bluuebunny/crossref_metadata_2025 huggingface dataset:
A Needle's Misdirection: Unravelling Vascular Injuries in Malpositioned Central Venous Catheters and Safe Removal Approaches
Authors:   Department of cardiothoracic Surgery, Hospital Sultan Idris Shah, Ministry of Health Malaysia, Kajang, Selangor, Malaysia., Han Sue Anne , Khalis Ahmad ,   Department of cardiothoracic Surgery, Hospital Sultan Idris Shah, Ministry of Health Malaysia, Kajang, Selangor, Malaysia., Siang Kan Chan ,   Department of cardiothoracic Surgery, Hospital Sultan Idris Shah, Ministry of Health Malaysia, Kajang, Selangor, Malaysia., Salleh Ahmadi ,   Department of cardiothoracic Surgery, Hospital Sultan Idris Shah, Ministry of Health Malaysia, Kajang, Selangor, Malaysia., Mohamad Arif MN ,   Department of cardiothoracic Surgery, Hospital Sultan Idris Shah, Ministry of Health Malaysia, Kajang, Selangor, Malaysia.
Published: September 2024

Central venous catheters (CVC) are commonly inserted to obtain vascular access. Complications such as vascular injuries arising from malpositioned CVC may occur, and safe surgical removal is required to prevent further complications. We retrospectively reviewed all patients treated in the cardiothoracic surgery department at our institution in the past 10 years for intrathoracic vascular injuries in malpositioned CVC without the need for concurrent cardiac or thoracic surgical procedures. Among the 21 patients in our series, 2 patients (10%) had a single arterial injury, 16 patients (76%) had venous injuries only, and 3 patients (14%) had both arterial and venous injuries. 16 patients (76%) underwent surgery to remove the malpositioned CVC; majority of them underwent sternotomy (n=12, 57%) and 7 of them had repair of blood vessels, and 4 patients (19%) underwent video assisted thoracoscopic surgery (VATS). 2 out of the 5 patients who had their CVC directly removed followed by external compression required emergency sternotomy due to pericardial effusion. In patients with artery or mediastinal vessel injuries, a sternotomy approach was preferred, whereas VATS was chosen when subclavian vessels or brachiocephalic vein injuries were noted. Endovascular procedures are alternatives for high surgical risk patients, but these advanced procedures are currency limited due to high expertise and facilities requirements.
Emotional competencies of the nurse manager: A scoping review protocol
Authors: Porfírio Catarina Raquel Ferreira , Coelho Márcia Silva , Mota Mauro , Sequeira Carlos Alberto da Cruz , Santos Margarida Reis , Pires Regina Maria Ferreira
Published: September 2024

Nursing work is increasingly complex and demanding. In this sense, the development of emotional competencies by nurse managers is crucial as a response to current challenges in health management. This scoping review aims to map the emotional competencies of nurse managers. The scoping review will be carried out according to the guidelines established by the Joanna Briggs Institute and PRISMA-ScR and will include studies on nurse managers' emotional competencies. Both published and unpublished studies written in english, portuguese or spanish will be considered. When selecting the articles, the duplicates will be removed. The relevance of the titles, abstracts and full texts will be analyzed. Data extraction will be carried out using an instrument previously designed for this purpose, based on the model in the Joanna Briggs Institute Manual. The results will be presented in flowcharts, tables and narrative synthesis. The literature research carried out previously made it possible to identify some of the emotional competencies of nurse managers, such as motivation, empathy and self-control. This review will contribute to identify the emotional competencies of nurse managers.
Utilização da cera de abelha para conservação de mamões como alternativa ao filme PVC
Authors: Conceição Vanessa Rocha da , Santos Junior Jailton Ribeiro dos , Souza Jane Delane Reis Pimentel , Mazzutti Simone , Guedes Gerson Barbosa , Franca Gisele Nunes , Freitas Denise Ribeiro de
Published: September 2024

Para reduzir o uso de plástico no ambiente doméstico, foi desenvolvido o "pano ecológico", feito de tecido de algodão recoberto com cera de abelha, como alternativa ao filme PVC. O presente estudo teve como objetivo de verificar se a embalagem elaborada com cera de abelha e tecido de algodão mantém a conservação dos parâmetros físico-químicos e sensoriais do mamão após o corte mantido em refrigerador quando comparado a utilização do filme PVC. A metodologia adotada foi um estudo laboratorial de natureza qualitativa e quantitativa. Para isso, mamões cortados ao meio foram conservados na geladeira por 10 dias, e analisados nos dias 0, 2, 4, 6, 8 e 10 para perda de massa, sólidos solúveis totais, pH, cor e aparência. Os resultados mostraram que, embora a embalagem de tecido e cera de abelha tenha sido inferior ao filme PVC na perda de massa, garantiu uma perda de peso inferior a 10%. Os dados de pH, sólidos solúveis totais e cor não apresentaram diferenças significativas durante o armazenamento. Em termos de aparência, os tratamentos não se diferenciaram, com ambas as embalagens mantendo notas acima de regulares até o 10º dia. Quanto à aceitação, mais de 50% dos julgadores consideraram os frutos acondicionados nas duas embalagens aptos para consumo. Em 10 dias de armazenamento a 10°C, a embalagem de tecido e cera de abelha mostrou-se uma alternativa viável ao filme PVC para conservação de mamão cortado.
Análise da taxa de sucesso e insucesso no retratamento endodôntico não cirúrgico de molares em uma população brasileira
Authors: Monteiro Juliana Franco , Mendes Jessica Monteiro , Araújo Ana Clara Alves , Caram Cristiane Melo , Tavares Marcelo , Oliveira Maria Antonieta Veloso Carvalho de
Published: September 2024

Objetivo: avaliar, de forma retrospectiva e observacional, a taxa de sucesso no retratamento endodôntico de molares ao longo de 11 anos em uma população brasileira. Metodologia: 280 casos foram analisados a partir dos dados clínicos de prontuários odontológicos e radiografias periapicais digitais, obtidos na Clínica Odontológica Particular EndoMais (Uberlândia/Minas Gerais/Brasil), no período de maio/2012 à maio/2023. Todos os retratamentos averiguados foram realizados com o uso de microscópio operatório e por uma única endodontista. O Índice Periapical (PAI) foi utilizado para complementar a análise radiográfica, por meio da quantificação da presença de alterações periapicais. Após aplicação dos critérios de inclusão e exclusão obteve-se um número total de 56 casos. Resultados: a taxa de sucesso dos retratamentos endodônticos de molares ocorreu em 67,85% dos casos. Dentre os 32,15% casos de insucesso, 12,5% e 7,14% possuíam sinais e sintomas clínicos, respectivamente, 28,57% possuíam lesão periapical, 32,14% ainda apresentavam obturação insatisfatória e 3,57% selamento insatisfatório. Conclusão: a infecção intrarradicular, relacionada a tratamento endodôntico inadequado, e a infecção extrarradicular são os principais fatores causais de falhas no retratamento endodôntico. Qualidade da obturação e do selamento coronário devem ser levadas em consideração como pontos críticos para uma maior longevidade do tratamento.
Savatra Antik Kenti’nde Tespit Edilen Tanrı ve Tanrıçalar
Authors: Işık İlker , Akbulut Elif Zülal
Published: September 2024

Bu çalışmada Savatra ve çevresindeki arkeolojik bulgular nezdinde görülen inançlar ile bunların bölgedeki dönemsel nitelikleri ele alınmıştır. Lykaonia’nın doğusunda, günümüzde Konya il sınırlarında yer alan Savatra etnik, kültürel ve siyasi duruma bağlı olarak Lykaonia - Galatia Bölgeleri arasında sınır bölgesi olmuştur. Tarihsel süreçte hem askeri hem de ticari statüde sayılan önemli yol ağlarının kesişme noktasında bulunan bu kent, zaman zaman Lykaonia zaman zaman ise Galatia Bölgesi sınırlarına dâhil edilmiştir. Yerleşim tarihi açısından Erken Tunç Çağı’na kadar giden bir geçmişe sahip olan kentte Phryg kültürü başta olmak üzere Hellenistik ve Roma dönemlerinin kültürel ve dinsel izleri karşımıza çıkmaktadır. Bu doğrultuda Hellen ve Roma tanrıları olarak bilinen Zeus, Eirene, Asklepios, Athena, Ares, Aphrodite, Tykhe ve Roma İmparatorluk Kültü’ne ait tapımlar antik kentte ağırlıklı olarak görülmekle beraber Anadolu’nun yerel inançlarından biri olan Men kültünün de varlığı burada izlenebilmektedir. Kentteki tanrı ve tanrıçaların varlığı tespit edilen yazıtlar, sikkeler ile heykeltıraşlık eserler üzerinden incelenmiştir. Ayrıca bölgenin jeostratejik ve coğrafi özelliklerine göre de tanrısal varlıkların Savatra için önemi ifade edilmek istenmiştir. Söz gelimi sikkeler üzerinde görülen nehir tanrısı tasvirinin nedenleri üzerinde durularak bunun iklim ve coğrafi şartlara göre değerlendirilmesi yapılmıştır. Tespit edilen diğer tanrıların ise epitetleri ve tasvirleri yardımıyla hangi amaca ve ihtiyaca yönelik tapınım gördüğü yorumlanarak anlaşılmaya çalışılmıştır.
TREND ANALYSIS AND CORRELATION OF TOURIST, RESTAURANT AND HOTEL VISITS IN KUNINGAN REGENCY
Authors: Hesananda Rizki , Trihandoyo Agus , Wiliani Ninuk , Rahmawati Nidya Sari
Published: September 2024

This study conducts an in-depth analysis of the tourism sector in Kuningan Regency, focusing specifically on hotel stays, tourist arrivals, and restaurant visits. Utilizing forecasting models and correlation analyses, the research aims to uncover trends and interdependencies within the sector. The primary objective is to identify actionable insights that can inform data-driven decision-making. The study employs the FBProphet algorithm for forecasting future trends and conducts Kendall correlation analysis to examine relationships among key variables. Data collected spans a time series of 84 months, from January 2016 to December 2022. FBProphet accurately predicts trends in hotel stays, while variations exist in predictions for tourist arrivals and restaurant visits. Mean values for hotel stays, tourist arrivals, and restaurant visits are 21,098.67, 135,647.33, and 130,660.83, respectively. Kendall correlation analysis reveals a moderate positive correlation (0.214, p-value = 0.004) between tourist arrivals and restaurant visits, a strong positive correlation (0.324, p-value = 1.291e-05) between tourist arrivals and hotel stays, and a weaker positive correlation (0.176, p-value = 0.019) between restaurant visits and hotel stays. These findings underscore the intricate dynamics of Kuningan Regency's tourism sector, providing stakeholders with critical insights for strategic planning. The research contributes significantly to sustainable growth initiatives by guiding stakeholders in leveraging the interconnected elements of tourism and making well-informed decisions.
INTEGRATION OF TELEGRAM BOT AND UPTIME KUMA FOR WI-FI NETWORK MONITORING USING MIKROTIK
Authors: Nurjanah Siti , Sembiring Falentino , Ayuningsih Rieska Rahayu
Published: September 2024

Wi-Fi network monitoring is a crucial aspect in ensuring the availability and security of widely used internet services. This research confirms the use of Telegram bots for notification integration with the Uptime-Kuma monitoring program and proxy devices for Wi-Fi network monitoring. The main router and network controller in this study were Mikrotik devices, while Uptime Kuma was used as a monitoring tool to track the performance and availability of the Wi-Fi network. When important events are discovered on the network, network administrators can receive quick notifications through integration with Telegram bots. In the context of Wi-Fi networks, the Security Policy Development Life Cycle (SPDLC) method is used to design relevant and effective security policies. It includes the stages of planning, implementation, monitoring, evaluation and regular updating of security policies to maintain optimal levels of security. The results  show that the integration of Telegram bots with the Kuma Uptime monitoring tool can improve network availability. This allows quick reaction to Uptime and Downtime reports in network conditions, which record the percentage of time network services are available. Thus, administrators do not need to wait for complaints from users if the connection is suddenly lost, because changes in connection status will automatically send a notification to Telegram.
XGBOOST HYPERPARAMETER OPTIMIZATION USING RANDOMIZEDSEARCHCV FOR ACCURATE FOREST FIRE DROUGHT CONDITION PREDICTION
Authors: Alamsyah Nur , Budiman Budiman , Yoga Titan Parama , Alamsyah R Yadi Rakhman
Published: September 2024

Climate change and increasing global temperatures have increased the frequency and intensity of forest fires, making fire risk evaluation increasingly important. This study aims to improve the accuracy of predicting forest fuel drought conditions (Drought Code) by using the XGBoost algorithm optimized with RandomizedSearchCV. The research methods include collecting data related to forest fires, preprocessing data to ensure quality and consistency, and using RandomizedSearchCV for XGBoost hyperparameter optimization. The results showed that the optimized XGBoost model resulted in a decrease in Mean Squared Error (MSE) and an increase in R-squared value compared to the default model. The optimized model achieved an MSE of 0.0210 and R2 of 0.9820 on the test data, indicating significantly improved prediction accuracy for forest fuel drought conditions. These findings emphasize the importance of hyperparameter optimization in improving the accuracy of predictive models for forest fire risk assessment.
PREDICTING GEN-Z PERSONALITY ON TWITTER BASED ON BIG FIVE MODEL WITH KNN AND SVM
Authors: Darmawan Aang Kisnu , Alfarisi Salman , Hozairi Hozairi
Published: September 2024

Generation Z is a group that is very connected to digital technology, especially social media such as Twitter. Their widespread presence on these platforms creates a unique opportunity to understand their behavioural patterns and personalities. However, research on personality prediction on social media is still limited and focused on certain platforms or different age groups. Personality prediction can help to find out someone's personality by just looking at tweets on social media. This research aims at two things: first, to build a Gen-Z personality prediction model on Twitter based on the Big Five Personality Model with the K-Nearest Neighbor (KNN) algorithm and Support Vector Machine (SVM). Second, test and compare the performance of previously generated personality prediction models with various evaluation metrics. The research results show that the KNN algorithm has an accuracy rate of 0.73%, precision of 0.73%, recall of 0.73%, and score of 0.72%. Based on the test results, the SVM algorithm obtained the best accuracy, which received an accuracy of 0.78%, precision of 0.82%, recall of 0.78%, and F1-score of 0.78%. This research contributes in two ways: first, scientifically, by understanding Gen-Z personalities on Twitter, and second, by developing new prediction methods and insights into Gen-Z behaviour. Second, practically, by helping with communication and marketing strategies, product/service development and social interventions for Gen-Z.
DESIGNING AN ANDROID-BASED FUTSAL BOOKING APP USING FCFS AND MULTILEVEL FEEDBACK QUEUE ALGORITHMS
Authors: Ardani Rega Listya , Sani Asrul
Published: September 2024

The improvement of data innovation has affected the advancement of human life, moving from ordinary strategies to present day computerized strategies. One application of data innovation in everyday life is online planning and booking. This investigate points to design an Android-based futsal field booking application utilizing the Primary Come To begin with Serve (FCFS) and Multilevel Input Line (MLFQ) calculations.This application is expected to energize clients in making futsal field reservations viably and effectively. The modify strategy utilized in this ask generally is Remarkable Programming (XP). The FCFS calculation was chosen for its straightforwardness in serving requests based on range arrange, though the MLFQ calculation endowments prioritization based on noteworthiness or specific criteria, engaging crucial bookings to be taken care of speedier. The comes approximately of this think approximately appear that the planned application capacities well concurring to client needs and gives ease inside the futsal field booking handle. By combining these two calculations, the application is expected to make a versatile and versatile reservation system, which isn't because it were compelling in directing booking lines but additionally sensible for all clients. The utilization of this application outlines exceptional potential in advancing the quality of futsal field booking organizations and can serve as a appear for making comparable applications in other ranges.
VTUBER PERSONAS IN DIGITAL WAYANG: A REVIEW OF INNOVATIVE CULTURAL PROMOTION FOR INDONESIAN HERITAGE
Authors: Hermawan Hellik , Subarkah Pungkas , Utomo Anwar Tri , Ilham Fatah , Saputra Dhanar Intan Surya
Published: September 2024

This study investigates the integration of VTuber into Wayang Digital as a strategic initiative to promote Indonesian cultural heritage. By leveraging advanced technologies such as real-time motion capture and artificial intelligence (AI), the project aims to enhance the animation quality and interaction of VTuber, creating a more immersive and engaging experience for audiences. The research focuses on three key aspects: VTuber integration's effectiveness in attracting international audiences, optimizing real-time motion capture for high-quality animation, and applying AI algorithms to create adaptive, responsive interactions between VTubers and their viewers. Through these innovations, the study aims to enrich the narrative and visual appeal of Wayang Digital, making it more accessible and appealing to a diverse global audience. The findings show that integrating advanced technologies enhances Wayang Digital's storytelling, aesthetics, and effectiveness as a powerful tool for cultural promotion. AI-enabled adaptive interactions create a personalized viewer experience, deepening audience connections with the traditional art form. High-quality animation preserves and effectively communicates Wayang's cultural nuances to audiences, enhancing its impact and cultural promotion. This study underscores the importance of continuous technological innovation and strategic implementation in the preservation and globalization of Indonesian heritage through digital media, suggesting that the future of cultural preservation lies in the seamless integration of tradition with cutting-edge technology.
Türkiye’de Kâğıt Sanayi
Authors: Gökmen Özgür , Özçağlar Ali
Published: September 2024

Araştırmada Türkiye’deki kâğıt sanayinin geçmişi incelenmiş ve günümüzdeki durumu güncel verilerle ortaya konmuştur. Makalenin yöntemi olarak araştırmanın konu kapsamına uygun olan zaman serisi analizi tercih edilmiştir. Çalışmada öncelikle Osmanlı Devleti’ndeki kâğıt işletmeleri ve üretim girişimleri açıklanmıştır. Sonraki adımda Genç Türkiye Cumhuriyeti’nin dışa bağımlılığını azaltma amacıyla kâğıt sanayisini kurma ve geliştirme girişimleri üzerinde durulmuştur. Türkiye’de modern kâğıt sanayi 1934 yılında İzmit’te kurulmuştur. Sümerbank’a bağlı olan İzmit Kâğıt Fabrikaları , Sanayi Bakanlığına bağlanmış ve Türkiye Selüloz ve Kâğıt Fabrikaları İşletmesi (SEKA) Genel Müdürlüğü adını almıştır. Araştırmada Türkiye’deki kâğıt fabrikaları kuruluş (ilk dönem 1934-1961),bölgelere yayılma (1970-1984), özelleştirme ve günümüz (1998-2023) olmak üzere üç dönemde incelenmiştir. Ayrıca Avrupada kâğıt üretiminde ilk sırada yer alan Almanya ve Türkiye’nin kâğıt üretimindeki sayısal değerleri karşılaştırılmıştır. Sonuç olarak Türkiye’deki kâğıt sanayinin her yıl dış ticaret açığı veren sektör haline geldiği, selüloz üretiminde yetersiz kalındığı ve doğal kaynak potansiyelinin harekete geçirilemediği ortaya çıkarılmıştır. Bu bağlamda coğrafi bakış açısıyla değerlendirilen bazı öneriler sunulmuştur.
MODIFICATION OF A QUANTUM-INSPIRED GENETIC ALGORITHM FOR NUMERICAL OPTIMIZATION USING QUDIT UNDER CONDITIONS OF SIMULATING QUANTUM DECOHERENCE
Authors:   MIREA - Russian Technological University, Moscow, Russian Federation, MASLENNIKOV V.V. , DEMIDOVA L.A.
Published: September 2024

The genetic algorithm for numerical optimization (GA) of the metaheuristic class is a method for finding optimal solutions based on the biological principles of natural selection and variability. GA is characterized by high operating speed, resistance to noise in the data, low probability of hitting the local extremum of the multimodal objective function, as well as the simultaneous application of probabilistic and deterministic rules for generating search space points. An alternative to the classical GA is the quantum-inspired genetic algorithm for numerical optimization (QIGA), which has advantages that are unattainable for GA by using the concepts and principles of quantum computing. The article proposes a new approach to the implementation of a quantum-inspired genetic numerical optimization algorithm for searching for the global maximum of the objective function, based on modeling the functioning of the GA by simulating the execution of quantum calculations based on qudit in the conditions of the existence of quantum decoherence in the era of noisy medium-scale quantum algorithms. For this purpose, to carry out quantum operations of rotating the states of multilevel quantum systems, the paper presents a density matrix based on Heisenberg-Weyl operators as an analogue of the Bloch sphere for qudits. The simulation of quantum decoherence is interpreted from the point of view of the influence of extraneous noise emanating from the environment on the qudit and is presented as the use of a normal random variable with zero mathematical expectation and unit variance in quantum gates. At the same time, the work presents detailed pseudocodes of the functioning of both the most modified quantum-inspired genetic algorithm for numerical optimization and its individual operations. Testing is carried out by conducting computational experiments with the implementation of a modified algorithm on two-dimensional and multidimensional functions of test optimization problems, as well as when solving an applied optimization problem of planning hybrid flow production in the manufacturing industry based on financial costs and solving the problem of increasing forecasting accuracy based on compact extreme learning machines. The experimental results demonstrate the superiority of the new algorithm over QIGA and classical optimization algorithms in the accuracy of the solution, the speed of convergence with the target value of the global maximum and the execution time of the algorithm.
DEVELOPMENT OF AN INTELLIGENT CONTROL ALGORITHM FOR A GROUP OF UNMANNED AERIAL VEHICLES
Authors:   Pskov State University, Pskov, Russian Federation, LONDIKOV V.A. , LUKANOV S.YU. , TIMOSHEVSKAYA O.YU.
Published: September 2024

At the current moment, the development of scientific and technological progress is being update. In particular, the development and widespread use of unmanned aerial vehicles is particularly relevant. These technological innovations are capable of solving a whole range of tasks in completely different areas of human life, both domestic and professional. One of the subtasks of applying these solutions is the use of groups of unmanned aerial vehicles. However, a problem arises related to their control in space, which requires the development of new algorithms and approaches to its solution. The main purpose of the presented article is to perform an analysis regarding the issue of controlling a group of unmanned aerial vehicles. The paper presents the results of the development of the author's interpretation of an algorithm designed to control a group of unmanned vehicles. The algorithm of the bee colony taken as a basis. A special feature of the proposed algorithm is the modification due to the integration of artificial intelligence elements. It assumed that the use of the proposed approaches in practice would significantly increase the efficiency and ensure the autonomy of the tasks performed by a group of unmanned aerial vehicles. The main advantage of the developed intelligent algorithm is the capture of the maximum possible survey area with the available number of unmanned aerial vehicles in the group.
ASSESSMENT OF COMPONENTS OF THE INTERNAL CONTROL SYSTEM FOR THE PURPOSE OF RISK MANAGEMENT OF ORGANIZATIONS
Authors:   Financial University under the Government of the Russian Federation, Moscow, Russian Federation, TURGAEVA A.A.
Published: September 2024

An effective internal control system is closely related to the risk management of the organization, namely, it reduces the risks of failure to achieve the set goals and, according to the COSO concept, provides reasonable assurance of their achievement. The subject of the study is the assessment of the components of the internal control system for the purpose of risk management of organizations. The object of the study is the internal control system of the organization. The article raises the problem of developing a methodology for assessing the formation of all components of the ICS in accordance with the COSO model. The problem lies in the insufficient number of studies on the systematization of control procedures for each component of the ICS in the context of assessing the system, describing standard and non-standard situations that must be responded to promptly and how to assess such situations in the context of internal control and risk management through qualitative indicators that are not measurable. Model. To substantiate the methodology for assessing the formation of all components of the ICS in accordance with the COSO model, the criterion for assessing and measuring non-financial indicators of financial stability of organizations is presented. The study uses the grouping method, which allows studying the interrelations of phenomena, as well as their interdependencies, to identify the influence of certain factors and trends. The article uses the comparative method as the most common method of analysis, as well as the methods of induction and synthesis. Conclusions. The methodology for assessing the formation of ICS components in accordance with the COSO model in organizations is of theoretical significance in terms of developing scientific and theoretical provisions concerning the construction of internal control and improving the effectiveness of ICS, as well as practical significance in the context of applying the developed package of documents. Practical significance. As a result, the methodology for assessing the formation of all ICS components in accordance with the COSO model was substantiated, a number of documents were developed that systematized the indicators for assessing the ICS components, including non-financial indicators. It is proposed to form a map of typical situations: standard and non-standard, as well as situations with increased complexity, allowing you to create new algorithms for action to reduce risk. Originality. The author's contribution is to develop a methodology for assessing the formation of all ICS components in accordance with the COSO model.
PROBLEM OF THE APPLICATION OF POTESTATIVE TERMS IN CONTRACTS FOR THE PERFORMANCE OF EXPERIMENTAL DESIGN WORK IN THE FIELD OF STATE DEFENSE ORDER
Authors:   Peoples' Friendship University of Russia named after Patrice Lumumba, Moscow, Russian Federation, PROTOPOPOVA O.V. , BELITSINA E.V.
Published: September 2024

The purpose of the research. The article examines the actual problems of the application of potestative (suspensive) terms in contracts for the performance of experimental design work in the field of state defense orders, highlights the specific features of the legal regulation of the legal relations in question, provides their interpretation in the legal doctrine, as well as in the current legislation of the Russian Federation. The author conducted a review of Russian judicial practice, identified and recorded its positive and negative trends. Potestative terms in a contractual obligation are definitely permissible, should not be dependent or counter, are a priori feasible by virtue of the law, are associated with the volitional actions of the party to the transaction, simultaneously responding to the sign of uncertainty and the criterion of reality, while theoretically possible in reality, although their occurrence is unknown in advance. The research is conducted in order to identify and overcome legal gaps, develop recommendations for effective law enforcement of existing norms and improve individual legal acts, norms and institutions. Results. As a result of the conducted research, the author comes to the conclusion about the practical ineffectiveness of potestative terms in contracts for the performance of experimental design work in the field of state defense orders, aggravating the legal position of the head contractor, destabilizing his financial stability in the form of an array of simultaneous claims and claims for payment of completed and accepted works.
External Validation of Four Cardiovascular Risk Prediction Models
Authors: Bhuiyan Alauddin , Govindaiah Arun , Smith R Theodore
Published: September 2024

Background and Purpose: Cardiovascular disease (CVD) is a leading cause of death and disability in the world. Many CVD risk prediction models have been created, but those most widely used in clinical settings have not been externally validated, a significant gap addressed herein.

Methods: Using the Multi-Ethnic Study of Atherosclerosis (MESA), we have externally validated the Framingham Risk Score, ASSIGN (Assessing the cardiovascular disease risk using SIGN) risk score, Atherosclerotic Cardiovascular Disease (ASCVD) risk score, and the European SCORE model, which were selected based on popularity among clinicians and frequency of clinical use. The models were implemented in a computer program based on published algorithms, and 100 incident CVD and 100 non-incident CVD subjects from MESA were selected for testing the repeatability. The outcome in both models achieved 100% correlation. The individual model accuracy was tested by computing their sensitivity, specificity, accuracy, and C-statistics.

Results: For discrimination, ASCVD showed the highest C-statistic (0.717) and SCORE the lowest (0.677). The Framingham score provided the most consistent results among the models, with a sensitivity of 69% and a specificity of 62%, but overestimated the risks as shown by the calibration results. SCORE was relatively inconsistent, with a sensitivity of 34% and specificity of 85%, for a risk threshold set at the top 20%.

Conclusions: Calibration experiments showed that the transportability of the risk was generally poor in all models, with Framingham and SCORE particularly overestimating the risks for the American population There is clearly a need for better models to predict CVD risk in the multi-ethnic American population.
AKUNTANSI PERSEDIAAN BARANG DAGANG ( STUDI KASUS PADA CV MAJU JAYA SCAFFOLDING, CIKARANG )
Authors: Setiadi Setiadi
Published: September 2024

Abstract. Problems that can arise in the supply of too littleinventory of merchandise rather than consumer demand, as well asmore inventory than consumer demand. The research objective isto find out how the method of recording, the method of valuation,and the presentation of inventory in the financial statements of CVMaju Jaya Scaffolding. The analysis used is quantitativedescriptive. Data collection techniques in this study by observation.The results of the research, recording the inventory of merchandiseat CV Maju Jaya Scaffolding uses the perpetual method, whereeach purchase and sale transaction is not recorded in the accountof the purchase or sale, but directly recorded in the inventoryaccount. Assessment of merchandise inventory, to determine thevalue of CV Maju Jaya Scaffolding's final inventory using the FIFOmethod Abstrak. Masalah-masalah yang dapat timbul pada persediaanterlalu sedikitnya persediaan barang dagang daripada pemintaankonsumen, maupun lebihnya jumlah persediaan daripadapermintaan konsumen. Tujuan penelitian untuk mengetahuibagaimana metode pencatatan, metode penilaian, dan penyajianpersediaan pada laporan keuangan CV Maju Jaya Scaffolding.Analisis yang digunakan deskriptif kuantitatif. Teknikpengumpulan data pada penelitian ini dengan observasi. Hasilpenelitian, pencatatan persediaan barang dagang pada CV MajuJaya Scaffolding menggunakan metode perpetual, dimana setiaptransaksi pembelian dan penjualan tidak dicatat dalam akunpembelian maupun penjualan, tetapi langsung dicatat pada akunpersediaan barang dagang. Penilaian persediaan barang dagang,untuk mengetahui nilai persediaan akhir CV Maju Jaya Scaffoldingmenggunakan metode FIFO.Kata Kunci : Metode Catat, Observasi,Kuantitatif danPerpetual, FIFO.
Knowing Intentions: What Do You See—Actors or Actions?
Authors: Kim Seok Joon
Published: September 2024

Do ordinary citizens place more credibility on signals from democracies than non-democracies? When and under what conditions do they assess democratic signals as more or less credible than those from non-democracies? This paper argues that democracies can make their signals more credible than non-democracies and can be perceived as such but offers a new explanation for why democratic credibility can still go unobserved. This study examines democratic advantage in signaling by decomposing it into two components: the perceived signaling capability gap—the difference in how observers evaluate the signaling capabilities of democracies versus non-democracies, and the prior belief difference—the difference in prior beliefs about the inherent aggressiveness of both regime types. This model offers a robust theoretical framework for understanding how prior beliefs about a signaler’s aggressiveness can independently affect the credibility of state signals during crises. This model is tested through survey experiments in the United States and China.
Innovations in recycled construction materials: paving the way towards sustainable road infrastructure
Authors: Hoy Menglim , Horpibulsuk Suksun , Chinkulkijniwat Avirut , Suddeepong Apichat , Buritatum Apinun , Yaowarat Teerasak , Choenklang Punvalai , Udomchai Artit , Kantatham Karn
Published: September 2024

The expansive development of infrastructure has led to increased consumption of virgin aggregates in road construction, resulting in significant environmental impacts. To address this issue, there is a pressing need for sustainable alternatives that utilize recycled materials in pavement applications. This paper presents a comprehensive review of a decade-long research program focused on the development and evaluation of sustainable pavement materials, such as recycled and waste aggregates, industrial by-products, and natural fibers. The research encompassed a wide range of innovative materials and technologies, such as geopolymer-stabilized recycled aggregates, cement-stabilized waste materials, natural additive-modified cement stabilization, and recycled aggregate-geogrid reinforcement systems. The experimental framework employed a combination of mechanical testing, durability assessment, microstructural analysis, and environmental safety evaluation to assess the performance and sustainability of these materials. The key findings demonstrated the superior mechanical properties, improved durability, and environmental suitability of the recycled materials compared to conventional virgin aggregates. The successful implementation of these sustainable solutions in real-world projects highlights their potential to reduce the environmental footprint of road infrastructure development. Furthermore, the paper discussed the practical implications of the research outcomes for pavement design and construction, as well as future research directions to further advance the field of sustainable pavement engineering. The findings of this research report can be used as guidance for researchers, practitioners, and policymakers seeking to upcycle the widespread adoption of recycled materials in road application and contribute to the development of a more sustainable and resilient transportation infrastructure.
Home-based long-term physical endurance and inspiratory muscle training in children and adults with Fontan circulation
Authors: Walzer Lena , Sallmon Hannes , Kelm Marcus , Dirks Stefan , Meyer Michael , Kramer Peter , Wolfarth Bernd , Thouet Thomas , Ovroutski Stanislav , Berger Felix , Schleiger Anastasia
Published: September 2024

Background and study aim

Regular physical activity is highly recommended for patients with Fontan hemodynamics. Our aim was to investigate the effects of a long-term individualized home-based endurance training (IHET) on a bicycle ergometer in combination with inspiratory muscle training (IMT) in pediatric and adult patients after Fontan palliation. Additionally, factors influencing the trainability of Fontan palliated patients were analyzed.

Methods

From 2018 to 2021 a single-center prospective study was performed initially including 25 Fontan palliated patients. During study period nine patients were excluded due to incompliance. A Magbike® bicycle ergometer (DKN Technology, France) was used for IHET and a POWERbreathe® Medic plus device (HaB GmbH, Germany) was utilized for the IMT. Over the study period, bike training was increased from 90 min of basic endurance training per week to additional 25 min of interval training per week. IMT consisted of 30 breaths per day for 6–7 days per week with pressure adaption over time. Patients underwent cardiopulmonary exercise testing (CPET) and body plethysmography including measurement of respiratory muscle strength at baseline and at follow-up examinations at 4, 10 and 22 months.

Results

Follow-up examinations were completed by 18/25 patients (72.0%) at 4 and 10 months and 16/25 patients (64.0%) at 22 months. Median exercise capacity slightly increased by 0.13 W/kg from baseline to last follow-up (p = 0.055, 95%CI: 0.0–0.36). However, a significant increase of oxygen pulse of 0.7 ml/beat (p = 0.006, 95%CI: 0.38–2.22) was detectable. IMT significantly improved respiratory function with an increase of inspiratory vital capacity (VCin/reference) by 4.0% (p = 0.016, 95%CI: 0.8–8). Median maximal inspiratory pressure increased by 1.2 kPa (p = 0.003, 95%CI: 0.64–3.19) and expiratory pressure by 1.5 kPa (p = 0.036, 95%CI: 0.08–2.29). No adverse events or unplanned interventions occurred during the study. Patients' subjective quality of life did not significantly change over the study period.

Conclusion

In Fontan palliated patients, IHET in combination with IMT leads to a significant increase in oxygen pulse, inspiratory vital capacity as well as median maximal inspiratory and expiratory pressure but not to significant improvement of quality of life. Fontan patients should be encouraged to perform regular home-based exercise training.
Application of machine learning algorithms in predicting carotid artery plaques using routine health assessments
Authors: Wei Yuting , Tao Junlong , Geng Yifan , Ning Yi , Li Weixia , Bi Bo
Published: September 2024

Background

Cardiovascular diseases (CVD) constitute a grave global health challenge, engendering significant socio-economic repercussions. Carotid artery plaques (CAP) are critical determinants of CVD risk, and proactive screening can substantially mitigate the frequency of cardiovascular incidents. However, the unequal distribution of medical resources precludes many patients from accessing carotid ultrasound diagnostics. Machine learning (ML) offers an effective screening alternative, delivering accurate predictions without the need for advanced diagnostic equipment. This study aimed to construct ML models that utilize routine health assessments and blood biomarkers to forecast the onset of CAP.

Methods

In this study, seven ML models, including LightGBM, LR, multi-layer perceptron (MLP), NBM, RF, SVM, and XGBoost, were used to construct the prediction model, and their performance in predicting the risk of CAP was compared. Data on health checkups and biochemical indicators were collected from 19,751 participants at the Beijing MJ Health Screening Center for model training and validation. Of these, 6,381 were diagnosed with CAP using carotid ultrasonography. In this study, 21 indicators were selected. The performance of the models was evaluated using the accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), F1 score, and area under the curve (AUC) value.

Results

Among the seven ML models, the light gradient boosting machine (LightGBM) had the highest AUC value (85.4%). Moreover, age, systolic blood pressure (SBP), gender, low-density lipoprotein cholesterol (LDL-C), and total cholesterol (CHOL) were the top five predictors of carotid plaque formation.

Conclusions

This study demonstrated the feasibility of predicting carotid plaque risk using ML algorithms. ML offers effective tools for improving public health monitoring and risk assessment, with the potential to improve primary care and community health by identifying high-risk individuals and enabling proactive healthcare measures and resource optimization.
Case Report: Pazopanib-induced acute coronary syndrome
Authors: Yadalam Adithya K. , Schultz William M. , Han Chanhee , Mandawat Anant
Published: September 2024

Introduction

Pazopanib is a tyrosine kinase inhibitor approved for the treatment of metastatic renal cell carcinoma and advanced soft-tissue sarcoma that functions by inhibiting vascular endothelial growth factor receptors. Although the package insert and current cardio-oncology guidelines indicate a risk of acute coronary syndrome (ACS) associated with pazopanib, the causative role of pazopanib in arterial thrombosis is unclear due to a lack of focused coronary disease evaluation in oncological clinical trials prior to pazopanib initiation. Herein we present an antecedent ischemic evaluation of a patient who was prescribed pazopanib to demonstrate the first reported case of ACS directly attributable to pazopanib.

Case description

A 65-year-old woman with metastatic leiomyosarcoma presented to the hospital with ACS. Pazopanib had been initiated 8 months prior, and an ischemic evaluation 6 weeks prior to hospitalization indicated mild coronary artery disease (CAD). Emergent cardiac catheterization revealed a large thrombotic occlusion of the mid-left anterior descending coronary artery involving the secondary diagonal artery, which was treated with manual aspiration thrombectomy. Pazopanib was discontinued, and the patient was discharged from the hospital 12 days later.

Discussion

Although pazopanib is associated with ACS, there is a lack of definitive data supporting this association. This case-based demonstration of pazopanib-induced ACS provides a discrete clinical example of this phenomenon. The patient's minimal atherosclerotic burden 6 weeks prior to her presentation for ACS strongly suggests causality attributable to pazopanib. Given the increased risk for ischemic heart disease, careful attention and an individualized risk assessment for CAD should be provided to patients who are prescribed pazopanib.
Lessons learned from a multimodal sensor-based eHealth approach for treating pediatric obsessive-compulsive disorder
Authors: Klein Carolin S. , Hollmann Karsten , Kühnhausen Jan , Alt Annika K. , Pascher Anja , Seizer Lennart , Primbs Jonas , Ilg Winfried , Thierfelder Annika , Severitt Björn , Passon Helene , Wörz Ursula , Lautenbacher Heinrich , Bethge Wolfgang A. , Löchner Johanna , Holderried Martin , Swoboda Walter , Kasneci Enkelejda , Giese Martin A. , Ernst Christian , Barth Gottfried M. , Conzelmann Annette , Menth Michael , Gawrilow Caterina , Renner Tobias J.
Published: September 2024

Introduction

The present study investigates the feasibility and usability of a sensor-based eHealth treatment in psychotherapy for pediatric obsessive-compulsive disorder (OCD), and explores the promises and pitfalls of this novel approach. With eHealth interventions, therapy can be delivered in a patient's home environment, leading to a more ecologically valid symptom assessment and access to experts even in rural areas. Furthermore, sensors can help indicate a patient's emotional and physical state during treatment. Finally, using sensors during exposure with response prevention (E/RP) can help individualize therapy and prevent avoidance behavior.

Methods

In this study, we developed and subsequently evaluated a multimodal sensor-based eHealth intervention during 14 video sessions of cognitive-behavioral therapy (CBT) in 20 patients with OCD aged 12-18. During E/RP, we recorded eye movements and gaze direction via eye trackers, and an ECG chest strap captured heart rate (HR) to identify stress responses. Additionally, motion sensors detected approach and avoidance behavior.

Results

The results indicate a promising application of sensor-supported therapy for pediatric OCD, such that the technology was well-accepted by the participants, and the therapeutic relationship was successfully established in the context of internet-based treatment. Patients, their parents, and the therapists all showed high levels of satisfaction with this form of therapy and rated the wearable approach in the home environment as helpful, with fewer OCD symptoms perceived at the end of the treatment.

Discussion

The goal of this study was to gain a better understanding of the psychological and physiological processes that occur in pediatric patients during exposure-based online treatment. In addition, 10 key considerations in preparing and conducting sensor-supported CBT for children and adolescents with OCD are explored at the end of the article. This approach has the potential to overcome limitations in eHealth interventions by allowing the real-time transmission of objective data to therapists, once challenges regarding technical support and hardware and software usability are addressed.

Clinical Trial Registration

www.ClinicalTrials.gov, identifier (NCT05291611).
Segmentation characteristics of strike-slip fault zone and its reservoir control mechanisms in the southwestern Tarim Basin
Authors: Guo Jialiang , Yang Ruizhao , Geng Feng , Wang Li , Zhang Shijie , Wang Lingda , Han Fengtao
Published: September 2024

Understanding how fault-related structures influence oil and gas accumulation is crucial for geological investigations and exploration planning. This study, based on 3D seismic data, analyzes the northeast-trending strike-slip fault zone in the eastern part of the Bachu Uplift. Automatic fault extraction techniques were employed to delineate the strike-slip fault zone, and the parallel bedding indicator was used to identify reservoirs and investigate the fault’s segmented features and reservoir-controlling characteristics. The results show that the northeast-trending strike-slip fault is primarily governed by simple shear stress and conforms to the Riedel shear model. Three distinct structural styles were developed: vertical, pull-apart, and push-up segments, each exhibiting varying profile characteristics and planar patterns. The segmentation of the strike-slip fault controls the distribution of Ordovician fault-karst reservoirs. An oil and gas enrichment model for the strike-slip fault zone has been established, characterized by external hydrocarbon supply, fault-mediated migration, segmented reservoir control, and high-elevation accumulation. This study offers valuable insights for the exploration of fault-karst reservoirs controlled by strike-slip faults.