Addressing inhaler technique challenges in cognitively impaired chronic obstructive pulmonary disease patients: the impact of customized training programs by Vaishnavi V Gaonkar, Vinay V Shanbhag, Shreya S Kajave, Mahek R Mattikop, Mandati Santhosh Reddy

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Soybeans tempeh image dataset for tempeh maturity detectionGitHub by Riccosan, Soni Yora, Nur Azmi Karim, Ezrela Fidelyn Surya Wibisana

“…The creation of tempeh until now still utilizes the traditional method from the beginning, observation, until the collection of the final product, which still includes the human role inside the process. The process of creating tempeh products takes approximately 1 to 4 days. …”
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Organizational And Social Technologies For Early Cancer Detection Among General Population by N. O. Maikova, I. Y. Artyukhin, J. A. Yeremina

“…In this review, organizational technologies for early cancer detection including screening programs and patient information management systems are discussed. …”
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Seasonality, molecular epidemiology, and virulence of Respiratory Syncytial Virus (RSV): A perspective into the Brazilian Influenza Surveillance Program. by Lucas A Vianna, Marilda M Siqueira, Lays P B Volpini, Iuri D Louro, Paola C Resende

“…RT-qPCR allowed for viral detection and viral load quantification, to evaluate association with clinical features and mapping of local viral seasonality. …”
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Designing an algorithm to detect depression in users: A quantitative correlational study. by Hodan, T.

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Dynamic Characteristics of Cylinder Push in Bearing Cylindrical Ｒoller Detection System by CHEN Xiao-jian, BAO Yu-dong, PAN Cheng-yi, ZHAO Yan-ling, ZHANG Shi-heng

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Relationship between programmed cell death ligand 1 expression and the number of biopsy specimens in advanced gastric cancer by Taro Mizuno, Yukiya Narita, Yasunobu Ishizuka, Tomoki Sakakida, Kazunori Honda, Toshiki Masuishi, Hiroya Taniguchi, Shigenori Kadowaki, Masashi Ando, Masahiro Tajika, Kei Muro

“…Abstract Purpose Programmed cell death ligand 1 (PD-L1) expression in advanced gastric cancer (AGC) exhibits spatial heterogeneity, which may lead to sampling bias during biopsies. …”
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A DIGITAL QUALITY ASSESSMENT OF BAMBOOSHOOTS.AI FOR HARVEST AND PEST DETECTION by Charlot L. Maramag, Thelma D. Palaoag

“…This research offered an in-depth evaluation of "BambooShoots.AI," a platform aiding bamboo cultivators in harvest timing and pest detection. Using a quantitative method, it incorporated Lund A.M.'…”
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SPARTA: Interpretable functional classification of microbiomes and detection of hidden cumulative effects. by Baptiste Ruiz, Arnaud Belcour, Samuel Blanquart, Sylvie Buffet-Bataillon, Isabelle Le Huërou-Luron, Anne Siegel, Yann Le Cunff

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Vahagn: VisuAl Haptic Attention Gate Net for slip detection by Jinlin Wang, Yulong Ji, Hongyu Yang

“…The success of a specific grasping maneuver is contingent upon the confluence of two factors: the spatial accuracy of the contact and the stability of the continuous process.MethodsIn this paper, for the task of perceiving grasping results using visual-haptic information, we propose a new method for slip detection, which synergizes visual and haptic information from spatial-temporal dual dimensions. …”
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Related and independent variable fault detection method based on KPCA-SVM by GUO Jinyu, YU Huan, LI Yuan

“…In the real industrial process, some process variables are independent of other variables, a fault detection method of related and independent variable based on kernel principal component analysis and support vector machine (KPCA-SVM) is proposed to detect these independent variables separately from related variables. …”
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Detection of in silico SSR Markers Specific to Uzun and Kırmızı Cultivars in Pistachio by Harun Karcı

“…In the current paper, it was aimed to detect the SSR markers that can be used in the prevention of confusion that may occur in breeding or nurseries, and directly genetically separating Uzun and Kırmızı pistachio cultivars from other commercial cultivars. …”
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Detecting Floating-Point Expression Errors Based Improved PSO Algorithm by Hongru Yang, Jinchen Xu, Jiangwei Hao, Zuoyan Zhang, Bei Zhou

“…The use of floating-point numbers inevitably leads to inaccurate results and, in certain cases, significant program failures. Detecting floating-point errors is critical to ensuring that floating-point programs outputs are proper. …”
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Lightweight malicious domain name detection model based on separable convolution by Luhui YANG, Huiwen BAI, Guangjie LIU, Yuewei DAI

“…The application of artificial intelligence in the detection of malicious domain names needs to consider both accuracy and calculation speed,which can make it closer to the actual application.Based on the above considerations,a lightweight malicious domain name detection model based on separable convolution was proposed.The model uses a separable convolution structure.It first applies depthwise convolution on every input channel,and then performs pointwise convolution on all output channels.This can effectively reduce the parameters of convolution process without impacting the effectiveness of convolution feature extraction,and realize faster convolution process while keeping high accuracy.To improve the detection accuracy considering the imbalance of the number and difficulty of positive and negative samples,a focal loss function was introduced in the training process of the model.The proposed algorithm was compared with three typical deep-learning-based detection models on a public data set.Experimental results denote that the proposed algorithm achieves detection accuracy close to the state-of-the-art model,and can significantly improve model inference speed on CPU.…”
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Comparative study of apoptosis-detecting techniques: TUNEL, apostain, and lamin B by Jirina Prochazkova, Dana Kylarova, Pavel Vranka, Vaclav Lichnovsky

“…Unfortunately, so is its detection. The concept of detection sensitivity reflects not only the ability of a particular technique to label most of the cells displaying the appropriate marker but also the possibility of labeling cells in the earliest phase of the apoptotic process. …”
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Automatic gait EVENT detection in older adults during perturbed walking by Shuaijie Wang, Kazi Shahrukh Omar, Fabio Miranda, Tanvi Bhatt

“…The results highlight the efficacy of kinematic approaches, demonstrating their potential in gait event detection for clinical settings. When integrated with wearable sensors or computer vision techniques, these methods enable real-time, precise monitoring of gait patterns, which is helpful for applying personalized programs for fall prevention. …”
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AI-based defect detection and self-healing in metal additive manufacturing by Jan Akmal, Kevin Minet-Lallemand, Jukka Kuva, Tatu Syvänen, Pilvi Ylander, Tuomas Puttonen, Roy Björkstrand, Jouni Partanen, Olli Nyrhilä, Mika Salmi

“…This pilot study develops a process to evaluate in-situ defect detection and self-healing in Ti-6Al-4V fabricated using laser-based powder bed fusion. …”
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On Some Issues of Handprints Detection and the Mechanism of Trace Formation on Porous Surfaces by V. A. Vasil’ev, T. A. Ermakova, Yu. A. Druzhinin, I. B. Afanas’ev, T. Yu. Yudina, E. Yu. Rusanov

“…For more comprehensive research of this process, the authors of the article have conducted multiple experiments on the ninhydrin reaction with the sweat and grease of the deposits, analyzed the interaction of the chemical agent with the sweat and grease, with the properties of porous (paper) materials using electron microscopy, and also looked into the display features of pore and edgeoscopic signs in the deposits under different storage conditions.As a result of the research, it is shown that such parameters of deposits carriers (paper) as porosity and hydrophilic properties and ambient humidity as well as the time of storage have a significant influence on the process of detecting the sweat and grease deposits on porous surfaces and their quality.…”
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Partnering with Young Parents to Improve Early Hearing Detection and Intervention Programmes by Genevieve Choi, Holly Teagle, Suzanne C. Purdy, Andrew Wood

“…<b>Background:</b> Early Hearing Detection and Intervention (EHDI) programmes must partner effectively with families navigating complex circumstances. …”
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A multi-item signal detection theory model for eyewitness identification by Yueran Yang, Janice L. Burke, Justice Healy

“…This paper proposes a multi-item signal detection theory (mSDT) model to help understand the witness decision-making process. …”
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