PLASTID TRNL INTRON VARIABILITY IN FABOIDEAE SPECIES (FABACEAE) by E. A. D’yachenko, M. A. Filyushin, E. P. Pronin, E. Z. Kochieva

“…In this paper, for the first time the intron sequence of the plastid trnL gene is described in 16 legume species, and putative secondary structures of the entire intron and some of its functional domains are reconstructed. …”
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Trust chain management model based on recommendation by TIAN Jun-feng, LU Yu-zhen, LI Ning

“…Aiming at the present problem that the trust information was not sufficient when processing the trust com-putation in trust link management,a recommendation based trust chain management model（RTCM） was presented.With the building of the trusted network,considering the factors such as the transition fading,time decay,and weight of the path and so on,the model decreased the time complexity in the search of the trusted paths.Used weighted closeness to combine the recommendation paths,fully considered the trust-related information,and the policy to in-hibit the malicious recommendation was given.Finally,the experiment has shown that this model has improved the trustworthiness of network.…”
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Development of Pedestrian Level of Service (PLOS) for Jaywalking Pedestrians at Unsignalised Intersections on Urban Arterials Using Ann &Amp; Clustering: A Case Study in India by Ampereza Ankunda, Malaya Mohanty, Satya Ranjan Samal

“…Artificial Neural Networks (ANN) are used to determine the pedestrian crossing speeds from vehicular and pedestrian counts whose outputs are close to the field data. A 2-step K-means clustering technique is employed to determine the Pedestrian LOS ranges based on pedestrian crossing speeds. …”
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Addressing Technical Challenges in Large Language Model-Driven Educational Software System by Nacha Chondamrongkul, Georgi Hristov, Punnarumol Temdee

“…These challenges arise from the complexity of coordinating system components, difficulty interpreting LLM decision-making processes, and the need for reliable, consistent model outputs in varied educational scenarios. Additionally, ensuring scalability requires robust autoscaling mechanisms and suitable architecture design to handle fluctuating workloads. …”
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Classification of Buried Objects From Ground Penetrating Radar Images by Using Second-Order Deep Learning Models by Douba Jafuno, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller

“…These thumbnails are then inputs to the first layers of a classical CNN, which then produces a covariance matrix using the outputs of the convolutional filters. Next, the covariance matrix is given to a network composed of specific layers to classify symmetric positive definite matrices. …”
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Designing an Intuitionistic Fuzzy Network Data Envelopment Analysis Model for Efficiency Evaluation of Decision-Making Units with Two-Stage Structures by Nafiseh Javaherian, Ali Hamzehee, Hossein Sayyadi Tooranloo

“…Classic DEA models are ill-suited for the problems where decision-making units consist of multiple stages with intermediate products and those where inputs and outputs are imprecise or nondeterministic, which is not uncommon in the real world. …”
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Predictability of water resources with global climate models. Case of Northern Tunisia by Besbes, Mustapha, Chahed, Jamel

“…Hydrologic impacts rely on a rainfall-runoff lumped model using outputs of CMIP6 GCMs within the framework of the ssp2-45 scenario. …”
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ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic Forecaster by Eva Volna, Martin Kotyrba, Hashim Habiballa

“…The experimental part makes it possible to load ECG signals, preprocess them, and classify them into given classes. Outputs from the classifiers carry a predictive character. …”
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Optimization of Reinforced Aluminium Scraps from the Automobile Bumpers with Nickel and Magnesium Oxide in Stir Casting by V. Vijayan, A. Parthiban, T. Sathish, L. Ponraj Sankar, S. Dinesh Kumar, S. Saravanakumar, Dawit Tafesse

“…Finally, the optimized input consideration values and the linear equations are recommended for both the considered outputs as conclusions.…”
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An advection-diffusion-reaction size-structured fish population dynamics model combined with a statistical parameter estimation procedure: Application to the Indian Ocean skipjack... by Blaise Faugeras, Olivier Maury

“…We thendiscuss the numerical scheme chosen for the integration of thesimulation model.In a second step we address the parameter estimation problem for such a model.With the help of automatic differentiation, we derive the adjoint code which is usedto compute the exact gradient of a Bayesian cost functionmeasuring the distance between the outputs of the model and catch and length frequency data.A sensitivity analysis shows that not all parameters can be estimated from the data.Finally twin experiments in which pertubated parameters are recoveredfrom simulated data are successfully conducted.…”
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Estimating Compressive Strength of High Performance Concrete with Gaussian Process Regression Model by Nhat-Duc Hoang, Anh-Duc Pham, Quoc-Lam Nguyen, Quang-Nhat Pham

“…Furthermore, GPR model is strongly recommended for estimating HPC strength because this method demonstrates good learning performance and can inherently express prediction outputs coupled with prediction intervals.…”
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RAM‐SCB Runs on Request at CCMC by Steven K. Morley, Vania K. Jordanova, Yihua Zheng, Maksym Petrenko

“…RAM‐SCB simulates the evolution of major ion species (H+, O+, and He+ by default) and electrons as a function of azimuth, radial distance, energy, and pitch angle. Simulation outputs include the Dst index, and pressure and differential flux of the modeled species, thus providing benefit as a science code and to inform surface charging hazard within the model domain. …”
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Dynamics of REL, RELA and IRF1 transcription factor expression in U937 macrophages after dioxin exposure by E. V. Kashina, D. Y. Oshchepkov, E. V. Antontseva, M. Y. Shamanina, D. P. Furman, V. A. Mordvinov

“…The binding of the TCDD:AhR:ARNT transcription complex from the nuclear extract with double-stranded oligonucleotides containing the putative DREs was studied by the EMSA. Isolated RNA was used for the study of the TCDD-mediated alteration of gene expression levels using Real-time PCR with SYBR Green I. …”
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Analisis Faktor-Faktor yang Mempengaruhi Pemenuhan Indikator Angka Kontak Komunikasi dan Rasio Peserta Prolanis di Puskesmas Kabupaten Padang Pariaman by Nofriyenti Nofriyenti, Nur Afrainin Syah, Ali Akbar

“…Hasil penelitian ini menunjukkan bahwa masih ada 3 puskesmas yang belum mampu memenuhi indikator angka kontak komunikasi ≥150 permil, yaitu Puskesmas Sicincin, Puskesmas Ulakan dan Puskesmas Limau Purut. Dari tiga puskesmas tersebuat dua diantaranya yaitu Puskesmas Limau Purut dan Puskesmas Ulakan, belum mampu memenuhi indikator ratio peserta prolanis rutin berkunjung ≥ 50%.…”
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Identification of a functional vitamin D response element in the promoter of goose anti-Müllerian hormone gene by Rong Chen, Chen Chen, Yifei Qin, Jie Liu, Mingming Lei, Huanxi Zhu, Zhendan Shi

“…Luciferase activity assays revealed that the putative VDRE is a negative regulatory element. Vitamin D receptor (VDR) and retinoic X receptor (RXR) are necessary to decrease the AMH promoter activity induced by vitamin D3. …”
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The Complete Mitochondrial Genome of the American Palm Cixiid, Haplaxius crudus (Hemiptera: Cixiidae) by Lidia Komondy, Jose Huguet-Tapia, Marina S. Ascunce, Ericka E. Helmick, Erica M. Goss, Brian W. Bahder

“…Haplaxius crudus Van Duzee is a pest of various economically important palms due to its ability to transmit lethal yellowing, a fatal phytoplasma infection. It is also the putative vector of lethal bronzing in Florida, another lethal phytoplasma disease causing significant economic losses. …”
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Identification of Intracranial Germ Cell Tumors Based on Facial Photos: Exploratory Study on the Use of Deep Learning for Software Development by Yanong Li, Yixuan He, Yawei Liu, Bingchen Wang, Bo Li, Xiaoguang Qiu

“…A regression model using clinically relevant, statistically significant data was developed and combined with GVisageNet outputs to create a hybrid model. This integration sought to assess the incremental value of clinical data. …”
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Evaluating ChatGPT’s diagnostic potential for pathology images by Liya Ding, Lei Fan, Lei Fan, Miao Shen, Miao Shen, Yawen Wang, Kaiqin Sheng, Zijuan Zou, Huimin An, Zhinong Jiang

“…The diagnostic accuracy of GPT-4 was assessed by comparing its outputs to a reference standard using statistical measures. …”
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Pharmacokinetic Interactions between Cardiovascular Medicines and Plant Products by Irina-Iuliana Costache, Anca Miron, Monica Hăncianu, Viviana Aursulesei, Alexandru Dan Costache, Ana Clara Aprotosoaie

“…This review highlights the pharmacokinetic clinically relevant interactions between major conventional cardiovascular medicines and plant products with an emphasis on their putative mechanisms, drawbacks of herbal products use, and the perspectives for further well-designed studies.…”
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Culture-specific notions of causation in Matses grammar by David W. Fleck

“…This notion of causation appears to be particular to the Matses, suggesting that in addition to putative universal notions of causation, culture-specific notions of causal understanding should be taken into consideration in linguistic description.…”
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