bluuebunny/crossref_metadata_2025 huggingface dataset:
A NOVEL TEMPERED FRACTIONAL TRANSFORM: THEORY, PROPERTIES AND APPLICATIONS TO DIFFERENTIAL EQUATIONS
Authors: SAIFULLAH SAYED , ALI AMIR , KHAN ARSHAD , SHAH KAMAL , ABDELJAWAD THABET
Published: January 2023

In this paper, we develop a new technique known as Tempered Fractional [Formula: see text]-Transform (TF[Formula: see text]T). This scheme can be applied to study numerous linear and nonlinear dynamical systems in tempered fractional (TF) calculus in both Riemann–Liouville and Caputo and sense. Some new theories, properties, and applications of the above-mentioned [Formula: see text]-transform are calculated in detail. The proofs of some important theorems on TF Riemann–Liouville and Caputo derivatives are proved based on TF[Formula: see text]T. For validation, accuracy and efficiency, the general TF equations as well as TF linear and nonlinear Klein–Gordon equations are studied by using the proposed transform with the numerical illustrations. It is observed that the proposed technique is fast convergent and the results are the first precise confirmations of TF[Formula: see text]T in tempered calculus for nonlinear systems. This work can be studied as a substitute to present mathematical methods and will have extensive applications in physical sciences.
MIMO Multi-Frequency Active Vibration Control for Aircraft Panel Structure Using Piezoelectric Actuators
Authors: Li Weiguang , Yang Zhichun , Liu Ke , Wang Wei
Published: January 2023

Undesirable vibration of aircraft panel structures has a significant impact on the safety of their occupants and the operational reliability of various systems. The traditional time-domain controller based on the parallel multi-frequency filtered-x least mean square (FxLMS) control algorithm is simple and effective. However, the mutual influence of convergence steps and the induced harmonic components will limit its performance. An improved parallel multi-input multi-output multi-frequency FxLMS (MIMOMF-FxLMS) algorithm is proposed, considering the multi-input multi-output (MIMO) control requirement of the aircraft panel structure active vibration control (AVC) system and its inevitable channel coupling phenomenon. The feedback error signal and the control channel model are processed by frequency division in the MIMOMF-FxLMS algorithm, so that the FxLMS algorithm of each control channel runs independently, effectively avoiding mutual interference between convergence steps and the generation of induced harmonic components. Simulation and experimental research on multi-frequency AVC of the panel structure model is performed using a new type of piezoelectric stack actuator. The test results show that the proposed controller reduces the vibration level of each observation point by more than 98%, and the vibration responses of the first two-order frequency component are significantly suppressed, which also has strong adaptability and anti-noise ability.
Scalar extension Hopf algebroids
Authors: Stojić Martina
Published: January 2023

Given a Hopf algebra [Formula: see text], Brzeziński and Militaru have shown that each braided commutative Yetter–Drinfeld [Formula: see text]-module algebra [Formula: see text] gives rise to an associative [Formula: see text]-bialgebroid structure on the smash product algebra [Formula: see text]. They also exhibited an antipode map making [Formula: see text] the total algebra of a Lu’s Hopf algebroid over [Formula: see text]. However, the published proof that the antipode is an antihomomorphism covers only a special case. In this paper, a complete proof of the antihomomorphism property is exhibited. Moreover, a new generalized version of the construction is provided. Its input is a compatible pair [Formula: see text] and [Formula: see text] of braided commutative Yetter–Drinfeld [Formula: see text]-module algebras, and output is a symmetric Hopf algebroid [Formula: see text] over [Formula: see text]. This construction does not require that the antipode of [Formula: see text] is invertible.
Evaluating the Mobile Learning Quality for Promoting the User Needs in Taiwanese Higher Education During COVID-19
Authors: Lu Ming-Tsang , Huang Jui-Chieh , Wang Ming-Hui
Published: January 2023

This study explores the strategic issues related to the mobile learning quality in Taiwanese higher education during the COVID-19 pandemics. While much previous study determined the factors affecting mobile learning quality, seldom research works discussed the influence weights of the elements and their interrelations in the higher education through a comprehensive view. Hence, the purpose of this research is to explore the interrelationships and feedback between the factors affecting mobile learning quality via a combined multiple attribute decision-making (MADM) method, which will include decision-making trial and evaluation laboratory (DEMATEL), and DEMATEL-based ANP (DANP) approaches. This recommended approach can offer guidance to prioritize the influence elements in the enhancement plans for mobile learning quality. This research uses the recommended approach in the higher education in Taiwan as an empirical study during COVID-19. These findings results state which service quality needs to be enhanced primarily, and learning ability is the most important factor influencing mobile learning quality during COVID-19. Furthermore, the results show that system quality perspective has the strongest impact on the relations and it also has an important effect on other perspectives. The results can provide guidance on assigning resources of limit to improve this mobile learning quality in Taiwanese higher education in the COVID-19 pandemics.
Rational Franklin MRA and its Wavelets
Authors: Murugan S. Pitchai , Youvaraj G. P.
Published: January 2023

In signal processing, rational [Formula: see text]-wavelets are preferable than the wavelets corresponding to dyadic MRA because it allows more variations in scale factors of signal components. In this paper, for a rational number [Formula: see text] and [Formula: see text], we consider a collection [Formula: see text], the space of all continuous functions in [Formula: see text] that are linear on [Formula: see text] and [Formula: see text] for all [Formula: see text]. For [Formula: see text], under certain conditions, we prove that, if [Formula: see text] generates a [Formula: see text]-MRA, then [Formula: see text]. Also, we show that if [Formula: see text], there exists a function [Formula: see text], satisfying the above conditions, that generates [Formula: see text]-MRA. In addition, we construct orthonormal [Formula: see text]-wavelets corresponding to [Formula: see text]-MRA.
A SUCCESSFUL PLATELET-RICH PLASMA TREATMENT IN A FAWN WITH OVER-MOTHERING WOUND IN THE PERINEAL AREA
Authors: Hsu Huan-Yu , Thongrueang Natcha , Ke Guan-Ming , Lee Hsu-Hsun
Published: January 2023

Over-mothering syndrome is common in intensive deer farming; the wound is usually deep and hard to take care of, and results in neonatal mortality increased by bacterial infection related to the wound. Regenerate therapy might be an option for treating severe wounds due to over-mothering syndrome. Autologous platelet-rich plasma (PRP) is a widely used method to treat orthopedic issues in humans and animals. It contains several concentrated growth factors to promote tissue regeneration, without the complications of overreaction or of rejection issues. This report presents the successful treatment of autologous PRP in a fawn with a [Formula: see text][Formula: see text]cm wound in the perineal area, caused by an over-mothering doe. Autologous PRP was injected on both sides of the proximal of the gluteobiceps muscle and applied 3 times over the 20-day treatment period. The wound displayed rapid tissue regeneration with no complications. This successful application of PRP is the first report to enhance the regeneration of the vulva and the anus in a large animal. The PRP was injected on the proximal of the wound rather than directly on the wound to reduce potential irritation from physical contact to the wound, and the regeneration process was nice and fast. This protocol could provide clinical veterinarians with an effective and low labor cost method to treat severe and contaminated wounds in the perineal area.
Double Sampling Adaptive Thresholding LASSO Variability Chart for Phase II Monitoring of High-Dimensional Data Streams
Authors: Salmasnia Ali , Maleki Mohammad Reza , Mirzaei Mohadeseh
Published: January 2023

In many manufacturing or service systems, the product quality and/or process outcome is described in terms of a large number of quality characteristics. Since the use of large sample sizes in such systems imposes significant costs on the manufacturer, the sample size is usually considered smaller than the process dimension. In this condition, which is referred to high-dimensionality, the sample covariance matrix is not a positive semi-definite matrix. Moreover, another issue to establish variability control charts under high-dimensional setting is their speed to detect the process disturbances under both diagonal and off-diagonal shift patterns. To solve these drawbacks, in this study, a double sampling-based adaptive thresholding LASSO control chart called DSATL is developed to monitor the variability matrix of high-dimensional processes under sparsity assumption. The run length distribution of the DSATL chart under seven out-of-control patterns is evaluated taking a different number of quality characteristics into account. The simulation results show that the detectability of the DSATL chart outperforms the classical adaptive thresholding LASSO one under various changes in the process covariance matrix. The results also confirm that the sensitivity of the DSATL chart for real-time detection of covariance matrix anomalies improves as the process dimension increases.
Applying the Zachman Framework for the Enterprise Architecture of Research Organizations (Case Study: Academic Center for Education, Culture and Research of Iran)
Authors: Ghahremani-Nahr Javid , Parviznejad Paria Samadi , Nozari Hamed
Published: January 2023

In this paper, the enterprise architecture engineering model is presented for research organizations which Academic Center for Education, Culture and Research (ACECR) has chosen as a case study. Also the Zachman framework has been used to complete the layers of enterprise architecture. By studying the research background, it was observed that most of the studies are in the field of organizational architecture technologies and the difference between this research and other studies on the implementation of organizational architecture in research organizations has not been done in previous studies. So we decided to study the layers of organizational architecture in Jihad, which is a research center. This paper has a qualitative approach as a purpose and survey-analytical as a data collection. The statistical population includes all personnel and its statistical sample includes the representatives of ACECR of East Azerbaijan province. Based on the four phases performed in accordance with the Zachman framework, the organization’s processes were identified and information related to the Zachman layers was completed. Finally, organizational, systematic and planning models for ACECR were presented. To determine the level of maturity of enterprise architecture, a questionnaire was distributed and the significant effect of layers on each other were studied. The results showed that “access to information and data”, “business processes” and “information technology” have the highest positive impact on enterprise architecture maturity, respectively.
Three common sampling techniques in Pleistocene coral reefs of the Red Sea: a comparison
Authors: Ivkić Angelina , Puff Felix , Kroh Andreas , Mansour Abbas , Osman Mohamed , Hassan Mohamed , Ahmed Abo El Hagag , Zuschin Martin
Published: January 2023

Line Intercept Transects (LIT), Point Intercept Transects (PIT) and Photoquadrats (PQ) are the most common quantitative sampling techniques in modern and fossil coral reefs. Data from coral reefs obtained by the different methods are generally compared between various reef ages and localities. Quaternary reefs from warmer interglacial periods, which represent climate scenarios projected for the future, are particularly interesting for comparisons with modern reefs.

Importantly, fossil reefs differ from modern reefs because they are diagenetically altered and time-averaged. While several studies have compared different quantitative methods in modern reefs, very few have dealt with the comparability among fossil and between fossil and modern reefs. Here, we compare LIT, PIT at 10, 20 and 50 cm intervals and PQ in two Pleistocene reef localities in Egypt. We find that alpha diversity, reef cover and community composition are dependent on the method. Results gained with plotless methods (LIT, PIT) differ strongly from results gained with plot methods (PQ). However, coral cover results are similar with LIT and PIT, and community composition is indistinguishable between the two, but alpha diversity depends on the interval used for PIT.

We discuss the implications of our findings for comparing coral reefs of various ages and localities. We recommend surveying Pleistocene reefs with PIT at 20 cm intervals. This is because (1) alpha diversity is well captured, (2) the amount of time-averaging recorded by PIT is reduced compared to PQ, (3) the PIT results can be directly compared to reefs analysed by LIT and (4) the method is less time-consuming than LIT and PQ.
Experience: Differentiating Between Isolated and Sequence Missing Data
Authors: Tawakuli Amal , Kaiser Daniel , Engel Thomas
Published: January 2023

Missing data is one of the most persistent problems found in data that hinders information and value extraction. Handling missing data is a preprocessing task that has been extensively studied by the research community and remains an active research topic due to its impact and pervasiveness. Many surveys have been conducted to evaluate traditional and state-of-the-art techniques, however, the accuracy of missing data imputation techniques is evaluated without differentiating between isolated and sequence missing instances. In this article, we highlight the presence of both of these types of missing data at different percentages in real-world time-series datasets. We demonstrate that existing imputation techniques have different estimation accuracies for isolated and sequence missing instances. We then propose using a hybrid approach that differentiate between the two types of missing data to yield improved overall imputation accuracy.
Enhancing Conversational Recommendation Systems with Representation Fusion
Authors: Wang Yingxu , Chen Xiaoru , Fang Jinyuan , Meng Zaiqiao , Liang Shangsong
Published: January 2023

Conversational Recommendation Systems (CRSs) aim to improve recommendation performance by utilizing information from a conversation session. A CRS first constructs questions and then asks users for their feedback in each conversation session to refine better recommendation lists to users. The key design of CRS is to construct proper questions and obtain users’ feedback in response to these questions so as to effectively capture user preferences. Many CRS works have been proposed; however, they suffer from defects when constructing questions for users to answer: (1) employing a dialogue policy agent for constructing questions is one of the most common choices in CRS, but it needs to be trained with a huge corpus, and (2) it is not appropriate that constructing questions from a single policy (e.g., a CRS only selects attributes that the user has interacted with) for all users with different preferences. To address these defects, we propose a novel CRS model, namely a Representation Fusion–based Conversational Recommendation model, where the whole conversation session is divided into two subsessions (i.e., Local Question Search subsession and Global Question Search subsession) and two different question search methods are proposed to construct questions in the corresponding subsessions without employing policy agents. In particular, in the Local Question Search subsession we adopt a novel graph mining method to find questions, where the paths in the graph between users and attributes can eliminate irrelevant attributes; in the Global Question Search subsession we propose to initialize user preference on items with the user and all item historical rating records and construct questions based on user’s preference. Then, we update the embeddings independently over the two subsessions according to user’s feedback and fuse the final embeddings from the two subsessions for the recommendation. Experiments on three real-world recommendation datasets demonstrate that our proposed method outperforms five state-of-the-art baselines.
Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement
Authors: Li Qiming , Zhang Zhao , Zhuang Fuzhen , Xu Yongjun , Li Chao
Published: January 2023

Recently, recommender systems based on knowledge graphs (KGs) have become a popular research direction. Graph neural network (GNN) is the key technology of KG-based recommendation systems. However, existing GNNs have a significant flaw: They cannot explicitly model users’ intent in recommendations. Intent plays an essential role in users’ behaviors. For example, users may first generate an intent to purchase a certain group of items and then select a specific item from the group based on their preferences. Therefore, explicitly modeling intent has a positive significance for improving recommendation performance and providing explanations for recommendations. In this article, we propose a new model called Topic-aware Intention Network (TIN) for explainable recommendations with KGs. TIN models user representations from both preference and intent views. Specifically, we design a relational attention graph neural network to selectively aggregate information in KG to learn user preferences, and we propose a knowledge-enhanced topic model to learn user intent, which is viewed as topics hidden in user behavior sequences. Finally, we obtain the user representation by fusing user preference and intent through an attention network. The experimental results show that our proposed model outperforms the state-of-the-art methods and can generate reasonable explanations for the recommendation results.
BehaviorNet: A Fine-grained Behavior-aware Network for Dynamic Link Prediction
Authors: Liu Mingyi , Tu Zhiying , Su Tonghua , Wang Xianzhi , Xu Xiaofei , Wang Zhongjie
Published: January 2023

Dynamic link prediction has become a trending research subject because of its wide applications in the web, sociology, transportation, and bioinformatics. Currently, the prevailing approach for dynamic link prediction is based on graph neural networks, in which graph representation learning is the key to perform dynamic link prediction tasks. However, there are still great challenges because the structure of graphs evolves over time. A common approach is to represent a dynamic graph as a collection of discrete snapshots, in which information over a period is aggregated through summation or averaging. This way results in some fine-grained time-related information loss, which further leads to a certain degree of performance degradation. We conjecture that such fine-grained information is vital because it implies specific behavior patterns of nodes and edges in a snapshot. To verify this conjecture, we propose a novel fine-grained
behavior-aware network (BehaviorNet)
for dynamic network link prediction. Specifically, BehaviorNet adapts a transformer-based graph convolution network to capture the latent structural representations of nodes by adding edge behaviors as an additional attribute of edges. GRU is applied to learn the temporal features of given snapshots of a dynamic network by utilizing node behaviors as auxiliary information. Extensive experiments are conducted on several real-world dynamic graph datasets, and the results show significant performance gains for BehaviorNet over several
state-of-the-art (SOTA)
discrete dynamic link prediction baselines. Ablation study validates the effectiveness of modeling fine-grained edge and node behaviors.
Thermal Effects on the Performance of Stack-Scale Vanadium Redox Flow Batteries
Authors: Ren Jiayou , Wang Zhenyu , Liu Bin , Yue Qianli , Fan Xinzhuang , Zhao Tianshou
Published: January 2023

The operating temperature of vanadium redox flow batteries (VRFBs) affects their performance and reliability. However, previous studies focused on evaluating the effects on the performance of lab-scale single cells, in which electrolyte flow rates and current densities are different from those in stack-scale VRFBs, leading to the lack of guidance for the design of stacks. In this work, we investigate thermal effects on the performance of stack-scale VRFBs. It is found that as the operating temperature increases from 25 to 50 °C, the discharge capacity increases by 42%, whereas the energy efficiency increases by 10%, implying that the temperature has greater effects on the discharge capacity than that on the energy efficiency. Additionally, the enhancement effect of temperature on the energy efficiency is gradually weakened with increasing flow rate, while that on the discharge capacity is almost unchanged. Furthermore, the enhancement effect of temperature on energy efficiency increases with the operating current density. Notably, an optimum operating condition of the stack-scale VRFBs is identified with a critical flow rate (2.88 ml min−1 cm−2) at 40 °C to achieve a high system efficiency. This work provides guidance for the design of stack-scale VRFBs with high performance and safety.
Scenario-based learning: preliminary evaluation of the method in terms of students’ academic achievement, in-class engagement, and learner/teacher satisfaction
Authors: Mamakli Sümer , Alimoğlu Mustafa Kemal , Daloğlu Mustafa
Published: January 2023

A newly developed scenario-based learning (SBL) module was implemented assigning third-year medical students to create (highest cognitive level) a problem-based learning facilitator scenario studying in small groups with a facilitator. The 1-wk online SBL module was composed of three scheduled and an unlimited number of nonscheduled sessions. The students and facilitators positively received SBL with some recommendations for improvement. Preliminary evaluation suggests SBL can be implemented without compromising (maybe improving) students’ academic achievement, satisfaction, and engagement levels.
Investigating the roles of exercise intensity and biological sex on postexercise alterations in cardiac function
Authors: Coates Alexandra M. , Millar Philip J. , Burr Jamie F.
Published: January 2023

This investigation sought to determine the role of exercise intensity on the magnitude of exercise-induced cardiac fatigue using stress echocardiography to maintain loading conditions, with a secondary purpose of assessing sex differences. Unexpectedly, it was found that all cycling loads elicited the same magnitude of functional alteration, which likely represents a common response to exercise and stress echocardiography, rather than intrinsic cardiac impairment. Males demonstrated greater alterations than females, likely due to sex differences in postexercise hemodynamics.
An acute bout of prolonged sitting blunts popliteal endothelium-independent dilation in young, healthy adults
Authors: Liu Haoxuan , O’Brien Myles W. , Wu Yanlin , Bustamante Carolina M. , Kimmerly Derek S.
Published: January 2023

We demonstrate that lower-limb vascular smooth muscle function is attenuated in young, healthy adults after an acute bout of prolonged sitting. These data indicate that prolonged sitting-induced vascular dysfunction involves both endothelium-dependent and -independent mechanisms.
The Production of Industrial-Grade Oxygen from Air by Pressure Swing Adsorption
Authors: Chin Cynthia , Kamin Zykamilia , Bahrun Mohd Hardyianto Vai , Bono Awang
Published: January 2023

Oxygen, an odorless and colorless gas constituent of the atmosphere, is a vital gas component for the Earth, as it makes up 21% of the composition of the air we breathe. Apart from the importance of oxygen for human breathing, its highly pure form is demanding for industrial applications. As such, several technologies have been established to increase the oxygen purity from 21% to somewhat higher than 95%. One of the competitive technologies for producing this high-purity oxygen from the air is through pressure swing adsorption (PSA), which has the advantages of low cost and energy while being highly efficient. Also, PSA is a simple and flexible system due to its ability to start up and shut down more rapidly since its operation occurs at ambient temperature, which is enabled through the use of adsorbents to bind and separate the air molecules. The enhancement of the PSA’s performances was reported through the modification of PSA step cycles and material (zeolite) tailoring. A simplified complete set of a mathematical model is included for modelling the PSA system, aiming to ease the experimental burden of the process design and optimization of an infinite modification of PSA step cycles. Finally, some technological importance of oxygen production via PSA, particularly for onboard oxygen generation system and oxy-enriched incineration of municipal solid waste, was discussed. Continuous development of PSA will make significant contributions to a wide range of chemical industries in the near future, be it for oxygen production or other gas separation applications.
Identification of Adipogenesis Subgroups and Immune Infiltration Characteristics in Diabetic Peripheral Neuropathy
Authors: Lin Yumin , Qu Liyuan , Wu Jintao , Pu Meicen , Huang Yijuan , Cao Ying
Published: January 2023

Dysregulation of adipogenesis is related to diabetic peripheral neuropathy (DPN) pathogenesis, which may be mediated by immune infiltration. Nevertheless, the expression patterns of multiple adipogenesis-related genes and the differences of immune infiltration in different lipid metabolism levels remain unknown. GSE95849, a gene expression matrix containing DPN patients and healthy participants, was downloaded from Gene Expression Omnibus (GEO) database. Differentially expressed adipogenesis-related genes (DEARGs) were screened by overlapping the adipogenesis-related genes with differentially expressed genes (DEGs). DPN patients from GSE24290 and GSE148059 were divided into two adipogenesis subgroups according to the expression of DEARGs. The single-sample gene set enrichment analysis (ssGSEA) was used to estimate the abundance of the immune cells between two subgroups. The analysis of immune infiltration suggested that a variety of immune cells and immune processes were elevated in the high expression group of DEARGs. The differentially expressed genes of the two subgroups were mainly enriched in biological processes and signaling pathways related to lipid metabolism. PPARG, FABP4, LIPE, FASN, SCD, DGAT2, PNPLA2, ADIPOQ, LEP, and CEBPA were identified as the hub genes of the two subgroups, whose related transcription factors (TFs) and miRNAs were predicted. An immunohistochemical assay was used to verify the expression of hub genes in DPN nerve tissues. Our comprehensive analysis of adipogenesis subgroups in DPN illustrated that different expression patterns of DEARGs may lead to different immune and inflammatory states. The identification of DEARGs may help to further distinguish the different characteristics of DPN patients and lay the foundation for targeted treatment. Our findings may bring a novel perspective to the diagnosis and treatment of DPN patients.
Existence of a Generalized Solution for the Fractional Contact Problem
Authors: Ait kaki Leila , Arar Nouria , Abdo Mohammed S. , Albalwi M. Daher
Published: January 2023

In this paper, we take into consideration the mathematical analysis of time-dependent quasistatic processes involving the contact between a solid body and an extremely rigid structure, referred to as a foundation. It is assumed that the constitutive law is fractional long-memory viscoelastic. The contact is considered to be bilateral and is modeled around Tresca’s law. We establish the existence of the generalized solution’s result. The proof is supported by the surjectivity of the multivalued maximum monotone operator, Rothe’s semidiscretization method, and arguments for evolutionary variational inequality.
Improving the Neural Segmentation of Blurry Serial SEM Images by Blind Deblurring
Authors: Cheng Ao , Kang Kai , Zhu Zhanpeng , Zhang Ruobing , Wang Lirong
Published: January 2023

Serial scanning electron microscopy (sSEM) has recently been developed to reconstruct complex largescale neural connectomes, through learning‐based instance segmentation. However, blurry images are inevitable amid prolonged automated data acquisition due to imprecision in autofocusing and autostigmation, which impose a great challenge to accurate segmentation of the massive sSEM image data. Recently, learning‐based methods, such as adversarial learning and supervised learning, have been proven to be effective for blind EM image deblurring. However, in practice, these methods suffer from the limited training dataset and the underrepresentation of high‐resolution decoded features. Here, we propose a semisupervised learning guided progressive decoding network (SGPN) to exploit unlabeled blurry images for training and progressively enrich high‐resolution feature representation. The proposed method outperforms the latest deblurring models on real SEM images with much less ground truth input. The improvement of the PSNR and SSIM is 1.04 dB and 0.086, respectively. We then trained segmentation models with deblurred datasets and demonstrated significant improvement in segmentation accuracy. The A‐rand decreased by 0.119 and 0.026, respectively, for 2D and 3D segmentation.
A new species of planthopper in the genus Haplaxius (Hemiptera: Fulgoroidea: Cixiidae) from disturbed submontane rainforest in Jamaica
Authors: BAHDER BRIAN W. , MYRIE WAYNE , HELMICK ERICKA E. , BARTLETT CHARLES R.
Published: January 2023

Haplaxius is a large genus of cixiid planthopper found in the New World. The genus is of particular interest due to the ability of H. crudus to transmit the phytoplasmas for lethal decline in various palm species, primarily in the Caribbean and Florida, U.S.A. During recent vector survey work in Jamaica, a specimen was collected at Castleton Botanic Garden and determined to be a new species of Haplaxius. The novel taxon is herein described, Haplaxius fornicus sp. n., and corresponding DNA sequence data is provided for the barcoding region of the cytochrome c oxidase subunit I (COI) gene, 18S rRNA gene, and histone 3 (H3) gene. An updated phylogeny of the genus is provided with currently available taxa demonstrating additional support for the placement of H. fornicus sp. n. in Haplaxius.
Improved Infilling of Missing Metadata from Expendable Bathythermographs (XBTs) Using Multiple Machine Learning Methods
Authors: Haddad Stephen , Killick Rachel E. , Palmer Matthew D. , Webb Mark J. , Prudden Rachel , Capponi Francesco , Adams Samantha V.
Published: January 2023

Historical in situ ocean temperature profile measurements are important for a wide range of ocean and climate research activities. A large proportion of the profile observations have been recorded using expendable bathythermographs (XBTs), and required bias corrections for use in climate change studies. It is generally accepted that the bias, and therefore bias correction, depends on the type of XBT used. However, poor historical metadata collection practices mean the XBT probe type information is often missing, for 59% of profiles between 1967 and 2000, limiting the development of reliable bias corrections. We develop a process of estimating missing instrument type metadata (the combination of both model and manufacturer) systematically, constructing a machine learning pipeline based on thorough data exploration to inform these choices. The predicted instrument type, where missing, will facilitate improved XBT bias corrections. The new approach improves the accuracy of the XBT type classification compared to previous approaches from a recall value of 0.75–0.94. We also develop an approach to account for the uncertainty associated with metadata assignments using ensembles of decision trees, which could feed into an ensemble approach to creating ocean temperature datasets. We describe the challenges arising from the nature of the dataset in applying standard machine learning techniques to the problem. We have implemented this in a portable, reproducible way using standard data science tools, with a view to these techniques being applied to other similar problems in climate science.
Suicide among health professionals in Australia: A retrospective mortality study of trends over the last two decades
Authors: Petrie Katherine , Zeritis Stephanie , Phillips Matthew , Chen Nicola , Shand Fiona , Spittal Matthew J , Harvey Samuel B
Published: January 2023

Objective:

To examine the relative risk of suicide among healthcare professionals compared to other occupations and examine changes in suicide rates over time.

Methods:

Suicide cases were identified using the National Coronial Information System and were included if they were recorded as a death by intentional self-harm between 2001 and 2017 and were by an employed adult aged 20–69 with a known occupation at the time of death. Suicide methods were reported descriptively. Workforce data at the population level was extracted from the Australian Bureau of Statistics 2011 Census. Age-standardised suicide rates per 100,000 person-years for each of the four occupational groups were calculated using direct standardisation and using the Australian Bureau of Statistics population-level data from the 2011 Census. Negative binomial regression was used to estimate suicide risk by healthcare employment status and profession, to investigate differences by sex and to examine trends in suicide rates over time, using rate ratios and 95% confidence intervals.

Results:

Healthcare professionals were at increased risk of suicide compared to other occupations (rate ratio = 1.30, 95% confidence interval = [1.19, 1.42], p < 0.001), controlling for age, sex and year of death. Nurses and midwives were identified as being at significantly increased risk of suicide (rate ratio = 1.95, 95% confidence interval = [1.73, 2.19], p < 0.001). Suicide rates among female medical practitioners increased substantially over time ( p = 0.01).

Conclusion:

Health professionals are at significantly increased risk of suicide, though the relative risk of different groups is changing over time. There has been a substantial increase in the risk of suicide among female medical practitioners with rates of suicide in this group more than doubling over the last two decades. Findings highlight the need for targeted suicide prevention initiatives for healthcare professionals.
Deterioration mechanism of hydrothermal aging on the properties of carbon fiber/epoxy composites in various media
Authors: Fang Wu , Guo Wenjian
Published: January 2023

This study examined the hydrothermal aging mechanism of carbon fiber reinforced epoxy resin (CF/EP) composites in acidic, alkaline, salt solution, and deionized water (marked as Ac-CF/EP, Al-CF/EP, Sa-CF/EP, and De-CF/EP). The water absorption of carbon fiber reinforced epoxy resin composites followed a two-step process for all four aging mediums, including an initial Fickian diffusion and a subsequent long-term deterioration response. The carbon fiber reinforced epoxy resin composites were degraded more easily in a weak acidic solution due to the degradation of secondary amines and ether bond in an EP molecular chain, which was even degraded into methyl, ethyl, isopropyl, and bisphenol-A monomers. Long-term hydrothermal aging led to significant degradation of the CF/EP composites in all four mediums, the shear strength of the aged composites from small to large was Ac-CF/EP < Al-CF/EP < De-CF/EP < Sa-CF/EP < raw carbon fiber reinforced epoxy resin, which reduced the bending strength by 38.1%, 31.0%, 20.9%, and 11.5%, respectively, compared to the raw carbon fiber reinforced epoxy resin composites. The degradation of the EP matrix and irreversible interface damage caused by hydrothermal aging were considered the main reasons for the degraded mechanical properties of the carbon fiber reinforced epoxy resin composites. It is strongly recommended to apply a protective film on the surface of carbon fiber reinforced epoxy resin composites to reduce the possibility of interaction with humid air.
Asphyxiophilic death due to masochistic behaviour in a video game addict teen: A case report and reviews
Authors: Singh Bajrang K , Maurya Pawan K , Baveja Vishal S , Tomar Jitendra S , Chauhan Mohit
Published: January 2023

The disorder of internet gaming is increasingly being blamed on major psychological problems affecting youth. Action video games are enjoyable for masochists. Video game chores that practise bondage and other acts that cause pain and anoxia may be masochistic in nature in order to promote player satisfaction. Asphyxia will result in pleasure in asphyxiophilia, a dangerous and occasionally lethal form of sexual masochism. Constriction of the neck with ligature materials is a frequent method of causing hypoxia. The subject of this case study was a compulsive player of online video games. During the masochistic act, along with a recording of it, he unintentionally died. Given that he was naked, had a ligature around his neck, had his wrists and legs bound, and had two fabric-holding clamps on his scrotum, asphyxiophilia was determined to be the cause of his death. At the scene of death, neither pornographic materials nor proof of frequent use of this kind of behaviour were discovered. Along with recording, the subject's cell phone's flash was on to help with the dim lighting and he may have been videotaping these masochistic acts as part of a videogame task. The results of the autopsy, circumstantial evidence, police inquiry and witness accounts all support accidental death.
An improved procedure for calculating the pore size distribution of filter cloths in capillary flow porometry
Authors: Ängeslevä Marina , Salmimies Riina , Häkkinen Antti
Published: January 2023

Pore size distribution is one of the most important structural characteristics of filter cloths and can, in theory, be used to predict filtration performance. Capillary flow porometry is a common method to determine the pore diameter(s) and the pore size distribution of a porous material. Equipment applying this method has many advantages, but data processing and further calculations still require refining to be fit for purpose in calculations of flow capacity. The present study aims to develop a new procedure for processing volumetric flow rate data and corresponding pressure, which are measured by capillary flow porometry. The processed data are further used to calculate the pore size distribution of textile materials. Six industrial samples of polypropylene filter cloth were examined using scanning electron microscopy and capillary flow porometry. The raw data measured by the capillary flow porometer were processed using the developed method that considers changes in flow regimes as pressure increases. In addition, the nonideality of pores, originating from tortuosity, an irregular cross-sectional shape of the pore, and the number of pores, were considered in calculations by combining all these characteristics in one single parameter. This work shows that pores in a textile material are not ideal cylinders. The standard pore size distribution calculations should consider an imperfect pore structure and, therefore, be corrected.
European dystopias/utopias in Ayaan Hirsi Ali’s Submission: Part I (2004) and Michel Houellebecq’s Submission (2015)
Authors: Rotaru Arina
Published: January 2023

This comparative analysis examines two instances of dystopian/utopian narratives and media – the film and script Submission: Part I (2004) by the Dutch-Somalian but naturalized American author Ayaan Hirsi Ali and the novel Submission (2015) by the French author Michel Houellebecq. These two works challenge the project of Europe as a bastion of liberal ideals and its various markers, including laïcité, universalism and human rights, through narratives informed by cultural pessimism and religious and racial dystopia. Fantasies of race, ethnicity and empire pervade the fictional Islamistan in Submission I as well as Houellebecq’s narrative exploring the conversion of French society to Islam. Whereas Submission: Part I has been hailed for addressing Muslim abuse and Houellebecq’s novel has been cited often as a trigger of Islamophobia, I argue that both works merit new interpretations when read in relation to historical fears of ethnic and religious Muslim Others in postcolonial presents: Submission: Part I as contributing to the Islamic problem it supposedly addressed, with Houellebecq offering a nuanced and sympathetic understanding of the Muslim ‘Other’ that acknowledges the significance of Arab/Muslim France to the French Republic.
Do Bandwagon Cues Affect Credibility Perceptions? A Meta-Analysis of the Experimental Evidence
Authors: Wang Sai , Chu Tsz Hang , Huang Guanxiong
Published: January 2023

Bandwagon cues are system-aggregated information about crowd behavior or peer endorsement displayed on a web interface (e.g., the number of likes on a Facebook post). Despite the recent proliferation of research on the effect of bandwagon cues on credibility perceptions, a comprehensive meta-analytic review of this effect has not yet been performed and published. Based on 161 effect sizes from 41 studies, the current meta-analysis revealed that bandwagon cues had a positive, albeit small, effect on credibility perceptions. Moderator analyses indicated that this effect was stronger (a) when the message was related to the marketing topic, (b) when the source was a non-expert (vs. an expert), and (c) when participants were from collectivistic (vs. individualistic) cultures. However, the bandwagon effect did not vary by cue feature (e.g., deliberateness). These findings are discussed in light of theoretical implications, practical guidelines, and directions for future research.
Timon and Melancholia
Authors: Jowett John
Published: January 2023

Timon of Athens shows Timon as extravagantly generous and sociable in the first half of the play and misanthropic in the second, in which his desire for catastrophe is potentially enacted by Alcibiades’ planned assault on Athens. This article finds a parallel in Lars von Trier's 2011 film Melancholia, which is formally divided into two parts, the first showing the depressive Justine's wedding and the second the approach of the planet Melancholia on its collision course with the Earth. The comparison illuminates the interface between psychological and physical disasters in Timon.
Determinants of Intended Return Migration among Refugees: A Comparison of Syrian Refugees in Germany and Turkey
Authors: Al Husein Nawras , Wagner Natascha
Published: January 2023

Little is known about whether Syrian refugees intend to return to their origin-country and what affects their return migration intentions. We introduce a theoretical framework for voluntary return, identify the refugees’ decision-making context, and empirically assess the model with a sample of 577 Syrian refugees living in Germany and Turkey in 2018. Three return scenarios were presented in the survey: (i) returning to Syria within two years, (ii) returning when Syria is as safe as before the civil war, and (iii) ever returning. The three scenarios were conceived very differently by the refugees, highlighting the dynamic nature and context dependency of the concept of voluntary return. Syrian refugees in Turkey were more likely to regard their stay as temporary (76 percent), compared to those in Germany (55 percent, p-value of difference = .000). Similarly, structural factors of the origin- and host-countries, that is, the origin-governorate and the current location, were considerably influencing return intentions. Concerning individual factors, female and highly educated refugees had a lower willingness to return. Those who were married were less inclined to return in the short run, yet refugees who self-identified as poor indicated their desired return in the long run. We also analyzed whether random exposure to information regarding return impacted refugees’ intentions. We found a negative, albeit insignificant, impact of information, suggesting that host governments cannot expect (rapid) information dissemination to impact refugees’ decision-making about voluntary return. Our findings underscore that neither proximate nor distant host-countries should bank on the speedy return of the Syrian refugees.
Small-animal PET study for noninvasive quantification of transmembrane AMPA receptor regulatory protein γ-8 (TARP γ-8) in the brain
Authors: Yamasaki Tomoteru , Ishii Hideki , Hiraishi Atsuto , Kumata Katsushi , Wakizaka Hidekatsu , Zhang Yiding , Kurihara Yusuke , Ogawa Masanao , Nengaki Nobuki , Chen Jiahui , Li Yinlong , Liang Steven , Zhang Ming-Rong
Published: January 2023

Transmembrane AMPA receptor regulatory protein γ-8 (TARP γ-8) mediates various AMPA receptor functions. Recently, [11C]TARP-2105 was developed as a PET ligand for TARP γ-8 imaging. We performed a full kinetic analysis of [11C]TARP-2105 using PET with [11C]TARP-2105 for the first time. The distribution volume ( VT), which is a macro parameter consisting of the K1– k4 rate constants in the two-tissue compartment model analysis, exhibited the following rank order: hippocampus (1.4 ± 0.3) > amygdala (1.0 ± 0.2) > frontal cortex (0.9 ± 0.2) > striatum (0.8 ± 0.2) ≫ cerebellum (0.5 ± 0.1) ≈ thalamus (0.5 ± 0.1) > pons (0.4 ± 0.1 mL/cm3). These heterogenous VT values corresponded with the order of biological distribution of TARP γ-8 in the brain. To validate the reference tissue model, the binding potential (BPND) of [11C]TARP-2105 for TARP γ-8 was estimated using general methods (SRTM, MRTM0, Logan reference model, and ratio method). These BPNDs based on reference models indicated excellent correlation (R2 > 0.9) to the indirect BPNDs based on 2TCM with moderate reproducibility (%variability ≈ 10). PET with [11C]TARP-2105 enabled noninvasive BPND estimation and visual mapping of TARP γ-8 in the living rat brain.