Massively parallel variant-to-function mapping determines functional regulatory variants of non-small cell lung cancer by Congcong Chen, Yang Li, Yayun Gu, Qiqi Zhai, Songwei Guo, Jun Xiang, Yuan Xie, Mingxing An, Chenmeijie Li, Na Qin, Yanan Shi, Liu Yang, Jun Zhou, Xianfeng Xu, Ziye Xu, Kai Wang, Meng Zhu, Yue Jiang, Yuanlin He, Jing Xu, Rong Yin, Liang Chen, Lin Xu, Juncheng Dai, Guangfu Jin, Zhibin Hu, Cheng Wang, Hongxia Ma, Hongbing Shen

“…We developed a modified polygenic risk score using the potential causal variants from Chinese populations, improving the performance of risk prediction in 450,821 Europeans from the UK Biobank. …”
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Coal mining-induced composite damage to geological bodies and geological guarantee against damage reduction by Shuangming WANG, Qiang SUN, Xin HU, Jishi GENG, Enke HOU, Shengquan WANG, Shutao ZHOU, Qingmin SHI, Shihao YUAN, Kai CHEN, Shijie SONG

“…The purpose is to achieve transparent geological structure conditions, effective evaluation models and methods, optimized coal development models, advanced prediction of risk dynamics, and scientific strategies for geological security. …”
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Economic burden of breast cancer in India, 2000–2021 and forecast to 2030 by Rakesh N Pillai, Aleena Alex, Narassima M.S., Vivek Verma, Ajil Shaji, Keechilat Pavithran, D. K. Vijaykumar, Denny John

“…The result of the relative error of prediction (2.76%) also suggested that the model predicted well. …”
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Early risk assessment in paediatric and adult household contacts of confirmed tuberculosis cases by novel diagnostic tests (ERASE-TB): protocol for a prospective, non-interventiona... by Ursula Panzner, Katharina Kranzer, Tsitsi Bandason, Kuda Mutasa, Sandra Rukobo, Charles Sandy, Bariki Mtafya, Andrea Rachow, Norbert Heinrich, Michael Hoelscher, Judith Bruchfeld, Olena Ivanova, Nyanda Elias Ntinginya, Doreen Pamba, Laura Olbrich, Issa Sabi, Simeon Mwanyonga, Elmar Saathoff, Willyhelmina Olomi, Junior Mutsvangwa, Hazel M Dockrell, Edson Tawanda Marambire, Denise Banze, Alfred Mfinanga, Theodora D Mbunda, Khosa Celso, Gunilla Kallenius, Claire J Calderwood, Christof Geldmacher, Kathrin Held, Tejaswi Appalarowthu, Friedrich Rieß, Anna Shepherd, Christopher Sundling, Mishelle Mugava, Martha Chipinduro, Lwitiho Sudi, Antelmo Haule, Emmanuel Sichone, Paschal Qwaray, Harrieth Mwambola, Lilian Minja, Peter Edwin, Dogo Ngalison, Stella Luswema, Celina Nhamuave, António Machiana, Carla Madeira, Emelva Manhiça, Nádia Sitoe, Jorge Ribeiro

“…Better diagnostics, together with tools to predict disease progression, are critical for achieving WHO End-TB targets. …”
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Which Measure of Stone Burden is the Best Predictor of Interventional Outcomes in Urolithiasis: A Systematic Review and Meta-analysis by the YAU Urolithiasis Working Group and EAU... by Robert Geraghty, Amelia Pietropaolo, Lazaros Tzelves, Riccardo Lombardo, Helene Jung, Andreas Neisius, Ales Petrik, Bhaskar K. Somani, Niall F. Davis, Giovanni Gambaro, Romain Boissier, Andreas Skolarikos, Thomas Tailly

“…Patient summary: We reviewed different ways of measuring the size of stones in the kidney or urinary tract and compared their accuracy in predicting stone-free rates after treatment. We found that measurement of the stone area (2 dimensions) or stone volume (3 dimensions) is better than stone diameter (1 dimension) in predicting stone-free status after treatment.…”
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Detection Method of Effective Tillering of Rice in Field Based on Lightweight Ghost-YOLOv8 and Smart Phone by CUI Jiale, ZENG Xiangfeng, REN Zhengwei, SUN Jian, TANG Chen, YANG Wanneng, SONG Peng

“…Compared with the results of manual counting of effective tillers per plant, the accuracy of the App's prediction results was 99.61%, the recall rate was 98.76%, and the coefficient of determination was 0.985 9, indicating the reliability of the App and the established standards in detecting effective tillers of rice.…”
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Trends, outcomes and knowledge gaps in mobile apps for reproductive endocrinology and infertility: a scoping review protocol by Alba Regina de Abreu Lima, Emerson Roberto dos Santos, Aline Russomano de Gouvêa, Natália Almeida de Arnaldo Silva Rodriguez Castro, João Daniel de Souza Menezes, Matheus Querino da Silva, Helena Landin Gonçalves Cristóvão, Cíntia Canato Martins, Jéssica Gisleine de Oliveira, Patrícia da Silva Fucuta, Alexandre Lins Werneck, Gerardo Maria de Araújo Filho, Heloisa Cristina Caldas, Vânia Maria Sabadoto Brienze, Júlio César André, Antônio Hélio Oliani

“…Mobile apps have emerged as potential tools to assist in the management of infertility by offering features such as menstrual cycle tracking, ovulation prediction, fertility education, lifestyle modification guidance and emotional support, thereby promoting reproductive health. …”
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Tailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy by Nan Zheng, Yongchao Cai, Zehua Zhang, Huimin Zhou, Yu Deng, Shuang Du, Mai Tu, Wei Fang, Xiaole Xia

“…Furthermore, this dynamic response predictive model using structure-based supervised machine learning is established to predict enzyme function and fitness, demonstrating robust performance across different datasets and reliable prediction for epistasis. …”
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Nonlinear Creep Model of Deep Gangue Backfilling Material and Time-Dependent Characteristics of Roof Deformation in Backfilling Mining by Peng Huang, Jixiong Zhang, Qi Zhang, Ntigurirwa Jean Damascene, Yuming Guo

“…This research provides relevant guidance for the requirements of backfilling materials for deep backfilling mining and the prediction of long-term dynamic deformation of the roof in underground excavations.…”
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Fracture Characteristics and Disaster-Causing Mechanism of Rock Strata Based on Arch Mechanical Model of Plane Contact Block by Zhang Xin-chao, Du Feng, Tang Jun-hua, Wang Qin-ting, Lu Fei-fei

“…The research results provide an important guiding significance for prediction and prevention for dynamic disaster of rock strata in working face with large mining height.…”
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Dual-market quantitative trading: The dynamics of liquidity and turnover in financial markets by Qing Zhu, Chenyu Han, Yuze Li

“…The experimental results show that given a principal amount of 210,000.00 CNY, the final predicted net return is 226,538.30 CNY, a net return of 107.86%, which is 40.6% higher than the net return of a single Chinese market. …”
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Integrative Geospatial Analysis: Unveiling Insights through GIS Modeling and Statistical Evaluation of SPT-N and Soil Types Data of New Kabul City, Afghanistan by Mohammad Amini, Longsheng Deng, Waqas Hassan, Muhammad Naqeeb Nawaz, Fatima Zahra Zidane, Ranke Fang

“…Moreover, the correlation coefficient to predict soil type classification is 97%, and it stands at 95% for N-value prediction. …”
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Tree polynomials identify a link between co-transcriptional R-loops and nascent RNA folding. by Pengyu Liu, Jacob Lusk, Nataša Jonoska, Mariel Vázquez

“…We develop a computational pipeline for investigating and predicting R-loop formation from a genomic sequence. …”
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Diagnostic Accuracy Of Placental Thickness Measured By Ultrasonography In The Detection Of Intrauterine Growth Restricted (IUGR) Babies Keeping Actual Birth Weight As Gold Standard by Farkhanda Jabeen, Madiha Farhan, Maryam Amjad, Aeisha Begum, Nadia Gul, Salma Umbreen

“…We found a sensitivity of 65.5%, specificity of 83.3%, Positive Predictive Value( PPV) of 98.7%, Negative Predictive Value (NPV) of 10.8%, and diagnostic accuracy of 66.4% for antenatal prediction of IUGR based on placental thickness measurement. …”
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Establishing normal range of fetal renal artery RI and PI values in singleton pregnancies during 18-38 weeks of gestation by Beenish Nadeem, Naushaba Malik, Anam Zahoor

“…These may be applicable in antenatal practice to identify deviations from these reference ranges and will be beneficial in further studies related to prediction of fetal renal function.     …”
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Exploring self-victimhood’s place in moral personality and unethical organizational behavior by Thomas Wilmore, Ana Kriletic, Daniel Svyantek, Lilah Donnelly

“…Recent research has shown that a tendency for interpersonal victimhood (TIV) predicts maladaptive thinking and antagonistic behavior. …”
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Image recoloring detection based on inter-channel correlation by Nuo CHEN, Shuren QI, Yushu ZHANG, Mingfu XUE, Zhongyun HUA

“…Image recoloring is an emerging editing technique that can change the color style of an image by modifying pixel values.With the rapid proliferation of social networks and image editing techniques, recolored images have seriously hampered the authenticity of the communicated information.However, there are few works specifically designed for image recoloring.Existing recoloring detection methods still have much improvement space in conventional recoloring scenarios and are ineffective in dealing with hand-crafted recolored images.For this purpose, a recolored image detection method based on inter-channel correlation was proposed for conventional recoloring and hand-crafted recoloring scenarios.Based on the phenomenon that there were significant disparities between camera imaging and recolored image generation methods, the hypothesis that recoloring operations might destroy the inter-channel correlation of natural images was proposed.The numerical analysis demonstrated that the inter-channel correlation disparities can be used as an important discriminative metric to distinguish between recolored images and natural images.Based on such new prior knowledge, the proposed method obtained the inter-channel correlation feature set of the image.The feature set was extracted from the channel co-occurrence matrix of the first-order differential residuals of the differential image.In addition, three detection scenarios were assumed based on practical situations, including scenarios with matching and mismatching between training-testing data, and scenario with hand-crafted recoloring.Experimental results show that the proposed method can accurately identify recolored images and outperforms existing methods in all three hypothetical scenarios, achieving state-of-the-art detection accuracy.In addition, the proposed method is less dependent on the amount of training data and can achieve fairly accurate prediction results with limited training data.…”
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A dance movement quality evaluation model using transformer encoder and convolutional neural network by Jiping Qu

“…The core of the model is Quality Score Decoupling (QSD), which decouples and weights different quality dimensions of dance movements through attention mechanism, such as accuracy, fluency and expressiveness. Score Prediction module (SPM) uses Transformer network to further process the fused features, and outputs the final evaluation score through the full connection layer. …”
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The Implementation of Unified Application Data Collection and Analysis in Tobacco Enterprise Platform Design by Yong Jin, Weidong Lou

“…The ultimate goal of mobile data collection is to gather the collected data into the enterprise production data center, which plays an important role in mobile devices, mobile performance, mobile planning, mobile balancing, mobile prediction, and so on. Based on the unified mobile application data collection method, this paper analyzed and analyzed the design of application architecture in the tobacco enterprise platform and further described the business functions, security performance, and system characteristics of the platform.…”
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Data-Driven Consumption Load Monitoring and Adjustment Strategy in Smart Grid by Bingjie He, Jinxiu Xiao, Qiaorong Dai

“…This article puts forward a novel automatic process control strategy in order to monitor the gap between the consumers’ booked electrical energy consumption and optimal generation capacity by using statistical method to predict the future one. When the predicted value exceeds the boundary, the energy provider adopts the changeable electricity price to stimulate consumers to adjust their electrical energy demands so that it can have smoothly actual electrical energy consumption. …”
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