bluuebunny/crossref_metadata_2025 huggingface dataset:
USG Guiding Spinal Anesthesia Pada Sectio Caesarea
Authors: Saputra Dya
Published: April 2024

Praktek menggunakan teknik blok neuraxial sentral sekarang semakin banyak dilakukan. Pada prinsipnya, teknik ini sangat tergantung pada palpasi tanda anatomis dalam tulang, bersama dengan umpan balik dari sensasi sentuhan saat memasukkan jarum. Meskipun landmark anatomi berguna, mereka sering sulit ditemukan atau dirasakan pada pasien dengan sectio caesarea, obesitas, perubahan struktur anatomi pasien, edema di belakang, dan kelainan tulang belakang yang mendasari atau setelah operasi tulang belakang. Beberapa tahun terakhir telah terlihat meningkatnya minat dalam penggunaan ultrasound untuk intervensi dalam anestesi regional. Ultrasonografi bersifat non-invasif, aman, mudah digunakan, dapat dilakukan dengan cepat, tidak melibatkan paparan radiasi, memberikan gambar real-time, bebas dari efek samping, dan mungkin juga bermanfaat pada pasien hamil yang disertai obesitas dan kelainan tulang belakang
A Review of the Legislation of Rape in the Indian Penal Code
Authors: Li Danyang
Published: April 2024

Chapter 16 of the Indian Criminal Code has a section on "Rape", which is mainly distributed in articles 375 and 376, of which Article 375 is mainly about the basic composition of the crime of rape, and Article 376 is mainly about the basic circumstances of the crime of rape and the special circumstances of the crime of rape and its statutory punishment. There are many similarities and differences between the provisions of rape crime in Indian Penal Code and that of rape crime in China. The research on the relevant laws and regulations of Indian Penal Code is also conducive to the improvement of relevant laws and regulations in China. The provisions of the Indian Penal Code on rape have distinct characteristics, among which there are obvious advantages in the expression of the provisions and the response to special circumstances. There are some problems to be improved in the identification standard, sentencing standard and legislative concept of rape crime. It can be perfected by improving the role of annotations and precedents, perfecting the penal system, and strengthening public education.
THE MECHANISM AND THE DIRECTION OF ORGANISATIONAL CULTURE’S IMPACT ON CORPORATE ENTREPRENEURSHIP
Authors: Janićijević Nebojša , Kontić Ljiljana
Published: April 2024

The paper analyses the mechanism, that is, the way in which organisational culture impacts corporate entrepreneurship. Additionally, the paper analyses the direction of this impact, that is, the assumptions, values, and norms through which culture creates a positive context for corporate entrepreneurship. Corporate entrepreneurship, broadly defined as entrepreneurship within organisations, becomes a prerequisite for the organisations’ survival and development in the era of globalisation, and radical technology and market changes. Organisational culture as a system of assumptions, values, and norms shared by employees and managers significantly determines their opinions and behaviour. The paper demonstrates that organisational culture impacts corporate entrepreneurship by shaping the employees and managers’ interpretative schemes through its assumptions and values. Thus, organisational culture impacts employees and managers’ behaviour in everyday work, and thereby the extent to which this behaviour will be entrepreneurial. We applied the fragmented and integrated approaches in identifying the cultural assumptions, values, and norms through which organisational culture positively impacts corporate entrepreneurship. The fragmented approach showed that organisational culture positively impacts corporate entrepreneurship if it highly values innovations and changes, people development, open and intensive interactions and communications, the autonomy of employees and loose control, identification with the company, focus on work, and openness towards the environment. The integrated approach showed that the following culture types positively impact corporate entrepreneurship: adhocracy culture in Quinn and Cameron’s classification, and constructive culture in Human Synergetics’ classification.
МОРФОЛОШКЕ И ФУНКЦИОНАЛНЕ КАТАКТЕРИСТИКЕ ДЕСНОГ СРЦА КОД ЕЛИТНИХ ТРИАТЛОНАЦА ИЗ СРБИЈЕ
Authors: Papić Ljubica , Ristanović Boris , Ranisavljev Igor , Macura Marija , Popović Dejana , Stojiljković Stanimir
Published: April 2024

Many research papers show that the most intense cardiac remodelling can be seen in endurance athletes, but no studies have examined right heart remodelling in triathletes. The aim of the study is to examine the morphological and functional characteristics of the right heart in elite Serbian triathletes. To assess the morpho-functional characteristics of the right heart, cardiac ultrasounds were performed following current recommendations, using a Philips IE33 device and a 5.2-MHz probe. The right ventricular diameter (RVEDD) was measured from the parasternal cross-section, and the right atrial volume (RAvol) and the right ventricular wall thickness (RVWT) were measured from the four-cavity cross-section. The M-mode method was used to measure the amplitude of the movement of the right ventricular tricuspid annulus (TAPSE). The sample consisted of two groups of men: experimental – elite triathlete seniors from Serbia (n=17; age: 35.88±11.27), and control – healthy untrained adults (n=20; age: 21.35±2.08). RVEDD, RAvol, and RVWT were significantly higher in the experimental group compared to the control group (p<0.01), but no significant difference was observed in TAPSE (p=0.653). Also, RVEDD and RAvol in the experimental group showed values higher than the reference values for the general population, while RVWT and TAPSE were within reference values. The obtained results indicate that there are signs of right heart remodeling in triathletes. Considering the growing number of persons involved in triathlon, it is necessary to draw the attention of all coaches and athletes to the importance of regularly monitoring the triathletes’ hearts.
Plants Signaling Pathways against Biotic and Abiotic Stresses in Challenging Environment
Authors: Mubeen Mustansar , Iftikhar Yasir , Shakeel2 Qaiser
Published: April 2024

Sessile plants confront the fluctuating harsh environmental conditions and react to alterations in biotic and abiotic components of environments by symbiotic association between plant and biosphere. The origins of stresses are the vicinal environment, which is composed of biotic and abiotic agents. A wide range of molecular mechanisms are opted by the plants for their self-defense. The plant faces harsh conditions due to its molecular battery. Signaling molecules engineer the plants to tolerate the stresses. Transposable elements become active due to living and nonliving agents. Physical and chemical agents cause induction in mutation. These changes are the first driving step in the evolution of plants. During evolution, environmental changes force the plants to adapt or succumb to stress. The plants respond to the ecological conditions by modulating the gene programmer.
Decoding Huanglongbing: Understanding the Origins, Impacts, and Remedies for Citrus Greening
Authors: Usman Hafiz Muhammad , Saleem Usman , Shafique Talha
Published: April 2024

Citrus cultivation is a vital component of the agricultural sector, offering significant nutritional and economic benefits. However, citrus plants face numerous disorders, including Huanglongbing (HLB), also known as citrus greening disease. HLB is a devastating disease caused by the bacterial species Candidatus Liberibacter asiaticus (Las), primarily transmitted by the citrus psyllid and grafting. Investigating the distribution and molecular characterization of HLB in various citrus varieties and psyllid populations is crucial. Molecular techniques and iodine starch staining have been used to detect HLB symptoms. Several studies have been designed to determine the incidence and severity of HLB symptoms in different citrus varieties and locations and estimate the psyllid population density in different citrus varieties. Furthermore, these studies established a correlation between the population of psyllids and the incidence and severity of HLB in different locations and these findings suggest a potential link between psyllid infestation and the prevalence of HLB. This study highlights the prevalence of HLB in various locations and varieties, providing insights into the distribution, severity, and correlation between psyllid populations and HLB incidence. The reliability of PCR testing for Las infection confirms its effectiveness. Such findings suggest implementing integrated pest management strategies, including monitoring and controlling psyllid populations, removing infected plants, and using certified disease-free planting materials to prevent HLB spread.
A brief note on the incidence and management of Plasmodiophora rassica
Authors: Umer Muhammad , Anwar Naureen , Shafique Talha
Published: April 2024

Plasmodiophora brassica is a causal agent of brassica clubroot, and synthetic and bio fungicides showed actions against P. brassica. Under controlled-environment conditions, the mechanism of suppression of P. brassica by bio fungicides was antibiosis and mediated host resistance. To promote the delivery of bio fungicides, various formulations like granular and seed treatment were produced, so neither bio fungicides nor chemical fungicides were sufficiently compelling to reduce the population of resting spore P. brassica. Resistant cultivars substantially decreased clubroot intensity and canola yield losses. P. brassica resistance is the most consistent and economically appropriate management approach, but some studies indicate that clubroot resistance may not be robust. To build and deploy a different source of resistance constantly. The bait plants and soil modifications are not commercially practical. Crop data manipulation, soil fumigation, chemical fungicide application, and bio fungicides have much more ability to control P. brassica. The combinations of strategies that can minimize the pressure of disease in infested areas and enhance the resilience and number of the resistant gene versus P. brassica still need to be identified.
Feelflow: Delving into Emotional Depths with Generative AI
Authors: Sharma Er. Ankita , Jabeen Shafaque , Rawat Piyush , Sharma Saloni
Published: April 2024

Abstract: Significant progress has been made in sentiment analysis in recent decades, with a focus on textual data. Nonetheless, the scientific community has not done a great deal to investigate sentiment analysis in the context of audio. By applying a novel method of sentiment analysis to voice transcripts and concentrating on the subtle interpretation of emotions sent by distinct speakers during conversations, this study seeks to close this gap in knowledge. The main goal of this suggested research paper is to create an advanced sentiment analysis system that can communicate with several users in a seamless manner while identifying and assessing the emotional content that each user is conveying through their audio inputs. Advanced approaches like Recurrent Neural Networks (RNN), Long Short Term Memory(LSTM), Teacher Forcing , Encoder- Decoder Model, Tokenization, Gated Recurrent Units (GRU),(Bidirectional Encoder Representations from Transformers),Gradient Boosting Machine.
Design and Development of IoT based Health Monitoring System
Authors: Srilatha T.
Published: April 2024

Abstract: With prospects for developing technology, patient health monitoring is a significant and quickly expanding topic nowadays. Various designs for patient healthcare monitoring systems have been developed by numerous researchers in accordance with technological advancements. The devices in the suggested business plan, which include web-based sensors and mobile applications, communicate over a network to improve the efficiency of the system designed to record and monitor patient health information. In order to precisely analyze a patient's health status, a health system comprising sensors and monitoring devices has been built. These devices are able to collect medical data from patients and then send alarms via GSM module to specialized doctors. In order to gather health-related data, this project will connect patients via the Internet to an appropriate monitoring system that will improve medication care for both local patients and patients who live in remote areas without hospitals nearby. The devices will be able to record the patient's temperature, heart rate, and the oxygen levels in their blood.
Implementation of Digital Filter Using Verilog HDL
Authors: Reddy V. Vittal
Published: April 2024

Abstract: In the context of Very Large Scale Integration technology, where addition is essential, digital filters are essential elements. The performance of the Finite Impulse Response Filter is highly dependent on the speed of its multiplier unit, making itstand out among the others. In order to improve the effectiveness of the FIR filter, we suggest using a Wallace tree multiplier. This novel method offers improvements over conventional multipliers, with a decrease in latency being one of the main advantages. Significant improvements in latency are obtained by using Xilinx tools and implementing this filter design in Verilog HDL. The Wallace tree multiplier is perfect for FIR filter construction in low-voltage and low-power VLSI applications since it has benefits like higher operating frequency and reduced power consumption. This development might improve the effectiveness and performance of digital filters, especially in settings with limited resources, opening the way for more robust VLSI systems
An Approach of Multi Criteria Decision Making in Analyzing Rural Road Safety in Nashik District
Authors: Baviskar Aniket Chhabilal
Published: April 2024

Abstract: Rural road safety evaluations play a significant role in the transportation industry, and most fatal accidents happen on these types of roads. Road Safety Analysis (RSA), a process to evaluate a road's safety criteria and support overall road management decision-making, ensures the avoidance of loss of life and property damage. The "Pradhan Mantri Gram Sadak Yojana," which is primarily utilized in rural areas, is the main emphasis of this. In order to identify the most vulnerable roadways and implement mitigation measures, roads must be prioritized depending on safety ratings. This document presents the results of a study conducted to rank the safety criteria of Pradhan Mantri Gram Sadak Yojana (PMGSY) roads, a particular category of rural roads. A questionnaire survey was used for the study's analysis, and three MCDM methods were used to examine the relationships and interactions between the various factors. The study's findings indicated that the based on input from PMGSY engineers and contractors. From the perspective of the engineers in the Nashik area, we can determine the safety impact factor that influences the safety assessment of the PMGSY route.
Preparing Design Aids for Fe550 Steel for M25 Grade of using Concrete from SP-16
Authors: Ghodke Prof. Kiran
Published: April 2024

Abstract: The main purpose of this paper presentation is to develop design aids for Fe 550 grade of steel from sp 16 handbook. The design aids prepared will be in the form of tables which will benefit in the calculations of various components of concrete structures. To prepare design aids for FE550, you would need to focus on creating resources that cover various aspects related to structural design, specifically for materials like Fe550. Design aids typically include information on material strength, stressstrain relationships, flexural members, compression members, shear and torsion, development length, anchorage, deflection calculation, and general tables, explanations of the basis of preparation, and worked examples illustrating the use of the design aids.
Eye Abnormalities Detection Using Machine Learning
Authors: Ban Prof. B. R. , Lipane Shubham , Dagade Prathamesh , Chavan Sakshi , Gadhe Narendra
Published: April 2024

Abstract: The most common cause of irreversible visualimpairment and incapacity around the world is glaucoma. In any case, the larger part of patients are uninformed of their condition. Despite headways in innovation, diagnosing the movement of glaucoma remains a challengein clinical hone. Observing glaucoma movement ordinarilyincludes a manual examination of the retinal layer, which is time-consuming. This issue can be tended to by computerizing glaucoma conclusions utilizing profound learning and machine learning strategies. A comprehensive survey of various computerized glaucoma forecast and discovery strategies was conducted in this orderly audit. Over 100 papers on machine learning (ML) strategies were analyzed, covering outlines, strategies, goals, execution, benefits, and downsides, with clear charts and tables. Machine learning approaches such as the Resnet calculation and Convolutional Neural Organize are commonly utilized for diagnosing and foreseeing glaucoma. Through precise audits, the most solid strategy for glaucoma discovery and forecast can be distinguished to improve future treatments. Cataracts are the driving cause of visual This ponder givesa comprehensive outline of current headways in machine learning strategies for assessing and classifying cataracts utilizing ophthalmic pictures. The study highlights the qualities and shortcomings of existing investigations and addresses challenges related to independent cataract classification and evaluating utilizing machine learningprocedures, advertising potential arrangements forencourage examination
IoT Based Street Light Fault Detection and Location Tracking
Authors: Kumthekar Mr. Shirish M
Published: April 2024

Abstract: In the era of smart cities, efficient management of public infrastructure is paramount. Street lighting is a fundamental component of urban infrastructure, ensuring safety and security for citizens. However, the conventional methods of monitoring street lights are often inefficient and labor-intensive, leading to delayed detection and resolution of faults. This paper proposes a novel approach for street light fault detection and location tracking leveraging advanced technologies such as Internet of Things (IoT), machine learning, and geographic information systems (GIS). The proposed system consists of a network of IoT-enabled sensors installed on street lights, capable of monitoring various parameters such as luminosity, power consumption, and operational status in real-time, voltage drop, current loss. Through machine learning algorithms, the system intelligently analyzes the sensor data to detect anomalies and potential faults in the street lights. Upon detection of a fault, the system employs location tracking techniques, to precisely pinpoint the faulty street light's location
PC Controller using Android Device
Authors: Dyade Prof. A. M. , Davale Mr. Atharv , Waghule Mr. Rushikesh , Shinde Mr. Digvijay , Virdhe Mr. Amrut , Surshetwar Mr. Abhijeet
Published: April 2024

Abstract: From some years there has been a significant evolution in mobile or smartphone computing and communication devices like mobile phones, media players and many more. This project e is proposed to be able to perform most of the actions a normal computer keyboard and mouse can accomplish. Wireless presentation controller ensures good freedom of movement. but, most of such devices do not allow user full operation on the computer, like running the program, moving or closing an application window, etc This project proposed the design and implementation of converting smartphones into computer remote controllers by which user can wirelessly operate a computer. sWe proposed the system which can reduce the strain of sore moment with the use of computer. It enables the user to move cursor, click operation and applications, play with media such like forward, rewind, pause, run, and increase or reduce the volume of a media file, multi-touch scrolling , pinch gesture for zoom in and out. This could be achieved by useing the proposed application that occurs to the computer network via Wi-Fi which can connects both system with each other, then command from the mobile phone that remotely controls the computer.
Real-Time Traffic Light Optimization Using AI and IOT
Authors: Phand Aniket , Bagade Shweta , Bandgar Nikhil , Wayal Prof. Ganesh
Published: April 2024

Abstract: Urban traffic congestion is a significant challenge globally, impacting transportation efficiency, environmental sustainability, and urban liveability. Traditional traffic control systems often struggle to adapt to changing traffic dynamics, leading to increased congestion and delays. This paper presents a novel traffic management system developed by our team, leveraging cutting-edge technologies such as computer vision, artificial intelligence (AI), and the Internet of Things (IoT). Deployed at intersections, our system utilizes real-time CCTV feeds for traffic analysis, employing advanced image processing and machine learning algorithms, including YOLO V7, to dynamically assess traffic density. These insights inform adaptive adjustments to traffic light timings, with the aim of reducing congestion, enhancing transit efficiency, and mitigating pollution. Our signal switching algorithm, incorporating dynamic logic developed by our team, iteratively adjusts signal timings based on real-time traffic conditions, ensuring responsive and efficient traffic flow management. Through the integration of our innovative technologies, our system seeks to revolutionize urban transportation networks, promoting smarter, more adaptive, and sustainable urban environments.
Food Wastage Management and Tracking System
Authors: Shirbhate Prof. Snehal C.
Published: April 2024

Abstract: In recent years, the issue of food wastage has garnered significant attention due to its adverse environmental, social, and economic implications. To address this challenge, technological innovations have emerged as powerful tools. This abstract provides a comprehensive overview of a Food Wastage Management Android App, offering an integrated solution to reduce food waste. The app leverages cutting-edge technologies to efficiently manage surplus food, promoting responsible consumption and minimizing waste generation. Food wastage is a pervasive issue in our society, and effective management is crucial for improving environmental and economic sustainability. Recognizing the potential of mobile technology in mitigating food waste, we have developed an Android mobile application. This app enables individual users or restaurants to donate and share their surplus food with those in need. Users can register, login, view available items, add new items, access donor details, and logout seamlessly. Utilizing a real-time database, the app allows users in need to browse through donated food images from various contributors and easily contact donors. By facilitating the redistribution of surplus food, the app aims to combat food wastage and promote a more sustainable food ecosystem.
Multiple Disease Prediction using ML
Authors: Mhatre Prof. A. D. , Umale P. R. , Pawar A. P. , Mhatre P. P. , Singh A. S.
Published: April 2024

Abstract: This study proposes a multi-disease prediction system integrating assessments for diabetes, heart disease, and Parkinson’s disease. The system leverages machine learning algorithms like Logistic Regression, Support Vector Machines (SVMs), and K-Nearest Neighbors (KNN) to predict disease risk through a unified user interface. We delve into the system design process, emphasizing the importance of defining system compo- nents and exploring the utility of modeling languages. The research explores the potential of SVMs, including linear and non-linear variations, for disease prediction. We analyze existing literature on applying machine learning algorithms for disease prediction and discuss their potential for disease classification. Finally, the abstract addresses challenges and future directions in disease prediction, aiming to provide valuable insights for further research and development efforts.
Stock Price Prediction Using Machine Learning
Authors: Gangthade Ritesh Ananda
Published: April 2024

Abstract: The "Stock Price Prediction Using Machine Learning" project aims to develop an advanced predictive model for forecasting stock prices in financial markets. The volatility and complexity of stock markets make accurate predictions challenging, and the utilization of machine learning techniques offers a promising approach to address this challenge. This project leverages historical stock data, technical indicators, and sentiment analysis to create a robust predictive model. The methodology involves collecting and preprocessing a vast dataset of historical stock prices and relevant financial indicators. Various machine learning algorithms, including but not limited to linear regression, decision trees, support vector machines, and neural networks, are employed to analyze patterns and relationships within the data. The project focuses on model evaluation and comparison to identify the most accurate and reliable prediction model. Performance metrics such as Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and accuracy are utilized to assess the effectiveness of the models. Hyperparameter tuning and cross- validation are employed to enhance the models' generalization capabilities
Morphological description of the White-throated treerunner (Pygarrhichas albogularis, King 1831) in the Cape Horn Biosphere Reserve, Chile
Authors: Novoa Galaz Fernando , Jara Rocio F. , Barroso Omar , Altamirano Tomas A. , Ibarra José Tomás , De Aguilar Juan Rivero , Vasquez Rodrigo A. , Rozzi Ricardo
Published: April 2024

The sub-Antarctic Magellanic ecoregion is one of the most pristine wilderness areas remaining on the planet, and is home to the southernmost forest ecosystems in the world, which are protected by the Cape Horn Biosphere Reserve (CHBR). In these forests, birds are the group of vertebrates with the largest number of species. However, essential aspects of the ecology and morphology of several species in this region are still understudied. These species include the White-throated treerunner (Pygarrhichas albogularis, King 1831), considered a “living fossil” as it is the only living species of the genus Pygarrhichas. In addition, this Furnariid is endemic to the temperate forests of South America. Using the 23-year database of the Long-Term Ornithological Research Program of Omora Park (54º56’S, 67º38’W), based on monthly captures and banding of forest birds, we describe the morphology, longevity, and presence of the White- throated treerunner in the CHBR. Between 2000 and 2022, 91 individuals were captured, including 29 recaptures. Based on these recaptures we determined that this species can live for at least five years. Morphometric measures showed a positive correlation between bill measures and tarsus length with both tail and wing lengths. The average weight varied for each season but not significantly. The greater presence on old-growth forests sites suggests a dependence of treerunners on large trees. This study expands the knowledge about the natural history of the White-throated treerunner, particularly about its populations inhabiting the world’s southernmost forests
COMPETITIVIDADE NA AGRICULTURA FAMILIAR CATARINENSE A PARTIR DAS REDES DE COOPERAÇÃO
Authors: Ossemer Laiana da Silva , Miranda Ronaldo Leão de , Parisotto Iara Regina dos Santos , Miranda Janine Patricia Jost de
Published: April 2024

O presente estudo tem por objetivo analisar de que forma as redes de cooperação contribuem com a geração de vantagem competitiva aos agricultores familiares que fornecem produtos para a alimentação escolar. Metodologicamente, a pesquisa caracteriza-se como descritiva em relação a seu objetivo, quanto aos procedimentos pode ser considerada como pesquisa aplicada a partir do levantamento de dados primários e qualitativa em relação à abordagem do problema. Os principais resultados indicam que os agricultores familiares organizados em redes de cooperação possuem ganhos competitivos, sendo eles: redução de custos e riscos, acúmulo de capital social, aprendizagem coletiva, inovação colaborativa, escala e poder de mercado, e geração de soluções coletivas. Os resultados alcançados por este estudo podem ser considerados relevantes no que tange à análise de como as redes de cooperação podem refletir no cotidiano do agricultor familiar, gerando a melhoria na qualidade de vida, competitividade, posterior aumento da renda, influenciando no desenvolvimento local e na empregabilidade.
PANDEMIA DA COVID-19 E DIFUSÃO DA INOVAÇÃO EM PLATAFORMAS DE ENTREGAS SOB DEMANDA: UMA ANÁLISE COM MODELOS BASEADOS EM AGENTES
Authors: Giovanini Adilson , Almeida Helberte João França
Published: April 2024

A pandemia da Covid-19 possibilitou a mudança nos hábitos dos consumidores, por outro lado, os restaurantes tiveram que aderir à realização de entregas sob demanda para minimizarem a retração nas suas receitas, ou atenderem a regulamentação imposta pelos governantes locais. Diante deste contexto, um modelo baseado em agentes é utilizado para verificar se a ocorrência da pandemia da covid-19, é capaz de gerar a difusão da tecnologia de entregas sob demanda. As simulações realizadas apontam que a pandemia altera as preferências e decisões de consumidores e restaurantes, o que possibilita a difusão da nova tecnologia, mesmo sem a presença de entusiastas. Ademais, estas mudanças de hábitos são persistentes no longo prazo, isto é, mesmo que os choques sejam de curto prazo, fim da pandemia, as alterações nos hábitos dos consumidores e restaurantes com maior presença de entregas delivery em suas rotinas diárias é permanente.
Developing a Peer Counseling Guidebook for Junior High School Students: Enhancing Counseling Services and Promoting Mental Well-being
Authors: Rohayati Rohayati , Emosda Emosda , Jamilah Jamilah
Published: April 2024

The development of a peer counseling guidebook for junior high school students aims to enhance the quality of counseling services in schools. Drawing from the necessity of addressing adolescent challenges and the significance of peer influence, this study utilized a development model to create an effective guide. The research involved 42 class VIII students, following the ADDIE model for guide development. Material and design experts validated the guide, resulting in high scores of 96.8% and 87.5%, respectively. Field trials exhibited promising results, with an average score of 85.7% to 90.3%. The guidebook's potential was evident in positive student responses, indicating its capacity to strengthen social support networks and promote mental well-being among adolescents. This research contributes a holistic approach to guidebook development, emphasizing practical needs and mental health literacy. Despite limitations in generalizability, future research should broaden field trials to diverse school contexts for wider applicability. In conclusion, the peer counseling guide offers valuable support in addressing adolescent challenges, emphasizing the importance of peer influence in school counseling services.
PHYTOCHEMICAL PROFILING AND ANTICANCER ACTIVITIES OF ETHANOLIC AND AQUEOUS PROPOLIS EXTRACT OF TRIGONA APICALIS.
Authors: Abdul Gapar Nor Adilah , Asem Nornaimah , Abd Hapit Nor Hussaini , MAS Mohamed , Omar Eshaifol Azam
Published: April 2024

Propolis is an important structure that stores and protects honey in the stingless beehive. Despite its known benefits, there is lack of research that looks into the antioxidant and anticancer effects of propolis produced by a Malaysian stingless bee species, Trigona apicalis. Propolis was extracted using ethanol and aqueous and tested for antioxidant assay. The total phenolic and flavonoid contents were determined for both extracts. The in vitro cytotoxicity was assessed manually against the HeLa cell lines and the extracts were analyzed using GC-MS for potential compounds present. Ethanolic extract of propolis (EEP) was revealed to be a better scavenger of DPPH and ABTS with higher phenolic content; 85 µg gallic acid equivalents/g. Meanwhile, the aqueous extract of propolis (AEP) has higher flavonoid content; 147.44 µg quercetin equivalents/g. EEP and AEP have IC50 of 31.25 and 120 µg/mL respectively during a viability test against HeLa cells and the proliferation activity was constantly at a lower rate as compared to the control which occurred in 5 days. Both propolis extracts induced late apoptosis and EEP arrested at G0/G1 phase while AEP arrested at S phase. Several compounds have been identified, whereby 1,6-cyclodecadine,1-methyl-5-methylene-8-(1-methylethyl)-s-(E,E) was predominantly detected in EEP, while 9-isopropyl-1-methyl-2-methylene-5-oxatricydo[5.4.0.0(3,8)] undecane was major compound in AEP. While further studies are required to validate the above findings, propolis produced by local stingless bee species seems a suitable research candidate for discovery of potential anticancer agent.
MAGNETIC RESONANCE IMAGING EVALUATION OF INCIDENTAL CARDIAC IRRADIATION DURING LEFT BREAST CANCER RADIOTHERAPY: A SYSTEMATIC REVIEW
Authors: Nuruddeen Mohammad Gunda , A. Karim Noor Khairiah , Mad Naser Mohamad Nazrulhisham , Garba Idris
Published: April 2024

Breast cancer is one of the most common malignant tumours among women. Radiotherapy plays a key role in the management of breast cancer patients. However, radiotherapy results in incidental exposure of the heart. This work systematically reviewed articles on magnetic resonance imaging (MRI) evaluation of cardiac changes due to incidental cardiac irradiation during left breast radiotherapy and also to identify the MRI sequences used during evaluation. A systematic literature search was conducted in the following three selected databases: PubMed, ScienceDirect and Scopus using carefully defined search terms related to the left breast, MRI and cardiac irradiation. The quality of the included papers was determined using the critical appraisal skills programme for qualitative studies. The review had a total of six articles that were screened and graded for quality. Articles graded as high and moderate in terms of quality assessment were included and characterised based on the sample size, type of cancer treated, treatment methods employed, and period MRI was performed after radiotherapy. The review showed that breast cancer patients who had radiotherapy also developed radiation-induced heart disease (RIHD) few months post treatment. The review noted that breast cancer patients receiving radiation treatment are at high risk of RIHD which may affect their quality of life after completion of treatment. Cardiac MRI facilitates early detection of RIHD, hence better patient management.
DEVELOPMENT AND DESIGN OF ARTIFICIAL PALATE MATERIALS FOR SPEECH TREATMENT: A REVIEW
Authors: Mat Zin Syatirah , Suhaimi Fatanah Mohamad , Mohd Noor Siti Noor Fazliah
Published: April 2024

With the advancement of technology, various denture base materials have been developed with enhanced mechanical and physical properties. Because the mechanical properties of the denture base play a significant role in its clinical lifespan, this systematic review aims to examine the effects of various additives added to polymethyl methacrylate (PMMA) denture base materials on the physical (surface properties, water sorption) and mechanical (flexural strength, impact strength, thermal conductivity) properties of the denture base and can then be used to produce artificial palates. An electronic database search of peer-reviewed published papers in English was conducted using relevant keywords between the 23rd of August 2016 and the 24th of August 2022. The database yielded 1048 relevant published articles. However, 21 articles were qualified for this study after considering the inclusion and exclusion criteria. A substantial body of literature demonstrates that zirconium ZrO2 is widely used as an additive in the modification of PMMA. Meanwhile, flexural strength is the most conducted test based on the literature.
CLINICAL EFFECTS, USES AND APPLICATIONS OF MISWAK (SALVADORA PERSICA) ON ORAL HEALTH OVER THE LAST THREE DECADES: A SCOPING REVIEW OF LITERATURE
Authors: Hunaydi Zahrah Faraj Omar , Shafiai Noor Ayuni Ahmad , Mohd Noor Siti Noor Fazliah , Abdul Rahman Nawal Radhiah
Published: April 2024

The miswak chewing sticks (Salvadora persica) is an effective oral care tool, and its viability is accomplished via the potential of constituent fibres to manage plaque due to friction between plant fibres and tooth surfaces, in addition to the abundance of its phytoconstituents, which are unusual in their sophistication as well as bioactivity. Previous research has unearthed that miswak has anti-plaque, antigingivitis, anti-cariogenic, and whitening properties, as well as improved oral health. This study adopts a systematic-descriptive method to analyse the clinical benefits, potency, limitations and disadvantages, effects, uses, and applications of miswak. Because of the combination of mechanical cleansing, enhanced salivation, and antibacterial component leaching-out, as well as other major therapeutic properties, the efficacy of adequate miswak usage can be equal to or exceed that of toothbrushes in eradicating dental plaque. However, the effectiveness of the miswak is inhibited by the configuration of its bristles (i.e., poor angulation), which limits its mechanical action concerning plaque removal. Consequently, it is essential to encourage researchers to support ongoing research into making miswak toothbrushes better at adapting to user needs and thoroughly cleaning all tooth surfaces.
A 10-YEAR SCOPING REVIEW OF SCREENING AND ASSESSMENT TOOLS USED FOR DRIVING REHABILITATION IN OLDER ADULTS
Authors: Nordin Nurani , Dahlan Akehsan , Ghazali Masuri Mohamad , Nurhidayah Ninik
Published: April 2024

This scoping review aims to explore the screening and assessment tools used for driving rehabilitation in older adults and the domains that these tools evaluate. Web of Science, Scopus, and PubMed databases were used to search for potential studies published from 2012 to 2022, and 34 studies met our inclusion criteria. The findings revealed various types of tools used to screen and assess older adults' fitness to drive, including off-road screening tools (n = 54), off-road assessment tools (n = 21), and on-road assessment tools (n = 20). This review also identified five main domains evaluated by these tools: general information, physical, cognitive, vision, and driving competency. This review provides valuable insights into the screening and assessment tools available for evaluating driving rehabilitation in older adults. The results of this study may assist in the growth of the occupational therapy profession in the area of driving rehabilitation by guiding them in selecting the most appropriate tools to evaluate older adults' fitness to drive.
COMPREENSÃO DE METÁFORA POR INDIVÍDUOS TEA: UMA REVISÃO INTEGRATIVA 1 METAPHOR COMPREHENSION BY ASD-INDIVIDUALS: AN INTEGRATIVE REVIEW
Authors: Cony Isabel
Published: April 2024

O presente trabalho apresenta uma revisão integrativa de estudos
referentes à compreensão metafórica por indivíduos diagnosticados com
TEA publicados por pesquisadores/as brasileiros/as, e tem por objetivo
subsidiar um futuro trabalho de pesquisa experimental de base
psicolinguística abordando o uso e a compreensão de metáforas por esses
indivíduos. A busca por artigos se deu através de três bancos de dados
de referência brasileiros – Portal de Periódicos da CAPES, Scopus e
Scielo –, por meio de uma pesquisa avançada por trabalhos que
apresentassem os termos metáfora e autismo. No total, foram encontrados
somente 3 artigos que cumpriam os pré-requisitos estabelecidos. Para
cada artigo, foram analisados: definição de metáfora, definição de
transtorno do espectro autista (TEA) e/ou autismo e a perspectiva
teórica adotada. Os resultados encontrados evidenciam a necessidade
premente de se desenvolver pesquisas neste campo no sentido de melhor
compreender esse fenômeno para, então, desenvolver propostas de
intervenções que contribuam para a qualidade de vida de sujeitos
diagnosticados com TEA.

This paper presents an integrative review of studies on metaphorical
comprehension by individuals diagnosed with ASD published by Brazilian
researchers. Our aim is to subsidize future psycholinguistic-based
experimental research on the use and comprehension of metaphors by these
individuals. We conducted our search for articles in three Brazilian
reference databases – Portal de Periódicos da CAPES, Scopus and Scielo
– through the advanced search tool, and selected papers that presented
the terms metaphor and autism. In total, only 3 articles were found that
met the established criteria. For each article, the following were
analyzed: definition of metaphor, definition of autism spectrum disorder
(ASD) and/or autism and the theoretical perspective adopted by the
researchers. The results show that there is an urgent need to develop
research in this field to better understand this phenomenon and develop
proposals for interventions that contribute to the quality of life of
people diagnosed with ASD.
Rapid Topological Analysis and State Estimation Based on Spatiotemporal “Power Grid One Graph”
Authors: Dai Zhen , Liang Shouyu , Tang Yachen , Tan Jun , Liu Guangyi , Feng Qinyu , Li Xuanang
Published: April 2024

The integrated application of rapid and accurate topological analysis
with state estimation is crucial for ensuring the reliability,
stability, and efficiency of power systems. In response to this need,
this paper proposed an innovative approach to constructing a
spatiotemporal “Power Grid One Graph” model using a graph database and
achieving fast topological analysis and state estimation. Firstly, a
spatiotemporal power grid model was constructed by combining grid
topology with temporally dynamic updates of the power grid telemetric
and telesignalling. Subsequently, based on the graph model and employing
entity mapping, the spatiotemporal node-breaker graph model was
generated. Building upon this model, the topological error
identification was executed, and a fast topological analysis
optimization algorithm considering the functionality of components was
utilized to create the corresponding dynamic bus-branch graph model,
facilitating graph-based state estimation. Finally, the proposed method
on a real power grid system was validated, and the application and
performance enhancement of the spatiotemporal power grid model
considering topological changes were explored. The introduced method
provides theoretical and practical support for the digital
transformation of power systems and the developing of digital twin power
grids.
Deenz Multidimensional Schizoid Personality Scale (DMSPS-28): Measuring Multiple Facets of Schizoid Personality
Authors: Dar Deen Mohd
Published: April 2024

This research paper examines the effectiveness of the Deenz
Multidimensional Schizoid Personality Scale (DMSPS-28) in assessing
various dimensions of schizoid personality among graduate students. The
study involved a sample of 103 participants, comprising 67 males and 36
females. The DMSPS-28, designed to evaluate five key facets of schizoid
personality—social detachment, anhedonia, blunted affect, solitude,
and friendlessness—was employed as the primary assessment instrument.

Utilizing factor analysis, the study scrutinized the data to determine
the reliability and validity of the DMSPS-28. Results indicated
discernible gender differences in schizoid traits, with males exhibiting
heightened tendencies towards social detachment and solitude, while
females displayed elevated levels of anhedonia and blunted affect. The
DMSPS-28 demonstrated a robust level of reliability, with a coefficient
of 0.91, attesting to its consistency in measuring schizoid personality
dimensions.

These findings hold significance for advancing our comprehension of
schizoid personality and affirm the utility of the DMSPS-28 as an
effective tool for assessment.
Resisting the Lure of Complex Models As Early Career Ecologists
Authors: Wood Andrew
Published: April 2024

Scientists have not always had freely accessible high-quality and high-resolution datasets relevant to their study systems. Today, early career researchers routinely confront a deluge of data that is relevant to their research questions. Early-career scientists face the combined challenges of using accessible yet powerful models, under high publication pressure, and with mixed guidance from scientists trained under an earlier era. There exists a temptation to reach for black-box analytical approaches to offer guidance through this wilderness of data. New complex models consisting of artificial intelligence and machine learning tools are poised to be co-opted by large numbers of early career researchers due to their modelling strength and easy, out-of-the-box usage. Just because we can use these new tools, does not mean we always should. I emphasise the role of complexity in the construction of our ecological models and suggest a new model planning process which early career researchers can use when trying to develop our understanding of the natural world.
What Stops Markers from Providing Consistent and Effective Feedback: Lessons from the Enhanced Rubric Method
Authors: Grozev Vladislav H. , Smalley David
Published: April 2024

The present qualitative research explored the barriers for markers to
provide consistent and effective essay feedback when they used the
Enhanced Rubric Method (ERM) which is a highly structured method for
providing feedback. We identified three categories of barriers -
markers’ underpinning values when providing feedback (different beliefs
as to what is good feedback and empathy with students), personal
differences in feedback provision (preferring certain assessment
criteria and overusing feedback), and discrepant use of the ERM
(learning the Quickmarks and criteria, creating own Quickmarks,
different uses of positive feedback, and increased use of personalised
feedback). These factors suggest that, despite markers’ best intentions
towards students and principles of consistency, specific practical
recommendations are necessary to ensure consistent and effective
feedback across all markers on a given assignment. We provided three
specific recommendations for practitioners, namely, assessing markers’
levels of feedback literacy prior to marking and reassuring markers that
consistent and effective feedback helps students, co-designing the
feedback method with markers, and providing continued targeted training
for markers. Our results, practical, and future research recommendations
can lead practitioners and academics to achieving satisfactory levels of
consistent and effective feedback, can help markers’ professional
development, and can aid student learning.

Keywords: feedback, Quickmarks, values, markers
An overview of current assessment techniques for evaluating cutaneous perfusion in reconstructive surgery
Authors: Fiedler Lukas S , Daaloul Houda
Published: April 2024

This paper provides a comprehensive analysis of modern techniques used
in the assessment of cutaneous flaps in reconstructive surgery. It
emphasizes the importance of preoperative planning and intra- and
perioperative assessment of flap perfusion to ensure successful
outcomes. Despite technological advancements, direct clinical assessment
remains the gold standard. We categorized assessment techniques into
non-invasive and invasive modalities, discussing their strengths and
weaknesses. Non-invasive methods, such as Acoustic Doppler Sonography,
Near-Infrared Spectroscopy, Hyperspectral Imaging Thermal Imaging, and
remote-Photoplethysmography, offer accessibility and safety but may
sacrifice specificity. Invasive techniques, including Contrast-Enhanced
Ultrasound, Computed Tomography Angiography, Near-Infrared Fluorescence
Angiography with Indocyanine Green, and Implantable Doppler Probe,
provide high accuracy but introduce additional risks. We emphasize the
need for a tailored decision-making process based on specific clinical
scenarios, patient characteristics, procedural requirements, and surgeon
expertise. It also discusses potential future advancements in flap
assessment, including the integration of artificial intelligence and
emerging technologies.