bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALYSIS OF THE PHARMACEUTICAL MARKET OF UKRAINE THROUGH THE PRISM OF THE INDUSTRY'S IMPACT ON THE NATIONAL ECONOMY
Authors:   International Humanitarian University, Liashenko-Shcherbakova Valeria
Published: January 2025

The scientific article analyzes the pharmaceutical market of Ukraine for the period 2010-2024. The dynamics of market development and factors that influence it (namely legal, economic, political and social) are analyzed. The impact of the pharmaceutical industry on the national economy of Ukraine is assessed through the indicator of contribution to GDP and the creation of jobs. The volume of the market of medicines and pharmacy sales was investigated. Various segments of the pharmaceutical market have been analyzed, in particular prescription and over-the-counter drugs, biological and generic drugs, and the price segment. The structure of the pharmaceutical market by participants is analyzed. The retail market (pharmacy segment) was investigated. Key national pharmaceutical manufacturers and their market share are identified. The indicators of import-export activity in the market are estimated. The main importing countries and characteristics of the import of the pharmaceutical market are determined. Today, the pharmaceutical industry creates more than 50 thousand jobs in various sectors of the national economy: production, research, distribution and retail, which makes it socially important. The contribution of the pharmaceutical industry to Ukraine's GDP is about 1-1.5% of GDP. It is determined that Ukrainian pharmaceutical branch remains import-dependent, since there is still a high dependence on imported active pharmaceutical ingredients. Pharmaceutical imports in Ukraine make up a significant part of the total market, in particular in the segments of prescription drugs, vaccines, innovative drugs and specialized medical products. There is also a significant integration of the pharmaceutical market with the European market, which leads to an improvement in the quality of domestic pharmaceuticals and goods through the harmonization of production standards. It is established that in conditions of war and economic instability, the industry was able to adapt, maintaining the level of employment and ensuring the need for pharmaceutical goods and products, which made it less vulnerable to economic fluctuations.
New species of Phyllophaga Harris (Coleoptera: Melolonthidae: Melolonthinae) from the state of Jalisco, México
Authors:   Instituto de Ecología, A. C., Morón Miguel Ángel , Nogueira Guillermo ,   universidad Nacional Autónoma de Guadalajara
Published: January 2025

Se describen Phyllophaga (s.str.) tamatziana n. sp. y P. kayaumariana n. sp., encontradas en los bosques mixtos con encinos y pinos de la Sierra de Talpa, Jalisco;y P. muwieriana n. sp., colectada en pinares y encinares de las regiones de Mixtlán y Tecolotlán, Jalisco, México. Se incluyen comentarios sobre sus diferencias con otras especies mexicanas de Phyllophaga, ilustraciones de los habitus dorsales y laterales, así como de algunos caracteres diagnósticos, sobre todo de estructuras genitales hipertrofiadas
A Rich High-Order Mutation Testing Dataset for Software Fortification
Authors: Nguyen Quang-Vu
Published: January 2025

High-order mutation (HOM) testing is a rigorous technique for evaluating the effectiveness of test suites by introducing mutations with multiple concurrent faults into the source code. In this study, we present the development and analysis of a comprehensive dataset tailored for HOM testing purposes. The dataset comprises 2,839,792 instances categorized into Survived and Killed classes, representing instances correctly identified as surviving and not surviving the mutation testing process, respectively. We employ four prominent machine learning algorithms—Logistic Regression, Random Forest Classifier, LightGBM, and XGBoost—to classify instances within these categories. Experimental results demonstrate varying levels of accuracy, precision, recall, and F1-score across the algorithms, with LightGBM and XGBoost exhibiting superior performance. These findings underscore the importance of high-quality datasets in facilitating effective HOM testing and provide valuable insights into the capabilities of machine learning algorithms in this context.
INFLUENCE OF DIETARY INCORPORATION OF MORINGA (MORINGA OLEIFERA) LEAF MEAL IN DIETS OF BROILER CHICKENS ON GROWTH PERFORMANCE AND ECONOMIC BENEFITS
Authors: Millam Jacob Jafiya , Ishaya A. , Midau A. , Babale M. D. , Abbaya H. Y. , Ahmed M.
Published: January 2025

Consuming enough high-quality protein is essential for a long and healthy life. Because of their high-quality protein content, broiler chickens are a valuable food source that can support optimum growth and development and assist in address dietary deficiencies in Nigeria. The experiment was carried out at Adamawa State University Teaching and Research Farm, Mubi to evaluate the effects of diets containing varying levels of moringa (Moringa oleifera) leaf meal (MoLM) on growth performance and cost benefits fed to broiler chickens. The broiler chicks were purchased and maintained on a deep-litter system throughout the study. Fresh Moringa oleifera leaves were shed-dried and pulverised into fine particles. The powder was incorporated into the diets at 0, 0.5, 1, 1.5 and 2 g/kg denoted as control, 0.5MoLM, 1MoLM, 1.5MoLM and 2MoLM, respectively. The birds were randomly allotted to the different diets in a completely randomised design. Data collected during the study were: weight gain, feed intake, feed conversion ratio and the cost benefits of feeding MoLM-based diets. Significant (p<0.05) results were observed for most growth performance parameters. Weight gain and feed intake were high in the control followed by 2MoLM (1023.00 and 2825.80 g, respectively). The FCR was least for 1.5MoLM (2.37) compared to the control diet. The 1.5MoLM ensured a higher cost saving amongst the other diets. Mortality was reduced with increased levels of MoLM. It can therefore be agreed from this study that the inclusion of 1.5 g/kg MoLM in broiler chicken diets promoted better feed efficiency and more cost saving.
Визначення сутності поняття професіоналізму у соціально-психологічному вимірі
Authors: Ткаченко Наталія
Published: January 2025

У статті розглянуто різні визначення щодо поняття професіоналізм з психологічної та соціальної точок зору, а також на основі акмеологічних теорій. На основі узагальнення теоретичних підходів різних авторів, проведеного семантичного аналізу та контент аналізу обрано ключові складові характеристики професіоналізму та надано авторське визначення даного терміну. Професіоналізм є складною категорією, яка містить в собі сукупність компонентів професії. Такі компоненти відрізняються з врахуванням специфіки та особливостей різних професій. Така інтегральна характеристика є динамічною системою знань, умінь і психологічних характеристик та психічних функцій, яка поступово формується і є результатом розвитку навичок, наявності спеціальних знань, вмінь, якостей. Виходячи із розглянутих визначень можливо визначити характерні ознаки професіоналізму та притаманні особистості-професіоналу риси та переваги. Кожна професійна сфера діяльності має свої особливості щодо професіоналізму, з урахуванням функціональних особливостей певного виду діяльності, технічних характеристик. Безумовно, професіоналізм буде включати в себе складові таких видів діяльності. Проте, це потребує окремого дослідження і може бути розглянутим в наступних публікаціях.
Ключові слова: особистість, професіоналізм, професійна діяльність, види діяльності, компетентності.
Pengembangan Media Animasi Interaktif Berbasis Kearifan Lokal Budaya Sumang di Gayo sebagai Upaya Penanaman Nilai Karakter pada Anak Usia Dini
Authors: Salpina Salpina , Adhinda Junaidi Putri Dwi , Amna
Published: January 2025

Sumang merupakan perpaduan budaya lokal dan ajaran Islam. Masyarakat Gayo menjadikan sumang sebagai aturan tata krama dan sopan santun. Namun dinamika kehidupan masyarakat Gayo mulai mengalami pergeseran yang disebabkan oleh kurangnya kepedulian generasi terhadap budaya leluhur dan kurangnya kepedulian orang tua/guru dalam mengebalkan budaya. Tujuan penelitian ini adalah untuk (1) menanamkan nilai-nilai karakter yang terkandung dalam budaya Sumang, (2) merancang media animasi interaktif berbasis kearifan lokal budaya Sumang di Gayo, (3) menganalisis perubahan karakter anak usia dini setelah pengenalan budaya Sumang menggunakan media animasi interaktif. Penelitian ini menggunakan metode Research and Development (R&D) dengan desain model 4D (Define, Design, Develop, Dessemination). Pengumpulan data menggunakan wawancara, observasi dan angket. Hasil penelitian menunjukkan bahwa media animasi interaktif berbasis budaya Sumang mendapat respon yang baik dari guru dan siswa serta menunjukkan adanya peningkatan skor karakter anak usia dini setelah menggunakan media animasi interaktif yaitu skor pretest sebesar 4,12 sedangkan pada posttest sebesar 9,4.
Studi Analisis Kebutuhan Stimulasi Kemampuan Motorik Anak Usia Dini
Authors: Retno Lestari Anindra , Yuandana Tarich , Fitriyono Angga
Published: January 2025

Penelitian ini bertujuan untuk menganalisis kebutuhan stimulasi kemampuan motorik anak usia dini yang diperlukan bagi anak pada lembaga Pendidikan Anak Usia Dini di Kabupaten Bangkalan. Metode yang digunakan dalam penelitian ini adalah metode kualitatif dengan pendekatan studi kasus. Teknik pengumpulan data dilakukan melalui observasi, wawancara, dan dokumentasi. Analisis data menggunakan teknik pengumpulan data awal, reduksi data, penyajian data, dan penarikan kesimpulan. Temuan utama mengungkapkan bahwa penelitian tentang analisis kebutuhan kemampuan stimulasi motorik anak usia dini di kabupaten Bangkalan menunjukkan adanya tingkat variasi kebutuhan antar anak. Hasil kemampuan tersebut menunjukan hasil yang baik, selain itu faktor pendukung diantaranya fasilitas, kondisi fisik, program motorik dan pembelajaran yang diberikan oleh pendidik. Oleh karena itu, dapat disimpulkan bahwa pentingnya memberikan pemenuhan kebutuhan yang sesuai untuk menstimulasi kemampuan motorik anak melalui pemberian stimulasi dan ketersediaan fasilitas yang memadai serta memberikan layanan pembelajaran yang tepat untuk mendukung ketercapaian perkembangan motorik anak usia dini.
Kata kunci: Analisis kebutuhan, Stimulasi, Motorik, Anak Usia Dini
Retensi Informasi Berbasis Aksesibilitas Buku Non-Teks Cerita Bergambar Dalam Meningkatkan Hasil Belajar Peserta Didik Sekolah Dasar
Authors: Sukniasih  , Sarwi  , Sudarmin  , Nur Cahyono Adi
Published: January 2025

Penelitian ini bertujuan untuk mengetahui bagaimana Retensi Informasi siswa melalui pengembangan aksesibilitas buku non-teks sebagai media pembelajaran untuk meningkatkan pencapaian hasil tujuan pembelajaran pada siswa sekolah dasar kelas rendah yaitu kelas 1. Metode penelitian yang di gunakan menggunakan metode literature  review atau  tinjauan  pustaka. Literature review merupakan kegiatan yang fokus terhadap sebuah topik spesifik yang menjadi minat untuk dianalisis secara kritis terhadap isi naskah  yang  dipelajari. Literature review ini  menggunakan  literatur  terbitan  tahun 2017-2024 yang dapat diakses fulltext dalam format pdf dan scholarly (peer reviewed journals) dengan menggunakan google schoolar dalam aplikasi Publish  or  Perish (PoP), penelitian ini mengeksplorasi bagaimana buku non-teks dapat diakses dan digunakan oleh siswa, serta dampaknya terhadap motivasi dan hasil belajar. Hasil penelitian menunjukkan bahwa penggunaan buku non-teks yang dirancang dengan baik dapat meningkatkan keterlibatan siswa dan hasil belajar.
Fast Projected Bispectra: the filter-square approach
Authors: Harscouet Lea , Cowell Jessica A. , Ereza Julia , Alonso David , Camacho Hugo , Nicola Andrina , Slosar Anže
Published: January 2025

The study of third-order statistics in large-scale structure analyses has been hampered by the increased complexity of bispectrum estimators (compared to power spectra), the large dimensionality of the data vector, and the difficulty in estimating its covariance matrix. In this paper we present the filtered-squared bispectrum (FSB), an estimator of the projected bispectrum effectively consisting of the cross-correlation between the square of a field filtered on a range of scales and the original field. Within this formalism, we are able to recycle much of the infrastructure built around power spectrum measurement to construct an estimator that is both fast and robust against mode-coupling effects caused by incomplete sky observations. Furthermore, we demonstrate that the existing techniques for the estimation of analytical power spectrum covariances can be used within this formalism to calculate the bispectrum covariance at very high accuracy, naturally accounting for the most relevant Gaussian and non-Gaussian contributions in a model-independent manner.
PENGEMBANGAN MEDIA PEMBELAJARAN BERBENTUK KOMIK MATEMATIKA MENGGUNAKAN MODEL PROBLEM BASED LEARNING (PBL) UNTUK MENINGKATKAN KEMAMPUAN KOMUNIKASI MATEMATIS SISWA SMP
Authors: Jazuli Samara Alifa , Syafmen Wardi , Falani Ilham
Published: January 2025

Kemampuan komunikasi matematis penting dimiliki oleh siswa Indonesia. Melalui hasil survey PISA oleh siswa Indonesia kemampuan komunikasi matematis siswa Indonesia masih tergolong rendah. Upaya meningkatkan kemampuan komunikasi matematis dapat dilakukan melalui penggunaan media pembelajaran berbentuk komik matematika menggunakan model Problem Based Learning (PBL) untuk meningkatkan kemampuan komunikasi matematis siswa. Tujuan dilakukan penelitian ini untuk mengetahui kualitas komik matematika menggunakan model PBL dalam meningkatkan kemampuan komunikasi matematis siswa ditinjau dari kevalidan, kepraktisan dan keefektifan. Metode yang digunakan pada penelitian ini yaitu Research and Development menggunakan model ADDIE (Analysis, Design, Development, Implementation and Evaluation). Hasil yang diperoleh pada penelitian ini yaitu perolehan persentase validasi materi sebesar 82,6% dengan kategori “sangat valid”, perolehan persentase validasi desain sebesar 74,28% dengan kategori “valid”, perolehan persentase praktikalitas guru sebesar 94% tergolong “sangat praktis”, perolehan persentase praktikalitas siswa sebesar 85,26% dengan kategori “sangat praktis”, perolehan persentase efektifitas respon siswa sebesar 83,04% dengan kategori “sangat efektif” dan perhitungan N-gain dalam peningkatan kemampuan literasi matematis siswa sebesar 74% dengan kategori “cukup efektif”. Maka disimpulkan bahwa dalam penelitian ini menunjukan komik matematika menggunakan model PBL dalam meningkatkan kemampuan komunikasi matematis siswa layak digunakan ketika proses pembelajaran karena memenuhi kategori valid, praktis dan efektif.
PENERAPAN MODEL COURSE REVIEW HORAY TERHADAP PENINGKATAN KEMAMPUAN PEMECAHAN MASALAH MATEMATIS SISWA
Authors: Zahara Sella , Irfan Ade , Musriandi Riki
Published: January 2025

Tujuan penelitian ini untuk mengetahui perbedaan peningkatan kemampuan pemecahan masalah matematis siswa yang diajarkan menggunakan model pembelajaran CRH dengan model pembelajaran konvensional dan untuk mengetahui peningkatan kemampuan pemecahan masalah matematis menggunakan model pembelajaran CRH dikelas XII. Jenis penelitian yang digunakan pada penelitian ini adalah penelitian kuantitatif dengan metode Quasi Eksperimen. Sampel dalam penelitian ini yaitu seluruh siswa kelas XII MIA 1 dan XII MIA 3 yang masing-masing kelas terdiri dari 34 siswa di SMAN 1 Baitussalam, Aceh Besar. Hasil uji independent t-tes yang di dapat adalah 0,000 yang berarti 0,05, sehingga Ho ditolak dan Ha diterima yang artinya terdapat peningkatan hasil belajar matematika menggunakan model Course Review Horay pada kelas XII di SMA Negeri 1 Baitussalam. Selanjutnya, dari perhitungan uji N-Gain skor di dapat hasil dari kelas eksperimen adalah 0.77% (Tinggi), sedangkan dari kelas kontrol adalah 52% (Sedang). Selanjutnya, hasil uji hipotesis kedua menggunakan uji One Sampel T-Tes diperoleh nilai signifikansi sebesar 0,050 ≥ 0,05 dan diperoleh nilai rata-rata N-Gain 0.77, Maka hipotesis alternatif (Ho) diterima dan (Ha) ditolak, Ini menunjukkan bahwa Rata-rata skor N-Gain kemampuan pemecahan masalah matematis siswa dengan menggunakan Model Pembelajaran Course Review Horay ≥ 0,7 dan tergolong tinggi.
NILAI FILOSOFIS DAN POLA GEOMTERIS ORNAMEN KLENTENG HOK TIK BIO: SEBUAH STUDI ETNOMATEMATIKA
Authors: Hapsari Mega Ayu Putri , Fitriani Devi Arifia , Zuliana Eka
Published: January 2025

Penelitian ini bertujuan untuk mengeksplorasi Klenteng Hok Tik Bio yang ditinjau dari nilai filosofis dan segi geomteri melalui etnomatematika. Metode yang digunakan pada penelitian ini adalah kualitatif dengan pendekatan jenis Etnografi. Pengumpulan data diperoleh dengan cara observasi, wawancara, dan dokumentasi. Teknik analisis data yang digunakan dimulai dari reduksi data, memaparkan, dan menyimpulkan. Penelitian ini dapat disimpilkan bahwa Klenteng Hok Tik Bio di Kudus melalui pendekatan etnomatematika efektif dalam memperkenalkan konsep refleksi, rotasi, dilatasi, dan translasi melalui elemen budaya yang nyata. Selain meningkatkan pemahaman matematika, pendekatan ini memperkaya apresiasi siswa terhadap budaya lokal, menghubungkan matematika dengan kehidupan sehari-hari.
Relation of ventricular fibrillation threshold to heart rate during normal ventilation and hypoventilation in female Wistar rats: chronophysiological study.
Authors: Švorc P , Bračoková I , Podlubný I
Published: January 2025

The aim of our study was to verify the relationship between heart rate (HR) and ventricular fibrillation threshold (VFT) during different types of ventilation in female Wistar rats from the circadian point of view. The ex-periments were performed under pentobarbital anesthesia (40 mg/kg i.p., adaptation to a light-dark cycle 12:12 h, open chest experiments) and the obtained results were averaged independently of the seasons. The VFT measure-ments were performed during normal ventilation (17 animals) and hypoventilation (10 animals). The HR was re-corded immediately before the rise of ventricular arrhy-thmias. Results are expressed as arithmetic means ± S.D. and differences are considered significant when p<0.05. The basic pe-riodic characteristics were calculated using single and population mean cosinor tests. The results from our experiments have demonstrate that 1) the VFT and HR respond identically to hypoventilation by a decrease in the light and also in the dark phases, and 2) hypoventilation changes the 24-h course of the VFT without a change in the 24-h rhythm of the HR. It is concluded that the HR and VFT behave as two independent functional systems without apparent significant circadian dependence during both types of ventilation.
RELIABLE AND BALANCED DISTRIBUTION BASED CROWD SOURCING TASK ASSIGNMENT (RBCDR)
Authors:   Former Assistant Professor, Department of Computer Science, Fatima College, Madurai, Tamilnadu, India, G Rajathilagam
Published: January 2025

Internet-of-Things (IoT) is incorporated with
enormous items that fixed with software, electronics
and sensors. It has diverse application domains, namely
smart homes, smart grids and smart cities. The sensor
devices integrated with IoT, which operates as robot
system to execute data collection work. The Internet-ofThings monitors, detects and collects reports on objects
and devices. There are three key problems in the crowd
sourcing network, namely coordinating report selectors,
ensuring the Quality of Service (QoS) of time declining
tasks and proving reliability. While the network has an
effective report collection system, it still faces reliability
challenges. Since, IT sensing devices have increased the
relationship for performing the task is important. In
this study, a novel framework named Reliable and
Balanced Distribution based Crowd Sourcing Task
Assignment (RBCDR) has been proposed. This
proposed study checks whether the information
provided by data collectors have reliability. This
technique also reduces the cost of data selection and
improves the system profit while compared with the
previous methods. Experimental results define that
compared with the existing works; likely Collaborative
Multi task Data Collection Scheme (CMDCS), Task
Unit Bid Spatial Coverage and Post Contribution
Density (TUBSC_PCD) and Random Task selection
with Contribution Density Reporter selection (RTCDR),
the performance of the system is increased by 98.3%.
SATELLITE IMAGE ANALYSIS USING CONVOLUTIONAL NEURAL NETWORK
Authors:   Electronics and Communication Ahalia School of Engineering and Technology, Palakkad, Kerala, India, S Amritha , G Gana ,   Electronics and Communication Ahalia School of Engineering and Technology, Palakkad, Kerala, India, N Khadija ,   Electronics and Communication Ahalia School of Engineering and Technology, Palakkad, Kerala, India, V Vindhyajal ,   Electronics and Communication Ahalia School of Engineering and Technology, Palakkad, Kerala, India, Balamurugan Dr. V. ,   HOD, Electronics and Communication Ahalia School of Engineering and Technology, Palakkad, Kerala, India
Published: January 2025

Satellite image analysis plays a pivotal role in
monitoring and understanding various Earth processes,
including environmental changes, urban expansion, and
natural disasters. In recent years, Convolutional Neural
Networks
(CNNs) have emerged as powerful tools for image
processing tasks, making them highly effective for
satellite image analysis. This project explores the
application of CNNs to classify, detect, and segment
features in satellite imagery. By leveraging CNN
architectures, the project aims to improve the accuracy
and efficiency of extracting meaningful patterns and
insights from high-dimensional satellite data. Our
approach includes training CNN models on labeled
datasets, tuning hyperparameters, and evaluating
performance across different landscape types. The
results demonstrate the potential of CNN-based models
to support real-time satellite image analysis, providing
valuable insights for fields such as environmental
monitoring, agriculture, and disaster management.
ZENFI: A UNIFIED PLATFORM FOR PRODUCTIVITY AND RELAXATION
Authors:   Department of Computer Science & Engineering Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh, India, Dewangan Amit , Jha Arjit ,   Department of Computer Science & Engineering Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh, India, Shrivastav Prof. Smita ,   Department of Computer Science & Engineering Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh, India
Published: January 2025

In today's demanding world, achieving both
productivity and mental well-being is paramount. Lo-fi
music has been shown to boost motivation and creativity,
enhancing mood and mindset. With its soothing and
repetitive nature, lo-fi music is believed to trigger
dopamine release, enhancing focus and cognitive function.
Productivity tools streamline tasks, reducing stress and
ensuring important responsibilities are met. ZenFi offers a
unified platform where users can seamlessly transition
between focused work and relaxation, integrating lo-fi
music and productivity tools. By empowering users to
cultivate environments that balance focus and relaxation,
ZenFi transforms daily routines for enhanced mental wellbeing and productivity.
CHROMATIC NUMBER OPTIMIZATION FOR EFFICIENT MAP COLORING OF MAHARASHTRA'S DISTRICTS
Authors:   Department of Mathematics, K.V.N.Naik College, Nashik, Maharashtra, India, Bhamare Dr. Megha Abhiman
Published: January 2025

This research explores the application of
graph coloring algorithms to minimize the number of
colors required for coloring the districts of
Maharashtra, ensuring that no two adjacent districts
share the same color. Using an adjacency matrix
representation, where each district corresponds to a
vertex and edges represent shared borders, the problem
is framed as a graph coloring challenge. The primary
objective is to demonstrate that a minimum of four
colors suffice to color the entire map, in line with the
Four Color Theorem, which asserts that any planar map
can be colored with at most four colors. A greedy graph
coloring algorithm, augmented with backtracking for
conflict resolution, is implemented to assign colors to the
districts. The results show that the algorithm
successfully colors the 36 districts of Maharashtra using
no more than four colors, confirming the hypothesis.
This research has significant implications for
geographical information systems (GIS), political
mapping, resource allocation, and optimization
problems, offering a practical solution to district-level
planning. The methodology and outcomes also suggest
potential extensions to other regions and real-world
applications, such as task scheduling and frequency
assignment in telecommunications.
MEASURING THE SOCIAL MEDIA SENTIMENT INFLUENCE ON STOCK MARKET PRICE PREDICTION
Authors:   M.Tech Scholar, Department of Computer Science and Engineering, Compucom Institute of Technology and Management, Tomar Kostubh , Sharma Abhishek ,   Assistant Professor, Department of Computer Science and Engineering, Compucom Institute of Technology and Management, Saxena Dr. Akash ,   Professor Department of Computer Science and Engineering, Compucom Institute of Technology and Management
Published: January 2025

—The machine learning is become more and
more popular for understanding the patterns and
information in various complex applications. In this work
we are utilizing the machine learning techniques for
understanding the patterns of stock market price. The
stock market price prediction is one of the most
fluctuating in nature. That incorporates the different
influencing factors which make it much dynamic to
understand. Therefore in this presented work for
understanding the trends of the stock market data we
have use the social media data analysis techniques for
more accurate data prediction. The proposed model
includes the natural language processing (NLP)
techniques and machine learning algorithms for first
computing the orientation of the sentiments of the social
media. Then the common regression method has been
employed over the yahoo financial data. The financial
data prediction will be used with the social media
sentiment orientation and the word sentiment scores for
correcting the error in predictions. The implementation
of the proposed model has been utilized the JAVA
technology and API implementation for demonstrating
the effectiveness of the prepared model. The comparative
performance study among two other similar variants of
stock market price prediction models demonstrates the
superiority of the proposed model. The model will be
evaluated and compared in terms of accuracy, error rate,
and memory and time consumption. The model provides
up to 5-8% improvement into the accurate prediction.
Performance of Fluid Infusion Systems in the Changing Atmospheric Pressures Encountered in Aviation
Authors: Fan Ka Siu , Paterson Megan , Shojaee-Moradie Fariba , Manoli Antonios , Edwards Victoria , Lee Vivienne , Hutchison Ewan , Gifford Robert M. , Parsons Iain T. , Koehler Gerd , Mathieu Chantal , Mader Julia K. , King Bruce R. , Russell-Jones David , Consortium EASA
Published: January 2025

INTRODUCTION: With the increasing use of aeromedical transport for critically ill patients, it is essential to understand the impact of pressure changes on drug infusion delivery systems. As airplanes ascend and descend, gases/bubbles are released from solutions when ambient pressure decreases and dissolves when pressure increases. This may affect mechanical fluid delivery systems and cause clinically significant changes, especially within a critical care setting. We aimed to evaluate the impact of pressure changes on volumetric pumps and syringe drivers.

METHODS: An in vitro study of six volumetric pumps and eight syringe drivers was conducted in a hypobaric chamber to mimic pressure changes during flights. Infusion devices were set to deliver water at 0.2 ml ⋅ h−1 and infused volumes were measured. There were 15 open-ended syringes also studied.

RESULTS: During ascent, syringe drivers and volumetric pumps over-delivered 173 µL and 38 µL of fluid. During descent, syringe drivers under-delivered by 166 µL, whereas volumetric pumps under-delivered by 9 µL. Syringe drivers experienced statistically significant changes in fluid delivery during both ascent and descent. In volumetric pumps, only the descent phase infusion differed significantly from other phases. The volume of fluid expansion is dependent on volume and the mechanical properties of the fluid.

DISCUSSION: Decreasing ambient pressure causes bubble formation, which displaces fluid, and increasing ambient pressure causes bubble reabsorption in mechanical infusion devices. Hence, atmospheric pressure changes during air travel may alter fluid delivery from medical fluid delivery systems and affect critically ill patients who require both aeromedical evacuation and accurate infusion of drugs.

Fan KS, Paterson M, Shojaee-Moradie F, Manoli A, Edwards V, Lee V, Hutchison E, Gifford RM, Parsons IT, Koehler G, Mathieu C, Mader JK, King BR, Russell-Jones D; EASA Consortium. Performance of fluid infusion systems in the changing atmospheric pressures encountered in aviation. Aerosp Med Hum Perform. 2025; 96(1):4–11.
Evidence-Based Aeromedical Assessments
Authors: Saehle Terje
Published: January 2025

INTRODUCTION: Assessment of fitness for flight constitutes one of the core tasks of aeromedical professionals. The value of such evaluations depends on the decision to be based on complete medical information, valid risk methodology, and genuine flight safety indicators. To achieve these goals, the aeromedical practitioner should ensure an evidence-based approach.

METHODS: This article describes a pragmatic and evidence-based methodology for aeromedical fitness assessments, grounded on already validated principles within scientific epistemology and evidence-based clinical medicine.

RESULTS: The aeromedical assessment should integrate both individual variables of the particular applicant, deductive reasoning by relevant experts, and the best available scientific evidence. Each of these three pillars includes a set of specific aspects based on knowledge of precision medicine, flight environment, risk methodology, statistics, metacognition, and scientific method.

DISCUSSION: Despite evidence-based approach being the benchmark, the aeromedical practitioner should be aware of limitations and potential pitfalls. The conclusion should be based on both functional performance and future risk of medical incapacitation using a transparent and objective risk matrix.

Saehle T. Evidence-based aeromedical assessments. Aerosp Med Hum Perform. 2025; 96(1):71–77.
The Filatov Medical Dynasty
Authors:   Ogarev National Research Mordovian State University, Saransk, Russia, Zaitseva Ksenia I. , Lukyanova Tatiana V. , Semeleva Elena V.
Published: January 2025

Introduction. The analysis of historical and biographical documents of
the Filatov medical dynasty, who are the pride of our country and the
Mordovian land, reveals the main stages of their lives and careers. Some
of them were zemstvo doctors, others, such as Nil Fedorovich and Vladimir Petrovich Filatov, made a significant contribution to the development of domestic and world medicine. Their works on pediatrics and
ophthalmology became innovative and encyclopedic, formed the basis
of university textbooks for training many generations of doctors, and
were translated into a number of foreign languages. Methods. Historical
and biographical studies of the life and work of the Filatov medical dynasty were conducted, allowing us to connect the fate of an individual
with social transformations. Results and Discussion. The Filatov family
is a famous dynasty of doctors, whose medical research influenced the
development of our country and the Republic of Mordovia. Conclusion.
The legacy of the great doctors of the Filatov dynasty is preserved in
the memory of the residents of Mordovia. The Mordovian Republican
United Museum of Local History named after I.D. Voronin and the Filatov Museum of the Medical Institute of the Mordovian State University
named after N.P. Ogarev store materials and albums with family photographs of the Filatovs. This makes it possible to evaluate the contribution of these scientists to the development of medicine and health care in the country.
https://doi.org/10.33873/3034-4379.2024.1-3.537-548
Authors:   Saratov State Medical University named after V. I. Razumovsky, Saratov, Russia, Kudasheva Zulfiya E.
Published: January 2025

Introduction. Residency is one of the important stages of training future medical specialists. In modern socio-cultural context, an important
component of specialist training is his or her digital competence. Therefore, in order to improve the quality of education, it is important to
assess how students take it and build their individual educational trajectory based on their opinions. Methods. This paper presents the results
of the author's questionnaire survey among 272 residents of the Saratov State Medical University named after V. I. Razumovsky. Results and
Discussion. Gaps in the education of residents are identified: their poor
preparedness for remote communication with the patient, ignorance of
the rules and features of building communication on the network, ignorance of the concept of "electronic patient" and "digital double." Conclusion. These results can be used to improve the educational process
of a medical university.
Activity of an anaerobic Thermoanaerobacterales hydrolase on aliphatic and aromatic polyesters
Authors: Siracusa Chiara , Fohler Lisa , Leibetseder Lukas , Striedner Gerald , Oostenbrink Chris , Quartinello Felice , Guebitz Georg M. , Ribitsch Doris
Published: January 2025

This study focuses on the biochemical characterization of a new hydrolase (Thb) expressed from anaerobic Thermoanaerobacterales, which could be used to improve biogas plant efficiency for plastic waste treatment. The specificity of Thb for various polyesters, including polyethylene terephthalate (PET), polybutylene adipate terephthalate (PBAT), polybutylene succinate (PBS), and polylactic acid (PLA), was compared to the well-studied cutinase HiC from Humicola insolens. Based on gravimetric analysis and quantification (high-performance liquid chromatography (HPLC)) of monomers solubilized upon enzymatic hydrolysis, Thb was found to be more active on aromatic polyesters, while HiC led to a higher amount of hydrolysis products on aliphatic polyesters (PBS and PLA). Polyester hydrolysis was further investigated by scanning electron microscopy and infrared spectroscopy. A comparison of the two enzyme structures indicated the higher aromatic character of specific regions of the Thb surface as a possible reason for these differences in specificity.
Analysis of respiratory pathogens in pediatric acute respiratory infections in Lanzhou, Northwest China, 2019-2024
Authors: Wang Qian , Pan Yunyan , Gao Hongwei , Zhao Youli , Gao Xinzhe , Da Yichen , Niu Shaomin , You Chongge
Published: January 2025

Objective

This study aimed to assess the prevalence and distribution of respiratory pathogens in children under 18 years old with Acute Respiratory Infections (ARTIs) in Lanzhou, Northwest China, from July 2019 to January 2024.

Methods

The respiratory pathogens studied were FluA, FluB, PIV, RSV, ADV, MP, CP, CB, and LP, detected by indirect immunofluorescence assay (IIF). Data were obtained from the laboratory information system (LIS) of the Lanzhou University Second Hospital. As in Lanzhou, NPIs were implemented in January 2020, and were lifted in December 2022, data were divided into pre-NPIs (July 2019 to December 2019), NPIs (January 2020 to December 2022) and post-NPIs (January 2023 to January 2024) periods for analysis. Pearson’s chi-square test, ANOVA, and Fisher’s exact test were used to evaluate statistical significance in variable differences, with P < 0.05 considered significant.

Results

A total of 29,659 children diagnosed with ARTIs were included in the study, with 13030(43.93%) test positive for at least one pathogen. Single-pathogen infections predominated (33.10%), while co-detection of MP and PIV was the most common among multi-pathogen cases (52.96%). Pathogen detection rates were notably higher in female children (50.62%) and preschool-aged children (53.45%) and exhibited seasonal variations, with a pronounced increase in winter (47.61%) and a peak in November (48.92%). MP had the highest detection rate (38.59%), followed by PIV (10.18%). Detection rates significantly increased following the lifting of NPIs, rising from 33.82% (SD ± 13.13) during NPIs to 64.42% (SD ± 4.67) (P < 0.001), with 2023 showing the highest detection rate (64.61%) and largest participant count (9,591). In November 2023, detection rates reached their highest level at 73.09%. Post-NPI, most pathogens, except CB and LP, demonstrated significantly higher prevalence (P<0.001).

Conclusion

In the Lanzhou region, MP and PIV were identified as the most prevalent respiratory pathogens among children with ARTIs, with peak detection rates during the winter season. Boys and school-age children exhibited higher susceptibility to these infections. NPIs played a critical role in reducing respiratory pathogen transmission. Once NPIs were lifted, a marked resurgence in pathogen incidence highlighted their impact on controlling infection spread.
Molecular insights into the interplay between type 2 diabetes mellitus and osteoporosis: implications for endocrine health
Authors: Jiang Liyun , Song Xia , Yan Li , Liu Yali , Qiao Xiumei , Zhang Wen
Published: January 2025

Background

Type 2 diabetes mellitus (T2DM) and osteoporosis are prevalent, interconnected chronic diseases that significantly impact global health. Understanding their complex biological relationship is crucial for improving patient outcomes and treatment strategies.

Method

This review examines recent research on the mechanisms linking T2DM with osteoporosis. It focuses on how abnormalities in bone metabolism, autophagy, ferroptosis, and vitamin D receptor (VDR) gene polymorphisms contribute to osteoporosis in T2DM patients.

Results

Our analysis indicates that T2DM is associated with reduced bone formation and increased bone resorption, which are influenced by hormonal changes, inflammation, and disrupted cellular signaling pathways. Additionally, increased perirenal fat thickness worsens osteoporosis through local inflammation and altered adipokine levels. VDR gene polymorphisms provide new molecular insights into this connection.

Conclusion

Addressing the identified mechanisms with targeted management strategies may improve bone health in individuals with T2DM. Future research should explore these associations in greater detail to develop more effective prevention and treatment strategies.
Spatial variations in the microbiota: comparative analysis of microbial composition and predicted functions across different intestinal segments and feces in donkeys
Authors: Wang Yanwei , Hu Tong , Liang Kaixuan , Li Shinuo , Zhang Qiyue , Li Wenqiang , Qu Honglei , Dong Boying , Zhang Haihua , Ma Qiugang , Jia Ru , Huang Shimeng
Published: January 2025

Donkeys, as single-stomach herbivores, have a complex and diverse microbial community in their digestive tracts. The intestinal bacterial community is crucial for maintaining intestinal homeostasis, as well as the host’s overall nutrition and health. However, research on donkey gut microbes is relatively limited, particularly regarding the microbial colonization patterns in different intestinal segments of adult donkeys. Therefore, this study examined the abundance and function of microbiota across various sites of the intestinal tract (duodenum, jejunum, ileum, cecum, colon) and feces of healthy adult Dezhou male donkeys using 16S rRNA gene sequencing and PICRUSt analysis. The results indicate that donkeys have a rich gut microbial diversity and a large microbial population. No significant differences in the indices of alpha diversity were observed among the donkey’s duodenum, jejunum, ileum, cecum, colon, and feces. A Venn diagram analysis revealed the presence of both unique (Duodenum: 4645; Jejunum: 3586; Ileum: 4904; Cecum: 4253; Colon: 6135; Feces: 4885) and shared (339) ASVs among the different sections. A principal coordinate analysis (PCoA) revealed significant differences (R2 = 0.2076, p < 0.007) across the six intestinal segments of the donkeys. At the phylum level, Firmicutes (63.64%), Bacteroidetes (20.72%), Verrucomicrobiota (9.16%), Patescibacteria (1.95%), Spirochaetota (1.87%), Actinobacteriota (1.13%), and Proteobacteria (0.42%) were the dominant bacteria in all samples. The Wilcoxon rank-sum test revealed significant differences in the proportions of genera among different intestinal segments. Specific genera were significantly enriched in various segments: Lachnospiraceae_UCG-008 and Sphaerochaeta in the duodenum; Christensenellaceae_R-7_group and Bacillus in the jejunum; NK4A214_group and Alloprevotella in the ileum; UCG-005 and Lactobacillus in the cecum; Clostridium_sensu_stricto_1 and Chlamydia in the colon; and Rikenellaceae_RC9_gut_group and Prevotellaceae_UCG-004 in the feces. A PICRUSt2 functional prediction analysis indicated that carbohydrate metabolism, prokaryotic cellular communities, antimicrobial drug resistance, immune diseases, membrane transport, signal transduction, and transcription exhibited significant differences among the different intestinal segments. This study provided critical primary data on the differences in donkey gut microbiota and the synergistic effects between gut microbiota and host functions. These findings can be used to assess donkey health status, improve breeding, and develop microbial additives.
Identification of biomarkers for tumor regression grade in esophageal squamous cell carcinoma patients after neoadjuvant chemoradiotherapy
Authors: Chen Zhifu , Wang Yan , Chen Jun , Xu Zijun , Zhang Tingjuan , Sun Lu , Zhu Lihua , Xu Liben , Wu Chaoyang , Qiu Zhiyuan , Wang Dianjun , Wu Ting
Published: January 2025

Background

Esophageal cancer is a highly invasive malignancy. Neoadjuvant chemoradiotherapy not only increases the rate of complete resection but also improves the median survival. However, a sensitive biomarker is urgently needed in clinical practice.

Methods

60 esophageal squamous cell carcinoma (ESCC) patients undergoing neoadjuvant chemoradiotherapy (NCRT) were enrolled at the People's Hospital Affiliated to Jiangsu University. Patients were grouped according to tumor regression grade (TRG) criteria from the College of American Pathologists (CAP). The correlation between TRG groups, clinicopathologic characteristics, and prognosis was analyzed. Differential gene expression analysis was performed on ESCC patients before and after NCRT using the public database (GSE43519). MMP9, NFIX, and GPR56 were identified as candidate genes, and their expression and correlation with prognosis were evaluated by immunohistochemical analysis.

Results

Among 60 ESCC patients who underwent surgery after NCRT, the pathological complete response (pCR) rate was 35.0% (21/60), and the major pathological response (MPR) rate was 60.0% (36/60). Poor tumor differentiation and neural or vascular invasion were associated with inadequate tumor regression grade and were independent factors influencing TRG. ESCC patients were divided into effective (TRG 0 + 1) and ineffective (TRG 2 + 3) groups. Higher TRG was significantly associated with shorter overall survival (OS). Our study also identified TRG as an independent prognostic factor through univariate and multivariate Cox regression analyses (P < 0.05). The differentially expressed genes GPR56, MMP9, and NFIX selected from the GSE43519 dataset were significantly downregulated after NCRT (P < 0.001). Immunohistochemistry showed that GPR56 was highly expressed in ESCC, while it was negatively expressed in paracancerous tissues. There was a significant difference in expression between cancerous and paracancerous tissues. GPR56 expression was consistent with the public dataset, and patients with high GPR56 expression had significantly shorter OS (P < 0.05). In addition, patients with inadequate MPR and high GPR56 expression had shorter OS (P < 0.05).

Conclusions

The findings suggest that TRG serves as an independent prognostic factor for ESCC following NCRT. High GPR56 expression is found to be associated with a poor prognosis of ESCC. Downregulation of GPR56 suggests a potential significant predictive value in conjunction with MPR analysis.
The application of a clinical-multimodal ultrasound radiomics model for predicting cervical lymph node metastasis of thyroid papillary carcinoma
Authors: Liu Chang , Yang Shangjie , Xue Tian , Zhang Qian , Zhang Yanjing , Zhao Yufang , Yin Guolin , Yan Xiaohui , Liang Ping , Liu Liping
Published: January 2025

Background

PTC (papillary thyroid cancer) is a lymphotropic malignancy associated with cervical lymph node metastasis (CLNM, including central and lateral LNM), which compromises the effect of treatment and prognosis of patients. Accurate preoperative identification will provide valuable reference information for the formulation of diagnostic and treatment strategies. The aim of this study was to develop and validate a clinical-multimodal ultrasound radiomics model for predicting CLNM of PTC.

Methods

One hundred sixty-four patients with PTC who underwent treatment at our hospital between March 2016 and December 2021 were included in this study. The patients were grouped into a training cohort (n=115) and a validation cohort (n=49). Radiomic features were extracted from the conventional ultrasound (US), contrast-enhanced ultrasound (CEUS) and strain elastography-ultrasound (SE-US) images of patients with PTC. Multivariate logistic regression analysis was used to identify the independent risk factors. FAE software was used for radiomic feature extraction and the construction of different prediction models. The diagnostic performance of each model was evaluated and compared in terms of the area under the curve (AUC), sensitivity, specificity, accuracy, negative predictive value (NPV) and positive predictive value (PPV). RStudio software was used to develop the decision curve and assess the clinical value of the prediction model.

Results

The clinical-multimodal ultrasound radiomics model developed in this study can successfully detect CLNM in PTC patients. A total of 3720 radiomic features (930 features per modality) were extracted from the ROIs of the multimodal images, and 15 representative features were ultimately screened. The combined model showed the best prediction performance in both the training and validation cohorts, with AUCs of 0.957 (95% CI: 0.918–0.987) and 0.932 (95% CI: 0.822–0.984), respectively. Decision curve analysis revealed that the combined model was superior to the other models.

Conclusion

The clinical-multimodal ultrasound radiomics model constructed with multimodal ultrasound radiomic features and clinical risk factors has favorable potential and high diagnostic value for predicting CLNM in PTC patients.