Miracle-dz/UniFAR-FTUs huggingface dataset:
Transcription Factor KLF4: A Potential Biomarker of Non-small Cell Lung Cancertranscription Factor KLF4: A Potential Biomarker of Non-small Cell Lung Cancer

Background Krüppel-like factor 4 (KLF4) is a member of the zinc finger transcription factor family and plays an important role in cell proliferation, differentiation, apoptosis, embryonic development, organ formation, and tumor invasion. There is little research on the clinicopathological characteristics and KLF4 expression in non-small cell lung cancer (NSCLC). Methods We conducted a retrospective study to further explore the correlation between KLF4 expression and clinicopathological features of NSCLC by immunohistochemical staining. Results This study included 81 males (52.3%), 74 females (47.7%), and 101 (65.2%) ages <65, 54 (34.8%) ages ≥65 years. A total number of 127 cases (81.9%) were adenocarcinoma, 26 cases (16.8%) were squamous cell carcinoma, and 2 cases (1.3%) were large cell carcinoma. There were 140 patients (89.7%) in T1-T2 phase and 15 patients in T3-T4 phase; 130 patients (83.9%) in N0 phase and 25 patients (16.1%) in N1-N3 phase. There were no distant metastases in 154 patients (99.4%), and only 1 patient (0.6%) was in M1 phase. In terms of clinical stage, 142 patients (91.6%) in stage I-II and 13 patients (8.4%) in stage III-IV. The number of patients with smoking history was 40 (25.8%). KLF4 expression in NSCLC tissues was significantly decreased compared with normal lung tissues (P<0.001); KLF4 expression in adenocarcinoma was lower than that in normal lung tissues (P<0.001), while there was no significant difference in quamous cell carcinoma (P=0.314). Higher KLF4 expression was significantly associated with clinicopathological features of NSCLC such as squamous cell carcinoma (P<0.001), later T stage (T3-T4 stage) (P=0.013), lymph node metastasis (P=0.011), later clinical stage (III-IV stage) (P=0.001). KLF4 expression was not associated with age (P=0.082); there was no significant difference in KLF4 expression between male and female patients with adenocarcinoma (P=0.709). It was also found that KLF4 was positively correlated with Ki-67 expression in patients with adenocarcinoma (r=0.272, P=0.002). Conclusions Aboval all, the tumor suppressor gene KLF4 might become a potential biomarker and a new therapeutic target for lung cancer patients.
Environmental impacts of reconstruction activities: A case of Lebanon

Significant damages incurred across Lebanon during the July 2006 war encompassing the destruction of road networks, bridges and overpasses as well as a vast number of dwelling units. It is anticipated that reconstruction works after the war shall unavoidably create a newly founded demand for natural resources, most notably primary and secondary construction material. This paper assesses the war-related impacts of the construction sector on the environment coupled with recommendations for controlling and mitigating these impacts. A cost benefit analysis of four different scenarios for supplying construction material was conducted based on their environmental and fiscal costs as well as their economic benefits and government returns. The Fixed Box Model was applied to estimate air pollutants concentration. Results indicated that the preferred alternative for the supply of cement primarily consists of local manufacturing of 100 percent of the required quantities. With regards to sand and aggregates, the analysis indicated that the preferred alternatives are to either rely on local production or import 25 percent of the required material. The predicted average concentration of Total Suspended Particulates at the southern suburb of Beirut site exceeded the recommended values of the Lebanese, EU, USEPA, and WHO standards.
The Development of a Suggested Internationalized Curriculum for Egyptian Prospective EFL Teachers

The Egyptian reform agenda targets the current Egyptian Teacher Education Curricula (ETEC). Reform should meet the national and international requirements. Accordingly, research attempted to evaluate the current English as a Foreign Language Teacher Education Curriculum (EFLTEC) and to suggest an Internationalized Curriculum for Egyptian Secondary School EFL Teachers’ Preparation. The suggested curriculum was developed in light of the insights gained from analyzing nine referenced documents namely; the Sustainable Development Strategy (SDS), National Academic Reference Standards (NARS), American Council on the Teaching of Foreign Language (ACTFL), National Council for Accreditation of Teacher Education (NCATE), the Standards of the Council for Accreditation of Educator Preparation CAEP, the Australian Professional Standards for Teachers (APST), Cambridge English Teaching Framework (CETF), Sustainable Development Goals (SDGs) and 21 Century Skills. Twenty six EFL fourth-year students participated in the pilot study and ninety six of the same majors and level participated in the main study. In addition, seventeen EFL experts participated in the study. The research project adopted the mixed research method so that document analysis technique, interview, questionnaire, Delphi technique, and focus group technique were used to collect the targeted quantitative and qualitative data. Results revealed that EFL majors (73.9%) were not satisfied with the current EFLTEC in terms of meeting the national and international teacher preparation requirements. Document analysis resulted in stating seven EFL preparation curriculum standards integrating national and international against which an Internationalized Secondary School EFL Teachers’ Education Curriculum was proposed.
Wrapping Blocks: A Fun Way to Teach Job Design

This article provides an overview of job design and offers an experiential teaching exercise to help students develop a better comprehension of job design and redesign, as well as learn the importance and challenges of such undertakings. Understanding the core elements of job design is especially important because job design serves as the foundational block for a deeper understanding and application of other organizational phenomenon such as the job characteristics model. This exercise is intended for the introductory undergraduate and graduate-level human resource management course as well as any courses covering “staffing. ” Additionally, this activity may be used in the undergraduate Principles of Management or associated introductory management class.
The parking assist apparatus

When entering the parking space with respect to the vehicle by the steering means (2) for automatic control or auxiliary exit, the size of a parking space (extra length) increases the size of the margin with respect to the vehicle, is calculated by the the motor means (2) is generated by performing automatic control (2a) of the temperature rise to a larger value. Further, by the temperature rise amount to the temperature of the motor (2a) of the value, calculated by the electric motor (2a) associated to the automatic control of the execution of the temperature rise of the predicted current temperature. Further, the predicted temperature is higher than the value thus determined value, prohibit execution of the automatic control, on the other hand, the predicted temperature value is less than the determination of such a low value, allowing the implementation of the automatic control.
Machine Learning Algorithm Guiding Local Treatment Decisions For Lung Cancer Patients With Bone Metastases

Background: As life expectancy increases for lung cancer patients who develop bone metastases, the need for personalized local treatment for bone metastases is expanding.Methods: Lung cancer patients with bone metastases were treated by a multidisciplinary team via surgery, percutaneous osteoplasty, or radiation. The pre- and post-treatment visual analog scale (VAS) and Quality of Life (QoL) scores were analyzed. QoL at 12 weeks was the main outcome. Treatment-related costs and overall survival time (OS) were collected. We used machine learning to develop and test models to predict which patients should receive local treatment. Models discrimination were evaluated by the area under curve (AUC), and the best one was used for validation in clinical use. Results: Under the direction of a multidisciplinary team, 161 patients in the training set, and 32 patients in the test set underwent local treatment. A decision tree model included VAS scale, bone metastases character, Frankel classification, Mirels score, age, driver gene, aldehyde dehydrogenase 2, and enolase 1 expression had a best AUC of 0.92 (95%CI 0.89 to 0.94), and 36 patients in a validation set underwent local treatment guided by the model. Improved QoL and VAS scores were observed at 12 weeks after local treatment in training, test, and validation sets (p < 0.05), with no significant differences among the three datasets. There were no significant differences in mean costs among the three datasets in the four treatment groups. OS was 18.03±0.45 months and did not significantly differ among treatment groups or the three datasets. Conclusions: Local treatment not only had no negative influence on OS but also provided significant pain relief and improved QoL. QoL, OS or costs did not significantly differ between patients whose treatment was guided by a multidisciplinary team or machine learning model. Our machine learning model using clinical data can help guide clinicians to make local treatment decisions to improve patients’ QoL.Trial registration: No. ChiCRT-ROC-16009501
An effective texture descriptor for retrieval of biomedical and face images based on co-occurrence of similar center-symmetric local binary edges

In this paper, a new texture descriptor is proposed for face and biomedical image retrieval. The proposed texture descriptor extracts the co-occurrence of similar center-symmetric local binary edges which are computed at radius ‘1’ and ‘2’ of the local neighborhoods. In contrast, one recent related work first extracts the local pattern of the original image using center-symmetric local binary pattern (CSLBP) and then applies gray-level co-occurrence matrix (GLCM) with four directions as a result of which four matrices are obtained in each direction. The proposed descriptor with much less dimensions captures the co-occurrence information between the local CSLBP edges very efficiently and shows encouraging discriminativeness over similar techniques. Finally more spatial information is incorporated by forming the feature vector by concatenating the histograms calculated from non-overlapping blocks of the pattern map. The efficacy of the proposed descriptor is tested under face and biomedical image retrieval in terms of precision and recall. The benchmark databases ORL face, OSIRIX-CT, NEMA-CT, and York MRI are used for performance evaluation and comparison of the proposed technique with other similar techniques.
IMPACTO DE LA IMPLEMENTACIÓN DE UN ALGORITMO EN EL TRATAMIENTO DE NIÑOS HOSPITALIZADOS POR ASMA AGUDO

Los pacientes hospitalizados por asma agudo tratados con un algoritmo preestablecido, podrían disminuir la estancia hospitalaria y requerimiento de cama crítica (UCIP). El objetivo de este trabajo fue el de implementar y evaluar el impacto de un algoritmo preestablecido para tratar a niños hospitalizados por asma aguda. Es un estudio transversal y comparativo, con una muestra prospectiva por conveniencia, de niños asmáticos entre 5 y 15 años ingresados durante el 2017 sin respuesta a la primera línea de tratamiento en el servicio de urgencia. Se excluyeron pacientes con comorbilidades cardiorespiratorias y con ingreso directo a UCIP. Se aplicó un algoritmo durante 2 horas evaluando su efectividad mediante puntaje clínico (PAS, por su sigla en inglés Pediatric Asthma Score). Ingresaron 55 pacientes, edad media 8,02 años, 41,8% sexo femenino. El PAS disminuyó de 8 a 5 puntos al finalizar algoritmo (p <0,001). Al comparar los resultados obtenidos con el grupo tratado el año anterior, sin aplicación de algoritmo en 51 pacientes con similares características demográficas, se observó una hospitalización más breve (0,6 días versus 0,95 días (p < 0,0368)). El algoritmo en asma aguda unificó criterios de tratamiento y los tiempos en su aplicación. Se observó una rápida disminución del puntaje clínico y menor estancia hospitalaria.
A survey on Sentimental Analysis algorithms and techniques

 Abstract-Social web has been the lead of data in recent years. The data on social web simulates the customer reviews, comments, and opinions of people about products, opinion, events, etc. The automatic mining technique that is used to gather and analyze text and classify it into positive, negative and neutral is called Sentimental analysis using Natural language processing. The main objective of this paper is to give explain insights on SA algorithms and techniques.
Anti-eye strain apparatus and method

One kind of eyestrain and means (10) to prevent, which automatically adjusts the brightness of the display to enable the user to adjust the eye muscle and refocus, so as to reduce or eliminate eye strain or fatigue. A luminance change in a specific range, and from time to time or periodically adjusting said brightness within this range. Preferably the brightness variation according to a predetermined cycle or pattern. The brightness change may viewer can perceive or imperceptible. This prevents eyestrain apparatus and method (10) includes a backlight is stored in the storage device control software (12), which provides a set of commands executed by a CPU (14), the CPU also with a backlight driver (16 ) and a backlight controller (20) communication connection. The brightness of the display can be used, for example, a mechanically adjustable potentiometer, or by the display (21) a computer (14) connected to the regulator, for example by an application or software (12), or a color palette or adjusted by changing the gradation .
RF silicon MOS integrated power amplifier for analog cellular applications

We report the RF performance of the first integrated power amplifier using silicon MOS field effect transistors, shunt and series capacitors, transmission lines, spiral inductors, ground vias and ESD protection devices. The amplifier provided an output power of 1.5 W and 56% efficiency at a supply voltage of 5.8 V (850 MHz) with 25 dB of small signal gain and more than 10 dB input return loss.
Genetic algorithms as a tool for phased array radar design

Abstract : The United States Navy needs creative ways to design multi-function phased array radars. This thesis proposes that Genetic Algorithms, computer programs that mimic natural selection to arrive at innovative solutions to complex problems, would be particularly well suited to this task. The ability of a Genetic Algorithm to properly predict the behavior of an array antenna with randomly located elements was examined with encouraging results through the construction and measurement of a test array. Comparison of test data to Genetic Algorithm and Method of Moments calculations showed significant qualitative agreement in the antenna test patterns of a thin, randomly distributed array. Areas of disagreement between the test article pattern and the calculated ones were traced to systematic errors in the anechoic chamber and alignment error during antenna positioning. The final experiment to demonstrate beam steering was not completed due to lack of time and poor response of mechanical phase shifters. Despite the inability to demonstrate beam steering, the early experiments demonstrate the significant potential for using Genetic Algorithms for complex shipboard phased array radar antenna design.
An analysis of current guidance in the certification of airborne software

The use of software in commercial aviation has expanded over the last two decades, moving from commercial passenger transport down into single-engine piston aircraft. The most comprehensive and recent official guidance on software certification guidelines was approved in 1992 as DO-178B, before the widespread use of object-oriented design and complex aircraft systems integration in general aviation (GA). The new technologies present problems not foreseen by the original guidance material and may complicate demonstration of compliance with such guidance material. The Federal Aviation Administration has deferred to industry experts in the form of the Radio Technical Commission for Aeronautics (RTCA) and the Society of Automotive Engineers (SAE) to create software and system approval guidance. The FAA's Advisory Circular (AC) 23.13091C created a four-tier approval system to reduce software and system approval burden on smaller aircraft, creating a lower standard for small aircraft in the hopes that safety gains from technology would outweigh the potential cost of defects from less stringent requirements. Further guidance regarding the role of software in the overall system is spread across other documents including Aerospace Recommended Practice (ARP) 4754, ARP 4761, and applicable SAE Aerospace Standards (AS). The guidance material, spread across several documents, lacks sufficient specificity to be of use to an everyday practitioner. In addition the guidelines are not necessarily rigorously enforced when the same artifacts are required at different levels of design assurance as stated within DO-178B itself. After a literature review and regulatory analysis, this thesis investigates some example defects that escaped detection during application of the guidance in a real-world product, making specific recommendations to improve the guidance in a usable way. Thesis Supervisor: Nancy Leveson Title: Professor of Aeronautics and Astronautics, Professor of Engineering Systems This page is intentionally left blank.
Novel Hybrid Architecture of Infotainment for Streaming Signals in Vehicular Network

Infotainment system is meant for offering integrated services of information and entertainment to the driver to offer a better driving experience. However, the infotainment system's present state is more towards entertainment and less towards accessing real-time information propagation for avoiding the occurrences of road fatalities. In this regard, the streaming of multimedia signals would increase communication to enhance driving experiences. The infotainment system is one integral part of vehicular communication for road safety; however, it has received less attention. Existing approaches towards data transmission among vehicles are studied concerning three standard architectures. A hybrid approach is far better than the infrastructure-based and ad-hoc-based approaches. Still, there are open-end loopholes towards hybrid architectures where reliability in the data dissemination process in the presence of dynamic topology of vehicular nodes is not considered. Therefore, the proposed study introduces a novel analytical model where the vehicles' streaming services can be offered by improvising the existing hybrid architecture. With a unique inclusion of link-quality-based attributes towards making a precise decision of the vehicles' mobility, the proposed system formulates error-free links among the communicating vehicles. The simulated study outcome shows that the proposed system offers better streaming performance than existing hybrid schemes.
A Survey on Client Throughput Prediction Algorithms in Wired and Wireless Networks

Network communication has become a part of everyday life, and the interconnection among devices and people will increase even more in the future. Nevertheless, prediction of Quality of Service parameters, particularly throughput, is quite a challenging task. In this survey, we provide an extensive insight into the literature on Transmission Control Protocol throughput prediction. The goal is to provide an overview of the used techniques and to elaborate on open aspects and white spots in this area. We assessed more than 35 approaches spanning from equation-based over various time smoothing to modern learning and location smoothing methods. In addition, different error functions for the evaluation of the approaches as well as publicly available recording tools and datasets are discussed. To conclude, we point out open challenges especially looking in the area of moving mobile network clients. The use of throughput prediction not only enables a more efficient use of the available bandwidth, the techniques shown in this work also result in more robust and stable communication.
LA METODOLOgÍA SISTÉMICA Y EL ROL DE LAS REPRESENTACIONES EN EL DISEÑO CONCEPTUAL DE PRODUCTOS INDUSTRIALES

This article talks about how to apply new concurrent models for the design of products, and the representations role in the process of conformation and definition of the product characteristics in the conceptual design stage. The systemic model based on the cyclical thought increases the creative develop due to the broad disintegration and develop grade. This allows to manage the designer's defined prescriptions and to systematize the use of representations in the conceptual design. It also shows its application in the design engineering educational field, as well as in the results obtained. The model was applied to two students' groups experienced in the products design. This model has suggested a time reduction improving the previous years comparative results. The model allows to manage the knowledge in a separated way, and uses the sketch as a synthetic configuration with the aim to represent the theoric product attributes according to the objectives suggested. This model performs as a guide, since it prescribes work guidelines developing greater benefits, and because it guides the "designer student" in its use and it is also an organized and structured way to gather the information, helping with the presentation and reasoning of the problem suggested.
An Operations Management Approach for Radiology Services

this paper focus on the application of Operations Management techniques in the context of radiological and diagnostic imaging services provision. More specifically, the outpatient appointment scheduling problem for MRI diagnostic imaging services in a radiology clinics is approached and solved taking into account set-up time minimization. This is pursued trough the design of an innovative system for the on-line assignment of appointments for specific diagnostic imaging scans. An appointment rule, a patient classification and an heuristic procedure for the booking process are defined in order to better manage uncertainty and improve system performance. The proposed approach was validated on the case of a diagnostic centre of Alliance Medical, a primary multinational company in the field of diagnostic imaging services.
Improving Power System Stability by Designing Supplementary Controller of HVDC Using Real Genetic Algorithm

This paper investigates the ability of Real Genetic Algorithm (RGA) in designing supplementary controller of High Voltage Direct Current (HVDC) link to damp the power system oscillation. A conventional lead-lag structure is considered for the supplementary controller. The aim of the proposed control strategy is to choose the best controller parameters in such a way that the dominant eigenvalues of the closed-loop system are shifted to the left-hand side of s-plane as far as possible. Also, the binary version of genetic algorithm (BGA) is used to design a supplementary controller for HVDC. The characteristic convergence and time simulation results show that both versions of GA have good capability in solving the problem but RGA gives better results.