bluuebunny/crossref_metadata_2025 huggingface dataset:
MOCVD of InGaN on ScAlMgO4 on Al2O3 Substrates with Improved Surface Morphology and Crystallinity
Authors: Wang Guangying , Li Yuting , Kirch Jeremy , Han Yizhou , Chen Jiahao , Marks Samuel , Mukhopadhyay Swarnav , Liu Rui , Liu Cheng , Evans Paul G. , Pasayat Shubhra S.
Published: March 2023

ScAlMgO4 (SAM) is a promising substrate material for group III-nitride semiconductors. SAM has a lower lattice mismatch with III-nitride materials compared to conventionally used sapphire (Al2O3) and silicon substrates. Bulk SAM substrate has the issues of high cost and lack of large area substrates. Utilizing solid-phase epitaxy to transform an amorphous SAM on a sapphire substrate into a crystalline form is a cost-efficient and scalable approach. Amorphous SAM layers were deposited on 0001-oriented Al2O3 by sputtering and crystallized by annealing at a temperature greater than 850 °C. Annealing under suboptimal annealing conditions results in a larger volume fraction of a competing spinel phase (MgAl2O4) exhibiting themselves as crystal facets on the subsequently grown InGaN layers during MOCVD growth. InGaN on SAM layers demonstrated both a higher intensity and emission redshift compared to the co-loaded InGaN on GaN on sapphire samples, providing a promising prospect for achieving efficient longer-wavelength emitters.
Initial Experiences of Selective RET Inhibitor Selpercatinib in Adults with Metastatic Differentiated Thyroid Carcinoma and Medullary Thyroid Carcinoma: Real-World Case Series in Korea
Authors: Baek Han-Sang , Ha Jeonghoon , Ha Seunggyun , Bae Ja Seong , Jung Chan Kwon , Lim Dong-Jun
Published: March 2023

Recently, selpercatinib, a highly selective inhibitor of RET receptor tyrosine kinase, has been used for RET-altered thyroid cancer. We present four cases of patients with advanced thyroid cancer who were treated with selpercatinib. The first patient was a 63-year-old male with advanced medullary thyroid cancer (MTC) treated with vandetanib. Six months ago, he had an intracranial hemorrhage and swallowing difficulty. He started selpercatinib with percutaneous endoscopic gastrostomy (PEG). For 11 months, a partial response (PR) was observed stably with PEG administration without any more cardiovascular events. The second patient was a 67-year-old female with advanced MTC treated with vandetatib. After selpercatinib treatment, a PR was observed for most metastatic sites, including choroidal metastasis. The third patient was a 32-year-old female with advanced papillary thyroid cancer (PTC) without history of systematic treatment. For six months, a PR was observed at her metastatic site with manageable adverse events. The last patient was a 59-year-old female with advanced PTC treated with lenvatinib. She suffered from a panic disorder and pleural pain due to metastasis during lenvatinib treatment. After selpercatinib treatment, her pain and panic symptoms were improved. Facing varying clinical obstacles of the real world, selpercatinib safely proved remarkable therapeutic efficacy regardless of previous treatment or metastatic site.
When Theory Meets Practice: Balancing Genetic Diversity and Behaviour When Choosing Founders for a Recently Reintroduced Bison (Bison bison) Herd in Banff National Park, Canada
Authors: Wilson Gregory A. , Fulton Tara L. , Heuer Karsten
Published: March 2023

The tragic decline of plains bison (Bison bison bison) in North America is well known. By the turn of the 20th century, plains bison, once numbering in the tens of millions, were extirpated from the wild in Canada. Banff National Park, AB, Canada, is within the original range of bison in North America, and still contains suitable habitat for the species. In 2017, we used measures of genetic diversity, as well as age and reproductive status, to select 16 plains bison for reintroduction to an unoccupied corner of their former historic range in Banff National Park. However, five of the preferred founders from this genetically diverse group needed to be substituted for less ideal candidates when aggressive behavior was observed, which could have compromised animal welfare during translocation. The level of genetic diversity in the founding population was therefore lower than if all proposed founders had been used, although the difference was not substantial. As expected, adults in this small, reintroduced herd had lower observed heterozygosity and number of alleles than the larger source herd, but expected heterozygosity was higher, likely a result of preferentially choosing individuals with rare alleles. Another substantial contribution to genetic diversity was in unborn fetuses: sired by males that were not translocated, the calves born a few months later provided a boost to the genetic diversity of this small founder herd. Where opportunities allow, the inclusion of pregnant females can significantly increase the genetic diversity of small founder populations. When compared to other founded herds of bison, the techniques described here have ensured that the newly established Banff NP herd is one of the most diverse bison herds in Canada, despite its relatively small number of founders.
Palaeoeconomy and Palaeoenvironment of Halmyris—A Roman Settlement in Southeast Romania: Archaeozoological and Phytolith Evidences
Authors: Stanc Margareta Simina , Bejenaru Luminița , Nuțu George , Mototolea Aurel Constantin , Danu Mihaela
Published: March 2023

Halmyris (Murighiol, Tulcea County, Romania) is one of the most important Roman settlements located in the inferior sector of the Danube Delta, in the easternmost part of Scythia province during the Late Antiquity. Halmyris was the most easterly fort of the Danubian border in Roman times and probably served as a supply centre for the imperial fleet; Roman inscriptions inform on the existence of a ‘mariner’s village’ named vicus classicorum. Given that the written information about this settlement is extremely incomplete, the study of animal and plant remains can answer important questions related to economic life (e.g., human use of biological resources) and the relationship between community and environment. This study contributes to understanding the process of Roman domination in the area (e.g., highlighting the improved type of cattle, brought and reproduced here by the Romans), as well as to the knowledge of environmental changes under anthropic pressure (e.g., animal extinction, such as aurochs). In 2014, extensive archaeological research took place in the extramural area of the fort. During research, a total area of 234 sqm was investigated through five trenches west–east oriented and perpendicular to vallum II but not intersecting with it. Phytolith samples were taken from the habitation levels dated to the 5th–6th centuries AD, and faunal remains were collected from four trenches dated to the 4th–6th centuries AD. Phytolith assemblages from the Halmyris site are composed mainly of grass phytoliths. We noticed important amounts of Elongate dendritic forms and a high proportion of silica skeletons. Phytolith analysis resulting from the processing of 12 samples shows that cereals were a relevant part of the subsistence economy of the site, revealing an important signal of cereal processing. Flax fibers, which are the strongest natural fibers, were also identified in samples from Halmyris. The exploited animal resources are varied, including molluscs, fish, birds, and mammals. Most of the skeletal remains belong to the group of mammals. Animal husbandry represented an important occupation; the identified domestic mammals are cattle, sheep, goat, pig, horse, donkey, and dog. The predominant species were cattle and sheep/goat, both by the number of identified remains and by the minimal number of individuals. Hunting had small importance for the settlement under study, red deer and wild boar having the highest proportion of wild mammals.
Dataset for Spectroscopic, Structural and Dynamic Analysis of Human Fe(II)/2OG-Dependent Dioxygenase ALKBH3
Authors: Kanazhevskaya Lyubov Yu. , Gorbunov Alexey A. , Zhdanova Polina V. , Koval Vladimir V.
Published: March 2023

Fe(II)/2OG-dependent dioxygenases of the AlkB family catalyze a direct removal of alkylated damages in the course of DNA and RNA repair. A human homolog of the E. coli AlkB ALKBH3 protein is able to hydroxylate N1-methyladenine, N3-methylcytosine, and N1-methylguanine in single-stranded DNA and RNA. Due to its contribution to an antitumor drug resistance, this enzyme is considered a promising therapeutic target. The elucidation of ALKBH3’s structural peculiarities is important to establish a detailed mechanism of damaged DNA recognition and processing, as well as to the development of specific inhibitors. This work presents new data on the wild type ALKBH3 protein and its four mutant forms (Y143F, Y143A, L177A, and H191A) obtained by circular dichroism (CD) spectroscopy. The dataset includes the CD spectra of proteins measured at different temperatures and a 3D visualization of the ALKBH3–DNA complex where the mutated amino acid residues are marked. These results show how substitution of the key amino acids influences a secondary structure content of the protein.
Subepidermal Low-Echogenic Band—Its Utility in Clinical Practice: A Systematic Review
Authors: Nicolescu Alin Codrut , Ionescu Sinziana , Ancuta Ioan , Popa Valentin-Tudor , Lupu Mihai , Soare Cristina , Cozma Elena-Codruta , Voiculescu Vlad-Mihai
Published: March 2023

High-frequency ultrasonography (HF-USG) is a relatively new imaging method that allows the evaluation in a non-invasive manner of the skin layers and skin appendages. It is a diagnostic tool with increasing usefulness in numerous dermatological pathologies. High reproducibility, non-invasiveness and short diagnostic time make this method an increasingly used tool in dermatological practice. The subepidermal low-echogenic band is a relatively newly described parameter that seems to be a marker not only of intrinsic and extrinsic skin aging, but also of inflammatory processes taking place at the skin level. This systematic review aims to evaluate the role that SLEB has in the diagnosis and monitoring of the treatment of some inflammatory and non-inflammatory dermatological conditions, as well as its utility as a disease marker.
Recent Advances in Ultrasound Breast Imaging: From Industry to Clinical Practice
Authors: Catalano Orlando , Fusco Roberta , De Muzio Federica , Simonetti Igino , Palumbo Pierpaolo , Bruno Federico , Borgheresi Alessandra , Agostini Andrea , Gabelloni Michela , Varelli Carlo , Barile Antonio , Giovagnoni Andrea , Gandolfo Nicoletta , Miele Vittorio , Granata Vincenza
Published: March 2023

Breast ultrasound (US) has undergone dramatic technological improvement through recent decades, moving from a low spatial resolution, grayscale-limited technique to a highly performing, multiparametric modality. In this review, we first focus on the spectrum of technical tools that have become commercially available, including new microvasculature imaging modalities, high-frequency transducers, extended field-of-view scanning, elastography, contrast-enhanced US, MicroPure, 3D US, automated US, S-Detect, nomograms, images fusion, and virtual navigation. In the subsequent section, we discuss the broadened current application of US in breast clinical scenarios, distinguishing among primary US, complementary US, and second-look US. Finally, we mention the still ongoing limitations and the challenging aspects of breast US.
Predicting Overall Survival with Deep Learning from 18F-FDG PET-CT Images in Patients with Hepatocellular Carcinoma before Liver Transplantation
Authors: Lai Yung-Chi , Wu Kuo-Chen , Chang Chao-Jen , Chen Yi-Jin , Wang Kuan-Pin , Jeng Long-Bin , Kao Chia-Hung
Published: March 2023

Positron emission tomography and computed tomography with 18F-fluorodeoxyglucose (18F-FDG PET-CT) were used to predict outcomes after liver transplantation in patients with hepatocellular carcinoma (HCC). However, few approaches for prediction based on 18F-FDG PET-CT images that leverage automatic liver segmentation and deep learning were proposed. This study evaluated the performance of deep learning from 18F-FDG PET-CT images to predict overall survival in HCC patients before liver transplantation (LT). We retrospectively included 304 patients with HCC who underwent 18F-FDG PET/CT before LT between January 2010 and December 2016. The hepatic areas of 273 of the patients were segmented by software, while the other 31 were delineated manually. We analyzed the predictive value of the deep learning model from both FDG PET/CT images and CT images alone. The results of the developed prognostic model were obtained by combining FDG PET-CT images and combining FDG CT images (0.807 AUC vs. 0.743 AUC). The model based on FDG PET-CT images achieved somewhat better sensitivity than the model based on CT images alone (0.571 SEN vs. 0.432 SEN). Automatic liver segmentation from 18F-FDG PET-CT images is feasible and can be utilized to train deep-learning models. The proposed predictive tool can effectively determine prognosis (i.e., overall survival) and, thereby, select an optimal candidate of LT for patients with HCC.
Assessment of the Carotid Bodies in Magnetic Resonance—A Head-to-Head Comparison with Computed Tomography
Authors: Budynko Lukasz , Nowicki Tomasz K. , Kaszubowski Mariusz F. , Swieton Dominik , Piskunowicz Maciej
Published: March 2023

Objectives: To evaluate carotid body visibility in contrast-enhanced magnetic resonance (MR) studies and to compare the results to contrast-enhanced computed tomography (CT). Methods: Two observers separately evaluated MR and CT examinations of 58 patients. MR scans were acquired with contrast-enhanced isometric T1-weighted water-only Dixon sequence. CT examinations were performed 90 s after contrast agent administration. Carotid bodies’ dimensions were noted and their volumes calculated. To quantify the agreement between both methods, Bland–Altman plots were computed. Receiver operating characteristic (ROC) and its localization-oriented variant (LROC) curves were plotted. Results: Of the 116 expected carotid bodies, 105 were found on CT and 103 on MR at least by a single observer. Significantly more findings were concordant in CT (92.2%) than in MR (83.6%). The mean carotid body volume was smaller in CT (19.4 mm3) than in MR (20.8 mm3). The inter-observer agreement on volumes was moderately good (ICC (2,k) 0.42, p < 0.001), but with significant systematic error. The diagnostic performance of the MR method added up to 88.4% of the ROC’s area under the curve and 78.0% in the LROC algorithm. Conclusions: Carotid bodies can be visualized on contrast-enhanced MR with good accuracy and inter-observer agreement. Carotid bodies assessed on MR had similar morphology as described in anatomical studies.
Super-Resolution of Dental Panoramic Radiographs Using Deep Learning: A Pilot Study
Authors: Mohammad-Rahimi Hossein , Vinayahalingam Shankeeth , Mahmoudinia Erfan , Soltani Parisa , Bergé Stefaan J. , Krois Joachim , Schwendicke Falk
Published: March 2023

Using super-resolution (SR) algorithms, an image with a low resolution can be converted into a high-quality image. Our objective was to compare deep learning-based SR models to a conventional approach for improving the resolution of dental panoramic radiographs. A total of 888 dental panoramic radiographs were obtained. Our study involved five state-of-the-art deep learning-based SR approaches, including SR convolutional neural networks (SRCNN), SR generative adversarial network (SRGAN), U-Net, Swin for image restoration (SwinIr), and local texture estimator (LTE). Their results were compared with one another and with conventional bicubic interpolation. The performance of each model was evaluated using the metrics of mean squared error (MSE), peak signal-to-noise ratio (PNSR), structural similarity index (SSIM), and mean opinion score by four experts (MOS). Among all the models evaluated, the LTE model presented the highest performance, with MSE, SSIM, PSNR, and MOS results of 7.42 ± 0.44, 39.74 ± 0.17, 0.919 ± 0.003, and 3.59 ± 0.54, respectively. Additionally, compared with low-resolution images, the output of all the used approaches showed significant improvements in MOS evaluation. A significant enhancement in the quality of panoramic radiographs can be achieved by SR. The LTE model outperformed the other models.
Laparoscopic Surgery with Concomitant Hernia Repair and Cholecystectomy: An Alternative Approach to Everyday Practice
Authors: Zarogoulidis Paul , Ioannidis Aris , Anemoulis Marios , Giannakidis Dimitrios , Matthaios Dimitris , Romanidis Konstantinos , Sapalidis Konstantinos , Papalavrentios Lavrentios , Kesisoglou Isaak
Published: March 2023

Introduction: Concomitant surgeries have been performed previously in several centers with experience in laparoscopic surgeries. These surgeries are performed in one patient under one operation with anesthesia. Methods: We performed a retrospective unicenter study from October 2021 to December 2021 analyzing patients who underwent laparoscopic hiatal hernia repair with cholecystectomy. We extracted data from 20 patients who underwent hiatal hernia repair together with cholecystectomy. Grouping of data by hiatal hernia type showed 6 type IV hernias (complex hernia), 13 type III hernias (mixed type) and 1 type I hernia (sliding hernia). Out of the 20 cases analyzed, 19 were patients suffering from chronic cholecystitis and 1 patient presented with acute cholecystitis. The average operating time was 179 min. Minimum blood loss was achieved. Cruroraphy was performed in all cases, mesh reinforcement was added in five cases, and fundoplication was performed in all cases, with 3 Toupet, 2 Dor and 15 floppy Nissen fundoplication procedures performed. Fundopexy was routinely performed in cases of Toupet fundoplication. A total of 1 bipolar and 19 retrograde cholecystectomies were performed. Results: All patients had favorable postoperative hospitalization. Patient follow-up took place at 1 month, 3 months and 6 months, with no sign of recurrence of hiatal hernia (anatomical or symptomatic) and no symptoms of postcholecystectomy syndrome. In two patients, we had to perform colostomy. Conclusion: Concomitant laparoscopic hiatal hernia repair and cholecystectomy is safe and feasible.
Distribution of Dental Fluorosis in the Southern Zone of Ecuador: An Epidemiological Study
Authors: Vélez-León Eleonor María , Albaladejo-Martínez Alberto , Ortíz-Ortega Paulina , Cuenca-León Katherine , Armas-Vega Ana , Melo María
Published: March 2023

In recent decades, the increase in fluoride exposure has raised the numbers of dental fluorosis in fluoridated and non-fluoridated communities In Ecuador, but the last national epidemiological study on DF was conducted more than a decade ago. The objective of this cross-sectional descriptive study was to determine the prevalence, distribution and severity of dental fluorosis (DF) using the Dean index in 1606 schoolchildren aged 6 to 12 years from urban and rural environments in provinces that make up the Southern Region of Ecuador. Participants met the inclusion criteria which were age, locality, informed consent document and no legal impediment. The results are presented using percentage frequency measures and chi-square associations. The prevalence of dental fluorosis was 50.1% in the areas of Azuay, Cañar and Morona Santiago, with no significant differences (x2 = 5.83, p = 0.054). The types of DF found most frequently were very mild and mild in all provinces; a moderate degree was more prevalent in Cañar (17%). There was no significant association (p > 0.05) between sex and the presence of dental fluorosis and, with respect to severity, the most frequent degree was moderate at the age of 12 years. The prevalence of dental fluorosis in the area evaluated is high, especially in the light and very light degrees, with a tendency toward moderate levels. It is necessary to carry out studies on the factors that are predisposing to the development of this pathology in the population studied. This research is an update regarding this pathology in Ecuador, so it is concluded that it is necessary to continue developing studies based on the findings obtained, thus contributing to the public health of the country.
5G-NR Physical Layer-Based Solutions to Support High Mobility in 6G Non-Terrestrial Networks
Authors: Pawase Chaitali J. , Chang KyungHi
Published: March 2023

Non-terrestrial network (NTN) systems can offer wide area coverage for applications requiring high mobility, which is expected in the sixth generation (6G) of telecommunication systems. This paper proposes a high-mobility support system based on the 5G-NR physical layer components for NTN connectivity. In this paper, we propose the optimization of 5G-NR numerologies and the impact of various modulation and coding schemes (MCS), 3GPP NR-NTN channel models, and MIMO/beamforming schemes with link-level simulation under pilot-aided-based perfect and DM-RS-based practical channel estimation at stationary UE and high mobility of 500 km/h, respectively. This paper also develops a link-level simulation of the 5G-NR physical downlink shared channel (PDSCH) under the 3GPP NR-NTN tapped delay line (TDL) channel model to support UE mobility up to 500 km/h. The bit error rate (BER), maximum achievable throughput (Mbps), and spectral efficiency (bps/Hz) are analyzed for the 5G-NR-based potential elements to be utilized in the evolution of NTN. Furthermore, the denser DM-RS symbol pattern is proposed for utilization in channel estimation to support high mobility, as simulation results prove their capability of fast decoding while using the front-loaded symbol structure. The simulation results show that the large 5G-NR numerologies, such as 120 kHz and DM-RS-based channel estimation, support the high UE mobility by providing high link reliability and the maximum achievable throughput of 368.832 Mbps and spectral efficiency of 3.68 bps/Hz under 64-QAM for TDL-E (LOS) channel model, which can also be a potential solution to support transonic speed mobility in the NTN of 6G services.
Analysis of Influence of Behavioral Adoption Threshold Diversity on Multi-Layer Network
Authors: Deng Gang , Peng Yuting , Tian Yang , Zhu Xuzhen
Published: March 2023

The same people exhibit various adoption behaviors for the same information on various networks. Previous studies, however, did not examine the variety of adoption behaviors on multi-layer networks or take into consideration this phenomenon. Therefore, we refer to this phenomenon, which lacks systematic analysis and investigation, as behavioral adoption diversity on multi-layered networks. Meanwhile, individual adoption behaviors have LTI (local trend imitation) characteristics that help spread information. In order to study the diverse LTI behaviors on information propagation, a two-layer network model is presented. Following that, we provide two adoption threshold functions to describe diverse LTI behaviors. The crossover phenomena in the phase transition is shown to exist through theoretical derivation and experimental simulation. Specifically, the final spreading scale displays a second-order continuous phase transition when individuals exhibit active LTI behaviors, and, when individuals behave negatively, a first-order discontinuous phase transition can be noticed in the final spreading scale. Additionally, the propagation phenomena might be impacted by the degree distribution heterogeneity. Finally, there is a good agreement between the outcomes of our theoretical analysis and simulation.
Engaging Students in Mathematical Problem Solving with Technology during a Pandemic: The Case of the Tecn@Mat Club
Authors: Jacinto Hélia
Published: March 2023

The COVID-19 pandemic and the requirement for social distancing led to the closure of extracurricular activities that usually involve teamwork and collaboration, such as math clubs. Research on the design and effectiveness of extracurricular mathematical activities that aim to promote student interest and improve mathematical skills is limited, particularly in these challenging times. This exploratory case study examines an online after-school program, the Tecn@Mat Club, aimed at promoting middle grade students’ ability in solving mathematical problems with digital technologies during the pandemic. Based on document analysis, observation of the club sessions, questionnaires, and interviews with the participants (students and a mathematics education expert), this research documents the design and implementation of the Tecn@Mat Club, as well as its participants’ experiences and perspectives regarding the activity in which they engaged. The main results show the feasibility of adapting in-person, after-school math activities for an online setting, engaging middle grade students in mathematical problem-solving with technology by providing moderate mathematical challenges and promoting collaborative work. Results of a SWOT analysis (the acronym for strengths, weaknesses, opportunities, threats) allow for the identification of the key features to preserve and challenges to overcome in future replications of the club. Limitations of this study and future research directions are discussed.
A Multi-Informant Approach Testing an Expanded Home Numeracy Mode
Authors: Bonifacci Paola , Compiani Diego , Ravaldini Viola , Peri Benedetta , Affranti Alexandra , Tobia Valentina
Published: March 2023

The role of home numeracy activities in the development of numeracy skills is receiving growing interest, although some mixed results highlight the need to consider models that include different contextual variables. The present study was aimed at investigating, using a multi-method and multi-informant approach, how parents’ educational levels, parents’ numerical attitudes, home numeracy, and expectations toward their offspring’s numeracy attitudes concurrently predict children’s early numeracy abilities as measured with early numeracy tasks and through teachers’ evaluations. The sample includes 430 preschoolers, their parents, and 56 teachers. The children’s early numeracy competence was assessed using digit recognition and digit-quantity association tasks and via a proxy-report questionnaire administered to their teachers. The parents were then administered a questionnaire investigating their educational levels, home numeracy activities, math attitudes, and expectations toward their child’s numeracy ability. The results of the structural equation models revealed that both children’s performance in numeracy tasks and the teachers’ evaluation of their math skills were directly predicted by their parents’ educational levels. In contrast, the parents’ math attitudes were indirect predictors via the mediation of home numeracy. These results contribute to understanding the relationships between the investigated environmental variables and the children’s early math skills. Additionally, the implications for early family-based interventions are discussed.
Antecedents Predicting Students’ Active Use of Learning Strategies in Schools of Low SES Context within the Framework of Self-Determination Theory
Authors: Brandisauskiene Agne , Buksnyte-Marmiene Loreta , Cesnaviciene Jurate
Published: March 2023

Meeting a student’s autonomy, competence, and relatedness needs is one of the conditions to help him/her learn effectively. In this study, we aim to understand how teacher support (relationship with students, their autonomy support) and general classroom atmosphere (equity, relationships between students) predict students’ learning; that is, the learning strategies they use. Data were collected from 24 secondary schools in 9 municipalities in Lithuania with low SES (socioeconomic status) contexts (N = 632 students; 330 girls and 302 boys). The following instruments were used in the research: What Is Happening in this Class? (WIHIC) questionnaire, a short form of the Learning Climate Questionnaire (LCQ), and the Learning Strategies scale. The results showed that girls use learning strategies statistically significantly more actively than boys. Students’ use of learning strategies in a sample of both boys and girls are predicted by perceived teacher support, student cohesiveness, and perceived autonomy support. Therefore, responding to the relatedness and autonomy needs of students from low SES is very significant because it can increase their engagement in the learning process. The difference found, that equity is a significant predictor of learning strategies in the sample of girls, but not in boys, encourages further research and interpretation of such research results.
Li-Ion Battery Cathode Recycling: An Emerging Response to Growing Metal Demand and Accumulating Battery Waste
Authors: Akhmetov Nikita , Manakhov Anton , Al-Qasim Abdulaziz S.
Published: March 2023

Due to the accumulation of waste mobile devices, the increasing production of electric vehicles, and the development of stationary energy storage systems, the recycling of end-of-life Li-ion batteries (EOL LIBs) has recently become an intensively emerging research field. The increasing number of LIBs produced accelerates the resources’ depletion and provokes pollution. To prevent this, the global communities are concerned with expanding and improving the LIBs recycling industry, whose biggest problems are either large gaseous emissions and energy consumption or toxic reagents and low recycling yields. These issues are most likely solvable by upgrading or changing the core recycling technology, introducing effective benign chemicals, and reducing cathode losses. In this review, we analyze and discuss various LIB recycling approaches, emphasizing cathode processing. After a brief introduction (LIB’s design, environmental impact, commercialized processes), we discuss the technological aspects of LIB’s pretreatment, sorting and dissolving of the cathode, separation of leached elements, and obtaining high-purity materials. Covering the whole LIB recycling line, we analyze the proven and emerging approaches and compare pyrometallurgy, hydrometallurgy, and cathode’s direct restoration methods. We believe that the comprehensive insight into the LIB recycling technologies made here will accelerate their further development and implementation in the large-scale battery industry.
An Improved Sparrow Algorithm Based on Small Habitats in Cooperative Communication Power Allocation
Authors: Chen Guangjiao , Chen Guifen
Published: March 2023

To solve the power allocation problem of multiple relays in cooperative communication, a sparrow improvement algorithm based on small habitats is proposed. First, the small-habitat rule increases the diversity of the energy classification of communication nodes. The problem of the premature convergence of the algorithm is solved. Subsequently, the joint jump rule is designed to replace the local search rule, and the local search rule of the sparrow algorithm is modified to avoid the local wandering phenomenon. The improved search method solves the local solution problem of the most available function. Lastly, a validation experiment of the performance of the algorithm is carried out according to the IEEE CEC 2017 benchmark document set. The simulation verifies the practicality of various algorithms. The maximum evaluation number (max FE) of the objective function is calculated to compare the performance of various algorithms. The experimental results show that the improved algorithm can increase the diversity of species. The multi-point search capability and global merit search capability are improved. Additionally, the convergence speed and computational accuracy of the algorithm are improved. The results show that the improved method is effective in controlling power in collaborative communication. The energy control algorithm has some practicality. The Friedman and Wilcoxon test criteria are applied and the convergence speed and computational accuracy of the improved algorithm are shown to be higher than those of other algorithms. This indicates that the improved power control method has some practicality in collaborative communication.
An Innovative Tool to Measure Employee Performance through Customer Satisfaction: Pilot Research Using eWOM, VR, and AR Technologies
Authors: Legman Ioan-David , Gabor Manuela Rozalia , Kardos Mihaela
Published: March 2023

Recent research reflects the assessment of customer satisfaction from different perspectives, an important aspect in all sectors that must be expressed in measurable parameters of organization performance. By reviewing the literature, we noticed the lack of a specific indicator to quantify the tripartite relation: customer satisfaction—employee performance—company performance. Therefore, based on Six Sigma and Lean Six Sigma methods, the paper introduces an innovative measurement tool named the Spc indicator (The Assessment System of Employee Performance according to Customer Satisfaction) and the related implementation methodology (named ITA). The aim of the paper is to implement an innovative tool to improve the efficiency of employee performance assessment systems in relation to company performance in services and industry sectors through customer satisfaction assessment. By using AR and VR as implementation technologies, our present results extend and compare the results from other pilot research made by authors in the e-commerce sector. The results point out that mystery shoppers and electronic word-of-mouth (eWOM) applied in e-commerce are more efficient than AR and VR technologies applied in services and industry, as reflected in the company’s performance. Furthermore, customer–employee interactions and communications with eWOM in e-commerce are more efficient than WOM used in services and industry. This paper contains both theoretical and practical contributions by offering a new, short-time innovative tool for the continuous improvement of the company with applications in different fields.
Transmission Performance of Halbach Array Cylindrical Permanent Magnet Governor
Authors: Zhu Yonglong , Wang Hai , Li Henian , Yang Chunlai , Gui Jingsong
Published: March 2023

A novel cylinder permanent magnet governor (CPMG) with Halbach segmentation is proposed in this paper. In order to improve the transmission performance of the CPMG, different permanent magnet (PM) arrangement methods are adopted. To achieve a fair comparison result, all the PMs are of the same size. The main magnetic fluxes are considered to obtain a comprehensive equivalent magnetic circuit model of the CPMG with Halbach array and analytical output torque that is calculated. The analytical method of transmitted torque for CPMG is then presented. Additionally, the effect of the average output torque of CPMG under parameters of the thickness of the copper rings, the slip rate and the effective coupling of the copper rings are investigated. Finally, the prototype platform is ready for testing on the field. The results were consistent with the results of the simulation, and the error was kept within the range of 5%. This research can provide a theoretical and practical reference for the optimal design of the transmission characteristic of CPMG.
Keyword-Aware Transformers Network for Chinese Open-Domain Conversation Generation
Authors: Zhou Yang , Zhi Chenjiao , Xu Feng , Cui Weiwei , Wang Huaqiong , Qin Aihong , Chen Xiaodiao , Wang Yaqi , Huang Xingru
Published: March 2023

The open-domain conversation generation task aims to generate contextually relevant and informative responses based on a given conversation history. A critical challenge in open-domain dialogs is the tendency of models to generate safe responses. Existing work has often incorporated keyword information in the conversation history for response generation to relieve this problem. However, these approaches interact weakly between responses and keywords or ignore the association between keyword extraction and conversation generation. In this paper, we propose a method based on a Keyword-Aware Transformers Network (KAT) that can fuse contextual keywords. Specifically, the model enables keywords and contexts to fully interact with responses for keyword semantic enhancement. We jointly model the keyword extraction task and the dialog generation task in a multi-task learning fashion. Experimental results of two Chinese open-domain dialogue datasets showed that our proposed model outperformed the methods in both semantic and non-semantic evaluation metrics, improving Coherence, Fluency, and Informativeness in manual evaluation.
A Survey on Web Application Penetration Testing
Authors: Altulaihan Esra Abdullatif , Alismail Abrar , Frikha Mounir
Published: March 2023

Websites are becoming increasingly effective communication tools. Nevertheless, web applications are vulnerable to attack and can give attackers access to sensitive information or unauthorized access to accounts. The number of vulnerabilities in web applications has increased dramatically over the past decade. Many are due to improper validation and sanitization of input. Identifying these vulnerabilities is essential for developing high-quality, secure web applications. Whenever a website is released to the public, it is required to have had penetration testing to a certain standard to ensure the security of the information. Application-level security vulnerability detection is possible for many commercial and open-source applications. However, developers are curious about which tools detect security vulnerabilities and how quickly they do so. The purpose of this study is to discuss penetration testing and how it can be implemented. This paper also explores the hazards and vulnerabilities associated with the web environment as well as the protective measures that can be taken. In addition, a comprehensive review and comparison of common web penetration testing tools is provided. The aim of this paper is to help web penetration testers choose a technology that is optimal for their requirements. The paper also sets out to guide and provide recommendations to users for choosing the best web penetration test tool and increasing their awareness of secure web environments. The study results indicate that not all web penetration testing tools offer the same features and that combining analysis tools can provide detailed information about web vulnerabilities.
Modular Battery Emulator for Development and Functional Testing of Battery Management Systems: Hardware Design and Characterization
Authors: Verani Alessandro , Di Rienzo Roberto , Nicodemo Niccolò , Baronti Federico , Roncella Roberto , Saletti Roberto
Published: March 2023

Battery Management Systems are essential for safe and effective use of Lithium-Ion batteries. The increasing complexity of the control and estimation algorithms requires deeper functional testing and validation phases of BMSs. However, the use of real batteries in such phases leads to hazards and safety risks. Battery emulators and the Hardware-in-the-Loop approach can instead speed-up and increase the safety of the functional testing and algorithm validation phases. This work describes the design and the characterization of a low-cost modular multi-cell battery emulator which provides a complete emulation of cell voltage, temperature, and current. This platform can be used to carry out Hardware-in-the-Loop tests on custom and commercial Battery Management Systems. The paper describes the platform design constraints derived from the most diffused Battery Management System architectures, the main design and implementation choices, and the platform characterization results. The proposed emulation platform is compared with literature and commercial ones showing a very good trade-off between performance and cost. This characteristic makes it appealing for small-size laboratories that develop and test Battery Management Systems. The project has therefore been made available to the scientific community as a freely downloadable open hardware platform.
SODAS: Smart Open Data as a Service for Improving Interconnectivity and Data Usability
Authors: Won Heesun , Han Jiwoo , Gil Myeong-Seon , Moon Yang-Sae
Published: March 2023

In this study, we proposed Smart Open Data as a Service (SODAS) as a new open data platform based on the international standards Data Catalog Vocabulary (DCAT) and Comprehensive Knowledge Archive Network (CKAN) to facilitate the release and sharing of data. We first analyze the five problems in the legacy CKAN and then draw up corresponding solutions through three core strategies: CKAN expansion, DCATv2 support, and extendable DataMap. We then define four components and nine function blocks of SODAS for each core strategy. As a result, SODAS drives Open Data Portal, Open Data Reference Model, DataMap Publisher, and Analytics and Development Environment (ADE) Provisioning for connecting the defined function blocks. We confirm that each function works correctly through the SODAS Web portal, and then we apply SODAS to actual data distribution sites to prove its efficiency and practical use. SODAS is the first open data platform that provides secure interoperability between heterogeneous platforms based on international standards, and it enables domain-free data management with flexible metadata.
Security Quantification of Container-Technology-Driven E-Government Systems
Authors: Mondal Subrota Kumar , Tan Tian , Khanam Sadia , Kumar Keshav , Kabir Hussain Mohammed Dipu , Ni Kan
Published: March 2023

With the rapidly increasing demands of e-government systems in smart cities, a myriad of challenges and issues are required to be addressed. Among them, security is one of the prime concerns. To this end, we analyze different e-government systems and find that an e-government system built with container-based technology is endowed with many features. In addition, overhauling the architecture of container-technology-driven e-government systems, we observe that securing an e-government system demands quantifying security issues (vulnerabilities, threats, attacks, and risks) and the related countermeasures. Notably, we find that the Attack Tree and Attack–Defense Tree methods are state-of-the-art approaches in these aspects. Consequently, in this paper, we work on quantifying the security attributes, measures, and metrics of an e-government system using Attack Trees and Attack–Defense Trees—in this context, we build a working prototype of an e-government system aligned with the United Kingdom (UK) government portal, which is in line with our research scope. In particular, we propose a novel measure to quantify the probability of attack success using a risk matrix and normal distribution. The probabilistic analysis distinguishes the attack and defense levels more intuitively in e-government systems. Moreover, it infers the importance of enhancing security in e-government systems. In particular, the analysis shows that an e-government system is fairly unsafe with a 99% probability of being subject to attacks, and even with a defense mechanism, the probability of attack lies around 97%, which directs us to pay close attention to e-government security. In sum, our implications can serve as a benchmark for evaluation for governments to determine the next steps in consolidating e-government system security.
Unmanned-Aircraft-System-Assisted Early Wildfire Detection with Air Quality Sensors
Authors: Rjoub Doaa , Alsharoa Ahmad , Masadeh Ala’eddin
Published: March 2023

Numerous hectares of land are destroyed by wildfires every year, causing harm to the environment, the economy, and the ecology. More than fifty million acres have burned in several states as a result of recent forest fires in the Western United States and Australia. According to scientific predictions, as the climate warms and dries, wildfires will become more intense and frequent, as well as more dangerous. These unavoidable catastrophes emphasize how important early wildfire detection and prevention are. The energy management system described in this paper uses an unmanned aircraft system (UAS) with air quality sensors (AQSs) to monitor spot fires before they spread. The goal was to develop an efficient autonomous patrolling system that detects early wildfires while maximizing the battery life of the UAS to cover broad areas. The UAS will send real-time data (sensor readings, thermal imaging, etc.) to a nearby base station (BS) when a wildfire is discovered. An optimization model was developed to minimize the total amount of energy used by the UAS while maintaining the required levels of data quality. Finally, the simulations showed the performance of the proposed solution under different stability conditions and for different minimum data rate types.
Software-Defined Radio Implementation and Performance Evaluation of Frequency-Modulated Antipodal Chaos Shift Keying Communication System
Authors: Aboltins Arturs , Tihomorskis Nikolajs
Published: March 2023

This paper is devoted to software-defined radio (SDR) implementation of frequency modulated antipodal chaos shift keying (FM-ACSK) transceiver and presents results of prototype testing in real conditions. This novel and perspective class of spread-spectrum communication systems employs chaotic synchronization for the acquisition and tracking of the analog chaotic spreading code and does not need resource-demanding cross-correlation. The main motivation of the given work is to assess the performance of FM-ACSK in real conditions and demonstrate that chaotic synchronization can be considered an efficient spread-spectrum demodulation method. The work focuses on the real-time implementation aspects of the modulation-demodulation algorithms, forward error correction (FEC) and symbol timing synchronization approach in MATLAB Simulink. The performance of the presented prototype is assessed via extensive testing, which includes measurement of bit error ratio (BER) in single-user and multi-user scenarios, estimation of carrier frequency offset (CFO) impact and image transmission over-the-air between two independent sites and comparison with classical frequency hopping spread spectrum (FHSS). The paper shows that the presented class of the spread spectrum communication systems demonstrates good performance in low signal-to-noise ratio (SNR) conditions and in terms of BER significantly outperforms the classic spread-spectrum modulation schemes which employ correlation-based detection.
A Next POI Recommendation Based on Graph Convolutional Network by Adaptive Time Patterns
Authors: Wu Jiang , Jiang Shaojie , Shi Lei
Published: March 2023

Users’ activities in location-based social networks (LBSNs) can be naturally transformed into graph structural data, and more advanced graph representation learning techniques can be adopted for analyzing user preferences, which benefits a variety of real-world applications. This paper focuses on the next point-of-interest (POI) recommendation task in LBSNs. We argue that existing graph-based POI recommendation methods only consider user preferences from several individual contextual factors, ignoring the influence of interactions between different contextual information. This practice leads to the suboptimal learning of user preferences. To address this problem, we propose a novel method called hierarchical attention-based graph convolutional network (HAGCN) for the next POI recommendation, a technique which leverages graph convolutional networks to extract the representations of POIs from predefined graphs via different time patterns and develops a hierarchical attention mechanism to adaptively learn user preferences from the interactions between different contextual data. Moreover, HAGCN uses a dynamic preference estimation to precisely learn user preferences. We conduct extensive experiments on real-world datasets to evaluate the performance of HAGCN against representative baseline models in the field of next POI recommendation. The experimental results demonstrate the superiority of our proposed method on the next POI recommendation task.