Miracle-dz/UniFAR-FTUs huggingface dataset:
Low-Grade Uterine Endometrial Stromal Sarcoma: Prognostic Analysis of Clinico-Pathological Characteristics, Surgical Management, and Adjuvant Treatments. Experience From Two Referral Centers

Objective Low-grade uterine endometrial stromal sarcoma (LG-ESS) is a rare tumor characterized by an overall good survival but showing a indolent behavior and a variable risk of recurrence. There is no clear consensus on the optimal management of these tumors and no prognostic or predictive factors have been established. With this study, we evaluated the prognostic relevance of several clinical, surgical, and pathological features in patients affected by LG-ESS to identify risk factors associated with recurrence. Methods We retrospectively analyzed 52 LG-ESS cases, treated from January 1st, 1994, to May 31st, 2020, in two referral centers. The relationship between recurrence and clinicopathological characteristics as well as surgical treatment was investigated. Risk of recurrence and disease-free survival (DFS) were estimated by Cox regression and the Kaplan-Meier analysis, respectively. Results Of 52 patients with LG-ESS, 8 experienced recurrence (15%). The median follow-up was 100 months (SD ± 96, range: 15–336). By univariate analysis, fragmentation/morcellation, tumor size, FIGO stage, higher mitotic count, presence of necrosis, and lymphovascular space invasion (LSVI) resulted associated with a poorer outcome. Conversely, the surgical modality (laparotomic vs laparoscopic and hysterectomy with bilateral salpingo-oophorectomy vs local excision) and pelvic lymphadenectomy were not. Even the different modalities of adjuvant therapy (hormonal therapy, radiotherapy, and chemotherapy) showed no prognostic significance. Tumor fragmentation/morcellation and higher mitotic count resulted independent prognostic variables at multivariate analysis. Conclusions This data supports the avoidance of any type of morcellation if LG-ESS is suspected preoperatively. Higher mitotic count and, possibly, tumor size, advanced FIGO stage, necrosis, and LVSI could be exploited to tailor the adjuvant therapy, but these results need to be confirmed in larger prospective studies.
Relationship between Lower Limbs Performance and Spinal Alignment in Parkinson’s Disease Patients: An Observational Study with Cross Sectional Design

Parkinson’s disease (PD) is a progressive neurodegenerative disease determining spinal deformities and muscle rigidity, weakness and dystonia that can be related to a change in muscular output during sit-to-stand tasks (STS). Purpose: The aim of this study was to determine the impacts of spinal alignment on lower limbs performance during STS tasks in Parkinson’s disease (PD) patients and healthy controls. Methods: In total, 43 consecutive PD patients (“PD” Group, 25 males and 18 females; age 73.7 ± 7.1) and 42 people not affected by any type of neurological disease (“CON” Group, 22 males, 20 females; age 69.8 ± 6.0) participated in the observational study. The clinical assessment included: IPAQ (International Physical Activity Questionnaire), Hoehn Yahr score, plumb-line distance from the spinous process of C7, kyphosis apex and the spinous process of L3 and S1. We used the Muscle Quality Index test (MQI) to assess muscle power output during STS in both groups. Results: The MQI test measurements of absolute and relative lower limb power was significantly lower in the PD group, in addition to a negative correlation with age and a positive correlation with PL-L3 in that group of patients. Conclusions: A final consideration regarding our results leads to the possibility that the preservation of lumbar lordosis may be one of the factors for maintaining efficient biomechanics of the lower limb muscles, with the preservation of the physiological contractile characteristics of these muscles being the objective for a multidisciplinary rehabilitation based on postural exercises of the spine and a program of training exercises for the lower limb muscles.
Investigating the energy resolution of arrays of small scintillation crystals

Arrays of small scintillation crystals are being used increasingly for high-resolution imaging applications in nuclear medicine. Although the degree of pixellation now available is high for some scintillation materials, this spatial-resolution is often achieved at the expense of degraded energy-resolution due to the lower, and more variable, light-collection efficiency. The energy-resolution of a detector is, however, especially important in nuclear medicine where events that have been scattered in the body need to be rejected efficiently. The light-output from a range of CsI(Tl) arrays was measured in terms of the number of photoelectrons detected, using a hybrid photodiode. This data, used in conjunction with the measured energy-resolution and an estimate of the intrinsic energy-resolution of CsI(Tl), was used to assess the magnitudes of the various contributions to the overall energy-resolution of these detectors. This information suggested that there is an opportunity to improve their energy-resolution by carefully choosing the geometry and reflector material to minimise the variance in the light collection. If the nature of this variance is understood sufficiently well, there maybe an opportunity to apply a similar post-processing technique to that which has dramatically improved the performance of other standard scintillation detectors. This possibility depends on the use of either the uniform quantum efficiency of the M-HPD photocathodes or a monolithic array of PIN diodes. This would ensure that no additional or indeterminate variance in the light-collection is introduced. Measurements made using fine BGO arrays for higher-energy applications and columnar grown CsI(Tl) for X-ray imaging will also be presented.
Critical Success and Moderating Factors Effect in Indonesian Public Universities’ Business Incubators

This study aims to examine the effect of critical success and moderating factors in Indonesian public universities' business incubators. The study of business incubators benefits university professors in their roles as managers and advisors, university faculty entrepreneurs and start-ups/tenants in the knowledge transfer and entrepreneurship learning processes, and government officials in effective policy making. For the universities, the incubators serve as a platform for the commercialization of their research efforts. The incubators assist the universities' stakeholders in fulfilling their newly identified responsibilities towards building the nation's economy and giving the faculty members and graduate students the chance to conduct research. Regarding the economic environment, the incubators help create job opportunities, increase the country's economic value, and reduce poverty. This research employed the quantitative method approach, and the data were analyzed using the IBM SPSS version 23 and Smart PLS version 3 statistical software packages. The samples of this research were comprised of 31 business incubator managers from Indonesian public universities. Although there have been previous models about critical success and moderating factors for business incubators in other countries, this study is the first that was conducted in Indonesia and found direct and indirect relationships between critical success factors and moderating success factors for Indonesian Public University Business Incubators. The results of the research demonstrated that good system and infrastructure showed a strong direct relationship with success factors and that information technology showed a strong relationship with the moderating factors, namely age and quality of facilities. Furthermore, mentoring and networking showed a strong relationship with the moderating factors good system and infrastructure and that university regulation had a strong relationship with moderating factor credit and rewards. Entry criteria, exit criteria, and funding support showed strong direct relationships to success factors. These findings could improve the management of business incubators in Indonesian Public Universities and allow them to more successful.
MOLECULAR AND MORPHOLOGICAL CHARACTERIZATION OF THE GENUS GLOBOCEPHALOIDES FROM MACROPODID MARSUPIALS IN AUSTRALIA INÊS ISABEL PAULO FAZENDA

The genus Globocephaloides (Nematoda: Trichostrongyloidea) is a pathogenic group of parasitic nematodes present in the duodenum of kangaroos and wallabies (Marsupialia: Macropodidae) in Australia. Globocephaloides species (G. trifidospicularis, G. macropodis and G. affinis) have been poorly studied and thus, there are significant controversies regarding their systematics and population structures. In the present study, single-strand conformation polymorphism (SSCP) and targeted sequencing of the internal transcribed spacers (ITS) of nuclear ribosomal DNA, were used to assess the genetic variation within and among Globocephaloides populations and individuals, from different host species and geographical origins. No or minor (0.2%) variation was detected among individuals of G. trifidospicularis and G. affinis. However, within G. macropodis populations there was a consistent heterogeneity in the ITS sequences (5.2 7.1%) between worms derived from two different host species (Macropus agilis and M. dorsalis). Under light microscopy, these two G. macropodis genotypes differed by the length, arrangement and tip of the spicules, and by pattern of the bursal rays. Thus, they were considered to represent sibling species. The molecular and morphological evidence culminated with the erection of a new species, namely G. wallabiae, and provided further insights into the host affiliation and geographical ranges of Globocephaloides spp. : G. wallabiae occurs mainly in M. dorsalis (north/east), G. macropodis in M. agilis and Petrogale persephone (north), G. affinis in M. dorsalis (northeast), and G. trifidospicularis in various Macropus species (south). Moreover, in the present study, the phylogenetic analyses between the genus Globocephaloides and other trichostrongyloid genera, using divergent domains of the 28S rRNA genes, gave evidence for the exclusion of the genus Globocephaloides from the Herpetostrongylidae, with the suggestion of a new family, namely „Globocephaloididae‟, within the Heligmosomoidea.
A fusion-based contrastive learning model for cross-modal remote sensing retrieval

ABSTRACT With the rapid growth of cross-modal data, cross-modal retrieval has become a research hotspot in the field of remote sensing, and remote-sensing image–text retrieval (RSITR) has attracted extensive attention for its flexible and efficient way to get the interested information and its available application. However, most of the existing methods cannot adequately extract fine unimodal features and are poor at exploring potential correlations between different modalities, leading to unsatisfactory performance. Besides, the majority of the existing datasets and methods for image–text retrieval are based on English, and few researches are focused on Chinese captions, but the application of image–text retrieval in the remote-sensing field should not be restricted by the language. In this article, we introduce a novel fusion-based contrastive learning model (FBCLM) for RSITR to cope with the problems of unimodal feature extracting and correlation exploring of remote-sensing image–text pairs, and the model is available for image–text retrieval on both English and Chinese caption datasets. Our model employs the unimodal encoder containing the self-attention module to extract the fine-grained features of the single modal and further utilizes the cross-modal fusion module to improve the discriminative ability of feature representation, which uses the cross attention mechanism. Furthermore, contrastive loss is applied to the method to enhance the image–text retrieval performance by exploring the underlying semantic relationship between visual and textual representations. In addition, we construct several remote-sensing image Chinese caption datasets for RSITR. The experimental results on several public RSITR datasets and the proposed datasets demonstrate the outperformance of our model in the cross-modal remote-sensing image–text retrieval task.
The Potential Contribution of Dental Foci and Oral Mucositis to Febrile Neutropenia in Patients Treated With Myelosuppressive Chemotherapy for Solid Tumors and Lymphoma

Introduction Febrile neutropenia (FN) is a potential life-threatening complication of myelosuppressive chemotherapy, particularly when induced by infection. There is evidence that FN can originate from the oral cavity, but its contribution to FN is largely understudied in patients treated for solid tumors. The aim of this study was to assess the prevalence of FN in these patients and to evaluate its relation with dental foci and oral mucositis. Material and Methods A prospective longitudinal observational study was conducted. Patients diagnosed with solid tumors and lymphoma scheduled to be treated with myelosuppressive chemotherapy with an intermediate risk of developing FN were included. A pre-chemotherapy dental examination was performed and patients were followed during and after chemotherapy regimen. During subsequent hospital visits for chemotherapy administration, the oral cavity was inspected and oral mucositis (OM) was scored using the CTC-AE version 3.0. When patients presented with fever, a comprehensive full body examination including laboratory/microbiological/imaging investigation was performed. Results Eighty-eight patients were included. Pre-chemotherapy, 39 patients (44.3%) were diagnosed with a dental focus. During chemotherapy, 46 patients developed OM (53.4%), of which 15 patients had a maximum score of grade II (ulcerative mucositis). Ten patients developed FN during the follow-up period. Patients with FN more often suffered from ulcerative OM compared to patients without FN; both FN and mucositis risk was associated with the myelotoxicity of chemotherapy. However, no relation could be established between the presence of dental foci prior to chemotherapy and the development of FN (p > 0.05). Conclusion A significant relation was identified between ulcerative OM and FN, but no robust conclusions could be drawn with respect to a relationship between the presence of dental foci and FN.
Stochastic representation of a discrete Hilbert transform

We show that the centered discrete Hilbert transform on integers applied to a function can be written as the conditional expectation of a transform of stochastic integrals, where the stochastic processes considered have jump components. The stochastic representation of the function and that of its Hilbert transform are under differential subordination and orthogonality relation with respect to the sharp bracket of quadratic covariation. This illustrates the Cauchy Riemann relations of analytic functions in this setting. This result is inspired by the seminal work of Gundy and Varopoulos on stochastic representation of the Hilbert transform in the continuous setting.
CHARACTERIZATION OF BREAD WHEAT SEGREGATING POPULATIONS UNDER OPTIMUM IRRIGATION AND WATER STRESS CONDITIONS

Water scarcity is currently threatening almost every country in the arid regions. Using advanced generations, breeding can help in the development of improved bread wheat genotypes for adaptation to abiotic and biotic stresses. The pedigree selection was practiced on two bread wheat crosses (Sids 12 × Line 44) and (Line 20 × Sakha 93) during two seasons (2017−2018 and 2018–2019) under full irrigation (optimal conditions) and limited irrigation (drought-stressed) conditions at Kafer El-Hamam Agriculture Station, Agricultural Research Center, Giza, Egypt. The results indicated significant differences in two crosses of F2 and F3 families for all the studied traits under optimal irrigation and water stress. The estimates of phenotypic coefficients of variability (PCV) were slightly higher than those of genotypic coefficients of variability (GCV) for all the traits in two crosses of both water regimes. Broad-sense heritability (h2Bs) estimates, accompanied with high magnitudes of the genetic advance (GA), were higher under optimal irrigation than water stress in F2 and F3 generations of two crosses. A positive correlation was recorded between spikes per plant and grain yield in both water treatments of two crosses. A positive correlation (r) was revealed between offsprings (F3) and their parents (F2) in yield and its components under optimal irrigation and water stress conditions. Hence, the hybridization followed by selection under optimal and drought stress conditions have been a demand to accelerate the genetic gain of wheat grain yield.
Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments

Mapping systems that turn sensor data into a model of the environment are standard components in mobile robotics. Outdoor robots are often equipped with 3D LiDAR sensors to obtain accurate range measurements at a high frame rate. The price for a robotic LiDAR sensor scales roughly linearly with the number of beams and thus the vertical resolution of the scanner. In general, the cheaper the sensors, the sparser the point cloud. In this letter, we address the problem of building dense models from sparse range data. Instead of requiring the vehicle to move slowly through the environment or to traverse the scene multiple times to cover the space densely, we investigate geometric scan completion through a learning-based approach. We revisit the traditional volumetric fusion pipeline based on truncated signed distance fields (TSDF) and propose a neural network to aid the 3D reconstruction on a frame-to-frame basis by completing each scan towards a dense TSDF volume. We propose a geometric scan completion network that is trained in a self-supervised fashion without labels. Our experiments illustrate that such frame-wise completion leads to maps that are on-par or even better compared to maps generated using a higher resolution LiDAR sensor. We additionally show that our system can be used to improve the performance of SLAM systems.
Femicide and Attempted Femicide before and during the COVID-19 Pandemic in Chile

Experts and international organizations hypothesize that the number of cases of fatal intimate partner violence against women increased during the COVID-19 pandemic, primarily due to social distancing strategies and the implementation of lockdowns to reduce the spread of the virus. We described cases of attempted femicide and femicide in Chile before (January 2014 to February 2020) and during (March 2020 to June 2021) the pandemic. The attempted-femicide rate increased during the pandemic (incidence rate ratio: 1.22 [95% confidence interval: 1.04 to 1.43], p value: 0.016), while the rate of femicide cases remained unchanged. When a comparison between attempted-femicide and femicide cases was performed, being a foreigner, having an intimate partner relationship with a perpetrator aged 40 years or more, and the use of firearms during the assault were identified as factors associated independently with a higher probability of being a fatal victim in Chile. In conclusion, this study emphasizes that attempted femicide and femicide continued to occur frequently in family contexts both before and during the COVID-19 pandemic.
Physiological responses of broiler chickens fed reduced-energy diets supplemented with emulsifiers

Objective To investigate the physiological effects of exogenous emulsifiers in broiler chickens that were fed tallow-incorporated reduced-energy diets over 35 days. Methods A total of 256 Ross 308 one-day-old broilers (42.28±0.16 g) were randomly allocated in a 2×2 factorial arrangement to 32 pens with eight chicks per cage. Birds were fed one of four dietary treatments as follows: i) positive control (PCN; energy sufficient diet); ii) negative control (NCN; energy-deficient diet, −100 ME kcal/kg); iii) PCL (PCN plus 0.05% emulsifier); and iv) NCL (NCN plus 0.05% emulsifier). Growth performance was evaluated weekly whereas assessments for the carcass traits, digestibility, some blood metabolites, ileal morphology, and meat quality were measured on d 21 and d 35. Results Birds fed the NCL diet had higher (p<0.05) body weights, daily gains, daily feed intake, and improved feed efficiency over the entire 35-day period. Improvements (p<0.05) for the ileal digestibility of crude fat, energy, and dry matter commensurate with longer (p<0.05) villus heights were also observed with emulsifiers in the NCL and PCL diets. For the carcass measurements, only the liver weights were increased (p<0.05) with emulsifiers in the supplemented groups. For blood metabolites, higher (p<0.05) lipase levels were noticed with emulsifiers in the NCL and PCL diets. In addition, marginal reductions (p = 0.076; p = 0.095, respectively) were also noted with emulsifiers for the total cholesterol and triglyceride contents on d 35. Regarding meat quality, breast muscle yellowness was increased (p<0.05) with emulsifier use in supplemented groups. Conclusion Our results suggest that emulsifier supplementation at 0.05% in diets could potentially improve the growth performance and nutrient digestibility of broilers over 35 days. This could compensate for the lower growth performance that could be recorded with fat-incorporated lower-energy diets.
Effectiveness Evaluation of Physical Education Flipped Classroom Teaching Based on Knowledge Construction

Traditional teaching methods have faced unprecedented challenges as a result of educational reform, but it also presents limitless opportunities. The development of the flipped classroom teaching mode provides inspiration for the development of a PE teaching mode. This paper connects PE teaching with the “flipped classroom” teaching mode and designs an evaluation system for PE flipped classroom teaching based on the perspective of knowledge construction. The weight values of the contents of all levels of the evaluation dimensions of classroom teaching effectiveness are established in this paper, as well as the conceptual model and data table structure of the system database. In addition, using literature, questionnaires, and case studies, this paper investigates the effectiveness and application ideas of the “flipped classroom” teaching mode in PE classes. Experiments show that this method has an evaluation accuracy of 95.37 percent, which is about 13 percent higher than traditional methods. It is feasible and practicable in some ways. Additionally, flipping the classroom can increase student engagement, improve test scores, and increase teacher satisfaction. This study is expected to promote the use of the “flipped classroom” teaching mode in PE classes at colleges and universities, thereby speeding up the reform of PE education.