Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of bilateral total salpingectomy versus standard tubal ligation at time of cesarean section on ovarian reserve: A randomized controlled trial

Aim of the work: The objective of this trial was to compare between bilateral total salpingectomy (BTS) as a theoretically more effective ovarian cancer (OvCa) risk-reducing primary prevention and bilateral partial salpingectomy (BPS) [stander tubal ligation (STL)] procedures at time of cesarean section (CS) for parturients who completed their reproductive desire and requesting permanent sterilization regard to the impacts of both procedures on ovarian reserve parameters at one year post-sterilization as well as the surgical consequences of both procedures.Patients and Methods: This is a prospective, randomized, open-label, concealed allocation, parallel group, superiority trial was conducted at three surgical sites in El-Qulobia, Egypt including Benha University Hospital, Obstetrics and Gynecology Department between October 2015 and October 2017. 120 parturients undergoing CS were allocated to BTS (intervention group) (60) and BPS (control group) (60). Main outcomes were one year post-sterilization differences in ovarian reserve (OR) parameters including hormonal as well as two-dimensional and three-dimensional transvaginal ultrasonographic parameters ; namely, anti-mullerian hormone (AMH) (ng/ml), follicular stimulating hormone (FSH) (mIu/ml), peak systolic velocity (PSV) (cm/s), antral follicle count (AFC) (n), vascular index (VI) (%), flow index (FI) (0-100), vascular flow index (VFI) (0-100), calculated ovarian age [OvAge (year)] and ovarian volume. Ancillary outcomes were surgical feasibility and surgical consequences.Results: 102 women completed the one-year follow up (85%), 50 in the BTS group and 52 in the BPS group and there were no statistically significant differences regarding the ovarian reserve parameters at one year post-sterilization including AMH, FSH, AFC, VI, FI, VFI OvAge and ovarian volume (P > 0.05). Also, there were no statistically significant differences regarding items included in surgical. consequences comparison (P > 0.05) as well as surgical sterilization feasibility (100% vs 100%, p = 1). Also, there were no apparent complications due to sterilization procedures in both groups.Conclusion: Impacts of bilateral total salpingectomies (BTS) on ovarian reserve as sterilizing procedure during cesarean section as well as rates of surgical consequences are similar with that of bilateral partial salpingectomies (BPS) (STL). So, BTS could be recommended over BPS (STL) for women completing their reproductive desire, despite its better efficacy as ovarian cancer reducing surgery as well as its better clinical and sterilizing efficacy remained to be elucidated.
OnPLS—a novel multiblock method for the modelling of predictive and orthogonal variation

This paper presents a new multiblock analysis method called OnPLS, a general extension of O2PLS to the multiblock case. The proposed method is equivalent to O2PLS in cases involving only two matrices, but generalises to cases involving more than two matrices without giving preference to any particular matrix: the method is fully symmetric. OnPLS extracts a minimal number of globally predictive components that exhibit maximal covariance and correlation. Furthermore, the method can be used to study orthogonal variation, i.e. local phenomena captured in the data that are specific to individual combinations of matrices or to individual matrices. The method's utility was demonstrated by its application to three synthetic data sets. It was shown that OnPLS affords a reduced number of globally predictive components and increased intercorrelations of scores, and that it greatly facilitates interpretation of the predictive model. Copyright © 2011 John Wiley & Sons, Ltd.
Robotics in intelligent manufacturing: IMPAQT activities

The Center for Intelligent Manufacturing, Processing, and Quality Technologies (IMPAQT) at Drexel University was established to integrate education, research, and technology transfer in technical and business fields which are associated with intelligent manufacturing and processing. A report on some of the Center's ongoing robotics activities is presented. Projects described are: (1) interpretation of redundant kinematic parameters in robotic manipulator calibration algorithms, (2) brushless motors for direct-drive robots and numerically controlled machines, (3) a robot control laboratory, (4) computer-based control and intelligent control systems and (5) a robot dynamics laboratory. <<ETX>>
Direction of arrival estimation using genetic algorithms

This paper presents an application of a genetic algorithm developed for extraction of the directions of arrival of several signals impinging on a linear array. The first part describes the specific genetic algorithm's terms and formulation. The second part presents some illustrative simulation cases where the impact of changes in the receiving antenna structure and the influence of the main genetic algorithm parameters are examined. Results are statistically analyzed in order to conclude on the algorithm's accuracy and reliability.
New 3D imaging sensor: gaining range and texture

This article presents a new type of 3D color digital imaging system. First, we briefly introduce the current 3D imaging technologies: passive and active sensing. Second, a new type of 3D imaging system is introduced. Using this system, the shape of an object can be digitized and the texture of this object surface can also be gained simultaneously. The emphasis of the paper is put on the description of hardware design and software framework design of the system. The paper also presents the 3D digital image made on a human face as an experimental result. Then, the potential industrial applications such as reverse engineering, digitization of museum artifacts, inspection, biomedical imaging, home shopping, film-making and virtual reality, etc., are described. Finally, we make conclusion and future development on 3D imaging.
Decreased estimated blood loss in lateral trans-psoas versus anterior approach to lumbar interbody fusion for degenerative spondylolisthesis.

Background The goal of the current study was to compare the perioperative and post-operative outcomes of eXtreme lateral trans-psoas approach (XLIF) versus anterior lumbar interbody fusion (ALIF) for single level degenerative spondylolisthesis. The ideal approach for degenerative spondylolisthesis remains controversial. Methods Consecutive patients undergoing single level XLIF (n=21) or ALIF (n=54) for L4-5 degenerative spondylolisthesis between 2008-2012 from a single academic center were retrospectively reviewed. Groups were compared for peri-operative data (estimated blood loss, operative time, adjunct procedures or additional implants), radiographic measurements (L1-S1 cobb angle, disc height, fusion grade, subsidence), 30-day complications (infection, DVT/PE, weakness/paresthesia, etc.), and patient reported outcomes (leg and back Numerical Rating Scale, and Oswestry Disability Index). Results Estimated blood loss was significantly lower for XLIF [median 100; interquartile range (IQR), 50-100 mL] than for ALIF (median 250; IQR, 150-400 mL; P<0.001), including after adjusting for significantly higher rates of posterior decompression in the ALIF group. There were no significant differences in rates of complications within 30 days, radiographic outcomes, or in re-operation rates. Both groups experienced significant pain relief post-operatively. Conclusions The lateral trans-psoas approach is associated with diminished blood loss compared to the anterior approach in the treatment of degenerative spondylolisthesis. We were unable to detect differences in radiographic outcomes, complication rates, or patient reported outcomes. Continued efforts to directly compare approaches for specific indications will minimize complications and improve outcomes. Further studies will continue to define indications for lateral versus anterior approach to lumbar spine for degenerative spondylolisthesis.
Vessel wall stress and remodelling at a graft-artery junction

The mechanics of a 45/spl deg/ end-to-side graft-artery junction were modelled numerically and the resulting stress distribution was compared to that found in (i) a normal artery-artery junction and (ii) a graft-artery junction with tissue thickening around the suture-line. The tissue thickening reduced the maximum stress concentration in the graft-artery junction from 1.5 times the maximum artery-artery junction value to 1.2 times that value. These results support the theory that suture-line thickening is part of a remodelling process which attempts to reduce the mechanical stress at the junction to a more physiological level.
Dentists’ Knowledge, Attitudes and Practices Regarding Hepatitis B, C and Human Immunodeficiency Virus / Acquired Immunodeficiency Syndrome In Northeast Part of Rajasthan

Introduction: Healthcare professionals including surgeons, dentists and paramedical personnel’s belong to high risk group of transmitting blood borne pathogens. Keeping this in view a study was proposed to assess the Knowledge, Attitude, and Practices (KAP) of dental professionals towards different viral diseases in northeast part of Rajasthan. Materials and Method: A cross-sectional, descriptive study was conducted among 500 randomly selected dentists in Jaipur district. Questions regarding KAP of hepatitis B (HBV), Hepatitis C (HCV) and Human immunodeficiency virus (HIV) / Acquired immunodeficiency syndrome (AIDS) were included in the questionnaire. Statistical analysis was done through SPSS Ver. 20.0. software using chi-square test, independent t-test and analysis of variance (ANOVA) to evaluate the differences between parameters. Results: The result indicates that the majority of the study subjects (60%) were female. The mean (+Standard Deviation) for age and work experience was 35.5+8.85 and 5.6+8.76 respectively. The mean value of KAP was 38.4+3.23, 21.5+4.34 and 23.05+5.67 respectively. It was observed that knowledge regarding HBV, HCV and HIV/AIDS was statistically significant with work experience (>10 Years; p<0.001), year of graduation (after 2006; p<0.001). Attitude of study subjects for HBV, HCV and HIV/AIDS was significantly inclined by age group (< 30 years: P = 0.011), work experience (≥10 years: P < 0.001), and place of work (dental clinic: P = 0.013). Conclusions: The observations of the study highlighted a reasonable level of knowledge and attitude of dental practitioners for HBV, HCV and HIV/AIDS infections. However there is a need of improvement in the knowledge level which can alter their attitude and practice towards patients with HBV, HCV and HIV/AIDS infections
A VLSI neural network for morphology classification

An architecture for a low-power analog VLSI implementation of a three-layer perceptron is presented. The chip is designed specifically for the classification of signals obtained from the internal surface of the heart. The neural network is composed of synapses which are implemented as multiplying digital to analog converters, and neurons which are high resistance off-chip resistors. A test chip with a (3,3,1) neural network and bucket brigade has been fabricated, and results from this test chip are presented. <<ETX>>
PARAPHRASING CHALLENGES FACED BY MALAYSIAN ESL STUDENTS

This study examined the challenges faced by Malaysian second language (L2) learners when paraphrasing an academic text. Drawing on interviews with two diploma students from two business majors, I explored the types of challenges they faced when attempting paraphrasing tasks. The findings revealed that the students faced multiple challenges that ranged from text comprehension, poor L2 proficiency to referencing problems. In addition, there were significant differences between paraphrasing strategies adopted by a competent student and one with a lower proficiency level. Overall, the findings suggest that there is a need to utilise Content-Based Instruction to make the links between writing skills and learners’ disciplines tangible and that pre-degree preparation needs to include extensive writing practice which would help students become familiar with academic writing demands. Preliminary results also show that there is a need for teachers to be aware that the design of the materials for English language teaching should be tailored to the purpose of university study and academic vocabulary.
Segmentation and feature extraction for magnetic resonance brain image analysis

A segmentation method developed for a system which analyzes magnetic resonance brain images is described. Consideration is also given to how the results of the segmentation method are used to successively identify the brain, suspected lesions, and the interhemispherical fissure, as well as to how these landmarks are used to determine automatically the orientation of a patient brain in 3-D. It is explained how all of the above are used in conjunction with a deformable 3-D model of the relevant brain anatomy to locate lesions in those images. The methods have been tested on more than 1000 images from 17 patients with multiple sclerosis: however, they can also be used in other radiologic tasks. <<ETX>>
Multi-dimensional profiling of elderly at-risk for Alzheimer's disease in a differential framework

The utility of EEG in Alzheimer’s disease (AD) research has been demonstrated over several decades in numerous studies. EEG markers have been employed successfully to investigate AD-related alterations in prodromal AD and AD dementia. Preclinical AD is a recent concept and a novel target for clinical research. This project tackles two issues: first, AD prediction at the preclinical sta ge, by exploiting the multimodal INSIGHT-preAD database, acquired at the Pitie-Salpetriere Hospital; second, an automatic AD diagnosis in a differential framework, by exploiting another large-scale EEG database, acquired at Charles-Foix Hospital. In this project, we will investigate AD predictors at preclinical stage, using EEG data of only subjective Memory Complainers in order to establish a cognitive profiling of elderly at-risk. We will also identify EEG markers for AD detection at early stages in a di fferential diagnosis context. The correlation between EEG markers and clinical biomarkers will be also assessed for a better characterization of the retrieved profiles and a better understanding on the severity of the cognitive disorder. The exploited larg e-scale complementary data offer the opportunity to investigate the full spectrum of the AD neuro-degeneration changes in the brain, using a big data approach and multimodal patient profiling based on resting-state EEG markers
Rai Active News: Integrating Knowledge in Newsrooms

In the modern digital age methodologies for professional Big Data analytics represent a strategic necessity to make information resources available to professional journalists and media producers in a more effective and efficient way and enabling new forms of production like data-driven journalism. The challenge lies in the ability of collecting, connecting and presenting heterogeneous content streams accessible through different sources, such as digital TV, the Internet, social networks and media archives, and published through different media modalities, such as audio, speech, text and video, in an organic and semantics-driven way. Rai Active News is a portal for professional information services that addresses these challenges with a uniform and holistic approach. At the core of the system there is a set of artificial intelligence techniques and advanced statistical tools to automate tasks such as information extraction and multimedia content analysis targeted at discovering semantic links between resources, providing users with text, graphics and video news organized according to their individual interests.
Validation study of susceptibility loci for esophageal squamous cell carcinoma identified by GWAS in a Han Chinese subgroup from Eastern China

Esophageal squamous cell carcinoma (ESCC) occurs at a relatively high frequency in China and is one of the most prevalent cancers in the world. Genome-wide association studies (GWAS) have identified 24 single-nucleotide polymorphisms (SNPs) that could be associated with ESCC in Chinese patients. This retrospective study aimed to validate the association between these 24 SNPs and ESCC in a Han Chinese subgroup from East China. A total of 2280 and 1900 patients with ESCC (case group) and non-esophageal cancer (control group) were included from a single center. Genotyping of the 24 polymorphisms was performed using the Sequenom MassARRAY system. Unconditional logistic regression analyses were conducted for every polymorphism. It was found that rs12188136 (P=0.027, OR=1.158, 95% CI=1.016-1.319 for AG/AA) was associated with ESCC. Binary logistic regression analyses revealed a significant negative association of rs875339 in RORA (P=0.014, OR=0.762, 95% CI=0.613-0.947 for TT/CC). Under the dominant model, rs6854472 was slightly associated with ESCC risk (P=0.048, OR=1.192, 95% CI=1.002-1.418). Under the recessive model, a significant negative association was observed for rs875339 (P=0.010, OR=0.758, 95% CI=0.615-0.935). In a word, this large-scale replication study validated that rs12188136 and rs6854472 are associated with ESCC in a Han Chinese subgroup from Eastern China, and that rs875339 is negative associated with ESCC.
The Origin of Liver Metastatic Adenocarcinomas, a Single Center Experience from the South of Iran

Background: Liverisonethemostcommonsitesof metastasis, andmetastaticlivercancersarethemostcommonlivermalignan-cies. Metastatic adenocarcinomas are the most common metastatic liver cancers, which have diﬀerent origins. The liver biopsy is a very important step to ﬁnd the origin of metastatic cancer by immunohistochemistry. Objectives: In this study, we aimed to ﬁnd the primary origin of metastatic adenocarcinomas in the liver biopsies. Methods: In this study, 210 liver biopsies with the primary diagnosis of metastasis with unknown origin in the liver were investi-gatedfrom2008to2017that126cases(60%)ofwhichhaveprovedtobemetastaticadenocarcinomawithunknownorigin. Histologic studies and immunohistochemical (IHC) stains were performed. Also, a complete endoscopic, radiologic, clinical, and paraclinical studies were carried out besides the liver biopsy to ﬁnd the origin of the adenocarcinoma. Results: Among these 126 liver biopsies, the origin of 94 cases (74.6%) was deﬁnitely determined by IHC and other examinations mentioned above. All eﬀorts for thirty-two cases (25.4%) failed to ﬁnd the primary origin despite a complete examination. Most common primary origins were colon (23.8%), lung (19%), pancreas (13.9%), and breast (11.2%). Conclusions: Performingaliverbiopsyisaveryhelpfulmodalitytoﬁndtheoriginof livermetastaticadenocarcinomabutneedsto becombinedwithotherclinicalﬁndingsanddiagnosticmodalitiestoﬁndtheoriginof metastasistotheliver. Bycombiningthese methods, our study showed that the origin of 74.6% of metastatic liver adenocarcinomas can be found, which is most commonly from colon, lung, and pancreas.
An Evaluation Tool for National‐Level Pandemic Influenza Planning

The historical threat of pandemic influenza and the circulation of novel influenza viruses have led countries to strengthen their efforts in pandemic influenza preparedness planning. A cornerstone of these efforts is the creation of a comprehensive national plan that addresses all of the capacities required to prevent, detect, and respond to novel influenza outbreaks. In 2017 and 2018, the World Health Organization issued updated guidance for national pandemic planning efforts, based on lessons learned from the 2009 influenza A (H1N1) outbreak, the International Health Regulations (World Health Organization, 2005a), and other developments in health security. We have created a tool to assess national‐level plans based on these updated guidelines. This tool will allow for countries to identify both strengths and weaknesses in their national plans, identify capacities and sectors that require improvement, and to help frame the updating or drafting of plans in line with the most updated guidance.
Publishing RDF from Relational Database Based on D2R Improvement

As a key technology to implement Semantic Web, linked data have gradually been an academic and industrial concern. Linked data represents a practice of technologies on the web and linked structure data. The goal of linked data is to enable people to share structured data on the web as easily as they can share documents today. On the Web of data structured with linked data, users can jump from one dataset to another. Compared with the Web of document which enables one to jump from one document to another, data Web provides much more links and has semantics. Mapping relational databases to RDF is a fundamental problem for the development of linked data. This paper firstly makes an improvement with R2RML to open source software named D2R which can publish linked data, and then takes an example of the data concerning a college enrollment in Sichuan of China in 2011, demonstrating that we can publish the data in RDB into RDF as linked data through the new approach more efficient and make it browsable.
Identifying and Treating of Uterine Infection in Cows of Basrah city

Abstract: The present study was conducted from December 2015 to February 2017 on a local breeds and Holstein Friesian with 88 cows (age 4-12). Metritis was diagnosed by clinical examinations using gloved hand and rectal uterine palpation as well as by bacteriological examinations using swabs. Antibiotic therapy was applied for the treatment of metritis in cow followed by one injection of luteinizing hormone. Examined cows were randomly divided into five groups. In group A (n=15), administration of oxytetracycline was used for one day. Group B (n = 18), received lugols iodine for one day. Group C (n = 22), received penicillin with streptomaycin for one day. Group D (n=7) received intramuscular administration of gentamycin for one day. Finally, group E (n=26) received safapirin for one day . All treatment followed by one injection of luteinizing hormone. Different type of bacteria was isolated from the cow uterus including Escherichia coli (40%), Proteus vulgaris (13.63%), Corynebacterium pyogenes (6.81%), Staphylococcus pyogenes (20.45%), Pseudomonas aeruginosa (5.68%), and Streptococcus spp. (7.95%). E. coli was frequently isolated from the cow uterus (40%). Safapirin and penicillin-streptomaycin were the most effective in treating metritis as they represented 84.61% and 81.81%, respectively. Lugols iodine and oxytetracycline, were also considerably effective in treating metritis as they represented 61.11% and 60.00%, whereas gentamycin intramuscularly accounted about 28.57%.
QoS-ASR: an adaptive source routing protocol with QoS support in multihop mobile wireless networks

We focus on one critical issue in mobile ad hoc networks (MANETs) that is quality-of-service (QoS) routing. MANETs are formed by an autonomous collection of mobile nodes constructing dynamic networks and communicating over wireless links. In this context, we propose a novel routing protocol named QoS adaptive source routing protocol (QoS-ASR). It is an adaptive soft-QoS protocol with aggregate flows. It applies the source routing mechanism defined by the dynamic source routing (DSR) unicast protocol to avoid channel overhead and to improve scalability. QoS-ASR handles QoS criteria taking into account application requirements (link transmission delay, available bandwidth, packet loss rate) combined with network state related constraints (battery life, link stability, node congestion state). The performance of the proposed scheme is evaluated via simulations and is compared to DSR.