SYMBOLIC EXECUTION IN AUTOMATICALLY GENERATIONOF DATA OF SOFTWARE TESTING by Tô Hữu Nguyên, Nguyễn Hồng Tân, Hà Thị Thanh, Đỗ Thanh Mai

“…This paper also shows different challenges that need setting in this field such as the explosion of execution paths in a program, the ability of constraint solving, memory modelling or concurrent problems etc. The evaluation of published results is given in this paper as well.…”
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‘It’s a secret in my life’: frontstage and backstage experiences of women undergoing induced abortions in a rural community of Pakistan by Rubeena Slamat, Piet Bracke, Melissa Ceuterick

“…Even when women do opt for abortion, the experience is likely to result in the psychological burden of a lifelong memory.…”
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Pathway Detection from Protein Interaction Networks and Gene Expression Data Using Color-Coding Methods and A* Search Algorithms by Cheng-Yu Yeh, Hsiang-Yuan Yeh, Carlos Roberto Arias, Von-Wun Soo

“…On the other hand, our method is more efficient than previous ones and detects the paths of length 10 within 40 seconds using CPU Intel 1.73GHz and 1GB main memory running under windows operating system.…”
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Study on DEM Correction Method of Digital Twin Basic Data Baseboard by HONG Minghai, YAN Tao, LIU Hui, WANG Xingjian, JING Na, WANG Shiwei, WEI Wenjie, LI Xinan, FENG Chuqiao

“…DEM is one of the most important digital twin basic data and has played a huge role in water conservancy planning,design,and engineering construction.However,the existence of various DEM errors greatly reduces the credibility of analysis and application results.In particular,the missing value after terrain conversion to DEM greatly limits subsequent DEM-based analysis.Based on the principle of raster calculation,this paper calls the corresponding tool of ArcGIS by Python to correct the missing value at the overlapped area of a certain terrain converted to DEM by using the mean of eight valued pixels around the pixel.The results show that the calculation method is highly applicable,reliable,and fast.The data of the corrected and compared values of 306 NoData pixels in the study area are close to the 1∶1 line;the maximum difference between the corrected and compared values is only 3.55 m,and the medium error value is 0.75,which is far below the standard error limit.Calling Numpy through Python greatly improves the calculation speed (10 s),and ArcGIS currently has no tool for directly correcting this method.In contrast,the DEM correction method proposed in this paper can be processed in batch,without processing failures due to memory limit,which greatly improves the work efficiency and has a strong application value for processing digital twin basic data.…”
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Detection freezing of gait (FOG) in Parkinson's patients using wearable sensors and deep learning by Maryam Talebvand, Amir Lakizadeh, Faranak Fotouhi

“…The proposed methoddetects FOG by providing a deep neural network architecture based on two-way short-term memory networks (BDL-FOG). Experimental results show that the proposed method, due to its better compatibility with time-series data, has been able to improve the FOG detection process to achieve higher accuracy than the best available methods.…”
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Towards Kyrgyz stop words by Ruslan Isaev, Gulzada Esenalieva, Ermek Doszhanov

“…Stop words are used to reduce noisy text data, remove uninformative words, speed up text processing, and minimize the amount of memory required to store data.The Kyrgyz language is an agglutinative Turkic language for which no scientific study of stop words has been previously published in English. …”
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Secure biometric-based authentication scheme with smart card revocation/reissue for wireless sensor networks by YoHan Park, SungYup Lee, ChangKyun Kim, YoungHo Park

“…The issue of securing and authenticating communications in such a network is problematic, and thus an adversary has an opportunity to capture a sensor node directly from the target field and extract all the information from its memory. In 2013, Yoon and Kim proposed an advanced biometric-based user authentication scheme for WSNs. …”
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La contribución de las Funciones Ejecutivas a la Autorregulación by Lorena Canet Juric, Isabel Introzzi, María Laura Andrés, Florencia Stelzer

“…Para esto, se efectuó una búsqueda bibliográfica en las bases de datos, PsycInfo, ScienceDirect y Pubmed con los términos generales en inglés autorregulación (self-regulation), auto-control (self-control), funciones ejecutivas (executive functions), memoria de trabajo (working memory), flexibilidad cognitiva (cognitive flexibility), inhibición (inhibition), regulación emocional (emotion regulation), lectura (Reading), y matemática (math) y niños (children) combinado con el operador boleano “AND”. …”
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Lightweight Photo-Response Non-Uniformity Fingerprint Extraction Algorithm Based on an Invertible Denoising Network by Zihang Yuan, Yanhui Xiao, Huawei Tian

“…Specifically, to reduce the number of parameters, the deep network uses a constant amount of memory to compute the gradient and employs the same parameters for both forward and backward propagation. …”
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An investigative analysis – ChatGPT’s capability to excel in the Polish speciality exam in pathology by Michał Bielówka, Jakub Kufel, Marcin Rojek, Dominika Kaczyńska, Łukasz Czogalik, Adam Mitręga, Wiktoria Bartnikowska, Dominika Kondoł, Kacper Palkij, Sylwia Mielcarska

“…The results achieved varied by question type and subtype, with better results in questions requiring “comprehension and critical thinking” than “memory”. The analysis shows that, although ChatGPT-3.5 can be a useful teaching tool, its performance in providing correct answers to pathomorphology questions is significantly lower than that of human respondents. …”
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Optimizing Neuropsychological Assessments for Cognitive, Behavioral, and Functional Impairment Classification: A Machine Learning Study by Petronilla Battista, Christian Salvatore, Isabella Castiglioni

“…Our findings show that some tests are more frequently best predictors for the automatic classification, namely, LM, ADAS-Cog, AVLT, and FAQ, with a major role of the ADAS-Cog measures of delayed and immediate memory and the FAQ measure of financial competency.…”
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Amyloid Imaging in Aging and Dementia: Testing the Amyloid Hypothesis In Vivo by G. D. Rabinovici, W. J. Jagust

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Research on the Application of Reinforcement Learning in Traffic Flow Prediction by Hu Yiquan

“…Additionally, the article discusses the application of RL-based Long Short-Term Memory Networks, Graph Convolutional Networks (GCN), and Dynamic GCN in TFP. …”
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The edge of chaos is that where consciousness manifests itself through intermittent dynamics by Valeriy Sbitnev

“…A set of lingua quanta composes a thesaurus placed on the edge of chaos. Its library is a memory, modification of which is due to tuning of memristive neural elements scattered in the brain volume. …”
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A frame-semantic approach to conceptual metaphors in the domain of emotion by Phillip A. Neumair, Fiona M. Gehrecke, Stefan Hartmann, Alexander Ziem

“…., structures of knowledge in long-term memory) in their own right. For modeling both the source and target domains of metaphors, the CoMetNet (Conceptual Metaphor Network) project uses frames documented in the German FrameNet-Constructicon project in spite of ad hoc created domains in previous literature. …”
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Spontaneous thought separates into clusters of negative, positive, and flexible thinking by Marta Migó, Jessica A. Cooper, Philip A. Kragel, Michael T. Treadway

“…Abstract The nature and frequency of spontaneous thoughts play a critical role in cognitive processes like perception, decision-making, attention, and memory. Deficits in these processes are also greatly associated with the development and maintenance of psychopathology. …”
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Toponymie littorale aux îles Marquises, Fenua ‘Enata/Henua ‘Enana, Polynésie orientale (Polynésie française) by Pierre Ottino-Garanger, Marie-Noëlle Ottino-Garanger

“…Sharing knowledge is necessary as well as collaboration between protagonists in order to stimulate and mobilize memory so as to rediscover names, locations and uses. …”
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Enhanced Fault Detection in Solar Photovoltaic Modules Using VMD-LSTM Model by Sikandar Shah Syed, Bin Li

“…This paper presents a new fault detection method that combines Empirical Mode Decomposition (EMD) with the power of Long Short-Term Memory (LSTM) networks. Critical features are efficiently extracted from the data by use of an adaptive decomposition of voltage and current signals into Intrinsic Mode Functions k(IMFs) through the use of EMD. …”
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Lessons of the Great Patriotic War and World War II for Contemporary Russia by I. I. Belousov

“…And let time more and more we move away from the victory of 1945, the value and results of the war are enormous for the future of the modern world. Memory of the Great Victory presents to all of us now living, special requirements, the main of which consists in the fact that based on the analysis draw the necessary lessons from the past, draw the right conclusions for the safety of modern Russia. …”
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Dystopia, surveillance and the spaces of social control in Jenni Fagan’s The Panopticon (2012) by Claire Wrobel

“…Although the text explicitly reappropriates the Panopticon designed by Jeremy Bentham (1748-1832), an invention itself riven by the tension between utopia and dystopia, and echoes Michel Foucault’s strategic reading in Discipline and Punish (1975), the virulent critique it levels at the welfare state echoes some of the central issues to be found in George Orwell's attack on totalitarian states, particularly those related to memory and language. The adoption of a first-person narrator allows Fagan to speak out against surveillance that consists in control only and to oppose dehumanizing institutional discourse.…”
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