Miracle-dz/UniFAR-FTUs huggingface dataset:
Early stage cervical cancer : quality of cancer care and quality of life

inferior hypogastric plexus to result in decreased vaginal vasocongestion at vaginal photoplethysmography after RHL. At the Leiden University Medical Centre we performed a study on the changes in vaginal blood ﬂ ow in women with a history of RHL. Vaginal pulse amplitude during sexual stimulation by erotic ﬁ lms was assessed in twelve women with a history of RHL, in twelve women with a history of simple abdominal hysterectomy and in seventeen age-matched controls. Self-reported ratings of subjective sexual arousal were collected after each erotic stimulus condition. The maximum vaginal pulse amplitude differed between the three groups (p=0.043) (90). Women with a history of RHL had a signiﬁ cantly lower maximum response than controls (p=0.015). Women in the RHL group and controls reported an equally strong subjective arousal after the erotic stimulus condition. Women with a history of simple hysterectomy showed an intermediate maximum vaginal pulse amplitude, but differences with the other two groups were not signiﬁ cant. Despite the limits of the study design and its size, the study indicates that RHL seems to be associated with a disturbed vaginal blood ﬂ ow response during sexual arousal. The disturbed response could not be explained solely by uterine extirpation, since it was not observed to the same extent after simple hysterectomy. The difference in outcome might be related to a more extended denervation of the vagina with increasing radicality of surgery (91-97).
With Guide of Spike-in Experiment for Optimizing Workflow of LC-MS data Processing in Metabolomics

A systematical study was performed to investigate the processing workflow of LC-MS-based metabolomics data by optimizing parameter settings in XCMS software and comparing different preprocessing methods. Here we use a spike-in experiment combining with design of experiment (DoE) approaches for optimizing XCMS software parameters. A trusted index, which was based on accuracy evaluation of the spike-in data, was employed to assess the optimizing process. After optimizing the XCMS setting, the trusted index was improved from 3.67 to 30 and positive rate of spike-in standards also increased from 20% to 100%. Moreover, different data preprocessing methods, such as normalization, different scaling methods were also investigated on spike-in data since they were found to affect the outcome of the data analysis and ions features identification. Accordingly, UN-normalization and Pareto scaling were chosen as appropriate preprocessing methods to deal with LC-MS data through the evaluation of match index (mainly applied multivariate statistics methods). Finally, the optimized workflow was applied to experimental samples that acquired from metabolomics experiment and analyzed randomly with spike-in sample, which indicated a better applicability in formal metabolomics experiment. It is concluded that the proposed data processing workflow could be used as feasible approach for improving the quality of LC-MS-based metabolomics data and ensured the veracity of metabolites identification in data processing procedures to a certain extent.
A New Approach to the 2-D Power Synthesis of Shaped Beams with Arbitrary Footprints

We propose a new and effective approach to the mask-constrained power synthesis of 2-D shaped patterns. The developed technique jointly exploits a recently-introduced Phase Retrieval algorithm as well as fundamental results available in the literature for the synthesis of shaped patterns through array antennas. By so doing, it is possible generating shaped beams having arbitrary footprints through planar sources with a limited support.
Social Robot Detection on Short Video Platform Based on Random Forest and LDA Model

With the rapid development of short video platforms, a large number of social robots have emerged, which are controlled by automated programs and actively post content on various short video platforms. Many of these social robots are used to spread false information, rumors, or misleading content, which negatively impact user experience, content quality, and the social environment on short video platforms. In order to better detect these social robots, we collected about 500k user data from Kuaishou, which is one of the top 2 short video platforms, and extracted four features that are closely related to social robot detection: abnormal daily posting frequency, abnormal posting time intervals, abnormal similarity in post and comment content, and abnormal activity times. We used this collected dataset to train a Random Forest model and then tested it on real user data. Additionally, we use LDA topic modeling technique to calculate the topic similarity between the original video content and its comments, thus helping to identify social robots. Compared to other detection results achieved using only the Random Forest model, our proposed approach based on the Random Forest and LDA model for social robot detection on short video platforms has shown an improvement of approximately 5% in recall rate and about 4% in F1 score.
New records of Cosmarium Corda ex Ralfs in lotic environment, adjacent to the Iguaçu National Park, Paraná State, Brazil

This study aimed to document the Cosmarium (Desmiadiales, Zygnematophyceae) taxa at a subtropical stream located in an area adjacent to the Iguacu National Park, an important environmental protection area in the further west of Parana State. For this purpose, monthly samplings of periphytic material associated to Eleocharis minima Kunth were performed in the period of August 2012 to July 2013. This taxonomic inventory allowed the identification of 37 taxa at specific and infra-specific levels. There were 15 new records for Parana State: Cosmarium bipunctatum Borgensen, C. clepsydra Nordstedt var. bicardia (Reinsch) Croasdale, C. crenatum var. crenatum Ralfs, C. difficile Lutkemuller var. dilatatum Borge, C. isthmochondrum var. isthmochondrum Nordstedt, C.obsoletum (Hantzsch) Reinsch var. obsoletum, C. ordinatum (Borge) West & West var. ordinatum, C.ornatum Ralfs var. ornatum f. ornatum, C. pseudoconnatum Nordstedt var. pluriradians Scott & Gronblad, C. pseudoretusum F. Ducell. var. pseudoretusum Krieger et Gerlof, C. pyramidatum var. borgei Krieger & Gerloff, C. regnellii var. minimum Eichler & Gutwinski, C. repandum var. minus (West & West) Krieger & Gerloff, C. securiforme Borge var. brasiliense Gronblad and C. variolatum var. variolatum Lundell.
Low power Low Area Approximate Multiplier with Modified Error Compensation

The most frequent operation is multiplication, which is utilized in neural networks and digital filters, among other uses. In some applications like Image Processing, accurate computation is not necessary, and even computing with low accuracy can produce useful results. This summary introduces a Low power, Low area approximate multiplier that includes a feature for error compensation. The suggested multiplier treats the least significant portion of the product as a fixed compensation term, while the remaining portion is computed with approximation and accurate part to achieve a highly efficient hardware system with a trade-off between accuracy and efficiency. Additionally, a low complexity yet powerful error compensation module (ECM) is proposed, leading to a substantial enhancement in accuracy. The proposed multiplier is simulated using CADENCE with 18nm FinFET technology. The proposed design significantly reduces the power consumption, on average, by 33% and decreases transistor count by 26% compared to the existing approximate designs.
Observation and Modeling of decision-making of Pedestrian with Interactions at X-Crossing

The demand for automated Personal Mobility (PM) and its applications called Mobility as a Service (MaaS) are growing. Because the PMs sometimes share their mobile space with the surrounding pedestrian, PMs have to take the surrounding pedestrian’s behavior into account to ensure safety and social acceptance. To achieve this, PMs require the prediction model of the pedestrian. This paper presents the construction of the prediction model of the surrounding pedestrian’s intention, specifically the choice of whether to give way or not. At first, the amount of walking behavior with the interaction among the pedestrians are measured in the experiment. In the experiment, the intention of the pedestrian is measured directly with the switch device in real time. This intention can not be measured in the observation camera nor big data in a real environment while the information is essential to build the decision-making model because the decision timing is not always the same as the motion changes. The explanatory variable for the model is discussed based on the analysis of the measured data, and the decision-making process is modeled by the logistic regression model. Finally, the prediction performance is tested with cross-validation.
Methodological basis of world water balance investigation and computation

Presenta una estimacion de la cantidad de agua total y su ciclo en todas las partes de la litosfera, basados en datos obtenidos de las redes meterologicas, hidrologicas, e hidrogeologicas de todo el planeta, entre el periodo 1900-1960. Describe los metodos de estimacion secular de las reservas de agua, de los elementos del ciclo hidrologico, fuentes de agua y sus cambios. Los resultados obtenidos son confrontados con otros trabajos similares de otros autores
Leaky-Wave Synthesis of Bessel Beams at Millimeter-Wave Frequencies

Bessel beams are focusing shaped beams that have recently attracted much interest for several practical applications thanks to their limited-diffracting and self-healing properties. Bessel-beam launchers are planar devices capable of generating Bessel beams. In this contribution, we show how to effectively model and design various types of such devices working at millimeter waves through a straightforward, accurate, and rigorous leaky-wave approach.
Study on Mechanical Properties of Cement–Jute Fiber Modified Weak Expansive Soil

Sixteen groups of comprehensive tests were undertaken to examine the modifications in the mechanical characteristics of weak expansive soil resulting from the inclusion of a composite material comprising cement and jute fibers. The aim of the tests was to analyze the unconfined compressive strength and shear strength. The results reveal that (1) as the modified material content increased, the stress–strain curve of the modified soil progressively became steeper, with a more pronounced peak value. Under the same strain condition, the stress variation increased accordingly. After the stress reached its maximum, a sudden phenomenon of brittle axial compression failure occurred. (2) With the increase in cement content, the unconfined compressive strength and shear strength of the modified expansive soil gradually increased, reaching the highest shear strength when the cement content was 8%. With the increase in jute fiber content, the unconfined compressive strength and shear strength of modified expansive soil increased first and then decreased, reaching the highest value when the content was 0.5%. (3) The cohesion of modified expansive soil increased with the increase in cement content. When the cement content was 8%, the cohesion of the soil sample was as high as 298.29 kPa. The cohesion of modified expansive soil increased first and then decreased with the increase in fiber content. When the jute fiber content was 0.5%, the cohesion reached the maximum value. (4) The internal friction angle of the modified expansive soil increased with the increase in cement content. When the cement content was 8%, the internal friction angle of the soil sample increased by 2.64°. The cohesion of modified expansive soil increased first and then decreased with the increase in fiber content. When the jute fiber content was 0.5%, the internal friction angle reached the maximum value.
Hiring discrimination of young people in the Paris area: Does a higher education degree compensate a North African origin?

Using the correspondence testing method we evaluate the extent of employment discrimination against young people of foreign orig in (North African) in the Paris area, Ile-deFrance. We measure the effect of ethnic origin (Fre nch or North African) and the crossover effect of the variable “ethnic origin” with the var iable "educational degree"(qualification) on the chances of access to job interviews in response to vacancies for the profession of maintenance technician. In order to conduct this study, we constructed thre e profiles of job seekers: two young men of North African origin and a young man of French origin. We have deliberately increased the productive characteristics of one of the two candid ates of North African origin compared to the other candidates. Hence, one of the two candida tes of North African origin shows a higher level of education than the other 2 candidates. He holds a higher level of diploma compared to the other two candidates. So, while the other 2 can didates hold a professional baccalaureate diploma (BAC) he holds a higher degree, a technicia n certificate (BTS = BAC+2). We sent 441 applications in response to 147 job opp ortunities in the Paris area, over the period late July - late August 2010. The results reveal discriminatory practices against the candidates of North African origin. These practices are only slightly offset by a highe r education as the candidate most qualified of North African origin has less access to job inte rviews that the French candidate, but more than the other candidate of North African origin. W e interpret these results by a statistical discrimination faced by young people of North Afric an origin. While the educational degree increases the chances of access to job interviews, the North African origin remains however disadvantageous.
Inhibition of ATM with KU-55933 Sensitizes Endometrial Cancer Cell Lines to Olaparib

Background Endometrial cancer (EC) is one of the most prevalent gynecologic cancers, which poses a serious threat to women’s health worldwide. Olaparib, the first FDA-approved PARP inhibitor for the treatment of BRCA-mutated breast, ovarian and pancreatic cancers, triggers apoptosis of cancer cells through synthetic lethality by inhibiting PARP1/2 enzymatic activity and BRCA1/2-dependent homologous recombination (HR) repair deficiency. However, the synergistic lethal effects between Olaparib and inhibitors of other DNA damage response proteins, such as ATM, PTEN and RAD51, are still unknown. Aim Exploring the synergistic lethal effect between Olaparib and KU-55933 on EC. Methods The GEPIA database was used to test EC patient survival rate. CCK8 was used for cell viability assays. Western blot was used for examining gene levels. The wound healing assay was used to detect cell migration ability. Flow cytometry was used for detecting the apoptosis rate. All experimental conditions were repeated independently in triplicate and analyzed in three separate experiments. Results In this study, we discovered that the frequency of ATM alterations in endometrial cancer reaches nearly 20% and that there is a positive correlation between ATM alterations and prognosis. Furthermore, we discovered that endometrial cells with low expression levels of ATM are sensitive to Olaparib. Treatment with KU-55933, a specific inhibitor of ATM, significantly enhanced the sensitivity of endometrial cancer cells to Olaparib, as evidenced by colony formation, cell migration and apoptosis assay. Further analysis revealed that KU-55933 potentiates Olaparib-induced cell apoptosis by inhibiting ATM phosphorylation. Conclusion Our study demonstrates that inhibiting ATM could enhance the sensitivity of endometrial cancer to Olaparib, thereby providing a potential alternative treatment for the clinical treatment of endometrial cancer.
DeepSurvLiver: Predicting Post-Operative Survival after Liver Transplantation

Liver transplantation (LT) offers a vital solution for end-stage liver disease patients. Predicting post-LT survival, however, remains challenging. This paper introduces an artificial intelligence (AI)-based model to predict post-operative survival after LT. The proposed model employs a two-stream recurrent neural network (RNN) using deep long short-term memory (LSTM-RNN) and bidirectional long short-term memory (BiLSTM-RNN) to extract inherent features of donors and recipients, respectively. Additionally, a self-attention based module is developed to capture the influential features of donors’ and patients’ data. To eliminate errors in the prediction model caused by imbalanced distributions, implicit semantic data augmentation (ISDA) is employed. Tested with 5-fold cross-validation, the proposed model achieved 99.47% accuracy and 0.996 the area under the curve, outperforming existing models in prediction performance.
MPC path planning considering ride comfort

A lot of research on path-planning technology for self-driving vehicles have focused on safety, time efficiency and the comfort of driving. The next needed step in the researches considering optimal behavior of vehicles is a control that takes into account the optimal behavior of the passenger. This paper considers a model predictive control method how to plan a path that restrains the passenger’s behavior. We evaluate ride comfort based on passenger’s motion perception characteristics.
Performance Comparison of Trunk Injection Mechanisms for Ganoderma Control

A severe disease known as Ganoderma Boninense, which attacks a group of wood-decaying fungi, causes Basal Stem Rot (BSR) in oil palm trees. One of the treatments introduced to control the spread is injecting a chemical into the palm's trunk. After receiving a hexaconazole treatment for a year, a study on 2008 Ganoderma-infected palm trees in an estate revealed that 95.6% of the infected palms were still standing. The injection process facilitates several devices that were used and invented. These machines utilise a pressure-injection technique that injects a chemical through a flexible hose into a healthy palm's tissue to prevent the disease from spreading. Hence, the development of effective trunk injector mechanisms for Ganoderma treatment is discussed in this article. The first injection method utilised the Pressure Injection Apparatus (PIA), which can deliver a chemical to the target sites to control BSR. Second, a Mechanical Trunk Injector mainly facilitated chemical injection into the palm trunk using a prime mover. Next, the Tractor Mounted Trunk Injector, comprised of an injection apparatus system, was found to perform effectively and efficiently. The distribution profile of the dye eosin in the stem revealed that it covered more than 80% of the cross-sectional and longitudinal axes of the palm tree's trunk. Instead of the previous injection apparatus control method, this machine could speed up the injection time. Compared to the 20-minute-per-hole completion time of the PIA, the machine only took 3 to 5 minutes to complete an injection, which was 65% faster, and about 100 to 120 palms could be covered in a day. Labour requirements were very minimal as it is a single-operated machine. Utilising the machine would also result in a reduction in the number of workers needed.
Géophysique interne Caractérisation de la structure interne et de l'état hydrique de glissements argilo-marneux par tomographie géophysique : l'exemple du glissement-coulée de Super-Sauze

Characterization of the internal structure and the hydric state of clayey-marly landslides through geophysical tomography: example of the Super-Sauze earthflow. Geophysical methods such as seismic surveying and electrical resistivity imaging appear to be well-adapted to investigate and understand landslide mechanisms. They allow direct and non-intrusive measurement of acoustic velocity and electrical resistivity, two fundamental parameters used to define the physical properties of the reworked moving materials. Both methods were applied at the Super-Sauze site in the French South Alps, where a typical example of an intra-material earthflow-mudslide can be observed. Measurements were taken simultaneously along two orthogonal profiles: one 325 m in length is perpendicular to the axis of the earthflow; the other 235 m in length is located along the axis of the earthflow.
CVNN-Based Microwave Imaging Approach

Signal processing involved in microwave imaging typically requires complex value representations. Nevertheless, most deep learning architectures rely on real value operations, thus limiting their capacity to learn complex value functions effectively. The present work focuses on the integration of deep learning and conventional Born Iterative method, with a specific emphasis on the use of a Complex Valued Neural Network for the reconstruction of dielectric profiles and the identification of breast tumors. Validation results demonstrate that the proposed approach works similarly to a standard Real Valued Neural Network. However, the main advantage is related to the direct operation in the complex value domain, enabling it to effectively capture both the magnitude and phase information. Consequently, the proposed approach is able to reconstruct both the real permittivity as well as the conductivity values in real time.
The Sequence of Coronene Hydrogenation Revealed by Gas-phase IR Spectroscopy

Gas-phase coronene cations ( ) can be sequentially hydrogenated with up to 24 additional H atoms, inducing a gradual transition from a planar, aromatic molecule toward a corrugated, aliphatic species. The mass spectra of hydrogenated coronene cations show that molecules with odd numbers of additional hydrogen atoms (nH) are dominant, with particularly high relative intensity for “magic numbers” nH = 5, 11, and 17, for which hydrogen atoms have the highest binding energies. Reaction barriers and binding energies strongly affect the hydrogenation sequence and its site specificity. In this contribution, we monitor this sequence experimentally by the evolution of infrared multiple-photon dissociation (IRMPD) spectra of gaseous with nH = 3–11, obtained using an infrared free electron laser coupled to a Fourier transform ion cyclotron mass spectrometer. For weakly hydrogenated systems (nH = 3, 5) multiple-photon absorption mainly leads to loss of H atoms (and/or H2). With increasing nH, C2H2 loss becomes more relevant. For nH = 9, 11, the carbon skeleton is substantially weakened and fragmentation is distributed over a large number of channels. A comparison of our IRMPD spectra with density functional theory calculations clearly shows that only one or two hydrogenation isomers contribute to each nH. This confirms the concept of hydrogenation occurring along very specific sequences. Moreover, the atomic sites participating in the first 11 steps of this hydrogenation sequence are clearly identified.
Influence of errors in assignment of the optical atmospheric parameters on results of reconstruction of the Earth’s surface reflection coefficients from satellite measurements in the visible and near-IR ranges

An algorithm for reconstructing the Earth’s surface reflection coefficients from the data of MODIS satellite measurements is considered. For six channels of the MODIS device in the visible and near-IR ranges, the influence of a 10% error in the assignment of the aerosol and molecular extinction on the accuracy of reconstructing of the Earth’s surface reflection coefficients is estimated. A comparison of this error with the error of reconstructing the reflection coefficient for a surface area in the Tomsk Region by the suggested algorithm and the algorithm MOD09 is performed. Results of comparison show that the error in assignment of the input optical parameters can be the main source of the error of the correction algorithms for wavelengths 0.4–0.85 μm. For the channel centered at 1.25 μm the error of the algorithms is much greater than the error caused by a 10 % error of assignment of the optical parameters.