bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Komunikasi Risiko Komisi Pemberantasan Korupsi dalam Menghadapi Revisi Undang-Undang Komisi Pemberantasan Korupsi Tahun 2019
Authors: RACHMAD ARIF
Published: May 2023

Perjalanan Komisi Pemberantasan Korupsi (KPK) hingga saat ini sarat dengan dinamika dan tantangan. Selama ini, KPK menjalankan tugasnya berdasar pada Undang-Undang nomor 30 tahun 2002, namun pada akhir tahun 2019, muncul wacana dan pembahasan perubahan terhadap Undang-Undang tersebut. Beberapa poin perubahan yang dibahas pada tingkat legislatif dinilai dapat membawa dampak yang cukup signifikan bagi lembaga dan berbagai pemangku kepentingan. Berbagai pihak berpendapat bahwa perubahan Undang-Undang yang menjadi pondasi lembaga tersebut berpotensi memberikan dampak pada kinerja maupun upaya pemberantasan korupsi di Indonesia seperti status lembaga, status pegawai komisi serta kewenangan komisi dalam menjalankan tugas dan fungsinya. Selain itu, wacana perubahan tersebut juga menimbulkan gejolak dan polarisasi publik di berbagai lapisan masyarakat. Perubahan peraturan dan perundang-undangan merupakan salah satu pemicu krisis pada organisasi. Berdasarkan hal tersebut, KPK melakukan sejumlah aktivitas komunikasi publik dalam rangka menghindari terjadinya krisis pada organisasi.
Discourse Network Analysis pada Stakeholder dan Integrated Value Creation dalam CSR Bank Mandiri
Authors: Pratiwi Monica , Murtiningsih Bertha Sri Eko , Juliadi Rismi
Published: May 2023

Program CSR tidak hanya aktivitas yang dilakukan perusahaan dalam memenuhi tanggung jawab sosial perusahaan untuk mendapatkan legitimasi dari masyarakat melainkan mampu mengintegrasikan keseluruhan nilai bersama setiap stakeholder dan bisnis secara berkelanjutan. Integrated Value Creation (IVC) adalah kombinasi antara CSR dan CSV. IVC adalah rangkaian proses untuk membantu perusahaan dalam mengintegrasikan semua nilai dan pemenuhan ekspektasi setiap stakeholder. Proses IVC terdiri dari 7 tahapan yaitu analisis konteks, stakeholder assessment, tinjauan kepemimpinan, peninjauan resiko, analisis kesempatan perusahaan, proses ­redesign, dan integrasi sistem. Dengan teori stakeholder mampu memetakan stakeholder sehingga Bank Mandiri mampu menyampaikan pesan komunikasi secara tepat sesuai kebutuhan setiap stakeholder. Melalui metode analisis jejaring wacana atau Disclosure Network Analysis (DNA), mengelola wacana yang didapatkan melalui 18 media massa online dan hasil wawancara untuk melihat bagaimana hubungan antar aktor, hubungan antar aktor yang terlibat dan konsep serta hubungan antar konsep yang berkenaan dengan strategi komunikasi CSR Program Kewirausahaan Petani Pamarican. Aktivitas CSR memberikan dampak melalui beragam aspek dalam perusahaan dan bisnis secara menyeluruh. Salah satu dampak yang akan diulas berkenaan dengan reputasi perusahaan. Reputasi perusahaan yang positif dapat dilihat melalui beragam dukungan dan keterlibatan dari para stakeholder seperti pemerintah, perusahaan BUMN, lembaga nonprofit, potensial petani, supplier, hingga pemerintah daerah Kebumen yang siap mendukung PT Mitra Desa Kebumen dioperasikan dengan mengimplementasikan sistem yang sama seperti Desa Pamarican. Tidak dipungkiri, keberhasilan Bank Mandiri dalam mengadakan Program Kewirausahaan Petani Pamarican mampu memberikan manfaat yang dirasakan petani dan semua stakeholder yang terlibat. Hal ini menjadi salah satu kunci penting yang mendukung dalam peningkatan reputasi perusahaan.
The impact of @jharnabhagwani content as instagram influencer
Authors: Sono Moh Gifari , Goeliling Ardhi , Buamonabot Irfandi , Nurdiani Tanti Widia , Pratama Dendi
Published: May 2023

Businesses around Instagram influencers involve using these individuals to promote products or services to their followers. Businesses collaborates with influencers in a number of ways, including sponsored posts, affiliate marketing, and brand partnerships. This research examines Influencer marketing role and the impact on social engagement. the analysis technique will be using Instagram Analytics tool. The analytics tool functioned to simplify the old literature’s formula. With using Toolzu Analytics, we don’t need to calculate with complicated formula anymore but getting a complete multi-category data. The results of study show from cosplay being seen as sexualizing hobby, socially awkward, childish, and weird, become an art activity using make-up and show a real costume dress with good crafting and make-up. It’s also a proof that content can be visually pleasing without overdose of sexualization. It is also pretty unique that despite her strong domination of cosplay content, she managed to bring trend of business, education, and vegan from her top user’s interest.
INFLUENCE OF RUNNING TIME AND AGE ON THE FLOW OF VEHICLE FAILURES
Authors:   Industrial University of Tyumen, Tyumen, Russia, Zakharov N. S. , Tenkovskaya S. A. ,   Industrial University of Tyumen, Tyumen, Russia
Published: May 2023

The service life of cars is a key indicator for planning the replacement of outdated equipment with a new one. It is also taken into account during the technical re-equipment of the industry, the development of the material and technical base and has a direct impact on the final results of the enterprise. It is shown that limiting the maximum age and service life of cars is one of the ways to increase their reliability, safety and efficiency. The purpose of the article is to develop a methodology for determining the rational service life of cars, providing a given level of reliability of transport and technological services. The scientific novelty of the research lies in the establishment of patterns and the development of mathematical models of the influence of age and operating time on the parameter of the failure rate of cars. The methodological basis of the work was the systematization of research works carried out earlier on this topic, regulatory documents, scientific and technical literature, as well as methods of mathematical statistics, elements of a systematic approach, methods of economic analysis and expert assessments. Methods of determining rational service life of cars are considered. It is established that each of the known methods has a limited scope of use. So, the schedule built for the implementation of the technical and economic method does not always have a minimum. It is proposed to set the maximum operating time according to the admissible probability of failure. At the same time, it is necessary to take into account not only the mileage since the entry into operation, as it is accepted in most known methods, but also car operation intensity. It is shown that in the general case, there is no statistically significant linear correlation between car age and mileage since the entry into operation. One-factor and two-factor models of the regularities of the influence of these indicators on car failure intensity were developed. On the basis of statistical data on failures of cars of different ages and at different mileages since the entry into operation, the adequacy of the proposed models was checked and the numerical values of their parameters were established. Based on the obtained dependencies, a method for determining the age limit of cars, taking into account their operation intensity, was developed. The effect of it is formed due to a more accurate determination of the service life of cars, which affects the reduction of the number of failures, losses from downtime in current repairs and downtime of the main production of the enterprises under discussion. Further research in this area should be directed to the development of a methodology for adjusting the service life of cars, taking into account their operating conditions.
TRANSFORMATION OF BUSINESS MODELS IN THE AUTOMOTIVE INDUSTRY IN THE CONTEXT OF THE DEVELOPMENT OF UNMANNED TECHNOLOGIES
Authors:   Lomonosov Moscow State University, Moscow, Russia, Lapidus L. V. , Shorokhova V. N. ,   Lomonosov Moscow State University, Moscow, Russia
Published: May 2023

A typical feature of the digital economy is the transformation of business models in all sectors of the economy under the influence of the development of digital technologies, the diffusion of different classes of artificial intelligence solutions. In the automotive industry, the driver of such transformations are unmanned vehicle control systems and the growing influence of the “mobility as a service” (MaaS) paradigm, which has gained particular popularity in recent years. The growing MaaS market and the shift of consumer value from the ownership model to the use model form a new mobility, according to which the transport system depends on the implementation of the principles of the sharing economy concept. Sharing begins to play an important role and becomes dominant in the formation of new consumer patterns, which directly affects the business models of both Russian and foreign automakers. The growing maturity of unmanned technologies also has an impact, which is reflected in strategic partnerships and mergers and acquisitions (M&A) transactions, including with startups specializing in unmanned driving technologies. The purpose of this study is to identify and systematize the conceptual foundations of MaaS and the practice of transforming business processes in the context of the development of unmanned technologies. The article offers recommendations on the formation of innovative business models of automakers, taking into account the ongoing changes in the technological component of the external environment under the influence of the development of technological solutions of artificial intelligence in the MaaS paradigm. Special attention is paid to the development of proposals for the successful transformation of business models of leading automakers, taking into account the global trends of MaaS and the growing maturity of unmanned technologies. When conducting the study, the authors relied on scientific works of domestic and foreign scientists, documents with state initiatives on the use of unmanned technologies on public roads in Australia, Great Britain, Germany, China, the Netherlands, the Russian Federation, the USA, and South Korea. The information base was compiled by reports of consulting companies: McKinsey, BCG, KPMG, PwC, statistical data of EU Industrial R&D Investment Scoreboard, NAIC, OICA.
METHODS FOR QUANTITATIVE RISK ASSESSMENT BASED ON VAR: COMPARATIVE ANALYSIS
Authors:   Financial University under the Government of the Russian Federation, Moscow, Russia, Orlova L. N. , Sayakhetdinov A. R. ,   Financial University under the Government of the Russian Federation, Moscow, Russia
Published: May 2023

At present, when increasing uncertainty, volatility and turbulence are the main attributes of economic activity, the role of risk management as a tool for ensuring the economic and financial security of economic entities is increasing. Risk management provides a risk forecast in a simple and understandable form, suggests directions and methods for mitigation. For most business entities, quantitative risk assessment is the most acceptable and understandable, and therefore, in recent decades, the Value at Risk (VaR) methodology for assessing asset risk exposure has been used, aimed at assessing and minimizing possible asset value losses. The purpose of the study is to summarize theoretical approaches and best practices for applying the Value at Risk methodology to substantiate and assess financial risks. The object of the study is scientific approaches to the definition of VaR as a measure of risk; the subject of the study is economic relations and patterns that arise in the process of forecasting and minimizing the financial risks of economic entities. The methods of logical analysis, generalization, structuring, economic and mathematical methods were chosen as the main research methods. The empirical basis of the study was data from open information resources, analytical agencies, and statistical materials. The information base of the study is open sources, accumulating data on the quotation of shares of economic entities. The novelty of the study lies in the generalization of the possibilities of applying the VaR methodology for assessing the risks of assets of various business entities, determining the ways of interpreting this indicator depending on the approaches used to determine it. As conclusions and recommendations, the authors present directions for the practical application of the VaR methodology in the presence of various amounts of information and input data.
International Competitiveness Analysis of Turkish Pasta Industry in Framework of Some Indexes and Product Mapping: A Research on the years 2001-2020
Authors: İZGİ Fatma , KAVACIK Mustafa
Published: May 2023

In the globalizing world, international trade is reaching advanced dimensions every passing day. Exporting companies had to make a competition both in local and international markets. Therefore, countries should have competitiveness both in the domestic and global markets. Nowadays, Turkey is leading pasta producer and exporter. In this study, the situation of the pasta industry in the world and in Turkey and the developments in its foreign trade were examined. This study aims to determine and analyze the international competitiveness of Turkey's pasta industry. Accordingly, pasta export and import data from Turkey and the world between 2001-2020 were used to calculate international competitiveness indices. Within the scope analysis, Balassa's RCA index, Vollrath’s indices (RXA, RMP, RTA, RC), Revealed Symmetric Comparative Advantage Index (RSCA), Trade Balance Index (TBI) were used and The Product Mapping Method developed by Tri Widodo was applied. As a result of the calculation of all indices, it has been revealed that Turkey has a competitive advantage in the pasta industry and specializes in its export. Turkey has the position of a net exporter (Group A) with a comparative advantage in this industry.
Küresel Rekabet Gücü ve İhracat Performansı İlişkisi: OECD Ülkeleri Örneği
Authors: ÖZTÜRK Feride , KURT İpek
Published: May 2023

Bu çalışmanın amacı, OECD ülkeleri için 2006-2019 dönemi arasında küresel rekabet endeksi, temel gereklilikler endeksi, etkinliği artırıcılar endeksi, yenilik ve gelişmişlik endeksi ile ihracat performansı arasındaki ilişkiyi analiz etmektir. Analiz kapsamında yatay kesit bağımlılığı dikkate alan ve durağan olmama durumunda da etkin bir tahminci olan Genişletilmiş Ortalama Grup (AMG) tahmincisi kullanılarak heterojen panel veri analizi uygulanmıştır. AMG tahmincisinden elde edilen bulgulara göre, panelin genelinde küresel rekabet endeksi, temel gereklilikler endeksi, etkinliği artırıcılar endeksi, yenilik ve gelişmişlik endeksi ile ihracat performansı arasında pozitif ve istatiksel olarak anlamlı bir ilişki olduğu tespit edilmiştir.
Kapitalist Sistem İçerisinde Türkiye’nin Borç Refahı Deneyimi
Authors: KAYA Feyza , GÖKTEN Kerem
Published: May 2023

Kapitalizm, gelir dağılımda adaletsizliğe yol açan bir sistemdir. Çeşitli reformlar yapılsa da gelir dağılımda adalet sağlanamamıştır. Üretimi artırma ve iyileştirme sürecinde tarihsel ilerlemeyi temsil eden kapitalizm sıra bölüşüme geldiğinde işleyiş yasaları gereği aynı başarıyı ve motivasyonu gösterememektedir. Tarihsel süreç içerisinde kapitalizm emek kıtlığı sorunuyla karşı karşıya kalmış, bu sorunu aşma yolundaki girişimleri bu kez eksik tüketim engeline takılmıştır. Kapitalizm, ciddi darboğazlar yaşasa da ekonomik birimlerin sürekli tüketimini uyararak ayakta kalabilmiştir. Bireylerin sürekli tüketime yönelmesi borçlanma kavramının önemini arttırmıştır. Borçlanma, genellikle finansal piyasalar üzerinden gerçekleşir. Bu piyasada fon arz eden ekonomik birimlerden fon talep edenlere doğru parasal akış sağlanır. Böylece fon fazlası olan ekonomik birimler faiz geliri elde ederken fon ihtiyacı olanlar faiz gideri karşılığında tüketimini gerçekleştirebilir. Her gelir grubu için farklı nedenlerle başvurulan borç piyasasında tüketici kredilerinin ikameleri yer alır. Çalışmada kapitalist sistemin işleyişi içinde borçlanma sorunu ele alınacaktır. Daha sonra borç refahını türleri olarak ele alınan tüketici kredileri ikameleri Türkiye verileri ile analiz edilecektir. Böylece neoliberal kapitalizm içerisinde Türkiye’nin konumu geniş perspektiften gözler önüne serilmeye, kredi kanallarıyla elde edilen refahın işçi sınıfının gününü ve geleceğini ipotek altına aldığı gösterilmeye çalışılacaktır.
Luminescent Copper(I)-Complexes with an Anionic NHC obtained via a Coordination Polymer as Versatile Precursor
Authors: Schmeinck Philipp , Sretenovic Dragana , Guhl Jasper , Kühnemuth Ralf , Seidel Claus A. M. , Marian Christel M. , Suta Markus , Ganter Christian
Published: May 2023

The anionic diamido N-heterocyclic carbene 1 is used to prepare a series of linear as well as trigonal, heteroleptic CuI complexes with small molecular ligands such as pyridine derivatives or triphenylphosphine. A key role lies in the versatile precursor for these complexes, a moisture- and air-stable 1D coordination polymer [1·Cu]n composed of only the NHC ligand and CuI, such that the copper is linearly coordinated by the carbene carbon atom and one oxygen atom of the backbone of the carbene. This polymer can easily be cleaved into monomeric complexes by addition of the desired ligand to dispersions of the polymer in dichloromethane. In solution, the complexes are in equilibrium with this highly insoluble polymer and free ligand. Thus, analytical and spectroscopical experiments with the compounds are limited to their crystalline state, characterized by single crystal X-ray diffraction experiments. Some of the complexes exhibit visible luminescence in the solid state upon irradiation with ultraviolet light. The spectral features (emission wavelength, Stokes shift, width of the emission band, vibrational fine structure) significantly differ among the complexes. Quantum mechanical computations reveal a subtle interplay of several factors such as coordination number and charge transfer character of the emissive state.
Fundamental Insight into Humid CO2 Uptake in Direct Air Capture Nanocomposites Using Fluorescence and Portable NMR Relaxometry
Authors: Russell-Parks Glory , Leick Noemi , Marple Maxwell , Strange Nicholas , Trewyn Brian , Pang Simon , Braunecker Wade
Published: May 2023

Direct air capture (DAC) technology is being explored as a pathway for reducing greenhouse gas emissions through the efficient removal of CO2 from the atmosphere. However, there remains a knowledge gap regarding structure-property-performance factors that impact the behavior of these systems in diverse, real-world environments. In aminopolymer-based DAC systems, gas diffusion is tightly coupled with polymer mobility, which is in turn affected by a large matrix of variables, including interactions with the pore wall of the support, nanoconfinement, the presence of co-adsorbates (moisture), and electrostatic crosslinks that develop as a function of CO2 chemisorption. Higher throughput, benchtop techniques for studying and understanding mobility in these systems would lead to more rapid advances in the field. Here, we demonstrate the value of a fluorescence technique for monitoring polymer mobility within nanocomposite capture materials as a function of CO2 and water adsorption in a series of humidified polyethylenimine-Al2O3 composite materials. The approach allows us to correlate changes in mobility with CO2 adsorption kinetics as a function of relative humidity. We further couple this information with NMR relaxometry data attained using a portable single-sided magnetic resonance device, and we employ diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) to correlate the formation of different relative amounts of carbamates and carbonates with the environmental conditions. These results provide a blueprint for using benchtop techniques to promote fundamental understanding in DAC systems that can in turn enable more efficient operation in real-world conditions.
Structure-activity studies of 1,2,4-oxadiazoles for the inhibition of the NAD+ dependent lysine deacylase Sirtuin2
Authors: Colcerasa Arianna , Melesina Jelena , Moser Patrick , Vogelmann Anja , Friedrich Florian , Tzortzoglou Pavlos , Neuwirt Emilia , Sum Manuela , Zhang Lin , Ramos-Morales Elizabeth , Romier Christophe , Einsle Oliver , Metzger Eric , Schüle Roland , Gross Olaf , Sippl Wolfgang , Jung Manfred
Published: May 2023

The NAD+-dependent lysine deacylase Sirtuin2 (Sirt2) is involved in multiple pathological conditions, including cancer. Targeting Sirt2 has thus received an increased interest for therapeutic purpose, including the ortholog from Schistosoma mansoni (SmSirt2) for the potential treatment of the neglected tropical disease schistosomiasis. We previously identified a 1,2,4-oxadiazole-based scaffold from the screening of the “Kinetobox” library as inhibitor of both human Sirt2 and SmSirt2. Herein, we describe structure-activity studies on 1,2,4-oxadiazole based analogs, which are potent inhibitors of Sirt2 deacetylation and demyristoylation. Docking experiments proposed a substrate competitive and co-factor non-competitive binding mode of inhibition, which could be confirmed in vitro via binding assays and kinetic analysis. Optimized analogs reduced cell viability and inhibited prostate cancer cell migration, in correlation with Sirt2 deacetylase inhibition both in vitro and in cells.The NAD+-dependent lysine deacylase Sirtuin2 (Sirt2) is involved in multiple pathological conditions, including cancer. Targeting Sirt2 has thus received an increased interest for therapeutic purpose, including the ortholog from Schistosoma mansoni (SmSirt2) for the potential treatment of the neglected tropical disease schistosomiasis. We previously identified a 1,2,4-oxadiazole-based scaffold from the screening of the “Kinetobox” library as inhibitor of both human Sirt2 and SmSirt2. Herein, we describe structure-activity studies on 1,2,4-oxadiazole based analogs, which are potent inhibitors of Sirt2 deacetylation and demyristoylation. Docking experiments proposed a substrate competitive and co-factor non-competitive binding mode of inhibition, which could be confirmed in vitro via binding assays and kinetic analysis. Optimized analogs reduced cell viability and inhibited prostate cancer cell migration, in correlation with Sirt2 deacetylase inhibition both in vitro and in cells.
Informing methane emissions inventories using facility aerial measurements at midstream natural gas facilities
Authors: Brown Jenna , Rufael Tecle , Harrison Matthew , Roman-White Selina , Ross Gregory , George Fiji , Zimmerle Daniel
Published: May 2023

Increased interest in greenhouse gas (GHG) emissions, including recent legislative action and voluntary programs, has increased attention on quantifying, and ultimately reducing, methane emissions from the natural gas supply chain. While inventories used for public or corporate GHG policies have traditionally utilized bottom-up (BU) methods to estimate emissions, the validity of such inventories has been questioned. Therefore, there is attention on utilizing full-facility measurements using airborne, satellite or drone (top-down (TD)) techniques to inform, improve, or validate inventories. This study utilized full-facility estimates from two independent TD methods at 15 midstream natural gas facilities in the U.S.A., and were compared with a contemporaneous daily inventory assembled by the facility operator, employing comprehensive inventory methods. Estimates from the two TD methods statistically agreed in 2 of 28 paired measurements. Operator inventories, which included extensions to capture sources beyond regular inventory requirements and to integrate local measurements, estimated significantly lower emissions than the TD estimates for 40 of 43 paired comparisons. Significant disagreement is observed at most facilities, both between the two TD methods and between the TD estimates and operator inventory. These findings have two implications. Firstly, improving inventory estimates will require additional on-site or ground-based diagnostic screening and measurement of all sources. Secondly, the TD full-facility measurement methods need to undergo further testing, characterization, and potential improvement specifically tailored for complex midstream facilities.
Dewar Pyridines: Conformationally Programmable Piperidine Isosteres
Authors: Petrovcic Jan , Boyko D. Yaroslav , Shved Alexander S. , Lenardon Giovanni , Salome Christophe , Lefebvre Quentin , Fessard Thomas , Sarlah David
Published: May 2023

Bioisosteric replacement is an indispensable tool in the medicinal chemist’s arsenal to strike a fine balance in multiparameter optimization campaigns and to deliver the best molecules for further preclinical development. The piperidine heterocycle, a dominant fragment in drug discovery, is often targeted for such replacement in attempts to improve potency and ADME (absorption, distribution, metabolism, excretion) profile. In this manuscript we explore 4H-Dewar pyridines (4H-DP) as rigid programmable isosteres of equatorially and elusive axially substituted piperidines. These fragments are readily accessible via pyridine dearomatization without the need for expensive catalysts and reagents. A wide spectrum of available reactivities enables incorporation of 4H-DP in various structural contexts. Exit vector analysis (EVA) underscores topological similarity with the parent piperidine as well as complementarity with the previously reported bioisosteres.
Interplay of Local pH and Cation Hydrolysis During Electrochemical CO2 Reduction Visualized by In Operando Chemical Shift Resolved Magnetic Resonance Imaging
Authors: Schatz Michael , Kochs Johannes , Jovanovic Sven , Eichel Rüdiger-A. , Granwehr Josef
Published: May 2023

The Cu-catalyzed electrochemical CO2 reduction enables the conversion of greenhouse gas emissions to fuels or platform chemicals, with prospects of storing intermittent energy from renewable sources. While current research in tuning catalyst activity and product selectivity is often mired in finding electrode engineering solutions, the importance of electrolyte engineering is mostly overlooked. This study presents a method for measuring local pH profiles in electrode-proximity and correlating them to cation-induced buffering effects. Magnetic Resonance Imaging (MRI) techniques were applied to evaluate the local pH values using spatially resolved 13C resonances of the CO2/HCO3–/CO32– equilibrium. The buffering effect of cation hydrolysis is substantiated by local shifts of the 23Na resonance of Na+ in NaHCO3 electrolytes. Steeper local pH gradients, compared to experiments with KHCO3, account for increased selectivity for acetate formation from solution-based reaction. Proven itself capable of elucidating the effect of cations on local pH values, our presented method supports tailoring the electrode–electrolyte interface to selectively generate value-added products.
As reaberturas democráticas e as Leis de Acesso à Informação: Uma comparação entre as experiências mexicana e brasileira
Authors: Carvalho Lucas Vieira , Zufelato Camilo , Rios Carolina Barbosa
Published: May 2023

O tratamento do acesso à informação no México e no Brasil tem alguns pontos em comum, mas também algumas diferenças significativas. Por isso, este artigo visa a analisar a trajetória histórica e política de ambos os países latino-americanos, a fim de verificar como a temática do acesso à informação se desenvolveu e eventual influência desses elementos nas legislações promulgadas. Para atingir este objetivo geral, tem-se como objetivos específicos o percurso histórico de ambas as legislações, bem como uma comparação entre os principais pontos das leis de cada país. Para tanto, faz-se revisão bibliográfica, com seleção de material em português e espanhol. No âmbito mexicano, verifica-se a influência da eleição de Vicente Quesada, nos anos 2000 e a preocupação no combate à corrupção como elementos que propulsionaram as discussões sobre o acesso à informação e transparência; já no cenário brasileiro, analisa-se o significativo decurso de tempo havido entre a Constituição Federal de 1988 e a Lei de Acesso à Informação em 2011, bem como a influência de setores da sociedade civil na aprovação dessa última. Sedimentados os contextos históricos, faz-se uma análise comparatista amostral de eixos temáticos entre as Leis de Acesso à Informação, a fim de vislumbrar eventual influência do texto mexicano ao brasileiro, bem como o impacto dos percursos históricos nas previsões de transparência.
OPTIMALISASI METODE BLADE TURBIN ANGIN SUMBU HORIZONTAL
Authors: Rahman Fathur , Nurjannah Ika , Sari Handini Novita , Christian Alexander , Hidayat Muhammad Khoirul
Published: May 2023

The utilization of wind turbines is able to convert wind energy into electrical energy. It is recorded from the DG of NREEC source that Indonesia has a wind energy potential of 60.6 Giga Watt (GW) with a total renewable energy potential of 442GW. One of the most common types of wind turbines is the horizontal axis wind turbine. This study uses a literature study method that aims to compare and summarize data optimizing variations in the number of blades and wind speed on horizontal axis wind turbines from various sources. The results of the study are known that the pinwheel power generated by the rotation of the pinwheel blade produces energy that is converted into electrical energy. The wind speed and blade rotation yield are directly proportional to the energy produced. The greater the wind speed given to the turbine, the higher the rotation. Variations in the number of blades result in variations in rotational properties, since the effect of the ratio of tip speed is inversely proportional to wind speed. The performance of horizontal axis wind turbines can be optimized by applying blade design using chord and twist linearization methods. The greatest efficiency of the counter-rotational horizontal shaft wind turbine is achieved at a blade angle of 10° and a wind speed of 4.03m/s, resulting in a maximum efficiency of up to 71.8%, which is higher than the optimal single-rotor power coefficient of 59%. This means dual-rotor wind turbines are more efficient at converting energy than single-rotor wind turbines.
Trombocitopenia en el embarazo: una visión general sobre causas, implicaciones y manejo de la paciente
Authors: López-Ceballos Anna Guadalupe , Quiñonez-Bastidas Geovanna Nallely , Guerrero-Valdez Misael , Gómez-Villaseñor Cristina , Morgan-Ruiz Fred Valentín , Montoya-Moreno Marisol , Moreno-Zazueta José Natividad , González-Mercado Anahí
Published: May 2023

Se define como trombocitopenia al descenso del recuento plaquetario en sangre, hallándose debajo de 150,000 por μL, originándose principalmente por causas inmunológicas o infecciosas. Sin embargo, también puede asociarse con el embarazo. Existen diferentes espectros de trombocitopenia, destacando la gestacional, que es responsable de hasta un 80% de los casos presentes en embarazadas, siendo detonantes en esta etapa también los trastornos hipertensivos del embarazo, síndrome de HELLP e hígado graso agudo del embarazo. Por otro lado, la trombocitopenia independiente al embarazo acapara hasta en un 20% de los casos, resaltando que, a pesar de no tener relación con el estado gestante, cualquiera de las patologías correspondientes a esta clasificación puede ser detonadas o exacerbadas durante el embarazo. Un diagnóstico diferencial y personalizado resulta indispensable para un adecuado tratamiento, así como para una oportuna elección de la vía de nacimiento y manejo tanto de la paciente como del neonato. Palabras clave: Trombocitopenia, embarazo, causas, mecanismo molecular, tratamiento.
Análisis de Alerta Temprana de la extinción de aves, usando Modelos de Machine Learning
Authors: Jácome-Paneluisa Hernan , Gómez-Torres Estevan Ricardo , Solís Acosta Edgar Fernando , Valdivieso López Wellington Ernesto , Baldeón Omar
Published: May 2023

This work presents a model to realize early warning of the extinction of birds in Pichincha, considering critical factors as a climatic environmental intervention human and contamination by public and private organisms, opting for wildlife conservation plans. We have achieved a significant improvement in the methodology of trends and patterns of bird extinction with respect to manual projection processes. By using Machine Learning techniques, it is possible to obtain predictive results for early decision making. It describes the theoretical foundation used and the CRISP-DM methodology that was applied; analyze the data base to optimize the data base gradually and finally determine the model more optimally to carry out the prediction of the extinction of birds, validating the predictive model based on the red list of species of endangered birds of Ecuador emitted by the ministry of the environment; we present several conclusions.
Game-based learning - Teaching Artificial Intelligence to play Minecraft: a systematic literature review
Authors: Smit Reinhardt , Smuts Hanlie
Published: May 2023

Artificial Intelligence (AI) are machines designed to think and behave as humans would. Taking AI and placing it into a virtual world they become known as AI agents which uses the knowledge it gained from training to perform tasks in the world. AI agents in the virtual world has only been able to perform a narrow set of tasks with specialised models in environments with limited complexity and diversity. A rich world that requires an agent to continuously learn from and adapt to a wide variety of open-ended tasks and use previously gained knowledge to determine the next course of action will render the agent incapable. In order to investigate the AI teaching methods applied to instruct the agent to perform basic tasks in Minecraft in order to identify which AI teaching methods will yield the best results, a systematic literature review was conducted by extracting 57 papers and identifying themes and sub-themes that suited AI agent training methods and functions. This was to discover wat AI training methods can be implemented to enable an agent to perform tasks in a complex and rich world, contributing to game-based learning. The study found that a well-integrated Reinforcement Learning (RL) method with an effective reward system equipped the agent with the necessary knowledge to be able to perform tasks on a more complex level. A list of unique methods was integrated with RL such as Newtonian Action Advice (NAA), Behavioural Cloning (BC), VideoPreTraining (VPT), human demonstrations, and natural language commands to achieve a certain goal. This meant that AI agents can be taught to perform open ended tasks in a complex environment by setting up a well thought out framework on how to teach the agent in various areas leading to the possibility to incorporate those teachings into the real world through game- based learning.
Managing the work-life balance when working from home: the experience of Flemish parents
Authors: Van Belle Jean-Paul , Mthwazi Guidance , Ablay Minerva , Cheng Michelle , Cottriau Sarah , Couckhuyt Nerine , Termont Gilles , Claes Jan
Published: May 2023

The COVID-19 pandemic forced many people to work from home. Even after pandemic restrictions have been lifted, many parents continue to work from home. This poses several challenges and has led to a number of issues related to sharing rooms and equipment, dealing with distractions, and dealing with feelings. This paper examines the issues that arose for parents working from home in Flanders within these three categories, and recommends potential solutions. Data were collected through a survey. The target population of the survey was a group of Flemish parents with children under the age of 18 and working from home during the lockdown. The main findings of the research are summarized as follows. Most respondents did not have a separate workspace at home. This means that parents experienced different distractions at home than while working from the office. Children were the number one distraction for parents working from home. The care of children and the lack of work-life balance were also the main sources of conflict. However, the feelings when working from home are not only negative. Parents felt frustration and powerlessness, as well as motivation and happiness. Based on the analysis of the responses, recommendations are formulated from parents to parents on how to organise working from home with children.
Emotionally driven fake news in South Africa
Authors: Gagiano Marc , Marivate Vukosi
Published: May 2023

To build a more inclusive society that better integrates cyberspace and physical space, we must understand the appeal behind misinformation. Misformation focuses on maintain- ing an exclusive society rather than integrating society. One of the challenges following the era of information explosion is the rapid spread of misinformation in the form of fake news. People’s choices based on misinformation can have dire consequences, especially in smaller developing communities. Therefore, this paper focuses on the emotional tone of fake news in South Africa to better understand its appeal. Introducing an expected emotional score shows that fake news articles contain more overall emotions than non-fake news. Fake news articles are also written with different biases in mind. These biases were detected and separated using clustering algorithms. Introducing a transformer model allowed us to further classify different biases by creating a profile of the emotions each bias contains. It is found that fake news in South Africa contains a roller-coaster of strong emotive words combining feelings of anger, joy, sadness and fear. The ratio of how these words are com- bined depends on a particular bias. These findings can help build better detectors of fake news in the future and create a feedback loop to help write more captivating news articles to foster a more inclusive society.
Context-Aware Mobile Apps: Identifying Tools for Creation Approaches
Authors: Gomez-Torres Estevan Ricardo
Published: May 2023

When developing context-sensitive mobile applications there are several considerations that must be considered such as: being able to express the relevant concepts and subsequently generate the required applications. In this area it is worth mentioning that the technology used must allow expressiveness related to factors such as category, relevance, combination, type of configuration and type of execution and generate a context-sensitive mobile application, framed within the characteristics that are currently in demand and using the most appropriate tools for it. This paper analyzes the particularities of developing a context-sensitive mobile application through a Metamodel creation process, then the generation of a Visual D.S.L with Obeo Sirius, its treatment with Xtext, the generation of a mobile application with Acceleo and finally the definition of the graphical user interface GUI with the help of Ionic and Capacitor, which will allow to exploit the functionalities of the mobile. That is to say, the process to establish the appropriate tools for the creation of context-sensitive mobile applications is shown
PlayWithUnicam: An extensible platform for serious games
Authors: Catervi Tommaso , Cipolletta Leonardo , Corradini Flavio , Re Barbara , Rondini Matteo , Rossi Lorenzo
Published: May 2023

Nowadays, teaching methodologies have been fostered by the integration with game- based approaches leading to the birth of the so-called serious games, i.e. games that do not have entertainment as their main purpose but are designed primarily for educational purposes. Although they have always been the subject of debate and criticism, serious games leverage game-based learning for playing an important role in education, showing that they are not just a form of entertainment, but are effective vehicles for dissemination and sharing of knowledge. The effectiveness of serious games is proved by the wide list of software providing this kind of solution. However, it is difficult to find tools that offer at the same time a good level of content customization and the possibility of multiplayer to ensure a more engaging, stimulating, and competitive teaching experience. Nevertheless, almost all these tools are fee-based. With the aim of filling this gap, this paper presents an open-source and free-to-use platform for serious games that is extensible both in the number of games and in the games’ content. More in detail, we propose a platform hosting a catalog, expandable over time, of multiplayer serious games that can be easily tailored to different learning topics, e.g., math, history, and informatics, depending on the teachers’ needs. The platform is meant to be easily extensible and scalable by means of reusable components and features. In addition, the developed application was validated in a series of events, together with students, to check the effectiveness of game-based learning and the general usability of the tool.
A First Step Towards a “Smart City Brain” for Sustainable Development - Turning Experiences of Two Cities into Replicable Processes
Authors: Kierans Gordana , Jüngling Stephan , Schütz Daniel
Published: May 2023

In this paper, we compare two projects from the cities of Basel and Shenzhen, which are transforming – or in the case of Shenzhen already has – their public transportation from fossil-fuelled to electric vehicles (EVs) only. In so doing, we derive two different processes that could be reused as templates for many other cities in both Switzerland, China or elsewhere. Moreover, to address the far-end goal of actually reaching Sustainable Development Goals (SDGs) within cities, we propose the vision of a sharable platform as a Smart City Brain for Sustainable Development that will allow the collection of data from individual projects, share them within a community and create re-usable visualisations of important KPIs and other indicators. We also extend the existing concept of technological connectivity to include product material data as well in order to support circularity.
Şehir Marka Kişiliği ve Şehir İmajının Algılanan Hizmet Kalitesine Etkisi: Müze Örneği
Authors: İÇİL Halime Büşra , CELEP Emel
Published: May 2023

Pazarlama aktivitelerinin son yıllarda yalnızca işletmeler tarafından üretilen ve sunulan mal ve hizmetler düzeyinde gerçekleştirilmekle sınırlı kalmayıp, daha kapsamlı olarak şehirler ya da ülkeler gibi farklı ve geniş perspektifte ele alınması, pazarlama çatısı altında yer alan birçok kavramın da bu ve benzer alanlara uyarlanmasının önünü açmaktadır. Bu kavramlardan birisi de sayılan unsurlarla ilgili pazarlama iletişimi faaliyetlerinde oldukça etkili bir güç konumunda olan marka yönetimi konusudur. Bir şehrin tanıtımının yapılması, sahip olduğu imaj, ekonomik ve kültürel aktivitelere ev sahipliği yapması da söz konusu şehrin sahip olduğu farklı özellikler ve değerlerle ön plana çıkması ve buna bağlı olarak şehirlerin kalkınması için katma değer sağlayacak geri dönüşlerin olması için kullanılabilmektedir. Bu noktada, şehir marka kişiliği ve şehir imajı, yerleşimcilerin şehre ait belli bir algı geliştirmesine olanak tanımakla birlikte bu algılar olumlu, olumsuz veya nötr şekilde olabilmektedir. Çalışmanın gerçekleştirildiği şehrin yerleşimcilerinin söz konusu şehre ait algılarını ölçmek amacıyla yapılan bu araştırmada, şehir marka kişiliği ve şehir imajının algılanan hizmet kalitesine etkisi müze hizmet kalitesi bağlamında ölçümlenmiştir. Şehir marka kişiliği ve şehir imajının algılanan hizmet kalitesine etkisinin ölçülmesi amacıyla veri toplama aracı olarak anket uygulaması kullanılmıştır. Çalışma kapsamında hazırlanan veri toplama aracı, Konya ilinde ikamet eden 388 kişiye 2021 yılı Haziran-Temmuz ayları arasında kolayda örnekleme yöntemi kullanılarak çevrimiçi (online) olarak uygulanmıştır. Araştırma sonucunda şehir marka kişiliği ve şehir imajının algılanan hizmet kalitesine olumlu ve anlamlı bir etkisi olduğu sonucuna ulaşılmıştır.
DP-FEDAW: FEDERATED LEARNING WITH DIFFERENTIAL PRIVACY IN NON-IID DATA
Authors: Tan Qingjie , Wang Bin , Yu Hongfeng , Wu Shuhui , Qian Yaguan , Tao Yuanhong
Published: May 2023

Federated learning can effectively utilize data from various users to coordinately train machine learning models while ensuring that data does not leave the user's device. However, it also faces the challenge of slow global model convergence and even the leakage of model parameters under heterogeneous data. To address this issue, this paper proposes a federated weighted average with differential privacy (DP-FedAW) algorithm, which studies the security and convergence issues of federated learning for Non-independent identically distributed (Non-IID) data. Firstly, the DP-FedAW algorithm quantifies the degree of Non-IID for different user datasets and further adjusts the aggregation weights of each user, effectively alleviating the model convergence problem caused by differences in Non-IID data during the training process. Secondly, a federated weighted average algorithm for privacy protection is designed to ensure that the model parameters meet differential privacy requirements. In theory, this algorithm effectively provides privacy and security during the training process while accelerating the convergence of the model. Experiments have shown that compared to the federated average algorithm, this algorithm can converge faster. In addition, with the increase of the privacy budget, the model's accuracy gradually tends to be without noise while ensuring model security. This study provides an important reference for ensuring model parameter security and improving the algorithm convergence rate of federated learning towards the Non-IID data.
The Role of the Etnography Museum of Ankara in the Construction of Nationa Identity and the Museum’s Director Dr. Hâmit Zübeyr (Koşay)(1897-1984)
Authors: Kılınç Arzu
Published: May 2023

Bu çalışmada Türkiye’de devlet eliyle açılan ilk müze olan Ankara Etnoğrafya Müzesi, çeşitli yönleriyle incelenmiştir. Burası Anadolu’nun Türk-İslam dönemine ait kültür ve sanat eserlerinin sergilenmesi amacı ile kurulmuştur. Ulusçuluğa
yönelik reformlarla yakından ilişkilidir. Cumhurbaşkanı Gazi Mustafa Kemal Atatürk, Türkiye’ye ilk resmi ziyareti yapan Afganistan’ın devlet başkanı, Amanullah Han’ı bu müzede ağırlamıştır (1928). Binanın projesi, Birinci Ulusal
Mimari Akımı’nın temsilcilerinden biri olan Arif Hikmet’e (Koyunoğlu) (1893-1982) aittir. 1938’de Atatürk’ün vefatından sonra, naaşının muhafaza edildiği mekân olması, buraya ayrı bir anlam yüklemiştir. Meşrutiyet (1908) sonrasında
ulusçuluk akımının güçlenmesi, etnoğrafya, etnoloji ve antropoloji gibi sosyal bilimlerin önemini arttırmıştı. Bu süreçte, etnoğrafya ile ilgili makaleler dergilerde yayımlandı ve Mekteb-i Mülkiye’de bir ders olarak okutulmaya
başlandı. Cumhuriyet Türkiye’sinin kültür politikası belirlenirken, bunu yönlendirecek kültürel kurumlar da açıldı. Bunlardan biri olan Ankara Etnoğrafya Müzesi’nin kurulmasında, sosyolog ve siyasetçi Ziya Gökalp (1876-1924) ile
İstanbul Darülfünunu’nda, etnoğrafya ve Macarca dersleri veren Macar Türkolog, Gyúla Mészáros’un da payı vardı. Müzenin ilk müdürü, aslen Rusya Türklerinden olan bilim insanı, Dr. Hâmit Zübeyr (Koşay) (1897, Ufa-1984, Ankara) idi.
Türkiye’deki eğitiminden sonra, Macaristan’da Türkoloji ve dil bilim alanında doktora yapmıştı. Ulus kimliğinin oluşturulma sürecinde, müzecilik, kütüphanecilik, arkeoloji, filoloji, etnoğrafya ve folklor sahalarındaki bilimsel
çalışmaları ile tanındı. Mustafa Kemal Atatürk’ün değer verdiği bilginlerden biriydi ve bazı kültürel inkılapların hayata geçirilmesinde etkisi oldu. Bu makalenin amacı, Türk ulusal kimliğinin kuruluşunda Ankara Etnoğrafya Müzesi’nin
önemini ortaya koymak ve Dr. Hâmit Zübeyr’in oynamış olduğu rolü analiz etmektir.