bluuebunny/crossref_metadata_2025 huggingface dataset:
Kajian strategi pengembangan Ekowisata Batu Dinding di Tahura Bukit Soeharto
Authors: Wijaya Anang Adi , Matius Paulus , Aipassa Marlon Ivanhoe , Rujehan Rujehan , Sulistioadi Yohanes Budi
Published: January 2025

Penelitian ini dilatarbelakangi oleh adanya fenomena pada sektor pariwisata di Batu Dinding Tahura Bukit Soeharto. Hal ini disebabkan karena dengan adanya sektor pariwisata dapat mengembangkan atau menciptakan peluang lapangan kerja bagi masyarakat setempat. Dengan hal ini pemerintah sebagai pemangku kepentingan harus bisa bekerja sama dengan masyarakat setempat untuk menjaga dan membantu mengembangkan wisata di Batu Dinding Tahura Bukit Soeharto. Tujuan penelitian ini yaitu dapat mengetahui kondisi Batu Dinding yang berada di Tahura Bukit Soeharto, Dapat menjelaskan potensi pemanfaatan dan pengembangan Batu Dinding sebagai ekowisata, Dapat mengetahui presepsi masyarakat terhadap Batu Dinding sebagai ekowisata. Pendekatan penelitian yang digunakan adalah kualitatif dengan jenis penelitian deskriptif dan studi kasus. Hasil penelitian menunjukan bahwa ekowisata Batu Dinding Tahura Bukit Soeharto sangat menjanjikan dan menguntungkan bagi masyarakat yang bertempat tinggal di Kawasan Tahura Bukit Soeharto, namun. Pemerintah dan pengelola ekowisata Batu Dinding Tahura Bukit Soeharto harus bisa berupaya untuk melakukan pengembangan di beberapa area menuju ekowisata Batu Dinding Tahura Bukit Soeharto serta konsisten dalam memberikan fasilitas kepada pengunjung.
Evaluasi kesesuaian penggunaan lahan terhadap kualitas lingkungan di Kota Tarakan, Provinsi Kalimantan Utara (Studi kasus kawasan rawan bencana longsor di Kota Tarakan)
Authors: Natalia Ike Deasy , Widiyanto Widiyanto , Nurhasanah Nurhasanah
Published: January 2025

Dinamika pembangunan di Kota Tarakan berkembang cukup pesat karena tingginya pertumbuhan penduduk yang berdampak pada meningkatnya kebutuhan lahan sebagai tempat beraktivitas sedangkan ketersediaan lahan sangat terbatas. Penelitian ini bertujuan untuk mengevaluasi kesesuaian penggunaan lahan terhadap Rencana Tata Ruang Wilayah yang berpengaruh pada perubahan kualitas lingkungan di Kota Tarakan. Metode yang digunakan adalah deskriptif kuantitatif dengan menggambarkan data yang terkumpul secara sistematis mengenai kondisi atau fenomena tertentu berupa fakta-fakta, keadaan, sifat-sifat individu atau kelompok serta hubungan antara fenomena yang diteliti. Instrumen yang digunakan adalah dengan menggunakan teknik pengumpulan data spasial berupa peta dasar fisik, peta tematik dan peta rencana dengan bantuan analisis Sistem Informasi Geografis (SIG) yang bertujuan untuk dapat menggambarkan kondisi faktual di lapangan dan mengidentifikasi kesesuaian penggunaan lahan dengan kemampuan lahan dan juga Rencana Tata Ruang serta pengaruhnya terhadap perubahan kualitas lingkungan. Hasil analisis menunjukkan bahwa kesesuaian penggunaan lahan diklasifikasikan sesuai, sesuai bersyarat dan tidak sesuai yang dalam pemanfaatannya terindikasi berpengaruh terhadap perubahan kualitas lingkungan, baik dampak positif maupun dampak negatif.
ALIRAN FILSAFAT YANG MELEKAT PADA DIRI PENDIDIK KELAS XII TKJ 4 SMK KRISTEN PETRA SURABAYA
Authors: Andriyani Bernadeta Novi , Patriawan Desmas , Simanjutak Nensy Megawati
Published: January 2025

Filsafat menjadi landasan dalam memecahkan berbagai persoalan dalam pendidikan, seperti menentukan tujuan dari kurikulum, pendidikan, metode pembelajaran, dan lain-lain. Penelitian ini ditujukan untuk mengidentifikasi aliran filsafat yang melekat pada diri pendidik di kelas XII Teknik Komputer dan Jaringan (TKJ) 4. Penelitian ini merupakan penelitian metode kualitatif deskriptif. Teknik pengumpulan data melalui wawancara dan dokumentasi oleh sepuluh siswa dari kelas XII TKJ 4 yang ditentukan secara purposive sebagai narasumber. Hasil penelitian ini ditemukan bahwa aliran filsafat yang melekat pada diri pendidik kelas XII TKJ 4 SMK Kristen Petra tahun ajaran 2023/2024 yaitu aliran eksistensialisme. Penelitian ini penting untuk memberikan informasi berkaitan dengan aliran filsafat yang melekat pada diri pendidik di kelas XII TKJ 4 selaras dengan tujuan pendidikan yang diusung oleh SMK Kristen Petra Surabaya khususnya dalam mempersiapkan siswa dengan keterampilan sesuai dengan kebutuhan mereka dan tuntutan pasar kerja secara global.
Higher-Order Statistics in Signal Detection Tasks in Correlated Non-Gaussian Noise
Authors:   Cherkasy State Technological University, Palahin Volodymyr , Smirnov Daniil ,   Cherkasy State Technological University
Published: January 2025

Signal detection in noise is critical in telecommunications, navigation and radar systems, image processing and biomedical research, where noise often deviates from a normal distribution, and sample values exhibit statistical dependence. Traditional methods for analyzing and designing such systems face significant limitations, including algorithmic and computational complexity, severely restricting their practical application.
An effective approach to developing signal detection systems involves using moment and cumulant descriptions of random variables, simplifying the design of detection systems for signals with various probability density functions. The authors propose a novel approach based on one-dimensional (1D) and two-dimensional (2D) moment-cumulant models to describe correlated non-Gaussian processes. This approach enables the modification of the moment-based criterion for statistical hypothesis testing and synthesising polynomial stochastic decision rules for detecting signals in correlated non-Gaussian noise.
The study demonstrates that the nonlinear processing of sample values and the application of higher-order statistics to describe the investigated processes account for the structure of non-Gaussian noise and its statistical dependencies. This reduces the error probabilities of the synthesized decision rules compared to traditional Gaussian models.
The study aims to enhance the efficiency of signal detection systems under additive interaction with correlated non-Gaussian noise by developing new moment-cumulant models of the investigated processes, modifying the moment-based criterion for hypothesis testing, and designing polynomial decision rules. The study's practical significance lies in creating simple-to-implement algorithms with high accuracy that achieve lower error probabilities in decision rules compared to existing methods.
Control of Computational Processes Using Identification Methods in Natural Modeling
Authors:   Odesа Polytechnic National University, Polozhaenko Serhii , Saveliev Artem ,   Odesа Polytechnic National University, Prokofieva Ludmila ,   Odesа Polytechnic National University
Published: January 2025

The growth of requirements for modeling tools, as well as the volume of tasks solved by modeling methods, leads to the need to create productive modeling systems of a high technical level, which are complex and extensive complexes of functional elements, nodes and units that ensure the implementation of various stages of the modeling process. Thus, when developing, researching, synthesizing and assessing the quality of work of modern modeling tools, the latter should be considered as systems with their own theory, principles of construction, implementation features and areas of application. One of the natural, in modern conditions and promising directions for significantly raising the technical level of modeling tools is their intellectualization by implementing complex procedures using technical and software tools, which in principle can be achieved only on the basis of the widespread use of modern computer technology in modeling systems.
The features of the organization of the computational process of the class of full-scale simulators implemented on an analog-digital (hybrid) computer are considered. The effectiveness of using an analog processor as a dynamic model of an object in hybrid full-scale simulators is shown, which is due to high speed due to parallelization and non-algorithmic calculations during dynamics modeling. An approach to controlling the computational process in full-scale simulation is proposed, which is based on identification methods, and constructive expressions for evaluating the functioning of computational and control systems of hybrid full-scale simulators are obtained.
On Using Gssm in Power Systems Dynamics' Simulation
Authors:   Norwegian University of Science and Technology, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Verlan Andrii
Published: January 2025

A broad spectrum of aspects related to the feasibility, principles, and implementation of the generalized state-space model (GSSM) as a mathematical modeling technique for energy systems simulation has been considered. This paper reviews the use of GSSM to address the challenges of adequate modeling of dynamics of modern power systems’ dynamics, which are characterized by their hybrid nature, complex switching modes, and nonlinear interactions. The versatility of GSSM is analyzed in comparison to traditional approaches, particularly its capability to integrate continuous and discrete system dynamics into a unified advanced framework. Additionally, the model's ability to capture both linear and nonlinear regimes, its compatibility with contemporary computational tools, and its application across various power systems are discussed in detail. The fundamentals, analytical and numerical considerations of differential-algebraic equations (DAEs) are also examined. The effectiveness of GSSM is demonstrated through a case study involving simulation of a power supply control device dynamics. Computer modeling experiments highlight the advantages of GSSM over traditional methods in terms of accuracy, computational efficiency, and scalability. At the same time, they identify areas where further advancements and improvements are necessary.
Optimization of Neural Network Architecture with Regard to Data Augmentation
Authors:   Odesа Polytechnic National University, Fomin Oleksandr , Kanevskyy Vitaly ,   Odesа Polytechnic National University, Melnyk Dmytro ,   Odesа Polytechnic National University, Burbenko Andrii ,   Odesа Polytechnic National University
Published: January 2025

The paper is devoted to resolving the contradiction between increasing the model's resistance to interference and distortion and complicating the task of model training under conditions of limited computational resources. The aim of the work is to determine the architecture of nonlinear dynamics models under conditions of limited training data while ensuring a given modeling accuracy. This goal is achieved by developing a method for selecting the architecture of NAS neural networks. The scientific novelty of the work lies in the further development of the method of selecting the architecture of the NAS neural network for identifying nonlinear dynamic objects, taking into account the distortions of the training dataset by adding segmented data. In contrast to the traditional approach to pre-training, the developed method allows us to build more robust models while ensuring the required accuracy. The practical significance of the work is to develop an approach to adapting the architecture depending on the augmentation methods used by developing an algorithm for selecting the architecture of a NAS neural network taking into account data augmentation, which allows building more reliable models without losing modeling accuracy. The results of experiments on modeling test objects with nonlinear dynamic characteristics are presented, and the influence of data augmentation on the quality and stability of the obtained models is analyzed. The value of the study is to determine the area of effective use of the proposed method, as tasks with a lack of labeled data in the absence of strict requirements for the speed of the modeling process
Nonlinear pedagogy and its relevance for the new PE curriculum
Authors: Chow Jia Yi , Teo-Koh Sock Miang , Tan Clara Wee Keat , Button Chris , Tan Benjamin Su-Jim , Kapur Manu , Meerhoff Rens , Choo Corliss Zhi Yi
Published: January 2025

Increasingly, school teachers see the need to recognize the complex and dynamic interactions that occur between the individual, task and environmental constraints during learning. Nonlinear Pedagogy (NP), underpinned by Ecological Dynamics, provides a suitable pedagogical approach to encourage exploratory learning amongst children that is learner-centred and exploratory in nature. This approach is in contrast to a more traditional form of Linear Pedagogy (LP) that is teacher-centred and emphasises repetition in practices to promote movement form consistency in enhancing the acquisition of movement skills. Primarily, NP involves teachers identifying and manipulating constraints on learning to facilitate the emergence of goal-directed behaviours in children (Chow et al., 2016; Davids et al., 2008). Other key pedagogical principles relating to representativeness, awareness of focus of attention instructions, task simplification and the functional role of noise can help learners to develop 21st century competencies (Chow et al., 2016). Given growing concerns that physical inactivity could represent the biggest threat to global health in the 21st century, it is vital that children receive a high quality of education to develop their health and wellbeing.
Математичні основи криптографії: методичні вказівки (для бакалаврів галузі знань 12 «Інформаційні технології», спеціальності 125 «Кібербезпека та захист інформації» факультету кібербезпеки та інформаційних технологій) [Електронне видання]
Authors:   Національний університет «Одеська юридична академія», Ахмаметьева Г. В. , Баландіна Н. М.
Published: January 2025

Методичні вказівки з курсу «Математичні основи криптографії» розроблено відповідно до навчального плану, вони складаються з навчальної програми курсу, методичних рекомендацій із проведення практичних занять, питань для самоконтролю, завдань для самостійної роботи, переліку рекомендованих джерел. Вивчення дисципліни «Математичні основи криптографії» допоможе студентам розвинути навички застосування методів та засобів математичних основ криптографії та криптографічного аналізу, що застосовуються до захисту інформації в інформаційних системах.
NHANCING NETWORK SECURITY THROUGH INTEGRATED DEEP LEARNING ARCHITECTURES AND ATTENTION MECHANISMS
Authors: Ahmed Ahmed Abdullahi , Aliyu A. A. , Ibrahim M. , Abdulkadir S. , Ahmad M. A. , Tanko S. A. , Umaru I. A.
Published: January 2025

With the widespread integration of the Internet into our daily life, ensuring network security has become crucial for applications like online retail, auctions, and file processing. By examining network process logs, intrusion detection and classification are crucial for spotting threats. The issue of network infiltration is made worse by the increasing volume and complexity of contemporary network traffic data, making traditional intrusion prevention methods insufficient. Therefore, low false alarm rates and effective intrusion detection systems are essential. In order to increase efficacy and efficiency, the model uses Convolution Neural Network-Long Short Time Memory (CNN-LSTM) for feature extraction and classification. The attention mechanism is used to choose the most discriminative features. Metrics including accuracy, precision, recall, and the F1-score are used to assess the model's performance. These metrics reveal how well the model detects intrusions (true positives), prevents harmful traffic from being mistakenly labelled as normal (true negatives), and classifies data overall. About 99.9% accuracy is attained by the model, with a precision of 0.98, recall of 1.0, and F1-score of 0.99. These results reflect its ability to effectively identify both normal traffic and intrusion attempts. The high accuracy underscores the model’s strong performance in distinguishing malicious from benign activities. This work contributed to cybersecurity by presenting an innovative solution to intrusion detection challenges. It highlights the importance of balanced datasets and advanced deep learning architectures to improve detection capabilities. The results highlight how well the model can handle the intricacies of contemporary network security risks.
A BLOCKCHAIN-DRIVEN VAT COMPLIANCE MODEL USING HYPERLEDGER FABRIC AND MONTE CARLO SIMULATIONS
Authors: Mamman Joseph Ndagatsa , Abdullahi Muhammad Bashir , Alhassan John Kolo , Abisoye Opeyemi Aderike , Ojerinde Oluwaseun Adeniyi
Published: January 2025

This paper presents the development and evaluation of a VAT compliance model utilizing Hyperledger Fabric blockchain technology integrated with Monte Carlo simulations. The model aims to address the pervasive issue of VAT non-compliance by providing real-time monitoring and automated compliance checks. By simulating 10,000 VAT-related transactions under various compliance scenarios, the study assesses the model's performance in detecting both compliant and non-compliant transactions based on product registration and VAT rate application. The Monte Carlo simulations generate diverse transaction scenarios, while the blockchain provides a secure, immutable ledger for tracking each transaction's compliance status. The model is tested on a system simulating real-world conditions, focusing on key metrics such as transaction throughput, latency, accuracy, sensitivity, precision, and specificity. The results demonstrate that the model achieves 100% accuracy in identifying non-compliant transactions, with a transaction throughput of 1,200 transactions per second and an average latency of 0.83 milliseconds. This study highlights the potential of blockchain technology to revolutionize VAT administration by reducing non-compliance, enhancing transparency, and streamlining tax enforcement processes.
MODELLING STUDENTS’ ACADEMIC PERFORMANCE AND PROGRESS: A DISCRETE-TIME MARKOV CHAIN APPROACH
Authors: Yekeen Balikis Oluwakemi , Yakubu Yisa , Muhammad Nuratu
Published: January 2025

Predicting students' performance has become increasingly challenging due to the large volume of data in educational databases. Academic achievement reflects learning effectiveness and serves as a key indicator of teaching quality, institutional standards, and overall student development. Higher education systems operate hierarchically, with students progressing through academic levels annually or exiting as graduates or dropouts. Understanding and evaluating student progression is vital amidst evolving educational dynamics. This study models students’ academic performance and progression using a discrete-time Markov chain approach to predict future outcomes. Data on students’ enrollment and performance for five(5) sessions were collected from the Department of Statistics, Federal University of Technology, Minna. The Markov chain model was constructed for different academic levels and their absorbing states. Key metrics, including expected time spent at each level, absorption probabilities, and graduation or withdrawal likelihoods, were estimated. The findings show that 100-level entrants have an 80.5% chance of graduating and a 19.5% risk of withdrawal, with graduation likelihoods increasing with progression—reaching 99.4% at 500-level. The forecasts from the constructed Markov chain models showed that 100-level entrants are 99.4% likely to graduate after five sessions, 200-level entrants after three sessions, and 300-level entrants after one session. The study shows that while attrition rates are higher in the early stages, students advancing beyond the 200-level exhibit strong prospects for completion. These findings underscore the university’s effective programs and support systems, particularly in retaining and advancing students beyond the critical early stages.
HIERARCHICAL MODELS OF FISH ABUNDANCE AND OCCURRENCES IN SOUTHERN BASIN OF KAINJI LAKE NIGERIA
Authors: Umar M. T. , Adeyemi R. A. , Oguche S. M. , Muhammad N.
Published: January 2025

Fish abundance is directly linked to species diversity, indicating the importance of maintaining rich fish communities for ecosystem stability and productivity. The aim of the study is to fit hierarchical models to modelled fish abundance through the following objectives:  Evaluate fish abundance and occurrences using abundance formulae and their diversity index, fit hierarchical models, Investigate the variability of fish abundance and occurrences in different fishing locations and to identify the consequences of location specific management actions. Shannon weinner and Sampson diversity index reveals that Monai fishing location has the highest percentage of catch ranging to 30%. Cast net is found to be the most efficient method with highest count value of 1.9457, Poisson and negative binomial models reveal that, the locations have no significant difference and there is variability among fish catch over the years. Negative binomial reveals that Monai has the highest fish in abundance having the fish count value of 1.067 with a decrease in fish population by 7%. These results indicate significant variations in fish abundance and occurrence across the locations, years and methods. From the comparative regression and negative binomial model. Negative binomial model has the lowest log like hood of 7855874.07, with a deviance of 434.34. This infers that the negative binomial regression performs better than the Poisson regression in modelling fish abundance and occurrence. This study contributes valuable knowledge about dynamics of fish populations and basis for informed decision making in fisheries management and conservation.
Evaluating the Effectiveness of Machine Learning in Cyber Threat Detection
Authors: Khanza Aulia , Yulian Firdaus Dwi , Khairunnisa Novita , Yusuf Natasya Aprila , Nuche Asher
Published: January 2025

In today's digital era, cyber threats pose significant challenges to organizations, necessitating more advanced detection methods. This study aims to evaluate the effectiveness of machine learning (ML) techniques in detecting cyber threats, focusing on supervised, unsupervised, and reinforcement learning models. Using datasets such as CICIDS2017, the study trains models including Random Forest, Support Vector Machines (SVM), and Neural Networks. The evaluation is based on accuracy, precision, recall, and F1-score metrics. The results demonstrate that the Random Forest model outperforms others with an accuracy of 92.5\%, a precision of 91.8\%, and an F1-score of 92.4\%. This superior performance highlights its potential for real-time threat detection, as evidenced by a case study where the model effectively identified previously undetected cyber threats in a large technology company's network. However, the study also acknowledges challenges such as data quality and the need for continuous model updates. The findings suggest that integrating ML models into cybersecurity frameworks can significantly enhance threat detection efficiency. Future research should explore combining ML with traditional methods and improving model robustness against adversarial attacks to further advance cybersecurity measures.
Design of Scalable Architecture for Real-Time Parallel Computation of Long to Ultra-Long Real-Data DFTs
Authors:   Consultant Mathematician (Retired), Weymouth, Dorset, UK, Jones Keith
Published: January 2025

With the current trend in large scale, big data applications, there is an increasing need for the design and efficient implementation of
long to ultra-long Fourier-based transform algorithms, such as with fast Fourier transforms (FFTs) where the transform length varies
from long (of order one million) up to ultra-long (of order one billion). To address such problems, the paper shows how the applicability
of the scalable, memory-based architecture of the regularized fast Hartley transform (FHT) or RFHT – which has proved an attractive
alternative to the FFT for the computation of the discrete Fourier transform (DFT) for when the data is real-valued, as is the case with
many real-world applications – may be straightforwardly extended to enable the efficient parallel computation of long to ultra long
transforms to be achieved and maintained in a continuous real-time fashion. In order to implement such algorithms, however, when
using the memory-based architecture of the RFHT, a timing constraint (and hence transform size limitation) arising from the combined
effects of the update period and the I/O rate needs to be overcome and the formidable data and coefficient (or twiddle factor) memory
requirement minimized. With this in mind and with a processing element (PE) defined as comprising one complete RFHT module, it is
seen how the design of a scalable dual-PE architecture may be derived as a simple extension of the single - PE case – thus possessing
a number of attractive properties, as held by the RFHT, but not by pipelined real-data FFT implementations – this being achieved in
such a way that the transform size limitation is overcome and, when combined with the use of memory-efficient multi level look-up table
(LUT) techniques for the coefficient generation and storage, offers the ‘potential’ for achieving and maintaining the real - time parallel
computation of real-data transforms where the transform length may now range up to one billion. Two hypothetical implementations
are briefly discussed which illustrate how the dual-PE solutions for the computation of both the one and four million-point real-data
transforms may each be mapped onto a single commercially-available field programmable gate array (FPGA) device using only fast
on - chip random access memory (RAM) for the data and coefficient storage
Lan toả rủi ro đuôi của thị trường tiền điện tử
Authors: Ngô Thái Hưng , Nguyễn Khánh An
Published: January 2025

Nghiên cứu được thực hiện nhằm mục tiêu đánh giá hiệu ứng lan truyền rủi ro đuôi giữa tám loại tiền điện tử (Bitcoin, Ethereum, Tether, Binance, USD Coin, XRP, Dogecoin và Cardano) trong giai đoạn 2018 – 2024. Để làm rõ vấn đề này, nghiên cứu sử dụng mô hình rủi ro tự hồi quy có điều kiện (Conditional Autoregressive Value-at-Risk: CAViaR) do Engle & Mangenelli (2004) đề xuất để ước tính giá trị rủi ro đuôi bất đối xứng. Sau đó, mô hình chỉ số lan tỏa theo phân vị do Chatziantoniou & cộng sự (2021) đề xuất được sử dụng để xác định hiệu ứng lan truyền rủi ro đuôi dưới các điều kiện thị trường thay đổi (rủi ro cao, trung bình và thấp). Kết quả phân tích thực nghiệm cho thấy sự lan truyền rủi ro đuôi đáng kể tại thị trường tiền điện ảo trong điều kiện thị trường có rủi ro cao. Ngoài ra, vai trò nhận và lan truyền rủi ro đuôi của từng loại tiền điện ảo thay đổi rõ ràng theo từng giai đoạn cụ thể: (1) Trước COVID, (2) Trong COVID-19 và (3) Chiến tranh Nga–Ukraine. Kết quả là kênh thông tin quan trọng cho nhà đầu tư và nhà làm chính sách.
Pengembangan Klaster Industri Olahan Siput Gonggong Sebagai Upaya Penguatan Circular Economy Di Kabupaten Bintan
Authors: Dewanti Beauty Suestining Diyah , Suprayogi Suprayogi , Prihanto Asep Awaludin , Pranowo Dodyk , Tri Widayanti Vindhya , Septifani Riska , Gandhatyasri Rohmah Wendra , Linggar Rucitra Andan , Morita Ikasari Dhita
Published: January 2025

Siput gonggong merupakan slah satu komoditas yang diunggulkan di daerah Kabupaten Bintan, Kepulauan Riau. Pengabdian ini bertujuan meningkatkan nilai tambah dari daging siput gonggong dengan memanfaatkan daging siput gonggong menjadi berbagai inovasi produk makanan. Melalui pendekatan ekonomi sirkular, pada pengabdian ini akan mengolah daging siput gonggong menjadi bakso gonggong, nugget gonggong, dan juga sambal gonggong. Dengan pelatihan dan pendampingan, masyarakat di Desa Pengujan mampu memproduksi produk-produk secara mandiri dan menghasilkan produk yang berkualitas tinggi serta daya simpan yang panjang. Nantinya, pengabdian ini dapat meningkatkan pendapatan ekonomi masyarakat dan menciptakan klaster industri baru yang memiliki sifat berkelanjutan. Hasil kegiatan ini memberikan kontribusi dalam pengembangan olahan laut lokal, meningkatkan kesejahteraan masyarakat pesisir, dan juga membuka peluang pasar yang lebih luas.
Akuaponik Sebagai Media Pembelajaran Kewirausahaan Berwawasan Lingkungan Di SMKN 5 Malang
Authors: Nurdewanto Bambang , Zubair Anis , Hidayati Rahmatina , Yuliati Ninik Catur Endah , Prihatiningsih Bekti , Sonalitha Elta , Adha Muhammad Nibras , Wulandari Fadila
Published: January 2025

Permasalahan lingkungan yang semakin kompleks mendorong perlunya pendidikan yang mengintegrasikan teori dan praktik berkelanjutan. Penelitian ini bertujuan untuk membuat kajian pengaruh penerapan sistem akuaponik sebagai media pembelajaran kewirausahaan berkelanjutan pada siswa SMKN 5 Malang. Metode penelitian yang digunakan adalah deskriptif kualitatif dengan populasi siswa SMKN 5 Malang yang mengikuti program akuaponik. Teknik pengumpulan data dilakukan melalui observasi, wawancara, dan dokumentasi. Hasil kegiatan menunjukkan bahwa penerapan akuaponik memberikan dampak positif pada pengembangan keterampilan teknis, kreativitas, dan jiwa kewirausahaan siswa. Siswa mampu menghasilkan produk yang bernilai ekonomis dan memiliki kesadaran yang tinggi terhadap pentingnya kelestarian lingkungan. Disimpulkan bahwa akuaponik merupakan media pembelajaran yang efektif untuk membentuk generasi muda yang inovatif dan mampu berkontribusi dalam pembangunan berkelanjutan. Sebagai rekomendasi, perlu adanya perluasan program akuaponik di sekolah-sekolah lain dan dukungan dari berbagai pihak untuk pengembangan usaha sosial berbasis akuaponik.
Pemberdayaan Industri Rumahan Ikan Asap Berbasis Higienitas Melalui Penerapan Sertifikasi Halal Untuk Meningkatkan Daya Saing Produk Bisnis Yang Sustainable Di Desa Penatarsewu
Authors: Siswati Endang , Abady Chusnul , Imamah Nurul , Maharani Firelia Azarine , Setianingtias Annia Ayu
Published: January 2025

Persaingan yang ketat membuat industri rumahan ikan asap di Desa Penatarsewu, Kecamatan Tanggulangin harus meningkatkan daya saingnya agar usahanya sustainable. Tujuan pelaksanaan kegiatan pengabdian kepada masyarakat ini yaitu untuk meningkatkan daya saing produk hasil industri rumahan ikan asap. Kegiatan ini fokus pada produksi makanan secara higienis melalui penerapan sertifikasi halal. Pemahanam pelaku industri ikan asap mengenai kebersihan produk, legalitas usaha dalam hal ini Nomor Induk Berusaha (NIB) dan sertifikat halal masih kurang. Melalui metode sosialisasi, pelatihan dan pendampingan mengenai proses produksi yang higienis, pelatihan dan pendampingan teknik pengajuan NIB, pelatihan dan pendampingan cara memperoleh sertifikat halal, serta persiapan-persiapan dalam memengajukan sertifikat halal, diharapkan akan terjadi perubahan dan peningkatan daya saing produk yang akhirnya dapat memberikan kontribusi positif. Hasil program kegiatan ini yaitu pelaku industri rumahan ikan asap memahami pentingnya higienitas dalam proses produksi ikan asap supaya produk bersih dan aman untuk dikonsumsi, serta memahami pentingnya NIB dan produk bersih yang bersertifikat halal agar usaha dapat bertahan dalam jangka panjang, hal ini dibuktikan dengan antusiasme peserta dalam mengikuti pelatihan dan pendampingan serta mengajukan sertifikasi halal.
Mitochondrial Peroxiredoxins and Monoamine Oxidase-A: Dynamic Regulators of ROS Signaling in Cardioprotection
Authors: Ferko M , Alanova P , Janko D , Opletalova B , Andelova N
Published: January 2025

An excessive increase in reactive oxygen species (ROS) levels is one of the main causes of mitochondrial dysfunction. However, when ROS levels are maintained in balance with antioxidant mechanisms, ROS fulfill the role of signaling molecules and modulate various physiological processes. Recent advances in mitochondrial bioenergetics research have revealed a significant interplay between mitochondrial peroxiredoxins (PRDXs) and monoamine oxidase-A (MAO-A) in regulating ROS levels. Both proteins are associated with hydrogen peroxide (H2O2), MAO-A as a producer and PRDXs as the primary antioxidant scavengers of H2O2. This review focuses on the currently available knowledge on the function of these proteins and their interaction, highlighting their importance in regulating oxidative damage, apoptosis, and metabolic adaptation in the heart. PRDXs not only scavenge excess H2O2, but also act as regulatory proteins, play an active role in redox signaling, and maintain mitochondrial membrane integrity. Overexpression of MAO-A is associated with increased oxidative damage, leading to mitochondrial dysfunction and subsequent progression of cardiovascular diseases (CVD), including ischemia/reperfusion injury and heart failure. Considering the central role of oxidative damage in the pathogenesis of many CVD, targeting PRDXs activation and MAO-A inhibition may offer new therapeutic strategies aimed at improving cardiac function under conditions of pathological load related to oxidative damage.
MODAL PSIKOLOGIS DAN KEPRIBADIAN PROAKTIF TERHADAP PERILAKU KERJA INOVATIF PADA KARYAWAN
Authors: Dewi Dinda Puspita , Prestiana Novita Dian Iva , Setiawan Rony
Published: January 2025

This study aims to determine the relationship between psychological capital and innovative work behavior and proactive personality with innovative work behavior, as well as the influence of psychological capital and proactive personality on innovative work behavior. This research is a research with non-experimental quantitative methods. The subjects of this study were 51 employees from PT. Cahaya Citra Indah is a company engaged in the property sector. This research uses population studies because the total population is below 100. The data collection method in this study uses interviews and a psychological measurement scale. The research instrument used was a psychologicalcapital scale with an Alpha Cornbach reliability value of 0.937, a proactive personalityscale with an Alpha Cornbach reliability value of 0.934, and an innovative work behavior scale withan Alpha Cornbach reliability value of 0.887. The data analysis technique uses the Rank Spearman correlation test and the Multiple Linear Regression test. This study found that psychological capital with innovative work behavior has a positive relationship that is equal to 0.887 and, proactive personality with innovative work behavior has a positive relationship that is equal to 0.852. Then there is the influence of psychological capital and proactive personality on innovative work behaviorwith an R squared value of 0.841 or 84.1%
KEPERCAYAAN DIRI DAN PERILAKU DIET TERHADAP BODY DISSATISFACTION PADA ANGGOTA AEROBIK
Authors: Azzahra Virginian Fatima , Muslimah Alfiana Indah , Ekasari Agustina
Published: January 2025

This research aims to determine body dissatisfaction which is influenced by self confidence and diet behavior. This research is quantitative research with a research design using correlation research and multiple linear regression. The research subjects were 86 respondents who were members of aerobics at Aeromix Studio Ayu Bekasi using a simple random sampling technique. Data collection in this research used psychological scales and interviews. The instruments used were psychological scales consisting of the Body Shape Questionnaire (BSQ-34) scale from Cooper, Taylor, Cooper and Fairbum (1987), a self-confidence scale and a diet behavior scale. The instrument reliability test using the Cronbach's Alpha formula produced a ralpha value = 0.969 for the body dissatisfaction scale, a ralpha value = 0.888 for the self confidence scale and a ralpha value = 0.783 for the diet behavior scale. Data analysis in this study used the Spearman rank correlation technique and multiple linear regression tests to test the hypothesis. The results of research between the variables of self-confidence and dietary behavior on body dissatisfaction show an F value of 17.155 with the results of the significance test showing a value of 0.000 (Sig, ≤ 0.05). Self confidence and diet behavior simultaneously influence body dissatisfaction by 29.2%, while 70.8% is influenced by other variables not examined in this study.
Prolonged Premature Preterm Rupture of Membranes: A Successful Case from The Dominican Republic
Authors: Dorame Megan , Sheikh Rahina
Published: January 2025

Preterm premature rupture of the membranes (PPROM) impacts 5–7% of all pregnancies. A pregnancy is considered previable, the fetus having a low chance of surviving before 22 weeks of gestation. Preterm birth is the leading cause of neonatal mortality. PPROM is associated with health complications for the neonates and mothers. Some of the neonatal morbidities include respiratory distress syndrome, infection, pulmonary hypoplasia, and sepsis. Some of the maternal complications are chorioamnionitis, endometritis, and placental abruption. This case study describes a clinical case from the Dominican Republic where there was a PPROM that occurred at 16 weeks of gestation. Furthermore, the latency period from the initial rupture to preterm birth was approximately 18 weeks, which is longer than the average latency period. Despite these complications, the patient successfully gave birth at 33.6 weeks to a relatively healthy baby.
ENVIRONMENTAL INFLUENCES ON WARPING AND CURLING OF PCC PAVEMENT
Authors: Fang Yingwu
Published: January 2025

This research was conducted to analyze the influence of moisture content in concrete pavement slabs on warping and curling of Portland Cement Concrete (PCC) pavement. To do this, temperature and deflection data measured in an instrumented test runway pavement at the Denver International Airport [1-3] was used. Variation in temperature gradient over the slab thickness was computed and plotted against time, for both the summer and the winter. Deflections of the PCC slabs and the base layer were compared to identify gaps between the two layers caused by slab warping and curling. It has been found that such gaps physically exist and that the magnitude of the gaps varies with time as temperature gradient does. The gap magnitude at various locations within the slabs, together with the temperature gradient, was plotted on the same time scale. This has made it possible to quantify the influence of moisture gradient in the equivalency of temperature gradient on slab warping. As expected, the equivalent temperature gradient of moisture content also varies with time and is dependent on the day of the year and the hour of the day. Based on the available data, this value varies in the neighborhood of 0.10 to 0.27 ( oC/cm), which is about half of the maximum positive temperature gradient (when the bottom of the slab has a lower temperature than the top of the slab) in the summer and close to the maximum positive temperature gradient in the winter. The analysis has also proved the fact that the existence of moisture gradient strengthens the effect of negative temperature gradient (when the bottom of the slab has a higher temperature than the top of the slab), but weakens the effect of positive temperature gradient.
A TEMPERATURE AND MOISTURE MODULE FOR HYDRATING PORTLAND CEMENT CONCRETE PAVEMENTS
Authors: Jeong Jin-Hoon , Wang Ligang , Zollinger Dan G.
Published: January 2025

A computer based temperature and moisture analysis module has been recently developed at the Texas Transportation Institute referred to as Temperature and Moisture Analysis for Curing Concrete (TMAC2 ). This module produces the moisture and temperature profiles and accounts for the interaction between them at any points in a hydrating concrete slab as a function of time and ambient boundary conditions. These profiles, which are transient in nature and determined as a function of curing methodology and material characteristics, can be easily transmitted to analytical software for stress and deformation evaluation. A special test slab was constructed and carefully instrumented for temperature and relative humidity monitoring to collect specific data for program verification purposes. Deflection data collected from the test slab were compared to the results from Westergaard type solution for corner displacement to show potential for pavement design application under a board set of condition depicted by temperature and moisture gradient prediction from the TMAC2 software. This paper presents the details of the development of TMAC2 , verification of the analysis module, and examples of the effects of combinations of climatic, construction, and material factors on profile development. Details of the test slab and the instrumentation are also presented.
MEASUREMENT AND ANALYSIS OF SLAB CURVATURE IN JPC PAVEMENTS USING PROFILING TECHNOLOGY
Authors: Sixbey Dennis , Swanlund Mark , Gagarin Nicolas , Mekemson James R.
Published: January 2025

The feasibility of measuring slab-curvature using a non-contact, high-speed profiler system was assessed by the Pavement Surface Analysis Laboratory (PSAL) of Turner-Fairbank Highway Research Center of the Federal Highway Administration (FHWA). The primary objectives of the pilot study were to (1) measure the curvature of the concrete slabs using existing profiling technology, (2) establish a standard procedure to identify warp and curl from profiler data, (3) quantify the change in curvature due to temperature changes, (4) determine the sampling interval required to measure curvature, (5) determine the relationship between curvature and roughness measurements, and (6) relate curvature data to premature transverse pavement cracking and construction conditions. The PSAL research profiler was used in the survey of 104 lane-km of interstate highway in a period of 24 hours. A single pass of 26 km in each lane was collected during four windows of two hours. The time windows were 4-6am, 6-8am, 11am-1pm, and 6- 8pm. The authors will present the results of the analysis of the data, including curvature and roughness, with the effect of temperature on these parameters and relationship of curvature to transverse cracking performance.
SORPTIVITY-BASED SERVICE LIFE PREDICTIONS FOR CONCRETE PAVEMENTS
Authors: Bentz Dale P. , Ehlen Mark A. , Ferraris Chiara F. , Garboczi Edward J.
Published: January 2025

The degradation of concrete pavements is often controlled by the transport of a deleterious species (chloride or sulfate ions, or water in the case of freeze/thaw) into the concrete. With this in mind, a three-year research project, funded by the Federal Highway Administration, has culminated in the development of sorptivity-based service life models for concrete pavements and bridge decks. To develop a service life model, one needs to identify and model the suspected degradation mechanism, develop laboratory tests to evaluate the critical material properties, and adequately characterize the exposure environment. For this project, degradation mechanisms for sulfate attack (ettringite-induced expansion) and freeze/thaw degradation (critical saturation of the air void system) have been postulated. To evaluate sorptivity, a laboratory-based testing protocol for conditioning and assessing the sorption properties of field concrete cores has been developed and submitted to ASTM committee C09 for standardization. To characterize the exposure environment, a one-dimensional finite difference computer model which utilizes typical meteorological year weather data supplied by the National Renewable Energy Laboratory has been developed to predict the concrete pavement surface temperature and time-of-wetness history for a wide variety of geographical locations throughout the United States. Finally, these methods and computational tools have been integrated into a computer software package, CONCLIFE, which provides sorptivity-based service life predictions.
IDENTIFYING COMBINATIONS OF MATERIALS THAT LEAD TO PREMATURE DETERIORATION IN CONCRETE PAVEMENTS
Authors: Detwiler Rachel J. , Nagi Mohamad A. , Bhattacharja Sankar
Published: January 2025

Premature deterioration of concrete pavements can result from incompatible combinations of materials that were individually acceptable. The likelihood of problems due to incompatibility increases with the complexity of the mix design: the more ingredients, the greater the chance of an undesirable interaction. On some jobs it may be necessary to substitute one ingredient for another during the course of the job, often on short notice. Standard specifications for cementitious materials are broad enough to allow for significant differences between two sources. Thus materials should not be substituted for one another without appropriate testing. This paper provides a review of the literature on incompatibility of concrete materials, supplemented by a survey of selected highway officials and paving contractors. Particular emphasis is placed on early stiffening of fresh concrete, early cracking of hardened concrete, and inadequate air-void systems.
A NEW APPROACH TO ESTIMATE THE IN-SITU THERMAL COEFFICIENT AND DRYING SHRINKAGE FOR JOINTED CONCRETE PAVEMENT
Authors: Burnham Tom , Koubaa Amir
Published: January 2025

The current development of mechanistic-empirical pavement design methods will necessitate the need for more accurate and realistic material property input values. The Mn/ROAD project was developed and constructed to aid in the determination of those values for pavements in cold climate regions. Utilizing the first 7 years of in-situ strain and temperature data from the Mn/ROAD project, a new approach has been developed for determining the in-situ coefficient of thermal expansion and drying shrinkage of jointed concrete pavements. Correlation analysis between strain and temperature data from embedded vibrating wire strain sensors was performed for six Mn/ROAD concrete pavement test cells. The monthly variation of the in-situ coefficient of thermal expansion was found using the slope between temperature and strain data. The yearly variation in the drying shrinkage was estimated using the intercept from the temperature and strain data. The analysis concluded that the range of in-situ thermal coefficient values is similar to laboratory values reported in the literature for temperatures between –3 and 23o C, and when the concrete moisture content is not high. There was found to be a reduction in the slab strain, equivalent to 8 με/ o C, caused by the effect of slab restraint stresses in the spring and summer seasons. A reduction in the slab restraint effect caused by drying shrinkage as the pavement ages was observed. The joint closure temperature varies seasonally and is significantly affected by the moisture content and temperature of the pavement slab. Utilizing this new approach will enable researchers to better understand the seasonal and age related behavior of the coefficient of expansion and drying shrinkage values for jointed concrete pavements.
Performance of Arizona’s SPS-4 Joint Sealing Experiment
Authors: Hall Kathleen T. , Evans Lynn D. , Crovetti James A. , Correa Carlos E. , Scofield Larry
Published: January 2025

Currently, nearly all state highway agencies require sealing of transverse joints in jointed plain concrete pavement (JPCP). Joint sealing is estimated to increase initial construction costs by approximately 2 to 7 percent. Periodic resealing of joints also increases the costs of these pavements. Sealed joints are commonly believed to be beneficial to concrete pavement performance in two ways: in reducing infiltration of water into the pavement structure, and in reducing infiltration of incompressibles into the joints. However, despite the conventional wisdom concerning the need to keep transverse joints in concrete pavements well sealed, previous studies on the subject have not demonstrated that JPCP with sealed joints and JPCP with unsealed joints perform differently in terms of spalling, faulting, roughness, or deflections. Arizona is one of four states that has built and monitored experimental concrete pavement test sections with sealed and unsealed joints as supplements to the LTPP SPS-4 experiment. The supplemental experiments in three of these states differ from the other SPS-4 sites in that the pavements were constructed for the experiment, and incorporate a variety of joint sealant types and joint configurations, as well as narrow unsealed joints. The performance of the concrete pavement test sections and the joint sealants at the Arizona SPS-4 site has been monitored since the pavement’s construction in 1991. This monitoring has included deflection testing, distress surveying, profile measurement, test section length measurement, joint width measurement, and joint sealant condition evaluation. This paper presents the findings from nine years of monitoring of the performance of the pavements and joint sealants at the Arizona SPS-4 site.