bluuebunny/crossref_metadata_2025_split huggingface dataset:
Speech-based Sentiment Recognition System using PDCNN and LSTM Algorithms
Authors: Adagale Sushadevi Shamrao , Gupta Praveen 
Published: March 2024

Abstract
Sentiment analysis is very important for the multiple human-computer interaction system. Many deep learning frameworks have been presented for sentiment analysis using speech signals. However, the performance of speech-based sentiment recognition is limited because of poor generalization capability, limited long-term dependency, inferior feature representation, poor balance in speech spectral and temporal properties, and complexity in deep learning algorithm frameworks. This paper presents speech-based sentiment recognition (SSR) using a parallel deep convolution neural network, a long short-term memory (DCNN-LSTM) network, and multiple acoustic features (MAF). The multiple acoustic features consist of spectral, time domain, and voice quality features for improving the feature distinctiveness of the speech signal. Further, the Archimedes Optimization algorithm (AoA) selects the prominent MAFs. The weights of the fitness function of the AoA algorithms are automatically optimized using the Multi-Attribute Criteria Theory (MAUT) algorithm. The outcomes of the proposed algorithm are evaluated on the Berlin Sentiment Database (EMODB), which consists of seven sentiments: happiness, anger, boredom, disgust, fear, neutral, and sadness.
Shallot (Allium ascalonicum L.)-enriched Plantain (Musa paradisiaca L.) Biscuits ameliorates Diabetes, Hypertension and Oxidative Stress in Streptozotocin/High-Fat Diet induced Diabetic Rats
Authors: Adeyemo Aanuoluwapo Elizabeth , Josiah Sunday Solomon , Omoba Olufunmilayo Sade , Olagunju Aderonke Ibidunni 
Published: March 2024

Abstract
This study was designed to investigate the effect of shallot-enriched plantain biscuits (SEPB) on diabetes, hypertension, and oxidative stress in streptozotocin (STZ)/high-fat diet (HFD)-induced diabetic rats. Male Wistar rats were divided into six groups: Group 1: Control, Group 2: Untreated diabetic rats, Groups 3 and 4: Diabetic rats fed with plantain biscuit supplemented with 0% and 20% shallot, respectively, Group 5: Diabetic rats fed with commercial onion biscuit, and Group 6: Diabetic rats orally treated with Metformin (100 mg/kg, body weight). The treatment lasted for 14 days. Glucose levels, lipid profiles, atherogenic/coronary risk indices, and hepatic/renal function markers in the plasma of diabetic rats were evaluated. Assessment of α-amylase, α-glucosidase, and angiotensin converting enzyme (ACE) activities were carried out. Furthermore, the activities/levels of oxidative stress markers and histopathology status were assessed in the liver and kidney of the experimental rats using standard methods. Our results showed that SEPB significantly (p < 0.05) lowered glucose levels, moderated lipid profile function, and ameliorated hepato-renal dysfunctions in diabetic rats. The activities of pancreatic α-amylase, intestinal α-glucosidase, and hepatic/renal ACE increased significantly (p < 0.05) in diabetic rats fed with SEPB compared to untreated diabetic rats. Furthermore, SEPB significantly (p < 0.05) mitigated oxidative stress as adjudged by increased glutathione peroxidase, glutathione transferase, superoxide dismutase, and catalase activities, coupled with decreased lipid peroxidation in diabetic rats. The results obtained from the histopathology assessment further confirm the protective potentials of SEPB. The study suggested that SEPB exhibits antidiabetic, antihypertensive, and antioxidant potentials; hence, it may be suitable as a functional snack.
UBE2C is associated with Prognosis of Immunosuppression and Cell Invasiveness in Glioma
Authors: Feng Hao , Fu Anhui , Yang Rong , Qiao Fei 
Published: March 2024

Abstract
Background
Glioma is one of the common tumors of the central nervous system, which presents difficulties in clinical diagnosis and treatment due to its characteristics of immunosuppression and cell invasion phenotypes. The condition and prognosis of glioma may be predicted during the process of diagnosis and treatment, it will be more conducive to timely intervention or evaluation of glioma.
Methods
Differential or risk genes were analyzed based on TCGA (The Cancer Genome Atlas) - glioma samples, selecting relative typical biological processes based on enrichment analysis of their common genes. Target gene UBE2C were obtained by the expression correlation and differential expression analysis for the enrichment results. UBE2C were evaluated by clinical grading, survival prognosis and cell experiments. GSEA (Gene Set Enrichment Analysis) analysis based on GEO (Gene Expression Omnibus) data sets and the above conclusions were verified. The correlation of UBE2C with immune invasion, immune checkpoint and cell invasiveness of gliomas was analyzed by TCGA-glioma data and STRING, respectively.
Results
Our results suggests that the high expression and risk of UBE2C in gliomas may be a factor that promotes malignant phenotype of tumor cells. The immune phenotype shows that IL6 and IL10 may be the key nodes affecting the immunosuppressive phenotype of glioma. Further, the invasion genes from the MMP family can be correlated with immunosuppressive phenotypes via UBE2C-IL6/IL10 axis, especially displayed by MMP2/MMP9.
Conclusion
The UBE2C may systemic effects the malignant phenotype, immunosuppression and cell invasiveness of tumors systematically, which reflects UBE2C as a potential biomarker and therapeutic target for glioma.
M-Calib: A Monocular 3D Object Localization using 2D Estimates for Industrial Robot Vision System
Authors: Canh Thanh Nguyen , Ngoc Du Trinh , HoangVan Xiem 
Published: March 2024

Abstract
3D Object Localization has been emerging recently as one of the challenges of Machine Vision or Robot Vision tasks. In this paper, we proposed a novel method designed for the localization of isometric flat 3D objects, leveraging a blend of deep learning techniques primarily rooted in object detection, post-image processing algorithms, and pose estimation. Our approach involves the strategic application of 3D calibration methods tailored for low-cost industrial robotics systems, requiring only a single 2D image input. Initially, object detection is performed using the You Only Look Once (YOLO) model, followed by segmentation of the object into two distinct parts— the top face and the remainder— using the Mask R-CNN model. Subsequently, the center of the top face serves as the initialization position and a unique combination of post-processing techniques and a novel calibration algorithm is employed to refine the object’s position. Experimental results demonstrate a notable reduction in localization error by 87.65% when compared to existing methodologies. Furthermore , we have made our code and datasets openly accessible to the public, facilitating further research and collaboration in this domain (https://github. com/NguyenCanhThanh/MonoCalibNet)
Spatiotemporal Modeling for Dynamic Gesture Recognition in Video Streams
Authors: Sandhya Jella , ANITHASHEELA KANCHARLA 
Published: March 2024

Abstract

Indian Sign Language (ISL) serves as a vital means of communication for the hearing-impaired community in India. Accurate recognition of ISL gestures through computer vision is of paramount importance for enhancing accessibility and inclusivity. Hence this research focuses on translating sign language gestures used by the hearing impairment community into formats understandable by the general population in order to bridge the communication gap between these communities. For this a Continuous Sign language recognition module is to be designed which is complicated since the grammar for Sign language is different from the spoken language due to which first the continuous ISL (Indian Sign language) is to be converted to glosses and then these glosses are to be used for generating the spoken language. Also, as per literature it is observed that Sign language translator is built for American, Chinese and Argentina Sign language but very little work is done on Indian Sign language. Also, many of the ISL translators are built either on static data or very a smaller number of gestures of video data [20]. In our work it is proposed to build a system which uses combinational network that can convert directly the ISL to Speech on 76 video gestures. The proposed combinational network includes Pre-trained network designs such as ResNet18, ResNet50, GoogLeNet, and InceptionV3 to efficiently extract spatial features from video frames and subsequently, these extracted features are further processed through a two-layer Long Short-Term Memory (Bi-LSTM) network to represent time dependencies between the frames for a particular gesture. Compared to conventional RNNs, BiLSTM models are used since they were able to represent well the longer time dependencies of frames in the gesture. To validate the proposed idea a standard balanced database of around 76 gestures with each gesture enacted by 10 individuals 05 times each which includes letters, words, phrases are created in Anechoic Chamber lab using Sony HXR-NX100 camera sponsored under UGC-MRP at JNTUHCEH. We explored various combinations of pre-trained networks and BiLSTM layers to strike a balance between computational resources and precision on this database and we could achieve incredible accuracy in gesture classification while minimizing training time and memory usage. GoogLenet with LSTM gave better results with an average test accuracy of 94.21% compared to other combinational networks.
Trajectory Classification through Topological Data Analysis Perspectives
Authors: Esteve Miriam , Falcó Antonio 
Published: March 2024

Abstract
This paper explores the application of Topological Data Analysis (TDA) in the domain of trajectory classification, aiming to enhance the understanding and interpretation of complex spatial movement patterns. Leveraging TDA, we delve into the inherent structures and relationships embedded in trajectory datasets, providing a novel perspective on classification methodologies. The paper investigates the integration of TDA techniques into trajectory analysis, shedding light on their potential to capture spatial features that traditional methods may overlook. The study further extends to incorporate both simulated data trajectories and two real-world datasets pertaining to vehicles and ships. These additional datasets allowed us to apply TDA in practical, real-world contexts, demonstrating its versatility and effectiveness across different modes of transportation. The inclusion of simulated trajectories also provided a controlled environment to test the robustness of TDA techniques. The results from applying TDA to these diverse datasets have been promising, showcasing the potential of TDA to revolutionize the field of trajectory analysis by revealing intricate spatial patterns and relationships that traditional analytical methods might miss.
Assessing Genetic Plasticity in Response to New Environmental Conditions in Coniferous Tree Seeds from Multiple Provenances
Authors: Zhu Peng-Kai , Xu Yan-Ping , Rong Ju-Dong , Liu Kai , He Tian-You , Chen Li-Guang , Zheng Yu-Shan , Chen Ling-Yan 
Published: March 2024

Abstract
In the context of climate change, assessing the adaptive potential of species and populations is crucial for developing effective conservation strategies. Changes in plant gene expression play a significant role in the adaptation process to climate change. This study aims to explore the adaptive responses of the near-threatened conifer species Chamaecyparis hodginsii to climate change and analyze the molecular-level reactions of these long-lived trees to climatic shifts. It seeks to understand their phenotypic responses to climate change, identify key environmental factors driving adaptive gene expression, and provide information for transplantation conservation strategies based on genetic adaptability. By conducting mixed-tissue RNA sequencing on seeds from multiple provenances and employing redundancy analysis (RDA), weighted gene co-expression network analysis (WGCNA), and partial least squares path modeling (PLS-PM), the study assesses the impact of climatic variables on gene expression and phenotype. It identifies key gene groups associated with environmental responses and elucidates the complex relationships between environmental factors, functional gene groups, and phenotypic traits. The findings reveal that C. hodginsiiadapts to environmental stresses by regulating specific gene activities related to morphological trait adjustments. Moreover, environmental factors such as the impact on tree architecture emphasize the importance of Precipitation Seasonality, Isothermality, and Precipitation of Driest Quarter for adapting to climate stresses. This research not only unveils the complex adaptive responses of C. hodginsii to climate change but also provides critical insights for the management and conservation of long-lived tree species facing climate change threats.
Rapidly growing adenosquamous carcinoma in the pancreatic tail discovered upon its resection for cervical tuberculous lymphadenitis: A case report
Authors: Ota Hideo , Hoshino Hiromitsu , Ogisu Kyohei , Jokoji ryu , Yamashita Shinya , Ikushima Hirofumi , Arisaka Yoshifumi , Mizuno Hitoshi 
Published: March 2024

Abstract
Cancer (including pancreatic adenocarcinoma) can develop within one year of tuberculosis infection. However, it is unclear whether tuberculosis infection increases the risk of developing pancreatic adenosquamous carcinoma (ASCP), an extremely rare cancer with a poorer prognosis than pancreatic ductal adenocarcinoma (PDAC). Herein, we report a resected, rapidly growing adenosquamous carcinoma case of the pancreatic tail associated with cervical tuberculous lymphadenitis. The patient is a 57-year-old woman. An excisional biopsy of the swollen right cervical lymph nodes revealed tuberculous lymphadenitis. One month after the biopsy, an abdominal computed tomography scan showed a 2.0 cm (diameter) ischemic tumor in the pancreatic tail. The tissue obtained using endoscopic ultrasonography-guided fine-needle aspiration led to the pathological diagnosis of ASCP. Two months after the biopsy, the tumor had grown to 3.5 cm (diameter), and invasion of the stomach and colon was suspected. A distal pancreatectomy, splenectomy, partial gastrectomy, and transverse colectomy were performed. The final diagnosis was ASCP (4.7 cm, pT3, pN0, cM0, and p Stage IIA). Postoperative adjuvant combination chemotherapy combined with antituberculosis drugs was administered orally. We report the first case of a rapidly growing adenosquamous carcinoma resected from the pancreatic tail in association with cervical tuberculous lymphadenitis. Additional evidence is required to confirm that tuberculosis infection increases the risk of developing pancreatic adenosquamous cell carcinoma because its involvement in squamous cell metaplasia has not been proven. Patients with ASCP who underwent resection and adjuvant chemotherapy without early recurrence may have a 5-year survival rate similar to that of patients with PDAC.
Functional genomics evaluation of Levilactobacillus brevis strain DY55bre acquired from a lactic acid fermented beverage to further understand its biotechnological and probiotic potential
Authors: YETİMAN Ahmet E. 
Published: March 2024

Abstract
Levilactobacillus brevis is a significant member of lactobacilli due to its remarkable industrial and probiotic features. In this study, the L. brevis DY55bre strain was isolated from a lactic acid-fermented beverage known as "shalgam". Its genome size was 2.485.670bp, with a GC content of 45.72%. It is predicted to possess 2699 coding sequences, including 82 tRNA, 7 rRNA, 3 ncRNA, 42 CRISPR spacers, and 155 pseudogenes. Unlike previous research, the DY55bre genome only has one CAS system, Type-1E. The clusters of orthologous groups (COGs) comparison and pangenome analysis were performed using other genomes of L.brevis. Like other obligate heterofermentative lactobacilli, DY55bre has araBAD operon but no 1-phosphofructokinase(pfk) enzyme. Further, it can produce lactic acid, acetic acid, ethanol, 1-propanol, propanal, butane-2,3-diol, acetaldehyde, acetoin, and diacetyl as an outcome of carbohydrate metabolism. On the other side, DY55bre has the ability to produce the amino acids L-asparagine, L-aspartate, L-glutamine, L-glutamate, S-Adenosyl-L-methionine, citrulline, arginine, serine, glycine, and GABA. These amino acid and carbohydrate metabolism products are valuable due to their economic value and health benefits to humans and animals. Finally, probiogenomic assessment results demonstrated that L. brevis DY55bre has gut adaption features that allow it to withstand a wide range of stressors.
Examining Windows File System IRP Operations with Machine Learning for Ransomware Detection
Authors: Xu Bingyan , Wang Shukai 
Published: March 2024

Abstract
This study introduces an innovative approach to ransomware detection on Windows operating systems by leveraging Generative Adversarial Networks (GANs) to analyze file system I/O Request Packet (IRP) operations. The proposed method demonstrates a significant improvement in identifying ransomware activities through the dynamic monitoring of IRP operations, distinguishing between benign and malicious behaviors with high accuracy. The research highlights the application of GANs as a powerful tool in cybersecurity, capable of adapting to evolving ransomware tactics without the need for predefined threat signatures. Through rigorous testing, the model showcased notable advancements over traditional detection methods, indicating its potential to enhance real-world cybersecurity defenses. The findings suggest a shift towards more adaptive, machine learning-based solutions for combating the increasing complexity of cyber threats.
Risk factors for the development of arterial hypertension in children and young people in present-day developments
Authors: Ignatenko G. A. , Dubovaya A. V. , Naumenko Yu. V. , Dudchak A. P. , Sosna V. V. 
Published: March 2024

In modern society, there is an intensive increase in the incidence of hypertension among young people, which is mainly due to lifestyle features and associated risk factors. Purpose. To analyze the results of Russian and foreign scientific research concerning the study of risk factors in the development of hypertension in children and young people. Material and methods. A qualitative analysis of the current data available in the literature on the risk factors of hypertension and its prevention has been carried out. Results. It has been established that the occurrence of arterial hypertension in childhood is influenced not only by hereditary factors, but also by a number of environmental risk factors. Conclusion. Further research is needed to study new and established risk factors that need to be considered when conducting primary prevention of the disease in children and young people from the high-risk group.
Mitochondrial dynamics and the significance of its disturbances in the development of childhood diseases. Part I. Physiological and neurological aspects
Authors: Sukhorukov V. S. , Baranich T. I. , Egorova A. V. , Fedorova E. N. , Skvortsova K. A. , Kharlamov D. A. , Krapivkin A. I. 
Published: March 2024

In recent years, the dynamics of mitochondrial transformations in cells have been of more concern to both representatives of basic science and researchers in the field of applied medicine. A growing number of observations demonstrate the important regulatory influence of mitochondrial dynamics on a variety of physiological and pathological processes in many, if not all, organ and tissue structures. The prospects for studying the features and regulators of these processes for understanding the pathogenesis of diseases, developing their new biomarkers, as well as treatment technologies seem increasingly significant. The purpose of this article is to review the facts obtained regarding mitochondrial dynamics, which, from the authors’ point of view, deserve the attention of pediatricians. The volume of relevant information turned out to be too extensive to fit into one article, which forced it to be divided into several successive publications. The first part provides information about the main processes included in the concept of “mitochondrial dynamics,” the importance of maintaining the balance of the latter for ontogenesis and tissue homeostasis, as well as data on its disturbances in diseases of the nervous system in children.
Erythema nodosum in children
Authors: Khaertynov Kh. S. , Anokhin V. A. , Makarova K. A. , Khaliullina S. V. , Bulatova A. Kh. , Yumasheva S. Yu. 
Published: March 2024

Erythema nodosum, which is often associated with infectious diseases, is one of the rare skin manifestations in the practice of pediatricians and pediatric infectious disease specialists. Purpose. The purpose was to study the clinical and laboratory manifestations of erythema nodosum in children. Material and methods. The study included 17 children with erythema nodosum aged 2 to 17 years who were hospitalized at the City Children’s Hospital No. 1 of Kazan. Results. In 6 (35 %) children, elevated values of antistreptolysin-O were detected, in 5 (29 %) — high titers of antibodies to Salmonella, in 2 (12 %) cases — IgM to Chlamidia pneumonia, in 2 (12 %) other children — IgM to capsid antigen of EBV, in one case (6 %) — IgM to Mycoplasma pneumonia. Increased erythrocyte sedimentation rate and C-reactive protein level was observed in 15 (88 %) and 12 (70 %) children, respectively. In 12 (70 %) of 17 children, increased level of soluble fibrin-monomer complex was detected in the blood. Conclusion. Erythema nodosum in children in most cases is associated with streptococcal infection and salmonellosis. The immune-inflammatory process in erythema nodosum is accompanied with an increase in the level of soluble fibrin-monomer complex in the blood.
Experimental investigation of a novel-designed inclined solar still with bio-wick under dynamic water flow
Authors: Sudalaimuthu Pitchaiah , Sathyamurthy Ravishankar 
Published: March 2024

ABSTRACT

This study experimentally investigates the inclined solar still (ISS) with the incorporation of fins and natural bio-jute cloth under dynamic flow. Experiments are conducted on bright sunny summer days in Coimbatore, Tamil Nadu, India. The newly developed ISS features greatly support passive solar desalination. An increase in mass flow rate (Mf) increases heat transfer meticulously pointing out 0.65, 0.8, and 1 kg/min case absorber, and the water temperature difference is within 3°C. An Mf of 0.285 kg/min is secure for the maximum water temperature reach and clean water yield of 70°C and 4.1 kg/m2, respectively, along with jute cloth, it was 1.6 kg/m2 more against without jute cloth. The presence of a jute cloth cumulative water yield of 2.5 kg/m2 at 0.635 kg/min is very close to the absence of a wick cumulative yield of 2.3 kg/m2 during 0.285 kg/min. From these results, the authors conclude higher Mf is feasible to increase the still performance and clean water yield. The implementation of a fully renewable passive solar still is strongly recommended to attain renewable and sustainable desalination.