bluuebunny/crossref_metadata_2025 huggingface dataset:
Demographic and clinical characteristics of hospitalized children with suspected and laboratory-confirmed COVID-19 during the six waves of SARS-CoV-2 infection in northern Iran a retrospective cohort study
Authors: Mohammadi Mohsen , Hashemi Erfan , Shirafkan Hoda , Sadeghi Farzin , Yahyapour Yousef
Published: December 2024

Introduction

Northern Iran is one of the regions of the country most affected by COVID-19. The aim of the current study was to examine the demographics, clinical characteristics, and outcomes of suspected and laboratory-confirmed patients <18 years of age hospitalized over two years (during six waves of SARS-CoV-2).

Methods

This retrospective cohort study examined hospitalized patients with suspected SARS-CoV-2 infection in Babol, northern Iran. The study included patients <18 years of age admitted to a pediatric referral hospital from March 7, 2020 to March 20, 2022. Epidemiological and demographic characteristics, real-time PCR cycle threshold (Ct), clinical data and COVID-19 results were analyzed in the hospitalized patients.

Results

Totally, 2,731 patients with suspected COVID-19 were examined from March 2020 to 2022, with a mean age of 4.6 years, and were male (54.3%). Most suspected cases occurred during the fifth (Delta) and sixth (Omicron) relapse (30% and 20%, respectively). Among them, 461 patients had comorbidities, with brain and neurological diseases (BND), malignancies and hematopoietic and blood disorders (HBDs) being the most common (6.7%, 2.6% and 2.1%, respectively). Real-time RT- PCR showed that 391 patients were positive. The mean age of the positive patients was 5.2 years. Most positive cases were in the fifth wave (30.9%), male (53.7%) and 1–5 years old (49.1%). BND (9.5%) and cardiovascular diseases (CVD) (4.3%) were common underlying conditions. A higher viral load (Ct score = 9–20) was most common in the fifth wave. Moreover, 8.7% of ICU admissions and 2.4% of deaths were due to a Ct score of 9–20. Most deaths occurred in the 1–5 age group and were associated with BND. More deaths occurred in women (73.9% overall, 71.4% real-time RT- PCR -positive), and the highest mortality was in the fifth wave. The risk ratio of mortality was higher in children with kidney disease (KD) and BND.

Conclusion

There were 27 ICU admissions (6.9%) and seven deaths (1.8%). The current study also revealed that children of any age can be susceptible to SARS-CoV-2 infection, while children aged 1–5 years are more susceptible to COVID-19. The Delta variant is associated with higher rates of hospitalization and ICU admission, and the presence of BND is associated with higher mortality rates.
Interventions for prevention and treatment of trastuzumab-induced cardiotoxicity: an umbrella review of systematic reviews and meta-analyses
Authors: Wang Yunfang , Xu Jianguo , Xie Yafei , Zhou Dan , Guo Mingyue , Qin Yu , Yi Kang , Tian Jinhui , You Tao
Published: December 2024

Background

Trastuzumab therapy for HER2-positive cancers is associated with cardiotoxicity. This umbrella review synthesizes evidence from systematic reviews and meta-analyses on cardioprotective interventions during trastuzumab treatment.

Methods

A comprehensive search was conducted in PubMed, Embase, Cochrane Library, and Web of Science. Systematic reviews and meta-analyses examining cardioprotective interventions in patients receiving trastuzumab were included. The methodological quality was assessed using the AMSTAR-2 tool. Data on cardiac events, treatment interruptions, left ventricular ejection fraction (LVEF) changes, and exercise interventions were synthesized.

Results

Ten systematic reviews met the inclusion criteria. Statins demonstrated the strongest cardioprotective effect (RR = 0.47, 95% CI: 0.26–0.84), potentially preventing more than half of cardiac events during trastuzumab therapy, followed by beta-blockers (RR = 0.61, 95% CI: 0.39–0.93). Beta-blockers and ACEIs effectively reduced treatment interruptions, enabling approximately 40% more patients to maintain treatment continuity (RR = 0.63, 95% CI: 0.47–0.86). Among non-pharmacological interventions, structured exercise programs showed significant benefits in preserving cardiac function, demonstrating meaningful improvements in resting LVEF (WMD = −3.27%, 95% CI: −5.86 to −0.68).

Discussion

This review demonstrates that cardioprotective interventions, particularly statins and beta-blockers, significantly reduce the risk of cardiac complications during trastuzumab therapy. The positive impact on cardiac events and treatment interruptions suggests these interventions may enhance overall treatment efficacy by allowing more patients to complete their prescribed course.

Conclusion

Evidence strongly supports the systematic implementation of cardioprotective strategies in clinical practice, particularly statins and beta-blockers, as part of routine care protocols for patients receiving trastuzumab therapy. These interventions demonstrate significant potential in preventing cardiac complications and maintaining treatment continuity. Further research should focus on optimizing personalized approaches and evaluating long-term outcomes.
A functional unbalance of TRPM8 and Kv1 channels underlies orofacial cold allodynia induced by peripheral nerve damage
Authors: Piña Ricardo , Ugarte Gonzalo , Guevara Camilo , Pino Richard , Valdebenito Katherine , Romero Sofía , Gómez del Campo Ana , Cornejo Víctor Hugo , Pertusa María , Madrid Rodolfo
Published: December 2024

Cold allodynia is a debilitating symptom of orofacial neuropathic pain resulting from trigeminal nerve damage. The molecular and neural bases of this sensory alteration are still poorly understood. Here, using chronic constriction injury (CCI) of the infraorbital nerve (IoN) (IoN-CCI) in mice, combined with behavioral analysis, Ca2+ imaging and patch-clamp recordings of retrogradely labeled IoN neurons in culture, immunohistochemistry, and adeno-associated viral (AAV) vector-based delivery in vivo, we explored the mechanisms underlying the altered orofacial cold sensitivity resulting from axonal damage in this trigeminal branch. We found that cold allodynia induced by IoN-CCI is linked to an increase in the proportion of cold-sensitive neurons (CSNs) contributing to this branch and a shift in their thermal thresholds to higher temperatures. These changes are correlated to a reduction of the Kv1.1-1.2-dependent brake potassium current IKD in IoN CSNs and a rise in the percentage of trigeminal neurons expressing TRPM8. The analysis of the electrophysiological properties of CSNs contributing to the IoN suggests that painful cold hypersensitivity involves the recruitment of silent nociceptive afferents that become sensitive to mild cold in response to nerve damage. Notably, pharmacological suppression of TRPM8 channels and AAV-based transduction of trigeminal neurons with the Kv1.1 channel in vivo effectively reverted the nociceptive phenotype in injured animals. Altogether, our results unveil a crucial role of TRPM8 and Kv1 channels in orofacial cold allodynia, suggesting that both the specific TRPM8-blocking and the AAV-driven expression of potassium channels underlying IKD in trigeminal neurons can be effective tools to revert this damage-triggered sensory alteration.
Predicting the diabetic foot in the population of type 2 diabetes mellitus from tongue images and clinical information using multi-modal deep learning
Authors: Tian Zhikui , Wang Dongjun , Sun Xuan , Cui Chuan , Wang Hongwu
Published: December 2024

Aims

Based on the quantitative and qualitative fusion data of traditional Chinese medicine (TCM) and Western medicine, a diabetic foot (DF) prediction model was established through combining the objectified parameters of TCM and Western medicine.

Methods

The ResNet-50 deep neural network (DNN) was used to extract depth features of tongue demonstration, and then a fully connected layer (FCL) was used for feature extraction to obtain aggregate features. Finally, a non-invasive DF prediction model based on tongue features was realized.

Results

Among the 391 patients included, there were 267 DF patients, with their BMI (25.2 vs. 24.2) and waist-to-hip ratio (0.953 vs. 0.941) higher than those of type 2 diabetes mellitus (T2DM) group. The diabetes (15 years vs. 8 years) and hypertension durations (10 years vs. 7.5 years) in DF patients were significantly higher than those in T2DM group. Moreover, the plantar hardness in DF patients was higher than that in T2DM patients. The accuracy and sensitivity of the multi-mode DF prediction model reached 0.95 and 0.9286, respectively.

Conclusion

We established a DF prediction model based on clinical features and objectified tongue color, which showed the unique advantages and important role of objectified tongue demonstration in the DF risk prediction, thus further proving the scientific nature of TCM tongue diagnosis. Based on the qualitative and quantitative fusion data, we combined tongue images with DF indicators to establish a multi-mode DF prediction model, in which tongue demonstration and objectified foot data can correct the subjectivity of prior knowledge. The successful establishment of the feature fusion diagnosis model can demonstrate the clinical practical value of objectified tongue demonstration. According to the results, the model had better performance to distinguish between T2DM and DF, and by comparing the performance of the model with and without tongue images, it was found that the model with tongue images performed better.
Mineral nutrition for Cannabis sativa in the vegetative stage using response surface analysis
Authors: Kpai Patrick Yawo , Adaramola Oluwafemi , Addo Philip Wiredu , MacPherson Sarah , Lefsrud Mark
Published: December 2024

Cannabis cultivated for medical and adult use is a high-value horticultural crop in North America; however, we lack information on its optimal mineral nutrition due to previous legal restrictions. This study evaluated the mineral requirements of nitrogen (N), phosphorus (P), and potassium (K) for cannabis in the vegetative stage using response surface analysis. Plants were cultivated in a hydroponic system with various nutrient solution treatments (mg L-1) of N (132.7, 160, 200, 240, and 267.3), P (9.6, 30, 60, 90, and 110.5), and K (20.8, 60, 117.5, 175, and 214.2) according to a central composite design. Nutrient interactions (N × K, K × P, and N × P × K) had a significant effect on the vegetative growth of the cannabis plants. N × K interaction had a significant effect on leaf mass and stem mass. K × P interaction had a significant effect on dry root mass, leaf mass, stem mass, leaf area, specific leaf area, and chlorophyll a and b contents. N × P × K interaction had a significant effect on root mass, leaf mass, stem mass, stem diameter, leaf area, and chlorophyll a and b contents. The optimum concentrations of total nitrogen, P, K, calcium, and sulfur in the cannabis leaves were 0.54, 0.073, 0.27, 0.56, and 0.38 mg g-1, respectively. An increase in P and K concentrations decreased the magnesium concentration in the leaves, but it was unaffected by the increase in N concentration. The recommended primary macronutrients for cannabis plants in the vegetative stage based on the maximum desirability and nutrient use efficiencies were 160–200 mg L-1 N, 30 mg L-1 P, and 60 mg L-1 K. These findings can offer valuable insight and guidance to growers regarding the mineral requirements for cannabis during the vegetative stage.
Factors predicting the mathematics anxiety of adolescents: a structural equation modeling approach
Authors: Ahmmed Suman , Saha Jashodhan , Tamal Maruf Ahmed , Abdullah Al Mamun Khondaker , Islam Sajani
Published: December 2024

Introduction

Mathematics anxiety (MA) is a distinct negative emotional state or trait that individuals experience when confronted with mathematical problems in everyday life and academic contexts. This study aims to identify the key predictors of MA among secondary-level students in Bangladesh.

Methods

Utilizing a quantitative cross-sectional research design, data were collected from 486 students across 89 institutions. Later, the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM).

Results

The findings revealed that math related negative past experiences (β = 0.241, t = 4.914, p < 0.001) and a perceived lack of teacher support (β = 0.234, t = 5.440, p < 0.001) significantly contribute to students’ low self-efficacy in mathematics. This low self-efficacy is further influenced by negative attitudes and test anxiety, ultimately leading to increased MA (β = 0.694, t = 22.695, p < 0.001). Additionally, cognitive challenges, particularly working memory difficulties, directly affect MA (β = 0.110, t = 2.659, p = 0.008). The study also found that negative attitudes (β = 0.347, t = 9.063, p < 0.001) and test anxiety (β = 0.251, t = 5.913, p < 0.001) independently exacerbate MA. Moreover, a lack of motivation in learning mathematics is directly influenced by this elevated level of MA (β = 0.384, t = 9.939, p < 0.001).

Discussion

Taken together, the study proposes several key recommendations and policy implications to inform the development of synchronized policies by educational authorities aimed at combatting, reducing MA among secondary-level students in Bangladesh and similar contexts.
Linking adolescents’ phubbing to depression: the serial mediating effects of peer relationship quality and psychological need frustration
Authors: Yue Heng , Gao Shiwen , Feng Fei , Wu Feiteng , Bao Hugejiletu , Zhang Xuemin
Published: December 2024

Introduction

Phubbing is defined as a phenomenon in which individuals use their smartphones during conversations with others, focusing on the smartphones and escaping from interpersonal interactions. This phenomenon has been extensively studied in the literature. However, most studies concerning phubbing have focused on understanding its impact on the receivers; few have investigated the consequences of phubbing on the actors themselves. The present study aimed to explore the link between adolescents’ phubbing behavior and depression, focusing on the underlying psychological mechanisms.

Methods

A total of 441 Chinese high school students participated in this study in September 2023. SPSS 25.0 and AMOS 24.0 were used to analyze the data. A hierarchical linear regression analysis was used to test the effect of phubbing on depression. A serial mediation model was applied to assess the roles of peer relationship quality and psychological need frustration in the link between phubbing and depression.

Results

This study found that among adolescents, (1) phubbing had a significant direct association with depression; (2) phubbing had two significant indirect associations with depression, separately mediated via peer relationship quality and psychological need frustration; (3) the direct effect of phubbing on depression was sequentially mediated through peer relationship quality and psychological need frustration; (4) these results were applicable to both male and female adolescents.

Discussion

These findings suggested that interventions aimed at improving peer relationships and addressing psychological need frustration might reduce depressive symptoms associated with phubbing in adolescents.
What drives Chinese youth to use fitness-related health information on social media? An analysis of intrinsic needs, social media algorithms, and source credibility
Authors: Zhang Xin , Tang Qing Qing , Cai Ying Ying
Published: December 2024

Introduction

The role of social media in providing fitness-related health information has been widely discussed; however, there is a notable lack of research on fitness-related health information behaviors among youth within the social media context. This study aims to address this gap by integrating Self-Determination Theory (SDT)-based internal factors and external factors (social media algorithms and source credibility).

Methods

A voluntary sample of 600 participants, aged 15 to 29, was recruited. Data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) to examine the relationships between variables.

Results

The analysis revealed that all three intrinsic needs—competence, autonomy, and relatedness—along with social media algorithms and source credibility, positively correlated with fitness-related health information use behaviors among youth. Additionally, social media algorithms moderated the relationship between the need for relatedness and fitness-related health information behavior.

Discussion

These findings provide new insights into developing health communication strategies on social media, particularly targeted toward the youth demographic, enhancing our understanding of effective health information dissemination in digital environments.
Gut pathobiont enrichment observed in a population predisposed to dementia, type 2 diabetics of Mexican descent living in South Texas
Authors: Matz Lisa M. , Shah Nisarg S. , Porterfield Laura , Stuyck Olivia M. , Jochum Michael D. , Kayed Rakez , Taglialatela Giulio , Urban Randall J. , Buffington Shelly A.
Published: December 2024

Type 2 diabetes (T2D) is a common forerunner of neurodegeneration and accompanying dementia, including Alzheimer’s Disease (AD), yet the mechanisms underlying this comorbidity remain unresolved. Individuals of Mexican descent living in South Texas have increased prevalence of comorbid T2D and early onset AD, despite low incidence of the APOE-ε4 risk variant among the population and an absence of a similar predisposition among relatives residing in Mexico – suggesting a role for environmental factors in coincident T2D and AD susceptibility. We therefore sought to test if differences in gut community structure could be observed in this population prior to any AD diagnosis. Here, in a small clinical trial (ClinicalTrials.gov Identifier NCT04602650), we report evidence for altered gut microbial ecology among subjects of Mexican descent living in South Texas with T2D (sT2D) compared to healthy controls without T2D (HC), despite no differences in expressed dietary preferences. We performed metataxonomic 16S rRNA gene amplicon sequencing of study participant stool samples. Although no significant decrease in microbial alpha diversity was observed between sT2D gut communities versus those of HC, body mass index was identified as a driver of gut community structure. Intriguingly, we observed a significant negative association of Faecalibacterium and Lachnospiraceae with T2D and an increase in the abundance of pathobionts Escherichia-Shigella, Enterobacter, and the erysipelotrichial species Clostridia innocuum among sT2D gut microbiota, as well as differentially abundant gene and metabolic pathways. Future large-scale, longitudinal sequencing efforts of the gut microbiome of individuals with T2D who go on to develop AD might identify key actors among “disease state” microbiota that contribute to increased susceptibility to comorbid dementia. Finally, we identified candidate microbiome-targeted approaches for the treatment of T2D.
Changes in taste perception in elderly population and its potential impact on oral health: a systematic review with meta-analysis
Authors: Alves Larisse Santos Mendonça , Munduri Júlia Maria de Sousa , Mattos Mariana Caldas de Oliveira , Stefani Cristine Miron , Dame-Teixeira Naile
Published: December 2024

Aim

Gustatory function plays a fundamental role in various aspects related to nutrition and health, and the decline in taste perception can result in a series of adverse consequences. This is expected with aging due to a decrease in taste buds and other conditions, leading to systemic and oral diseases. We aimed to compare taste sensitivity in the elderly population vs. adults.

Methods

This systematic review was reported according to PRISMA guidelines. The search was performed in four databases, as well as in grey literature. The risk of bias was assessed using the JBI's critical appraisal tools for observational studies. A meta-analysis with subgroups according to each flavor was conducted to obtain differences in means for adults vs. elderly (random-effects model).

Results

Out of the 5,660 studies retrieved, 18 observational studies were included, representing a total of 1,680 aged 18–59 years and 1,048 aged ≥ 60 years. Elderly individuals need higher concentrations to distinguish flavors compared to adults. In a qualitative analysis, all flavors showed differences between the groups, with sweet flavor being the easiest to recognize and the thresholds between the groups not being highly discrepant. However, in the meta-analysis, statistical differences were observed for sweet, salty, and umami flavors, while there were no statistical differences for sour and bitter flavors between the groups.

Conclusions

There are significant differences for distinguishing sweet, salty, and umami flavors between adults and elderly. Bitter and sour flavors did not exhibit differences in elderly.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=463873, PROSPERO (CRD42023463873).
Online communities as arenas of “amateur expertise”: examples from the social media activity for justice for Roman Zadorov
Authors: Lev-On Azi
Published: December 2024

Introduction

This study examines online communities as arenas where diverse forms of expertise converge to influence discourse and public opinion. Using the case of social media activism advocating for justice in the wrongful conviction of Roman Zadorov for the murder of Tair Rada, it highlights how these communities serve as platforms for “professional amateurs” and demonstrates their similarities and differences from participants in the formal legal arena.

Methods

The study employs a netnographic approach to analyze seven years of social media activity across 15 Facebook groups comprising over 300,000 members. Data collection included participant observation, interviews with 25 group administrators, and thematic content analysis of posts and interactions. This methodological triangulation provides a comprehensive understanding of the discourse and dynamics within these activist communities.

Results

Six categories of experts were identified in the online discourse: 1. Court-admissible experts, including People directly connected to the case, people who are knowledgeable about the involved parties and the surrounding area, expert witnesses who are professionals testifying based on their field-specific expertise, and circumstantial witnesses who have experienced relevant events firsthand. 2. Non-court-admissible experts, including people with deep, self-taught expertise and people relying on nonrational sources, such as supernatural insights. The findings highlight the unique character of online activism as a dialogic space where conventional and unconventional forms of expertise coexist, contributing to public narratives around justice.

Discussion

The study offers a novel conceptualization of online communities as platforms for expert-driven discourse. It underscores the importance of “pro-am” expertise and symbolic capital in shaping public understanding of contentious issues. While focused on a specific legal case, the study provides broader insights into the dynamics of expertise in online activism, emphasizing the duality of court-admissible and non-court-admissible expertise. Future research should explore these dynamics across varied contexts to further understand the role of online communities in social discourse and activism.
Photoplethysmography-based atrial fibrillation detection in patients after crytpogenic stroke
Authors: Huntelaar Marthe J. , Selder Jasper L. , Hopman Luuk H. G. A. , Visser Marieke C. , Allaart Cornelis P.
Published: December 2024

Introduction

Undiagnosed atrial fibrillation (AF) is a potential underlying cause of cryptogenic stroke. Prolonged screening for AF using a photoplethysmography (PPG) smartwatch might offer a solution for detecting AF in patients with cryptogenic stroke. In this study, we aim to investigate this strategy by comparing AF detection rates using a PPG-smartwatch and 48 h Holter monitor.

Methods

From December 2019, patients with cryptogenic stroke were included to undergo 28 days of semi-continuous AF monitoring using a Fitbit smartwatch with a PPG-based FibriCheck algorithm, with simultaneous Holter monitoring during the first 48 h. From April 2021, a detailed screening log was installed to characterize potential study participants.

Results

After logged screening of 1,312 patients, enrollment was prematurely halted due to slower-than-expected inclusion rates. 40.8% of the screened patients had cryptogenic stroke, of which 92.5% were non-eligible for inclusion due to logistical, technological, and study-related challenges. Of the 43 patients enrolled, 37 completed PPG monitoring using a smartwatch. 43% of patients had PPG-detected AF in the 28 days after cryptogenic stroke. During the first 48 h, PPG-based screening detected AF in 2 patients, whereas no AF was detected using concurrent Holter monitoring.

Conclusion

The PPG-smartwatch detected AF in 43% of the participants after cryptogenic stroke. However, discrepancies with concurrent Holter monitoring raise major concerns about the accuracy of the detected PPG-based AF. Moreover, the feasibility of a PPG-based screening strategy is limited due to logistical and technological challenges, partly inherent to cryptogenic stroke patients.
Quantitative analysis of iridocorneal angle and ciliary cleft structures in canine eyes using ultrasound biomicroscopy
Authors: Kim Donghee , Kwon Hyun , Hwang Jiyi , Jung Ji Seung , Park Kyung-Mee
Published: December 2024

Introduction

This study aimed to examine the relationship between the relative opening of the ICA (RO-ICA) and the structure of the ciliary cleft (CC) using Ultrasound Biomicroscopy (UBM).

Materials and methods

Clinical data from 31 eyes of 17 dogs at the Veterinary Teaching Hospital of Chungbuk National University, Korea, were analyzed. RO-ICA was categorized as “Slightly Narrow”, “Narrow”, “Open”, and “Wide Open”, with eyes further grouped into “Narrow” (including Slightly Narrow and Narrow) and “Open” (including Open and Wide Open) for analysis. Statistical methods, including linear regression and average comparisons between groups, were employed to explore correlations between RO-ICA and parameters such as ICA, CC width (CCW), CC length (CCL), and CC area (CCA).

Results

The distribution showed “Narrow” (3 eyes, 9.7%), “Slightly Narrow” (13 eyes, 41.9%), and “Open” (14 eyes, 45.2%) as the predominant categories. In the Open group, CCL and CCA were significantly larger compared to the Narrow group. A positive correlation was observed between RO-ICA and CCL, and CCA across all groups. Notably, in the Narrow group, RO-ICA demonstrated a particularly significant positive correlation with all assessed parameters, including ICA, CCW, CCL, and CCA. However, no significant correlation was observed between RO-ICA and the assessed parameters in the Open group. In conclusion, while a smaller RO-ICA generally correlates with a smaller CC, a larger RO-ICA does not guarantee a larger CC.

Conclusion

Additional UBM examinations are recommended for comprehensive evaluations, particularly in cases where gonioscopy indicates an open iridocorneal angle.
Research on the Cutting Control Method of a Shield-Type Cutting Robot
Authors: Ma Hongwei , Xue Limeng , Wang Chuanwei , Cui Wenda
Published: December 2024

With problems of low cutting efficiency, poor forming quality, and low control accuracy in large-section semi-coal rock roadway tunneling, comprehensive coal tunneling seriously lags behind fully mechanized mining. A fuzzy PID control method was proposed, taking the cutting robot in a shield-type tunneling system as the research object. Using mathematical analysis and other methods, a kinematic model of the cutting robot was established, and the pose transformation matrix of the cutting robot during the cutting process was obtained. A limit model for the motion space of the cutting robot cutting drum was established, and the motion relationship between the driving cylinder and the cutting drum was obtained. A fuzzy PID cutting robot control scheme was designed. The feasibility of the model was validated by simulation methods, and the correctness of the model and simulation was verified through on-site experiments. The results indicate that the established cutting robot model is correct, and the proposed fuzzy PID control method for the cutting robot is feasible. The maximum error of the center control of the cutting drum was 5.5 mm, and the average date was 0.89 mm, which was far less than the standard of 50 mm for engineering of the cross-section cutting of the roadway. This study enriches the control theory of shield-type cutting robots by improving control accuracy, enhancing the cutting efficiency of large-section semi-coal rock tunnels, ensuring the quality of section forming, and narrowing the gap between comprehensive coal tunneling and fully mechanized mining.
Valuation Standards and Estimation Accuracy in the Appraisal of a Building Housing Vertical Farming
Authors: Cucuzza Giuseppe
Published: December 2024

The possibility of carrying out the cultivation of numerous plant species in vertical farming highlights the need for policy makers to determine the cadastral value of the buildings in which these production activities are carried out. In this regard, estimates of buildings intended to host vertical farming are illustrated according to the procedure established by Italian cadastral legislation, which establishes that the fiscal value of buildings intended for vertical farming must be estimated through their market value. Appraisals is carried out using the direct capitalization method but follow two different approaches. One approach is based on the expertise of the appraiser, who acts by making assessments through subjective and arbitrary choices. The other approach is based on the use of best practices, as indicated by international evaluation standards that follow appropriate methodologies. Our comparison between the two approaches focuses on determining the capitalization rate, which determines the estimated value. The market value estimated using the procedures recognized by the valuation standards appears to be more valid methodologically and more reliable. This is demonstrated by applying yield capitalization to the same income cash flow in both formulations. Additionally, through the identification of the conversion cash flow, useful details on financial flow can be obtained and used to determine the value. The obtained results may be useful for public operators for the purposes of determining the value of assets for tax purposes. More generally, they are also useful from a methodological and application point of view in real estate valuation and support the development of tools for making efficient investment choices.
Novel Genomic Regions and Gene Models Controlling Copper and Cadmium Stress Tolerance in Wheat Seedlings
Authors: Mourad Amira M. I. , Baghdady Sara , Abdel-Aleem Fatma Al-Zahraa M. , Jazeri Randa M. , Börner Andreas
Published: December 2024

Heavy metal pollution is a global issue that affects plant growth and human health. Copper and cadmium are two significant heavy metals that have become more concentrated in many soils. These metals are taken up by many plants, including wheat, and can cause various diseases in humans. The most effective way to mitigate the harmful effects of heavy metals is to grow tolerant wheat genotypes. In the current study, two different pot experiments were conducted to understand the genetic control of copper and cadmium tolerance in wheat seedlings. Two populations were used in this study, consisting of 92 genotypes for the copper experiment and 73 genotypes for the cadmium experiment. In both experiments, a replicated complete block design with three replications was used. Highly significant differences were found between the tested genotypes for all studied traits in both metals, except for root weight and the ratio between shoot weight and root weight under cadmium contamination. Single-marker analysis was performed for all significant traits, and a total of 265 and 381 markers were found to be significantly associated with seedling traits under copper and cadmium conditions, respectively. Of these markers, only eight were commonly associated with the tolerance to both metals. These markers were located within five different gene models that were functionally annotated to control heavy metal tolerance. Gene enrichment of the five identified genes revealed two key genes that significantly influenced eight biological processes, six molecular functions, and three Kyoto Ecyclopedia of Genes and Genomes (KEGG) pathways involved in heavy metal tolerance. The sources of the eight markers and their associated genes were identified in twelve genotypes, including one Egyptian and one Kazakhstani genotype, which showed superior responses to copper and cadmium, respectively. These genes and the genotypes carrying them are crucial for future breeding programs aimed at enhancing heavy metal tolerance in wheat.
Bioorganic Fertilizer Can Improve Potato Yield by Replacing Fertilizer with Isonitrogenous Content to Improve Microbial Community Composition
Authors: Tan Xuelian , Hu Xinyuan , Liu Xiaowei , Zhang Pingliang , Yang Sicun , Xia Fangqin
Published: December 2024

The application of bio-organic fertilizers can significantly improve soil fertility and crop yield. This study explored how replacing bio-organic fertilizer with equal nitrogen affected potato quality, yield, and soil microbial diversity after a 4-year positioning experiment. The results showed that the application of bio-organic fertilizer instead of 70% chemical fertilizer could significantly increase potato yield by 10.4–155.4% but had no significant effect on quality. Furthermore, replacing chemical fertilizers with bio-organic fertilizers could decrease the number of soil bacterial species, but it did not influence the diversity of soil bacterial and fungal communities. At the phylum level, bio-organic fertilizer application was directly proportional to the abundance of Gemmatimonadota and Ascomycota, but inversely proportional to the abundance of Acidobacteriota and Basidiomycota. At the genus level, Longimicrobiaceae, Lysobacter, and Nocardioides were higher, whereas Vicinamibacteraceae, Gaiella, and Solirubrobacter were lower. Arthrobacter, Parcubacteria, Lautropia, Luteimonas, and Brunneochlamydosporium were the signatures of bio-organic fertilizer treatment and were positively correlated with the potato yield. Thus, in dry climates with little rainfall, partial substitution of chemical fertilizer with higher bioorganic fertilizers can alter the composition of microbial communities in potato rhizosphere soil, thus significantly improving potato yield.
Evaluation of the Breed Composition of Pork via Population Structure Analysis in Pigs
Authors: Lin Qing , Diao Shuqi , Chen Xinyou , Du Jinshi , Wu Jiaxuan , Zhang Xinshuo , Liu Xiaohong , Li Jiaqi , Zhang Zhe
Published: December 2024

The quality of pork meat directly influences the price and consumption. The genetic improvement of pigs has mainly focused on high productive efficiency, which has resulted in poor meat quality. Crossbreeds containing commercial and indigenous breeds could improve the meat quality, but identifying breed composition was difficult because of the lack of an ancestry reference panel. Therefore, we first constructed an abundant reference panel and convenient pipeline to identify ancestry/breed composition. The ancestry reference panel consisted of 517 reliable individuals, including three commercial breeds (Duroc, Landrace, and Yorkshire) and 38 indigenous Chinese breeds. The nature of the reference panel showed that the European domestic breed (EUD) and Asian domestic breed (ASD) were distinctly divided into two clusters. The evaluation of ancestry identification revealed that the reference panel performed well in identifying EUD and ASD ancestry proportions for commercial breeds, indigenous breeds, and crossbreeds. In addition, the ancestry reference panel also performed excellently in identifying breed composition for 3 commercial and 38 indigenous breeds. Specifically, the reference panel showed the outstanding identification of breed composition for crossbred individuals. These results suggested that the ancestry reference panel and convenient pipeline played a good role in identifying breed composition for pigs.
An Innovative Adaptive-Dimension Accordion Honeycomb for Circumferential Deformation
Authors: Zhang Hairui , Li Xianhang , Yang Jiayuan , Yang Jingsong
Published: December 2024

This work presents a novel variable-dimension accordion honeycomb structure capable of achieving circumferential deformation, characterized by its uneven structural stiffness properties. Unlike current accordion honeycombs, our design employs a variable-dimension honeycomb configuration defined in the polar coordinate system, using independent shape and size parameters. We derive the circumferential stiffness of both the unit cell and the honeycomb through analytical and theoretical approaches based on the series–parallel mechanism (SPM), validated using finite element modeling (FEM). We evaluate the influence of unit cell angles and the number of units along orthogonal directions on circumferential stiffness, finding excellent agreement between theoretical and numerical models. Additionally, the results demonstrate that the novel honeycomb maintains a zero Poisson ratio during circumferential deformation, with the SPM remaining unaffected by geometric nonlinearity.
Designing Traffic Light Signals to Ease Congestion Caused by Traffic Accidents Using Timed Petri Net
Authors: Row Ter-Chan , Lee Shih-Chih , Cheng Jui-Fu
Published: December 2024

This study develops a timed Petri net (TPN)-based controller to mitigate traffic congestion resulting from sudden accidents by adapting traffic light sequences in real-time. The traditional traffic light signal (TLS) sequences are ineffective in resolving congestion from such accidents. To mitigate congestion, we propose immediately changing the sequence of TLSs at the traffic accident scene. Traffic accidents are categorized into three types (A-type, B-type and C-type) based on the direction in which they occur, and their traffic light sequences are designed according to their specific characteristics. By analyzing the timing of signal changes, ours proves to be more effective than traditional sequences in relieving traffic congestion.
Do Different Next-to-Skin Garments Change Thermal Sensation, Jump Height and Landing Knee Valgus After Cold Exposure?
Authors: Kasehagen Ben , Morris Susan , Netto Kevin
Published: December 2024

Exposure to the cold can negatively affect muscle performance. This study compared the effects of two different full-length, lower body, next-to-skin garments on thermal sensation, countermovement jump (CMJ) height and knee frontal plane angle upon landing following cold exposure against a control. After familiarisation, 13 male and 11 female recreationally active adults attended three separate laboratory testing sessions where a randomly assigned next-to-skin garment was used (compression, thermal and control (shorts)). A pre- and post-testing protocol comprising CMJ and drop landings interspersed with a sedentary cooling period of 40 min at 0 °C was adopted. High-speed motion analysis and subjective ratings of thermal sensation were recorded. Exposure to the cold significantly reduced thermal sensation (p < 0.001) scores and CMJ height (p < 0.001). Only female participants felt significantly warmer (p ≤ 0.009) in the next-to-skin garments. Losses in CMJ height were significantly reduced by the next-to-skin garments compared to the control with the thermal garment producing better results. There was little change in knee frontal plane angle upon landing in all the garments tested. Ambient cooling at 0 °C for 40 min had a significant effect on CMJ height and thermal sensation but not knee valgus upon landing. Participants in winter sports should consider next-to-skin garments in conjunction with proper warm-ups and re-warming techniques to protect themselves from the negative effects of the cold.
Response Characteristics of Anchored Surrounding Rock in Roadways Under the Influence of Vibrational Waves
Authors: Wang Hongsheng , Wei Siyuan , Zhu Guang’an , Yuan Yuxin , Guo Weibin
Published: December 2024

The vibration waves generated by pressure fluctuations can substantially impair and jeopardize the structural integrity of roadway anchorage within adjacent rock formations, thereby presenting a significant risk to the safety and operational efficiency of mining activities. In order to address this issue and elucidate the response characteristics of roadway-anchored surrounding rock subjected to P-wave and S-wave influences, this study employs a roadway that is experiencing actual impact instability within a mine situated in Xinjiang as the engineering context. The synchrosqueezing wavelet transform, enhanced by a Butterworth filter, is utilized to isolate and filter seismic wave data, thereby facilitating the extraction of time-frequency signals corresponding to both P-waves and S-waves. Subsequently, a dynamic numerical model is developed to simulate the propagation of these vibration waves. An analysis of the dynamic behavior and response characteristics of P-waves and S-waves is performed, focusing on their interaction with roadway anchoring within the surrounding rock at various stages of propagation. The results indicate that weak rock and plastic zones can absorb vibrational waves, with S-waves exhibiting a stronger absorption effect than P-waves. S-waves contribute to increased stress and displacement in the surrounding rock, leading to the accumulation of elastic energy and an expansion of the plastic zone. The rapid fluctuations in the axial force of bolts along the roadway, caused by S-waves, can result in instability within the roadway. The research findings possess considerable reference value and practical applicability for the design of anti-scour support systems in roadways.
Effects of Different Intensities of Post-Activation Performance Enhancement Protocols on Repeated Sprint Ability in Male Soccer Players: A Randomized Crossover Trial
Authors: Akgül Mustafa Şakir , Tohănean Dragoș Ioan , Akçay Neslihan , Păun Laurian Ioan , Çetin Tuğba , Uysal Hüseyin Şahin , Alexe Cristina Ioana
Published: December 2024

(1) Background: Enhancing repeated sprint ability (RSA) is critical to soccer performance. Post-activation performance enhancement (PAPE) protocols, particularly those utilizing heavy resistance preloading, have shown promise in improving RSA. Yet, the optimal preloading intensity for amateur players is still unknown. This study investigated the effects of two PAPE protocols using different preloading intensities (85% and 90% of 1 RM back squat) on RSA. (2) Methods: A double-blind, randomized, two-period crossover design was used, and 18 amateur male players were included in this study. RSA was assessed using a 6 × 35 m sprint protocol with 10 s rest intervals (RAST). (3) Results: While the main effect of time significantly (p = 0.01, η2 = 0.71) influenced performance decline across all groups, there was no significant (p = 0.65, η2 = 0.01) interaction between time and condition. Individual responses to PAPE varied, highlighting the importance of individual differences. Interestingly, the BS85% group exhibited a less pronounced decline in performance compared to the control group, while the BS90% group only showed significant differences in three sprint levels. (4) Conclusions: Our findings suggest that a lower preload of 85% of 1 RM may be as adequate as a higher preload of 90% of 1 RM in enhancing RSA in amateur soccer players. These results may indicate a potential fatigue-delaying effect of PAPE protocols and emphasize the importance of individualized approaches for optimizing PAPE strategies.
Simulation of Fidelity in Entanglement-Based Networks with Repeater Chains
Authors: Pérez Castro David , Fernández Vilas Ana , Fernández Veiga Manuel , Blanco Rodríguez Mateo , Díaz Redondo Rebeca P.
Published: December 2024

We implement a set of simulation experiments in NetSquid specifically designed to estimate the end-to-end fidelity across a path of quantum repeaters or quantum switches. The switch model includes several generalizations that are not currently available in other tools and are useful for gaining insight into practical and realistic quantum network engineering problems: an arbitrary number of memory registers at the switches, simplicity in including entanglement distillation mechanisms, arbitrary switching topologies, and routing protocols. An illustrative case study is presented, namely a comparison in terms of performance between a repeater chain where repeaters can only swap sequentially and a single switch equipped with multiple memory registers that is able to handle multiple swapping requests.
Fundamental Thermodynamic Aspects for the Effective Dispersion of Carbon Nanotubes and Improve Performance Grade of Bitumen
Authors: Lapidus Azariy , Topchiy Dmitriy , Obukhova Svetlana
Published: December 2024

The application of carbon nanotubes to enhance bitumen properties is relevant due to the need to increase the durability of asphalt concrete pavements and reduce maintenance costs. Key areas requiring further study include the processes during ultrasonic dispersion, the selection of the optimal medium, and the stability of the resulting dispersions. This study examines dispersions containing multi-walled carbon nanotubes (MWCNTs) Taunit M (from 5·10−4 to 5·10−2%) and various hydrocarbon plasticizers. For the first time, the change in Gibbs free energy, enthalpy (interaction energy), and mixing and disordering entropy was calculated based on experimental data (surface tension, average cubic diameter of MWCNTs, molecular mass, etc.). The data were compared with the storage stability of polymer-modified binders (PMBs). It was found that mixing entropy plays a key role in forming thermodynamically stable dispersions, while the contribution of disordering entropy is minimal. High dispersion enthalpy of MWCNTs can reduce dispersion stability at high concentrations despite entropy growth. Systems with selective purification extracts showed the best PMB stability despite thermodynamic instability. The property changes after 3 days at 180 °C were no more than 5%. This suggests structural changes from component interactions are critical, highlighting the need for an integrated approach considering both thermodynamic and macroscopic properties.
RLUNet: Overexposure-Content-Recovery-Based Single HDR Image Reconstruction with the Imaging Pipeline Principle
Authors: Zheng Yiru , Wang Wei , Wang Xiao , Yuan Xin
Published: December 2024

With the popularity of High Dynamic Range (HDR) display technology, consumer demand for HDR images is increasing. Since HDR cameras are expensive, reconstructing High Dynamic Range (HDR) images from traditional Low Dynamic Range (LDR) images is crucial. However, existing HDR image reconstruction algorithms often fail to recover fine details and do not adequately address the fundamental principles of the LDR imaging pipeline. To overcome these limitations, the Reversing Lossy UNet (RLUNet) has been proposed, aiming to effectively balance dynamic range expansion and recover overexposed areas through a deeper understanding of LDR image pipeline principles. The RLUNet model comprises the Reverse Lossy Network, which is designed according to the LDR–HDR framework and focuses on reconstructing HDR images by recovering overexposed regions, dequantizing, linearizing the mapping, and suppressing compression artifacts. This framework, grounded in the principles of the LDR imaging pipeline, is designed to reverse the operations involved in lossy image operations. Furthermore, the integration of the Texture Filling Module (TFM) block with the Recovery of Overexposed Regions (ROR) module in the RLUNet model enhances the visual performance and detail texture of the overexposed areas in the reconstructed HDR image. The experiments demonstrate that the proposed RLUNet model outperforms various state-of-the-art methods on different testsets.