bluuebunny/crossref_metadata_2025 huggingface dataset:
El papel de las políticas públicas en el apoyo a las "startups" en ecosistemas emprendedores emergentes
Authors: Pardo-del-Val Manuela , Cerver-Romero Elvira , Martínez-Pérez Juan Francisco , Mohedano-Suanes Antonia
Published: February 2025

El crecimiento de las "startups" y su paso a "scaleups" es un proceso complejo, estrechamente ligado al ecosistema emprendedor en el que se originan y prosperan. El objetivo de esta investigación es señalar los ámbitos políticos clave para abordar los retos a los que se enfrentan las "startups" en su crecimiento dentro de un ecosistema emprendedor emergente. Los resultados concluyen con una serie de medidas de políticas públicas, que se clasifican en tres grandes áreas: mejorar la disponibilidad de talento, promover las oportunidades de creación de redes de contactos y reforzar la cultura emprendedora de la región.
Nomadismo digital: ¿una oportunidad para la internacionalización de las empresas locales?
Authors: Oropesa-García Daniel , García-Cabrera Antonia Mercedes
Published: February 2025

El presente trabajo analiza el posible impacto positivo que la localización de nómadas digitales en un territorio puede tener en las empresas locales existentes en el mismo, particularmente en términos de internacionalización empresarial. Para llevar a cabo el estudio, se recaba información a partir de un panel conformado por siete nómadas digitales asentados en la isla de Gran Canaria (España) y se examinan las interacciones profesionales que mantienen con las empresas locales. Los resultados muestran que tales interacciones profesionales derivan en oportunidades de expansión internacional para las empresas locales y que tal impacto se relaciona con el aumento del capital relacional que logran las empresas locales a partir de su relación con los nómadas digitales.
Fact-checking automation
Authors: Larraz Irene , Salaverría Ramón , Serrano-Puche Javier
Published: February 2025

This article explores the adoption of artificial intelligence-driven automation tools in fact-checking newsrooms, focusing on their potential to enhance verification efficiency and reach. Using digital ethnography and semi-structured interviews with executives, journalists, and engineers from Duke Reporters' Lab (USA) and Full Fact (UK), the study examines the motivations for adopting these tools, their impact on fact-checking practices, perceived benefits, user attitudes, and measurable outcomes. Findings reveal significant variations in approaches and results across newsrooms, underscoring ongoing challenges in implementing automation tools within complex workflows. This work advances understanding of automation’s role in fact-checking and offers insights for future research.
When Past Meets Present: Transference, Art, and Affectivity in Reflexive Research
Authors: Michaels Debbie
Published: February 2025

This article reflects on emergent findings from an interdisciplinary practice-based doctoral research project situated in the fine arts. Grounded in artistic practices of ‘making’, and weaving in approaches from psychoanalysis and art psychotherapy, the author explores what happens when things are moved from one context to another and how meaning is continually (un)made and (re)made over time through returning to revisit and respond to material ‘made’ in the past as it meets the stuff of new situations in the present. Emphasising the affective ‘work’ of art-as-research, attention is drawn to sites of ‘making’ as reflexive spaces for imaginative encounter, performative enactment, and working through, where understanding emerges through the affective work of moving, (re)assembling, and (re)configuring diverse practices and materials, the interweaving of dialogues, and the negotiation of tensions and resistances encountered at the borders between different domains. Claiming a position in the broad area of reflective practice(s) the research amplifies the significance of ‘transference’ as a reflexive method of enquiry, and the creative potential of art as a performative research practice; pushing beyond more conventional ideas of reflection and reflexivity in its capacity to embrace complex relationalities, and engage affective, ethical, sensibilities through the moving, modifying, and handling of ‘stuff’.
The Potential Impact of Flower Characteristics and Pollen Viability of Four Industrial Hemp (Cannabis sativa L.) Grain Varieties on Cross-Pollination
Authors: Dingha Beatrice N. , Jackai Louis E.
Published: February 2025

Industrial hemp (Cannabis sativa L.) is primarily a dioecious plant, and monoecious varieties have been developed for high yield. Production practices vary for each variety, prompting the need for the present study to describe the floral characteristics and evaluate pollen quantity and viability of monoecious and dioecious hemp varieties. All four hemp varieties, Henola, CFX-2, Canda, and Joey, have five lanceolate anthers, basifixed to a threadlike filament. Anther length was significantly different among varieties, but not anther width. The longest length (0.38 ± 0.046 cm) was recorded in Henola, and the shortest (0.34 ± 0.043 cm) in CFX-2. Anther width ranged from 0.088 ± 0.0024 to 0.095 ± 0.0021 cm. Pollen grains were triporate and spheroidal in shape and size and differed significantly, with the largest in Joey (27.83 ± 0.78 µm) and Henola (27.489 ± 0.99 µm), and smallest in Canda (22.04 ± 0.56 µm). The number of pollen grains per flower differed significantly among varieties, ranging from 29,183 in Henola to 104,548 in Joey. Even though Henola recorded the lowest pollen number, it had the highest percentage (69.3%) of viable pollen after 24 h of storage 4 °C and Canda had the lowest (54%). Three weeks after storage at the same temperature, pollen viability decreased for all the hemp varieties and ranged from 52% to 58%. There was a moderate, positive and significant relationship (r = 0.496) between anther length and the number of pollen grains in Joey. The relationship in Henola was moderate and non-significant (r = 0.356), and it was weak and non-significant in Canda (r = 0.188) and in CFX-2 (r = 0.037). The findings from this study provide information for growers and researchers on hemp breeding and cultivation practices that may contribute to the prevention of cross-pollination.
Exploring Local Attitudes Towards Sustainable Tourism Development and Community Resilience in Skadar Lake and Durmitor National Parks, Montenegro: A Socio-Demographic Analysis
Authors: Manojlović Brankica , Cvetković Vladimir M. , Renner Renate , Grozdanić Goran , Perosevic Nenad
Published: February 2025

The study examines the attitudes of local residents toward the impacts of sustainable tourism development in two national parks in Montenegro—Skadar Lake National Park (NP) and Durmitor National Park (NP). The aim is to identify the key factors shaping these attitudes and to determine the differences in perceptions between residents of these two areas. The research is based on the assumption that socio-demographic characteristics, such as gender, age, and level of education, significantly influence attitudes toward sustainable tourism development. Data were collected through a questionnaire covering a wide range of attitudes toward tourism. Analyses were conducted using multiple regression analysis, one-way analysis of variance (ANOVA), and Pearson’s correlation, with careful verification of all key statistical assumptions to ensure the validity of the results. The findings reveal significant differences in perceptions between residents of NP Skadar Lake and NP Durmitor. Respondents from NP Durmitor generally rated both the positive and negative aspects of tourism higher compared to those from NP Skadar Lake. On the other hand, residents of NP Skadar Lake exhibited greater enthusiasm for tourism promotion and engagement in tourism development processes. It was concluded that socio-demographic characteristics, particularly education and age, are key factors influencing attitudes toward tourism. These findings provide a basis for formulating recommendations to improve tourism development, which should take into account the specific needs and perceptions of local communities in both national parks.
Role of polyunsaturated fatty acids in the development and progression of atopic dermatitis
Authors:   Federal Research Centre of Nutrition, Biotechnology and Food Safety, Moscow, Russian Federation, Revyakina V.A. , Tarmaeva N.A. ,   Federal Research Centre of Nutrition, Biotechnology and Food Safety, Moscow, Russian Federation
Published: February 2025

Objective. To justify the relevance of investigating atopic dermatitis (AD) from the position of the influence of nutritional factors on it.
Materials and methods. Literature sources on the prevalence, diagnostic criteria, risk factors for AD and the role of polyunsaturated fatty acids in this disease for the period 1980–2024 were collected from Elibrary, PubMed and MedLine databases and analyzed using an expert-analytical approach.
Results. Data from numerous studies indicate the influence of various risk factors on the development of AD: sex, age, ethnicity, lifestyle and nutrition, climate, ecology, diagnostic criteria, and others. The ratio of ω-6 and ω-3 polyunsaturated fatty acids in the diet plays a significant role in the mechanisms of AD development. In recent decades, human dietary patterns have undergone profound changes under the impact of increasing urbanization. Different dietary components shape dietary habits and preferences, modeling further effects associated with the risk of developing several chronic diseases, including AD.
Conclusion. A combination of unfavorable risk factors leads to the development of AD. The data obtained confirm the relevance of elaborating treatment methods for this disease, aimed at improving the quality of life of AD patients.
Key words: polyunsaturated fatty acids, atopic dermatitis
Infantile colic: facets of the problem
Authors:   Research Clinical Institute of Childhood, Moscow, Russian Federation, Khavkin A.I. ,   Belgorod State National Research University, Belgorod, Russian Federation, Magamedova M.M. ,   Saint Petersburg State Pediatric Medical University, Saint Petersburg, Russian Federation, Novikova V.P. ,   Saint Petersburg State Pediatric Medical University, Saint Petersburg, Russian Federation
Published: February 2025

This literature review is devoted to the issue of infantile colic. The problem of infantile colic is relevant in pediatrics, despite the seventy-year history of its study, if we consider as a starting point the article by American pediatrician Morris Wessel, published in 1954 in the journal “Pediatrics”, in which he proposed a well-known “rule of threes”. This review critically analyzes the current definitions of infantile colic, including the Rome IV criteria. It details the causative factors for infantile colic, as well as several specified pathogenetic mechanisms. Special attention is paid to therapeutic strategies, both traditionally accepted and based on the principles of evidence-based medicine. The experience with prebiotics and probiotics and special formulas with modified protein, carbohydrate, and fat composition, enriched with galacto- and fructo-oligosaccharides, is discussed.
Key words: infantile colic, motilin, serotonin, calprotectin, low-grade inflammation, oligosaccharides, probiotics
Monogenic short stature due to a mutation in the SRCAP gene (Floating-Harbor syndrome): a clinical case report
Authors:   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation, Dobrova A.V. , Gromova O.I. ,   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation, Vykhristyuk O.F. ,   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation, Demina E.S. ,   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation,   Russian Children’s Clinical Hospital, Branch of Pirogov Russian National Research Medical University, Moscow, Russian Federation, Petryaykina E.E. ,   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation,   Russian Children’s Clinical Hospital, Branch of Pirogov Russian National Research Medical University, Moscow, Russian Federation, Sharibzhanova E.M. ,   Russian Children’s Clinical Hospital, Branch of Pirogov Russian National Research Medical University, Moscow, Russian Federation, A.N.Tiulpakov A.N. ,   Russian Children’s Clinical Hospital, Branch of Pirogov Russian National Research Medical University, Moscow, Russian Federation,   N.P.Bochkov Research Centre for Medical Genetics, Moscow, Russian Federation
Published: February 2025

Floating-Harbor syndrome (FHS) is an extremely rare orphan pathology. The disease is characterized by a dominant mode of inheritance and presents with short stature, delayed bone age, delayed speech development and distinctive facial features. FHS is caused by pathogenic variants in exons 33 and 34 of the SRCAP gene. This article presents a clinical case of FHS in a 6.5-year-old boy. The manifestations of facial dysmorphism included dolichocephaly, high forehead, frontal bossing, flat face, smooth brow ridges, short nose, antimongoloid slant, mild ptosis, thin upper lip, and low-set ears. The diagnosis was made by whole genome sequencing, revealing a heterozygous variant in the SRCAP gene (NM_006662.3:c.7245_7246delAT), described previously in FHS. This clinical case emphasizes the role of molecular genetic testing in the differential diagnosis of syndromic forms of short stature.
Key words: SRCAP gene; short stature; whole genome sequencing; Floating-Harbor syndrome
The Impact of Adolescent Idiopathic Scoliosis on Pregnancy
Authors: Serhan Karolina A. , Abraham Vivek M. , Shirley Eric D.
Published: February 2025

➢ Physiologic changes during pregnancy alter the biomechanics of the spine, including increased ligamentous laxity, lumbar lordosis, and pelvic tilt.

➢ Patients with adolescent idiopathic scoliosis treated with a fusion construct with the lowest instrumented vertebra of L3 and below have an increased risk of developing low back pain during pregnancy.

➢ There is a low risk of curve progression during pregnancy for patients with adolescent idiopathic scoliosis treated with spinal fusion.

➢ Although neuraxial anesthesia is possible in patients who had previously undergone spinal fusion for adolescent idiopathic scoliosis, successful placement may require a more experienced provider and more attempts to place the epidural.
Almacenamiento de carbono en suelos con sistemas forestales de pino y eucalipto en el centro poblado de Lucma, Cusco-2022
Authors:   , Bocangel Medina Yul
Published: February 2025

El almacenamiento de carbono en los suelos es un proceso en la mitigación del cambio climático, ya que los suelos actúan como sumideros de carbono al retener grandes cantidades de este elemento. Por ello, el presente estudio se centra en comparar el almacenamiento de carbono en suelos con sistemas forestales de pino (Pinus patula) y eucalipto (Eucalyptus globulus) en el centro poblado de Lucma, Cusco-2022. Mediante una metodología de tipo aplicado, diseño experimental, alcance explicativo; realizando un análisis inferencial estadístico en una población total de 1 hectárea (ha) de suelo para el sistema forestal de pino y otra para eucalipto. se tomaron 27 muestras por cada sistema forestal para determinar la densidad aparente (DA), 9 muestras por zona (alta, media y baja) a profundidades de 0-10 cm, 10-20 cm y 20-30 cm. Para el caso de las propiedades físicas, químicas y materia orgánica, se extrajeron 9 muestras compuestas por sistema forestal empleando el método del cuarteo homogeneizando por cada zona según la profundidad. De acuerdo a los resultados se evidenció que existe una tendencia general en la que P. patula, almacena más carbono en el suelo que E. globulus en todas las zonas y profundidades analizadas. La mayor diferencia se observa en la zona media a 0-10 cm, donde P. patula alcanza 5.43 tC/ha-1, superando notablemente a E. globulus con 2.14 tC/ha-1. El almacenamiento de carbono varía según la ubicación y la profundidad, por lo que es clave considerar estos factores y el tipo de árbol al evaluar la capacidad del suelo para retener carbono.
Selected Recommended Practices for Increasing the Efficiency and Accuracy of CO2 Sequestration Models
Authors: Benavides J. , Cherry A. , Dindoruk B. , Shukla S.
Published: February 2025

Computer simulation has become widely used to predict the life of CO2 plumes resulting from planned subsurface sequestration schemes. The process is very similar to what has been done in the oil and gas industry for decades; however, while reservoir simulations can be “history matched” to real-world performance, analog data are mostly missing to calibrate proposed CO2 project models. Therefore, it is critical to attempt to understand the impact of the various “default” input parameters that are often used in CO2 sequestration models. With this paper, we attempt to highlight potential enhancements in the modeling process that can lead to improved accuracy of predictions.

Many CO2 screening investigations use simple homogeneous block models in place of utilizing more complex realistic geologic models. Comparisons between homogeneous models of porosity and permeability with simple stochastically generated porosity and permeability (having the equivalent average values) could make significant differences. The use of black-oil models instead of compositional models will be investigated as a method to improve time efficiency, allowing the investigation of more “what-if” scenarios. Guidelines for simple calibration of a black-oil model to a compositional model are also presented.

The importance of residual phase trapping as a potential primary trapping mechanism in addition to structural and stratigraphic trapping will be investigated. While including parameters for residual trapping, too often, default values in simulation tools are used without recognizing the high variability of these parameters, especially considering the laboratory-based observations for some of them. Several scenarios are presented that highlight the importance of these uncertainties.

Endpoint values of relative permeability curves can have significant effects on plume geometry and are modeled in various scenarios. Critical gas saturation is often overlooked in the modeling process. This value is often defaulted to an unrealistically low value that can lead to “runaway” low saturation plumes when models are run for extended periods (as required by government regulations). Critical gas trapping at the edge of plumes can be an often overlooked additional trapping mechanism.
Modeling and Prediction of Sustained Casing Pressure of High-Pressure and High-Temperature Gas Wells during Production Operations
Authors: Ding Liangliang , Li Shuai , Lian Zhanghua , Wei Zhiqiang , Qi Jun , Tang Zhengwei
Published: February 2025

To accurately predict the sustained casing pressure resulting from tubing leakage in high-pressure and high-temperature (HPHT) gas wells during production operations, we developed a predictive model that incorporates the effects of tubing leakages, wellbore temperature changes, and multiannulus interactions. First, we determined the thermodynamic parameters of the annular liquid through a combination of experimental and computational methods. Next, we formulated a transient model to predict wellbore temperature and pressure. Then, we analyzed the coupling relationship between tubing leakages, wellbore temperature changes, and multiannulus interactions, and proposed an equation to calculate the sustained casing pressure. Finally, to illustrate the significance of coupled effects of multiple factors, we conducted a comparative case study using both the new model, which incorporates these effects, and the existing model, which considers only the tubing leakage. The characteristics of the sustained casing pressure were analyzed, and a sensitivity analysis was performed. The results show that, compared with measured data, the average error of the new model was 9.2%, which was much lower than the existing model’s 21.6%. The increase rate and maximum value of the annular pressure obtained by the new model were higher than those of the existing model. When the equivalent diameter of the leakage point was less than 0.65 mm, the coupled effects of multiple factors had a more pronounced impact on the sustained casing pressure. Optimizing the annular liquid density proved to be a more economical and effective method for mitigating the sustained casing pressure. This model offers valuable technological support for the prediction and analysis of the sustained casing pressure during production operations.
Comparison of the Effectiveness of CO2 and Hydrocarbon Gas for Shale Huff ’n’ Puff
Authors: Guo Yujia , Shi Yue , Mohanty Kishore
Published: February 2025

The gas huff ’n’ puff (HnP) technique holds great potential for enhancing oil recovery from shale reservoirs following primary recovery. Both CO2 and hydrocarbon (HC) gases are commonly considered for HnP processes, each offering distinct advantages and disadvantages. In this study, we propose a novel experimental approach to systematically evaluate the enhanced oil recovery (EOR) potential of different injectants in shale cores and the potential carbon storage capacity for CO2 HnP. The HC gas mixture utilized consists of 72% methane (C1), 16% ethane (C2), and 12% propane (C3), closely mirroring the composition of available HC gas in oil fields. In each test, shale cores were first saturated with the dead oil, and then high-pressure methane diffusion was utilized to make in-situ live oil. Primary recovery was performed before HnP cycles. Next, six cycles of gas HnP were conducted with a huff pressure of 6,000 psi, a soaking time of 24 hours, and a puff pressure of 2,000 psi. The huff pressure was selected to be much higher than the calculated minimum miscibility pressure (MMP) to enable the development of miscibility of injected gases with the oil in the matrix. The EOR performance of each injectant was evaluated by analyzing oil recovery through nuclear magnetic resonance (NMR), core mass measurements, and effluent fluid collected at each step. The produced gas and liquid effluent were carefully collected and analyzed by gas chromatography (GC) analysis. The experimental results revealed that both CO2 and HC gas enhance oil recovery from the studied shale cores. After six cycles of HnP process, oil recoveries reached 84% for CO2 and 74% for HC gas. Oil recovery efficiency was about 58 STB/MMscf of gas injected. NMR results confirmed that most of the injected oil could be extracted after six cycles of gas injection. However, incremental oil recovery decreased significantly with each subsequent cycle for both gases. In addition, oil produced in later cycles generally had a higher fraction of heavy HC components, as evidenced by density measurements and GC analysis. CO2 can be stored in the pore space of the shale matrix, with up to 1.56 kg/ft³ of the shale bulk volume if the production is ceased in the final HnP cycle.
Self-Belief in Creative Fluency Mediates the Association between Life Satisfaction and Optimism Among Adults in Japan: Insights from an Online Survey and Case-Control Workshop
Authors: Kabir Russell Sarwar , Uehara Soshi , Walter Brett Raymond , Hihara Shogo
Published: February 2025

Background: In the context of Japan, beliefs about individual creativity are low. Studies rarely account for multiple factors of creativity or provide brief-session applications.
Methods: The present study (1) examines associations between originality and fluency as distinct sources of variation in self-beliefs of satisfaction with life (SWLS) and optimism (LOT-R) in an observational study design of national survey panel participants recruited during the COVID-19 pandemic (n=880; 401 females; Mage=38.12, SD=4.67), and (2) performs a quasi-experimental comparison of scores taken with emerging adults participating in a three-hour, intercultural creativity-based workshop featuring 15 U.S. and 25 undergraduate students from Japan.
Results: Results indicated correlational support for the two subscales of the Reisman Diagnostic Creativity Assessment (RDCA): originality (life satisfaction: r=.24; optimism: r=.29, ps <.001) and fluency (SWLS: r=.29; LOT-R: r=.31, ps <.001). Mediation analysis revealed unique support for the RDCA factor of fluency (β=0.15, p=.003) over originality (β=-0.03, p=.481) as a parallel mediator for the association between optimism and life satisfaction. Case-control comparison revealed that mean factor scores of survey participants for originality were comparable to creative self-assessments after the intercultural workshop (d=.110, p=.569), but fluency scores were numerically higher and statistically significant (d=-.444, p=.026), in favor of the workshop participants.
Conclusions: These findings suggest that the specific creative tendency to generate many ideas is relevant to well-being outcomes and might be shaped by educational settings for adults in Japan, offering implications for instructional designers targeting creative self-efficacy.
Rising Burden of Oral Disorders: The Impact of Social and Commercial Determinants on the Unequal Increase of Disease Burdens Across Global, Regional and National Contexts
Authors: Lai Yongqiang , Li Ye , Liu Xinwei , Shi Yuanxiang , Qu Fangqi , Zhang Xiyu , Shi Baoguo , Wang Xiaohe , Sun Tao , Huang Xianhong , You DingYun
Published: February 2025

Background
In 2020, the World Federation Dental highlighted the importance of oral health in "Vision 2030," noting the widespread impact of oral disorders, which affected 3.5 billion people in 2019. Despite their prevalence, these disorders are often overlooked in healthcare due to their non-life-threatening nature. This study evaluates the global, regional, and national burden of oral disorders from 1990 to 2021, providing insights for future oral health policies and addressing inequalities.
Methods
We analyzed data from the GBD 2021 database, examining incidence, prevalence, and DALYs of oral disorders from 1990 to 2021. We calculated age-standardized rates, Estimated Annual Percentage Change (EAPC), and percentage changes across super-regions, genders, SDI groupings, and 204 countries or territories. The Age-Period-Cohort model explored temporal burden differences, while the Geographically Weighted Regression model assessed the impact of social and commercial health determinants on ASIR.
Results
In 2021, global DALYs due to oral disorders reached 23.24 million, with 3.7 billion prevalent cases. The global ASDR and ASPR showed slight decreases, but ASIR increased. Sub-Saharan Africa experienced significant rises in DALYs, incidence, and prevalence. Edentulism accounted for 41.3% of DALYs worldwide. Middle SDI countries showed a rapid increase in disease burden, with children most affected. Social and commercial health determinants, notably smoking and sugar intake, considerably impacted LMICs more than HICs.
Conclusion
Oral disorders affect approximately 3.7 billion people globally, with LMICs experiencing doubled burdens. Vulnerable groups include children and the elderly, exacerbated by socio-economic disparities and commercial determinants. LMICs must enhance dental resources, integrate oral care into primary healthcare, and counteract commercial influences to ensure optimal oral health.
Modeling climate change impact on Runoff in the Upper Birbir Sub Basin, Western Ethiopia
Authors: Iticha Mekonen Merga , Ayana Mekonen
Published: February 2025

This study explores the potential effects of climate change on runoff in the upper Birbir sub-basin of Western Ethiopia. Utilizing the Coordinated Regional Climate Downscaling Experiment (CORDEX)-Africa data from the Hadley Global Environment Model 2-Earth System (HadGEM2-ES), we made future projections under two Representative Concentration Pathway scenarios, RCP4.5 and RCP8.5, for the mid-term (2041–2070) and long-term (2071–2100). To evaluate data trends at a 5% significance level, we employed the Mann-Kendall (MK) trend test alongside Sen's estimators. For simulating future stream flow based on projected climate variables, we used the Hydrologiska Byråns Vattenbalansavdelning (HBV) model. The simulations of future runoff under climate change scenarios reveal that rainfall, with the exception of at the Yubdo station, tends to increase, while temperatures exhibit a warming trend. Runoff is expected to decrease in winter and spring but rise during the summer and autumn, largely following rainfall patterns. In the mid-term, we project an annual average runoff decrease of 2.05% and 1.35% under RCP4.5 and RCP8.5, respectively. Long-term runoff projections indicate a decline of about 0.03% under RCP4.5 and 2.0% under RCP8.5. The findings of this study are intended to assist decision-makers in mitigating the impacts of climate change and in the sustainable use of water resources for irrigation projects and other applications, while also considering the health of riverine ecosystems.
LocoTrackAI: advanced convolutional neural network-based tool for monitoring locomotor activity in dengue-infected Aedes aegypti mosquitoes
Authors: Javed Nouman , López-Denman  Adam J. , Paradkar  Prasad N. , Bhatti Asim
Published: February 2025

Monitoring the locomotor activity of mosquitoes is vital for understanding their behavioral patterns and role in disease transmission. Studies investigating the locomotor activity of dengue-infected mosquitoes have faced several limitations, including confining mosquitoes within small tubes that restrict natural movement, discontinuous recordings that fail to provide detailed activity patterns, and the lack of open-source tools to effectively monitor mosquito locomotor activity. Here, we present LocoTrackAI, a robust artificial intelligence-based tool that leverages a convolutional neural network (CNN) and a multi-object tracking algorithm to comprehensively analyze the locomotor activity of Aedes aegypti mosquitoes from videos recorded using standard laboratory cages. LocoTrackAI automatically processes video datasets, tracks individual mosquito identities, and provides detailed locomotion results for both individual mosquitoes and group activity, including spatial distributions, movement patterns, heat maps, and activity ratios. The tool features a Skip Frame function to improve computational efficiency, adjustable movement thresholds for customized sensitivity, and a user-friendly interface that supports unsupervised batch processing, ensuring accuracy and flexibility for diverse research applications. The LocoTrackAI achieved 99.91% accuracy with a low centroid detection error of 0.22 pixels across 36,020 frames and demonstrated a 93.23% success rate in reassigning identities during 207 post-occlusion instances. Using LocoTrackAI, we analyzed the locomotor activity of dengue-infected and noninfected mosquitoes across 3.24 million recorded mosquito positions. Results revealed that infected mosquitoes exhibited significantly higher locomotor activity (p = 0.0009), with 95,726 movements (0.30 mean locomotor activity) compared to 42,173 movements (0.13 mean locomotor activity) in noninfected mosquitoes, representing more than 200% of the activity of noninfected mosquitoes. Additionally, spatial analysis indicated a more extensive and uniform distribution for infected mosquitoes, with entropy values of 3.38 for infected and 3.13 for noninfected mosquitoes. These findings suggest that dengue infection increases locomotor activity and spatial exploration, potentially enhancing the mosquitoes' capacity to locate hosts and spread the virus. Future studies could expand on this work by investigating the locomotor effects of other arboviruses and further developing tools to automate the analysis of feeding and other critical behaviors.
Impact of Nano-Fluids in Turning of Ti6Al4V under Different Side Rake and Clearance Angles
Authors: Patil Amit
Published: February 2025

Titanium Alloy grade 5 is a magnificent material in the Aerospace, Automotive, and Shipbuilding industries. It has high strength and low weight tendency, making it more reliable in defence-related industries. The poor heat-carrying capacity of this material influences the cutting tool performance through thermal degradation, making it difficult to shear. Mainly Phase alteration generates strain hardening which, implies the poor machinability index. This study investigates the impact of nanofluid coolants, side rake angle, and clearance angle on the machinability of Titanium Alloy 5 during turning operations. Using a constant cutting speed 65 m/min, depth of cut 0.5 mm, and feed rate 0.28 mm/rev under an envelope of three nano-fluids were evaluated along with varying tool angles. The cylindrical surface finish and tool wear, analyzed to measure the performance of the experimental research. Furthermore, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) analysis identified the optimal parameters for enhanced machining at a side rake angle of 150 clearance angle of 120 and Graphene oxide based nanofluid coolant. Graphene oxide nanoparticles act as good heat carriers and reduce the detrimental effect of thermal degradation on machining performance. These findings improve the turning efficiency and cylindrical surface finish with the least tool wear. The experimental investigation gives optimised parameters like side rake angle 150, clearance angle of 120 with Graphene oxide added nanofluid coolant proves to get superior performance in Titanium alloy grade 5 turning operation.
Korrelation zwischen Histologie und Klinik bei der Adenomyosis uteri – eine retrospektive Analyse
Authors:   , Gökduman Aynur
Published: February 2025

Für eine effektive Beurteilung des Behandlungserfolgs und des Krankheitsverlaufs bei Patientinnen mit Adenomyose ist es ratsam, Faktoren wie das Alter, den Body-Mass-Index (BMI) sowie die gleichzeitige Behandlung gynäkologischer Begleiterkrankungen in Betracht zu ziehen und gegebenenfalls anzupassen. Ziel ist es, durch diese Berücksichtigung den Behandlungsprozess positiv zu beeinflussen und die Lebensqualität der betroffenen Frauen zu erhöhen.
Es wurde keine eindeutige Korrelation zwischen der histologischen Ausbreitung endometrialer Drüsen und Stroma im Myometrium und den daraus resultierenden klinischen Symptomen sowie der Fertilität nachgewiesen. Diese Erkenntnis unterstreicht die Komplexität der Erkrankung und die Notwendigkeit einer individuellen, umfassenden Behandlungsstrategie, die über die reine Betrachtung histologischer Befunde hinausgeht.
Pengaruh Model Pembelajaran Teams Games Tournament (TGT) Berbantuan Q-Cardsox terhadap Kemampuan Pemahaman Konsep Matematis Siswa Kelas VII
Authors: Sulaiman Alfin , Rahmawati Fadhilah , Pradanti Paskalia
Published: February 2025

The low ability to understand mathematical concepts among SMPN 4 Magelang students is caused by the model and media used in learning. The purpose of this study is to analyze student learning completeness and determine which learning model is better between the Teams Games Tournament (TGT) model assisted by Q-Cardsox media and the direct learning model based on students' mathematical concept comprehension abilities. This research is a quantitative approach with a quasi-experimental type of research and uses a post-test only control group design. Samples were taken using the cluster random sampling technique, resulting in VII C as the experimental class and VII F as the control class, each consisting of 30 students. The research results show that the students' ability to understand mathematical concepts taught using the direct learning model did not achieve classical completeness. Meanwhile, those taught using the Teams Games Tournament (TGT) model assisted by Q-Cardsox achieved classical completeness. The ability to understand mathematical concepts of students taught with the Teams Games Tournament (TGT) model assisted by Q-Cardsox is better than the ability to understand concepts of students taught with the direct learning model.
A Psicoeducação associada à Ludoterapia para o tratamento do medo de agulhas em crianças atendidas pelo setor de pediatria em um hospital de Foz do Iguaçu/PR
Authors: CABANHA Aline Almeida , CABANHA Samuel
Published: February 2025

O presente relato de experiência resulta de um projeto de extensão (projeto integrador) do Centro Universitário União das Américas (Uniamérica). A área de atuação prática foi a Psicologia Hospitalar, atuando no atendimento de crianças inseridas no processo de hospitalização no setor de Pediatria do Hospital Municipal Padre Germano Lauck, na cidade de Foz do Iguaçu-PR. O objetivo deste relato de experiência é apresentar a associação da Psicoeducação a técnicas de Ludoterapia e à dessensibilização sistemática em casos de medo de agulhas, injeções e procedimentos médicos afins. Foram associadas as técnicas de Psicoeducação e Ludoretapia em crianças internadas, a partir da contação de história(s). Os resultados obtidos a partir desta experiência apontam para a efetividade desta modalidade, assim como evidencia que a Psicoeducação aliada a técnicas de Ludoterapia são modalidades de intervenção importantes no acompanhamento psicológico de crianças que apresentam medo de procedimentos médicos, mostrando-se como ferramentas essenciais no âmbito de atuação profissional no ambiente hospitalar.
Using complex low-altitude unmanned aerogeophysical survey to refine medium-scale geological maps of Bodaibo synclinorium
Authors: Savchenko V. A.
Published: February 2025

The purpose of the work is to demonstrate the possibility to clarify and correct medium-scale geological maps of precursors (scale 1:200000–1:50000) using low-altitude unmanned aerial geophysical survey which is the fastest and low cost method of obtaining geological and geophysical data. A quantitative assessment is given to the more accurate identification of the location of geological boundaries and potential ore-bearing structures of the Sukhoi Log type. The first stage of geological study of the area involved obtaining the data from low-altitude unmanned gamma and aeromagnetic surveys. The survey results were prepared, interpolated, visualized, and, finally, subjected to geological and geophysical interpretation. Lineaments of the highest and lowest values, as well as the maximum gradients were identified in the magnetic field while the areas with the least variability at the lowest values and positive anomalies were identified in the gamma field. Interpretation and cross-comparison of the specified data allowed to compile new geological maps of the day surface and pre-Quaternary formations without any ground geological survey but based on the ideas about the geology of the region and characteristic differences in the physical properties of rocks. Taking into account regional stratigraphic and structural search criteria, two sites promising for gold mineralization were identi-fied in the studied area. It is shown that the known geological boundaries in these areas are shifted relative to the real ones by 100–1400 m (on average by 300 m), which is a significant error both in terms of mining and drilling operation planning and general correct understanding of the geological situation. The results obtained are typical for the projects aimed at gold exploration in the Bodaibo District of the Irkutsk region. The results of the study allow to conclude that the express and inexpensive method is useful for the specification of the position of geological and promising ore-bearing structures in the area under investigation, as well as for similar areas in nearby licensed areas and other sites of the Bodaibo synclinorium.
Mapping of lakes and heave mounds in the Arctic using synthetic aperture radar and interferometric synthetic aperture radar data with deep learning technologies
Authors: Yuriev A. A. , Shelokhov I. A. , Buddo I. V. , Rybchenko A. A.
Published: February 2025

This paper deals with the process of developing and training a U-Net neural network for image segmentation of lakes and hillocks based on synthetic aperture radar and interferometric synthetic aperture radar data. The main goal of the work is to create an effective deep learning model capable of automatically identifying lakes and heave mounds based on complex radar images. To achieve this goal, several stages were carried out, including data collection and annotation, selection of the neural network architecture, training and validation of the model, as well as evaluation of its performance. At the beginning of the work, the process of creating a training dataset is described, which includes annotating images, highlighting features, and preparing data for training. Next, we consider the U-Net architecture, which was chosen because of its ability to efficiently segment objects in images. The choice of hyperparameters, such as the number of filters, the size of the convolution core and activation functions, is justified, and the Adam optimizer is used to achieve fast and stable convergence of the model. The learning and validation process of the model is described in detail with an emphasis on using the validation subset to monitor performance. Regularization methods, including early stopping, are used to prevent overfitting and improve the generalizing ability of the model. As a result, the importance of using deep learning for synthetic aperture radar and interferometric synthetic aperture radar data analysis is demonstrated, as well as confirmation of the effectiveness of the U-Net model for solving segmentation problems.
Systematic analysis of relative phase extraction in one-dimensional Bose gases interferometry
Authors: Murtadho Taufiq , Gluza Marek , Arifa Khatee Zathul , Erne Sebastian , Schmiedmayer Jörg , Ng Nelly Huei Ying
Published: February 2025

Interference upon free expansion gives access to the relative phase between two interfering matter waves. Such measurements can be used to reconstruct the spatially-resolved relative phase, which is a key observable in many quantum simulations of quantum field theory and non-equilibrium experiments. However, in 1D systems, longitudinal dynamics is typically ignored in the analysis of experimental data. In our work, we give a detailed account of various effects and corrections that occur in finite temperatures due to longitudinal expansion. We provide an analytical formula showing a correction to the readout of the relative phase due to longitudinal expansion and mixing with the common phase. Furthermore, we numerically assess the error propagation to the estimation of the gases’ physical quantities such as correlation functions and temperature. We also incorporate systematic errors arising from experimental imaging devices. Our work characterizes the reliability and robustness of interferometric measurements, directing us to the improvement of existing phase extraction methods necessary to observe new physical phenomena in cold-atomic quantum simulators.
Comprehensive analysis of trends in mean temperature over the Cauvery River Basin, India using various statistical methods and discrete wavelet transform
Authors: Hitni Malluraj Channappa , Kale Ganesh D.
Published: February 2025

Climate change (CC) and global warming are widely acknowledged as the most important environmental problems faced by the world now. The rise in global and local mean temperature (Tmean), along with increased human interventions, has significantly impacted the hydrology of the Cauvery River Basin (CRB). Thus, this study carried out a comprehensive trend analysis for the Tmean data over the CRB from 1970 to 2022. Four aspects of the trend, viz. magnitude, significance, nature, start, and end are assessed using various statistical tests. Also, the regional significance of the trends is evaluated utilizing the false discovery rate (FDR) test. Discrete wavelet transform (DWT) is used in combination with the Mann–Kendall (MK) test/MK test with Block Boot Strapping (MKBBS test) and Sequential Mann–Kendall (SQMK) test to determine the time scale that dominated the trends in Tmean data over the basin. The results showed that consistent warming trends are observed in Tmean for all temporal scales throughout the basin with positive Sen's slope (SS) values. From the decomposition, it is observed that the trends are driven by periodic patterns lasting under 10 years, or, generally, 2 and 4 years for annual and seasonal scales and 4 and 8 months for the monthly time scale.
Validating smartphone-based water quality monitoring for rapid environmental assessment
Authors: Yazawa Taishi , Hasid Alnasir Silongan , Carré – Poussin Victor Maxime
Published: February 2025

The use of smartphones in assisting with water quality measurement enables us not only to collect quantitative environmental information but also to use smartphones as an environmental education and management tool. In this study, we evaluated the performance of a smartphone-based water quality monitoring method, known as the SMART PACKTEST, for environmental assessments. Specifically, we measured nitrogen parameters (ammonium-nitrogen (NH4-N), nitrite-nitrogen (NO2-N), and nitrate-nitrogen (NO3-N)) using the SMART PACKTEST with an iPhone 12 Pro Max and compared the results to those obtained using the DIGITAL PACKTEST, which uses a simplified portable absorption spectrophotometer. The water samples analyzed were collected from the Komaba-ike Pond at the University of Tokyo. The SMART PACKTEST tended to overestimate NH4-N and NO3-N concentrations by 1.5 to 2.6 times, respectively. However, the results obtained by the two methods showed good agreement, with the pseudo coefficients of determination being 0.96–0.98. This suggests that the SMART PACKTEST could be used for preliminary investigations to determine overall spatial/temporal water quality trends in the target area rather than for collecting accurate data. Further research is needed to confirm the applicability of this smartphone-based water quality monitoring method, particularly in developing regions with diverse water conditions.
Development of the generalized structure of the group method of data handling (GSGMDH) method based on multiple output layers to predict multiple leaks in urban water systems
Authors: Jamalvandi Ali , Izadbakhsh Mohammad Ali , Shabanlou Saeid , Rajabi Ahmad , Yosefvand Fariborz
Published: February 2025

In this research, a developed method according to the generalized structure of the group method of data handling (GSGMDH) method is used in comparison with the SAELM method to find the location and amount of leakage in the water distribution network. In this method, some limitations of using artificial intelligence techniques, including the number of output layers of machine learning models, are removed so that the model is able to predict several outputs at the same time. Also, the implementation process, which is relatively time-consuming in most of these techniques when dealing with large water distribution networks, has been significantly reduced in the GSGMDH model. These methods are implemented on a sample circular water distribution network whose data are available. The results indicate that the developed method, in which the nature of the dependence of the leakage rate on the pressure is preserved, is able to identify the position of the leaking nodes and also accurately predict the location and the amount of leakage in the node that has less leakage, with minimal extraction of hydraulic information of the nodal pressure type. This method can replace many expensive and time-consuming conventional methods as well as tools and hardware in urban water distribution networks.