Miracle-dz/UniFAR-FTUs huggingface dataset:
A Machine Learning Method for Classification of Cervical Cancer

Cervical cancer is one of the leading causes of premature mortality among women worldwide and more than 85% of these deaths are in developing countries. There are several risk factors associated with cervical cancer. In this paper, we developed a predictive model for predicting the outcome of patients with cervical cancer, given risk patterns from individual medical records and preliminary screening. This work presents a decision tree (DT) classification algorithm to analyze the risk factors of cervical cancer. Recursive feature elimination (RFE) and least absolute shrinkage and selection operator (LASSO) feature selection techniques were fully explored to determine the most important attributes for cervical cancer prediction. The dataset employed here contains missing values and is highly imbalanced. Therefore, a combination of under and oversampling techniques called SMOTETomek was employed. A comparative analysis of the proposed model has been performed to show the effectiveness of feature selection and class imbalance based on the classifier’s accuracy, sensitivity, and specificity. The DT with the selected features from RFE and SMOTETomek has better results with an accuracy of 98.72% and sensitivity of 100%. DT classifier is shown to have better performance in handling classification problems when the features are reduced, and the problem of high class imbalance is addressed.
Agent Technology in CAPP Developing Tools

Presents the concept of CAPP developing tool (CAPPDT) and its basic model which has two layers:the basic and the intelligent.The belief and commitment are two important properties of agents. An agent module based on reactivity has been developed which is used to generate compound processing routines for a kind of parts and machining chains for their features.This agent module belongs to the intelligent layer of CAPPDT.
Radar-Based Mapping of the Environment: Occupancy Grid-Map Versus SAR

For autonomous driving vehicles, highly accurate representations of the environment are essential for both trajectory planning and self-localization. Different possibilities allow to generate detailed maps of the environment based on chirp-sequence radar sensors for advanced driver assistance systems (ADASs). For the first time, this letter shows a qualitative comparison between synthetic aperture radar (SAR)- and occupancy grid map (OGM)-based environment representation using identical measurement data. The differences of existing signal processing chains as well as a visual measurement-based comparison of the resulting environmental maps is presented.
Safety of Chuna Manipulation Therapy in 289,953 Patients with Musculoskeletal Disorders: A Retrospective Study

Studies have reported that mild adverse events (AEs) are common after manual therapy and that there is a risk of serious injury. We aimed to assess the safety of Chuna manipulation therapy (CMT), a traditional manual Korean therapy, by analysing AEs in patients who underwent this treatment. Patients who received at least one session of CMT between December 2009 and March 2019 at 14 Korean medicine hospitals were included. Electronic patient charts and internal audit data obtained from situation report logs were retrospectively analysed. All data were reviewed by two researchers. The inter-rater agreement was assessed using the Cohen’s kappa coefficient, and reliability analysis among hospitals was assessed using Cronbach’s Alpha coefficient. In total, 2,682,258 CMT procedures were performed in 289,953 patients during the study period. There were 50 AEs, including worsened pain (n = 29), rib fracture (n = 11), falls during treatment (n = 6), chest pain (n = 2), dizziness (n = 1), and unpleasant feeling (n = 1). The incidence of mild to moderate AEs was 1.83 (95% confidence interval [CI] 1.36–2.39) per 100,000 treatment sessions, and that of severe AEs was 0.04 (95% CI 0.00–0.16) per 100,000 treatment sessions. Thus, AEs of any level of severity were very rare after CMT. Moreover, there were no instances of carotid artery dissection or spinal cord injury, which are the most severe AEs associated with manual therapy in other countries.
Globalization and Women's Employability in Sub-Saharan Africa

The objective of this paper is to analyze the effects of globalization on female employment in Sub-Saharan Africa (SSA). The GMM estimator was used in the econometric approach based on panel data from 39 Sub-Saharan African countries covering the period from 1995-2018. For further analysis, the sample was divided into four subgroups of regions including Central, Eastern, Western and Southern regions of Sub-Saharan Africa. The estimation results revealed that globalization measured by the openness rate and FDI flows significantly affects women's employment. This effect is positive for the openness rate and negative for FDI. This can be explained by the high representation of women in the informal sector whose main activity is trade. The results also showed a significant effect of socio-economic variables, particularly Gross Domestic Product (GDP). Policymakers, in their efforts to stimulate economic growth, should put in place policies and programs that promote trade liberalization and women's empowerment.
Numerical Demonstration of 800 Gbps WDM Silicon Photonic Transmitter with Sub-Decibel Surface-Normal Optical Interfaces

We propose and numerically demonstrate an 800 Gbps silicon photonic transmitter with sub-decibel surface-normal optical interfaces. The silicon photonic transmitter is composed of eight silicon Mach–Zehnder optical modulators and an interleaved AMMI WDM device. This WDM device comprises two 1 × 4 angled MMI and a Mach–Zehnder interferometer (MZI) optical interleaver with an apodized bidirectional grating which has about −0.5 dB coupling loss. Both the Mach–Zehnder electro-optical modulators and MZI optical interleaver regard the bidirectional grating coupler as vertical optical coupler and 3-dB power splitter/combiner. By importing the S-parameter matrices of all the components which have been carefully designed in simulation software, the circuit-level model of the optical transmitter can be built up. On this basis, the static and dynamic performance characterization were carried out numerically. For NRZ modulation, the optical transmitter exhibits the overall optical loss of 4.86–6.72 dB for eight wavelength channels. For PAM4 modulation, the optical loss is about 0.5 dB larger than that of NRZ modulation, which varies between 5.38–7.27 dB. From the eye diagram test results, the WDM silicon photonic transmitter can achieve single channel data transmission at 100 Gb/s NRZ data or 50 GBaud/s PAM4 symbol rate with acceptable bit error rate.
EVALUATION OF TWO ALFALFA LANDRACES FOR SALT TOLERANCE VIA SOME MORPHOLOGICAL AND BIOCHEMICAL TRAITS

Alfalfa (Medicago sativa L.) is the most commonly grown forage crop worldwide. Salinity stress is an abiotic stress, which has harmful effects on germination, growth and yield of alfalfa. Seventeen alfalfa landraces were assessed for salt tolerance with seven salt levels 0, 5 and 10 dSm -1 of NaCl, 5 and 10 dSm -1 of CaCl2 and 5 and 10 dSm -1 mixture of NaCl + CaCl2, in a laboratory experiment to select the most salt tolerant alfalfa landrace and the most sensitive one, which were evaluated under greenhouse conditions. Regarding laboratory experiment, two alfalfa landraces, namely L12 and L3, were selected as the most salt tolerant and sensitive landraces, respectively. A significant decrease was observed in all traits with increasing salt levels. The results showed that 5 dSm -1 CaCl2 levels had the least effect on all traits, than NaCl followed by their mixture concentrations of NaCl + CaCl2. The most tolerant and the most sensitive alfalfa landraces were assessed by peroxidase (POX), polyphenyl oxidase (PPO) and alcohol dehydrogenase (ADH) systems under different salt concentrations. The POX, PPO and ADH isozyme activities showed up to 10, 11 and 10 distinct polymorphic bands, respectively. Some new bands were appeared and/or disappeared under different salt types and concentrations for the most salt tolerant and/or the most sensitive alfalfa landraces. The activity of isozymes (band intensity) increased under all salinity treatments compared with the control. The increase of band intensity and appearance or disappearance of new bands may be an indication of an increase in isozymes activities under salinity conditions.
Art markets, epistemic authority, and the institutional curation of knowledge

ABSTRACT The recent proliferation of data about art prices has been interpreted as the democratization of a formerly secretive economic sphere. Contesting this idea, I argue that such data is collected, controlled, and disseminated by international art dealers and auction houses for the purpose of reinforcing the myth of a single, integrated market for art. Through the analysis of presentation strategies in Gagosian Gallery’s online viewing rooms and Sotheby’s Mei Moses Index, I argue that dominant art world institutions use art history and price data to support the speculative value of artworks and to perpetuate knowledge asymmetries that reinforce their own epistemic authority. I debate whether Friedrich Hayek’s conception of price as an unbiased aggregator of dispersed information is a useful way of conceptualizing speculative value in the art world. I conclude that, in contrast to Hayek’s ideas, contemporary art market data is given the illusion of democratic dispersal while remaining within the purview of dominant institutions. The curation of knowledge involved in this process exacerbates art world inequality and risks sidelining the heterogeneous creative practices that populate a broad range of creative spheres.
GIS/GSM based Nanjing earthquake disaster quick reporting system

Working principle of Nanjing earthquake disaster information quick reporting system was described and disaster information quick reporting flow based on geographic information system(GIS) and globai system for mobile communicatiions(GSM) was discussed.Based on the standard earthquake intensity scale,the historical disaster information was described and decomposed,and convenient disaster information short message codes were designed.The development method for Nanjing earthquake disaster information quick reporting system was analyzed and the system prototype was designed.According to Nanjing foundamental geographic information,the database management of Nanjing earthquake quick reporters was realized.Finally,using ArcEngine and.Net,the Nanjing quick reporting system was developed and was vertified well in real earthquake.
The Tetrahydrofuran Motif in Polyketide Marine Drugs

Oxygen heterocycles are units that are abundant in a great number of marine natural products. Among them, marine polyketides containing tetrahydrofuran rings have attracted great attention within the scientific community due to their challenging structures and promising biological activities. An overview of the most important marine tetrahydrofuran polyketides, with a focused discussion on their isolation, structure determination, approaches to their total synthesis, and biological studies is provided.
analIza wrażlIwoścI wskaźnIka nIezawodnoścI w zakresIe dokładnoścI IndeksowanIa głowIcy narzędzIowej z napędzanymI narzędzIamI

Power tool turret (PTT) is one of the most key parts of CNC (Computer Numerical Control) turning center and CNC turning and milling machining center. Therefore, it is very important for improving these two types of machine tools’ reliability to explore the indexing accuracy reliability of PTT and its sensitivity. To analyze the indexing accuracy reliability sensitivity of PTT, the angular displacement error of the rotating gear disc is discussed based on the measurement uncertainty theory. The tooth thickness wear process of the fixed gear disc, the rotating gear disc and the lock gear disc are modeled using Gamma process of which the parameters are estimated. The indexing error of PTT is formulated by employing the BP neural network and validated by the experiment data. Then, the indexing accuracy reliability equation of PTT is derived and its sensitivity to the mean and the standard deviation of random variables or wear stochastic processes is analyzed. The results show that the presented indexing accuracy reliability and its sensitivity of PTT are effective.
Motor-Independent Cognitive Testing in Motor Degenerative Diseases

Cognitive function is tested through speech- or writing-based neuropsychological instruments. The application and validity of those tests is impeded for patients with diseases that affect speech and hand motor skills. We therefore developed a “motor-free” gaze-controlled version of the Trail Making Test (TMT), including a calibration task to assess gaze accuracy, for completion by means of an eye-tracking computer system (ETCS). This electronic TMT version (eTMT) was evaluated for two paradigmatic “motor-neurodegenerative” diseases, Parkinson’s disease (PD) and amyotrophic lateral sclerosis (ALS). We screened 146 subjects, of whom 44 were excluded, e.g., because of vision deficits. Patients were dichotomized into subgroups with less (ALS−, PD−) or severe motor affection (ALS+, PD+). All 66 patients and all 36 healthy controls (HC) completed the eTMT. Patients with sufficient hand motor control (ALS−, PD−, PD+) and all HC additionally completed the original paper–pencil-based version of the TMT. Sufficient and comparable gaze fixation accuracy across all groups and the correlations of the eTMT results with the TMT results supported the reliability and validity of the eTMT. PD+ patients made significantly more errors than HC in the eTMT-B. We hereby proved the good applicability of a motor-free cognitive test. Error rates could be a particularly sensitive marker of executive dysfunction.
COVID-19 and Psychological Impact

The worldwide mental health burden associated to COVID-19. The psychological symptoms associated to COVID-19 can originate from three different sources: lockdowns, pandemic life and virus infection (both COVID-19 and post COVID-19 condition). Within the psychological symptoms it can be found: anxiety, depression, post-traumatic stress, fatigue and cognitive impairment (i.e., ’brain fog’, mental slowness, deficits in attention, executive functioning, working memory, learning, articulation, and/or psychomotor coordination). Plus, two psychological conditions associated to the COVID-19 pandemic have been coined so far by the World Health Organization: pandemic fatigue and post COVID-19 condition. The increase of psychological symptoms both in the general population and in frontline workers (especially health-care workers) generates an unprecedented number of psychological patients and it challenges national mental health systems.
Concomitant Sepsis Diagnoses in Acute Myocardial Infarction-Cardiogenic Shock: 15-Year National Temporal Trends, Management, and Outcomes

OBJECTIVES: Mixed cardiogenic-septic shock is common and associated with high mortality. There are limited contemporary data on concomitant sepsis in acute myocardial infarction complicated by cardiogenic shock (AMI-CS). DESIGN: Observational study. SETTING: Twenty percent stratified sample of all community hospitals (2000–2014) in the United States. PARTICIPANTS: Adults (> 18 yr) with AMI-CS with and without concomitant sepsis. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Outcomes of interest included inhospital mortality, development of noncardiac organ failure, complications, utilization of guideline-directed procedures, length of stay, and hospitalization costs. Over 15 years, 444,253 AMI-CS admissions were identified, of which 27,057 (6%) included sepsis. The sepsis cohort had more comorbidities and had higher rates of noncardiac multiple organ failure (92% vs 69%) (all p < 0.001). In 2014, compared with 2000, the prevalence of sepsis increased from 0.5% versus 11.5% with an adjusted odds ratio (aOR) 11.71 (95% CI, 9.7–14.0) in ST-segment elevation myocardial infarction and 24.6 (CI, 16.4–36.7) (all p < 0.001) in non-ST segment elevation myocardial infarction. The sepsis cohort received fewer cardiac interventions (coronary angiography [65% vs 68%], percutaneous coronary intervention [43% vs 48%]) and had greater use of mechanical circulatory support (48% vs 45%) and noncardiac support (invasive mechanical ventilation [65% vs 41%] and acute hemodialysis [12% vs 3%]) (p < 0.001). The sepsis cohort had higher inhospital mortality (44.3% vs 38.1%; aOR, 1.21; 95% CI, 1.18–1.25; p < 0.001), longer length of stay (14.0 d [7–24 d] vs 7.0 d [3–12 d]), greater hospitalization costs (×1,000 U.S. dollars) ($176.0 [$85–$331] vs $77.0 [$36–$147]), fewer discharges to home (22% vs 44%) and more discharges to skilled nursing facilities (51% vs 28%) (all p < 0.001). CONCLUSIONS: In AMI-CS, concomitant sepsis is associated with higher mortality and morbidity highlighting the need for early recognition and integrated management of mixed shock.
Boiler Combustion Optimization System Based on Coal Type Identification

Boiler combustion optimization is of major significance for enhancing energy utilization efficiency and for the protection and improvement of environment.The authors have come up with an optimization strategy based on the online identification of coal low heating value.By using the results of coal low-heating value identification and through the use of a positive balance method optimization parameters can be calculated for the online adjustment of air-coal ratio.A simulation has been finally performed.In case of a change in such factors as boiler load,coal type,etc the method under discussion can enhance thermal efficiency by 2%. Tests have shown that the method can ensure a timely adjustment of air-coal ratio under the precondition of ensuring boiler safe operation,thereby resulting in an optimized operation of the boiler.
Nightmares’ Pattern and Predictors among a Saudi University Students during COVID-19 Pandemic

Purpose: During the coronavirus disease 2019 (COVID-19) pandemic quarantine, university students were under various types of stressors, including the exams period, which might have affected their quality and quantity of sleep, and consequently, their quality of life. This study aimed to investigate the pattern and predictors of nightmares among university students and coinvestigate the presence of other types of sleep disturbances, mental disorders, and quarantine-related stressors. Methods: This cross-sectional study included 368 university students who answered a self-completed questionnaire covering their sociodemographic features, nightmare indicators, and associated quarantine stressors. Additionally, sleep disturbances were measured using the Generalized Sleep Disturbance Scale (GSDS), anxiety using the Generalized Anxiety Disorder 2 scale, and depression using the Patient Health Questionnaire-2. Results: The participants’ mean age was 20.4 ± 1.6 years, and male participants represented 35.9% of the sample. Nightmares were experienced by 117 (31.8%) of the participants, of whom 44.4% had new-onset nightmares. The mean GSDS was 45.0 ± 14.9 (min. = 12, max. = 130). This value is associated with elevated odds of the following outcomes: the presence of nightmares (odds ratio [OR] = 1.8; confidence interval [CI] 95% = 1.1–3.0); new-onset nightmares at the time of pandemic (OR = 2.6; CI 95% = 1.3–5.5); and anxiety (OR = 1.74; CI 95% = 1.0–2.9). The presence of nightmares elevated the score of GSDS by 11.3 points (S.E. = 1.6, p < 0.001), elevated the odds of anxiety by 4.1 (CI 95% = 2.5–6.8), and depression by 2.1 (CI 95% = 1.3–3.4). Conclusions: Stressors resulting from both the exams period and the fact that it was conducted during COVID-19 quarantine increased the rate and affected the pattern of nightmares. These stressors also led to other sleep disturbances and mental disorders that were significantly more prevalent among females.
Gaming Behaviors and the Association with Sleep Duration, Social Jetlag, and Difficulties Falling Asleep among Norwegian Adolescents

The relationship between gaming and sleep is mostly informed by studies of addictive gaming behavior, thus limiting our understanding of sleep in the context of nonproblematic engaged gaming. The present study investigated whether addicted, problem, and engaged gaming behavior was associated with sleep duration, social jetlag, and difficulties falling asleep. The sample consisted of 13- and 16-year-old Norwegian adolescents (n = 3228) participating in the Health Behavior in School-Aged Children (HBSC) survey in 2018. Participants were categorized into addicted, problem, engaged, and normal/non-gaming behavior groups according to which GAS-7 criteria they fulfilled. Robust generalized linear mixed models with a random intercept for class ID were used to examine the association between the sleep variables and gaming behavior. Addicted gaming behavior was unfavorably associated with all sleep parameters. The findings for engaged gaming and problem gaming behavior were somewhat mixed. Engaged gamers slept less on weekends, less on weekdays for those aged 16, and experienced greater social jetlag compared to the normal/non-gaming group. Problem gamers experienced greater social jetlag and had higher odds of experiencing difficulties falling asleep. Overall, the results suggest that all types of gaming behaviors might harm sleep health, but to a greater extent for the addicted gamers.
USING ARTIFICIALNEURALNETWORKSTO PREDICTTHE DISTRESSES OF FLEXIBLEPAVEMENT

Road networks have a very important role in the economic development of any country. Therefore, Pavement Management Systems (PMS) are considered significant in managing the condition of highway networks efficiently to determine the required maintenance in a timely manner at the lowest cost. This research aims to use Artificial Neural Networks (ANNs) in the possibility of predicting the pavement condition index of the flexible pavement using the LTPP database. This research included the use of many inputs and data of flexible asphalt pavement containing thickness of the layers (A.C-Base-Subbase-Subgrade), temperature, humidity, precipitation, freezing, age, traffic volumes, and distress. The total number of sections that were used in the Artificial Neural Network model was 862 sections for nine states of the United States of America. All sections were divided into two categories; the first, overlay was not used to treat the distress. These sections take symbols (SPS-1&3&8) according to LTPP. The second sections were subjected to overlay layer as a result of the maintenance that was performed on it and was of the type (SPS-5) and in this type two cases were monitored; In the first case; the distresses before and after the maintenance operation using an overlay layer, the second case; the distresses were monitored after the maintenance process using an overlay layer was increased due to distresses. The Matlab program was used to build the ANN model based on the collected data to predict the Pavement Condition Index (PCI). The results indicated that the model showed an excellent prediction for the Pavement Condition Index. The correlation coefficient (R^2) was more than 80% approximately for all sections. This result indicated that the ANN models can be used efficiently to predict the pavement condition and contribute to building an effective plan for future road maintenance work.