Deep Brain Stimulation in Parkinson’s Disease: New and Emerging Targets for Refractory Motor and Nonmotor Symptoms by Dustin Anderson, Grayson Beecher, Fang Ba

“…Many pharmacological therapies now exist to successfully treat PD motor symptoms; however, as the disease progresses, it often becomes challenging to treat with medications alone. Deep brain stimulation (DBS) has become a crucial player in PD treatment, particularly for patients who have disabling motor complications from medical treatment. …”
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Long term beef production in extensive cow-calf systems in the tropical savannas of eastern Colombia by R. R. Vera-Infanzón, C. A. Ramírez-Restrepo

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More Efficient and Reliable: Identifying RRab Stars with Blazhko Effect by Deep Convolutional Neural Network by Nan Jiang, Tianrui Sun, Siyuan Pan, Lingzhi Wang, Xue Li, Bin Sheng, Xiaofeng Wang

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The influence of using fermentated rumen content at quail feed to the protein of yolk and albumen of quail eggs by Gesa Cantya Primatara, Mohammad Anam Al Arif, Tita Damayanti Lestari, Widya Paramita Lokapirnasari, Sri Hidanah, Suharsono Suharsono

“…Ruminal content is one of slaughterhouse waste that has not been utilized optimally, in fact there are cases where ruminal content are thrown away haphazardly, causing environmental pollution. …”
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Glittering Hope: Evaluating the bicycles for educational empowerment (BEEP) programme as panacea to inclusive education in Zimbabwe by Taruvinga Muzingili, Raymond Taruvinga

“…This study evaluates the impact of the Bicycle for Educational Empowerment Program (BEEP) on improving access to education for rural learners in Zimbabwe. …”
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Medication Administration Through Feeding Tubes in a Tertiary Hospital: A Retrospective Observational Study by Zhu Y, Zhu B, Jin P

Subjects: “…tube feeding…”
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Deep Learning–Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach by Sara Abbasi, Khosro Rezaee

“…Our approach demonstrates substantial improvements in classification results compared to traditional deep learning methods.…”
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Deep Learning Classification of High-Resolution Drone Images Using the ArcGIS Pro Software by Amr Abd-Elrahman, Katie Britt, Tao Liu

“… Deep learning classification of invasive species using widely-used ArcGIS Pro software and increasingly common drone imagery can aid in identification and management of natural areas. …”
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Evaluating the impact of a tertiary multidisciplinary meeting in metastatic breast cancer: A prospective study by Belinda Sassé, Sammy Shaya, Jessica Nimmo, Katie Cao, Daphne Day, Katie Evans, Catherine Healy, Gwo-Yaw Ho, Gillian Kruss, Amelia McCartney, Linda Mojzisova, Ranjana Srivastava, Jennifer Tan, Mun Yee Tan, Kate Webber, Michelle White, Steven David, Marion Harris

“…Background: Metastatic breast cancer (mBC) guidelines recommend multidisciplinary meetings (MDM), but there is limited research on their impact. …”
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Classification of Myopathy and Amyotrophic Lateral Sclerosis Electromyograms Using Bat Algorithm and Deep Neural Networks by A. Bakiya, A. Anitha, T. Sridevi, K. Kamalanand

“…The performance of deep neural network exerting selected features from bat algorithm was compared with conventional artificial neural network. …”
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A Robust Multi-Modal Deep Learning-Based Fault Diagnosis Method for PV Systems by Shahabodin Afrasiabi, Sarah Allahmoradi, Mousa Afrasiabi, Xiaodong Liang, C. Y. Chung, Jamshid Aghaei

“…IEEE Open Access Journal of Power and Energy…”
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Enhancement the feeding value of rice straw as animal fodder through microbial inoculants and physical treatments by Mona S. Zayed

“…Abstract Purpose Improving the nutritional value of rice straw by microbial inoculants and some physical treatments for animal feeding during dry seasons. Methods Different microbial inoculants and some physical treatments were used to improve the nutritional value of rice straw. …”
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Real-Time Multi-Task Deep Learning Model for Polyp Detection, Characterization, and Size Estimation by Phanukorn Sunthornwetchapong, Kasichon Hombubpha, Kasenee Tiankanon, Satimai Aniwan, Pasit Jakkrawankul, Natawut Nupairoj, Peerapon Vateekul, Rungsun Rerknimitr

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Utilization of fish bone charcoal in feed on growth and physiological responses of catfish fry Clarias gariepinus by Rizqiyatul Fardila Putri, Mia Setiawati, Dedi Jusadi, Julie Ekasari

“… This study aimed to assess the impact of charcoal inclusion in feed on the physiological responses and growth of catfish. …”
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HUMAN GENES CONTROLLING FEEDING BEHAVIOR OR BODY MASS AND THEIR FUNCTIONAL AND GENOMIC CHARACTERISTICS: A REVIEW by E. V. Ignatieva, D. A. Afonnikov, E. I. Rogaev, N. A. Kolchanov

Subjects: “…feeding behavior…”
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Research on the Integration Method of Character Costume Culture in Dunhuang Murals Based on Deep Learning Algorithm by Ying Zhai, Ningjing Xuan, Hualong Shi, Qiao Liu

“…Through analysis and research it is found that, compared with traditional algorithms, the integration of clothing culture using deep learning algorithms is more coupling. Through the calculation and analysis of clothing evolution in Dunhuang murals, more design inspiration can be provided for Chinese clothing designers, and more strength and research materials can be contributed to future design and clothing development in combination with ancient and modern clothing culture.…”
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Research on Image Recognition and Classification Algorithms in Cloud Computing Environment Based on Deep Neural Networks by Zheshu Jia

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A low functional redundancy-based network slimming method for accelerating deep neural networks by Zheng Fang, Bo Yin

Subjects: “…Deep neural networks…”
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Prospective of climate change impact on water resources and sugar beet yield in the Urmia Lake basin by Somayeh Naderi, Bohloul Alijani, Zahra Hedjazizadeh, Hasan Heidari, Karim Abbaspour

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A Moving Object Detection Method Using Deep Learning-Based Wireless Sensor Networks by Linghua Zhao, Zhihua Huang

“…Aiming at the problem of real-time detection and location of moving objects, the deep learning algorithm is used to detect moving objects in complex situations. …”
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