bluuebunny/crossref_metadata_2025 huggingface dataset:
Information-Theoretical Analysis of the Cycle of Creation of Knowledge and Meaning in Brains under Multiple Cognitive Modalities
Authors: Davis Joshua J. J. , Schübeler Florian , Kozma Robert
Published: March 2024

It is of great interest to develop advanced sensory technologies allowing non-invasive monitoring of neural correlates of cognitive processing in people performing everyday tasks. A lot of progress has been reported in recent years in this research area using scalp EEG arrays, but the high level of noise in the electrode signals poses a lot of challenges. This study presents results of detailed statistical analysis of experimental data on the cycle of creation of knowledge and meaning in human brains under multiple cognitive modalities. We measure brain dynamics using a HydroCel Geodesic Sensor Net, 128-electrode dense-array electroencephalography (EEG). We compute a pragmatic information (PI) index derived from analytic amplitude and phase, by Hilbert transforming the EEG signals of 20 participants in six modalities, which combine various audiovisual stimuli, leading to different mental states, including relaxed and cognitively engaged conditions. We derive several relevant measures to classify different brain states based on the PI indices. We demonstrate significant differences between engaged brain states that require sensory information processing to create meaning and knowledge for intentional action, and relaxed-meditative brain states with less demand on psychophysiological resources. We also point out that different kinds of meanings may lead to different brain dynamics and behavioral responses.
Enhancing Infrared Optical Flow Network Computation through RGB-IR Cross-Modal Image Generation
Authors: Huang Feng , Huang Wei , Wu Xianyu
Published: March 2024

Due to the complexity of real optical flow capture, the existing research still has not performed real optical flow capture of infrared (IR) images with the production of an optical flow based on IR images, which makes the research and application of deep learning-based optical flow computation limited to the field of RGB images only. Therefore, in this paper, we propose a method to produce an optical flow dataset of IR images. We utilize the RGB-IR cross-modal image transformation network to rationally transform existing RGB image optical flow datasets. The RGB-IR cross-modal image transformation is based on the improved Pix2Pix implementation, and in the experiments, the network is validated and evaluated using the RGB-IR aligned bimodal dataset M3FD. Then, RGB-IR cross-modal transformation is performed on the existing RGB optical flow dataset KITTI, and the optical flow computation network is trained using the IR images generated by the transformation. Finally, the computational results of the optical flow computation network before and after training are analyzed based on the RGB-IR aligned bimodal data.
Temporal Stability of Management Zone Patterns: Case Study with Contact and Non-Contact Soil Electrical Conductivity Sensors in Dryland Pastures
Authors: Serrano João , Shahidian Shakib , Marques da Silva José , Paniágua Luís L. , Rebollo Francisco J. , Moral Francisco J.
Published: March 2024

Precision agriculture (PA) intends to validate technological tools that capture soil and crop spatial variability, which constitute the basis for the establishment of differentiated management zones (MZs). Soil apparent electrical conductivity (ECa) sensors are commonly used to survey soil spatial variability. It is essential for surveys to have temporal stability to ensure correct medium- and long-term decisions. The aim of this study was to assess the temporal stability of MZ patterns using different types of ECa sensors, namely an ECa contact-type sensor (Veris 2000 XA, Veris Technologies, Salina, KS, USA) and an electromagnetic induction sensor (EM-38, Geonics Ltd., Mississauga, ON, Canada). These sensors were used in four fields of dryland pastures in the Alentejo region of Portugal. The first survey was carried out in October 2018, and the second was carried out in September 2020. Data processing involved synchronizing the geographic coordinates obtained using the two types of sensors in each location and establishing MZs based on a geostatistical analysis of elevation and ECa data. Although the basic technologies have different principles (contact versus non-contact sensors), the surveys were carried out at different soil moisture conditions and were temporarily separated (about 2 years); the ECa measurements showed statistically significant correlations in all experimental fields (correlation coefficients between 0.449 and 0.618), which were reflected in the spatially stable patterns of the MZ maps (averaging 52% of the total area across the four experimental fields). These results provide perspectives for future developments, which will need to occur in the creation of algorithms that allow the spatial variability and temporal stability of ECa to be validated through smart soil sampling and analysis to generate recommendations for sustained soil amendment or fertilization.
Voice Synthesis Improvement by Machine Learning of Natural Prosody
Authors: Kane Joseph , Johnstone Michael N. , Szewczyk Patryk
Published: March 2024

Since the advent of modern computing, researchers have striven to make the human–computer interface (HCI) as seamless as possible. Progress has been made on various fronts, e.g., the desktop metaphor (interface design) and natural language processing (input). One area receiving attention recently is voice activation and its corollary, computer-generated speech. Despite decades of research and development, most computer-generated voices remain easily identifiable as non-human. Prosody in speech has two primary components—intonation and rhythm—both often lacking in computer-generated voices. This research aims to enhance computer-generated text-to-speech algorithms by incorporating melodic and prosodic elements of human speech. This study explores a novel approach to add prosody by using machine learning, specifically an LSTM neural network, to add paralinguistic elements to a recorded or generated voice. The aim is to increase the realism of computer-generated text-to-speech algorithms, to enhance electronic reading applications, and improved artificial voices for those in need of artificial assistance to speak. A computer that is able to also convey meaning with a spoken audible announcement will also improve human-to-computer interactions. Applications for the use of such an algorithm may include improving high-definition audio codecs for telephony, renewing old recordings, and lowering barriers to the utilization of computing. This research deployed a prototype modular platform for digital speech improvement by analyzing and generalizing algorithms into a modular system through laboratory experiments to optimize combinations and performance in edge cases. The results were encouraging, with the LSTM-based encoder able to produce realistic speech. Further work will involve optimizing the algorithm and comparing its performance against other approaches.
A Versatile Board for Event-Driven Data Acquisition
Authors: Manduchi Gabriele , Rigoni Andrea , Trevisan Luca , Patton Tommaso
Published: March 2024

Event-driven data acquisition is used to capture information from fast transient phenomena typically requiring a high sampling speed. This is an important requirement in the ITER Neutral Beam Test Facility for the development of one of the heating systems of the ITER nuclear fusion experiment. The Red Pitaya board has been chosen for this project because of its versatility and low cost. Versatility is provided by the hosted Zynq System on Chip (SoC), which allows full configuration of the module architecture and the OpenSource architecture of Red Pitaya. Price is an important factor, because the boards are installed in a hostile environment where devices can be damaged by EMI and radiation. A flexible solution for event-driven data acquisition has been developed in the Zynq SoC and interfaced to the Linux-based embedded ARM processor. It has been successfully adopted in a variety of data acquisition applications in the test facility.
Reasonable Hopes and Little Progress!
Authors: Cace Sorin , Stănescu Nina , Cace Corina
Published: March 2024

In this article, we aim to describe how the Operational Programme for the Support of Disadvantaged People (POAD), part of the European Fund for the Most Disadvantaged People (FEAD), has contributed to reducing the number of people at risk of poverty and social exclusion in Romania. We highlight the role of the auxiliary measures that accompanied the food support programme, as well as the added-value element of the implementation of the programme in Romania, emphasising the introduction of electronic social vouchers for hot meals for the eligible target group and electronic social vouchers to provide educational support for disadvantaged children. The research methodology used considered combinations of quantitative and qualitative methods, combining multiple data sources to reflect the perspectives of all stakeholders and relating quantitative data to representative samples using a participatory approach. Macro-level data on risk-of-poverty and social exclusion indicators, as well as information from sectoral analyses (social transfers), show an improvement in the situation of people in the POAD target group and a decrease in the number of people at risk of poverty and social exclusion. However, progress is limited, and it is difficult to determine the degree to which this is due to the POAD. Romania still ranks lowest in the European Union in terms of indicators measuring the risk of poverty and social exclusion. The provision and monitoring of accompanying programmes are an area where the potential of POAD could be further exploited. The need to strengthen the accompanying measures is extraordinarily strong and emerges from the analysis of information provided by final beneficiaries and public authorities responsible for the implementation of the programme. The distribution of social vouchers enables final beneficiaries to choose the goods they need. Purchases with social vouchers are less affected by the risks of financial corrections, final beneficiaries can monitor the consumption of the support received in real time, the number of supporting documents is reduced, and reimbursement is issued only for the amounts used by final beneficiaries.
Can the Circular Economy Unlock Sustainable Business Growth? Insights from Qualitative Research with Specialists in Romania
Authors: Mocanu Ana Alexandra , Brătucu Gabriel , Ciobanu Eliza , Chițu Ioana Bianca , Szakal Anita Cornelia
Published: March 2024

Concern for sustainable development and environmental protection has become increasingly important in the business world in recent decades. Looking for business professionals who are currently implementing sustainable development practices and the principles of the circular economy might be the most meaningful approach to the time and the space we are all heading towards in the future. This study seeks to identify the motivations, obstacles, strategies, and perspectives of specialists in the integration of the circular and sustainable economy model in businesses in the Romanian context. It focuses on providing a solid basis for promoting sustainable practices and policies in the business environment, considering theoretical elements and the perspectives and experiences of specialists. In our research, qualitative in-depth interviews were conducted among diverse specialists in Romanian businesses to gain insight. The research findings indicate consistent requests for consumer education and involvement in the circular economy process and for political support and funding sources for investments in assistive technologies. This article presents viewpoints from Romanian experts, entrepreneurs, and business decision-makers on the circular economy and sustainability. Decision-makers prioritize developing and promoting sustainable products and services, emphasizing the use of recycled materials, and using renewable energy for their activities. The presented results highlight the situation in Romania and implicitly make a significant contribution to the scientific knowledge in this field. Although the study’s qualitative nature limits its generalizability, it offers valuable insights and suggests potential directions for future research on aspects related to the circular economy and sustainability.
An Index Model for the Evaluation of the Performance of Lock Navigation Scheduling Rules Considering the Perspective of Stakeholders
Authors: Li Rong , Liu Qing , Wang Lei
Published: March 2024

The lock navigation scheduling problem involves multiple stakeholder groups. The game relationship between stakeholders directly affects the sustainable development of regional society and economy. Considering the objectivity and accuracy of social network analysis (SNA) for relationship identification, indicator screening, and system construction, it completes the stakeholder extraction and evaluation index system construction. Considering that the conditional probability of nodes in Bayesian networks (BN) can flexibly and intuitively characterize the direction and strength of the factors’ roles in a complex scenario, this study proposes an index model for the evaluation of the performance of lock navigation scheduling rules. Firstly, build the BN topology under the efficiency, safety, and fairness criteria. Subsequently, an improved composite index method is combined with the BN to determine the evaluation index from the stakeholder perspective. This study takes the Three Gorges locks maintenance scenario as an example. The index evaluation model can accurately identify the direction, trend, and magnitude of the performance of the scheduling rules on the efficiency, safety, and fairness criteria under navigational constraints, realizing the dynamic and quantitative evaluation of the performance of lock navigation scheduling rules during the observation period.
Source-Grid-Load Cross-Area Coordinated Optimization Model Based on IGDT and Wind-Photovoltaic-Photothermal System
Authors: Xu Yilin , Hu Zeping
Published: March 2024

A source-grid-load cross-area coordinated optimal dispatch model based on IGDT and a wind-photovoltaic-photothermal system is suggested to handle the problem of renewable energy consumption under large-scale wind power and photovoltaic grid connections. Firstly, the peak flexibility of a wind-photovoltaic-photothermal co-generation system is investigated to improve the utilization rate of wind and solar resources. To increase the model’s efficiency and accuracy, the alternating direction multiplier method (ADMM) is used. Finally, arithmetic examples are utilized to examine and contrast how the system dispatch cost changed under risk-averse and risk-seeking strategies. It also examines how the installed ratio of concentrated solar power plants affects the overall cost of the system. The findings demonstrate that the suggested model may achieve a coordinated optimization of the source, grid and load while lowering system operation costs.
Causes of Hospitalizations in Pediatric Patients with Thalassemia under the National Health Coverage Scheme in Thailand
Authors: Charoenkwan Pimlak , Komvilaisak Patcharee , Thepsuthummarat Kaewjai , Seksarn Panya , Torcharus Kitti
Published: March 2024

Thalassemia is a hereditary hemolytic anemia that is prevalent in Southeast Asia. The primary treatment for severe thalassemia involves red cell transfusion, iron chelation, and the treatment of long-term complications, leading to frequent hospital visits and admissions. This study aims to delineate the causes and characteristics of hospital admissions among thalassemia patients under the National Health Coverage (NHC) scheme in Thailand. This cross-sectional analysis (2015–2019), conducted using the National Health Security Office database, identified 336,054 admissions among 41,237 patients, with alpha-thalassemia at 12.5%, beta-thalassemia at 61.5%, other thalassemia at 0.5%, and unclassified thalassemia at 25.5%. The overall admission rate was 3.74 per 100 NHC admissions in the pediatric age group. Infections predominated in younger patients, whereas cardiac complications, diabetes mellitus, and cholecystitis/cholelithiasis were more common in older patients. Hospital admissions for cardiac complications and diabetes mellitus in pediatric patients with thalassemia decreased over the study period. The annual hospital admission cost ranged from 8.19 to 12.01 million US dollars, with one-third attributed to iron chelation. In summary, thalassemia poses a significant healthcare challenge in Thai children, characterized by high admission rates and costs. While infections predominate in younger patients, cardiac complications and diabetes mellitus are more common in older individuals. The diminishing admissions for these complications suggest the successful implementation of iron chelation medications.
First-Order Event Plane Correlated Directed and Triangular Flow from Fixed-Target Energies at RHIC-STAR
Authors: Sharma Sharang Rav
Published: March 2024

We report the measurement of first-order event plane-correlated directed flow (v1) and triangular flow (v3) for identified hadrons (π±, K±, and p), net particle (net-K, net-p), and light nuclei (d and t) in Au + Au collisions at sNN = 3.2, 3.5, and 3.9 GeV in the fixed-target mode from the second phase of the beam energy scan (BES-II) program at RHIC-STAR. The v1 slopes at mid-rapidity for identified hadrons and net particles except π+ are found to be positive, implying the effect of dominant repulsive baryonic interactions. The slope of v1 for net-kaon undergoes a sign change from negative to positive at a lower collision energy compared to net-proton. An approximate atomic mass number scaling is observed in the measured v1 slopes of light nuclei at mid-rapidity, which favors the nucleon coalescence mechanism for the production of light nuclei. The v3 slope for all particles decreases in magnitude with increasing collision energy, suggesting a notable integrated impact of the mean-field, baryon stopping, and collision geometry at lower collision energies.
Development of Daily Flow Expansion Regression and Web GIS-Based Pollutant Load Evaluation System
Authors: Kum Donghyuk , Ryu Jichul , Shin Yongchul , Jeon Jihong , Han Jeongho , Lim Kyoung Jae , Kim Jonggun
Published: March 2024

This study accounted for the importance of daily expansion flow data in compensating for insufficient flow data in a watershed. In particular, the 8-day interval flow measurement data (intermittent monitoring data) could cause uncertainty in the high- or low-flow conditions that have been used to estimate the flow duration curve (FDC) and the load duration curve (LDC) used in Total Maximum Daily Load (TMDL) evaluation in Korea. Thus, this study developed a method to expand the 8-day interval flow data (missing data) to daily flow data in order to evaluate the Total Maximum Daily Load (TMDL) appropriately in a watershed. We employed the machine learning technique (the gradient descent method provided by the Google TensorFlow package) to develop a regression for expanding the 8-day interval flow data. The method was applied in the Nakdong River basin located in Korea to collect the 8-day interval and daily flow data from a number of gauging stations. The results of the expanded daily flow were evaluated through the RMSE, MAE, IOA, and NSE, and the valid expanded daily flow data were obtained for the 29 TMDL gauging stations (IOA 0.84~0.99, NSE −0.18~0.99). A good performance in the creation of daily flow data (continuous data) from the 8-day interval flow data (intermittent data) was shown using the proposed method. In addition, the Web GIS-based pollutant load assessment system was developed to evaluate the TMDL; it included the daily data expansion method and provided the pollution load characteristics objectively and intuitively. This system will help decision makers, such as environmental regulators, researchers, and the general public, and support their decision making for pollution source management with accessible and efficient tools for understanding and addressing water quality issues.
An Integrated Approach for the Climate Change Impact Assessment on the Water Resources in the Sangu River Basin, Bangladesh, under Coupled-Model Inter-Comparison Project Phase 5
Authors: Hasan Md. Khairul , Rasmy Mohamed , Koike Toshio , Tamakawa Katsunori
Published: March 2024

The Sangu River basin significantly contributes to national economy significantly; however, exposures to water-related hazards are frequent. As it is expected that water-related disasters will increase manifold in the future due to global warming, the Government of Bangladesh has formulated the Bangladesh Delta Plan 2100 (BDP-2100) to enhanced climate resilience. Accordingly, this study assessed the hydro-meteorological characteristics of the Sangu River basin under the changing climate. This study scientifically selected five General Circulation Models (GCMs) to include the model climate sensitivity and statistically bias-corrected their outputs. The Water and Energy Budget-based Rainfall-Runoff-Inundation (WEB-RRI) model was used to simulate the hydrological responses of the basin. The analysis of five GCMs under the Representative Concentration Pathway (RCP8.5) revealed that all selected GCMs estimate a 2–13% increase in annual rainfall and a 3–12% increase in annual discharge in the near-future (2025–2050), whereas four GCMs project an 11–52% increase in annual rainfall and a 7–59% increase in annual discharge in the far-future (2075–2100). The projected more frequent and intense increased extreme rainfall and flood occurrences in the future indicate an increase in flood disaster risk, whereas increased meteorological and hydrological drought in the future reflects a scarcity of water during dry periods. The number of projected affected people shows an increasing trend due to the increased inundation in the future. However, an increasing trend of transpiration indicates agricultural productivity will increase in the future. Policymakers can utilize this evidence-based information to implement BDP-2100 and to reduce the disaster risks in the basin.
Decolonizing Indigenous Drinking Water Challenges and Implications: Focusing on Indigenous Water Governance and Sovereignty
Authors: Hurlbert Margot , Acharibasam John Bosco , Datta Ranjan , Strongarm Sharon , Starblanket Ethel
Published: March 2024

Indigenous Peoples in Canada have shown great strength and resilience in maintaining their cultures and ways of life to date in the face of settler colonialism. Centering the Water crises within Indigenous sovereignty and self-determination, we explore the impacts these crises have on community members. Particularly, the continuous failure of the Canadian government to end the Water crises in remote Indigenous communities, Star Blanket Cree Nation, is investigated in this paper. What implications have these Water governance gaps had on Indigenous Peoples’ sovereignty and self-determination? We adopted an Indigenist theoretical framework to guide the study. Additionally, a community-based participatory research approach was adopted. To achieve our research goals of investigating the implications of the current Water crises for Indigenous sovereignty and self-determination, specific methods of sharing circles were used to gather knowledge from community members, Elders, and knowledge keepers. The research findings strongly highlight the strength and resilience shown by remote Indigenous communities in the face of the current Water crises and continuous government failure. Solving the current Water crises will involve remote Indigenous communities taking charge of their own Water governance through Indigenous-led Water governance systems. Additionally, taking steps to rebuild trust through genuine reconciliation will be key. Therefore, listening to remote Indigenous communities and taking collaborative action are fundamental.
Sistem Pendukung Keputusan Pemilihan Calon Penerima Beasiswa Tahfidz Menggunakan Metode SAW
Authors: Syifa Rifa Nurafifah Syabaniah , Wibowo Agung , Marsusanti Eva , Purwati Nani , Riniawati Rina
Published: March 2024

Penelitian ini menggunakan metode Simple Additive Weighting (SAW) dalam memilih calon penerima beasiswa tahfidz. Proses seleksi pemilihan beasiswa tahfidz di pondok pesantren ATH dilakukan dengan mengumpulkan data santri yang memiliki kemampuan membaca al-qur’an, serta memiliki minat untuk menjadi penghapal al-qur’an. Proses ini membutuhkan tingkat ketelitian tinggi dan waktu yang lama pada saat membandingkan satu persatu data yang mengikuti tes pengujian beasiswa tahfidz oleh dewan penguji. hasil penerapan metode Simple Additive Weighting (SAW) untuk pemilihan calon penerima beasiswa tahfidz dengan menggunakan 4 kategori penilaian (jumlah hapalan, nilai tajwid, nilai makhorijul huruf dan status keluarga) menunjukkan bahwa nilai vektor terendah ke tertinggi adalah 0,47 untuk nilai santri terendah, sedangkan untuk nilai tertinggi adalah 0,83 dari 53 jumlah santri yang mengikuti tes pemilihan beasiswa tahfidz. setelah di ranking sepuluh terbaik diperoleh nilai vektor terendah adalah 0,73 yang sebelumnya terendah adalah 0, 47. Hasil dari penelitian menunjukkan bahwa Metode Simple Additive Weighting (SAW) terbukti dapat memilih 53 santri menjadi 10 santri penerima beasiswa tahfidz.
PERBANDINGAN EFEKTIFITAS ALGORITMA DECISSION TREE, NAÏVE BAYES, K-NEAREST NEIGHBOR DAN SUPPORT VECTOR MACHINE DALAM MELAKUKAN KLASIFIKASI
Authors: Gulo Ervin Susanto , - Christnatalis , Gulo Yosafat Ricardo , Marbun Sarinova Florina
Published: March 2024

Klasfikasi merupakan kasus yang sering diangkat menjadi judul penelitian dikarenakan banyaknya metodeyang bisa melakukan klasifikasi. Adapun beberapa metode yang bisa melakukan klasifikasi adalah metodeDecission Tree, K-Nearest Neighbor, Naïve Bayes dan Support Vector Machine. Metode-metode tersebutmemiliki kelebihan dan kekurangannya tersendiri, oleh karena itu setiap metode menghasilkan nilai akurasiyang berbeda-beda. Dari 40 data jurnal penelitian yang sudah dilakukan sebelumnya didapatkan hasil berupametode Support Vector Machine mendapatkan nilai rata-rata akurasi 86,61% dan menjadi metode dengannilai akurasi tertinggi dibandingkan ketiga metode lainnya. Metode Naïve Bayes mendapatkan nilai hasilrata-rata akurasi sebesar 73% dan menjadi metode dengan nilai akurasi terendah dibandingkan ketigametode lainnya
Rancang Bangun Radar 360 Derajat Berbasis Arduino
Authors: Winardi Slamet , Kristiyono Antonius Edy , Herlambang Sri Mulyanto , Budijanto Arief
Published: March 2024

Pada penelitian ini dibuat suatu alat simulator radar yang menggunakan komponen utama mikrokontroler arduino nano dan untuk mendeteksi serta mengukur jarak obyek yang tertangkap simulator radar menggunakan sensor  ultrasonic. Sensor ultrasonic yang digunakan untuk menangkap obyek dikopel dengan motor DC servo agar dapat digerakkan kearah kanan dan kiri dengan simpangan sudut 360°. Permasalahan yang terjadi dengan putaran 360O adalah mengatasi terlilitnya kabel sensor ultrasonic dalam mekanis radar tersebut. Sehingga dibuat dua buah lempengan yang akan menghunbungkan lempengan yang statis dan lempengan yang dinamis dengan empat jalur untuk koneksi ke terminal sensor. Visualisasi obyek yang tertangkap radar (sensor ultrasonic) akan ditampilkan pada layar komputer dengan visualisasi grafik dan memberikan tanda beep setiap menangkap obyek yang ada di depan sensor. Simulasi ini dibuat untuk mendeteksi benda sampai pada jarak 40 cm, dengan membuat skala 1:10 sehingga 40 cm sama dengan 4 meter. Perangkat lunak yang digunakan memvisualkan obyek yang tertangkap radar Arduino menggunakan Processing karena software ini sangat mudah komunikasi antar platform. Hasil pengujian  alat ssudah sesuai dengan tujuan, tetapi masih memiliki rata-rata kesalahan dalam melekukan pengukuran jarak sebesar 0,225.
Implementasi Kriptogrfi Algoritma Elgamal dalam Pengamanan Dokumen Surat
Authors: Ramadhany Sri , Hendri Muhammad Hendri , Adek Raudhah , Fitri Fitri Fatimah
Published: March 2024

Ada beberapa aspek dalam keamanan jaringan, yaitu keaslian sumber atau objek, kendali akses terhadap sumber daya, kerahasiaan data, keutuhan data, non-repudiation (menghindari penolakan atas penerimaan/pengiriman data yang terkirim) dan ketersediaan layanan. Aspek kerahasiaan merupakan upaya untuk menjaga kerahasiaan dari informasi yang bersifat rahasia atau pribadi agar tidak diketahui orang lain yang tidak memiliki hak akses. Komputer yang sudah terhubung ke jaringan internet rentan terhadap pencurian data ataupun informasi. Adapun tujuan dari penelitian ini adalah bagaimana teknik atau cara melindungi data dari pencurian ataupun perubahan isi. Oleh itu dibutuhkan suatu pengamanan menggunakan metode kriptografi. Disini digunakan ElGamal karena metode ini cukup sulit dipecahkan, karena nilai kunci terpisah antara kunci private maupun kunci public. Berdasarkan hasil penelitian didapat bahwa proses pembangkitan kunci merupakan inti dari proses pengelolaan manajemen keamanan dari ElGamal.
Perencanaan Srategis Sistem Informasi Pariwisata menggunakan Framework Cobit 5
Authors: Novitasari Dewi , Sutabri Dr. Tata
Published: March 2024

Failure to plan the utilization of Information Systems and Information Technology results in organizations/institutions facing a relatively high increase in financial expenses. Advances in information technology make Information Systems and Information Technology have an important role for the running of an organization today. Information system strategic planning is needed that is aligned with organizational goals that are in accordance with organizational needs and can provide benefits. Strategic planning must be in accordance with the needs of activities and organizational goals. This research was conducted using the Cobit 5 Framework with the Ward and Peppard method by applying several stages of analysis. It is known that the priority of the BSC Cobit 5 Dimension sequentially is financial, learning and growth, internal and costumer. While TI's goal of the cobit 5 process, number 7 gets the first priority where the processes that are the first order are EDM04, APO01 and APO07 and so on.
Perancangan Sistem Informasi Inventaris Barang Berbasis Web Secara Online Pada Universitas Prima Indonesia
Authors: Manday Dhanny Rukmana , Wijaya Steven , Waruwu Jefrin
Published: March 2024

The importance of inventory management for business success and how technology can help improve inventory management. The design of an online web-based inventory information system at Prima Indonesia University is discussed in this article. The research aims to improve inventory management business profitability at Prima Indonesia University. One of the approaches used to collect data for this project is the waterfall system development process, which also includes interviews, observations, documentation, and literature studies. Blackbox testing is a technique used to test the system in publication. Functional testing verifies that the system can operate according to the functional requirements established during the analysis and design stages. Testing the system's ability to meet non-functional criteria, such as security, speed, and performance, is known as non-functional testing. After testing, the author makes improvements and fixes to the system found during testing. The support and maintenance stages are carried out regularly to ensure the system runs well and meets user needs. The results showed that the web-based online inventory system developed for Prima Indonesia University using the waterfall model can help improve inventory management and business profitability. The system can reduce errors in inventory management and speed up the process of searching and retrieving inventory data. System testing shows that the system can function properly and meet the requirements at the analysis and design stages.
ANALISIS PELAYANAN RUMAH SAKIT UMUM DENGAN PERBANDINGAN ANTARA METODE ALGORITMA KMEANS, DAN K-MEDOIDS CLUSTERING
Authors: - Christnatalis , Claudyo Eric , - Lucky , Manullang Herry Kristover , Zebua Arus Iman
Published: March 2024

Hospitals are part of a health system that aims to provide comprehensive individual health services. Services include inpatient, outpatient, and emergency care. Hospitals must provide high-quality services according to existing standards and serve all levels of society. Understanding customers' needs, wants, and demands will provide Another factor that affects the quality of health services is the availability of resources and service facilities during the insurance period. Lack of continuity of service affects the efficiency and quality of the relationship. The quality of health services is also strongly influenced by the ease of information and timeliness of public hospital services. Based on data from 341 hospital service quality surveys, the results obtained from the K-Means algorithm method are 2.701288, while the results obtained in the K-Methoids Clustering method are 2.17, where the General Hospital service questionnaire is a very satisfied category. A comparison of the results of the K-Means and K-Medoids methods aims to make it easier to measure customer satisfaction.
Implementasi Sistem Pemilihan Agen Perubahan Pada Pengadilan Militer Tinggi I Medan Menggunakan Metode Topsis
Authors: Zakir Ahmad , Sitorus Febrica Hotmaulina , Lubis Fachrul Rozi
Published: March 2024

The Medan High Military Court I is an essential institution in Indonesia's military justice system, and change within this institution plays a crucial role in improving efficiency, accountability, and legal services. Change agents within the military justice system are crucial in improving the system, increasing accountability, and ensuring compliance with human rights principles and applicable laws. Selecting effective change agents at Medan High Military Court I using the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) method. The TOPSIS method measures and compares change agent candidates based on predetermined criteria. These criteria included competence, experience, understanding of the military justice system, communication, and leadership ability. Data was obtained through surveys and interviews with staff and stakeholders at Medan High Military Court I. This system will assist decision-makers at Medan High Military Court I in determining the most suitable change agent to lead change in the institution. In addition, this research can also provide insights into the importance of selecting the right change agent in the context of military justice, which in turn can improve the effectiveness of the military justice system as a whole.
Penerapan Algoritma Convolutional Neural Network Untuk Menentukan Retinopati Hipertensi Melalui Citra Retina Fundus
Authors: S Kana Saputra , Taufik Insan , Niska Debi Yandra , Fairozi Raiyan , Hidayat Mhd , Al-Areef Mohammed Hafizh
Published: March 2024

Hypertension is a disease that spreads in the human body caused by increased blood pressure that exceeds normal limits. The increase occurs over a long period, causing complications in human organs that cannot be seen clearly, such as complications in the heart, kidneys, brain, and retina. One of the disorders or complications of high blood pressure is in the retina. The disorder in the retina can also be said as hypertensive retinopathy. Patients suffering from hypertensive retinopathy can only be diagnosed by an ophthalmologist; this is because hypertensive retinopathy cannot be seen with the naked eye. However, one of the earliest signs is the thinning of the arterioles, which can cause blindness. Therefore, computer-assisted processing and analysis of eye fundus images to identify hypertensive retinopathy is an important thing to do by applying the Convolutional Neural Network algorithm. There are nine Convolutional Neural Network architectures used, namely AlexNet, DenseNet, Inception-V3, InceptionResNetV2, Lenet-5, MobileNetV2, ResNet50, VGG16, and VGG19. Based on the experimental results, it was found that of the nine Convolutional Neural Network architectures, two of them, namely AlexNet and Lenet-5, obtained an F1 Measure value of 0.66 and the highest accuracy of 0.67.
The prevalence of the cagE gene of Helicobacter pylori and its association with gastroduodenal diseases
Authors: Thai Thi Hong Nhung , Nguyen Thai Hoa , Nguyen Thi Mai Ngan , Ha Thi Minh Thi
Published: March 2024

Background: Helicobacter pylori is the leading cause of gastroduodenal diseases. The CagE protein, which is encoded by the cagE gene on the cag pathogenicity island (cagPAI), plays an important role in supplying energy for the type IV secretion system (T4SS).

This study aimed to determine the prevalence of the cagE gene of H. pylori isolates from patients with gastroduodenal diseases, and to investigate the association between the cagE gene and gastroduodenal diseases.

Materials and methods: H. pylori strains were isolated from gastric mucosa biopsy specimens of 173 patients with gastroduodenal disease. The polymerase chain reaction technique was performed to identify the cagE gene.

Results: The cagE gene was detected in 83.8% of H. pylori isolates. After adjusting for age and gender, the multivariable logistic regression analysis revealed that cagE-positive H. pylori infection was associated with an increased risk for peptic ulcers (aOR = 5.72, 95% CI: 1.11 - 29.38, p = 0.037).

Conclusion: High prevalence of the cagE gene was observed among H. pylori isolates from patients with gastroduodenal diseases. The cagE gene was related to an increased risk for peptic ulcers.

Key words: Helicobacter pylori, cagE gene, gastroduodenal diseases.
Relationship between pain and quality of life in lung cancer patients
Authors: Nguyen Thi Yen Nhi , Tran Thien Trung
Published: March 2024

Background: The interest of quality of life remains a high priority subject on cancer patients. Pain has been recognized as a key symptom in various types of cancer; pain affects all aspects of quality of life and aggravates other symptoms. In the treatment and care of patients, nurses play an important role in assessing, supporting and helping to improve the quality of life of cancer patients.

Objective: To survey the relationship between pain severity and average score of quality of life in lung cancer patients.

Material and method: Descriptive cross-sectional study was conducted on 102 lung patients at all stages treated at Gynecology and Lung Department of Ho Chi Minh City Oncology Hospital from 3 - 6/2022. EORTC QLQ-C30 and EORTC QLQ-LC13 questionnaires were used to investigate quality of life, pain severity was assessed by the BPI-sf self-assessment questionnaire.

Results: Pain prevalence was 52% in lung cancer patients at all stages; among them, mild pain was 41.5%, moderate pain was 49.1% and severe pain was 9.1%. The average score of global health status scored was 64.9 points. Functional aspects had average scores from 56.5 - 89.7 points. The most prominent symptoms are fatigue, appetite loss and insomnia. There was a correlation between pain severity (BPI-sf) and the average score of global health status, social, physical, role functioning and symptoms of fatigue, nausea/vomiting, pain, dyspnea, insomnia, appetite loss, constipation, haemoptysis, dysphagia (EORTC QLQ-C30 and EORTC QLQ-LC13).

Conclusion: Global health status and the ability of performing social, physical and role functioning decreased with increased pain. Conversely, other symptoms worsened on the increase in pain severity.

Key words: lung cancer, quality of life, pain.
Results of laparoscopic total gastrectomy with lymphadenectomy for gastric cancer
Authors: Tran Tuan Anh , Pham Anh Vu , Le Loc , Tran Hoang Minh , Nguyen Minh Thao , Dang Nhu Thanh
Published: March 2024

Background: Evaluation the feasibility, safety and effectiveness of laparoscopic total gastrectomy with lymphadenectomy for gastric cancer.

Materials and Methods: A prospective descriptive study of 45 patients with gastric adenocarcinoma underwent laparoscopic total gastrectomy at Hue Central Hospital and Hue University of Medicine and Pharmacy Hospital between January 2019 and February 2022.

Results: The mean age was 56.9 ± 12.5 years. The male/female ratio was 1.04/1. 57.8% of patients had ASA 2. 46.7% of tumor was at the middle part of stomach. The percent of patients with tumors at stage IIIA was 24.4%. Poor differentiated tumor had the percent of 37.8%, 17.8% of patients had signet ring cell carcinoma. The average operation time was 219.6 ± 68.7 minutes. The mean blood loss was 441.4 ± 426.3 ml. The average number of dissected lymph nodes was 17.1 ± 9.3. 22.2% of patients had complications, the percent of Clavien-Dindo grade III complications was 8,9%. The length of post-operative was 11.6 ± 3.7 days. The overall survival time was 35.4 ± 2.6 months. 1-, 2-, 3- and 4-years overall survival rates were 91.1%, 70.3%, 59.9% và 52.4%.

Conclusion: Laparoscopic total gastrectomy with lymphadenectomy for gastric cancer appears to be a safe, feasible and effective procedure.

Key words: gastric cancer, laparoscopic, total gastrectomy.
Comparison of Machine Learning Algorithms for Predicting Financial Risk in Cash Flow Statements
Authors: Engin Ecem , İlter Fakhourı Damla
Published: March 2024

Nowadays, making financial decisions and evaluating loan applications is a complex and sensitive process. Cash flow data, which shows the financial risk status of businesses, plays a key role in evaluating loan applications. Cash flow data, which shows the financial risk status of businesses, plays a key role in evaluating loan applications. Guiding business managers in making strategic decisions and managing financial risks, quarterly data provides a detailed timeline of business performance and helps identify seasonal changes. A detailed analysis using machine learning algorithms evaluates the performance of different models built to compare businesses quarters in the loan classification process and highlights the role of cash flow data in the process. It was aimed to create effective algorithms by taking into account the suitability of the quarterly data between 2018 and 2022 of the 282 companies used in the study, and to provide a unique approach in the field of evaluating these algorithms with information criteria. The model performances of the quarters are very close to each other and a high success rate is obtained. Therefore, it was observed that quarterly periods did not make a significant difference in model performance. The model created for the 2nd quarter of 2019 was selected as the best model with 99% accuracy and 99% F1 value. It was also determined that the selection of variables with high accuracy rates in the models established for each quarter is important in terms of predicting financial risk.
A proficiência de medidas de segurança orgânica na salvaguarda de ativos institucionais da Polícia Militar do Paraná
Authors: Machado Jéssica de Moraes
Published: March 2024

O contexto social permeado por intensas e oscilantes relações, trocas e comunicações, oriundas da Globalização e Capitalismo, impõe à sociedade a necessidade de se manter ativa frente as atualizações constantes nas relações sociais. É nesse cenário desafiador que as instituições buscam aprimorar sua atuação e processos internos, na busca pela sobrevivência organizacional. Tal iniciativa é, em sua generalidade, constatada com maior frequência entre empresas privadas. As instituições públicas, possivelmente por falta de concorrência e controle e apresentação de resultados operada de forma distinta da iniciativa privada, preocupam-se menos em padronizar e normatizar medidas de segurança interna. Nesse viés, a Segurança Orgânica (SEGOR) é o segmento da Contrainteligência que visa proteger o próprio patrimônio, recursos, pessoal e reputação da instituição, por meio da prevenção, dissuasão, detecção, obstrução e neutralização de possíveis ameaças e ocorrências de segurança que possam afetar a organização. A Polícia Militar do Paraná (PMPR) não possui um Plano de Segurança Orgânica, que é o documento que formaliza essas medidas de suma importância para a sobrevivência e fortalecimento da corporação. Para tanto, objetivou-se com o presente artigo científico demonstrar a proficiência das medidas de Segurança Orgânica na proteção dos ativos institucionais da PMPR, que são aqueles recursos que tem valor para a corporação e devem ser preservados. Buscou-se responder tal problemática através de vasta pesquisa bibliográfica, jurídica e documental. Da análise chegou-se ao entendimento de que a formalização de medidas de SEGOR é essencial para o cumprimento do Plano Estratégico da PMPR.
Levantamento de Segurança no Ambiente Escolar (LSAE): a segurança escolar pela utilização de um instrumento preventivo
Authors: Barszcz Jardel , Cordeiro Alexandre Moreira
Published: March 2024

Os crimes e os criminosos são indiscutivelmente uma realidade social em qualquer época. Há histórias que tratam do assunto e que perpassam pelo tempo, denotando a realidade sofrida por vítimas em suas residências, nas vias e logradouros públicos. Se evidentemente os crimes contra as pessoas e contra o patrimônio ocorrem, mesmo diante das ações do Estado relacionadas às políticas de Segurança Pública, outras atitudes são necessárias para a diminuição dos índices de violência observados publicamente. Nesse viés, este trabalho apresenta uma contribuição do Batalhão de Patrulha Escolar Comunitária (BPEC) à Comunidade Escolar paranaense, através do Levantamento de Segurança do Ambiente Escolar (LSAE), considerando-se princípios extraídos de referenciais teóricos que tratam da arquitetura contra o crime. O levantamento de segurança adotado pelo BPEC fornece subsídios importantes a serem repassados às Instituições Estaduais de Ensino, no âmbito da Secretaria de Estado da Educação do Paraná (SEED/PR). Dessa maneira, a segurança de alunos, professores, funcionários, pais e circunvizinhança é maximizada pela aplicação das orientações advindas do formulário elaborado pelo patrulheiro escolar. O referencial teórico exposto neste artigo evidencia a eficácia das ações no caso da adoção de medidas corretivas relacionadas ao LSAE, por parte da escola.