bluuebunny/crossref_metadata_2025_split huggingface dataset:
Капітальні інвестиції в економіці України: значення та вплив в умовах змін
Authors: Мазур Н. А. , Кушнір О. К. 
Published: September 2022

Україна постає перед об’єктивною необхідністю активізації створення конкурентоздатних господарських систем, модернізації та реконструкції діючих господарських структур, забезпечення диверсифікації капіталу підприємств у напрямі інноваційно орієнтованих структурних перетворень. Ефективним джерелом матеріального забезпечення та стимулом таких перетворень можуть стати капітальні інвестиції, під якими зазвичай розуміють придбання фізичних активів компанією для використання в досягненні її довгострокових бізнес-цілей і завдань. Метою статті є поглиблення дослідження впливу обсягів, структури та джерел капітальних інвестицій України на основні показники її розвитку в умовах змін, а також окреслення основних передумов подальшої динаміки досліджуваних показників. Повномасштабна війна стала новим фактором впливу на рівень ділової активності та інвестиційного середовища в Україні. Так, інтегральний показник Індексу інвестиційної привабливості України у першій половині 2022 року впав на пів пункту та склав 2,17 балів з 5-ти можливих, що є найнижчим значенням з 2013 року.
Типологія компаній сучасної лізингової індустрії
Authors: Квасній Л. Г. , Кишакевич Б. Ю. , Сисин Г. І. 
Published: September 2022

У роботі проаналізовано основні типи сучасних лізингових компаній. Обґрунтовано, що лізинг виступає унікальним фінансовим інструментом, який поєднує в собі характеристики оренди та кредиту, але має свої переваги, властиві тільки цьому виду інвестиційної діяльності. Акцентовано увагу на тому, що оскільки українська економіка характеризується високим ступенем амортизації основних засобів, а в окремих регіонах і їх повним руйнуванням внаслідок військової російської агресії в Україні, то використання лізингу є особливо доцільним. Охарактеризовано основні види лізингових компаній, а саме: незалежні лізингодавці, банки та небанківські фінансові установи, лізингові компанії, афілійовані з материнськими компаніями/виробниками. Доведено, що загальний процес лізингової індустрії є складним, і галузь може отримати нові переваги від удосконаленого цифрового управління. Доведено, що безперервне ітераційне цифрове управління ефективно сприятиме зростанню ефективності лізингових операцій. З точки зору нарощування цифрових можливостей, в майбутньому, щоб ефективно підтримувати розвиток інноваційного бізнесу, лізинговим компаніям доцільно активно розгортати цифрові технології, створювати спеціальну команду цифрових конструкторів і будувати таку систему, яка б відповідала власному бізнесу компанії та була спрямована на стимулювання внутрішніх організаційних інновацій і зростання лізингового бізнесу. За результатами дослідження запропоновано переорієнтувати лізинговим компаніям свої послуги у площину розвитку цифрового бізнесу, що сприятиме активізації розвитку лізингової індустрії в національній економіці.
Analysis Voluntary Carbon Pricing Programs for their Further Adoption by Ukrainian Enterprises
Authors: Zhytkevych Olena , Azarova Anzhelika , Nіkіfоrоvа Liliia 
Published: September 2022

The wide spreading of the voluntary carbon pricing practice will lead to the efficiency of governmental policies towards low-carbon an economy, since they will be able to adopt clearly anticipated price policies in Ukraine and other countries. But adopting the internal carbon pricing programs by domestic enterprises is challenging due to expose to political, energy, financial and other crises in Ukraine and should be carefully studies in prior. Thus we offer considering best experiences of European companies that have already effectively and efficiently incorporated carbon pricing schemes into their management processes and strategic decisions. For this purpose, the theoretical issues of implementing voluntary carbon pricing programs by domestic enterprises have been investigated. Theoretical and practical base of the article consists of general economic and environmental economic principles, works of international and national scientists in the field of carbon pricing. This study provides analysis of the effective tools of mitigating risk associated with climate change policy and regulations, which can be applied by domestic firms in Ukraine. Using internal carbon pricing programs as a risk management tools, we described potential benefits, costs and limitations of the program. We also introduced the business study case how to apply the internal carbon pricing tool, in particular, shadow price by a company. This example proposes a methodological approach to implementing a shadow price tool. Thus, can be applied by domestic company in order to identify the feasibility of low-carbon emission investment and make right investment decision towards decarbonisation. Further analysis reveals that internal carbon pricing programs can be implemented by domestic firms as an efficient strategy and enable a greenhouse gas emissions reduction in compliance with the future or current national target. Our study provides practical recomendations through which Ukrainian companies can address climate risk and provide guidance to governments and regulators for the forming and further implementation of national environmental policies.
Туристичний потенціал хустського району закарпатської області: перспективи післявоєнного розвитку
Authors: Грабар М. В. , Пригара О. В. , Кашка М. Ю. 
Published: September 2022

У статті досліджено туристичний потенціал Хустського району. Хустщина належить до районів із потужним туристично-рекреаційним потенціалом. Висвітлено природний та історико-культурний потенціал Хустщини, що є додатковим позитивним чинником розвитку туризму в районі. Охарактеризовано найатрактивніші туристичні обєкти Хустського району. Здійснено аналіз матеріально-технічної бази. Заклади надають різний рівень сервісу. Також активно розвивається сектор сільського зеленого туризму. Обґрунтовано, що максимальна реалізація туристського потенціалу на регіональному рівні вимагає активізації найважливішого на сьогодні інвестиційного аспекту здійснення туристської діяльності. Наведено пропозицію післявоєнного розвитку туризму регіону на основі реалізації інвестиційного проєкту щодо облаштування зони відпочинку на березі так званого «Закарпатського моря» – Вільшанського водосховища Теребле-Ріцької ГЕС. Окреслено економічну привабливість та доцільність проєкту.
Вдосконалення туристичної логістики в контексті покращення якості туристичних послуг
Authors: Журба І. Є. , Несторишен І. В. 
Published: September 2022

В статті актуалізовано питання необхідності покращення якості туристичних послуг та вдосконалення туристичної логістики в Україні. Авторами наголошено, що вітчизняна туристична галузь має значний потенціал до зростання за умови формування сприятливих умов та здійснення певних трансформацій на державному та місцевому рівнях. Метою статті є систематизація підходів та визначення напрямів покращення якості туристичних послуг й вдосконалення туристичної логістики в Україні у післявоєнний період на засадах інтегрованого підходу. Як підсумок, логістику стосовно сфери туризму можна сприймати як концепцію інтегрованої логістики, яка спрямована на об’єднання зусиль туристичного підприємства та його партнерів у сфері логістики для спільного управління туристичними і пасажирськими потоками, а також сервісними ланцюгами щодо надання туристичних послуг.
JPOSNA Fracture Quiz
Authors: Muchow Ryan , Megan Young  , Stephanie Holmes  , Benton Heyworth  , Mark Sinclair  , Caroline Tougas  , Kenneth David Illingworth  
Published: September 2022

This trauma quiz represents an interactive session where POSNA members are able to work through 9 clinical scenarios to challenge how they would address these problems. Associated with each scenario is an OITE-style question and multiple choice options that seek the most preferred answer from the clinician. In addition to the answer and follow-up radiographs, we have enlisted the opinions of some POSNA experts in trauma to provide an evidenced-based approach to thinking through each trauma problem.
Beden Eğitimi ve Spor Dersi Disiplinler arası Öğretim Yaklaşımı Uygulamasının Erişi, Tutum ve Kalıcılığa Etkisi, “6.Sınıf Fen Bilgisi ‘Kuvvet ve Hareket’ Ünitesi Örneği
Authors: YURTBAŞI Öznur , ERKUT Ayşe Oya 
Published: September 2022

Bireylerin hayata hazırlanması için gündelik yaşantılarındaki yaşamsal gereklilikler ile okullarda almış oldukları eğitim arasında bağ kurulmasına yönelik eğitim programların artması ile beraber disiplinler arası araştırmaların sayısın arttığı görülmektedir.
Beden Eğitimi doğası gereği multidisipliner bir derstir ve bu nedenle disiplinler arası çalışmalara uygundur. Disiplinler arası yaklaşım yoluyla işlenen Beden Eğitimi ve Spor dersinin 6.sınıf Fen bilgisi ‘Kuvvet ve Hareket’ ünitesine ait kazanımlarının, öğrencilerin 6. sınıf fen başarı testi, fen başarı testi kalıcılığı, fen bilgisi ve beden eğitimi ve spor derslerine yönelik tutumlarının incelendiği bu araştırmada, deneysel araştırma yöntemi kullanılmıştır.
Araştırmaya Capıtol Ortaokulu’nda eğitim gören 60 öğrenci 6. Sınıf öğrencisi gönüllü olarak katılmıştır. Öğrenciler yansız atama yolu ile deney ve kontrol grubuna atanmışlardır. Öğrencilerin velilerinden “veli onam formu” alınmıştır.
Araştırmanın başlangıcında öğrencilere “Fen bilgisi başarı testi”, “Beden Eğitimi ve Spor tutum ölçeği” ve “Fen bilgisi tutum ölçeği” uygulanmıştır. Deney grubu disiplinler arası yaklaşım ile hazırlanmış Beden Eğitimi dersi programı kontrol grubu ise normal ders müfredatlarına devam etmişlerdir. 6 haftalık çalışmaları sonrasında öğrencilere son testler, 4 hafta sonra ise kalıcılık testleri uygulanmıştır.
Gruplarının çalışmalar sonrasında puan artışları, son test puanlarından ön test puanları çıkarılarak elde edilmiştir. Puan artışlarının farklı olup olmadığını test etmek amacı ile grup içi karşılaştırmalarda bağımlı gruplarda t testi, gruplar arasındaki karşılaştırmalarında ise parametrik olan hipotez testlerinden bağımsız gruplarda t testi kullanılmıştır.
Deney grubunun kontrol grubuna nazaran, beden eğitimi ve spor dersine ait tutum puanlarında, fen bilgisi başarı testi puanları ve fen bilgisi başarı testi kalıcılık puanlarında artış olduğu, ancak fen bilgisi dersi tutum puanlarında kontrol grubuna nazaran artış olmadığı sonucuna varılmıştır.
Theoretical and experimental study of the effect of concentration ratio on CTPTC performance
Authors: Ahmed Ahmed H. , Daoud Raid , H. Ali Zaid 
Published: September 2022

A Theoretical and practical study was conducted to analyze the performance of a closed type parabolic trough collector CTPTC. The study was conducted in northern Iraq at longitude 43o.53 and latitude 35º.25. Use water as a working fluid at a mass flow rate of 0.00083,0.0011 0.00138, 0.00166, Kg/sec, with a concentration ratio of 10, 14 and 22. The maximum value of experimental efficiency of 42% in the summer and 29% in the Winter. The theoretical study was conducted according to ASHRAE 93-1986 (RA-91). The hypothetical results show that theoretical efficiency starts at 30% and increases relatively with increasing mass flow and decreases with temperature and the concentration ratio to reach a maximum value of 50%in the summer and a maximum value of 68% in the Winter.
Effect of Different Holding Times on The Facture Behavior for Low Cycle Fatigue of Aluminum Alloy aa6063 at 350 ° c Temperature
Authors: Yahya Mazin Mahmood , Alalkawi Hussain Jasim M. , Al-Mushehdany Abdulwahab.M. 
Published: September 2022

low Cycle Fatigue behavior of aluminum alloy AA6063 heat treated at 350 ° c with different holding times was studied . Constant S – N Curve is designed with the main fatigue parameters . The results are verified with that obtained numerically . Using different holding times with low cycle fatigue properties AA6063 have been observed . Holding times of 2 , 4 , 6 and 8 hours at 350 ° C temperature was used . The yield stress and the ultimate tensile strength were decreased with the increasing the holding time . The strength Coefficient K and the strain hardening index n results were increased as the holding time temperature increased . Also the exponent b of fatigue strength and the exponent C of fatigue ductility were increased as the holding time increased . Cyclic elastic Strain do not change much with increasing the time at Same temperature 350 ° C and the situation is also the Same for fatigue strain coefficient , for the cyclic plastic strain - Optic Micrograph images were taken using variable magnification before and after fatigue test . Moreover the failure mechanisms with microstructural features are studied using scanning electron microcopy (SEM)
Applying a bifactor model to the functions of relational aggression: Associations with hostile attribution biases and difficulties with emotion regulation
Authors: Colton Kassidy C. , Godleski Stephanie A. , Crane Cory A. 
Published: September 2022

AbstractPrevious research suggests that reactive and proactive aggression likely have distinct underlying mechanisms that uniquely contribute to the perpetration of each as a result of faulty cognitive and emotional processes. Still, very little work has examined the association of the functions of relational aggression with emotion dysregulation and hostile attribution biases. In addition, it is important to examine relational aggression in its pure and co‐occurring functions given that past work finds reactive and proactive aggression to occur both jointly and distinctly. Thus, the current study employed a bifactor model to distinguish between pure reactive, pure proactive, and co‐occurring relational aggression in emerging adulthood (N = 647, Mage = 19.92, SD = 2.83), a developmental time period for which relational aggression is particularly prominent. To further address gaps in the relational aggression literature, indirect pathway models revealed that relational hostile attribution biases emerged as a concurrent indirect path in the relationship between emotion dysregulation and pure reactive relational aggression. Furthermore, emotion dysregulation was directly positively associated with both pure functions as well as co‐occurring relational aggression, and hostile attribution biases for relational provocations were directly associated with both pure functions of relational aggression, though the association was negative for pure proactive and positive for pure reactive relational aggression. Findings highlight the potential influence of emotion dysregulation and attributing hostile intent to social situations on engaging in the different functions of relational aggression.
Neural network based recursive terminal sliding mode control and its application to active power filters
Authors: Chu Yundi , Hou Shixi , Fu Shili , Fei Juntao 
Published: September 2022

SummaryIn recent times, research interests for the control design of uncertain nonlinear systems are observed in neuroscience‐inspired intelligent controllers. In this article, a recursive terminal sliding mode control scheme based on continuous radial basis emotional neural network (CRBENN) is proposed. First, a recursive terminal sliding mode controller is constructed. The sliding mode surface is composed of a fast non‐singular terminal sliding mode surface and a recursive integral terminal sliding mode surface, which not only ensures that the tracking error converges to zero in a finite time, but also can eliminate the reaching phase and achieve global robustness by setting the surface parameters with appropriate initial values. In addition, in order to effectively deal with the uncertainty, an adaptive CRBENN controller with online parameter adjustment capability is established, and its stability and convergence are analyzed using the Lyapunov method. The designed CRBENN, inspired by neuroscience, is simple in structure and fast in response. Simulation and experimental results on active power filter show that the control scheme has good current tracking ability and anti‐interference ability.
NIR‐Assisted MgO‐Based Polydopamine Nanoparticles for Targeted Treatment of Parkinson's Disease through the Blood–Brain Barrier
Authors: Gao Yifei , Cheng Yuxue , Chen Jiapeng , Lin Danmin , Liu Chao , Zhang Ling‐Kun , Yin Liang , Yang Runcai , Guan Yan‐Qing 
Published: September 2022

AbstractThe blood–brain barrier (BBB) is a major limiting factor that prevents the treatment of Parkinson's disease (PD). In the present study, MgOp@PPLP nanoparticles are explored by using MgO nanoparticles as a substrate, polydopamine as a shell, wrapping anti‐SNCA plasmid inside, and modifying polyethylene glycol, lactoferrin, and puerarin on the surface to improve the hydrophilicity, brain targeting and antioxidant properties of the particles, respectively. MgOp@PPLP exhibits superior near‐infrared radiation (NIR) response. Under the guidance of photothermal effect, these MgOp@PPLP particles are capable of penetrating the BBB and be taken up by neuronal cells to exert gene therapy and antioxidant therapy. In both in vivo and in vitro models of PD, MgOp@PPLP exhibits good neuroprotective effects. Therefore, combined with noninvasive NIR radiation, MgOp@PPLP nanoplatform with good biocompatibility becomes an ideal material to combat neurodegenerative diseases.
Electro‐Thermal Characterization of Dynamical VO2 Memristors via Local Activity Modeling
Authors: Brown Timothy D. , Bohaichuk Stephanie M. , Islam Mahnaz , Kumar Suhas , Pop Eric , Williams R. Stanley 
Published: September 2022

AbstractTranslating the surging interest in neuromorphic electronic components, such as those based on nonlinearities near Mott transitions, into large‐scale commercial deployment faces steep challenges in the current lack of means to identify and design key material parameters. These issues are exemplified by the difficulties in connecting measurable material properties to device behavior via circuit element models. Here, the principle of local activity is used to build a model of VO2/SiN Mott threshold switches by sequentially accounting for constraints from a minimal set of quasistatic and dynamic electrical and high‐spatial‐resolution thermal data obtained via in situ thermoreflectance mapping. By combining independent data sets for devices with varying dimensions, the model is distilled to measurable material properties, and device scaling laws are established. The model can accurately predict electrical and thermal conductivities and capacitances and locally active dynamics (especially persistent spiking self‐oscillations). The systematic procedure by which this model is developed has been a missing link in predictively connecting neuromorphic device behavior with their underlying material properties, and should enable rapid screening of material candidates before employing expensive manufacturing processes and testing procedures.
Atomic‐Scale Structure Dynamics of Nanocrystals Revealed By In Situ and Environmental Transmission Electron Microscopy
Authors: Zhao Haofei , Zhu Yuchen , Ye Huanyu , He Yang , Li Hao , Sun Yifei , Yang Feng , Wang Rongming 
Published: September 2022

AbstractNanocrystals are of great importance in material sciences and industry. Engineering nanocrystals with desired structures and properties is no doubt one of the most important challenges in the field, which requires deep insight into atomic‐scale dynamics of nanocrystals during the process. The rapid developments of in situ transmission electron microscopy (TEM), especially environmental TEM, reveal insights into nanocrystals to digest. According to the considerable progress based on in situ electron microscopy, a comprehensive review on nanocrystal dynamics from three aspects: nucleation and growth, structure evolution, and dynamics in reaction conditions are given. In the nucleation and growth part, existing nucleation theories and growth pathways are organized based on liquid and gas–solid phases. In the structure evolution part, the focus is on in‐depth mechanistic understanding of the evolution, including defects, phase, and disorder/order transitions. In the part of dynamics in reaction conditions, solid–solid and gas–solid interfaces of nanocrystals in atmosphere are discussed and the structure–property relationship is correlated. Even though impressive progress is made, additional efforts are required to develop the integrated and operando TEM methodologies for unveiling nanocrystal dynamics with high spatial, energy, and temporal resolutions.
Soil sensing and machine learning reveal factors affecting maize yield in the mid‐Atlantic United States
Authors: Kinoshita Rintaro , Tani Masayuki , Sherpa Sonam , Ghahramani Afshin , van Es Harold M. 
Published: September 2022

AbstractIn large‐scale arable cropping systems, understanding within‐field yield variations and yield‐limiting factors are crucial for optimizing resource investments and financial returns, while avoiding adverse environmental effects. Sensing technologies can collect various crop and soil information, but there is a need to assess whether they reveal within‐field yield constraints. Spatial data regarding grain yields, proximal soil sensing data, and topographical and soil properties were collected from 26 maize (Zea mays L.) growing fields in the U.S. Mid‐Atlantic. Apparent soil electrical conductivity (ECa) collected by an on‐the‐go sensor (Veris) was an effective method for estimating subsoil textural variation and water holding capacity in the Coastal Plain region, which was also the best predictor of spatial yield pattern when combined with surface pH and topographic wetness index in a Random Forest (RF) model. In the Piedmont Plateau region, proximal soil sensors showed a lower correlation to measured soil properties, while topographical properties (aspect and slope) were important estimators of spatial yield patterns in an RF model. In locations where the RF model failed to predict yield variation, soil compaction appeared to be limiting crop yields. In conclusion, the application of RF models using ECa sensors and topographical properties was effective in revealing within‐field yield constraints, especially in the Coastal Plain region. On the Piedmont Plateau, the calibration of proximal sensor information needs to be improved with a particular focus on soil compaction.
Development of an artificial intelligence‐based diagnostic model for Alzheimer's disease
Authors: Fujita Kazuki , Katsuki Masahito , Takasu Ai , Kitajima Ayako , Shimazu Tomokazu , Maruki Yuichi 
Published: September 2022

AbstractIntroductionThe diagnosis of Alzheimer's disease (AD) is sometimes difficult for nonspecialists, resulting in misdiagnosis. A missed diagnosis can lead to improper management and poor outcomes. Moreover, nonspecialists lack a simple diagnostic model with high accuracy for AD diagnosis.MethodsRandomly assigned data, including training data, of 6000 patients and test data of 1932 from 7932 patients who visited our memory clinic between 2009 and 2021 were introduced into the artificial intelligence (AI)‐based AD diagnostic model, which we had developed.ResultsThe AI‐based AD diagnostic model used age, sex, Hasegawa's Dementia Scale‐Revised, the Mini‐Mental State Examination, the educational level, and the voxel‐based specific regional analysis system for Alzheimer's disease (VSRAD) score. It had a sensitivity, specificity, and c‐static value of 0.954, 0.453, and 0.819, respectively. The other AI‐based model that did not use the VSRAD had a sensitivity, specificity, and c‐static value of 0.940, 0.504, and 0.817, respectively.DiscussionWe created an AD diagnostic model with high sensitivity for AD diagnosis using only data acquired in daily clinical practice. By using these AI‐based models, nonspecialists could reduce missed diagnoses and contribute to the appropriate use of medical resources.