bluuebunny/crossref_metadata_2025 huggingface dataset:
To Compare the Fixation of Distal Humerus Fracture by Orthogonal (90°–90°) Plating Versus Parallel Plating in Adults
Authors: Shakunt Rajendra Kumar , Mittal Vivek , Chahar Hemant , Kumar Mrityunjai
Published: August 2024

Introduction:

A distal humerus fracture is defined as a fracture within a square of the lower end of the humerus where the base is the distance between the epicondyles of the humerus on an anteroposterior view of the radiograph. The most distal humerus fractures are due to high-energy trauma, such as road traffic accidents in adults, and in the elderly due to low-energy injuries, such as trivial falls. The purpose of this study was to analyze and evaluate the comparison of fixation of distal humerus fracture by orthogonal and parallel plating in adults.

Materials and Methods:

A prospective study was done among 30 patients having distal humerus fractures. The distal humerus fractures were managed with anatomical locking plates by orthogonal and parallel plating techniques through posterior approach and reduction, stable fixation, and functional outcome were assessed by using Mayo Elbow Performance Score (MEPS).

Results:

The results revealed that all patients were followed up by using MEPS scoring and X-ray of the elbow in anteroposterior and lateral view. In our study, road traffic accidents were the most common mode of injury and the mean age was 43 years. By using the MEPS score, the results were excellent for 9 patients, good for 13 patients, fair for 3 patients, and poor for 5 patients. After comparison between orthogonal and parallel plating groups, there was no significant difference in the total range of flexion and extension, MEPS, and flexion–extension arc.

Conclusion:

The results conclude that in the management of distal humerus fracture, the plates applied orthogonally have no significant difference compared with the parallel plating technique. The plates applied in the orthogonal and parallel configuration by using appropriate surgical techniques provided stable fixation and anatomical reduction of distal humerus fractures.
Use of Esmarch Bandage in Adult Orthopedic Lower Limb Surgery in the Modern Era: A Review of Safeguards
Authors: Tomar Lavindra , Govil Gaurav
Published: August 2024

An Esmarch bandage has commonly been used to achieve a bloodless field during adult orthopedic limb surgery. The exsanguination achieved effectively provides a clear field during surgical procedures. In the modern era, the use of Esmarch bandage presents its own challenges. The characteristics of the bandage limit its indications. The complications and effects associated with its use further dissuade orthopedic surgeons from using it in present-day practice. The use of the bandage along with tourniquet application for lower limb arthroplasty procedures has been considered as a technique to limit blood loss, provide a bloodless field, and shorten the duration of the operation. Safeguards need utmost attention and careful execution to achieve the desired outcome in lower limb surgery.
Lumbar Epidural Abscess Presenting as Cauda Equina Syndrome: A Rare Case with Literature Review
Authors: Jilani Latif Zafar , Istiyak Mohammad
Published: August 2024

Pyogenic epidural abscess is a rare illness that can occasionally present like cauda equina syndrome. It may quickly advance and result in long-term neurological paraplegia. This case involves a 17-year-old female who had been experiencing backache for 2 weeks and weakness in her right lower limb for 1 week. She was managed conservatively. Our case is distinctive in that, despite a magnetic resonance imaging diagnostic of the tuberculosis spine, it was ultimately determined to be of pyogenic origin and was treated as such.
A Comparative Study of Proximal Femoral Nail Antirotation Versus Intertan Nail in the Treatment of Pertrochanteric Fractures in a Tertiary Care Center
Authors: Kumar Sanjiv , Kumar Deepak , Kumar Dharamendra , Kumar Ashish , Pratap Priyank , Gautam Nayank , Raza Muhammad Shahid , Sharma Santosh , Sharma Devendra
Published: August 2024

Introduction:

Intertrochanteric fractures (IT) are defined as fractures that occur between the greater and lesser trochanters of the proximal femur outside the femoral head. Most of the fractures are unstable. There are two common approaches used for IT fixation, including intramedullary nails and extramedullary fixations, using screws or plates. Internal fixation via these methods provides established benefits, such as immediate pain relief, rapid mobilization for the patient, accelerated rehabilitation, and maintenance of independent living capabilities. Various methods of internal fixation are present but we decided to compare the InterTan and proximal femoral nail antirotation (PFNA) due to a lack of research in Indian patients.

Materials and Methods:

A total of 52 patients with IT treated using InterTAN (27) and PFNA II (25) were included in the study, in the state of Uttar Pradesh, India, and the accompanying northern part of the country according to the inclusion criteria. Both groups were then clinically and radiologically followed for 2 years to evaluate outcomes.

Results:

The results revealed that patients were evaluated over 2 years using various criteria to compare the PFNA II and IT nail implants.

Conclusion:

This study concludes that the InterTan nail is a better option compared with the PFNA II in terms of the lesser cut-out rate, better reduction, and stable fixation in unstable IT in elderly patients with fewer complications. However, for patients with complex greater trochanter fractures, lateral cortex fractures of the proximal femur, or who are not fit candidates for surgery, the PFNA II implant may be a suitable treatment option due to its less operating time and simple design.
Factors Affecting Choice of Subspecialisation amongst Orthopaedic Surgery Residents in Southern Nigeria
Authors: Imediegwu Kelechi U. , Igwe Ozioma P. , Onyebuchukwu Chiamaka Q. , Okonkwo Kenechukwu J. , Ngwu Amarachi O. , Nduka Agenu P. , Okeke Kosisochukwu , Anya Jonah P. , Onyesoro Chinedu S. , Akunna James-Ibe S. , Oladiran Ajibola B.
Published: August 2024

Background:

As the field of surgery continues to evolve, subspecialty training is fast becoming integral to surgical education. Presently, orthopaedic surgery residents have opportunities to subspecialise in different areas.

Objectives:

The aim of this study was to determine the factors affecting the choice of desired subspecialties amongst orthopaedic surgery residents in southern Nigeria.

Materials and Methods:

This study was a cross-sectional study conducted amongst senior orthopaedic surgery residents in southern Nigeria. A well-structured questionnaire designed using the free software Google Forms was electronically distributed to senior orthopaedic residents in Nigeria through online forums (WhatsApp, email, and Telegram). Data obtained were analysed using IBM Statistical Product and Service Solutions version 26. The odds ratio and the associated 95% confidence interval were used to assess outcomes, and a P value <0.05 defined that the difference was statistically significant.

Results:

At the end of the study period, 53 orthopaedic surgery senior residents completed and submitted the questionnaire with a response rate of 73.6%; 50.9% were married with children and 49.1% were single. The most agreed key factor influencing the choice of orthopaedic surgery subspecialisation from the study was lifestyle considerations (79.2%). Other major factors considered to be also very important were the needs of the region (73.6%), active mentorship (71.7%), ergonomics (64.6%), rotation experiences (47.2%), cost of acquiring the training (41.5%), and salary and financial privileges (37.7%). Overall, 24.5% of respondents chose spine surgery as their desired subspecialty, 18.9% arthroplasty, 17% arthroscopy, 17% paediatrics, 13.2% reconstructive orthopaedics, 5.7% musculoskeletal oncology, and 4.7% hand and foot surgery. Our study revealed a significant statistical relationship between having children and choice of a subspecialty (Fischer’s = 0.032; χ2 = 0.033), as the married female residents tend to have more family considerations in their final choice of subspecialisation.

Conclusion:

The choice of orthopaedic surgery subspecialisation amongst orthopaedic surgery residents in southern Nigeria is affected by different factors, such as mentorship, needs of region, desire to work in academic settings, and ergonomics.
Educational Intervention Can Improve the Pilot Balloon Palpation Method of Tracheal Tube Cuff Pressure Monitoring: An Experimental Study
Authors: Nwosu Arinze Duke George , Ossai Edmund Ndudi , Ejezie Chijioke , Obodo Odichimma Callista
Published: August 2024

Background:

Considerable morbidity is attributable to inappropriate tracheal cuff pressure. An earlier study undertaken in our hospital revealed that a normal cuff pressure of 20–30 cm H2O was achieved in only 6% of intubated patients using subjective estimation methods.

Objective:

To determine whether a training intervention could improve the accuracy of the subjective estimation method in our tracheal cuff monitoring.

Materials and Methods:

A 1-day training session was conducted in April 2022 for our anaesthesia providers. The cuffs of different sizes of endotracheal tubes were inflated to 25 cm H2O, and each staff was requested to feel the turgor of the pilot balloon. Subsequently, anaesthesia providers used pilot balloon palpation for the regulation of the tracheal cuff pressure in consecutive patients undergoing general anaesthesia with endotracheal intubation. During each intubation, a manometer was used to crosscheck the inflated cuff pressure objectively. The incidence of post-operative sore throat was also evaluated. The obtained outcomes were compared with pre-intervention data obtained from an earlier study conducted in the health facility from October 2020 to September 2021. Significant differences were considered when P < 0.05.

Results:

The mean tracheal cuff pressure was improved post-intervention (49.2 ± 24.1 cm H2O versus 77.1 ± 31.1 cm H2O; P < 0.001). A significantly higher proportion of tracheal cuffs (20%; 31/156) were inflated within the normal range compared to 6% (9/141) prior to the intervention (P = 0.003). Fewer patients developed post-operative sore throat following the educational intervention (32.8%; 41/125) versus pre-intervention (47.7%; 53/111; P = 0.019).

Conclusion:

The educational intervention improved the safety of tracheal cuff management, which could positively impact airway management, especially in poor resource settings without cuff manometers.
Total Femur Replacement as a Salvage Procedure for Failed Distal Femur Megaprosthesis: A Case Report and Literature Reviews
Authors: Ugbeye Michael Ebiyon , Alatishe Kehinde Adesola , Lawal Wakeel Olaide
Published: August 2024

Total femoral replacement (TFR) is not a common surgery and most indications are for oncological pathologies. However, there are few instances where non-oncological indications might necessitate TFR; this may be a salvage surgery for failed previous hip and/or knee surgeries with consequent significant femur bone loss. We present a 59-year-old obese woman with right thigh pain and difficulty with walking of 5 years duration. She had undergone bilateral total knee replacement 10 years earlier on account of severe knee osteoarthritis. She had a fall 3 years prior to presentation and sustained a periprosthetic fracture around the right knee which was managed with a fixed angle blade plate and screws. This was complicated by implant breakage and non-union. She subsequently had implant removal and a right distal femur replacement (DFR) surgery 2 years prior to presentation. A year after the DFR surgery, she began to experience “start-up” pain, instability around the knee and difficulty with walking without support. A clinical and radiologic diagnosis of aseptic loosening of the distal femur megaprosthesis was made and she was offered a revision DFR surgery which also failed due to poor cementing technique, bone loss at the proximal femur, and severe osteoporosis. Patient ended up with a right total femur replacement to salvage the limb. She had improved Lower Extremity Functional Score of 27 after 12-month follow-up. TFR is a viable salvage procedure for severely compromised femur and/or significant bone loss from multiple non-oncological surgeries of the femur.
Case Finding and Management of Childhood Cataracts: The Role of a Child Eye Health Programme in Kaduna State, Nigeria
Authors: Aminatu AbdulRahman , John Buchan , Nazaradden Ibrahim , Sunday Isiyaku , Richard Bowman , Amina Hassan , Mahmoud Alhassan , Bunce Catey
Published: August 2024

Objective:

To evaluate the output of a child eye health programme in terms of identification, referral, and volume of paediatric cataract surgeries in Kaduna State, Nigeria.

Materials and Methods:

This was a retrospective review of the North-West Nigeria Child Eye Health Initiative programme referral registers at primary, secondary and tertiary hospitals in Kaduna State. Theatre registers of children 0–16 years who had cataract surgery at National Eye Centre Kaduna between 2016 and 2019 were also reviewed. Information on numbers of children, age, sex, laterality of cataract and programme status were summarised as frequencies, percentages and mean ± standard deviation. The initial 2 years of the programme (2018–2019) were compared with the 2 years (2016–2017) preceding them.

Results:

Between January 2018 and December 2019; primary health workers screened 41,552 children and referred 2,316 (5.6%). Of those referred 1772 (76.5%) presented at one of three zonal secondary hospitals where nurses identified 492 (27.8%) with leukocoria using torchlights and referred them to the tertiary hospital. At the tertiary hospital, 364 (74.0% of 492) attended and 262 (72.0% of 364) were confirmed to have operable cataracts after dilated slit lamp examination by ophthalmologists. Between 2016 and 2017 (pre-programme years), 201 children had cataract surgery compared to 352 in 2018 and 2019 (programme years) of whom 239 (67.9% of 352) were beneficiaries of the programme. The proportion of girls who had cataract surgery declined from 39.8% to 35.0%, while mean age increased from 5.7 ± 4.2 years to 7.5 ± 4.1 over 4 years. More children with unilateral cataracts (214 [60.8%]) presented during the programme years (Fishers exact test, P = 0.004), whereas unilateral cataract (207 [60.2%]) was significantly more common in males than females (Fisher’s exact P = 0.017).

Conclusion:

The programme has resulted in improved case detection of childhood leukocoria at primary eye care level. additionally, the eye health referral system in Kaduna State has been strengthened with increasing numbers of children accessing services: majority boys, older children, and unilateral cataracts.
Soluble triggering receptor expressed on myeloid cells: a marker for diagnosis of spontaneous bacterial peritonitis
Authors: Mohamed Mahmoud H. , Attia Taher E.-D. , Ghafar Muhammad T.A. , Elkholy Reham A.K.
Published: August 2024

Background

Spontaneous bacterial peritonitis (SBP) affects patients with liver cirrhosis. Many studies investigated Triggering receptor expressed on myeloid cells-1 (TREM-1) for diagnosis of bacterial infections.

Aim

To assess the value of serum and ascitic fluid (sTREM-1) for the detection of SBP among cirrhotic patients with ascites.

Patients and method

sTREM-1 level was measured in the serum and ascitic fluid of 25 ascitic patients with SBP (group 1) who were compared with 20 ascitic patients without SBP (group 2).

Results

STREM-1 in ascitic fluid and in serum, were significantly higher in group 1 than in group 2 (P value <0.001 and P value <0.001), respectively. STREM-1 in ascitic fluid can significantly predict SBP at cut-off greater than 123.8 pg/ml with 80% sensitivity, 70% specificity. STREM-1 in serum can significantly predict SBP at cut-off greater than 121.7 pg/ml with 68% sensitivity, 65% specificity. The combination of sTREM-1 in ascitic fluid and sTREM-1 in serum using receiver operating characteristic (ROC) curve analysis for SBP detection was calculated as (P<0.001 and area under the curve = 0.894) with 80% sensitivity, 75% specificity. The combination of sTREM-1 in ascitic fluid and serum did not differ significantly as regards area under the curve when compared with sTREM-1 in ascitic fluid alone (P=0.110).

Conclusion

sTREM-1 in serum and ascitic fluid may be considered as markers to identify SBP. Combined sTREM-1 in ascitic fluid and serum had no additional benefit.
The added value of diffusion-weighted imaging to dynamic MRI in detecting and characterizing hepatic focal lesions
Authors: Elsodany Ahmed H. , Eltomey Mohamed A. , Rabea Mohamed Y. , Nassar Ibrahim A.
Published: August 2024

Background

Noninvasive diagnostic methods of hepatic lesions are often accomplished using contrast material-enhanced computed tomography and magnetic resonance imaging. Diffusion-weighted imaging (DWI) has evolved as a standard technique in liver imaging.

Aim

The work aimed to evaluate the added value of DWI to magnetic resonance imaging in identifying and characterizing hepatic focal lesions.

Patients and methods

In all, 100 participants having the clinical criteria of hepatic focal lesions detected on ultrasound or computed tomography screening were involved in our research. Dynamic magnetic resonance imaging of the liver and DWI were done.

Results

Correlation between the nature of lesions, magnetic resonance imaging findings, and comorbidity of liver cirrhosis show a highly statistically significant difference between benign and malignant hepatic focal lesions according to DWI and apparent diffusion coefficient (ADC) values. Receiver-operating characteristic curve analysis between the nature of lesions and lesions’ ADC value shows that at a cutoff value less than or equal to 1.5 (×10-3mm/s), with a sensitivity of 61.76% and specificity of 90.32%. It can predict malignant lesions with an area under the curve of 0.745 and a significant P value of less than 0.001.

Conclusion

DWI could identify malignant and benign hepatic tumors through ADC values producing high sensitivity and specificity; moreover, it is possible to identify subgroups of hepatic lesions depending on such values.
Volumetric study of the hippocampus and amygdala in normal human brain during childhood and adolescence
Authors: Nofal Farida H.M. , Abo Elala Aml M.A. , Nosseir Nermin S. , Ismail Radwa R.A.
Published: August 2024

Background

The hippocampus and amygdala play critical roles in memory, emotion, and learning, so understanding their development is essential for comprehending how these functions mature throughout life.

Aim

Study volumetric changes of the hippocampus and amygdala in the normal human brain across childhood and adolescence.

Patients and methods

Sixty healthy Egyptian persons of both sexes aged between 6 and 21 years were recruited from the Faculty of Medicine, Tanta University. Three age groups were formed based on the following ranges: group I: 24 people (6–10 years), group II: 19 persons (11–15 years), and group III: 17 people (16–21 years). Three-dimesnional T1 sequence was conducted using a slice thickness of 0.5 mm. Brain images were sent to a personal computer workstation, where the slicer 5.0.2 was used to generate consistent morphometric measurements by manual tracing.

Results

The mean values of hippocampus-corrected volumes in each group revealed right asymmetry, but amygdala-corrected volumes exhibited no difference (P>0.05) between the right and left hemispheres. Regarding the total corrected hippocampus and amygdala volumes, there was a highly significant increase in early adolescence compared with childhood, followed by a highly significant decline in group III (late adolescent).

Conclusion

Volumes of corrected hippocampus and amygdala increased during childhood and early adolescence groups but decreased during the late adolescence group.
Electrical/Electronic Systems Diagnostic Terms, Definitions, Abbreviations, and Acronyms - Equivalent to ISO 15031-2
Authors:   Vehicle E E System Diagnostic Standards Committee
Published: August 2024

This SAE Recommended Practice supersedes SAE J1930 MAR2017 and is technically equivalent to ISO 15031-2. This document is applicable to all light-duty gasoline and diesel passenger vehicles and trucks, and to heavy-duty gasoline vehicles. Specific applications of this document include diagnostic, service and repair manuals, bulletins and updates, training manuals, repair databases, underhood emission labels, and emission certification applications.

This document should be used in conjunction with SAE J1930DA Digital Annexes, which contain all of the information previously contained within the SAE J1930 tables.

These documents focus on diagnostic terms applicable to electrical/electronic systems, and therefore also contain related mechanical terms, definitions, abbreviations, and acronyms.

Even though the use and appropriate updating of these documents is strongly encouraged, nothing in these documents should be construed as prohibiting the introduction of a term, abbreviation, or acronym not covered by these documents.

Certain terms have already been in common use and are readily understood by manufacturers and technicians, but do not strictly follow the methodology of this document. The SAE J1930 committee may approve these terms that already may be considered industry standards. These terms fall into three categories:

a

Acronyms that do not logically fit the term.

b

Acronyms existing at the component level, i.e., their terms contain the base word or noun that describes the generic item that is being further defined.

c

Acronyms for terms that appear to contain the base word, but are frequently used as a modifier to another base word. (This use may possibly be thought of as following the methodology since the acronym is normally used as a modifier.)
Predictive Analysts Using Different Algorithm Machine And Deep Learning For Financial Market: Review Paper
Authors: Laftah Samah s , Diwan Sinan A
Published: August 2024

This paper presents the development and effectiveness of deep and machine learning techniques in forecasting stock market trends. This paper review focus on key developments from 2020 to 2024 involves the integration of ensemble learning, sentiment analysis from social media, and various predictive algorithms such as LSTM, CNN, and ANN. These techniques improves predication accuracy by efficient processing large data groups and detect nonlinear patterns in stock price trends. in addition, the paper presented background about various machine learning algorithms such as KNN, naive Bayes, linearregression decision trees, SVM, randomforests and deep learning models suchas neural network,LSTM and CNN .the findings of this study to providing valuable insights to researchers and practitioners who aim to improve investment strategies and improve predictive accuracy By looking at the appropriate algorithm
Satellite Image Classification Using Unsupervised Machine Learning
Authors: Alabidi Shahad A. , Al-Zubaidi Ehsan Ali
Published: August 2024

In recent years, humans rely heavily on spaceSatellites are especially for communications, military defence, intelligence, science and Trade. As a result of the development of artificial intelligence technology, especially machine learning and deep learning, Timecan be saved by using satellite images, which can offer a wealth of large-scale information on the Earth's surfaces quickly. Advanced image processing techniques have been used to improve the resolution of acquired objects with the emergence of sensors that give satellite images.Research on ways to apply it in various fields has been actively conducted. This paper summarizes research activities using machine learning using a search engine to survey the number of research proposals submitted in 2013and 2024 and the number of papers published in the past five years, although the purpose of applying machine learning as there was a relatively large number of studies involving learning Automated. Therehas also been increasing interest in newmethods such as reinforcement learning.
A Web-Based Academic Article Recommendation System: Survey
Authors: Jabardi Mohammed , Fadhil Ayat Abbas
Published: August 2024

The rise of the internet and intelligent gadgets has increased platform traffic, collecting data to detect user preferences. Researchers need help finding relevant material due to the rapid proliferation of academic papers across fields. Academic article recommendation systems (ARSs) help solve this problem by suggesting articles based on research interests and needs. Academic article recommendation algorithms help navigate the vast scholarly literature. Researchers, students, and academics utilize them to find articles that match their interests and study emphasis in enormous databases. This review covers recommendation algorithms, data sources, assessment metrics, and user interfaces in ARS research. This survey also examines new trends and research directions, such as advanced machine learning and semantic analysis
Assessments Image Segmentation Using Genetic Algorithm
Authors: Hassan Raghad Mahdie , Hassan Luma Salal
Published: August 2024

Image segmentation is a crucial technique for processing images. It is a challenging task to process images, and the quality of the segmentation process affects the following assignments, which include classification, object recognition, feature extraction, and object detection.It's a significant phase of a system for computer vision. Image segmentation is the basic problem in many applications for image processing. Over time, image segmentation has gotten more challenging due to its extensive use in numerous applications. It is the procedure of segmenting the image into various areas by using a specific technique. There are many different ways for image segmentation.A new information parameter with a threshold basis for segmenting images using the genetic algorithm. Due to its ability to calculate the ideal number of segmentation regions, we employed the Genetic Algorithm. In this work, a novel approach built upona genetic algorithm is used to solve the image segmentation problem by utilizing the thresholding concept.The suggested method uses a genetic algorithm to identify the evolutionary best segmented image based on a threshold that is based on new information. We presented the results of our experiments using the suggested method on various grayscale images in the last section. By using parameters used to evaluate image segmentation quality (PSNR,MSE,SC), we notice the results are good.
Detecting and Classification of Complex Roads Defects Using a Deep Learning Approach: A survey
Authors: Jaber Amal Mohammed , Sari Farah Abbas Obaid
Published: August 2024

Road safety is one of the most important conditions for public driving safety around the world. This is done by monitoring the roads periodically to detect defects that can appear due to several factors affecting the asphalt, such as weather and accidents. Traditional road inspection methods are often time-consuming, labor-intensive and expensive due to the length of the methods. Deep learning (DL) has emerged as a promising technology for automated detection and classification of road defects, offering the potential for faster, more accurate, and less expensive inspections. This review paper provides a comprehensive overview of the state-of-the-art methods working on the principle of artificial intelligence for detecting defects on road surfaces. We will also discuss the different types of defect monitoring methods that differ from one method to another and furthermore, we will show the different datasets from oldest to newest with all their details that can be useful in DL. A review is then performed of various blind learning architectures and algorithms that have been used for defect detection and classification, incorporating generative adversarial networks (GANs), recurrent neural networks (RNNs), and convolutional neural networks (CNNs). Finally, we will provide a comparative analysis of the reviewed algorithms and methods by presenting the metrics used to choose the best technique, which is what these paper aimsto do.
Discovering Millimeter Wave Technology forNext-Generation (5g) Communication: A Review
Authors: Mahdi Asraa Kadhim
Published: August 2024

Millimeter Wave (mmWave) frequencies, a factor of the electromagnetic spectrum, provide a varied array of frequency bands that can be connected for the development of 5G mobile communication technologies. These frequency bands proposal a substantial view for advancing data transfer rates and network capacity inside the area of wireless communication. However, the employment of mmWave technology faces numerous challenges and obstacles that must be fixed. One of the key challenges relates to propagation losses, which have the possible to disturb the effectiveness of signal propagation over unlimited distances. Furthermore, accomplishing accurate beam alignment represents a vital obstacle in guaranteeing precise signal transmission between transmitters and receivers, thus optimizing the total efficiency of 5G infrastructures. An additional difficulty to be overcame is the existence of signal reflection paths, which may result in interference and signal decline if not effectively managed. In conflict, technique similar to beamforming policies is vital progression revealing the potential of mmWave which is utilize many antennas operating together and automatically instruction and intensive the signal to the selected recipient with notable precision. In addition,participating phased antenna arrays as improvements in antenna technology and reduced antennas and integrated circuits is extra advancement in 5G technology. Furthermore, scattering applications challenging high precision as a result of the high-frequency nature of mmWave and realizing multi-gigabit-per-second has the beneficial comprise the possible for maximum-capacity wireless broadcast at high data rates. The determination of these challenges is authoritative for revealing the comprehensive potential of mmWave technology and exploiting on the advantages it can offer to the realmfield of mobile communications.
Majority Voting Technique for Fake News Detection
Authors: Al ibraheemi Howaida Abdul Hadi , Jabardi Mohammed
Published: August 2024

A considerable number of people get their news from electronic sources. As there was a great increase in the usage of these platforms, more and more people are consuming the news from social media sources along with other websites. Thus, a variety of sites and sources has grown exponentially, allowing for easy and fast distribution of false information. Such deliberately generated lies fixing to deceive both the person and society are referred to asfake news Since the media plays an essential role in presenting fake information that alters public opinion and makes members of society take responsibility for unsupported facts. Currently the widespread of social media has worsened the level of fake news dissemination. To assess our methodology, we used popular machine learning classifiers such as Support Vector Machine (SVM), Random forest (RF), Logistic Regression(LR), Naive Bayes(NB), Gradient Boosting, AdaBoost, K-nearest neighbor (KNN), Decision tree (DT), and Extreme Gradient Boosting (XGBoost). We constructed a multi-model false news detection system using the Majority Voting approach, using the previously discussed classifiers to provide more accurate findings.Our strategy achieved an accuracy, of 0.9977%, recall of 0.998%, precision of 0.997%, and 0.997% ofF1-measure, with a loss of 0.0022 according to the trial data. The assessment reveals that, in comparison to individual learning strategies, the Majority Voting approach produced more outcomes that were deemed acceptable.
Deployment Approach in WSNS Using Metaheuristic Algorithm: A Survey
Authors: Abbas Noor Ali , Salman Mahdi Abed , Mahdi Muhammed Abaid
Published: August 2024

Deploying wireless sensor networks (WSN) is one of the areas with the most significant research since the methods employed can have a big impact on the system's overall performance and the amount of energy the sensors in it consume.Thus, an effective deployment problem solution should not only "enhance its performance" but also save the energy needed to extend the lifetime of WSN. Finding an optimal solution for most deployment problems with limited computational resources is challenging, particularly for NP-hard optimization problems. By searching for a nearly optimal solution with constrained computational resources in a reasonable amount of time, metaheuristics present an alternative to exhaustive search and deterministic algorithms in solving these optimization problems. This paper classifies the deployment techniques of sensor networks and the metaheuristic algorithms.
Question Answering System Based on Bideirectional Long-Short-Term Memory (Bilstm)
Authors: Katib Sahar Sami Raheem , Abdulameer Mohammed Hasan
Published: August 2024

In the modern world, Q&A systems are essential for promoting better communication between people and technology. These systems play an important role in collecting information quickly and efficiently, and this leads to great progress in learning, teaching and development in many areas of life. Using deep learning techniques, this research addresses the problem of excellent prediction of the questions that need to be answered. We created a question-and-answer system using "Bidirectional Long Short-Term Memory (BiLSTM)", a modern neural network known for its accuracy and results in text analysis and natural language understanding. This technique is more effective in understanding questions and producing very accurate answers because of its special ability to pay attention to preceding and following information in a sentence. Preprocessing was used to remove unnecessary, unimportant and time-consuming data. The "Stanford Question Answering Dataset version 2 (SQuAD 2.0)"was used, which is considered one of the important datasets used in the field of machine learning and natural language processing. The following evaluation metrics were used to evaluate the model’s performance: “Mean Average Precision(MAP), Mean Reciprocal Rank(MRR), Recall, Precision, Loss, F1 Score, and Exact Match (EM). The results, based on 150 epochs (EPOGs) and 128 batch sizes with a cleaned dataset split into 70% training and 30% test/validation (15% each), are as follows:"Precision (0.966), Loss (0.591), F1-score (0.966), Recall (0.967), EM (0.967), MRR(0.918), MAP (0.776), and accuracy(0.966)". Interestingly, the highest performance was observed when using the accuracy measure.
Sosialisasi Literasi Media Digital bagi Kaum Muda Desa Oringbele Kecamatan Witihama Kabupaten Flores Timur
Authors: Thaa Benedicto Aprian , Ethelbert Yohanes Kornelius , Lawalu Stephanie Perdana Ayu , Nyong Frans , Peten Yasinta Palan
Published: August 2024

The digital era has revolutionized the way people live, including in Oringbele Village, Witihama District, East Flores Regency. Ease of access to information through the internet opens up new opportunities, but also presents challenges. Digital media literacy is the key for young people to use technology wisely and responsibly. This journal examines the socialization of digital media literacy for the youth of Oringbele Village. This activity aims to improve their knowledge and skills in using digital media safely, critically, and creatively. Socialization was carried out by the method of material presentation, and discussion. The material presented included the definition of digital media literacy, the benefits and risks of digital media, digital media ethics, how to identify and avoid negative content, and tips for safe and responsible social media. The results of the socialization show that the level of digital media literacy of young people in Oringbele Village is still low. However, they are enthusiastic about learning and improving their ability to use digital media wisely. The socialization of digital media literacy provides significant benefits for the youth of Oringbele Village. This activity helps improve their knowledge and skills in using digital media wisely and responsibly. Further socialization and continuous assistance are needed to ensure that digital media literacy continues to develop in Oringbele Village.
IMPLEMENTASI ALGORITMA RABIN KARP DAN OPTIMASI DENGAN ALGORITMA STEMMER SASTRAWI DALAM DETEKSI PLAGIAT PADA JURNAL SKRIPSI MAHASISWA
Authors:   STMIK TIME, Herman Herman
Published: August 2024

The problem of plagiarism is a serious problem in tertiary institutions, given the high number of plagiarism acts that do not uphold the principle of honesty. Problems related to plagiarism in the academic field have been widely discussed in previous studies. However, previous studies that were conducted only focused on checking thesis similarities, but had not implemented the stemming algorithm in processing the data used in the research. Therefore, in this study a plagiarism detection system will be developed in thesis journals by implementing the Rabin Karp algorithm and optimization with the Literary Stemmer algorithm so that it is expected to increase the accuracy of the results of plagiarism detection. Based on the results of tests carried out through a combination of the Rabin Karp algorithm and optimization with Stemmer Literature in detecting plagiarism of student thesis journals, an accuracy rate of 80% was obtained in detecting similarities in student thesis journals in this study and the average speed of execution time was 25.6934 seconds.
PERANCANGAN MEDIA PEMBELAJARAN PERHITUNGAN DASAR PADA SISWA KELAS 2 SDN 101822 PANCUR BATU BERBASIS ANDROID
Authors:   Universitas Methodist Indonesia, Sianturi Angel Maisya , Jamaluddin Jamaluddin , Harianja Eva Julia G.
Published: August 2024

This study aims to design an Android-based basic calculation learning media application for SDN 101822 Pancur Batu. The application was created with the purpose of helping students learn basic calculations independently and increasing the effectiveness of learning with interactive features. To produce optimal interactive media, various methods are used, such as collecting data from literature sources, observations, and interviews with experts. In addition, the interactive media design is also carried out using Adobe Animate. After being designed, the interactive media is tested to ensure that it functions well and can improve learning effectiveness. The result of this study is a basic calculation learning media application integrated with the government curriculum and accessible by students anytime and anywhere. This application is expected to help students understand basic calculations better and more interestingly, as well as improve their learning achievement in mathematics.
Pengaruh Perilaku Impulsif Terhadap Kecenderungan Nomophobia Mahasiswa
Authors:   Institut Agama Kristen Negeri Kupang, Nata Yuliana , Amseke Fredericksen Victoranto
Published: August 2024

Nomophobia or no mobile phone phobia is a person's excessive fear of being away from gadgets. One of the influencing factors is nomophobia, which is impulsive behavior. This study aims to examine the influence of impulsive behavior on nomophobic tendencies of students in the pastoral counseling study program at the Kupang State Christian Institute. This research uses quantitative methods. Data collection tools used an impulsive behavior scale using the Impulsiveness Scale Version 11 (BIS-11) and a nomophobia scale using the Nomophobia Questionnaire (NMP-Q). The respondents in this study were 89 students in the pastoral counseling study program aged 19 -21 years at the Kupang State Christian Institute. The data analysis technique uses simple linear regression analysis. The results of this study prove that there is a positive and significant influence of impulsive behavior on nomophobic tendencies with an F value = 18.782 and a p value = 0.000 at R Square = 0.401. This means that the effective contribution of the impulsive behavior variable to the tendency to nomophobia is 40.1%, meaning that the higher the impulsive behavior, the greater the tendency to nomophobia.
Using Media to Stimulate Babies’ Language Activities Development
Authors:   Universitas Budi Darma, Ulfa Kurnia
Published: August 2024

As the digital age continues to reshape educational paradigms, it is essential to investigate the purposeful integration of media into infants’ lives to enhance language acquisition “Harmonizing Voices” explores how age-appropriate media, such as videos, apps, and interactive content, can complement traditional methods, providing infants with a multi-sensory and engaging platform for language exploration. Today, various strategies are employed to stimulate babies from pregnancy through infancy, with mothers increasingly using media as a tool. This includes playing music during pregnancy and introducing nursery rhymes through media post-birth to create a sensory -rich environment. This study investigates the synergy between the melodic allure of English nursery rhymes and intricate process of a baby’s linguistic development. Digital platforms like YouTube and Netflix offer numerous nursery rhymes, such as Cocomelon and Bebefinn, which are popular among infants. This research aims to evaluate which of these nursery rhymes programs is more effective in stimulating infants and which elicits more positive reactions. Caregivers, educators, and researchers will gain insights into the connections between musicality, language and early cognitive development through this exploration. The study addresses the identification of high quality media content, strategies for joint engagement between caregivers and infants, and the potential impact of media on various facets of language development. By fostering an environment where technology harmonizes with natural language acquisition processes, this research aspires to contribute valuable insights for educators, caregivers, and researchers. The objective of this study is to observe and compare infants’ reactions to two popular nursery rhyme programs, Cocomelon and Bebefinn. The research aims to identify which program stimulates more positive engagement, thereby providing a deeper understanding of infants’ preferences and the effectiveness of media content in early language development.
Peran Media Sosial Sebagai Media dalam Menyebarkan Bullying dan Diskriminasi Studi Kasus Menfess UB
Authors:   Universitas Brawijaya, Juang Amos , Pambudi Brahmantio Jati , Tanugroho Christopher Robin , Suryanto Frederick Rainer
Published: August 2024

The purpose of this research is to investigate the role of social media in spreading bullying and discrimination, particularly through the Menfess UB Twitter account at Brawijaya University, Malang. This research aims to understand the extent to which social media influences students towards bullying and awareness of respecting diversity to prevent such behavior. This study uses a quantitative method, including using an online survey to answer the questions. The results indicate that while social media can be a tool for negative behavior, many students are aware of its impacts and understand the importance of diversity and respect. However, instances of bullying and discrimination still occur, highlighting the need for more effective preventive measures.
Pengaruh Kepemimpinan serta Kompensasi terhadap Motivasi Atlet Esports Pelatda Provinsi Sumatera Utara
Authors:   Universitas Methodist Indonesia, Sagala Tamado Simon
Published: August 2024

Esports is an official sports branch in Indonesia, as stated in the results of the KONI National Working Meeting (RAKERNA) in 2020, which declared esports to be part of the prestigious sports branch. This is also in line with the establishment of the Indonesian Esports Association (PBESI) as the governing body of electronic sports under the National Sports Committee of Indonesia (KONI). Research results show that the t-value of both variables is below 0.005, and F calculated is greater than F table (570.063 > 2.91). It can be explained that leadership has a significant positive influence on the achievement motivation of esports athletes in the provincial training center (Pelatda) of North Sumatra. Compensation also has a significant positive influence on the achievement motivation of esports athletes in the provincial training center (Pelatda) of North Sumatra partially. Furthermore, it is found that both leadership and compensation have a significant positive influence on the achievement motivation of esports athletes in the provincial training center (Pelatda) of North Sumatra simultaneously.
Analisis Efektivitas Bansos dalam Menunjang Kebutuhan Hidup Warga Desa Marindal 1
Authors:   Universitas Negeri Medan, Sinaga Eko Pranata , Br. Marbun Tasya , Purba Widya Helen Anjalina , Harahap Putra Pratama , Ivanna Julia
Published: August 2024

This article was created to determine the effectiveness of providing social assistance on the living needs of the people in Marindal I. This research uses a qualitative descriptive method, which means data collection techniques in the form of interviews and literature studies as support for writing this article at the research site in Marindal 1 village. Findings What can be found in the field is that the social assistance distributed has a very effective role in supporting people's living needs, especially in the sector of children's education costs which are greatly helped through social assistance in the form of cash.
Integrasi Aspek Hukum, Administrasi Negara, Ekonomi, dan Akuntansi dalam Pengelolaan Hutan Mangrove Berbasis Masyarakat
Authors:   Universitas Pembinaan Masyarakat Indonesia, Tampubolon Khairuddin , Elazhari Elazhari , Mahuli Jenda Ingan , Situmeang Mahyudin , Hiya Nirmadarningsih , Lubis Reza Hanafi ,   Universitas Muslim Nusantara Alwashliyah Medan
Published: August 2024

The purpose of writing this scientific paper is to determine the integration of multidisciplinary science in community-based mangrove forest management. The object of writing is the mangrove forest in Bagan Serdang, Pantai Labu District, Serdang Bedagai Regency. Community-based mangrove forest management is an important approach to ensure the sustainability of the ecosystem and the welfare of local communities. This scientific paper explores the integration of legal, state administration, economic, and accounting aspects in community-based mangrove forest management. By highlighting the importance of cooperation between various disciplines and compliance with regulations, this scientific paper seeks to provide a comprehensive framework for managing mangrove forests effectively and sustainably. The results of the discussion of this scientific paper are 1. The importance of the legal aspect to educate the public about the potential for conflict and customary law that applies among the community in the management of mangrove forests, 2) in the aspect of administrative science, it is necessary to accommodate the social response of the community to the regional regulations that are made, 3) The economic aspect is the need to educate the community in empowering mangrove forests in producing economic value such as ecotourism and processing of mangrove forest resources that can have economic value, 4) The accounting aspect is by suggesting the application of the mangrove kite concept, namely by involving 4 elements in the management of mangrove forests, namely: Government, Academics, Community and Private. From the results of this scientific paper, it is hoped that it can provide education to the community in optimizing the use of mangrove forests from the integration of various fields of science and will be able to provide solutions to obstacles that will occur.