A Novel Balancing Method for Rotor Using Unsupervised Deep Learning by Shun Zhong, Liqing Li, Huizheng Chen, Zhenyong Lu

“…A novel balancing method for rotor based on unsupervised deep learning is proposed in this paper. The architecture of the proposed deep network is described. …”
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An Examination of SuperDARN Backscatter Modes Using Machine Learning Guided by Ray‐Tracing by B. S. R. Kunduri, J. B. H. Baker, J. M. Ruohoniemi, E. G. Thomas, S. G. Shepherd

“…In this study, we present a new two‐stage machine learning algorithm for identifying different backscatter modes in SuperDARN data. …”
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Sensorimotor Robotic Measures of tDCS- and HD-tDCS-Enhanced Motor Learning in Children by Lauran Cole, Sean P. Dukelow, Adrianna Giuffre, Alberto Nettel-Aguirre, Megan J. Metzler, Adam Kirton

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Baseline Smartphone App Survey Return in the Electronic Framingham Heart Study Offspring and Omni 1 Study: eCohort Study by Jian Rong, Chathurangi H Pathiravasan, Yuankai Zhang, Jamie M Faro, Xuzhi Wang, Eric Schramm, Belinda Borrelli, Emelia J Benjamin, Chunyu Liu, Joanne M Murabito

“…The return rate for the 4 iPhone tasks ranged from 80.9% (380/470) for the gait task to 88.9% (418/470) for the Trail Making Test task. The Electronic Framingham Heart Study participants had better standardized tt ConclusionsWe effectively engaged community-dwelling older adults to use a smartphone app designed to collect health information relevant to older adults. …”
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Enhancing Photovoltaic Module Fault Diagnosis with Unmanned Aerial Vehicles and Deep Learning-Based Image Analysis by J. Jerome Vasanth, S. Naveen Venkatesh, V. Sugumaran, Vetri Selvi Mahamuni

“…Diagnosing machinery faults from images can be made feasible with the adoption of deep learning and machine learning techniques. The primary objective of this study is to detect malfunctions in photovoltaic (PV) modules by utilizing a combination of deep learning and machine learning methodologies, with the assistance of RGB images captured via unmanned aerial vehicles. …”
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A Machine Learning Approach to Optimize, Model, and Predict the Machining Factors in Dry Drilling of Nimonic C263 by S. Lakshmana Kumar, V. Jacintha, A. Mahendran, R. M. Bommi, M. Nagaraj, Umamahesawari Kandasamy

“…In this present paper, the machine learning approach is used to optimize, model, and predict the factors during drilling Nimonic C263 under dry mode. …”
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Application of comprehensive scene simulation teaching based on 2PM teaching mode in the practice course of Internal Medicine Nursing (基于2PM教学模式的综合性情景模拟教学在《内科护理学》实践课程中的应用)... by WANG Jinxia (王金霞), JIANG Yuanfang (姜元方), FAN Linlin (范琳琳)

“…A questionnaire was sent out to investigate students' independent learning ability, critical thinking ability and teaching satisfaction. …”
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Research on power efficient autonomous UAV navigation algorithm: an edge intelligence driven approach by Chunmin LIN, Liekang ZENG, Xu CHEN

“…Autonomous drone navigation has received growing attention in the recent community.Compared with traditional navigation approaches which rely on location-based services highly, deep learning based visual methods have showed superior performance in self-adaption and generalization, which are a promising solution for autonomous navigation.Running the resource-hungry deep learning execution in the resource-constrained unmanned aerial vehicle (UAV), however, significant challenges were presented in power efficiency.To tackle this challenge, following the idea of edge intelligence, a deep reinforcement learning approach was introduced to dynamically configure the computational scale of the deep learning model on UAV and hence realize the autonomous navigation with low latency and high energy efficiency.Evaluations based on both simulation and real prototype experiments show that the proposed approach has the less energy consumption, longer navigation trail and higher obstacle avoidance rate.…”
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Effects of a Cognitive-Functional Intervention Method on Improving Executive Function and Self-Directed Learning in School-Aged Children with Attention Deficit Hyperactivity Disord... by Mi Ji Kim, Hae Yean Park, Eun-Young Yoo, Jung-Ran Kim

“…Additionally, video clips of task performance were analyzed to examine qualitative performance changes in self-directed learning. Result. All three participants presented statistically significant changes with a number of near-misses of CCTT and color words score of Stroop test during the intervention. …”
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ANTi-JAM solutions for smart roads: Ant-inspired traffic flow rules under CAVs environment by Marco Guerrieri, Nicola Pugno

“…During their movement, ants generate trail networks that share many characteristics with vehicular traffic on highways. …”
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Management of the Palaeozoic Palaeontological Heritage Associated With Metamorphic Bedrocks: Courel Mountains UNESCO Global Geopark (Spain) by Daniel Ballesteros, Manuel García-Ávila, José Diez, Ramón Vila, Xosé Barros, Juan Carlos Gutiérrez-Marco, Pablo Caldevilla, Martín Alemparte

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Few-Shot Contrail Segmentation in Remote Sensing Imagery With Loss Function in Hough Space by Junzi Sun, Esther Roosenbrand

“…Condensation trails, or contrails, are line-shaped clouds that are produced by an aircraft engine exhaust. …”
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Effect of use of Different Levels of Zingiber officinale on Production ‎‎,blood traits and Liver enzymes in Awassi Ewe’s Blood‎ by ‎ Dhia A.Al-Khayat, Ahmed M.M. Zakri

“… This research was designed to study the effect of  tow levels of  Zingiber officinale on Body weight , Hb , PCV ,WBCs account  , Lymphocytes , Neutrophiles accounts GOT and ALP liver enzymes  in Awassi ewe’s blood  , Nine Awassi ewes aged 1.5 years were divided into 3 equal groups as followed : Group A was treated  by 10 gm Zingiber officinale  / animal /daily (2.5%) of diet While group B  were treated with 20 gm Zingiber officinale  / animal daily  (5%) of diet  and group  C  considered as Control group without given Zingiber officinale  with diet ,the results showed that significant increase (P<0.05)on body weight in treatment  B  during weeks of trail compare with the groups  A & C .  …”
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Long-Term Impact Evaluation of Ground-Base Skidding on Residual Damaged Trees in the Hyrcanian Forest, Iran by Sattar Ezzati, Akbar Najafi

“…We investigated the long-term effects of ground-base skidding on residual damage severity on the healing of residual damaged trees in forests of northern Iran twenty-years post logging operation. …”
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Measuring Fluid Intelligence in Healthy Older Adults by Mohammed K. Shakeel, Vina M. Goghari

“…Ninety-three healthy older (>65 years old) community-dwelling adults participated. …”
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Running trends in Switzerland from 1999 to 2019: An exploratory observational study. by Anja Witthöft, Thimo Marcin, Mabliny Thuany, Volker Scheer, Pantelis T Nikolaidis, Matthias Wilhelm, Katja Weiss, Thomas Rosemann, Beat Knechtle

“…Median age increased with longer race distance and decreased in ultra-marathon in recent years.<h4>Conclusion</h4>In summary, finishing numbers especially in ultra-marathons increased with a focus on trail runs, female and male athletes had a declining performance across years in all race distances and men ran faster than women. …”
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Regards artistiques sur l’observation photographique by Frédérique Mocquet

“…Bertrand Stofleth and Geoffroy Mathieu place at the heart of their personal practice the representation of the territory and changes in contemporary landscapes. …”
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Representation Degree Zero by Alberto Sdegno

“… “Conventionally, of course, drawing is an active process which leaves a trail of carbon on the paper. With a computer sketch, however, any line segment is straight and can be relocated by moving one or both of its end points.” …”
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Nest Relocation and Colony Founding in the Australian Desert Ant, Melophorus bagoti Lubbock (Hymenoptera: Formicidae) by Patrick Schultheiss, Sebastian Schwarz, Antoine Wystrach

“…Even after years of research on navigation in the Red Honey Ant, Melophorus bagoti, much of its life history remains elusive. …”
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Assessment of Early Cognitive Impairment in Patients with Clinically Isolated Syndromes and Multiple Sclerosis by Leyla Baysal Kıraç, Özgül Ekmekçi, Nur Yüceyar, Ayşe Sağduyu Kocaman

“…The aim of our study was to investigate the frequency and pattern of cognitive impairment in patients with clinically isolated syndromes and definite diagnosis of multiple sclerosis within the last 2 years. Methods. We assessed the cognitive status of 46 patients aged 18–49 years with clinically isolated syndromes or definite diagnosis of multiple sclerosis who have onset of their symptoms within the last 2 years. …”
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