Miracle-dz/UniFAR-FTUs huggingface dataset:
Breast Cancer Detection and Classification using Deep Learning Xception Algorithm

—Breast Cancer (BC) is one of the leading cause of deaths worldwide. Approximately 10 million people pass away internationally from breast cancer in the year 2020. Breast Cancer is a fatal disease and very popular among women globally. It is ranked fourth among the fatal diseases of different cancers, for example colorectal cancer, cervical cancer, and brain tumors. Furthermore, the number of new cases of breast cancer is anticipated to upsurge by 70% in the next twenty years. Consequently, early detection and precise diagnosis of breast cancer plays an essential part in enhancing the diagnosis and improving the breast cancer survival rate of patients from 30 to 50%. Through the advances of technology in healthcare, deep learning takes a significant role in handling and inspecting a great number of X-ray, Magnetic Resonance Imaging (MRI), computed tomography (CT) images. The aim of this study is to propose a deep learning model to detect and classify breast cancers. Breast cancers has eight classes of cancers: benign adenosis, benign fibroadenoma, benign phyllodes tumor, benign tubular adenoma, malignant ductal carcinoma, malignant lobular carcinoma, malignant mucinous carcinoma, and malignant papillary carcinoma. The dataset was collected from Kaggle depository for breast cancer detection and classification. The measurement that was used in the evaluation of the proposed model includes: F1-score, recall, precision, accuracy. The proposed model was trained, validated and tested using the preprocessed dataset. The results showed that Precision was (97.60%), Recall (97.60%) and F1-Score (97.58%). This indicates that deep learning models are suitable for detecting and classifying breast cancers precisely.
Research on the Prediction System of Event Attendance in an Event-Based Social Network

In recent years, an event-based social network recommendation system has attracted more and more researchers’ attention. Most EBSN recommendation systems mainly focus on recommending events to users. However, in many daily activities, it is necessary to accurately estimate the number of event participants for EBSN event organizers. As an effective means to solve the problem of event attendance prediction, the EBSN event attendance prediction system needs to mine the context information in EBSN fully and use the information to alleviate the problems of data sparsity and cold start. It brings some new challenges to the research of EBSN event attendance prediction systems. According to user characteristics and context factors, the main task of the EBSN event attendance prediction system is to obtain accurate user preferences, adopt efficient prediction algorithms to improve prediction performance, and avoid losses. This paper summarizes the research progress of the EBSN event attendance prediction system in recent years. Firstly, this paper analyzes the recent research on event attendance prediction in EBSN; secondly, we summarize the role, significance, and challenges of EBSN event attendance prediction; third, we summarize the critical technologies of EBSN event attendance prediction; the contents include mining the contextual information that affects the user’s participation in the event, user preference acquisition, the method of event attendance prediction, the data set of event attendance prediction, the evaluation indicators of event attendance prediction, etc.; fourth, we look forward to the future development directions of event attendance prediction from six aspects: the methods of integrating contextual factors, the user preference acquisition methods, the prediction algorithms, the utility evaluation of event attendance prediction, the user information security, and privacy protection, and the cold start issues; finally, we conclude this paper.
Accessing Labour, Resources and Institutions: Women Laborers in Brick Kiln of Jamune Bhanjyang, Tanahun , Nepal

The key argument of this paper is that the changing nature of women’s involvement in non-agricultural labor force has added a critical dimension in the development process of Nepal. This relationship between involvement and development has been affected by nature of women’s employment, education, family responsibility and state policy. The major objective of this paper is to analyze critical issues, condition, tribulations and options associated with the livelihoods of women labourers working in brick kiln. For meeting the objectives, qualitative and quantitative data from both primary and secondary sources were used. Primary data were collected via self administered questionnaire, interview, observation and case study. The study findings reveal that due to poverty, low education and skills, many rural women are concentrated in low-skilled and low-paid employment in urban brick kilns where they suffer from gender discriminations, exploitations and male chauvinism in salary, working hours, promotion and facilities. Gender relation has been foremost in determining control over and access to labour, resources, institutions and services. Hence, understanding the different role of women and men is critical to understanding how that system affects women labour, reward, punishment, productivity and sustainability in brick kilns. Policies should consider women labourers easy access to education and information on their rights, as well as supportive institutions and legal measures to ensure their safety, gender rights and encourage private sector development in rural areas that can increase job opportunities for rural women hence reducing their brisk migration to urban areas for job. Janapriya Journal of Interdisciplinary Studies , Vol. 5 (December 2016), page:56-74
Gaseous cavitation characteristics of high-speed hydraulic electric motor-pump based on centrifugal pressurization: A numerical study

Hydraulic electric motor-pump is an integrated hydraulic power unit, raising rotational speed will further increase its power density. However, gaseous cavitation at high speed is the primary problem to be solved. In the present study, a new but simple centrifugal pressurization structure that integrated with the hollow shaft of hydraulic electric motor-pump was proposed to increase the inlet pressure of conjugated straight-line internal gear pump, and then to suppress gaseous cavitation at high speed. The numerical simulation is the main means of this work to investigate the gaseous cavitation characteristics of high-speed hydraulic electric motor-pump. In addition, a common conjugated straight-line internal gear pump model was developed as a reference to evaluate the pressurization effect of centrifugal tubes in terms of gas volume fraction. The simulation results present that compared with the significant increase of the suction chamber pressure of conjugated straight-line internal gear pump due to increasing the inclined angle of centrifugal tubes, the blocking effect of its inside wall to the fluid flow can be ignored. Under the same gas volume fraction in rotating volume, the rotational speed of hydraulic electric motor-pump is much higher than conjugated straight-line internal gear pump due to the pressurization effect of centrifugal tubes. On the premise of no obvious gaseous cavitation of centrifugal tubes, the recommended speed of hydraulic electric motor-pump is up to 13,000 r/min.
Gap-labeling des pavages de type pinwheel

Dans cette these, nous montrons que le groupe de K-theorie $K_0$ de la $C^*$-algebre associee aux pavages de type pinwheel est isomorphe a la somme de $\ZZ \oplus \ZZ^6$ et d'un groupe cohomologique $H$. \\ Cette $C^*$-algebre est de plus munie d'une trace qui induit une application lineaire sur ce groupe de $K$-theorie. \\ Nous calculons explicitement l'image, sous cette application, du sommant $\ZZ \oplus \ZZ^6$, montrant que l'image de $\ZZ$ est nulle et que l'image de $\ZZ^6$ est contenue dans le module de frequences des patchs du pavage de type pinwheel. \\ Nous montrons egalement que l'on peut appliquer le theoreme de l'indice mesure du a A. Connes pour relier l'image de $H$ a une formule cohomologique plus calculable. \\ Pour l'etude de cette partie cohomologique, nous adaptons la cohomologie PV, introduite par J. Savinien et J. Bellissard, au cas des pavages de type pinwheel pour montrer que le groupe de cohomologie de \v{C}ech de dimension maximale de ces pavages est isomorphe au groupe des coinvariants entiers de la transversale canonique associee a ces pavages. \\ Ce resultat nous permet alors de prouver la conjecture du gap-labeling fait par J. Bellissard, dans le cas particulier des pavages de type pinwheel. \\ Nous terminons cette etude par un calcul explicite, montrant que le gap-labeling (ou module de frequences des patchs) est donne par $\frac{1}{264}\ZZ \left [ \frac{1}{5} \right ]$.
SpectroGLY: A Low-Cost IoT-Based Ecosystem for the Detection of Glyphosate Residues in Waters

Glyphosate contamination in waters is becoming a major health problem that needs to be urgently addressed, as accidental spraying, drift, or leakage of this highly water-soluble herbicide can impact aquatic ecosystems. Researchers are increasingly concerned about exposure to glyphosate and the risks its poses to human health, since it may cause substantial damage, even in small doses. The detection of glyphosate residues in waters is not a simple task, as it requires complex and expensive equipment and qualified personnel. New technological tools need to be designed and developed, based on proven, but also cost-efficient, agile, and user-friendly, analytical techniques, which can be used in the field and in the lab, enabled by connectivity and multiplatform software applications. This article presents the design, development, and testing of an innovative low-cost visible and near-infrared (VIS-NIR) spectrometer (called SpectroGLY), based on Internet of Things (IoT) technologies, which allows potential glyphosate contamination in waters to be detected. SpectroGLY combines the functional concept of a traditional lab spectrometer with the IoT technological concept, enabling the integration of several connectivity options for rural and urban settings and digital visualization and monitoring platforms (Mobile App and Dashboard Web). Thanks to its portability, it can be used in any context and provides results in 10 min. Additionally, it is unnecessary to transfer the sample to a laboratory (optimizing time, costs, and the capacity for corrective actions by the authorities). In short, this article proposes an innovative, low-cost, agile, and highly promising solution to avoid potential intoxications that may occur due to ingestion of water contaminated by this herbicide.
Comparison of Image Enhancement Algorithms for Improving the Visual Quality in Computer Vision Application

—Computer vision has its numerous real-world applications on Visual Object Tracking which includes human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security, human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security. The factors affecting the tracking process is due to low illumination, haze and cloudy environment and noisy environment. In this paper, we aim to extensively review the latest trends and advances in adaptive enhancement algorithm and evaluate the performance using Full reference like, SSIM (Structure Similarity Index Measure), MS-SSIM (Multi-scale Structure Similarity Index Measure), ESSIM (Edge Strength Structural Similarity Index), FSIM (Feature Similarity Index Measure), VIF (Visual Information Fidelity), CW-SSIM (complex wavelet structural similarity), UQI (Universal Quality Index), IEF (Image Enhancement Factor), IQI (Image Quality Index), EME (Enhancement Measurement Error), CVSI (Contrast and Visual Salient Information), MCSD (Multiscale contrast similarity deviation), NQM (Noise Quality Measure), Gradient Magnitude Similarity Mean (GMSM), Gradient Magnitude Similarity Deviation (GMSM) and no-reference image quality measures Perception based Image Quality Evaluator (PIQE), Blind/Reference less Image Spatial Quality Evaluator (BRISQUE), Naturalness Image Quality Evaluator (NIQE), Average Gradient (AG), Contrast, Information Entropy (IE), Lightness order Error (LOE). The main purpose of adaptive image enhancement is to smooth the uniform area and sharpen the border of an image to improve its visual quality. In this paper, fourteen image enhancement algorithms were tested on LoL dataset to benchmark the time taken to process them and their output quality was evaluated. Results from this study will give insights to image analysts for selecting image enhancement algorithms which acts as a pre- processing stage for Visual object Tracking.
Thermal Stability Analysis and Optimal Design for a Two-Dimensional Angle Sensor

A compact two-dimensional angle sensor with a measurement resolution that exhibits superior sensitivity has been designed based on the autocollimator principle to enable the precision measurement field to measure the pitch and yaw error motions of a moving object. The signal drift of this sensor affects the measured angle and is mainly caused by the change in environmental temperature. To improve the thermal stability of the sensor, computer simulation has been conducted using the finite element analysis software ANSYS 16. Simulation results show that the angle sensor is considerably stable to adopt mechanisms with a symmetrical structure. Thus, a modified optimal angle sensor is developed, and its thermal stability has been verified via contrast experiments. Compared with the original sensor, the average drift of the optimized angle sensor is reduced from 0.430 arcsec∕°C to 0.120 arcsec∕°C when the variation of the environmental temperature is 5 °C. The optimal angle sensor is ideal for high-precision measuring equipment.
Hydrodynamics of a black brane in Gauss–Bonnet massive gravity

A black brane solution to Gauss–Bonnet massive gravity is introduced. In the context of AdS/CFT correspondence, the viscosity to entropy ratio is found by the Green–Kubo formula. The result indicates a violation of the well-known KSS bound, as expected in a higher derivative theory. Setting mass zero gives back the known viscosity to entropy ratio dependent on the Gauss–Bonnet coupling, while without the Gauss–Bonnet term, a nonzero mass parameter does not contribute to the ratio which saturates the bound of 1 4 π . >
Enabling efficient rate and temporal coding using reliability‐aware design of a neuromorphic circuit

Reliability aspects such as bias temperature instability (BTI) and hot carrier injection (HCI) affecting devices in advanced CMOS‐based technology have been the subject of active research in recent decades. Due to these reliability issues, various digital and analog circuits were investigated for degradation. However, circuit blocks like the neuron circuits of neuromorphic systems are not fully explored. This work is inclined toward examining the collective degradation impact of BTI and HCI due to aging in an adaptive exponential “integrate and fire” (I&F) model‐based, neuromorphic neuron circuit. Detailed degradation analysis of the stimulated neuron circuit aided in identifying possible mismatches/faults associated with neuron spikes. These factors could reduce the efficiency of the neuronal circuit by potentially affecting the transmission of information in a neuromorphic system. Various performance parameters were then derived to quantify the extent of circuit deterioration. The proposed reliability‐aware design aims to improve the circuit degradation through its effectiveness in alleviating the overall reliability impact. It demonstrates enhanced circuit operation in spike generation even after aging. The circuit performance is validated through simulations at “Time0” (pre‐degradation) and “Aged” (post‐degradation) neuron netlists, which is then compared with the proposed reliability‐aware circuit.
The Influence of Roughness on Experimental Fault Mechanical Behavior and Associated Microseismicity

Fault surfaces are rough at all scales, and this significantly affects fault‐slip behavior. However, roughness is only occasionally considered experimentally and then often in experiments imposing a low‐slip velocity, corresponding to the initiation stage of the earthquake cycle. Here, the effect of roughness on earthquake nucleation up to runaway slip is investigated through a series of dry load‐stepping biaxial experiments performed on bare rock surfaces with a variety of roughnesses. These laboratory faults reached slip velocities of at least 100 mm/s. Acoustic emissions were located during deformation on bare rock surfaces in a biaxial apparatus during load‐stepping experiments for the first time. Smooth surfaces showed more frequent slip instabilities accompanied by slip bursts and larger stress drops than rough faults. Smooth surfaces reached higher slip velocities and were less inclined to display velocity‐strengthening behavior. The recorded and localized acoustic emissions were characterized by a greater proportion of large‐magnitude events, and therefore likely a higher Gutenberg‐Richter bGR‐value, for smoother samples, while the cumulative seismic moment was similar for all roughnesses. These experiments shed light on how local microscopic heterogeneity associated with surface topography can influence the macroscopic stability of frictional interfaces and the associated microseismicity. They further provide a laboratory demonstration of roughness' ability to induce stress barriers, which can halt rupture, a phenomenon previously shown numerically.
The Development of Economic Right Principle Implementation of Trademark Right in The Covid-19 Pandemic Era

The pandemic of Covid-19 that struck since beginning of 2020 had an enormous impact to the whole states in the world including Indonesia. The pandemic was bring worst influences to the economic and trading. The deadly disease automatically was paralyze an economy and trading. It is caused by restriction of people to drive and influences the product movement. Temporarily, export-import activities delayed as restriction of transportation entry among the states. Finally, Indonesia forced close for in and out flight of territory. The situation influence to the implementation of Economic Right of trademark right attach to the import and export products in Indonesia. By the reasons, the study categorized by, first, the development of Economic Right principle implementation of trademark right in the pandemic era. Secondly, the challenge and effort an implementation of Economic Right principle of trademark right in trading at pandemic era. The study uses normative law method by literature study of related material and the data analysis uses qualitative. According of Act No. 20 of 2016, involves Trademarks and Geographical Indications, the trademark right is an exclusive one granted by the state to the owner for a registered brand for a certain period by using the mark or giving permission to other parties for it. However,it is difficult in current conditions to introduce a new trademark to society amid a weak economic situation so that most recognized trademark will be better able to survive amid the economic downturn in the covid-19 pandemic era. The situation result in violation of trademark ownership when a product is given a label from a previously brand so that a lawsuit can be filed. An interested party may file a lawsuit for the cancellation of a registered trademark and the cancellation submitted to the Commercial Court against the owner of the registered trademark.
Optimization, and Characterization of Acid-Activated Bentonite

- The acid-activated bentonite clay is a low-cost adsorbent. This adsorbent was prepared using sulfuric acid reflux and was used for lead removal from wastewater resulting from batteries industries. RSM was used to optimize results, seventeen experimental runs were obtained for the production of activated bentonite clay at different variables of time (15-45min), the concentration of sulfuric acid (25-45%), and liquid to the solid ratio 3-5 (ml/g). The results of response surface models of the adsorbent production together with the effect and optimization of the process parameters were discussed. The predicted maximum adsorption capacity for activated bentonite clay was 2.887 mg/g at a time of 15 minutes, the liquid to solid ratio of 3 (ml/g) & H 2 SO 4 concentration of 40.973 %. The results from the characterization techniques (BET, TGA, FTIR, and XRD) were obtained and discussed. The adsorbent produced from bentonite showed good adsorptive properties and thermal stability. The analysis revealed that there is a rise in the specific surface area of the activated bentonite clay compared to that of the raw bentonite clay (from 41.7065 to 49.227 m²/g).
Sigesbeckia orientalis Extract Ameliorates the Experimental Diabetic Nephropathy by Downregulating the Inflammatory and Oxidative Stress Signaling Pathways

Diabetes in children and its complications are on the rise globally, which is accompanied by increasing in diabetes-related complications. Oxidative stress and inflammation induced by elevated blood sugar in diabetic patients are considered risk factors associated with the development of diabetes complications, including chronic kidney disease and its later development to end-stage renal disease. Microvascular changes within the kidneys of DM patients often lead to chronic kidney disease, which aggravates the illness. Sigesbeckia orientalis extract (SOE), reported to have strong antioxidative and excellent anti-inflammatory activities, is used in the modern practice of traditional Chinese medicine. Kidneys from three groups of control mice (CTR), mice with streptozotocin (STZ)-induced diabetes (DM), and mice with STZ-induced DM treated with SOE (DMRx) were excised for morphological analyses and immunohistochemical assessments. Only mice in the DM group exhibited significantly lower body weight, but higher blood sugar was present. The results revealed more obvious renal injury in the DM group than in the other groups, which appeared as greater glomerular damage and tubular injury, sores, and plenty of connective tissues within the mesangium. Not only did the DM group have a higher level of cytokine, tumor necrosis factor, and the oxidative stress marker, 8-hydroxyguanosine expression, but also factors of the nuclear factor pathway and biomarkers of microvascular status had changed. Disturbances to the kidneys in DMRx mice were attenuated compared to the DM group. We concluded that SOE is an effective medicine, with antioxidative and anti-inflammatory abilities, to protect against or attenuate diabetic nephropathy from inflammatory disturbances by oxidative stress and to cure vessel damage in a hyperglycemic situation.