Miracle-dz/UniFAR-FTUs huggingface dataset:
The Prognostic Value of the m6A Score in Multiple Myeloma Based on Machine Learning

Background: Multiple myeloma (MM) is one of the most common cancers of the blood system. N6-methyladenosine (m6A) plays an important role in cancer progression. We aimed to investigate the prognostic relevance of the m6A score in multiple myeloma through a series of bioinformatics analyses. Methods: The microarray dataset GSE4581 and GSE57317 used in this study were downloaded from the Gene Expression Omnibus (GEO) database. The m6A score was calculated using the GSVA package. The Random forests, univariate Cox regression analysis and Lasso analyses were performed for the differentially expressed genes (DEGs). Kaplan–Meier analysis and an ROC curve were used to diagnose the effectiveness of the model. Results: The GSVA R software package was used to predict the function. A total of 21 m6A genes were obtained, and 286 DEGs were identified between high and low m6A score groups. The risk model was constructed and composed of PRX, LBR, RB1, FBXL19-AS1, ARSK, MFAP3L, SLC44A3, UNC119 and SHCBP1. Functional analysis of risk score showed that with the increase in the risk score, Activated CD4 T cells, Memory B cells and Type 2 T helper cells were highly infiltrated. Conclusions: Immune checkpoints such as HMGB1, TGFB1, CXCL9 and HAVCR2 were significantly positively correlated with the risk score. We believe that the m6A score has a certain prognostic value in multiple myeloma.
Empowering marginalised children in developing countries through participatory design processes

Children are usually more competent than acknowledged by adults and designers. Valuable user perspectives are lost if only information from adult carers such as teachers and parents is included in the design process. Participatory projects can be empowering processes resulting in empowered outcomes, i.e. increased physical empowerment of children and products that raise their quality of life. In this paper, a theoretical platform for developing a design methodology for participatory design with underprivileged children in developing countries is presented. The framework consists of an explanation of psychological empowerment in the context of participatory design processes, a definition of participatory design with children, and a model distinguishing between different levels of user participation. Experiences and results from a case study conducted with children using prosthetic legs in Cambodia are described. The case study shows that through simple participatory techniques, children can give designers insight into their needs and desires.
Towards Flocking Navigation and Obstacle Avoidance for Multi-UAV Systems through Hierarchical Weighting Vicsek Model

Flocking navigation and obstacle avoidance in complex environments remain challenging for multiple unmanned aerial vehicle (multi-UAV) systems, especially when only one UAV (termed as information UAV) knows the predetermined path and the communication range is limited. To this end, we propose a hierarchical weighting Vicsek model (HWVEM). In this model, a hierarchical weighting mechanism and an obstacle avoidance mechanism are designed. Based on the hierarchical weighting mechanism, all the UAVs are divided into different layers, and assigned with different weights according to the layer to which they belong. The purpose is to align the rest of UAVs with the information UAV more efficiently. Subsequently, the obstacle avoidance mechanism that utilizes only the local information is developed to ensure the system safety in an environment filled with obstacles differing in size and shape. A series of simulations have been conducted to demonstrate the high performance of HWVEM in terms of convergence time, success rate, and safety.
Upgrading Existing Biometric Security Systems by Implementing the Concept of Cancelable Biometrics

Today's biometric security systems have a number of problems that emerge from the fact that the biometric data of a person is stored in the system. The problems arise when that data is compromised. Standard password based security systems have the ability to cancel the compromised password and reissue a new one. The biometrics cannot be canceled or changed which can be their advantage and a disadvantage in this particular situation. The concept of cancelable biometrics can upgrade the biometric security system so that it gains the advantages of the password based security system, by not losing the inherent superiority.
Real Time Smartphone Data for Prediction of Nomophobia Severity using Supervised Machine Learning

Excessive use of smartphones throughout the day having dependency on them for social interaction, entertainment and information retrieval may lead users to develop nomophobia. This makes them feel anxious during non-availability of smartphones. This study describes the usefulness of real time smartphone usage data for prediction of nomophobia severity using machine learning. Data is collected from 141 undergraduate students analyzing their perception about their smartphone using the Nomophobia Questionnaire (NMP-Q) and their real time smartphone usage patterns using a purpose-built android application. Supervised machine learning models including Random Forest, Decision Tree, Support Vector Machines, Naïve Bayes and K-Nearest Neighbor are trained using two features sets where the first feature set comprises only the NMP-Q features and the other comprises real time smartphone usage features along with the NMP-Q features. Performance of these models is evaluated using f-measure and area under ROC and It is observed that all the models perform better when provided with smartphone usage features along with the NMP-Q features. Naïve Bayes outperforms other models in prediction of nomophobia achieving a f-measure value of 0.891 and ROC area value of 0.933.
PCA based forward-looking infrared airport recognition combining intensity and shape feature

In this paper, a novel method based on PCA with shape and intensity information is proposed for infrared forward-looking airport recognition. Here, PCA is used to perform feature transformation and airport recognition. It maps an input image into a low-dimensional feature space in order to make the mapped features linearly separable. And the input image of conventional method only uses intensity information. The proposed method not only considers the intensity but also adopts shape-mask to emphasize the important object area information. The novel method is evaluated based on the sequence of infrared forward-looking airport images by using different airport recognition methods such as BP networking and SVM. The experiment's results have been compared based on percentage of correct classification, computation complexity and amount of training data, which show that this new method is superior to other recognition approach on computation complexity under almost the same recognition accuracy.
Vibration control of a passenger car using MR engine mounts

This paper proposes a semiactive controllable magneto-rheological(MR) engine mount for vibration control of a passenger vehicle. A mixed-mode type MR engine mount is devised and incorporated with a full-vehicle model. The governing equation of the model is derived by considering engine excitation force and a semiactive skyhook controller is designed to attenuate unwanted vibrations. The controller is implemented through a hardware-in-the-loop simulation(HILS) and control responses such as acceleration at the driver's position are evaluated in time and frequency domains.
Development and characterisation of (Mg, Mn) U-type microwave absorbing materials and its application in radar cross sections reduction

The preparation and complex permittivity and permeability measurement of a new U-type of hexaferrite microwave absorbing material (Ba4 Mg2 − x Mn x Fe36 O60) is reported for different value of x in range 0 ≤ x ≤ 2. Complex permittivity and permeability values of hexaferrite pellets are measured using a vector network analyser (VNA) in X-band. The reflection loss of the materials is computed for different values of x and thickness using the measured permittivity and permeability values. The optimum reflection loss is found to be −43 dB for hexaferrite pellet (x = 0.5) at a thickness of t = 1.7 mm. Microwave absorbing paint pellets are prepared by mixing hexaferrite powder with polyimide solution and their complex permeability and permittivity are also measured using a VNA. Using these measured values, radar cross-section reduction simulation for artillery shells has been carried out using electromagnetic simulation software in the 8–10 GHz frequency range. A maximum radar cross-section reduction of 15 dB has been observed for a 30 mm artillery shell at 9 GHz.
Percutaneous Coronary Intervention Compared to Coronary Artery Bypass Grafting in Patients with Non-ST-Elevation Acute Coronary Syndrome – A Systematic Review and Meta-Analysis

Objectives: Non-ST-elevation acute coronary syndrome (NSTE-ACS) affects millions of patients. Although an invasive strategy can improve survival, the optimal treatment (i.e., percutaneous coronary intervention [PCI] or coronary artery bypass grafting [CABG]) is not clear. We performed a meta-analysis of studies reporting outcomes between PCI and CABG in patients with NSTE-ACS.Methods: MEDLINE, EMBASE and Cochrane Library were assessed. The primary outcome was long-term mortality. Inverse variance method and random model were performed.Results: We identified 13 observational studies (48,891 patients). No significant difference was found in the primary endpoint (CABG vs. PCI, incidence rate ratio [IRR]= 0.93, 95% confidence interval [CI] 0.70; 1.23). CABG was associated with lower long-term major adverse cardiovascular events (MACE) (IRR= 0.64, 95% CI 0.54; 0.76) and lower long-term re-revascularization (IRR= 0.37, 95% CI 0.30; 0.47). There was no significant difference in long-term myocardial infarction (CABG vs. PCI, IRR= 0.96, 95% CI 0.50; 1.84) and peri-operative mortality (CABG vs. PCI, odds ratio [OR]= 1.36, 95% CI 0.94; 1.95). Conclusion: For the treatment of NSTE-ACS, CABG and PCI are associated with similar rates of long-term mortality and myocardial infarction. CABG is associated with lower rates of long-term MACE and re-revascularization. Randomized comparisons in this setting are necessary.
COMPARISON OF INTRINSIC KNEE JOINT KINEMATICS AND SELECTED LOWER EXTREMITY MUSCLE EMG ACTIVITY BETWEEN UNIMPAIRED AND ACL DEFICIENT KNEES

oto 10 o knee flexion, at the joint surface. EMG was sampled from the vastus lateralis, medial hamstring, medial gastrocnemius, gluteus maximus and anterior tibialis muscles and normalized to maximal voluntary isometric contractions. To test for differences in % rolling, a 3-way ANOVA (α < 0.05) was conducted that included 1 between-subjects factor (Group: Unimpaired and ACL-deficient) and 2 within-subjects factors (Movement Condition: WB and NWB; Knee Angle: 90 o , 80 o , …,10 o ). We tested the main effects of Group (G), Movement Condition (M), and Knee Angle (K), as well as the following interaction effects: GM, GK, MK, and GMK. Bonferroni-corrected t-tests were conducted post-hoc to determine at which Knee Angle(s) % rolling differed between Movement Conditions or between Groups. To test for differences in normalized EMG activity between the 2 groups, we conducted a 4-way ANOVA (α < 0.05) including the 3 factors previously tested and an additional within-subjects factor (Muscle: N=5).
Density functional theory based study of the physical properties of cesium based cubic halide perovskites CsHgX3 (X═F and Cl)

Structural, elastic, electronic, and optical properties of Cs‐based halide perovskite compounds CsHgX3 (X═F and Cl) are computed in the framework of density functional theory (DFT). The obtained optimized lattice parameters are found to agree with available experimental and other theoretical data. Elastic parameters, such as anisotropic factor, bulk modulus, elastic constants, Pugh's ratio, and Poisson's ratio, are predicted. It is observed from the elastic properties measurements that these compounds are ductile, anisotropic, and mechanically stable. Band structures and density of states (DOS) are performed for the computation of electronic properties and it is found that the calculated bandgap of CsHgF3 is of an indirect and semiconductive nature, while CsHgCl3 reveals metallic nature. For more clarification of electronic properties, the DOS presents the different contributions of valence states to valence and conduction bands. Optical properties, such as real and imaginary parts of dielectric functions, reflectivity, extinction coefficients, absorption coefficients, optical conductivity, and refractive indices, are also calculated in the energy range 0 to 30 eV. From the optical properties, it is found that these materials possess high absorption and refractive index, due to which it can be deemed as a suitable candidate for optical lenses and optical coating materials.
An Archival Evaluation of the Effect of Eating and Body Image on Distress and Outcomes at a University Counseling Center

ABSTRACT The objective of this study was to evaluate the initial general distress levels and unique recovery trajectories of clients who report eating and body image concerns. Data from 3,129 participants were evaluated using one-way analysis of covariance to evaluate differences in initial distress as measured by the Outcome Questionnaire–45, and hierarchical linear modeling to explore recovery trajectories. Clients with eating and body image concerns reported higher general distress at intake (Cohen’s d between 0.48 and 0.95) and were found to recover less quickly. They were also significantly less likely to reach clinically significant criteria for recovery (odds ratio [OR] = 0.69), less likely to achieve reliable positive change (OR = 0.77), and more likely to experience no change or deterioration (OR = 1.33 and OR = 1.29). A thorough initial eating disorder assessment is recommended to aid with treatment planning and addressing eating-disorder-specific symptoms directly and early.
Searching Optimal Welding Parameters with GA and BP

Traditional method used to determine best welding parameters is depended mainly on experience and is lack of precision. So a new hybrid method combined GA with BP to search proper arc-welding parameters automatically is proposed here, the main contents are described as follows. Testing schema is designed according to orthogonal form, data used for later work are obtained at first; then a BP neural network which is treated by GA is used to simulate welding procedure, special combination method of GA and BP is introduced in detail according to practical problem; in the third, GA is used for globally searching with the help of BP network gotten above. Because the standard GA algorithm aims at global optima, which may lead to negative welding parameters sometimes, an adaptive penalty coefficient is put into use during heredity operation and satisfied parameters are found out at last. Results manifest the correctness and effectiveness of this method. Method used here can also be put into use in similar optimizing problem.
Assessing the Occurrence of Blocking Operations in Database Schema Evolution: A Case Study

During the evolution of a database schema, some schema-changing operations (e.g., the “ALTER TABLE” command) require the underlying database management system to lock tables until the opera-tion is finished. We call these schema-changing operations blocking operations. During the execution of blocking operations, a soft-ware application may behave abnormally, varying from a slow page loading to an error caused by a web request taking too long to return. Despite their potential negative impact on important qual-ity attributes, blocking operations have not yet been empirically investigated in the context of software evolution. To fill this gap, we conducted a large industrial case study in the context of a Brazilian software company. We analyzed 1,499 atomic schema-changing operations from a period of 6 years to explore which blocking operations the developers frequently performed during the evolution of the database schema of a target system. The intention behind this case study is better understanding the problem in its original context to outline strategies to correct or mitigate it in the future. Our results show that blocking operations were very common, though not all of them seemed to cause observable downtime periods. We also present some mitigating strategies already in use by the devel-opment team of the target system to cope with blocking operation during software evolution, avoiding their negative impact.
Marsbot: A monopod robot capable of achieving three-dimensional dynamic and stable jumping

Continuous, stable and accurate jumping in three-dimensional (3D) environment is one of difficulties of jumping robot research. In this paper, a monopod jumping robot Marsbot whose center of mass (CoM) can accurately reach desired positions in 3D space is designed. Based on the spring loaded inverted pendulum (SLIP) dynamics model, the take-off velocity control of Marsbot was realized, which made controllable continuous jump possible. Based on the reaction wheel pendulum (RWP) dynamics model and the law of conservation of angular momentum, the real-time 3D attitude control of Marsbot with three inertial tails was realized. By integrating SLIP model, RWP model and the post-landing steering strategy proposed in this paper, a continuous jump algorithm for CoM of Marsbot to accurately reach desired 3D positions is proposed. This paper proposes the air target grasping strategy of Marsbot (the author will elaborate on this issue in another article): When the robot jumps to the desired grasping position in the air, the robotic arm can quickly and stably grasp the target object such as tree branches, so that the robot can perch or hang on the target object, and get a good view from high place. The simulation results show that Marsbot can achieve continuous, stable, accurate jumping and realize air perching/observation operations through the above schemes. The simulation results also verify feasibility of the 3D jump dynamics model and its control algorithm proposed in this paper.
Fringe stabilizers and their application to telecommunication device manufacturing

The ability to create stable holographic grating is an important part of the production of many telecommunication products. The stability problem is increased by the need to use ultra-violet light for close fringe spacing and long exposure times on phot-resist - a relatively low sensitivity material. Active fringe locking increases the modulation depth and efficiency of these holographic gratings. A discussion of how fringe lockers work and how they can be incorporated into a manufacturing set-up is followed by results of using fringe lockers in the manufacturing of some telecommunication devices.
Ventilation Structure Improvement of Induction Motor Using Multiphysics Simulations

Temperature rise analysis has significant impact in the design of air-cooled asynchronous induction motor. However, the affection cannot be accurately evaluated by using traditional empirical curves method due to the complexity of the inductor architecture. Considering Joule’s losses in stator windings and the induced eddy current in squirrel cages, and heat dissipation by air convection and solid conduction, in this paper a 3-D coupled-field finite-element method (FEM) is investigated to demonstrate the temperature distribution. The Joule’s losses calculated by 3-D eddy- current field analysis are used as the input for the thermal field analysis, which is deeply dependent on accurate air fluid field analysis. A novel multi-component fluid model is employed to deal with the influence of rotor rotation upon the air convection. The simulation results show the fatal influence of the ventilation structure and the effectiveness of the proposed cooling improvement way. DOI: http://dx.doi. org/10.11591/telkomnika.v10i3. 605
3D Printing in Drug Delivery and Biomedical Applications: A State-of-the-Art Review

Personalized medicines are gaining popularity day by day as they empower patient genomics and assist in improved drug design with minimum side effects. Various dosages can be combined into one dose that fits the patient’s requirements. For this purpose, 3D printing is a new technology to produce medicine based on patient needs. It utilizes controlled devices to prepare active pharmaceutical ingredients (API) in a layer-wise fashion to develop an appropriate tailored drug transport structure. It contains numerous methods, including inkjet printing and fused deposition modeling. For this purpose, scientists have used various materials, including polyvinyl alcohol, polylactic acid and polycaprolactone. These materials have been applied to design and develop forms that are suitable for tuning the drug release. Different forms of dosages, including tablets (immediate and pulsatile release) and transdermic dosages, can be produced using the 3D printing technique. Furthermore, the 3D printing technique can also be used to prepare customized medicines to treat life-threatening diseases. In the case of patients needing various medicines, a 3D printer can be used to design and manufacture only one dosage incorporating different medicines. This article reviewed 3D printing utilization for customized medicines based on one’s needs. Various methods and materials used in medicine 3D printing were discussed with their applications.
Matrix Representation and Prediction of Three-Dimensional Cutting Forces

Matrix geometry techniques are applied to predicting three-dimensional cutting forces. In the present model a specific cutting plane is located and two-dimensional metal cutting theory is applied. Force predictions in this plane are then matrix transformed to three orthogonal forces acting on the cutting tool. Experimental results show the matrix model accurately predicts three-dimensional cutting forces in turning of long slender workpieces. Experimental results are also compared to other analytical models described in the literature.
To Sink or Swim: Evaluating Coastal Archaeological Stability through a System of Indices

ABSTRACT Archaeological resources in the coastal zone are subjected to a variety of cultural, social, and environmental conditions that affect a site’s stability, which can be defined in physical (e.g. structure, geophysical environment), sociocultural (e.g. looting, vandalism), and regulatory (e.g. federal, state, and local mandates) terms. To effectively manage resources within this dynamic environment requires a holistic understanding of what drives stability (or instability) at each site. The systematic development of indices for archaeological site stability aggregates a large number of complex conditions, both drivers and pressures, into a smaller set of key indicators that can be used to evaluate site stability, and to monitor changes over time. This system of indices provides an integrated framework for evaluation of site-specific stability that allows for adaptive management and the prioritisation of resources (e.g. funding, time, staff).