bluuebunny/crossref_metadata_2025 huggingface dataset:
Livelihood adaptive capacities and adaptation strategies of relocated households in rural China
Authors: Liu Wei , Cheng Yuan , Li Jie , Feldman Marcus
Published: December 2022

Adaptation to environmental change is the focus of sustainability research. Rural households face multiple environmental and social pressures due to global environmental change, so effective livelihood changes must be made to reduce capability losses and adapt to current or future livelihood challenges. Livelihood adaptive capacity and its evaluation provide a new framework for research into the livelihoods of relocated households, we attempt to evaluate the livelihood adaptive capacity of rural households in disaster resettlement areas and to explore how disaster resettlement affects the choice of adaptation strategies. Taking the case of southern Shaanxi as an example, this paper selects indicators from the dimensions of awareness, ability, and action. An index system is constructed for evaluation of farmers' livelihood adaptive capacity, and factors influencing the adaptation strategy are identified by using the multinominal probit regression model. The analysis shows: (1) the most adaptation strategies adopted after disaster resettlement are “expansion strategy,” “expansion and adjustment strategy,” “expansion and assistance strategy,” and “expansion and adjustment and assistance strategy”; (2) disaster avoidance relocation has a significant impact on expansion strategies, and whether centralized resettlement has a significant effect on the choice of “expansion strategy” and “expansion and adjustment strategy”; and (3) household size, physical assets, and skills training also have a significant impact on the choice of adaptation strategies. Local governments should increase the assistance to the relocated households, improve the households' livelihood adaptive capacity, and encourage adoption of the most favorable adaptation strategies.
Black soldier fly larvae used for environmental enrichment purposes: Can they affect the growth, slaughter performance, and blood chemistry of medium-growing chickens?
Authors: Bongiorno Valentina , Gariglio Marta , Zambotto Valeria , Cappone Eleonora Erika , Biasato Ilaria , Renna Manuela , Forte Claudio , Coudron Carl , Bergagna Stefania , Gai Francesco , Schiavone Achille
Published: December 2022

Introduction

This research has been aimed at evaluating the effects of live black soldier fly larvae (BSFL) (Hermetia illucens) on the growth, slaughtering performance, and blood parameters of medium-growing chickens.

Methods

A total of 240, 28-day-old, Label Rouge Naked Neck chickens were allotted to four experimental groups, according to the gender (males-females) and to the absence (control group, C) or presence (larvae group, L) of a dietary supplementation with 10% live BSFL, on the basis of the expected average daily feed intake (ADFI) (6 replicates/diet, 10 chickens/replicate). The birds were weighed weekly, and the feed consumption was recorded to calculate the average live weight, feed conversion ratio (FCR), average daily gain (ADG), and the ADFI. At 82 days of age, 2 birds/replicate (12 birds/diet) were selected and slaughtered. The blood samples were collected, and the carcass traits (carcass, breast, thigh, and organ weights and yields) were assessed.

Results and discussions

Overall, the administered live BSFL did not impair the growth and slaughtering performance, or the blood traits, while the C females showed a better FCR than the treated ones (P < 0.05). The live BSFL consumption time was longer for the females than for the males (P < 0.001). The weight of the immune organs (spleen and bursa of Fabricius) increased as the live BSFL supplementation increased (P < 0.05). Furthermore, the provision of live BSFL reduced the gamma glutamyl transferase (GGT, U/l) activity content in the blood (P < 0.05). Finally, both the leukocytes (%) and the monocytes (%) were more abundant in the C groups than in the larvae ones (P < 0.05 and P < 0.01, respectively). In short, the supplementation of live BSFL can be used successfully as an environmental enrichment, without affecting the growth performance of male birds. Furthermore, the immune organ activity could be enhanced by the provision of live BSFL.
PARP-1 genetic polymorphism associated with radiation sensitivity of non-small cell lung cancer
Authors: Wang Hetong , Xie Haitao , Wang Shuying , Zhao Jiaying , Gao Ya , Chen Jun , Zhao Yuxia , Guo Genyan
Published: December 2022

About 70% of non-small cell lung cancer (NSCLC) patients require radiotherapy. However, due to the difference in radiation sensitivity, the treatment outcome may differ for the same pathology and choice of treatment. Poly (ADP-ribose) polymerase 1 (PARP-1) is a key gene responsible for DNA repair and is involved in base excision repair as well as repair of single strand break induced by ionizing radiation and oxidative damage. In order to investigate the relationship between PARP-1 gene polymorphism and radiation sensitivity in NSCLC, we collected 141 primary NSCLC patients undergoing three-dimensional conformal radiotherapy. For each case, the gross tumor volumes (GTV) before radiation and that after 40 Gy radiation were measured to calculate the tumor regression rate. TaqMan real-time polymerase chain reaction was performed to genotype the single-nucleotide polymorphisms (SNPs). Genotype frequencies for PARP-1 genotypes were 14.2% for C/C, 44.7% for C/G and 41.1% for G/G. The average tumor regression rate after 40 Gy radiation therapy was 35.1% ± 0.192. Tumor regression rate of mid-term RT of C/C genotype was 44.6% ± 0.170, which was higher than that of genotype C/G and G/G (32.4% ± 0.196 and 34.8% ± 0.188, respectively) with statistical significance (F = 3.169 p = 0.045). The higher tumor regression rate in patients with C/C genotype suggested that G allele was a protective factor against radiation therapy. Using the median tumor regression rate of 34%, we divided the entire cohort into two groups, and found that the frequency distribution of PARP-1 gene rs3219073 had significant difference between these two groups (p < 0.05). These results showed that PARP-1 gene polymorphism may affect patient radiation sensitivity and predict the efficacy of radiotherapy. It therefore presents an opportunity for developing new therapeutic targets to improve radiotherapy outcome.
Influence of the Measurements Uncertainties in the Correlation of Spacecraft Thermal Models against Thermal Results
Authors: Garmendia Iñaki , Anglada Eva
Published: December 2022

Ground thermal tests are always mandatory before any space mission is flown into space. The collected results of these tests are mainly temperatures of the different parts of the spacecraft (nodes) for different mission scenarios. The measured temperatures always show differences with the expected values coming from the computer thermal mathematical models. The origin of these differences is partially related to the inherent error coming from physical measurements. The thermal parameters that compose the computer thermal mathematical models must always be correlated with the results coming from tests. This paper studies, through three thermal models, the difficulties that are found in the correlation process when the measured temperatures reach a certain level of error. Thermal parameters become more difficult to be identified when the measurement error level increases. However, the temperature fields obtained with these poor thermal parameters are good enough for the mission thermal analysis. Several error levels, different load cases and correlation for steady-state and transient cases are studied to probe these findings.
An Approach to the Preliminary Sizing and Performance Assessment of Spaceplanes’ Landing Parafoils
Authors: Rimani Jasmine , Viola Nicole , Saluzzi Antonio
Published: December 2022

In this new era of space exploration, reusability and lower environmental impact are critical drivers in pursuing innovative solutions for access to space. One of these leading solutions is the Space Rider, a European reusable space plane with the ability to be both an “access to space” and a “return from space”. Following the lesson learned from the Intermediate eXperimental Vehicle (IXV) design and testing, the Space Rider will be equipped with a parafoil to enhance manoeuvrability during landing. Politecnico di Torino (PoliTO), in collaboration with Thales Alenia Space Italy (TAS-I), has developed an integrated tool to assess the landing performances of spaceplanes equipped with parafoils during conceptual design. The presented approach fuses sizing, dynamic models, guidance and control algorithms to provide a software suite for the rapid prototyping, sizing and performance assessment of spaceplanes’ parafoils. This paper details the implementation, mathematical background, validation and lessons learned behind the different software modules.
Imidacloprid Disturbs the Nitrogen Metabolism and Triggers an Overall Stress Response in Maize Seedlings
Authors: Zhang Xingxing , Fu Hongkai , Wu Qihua , Chen Lijuan , Lu Yinglin , Gao Shuai
Published: December 2022

Imidacloprid (IMI) protects crops from pests; however, its potential toxicity to plants and underlying mechanisms are still poorly understood. We investigated the effects of IMI on maize seedlings under different nitrogen sufficiency conditions. Our measurement of the maize seedlings’ growth traits and physiological indicators found that a 5 ppm IMI treatment stunted the maize’s growth and enhanced membrane lipid peroxidation under a nitrogen-supplied condition, but that it promoted an increase in biomass and alleviated chlorosis in maize shoots under nitrogen deficiency. These results suggest that IMI causes serious toxicity in maize seedlings under nitrogen-sufficient conditions. The content of IMI indicated that the leaf was the main site of IMI accumulation in maize, and that NO3− was beneficial for the transportation of IMI from the roots to the leaves. The three groups of seedlings, which received 0 (−N), 4 (N) or 10 mmol L−1 NO3− (NN), were either treated or not treated with 5 ppm IMI. The six sets of transcriptome profiles from the shoots and roots were compared using Illumina sequencing. Transcriptome analysis revealed that IMI treatment led to changes in the expression of the genes involved in multiple biological processes, including nitrate transporter, nitrogen assimilation, nitrogen-regulatory factors, detoxification-related genes and several antioxidant-related genes in maize roots. The above results and the data for the nitrate content, glutamine synthetase activities and nitrate reductase activities showed that IMI disturbed nitrogen absorption and metabolism in maize seedlings. Glutathione S-transferase genes, C-type ATP-binding cassette (ABC) transporter 4, anthocyanins and lignin may play an important role in the detoxification of IMI in maize. These findings have helped us to elaborate the underlying detoxification mechanisms of IMI in plants, which is highly important in the cultivation of anti-pesticide crop varieties.
Short Communication: Evaluation of Intestinal Release of Butyric Acid from Sodium Butyrate Protected by Salts of Medium-Chain Fatty Acids in Broiler Chickens
Authors: Sadurní Meritxell , Barroeta Ana Cristina , Sol Cinta , Puyalto Mónica , Castillejos Lorena
Published: December 2022

Butyric acid has received great attention as a feed additive to maintain or increase the gut integrity and health of broiler chickens. Particularly, the protection of butyrate is under research to allow slow intestinal release of butyric acid and to promote its beneficial effects throughout the intestine. This study evaluated in vivo the intestinal release of butyric acid from sodium butyrate protected by salts of medium-chain fatty acid in broilers. Brilliant blue was used as an inert marker, so it was included in the feed additive that broilers ingested for two days. The gastrointestinal tract was then colored in blue from jejunum and backward. Considering the digesta color of the broilers non-supplemented as blank, it allowed quantification of the amount of brilliant blue, and consequently, butyric acid delivered in the intestine from the protected feed additive. Few traces of butyric acid were released in the duodenum and proximal jejunum, whereas the major amount (45.9%) was delivered in the distal ileum (p < 0.001). These results suggest that this in vivo approach allows for evaluation of the intestinal delivery of butyric acid supplemented as protected sodium butyrate by medium-chain fatty acids, showing a gradual intestinal release of butyric acid in broiler chickens.
Retrospective Evaluation of the Most Frequently Observed Histological Changes in Duodenal and Rectal Mucosal Biopsies in Horses with Recurrent Colic
Authors: Siwińska Natalia , Żak-Bochenek Agnieszka , Paszkowska Marzena , Karczewski Maciej , Długopolska Dorota , Haider Wolfram
Published: December 2022

Colic, a condition affecting the gastrointestinal tract of horses, manifests as severe pain and may be a life-threatening condition. It is possible to distinguish between an acute, disposable process, as well as recurrent colic symptoms (abdominal pain) caused by an ongoing chronic inflammatory process. This paper presents a retrospective analysis of the histopathological findings of duodenal and rectal samples taken from horses with recurrent colic, with the aim to determine the frequency and extent of inflammation. The samples, i.e., duodenal biopsy (60 samples) and rectal biopsy (17 samples), were taken from 77 horses showing recurrent colic symptoms. Histopathological examination included staining with hematoxylin and eosin. The examination included evaluation of the superficial epithelium, mucosal lamina propria, and submucosa. All samples from the duodenum and rectum showed the presence of leukocyte infiltration in the mucosal lamina propria. The most frequently observed cellular infiltration was a moderate infiltration consisting of lymphocytes and plasma cells in duodenum and mixed populations of plasma cells, lymphocytes, and eosinophilia in the rectum. Mott cells were also noted among the inflammatory infiltrates. More than one-fourth of the horses were found to have shortened intestinal villi. The results presented here showed the involvement of inflammation in the course of recurrent colic, which can be both its cause (by impairing motility and absorption) and its effect (as a result of obstruction or ischemia).
Variation in Hypothalamic GnIH Expression and Its Association with GnRH and Kiss1 during Pubertal Progression in Male Rhesus Monkeys (Macaca mulatta)
Authors: Zubair Hira , Saqib Muhammad , Khan Muhammad Noman , Shamas Shazia , Irfan Shahzad , Shahab Muhammad
Published: December 2022

Modulation of pulsatile gonadotropin-releasing hormone (GnRH) secretion across postnatal development in higher primates is not fully understood. While gonadotropin-inhibitory hormone (GnIH) is reported to suppress reproductive axis activity in birds and rodents, little is known about the developmental trajectory of GnIH expression in rhesus monkeys throughout the pubertal transition. This study was aimed at examining the variation in GnIH immunoreactivity (-ir) and associated changes among GnIH, GnRH, and Kiss1 mRNA expression in the hypothalamus of infant, juvenile, prepubertal, and adult male rhesus monkeys. The brains from rhesus macaques were collected from infancy until adulthood and were examined using immunofluorescence and RT-qPCR. The mean GnIH-ir was found to be significantly higher in prepubertal animals (p < 0.01) compared to infants, and significantly reduced in adults (p < 0.001). Significantly higher (p < 0.001) GnRH and Kiss1 mRNA expression was noted in adults while GnIH mRNA expression was the highest at the prepubertal stage (p < 0.001). Significant negative correlations were seen between GnIH-GnRH (p < 0.01) and GnIH-Kiss1 (p < 0.001) expression. Our findings suggest a role for GnIH in the prepubertal suppression of the reproductive axis, with disinhibition of the adult reproductive axis occurring through decreases in GnIH. This pattern of expression suggests that GnIH may be a viable target for the development of novel therapeutics and contraceptives for humans.
Comparative Study of Various Neural Network Types for Direct Inverse Material Parameter Identification in Numerical Simulations
Authors: Meißner Paul , Hoppe Tom , Vietor Thomas
Published: December 2022

Increasing product requirements in the mechanical engineering industry and efforts to reduce time-to-market demand highly accurate and resource-efficient finite element simulations. The required parameter calibration of the material models is becoming increasingly challenging with regard to the growing variety of available materials. Besides the classical iterative optimization-based parameter identification method, novel machine learning-based methods represent promising alternatives, especially in terms of efficiency. However, the machine learning algorithms, architectures, and settings significantly affect the resulting accuracy. This work presents a comparative study of different machine learning algorithms based on virtual datasets with varying settings for the direct inverse material parameter identification method. Multilayer perceptrons, convolutional neural networks, and Bayesian neural networks are compared; and their resulting prediction accuracies are investigated. Furthermore, advantages in material parameter identification by uncertainty quantification using the Bayesian probabilistic approach are examined and discussed. The results show increased prediction quality when using convolutional neural networks instead of multilayer perceptrons. The assessment of the aleatoric and epistemic uncertainties when using Bayesian neural networks also demonstrated advantages in evaluating the reliability of the predicted material parameters and their influences on the subsequent finite element simulations.
Lightweight Dual Mutual-Feedback Network for Artificial Intelligence in Medical Image Super-Resolution
Authors: Wang Beibei , Yan Binyu , Jeon Gwanggil , Yang Xiaomin , Liu Changjun , Zhang Zhuoyue
Published: December 2022

As a result of hardware resource constraints, it is difficult to obtain medical images with a sufficient resolution to diagnose small lesions. Recently, super-resolution (SR) was introduced into the field of medicine to enhance and restore medical image details so as to help doctors make more accurate diagnoses of lesions. High-frequency information enhances the accuracy of the image reconstruction, which is demonstrated by deep SR networks. However, deep networks are not applicable to resource-constrained medical devices because they have too many parameters, which requires a lot of memory and higher processor computing power. For this reason, a lightweight SR network that demonstrates good performance is needed to improve the resolution of medical images. A feedback mechanism enables the previous layers to perceive high-frequency information of the latter layers, but no new parameters are introduced, which is rarely used in lightweight networks. Therefore, in this work, a lightweight dual mutual-feedback network (DMFN) is proposed for medical image super-resolution, which contains two back-projection units that operate in a dual mutual-feedback manner. The features generated by the up-projection unit are fed back into the down-projection unit and, simultaneously, the features generated by the down-projection unit are fed back into the up-projection unit. Moreover, a contrast-enhanced residual block (CRB) is proposed as each cell block used in projection units, which enhances the pixel contrast in the channel and spatial dimensions. Finally, we designed a unity feedback to down-sample the SR result as the inverse process of SR. Furthermore, we compared it with the input LR to narrow the solution space of the SR function. The final ablation studies and comparison results show that our DMFN performs well without utilizing a large amount of computing resources. Thus, it can be used in resource-constrained medical devices to obtain medical images with better resolutions.
Interactive Parametric Design and Robotic Fabrication within Mixed Reality Environment
Authors: Buyruk Yusuf , Çağdaş Gülen
Published: December 2022

In this study, a method, in which parametric design and robotic fabrication are combined into one unified framework, and integrated within a mixed reality environment, where designers can interact with design and fabrication alternatives, and manage this process in collaboration with other designers, is proposed. To achieve this goal, the digital twin of both design and robotic fabrication steps was created within a mixed-reality environment. The proposed method was tested on a design product, which was defined with the shape-grammar method using parametric-modeling tools. In this framework, designers can interact with both design and robotic-fabrication parameters, and subsequent steps are generated instantly. Robotic fabrication can continue uninterrupted with human–robot collaboration. This study contributes to improving design and fabrication possibilities such as mass-customization, and shortens the process from design to production. The user experience and augmented spatial feedback provided by mixed reality are richer than the interaction with the computer screen. Since the whole process from parametric design to robotic fabrication can be controlled by parameters with hand gestures, the perception of reality is richer. The digital twin of parametric design and robotic fabrication is superimposed as holographic content by adding it on top of real-world images. Designers can interact with both design and fabrication processes both physically and virtually and can collaborate with other designers.
Model Interpretation Considering Both Time and Frequency Axes Given Time Series Data
Authors: Lee Woonghee , Kim Gayeon , Yu Jeonghyeon , Kim Younghoon
Published: December 2022

Recently, deep learning-based models have emerged in the medical domain. Although those models achieve high performance, it is difficult to directly apply them in practice. Specifically, most models are not considered reliable yet, while they are not interpretable. Therefore, researchers attempt to interpret their own deep learning applications. However, the interpretation is task specific or only appropriate for image data such as computed tomography (CT) scans and magnetic resonance imaging (MRI). Currently, few works focus on the model interpretation given time series data such as electroencephalography (EEG) and electrocardiography (ECG) using LIME. Because the explanation generated by LIME is from the permutation of the divided input data, the performance of interpretation is highly dependent on the split method. In the medical domain, for the time series data, existing interpretations consider only the time axis, whereas physicians take account of the frequency too. In this work, we propose the model interpretation using LIME considering both time and frequency axes. Our key idea is that we divide the input signal using graph-based image clustering after transforming it using short-time Fourier transform, which is utilized to capture the change of frequency content over time. In our experiments, we utilize real-world data, which is EEG signals recorded from patients during polysomnographic (PSG) studies, as well as prove that ours captures a significantly more critical explanation than the state-of-the-art. In addition, we show that the representation obtained by ours reflects the physician’s standard such as K-complexes and delta waves, which are considered strong evidence of the second sleep stage and a clue of the third sleep stage. We expect that our work can be applied to establish computer-aided diagnosis as well as to measure the reliability of deep learning models taking the time series into them.
Removal of Intra-Array Statics in Seismic Arrays Due to Variable Topography and Positioning Errors
Authors: Hanafy Sherif Mohamed , Al-Mashhor Abdullah , Al-Shuhail Abdullatif Abdulrahman
Published: December 2022

A receiver array is an arrangement of geophones used to enhance the signal-to-noise ratio (S/N) of seismic data. However, deviations from ideal array conditions can lead to the non-optimal performance of the array. This study investigates, quantitatively, the array performance in the presence of topographic variations and positioning errors using 2D seismic data acquired in eastern Saudi Arabia. A receiver array was laid over a sand dune with variable topography underlain by a flat sabkha that has a very shallow water table. The topographic variations and position errors were calculated from Differential Global Positioning System (D-GPS) measurements of source and receiver positions and elevations. The errors in receiver positions, measured relative to the ideal receiver spacing, gave a mean and standard deviation of about 0.35% and 1%, respectively. On the other hand, elevation errors (topographic variations) from a horizontal datum gave a mean and standard deviation of about 25% and 13%, respectively. The ideal array response was found by removing both elevation and position errors. The first-arrival energy of the array was calculated after removal of elevation and position errors separately and compared to the ideal-array energy. Comparison showed a 64% enhancement in the first-arrival energy after correcting for elevation errors alone and almost no enhancement after correcting for position errors alone. The proposed approach can be used to calculate accurate static corrections for seismic reflection processing and to generate high-resolution subsurface images for engineering applications.
Structure–Properties Relationship of Reprocessed Bionanocomposites of Plasticized Polylactide Reinforced with Nanofibrillated Cellulose
Authors: Gil-Castell O. , Wolf M. H. , Cea J. , Carrasco J. C. , Giacinti Baschetti M. , Ribes-Greus A.
Published: December 2022

Bionanocomposites of polylactide (PLA), plasticized with poly(ethylene glycol) (PEG) (7.5 wt%, 400 and 1500 g/mol) and reinforced with nanofibrillated cellulose (NFC) (1, 3, and 5 wt%) were sequentially compounded, and injection and compression molded. All of the stages caused structural and morphological consequences, more relevant in the plasticized PLA, especially with low molar PEG. Small percentages of NFC (1 and 3 wt%) acted as crystalline nucleating agents and improved thermo-oxidative stability. Given the substantial degradation caused by (re)processing, a downgrading validation strategy was applied, assessing the mechanical and water contact performance during fictional first and second service life applications. After the first processing, PEG increased the ductility and reduced the strength and elastic modulus, while NFC buffered the fall in stiffness and increased rigidity compared to their PLA-PEG counterparts. Once reprocessed, PEG increased the water affinity of the blend, especially for low molar mass PEG. Low percentages of NFC (1 and 3 wt%) modulated water diffusivity and permeability, regardless of the water temperature. Overall, although reprocessing caused significant degradation, the mechanical valorization possibilities of these green bionanocomposites were proven, and are pointed out as sustainable candidates for food packaging or agricultural applications where modulated mechanical or water contact behaviors are required.
Crack Segmentation on Earthen Heritage Site Surfaces
Authors: Zhang Yuan , Zhang Zhiyong , Zhao Wu , Li Qiang
Published: December 2022

Earthen heritage sites are historical relics left by ancient human activity, with earthen as the primary building material, and have significant historical, scientific, and artistic value. However, many sites have experienced extensive deterioration caused by environmental forces and human factors. A crack is a kind of typical damage to the walls of earthen heritage sites. Studies of the crack-formation process can effectively predict trends in damage, which will play a critical role in the maintenance of earthen heritage sites. This study is the first of its kind to propose a deep learning method to study the cracks on earthen heritage sites at the pixel-level, adopt the idea of transfer learning, and employ a mixed-crack image dataset for training three deep learning models. The precision, recall, IoU, and F1 metrics were used to evaluate the performance of the trained models. The experimental results showed that FPN-vgg16 appeared to have the highest level of applicability to detect cracks on earthen heritage sites among all networks, due to the highest F1 score of 84.40% and the highest IoU score of 73.11%. The results illustrated that the proposed method in this paper can effectively be used to analyze the rammed earth surface crack images, with great potential in related research fields.
Performance Evaluation of Fee-Charging Policies to Reduce the Carbon Emissions of Urban Transportation in China
Authors: Wang Huihui , Shi Wanyang , Xue Hanyu , He Wanlin , Liu Yuanyuan
Published: December 2022

As a market-based instrument for transportation demand management, a transport fee-charging policy can not only effectively reduce traffic congestion, but also improve air quality. Considering the urgent need to improve urban transport fee-charging policies and reduce transport carbon emissions, the paper focuses on the role of the performance of fee-charging policies in reducing the carbon emissions of urban transport. In this study, we propose a methodological framework for the performance evaluation of urban traffic carbon emission fee-charging policies. First, we analyze the current situation of the implementation of fee-charging policies and their relationship with urban traffic congestion. Subsequently, we analyze changing trends of carbon emissions associated with transportation travel in Beijing in recent years, to identify the main sources of carbon emissions from transport. Finally, we used the DEA method to evaluate the performance of the fee policies for urban transport, which are meant to reduce carbon emissions, analyze their implementation efficiency, and then discuss the main factors affecting their efficiency. The results show that with the implementation of fee-charging policies, urban traffic congestion has eased. The overall carbon dioxide (CO2) emissions from transportation in Beijing grew rapidly. CO2 emissions generated by car travel are the main source of carbon emissions from transportation in Beijing. The average value of the overall technical efficiency (TE) of Beijing’s fee-charging policies to reduce transportation carbon emissions from 2006 to 2018 is 0.962, indicating that the overall implementation of Beijing’s fee-charging policies has been effective. Adjustments to the fee structure reduce motor vehicle travel to an extent, increase the proportion of green travel, and reduce the intensity of transportation carbon emissions. The technical non-efficiency in Beijing’s fee-charging policy is mainly due to non-efficiency of scale, followed by pure technical non-efficiency. Appropriately adjusting the fee structures imposed by different policies would help to improve the efficiency of policy implementation.
Climate Change and Mental Health: A Review of Empirical Evidence, Mechanisms and Implications
Authors: Crane Katelin , Li Linda , Subramanian Pearl , Rovit Elizabeth , Liu Jianghong
Published: December 2022

Anthropogenic climate change is an existential threat whose influences continue to increase in severity. It is pivotal to understand the implications of climate change and their effects on mental health. This integrative review aims to summarize the relevant evidence examining the harm climate change may have on mental health, suggest potential mechanisms and discuss implications. Empirical evidence has begun to indicate that negative mental health outcomes are a relevant and notable consequence of climate change. Specifically, these negative outcomes range from increased rates of psychiatric diagnoses such as depression, anxiety and post-traumatic stress disorder to higher measures of suicide, aggression and crime. Potential mechanisms are thought to include neuroinflammatory responses to stress, maladaptive serotonergic receptors and detrimental effects on one’s own physical health, as well as the community wellbeing. While climate change and mental health are salient areas of research, the evidence examining an association is limited. Therefore, further work should be conducted to delineate exact pathways of action to explain the mediators and mechanisms of the interaction between climate change and mental health.
Engineering Human Mesenchymal Bodies in a Novel 3D-Printed Microchannel Bioreactor for Extracellular Vesicle Biogenesis
Authors: Jeske Richard , Chen Xingchi , Mulderrig Logan , Liu Chang , Cheng Wenhao , Zeng Olivia Z. , Zeng Changchun , Guan Jingjiao , Hallinan Daniel , Yuan Xuegang , Li Yan
Published: December 2022

Human Mesenchymal Stem Cells (hMSCs) and their derived products hold potential in tissue engineering and as therapeutics in a wide range of diseases. hMSCs possess the ability to aggregate into “spheroids”, which has been used as a preconditioning technique to enhance their therapeutic potential by upregulating stemness, immunomodulatory capacity, and anti-inflammatory and pro-angiogenic secretome. Few studies have investigated the impact on hMSC aggregate properties stemming from dynamic and static aggregation techniques. hMSCs’ main mechanistic mode of action occur through their secretome, including extracellular vesicles (EVs)/exosomes, which contain therapeutically relevant proteins and nucleic acids. In this study, a 3D printed microchannel bioreactor was developed to dynamically form hMSC spheroids and promote hMSC condensation. In particular, the manner in which dynamic microenvironment conditions alter hMSC properties and EV biogenesis in relation to static cultures was assessed. Dynamic aggregation was found to promote autophagy activity, alter metabolism toward glycolysis, and promote exosome/EV production. This study advances our knowledge on a commonly used preconditioning technique that could be beneficial in wound healing, tissue regeneration, and autoimmune disorders.
Bioengineering Liver Organoids for Diseases Modelling and Transplantation
Authors: Li Junzhi , Chu Jing , Lui Vincent Chi Hang , Chen Shangsi , Chen Yan , Tam Paul Kwong Hang
Published: December 2022

Organoids as three-dimension (3D) cellular organizations partially mimic the physiological functions and micro-architecture of native tissues and organs, holding great potential for clinical applications. Advances in the identification of essential factors including physical cues and biochemical signals for controlling organoid development have contributed to the success of growing liver organoids from liver tissue and stem/progenitor cells. However, to recapitulate the physiological properties and the architecture of a native liver, one has to generate liver organoids that contain all the major liver cell types in correct proportions and relative 3D locations as found in a native liver. Recent advances in stem-cell-, biomaterial- and engineering-based approaches have been incorporated into conventional organoid culture methods to facilitate the development of a more sophisticated liver organoid culture resembling a near to native mini-liver in a dish. However, a comprehensive review on the recent advancement in the bioengineering liver organoid is still lacking. Here, we review the current liver organoid systems, focusing on the construction of the liver organoid system with various cell sources, the roles of growth factors for engineering liver organoids, as well as the recent advances in the bioengineering liver organoid disease models and their biomedical applications.
High Risk, High Dose?—Pharmacotherapeutic Prescription Patterns of Offender and Non-Offender Patients with Schizophrenia Spectrum Disorder
Authors: Machetanz Lena , Günther Moritz Philipp , Lau Steffen , Kirchebner Johannes
Published: December 2022

Compared to acute or community settings, forensic psychiatric settings, in general, have been reported to make greater use of antipsychotic polypharmacy and/or high dose pharmacotherapy, including overdosing. However, there is a scarcity of research specifically on offender patients with schizophrenia spectrum disorders (SSD), although they make up a large proportion of forensic psychiatric patients. Our study, therefore, aimed at evaluating prescription patterns in offender patients compared to non-offender patients with SSD. After initial statistical analysis with null-hypothesis significance testing, we evaluated the interplay of the significant variables and ranked them in accordance with their predictive power through application of supervised machine learning algorithms. While offender patients received higher doses of antipsychotics, non-offender patients were more likely to receive polypharmacologic treatment as well as additional antidepressants and benzodiazepines. To the authors’ knowledge, this is the first study to evaluate a homogenous group of offender patients with SSD in comparison to non-offender controls regarding patterns of antipsychotic and other psychopharmacologic prescription patterns.
Genetic and Serum Screening for Alpha-1-Antitrypsin Deficiency in Adult Patients with Cystic Fibrosis: A Single-Center Experience
Authors: Amati Francesco , Gramegna Andrea , Contarini Martina , Stainer Anna , Curcio Cristina , Aliberti Stefano , Corsico Angelo Guido , Blasi Francesco
Published: December 2022

Cystic fibrosis (CF) and alpha-1 antitrypsin (AAT) deficiency are two of the commonest genetic diseases affecting the Caucasian population. Neutrophil-mediated inflammation due to protease–antiprotease imbalance leads to progressive pulmonary involvement in both diseases. The aim of this study was to investigate the prevalence of AAT deficiency in CF adults. A prospective study enrolling CF adults was conducted at the Adult CF Center based in Milan from January 2018 to March 2019. Patients were tested for AAT serum protein quantification and expanded genotyping characterization of SERPINA1 during clinical stability. Genotyping characterization of SERPIN1 was compared to a control population of 2848 Caucasian individuals with the same geographical origin and similar demographic characteristics. Among 173 patients included in the study, the prevalence of AAT deficiency was 0. Genotype analysis was piMM in 166 (94.9%) patients and piMS in 9 patients (5.1%), respectively. No differences in terms of genotype characterization were found between the CF population and the control population. These data show that AAT deficiency is not common among adults with CF.
The Role of Melatonin in Pregnancy and the Health Benefits for the Newborn
Authors: Verteramo Rosita , Pierdomenico Matteo , Greco Pantaleo , Milano Carmelia
Published: December 2022

In the last few years, there have been significant evolutions in the understanding of the hormone melatonin in terms of its physiology, regulatory role, and potential utility in various domains of clinical medicine. Melatonin’s properties include, among others, the regulation of mitochondrial function, anti-inflammatory, anti-oxidative and neuro-protective effects, sleep promotion and immune enhancement. As it is also bioavailable and has little or no toxicity, it has been proposed as safe and effective for the treatment of numerous diseases and to preserve human health. In this manuscript, we tried to evaluate the role of melatonin at the beginning of human life, in pregnancy, in the fetus and in newborns through newly published literature studies.
Unmet Need for Oral Corticosteroids Use and Exacerbations of Asthma in Primary Care in Taiwan
Authors: Chen Yen-Wen , Hsiao Yi-Han , Ko Hsin-Kuo , Jeng Tien-Hsin , Su Kang-Cheng , Perng Diahn-Warng
Published: December 2022

Patients with asthma are treated in primary healthcare facilities (PHCFs) in Taiwan, where the asthma control status associated with acute exacerbation (AE) and use of oral corticosteroids (OCS) and short-acting β2-agonist (SABA) inhalers remains unclear. A cross-sectional, close-ended, face-to-face questionnaire survey invited board-certified physicians who treat adult asthma patients in PHCFs. The contents of the questionnaire included three parts: rescue OCS to treat AE, regular OCS for asthma control, and AE-related adverse outcomes. There were 445 out of 500 physicians who completed the questionnaire, with 61% of them being non-pulmonologists. A substantial proportion of asthma patients needed rescue OCS or regular OCS each month, or ≥3 canisters of SABA inhalers per year. Approximately 86% of physicians reported their patients with ≥2 AE-related unscheduled visits to clinics or emergency departments in the past year. A total of 41% of physicians reported their patients receiving intubation or intensive care in the past year. A total of 92% of physicians prescribed rescue OCS ≤ 40 mg/day. A total of 92% of physicians prescribed rescue OCS for a duration of ≤7 days for AEs. A total of 85% of physicians prescribed regular OCS ≤ 10 mg/day for asthma control. This is the first study to present the perceptions of asthma-treating physicians on the use of OCS in PHCFs. In summary, 31% of physicians reported ≥ 6% of their patients needed OCS for asthma control and 41% of physicians reported their patients with adverse outcomes in the past year. Thus, the need to improve asthma control in Taiwan is suggested by our study results.
Triple Enhancement for Sensitive Immunochromatographic Assay: A Case Study for Human Fatty Acid-Binding Protein Detection
Authors: Taranova Nadezhda A. , Bulanaya Alisa A. , Zherdev Anatoly V. , Dzantiev Boris B.
Published: December 2022

The work considers a combination of three enhancing approaches for immunochromatographic assay (ICA) and the integration of their impacts into changes of the limit of detection (LOD). Human fatty acid binding protein (FABP), an early biomarker of acute myocardial infarction, was the target analyte. Starting from the common ICA protocol with an LOD equal to 11.2 ng/mL, three approaches were realized: (1) replacement of spherical gold nanoparticles with gold nanoflowers having a branched surface (20-fold lowering the LOD); (2) enhanced labeling of immune complexes via nanoparticle aggregates (15-fold lowering); (3) in-situ growth of bound nanoparticles by reduction of gold salts (3-fold lowering). Single and combined implementations of these approaches have been studied. It has been shown that the LOD decrease for combined approaches is close to the multiplied contribution of each of them. The final LOD for FABP was 0.05 ng/mL, which is 220 times lower than the LOD for the common ICA protocol. The efficiency of the enhanced ICA with three combined approaches was confirmed by testing human serum samples for FABP presence and content. The development presents a new efficient technique for rapid sensitive detection of FABP for medical diagnostics. Moreover, the demonstrated multiple enhancements could be applied for various demanded analytes.
Stress Reduction Effects during Block-Tapping Task of Jaw in Healthy Participants: Functional Near-Infrared Spectroscopy (fNIRS) Measurements of Prefrontal Cortex Activity
Authors: Kishimoto Takahiro , Goto Takaharu , Ichikawa Tetsuo
Published: December 2022

The purpose of this study was to explore the influence of simple jaw opening and closing task of chewing movements on the activities of the prefrontal cortex (PFC) from the viewpoint of stress reduction. We measured cerebral blood flow (CBF) in the PFC during a block-tapping task of the jaw in healthy participants. Eleven young healthy individuals with normal dentition (7 males and 4 females, mean age 28.0 ± 3.7 years) volunteered for this study. CBF was measured using a wearable, functional near-infrared spectroscopy device. Measurements were taken using the central incisors and first molars at interocclusal distances of 5 and 10 mm. The participants were asked to bite a hard/soft block. CBF in all conditions showed limited variability or decreasing trend compared to resting state before the task. The main effect was observed for interocclusal distance (p = 0.008), and there were no significant differences for measurement area of the PFC, tooth type, and material type. An interaction was found between tooth type and material type. In conclusion, these results suggest that simple and rhythmical chewing motion has an effect of reducing CBF in the PFC and resting the PFC, which is an especially notable aspect of periodontal sensory information in the molar.
Anti-Programmed Cell Death-1 Antibody and Dasatinib Combination Therapy Exhibits Efficacy in Metastatic Colorectal Cancer Mouse Models
Authors: Kadota Hiroki , Yuge Ryo , Shimizu Daisuke , Miyamoto Ryo , Otani Rina , Hiyama Yuichi , Takigawa Hidehiko , Hayashi Ryohei , Urabe Yuji , Kitadai Yasuhiko , Oka Shiro , Tanaka Shinji
Published: December 2022

In this study, we investigated the in vivo metastasis suppression effects of the platelet-derived growth factor receptor inhibitor dasatinib, which targets cancer-associated fibroblasts (CAFs), in combination with an anti-programmed cell death-1 (PD-1) antibody. We classified clinical CRC cases as inflamed, excluded, or desert using immunohistochemical analysis and evaluated the tumor stroma. The excluded type was the most common, and cases with high-volume stroma in the primary lesions also had a high stromal volume in the liver metastatic lesions. Liver-metastasis mouse models with different stromal volumes were established and treatment-induced changes in the tumor immune microenvironment were evaluated. The anti-PD-1 antibody alone exhibited a therapeutic effect for the liver metastases with low stromal volumes but not for the liver metastases with high stromal volumes. In contrast, antitumor effects were observed with anti-PD-1 antibody/dasatinib combination therapy even in the liver metastases with high stromal volumes. Combination therapy reduced the stromal volume, promoted immune cell infiltration, induced antitumor cytotoxic T-cell responses, activated antitumor immunity, and promoted tumor regression. These results suggest that CAFs play an important role in the immune evasion of CRC and that anti-PD-1 antibody/dasatinib combination therapy has potential as a treatment option for patients with metastatic CRC for whom immunotherapy alone is ineffective.
Thermodynamic Sensitivity of Blood Plasma Components in Patients Afflicted with Skin, Breast and Pancreatic Forms of Cancer
Authors: Ferencz Andrea , Szatmári Dávid , Lőrinczy Dénes
Published: December 2022

According to the World Health Organization’s 2018 Global Cancer Survey, cancer is the second leading cause of death. From this survey, the third most common is breast cancer, the fifth is melanoma malignum and pancreatic adenocarcinoma ranks twentieth. Undoubtedly, the early diagnosis and monitoring of these tumors and related research is important for aspects of patient care. The aim of our present review was to explain an impressive methodology that is deemed suitable in reference to studying blood sample deviations in the case of solid tumors. Essentially, we compared the heat denaturation responses of blood plasma components through differential scanning calorimetry (DSC). In the control, between five and seven separable components can be detected, in which the primary component was albumin, while in the case of tumorous patients, the peaks of immunoglobulins were dominant. Moreover, the shape of the plasma DSC curves changed with a shift in the higher temperature ranges; thus, their pattern can be used as a suitable marker of direct immunological responses. The further development of the analysis of DSC curves raises the possibility of the early diagnosis of a potential tumor, the monitoring of diseases, or testing the efficacy of the therapy from a single drop of blood.