bluuebunny/crossref_metadata_2025 huggingface dataset:
The dose-response effect of aerobic exercise on inflammation in colon cancer survivors
Authors: Brown Justin C. , Compton Stephanie L.E. , Meyerhardt Jeffrey A. , Spielmann Guillaume , Yang Shengping
Published: December 2023

Background

Physical activity after surgical resection for colon cancer is associated with significantly longer disease-free survival. Inflammation is hypothesized to mediate the association between physical activity and disease-free survival in colon cancer.

Methods

In this exploratory analysis of a randomized dose-response trial, 39 colon cancer survivors who completed standard therapy were stratified by cancer stage and randomized in a 1:1:1 ratio to one of three treatment groups for 24 weeks of usual-care control, 150 min/wk of moderate-intensity aerobic exercise (low-dose), or 300 min/wk of moderate-intensity aerobic exercise (high-dose). Inflammation outcomes included high-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL6), and soluble tumor necrosis factor-alpha receptor 2 (sTNFαR2). Mixed models for repeated measures were used to test the hypothesis that exercise was associated with dose-response reductions in inflammation; exploratory analyses examined treatment effects by cancer stage.

Results

In the overall population, aerobic exercise was not associated with dose-response reductions in hs-CRP, IL6, or sTNFαR2. Cancer stage modified the association between randomized group and hs-CRP (P=0.022) and IL6 (P<0.001) but not sTNFαR2 (P=0.39). In stage I-II disease, compared to control, exercise was not associated with inflammation outcomes. In stage III disease, compared to control, low-dose exercise reduced hs-CRP: −35.4% (95% CI: −70.1, −0.7) and IL6: −29.6% (95% CI: −58.4, −0.8) but not sTNFαR2: 2.7% (95% CI: sTNFαR2: −15.7, 21.1); high-dose exercise was not associated with inflammation outcomes in stage III disease.

Conclusion

This exploratory analysis offers preliminary data to support the hypothesis that inflammation may mediate the association between physical activity and disease-free survival in colon cancer.

Clinical trial registration

clinicaltrials.gov, identifier NCT02250053.
Efficacy and safety of combination therapy with pirfenidone and nintedanib in patients with idiopathic pulmonary fibrosis
Authors: Huh Jin-Young , Lee Jae Ha , Song Jin Woo
Published: December 2023

Background: Recent studies have suggested that combination therapy with pirfenidone and nintedanib is safe and tolerable in patients with idiopathic pulmonary fibrosis (IPF). However, data from real-world practice are limited. Thus, we aimed to investigate the safety and efficacy of this combination therapy in patients with IPF in a real-world setting.

Methods: A multicenter retrospective cohort study was conducted to investigate the safety and efficacy of combination therapy with pirfenidone and nintedanib in 45 patients with IPF. Incidences of adverse events and rates of lung function decline were compared before and after the combination therapy. Propensity score matching was performed to compare the outcomes between the combination and monotherapy groups.

Results: The mean age of the patients was 68.8 years, and 82.2% of them were male. The median follow-up duration after combination therapy was 12.1 months. The majority of the patients (97.8%) received nintedanib as an add-on to pirfenidone. The most common adverse events after the combination therapy were diarrhea and anorexia. Pirfenidone or nintedanib was stopped in 12 patients owing to gastrointestinal AEs, lung transplantation, or financial problems. In patients with serial lung function data, the rate of decline in the forced vital capacity was significantly reduced after the combination therapy. In the matched analysis, the combination group had a higher incidence of diarrhea than the monotherapy group without an increase in serious adverse events; however, the two groups had similar changes in forced vital capacity (FVC).

Conclusion: The combination of pirfenidone and nintedanib in patients with IPF has the potential to reduce the rate of FVC decline. However, in the matched analysis, FVC decline was comparable between the patients on combination therapy and those on monotherapy. The incidence of certain adverse events, particularly diarrhea, was higher with combination therapy, but serious adverse events were similar between the groups.
Research progress of traditional Chinese medicine in improving hepatic fibrosis based on inhibiting pathological angiogenesis
Authors: Li Zhen , Zhu Junfeng , Ouyang Hao
Published: December 2023

Hepatic fibrosis is the formation of scar tissue in the liver. This scar tissue replaces healthy liver tissue and can lead to liver dysfunction and failure if left untreated. It is usually caused by chronic liver disease, such as hepatitis B or C, alcohol abuse, or non-alcoholic fatty liver disease. Pathological angiogenesis plays a crucial role in the development of hepatic fibrosis by promoting the growth of new blood vessels in the liver. These new vessels increase blood flow to the damaged areas of the liver, which triggers the activation of hepatic stellate cells (HSCs). HSCs are responsible for producing excess collagen and other extracellular matrix proteins that contribute to the development of fibrosis. Pathological angiogenesis plays a crucial role in the development of hepatic fibrosis by promoting the growth of new blood vessels in the liver. These new vessels increase blood flow to the damaged areas of the liver, which triggers the activation of HSCs. HSCs are responsible for producing excess collagen and other extracellular matrix proteins that contribute to the development of fibrosis. Traditional Chinese medicine (TCM) has been found to target pathological angiogenesis, thereby providing a potential treatment option for hepatic fibrosis. Several studies have demonstrated that TCM exhibits anti-angiogenic effects by inhibiting the production of pro-angiogenic factors, such as vascular endothelial growth factor and angiopoietin-2, and by reducing the proliferation of endothelial cells. Reviewing and highlighting the unique TCM recognition of treating hepatic fibrosis by targeting pathological angiogenesis may shed light on future hepatic fibrosis research.
Hybrid treatment verification based on prompt gamma rays and fast neutrons: multivariate modelling for proton range determination
Authors: Schellhammer Sonja M. , Meric Ilker , Löck Steffen , Kögler Toni
Published: December 2023

Robust and fast in vivo treatment verification is expected to increase the clinical efficacy of proton therapy. The combined detection of prompt gamma rays and neutrons has recently been proposed for this purpose and shown to increase the monitoring accuracy. However, the potential of this technique is not fully exploited yet since the proton range reconstruction relies only on a simple landmark of the particle production distributions. Here, we apply machine learning based feature selection and multivariate modelling to improve the range reconstruction accuracy of the system in an exemplary lung cancer case in silico. We show that the mean reconstruction error of this technique is reduced by 30%–50% to a root mean squared error per spot of 0.4, 1.0, and 1.9 mm for pencil beam scanning spot intensities of 108, 107, and 106 initial protons, respectively. The best model performance is reached when combining distribution features of both gamma rays and neutrons. This confirms the advantage of hybrid gamma/neutron imaging over a single-particle approach in the presented setup and increases the potential of this system to be applied clinically for proton therapy treatment verification.
Predation evaluation of the green lacewing, Chrysopa pallens on the pink tea mite pest, Acaphylla theae (Watt) (Acarina: Eriophyidae)
Authors: Wang Qian , Zhang Meng , Guo Qiuyu , Wu Chenxin , Sun Liang
Published: December 2023

A better understanding of predator-prey interactions is crucial for the development of biological control strategies. The green lacewing, Chrysopa pallens, is a well-known generalist predator and reportedly functions as one of the most important biological control agents of insect pests. However, information regarding C. pallens’ predation on tea plant pests, particularly notorious tea mites, remains largely unknown. In this study, we focused on the predator-prey relationship between C. pallens and an important tea mite pest, Acaphylla theae. We designed species-specific primers for the detection of A. theae DNA and established a PCR-based DNA gut content analysis assay. These results demonstrated that the primers were A. theae-specific and suitable for its molecular identification. The laboratory feeding experiment showed that the detectability success (DS50) of A. theae DNA remaining in C. pallens’ guts was 2.9 h. We then performed a molecular detection of field predation, and achieved a 23.53% positive detection rate of A. theae DNA in the guts of field-collected C. pallens. This, for the first time, provides direct evidence that C. pallens can prey on A. theae in tea plantations. Finally, we tested the prey preference and estimated the predation ability of C. pallens on different developmental stages of A. theae. The results revealed that C. pallens had no significant preference for different developmental stages of A. theae. The functional responses of C. pallens’ predation on different densities of A. theae at different developmental stages followed a Type II Holling model. The initial attack rate (a’) ranged from 0.735 to 0.858 and the handling time (Th) was approximately 0.01. This study is the first to demonstrate the trophic interactions between C. pallens and A. theae and provides evidence for the development of biological control strategies against A. theae using C. pallens as a candidate predator.
Microbial bioformulation: a microbial assisted biostimulating fertilization technique for sustainable agriculture
Authors: Khan Amir , Singh Ajay Veer , Gautam Shiv Shanker , Agarwal Aparna , Punetha Arjita , Upadhayay Viabhav Kumar , Kukreti Bharti , Bundela Vindhya , Jugran Arun Kumar , Goel Reeta
Published: December 2023

Addressing the pressing issues of increased food demand, declining crop productivity under varying agroclimatic conditions, and the deteriorating soil health resulting from the overuse of agricultural chemicals, requires innovative and effective strategies for the present era. Microbial bioformulation technology is a revolutionary, and eco-friendly alternative to agrochemicals that paves the way for sustainable agriculture. This technology harnesses the power of potential microbial strains and their cell-free filtrate possessing specific properties, such as phosphorus, potassium, and zinc solubilization, nitrogen fixation, siderophore production, and pathogen protection. The application of microbial bioformulations offers several remarkable advantages, including its sustainable nature, plant probiotic properties, and long-term viability, positioning it as a promising technology for the future of agriculture. To maintain the survival and viability of microbial strains, diverse carrier materials are employed to provide essential nourishment and support. Various carrier materials with their unique pros and cons are available, and choosing the most appropriate one is a key consideration, as it substantially extends the shelf life of microbial cells and maintains the overall quality of the bioinoculants. An exemplary modern bioformulation technology involves immobilizing microbial cells and utilizing cell-free filters to preserve the efficacy of bioinoculants, showcasing cutting-edge progress in this field. Moreover, the effective delivery of bioformulations in agricultural fields is another critical aspect to improve their overall efficiency. Proper and suitable application of microbial formulations is essential to boost soil fertility, preserve the soil’s microbial ecology, enhance soil nutrition, and support crop physiological and biochemical processes, leading to increased yields in a sustainable manner while reducing reliance on expensive and toxic agrochemicals. This manuscript centers on exploring microbial bioformulations and their carrier materials, providing insights into the selection criteria, the development process of bioformulations, precautions, and best practices for various agricultural lands. The potential of bioformulations in promoting plant growth and defense against pathogens and diseases, while addressing biosafety concerns, is also a focal point of this study.
Genome-wide dissection of AT-hook motif nuclear-localized gene family and their expression profiling for drought and salt stress in rice (Oryza sativa)
Authors: Ambadas Dhanorkar A. , Singh Ashutosh , Jha Ratnesh Kumar , Chauhan Divya , B. Santhosh , Sharma Vinay Kumar
Published: December 2023

AT-hook motif nuclear localized (AHL) genes are functionally very less explored, but their nature is very diverse. In the present study, we identified 20 AHL genes in rice. Phylogenetic analyses and evolutionary classification of AHL genes showed that they are conserved in plants, but the number of genes is still expanding in different crops and regulating new biological functions. Gene structure analysis showed that OsAHLs are with and without intron types of genes, suggesting that AHL genes added intron during evolution for neofunctionalization. The cis analysis of OsAHL genes suggested its motif diversity. In order to understand the function, 19 transcriptomes were identified from various tissues and different developmental stages of rice, and they were divided into eight groups by different temporal and spatial expression. Through co-expression analysis, 11 OsAHLs and 13 novel genes with intricate networks that control many biological pathways in rice were identified. The interactions of OsAHL proteins showed that they co-regulate important processes including flowering, reproductive organ development, and photosynthesis activity. The functionality of all 20 genes of OsAHL for drought and salt stress in leaf tissues of two contrasting genotypes (IR64 and NL44) of rice was studied using qRT-PCR. The result clearly showed significant upregulation of OsAHL genes under drought and salt conditions over the control. The differential expression between IR64 and NL44 showed a significant upregulation of OsAHL genes in NL44 as compared to the IR64 genotype under drought and salt stress. Overall, the result indicates that AHL genes might be involved in mediating drought and salt-signaling transduction pathways. The drought- and salt-tolerant nature of NL44 was also confirmed by expression profiling.
The advent of plant cells in bioreactors
Authors: Verdú-Navarro Fuensanta , Moreno-Cid Juan A. , Weiss Julia , Egea-Cortines Marcos
Published: December 2023

Ever since agriculture started, plants have been bred to obtain better yields, better fruits, or sustainable products under uncertain biotic and abiotic conditions. However, a new way to obtain products from plant cells emerged with the development of recombinant DNA technologies. This led to the possibility of producing exogenous molecules in plants. Furthermore, plant chemodiversity has been the main source of pharmacological molecules, opening a field of plant biotechnology directed to produce high quality plant metabolites. The need for different products by the pharma, cosmetics agriculture and food industry has pushed again to develop new procedures. These include cell production in bioreactors. While plant tissue and cell culture are an established technology, beginning over a hundred years ago, plant cell cultures have shown little impact in biotechnology projects, compared to bacterial, yeasts or animal cells. In this review we address the different types of bioreactors that are currently used for plant cell production and their usage for quality biomolecule production. We make an overview of Nicotiana tabacum, Nicotiana benthamiana, Oryza sativa, Daucus carota, Vitis vinifera and Physcomitrium patens as well-established models for plant cell culture, and some species used to obtain important metabolites, with an insight into the type of bioreactor and production protocols.
Identities in flux? National and other changing identities during the COVID-19 pandemic
Authors: Stevens Daniel , Banducci Susan , Horvath Laszlo
Published: December 2023

Social identities, such as identification with the nation, are regarded as core variables in explanations of political attitudes and behaviors. In these accounts, increases in the importance of an identity such as “Englishness” are often seen to be accompanied by decreases in the importance of other, more inclusive, identities such as “British” or “European.” At the same time, increases in exclusive national identities like “Englishness” present challenges to democratic states because they are associated with preferences such as support for Brexit and intolerance of outgroups. Yet we know comparatively little about the relative importance to individuals of different social identities, the extent of changes in the strength of those social identities with contextual shifts, the interrelationships between different social identities, and the influences on different social identities. In this paper, we address each of these questions using a five-wave online panel study administered over two years of the COVID-19 pandemic in England from 2020 to 2022, in which we asked about the importance of eight identities—Europeanness, Britishness, Englishness, the local area, gender, age, race/ethnicity, and social class. We show that national identity is consistently less important to individuals than the social identities of gender and age, though more important than race/ethnicity and social class. We also show that there were general increases in identification with almost all these groups during COVID. We consider why and discuss the implications for our understanding of increases in the strength of national identity as a challenge to democratic states.
The impact of internet adaptability on internet addiction: the serial mediation effect of meaning in life and anxiety
Authors: Wang Weijun , Ma Shihao , Han Xinheng , Zhao Xin
Published: December 2023

Introduction

Previous research has demonstrated the significant role of individual characteristics in adolescent Internet addiction. In line with this, our previous research has introduced the concept of “Internet adaptability” as a potential factor that enables individuals to effectively cope with the negative consequences of Internet use. However, further investigation is required to understand the impact of Internet adaptability on problematic Internet use, including Internet addiction, as well as its associated internal psychological factors. To address this research gap, the present study aims to examine the impact of Internet adaptability on internet addiction and explore the mediating roles of meaning in life and anxiety within this relationship.

Methods

A questionnaire was used to survey 2,144 adolescents from high schools in central China to investigate internet adaptability, meaning in life, anxiety, and internet addiction.

Results

The results revealed a significant negative correlation between Internet adaptability and adolescent internet addiction (r = −0.199, p < 0.01). Furthermore, our results indicated that Internet adaptability negatively predicts internet addiction (β = −0.086, p < 0.001). Additionally, mediation analyses revealed that both meaning in life (β = −0.060, p < 0.001) and anxiety (β = −0.032, p < 0.01) mediate the relationship between Internet adaptability and internet addiction. Moreover, a serial mediation effect involving meaning in life and anxiety was observed between Internet adaptability and internet addiction (β = −0.027, p < 0.001).

Conclusion

These findings suggest that Internet adaptability plays an important role in alleviating individual internet addiction. Our results indicate that increasing individuals’ sense of meaning in life can help reduce anxiety, thereby potentially reducing internet addiction.
Health care in future community: innovatively discover and respond to the needs of today’s seniors
Authors: Zhou Bowen , Deng Qidan , Zhou Shiyuan , Zhuo Dongni
Published: December 2023

Introduction

In the context of the digital economy, the emergence and application of emerging technologies have accelerated the integration of traditional social structures with new technologies, leading to the inception of the “Future Community” as an innovative urban unit. With an aging population’s rapid and sustained rise, integrating health care for older adults with modern information technology is gradually moving towards holistic governance. This approach utilizes the Future Community as a medium and aims for quality enhancement and increased efficiency, which instrumentally addresses the diversified health care needs of China’s aging era.

Methods

In this study, we employed a questionnaire survey method that covered 11 communities in Tianjin City to understand better the current status and characteristics of their health care services.

Results

The survey results show that the means of community health care for older adults are gradually being upgraded, and the demands are shifting. Then, we arrive at three conclusions: firstly, technological innovation and smart approaches have the potential to positively influence the quality of health care in these communities. Secondly, allocating health care resources within communities can have a salutary effect on the psychological well-being of seniors. Thirdly, actively involving seniors in community life and governance can elevate their self-worth.

Discussion

At last, in conjunction with current challenges, we think that deepening multi-party collaboration, educating specialized talents, and bridging the “digital gap” would be effective ways to establish a future community for seniors.
An enhanced diabetes prediction amidst COVID-19 using ensemble models
Authors: Thakur Deepak , Gera Tanya , Bhardwaj Vivek , AlZubi Ahmad Ali , Ali Farman , Singh Jaiteg
Published: December 2023

In the contemporary landscape of healthcare, the early and accurate prediction of diabetes has garnered paramount importance, especially in the wake of the COVID-19 pandemic where individuals with diabetes exhibit increased vulnerability. This research embarked on a mission to enhance diabetes prediction by employing state-of-the-art machine learning techniques. Initial evaluations highlighted the Support Vector Machines (SVM) classifier as a promising candidate with an accuracy of 76.62%. To further optimize predictions, the study delved into advanced feature engineering techniques, generating interaction and polynomial features that unearthed hidden patterns in the data. Subsequent correlation analyses, visualized through heatmaps, revealed significant correlations, especially with attributes like Glucose. By integrating the strengths of Decision Trees, Gradient Boosting, and SVM in an ensemble model, we achieved an accuracy of 93.2%, showcasing the potential of harmonizing diverse algorithms. This research offers a robust blueprint for diabetes prediction, holding profound implications for early diagnosis, personalized treatments, and preventive care in the context of global health challenges and with the goal of increasing life expectancy.
Marine recreation with a purpose: an emerging form of marine citizen science in the Ocean Decade
Authors: Fantuzzi Laura , Ford Alex T. , de Laszlo William , Lundgren Andrew , Couceiro Fay
Published: December 2023

Amidst the growth of the marine technology and recreation sectors and heightened public environmental awareness, the opportunity for marine citizen science is extending to marine recreationalists. An unnoticed yet growing demand for purpose among marine recreationalists has translated into citizens recruiting scientists to integrate environmental data collection into recreational activities or events, named here “marine recreation with a purpose.” As an example, GB Row Challenge is an annual ocean rowing competition circumnavigating Great Britain which recently integrated environmental monitoring as an inherent component of the event with the help of partner scientists and engineers. This bottom-up, integrated form of marine citizen science that is rooted in recreation, adventure or sports, has unique contributions to United Nations' Ocean Decade goals, such as encouraging ocean stewardship and normalizing citizen science and ocean literacy to audiences not usually exposed to this content. The public nature of these projects may also help overcome common barriers of citizen science with funding and technical support by private sources via sponsorships. To build the experiential, financial and technical capacities needed to enable marine recreation with a purpose at all scales, coordination between all forms of marine recreation-based citizen science is required. This could be realized through forming a dedicated coalition in existing citizen science associations and platforms. Marine recreation with a purpose is a growing trend of citizen science in the marine recreation sector and global coordination will amplify its impact as an essential contribution to the Ocean Decade.
How Human Activities Are Disrupting the Silicon Cycle
Authors: Zhang Zhouling , López-Acosta María
Published: December 2023

Dissolved silicon is an essential nutrient for the growth of various ocean organisms that need it to build their skeletons. Most of the dissolved silicon that sustains these organisms comes from the breakdown of silicon-containing rocks on land. In recent decades, human activities have greatly disturbed the transport of silicon from land to ocean. For example, dams built to generate electricity can interrupt the transport of dissolved silicon and starve downstream areas. Fertilizers and other human pollution add large amounts of non-silicon nutrients to rivers, lakes, and reservoirs, which can stimulate organisms to grow and use up silicon before it reaches the ocean. In addition, consequences of climate change can also impact the silicon cycle. In this article, we explain how human activities have disturbed the silicon cycle and discuss how climate change may affect it in the future.
Risk factors and injury prevention strategies for overuse injuries in adult climbers: a systematic review
Authors: Quarmby Andrew , Zhang Martin , Geisler Moritz , Javorsky Tomas , Mugele Hendrik , Cassel Michael , Lawley Justin
Published: December 2023

Introduction

Climbing is an increasingly popular activity and imposes specific physiological demands on the human body, which results in unique injury presentations. Of particular concern are overuse injuries (non-traumatic injuries). These injuries tend to present in the upper body and might be preventable with adequate knowledge of risk factors which could inform about injury prevention strategies. Research in this area has recently emerged but has yet to be synthesized comprehensively. Therefore, the aim of this study was to conduct a systematic review of the potential risk factors and injury prevention strategies for overuse injuries in adult climbers.

Methods

This systematic review was conducted in accordance with the PRISMA guidelines. Databases were searched systematically, and articles were deemed eligible based upon specific criteria. Research included was original and peer-reviewed, involving climbers, and published in English, German or Czech. Outcomes included overuse injury, and at least one or more variable indicating potential risk factors or injury prevention strategies. The methodological quality of the included studies was assessed with the Downs and Black Quality Index. Data were extracted from included studies and reported descriptively for population, climbing sport type, study design, injury definition and incidence/prevalence, risk factors, and injury prevention strategies.

Results

Out of 1,183 records, a total of 34 studies were included in the final analysis. Higher climbing intensity, bouldering, reduced grip/finger strength, use of a “crimp” grip, and previous injury were associated with an increased risk of overuse injury. Additionally, a strength training intervention prevented shoulder and elbow injuries. BMI/body weight, warm up/cool downs, stretching, taping and hydration were not associated with risk of overuse injury. The evidence for the risk factors of training volume, age/years of climbing experience, and sex was conflicting.

Discussion

This review presents several risk factors which appear to increase the risk of overuse injury in climbers. Strength and conditioning, load management, and climbing technique could be targeted in injury prevention programs, to enhance the health and wellbeing of climbing athletes. Further research is required to investigate the conflicting findings reported across included studies, and to investigate the effectiveness of injury prevention programs.

Systematic Review Registration

https://www.crd.york.ac.uk/, PROSPERO (CRD42023404031).
“I’m going to change the WIFI password if you don't go outside!”: a qualitative examination of changes in parenting practices over the course of the COVID-19 pandemic
Authors: Paterson Derek , Beauchamp Mark R. , Masse Louise C. , Moore Sarah A. , Faulkner Guy
Published: December 2023

Introduction

Parenting practices are an important influence on the movement behaviours of children. Parenting practices are shaped by various contextual factors (e.g., culture, sociodemographic, community) and are susceptible to external pressures, such as health crises like the COVID-19 pandemic. Situated within the revised Family Ecological Model, the purpose of this study was to qualitatively explore changes in parenting practices over time in relation to the evolving nature of this global event.

Methods

One-on-one semi-structured interviews with 40 parents of children (aged 7–11) in three Canadian provinces were conducted in August, 2021. A narrative thematic analysis was conducted to develop themes mapping changes in parenting practices and organize the temporal patterns of these changes into shared case trajectories over time.

Results

Four themes were constructed to highlight changes in parenting practices: (1) Screen time permissiveness, (2) Force and coercion, (3) Agents of unstructured physical activity, and (4) Stepping back from structured physical activity. These themes were organized into three distinct case trajectories that each represent a shared, chronological narrative for how the first 18 months of the pandemic were broadly experienced by parents. The three trajectories were characterized by: (1) Resilience (2) Enduring impact and (3) Adaptive growth.

Discussion

Parenting practices were changed in response to circumstances in both temporary and enduring manners that may continue beyond the pandemic. Further research is needed to longitudinally assess these trajectories in order to support families and enhance understanding of parenting practices in challenging circumstances.
Deep Learning Based on EfficientNet for Multiorgan Segmentation of Thoracic Structures on a 0.35 T MR-Linac Radiation Therapy System
Authors: Chekroun Mohammed , Mourchid Youssef , Bessières Igor , Lalande Alain
Published: December 2023

The advent of the 0.35 T MR-Linac (MRIdian, ViewRay) system in radiation therapy allows precise tumor targeting for moving lesions. However, the lack of an automatic volume segmentation function in the MR-Linac’s treatment planning system poses a challenge. In this paper, we propose a deep-learning-based multiorgan segmentation approach for the thoracic region, using EfficientNet as the backbone for the network architecture. The objectives of this approach include accurate segmentation of critical organs, such as the left and right lungs, the heart, the spinal cord, and the esophagus, essential for minimizing radiation toxicity during external radiation therapy. Our proposed approach, when evaluated on an internal dataset comprising 81 patients, demonstrated superior performance compared to other state-of-the-art methods. Specifically, the results for our approach with a 2.5D strategy were as follows: a dice similarity coefficient (DSC) of 0.820 ± 0.041, an intersection over union (IoU) of 0.725 ± 0.052, and a 3D Hausdorff distance (HD) of 10.353 ± 4.974 mm. Notably, the 2.5D strategy surpassed the 2D strategy in all three metrics, exhibiting higher DSC and IoU values, as well as lower HD values. This improvement strongly suggests that our proposed approach with the 2.5D strategy may hold promise in achieving more precise and accurate segmentations when compared to the conventional 2D strategy. Our work has practical implications in the improvement of treatment planning precision, aligning with the evolution of medical imaging and innovative strategies for multiorgan segmentation tasks.
Predicting Pedestrian Trajectories with Deep Adversarial Networks Considering Motion and Spatial Information
Authors: Lao Liming , Du Dangkui , Chen Pengzhan
Published: December 2023

This paper proposes a novel prediction model termed the social and spatial attentive generative adversarial network (SSA-GAN). The SSA-GAN framework utilizes a generative approach, where the generator employs social attention mechanisms to accurately model social interactions among pedestrians. Unlike previous methodologies, our model utilizes comprehensive motion features as query vectors, significantly enhancing predictive performance. Additionally, spatial attention is integrated to encapsulate the interactions between pedestrians and their spatial context through semantic spatial features. Moreover, we present a novel approach for generating simulated multi-trajectory datasets using the CARLA simulator. This method circumvents the limitations inherent in existing public datasets such as UCY and ETH, particularly when evaluating multi-trajectory metrics. Our experimental findings substantiate the efficacy of the proposed SSA-GAN model in capturing the nuances of pedestrian interactions and providing accurate multimodal trajectory predictions.
Implementation of a Working Time Recording System as a Digital Management Tool in Public Administration
Authors: Khorsand Phuong Ngoc Nguyen-Hadi , Peráček Tomáš
Published: December 2023

This theoretical scientific study explores using a working time recording system as a digital management tool in public administration. It explains why such a system is necessary in public administration and lays out the report’s goals. The main goal is to identify the possibilities of using modern technology, such as the system of recording the working time of public administration employees, to improve its efficiency and pro-client orientation. Recording the working time management ensures that most government and public administration duties are organised and arranged promptly for easier retrieval and allocation of tasks to different departments. A thorough assessment of the literature also looks at the current studies on working time tracking systems, particularly in the context of public administration and their possible effects on effectiveness, accountability, and transparency. Employee privacy-related legal and moral issues are also covered. The Materials and Methods section describes the system’s implementation in detail, covering system selection, employee training, data collection methods, and technological considerations. As a result, the use of time recording systems in public administration has been found to have various benefits, including better work–life balance, fairness and transparency. These solutions improve accountability and trust by streamlining workforce management and ensuring compliance with labour laws. The main result of our research is the design of a theoretical model applicable in public administration for monitoring an employee’s working time.
From Start to Scale: Navigating Innovation, Entrepreneurial Ecosystem, and Strategic Evolution
Authors: Crnogaj Katja , Rus Matej
Published: December 2023

In the contemporary business environment, startups have emerged as significant employment contributors, particularly in mature startup ecosystems, such as the United States. However, Europe, with a particular focus on Slovenia, represents an unexplored avenue in this area. As startups make the transition to scaleups, they face numerous challenges. Our study aims to comprehend the dynamics that affect startups during this crucial phase, focusing on the relationship between entrepreneurial motivations, the startup ecosystem, and their strategic adaptability. We undertook a primary survey among Slovenian startup and scaleup companies, and we utilized factor and regression analysis as the primary tools for conducting a thorough data analysis. The research underscores the symbiotic relationship between tailored business strategies, innovation, and growth challenges. To achieve successful transition from startup to scaleup, it is a strategic necessity for businesses to harness their innovative capacities. Our research pioneers the inclusion of Slovenia within the European startup landscape, providing insight into the unique challenges and opportunities inherent to the region. The findings advocate for a holistic approach in the startup ecosystem, reinforcing the significance of a multifaceted support system for these budding enterprises.
Strategic Response of European Airlines to Market Dynamics: A Comparative Analysis
Authors: Arrigo Ugo , Beccarello Massimo , Di Foggia Giacomo
Published: December 2023

The airline market is constantly evolving and requires managers to adopt strategies to meet the changing demands and organizational requirements of the sector. As a result of its liberalization, the European market has transformed from a set of national protected sectors to a single sector. Although the market has grown over the last two decades, the industry has faced difficulties due to various economic, safety, environmental, and health issues, which have recently emerged. This study analyzes the airlines’ strategic responses to increased competition from the turn of the century to 2019, excluding the pandemic period, to focus on market dynamics driven by European competition policy. A five-pillar strategic framework highlighting common strategies and divergences between major European network carriers is outlined through a multi-case analysis of major European markets. The sample includes France, Germany, Italy, and Spain. Results have managerial implications that highlight the importance of strategic adaptability in an industry landscape that continues to evolve. Managerial implications fall into the following three categories: strategic positioning, cost optimization, and business diversification.
A Dual Perspective on Geostationary Satellite Monitoring Using DSLR RGB and sCMOS Sloan Filters
Authors: Mariani Lorenzo , Cimino Lorenzo , Rossetti Matteo , Bucciarelli Mascia , Hossein Shariar Hadji , Varanese Simone , Zarcone Gaetano , Castronuovo Marco , Di Cecco Alessandra , Marzioli Paolo , Piergentili Fabrizio
Published: December 2023

This paper outlines a multi-system approach for ground-based optical observations and the characterization of satellites in geostationary orbit. This multi-system approach is based on an in-depth analysis of the key factors to consider for light curve analysis of Earth’s orbiting satellites. Light curves have been observed in different spectral bands using two different systems. The first system is specialized for astronomical observations and consists of a telescope equipped with an sCMOS camera and Sloan photometric filters. In contrast, the second system is a more cost-effective solution designed for professional non-astronomical applications, incorporating DSLR cameras equipped with RGB channels associated with a Bayer mask and photographic lenses. This comparative analysis aims to highlight the differences and advantages provided by each system, stressing their respective performance characteristics. The observed light curves will be presented as a function of the phase angle, which depends on the relative positions of the observer, the object, and the Sun. This angle plays an important role in optimizing the visibility of Earth’s orbiting satellites. Finally, multiband observations of different satellites will be compared to seek an associated spectral signature, which may allow the identification of structurally similar objects through optical observations.
Simplified Maneuvering Strategies for Rendezvous in Near-Circular Earth Orbits
Authors: Costigliola Davide , Casalino Lorenzo
Published: December 2023

The development of autonomous guidance control and navigation systems for spacecraft would greatly benefit applications such as debris removals or on-orbit servicing, where human intervention is not practical. Within this context, inspired by Autonomous Vision Approach Navigation and Target Identification (AVANTI) demonstration, this work presents new guidance algorithms for rendezvous and proximity operations missions. Analytical laws are adopted and preferred over numerical methods, and mean relative orbital elements are chosen as state variables. Application times, magnitudes and directions of impulsive controls are sought to minimize propellant consumption for the planar reconfiguration of the relative motion between a passive target spacecraft and an active chaser one. In addition, simple and effective algorithms to evaluate the benefit of combining in-plane and out-of-plane maneuvers are introduced to deal with 3D problems. The proposed new strategies focus on maneuvers with a dominant change in the relative mean longitude (rarely addressed in the literature), but they can also deal with transfers where other relative orbital elements exhibit the most significant variations. A comprehensive parametric analysis compares the proposed new strategies with those employed in AVANTI and with the global optimum, numerically found for each test case. Results are similar to the AVANTI solutions when variations of the relative eccentricity vector dominate. Instead, in scenarios requiring predominant changes in the relative mean longitude, the required ΔV exhibits a 49.88% reduction (on average) when compared to the original methods. In all the test cases, the proposed solutions are within 3.5% of the global optimum in terms of ΔV. The practical accuracy of the presented guidance algorithms is also tested with numerical integration of equations of motion with J2 perturbation.
Effect of Gender and Muscle Type on Fatty Acid Profile, Sanogenic Indices, and Instrumental and Sensory Analysis of Flemish Giant Rabbit Meat
Authors: Frunză Gabriela , Ciobanu Marius-Mihai , Murariu Otilia Cristina , Rațu Roxana Nicoleta , Radu-Rusu Răzvan-Mihail , Simeanu Cristina , Boișteanu Paul-Corneliu
Published: December 2023

The aim of this study was to represent quality characterization, by gender and muscle type, of rabbit meat from the Flemish Giant (FG) breed, following the fatty acid profile, sanogenic indices, and instrumental (color and texture) and sensory analysis. The biological material comprised 40 rabbits (20 females and 20 males) whose Longissimus dorsi (LD) and Semimembranosus (SM) muscles were sampled. Compared to female samples, the meat from males was more qualitative in terms of higher ratios of polyunsaturated vs. saturated fatty acids and proportions (+42%) of Essential and Desirable Fatty Acids (+21.6% EFA; +6.7% DFA). Also, the Atherogenic Index (AI) and Thrombogenic Index (TI) were better in males (−37.1% AI; −34.3% TI), as were the ratio of hypocholesterolemic/Hypercholesterolemic fatty acids (+27.8%) and the Nutritive Value Index (NVI, +11.6%). The Polyunsaturation Index (PI) was higher for females (+57.5%), with the widest differences in hind leg muscles (SM muscles), while the omega-6/omega-3 fatty acid ratio was also better (+11.3%). Female meat was more tender due to lower shear force (−6.2%… 9.3%) in both muscles. Female meat was less pigmented than that of males, while the overall sensory attributes were better scored in male samples (+3.1%… +7.1%) (p < 0.01). The meat of males proved to be more sanogenic (richer in EFA and DFA, with a better h/H ratio and NVI, while AI and TI were lower). We would recommend slaughtering 3–4 weeks earlier in females vs. males to avoid excessive fat deposition and, consequently, the development of unfavorable sanogenic indices for consumer health.
A Korean Cattle Weight Prediction Approach Using 3D Segmentation-Based Feature Extraction and Regression Machine Learning from Incomplete 3D Shapes Acquired from Real Farm Environments
Authors: Dang Chang Gwon , Lee Seung Soo , Alam Mahboob , Lee Sang Min , Park Mi Na , Seong Ha-Seung , Baek Min Ki , Pham Van Thuan , Lee Jae Gu , Han Seungkyu
Published: December 2023

Accurate weight measurement is critical for monitoring the growth and well-being of cattle. However, the traditional weighing process, which involves physically placing cattle on scales, is labor-intensive and stressful for the animals. Therefore, the development of automated cattle weight prediction techniques assumes critical significance. This study proposes a weight prediction approach for Korean cattle using 3D segmentation-based feature extraction and regression machine learning techniques from incomplete 3D shapes acquired from real farm environments. Firstly, we generated mesh data of 3D Korean cattle shapes using a multiple-camera system. Subsequently, deep learning-based 3D segmentation with the PointNet network model was employed to segment 3D mesh data into two dominant parts: torso and center body. From these segmented parts, the body length, chest girth, and chest width of Korean cattle were extracted. Finally, we implemented five regression machine learning models (CatBoost regression, LightGBM, polynomial regression, random forest regression, and XGBoost regression) for weight prediction. To validate our approach, we captured 270 Korean cattle in various poses, totaling 1190 poses of 270 cattle. The best result was achieved with mean absolute error (MAE) of 25.2 kg and mean absolute percent error (MAPE) of 5.85% using the random forest regression model.