bluuebunny/crossref_metadata_2025 huggingface dataset:
INDICATION OF THE CONDITION OF VEGETATION IN MAGNITOGORSK FOR ASSESSING THE QUALITY OF ATMOSPHERIC AIR AND IMPROVING ITS MONITORING SYSTEM
Authors:   UralNII Ecology, Oputina Irina P. ,   Perm State University, Shklyaev Vladimir A. ,   UralNII Ecology,   Perm State University, Kostyleva Natalya V. ,   UralNII Ecology,   Perm State University
Published: October 2024

In 2016, specialists from the research institute UralNII Ecology conducted a scientific experiment in Magnitogorsk to assess the impact of atmospheric air pollution on vegetation in different parts of the city. The purpose of the study was to assess the condition of vegetation in different areas by measuring chlorophyll fluorescence and carotenoid content in ash maple leaves in order to develop proposals for modernizing the atmospheric air monitoring system in Magnitogorsk. Based on the modeling of pollutant dispersion in the atmospheric air, 13 points were identified in the territory of Magnitogorsk, where experimental samples of ash-leaved maple were collected for further research in the laboratory (five points directly bordering the main site of the city-forming enterprise and the territories of its large subsidiaries; five points located in the residential area in the left-bank industrial hub; two points located in the residential area in the right-bank part of the city; one point in the residential area of the city, most remote from the city-forming enterprise and characterizing the ‘background’ value of atmospheric air pollution). During the research, the relative index of delayed chlorophyll fluorescence (DCF) and the content of photosynthetic pigments (carotenoids) were determined in the leaves of the ash-leaved maple. As a result of the studies, the areas of the city of Magnitogorsk were identified whereatmospheric air pollution had the greatest and the least impact on vegetation. The purpose of the study was achieved. Theresults of the studies were subsequently used in the development of proposals for the modernization of the atmosphericair monitoring system in Magnitogorsk. It is concluded that it is possible to use the results of the study of vegetation, namely the DCF values and the content of carotenoids, as an indirect method for assessing the effectiveness of the existing network of POPs.
ASSESSMENT OF CLIMATIC FACTORS OF FOREST FIRE HAZARD RISKS FOR STUDY AREAS IN THE VORONEZH AND KALUGA REGIONS IN THE 2022 FIRE SEASON
Authors:   Voronezh State University of Forestry and Technologies named after G.F. Morozov, Podrezova Yuliia A.
Published: October 2024

Forest fires are considered to be an element of the global development of the biosphere, a factor that should be taken into account when analyzing climate change and choosing actions to mitigate its negative consequences. The paper provides an assessment of climate-associated fire hazard risks in the 2022 season for the study areas located in the Voronezh and Kaluga regions. The source material for the study were average daily and specific-term observations of the Voronezh and Sukhinichi weather stations, representative for these areas, for the fire season from April to October 2022 as well as their long-term average monthly data obtained for the 56-year period 1966–2021. The methodological approach is based on calculations of the values of monthly normalized anomalies for five factors (air temperature, amount of precipitation, relative air humidity, wind speed, and the number of thunderstorms) and their subsequent comparative climatic analysis with the data from 2022. The results of the analysis made it possible to provide a clear quantitative description of the structure of the climate-associated fire hazard risks development for each month of the 2022 season according to these meteorological parameters relative to long-term climatic conditions. An additionaltransition from normalized anomalies to a score-based risk assessment provided the possibility to obtain approximate integral estimates of climate-associated risks for a complex of all the five factors simultaneously, for each month and the entire fire season for both study areas. The findings presented in the article are likely to be of interest to specialists in forestry, applied climatology, students majoring in disciplines related to the study of forests, forestry, and forest industry, and may also benefit a wide range of specialists in geographical, biological, ecological, and environmental fields.
THE FEATURES OF A GLACIAL LAKE OUTBURST MODELING: A CASE STUDY OF VARSHEZKUL LOWER (TAJIKISTAN)
Authors:   Lomonosov Moscow State University, Iudina Viktoriia A. , Chernomorets Sergey S. ,   Lomonosov Moscow State University, Savernyuk Elena A. ,   Lomonosov Moscow State University, Krylenko Ivan V. ,   Lomonosov Moscow State University, Kidyaeva Vera M. ,   Lomonosov Moscow State University
Published: October 2024

The study deals with the modeling of a possible outburst flood with the example of glacial lake Varshezkul Lower located in the Western Pamirs. From the formation of the lake in 1968 and until 2022, the lake increased by 8.3 times, its active growth was observed until 2000. According to the survey of the valley in 2018, the volume of the lake was 1.94 million m3. To estimate the maximum flood discharge, the FLOVI program was used, which includes model equations of a lake outburst through an intraglacial tunnel developed by Yu.B. Vinogradov. The simulation showed the initial water temperature in the lake to be the most sensitive parameter of the model. The maximum discharge of an outburst flood at a water temperature of 4 °C will be 2.8 times higher than for 0 °C and will amount to 400 m3/s. In the range from 0 to 4 °C, the outburst flood discharge will increase by approximately 30% 1°C. The results of processing the ERA5 reanalysis (ECMWF Re-Analysis 5) were presented in the form of graphs of the surface layer temperature, bottom and general temperature in the period from June to October for 2018-2022. An almost complete coincidence of values was observed, and the temperature on the dates of the freeze-up on the lake was significantly overestimated. This may be due to a low resolution of the data (30 km) and a small area of the lake. Also, the simulation results were compared with estimates of the maximum outburst flood discharge from empirical dependences. The difference in the flow discharges determined by various formulas was about 95%.
LEVELS OF DEPOSITION, RECHARGE CONDITIONS AND HYDROCHEMISTRY OF AQUIFERS OF THE OB-IRTYSH INTERFLUVE (A CASE STUDY OF THE STEPPE PART OF THE ALTAI TERRITORY)
Authors:   Institute for Water and Environmental Problems, Siberian Branch of the RAS, Orlova Elena S. , Zanosova Valentina I. ,   Altai Regional Branch of the Russian Geographical Society, Rybkina Irina D. ,   Institute for Water and Environmental Problems, Siberian Branch of the RAS
Published: October 2024

Information about the groundwater of the drainless region of the Ob-Irtysh interfluve within the boundaries of the Altai Territory has been collected and summarized. The paper describes in detail ground waters of this area, which are currently gaining increasing importance in the water supply of rural settlements. The study used literary, stock, cartographic sources of information, and the results of expedition research. In Soviet times, large-scale works were performed for the steppe part of the region to search for and explore underground waters for the purposes of national economic consumption and irrigation, and monitoring was carried out. The Kulundinsky lowland and part of the Priobsky plateau are located in the drainless region. Groundwater has a diverse chemical composition which depends on the depth of the horizon, the lithological composition of the rocks, and other local features. Groundwater is replenished due to winter precipitation: in the warm period, precipitation is rare and almost all evaporate. During the year, the fluctuation of the groundwater level is one to two meters, for a long-term period – from two to three meters, depending on the natural features of the territory. Based on the studied data, a map-diagram of the depth of groundwater occurrence within the boundaries of landscape zoning areas has been compiled.
DETECTION OF THE CHANGE POINT IN ICE FORMATION DATES
Authors:   Perm State University, Kalinin Vitaliy G. , Mikova Ksenia D. ,   Perm State University, Chichagov Vladimir V. ,   Perm State University
Published: October 2024

In recent years, there has been an increasing interest in studies related to the impact of climatic changes on the ice regime of water bodies. This paper aims to detect the change point in the ice formation dates for Kamskoe Reservoir. This is done with the use of an improved methodological approach. The results revealed that the greatest deviations are observed when comparing time intervals after 1995. The last decade of the observation period (2008–2018) was characterized by significant changes in late dates. According to the Data Series Smoothing method, the change point for the observation series falls on 1996. Differential Integral Curves of the ice dates show that the beginning of the significant climatic changes is noted in 1995–1997. The rejection of the randomness hypothesis indicates the presence of significant changes in the ice dates for 1956–2018 for all gauges, except Berezniki. The deviation of the homogeneity hypothesis for the ice dates in 1956–1995 and 1996–2018 shows the presence of statistically significant changes at the turn of 1996. Thus, the impact of modern climatic changes on the ice dates has been observed over the last 25 years, with the change point falling on 1996.
MORPHOMETRIC PARAMETERS ESTIMATION FOR BOG DEPRESSION LAKES IN THE NORTH OF THE PERM KAMA REGION
Authors:   Perm State University, Sannikov Pavel Yu. , Kopytov Sergey V. ,   Perm State University, Igosheva Ekaterina A. ,   Perm State University, Mekhonoshina Elizaveta A. ,   Perm State University, Novikova Ekaterina A. ,   Perm State University, Pekhtereva Maria K. ,   Perm State University, Solovyova Elizaveta E. ,   Perm State University, Samarkina Alexandra A. ,   Perm State University
Published: October 2024

The lakes of bog depressions in the north of the Perm Kama region are relatively inaccessible and insufficientlystudied. The interest in studying these lakes is due to the relict character of their formation in the bowls of glacial lakes as well as themodern climatic instability. On the basis of direct field studies (bathymetric surveys in 2021 and 2023) and remote sensing data processing, we studied 12 lakes of bog depressions. This paper is the first to provide a calculation of a set of morphometric data of thewater bodies: length, maximum and average width, area, extent, shoreline sinuosity coefficient and others. For lakes Adovo,Chelvinskoye and Nyukhti, the maximum and average depths and the total volume of the water body were also determined. It is notedthat the pronounced climatic features of 2023 (hot and dry year) could lead to a noticeable decrease in water level, especially in LakeNyukhti. In this case, the obtained values of the water body depths and volume are reduced relative to the norm. It was also found thatin the data of the State Water Register, used as reference, the water area for Lake Bolshoi Kumikush is significantly underestimated(by 3.2%), while for lakes Chusovskoye and Tundra – significantly overestimated (by 22.2% and 34.2%, respectively). The study hasestablished the place of the water bodies in question in the rows of lake classification by area, depths, elongation index, and the shorelinesinuosity.
THE USE OF NATURAL RESOURCE POTENTIAL AND THE INTERREGIONAL ASYMMETRY OF SUSTAINABLE DEVELOPMENT IN THE STEPPE ZONE REGIONS OF RUSSIA
Authors:   Institute of Steppe Ural Branch of the Russian Academy of Sciences, Chibilyov (Jr.) Alexander A. , Lebedeva Tatyana V. ,   Institute of Steppe Ural Branch of the Russian Academy of Sciences,   Orenburg State University
Published: October 2024

Natural climatic conditions and natural resource potential are the key factors that determine the development sustainability ofthe steppe zone regions of Russia. The use of natural resource potential is a determinant in the interregional asymmetry of the socio-economic development of steppe regions. In today’s context, regional imbalances are becoming a national security problem, going beyond exclusively socialand economic issues and forming complex risks, challenges, and threats.The purpose of the study is to assess the impact of natural resource potential on the formation of interregional asymmetry of sustainabledevelopment of Russia’s steppe regions. The authors have compiled a database of indicators characterizing the state of natural resource potential(NRP) for 18 regions of the steppe zone. A rating assessment of the steppe zone regions by groups of indicators reflecting the use of NRP wascarried out based on the authors' methodology. The authors constructed a cartographic diagram of the results of rating assessment of the regions bygroups of NRP indicators and cluster analysis of the ratings of indicators characterizing NRP and the sustainable development goals (SDG). Therelationship between ratings of the NRP use and SDG indicators based on the calculated Spearman’s rank correlation coefficients was estimated.There is a negative trend in the dynamics of indicators of the forest resources state in the regions of the Russian steppe zone, and also areduction in the area of agricultural land (by 4% in the regions, on average).The study revealed that the ratings of the use of natural resource potential are interrelated: for the ‘water resources’ group of indicators, adirect connection was revealed with the ratings of the ‘mineral resources’ and ‘land resources’ groups of indicators. The ratings of six blocks ofsustainable development goals have a close direct connection with the rating of the use of mineral resources; more than half of the ratings of theblocks of sustainable development goals are connected with the rating of the use of water resources.
SPATIAL FACTOR IN THE DISTRIBUTION OF CONFLICTOGENICITY IN THE POSTSOVIET SPACE (1992-2022)
Authors:   Moscow State Institute of International Relations (MGIMO-University), Okunev Igor Y. , Lyubimova Anastasia D. ,   Moscow State Institute of International Relations (MGIMO-University), Iakusheva Ekaterina A. ,   Moscow State Institute of International Relations (MGIMO-University)
Published: October 2024

Given that socio-political processes develop not only in time but also in space, their relative spatial configuration caninfluence their genesis and further evolution, which is manifested in the existence of neighborhood effect. Similar values of a phenomenon are clustered: the characteristics of the phenomenon in one location are determined not only by the qualities of this location itself but also by the characteristics of the same phenomenon in neighboring locations. The purpose of this study is to determine whetherneighborhood effect has influenced the spread of conflictogenicity in the post-Soviet space in 1992–2022 or, in other words, whetherconflictogenicity and its changes in this macroregion are clustered phenomena. The authors of this research define conflictogenicity asa cumulative indicator equal to the sum of conflictness scores of a unit of analysis (first-order administrative units of the former USSRrepublics) assigned to this unit from 1992 to 2022 by the Conflict Barometer project implemented by Heidelberg Institute for International Conflict Research. Conflictogenicity changes are defined as the difference between conflictogenicity scores assigned to administrative units in 1992–1999 and in 2000–2022. To achieve the purpose of the research, the authors use global and local Moran’s indicesof spatial and differential spatio-temporal autocorrelation. The results of the study demonstrate that during the given period in the postSoviet space both conflictogenicity and conflictogenicity changes are relatively clustered phenomena. The most robust autocorrelationrelationships are registered for administrative units with the highest conflict rates and regions where conflictogenicity changes turnedout to be very significant. Moreover, these two groups of territorial units are almost identical to each other: the greatest conflictogenicitychanges have been noted in local clusters with high conflictogenicity levels. Thus, during the post-bipolar period spatial patterns havebeen visible in the post-Soviet space both in the distribution and in the evolution of conflicts.
MARKETING STRATEGIES FOR PROMOTING GLOBAL AND REGIONAL MEDICAL TOURISM MARKETS
Authors:   Institute of Earth Sciences, St. Petersburg State University, Grudtsyn Nikolai A. , Chistobaev Anatoly I. ,   Institute of Earth Sciences, St. Petersburg State University
Published: October 2024

The article covers current issues of interdisciplinary research in the field of marketing strategies development for advancingmedical tourism – a growing trend in health preservation systems at the global and regional levels. It is demonstrated that with acomprehensive approach to researching the marketing of medical tourism, it becomes possible to establish the demand and supply withregard to medical, wellness, cultural-educational, and recreational facilities, as well as the functionally associated elements of infrastructure. The object of marketing research in medical tourism is defined as a set of evaluative characteristics of the internal and externalenvironments of medical institutions, medical tourists’ requests, market parameters, competitors and contractors, equipment and goodssuppliers, and intermediaries. The subject of such research should be seen in the interrelations between marketing and tourism, tourismand medicine, and marketing and medicine. Medical tourism marketing is defined as the systematic and coordinated use of methodsand tools aimed at attracting clients from other countries and regions by promoting unique medical services and attractive touristpackages. The article proposes methods (SWOT analysis, Porter's Five Forces, Ansoff Matrix, etc.) and a set of tools (customer incentives, information provision, verified assessment system, partnership, internet network, real-time communication, etc.) to be used formarketing research in medical tourism. The levels of Internet usage by country and the impact of this trend on the digitalisation ofmedical tourism marketing are demonstrated. One of the marketing strategy tools – mobile applications – is characterised when appliedto the conditions of some foreign countries and Russia. Map charts of Russia provided reflect the geographical (region-wise) featuresof obtaining state and municipal services, which can be productively used in marketing strategies for medical tourism.
The Effects of Scarcity Messages on Travel Product Purchase Intentions in High and Low Need for Cognition Groups: Focusing on Time-Limited and Person-Limited Price Discounts
Authors:   The Tourism Sciences Society Of Korea, Cha Jae-Bin , Jo Mi-Na
Published: October 2024

This study aimed to examine how scarcity messages influence travel product purchase intentions and how the impacts were moderated by consumers' high or low need for cognition. The two types of scarcity messages were presented, one with time-limited price discounts and the other with limited-person price discounts. The results of the experiment were as follows. First, the low need for cognition group showed higher purchase intentions when the time-limited scarcity message featured a longer time limit, whereas the high need for cognition group showed higher purchase intentions when the time-limited scarcity message suggested a shorter time limit. Second, the group with a low need for cognition showed higher purchase intentions when limited-person scarcity messages featured a small number of eligible people, whereas the group with a high need for cognition showed higher purchase intentions when limited-person messages suggested a large number of eligible people. Third, the purchase intentions of the low need for cognition group were higher when limited-person scarcity messages were present than limited-time scarcity messages, whereas the high need for cognition group was more reactive to limited-time scarcity messages than limited-person scarcity messages. Furthermore, the interaction effect between the need for cognition and scarcity messages was significant. These experimental results may provide strategic implications for sales promotion activities, specifically in regard to the types of scarcity messages that travel and tourism service companies should utilize to strengthen purchase intentions.
Strategies to Revitalize Local Tourism by Utilizing K-Contents: Focusing on the Case of Chuncheon
Authors:   The Tourism Sciences Society Of Korea, Lee Sang-Tak , Kim Do-Hee
Published: October 2024

By focusing on the case of Chuncheon, this study explores the local governments' strategies to revitalize local tourism by utilizing K-contents. The study examines Chuncheon’s geographical characteristics, natural resources, cultural resources, and industrial assets within the broader context of K-contents which also includes local content. In-depth interviews with experts and focus group interviews with consumers were conducted. The analysis utilized the 'Local Content-Based Tourism Industry Competitiveness Evaluation Model' which focuses on four key elements: cultural tourism content resources, K-content-based tourism market, strategy and business implementation system, and supporting environment (i.e., infrastructure). The results revealed that while Chuncheon possesses diverse natural and cultural resources, there is a need for improvement in linking and utilizing these assets. The study highlights the necessity of developing and promoting contents that align with current tourism trends and the preferences of the MZ generation. Additionally, it calls for an enhancement of infrastructure, such as accommodation and transportation, to better connect major tourist spots within the city. To foster the cultural and tourism content industry, the study also emphasizes the urgent need to establish governance to systematically support development efforts. The research proposes a five-theme strategy to revitalize tourism in Chuncheon: regional characteristics, culture and festivals, filming location spots, leisure sports, and food. This approach provides practical implications by offering a comprehensive perspective on the current situation, challenges, and revitalization measures for Chuncheon tourism.
Effect of Ultrasound and Osmotic Dehydration as Pretreatments on the Infrared Drying of Banana Slices
Authors: Abrahão Fernanda Rezende , Corrêa Jefferson Luiz Gomes , Sousa Arlley de Brito Magalhães , Silveira Paula Giarolla , Nepomuceno da Cunha Renata
Published: October 2024

Research background. There is a growing interest in foods with added nutritional value and extended shelf life. This study investigates the use of infrared technology in the drying of banana slices to improve their stability and quality by minimizing moisture content and water activity.
Experimental approach. The drying experiments were carried out at a temperature of 70 °C, using the following pretreatments: ultrasound-assisted (UA) immersion in water for 20 and 30 min, osmotic dehydration (OD) and ultrasound-assisted osmotic dehydration (UAOD) for 20, 30 and 40 min. The osmotic process consisted of immersing the samples in the isomaltulose solution (40.0 g/100 g deionized water) for 60 min.
Results and conclusions. All mathematical models used to describe the drying process showed a good fit with high R² values (>0.98) and low value of the relative mean error E (%), the sum of squared error and the root mean squared error. The Fick’s diffusion coefficient (Deff) was higher for the samples previously treated with ultrasound for 20 and 30 min. The ultrasonic treatment resulted in shorter drying times with a reduction in average time of up to 29 %. OD was not efficient in reducing drying time, resulting in samples with lower drying rates. The samples treated with ultrasound showed less isotropic shrinkage and better color parameters. The osmotic process resulted in samples with greater rehydration capacity.
Novelty and scientific contribution. The impregnation of a carbohydrate with low glycemic index in banana slices was achieved by the osmotic pretreatment, resulting in a new food product with attractive nutritional properties. This advancement represents not only a significant step in the development of functional foods, but also a major innovation in terms of processing technologies. The OD was combined with infrared drying, a method known for its superior drying rates, high heat transfer coefficient and energy efficiency. The synergy of these promising techniques not only shortens the processing times but also ensures more uniform dehydration of food products, resulting in end products that not only maintain but also optimize their nutritional value. These advances offer innovative solutions to improve food quality and also minimize environmental impact through low-energy technologies such as ultrasound and infrared treatment.
Girişimcilik ve Girişimcilik Kültürünün Türkiye’de Tarihsel Gelişim Çizgisi Üzerine Bir İnceleme
Authors: Dinçay İsmail Hakkı
Published: October 2024

Çalışmanın temel amacı girişimcilik kültürünün gelişim süreci, girişimcilikte genel bağlamda sanayi devrimleri sonucu dünya genelinde ve Türkiye’de meydana gelen değişim ve devinimler ele alınmış, girişimciliğin önündeki engeller ve karşılaşılan sorunlar detayları ile incelenmiş, inceleme sonucunda elde edilen literatür verileri de dikkate alınarak çözüm önerileri sunulmuştur. Bu bağlamda çalışma üç ana bölüm halinde hazırlanmıştır. İlk bölümde girişimcilik kavramı ve özellikleri ele alınmıştır. Bu alana yönelik gerek yerli gerekse yabancı literatür incelenerek girişimciliğe yönelik ortak bir kavram motifi oluşturulmak hedeflenmiştir. Çalışmanın ikinci bölümünde Türkiye ve dünyada girişimciliğin tarihsel gelişim çizgisi ve girişimciliğe yön veren unsurlar incelenmiştir. Üçüncü bölümde ise Türkiye’de girişimciliğe destek veren kurumlar, girişimciliğin ekonomi üzerinde meydana getirdiği olumlu rakamsal verilerle açıklanmıştır. Tüm bu olumlu etkilere karşın girişimciliğin gelişmesine engel olduğu düşünülen unsurlar gerekçeleri ile irdelenmiştir. Sonuç ve tartışma bölümünde girişimciliğin geleceği, girişimcilik konusunda yapılabilecek yeni uygulama ve öneriler sunulmuş olup, çalışmanın bundan sonraki çalışmalar için de literatür desteği sağlaması hedeflenmiştir.
De-gendering the Occupation: Exploring Gender-based Career Challenges Experienced by Female Flight Attendants
Authors: Yanıkoğlu Özge
Published: October 2024

Considering that flight attendant is one of the most gender-stereotyped jobs, this study aims to explore gender-based challenges experienced by female flight attendants throughout their careers. In order to reach the research objectives, an open-ended questionnaire is conducted to 90 flight attendants working in 4 airlines in Turkey. The findings of the study reveal that female flight attendants are experiencing several gender-based challenges, such as being subjected to strict make-up requirements, facing society's negative prejudice, confronting sexual harassment from passengers and colleagues, having trouble establishing authority, and dealing with difficulties associated with a woman-dominated workplace. The study especially reveals the psychological challenges female flight attendants face in the workplace and in their daily lives. The findings and the associated recommendations provided to society and the airline company management aim to create a psychologically and physiologically healthier working environment for female flight attendants and support their career advancement.
Siyasal Katılma, Oy Verme Davranışı ve Liderlik: Oy Verme ve Liderlik Çalışmaları Üzerine Bir Değerlendirme
Authors: Demir Bahri Mert , Özdemir Eylem
Published: October 2024

Bu çalışmada siyasal katılım ve liderlik arasındaki ilişkinin nasıl incelendiği üzerine uluslararası ve ulusal literatür taranarak bir değerlendirme yapılmıştır. Siyasal katılımın en önemli araçlarından biri olan oy verme davranışında siyasal liderlik etkisinin literatürde doğrudan konu edilmediğinin tespit edildiği bu çalışmada, siyasal katılım çalışmalarında siyasal liderlik üzerine hem kuramsal hem ampirik olarak daha çok yer vermesi gerektiği ileri sürülmüştür. Siyasal katılım ve liderlik çalışmaları ayrı ayrı değerlendirilmiş ve liderlik kuramlarının siyaset sosyolojisi alanındaki Weber gibi bazı kaynaklara başvurarak bugüne uyarlamalar yaptıkları gözlenmiştir. Siyasal katılım kuramlarının ise liderlik etkisini dışarıda bırakan kavramsallaştırmalar yaptığı görülmektedir. Ampirik açıdan da seçmen davranışı üzerinde parti liderliğinin etkisi bağlamında sınırlı sayıda araştırma olduğu anlaşılmaktadır. Dünyadaki ve Türkiye’deki çalışmalar taranarak siyaset bilimi bağlamında uluslararası literatürdeki liderlik çalışmalarının eksikliği ve diğer alanlardan devşirilen liderlik teorilerinin analizlerde yarattığı problemler ile ulusal literatürde hem oy verme davranışı hem de siyaset bilimi bağlamında liderlik literatürüne yönelik eksiklikler tespit edilmiş ve seçmen davranışı üzerinde siyasal liderlik etkisini araştırmanın önemi vurgulanmıştır.
Tedarik Zincirine Genel Bakış: Akıllı Tedarik Zincirinde Risk ve Güvenlik
Authors: Talih Özgür , Dönmez Emrah
Published: October 2024

Bir ürün döngüsünde, müşteri taleplerinin karşılanmasıyla ilgili tüm tarafları ve süreçleri kapsayan tedarik zinciri (TZ) kavramı, modern çağın teknolojik gelişmelerine paralel olarak hızla farklılaşmakta ve dönüşmektedir. TZ, stratejik bir avantaj olabileceği gibi, başarının önünde engel potansiyeli olan kritik bir kavramdır. Bu nedenle işletmelerin TZ’yi iyi karakterize etmesi uygulamalar sırasında ortaya çıkacak karmaşayı azaltacaktır. TZ’de gelişim sürecinde ortaya çıkan doğal terminoloji, ulusal ve uluslararası perspektifte ortak dil kullanmak açısından önemli bir ihtiyaçtır. Ayrıca gelişen teknoloji ile farklılaşan risk ve güvenlik konuları hızlıca fark edilmesi gereken sorunlar olarak karşımıza çıkabilir. Bu çalışmada TZ’nin tanımı ve tarihsel gelişimi, bileşenleri, TZ yönetimi, geleneksel TZ, akıllı TZ kavramları irdelenmiş, geleneksel TZ ve akıllı TZ karşılaştırması yapılmış, akıllı TZ süreçleri risk ve güvenlik açısından incelenerek TZ’nin geleceğine değinilmiştir. Akademik yayınlar ve sektör raporlarındaki yaklaşımlar özetlenmek suretiyle bir derleme yapılarak literatüre katkı sunmak amaçlanmıştır. Sonuç olarak bir TZ terminolojisi hazırlanması, TZ ve bileşenlerinden sorumlu otoritelerin netleştirilmesi önerilmiştir.
Yöneticilerin Liderlik Stillerinin İşyeri Sosyal Cesaret Davranışına Etkisi Üzerine Bir Uygulama
Authors: Oğan Ela , Çetiner Nurcan
Published: October 2024

Araştırma MEB’de görev yapan öğretmenlerin görüşleri doğrultusunda okul yöneticilerinin gösterdikleri liderlik stillerinin, öğretmenlerin sosyal cesaret davranışları üzerindeki etkisini belirlemeyi amaçlamaktadır. Sahip olunan liderlik stilinin, işyerinde sosyal cesaret davranışının gösterilmesinde bir öncül olup olmadığının tespitine odaklanılmaktadır. Araştırma, ilişkisel tarama modelinde betimsel bir çalışmadır. Araştırmanın örneklemini, 2022-2023 eğitim-öğretim yılında, ilk ve ortaöğretimde görev yapan öğretmenler arasından rastgele seçilen toplam 404 kişi oluşturmaktadır. Araştırmanın bulguları liderlik stili ile işyeri sosyal cesareti arasında orta düzeyde ilişki olduğunu göstermektedir. Liderlik stilinin işyeri sosyal cesaret davranışını etkilediği tespit edilmiştir. Bunun yanı sıra dönüşümcü liderlik ve etkileşimci liderlik stilinin, işyeri sosyal cesaretine etkisinin anlamlı olduğu ortaya çıkarken serbestlik tanıyan liderlik stilinin ise işyeri sosyal cesaret davranışını etkilemediği sonucuna ulaşılmıştır. Diğer bir sonuç da; liderlik stilinin, işyeri sosyal cesaret davranışının bir öncülü olduğu yönündedir.
Digital Invitation to “Goodness”; A Review on the Social Media Accounts of the International Red Cross and Red Crescent Movement
Authors: Aydın Mustafa , Gülerarslan Özdengül Aşina , Akcan Burçe , Karaçor Süleyman
Published: October 2024

In today's world, the existence of both individuals and institutions in social media based on two-way communication has turned into a necessity, not a choice. Social media has the ability to keep the communication between the "source" and the "recipient" constantly fresh, with opportunities such as sending messages independent of time and place by selecting the relevant target audience, disseminating information, receiving quick feedback, and measuring. For Non-Governmental Organizations that need donations and volunteer-based support and aim to create a social benefit, the opportunities offered by social media offer important opportunities to overcome the barriers to community interest. The aim of this research is to determine how the social media accounts of the Red Crescent and Red Cross movements are shaped in the context of strategic communication and to reveal the similarities and differences in the components of establishing relationships.
Kutatási kézikönyv – arról, ami nincs?
Authors: Salat Levente
Published: October 2024

Tove H. Malloy – Vizi Balázs (Eds.): Research Handbook on Minority Politics in the European Union. Cheltenham, Glos: Elgar, 2022. 450 oldal
High-Precision Detection of Lung Adenocarcinoma Using Augmented VGG16 and Transfer Learning
Authors:   Computer Science, Nitte Meenakshi Institute of Technology, Bangalore, Karnataka, India, Sandhya B R , Anushree L , Darshan R M , Kashyap Akanksha , Amogha K
Published: October 2024

Objectives: The research aims to enhance the effectiveness of the deep learning model for detecting lung adenocarcinoma using VGG16 CNN with transfer learning on medical images. The proposed model addresses the overfitting issues of existing models, thereby improving lung cancer detection accuracy. Methods: The lung CT scan images are analyzed for detection and classification using VGG16, leveraging transfer learning techniques. The dataset includes labeled lung images from LUNA 16, Kaggle, and other datasets, which are augmented to introduce variability and reduce overfitting. The images are resized format to 224 × 224 pixels. During the validation and training phases, the model's performance is evaluated based on accuracy, and precision. Findings: The adjusted VGG16 model attains a training accuracy of 99.42%, a validation accuracy of 99.13%, and a validation precision of 95.45%, indicating strong generalization capabilities, outperforming other existing models. Novelty: This research presents a new method for detecting lung cancer by combining advanced preprocessing and data augmentation techniques with the VGG16 architecture using transfer learning. This combination greatly enhances the model's ability to detect cancer accurately, setting a new standard in the field. Keywords: Lung cancer, VGG16, Transfer learning, Data augmentation, medical imaging, CT (Computer Tomography)
Multidimensional Dynamic Destination Recommender Search System Employing Clustering: A Machine Learning Approach
Authors:   Research Scholar, Computer Engineering, Dr. Subhash University, Junagadh, Gujarat, India, Bangoria Bhoomi Mansukhlal , Panchal Sweta S , Panchal Sandipkumar R , Maheta Janvi M , Dhabaliya Sweety R
Published: October 2024

Objectives: Recommender Systems (RS) powered by algorithms of machine learning is a popular tool for planning and implementing custom-made travel proficiencies. The persistence of this study is to recommend destinations according to a selection of various dimensions by the user. Methods: This approach uses a hybrid filtering system for recommendation with a weighted K-means clustering algorithm. For this study dataset was taken from Kaggle. Data considers different cities of India with different dimensions like city, name, type, and significance. According to the city first find latitude and longitude for precise clustering. Future work will incorporate optimization techniques to improve cluster formation recommendation accuracy. Findings: Clustering (unsupervised learning) is a separation technique that involves assigning locations to corresponding subsets of related clusters. The weighted K-means clustering algorithm is used with the elbow method which is used for discovering the optimum number of clusters. In weighted K-means algorithm for clustering uses scaling factor wi ​which transforms the impression of individual features to the whole distance calculation. It signifies the meaning of the ith feature in the perspective of the grouping task. Offering a scaling factor permits additional tractability in modifying the outcome of specific features on the distance calculation. It enables customization of the distance metric constructed on the specific requirements and characteristics of the records and clustering task. In this study, user can select multiple dimensions of their choice and get recommendations according to their choice. The proposed weighted K-means algorithm shows a significant improvement in accuracy which considers the proportion of correct recommendations out of all recommendations. A comparison with traditional K-means was conducted, where the weighted algorithm achieved a 17% higher accuracy due to its ability to give importance to specific features. The future version of the proposed system will incorporate optimization techniques for enhanced performance. Novelty: The suggested solution in this paper demonstrates that the user can enter the city of their choice. The recommended method indicates the city and nearby predilections once the user has selected their parameters, such as consuming formations or name or type. The ratio of relevant destinations that have been successfully recommended is 18% more compared to the K-means clustering algorithm. Keywords: Recommender System, Clustering, Destination Recommender System (DRS), Machine Learning, Weighted K-means clustering Algorithm
Student Readiness and Acceptance of eLearning Platforms: The Case of UDOM eClassroom of the University of Dodoma
Authors:   Department of Computer Science and Engineering, The University of Dodoma, Tanzania, Mohsini Mustafa Habibu , Mtani Hamadi , Rashidi Florence Upendo
Published: October 2024

Objectives: To identify factors influencing students' acceptance of the UDOM eClassroom system at the University of Dodoma, focusing on the pandemic situation during and after the COVID-19 impacts in Tanzania. Methods: This study used the Technological Acceptance Model (TAM) as the theoretical framework and extended it by incorporating constructs such as Management support, Facilitating conditions, and Subjective norms from the other models. The model was tested using survey responses from 101 students (n=101) taking diplomas and bachelor's degrees from various programs at the College of Informatics and Virtual Education (CIVE). Findings: Quantitative analysis revealed that perceived usefulness (p-value=0.000), ease of use (p-value=0.000), management support(p-value=0.000), facilitating condition (p-value=0.000), and student attitude (p-value=0.000) have significantly influenced the students' UDOM eClassroom acceptance. The subjective norm (p-value=0.224) did not influence the acceptance of students' UDOM eClassroom. The study's findings will support educational institutions in identifying the strategies needed to boost learning platform usage and achieve the intended outcomes in educational institutions. Novelity: This study has focused on locally developed eLearning systems by the higher education institution specifically UDOM eClassroom which has different support structures, user experience, and resource constraints compared to the available open-source eLearning platforms such as Moodle and Blackboard. Keywords: Student acceptance, eLearning system, UDOM eClassroom, Digital learning, Educational institutions
Serum IL-6 as a Potential Biomarker of Metabolic Status in Schizophrenia Patients and Its Correlation with Psychotic Symptoms
Authors:   Research Scholar, Department of Biotechnology, Gauhati University, Guwahati, 781014, Assam, India, Bharali Abhijit , Talukdar Uddip , Das Partha Pratim , Sarma Hridip Kumar
Published: October 2024

Objectives: This study aimed to investigate the serum IL-6 level in schizophrenia patients, considering disease chronicity and metabolic status, and to examine its correlation with psychotic symptom scores. The present study also evaluated the diagnostic value of serum IL-6 as a peripheral biomarker for assessing the metabolic health of schizophrenia patients. Methods: Serum IL-6 levels were measured using enzyme-linked immunosorbent assay (ELISA) in 92 schizophrenia patients [44 First Episode Drug Naive (FEDN), 48 chronic schizophrenia (CSZ) patients] and 32 healthy controls. Patients were also stratified into high-risk and no-risk cohorts based on their metabolic status. Psychotic symptoms were assessed with the Positive and Negative Syndrome Scale (PANSS). Findings: Serum IL-6 levels were significantly higher in schizophrenia patients compared to healthy controls (p<0.001), with no difference between FEDN and CSZ patients (p=0.475). Elevated IL-6 levels were observed in patients in high-risk group compared to those in no-risk group (p<0.001). There was a positive correlation between serum IL-6 levels and BMI (r=0.557, p<0.001), G score (r=0.244, p=0.01), and total PANSS score (r=0.228, p=0.02). Similar associations were found in CSZ patients. The ROC curve analysis showed that serum IL-6 has strong diagnostic potential for distinguishing schizophrenia patients in the high-risk group from those in the no-risk group (AUC=0.875, 95% CI: 0.781-0.969, p<0.001), suggesting its value as a biomarker. Novelty: This study highlights the stable role of serum IL-6 in schizophrenia patients regardless of disease chronicity. The findings suggest that serum IL-6 levels were significantly associated with disease severity as measured by PANSS and metabolic health of schizophrenia patients, providing new insights into its prognostic and diagnostic utility. Early identification and targeted management of high-risk groups can improve patient outcomes and quality of life. Keywords: Schizophrenia, IL-6, FEDN, Chronic, PANSS, Metabolic status, Biomarker
An EPQ Model with Varying Demand for Uncertain Quality Products
Authors:   Research Scholar, PG and Research Dept. of Mathematics, Thanthai Periyar Government Arts and Science College (Autonomous), Affiliated to Bharathidasan University, Tiruchirappalli, Tamil Nadu, India, Baggiyalakshmi S Anusuya , Maragatham M
Published: October 2024

Objectives: This article delves into a production inventory model centered on non-deteriorating items amidst fluctuating demand. Methods: To minimize the total cost using the sine function as a demand function. Findings: In the manufacturing process, there's a chance of product damage, resulting in the final products being either flawless or flawed. Quality assessments occur during production to distinguish the flawless ones for immediate sale, while the flawed ones are marked down for later sale. “In this article, we use a sine function for demand which will increase first, and after a certain point it starts decreasing”. Novelty: The existing method has discussed only increasing or decreasing demand, but the current study deals with both increasing as well as decreasing at the same time. Applications: Seasonal methods like umbrellas, Christmas decorative items, crackers, etc., have increasing demand for the particular season. Keywords: Production Model, Fluctuating Demand, Sine function, minimizing Total Cost, Flawless items
Optimizing Solar Power Generation and Integration in Automotive Systems Through IoT
Authors:   Research scholar, Department of Computer Science & Applications, St Peters Institute of Higher Education and Research, Avadi, Chennai, Tamil Nadu, India, Priya V Sri , Brindha S
Published: October 2024

Objective: This study presents an Internet of Things (IoT)- based system with edge intelligence that predicts power production with over 98% accuracy and monitors substations and smart solar installations, ensuring reliable power distribution in industrial IoT environments. This system enhances sustainability, safety, and energy management in smart buildings by reducing power fluctuations by 30% and improving decision-making, leading to a 95% reduction in energy management costs. Method: An IoT-enabled power monitoring system was implemented for smart solar panels and substations, incorporating edge intelligence for instantaneous prediction and decision-making. An IoT-enabled solar charging station was deployed for smart homes and Industry 4.0 applications. The cloud was used for analyzing sensor data, with a response time of less than 1 second. Findings: The proposed framework increased the efficiency and reliability of power production and distribution by 25% across commercial, residential, and industrial contexts. It significantly mitigated power fluctuations, reducing downtime by 40% and achieving a 95% cost reduction in energy management compared to traditional systems. IoT integration improved safety and sustainability metrics by 20% in smart buildings. Novelty: The framework integrates edge intelligence with IoT in smart solar systems and substations, providing a sophisticated control system that enhances power distribution decision-making. It facilitates real-time monitoring and prediction of power production with over 98% accuracy, emphasizing sustainability, safety, and energy management improvements of up to 30% in smart buildings. Keywords: IoT-based control system, Smart solar systems, Edge intelligence, Power substations, Load management, Energy sustainability
Dengue virus serotype 2 NS2B-NS3 protease fusion construct small scale expression and purification for Creoptix and biochemical assaysprotocol v1
Authors: Wang Korvus , fairhead michael , Williams Eleanor
Published: October 2024

This protocol details the co-expression and purification of Dengue virus serotype 2 NS2B-NS3 protease fusion construct bearing a N-terminal His-StrepII tag at small scale (<6L). The final product does not have its affinity tags removed, and is catalytically active. Final product is suitable for Creoptix and biochemical assay.
ATAC-seq for human iPSC-CM following GSK3 inhibition v1
Authors: Anglen Taylor , M. Kaplow Irene , Choi Baekgyu , Hagy Kevin , Tran Duc , E. Ramaker Magan , Shah Svati , Jung Inkyung , Karra Ravi , Diao Yarui , A. Gersbach Charles
Published: October 2024

This protocol describes Omni ATAC-seq methods in human iPSC-CM following growth with or without GSK3 inhibition using CHIR99021.
Navigating Intersectional Complexities: A Narrative Analysis of Syrian Refugee Women With Disabilities in Turkey
Authors: Karadag Avci Yasemin , Sengul Irem
Published: October 2024

Refugee women with disabilities experience a multiplicity of insecurities before, during, and after their displacement, including exposure to violence during conflicts, barriers to their mobility, challenges along their routes to safety, difficulties in accessing rights and services in the host state, and hardships while navigating the means of survival in the host community. Despite the intertwined convergence of gender and ableism in exile affecting refugee women’s experiences, international and national laws and policies fail to address this intersectional reality. This study examines the lived experiences of Syrian refugee women with disabilities in Gaziantep, Turkey. Through an analysis of qualitative data with a narrative approach, the study not only depicts the interactions of gender, disability, and displacement that shape Syrian women’s lives but also contests the traditional discourse on their vulnerabilities. Through specific stories of Syrian women, this study highlights their strategies for survival and their future plans within the context of the intersectionality of the challenges they face.