bluuebunny/crossref_metadata_2025 huggingface dataset:
Method of analysis of solar activity geoeffectiveness
Authors: Ivantyshyn Danylo
Published: March 2024

The method of analysis of the solar activity geoeffectiveness and assessing its level based on the mining spatiotemporal data of geophysical field disturbances caused by the activity of the Sun is developed. At the first stage of the method, solar activity is analysed. When solar disturbances are detected, the information about solar activity and the geophysical disturbances caused by it are further jointly analysed. Further, the raw data of geophysical fields are cleaned and converted into a format suitable for analysis, as well as their time alignment is carried out, which is crucial when comparing or combining time series from different sources and with different sampling rates. After that, the data is normalized, since the data values of the geophysical fields, which are used to analysis of solar activity geoeffectiveness, are measured on different scales, have different dimensions, which requires their scaling to the conventionally general scale of the comparable range. At the next stage of the method, spatial data aggregation is implemented, which ensures the process of combining the numerical values of a group of resources into one representative value for a given period of time. As a result of aggregation of experimental data of geophysical fields, we obtain a time series of average values of these fields for each moment of time. The analysis of the solar activity geoeffectiveness on the basis of aggregated data makes it possible to estimate its level taking into account the index Dst of the geomagnetic storm, the geomagnetic index of the polar electric current AE, the magnitude of natural atmospheric infrasound and the gradient of the electrical potential of the atmosphere PG. The scale of classification of the solar activity geoeffectiveness is in the range [0, 1]. An event is considered geoeffectiveness if the aggregated signal reaches a threshold value of 0.25 on the geoeffectiveness scale. Geoeffectiveness of solar activity is classified as weak, moderate or strong if the value of the aggregated signal is, respectively, 0,25AS<0,5; 0,5AS<0,75; 0,75AS1,0.
Development of software for neuromarketing based on artificial intelligence and data science using high-performance computing and parallel programming technologies
Authors: Pastukh Oleh , Yatsyshyn Vasyl
Published: March 2024

This paper deals with the scientific research in a new area of human activity – neuromarketing. The development of new software for neuromarketing research based on modern methods and tools of artificial intelligence and data science (neural network technologies) using technologies of high-performance computing and parallel programming are considered in this paper. The results of experimental measurements of electrical activity of the consumer's brain based on electroencephalographic signals depending on various types of marketing stimuli are presented in this paper. The quality of the developed software for neuromarketing is evaluated on the basis of various quality metrics.
Peripartum Cardiomyopathy: A Review
Authors: Arzoo Shabera , Akter Musammat Shamima , Akther Maher , Jannat Fatematul
Published: March 2024

Peripartum cardiomyopathy (PPCM) is a rare, idiopathic, and often dilated cardiomyopathy that is marked by systolic dysfunction that presents in late pregnancy or the early postpartum period. A workshop convened by the US National Heart, Lung, and Blood Institute (NHLBI) in the 1990s defined PPCM as heart failure that develops in the last month of pregnancy or up to five months postpartum with left ventricular systolic dysfunction. Prior to the availability of echocardiography, diagnosis was based only on clinical findings. Recently, the inclusion of echocardiography has made diagnosis of PPCM easier and more accurate. Etiopathogenesis is still poorly understood, but recent evidence supports inflammation, viral infection, and autoimmunity as the leading causative hypotheses.
Eastern Med Coll J. July 2023; 8 (2):68-74
EVALUASI HUBUNGAN KUALITAS LAHAN, PERTUMBUHAN DAN PRODUKSI KAKAO BERUMUR LANJUT DI KABUPATEN KOLAKA TIMUR, PROVINSI SULAWESI TENGGARA
Authors: Syaf Hasbullah
Published: March 2024

Tanaman kakao merupakan salah satu komoditas utama penghasil devisa negara. Kakao berkembang hampir di seluruh Indonesia, termasuk Kabupaten Kolaka sebagai salah satu daerah penghasil. Keberadaannya saat ini telah memunculkan banyak masalah dari pertumbuhan hingga produksi. Masalah tersebut selain hamadan penyakit juga tanaman rata-rata telah berumur lanjut berusia di atas 18 tahun. Usia ini menyebabkan produktivitas semakin menurun. Untuk mengantisipasi lebih awal penurunan produksi tersebut, maka telahdilakukan Â penelitian Â selama Â 10 Â bulan Â untuk Â mengevaluasi Â hubungan Â kualitas Â lahan, Â pertumbuhan Â dan produksi kakao berumur lanjut di Kabupaten Kolaka Timur, Provinsi Sulawesi Tenggara. Metode surveiyang digunakan dalam penelitian ini dengan 92 Satuan Pengamatan Lahan (SPL) dan 27 parameter sifat tanah. Hasil penelitian menunjukkan bahwa kualitas perkembangan tanah dengan karakteristik tingkat pelapukan berhubungan dengan produksi kakao. Kualitas sifat fisik khususnya karakteristik kedalamanefektif dan permeabilitas berkorelasi nyata dengan produksi kakao. Hubungan kualitas sifat kimia dengan produksi kakao menunjukkan bahwa pH (H2O), C-organik, dan P2O5Â  berkorelasi positif dengan produksi tanaman, sebaliknya kejenuhan Al berkorelasi negatif.Â Kata kunci : Kualitas lahan, karakteristik tanah, produksi dan kakao.
PENGARUH KOMPETENSI PROFESIONAL GURU BIOLOGI YANG TELAH TERSERTIFIKASI TERHADAP HASIL BELAJAR SISWA DI SMA SE-KOTA TERNATE
Authors: Yusup Mukhtar , . Ruslan
Published: March 2024

Tujuan penelitian ini adalah untuk mengetahui pengaruh kompetensi profesional guru biologi yang telah tersertifikasi terhadap hasil belajar siswa di SMA se-Kota Ternate. Penelitian ini bersifat ex post facto karena Â peneliti Â tidak Â melakukan Â kontrol Â terhadapÂ  variabel-variabel Â bebas Â karena Â manifestasinya Â sudah terjadi. Penelitian ini adalah penelitian populasi. Teknik pengumpulan data berupa, tes kompetensi guru dan tes hasil belajar siswa. Teknik analisis data menggunakan statistik non parametrik Chi-square dengan menggunakan bantuan software SPSS versi 20.Hasil penelitian menunjukan bahwa terdapat pengaruh kompetensi professional guru biologi yang telah tersertifikasi terhadap hasil belajar siswa dengan nilai XÂ²= 46,412Â Kata kunci: Hasil belajar siswa, kompetensi, profesional
PENGARUH SIKAP PEMIKIRAN KRITIS TERHADAP HASIL BELAJAR MAHASISWA PROGRAM STUDI PENDIDIKAN BIOLOGI FKIP UNIVERSITAS MULAWARMAN
Authors: Masitah Masitah
Published: March 2024

Penelitian ini bertujuan untuk mengetahui pengaruh sikap pemikiran kritis terhadap hasil belajar mahasiswa Program Studi Pendidikan Biologi FKIP Universitas Mulawarman Mata Kuliah Anatomi Manusia. Penelitian ini dilaksanakan di Program Studi Pendidikan Biologi FKIP Uiversitas Mulawarman Samarinda dengan jumlah sampel sebanyak 60 orang, yang terdiri atas dua kelas reguler A dan reguler B. Instrumen sikap pemikiran kritis diuji validitasnya dengan korelasi Pearson.Analisis data dari hasil penelitian ini dengan menggunakan teknik analisis varians (ANAVA). Dari hasil penelitian ditemukan bahwa uji hipotesis terhadap pengaruh sikap pemikiran kritis terhadap hasil belajar mahasiswa Â mata Â kuliah Â Anatomi Â Manusia Â dengan Â F Â hitungÂ  sebesar Â 117,330 Â angka Â ini Â lebih Â besar dibandingkan Ftabel sebesar 4,01.Hasil penelitian menunjukkan bahwa terdapat pengaruh sikap pemikiran kritis terhadap hasil belajarmahasiswa program studi pendidikan biologi FKIP Universitas Mulawarman Samarinda.Â Â Kata kunci: hasil belajar, sikap, pemikiran kritis, Mulawarman
Analysis Indonesia’s Export Value Forecasting to G20 Countries Using Long Short-Term Memory Neural Network Method
Authors: Veronica Veronica , Silaban Herlan , Nasution Syafrani Putri , Indra Evta
Published: March 2024

Export is one of the most important ways for the country to generate income, which can have an impact on the country's economic stability. This research aims to forecast the value of Indonesian exports to G20 member countries. The Long Short-Term Memory method is used in this research to examine historical data on Indonesian exports from the previous 16 years. Experimental results show that the LSTM Neural Network method has the ability to predict the value of Indonesian exports to G20 member countries with a sufficient level of accuracy. The predictions generated by the model provide insight into trends and fluctuations in the value of exports in the future. The results of this study provide insight into the potential application of artificial intelligence techniques in economic and trade analysis. The results demonstrate that the LSTM model is capable of producing relatively accurate predictions, with an average score of Root Mean Square Error (RMSE) on training data is 0.10 and on testing data is 0.13, as well as graphs of prediction results demonstrating that the LSTM model can capture patterns and trends from Indonesia's export data to G20 countries. According to the prediction results, the highest export value to China is expected to be $6,100,000 in the 200th month (or in the year 2039), while the lowest export value to Mexico is expected to be $27,000 in the 135th month (or in the year 2034).
WEB-BASED LEARNING AND STUDENTS' SCHOLASTIC ACCOMPLISHMENT AT NATIONAL OPEN UNIVERSITY OF NIGERIA
Authors: Muibi Taofeek Gbolahan
Published: March 2024

The study examined the impact of Web based learning structures (Moodle, Blackboard, Online Library, Online Course Module/Study Guide, Internet Learning for coach student and Student - Student Connection and Times of Access of Internet Learning Applications) on students' scholarly accomplishment at the National Open University of Nigeria. The descriptive survey research design was used with a population of 100 to 400 students and a sample size of 150 students from the National Open University of Nigeria's schools of law, arts and social science, business and human resources, education, science and technology, and center for continuing education. A questionnaire with 53 questions titled: Experts validated the Online Learning and Learners' Academic Achievement in National Open University of Nigeria Scale (OLLAAS), and Cronbach's alpha yielded a reliability coefficient of 0.76. To test the hypotheses at the 0.05 level of significance, data were analyzed using Multiple Regressions and the Pearson Product Moment Correlation Coefficient. The discoveries of the review uncovered that the Internet learning structures (Moodle, Blackboard, Online Library, Online Course Module/Study Guide, Web based Learning for mentor student and Student - Student Connection and Times of Access of Web based Learning Applications) essentially impacted students' scholarly accomplishment (F (6, 143) = 24.907; R2 = 0.511), and mutually represented 49.1% of its difference. Moodle (r =.206, P0.001), Blackboard (r =.417, P0.001), the Online Library (r =.594, P0.001), the Online Course Module/Study Guide (r =.395, P0.001), online learning for tutor-learner and learner-learner interaction (r =.442, P0.001), and periods of access to online learning applications (r =.625, P0.001) all had positive correlations with students. In light of the discoveries, it was suggested that administration ought to put more in training of this season of computerized age through satisfactory financing to empower schools obtain and introduce ICT foundation. The government and all relevant stakeholders ought to address the problem of incessant power outages. Mechanical gadgets ought to likewise be made accessible to students at sponsored rates to empower everybody partake in remote learning. Web based learning meetings ought to be planned with significant and profoundly captivating and intelligent learning exercises to lessen fatigue among detached students during learning.
CHALLENGES FOR UNIVERSITIES TO ONLINE TECHNOLOGIES IMPLEMENTATION IN THE CONDITIONS OF WAR IN UKRAINE
Authors: Sytnykova Yuliia , Petrenko Tаtyana , Bezkorovaina Oksana , Ptushka Anastasiia
Published: March 2024

The experience of online education in Ukraine during wartime is unique. After the Russian-Ukrainian war beginning, in a month of so-called "holidays", in spring 2022, from April, 1, by the order of the Ministry of Education and Science of Ukraine and the rectors' orders of universities, online education started. The classes were online, and it was difficult to overcome the war stress, but the experience of the pandemic taught everyone to work with online technologies such as Zoom, Meet, and Google Classroom. Teaching students online was carried out as online as offline with the university platforms like Moodle and others for offline learning, they contained all educational materials from the previous two years of the pandemic, tasks, quizzes, and tests. The purpose of the research is to identify pedagogical, psychological, and technical challenges for teaching university students during the war in Ukraine with the survey method. The survey was conducted online with 65 university lecturers and 122 students from 5 universities in Kharkiv, Ukraine. The pedagogical, psychological, and technical difficulties were analyzed. The questions were aimed at studying such aspects as 1) pedagogical and psychological difficulties: the teachers/students' readiness for online teaching/learning, 2) pedagogical difficulties: the procedures of online teaching/learning and technologies, in particular, methods, forms, means of giving/mastering knowledge, 3) psychological and technical difficulties faced both by teachers and students. The results are as follows. The acquired teaching and learning experience with online technologies helped to establish online education in wartime positively in general. The main pedagogical difficulties were overcome with basic methods (online and offline), teaching forms such as lectures, seminars, and practical classes online, and offline, and, finally, different tools/means/platforms (video/audio recordings, corresponding emails, social networks, Moodle platform, etc.). The psychological state of both teachers and students in the circumstances of online education was also examined. The most common psychological difficulties with online learning were connected with external ones as constant shelling, and air alarms as with internal ones as stress, anxiety, worries, depression, burnout, sadness, and frustration. The technical difficulties were connected to blackouts, lack of Internet connection, power outages, evacuation, changes in living and working conditions, relocations, and the impossibility of using laboratory equipment. The conclusion is despite all online difficulties, the quality of teaching did not change significantly, thanks to the clear understanding that it is a necessity to teach and learn online.
ASSESSING THE RESULTS OF TRAINING IN DIGITAL ENTREPRENEURSHIP IN THE AGE OF HIGH AND DEEP TECH
Authors: Kaminsky Oleg , Yereshko Julia , Kyrychenko Sergii , Duchenko Maryna
Published: March 2024

Digital transformation and the rise of Industry 4.0 in times of turbulence are changing the way organizations operate and interact with the people they serve. The massive penetration of network software applications and cloud services forces businesses to digitize their processes and provide innovative products and services. Such mass penetration is changing production and business processes, the labour market, and the basic portrait of the workforce, regardless of industry or role. In addition, we are seeing a shift in the basic skills needed in science, research and development, engineering, IT, management, entrepreneurship, and more. These skills are transformed in accordance with the technological restructuring of productive forces, at the same time, educational activity is characterized by some lag in its development. It is important to realize that the nature and speed of progress dictates the need for an advanced workforce with a multidisciplinary educational background (especially given the number of predictions promising full automation in the next few decades), regardless of industry or function, especially when it comes to deep tech start-ups and high-tech enterprises. It was concluded that in the framework of modern technical evolution, in the conditions of high-tech, and especially deep tech structures, competencies in digital entrepreneurship are, if not key, then very important. The education market is also undergoing changes, but university education is very slow to respond to digital processes. The article proposes a method of assessing the level of competences of students of economic specialties in the field of learning digital entrepreneurship based on soft computing, and also formulates the key basic competencies that arise during the online course of digital entrepreneurship, which are based on the latest development trends in the field of IT. Special considerations for using the model for higher education institutions are discussed. The proposed mathematical model has the property of universality and can be applied to obtain basic statistical samples of the level of competence acquisition based on online courses in various areas of the real sector of the economy.
THE ELECTRONIC SYSTEM FOR THE MANAGEMENT OF UNIVERSITY EDUCATIONAL PROGRAMS
Authors: Palamarchuk Yevhen , Kovalenko Olena
Published: March 2024

The article presents the research results of the electronic system for managing university educational programs (EP). The analysis of scientific works showed that higher educational institutions need the introduction of integrated information systems. Such systems are the technical basis of the electronic university and have functionality for managing education and providing communications to university management. An analysis of the main processes of EP management was performed, and interested parties, their roles, and participation in the methods were determined. The proposed mathematical model is the basis of management for introducing the EP, its development, and implementation control based on quality parameters. The software module is a part of the university's management process support system and the JetIQ of Vinnytsia National Technical University's (VNTU's) comprehensive information system. For the analysis of the subject area and the formation of optimal management processes, the methodological recommendations of the National Agency for Higher Education Quality Assurance (NAQA), data export and import system for the Unified State Electronic Database on Education Issues, the experience, and recommendations of experts from the department of quality assurance of education of VNTU, experts and guarantors of educational programs were used. Precedent models are formed about such role scenarios – applicant, student, teacher, guarantor, management, expert, stakeholder (employer). Such models made it possible to create not only the software module for the management of educational programs (QEd – Quality Educational) but also to determine the conditions for publication on the main website of VNTU of educational programs and documentation of their development, syllabi on the foremost showcase and jet-sites of the department, to create scenarios for automatic quality control of the EP. The result of the creation of the software module for the management of educational programs is a system of structured information regarding the development and implementation of the educational program, which allows the guarantor and specialists of the department to ensure the quality of education by use special containers for documentation and interested parties to use public up-to-date information on the university's websites.
GAZE DIRECTION MONITORING MODEL IN COMPUTER SYSTEM FOR ACADEMIC PERFORMANCE ASSESSMENT
Authors: Barkovska Olesia , Liapin Yaroslav , Muzyka Tetiana , Ryndyk Ihor , Botnar Pavlo
Published: March 2024

This paper focuses on the research and application of eye movement and gaze direction analysis in online testing systems. The practical novelty of the proposed model of monitoring the direction of gaze in a computer-based knowledge control system lies in the possibility of automated remote control over a large audience of students. The practical significance lies in creating the same conditions for computer testing for all students and increasing the correspondence of knowledge level to the received test results. The implemented and tested system is relevant and necessary in higher educational institutions, particularly in Ukraine, where remote education has emerged as the safest means of acquiring knowledge. This is especially true for fields of study where practical tasks and laboratory work do not necessitate a student's physical presence at the institution. That is why the application of the latest information technologies is extremely important. The dynamic authentication based on the sequence of eye movements proposed in the model allows error-free user's eye area detection for further analysis of the test subject's behavior. The proposed authentication method excludes the need to enter passwords or CAPTCHAs, ensures the speed of determining the user's presence. Further analysis of the user's direction of vision includes responding to the information received, such as skipping a question or the need for re-authorization. Question skipping occurs when the system decides that the user has not been looking at the screen for an extended period (looking sideways, down, up for more than 30 seconds). Re-authentication becomes necessary if the user exits the test or if there is a user replacement. Real-time gaze control capability is implemented by using massive parallel processing system (NVIDIA GeForce GTX 1650 graphics card) for calculations. The analysis of the results obtained shows that the proposed approach allows gaze detection at different illumination ranges (from 0.3 lux to 10,000 lux), as well as to detect states of the user's eyes that violating test rules for further system response (skipping a question or re-authentication request).
Assessment of Alterations in Gait Parameters of Chronic Total Knee Arthroplasty – An Observational Study
Authors: Joshi Harshada , Kanase Suraj
Published: March 2024

Purpose of the Study: This research investigates postoperative gait alterations in individuals aged 50 and above who underwent total knee arthroplasty (TKA) at least one year ago. The study aims to fill existing gaps in literature by comprehensively assessing various gait parameters and understanding the persistent changes in mobility following TKA. Materials and Methods: Conducted as an observational study, 30 TKA subjects were assessed using Kinovea software for gait parameters, including cadence, speed, step length, step width, stride length, and knee flexion angle. Statistical analysis with MS Excel compared obtained values with established norms. Results: Significant gait parameter alterations were observed in post-TKA subjects. These changes include decreased cadence, walking speed, step length, and stride length, along with variations in knee flexion angle. Approximately 36.67% of participants exhibited alterations in these parameters, highlighting the need for further understanding of mobility challenges post-TKA. Conclusion: This study contributes vital insights into the persistent impact of TKA on gait parameters, emphasizing the complexity of postoperative mobility changes. The observed alterations highlight the importance of tailored rehabilitation programs to enhance functional independence and address long-term gait concerns in this patient population.
Adaptation to climate impacts on rice production: an analysis of dry zone farmers in central Myanmar
Authors: Win Maung T , Charoenratana S
Published: March 2024

We explore the agroecological methods that rice farmers of Myanmar employ for adapting to climate change, the factors influencing their adaptation strategies, the extent of their adaptive capacity (AC), and the connection between AC and rice yield. We randomly selected 197 farming households in 2 villages for a community-based survey. To collect qualitative data, 7 key informant interviews and 2 focus group discussions were conducted in 2 sampled villages in Kyaukse Township, Mandalay Region. The study utilized descriptive analysis, multiple regression (MR) analysis, and an adaptive capacity index for data examination. The most practiced adaptation strategies among rice farmers with high AC included crop diversification (adopted by 98% of farmers), utilization of climate-resistant varieties (92%), and modification of planting techniques (87%). The MR analysis revealed that personal factors, such as level of education and years of agricultural practice, along with social factors, such as access to credit, irrigation, cooperative memberships, participation in training, and access to information dissemination, were significant positive determinants of the farmers’ choice of adaptation methods. Farmers with high AC were found to have a higher rice yield (4506.46 kg ha-1) compared to those with low AC (3392.56 kg ha-1). The overall AC was assessed to be at a moderate level (0.53) for farmers in these communities. It is recommended that relevant government and private entities promote community education and communication networks to foster adaptation initiatives. The improvement of irrigation and credit facilities in a systematic and strategic manner would meaningfully enhance the long-term AC of farmers.
Haplosporidium nelsoni and Perkinsus marinus occurrence in waters of Great Bay Estuary, New Hampshire
Authors: Stasse A , Lee BY , Brown B
Published: March 2024

In Great Bay Estuary, New Hampshire, USA, Haplosporidium nelsoni and Perkinsus marinus are 2 active pathogens of the eastern oyster Crassostrea virginica (Gmelin), that cause MSX (multinucleated sphere with unknown affinity ‘X’) and dermo mortalities, respectively. Whereas studies have quantified infection intensities in oyster populations and determined whether these parasites exist in certain planktonic organisms, no studies thus far have examined both infectious agents simultaneously in water associated with areas that do and do not have oyster populations. As in other estuaries, both organisms are present in estuarine waters throughout the Bay, especially during June through November, when oysters are most active. Waters associated with oyster habitats had higher, more variable DNA concentrations from these pathogenic organisms than waters at a non-oyster site. This finding allows for enhanced understanding of disease-causing organisms in New England estuaries, where oyster restoration is a priority.
Creation and the Great Parent: The Thought of Yang Tingyun, a Chinese Christian in Late Ming China
Authors: Xie Dingjian
Published: March 2024

The paradigm shift from missiology to the study of the Chinese indigenous context has driven scholars in the area of Christianity in late imperial China to the Chinese reactions to the Catholic missions, either positive or negative. As an influential yet controversial model, Jacques Gernet's approach to Chinese responses to Catholicism in late imperial China has been recognised as an essentialist analysis of both Christianity and China, which are treated in that approach as two confrontational and monolithic entities. This article, by contrast, explores the dynamics of Chinese Christians' reception of Christian teaching by focusing on the interiorisation of creation theology in Yang Tingyun, one of the earliest Chinese Catholics in Late Ming China. While accepting the Christian idea that God created the world out of nothing ( ex nihilo), Yang has to respond to the cosmogonic discourses advocated by Song Confucians, who exerted considerable influence on Confucianism in the Ming dynasty. Moreover, his way of expounding the Great Parent, Dafumu, as the Creator and Sustainer further shows an active engagement with both the Christian idea of creation and Chinese traditional discourses of cosmology and ethics. Approaching this concept of the Great Parent will provide a window into Chinese Catholic theology in the seventeenth and eighteenth centuries. 1
Makine Öğrenimi İle Binek Otomobil İhracat Tahmini: MLP ve RBF Modeli Kullanımı
Authors: GÜR Yunus Emre , EŞİDİR Kamil Abdullah , KALDIRIMCI Şahin Göktuğ
Published: March 2024

Yapay Sinir Ağları (YSA), makine öğrenmesi alanında yaygın olarak kullanılan etkili bir yöntemdir ve tahmin yapmada başarılı sonuçlar sağlayabilir. YSA, biyolojik sinir sisteminden ilham alınarak matematiksel bir model oluşturur. Bu çalışmada, Türkiye'nin aylık binek otomobil ihracatını tahmin etmek için Yapay Sinir Ağı yaklaşımlarından Multilayer Perceptron (MLP) ve Radial Basis Function (RBF) modelleri kullanılmıştır. Geliştirilen sinir ağı modelleri, Türkiye'nin aylık binek otomobil ihracatını tahmin etmek için tasarlanmıştır. Bağımlı değişken olarak binek otomobil ihracat değeri kullanılırken, bağımsız değişkenler arasında Türkiye'nin aylık binek otomobil ithalatı, Amerikan Doları Kuru, Türkiye ithalatı, yeni otomobil satış adedi, motorlu kara taşıtları üretim endeksi ve yurt dışı üretici fiyat endeksi gibi faktörler bulunmaktadır. Türkiye İstatistik Kurumu ve Türkiye Cumhuriyet Merkez Bankası'ndan elde edilen aylık veriler (Ocak 2010 - Kasım 2023, 167 ay süresince) kullanılarak, Aralık 2023 ile Haziran 2024 arasındaki 7 aylık binek otomobil ihracat değerleri tahmin edilmiştir. İki farklı sinir ağı modelinin performansı karşılaştırılarak, tahminlerin farklılıkları ve sonuçları analiz edilmiştir. Bu çalışma, MLP modelinin RBF modele göre daha iyi sonuçlar verdiği sonucuna ulaşmıştır. Elde edilen sonuçlar, gelecekte binek otomobil ihracatının nasıl şekillenebileceği hakkında önemli bilgiler sunmaktadır.
Flow physics during durge of an axial-centrifugal compressor
Authors: Li Jiaan , Kong Weihan , Zou Xueqi , Liu Xiwu , Wang Baotong , Zheng Xinqian
Published: March 2024

Aerodynamic instability design is one of the crucial elements when designing a compressor. Unstable phenomenon such as surge harms the compressor in both performance and structure integrity. The complex unsteady flow process during instability strongly relates to the compressor design. This paper investigates the transient instability process using URANS on a three-stage-axial and one-stage-centrifugal combined compressor under its off-design conditions. Results show that the compressor suffers two surge patterns. The mild surge happens first, with a higher frequency than the traditional mild surge. Then, with the decrease of valve opening, the deep surge is initiated, and the axial stages work at the peak pressure ratio because the mass flow rate is limited by the choked radial diffuser. Moreover, analysis of aerodynamic loads reveals that IGV and the first rotor have the largest unsteady force among all blade rows. According to the flow field, the rotor root and stator tip suffer the most serious impulse caused by reversed flow during surge conditions.
Biologically active secondary metabolites from white-rot fungi
Authors: Pinar Orkun , Rodríguez-Couto Susana
Published: March 2024

In recent years, there has been a considerable rise in the production of novel metabolites derived from fungi compared to the ones originating from bacteria. These organic substances are utilized in various sectors such as farming, healthcare, and pharmaceutical. Since all dividing living cells contain primary metabolites, secondary metabolites are synthesized by utilizing intermediate compounds or by-products generated from the primary metabolic pathways. Secondary metabolites are not critical for the growth and development of an organism; however, they exhibit a variety of distinct biological characteristics. White-rot fungi are the only microorganisms able to decompose all wood components. Hence, they play an important role in both the carbon and nitrogen cycles by decomposing non-living organic substrates. They are ubiquitous in nature, particularly in hardwood (e.g., birch and aspen) forests. White-rot fungi, besides ligninolytic enzymes, produce different bioactive substances during their secondary metabolism including some compounds with antimicrobial and anticancer properties. Such properties could be of potential interest for the pharmaceutical industries. Considering the importance of the untapped biologically active secondary metabolites from white-rot fungi, the present paper reviews the secondary metabolites produced by white-rot fungi with different interesting bioactivities.
Synthesis and biological evaluation of pyridylpiperazine hybrid derivatives as urease inhibitors
Authors: Akash Muhammad , Zaib Sumera , Ahmad Matloob , Sultan Sadia , Al-Hussain Sami A.
Published: March 2024

Urease, a nickel-dependent enzyme found in various life forms, catalyzes urea breakdown, concluding nitrogen metabolism by generating ammonia and carbamate. This process causes a rise in pH, supports the survival of pathogens, and can lead to infections such as gastric disorders like ulcers and cancer in humans. Helicobacter pylori employs urease for survival in the acidic environment of the stomach and in protein synthesis. To treat such infections and inhibit the growth of pathogens, it is mandatory to obstruct urease activity; therefore, derivatives of 1-(3-nitropyridin-2-yl)piperazine were synthesized (5a-o; 7a-k). All these newly synthesized compounds were investigated for urease inhibition by in vitro inhibition assays. The results showed that 5b and 7e are the most active inhibitors, having IC50 values of 2.0 ± 0.73 and 2.24 ± 1.63 µM, respectively. These IC50 values are lower than the IC50 value of the standard thiourea, which was 23.2 ± 11.0 µM. The hemolysis potential of 5b, 5c, 5i, 7e, and 7h was also determined; 7e and 7h exhibited good biocompatibility in human blood cells. Through in silico analysis, it was shown that both these potent inhibitors develop favorable interactions with the active site of urease, having binding energies of −8.0 (5b) and −8.1 (7e) kcal/mol. The binding energy of thiourea was −2.8 kcal/mol. Moreover, 5b and 7e have high gastrointestinal permeability as predicted via computational analysis. On the other hand, the IC50 value and binding energy of precursor compound 3 was 3.90 ± 1.91 µM and −6.1 kcal/mol, respectively. Consequently, 5b and 7e can serve as important inhibitors of urease.
Healthcare needs in elderly patients with chronic heart failure in view of a personalized blended collaborative care intervention: a cross sectional study
Authors: Gostoli Sara , Bernardini Francesco , Subach Regina , Engelmann Petra , Jaarsma Tiny , Andréasson Frida , Rasmussen Sanne , Thilsing Trine , Eilerskov Natasja , Bordoni Barbara , Della Riva Diego , Urbinati Stefano , Kohlmann Sebastian , Rafanelli Chiara
Published: March 2024

Introduction

Few studies explored healthcare needs of elderly heart failure (HF) patients with comorbidities in view of a personalized intervention conducted by Care Managers (CM) in the framework of Blended Collaborative Care (BCC). The aims of the present study were to: (1) identify perceived healthcare needs/preferences in elderly patients with HF prior to a CM intervention; (2) investigate possible associations between healthcare needs/preferences, sociodemographic variables (age; sex) and number of comorbidities.

Method

Patients aged 65 years or more affected by HF with at least 2 medical comorbidities were enrolled in the study. They were assessed by structured interviewing with colored cue cards that represented six main topics including education, individual tailoring of treatment, monitoring, support, coordination, and communication, related to healthcare needs and preferences.

Results

Thirty-three patients (Italy = 21, Denmark = 7, Germany = 5; mean age = 75.2 ± 7.7 years; males 63.6%) were enrolled from June 2021 to February 2022. Major identified needs included: HF information (education), patients' involvement in treatment-related management (individual tailoring of treatment), regular checks of HF symptoms (monitoring), general practitioner update by a CM about progression of symptoms and health behaviors (coordination), and telephone contacts with the CM (communication). Regarding communication modalities with a CM, males preferred phone calls (χ2 = 6.291, p = 0.043) and mobile messaging services (χ2 = 9.647, p = 0.008), whereas females preferred in-person meetings and a patient dashboard. No differences in needs and preferences according to age and number of comorbidities were found.

Discussion

The findings highlight specific healthcare needs and preferences in older HF multimorbid patients, allowing a more personalized intervention delivered by CM in the framework of BCC.
Construction of a nomogram risk prediction model for prolonged mechanical ventilation in patients following surgery for acute type A aortic dissection
Authors: Yu Yun , Wang Yan , Deng Fang , Wang Zhigang , Shen Beibei , Zhang Ping , Wang Zheyun , Su Yunyan
Published: March 2024

Background

This study aims to analyze the risk factors associated with prolonged mechanical ventilation (PMV) in patients following surgical treatment for acute type A aortic dissection (ATAAD). The objectives include constructing a predictive model for risk assessment and validating its predictive efficacy.

Methods

A total of 452 patients diagnosed with ATAAD and undergoing surgical procedures at a tertiary hospital in Nanjing between January 2021 and April 2023 were selected using a convenience sampling method. Patients were categorized into two groups: PMV group (n = 132) and non-PMV group (n = 320) based on the occurrence of prolonged mechanical ventilation (PMV), and their clinical data were compared. The data were randomly divided into a modeling set and a validation set in a 7:3 ratio. Risk factors for PMV were identified in the modeling group using logistic regression analysis. A risk prediction model was constructed using R 4.1.3 software, visualized via a column chart. Receiver Operating Characteristic (ROC) curves were generated using the validation set to assess model differentiation. Calibration curves were plotted to evaluate accuracy and consistency, and Decision Curve Analysis (DCA) was applied to evaluate clinical utility.

Results

The logistic regression analysis identified age, body mass index, preoperative white blood cell count, preoperative creatinine, preoperative cerebral hypoperfusion, and cardiopulmonary bypass time as significant risk factors for postoperative PMV in patients with ATAAD. The area under the curve (AUC) for the validation set ROC curve was 0.856, 95% confidence interval (0.805–0.907), indicating good discrimination. Calibration curves revealed strong alignment with the ideal curve, and the Hosmer-Lemeshow goodness-of-fit test indicated a well-fitted model (P = 0.892). The DCA curve demonstrated a high net benefit value, highlighting the model's strong clinical utility.

Conclusions

The risk prediction model developed in this study for PMV in patients undergoing surgery for ATAAD exhibits robust predictive performance. It provides valuable insights for healthcare practitioners in predicting the likelihood of PMV and devising timely and personalized intervention strategies.
Designing effective STEM courses: a mixed-methods study of the impact of a STEM education course on teachers’ self-efficacy and course experiences
Authors: Zhumabay Nurman , Yelemessova Zhaudir , Balta Nuri , Abylkassymova Alma , Bakytkazy Tannur , Marynowski Richelle
Published: March 2024

Science, technology, engineering, and mathematics (STEM) fields play a critical role in the advancement of society and are expected to grow rapidly in the coming years. This study examines the development of a STEM education course and its impact on teachers’ self-efficacy and course experiences. The study involves a mixed-methods approach, using survey and course assignment results gathered from 52 mathematics master’s degree candidates who took an online STEM education course. Teachers’ self-efficacy, STEM knowledge, reflections from reading materials, and lesson plans were quantitatively analyzed while content analyses was employed for the teachers’ opinions on the role of each STEM subject and overall course evaluation. Results showed a significant increase in teachers’ self-efficacy in teaching STEM subjects after completing the course. Additionally, teachers reported positive experiences related to course content, activities, and assignments. The study provides insights into the design and implementation of effective STEM courses and provides practical implications for designing operative STEM courses.
The emerging role and clinical significance of circRNAs in papillary thyroid cancer
Authors: Ma Jing , Xu Jing , Zhang Xiaoqi , Quan Jinxing
Published: March 2024

Papillary thyroid cancer (PTC) is the most common type of thyroid malignancy, and its global incidence has been gradually increasing. For advanced PTC, the mortality rates are also increasing yearly. Despite advancements in diagnosis and treatment, some advanced PTC exhibit aggressive behaviors, leading to a poor prognosis. CircRNAs are a class of non-coding RNAs characterized by a covalently closed loop structure. Their stability and abundance have positioned them as promising diagnostic and prognostic biomarkers. Numerous studies have identified dysregulated circRNAs in PTC tissues and cell lines, suggesting their involvement in PTC initiation and progression. In this review, we provide an overview of circRNAs and systematically discuss their role in PTC. CircRNAs affect cancer progression by regulating the Wnt/β-catenin, PI3K/AKT, MAPK pathways, and others. Furthermore, circRNAs have been implicated in PTC metastasis and chemoresistance. We highlight their potential value as diagnostic markers, therapeutic targets, and prognostic indicators. In conclusion, circRNAs play a critical role in PTC, and dysregulated circRNAs influence multiple signaling pathways and cellular processes involved in tumorigenesis and metastasis. It represents a promising avenue for advancing the diagnosis, management, and treatment of PTC.
Phenotype of early-onset fetal growth restriction in sheep
Authors: Sutherland Amy E. , White Tegan A. , Rock Charmaine R. , Piscopo Beth R. , Dudink Ingrid , Inocencio Ishmael M. , Azman Zahrah , Pham Yen , Nitsos Ilias , Malhotra Atul , Yawno Tamara , Polglase Graeme R. , Jenkin Graham , Camm Emily J. , Allison Beth J. , Miller Suzanne L.
Published: March 2024

Introduction

Fetal growth restriction (FGR) is a common pregnancy complication, caused by placental insufficiency, with serious adverse consequences for development in utero and postnatal wellbeing. There are no antenatal treatments to improve growth or organ development in FGR, and animal models are essential to mimic the physiological adaptations in FGR and to assess potential interventions. This study aimed to identify the temporal nature of reduced developmental trajectory in fetuses with FGR, and to examine the effects of common factors that may mediate differential growth such as glucocorticoid treatment. We hypothesised that the trajectory of growth would be adversely impacted by FGR.

Methods

FGR was induced via surgical placental insufficiency in fetal sheep (89 days gestation/0.6 gestation; n=135) and compared to age-matched controls over the last third of gestation and into neonatal life (n=153).

Results

Body weight of FGR fetuses/lambs was significantly reduced compared to controls (p<0.0001) from 127 days of gestation (term is 148 days), with increased brain:body weight ratio (p<0.0001) indicative of brain sparing. All biometric measures of body size were reduced in the FGR group with the exception of biparietal (head) diameter. The trajectory of body growth in the last trimester of sheep pregnancy was significantly reduced in the FGR group compared to controls, and stillbirth rate increased with longer gestation.

Discussion

This work provides a well characterised FGR animal model that mimics the known physiological adaptations in human pregnancy and can be used to determine the efficacy of potential interventions.
The effects of green finance on the carbon decoupling of marine fishery: analysis based on Tapio method and EKC model
Authors: Xu Weicheng , Zhu Yiying
Published: March 2024

Marine fishery, with its duality of carbon emission and carbon sink, is an industry that needs full attention during achieving carbon neutrality. In this paper, the decoupling index between net CO2 emissions and gross domestic product of marine fishery in China is calculated using Tapio model, and its evolution characteristics are analyzed by means of nuclear density map and Markov matrix. Some problems are found, such as the decoupling state lacked significant improvement during this period and was unstable. Through theoretical analysis, this paper puts forward the view that solving these problems requires support from green finance. Then, this paper selects panel data from 11 coastal provinces and cities in China from 2010 to 2020 and uses the Logit model and EKC model to investigate the impact of green finance on the carbon decoupling state of marine fishery. The main results of this study are as follows: 1) Green finance can increase the odds ratio of strong or weak decoupling in marine fishery. This effect is more significant in regions with a high degree of digital finance development and the eastern marine economic circle. The effect of green investment is more significant than green insurance. In addition, boosting technological innovation and reducing the proportion of coal consumption can strengthen this effect. 2) The EKC curve between net CO2 emissions and gross domestic product of marine fishery is N-shape, which has a deterioration point. Green finance can delay the arrival of the deterioration point, meaning it can prevent the rapid deterioration of the decoupling state with the development of marine fishery. This paper provides empirical evidence and decision-making reference for resolving the dilemma of carbon decoupling in China’s marine fishery.
Framework for multi-stressor physiological response evaluation in amphibian risk assessment and conservation
Authors: Awkerman Jill A. , Glinski Donna A. , Henderson W. Matthew , Meter Robin Van , Purucker S. Thomas
Published: March 2024

Controlled laboratory experiments are often performed on amphibians to establish causality between stressor presence and an adverse outcome. However, in the field, identification of lab-generated biomarkers from single stressors and the interactions of multiple impacts are difficult to discern in an ecological context. The ubiquity of some pesticides and anthropogenic contaminants results in potentially cryptic sublethal effects or synergistic effects among multiple stressors. Although biochemical pathways regulating physiological responses to toxic stressors are often well-conserved among vertebrates, different exposure regimes and life stage vulnerabilities can yield variable ecological risk among species. Here we examine stress-related biomarkers, highlight endpoints commonly linked to apical effects, and discuss differences in ontogeny and ecology that could limit interpretation of biomarkers across species. Further we identify promising field-based physiological measures indicative of potential impacts to health and development of amphibians that could be useful to anuran conservation. We outline the physiological responses to common stressors in the context of altered functional pathways, presenting useful stage-specific endpoints for anuran species, and discussing multi-stressor vulnerability in the larger framework of amphibian life history and ecology. This overview identifies points of physiological, ecological, and demographic vulnerability to provide context in evaluating the multiple stressors impacting amphibian populations worldwide for strategic conservation planning.