Characterization of intrinsic subtypes of breast cancer and their relationship with staging: an observational study by Paola Tapia-Uriol, Lorena Becerra-Goicochea, Lorena Becerra-Goicochea, Víctor Campos-Valderrama, Juana del Valle-Mendoza, Miguel Angel Aguilar-Luis, Wilmer Gianfranco Silva-Caso

“…The highest frequency of identified cases was in the advanced stages, highlighting the need for personalized treatments and improved early detection strategies.…”
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Title not available by Silvia R. D. T. de Siqueira, Mariana Siviero, Fábio K. Alvarez, Manoel J. Teixeira, José T. T. de Siqueira

“…Cold, warm, and tactile detections and pain thresholds were similar among the groups. …”
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The role of PET/CT in the diagnosis of metastatic uveal melanoma by S. V. Saakyan, K. V. Avakyan, A. G. Amiryan, I. P. Aslanidi, O. V. Mukhortova

“…PET/CTis the most informative examination method enabling the detection of malignant focal processes and accompanying pathologies which is crucial for choosing the optimal treatment of UM patients and may be able to increase their life expectancy // Russian ophthalmological journal. 2017; 10 (2): 54-61. …”
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Tinjauan Peran Penelitian Personel dalam Pencegahan Ancaman Radikalisme pada Proses Rekrutmen Bintara di Lingkungan TNI Angkatan Darat by Rizki Yudha Meidiantara, Budi Prasetyono, Supriadi Supriadi

“…One of the efforts that the Indonesian Army can undertake is through personnel research in the recruitment process for non-commissioned officers (bintara). This research aims to analyze the role of personnel research in preventing the threat of radicalism within the Indonesian Army AD environment in the recruitment process for non-commissioned officers. …”
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Energy-ordered resource stratification as an agnostic signature of life by Akshit Goyal, Mikhail Tikhonov

“…However, most such biosignatures require assuming specific metabolic processes. It is widely recognized that life on other planets may not resemble that of Earth, but identifying biosignatures “agnostic” to such assumptions has remained a challenge. …”
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Mixed and Continuous Strategy Monitor-Forward Game Based Selective Forwarding Solution in WSN by Hongmei Liao, Shifei Ding

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Increasing use of artificial intelligence in genomic medicine for cancer care- the promise and potential pitfalls by Olivia O’Connor, Terri P. McVeigh

“…Artificial intelligence thrives on data, processing and learning from datasets with a degree of accuracy and efficiency that traditional computing algorithms can not achieve. …”
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Multiperson Target Dynamic Tracking Method for Athlete Training Based on Wireless Body Area Network by Diandian Du

“…First, the microinertial sensor in the wireless body area network is used to collect the multiperson image data of the athlete training, and the sparse representation is performed after processing, which improves the reliability of the data and reduces the tracking error. …”
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Research on R600a Energy-saving Compressor by 李刚, 陈爱东, 范树林, 张凤林, 王军

“…The factors influencing the COP of compressors were analyzed The compression efficiency was increased by adopting the non-valve guard suction reed valve and thin steel valve plate,using semi-direct suction manner and muffler,optimizing heat transfer of the suction inlet and cylinder head,and changing the diameters of the suction hole and discharge hole of the valve plate and inner-discharge pipe.Applying the slender crankshaft,the level rolling bearing technology,and lower viscosity refrigeration oil,increased the mechanical efficiency.The design of the motor was optimized by adopting RSCR motor with optimizing capacitor design,using high magnetic strength and low dissipation silicon-steel sheet,raising the height of stator,and increasing the main coil.The processing accuracy of the component,the fit-up gaps of the moving parts, the requirements of gas tightness detection,and the fit-up technology of the rotors and stators were proposed.The experiments and comparisons show that the COP of this newly developed R600a compressor can reach 1.75.…”
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Nanosecond level time synchronization in datacenter network based on Telemetry architecture by Qianli ZHANG, Chaofan ZHANG, Jilong WANG, Xiangyu TANG, Zhengchen SHEN, Hui WANG

“…To solve the problems of the traditional local time synchronization architecture being disconnected from centralized management, requiring extra interaction overhead, meanwhile with less time data susceptible to outliers, the nanosecond level time synchronization system was proposed based on Telemetry for the high-precision time synchronization requirements of data center networks.Combined with the outlier factor detection algorithm, timestamp information within the background traffic of the data center was collected, the large amount of time information reported was processed and analyzed, and a centralized automatic synchronization with nanosecond level precision was eventually achieved, which was convenient for subsequent global network scheduling.The proposed system was implemented and evaluated on the programmable switch.Experimental results show that between multiple hops and at different link rates, the nodes can achieve high-precision time synchronization at the nanosecond level.…”
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FINANCIAL DIAGNOSTICS OF BANKRUPTCY RISK IN AGRICULTURE: THE CASE OF BULGARIAN ENTERPRISES by Dimitrina STOYANCHEVA, Rumyana ANGELOVA

“…The present study makes financial diagnostics of enterprises from the agricultural sector in Bulgaria in order to carry out a thorough analysis of the trends related to the development of economic processes and the possibility of early detection of financial difficulties. …”
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Estimation of the Chances to Find New Phenomena at the LHC in a Model-Agnostic Combinatorial Analysis by Sergei V. Chekanov

“…We use numerical calculations and combinatorics, guided by large-scale Monte Carlo simulations of Standard Model (SM) processes. Then, we set the upper limit on the probability that new physics may escape detection, assuming a model-agnostic approach. …”
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A Framework for Hardware-Accelerated Services Using Partially Reconfigurable SoCs by MACHIDON, O. M., HINTEA, S., SANDU, F.

“…The framework provides a scalable, dynamic management of the tasks and hardware processing cores, based on dynamic partial reconfiguration of the SoC. …”
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Inter-Annotator Agreement and Its Reflection in LLMs and Responsible AI. by Amir Toliyat, Elena Filatova, Ronak Etemadpour

“… Recent research on Responsible AI, particularly in addressing algorithmic biases, has gained significant attention. Natural Language Processing (NLP) algorithms, which rely on human-generated and human-labeled data, often reflect these challenges. …”
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Creating a Quasi-Resonant Induction Cooktop Integrating Zero-Voltage Switching (ZVS) and Load Management by Ahmet Aksöz

“…This study aims to elucidate the development and construction of a durable induction cooktop, with key considerations including efficiency, power customization, and safety features. The intricate processes involved in crafting a 3.5 kW induction burner are thoroughly examined, encompassing simulations for quasi-resonant inverters, the meticulous selection of induction coils and capacitors, the implementation of practical Analog-to-Digital Converter (ADC) filtration, pulse width modulation (PWM) driving techniques, and the integration of protection mechanisms. …”
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A method for feature division of Soccer Foul actions based on salience image semantics. by Jianming Wang, Lifeng Li

“…DLSPM combines the improved DeepPlaBV 3+architecture for salient region detection, Graph Convolutional Networks (GCN) for feature extraction and Deep Neural Network (DNN) for classification. …”
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Sonification: Review of Auditory Display Solutions in Electronic Travel Aids for the Blind by Michał BUJACZ, Paweł STRUMIŁŁO

“…The review covers both those commercially available and those in various stages of research, according to the input used, level of signal processing algorithm used and sonification methods. …”
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Emerging technologies transforming the future of global biosecurity by Renan Chaves de Lima, Renan Chaves de Lima, Juarez Antonio Simões Quaresma

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Transcript counting in single cells reveals dynamics of rDNA transcription by Rui Zhen Tan, Alexander van Oudenaarden

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Exploring Deep Learning Model Opportunities for Cervical Cancer Screening in Vulnerable Public Health Regions by Renan Chaves de Lima, Juarez Antonio Simões Quaresma

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