The Degradation Process Modeling and Shelf Life Prediction of Drug by ZHOU Zhen, LI Han-bin, QI Jia, MA De-zhong

“…To solve the problem of individual difference in the same batch cannot be considered during the traditional degradation process modeling, an effective method is proposed to fuse priori degenerate data with site degraded data which can predict shelf life for the monolithic drug and new drugs Determining the distribution of model parameters based on prior information, fusion of field data to update parameters by Bayes On this basis, predict the shelf life of the monolithic drug The results show that the No5 loaded and bottled drugs’ shelf life predicted values are 4395 and 4747 weeks The relative errors are 0043 and 0051 And the feasibility of fusing degradation data to predict the shelf life of the monolithic drug and new drugs is verified…”
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A Warning Method of Traction Motor Filter Clogging Based onRecurrent Neural Network by ZHANG Shiqiang, DAI Jisheng, XU Hailong, ZHAN Yanhao

“…By this method, motor temperature is predicted in real time based on the existing data of train, and motor filter clogging warning is realized according to the residual relationship between predicted values and actual values. Application results of a subway operation vehicle show that this method can accurately warn the clogging problem of motor filter, guide precise maintenance, and effectively promote the process of state maintenance.…”
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Mothers and fathers do not accurately report each other’s psychopathology by Sharon K. Hunter, Kate Hanna, Gary O. Zerbe, Randal G. Ross

“…For fathers who did participate, maternal report did not match direct interview of paternal psychopathology with sensitivities less than 0.40 and positive predictive values of 0.33 to 0.74. Psychopathology may be over-represented among fathers who do not participate in research. …”
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Comparative of metagenomic and targeted next-generation sequencing in lower respiratory tract fungal infections by Zhiyang Chen, Zhiyang Chen, Zhiyang Chen, Xin Liu, Xin Liu, Xin Liu, Li Tan, Li Tan, Li Tan, Xing Lyu, Xing Lyu, Xing Lyu, Qichen Long, Qichen Long, Qichen Long, Weimin Wu, Weimin Wu, Weimin Wu, Zhe Guo, Zhe Guo, Zhe Guo, Zhenni Liu, Zhenni Liu, Zhenni Liu, Ziyang Li, Ziyang Li, Ziyang Li, Min Hu, Min Hu, Min Hu

“…They also demonstrated positive predictive values (PPVs) of 92.1% and 87.9% and negative predictive values (NPVs) of 94.2% and 93.9%, respectively, in diagnosing IPFI. …”
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Malaria infection prevalence and diagnostic performance of the Abbott Bioline Malaria Ag P.f/Pan rapid test in rural populations of Central Cameroon by Viviane Ongbassomben Missoup, Pierre Fongho Suh, Carine Nkodo Ndjebakal, Darus Tagne, Yacouba Poumachu, Steve Joko, Alima Kouamendjouo Djilla, Flobert Njiokou, Wilfred Mbacham, Charles Wondji, Cyrille Ndo

“…The positive and negative predictive values were respectively 84.43% (CI:81.01%-87.46%) and 85.71% (CI:80.13%-90.22%). …”
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Performance evaluation of SARS-CoV-2 rapid diagnostic tests in Nigeria: A cross-sectional study. by Akhere A Omonkhua, Adedayo Faneye, Kazeem S Akinwande, Okpokoro Evaezi, Nathan Y Shehu, Adedeji Onayade, Chinwe Lucia Ochu, Mustapha Popoola, Nnadi Emmanuel, Temitope Ojo, Cornelius Ohonsi, Abdullahi Abubakar, Elizabeth Odeh, Paul Akinduti, Onikepe Folarin, John Samson Bimba, Ehimario Igumbor, Kelly Elimian, Victory Fabian Edem, Luka Pam D, Tunde Olusola, Loretta Ntoimo, Michael Olugbile, Adewale Victor Opayele, Ibrahim Kida, Shwe David, Augustine Onyeaghala, Isaac Igbarumah, Omosivie Maduka, Magaji A Mahmoud, Abdul Rahman El-Fulatty, David O Olaleye, Omale Simon, Iriagbonse Iyabo Osaigbovo, Darlington Ewaen Obaseki, Afolaranmi Tolulupe, Christian Happi, Yusuf Bara Jibrin, Friday Okonofua, Timan Eliya, Gomerep Simji, Izang Joy Abi, Emmanuel Ameh, Ibrahim Mahmood Maigari, Sulaiman Alhaji, Ifedayo Adetifa, Babatunde Salako, Suleiman Bogoro, Chikwe Ihekweazu, Georgina N Odaibo, COVID-19 RDT Validation in Nigeria (CORVAN) study group

“…This study assessed the sensitivity, specificity, and predictive values of ten RDT kits used for COVID-19 testing in Nigeria. …”
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Comparision of Kernel Functions in Geographically Weighted Regression Model: Suicide Data as an Application by Tuba Koç, Pelin Akın

“…In addition, the 2019 suicide numbers and predicted values were mapped, and the results were found to be quite similar. …”
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MyBotS Prototype on Social Media Discord with NLP by Imam Al Maksur, Muhammad Muhajir

“…The test data and accuracy values prediction are the largest Liniear Kernel SVM with accuracy and error prediction values of 94% and 6%.…”
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A therapeutic approach to atopic eczema by Paul C. Potter

“…True sensitivity to foods is best confirmed by a controlled food challenge, and cut off values have been published which indicate the predictive values of blood or skin tests for true food sensitivity to guide the clinician. …”
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The Measurements of Thermophoretic Deposition of Aerosol Particles in the Continuum and Slip Flow Regions by Fahmy M. Hussein, Mohamed S. El-Shobokshy

“…The comparison between the directly measured particle flux and the predicted values showed good agreement. This result validates the thermophoresis theoretical expressions which have been proposed for both flow regimes involved in the present investigation.…”
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The diagnosis of delirium in 80 emergency unit patients by AFONSO CARLOS NEVES, RICARDO DE CASTRO CINTRA SESSO, HENRIQUE BALLALAI FERRAZ, SÍLVIO FRANCISCO, JOÃO BAPTISTA DOS REIS-FILHO

“…Sensitivity, specificity, positive predictive and negative predictive values had results showing different conditions for initial diagnosis in each group. …”
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Evaluation of conventional molecular diagnosis of Mycobacterium tuberculosis in clinical specimens from Morocco by Fathiah Zakham, Halima Bazoui, Mohammed Akrim, Sanae Lemrabet, Ouafae Lahlou, Mohamed Elmzibri, Abdelaziz Benjouad, My Mustapha Ennaji, Rajae Elaouad

“…Results: The sensitivity of PCR was 81.13%, with specificity of 88.24%; the positive and negative predictive values were 95.56% and 60%, respectively. Conclusion: Based on these results, the hsp65 gene sequence can be used to differentiate the members of MTB complex from non-tuberculosis mycobacteria (NTM). …”
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Determinants of Functional Capacity and Quality of Life After Implantation of a Durable Left Ventricular Assist Device by Kiran K Mirza, Finn Gustafsson

“…Mean peak oxygen uptake was 13.4 ml/kg/min (equivalent to 48% of predicted value; 259 days after implantation, range 31–1,017 days) and mean 6-minute walk test distance was 370 m (182 days after implantation, range 43–543 days). …”
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Application of Artificial Neural Networks in Mineral Resource Evaluation by Saleh M. Al-Alawi, E.E. Tawo

“…Finally, the validated model was used to predict values at unsampled locations in order to determine the feasibility of drilling in these locations. …”
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Liver Enzymes as Surrogate Markers of Hepatitis C Histopathology – Avoiding the Liver Biopsy Needle? by Stephen GM Wong, Eric M Yoshida

“…Serum AST values correctly predicted the inflammatory grade in 63 of 79 (80%) patients, and the fibrosis stage in 50 of 79 (63%) patients - higher than the predictive values of ALT. Serum alanine aminotransferase (ALT) values did not correlate with the degree of histological inflammation (r=0.39) but did correlate mildly with the extent of hepatic fibrosis (r=0.51). …”
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Optimization of culture conditions of microalgae in an algal-bacterial system by response surface method by LUO Longzao, ZENG Fanjian, TIAN Guangming

“…After seven days of culture under the optimimum condition, the biomass of microalgae was 5.68 g/L, which was in accordance with the theoretically predicted value (5.69 g/L). The above results can lay a scientific basis for improving the resource recovery efficiency from wastewater by algal-bacterial system.…”
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The diagnostic accuracy of urine lipoarabinomannan test for tuberculosis screening in a South African correctional facility. by Yasmeen Hanifa, Lilanganee Telisinghe, Katherine L Fielding, Justin L Malden, Gavin J Churchyard, Alison D Grant, Salome Charalambous

“…Sensitivity, specificity and predictive values of LAM were calculated using definite and probable tuberculosis combined as our gold standard.…”
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LSTM-conformal forecasting-based bitcoin forecasting method for enhancing reliability. by Xiangyue Zhang, Yuyun Kang, Chao Li, Wenjing Wang, Keqing Wang

“…Subsequently, an LSTM model is built, and data are fed into it and the data is used to train the model to generate predictions. Finally, the predicted values generated by the LSTM are fed into the conformal prediction model, and confidence intervals for these values are generated to verify their reliability. …”
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Model-output-based federated Bayesian optimization by Lin Yang, Qiqi Liu, Zhigang Zhao, Yunhe Wang, Junhua Gu

“…In this work, we propose an innovative FBO method that suggests transmitting the predicted values of surrogate models between the agent and the server and aggregating the weighted model output based on the similarity of the agent to address privacy concerns. …”
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Establishment of Rutting Model of Wheel-Tracking Test for Real-Time Prediction of Rut Depth of Asphalt Layers by Yulong Zhao, Ying Gao, Ke Zhang, Yao Zhang, Mingce Yu

“…The order of importance of the factors affecting the high-temperature performance of asphalt mixture is the gradation of asphalt mixture, asphalt-aggregate ratio, and molding temperature. Overall, the predicted values of the rut depth of the wheel-tracking test are very close to the measured values. …”
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