bluuebunny/crossref_metadata_2025 huggingface dataset:
Statins Effects on Blood Clotting: A Review
Authors: Siniscalchi Carmine , Basaglia Manuela , Riva Michele , Meschi Michele , Meschi Tiziana , Castaldo Giampiero , Di Micco Pierpaolo
Published: November 2023

Statins are powerful lipid-lowering drugs that inhibit cholesterol biosynthesis via downregulation of hydroxymethylglutaryl coenzyme-A reductase, which are largely used in patients with or at risk of cardiovascular disease. Available data on thromboembolic disease include primary and secondary prevention as well as bleeding and mortality rates in statin users during anticoagulation for VTE. Experimental studies indicate that statins alter blood clotting at various levels. Statins produce anticoagulant effects via downregulation of tissue factor expression and enhanced endothelial thrombomodulin expression resulting in reduced thrombin generation. Statins impair fibrinogen cleavage and reduce thrombin generation. A reduction of factor V and factor XIII activation has been observed in patients treated with statins. It is postulated that the mechanisms involved are downregulation of factor V and activated factor V, modulation of the protein C pathway and alteration of the tissue factor pathway inhibitor. Clinical and experimental studies have shown that statins exert antiplatelet effects through early and delayed inhibition of platelet activation, adhesion and aggregation. It has been postulated that statin-induced anticoagulant effects can explain, at least partially, a reduction in primary and secondary VTE and death. Evidence supporting the use of statins for prevention of arterial thrombosis-related cardiovascular events is robust, but their role in VTE remains to be further elucidated. In this review, we present biological evidence and experimental data supporting the ability of statins to directly interfere with the clotting system.
The Role of Glutathione and Sulfhydryl Groups in Cadmium Uptake by Cultures of the Rainbow Trout RTG-2 Cell Line
Authors: Lange Anke , Segner Helmut
Published: November 2023

The aim of this study is to investigate the role of cellular sulfhydryl and glutathione (GSH) status in cellular cadmium (Cd) accumulation using cultures of the rainbow trout cell line RTG-2. In a first set of experiments, the time course of Cd accumulation in RTG-2 cells exposed to a non-cytotoxic CdCl2 concentration (25 μM) was determined, as were the associated changes in the cellular sulfhydryl status. The cellular levels of total GSH, oxidized glutathione (GSSG), and cysteine were determined with fluorometric high-performance liquid chromatography (HPLC), and the intracellular Cd concentrations were determined with inductively coupled plasma mass spectrometry (ICP-MS). The Cd uptake during the first 24 h of exposure was linear before it approached a plateau at 48 h. The metal accumulation did not cause an alteration in cellular GSH, GSSG, or cysteine levels. In a second set of experiments, we examined whether the cellular sulfhydryl status modulates Cd accumulation. To this end, the following approaches were used: (a) untreated RTG-2 cells as controls, and (b) RTG-2 cells that were either depleted of GSH through pre-exposure to 1 mM L-buthionine-SR-sulfoximine (BSO), an inhibitor of glutathione synthesis, or the cellular sulfhydryl groups were blocked through treatment with 2.5 μM N-ethylmaleimide (NEM). Compared to the control cells, the cells depleted of intracellular GSH showed a 25% reduction in Cd accumulation. Likewise, the Cd accumulation was reduced by 25% in the RTG-2 cells with blocked sulfhydryl groups. However, the 25% decrease in cellular Cd accumulation in the sulfhydryl-manipulated cells was statistically not significantly different from the Cd accumulation in the control cells. The findings of this study suggest that the intracellular sulfhydryl and GSH status, in contrast to their importance for Cd toxicodynamics, is of limited importance for the toxicokinetics of Cd in fish cells.
Physicians’ Self-Perceived Competence on Breaking Bad News to Parents of Children with Neurodisabilities
Authors: Fiorellino Ophélie , Newman Christopher John
Published: November 2023

Delivering difficult news to parents of children with neurodisabilities, often involving new diagnoses, prognosis changes, or declines in function or health, presents a complex task. Our aim was to assess physicians’ self-perceived competence in breaking bad news (BBN) within this context. An online survey was administered to neuropediatricians and developmental and rehabilitation pediatricians in Switzerland. Among 247 invited physicians, 62 (25.1%) responded (age of 51 ± 11 years; M/F ratio of 2:3). They rated their BBN competence at 7.5 ± 1.6 out of 10. Factors significantly associated with self-perceived competence in uni- and multivariate analyses included years of professional experience (≤10 years: 6.2 ± 1.8; >10 years: 8.2 ± 0.8), and region of pregraduate training (Switzerland: 7.3 ± 1.6; European Union: 8.3 ± 0.9). The respondents highlighted the positive roles of professional and personal experience, quality relationships with families, and empathy in BBN. In summary, physicians generally expressed a sense of competence in delivering difficult news to parents of children with neurodisabilities. They underscored the significance of life experiences and certain individual qualities in their effectiveness. These findings provide valuable insights into enhancing professional training and support in this crucial yet underexplored aspect of medical practice.
Properties of Superhydrophobic and Acid–Alkali-Resistant Polyester Fabric Produced Using Plasma Processing
Authors: Zhao Bing , Xu Liyun , Lin Panpan , Zhang Hua , He Xiangyu , Ji Tao , Zhang Yu
Published: November 2023

During the processes of production, storage, transportation and use of hazardous chemicals, acid–alkali corrosive liquid spatter and leakage would cause serious casualties. In order to protect the lives and health of staff, the surface of fabrics should be treated to obtain hydrophobicity and acid–alkali resistance. In this paper, polyester fabric was used as the base cloth, and polydimethylsiloxane (PDMS) and polytetrafluoroethylene (PTFE) micro-powder were used as the functional materials to fabricate waterproof and breathable fabric with good acid–alkali resistance using a method of plasma pretreatment-impregnation- and plasma-induced crosslinking. The effects of PDMS, PTFE powder and plasma-induced crosslinking on the surface and physical and chemical properties of fabric were investigated. It was found that the use of PDMS and PTFE powder had little effect on the mechanical and wearing comfort properties. However, it could significantly improve the acid–alkali resistance, as the liquid repellent rate of the treated fabric surface was higher than 80%, and the penetration index was lower than 2%.
Hair Pores Caused by Surfactants via the Cell Membrane Complex and a Prevention Strategy through the Use of Cuticle Sealing
Authors: Song Sang-Hun , Park Hyun-Sub , Jeon Juhyun , Son Seong Kil , Kang Nae-Gyu
Published: November 2023

In this study, we discovered that washing hair with surfactants causes a decrease in the internal density of hair, and we propose a cuticle-sealing strategy to inhibit this phenomenon. This phenomenon was revealed based on optical analyses such as optical microscopy, scanning electron microscopy (SEM), drop shape analysis, atomic force microscopy (AFM), and single hair analysis. Repeated treatment with surfactants creates areas of low density within the hair. Additionally, treatment with low-molecular-weight materials resulted in replenishment of the internal density of the hair. It has been shown that the more severe the degree of cuticle lifting, the more the internal density of the hair is reduced by surfactants. In addition, the study confirmed that a decrease in internal density could be prevented by sealing the cell membrane complex (CMC), and it was suggested that this reduced internal density may reflect the pore structure of hair. This study investigates the mass transfer phenomenon that occurs in hair and proposes a strategy to maintain hair homeostasis.
The Relationship between Polishing Method and ISE Effect
Authors: Petrík Jozef , Blaško Peter , Draganovská Dagmar , Kusmierczak Sylvia , Šolc Marek , Ťavodová Miroslava , Mihaliková Mária
Published: November 2023

The aim of the submitted work is to study the relationship between the method of polishing the metallurgical surface and the indentation size effect (ISE). The material of the sample was annealed 99.5% aluminum. The polishing time ranged between 300 and 3600 s. An aqueous emulsion of aluminum oxide (spineline) and diamond paste were used as the polishing agents. The surface quality of the samples was measured with roughness meters. Applied loads in the micro-hardness test were 0.0981, 0.2452, 0.4904, and 0.9807 N. The effect of polishing on micro-hardness, Meyer’s index n, and ISE characteristics was evaluated using the PSR method and the Hays–Kendall approach. As the polishing time increases, the micro-hardness values decrease, and the value of Meyer’s index n increases from “normal” to neutral, i.e., Kick’s law applies. The finding was confirmed for both of the used polishing agents.
Thermal Field Design of a Large-Sized SiC Using the Resistance Heating PVT Method via Simulations
Authors: Zhang Shengtao , Li Tie , Li Zhongxue , Sui Jiehe , Zhao Lili , Chen Guanying
Published: November 2023

As the size of SiC crystals gradually increase, it becomes increasingly difficult to control the temperature distribution inside the crucible. In this study, numerical simulation tools were used to model the thermal field of SiC single crystal growth using the resistance heating PVT method. Through adjusting the relative position of the heater, adjusting the crucible and insulation structure, and setting up dual heaters, the temperature field distribution patterns under different conditions were obtained. The research results indicate that adjusting the relative positions of the heater, the crucible and insulation structure can achieve uniform temperature conditions under specific conditions. The use of dual heaters can achieve ideal crystal growth conditions with a growth interface temperature difference of less than 10 K, and an axial temperature gradient magnitude of about 10 K/cm, with a smaller edge axial temperature gradient, which is helpful to avoid edge polycrystalline formation and improve crystal quality. Meanwhile, combined with the top insulation layer, more energy-saving effects can be achieved, providing a reference for the preparation of large-sized SiC crystals.
Limnonema gen. nov. (Aerosakkonemataceae, Cyanobacteria): Two Novel Species from Republic of Korea Characterized by Morphological and Molecular Analyses
Authors: Song Ji-Ho , Kim So-Won , Lee Nam-Ju , Kim Do-Hyun , Wang Hye-Ryeung , Lee Ok-Min
Published: November 2023

In this study, 18 strains of cyanobacteria were isolated from seven sites, including the Han River and Anseong Stream in Republic of Korea, and we propose these isolated strains as Limnonema gen. nov., belonging to the Aerosakkonemataceae family of the Oscillatoriales order, and also, as L. hangangris sp. nov. and L. anseonga sp. nov. These strains were identified based on morphological data using a light microscope and a transmission electron microscope, and molecular data using 16S rRNA and 16S–23S ITS gene sequences. The genus Limnonema was mainly collected as planktons, and some L. hangangris (ACKU-695–697) appeared as epilithic cyanobacteria. The genus Limnonema showed filamentous trichomes, intracellular gas vacuoles, and irregular thylakoids arrangement, which was distinct from genera Cephalothrix, Microseira, and Potamosiphon belonging to the family Aerosakkonemataceae. Moreover, the cell widths of genus Limnonema were narrower than those of genus Aerosakkonema, which is the type genus of the family Aerosakkonemataceae, and L. anseonga contained more cells with wider widths than those of L. hangangris. In the 16S rRNA gene sequence phylogeny, genus Limnonema belonged to the family Aerosakkonemataceae and was distinguished from its close relatives, genera Aerosakkonema and Cephalothrix, and L. hangangris and L. anseonga formed different branches. In 16S rRNA gene sequence similarity, genus Limnonema showed 95.4–95.9% and 93.6–94.4% similarity with genera Aerosakkonema and Cephalothrix, respectively, and L. hangangris and L. anseonga showed 97.6–97.7% similarity between each other. In the 16S–23S ITS secondary structure, the D1–D1′, Box-B, and V3 helices of genus Limnonema were distinguished from genera belonging to the family Aerosakkonemataceae, and the V3 helices of L. hangangris and L. anseonga were also different from each other.
Lipid Profile Paradox: Investigating Improved Lipid Levels in Diabetic Mellitus Patients with Foot Ulcer Infections—A Prospective Descriptive Study
Authors: Ardelean Andrei , Neamtu Andreea-Adriana , Balta Diana-Federica , Neamtu Carmen , Goldis Dan , Rosu Mihai , Nesiu Alexandru , Moldovan Silviu , Tarta Cristi , Totolici Bogdan Dan
Published: November 2023

Type 2 diabetes mellitus (DM) is a chronic metabolic disorder posing multifaceted challenges to global public health. Among its numerous complications, infected diabetic foot ulcers (IDFUs) represent a particularly debilitating consequence. Beyond cardiovascular implications, there is an emerging understanding of the interconnectedness among IDFUs, neuropathy, atherosclerosis, and dyslipidemia. IDFUs, peripheral neuropathy, and atherosclerosis share common risk factors and mechanistic pathways. The primary objective of this study was to characterize the lipid profiles in DM patients with IDFUs, comparing them with DM patients without foot ulcers, and with a control group of healthy subjects. The secondary objectives included evaluating apolipoprotein E (ApoE) levels across these study groups and comparing lipid profiles within IDFU subgroups. A total of 160 patients were assessed for this study. After applying exclusion criteria, 140 participants were included, divided into three groups: Group IDFU (80 patients with IDFUs), Group DM (32 patients with DM but no foot ulcers), and Group Controls (28 healthy controls). Compared to Group DM, Group IDFU demonstrated lower levels of high-density lipoprotein cholesterol (HDL-C) (30.9 ± 12.6 mg/dL vs. 40.8 ± 16.6 mg/dL, p = 0.002), but improved levels of ApoE (160.9 ± 68.4 mg/dL vs. 197.2 ± 69.6 mg/dL, p = 0.01), triglycerides (TG) (126.9 ± 56.2 mg/dL vs. 165.8 ± 79.0 mg/dL, p = 0.004), low-density lipoprotein cholesterol (LDL-C) (84.2 ± 32.3 mg/dL vs. 92.3 ± 39.3 mg/dL, p = 0.1), and total cholesterol (133.6 ± 43 mg/dL vs. 164.6 ± 44.4 mg/dL, p = 0.002). The IDFU patients exhibit improved lipid profiles, excepting HDL-C, which is unusual because IDFU follows complications related to dyslipidemia for DM patients. Anemia, impaired renal function, and elevated TG levels were identified as biomarkers for mortality among patients with IDFUs. The data suggest that a lower level of HDL-C and an improved lipid profile may indicate a systemic end-stage disease manifestation in DM patients with IDFUs.
Gender Determination Based on CBCT Maxillary Sinus Analysis: A Systematic Review
Authors: Christoloukas Nikolas , Mitsea Anastasia , Rontogianni Aliki , Angelopoulos Christos
Published: November 2023

Gender determination is an essential element for human identification in forensic medicine, to which the maxillary sinuses may contribute as they remain intact even after severe damage to the skull and other structures. Aim: To evaluate scientific evidence published over the last decade to determine whether maxillary sinus dimensions and volume may constitute useful parameters for forensic identification and gender determination, based only on cone-beam computed tomography images (CBCT). Methods: This review adhered to the PRISMA statement’s criteria. Four databases were searched for articles published between January 2010 and April 2023. Results: Initially, 1719 records were identified. After screening, there were 2475 participants in the included studies. Of the fifteen articles selected, five reported data assessing only volumetric measurements of the maxillary sinus, seven reported data calculating only linear measurements and three reported data by combining findings of both linear and volumetric measurements of the maxillary sinus. Maxillary sinus volume was significantly higher in male participants. Maxillary sinus height was the best discriminating parameter for forensic identification with an overall accuracy ranging from 70% to 80%. Conclusions: Maxillary sinus measurements revealed anatomic variability between genders, and this approach can be applied as a complementary method for human identification.
Development of Automated Risk Stratification for Sporadic Odontogenic Keratocyst Whole Slide Images with an Attention-Based Image Sequence Analyzer
Authors: Mohanty Samahit , Shivanna Divya B. , Rao Roopa S. , Astekar Madhusudan , Chandrashekar Chetana , Radhakrishnan Raghu , Sanjeevareddygari Shylaja , Kotrashetti Vijayalakshmi , Kumar Prashant
Published: November 2023

(1) Background: The categorization of recurrent and non-recurrent odontogenic keratocyst is complex and challenging for both clinicians and pathologists. What sets this cyst apart is its aggressive nature and high likelihood of recurrence. Despite identifying various predictive clinical/radiological/histopathological parameters, clinicians still face difficulties in therapeutic management due to its inherent aggressive nature. This research aims to build a pipeline system that accurately detects recurring and non-recurring OKC. (2) Objective: To automate the risk stratification of OKCs as recurring or non-recurring based on whole slide images (WSIs) using an attention-based image sequence analyzer (ABISA). (3) Materials and methods: The presented architecture combines transformer-based self-attention mechanisms with sequential modeling using LSTM (long short-term memory) to predict the class label. This architecture leverages self-attention to capture spatial dependencies in image patches and LSTM to capture sequential dependencies across patches or frames, making it suitable for this image analysis. These two powerful combinations were integrated and applied on a custom dataset of 48 labeled WSIs (508 tiled images) generated from the highest zoom level WSI. (4) Results: The proposed ABISA algorithm attained 0.98, 1.0, and 0.98 testing accuracy, recall, and area under the curve, respectively, whereas VGG16, VGG19, and Inception V3, standard vision transformer attained testing accuracies of 0.80, 0.73, 0.82, 0.91, respectively. ABISA used 58% fewer trainable parameters than the standard vision transformer. (5) Conclusions: The proposed novel ABISA algorithm was integrated into a risk stratification pipeline to automate the detection of recurring OKC significantly faster, thus allowing the pathologist to define risk stratification faster.
A Potential Intracanal Medicament, 2-Hydroxyisocaproic Acid (HICA): Cytotoxicity, Genotoxicity, and Its Effect on SCAP Differentiation
Authors: Smoczer Cristine , Park Yun K. , Herrington James B. , Askar Mazin A. , Plecha Sarah , Krukonis Eric , Paurazas Susan B.
Published: November 2023

Intracanal medicaments with maximal antimicrobial efficacy and minimal damage to resident stem cells are essential for successful regenerative endodontic procedures. 2-Hydroxyisocaproic acid (HICA) could have the attributes of a potential intracanal medicament. This study evaluates its cytotoxicity, genotoxicity, and effects on the odontogenic and osteogenic differentiation of the stem cells of the apical papilla (SCAP). Cytotoxicity and cell viability assays were performed on cells treated for 24, 48, and 72 h with varying concentrations of HICA and compared to the standard intracanal medicament, calcium hydroxide. The genotoxicity was assessed via immunofluorescence for two markers of DNA double-strand breaks: phosphorylated γH2AX and 53BP1. The SCAP differentiation was evaluated based on the alkaline phosphatase activity, Alizarin Red staining, and expression of odontogenic and osteogenic genes (DSPP1, BSP1, OCN, RUNX2) in the presence of selected HICA concentrations. HICA was not cytotoxic at concentrations up to 10 mg/mL, regardless of the exposure time, although it was cytostatic at all tested concentrations. HICA was not genotoxic at concentrations below 5 mg/mL. No difference in cytotoxicity or genotoxicity was found between HICA and calcium hydroxide at 1 mg/mL. HICA retained about 70% of the osteogenic differentiation potential at 1 mg/mL. Within the limitations of this in vitro study, we show that HICA at 1 mg/mL could be a potential intracanal medicament for REPs.
A Multidimensional–Multilevel Approach to Literacy-Related Parental Involvement and Its Effects on Preschool Children’s Literacy Competences: A Sociopedagogical Perspective
Authors: Penderi Efthymia , Karousou Alexandra , Papanastasatou Irini
Published: November 2023

From a sociopedagogical perspective, literacy development in preschool is conceptualized as a social phenomenon. Sociopedagogical models emphasize the connection between family and school processes to foster children’s literacy competences and parental involvement. Although contemporary models regarding parental involvement reflect its multidimensional and multilevel nature, research focusing on early literacy mainly addresses certain parenting practices, especially at home, and their association with a few literacy skills. Based on Bronfenbrenner’s bioecosystemic theory, Epstein’s model of overlapping spheres of influence and the typology of parental involvement as well as Rohde’s Comprehensive Emergent Literacy Model, the present study investigates how different dimensions and components of parental involvement interact to affect young children’s literacy competences. We investigate the complex relationships among all dimensions of parental involvement and their association with children’s literacy outcomes. Additionally, we explore the role of several contextual factors (children’s age, parental education, urbanity, number of children’s books) in these associations. Parents of 214 typically developing children aged 4–6 years filled in four parent-report scales developed and validated for measuring the different dimensions of parental involvement and children’s literacy competences. Results illustrate how multilevel parental practices mediate the effect of literacy-related parental perceptions and family–school relationships on children’s literacy competences. Among the contextual factors, only maternal education was found to have a robust, albeit indirect, effect on literacy outcomes. Implications about the school’s role and strategic planning in promoting literacy-focused parental involvement are discussed.
Innovative Cucumber Phenotyping: A Smartphone-Based and Data-Labeling-Free Model
Authors: Nguyen Le Quan , Shin Jihye , Ryu Sanghuyn , Dang L. Minh , Park Han Yong , Lee O New , Moon Hyeonjoon
Published: November 2023

Sustaining global food security amid a growing world population demands advanced breeding methods. Phenotyping, which observes and measures physical traits, is a vital component of agricultural research. However, its labor-intensive nature has long hindered progress. In response, we present an efficient phenotyping platform tailored specifically for cucumbers, harnessing smartphone cameras for both cost-effectiveness and accessibility. We employ state-of-the-art computer vision models for zero-shot cucumber phenotyping and introduce a B-spline curve as a medial axis to enhance measurement accuracy. Our proposed method excels in predicting sample lengths, achieving an impressive mean absolute percentage error (MAPE) of 2.20%, without the need for extensive data labeling or model training.
Comparative Performance Analysis of RNN Techniques for Predicting Concatenated Normal and Abnormal Vibrations
Authors: Lee Ju-Hyung , Hong Jun-Ki
Published: November 2023

We analyze the comparative performance of predicting the transition from normal to abnormal vibration states, simulating the motor’s condition before a drone crash, by proposing a concatenated vibration prediction model (CVPM) based on recurrent neural network (RNN) techniques. Subsequently, using the proposed CVPM, the prediction performances of six RNN techniques: long short-term memory (LSTM), attention-LSTM (Attn.-LSTM), bidirectional-LSTM (Bi-LSTM), gate recurrent unit (GRU), attention-GRU (Attn.-GRU), and bidirectional-GRU (Bi-GRU), are analyzed comparatively. In order to assess the prediction accuracy of these RNN techniques in predicting concatenated vibrations, both normal and abnormal vibration data are collected from the motors connected to the drone’s propellers. Consequently, a concatenated vibration dataset is generated by combining 50% of normal vibration data with 50% of abnormal vibration data. This dataset is then used to compare and analyze vibration prediction performance and simulation runtime across the six RNN techniques. The goal of this analysis is to comparatively analyze the performances of the six RNN techniques for vibration prediction. According to the simulation results, it is observed that Attn.-LSTM and Attn.-GRU, incorporating the attention mechanism technique to focus on information highly relevant to the prediction target through unidirectional learning, demonstrate the most promising predictive performance among the six RNN techniques. This implies that employing the attention mechanism enhances the concentration of relevant information, resulting in superior predictive accuracy compared to the other RNN techniques.
Genetic Algorithm for High-Dimensional Emotion Recognition from Speech Signals
Authors: Yue Liya , Hu Pei , Chu Shu-Chuan , Pan Jeng-Shyang
Published: November 2023

Feature selection plays a crucial role in establishing an effective speech emotion recognition system. To improve recognition accuracy, people always extract as many features as possible from speech signals. However, this may reduce efficiency. We propose a hybrid filter–wrapper feature selection based on a genetic algorithm specifically designed for high-dimensional (HGA) speech emotion recognition. The algorithm first utilizes Fisher Score and information gain to comprehensively rank acoustic features, and then these features are assigned probabilities for inclusion in subsequent operations according to their ranking. HGA improves population diversity and local search ability by modifying the initial population generation method of genetic algorithm (GA) and introducing adaptive crossover and a new mutation strategy. The proposed algorithm clearly reduces the number of selected features in four common English speech emotion datasets. It is confirmed by K-nearest neighbor and random forest classifiers that it is superior to state-of-the-art algorithms in accuracy, precision, recall, and F1-Score.
Assessment of a Functional Electromagnetic Compatibility Analysis of Near-Body Medical Devices Subject to Electromagnetic Field Perturbation
Authors: Razek Adel
Published: November 2023

This article aims to assess, discuss and analyze the disturbances caused by electromagnetic field (EMF) noise of medical devices used near living tissues, as well as the corresponding functional control via the electromagnetic compatibility (EMC) of these devices. These are minimally invasive and non-ionizing devices allowing various healthcare actions involving monitoring, assistance, diagnoses and image-guided medical interventions. Following an introduction of the main items of the paper, the different imaging methodologies are conferred, accounting for their nature, functioning, employment condition and patient comfort and safety. Then the magnetic resonance imaging (MRI) components and their fields, the consequential MRI-compatibility concept and possible image artifacts are detailed and analyzed. Next, the MRI-assisted robotic treatments, the possible robotic external matter introductions in the MRI scaffold, the features of MRI-compatible materials and the conformity control of such compatibility are analyzed and conferred. Afterward, the embedded, wearable and detachable medical devices, their EMF perturbation control and their necessary protection via shielding technologies are presented and analyzed. Then, the EMC control procedure, the EMF governing equations and the body numerical virtual models are conferred and reviewed. A qualitative methodology, case study and simple example illustrating the mentioned methodology are presented. The last section of the paper discusses potential details and expansions of the different notions conferred in the paper, in the perspective of monitoring the disturbances due to EMF noise of medical devices working near living tissues. This contribution highlights the possibility of the proper functioning of medical instruments working close to the patient’s body tissues and their protection by monitoring possible disturbances. Thanks to these commitments, various health recommendations have been taken into account. This concerns piezoelectric actuated robotics, assisted with MRI and the possible use of conductive materials in this imager under certain conditions. The safe use of onboard devices with EMF-insensitive or intelligently shielded materials with short exposure intervals is also of concern. Additionally, the need to monitor body temperature in case of prolonged exposure of onboard devices to EMF is analyzed in the Discussion section. Moreover, the use of virtual tissue models in EMC testing to achieve more realistic evaluation capabilities also features in the Discussion section.
Internet of Things Data Cloud Jobs Scheduling Using Modified Distance Cat Swarm Optimization
Authors: Yousif Adil , Shohdy Monika , Hassan Alzubair , Ali Awad
Published: November 2023

IoT cloud computing provides all functions of traditional computing as services through the Internet for the users. Big data processing is one of the most crucial advantages of IoT cloud computing. However, IoT cloud job scheduling is considered an NP-hard problem due to the hardness of allocating the clients’ jobs to suitable IoT cloud provider resources. Previous work on job scheduling tried to minimize the execution time of the job scheduling in the IoT cloud, but it still needs improvement. This paper proposes an enhanced job scheduling mechanism using cat swarm optimization (CSO) with modified distance to minimize the execution time. The proposed job scheduling mechanism first creates a set of jobs and resources to generate the population by randomly assigning the jobs to resources. Then, it evaluates the population using the fitness value, which represents the execution time of the jobs. In addition, we use iterations to regenerate populations based on the cat’s behaviour to produce the best job schedule that gives the minimum execution time for the jobs. We evaluated the proposed mechanism by implementing an initial simulation using Java Language and then conducted a complete simulation using the CloudSim simulator. We ran several experimentation scenarios using different numbers of jobs and resources to evaluate the proposed mechanism regarding the execution time. The proposed mechanism significantly reduces the execution time when we compare the proposed mechanism against the firefly algorithm and glowworm swarm optimization. The average execution time of the proposed cat swarm optimization was 131, while the average execution times for the firefly algorithm and glowworm optimization were 237 and 220, respectively. Hence, the experimental findings demonstrated that the proposed mechanism performs better than the firefly algorithm and glowworm swarm optimization in reducing the execution time of the jobs.
Evaluation of a Telemergency Service for Older People Living at Home: A Cross-Sectional Study
Authors: Casabona Elena , Campagna Sara , Charrier Lorena , Viotti Dante , Castello Angela , Di Giulio Paola , Dimonte Valerio
Published: November 2023

Personal Emergency Response Systems (PERSs) are fall-detection devices supporting users in any situation. No previous studies have investigated the differences in events and the use of PERS between users financially supported by public authorities (public users) and those who privately afford the PERS cost (private users). More than two years of data collected by the Telemergency Operation Centre (TOC) were downloaded. All users who sent at least one real alert to request support were included. No differences were found for falls (37, 16.7% vs. 95, 13.4%) and medical problems (46, 20.7% vs. 122, 17.2%). The dispatch of an ambulance was necessary for all medical problems, while for falls, this was only in half of cases. Public users significantly asked more for service demand, while private users asked for support calls. The TOC staff directly managed most of the service demands (398, 97.3%) and support calls. PERS could be a valid instrument for promoting independent living and helping manage chronic conditions in older adults. The results suggest that PERSs might improve in-home care services, facilitating the connection to in-home services.
Comparative Evaluation of Java Virtual Machine-Based Message Queue Services: A Study on Kafka, Artemis, Pulsar, and RocketMQ
Authors: Chy Md Showkat Hossain , Arju Muhammad Ashfakur Rahman , Tella Sri Manjusha , Cerny Tomas
Published: November 2023

Message Queue (MQ) services play a vital role in modern distributed systems as they enable asynchronous communication between services and facilitate the decoupling of various components of the system. Among the many MQ services available, Kafka, Apache Pulsar, Artemis, and RocketMQ are popular choices, each offering unique features and capabilities. As the adoption of MQ services continues to grow, choosing the appropriate service that can meet the requirements of the system has become increasingly challenging. Therefore, a comprehensive comparison of these services is crucial to determine the most suitable one for a specific use-case. This research paper presents a thorough evaluation of these MQ services based on critical metrics such as CPU utilization, memory usage, garbage collection, latency, and throughput. Based on our extensive review, no other research has delved into such a detailed evaluation, thereby establishing our work as a cornerstone in this field. The results of our study offer valuable insights into the strengths and limitations of each service. Our findings indicate that each message queue behaves differently inside the Java Virtual Machine (JVM). This work aims to assist developers and researchers in strategically deploying and optimizing MQ services based on specific system and use-case requirements. In addition to providing machine metrics, our results demonstrate the performance of each message queue under different load scenarios, making it a valuable resource for those seeking to ensure the effective functioning of their MQ services.
Kernel Mapping Methods of Convolutional Neural Network in 3D NAND Flash Architecture
Authors: Song Min Suk , Hwang Hwiho , Lee Geun Ho , Ahn Suhyeon , Hwang Sungmin , Kim Hyungjin
Published: November 2023

A flash memory is a non-volatile memory that has a large memory window, high cell density, and reliable switching characteristics and can be used as a synaptic device in a neuromorphic system based on 3D NAND flash architecture. We fabricated a TiN/Al2O3/Si3N4/SiO2/Si stack-based Flash memory device with a polysilicon channel. The input/output signals and output values are binarized for accurate vector-matrix multiplication operations in the hardware. In addition, we propose two kernel mapping methods for convolutional neural networks (CNN) in the neuromorphic system. The VMM operations of two mapping schemes are verified through SPICE simulation. Finally, the off-chip learning in the CNN structure is performed using the Modified National Institute of Standards and Technology (MNIST) dataset. We compared the two schemes in terms of various parameters and determined the advantages and disadvantages of each.
Network Layer Privacy Protection Using Format-Preserving Encryption
Authors: Mićović Marko , Radenković Uroš , Vuletić Pavle
Published: November 2023

Format-Preserving Encryption (FPE) algorithms are symmetric cryptographic algorithms that encrypt an arbitrary-length plaintext into a ciphertext of the same size. Standardisation bodies recognised the first FPE algorithms (FEA-1, FEA-2, FF1 and FF3-1) in the last decade, and they have not been used for network layer privacy protection so far. However, their ability to encrypt arbitrary-length plaintext makes them suitable for encrypting selected packet header fields and replacing their original value with ciphertext of the same size without storing excessive information on the network element. If the encrypted fields carry personally identifiable information, it is possible to protect the privacy of the endpoints in the communication. This paper presents our research on using FPE for network layer privacy protection and describes LISPP, a lightweight, stateless network layer privacy protection system. The system was developed for programmable smart network interface cards (NIC) and thoroughly tested in a real network environment. We have created several implementations ranging from pure P4 to a mix of P4 and C implementations, exploring their performance and the suitability of target-independent P4 language for such processor-intensive applications. Finally, LISPP achieved line rate TCP throughput, up to 4.5 million packets per second, with the penalty of only 30 to 60 microseconds of additional one-way delay, proving that it is adequate for use in production networks. The most efficient implementation was with the FF3-1 algorithm developed in C and carefully adapted to the specific hardware configuration of the NIC.
Center-Guided Transformer for Panoptic Segmentation
Authors: Baek Jong-Hyeon , Lee Hee Kyung , Choo Hyon-Gon , Jung Soon-heung , Koh Yeong Jun
Published: November 2023

A panoptic segmentation network to predict masks and classes for things and stuff in images is proposed in this work. Recently, panoptic segmentation has been advanced through the combination of the query-based learning and end-to-end learning approaches. Current research focuses on learning queries without distinguishing between thing and stuff classes. We present decoupling query learning to generate effective thing and stuff queries for panoptic segmentation. For this purpose, we adopt different workflows for thing and stuff queries. We design center-guided query selection for thing queries, which focuses on the center regions of individual instances in images, while we set stuff queries as randomly initialized embeddings. Also, we apply a decoupling mask to the self-attention of query features to prevent interactions between things and stuff. In the query selection process, we generate a center heatmap that guides thing query selection. Experimental results demonstrate that the proposed panoptic segmentation network outperforms the state of the art on two panoptic segmentation datasets.
Indirect Matrix Converter Hardware-in-the-Loop Semi-Physical Simulation Based on Latency-Free Decoupling
Authors: Sang Zhongqing , Li Shaojie , Huang Yuanyuan , Gao Xin , Qiao Rui
Published: November 2023

In the process of hardware-in-the-loop simulations (HILs) of indirect matrix converters (IMCs), solving the mathematical models of complex multiswitching converter topologies has become a major problem. The conventional approach is to split the complex mathematical model into multiple serial subsystems; however, this inevitably produces delays in the simulation steps between different subsystems, leading to numerical oscillations. In this paper, the method of latency-free decoupling is adopted, which has no time-step delay between different subsystems, making each subsystem a parallel operation. This can improve the numerical stability of the simulations and can effectively reduce the step size of the real-time simulation and alleviate the problem of real-time simulation resource consumption. In this paper, we discuss in detail the modeling process of IMC hardware-in-the-loop simulations with Finite Control Set Model Predictive Control (FCS-MPC), and experimentally validate our method using the Speedgoat test platform, resulting in a simulation step size of less than 200 ns. The simulation results are compared with the results of Matlab’s Simpower power system, which allows us to evaluate the accuracy of our model.
Programming Techniques of Resistive Random-Access Memory Devices for Neuromorphic Computing
Authors: Machado Pau , Manich Salvador , Gómez-Pau Álvaro , Rodríguez-Montañés Rosa , González Mireia Bargalló , Campabadal Francesca , Arumí Daniel
Published: November 2023

Neuromorphic computing offers a promising solution to overcome the von Neumann bottleneck, where the separation between the memory and the processor poses increasing limitations of latency and power consumption. For this purpose, a device with analog switching for weight update is necessary to implement neuromorphic applications. In the diversity of emerging devices postulated as synaptic elements in neural networks, RRAM emerges as a standout candidate for its ability to tune its resistance. The learning accuracy of a neural network is directly related to the linearity and symmetry of the weight update behavior of the synaptic element. However, it is challenging to obtain such a linear and symmetrical behavior with RRAM devices. Thus, extensive research is currently devoted at different levels, from material to device engineering, to improve the linearity and symmetry of the conductance update of RRAM devices. In this work, the experimental results based on different programming pulse conditions of RRAM devices are presented, considering both voltage and current pulses. Their suitability for application as analog RRAM-based synaptic devices for neuromorphic computing is analyzed by computing an asymmetric nonlinearity factor.
Occurrence and Distribution of Neonicotinoid Pesticides in Chinese Waterways: A Review
Authors: Zhang Shaoqing , Jiang Jia-Qian
Published: November 2023

Neonicotinoid pesticides (NEOs) were initially considered viable alternatives to conventional organo-pesticides extensively used in agriculture, horticulture, and households. However, the increased frequency and concentration of NEOs in waterways have drawn significant attention and concern due to the resulting threats to ecosystems and public health worldwide. The demand for monitoring NEOs in water has led to numerous efforts in many countries and regions. Given occurrence and distribution of these pesticides/insecticides. This study reviews NEOs monitoring in China from 2019 to 2022, aiming to gather and analyse information on China’s efforts in NEOs monitoring to provide reference for future research. The study primarily focuses on the southern and southeastern regions of China, specifically on lakes and tributaries of rivers, including Taihu Lake, Pearl River, Yangtze River, Songhua River, and Liao River. This focus can be attributed to the prioritisation and environmental demands related to the local economic status and major developmental tasks. The evaluation of the corresponding ecological risks of human exposure to NEOs ranged from low to medium-high levels. However, despite these findings, contamination from NEOs is still considered to lack sufficient attention and concern. Additionally, the presence of NEOs in other environmental media, such as indoor dust, wheat grains, vegetables, and teas, requires close attention in the future.
Multi-Scale Effects of Landscape Pattern on Soundscape Perception in Residential Green Spaces
Authors: Liu Jiang , Huang Yi-Jun , Chen Zhu , Hong Xin-Chen
Published: November 2023

Soundscape quality in green spaces of residential areas directly contributes to residents’ quality of life. It has close relationships with landscape characteristics, which should be considered in landscape planning and design processes in residential areas. Accordingly, this study proposed a new perspective on the interrelationships between soundscape perception and landscape pattern on multi-scale, based on a case study of 30 residential green spaces in Fuzhou, China. Percentage of Landscape (PLAND), Patch Density (PD), Landscape Shape Index (LSI), and Patch cohesion index (COHESION) were utilized to represent the landscape pattern of vegetation, buildings, and roads in the residential areas. Soundscape perception was interpreted using the sound dominant degree (SDD) of sound sources and overall soundscape quality. The examined spatial scales range from 20 m to 180 m, with concentric circles spaced 20 m apart for each sampling point. Correlation analyses indicated that most landscape indices of vegetation and buildings were correlated with these soundscape perception indicators, while limited landscape indices of roads were associated with them. Based on the multi-scale landscape indices, multiple linear regression models for the SDD of sound sources and overall soundscape quality were established, confirming that the scale effect of landscape patterns can affect soundscape perception. Expressly, results indicated that these models were chiefly influenced by the landscape indices at a scale less than 120 m, but the scale effect of landscape pattern on the SDD of birdsong, pleasantness, and quietness was not so evident. Furthermore, we found that the number of explanatory variables may somewhat affect the model performance. The overall interpretability of these landscape indices for the SDD of sound sources was better than that of overall soundscape quality, implying the complexity of the latter. This study offers a fresh insight into the relationship between landscapes and soundscapes at varying scales. The findings can provide useful information for the promotion strategies of landscapes and soundscapes, especially in residential green spaces.
Composition of Species and Spatial Patterns of Phyllostachys edulis Mixed Forests in a Succession after Enclosure
Authors: Liu Jiaying , Zheng Suyun , Lin Yuwei , Zhang Yirong , Rong Jundong , He Tianyou , Zheng Junming , Chen Liguang , Zheng Yushan
Published: November 2023

This paper investigates the changes in species diversity and the spatial pattern of the population of a moso bamboo (Phyllostachys edulis) forest community in the Wuyi Mountain Nature Reserve in Fujian Province, China. Using the method of space–time substitution, the composition of species and changes in the spatial patterns of different communities were analyzed by taking Phyllostachys edulis mixed forests after 0, 3, 5, 10, 15, and 40 years of enclosure as the survey object. The results showed that as the number of years of enclosure extended, the important values of the Japanese bay tree (Machilus thunbergii Sieb. & Zucc.), chinquapin (Castanopsis faberi Hance), and Masson’s pine (Pinus massoniana Lamb.) increased continuously. These trees became the dominant species of mature forest after 40 years of enclosure. The species diversity of mature and young trees in the community generally increased in parallel with the years of enclosure, and the species diversity of the shrubs generally increased first and then decreased as the number of years of enclosure increased. With the extension of enclosure years, the average diameter at breast height of the mature trees tended to increase, indicating that there were increasing advantages of mature growth as the time of enclosure increased. With the extension of enclosure years, the pattern of spatial distribution of the mature trees in the forest community was generally an aggregated distribution. The Phyllostachys edulis forest community under the prolonged enclosure conditions responded in a positive direction and ultimately formed a more stable Phyllostachys edulis mixed forest community.