bluuebunny/crossref_metadata_2025 huggingface dataset:
Telangiectasias induced by combination tucatinib and ado-trastuzumab emtansine in a patient with metastatic breast cancer
Authors: Rodriguez Gabriella F. , Shah Anuj , Maderal Andrea D.
Published: April 2024

BACKGROUND: Tucatinib is a tyrosine kinase inhibitor currently used in salvage therapy for human epidermal growth factor receptor 2 (HER2)-positive breast and colorectal cancer. The use of tucatinib alone or in combination with ado-trastuzumab emtansine (T-DM1) in the treatment of advanced HER2-positive cancers is rapidly expanding. OBJECTIVE/METHODS: We report the case of a 66-year-old female who presented to the dermatology clinic with a one-year history of widespread telangiectasias that began after initiation of combination chemotherapy with tucatinib and T-DM1 for metastatic HER2-positive invasive ductal carcinoma. RESULTS: The patient’s lesions regressed upon cessation of combination therapy and reappeared in the setting of tucatinib re-initiation, with gradual improvement over the following four months following electrocautery to the affected regions. CONCLUSIONS: We postulate that telangiectasias may be a previously unreported dermatologic side effect of combination treatment with tucatinib and T-DM1. Electrocautery is a safe and effective procedure to reduce the appearance of telangiectasias and improve patient satisfaction during chemotherapy.
A case report demonstrating the utilization of computer-aided design technology and intramedullary nails for the management of femoral deformity and fracture
Authors: Zhoua Xiao-Bin , Guan Jian
Published: April 2024

BACKGROUND: To effectively address severe deformities at the fracture site in patients, meticulous preoperative preparation is essential. This involves ensuring the restoration of the normal structural force line of the affected area and prevention of any residual deformities. By utilizing E3D technology prior to surgery, creating models based on individual patient image data and performing osteotomy, the required surgical parameters can be measured, thereby reducing surgical risks and enhancing precision. CASE PRESENTATION: This article documents a case involving a fractured femoral shaft resulting in femoral deformation. In this case, computer-aided design technology was employed for preoperative planning and data measurement to guide the corrective osteotomy and fracture fixation procedures. CONCLUSION: The E3D software utilizes advanced techniques such as customized osteotomy, virtual reduction and internal fixation insertion technology. This enables the software to accurately pre-select the correction of femoral deformities and determine the appropriate specifications and types of internal implants. As a result, the software can create precise, rational, and personalized repair plans tailored to each patient’s needs.
Efficacy of rehabilitation interventions on functioning in patients with hemophilic arthropathy: A systematic review with meta-analysis
Authors: Lippi Lorenzo , de Sire Alessandro , Turco Alessio , Santi Roberto Mario , Polverelli Marco , Ammendolia Antonio , Follenzi Antonia , Invernizzi Marco
Published: April 2024

BACKGROUND: Hemophilic arthropathy is a detrimental condition that crucially affects functional outcomes in hemophilic patients. In recent years, due to the advances in systemic therapies, growing attention has been raised in the rehabilitation field in order to improve functional outcomes of hemophilic patients. However, the optimal rehabilitation modalities in these patients are far from being fully characterized. OBJECTIVE: The present study aimed to assess the effects of different rehabilitation interventions on physical functioning and health-related quality of life of hemophilic arthropathic patients. METHODS: The review followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement. Five databases were systematically searched for randomized controlled trials (RCTs) published until June 22nd, 2023. The selection criteria included adult patients with hemophilia A and B receiving rehabilitation interventions. The outcomes were muscle strength, physical function, pain intensity, physical performance, and health-related quality of life. RESULTS: Out of 1,743 identified records, 17 studies were included in the qualitative synthesis. Rehabilitation interventions were categorized into exercise intervention, fascial therapy, and multimodal intervention. The findings suggested positive outcomes in terms of muscle modifications, range of motion improvements, joint health enhancements, pain intensity reduction, and quality of life improvements. More in detail, meta-analyses showed significant improvements in pain intensity [ES: -1.10 cm (-1.37, -0.82), p< 0.00001], joint health [ES: -1.10 (-1.38, -0.82), p< 0.00001], In accordance, exercise interventions showed significant benefits in terms of joint health [ES: -2.54 (-3.25, -1.83), p< 0.00001)] and quality of life [ES: 1.17 (0.48, 1.86), p< 0.0000)]. CONCLUSION: Rehabilitation interventions have a positive impact on functional outcomes and health-related quality of life of hemophilic arthropathic patients. Further studies are needed to better elucidate the role of a comprehensive intervention combining different rehabilitation approaches to treat hemophilic arthropathy.
Comparison of psoas major activation during standing hip flexion between chronic low back pain and healthy populations
Authors: Cai Congcong , Gazali Nurul Adliah , Tan Xin Ning , Soon Benjamin , Lee Adrian Thian Huat , Aw Qian Wen Simone , Dana Dharini D/O , Kwok Joanne Ching Tung , Kwa Mei Jun
Published: April 2024

BACKGROUND: The psoas major (PM) has been identified as a potential contributor to chronic low back pain (LBP). However, few studies have investigated the effects of upright functional movement on PM activation in cLBP individuals. OBJECTIVE: This cross-sectional study aims to compare PM muscle activation characteristics in chronic LBP (cLBP) and healthy subjects during the transition from quiet double-leg standing to standing hip flexion. METHODS: Ultrasound Imaging was used to assess PM thickness at the lumbar vertebral level of L4–5 in 12 healthy and 12 cLBP participants. The changes in thickness between the test positions were utilized as a proxy for PM activation. RESULTS: The cLBP group exhibited greater thickness changes on the non-dominant side PM during contralateral hip flexion but not ipsilateral hip flexion (p= 0.369) compared to their healthy counterparts (p= 0.011; cLBP: resting 27.85 mm, activated 34.63 mm; healthy: resting 29.51 mm, activated 29.00 mm). There were no significant differences in dominant side PM thickness changes between the two groups during either contralateral or ipsilateral hip flexion (p= 0.306 and p= 0.077). CONCLUSION: Our findings suggest a potential overactivation of the PM in the cLBP population. This insight may aid in the development of tailored rehabilitation programs.
Circ_0049271 targets the miR-1197/PTRF axis to attenuate the malignancy of osteosarcoma
Authors: Wen Yixin , Xu Feng , Zhang Hui
Published: April 2024

BACKGROUND: Circular RNAs (circRNAs) perform key regulatory functions in osteosarcoma (OS) tumorigenesis. In this study, we aimed to explore the detailed action mechanisms of circ_0049271 in OS progression. METHODS: Cell colony formation, cell counting kit-8, and transwell assays were performed to assess the proliferation and invasion of OS cells. Quantitative reverse transcription-polymerase chain reaction and western blotting were used to determine the expression levels of polymerase 1 and transcript release factor (PTRF), microRNA (miR)-1197, and circ_0049271 in OS cells. Furthermore, RNA immunoprecipitation and dual luciferase assays were conducted to explore the targeted relationships among PTRF, miR-1197, and circ_0049271. Finally, a tumor formation assay was conducted to determine the effects of circ_0049271 on in vivo tumor growth in mice. RESULTS: High expression levels of miR-1197 and low levels of circ_0049271 and PTRF were observed in OS cells. circ _0049271 targeted miR-1197 to mediate PTRF expression. Moreover, the proliferation and invasion of OS cells were repressed by circ_0049271 or PTRF overexpression and increased by miR-1197 upregulation. Enforced circ_0049271 also impeded tumor growth in vivo. Upregulation of miR-1197 reversed the antitumor effects of circ_0049271 on OS progression in vitro; however, PTRF overexpression attenuated the cancer-promoting effects of miR-1197 on OS in vitro. CONCLUSIONS: Our findings revealed that circ_0049271 targeted the miR-1197/PTRF axis to attenuate the malignancy of OS, suggesting a potential target for its clinical treatment.
Cuproptosis-related gene-located DNA methylation in lower-grade glioma: Prognosis and tumor microenvironment
Authors: Zhu Liucun , Yuan Fa , Wang Xue , Zhu Rui , Guo Wenna
Published: April 2024

Cuproptosis a novel copper-dependent cell death modality, plays a crucial part in the oncogenesis, progression and prognosis of tumors. However, the relationships among DNA-methylation located in cuproptosis-related genes (CRGs), overall survival (OS) and the tumor microenvironment remain undefined. In this study, we systematically assessed the prognostic value of CRG-located DNA-methylation for lower-grade glioma (LGG). Clinical and molecular data were sourced from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. We employed Cox hazard regression to examine the associations between CRG-located DNA-methylation and OS, leading to the development of a prognostic signature. Kaplan-Meier survival and time-dependent receiver operating characteristic (ROC) analyses were utilized to gauge the accuracy of the signature. Gene Set Enrichment Analysis (GSEA) was applied to uncover potential biological functions of differentially expressed genes between high- and low-risk groups. A three CRG-located DNA-methylation prognostic signature was established based on TCGA database and validated in GEO dataset. The 1-year, 3-year, and 5-year area under the curve (AUC) of ROC curves in the TCGA dataset were 0.884, 0.888, and 0.859 while those in the GEO dataset were 0.943, 0.761 and 0.725, respectively. Cox-regression-analyses revealed the risk signature as an independent risk factor for LGG patients. Immunogenomic profiling suggested that the signature was associated with immune infiltration level and immune checkpoints. Functional enrichment analysis indicated differential enrichment in cell differentiation in the hindbrain, ECM receptor interactions, glycolysis and reactive oxygen species pathway across different groups. We developed and verified a novel CRG-located DNA-methylation signature to predict the prognosis in LGG patients. Our findings emphasize the potential clinical implications of CRG-located DNA-methylation indicating that it may serve as a promising therapeutic target for LGG patients.
Processing and optimized learning for improved classification of categorical plant disease datasets
Authors: Gupta Ayushi , Chug Anuradha , Singh Amit Prakash
Published: April 2024

PURPOSE: Crop diseases can cause significant reductions in yield, subsequently impacting a country’s economy. The current research is concentrated on detecting diseases in three specific crops – tomatoes, soybeans, and mushrooms, using a real-time dataset collected for tomatoes and two publicly accessible datasets for the other crops. The primary emphasis is on employing datasets with exclusively categorical attributes, which poses a notable challenge to the research community. METHODS: After applying label encoding to the attributes, the datasets undergo four distinct preprocessing techniques to address missing values. Following this, the SMOTE-N technique is employed to tackle class imbalance. Subsequently, the pre-processed datasets are subjected to classification using three ensemble methods: bagging, boosting, and voting. To further refine the classification process, the metaheuristic Ant Lion Optimizer (ALO) is utilized for hyper-parameter tuning. RESULTS: This comprehensive approach results in the evaluation of twelve distinct models. The top two performers are then subjected to further validation using ten standard categorical datasets. The findings demonstrate that the hybrid model II-SN-OXGB, surpasses all other models as well as the current state-of-the-art in terms of classification accuracy across all thirteen categorical datasets. II utilizes the Random Forest classifier to iteratively impute missing feature values, employing a nearest features strategy. Meanwhile, SMOTE-N (SN) serves as an oversampling technique particularly for categorical attributes, again utilizing nearest neighbors. Optimized (using ALO) Xtreme Gradient Boosting OXGB, sequentially trains multiple decision trees, with each tree correcting errors from its predecessor. CONCLUSION: Consequently, the model II-SN-OXGB emerges as the optimal choice for addressing classification challenges in categorical datasets. Applying the II-SN-OXGB model to crop datasets can significantly enhance disease detection which in turn, enables the farmers to take timely and appropriate measures to prevent yield losses and mitigate the economic impact of crop diseases.
Leveraging spark-based machine learning algorithm for audience sentiment analysis in youtube content
Authors: K Subha , N Bharathi
Published: April 2024

In today’s digital era, the generation and sharing of information are rapidly expanding. The increased volume of complex data is big data. YouTube is the primary source of big data. The proliferation of the internet and smart devices has led to a significant increase in content creators on social media platforms, with YouTube being a prominent example. There has been a substantial increase in content creators across various social media platforms, with YouTube emerging as one of the foremost platforms for content generation and sharing. YouTubers face challenges in enhancing content strategies due to the growing number of comments, such as big data on shared videos. Reading and finding viewers’ opinions of such a large amount of data through manual methods is time-consuming and challenging and makes it hard to understand people’s sentiments. To address this, spark-based machine learning algorithms have emerged as a transformative tool for content creators to understand the audience. The Improved Novel Ensemble Method (INEM) algorithm is designed to predict viewers’ sentiments and emotional responses based on the content they interact through the comments. The proposed results provide valuable insights for content creators, helping them refine the strategies to optimize the channel’s revenue and performance. Fit Tuber Channel is analyzed to perform the sentiment of user comments.
Enhanced image steganalysis through reinforcement learning and generative adversarial networks
Authors: Al-Obaidi Sumia Abdulhussien Razooqi , Lighvan Mina Zolfy , Asadpour Mohammad
Published: April 2024

With the surging prominence of digital communication platforms, there has been an intensified emphasis on ensuring robust security and privacy measures. Against this backdrop, image steganalysis has emerged as a critical discipline, employing advanced methods to detect clandestine data within image files. At the core of our research is an innovative exploration into image steganalysis using an amalgamation of enhanced reinforcement learning techniques and online data augmentation. This methodology ensures the meticulous identification of concealed data within images. Our design integrates triple parallel dilated convolutions, enabling concurrent extraction of feature vectors from the input images. Once extracted, these vectors are synthesized, paving the way for subsequent classification tasks. To substantiate the efficacy of our approach, we conducted tests on a comprehensive dataset sourced from BossBase 1.01. Furthermore, to discern the influence of transfer learning on our proposed model, the BOWS dataset was employed. Notably, these datasets present a challenge due to its inherent imbalance. To counteract this, we incorporated an advanced Reinforcement Learning (RL) framework. Herein, the dataset samples are envisioned as states in a sequence of interrelated decisions, with the neural network playing the role of the decision-making agent. This agent is then incentivized or reprimanded based on its accuracy in discerning between the minority and majority classes. To bolster our classification capabilities, we innovatively employed data augmentation using images generated by a Generative Adversarial Network (GAN). Concurrently, a regularization mechanism was instituted to alleviate prevalent GAN-related challenges, such as mode collapse and unstable training dynamics. Our experimental outcomes underscore the potency of our methodology. The results highlight a remarkable capability to discern between pristine and steganographic images, registering an average accuracy rate of 85%.
Systolic Tensor Core for Arithmetics calculations
Authors: Ibarra Carrillo Mario Alfredo , Montiel Pérez Jesús Yaljá , Molina Lozano Herón
Published: April 2024

Today, it is the amount of data that defines the existence of mankind. Scientists respond to the large amount of required calculations by developing hardware in several directions. One of them is to increase the number of arithmetic elements. Another direction is to create new architectures that represent new algorithms for processing numerical data. We have chosen the second direction by developing a new systolic core architecture, which implies an improvement in efficiency, i.e. performing the same task with the same number of arithmetic elements but reducing the latency. Measurements are made in terms of computational capacity and the number of arithmetic elements involved in the operations. The results of the tests are compared with data from a number of selected articles. Today, we have achieved 3.2GFlops with only two modules. In the future, we plan to integrate up to four of our cores in a system with its own memory and management processor and at a higher operating frequency.
Clustering android ransomware families using fuzzy hashing similarities
Authors: Rodriguez-Bazan Horacio , Sidorov Grigory , Escamilla-Ambrosio Ponciano Jorge
Published: April 2024

Recently, Android device usage has increased significantly, and malicious applications for the Android ecosystem have also increased. Security researchers have studied Android malware analysis as an emerging issue. The proposed methods employ a combination of static, dynamic, or hybrid analysis along with Machine Learning (ML) algorithms to detect and classify malware into families. These families often exhibit shared similarities among their members or with other families. This paper presents a new method that combines Fuzzy Hashing and Natural Language Processing (NLP) techniques to find Android malware families based on their similarities by applying reverse engineering to extract the features and compute fuzzy hashing of the preprocessed code. This relationship allows us to identify the families according to their features. A study was conducted using a database test of 2,288 samples from diverse ransomware families. An accuracy in classifying Android ransomware malware up to 98.46% was achieved.
Distribution of moments of order statistics from alpha power pareto distribution
Authors: Ihtisham Shumaila , Mustafa Ghulam , Qureshi Muhammad Nauman , Manzoor Sadaf , Alamgir  , Khan Adnan
Published: April 2024

This study explores the distribution of order statistics of the Alpha Power Pareto (APP) distribution. Alpha Power Pareto is a more flexible distribution proposed by adding an extra parameter in the well-known Pareto distribution. This paper focuses on the derivation of single and product moment of the APP order statistics. Additionally, a recurrence link for single moments of order statistics is established. Moreover, analytical formulas of Rényi and q-entropy for APP order statistics are obtained.
RETRACTED: Bi-directional ConvLSTM residual U-Net retinal vessel segmentation algorithm with improved focal loss function
Authors: Du Xin-Feng , Wang Jie-Sheng , Sun Wei-Zhen , Zhang Zhi-Hao , Zhang Yun-Hao
Published: April 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Privacy information protection of medical internet based on double chaos encryption algorithm
Authors: Huang Yonggang , Teng Teng , Li Yuanyuan , Zhang Minghao
Published: April 2024

In order to avoid the risk of patients’ private information leakage, this paper puts forward a research on the protection of medical Internet private information based on double chaotic encryption algorithm. This paper analyzes the quantification of risk indicators for privacy information protection of medical Internet, establishes the risk quantification structure of health care big data according to the quantitative calculation results, and puts forward the strategy of controlling access to health care big data, configuring the risk level, describing the attributes of the system database, and realizing the privacy information protection of medical Internet under the double chaotic encryption algorithm. The experimental results show that the real identity of patients is protected to a certain extent in the protection of private information of medical internet after applying this method. Moreover, this method has high storage integrity and small storage standard deviation, and the method in this paper can effectively resist network intrusion. Therefore, it shows that this method has a good effect of protecting private information of medical Internet.
A hybrid whale optimization algorithm for distributed no-wait flow-shop scheduling problem with batch delivery
Authors: Zhang Xin-jie , Li Jun-qing , Liu Xiao-feng , Tian Jie , Duan Pei-yong , Tan Yan-yan
Published: April 2024

Enterprises have increasingly focused on integrated production and transportation problems, recognizing their potential to enhance cohesion across different decision-making levels. The whale optimization algorithm, with its advantages such as minimal parameter control, has garnered attention. In this study, a hybrid whale optimization algorithm (HWOA) is designed to settle the distributed no-wait flow-shop scheduling problem with batch delivery (DNWFSP-BD). Two objectives are considered concurrently, namely, the minimization of the makespan and total energy consumption. In the proposed algorithm, four vectors are proposed to represent a solution, encompassing job scheduling, factory assignment, batch delivery and speed levels. Subsequently, to generate high-quality candidate solutions, a heuristic leveraging the Largest Processing Time (LPT) rule and the NEH heuristic is introduced. Moreover, a novel path-relinking strategy is proposed for a more meticulous search of the optimal solution neighborhood. Furthermore, an insert-reversed block operator and variable neighborhood descent (VND) are introduced to prevent candidate solutions from converging to local optima. Finally, through comprehensive comparisons with efficient algorithms, the superior performance of the HWOA algorithm in solving the DNWFSP-BD is conclusively demonstrated.
Complex smoke removal in image: Integrating frequency learning network with data synthesis method
Authors: Yang Yi , Huang Huiling , Wu FeiBin , Han Jun , Ma Mengyuan , Zhang Yantong , Feng Yanbing
Published: April 2024

This paper introduces a novel neural network architecture and an enhanced data synthesis method that significantly boost the performance in removing complex smoke from images. The architecture features a multi-branch and multi-scale feature fusion design, which effectively integrates multiple feature streams and adaptively restores the background by identifying specific smoke characteristics within the image. A newly designed Fourier residual block is incorporated to capture frequency domain information, enabling the network to process and transform information across both spatial and frequency domains. To improve the network’s generalization ability and robustness, an in-depth analysis of the imaging process in smoky environments was conducted, leading to an improved method for synthesizing smoke images. This methodology facilitates the creation of a more varied and realistic training dataset, substantially enhancing the neural network’s capabilities in image restoration. Experimental results show that this approach is highly effective on both synthetic and real-world smoke datasets, outperforming existing image de-smoking methods in terms of quantitative metrics and visual perception. The code for this method is available at https://github.com/Exiagit/MFSR.
Selecting drill size for post space preparation based on final endodontic radiographs: An in vitro study
Authors: Farid Farzaneh , Haider Julfikar , Shahab Marjan Sadeghpour , Rezaeikalantari Nika
Published: April 2024

BACKGROUND: For placement of intraradicular posts the intracanal filling material has to be removed. If drills are employed for this purpose, extra widening of the canal, incomplete cracks or root perforation are probable when inappropriate size of drill is used. OBJECTIVE: This in vitro study assessed the efficacy of radiographs taken after completion of root canal therapy in selecting the appropriate-sized Peeso reamer for post space preparation. METHODS: Canals of 53 extracted maxillary and mandibular teeth of different types were cleaned and shaped. Then with acrylic resin 3-dimensional model of the intracanal space of each tooth was fabricated. Next, all canals were filled with gutta-percha and teeth were radiographed buccolingually. Based on these radiographs two observers selected a Peeso reamer that best matched each canal’s diameter. The diameter of the selected Peeso reamer was compared to the diameter of the corresponding resin model of each canal by two independent observers and the difference was measured. The data were analyzed by paired sample t-test using SPSS version 22. RESULTS: The diameter of the selected Peeso reamers ranged from 0.21 mm smaller to 0.12 mm larger than the diameter of intracanal spaces. The difference between reamer and resin model was less than 0.1 mm in 75% of the cases. CONCLUSION: The result of this study suggests that post-operation endodontic radiographs are reliable means for selecting a size of Peeso reamer that does not encroach on dentinal wall during removal of intracanal filling material and post space preparation.
Describing the impact of psychological safety on risk prevention: A threshold model construction
Authors: Kang Liangguo
Published: April 2024

BACKGROUND: Like other things, psychological safety has a too-much-of-a-good-thing effect on the risk prevention process. There are warranted systematic and theoretical discussions on both positive and negative influences of psychological safety, which provide useful guides to handling potential risks for workers. OBJECTIVE: This study focuses on the psychological safety analysis of work safety for workers in high-risk industries through the construction of a theoretical model, illustrating that a higher level of psychological safety is not better. METHOD: This study explores the impact of workers’ psychological safety on the potential risk of work safety by conducting a comprehensive analysis of relevant literature and employing inductive reasoning and analogy methodology. RESULTS: We systematically reviewed the research background and several hypotheses of psychological safety, described the relationship between psychological safety and risk prevention from three levels, and constructed the threshold initial, special, and extended model of psychological safety to reveal the importance of workers’ psychological safety when handling potential risks. CONCLUSION: This research effectively describes the influence of high, moderate, and low levels of psychological safety on the risk prevention of work safety, which provides a psychological model guide to developing measures for the improvement of work safety management.
Assessment of occupational musculoskeletal disorders (MSDs) among heavy vehicle drivers
Authors: Raza Mohammad , Bhushan Rajesh Kumar , Khan Abid Ali
Published: April 2024

BACKGROUND: Professional driving requires long hours of work, uncomfortable seats, negotiating rough terrain and highways, and possibly minor repairs and other auxiliary transportation duties. Heavy vehicle drivers driving vehicles such as trucks, bulldozers, etc. due to such working structures are more prone to various musculoskeletal disorders (MSDs) and pain, which is of great concern. OBJECTIVES: In the present study, it is planned to investigate possible ergonomic risk factors such as age, weight, driving exposure, seat suspension systems, lifting heavy weights causing MSDs in drivers of various heavy vehicles. The results of the study are expected to help drivers reduce the risk of MSDs. METHODS: For the present study, the Nordic questionnaire on musculoskeletal disorders was modified and standardized and was administered to the 48 heavy vehicle drivers randomly selected to collect the data. RESULTS: The analysis divulged that over the past 12 months, lower back pain (LBP) emerged as the most dominant pain experienced by 56% of drivers, followed by knee pain (KP) (43%) and neck pain (NP) (39%) respectively. The prevalence of shoulder pain (SP) was observed to be much lower than in previous literature. The logistic regression model further revealed that increasing age, poor suspension system and poor body posture were significantly associated with lower back pain. Additionally, a poor suspension system and lifting heavy weights had significant effect on the drivers’ knee pain. CONCLUSION: The results demonstrated the evident necessity for ergonomic consideration in vehicle designing and ergonomic training for heavy vehicle drivers.
Foucauldian Resistance in Dave Eggers' The Circle
Authors: Raj Paramaguru , Tamilselvi P.
Published: April 2024

The paper titled “Resistance in _The Circle_: A Foucauldian Perspective” is analysing the work of dystopian fiction from the perspective of Foucauldian resistance. The paper is structured in a way to depict how power politics is constructed through technical knowledge and how the concept of resistance is crept into existence due to digitized dominance. Later, this study depicts how power sustains its position amidst much resistance by nipping the inimical/resistive ideology in the bud itself by manipulating sophisticated technology. Besides, it exposes that multiple points of resistance are not united together to form a single force. This inherent weakness of the resistive forces serves as a cause for notwithstanding the power politics of the company. In addition to this, how the company shatters political power through strategic resistance and exploits the situation in a skillful manner to hold power.
Biosynthesis of Staphylococcus aureus OS-silver nanoparticles and their antimicrobial and protective effects on coated paper money
Authors:   Department of Microbiology, The Federal University of Technology, PMB 704, Akure, Nigeria, Olusola-Makinde Olubukola Olayemi , Ajayi Olayiwola Sola ,   Department of Microbiology, The Federal University of Technology, PMB 704, Akure, Nigeria,Department of Agricultural Science, Adeyemi Federal University of Education, Ondo, Nigeria, Ogidi Clement Olusola ,   Department of Food Science and Technology, Olusegun Agagu University of Science and Technology, PMB 353, Okitipupa, Nigeria
Published: April 2024

Introduction: Currency notes harbor and transmit infectious microorganisms if handled without proper care. Hence, in this study, silver nanoparticles biosynthesized from autochthonous S. aureus OS (S-AgNPs) isolated from Nigeria currency notes (Naira) were used to assess the antimicrobial activity of S-AgNPs against the pathogenic money microbiome and to determine their protective effect on coated currency notes.

Methods: Naira notes (15) each, were randomly collected from poultry product sellers, food vendors, fish, sellers, and shopkeepers in Ondo City, Nigeria. A molecular tool was used for the identification of bacterial isolates using 16S ribosomal RNA gene sequences. Staphylococcus aureus-silver nanoparticles (S-AgNps) were characterized by UV‒visible spectroscopy. The antibacterial and antifungal activities of the biosynthesized S-AgNPs against isolated microorganisms were determined using the agar well diffusion method.

Results: A total of one hundred and twenty (120) S-AgNP-coated and non-coated papers were improvised as currency notes and randomly distributed among preinformed business owners. The highest bacterial count of 7.90 cfu/mL was recovered from Naira notes collected from food vendors. The highest fungal count of 4.70 cfu/mL on the Naira note was collected from poultry product sellers. S. aureus had the highest frequency of 29.60%. At 5.0 µg/mL, the S-AgNPs had the greatest inhibitory effects (17.30 mm) on Streptococcus pyogenes and Rhizopus stolonifer. The provided currency notes coated with the biosynthesized S-AgNPs showed no growth of microorganisms. Biosynthesized S-AgNPs showed pronounced antimicrobial potential against pathogenic microorganisms isolated from currency (Naira notes).

Conclusion: AgNPs can be used as coating agents during currency production to minimize the spread of disease-causing pathogenic microorganisms.
THE INFLUENCE OF PROFITABILITY RATIOS, DER, PBV, AND COVID19 ON STOCK RETURNS
Authors: Lee Albert , Yulfiswandi Yulfiswandi
Published: April 2024

Investment is one of the activities that influences the growth of the Indonesian economy. Investment not only helps in economic development in Indonesia but also helps companies optimize their growth and provide a good response to investors. Investors have the main goal, namely achieving high returns or stock returns. However, high returns can also carry high risks, because shares have no certainty that they will rise or fall quickly and suddenly. Sudden changes in stock prices play an important role in determining stock prices and returns which can rise or fall very sharply so that they can create uncertainty for investors in making decisions to invest in a stock. The aim of this research is to determine the effect of PBV, ROE, NPM, EPS, DER, COVID on stock returns. To find out what factors cause what, this research uses a comparative causal research strategy. Companies in the Financial sector (consisting of 106 shares) which are included in the Composite Stock Price Index (also called IHSG) are the focus of this research. Data is taken from the application (Stockbit), in obtaining financial data. that researchers will use (idx.co.id). PBV has a positive effect on stock returns. Meanwhile, ROE, NPM, EPS, DER, COVID have no effect on stock returns
Literature Review: Gambaran Efektivitas Penggunaan Media Video terhadap Pengetahuan Remaja Tentang Bahaya Narkoba
Authors: Faridhotul Khasanah Alfin Nur , Handayani Dwi , Ibad Mursyidul , Adriansyah Agus Aan
Published: April 2024

Latar Belakang: Kenakalan remaja yang terus meningkat dapat merusak generasi penerus bangsa. Salah satu bentuk kenakalan remaja adalah penyalahgunaan penggunaan obat-obat terlarang (Narkoba). Penyalahgunaan dan peredaran narkoba di kalangan pelajar/mahasiswa Indonesia pada tahun 2018 di 13 Ibu kota provinsi, mencapai angka prevalensi sebesar 3,20% atau setara dengan 2.297.492 orang dari 15.440.000 orang. Tujuan: Penelitian ini bertujuan untuk mengetahui efektivitas penggunaan media video terhadap pengetahuan remaja tentang bahaya narkoba. Metode: Literature review ini dilakukan dengan metode traditional literature review. Sumber artikel didapatkan dari database google cendekia dan portal garuda. Pada google cendekia menggunakan kata kunci “media promosi kesehatan narkoba pada remaja” dengan rentang waktu dari tahun 2013-2020 diperoleh 8 artikel, portal garuda menggunakan kata kunci “narkoba dan video” dengan rentang waktu daru tahun 2016-2020 diperoleh 2 artikel, sehingga total artikel yang didapat yaitu 10 artikel. Hasil: Hasil literature review berdasarkan 10 jurnal penelitian mengenai efektivitas media video terdapat 9 jurnal penelitian yang menyatakan adanya pengaruh penyuluhan narkoba menggunakan media video terhadap peningkatan pengetahuan remaja tentang narkoba dan 1 jurnal penelitian yang menyatakan media video kurang efektif dalam memengaruhi pengetahuan remaja tentang narkoba pada saat penyuluhan. Kesimpulan: penggunaan media video efektif dalam meningkatkan dan merubah pengetahuan remaja tentang bahaya narkoba pada saat penyuluhan. Oleh karena itu, saran dari penelitian ini bagi tenaga kesehatan diharapkan dapat memperluas ruang lingkup materi dengan pembahasan yang lebih mendalam. Sehingga dapat meningkatkan pengetahuan dan pemahaman dalam penyuluhan
Uji Kualitas Kimia Kompos Pada Pengomposan Aerob Dengan Menggunakan Insang Ikan Cakalang Dan Menggunakan Tapai Ubi
Authors: Purwiningsih Dwi Wahyu , Sidebang Purnama
Published: April 2024

Latar Belakang: Mikroorganisme lokal (MOL) yaitu mikroorganisme yang dimanfaatkan sebagai starter dalam pembuatan pupuk organik padat maupun pupuk cair. Bahan utama MOL terdiri dari beberapa komponen yaitu karbohidrat, glukosa, dan sumber mikroorganisme. Bahan dasar untuk fermentasi larutan MOL dapat berasal dari hasil pertanian, perkebunan, maupun limbah organik rumah tangga, salah satunya adalah MOL Tapai Ubi.Tujuan: Tujuan penelitian Untuk mengetahui Uji Kualitas Kimia Kompos Pada Pengomposan Aerob Dengan Menggunakan Insang Ikan Cakalang Dan Menggunakan Tapai Ubi. Metode: Penelitian ini merupakan penelitian experimen dengan membandingkan nilai NPK pada kompos menggunakan ikan cakalang dan menggunakan tapai ubi Hasil: Hasil penelitian ini menunjukan bahwa proses pengomposan yang dilakukan selama 21 hari di dapatkan hasil NPK pada kompos insang ikan cakalang pada nilai N = 5,276% P = 6,243% dan K = 10,527% sehingga dikatakan indikator K memenuhi syarat SNI 2803:2010 yaitu nilai berada pada angka 8-15%. Sedangkan nilai N dan P tidak memenuhi standar SNI. NPK pada kompos MOL tapai ubi pada nilai N = 5,332% P = 5,143% dan K = 10,391% sehingga dikatakan indikator K memenuhi syarat SNI 2803:2010 yaitu nilai berada pada angka 8-15%. Sedangkan nilai N dan P tidak memenuhi standar SNI. NPK pada kompos kontrol pada nilai N = 4,763% P = 7,841% dan K = 10,452% Kesimpulan: Indikator K memenuhi syarat SNI 2803:2010 yaitu nilai berada pada angka 8-15%. Sedangkan nilai N dan P tidak memenuhi standar SNI.
PENGARUH FREE CASH FLOW TERHADAP MANAJEMEN LABA
Authors: Nasuki Ina
Published: April 2024

Laba atau keuntungan diperlukan oleh perusahaan untuk dapat melangsungkan kehidupan perusahaan. Pada suatu laporan keuangan perusahaan, laba merupakan salah satu informasi potensial yang sangat penting baik untuk pihak internal perusahaan maupun pihak eksternal perusahaan, namun informasi laba tidak selamanya akurat karena terkadang informasi laba sering digunakan sebagai target memanipulasi melalui tindakan oportunis manajemen dalam memenuhi kepuasannya. Penelitian ini bertujuan untuk menguji pengaruh Free Cash Flow terhadap Manajemen Laba pada perusahaan-perusahaan di Indonesia yang terdaftar di Indeks LQ-45. Pengumpulan data menggunakan metode purposive sampling terhadap perusahaan yang terdaftar dalam Indeks LQ-45 selama 2016-2017. Terdapat 40 perusahaan yang konsisten terdaftar dalam Indeks LQ-45 2016-2017 jumlah keseluruhan sampel dalam penelitian ini yaitu 80 sampel.  Langkah utama yang dilakukan dalam penelitian adalah uji asumsi klasik dilakukan terlebih dahulu lalu melakukan Uji Chow, Uji Hausman. Hasil penelitian analisis parsial menunjukan free cash flow memiliki pengaruh positif dan signifikan terhadap terhadap manajemen laba  pada perusahaan LQ 45 periode 2016-2017
Chronic Child Malnutrition in Ecuador and Associated Risk Factors
Authors: Moreira-Moreira Zoila , Guevara-Cando Denise , Paredes-Oñate Gabriela , Cabezas-Lucio Ángel , Nazareno-Valencia Yimy , Villacis-Aveiga Marlon , Avellán-Cevallos Génesis , Prieto-Cuesta Emma , Valle-Hidalgo María , Hector Guerrero-Maila
Published: April 2024

Chronic child malnutrition worldwide is responsible for 45% of deaths in children under 5 years of age. In Ecuador, 27.2% of children suffer from any type of malnutrition. This problem has alarming consequences since it affects the country's productivity and has an impact throughout the individual's life, since at this stage the greatest impact is suffered by the child's brain, in which irreversible metabolic and structural alterations occur. However, child malnutrition is not only a problem of lack of food, it is a deeper social conflict that must be considered when providing solutions. A nationally representative sample of children under 5 years of age from the National Health and Nutrition Survey 2018 (ENSANUT) was used. A binary logistic linear regression model was used where Odds Ratio (OR) with their 95% confidence intervals (95% CI) were estimated for each of the independent variables. Our results reveal that family income reduces the probability of child malnutrition by 2.03 times. In addition, micronutrient intake during 6 months to 2 years of age reduces the probability of child malnutrition by 2.32 times (OR= -1.91 ; -3.02). This result is statistically significant (p<0.05). On the other hand, unemployment, being out of the labor force (in the mother) having a greater number of children at home, working more hours and being a migrant mother also positively predicts the probability of suffering from chronic child malnutrition.  Malnutrition is one of the main health problems in Ecuador. It affects a significant percentage of the population and, associated with other factors, is responsible for most of the avoidable mortality and considerable damage to children's health. For this reason, strategies should include epidemiological surveillance, promotion.
Fostering Nationalism among University Students in Indonesia: A Communal Perspective
Authors: Purwaningsih Endang , Kanukisya Blackson
Published: April 2024

This study’s primary aim is to investigate globalization’s impact on nationalism in Indonesia, specifically focusing on the youth population. The research seeks to understand how globalization influences nationalist sentiments, particularly in the context of the Indonesian educational system. The chosen methodology centers around implementing a Civic Education learning model, aiming to activate and enhance nationalism values among students. The research employs a structured approach, utilizing a test on nationalism knowledge administered before and after implementing the Civic Education learning model. This method allows for a comprehensive assessment of the potential impact of the learning model on students’ understanding of nationalism. The analysis involves measuring the mean score difference between pre-test and post-tests, employing statistical calculations such as mean difference, the standard deviation of the difference, the standard error of the mean difference, and calculated t-values. Additionally, behavioral-scale tests are conducted to evaluate the mean score difference in students’ nationalism behavior. Quantitative calculations and analyses are employed to substantiate the research hypothesis. The statistical findings indicate a significant influence of the Civic Education learning model on students’ knowledge of nationalism and behavior. The mean score differences before and after the model’s implementation and the calculated t-values provide robust evidence of the positive impact on students’ nationalist sentiments. The study extends its contribution to pedagogy by demonstrating the efficacy of alternative teaching methods, specifically in Civic Education. The findings suggest that implementing the Civic Education learning model enhances practical application and holds promise in strengthening Indonesia’s global influence. The research aligns with established concepts of nationalism, emphasizing the actualization of patriotism through the collective development of clear national goals and objectives. The study aims to contribute meaningful insights to the ongoing discourse on nationalism in Indonesia, particularly among the youth.
Chafe And Sitkoff, Eds. A History Of Our Time - Readings On Postwar America
Authors: Trollinger William
Published: April 2024

A good anthology can be enormously valuable in a college history course, allowing the students to sample a variety of writers and sources without requiring that they spend enormous sums of money or read an enormous number of pages. Good anthologies, however, are not easy to come by, and bad anthologies simply clutter a course.
Making History Come Alive
Authors: Drake Frederick , Corbin Denee
Published: April 2024

People of all ages Jove a story that involves heroes and villains. They particularly like to observe characters confronted with difficult choices and personal decisions over issues with relevance to their Jives. That is why biography is popular with students of all ages. It provides a personalized account of the past through the humanized perspective of a single historical figure. Even more engaging is a Jive dramatization, especially for students. It enlivens history by making the dead past come alive.1 In presenting the life and times of people and events through dramatization, a teacher can bridge the gap in the battle between the "old" and "new" history.2 We believe a teacher should emphasize both political and social history, allowing students to pose questions to historical figures addressing the full realm of historical conditions.