Miracle-dz/UniFAR-FTUs huggingface dataset:
Cervical Cancer in Pregnant Women: A Case Report

The process itself of staging of the disease during pregnancy and the treatment should comply with current standards, to the extent possible. Surgery and/or chemotherapy are considered to be fundamental methods of treatment for invasive cervical cancer during pregnancy. Tactics in the treatment of such patients is determined by a range of factors and depends on gestational age at the time of diagnosis, the stage of the disease, tumor size, as well as on the involvement of regional lymph nodes and the woman’s desire to continue pregnancy. Case Description: A 32 year-old patient, grand multipara, admitted for spontaneous metrorrhagia of low abundance during a 7 month pregnancy (date of last menstrual period is inaccurate) for which she consulted in the private sector where she underwent a gynecological examination that showed a tumoral process of the cervix, and then a biopsy that revealed a cervical squamous cell carcinoma. The patient was then referred to our departement for further care; we decided to perform a C-section at 34 weeks of ammenorrhea, giving birth to a male infant with a birth weight of 2300g, and then a CRC. Conclusion: The incidence of cervical cancer in pregnancy is itself not very high, and the symptoms are easily confused with other diseases in pregnancy. During pregnancy, gynecological examination is limited, and therefore, the rate of misdiagnosis is higher. The treatment of cervical cancer during pregnancy is related to many factors, such as tumor size, pathological type, period of gestation, lymph node involvement, and patients' willingness to maintain pregnancy.
Study on the Interaction between Curcumin and Ethylamines by Absorption and Fluorescence Spectroscopic Techniques

The interaction between curcumin(1,7-bis[4-hydroxy-3-methoxyphenyl]-1,6-heptadiene-3,5-dione) and ethylamines was studied in DMSO:H 2 O(5:1, v/v) using absorption and fluorescence measurements. The association constant, K ass , and the Stern-Volmer constants were calculated by the Benesi-Hildebrand and Stern-Volmer equation, respectively. Curcumin displayed marked UV-Vis absorption changes and highly responsive fluorescence quenching in the presence of ethylamine and the quenching ability was enhanced almost linearly with the concentration of ethylamines. The apparent Stern-Volmer constant measured for the ethylamine-curcumin system was about 1000-fold greater than that of the triethylamine-curcumin system, indicating considerably greater quenching efficiency of ethylamines.
The Effect of Game on Cognitive Functions and Agility in a Football Cycle in Children Aged 11 to 12 Years

Motor and cognitive in children growth can be influenced by the practice of football. This study was enhanced with a 10week game program at three sessions per week, which improved children's performance in motor and cognitive functions. We chose as variables for our study; agility as motor skill and mental flexibility, inhibition and visuospatial memory as cognitive functions. The participants (N = 33) were students in a football promotion center with an average age of 11.5. They were divided into two groups, 16 students from the experimental group who performed a play program and 17 students from the control group who had a regular program. The experimental post-test group showed significantly greater gains than the control group on agility measurements, visuospatial memory, mental flexibility and inhibition. In addition, our results were revealed only a correlation between mental flexibility and agility.
Breast Cancer Metastatic Relapse in Young Moroccan Women According to Prognostic Factors (A Study about 60 Cases)

The objective of this work is to clarify by a retrospective study the prognostic parameters of breast cancer in young Moroccan women and to clarify the epidemiological histological and prognostic characteristics in a subgroup that have a metastatic relapse in order to determine the impact of the different prognostic factor on overall survival. During a period of 5 years, from January 2010 to December 2015, 325 women suffering from breast cancer were counted at the Radiotherapy Department of the Mohammed V Military Hospital of Instruction. Among them, 60 were aged 40 years and under. In our series, patients were followed up until April 2018, 13 cases of metastatic relapses were recorded, i.e. 21.7% of cases. In a single-factor study, the prognostic parameters were mean consultation time, age, family history of breast cancer, tumor size, histological type, number of lymph nodes invaded, lymphatic embolism, SBR grade, hormone receptor, and herecept-test status. The overall survival rate of all patients was 92,1% at 3 years and 88,9% at 5 years. Multifactorial analysis isolated 3 prognostic parameters: initial tumor size, the number of lymphaitic gonglion invaded and the molecular type.
State Restructuring and Urban Innovation Development in Post-reform China: Shanghai’s Innovation Action in Review

Article history Received: 29 April 2021 Accepted: 04 June 2021 Published Online: 16 June 2021 Given the ample evidences from present studies on national-level innovation policies evolution and mechanisms, this paper contributes to a city-level understanding towards innovation-related state restructuring, the consequent innovation policy change and its relational performance with urban development in post-reform Shanghai, China from an inputoutput perspective. It unfolds that state restructuring relinquishing state power to the market has revived non-government innovation activities and a synchronous, though a bit backward, firms-oriented transition towards innovation development in Shanghai throughout 1990s has been observed. Though scholars are reluctant to label the party-state in post-reform China as a developmental state due to dysfunctionality of state intervention in corporate sectors, in the field of technological upgrading, such topdown, elite driven and state-sponsored mode giving priority to innovation competitiveness well captures the developmental state model at local level, thus exhibits elements of local developmental state. Impacts of this restructuring and policy change are substantial, which can be observed in the soaring increase of science and technology expenditures and patents applications in Shanghai. Additional analysis further unveils that in most circumstances, innovation growth kept paces with urban development, yet its synergy with economic development and permanent residents is more significant than with other aspects.
Recovery and Prediction of Bimanual Hand Use After Stroke

Objective To determine similarities and differences in key predictors of recovery of bimanual hand use and unimanual motor impairment after stroke. Method In this prospective longitudinal study, 89 patients with first-ever stroke with arm paresis were assessed at 3 weeks and 3 and 6 months after stroke onset. Bimanual activity performance was assessed with the Adult Assisting Hand Assessment Stroke (Ad-AHA), and unimanual motor impairment was assessed with the Fugl-Meyer Assessment (FMA). Candidate predictors included shoulder abduction and finger extension measured by the corresponding FMA items (FMA-SAFE; range 0–4) and sensory and cognitive impairment. MRI was used to measure weighted corticospinal tract lesion load (wCST-LL) and resting-state interhemispheric functional connectivity (FC). Results Initial Ad-AHA performance was poor but improved over time in all (mild-severe) impairment subgroups. Ad-AHA correlated with FMA at each time point (r > 0.88, p < 0.001), and recovery trajectories were similar. In patients with moderate to severe initial FMA, FMA-SAFE score was the strongest predictor of Ad-AHA outcome (R2 = 0.81) and degree of recovery (R2 = 0.64). Two-point discrimination explained additional variance in Ad-AHA outcome (R2 = 0.05). Repeated analyses without FMA-SAFE score identified wCST-LL and cognitive impairment as additional predictors. A wCST-LL >5.5 cm3 strongly predicted low to minimal FMA/Ad-AHA recovery (≤10 and 20 points respectively, specificity = 0.91). FC explained some additional variance to FMA-SAFE score only in unimanual recovery. Conclusion Although recovery of bimanual activity depends on the extent of corticospinal tract injury and initial sensory and cognitive impairments, FMA-SAFE score captures most of the variance explained by these mechanisms. FMA-SAFE score, a straightforward clinical measure, strongly predicts bimanual recovery. ClinicalTrials.gov Identifier NCT02878304. Classification of Evidence This study provides Class I evidence that the FMA-SAFE score predicts bimanual recovery after stroke.
A New Reference Model for the Evolution of Oceanic Lithosphere in a Cooling Earth

We present a new reference model for the evolution of oceanic lithosphere, which incorporates the effects of incomplete viscous relaxation, radiogenic heating, and secular cooling. The new reference model is based solely on thermal conduction, that is, without involving the occurrence of small‐scale convection, and unlike the plate model, it does not contain unphysical boundary conditions. Yet, our model can explain both bathymetry and the heat flow data on the normal seafloor. The success of the new model owes to the use of realistic material properties in conduction modeling as well as the consideration of all of major processes that take place ubiquitously beneath seafloor. The effect of secular cooling on the bathymetry of old seafloor is particularly notable. Whereas secular cooling brings only weak temperature variations with an amplitude of ∼20 K, it can nonetheless affect global bathymetry substantially owing to the deep sensitivity of long‐wavelength topography kernels. We suggest that the well‐known fact that Earth has been cooling, which was not considered in any of previous reference models, may be the key to the long‐standing puzzle of seafloor flattening. The new reference model is expected to be useful to better quantify the impact of the emplacement of hotspot islands and oceanic plateaus, the effect of small‐scale convection, and the regional history of secular cooling in the convecting mantle.
Use of cell selection tools in the creation of agricultural crop varieties resistant to abiotic stress

Аnikina, I. , Oves, E. , Adamzhanova, Zh. & Kaynidenov, N. (2021). Use of cell selection tools in the creation of agricultural crop varieties resistant to abiotic stress. Bulg. J. Agric. Sci., 27 (3), 505–511 To increase the productivity and sustainability of agriculture, it is necessary to create high-yielding and climate-resistant crops that are resistant to abiotic and biotic stresses. This review presents the role of cell culture as an accessible and effective tool for studying the genetic mechanisms of plant resistance and creating crop varieties that are resistant to abiotic stresses. In addition, this review describes the potential role of the latest genomic tools in decoding combined plant stress tolerance. The review explores integrated strategies that include the vast and diverse traditional and modern (structural, functional, comparative, and epigenomic) approaches, resources, and genomics-based selection methods that agricultural biotechnologists can adopt and use to analyze and decode the molecular and gene regulatory networks involved, complex quantitative indicators of crop yield and stress resistance. The use of the latest tools of biotechnology, namely QTL analysis, genome assessment through sequenced EST and сDNA analysis using biochips, mutagenesis research, as well as transgenic approaches can provide success in understanding the mechanisms of resistance to abiotic stress, which will overcome the barriers to creating varieties that are resistant to negative factors of the growing environment.
Life history traits of ribbonfish Trichiurus lepturus (Linnaeus, 1758) in the Persian Gulf and Oman Sea

Ribbonfish, Trichiurus lepturus (Linnaeus, 1758), is an important component of subsistence fisheries throughout its tropical and subtropical distribution. The catch rate of ribbonfish has increased seven-fold in a decade in the Persian Gulf and Oman Sea. We collected monthly biological samples from T. lepturus , to estimate growth and mortality parameters, and identify species reproductive pattern. The annual instantaneous rate of fishing mortality (0.63 year -1 ) was higher than the target (F opt =0.26 year −1 ) and limit (F lim =0.35 year −1 ) reference points, indicating that the ribbonfish stock is overexploited. The gonado-somatic index and monthly gonadal maturity stages of harvested fishes indicated that T. lepturus presents continuous reproductive activity throughout the year, peaking in the four months from February to May. The size at first maturity was estimated at 70.9 cm total length for females. The overall sex ratio differed significantly from the expected 0.5 with a larger proportion of females (χ2=203.10; p <0.001). The current study provide important information that can facilitate management, conservation, and sustainable fishing of T. lepturus in the Persain Gulf.
Multitask Adaptation with Lattice-Free MMI for Multi-Genre Speech Recognition of Low Resource Languages

In this paper, we develop Automatic Speech Recognition (ASR) systems for multi-genre speech recognition of low-resource languages where training data is predominantly conversational speech but test data can be in one of the following genres: news broadcast, topical broadcast and conversational speech. ASR for low-resource languages is often developed by adapting a pre-trained model to a target language. When training data is predominantly from one genre and limited, the system’s performance for other genres suffer. To handle such out-of-domain scenarios, we employ multitask adaptation by using auxiliary conversational speech data from other languages in addition to the target-language data. We aim to (1) improve adaptation through implicit data augmentation by adding other languages as auxiliary tasks, and (2) prevent the acoustic model from over-ﬁtting to the dominant genre in the training set. Pre-trained parameters are obtained from a multilingual model trained with data from 18 languages using the Lattice-Free Maximum Mu-tual Information (LF-MMI) criterion. The adaptation is performed with the LF-MMI criterion. We present results on MATERIAL datasets for three languages: Kazakh and Farsi and Pashto.
COMPARING THE REFLECTIVITY OF UNGROUPED CARBONACEOUS CHONDRITES WITH THAT OF 2P/ENCKE COMET

Comet 2P/Encke is a short period comet, being one of the largest object of the so-called Taurid complex. It has been proposed that its spectral behaviour makes it similar to pristine carbonaceous asteroids, but little is known about its real nature. During the last decades other near-Earth objects have been discovered with orbits that can be linked to 2P/Encke and to the Taurid complex. So far this group of bodies includes at least 19 of the brightest near-Earth asteroids and two meteoroid streams, i.e., Taurid North and Taurid South. We compared the spectral behaviour of 2P/Encke with laboratory spectra of carbonaceous chondrites. Different specimens of the common carbonaceous chondrite groups do not match the overall features and slope of comet 2P/Encke. Trying anomalous carbonaceous chondrites, we found two meteorites, Meteorite Hills 01017 and Grosvenor Mountains 95551, which could be good proxies for the dark materials forming this shortperiod comet. We hypothesise that these two meteorites could be rare surviving samples, either from the Taurid complex or another compositionally similar bod. As a natural outcome, we think that identifying good proxies of 2P/Encke-forming materials might have interesting implications for future sample-return missions to evolved, potentially dormant or extinct, comets. To understand the compositional nature of evolved comets is particularly relevant in the context of the future mitigation of impact hazard from these dark and dangerous projectiles. Manuscript pages: 13, Figures 3, Tables: 2
Exploring Factors Associated with the Social Discrimination Experience of Children from Multicultural Families in South Korea by using Stacking with Non-linear Algorithm

The number of children from multicultural families is increasing rapidly along with quickly increasing multicultural families. However, there are not enough surveys and basic researches for understanding the characteristics of multicultural children and issues such as social discrimination. This study discovered the machine learning model with the best performance for predicting the social discrimination experience of children from multicultural families by comparing the prediction performance (accuracy) of individual prediction models and stacking ensemble models. This study analyzed 19,431 adolescents (between 19 and 24 years old: 9,835 males and 9,596 females) among the children of marriage immigrants. This study used random forest (RF), rotation forest, artificial neural network (ANN), and support vector machine (SVM) for the base model. Logistic regression algorithm was applied for the meta model. Each machine learning model was built through 5-fold cross-validation. Root-mean-square-error (RMSE), index of agreement (IA), and variance of errors (Ev) were used to evaluate the prediction performance of the developed models. The results of this study indicated that the prediction performance of the rotation forest-logistic regression model had the best performance. The future studies need to explore stacking ensemble models with the best performance through combining a base model and a meta model by using various machine learning algorithms such as clustering and boosting.
Using Digital Nudges on Analytics Dashboards to Reduce Using Digital Nudges on Analytics Dashboards to Reduce Anchoring Bias Anchoring Bias

This study investigates the effectiveness of digital nudging on reducing the anchoring bias observed in the use of supply chain management (SCM) software. A between-subjects experiment with 61 participants was conducted comparing a control group with two types of digital nudges implemented on an SCM analytics dashboard. Findings show that digital nudging can help mitigate an anchoring bias in several use conditions. Theoretical and practical contributions are discussed, which include that in addition to individual-level outcomes, digital nudging can also be applied in business environments to improve organizational-level performance.
The Effect of E-Servicescape, Website Trust and Perceived Value on Consumer Online Booking Intentions: The Moderating Role of Online Booking Experience

Nowadays, there has been a rapid growth in the number of online users, which only indicates that technology is becoming even more popular. Therefore, maintaining an effective website has become essential for businesses to gain a competitive advantage. Nevertheless, the understanding of e-servicescape attributes remains unclear, especially in the tourism and hospitality sector. Therefore, this study aims to explore how the e-servicescape of a third-party website affects consumers’ behavior by developing a research model. A structural equation model was utilized to test the conceptual model. The findings suggest that both aesthetic appeal and layout & functionality can affect website trust and perceived value. Financial security affects perceived value but does not affect website trust. Both website trust and perceived value can affect online booking intentions. Furthermore, high-experienced consumers tend to have higher website trust and perceived value than less-experienced ones. Our findings provide managers with new guidance on designing and developing effective third-party websites.
Nose-to-Brain Delivery of Dexamethasone: Biodistribution Studies in Mice

Neuroinflammation (NI) is an important physiologic process which promotes the tissue repair and homeostatic maintenance in the central nervous system after different types of insults. However, when it is exacerbated and sustained in time, NI plays a critical role in the pathogenesis of different neurologic diseases. The high systemic doses required for brain-specific targeting lead to severe undesirable effects. The intranasal (IN) route has been proposed as an alternative drug administration route for a better NI control. Herein, the brain biodistribution of intranasally administered dexamethasone versus intravenously administered one is reported. A higher amount of dexamethasone was found in every analyzed region of those brains of intranasally administered mice. HPLC analysis also revealed that IN administration allows Dex to arrive faster and in a greater concentration to the brain in comparison with intravenous administration, data confirmed by immunofluorescence and HPLC analysis. These data support the proposal of the IN administration of Dex as an alternative for a more efficient control of NI. SIGNIFICANCE STATEMENT This work highlights the biodistribution of dexamethasone after its intranasal administration. Intranasal administration allows for a faster arrival, better distribution, and a higher concentration of the drug within the brain compared to its intravenous administration. These results explain some of the evidence shown in a previous work in which dexamethasone controls neuroinflammation in a murine stroke model and can be used to propose alternative treatments for neuroinflammatory diseases.
Fourier Transform and Machine Learning Techniques for Fault Detection and Diagnosis of Induction Motors

Induction motors are widely used in different industry areas and can experience various kinds of faults in stators and rotors. In general, fault detection and diagnosis techniques for induction motors can be supervised by measuring quantities such as noise, vibration, and temperature. The installation of mechanical sensors in order to assess the health conditions of a machine is typically only done for expensive or load-critical machines, where the high cost of a continuous monitoring system can be justiﬁed. Nevertheless, induced current monitoring can be implemented inexpensively on machines with arbitrary sizes by using current transformers. In this regard, effective and low-cost fault detection techniques can be implemented, hence reducing the maintenance and downtime costs of motors. This work proposes a method for fault detection and diagnosis of induction motors, which combines classical fast Fourier transform and modern/advanced machine learning techniques. The proposed method is validated on real-world data and achieves a precision of 99.7% for fault detection and 100% for fault classiﬁcation with minimal expert knowledge requirement. In addition, this approach allows users to be able to optimize/balance risks and maintenance costs to achieve the highest beneﬁt based on their requirements. These are the key requirements of a robust prognostics and health management system.
Mechanical Tuning of Thermal Transport in a Molecular Junction

Understanding and controlling heat transport in molecular junctions would provide new routes to design nanoscale coupled electronic and phononic devices. Using first-principles full quantum calculations, we tune thermal conductance of a molecular junction by mechanically compressing and extending a short alkane chain connected to graphene leads. We find that the thermal conductance of the compressed junction drops by half in comparison to the extended junction, making it possible to turn on and off the heat current. The low conductance of the off state does not vary by further approaching the leads and stems from the suppression of the transmission of the in-plane transverse and longitudinal channels. Furthermore, we show that misalignment of the leads does not reduce the conductance ratio. These results also contribute to the general understanding of thermal transport in molecular junctions.