein phosphorylation, and cell proliferation. The aim of the study was to evaluate the effect of colloid with taurine applied in ovo to Albumin on embryonic development, oxidative stress indicators and the content of bioactive peptides—carnosine and anserine—in the pectoral muscle. The research materials were eggs of the parent flock (Ross 308) divided into four groups (K (without injection), T50-concentration of taurine hydrocolloid 50 ppm (mg/L); T100-colloid concentration 100 ppm (mg/L) taurine; T500-colloid concentration of 500 ppm (mg/L) taurine). The experimental solutions were injected in an amount of 0.3 mL into egg white. Eggs were incubated under standard incubation conditions. The addition of 100 and 500 ppm taurine had a highly significant (p = 0.001) effect on the plasma antioxidant potential in chicks. The level of anserine increased with increasing concentrations of taurine. These changes were highly significant (p = 0.007). The level of anserine in the T2 and T3 groups was determined to be 2.5 times higher than in the pectoral muscles of embryos not treated with taurine colloid. An analysis of the results showed that the administration of an increased dose of hydrocolloid with taurine increased the content of carnosine and anserine in the pectoral muscle. Colloid with taurine applied in ovo to chicken white egg reduces oxidative stress and increases homeostasis of the organism.
Decoding Nucleotide Repeat Expansion Diseases: Novel Insights from Drosophila melanogaster Studies
Authors: Atienzar-Aroca Sandra , Kat Marleen , López-Castel Arturo
Published: November 2024

Drosophila melanogaster usage has provided substantial insights into the pathogenesis of several nucleotide repeat expansion diseases (NREDs), a group of genetic diseases characterized by the abnormal expansion of DNA repeats. Leveraging the genetic simplicity and manipulability of Drosophila, researchers have successfully modeled close to 15 NREDs such as Huntington’s disease (HD), several spinocerebellar ataxias (SCA), and myotonic dystrophies type 1 and 2 (DM1/DM2). These models have been instrumental in characterizing the principal associated molecular mechanisms: protein aggregation, RNA toxicity, and protein function loss, thus recapitulating key features of human disease. Used in chemical and genetic screenings, they also enable us to identify promising small molecules and genetic modifiers that mitigate the toxic effects of expanded repeats. This review summarizes the close to 150 studies performed in this area during the last seven years. The relevant highlights are the achievement of the first fly-based models for some NREDs, the incorporation of new technologies such as CRISPR for developing or evaluating transgenic flies containing repeat expanded motifs, and the evaluation of less understood toxic mechanisms in NREDs such as RAN translation. Overall, Drosophila melanogaster remains a powerful platform for research in NREDs.
Unveiling Key Genes and Unique Transcription Factors Involved in Secondary Cell Wall Formation in Pinus taeda
Authors: Ding Wei , Tu Zhonghua , Gong Bin , Deng Zhaolei , Liu Qian , Gu Zhenjun , Yang Chunxia
Published: November 2024

Pinus taeda is a key timber species, and extensive research has been conducted on its wood formation. However, a comprehensive investigation into the biosynthetic pathways of lignin, cellulose, and hemicellulose in P. taeda is lacking, resulting in an incomplete understanding of secondary cell wall (SCW) formation in this species. In this study, we systematically analyzed transcriptomic data from previously published sources and constructed detailed pathways for lignin, cellulose, and hemicellulose biosynthesis. We identified 188 lignin-related genes and 78 genes associated with cellulose and hemicellulose biosynthesis. An RT-qPCR highlighted 15 key lignin biosynthesis genes and 13 crucial genes for cellulose and hemicellulose biosynthesis. A STEM analysis showed that most essential enzyme-coding genes clustered into Profile 14, suggesting their significant role in SCW formation. Additionally, we identified seven NAC and six MYB transcription factors (TFs) from atypical evolutionary clades, with distinct expression patterns from those of the previously characterized NAC and MYB genes, indicating potentially unique functions in SCW formation. This research provides the first comprehensive overview of lignin, cellulose, and hemicellulose biosynthetic genes in P. taeda and underscores the importance of non-canonical NAC and MYB TFs, laying a genetic foundation for future studies on SCW regulatory mechanisms.
Azoxystrobin Exposure Impacts on Development Status and Physiological Responses of Worker Bees (Apis mellifera L.) from Larval to Pupal Stages
Authors: Duan Xinle , Yao Huanjing , Tong Wenlong , Xiong Manqiong , Huang Shaokang , Li Jianghong
Published: November 2024

Honeybee larvae and pupae form the cornerstone of colony survival, development, and reproduction. Azoxystrobin is an effective strobilurin fungicide that is applied during the flowering stage for controlling plant pathogens. The contaminated nectar and pollen resulting from its application are collected by forager bees and impact the health of honeybee larvae and pupae. The current study evaluated the survival, development, and physiological effects of azoxystrobin exposure on the larvae and pupae of Apis mellifera worker bees. The field-recommended concentrations of azoxystrobin were found to suppress the survival indices and lifespan in the larval as well as pupal stages; moreover, the rates of the survival and pupation of larvae as well as the body weights of the pupae and newly-emerged adult bees were significantly reduced upon long-term exposure to azoxystrobin. In addition, azoxystrobin ingestion induced changes in the expression of genes critical for the development, immunity, and nutrient metabolism of larvae and pupae, although the expression profile of these genes differed between the larval and pupal stages. Results indicated the chronic toxicity of azoxystrobin on the growth and development of honeybee larvae and pupae, which would affect their sensitivity to pathogens and other external stresses during the development stage and the study will provide vital information regarding the pollination safety and rational use of pesticides.
An Anthocyanin-Based Visual Reporter System for Genetic Transformation and Genome Editing in Cassava
Authors: Zhen Xing-Hou , Pan Ran-Ran , Lu Xiao-Hua , Ge Yu-Jian , Li Rui-Mei , Liu Jiao , Wang Ya-Jie , Yi Ke-Xian , Li Chun-Xia , Guo Jian-Chun , Yao Yuan , Geng Meng-Ting
Published: November 2024

Cassava (Manihot esculenta Crantz) is a staple crop in tropical and subtropical regions, valued for its high starch content in roots. Effective genetic transformation and genome editing of cassava require efficient screening methods for transgenic and edited plants. In this study, a visual selection marker system using an R2R3-MYB transcription factor anthocyanin 1 gene (HbAN1, LOC110667474) from a rubber tree (Hevea brasiliensis Müll. Arg.) has been developed to facilitate the identification of transgenic cassava plants. Transgenic cassava lines expressing HbAN1 accumulated anthocyanins in their leaves, allowing for easy visual identification without the need for destructive assays or specialized equipment. Importantly, the accumulation of anthocyanins did not affect the regeneration or transformation efficiency of cassava. Additionally, the AR-CRISPR/Cas9-gRNA system with the HbAN1 gene as a marker produced MeCDD4 gene-edited cassava mutants with purple leaves, demonstrating successful editing. This anthocyanin-based visual reporter (AR) system will provide an effective tool for genetic transformation and genome editing in cassava.
Disruption of RNA Splicing Increases Vulnerability of Cells to DNA-PK Inhibitors
Authors: Kovina Anastasia P. , Luzhin Artem V. , Tatarskiy Victor V. , Deriglazov Dmitry A. , Petrova Natalia V. , Petrova Nadezhda V. , Kondratyeva Liya G. , Kantidze Omar L. , Razin Sergey V. , Velichko Artem K.
Published: November 2024

DNA-dependent protein kinase (DNA-PK) is a key effector of non-homologous end joining (NHEJ)-mediated double-strand break (DSB) repair. Since its identification, a substantial body of evidence has demonstrated that DNA-PK is frequently overexpressed in cancer, plays a critical role in tumor development and progression, and is associated with poor prognosis in cancer patients. Recent studies have also uncovered novel functions of DNA-PK, shifting the paradigm of the role of DNA-PK in oncogenesis and renewing interest in targeting DNA-PK for cancer therapy. To gain genetic insight into the cellular pathways requiring DNA-PK activity, we used a CRISPR/Cas9 screen to identify genes in which defects cause hypersensitivity to DNA-PK inhibitors. We identified over one hundred genes involved in DNA replication, cell cycle regulation, and RNA processing that promoted cell survival when DNA-PK kinase activity was suppressed. This gene set will be useful for characterizing novel biological processes that require DNA-PK activity and identifying predictive biomarkers of response to DNA-PK inhibition in the clinic. We also validated several genes from this set and reported previously undescribed genes that modulate the response to DNA-PK inhibitors. In particular, we found that compromising the mRNA splicing pathway led to marked hypersensitivity to DNA-PK inhibition, providing a possible rationale for the combined use of splicing inhibitors and DNA-PK inhibitors for cancer therapy.
An Accurate and Efficient Approach to Knowledge Extraction from Scientific Publications Using Structured Ontology Models, Graph Neural Networks, and Large Language Models
Authors: Ivanisenko Timofey V. , Demenkov Pavel S. , Ivanisenko Vladimir A.
Published: November 2024

The rapid growth of biomedical literature makes it challenging for researchers to stay current. Integrating knowledge from various sources is crucial for studying complex biological systems. Traditional text-mining methods often have limited accuracy because they don’t capture semantic and contextual nuances. Deep-learning models can be computationally expensive and typically have low interpretability, though efforts in explainable AI aim to mitigate this. Furthermore, transformer-based models have a tendency to produce false or made-up information—a problem known as hallucination—which is especially prevalent in large language models (LLMs). This study proposes a hybrid approach combining text-mining techniques with graph neural networks (GNNs) and fine-tuned large language models (LLMs) to extend biomedical knowledge graphs and interpret predicted edges based on published literature. An LLM is used to validate predictions and provide explanations. Evaluated on a corpus of experimentally confirmed protein interactions, the approach achieved a Matthews correlation coefficient (MCC) of 0.772. Applied to insomnia, the approach identified 25 interactions between 32 human proteins absent in known knowledge bases, including regulatory interactions between MAOA and 5-HT2C, binding between ADAM22 and 14-3-3 proteins, which is implicated in neurological diseases, and a circadian regulatory loop involving RORB and NR1D1. The hybrid GNN-LLM method analyzes biomedical literature efficiency to uncover potential molecular interactions for complex disorders. It can accelerate therapeutic target discovery by focusing expert verification on the most relevant automatically extracted information.