Machine Learning and Intelligent Diagnostics in Dental and Orofacial Pain Management: A Systematic Review by Taseef Hasan Farook, Nafij Bin Jamayet, Johari Yap Abdullah, Mohammad Khursheed Alam

“…Machine learning in dental and orofacial healthcare has shown respectable results in diagnosing diseases with symptomatic pain and with improved future iterations and can be used as a diagnostic aid in the clinics. The current review did not internally analyze the machine learning models and their respective algorithms, nor consider the confounding variables and factors responsible for shaping the orofacial disorders responsible for eliciting pain.…”
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Analisis Sentimen untuk Identifikasi Bantuan Korban Bencana Alam berdasarkan Data di Twitter Menggunakan Metode K-Means dan Naive Bayes by Vincentius Riandaru Prasetyo, Gatum Erlangga, Delta Ardy Prima

“…Therefore, this study aims to conduct sentiment analysis from Twitter data to determine aid for victims of natural disasters in Indonesia. …”
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Main aspects of occupation policy of labour obligations in Lithuania in the years 1941-1944 by Justinas Braslauskas

“…Even though this article does not consider the reasons of the Lithuanian administration in aiding the Nazis to recruit the labour force, however, we are of the opinion that such a position was predetermined by several causes: 1) necessity to maximally employ the local production potential during the war for the supply of the Lithuanian population with food, fuel, etc.; 2) striving to consolidate all the forces of the country, simultaneously to help the German army in the fight against the mortal enemy of the Lithuanian nation - Bolshevism. …”
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A multi-stage weakly supervised design for spheroid segmentation to explore mesenchymal stem cell differentiation dynamics by Arash Shahbazpoor Shahbazi, Farzin Irandoost, Reza Mahdavian, Seyedehsamaneh Shojaeilangari, Abdollah Allahvardi, Hossein Naderi-Manesh

“…Therefore, we developed an innovative, weakly supervised model, aided by convolutional neural networks, to perform label-free spheroid segmentation. …”
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Leveraging machine learning for enhanced reservoir permeability estimation in geothermal hotspots: a case study of the Williston Basin by Abdul-Muaizz Koray, Emmanuel Gyimah, Mohamed Metwally, Hamid Rahnema, Olusegun Tomomewo

“…In addition, cross-plots were employed to successfully delineate the Red River formation into distinct regions, aiding in the definition of formation lithology and the estimation of field water saturation. …”
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A Framework for Early Detection of Acute Lymphoblastic Leukemia and Its Subtypes From Peripheral Blood Smear Images Using Deep Ensemble Learning Technique by Sajida Perveen, Abdullah Alourani, Muhammad Shahbaz, M. Usman Ashraf, Isma Hamid

“…Furthermore, this provides references for pathologists and healthcare providers, aiding them in producing specific guidelines and more informed choices about patient and disease management.…”
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Status of fish health management and biosecurity measures in fish farms, cages and hatcheries in Western Kenya by Domitila Kyule-Muendo, Elick Otachi, Fonda Awour, Erick Ogello, Kevin Obiero, Jacob Abwao, Cecilia Muthoni, Jonathan Munguti

“…Methods A total of 504 fish farmers were interviewed using a pre-tested questionnaire generated by a computer-aided personal interview (CAPI). The data collected was summarized using descriptive statistics using SPSS version 25. …”
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What does the fox select? Spatial ecology of Rocky Mountain red fox during peaks and troughs of human recreation by Emily N. Burkholder, John Stephenson, Sarah Hegg, David Gustine, Joseph D. Holbrook

“…Explicitly accounting for interindividual variation can aid ecological insights, especially for species that exhibit high behavioral flexibility. …”
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Assessing Glioblastoma Treatment Response Using Machine Learning Approach Based on Magnetic Resonance Images Radiomics: An Exploratory Study by Amirreza Sadeghinasab, Jafar Fatahiasl, Marziyeh Tahmasbi, Sasan Razmjoo, Mohammad Yousefipour

“…Trained ML classifiers based on these features serve as aiding tools to expedite the quantitative assessment of GBM patients' treatment response besides qualitative evaluations.…”
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Investigating LiDAR Metrics for Old-Growth Beech- and Spruce-Dominated Forest Identification in Central Europe by Devara P. Adiningrat, Andrew Skidmore, Michael Schlund, Tiejun Wang, Haidi Abdullah, Marco Heurich

“…This study demonstrates that using a few structural LiDAR metrics provides more information than a high number of standard LiDAR metrics, particularly for identifying old-growth forests in mixed temperate forests. The findings can aid forest and national park managers in developing a practical and efficient old-growth forest identification and monitoring method using LiDAR.…”
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Comparison of Modified Biophysical Profile with Doppler Ultrasonographic Analysis in Determining Fetal well Being in the Third Trimester by Kadir Bakay, Ahmet Varolan, Ali Yazgan, Atif Akyol, İnci Davas

“…But combining modified biophysical profile with Doppler analysis has yielded a higher sensitivity aiding in the diagnosis of perinatal outcome and acute fetal distress. …”
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Development of cohort definitions and algorithms to identify patients with Lennox-Gastaut syndrome or Dravet syndrome from real-world administrative healthcare databases by Drishti Shah, Victoria Divino, Justin Chen, Arturo Benitez, Jeannine Roth, J. Scott Andrews

“…Objective: To develop cohort definitions and algorithms that can be applied to a range of real-world retrospective data sources in the United States, France, Germany, Italy, Spain, United Kingdom, China, and Japan to identify patients with Lennox-Gastaut syndrome (LGS) or Dravet syndrome (DS) to aid future research. Methods: The study was conducted in 3 stages. …”
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Systemic Immune-Inflammation Index: A Promising, Non-Invasive Biomarker for Crohn’s Disease Activity and Severity Assessment by Deng Y, Fu T, Gao D, Zhou J, Nie X, Wang F, Yu Q

“…The SII-based nomograms offer a reliable model for evaluating CD progression, aiding in personalized treatment approaches and enhancing clinical decision-making. …”
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Indocyanine green fluorescence improves safety in laparoscopic cholecystectomy using the Fundus First technique: a retrospective study by Susanna Haverinen, Susanna Haverinen, Evelina Pajus, Gabriel Sandblom, Gabriel Sandblom, Yücel Cengiz, Yücel Cengiz

“…The aim of this retrospective study was to compare LC with and without the aid of ICG fluorescence at a Swedish hospital routinely performing FF-LC.MethodsData from all patients operated with LC at Sundsvall General Hospital before and after the implementation of routine ICG between 2016 and 2023 were analyzed.ResultsThe study included 2,009 patients; 1,455 operated with ICG (ICG-group) and 549 without (comparison group). …”
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Population- and Gender-Based Investigation for Prevalence of Helicobacter pylori in Dhamar, Yemen by Dhary A. Almashhadany, Sara M. Mayas, Hero I. Mohammed, Abdulwahed A. Hassan, Izhar U. H. Khan

“…The serological identification and culture-based methods are important for rapid detection, aid in treatment, and developing policies for the control and eradication of H. pylori infection and to prevent the disease in different age groups in Yemen.…”
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Can Thinning Foster Forest Genetic Adaptation to Drought? A Demo‐Genetic Modelling Approach With Disturbance Regimes by Victor Fririon, Hendrik Davi, Sylvie Oddou‐Muratorio, Gauthier Ligot, François Lefèvre

“…It provides general insights into how population management, disturbance regimes and eco‐evolutionary responses interfere, aiding sustainable decision‐making amid environmental uncertainties.…”
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Exploring diazotrophic diversity: unveiling Nif core distribution and evolutionary patterns in nitrogen-fixing organisms by Bruno Thiago de Lima Nichio, Roxana Beatriz Ribeiro Chaves, Fábio de Oliveira Pedrosa, Roberto Tadeu Raittz

“…Conclusions This study advances our understanding of the distribution of nif genes, aiding in the prediction and classification of N₂-fixing organisms. …”
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Petrophysical Regression regarding Porosity, Permeability, and Water Saturation Driven by Logging-Based Ensemble and Transfer Learnings: A Case Study of Sandy-Mud Reservoirs by Shenghan Zhang, Yufeng Gu, Yinshan Gao, Xinxing Wang, Daoyong Zhang, Liming Zhou

“…Since ensemble learning models universally will cause an underfitting issue when dealing with a small-volumetric dataset, transfer learning in this circumstance will be employed as an aided technique for the core predictor to achieve a satisfactory prediction. …”
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VIBE: an R-package for VIsualization of Bulk RNA Expression data for therapeutic targeting and disease stratification by Indu Khatri, Saskia D. van Asten, Leandro F. Moreno, Brandon W. Higgs, Christiaan Klijn, Christiaan Klijn, Francis Blokzijl, Iris C. R. M. Kolder

“…Its intuitive interface allows users to evaluate the expression of target genes and their associated pathways across various cancer indications, aiding in target and disease prioritization. Metadata, such as treatment or number of prior lines of therapy, can be easily incorporated to refine the identification of patient cohorts hypothesized to derive benefit from a given drug. …”
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Kombinasi K-NN dan Gradient Boosted Trees untuk Klasifikasi Penerima Program Bantuan Sosial by Elly Firasari, Umi Khultsum, Monikka Nur Winnarto, Risnandar Risnandar

“…In the implementation of the social assistance program when it was still very limited, the acceptance of the aid program was not on target. Data mining helps to determine decisions in predicting data in the future. …”
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