Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficacy of 18F-FDG and 18F-NaF PET/CT imaging: A novel semi-quantitative assessment of the effects of age and obesity on hip joint inflammation and bone degeneration.

OBJECTIVE Osteoarthritis (OA) is characterized by synovial tissue inflammation and underlying bone degeneration in the joints. Aging and obesity are among the major risk factors. This study evaluated the effects of aging and body mass index (BMI) on hip joint inflammation and bone degeneration using fluorine-18-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) and fluorine-18 sodium fluoride (18F-NaF) PET/CT imaging, respectively. SUBJECTS AND METHODS In this retrospective study, a total of 116 subjects (58 males and 58 females) who had undergone both 18F-FDG and 18F-NaF PET/CT imaging were analyzed. The mean age of these subjects was 48.6±14.5 with an age range of 21-75 years. Fluorine-18-FDG and 18F-NaF PET/CT imaging was conducted 180min and 90min (respectively) after intravenous administration of the appropriate tracer. The hip joint was segmented on fused PET/CT images using OsiriX MD v.9. 5 (DICOM viewer and image-analysis program, Pixmeo SARL; Bernex, Switzerland). The region of interest (ROI) for the hip joint was indicated by using a 3D-growing region algorithm with upper/lower Hounsfield Units (HU) followed by a morphological closing algorithm. The metabolic activity for the left and right side of the joint was measured and correlated with age and BMI. RESULTS Fluorine-18-FDG uptake in the hip was 0.83±0.22 (right side: 0.83±0.23, left side: 0.83±0.22, P=0.82). Fluorine-18-NaF uptake in the hip was 3.20±1.07 (right side: 3.25±1.14, left side: 3.15±1.04, P=0.02). Body mass index positively correlated with both 18F-FDG (r=0.29, P=0.001) and NaF (r=0.26, P=0.005) uptake. No significant correlation was seen between age and either 18F-FDG (r=0.12, P=0.19) or 18F-NaF (r=0.03, P=0.78) uptake. CONCLUSION Body mass index had a significant impact on 18F-FDG and 18F-NaF uptake, whereas age had no correlation with either tracer uptake. Obesity increases the mechanical forces applied on weight-bearing joints such as the hip. Body mass index was related to increased joint inflammation and bone degeneration. These findings further support the studies explaining the role of adipose tissue in promoting OA.
Mutated EPHA2 is a target for combating lymphatic metastasis in intrahepatic cholangiocarcinoma

Exploring the genetic aberrations favoring metastasis is important for understanding and developing novel strategies to combat cancer metastasis. It remains lack of effective treatment for the dismal prognosis of intrahepatic cholangiocarcinoma (ICC). Here, we aimed to study genetic alternations during lymph node metastasis of ICC and investigate potential mechanisms and clinical strategy focused on mutations. We performed whole‐exome sequencing and transcriptome sequencing on samples from 30 ICC patients, including lymph node metastases from five of the patients. We identified the alterations of genetic pattern related to lymph node metastases of ICC. EPHA2, a member of the tyrosine kinase family, was found to be frequently mutated in ICC. Correlation analysis indicated that EPHA2 mutations were closely associated with lymph node metastasis of ICC. In vitro and in vivo experiments revealed that EPHA2 mutations could lead to ligand independent phosphorylation of Ser897, and promote lymphatic metastasis of ICC, in which NOTCH1 signaling pathway played an important role. In both in vitro assays and patient‐derived xenografts, an inhibitor of Ser897 phosphorylation effectively suppressed the metastasis of ICC with mutated EPHA2. Our findings demonstrated that EPHA2 mutants may be an attractive therapeutic target for lymphatic metastasis of ICC.
Systematics aware learning : a case study in high energy physics

Experimental science often has to cope with systematic errors that coherently bias data. We analyze this issue on the analysis of data produced by experiments of the Large Hadron Collider at CERN as a case of supervised domain adaptation. Systematics-aware learning should create an efficient representation that is insensitive to perturbations induced by the systematic effects. We present an experimental comparison of the adversarial knowledge-free approach and a less data-intensive alternative.
Physics-based motion capture imitation with deep reinforcement learning

We introduce a deep reinforcement learning method that learns to control articulated humanoid bodies to imitate given target motions closely when simulated in a physics simulator. The target motion, which may not have been seen by the agent and can be noisy, is supplied at runtime. Our method can recover balance from moderate external disturbances and keep imitating the target motion. When subjected to large disturbances that cause the humanoid to fall down, our method can control the character to get up and recover to track the motion. Our method is trained to imitate the mocap clips from the CMU motion capture database and a number of other publicly available databases. We use a state-of-the-art deep reinforcement learning algorithm to learn to dynamically control the gain of PD controllers, whose target angles are derived from the mocap clip and to apply corrective torques with the goal of imitating the provided motion clip as closely as possible. Both the simulation and the learning algorithms are parallelized and run on the GPU. We demonstrate that the proposed method can control the character to imitate a wide variety of motions such as running, walking, dancing, jumping, kicking, punching, standing up, and so on.
Modification and optimization of the FECPAKG2 protocol for the detection and quantification of soil-transmitted helminth eggs in human stool

Background Standard diagnosis of human soil-transmitted helminth (STH) infections is based on the microscopic detection of helminth eggs in stool and supports programmatic decision making in control programs. However, the current standard diagnostic techniques still show a number of limitations. Recently, the FECPAKG2 method was developed to detect helminth infections and asses drug efficacy in sheep or cattle. It includes a device that takes digital images of helminth eggs that have been concentrated into one microscopic field of view and stores these images online for future evaluation. The goal of this study was to introduce a standard operating procedure (SOP) for the detection and quantification of human STH eggs using the FECPAKG2 and to optimize 2 crucial steps of the protocol, namely the sedimentation step (aimed at separating sinking eggs from floating debris) and the accumulation step (aimed at concentrating the eggs by flotation). Methodology/Principal findings A total of 55 stool samples from naturally infected children were used from 4 different geographical areas (Ethiopia, Laos, Tanzania and Brazil). The results showed that Trichuris eggs generally moved slower than eggs of the other two STH species during both sedimentation in water in the FECPAKG2 sedimenter as during accumulation in flotation solution in the FECPAKG2 cassettes. The highest number of eggs were present in the slurry of the sedimenter after overnight sedimentation (Ascaris: 95.7%, Trichuris: 89.8% and hookworm: 94.2% of the eggs). A minimum of 24 minutes were needed to ensure the accumulation of at least 80% of the eggs from all three STH species in the FECPAKG2 cassette (Ascaris: 96.1%; Trichuris: 88.2% and hookworm: 87.6%). Conclusions/Significance This study introduces for the first time a SOP for the FECPAKG2 method. Different aspects of the method for diagnosing human STH infections were optimized. Our study forms the basis for a thorough and objective evaluation of the system as a diagnostic tool that could be implemented in STH control programs.
Blocking the proteolytic activity of zymogen matriptase with antibody-based inhibitors

Matriptase is a member of the type-II transmembrane serine protease (TTSP) family and plays a crucial role in the development and maintenance of epithelial tissues. As all chymotrypsin-like serine proteases, matriptase is synthesized as a zymogen (proform), requiring a cleavage event for full activity. Recent studies suggest that the zymogen of matriptase possesses enough catalytic activity to not only facilitate autoactivation, but also carry out its in vivo functions, which include activating several proteolytic and signaling cascades. Inhibition of zymogen matriptase may therefore be a highly effective approach for limiting matriptase activity. To this end, here we sought to characterize the catalytic activity of human zymogen matriptase and to develop mAb inhibitors against this enzyme form. Using a mutated variant of matriptase in which the serine protease domain is locked in the zymogen conformation, we confirmed that the zymogen form of human matriptase has catalytic activity. Moreover, the crystal structure of the catalytic domain of zymogen matriptase was solved to 2.5 Å resolution to characterize specific antibody-based matriptase inhibitors and to further structure-based studies. Finally, we describe the first antibody-based competitive inhibitors that target both the zymogen and activated forms of matriptase. We propose that these antibodies provide a more efficient way to regulate matriptase activity by targeting the protease both before and after its activation and may be of value for both research and preclinical applications.
Standing working posture and musculoskeletal pain among Citrus sinensis workers in a low-income country

Background. Work-related musculoskeletal pain (WRMP) among Citrus sinensis farm workers has barely been studied. Yet most work tasks in such farms are manually performed using awkward standing postures that can contribute to WRMP. Aim. This study assessed the standing working posture in relation to WRMP among C. sinensis workers. Methods. Ninety-two workers engaged in manual tasks participated in this cross-sectional study. Postures at the upper limbs were analysed using the rapid upper limb assessment (RULA) method. Data were analysed using SPSS version 20. Results. Analyses generally showed statistically significant associations (p < 0.05) between a body part RULA score and WRMP at the concerned body part. The upper arm score was >1 in 77.2% of the workers and caused upper arm pain in 66.3%; the association between the upper score and upper pain was statistically significant (χ 2 = 20.57; p < 0.05). Similarly, significant associations were found between: (a) wrist score and wrist pain; (b) neck score and neck pain; (c) trunk score and back pain. Conclusions. C. sinensis workers use unsafe postures which contribute to WRMP at the upper arm, trunk, neck and wrists. Ergonomics measures are required to improve their working posture.
Learning implicit recommenders from massive unobserved feedback

In this thesis we investigate implicit feedback techniques for real-world recommender systems. However, learning a recommender system from implicit feedback is very challenging, primarily due to the lack of negative feedback. While a common strategy is to treat the unobserved feedback (i.e., missing data) as a source of negative signal, the technical difficulties cannot be overlooked: (1) the ratio of positive to negative feedback in practice is highly imbalanced, and (2) learning through all unobserved feedback (which easily scales to billion level or higher) is computationally expensive. To effectively and efficiently learn recommender models from implicit feedback, two types of methods are presented, that is, negative sampling based stochastic gradient descent (NS-SGD) and whole sample based batch gradient descent (WS-BGD). Regarding the NS-SGD method, how to effectively sample informative negative examples to improve recommendation algorithms is investigated. More specifically, three learning models called Lambda Factorization Machines (lambdaFM), Boosting Factorization Machines (BoostFM) and Geographical Bayesian Personalized Ranking (GeoBPR) are described. While regarding the WS-BGD method, how to efficiently use all unobserved implicit feedback data rather than resorting to negative sampling is studied. A fast BGD learning algorithm is proposed, which can be applied to both basic collaborative filtering and content/context-aware recommendation settings. The last research work is on the session-based item recommendation, which is also an implicit feedback scenario. However, different from above four works based on shallow embedding models, we apply deep learning based sequence-to-sequence model to directly generate the probability distribution of next item. The proposed generative model can be applied to various sequential recommendation scenarios. To support the main arguments, extensive experiments are carried out based on real-world recommendation datasets. The proposed recommendation algorithms have achieved significant improvements in contrast with strong benchmark models. Moreover, these models can also serve as generic solutions and solid baselines for future implicit recommendation problems.
Understanding how older age drives decision‐making and outcome in Immune Thrombocytopenia. A single centre study on 465 adult patients

We analysed the impact of older age on the management of immune thrombocytopenia (ITP) in 465 adult patients diagnosed between 1995 and 2017 and followed at our institution for a minimum of 12 months. Over a follow‐up of 4248 patient‐years, front‐line corticosteroids therapy was required in 334 patients (71·8%), mainly (85·3%) within 1 year from diagnosis. Need for first‐, second‐ and third‐line therapy was comparable in younger and older (age ≥65 years, n = 154) patients. Older patients presented more frequently with severe haemorrhages, started therapy with a higher platelet count and received lower dose front‐line corticosteroids; thereafter, they were preferentially treated with mild immunosuppressive therapies/thrombopoietin‐receptor agonists. Conversely, younger patients were more frequently treated with rituximab and splenectomy, achieving higher rates of complete responses. Incidence rates of ≥grade 2 complications were: 2·87 (haemorrhages), 1·55 (infections) and 0·66 (thromboses) per 100 patient‐years. Older age (P = 0·01) and active haemorrhages at diagnosis (P = 0·01) significantly predicted grade ≥2 haemorrhages during follow‐up. Older age (P = 0·01), male gender (P = 0·01), and thrombopoietin receptor agonist use (P = 0·02) were significantly associated with a higher probability of thrombosis over time. Older age is a significant driver of diagnostic/therapeutic strategy in ITP resulting in different responses and complications rates.
Apolipoprotein A‐Ib as a biomarker of focal segmental glomerulosclerosis recurrence after kidney transplantation: diagnostic performance and assessment of its prognostic value – a multi‐centre cohort study

Recurrence of idiopathic focal segmental glomerulosclerosis (FSGS) is a serious complication after kidney transplantation. FSGS relapse is suspected by a sudden increase in proteinuria but there is not an accurate noninvasive diagnostic tool to confirm this entity or to detect patients at risk. We aimed to validate the diagnostic performance of ApoA‐Ib to detect FSGS relapses by measuring urinary ApoA‐Ib in a retrospective cohort of 61 kidney transplanted patients (37 FSGS and 24 non‐FSGS). In addition, to assess the ApoA‐Ib predictive ability, ApoA‐Ib was measured periodically in a prospective cohort of 13 idiopathic FSGS patients who were followed during 1 year after transplantation. ApoA‐Ib had a sensitivity of 93.3% and a specificity of 90.9% to diagnose FSGS relapses, with a high negative predictive value (95.2%), confirming our previous results. In the prospective cohort, ApoA‐Ib predated the recurrence in four of five episodes observed. In the nonrelapsing group (n = 9), ApoA‐Ib was negative in 37 of 38 samples. ApoA‐Ib has the potential to be a good diagnostic biomarker of FSGS relapses, providing a confident criterion to exclude false positives even in the presence of high proteinuria. It has also the potential to detect patients at risk of relapse, even before transplantation.
Sosyal Duygusal Öğrenme Çerçevesinde Öz Düzenleme Yabancı Dil Öğrenme Ölçeğinin

Sayisi her gecen gun biraz daha artan arastirmalar, yabanci dil ogreniminde oz-duzenlemenin onemini vurgulamaktadir (Dornyei, 2005; Oxford, 2011; Chamot, 2014). Bu arastirmalar dogrultusunda, arastirmacilar, ogrencilerin dil ogrenimindeki zorluklarla basa cikmalarina yardimci olmak icin cok sayida arac gelistirmislerdir. Ancak, bu araclar genellikle sosyal ve duygusal ogrenme cercevesinde degil, dil ogrenme stratejileri cercevesinde tasarlanmistir. Bu acidan bakildiginda, bu calisma, universite ogrencilerinin yabanci dil ogrenirken, sosyal ve duygusal ogrenme cercevesinde oz-duzenleme yetkinliklerini belirlemek icin uygun bir arac gelistirerek bu boslugu doldurmaya calismaktadir. Ayrica, cinsiyetin dil ogrenenlerinin oz-duzenleme yetkinlikleri uzerindeki etkileri de yapisal esitlik modeli kullanilarak incelenmistir. Olceklerin faktor yapisi ve ic tutarliligiyla ilgili veriler uc farkli zamanda toplam olarak da bir universitenin 1439 hazirlik okulu ogrencisine uygulanarak toplanmistir. OzDuzenleme Yabanci Dil Ogrenme Olceginin (SRFLLS) temel bilesen analizi, sekiz faktorlu bir yapi ortaya koymustur: Guclu Yonlerin ve Duygularin Taninmasi, Oz-yeterlilik, Duygusal Bedeller, OzMotivasyon, Oz Disiplin, Hedef Belirleme, Yardim Arama ve Merak. Cevaplarin dogrulayici faktor analizlerine gore ise, model uyum degerlerinin kabul edilebilir oldugu ve cinsiyete bagli olarak dil ogrenenlerin Oz-disiplin, Yardim Arama ve Merak yeterliliklerinde anlamli bir farklilik oldugu gozlemlenmistir. Calisma sinirlamalari ve gelecekteki arastirmalar icin aciklamalar ele alinmistir.
Poor sleep in concurrent users of alcohol, khat, and tobacco smoking in community-dwelling Ethiopian adults

BACKGROUND: Polysubstance dependence, stress, and sleep disturbances are inter-related by shared physiological pathways. No study has investigated the relationship between sleep and concurrent use of alcohol and khat. OBJECTIVES: The aim of the study was to assess the effect of the concurrent use of alcohol and khat as well as concurrent alcohol, khat, and tobacco smoking on sleep patterns. METHODS: A sample of community-dwelling adults (n = 339, age = 25.5 ± 5.7 years, body mass index = 22.0 ± 2.2 kg/m2) from Mizan-Aman, Ethiopia, participated in a cross-sectional study. Semi-structured tool for sociodemographics, substance use habit, and the Pittsburgh Sleep Quality Index (PSQI) were used. The difference in sleep patterns among substance use groups, i.e., nonusers, alcohol use only, concurrent alcohol and khat use, and concurrent alcohol, khat and tobacco smoking was assessed. RESULTS: The poorest sleep quality was found among concurrent users of alcohol, khat, and tobacco smoking (PSQI global score = 8.2 ± 2.4), followed by concurrent users of alcohol and khat (PSQI global score = 7.3 ± 2.9) (F (3.335) = 23.64, P < 0.001). There were significant differences in the PSQI component score of sleep quality χ2(3) =159.09, P < 0.001, the PSQI component score of sleep latency χ2(3) = 128.09, P < 0.001, and the PSQI component score of sleep disturbances χ2(3) = 37.69, P < 0.001 between substance use groups. CONCLUSION: Concurrent use of alcohol, khat as well as alcohol, khat, and tobacco smoking was associated with poor sleep. Sleep disturbances in this group need management to avoid the prospective development of psychosocial disturbances in polysubstance users.
A Centralized SDN Architecture for the 5G Cellular Network

In order to meet the increasing demands of high data rate and low latency cellular broadband applications, plans are underway to roll out the Fifth Generation (5G) cellular wireless system by the year 2020. This paper proposes a novel method for adapting the Third Generation Partnership Project (3GPP)’s 5G architecture to the principles of Software Defined Networking (SDN). It relocates the control functionality present in the 5G Radio Access Network (RAN) to the network core, resulting in the conversion of the base station known as the gNB into a pure data plane node. This brings about a significant reduction in signaling costs between the RAN and the core network. It also results in improved system performance. The merits of our proposal have been illustrated by evaluating the Key Performance Indicators (KPIs) of the 5G network, such as network attach (registration) time and handover time. We have also demonstrated improvements in attach time and system throughput due to the use of centralized algorithms for mobility management with the help of ns-3 simulations.
Preventive Inhalation of Hypertonic Saline in Infants with Cystic Fibrosis (PRESIS). A Randomized, Double-Blind, Controlled Study.

Rationale: Cystic fibrosis (CF) lung disease starts in early infancy, suggesting that preventive treatment may be most beneficial. Lung clearance index (LCI) and chest magnetic resonance imaging (MRI) have emerged as promising endpoints of early CF lung disease; however, randomized controlled trials testing the safety and efficacy of preventive therapies in infants with CF are lacking. Objectives: To determine the feasibility, safety, and efficacy of preventive inhalation with hypertonic saline (HS) compared with isotonic saline (IS) in infants with CF, including LCI and MRI as outcome measures. Methods: In this randomized, double-blind, controlled trial, 42 infants with CF less than 4 months of age were randomized across five sites to twice-daily inhalation of 6% HS (n = 21) or 0.9% IS (n = 21) for 52 weeks. Measurements and Main Results: Inhalation of HS and IS was generally well tolerated by infants with CF, and the number of adverse events did not differ between groups (P = 0.49). The change in LCI from baseline to Week 52 was larger in infants with CF treated with HS (-0.6) than in those treated with IS (-0.1; P < 0.05). In addition, weight gain was improved in infants with CF treated with HS (P < 0.05), whereas pulmonary exacerbations and chest MRI scores did not differ in the HS group versus the IS group. Conclusions: Preventive inhalation with HS initiated in the first months of life was safe and well tolerated and resulted in improvements in LCI and weight gain in infants with CF. Our results support the feasibility of LCI as an endpoint in randomized controlled trials in infants with CF. Clinical trial registered with www.clinicaltrials. gov (NCT01619657).