bluuebunny/crossref_metadata_2025 huggingface dataset:
Un “Caballo de Troya” ateniense. La herma lignaria de Epeo en Eno
Authors: Huerta Segovia Pelayo
Published: February 2025

El Yambo VII de Calímaco narra el origen del culto a Hermes Perpheraios en la antigua ciudad de Eno (Tracia). El poema relata la reacción de los pescadores locales ante la excepcional “captura” de una estatua de Hermes proveniente de Troya y su posterior traslado a la ciudad como imagen de culto. En el presente estudio se procede a un comentario del yambo en clave interpretativa, paralelamente al de otras fuentes auxiliares iconográficas y literarias, con el fin de demostrar que el protagonista de la composición es una herma de madera. Este mito etiológico alude así a las vicisitudes históricas de la introducción del culto de una tipología estatuaria divina que es autóctona de los atenienses en un contexto “bárbaro”. En última instancia, y ante las analogías que presenta con el caballo de Troya, se lleva a cabo una definición de la imagen semi-antropomorfa de Epeo bajo el término de “artefacto cultual”, lo que llevará a sugerir que esta veneración tracia al hermes es parte de un mecanismo político-religioso de control por parte de la Atenas de mediados del s. V a.C.
El dolor compartido: el significado de la Compassio Mariae en la cultura visual del siglo XIII
Authors: García Morales Julia María
Published: February 2025

La presente investigación versa sobre el significado de la compasión de la Virgen. Esta, comprendida como una emoción compartida, ya había sido planteada en diversos tratados médicos medievales, pero también en el marco teológico, donde quedó ligada a la figura de la Madre de Dios. Su compasión se convirtió en una poderosa herramienta meditativa en las prácticas devocionales de la Baja Edad Media que logró ser un ejemplo modélico para los fieles. Esta se entendió como la pasión física y anímica que sufrió junto a su propio hijo durante la Pasión. El dolor mariano se manifestó a través de motivos como el desmayo que penetró en las composiciones artísticas, literarias, litúrgicas y musicales a lo largo de los siglos XII y XIII. Aunque, fue en el siglo XIII cuando verdaderamente el desvanecimiento de María inundó las producciones tardomedievales, lo que justifica la elección de dicha centuria para su análisis.
Una colaboración entre Rubens y Snyders a propósito de la representación pictórica de ofidios. Tres obras con serpientes, de Snyders, en museos de Madrid.
Authors: Yubero-Hierro Saúl
Published: February 2025

La colaboración entre Rubens y Snyders fue muy fructífera, aunque, en ocasiones, surgen dudas de las manos que colaboran con el autor de La cabeza de Medusa, pues Rubens retocaba obras propias y ajenas. Se exponen tres lienzos con serpientes retratadas por Snyders en museos madrileños, cuyo objetivo es contribuir a favor de la hipótesis de la colaboración en dicha obra.
Game Edukasi 3D Berbasis Android untuk Memperkenalkan Peralatan Pendakian Gunung
Authors: Alfarizi Rizki Zakaria , Kurniawan Yogiek Indra , Permadi Ipung
Published: February 2025

Pendaki pemula sering menghadapi risiko keselamatan akibat kurangnya pemahaman mengenai peralatan pendakian yang diperlukan, yang dapat berujung pada kecelakaan. Penelitian ini bertujuan untuk mengembangkan dan mengevaluasi aplikasi game edukasi 3D berbasis Android sebagai media pembelajaran yang interaktif dan menarik untuk memperkenalkan peralatan pendakian. Game ini dikembangkan menggunakan metode Game Development Life Cycle (GDLC) yang terdiri dari enam tahapan: inisiasi, pra-produksi, produksi, pengujian, beta testing, dan rilis. Aplikasi diuji melalui metode pengujian teknis dan evaluasi pengguna untuk memastikan fungsionalitas serta pengalaman pengguna yang optimal. Hasil pengujian menunjukkan aplikasi ini berhasil meningkatkan pemahaman pengguna tentang peralatan pendakian dengan skor kepuasan pengguna sebesar 83,4% untuk aspek kegunaan dan 81,1% untuk aspek fungsionalitas. Penelitian ini memberikan kontribusi signifikan dalam menciptakan solusi pembelajaran inovatif yang tidak hanya meningkatkan pengetahuan pendaki pemula tetapi juga berpotensi mengurangi risiko kecelakaan melalui pendekatan edukasi yang menyenangkan.
Optimalisasi Manajemen Stok Barang Menggunakan Metode Apriori Berbasis Data Mining
Authors: Sari Shella Fahdila , Nasution Yusuf Ramadhan
Published: February 2025

Ketersediaan kebutuhan pokok dengan harga yang terjangkau menjadi tantangan tersendiri untuk menjaga kesetabilan stok barang pada gudang penyimpanan. Meski terlihat mudah, mengelola persediaan bukanlah hal yang dapat diremehkan, karena jika persediaan terlalu banyak risiko kerusakan barang akan meningkat, begitupun sebaliknya jika persediaan terlalu sedikit risiko kekurangan persediaan akan semakin besar dan dapat menunda keuntungan serta dapat mengecewakan konsumen. Oleh karena itu, dibutuhkan satu pendekatan baru dalam proses analisis data yang ada untuk menghasilkan informasi yang baik dan dapat menyediakan data yang sangat strategis yaitu dengan cara melakukan analisis data mining. Algoritma Apriori salah satu dari jenis aturan asosiasi yang ada pada Data Mining. Algoritma Apriori adalah algoritma yang paling terkenal untuk menentukan pola frequensi tinggi. Penelitian ini bertujuan untuk membantu pengelolaan persediaan stok barang melalui analisis pola pembelian menggunakan algoritma Apriori. Data penjualan pada UD Green selama periode tertentu dianalisis untuk menemukan aturan asosiasi yang dapat digunakan sebagai dasar perencanaan stok. Dengan nilai minimum support dan confidence yang ditetapkan, penelitian ini berhasil mengidentifikasi kombinasi barang yang sering dibeli bersama. Hasil analisis diimplementasikan dalam sebuah sistem berbasis web, memungkinkan pengguna untuk mengunggah data transaksi, memproses data mining, dan memperoleh rekomendasi terkait pengelolaan stok dengan nilai support paling tinggi yaitu 35,22% dan confidence tertinggi yaitu 36,47%. Hasil ini memberikan kontribusi strategis untuk meningkatkan efisiensi stok barang dan kepuasan pelanggan.
Model Rekomendasi Jurnal dengan Algoritma Jaccard Similarity dan Protokol OAI-PMH
Authors: Amin M. Miftakul , Firdaus Ali , Dwitayanti Yevi
Published: February 2025

Kesulitan peneliti dalam menemukan jurnal yang sesuai untuk publikasi artikel ilmiah menjadi salah satu hambatan dalam proses diseminasi ilmu pengetahuan. Masalah ini diperburuk oleh kurangnya integrasi antara sistem manajemen jurnal seperti Open Journal System (OJS) dengan layanan pencarian yang efektif. Penelitian ini bertujuan untuk merancang dan mengembangkan sebuah aplikasi journal finder yang mampu merekomendasikan jurnal berdasarkan kecocokan antara judul artikel dan abstrak. Metode yang digunakan adalah dengan mengimplementasikan algoritma jaccard similarity untuk menghitung kesamaan antara judul dan abstrak artikel dari input pengguna dengan metadata jurnal yang tersimpan dalam basis data, serta protokol Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) untuk mengumpulkan metadata artikel dari repositori jurnal yang berbasis OJS. Penelitian ini telah berhasil menghimpun sebanyak 59 repository platform OJS, dan 3.321 metadata artikel ilmiah yang disimpan dalam sebuah basis data jurnal. Hasil penelitian menunjukkan bahwa aplikasi journal finder berhasil merekomendasikan jurnal dengan tingkat kemiripan tertentu berdasarkan validasi data uji. Penelitian ini diharapkan dapat membantu para peneliti menemukan jurnal yang relevan secara lebih cepat dan meningkatkan efisiensi proses publikasi artikel ilmiah.
Uniendo voces por la paz: Estudios iniciales por una cultura de paz, género y bienestar
Authors: Aldecoa Campos Dulce Carolina , Aragón Wilson Nancy , Baca Carrasco David , Castillo Ochoa Emilia , Echeverría Castro Sonia Beatriz , Félix Romero Violeta , García Medina Marcela Cecilia , Gómez Nashiki Antonio , González Báez Diana Lourdes , González Castro Isolina , González Yocupicio Néstor , Lira Chávez Isaura Angélica , Mirón Juárez Carlos Alberto , Morales Chainé Silvia , Ochoa Ávila Eneida , Rangel Gómez María Gudelia , Reyes Valenzuela Jorge Luis , Rodríguez Navarro Anna Ivette , Sotelo Castillo Mirsha Alicia , Tánori Bernal Ana Dolores , Zavala Guirado Martha Alejandrina
Published: February 2025

Este libro de investigación contribuye al campo de la cultura de paz a partir de los hallazgos que se reportan en los capítulos incluidos. Este trabajo está conformado por siete capítulos que se agrupan en tres ejes: (1) Cultura y educación como vías de la paz, (2) Género y derechos humanos: estudios previos a una construcción de paz y (3) Bienestar psicológico y prevención de adicciones como cimientos de paz. Como personas autoras participan docentes de educación superior de instituciones públicas y privadas que investigan en el campo educativo. La presente obra está dirigida al profesorado, investigadoras e investigadores, alumnado de licenciatura y posgrado de diferentes disciplinas y a toda la comunidad académica interesada en el estudio de temáticas relacionadas con la cultura de paz.
A machine learning framework for exploring the relationship between supply chain management best practices and agility, risk management, and performance
Authors: Ward Tyler , Khoury Sam , Staub Selva , Jenab Kouroush
Published: February 2025

This study provides a comprehensive analysis of supply chain management practices based on survey responses from a sample of enterprises. Through descriptive statistics, hypothesis testing, predictive modeling, advanced analytics techniques such as classification, clustering, and association rule mining, the research offers valuable insights into key areas of collaboration, quality management, technology adoption, agility, risk management, and customer responsiveness within supply chains. The findings highlight the importance of strategic integration, proactive problem-solving, customer-centric practices, and agility in meeting changing demands. The study also identifies distinct profiles of practice adoption and reveals intricate relationships between different supply chain practices. Overall, the research contributes to a deeper understanding of supply chain dynamics and offers actionable insights for improving operational performance and strategic decision-making.
Virtual reality platforms for K-12 STEM education
Authors: Ward Tyler , Ortega-Moody Jorge A. , Khoury Sam , Wheatley Mykelti , Jenab Kouroush
Published: February 2025

Providing K-12 students with proper science, technology, engineering, and math (STEM) education is important to ensuring an innovative and prosperous economy. A highly skilled STEM workforce can lead to increased productivity and competitiveness, which can lead to a host of new ideas being researched and developed. STEM workers make added-value products, build bridges and roads, and conduct lifesaving medical research, among other important activities. The use of virtual reality (VR) technology for both education and workforce training has grown in recent years. VR technology can accelerate these processes at maximum efficacy and minimum costs and can have a significant impact on productivity gains, earnings, new jobs, innovation through research and development, and high-growth industries. This paper presents the development of a series of VR modules using the Unity game engine, the HTC VIVE Pro VR headset, and the Hi5 VR glove for the purposes of K-12 STEM education. Specifically, these developed modules have been designed to instruct K-12 students on topics related to motion and heat, with future goals to expand the modules to cover topics related to light, magnetism, electricity, radioactivity, sound, and waves. This paper will cover the methodology and design considerations that went into developing these modules, with a focus on how these modules relate to various learning strategies as well as with existing research on the use of VR in K-12 education.
Hybrid optimization of EDLP and high-low pricing strategies
Authors: Karimi Hamed
Published: February 2025

In today's fiercely competitive retail landscape, implementing effective pricing strategies is critical not only for boosting sales but also for securing a larger market share and ensuring long-term business sustainability. The ability to capture a greater share of the market directly influences a retailer's positioning and competitive edge, making pricing decisions pivotal. This paper introduces a hybrid optimization model that strategically combines Everyday Low Pricing (EDLP) and High-Low Pricing (HL) strategies, designed to address the intricacies of dynamic retail markets. The model is initially formulated as a nonlinear optimization problem aimed at maximizing sales to increase market share, all while maintaining profitability within a predefined threshold to ensure the retailer does not incur losses. To enhance the model's practical applicability, particularly in small-scale scenarios, the nonlinear problem is transformed into a Mixed-Integer Programming (MIP) model, facilitating its solvability. However, as retail applications scale up, the computational complexity becomes more challenging, necessitating the use of the Grey Wolf Optimization (GWO) algorithm. The GWO algorithm effectively balances computational efficiency with solution quality, making it a robust approach for large-scale problems. A significant contribution of this research is the linearization of the model under conditions where the products designated for High-Low pricing (referred to as 'Golden' products) are predetermined by the retailer. This linearization simplifies the computational process, enabling the model to scale and be applied in large retail settings. Developed in collaboration with a major Iranian supermarket chain, the model leverages real-world data to optimize discount levels and timing across various product categories. Extensive numerical experiments demonstrate the model's effectiveness in increasing sales, thereby contributing to a larger market share while ensuring that profitability remains within acceptable bounds. By providing actionable insights and strategic recommendations, this research offers a practical, scalable solution for optimizing retail pricing strategies in a data-driven and competitive environment, ultimately supporting retailers in their quest to dominate the market.
On the periodic polutions for a class of Partial Differential Equations with unbounded Delay
Authors: Kriche Mohammed , Elazzouzi Abdelhai , Ezzinbi Khalil
Published: February 2025

Trough this work we investigate the existence of periodic solutions for the following partial differential equations with infinite delay of the form $\dot{\textit{w}}(t) = \mathcal{L}\textit{w}(t) + \mathcal{D}(\textit{w}_{t}) + \mathcal{H}(t)$. We assume that the operator $(\mathcal{L},\mathscr{D}(\mathcal{L}))$ is generally nondensely defined operator and verifies the Hille-Yosida condition. Using the theory of perturbation of semi-Fredholm operators, we propose some sufficient conditions on the linear operators $\mathcal{L}$, $\mathcal{D}$ and the phase space $\mathscr{B}$ to guarantee the existence of periodic solutions for this class of partial differential equations from bounded ones on the positive real half-line without considering the compactness of the semigroup generated by the part of $\mathcal{L}$ on the closure of it's domain. At the end, an application with numerical simulations, is given to confirm the applicability of the obtained theoretical results.
On double-switching ARMA processes
Authors: Zerari Amel , Ghezal Ahmed , Zammouri Imane
Published: February 2025

In this paper, we introduce a double-switching ARMA model, in which the observed process is an ARMA model subject to Markov switching and a periodic sequence of period s₂. We give conditions for the existence of periodic stationary solutions of the double-switching ARMA and higher-order moments of such solutions in the general vector specification. We provide an expression in closed-form of the autocovariance function of this process and its higher power and therefore admit ARMA representation.
ULUSLARARASI VE ULUSAL MUHASEBE STANDARTLARI AÇISINDAN SAYIŞTAY DENETİM BULGULARI: YÜKSEKÖĞRETİM KURUMLARI ÖRNEĞİ
Authors: Kuyumcu Oğuz
Published: February 2025

Sayıştay denetim raporları, kamu kurumlarının mali tablolarındaki eksiklikleri ve hataları ortaya koyarak, düzeltici önlemler alınmasına yönelik önemli bilgiler sunmaktadır. Bu çalışmada, 2023 yılında Türkiye’deki yükseköğretim kurumlarında gerçekleştirilen dış denetim süreçleri kapsamında Sayıştay tarafından tespit edilen başlıca muhasebe hatalarının; Uluslararası Kamu Sektörü Muhasebe Standartları (IPSAS) ve Türkiye Devlet Muhasebesi Standartları (DMS) çerçevesinde incelenmesi ve bu bulgulara dayanarak söz konusu ulusal ve uluslararası standartlar çerçevesinde doğru muhasebe kayıtlarının nasıl yapılması gerektiğinin ortaya konulması amaçlanmaktadır. Sayıştay raporlarında sıkça karşılaşılan muhasebe hataları; maddi ve maddi olmayan duran varlıklara ilişkin eksik veya yanlış muhasebe kayıtları, dönem ayırıcı hesapların yanlış kullanımı, takibe alınan alacaklara ilişkin gerekli işlemlerin yapılmaması ve kıdem tazminatına ilişkin yanlış kayıtlar şeklinde olup, çalışmada bu tespitlere ilişkin doğru muhasebe kayıtlarının nasıl oluşturulacağına dair örnekler ve açıklamalar sunulmaktadır. Bu şekilde nihai olarak yükseköğretim kurumları mali tablolarının uluslararası karşılaştırılabilirliğine katkı sağlanması amaçlanmaktadır.
SAYIŞTAYLARIN KAMUDA ETİK YÖNETİMİ GÜÇLENDİRME UYGULAMALARI
Authors: Uzun Yaşar
Published: February 2025

Bu çalışmada, Sayıştayların kamuda etik değer ve ilkelerin güçlendirilmesine yönelik rol ve sorumluluklarının olup olmadığı ve varsa buna yönelik ne tür yaklaşımlar izledikleri üzerinde durulmaktadır. Bu nedenle çalışmanın amacı, Sayıştayların kamu yönetimlerinde dürüstlüğün, bu bağlamda etik değer ve ilkelerin güçlendirilmesine yönelik rol ve sorumlulukları ile bunlara ilişkin yaklaşımları hakkında okuyucu farkındalığını geliştirmektir. Çalışmanın sorularına cevap bulmak üzere web-tabanlı araştırma yaklaşımı izlenmiştir. Çalışmanın sonunda Sayıştayların kamunun işleyişinde etik yönetimi güçlendirmek üzere rol ve sorumluluklarının olduğu, bunları yerine getirmek üzere “kamuda etiğin denetlenmesi”, “etik rehberlik uygulamaları”, “kendi uygulamalarına ilişkin etik raporlama faaliyetleri”, “etik yönetimle ilgili ülke içi ve ülke dışı kurumlarla işbirliği” şeklinde yaklaşımlar izledikleri tespit edilmiştir.
How can the buffalo carcass be used rationally?
Authors: Silva Pessoa Ricardo Alexandre , Tavares Fernandes Marilia Celeste , Menezes Wanderley Neves Maria Luciana , Freire Arival Thales
Published: February 2025

The objective of this study was evalue the yields of meat cuts and discards obtained from the carcass of buffalo steers. The research was carried out in the Bubalinoculture Sector of the Animal Science Department of the Federal Rural University of Pernambuco, Brazil. 62 carcasses of pasture-finished cross-bred buffalo steers were evaluated. The animals weighed an average of 507.0 kg and were slaughtered before the first molt of the  deciduous dentition, with a carcass yield of 49.0%. The carcass of each animal was divided into two half- carcasses, which were identified and weighed. The carcasses were taken to a cold chamber at 4 ºC during 24h. To obtain the yield of each integral primary cut, the carcasses were sectioned into front and rear, which were weighed and boned. Boning was carried out by the same employees to maintain the standard cuts and dressing. The cuts with and without bones, the edible flap (meat and fat shavings), the discarded flap (tallow, nerves and skins) and the discarded bones were obtained. The deboning standard used was typical of the Brazilian market with dressing between moderate and severe. The percentages observed for the cuts (in each half carcass) were: soft drumstick, 5.3%; hard cushion, 3.7%; duckling, 3.8%; lizard, 1.8%; sirloin steak, 1.1%; grill flank steak, 0.75%; red flank steak, 0.61%; breast, 0.96%; rump baby beef, 1.3%; rump bonbon, 0.8%; ossobuco, 4.2%; muscle, 2.0%; turkey bone, 1.1%; duckling bone, 0.5%; oxtail, 0.38%; ancho steak, 1.3%; chorizo steak, 1.9%; filet mignon, 1.2%; fillet shell, 0.35%; chest, 3.9%; neck, 4.2%; acm, 4.3%; window rib, 8.7%; strip roast, 2.5%; banana, 0.23%; goldfish, 0.87%; palette heart, 0.77%; flat iron, 0.95%; Denver stake, 0.6%; beef steak, 0.40%; edible shavings, 19.43%; fat, 1.8%; scraps of disposal, 0.4%; discard bones, 17.9%. The proportion observed for the front and rear were 45.0 and 55.0%, respectively. There is a high volume of waste bones, which could be used in food, such as bone broth, for example. The volume of edible trimmings should be better used for making meat in cubes or as bait. The ground trimmings can be sold as ground meat or used in the preparation of hamburgers, sausages, meatballs, kafta, among others. Cuts that can be labeled premium make up approximately 25.0% of the carcass. Therefore, it is necessary to stimulate the daily consumption of buffalo meat in order to have a market for the other cuts that make up most of the carcass.
Upaya Peningkatan Kualitas Hasil Furnitur dengan Penerapan Mesin Pelapis HPL pada CV. CID di Desa Purworejo Madiun
Authors: Haqiqi Ahmad Faiz Risvan , Kusumawardana Arya , Habibi Muhammad Afnan , Hadi Afif Abdul , Satriani Cahya Tifandi , Mahadiraja Fajar Abdi , Octavianus Juan Pablo
Published: February 2025

High Pressure Laminate (HPL) adalah bahan pelapis yang banyak digunakan dalam industri furnitur. salah satu UMKM furnitur yaitu CV. Cahya Interior Decoration (CID) di Desa Purworejo Kecamatan Geger Kabupaten Madiun yang menggunakan HPL sebagai bahan baku utama dalam pembuatan furnitur. Pada proses pembuatan furnitur di CV. CID ada berbagai tahapan produksi yaitu pengukuran, pemotongan, pengeleman, pelapisan HPL, pentusiran, dan perakitan. Dari banyaknya tahapan, tahapan pelapisan merupakan salah satu tahapan krusial dalam pembuatan furnitur, hal ini dikarenakan proses masih dilakukan secara manual dengan scrapper yang mengandalkan daya tekan manusia, terjadi kendala dalam proses pelapisan. Proses ini sering memakan waktu yang cukup lama dan dapat menghasilkan ketidaksempurnaan dan tidak presisi. Sebagai solusi dalam permasalahan tersebut adalah menggunakan teknologi mesin pelapisan HPL. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kualitas hasil furnitur melalui penerapan mesin pelapis HPL. Metode pelaksanaan kegiatan meliputi observasi perencanaan dan persiapan, pelaksanaan, dan evaluasi kegiatan. Hasil dari penerapan teknologi mesin pelapis HPL ini terbukti menghasilkan kualitas yang lebih baik dan lebih rapat dibandingkan dengan yang menggunakan metode konvensional atau manual. Dengan adanya teknologi mesin pelapis HPL ini diharapkan mitra dapat terus berkembang dan mengurangi kesalahan yang mengakibatkan pemborosan HPL dan memberikan solusi yang berkelanjutan.
Risk and Loss Aversion and Attitude to COVID and Vaccines in Anxious Individuals
Authors: Ferrari Filippo , Alexander Jesse , Seriès Peggy
Published: February 2025

Anxious individuals are known to show impaired decision-making in economic gambling task and in everyday life decisions. This impairment can be due to aversion to uncertainty about outcomes (risk aversion) and/or aversion to negative outcomes (loss aversion). We investigate how non-clinical individuals with high levels of Generalised Anxiety Disorder symptoms (GAD) (N = 54) behave compared to less anxious subjects (N = 61) in a gambling decision-making task delivered online and designed to separate the distinct influences of risk and loss aversion on decision-making. By modelling subjects’ choices using computational models derived from Prospect Theory and fitted using Hierarchical Bayesian methods, we estimate individual levels of risk and loss aversion. We also link estimates of these parameters to individual propensity to risk averse behaviours during the COVID pandemic, like wearing safer types of face masks, or completing a COVID vaccination course. We report increased loss aversion in individuals with increased level of GAD compared to less anxious individuals and no differences in risk aversion. We also report no evidence for a link between risk and loss aversion and attitudes towards COVID and vaccines, under the experimental conditions and incentive scheme studied here. These results shed new light on the interplay of anxiety and risk and loss aversion and they can provide useful directions for clinical intervention.
The GigaMIDI Dataset with Features for Expressive Music Performance Detection
Authors: Lee Keon Ju Maverick , Ens Jeff , Adkins Sara , Sarmento Pedro , Barthet Mathieu , Pasquier Philippe
Published: February 2025

The Musical Instrument Digital Interface (MIDI), introduced in 1983, revolutionized music production by allowing computers and instruments to communicate efficiently. MIDI files encode musical instructions compactly, facilitating convenient music sharing. They benefit music information retrieval (MIR), aiding in research on music understanding, computational musicology, and generative music. The GigaMIDI dataset contains over 1.4 million unique MIDI files, encompassing 1.8 billion MIDI note events and over 5.3 million MIDI tracks. GigaMIDI is currently the largest collection of symbolic music in MIDI format available for research purposes under fair dealing. Distinguishing between non‑expressive and expressive MIDI tracks is challenging, as MIDI files do not inherently make this distinction. To address this issue, we introduce a set of innovative heuristics for detecting expressive music performance. These include the distinctive note velocity ratio (DNVR) heuristic, which analyzes MIDI note velocity; the distinctive note onset deviation ratio (DNODR) heuristic, which examines deviations in note onset times; and the note onset median metric level (NOMML) heuristic, which evaluates onset positions relative to metric levels. Our evaluation demonstrates these heuristics effectively differentiate between non‑expressive and expressive MIDI tracks. Furthermore, after evaluation, we create the most substantial expressive MIDI dataset, employing our heuristic NOMML. This curated iteration of GigaMIDI encompasses expressively performed instrument tracks detected by NOMML, containing all General MIDI instruments, constituting 31% of the GigaMIDI dataset, totaling 1,655,649 tracks.
Integrating NLP in Agritech for Advanced Plant Protection and Production
Authors: Shruthi Nedunuri Kavya , Rao N.R.N.V. Gowripathi , Ravat Vikas Kumar , Yadav Ajit Kumar
Published: February 2025

Agriculture and Technology are becoming increasingly inextricably linked on a global basis. Agriculture technology innovations have transformed farming techniques, providing answers to some of the world’s most urgent problems. Precision agriculture, enabled by technology such as GPS, drones, and data analytics, is increasing agricultural yields and reducing resource use. Genetic engineering and biotechnology have resulted in the creation of genetically engineered crops that are resistant to pests and thrive in harsh environments. Organic and regenerative agriculture, for example, are gaining popularity as a result of the desire to safeguard the environment. Furthermore, blockchain technology is improving transparency and traceability throughout the food supply chain. The Natural Language Processing (NLP) is having a big influence in the agricultural sector. NLP is transforming several parts of the business by using the capabilities of language understanding and processing. It aids agricultural monitoring and advising services by evaluating weather reports, research papers, and textual data to provide farmers with real-time advice on optimal planting schedules, pest and disease control, and harvest timing. By analyzing multiple data sources for signals of outbreaks, NLP assists in the early identification of pests and illnesses, allowing farmers to take appropriate preventative actions. It also plays an important role in market analysis and price prediction, analyzing massive volumes of textual market data to give insights into market patterns, price variations, and demand projections. NLP also benefits soil health and nutrient management by analyzing soil data and research materials to provide specific suggestions. Furthermore, NLP aids farm management by summarizing complicated data from several sources and helps with language translation and localization, making agricultural information available globally. Furthermore, NLP-powered chatbots and virtual assistants give rapid access to agricultural assistance, increasing farmers’ accessibility and convenience. Overall, NLP’s many agricultural applications contribute to more efficient, sustainable, and informed farming operations by bridging the gap between textual data and practical insights.
Effect of various herbicide combination on physiological parameters yield and economics of Groundnut (Arachis hypogaea L.)
Authors: Rangare Sanskriti , Kr. Kanaujiya Pradeep , Rajput Pradeep , Parashar Aman , Sharma Jaidev
Published: February 2025

To study the Effect of various herbicides combination on physiological parameters Yield and economics of Groundnut (Arachis hypogaea L.) a field experiment was conducted at the Crop Research Centre, School of Agriculture, ITM University Gwalior, Madhya Pradesh, during the Kharif season of 2023. The experiment was laid out in a randomized block design (RBD) with 10 treatment combinations and each treatment was replicated thrice. The results of the experiment revealed that among all the herbicide treatments preemergence application of Pendimethalin 30% EC@ 1250 g ha-1 (PE)fb hand weeding at 40 DAS stage recorded higher values of crop dry matter accumulation (g m- ²). The physiological growth parameters such as mean crop growth rate (g m- ² day-1) and mean relative growth rate (mg g-1 day-1) significantly responded to herbicide application over the weedy check (control). However, higher grain yield (1671 kg ha- ¹), haulm yield (2856.75 kg ha-1), harvest index (36.91), gross return (Rs. 14080.67 ha- ¹), net return (Rs.95457.84 ha- ¹) and B:C ratio (Rs. 2.10 re- ¹ invested) were recorded with application of Pendimethalin 30% EC@ 1250 g ha1 (PE)fb hand weeding at 40 DAS stage.
Ansiedad, depresión y su incidencia en el rendimiento académico de estudiantes universitarios
Authors: Gómez López Mónica Patricia , Jovel López Daniela Alejandra , Valiente Martínez Ingrid Carolina , Lobos Rivera Marlon Elías
Published: February 2025

En el ámbito universitario, la ansiedad y la depresión son psicopatologías que están presenten en los estudiantes universitarios, las cuales pueden perjudicar el desempeño académico. Este artículo académico busca evidenciar cómo la presencia de ansiedad y depresión influye en el rendimiento académico de los estudiantes universitarios. Para tal propósito se realizó una revisión de distintos autores que comprueben que la ansiedad y depresión son las principales psicopatologías relacionadas con el bajo desempeño educativo debido a su sintomatología. Además, se abordan otros factores psicológicos, incluidos el estrés y el burnout. Asimismo, aspectos como el entorno familiar, el factor económico y la relación activa y colaborativa entre el estudiante y el docente. A su vez, se propone el fracaso estudiantil como consecuencia del bajo desarrollo educativo. Se corrobora tanto la relación entre la ansiedad y la depresión como su incidencia en el rendimiento académico en estudiantes de educación superior.
SULFIDE TEXTURES AND ORE GRADES IN MINERALIZED CARBONATES DEPEND ON PÉCLET AND DAMKÖHLER NUMBERS
Authors: Berger Peter M. , Magnall Joseph M. , Kühn Michael , Gleeson Sarah A.
Published: February 2025

Clastic-dominated (CD-type) deposits contain a significant proportion of the global resources of Zn, Pb, and Ag, and include some of the largest deposits that formed through subseafloor replacement. Mineralization textures in these deposits can be highly variable, and the physical properties that control these textures are poorly defined. The style of dissolution in carbonate units can be described by dimensionless parameters (Péclet and Damköhler numbers) that represent fundamental properties of reacting flow systems. Using reaction transport modeling of a CD-type deposit, this work investigates the relationships between Péclet and Damköhler numbers with textures and ore grades. In 1-D and 2-D simulations, a metalliferous brine was reacted with a host rock at variable rates of fluid flow and dolomite dissolution, resulting in different mineralization textures depending on the spatial relationship of the inflowing brine to the reaction front and the flow and dolomite dissolution rate. Ahead of the front, disseminated textures developed at low Damköhler numbers. At, or behind, the front where the Damköhler number was higher, massive or interfingered textures formed, depending on the Péclet number. The shift between massive (higher-grade) to interfingering to disseminated (lower-grade) mineralization led to a correlation between Damköhler and Péclet numbers with ore grade. The models presented here demonstrate the association between mineral kinetics and flow rate with mineralization textures. Therefore, understanding the implications of Damköhler and Péclet numbers can help in interpreting textures on a hand-sample to outcrop scale and patterns of grade and ore geometry.
The impact of pedagogical referendariat on beginning teachers' professional development: A case study of Kazakhstan
Authors: Yespolova Gulden , Tanirbergen Aidana , Sharipkhanova Anargul , Bazarbek Bagi , Nurgaliyeva Saniya
Published: February 2025

Professional development of beginning teachers is one of the most important issues of our time. Studies on the professional development of beginning teachers often focus on assessing the value and motives for choosing a profession. Although the pedagogical referendariat program has the potential to develop essential pedagogical competencies for beginning teachers, this issue has not received enough attention in the literature to date. To solve this problem, a deeper understanding of how the pedagogical referendariat contributes to the optimization of beginning teachers' entry into the teaching profession, their professional development, and the generation of modern teaching ideas is needed. The study aims to assess the impact of the pedagogical referendariat program on beginning teachers' professional development and how it shapes their core pedagogical competencies. The program was created to offer beginning teachers high-quality assistance with their successful professional development, professional growth, and entry into the teaching profession. The findings demonstrate the effectiveness of the intervention in providing high-quality support for their successful professional development and professional advancement. It was found that after finishing the PRP, teachers' perceptions of their key pedagogical competency development in various areas are depicted by the improved results. It is determined that the pedagogical referendariat can offer a chance to create a logical and transparent policy for working with beginning teachers, in addition to a thorough examination of the situation of the domestic teaching corps. The application of the research to Kazakhstan's educational setting is particularly noteworthy and adds an important dimension to the broader discourse on supporting beginning teacher training.
Plasma Medicine: Innovative Methods of Diagnosis and Treatment of Chronic Wounds and Oncological Diseases
Authors: Titarenko Iurii
Published: February 2025

This paper examines the contemporary landscape and future potential of plasma medicine as a transformative branch of healthcare innovation. Centered on the use of cold atmospheric plasma, this emerging field has demonstrated remarkable effectiveness in treating chronic wounds, combating multidrug-resistant pathogens, managing dermatological and oncological conditions, and sterilizing medical instruments and surfaces. Emphasis is placed on understanding the mechanisms of action -especially the generation of reactive oxygen and nitrogen species that selectively target pathogenic microbes and cancer cells. International research findings further affirm the promising integration of plasma technologies into modern medical practice, highlighting both its benefits and challenges, along with its social and economic implications. Moreover, the rapid evolution of plasma medicine is opening new avenues for treatment strategies that may complement existing therapies to improve patient outcomes. Researcher explores innovative combinatory approaches and refining protocols to maximize clinical efficacy, ensuring that this technology can be standardized and broadly applied. These advancements position plasma medicine as a pivotal development in addressing complex global health challenges with safe, effective, and forward-thinking solutions. Ongoing research into plasma medicine is further enhanced by collaborative efforts among scientists, clinicians, and engineers. Their work is refining plasma device technology, standardizing treatment protocols, and deepening the understanding of cellular responses, which is crucial for optimizing therapeutic outcomes and ensuring the safe, widespread adoption of plasma-based interventions globally.
Marker Gene-Guided Graph Neural Networks for Enhanced Spatial Transcriptomics Clustering
Authors: Liu Haoran , Lin Xiang , Wei Zhi
Published: February 2025

Article
Marker Gene-Guided Graph Neural Networks for Enhanced Spatial Transcriptomics Clustering

Haoran Liu 1 , Xiang Lin 2 and Zhi Wei 1,*

1 Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102, USA
2 Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
∗ Correspondence: zhiwei@njit.edu

Received: 13 December 2024; Revised: 5 January 2025; Accepted: 10 January 2025; Published: 7 February 2025

Abstract: Recent advancements in Spatial Transcriptomics (ST) technologies have enabled researchers to investigate the relationships between cells while simultaneously considering their spatial locations within tissue. These technologies facilitate the integration of gene expression data with spatial information for clustering analysis. While many clustering methods have been developed, they typically rely on the dataset’s intrinsic features without incorporating domain knowledge, such as marker genes. We argue that incorporating marker gene information can enhance the learning of cell embedding and improve clustering outcomes. In this paper, we introduce MGGNN (Marker Gene-Guided Graph Neural Networks), a novel approach designed to enhance spatial transcriptomics clustering. Firstly, we train the model using a contrastive learning framework based on a Graph Neural Network (GNN). Subsequently, we fine-tune the model using a few spots labeled by the expression of marker genes. Simulation and experiments conducted on two real-world datasets demonstrate the superior performance of our model over state-of-the-art methods.
Financial Inclusion and Economic Growth: Evidence from SAARC countries
Authors: Annemalla Ramesh
Published: February 2025

In order to improve the calibre, scope, and effectiveness of financial intermediary services and consequently support the larger financial development process, financial inclusion (FI) is essential. This study assesses the level of financial inclusion in SAARC countries and looks at how it affects economic growth in these nations. Twelve variables are included in the analysis, including four control variables (government spending, trade, investment, and consumption expenditure) and eight banking indicators. According to the research, over 27% of people in SAARC nations do not have access to standard financial services, meaning that a sizable section of the population is still unbanked. There are just 66 borrowers for every 1,000 adults, which indicates a very low banking penetration rate. Afghanistan, Bangladesh, Nepal, Pakistan, and Sri Lanka all have developing but relatively low levels of financial inclusion (FI), while the Maldives, India, and Bhutan are the SAARC countries with the highest levels. The findings highlight the importance of financial inclusion in promoting economic growth by showing that seven of the twelve indicators are positively and statistically significant. The study comes to the conclusion that SAARC countries' economic growth is positively impacted by financial inclusion. Direct benefit transfers (DBT) are one example of a policy intervention that could improve banking access for underbanked people, especially vulnerable ones, and encourage inclusive economic growth. Additionally, FI's ability to lessen income inequality and promote sustainable economic growth is demonstrated by the good correlation it has with South Asia's economic growth.
JEL Classification: G21, G23, G28, O16.
Psicose puerperal
Authors: Silva André Costa da , Ribeiro Francisco Jordano da Silva Feitosa , Brito Ana Karolina Alves , Ferreira Alexandre Magno dos Santos , Martiniano Felipe Santos Teixeira , Lopes Vanessa Ribeiro , Guedes Ana Carolina Câmara Silva , Luz Graciely dos Santos da , Zampieri Bruno , Radtke Ana Carolyne Portela
Published: February 2025

Após o nascimento do concepto inicia o período puerperal e continua por oitos semanas, sendo marcado por uma variabilidade de hormônios e alterações fisiológicas que podem ocasionar sofrimento psicológico. A psicose puerperal é a manifestação mais grave de quadros depressivos, tendo como principal sintoma alucinação. Esse estudo tem como objetivo catalogar e demonstrar as pesquisas acerca da psicose puerperal disponíveis na íntegra de forma gratuita. Trata-se de um estudo quantitativo-qualitativo no formato de revisão integrativa da literatura, utilizando descritores em ciência de saúde (DECS) na base de dados Biblioteca Virtual em Saúde, utilizando filtros de acordo com os critérios de inclusão e exclusão. Inicialmente, foram encontrados 571 estudos utilizando apenas os DECS, ademais, 23 trabalhos foram selecionados baseando-se nos filtros, sendo estes catalogados em formato de tabela demonstrando os objetivos, autores, anos e título, para assim facilitar a compreensão acerca da temática. Sendo a psicose puerperal um problema de saúde pública, faz-se necessário a implementação de ações afirmativas que ajudem as mulheres para a humanização da saúde.
Spatial variability of forest soil properties studied using multivariate and geostatistical analysis
Authors: Goergen Laura Camila de Godoy , Narvaes Igor da Silva , Miquelluti David José , Campos Mari Lucia , Chang Scott , Matias Caroline Aparecida
Published: February 2025

The objectives of this work were to identify groups of physical and chemical properties of an Inceptisol in a stand of Eucalyptus benthamii in a commercial plantation for management purposes using multivariate analysis, and to analyze the spatial continuity of the groups identified. Soil samples were collected based on a grid of spaced points of 70 x 70 m. A descriptive study characterized the distribution of the edaphic variables followed by an exploratory factor analysis to reduce the dimensionality of the data set and geostatistical analysis to estimate the degree of spatial dependence. From the exploratory factor analysis, three axes were selected and explained about 70% of the total variability of the data set, identifying a group of variables that correlated with structure, fertility and acidity. For those factors that presented spatial dependence, thematic maps were used to identify regions with different levels of soil fertility. The combination of multivariate and geostatistical analysis is useful for analysis of the spatial variability of soil attributes and for generating recommendations for forest management.
(In)aplicabilidade: estado de coisas inconvencional ambiental e o Peru
Authors: Silva Alline Luiza de Abreu , Moreira Rafael da Silva , Naves Raphael de Andrade , Ribeiro Carlos Barbosa
Published: February 2025

A presente pesquisa possuí o objetivo de examinar o papel do constitucionalismo transformador interamericano e a possibilidade de moldar um conceito de estado de coisas inconvencional em matéria ambiental no Estado do Peru com relação à recente condenação que o Estado sofreu em virtude de graves violações à Convenção Americana de Direitos Humanos. A metodologia utilizada para o desenvolvimento deste trabalho baseou-se na reunião e avaliação de material bibliográfico específico sobre a temática, incluindo livros, artigos acadêmicos e decisões da Corte Interamericana de Direitos Humanos (Corte IDH) e do Tribunal Constitucional do Peru. O procedimento adotado foi a revisão bibliográfica, conduzida de forma descritiva e crítico-interpretativa, permitindo uma análise aprofundada dos aspectos teóricos e normativos da usucapião familiar. Dessa forma, buscou-se entender o fenômeno discutido, através da análise dos elementos caracterizadores do estado de coisas inconstitucional e inconvencional, e a recepção de tais mecanismos jurídicos no ordenamento jurídico peruano, a fim compreender se há a possibilidade de aplicabilidade do estado de coisas inconvencional em matéria ambiental, em razão de violação às normas e tratados internacionais de proteção ao meio ambiente e aos direitos humanos, à luz da ODS n.13 estabelecida pela ONU, que visa tomar medidas para combater as mudanças climáticas e proteger os ecossistemas.
A usucapião familiar e a reforma do Código Civil
Authors: Silva Alline Luiza de Abreu , Moreira Rafael da Silva , Naves Raphael de Andrade , Ribeiro Carlos Barbosa
Published: February 2025

O presente artigo analisa o instituto da usucapião familiar no direito brasileiro, introduzido pela Lei nº 12.424/2011, que acrescentou o artigo 1.240-A ao Código Civil. O estudo aborda a evolução histórica do instituto, desde suas origens no Direito Romano até sua configuração atual no ordenamento jurídico brasileiro, destacando sua natureza jurídica mista, que combina elementos de aquisição originária da propriedade com a proteção à moradia e ao direito de família. São discutidas as principais controvérsias doutrinárias e os aspectos relacionados à usucapião familiar no contexto da reforma do Código Civil, especialmente quanto à questão do "abandono do lar" e sua relação com a culpa pelo fim do relacionamento conjugal, tema que ganhou novos contornos após a Emenda Constitucional nº 66/2010. A metodologia utilizada foi a revisão bibliográfica focada no Código Civil e em estudos científicos obtidos por meio das plataformas Scielo, Google Acadêmico e demais trabalhos disponibilizados em plataformas de pesquisa. Concluiu-se que, apesar das controvérsias e desafios em sua aplicação, a usucapião familiar representa um importante avanço na proteção dos direitos fundamentais à moradia e à dignidade da pessoa humana no âmbito das relações familiares, especialmente como instrumento de regularização patrimonial e promoção da justiça social.