Data Augmentation and Machine Learning algorithms for multi-class imbalanced morphometrics data of stingless bees by Daisy Salifu, Lorna Chepkemoi, Eric Ali Ibrahim, Kiatoko Nkoba, Henri E.Z. Tonnang

“…These techniques are applied in combination with machine learning (ML) algorithms; specifically Random Forest (RF), and Support Vector Machine (SVM), to assess the models’ predictive performance to infer stingless bee samples identities. …”
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The Physicochemical and Rheological Properties of Green Banana Flour–Wheat Flour Bread Substitutions by Yasmeen M. Bashmil, Frank Bekes, Michael Ruderman, Hafiz A. R. Suleria, Rudi Appels, Frank R. Dunshea

“…Improved dough mixing stability and increased viscosity, starch gelatinization, and retrogradation were all predicted to contribute to longer bread shelf life. …”
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Phytoalexin deficient 4 is associated with the lesion mimic trait in watermelon clalm mutant (Citrullus lanatus) by Jiale Shi, Congji Yang, Yuanyuan Qin, Qingqing Liu, Shengqi Hua, Defeng Wu, Wei Dong

“…There are 6 genes with non-synonymous mutation SNP sites. The predicted target gene, ClCG04G001930, encodes a Phytoalexin deficient 4 (PAD4), a protein that plays an important regulatory role in leaf senescence in many plant species. …”
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Comparative analysis of harmonic sensitivity for stator fault diagnosis in induction motors by Allal Abderrahim, Lamouchi Zakaria, Abderrahmane Khechekhouche, Antonio Marcos de Oliveira Siqueira, Julio César Costa Campos, Kheireddine Lamamra

“…Additionally, this diagnostic methodology proves effective in identifying micro short-circuits between stator coils, allowing for a proactive strategy in predictive maintenance. This proactive approach enables anticipatory part replacement before degradation progresses to the point of causing comprehensive failure in the production chain. …”
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Hop to It! The Relationship Between Hop Tests and The Anterior Cruciate Ligament – Return to Sport Index After Anterior Cruciate Ligament Reconstruction in NCAA Division 1 Collegia... by Michael Zarro, Madelyn Dickman, Timothy Hulett, Robert Rowland, Derrick Larkins, Jeffrey Taylor, Christa Nelson

“…The CHD explained 66% (R^2^ value of 0.660) of the variance in the ACL-RSI, while the other hop tests did not add to the predictive model. # Conclusions Physical function has the capacity to influence psychological status after ACLR. …”
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The impact of demographics and positioning on the imaging features of the optic nerve sheath and ophthalmic vessels by David Berhanu, Luís Abegão Pinto, Inês Carneiro, Isabel Fragata, Joana Tavares Ferreira, Lia Lucas Neto

“…Linear regression models were fitted to predict the effect of demographic and clinical determinants on the imaging features. …”
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Status of zoonotic disease research in refugees, asylum seekers and internally displaced people, globally: A scoping review of forty clinically important zoonotic pathogens. by Regina Oakley, Nadja Hedrich, Alexandra Walker, Habtamu Merha Dinkita, Rea Tschopp, Charles Abongomera, Daniel H Paris

“…Demographic data, migration pathways, health factors, associated outbreaks, predictive factors and preventative measures were extracted and synthesized. …”
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Distinguishing benign and malignant myxoid soft tissue tumors: Performance of radiomics vs. radiologists. by Joshua M Lawrenz, Can Cui, Samuel R Johnson, Katherine S Hajdu, Stephen W Chenard, Akhil Rekulapelli, Cullen P Moran, John J Block, Nicholson S Chadwick, Joanna L Shechtel, Brian Bingham, Leo Y Luo, Jennifer L Halpern, Herbert S Schwartz, Ginger E Holt, David S Smith, Benoit Dawant, Hakmook Kang

“…<h4>Conclusions</h4>A radiomic based ML model predicted benign or malignant diagnosis in myxoid soft tissue tumors similarly to the consensus diagnosis by three musculoskeletal radiologists. …”
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Optimization of Toxicity, Biodegradability, and Skin Irritation in Formulations Containing Mixtures of Anionic and Nonionic Surfactants Combined with Silica Nanoparticles by Manuela Lechuga, Mercedes Fernández-Serrano, Josefa Núñez-Olea, Juan Francisco Martínez-Gallegos, Francisco Ríos

“…Potential skin irritation was predicted through the zein number (ZN), finding that some surfactant combinations with silica nanoparticles reduce irritation levels, highlighting their potential for safer formulation in products that come into direct contact with the skin. …”
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Impact of the menstrual cycle phases and time of day on markers of stress: salivary α-amylase and secretory immunoglobulin A by Josey K. Walker, Courtney C. Dillard, Drew E. Gonzalez, Hunter S. Waldman, Matthew J. McAllister

“…A single-group repeated measure design was employed in which seventeen participants (n = 17) monitored their MC for two months while attending eight experimental sessions which included both AM and PM sessions during each predicted 1) menses, 2) follicular, 3) ovulatory and 4) luteal phases. …”
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FDT Perimetry for Glaucoma Detection in Comprehensive Health Checkup Service by Ryo Terauchi, Takashi Wada, Shumpei Ogawa, Masanobu Kaji, Tomohiro Kato, Masayuki Tatemichi, Tadashi Nakano

“…Among them, 20 (87.0%) had abnormal FDT perimetry findings and 12 (52.2%) had abnormal findings on fundus photography. The positive-predictive value (PPV) of FDT perimetry was 16.5% (20/121) and that of fundus photography was 13.3% (12/90). …”
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Spatio-Temporal Dynamics of Sediment Transport Pathways: Sand Apron Bars and Islands of Tokelau and Kiribati, Central Pacific by Eugene C. Rankey, Tion Uriam, Mika Perez

“…Understanding such local influences is requisite to predictive understanding of how global change might impact these sensitive seascapes.…”
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Exogenous plasmid capture to characterize tetracycline-resistance plasmids in sprouts obtained from retail in Germany by Maria Stein, Erik Brinks, Diana Habermann, Gyu-Sung Cho, Charles M. A. P. Franz

“…Most of the captured long plasmids carried either the tet(A) or tet(D) resistance gene, belonged to the IncFI or IncFII replicon types, and were predicted as conjugative. While the smaller plasmids contained the tet(A) tetracycline resistance gene as well as additional quinolone (qnrS1), sulfonamide (sul1) and trimethoprim (dfrA1) resistance genes, the larger plasmids only contained the tet(D) resistance gene. …”
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An Innovative Clinic-Based Intervention to Improve Adolescent Access to Sexual and Mental Health Services: The Total Teen Program by Whitney Garney, Gan Han, Christi Esquivel, Kristen Garcia, Kobi V. Ajayi, Kelly Wilson

“…Concerning micro visits and referrals, being male was associated with lower depression rates ( P  = .0003) and generalized anxiety disorder ( P  = .0099). Being males also predicted micro visit receipt ( P  = .0199). Concerning SRH micro visits, higher sexual behavior scores ( P  < .0001) were significantly associated with a greater likelihood of utilizing SRH micro visits. …”
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Significance of siderophore-producing cyanobacteria on enhancing iron uptake potentiality of maize plants grown under iron-deficiency by Mandees Bakr Brick, Mervat H. Hussein, Amr M. Mowafy, Ragaa A. Hamouda, Amr M. Ayyad, Dina A. Refaay

“…The response surface approach was successful in optimizing the conditions of siderophore production in Synechococcus mundulus with actual values for maximum biomass (387.11 mg L− 1) and siderophore production (91.84%) higher than the predicted values. The proton nuclear magnetic resonance (1H NMR) analysis data and the Fourier transformer-infrared spectrum analysis (FT-IR) signify the hydroxamate nature of Synechococcus mundulus isolated siderophore. …”
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YAP1 as a Novel Negative Biomarker of Immune Checkpoint Inhibitors for EGFR-Mutant Non-Small-Cell Lung Cancer by Ling-Chen Li, Xie-Wan Chen, Ling Fang, Chun-Li Jian, Yong-Xin Yu, Xing-Yun Liao, Jian-Guo Sun

“…Moreover, survival analysis was performed to verify the predictive value of YAP1 in ICIs treatment for EGFR-mutant NSCLC population using Ren’s research data (NCT03513666). …”
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Detection of exhaled methane levels for monitoring trauma-related haemorrhage following blunt trauma: study protocol for a prospective observational study by Péter Jávor, Ferenc Rárosi, Tamara Horváth, László Török, Endre Varga, Petra Hartmann

“…The relation of exhaled CH4 to study outcomes and its performance in predicting blood loss in comparison with conventional shock markers and microcirculatory indices will be tested.Ethics and dissemination Our protocol (ID: 5400/2021-SZTE) has been registered on ClinicalTrials.gov (NCT04987411) and complies with the Declaration of Helsinki and has been approved by the medical ethics committee at the University of Szeged (Ref.nr.:121/2021-SZTE RKEB). …”
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A Spectral Transfer Function to Harmonize Existing Soil Spectral Libraries Generated by Different Protocols by Nicolas Francos, Daniela Heller-Pearlshtien, José A. M. Demattê, Bas Van Wesemael, Robert Milewski, Sabine Chabrillat, Nikolaos Tziolas, Adrian Sanz Diaz, María Julia Yagüe Ballester, Asa Gholizadeh, Eyal Ben-Dor

“…A machine-learning TF strategy was developed, assembling random forest (RF) spectral-based models to predict the ISS spectral condition using soil samples from two existing SSLs. …”
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Automated Phenotypic Analysis of Mature Soybean Using Multi-View Stereo 3D Reconstruction and Point Cloud Segmentation by Daohan Cui, Pengfei Liu, Yunong Liu, Zhenqing Zhao, Jiang Feng

“…In the extraction of plant parameters, the predicted values of pod width, pod length, and stem diameter obtained through the phenotypic extraction method exhibit coefficients of determination (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula>) of 0.9489, 0.9182, and 0.9209, respectively, with manual measurements. …”
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Associations of Maternal Fructosamine before Delivery in Gestational Diabetes Mellitus Pregnancies with Neonatal Glucometabolic Disorders by Zhengxia Mao, Ruilin Wu, Huan Yu, Yujiao Zhang, Wenbin Dong, Lile Zou, Xiaoping Lei

“…However, FMNALB≥75th percentile seemed to be not predictive of the glucose intolerance (aOR 1.76, 95% CI 0.82-3.79, P=0.149) and LGA (aOR 1.56, 95% CI 0.81-3.02, P=0.185). …”
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