bluuebunny/crossref_metadata_2025 huggingface dataset:
PENINGKATAN KINERJA GURU DALAM PEMBELAJARAN DI KELAS MELALUI SUPERVISI EDUKATIF KOLABORATIF SECARA PERIODIK DI SMPN 2 POTO TANO
Authors: Abdullah Abdullah
Published: April 2024

Penelitian ini bertujuan untuk  mendeskripsikan langkah-langkah supervisi edukatif kolaboratif secara periodik dalam mpeneingktan pelaksanaan  penyusunan RPP, pelaksanakan pembelajaran di kelas , penilaian hasil belajar  dan tindak lanjut terhadap hasil belajar. Penelitian ini dirancang dengan menggunakan Penelitian Tindakan Sekolah. Subjek dalam penelitian ini yaitu Guru SMPN 2 Poto Tano,  Sedangkan prosedur penelitian melalui tahapan yaitu Perencanaan, Pelaksanaan Tindakan, Pengamatan, dan refleksi. Hasil penelitian  menunjukkan bahwa supervisi edukatif kolaboratif secara periodik di SMPN 2 Poto Tano pada siklus I masing-masing kinerja guru dalam penyusunan RPP baru 7 orang atau 41,18 % , pelaksanaan pembelajaran sesuai dengan prosesdur  7 orang atau 41,18 %, pelaksanaan penilaian hasil belajar 9 orang atau 74,35 %, serta tindak lanjut dari penilaian hasil belajar 9 orang atau 74,35 %, dengan kegiatan supervisi secara periodik maka pada siklus II terjadi peningkatan masing-masing  kinerja guru dalam penyusunan RPP telah meningkat menjadi  14 orang atau 87,5 % , pelaksanaan pembelajaran sesuai dengan prosesdur 15 orang atau 88,24 %, pelaksanaan penilaian hasil belajar 16 orang atau  94,12 %, serta tindak lanjut dari penilaian hasil belajar 15 orang atau 88,24%.
Biomechanical Comparison of Pediatric Female Ballet Dancers With and Without Pain
Authors: Erdman Ashley , Ulman Sophia , Dabis Jessica , Miller Shane , Jones Jacob , Ellis Henry , Chung Jane
Published: April 2024

BACKGROUND: Across all genres of dance, studies have reported musculoskeletal injury in 20-84% of dancers with 95% reporting a history of musculoskeletal pain. Compared to other dance styles, ballet dancers specifically are most affected by musculoskeletal injuries. The purpose of this study is to compare movement patterns and muscle activity in pediatric female pre-professional dancers with and without self- reported pain, using the Patient-Reported Outcomes Measurement Information System pediatric numeric rating scale.   We hypothesize dancers reporting pain will exhibit compensatory strategies, such as asymmetrical movement patterns and muscle activity, across a series of ballet movements.
METHODS: A total of 55 female ballet dancers who train en pointe were seen for testing (age 14.4±1.9 years), with 34 dancers (62%) self-reported pain in the 7 days preceding testing. Biomechanical testing, performed in pointe shoes, included performance of static (5 classical ballet positions) and dynamic ballet movements (développé, arabesqué and grand jeté) while instrumented with surface electromyography (EMG) to capture muscle activity and inertial measurement (IMU) dual sensors on the trunk and lower extremities to capture movement patterns. The experimental setup allowed for measurement of trunk and lower extremity muscle activity, as well as trunk, hip, knee, and ankle joint angles in the sagittal, coronal, and transverse planes. Student’s t-test was used to compare the pain and no pain groups across all variables with statistical significance set to α=0.05.
RESULTS: Movement patterns and EMG differences were seen between groups.  During first and third positions, the right (non-barre sided) leg demonstrated less external knee rotation in the pain group (p≤0.05). In fifth position, the left (barre-sided) leg exhibited increased ankle flexion (p=0.048), reduced hip abduction (p=0.027), and reduced knee adduction (p=0.026) in the pain group. The pain group exhibited decreased trunk flexion/extension range-of-motion during the grand jeté (p=0.004), and increased trunk rotation range-of-motion when performing the arabesqué en pointe (p=0.034). Rectus femoris activation was reduced for the pain group on the left leg in fifth position (p<0.03). The up leg in the pain group during the développé (flat) showed increased hamstring activation (p=0.04).
CONCLUSION: Ballet dancers with pain exhibited differences in movement patterns while performing certain ballet movements, notably during fifth position, grand jeté, and arabesqué (en pointe). Additionally, dancers with pain exhibited reduced rectus femoris activation in fifth position and increased hamstring activation on the working leg during the développé (flat). Future work should investigate how movement patterns and muscle activation in ballet dancers vary by location and severity of reported pain.
Comparative effectiveness of intraarticular administration of different preparations of hyaluronic acid after knee arthroscopy
Authors:   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Yumashev Nikita V. , Naida Daria A. ,   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Brizan Leonid K. ,   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Kerimov Artur A. ,   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Tyulkevich Boris V. ,   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Rybnikov Alexei V. ,   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia
Published: April 2024

This study was conducted to evaluate the efficacy of various hyaluronic acid (HA) preparations in patients with knee joint injuries in the postoperative period after knee arthroscopy. Ninety patients with grade I–II gonarthrosis and concomitant meniscus damage who underwent knee arthroscopy were included in the study. Patients were divided into three groups of 30 patients: in the 1st group no HA preparations were administered, in the 2nd group threefold administration of HA with the concentration of 1.6% was performed with the volume of 2 ml, in the 3rd group a single injection of HA with the concentration of 2.2% mixed with mannitol was performed with the total volume of 5 ml. After 1, 6 and 12 months, the dynamics of the mean score on the visual analog scale (VAS) of pain, WOMAC index and Leken's algo-functional index were evaluated. According to the results of observation after 6 and 12 months, the most pronounced dynamics of pain syndrome intensity reduction was observed in groups 2 and 3, where HA preparations were administered after knee arthroscopy. No statistically significant differences in the efficacy of the compared HA preparations were found. According to the results of observation after 6 and 12 months, the most pronounced dynamics of pain syndrome intensity reduction was observed in groups 2 and 3, where HA preparations were used after knee arthroscopy. No statistically significant differences in the efficacy of the compared HA preparations were revealed. HA administration after arthroscopic lavage causes persistent regression of pain syndrome and improvement of functional status of the knee joint.
Comparative evaluation of the effectiveness of embolization of branches of the popliteal artery and complex conservative treatment in knee osteoarthritis
Authors:   Russian University of Medicine (ROSUNIMED), Moscow, Russia, Parshikov Mikhail V. , Medjidov Kamal M. ,   State Budgetary Healthcare Institution of the Moscow region «Domodedovo Hospital», Moscow region, Domodedovo city, Russia, Govorov Mikhail V. ,   Russian University of Medicine (ROSUNIMED), Moscow, Russia, Kuzbasheva Tatyana G. , Shermatov Kymbatbek R. ,   State Budgetary Healthcare Institution of the Moscow region «Domodedovo Hospital», Moscow region, Domodedovo city, Russia
Published: April 2024

Osteoarthritis of the knee joint is a common condition that often leads to pain and impaired joint function. Embolization of branches of the popliteal artery is an innovative treatment method for osteoarthritis, however, its effectiveness and comparison with complex conservative treatment in cases where surgical intervention is not possible require further investigation. Objective is to evaluate and compare the short-term, medium-term, and long-term outcomes of embolization of branches of the popliteal artery and complex conservative treatment in patients with stage III knee osteoarthritis. The study included patients with stage III knee osteoarthritis according to the Kellgren–Lawrence scale who were unable to undergo surgical intervention for various reasons. Two treatment methods were offered to them: embolization of branches of the popliteal artery and complex conservative treatment. Patients were divided into two groups. The results were assessed using the visual analog scale (VAS) and the WOMAC questionnaire, which considers the joint's functional status and the patient's quality of life. The study significantly reduced VAS scores and WOMAC questionnaire scores in both groups. In the group treated with embolization of branches of the popliteal artery compared to complex conservative treatment, pain relief occurred in a shorter period, and the pain remission period was longer. The results suggest the potential effectiveness of embolization of branches of the popliteal artery in treating knee osteoarthritis. For patients with severe osteoarthritis where surgical treatment is not possible, both treatment methods demonstrated good results when applied meticulously and monitored, with embolization of branches of the popliteal artery being more effective in relieving pain. Further research is needed to confirm these findings and determine optimal treatment strategies. Based on a 2-year observation period, for patients with severe intractable pain caused by stage III knee osteoarthritis according to K–L, embolization of branches of the popliteal artery is a more effective treatment method in pain relief, improving quality of life and social activity compared to conservative complex.
Urgent care for an emergency patient in diabetology
Authors:   Stavropol State Medical University, Stavropol, Russia, Bykov Yuriy V. , Obedin Alexander N. ,   Stavropol State Medical University, Stavropol, Russia, Fisher Vasiliy V. ,   Stavropol State Medical University, Stavropol, Russia, Volkov Evgeniy V. ,   Stavropol State Medical University, Stavropol, Russia
Published: April 2024

Management of medical emergencies in diabetology is an essential area of interest for anesthesiology and intensive care medicine. The main complications of diabetes mellitus (DM) that require intensive treatment and pose a risk of death are hypoglycemia, diabetic ketoacidosis (DKA), and hyperosmolar hyperglycemic state (HHS). This paper provides an analysis of modern scientific publications devoted to clinical manifestations of hypoglycemia, DKA and HHS, and specific aspects of urgent care in these conditions. As demonstrated by data provided here, intensive therapy of these complications of DM is based on stabilization of blood glucose levels, administration of intravenous insulin in DKA and HHS, as well as infusion therapy and correction of electrolyte disturbances. This work discusses the main medications used for treatment of hypoglycemia, DKA and HHS, along with their dosing regimens and routes of administration. Emphasis is made on measures for prevention of cerebral edema, which the main complication associated with these conditions. Knowledge and strict adherence to therapeutic algorithms in medical emergencies in diabetology will help improve clinical outcomes, reduce the risk of complications and bring down death rates.
Experience in the use of highly permeable dialyzer membranes in the treatment of polytrauma
Authors:   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Besedin Stanislav V. , Putkov Stanislav B. ,   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Khoroshilov Sergey E. ,   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Davydov Denis V. ,   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia
Published: April 2024

Acute kidney injury in polytrauma is a common and serious complication that significantly worsens the prognosis. Objective: to evaluate the effect of hemodialysis (HD) with high-permeability membranes on the reduction of myoglobin in polytrauma and rhabdomyolysis complicated by acute kidney injury in comparison with plasmapheresis and high-volume hemodiafiltration. Methods: 18 patients with increased creatine phosphokinase (CPK) above 5000 U/E and myoglobin above 1000 ng/ml, stage 3 AKI. The severity of polytrauma was assessed according to the AIS–ISS criteria. The patients were male, from 27 to 47 years old. Results: The average decrease in myoglobin during highflow extended hemodialysis for 2 hours was 31.25% Conclusion: High-flow extended hemodialysis is an alternative method that removes myoglobin and is superior to hemodiafiltration and plasmapheresis in its removal.
Changes in plasma concentration of von Willebrand factor and factor VIII activity in hemoblastosis patients with infectious complications
Authors:   Federal State-Financed Scientific Institution Kirov Research Institute of Hematology and Blood Transfusion under the Federal Medical Biological Agency, Kirov, Russia, Lyanguzov Alexey V. , Luchinin Alexander S. ,   Federal State-Financed Scientific Institution Kirov Research Institute of Hematology and Blood Transfusion under the Federal Medical Biological Agency, Kirov, Russia, Ignatyev Sergey V. ,   Federal State-Financed Scientific Institution Kirov Research Institute of Hematology and Blood Transfusion under the Federal Medical Biological Agency, Kirov, Russia, Sergunina Olga Yu. ,   Federal State-Financed Scientific Institution Kirov Research Institute of Hematology and Blood Transfusion under the Federal Medical Biological Agency, Kirov, Russia, Kalinina Svetlana L. ,   Federal State-Financed Scientific Institution Kirov Research Institute of Hematology and Blood Transfusion under the Federal Medical Biological Agency, Kirov, Russia, Kolotilov Leonid V. ,   Federal State Budgetary Educational Institution of Higher Education St. Petersburg State Pediatric Medical University of the Ministry of Health of the Russian Federation, St. Petersburg, Russia
Published: April 2024

Infectious complications (IC) and sepsis are among the main causes of mortality in patients with haemoblastosis. The mechanisms of von Willebrand factor (vWF) involvement in inflammatory processes revealed in recent decades determine the possibility of its use as a marker of poor prognosis, along with factor VIII (FVIII), which closely interacts with vWF in the implementation of hemostasis and refers to the acute phase proteins. Objective. To determine the relationship of changes in vWF concentration and FVIII activity with mortality in IC of hemoblastoses. Material and methods. The study included 90 patients with haemoblastosis and IC in the intensive care unit. We assessed parameters necessary to calculate the SOFA score, C-reactive protein and procalcitonin content, coagulogram parameters, as well as vWF antigen concentration (vWF:Ag) and FVIII activity (FVIII:C). Results. Mortality in the study group was 35.5%, sepsis was diagnosed in 77 patients out of 90 (85.5%) included in the study. There was an increase in vWF:Ag to 361% (262–439) and FVIII:C to 373% (240–600). vWF:Ag was found to be significantly higher in the cohort of deceased patients than in survivors. vWF:Ag was found to correlate with C-reactive protein concentration, procalcitonin and the severity of organ disorders on the SOFA scale. Univariate and multivariate analysis revealed a predictive role of elevated vWF:Ag in the mortality prognosis in patients with IC along with D-dimer and antithrombin III concentrations. Conclusion. Increased vWF:Ag and FVIII:C are noted in patients with haemoblastosis and IC. Increased vWF:Ag, as well as increased D-dimer and decreased antithrombin III concentrations are independent mortality predictors in oncohematological patients with IC
Implementation of telemedicine as a medical practice in the undergraduate curriculum
Authors: Sousa Camila Vieira , Souza Nathan Mendes , Chaves Elba Cristina , Pereira Vitor Hugo Eira
Published: April 2024

Our study aimed to develop a project to implement telemedicine, using the ProntLife platform, in the clinical and internship cycles of the undergraduate Medicine course at two institutions in the Inspirali group, UNIBH and FASEH, with UNIBH located in Belo Horizonte ( BH), and FASEH in Vespasiano, metropolitan region of BH, Minas Gerais, Brazil. Methodologically, the study is descriptive, qualitative and quantitative. The data taken from ProntLife were treated through content analysis, thematic modality. Furthermore, a literature review was carried out using the PUBMED, LILACS and SCIELO databases. We demonstrate the importance of using telemedicine in simulated practical activities and in the outpatient clinics of Medicine courses, where the positive effects on the training of undergraduates can be assessed, both in skills and competencies, as well as providing vulnerable groups with greater access to health care. It is worth noting that all the positive points reported impact the health services that partner with medical teaching institutions.
Prevalence of pneumatized articular eminence of the temporal bone on panoramic and tomographic images: scoping review
Authors: Silva Lucas Antônio de Carvalho e , Marques Sáthyla Lander Cândida , Borba Alexandre Meireles , Gialain Ivan Onone
Published: April 2024

Pneumatization of structures can be a significant risk factor during surgical precudures. The aim of the present scoping review was to evaluate the prevalence of pneumatized articular eminence of the temporal bone on panoramic radiograph and computed tomography images. A search was performed of the following databases: Medline/Pubmed, SciELO, LILACS and Scopus. Prevalence papers with use of radiographic or tomographic images. Papers from any language were included, published up to February 2024. Among the 54 selected papers, a total sample of 75015 patients was considered. The pooled prevalation of pneumatized articular eminence was 3865 (5,85) cases. Upon further comparison, computerized tomography images presented higher prevalence than panoramic radiograph. Specific prevalence analysis showed that the prevalence is higher in females (1.11:1 ratio), unilateral (1,55:1) and multilocular (2,19:1). When computed tomography was employed, the biletaral and multilocular prevalence was higher, in comparison to studies using panoramic radiography. Computed tomography should be considered the stardard imaging exam for assessing pneumatization.
Analysis of distance higher education: perception of teachers in the city of Maricá/RJ with training in distance learning
Authors: D´´  ´Oliveira Karen Santos , Carvalho Ronaldo do Nascimento , Marques Valeska Regina Soares
Published: April 2024

This work investigated the quality of distance higher education through a questionnaire applied to basic education professionals in the city of Maricá/RJ. The research involved the participation of 30 volunteers and aimed to evaluate various aspects related to the teaching and learning process, infrastructure, methodologies and interaction between teachers and students. The methodology adopted consisted of applying a questionnaire containing open and closed questions addressing the aspects. The questionnaire was administered online using the Google Forms platform. The results obtained revealed the professionals' perception of the quality of the distance learning in which they were students. The research concludes that the use of technological tools can significantly contribute to improving distance learning if interactive approaches and quality resources are adopted. Based on the results, it is suggested that institutions focus on personalizing teaching, online interaction, and training teachers to ensure high-quality distance education.
Neuroergonomics applied in production Engineering to improve workers' performance and sense of well-being
Authors: Moura Roque Antonio , Oliveira Márcia Regina , Goussain Blaha Gregory Correia Santos , Silva Messias Borges
Published: April 2024

Neuroergonomy, a combination of neuroscience and work ergonomics, is focused on identifying the importance of neurophysiological and behavioral responses to mental states connected to workers' performance. This exploratory research aims to disseminate the advantages of neuroergonomic principles in daily human professional life and apply it in two experiments in Production Engineering to improve the performance and sense of well-being of workers in an assembly line replicated in the laboratory. The methodology involved measuring time during the assembly of a 1:18 scale vehicle in two experiments, one with and the other without neuroergonomic rules. The result showed that for assembly under neuroergonomic concepts of five units of each experiment, there was a reduction of up to six minutes for Experiment #2. It is concluded that the application of neuroergonomic principles can reduce the time of operational activities through the reorganization of elements and rearrangement of the layout, contributing to advances in the application of neuroergonomics in production engineering and for well-beig perception of employees.
Assessment of the degree of reliability in the declarations of the rural environmental register relation to the SIGEF area certifications
Authors: Fonseca Junior Edson José , Siqueira Dias Junior Eduardo , Reis Luis Carlos , Esteves da Silveira Reis Teresinha , Kolln Oriel Tiago
Published: April 2024

The Brazilian Forest Code was sanctioned in 2012, bringing forth a tool for analyzing rural properties known as the Rural Environmental Registry (CAR). This is a nationwide electronic public record mandatory for all rural properties. The registration tool has shown some discrepancies, particularly in the georeferencing section aimed at identifying land use, occupation, and perimeter information. This study aims to assess the divergences in information obtained through CAR due to different map insertion methods and to analyze the precision and accuracy of the methods. For each property, a map generated from Google Earth was produced in a KML file format. These maps were obtained through public consultation of the rural environmental registry provided by the Brazilian Institute of the Environment, comparing them against the orbital image contained therein for each method. The comparisons between methods were analyzed using simple correlation, categorized into four groups based on property size. The results obtained indicate that the registration quality is directly related to the quality of the georeferencing section within the CAR application. When combined with certification data, we obtain a more reliable declaration result.
IoT Based ICU Healthcare: Optimizing Patient Monitoring and Treatment with Advanced Algorithms
Authors: T Thiyagu , S Krishnaveni
Published: April 2024

In the realm of IoT-based Intensive Care Unit (ICU) healthcare, the quest for precision and reliability in patient monitoring and treatment optimization is paramount. This study delves into the realm of advanced algorithms, particularly focusing on the Pelican Optimization Algorithm Long Short-Term Memory (POA-LSTM), known for its remarkable accuracy rates exceeding 95%. The POA-LSTM algorithm, fine-tuned through the Pelican Optimization Algorithm, emerges as a beacon of accuracy in ICU healthcare. By optimizing hyperparameters and leveraging the Pelican Optimization Algorithm's optimization prowess, POA-LSTM surpasses industry standards, offering unparalleled precision and recall rates. Its ability to make informed predictions and provide real-time insights significantly enhances the quality of patient care and clinical decision-making in ICU settings. Additionally, the study explores Context-Oriented Attention LSTM (COA-LSTM) and Particle Swarm Optimization Long Short-Term Memory (PSO-LSTM) algorithms, each contributing unique strengths to the landscape of IoT-based ICU healthcare. COA-LSTM's attention mechanism and PSO-LSTM's hyperparameter optimization further enrich the capabilities of predictive modeling and anomaly detection in critical care scenarios. Through the integration of these advanced algorithms, healthcare providers can harness the power of data-driven insights to revolutionize ICU healthcare, ensuring optimal patient outcomes and advancing the frontier of medical care in the digital age.
Video Face Tracking for IoT Big Data using Improved Swin Transformer based CSA Model
Authors: K Anbumani , Anitha Cuddapah , S V Achuta Rao , K Praveen Kumar , Ramasamy Meganathan , R Mahaveerakannan
Published: April 2024

Even though Convolutional Neural Networks (CNNs) have greatly improved face-related algorithms, it is still difficult to keep both accuracy and efficiency in real-world applications. The most cutting-edge approaches use deeper networks to improve performance, but the increased computing complexity and number of parameters make them impractical for usage in mobile applications. To tackle these issues, this article presents a model for object detection that combines Deeplabv3+ with Swin transformer, which incorporates GLTB and Swin-Conv-Dspp (SCD). To start with, in order to lessen the impact of the hole phenomena and the loss of fine-grained data, we employ the SCD component, which is capable of efficiently extracting feature information from objects at various sizes. Secondly, in order to properly address the issue of challenging object recognition due to occlusion, the study builds a GLTB with a spatial pyramid pooling shuffle module. This module allows for the extraction of important detail information from the few noticeable pixels of the blocked objects. Crocodile search algorithm (CSA) enhances classification accuracy by properly selecting the model's fine-tuning. On a benchmark dataset known as WFLW, the study experimentally validates the suggested model. Compared to other light models, the experimental findings show that it delivers higher performance with significantly fewer parameters and reduced computing complexity.
Convolutional Deep Belief Network Based Expert System for Automated Fault Diagnosis in Hydro Electrical Power Systems
Authors: Alowaidi Husam , G C Prashant , T Gopalakrishnan , M Sundar Raja , S M Padmaja , S Anjali Devi
Published: April 2024

The paper developed an approach for fault diagnosis in Hydro-Electrical Power Systems (HEPS). Using a Renewable Energy System (RES), HEPS has performed a significant part in contributing to addressing the evolving energy demands of the present. Several electro-mechanical elements that collectively comprise the Hydro-Electric (HE) system are susceptible to corrosion from routine usage and unplanned occurrences. Administration and servicing systems that are successful in implementing and achieving these goals are those that regularly track and predict failures. Detect models applied in the past included those that were primarily reactive or reliant on human involvement to identify and analyse abnormalities. The significant multiple variables intricacies that impact successful fault detection are disregarded by these frameworks. The research presented here proposes a Convolutional Deep Belief Network (CDBN) driven Deep Learning (DL) model for successful fault and failure detection in such power systems that address these problems. Applying sample data collected from two Chinese power plants, the proposed framework has been assessed compared to other practical DL algorithms. Different metrics have been employed to determine the effectiveness of the simulations, namely Accuracy, Precision, Recall, and F1-score. These outcomes indicated that the CDBN is capable of predicting unexpected failures. Graphic representations demonstrating control used to measure turbine blade load, vibration level, and generator heat for assessing the replicas.
IoT Innovations as a Strategy for Minimizing Construction Expenses
Authors: Patil Deepak Tulsiram , Bhaumik Amiya
Published: April 2024

The revolutionary impact of Internet of Things (IoT) improvements on the construction enterprise is carefully tested on this extensive research, with a focus on cost-cutting strategies. Examining a wide range of IoT programs from the predictive repair of equipment to the actual-time monitoring of building materials the study highlights how those packages can appreciably lessen operating charges. This inquiry identifies key areas wherein IoT technology are expected to sell cost-saving measures by utilizing a thorough evaluation of relevant literature along with a robust method that includes case research and empirical records evaluation. Using 12 records points and a aggregate of documentation evaluation and interviews, this examine assesses the impact of IoT technology on constructing charges. It offers insights into how IoT adoption in creation might be financially viable with the aid of highlighting the way it influences fee dynamics and undertaking control. The observe concludes with the aid of dropping mild at the broader implications of IoT adoption inside the construction enterprise and emphasizing how important it is to promoting a sustainable environment and strengthening the competitive fringe of companies on this zone. The present investigation not only emphasizes the economic blessings of implementing IoT, but additionally indicates its capability to convert conventional building methods by way of facilitating the improvement of greater reasonably priced, efficient, and environmentally friendly venture execution strategies.
Security Intelligence Enhanced by Blockchain Data Transitions and Effective Handover Authentication
Authors: V Vincent Arokiam Arul Raja , C Senthamarai
Published: April 2024

The most significant method is intrusion detection, which improves privacy concerns about client authentication and authorization. No matter what is done to enhance security intelligence, vulnerability has also increased in the modern era. The major role is to predict those vulnerabilities and improve security enhancements by using blockchain methods to enhance privacy concerns. In the corporation, banking, or healthcare system, the major issues are data spoofing, cyber security issues, and viruses affecting confidential data or breaking the shield of data protection. Enhance authorization and authentication by connecting the fog cloud and using the blockchain to protect privacy. In the transition of data, attackers may increase their attacks using various forms. Even if the data is transformed, attackers can easily access it and break the confidentiality of the entire massive database. FCBS (Fog Cloud Blockchain Server) will prevent data vulnerability by using FCS (Fog Cloud Server) modalities for data access. It consists of two segments, AuC (Authentication) and AuT (authorization) during the processing of data. BC (blockchain) addresses the data functionality and enhances the FCS security intelligence in two parts. By preventing the vulnerability earlier, no FC (Fog Cloud) data will be affected. To ensure data protection is reliable and accurate by handing over the AuC and AuT.
Autonomous Garbage Accumulation Robot using Internet of Things
Authors: E Naresh , P Hemavathi , S Padmavathi , N N Srinidhi , B P Pradeep Kumar , V Karthik , Mallik Saurav
Published: April 2024

All around the globe, the waste age rates are rising step by step. Overseeing litters appropriately is fundamental for building maintainable and decent conditions. Be that as it may, it has stayed Trash assortment has gotten hard to keep up or oversee by the individuals in their everyday life. Compelling trash the executives, less on city making plan. Regularly, unwanted things are arranged or are transparently scorched. Such practices have made add to worldwide atmosphere changes, serves a reproducing ground for ailment vectors, and furthermore elevates to urban viciousness. To beat these issues, we are building up an Autonomous Garbage Collecting Robot. This Robot is utilized to gather the trash from the containers. At the point when the containers are filled to a specific level, that receptacle sends a notice to the robot. Presently this robot is utilized to gather the trash from that specific receptacle and dumps the trash.
Weight Optimization for missing data prediction of Landslide Susceptibility Mapping in Remote sensing Analysis
Authors: S Kanchana , R Jayakarthik , V Dineshbabu , M Saranya , Mylapalli Srikanth , T Rajesh Kumar
Published: April 2024

To keep track of changes to the Earth's surface, extensive time series of data from remote sensing using image processing is required. This research is motivated by the effectiveness of computational modelling techniques; however, the problem of missing data is multifaceted. When data at numerous a-periodic timestamps are absent during multi-temporal analysis, the issue becomes increasingly problematic. To make remote sensing time series analysis easier, weight optimised machine learning is used in this study to rebuild lost data. Keeping the causality restriction in mind, this method makes use of data from previous and subsequent timestamps. The architecture is based on an ensemble of numerous forecasting modules, built on the observed data in the time-series order. Dummy data is used to connect the forecasting modules, which were previously linked by the earlier half of the sequence. After that, iterative improvements are made to the dummy data to make it better fit the next segment of the sequence. On the basis of Landsat-7 TM-5 satellite imagery, the work has been proven to be accurate in forecasting missing images in normalised difference vegetation index time series. In a performance evaluation, the proposed forecasting model was shown to be effective.
RESILIENCE AND VULNERABILITY: THE HAOUZ EARTHQUAKE'S EFFECT ON HOUSING IN THE WESTERN HIGH ATLAS OF MOROCCO
Authors: Zamzami Hamza Ait , Elaanzouli Mohammed , Saidi Jamila , Boumeaza Taieb
Published: April 2024

This article delves into the vulnerability of traditional dwellings and cluster housing in the Western High Atlas region of Morocco, highlighting the major challenges they face during earthquakes. These houses, often built with natural materials such as earth, stone and wood, reveal structural limitations in the face of nature's relentless forces. More specifically, the article looks at the devastating Al Haouz earthquake of 2023, which marked the region's history as the most powerful earthquake in over a century. It left behind a tragic legacy of loss of life and considerable material damage. This underlines the imperative of understanding the seismic risks to which these traditional dwellings are exposed, particularly in a culturally and geologically rich and tectonically active region. The article goes beyond simply identifying the problems, highlighting the considerable efforts made by the government and civil society to rebuild and prepare the region for similar disasters in the future. It also highlights the need to strengthen the resilience of these traditional dwellings and to reconsider building standards to better cope with seismic risks.
Understanding quality characteristics of EdTech interventions and implementation for disadvantaged pupils: Protocol for a systematic review with meta-analysis
Authors: Haßler Björn , McBurnie Chris , Walker Hannah , Klune Christopher , Bhutoria Aditi
Published: April 2024

An output of the Open Development & Education, https://opendeved.net/
Understanding quality characteristics of EdTech interventions and implementation for disadvantaged pupils: Data Management Plan
Authors: Haßler Björn , McBurnie Chris , Walker Hannah , Klune Christopher , Chris McBurnie Chris McBurnie
Published: April 2024

An output of the Open Development & Education, https://opendeved.net/
E-satisfaction as a mediator between consumer loyalty and E-CRM: The context of Lebanese e-commerce
Authors: Younis Joumana A , Al-Shammari Hameed , Hejase Hussin Jose , Massoud Mazen , Hejase Ale Jose
Published: April 2024

This article’s purpose is to assess the influence of E-CRM on consumer loyalty through satisfaction. Electronic customer relationship management E-CRM is a marketing tool used to manage consumer loyalty. However, the adoption of outdated E-CRM strategies increases dissatisfaction and attrition rates. That is, to assess the effect of perceived quality online, online customization, and customer trust on loyalty from online shoppers’ perspectives. This quantitative explanatory study begins with an exploratory factor analysis to simplify the concept’s dimensions. A questionnaire was distributed to a sample of Lebanese customers as a measurement instrument. Data analysis used factor analysis, followed by confirmatory factor analysis (CFA) using a structural model,and later regression. EFA is a fundamental prerequisite to CFA. Then, principal factor analysis (PCA) verified items for each construct dimension. The removal of items with low contributions improved the value of the KMO test, variance explained, and internal reliability measured with Cronbach’s alpha, which  increased to 0.865. PCA extracted factors by restoring a minimum of 50% of the variance. The CFA relies on normed indices, sustaining the adjustment of the theoretical structure. Absolute fit criteria are highlighted: the RMSEA, GFI, and AGFI. Findings supported the idea that E-CRM strategies concentrating on online service quality, online presence, customization, and customer trust develop e-satisfaction and loyalty. Effective E-CRM satisfies customers and increases their e-satisfaction, leading to higher levels of loyalty. These outcomes increase awareness about the strategic value of E-CRM to businesses, and the paper serves as an eye-opener for future researchers and marketing experts.
Real-time of a two-level three-phase inverter controlled by PWM and full wave techniques
Authors: Nekbil Noureddine , Guettaf Yacine , Boudiaf Mohamed , Nour Mohamed
Published: April 2024

Sustainability in power generation is readily available and must be able to adapt to a variety of energy needs or integrate seamlessly into alternative distribution networks. This research aims to bridge the gap between continuous energy production and efficient energy utilization by advancing the understanding and application of three-phase dual-level voltage inverters. This study focuses on two main objectives: firstly, to develop a comprehensive model and secondly, to validate the functionality of a three-phase two-level voltage inverter. The control strategy employed for this inverter involves the full-wave method and pulse-width modulation (PWM). The results obtained from the hardware implementation of these control methods show impressive levels of success, closely matching the expected performance of the three-phase inverter. This success underlines the robustness and effectiveness of both full-wave and PWM control strategies. To further underline their practical applicability, experimental validation of PWM and Full Wave control methods is demonstrated in a controlled research laboratory environment.
Integração da Inteligência Artificial na educação em química: desenvolvimento e avaliação de uma ferramenta interativa sob a perspectiva de teorias do desenvolvimento cognitivo
Authors: Almeida Neto Reinaldo , Santos Cássia Rejane Souza , Couto Luciana Santos , Silva Galber Santos Brito da , Rocha Eleane Monaliza de Souza
Published: April 2024

Este artigo explora a integração da Inteligência Artificial (IA) na educação em química através do desenvolvimento e aplicação da "Calculadora Química Interativa", uma ferramenta educacional baseada no ChatGPT4 da OpenAI. Inspirado nas teorias do desenvolvimento cognitivo de Jean Piaget, Lev Vygotsky e Jerome Bruner, este estudo investiga como uma abordagem interativa e baseada em IA pode facilitar a compreensão de conceitos químicos complexos, promovendo uma aprendizagem mais engajada e significativa. Adotando uma metodologia de design iterativo centrado no usuário, a ferramenta foi desenvolvida para simular reações químicas, permitindo aos usuários explorar resultados experimentais e teóricos em um ambiente virtual. O processo de desenvolvimento envolveu ciclos de feedback e ajustes, garantindo que a ferramenta atendesse às necessidades educacionais e fosse pedagogicamente eficaz. A avaliação da "Calculadora Química Interativa" destacou sua capacidade de fornecer previsões precisas e explicações didáticas sobre reações químicas, alinhando-se com os princípios de aprendizagem ativa, construção do conhecimento e descoberta guiada. Os resultados indicam que a ferramenta não só enriquece o processo de aprendizagem em química, mas também serve como um recurso valioso para o ensino de conceitos termodinâmicos e reacionais. Este estudo sublinha o potencial da IA como uma ferramenta transformadora na educação científica, oferecendo insights sobre como as tecnologias emergentes podem ser alinhadas com teorias pedagógicas estabelecidas para melhorar a educação em química. Ao integrar a "Calculadora Química Interativa" no currículo de química, educadores podem facilitar uma experiência de aprendizado mais interativa, intuitiva e profunda, preparando os estudantes para enfrentar os desafios científicos do futuro com uma base sólida de conhecimento.
The integration of construction planning and budget using Building Information Modelling (BIM): a systematic literature review
Authors: Minari Junior Carlos Francisco , Biotto Clarissa Notariano , Serra Sheyla Mara Baptista
Published: April 2024

Although the current context of technological innovation and the applicability of the Building Information Modelling (BIM) methodology in Brazil and in several countries are widespread and in increasing evolution, errors/lack of information are noticed in the planning and budgeting structure of the construction industry daily during the design process, which often leads to delays in expected deadlines and, as a consequence, failure to meet expected costs during the construction process. Current tools show their relevant contribution regarding integrating information from the project domain by providing simulations aiming at increasingly assertive results. In this context, a systematic literature review was carried out through bibliometric analysis and addressed in this article to direct and guide the object of this study towards the development of a method for integrating construction planning and budgeting using BIM. The proposed method contributes to academia and industry in relevant issues, such as time management involving the generation/updating of schedules, construction time simulation, and cost management involving the generation/updating of quantitative surveys, cost estimates, and simulation of construction costs. The results obtained were highlighted and addressed. The research concluded that a small number of few documents were obtained, which can direct the study to fill in gaps, thus contributing to the development of new studies in the context of this article. During the development of the study, the authors highlight the contribution of the research to the proposed method, aiming for dissemination in the Academic area and application in Construction Companies. The proposed method is based on existing literature; however, due to the context of the topic, it inspires future investigations and continuous improvements.
PENGARUH LINGKUNGAN KERJA, MOTIVASI KERJA, KOMPENSASI DAN DISIPLIN TERHADAP KINERJA KARYAWAN PADA KARYAWAN POLTEKTRANS SDP PALEMBANG
Authors: Komara Andika , Hendrayani Iin , Jannah Miftahul , Siringoringo Gokmanto
Published: April 2024

Kinerja karyawan adalah suatu hasil kerja yang dicapai seseorang dalam melaksanakan tugas yang diberikan kepadanya. Adapun faktor-faktor yang mempengaruhi kinerja karyawan dalam penelitian ini yaitu lingkungan kerja, motivasi kerja, kompensasi, dan disiplin. Tujuan penelitian ini adalah untuk mengetahui pengaruh lingkungan kerja, motivasi kerja, kompensasi dan disiplin secara parsial dan simultan terhadap kinerja karyawan Poltektrans SDP Palembang. Adapun teknik pengambilan sampel yang digunakan adalah sampel jenuh, dengan jumlah sampel yang digunakan dalam penelitian ini yaitu 144 responden. Metode penelitian ini yang digunakan adalah metode kuantitatif dengan analisis  data verifikatif. Hasil uji parsial (uji t) menunjukkan bahwa untuk lingkungan kerja (X1) diketahui nilai thitung -428 < nilai ttabel 1,655, motivasi kerja (X2) dapat diketahui nilai thitung -1,392 < nilai ttabel 1,655, kompensasi (X3) dapat diketahui nilai thitung 0,735 > nilai ttabel 1,655, disiplin (X4) diketahui nilai thitung  3,432 > nilai ttabel 1,655 tidak mempunyai pengaruh signifikan secara parsial terhadap kinerja karyawan (Y). Hasil uji  simultan (uji f) menunjukkan bahwa nilai F hitung 5,273 > nilai F tabel 2,67 dan signifikan lebih kecil 0,05 (0,01 < 0,05) maka dapat disimpulkan bahwa hipotesis nol ditolak, artinya variabel lingkungan kerja (X1), motivasi kerja (X2), kompensasi (X3) dan disiplin (X4) secara simultan berpengaruh signifikan terhadap kinerja karyawan (Y). Hasil koefisien Adjusted R Square diperoleh nilai 0,107 (10,7%) berarti nilai variabel lingkungan kerja (X1) motivasi kerja (X2), kompensasi (X3), disiplin (X4) dan kinerja karyawan (Y) sebesar 10,7% sedangkan sisanya 89,3% dapat dijelaskan oleh variabel lain yang tidak diteliti dalam penelitian ini. Bagi peneliti selanjutnya agar menambahkan variabel-variabel lain yang dapat mempengaruhi kinerja karyawan, karena dari penelitian ini diketahui pengaruh lingkungan kerja (X1), motivasi kerja (X2), kompensasi (X3), disiplin (X4) berpengaruh terhadap kinerja karyawan (Y) sebesar 32% sedangkan sisanya 68% dapat dijelaskan oleh variabel lain yang tidak diteliti dalam penelitian ini.
Towards a Greener Future: Analyzing the Trends and Influences in Sustainable Energy Literature
Authors:   Department of Electrical and Electronics Engineering, Sambalpur University Institute of Information Technology, Jyoti Vihar, Odisha,India, Alpesh Alpesh ,   Department of Electrical and Electronics Engineering, Sambalpur University Institute of Information Technology, Jyoti Vihar, Odisha,India, Panda Ambarish
Published: April 2024

The growth in sustainable energy relies significantly on the utilization of clean energy sources, attracting increasing attention in the literature with substantial growth in research outputs. This study employs bibliometric analysis via Scopus to depict the current cleaner energy research landscape and future directions. It amalgamates trends and influential research at the sustainability-renewable energy intersection. By mapping notable authors, institutions, and research clusters, it highlights interdisciplinary aspects across engineering, environmental science, economics, and policy studies. The journal Renewable and Sustainable Energy Reviews is pivotal in publishing articles on sustainable development and renewable energy. China leads in related research, with North China Electric Power University as a major contributor. The most cited article in Nature (2012) underscores the importance of sustainable energy for global prosperity, exploring solar, water-based, and biofuel energy, and outlining pathways for a sustainable future. This research not only reviews the current state-of-the-art literature but also informs researchers regarding the critical pathways and emerging trends in the sustainable development goals.