bluuebunny/crossref_metadata_2025 huggingface dataset:
Methodological foundations of information support for decision-making in the field of food, environmental, and socio-economic components of national security
Authors: Skydan Oleh , Nykolyuk Olga , Pyvovar Petro , Topolnytskyi Pavlo
Published: March 2023

The negative impact of strategic threats to the development of the state in the context of the development of its national security, in particular food, environmental, and socio-economic components, has intensified in the context of Ukraine's geopolitical challenges. This issue has become particularly acute as a result of open military aggression, which makes it necessary to develop and implement a system of information support for decision-making in the field of national security of Ukraine. Therefore, the purpose of the study is to substantiate methodological foundations of information support of decision-making in the field of national security of Ukraine and their implementation within the framework of the created system, which provides for the collection of information, in particular, using space and geographic information systems, and the use of mathematical modelling and situational analysis methods for data processing. In the course of the research, methods of econometric modelling, structural and functional modelling, and spatial analysis were used. A methodological framework has been developed for decision-making support to address the problems of food, environmental, and socio-economic components of national security. A functional model and algorithm of the decision-making process in the field of national security are constructed and, based on the results obtained, a decision-making system in the field of food, environmental, and socio-economic security is developed. In addition, the study formalises the conceptual provisions of the decision-making support process in the field of national security; a procedure for modelling the country's food security indicators is proposed. Based on the proposed methodological approach, it was determined how much the area of crops decreased due to the temporary occupation and military operations, and the post-war state of fields (minelaying, destruction of crops, equipment, etc.), which allowed forming input data for further projecting of indicators of the development of the agricultural sector and food security in Ukraine, the EU, and the world. The proposed methodological provisions, algorithms, models, and the developed system can be used by state authorities to make managerial decisions on the development of policy in the areas of ensuring food, environmental, and socio-economic security of the country
Kayseri’de Çoklu Regresyon ve Coğrafi Ağırlıklı Regresyon Yöntemleri ile Konutların Toplu Değerlemesi
Authors: TOPRAK Mehmet Fatih , GÜNGÖR Oğuz
Published: March 2023

Konutların toplu olarak değerleme işlemleri için çoklu regresyon ve coğrafi ağırlıklı regresyon analizleri kullanılarak yürütülen bu çalışma için Kayseri’de çok katlı binalarda yer alan konut verileri toplanmıştır. Öznitelik bilgileri olarak, konutun çevresine, konutun içinde bulunduğu binaya ve konutun iç özelliklerine ilişkin bilgiler toplanmıştır. Toplam 1365 adet veri ile yürütülen çalışmada her iki yönteme ilişkin sonuçların karşılaştırılabilmesi için R2, Ortalama Mutlak Hata (MAE), Mutlak Hata Oranları Ortalaması (MAPE), Hata Kareleri Ortalaması (MSE) ve Hata Kareleri Ortalamasının Karekökü (RMSE) ölçütleri hesaplanmıştır. Çoklu regresyon yönteminde R2: 0.741796, MAE: 89326, MAPE: 0.1675, MSE: 13256373049, RMSE: 115136 ve standart sapma: 0.1576 olarak bulunmuştur. Coğrafi ağırlıklı regresyon yönteminde ise R2: 0.762649, MAE: 85533, MAPE: 0.1604, MSE: 12185751976, RMSE: 110389 ve standart sapma: 0.1536 olarak hesaplanmıştır. Çoklu regresyon ve coğrafi ağırlıklı regresyon analizleri ile konut değer tahminlerinin her ikisinde de sonuçlar birbirine çok yakın çıkmış ve Kayseri şehir merkezinde konutların toplu olarak değerleme işlemlerinin bu yöntemlerle yapılabileceği sonucuna varılmıştır.
Bilgi Yönetimi Süreçleri, Açık-Örtük Bilgi Dönüşüm Süreçleri ve Bilgi Yönetimi Teknolojik Araçları İlişkisi Üzerine Nicel Bir Araştırma
Authors: Önaçan Mehmet Bilge Kağan , Medeni Tunç D.
Published: March 2023

Organizasyonda bilginin iyi bir şekilde yönetilebilmesi için teknolojinin kullanılması tartışılmaz bir gerekliliktir. Ancak bunun için nasıl bir teknolojik altyapı oluşturulacağı ve hangi teknolojik araçların kullanılması gerektiği önemli bir sorun alanıdır. Bu çalışmanın amacı, Bilgi Yönetimi (BY)’ne en fazla katkı sağlayan BY teknolojik araçlarını tespit ederek organizasyonda bilginin en iyi şekilde yönetilebilmesini sağlayacak teknolojik altyapının oluşturulmasına katkı sağlamaktır. Bu maksatla yapılan çalışmada betimsel araştırma yöntemlerinden tekil tarama modeli kullanılmış ve organizasyonlar için bilişim teknolojisi çözümleri üreten firmaların bilişim uzmanlarına anket uygulanmıştır. Veriler, Basit Toplamlı Ağırlıklandırma (BTA; Simple Additive Weighting- SAW) ve Hiyerarşik Ağırlıklandırma (HA) yöntemleri kullanılarak değerlendirilmiştir. Hâlihazırda piyasada mevcut olan 24 adet BY teknolojik aracının her birinin, bilginin üretilmesi, depolanması, paylaşılması ve kullanılmasından oluşan BY’nin temel süreçlerine; sosyalleşme, dışsallaştırma, birleştirme ve içselleştirmeden oluşan açık-örtük bilgi dönüşüm süreçlerine katkısı tespit edilerek genel olarak BY’ne en fazla katkı sağlayan BY teknolojik araçları sıralanmıştır. BY’ne en fazla katkı sağlayan ilk beş araç sırasıyla Bilgi Kapısı, Belge Yönetim Sistemi, Doküman Yönetim Sistemi, e-Posta ile Tartışma Grupları ve Forumlar şeklinde ortaya çıkmıştır. Bu çalışmanın; yöneticilerin kendi organizasyonlarında bilgi yönetimi girişimi başlatmalarına yardımcı olabileceği, BY teknolojileri geliştiren firmalara sistem tasarımına yönelik fikir vereceği ve akademisyenler için ise çalışmalarında kullanabileceği ampirik veriler sunacağı değerlendirilmektedir.
Contemporary Literary and Cultural Theory
Authors: Di Leo Jeffrey R.
Published: March 2023

The most exhaustive mapping of contemporary literary theory to date, this book offers a comprehensive overview of the current state of the field of contemporary literary theory. Examining 75 key topics across 15 chapters, it provides an approachable and encyclopedic introduction to the most important areas of contemporary theory today.

Proceeding broadly chronologically from early theory all the way through to new new criticism, Di Leo masterfully unpacks established topics such as psychoanalysis, structuralism and Marxism, as well as newer topics such as trans theory, animal studies, disability studies, blue humanities, disability studies and many more.

Featuring accessible discussion of the work of foundational theorists such as Lacan, Derrida and Freud as well as contemporary theorists such as Haraway, Braidotti and Hayles, it offers a magisterial examination of an enormously rich and varied body of work.
The effects of donepezil on anxiety- and depression-like behaviors in diabetic rats and the role of nitric oxide modulators
Authors: Öz Mehmet , Nurullahoğlu Atalık Kısmet Esra , Aslanlar Durmuş Ali
Published: March 2023

Aims: The aim of the present study was to evaluate the effect of an acetylcholinesterase inhibitor donepezil on the diabetes-induced anxiety and depression and the role of nitric oxide in these effects.
Methods: Thirty male Wistar rats were randomly divided into 2 groups at first; the control group (n=6) and the diabetic group (n=24). The diabetic group divided into four groups, a single dose of streptozotocin was used to induce experimental type 1 diabetes. After 30 days, one group was separated as diabetic control, while the other three received 4 mg/kg p.o. donepezil for 20 days. One of the DON groups was administered 20 mg/kg i.p., L-NAME for 20 days, while the other group was administered 40 mg/kg i.p., L-arginine for 20 days.
Results: Anxiety-like behaviors were assessed using the open field test (OFT), and depression-like behaviors were estimated using the forced swim test (FST). In the OFT, all diabetic rats spent less time in the center and engaged in less exploratory behavior than the control group.  The number of lines crossed where locomotor activity was assessed did not differ significantly between groups. In the FST, duration of immobility increased significantly in diabetic groups compared to the control. Donepezil administration did not affect either depression or anxiety responses. Moreover, donepezil plus L-arginine increased diabetes-induced depression significantly.
Conclusion: These findings may suggest that cholinergic and nitrergic systems may interact on depression-like behaviors in diabetic rats.
Candida spp. infection frequency and risk factors in malignant critical care patients
Authors: İleri Fikri Burcu , Öztaş Alev , Özsağıroğlu Hazal , Turan Güldem
Published: March 2023

Aims: Candida spp. can cause fatal infections in the person in case of immunosuppression such as malignancy. The aim of our study is to examine the frequency, prognosis and risk factors of candida-related infections in our patients with malignancies followed in our intensive care unit (ICU).
Methods: ICU patients with malignancy with fungal infection accepted as the case group and the patients without candida were considered as the control. Demographic characteristics, risk factors and candida risk scores were recorded and compared in both groups.
Results: Candida spp. reproduction was observed at a very high rate with 24%. However, there was no difference in mortality between the two groups with and without candida infection. In our study; candida risk score, presence and duration of central venous catheter, antibiotic and steroid use in the last 1 month were found to be the factors determining the risk of candida infection.
Conclusion: The contribution of the presence of fungal infection to mortality in our cancer patients does not seem different from others. However, in this patient group, it is difficult to distinguish colonization from invasive fungal infections. At this stage, the use of treatment decisions using risk factors and risk scoring comes to the fore.
CREATION OF THE THESAURUS OF LEGAL TERMS IN UZBEKISTAN – AN URGENT TASK!
Authors:   Tashkent State University of Law, Kuchimov Shukhrat
Published: March 2023

This article deals with the issues of legal linguistics, thesaurus, legal language, legal terminology, language of laws, legal style and legal translation. It is emphasized that the creation of a legal thesaurus platform in Uzbekistan is an urgent task. The research works carried out in the field of legal language and legal terminology during the years of independence is also analyzed and the problems in this sphere are identified. The use of legal terms in different forms leads to negative situations in legal practice, because such legal terms have semantically specific semantic subtleties, and when they are given in a legal text, these semantic subtleties become even more significant. This causes different understandings and interpretations of normative legal documents by specialists and citizens and negatively affects the process of implementation in practice, which is absolutely unacceptable in the legal aspect. Legal documents should be expressed very clearly and distinctly, and the person who reads them should understand only the meaning implied by the lawyer, not mixed with other concepts. The issues of law-making in the state language and jurisprudence in Uzbekistan, foreign and domestic experience in this sphere, and problems of jurisprudence have been analyzed and scientific proposals and recommendations for their solution have been given.
ISSUES OF LEGAL PRIORITY OF COPYRIGHT IN THE RELATIONSHIP BETWEEN THE AUTHOR AND THE EMPLOYER OR CUSTOMER
Authors:   Tashkent State University of Law, Okyulov Omonboy
Published: March 2023

This scientific article analyzes the essence of freedom, creativity and dynamics in the civil circulation of the rights of the author-creator. The author argues that there is a significant need to enrich the freedom of creativity as an integral part of human rights and freedoms in the process of constitutional reforms. When realizing the freedom of creativity, works of science, literature, art, objects of patent rights are always created objects of intellectual property. If there are signs of the legal protection of the ability of these objects, the author of the creator has advantages, a priority for acquiring exclusive rights. Such an advantage can be realized even in the case when the intellectual property object is created on the basis of an employment contract concluded with the author and employers or on the basis of a civil contract concluded between the customer and the author. The author analyzes the features of the manifestation of the priority of the author’s rights in law enforcement and judicial practice.
ISSUES OF ENSURING THE RIGHT OF CITIZENS TO HIGHER EDUCATION BY IMPROVING DISTANCE EDUCATION
Authors:   Tashkent State University of Law, Bokiyev Jahongir
Published: March 2023

The potential of digital technology is efficiently utilized in many sectors of the contemporary, developing world. In particular, the fact that the educational system is providing more and more of these chances each day helps to uphold the right to education. We are aware that the coronavirus epidemic, which has had devastating effects on all of mankind over the past two years, has also brought to light a number of issues in the area of education that have not yet been fully handled. In the context of a protracted pandemic, distance education has become the only way to continue the educational process. Without a doubt, the usage of IT tools and digital learning environments is crucial in providing high-quality remote education. Because this form of education is unimaginable without them. This article discusses how the possibilities of remote education have increased as a result of the development of digital technologies, which is vital in maintaining the right to higher education. It does so based on the perspectives of local and international scientists as well as legislative documents. The analysis reveals in detail the concept of distance education, the concept of distance educational technologies, the features of distance education, as well as the problems associated with the organization of distance education, their legal nature, and their essence.
THEORETICAL ANALYSIS OF THE IMPACT OF DIGITAL TECHNOLOGIES ON PRIVACY RIGHTS
Authors:   Tashkent State University of Law, Madiyev Fakhriddin
Published: March 2023

This article presents a theoretical analysis of the impact of digital technologies on the right to privacy, the development of digital technologies, the widespread introduction of digital technologies in the life of our society, and the need to carry out scientific research on ensuring the privacy of citizens living in our country. Therefore, it is necessary to study and analyze the concept of the right to privacy from conceptual, scientific, and methodological point of view. According to the author, it is possible to develop an author’s definition of the concept of “inviolability of personal life” by referring to such things as “collection, storage, use of information about his personal life”, “the confidentiality of letters, telephone conversations, telegraphs and other transmissions”, “protection against interference with his personal life”, “protection against interference with his personal life”, “not disclosing information related to honor and dignity without their consent”. The article analyzes the advanced experience of foreign countries and the approaches of legal scholars to privacy, comprehensively studies the right to privacy in the context of digitization and the specific features of its constitutional and legal regulation. Proposals for improving the legislation of Uzbekistan on personal privacy were suggested.
Anthropogenic CO2 emission estimates in the Tokyo Metropolitan Area from ground-based CO2 column observations
Authors: Ohyama Hirofumi , Frey Matthias Max , Morino Isamu , Shiomi Kei , Nishihashi Masahide , Miyauchi Tatsuya , Yamada Hiroko , Saito Makoto , Wakasa Masanobu , Blumenstock Thomas , Hase Frank
Published: March 2023

Abstract. Urban areas are responsible for more than 40 % of global energy-related carbon dioxide (CO2) emissions. The Tokyo Metropolitan Area (TMA), Japan, one of the most populated regions in the world, includes various emission sources, such as thermal power plants, automobile traffic, and residential facilities. We conducted an intensive field campaign in the TMA from February to April 2016 to measure column-averaged dry-air mole fractions of CO2 (XCO2) with three ground-based Fourier transform spectrometers (one IFS 125HR and two EM27/SUN spectrometers). At two urban sites (Saitama and Sodegaura), measured XCO2 values were generally larger than those at a rural site (Tsukuba) by up to 9.5 ppm, and average diurnal variations increased toward evening. To simulate the XCO2 enhancement (ΔXCO2) resulting from emissions at each observation site, we used the Stochastic Time‐Inverted Lagrangian Transport (STILT) model driven by meteorological fields at a horizontal resolution of ~1 km from the Weather Research Forecast (WRF) model, which was coupled with anthropogenic (large point source and nonpoint source) CO2 emissions and biogenic fluxes. Although some of the diurnal variation of ΔXCO2 was not reproduced and plumes from nearby large point sources were not captured, primarily because of a transport modeling error, the WRF–STILT simulations using prior fluxes were generally in good agreement with the observations (mean bias, 0.30 ppm; standard deviation, 1.31 ppm). By combining observations with high-resolution modeling, we developed an urban-scale inversion system in which spatially resolved CO2 emission fluxes at >3 km resolution and a scaling factor of large point source emissions were estimated on a monthly basis by using Bayesian inference. The ΔXCO2 simulation results from the posterior CO2 fluxes were improved (mean bias, –0.03 ppm; standard deviation, 1.21 ppm). In addition, the inverse analysis reduced the uncertainty in total CO2 emissions in the TMA by a factor of ∼2. The posterior total CO2 emissions agreed with emission inventories within the posterior uncertainty at the 95 % confidence level, demonstrating that the EM27/SUN spectrometer data can constrain urban-scale monthly CO2 emissions.
CompLaB v1.0: a scalable pore-scale model for flow, biogeochemistry, microbial metabolism, and biofilm dynamics
Authors: Jung Heewon , Song Hyun-Seob , Meile Christof
Published: March 2023

Abstract. Microbial activity and chemical reactions in porous media depend on the local conditions at the pore scale and can involve complex feedback with
fluid flow and mass transport. We present a modeling framework that quantitatively accounts for the interactions between the bio(geo)chemical and
physical processes and that can integrate genome-scale microbial metabolic information into a dynamically changing, spatially explicit
representation of environmental conditions. The model couples a lattice Boltzmann implementation of Navier–Stokes (flow) and
advection–diffusion-reaction (mass conservation) equations. Reaction formulations can include both kinetic rate expressions and flux balance
analysis, thereby integrating reactive transport modeling and systems biology. We also show that the use of surrogate models such as neural network
representations of in silico cell models can speed up computations significantly, facilitating applications to complex environmental
systems. Parallelization enables simulations that resolve heterogeneity at multiple scales, and a cellular automaton module provides additional
capabilities to simulate biofilm dynamics. The code thus constitutes a platform suitable for a range of environmental, engineering and –
potentially – medical applications, in particular ones that involve the simulation of microbial dynamics.
Estimation of the Speed of the Vehicle Using MATLAB
Authors: Bala Rajni , Marwaha Anupma , Gupta Megha , Sharma Udit , Kishore Gaurav , Rishika  , Goel Himanshu , Bansal Gaurav , Marwaha Sanjay
Published: March 2023

The research paper uses image processing to exhibit moving car video sequences and estimates their speeds. In this paper, grayscale is utilized by the MatLAB program to pre-process video images and give a stream of legitimate video footage of traffic. This article’s challenge uses a deep studying method that wishes a vast quantity of computation for training. Thus, Authors determined to lessen the scope of the challenge to teach a version that could examine one-of-a-kind site visitors’ velocity symptoms and symptoms.
Hybridization, Youth Subculture, and the Self-making of Senior Muslim Students in a Philippine Public High School
Authors: Lanuza Gerry
Published: March 2023

Public schools are spaces for producing self-disciplined “pedagogized” bodies. But they are also a niche for students to create various subcultures that are different from the official school culture. When Muslim students enroll in public schools, they are positioned within these heterogenous spaces, yet as the present study shows, following the Foucauldian approach that ties culture to power and resistance, Muslim students are also able to create their own “techniques” of self-making that allow them to avoid the panoptic surveillance of the school while also blending, though not completely, with the mainstream culture of the students. This study, by focusing on senior Muslim students, maps out the various subcultural styles within the Makabayan school by relying exclusively on the emic categories of the students.
Thinking Straight: Queer Imaging in Lino Brocka’s Maynila (1975)
Authors: David Joel
Published: March 2023

The separation in so-called public political discourse and private identity issues attained recent cultural cutting-edge status in the articulation of gender issues. In view of the artificiality of disciplinary boundaries, this paper seeks to evaluate the potential of queer politics (focused on gay-male practice) within the exploratory terms provided by a major city film, Lino Brocka’s Maynila: Sa mga kuko ng liwanag (1975), produced during martial rule. The area of application of this analysis will be Philippine popular culture, in consideration of the country’s position as a post-colonized territory that had set up a dictatorial regime to facilitate neocolonial control by the US.
Cooperation in social dilemmas: Biological Foundations and context-dependent social norms
Authors:   ,   Universidad del Desarrollo, Rivera Hechem María Ignacia
Published: March 2023

This dissertation explores biological and institutional factors determining human cooperation using an experimental economics approach. It includes two published articles. The first one is called “No association between genetic variants in MAOA, OXTR, and AVPR1a and cooperative strategies” and the second one is named “Effects of experience with access regimes on stewardship behaviors of small-scale fishers”. The first study explores the genetic basis of cooperative strategies in humans. To do so it assesses the association between the strategies displayed by university students in a public good game with the variability observed in three candidate genetic variants. The latter study explores the role played by formal institutions in fostering cooperative norms in groups of users of natural resources. To do this it compares the cooperative behaviors displayed by artisanal fishers in a common pool resource game framed under two scenarios. Each scenario recreates one of two access regimes these fishers face in their real life. The differences in behavior displayed between the two scenarios are suggestive of the norms and expectations that subjects have internalized under each access regime in real life
Rol de la emoción en el procesamiento neurocognitivo: Aproximación multinivel a la modulación de las funciones ejecutivas por emociones
Authors:   ,   Universidad del Desarrollo, Cortés Rivera Cristian
Published: March 2023

Tradicionalmente, las funciones ejecutivas han sido estudiadas utilizando tareas estructuralmente simples y sin precisar en la afectividad de sus estímulos. Además, la mayoría de estos estudios carecen de un paradigma experimental que combine resultados conductuales y neuroelectrofisiológicos. De esta forma, la presente tesis se elabora desde un paradigma multinivel que busca responder el principal objetivo de investigación, que es “Evaluar el efecto que presentan las distintas dimensiones afectivas de los estímulos visuales sobre el procesamiento neurocognitivo y la conducta, y la relación que existe entre estas variables ante una inducción de estrés”. Participaron de esta investigación estudiantes universitarios, quienes respondieron voluntariamente a dos condiciones de una misma tarea de funcionamiento ejecutivo, subdividida de acuerdo al nivel de saliencia y valencia emocional. Se utilizaron como tareas de funcionamiento ejecutivo versiones computarizadas de las tareas clásicas de control inhibitorio (Go/no-go), memoria de trabajo (1-back visuoespacial) y flexibilidad cognitiva (Dimensional Change Card Sort y Gender/Emotion Switch Task), evaluando las respuestas conductuales (velocidad y precisión de las respuestas) y la actividad neuroelectrofisiológica mediante registros electroencefalográficos y la técnica de evaluación de potenciales evocados. En primer lugar, los resultados derivados de esta investigación dan cuenta de una diferencia en el tiempo de respuesta de los sujetos cuando son enfrentados a dos versiones de una misma tarea, que difieren en la saliencia afectiva de sus estímulos, sin mostrar diferencias cuando se evalúan en términos de la valencia afectiva. Un segundo conjunto de resultados revelan que estas diferencias a nivel de desempeño conductual son acompañadas de diferencias en términos de la actividad neuroelectrofisiológica, evidenciando diferencias en la amplitud de potenciales evocados específicos cuando los estímulos difieren en términos de saliencia afectiva
Knowledge and information leakages in strategic alliances with competitors
Authors:   ,   Universidad del Desarrollo, Chávez Bustamante Felipe Orlando Gabriel
Published: March 2023

Alliances allow businesses to access valuable resources in complex environments. Nonetheless, these interfirm agreements also make firms’ boundaries permeable to involuntary leakages of information and knowledge. This dissertation theoretically examines the interplay between information and knowledge leakages, the nature and intensity of market competition, and the incentives to pursue strategic alliances with competitors. To this end, the dissertation adopts a game-theoretic approach that accounts for the market consequences of knowledge and information leakages and the incentives to pursue strategic alliances that they generate. The main findings suggest that knowledge and information leakages might induce firms to engage in opportunistic behaviour and that the threat of such behaviour has important effects on the incentives to participate in these interfirm agreements. Thus, while knowledge leakage may drive firms to behave opportunistically by imitating its competitor, information leakage has the potential to alter the information structure of competition, modifying the incentives to generate joint value through the pursuit of strategic alliances. These findings constitute novel theoretical insights about the effects of knowledge and information leakages on the competitive behaviour of firms interacting in environments in which they simultaneously cooperate and compete with the intent to create joint value
Çip Krizinin Otomotiv Sektörü Üzerindeki Etkileri
Authors: KAYA Hatice Pınar
Published: March 2023

Otomotiv sektörü açısından çipler kritik öneme sahip bileşenlerdir. Son yıllarda otomotiv sektörü Covid-19 salgınının da etkisiyle çip krizi ile karşı karşıya kalmıştır. Çip kıtlığı otomotiv üreticilerinin faaliyetlerine ara vermelerine ve yeni araç üretimlerini istenen seviyeye getirememelerine sebep olmuştur. Bunun sonucunda piyasada sıfır araç bulmak çok zorlaşmış, sıfır ve ikinci el araç fiyatları yükselmiştir. Bu çalışmanın amacı, küresel bir sorun haline gelen ve ülke ekonomileri üzerinde önemli etkileri olan çip krizinin sebeplerini, otomotiv sektörü üzerindeki olumsuz etkilerini ve krizi aşmak için alınması gereken önlemleri araştırmaktır. Çalışmada nitel araştırma yöntemlerinden biri olan doküman analizi yöntemi kullanılmıştır. Çalışmanın sonucunda; geçmiş on yıl verileri ile karşılaştırıldığında 2020 yılının dünya otomotiv sektörü açısından üretim ve satış miktarının en düşük seviyede gerçekleştiği, Türkiye açısından ise hem otomotiv üretiminin hem de satışlarının en sert düşüş gösterdiği yıl olduğu tespit edilmiştir. Küresel çip krizini aşmanın ve çipte dışa bağımlılığı azaltmanın en iyi yolu yerel çip tasarımını ve üretimini desteklemektir.
Birinci Jön Türk Hareketinde (Genç/Yeni Osmanlılarda) Milli Egemenlik İzleri
Authors: AZİZATA Fatih Serkan
Published: March 2023

Genç Osmanlılar Cemiyeti, Türk fikriyatına milli egemenlik fikrini olmasa da, millet fikrini yerleştirmiş bir siyasi cereyandır. Nihayeti meşrutiyetin ilan edilmesine ulaşan bu hareket, Osmanlı’dan sonra kurulacak yeni Türk devletinin, milli egemenlik esasına dayalı olarak ku-rulması adına bir başlangıç niteliğinde olmuştur. Bu çalışmada Genç Osmanlılar Cemiyetinin kısa hikayesine değinildikten sonra, Cemiyetin önemli ideologlarından Mustafa Fazıl Paşa, Namık Kemal, Ziya Paşa ve Ali Suavi’nin, ileride tesis edilecek milli egemenlik idaresine kapı aralayacak kimi fikirlerine değinilmiştir. Mustafa Fazıl Paşa’nın Sultan Abdülaziz’e yazdığı mektup ile başlayan meşrutiyet talebi sürecinde, Namık Kemal’in, millet ve milli egemenlik adına ortaya koyduğu fikirleri; Ziya Paşa’nın millet meclisi kurulması ile ilgili beyanları ve Ali Suavi’nin, laiklik, Türkçülük ve demokrasi kavramlarına dair yazdığı yazılar çalışmanın gövde-sini oluşturmuştur. En nihayetinde Birinci Jön Türk Hareketinin (Genç/Yeni Osmanlıların), Türkiye’de 1920’de tesis edilecek milli egemenlik idaresinin sağlanması adına ne denli önemli bir rol oynadığı değerlendirilerek çalışma tamamlanmıştır.
A New Remote Sensing Image Retrieval Method Based on CNN and YOLO
Authors: Junwei Xin Junwei Xin , Junwei Xin Famao Ye , Famao Ye Yuanping Xia , Yuanping Xia Yan Luo , Yan Luo Xiaoyong Chen
Published: March 2023

<>Retrieving remote sensing images plays a key role in RS fields, which activates researchers to design a highly effective extraction method of image high-level features. However, despite the advanced features of the image can be extracted by deep-learning method, features fail to cover the overall information due to its rich and complex background. Extract key regions from RS images, recede background interference and retrieval accuracy needs to be solved. Combined YOLOv5 target recognition algorithm with deep-learning method, this paper proposes a novel retrieval method based on target critical region detection. Firstly, the key retrieval regions have been identified. YOLOv5 target recognition algorithm has been used to identify the key regions of the image and served as the retrieval regions. Secondly, the retrieval characteristics are determined. Combining with the CNN model ResNet50, the retrieval features are extracted from the retrieval regions acquired in the previous step, in addition, PCA method has been used to reduce the dimension of the retrieval features. Finally, using weighted distance based on class probability to measure the similarity between a query and retrieve images. Experimental results show that the proposed method can extract better image retrieval features and improve the retrieval performance of RS image.<>
An Improved Honey Badger Algorithm for Coverage Optimization in Wireless Sensor Network
Authors: Trong-The Nguyen Trong-The Nguyen , Trong-The Nguyen Thi-Kien Dao , Thi-Kien Dao Trinh-Dong Nguyen , Trinh-Dong Nguyen Vinh-Tiep Nguyen
Published: March 2023

One of the critical indicators for a significant impact on the quality of service of wireless sensor networks (WSN) is coverage that directly determines the monitoring capability of the target monitoring area. This paper suggests a node coverage optimization strategy solution with an improved Honey-badger algorithm (called IHBA) to address the problems of WSN nodes’ uneven distribution and low coverage in the random deployment. The honey-badger algorithm (HBA) is a recently developed metaheuristic algorithm with several advantages, e.g., robust process and ease of implementation; still, HBA has limitations in avoiding the local optimum trap when dealing with complicated node coverage optimization situations. The IHBA is implemented by modifying and updating equations with elite reverse learning and multi-direction strategies to prevent its original algorithm drawbacks. The obtained results on testing the benchmark function and the optimal WSN node coverage of the IHBA compared with the other algorithms in the literature. Compared results show that the IHBA algorithm provides effective optimal performance, convergence speed, and increasing feasible coverage. Significantly, the coverage rate archived of the IHBA is 87%, but the other methods are only below or equally 84% in the same comparison conditions.

 
Drivers of Financial Robot Continuance Usage Intentions: An Application of Self-efficacy Theory
Authors: Kuo Cheng Chung Kuo Cheng Chung , Kuo Cheng Chung Che-Hung Lin
Published: March 2023

As financial technology (FinTech) continues to improve, financial robots gradually become the direction for customers’ investment and financial management references. This study develops an interactive model to illustrate how individuals use financial robots to achieve continuance intentions through self-efficacy. This study is conducted from the perspective of consumers. At present, most consumers obtain financial consulting services from financial robots and determine their investment directions based on data given. This study uses a self-efficacy model and the FinTech perspective to find the key factors for future investors to consider using financial robots. SPSS 21.0 and Smart PLS 3.0 are used in the analysis process. A total of 320 samples are obtained for the analysis in this study. Results show that financial and technological self-efficacy positively affect customers’ continuance intention. This study will help consumers possess the ability to choose financial robots and improve their continuance intentions through financial literacy and task– technology fit (TTF).

 
ICPDS: Design and Analysis of PSSOA and Blockchain Fusion Scheme for Cross-Hospital Medical Systems
Authors: Yu Wang Yu Wang , Yu Wang Xiaolin Qin , Xiaolin Qin Ling Xiong , Ling Xiong Mingxing He
Published: March 2023

With the rapid development of information technology, medical treatments are gradually transforming into digitalization and informatization. The diverse sources and scopes of the medical data are sensitive and significant. As important data assets, medical data are constantly being analyzed and mined. Because of the huge commercial value of medical data, the problems of privacy leakage exist in the centralized information system. They cannot adapt to complex medical environment. Most of the current authentication mechanisms use passwords for verification. It is not easy for users to remember all usernames and passwords. Based on these problems, we design single-sign-on (called SSO) authentication (Password Single-Sign-On Authentication scheme, PSSOA) and blockchain (Improved Cross-Blockchain based Privacy-Preserving Date Sharing scheme, ICPDS) fusion schemes. Users are verified by multiple identity servers in this scheme. Then identity servers issue authentication tokens with threshold manners. The protected identity servers regularly update their master secret shares to defend against malicious adversaries.

 
An Approach to Critical Success Factors in Designing Cloud-based Application Solutions
Authors: Shin-Jer Yang Shin-Jer Yang , Shin-Jer Yang Zi-Ling Lai , Zi-Ling Lai Ming-Chin Hung
Published: March 2023

Recently, the cloud computing is next Internet technology, many companies have designed a comprehensive cloud--based system to consider functional and nonfunctional requirements. Therefore, this paper conducts a two-stage experiments and analysis. In the first stage, we invite professionals to interview and fill out the questionnaire, and then conduct a reliability analysis through the SPSS tool to validate corrections in the questionnaire. This stage erases unnecessary influence factors to find out the CSFs. Secondly, they calculate the weight ratio and rank the sequence for each of the CSFs through analysis of the AHP for questionnaire. After performing above experiments, it obtains the most important CSFs for each facet: the facet of Input Editing is User Experience; the facet of Processing Feature is Computing Logic; the facet of Output Result is Data Accuracy; the facet of Security and Privacy is Data Privacy; the facet of System Architecture is Accessibility; the facet of System Performance is Reliability. In the final calculation of the overall weights of CSFs across all six facets, the top six ranked CSFs cover Data Accuracy, Reliability, Computing Logic, Robustness, Accessibility, and Data Privacy and Encryption. In the future, the proposed methodology can be applied to innovative Cloud-based applications.

 
CSCP: Energy Charging Mechanism for Surveillance Quality, Network Connectivity and Perpetual Lifetime in WRSNs
Authors: Yuanping Kan Yuanping Kan , Yuanping Kan Chih-Yung Chang , Chih-Yung Chang Shih-Jung Wu , Shih-Jung Wu Chin-Hwa Kuo , Chin-Hwa Kuo Diptendu Sinha Roy
Published: March 2023

In recent years, wireless charging techniques applied to sensor networks have been widely studied. The sensors in most studies are considered to be equally important, and the main purpose is to maintain the working sensors as many as possible. However, different sensors have different contributions to the surveillance application, especially for network connectivity and surveillance quality. The sensor closer to the base station has a larger contribution to network connectivity since its failure can block more data transmissions. On the other hand, a sensor in a sparse area has a larger contribution to surveillance quality because few or no neighboring sensors can execute the sensing operation instead of the sensor if it is energy exhaustion. This paper proposes an energy recharging mechanism, called CSCP, which adopts the mobile charger to recharge the sensors according to the recharging requests. The proposed CSCP considers the contribution of each grid in terms of network connectivity, surveillance quality as well as path cost, aiming to recharge the grids where the sensors can maximize the surveillance quality. Performance research reveals that the proposed CSCP has better performance than the related studies in the surveillance quality, the number of working sensors, and recharging efficiency.

 
TriJoin: A Time-Efficient and Scalable Three-Way Distributed Stream Join System
Authors: Shuiying Yu Shuiying Yu , Shuiying Yu Yinting Zheng , Yinting Zheng Fan Zhang , Fan Zhang Hanhua Chen , Hanhua Chen Hai Jin
Published: March 2023

Stream join is one of the most fundamental operations in data stream processing applications. Existing distributed stream join systems can support efficient two-way join, which is a join operation between two streams. Based the two-way join, implementing a three-way join require to be split into double two-way joins, where the second two-way join needs to wait for the join result transmitted from the first two-way join. We show through experiments that such a design raises prohibitively high processing latency. To solve this problem, we propose TriJoin, a time-efficient three-way distributed stream join system. We design a symmetric wait-free structure by symmetrically partitioning tuples and reused join. TriJoin utilizes reused join to join each new tuple with the intermediate result of the other two streams and stored tuples locally. For a new tuple, TriJoin only joins it with the intermediate result to generate the final result without waiting, greatly reducing the processing latency. In TriJoin, we design two partitioning and storage schemes according to two different forms of three-way stream join. We implement TriJoin and conduct comprehensive experiments to evaluate the performance using real-world traces. Results show that TriJoin significantly reduces the processing latency by up to 68%, compared to existing designs.

 
AMS Intrusion Detection Method Based on Improved Generalized Regression Neural Network
Authors: Yuhong Wu Yuhong Wu , Yuhong Wu Xiangdong Hu
Published: March 2023

The smart grid integrates the computer network with the traditional power system and realizes the intelligentization of the power grid. The Advanced Measurement System (AMS) interconnects the power system with the user, realizes the two-way interaction of data and information between the power supplier and the user, and promotes the development of the smart grid. Therefore, the safe operation of AMS is the key to the development of the smart grid. As smart grids and computer networks become more and more closely connected, the number of cyberattacks on AMS continues to increase. Currently, AMS intrusion detection algorithms based on machine learning are constantly being proposed. Machine learning algorithms have better learning and classification capabilities for small sample data, but when faced with a large amount of high-dimensional data information, the learning ability of machine learning algorithms is reduced, and the generalization ability is reduced. To enhance the AMS intrusion detection algorithm, this paper uses a Generalized Regression Neural Network (GRNN) to identify attack behaviors. GRNN has strong non-linear mapping ability, is suitable for unstable data processing with small data characteristics, has good classification and prediction ability, and has been widely used in power grid systems. Aiming at the existing problems, this paper proposes an upgraded generalized regression neural network AMS intrusion detection method DBN-DOA-GRNN. Based on the feature extraction and dimensionality reduction of the data by DBN, GRNN is used for data with less feature information in learning classification. In addition, to improve the detection effect of the method, the Drosophila Optimization Algorithm (DOA) is used to optimize the parameters of GRNN to reduce the influence of random parameters on the detection results, improve the detection accuracy of this method on small-scale sample data, and thereby improve the detection performance of the AMS intrusion detection algorithm. The proposed method archives an accuracy of 87.61%, 3.10% false alarm rate, and 96.9 precision rate.

 
Türkiye’de Kadın Hakları: 2010 Yılı Sonrası Hükümet Programları ile Cumhurbaşkanlığı Yıllık Programları Üzerine Bir İnceleme
Authors: ŞAHYAR AKDEMİR Duru
Published: March 2023

Türkiye’de kadın haklarının gelişimi, dünyadaki gelişmelere de paralel olarak uzunca bir süredir devam etmektedir. Uluslararası mevzuatta ortaya çıkan temel belgelerle birlikte Osmanlı Devleti’nden bugüne taşınan birikimler Türkiye’de kadın hakları konusunun gündeme gelişinin temellerini teşkil etmektedir. Diğer taraftan hakların korunması için söz konusu hak taleplerinin açıkça ortaya konulması ve her bir talebin kendine bir politika kapsamında yer bulması gerekmektedir. Temel bir talebin politika halinde ele alınması ve politika sürecinin izlenmesi için resmi politika belgeleri arasında yer alan “hükümet programları” incelenebilir. Çünkü “hükümet programları” temel toplumsal taleplerin hükümet nezdinde ne şekilde algılandığını göstermektedir. Bu belgeler hükümetler açısından “yol haritası” niteliğine sahip belgelerdir. Bu çerçevede çalışma kadın hakları konusunu temel kamu yönetimi belgeleri özelinde incelemeyi amaçlamaktadır. “Kadın” konusunun insan hakları boyutuyla ele alındığı çalışmada nitel araştırma yöntemi kullanılmıştır. Doküman incelemesi şeklinde gerçekleştirilen araştırmada son 12 yıllık süreç dikkate alınmıştır. 2011 yılından bugüne yayınlanan hükümet programları ve Cumhurbaşkanlığı Yıllık Programları kadın hakları bağlamında analiz edilmiş ve kadın haklarının korunması için daha kapsamlı politikalar geliştirilmesi gerektiği sonucuna erişilmiştir.
Duraklama ve Gerileme Dönemi Osmanlı Siyasetnamelerinde Devletin Hazinesine İlişkin Tespitler
Authors: ENGİN Rıdvan
Published: March 2023

Siyasetnameler, eski çağlardan beri devlet yönetiminde meydana gelen bozulmalara ve yozlaşmalara yakından tanıklık eden dönemin aydınları tarafından hükümdarlara ve devlet adamlarına arz edilen nasihat niteliğindeki eserlerdir. Bu perspektiften ele alındığında bu türdeki eserlerin yazıldığı dönemin iktisadi, mali, siyasi ve toplumsal yapısını yansıttığı söylenebilir.

Bu çalışmada Osmanlı Devleti’nin duraklama ve gerileme döneminde yazılan bazı siyasetname örnekleri incelenmiştir. Bu çerçevede devlet hazinesinin mevcut durumuna ilişkin yazarların tespitleri ortaya konmuştur. Genel olarak değerlendirildiğinde siyasetname örneklerinde devlet hazinesine ilişkin en çok üzerinde durulan meselenin devletin gelir ve giderleri arasındaki dengesizlik olduğu görülmektedir. Bunun yanı sıra vergi toplamakla görevlendirilen tahsildarların halka kötü davranması, vergi muafiyeti nedeniyle hazine gelirlerinin azalması, maaşlı asker sayısının fazlalığı nedeniyle devlet harcamalarının artması, geçmişte alınan borçların ödenememesi, devlet yönetiminde rüşvetin yaygın olması da ele alınan diğer meseleler arasında yer almaktadır. Ayrıca devlet hazinesinden sorumlu defterdarların adil, dürüst, bilgili, tecrübeli ve dindar kimseler olması gerektiği sıkça vurgulanmaktadır.
How Social Democrats Have Reacted to Migrants: Turkish and German Samples
Authors: YILMAZ Onur Alp
Published: March 2023

In this study, the discourses of the CHP and the SPD on Syrian migrants were evaluated. In this study which was carried out for this purpose, firstly, the migration narrative of Turkey and Germany were defined, and then SPD and CHP’s position on this issue were discussed. In this respect, the CHP’s and SPD’s discourses in the media and some of their party documents had been evaluated within path dependency theory. In this context, how the different conjunctures in the two countries affected the universal claims of social democracy and how these two different social democratic parties took positions within the scope of these effects were also evaluated.
Nyadran Tradition as the Implementation of Religious Moderation in Buddhism
Authors: Bagio Andre Agustian , Priyadarshana Wasantha
Published: March 2023

The purpose of this study is to reveal the meaning and function contained in the nyadran ceremony in relation to religious moderation. The method used in this research is ethnography.  The results of the research revealed that the Nyadran Kali tradition is a traditional activity carried out by the community. This tradition is carried out as an expression of gratitude to God and the ancestors for the blessings that have been received by the community in daily life, tradition is used as an activity as a means of creating harmony as a means of paying respect to ancestors. The Nyadran ceremony contains philosophical values related to the implementation of the delegation of services (pattidana) and to maintain the preservation of ancestral customs. There is an educational value considering the moderation in religion contained in the implementation of this tradition. That everyone can always develop a wise attitude or an attitude that has a strong belief in religion is very important, because a person can have the same right to be happy, the right to freely embrace the beliefs he holds and determine a peaceful and happy way of life, without causing suffering. for yourself and for others. Nyadran is an expression of gratitude to God or nature for being given the blessings of prosperity, fertility and abundant springs and the bestowing of services (Patidana), the cultivation of virtue (Dhana) and the implementation of religious moderation that can improve brotherly relations through preserving ancestral traditions (harmony between religious communities.