bluuebunny/crossref_metadata_2025 huggingface dataset:
Potential distribution modeling based on machine learning of Sechium edule (Jacq.) Sw. in Japan
Authors: Cadena-Iñiguez Jorge , Barrera-Guzmán Luis Ángel , Cadena-Zamudio Daniel Alejandro , Galarza Gustavo Antonio Arévalo , Medina Juan Francisco Aguirre
Published: August 2023

Species distribution models identify regions with ideal environmental characteristics for the establishment and proliferation of species. The chayote is a crop that originated and domesticated in Mexico; however, it is cultivated in different parts of the world due to its nutritional and pharmaceutical importance. The objective of this research was to locate the potential distribution of S. edule in Japan supported on seven machine learning models, to also determine which bioclimatic variables influence its distribution, and which are the most suitable regions for its establishment. Thirty-one occurrence points, elevation, and the bioclimatic variables bio1, bio3, bio4, bio7, bio8, bio12, bio14, bio15, and bio17 were used to infer the models. Hundred percent of the occurrence points coincided with the Cfa climate distributed in Acrisol (60.9%), Andosol (17.4%), Cambisol (13%), Fluvisol (4.35%), and Gleysol (4.35%) soil. The Maxent model reported the highest AUC value (0.93), while the GLM obtained the best TSS value (0.84); the SVM model reported the largest suitability area ≥ 0.5 with 100,394.4 km2. Temperature-related variables were the major contributors to the models and the ones explaining the distribution limits of S. edule in Japan. The coastal eastern prefectures of Kantō, Chūbu, Kinki, Chūgoku, Kyūshū, and Shikoku regions showed a suitability ≥ 0.5.
The complete mitochondrial genome of Chilo infuscatellus (Lepidoptera: Pyralidae), and related phylogenetic analysis
Authors: Yi Jiequn , Liu Jianbai , Mao Yongkai , Cheng Yinjie , Lin Minjiang , Xu Hanliang , An Yuxing , Li Jihu , Wu Han
Published: August 2023

The Chilo infuscatellus (Lepidoptera: Pyralidae) is a significant pest of sugarcane in China. The genome-level characteristics of this pest are important genetic resources for identification, phylogenetic analysis, and even management. In the present study, the complete mitogenome of C. infuscatellus was sequenced and characterized. The complete mitogenome of C. infuscatellus is 15,252 bp in length and comprises 13 protein-coding genes (PCGs), 22 transfer RNA genes (tRNAs), 2 ribosomal RNA genes (rRNAs), and an A + T-rich region. Except for the CGA codon for the cox1 gene, the PCGs initiated with ATN codons (ATG, ATT, and ATA). These PCGs terminated with TAA or an incomplete T. Except for the loss of the “DHU” arm for trnS1, the tRNA genes were folded into the typical cloverleaf structure. The A + T-rich region has a high AT content of 96.19% and contains the motifs “ATAGA” and “ATTTA”, as well as a 19 bp poly-T stretch and microsatellite regions. The C. infuscatellus mitogenome exhibits a conserved gene order among lepidopteran insects, with a rearrangement of the trnM gene compared to the ancestral mitogenome. Phylogenetic analysis based on the 13 PCGs using Bayesian inference (BI) and maximum likelihood (ML) methods confirmed the monophyly of Pyralidae and Crambidae within Pyraloidea. The relationships between subfamilies in Pyralidae can be described as (Galleriinae + (Phycitinae + (Pyralinae + Epipaschiinae))). The “PS clade” and “non-PS clade” were formed in the family Crambidae. Our results enrich the genetic resources of sugarcane borers and provide insights into the phylogeny of Pyraloidea insects.
A Markovian approach for dynamic transit assignment on multimodal public transport networks
Authors: Paz-Guala Ricardo de la , Munizaga Marcela , Arriagada Jacqueline
Published: August 2023

We develop the Markovian dynamic transit assignment (MDTrA) modeling framework for large multi-modal networks to incorporate into the transit assignment analysis the dynamic aspects that come from the time-dependent relationship between demand and supply and the stochasticity that comes from differences in passenger's costs perception, measurement errors, and other sources of uncertainty. The intuition is that passengers choose their routes by a recursive arc-choice process, according to the expected minimum costs from their current node to their destinations. Our approach presents an important opportunity to use smartcard data, as demand profiles and users' choices over time are obtained from it.
Clearance and Nutrition in Neonatal Continuous Renal Replacement Therapy (CRRT) Using the CARPEDIEM™ System
Authors: Vuong Kim T , Vega Molly R. , Casey Lauren , Swartz Sarah J. , Sriva Poyyapakkam , Osborne Scott W. , Rhee Christopher J. , Arikan Ayse Akcan , Joseph Catherine
Published: August 2023

Background: Infants with end stage kidney disease (ESKD) demonstrate poor growth partly due to obligate fluid and protein restrictions. Delivery of liberalized nutrition on continuous renal replacement therapy (CRRT) is impacted by clinical instability, technical dialysis challenges, solute clearance, and nitrogen balance. We analyzed delivered nutrition and growth in infants receiving CRRT with the Cardio-Renal, Pediatric Dialysis Emergency Machine (CARPEDIEM™).
Methods: Single center observational study of infants receiving CRRT with the CARPEDIEM™ between June 1 and December 31, 2021. We collected prospective circuit characteristics, delivered nutrition, anthropometric measurements, and illness severity Score for Neonatal Acute Physiology-II. As a surrogate to normalized protein catabolic rate in maintenance hemodialysis, we calculated normalized protein nitrogen appearance (nPNA) using the Randerson II continuous dialysis model. Descriptive statistics, Spearman correlation coefficient, Mann Whitney, Wilcoxon signed rank, Receiver-Operating Characteristic curves, and Kruskal-Wallis analysis were performed using SAS version 9.4.
Results: Eight infants received 31.9 [22.0, 49.7] days of CRRT using mostly (90%) regional citrate anticoagulation. Delivered nutritional volume, protein, calories, enteral calories, nPNA, and nitrogen balance increased on CRRT. Using parenteral nutrition, 90 ml/kg/day should meet caloric and protein needs. Following initial weight loss of likely fluid overload, weight gain occurred after 14 days of CRRT. Despite adequate nutritional delivery, goal weight (z-score=0) and growth velocity were not achieved. Most (62.5%) survived and transitioned to peritoneal dialysis (PD).
Conclusions: CARPEDIEM™ is a safe and efficacious bridge to PD in neonatal ESKD. Growth velocity of infants on CRRT appears delayed despite delivery of adequate calories and protein.
Stabilization of Semi-Markovian Jumping Uncertain Complex-valued Networks with Time-varying Delay: A Sliding-Mode Control Approach
Authors: Li Qiang , Wei Hanqing , Hua Dingli
Published: August 2023

This paper pays close attention to the stabilization issue for delayed uncertain semi-Markovian jumping complex-valued networks via sliding mode control. The concerned corresponding transition rates depend on a positive constant, i.e., sojourn-time, which is not required to obey the general exponential distribution. Combine the generalized Dynkin’s formula with Lyapunov stability theory as well as the characteristics of cumulative distribution functions, a few sufficient criteria are proposed to ascertain the stochastic stability of the obtained sliding mode dynamical system. In addition, design a novel sliding mode controller to ensure all state trajectories of the potential closed-loop system can reach the synthesized sliding mode switching surface in a finite time and maintain there in the subsequent time. In the end of paper, one simple example is presented to verify superiority and feasibility of the provided controller design scheme.
Nationwide genomic surveillance revealed the presence of viruses, bacteria, and antimicrobial resistance genes associated with animal and human health carried by domestic cats in China
Authors: Li Qiuyan , Zhou Dengyuan , Wang Xugang , Cao Longlong , Wang Wenyuan , Zhang Chenxi , Hu Siyun , Qian Chaonan , Chen Huanchun , Cao Shengbo , Peng Zhong , Ye Jing
Published: August 2023

Background:
As a highly popular choice for a household pet worldwide, domestic cats may carry pathogens and antimicrobial resistance genes (ARGs) that pose severe risks to human health. However, our knowledge about pathogens and ARGs carried by cats remains limited. This large-scale genomic surveillance study is designed to identify viruses and bacteria as well as ARGs that may pose risks to animal and human health in the upper respiratory tracts of domestic cats in China.
Results:
Meta-transcriptome sequencing of 1454 oropharyngeal-nasal swabs collected from domestic cats in different living conditions in 22 Chinese provinces identified 371 viral species that can affect the health of animals and humans. A total of 24 viral species that had been known to cause infections in cats were detected. Among them, felis catus gammaherpesvirus 1, feline dependoparvovirus, feline foamy virus, fesavirus 4, puma lentivirus, and puma lentivirus-14 were detected in Chinese cats for the first time. Our study also identified the presence of nucleic acids from viruses associated with other animal species commonly found in human daily lives, including poultry, birds, pigs, cattle and other ruminants, minks, rabbits, and dogs. Notably, we identified many well-known viruses associated with public health concerns, including SARS-related coronavirus, monkeypox virus, and Zika virus (ZIKV). For the first time we found cats could be experimentally infected with and transmit ZIKV via mosquito bites, indicating a potential role of domestic cats in the maintenance and spread of the virus. We also identified a substantial number of bacterial species associated with public health, including the ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp.) which showed a broad detection range. Additionally, a plentiful amount of ARGs, including those conferring resistance to the last resort antibiotics (carbapenems [blaNDM, blaOXA, blaVIM], colistin [mcr], and high-level tigecycline [tetX3, tetX4, tetX5, tetX6]), were also detected broadly.
Conclusions:
This study indicate that domestic cats may act as a role in the worldwide emergence and increasing of zoonotic diseases and antimicrobial resistance. It is important to monitoring domestic cats within the One Health approach to control these critical global public health issues.
Traveling wave solutions of the generalized Burgers-Huxley Equation
Authors: Habiba Umme , Salam Md. Abdus
Published: August 2023

In the field of mathematical sciences and engineering, traveling wave solutions serve as crucial for illustrating the wave nature of nonlinear problems. On the other hand, the fractional order nonlinear partial differential equations demonstrate the nonlinear physical phenomenon more accurately. As a result, investigations on such equations are of common interest to the researchers. In our article, we investigate the generalized Burgers-Huxley equation by means of the improved Bernoulli sub-equation function method (IBSEFM). Additionally, we study the bifurcation, and stability of the equilibria, and perform phase plane analysis of the model. The solutions and numerical analysis are drawn with the aid of the mathematical software Maple and the figures are obtained using MATLAB. It is expected that the investigation will be helpful in describing the nonlinear physical phenomena.
Disaggregating IMERG Satellite Precipitation Over Czech Republic: An Innovative Approach using Hybrid Extreme Gradient Boosting based on Fuzzy Spatial-Temporal Multivariate Clustering
Authors: Singh Ujjwal , Nasreen Sadaf , Tripathi Gaurav , Mehrishi Pragya , Pradhan Rajni Kumar , Bestakova Zuzana , Singh Vivek Vikram , Gouda K C , Sharma Laxmi Kant , Jalem Kiran , Maca Petr , Nidamanuri Rama Rao , Raghubanshi Akhilesh Singh , Markonis Yannis , Oldˇrich Rakovec , Hanel Martin
Published: August 2023

Achieving accurate precipitation estimation at high spatial and temporal resolution is critical in hydrology and meteorology, particularly in regions experiencing water resource degradation. Integrating original products of generally coarse-resolution hydrological parameters from multiple satellites is a promising technology for producing massive repositories of space-time varying datasets such as precipitation. A methodological modelling framework commonly known as downscaling or disaggregation is evolving as a viable approach for generating hydrological datasets with spatio-temporal scales suitable for operational usage. In this study, we propose a non-parametric method for generating a high-resolution dataset from a coarse-resolution integrated multiple satellite-based precipitation dataset. The disaggregation involves using a hybrid Extreme Gradient Boosting (XGBoost) approach combined with multivariate spatial-temporal Fuzzy clustering. This clustering relies on Integrated Multi-satellite Retrievals for GPM (IMERG) precipitation and Shuttle Radar Topography Mission (SRTM) Digital Elevation Data to establish eight distinct clusters.The proposed method is experimentally demonstrated implementing to downscale 255 months (June 2000 to September 2021) of IMERG satellite data from 11km to 1km spatial resolution over the Czech Republic. We utilized eight stations, one per cluster, for training and validation purposes, with the remaining 19 stations used solely for validation. Our findings demonstrate a strong agreement between the disaggregated monthly precipitation over the 20 years and ground-observed precipitation, suggesting that our proposed methodology substantially enhances the accuracy of IMERG precipitation data. This method holds promise for applications in other regions with remotely sensed data, especially where ground-measured station data is sparse, facilitating the generation of high-resolution, accurate precipitation data.
Top-Down or Bottom-up? Growth direction of gas flow-assisted perovskite layers
Authors: Mathies Florian , Nandayapa Edgar , Rehermann Carolin , Shargaeiva Oleksandra , List-Kratochvil Emil , Unger Eva
Published: August 2023

Photovoltaic devices based on metal halide perovskites have been established as a leading technology for future energetic applications, making scalabledeposition methods, compatible with high-throughput yields, more relevant than ever before. However, the key to producing highly efficient devices is to control the film formation process to create homogeneous pinhole-free films. This process becomes more challenging as the active area of the device increases. Our work provides insights into the crystallization dynamics of metal halide perovskite thin films by in-situ monitoring. By utilizing photoluminescence and X-ray diffraction techniques, we identified that the film quality strongly depends on the dynamics of the gas flowing in the drying chamber. Optical and structural in-situ measurements revealed the growth of the perovskite films from bottom to top using a gas-assisted vacuum drying method. These results emphasize the importance of controlling the quenching stream of gases used to crystallize the films after deposition. Furthermore, it establishes a clear development path for future large area perovskite solar cells.
Quasi-Opposition-Based Learning in a Shuffled Particle Swarm Optimization for Solving Frequency Modulation Sounds Parameter Identification Problem
Authors: Ahandani Morteza Alinia
Published: August 2023

This paper proposes some novel versions of the shuffled particle swarm optimization (SPSO) for solving the frequency modulation sound parameter identification (FMSPI) problem. In the SPSO, a population is divided into several parallel groups and then each group is independently evolved in an evolutionary process using a particle swarm optimization (PSO). This paper employs two different strategies to prevent a premature convergence and providing a better balance between the exploration and exploitation abilities of the SPSO algorithm. Firstly, it proposes that we can use a separate strategy for the inertia weight factor parameter of each group in each iteration of the SPSO algorithm. For the second strategy to provide a deep search of promising areas, a quasi-opposition-based strategy is inserted in the SPSO. Experimental results on FMSPI problems show that new employed strategies reduction lead to achieving a more effective and robust algorithm so as it can considerably improve the performance of the SPSO.
Identifying Neotectonic Motions in Germany Using Discontinuity-corrected GNSS Data
Authors: Le Nhung , Männel Benjamin , Bui Luyen K. , Schuh Harald
Published: August 2023

The crustal motions throughout Germany have not yet been fully understood because the research scope of previous studies mainly focuses on some active grabens. Thus, we investigate it in detail to identify the neotectonic motion characteristics and specific deformation-ongoing regions. High accuracy for monitoring and data analyses is required because the expected crustal deformation in Germany is small. We use high-precision GNSS time series processing techniques and interdisciplinary data to reflect actual motions and determine the causes of deformation. Also, an advanced technique of discontinuity correction is introduced to unify the fragments of the GNSS coordinate time series for better velocity field reliability. Our findings show that the Earth’s crust in Germany tends to increase at a maximum speed of +1.0 mm/yr. Meanwhile, local subsidence of around -0.8 mm/yr is concentrated in the river basins (e.g., the Rhine, Ems, Elbe, Northern Oder, and Danube) and extensive mining regions. The Earth’s crust here also behaves with noticeable compressions. The intra-plate motion in Germany is ∼0.8 mm/yr. A special region with an extension rate of +4.3 nstrain/yr is observed along the North-South trending Regensburg-Leipzig-Rostock shear zone. Machine Learning clusters the 3D plate velocity field into three distinct regions with increasing speeds: Northwest, East, and Southwest. Significant surface deformations are detected mainly in the Upper Rhine Graben, Eifel volcanic field, and Thuringian-Vogtland slate mountains. The harmonic motions of the Earth’s crust in Germany have an amplitude of ∼4.7 mm, in which the surface loads contribute half to this type of motion. The findings will contribute to the overall picture of neotectonics here.
Microstructural Analysis & Tribology Characteristics of Magnesium Alloy AZ31B and Its Composites Using Machine Learning Modeling
Authors: Prakash Chinnam Dilip shyam , Ramanaiah N. , Subbaiah K.Venkata
Published: August 2023

Examining the effects of wear factors and the wear rate (WR) of magnesium (AZ31) composites is the main objective of this work. Silicon carbide (SiC) and graphene are used as reinforcing materials in the stir casting technique used to create the composite materials. In the current study, three tribological factors sliding distance, velocity, and load as well as one material factor, material type were chosen to investigate their effects on wear rate. The Taguchi technique is used to design the tests, and it has been found that load (L), followed by MT, D, and V, has the greatest impact on WR. The following are the ideal values for the influencing parameters for WR: MT = T3, L = 10 N, V = 3m/s and D = 500 m. SEM micrographs of the wear pin's surface and its by-products were used to study the wear mechanisms under the highest and lowest WR conditions. According to the SEM study, the worn surface displayed signs of oxidation, adhesion, delamination, and abrasion mechanisms. Decision trees (DT) is examples of machine learning (ML) model that were used to create an efficient prediction model that accurately predicted the output responses to the subsequent input variables. Confirmation tests were run under ideal circumstances, and the same was checked against the outcomes of DT.
Optimization of Bin Packing and Vehicle Routing for Last Mile Delivery of Fast-Food Supply Chain
Authors: Paul Tonmoy
Published: August 2023

The authors have requested that this preprint be removed from Research Square.
Landslide Mapping Using InSAR and GIS Techniques: A Case Study at Debresina Area, Ethiopia
Authors: Agegnehu Natnael , Gerra Solomon
Published: August 2023

A landslide is the major geohazard in the Ethiopian highlands. We used InSAR and GIS techniques to map landslide susceptibility. SAR images generated from Sentinel 1A are utilised for landslide displacement investigations during the InSAR method. GIS analysis results showed that it is a powerful technique to classify landslide zoning into very high, high, moderate, and low susceptibility, whereas the wrapped Interferogram shows a displacement of -12 to 12 mm/yr. Thus, high and very high classes of landslide zoning overlapped in the highest displacement regions. Results were validated with GPS data using the R-index method. Accordingly, 79.45% of sample points fall on the displacement map (Interferogram), and the same percent of those points overlap with the high and very high landslide zones. This means InSAR and GIS methods can be used for landslide susceptibility mapping, but for more accuracy and quantification of landslide displacement, InSAR techniques are recommended.
Zwischen Präzision und Sensitivität
Authors: Köstler Verena
Published: August 2023

Neben digitalisierungsbezogenen Fragestellungen im Kontext Lehren und Lernen im Allgemeinen rücken in jüngster Zeit auch im deutschsprachigen Raum KI-bezogene Fragestellungen im Besonderen in den Fokus der Forschung. In der weitgehend interdisziplinären Bearbeitung des Themas, international aufgegriffen unter artificial intelligence in education (AIED), sind technisch geprägte Fachdisziplinen im Vergleich zu pädagogisch-didaktischen Forschungsbereichen weitaus breiter vertreten (vgl. bspw. für die Hochschuldidaktik: Zawacki-Richter et al. 2019). Zur Stärkung eines erziehungswissenschaftlichen Zugangs wird die Generierung eines Studienkorpus exemplarisch für eine Forschungssynthese mit der Zielstellung eines systematischen Überblicks zu aktuellen Entwicklungen des KI-gestützten Lehrens und Lernens im Kontext institutioneller Bildung dargelegt. Die Entwicklung einer geeigneten Suchstrategie war geprägt von Abwägungen zwischen Präzision und Sensitivität (vgl. bspw. Campbell et al. 2018). Anhand der Prozesse Auswahl von Datenbanken, der Erstellung von Konzeptgruppen und Suchstrings sowie der Spezifizierung von Inklusionskriterien werden diese spezifiziert und für das finale, 51 Treffer umfassende Studienkorpus datenbankbezogen aufgezeigt. Es wird argumentiert, dass die Darlegung von Kennwerten zu Sensitivität und Präzision der verwendeten Datenquellen bei der Bearbeitung interdisziplinärer Fragestellungen, wie sie in bildungstechnologischen Themenfeldern häufig anzutreffen sind, einen Beitrag zur methodischen Qualitätsentwicklung zukünftiger Forschungssynthesen leisten kann.
The influence of soil and climatic conditions on the formation of economically valuable characteristics of soybean varieties [Glycine max (L.) Merril]
Authors: Korol L. V. , Topchii O. V. , Dikhtiar I. O. , Piskova O. V. , Ivanytska A. P. , Shcherbynina N. P.
Published: August 2023

Purpose. To carry out the clustering of soybean varie­ties suitable for growing in different agro-climatic regions of Ukraine, according to yield, and to identify the influence of the soil-climatic conditions of the Steppe, Forest-Steppe, and Polissia on their economically valuable characteristics in order to provide recommendations to producers regarding the selection of varieties for farms.
Methods. The research involved laboratory, computational and statistical methods.
Results. The highest oil content was obtained in 2019 in the Steppe zone in the seeds of such varieties as ‘ES COMPOSITOR’ (25.8%), ‘Churaivna’ (25.7%), ‘Atacama’ (25.7%) and ‘Acardia’ (25.3%); in Polish – ‘ES COMPOSITOR’ (24.7%) and ‘Acardia’ (24.2%). The most “crude protein” was obtained in 2020 in the Forest Steppe, in particular, the variety ‘ES BACHE­LOR’ was characterized by the maximum values – 45.3%. Regardless of the influence of the factors, high yield indicators provided ‘Atacama’ (2.4–3.4 t/ha), ‘Acardia’ (2.5–3.2 t/ha), ‘ES COMPOSITOR’ (2.4–3.5 t/ha) and ‘ES CHANCELLOR’ (2.5– 2.9 t/ha); low – ‘Churaivna’ (2.3–2.7 t/ha), ‘ES BACHELOR’ (2.2–2.7 t/ha). The yield of ‘Adessa’, ‘RGT SPHINXA’ (2.7– 3.0 t/ha each) and ‘SOLENA’ (2.7–3.2 t/ha) depended on the weather conditions of the year. In the Steppe zone, three clusters are distinguished by yield indicators: the first – the varieties ‘Atacama’, ‘ES COMPOSITOR’ and ‘Churaivna’, the se­cond – ‘Adessa’, ‘RGT SPHINXA’ and ‘ES BACHELOR’, the third – ‘Acardia’ and ‘ES CHANCELLOR’; in the Forest Steppe – four: the first – ‘Adessa’, ‘RGT SPHINXA’ and ‘ES CHANCELLOR’, the second – ‘Churaivna’ and ‘ES BACHELOR’, the third – ‘Acardia’ and ‘SOLENA’, the fourth – ‘Atacama’ and ‘ES COMPOSITOR’; in Polissia there are two clusters: the first – ‘RGT SPHINXA’, ‘ES COMPOSITOR’ and ‘ES CHANCELLOR’, the second – ‘Acardia’ and ‘Angelica’.
Conclusions. For cultivation in a farm, it is necessary to select varieties that, according to the results of the analysis, were in different clusters. On the other hand, those that are in the same cluster should be avoided, because they react more or less the same to the conditions of cultivation and therefore may react similarly to the action of adverse environmental factors.
Dynamic framework for strategic forecasting of the bank consumer loan market: Evidence from Ukraine
Authors: Kaminskyi Andrii , Versal Nataliia , Petrovskyi Oleksii , Prykaziuk Nataliia
Published: August 2023

Accurate forecasting of consumer loan market behavior gives banks a huge potential to optimize their credit strategies by proactively adapting to external changes. This study aims to analyze and predict consumer loan demand, supply, and profitability in the Ukrainian banking sector. Using a systemic dynamic approach, the interplay of five key factors is considered: central bank policies, GDP fluctuations, changing competitive landscape driven by FinTech companies, investment in government bonds as an alternative to loan granting, and severity of credit risk management.The developed dynamic model for the bank consumer loan market in Ukraine offers predictive capabilities enhancing decision-making and strategic planning in the banking sector and can be adapted in open small economies. Within the proposed systemic dynamic model, five scenarios were explored. Compared to the base scenario, a 4 p.p. increase in the key policy rate results in UAH 4.7 billion decrease in demand for bank consumer loans and a UAH 0.55 billion reduction in lending profitability based on the year’s results. Fall in GDP by 6 p.p. leads to a decrease in the supply of bank consumer loans by UAH 6.9 billion and a decrease in lending income by UAH 1.3 billion based on the year’s results. Scenario with the decline of FinTech portfolio by 20 p.p. quarterly leads to an increase in demand for bank consumer loans of UAH 8 billion. A 4 p.p. rise in government bond yields leads to a UAH 17 billion reduction in the supply of consumer loans in the same quarter.
Guerra Híbrida vs. Gibridnaya Voyna os diferentes significados dos conflitos híbridos para o Ocidente e para a Rússia
Authors: Buonafina Dourado Maria Eduarda , Cunha Leite Alexandre Cesar , Ferreira Nobre Fábio Rodrigo
Published: August 2023

Após o fim da Guerra Fria, iniciou-se o debate entre especialistas militares e acadêmicos, com o objetivo de prever como seriam os novos conflitos. Em um período pós-conflito nuclear, alguns especialistas sugeriram que o mundo enfrentaria pequenas guerras, desta vez entre atores não estatais, cujo método e estratégia seriam caracterizados como primitivos. Seria o retorno de guerras de guerrilha, sabotagem, subversão, crime organizado e terrorismo junto a abordagens convencionais. Essa nova estratégia tornou-se conhecida pelo termo Guerra Híbrida, cunhada por militares estadunidenses, para descrever principalmente a atuação russa durante a anexação da Crimeia em 2014. Neste artigo indaga-se se o conceito de Guerra Híbrida é encarado de forma semelhante pelos estrategistas e teóricos russos.
“Lawfare” e cerceamento tecnológico o caso do acordo de salvaguardas tecnológicas Brasil-EUA
Authors: da Silva Oliveira Guilherme Tadeu Berriel
Published: August 2023

O termo “lawfare” expressa a utilização do Direito como instrumento para a obtenção de uma vantagem militar em substituição a um meio cinético tradicional. Trata-se de uma prática cada vez mais recorrente no mundo hodierno para legalizar e legitimar hostilidades, conquistar a opinião pública ou para alcançar objetivos sem os custos de uma operação militar. Contudo, a incipiente literatura sobre o tema carece de métodos e critérios para sistematizar tal prática. O objetivo geral do presente trabalho é investigar a aplicabilidade do conceito lawfare como modelo de análise factual. Nesse âmbito, possui o objetivo específico de reunir parâmetros teóricos existentes e investigar se o Acordo de Salvaguardas Tecnológicas Brasil-EUA consiste em prática de lawfare. Por meio de revisão da literatura, o artigo estabelece os principais conceitos e características do lawfare e analisa a prática estratégica do cerceamento tecnológico e o papel dos mecanismos jurídicos nessa questão. Após, por meio de coleta de dados primários e secundários, fornece um panorama sobre o AST e aplica os conceitos ao caso concreto. O trabalho constatou indícios da ocorrência da prática de lawfare no caso do AST e a utilidade do conceito para análise factual, embora seja necessário amadurecimento teórico e metodológico.
ESCOLAS-REFERÊNCIA DE ENSINO MÉDIO NO ESPÍRITO SANTO: UMA ANÁLISE ENVOLTÓRIA DE DADOS
Authors: Soares Denilson Junio Marques , Soares Talita Emidio Andrade , Santos Wagner dos
Published: August 2023

Este artigo objetiva identificar as escolas-referência de ensino médio do Espírito Santo, considerando o Ideb dessas unidades e indicadores educacionais de avaliação de contexto. Assume uma abordagem exploratória e quantitativa, por meio da aplicação da Análise Envoltória de Dados. Entre os resultados, observa-se que o desempenho das escolas analisadas poderia ser ampliado em até 22,6%, mantendo as mesmas características contextuais. Ademais, foram identificadas 18 unidades que podem ser assumidas como referências. Em sua maioria, estão localizadas na região central do Estado.
AUSTERIDADE FISCAL E REMUNERAÇÃO DOCENTE NO MUNICÍPIO DE CURITIBA – PR: DESVALORIZAÇÃO EM CURSO
Authors: Silva Marcus Quintanilha da
Published: August 2023

Toma-se como premissa de que a efetivação da carreira é fundamental para a constituição de um serviço público valorizado. Um de seus pilares é a remuneração, tema que constitui o objetivo principal deste artigo: analisar os efeitos da política de austeridade fiscal na remuneração dos profissionais do magistério no município de Curitiba-PR. Em uma perspectiva crítico dialética na análise de dados provenientes do Siope-FNDE, este trabalho converge para resultados de outras pesquisas acerca dos efeitos da austeridade: a contração de investimentos públicos é danosa para a classe trabalhadora.
(INDI)GESTÃO DEMOCRÁTICA E (DE)FORMAÇÃO DE GESTORES ESCOLARES POR AGENTES PRIVADOS
Authors: Flach Simone de Fátima , Lima Michelle Fernandes
Published: August 2023

Este texto tem por objetivo apresentar reflexões sobre a relação entre o princípio da gestão democrática e a formação de gestores escolares em municípios paranaenses que têm se curvado às propostas formativas de agentes privados. Para tanto, discute-se como o entendimento acerca da gestão, da gestão escolar e da gestão democrática pode interferir na qualidade da educação e como os agentes privados se apresentam ao poder público, assumem a formação dos profissionais da educação e se fortalecem. As análises, pautadas no materialismo histórico e dialético, demonstram que a intervenção privada na educação pública não ocorre sem intenções explícitas de reprodução ampliada do capital, sob a lógica de exploração da classe trabalhadora.
The Effects of Single, Janus, and Triple Functionalization of Gold Nanoparticles on Physicochemical Properties and Cellular Uptake
Authors: da Costa Lais Helena , Fornasier Franccesca , de Barros Débora , da Silva Nilton , da Costa José , Verçoza Brunno Renato , Rodrigues Juliany , Percebom Ana Maria
Published: August 2023

Combining direct targeting, enhanced cellular uptake, photothermal transduction capacity, and biocompatibility in the same system is a challenge to make the application of nanoparticles in biomedicine real. This study involves the functionalization of gold nanoparticles (AuNPs) in a few steps with strategic macromolecules to provide characteristics that are key to theragnostic agents. Polyethylene glycol (PEG) is hydrophilic and can improve nanoparticle stability and circulation lifetime. Polylactic acid (PLA) is a biodegradable hydrophobic polymer important to guarantee the interaction and uptake through the cellular membranes. Folate provides specific targeting because tumors usually overexpress folate receptor proteins. Single, double, and triple functionalization of spherical and rodlike AuNPs with these ligands provided different aggregation, stability, and plasmonic properties. Triple functionalization ensured simultaneous nanoparticle stability in an aqueous medium and enhanced cellular uptake. Infrared irradiation increased the temperature of gold nanorods more than of gold nanospheres due to the longitudinal surface plasmon resonance band. The results suggest that this functionalization strategy can be used to tune the desired properties for applications of gold nanoparticles, such as imaging and photothermal therapy in biomedicine research.
Şeker Mısırına Farklı Oranlarda İlave Edilen Yoncanın Silaj Kalitesine Etkisi
Authors: KARDEŞ Yusuf Murat , MUT Hanife , GÜLÜMSER Erdem
Published: August 2023

Türkiye’de hayvancılığın en büyük problemi, hayvan varlığının yüksek olmasına rağmen kaliteli kaba yemlerin yetersiz olmasıdır. Bu nedenle, farklı amaç doğrultusunda yetiştirilen bitkilerin de rasyonlara dâhil edilmesi gerekmektedir. Ekim alanı giderek artan şeker mısır, süt olum döneminde hasat edilmekte ve geriye %61-73 oranında yeşil aksam kalmaktadır. Geriye kalan bu yeşil aksam iyi bir silo maddesi olup, protein bakımından fakirdir. Bu çalışmada şeker mısıra ‘M’ farklı oranlar da eklenen yoncanın ‘Y’ (%100M, %100Y, %75M+%25Y, %50M+%50Y, %25M+%75Y) silaj kalitesine etkisi incelenmiştir. Silaj materyallerinde kuru madde oranı, pH, fleig skoru, ham protein oranı, organik asitler, nispi yem değeri (NYD), kalsiyum, potasyum, magnezyum ve fosfor, toplam fenolik, anti radikal aktivite, toplam flavonoid ve kondanse tanen içerikleri belirlenmiştir. En yüksek ham protein yalın yonca silajından (%26.74) elde edilmiştir. Fleig skorlarına göre, şeker mısır (99.69), %75M+%25Y (95.96) ve %50M+%50Y (90.45) karışım silajları için en yüksek değerler elde edilmiştir. Silajların NYD 87.74 ile 148.45 arasında değişmiştir. Laktik asit içeriği %1.94-3.47 arasında değişmiştir. Silajlar hayvan besleme bakımından önemli olan sekonder metabolit içeriği bakımından yüksek bulunmuştur. Tüm işlemlerin besin madde içerikleri ise hayvanların ihtiyaçlarını karşılayacak düzeyde olmuştur. Sonuç olarak, mısır silajına ilave edilen yoncanın silaj kalitesini iyileştirdiği belirlenmiştir. Ayrıca tüm özellikler göz önüne alındığında %75M+25Y karışımının diğer işlemlere göre daha iyi olduğu tespit edilmiştir.
Van Bölgesindeki Köpeklerde Giardia duodenalis Yaygınlığının Mikroskobik ve Moleküler Yöntemlerle Araştırılması
Authors: ERTAŞ OĞUZ Fatma , AYAN Adnan , ORUNÇ KILINÇ Özlem
Published: August 2023

Bu çalışmanın amacı, Van bölgesindeki köpeklerde bulunan Giardia duodenalis yaygınlığının mikroskobik ve moleküler yöntemlerle araştırılmasıdır. Çalışmanın hayvan materyalini 2020-2021 tarihlerinde Van ilindeki özel veteriner kliniklerine getirilen 0-3 yaş arası toplam 200 köpek dışkı örneği oluşturmaktadır. Köpeklerin rektumlarından dışkı örnekleri alındı ve soğuk zincirle laboratuvara getirildi. Giardia spp. yönünden mikroskobik inceleme gerçekleştirilip sonrasında 200 örneğin tamamından DNA ekstraksiyonu yapıldı. Çalışmaya ilgili primerlerle Nested PCR uygulandı. Çalışmanın mikroskobik sonucu 200 örnekte 12'sinde (% 6) iken Nested PCR sonucu ise 18 (%9)’inde Giardia spp. kistleri tespit edildi. Sonuç olarak Van ilinde köpeklerde Giardia spp. yaygınlığının moleküler olarak araştırılması ilk defa kayıt altına alındı. Ayrıca Nested PCR metodunun mikroskobik inceleme ile karşılaştırıldığında daha güvenilir olduğu görüldü. Araştırmanın verilerine göre köpeklerde Giardiasisin yaygın olduğu ve koruma kontrolleri için gerekli tedbirlerin alınması gerektiği rapor edildi.
1-Vinil 5-Heksenil Radikallerinin 6-endo Siklizasyon Ürününün Oluşumu için Hesaplamalı Reaksiyon Mekanizmasının İncelenmesi
Authors: FISTIKÇI Meryem
Published: August 2023

1-Vinil 5-heksenil radikallerinin reaksiyon mekanizması için hesaplamalı bir çalışma, yoğunluk fonksiyonel teorisi kullanılarak gerçekleştirildi. Sonuçlarımız, termodinamik olarak kararlı 6-endo-trig halka kapanma ürününün oluşumuna yönelik reaksiyonun hem 5-ekso-trig hem de 6-endo-trig halka kapanma modları üzerinden ilerleyebileceğini gösterdi. Ayrıca, hesaplamalarımız, 5-ekso-trig halka kapanma ara ürününün kararlı olması durumunda, 6-endo-trig halka kapanma ürününün oluşumundan 5-ekso-trig modun sorumlu olacağını gösterdi.
Çevresel Koşulların Termofilik Geobacillus kaustophilus’da Biyofilm Oluşumu Üzerinde Etkisi
Authors: ÖZDEMİR Fatma İnci
Published: August 2023

Bacilluslar farklı çevrelerde yaygın olarak bulunan ve spor oluşturan mikroorganizmalardır. Bu mikroorganizmaların gıda endüstrisi, ısıtma ve arıtma sistemleri gibi pek çok alanda önemli kontaminant oldukları ve bu sistemler içinde biyofilm tabakaları oluşturdukları bilinmektedir. Bu bakterilerin büyük çoğunluğu hem gıda sektöründe önemli indikatörler olmaları, hem de pek çok endüstriyel sistemde enerji kaybına sebep olduklarından dolayı oluşturdukları biyofilm yapılarıyla mücadele son derece önem taşımaktadır. Bu çalışmada termofilik bir mikroorganizma olan Geobacillus kaustophilus’un polistiren yüzey üzerinde biyofilm oluşumuna çeşitli çevresel faktörlerin etkisi araştırılmıştır. Bu bakteri polistiren yüzey üzerinde biyofilm oluşturarak en iyi tutunmayı 168. saatte gerçekleştirmiştir. Optimum biyofilm oluşumu için gerekli sıcaklık maksimum büyümenin gerçekleştiği 55 °C olarak tespit edilmiştir. En yüksek biyofilm oluşumu %5 glikoz ve %3 NaCl’ün ayrı ayrı varlığında gözlenirken, şeker ve tuzun birlikte en etkili konsantrasyonları sırasıyla %3 ve %1.5 olarak belirlenmiştir. %5 glukoz ve %3 NaCl oranında ise biyofilm oluşumu inhibe olmuştur. Isı şoku ve UV uygulanan hücrelerde ise tutunma gözlenmemiştir. SDS ve lizozim gibi hücre duvarını denatüre edici ajanların varlığı vejetatif hücrelerde biyofilm oluşumunu azaltmış/engellerken lizozim muamelesinin SDS’e oranla biyofilm oluşumunda daha etkili olduğu saptanmıştır.
The influence of Altitude on the Species Composition of Diving Beetles (Coleoptera; Adephaga; Dytiscidae) of Eastern and South Eastern Region of Turkey
Authors: AYKUT Medeni , TUĞAL İhsan
Published: August 2023

This study was carried out between 2013 and 2019 in five provinces located in Eastern and South Eastern Anatolian Region of Turkey. The dytiscid specimens were collected from a total of 226 sampling sites that altitudes varied between 500 and 2,700 meters. The 226 sampling sites were classified into one of six altitudinal levels defined by semi open intervals with amplitude of 300 m. A total of 45 species belonging to the family Dytiscidae were identified. A detailed ecological analysis related to altitude is made by means of the distribution of 45 identified species. The richness of species was analyzed at different altitudinal levels. The indicator species were determined by establishing their altitude profile in terms of reciprocal species-factor information. The species density is highest in altitudinal level 2 (800-1100m) and is gradually decrease by increasing of altitudinal level. Ten representative species are placed into three groups: species occurring at high altitude; species present at low altitude and species occurring along the entire altitudinal gradient.
Predicting cyanobacteria abundance with Bayesian zero-inflated models
Authors: Zhang Yirao , Peleato Nicolas M.
Published: August 2023

Cyanobacterial blooms are a persistent concern to water management and treatment, with blooms potentially causing the release of toxins and degrading water quality. However, previous models have not considered the zero inflation of cyanobacteria count data. Typically, a relatively large proportion of measured count data are zeros or non-detects of cyanobacteria, representing either no cyanobacteria was present or the cell number was too low to be detected. Commonly used Poisson and negative binomial models for count data underestimate the probability of zero data, making these models less reliable. This study proposes a Bayesian approach to fit the cyanobacteria abundance data with mixture models that handle zero-inflated data. Predictor variables considered included weather and water quality measures that can easily be obtained day-to-day. The optimal model (zero-inflated negative binomial) was used to predict cyanobacteria alert levels on a separate test set. The ability to predict narrow alert levels was limited, however, 76% accuracy was achieved in predicting cyanobacteria counts above or below 1,000 cells/mL. Parameter estimates were highly variable and demonstrated that complex and uncertain factors influence cyanobacteria count predictions. The modelling approach can be applied to a wide range of environmental problems where zero-inflated data is common.
Advancements in saline water treatment: a review
Authors: Somashekar V. , Anand A. Vivek , Hariprasad V. , Elsehly Emad M. , Kapulu Mofwe
Published: August 2023

The growing population and increasing water demand necessitate exploring alternative sources of water, including saline water. Saline water treatment technologies have undergone significant advancements in recent years, enabling the production of potable water from seawater and brackish water. This review provides an overview of the current state of saline water treatment technologies, including desalination and membrane-based processes. The advantages and limitations of each technology and their suitability for different applications are discussed. Recent advancements in materials and techniques that have led to improvements in energy efficiency, productivity, and cost-effectiveness of these technologies are highlighted. Finally, the future directions and challenges in the field of saline water treatment are outlined.
Performance of a right-triangle stilling basin: a laboratory investigation
Authors: Rabiei Asma , Mohammadzadeh-Habili Jahanshir , Chadee Aaron Anil , Zomorodian Seyed Mohammadali , Jameel Mohammed , Azamathulla Hazi Mohammad
Published: August 2023

One of the most used hydraulic structures for energy dissipation of supercritical flow is the hydraulic jump stilling basin. From dimensional analysis, the sequent flow depth ratio of a hydraulic jump over the right-triangle basin is derived as a function of the inflow Froude number and relative length of the basin front. The proposed structure stabilized the hydraulic jump at the toe of the chute spillway and hydraulic jump characteristics were investigated for the Froude number ranging from 4.4 < F1 < 7. The results obtained from both numerical and experimental simulations yielded increased efficiency in the energy dissipation performance of this novel design. The modeling showed the formation of two large recirculation regions at the jump roller and jump bed at the beginning of the downstream channel, which resulted in intense energy dissipation in the right-triangle basin. The relative energy loss is approximately 37% higher for relative basin front lengths larger than three compared to the classic jump. Practitioners and academia on the usefulness of a right-triangle basin for hydraulic purposes and further experimental tests are needed to estimate the scalability and cost–benefit of this modified system for implementation.
Corporate Governance Reforms: A Critical Review
Authors: Santosh Kumari  , Aman Agarwal
Published: August 2023

After the slew of reforms introduced during the 1990s, not much could be done as the corporate scams and scandals still continued.However, the financial crisis of 2008 and the Satyam scandal came as an eye-opener for the government, only after which there werenumerous reforms undertaken. “Minimum Government, Maximum Governance” is the philosophy that has shaped the policies andreforms on corporate governance in India in recent times. The issue of corporate governance policies and disclosure requirements thatcould lead to good corporate governance has always been hotly debated. Schools of studies have been conducted to bring out the impact ofreforms and policies on the firms, yet it still remains one of the widely studied areas and this paper itself is one such addition to the existingliterature. The disclosure requirements have changed tremendously in the era of corporate governance reforms. This study is an effort tocritically evaluate the major reforms undertaken in India over the years in the field after the 2008 Financial Crisis and the changes thathave occurred to develop a more robust and transparent disclosure of corporates’ financial position.
Problems and Prospects of Women Entrepreneurship in India with Special Reference to the North- East Region
Authors: Amrendra Kumar
Published: August 2023

In the 21st century, women have come forward to make their contribution to the economic development of India. Many women are runningenterprises successfully through their managerial qualities, commitment, and creativity. Women entrepreneurs have overcome economic and social restrictions. Entrepreneurial activities have helped them to be financially independent and confident. But stillwomen's participation in entrepreneurship is very low in India. There are numerous social, economic, and cultural restrictions thatwomen entrepreneurs have to face. The paper examines the status of women entrepreneurship in North- East India. It also highlights thechallenges faced by women entrepreneurs in the North-East region of India.