Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECT OF SHOCK WAVE IN TREATMENT OF SCIATIC NEURALGIA

Objective: The purpose of this study was to detect the effect of shock wave in treatment of sciatic neuralgia. Methods: Thirty male and female patients suffering from sciatic neuralgia were assigned randomly into two equal groups. Study group (GA) (n=15) and control group (GB) (n=15). The patients in the study group (GA) received shock wave and therapeutic exercise, the patients in control group (GB) received therapeutic exercise only. Parameter of pain assessment through visual analogue scale and balance stability through biodex stability system were measured before and after four weeks of treatment for both groups. Result: showed that there was significant decrease in pain and significant improve in balance (over all stability index, medio-lateral stability and antro-post stability) in the study group. There was no significant improvement in pain and stability index in the control group. Conclusion: The shock wave was effective method in treatment of sciatic neuralgia.
Model order reduction analysis of DFIG integration on the power system small-signal stability considering the virtual inertia control

In view of the problem that the detailed model of doubly-fed induction generator (DFIG) considering virtual inertia control is high ordered and difficult to analyse, a reduced-order model for DFIG that is applicable to small-signal stability analysis is presented. First, according to the attenuating speed of each state variable, the dynamic characteristics of different components of DFIG are explored from the time scale perspective. On this basis, considering the electromechanical coupling characteristic of DFIG, the third-order simplified model retaining the dynamic of virtual inertia control and phase-locked loop is derived. Moreover then, the dynamic model of inter-connected system with reduced-order model integration is established. Finally, the attenuation time constant of each state variable of DFIG detailed model is calculated. Simulation tests on the New England 10-generator 39-bus test system verify that compared with detailed model of DFIG, the presented reduced-order model could reflect the dynamic characteristics of power system under small-signal disturbance more accurately, with greatly reduced computation amount.
Optical fibre switches based on full wafer silicon micromachining

An optical (1 × 2) moving-fibre switch with bistable operation is presented. The low cost fabrication process based on bulk anisotropic Si etching for thermal actuators with cross sections of 80 × 150 µm2 is described. V-grooves are used for a precise alignment of the optical fibres. Switches and switch arrays are fabricated with high yield and high mechanical stability. An insertion loss of 2 dB including MT-connector losses and a cross talk below the detection limit (-60 dB) are measured. The thermally driven actuators operate with a power <700 mW which is, due to the bistable operation, needed for 100 ms only.
Measurements of the radiofrequency field in magnetic resonance coils

This design note describes an inexpensive system used to control the radiofrequency field generated by magnetic resonance coils. The device is built around three main modules, a sequencer, a modulator and a phase-sensitive detector. This system permits one to detect the radiofrequency field at each point of the region of interest using a pick-up coil, without the requirement of a magnetic resonance spectrometer. Examples of radiofrequency field distributions obtained at 85 MHz are given.
Effective number of resolution bits in direct sensor-to-microcontroller interfaces

Microcontrollers with embedded timers can directly measure resistive and capacitive sensors by determining the charging or discharging time of an RC circuit that includes the sensor. This time-to-digital conversion is affected by the quantization of the timer and the trigger noise, which limit the resolution to an effective number of bits (ENOB). This paper analyses the standard uncertainty and the ENOB of that time-to-digital conversion. When interfacing resistive sensors and the capacitor C is small, quantization effects predominate over trigger noise effects, and ENOB increases for increasing C. But, for capacitor values larger than a given C, trigger noise effects predominate and the ENOB remains constant regardless of C. Therefore, an optimal time constant yields the best speed–ENOB trade-off. This type of sensor interface was implemented by using an AVR microcontroller with an embedded 16-bit timer connected to a resistor simulating a Pt1000-type temperature sensor. The experimental results agree with the theoretical predictions. If the time was determined from a single observation, the optimal time constant was about 2–3 ms and the ENOB was about 11.5 b, which corresponds to a 0.22 Ω resolution. By averaging ten observations, that resolution improved to 13.5 b (0.05 Ω).
Evaluation of daily Suspended sediment load using Deep learning models

: Precise and reliable suspended sediment load (SSL) prediction models can help ensure the integrated water resources management in a river basin. This study considered two deep learning (DL) models i.e. gated recurrent unit (GRU) and long short term memory (LSTM) for daily SSL modeling in the Missouri River at Omaha, NE gauging station in the United States. The established models are verified with various statistical measures. The assessment of prediction accurateness of the DL models showed that the GRU was the best model in SSL prediction. The coefficient of determination was 0.871 for the GRU and 0.865 for LSTM. Besides, the GRU model has a lesser root mean square error (RMSE) and mean absolute error (MAE) compared to the LSTM. In summary, both the developed DL model can be used competently in SSL modeling. However, GRU utilizes less training constraints and thus uses a lesser amount of memory, performs quicker, and trains faster than LSTM, while LSTM needs additional data to be more accurate.
Structural Equation Modeling of Teaching Behavior in Internet Use of Teachers in Thailand

– At present, instruction via the internet is a challenge for teachers. Many teachers have changed their teaching behavior (TB) from a conventional style into a style of teaching via the internet. For this reason, this research had the objective to develop a structural equation model (SEM) of TB in internet use of lower secondary (LS) school teachers, classified according to school size. The developed SEM model of TB in internet use of LS school teachers had validity that was congruent to the empirical data of every model with good criteria of all goodness of fit indices. The model was composed of 8 latent variables from 24 observed variables. All causal variables in the model had a positive direct effect on TB in internet use, and these were able to explain the variation in TB in a large sized school, a very large sized school, and an extra-large sized school, with 99, 100, and 92, respectively.
Transfer of Technologies by Russian Firms: Strategies and Connection to Regional Prosperity

: The paper analyzes the strategies of Russian regional firms related to the transfer of technology. Technology transfer can be an essential driver of innovative development and contribute to sustainable economic growth. Technology transfer is usually understood as the application of technologies, methods, and knowledge developed by other organizations. Often, the active participation of enterprises in technology transfer reflects the features of their innovative behavior and the chosen strategy of innovative development. The paper analyzes the activity of Russian regional firms in technology transfer and the relationship of technology transfer and adaptation with the results of innovation activity. The results of innovation activity are understood as its scale and the quality of innovative products assessed based on market and technological product novelty. The paper considers the GRP per capita indicator as an indicator of regional well-being. The number of technologies transferred and adopted by firms and transfers from abroad of the Russian Federation is analyzed. Besides, the propensity of enterprises to interact with foreign partners in research activities is taken into account. The clustering of regions is used to identify the most widespread strategies. Clustering is conducted for three periods: 2016, 2017, and 2018. As a result, it was possible to identify five sustainable strategies of firms concerning technology transfer. Even though the strategies themselves turned out to be relatively stable, some regions are subject to strategy change, which is associated, among other things, with the cyclic nature of innovation activity. It should also be noted that the overall well-being of the region significantly influences the choice of strategy.
A Study of Unsounded Code Strings at the End of Online Messages of a Q&A Site and a Micro Blog

(cid:151)In this study, we compare answers in a Q&A site with messages in a micro blog and discuss how we use unsounded code strings at the end of online messages. We (cid:2)rst show that unsounded code strings at the end of answers in a Q&A site are used for not only smooth communication but an other purpose, minimum length limit avoidance. Next, we show that the length of unsounded code strings at the end of answers in a Q&A site, which are used for smooth communication, have a similar distribution pattern to those at the end of messages in a micro blog. On the other hand, the length of unsounded code strings used for minimum length limit avoidance have a different distribution pattern. Furthermore, we compare frequently used unsounded code strings at the end of answers in a Q&A site with those at the end of messages in a micro blog. Finally, we show our results are useful to analyze users’ messages in online communities. In this study, we used the data of Yahoo! chiebukuro, a widely-used Japanese Q&A site, and Twitter for observation and examination.
Modeling and Visualization of Cataract Ontologies - A prototypical application in ophthalmic hospitals -

—For handling the complex ophthalmic knowledge concerning surgical cataract interventions on human eyes knowledge domains are modeled as ontologies to guarantee a consistent knowledge at each moment. The different ophthalmic knowledge domains are developed with special wiki models (Semantic Wiki KnowWe). Based on the concepts and the relations between these concepts, the knowledge is represented by a semantic network. For user specific comfortable handling of the information, different visualization methods are designed, realized and compared. The visualization aims to satisfy the needs of ophthalmic experts (clinical surgeons) as well the knowledge engineers. So, different approaches of visualization are shown and evaluated by the clinical partners of the project.
Hemopoietic Suppression in Aplastic Anemia Pathway Mediates Cytokine-Induced Mitogen-Activated Protein Kinase Signaling Cutting Edge: Activation of the p38

Myelosuppressive cytokines, in particular IFN- (cid:1) and TNF- (cid:2) , play an important role in the pathogenesis of idiopathic aplastic anemia in humans. It is unknown whether these negative regulators of hemopoiesis suppress stem cells by activating a common signaling cascade or via distinct nonoverlapping pathways. In this study, we provide evidence that a common element in signaling for IFN- (cid:1) and TNF- (cid:2) in human hemopoietic progenitors is the p38/MapKapK-2 signaling cascade. Our studies indicate that pharmacological inhibition of p38 reverses the suppressive effects of IFN- (cid:1) and TNF- (cid:2) on normal human bone marrow-derived erythroid and myeloid progenitors. Most importantly, inhibition of p38 strongly enhances hemopoietic progenitor colony formation from aplastic anemia bone marrows in vitro. Thus, p38 appears to play a critical role in the pathogenesis of aplastic anemia, suggesting that selective pharmacological inhibitors of this kinase may prove useful in the treatment of aplastic anemia and other cytokine-mediated bone marrow failure syndromes. The Journal of Immunology, 2002, 168: 5984–5988.
Image Stego Detection using Higher Order Statistics

The basic approach taken here works by finding predictable higher-order statistics of natural images within a multi-scale decomposition, and then showing that embedded messages alter these statistics. A Fisher linear discriminant analysis is then used to discriminate between untouched and adulterated images. Detection system suggested here is used to detect seven systems these are: hiding in LSB, hiding in palette, hiding in DCT simple level security, and hiding in wavelet simple level security. In addition, highly-secret systems were constructed, i.e. systems that integrate Cryptography with Steganography in both domains, DCT and Wavelet. Moreover, system of hiding in multiwavelet was used with cryptography.
Exploring the two faces of Software Reverse Engineering

— The original concerns of Software Reverse Engineering was with the problem of understanding the architecture of a software application for the purpose of maintenance and re-engineering; it was conceived as a process of examination to unearth the technological principles of a software through the analysis of its structures, functions and operations in order to recreate and not necessarily copying from the original. However, attackers have leveraged on the openness of the concept to explore the vulnerabilities of a software system thereby making the technology an open-ended research area, This paper examined the concept and limitations of software reverse engineering as it related to applications security. The authors presented the good (deployment for maintenance, ensuring code consistency during migration, etc) and evils of software reverse engineering, that is how the process can be adopted for software tampering and how an attacker can explore the vulnerabilities of a software system through the analysis of the dynamic behaviour of the software system, and so on. The paper also presented some the use of structural error-based techniques such as watermarking, obfuscation and mutation analysis to increase the chances of detecting code related security breaches. Based on the facts presented in this work, we recommended engineering software systems with credible technical defenses against code-level breaches, while still adhering to the virtue of openness in the research community.
Theranostic Nanoparticles in Cancer Imaging

NPs can be easily combined with MRI, optical imaging and photo acoustic imaging. When appropriately functionalized with imaging probes they can be incorporated in nearly all imaging modalities. SPECT, PET and even more multimodal imaging techniques like PET/ SPECT, MRI, CT, NIRF combined with NPs, allow high sensitivity with minimized background noise, measurement quantification and non-invasive procedures, creating an indispensable tool for targeted in vivo molecular imaging [8, 9]. There are various theragnostic NPs and delivery strategies used, depending on the imaging modality combined with. Their size has a range of 10 to 100nm, manufactured from soluble or colloidal polymeric materials and functionalized with an imaging probe (encapsulated in the core or conjugated on the surface) and another probe on the surface that recognizes the tumor in a specific way [9, 10] (e.g targeting the folate receptor, integrin ανβ3, VEGF, PSMA that are up regulated in different cancer types) [1114]. The desired nanosystem should be non-toxic, non-immunogenic and active only in the tissue of interest and not in bloodstream. PEG polymer (polyethylene glycol) is approved by the FDA and conjugated to several drugs such as, Oncaspar (asparaginase), Neulasta (granulocyte colony stimulating factor), Peg-Intron (a-interferon 2b). Monoclonal antibodies and recombinant DNA are used to reduce immunogenic reaction, enhance the stability of the nanosystem and thus prolong half-life in bloodstream, while conjugated linkers responsive to specific stimuli release the encapsulated drug only in specific environments (eg. pH sensitive, thermo sensitive) [3, 4, 7].
A social media mining approach to disaster relief management efforts: Hurricane Harvey

Natural disasters such as hurricanes cause long lasting life changing events for the people in the affected areas. Over time, the social media platforms like Twitter have proved to aid the relief works done by social organizations and people in the event of the disaster. Social media is being used more and more to generate disaster awareness and the relief work required in the affected areas. Through our research we analyze tweets related to Hurricane Harvey by using a different set of n-grams and feeding the refined tweets to three different classifiers – Naïve Byes, Logistic Regression and SVM. We classify these tweets in three categories: donation, relocation and volunteering. This is done for tweets generated during the event and at different times after Hurricane Harvey dissipated. We then compare the results of the classification for the different periods. We conclude our research with the observation that the tweets related to donation, relocation and volunteering are a small percentage of the total tweets published during the disaster and these numbers tend to decrease further over time. However, tweets related to donations are still somehow relevant months after Hurricane Harvey.
Assessment of Gene Expression Level of ATP Binding Cassette G Member 2 (ABCG2) Transporter in Newly Diagnosed Breast Cancer Patients Receiving Adjuvant Chemotherapy

: The efficacy of cancer chemotherapy is limited by cellular mechanisms of resistance that result in increased drug efflux of chemotherapeutic agents thereby reducing intracellular drug levels and causing drug resistance. Overexpression of some members of ATP binding cassette transporter superfamily, including ATP binding cassette G member 2 (ABCG2), which mediates energy-dependent transport of drugs out of the cells against concentration gradient, is one of the major mechanisms responsible for multidrug resistance in the treatment of breast cancer. In the current study, the expression of ABCG2 mRNA gene was evaluated in the peripheral blood of newly diagnosed breast cancer (NDBC) patients immediately before surgical resection of the breast and in extirpated breast tumors, then sequentially in the blood of patients after receiving three and six cycles of chemotherapy. Compared to normal breast, cancerous specimens expressed higher levels of ABCG2 gene expression (p<0.001). In addition, a gradual significant increase in the expression of peripheral blood ABCG2 gene of NDBC patients among different treatment periods was recorded. Furthermore, a significant positive correlation between peripheral blood ABCG2 gene expression of NDBC patients receiving chemotherapy and disease progression was found. In conclusion, assessment of ABCG2 gene expression may be a prerequisite in evaluating the effectiveness of chemotherapy-treated breast cancer patients. concentration and purity of total RNA were then assessed by measuring absorbance at 260 and 280 nm, respectively, in a spectrophotometer (Nano Drop 2000, Thermo Scientific, USA). Reverse transcription of the to synthesize first strand complementary DNA (cDNA) performed using AMV Reverse Transcriptase kit (Promega, WI, USA). Real-time PCR amplification and analysis were performed in ABI 7500 Fast Sequence Detection System
Vaccinated HLA-A*0201 Transgenic Mice Critically Depends on CD4 T Cell Help in Epitope 503 - 495 Phosphoprotein pp65 to the Human Cytomegalovirus Tegument The Immunodominant CD8 T Cell Response

Immunodominance hierarchies operating in immune responses to viral Ags limit the diversity of the elicited CD8 T cell responses. We evaluated in I-A b+ /A2-HHD-II and HLA-DR1 + /A2-DR1 mice the HLA-A*0201–restricted, multispeciﬁc CD8 T cell responses to the human CMV tegument phosphoprotein pp65 (pp65) Ag. Vaccination of mice with pp65-encoding DNA elicited high IFN- g + CD8 T cell frequencies to the pp65 495–503 /(e6) epitope and low responses to the pp65 320–328 /(e3) and pp65 522–530 /(e8) epitopes. Abrogation of the e6-speciﬁc immunity efﬁciently enhanced e3- and e8-speciﬁc T cell responses by a pp65 D 501–503 DNA vaccine. The immunodominant e6-speciﬁc (but not the e3- and e8-speciﬁc) CD8 T cell response critically depends on CD4 T cell help. Injection of monospeciﬁc DNA- or peptide-based vaccines encoding the e3 or e8 (but not the e6) epitope into mice elicited CD8 T cells. Codelivering the antigenic peptides with different heterologous CD4 T cell helper epitopes enhanced e6-speciﬁc (but not e3- or e8-speciﬁc) CD8 T cell responses. Similarly, homologous CD4 T cell help, located within an overlapping (nested) pp65 487–503 domain, facilitated induction of e6-speciﬁc CD8 T cell responses by peptide-based vaccination. The position of the e6 epitope within this nested domain is not critical to induce the immunodominant, e6-speciﬁc CD8 T cell response to the pp65 Ag. Distant CD4 T cell epitope(s) can thus provide efﬁcient help for establishing pp65-e6 immunodominance in vaccinated mice. These results have practical implications for the design of new T cell-stimulating vaccines. The Journal of Immunology , 2011, 187: 000–000.
Randomized Phase III Study to Assess Efficacy and Safety of Adjuvant CAPOX with or without Bevacizumab in Patients after Resection of Colorectal Liver Metastases: HEPATICA study 1,2

Bevacizumab is a humanized monoclonal antibody targeting vascular endothelial growth factor (VEGF). Recurrence after resection of colorectal liver metastases (CRLMs), presumably caused by VEGF-mediated outgrowth of micrometastases, might decrease when VEGF is inhibited. This study examines the efficacy and safety of adding bevacizumab to an adjuvantregimenof CAPOX inpatients undergoing radical resectionfortheirCRLMs. Patientswith resected CRLMs were randomized after surgery to receive CAPOX and bevacizumab
Workload Adaptive I/O Fairness Scheme for Modern Cloud Storage

—Although many cloud services have introduced several algorithms for providing Quality of Service (QoS) satisfaction to users, the performance interference problem among services has not yet been solved. Because multiple heterogeneous services produce non-deterministic workloads in the real world, service providers often experience contradictory results in their quality prediction. To solve this phenomenon, we specifically focus on the storage layer among the entire cloud stack. In this paper, we propose a workload adaptive Input/Output (I/O) fairness scheme to guarantee balanced data access regardless of various service workloads. Furthermore, we validate our idea through performance evaluations and show that our algorithm can satisfy QoS requirements in the cloud service.