Adenovirus-Based Single-Dose Vaccines for SARS-CoV-2: A Review by Vivek P Chavda, Anita A. Mehta, Hajra Zafar, Faisal Raza, Ana Cláudia Paiva-Santos, Pankti C. Balar, Vasso Apostolopoulos, Lalitkumar Vora

“…Many features of the Ad vector render it an appealing vaccine carrier for contagious diseases, including high titer, ease of processing, high effectiveness, low immunogenicity in clinical trials, and consistency in pharmaceutical packaging and shipment processes. …”
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A Keyframe Extraction Method for Assembly Line Operation Videos Based on Optical Flow Estimation and ORB Features by Xiaoyu Gao, Hua Xiang, Tongxi Wang, Wei Zhan, Mengxue Xie, Lingxuan Zhang, Muyu Lin

“…However, these recordings are often excessively long, leading to high storage demands and inefficient processing. Existing keyframe extraction methods typically apply uniform strategies across all frames, which are ineffective in detecting subtle movements. …”
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GDNF overexpression in astrocytes enhances branching and partially preserves hippocampal function in an Alzheimer’s rat model by Ana Abril Vidal Escobedo, Facundo Peralta, Gustavo Ramón Morel, Martino Avallone, Tomas Björklund, Paula Cecilia Reggiani, Joaquín Pardo

“…Although GDNF prevented astrocytic process length reduction, it did not mitigate neuroinflammation, as evidenced by persistent microglial activation, nor did it improve deficits in the novel object recognition task. …”
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Enhanced EEG signal classification in brain computer interfaces using hybrid deep learning models by Abir Das, Saurabh Singh, Jaejeung Kim, Tariq Ahamed Ahanger, Anil Audumbar Pise

“…The BCI architecture processes electroencephalography signals through three critical stages: data pre-processing, feature extraction, and classification. …”
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Data-driven discovery of ultrahigh specific hardness alloys by Taeyeop Kim, Wook Ha Ryu, Geun Hee Yoo, Donghyun Park, Ji Young Kim, Eun Soo Park, Dongwoo Lee

“…Combinatorial experimental datasets and an ensemble of six ML algorithms (elastic net, support vector machine, Gaussian process regressor, random forest, artificial neural network, and convolutional neural network) were used to explore a compositional space blended by 28 metallic elements. …”
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Molecular Cloning and Characterization of Babesia orientalis Rhoptry Neck 2 BoRON2 Protein by Ngabu Malobi, Lan He, Long Yu, Pei He, Junwei He, Yali Sun, Yuan Huang, Junlong Zhao

“…The organelles proteins localized in apical membrane especially rhoptries neck and microneme protein form a complex called moving junction important during invasion process of parasites belonging to apicomplexan group, including Babesia species. …”
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Combination of GEOBIA and data-driven approach for grassland habitat mapping in the Alta Murgia National Park by Cristina Tarantino, Marica De Lucia, Luciana Zollo, Mariagiovanna Dell’Aglio, Maria Adamo, Rocco Labadessa

“…These Mediterranean habitats are often characterized by small and fragmented patches, therefore, multi-season very high spatial resolution satellite images and data-driven Geographic Object-Based Image Analysis (GEOBIA) approach were considered to obtain grassland habitats mapping by an automatic classification process. Different classifiers such as Support Vector Machine (SVM) and Random Forest (RF) were evaluated, and their performance was compared by varying different input feature configurations such as the number of seasonal images used. …”
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Functional Analysis of Pheophorbide a Oxygenase Gene and Its Promoter from Mango (Mangifera indica) Fruit by Beibei Bai, Kuanliang Liu, Zhichang Zhao, Ruixiong Luo, Aiping Gao, Huangtuan, Wang Zisong

“…Pheophorbide a oxygenase (PAO) is a key enzyme in the process of chlorophyll degradation. It can metabolize a produced in the process of chlorophyll degradation into red chlorophyll metabolite. …”
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Forced distance learning at a Russian technical university: A comparative analysis of key challenges assessment by N. A. Lukianova, J. O. Okhorzina, T. V. Konyukhova, O. N. Kiselev

“…The implementation of the proposed recommendations for building a vector of readiness for remote work will reduce the negative socio-psychological impact of stressors and improve the quality of the educational process.…”
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Automatic extraction of upper-limb kinematic activity using deep learning-based markerless tracking during deep brain stimulation implantation for Parkinson's disease: A proof of c... by Sunderland Baker, Anand Tekriwal, Gidon Felsen, Elijah Christensen, Lisa Hirt, Steven G Ojemann, Daniel R Kramer, Drew S Kern, John A Thompson

“…A semi-supervised classification model, support vector machine (SVM), trained on the parameters defined by the parabolic fit reliably predicted movement type. …”
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Party System Transformation in Central Asian Countries in the Context of Strengthening Political Regimes by Boris P. Guseletov, Nataliya M. Velikaya

“…The common features of their institutionalization and functioning are revealed: the ongoing process of party-building of political institutions, accompanied by changes in the constitutional system, a combination of liberalization and exclusion of the opposition from the political process, and in some cases a ban on the activities of opposition parties. …”
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Peculiarities of using geoinformation systems in training of future geography specialists in higher education institutions by Olena Korol, Olesia Kornus, Anatolii Kornus

“…The possibilities of open programs are also presented; they can be used in the educational process (PhotoFiltre (mapping), XnView (viewing), Picasa (adding geotagging with which you can specify the capture area of any photo, using Google Earth and Google maps), Quantum GIS (can be used as the main platform for teaching students how to implement GIS and how to create the highest quality maps), Google Earth network services (electronic globe), ArcGIS Online (used to manage and share maps and geographic information), Golden SoftWare (Surfer) (universal mapping software that runs on Microsoft Windows and is used to quickly and accurately erase map surfaces and convert the provided data into contour, relief or post maps, three-dimensional surfaces, 3D frames or vector graphics). …”
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Implementation of a Digital Model of Thermal Characteristics Based on the Temperature Field by V. V. Pozevalkin, A. N. Polyakov

“…The implementation of digital twin technology in the process of designing technical facilities is the current direction of scientific research and development. …”
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Analysis of the most influential factors affecting outcomes of lung transplant recipients: a multivariate prediction model based on UNOS Data by Reza Safdari, Marsa Gholamzadeh, Hamidreza Abtahi, Mehrnaz Asadi Gharabaghi

“…Our primary objective was to identify the key factors that influence the allocation of priorities in LTx using machine learning (ML) techniques to enhance the process of prioritising patients.Design Developing a prediction model.Setting and participants Our data were retrieved from the United Network for Organ Sharing (UNOS) open-source database of transplant patients between 2005 and 2023.Interventions After the preprocessing process, a feature engineering technique was employed to select the most relevant features. …”
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SCM-DL: Split-Combine-Merge Deep Learning Model Integrated With Feature Selection in Sports for Talent Identification by Didem Abidin, Muhammed G. Erdem

“…In the literature, this process is called Talent Identification (TID) and is defined as “to know the players participating in the sport with the potential to be perfect.…”
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Decentralized Point-of-Care Manufacturing of CD19 Chimeric Antigen Receptor T Cells in Mexico by Rosario Salazar-Riojas, Dalila M. Alvarado-Navarro, Yair O. Chávez-Estrada, Ana K. Hernández-Navarro, Martha B. Ake-Uc, Nidia K. Moncada-Saucedo, José C. Jaime-Pérez, Sofía I. Quezada-Ramírez, Anna C. Rodriguez-Zuñiga, David Gómez-Almaguer, Andrés Gómez-De León

“…Clinical-grade CAR-T cell manufacturing was performed in a closed system using a second-generation CD19 vector with 41BB costimulatory domain. Quality control was assessed at different points in the production process with prespecified release criteria including product's aspect, sterility, cell viability, impurity, and quantity. …”
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Extraction of Inherent Amplitude Mode from a Light Beam by Zhiyang Xia, Xiaoyu Weng, Liwei Liu, Jun He, Changrui Liao, Yiping Wang, Junle Qu

“…Mode extraction is the inverse process of the double‐beam superposition principle in classical optics. …”
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Expert Assessment of a Ratio of Expenses at Construction of Oil Transport Infrastructure in the Arctic by A. G. Tutygin, V. B. Korobov, M. H. Gubaidullin, L. A. Chizhova

“…When assessing the cost of construction and operation of transport infrastructure in the early stages of the investment process, there is a problem in the formalization of some indicators of the factors influencing decision-making. …”
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MODERN DIAGNOSTICS METHODS OF NON-SPECIFIC PROTECTION OF PERIODONTAL TISSUES IN RESIDENTS OF THE INDUSTRIAL REGION by A.V. Samoilenko, S.V. Pavlov, I.V. Vozna

“…Statistica 13.0 licensed number JPZ804I382130ARCN10-J was used to process the results. The results of the study and their discussion. …”
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Nonreciprocal conversion based on line trajectory near exceptional points by Qingjie Liu, Wenrui Liu, Tong Li, Yingquan Ao, Shaolin Ke

“…Spatio-temporal permittivity modulation can simultaneously impart wave vector and frequency shifts during an indirect photonic transition process where nonreciprocal responses are accomplished. …”
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