bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementasi Metode MAUT Dalam Pemilihan Perusahaan Binaan
Authors: Christina M M Anastasya , Andika Beni , Elfitriani Elfitriani 
Published: November 2024

Masalah dari proses pemilihan perusahaan/industri binaan yaitu masih dengan menggunakan cara manual tanpa menggunakan metode komputasi dan kriteria serta belum adanya sebuah sistem cerdas. Hal ini akan menimbulkan hasil yang kurang akurat, proses pemilihan yang cukup lama hingga dapat memungkinkan adanya penilaian secara subjektif atau satu sudut pandang saja. Oleh karena itu, dalam memutuskan pemilihan perusahaan/industri binaan pada Â Â membutuhkan SPK (Sistem Pendukung Keputusan). Selain itu Sistem Pendukung Keputusan juga merupakan sistem berbasis komputer yang mampu memecahkan masalah manajemen dalam menghasilkan alternatif terbaik untuk mendukung keputusan yang diambil oleh pengambil keputusan yang menggunakan metode komputasi bernama Metode MAUT. Multi Attribute Utility Theory (MAUT) merupakan suatu metode dalam pengambilan keputusan yang dapat membantu dalam pengambilan keputusan dalam SPK serta memiliki banyak kelebihan salah satunya adalah rating kinerja pada setiap atribut (cost dan benefit) tidak perlu dilakukan normalisasi. Hasil dari penelitian ini adalah terciptanya sebuah sistem yang dapat memberikan output berupa urutan nilai calon perusahaan/industry binaan berdasarkan kriteria yang telah ditentukan secara berurutan mulai dari nilai tertinggi hingga terendah dalam bentuk perangkingan.
Sistem Pakar Mendeteksi Kerusakan Mesin Mobil Avanza Pada Sistem Percepatan Menggunakan Metode Teorema Bayes
Authors: Kurniawan Surya Aji , Saripurna Darjat , Elfitriani Elfitriani 
Published: November 2024

Pada masa kini alat transportasi sangat banyak digunakan kalangan masyarakat karna sudah menjadi kebutahan umum untuk menunjang sebuah aktivitas sehari-hari salah satunya adalah mobil. Kendaraan roda empat ini sudah banyak digunakan oleh masyarakat untuk kebutuhan sehari-hari, Oleh karena itu penting sekali untuk menjaga dan merawat sistem percepatan dari mobil tersebut. Kerusakan Mobil pada sistem percepatan yang di jumpai di Avanza dapat di deteksi menggunakan sistem pakar yang mempermudah para teksni untuk menemukan sebuah permasalahan yang terjadi pada sistem percepatan mobil tersebut secara efektifHasil penelitian ini mampu untuk memenuhi kebutuhan masyarakat atau informasi khususnya bagi mereka yang memiliki kerusakan pada sistem percepatan pada mobil Avanza. Teorema bayes merupakan salah satu model yang terdapat pada Â sistem pakar yang menggunakan supervisedÂ dari analisis masalah diatas maka akan di rancang suatu aplikasi untuk mendeteksi kerusakan pada mobil.Progrman ini dibuat untuk membantu mendeteksi kerusakan mobil dan menyelesaikan masalah diatas dan untuk mempermudah pelanggan untuk melakukan cek mobil. Hasil dari penelitian ini yaitu dapat mempermudah penguna untuk melakukan analisis terhadap penguna mobil menggunakan metode Teorema Bayes sehingga dapat memberikan hasil informasi dan mengetahui kerusakanÂ awalÂ sehingga masyrakat mendapat solusi untuk mengatasi kerusakan tersebut.
Critical incidents in schools. Staff wellbeing and perceptions of psychological support
Authors: Hayes Ben , Gaukroger Amanda 
Published: November 2024

AimsAcross the United Kingdom (UK), schools are required to respond to and support students, families and staff following a traumatic event and Educational Psychology (EP) Services often provide support to schools. This study explored school staff wellbeing in the context of critical incidents in schools along with their views and perspectives of psychological support.MethodsAn explanatory sequential mixed methods design was utilised consisting of two phases. In phase one, quantitative data was collected through an online questionnaire which gathered information on staff wellbeing, the impact of the event and EP support. For phase two, interviews explored staff perspectives on the support provided by the EPs.FindingsAnalysis found a significant positive relationship between wellbeing and EP support. Themes provide insight into the impact of the support provided by the EPs, including barriers and negative perceptions of the support as well as benefits.LimitationsIt is likely that there is a selection bias operating in teachers who chose to take part in the research. Additionally, the number of teachers taking part was not as high as might have been hoped for.ConclusionsA number of implications and conclusions are set out. In particular, effective articulation of what support will look like and being clear what is offered by an EP service is a crucial element of the support provided.
‘I had never heard of autism before’ – The experiences of East African immigrant parents of autistic children in the UK
Authors: Oumar Zahra , Dewey Jessica 
Published: November 2024

AimsThis research investigated the experiences of East African immigrant parents (EAIP) living in the UK and how they came to understand autism both individually and within the context of their families and communities. While also exploring their experiences of accessing support and of Educational Psychology (EP) involvement.MethodA qualitative research design, using semi-structured interviews was used. Seven mothers and one father (three Eritrean, three Somali, one Rwandan and one Sudanese) were recruited from an inner London local authority. Braun and Clarke’s (2020) reflexive thematic analysis was used to guide the data collection and analysis process. An intersectional lens was applied to privilege the unheard voices of the parents.FindingsFour overarching themes were identified: (1) ‘There is no word for autism’ – the struggle to explain, (2) From lack of awareness to taking action, (3) The search for support and (4) The role of the EP.LimitationsOnly one father participated in the research. All participants were recruited from a single inner London local authority. Additionally, the homogeneity of the sample was affected by the unique characteristics of one of the participants.ConclusionsThe findings highlight the importance of providing psychoeducation about autism to East African communities, providing clarity about the role of the EP and empowering and guiding parents to access available support and services. Further research with larger and more diverse samples is recommended to enrich our understanding of the complexities within the East African immigrant community.
Performance Evaluation of UFMC System using Neural Networks for BER Prediction and Efficiency Optimization
Authors: Padakanti Kiran Kumar , R Mohandas , N Sivapriya , Vaigandla Karthik Kumar 
Published: November 2024

In this article, we explore the use of neural networks (NNs) to enhance the performance evaluation of Universal Filtered Multi-Carrier (UFMC) systems, a key technology for modern communication networks such as 5G and beyond. Traditional methods of evaluating the Bit Error Rate (BER) and system efficiency in UFMC system can be computationally intensive and less accurate under dynamic conditions. To address these challenges, we propose a NN based approach that not only improves the accuracy of BER prediction but also significantly optimizes the system's overall efficiency. Channel state estimation (CSE) plays a major role for UFMC system to address the phenomenon of multipath channel fading. In order to achieve a high data rate using UFMC technology, it is necessary to have an effective CSE and very accurate signal detection. Recently, there has been significant interest in utilizing deep learning (DL) to enhance channel estimations. This article introduces a new method for channel estimation (CE) in UFMC system. The suggested approach utilizes DL models to improve the CE. For the UFMC system, we propose a detector based on bidirectional long short-term memory (Bi-LSTM). To identify the transmitted symbols, the suggested detector uses DL training data directly. Currently, a significant drawback of UFMC systems is the presence of a high peak-to-average power ratio (PAPR). The approach aims to reduce the BER and enhances the efficiency of the UFMC system. This is achieved by dynamically setting the constellation mapping and symbol damping on each subcarrier and sub-symbol. The results illustrate that the proposed model can accurately and efficiently recognize UFMC signals. The suggested model is being compared to Least Square (LS), LSTM, and Minimum Mean Square Error (MMSE) channel estimators. Through extensive simulations, our results demonstrate that the NN model reduces BER and enhances efficiency. The proposed model gives more effective performance in terms of enhanced efficiency and reduction of BER. The findings offer valuable insights for the design and optimization of next-generation communication systems, where accurate and efficient performance evaluation is critical.
Sprawl and Biodiversity
Authors: Cornelisse Tara , Johnson Elizabeth , Jover Teri , Klemens Michael , Lawrence Barbara , Marek Mia 
Published: November 2024

"This module focuses on sprawl—unplanned development patterns of auto-dependent dispersed single-use and low-density land—which has become widespread in the United States. The causes of sprawl are diverse, but are based in public policies governing housing, taxation, zoning, transportation, etc. at all government levels. While there is now a growing movement to halt the expansion of sprawl in the U.S., there is no single or easy solution. Students will examine the unanticipated yet wide-ranging effects of sprawl on all levels of diversity, from species to ecosystem processes, and consider the relationships between sprawl and other threats to biodiversity, including habitat loss, invasive species, and climate change."
Design and Practical Implementation of a Stream Cipher Algorithm Based on a Lorenz System
Authors: Alibraheemi Hayder Mazin Makki , Al Ibraheemi Mazen M. A. , Radhy Zainb Hassan 
Published: November 2024

Currently, the security of data has gained significant attention in modern life. Researchers have continued to address this issue. This work addresses image encryption in communication systems. It presents a proposed design and implementation of a cryptography system based on the Lorenz chaos oscillator. The paper methodology uses Xilinx System Generator (XSG) and Field Programmable Gate Array (FPGA) technologies to implement the chaotic system. To determine the approach that uses the least amount of FPGA resources while providing effective and efficient performance, the differential equations of the Lorenz chaotic system are solved via the forward-Euler and Runge–Kutta integration techniques. In the XSG environment, a secure communication system is constructed on the basis of the solution of the differential equations. After that, the planned communication system is implemented on the FPGA board and tested to encrypt images (coloured images). The histogram, entropy and other related security analysis factors are calculated and analysed to test the efficiency of the designed system. Six statistical methods were employed to provide a high level of image encryption in this work. Findings have shown that the proposed system generates (with stable, fast and robust performance) pseudorandom bits that can be successfully used to encrypt the data bits. The simulation and FPGA results are in good agreement; however, the security analysis factors prove that the system can be successfully adopted for image encryption purposes in real-time applications.
Youtube “Satu Persen” Sebagai Sarana Komunikasi Massa Pengembangan Diri Mahasiswa
Authors: Ervita Riliana  , Nina Yuliana  
Published: November 2024

YouTube, which is a means of mass communication, now has an impact on student self-development. YouTube "One Percent" is a show that contains content about self-development. Students with all the problems of self-development that are not taught at school begin to improve their habits, lifestyle, finance, socializing through the educational show "One Percent". The purpose of this study is how the form of utilization of Youtube "One Percent" as a means of self-development and to find out how the impact of the audience of the YouTube channel "One Percent" as a means of communication in developing themselves. The research approach used is a qualitative approach. The nature of exploratory qualitative research with research methods using in-depth interviews. The results in this study are the utilization of YouTube One Percent as a means of mass communication for self-development is considered effective in student self-development, and has a positive impact on students.
Pandangan Mahasiswa Universitas Teknologi Sumbawa Terkait Simbol Dalam Standar Kecantikan
Authors: Syofyan Aldy Wijaya  , Topan Rahmatul Iman  
Published: November 2024

Human perception of beauty is different, beauty is the dream of every woman, both teenagers and children from an early age. so this study aims to determine the views of Sumbawa University of Technology students on beauty. This research uses qualitative research methods and the basic type of qualitative description with data collection techniques in the form of interviews and documentation. This study was conducted within the environment of Sumbawa University of Technology. Interviews and documentation were used as data collection techniques. Using Pride and Farrel's Perception, perception is all the processes by which information is retrieved, organized, interpreted and communicated. This can be seen from one's opinion about beauty standards. Because female beauty is not only physical, but one's personality and intelligent behavior, can be said to be a measure of beauty.
Evaluation of Artificial Intelligence as a Source of Motivation in the Teaching of Chemistry: A Study with Tenth Grade Students at the Adventist School of Ibagué
Authors: Leonardo Alberto Mauris De la Ossa  , Nury N. Garzón  , Celmira Pérez Pulido  , Blanca E. García Herrán  , Jorge H. Hoyos  
Published: November 2024

The objective of this research has been to evaluate the effect of the integration of Artificial Intelligence on the motivation of students, in the area of Chemistry of tenth grade of the Adventist School of Ibagué. To this end, a methodology with a qualitative approach and a Participatory Action Research design with four phases were used: planning, action, observation and reflection. The information was collected through observation and interview techniques for which field diaries and structured script were used as research instruments. This information was analyzed with the Atlas.ti 23 software, the resulting codes allowed the definition of the categories: experience in the use of artificial intelligence, motivation and commitment, meaningful learning and perceptions about teaching and learning. The results obtained reflect an increase in student motivation and engagement, as well as a favorable impact on meaningful learning. They highlight the pedagogical potential of this resource, to diversify and enrich didactics in the teaching of chemistry. A positive perception by students towards the implementation of AI in the classroom was identified. It is concluded that the use of AI mediated with the design of pedagogical strategies to create learning environments and situations can improve the motivation of students, generating a space for knowledge and meaningful learning. However, challenges were also identified, such as the need for teacher and student training in the management and proper use of technological resources. In addition, the importance of not considering artificial intelligence as a total replacement for the role of the teacher, but as a complementary tool that requires an adequate pedagogical approach, is highlighted.
The role of andrographolide as a potential anticancer agent against gastric cancer cell lines: a systematic review
Authors: Anis Amiera Muhamad Alojid , Tuan Kub Tuan Noorkorina , Harun Azian , Mohamud Rohimah , Razian Nur Rina Alissa , Muhammad Ismadi Yasmin Khairani , Wan Alias Wan Alif Syazwani , Abdulrazak Mohammed Hussain , Teni Ernawati 
Published: November 2024

Objective
To critically analyse literature on the anticancer properties of andrographolide in in vitro studies on gastric cancer cells.

Method
This study systematically reviewed articles from 2013 to 2024 across five prominent databases; PubMed, Google Scholar, Web of Science, Scopus, and Science Direct, EMBASE, Cochrane library and DOAJ. The study eligibility criteria include original studies assessing using gastric cancer cell lines and articles utilizing extracted andrographolide from Andrographis paniculata or standard andrographolide source treatment. The following exclusion criteria were articles written in a different language, review articles, book chapters, conference articles, scientific reports. Duplicated articles were removed using Mendeley software.

Result
Out of 93 articles, six were relevant, primarily focusing on in vitro analyses with gastric adenocarcinoma cell lines.

Conclusion
These studies indicate that andrographolide can hinder the cell cycle, suppress cell proliferation, alleviate oxidative stress, and induce apoptosis by prompting gastric cancer cells to undergo self-destruction, which is a crucial mechanism for controlling and eliminating cancerous growths.
Optimizing Emergency Response: Strategies Studies for Enhancing Hospital Management for Traffic Accident Victims
Authors: Purwoto Ady , Rachmani Enny , Isworo Slamet 
Published: November 2024

Background and Objectives: Traffic accidents are a major issue in Indonesia, requiring urgent attention, especially in terms of response time and accuracy in emergency care. With the high frequency of accidents each year, hospitals need to be equipped to provide prompt, high-quality treatment. This study aims to examine hospital management strategies in improving emergency response for traffic accident victims using a mixed-methods approach.
Methods: A systematic search was conducted across databases like Medline, PubMed, and Google Scholar using keywords such as 'Emergency Response Time, System Administration Complexity, Human Resource Limitations, and Inter-Unit Coordination. Seventeen relevant articles were identified.
Results: The study found that the average emergency response time was 7.3 minutes, exceeding the ideal 5-minute standard. Major factors contributing to delays included administrative system complexity (43%), human resource limitations (27%), and poor inter-unit coordination (30%). Challenges such as incomplete integration of the hospital information management system, high workload, especially during night shifts, and limited trauma-specific facilities were also identified. While triage processes met standards, bottlenecks in administration and support unit coordination caused delays. Emergency department staff demonstrated good competency (8.2/10), but the high nurse-to-patient ratio (1:8) impacted service quality. The survival rate for moderate to severe trauma cases was 89%, with better outcomes for patients treated within the golden hour.
Conclusion: Traffic accidents remain a critical concern in Indonesia, requiring improved emergency response systems. Hospitals must address issues in human resources, equipment, and coordination to enhance the speed and quality of emergency care, ultimately improving patient survival outcomes.
An Extremely Rare Case of Cardiac Hydatid Cyst Co-infected with Brevundimonas Nasdae: Diagnostic Challenges and Management
Authors: KADDARI Fatimazahrae , ELMASRIOUI Joumana , ARAFAOU Dicko , THIOMBIANO Abdoulaziz , MHIRIG Ibtissam , BOUCHTELLA Yassine , MARDOULI Mouhcine EL , SORAA Nabila , HOUATI Rachid EL , ELKARIMI Saloua , ELHATTAOUI Mustapha 
Published: November 2024

Cardiac hydatid cyst (HC) is a rare localisation of hydatidosis. The main preoperative diagnostic tools are serology, Transthoracic Echocardiography (TTE), Cardiac Tomography (CT) and Nuclear Magnetic Resonance Imaging (MRI). MRI is the key examination for diagnosing cardiac masses. It enables anatomical relationships to be studied and a reliable etiological orientation to be made. We report a challenging case of pericardial hydatid cyst associated to a rare infection to Brevundimonas nasdae clinically revealed by chronic dyspnea and atypical acute chest pain evolving in a febrile context. In our case, the HC presented as a cardiac mass, with an atypical appearance on echocardiography suggestive of a rhabdomyosarcoma. The MRI rectified the diagnosis, which was subsequently confirmed on operative finding, and on anatomo-pathological examination. The Patient was successfully managed after multidisciplinary treatment including combined surgical, antibiotics and antiparasitic treatments.
Implementing Inkjet‐Printed Transparent Conductive Electrodes in Solution‐Processed Organic Electronics
Authors: Hermerschmidt Felix , Choulis Stelios A. , List‐Kratochvil Emil J. W. 
Published: January 2019

AbstractThrough the use of solution‐based materials, the field of printed organic electronics has not only made new devices accessible, but also allows the process of manufacture to move toward a high throughput industrial scale. However, while solution‐based active layer materials in these systems have been studied quite intensely, the printed electrodes and specifically the transparent conductive anode have only relatively recently been investigated. In this progress report, the use of metal nanoparticles within printed organic electronic devices is highlighted, specifically their use as replacement of the commonly used indium tin oxide transparent conductive electrode within organic photovoltaics (OPVs) and organic light emitting diodes (OLEDs). A cross fertilization between the applications is expected since an OPV device is essentially an inversely operated OLED. This report aims to highlight the use of inkjet‐printed nanoparticles as cost‐effective electrodes for printed optoelectronic applications and discusses methods to improve the conductive and interfacial properties. Finally, in an outlook, the use of these types of metal nanoparticle inks to manipulate light management properties, such as outcoupling, in the device is investigated.
Energy‐Efficient Organic Ferroelectric Tunnel Junction Memristors for Neuromorphic Computing
Authors: Majumdar Sayani , Tan Hongwei , Qin Qi Hang , van Dijken Sebastiaan 
Published: January 2019

AbstractEnergy efficiency, parallel information processing, and unsupervised learning make the human brain a model computing system for unstructured data handling. Different types of oxide memristors can emulate synaptic functions in artificial neuromorphic circuits. However, their cycle‐to‐cycle variability or strict epitaxy requirements remain a challenge for applications in large‐scale neural networks. Here, solution‐processable ferroelectric tunnel junctions (FTJs) with P(VDF‐TrFE) copolymer barriers are reported showing analog memristive behavior with a broad range of accessible conductance states and low energy dissipation of 100 fJ for the onset of depression and 1 pJ for the onset of potentiation by resetting small tunneling currents on nanosecond timescales. Key synaptic functions like programmable synaptic weight, long‐ and short‐term potentiation and depression, paired‐pulse facilitation and depression, and Hebbian and anti‐Hebbian learning through spike shape and timing‐dependent plasticity are demonstrated. In combination with good switching endurance and reproducibility, these results offer a promising outlook on the use of organic FTJ memristors as building blocks in artificial neural networks.