bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Inheritance and Innovation of Traditional Dance in College Art Education
Authors: Wei Yanpeng
Published: November 2024

As an important part of the traditional culture of the Chinese nation, the traditional dance has a profound historical accumulation and
rich cultural connotation. Integrating traditional dance into art education in colleges and universities is not only conducive to the protection
and inheritance of cultural heritage, but also is an important means to cultivate students comprehensive quality. By learning traditional dance,
students can enhance their sense of identity and pride in national culture, cultivate their artistic accomplishment, and improve their aesthetic
ability and creativity. At the same time, as an important position of cultural inheritance, colleges and universities shoulder the responsibility of
protecting and carrying forward the traditional culture, so it is necessary to incorporate the traditional dance into the system of art education.
Thoughts on Mental Health Education of Vocational College Student in the Era of We-Media from a Positive Psychology Perspective
Authors: Li Xue
Published: November 2024

In the era of we media , vocational college students are faced with multiple challenges such as information explosion and social
pressure. How to effectively deal with these challenges and maintain physical and mental health has become an urgent problem in the field of
education. Positive psychology emphasizes on the positive characteristics and strength of individuals, advocates to stimulate the inner potential of individuals to cope with the challenges in life, and provides valuable inspiration and guidance for the mental health education of vocational college students. By paying attention to and cultivating students positive emotional experience, exploring and stimulating their positive
potential and building a comprehensive positive support system, we can better promote the development of vocational students mental health,
effectively cope with the challenges brought by the era of we media , and train them to become high-quality skilled talents with healthy psychological quality.
Stimulating the Potential of Private High School Teachers: Innovative Strategies to Promote Cohesion and
Work Motivation
Authors: Li Beibei
Published: November 2024

This paper first analyzes the career challenges commonly faced by teachers in private high schools, such as burnout, limited development, and insufficient incentives, and then proposes measures to enhance teachers team cohesion and motivation, including optimizing
the salary structure, constructing a personalized career development plan, reinforcing the professional growth support system, enhancing the
team s cultural identity, and implementing diversified incentives. Practice has shown that these strategies have obvious effects in improving
teachers job satisfaction, promoting teamwork, and enhancing teaching quality. This paper not only provides private high schools with new
ideas to enhance the stability of the teaching force, but also contributes to the improvement of the overall quality of education.
Study on the Modernization of Governance System and
Governance Ability and the Construction of Teaching Quality
Assurance System in Vocational Undergraduate Schools
Authors: Hu Siyang
Published: November 2024

With the deepening of education reform in our country, vocational college plays a more and more important role in training highquality applied talents. This paper studies the modernization of the governance system and governance ability of vocational college schools
and the construction of teaching quality assurance system, aiming at providing effective governance paths and teaching quality assurance
strategies for vocational college schools.
Analysis and Countermeasures of the Current Situation
of Government Procurement in Colleges and Universities under the New Situation
Authors: Wang Yi
Published: November 2024

The implementation of the Government Procurement Law of the People s Republic of China in universities is not only a requirement for regulating the procurement behavior of higher education institutions, but also a need for the development of universities themselves.
Due to various factors, there are many problems in the implementation process of government procurement in current higher education institutions. Analyze the current problems in government procurement in universities and provide some specific suggestions and measures for reference.
Analysis of the Main Influencing Factors of Plateau Phenomenon in Chinese Normal University Latin Competitors
Authors: Zhan Chao , Kostov Zlatin
Published: November 2024

This article investigates the primary factors contributing to the plateau phenomenon observed in Latin dance competitors from
Chinese normal universities. Through a comprehensive analysis of training methodologies, psychological influences, and environmental
conditions, the study aims to identify the key elements that hinder progress at intermediate and advanced levels. By examining these factors,
the research provides insights into optimizing training programs and support systems to enhance the performance and growth of Latin dance
athletes in this specific educational context.
Research on Incentive Mechanism for Graduate Students Research and Innovation in the Context of Educational Powerhouse
Authors: Zhao Yishen
Published: November 2024

In the context of a strategic vision of education as a driver of national strength, the optimisation of incentive mechanisms for postgraduate research innovation has emerged as a key area of focus within the current education policy landscape. The issues and underlying
causes are examined in detail from a range of perspectives, including Policy and regulations, academic environment, Incentive mechanism,
Mentor support. Ultimately, recommendations are presented regarding the improvement of the incentive mechanism, the reinforcement of tutor guidance, the optimisation of the evaluation system. These suggestions aim to provide theoretical and practical guidance for the optimisation of postgraduate research and innovation incentives, thereby enhancing the capabilities of postgraduate scientific research and innovation.
Pengisolasian dan Pengidentifikasian Salmonella enteritidis dan S. typhimurium pada Landak Mini Afrika Peliharaan di Banda Aceh dan Aceh Besar
Authors: Erina Erina , A.K M. Daud , Hasan M , Admi Masda , Roslizawaty Roslizawaty , Melia Juli , Geni Nindiana Lenggo
Published: November 2024

andak mini afrika (Atelerix albiventris) merupakan hewan eksotis yang berpotensi membawa dan menularkan penyakit zoonosis, salah satunya yaitu salmonellosis. Penelitian ini bertujuan untuk mengidentifikasi Salmonella sp. dari saluran pencernaan landak mini afrika. Sampel berupa ulas/swab anus 10 ekor landak mini afrika yang dipelihara di sekitar Banda Aceh dan Aceh Besar. Metode penelitian ini yaitu metode Carter yang dimodifikasi. Hasil swab anus landak mini Afrika dimasukkan ke dalam media Selenite Cystine Broth (SCB), apabila warna media menjadi orange dilanjutkan dengan penanaman bakteri pada media Salmonella Shigella Agar (SSA) untuk mengisolasi. Pengamatan morfologi secara makroskopis terhadap koloni yang tumbuh dilakukan berdasarkan ukuran, bentuk, permukaan, pinggiran koloni, elevasi dan warna, dilanjutkan dengan pewarnaan Gram untuk mengamati morfologi bakteri secara mikroskopis. Identifikasi dilanjutkan dengan penanaman bakteri pada media IMVIC (Indol, Methyl Red-Voges Proskuer, Sulfid Indol Motility, Simmon Citrate), Triple Sugar Iron Agar (TSIA), dan uji fermentasi gula-gula (glukosa, maltosa, laktosa, manitol, dan sukrosa). Data hasil penelitian dianalisis secara deskriptif, ditampilkan dalam bentuk gambar dan tabel. Hasil isolasi didapat bahwa pada sampel (100%) Salmonella sp. Berdasarkan hasil identifikasi ditemukan tujuh sampel (70%) Salmonella enteretidis dan tiga sampel (30%) S. thypymurium. Oleh sebab itu dapat disimpulkan bahwa pada saluran pencernaan landak mini afrika dapat diisolasi dua jenis Salmonella yaitu: S. enteritidis dan S. thypymurium.
Development of Urban Flood Forecasting System for Dhaka City Using MIKE+
Authors: Hossain Md Shahadat , Saiyara Noshin , Magumdar Tarun Kanti , Mazumder Liton Chandra , Islam Shafiqul , Hossain Md Sazzad , Raihan Sarder Udoy , Bhuyan Md Arifuzzaman
Published: November 2024

Dhaka, one of the fastest-growing megacities, is highly vulnerable to urban flooding due to rapid urbanization, inadequate drainage systems, and climate change-induced extreme weather events. This study describes the development of a comprehensive urban flood forecasting system for Dhaka City using the MIKE+ hydrodynamic model. The system integrates hydrological and hydraulic components, modeling complex interactions among surface runoff (pluvial), riverine overflow (fluvial), drainage networks, and overland flow dynamics. The model utilizes real-time data from river gauges, rainfall stations, and pump stations to enhance forecasting accuracy. Sensitivity analysis identified ten key parameters influencing model performance, which were adjusted during calibration. The model was calibrated and validated using historical flood events from 2019 to 2022, achieving strong performance metrics, including Nash-Sutcliffe Efficiency (NSE) greater than 0.65, Coefficient of Determination (R²) above 0.80, and Mean Absolute Error (MAE) less than 0.1 meters. The system was further tested using significant flood events from 2020 and 2021, cross-validated with flood marks and community-reported observations, ensuring reliability. This advanced urban flood forecasting tool supports decision-making and emergency response by providing early warnings and flood scenarios, enabling proactive flood management for a rapidly urbanizing city like Dhaka.
Weak Arbitrage Theorem Incorporating Loss Aversion
Authors: Lahiri Somdeb
Published: November 2024

We provide an extension of the “Arbitrage Theorem” with state-dependent linear utility functions for monetary gains and losses allowing for “loss aversion” in each possible state of nature.
Including Embodied Carbon in Assessing Renovation Options for Industrial Heritage Buildings: A Review and Case Studies
Authors: Huang Yidong , WANG Dr. FAN , Hiscock Alex Vidal , Satyarthi Jivantika , Smith Harry
Published: November 2024

Industrial buildings play vital roles in a society, from shaping the economic, technological, cultural, and social fabric of society, to contributing to its growth, development, and resilience. Hence often at the end of their lifespans, they are “preserved” for their historical value through renovation. In consideration for renovation, often included are their historical significance, structural integrity, adaptive reuse, social sustainability, financial viability and environmental impacts. Among them, the carbon emissions associated with a project are becoming increasingly a factor when a historical building is to be sensitively renovated so that it can continue to contribute to local sustainability. However, embodied carbon is often shadowed by operational carbon and overlooked in the development of renovation options. This paper aims to argue for the need to include embodied carbon in the consideration and for guidelines for doing so in a renovation process. The argument is through a systematic review of current practices in the renovations of industrial heritage buildings between selected presentative countries, the developing ones and developed ones, on the belief that the former could learn valuable lessons from the latter who has gone through the process already. The argument also shows the difference in policy between different countries and articulates how the inclusion of this might support environmental targets in developing countries. Based on quantitative comparison, the review explains why embodied carbon (EC) is missing in developing countries. The study estimates the proportion and value of EC with the total life cycle in renovations of industrial buildings to support the argument. Above all, a calculation using a standard LCA tool (ISO14040 & 14044) applied to four successful examples and quantitative comparison highlights the benefits of including embodied carbon in renovations of industrial buildings and the carbon savings in developing countries and further supports the argument.
On Some Series Involving Reciprocals of $\binom{2n}{n}$ and the Catalan's Constant $G$
Authors: Akerele Olofin , Adeshina Quadri
Published: November 2024

We investigate a class of combinatorial sums involving reciprocals of central binomial coefficients , employing generating functions as the primary solution technique to formulate and analyze series involving the Catalan's constant. Using a direct approach, we derive new identities through integral techniques.
Determination of Pesticide Residues in Fresh Fruits in the Republic of Serbia by LC-MS/MS
Authors: Kecojević Isidora , Mrkajić Danica , Tomović Vladimir , Bajić Biljana , Lazović Milana , Joksimović Ana , Tomović Mila , Martinović Aleksandra , Vujadinović Dragan , Stefanović Srđan , Đorđević Vesna
Published: November 2024

The concentrations of pesticide residues were determined in 2,164 samples of 46 fruits species, collected over a 4-year period. Fruits originated from 59 countries, including Serbia (N = 199). Pesticide residues were determined by the liquid chromatography tandem mass spectrometry (LC-MS/MS) after extraction by a modified QuEChERS protocol. A total of 173 pesticide residues were detected. 62.57% of fruit samples had pesticide residues at or above 0.01 mg/kg, and 4.67% of samples exceeded the maximum residue limits (MRLs) set by the Serbian regulation. MRL values were most often exceeded in pomegranate and citrus fruits (grapefruit and mandarin). Most frequently found pesticide was imazalil (detected in 624 samples, 28.84%) with the highest concentration (93.870 mg/kg) in a grapefruit sample. Multiple pesticides were detected in 50.92% of the fruit samples, and two grapefruit samples contained up to 44 pesticide residues.
Unsupervised Modeling of E-Customers’ Profiles: Multiple Correspondence Analysis with Hierarchical Clustering of Principal Components and Machine Learning Classifiers
Authors: Vrhovac Vijoleta , Orošnjak Marko , Ristić Kristina , Sremcev Nemanja , Jocanović Mitar , Spajić Jelena , Brkljač Nebojša
Published: November 2024

The rapid growth of e-commerce has transformed customer behaviours, demanding deeper insights into how demographic factors shape online user preferences. To understand the impact of these changes, this study performs a threefold analysis. Firstly, the study investigates how demographic factors (e.g., age, gender, education, income) influence e-customer preferences in Serbia. From a sample of n = 906 respondents, we test conditional dependencies between demographics and user preferences – “purchase frequency”, “the most important property when buying for the first time”, “the most important property before repeating a purchase”, and “reasons for quitting an online purchase”. From a hypothetical framework of 24 tested hypotheses, the study successfully rejects 8/24 (with p < 0.05), suggesting a high association between demographics with purchase frequency (p < 0.01) and reasons for quitting the purchase (p < 0.01). However, although reported test statistics suggest an association, understanding how interactions between categories shape e-customer profiles is lacking. As a consequence, the second part considers an MCA-HCPC (Multiple Correspondence Analysis with Hierarchical Clustering on Principal Components) to identify user profiles. The analysis reveals three main clusters : (1) young female unemployed e-customers driven mainly by customer reviews; (2) retirees and older adults with infrequent purchases, hesitant to buy without experiencing the product in person; (3) employed, highly educated, male midlife adults who prioritise fast and accurate delivery over price. In the third stage, the study uses identified clusters as labels for Machine Learning (ML) classification through the following algorithms: Gradient Boosting Machine (GBM), Decision Tree (DT), k-Nearest Neighbors (kNN), Gaussian Naïve Bayes (GNB), Random Forest (RF) and Support Vector Machine (SVM). The results suggest high classification performance of GBM (AUROC = 0.994), RF (AUROC = 0.994) and SVM (AUROC = 0.902) in identifying user profiles. Lastly, after performing Permutation Feature Importance (PFI), the findings suggest that age, work status, education, and income are the main determinants of shaping e-customer profiles and developing marketing strategies.
Mapping the Mind: The Role of Neural Fields, Brain Dynamics, and Surface Physics in Neurological Biomarkers
Authors: Montgomery Richard Murdoch
Published: November 2024

Abstract
The pursuit of understanding the brain’s complex mechanisms is at the forefront of neuroscience, especially in developing early diagnostic tools for neurological diseases. Advances in neural fields, brain dynamics, and the integration of applied physics have opened new possibilities for identifying biomarkers indicative of neurological conditions such as Alzheimer’s disease, schizophrenia, and ADHD. Each of these fields contributes uniquely: neural fields offer a spatially distributed model of brain activity, brain dynamics provide insights into temporal patterns and oscillations, and applied surface physics enhances the precision of neural interface technologies and imaging. Combined, they form a multidisciplinary foundation that allows researchers to study the brain’s intricate structures and functions with unprecedented clarity, revealing potential pathways for diagnosing and treating neurological disorders.
Advancements in Adenine Nucleotides Extraction and Quantification from a Single Drop of Human Blood
Authors: Popović Ivana , Dončević Lucija , Biba Renata , Košpić Karla , Barbalić Maja , Marinković Mija , Cindrić Mario
Published: November 2024

Adenine nucleotides (AN): adenosine 5’-triphosphate (ATP), adenosine 5’-diphosphate (ADP), and adenosine 5’-monophosphate (AMP) are essential for energy transfer and supply of countless processes within the cellular metabolism. Their concentrations can be expressed as adenylate energy charge (AEC), a measure of cellular metabolic energy that directly correlates with the homeostasis of the organism. AEC index can be used as a clinical health indicator with broad diagnostic potential, as a decrease in ATP levels is associated with various conditions, such as inflammatory diseases, metabolic disorders, and cancer. We introduce a novel methodology for rapid isolation, purification, and quantification of AN from just a drop of capillary blood obtained from a healthy volunteer. Of all the stationary phases tested, activated carbon proved to be the most efficient for the purification of adenine nucleotides, using an automated micro-solid phase extraction (µ-SPE) platform. By removing interfering substances, we achieved high chromatographic selectivity and resolution, facilitating the quantification of AN. The analyzed AN concentrations from capillary blood correspond to the values found in the literature, which corroborates reliability of the developed extraction method. Overall, this study presents a streamlined and precise approach for analyzing AN from microliters of blood that offers promising applications in clinical diagnostics.
Electron-Phonon Interaction in Non-Stoichiometric Bi2Sr2CaCu2O8+d Superconductor from the Diffuse Elastic Helium Atom Scattering
Authors: Benedek G. , Manson J. R. , Miret-Artés S. , Schmicker D. , Toennies J. P.
Published: November 2024

Previously helium atom scattering (HAS) has been shown to probe the electron-phonon interac-tion at conducting crystal surfaces via the temperature dependence of the specular peak intensity. This method is now extended to non-stoichiometric superconductors. The electron-phonon in-teraction, as expressed by the mass-enhancement factor λ is derived from the temperature de-pendence of the diffuse elastic scattering intensity, which specifically depends on the non-stoichiometric component responsible for superconductivity. The measured value of the mass-enhancement factor for Bi2Sr2CaCu2O8+ξ at the optimal doping ξ = 0.16 is λ=0.55±0.08 in good agreement with values of λ recently estimated with other methods. This confirms the relevant role of electron-phonon interaction also in high-temperature non-stoichiometric cuprate superconductors.
Cryopreservation in Lavender Trumpet Tree (Handroanthus impetiginosus) Seeds
Authors: Campos Thiago Souza , Pereira Vania M. , Merzougui Soumaya EL , Beleski David , Pérez Héctor E. , Pivetta Kathia Fernandes Lopes , Vendrame Wagner A.
Published: November 2024

In response to the near-threatened status of Handroanthus impetiginosus, primarily due to habitat loss and illegal logging, this study examines how X-ray imaging and cryopreservation impact the seed quality and viability essential for conservation. Seeds initially had a moisture content of 12.3%, reduced to 6.5% through desiccation. X-ray imaging allowed detailed visualization of internal structures, identifying seeds as normal, abnormal, or dead based on damage and development. Normal seeds consistently germinated and produced healthy seedlings, while those with internal damage or excessive desiccation either resulted in abnormal seedlings or did not germinate. Various cryopreservation treatments were tested, including storage at -80°C and liquid nitrogen immersion (LN), with and without vitrification solutions (PSV2; PVS3; PSV2 + 1% phloroglucinol; PSV3 + 1% phloroglucinol). Results indicated that immersion in LN without cryoprotectants achieved the highest germination and seedling viability, whereas vitrification solutions, such as PVS2 and PVS3, negatively affected germination. The study demonstrates that X-ray imaging is an effective tool for assessing seed quality and detecting internal damage, while cryopreservation without cryoprotectants is suitable for long-term seed storage. This work highlights the benefits of combining X-ray assessment with optimized cryopreservation techniques to support conservation of threatened species.
Biotechnological Use of Penicillium sp. 8L2: Biosorption of Cu(II), Synthesis and Biocidal Effect of CuO Nanoparticles
Authors: Muñoz Antonio J , Espínola Francisco , Moya Manuel , Martín Celia , Ruiz Encarnación
Published: November 2024

Copper contamination of terrestrial and aquatic ecosystems is a major global environmental problem. Copper is a metal used in many industrial and agricultural processes that is bioaccu-mulative and highly toxic, making its elimination, recovery and reuse of great interest for en-vironmental sustainability. The potential of a ubiquitous microorganism, Penicillium sp. 8L2, to retain Cu(II) ions was investigated, as well as the ability of its cellular extract to synthesise CuO nanoparticles, which were subsequently evaluated as biocidal agents against five microorgan-isms. A response surface methodology was used to determine the optimal operating conditions of the biosorption process, setting the pH at 4.8 and the biomass concentration at 0.8 g/L, ob-taining a maximum biosorption capacity at equilibrium of 25.79 mg/g for the Langmuir model. Different analytical techniques were used to study the biosorption mechanisms, which revealed the presence of surface adsorption and intracellular bioaccumulation phenomena involving dif-ferent functional groups. The fungal cell extract allowed the successful synthesis of CuO-NPs with an average size of 22 nm. The biocidal tests performed with the nanoparticles showed promising values of minimum inhibitory concentrations between 62.5 and 500 µg/ml. Penicillium sp. 8L2 showed good potential for its application in the field of heavy metal bioremediation and for the green synthesis of nanoparticles useful in biomedicine.
Combined Barrier-Target Coverage for Directional Sensor Network
Authors: Kósa Balázs , Bukovinszki Márk , Michaletzky Tamás Vilmos , Tihanyi Viktor
Published: November 2024

Over the past twenty years, camera networks, where individual cameras can function both independently and together, have become increasingly popular. Various application fields may impose distinct requirements on camera networks. In response to these demands, several coverage models have been developed in the scientific literature, such as area, trap, barrier, and target coverage. In this paper, a new type of coverage task, the Maximum Target Coverage with k-Barrier Coverage (MTCBC-k) problem is defined. Here, the goal is to cover as many moving targets as possible from time step to time step, while continuously maintaining k-barrier coverage over the region of interest (ROI). This approach is different from independently solving the two tasks and then merging the results. Generally, multiple camera configurations can ensure k-barrier coverage. The challenge is to find, at each time step, the optimal configuration where the cameras providing barrier coverage can also assist in covering targets, while the rest of the cameras efficiently cover the remaining targets. An ILP formulation for the MTCBC-k problem is presented. Additionally, two types of camera clustering methods have been developed. This approach allows for solving smaller ILPs within clusters, and combining their solutions. Furthermore, a polynomial-time greedy algorithm has been introduced as an alternative to solve the MTCBC-k problem. The conducted simulations convincingly supported the usefulness of both the clustering and the greedy methods.
Exploring the Footprint of COVID‐19 on the Evolution of Public Bus Transport Demand Using GIS
Authors: González-Escobar Rafael , Vega Naranjo Juan Miguel , Jiménez-Espada Montaña , Vivas Jonathan Galeano
Published: November 2024

The scope of the research work described in this article involved identifying the effects of the COVID-19 pandemic on the urban public transport system in a medium-sized city and its adjacent metropolitan area, using as reference information the number of tickets effectively sold in order to determine the fluctuation in the volume of passengers on the different bus lines before, during and after the pandemic. At the methodological level, a combined approach was employed, involving, on the one hand, the collection of open access public data from institutional repositories and in-formation provided by the government and, on the other hand, network analysis and graphical mapping using GIS tools. The results obtained at the micro level (individualised study of each urban bus line) reveal a significant decrease in the number of passengers during the pandemic, showing the effect of mobility restrictions and the fear of contagion. However, a gradual recovery in post-pandemic demand has been observed, highlighting a large variability in recovery patterns between different bus lines. Such a situation could be attributable to several factors, such as the socio-demographic characteristics of the areas served, the frequency of the service, connectivity with other modes of transport and users' perception of the quality of the service. At the macro level (comparison between urban and interurban transport), lines with higher demand prior to the pandemic have shown greater resilience and faster recovery. However, urban transport has ex-perienced a more uniform and accelerated recuperation than interurban transport, with significant percentage differences in the years analysed. This disparity could be explained by the greater dependence of inhabitants on urban transport for their daily trips, due to its greater frequency and geographical coverage. Interurban transport, on the other hand, shows a more fluctuating demand and a lower dependence of users. Finally, the lack of previous research focused on the impact of the pandemic in sparsely populated rural areas restricts the ability to establish a solid frame of ref-erence and generalise the results of this study. The authors consider that more detailed future research, including a comparative analysis of different alternative transport modes in inter-urban settings and considering a broader set of socio-demographic variables of passengers, is needed to better understand mobility dynamics in these areas and their evolution in the context of the pandemic.
Pd@CuMoO4 Polyoxometalate as an Efficient and New Heterogeneous Catalyst for the Suzuki‐Miyaura and Sonogashira‐Hagihara Coupling Reactions
Authors: Sansano Jose M. , Gholinejad Mohammad , Karimzadeh Hawzhin
Published: November 2024

This study investigates the preparation, characterization, and catalytic activity of a novel palladium-doped copper molybdate polyoxometalate (Pd@CuMoO4). Using a mere 19 ppm of palladium, Pd@CuMoO4 demonstrated excellent yields in both Suzuki-Miyaura and Sonogashira-Hagiwara coupling reactions of aryl halides with boronic acids and alkynes, respectively. The synergistic effects between the different metals in this catalyst were confirmed to be responsible for its high catalytic performance. Additionally, Pd@CuMoO4 was successfully recovered and recycled multiple times in the Suzuki-Miyaura reaction with minimal loss of activity. The structural integrity of the reused catalyst was evaluated through various analytical techniques.
Aliens Among Us: Sensitivity of the Invasive Alien Fish Black Bullhead Ameiurus melas as a Bioindicator of Pollution and Its Safety for Human Consumption
Authors: Kostić Jovana , Đorđević Aleksić Jelena , Višnjić-Jeftić Željka , Nikolić Dušan , Marković Zoran , Kračun-Kolarević Margareta , Tasić Aleksandra , Jaćimović Milica
Published: November 2024

This study aims to evaluate the black bullhead Ameiurus melas, an invasive alien fish (IAF) in Serbia, as a bioindicator organism and the safety of natural and aquaculture specimens for human consumption. A set of biomarkers was analysed to assess the bioindicator potential at site exposed to agricultural activities. The genotoxic response was determined by alkaline comet assay and micronucleus assay in fish erythrocytes, and the metal pollution index (MPI) was calculated to assess the toxic element burden on fish. Water quality was evaluated using physicochemical pa-rameters and faecal indicator bacteria, while the sediment was analysed for the presence of pesti-cides. The concentration of metals and metalloids in fish muscle was monitored to assess the safety for human consumption, and the corresponding indices (MAC, THQ, HI) were calculated. All biomarker responses were linked by integrated biomarker response (IBR). Water analyses indi-cated the absence of communal wastewater, while sediment analysis revealed the presence of paclobutrazol, bifenthrin, and cyfluthrin. The IBR showed that June and September had the highest stress index, coinciding with peak pesticide use and precipitation. All indices confirmed the safety of black bullhead for human consumption. This study highlighted used approaches as nature-based solutions to the problem of IAF.
Evaluation of the Learning Curve Threshold in Robot-Assisted Thoracic Surgery for Lung Cancer: A Nationwide Population-Based Study
Authors: Pages Pierre Benoit , Cottenet Jonathan , Madelaine Leslie , Dhérissard Florian , Abou-Hanna Halim , Bernard Alain , Quantin Catherine
Published: November 2024

Background: Recent publications suggest that the threshold for validation of the learning curve is 25 procedures. The aim of this study was to evaluate this threshold using another method which is little used, based on a composite quality indicator. Methods: We included all patients from the French medico-administrative database receiving robot-assisted surgery for lung cancer between 2019 and 2022 in hospitals performing at least 25 procedures. For postoperative complications analysis we used the Clavien-Dindo classification. We used the sequential probability ratio test to estimate the number of procedures from which a team achieved its learning curve. Results: In France, the number of robotic-assisted procedures has risen steadily over the years: 195 in 2019 and 1,567 in 2022: overall, 28 teams performed 3,707 Robot-Assisted surgery for lung cancer. The total number of patients with Clavien-dindo classification > II was 833 (24.7%). Among the 28 hospitals, 8 achieved their learning curve with a threshold ranging from 94 to 174 procedures, and a median of 110. Severe complications such as acute respiratory distress syndrome, respira-tory failure, heart failure, acute ischemia of the lower limbs and pulmonary embolism were signif-icantly more frequent in the group of hospitals that did not validate the learning curve threshold. Conclusion: This study suggests that the threshold of 25 procedures may not be sufficient enough to validate the robot-assisted surgery learning curve in lung cancer surgery. To significantly re-duce postoperative complications, a team would need to perform between 94 to 174 procedures to guarantee patient safety.
Onkoloji Hastalarının Kanser Türlerine Göre Yaşam Kalitesi, Kaygı ve Antropometrik Ölçümlerinin Değerlendirilmesi
Authors: Özgün Gözde , Türker Perim Fatma , Kaya Bektaş
Published: November 2024

Amaç: Bu çalışmanın amacı yetişkin onkoloji hastalarında kanser türlerine göre yaşam kalitesi, kaygı, depresyon ve bazı antropometrik ölçümlerin değerlendirilmesidir.
Gereç ve Yöntem: Çalışma 18-64 yaş arası 99 erkek, 102 kadın olmak üzere toplam 201 gönüllü onkoloji hastası ile gerçekleştirilmiştir. Hastaların sosyo-demografik özellikleri, hastalık ve antropometrik ölçümlere ilişkin bilgileri anket formuyla kaydedilmiştir. Hastaların yaşam kalitesi “Avrupa Kanser Tedavi ve Organizasyon Komitesi Yaşam Kalitesi Ölçeği’’ (EORTC QLQ-C30), anksiyete ve depresyon durumu “Hastane Anksiyete ve Depresyon Ölçeği’’ (HAD) kullanılarak değerlendirilmiştir.
Bulgular: GİS kanseri olan erkek hastalar GİS dışı kanser türlerine göre daha düşük vücut ağırlığı, BKİ, üst orta kol çevresi, bel ve kalça çevresi ile bel/kalça ve bel/boy oranı ortalamalarına sahiptir (p0.05). Depresyon ve kaygı ile kanser türleri arasında önemli bir fark bulunmamıştır (p>0.05). Hastaların genel sağlık durumu puan ortalaması 53.7±21.9’dur. Fonksiyonel ölçeklerde en yüksek puanı bilişsel, en düşük puanı da sosyal fonksiyondan aldıkları saptanmıştır. Semptom ölçeğinde en yüksek puan ortalaması yorgunluk maddesinde görülürken en yoğun görülen dört semptom yorgunluk, mali sorunlar, uyku bozukluğu ve ağrı olarak saptanmıştır. Kadınlar erkeklere göre daha düşük fonksiyonel ölçek ve fiziksel fonksiyon ölçek puanlarına ve daha yüksek yorgunluk, bulantı kusma puanlarına sahiptir (p
Serebral Palsili Çocukların Fidgety Dönemdeki Beyin Gelişimlerinin Motor Repertuarlarına Yansıması: Pilot Çalışma
Authors: Kahraman Aysu , Porsnok Doğan
Published: November 2024

Amaç: Bu çalışma serebral palsili bebeklerin zaman içindeki beyin gelişimlerinin motor repertuarlarına nasıl yansıdığını belirlemek amacıyla yapılmıştır.
Gereç-Yöntem: Düzeltilmiş yaşları 3-5 ay arasında olan beş serebral palsili bebek çalışma grubuna ve beş tipik gelişimli bebek kontrol grubuna dahil edildi. Herbir bebeğin postterm 9-16 haftalar arasında çekilmiş spontan motor hareketlerini gösteren iki videosu detaylı general movements analiz ile değerlendirildi.
Bulgular: İkinci değerlendirmede çalışma grubundaki iki bebeğin motor optimalite skorları artarken, ikisininki azaldı, birininki ise değişmedi. Kontrol grubunda ise üç bebeğin motor optimalite skoru artarken, ikisininki değişmedi.
Sonuç: Serebral palsili bebeklerde motor optimalite skorun artması veya aynı kalması bu bebeklerdeki nöroplastisitenin varlığının bir göstergesi olabilir. Ancak varolan bu nöroplastisitenin arttırılması bebeğin nörogelişimsel sonuçları açısından oldukça önemlidir.
KOVİD-19 Pandemisinde Ergoterapi Öğrencilerinin Okupasyonel Denge, Zihinsel Sağlık Yükü ve Sosyal Problem Çözme Becerilerinin İncelenmesi
Authors: Bahadır Agce Zeynep , Torpil Berkan
Published: November 2024

Amaç: Bu çalışmada, Kovid-19 pandemisi döneminde üniversite öğrencilerinin sosyodemografik özelliklerinin okupasyonel dengeye etkisi ve okupasyonel denge, zihinsel sağlık yükü ve sosyal problem çözme becerileri arasındaki ilişkiler incelenmiştir.Gereç ve Yöntem: Çalışmaya yaşları 18 ila 30 arasında değişen 233 üniversite öğrencisi katıldı. Çalışma kesitsel bir çalışma olarak tasarlandı, veri toplamak için anketler çevrimiçi dağıtıldı. Öğrencilerin okupasyonel dengesi, Aktivite-Rol Dengesi Anketi 11 Türkçe Versiyonu (ARDA11-T), zihinsel sağlık yükü Depresyon Anksiyete Stres Ölçeği (DASÖ-21), sosyal problem çözme becerileri, Sosyal Sorun Çözme Becerileri Envanteri Kısa Formu (SSÇE-KF) ile değerlendirildi. Ölçeklerin ilişkileri Pearson Korelasyon testiyle analiz edildi. Değişkenlerin okupasyonel denge üzerindeki etkisi doğrusal Kesitsel Regresyon Analizi ile incelendi. Bulgular: DASÖ-21'in kesme değerlerine göre ortalama zihinsel sağlık yükleri normal sınırlardaydı. Okupayonel denge ile depresyon, anksiyete ve stres arasında negatif, sosyal problem çözme becerileri ile pozitif bir ilişki bulundu. Regresyon analizi sonuçları, değişkenlerin okupasyonel dengedeki değişimin %24’ünü açıkladığını gösterdi. Bu etkinin sosyal problem çözme becerileri için 0,177, depresyon için -0,307 ve stres için ise -0,180 düzeyinde olduğu belirlendi.Sonuç: Sonuçlar, pandemi döneminin üniversite öğrencilerinin zihinsel sağlık yükü üzerinde olumsuz bir etkisinin varlığını doğrulamadı, ancak daha yüksek okupasyonel dengenin daha iyi zihinsel sağlık yükü ve sosyal problem çözme becerileri ile önemli ölçüde ilişkili olduğunu gösterdi. Üniversite öğrencilerinde okupasyonel dengeyi geliştirmek için zihinsel sağlık yükünü azaltmaya ve sosyal problem çözme becerilerini geliştirmeye yönelik stratejiler uygun olabilir.
Анализ динамики эпидемического процесса COVID-19 в мире за неделю с 02.11.2024 г. по 08.11.2024 г.
Authors: Зимирова Анастасия , Поспелов Михаил , Иванова Александра , Карнаухов Игорь , Щербакова Светлана , Кутырев Владимир , Дмитриева Людмила , Чумачкова Елена
Published: November 2024

В обзоре представлен анализ эпидемиологической ситуации в странах мира по COVID-19 за неделю с 02.11.2024 г. по 08.11.2024 г.
A clustering-based survival comparison procedure designed to study the Caenorhabditis elegans Model
Authors: Grollemund Paul-Marie , Poupet Cyril , Comte Elise , Bonnet Muriel , Veisseire Philippe , Bornes Stéphanie
Published: November 2024

Caenorhabditis elegans is highly important in current research, serving as a pivotal model organism that has greatly advanced the understanding of fundamental biological processes such as development, cellular biology, and neurobiology, helping to promote major advances in various fields of science. In this context, the survival of a nematode under various conditions is commonly investigated via statistical survival analysis, which is typically based on hypothesis testing, providing valuable insights into the factors influencing its longevity and response to various environmental factors. The extensive reliance on hypothesis testing is acknowledged as a concern in the scientific analysis process, emphasizing the need for a comprehensive evaluation of alternative statistical approaches to ensure a rigorous and unbiased interpretation of research findings. In this work, we propose an alternative method to hypothesis testing for evaluating differences in nematode survival. Our approach relies on a clustering technique that takes into account the complete structure of survival curves, enabling a more comprehensive assessment of survival dynamics. The proposed methodology helps to identify complex effects on nematode survival and enables us to derive the probability that treatment induces a specific effect. To highlight the application and benefits of the proposed methodology, it is applied to two different datasets, one simple and one more complex.
Hydrogen-Rich Water as a potential strategy for improving ruminant nutrition and mitigating methane emissions
Authors: Mao Kang , Lu Guwei , Zang Yitian , Qiu Qinghua , Zhao Xianghui , Ouyang Kehui , Qu Mingren , Li Yanjiao
Published: November 2024

The objective of this study was to evaluate the effects of different concentrations of hydrogen-rich water (HRW) on in vitro rumen fermentation characteristics and the dynamics of bacterial communities. The experimental design included four treatment groups: control group (CON), 200ppb HRW group (HRW200ppb), 400ppb HRW group (HRW400ppb), and 800ppb HRW group (HRW800ppb). Each group was analyzed at 12-hour (h) and 48-hour (h) time points with five replicates, totaling 40 samples. The results showed that the highest gas production and methane content were observed in the 800ppb HRW group among the four groups. However, the 200ppb HRW group had significantly lower methane content during both 12 h and 48 h fermentations compared to the other treatment groups (P < 0.05). In terms of rumen fermentation indicators, the 400ppb HRW group significantly increased the levels of ammonia nitrogen (NH3-N) and microbial crude protein (MCP), but reduced the dry matter degradation rate at 12 h fermentation (P < 0.05). After the 48 h fermentation, the HRW400ppb group had the highest MCP content (P < 0.05), but there were no significant differences in NH3-N and dry matter degradation rate compared to the CON group (P > 0.05). Although HRW did not significantly benefit the synthesis of total volatile fatty acids (TVFA) and individual VFA, the HRW800ppb group significantly increased the ratio of acetate to propionate (P < 0.05). Based on these results, we selected the HRW400ppb group for subsequent bacterial community analysis. Bacterial community analysis showed that compared with the CON group, the HRW400ppb group had significant increases in the Simpson index, Firmicutes, Streptococcus, Schwartzia, Prevotellaceae_YAB2003_group, and Oribacterium, and significant decreases in the Prevotella, Ruminobacter, Succinivibrio, unclassified Succinivibrionaceae, and Prevotellaceae_UCG-003 at 12 h fermentation (P < 0.05). As fermentation time extended to 48 h, the differential bacterial communities changed. The abundance of Prevotellaceae_YAB2003_group and Oribacterium significantly increased, while the abundance of Rikenellaceae_RC9_gut_group and Succiniclasticum significantly decreased in the HRW group (P < 0.05). Correlation analysis revealed the negative associations between CH4 and Streptococcus. Moreover, the abundance of Rikenellaceae_RC9_gut_group positively correlated with the CH4. Collectively, these results indicate that HRW can modulate rumen fermentation and microbial community structure to reduce methane emissions without significantly affecting VFA synthesis, highlighting its potential as drinking water for enhancing ruminant nutrition and mitigating the environmental impact of livestock farming.
Predicting CTCF’s cell type-specific binding sites in human genome
Authors: Chai Lu , Gao Jie , Li Zihan , Wang Yunjie , Liu Junjie , Wang Yong , Zhang Lirong , Sun Hao
Published: November 2024

The CCCTC-binding factor (CTCF) is pivotal in orchestrating diverse biological functions across the human genome, yet the mechanisms driving its cell type-specific DNA binding affinity remain underexplored. Here, we collected ChIP-seq data from 67 cell lines in ENCODE, constructed a unique dataset of cell type-specific CTCF binding sites (CBS), and trained convolutional neural networks (CNN) to dissect the patterns of CTCF binding specificity. Our analysis reveals that transcription factors RAD21/SMC3 and chromatin accessibility are more predictive compared to sequence motifs and histone modifications. Integrating them together achieved AUC values consistently above 0.868, highlighting their utility in deciphering CTCF transcription factor binding dynamics. This study provides a deeper understanding of the regulatory functions of CTCF via machine learning framework.
Development and Validation of a Prediction Model for Chronic Thromboembolic Pulmonary Disease
Authors: Liu Guixiang , Wen Jing , Lv Chunyi , Liu Mingjie , Li Min , Fang Kexia , Fei Jianwen , Zhang Nannan , Li Xuehua , Wang Huarui , Sun Yuanyuan , Zhu Ling
Published: November 2024

Background: Acute pulmonary embolism (APE) is a critical disease with a high mortality rate, some of the surviving patients may develop chronic thromboembolic pulmonary disease (CTEPD), which affects the patient’s prognosis. However, the research on the early diagnosis of CTEPD is limited. This study aimed to establish a prediction model for earlier identification of CTEPD.
Methods: This prospective study included 464 consecutive patients with acute pulmonary embolism (APE) confirmed between January 2020 and September 2023, at 7 centers from China. After follow-up for at least 3 months, the patients were divided into the CTEPD and non-CTEPD groups based on symptoms and computed tomography pulmonary angiography (CTPA) or pulmonary ventilation perfusion (V/Q) scans showing residual thrombosis. The independent risk factors for CTEPD were identified via univariate and multivariate logistic regression analyses. Next, a nomogram of predictive model was established, and validation was completed via decision curve analysis (DCA) and receiver operating characteristic curve analysis.
Result: In total, 130 (28%) patients presented with CTEPD. Based on the multivariate analysis, a time interval from symptoms onset to diagnosis (time-to-diagnosis) ≥ 15 days (95% confidence interval [CI]: 3.392–14.972, p < 0.001), recurrent pulmonary embolism (RPE) (95%CI: 1.560–17.300, p = 0.007), right ventricular dysfunction (RVD) (95%CI: 1.042–6.437, p = 0.040), central embolus (95%CI: 1.776–7.383, p < 0.001) and residual pulmonary vascular obstruction (RPVO) > 10% (95%CI: 4.884–21.449, p < 0.001) were identified as the independent predictors of CTEPD. Then, A prediction model with a C-index of 0.895 (95% CI 0.863-0.927) was established for high-risk patients. The nomogram had an excellent predictive performance for earlier identification of CTEPD, with an area under the curve of 0.908 (95%CI: 0.875–0.941) in the training cohort and 0.875 (95%CI: 0.803–0.947) in the validation cohort.
Conclusion：The current study established and validated a reliable nomogram for predicting CTEPD, which could assist clinicians identify the high-risk patients for CTEPD earlier and intervene CTEPH in advance.