bluuebunny/crossref_metadata_2025 huggingface dataset:
Strategi Pengembangan Wisata Sejarah Di Daya Tarik Wisata Candi Sumberawan, Kabupaten Malang, Jawa Timur
Authors: Handayani Tikasari , Suryasih Ida Ayu , Sunarta I Nyoman
Published: February 2025

Tourism with historical aspects offers significant opportunities to attract the attention of tourists due to the diversity of stories and backgrounds associated with each historical relic across different regions in Indonesia. One such example is the Sumberawan Temple, a historical tourism attraction in Malang Regency. The uniqueness of Sumberawan Temple as the only Buddhist stupa in East Java Province creates its own allure. This research aims to analyze strategies that can be implemented to develop the historical tourism appeal of Sumberawan Temple in Malang Regency, East Java. This study utilizes a combination of qualitative and quantitative data, with data sources from both primary and secondary sources. Data collection methods include interviews, observations, literature reviews, and documentation. The research findings indicate that attractions such as the beauty of the stupa, traditional ceremonies, photography opportunities with historical objects, and spring rituals enhance the historical appeal of the temple. Adequate facilities, accessibility, and active involvement of the local community in management enrich tourists' experiences. Information provided by the information center supports tourists' understanding of the temple's history. The Development Strategy for the Historical Tourism Appeal of Sumberawan Temple employs a SWOT (Strengths, Weaknesses, Opportunities, Threats) approach to formulate robust strategies. These include promotion through narrative storytelling or storynomics, the development of a local cultural events calendar, strengthening local cuisine, involving community participation in facility improvements, training, and crowdfunding, developing integrated tour packages, historical tourism guide education, improving public transportation, and cultural preservation programs.
Keywords: Development Strategy, Historical Tourism, Sumberawan Temple
Penerapan Keselamatan Dan Kesehatan Kerja (K3) Di Wisata Gua Batu Cermin, Labuan Bajo, Kabupaten Manggarai Barat
Authors: Jenia Serlinda , Sastrawan I Gede Anom
Published: February 2025

Batu Cermin Cave is one of the natural tourist attractions in Labuan Bajo. Batu Cermin Cave tourism activities eeare inseparable from potential hazards and potential accidents that harm all parties. Therefore, the importance of implementing occupational safety and health procedures. The implementation of health and safety (K3) infrastructure for tourists in the Batu Cermin Cave Tourism Attraction can be seen from three aspects, namely the Human Resources Aspect, the Health and Work Aspect for tourists and workers and the Safety Facility Aspect. The health of tourists in Batu Cermin Cave, before and after visiting the Cave Tourism Attraction is a health aspect. The type of data used in this research is qualitative. The data sources used are primary and secondary data. The research data was collected through interviews, observation and literature study. Qualitative data analysis was carried out to understand the research under study. The results of this study indicate that the procedure for implementing Occupational safety and health in Batu Cermin Cave already exists but is not optimal.
Keywords: Application of Occupational Safety and Health Tourism in Batu Cermin Cave
Faktor-Faktor Pendukung Dan Penghambat Pengembangan Di Kawasan Wisata Pantai Gunung Payung Desa Kutuh, Badung,Bali
Authors: Maretha Yohana , Sunarta I Nyoman
Published: February 2025

This research is motivated by supporting and inhibiting factors for development in the Gunung Payung Beach area, Kutuh Badung Village, Bali. Gunung Payung Beach is one of the popular tourist attractions that offers beautiful natural beauty and is considered to have implications that lead to increased economic prosperity, culture and environmental sustainability. This research was conducted using qualitative descriptive data and used qualitative descriptive analysis obtained from observations, interviews, literature studies and documentation. Likewise, the technique for determining informants used was a purposive sampling technique. The research results show that the Gunung Payung beach in Kutuh Badung village, Bali, is well prepared in preparing a destination which can be seen from the tourism component. The attractions, accessibility and amenities of this beach are very easy to access and offers many accommodation and transportation options. Other facilities include parking, toilets, direction signs and restaurants. It offers stunning views, unique beaches and tranquility as well as cheap entrance tickets. The supporting factor for development in the Gunung Payung Beach area is the existence of important internal factors that make a major contribution to the development of the area. Support and collaboration between community members played a major role in the success of establishing this tourist destination. There are no specific factors inhibiting development in the Gunung Payung Beach area, Kutuh Badung village, Bali, but the construction costs are due to the fact that it was used for other purposes during the Covid-19 pandemic. Gunung Payung Beach, Kutuh Village, Badung, Bali can be concluded as a sustainable tourist destination, where there is still a development process every year to develop the area into an established destination.
Keywords: Development, Tourism Areas, Tourism Actors
Penerapan Algoritma Slope One dalam Collaborative Filtering Sebagai Sistem Rekomendasi Tempat Kost di Denpasar
Authors: Andari Ni Wayan Anti , Supriana I Wayan , Suputra I Putu Gede Hendra , Astuti Luh Gede
Published: February 2025

The city of Denpasar serves as the administrative, business, educational, and tourism center in Bali, attracting numerous visitors including students and workers from outside the region. This has led to high demand for temporary accommodation, commonly known as boarding houses or "kost". The appropriate solution to address this issue is by developing a boarding house recommendation system to assist prospective renters in finding a place that suits their needs and preferences. This system is built using two algorithms: collaborative filtering and Slope One, to generate accurate and relevant recommendations. In the evaluation phase, usability testing is conducted using the SUS method. The results of usability testing in terms of Acceptability, Grade Scale, and Adjective Rating obtained an average score of 82.03. Accuracy testing is done using Mean Absolute Error (MAE), which resulted in an accuracy with the highest value being 0.06. A higher accuracy indicates better recommendations. The ultimate goal is to help users, especially students, efficiently find suitable boarding houses in Denpasar through information technology.
Keywords: Boarding houses, Recommendation System, Collaborative Filtering, Usability Testing, Mean Absolute Error (MAE)
Implementasi Metode Fuzzy Logic untuk Mendeteksi Asap Dupa di Pasar Tradisional Bali Berbasis IoT
Authors: Arituddiniyah Ira , Pramartha Cokorda , Atmaja Darmawan I Dewa Made Bayu , Surya Rahayuda I Gede
Published: February 2025

This research employs Fuzzy Logic for incense smoke detection in Bali's traditional markets, supported by IoT. It aims to develop a system for automatic identification, user reminders, and online monitoring. By using Fuzzy Logic, the system assesses smoke concentration, enabling appropriate responses. IoT integration facilitates object connectivity and communication. The outcome is a web platform for smoke monitoring, notifications, and remote device control. This study innovatively merges IoT with local wisdom, offering a valuable contribution.
Implementasi Business Intelligence Menggunakan Metode OLAP untuk Pengambilan Keputusan Penjualan Properti
Authors: Silitonga Lidya Elisabet Theogracia , Hendra Suputra I Putu Gede , Suwiprabayanti Putra Ida Ayu Gde , Gede Suhartana I Ketut
Published: February 2025

Berdasarkan data Badan Pusat Statistik, pertumbuhan penduduk di Indonesia mencapai 2 juta – 3 juta jiwa per tahun. Dalam hal ini, adanya peningkatan pertumbuhan penduduk, maka kebutuhan akan rumah juga meningkat. Tingginya permintaan akan perumahan memberikan peluang bagi perusahan properti(real estate), salah satunya adalah PT Anugerah Indah Prima yang berada di Kota Medan. Selain memberikan peluang yang besar, bisnis di bidang real estate juga memiliki persaingan yang ketat sehingga untuk dapat terus maju dan berkembang, PT Anugerah Indah Prima harus terus memiliki inovasi dalam mengembangkan bisnisnya. Dalam membuat suatu keputusan untuk mengembangkan bisnisnya, perusahaan tersebut masih menghadapi kendala, yaitu melakukan pengolahan data penjualan properti secara manual menggunakan Microsoft Excel. Pengolahan data tersebut belum dapat memenuhi kebutuhan manajer dan pihak marketing dalam pengambilan keputusan karena laporan yang dihasilkan masih berupa informasi umum dan sulit dipahami.
  Oleh karena itu, penelitian ini berfokus pada perancangan dashboard yang dapat memberikan wawasan informasi dalam pengambilan sebuah keputusan pada perusahaan. Pada penelitian ini memanfaatkan business intelligence, ETL(extract, transform, dan loading), OLAP(online analytical processing), dan forecasting.
Kata Kunci: Dashboard Informasi, Business Intelligence, Bisnis Properti
Penerapan Metode Naive Bayes dalam Sistem Monitoring Akuaponik
Authors: Setyaningrum Made Rahayu , Mogi I Komang Ari , Muliantara Agus , Putra Ida Ayu Gde Suwiprabayanti
Published: February 2025

Akuaponik merupakan gabungan antara budidaya akuakultur dan hidroponik yang menciptakan sistem pertanian yang memanfaatkan ikan dan tanaman secara simbiosis mutualisme. Pentingnya menjaga keseimbangan pH dan ketinggian air dalam akuaponik untuk pertumbuhan yang optimal menjadi fokus utama. Untuk mengatasi tantangan tersebut, sebuah sistem website dirancang untuk memantau parameter seperti suhu, pH, kekeruhan, dan ketinggian air, serta memberikan informasi tentang kondisi lingkungan. Data yang digunakan dikumpulkan melalui node-red dan disimpan dalam PHPMyAdmin. Proses pengolahan data menggunakan algoritma Naive Bayes yang mengklasifikasikan kondisi menjadi normal atau tidak normal, dengan hasil pengujian k-fold cross validation dan confusion matrix menunjukkan akurasi sebesar 92%. Selain itu, pengujian kinerja sistem website dengan black box testing menunjukkan bahwa 7 dari 8 fitur berjalan dengan baik, menunjukkan potensi pengembangan lebih lanjut untuk optimalitas penggunaannya.
 
Keywords: Akuaponik, node-red, naive bayes, k-fold cross validation, confusion matrix
Authors: Prananda Made Yayang , Kadyanan I Gusti Agung Gede Arya , Putra I Gusti Ngurah Anom Cahyadi , Suhartana I Ketut Gede
Published: February 2025

Kain cepuk adalah salah satu kerajinan khas Desa Tanglad, Kecamatan Nusa Penida, Kabupaten Klungkung, Bali, yang berasal dari nenek moyang dan diwariskan secara turun temurun. Kain cepuk juga menjadi penunjang tempat wisata di Nusa Penida yang perlu perkembangan dan pelestarian seperti digitalisasi. Namun digitalisasi tersebut akan menambah masalah baru dalam hal kepemilikan. Oleh sebab itu, penulis ingin melakukan penelitian yang digunakan untuk membangun sebuah aplikasi berbasis website dengan cara bukti kepemilikan yang sah disisipkan menggunakan tanda tangan digital yaitu Quick Response (QR) code. Bukti kepemilikan akan di enkripsi menggunakan algoritma kriptografi Advanced Encryption Standard (AES) sebelum dijadikan tanda tangan digital. Sedangkan metode penyisipannya menggunakan metode LSB. Penelitian yang dilakukan berhasil berdasarkan hasil pengujian komputasi pada pengujian tanpa serangan menunjukkan imperceptibility tidak adanya perbedaan antara stego image dan original image, lalu pada fidelity mendapatkan nilai rata-rata MSE 0,5 dan PSNR 51 dB, hasil recovery menyatakan embedded image yang disisipkan berhasil diekstrak, dan pengujian dengan serangan pada robustness dengan manipulasi atau editing pemotongan (cropping), mengubah resolusi (resizing) dan pembalikan (flipping) memiliki hasil yang tidak dapat diekstraksi. Sedangkan untuk rotasi (rotation) stego image dapat tahan dan menghasilkan plaintext ketika diekstrak. Ukuran keberhasilan lainnya berdasarkan pengujian perangkat lunak menggunakan black box testing mendapatkan bahwa fungsional aplikasi bekerja dengan baik serta tidak ada fitur yang bermasalah.
Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Principal Component Analysis (PCA) for Anomaly Detection
Authors: Parhusip Hanna Arini , Trihandaru Suryasatriya , Susanto Bambang , Heriadi Adrianus Herry , Santosa Petrus Priyo , Sardjono Yohanes , Kurniawan Johanes Dian
Published: February 2025

This research addresses a critical issue in industrial environments: air quality, specifically regarding PM 1.0 and PM 2.5. High concentrations of these particles pose significant health risks. The study measures temperature, humidity, pressure, altitude, PM 1.0, and PM 2.5 and shows the effectiveness of using AIOT-Particle devices to analyze these features with Principal Component Analysis (PCA). Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is used to detect anomalies during the observation period. Anomalies occur when the altitude ranges from 65 to 70 units, according to PM 1.0 and PM 2.5 values. The positions where anomalies occur are illustrated based on altitude, temperature, pressure, and concentration. The results demonstrate that altitude dominates as the first feature. Finally, the research concludes that altitude, PM 1.0, and PM 2.5 are the dominant features. The study confirms the effectiveness of PCA and recommends using these three features for anomaly detection in DBSCAN. Overall, the research highlights the novelty and success of AIOT-Particle in industrial environments.
The BERT Uncased and LSTM Multiclass Classification Model for Traffic Violation Text Classification
Authors: Indah Komang Ayu Triana , Darma Putra I Ketut Gede , Sudarma I Made , Hartati Rukmi Sari , Jo Minho
Published: February 2025

The increasing amount of internet content makes it difficult for users to find information using the search function. This problem is overcome by classifying news based on its context to avoid material that has many interpretations. This research combines the Uncased model BiDirectional Encoder Representations from Transformer (BERT) with other models to create a text classification model. Long Short-Term Memory (LSTM) architecture trains a model to categorize news articles about traffic violations. Data was collected through the crawling method from the online media application API through unmodified and modified datasets. The BERT Uncased-LSTM model with the best hyperparameter combination scenario of batch size 16, learning rate 2e-5, and average pooling obtained Precision, Recall, and F1 values of 97.25%, 96.90%, and 98.10%, respectively. The research results show that the test value on the unmodified dataset is higher than on the modified dataset because the selection of words that have high information value in the modified dataset makes it difficult for the model to understand the context in text classification.
Training VGG16, MobileNetV1 and Simple CNN Models from Scratch for Balinese Inscription Recognition
Authors: Imawati Ida Ayu Putu Febri , Sudarma Made , Darma Putra I Ketut Gede , Bayupati I Putu Agung , Jo Minho
Published: February 2025

Many inscriptions in Bali are damaged. Damage to these inscriptions can be caused by natural disasters, overgrown with moss, algae and bacteria. Damage can also be caused by warfare, or deliberately erased. This inscription contains the knowledge and civilization of the ancestors so it is very important to be able to read its contents. Based on these problems, this research conducted training from scratch on 3 CNN models namely VGG16, MobileNetV1 and Simple CNN. The purpose of this research is to choose one recognition model that has the best performance and produces the highest recognition rate to proceed to the inscription restoration stage. The dataset used is Balinese inscription: Isolated Character Recognition of Balinese Script in Palm Leaf Manuscript Images in Challenge-3-ForTrain.zip. The training process of three models with five different training files resulted in the finding that VGG16 has the highest accuracy in the training, testing, and validation process with the least number of epochs. This research contributes to specific datasets, such as the Isolated Character Recognition of Balinese Script using the training process from the beginning of VGG16, involving all stages of the process. It will produce the best model performance compared to the other four training models.
Predicting the Number of Passengers in Public Transportation Areas Using the Deep Learning Model LSTM
Authors: Siswanto Joko , Prasetyo Sri Yulianto Joko , Wijono Sutarto , Maria Evi , Rahardja Untung
Published: February 2025

Accurate predictions of the number of public transport passengers on buses in each region are crucial for operations. They are required by the planning and management authority for bus public transport. A deep learning-based LSTM prediction model is proposed to predict the number of passengers in 4 bus public transportation areas (central, north, south, and west), evaluated by MSLE, MAPE, and SMAPE with dropout, neuron, and train-test variations. The CSV dataset obtained from Auckland Transport(AT) New Zealand metro patronage report on bus performance(1/01/2019-31/07/2023) is used for evaluation. The best prediction model was obtained from the lowest evaluation value and relatively fast time with a dropout of 0.2, 32 neurons, and train-test 80-20. The prediction model on training and testing data improves with the suitability of tuning for four predictions for the next 12 months with mutual fluctuations. The strong negative correlation is central-south, while the strong positive correlation is north-west. Predictions are less closely interconnected and dependent, namely central-south. With its potential to significantly impact policy-making, this prediction model can increase public transport mobility in each region, leading to a more efficient and accessible public transport system and ultimately enhancing the public's daily lives. This research has practical implications for public transport authorities, as it can guide them in making informed decisions about service planning and resource allocation.
May 4, 1970 at Kent State University: The Student Affairs Perspective
Authors: Eckert Erica
Published: February 2025

On May 4, 1970, the Ohio National Guard opened fire on students at Kent State University (KSU), killing four and wounding nine. Although this event marked a watershed moment in American culture and the start of a decline in activism related to the war in Vietnam, its place in higher education history is not well-understood. This paper traces the co-evolution of campus activism and the student affairs profession, situates the activism occurring at Kent State nationally and locally, and suggests the impact the shootings had on student affairs and law enforcement practice. The narrative is presented in large part through oral accounts of KSU student affairs administrators, many of which were recorded for the first time as part of this research project.
Review of Student Voice: From Invisible to Invaluable
Authors: Barnett Clyde , Odom Donya
Published: February 2025

Review of the book Student Voice: From Invisible to Invaluable by Michael Lubefeld, Nick Polyak, and P.J. Caposey.
Engaging Students with PocketLab Interactive Mobile Technology in a Science Classroom: A Mixed Methods Study
Authors: Ketsman Olha
Published: February 2025

This mixed methods study explored the impact of PocketLab interactive mobile sensors on science content knowledge among undergraduate students in an algebra-based physics laboratory course. The study also examined students' perspectives and experiences using PocketLab to learn class concepts. While no statistically significant differences were found between the control and treatment groups for items evaluating definitions and conceptual mastery, the control group outperformed the treatment group on problem-solving items. This difference may be due to the alignment of traditional Vernier technology experiments with the analytical problem-solving approach emphasized in lectures. Despite this, students using PocketLab reported greater flexibility and stronger connections to real-world applications. Qualitative analysis further explained these results and provided insights into students' experiences. The study concluded that while Vernier technology may be better suited for problem-solving, PocketLab enhances engagement, understanding, and the overall learning experience by facilitating real-world connections.
Women’s Participation in Mahatma Gandhi NREGS and Gender-Responsive Implementation: Progress and Persistent Challenges
Authors: J. Vanishree
Published: February 2025

This paper analyses the participation of women in the Mahatma Gandhi National Rural Employment Guarantee Scheme (Mahatma Gandhi NREGS) and examines the gender-responsive implementation of the programme. Using a descriptive research design and secondary data analysis, this study assesses trends in women’s participation, gender budgeting, resource allocation, and the potential benefits of Mahatma Gandhi NREGS assets for women. The findings reveal significant progress in women’s participation and highlight persistent challenges such as regional disparities, patriarchal norms, and inadequate facilities. To address these challenges, the paper recommends implementing the programme by incorporating women’s perspectives from the planning stages, selecting work that directly benefits women, and ensuring equitable resource allocation, which are crucial for enhancing gender responsiveness in the Mahatma Gandhi NREGS.
Are Public Works Programmes Participatory and Demand-Based? Evidence from Karnataka
Authors: Manjula R.
Published: February 2025

Participation is an important principle of good governance of the development programmes within decentralised governance. This paper examines the extent of participation of people in Mahatma Gandhi NREGS, one of India’s largest public works programmes. By using the secondary data for the nine-year period ending in 2022-23, the paper analysed the extent of people’s demand for Mahatma Gandhi NREGS and their participation in the programme in Karnataka. The paper finds that Karnataka’s performance has been satisfactory. It has been found that there has been an increase in demand as well as participation in Mahatma Gandhi NREGS in the last nine years, especially during the COVID years. However, the extent of participation and the income earned from the programme may not necessarily be sufficient to uplift the ultra-poor households above the poverty line. Delays in the wage payment have had an adverse impact on workers’ participation in the programme.
Issues in Enforcing Accountability in Mahatma Gandhi NREGS: Study of Social Audit in Telangana
Authors: Sinha Rajesh Kumar , Sajja Srinivas , Dheeraja C.
Published: February 2025

Social audit is a pivotal tool for enforcing social accountability in the planning and implementation of Mahatma Gandhi National Rural Employment Guarantee Scheme. It involves comparing official records with ground realities to assess the achievement of objectives of the Act through correct processes. Social Audit is done by people with facilitation by independent social audit units established for this purpose. This paper is based on a study on the integrity of the social audit process in Telangana, facilitated by the Society for Social Audit, Accountability and Transparency (SSAAT). Key findings of this research are poor maintenance and provisioning of records by implementing agencies; non-transparent selection of Village Resource Persons (VRPs); unsystematic training of VRPs; inadequate community mobilisation and awareness efforts; absence of independent observers in most Gram Sabhas; low attendance and voice of wage-seekers in Gram Sabha; low transparency and people’s participation in Mandal level public hearing; postponement of Social Audit process; and non-reporting of some issues by resource persons. This research paper recommends optimal utilization of the resource persons; stringent actions in case of poor maintenance and non-provisioning of records; enhancement of resource fee for VRPs; training of trainers and quality monitoring of training; proactive disclosure of information; enhancement of community involvement and mobilisation; mandatory registration of grievances and issuance of receipts; a standard pictorial technical manual with the detailed methodology of verification; mandatory presence of Junior Engineer or Technical Assistant during worksite verification; stringent disciplinary action on independent observer not attending the Gram Sabha; and public hearing at Mandal level to be chaired by an official other than those from implementing agency.
Governance Practices at the Grassroots Level to Strengthen Rural Livelihoods through Mahatma Gandhi NREGS
Authors: Sakthivel P.
Published: February 2025

Millions of people’s socio-economic lives have been profoundly impacted by the Mahatma Gandhi National Rural Employment Guarantee Scheme, one of the largest programmes implemented in independent India. It is a demand-driven, people-centred, bottom-up initiative. Public policymakers, academicians, and people have often discussed the programme’s shortcomings and accomplishments in great detail. However, it is undeniable that the programme has improved peoples’ socio-economic empowerment and purchasing power by guaranteeing them 100 days of employment. In the wake of the COVID-19 pandemic, many saw the programme as the main source of food for India’s rural populace. The number of workers requesting employment under Mahatma Gandhi NREGS increased after COVID-19. The main objective of the paper is to identify the exemplary practices implemented by different Gram Panchayats (GPs) to effectively execute Mahatma Gandhi NREGS and improve the livelihoods of rural communities, to investigate the current status of Mahatma Gandhi NREGS implementation in the state of Tamil Nadu, and to examine the challenges associated with implementing best governance practices for the effective execution of Mahatma Gandhi NREGS. As a result, a systematic investigation was carried out in two districts, Dharmapuri and Mayiladuthurai, and the results of the investigation are reported in the article.
Desafios diagnósticos e terapêuticos na síndrome do casulo abdominal
Authors: Lino Amanda Villar , Freitas Julia Sambi , Rossi Giovanni Silveira D'Andréa , Dias Pedro Henrique dos Santos , Jucá Camille Gabrielly Araújo , Piza Caio Rodrigues Pompeu , Burnier Victoria de Lima , Barreto Natália , Neiva Júnior Helbert Amaral , Silva Gabriela Maranhão da
Published: February 2025

Objetivo: Explorar os principais desafios diagnósticos e terapêuticos da Síndrome do Casulo Abdominal (SCA), uma condição rara e de difícil manejo clínico. Métodos: Foi realizada uma revisão integrativa da literatura, analisando artigos publicados entre 2019 e 2024 em bases de dados médicas. Foram incluídos estudos que abordaram a fisiopatologia, o diagnóstico e o tratamento da SCA, totalizando 14 artigos selecionados com base em critérios específicos de inclusão e exclusão. Resultados: A SCA é caracterizada por sintomas inespecíficos, tornando seu diagnóstico precoce um desafio. A tomografia computadorizada é o exame de escolha para a suspeita diagnóstica, embora o diagnóstico definitivo geralmente seja feito durante a cirurgia. O tratamento cirúrgico é eficaz em casos graves, mas está associado a complicações pós-operatórias. Em pacientes com sintomas leves, o manejo conservador, incluindo descompressão e suporte clínico, pode ser uma abordagem viável. Considerações finais: O sucesso no tratamento da SCA depende do diagnóstico precoce e de uma abordagem multidisciplinar que envolva radiologistas, cirurgiões e clínicos. A individualização do tratamento, conforme a gravidade do quadro, melhora o prognóstico e reduz o risco de complicações, garantindo uma melhor qualidade de vida aos pacientes diagnosticados com essa condição.
Challenges in medicine procurement through GeM in a tertiary care hospital in northeast India
Authors: Vashisht Anuj , Vishwanathan Jithesh , Vashisht Shruti , Sood Chetan , Sarin Puneet , Ray K. Rahul
Published: February 2025

Background & objectives

The procurement of medical items (drugs and consumables) through the Government e-marketplace (GeM) is a recent initiative. This study aimed to comprehensively assess the bottlenecks, procedural pitfalls, and delays impacting the supply chain in the procurement process of a tertiary care hospital in northeast India.

Methods

A retrospective analysis was conducted on the procurement data obtained from the hospital’s procurement cell over 12 months. The study primarily focused on the total demand for medicines and consumables through the e-portal and compared it with the actual quantity/quality received by healthcare facilities.

Results

The initial demand was placed for 1507 medicines and 1219 medical consumables. However, the healthcare facility received only 695 (46.1%) medicines and 945 (77.5%) consumables. Major bottlenecks identified were non-quotation of medicines, price negotiation rejections, and vendor failure to supply.

Interpretation & conclusions

This study identifies a few bottlenecks: non-quotation by vendors, price negotiation rejections and failure to supply medicines and consumables by the vendors in procurement through the GeM. Efforts like flexibility in matching previous purchase rates, International Organisation for Standardisation/World Health Organization (ISO/WHO) qualified vendor base at the GeM level and porting in reliable pharmaceutical companies must be directed towards optimising procurement processes and enhancing supply chain management to bridge the identified gaps and promote seamless healthcare delivery.
Понятие и идентификация товаров и технологий двойного назначения в контексте права
Authors: Саввиди К.М.
Published: February 2025

В статье рассматриваются правовые аспекты понятия и идентификации товаров и технологий двойного назначения в российском законодательстве и международном праве. Основное внимание уделяется цели законодательных норм, т. е. обеспечению национальной безопасности и выполнению международных обязательств. Рассматривается значимость правового регулирования передачи продукции военного и двойного назначения для поддержания стабильности и безопасности как на региональном уровне (в том числе в муниципальных образованиях, находящихся в непосредственной близости от зоны проведения специальной военной операции), так и на национальном, и на международном. Исследуются перспективы внедрения новых технологических решений, в частности искусственного интеллекта и блокчейна, для повышения эффективности контроля и прозрачности операций с товарами двойного назначения. Обосновывается необходимость совершенствования правового регулирования с учетом меняющейся геополитической обстановки и развития технологий.

The article examines the legal aspects of the concept and identification of dual-use goods and technologies in Russian legislation and international law. The main attention is paid to the purpose of legislative norms - ensuring national security and fulfilling international obligations. The importance of legal regulation of the transfer of military and dual-use products for maintaining stability and security at the regional (including among municipalities located in the immediate vicinity of a special military operation), national and international levels is considered. The prospects for the introduction of new technological solutions, in particular artificial intelligence and blockchain, to improve the efficiency of control and transparency of transactions with dual-use goods are studied. The need to improve legal regulation is substantiated, taking into account the changing geopolitical situation and technological development.
Unraveling the Myths and Mysteries of Photon Avalanching Nanoparticles
Authors: Skripka Artiom , Chan Emory
Published: February 2025

Photon avalanching (PA) nanomaterials exhibit some of the most nonlinear optical phenomena reported for any material, allowing them to push the frontiers of applications ranging from nanoscale imaging and sensing to optical computing. But PA remains shrouded in mystery, with its underlying physics and limitations misunderstood. Photon avalanching is not, in fact, an avalanche of photons, at least not in the same way that snowballs beget more snowballing in an actual avalanche. In this focus article, we dispel these and other common myths surrounding PA in lanthanide-based nanoparticles and unravel the mysteries of this unique nonlinear optical effect. We hope that removing the misconceptions surrounding avalanching nanoparticles will inspire new interest and applications that harness the giant nonlinearity of PA across a broad range of scientific fields.
Molecular determinants of solvent nanoseparation by nanoporous carbon materials
Authors: Kolin Sofia , Marquardt Moritz , Fläschner Gotthold , Naumann Stefan , Pluhackova Kristyna
Published: February 2025

The manifold tunable properties of nanoporous carbon materials, including high surface area, mechanical and chemical stability, electrical and thermal conductivity, rich surface chemistry, and biocompatibility render them a perfect platform for energy storage and conversion, catalysis, nanoseparation, water purification, and drug delivery. Here, we construct molecular models of nanoporous carbon materials and unveil the molecular determinants of solvent nanoseparation and self-diffusion by coarse-grained molecular dynamics simulations. Best nanoseparation is achieved at pore diameters just above size exclusion and surface oxidation is the major selective modifier of self-diffusion of polar molecules in solvent mixtures. The shape of the solvents, and to a lesser extent, the geometry of the pore network also influence nanoseparation. To quantify the impact of pore-network geometry, we derived a Markov state model, which estimates the probability of a molecule following a certain path. Our simulation framework for material construction, simulation, and analysis provides a robust foundation for future investigations on how solvent nanoseparation in amorphous nanoporous materials is governed by the interplay of surface chemistry, pore geometry, and molecular properties.
Statistical Analysis of the Dynamic Behavior of Individual Discharges During the Ignition and Continuous Phases of Contact Glow Discharge Electrolysis
Authors: Forschner Lukas , Gembus Jan-Luca , Schücke Lars , Awakowicz Peter , Gibson Andrew R. , Jacob Timo , Engstfeld Albert Kilian
Published: February 2025

Contact Glow Discharge Electrolysis (CGDE) denotes a plasma inside a vapor layer surrounding a gas-evolving electrode immersed in an aqueous electrolyte and operated at high voltages. We used a high-speed camera to image the formation of the vapor layer as well as its dynamic behavior during continuous CGDE on a Au wire cathode. The plasma ignites with a spark within a large bubble at the tip, which expands along the wire to the top, leaving a stable glow within the vapor layer behind. Using an in-house developed open-source Python-based software we deduced, from a thorough statistical analysis of images taken during continuous CGDE, a vapor layer thickness between 0.1 and 0.4 mm. Furthermore, we provide information on the dynamic behavior of individual discharges through the vapor layer from a series of images. The discharges are confined within the vapor layer and, thus, the extent of the discharges is similar to the vapor layer thickness. We find that the discharges have approximately the shape of oblate spheroids, which appear either as circles or ellipses in the camera images, depending on the orientation of the discharge with respect to the camera. We discuss the relevance of our results for the fundamental understanding of atomic scale surface structural changes and products formed in the solution in the presence of the plasma.
Isoconversional Methods of Thermal Analysis are Incompatible with Turnbull-Fisher Kinetics: Case Study of Crystallization of Piperine from the Melt
Authors: Skrdla Peter , Simon Peter
Published: February 2025

Differential scanning calorimetry (DSC) is a useful tool for studying nucleation rate-limited kinetics of crystallization from the melt. However, applying popular isoconversional methods of thermal analysis to such calorimetric data yields incorrect values of the effective activation energy, E_a. Investigating the classical dataset for the temperature-dependent rate of crystallization of piperine from the melt [Tammann, G. Ueber die Abhängigkeit der Zahl der Kerne, welche sich in verschiedenen unterkühlten Flüssigkeiten bilden, von der Temperatur. Z. Phys. Chem. 1898, 25, 441-479], we demonstrate that the Turnbull-Fisher (T-F) equation generates meaningful E_a values, across a broad temperature range, only when it is decoupled from isoconversional analysis. The problem with isoconversional methods is that they are reliant on Arrhenius kinetics, whereas T-F kinetics can exhibit either Arrhenius or non-Arrhenius behavior, depending on the temperature. Consistent with classical nucleation theory (CNT), E_a values for nucleation rate-limited conversions are positive even though the rate typically increases at higher degrees of cooling.
Conflictos en marketplaces: responsabilidad de plataformas digitales en relaciones de consumo modernas
Authors: Morales Acosta Alonso
Published: February 2025

Este trabajo analiza los problemas en las relaciones de consumo en marketplaces o plataformas digitales de dos lados, enfocándose en el régimen de responsabilidad aplicable a los titulares de las plataformas frente a los consumidores. Primero, se define el concepto de plataforma digital de dos lados, sus características y las externalidades generadas en este tipo de mercados. Se examinan las relaciones de consumo entre el consumidor, el establecimiento alojado en la plataforma y el titular de la misma. Luego, se abordan los problemas más comunes para los consumidores, como defectos de productos, fraudes e incumplimientos de servicio. Finalmente, se brindan lineamientos para determinar la responsabilidad del titular de la plataforma, incluyendo casos en los que cabría la responsabilidad solidaria con el establecimiento y se concluye que la validez de la limitación de responsabilidad depende de las expectativas del consumidor y el grado de involucramiento de la plataforma en el contrato de consumo.
On the Optimality of Differential Asset Taxation
Authors: Phelan Thomas M.
Published: February 2025

In this paper I study the optimality of differential asset taxation in an environment with entrepreneurs and workers in which output is stochastic and entrepreneurs can misreport profits and abscond with capital. I show that a stationary efficient allocation may be implemented as an equilibrium with endogenous collateral constraints, transfers to newborns, and linear taxes on profits, investment, and interest. Further, these taxes differ from one another and serve distinct purposes. The profits tax shares risk and depends solely on the severity of the misreporting friction, while the remaining instruments determine the efficient mean and variance of entrepreneurs' consumption growth.
Customer Churn Prediction Using the RFM Approach and Extreme Gradient Boosting for Company Strategy Recommendation
Authors: Irawan Mohammad Isa , Putris Nadhifa Afrinia Dwi , Muhammad Noryanti binti
Published: February 2025

Customers are vital assets in the growth and sustainability of business  organizations. However, customers may discontinue their engagement with a company and switch to competitors’ products or services for various reasons. This event referred to as customer churn. Losing customers significantly impacts a company's revenue, often resulting in financial decline. Churn events, which are subject to dynamic monthly changes, are further influenced by intense competition and rapid technological advancements. Analyzing customer characteristics is crucial to understanding customer behavior, with metrics such as recency, frequency, monetary (RFM) serving as key indicators of subscription and transaction patterns. The Extreme Gradient Boosting method is applied to address the challenge of classifying churn and non-churn customers. The prescriptive analytics process is carried out to identify the features most influential in prediction outcomes, enabling the formulation of strategic recommendations to mitigate churn problems. The integration of RFM analysis with the XGBoost method provides optimal results, particularly in the third segmentation, achieving an accuracy of = 0.98833, precession = 0.98768, recall = 0.98899, and f1-score = 0.98833. The prescriptive analytics process highlights three critical features, namely city factor, GMV generation, and total customer transaction generation. This findings demonstrate that the segmentation characteristics, data representation, and behavioral approach with RFM analysis have an effect on improving the performance of the model in churn prediction.
Pengujian Variabel Mediasi Stres Kerja Terhadap Kinerja Karyawan Di Perusahaan Garmen
Authors: Zulfa Nada Intania , Suryawardana Edy , Ariefiantoro Teguh , Mulyantomo Edy , Kusnilawati Nunik
Published: February 2025

This research aims to test or find out how much influence the workload variable and work environment have on employee performance which is mediated by the work stress variable. This test was carried out using a questionnaire method on the performance of employees in the production and packaging fields. The number of samples in this research was 100 respondents using a purposive sampling method, namely determining samples whose sample size was not yet known. The analytical tools used are path analysis, outer model analysis, inner model analysis and hypothesis testing with the help of SmartPLS 4.1.0.3 software. The results of this research show that workload and work environment have a positive and significant effect on employee performance, workload and work environment have a positive and significant effect on work stress, work stress has a positive and significant effect on employee performance. The indirect effect shows that workload and work environment influence employee performance through work stress.
Quality of Life as a Factor in the Legitimization of the Results of Municipal Refom (Based on the Materials of the Moscow Oblast)
Authors: Zubets A. N. , Ponomarev N. A. , Seleznev P. S.
Published: February 2025

The article examines the role of quality of life as a factor in ensuring the legitimization of the results of municipal reform using the Moscow Region as an example. The authors reveal the issue based on the analysis of expert interview data regarding the quality of life and the dynamics of this indicator in the territories of such municipalities as Sergiev Posad, Korolev and Dmitrovsky District. The concept of legitimacy by P. Berger and T. Lukman served as the theoretical basis for the study. The authors conclude that the specified municipalities are characterized by a fairly high level of quality of life. The dynamics of this indicator after the transformation of the corresponding territories into urban districts is characterized by the presence of a number of significant positive trends. But at the same time, there are factors that partially smooth out the positive effect of changes. The proximity to the capital sets a high level of pendulum migration and ensures the regular appearance of a large mass of tourists and summer residents. As a result, the standards of quality of life of the local population are transformed, whose representatives consider the level of consumption of Muscovites as a standard. In addition, structural problems in the field of health care, housing and communal services, and transport, related to the competence of public authorities, remain. Due to this, the quality of work of not so much municipal as regional and federal authorities acquires the role of a key determinant of the legitimization of municipal reform and its results.
Evolution of the Darknet Ecosystem and Challenges of International Information Security in Africa
Authors: Ilyinsky A. I.
Published: February 2025

The article examines the evolution of the darknet ecosystem and its impact on international information security in Africa. It analyzes key threats emanating from the darknet, including illegal trade, cybercrime, and the spread of disinformation. Specific challenges faced by African countries in the realm of cybersecurity are highlighted, such as lack of resources and low levels of awareness. Possible strategies for enhancing resilience and effectiveness in combating cyber threats in the region are also discussed, including international cooperation and the development of Russian-African initiatives in information security area.
Measuring School Readiness of Children Aged 6-8 Years: a Literature Study of Assessment Methods
Authors: Christy Naulita , Wulan Sri , Pudjiastuti Sri Indah
Published: February 2025

Abstract
Measuring school readiness is crucial for ensuring a smooth transition into formal education. Observation tools play a vital role in assessing various dimensions of readiness, including academic, social, and emotional domains. This literature review critically examines the assessment methods utilized to measure school readiness through observation tools. Drawing from a wide range of scholarly sources, including research articles, reports, and empirical studies, this review evaluates the effectiveness and reliability of different observational approaches. Key aspects explored include the validity of these tools across diverse contexts, their alignment with developmental milestones, and their practical implications for educational settings. By synthesizing current literature, this review aims to provide insights into enhancing the precision and utility of observation tools in assessing school readiness. Recommendations highlight the need for tailored approaches that consider individual differences and cultural contexts, aiming to optimize early childhood educational outcomes.
Keywords: School Readiness; Observation Tools; Early Childhood Education; Literature Study
Abstrak
Mengukur kesiapan sekolah menjadi hal yang krusial untuk memastikan transisi yang lancar ke pendidikan dasar. Alat observasi memainkan peran penting dalam menilai berbagai dimensi kesiapan, termasuk domain akademik, sosial, dan emosional. Tinjauan literatur ini secara kritis mengkaji metode evaluasi yang digunakan untuk mengukur kesiapan sekolah melalui alat observasi. Dengan mengumpulkan sebanyak 25 artikel, termasuk artikel penelitian, laporan, dan studi empiris, tinjauan ini mengevaluasi efektivitas dan keandalan pendekatan observasional yang berbeda. Aspek penting yang dieksplorasi meliputi validitas alat-alat ini dalam berbagai konteks, kesesuaiannya dengan tonggak perkembangan, dan implikasi praktisnya dalam setting pendidikan. Dengan mensintesis literatur saat ini, tinjauan ini bertujuan untuk memberikan wawasan dalam meningkatkan ketepatan dan manfaat alat observasi dalam menilai kesiapan sekolah dan hasilnya adalah kajian literatur ini memperluas pemahaman tentang penggunaan alat observasi untuk mengukur kesiapan sekolah anak dan memberikan panduan untuk penelitian dan aplikasi praktis dalam meningkatkan evaluasi pendidikan anak usia dini. Rekomendasi menyoroti perlunya pendekatan yang disesuaikan yang mempertimbangkan perbedaan individual dan konteks budaya, dengan tujuan mengoptimalkan hasil pendidikan anak usia dini.
Kata kunci: Kesiapan Sekolah; Observasi; Pendidikan Anak Usia Dini; Studi Kajian Literatur
The Selection Theory for Monotone Uniformly Equi-Bobtail Operators on Separable Hilbert Spaces
Authors: Yaremenko Mykola
Published: February 2025

We establish that a uniformly bounded infinite system \(\left\{A_{\alpha } \right\}\) of monotone, uniformly continuous, uniformly equi-bobtail operators \(A_{\alpha } \; :\; K\to H\) on the separable Hilbert space admits a convergent subsequence \(\left\{A_{n} \right\}\subset \left\{A_{\alpha } \right\}\) and show that limit of this subsequence is a monotone operator  \(A^{M} \; :\; K\to H \).