bluuebunny/crossref_metadata_2025 huggingface dataset:
Identification and validation of a prognostic risk-scoring model based on sphingolipid metabolism-associated cluster in colon adenocarcinoma
Authors: Yuan Qihang , Zhang Weizhi , Shang Weijia
Published: November 2022

Colon adenocarcinoma (COAD) is the primary factor responsible for cancer-related mortalities in western countries, and its development and progression are affected by altered sphingolipid metabolism. The current study aimed at investigating the effects of sphingolipid metabolism-related (SLP) genes on multiple human cancers, especially on COAD. We obtained 1287 SLP genes from the GeneCard and MsigDb databases along with the public transcriptome data and the related clinical information. The univariate Cox regression analysis suggested that 26 SLP genes were substantially related to the prognosis of COAD, and a majority of SLP genes served as the risk genes for the tumor, insinuating a potential pathogenic effect of SLP in COAD development. Pan-cancer characterization of SLP genes summarized their expression traits, mutation traits, and methylation levels. Subsequently, we focused on the thorough research of COAD. With the help of unsupervised clustering, 1008 COAD patients were successfully divided into two distinct subtypes (C1 and C2). C1 subtype is characterized by a poor prognosis, activation of SLP pathways, high expression of SLP genes, disordered carcinogenic pathways, and immune microenvironment. Based on the clusters of SLP, we developed and validated a novel prognostic model, consisting of ANO1, C2CD4A, EEF1A2, GRP, HEYL, IGF1, LAMA2, LSAMP, RBP1, and TCEAL2, to quantitatively evaluate the clinical outcomes of COAD. The Kaplain-Meier survival curves and ROC curves highlighted the accuracy of our SLP model in both internal and external cohorts. Compared to normal colon tissues, expression of C2CD4A was detected to be significantly higher in COAD; whereas, expression levels of EEF1A2, IGF1, and TCEAL2 were detected to be significantly lower in COAD. Overall, our research emphasized the pathogenic role of SLP in COAD and found that targeting SLP might help improve the clinical outcomes of COAD. The risk model based on SLP metabolism provided a new horizon for prognosis assessment and customized patient intervention.
Achieving carbon neutrality in China: Legal and policy perspectives
Authors: Wang Bo , Yu Junping , Wu Rui
Published: November 2022

China has committed to achieve carbon neutrality by 2060. However, this task is considerably difficult. To meet its carbon neutrality commitments, China will rely on a range of policies and laws. By analyzing policies and laws issued at the central and local levels in China from 2019 to the present, we assessed how the Chinese government will achieve its carbon neutrality targets by breaking them down. The results of this study showed that: 1) Carbon neutrality targets are translated into indicators such as energy consumption per unit of GDP, carbon dioxide emissions per unit of GDP, non-fossil energy consumption ratio, forest cover, and forest stock; 2) The focus of policy and law-making is on the role of the government rather than the carbon market; 3) The central government tends to promote and guide low-carbon development through specific actions; 4) Local policy and law-making is less proactive and is influenced by localism; 5) Overall, China’s carbon neutrality policies and laws are characterized by comprehensive coverage, with emphasis on the rational use of executive power and the development of low-carbon-related technologies; and 6) The existing policies and laws remain unclear, with low levels of legislation and insufficient public participation. This paper puts forward some suggestions on the introduction of the climate change law, the promotion of citizen participation in policy-making and implementation, and the establishment of a public interest litigation system on climate change.
Numerical investigation of the flow characteristics of Bingham fluid on a slope with corrected smooth particle hydrodynamics
Authors: Li Yanggui , Wang Lei , Zhao Yun , Wang Heping , Li Shengshan , Jia Jinfang
Published: November 2022

The Bingham model can effectively describe the flow behavior of viscoplastic fluid. It is important to study the flow characteristics of Bingham fluid to understand the dynamic mechanism of viscous debris flow. In this study, the Bingham fluid flow on a slope is numerically researched using a corrected smooth particle hydrodynamics (CSPH) method based on periodic density re-initialization and artificial stress. First, the accuracy and stability of the improved SPH method are verified by the benchmark problem impacting droplets. Then, the flow characteristics of the Bingham fluid on the slope and the influence of the slope inclination angle on the Bingham fluid movement process are studied with the improved SPH method. The numerical results show that the improved SPH numerical scheme has higher accuracy and better stability and can deal with the complex flow behavior of the unsteady Bingham fluid.
Local-neighborhood effects of environmental regulations on green technology innovation in manufacturing: Green credit-based regulation
Authors: Jiang Ling , Wang Yuqi , Zhang Jian
Published: November 2022

With the deterioration of environmental pollution, resource security and climate crisis, transforming the mode of economic development and developing a green economy have turned into an international consensus. However, environmental regulations (ERs) can help facilitate technological innovation. As an important financial support for the green innovation transformation of China’s manufacturing industry, it is crucial to exploit the policy synergy between green credit (GC) and ERs at the regional level to stimulate technological innovation effects. GC, as a financial instrument, can play a unique role in ERs; therefore, the relationship between ERs and the level of green technology innovation (GTI) based on the GC perspective deserves an in-depth study. Using a spatial Durbin model (SDM) for the panel data of 30 Chinese provinces from 2006 to 2016, this paper explores the spatial effects of ERs and GC on GTI in manufacturing and the moderating effects of GC policies on ERs affecting GTI. The research finds that ERs exert a negative impact on local manufacturing GTIs and undermine the innovation effect in neighboring locations through spatial spillover effects. The development of GC helps stimulate the transformation of GTI in local manufacturing industries with further attention on the effects of policy instruments and their combinations. The moderating effect of GC suggests that its development can weaken the inhibiting effect of ERs on GTI in local and neighboring areas and is particularly significant in coastal areas. Our study provides a theoretical basis and policy insights for coordinating government external intervention and market operation laws at the regional level to bring into play the incentive effect of technological innovation.
Restaurateurs’ context, decisions, and views on supporting sustainable seafood: Insights from Chile
Authors: Donlan C. Josh , Sorice Michael G. , Contreras-Drey Francisco J. , Oyanedel Rodrigo , Ávila-Thieme M. Isidora , Gelcich Stefan
Published: November 2022

While restauranteurs are important actors in seafood systems, information on their decisions and views on sustainability is lacking. Using mixed methods, we explored Chilean restauranters’ contexts, decisions, and views on seafood sustainability. Menus in Chile are diverse and dominated by domestic and wild-caught sources. Restauranters are willing to participate in traceability programs, especially when it is for both sustainability and health safety reasons. Restauranters believe that seafood is an elite resource and high prices are inhibiting access. They also believe patrons care little about seafood sustainability yet are willing to pay a premium for it. This contradiction suggests a mechanism for activating values via situational factors. While demand and benefits for seafood traceability programs appear present, challenges threaten successful implementation. Complex socio-economic factors, such as affordability, elitism, and inequity, need to be integrated into traceability program design to contribute to the necessary transformation of seafood systems.
Thermal tuning of protein hydration in a hyperthermophilic enzyme
Authors: Fusco Giuliana , Biancaniello Carmen , Vrettas Michail D. , De Simone Alfonso
Published: November 2022

Water at the protein surface is an active biological molecule that plays a critical role in many functional processes. Using NMR-restrained MD simulations, we here addressed how protein hydration is tuned at high biological temperatures by analysing homologous acylphosphatase enzymes (AcP) possessing similar structure and dynamics under very different thermal conditions. We found that the hyperthermophilic Sso AcP at 80°C interacts with a lower number of structured waters in the first hydration shell than its human homologous mt AcP at 37°C. Overall, the structural and dynamical properties of waters at the surface of the two enzymes resulted similar in the first hydration shell, including solvent molecules residing in the active site. By contrast the dynamical content of water molecules in the second hydration shell was found to diverge, with higher mobility observed in Sso AcP at 80°C. Taken together the results delineate the subtle differences in the hydration properties of mt AcP and Sso AcP, and indicate that the concept of corresponding states with equivalent dynamics in homologous mesophilic and hyperthermophylic proteins should be extended to the first hydration shell.
UVMS task-priority planning framework for underwater task goal classification optimization
Authors: Gao Yu-er , Zhang Xiaohui , Su Yan , Wang Jinbao , Yang Qihang , Bai Wenqi , Yang Songnan
Published: November 2022

This paper presents a task prioritization strategy based on a generic underwater task goal classification transformation for multitasking underwater operational tasks: attitude control, floating manipulation, collision-free motion, especially optimizing trajectory of the end-effector of an underwater vehicle manipulator system (UVMS) in a complex marine environment. The design framework aims to divide the complex underwater operational tasks into UVMS executable generic task combinations and optimize the resource consumption during the whole task. In order to achieve the corresponding underwater task settings, the system needs to satisfy different task scheduling structures. We consider the actual application scenarios of the operational goals and prioritize and define each category of task hierarchy accordingly. Multiple tasks simultaneously enable fast adaptation to UVMS movements and planning to complete UVMS autonomous movements. Finally, an underwater vehicle manipulator system implements the task prioritization planning framework for a practical scenario with different constraints on different goals. We quickly and precisely realize the interconversion of different tasks under goal constraints. The autonomous motion planning and real-time performance of UVMS are improved to cope with the increasing operational task requirements and the complex and changing practical engineering application environments.
The delivered dose assessment in pancreas SBRT with the target position determined using an in-house position monitoring system
Authors: Arumugam Sankar , Young Tony , Johnston Meredith , Pavey Darren , Lee Mark
Published: November 2022

Purpose

This study assessed the delivered dose accuracy in pancreas SBRT by incorporating the real-time target position determined using an in-house position monitoring system.

Methods and materials

An online image-based position monitoring system, SeedTracker, was developed to monitor radiopaque marker positions using monoscopic x-ray images, available from the Elekta XVI imaging system. This system was applied to patients receiving SBRT for pancreatic cancer on the MASTERPLAN Pilot trial (ACTRN 12617001642370). All patients were implanted pre-treatment with at least three peri-tumoral radiopaque markers for target localisation. During treatment delivery, marker positions were compared to expected positions delineated from the planning CT. The position tolerance of ±3mm from the expected position of the markers was set to trigger a gating event (GE) during treatment. The dosimetric impact of position deviations and actual dose delivered with position corrections was assessed by convolving the plan control point dose matrices with temporal target positions determined during treatment.

Results

Eight patients were treated within this study. At least one GE was observed in 38% of the treatment fractions and more than one GE was observed in 10% of the fractions. The position deviations resulted in the mean(range) difference of -0.1(-1.1 - 0.4)Gy in minimum dose to tumour and 1.9(-0.1- 4.6)Gy increase to Dmax to duodenum compared to planned dose. In actual treatment delivery with the patient realignment, the mean difference of tumour min dose and duodenal Dmax was reduced to 0.1(-1.0 – 1.1)Gy and 1.1 (-0.7 - 3.3)Gy respectively compared to the planned dose.

Conclusions

The in-house real-time position monitoring system improved the treatment accuracy of pancreatic SBRT in a general-purpose linac and enabled assessment of delivered dose by incorporating the temporal target position during delivery. The intrafraction motion impacts the dose to tumour even if target position is maintained within a 3mm position tolerance.
Cardiocerebral channelopathy caused by KCND3 mutation in a child: A case report
Authors: Zhang Yi , Jiang He , Li Xiao-mei
Published: November 2022

Early repolarization syndrome is rare in children. Mutation of genes encoding ion channels could display mixed electrophysiological phenotype of Kv4.3 including both cardiac phenotype (early repolarization syndrome, atrial fibrillation) and cerebral phenotype (epilepsy, intellectual disability). This situation is rare and was named as cardiocerebral channelopathy. Here, we report a case of an 11-year-old-girl with cardiocerebral channelopathy caused by KCND3 mutation, who was successfully treated with oral quinidine, metoprolol and implantable cardioverter-defibrillator. Clinicians should be vigilant on the risk of cardiogenic syncope and sudden cardiac death in a patient with epilepsy, intellectual disability and early repolarization pattern.
Low frequency cerebral arterial and venous flow oscillations in healthy neonates measured by NeoDoppler
Authors: Ødegård Siv Steinsmo , Torp Hans , Follestad Turid , Leth-Olsen Martin , Støen Ragnhild , Nyrnes Siri Ann
Published: November 2022

Background

A cerebroprotective effect of low frequency oscillations (LFO) in cerebral blood flow (CBF) has been suggested in adults, but its significance in neonates is not known. This observational study evaluates normal arterial and venous cerebral blood flow in healthy neonates using NeoDoppler, a novel Doppler ultrasound system which can measure cerebral hemodynamics continuously.

Method

Ultrasound Doppler data was collected for 2 h on the first and second day of life in 36 healthy term born neonates. LFO (0.04–0.15 Hz) were extracted from the velocity curve by a bandpass filter. An angle independent LFO index was calculated as the coefficient of variation of the filtered curve. Separate analyses were done for arterial and venous signals, and results were related to postnatal age and behavioral state (asleep or awake).

Results

The paper describes normal physiologic variations of arterial and venous cerebral hemodynamics. Mean (SD) arterial and venous LFO indices (%) were 6.52 (2.55) and 3.91 (2.54) on day one, and 5.60 (1.86) and 3.32 (2.03) on day two. After adjusting for possible confounding factors, the arterial LFO index was estimated to decrease by 0.92 percent points per postnatal day (p < 0.001). The venous LFO index did not change significantly with postnatal age (p = 0.539). Arterial and venous LFO were not notably influenced by behavioral state.

Conclusion

The results indicate that arterial LFO decrease during the first 2 days of life in healthy neonates. This decrease most likely represents normal physiological changes related to the transitional period. A similar decrease for venous LFO was not found.
Quantitative effects of sodium–glucose cotransporter-2 inhibitors dapagliflozin and empagliflozin on quality of life in heart failure patients
Authors: Wang Dong-Dong , Zhang Cun , Zhu Ping , He Su-Mei , Chen Xiao
Published: November 2022

The aim of the present study is to investigate the quantitative effects of sodium–glucose cotransporter-2 (SGLT-2) inhibitors on the quality of life in heart failure (HF) patients. A total of 14,674 HF patients from two dapagliflozin and three empagliflozin studies is included for analysis via the nonlinear mixed-effect modeling (NONMEM) software, among which the change rate of the Kansas City Cardiomyopathy Questionnaire (KCCQ) score is used as the evaluation index. There is no significant difference in the pharmacodynamics influencing the quality of life in HF patients between the SGLT-2 inhibitors: 10 mg/day dapagliflozin and 10 mg/day empagliflozin. For the clinical summary score (CSS), total symptom score (TSS), and overall summary score (OSS), the Emax of the SGLT-2 inhibitors on the quality of life in HF patients is 3.74%, 4.43%, and 4.84%, respectively, and ET50 is 2.23, 4.37, and 7.15 weeks, respectively. In addition, the time duration of achieving 25%, 50%, 75%, and 80% Emax is 0.75, 2.23, 6.69, and 8.92 weeks for the CSS; 1.46, 4.37, 13.11, and 17.48 weeks for the TSS; and 2.39, 7.15, 21.45, and 28.6 weeks for the OSS, respectively. Therefore, to reach the plateau period (80% of Emax) of SGLT-2 inhibitors on the CSS, TSS, and OSS, 10 mg/day dapagliflozin (or 10 mg/day empagliflozin) is required to be taken for 8.92 weeks, 17.48 weeks, and 28.6 weeks, respectively. This is the first time that the quantitative effects of SGLT-2 inhibitors on the quality of life in HF patients are being explored.
Microscopic reversibility and emergent elasticity in ultrastable granular systems
Authors: Zhao Yiqiu , Zhao Yuchen , Wang Dong , Zheng Hu , Chakraborty Bulbul , Socolar Joshua E. S.
Published: November 2022

In a recent paper (Zhao et al., Phys Rev X, 2022, 12: 031,021), we reported experimental observations of “ultrastable” states in a shear-jammed granular system subjected to small-amplitude cyclic shear. In such states, all the particle positions and contact forces are reproduced after each shear cycle so that a strobed image of the stresses and particle positions appears static. In the present work, we report further analyses of data from those experiments to characterize both global and local responses of ultrastable states within a shear cycle, not just the strobed dynamics. We find that ultrastable states follow a power-law relation between shear modulus and pressure with an exponent β ≈ 0.5, reminiscent of critical scaling laws near jamming. We also examine the evolution of contact forces measured using photoelasticimetry. We find that there are two types of contacts: non-persistent contacts that reversibly open and close; and persistent contacts that never open and display no measurable sliding. We show that the non-persistent contacts make a non-negligible contribution to the emergent shear modulus. We also analyze the spatial correlations of the stress tensor and compare them to the predictions of a recent theory of the emergent elasticity of granular solids, the Vector Charge Theory of Granular mechanics and dynamics (VCTG) (Nampoothiri et al., Phys Rev Lett, 2020, 125: 118,002). We show that our experimental results can be fit well by VCTG, assuming uniaxial symmetry of the contact networks. The fits reveal that the response of the ultrastable states to additional applied stress is substantially more isotropic than that of the original shear-jammed states. Our results provide important insight into the mechanical properties of frictional granular solids created by shear.
The modeling of free-fall arch formation in granular flow through an aperture
Authors: Tang Yao , Chan Dave H. , Zhu David Z.
Published: November 2022

In this study, to predict the formation of the free-fall arch via granular flow through an aperture, an analytical model has been developed based on the particle-scale force equilibrium. This model calculates the size and location of the meta-stable arch and can be extended to predict the granular flow rate. According to the developed analytical model, the formation of a free-fall arch is independent of granular height and stress state above the arch, where only granular particle size, aperture size, and granular friction influence the development of the arch. Besides, this proposed model can predict the formation of the meta-stable arch without empirical parameters. In comparison with experimental results, the predicted granular flow rate based on the model exhibits high accuracy for uniform-sized granular flow. According to numerical simulations, the free-fall arch appears above the aperture; however, the particle velocity at the arch is low and can be considered negligible. Gravity will cause the granular particles under the arch to fall freely. This mathematical model offers an efficient method to predict the formation of the free-fall arch and calculate the granular flow rate through an aperture.
Investigating pregnant women’s health information needs during pregnancy on internet platforms
Authors: Hou Keke , Hou Tingting
Published: November 2022

Artificial intelligence gives pregnant women another avenue for receiving healthcare information. With the advancement of information and communication technology, searching online for pregnancy information has become commonplace during COVID-19. This study aimed to explore pregnant women’s information-seeking behavior based on data mining and text analysis in China. Posts on maternal and infant-related websites were collected during 1 June 2020, and 31 January 2021. A total of 5,53,117 valid posts were obtained. Based on the data, we performed correlation analysis, topic analysis, and sentiment analysis. The correlation analysis showed the positive effects of population, population with a college education or above, and GDP on post counts. The topic analysis extracted six, nineteen, eighteen, thirteen, eleven, sixteen, thirteen, sixteen, nineteen, and fourteen topics in different months of pregnancy, reflecting different information needs in various pregnancy periods. The results of sentiment analysis show that a peak of the posts emerged in the second month of pregnancy and the proportion of emotionally positive posts reached its peak in the sixth month of pregnancy. The study provides important insights for understanding pregnant women’s information-seeking behavior.
Relationships between job satisfaction, organizational commitment, burnout and job performance of healthcare professionals in a district-level health care system of Shenzhen, China
Authors: Wang Xin , Li Chaofan , Chen Yuanqing , Zheng Caiyun , Zhang Fei , Huang Yixiang , Birch Stephen
Published: November 2022

Background

Existing research indicates that job satisfaction has effects on job performance, but little evidence exists about the mechanism through which the satisfaction-performance association operates. This study aims to examine the effect of job satisfaction on job performance in a district-level health care system of China and to explore the effect mechanism mediated by organizational commitment and burnout.

Methods

Cluster sampling was used in this study. All healthcare professionals in the Nanshan Medical Group, who were at work in the last 3 months and able to complete online questionnaire independently were invited to participate the anonymous online survey. Job satisfaction, organizational commitment, burnout and job performance were measured by tools, which have been validated in China. Descriptive statistics were used for the socio-demographic variables and the four job psychological variables. Pearson correlation coefficients was used to determine associations among each of the psychological variables. Linear regression was used to examine association between job performance and other three psychological variables. PROCESS macro was used to examine the mediation effects of organizational commitment and burnout on the association between job satisfaction and performance.

Results

In total, 1,200 healthcare professionals completed the anonymous online survey. Job satisfaction, organizational commitment, and job performance were positively correlated with one another, with burnout negatively correlated with them. Linear regression revealed that demographic characteristics, job satisfaction, organizational commitment, and burnout explained 5, 6, 2, and 9% of the variance in job performance. Path analysis showed that the coefficient of the direct effect of job satisfaction on job performance was 0.18, the coefficients of the indirect effects of job satisfaction on job performance through organizational commitment and burnout were 0.17 and 0.37, respectively. The coefficients of the indirect effects of organizational commitment on job performance through burnout was −0.04, but it was not significant.

Conclusion

It is promising to improve job performance of providers in Chinese healthcare systems by improving job satisfaction and reducing burnout. Tailored support policies for female healthcare professionals, appropriate incentive mechanisms and improving multidisciplinary healthcare delivery are potential to improve job performance of healthcare professionals in integrated healthcare systems.
Depression moderates the association between pregnancy and suicidal ideation among pregnant and non-pregnant reproductive age women in Brazil
Authors: Faisal-Cury Alexandre , Tabb Karen M. , Maruyama Jessica Mayumi , Matijasevich Alicia
Published: November 2022

Background

Maternal mental health problems are a serious public health concern. Previous data reported that pregnancy might have a protective effect against suicide. In contrast, more recent studies suggested that the prevalence of suicidal ideation (SI) is higher among pregnant women compared to the general population. Using a nationally representative population-based sample of Brazilian reproductive-aged women, this study aims to assess whether SI is more prevalent among pregnant women in comparison with nonpregnant woman.

Methods

We used data from the Brazilian National Health Survey (PNS) of 2019, a cross-sectional study that comprised a representative sample of residents in private households in Brazil. For the analysis of this study, we selected women aged between 15 and 49 years old who have answered the questionnaire of the Selected Resident of the PNS, which comprised a sample of 27,249 women. Logistic regression models were performed to obtain crude and adjusted odds ratios (OR) and 95% confidence intervals (95%CI) for the association between pregnancy status and SI.

Results

The prevalence of SI during pregnancy was 6.8% (95% CI: 6.2–7.4). The association between pregnancy status and SI was modified according to the recent clinical diagnosis of depression (interaction term: OR = 41.72, 95% CI: 5.64–308.45, p < 0.001). Our findings indicated that among nondepressed women, pregnancy status seems to decrease the probability of SI. Additionally, SI is associated with a vulnerable profile that includes being an adolescent, having an unpartnered/not married status, lower family income, lower education, and a recent clinical diagnosis of depression.

Conclusion

SI is a common problem for reproductive-age women. In the presence of a recent depression clinical diagnosis, pregnancy increases the risk of SI. Management of SI among pregnant women should correctly identify sociodemographic risk factors and the presence of a recent clinical diagnosis of depression.
Strategies to strengthen non-governmental organizations' participation in the Iranian health system
Authors: Sanadgol Arman , Doshmangir Leila , Majdzadeh Reza , Gordeev Vladimir Sergeevich
Published: November 2022

Background

Non-governmental organizations (NGOs) added a new dimension to intersectoral action for health. Involving the NGOs in health system strengthening could lead to a more efficient, equitable, and better-governed healthcare system. This qualitative study explored effective strategies for NGO participation in the Iranian health system to achieve broader health system goals.

Method

We conducted 33 semi-structured interviews with health policymakers and planners, NGO actors at the national and provincial levels, and other key informants. The qualitative data were analyzed through a thematic analysis approach. Trustworthiness in the study was observed at all stages of the study.

Result

Four main themes- were identified: empowerment for learning leadership and management skills, creating active participation in policy-making, capacity building for participation, clarifying participation process, falling into 17 sub-themes. Along with the government and health sector policymakers, NGOs may have a significant role in improving health system goals and increasing equity, social responsiveness, financial risk protection, and efficiency.

Conclusion

The participation of NGOs in the Iranian health system is a complex process. All elements and dimensions of this process need to be considered when developing a platform for the appropriate participation of NGOs in the health system functions. Evidence-informed strategies for strengthening the participation of NGOs in the health system should be used to utilize NGOs potential to the fullest.
In situ organic biosignature detection techniques for space applications
Authors: Abrahamsson Victor , Kanik Isik
Published: November 2022

The search for life in Solar System bodies such as Mars and Ocean Worlds (e.g., Europa and Enceladus) is an ongoing and high-priority endeavor in space science, even ∼ five decades after the first life detection mission at Mars performed by the twin Viking landers. However, thein situdetection of biosignatures remains highly challenging, both scientifically and technically. New instruments are being developed for detecting extinct or extant life on Mars and Ocean Worlds due to new technology and fabrication techniques. These instruments are becoming increasingly capable of both detecting and identifyingin situorganic biosignatures that are indicative of life and will play a pivotal role in the search for evidence of life through robotic lander missions. This review article gives an overview of techniques used for space missions (gas chromatography, mass spectrometry, and spectroscopy), the further ongoing developments of these techniques, and ion mobility spectrometry. In addition, current developments of techniques used in the next-generation instruments for organic biosignature detection are reviewed; these include capillary electrophoresis, liquid chromatography, biosensors (primarily immunoassays), and nanopore sensing; whereas microscopy, biological assays, and isotope analysis are beyond the scope of this paper and are not covered.
Forearm bone mineral density as a predictor of reduction loss in distal radius fractures treated with cast immobilization
Authors: Cho Sung Tan , Kim Jin Hwan , Lee Sung San , Lee Yong Jae , Lee Hyun Il
Published: November 2022

Objective

Many potential predictors have been identified and proposed for predicting late reduction loss in distal radius fractures. However, no report exists on whether the bone mineral density (BMD) of the forearm correlates with the loss of reduction in distal radius fractures. This study aimed to investigate whether forearm BMD can be used as a predictor of reduction loss in distal radius fractures treated with cast immobilization.

Methods

Ninety patients with distal radius fractures were divided into two groups according to the maintenance or loss of reduction evaluated from radiographs taken at least 6 weeks after their injury. Lumbar and forearm BMD (total and metaphysis) T-scores were measured and compared between the maintenance of reduction (MOR) group and the loss of reduction (LOR) group. Additionally, serologic markers (C-terminal telopeptide, osteocalcin, vitamin D) and radiologic risk factors (intra-articular fracture, ulnar fracture, dorsal comminuted fracture, volar hook) were evaluated and a logistic multiple regression analysis was performed to know the main risk factors of reduction loss.

Results

Reduction loss was observed in 38 patients (42.2%). The total and metaphyseal BMD of the forearm was less in the LOR group than in the MOR group. However, the difference was not statistically significant [−2.9 vs. −2.5 for total (p = 0.18), −2.3 vs. −2.0 for metaphysis (p = 0.17)]. Multiple logistic regression analysis showed initial dorsal comminution (p = 0.008) and ulnar variance (p = 0.01) were the main risk factors for reduction loss.

Conclusions

Forearm BMD was not a valuable prognostic factor for reduction loss in distal radius fractures. Initial dorsal comminution and ulnar variance rather than forearm BMD should be considered preferentially when predicting which patients are at high risk of reduction loss in distal radius fractures.
Unveiling of the epidemiological patterns for caprine/ovine enterovirus infection in China
Authors: Hu Junying , Chang Xiaoran , Wang Rudu , Zhang Qun , Zhang Fan , Zhang Zhiyuan , Zhang Fuhui , Qian Mingzhu , Wang Xinping
Published: November 2022

Caprine/ovine enterovirus (CEV/OEV) infection is an emerging disease and remains largely unknown for its infection distribution, epidemic pattern, and the underlying contribution factors. Here, we report the investigation on CEV/OEV infection pattern and the underlying contribution factors by employing a sandwich ELISA kit for detection of CEV/OEV antigen. Epidemiological investigation revealed a wide range of infection rates of CEV/OEV from 19.80%−39.00% on goat/sheep farms in the major goat/sheep-raising provinces as such Henan, Shandong, Ningxia, Jilin, Inner Mongolia autonomous region, and Xinjiang autonomous region in China. Epidemic patterns and infection rates for CEV/OEV were affected by the breeds, raising mode, regions, and seasons. CEV/OEV infection rates were varied in different regions in China and significantly higher in the diarrheal herds (40.30%) than these in non-diarrheal herds (13.83%). Moreover, infection rate was higher in sheep (24.59%) than that in goats (9.84%), even dramatic difference among different breeds of goat or sheep. Out of different breeds of goat, Boer (20.13%) had the highest infection rate, followed by local breed (5.62%) and Saanen (2.61%). Among these breeds of sheep, higher infection rates were detected in local breed sheep (42.86%) and small-tailed Han sheep (35.91%) than these of Hu sheep (13.41%) and Dorper sheep (16.34%). Furthermore, raising modes were showed to contribute to the infection rate, where higher rates were detected among goats/sheep in captivity (27.10%) than these in free-range (12.27%) and semi-free range (19.24%). Additionally, CEV/OEV infection rate had obvious seasonality, while they increased from year 2015 to 2019. In summary, we investigated the CEV/OEV infection among the goat/sheep herds from different regions in China, revealed the epidemic pattern and the contribution factors to the infection, which provided the epidemiological data for future prevention and control of this emerging infection.
Statistics and Machine Learning in Aviation Environmental Impact Analysis: A Survey of Recent Progress
Authors: Gao Zhenyu , Mavris Dimitri N.
Published: November 2022

The rapid growth of global aviation operations has made its negative environmental impact an international concern. Accurate modeling of aircraft fuel burn, emissions, and noise is the prerequisite for informing new operational procedures, technologies, and policies towards a more sustainable future of aviation. In the past decade, due to the advances in big data technologies and effective algorithms, the transformative data-driven analysis has begun to play a substantial role in aviation environmental impact analysis. The integration of statistical and machine learning methods in the workflow has made such analysis more efficient and accurate. Through summarizing and classifying the representative works in this intersection area, this survey paper aims to extract prevailing research trends and suggest research opportunities for the future. The methodology overview section presents a comprehensive development process and landscape of statistical and machine learning methods for applied researchers. In the main section, relevant works in the literature are organized into seven application themes: data reduction, efficient computation, predictive modeling, uncertainty quantification, pattern discovery, verification and validation, and infrastructure and tools. Each theme contains background information, in-depth discussion, and a summary of representative works. The paper concludes with the proposal of five future opportunities for this research area.
Multi-Objective Optimization for Improving Weight and Fault Characteristics of a DC HTS Cable in Cryo-Electric Aircraft
Authors: Sadeghi Alireza , Yazdani-Asrami Mohammad
Published: November 2022

The aim of the presented study is to optimize the different classes of high-temperature superconducting (HTS) DC cables for improving their performances in a cryo-electric aircraft considering their weight, peak temperature during faults, and the ratio of current passing through each tape to the critical current of HTS tapes. These terms were interpreted into three objective functions, and a multi-objective optimization algorithm known as non-dominated sorting genetic algorithm II was used to find the optimal solution clusters. The cable optimization was conducted for different former materials by changing the former thickness and radius. Results showed that the DC HTS cables with aluminum former have the lowest weight while cables with copper formers have the best thermal performance against faults.
GIS-Based Spatial Patterns Analysis of Airspace Resource Availability in China
Authors: Gao Qi , Hu Minghua , Yang Lei , Zhao Zheng
Published: November 2022

Identifying the factors influencing airspace resources, quantifying the availability of airspace resources, and mastering their spatial distribution characteristics are the cornerstone of scientific and efficient airspace management. Therefore, this paper investigates the impact of prohibited, restricted, and dangerous areas (PRDs) on airspace resource availability from a traffic flow perspective, proposes a multi-layer network model, and establishes a flow-based sector resource availability (FSRA) calculation model. The FSRA in mainland China is calculated above the standard pressure altitude of 6000 m. The results show that the FSRA is lower when the sector is determined to have a higher PRD density, a more complex traffic flow pattern, and a more sophisticated interaction between the two. China’s mainland airspace is separated into three altitude ranges along the vertical direction according to the FSRA and sector distribution: 6000–7800 m, 7800–8900 m, and 8900–12,500 m. The spatial distribution characteristics of the FSRA are addressed using the ArcGIS software. The results demonstrate that spatial autocorrelation is exhibited for all three altitude ranges. The high–high cluster pattern mainly occurs in the western part of mainland Chinese airspace, while the low–low cluster pattern is distributed in the southeast. The three altitude ranges are divided into three groups, respectively, and suggestions for airspace management are made for each group.
Sizing Methodology and Energy Management of an Air–Ground Aircraft with Turbo-Electric Hybrid Propulsion System
Authors: Bai Mingliang , Yang Wenjiang , Li Jianwei , Kosuda Marek , Fozo Ladislav , Kelemen Miroslav
Published: November 2022

This paper proposes a distributed turbo-electric hybrid propulsion system (TEHPS) architecture for high-power and large-load air–ground aircraft (AGA). The composition of the turboshaft engine, hybrid energy storage system (HESS) as the power unit, distributed electric drive ducted fans, and wheels as the propulsion unit is determined. Firstly, the modeling of each component in the TEHPS is carried out, and system power, energy, and weight analysis are conducted under the different operating modes. Sizing parameters of main components are selected based on a genetic algorithm to obtain the optimal total weight and propulsion efficiency, and the energy management framework from the upper level to the lower level is completed by adopting an equivalent consumption minimum strategy and fuzzy logic control. Under the air–ground amphibious mission profile, the simulation results indicate that the TEHPS can achieve a 21.80% fuel consumption and CO2 emission optimization rate at the cost of 10.53% increase in the whole aircraft mass compared to the oil-only powertrain. The HESS can account for up to 29% and 33.56% of the energy and power ratios in the TEHPS, and reduce mass by 8.1% and volume by 3.77% compared to the single energy storage, which may provide theoretical insights for the powertrain composition form, sizing, and energy management of future hybrid air–ground aircraft.
Inverse Optimal Zero Effort Miss Guidance Based on Disturbance Observer
Authors: Ma Biao , Chen Mou , Shen Yaohua , Lungu Mihai
Published: November 2022

To intercept a maneuvering target in a two-dimensional plane, the inverse optimal guidance law based on zero effort miss (ZEM) and disturbance observer (DO) is studied in this paper. Firstly, the relative kinematics equation is simplified to obtain the missile-target ZEM and its dynamics. In order to enhance the robustness of the inverse optimal guidance law, the integral of the ZEM is introduced as a new state to form an augmented system with the original system based on the idea of proportional integral (PI) control. Then, the target maneuver acceleration is assumed as the unknown external disturbance of the guidance augmented system, which is estimated by the DO. Based on the estimated value of DO and the backstepping method, the inverse optimal guidance law is designed to reduce the adverse effect of the disturbance on the guidance system. Finally, simulations are designed to verify the effectiveness of the inverse optimal guidance method based on DO.
Deep-Learning-Based Satellite Relative Pose Estimation Using Monocular Optical Images and 3D Structural Information
Authors: Qiao Sijia , Zhang Haopeng , Meng Gang , An Meng , Xie Fengying , Jiang Zhiguo
Published: November 2022

Relative pose estimation of a satellite is an essential task for aerospace missions, such as on-orbit servicing and close proximity formation flying. However, the changeable situation makes precise relative pose estimation difficult. This paper introduces a deep-learning-based satellite relative pose estimation method for monocular optical images. The method is geared towards uncooperative target satellites with known 3D models. This paper proposes a novel convolutional neural network combined with 3D prior knowledge expressed by the 3D model in the form of the point cloud. The method utilizes point cloud convolution to extract features from the point cloud. To make the result more precise, a loss function that is more suitable for satellite pose estimation tasks is designed. For training and testing the proposed method, large amounts of data are required. This paper constructs a satellite pose estimation dataset BUAA-SID-POSE 1.0 by simulation. The proposed method is applied to the dataset and shows desirable performance on the pose estimation task. The proposed technique can be used to accomplish monocular vision-based relative pose estimation tasks in space-borne applications.
A Car-Following Model with the Acceleration Generalized Force Coupled with External Resistance and the Temporal-Spatial Distribution of Battery Decline
Authors: Gao Yanfei , Lin Hai , Yi Fengyan , Zhou Xuesheng , Qi Long , Li Yalun
Published: November 2022

A novel energy storage mode based on the vehicle-to-grid (V2G) and vehicle-to-vehicle (V2V) concept will be greatly researched and applied as a new green solution to energy and environmental problems. However, the existing research on battery capacity decline in V2G applications has mainly focused on modeling the battery capacity to investigate its decline during vehicle charging and discharging, in order to reduce the battery capacity decline and evaluate its economics. A car-following model with the acceleration generalized force coupled with external resistance is proposed in the paper. A linear stability analysis was used to analyze the stability of the model. The stability of the traffic flow was improved when the value of the resistance coefficient increases. Then, the currents of different vehicles were also calculated according to the velocities. Moreover, the effect of different physical characteristics of driving on the decline of distributed energy storage batteries in the Internet of Vehicles (IoV) was investigated. The results suggest that in different road types and road slopes, vehicles which are at the end of the platoon position have less battery capacity degradation and better battery condition. It provides a reference for subsequent research related to V2G energy storage in the context of vehicle networking.
Non-Invasive Pulsatile Shear Stress Modifies Endothelial Activation; A Narrative Review
Authors: Adams Jose A. , Uryash Arkady , Lopez Jose R.
Published: November 2022

The monolayer of cells that line both the heart and the entire vasculature is the endothelial cell (EC). These cells respond to external and internal signals, producing a wide array of primary or secondary messengers involved in coagulation, vascular tone, inflammation, and cell-to-cell signaling. Endothelial cell activation is the process by which EC changes from a quiescent cell phenotype, which maintains cellular integrity, antithrombotic, and anti-inflammatory properties, to a phenotype that is prothrombotic, pro-inflammatory, and permeable, in addition to repair and leukocyte trafficking at the site of injury or infection. Pathological activation of EC leads to increased vascular permeability, thrombosis, and an uncontrolled inflammatory response that leads to endothelial dysfunction. This pathological activation can be observed during ischemia reperfusion injury (IRI) and sepsis. Shear stress (SS) and pulsatile shear stress (PSS) are produced by mechanical frictional forces of blood flow and contraction of the heart, respectively, and are well-known mechanical signals that affect EC function, morphology, and gene expression. PSS promotes EC homeostasis and cardiovascular health. The archetype of inducing PSS is exercise (i.e., jogging, which introduces pulsations to the body as a function of the foot striking the pavement), or mechanical devices which induce external pulsations to the body (Enhanced External Pulsation (EECP), Whole-body vibration (WBV), and Whole-body periodic acceleration (WBPA aka pGz)). The purpose of this narrative review is to focus on the aforementioned noninvasive methods to increase PSS, review how each of these modify specific diseases that have been shown to induce endothelial activation and microcirculatory dysfunction (Ischemia reperfusion injury-myocardial infarction and cardiac arrest and resuscitation), sepsis, and lipopolysaccharide-induced sepsis syndrome (LPS)), and review current evidence and insight into how each may modify endothelial activation and how these may be beneficial in the acute and chronic setting of endothelial activation and microvascular dysfunction.
Frontiers of Targeted Therapy and Predictors of Treatment Response in Systemic Sclerosis
Authors: Tomcik Michal
Published: November 2022

Systemic sclerosis (scleroderma, SSc) is one of the most challenging rheumatic diseases, characterized by vasculopathy, dysregulation of the immune response, and progressive tissue fibrosis affecting the skin, lungs, heart, digestive tract, and kidneys [...]