bluuebunny/crossref_metadata_2025 huggingface dataset:
A New Restoration Strategy in Microgrids after a Blackout with Priority in Critical Loads
Authors: Vita Vasiliki , Fotis Georgios , Pavlatos Christos , Mladenov Valeri
Published: January 2023

The danger of a total blackout in a wide area or, even worse, in a country is always present. The restoration methods after a blackout mainly focus on the strategy that the dispatchers in the control centers of the Transmission System Operator will follow than the abilities that the distribution’s microgrids have. This study suggests a restoration technique to improve distribution system resilience following a blackout, using distributed generation for the restoration of important loads. The goal of the restoration problem is to maximize the number of critical loads that are restored following the catastrophic incident. Under the restrictions of the DGs and the network, the DGs with good black start capability are restored first. Load weight and node importance degree are suggested during the recovery path selection procedure, while taking node topological importance and load importance into account. A mixed-integer linear program (MILP) is used to simulate the issue, and the modified IEEE 39-bus test system is used to verify the efficacy of the suggested restoration approach.
Losing Cultural Heritage due to Anthropic Environmental Disasters: An Application of the DPSIR Spiral Framework
Authors: Castronuovo Valentina
Published: January 2023

Cultural heritage often mirrors the evolution of the social and economic dynamics of territories. In Taranto, a city in Apulia in southern Italy, cultural heritage represents the synthesis of the profound environmental and economic crisis that has characterised the city over the last century. Its loss is the order of the day following repeated collapses and static instability. Probably, this is the result of the strong conditioning that large industrial groups and military institutions have been exercising over the city’s environment and economy since the end of the 19th century. This paper focuses on the analysis of aspects related to the management and enhancement of the cultural heritage in the area, in the broader scenario of territorial heritage management. Using the DPSIR (Driver-Pressure-State-Impact-Response) spiral logic scheme, the aim of the research is to highlight causal links between the impoverishment of Taranto’s cultural heritage and the management and socio-economic drivers present there. In this perspective, the study aims to contribute to the implementation of the scientific literature on the topic of the application of the spiral DPSIR model to the theme of built cultural heritage and not only to the management of the naturalistic factors of the territories. Furthermore, it aims to stimulate policy makers to initiate specific analyses of the risks threatening cultural heritage in order to implement protective measures before irreversible damage occurs. The results of the analysis promote the need for a subversion of the area’s development dynamics with a view to a ‘culture of sustainability’.
Raising Healthy Children: Promoting the Multiple Benefits of Green Open Spaces through Biophilic Design
Authors: Russo Alessio , Andreucci Maria Beatrice
Published: January 2023

Several studies have indicated that children who grow up in green environments enjoy beneficial impacts on their development. However, to date, very little attention has been paid to the types and characteristics of dedicated public open green space for children. In addition, studies on biophilic design that could help landscape architects to design open spaces for children are limited. In order to fill this gap, this perspective examines the scientific literature on the relationship between open spaces and children. The authors specifically discuss and analyze the following points: (1) pathways to and effects on children’s health and well-being; (2) types and characteristics of open spaces for child-dedicated facilities (e.g., schools, hospitals, fitness camps, playgrounds, etc.), as well as for child-friendly urban open spaces. Finally, the authors provide inspiring examples and case studies of biophilic design for children’s health and well-being. Conclusions from this perspective show that biophilic design could benefit both the physical and mental health of children, as well as improve children’s overall resilience to pandemics and other diseases. This perspective provides, for the first time, new insights for designing biophilic and child-friendly cities, and explores areas of future research.
Hydrological Drought Severity in Different Return Periods in Rivers of Ardabil Province, Iran
Authors: Ghabelnezam Elnaz , Mostafazadeh Raoof , Hazbavi Zeinab , Huang Guangwei
Published: January 2023

Hydrological drought (HD) characterization with different return periods is essential to appropriately design the best water management practices. In particular, characterizing the interactive relations of discharge, drought, and return periods using a novel triple diagram can deepen the interpretation of regional droughts, which have not been adequately considered, especially in semi-arid areas. Considering the critical role of HD in water exploitation and management in Iran, this study was therefore conducted to analyze the HD in different return periods in rivers of the Ardabil Province (area = 17,953 km2). To this end, the streamflow drought index (SDI) was computed using DrinC software at 1-, 3-, and 6-month time scales for 25 hydrometric stations during 1981–2014. Then, the drought severity was evaluated by CumFreq software in different return periods (2, 5, 10, 25, 50, and 100 years). Finally, the relationship between discharge, SDI, and return periods was analyzed using triple diagram models. The results revealed that the drought events had mild (−1 ≤ SDI < 0) and moderate (−1.5 ≤ SDI < −1) severity for most study stations in the study area. The mean values of SDI in the 1-, 3-, and 6-month time scales were 1.08, 0.80, and 0.55, respectively. At all study time scales, the drought severity in both rivers with low and high flows increased with increasing return periods. In such a way, the maximum drought severity has been found for rivers with high flow at a 100-year return period. The current results can be considered a screening tool for the distinctive conservation and directive management of watershed resources.
Behavioural Profiling of Cycling and Walking in Nine European Cities
Authors: De Ceunynck Tim , Wijlhuizen Gert Jan , Fyhri Aslak , Gerike Regine , Köhler Dagmar , Ciccone Alice , Dijkstra Atze , Dupont Emmanuelle , Cools Mario
Published: January 2023

To ensure cities’ livability, a significant modal shift from car use towards more sustainable modes of transportation, such as walking and cycling, is required. To establish such a modal shift, a better understanding is needed of the psychological components that affect people’s likelihood of shifting to active transport modes. To this end, a behavioural survey was conducted among more than 2000 respondents across nine European cities in four countries. Using factor and cluster analysis, two groups of respondents are identified that have common determinants of their variations in intentions to shift to active transport modes, i.e., a “pro-cycling” cluster (55.6% of the respondents) and a “non-pro-cycling” cluster (44.4%). The findings highlight the intrinsically different nature of walking and cycling as transport modes, underlining the importance of distinguishing walking and cycling policies. The main obstacle to cycle more frequently is perceived traffic safety. Therefore, the main priority should be the improvement of traffic safety. The most important obstacle hindering more frequent walking is time. Hence, reducing travel time, for instance, by creating shortcuts for pedestrians and denser and more diversified urban areas will be an important strategy. Future research could extend this research to cities in other countries and regions. By repeating the survey periodically, changes in people’s motivations and perceived barriers can be analysed over time.
Rabbit Meat—Production, Consumption and Consumers’ Attitudes and Behavior
Authors: Siddiqui Shahida Anusha , Gerini Francesca , Ikram Ali , Saeed Farhan , Feng Xi , Chen Yanping
Published: January 2023

Rabbit meat could play an important role in health, the rural economy, and sustainable development. Rabbit meat has excellent nutritional features, such as high protein content, low-fat content, and a high percentage of unsaturated fatty acids, low cholesterol and sodium levels. In addition, rabbit meat production contributes to maintaining economic activities in rural marginal areas. However, the consumption of rabbit meat is still limited due to several factors such as the higher cost of commercial food that is slowing down rabbits’ breeding. Socio-demographic characteristics, attitudes, and nationality of consumers influence the demand and consumption of rabbit meat. The social and economic changes of the past years are leading to an increased interest in rabbit meat products with convenience characteristics. Consumers are also increasingly paying attention to animal husbandry methods for health concerns and ethical reasons. This paper presents an overview of rabbit meat focusing on production, nutritional composition, consumers’ preferences, and marketing. The review proposes strategies that, coupled with information campaigns could improve consumers’ knowledge of the positive characteristics of rabbit meat, which would contribute to the market development.
Empirical Analysis of the Cruise Shipping Network in Asia
Authors: Kanrak Maneerat , Lau Yui-yip , Zhou Jingen , Ge Jiawei , Traiyarach Saksuriya
Published: January 2023

The cruise shipping market has been growing dynamically in the past two decades. This study presented an empirical analysis of the Asian cruise shipping network (ACSN) in which the nodes are cruise ports and links are cruise routes connecting the ports, using complex network analysis. An analysis of 245 voyages operated by 16 cruise lines between 215 ports in 26 countries found that ports in the ACSN are connected by 704 links. The ACSN is a small-world network with a small average path length and a high clustering coefficient, and its degree distribution follows an exponential function. A small number of ports have high connectivity, and most ports have low connections. Most high-degree ports connect to low-degree ports. The important roles and properties of ports vary depending on centrality measures.
Machine Learning for Road Traffic Accident Improvement and Environmental Resource Management in the Transportation Sector
Authors: Megnidio-Tchoukouegno Mireille , Adedeji Jacob Adedayo
Published: January 2023

Despite the measures put in place in different countries, road traffic fatalities are still considered one of the leading causes of death worldwide. Thus, the reduction of traffic fatalities or accidents is one of the contributing factors to attaining sustainability goals. Different factors such as the geometric structure of the road, a non-signalized road network, the mechanical failure of vehicles, inexperienced drivers, a lack of communication skills, distraction and the visual or cognitive impairment of road users have led to this increase in traffic accidents. These factors can be categorized under four headings that are: human, road, vehicle factors and environmental road conditions. The advent of machine learning algorithms is of great importance in analysing the data, extracting hidden patterns, predicting the severity level of accidents and summarizing the information in a useful format. In this study, three machine learning algorithms for classification, such as Decision Tree, LightGBM and XGBoost, were used to model the accuracy of road traffic accidents in the UK for the year 2020 using their default and hyper-tuning parameters. The results show that the high performance of the Decision Tree algorithm with default parameters can predict traffic accident severity and provide reference to the critical variables that need to be monitored to reduce accidents on the roads. This study suggests that preventative strategies such as regular vehicle technical inspection, traffic policy strengthening and the redesign of vehicle protective equipment be implemented to reduce the severity of road accidents caused by vehicle characteristics.
Sustainable Digital Marketing Model of Geoenergy Resources under Carbon Neutrality Target
Authors: Zhang Yingge , Xia Zhihu , Li Yanni , Dai Anmai , Wang Jie
Published: January 2023

Geoenergy resources are a new type of clean energy. Carbon neutralization and carbon peaking require significant system reform in the field of energy supply. As a clean, low-carbon, stable and continuous non carbon-based energy, geothermal energy can provide an important guarantee for achieving this goal. Different from the direct way of obtaining energy, ground energy indirectly obtains heat energy from shallow soil and surface water. The vigorous development of geoenergy resources under China’s carbon neutrality goal plays an important role in energy conservation and emission reduction. However, the current carbon trading market is not understood by the public. Therefore, this paper aims to analyze the impact of geoenergy resources on promoting sustainable digital marketing models. Every country around the world is working hard to meet its carbon neutrality goal. This paper analyzed the economic goal of carbon neutrality by analyzing the principle of the carbon trading market. For this reason, this paper designed a carbon trading price prediction algorithm based on the BP neural network (BPNN), which can predict prices in the carbon trading market in order to promote the accurate push of the digital marketing model and finally drive ground energy resources to promote a sustainable digital marketing model. The experimental results of this paper have proved that the price error rate of the BPNN carbon trading price prediction algorithm designed in this paper was within 10%, which was about 20% smaller than the traditional multiple regression analysis algorithm. This proved that the algorithm in this paper has a good performance and can provide accurate information to allow the digital marketing model to achieve sustainable digital marketing.
Agency, Reselling, or Hybrid: Strategic Channel Selection in a Green Supply Chain
Authors: Fu Yumin , Wu Jianyun , Ma Cheng , Fu Xiaoyu
Published: January 2023

This study explores the channel preference of a platform and a green manufacturer in an online market. The platform offers both the agency channel and the reselling channel, while the manufacturer designs a green product to improve the green effort and sells it through the platform. We find that the manufacturer’s channel preference is determined by the interaction of the green investment, the commission rate, and the competition intensity. In contrast, the online platform prefers the hybrid channel when both the commission rate and green investment inefficiency are moderate but prefers the agency channel otherwise. Interestingly, the manufacturer can change its sales center between the reselling channel and the agency channel, thus resulting in a win–win outcome for the manufacturer and the platform by selecting the hybrid channel. This study reveals the benefits of green product selling in an online market and provides useful guidelines for green product manufacturers and platform managers in improving their strategic selling channel.
Development of a Computer System for Automatically Generating a Laser Photocoagulation Plan to Improve the Retinal Coagulation Quality in the Treatment of Diabetic Retinopathy
Authors: Ilyasova Nataly , Demin Nikita , Andriyanov Nikita
Published: January 2023

In this article, the development of a computer system for high-tech medical uses in ophthalmology is proposed. An overview of the main methods and algorithms that formed the basis of the coagulation plan planning system is presented. The system provides the formation of a more effective plan for laser coagulation in comparison with the use of existing coagulation techniques. An analysis of monopulse- and pattern-based laser coagulation techniques in the treatment of diabetic retinopathy has shown that modern treatment methods do not provide the required efficacy of medical laser coagulation procedures, as the laser energy is nonuniformly distributed across the pigment epithelium and may exert an excessive effect on parts of the retina and anatomical elements. The analysis has shown that the efficacy of retinal laser coagulation for the treatment of diabetic retinopathy is determined by the relative position of coagulates and parameters of laser exposure. In the course of the development of the computer system proposed herein, main stages of processing diagnostic data were identified. They are as follows: the allocation of the laser exposure zone, the evaluation of laser pulse parameters that would be safe for the fundus, mapping a coagulation plan in the laser exposure zone, followed by the analysis of the generated plan for predicting the therapeutic effect. In the course of the study, it was found that the developed algorithms for placing coagulates in the area of laser exposure provide a more uniform distribution of laser energy across the pigment epithelium when compared to monopulse- and pattern-based laser coagulation techniques.
A Comprehensive Analysis of Smart Grid Stability Prediction along with Explainable Artificial Intelligence
Authors: Ucar Ferhat
Published: January 2023

As the backbone of modern society and industry, the need for a more efficient and sustainable electrical grid is crucial for proper energy management. Governments have recognized this need and have included energy management as a key component of their plans. Decentralized Smart Grid Control (DSGC) is a new approach that aims to improve demand response without the need for major infrastructure upgrades. This is achieved by linking the price of electricity to the frequency of the grid. While DSGC solutions offer benefits, they also involve several simplifying assumptions. In this proposed study, an enhanced analysis will be conducted to investigate how data analytics can be used to remove these simplifications and provide a more detailed understanding of the system. The proposed data-mining strategy will use detailed feature engineering and explainable artificial intelligence-based models using a public dataset. The dataset will be analyzed using both classification and regression techniques. The results of the study will differ from previous literature in the ways in which the problem is handled and the performance of the proposed models. The findings of the study are expected to provide valuable insights for energy management-based organizations, as it will maintain a high level of symmetry between smart grid stability and demand-side management. The proposed model will have the potential to enhance the overall performance and efficiency of the energy management system.
On measurement of the results of the activities of digital economy at the regional level
Authors: Glinskiy V. V. , Serga L. K.
Published: January 2023

The article considers the methodical approaches to the solution of the problem of the assessment of the influence of digital economy on economic performance. The solution of the set problem is very important not only in the regional but national scale as well. The methodical approach to studying unevenness of digital development of the regions in terms of its certain segments (business and population) was suggested and tested. The analysis of the influence of digital economy on social and economic development of the regions was carried out. The assessment of the degree of the influence of the digital changes on the Russian economy in general was made. Conclusions were drawn. The data of the “Indicators of digital economy” statistical compilation were used as the informational base of the study.
Figurações da dor: a memória no curso da vida
Authors: Sarti Cynthia
Published: January 2023

Este texto trata de encontros com as ideias de Veena Das que aconteceram em meu trabalho de pesquisa sobre o sofrimento e a violência. Para isso, percorre a trajetória que levou à investigação sobre o tema com base na memória da ditadura militar brasileira (1964-1985) nos pontos em que o trabalho da autora ecoou e se fez presente. Em uma reflexão que interroga não os acontecimentos da ditadura, mas a singularidade das experiências de sofrimento, apreendidas nas formas de dizer, expressas pelo testemunho de quem as viveu ou foi por elas afetado, a leitura da violência não apenas em termos de sua destruição, mas pelas possibilidades de reconstrução da vida depois da devastação, proposta por Das, abriu um caminho fecundo.
Ancien français : quelques spécificités d'une énonciation in praesentia
Authors: Perret Michèle
Published: January 2023

Michele Perret : Old French : Some specifies about an enunaation in praesentia.

Meant as an introduction to research on enunciation (according to E. Benveniste) in the Middle Ages, this article underlines the linguistic impact of the orality share implied by the composition or the transmission of the earliest vernacular texts. Those texts are sometimes composed, often dictated by their author to a scribe, and, in ail cases, they are performed by means of a recitation or read aloud to an audience unable to access written documents. A certain number of features, familiar to Romanists, are linked to this mode of transmission, such as double sets of shifters in praesentia (some referring to the act of performance, others coalescing the listeners' time and space with those of the narrated content), the semantic evolution of or, the use of the present as an unmarked tense in a narrative context, or the sudden tense switching.

This article also shows how such features, initially of a linguistic nature, have finally contributed to the building up of the codification of certain literary genres, epic songs (chansons de geste) or, more broadly, fictions.
Du niveau textuel au niveau énonciatif dans la grammaticalisation : le rôle du contexte
Authors: Combettes Bernard
Published: January 2023

Bernard Combettes : From textual level to enundative level in the grammaticalization process : the function of context.

This paper analyses the function of linguistic contexts in the grammaticalization process. Within the theoretical framework of the "evolution in three levels" (propositional level, textual level, pragmatic level), we underline the importance and the specificity of thematic constructions from a diachronic point of view. Certain expressions evolve first from linked adverbial to a thematic function, then to a topic function. This is exemplified by the study of two samples : the evolution of topic markers like quant a, en ce qui concerne, and the evolution ofthe su bord inator dans la mesure ou.
Comme et ses valeurs : le point de vue historique (XIVe-XVIe siècles)
Authors: Kuyumcuyan Annie
Published: January 2023

Annie Kuyumcuyan : The meanings of comme : a historical perspective (14th-16th centuries).

Among function words which can have many meanings depending on the context, comme is one ofthe most polysemie in Modem French, even when it is only studied in its subordinate role in complex sentences. Imbs considered that it was unequalled in the variety of its different uses. The study of comme from a diachronic point of view has been facilitated by the computerization of huge corpuses, which allow a better understanding of its polysemy. It is thus possible to discover the stages by which the word has passed and to identify apparently heterogeneous meanings, which are actually coherent, when taking their progressive construction into consideration.
How Deep Neural Networks Understand Motion? Toward Interpretable Motion Modeling by Leveraging the Relative Change in Position
Authors: Fan Hehe , Zhuo Tao , Feng Xiaoyu , Nan Guoshun
Published: January 2023

Motion understanding plays an important role in video-based cross-media analysis and multiple knowledge representation learning. This paper discusses physical motion recognition and prediction by deep neural networks (DNNs), such as convolutional neural networks and recurrent neural networks. In physics, motion is the relative change in position with respect to time. To ablate the moving object and the background where the motion happens, we focus on an ideal scenario where a point moves in a plane. As the first contribution, we evaluate a few popular DNN architectures from video research on the relative position change modeling. Experiment results and conclusions can be insightful in action recognition and video prediction. As the second contribution, we propose a vector network (VecNet) to model the relative change in position. VecNet considers the motion in a short interval as a vector. Meanwhile, VecNet can move a point to the corresponding position given a vector representation. To obtain the representation of the motion for a long time, we use a long short-term memory (LSTM) to aggregate or predict vector representations over time. The resulting VecNet+LSTM approach is able to effectively support both recognition and prediction, proving that modeling relative position change is necessary for motion recognition and makes motion prediction easier.
Trading Off Consistency and Availability in Tiered Heterogeneous Distributed Systems
Authors: Lee Edward A. , Bateni Soroush , Lin Shaokai , Lohstroh Marten , Menard Christian
Published: January 2023

Tiered distributed computing systems, where components run in Internet-of-things devices, in edge computers, and in the cloud, introduce unique difficulties in maintaining consistency of shared data while ensuring availability. A major source of difficulty is the highly variable network latencies that applications must deal with. It is well known in distributed computing that when network latencies rise sufficiently, one or both of consistency and availability must be sacrificed. This paper quantifies consistency and availability and gives an algebraic relationship between these quantities and network latencies. The algebraic relation is linear in a max-plus algebra and supports heterogeneous networks, where the communication latency between 2 components may differ from the latency between another 2 components. We show how to make use of this algebraic relation to guide design, enabling software designers to specify consistency and availability requirements, and to derive from those the requirements on network latencies. We show how to design systems to fail in predictable ways when the network latency requirements are violated, by choosing to sacrifice either consistency or availability.
CD-GAN: Commonsense-Driven Generative Adversarial Network with Hierarchical Refinement for Text-to-Image Synthesis
Authors: Zhang Guokai , Xu Ning , Yan Chenggang , Zheng Bolun , Duan Yulong , Lv Bo , Liu An-An
Published: January 2023

Synthesizing vivid images with descriptive texts is gradually emerging as a frontier cross-domain generation task. However, it is obviously inadequate to generate the high-quality image with one single sentence accurately due to the information asymmetry between modalities, which needs external knowledge to balance the process. Moreover, the limited description of the entities in the sentence cannot guarantee the semantic consistency between text and generated image, causing the deficiency of details in foreground and background. Here, we propose a commonsense-driven generative adversarial network to generate photo-realistic images depending on entity-related commonsense knowledge. Commonsense-driven generative adversarial network contains 2 key commonsense-based modules: (a) Entity semantic augment is designed to enhance entity semantics with common sense for abating the information asymmetry, and (b) adaptive entity refinement is used to generate the high-resolution image guided by various commonsense knowledges in multistage for keeping text-image consistency. We demonstrated extensive synthetic cases on the widely used CUB-birds (Caltech-UCSD Birds-200-2011) dataset, where our model achieves competitive results compared to the other state-of-the-art models.
A Single Central Pattern Generator for the Control of a Locomotor Rolling Wave in MolluscAplysia
Authors: Wang Hui-Ying , Yu Ke , Yang Zhe , Zhang Guo , Guo Shi-Qi , Wang Tao , Liu Dan-Dan , Jia Ruo-Nan , Zheng Yu-Tong , Su Yan-Nan , Lou Yi , Weiss Klaudiusz R. , Zhou Hai-Bo , Liu Feng , Cropper Elizabeth C. , Yu Quan , Jing Jian
Published: January 2023

Locomotion in molluscAplysiais implemented by a pedal rolling wave, a type of axial locomotion. Well-studied examples of axial locomotion (pedal waves inDrosophilalarvae and body waves in leech, lamprey, and fish) are generated in a segmented nervous system via activation of multiple coupled central pattern generators (CPGs). Pedal waves in molluscs, however, are generated by a single pedal ganglion, and it is unknown whether there are single or multiple CPGs that generate rhythmic activity and phase shifts between different body parts. During locomotion in intactAplysia, bursting activity in the parapedal commissural nerve (PPCN) was found to occur during tail contraction. A cluster of 20 to 30 P1 root neurons (P1Ns) on the ventral surface of the pedal ganglion, active during the pedal wave, were identified. Computational cluster analysis revealed that there are 2 phases to the motor program: phase I (centered around 168°) and phase II (centered around 357°). PPCN activity occurs during phase II. The majority of P1Ns are motoneurons. Coactive P1Ns tend to be electrically coupled. Two classes of pedal interneurons (PIs) were characterized. Class 1 (PI1 and PI2) is active during phase I. Their axons make a loop within the pedal ganglion and contribute to locomotor pattern generation. They are electrically coupled to P1Ns that fire during phase I. Class 2 (PI3) is active during phase II and innervates the contralateral pedal ganglion. PI3 may contribute to bilateral coordination. Overall, our findings support the idea thatAplysiapedal waves are generated by a single CPG.
Terpyridine-Grafted Nitrogen-Terminal Endowing Cyanine with Metal-Ion-Regulated Photophysical Properties for Cancer Theranostics
Authors: Zhu Junfei , He Gang , Chen Peng-Hang , Zhang Yajie , Zhang Yafei , Lei Shan , Zhang Yu , Li Meng , Huang Peng , Lin Jing
Published: January 2023

Heptamethine cyanines (Cy7) are one of the most important dyes in bioimaging and phototherapy, but they often suffer from poor photostability or limited photothermal conversion efficiency. Here, a facile molecular engineering approach to regulating the photophysical properties of Cy7 by metal ions is demonstrated. By innovatively modifying the nitrogen with functional groups, a novel terpyridine-grafted nitrogen-terminated Cy7 scaffold (denoted as CydtPy) was synthesized and exhibited tunable photophysical properties when chelating with various metal ions (Mn2+, Fe2+, etc.). In comparison with metal-ion-free PEGylated CydtPy (LET-11), Mn2+-chelated LET-11 (namely, LET-11-Mn) exhibited the increased fluorescence emission intensity, and Fe2+-chelated LET-11 (namely, LET-11-Fe) showed the enhanced photostability with ~2-fold increase in photothermal conversion efficiency. By simply switching the chelated metal ion species, LET-11-Mn or LET-11-Fe could be used for near-infrared fluorescence imaging, magnetic resonance imaging, or photoacoustic imaging. Furthermore, LET-11-Fe displayed superior synergistic efficacy of photothermal therapy and chemodynamic therapy both in vitro and in vivo. This work not only provides a new strategy for regulating the photophysical properties of cyanine dyes but also establishes a versatile nanoplatform for cancer theranostics.
Neural Network Accelerated Investigation of the Dynamic Structure–Performance Relations of Electrochemical CO
2
Reduction over SnO

x

Surfaces
Authors: Li Lulu , Zhao Zhi-Jian , Zhang Gong , Cheng Dongfang , Chang Xin , Yuan Xintong , Wang Tuo , Gong Jinlong
Published: January 2023

Heterogeneous catalysts, especially metal oxides, play a curial role in improving energy conversion efficiency and production of valuable chemicals. However, the surface structure at the atomic level and the nature of active sites are still ambiguous due to the dynamism of surface structure and difficulty in structure characterization under electrochemical conditions. This paper describes a strategy of the multiscale simulation to investigate the SnO

x

reduction process and to build a structure–performance relation of SnO

x

for CO
2
electroreduction. Employing high-dimensional neural network potential accelerated molecular dynamics and stochastic surface walking global optimization, coupled with density functional theory calculations, we propose that SnO
2
reduction is accompanied by surface reconstruction and charge density redistribution of active sites. A regulatory factor, the net charge, is identified to predict the adsorption capability for key intermediates on active sites. Systematic electronic analyses reveal the origin of the interaction between the adsorbates and the active sites. These findings uncover the quantitative correlation between electronic structure properties and the catalytic performance of SnO

x

so that Sn sites with moderate charge could achieve the optimally catalytic performance of the CO
2
electroreduction to formate.
One-Pot Protolignin Extraction by Targeted Unlocking Lignin–Carbohydrate Esters via Nucleophilic Addition–Elimination Strategy
Authors: Lou Yuhan , Sun Xinyue , Yu Yanyan , Zeng Suqing , Li Yilin , Liu Yongzhuang , Yu Haipeng
Published: January 2023

Protolignin extraction can facilitate structure elucidation and valorization of lignin in biorefinery, but is rather challenging due to the complex chemical bonds present. Here, we developed the in situ generated NH
3
-reline (IGNR) system to realize one-pot protolignin extraction from lignocellulose. In the IGNR system, reline consisting of choline chloride and urea acted as both a solvent and a nucleophile generator, and the nucleophilic addition–elimination mechanism was verified by model compound studies. The in situ generated NH
3
could precisely cleave the lignin–carbohydrate esters in lignocellulose with a near-quantitative retention of carbohydrates. The extracted IGNR–Protolignin exhibited native lignin substructure with high molecular weight and high β-O-4′ content (41.5 per 100 aromatic units). In addition, the up-scaled kilogram reaction demonstrated the feasibility of the IGNR system for potential industrial application in a green and sustainable pathway. This work represents a breakthrough toward protolignin extraction in practice with the future goal of achieving total biorefinery.
Nanoengineered Gallium Ion Incorporated Formulation for Safe and Efficient Reversal of PARP Inhibition and Platinum Resistance in Ovarian Cancer
Authors: Li Yangyang , Cen Yixuan , Tu Mengyan , Xiang Zhenzhen , Tang Sangsang , Lu Weiguo , Zhang Hongbo , Xu Junfen
Published: January 2023

Platinum-based chemotherapy remains the main systemic treatment of ovarian cancer (OC). However, the inevitable development of platinum and poly (adenosine diphosphate-ribose) polymerase inhibitor (PARPi) resistance is associated with poor outcomes, which becomes a major obstacle in the management of this disease. The present study developed “all-in-one” nanoparticles that contained the PARPi olaparib and gallium (Ga) (III) (olaparib-Ga) to effectively reverse PARPi resistance in platinum-resistant A2780-cis and SKOV3-cis OC cells and in SKOV3-cis tumor models. Notably, the olaparib-Ga suppressed SKOV3-cis tumor growth with negligible toxicity. Moreover, the suppression effect was more evident when combining olaparib-Ga with cisplatin or carboplatin, as evaluated in A2780-cis and SKOV3-cis cells. Mechanistically, the combined treatment induced DNA damage, which elicited the activation of ataxia telangiectasia mutated (ATM)/AMT- and Rad3-related (ATR) checkpoint kinase 1 (Chk1)/Chk2 signal transduction pathways. This led to the arrest of cell cycle progression at S and G
2
/M phases, which eventually resulted in apoptosis and cell death due to unrepairable DNA damage. In addition, effective therapeutic responses to olaparib-Ga and cisplatin combination or olaparib-Ga and carboplatin combination were observed in SKOV3-cis tumor-bearing animal models. Altogether, the present findings demonstrate that olaparib-Ga has therapeutic implications in platinum-resistant OC cells, and the combination of olaparib-Ga with cisplatin or carboplatin may be promising for treating patients with OC who exhibit resistance to both PARPi and platinum.
Digital Twins in Industry 5.0
Authors: Lv Zhihan
Published: January 2023

This work aims to explore the impact of Digital Twins Technology on industrial manufacturing in the context of Industry 5.0. A computer is used to search the Web of Science database to summarize the Digital Twins in Industry 5.0. First, the background and system architecture of Industry 5.0 are introduced. Then, the potential applications and key modeling technologies in Industry 5.0 are discussd. It is found that equipment is the infrastructure of industrial scenarios, and the embedded intelligent upgrade for equipment is a Digital Twins primary condition. At the same time, Digital Twins can provide automated real-time process analysis between connected machines and data sources, speeding up error detection and correction. In addition, Digital Twins can bring obvious efficiency improvements and cost reductions to industrial manufacturing. Digital Twins reflects its potential application value and subsequent potential value in Industry 5.0 through the prospect. It is hoped that this relatively systematic overview can provide technical reference for the intelligent development of industrial manufacturing and the improvement of the efficiency of the entire business process in the Industrial X.0 era.
Line Spread Test Results for Commercially Available the White Rice Porridge with Sticky Barley
Authors: Kondo Shoko , Hirabayashi Mayumi , Katayama Naomi
Published: January 2023

In the event of a disaster, we will have to take stockpiled food. Retort porridge contains water and can be eaten directly from the container. However, there is a risk of aspiration for people with impaired swallowing function. As a result of the line spread test (LST), which was performed after homogenizing white rice porridge with sticky barley using a mixer, it was found that the viscosity was weak, and there was a risk of aspiration for people with weakened swallowing function. The thickness was added to white rice porridge with sticky barley by using four types of commercially available thickening agents that was made into a uniform liquid with a mixer. A line spread test (LST) was performed by adding 2 g of each thickening agent to 100g of liquid porridge. As a result, the viscosity of the liquid porridge was stabilized and thickened, and it became a state that could swallow more safely. In the line spread test, the thickness of the porridge was measured after 30 seconds, 5 minutes, 15 minutes, and 30 minutes.
Evaluation of Complex Treatment of Patients with Traumatic Optical Neuropathy Based on Functional and Hemodynamic Indicators of the Eye
Authors: С.С. Агзамова,
Published: January 2023

Цель. Определение эффективности комплексного лечения пациентов с сочетанными травмами орбиты, осложненными травматической оптической нейропатией. Материалы и методы. С 2019 по 2020 год в отделение челюстно-лицевой хирургии госпитализировано 1152 пациента с черепно-мозговой травмой, из них у 784 диагностированы различные переломы костей средней зоны лица, среди которых у 35 пациентов (35 глаз) была выявлена ТОН. Пациенты были разделены на две группы в зависимости от проводимой терапии. Результаты. Анализ результатов сочетанного хирургического и совместного офтальмологического консервативного лечения пациентов основной группы показал достоверное улучшение гемодинамических показателей, которые указывают на стабилизацию ишемического процесса в 95% случаев, а также анализ показал, что уже на ранних стадиях патологии макулярная зона сетчатки участвует в процессе. Эти отклонения в раннем посттравматическом периоде говорят об изначальном функциональном угнетении колбочко-палочковой системы. Эти параметры у пациентов основной группы достоверно коррелировали с показателями остроты зрения.

Purpose. To determine the effectiveness of complex treatment of patients with concomitant orbital injuries complicated by traumatic optic neuropathy. Materials and methods. From 2019 to 2020, 1152 patients with craniocerebral trauma were hospitalized in the Department of Maxillofacial Surgery, of which 784 were diagnosed with various fractures of the bones of the middle zone of the face, among which 35 patients (35 eyes) were diagnosed with TON. Patients were divided into two groups, depending on the therapy. Results. Analysis of the results of combined surgical and joint ophthalmic conservative treatment of patients in the main group showed a significant improvement in hemodynamic parameters, which indicate stabilization of the ischemic process in 95% of cases, and the analysis showed that already in the early stages of the pathology, the macular area of the retina is involved in the process. These deviations in the early post- traumatic period indicate the initial functional inhibition of the cone-rod system. These parameters in patients of the main group significantly correlated with visual acuity.
Femtosecond Laser-Assisted Surgical Management of Postkeratoplasty Astigmatism: Indications and Results
Authors: Г.В. Ситник,
Published: January 2023

Посткератопластический астигматизм – одна из ведущих причин низкого зрения после пересадки роговицы. Цель исследования. Изучить эффективность хирургического лечения посткератопластического астигматизма высокой степени после пересадки роговицы по поводу кератоконуса. Материалы и методы. В исследование включены 24 пациента (24 глаза) с посткератопластическим астигматизмом. В 1-ю группу вошли 15 пациентов с правильным астигматизмом, которым выполняли фемтоассистированную дугообразную кератотомию (ФАДК); 2-ю составили 9 пациентов, у 6 из которых астигматизм был неправильным. Во 2-й группе выполняли фемтоассистированную циркулярную клиновидную резекцию роговицы (ФЦКР). Результаты. У пациентов обеих групп получено достоверное улучшение кератотопографических индексов, а также улучшение НКОЗ и КОЗ после операций. В 1-й группе КОЗисх составляла 0,2 (0,10–0,3), КОЗитог – 0,6 (0,5–0,7) (T=0, Z=3,408, p<0,001). Во 2-й группе КОЗисх составляла 0,1 (0,09–0,2), КОЗитог – 0,6 (0,55–0,7) (T=0, Z=2,521, p=0,012). Выводы. Выполнение ФАДК при правильном посткератопластическом астигматизме позволяет уменьшить величину кератометрического цилиндра на 61%, значимо повысить как НКОЗ, так и КОЗ. ФЦКР эффективна при неправильном астигматизме и может являться альтернативой повторной пересадке роговицы.

Post-keratoplasty astigmatism is one of the leading causes of low vision after corneal transplantation. Purpose. To study the effectiveness of surgical management of high post-keratoplasty astigmatism after corneal transplantation for keratoconus. Materials and methods. The study included 24 patients (24 eyes) with post-keratoplasty astigmatism. Group 1 included 15 patients with regular astigmatism who underwent femtosecond laser-assisted arcuate keratotomy (FLAK); the 2nd consisted of 9 patients, 6 of whom had irregular astigmatism. In group 2, femtosecond laser-assisted circular wedge resection of the cornea (FCWR) was performed. Results. In patients of both groups, a significant improvement in keratotopography indices was obtained, as well as an improvement in UCVA and BCVA after surgery. In group 1, initial BCVA was 0.2 (0.10–0.3), final BCVA was 0.6 (0.5–0.7) (T=0, Z=3.408, p<0.001). In group 2, initial BCVA was 0.1 (0.09–0.2), final BCVA – 0.6 (0.55–0.7) (T=0, Z=2.521, p=0.012). Conclusions. FLAK in patients with regular high post-keratoplasty astigmatism helps reduce the keratometric cylinder by 61%, significantly increase both UCVA and BCVA. FCWR is effective for irregular astigmatism and may be an alternative to corneal retransplantation.
Post-Restoration Reformed Anglicans
Authors: Gatiss Lee
Published: January 2023

The ejection of many of the Puritans from the Church of England in 1662 was not the end of the story for Puritanism, for Reformed theology, or for the gospel in the established church. This article looks at a common tendentious reading of church history and by examining the lives and teachings of three significant Anglicans in the later Stuart period— Edward Reynolds, William Gurnall, and Thomas Horton—shows that it results in a skewed perception of the evidence, leading to an under-appreciation of the ministries of such people and a false understanding of the ecclesiastical challenges of those times. KEYWORDS: Restoration, Reformed theology, Calvinism, Arminianism, Anglicanism, predestination, perseverance, original sin, atonement
“So Natural Is the Union of Religion with Justice”: Hooker’s Defense of Religious Establishment
Authors: Littlejohn W. Bradford
Published: January 2023

One of the greatest contributions of Anglican theology has been its consistent defense of the value of public religious establishment, and the classic defense remains that of Richard Hooker in his Laws of Ecclesiastical Polity (1593–1600). In the opening chapters of Book V of the Laws, Hooker offers a compelling argument that religion is a crucial support to a well-ordered and virtuous polity while seeking to forestall the objection that this “instrumentalizes” religion to merely political ends. He also acknowledges the generic value of any kind of public reli- gion while nonetheless contending that the wise ruler must choose that religion that is true, namely, Christianity. Hooker’s defense of religious establishment remains relevant in a Western world coming to terms with the contradictions of secular pluralism. KEYWORDS: Anglicanism, religious establishment, public religion, Richard Hooker, civic virtue, justice
Book Review: John R. W. Stott, Christ the Cornerstone: Collected Essays of John Stott.
Authors: Edgar William
Published: January 2023

KEYWORDS:
Book Review: Iain H. Murray. J. C. Ryle: Prepared to Stand Alone.
Authors: Anderson John
Published: January 2023

KEYWORDS:
Coffeshop, aplicación móvil para la sistematización de las cafeterías de la Universidad Hipócrates
Authors: Oropeza Jesús , Testa Olga
Published: January 2023

La presente investigación se realizó para diseñar y desarrollar una aplicación móvil para la sistematización de servicios que brindan las cafeterías en la Universidad Hipócrates, coadyuvando en la prevención y control frente a la pandemia y postpandemia en el entorno de desarrollo integrado de Android Studio.Serecurrióa la ingeniería de software como antecedente en el desarrollo de aplicaciones móviles, para ello, se utilizó la metodología PROTOTYPING, en la cual se inició recabando los requerimientos detectados en los diagramas y descripciones de Casos de Uso, para así poder llevar acabo las tablas de la base de datos y el diseño rápido en el software Balsamiq Mockups, partiendo hacia el desarrollo de la aplicación en el entorno de desarrollo integrado de Android Studio de acuerdo a los datos compilados anteriormente. De igual manera, se hizo énfasis en las librerías usadas para la conexión de la base de datos, animaciones, botones personalizados e imágenes. Los resultados obtenidos cumplieron con las funciones principales de la aplicación, con base a ello surgieron nuevas mejoras para el software “CoffeShop”. Por último, el uso de la aplicación cumplió con las pautas establecidas por la Procuraduría Federal del Consumidor ante un posible contagio mediante el contacto físico al realizar el pago mediante el uso de la tecnología.