bluuebunny/crossref_metadata_2025 huggingface dataset:
The DTX Protein Family: An Emerging Set of E3 Ubiquitin Ligases in Cancer
Authors: Scalia Pierluigi , Williams Stephen J. , Suma Antonio , Carnevale Vincenzo
Published: June 2023

Until recently, Deltex (DTX) proteins have been considered putative E3 ligases, based on the presence of an E3 RING domain in their protein coding sequence. The human DTX family includes DTX1, DTX2, DTX3, DTX3L and DTX4. Despite the fact that our knowledge of this class of E3-ubiquitin ligases is still at an early stage, our understanding of their role in oncogenesis is beginning to unfold. In fact, recently published studies allow us to define specific biological scenarios and further consolidate evidence-based working hypotheses. According to the current evidence, all DTX family members are involved in the regulation of Notch signaling, suggesting a phylogenetically conserved role in the regulation of this pathway. Indeed, additional evidence reveals a wider involvement of these proteins in other signaling complexes and cancer-promoting mechanisms beyond NOTCH signaling. DTX3, in particular, had been known to express two isoform variants (DTX3a and DTX3b). The recent identification and cloning of a third isoform variant in cancer (DTX3c), and its specific involvement in EphB4 degradation in cancer cells, sheds further light on this group of proteins and their specific role in cancer. Herein, we review the cumulative knowledge of this family of E3 Ubiquitin ligases with a specific focus on the potential oncogenic role of DTX isoforms in light of the rapidly expanding findings regarding this protein family’s cellular targets and regulated signaling pathways. Furthermore, using a comparative and bioinformatic approach, we here disclose a new putative motif of a member of this family which may help in understanding the biological and contextual differences between the members of these proteins.
Modulation of E-Cadherin Function through the AmotL2 Isoforms Promotes Ameboid Cell Invasion
Authors: Subramani Aravindh , Cui Weiyingqi , Zhang Yuanyuan , Friman Tomas , Zhao Zhihai , Huang Wenmao , Fonseca Pedro , Lui Weng-Onn , Narayanan Vani , Bobrowska Justyna , Lekka Małgorzata , Yan Jie , Conway Daniel E. , Holmgren Lars
Published: June 2023

The spread of tumor cells and the formation of distant metastasis remain the main causes of mortality in cancer patients. However, the mechanisms governing the release of cells from micro-environmental constraints remain unclear. E-cadherin negatively controls the invasion of epithelial cells by maintaining cell–cell contacts. Furthermore, the inactivation of E-cadherin triggers invasion in vitro. However, the role of E-cadherin is complex, as metastasizing cells maintain E-cadherin expression, which appears to have a positive role in the survival of tumor cells. In this report, we present a novel mechanism delineating how E-cadherin function is modulated to promote invasion. We have previously shown that E-cadherin is associated with p100AmotL2, which is required for radial actin formation and the transmission of mechanical force. Here, we present evidence that p60AmotL2, which is expressed in invading tumor cells, binds to the p100AmotL2 isoform and uncouples the mechanical constraint of radial actin filaments. We show for the first time that the coupling of E-cadherin to the actin cytoskeleton via p100AmotL2 is directly connected to the nuclear membrane. The expression of p60AmotL2 inactivates this connection and alters the properties of the nuclear lamina, potentiating the invasion of cells into micropores of the extracellular matrix. In summary, we propose that the balance of the two AmotL2 isoforms is important in the modulation of E-cadherin function and that an imbalance of this axis promotes ameboid cell invasion.
Dietary Advanced Glycation End Products: Their Role in the Insulin Resistance of Aging
Authors: Portero-Otin Manuel , de la Maza M. Pia , Uribarri Jaime
Published: June 2023

Insulin resistance (IR) is commonly observed during aging and is at the root of many of the chronic nontransmissible diseases experienced as people grow older. Many factors may play a role in causing IR, but diet is undoubtedly an important one. Whether it is total caloric intake or specific components of the diet, the factors responsible remain to be confirmed. Of the many dietary influences that may play a role in aging-related decreased insulin sensitivity, advanced glycation end products (AGEs) appear particularly important. Herein, we have reviewed in detail in vitro, animal, and human evidence linking dietary AGEs contributing to the bodily burden of AGEs with the development of IR. We conclude that numerous small clinical trials assessing the effect of dietary AGE intake in combination with strong evidence in many animal studies strongly suggest that reducing dietary AGE intake is associated with improved IR in a variety of disease conditions. Reducing AGE content of common foods by simple changes in culinary techniques is a feasible, safe, and easily applicable intervention in both health and disease. Large-scale clinical trials are still needed to provide broader evidence for the deleterious role of dietary AGEs in chronic disease.
Mapping the Physical Language of Children Diagnosed with Autism: A Preliminary Study
Authors: Federman Dita , Blustein Adi , Rabinowitch Tal-Chen
Published: June 2023

Children diagnosed with autism spectrum disorder have a unique motor profile, characterized by, for example, unusual posture or compulsive use of the body. However, not much is known about specific characteristics of their physical language, such as their movement direction, their self-touch pattern, etc., and even less is known about these characteristics with regard to their typically developing siblings. In this first of its kind study, we attempted to map the physical language of children diagnosed with autism spectrum disorder and to compare it to their typically developing siblings. To this end, we recruited 12 pairs of siblings, comprising one sibling with a diagnosis of autism and one sibling who is typically developing. The siblings were asked to play for 10 min and were videotaped throughout the interaction. We evaluated the siblings’ physical language using Laban’s movement analysis. We found significant and substantial differences between the physical language of the children diagnosed with autism and their typically developing siblings. The results are discussed in terms of the implications of the differences in physical language between the two populations and how movement analysis could be important for interventions in order to improve the communication and social abilities of ASD children.
HIV Disclosure to Infected Children Involving Peers: A New Take on HIV Disclosure in the Democratic Republic of Congo
Authors: Kitetele Faustin Nd. , Dageid Wenche , Lelo Gilbert M. , Akele Cathy E. , Lelo Patricia V. M. , Nyembo Patricia L. , Tylleskär Thorkild , Kashala-Abotnes Espérance
Published: June 2023

Appropriately informing HIV-infected children of their diagnosis is a real challenge in sub-Saharan Africa. Until now, there is no consensus on who ought to disclose and how to disclose. This paper describes the model for HIV status disclosure in which HIV-positive children/adolescents are informed about their diagnosis in a process conducted by young peers under healthcare worker (HCW) supervision in a hospital in Kinshasa, the Democratic Republic of Congo. This new take on HIV status disclosure involving peers includes four stages that help the trained peer supporters to provide appropriate counseling, taking into account the age and level of maturity of the child/adolescent: the preliminary stage, the partial disclosure stage, the full disclosure stage, and the post-disclosure follow-up stage. Of all children/adolescents whose HIV status disclosure data were documented at Kalembelembe Pediatric Hospital (KLLPH) between 2004 and 2016, we found that disclosure by peers was highly accepted by parents, children/adolescents, and health workers. Compared to children/adolescents disclosed to by HCWs or parents, children/adolescents disclosed to by peers had (a) fewer depressive symptoms reported, (b) better drug adherence resulting in higher viral load suppression, and (c) a higher proportion of survivors on treatment. We found that involving peers in the disclosure process of HIV is an important approach to ensure adherence to treatment, resilience, and mental wellbeing of HIV-infected children/adolescents.
Predicting Therapeutic Efficacy of Pharmacological Treatments in Children with Postural Orthostatic Tachycardia Syndrome: A Mini-Review
Authors: Fan Siying , Cui Yaxi , Liao Ying , Jin Hongfang
Published: June 2023

Postural orthostatic tachycardia syndrome (POTS) is common in children, with an excessive increment in heart rate when moving from the supine to upright position. It has significant negative impacts on the daily life of pediatric patients. The pathogenesis of POTS includes peripheral vascular dysfunction, central hypovolemia, abnormal autonomic function, a high-adrenergic state, impaired skeletal-muscle pump function, the abnormal release of vasoactive factors, and autoimmune abnormalities. Therefore, the empirical use of pharmacological treatments has limited therapeutic efficacy due to the diversity of its mechanisms. A crucial aspect of managing POTS is the selection of appropriate treatment targeting the specific pathogenesis. This review summarizes the commonly used pharmacological interventions, with a focus on their predictive indicators for treatment response. Factors such as heart rate variability, plasma biomarkers, and cardiac-function parameters are discussed as potential predictors of therapeutic efficacy, enabling the implementation of individualized treatment to improve therapeutic effectiveness. This review consolidates the current knowledge on POTS, encompassing its clinical characteristics, epidemiological patterns, underlying pathogenic mechanisms, and predictive indicators for treatment response. Further research is warranted to enhance the understanding of POTS and facilitate the development of more effective therapeutic approaches for this challenging syndrome.
In Situ Study on Cu-to-Cu Thermal Compression Bonding
Authors: Niu Tongjun , Xu Ke , Shen Chao , Sun Tianyi , Oberst Justin , Handwerker Carol A. , Subbarayan Ganesh , Wang Haiyan , Zhang Xinghang
Published: June 2023

Cu-to-Cu thermal compression bonding (TCB) has emerged as a promising solution for ultrafine pitch packaging in 3D integrated circuit technologies. Despite the progress made by conventional Cu-to-Cu TCB methods in achieving good mechanical strength of the Cu bonds, the bonding processes generally require high temperature and high pressure, which may degrade the performance and reliability of the device. Therefore, it is imperative to investigate the processing parameters to understand the bonding mechanism and achieve effective TCB at a low temperature and low pressure. Here, we developed an in situ TCB technique inside a scanning electron microscope. The in situ TCB method enables a real-time observation of bonding development, which provides critical insights into how the texture and microstructure of Cu bumps may influence the creep and surface diffusion during the bonding process. This work features a strategy to advance our understanding of the bonding mechanisms and provides insight into tailoring the microstructure of Cu for bonding at a low temperature and low pressure.
Effect of Fe and Thermal Exposure on Mechanical Properties of Al-Si-Cu-Ni-Mg-Fe Alloy
Authors: Li Jingdong , Chen Fanming , Wang Yuze , Zhang Yuanliang , Zhang Rui , Luo Yi , He Yiqiang , Sun Ke , Zuo Lijie
Published: June 2023

The effects of Fe, Cr and thermal exposure on the microstructure and mechanical properties of Al-Si alloy were investigated in this work. The results indicated that the main phases of the Al-Si-Cu-Ni-Mg-(0.6–0.9%) Fe (wt. %) alloy were α-Al, Si, Al5Cu2Mg8Si6, Al3CuNi, Al7Cu4Ni, Al2Cu, and AlFeSi at room temperature. The size of the AlSiFe phase increased with increasing the weight fraction of Fe. The shape of Fe-rich phase changed from rod-like to star-like, followed by long needle-like with Fe varying from 0.6% to 0.9%. The mechanical properties of the studied alloys at elevated temperatures increased with Fe. The ultimate tensile strength of the three alloys at 350 °C was 111.2 MPa, 124 MPa, and 128.7 MPa, respectively. In addition, the ductility and strength of the studied alloys at room temperature decreased with increasing the Fe, due to the large size of the hard and brittle Fe-rich phase strictly cleaved the aluminum matrix. After thermal exposure, the properties of the alloy at room temperature and elevated temperature decreased obviously at the beginning of 0.5~8 h, and then tend to be stabilized during thermal exposure at 350 °C for approximately 32~64 h. Fe-rich was a thermal stable phase at 350 °C.
Trematodes of Small Mammals (Erinaceomorpha, Soricomorpha, Rodentia and Chiroptera) in the Middle Volga Region (Russia)
Authors: Kirillova Nadezhda Yu. , Kirillov Alexander A. , Vekhnik Victoria A. , Shchenkov Sergei V. , Fayzulin Alexander I. , Ruchin Alexander B.
Published: June 2023

In this study, we present our dataset containing up-to-date information about occurrences of trematodes in small mammals in the Middle Volga region (European Russia). The dataset summarizes micromammals’ trematode occurrences obtained by long-term field helminthological studies of soricomorphs, erinaceomorphs, bats and rodents during a period of more than 20 years (1999–2022). Our studies of trematodes in micromammals were conducted using the method of complete helminthological necropsy. The dataset includes 7470 records of trematode occurrences in micromammals with 4483 digenean records in Samara Oblast, 2986 records in Republic of Mordovia and one trematode record in Ulyanovsk Oblast. Our dataset presents the data on 43 trematode species from 21 genera and 9 families found in the region studied. The data on trematodes from 28 species of micromammals belonging to 14 genera are presented. In total, the number of collected trematode specimens in our dataset is 153,050. Each occurrence record contains the trematode species name, basis of record, locality of finding, host species, site in host, date and authors of the record and species identification. All occurrence records are georeferenced. The dataset is based on the research of the staff of the Institute of Ecology of the Volga River basin of RAS and the Joint Directorate of the Mordovia Nature Reserve and National Park “Smolny”. The distribution and diversity of trematodes of small mammals in the Middle Volga region has not been completely studied, and further investigation may reveal both new occurrences of trematodes and new host records.
Plant Diversity and Distribution Patterns of Populus pruinosa Schrenk (Salicaceae) Floodplain Forests in Kazakhstan
Authors: Dimeyeva Liliya , Islamgulova Anastassiya , Permitina Valeriya , Ussen Kapar , Kerdyashkin Aleksandr , Tsychuyeva Natalya , Salmukhanbetova Zhuldyz , Kurmantayeva Alfiya , Iskakov Rashid , Imanalinova Azhar , Kaliyev Bedel
Published: June 2023

Populus pruinosa is listed in the International Union for Conservation of Nature (IUCN) Red List of Threatened Species and the Red Data Book of Kazakhstan. The habitats of the species are associated with the floodplains of desert rivers, including the Syr Darya and the Ili. The reduction in tugai forests is associated with changes in the hydrological regimes of rivers, the reduction in groundwater, fires, and grazing. The aim of this research is to advance our knowledge of the woodlands and forests of P. pruinosa in Kazakhstan by analyzing the cenoflora and forestry characteristics, conducting ecological niche modeling to select suitable habitats for ecological restoration, and identifying rehabilitation strategies. The vegetation was studied using traditional methods of geobotanic field research in 2021 and 2022. Ecological niche modeling includes the calculation of all the environmental variables that are significant for the species, taken in their optimal ranges, and identifying the intersection of all the favorable conditions. To identify these variables, geographically linked meeting points of the studied species, climatic and soil conditions, relief characteristics identified by the SRTM and raster sets of the environmental variables (WorldClim), and distances to watercourses and settlements were accepted for consideration. A total of 102 environmental variables were used.
A Study of the Epidemiology, Clinical, and Phenotypic Characteristics of Inflammatory Bowel Disease in the Northen-Central Region of Saudi Arabia
Authors: Al-Fawzan Ahmed A. , Al-Radhi Sulaiman A. , Al-Omar Ahmed S. , Al-Mutiri Nawaf H. , Al-Ammari Ammar M. , El-Gohary Mohammad , Shamsan Amal N. , Al Shehri Hamdan M. , ALGhasab Naif S.
Published: June 2023

Background: Inflammatory bowel disease (IBD), including Crohn’s disease (CD) and ulcerative colitis (UC), is becoming increasingly prevalent in Saudi Arabia. However, there is limited data on the characteristics and manifestations of IBD in this population. This study aimed to establish a multi-center database of patients with IBD in the Qassim region of Saudi Arabia to better understand the demographics, prevalence, and manifestations of IBD in this population. Methods: This retrospective study included patients diagnosed with IBD at three healthcare facilities in the Qassim region of Saudi Arabia. The patient’s demographic and clinical characteristics, disease location and behavior, age at diagnosis, medication use, related surgeries, and extraintestinal manifestations were recorded based on the Montreal classification. A total of 257 patients with IBD were included in the study, of which 126 had UC and 131 had CD. Results: Of the 257 patients with IBD, 134 (52.2%) were male and 123 (47.8%) were female. The mean age of patients with CD and UC were 28.74 (range 15–67) and 38.79 (range 15–75) years, respectively. There was a significant difference between all age groups (p < 0.005), with more patients aged over 40 years being diagnosed with UC. UC was most commonly classified as left-sided UC (E2) (60; 47.6%), while the most common location of CD was the ileocolon (L3) (76; 58%). Non-stricturing and non-penetrating CD was the most common behavior (B1) (70; 53.8%). Approximately one-third of the patients with Crohn’s disease developed perianal disease (70; 27.2%), with fistulizing Crohn’s being the most prevalent manifestation (40; 30.5%), followed by abscess formation (10; 7.6%) and fissures (9; 6.8%). The most common extraintestinal manifestation was arthropathy (15; 5.8%). Significant p-values were detected for UC and CD (p = 0.036). Conclusions: This study provides crucial insights into the demographics, patterns, and manifestations of IBD in Saudi Arabia. The findings highlight the need for improved diagnosis, management, and treatment strategies for IBD in this population. The establishment of a multi-center database will help to facilitate future research and improve patient care in Saudi Arabia.
The Association of Coronary Fat Attenuation Index Quantified by Automated Software on Coronary Computed Tomography Angiography with Adverse Events in Patients with Less than Moderate Coronary Artery Stenosis
Authors: Zhang Wenzhao , Li Peiling , Chen Xinyue , He Liyi , Zhang Qiang , Yu Jianqun
Published: June 2023

Objective: This study analyzed the relationship between the coronary FAI on CCTA and coronary adverse events in patients with moderate coronary artery disease based on machine learning. Methods: A total of 172 patients with coronary artery disease with moderate or lower coronary artery stenosis were included. According to whether the patients had coronary adverse events, the patients were divided into an adverse group and a non-adverse group. The coronary FAI of patients was quantified via machine learning, and significant differences between the two groups were analyzed via t-test. Results: The age difference between the two groups was statistically significant (p < 0.001). The group that had adverse reactions was older, and there was no statistically significant difference between the two groups in terms of sex and smoking status. There was no statistical significance in the blood biochemical indexes between the two groups (p > 0.05). There was a significant difference in the FAIs between the two groups (p < 0.05), with the FAI of the defective group being greater than that of the nonperforming group. Taking the age of patients as a covariate, an analysis of covariance showed that after excluding the influence of age, the FAIs between the two groups were still significantly different (p < 0.001).
Predicting Mechanical Thrombectomy Outcome and Time Limit through ADC Value Analysis: A Comprehensive Clinical and Simulation Study Using Machine Learning
Authors: Oura Daisuke , Takamiya Soichiro , Ihara Riku , Niiya Yoshimasa , Sugimori Hiroyuki
Published: June 2023

Predicting outcomes after mechanical thrombectomy (MT) remains challenging for patients with acute ischemic stroke (AIS). This study aimed to explore the usefulness of machine learning (ML) methods using detailed apparent diffusion coefficient (ADC) analysis to predict patient outcomes and simulate the time limit for MT in AIS. A total of 75 consecutive patients with AIS with complete reperfusion in MT were included; 20% were separated to test data. The threshold ranged from 620 × 10−6 mm2/s to 480 × 10−6 mm2/s with a 20 × 10−6 mm2/s step. The mean, standard deviation, and pixel number of the region of interest were obtained according to the threshold. Simulation data were created by mean measurement value of patients with a modified Rankin score of 3–4. The time limit was simulated from the cross point of the prediction score according to the time to perform reperfusion from imaging. The extra tree classifier accurately predicted the outcome (AUC: 0.833. Accuracy: 0.933). In simulation data, the prediction score to obtain a good outcome decreased according to increasing time to reperfusion, and the time limit was longer among younger patients. ML methods using detailed ADC analysis accurately predicted patient outcomes in AIS and simulated tolerance time for MT.
Accuracy of a Smartphone-Based Artificial Intelligence Application for Classification of Melanomas, Melanocytic Nevi, and Seborrheic Keratoses
Authors: Liutkus Jokubas , Kriukas Arturas , Stragyte Dominyka , Mazeika Erikas , Raudonis Vidas , Galetzka Wolfgang , Stang Andreas , Valiukeviciene Skaidra
Published: June 2023

Current artificial intelligence algorithms can classify melanomas at a level equivalent to that of experienced dermatologists. The objective of this study was to assess the accuracy of a smartphone-based “You Only Look Once” neural network model for the classification of melanomas, melanocytic nevi, and seborrheic keratoses. The algorithm was trained using 59,090 dermatoscopic images. Testing was performed on histologically confirmed lesions: 32 melanomas, 35 melanocytic nevi, and 33 seborrheic keratoses. The results of the algorithm’s decisions were compared with those of two skilled dermatologists and five beginners in dermatoscopy. The algorithm’s sensitivity and specificity for melanomas were 0.88 (0.71–0.96) and 0.87 (0.76–0.94), respectively. The algorithm surpassed the beginner dermatologists, who achieved a sensitivity of 0.83 (0.77–0.87). For melanocytic nevi, the algorithm outclassed each group of dermatologists, attaining a sensitivity of 0.77 (0.60–0.90). The algorithm’s sensitivity for seborrheic keratoses was 0.52 (0.34–0.69). The smartphone-based “You Only Look Once” neural network model achieved a high sensitivity and specificity in the classification of melanomas and melanocytic nevi with an accuracy similar to that of skilled dermatologists. However, a bigger dataset is required in order to increase the algorithm’s sensitivity for seborrheic keratoses.
Nutritional Adequacy and Patient Perceptions of the Hospital Inpatient Haemodialysis Menu: A Mixed Methods Case Series
Authors: Neal Kate , Al Nakeeb Fatima , Lambert Kelly
Published: June 2023

Aim: To evaluate the nutritional adequacy of the hospital haemodialysis menu, quantify the dietary intake of hospitalised haemodialysis patients and explore patient perceptions of the menu. Methods: The menu analysis compared the default menu to reference standards using a one sample t-test via SPSS. Eight hospitalised haemodialysis patients were purposively interviewed using semi-structured interviews. Thematic analysis was used to identify the dominant themes. The participant’s actual dietary intake was calculated and compared to individual nutrients using evidence-based guidelines. Results: Compared to the reference standards, the default inpatient haemodialysis menu did not provide adequate energy (p < 0.001, mean = 8767 kJ/day ± 362), sodium (p < 0.001, mean = 72 mmol/day ± 9), potassium (p < 0.001, mean = 64 mmol/day ± 4), vitamin C (p ≤ 0.001, mean = 33 mg/day ± 10) and fibre (p < 0.001, mean = 26 g/day ± 3). Inadequate intake of energy and protein occurred in half of the participants. Passive acceptance of the menu, environmental and cultural considerations contributed to missed food opportunities impacting the patient experience and limited intake. Conclusions: The profile of the current default inpatient haemodialysis menu impacts the dietary intake and the experience of haemodialysis inpatients. It is recommended that the default menu is optimised in line with evidence-based guidelines for inpatients.
Knowledge, Attitude, and Practice towards Chelating Agents in Endodontic Treatment among Dental Practitioners
Authors: Mikheikina Anna , Novozhilova Nina , Polyakova Maria , Sokhova Inna , Mun Anastasia , Zaytsev Alexandr , Babina Ksenia , Makeeva Irina
Published: June 2023

The use of chelating agents (CAs) in the endodontic irrigation protocol is required to dissolve the inorganic components of the smear layer. We aimed to assess the knowledge, attitude, and practice of dental professionals regarding the use of CAs during root canal treatment. A cross-sectional anonymous online survey was conducted among specialized endodontists and general dentists who routinely perform endodontic treatment and work in government-funded or private clinics in Moscow. The 8 min survey consisted of four parts: basic demographic data, knowledge (five items), attitude (four items), and practice (five items). We collected 376 completed questionnaires; a majority of the respondents were general dentists (87.5%) and worked in private clinics (77.4%). Most respondents (83.5%) showed a fair knowledge of the CAs used in endodontics, while 16.5% showed a poor knowledge of the topic. Small yet significant differences were found between endodontists and general practitioners and between dentists employed by private and government-funded clinics. A majority of dental practitioners (83%) demonstrated a positive attitude towards the use of CAs in endodontic treatment, and there were no differences among the study subgroups. Almost a third of the respondents always used chelating solutions during endodontic treatment, while 17% of the respondents did not use them at all. There were significant differences in this parameter between dentists working in private and government-funded clinics. Practice significantly correlated with attitude towards chelating agents and with knowledge of the topic. In conclusion, dental practitioners demonstrated a fair knowledge of CAs. Despite a positive attitude, 71% of the respondents did not use CAs for all endodontic patients.
Optimization Algorithms for UAV-and-MUV Cooperative Data Collection in Wireless Sensor Networks
Authors: Lu Yu , Hong Yi , Luo Chuanwen , Li Deying , Chen Zhibo
Published: June 2023

The deployment of unmanned aerial vehicles (UAVs) has significantly improved the efficiency of data collection for wireless sensor networks (WSNs). The freshness of collected information from sensors can be measured by the age of information (AoI), which is an important factor to consider in data collection. For data collection during long-term mission, the energy limitation of UAVs may cause mission interruption, which makes supplementation of the UAVs’ energy more necessary. To this end, we introduce the mobile unmanned vehicle (MUV) to guarantee the UAVs’ energy supplementation. In this paper, we investigate the problem of multi-UAVs and single-MUV cooperative trajectory planning (MUSM-CTP) for data collection in WSNs with consideration for the AoI the collected data and the limited battery capacity of UAVs. The objective of this problem is to find cooperative flight trajectories for multiple UAVs and to determine the MUV’s travel plan to replace batteries for the UAVs, such that the average AoI of all collected data is minimized. We prove the NP-hardness of the problem and design the algorithm via three phases to solve this: determining candidate hover points based on the affinity propagation (AP) clustering method, constructing the flight trajectories of multiple UAVs based on the genetic algorithm (GA), and designing a travel plan for the MUV. The simulation results verify the effectiveness of the proposed algorithm in improving the freshness of the information collected from all of the sensors.
Flying Sensor and Edge Network-Based Advanced Air Mobility Systems: Reliability Analysis and Applications for Urban Monitoring
Authors: Fesenko Herman , Illiashenko Oleg , Kharchenko Vyacheslav , Kliushnikov Ihor , Morozova Olga , Sachenko Anatoliy , Skorobohatko Stanislav
Published: June 2023

Typical structures of monitoring systems (MSs) that are used in urban complex objects (UCOs) (such as large industrial facilities, power facilities, and others) during the post-accident period are combined with the technologies of flying sensor networks (FSNets) and flying edge networks (FENets) (FSNets and FENets); cloud/fog computing and artificial intelligence are also developed. An FSNets and FENets-based MS, composed of one of the Advanced Air Mobility (AAM) systems classes, which comprise main and virtual crisis centers, fleets of flying sensors, edge nodes, and a ground control station, is presented and discussed. Reliability and survivability models of the MS for the UCOs, considering various operation conditions and options of redundancy, are developed and explored. A tool to support the research on MS reliability, survivability, and the choice of parameters is developed and described. Crucially, this paper enhances the technique for assessing systems using the multi-parametrical deterioration of characteristics as a class of multi-state systems. Problems that may arise when using FSNets/FENet-based AAM systems are discussed. The main research results comprise a structural basis, a set of models, and a tool for calculating the reliability and survivability of FSNets/FENet-based AAM systems, with various options for distributing the processing and control resources between components, their failure rates, and degradation scenarios.
Comparing Unmanned Aerial Multispectral and Hyperspectral Imagery for Harmful Algal Bloom Monitoring in Artificial Ponds Used for Fish Farming
Authors: Olivetti Diogo , Cicerelli Rejane , Martinez Jean-Michel , Almeida Tati , Casari Raphael , Borges Henrique , Roig Henrique
Published: June 2023

This work aimed to assess the potential of unmanned aerial vehicle (UAV) multi- and hyper-spectral platforms to estimate chlorophyll-a (Chl-a) and cyanobacteria in experimental fishponds in Brazil. In addition to spectral resolutions, the tested platforms differ in the price, payload, imaging system, and processing. Hyperspectral airborne surveys were conducted using a push-broom system 276-band Headwall Nano-Hyperspec camera onboard a DJI Matrice 600 UAV. Multispectral airborne surveys were conducted using a global shutter-frame 4-band Parrot Sequoia camera onboard a DJI Phantom 4 UAV. Water quality field measurements were acquired using a portable fluorometer and laboratory analysis. The concentration ranged from 14.3 to 290.7 µg/L and from 0 to 112.5 µg/L for Chl-a and cyanobacteria, respectively. Forty-one Chl-a and cyanobacteria bio-optical retrieval models were tested. The UAV hyperspectral image achieved robust Chl-a and cyanobacteria assessments, with RMSE values of 32.8 and 12.1 µg/L, respectively. Multispectral images achieved Chl-a and cyanobacteria retrieval with RMSE values of 47.6 and 35.1 µg/L, respectively, efficiently mapping the broad Chl-a concentration classes. Hyperspectral platforms are ideal for the robust monitoring of Chl-a and CyanoHABs; however, the integrated platform has a high cost. More accessible multispectral platforms may represent a trade-off between the mapping efficiency and the deployment costs, provided that the multispectral cameras offer narrow spectral bands in the 660–690 nm and 700–730 nm ranges for Chl-a and in the 600–625 nm and 700–730 nm spectral ranges for cyanobacteria.
Influence of an Axial-Electromagnetic Field Treatment Device with a Solenoid Structure on Crystallization Fouling on the Tube Side of a Shell-and-Tube Heat Exchanger
Authors: Peng Yaxuan , Xu Xuefei , Liang Yandong
Published: June 2023

In this study, the influence of an axial-electromagnetic field treatment device (AEFTD) with a solenoid structure using different electromagnetic frequencies on calcium carbonate (CaCO3) crystallization fouling on the tube side of a shell-and-tube heat exchanger was investigated. The experimental results indicated that the application of the AEFTD could effectively reduce fouling resistance and decelerate the growth rate of CaCO3 fouling. The opposite trend between fouling resistance and the outlet temperature of an experimental fluid indicated that the application of the AEFTD could enhance heat transfer. Meanwhile, the crystal morphologies of the fouling samples were analyzed by means of scanning electron microscopy (SEM). The axial-electromagnetic field favored the formation of vaterite as opposed to calcite. Non-adhesive vaterite did not easily aggregate into clusters and was suspended in bulk to form muddy fouling that could be carried away by turbulent flow. Furthermore, the anti-fouling mechanism of the axial-electromagnetic field is discussed in detail. The anti-fouling effect of the AEFTD on CaCO3 fouling exhibited extreme characteristics in this study. Therefore, the effectiveness of the AEFTD is contingent upon the selection of the electromagnetic parameters.
Hiding Information in Digital Images Using Ant Algorithms
Authors: Boryczka Mariusz , Kazana Grzegorz
Published: June 2023

Stenographic methods are closely related to the security and confidentiality of communications, which have always been essential domains of human life. Steganography itself is a science dedicated to the process of hiding information in public communication channels. Its main idea is to use digital files or even communication protocols as a medium inside which data are hidden. The present research aims to investigate the applicability of ant algorithms in steganography and evaluate the effectiveness of this approach. Ant systems could be employed both in spatial and frequency-based image steganography. The combination of frequency domain and optimization method to increase robustness is used, and an integer wavelet transform is performed on the host image. ACO optimization is used to find the optimal coefficients describing where to hide the data. The other method utilizes ACO to determine the optimal pixel locations for embedding secret data in the cover image. ACO is also used to detect complex regions of the cover image. Afterward, the least-significant-bits (LSB) substitution is used to hide secret information in the detected complex regions’ pixels. Our study focuses on optimizing two mutually exclusive features of steganograms—high capacity and low distortion. An attempt was made to use ant systems to select areas of digital images that allow the greatest amount of information to be hidden with the least loss of image quality. The effect of variants of the ant system and its parameters on the quality of the results obtained was also investigated, and the final effectiveness of the proposed method was evaluated. The results of the experiments were compared with those published in related articles. The proposed procedures proved to be effective and allowed the embedding of large amounts of data with relatively little impact on image quality.
Context-Based Support to Enhance Developers’ Learning of Software Security
Authors: Wen Shao-Fang
Published: June 2023

Software security is an ongoing problem, largely due to a lack of security knowledge among software developers from diverse backgrounds. To counter this, security experts are attempting to offer a broad range of knowledge resources to enlighten developers about increasing cybersecurity threats. Unfortunately, the abundance of knowledge resources does not seem to have much of an impact on reducing the issue of software security. The ineffective teaching and learning approaches for software security have created difficulties for developers in learning security knowledge. This research employs a four-cycle of Design Science Research Methodology (DSRM) to integrate necessary elements in the development of a context-based learning system for security education and learning. The final artifact is an ontology-based web application that facilitates a contextualized learning process by providing security knowledge through contextual software cases. Through evaluation in pedagogical and software development environments, it is proven to contribute a viable solution to the problem domain. While these results are positive, the innovative context-based artifact benefits not only the domain of software engineering but also other educational fields, such as information security and computer security.
Enhancing Student Engagement: Harnessing “AIED”’s Power in Hybrid Education—A Review Analysis
Authors: Almusaed Amjad , Almssad Asaad , Yitmen Ibrahim , Homod Raad Z.
Published: June 2023

Hybrid learning is a complex combination of face-to-face and online learning. This model combines the use of multimedia materials with traditional classroom work. Virtual hybrid learning is employed alongside face-to-face methods. That aims to investigate using Artificial Intelligence (AI) to increase student engagement in hybrid learning settings. Educators are confronted with contemporary issues in maintaining their students’ interest and motivation as the popularity of online and hybrid education continues to grow, where many educational institutions are adopting this model due to its flexibility, student-teacher engagement, and peer-to-peer interaction. AI will help students communicate, collaborate, and receive real-time feedback, all of which are challenges in education. This article examines the advantages and disadvantages of hybrid education and the optimal approaches for incorporating Artificial Intelligence (AI) in educational settings. The research findings suggest that using AI can revolutionize hybrid education, as it enhances both student and instructor autonomy while fostering a more engaging and interactive learning environment.
International Perspectives on the Dynamics of Pre-Service Early Childhood Teachers’ Digital Competences
Authors: Madsen Siri Sollied , O’Connor Jane , Janeš Aleksander , Klančar Andreja , Brito Rita , Demeshkant Nataliia , Konca Ahmet Sami , Krasin Serhii , Saure Heidi Iren , Gjesdal Beate , Ludgate Shannon , Jwaifell Mustafa , Almuhtadi Reham , Thorvaldsen Steinar
Published: June 2023

Researchers and society in general seem to be conflicted regarding the use of digital technology in early childhood education (ECE). Some are focusing on the positive aspects of using digital technology, while others are critical and position it as an enemy of early childhood practice. It has been argued that digital technology is not appropriate for young children’s cognitive, physical, social and emotional development. Nevertheless, supporting and developing young children’s beginning digital competence is implemented in curricula and teacher education globally. The need for teachers’ professional digital competence (PDC) is increasing according to the development and increased use of digital technology in society as a whole, including in the field of education. The field of research has, to a large extent, been focused on primary and secondary education, and there is a lack of research on PDC in ECE. To gain insight into the dynamics of PDC in ECE, we investigated a range of ECE contexts by including different international perspectives in a comparative study of pre-service early childhood (EC) teachers transitioning to being in-service teachers. The survey was conducted in eight different nations (Norway, Slovenia, Portugal, Poland, Turkey, Ukraine, England and Jordan) and resulted in 772 responses from pre-service teachers in the last year of their education. The paper discusses these international perspectives, considering the differences found between nations. It also investigates the dynamics of PDC, understood in this article as comprising attitudes, skills and knowledge. Following this, it also investigates how these dynamics are affecting the pre-service teachers’ expectations related to their future application of digital tools as teachers to be. The results indicate large differences between nations for both single items and multi-item scales. At the same time, the dynamics of digital practices across nations reveal that attitudes, digital skills and knowledge are statistically strong predictors of pre-service teachers’ future use of educational digital technology (EDT). This indicates both similarities and differences across nations and could serve as insight regarding the development of teacher programmes and the importance of including all aspects when developing pre-service teachers’ PDC. This article, due to its limitation, will not elaborate in depth on contextual differences, and further qualitative research is needed to understand the complexity related to educational culture and practice.
The 3 × 2 Achievement Goals in the Education, Sport, and Occupation Literatures: A Systematic Review with Meta-Analysis
Authors: Lochbaum Marc , Sisneros Cassandra , Kazak Zişan
Published: June 2023

Achievement goal theory has been a dominant motivation framework since the 1980s. The 3 × 2 achievement goal framework emerged in the literature in 2011. We aimed to conduct a systematic review with meta-analysis following the PRISMA guidelines of the 3 × 2 achievement goal research in education, sport, and occupation settings. We retrieved articles from searching EBSCOhost and Google Scholar platforms. Eligible articles contained the 3 × 2 achievement goal in education, sport, or occupation, were published in a peer-reviewed journal, and provided mean data or correlate data. We tested hypotheses concerned with (1) the overall pattern of achievement goal endorsement, (2) achievement goal differences by domain (education, sport) and compulsory nature of the domains or sub-domains, and (3) achievement goal relationships with correlates (e.g., learning strategies, motivations, performance). After screening, 56 articles met all inclusion criteria, providing 58 samples across education (n = 44), sport (n = 10), and occupation (n = 4) settings with 35,031 unique participants from 15 countries. Participants endorsed the task- and self-approach goals more than the counterpart avoidance goals, other-avoidance goals more than other-approach goals, and the intercorrelations and reliability coefficients were acceptable. Minimal impact results from examining within and across study bias statistics. Of importance, the domain (i.e., education, sport) and the compulsory nature of the domain or sub-domains (i.e., primary-secondary education, sport) moderated goal endorsement (group mixed-effects p < 0.05, g values medium to very large). These groupings also moderated the other goal differences. Concerning our correlates analyses, most meta-analyzed correlations among the achievement goals and correlates were small in meaningfulness with the largest correlations (0.30–0.42) between the approach goals merged and the task- and self-approach goals and facilitative learning strategies and desired motivations. In conclusion, the 3 × 2 achievement goals literature is diverse. Furthering the study and application of this model requires overcoming inherent limitations (i.e., consistent response scale sets), teasing out differences between the task- and self-goals, measuring performance outcomes, and cross-cultural collaborations.
Transformation of the Spatial Spectrum of Scattered Radio Waves in the Conductive Equatorial Ionosphere
Authors: Jandieri Giorgi , Tugushi Nika
Published: June 2023

The oblique radio wave incidence on a turbulent equatorial conductive collision plasma layer is considered. The “Compensation Effect” has been discovered by us. A complex refractive index of the equatorial terrestrial ionosphere has been derived for the first time. Second-order statistical moments of the spatial power spectrum (SPS) of scattered radio waves are obtained for the first time using the WKB method, taking into account the asymmetry of the problem: the inclined incidence of the wave on a plasma boundary and the asymmetry of the magneto-ionic parameters. It was established for the first time that a certain direction exists along which the inclined incidence radio wave on a plasma layer and the anisotropy parameters of a magnetoplasma compensate each other. This result will have great practical application in communication. In this case, the SPS of scattered radio waves neither widens nor is its maximum displaced. The behavior of this spectrum versus distance propagated by radio waves in the conductive equatorial ionosphere is analyzed numerically for different penetration angles and anisotropy factors of asymmetric anisotropy electron density irregularities. It was shown that the anisotropy factor of elongated plasmonic structures has a substantial influence on the “Compensation Effect” of scattered ordinary and extraordinary waves penetrating in the conductive collision ionospheric plasma the slab. Numerical calculations are carried out for the anisotropic Gaussian correlation function applying IRI experimental data.
Intelligent Risk Prediction System in IoT-Based Supply Chain Management in Logistics Sector
Authors: Alzahrani Ahmed , Asghar Muhammad Zubair
Published: June 2023

The Internet of Things (IoT) has resulted in substantial advances in the logistics sector, particularly in logistics storage management, communication systems, service quality, and supply chain management. The goal of this study is to create an intelligent supply chain (SC) management system that provides decision support to SC managers in order to achieve effective Internet of Things (IOT)-based logistics. Current research on predicting risks in shipping operations in the logistics sector during natural disasters has produced a variety of unexpected findings utilizing machine learning (ML) algorithms and traditional feature-encoding approaches. This has prompted a variety of concerns regarding the research’s validity. These previous attempts, like many others before them, used deep neural models to gain features without requiring the user to maintain track of all of the sequence information. This paper offers a hybrid deep learning (DL) approach, convolutional neural network (CNN) + bidirectional gating recurrent unit (BiGRU), to lessen the impact of natural disasters on shipping operations by addressing the question, “Can goods be shipped from a source location to a destination?”. The suggested DL methodology is divided into four stages: data collection, de-noising or pre-processing, feature extraction, and prediction. When compared to the baseline work, the proposed CNN + BiGRU achieved an accuracy of up to 94%.