bluuebunny/crossref_metadata_2025 huggingface dataset:
Probabilistic Assessment of Pluvial Flood Risk Across 20 European Cities: A Demonstrator of the Copernicus Disaster Risk Reduction Service for Pluvial Flood Risk in Urban Areas
Authors: Essenfelder Arthur H. , Bagli Stefano , Mysiak Jaroslav , Pal Jeremy S. , Mercogliano Paola , Reder Alfredo , Rianna Guido , Mazzoli Paolo , Broccoli Davide , Luzzi Valerio
Published: October 2022

Pluvial flooding is a major concern in urban environments with limited or temporarily reduced efficiency of surface drainage. Climate change, land use change, and increased exposure in hazard prone areas play a role in increasing pluvial flood risks. We describe a methodology for rapid probabilistic pluvial flood hazard mapping and risk assessments in urban environments developed for the Copernicus Climate Change Service “Pluvial Flood Risk Assessment in Urban Areas” demonstrator project for large computational domains. The methodology is designed to be flexible and robust enough to be adapted to other cities in Europe and elsewhere, and is composed of three main steps: (i) computation of the intensity–frequency relationship to express the depth of extreme hourly rainfall events at the urban scale; (ii) characterization of the pluvial flood hazard by means of raster-based flood modeling, and; (iii) estimation of the direct tangible damages at the building level for residential, commercial, and industrial buildings. Methods are tested for 20 cities across Europe and considering two infiltration rate scenarios. Spatial-explicit results at the urban-scale highlight the neighborhoods and sub-urban areas more adversely affected in terms of direct tangible damage to buildings and assets. Probabilistic risk assessment results indicate that Brussels, Antwerp, and London are the cities with higher expected annual damages per built-up area among the 20 cities considered in this study. These results can be useful for supporting the implementation of the Sendai Framework for DRR 2015–2030, for developing multi-hazard risk assessments, and for supporting the development of national climate change adaptation plans.
Retrieving API Knowledge from Tutorials and Stack Overflow Based on Natural Language Queries
Authors: Wu Di , Jing Xiao-Yuan , Zhang Hongyu , Feng Yang , Chen Haowen , Zhou Yuming , Xu Baowen
Published: October 2022

When encountering unfamiliar APIs, developers tend to seek help from API tutorials and Stack Overflow (SO). API tutorials help developers understand the API knowledge in a general context, while SO often explains the API knowledge in a specific programming task. Thus, tutorials and SO posts together can provide more API knowledge. However, it is non-trivial to retrieve API knowledge from both API tutorials and SO posts based on natural language queries. Two major problems are irrelevant API knowledge in two different resources and the lexical gap between the queries and documents. In this article, we regard a fragment in tutorials and a Question and Answering (Q&A) pair in SO as a
knowledge item
(KI). We generate ⟨
API, FRA
⟩ pairs (FRA stands for fragment) from tutorial fragments and APIs and build ⟨
API, QA
⟩ pairs based on heuristic rules of SO posts. We fuse ⟨
API, FRA
⟩ pairs and ⟨
API, QA
⟩ pairs to generate API knowledge (AK for short) datasets, where each data item is an ⟨
API, KI
⟩ pair. We propose a novel approach, called PLAN, to automatically retrieve API knowledge from both API tutorials and SO posts based on natural language queries. PLAN contains three main stages: (1) API knowledge modeling, (2) query mapping, and (3) API knowledge retrieving. It first utilizes a deep-transfer-metric-learning-based relevance identification (DTML) model to effectively find relevant ⟨
API, KI
⟩ pairs containing two different knowledge items (⟨
API, QA
⟩ pairs and ⟨
API, FRA
⟩ pairs) simultaneously. Then, PLAN generates several potential APIs as a way to reduce the lexical gap between the query and ⟨
API, KI
⟩ pairs. According to potential APIs, we can select relevant ⟨
API, KI
⟩ pairs to generate potential results. Finally, PLAN returns a list of ranked ⟨
API, KI
⟩ pairs that are related to the query. We evaluate the effectiveness of PLAN with 270 queries on Java and Android AK datasets containing 10,072 ⟨
API, KI
⟩ pairs. Our experimental results show that PLAN is effective and outperforms the state-of-the-art approaches. Our user study further confirms the effectiveness of PLAN in locating useful API knowledge.
Biology and Management of the Spotted Lanternfly, Lycorma delicatula (Hemiptera: Fulgoridae), in the United States
Authors: Urban Julie M. , Leach Heather
Published: October 2022

Spotted lanternfly, Lycorma delicatula (White), invaded the eastern United States in 2014 and has since caused economic and ecological disruption. In particular, spotted lanternfly has shown itself to be a significant pest of vineyards and ornamental plants and is likely to continue to spread to new areas. Factors that have contributed to its success as an invader include its wide host range and high mobility, which allow it to infest a wide range of habitats, including agricultural, urban, suburban, and managed and natural forested areas. Management is dependent on chemical use, although no single currently available control measure alone will be sufficient.
The Role of Health Care Communication in Treatment Outcomes
Authors: Stivers Tanya , Tate Alexandra
Published: October 2022

The physician–patient relationship has evolved significantly in the past century. Physician authority has been reduced while patients have been empowered. This review focuses on face-to-face clinical care and argues that current physician–patient relations range from partnerships between social actors who each play critical roles in negotiating care to a more adversarial duel in which both participants advocate for goals that are not necessarily shared. While the former is the hope of increased patient involvement, the latter is increasingly common. Through our discussion of existing studies, we document that while high levels of patient participation are beneficial to treatment outcomes, this engagement also has a dark side that threatens treatment outcomes. We discuss some communication resources patients use that affect treatment outcomes, exemplify how patient engagement affects physician communication, and discuss some strategies that current research finds effective for communicating about treatment with today's engaged patients.
Osteoclasts, Master Sculptors of Bone
Authors: Veis Deborah J. , O'Brien Charles A.
Published: October 2022

Osteoclasts are multinucleated cells with the unique ability to resorb bone matrix. Excessive production or activation of osteoclasts leads to skeletal pathologies that affect a significant portion of the population. Although therapies that effectively target osteoclasts have been developed, they are associated with sometimes severe side effects, and a fuller understanding of osteoclast biology may lead to more specific treatments. Along those lines, a rich body of work has defined essential signaling pathways required for osteoclast formation, function, and survival. Nonetheless, recent studies have cast new light on long-held views regarding the origin of these cells during development and homeostasis, their life span, and the cellular sources of factors that drive their production and activity during homeostasis and disease. In this review, we discuss these new findings in the context of existing work and highlight areas of ongoing and future investigation.
OAT, OATP, and MRP Drug Transporters and the Remote Sensing and Signaling Theory
Authors: Nigam Sanjay K. , Granados Jeffry C.
Published: October 2022

The coordinated movement of organic anions (e.g., drugs, metabolites, signaling molecules, nutrients, antioxidants, gut microbiome products) between tissues and body fluids depends, in large part, on organic anion transporters (OATs) [solute carrier 22 (SLC22)], organic anion transporting polypeptides (OATPs) [solute carrier organic (SLCO)], and multidrug resistance proteins (MRPs) [ATP-binding cassette, subfamily C (ABCC)]. Depending on the range of substrates, transporters in these families can be considered multispecific, oligospecific, or (relatively) monospecific. Systems biology analyses of these transporters in the context of expression patterns reveal they are hubs in networks involved in interorgan and interorganismal communication. The remote sensing and signaling theory explains how the coordinated functions of drug transporters, drug-metabolizing enzymes, and regulatory proteins play a role in optimizing systemic and local levels of important endogenous small molecules. We focus on the role of OATs, OATPs, and MRPs in endogenous metabolism and how their substrates (e.g., bile acids, short chain fatty acids, urate, uremic toxins) mediate interorgan and interorganismal communication and help maintain and restore homeostasis in healthy and disease states.
Evaluation of Risk Factors of Peri-Implant Disease Using a New Manual Risk Assessment Model: A Clinical study
Authors: Jain Mahima , Bin Shaffa’ee Mohd Shafiq , Uppoor Ashita , Pralhad Swati , Nayak Sangeeta U. , Saldanha Sharon
Published: October 2022

Background. Implants are being widely used as a treatment option and are considered the best line of treatment owing to their high level of predictability. However, over 5 years, 0–14.4% of dental implants have demonstrated peri-inflammatory reactions associated with loss of crestal bone and ultimately loss of the implant. Peri-implant diseases are categorized into peri-implant mucositis and peri-implantitis. There are a number of risk factors associated with these conditions, and the early detection of these possible risk factors, change in the treatment protocol whenever required along with a regular follow-up, can ensure a better survival rate of dental implants. In the present study, an attempt has been made to evaluate the risk factors associated with peri-implant diseases and also to correlate these risk factors to the prevalence of peri-implant diseases using the formulated risk assessment model. Methodology. The risk assessment model was prepared based on existing literature explaining the risk factors for peri-implant diseases. This study was conducted as a pilot study, and the method of complete sampling was used wherein all subjects in whom implants have been placed at the Department of Periodontology and Department of Prosthodontics were recalled and assessed. The model was then evaluated on patients in whom dental implants were placed and the implants were loaded for a year. A total of 13 subjects with 21 implants were assessed for the presence or absence of risk factors, and a score was given. Test of proportion and chi-square test was done. Results and Discussion. Of the 21 implants assessed, 15 implants were found to be at low risk and 6 implants with moderate risk of peri-implant disease. The number of implants with low risk was higher in implants with peri-implant mucositis (25%) whereas the implants with moderate risk was higher in implants with peri-implantitis (75%). This comparison was statistically significant with a

p

value of 0.022. Conclusion. This risk assessment tool can be used in the early detection of peri-implant disease, and identifying the risk factor may help in the success rate of the implant survival.
Prophetic Energy Assessment with Smart Implements in Hydroelectricity Entities Using Artificial Intelligence Algorithm
Authors: Alqahtani Abdullah Saleh , Kshirsagar Pravin R. , Manoharan Hariprasath , Balachandran Praveen Kumar , Yogesh C. K. , Selvarajan Shitharth
Published: October 2022

An encouraging development is the quick expansion of renewable energy extraction. Harnessing renewable energy is economically feasible at the current rate of technological advancement. Traditional energy sources, such as coal, petroleum, and hydrocarbons, which have negative effects on the environment, are coming under more social and financial pressure. Companies need more solar and wind power because this calls for a well-balanced mix of renewable resources and a higher proportion of alternative energy sources. Sustainable energy can be captured using a variety of techniques. Massive scale and small-sized are the two most prevalent techniques. No renewable energy source possesses an inherent property that restricts how it may be managed or how it can be planned to produce electricity. A number of factors have contributed to a growth in the use of alternative sources, one of which is to mitigate the effects of rising temperatures. To improve the ability to estimate renewable energy, various modeling approaches have been created. This region might use an HRES to give many sources with the inclusion of different energy sources. The inventiveness of solar and wind power and the brilliant ability of neural networks to handle complex time-series data signals have both aided in the prediction of sustainable energy. Therefore, this research will examine the numerous information models in order to determine which proposed models can provide accurate projections of renewable energy output, such as sunlight, wind, or pumped storage. In the fields of sustainable energy predictions, a number of machine learning methods, such as multilayer perceptions MLP, RNN CNN, and LSTM designs, are frequently utilized. This form of modeling uses historical data to predict potential values and can predict short-term patterns in solar and wind generation.
Strategies to Improve Patient Flow in the Emergency Department during the COVID-19 Pandemic: A Narrative Review of Our Experience
Authors: Al-Shareef Ali S. , Al Jabarti Azzah , Babkair Kholoud A. , Jamajom Maan , Bakhsh Abduallah , Aga Syed Sameer
Published: October 2022

Objective. The COVID-19 pandemic has resulted in a tremendous strain on the global healthcare system. Emergency departments worldwide have been challenged to the extreme end. This has led clinicians and policy creators to rearrange patient flow pathways for an efficient emergency department (ED). Methods. It was reported according to our experience of utilizing a novel strategy to enhance patient flow while reducing the risk of infection transmission among patients and healthcare staff. This included the development of three layers of triage. First, an outer checkpoint prior to the hospital entrance was established to identify eligible patients for emergency department visits. The second layer of triage is located at the ED entrance to direct patients either to the respiratory or nonrespiratory care area to identify potentially infected patients and the third is the routine full triage activity. Then, after completing a clinical assessment in the ED, physicians determine the need for an inpatient isolation unit, a nonisolation inpatient unit, or discharge. Moreover, examples of additional measures were substantial changes to shift schedules; rerouting ambulance crews with COVID patients to inpatient beds directly bypassing the ED; controlled use of personal protective equipment (PPE); and implementing appropriate COVID-19 screening tests. Results. During the peak of the pandemic, our strategies achieved favorable results and minimized unnecessary ED visits without any patient complications. Conclusion. This current study provides a set of newly developed steps and procedures that can be further control patient flow pathways and maintain a low risk of infection transmission to a manageable level for an efficient ED.
The Development of Intelligent Education and Teachers’ Professional Informatization Led by an Intelligent Ubiquitous Network
Authors: Zhang Yuyuan , Zhang Hai
Published: October 2022

This study applies intelligent ubiquitous network technology to the field of education and leads to the benign development of intelligent education and teachers’ professional informatization. This study proposes the concepts of eco-classroom, smart education, and flipped classroom and conducts practical research on the teaching effectiveness of the three elements of eco-classroom: teachers, students, and environment. Because of the problems of inaccurate positioning of data fusion, single application function, and difficulty of automatic correlation of data stored in multiple networks in the intelligent ubiquitous sensing environment, the method and path of multidimensional data fusion governance are proposed and put into practice to achieve good results in practice. Based on the characteristics of ubiquitous learning in time, space, and dimensional changes between reality and time, combined with the law of knotted learning and Bloom’s mastery learning theory, the five components of the teaching model and their correlations are sorted out, and the teaching model of higher education under the vision of ubiquitous learning is constructed to achieve the goal of students’ mastering knowledge and skills and promote the innovation of the education and teaching model. The model interaction site is created, a ranking system is developed, and professional standards for the new era are developed to help educators reconstruct their professional competencies. The concept and characteristics of knowledge sharing in the ubiquitous network environment are analyzed, the knowledge sharing model in the ubiquitous network learning environment is constructed, the status of knowledge sharing practice in the ubiquitous network environment is studied, and suggestions for improvement are put forward to optimize knowledge sharing in the ubiquitous network learning environment.
Development and Validation of Embedded Device for Electrocardiogram Arrhythmia Empowered with Transfer Learning
Authors: Asif Rizwana Naz , Abbas Sagheer , Khan Muhammad Adnan , Atta-ur-Rahman  , Sultan Kiran , Mahmud Maqsood , Mosavi Amir
Published: October 2022

With the emergence of the Internet of Things (IoT), investigation of different diseases in healthcare improved, and cloud computing helped to centralize the data and to access patient records throughout the world. In this way, the electrocardiogram (ECG) is used to diagnose heart diseases or abnormalities. The machine learning techniques have been used previously but are feature-based and not as accurate as transfer learning; the proposed development and validation of embedded device prove ECG arrhythmia by using the transfer learning (DVEEA-TL) model. This model is the combination of hardware, software, and two datasets that are augmented and fused and further finds the accuracy results in high proportion as compared to the previous work and research. In the proposed model, a new dataset is made by the combination of the Kaggle dataset and the other, which is made by taking the real-time healthy and unhealthy datasets, and later, the AlexNet transfer learning approach is applied to get a more accurate reading in terms of ECG signals. In this proposed research, the DVEEA-TL model diagnoses the heart abnormality in respect of accuracy during the training and validation stages as 99.9% and 99.8%, respectively, which is the best and more reliable approach as compared to the previous research in this field.
Cancer Cell Membrane Biomimetic Mesoporous Nanozyme System with Efficient ROS Generation for Antitumor Chemoresistance
Authors: Tang Wenxue , Li Xiang , Lyu Meng , Huang Qinqin
Published: October 2022

Single-atom nanozymes (SAZs) with reaction specificity and optimized catalytic properties have great application prospects in tumor therapy. But the complex tumor microenvironment (low content of H2O2) limits its therapeutic effect. In this study, we developed a bionic mesoporous Fe SAZs/DDP nanosystem (CSD) for enhanced nanocatalytic therapy (NCT)/chemotherapy by simultaneously encapsulating the chemotherapeutic drugs cisplatin (DDP) and Fe SAZs with high peroxidase (POD) activity into the cancer cell membrane. CSD could evade immune recognition and actively targets tumor sites, and DDP upregulates endogenous H2O2 levels by activating nicotinamide adenine dinucleotide phosphate (NADPH) oxidase, thereby enhancing SAZs-mediated hydroxyl radical (·OH) production, which subsequently leads to mitochondrial damage and intolerance to chemotherapy drug. We used the HGC27/DDP cell line for in vitro and in vivo experiments. The results showed that CSD achieved good therapeutic benefits, without any side effects such as inflammatory reaction. This system can induce multiple antitumor effect with H2O2 self-supply, mitochondrial damage, and ATP downregulation and eventually lead to chemosensitization.
Computed Tomography (Ct) Scan Assisted Machine Learning in the Management of Artifacts Related to Paranasal Sinuses and Anterior Cranial Fossa
Authors: Musleh Abdullah
Published: October 2022

Computed tomography (CT), through the use of ionizing radiation, allows us to assess the different parts of the body. It is made up of an X-ray tube that rotates rapidly around the patient generating the radiation beam. This is attenuated with the patient producing information, which is collected by the detectors that are opposite to the tube located in the gantry (part of the tomography equipment); finally, these collected data are sent to the computer that will reconstruct the information obtained and will represent it as an image on the monitor. In the practice of a study, artifices or artifacts may appear regardless of their origin, which limits the scan examination; this leads to stopping the examination and starting again, and added to this with the contrast media, they have to apply these drugs again. State-of-the-art scanners allow complete reconstructions to be performed with few projections, limiting radiation doses, by means of statistical algebraic reconstruction methods. The present work shows the simulation of artifacts in sinusitis diagnosis computed tomography images, the extraction of features from each image, and an automatic classification algorithm for the differentiation of artifacts. The results show that the algorithm is able to classify the simulated artifacts with a percentage of 90%.
Study on the Influence of Seepage Conditions with Different Rainfall Intensities on the Structural Evolution of Soil-Rock Mixture Filler
Authors: Wang Yueyue , Mao Xuesong , Wu Qian , Dai Zeyu
Published: October 2022

The rainfall conditions cause seepage in the soil-rock mixture (SRM) filler subgrade, leading to the loss of fine particles and the change of soil structure, which eventually leads to large uneven deformation or instability of the subgrade. The particle loss test device was applied to conduct the seepage test of SRM filler, monitor the change process of permeable quality, fine particle loss and sedimentation of filler under different rainfall conditions, and analyze the evolution process of soil structure and sedimentation characteristics. The result shows that the rainfall intensity affects the permeability of the filler, and then accelerates the loss of fine particles under water migration. With the condition of the same rainfall duration, the hourly water permeability increased firstly and then gradually stabilized with the rainfall duration. The total water permeability mass, fine particle loss, and real-time sedimentation increased with the rainfall intensity. With the same rainfall condition, the maximum hourly water permeability under short-term heavy rainfall condition is about three times that under heavy rainfall condition, which is more serious for the internal erosion of SRM filler. The total water permeability mass, fine particle loss, and real-time sedimentation increased with the rainfall intensity. The stages of skeleton remodeling and relative stability are the most serious stages of filler skeleton structure damage. The sedimentation deformation of filler has hysteresis, resulting in the occurrence of sedimentation much later than the loss of fine particles and skeleton deformation. After the rainfall stops, with the loss of fine particles and water dissipation, the filler will occur secondary sedimentation, resulting in an increase in the final sedimentation as the rainfall intensity increases, making it possible for subsidence damage of the roadbed to occur both during and after the rainfall. Extreme rainfall conditions (short-term heavy rainfall) have the most obvious effect on the structural damage of the subgrade.
Thermodynamic, Nonlinear Kinetic, and Isotherm Studies of Bisphenol A Uptake onto Chemically Activated Carbons Derived from Safou (Dacryodes edulis) Seeds
Authors: Donlifack Atemkeng Cyrille , Tamo Arnaud Kamdem , Doungmo Giscard , Amola Liouna Adoum , Kouanang Ngouoko Julio Jimmy , Kamgaing Théophile
Published: October 2022

The interest of this work is to evaluate the possibility of using safou seeds to develop a new low-cost adsorbent and study its application to remove bisphenol A from an aqueous solution for a sustainable and ecological use of this biomass. This was done by optimizing some parameters that influence the adsorption process. The central composite design with four centre points was used to optimize the process variables. The concentration of bisphenol A solution, adsorbent dosage, stirring time, and solution pH on the adsorption capacity were considered, while the response measured was the quantity adsorbed. The activated carbon obtained by treatment with H2SO4 was named NSST and that obtained by treatment with H3PO4 was named NSPT. XRD revealed an amorphous character for the ACs, and EDXS showed they are mainly carbonaceous. Under the optimal adsorption conditions, NSPT showed the best performance. Correlation coefficients R2 and R2adj were of 85.13 and 69.12% for NSPT and 83.71 and 66.17% for NSST. A pseudo-second-order nonlinear kinetic model best described the adsorption kinetic of BPA removal by the ACs. Langmuir’s isotherm best described the adsorption of BPA onto both adsorbents. Thermodynamic studies suggested an exothermic and physisorption process.
Cloud Data System Design for Mental Crisis State Recognition of College Students Based on Machine Learning
Authors: Zhang Huimin , Guo Sidong
Published: October 2022

At present, Chinese college students are facing a lot of psychological pressure; whether it is teaching pressure or life pressure, it will have a certain adverse impact on college students’ psychological state, and if timely guidance is not provided, it will result in some adverse consequences. Therefore, it is necessary to timely identify the psychological crisis situation of college students, but the existing form of manual identification has high limitations, which cannot obtain the psychological state of students more accurately and efficiently, so it is necessary to optimize and improve with the help of network technology. Cloud computing data system is one of the mature big data systems at present. The combination of cloud computing system and machine learning technology is effectively applied to the field of psychological crisis analysis, which can quickly screen the psychological status of college students and report abnormal data in a timely manner, so as to help college psychological teachers identify the state of college students’ psychological crisis and intervene in a timely manner to promote the physical and mental health of students. By applying machine learning technology for the establishment of a cloud computing data system and putting the system into the field of psychological crisis identification of Chinese college students, this study lays a theoretical and practical foundation for preventing students from the psychological crisis.
Design of Hotel Human Interaction System Based on Deep Learning
Authors: Ma Caiwei
Published: October 2022

This paper designs a hotel human-computer interaction (HCI) system which is based on deep learning. The whole system mainly includes face detection, speech synthesis, and speech recognition. Real time face detection is realized by transplanting the Opencv library into the Android system and combining that with the AdaBoost algorithm. Furthermore, the local speech recognition is realized through the special chip for speech recognition hbr740, while the local speech synthesis is realized through the special chip for speech synthesis syn6288. Subsequently, the massive speech resources are obtained through the network connection into the iFLYTEK’s open platform, which can realize online speech recognition, semantic understanding, and speech synthesis. In the data flow phase, we transmit data to the lower computer through the serial port of tiny4412 in order to realize the motion control of the lower computer. This is achieved through the SQLite database for system voice interaction and motion control, which is built through the jar package of the Litepal and POI. Finally, a hybrid voice interaction system is designed combining the local voice interaction with the online voice interaction. Through numerical simulation, the suggested system is tested to verify the feasibility of the hybrid voice interaction scheme. We observed that when the network is in good condition, the speech recognition rate of the whole system reaches as high as 94.67%; while without the network, the speech recognition rate can still reaches up to 84.67%. The attained outcomes demonstrate the superiority of the suggested hybrid system.
Construction of a Smart Supply Chain for Sand Factory Using the Edge-Computing-Based Deep Learning Algorithm
Authors: Li Bin , Zhang Xuejun , Ban Yanjiao , Xu Xianfu , Su Wenjun , Chen Jingxian , Zhang Shan , Li Feng , Liang Zuopeng , Zhou Shengkai
Published: October 2022

The diminishing natural sand has facilitated the booming of the sand manufacturing industry, and intelligent management of sand factories, in a time- and cost-efficient way, has become a growing tendency for the future. A role has been played in achieving intelligent management by constructing a smart supply chain. However, the smart sand factories are hardly involved in previously reported studies, which is inconsistent with related studies on smart factories and the Industrial Internet of Things (IIoT). In this paper, a smart supply chain management system (SSCMS) is constructed to realize the intelligence and automatization of the management of sand factories, using edge-computing and deep learning techniques. Along the supply chain, the deep learning model is used to realize the automatic identification of sand, avoiding the disadvantages of human identification, while improving the quality of sand factory operations. In order to relieve the pressure of network bandwidth, reduce system delay, and improve system operation efficiency, we use edge-computing technology to process data at the edge. To verify the performance of the constructed system, a sand factory simulation platform is established. Experiments show that the most critical indicator in the system, the accuracy rate of sand type identification, is above 98%, and the sand type identification time is only 0.022 s. In general, compared with traditional supply chain management, the constructed smart supply chain improves the quality and efficiency of sand factory operations, and all indicators of the designed system have achieved satisfactory results.
Traditional Chinese Medicine Syndromes are Associated with Driver Gene Mutations and Clinical Characteristics in Patients with Lung Adenocarcinoma
Authors: Yang Jili , Lu Haiyan , Jing Niancai , Wang Bo , Guo Huanyu , Sun Shoukun , Zhang Yue
Published: October 2022

This study aimed to investigate the associations between traditional Chinese medicine (TCM) syndromes and driver gene mutations as well as the clinical characteristics of patients with lung adenocarcinoma. We performed a cross-sectional study in patients with lung adenocarcinoma between June 2020 and October 2021. The patient characteristics, such as age, sex, smoking history, clinical stage, metastasis, driver gene mutations, and the type of traditional Chinese medicine syndrome/element, were collected. The associations between each TCM syndrome and sex, smoking history, clinical stage, metastasis, and driver gene mutations were analyzed. The present study included 127 patients. The most frequent TCM syndromes were Qi and Yin deficiency (39, 30.7%) and lung-spleen Qi deficiency (32, 25.2%). Eighty-one (63.8%) patients had mutations in driver genes, especially in the EGFR gene (64, 79.0%). There was a statistically significant association between a driver gene mutation and TCM syndrome (

P
<
0.05

). Genetic mutations presented more frequently in patients with Qi and Yin deficiency (37.0%), lung-spleen Qi deficiency (30.0%), or the cold element (59.3%). Male patients were more likely to have Qi stagnation and blood stasis, whereas female patients were more likely to have lung-spleen Qi deficiency or Qi and Yin deficiency. The patients with lung-spleen Qi deficiency were usually younger than those with Qi and Yin deficiency or Qi stagnation and blood stasis (

P
<
0.05

). Compared with the patients with other TCM syndromes, the patients with Yin and Yang deficiency were more likely to have bone metastasis. TCM syndromes were associated with driver gene mutations, sex, age, and bone metastasis in patients with lung adenocarcinoma.
An Analysis of Crosswalks from Research Data Schemas to Schema.org
Authors: Wu Mingfang , Richard Stephen M. , Verhey Chantelle , Castro Leyla Jael , Cecconi Baptiste , Juty Nick
Published: October 2022

The increased number of data repositories has greatly increased the availability of open data. To enable broad discovery and access to research dataset, some data repositories have begun leveraging the web architecture by embedding structured metadata markup in dataset web landing pages using vocabularies from Schema.org and extensions. This paper aims to examine metadata interoperability for supporting global data discovery. Specifically, the paper reports a survey on which metadata schema has been adopted by participating data repositories, and presents an analysis of crosswalks from fourteen research data schemas to Schema.org. The analysis indicates most descriptive metadata are interoperable among the schemas, the most inconsistent mapping is the rights metadata, and a large gap exists in the structural metadata and controlled vocabularies to specify various property values. The analysis and collated crosswalks can serve as a reference for data repositories when they develop crosswalks from their own schemas to Schema.org, and provide the research data community a benchmark of structured metadata implementation.
Gates and Entrances in Ezekiel 40–48: The Social Utopia of the Temple Vision
Authors: Rhyder Julia
Published: October 2022

The temple vision of Ezek 40–48 devotes considerable attention to measuring and describing the various gates and entrances of the temple compound. Previous studies have tended to focus on the defensive function of the gates. However, these structures not only bar entry but also facilitate access to the temple under certain ritualized conditions. Offering a close reading of the references to the gates in Ezek 40–48, in which particular roles and activities are associated with specific entrances, this article shows how these architectural features of the temple map a differential system in which social hierarchies are organized according to the level, direction, and timing of access ascribed to different groups and individuals within the temple compound. The article concludes by exploring the significance of the gates for how we understand the literary genre of the temple vision of Ezek 40–48, and in particular its nature as a social utopia.
Artemidorus Interprets the Dream of Mordecai (Additions to Esther A and F)
Authors: Smith Tyler
Published: October 2022

The Alpha Text (AT) and Old Greek (OG) versions of Esther include six chapter-length passages—the “Additions”—not paralleled in the Hebrew Masoretic Text (MT) of Esther. In Addition A, Mordecai sees a dream marked by battle cries, confusion, thunder, earthquake, chaos, a pair of dragons, preparations for war, darkness and gloom, affliction and anguish, and an outcry to God from a frightened nation of righteous people. A small spring emerges from the outcry and turns into a mighty river, which consumes those held in esteem. Addition F offers a limited interpretation of several elements of this dream but leaves much of the dream uninterpreted. This paper offers a fresh perspective on the Addition A dream and its relationship to the plot of both AT- and OG-Esther in light of Artemidorus’s Oneirocritica, a second-century CE handbook of dream interpretation.
The Stripping of the Bulls: A Reexamination of the Role of Ahaz in Deuteronomistic Historiography
Authors: Heth Raleigh C.
Published: October 2022

Scholars have used the regnal formulae in Kings to reconstruct at least three successive editions at work—a Hezekian version of Kings, a Josianic redaction, and an exilic redaction. Nevertheless, there have only rarely been examinations of how the evaluation of a particular king interacts with the narrative account of that king’s tenure. This paper will examine the ways in which Ahaz’s evaluation is at odds with the narrative depiction of his reign. By analyzing each element of his evaluation, this paper argues that there is evidence that a Josianic or later redactor modified an originally positive evaluation of this king. When taken on its own terms, the narrative account of Ahaz presents a king who rescued his nation, installed a large altar for public use, and removed iconography from the Jerusalem temple. Given this analysis, Ahaz should be understood as a precursor to, rather than a foil of, Hezekiah’s reform program.
The LXX and Historical Greek Phonology: Orthography, Phonology, and Transcriptions
Authors: Kantor Benjamin
Published: October 2022

The growing trend to see the language of the LXX as an authentic example of post-Classical Greek may be extended to phonology and orthography. We can situate the phonology of the LXX within its historical Greek phonological context by implementing a restrictive methodology that focuses on transcribed names, the clusters of certain spelling conventions in relation to “early” and “late” books in the LXX, and manuscript-specific phenomena. We find that its language exhibits the same sort of phonological and orthographic features attested in contemporary documentary and epigraphic material. Codex Vaticanus provides the earliest explicit evidence for one of the notable phonological developments in the history of Greek, the fricativization of χ. It is demonstrated that the phonology of the LXX is right at home in its contemporary historical Greek phonological setting, and that it has unique contributions to make to the wider field of historical Greek phonology at large.
How Egyptian is the Greek of Septuagint?: Some Lexical Notes
Authors: Torallas Tovar Sofía
Published: October 2022

This article explores the linguistic background of the Septuagint translation into Greek of the Old Testament, produced in Alexandria in the third century BCE, and thus likely to present some Egyptian traits. The main purpose is to examine the vocabulary of Egyptian origin, i.e., terms adopted by the Greek language. Since this is not an easy task, a number of methodologies of analysis and comparison with other text corpora are also discussed.
The Law of Neutrality: Jus ad Bellum or Jus in Bello?
Authors: Clancy Pearce
Published: October 2022

This review essay aims to consider the law of neutrality, and whether it may be better situated within the jus ad bellum, the body of law governing the use of force, or the jus in bello, the body of law governing hostilities following the initial use of force. In doing so, the essay centres on the recent monograph by Constantine Antonopoulos on the subject of the law of neutrality, wherein the author assures us that despite the legal innovations of the last century, the law of neutrality has remained squarely within the modern jus in bello. The present writer takes a somewhat different approach, although appreciates the doctrinal allure of keeping the law of neutrality separate from jus ad bellum considerations, particularly in the context of the ongoing Russian invasion of Ukraine.
Precarious Work and the Union Advantage: Paradoxical Findings from Niagara
Authors: Butovsky Jonah , Savage Larry
Published: October 2022

Given the documented advantages of unionization, why don’t more workers support, let alone join, unions? This article presents findings from the Poverty and Employment Precarity in Niagara (PEPiN) study as they relate to precarious work and the union advantage. While precariously-employed workers in Canada’s Niagara Region enjoyed a demonstrable union advantage and were much more likely than other categories of workers to indicate support for unionization, a clear majority of precarious workers still expressed opposition to unionization. The article considers some of possible reasons for these seemingly paradoxical findings through a case study of recent workplace struggles in Niagara.
Legislating in Hard Times
Authors: Akanji Olajide O. , Bonkat-Jonathan Lohna , Ngara Christopher O.
Published: October 2022

This article interrogates the issue of the role of the legislature in social emergencies such as the covid-19 pandemic by examining the impact of the covid-19 pandemic on the legislature and the response of the legislature, using the Nigerian federal legislative institution (the National Assembly) as a case study. The aim is to distil some of the key legislative issues that have emerged since the spread of the virus to Nigeria, the challenges the legislature has faced, which have shaped its efforts to respond to the covid-19 problem, and the efforts of the legislature to address the problem. The article notes that Nigeria’s federal legislature, and indeed all legislatures, have to innovate with new ideas, technology and procedural flexibility in the performance of their traditional functions in order to ensure political accountability and remain relevant in times of emergency.
Morphological and phylogenetic evidence reveal three new species of Aureoboletus (Boletaceae, Boletales) from China
Authors: ZHANG XU , TIAN RUN , TANG LI-PING , LIANG ZHI-QUN , ZHANG WEN-HAO , JIANG SHUAI , WANG CHENG-KAI , ZENG NIAN-KAI
Published: October 2022

Species of Aureoboletus (Boletaceae, Boletales) are diverse in China, and many taxa in the country have been described to date. Here, additional three new species, viz. A. guangdongensis, A. microcarpus, and A. rugosus are described based on morphology and molecular phylogenetic analyses of DNA sequences. Detailed descriptions, color photographs of fresh basidiomata, and line drawings of the microscopic features of the three new taxa are presented.
Tupistra annamensis (Asparagaceae), a new species from central Vietnam
Authors: LÝ NGỌC-SÂM , HOÀNG THANH SƠN , NGUYEN KHANG SINH , ТANAKA NORIYUKI
Published: October 2022

Tupistra annamensis, a new species from central Vietnam is described and illustrated. In the habitats it occurs as an epiphyte or a lithophyte. Having a pendulous scape, this species is similar to such species as T. fungilliformis and T. clarkei, but differs distinctly from them and all other members of this genus by its outer and inner floral bracts subsimilar in size and shape, and sharply acute or aristate, somewhat glumaceous bracts exceeding the flowers. Besides data on the morphological and ecological traits of the new species, we provide notes on its systematic relationships as well.
Pseudomonodictys aquatica sp. nov., the sexual morph of Pseudomonodictys from freshwater habitats
Authors: BAO DAN-FENG , HONGSANAN SINANG , HYDE KEVIN D. , LUO ZONG-LONG , NALUMPANG SARUNYA
Published: October 2022

Pseudomonodictys aquatica was found on a submerged decaying wood from freshwater habitat in Chiang Rai Province, Thailand. Based on phylogenetic analyses of combined ITS, LSU, SSU and TEF1-α sequence data, Pseudomonodictys aquatica is introduced as a new species and it is the first report of sexual morph in this genus. Pseudomonodictys aquatica is characterized by semi-immersed to immersed, globose to subglobose ascomata, clavate, short pedicellate asci and fusiform to cylindrical, (6)–8-septate, hyaline ascospores that are enlarged at the 4th-middle cells and surrounded by a mucilaginous sheath. Morphological characters of the species are compared with the similar taxa in Parabambusicolaceae. The detailed description and illustration of the new species are provided.
Mucor tofus, a new species isolated from Mao-tofu (a fermented soybean food) in China
Authors: WANG YA-NING , ZHENG RU-YONG
Published: October 2022

During studies on the diversity of Mucorales associated with traditional fermentation food from China, two Mucor strains were isolated from the surface of Mao-tofu, a fermented soybean food. Phylogenetic analyses of the internal transcribed spacer (ITS) and the large subunit (LSU) rDNA sequences revealed that the new isolates belong to the M. mucedo group and are closely related to M. mucedo. However, they differ from other species of this group by producing swollen, tall sporangiophores, sporangia measuring 40–260 µm and irregular sporangiospores. The maximum growth temperature of the new isolates is 33 °C, which is higher than other species in the M. mucedo group. Based on the combination of morphological characteristics, growth experiments and molecular phylogenetics, a new species Mucor tofus is proposed. Detailed phylogenetic trees, descriptions and illustrations are provided.
3. The Political Significance of Al-Qur’an dan Terjemahnya
Authors: Lukman Fadhli
Published: October 2022

The third chapter examines the political motivations behind the creation of Al-Qur'an dan Terjemahnya. Using paratextual elements to convey the ruling governments' interests in the translation's production, this chapter demonstrates that QT has been bound to different political interests from different ruling governments since its commencement. It contends that the production of QT is linked to the struggle to maintain or restructure power relations in stages during the Sukarno, Suharto, and post-Suharto periods of the state's political development. Furthermore, this chapter elaborates on the motivation for producing the official Qur’an translation in the context of national language development, that is to enhance the use of the national language amongst Muslim citizens and to the shift the language of Islamic scholarship from Arabic or regional languages to the Indonesian national language.
Theorizing Human Resource Development Practices in Extended Contexts: Invited Reaction 2
Authors: Yoon Hyung Joon
Published: October 2022

The first strength of Wang and Doty’s (2022) theorizing of HRD practices is its applicability to both micro and macro HRD practices. With the three components—host institutional system (HIS), shaping, and skilling—both organizational and national HRD practices can be explained. Second, their theorizing makes HRD embrace organization development (OD) more closely. The third strength is that it could be used to discern what HRD is and is not. The primary challenge of the theorizing is a lack of appreciation of human agency exerted by the members and HRD practitioners of a closed HIS. Second, selecting appropriate measures and computing variables for analysis using the proposed mathematical formulations seems too complicated if not impossible. Lastly, the premise of the theorizing of HRD practices—the belief that each human system can be classified as an open or a closed HIS—may not work in many HISs.