bluuebunny/crossref_metadata_2025_split huggingface dataset:
Case Report: Trauma group therapy with karate-do for war-traumatized children and adolescents
Authors: Montenegro Mirjam Straub Ortiz , Montenegro Patricio Ortiz , Voegeli Fabian 
Published: October 2024

BackgroundFrom the viewpoint of health and education, traumatized children and adolescents who have fled from war and conflict zones to Switzerland represent a high-risk group, as they suffer from psychiatric symptoms to an above-average extent and on several levels: somatic, psychological, psychosomatic, and psychosocial.ObjectivesThe complexity and severity of these problems overwhelm the existing school structures in many cases: There is a clear need for psychotherapeutic interventions here that goes beyond purely verbal conversational therapy and provides an holistic concept.MethodsWe propose the following novel approach: “Trauma group therapy with karate-do for war-traumatized children and adolescents” which integrates and applies the evidence-based methods of integrative Budo-Therapy, trauma-focused Cognitive Behavioral Therapy (TF-CBT), Narrative Exposure Therapy (NET) and Integrative Gestalt Therapy according to Dr. Hilarion Petzold (EAG-FPI) and validated it in a group of approximately 12 children from war and conflict zones who attend the public schools of the city of Zürich.ResultsQualitative feedback received from the teachers is promising. They report that it is now better possible for the children who go to ouer “Trauma group therapy with karate-do for war-traumatized children and adolescents” to concentrate at school and also to better regulate their feelings.ConclusionOuer approach seems to be a promising intervention for traumatized children and adolecents. Though it needs further evaluation.
Factors influencing human papillomavirus vaccine uptake among parents and teachers of schoolgirls in Saudi Arabia: a cross-sectional study
Authors: Fallatah Deema I. , Khalil Mohammad Adnan , Abd ElHafeez Samar , Gouda Salma , Alshanbari Huda M. , Awadalla Maaweya , Ahram Mamoun , Alosaimi Bandar 
Published: October 2024

IntroductionCervical cancer is a highly prevalent disease among women worldwide. However, the advent of a vaccine against HPV, the main cause of the disease, has prevented its spread. The acceptability of the HPV vaccine to different sectors of the Saudi community has yet to be clarified. Since parents and teachers are major influencers in the decision-making process of vaccination for HPV, this study aimed to assess the knowledge and attitudes of teachers and parents toward cervical cancer, HPV, and the HPV vaccine, and unraveled the factors that would influence recommending the vaccine.MethodsA cross sectional study was done among 927 individuals (373 teachers and 356 parents). A newly developed validated questionnaire was used to collect data on knowledge, attitude, and factors influencing cervical cancer, HPV, HPV vaccine. The relationship between different factors with knowledge and attitude were assessed using univariate and multivariate analysis.ResultsOf the study participants, 94% were females, with a median (Interquartile range) age of 38(31–44) years, 12.2% were teachers, 38.7% were parents and 49.1% were parents and teachers. The majority (78.5%) were married, and 75.6% had at least one child. Among those with children, 88.6% had at least one girl, and among those with girls, 72.2% had at least one girl aged between 10 and 18 years. The total median (IQR) knowledge score was 9 [(−5)–(−26)] and the total median (IQR) attitude score was 49 (43–56). The knowledge score significantly increased by receiving postgraduate education, working in the health or education sectors, if a person knew someone diagnosed with cervical cancer, having girls in the age group of 10–18 years, reading about medical issues or having previously heard about the HPV vaccine. The attitude score significantly increased by high knowledge score and decreased if the person has previously diagnosed with cervical cancer.ConclusionPhysician’s recommendation and the amount of information on the HPV vaccine, opinions about vaccines in general, and government decrees are the main factors influencing decision on HPV vaccine Uptake. This study emphasizes the role of healthcare providers, awareness of cervical cancer, HPV and its vaccine, and social status, in favoring vaccine uptake in Saudi Arabia.
Mechanism of cognitive processing for acupuncture action on generalized anxiety with naturally occurring consecutive partial sleep deprivation in early adulthood: a randomized controlled study and evaluation of event-related potentials
Authors: Shi Ce , Wu Lihua , Fu Wen , Gao Jing , Jiang Haishui , Wang Mengyu , Chen Xinwang 
Published: October 2024

IntroductionGeneralized anxiety disorder (GAD) is a common mental disorder that often begins in adolescence or early adulthood and is characterized by widespread and persistent anxiety. Partial sleep deprivation (PSD) is an important risk factor for GAD development and a common comorbidity. Adolescence is a period of rapid brain and nervous system development, and during this time, the occurrence of GAD can lead to neurocognitive deficits, such as impaired attention, cognitive control, and attention bias, that significantly affect cognitive function. However, relatively little research has been conducted on GAD comorbid with PSD in early adulthood compared with other psychiatric disorders. Clinical studies have demonstrated the effectiveness of acupuncture in treating GAD and sleep disorders, but the mechanism of how acupuncture modulates neurocognitive processing in patients with GAD comorbid with PSD has not been clarified.Methods/designIn this randomized clinical trial, a total of 56 participants diagnosed with GAD comorbid with naturally occurring PSD and 28 healthy controls (HCs) will be recruited. The participants diagnosed with GAD comorbid with PSD will be randomly assigned to either the acupuncture group or the sham acupuncture group at a 1:1 ratio. The primary outcome measure is the Hamilton Anxiety Rating Scale (HAMA). Secondary outcome measures are the Sleep Deprivation Index (SDI), the Self-Assessment Scale for Anxiety (SAS), the Epworth Sleepiness Scale (ESS), and the State-Trait Anxiety Inventory (STAI). Additionally, three psychological paradigms (the attentional network test, psychomotor vigilance test, and emotional face Go/No-go) and event-related potential (ERP) data. Healthy volunteers will not undergo acupuncture but will instead participate in baseline assessments for the scales, mental paradigms, and ERP data. Acupuncture and sham acupuncture interventions will be conducted for 30 min, three times a week, over a 2-week period. Evaluations will be performed at zero weeks (baseline), 1 week, and 2 weeks, with the data enumerator, outcome assessor, and participant blinded to the treatment assignment.DiscussionThis study contributes to the exploration of the effects of acupuncture on improving anxiety symptoms and cognitive functions in individuals with comorbid GAD and PSD.Trial registrationClinicalTrials.gov, ChiCTR2400082221. Registered March 25, 2024.
Multilevel Factors Influencing the Requirement for Geriatric Nursing by Older Adults Living With HIV: A Cross-Sectional Study
Authors: Li Mei , Luo Yue , Ren Jian Lan , Zheng Yu , Watson Roger , Chen Yan Hua 
Published: October 2024

ObjectivesPeople living with HIV are aging. This study aimed to assess the factors influencing the requirements for geriatric nursing of older adults living with HIV (OALHIV).MethodsConvenience sampling was used to conduct a survey on the 295 OALHIV aged over 50 in Luzhou, China.ResultsOALHIV had few needs for living care needs. Most people indicate a requirement for reducing medical costs. Regarding psychological comfort needs, disease privacy and confidentiality were the greatest requirement. Multivariable regression analyses found that social support had a positive influence on the requirements for geriatric nursing.ConclusionIt is necessary to provide more social support for OALHIV. Most importantly, China should incorporate OALHIV into national pension security plan, integrate various resources and improve social security for them.
Diversity and Evolution of NLR Genes in Citrus Species
Authors: Xiong Zhiwei , Zhang Wanshan , Yin Hui , Wan Jiaxing , Wu Zhuozhuo , Gao Yuxia 
Published: October 2024

NLR genes are crucial components of the effector-triggered immunity (ETI) system, responsible for recognizing pathogens and initiating immune responses. Although NLR genes in many plant species have been extensively studied, the diversity of NLR genes in citrus remains largely unknown. Our analysis revealed significant variations in the copy numbers of NLR genes among these species. Gene duplication and recombination were identified as the major driving forces behind this diversity. Additionally, horizontal gene transfer (HGT) emerged as the principal mechanism responsible for the increase in NLR gene copy number in A. buxifolia. The citrus NLR genes were classified into four categories: TIR-NBS-LRR (TNL), CC-NBS-LRR (CNL), RPW8-NBS-LRR (RNL), and NL. Our findings indicate that TNL, RNL, and CNL genes originated from NL genes through the acquisition of TIR and RPW8 domains, along with CC motifs, followed by the random loss of corresponding domains. Phylogenetic analysis suggested that citrus NLR genes originated alongside the species and underwent adaptive evolution, potentially playing crucial roles in the global colonization of citrus. This study provides important insights into the diversity of citrus NLR genes and serves as a foundational dataset for future research aimed at breeding disease-resistant citrus varieties.
Fault Diagnosis Method for Hydropower Units Based on Dynamic Mode Decomposition and the Hiking Optimization Algorithm–Extreme Learning Machine
Authors: Lin Dan , Wang Yan , Xin Hua , Li Xiaoyan , Xu Shaofei , Zhou Wei , Li Hui 
Published: October 2024

The diagnosis of vibration faults in hydropower units is essential for ensuring the safe and stable operation of these systems. This paper proposes a fault diagnosis method for hydropower units that combines Dynamic Mode Decomposition (DMD) with an optimized Extreme Learning Machine (ELM) utilizing the Hiking Optimization Algorithm (HOA). To address the issue of noise interference in the vibration signals of hydropower units, this study employs DMD technology alongside a thresholding technique for noise reduction, demonstrating its effectiveness through comparative trials. Furthermore, to facilitate a thorough analysis of the operational status of hydropower units, this paper extracts multidimensional features from denoised signals. To improve the efficiency of model training, Principal Component Analysis (PCA) is applied to streamline the data. Given that the weights and biases of the ELM are generated randomly, which may impact the model’s stability and generalization capabilities, the HOA is introduced for optimization. The HOA-ELM model achieved a classification accuracy of 95.83%. A comparative analysis with alternative models substantiates the superior performance of the HOA-ELM model in the fault diagnosis of hydropower units.
Early Detection of Dendroctonus valens Infestation with UAV-Based Thermal and Hyperspectral Images
Authors: Bi Peiyun , Yu Linfeng , Zhou Quan , Kuang Jinjia , Tang Rui , Ren Lili , Luo Youqing 
Published: October 2024

Dendroctonus valens is one of the main invasive pests in China, causing serious economic and ecological damage. Early detection and control of D. valens can help prevent further outbreaks. Based on unmanned aerial vehicle (UAV) thermal infrared and hyperspectral data, we compared the spectral characteristics of Pinus sylvestris var. mongolica in three states (healthy, early-infested, and dead), and constructed a classification model based on the random forest algorithm using four spectral datasets (reflectance, first derivative, second derivative, and spectral vegetation index) and one temperature parameter dataset. Our results indicated that the spectral differences between healthy and early-infested trees mainly occur in the near-infrared region, with dead trees showing different characteristics. While it was effective to distinguish healthy from early-infested trees using spectral data alone, the addition of a temperature parameter further improved classification accuracy across all datasets. The combination of the spectral vegetation index and temperature parameter achieved the highest accuracy at 93.75%, which is 3.13% higher than using the spectral vegetation index alone. This combination also significantly improved early detection precision by 13.89%. Our findings demonstrated the applicability of UAV-based thermal infrared and combined hyperspectral datasets in monitoring D. valens early-infested trees, providing important technical support for the scientific prevention and control of D. valens.
Прогнозирование доходов бюджета от внутреннего производства с использованием гибридных моделей машинного обучения
Authors: Стерник С.Г. 
Published: October 2024

Доходы бюджета играют важную роль в экономической политике государства, выполнении им ключевых функций, решении социальных задач и финансовой безопасности. Настоящая статья посвящена прогнозированию доходов бюджета от внутреннего производства с использованием экономико-математических моделей и методов машинного обучения. На основе статистических данных за период с 2008 по 2023 год выявлены ключевые свойства временного ряда, которые позволили в дальнейшем сформировать дополнительные переменные-признаки, используемые для его прогнозирования. Предложен подход к прогнозированию доходов бюджета с использованием гибридных моделей, базирующихся на комбинации классических моделей ARIMA и PROPHET с бустинговыми алгоритмами машинного обучения и позволяющий существенно повысить качество и точность прогноза. Сформирован прогноз доходов бюджета от внутреннего производства на 2024 г. Приведены практические рекомендации по применению методов машинного обучения для прогнозирования доходов государственного бюджета.
Budget revenues play an important role in the economic policy of the state, the performance of its key functions, solving social problems and financial security. This article is devoted to forecasting budget revenues from domestic production using economic and mathematical models and machine learning methods. Based on statistical data for the period from 2008 to 2023, key properties of the time series were identified, which made it possible to further form additional variable attributes used for its forecasting. An approach to forecasting budget revenues using hybrid models based on a combination of classical ARIMA and PROPHET models with boosting machine learning algorithms is proposed, which allows for a significant improvement in the quality and accuracy of the forecast. A forecast of budget revenues from domestic production for 2024 has been generated. Practical recommendations for the use of machine learning methods for forecasting state budget revenues are provided.
Проектное финансирование в современной России: опыт и перспективы
Authors: Бараховский А.С. , Михина Е.В. , Лисина М.И. 
Published: October 2024

Авторами рассмотрен ряд направлений, определяющих функционирование проектного финансирования в Российской Федерации: нормативно-правовое обеспечение и актуальность проектного финансирования как инструмента экономического развития, его взаимосвязь с национальными целями развития страны; на примере института развития Банк делового развития Канады рассмотрены подходы, реализуемые в зарубежной практике проектного финансирования; рассмотрен механизм предоставления и возврата средств в рамках Программы «Фабрика проектного финансирования»; дана характеристика принципиальных отличий Программы «Фабрика проектного финансирования» от его общепринятой практики; установлены преимущества программы и возможные резервы ее дальнейшего расширения.
The author examined a number of areas that determine the functioning of project financing in the Russian Federation: legal support and relevance of project financing as an instrument of economic development, its relationship with the national development goals of the country; using the example of the development institute Business Development Bank of Canada, the approaches implemented in foreign practice of project financing are considered; the mechanism for the provision and return of funds was considered within the framework of the Project Finance Factory Program; a description of the fundamental differences between the Project Finance Factory Program and its generally accepted practice is given; the advantages of the program and possible reserves for its further expansion have been established
Моделирование управленческих ситуаций в подготовке специалистов государственного управления
Authors: Шедько Ю.Н. 
Published: October 2024

В работе поставлена цель установить возможности инструмента «моделирование управленческих ситуаций в подготовке специалистов государственного управления». Актуальность работы заключается в недостаточной исследованности метода в условиях цифровой трансформации государственного управления, усиления неопределенности, увеличения размеров обрабатываемой информации. На основе анализа передового зарубежного (Соединенное Королевство Великобритании и Северной Ирландии (далее — Великобритания)) и отечественного опыта разработаны рекомендации по использованию моделирования управленческих ситуаций на основе групп данных.
The goal of the work is to establish the capabilities of the tool “modeling of management situations in the training of public administration specialists”. The relevance of the work lies in the insufficient research of the method in the conditions of digital transformation of public administration, increased uncertainty, and an increase in the size of processed information. Based on an analysis of advanced foreign (United Kingdom of Great Britain and Northern Ireland (hereinafter referred to as the UK)) and domestic experience, recommendations have been developed for the use of modeling management situations based on data groups.
Качество управления государственными программами: официальные оценки и фактические результаты
Authors: Братченко С.А. 
Published: October 2024

Предметом исследования выступает коллизия между формальной оценкой эффективности и фактическими результатами реализации государственных программ (далее — ГП). Наличие коллизии было подтверждено на примере пула государственных программ социальной направленности, а также ГП «Развитие промышленности и повышение ее конкурентоспособности» (в части сельскохозяйственного машиностроения и автомобилестроения). Высокие формальные оценки эффективности реализации государственных программ препятствуют устранению коллизии, реальному решению стоящих перед страной социально-экономических проблем и задач. Показано, что коллизия имеет место благодаря действующему алгоритму оценки эффективности реализации ГП, сформулированному в постановлении Правительства от 15 мая 2023 года № 752, поскольку достижение целевых значений показателей не обеспечивает достижение стратегических целей ГП, решение соответствующих социально-экономических задач или проблем. Если мы намерены, чтобы государственные программы стали средством решения социально-экономических задач и проблем, действующий алгоритм должен быть пересмотрен.
The subject of the study is a collision between the formal assessment of effectiveness and the actual results of the implementation of government programs (hereinafter — GP). The fact of the collision was confirmed by the example of a pool of government programs of a social orientation, as well as the GP "Development of industry and increasing its competitiveness" (on the example of agricultural engineering and automotive industry). High formal assessments of the effectiveness of the implementation of government programs prevent the elimination of collisions, the real solution of the socio-economic problems and tasks facing the country. It is shown that the collision occurs due to the current algorithm for evaluating the effectiveness of the implementation of GP, formulated in Government Decree No. 752 of May 15, 2023, since achieving the target values of indicators does not ensure the achievement of the strategic goals of GP, solution of relevant socio-economic tasks or problems. If we intend government programs to become a means of solving socio-economic problems and problems, the current algorithm must be revised.
Применение моделей MIDAS для прогнозирования доходов и расходов региональных бюджетов
Authors: Борисова О.В. , Комиссарова А.В. 
Published: October 2024

Существенная перестройка экономики после пандемии, активно вводящиеся санкции, сложная геополитическая ситуация в стране приводят к необходимости оперативного принятия решений с учетом постоянно обновляющихся тенденций в каждом регионе РФ. Цель исследования — построение моделей MIDAS, прогнозирующих доходы и расходы бюджета субъекта РФ. Для проведения исследования были использованы общенаучные методы, позволяющие от прогнозных моделей федерального уровня перейти на уровень региона, для сравнения и сопоставления моделей и основных влияющих на их размер факторов. В статье проанализированы работы российских и иностранных авторов, позволившие разработать модели прогнозирования доходов и расходов бюджета субъектов РФ, с учетом их специфики. Выявлены модели, которые наиболее точно позволяют спрогнозировать доходы и расходы региональных бюджетов.
The significant restructuring of the economy after the pandemic, the actively imposed sanctions, and the difficult geopolitical situation in the country lead to the need for prompt decision-making, taking into account constantly updated trends in each region of the Russian Federation. The purpose of the study is to build MIDAS models that predict revenues and expenditures of the budget of a constituent entity of the Russian Federation. The following methods were used to conduct the study: general scientific methods, which allow moving from predictive models at the federal level to the regional level, for comparing and comparing models and the main influencing factors. As a result, the work of Russian and foreign authors has been analyzed, which made it possible to develop models for forecasting revenues and expenditures of the budget of the subjects of the Russian Federation, taking into account their specifics. The models that most accurately predict the revenues and expenditures of regional budgets have been identified.
Малое и среднее предпринимательство в России: тенденции к развитию и подходы к повышению эффективности использования ресурсов при реализации национальных проектов
Authors: Мурко О.А. 
Published: October 2024

В статье представлен анализ сектора малого и среднего предпринимательства (МСП) и его вклад в макроэкономические показатели. Исследование включает в себя идею раскрыть основные тенденции и возможности для развития сектора МСП и его роль в структурных изменениях экономики. Отдельная часть исследования посвящена анализу мер поддержки, по итогам которого предлагается новая модель государственной поддержки сектора МСП, направленная на повышение эффективности использования государственных ресурсов и увеличения вклада МСП в экономику.
The article presents an analysis of the small and medium-sized enterprises (SMEs) sector and its contribution to macroeconomic indicators. The research includes the idea to reveal the main trends and opportunities for the development of the SME sector and its role in the structural changes of the economy. A separate part of the study is devoted to the analysis of support measures, as a result of which a new model of state support for the SME sector is proposed, aimed at improving the efficiency of using public resources and increasing the contribution of SMEs to the economy.