Miracle-dz/UniFAR-FTUs huggingface dataset:
Mechanism associated with aberrant lncRNA MEG3 expression in gestational diabetes mellitus

Gestational diabetes mellitus (GDM) is a common metabolic condition during pregnancy. Long non-coding RNAs (lncRNAs) have been found to seve critical roles in GDM development; however, the role of lncRNA maternally expressed gene 3 (MEG3) in GDM remains unclear. Therefore, the aim of the present study was to investigate the expression and role of MEG3 in GDM, and to further explore the underlying mechanism. The levels of lncRNA MEG3 in the blood and placental villous tissues of pregnant women with GDM was measured using reverse transcription-quantitative PCR. Bioinformatics analysis and dual luciferase reporter assays were performed to investigate the association between lncRNA MEG3 and microRNA (miR)-345-3p. Transfection was subsequently performed on HTR-8/SVneo cells, a human chorionic trophoblast cell line, to assess the role of lncRNA MEG3 in GDM. In particular, cell viability, cellular migratory/invasive ability and cell apoptosis were analyzed using MTT assay, Transwell assay and flow cytometry, respectively. Compared with pregnant women without GDM, lncRNA MEG3 levels were significantly elevated in the blood and placental villous tissues of GDM pregnant women. miR-345-3p was identified to be a direct target of lncRNA MEG3 using dual luciferase reporter assay, which was found to be reduced in pregnant women with GDM. Further analysis demonstrated that lncRNA MEG3 overexpression significantly inhibited HTR-8/SVneo cell viability, and prevented cell migration and invasion in addition to inducing cell apoptosis. In contrast, lncRNA MEG3 knockdown significantly enhanced HTR-8/SVneo cell viability, promoted cell migration/invasion and reduced cell apoptosis. Inhibiting miR-345-3p expression negated all the observed physiological effects of lncRNA MEG3 knockdown on HTR-8/SVneo cells. In conclusion, lncRNA MEG3 levels were abnormally upregulated in GDM, which participated in the development and progression of GDM by regulating human chorionic trophoblast cell physiology. Therefore, lncRNA MEG3 may be a potential diagnostic and therapeutic target for GDM.
Cryotherapy of Genital Warts

Introduction: Genital warts are a frequent form of sexually transmitted disease. Cryotherapy represents the first line of therapy. Healing occurs in 94%, and recurrence in 10% . Side effects are common during the treatment. Aim: The aim of this study is to determine the successfulness of cryotherapy of genital warts, frequency of recurrence, and side effects. Patients and methods: In a retrospective study, data from 50 women with genital warts who were treated in the Gynecological Centre “Dr Mahira Jahić” in Tuzla in a period from 2012–2018 were analyzed. Every woman was treated with cryotherapy. Treatments were repeated every 7 days, maximal number of treatments being 7. In processing of data, X2statistical method was used. Results: 50% (N-25) of genital warts eliminated after 3 treatments with cryotherapy . Genital warts are eliminated in 78% (N-39) of women, while this treatment was unsuccessful in 18% (N-9). Recurrence after 3 months in 4% (N-2). Most common side effect was exudation in 78% (N-39), swelling in 72% (N-36) and pain in 66% (N-33). PAP smears in women with genital warts in 64% (N-34) of cases were inflammatory benign changes, while in 36% (N-18) mild abnormal changes in cells ASCUS and LSIL were found. LSIL lesions of cervix are more common (p<0,01) in women with genital warts of vulva. Conclusion: Cryotherapy is a method with a high success rate in healing of genital warts, and it decreases the concentration of HPV virus and removes the trigger that allows the development of cancer.
Histoprotective Effect of Essential Oil from Citrus aurantifolia in Testosterone-Induced Benign Prostatic Hyperplasia Rat

Background Benign prostatic hyperplasia (BPH) is a common urological disorder reported among ageing men. Objective The study assessed histoprotective effect of lime essential oil (LEO) in a rat model of testosterone-induced benign prostatic hyperplasia (BPH) and evaluated its ability to reverse testosterone-mediated changes in the testis, kidney, and liver. Materials and Methods Adult Sprague Dawley (aged 12 weeks, 240–390 g) male rats were intramuscularly injected with testosterone enanthate (TE) (10 mg/kg) reconstituted in olive oil for ten days to establish benign prostatic hyperplasia (serum PSA level ≥ 1.24 ng/ml) in. After confirmation of BPH (sustained serum PSA level ≥ 1.24 ng/ml), rats in all groups (LEO: 30, 100, and 300 mg/kg, po, n = 6; finasteride: 15 mg/kg, po, n = 6) except model (BPH without treatment) and sham (no BPH and no treatment) groups were treated for 21 days. At the end of treatment, rats were anesthetised and blood was collected via cardiac puncture to determine serum PSA and total antioxidant capacity (TAC) levels. The prostate gland, testis, kidney, and liver were harvested, weighed, histologically processed and stained with H&E. Results LEO- and finasteride-treated groups recorded lesser mean prostatic weights relative to their model group. Baseline mean serum PSA level of LEO- and finasteride-treated groups reduced significantly (p < 0.05) relative to model group. Serum TAC levels were also higher in LEO- and finasteride-treated groups relative to model group. LEO-treated groups had less thickened glandular epithelium, smaller acini, fewer prostatic secretions and more fibromuscular stroma relative to model group. LEO and finasteride treatment produced improved histomorphological characteristics of testis, kidney, and liver compared to model group. Conclusion By the current results, Citrus aurantifolia LEO may possess active agents that can be explored for translational medicine against BPH.
STREAM: Stress and Thermal Aware Reliability Management for 3-D ICs

Accurate and fast reliability management is important for 3-D integrated circuits (3-D ICs) because of the severe on-chip thermal and reliability problems. However, due to the lack of stress information and difficulties in implementing management method for reliability, existing full-chip reliability management methods suffer from low management accuracy and high system performance degradation. In this paper, we propose a new stress and thermal aware reliability management method for 3-D ICs called STREAM. Unlike traditional methods which do not perform explicit stress analysis due to the large computing cost, STREAM employs an artificial neural network-based stress model to estimate stress accurately at runtime. In order to further improve the reliability management accuracy and improve the system performance, a lifetime estimator with lifetime banking technology and a specially designed lifetime model predictive control are integrated into the reliability management framework. Our numerical results show that STREAM performs the stress and thermal aware full-chip reliability management with both high accuracy and speed. It is able to boost the performance of 3-D ICs and outperforms the state-of-the-art 3-D IC reliability management method.
Digital Competencies and Attitudes Toward Digital Adherence Solutions Among Elderly Patients Treated With Novel Anticoagulants: Qualitative Study

Background Nonadherence to medication is a driver of morbidity and mortality, and complex medication regimens in patients with chronic diseases foster the problem. Digital technology might help, but despite numerous solutions being developed, none are currently widely used, and acceptance rates remain low, especially among the elderly. Objective This study aimed to better understand and operationalize how new digital solutions can be evaluated. Particularly, the goal was to identify factors that help digital approaches targeting adherence to become more widely accepted. Methods A qualitative study using a conceptual grounded theory approach was conducted. We included patients aged 65 years and older who routinely took new oral anticoagulants. To generate theses about the digital competencies of the target group with daily medication intake, face-to-face interviews were conducted, recorded, and anonymized. After coding the interviews, categories were generated, discussed, and combined with several theses until saturation of the statements was reached. Results The methodological approach led to the finding that after interviews in 20 of 77 potentially available patients, a saturation of statements was reached. The average patient’s age was 75 years, and 50% (10/20) of the subjects were female. The data identified five main coding categories—Diseases and medicine, Technology, Autonomy, Patient narrative, and Attitude toward technologies—each including positive and negative subcategories. Main categories and subcategories were summarized as Adherence Radar, which can be considered as a framework to assess the potential of adherence solutions in the process of prototyping and can be applied to all adherence tools in a holistic manner. Conclusions The Adherence Radar can be used to increase the acceptance rate of digital solutions targeting adherence. For a patient-centric design, an app should be adapted to the individual patient’s needs. According to our results, this application should be based on gender and educational background as well as the individual physician-patient relationship. If used in a proper, individualized manner, digital adherence solutions could become a new cornerstone for the treatment of chronically ill individuals.
Emotional State According to Breakfast Consumption in 62276 South Korean Adolescents

Objectives: Adolescents frequently skip breakfast for a variety of reasons. We investigated associations between lifestyle, emotional state, and breakfast consumption in adolescents. Methods: Data from 62276 adolescents were derived from the 13th Korean Youth Risk Behavior Web-based Survey (KYRBS), conducting from June 1, 2017 to June 30. The adolescents were drawn by stratified multistage clustered samples from 400 middle schools and 400 high schools. Breakfast skipper was defined as those who ate breakfast less than 2 days per week. Results: Among 62276 participants, 19658 (31.5%) were breakfast skippers. Compared to those who were steady eaters, those who skipped breakfast were younger and shorter, had a poorer academic performance, poorer parent education status, and lower family economic status. Compared to steady eaters, those who skipped breakfast regularly also tended to be more overweight and obese, participate in exercise less frequently, and report increased stress, depressive mood, suicidal ideation, and suicide attempts. Skipping breakfast was also associated with increased levels of smoking and alcohol consumption compared to steady eaters. Conclusions: Skipping breakfast is associated with an adverse effect on adolescent health and well-being, especially in regard to suicide attempts. Public and parental education on the benefits of eating breakfast in adolescents is recommended.
Baseball and biomechanics: Injury prevention for baseball pitcher

Pitching was the fastest motion in baseball. Upper extremity has important roles especially in shoulder, elbow, wrist, and fingers. The purpose of this study was to integrate the information in a resume of biomechanical pitching and baseball pitcher’s injuries. The data base used refers to PubMed, SAGE, and Elsevier and several relevance journals related to baseball and injuries. Source refers to the data since December 2017 to the oldest 2000 to get data source in baseball pitcher injuries. Upper arm has the prominent role when pitching to get maximum motion and joints stabilize. Rotator cuff muscle generate rotation in the shoulder while pitching and control shoulder joints in the lower arm’s muscles and joints. Baseball pitcher has a special skill in the strength, speed, and endurance. They had to keep their performance to avoid from injury especially shoulder and elbow injuries. Biomechanical analysis can help to evaluated performance in monitoring dan give recommendation to elevate skills and prevent injury. Knowledge and understanding about basic of pitching have to mastering before elevate to the next level. Further study can focus on the time for the pitcher to improve the skills and maximizing the pitch type to avoid from injuries.
Context Verification and Adaptation in Web Service Composition

Automatic web-service composition aims at automating the design of an appropriate combination of existing web services to achieve a global goal. Most proposed AWSC approaches only consider input/output parameters and quality features of services. However, most real-world web services have applicable conditions and require constraints to be considered according to the execution context of composite services. Constraint verification has a significant impact on the composition and execution of composite services. In particular, runtime verification of service constraints can result in the failure of the execution of composite services and eventually waste computational resources and may incur monetary costs. In addition, traditional adaptation approaches for web service composition consider recovery in case of failure when a service becomes unavailable. They do not take into account changes and limitations in service execution environment which potentially can affect the execution of a wide range of services. Externally-defined constraints are likely to be defined and become or cease to be applicable after the composite service has been deployed. In this thesis, we propose a novel approach to model and verify different types of constraints inside composite services. We not only consider input/output parameters but also the values that can be assigned to parameters during design and execution of composite services. In addition, we provide novel failure recovery and adaptation approaches for different types of constraints according to the execution context of composite services. In our solution, we develop a new structure including alternative composite services to recover broken composite services and adapt to external constraints. We finally propose a brokerage architecture including all proposed approaches for constraint-aware service composition and adaptation.
TEI goes on: Tangible and Embedded Interaction.

TEI 07 was the first conference with “tangible” in its title, motivated by the field’s growth over the past decade. One of this research area’s most fascinating features is the range of perspectives and disciplines, including HCI, the arts, design, technology, and architecture. The TEI 07 call invited a multi- and interdisciplinary community to submit contributions from their specific viewpoints and approaches. TEI 07 thus brought together artists who employ tangible media with computer engineers developing toolkits, physicalappliance designers with researchers conducting user studies, and researchers exploring novel interface technologies with interaction designers who develop mixed-media systems.
Cache‐aware design of general‐purpose Single‐Producer–Single‐Consumer queues

Data processing pipelines normally use lockless Single‐Producer–Single‐Consumer (SPSC) queues to efficiently decouple their processing threads and achieve high throughput, minimizing the cost of synchronization. SPSC queues have been widely studied, mostly for applications such as streaming data or network monitoring, where the main goal is maximizing throughput. There are now many applications, such as virtual‐machine–virtual‐machine communication, software‐defined networking, and message‐based kernels, where low latency is also important, and the tradeoffs between high‐throughput and low‐latency algorithms have not been studied equally well. Furthermore, at high or variable transaction rates, the effect of memory hierarchies and cache coherence subsystems may be dominant and yield surprising results. In this paper, we make two contributions. First, we provide a comprehensive study of the two main families of SPSC queues, namely, “Lamport” and “FastForward” queues, with a detailed analytical and experimental characterization of their behavior in terms of operating regimes, throughput, latency, and cache misses. Second, we propose two new queue variants, namely, improved FastForward and batched improved FastForward, which have better worst‐case behavior than other variants in terms of cache misses, which is an important feature for a number of applications. Together, these two contributions provide practical guidelines to choose the best solution depending on the application requirements.
Data-Driven Image Restoration

Every day many images are taken by digital cameras, and people are demanding visually accurate and pleasing result. Noise and blur degrade images captured by modern cameras, and high-level vision tasks (such as segmentation, recognition, and tracking) require high-quality images. Therefore, image restoration specifically, image deblurring and image denoising is a critical preprocessing step. A fundamental problem in image deblurring is to recover reliably distinct spatial frequencies that have been suppressed by the blur kernel. Existing image deblurring techniques often rely on generic image priors that only help recover part of the frequency spectrum, such as the frequencies near the high-end. To this end, we pose the following specific questions: (i) Does class-specific information offer an advantage over existing generic priors for image quality restoration? (ii) If a class-specific prior exists, how should it be encoded into a deblurring framework to recover attenuated image frequencies? Throughout this work, we devise a class-specific prior based on the band-pass filter responses and incorporate it into a deblurring strategy. Specifically, we show that the subspace of band-pass filtered images and their intensity distributions serve as useful priors for recovering image frequencies. Next, we present a novel image denoising algorithm that uses external, category specific image database. In contrast to existing noisy image restoration algorithms, our method selects clean image “support patches” similar to the noisy patch from an external database. We employ a content adaptive distribution model for each patch where we derive the parameters of the distribution from the support patches. Our objective function composed of a Gaussian fidelity term that imposes category specific information, and a low-rank term that encourages the similarity between the noisy and the support patches in a robust manner. Finally, we propose to learn a fully-convolutional network model that consists of a Chain of Identity Mapping Modules (CIMM) for image denoising. The CIMM structure possesses two distinctive features that are important for the noise removal task. Firstly, each residual unit employs identity mappings as the skip connections and receives pre-activated input to preserve the gradient magnitude propagated in both the forward and backward directions. Secondly, by utilizing dilated kernels for the convolution layers in the residual branch, each neuron in the last convolution layer of each module can observe the full receptive field of the first layer.
Cerebral palsy: A clinico-social case report

Cerebral palsy (CP) is the most common motor disability in childhood. It is characterized by ‘aberrant control of movement or posture appearing early in life (secondary to centralnervous system lesion damage or dysfunction). We report a case of 11 years old male child suffering from spastic cerebral palsy with failure to thrive with severe anaemia and profound mental retardation. Contributory factors identified are consanguinity in family, Mother’s age at pregnancy was 30 years, Perinatal asphyxia and fetal distress etc. Behaviour offamily is neglecting for seeking adequate health care and rehabilitation for the patient.
Reducing dissemination of carbapenem-resistant Klebsiella pneumoniae.

Besides being resistant to several β-lactams, carbapenem-resistant Klebsiella pneumoniae (CRKP) are often resistant to other widely used antimicrobials such as fluoroquinolones and cotrimoxazole, and sometimes to aminoglycosides (1,2). Although possibly not the only reason, the increased risk of delayed/suboptimal treatment consequent to the multidrug-resistant phenotype of CRKP is a major contributor to the high mortality of CRKP infections (3-7).
Step by step approach for qualitative data analysis

The application of qualitative techniques is increasing and acceptable among the researchers. However, majority of the researchers and postgraduate students did not consider the importance of giving detailed procedures in qualitative data analysis for better understanding of the qualitative results. There is a need to uncover step by step approach in qualitative analysis for better application of qualitative techniques. This article presented a detailed step-by-step approach for qualitative analysis with the aid of a pragmatic illustration. The analytic process presented employed the example of qualitative data transcribed into narrative data to develop basic themes. The employment of Domain Analysis and Thematic Network analysis in the example given helped basic themes to converge to higher order themes. The article submitted that this approach in qualitative analysis will aid thorough understanding of qualitative data interpretation. This is extremely thoughtful approach for the systematic presentation of qualitative analysis.
Levels of molecular angiogenic and antiangiogenic in pregnant women with risk of preeclampsia

Background: Angiogenic and antiangiogenic imbalances play a major role in the pathogenesis of preeclampsia. Increased production of sFlt-1 by the placenta causes free circulating PIGF and VEGF concentrations to lower because it is bound by sFlt-1. Measuring levels of angiogenic and antiangiogenic proteins as biomarkers indicates placental dysfunction and distinguishes preeclampsia from other disorders. This study aims to analyze the levels of angiogenic and antiangiogenic molecules in pregnant women at risk for preeclampsia.Methods: The study with a cross-sectional design was carried out in 11-15 weeks gestational age whom had a risk of preeclampsia with 30 samples in primary health care starting April-August 2018. Blood serum was measured by molecular levels of VEGF, PlGF, sFlt-1, and sFlt-1/PlGF ratio using the ELISA method. Data analysis used Pearson product moment test.Results: The mean of VEGF levels are 15.5±21.6, PlGF 89.7±55.5, sFlt-1 11519.4±5126.0 and the ratio sFlt-1/PlGF 166.7±102.1. Correlation value of risk factors for preeclampsia with molecular levels of VEGF r= -0.05; p = 0.76, PlGF r= -0.21; p = 0.26, sFlt r= 0.01; p =0.99 and ratio sFlt-1/PlGF r = 0.10; p = 0.58. Conclusions: The higher the total score of preeclampsia risk factor, the lower the molecular level of VEGF and PlGF is. Moreover, the higher the total score of preeclampsia risk factor, the higher the molecular level sFlt-1 and the sFlt-1/PlGF ratio is. There are no significant correlation between total score of preeclampsia risk factor and levels of molecule VEGF, PlGF, sFlt-1 and sFlt-1/PlGF ratio.