Decoding target discriminability and time pressure using eye and head movement features in a foraging search task by Anthony J. Ries, Chloe Callahan-Flintoft, Anna Madison, Louis Dankovich, Jonathan Touryan

“…Support vector classifiers assigned a search condition, discriminability and time pressure, to each trial based on eye and head movement features. …”
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Determining Factors for the Diagnosis of Multidimensional Depression and Its Representation: A Composite Indicator Based on Linear Discriminant Analysis by Matheus Pereira Libório, Angélica C. G. Santos, Marcos Flávio Silveira Vasconcelos D’angelo, Hasheem Mannan, Cristiane Neri Nobre, Ariane Carla Barbosa da Silva, Petr Iakovlevitch Ekel, Allysson Steve Mota Lacerda

“…The results highlight individuals who have a limiting chronic condition, high levels of education, less support from friends and family, perform unhealthy work, and are male. …”
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Melodic Contour Training and Its Effect on Speech in Noise, Consonant Discrimination, and Prosody Perception for Cochlear Implant Recipients by Chi Yhun Lo, Catherine M. McMahon, Valerie Looi, William F. Thompson

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Discrimination of Customers Decision-Making in a Like/Dislike Shopping Activity Based on Genders: A Neuromarketing Study by Atefe Hassani, Amin Hekmatmanesh, Ali Motie Nasrabadi

“…The identifications of Like/Dislike conditions were then facilitated by the Support Vector Machine, Random Forest, Linear Discriminant Analysis, and K-Nearest Neighbors classifiers. …”
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Nondestructive discrimination of advanced clones and cultivars of strawberry using an innovative approach involving image analysis and machine learning by Ewa Ropelewska, Agnieszka Masny

“…The fruit image acquisition was performed using a digital camera. As many as 2172 image parameters were extracted from the image of each fruit converted to different color channels R, G, B, L, a, b, X, Y, Z, U, V, and S and textures with the highest discriminative power were selected to develop models using various machine learning algorithms, such as Multilayer Perceptron, MultiClass Classifier, IBk, and LMT, Linear Discriminant, Quadratic SVM, Subspace Discriminant, and Wide Neural Network. …”
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Evaluating machine leaning algorithms for accuracy, stability, and among-predictors discriminability in modeling species-richness across ten datasets by Yong Cao, Tyler E. Schartel, David C. Houghton, Jared Ross, Dana M. Infante

“…Global biodiversity is experiencing substantial declines, and mitigating this crisis requires analytical approaches that can accurately predict biodiversity in relation to natural conditions and human-induced stressors. While numerous machine learning (ML) algorithms for regression are available for such analyses, synthesizing outcomes across studies is challenging due to: (1) reliance on single datasets, limiting generalizability; (2) varying modeling processes; (3) inconsistent performance criteria; and (4) limited consideration of model stability and among-predictor discriminability.We addressed these issues by applying five ML algorithms—Random Forest (RF), Boosted Regression Tree (BRT), Extreme Gradient Boosting (XGB), Conditional Inference Forest (CIF), and Lasso—to ten large datasets on freshwater fish, mussels, and caddisflies. …”
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Discriminative Power of the Serious Game Attention Slackline in Children and Adolescents With and Without Attention-Deficit/Hyperactivity Disorder: Validation Study by Nicolás Ruiz-Robledillo, Ignacio Lucas, Rosario Ferrer-Cascales, Natalia Albaladejo-Blázquez, Javier Sanchis, Juan Trujillo

“…ObjectiveThis study aimed to evaluate the discriminative power and concurrent validity of the serious game Attention Slackline in distinguishing children and adolescents with ADHD from those without the condition and in correlating game performance with standardized ADHD assessment scales. …”
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Development of a Conditional Generative Adversarial Network Model for Television Spectrum Radio Environment Mapping by Oluwatobi Emmanuel Dare, Kennedy Okokpujie, Emmanuel Adetiba, Olabode Idowu-Bismark, Abdultaofeek Abayomi, Raymond Jules Kala, Emmanuel Owolabi, Udeme Christopher Ukpong

“…In this study, we utilised conditional generative adversarial network (CGAN) to create a television spectrum radio environment map in order to improve cognitive television white space (TVWS) radio performance in real-time propagation environments. …”
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Guided Conditional Diffusion Classifier (ConDiff) for Enhanced Prediction of Infection in Diabetic Foot Ulcers by Palawat Busaranuvong, Emmanuel Agu, Deepak Kumar, Shefalika Gautam, Reza Saadati Fard, Bengisu Tulu, Diane Strong

“…The process involves (1) generating guided conditional synthetic images by injecting Gaussian noise to a guide (input) image, followed by denoising the noise-perturbed image through a reverse diffusion process, conditioned on infection status and (2) classifying infections based on the minimum Euclidean distance between synthesized images and the original guide image in embedding space. …”
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Validation of a Rapid Host-Protein Score to Discriminate Bacterial from Viral Infections in Hospitalized Febrile Pediatric Patients by Maria Noni, Eleni Kalogera, Athina Xydia, Georgios Paradeisis, Kalliopi Spyridopoulou, Levantia Zachariadou, Evanthia Botsa

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The ability of captive spider monkeys, Ateles geoffroyi, to visually discriminate between different sizes of food and of non-edible objects by Anne-Sophie van Herwijnen, Laura Teresa Hernández Salazar, Matthias Laska

“…Our findings support the notion that frugivory may have favored the evolution of cognitive abilities in the physical domain which may, possibly, include the ability to perform fine visual size discriminations.…”
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Hand Grip Strength Cut‐Off Points as a Discriminator of Sarcopenia and Sarcopenic Obesity: Results from the ELSA‐Brasil Cohort by Clarice Alves Santos, Helena Fraga Maia, Francisco José Gondim Pitanga, Maria da Conceição Chagas deAlmeida, Maria de Jesus Mendes daFonseca, Estela Mota Leão deAquino, Letícia de Oliveira Cardoso, Rosane Harter Griep, Sandhi Maria Barreto, Claudia Kimie Suemoto, Paulo Lotufo, Isabela Bensenor, Sheila Maria Alvim deMatos

“…However, no study evaluated the performance capacity of HGS compared to other biomarkers in discriminating these conditions in adults. …”
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Humans may not have a uniquely enhanced sequence memory: sequence discrimination is facilitated by causal–logical framing in humans and chimpanzees by Eva Reindl, Amanda M. Seed, Robert A. Barton, Topaz Francis-Costa, Rachel L. Kendal

“…A total of 13 chimpanzees, 24 capuchin monkeys, 23 squirrel monkeys, 77 adult and 239 juvenile humans completed an AB versus BA, BB and AA task. Humans discriminated causal sequences better than arbitrary ones and one chimpanzee succeeded in the causal frame condition after 324 trials, suggesting that performance gaps in previous studies are partly due to the arbitrariness of sequences (monkeys mostly failed the training). …”
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Robust self management classification via sparse representation based discriminative model for mild cognitive impairment associated with diabetes mellitus by Yun-xian Wang, Rong Lin, Hao Liang, Yuan-jiao Yan, Ji-xing Liang, Ming-feng Chen, Hong Li

“…Patients with DM-MCI have considerably higher risk of dementia, whose daily self-care and life management (i.e. self-management) have a significant impact on the development of their condition. Thus, the inclusion and discrimination of subsequent interventions according to their self-management is an urgent issue. …”
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Improving ecosystem respiration estimates for CO2 flux partitioning by discriminating water and temperature controls on above- and below-ground sources by Shuai Wang, Shujing Qin, Lei Cheng, Kaijie Zou, Chenhao Fu, Pan Liu, Lu Zhang

“…Results showed that integration of the dual-source module can significantly improve the performance of empirical models in selected ecosystems with mean R2 improvement of 0.10 ± 0.16. …”
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A Satellite Individual Identification Method Based on a Complex-Valued Conditional Generative Adversarial Network by Jun He, Can Xu, Canbin Yin, Pengju Li, Jishun Li, Shuailong Zhao, Yasheng Zhang

“…With the help of specific emitter identification (SEI), the control efficiency of the satellite communication systems can be effectively improved by discriminating the individual satellite. In recent years, deep learning has been introduced into SEI to enhance identification performance because of its powerful classification capability. …”
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Stimulus conditions that promote habitual control by Zachary J. Pierce-Messick, Laura H. Corbit

“…Following devaluation, animals trained under discriminated-operant conditions had reduced goal-directed control, but only after extended training. …”
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Use of a predictor cue during a speech sound discrimination task in a Cntnap2 knockout rat model of autism. by Tracy M Centanni, Logun P K Gunderson, Monica Parra

“…There were only minor effects of sex on performance and only in the unpredictable condition. …”
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Analysis of Cross-Polarization Discrimination Due to Rain for Earth–Space Satellite Links Operating at Millimetre-Wave Frequencies in Pretoria, South Africa by Yusuf Babatunde Lawal, Pius Adewale Owolawi, Chunling Tu, Etienne Van Wyk, Joseph Sunday Ojo

“…Practical recommendations include the adoption of adaptive modulation and coding schemes to maintain link reliability during adverse weather conditions, particularly in summer. This research highlights the significance of incorporating frequency-dependent parameters and rain height variability in XPD estimation to enhance the design of satellite communication systems, ensuring optimized performance and reliable operation in a tropical climate.…”
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GenVFNet: Generating Visual Field From Optical Coherence Tomography Angiography by Conditional Generative Adversarial Networks by Anita Manassakorn, Supatana Auethavekiat, Vera Sa-Ing, Sunee Chansangpetch, Kitiya Ratanawongphaibul, Nopphawan Uramphorn, Visanee Tantisevi

“…This study aimed to generate a visual field pattern deviation map (GenVF) from optical coherence tomography angiography (OCTA) using conditional generative adversarial networks (cGAN), namely GenVFNet. cGAN consisted of two components: generator and discriminator. …”
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