bluuebunny/crossref_metadata_2025 huggingface dataset:
Uncovering CWE-CVE-CPE Relations with Threat Knowledge Graphs
Authors: Shi Zhenpeng , Matyunin Nikolay , Graffi Kalman , Starobinski David
Published: January 2024

Security assessment relies on public information about products, vulnerabilities, and weaknesses. So far, databases in these categories have rarely been analyzed in combination. Yet, doing so could help predict unreported vulnerabilities and identify common threat patterns. In this article, we propose a methodology for producing and optimizing a knowledge graph that aggregates knowledge from common threat databases (CVE, CWE, and CPE). We apply the threat knowledge graph to predict associations between threat databases, specifically between products, vulnerabilities, and weaknesses. We evaluate the prediction performance both in closed world with associations from the knowledge graph and in open world with associations revealed afterward. Using rank-based metrics (i.e., Mean Rank, Mean Reciprocal Rank, and Hits@N scores), we demonstrate the ability of the threat knowledge graph to uncover many associations that are currently unknown but will be revealed in the future, which remains useful over different time periods. We propose approaches to optimize the knowledge graph and show that they indeed help in further uncovering associations. We have made the artifacts of our work publicly available.
Flow Mechanics in Ablative Thermal Protection Systems
Authors: Mansour Nagi N. , Panerai Francesco , Lachaud Jean , Magin Thierry
Published: January 2024

Ablative thermal protection systems have experienced renewed interest in the past decade owing to the retirement of NASA's Space Shuttle fleet and the US presidential mandate to develop technologies that enable humans to explore space beyond low Earth orbit. Blunt body architecture for spacecraft and the use of ablators for thermal protection systems returned as the primary choice in mission planning. This review addresses current progress in modernizing predictive tools for ablative material response. Current theory development leverages progress made in the theory of flows in porous media. This development, combined with progress in experimental techniques and high-end computing, is enabling the development of 3D macroscale models with realistic closure coefficients derived from direct numerical simulations of 3D microscale geometries of actual materials. While flight data quantifying ablative material response remain sparse, the next decade will be one of exploration in which heatshield instrumented spacecraft will provide crucial flight data for refining and validating closure models.
Defect-Enhanced Lithium Storage Performance of Nanostructured Mesoporous LiFePO4 for a High-Power Lithium-Ion Battery
Authors: Law Markas , Lee Hwang Sheng , Ramar Viswanathan , Balaya Palani
Published: January 2024

Mesoporous materials have received growing interest, particularly as electrode materials for lithium-ion battery applications since they provide short transportation length for Li ion and electrons, and favour electrolyte wettability. Such unique features are highly beneficial for improving the electrochemical performance of olivine LiFePO4 as this material has intrinsically low electronic and ionic conductivities, which otherwise would affect the storage performance. In addition, this sluggish kinetic brings about huge polarisation specifically at high current rates, resulting in poor energy efficiency. In order to overcome such kinetic issues, we present here a facile soft template-solvothemal method to synthesise mesoporous LiFePO4. Such mesoporous LiFePO4 is made of well interconnected nanograins (20–30 nm) which exhibits excellent storage performance and long-term cycling stability. In particular, the material shows improved storage performance at high rates with significantly less polarisation and clear signature of voltage plateaus for both Li ion insertion-extraction processes. In comparison with the LiFePO4 synthesized by the soft template method, the mesoporous LiFePO4 demonstrates excellent storage performance. This is attributed to the 2-D diffusion of both Li ions and electrons along b- and c-axes consistent with the 2-D Li ions transport reported previously for LiFePO4 single crystal.
miR-26a-5p Attenuates Oxidative Stress and Inflammation in Diabetic Retinopathy through the USP14/NF-κB Signaling Pathway
Authors: Bian Jie , Ge Weizhong , Jiang Zhengmei
Published: January 2024

Purpose. Diabetic retinopathy (DR) is an ocular disease caused by diabetes and may lead to vision impairment and even blindness. Oxidative stress and inflammation are two key pathogenic factors of DR. Recently, regulatory roles of different microRNAs (miRNAs) in DR have been widely verified. miR-26a-5p has been confirmed to be a potential biomarker of DR. Nevertheless, the specific functions of miR-26a-5p in DR are still unclear. Methods. Primary cultured mouse retinal Müller cells in exposure to high glucose (HG) were used to establish an in vitro DR model. Müller cells were identified via morphology observation under phase contrast microscope and fluorescence staining for glutamine synthetase. The in vivo animal models for DR were constructed using streptozotocin-induced diabetic C57BL/6 mice. Western blotting was performed to quantify cytochrome c protein level in the cytoplasm and mitochondria of Müller cells and to measure protein levels of glial fibrillary acidic protein (GFAP), ubiquitin-specific peptidase 14 (USP14), as well as factors associated with NF-κB signaling (p-IκBα, IκBα, p-p65, and p65) in Müller cells or murine retinal tissues. ROS production was detected by CM-H2DCFDA staining, and the concentration of oxidative stress markers (MDA, SOD, and CAT) was estimated by using corresponding commercial kits. Quantification of mRNA expression was conducted by RT-qPCR analysis. The concentration of proinflammatory factors (TNF-α, IL-1β, and IL-6) was evaluated by ELISA. Hematoxylin-eosin staining for murine retinal tissues was performed for histopathological analysis. Immunofluorescence staining was conducted to determine NF-κB p65 nuclear translocation in Müller cells. Furthermore, the interaction between miR-26a-5p and USP14 was verified via the luciferase reporter assays. Results. HG stimulation contributed to Müller cell dysfunction by inducing inflammation, oxidative injury, and mitochondrial damage to Müller cells. miR-26a-5p was downregulated in Müller cells under HG condition, and overexpression of miR-26a-5p relieved HG-induced Müller cell dysfunction. Moreover, miR-26a-5p targeted USP14 and inversely regulated USP14 expression. Additionally, HG-evoked activation of NF-κB signaling was suppressed by USP14 knockdown or miR-26a-5p upregulation. Rescue assays showed that the protective impact of miR-26a-5p upregulation against HG-induced Müller cell dysfunction was reversed by USP14 overexpression. Furthermore, USP14 upregulation and activation of NF-κB signaling in the retinas of DR mice were detected in animal experiments. Injection with miR-26a-5p agomir improved retinal histopathological injury and weakened the concentration of proinflammatory cytokines and oxidative stress markers in the retinas of DR mice. Conclusion. miR-26a-5p inhibits oxidative stress and inflammation in DR progression by targeting USP14 and inactivating the NF-κB signaling pathway.
Clinical Significance and Functional Insights of Tesmin in Hepatocellular Carcinoma
Authors: Cao Lijun , Zhang Lin , Liu Siyu , Wang Xue
Published: January 2024

Background. Tesmin, a 60 kDa protein encoded by the metallothionein-like 5 (MTL5) gene, plays a vital role in spermatogenesis and oogenesis. Recent research has unveiled its potential involvement in malignancies, although its impact on HCC remains poorly understood. Methods. In this study, we sought to elucidate the clinical significance of tesmin in HCC patients. We investigated the relationship between tesmin expression and the prognosis of individuals with hepatocellular carcinoma (HCC), as well as its potential role in tumor proliferation and invasion. Immunohistochemistry (IHC) was employed to assess the expression of tesmin in HCC tissues. Chi-square tests were conducted to analyze the correlation between tesmin expression and various clinicopathological features among HCC patients. For survival analysis, we employed the Kaplan–Meier method and conducted Cox regression analyses. To investigate the functional role of tesmin, we utilized shRNA constructs for transfection-mediated knockdown. Proliferation was assessed using the CCK-8 assay, and invasive capability was determined through Matrigel Transwell assays. Results. IHC results indicated that tesmin expression was prominently observed in cancerous tissue. Notably, we observed a significant association between tesmin expression and tumor stage and invasion in HCC patients from both our medical center and TCGA dataset. Survival analysis further revealed that tesmin expression emerged as an independent prognostic factor for overall survival among individuals with HCC. Furthermore, cellular experiments demonstrated that knockdown of tesmin led to decreased proliferation and invasion of HCC cells. Conclusions. Our findings suggest that tesmin may serve as a novel prognostic marker for HCC, highlighting its potential as a target for further research into HCC treatment. Additionally, the functional experiments support the notion that tesmin may participate in promoting the proliferation and invasion of HCC cells, warranting further investigations into its mechanistic involvement in HCC progression.
Impact of Childhood Cancer on Family Functioning and Family Quality of Life in the Western Region of Saudi Arabia
Authors: Omer Tagwa Yousif
Published: January 2024

Background. Childhood cancer affects families and friends and causes lifestyle changes that become overwhelming for them. Childhood cancer may cause decreased physical, emotional, and social health‐related quality of life (QOL). Childhood cancer may cause strain on the financial status of the family and shape their coping strategy to the disease. The extent of the impact of childhood cancer on families is associated with several demographic characteristics of the family such as diagnosis, phase of treatment, and parent’s educational level, employment, and marital status of the parents. Objectives. The objective of this study was to explore the impact of childhood cancer on family functioning and family quality of life (QOL) in the Western Region of Saudi Arabia. Methods. This study was a quantitative, randomized, cross‐sectional study. 187 participants were randomly selected from the population of parents whose children have cancer and treated at Princess Noorah Oncology Center in King Abdulaziz Medical City, Jeddah. A survey was used to collect data for this study. Healthcare and social systems may have to consider the impact of childhood cancer in the care plans of the patients. Result. Leukemia represents the highest disease prevalence followed by brain tumor. The highest score of the impact on the family survey was familial social concerns domains followed by financial burden with mean scores of 3.59 (98.8%) and 3.56 (98.0%), respectively. Then, mastery domain mean score is 3.43 (85.8%) and finally personal strain with mean score of 3.21 (980.3%). The QOL of the family results indicated that the highest was physical/material well‐being with mean score of 3.84 (76.8%) and family interaction with mean score of 3.82 (76.4%), followed by emotional well‐being with mean score of 3.54 (70.8%) and parenting with mean score of 3.53 (70.6.%). Significant differences were found between the overall scales of QOL and the scale of impact on the family and some demographic characteristics of children and their parents. Conclusions. Childhood cancer has a substantial effect on family functioning and the family’s QOL. In addition, both were significantly associated with some demographic characteristics of the child and his parents.
Clinical Characteristics of Basal Cell Carcinomas of the Scrotum: An Institutional Retrospective Review
Authors: Duan Qiuyan , Lou Yangfeng , Yang Longfei , Zhou Peng
Published: January 2024

Objective. To analyse the clinical and pathologic features, discuss therapeutic strategies, and possibly cause and identify prognostic factors of scrotal basal cell carcinoma (BCC) in Chinese patients. Materials and Methods. Between January 2012 and December 2022, 12 patients with scrotal BCC were diagnosed and treated at our institution. A review was conducted based on the clinical characteristics, pathology slides, and tissues of these patients. Results. The median patient age was 69.26 ± 11.23 years. The skin lesions presented as red papules, blue‐grey polypoid nodules, erythematous patches, brownish plaques, and so on. All patients were treated using wide excision, but the margins varied from 0.5 cm to 2 cm. HPV infection was checked in all lesions, with 4 out of 12 testing positive for P16 and 1 for HPV16 DNA. We found mottled positive expression of P16 in the cytoplasm and membrane. One patient developed left inguinal lymph node metastasis and was successfully treated using bilateral inguinal lymphadenectomy. The rest recovered well without relapse. Conclusions. BCC of the scrotum is rare, but long‐term surveillance is recommended for BCC patients, and whether genital HPV infection is a noteworthy feature for these patients remains under investigation.
Thermal Comfort Model Established by Using Machine Learning Strategies Based on Physiological Parameters in Hot and Cold Environments
Authors: Ho Tseng-Fung , Tsai Hsin-Han , Chuang Chi-Chih , Lee Dasheng , Huang Xi-Wei , Chen Hsiang , Cheng Chin–Chi , Kuo Yaw-Wen , Chou Hsin-Hung , Hsiao Wei-Han , Yang Ching Hsu , Li Yung-Hui
Published: January 2024

The air‐conditioning systems have become an indispensable part of our daily life for keeping the quality of life. However, to improve the thermal comfort and reduce energy consumption is crucial to use the air conditioners effectively with rapid development of artificial intelligence technology. This study explored the correlation between the response of human physiological parameters and thermal sensation voting (TSV) to evaluate the comfort level among various cold and hot stimulations. The variations of the three physiological parameters, which were body surface temperature, skin blood flow (SBF), and sweat area on the skin surface, and TSV values were all positively correlated with the stimulation amount under the stimulation of cold wind, hot wind, and heat radiation, but the relationship was not completely linear. Among the three physiological parameters, the forehead skin temperature has the closest relationship with TSV, followed by the SBF and sweat. Among three stimulations, the cold wind stimulation causes the closest relationship between TSV and forehead temperature, followed by the radiation and hot wind stimulations. Through three different machine learning models, namely, random forest (RF) model, support vector machine (SVM) model, and neural network (NN) model, the stimulation of cold wind, hot wind, and heat radiation was applied to investigate the variation of the three physiological parameters as the input of the models. Moreover, the models were evaluated and verified by TSV. The results revealed that among the three different machine learning methods, RF had the best accuracy. The established thermal comfort models can predict the real‐time user’s thermal comfort feeling, so that air‐conditioning equipment’s performance can be optimized to create a healthy and energy‐saving comfortable environment.
Una década en Chile: Análisis de homicidios, abusos sexuales y robos con intimidación desde 2010 a 2022
Authors: Crespo Fernando , Lay Jara Cristi´án
Published: January 2024

El grueso de los actos delictivos que preocupan a la ciudadanía se enmarca dentro de lo que se denomina Delitos de Mayor Connotación Social: que agrupa ilícitos que mezclan alto nivel de denuncia y preocupación social, subdivididos entre DMCS contra la persona (robo con violencia e intimidación, robo por sorpresa, hurto y lesiones) y DMCS contra la propiedad (robo con fuerza en la vivienda, robos o hurto de vehículos y robos o hurtos). Continuar leyendo...
Table S4 from Dietary Folate and Cofactors Accelerate Age-dependent p16 Epimutation to Promote Intestinal Tumorigenesis
Authors: Yang Li , Peery Robert C. , Farmer Leah M. , Gao Xia , Zhang Yiqun , Creighton Chad J. , Zhang Lanjing , Shen Lanlan
Published: January 2024

Supplementary Table S4 shows 18 differentially expressed metabolites in tumor samples induced by dietary supplementation.
Table S3 from Dietary Folate and Cofactors Accelerate Age-dependent p16 Epimutation to Promote Intestinal Tumorigenesis
Authors: Yang Li , Peery Robert C. , Farmer Leah M. , Gao Xia , Zhang Yiqun , Creighton Chad J. , Zhang Lanjing , Shen Lanlan
Published: January 2024

Supplementary Table S3 shows 25 differentially expressed metabolites in serum induced by dietary supplementation.
Table S2 from Dietary Folate and Cofactors Accelerate Age-dependent p16 Epimutation to Promote Intestinal Tumorigenesis
Authors: Yang Li , Peery Robert C. , Farmer Leah M. , Gao Xia , Zhang Yiqun , Creighton Chad J. , Zhang Lanjing , Shen Lanlan
Published: January 2024

Supplementary Table S2 shows 78 differentially expressed metabolites in liver induced by dietary supplementation.
HPA1-29w Genotyping and the Foundation for the Platelet Apheresis Registry in Jiangsu Province of China by MassARRAY Spectrometry
Authors: Dai Xin , Liu Chengcheng , Chen Rong , Jiang Ting , Zhang Ruoyang , Feng Chenchen , Liu Taixiang , LÜ Hong , Liang Wenbiao
Published: January 2024

Introduction: This study aimed to investigate the allele frequencies of the human platelet antigens (HPA) HPA-1-29w system in Jiangsu (China) and establish the platelet apheresis registry in blood donors. Methods: HPA genotyping was performed using the MassARRAY iPLEX® platform. Allele and genotype frequencies were estimated by direct counting and tested for Hardy-Weinberg equilibrium. The transfusion mismatch probability was calculated for every HPA specificity. Results: The HPA allele frequencies in the Jiangsu Han population of HPA-1b, -2b, -3b, -4b, -5b, -6b, -11b, -15b, and -21b were 0.0055, 0.0530, 0.4116, 0.0015, 0.0155, 0.0162, 0.0003, 0.4683, and 0.0070, respectively, in which a heterozygote of HPA-11a/b was first detected in China. Only allele a was detected for HPA-7-10w,-12-14w,-16-20w, and -22-29w quasi-systems. The highest mismatch rate of HPA genes in 1,640 platelet donors was the HPA-15 system, followed by the HPA-3 system with a rate of 37.4% and 36.71%, respectively. Conclusion: China’s largest-scale platelet registry of HPA-1-29w has been explored. The MassARRAY platform may help found the platelet apheresis registry which would be useful to provide matching platelets and lead to a more accurate, effective, and safe transfusion for patients with platelet therapy.
Flüssigbiopsie-Proteomik kombiniert mit AI identifiziert zelluläre Triebkräfte der Augenalterung und -erkrankung in vivo
Authors: Siebelmann Sebastian
Published: January 2024

Single-cell analysis in living humans is essential for understanding disease mechanisms, but it is impractical in non-regenerative organs, such as the eye and brain, because tissue biopsies would cause serious damage. We resolve this problem by integrating proteomics of liquid biopsies with single-cell transcriptomics from all known ocular cell types to trace the cellular origin of 5,953 proteins detected in the aqueous humor. We identified hundreds of cell-specific protein markers, including for individual retinal cell types. Surprisingly, our results reveal that retinal degeneration occurs in Parkinson’s disease, and the cells driving diabetic retinopathy switch with disease stage. Finally, we developed artificial intelligence (AI) models to assess individual cellular aging and found that many eye diseases not associated with chronological age undergo accelerated molecular aging of disease-specific cell types. Our approach, which can be applied to other organ systems, has the potential to transform molecular diagnostics and prognostics while uncovering new cellular disease and aging mechanisms.
Incarcerated Small Bowel Herniation in a Stoma Mimicking Sigmoid End Colostomy Prolapse
Authors: Abe Kaoru , Yamai Daisuke , Katsumi Chihiro , Oyamatsu Manabu , Sato Kenji
Published: January 2024

Introduction: A stoma prolapse is easy to diagnose by visual examination, and it rarely incarcerates. Therefore, manual reduction is usually performed as soon as the diagnosis is made. In this report, we describe a case of stoma prolapse that could not be reduced manually and ruptured because an incarcerated parastomal hernia occurred in the stoma, mimicking stoma prolapse. Case Presentation: A 66-year-old woman underwent total hysterectomy, bilateral salpingo-oophorectomy, pelvic and para-aortic lymphadenectomy, omentectomy, resection of dissemination, and low anterior resection with formation of a sigmoid end colostomy for endometrial cancer with infiltration of the rectum. Fourteen months after the initial operation, she presented with stoma prolapse and multiple episodes of vomiting. The prolapsed stoma was 20 cm in length, appeared swollen and edematous, and was somewhat firm. Although it looked viable, some of the mucosa was darkish red, indicating congestion. Therefore, the diagnosis was sigmoid end colostomy prolapse with an ischemic component. An attempt at manual reduction resulted in rupture, so an emergency laparotomy was performed. Intraoperatively, we found that the ileum was incarcerated in the aperture created where the colostomy had been formed. When the incarcerated ileum was released, the stoma prolapse could be reduced easily. The end colostomy was refashioned in the left upper quadrant of the abdomen. Conclusion: An incarcerated parastomal hernia can mimic stoma prolapse. If the findings differ from those of typical stoma prolapse, imaging should be performed to confirm whether another clinical entity is involved in the stoma prolapse.
Behind BMI: The Potential Indicative Role of Abdominal Ectopic Fat on Glucose Metabolism
Authors: Li Xiaoyang , Ren Hao , Xu Hui , Han Xinjun , Lu Jun , Yang Zhenghan
Published: January 2024

Introduction: The purpose of this study was to compare the difference in abdominal fat distribution between different metabolic groups and find the ectopic fat with the most risk significance. Methods: A total of 98 subjects were enrolled; there were 53 cases in the normal glucose metabolism group and 45 cases in the abnormal glucose metabolism group. Chemical shift-encoded magnetic resonance imaging was applied for quantification of pancreatic fat fraction (PFF) and hepatic fat fraction (HFF), subcutaneous adipose tissue (SAT), and visceral adipose tissue (VAT). The correlation and the difference of fat distribution between different metabolism groups were analyzed. The receiver operating characteristic (ROC) curve was used to analyze the suggestive effect of different body fat fraction. Results: Correlation analysis showed that body mass index (BMI) had the strongest correlation with fasting insulin (r = 0.473, p < 0.001), HOMA-IR (r = 0.363, p < 0.001), and C-reactive protein (r = 0.245, p < 0.05). Pancreatic fat has a good correlation with fasting blood glucose (r = 0.247, p < 0.05) and HbA1c (r = 0.363, p < 0.001). With the increase of BMI, PFF, VAT, and SAT showed a clear upward trend, but liver fat was distributed relatively more randomly. The pancreatic fat content in the abnormal glucose metabolism group is significantly higher than that in the normal group, and pancreatic fat is also a reliable indicator of abnormal glucose metabolism, especially in the normal and overweight groups (the area under the curve was 0.859 and 0.864, respectively). Conclusion: MR-based fat quantification techniques can provide additional information on fat distribution. There are differences in fat distribution among people with different metabolic status. People with more severe pancreatic fat deposition have a higher risk of glucose metabolism disorders.
Mesenteric Vein Thrombosis following Sleeve Gastrectomy: A Case Report and Review of the Literature
Authors: Ma Tianyi , Zhao Hongwei , Zhang Qian , Zhang Peng
Published: January 2024

Introduction: Acute mesenteric ischemia (AMI) is a rare but lethal disease. Mesenteric vein thrombosis (VAMI) is a subtype of AMI. Morbid obesity is usually accompanied by hypertension, hyperlipidemia, or diabetes mellitus, which are risk factors associated with AMI. Case Presentation: We present a 28-year-old man with VAMI post-laparoscopic sleeve gastrectomy. He was first misdiagnosed with intestinal obstruction. Superior VAMI was confirmed after computed tomography angiography. Laparotomy, resection of the necrotic small bowel, and ostomy were performed immediately. Conclusion: Patients with morbid obesity accompanied by hypertension, hyperlipidemia, or diabetes mellitus have a high risk of AMI. Abdominal pain with sudden onset should be considered AMI. Anticoagulation therapy post-sleeve gastrectomy might help reduce the incidence of AMI.
Complex Craniosynostosis in Pitt-Hopkins Syndrome: Case Report in Twins
Authors: Melo José Roberto Tude , Freire Peixoto Ana Rita de Luna , Souza Danilo Marden de Lima
Published: January 2024

Introduction: Pitt-Hopkins syndrome (PTHS) is a rare genetic syndrome associated with neurodevelopmental disorders and craniofacial dysmorphisms caused by variations in the TCF4 transition factor. The aim of this article was to report the case of two twin infants diagnosed with PTHS, confirmed by the identification of a heterozygous pathogenic variant in the TCF4 gene through DNA extracted from a buccal swab. Case Presentation: Both infants presented with craniofacial asymmetry with a metopic crest and cranial deformity. During the diagnostic investigation, computed tomography with three-dimensional reconstruction of the skull showed premature fusion of the left coronal and metopic sutures in both twins. They underwent craniofacial reconstruction at the 9th month of age using a combination of techniques. The postoperative outcomes were satisfactory in both cases. Conclusion: To the best of our knowledge, this is the first case report to describe the occurrence of complex craniosynostosis (CCS) in children with PTHS. Further studies are needed to determine whether the co-occurrence of PTHS and CCS described here indicates an association or is explained by chance.
Development of cloud visualization a machining manufacturing system shop floor
Authors: Sulistyo Joko , Tegar Setiawan Angga , Setiyasah Toha Isa
Published: January 2024

The industry is currently experiencing the fourth industrial revolution, characterized by the automation of cyber physical systems and advanced connectivity through the internet of things (IoT). This revolution enables real-time monitoring of machines status on the shop floor by leveraging cyber-physical and IoT technologies. This paper describes the results of research that develops IoT and cloud-based visualization for a machining manufacturing system shop floor. Our proposed solution involves an internet of things device equipped with two current sensors to detect machine and spindle current. The sensor connected to an Arduino Nano, which is then connected to Wemos D1 for wireless transmission of data to the cloud. The cloud has been developed to store data and provide visualization applications, in the form of machines layout map to monitor machines conditions in the form of machines ON, machines OFF, spindles ON and spindles OFF in real time.
A study of routing-based distributed mobility management in supporting seamless data transmission in smart cities
Authors: Lee Sunguk , D. Caytiles Ronnie , Park Byungjoo
Published: January 2024

The current trend of people having their multimedia-capable wireless and mobile devices roam within highly urbanized areas (i.e., smart cities) has led to the wide deployment of overlapping heterogeneous wireless network technologies. In this regard, various challenges have emerged, such as the number of mobile devices that connect or disconnect a wireless network domain, the diversity of time of their connections, frequent handovers as mobile devices frequently change their locations, the heterogeneity of wireless network technologies, cooperation challenges between the overlapping heterogeneous wireless network technologies, the increasing volume of multimedia traffic, security and privacy issues, and many more. This paper focuses on the deployment of a routing-based distributed mobility management (DMM) scheme to address the constraints and limitations of centralized wireless architectures for smart cities. The comparative analysis with centralized mobility management solutions shows significant alleviation in performance as to handover latency and packet losses, thus providing seamless handovers to maintain quality of service (QoS) for multimedia services.
A proposed model using Naïve Bayes and generalized linear models for early detection of heart attack risk
Authors: Somantri Oman , Perdana Wanti Linda
Published: January 2024

Timely identification of diseases, particularly heart attacks is crucial for individuals, particularly the elderly, to accurately anticipate the onset of the disease based on symtoms. The objective of this study is to develop a highly accurate model for early detection of heart disease using the Naïve Bayes (NB) and generalized linear model (GLM) techniques. In addition, another concern is the model’s subfar accuracy levels, promting the implementation of measures to optimize it. The suggested approach fot optimization involves the utilization of a genetic algorithm (GA). The research findings indicate that the NB and GLM approaches achive a reasonably high level of accuracy. Specifically, the NB model achieves an accuracy of 82.53%, while the GLM achieves an accuracy of 84.50%. Following optimization, the accuracy levels notably improved, with the NB_M-GA model reaching 85.83% and the GLM_M-GA model achieving 86,48%.
The effect of technological context on smart home adoption in Jordan
Authors: Al-Momani Adai , Nordin Abdul Rahman Mohd , N. Al-Refai Mohammed , Abuowaida Suhaila , Arabiat Mohammad , Alshdaifat Nawaf
Published: January 2024

This research examines the use of internet of things (IoT) smart home technologies in Jordan, using the technologies-organization-environment (TOE) framework and social exchange theory (SET). This study investigates the influence of security and privacy considerations on the behavioral intention to embrace IoT smart home solutions. The research examines the function of trust (TR) in service providers as a mediator and investigates how information technology (IT) knowledge acts as a moderator between technological elements and behavioral intention. Analyzed using smart partial least squares (PLS), data from 315 responses of executives in both listed and non-listed businesses were examined. The results highlight the need of giving priority to technological factors and building TR in service providers to ensure the effective implementation of IoT smart home technology in Jordan.
ADEMNET architecture: An innovative solution for adaptive multi-class balancing problem in image classification
Authors: Papanna Umalakshmi Neetha , Sathyanarayana Simran , Chicktotlikere Nagappa Pushpa , Javarappa Thriveni , Kuppanna Rajuk Venugopal
Published: January 2024

In the field of medical image processing, achieving high performance in the classification of four types of dementia poses a significant challenge. This research presents a novel approach that outperforms existing methodologies, bringing about a transformative impact in this specialized domain. The method integrates the adaptive synthetic–nominal (ADASYN) technique with a DEMNET framework, resulting in a substantial performance improvement of 95.45% compared to current benchmarks. Through meticulous experimentation on a dementia dataset encompassing four distinct types, we consistently demonstrate significant enhancements achieved by the refined strategy. This innovation not only raises the performance standard but also provides a robust and adaptable solution that can be easily integrated into existing systems. The implications of this advancement open up new avenues for both research and practical applications. This work exemplifies the power of innovative approaches to push the limits of performance and establishes a new benchmark for excellence within this specific domain.
Enhancing data publishing privacy: split-and-mould, an algorithm for equivalent specification
Authors: G Purohit Supriya , Swamy Veeragangadhara
Published: January 2024

Data sharing and publication have been popular in recent years due to the abundance of options. Evaluating and extracting data from sizable valuable databases i.e., data mining has various challenges which include issues with security, privacy, and data integrity. Anonymized data is used in the majority of privacy preserving data publication approaches, depending on a few utilitarian measures. However, applications that have particular needs for the data they utilize might not be able to use the anonymized data. Practical data anonymization must work to accomplish two opposing objectives: to maintain the data’s usefulness and to satisfy a specific privacy need.
 The utility loss when data is anonymized is frequently measured using generic utility metrics, such as the specific values generalized in a specific ontology. As a need for an application, we suggest equivalent specification, a technique that enables a data user to characterize some properties of the anonymized data. We also introduce the “split-and-mould” algorithm, a heuristic anonymization algorithm that applies a generalization method to the user-provided parameters. Our preliminary results indicate that the specification format and procedure can improve significantly the utility of the anonymized data for data mining that develop predictive models, like decision trees (DTs) and Naïve Bayes.
Development of deep reinforcement learning for maximum power point tracking of photovoltaic systems
Authors: Thom Hoang Thi , Huong Le Thi
Published: January 2024

The use of renewable energy systems, specifically photovoltaic (PV) systems (PVs) that convert solar energy into electricity, has become a popular solution to address global environmental concerns by reducing the utilization of non-renewable energy sources, which contribute to pollution. Efforts to increase the power transfer effectiveness of PV systems include the advancement of controllers for maximizing power point tracking (MPPT). These controllers guarantee optimal system operation at the maximum power point (MPP) in diverse environmental conditions. The paper proposes an improved deep reinforcement learning (DRL) method, namely deep deterministic policy gradient (DDPG), to capture the MPP in PV systems, particularly when dealing with partial shading conditions (PSCs). Unlike reinforcement learning methods that only work with discrete state and action spaces, the proposed DDPG method can handle continuous action state spaces. Feasibility analysis is conducted using MATLAB/Simulink simulations, and the findings demonstrate the efficiency and superior performance of the suggested solutions, highlighting their potential for future use.
Model development of bond graph based wind turbine
Authors: Kadiman Sugiarto , Yuliani Oni
Published: January 2024

Just recently, wind energy continues to be one of most important renewable energy resources, by cause of its production is ecologically friendly; for that reason, the technology built for the renewable energy production by way of wind turbines takes excessive challenges in the study. Due to several physical domains prevailing in wind turbine, namely aerodynamical, mechanical and electrical, the modeling of wind turbine is problematic; thus, modeling based on physical techniques has a superior reliability in these circumstances. One of these approaches is bond graph modeling that model system evolved from conservation law of both of mass and energy comprising in the structures. This study presents modeling the parts of bond graph-based wind turbine. Then, sub models are connected together to attain the entire model of wind turbine for simulation based on 20-Sim software. The proposed wind turbine is 2.5 kW of variable velocity wind turbine with three blades, gearbox, tower, and doubly-fed induction generator type. The effectiveness of bond graph modeling system on wind turbine has been proven in simulation results.
Mutual coupling effects in 2×2 antenna array for ground penetrating radar on multilayered soil
Authors: Antonio Becerra-Pérez Marco , Guerra-Huaranga Tanith , Elisia Armas-Alvarado Maria , Clemente-Arenas Mark , Esther Rubio-Noriega Ruth
Published: January 2024

Caral stands as the Americas’ oldest city, boasting a heritage spanning 5,000 years. Over time, various natural forces have woven a complex geological stratum. To gain a deeper understanding of the Caral civilization, non-intrusive exploration methodologies like ground penetrating radar (GPR) are beginning to be used. This method safeguards the integrity of ancient subterranean remains. A GPR system is in development, tailored to the
 [200-500] MHz range, employing a 2×2 antenna array with dual polarization. These features enhance resolution without compromising penetration depth. However, using multiple antennas within complex, multi-layered environments introduce impedance band constraints and exacerbates antenna coupling issues. This study assesses the coupling of two antenna candidates: the Vivaldi with defected ground structures (DGS) and the log periodic dipole array (LPDA). The scattering parameters show that the LPDA antenna performed better considering measured and simulated data. Cross-polarization exhibited a broader bandwidth in the LPDA antenna, evident in both simulated and measured data. Additionally, a comprehensive comparison of GPR simulations for each antenna type within an 11-level multilayer medium, with different electromagnetic properties, further highlights LPDA. This antenna boasts a 209 MHz bandwidth and a coupling better than -23 dB for the cross-polarization configuration, firmly showing its best performance.
Image and noise reduction for assessing driver incompetence in cases of sudden unintended acceleration
Authors: Rhee Eugene , Cho Junhee
Published: January 2024

This paper explores using cameras aimed at the accelerator and brake pedals during sudden unintended acceleration in cars, removing noise from captured images to determine driver incompetence. A car model was constructed using Raspberry Pi to simulate brake malfunction using random functions, increasing the revolutions per minute (RPM) to simulate sudden acceleration. By employing a DC encoder motor to measure the motor's rotational speed through waveform counts, the RPM was calculated. The study recognized sudden acceleration when the brake malfunctioned through the DC encoder motor, causing an abnormal RPM increase, allowing camera capture toward the accelerator and brake during sudden acceleration events. Precautions were taken for problems arising from noise in captured images. The Unix operating system was utilized to apply Gaussian filter image processing techniques for noise removal. While using an average value filter led to abrupt changes by replacing with the average of surrounding signals, resulting in an unsmooth image, a Gaussian filter was used in this study to decrease weights as distance from the center increased, mitigating these issues.
Optimized in-loop filtering in versatile video coding using improved fast guided filter
Authors: Amrutha Valli Pamidi Lakshmi , Nalluri Purnachand
Published: January 2024

Devices with varying display capabilities from a common source may face degradation in video quality because of the limitation in transmission bandwidth and storage. The solution to overcome this challenge is to enrich the video quality. For the mentioned purpose, this paper introduces an improved fast guided filter (IFGF) for the contemporary video coding standard H.266/VVC (versatile video coding), a continuation of H.265/HEVC (high efficiency video coding). VVC includes several types of coding techniques to enhance video coding efficiency over existing video coding standards. Despite that, blocking artifacts are still present in the images. Hence, the proposed method focuses on denoising the image and the increase of video quality, which is measured in terms of peak signal-to-noise (PSNR). The objective is achieved by using an IFGF for in-loop filtering in VVC to denoise the reconstructed images. VTM (VVC test model)-17.2 is used to simulate the various video sequences with the proposed filter. This method achieves a 0.67% Bjontegaard delta (BD)-rate reduction in low-delay configuration accompanied by an encoder run time increase of 4%.
Quality of services in software defined networking: challenges and controller placement problems
Authors: Aouad Siham , El meghrouni Issam , Sabri Yassine , Hilmani Adil , Maizate Abderrahim
Published: January 2024

Quality of service (QoS) is pivotal for ensuring effective and reliable network performance, yet achieving end-to-end QoS within current network architectures remains a persistent challenge. The emergence of software defined networking (SDN) addresses limitations in traditional networking by offering a centralized control plane. This allows dynamic resource management and efficient enforcement of QoS policies by network administrators. However, the controller placement problem (CPP) within SDN poses a significant challenge, as identifying the optimal placement of controllers is a non-deterministic polynomial-time hardness (NP-hard) problem. Researchers are actively working on solutions to address this challenge, especially in large-scale networks where deploying controllers becomes complex. Additionally, maintaining QoS in terms of controller management presents another hurdle. This paper explores these challenges, delving into the literature and providing a comprehensive analysis of controller performance metrics related to QoS parameters such as load balancing, reliability, consistency, and scalability. By addressing these challenges, the research aims to enhance QoS within the SDN framework.
Class imbalance aware drift identification model for detecting diverse attack in streaming environment
Authors: Shahapurkar Arati , Patil Rudragoud , K. Tangod Kiran
Published: January 2024

Detecting fraudulent transactions in a streaming environment presents several challenges including the large volume of data, the need for real-time detection, and the potential for data drift. To address these challenges a robust model is needed that utilizes machine learning techniques to classify transactions in real-time. Hence, this paper proposes a model for detecting fraudulent transactions in a streaming environment using xtream gradient boost (XGBoost), cross-validation and class imbalance aware drift identification (CIADI) model. The performance of the proposed method is evaluated using datasets named credit card and Network Security Laboratory (NSL-KDD) dataset. The results demonstrate that the model can effectively detect fraudulent transactions with high accuracy, recall, and F-measure. The results show that the proposed CIADI model attained 95.63% for the credit card dataset which is higher accuracy in comparison to the generative-adversarial networks (GAN), network-anomaly-detection scheme-based on feature-representation and data-augmentation (NADS-RA) and feature-aware XGBoost (FA-XGB). Further the proposed CIADI model attained 98.5% for the NSL-KDD dataset which is higher accuracy in comparison to the NADS-RA, stacked-nonsymmetric deep-autoencoder (sNDAE) and convolutional neural-network (CNN). This study suggests that the proposed method can be an effective model for detecting fraudulent transactions in streaming environments.
A chegada e Fonte da vida: existência, o outro e o ser-se (in)finito
Authors: Araújo Gilvan Charles Cerqueira de
Published: January 2024

Este artigo possui como principal objetivo propor um debate sobre a temática do tempo, existência e (in)finitude nos filmes Fonte da Vida, de 2006, e A Chegada, de 2016. Por meio de categorias da ontologia fenomenológica – ser-aí; ser-para-a-morte; a relação entre existência, ser e essência; a abertura da questão do devir-no-mundo pelo Outro – é efetuada uma análise comparativa entre similitudes e diferenciações entre as duas obras. O imagético, o discursivo, o representacional e o narrativo formam os parâmetros de recursos analíticos do manuscrito, ao mesmo tempo em que são entremeados por uma revisão bibliográfica sobre as temáticas abordadas pelos dois longas-metragens escolhidos.
Interfaces da Comunicação
Authors: Farias Luiz Alberto de , Nassar Paulo
Published: January 2024

Editorial da primeira edição.
História, Política e Narrativa em A Festa do Bode, de Mario Vargas Llosa
Authors: Urbano Caio Henrique Trentini
Published: January 2024

Esta resenha trata da obra “A Festa do Bode”, de Mario Varga Llosa, e apresenta as dimensões políticas da literatura do autor peruano. A complexa diversidade de núcleos narrativos na obra, característica da escrita de Llosa, contribui para compreensão do governo de Rafael Leônidas Trujillo, na República Dominicana, temática principal do livro que reverbera como aspecto comum aos regimes totalitários.
Bem Mais que Ideias, de Patricia Hill Collins: a jornada da interseccionalidade em direção à uma teoria social crítica
Authors: Mazzucatto Maria Rita
Published: January 2024

Bem Mais que Ideias: a Interseccionalidade Como Teoria Social Crítica, de Patricia Hill Collins, é objeto desta resenha, que destaca sua análise abrangente da interseccionalidade, sendo, ao mesmo tempo, uma obra introdutória e profunda sobre o tema. Nela, Collins explora as origens, a evolução e as aplicações da interseccionalidade, apresentando-a como uma teoria social crítica em construção e os caminhos para se chegar até sua consolidação, que passam pelo compromisso ético, pelo diálogo com correntes de pensamento resistentes e pela promessa de combater desigualdades sociais, lutando por uma sociedade mais justa.