The role of circadian rhythm regulator PERs in oxidative stress, immunity, and cancer development by Baimei Zhao, Eugenie Nepovimova, Qinghua Wu

“…We examine the evidence that highlights how dysfunctions in PERs activities initiate cancer development, aid tumor growth, and modify cancer cell metabolism through pathways involved in oxidative stress and immune system. …”
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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 efficient discrimination of abnormal EMG signals, myopathy and amyotrophic lateral sclerosis, engage crucial role in automatic diagnostic assistance tools, since EMG signals are nonstationary signals. Hence, for computer-aided identification of abnormalities, extraction of features, selection of superlative feature subset, and developing an efficient classifier are indispensable. …”
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A comparative assessment of machine learning models and algorithms for osteosarcoma cancer detection and classification by Amoakoh Gyasi-Agyei

“…Thus, the proposed models can be cutting-edge techniques for automated detection and classification of osteosarcoma tumors to aid timely diagnosis, prognosis, and treatment.…”
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Numerical characterization of hemodynamics conditions near aortic valve after implantation of left ventricular assist device by Annalisa Quaini, Sunčica Čanić, David Paniagua

“…Left Ventricular Assist Devices (LVADs) are implantable mechanical pumps that temporarily aid the function of theleft ventricle. The use of LVADs has been associated with thrombus formation next to the aortic valve and close to the anastomosis region,especially in patients in which the native cardiac function isnegligible and the aortic valve remains closed.Stagnation points and recirculation zones have been implicated as the main fluid dynamics factors contributing to thrombus formation.The purpose of the present study was to develop and use computer simulations based on afluid-structure interaction (FSI) solver to study flow conditions corresponding to different strategies inLVAD ascending aortic anastomosis providing a scenario with the lowest likelihood of thrombus formation.A novel FSI algorithm was developed to dealwith the presence of multiple structures corresponding to different elastic properties ofthe native aorta and of the LVAD cannula.A sensitivity analysis of different variables was performed to assess their impact of flow conditionspotentially leading to thrombus formation.It was found that the location of the anastomosis closest to the aortic valve(within 4 cm away from the valve)and at the angle of 30$^\circ$ minimizes the likelihood of thrombus formation.Furthermore, it was shownthat the rigidity of the dacron anastomosis cannula plays almost no role in generating pathologicalconditions downstream from the anastomosis.Additionally, the flow analysis presented in this manuscriptindicates that compliance of the cardiovascular tissue acts as a natural inhibitor of pathological flow conditions conducive to thrombus formationand should not be neglected in computer simulations.…”
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Vertical marginal gap evaluation of PEEK and Zirconia crowns using extra-oral scanner and CAD/CAM systems (An Invitro study). by Raz Ali Aula, Jawad Mohammed Mikaeel

“…The vertical marginal gap between the crown's margin and the finishing line was measured for each crown on the reference model with the aid of a stereomicroscope in 160x. Results: The average (mean) for the marginal gap of proximal, buccal and lingual surfaces of both PEEK, and zirconia materials were: 409.097 μm, 112.869 μm, 198.563 μm, for PEEK and, 105.085 μm, 27.659 μm, 45.135 μm for zirconia respectively. …”
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Relationship of personality, psychological distress, and substance use with social network characteristics of college going young adults by P C Pradeep Kumar, Sojan Antony, Pratima Murthy, Ammapattian Thirumoorthy, Mariamma Philip

“…Method: This cross-sectional descriptive study involved 902 undergraduate students from the government (n = 2) and government-aided (n = 9) colleges. The socio-demographic data sheet, Big Five Personality Inventory, Depression Anxiety and Stress Scale, and the semi-structured Ego-centric Social Network Questionnaire were used to collect data. …”
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Bone Mineral Density Prediction from CT Image: A Novel Approach using ANN by S. L. Resmi, V. Hashim, Jesna Mohammed, P. N. Dileep

“…Bone mineral density (BMD) monitoring will definitely aid in the prediction and prevention of medical emergencies arising from osteoporosis. …”
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Uncovering NK cell sabotage in gut diseases via single cell transcriptomics. by Hansong Lee, Dai Sik Ko, Hye Jin Heo, Seung Eun Baek, Eun Kyoung Kim, Eun Jung Kwon, Junho Kang, Yeuni Yu, Ninib Baryawno, Kihun Kim, Dongjun Lee, Yun Hak Kim

“…Overall, we elucidated the comprehensive UC and CRC immune microenvironments and NK cell-mediated immune responses. Our findings can aid in selecting therapeutic targets that increase the efficacy of immunotherapy.…”
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Separation and Analysis of Boron Isotope in High Plant by Thermal Ionization Mass Spectrometry by Qingcai Xu, Yuliang Dong, Huayu Zhu, Aide Sun

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Effect of addition of silver nanoparticles on flexural and impact strength of heat cure acrylic resin by Ranj A. Omer, Fahd S. Ikram

“…Materials and methods: Silver nanoparticles were impregnated at 1%, 3% and 5% by weight to the monomer of methyl methacrylate with the aid of probe sonicator. Afterward, they were mixed with the acrylic powder. …”
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Early Detection of Pancreatic Cancer: Opportunities Provided by Cancer-induced Paraneoplastic Phenomena and Artificial Intelligence by Wei-Chih Liao

“…S100A9 and galectin-3 are novel PDAC-derived factors mediating pancreatic cancer-associated diabetes and have shown promise in facilitating the early detection of PDAC. Novel computer-aided detection tools based on AI technologies, including deep learning and radiomic analysis with machine learning, have achieved accurate detection and might supplement human interpretation to improve the sensitivity for early PDAC on CT images. …”
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Measurement and identification of areas susceptible to flood spreading from the viewpoint of geological formations in Birjand watershed using RS / GIS by Parviz Ziaiian Firouz Abadi, Ayoub Badragh Nejad, Reza Sarli, Mahboub Babaie

“…However, rivers have had an effective role in urban development and human civilization, therefore, identification of flood prone areas and flood part in the potent lower fields of Birjand watershed would lead to aid feeding the artificial environment of the water shed and would also lead to increase of quality in the environment fields. …”
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Untargeted Metabolomic Study of Patients with Macular Edema Secondary to Retinal Vein Occlusion in Aqueous Humor by Wei Q, Luo L, Min Y, Gong Y, Wang L

“…These findings may offer new avenues for the treatment of RVO-ME and aid in differentiating between CRVO-ME and BRVO-ME patients.Keywords: metabolomic, retinal vein occlusion, macular edema, aqueous humor…”
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Kazakh Initiatives on Cooperation with European Union by R. S. Kurmanguzhin

“…In 2008 under the instructions of the President of Kazakhstan Ministry of Foreign Affairs in cooperation with other ministries developed a state programme "Path to Europe" for 2009 - 2011, which aided the priorities of cooperation between Kazakhstan and the European Union. …”
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Tracking of The Most Significant Laboratory Parameters For The Identification of Covid-19: An Overview on The Different Blood Tests by Seenaa Ali

“…There is an accelerated need for detecting the laboratory tests that can aid in identifying infected people and asymptomatic carriers to control the virus transmission process. …”
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Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research by Getnet Molla Desta, Getnet Molla Desta, Alemayehu Godana Birhanu

“…In recent years, significant advancements in biochemistry, materials science, engineering, and computer-aided testing have driven the development of high-throughput tools for profiling genetic information. …”
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La place des scientifiques dans un processus de gestion intégrée des zones côtières : évaluation des pressions polluantes d’origine terrestre sur la baie du Robert (Martinique)... by Anne Rizand, P. Mariel, K. Pinte

“…The environmental indicators allowed us to make an inventory of the diffuse pollutions affecting the watershed and provided first decision making-aid tools for the local executives.The economic and social scientific team is focusing its work on the perception of the ICZM by a key group of local actors: the fishermen. …”
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Local and Deep Features Based Convolutional Neural Network Frameworks for Brain MRI Anomaly Detection by Sajad Einy, Hasan Saygin, Hemrah Hivehch, Yahya Dorostkar Navaei

“…For this reason, this study aimed to develop computer-aided systems for the diagnosis of brain tumors. …”
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Sustainable materials for artificial intelligence (AI) technology adoption for energy-efficient patient-centric healthcare solutions by Lakshmipriya Bachina, Anusha Kanagala, Sattibabu Korapu, P Ratnaraju

“…The development of sustainable and renewable resources to aid the adoption of artificial intelligence (AI)-driven healthcare solutions is the goal of sustainable materials for AI technology. …”
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Significance of histopathological features in the diagnosis of Budd–Chiari syndrome on liver biopsies by Pallavi Prasad, Anurag Singh, Alka Singh, Prabhaker Mishra, Narendra Krishnani

“…Aims: To determine which constellation of morphologic findings could aid in establishing a diagnosis of BCS in clinically suspected cases. …”
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