bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract

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

Abstract

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.
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

ABSTRACT

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

ABSTRACT

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

ABSTRACT

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.
Comparative analysis of diagnostic criteria of classical cardiology and cardiometry
Authors: Rudenko M. Y. 
Published: February 2025

Purpose of research. Cardiometry, which has been developing for more than thirty years, has achieved certain results that make it possible to expand the diagnostic capabilities of the ECG. However, the criteria for cardio-metric diagnoses have not yet been included in the regulatory indicators approved by the Ministry of Health. Taking into account the possibilities of cardiometry and the pace of its development, this article provides a comparison of the forecasts obtained by classical and cardiometric methods from the standpoint of interchangeability.The purpose of research is to compare the cardiological diagnoses made on the basis of ECG obtained by classical and cardiometric methods, using the position of interchangeability.Methods. In this paper, the principle of superposition is applied, which consists in using one function to process the results of another. The existing classical result is described using a cardiometric function. As a result, in practice there is a logical possibility of moving to a more accurate diagnosis. At the same time, the basis of the classical diagnosis is not destroyed.Results. A comparative analysis of classical cardiological and cardiometric ECG assessment methods is presented. A total of 11 diagnoses were considered. Specific conclusions and recommendations are made for each comparison. Cardiometry allows a qualitative assessment of: a) The U-wave on the ECG occurs during the early diastole phase. It is associated with the filling of the coronary bloodstream, but the quality of its filling can only be diagnosed using a synchronously recorded rheogram from point T, the end of wave T to the beginning of wave U; b) hyper- and hypocalcemia are evaluated in the S – L phase by the amplitude of the phase; c) hyper- and hypokalemia are evaluated in the L-phase. j by phase amplitude.Conclusion. This work shows the possibilities of expanding the classical cardiological diagnosis based on an ECG.
A method for access control and monitoring compliance with safety regulations in energy facilities of enterprises based on a conveyor neural network model
Authors: Kiselev A. V. , Brusenсev N. S. , Kuleshova E. A. , Ermakov D. А. 
Published: February 2025

The purpose of research is improving the quality of monitoring safety violations in energy facilities of enterprises through the use of a method of automated incident detection in real time, based on the conveyor application of neural network models.Methods. The article proposes a pipeline neural network model YOLO – Tesseract – YOLO, designed to solve the problem of automated access control and monitoring compliance with safety regulations in real time at energy facilities of enterprises. A method for access control and monitoring compliance with safety regulations at energy facilities of enterprises is proposed, consisting in the pipeline application of neural network models YOLOv8 and Tesseract-OCR using morphological image processing, allowing to classify a group of electrical safety clearances based on recognized patterns in an employee's ID card and detect safety violations when working with electrical installations in real time.Results. A number of experiments were conducted, during which error matrices were obtained, which made it possible to evaluate the classification quality of the pipeline neural network model using such metrics as Recall, Precision and F1-measure, the metric values were presented for all classes. The value of the F1-measure metric for the YOLO1 neural network model used to evaluate the overall efficiency, equal to 0.98, indicates a balanced relationship between the accuracy and recall of the model. The value of the F1-measure metric for the YOLO2 neural network model equal to 0.73 indicates acceptable results of the model for solving the classification problem in real time, but indicates the need to refine this part of the pipeline neural network model to improve the overall efficiency.Conclusion. The results obtained during the study indicate an acceptable quality of the pipeline neural network model in solving the problem of automated access control and monitoring compliance with safety regulations in real time. Keywords: monitoring, safety engineering, access control, energy facilities of enterprises, pipeline neural network model, Tesseract-OCR, YOLOv8, classification.
Characterizing Experiences With Hikikomori Syndrome on Twitter Among Japanese-Language Users: Qualitative Infodemiology Content Analysis
Authors: Uchiyama Misa Ashley , Bekki Hirofumi , McMann Tiana , Li Zhuoran , Mackey Tim 
Published: February 2025

Background
Hikikomori syndrome is a form of severe social withdrawal prevalent in Japan but is also a worldwide psychiatric issue. Twitter (subsequently rebranded X) offers valuable insights into personal experiences with mental health conditions, particularly among isolated individuals or hard-to-reach populations.

Objective
This study aimed to examine trends in firsthand and secondhand experiences reported on Twitter between 2021 and 2023 in the Japanese language.

Methods
Tweets were collected using the Twitter academic research application programming interface filtered for the following keywords: “#引きこもり,” “#ひきこもり,” “#hikikomori,” “#ニート,” “#脱ひきこもり,” “#不登校,” and “#自宅警備員.” The Bidirectional Encoder Representations From Transformers language model was used to analyze all Japanese-language posts collected. Themes and subthemes were then inductively coded for in-depth exploration of topic clusters relevant to first- and secondhand experiences with hikikomori syndrome.

Results
We collected 2,018,822 tweets, which were narrowed down to 379,265 (18.79%) tweets in Japanese from January 2021 to January 2023. After examining the topic clusters output by the Bidirectional Encoder Representations From Transformers model, 4 topics were determined to be relevant to the study aims. A total of 400 of the most highly interacted with tweets from these topic clusters were manually annotated for inclusion and exclusion, of which 148 (37%) tweets from 89 unique users were identified as relevant to hikikomori experiences. Of these 148 relevant tweets, 71 (48%) were identified as firsthand accounts, and 77 (52%) were identified as secondhand accounts. Within firsthand reports, the themes identified included seeking social support, personal anecdotes, debunking misconceptions, and emotional ranting. Within secondhand reports, themes included seeking social support, personal anecdotes, seeking and giving advice, and advocacy against the negative stigma of hikikomori.

Conclusions
This study provides new insights into experiences reported by web-based users regarding hikikomori syndrome specific to Japanese-speaking populations. Although not yet found in diagnostic manuals classifying mental disorders, the rise of web-based lifestyles as a consequence of the COVID-19 pandemic has increased the importance of discussions regarding hikikomori syndrome in web-based spaces. The results indicate that social media platforms may represent a web-based space for those experiencing hikikomori syndrome to engage in social interaction, advocacy against stigmatization, and participation in a community that can be maintained through a web-based barrier and minimized sense of social anxiety.
Filosofia peirciana do mais que humano, seus precursores e seus herdeiros
Authors: Nöth Winfried , Santaella Lucia 
Published: February 2025

O artigo discute os aspectos mais que humanos ou extra-humanos da filosofia semiótica de Charles S. Peirce, contextualiza-a na história das ideias (Aristóteles, os medievais, Montaigne, Descartes), examina seus fundamentos, suas sintonias e diferenças em relação às tendências do século XXI nos estudos culturais e filosóficos, no contexto das dicotomias e do antropocentrismo herdados da cultura ocidental, atualmente denunciados pelo pós-humanismo, estudos não-humanos, Ontologia Orientada a Objetos e pelo paradigma mais que humano.
Systematic-Quantitative Analysis of Dapsone Treatment in Patients With Refractory Herpes Gestationis: Impact on Pregnancy Progression and Neonatal Outcomes
Authors: Behs Júlia Paiva , Alves Samuel Andrade Farias , Santos Carlos José França dos , Santiago Diego dos Passos , Nascimento Ana Luíza Santana , Souza João Victor Quintanilha de , Cabral Ana Clara Brasileiro , Rodrigues Emanuele Honório , Deonísio Ihago Gabriel Silvestre , Farias Anna Carolyne Barbosa , Figueiredo Luiz Guilherme Pereira de , Sarmento Anita Maria Nogueira , Chagas Marília Giovanna Sousa , Novais Anne Caroline Soares , Duarte Ana Sofia França , Vicelli Camilla Rodrigues , Kotovicz Mariana Farias Barros , Matos Gabriel Soares , Seba João Pedro Carvalho , Oliveira Jaqueline Avelino de , Melo Carolina Lessa Pereira de , Rezende Maria Eduarda Santinão De , Sá Kélvia Miranda , Silva Brenda Santos , Lima Márcia Lourenço Silva de , Tomasini João Vitor Bastos , Lopes Anaísa Filmiano Andrade 
Published: February 2025

Objective: This study aims to systematically and quantitatively analyze the impact of dapsone treatment in patients with refractory herpes gestationis (HG), focusing on its effectiveness in improving pregnancy outcomes and neonatal health.

Theoretical Framework: Herpes gestationis is a rare autoimmune blistering disorder that poses significant challenges in pregnancy management. While systemic corticosteroids remain the standard treatment, refractory cases necessitate alternative therapeutic approaches. Dapsone, known for its anti-inflammatory and immunomodulatory properties, has shown potential in achieving disease control in corticosteroid-resistant HG cases.

Method: A systematic review was conducted by searching PubMed, Scopus, and Web of Science databases for studies published between 2016 and 2023. The inclusion criteria comprised studies that provided data on maternal and neonatal outcomes following dapsone treatment for refractory HG. Exclusion criteria eliminated studies with insufficient outcome reporting, unrelated conditions, and small sample sizes.
Results and Discussion: The review identified promising outcomes associated with dapsone use in refractory HG, demonstrating symptom relief and improved maternal health. However, potential adverse effects, such as hemolysis and methemoglobinemia, necessitate careful monitoring. The findings emphasize the importance of individualized treatment strategies and multidisciplinary care to optimize outcomes.

Research Implications: This study underscores the need for standardized protocols and large-scale clinical trials to establish the safety and efficacy of dapsone in pregnant women with HG. Further research should explore long-term neonatal health outcomes and refine treatment guidelines.

Originality/Value: This review contributes to the limited literature on dapsone use in pregnancy, offering insights into its potential role as a second-line treatment in refractory HG cases and guiding future clinical practices.
Introduction to "Thinking with More-Than-Human Subsurfaces"
Authors: Helle Una , Parrott Flora 
Published: February 2025

As part of an interdisciplinary research team called “Thinking Deep,” which looks at “novel creative approaches to the subsurface” (Royal Holloway, University of London, n.d.), we registered a growing interest in the more-than-human subsurface across art, geography and beyond. As such, we put together a call for papers for the 2023 American Association of Geographers Annual Meeting, inviting papers that give thought to the environments below our feet—environments which have been “decentred from our imagination” (Hawkins, 2020, p. 4). In response, we received a wide range of interdisciplinary presentations that were willing to think-with cave-, marine- and soil-dwelling creatures; microbial networks and other elements of the subsurface. We ran two sessions and heard from academics and artists whose research centres the theme of the more-than-human within the subsurface, and who explore the ways in which our disciplines can best engage with these underground beings, habitats, and imaginaries. [...]
Analisis Yuridis Perlindungan Hukum Bagi Pembeli Dalam Jual Beli Pada Retail Online
Authors: Isnaini Hilmianti , Wagian Diangsa 
Published: February 2025

Penelitian ini bertujuan untuk mengetahui perlindungan hukum bagi pembeli, dan bagaimana penyelesaian sengketa dalam jual beli pada retail Online. Dalam penelitian ini menggunakan jenis penelitian hukum normatif dengan pendekatan Undang-Undang (Statute Approach) dan pendekatan konseptual (Conceptual Approach). Jual beli pada retail Online konsepnya sama dengan jual beli secara konvensional tetapi memiliki perbedaan, Dimana jual beli pada retail Online menggunakan aplikasi atau website sebagai tempat melakukan jual beli dengan memanfaatkan media elektronik. Penyelesaian sengketa jual beli pada retail Online dilakukan dengan melalui Badan Penyelesaian Sengketa (BPSK), diluar pengadilan (non litigasi) ataupun melalui pengadilan (litigasi), sesuai dengan yang diatur Undang-Undang Perlindungan Konsumen.
El cirujano del siglo XXI entre la tradición y la modernidad.
Authors: Marre Phillipe , Ruso Martinez Luis 
Published: February 2025

Traducción libre a cargo del Dr. Luis Ruso Martínez, con permiso del autor Dr. Phillipe Marre, de la conferencia de cierre de las jornadas de “Recontres Internacionales de la Chirurgie Francophone“ (RIFC 2024), dictada en París el 27 de Octubre de 2024. “Le chirurgien du siècle XXI entre la tradición et la modernite “.
El Dr. Marre es profesor (R) de cirugía visceral y digestiva y uno de los precursores de la cirugía bariátrica en Francia. Es miembro titular y Presidente (2021) de la Academia Nacional de Cirugía de Francia.
Redbanded Stink Bug, Red-Banded Stink Bug, Smaller Green Stink Bug (suggested common names) Piezodorus guildinii (Westwood) (Insecta: Hemiptera: Pentatomidae)
Authors: Pinkerton Morgan , Hodges Amanda 
Published: February 2025

This document provides an in-depth profile of the redbanded stink bug, Piezodorus guildinii. It covers the insect’s introduction, distribution, physical description, life stages, and host plants. The redbanded stink bug is a significant pest in the southeastern United States, particularly affecting leguminous crops like soybeans. The article also discusses the damage caused by this pest and various management strategies, including monitoring, cultural practices, and chemical control. The information is intended for both laypersons with some biological knowledge and academic audiences.