Miracle-dz/UniFAR-FTUs huggingface dataset:
Epithelial-Myoepithelial Carcinoma of the Lacrimal Gland: Case Report of Youngest Patient

The authors report a case of extremely uncommon malignancy of lacrimal gland epithelial-myoepithelial carcinoma. This carcinoma is more commonly encountered in salivary glands and comprises 1% of all salivary gland tumors. Its occurrence in the orbit is very rare with only 6 cases reported in the literature, most of which arose in a pleomorphic adenoma. Epithelial-myoepithelial carcinoma is primarily a tumor of older adults, with a peak incidence in the sixth and seventh decades of life. The present case is the youngest patient reported to date and had no history of preexisting neoplasm in the lacrimal gland. Histological diagnosis of epithelial-myoepithelial carcinoma is challenging because of the similarity with other lacrimal gland epithelial tumors like malignant adenoid cystic carcinoma and benign pleomorphic adenomas. We report a case primary lacrimal gland epithelial-myoepithelial carcinoma in a youngest patient to date. The diagnostic challenges faced in such a case have been discussed.
EMG median frequency shifts without change in muscle oxygenation following novel locomotor training in individuals with incomplete spinal cord injury

Abstract Objectives To examine the effect of muscle fiber recruitment patterns on muscle oxygen utilization during treadmill walking in a group of individuals who have incomplete spinal cord injury. Methods 5 participants with motor incomplete spinal cord injury (Age; 42.2 ± 18.8 years, Male; n = 4) completed an over ground locomotor training program. Muscle utilization/oxygenation and activation of the medial gastrocnemius were measured by near infrared spectroscopy and surface electromyography pre- and post-over ground locomotor training during two separate treadmill walking bouts at self-selected speeds. Outcomes were changes in deoxygenation hemoglobin/myoglobin concentrations, and the change in median power of the power spectrum of the electromyography after training. Results A significant increase in median power of the power spectrum of the electromyography signal was observed during both bouts of treadmill walking, 6-minute walking bout and longer fatiguing bout (49% p = 0.047 and 48% p = 0.035, respectively) post-over ground locomotor training. There was no significant change in muscle utilization/oxygenation post-over ground locomotor training. There was no significant effect of median power of the power spectrum on deoxygenation hemoglobin/myoglobin during either of the walking bouts. Conclusions The main finding of the current study was that median power of the power spectrum significantly increased following 12 weeks of over ground locomotor training, with no significant change in deoxygenation hemoglobin/myoglobin. The recruitment of more and/or larger motor units was seen in conjunction with no changes in muscle oxygen utilization for the same walking task. Implications for Rehabilitation The reduction of skeletal muscle innervation in Spinal Cord Injury may adversely affect the orderly recruitment of motor units, which could in turn blunt the oxidative metabolic response during physical activity. Over-ground locomotor could be a useful tool in the rehabilitative process following an incomplete spinal cord injury.
Gr Gb difference in 3M CMOS Image Sensor with 1.75μm pixel

For CMOS image sensors with smaller pixel size, the pixel structure in which several pixels share floating diffusion or transistors tends to be adopted to enhance photodiode capacity and sensitivity. We have observed that in spite of aforementioned benefits, application of this structure may result in sensitivity difference between the shared pixels when light is obliquely incident. On captured images it appears as a difference between Gr and Gb channels. In this paper we compare structures of initial and improved 2.25um pixels. And the new sensor with 1.75um pixel size is compared. The improved 1.75um pixel was designed much more symmetrically than the 2.25um pixel due to advantage of 90nm Cu process. Gr Gb difference according to microlens shift and sensor factors (relative sensitivity at oblique incidence) were measured and compared for both sensors with 2.25um and 1.75um pixel sizes. It was proved that tolerance of Gr Gb difference to microlens shifts was greatly improved and that sensor factor of 1.75um pixel is superior to that of 2.25um.
Assessing Factors for Designing a Successful B2C E-Commerce Website Using Fuzzy AHP and TOPSIS-Grey Methodology

The recent hype in online purchasing has skyrocketed the importance of the electronic commerce (e-commerce) industry. One of the core segments of this industry is business-to-consumer (B2C) where businesses use their websites to sell products and services directly to consumers. Thus, it must be taken care of that B2C websites are designed in a way which can build a trustworthy and long-term relationship between businesses and consumers. Thus, this study assesses and prioritizes factors for designing a successful B2C e-commerce website. The study employs multi-criteria decision making (MCDM), and to minimize any ambiguity and greyness in the decision-making, it integrates fuzzy and grey respectively with the Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to form FAHP and TOPSIS-Grey. Initially, the study conducts a thorough literature survey to screen important factors reported in past studies. Five main factors and nineteen sub-factors were selected for further prioritization. Later, FAHP prioritized factors based on their importance. Finally, based on the FAHP results, TOPSIS-Grey ranked five alternatives (e-commerce websites). FAHP revealed “service quality” as the most successful website designing factor, while TOPSIS-Grey reported “Website-3” as the most successful website, having incorporated the factors required to design a successful website.
Consequences of Duchenne Muscular Dystrophy in Gastrointestinal Tract

Duchenne Muscular Dystrophy (DMD) is the neuromuscular disorder, affecting approximately 1 in 3700-10.000 newborn males [1]. This disorder is caused by mutations in the gene encoding dystrophin protein, which connects the cytoskeleton with the extracellular matrix of muscle [2]. The absence of dystrophin leads to progressive skeletal muscle wasting associated with increased inflammation, oxidative stress, Ca2+ influx and loss of nitric oxide synthase (NOS) function [3]. DMD is a multi-systemic disease because affects skeletal muscle, heart, brain and smooth muscles, due to expression of dystrophin in these organs [4].
Clinical Features of Dengue Infection in Hospital for Tropical Diseases, Thailand

Background: Dengue infection is the common infectious disease in tropical countries caused by dengue virus, which has four serotypes (DEN 1, 2, 3 and 4). More data showed that dengue has caught worldwide attention due to its severe and fatal clinical outcome. This study aimed to describe the difference of clinical features of dengue infection between children and adults and among each dengue serotypes in Hospital for Tropical Diseases, Mahidol University, Bangkok, Thailand during 2011- 2013. Study Design: This study was a hospital-based retrospective. In- patient medical record of 50 children and 148 adults with clinical and laboratory confirmed dengue infection and admitted to Hospital for Tropical Diseases, Mahidol University, Bangkok, Thailand during July 2011- June 2013 were reviewed. Results: We found that headache and myalgia/arthalgia were found in most of the cases (182/198, 91.9%; 178/198, 89.9%, respectively). Epistaxis and hypermenorrhea were more common in children. Retro-orbital pain was more common in adult. The spontaneous bleeding tended to be more common in children than adults. DEN2 (48.9%) was the most common serotype followed by DEN3 (23.7%), DEN1 (22.2%) and DEN4 (5.2%). Regarding dengue serotypes, subjects infected with DEN1 had more shock, hypermenorrhea and epistaxis than others. Lymphadenopathy and rash during febrile stage were found in subjects infected with DEN2 only. Subjects infected with DEN4 infection had more retro-orbital pain and petechiae than others. Conclusion: The results show secondary dengue infection was most common and the most prevalent dengue serotype was serotype 2. Typical symptoms in adult involved retro orbital pain, nausea and arthralgia while children might suffer epistaxis and hypermenorrhea. We also found that DEN 1 tended to have more mucosa bleeding and shock. In DEN 4 infection, subjects had more retro-orbital pain and skin bleeding.
The Rayleigh Birnbaum Saunders Distribution: A General Fading Model

A new compound non-symmetric distribution for modeling arbitrary fading-shadowing wireless channels is introduced and studied here. This distribution has some advantages in front of other well-known non-symmetric fading distributions such as the Rayleigh–lognormal distribution and the K distribution especially in the tails. We give closed-form expressions for the average BER of DPSK and MSK when the new distribution is used. Applications to compare how the new distribution works in comparisons with the Rayleigh–lognormal, K distributions and others recently proposed in the literature of fading channel are also provided.
A 3D Mask Presentation Attack Detection Method Based on Polarization Medium Wave Infrared Imaging

Facial recognition systems are often spoofed by presentation attack instruments (PAI), especially by the use of three-dimensional (3D) face masks. However, nonuniform illumination conditions and significant differences in facial appearance will lead to the performance degradation of existing presentation attack detection (PAD) methods. Based on conventional thermal infrared imaging, a PAD method based on the medium wave infrared (MWIR) polarization characteristics of the surface material is proposed in this paper for countering a flexible 3D silicone mask presentation attack. A polarization MWIR imaging system for face spoofing detection is designed and built, taking advantage of the fact that polarization-based MWIR imaging is not restricted by external light sources (including visible light and near-infrared light sources) in spite of facial appearance. A sample database of real face images and 3D face mask images is constructed, and the gradient amplitude feature extraction method, based on MWIR polarization facial images, is designed to better distinguish the skin of a real face from the material used to make a 3D mask. Experimental results show that, compared with conventional thermal infrared imaging, polarization-based MWIR imaging is more suitable for the PAD method of 3D silicone masks and shows a certain robustness in the change of facial temperature.
On the Energy Efficiency of Massive MIMO Systems With Low-Resolution ADCs and Lattice Reduction Aided Detectors

As an effective technology for boosting the performance of wireless communications, massive multiple-input multiple-output (MIMO) systems based on symmetric antenna arrays have been extensively studied. Using low-resolution analog-to-digital converters (ADCs) at the receiver can greatly reduce hardware costs and circuit complexity to further improve the energy efficiency (EE) of the system. There are significant research on the design of MIMO detectors but there is limited study on their performance in terms of EE. This paper studies the effect of signal detection on the EE in practical systems, and proposes to apply several signal detectors based on lattice reduction successive interference cancellation (LR-SIC) to massive MIMO systems with low-precision ADCs. We report results on their achievable EE in fading environments with typical modeling of the path loss and detailed analysis of the power consumption of the transceiver circuits. It is shown that the EE-optimal solution depends highly on the application scenarios, e.g., the number of antennas employed, the cell size, and the signal processing efficiency. Consequently, the signal detector must be properly selected according to the application scenario to maximize the system EE. In addition, medium-resolution ADCs should be selected to balance their own power consumption and the associated nonlinear distortion to maximize the EE of system.
A Framework for the Capacity Evaluation of Multihop Wireless Networks?

Abstract NThe speciÞc challenges of multihop wireles networkslead to a strong research effort on efÞcient protocols designwhere the offered capacity is a key objective. More speciÞcally,routing strategy largely impacts the network capacity, i.e. thethroughput offered to each sow. In this work, we propose acomplete framework to compute the upper and the lower boundsof the network capacity according to a physical topology and agiven routing protocol. The radio resource sharing principles ofCSMA-CA is modeled as a set of linear constraints with twomodels of fairness. The Þrst one assumes that nodes have a fairaccess to the channel, while the second one assumes that onthe radio links. We then develop a pessimistic and an optimisticscenarios for radio resource sharing, yielding a lower bound andan upper bound on the network capacity for each fairness case.Our approach is independent of the network topology and therouting protocols, and provides therefore a relevant frameworkfor their comparison. We apply our models to a comparativeanalysis of a well-known sat routing protocol OLSR againsttwo main self-organized structure approaches, VSR and localizedCDS.Index Terms Nnetwork capacity, multihop wireless networks,upper and lower bounds, linear programing
NCWIT

NCWIT (National Center for Women & Information Technology) was chartered by the National Science Foundation (NSF) in 2004. We were founded by a trio of techies; Telle Whitney, Robert (Bobby) Schnabel and Lucy Sanders. Lucy is our fearless, feisty co-founder and CEO. NCWIT convenes, equips, and unites change-leader organizations to increase the meaningful participation of all women in the field of computing, particularly in terms of innovation and development.
An Autonomous Alarm System for Personal Safety Assurance of Intimate Partner Violence Survivors Based on Passive Continuous Monitoring through Biosensors

Intimate Partner Violence (IPV) dramatically compromises the free and complete development of many women around the world, therefore leading to social asymmetry regarding the right to personal safety. In many cases, a woman who has reported her partner to police for gender-based violence needs to ensure her protection (either before the trial of the aggressor or after their freedom). Thus, it would be ideal if autonomous alarm systems could be developed in order to call the police if necessary. Up to now, many proposals have been presented in this regard, including solutions based on Information and Communication Technologies (ICT) but, unfortunately, these approaches usually rely on the active participation of the victims (survivors), who have to turn the system on by themselves if needed. Therefore, in order to overcome such limitations, in this work, a passive continuous monitoring system is proposed which uses biosensors attached to the survivor as well as machine learning techniques to infer if an abnormal situation related to gender-based violence is taking place, activating in this case an alarm. The monitoring structure of the system supervises a great deal of bio-signals according to the current status of technology of wearables and biomedical devices. The presented biosensors-based surveillance solution can also be manually disconnected for 30/60/90 min (on demand) in order to avoid false positives when a woman is, for example, practicing sports or carrying out other inoffensive activities that could incorrectly activate the alarm.
Sub-threshold electrical stimulation improves wingless-type3 and eukaryotic initiation factor-2α expression in the presence of exogenous astrocyte in the rat model of spinal cord injury

Introduction: Spinal cord injury (SCI) is a condition which can lead to permanent loss of neurons, glial and precursor cells. According to the positive influences of electrical stimulation in the neurogenesis, we hypothesized that sub-threshold electrical stimulation in the presence of exogenous astrocyte may trigger the differential regulation of wingless-type3 (Wnt-3) and eukaryotic initiation factor-2α (eIF2α) mediators in spinal cord injured rats. Results: The results show that expression of Wnt-3 and eIF2α proteins significantly enhanced after 14 days in the electrical stimulation+ SCI+astrocyte group in comparison with SCI and SCI+astrocyte groups. Also, the expression of GFAP cells was significantly increased after 14 days by electrical stimulation compared with other groups. Electrical stimulation had no effect on expression of doublecortin after 14 days. Conclusion: This survey demonstrates that sub-threshold electrical stimulation upregulates Wnt-3 and eIF2α mediators. Also, GFAP marker expression has been increased in animals subjected to electrical stimulation. But there are no evidences based on doublecortin expression as a neurogenesis biomarker. http://dx.doi. org/10.32598/ppj.24. 1.30 iD Methods: Forty male Wistar rats (weighing 250-280g) were randomly divided into four groups: sham, SCI, SCI+astrocyte and SCI+astrocyte which followed by electrical stimulation. We evaluated the glial fibrillary acidic protein (GFAP), doublecortin, Wnt-3 and eIF2α proteins by immunofluorescence and immunoblotting
Chapter 9. The use of group vocal improvisation as a music therapy technique in a mental health setting

Although group work and the use of voice and of improvisation techniques are three common features in music therapy practices, a systematic review of the literature has shown that the combination of these elements has been overlooked in the research. This review also showed an association between using pre-composed material when working with the voice and, on the other hand, using instruments when improvising. This polarisation of instruments versus voice when addressing production and reproduction techniques in music therapy is not made explicit in the literature and therefore the clinical reasoning behind it might respond to decisions other than clinically orientated. Instead, these implicit assumptions appear to have become established practices in the music therapy discipline. The present research project addresses the use of group vocal improvisation as a specific music therapy technique and attempts to look at the differences in therapeutic processes between this specific technique and a standard use of group music therapy, mainly making use of instruments. The workshop will demonstrate some of the techniques and will attempt to demonstrate their accessibility whilst uncovering the clinical reasoning behind the use of group vocal improvisation.
Excluded Volume for Flat Galaxy Rotation Curves in Newtonian Gravity and General Relativity

Using the classical vacuum solutions of Newtonian gravity that do not explicitly involve matter, dark matter, or the gravitational constant, subject to an averaging process, a form of gravity relevant to the flattening of galaxy rotation curves results. The latter resembles the solution found if the vacuum is simply assigned a gravitational field density, and a volume of the vacuum is then excluded, with no averaging process. A rationale then follows for why these terms would become important on the galactic scale. Then, a modification of General Relativity, motivated by the Newtonian solutions, that are equivalent to a charge void, is partially defined and discussed in terms of a least action principle.
Teacher-Centered Dashboards Design Process

Interest in dashboards in schools has been growing in recent years as they have great potential in fostering data transparency and informing teachers' practices. However, research surrounding them is not unified and even less transparent, because of a lack of guidance in grounding their design as a process tailored to end-users needs. We present a process model for teacher-centered dashboards as a design and validation process with four mutually informed stages: (1) situate the domain space by framing teachers' routines, practices, and needs, (2) ideate the domain into multiple alternatives and prototypes, (3) develop, and (4) evaluate the dashboard. We drive recommendations within each stage to inform the process. We borrowed the foundations of the model from research in the HCI and InfoVis fields. We apply our model to five case studies from literature. We find that this model can provide a framework to scaffold dashboards' design process, mutually inform the underlying stages, and guide consolidating artifacts. We reflect on our work to provide design implications to point towards explainable dashboards design to best support teachers.
CIA_A_229236 151..157

Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China Objective: Data on the treatment of patients with ovarian cancer (OC) and associated cerebral infarction (CI) are extremely limited. The objectives were to investigate the risk factors for prognosis in patients with OC and associated CI. Methods: We retrospectively reviewed the electronic medical records of patients with OC from January 2013 to November 2018 in Peking Union Medical Hospital. Results: In total, 2632 inpatients were diagnosed with malignant ovarian cancer in our institution, and 30 patients (1.1%) were diagnosed with OC-associated CI. The median age was 60 years (range, 37–83). The standard treatment, according to National Comprehensive Cancer Network (NCCN) guidelines, was administered to 19 patients. The median follow-up time was 19.5 months (range, 1–59months). In total, 17 patients experienced tumor progression, and 16 of them died. In univariate analysis, overall survival was significantly associated with the D-dimer level (P=0.017), FIGO stage (P=0.014), complete cytoreduction (P<0.000) and standard treatment (P<0.000). In multivariate analysis, the standard treatment remained an independent protective factor for death (hazard ratio=0.061, 95% confidence interval=0.007–0.537, P=0.012). Conclusion: Although the prognosis of patients with OC and associated CI was poor, those who underwent the standard treatment still benefited.
A Customer Churn Prediction using Pearson Correlation Function and K Nearest Neighbor Algorithm for Telecommunication Industry

Customer churn in telecommunication industry is actually a serious issue. The Telco company needs to have a churn prediction model to prevent their customer from moving to another telco. Therefore, the objective of this paper is to propose the customer churn prediction using Pearson Correlation and K Nearest Neighbor algorithm. The algorithm is validated via training and testing dataset with the ratio 70:30. Based on experiment, the result shows that the K Nearest Neighbor algorithm performs well compared to the others with the accuracy for training is 80.45% and testing 97.78% .
Prediction Models for Licensure Examination Performance using Data Mining Classifiers for Online Test and Decision Support System

– This study focused on two main points: the generation of licensure examination performance prediction models; and the development of a Decision Support System. In this study, data mining classifiers were used to generate the models using WEKA (Waikato Environment for Knowledge Analysis). These models were integrated into the Decision Support System as default models to support decision making as far as appropriate interventions during review sessions are concerned. The system developed mainly involves the repeated generation of MR models for performance prediction and also provides a Mock Board Exam for the reviewees to take. From the models generated, it is established that the General Weighted Average of the reviewees in their General Education subjects, the result of the Mock Board Exam and the instance when the reviewee is conducting a self-review are good predictors of the licensure examination performance. Further