Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiple instance learning for classifying histopathological images of the breast cancer using residual neural network

Digital histopathological images have complex textures and high variability. Thus, classifying histopathological images requires an accurate classification and recognition of the tissue components in these images. In this article, we propose a novel classification layer based on multiple instances learning (MIL). In regular convolutional neural network (CNN) a flatten or a global pooling layer is used before the fully connected layers. However, in our proposed layer, we consider each last feature map in the network as an instance that will be classified by the output layer. Then, an aggregation function will be applied to get the class of the image (bag). This mapping helps the model to classify each feature independently to catch the micro‐objects of the complex tissue images. Also, our method succeeded in achieving high accuracy without the preprocessing of the images with color normalization, stain normalization, or any other techniques. Additionally, we trained our models in two different strategies. The first one is by combining the images from all the magnification factors, and the second is by training a model for each magnification factor. We show in this work that our model outperforms several previous works on breast cancer classification.
PMT overshoot study for the JUNO prototype detector

The quality of PMT signals is crucial for large-size and high-precision neutrino experiments, but most of these experiments are affected by the overshoot of PMT signals from the positive HV-single cable scheme. Overshoot affects the trigger, dead time and charge measurement from a detector. For the JUNO prototype detector, we have performed a detailed study and calculation on PMT signal overshoot to control the ratio of overshoot to signal amplitude to ~1%, with no effect on other PMT parameters.
The Effect of Fault Roughness and Earthquake Ruptures on the Evolution and Scaling of Fault Damage Zones

Fault damage zones dominate the mechanical, hydraulic and seismological properties of faults yet the relative contributions from processes leading to their development and growth is obscure. In this study, we investigate the damage development related to slip on rough faults and passage of earthquake ruptures. We compare the cumulative damage with slip and damage distribution from numerical models against field data from exhumed faults with slip less than 3.5 m within the Atacama Fault Zone in northern Chile. Models are constrained by experimentally determined mechanical properties of the host rock. We perform simulations of damage accumulation during quasistatic slip on rough faults and during sequences of earthquakes on planar and rough faults governed by rate and state friction laws. Both sets of simulations include Drucker–Prager rheology of the bulk to identify off‐fault damage where the yield stress is exceeded. Our results indicate that the extent and distribution of damage depend on the characteristics of fault roughness, amount of slip, and, when present, the intensity and variability of dynamic ruptures. When typical values for fault roughness are used, the scaling of damage zone width versus slip during quasistatic slip is comparable to that observed in the field data. Earthquake rupture on smooth faults by itself does not explain the field data. Simulations of earthquake sequences on rough faults leads to significantly larger damage zone widths with slip than that observed in the field data, suggesting the development of damage for small displacement is dominated by quasistatic slip on rough faults.
Dealing With Conflicting Values in Policy Experiments: A New Pragmatist Approach

Despite the “turn to values” in Public Administration, there is still a lack of empirical research in situ that investigates how various stakeholders in interaction develop strategies to deal with conflicting values over time. By using a new pragmatist approach, this article fills in this gap by investigating policy experiments in Dutch healthcare. The results show how professionals, citizens, and policymakers differently valued the worth of policy experiments, which manifested itself in multiple value conflicts. To deal with these conflicts, stakeholders adopted different strategies: colonization, compromising, prioritization, short-cutting, organizational enmeshing, and pilotification. The results show a shift from exclusive top-down strategies to inclusive multi-value strategies over time.
Circ_0003645 serves as miR-335-5p sponge to promote the biological process of diffuse large B-cell lymphoma by upregulating NFIB

Abstract Background Circular RNAs (circRNAs) are critical regulators for the development of many tumours, including diffuse large B-cell lymphoma (DLBCL). However, the role and mechanism of circ_0003645 in DLBCL progression remains obscure. Methods Quantitative real-time PCR was performed to measure the expression of circ_0003645, microRNA (miR)-335-5p and nuclear factor I/B (NFIB). Cell viability, apoptosis and cell cycle were measured by cell counting kit 8 assay and flow cytometry. Protein expression was assessed using western blot analysis, and cell glycolysis was evaluated by detecting glucose consumption and ATP/ADP ratios. Besides, dual-luciferase reporter assay and RIP assay were used to confirm RNA interaction. Results Our data showed that circ_0003645 expression was significantly upregulated in DLBCL tumour tissues. After circ_0003645 knockdown, the viability, cell cycle and glycolysis of DLBCL cells were inhibited, while cell apoptosis was promoted. MiR-335-5p could be sponged by circ_0003645, and NFIB was confirmed to be a downstream target of miR-335-5p. Function analysis revealed that anti-miR-335-5p reversed the regulation of si-circ_0003645 on DLBCL cell progression, and NFIB overexpression also abolished miR-335-5p-mediated the biological functions of DLBCL cells. Conclusion The present study revealed that circ_0003645 promoted the proliferation and glycolysis of DLBCL cells by the miR-335-5p/NFIB axis, which might provide a novel insight for DLBCL treatment.
Board Size, Board Process, and Board Performance: Empirical Evidence from Pacific Island Countries

This paper argues that board size decisions should be based on a sound understanding of how board size influence board processes which in turn affect board performance. The paper applied mediation analysis to show how the size of boards in Pacific Islands Countries indirectly affects board performance through board processes. The study found that increasing board size for relatively medium or large-sized boards indirectly reduced board performance through its effect on the processes of effort norms, cognitive conflict, and use of knowledge and skills. Overall, the findings confirm the role of board process as an important mediator in the relationship between board size and board performance, which therefore should be taken into account in board appointment decisions to improve board performance in PICs enterprises.
ANALISIS PRELIMINERY RESEARCH PHASE MENGGUNAKAN MODEL PENGEMBANGAN PLOMP SEBAGAI DASAR PENGEMBANGAN MODUL BELAJAR DAN PEMBELAJARAN PENDIDIKAN BIOLOGI BERMUATAN HASIL RISET UNTUK MAHASISWA

The purpose of this study is to describe the preliminery research phase data obtained as a basis for the development of learning and learning modules containing research results that will be developed later. The development model used in this study is the Plomp model which has been carried out until the initial investigation data stage. Preliminary investigation data revealed some initial findings including; analyzing the Semester Learning Plan (RPS), interviews with learning and learning lecturers in the Biology Education Study Program FKIP Riau Islamic University, student questionnaire problems in conducting learning and learning lectures, student needs questionnaire in learning and learning lectures, and analysis of learning and learning modules used in learning and learning teaching materials previously in learning and learning lectures. The results revealed in the analysis of the Semester Learning Plan (RPS) there were thirteen topics in learning and learning. The results of interviews conducted with lecturers in learning and learning courses also revealed obstacles in the implementation of learning and learning lectures, one of which was the lack of student references to study learning and learning. Student problem questionnaire revealed that students do not yet have a learning and learning module with a percentage of 13.71%. Student needs questionnaire revealed that students strongly agree the need to develop learning and learning modules containing research results with a percentage of 100%. The learning and learning module that has been used in the learning process does not meet the standards of the Ministry of Research, Technology, and Higher Education Directorate General of Learning and Student Affairs Directorate of Learning in 2017. The conclusion of this study is the need to develop learning and learning modules containing research results for biology students to help the lecture process in the classroom.
Development of differential scheme micromechanics modeling framework for predictions of hot-mix asphalt (HMA) complex modulus and experimental validations

The viscoelastic modulus of hot-mix asphalt (HMA) such as the complex modulus, E*, is an essential material parameter for better paving mixture design and asphalt pavement design. Under certain circumstances, it is desirable that a reasonable modulus value of certain HMA mixtures be estimated for this purpose. Empirical and semi empirical models have been proposed and used. However, these non-fundamental approaches have significant drawbacks, particularly with application of the model for materials that vary from those used in the calibration of the model, and their reliance on large calibration data sets, which led to introducing some fuzzy factors in their predictions. In order to overcome the limitations of an empirical approach, a fundamental micromechanics modeling framework based on the differential scheme effective medium theory has been developed and introduced herein. To verify and validate the prediction accuracy and applicability, a series of various asphalt-aggregate mixtures starting from the homogeneous asphalt binder phase up to a very highly packed composite of dense HMA mixtures were produced in the lab by progressively increasing the aggregate volume concentration in the composite from 0 to nearly 0.9. These various mixtures were tested in the Hollow Cylinder Tensile Tester (HCT) to obtain the extensional complex modulus (E*) at three low temperatures within -25 to 5 C range and at various loading frequencies from 10 Hz to 0.01 Hz. Comparisons between the model predicted E* and the experimental E* showed good agreement with reasonable accuracies. Remaining challenges for the practical implementation of the proposed model such as the applicability at intermediate to high temperature materials property prediction and particle orientation effects were discussed based on the analysis and additional model predictions for an independent experimental data set.
Developing of a social-cognitive treatment program for anxiety disorders and evaluation its effectiveness on symptoms of social anxiety

Tahereh Najafi Fard Hamid Alizadeh*, Mohammad Asgari, Ahmad Borj'ali 1. Ph.D. Student of Psychology and Education of Exceptional Children, Faculty of Psychology and Educational Sciences, Allameh Tabataba'i University, Tehran, Iran 2. Professor, Department of Psychology and Education of Exceptional Children, Faculty of Psychology and Educational Sciences, Allameh Tabataba'i University, Tehran, Iran 3. Associate Professor, Department of Assessment and Measuring, Faculty of Psychology and Educational Sciences, Allameh Tabataba'i University, Tehran, Iran 4. Professor, Department of Clinical Psychology, Faculty of Psychology and Educational Sciences, Allameh Tabataba'i University, Tehran, Iran
Participation of Citizens in Public Financial Decision-Making in Serbia

Participation in the local public finance decision-making process in Serbia is not a new concept as it was implemented even during the ‘Titoistic’ period. However, direct participation is still in an infant phase altogether with the low interest of citizens in participating in local financial decision-making procedures. The aim of this paper is to explain the main types of civic participation in the local financial decision-making process (i.e., referendum voting on self-imposed contribution, participatory budgeting, and civic crowdfunding) and to focus on the main factors that lead to a low participation of citizens in such processes. Additionally, the article analyses how these factors affect general mistrust in politics and society. For this purpose, a total of N=421 citizens were interviewed. Using the principal component analysis, the following three main components for low participation were defined: 1) lack of knowledge, 2) lack of interest, and 3) lack of political will. Thereafter, using the regression analysis, the study confirmed that the first two components are statistically significant predictors for mistrust in politics and society.
The parameters of gas discharge visualization (biophotonics) correlated with parameters of acupuncture points, EEG, HRV and hormones

Background. Previously we have been shown that exist strong canonical correlation between parameters of GDV and principal neuroendocrine factors of adaptation as well as parameters of leukocytogram, immunity and phagocytosis. This study, conducted on a much expanded contingent, will analyze the relationships between GDV parameters, on the one hand, and the parameters of acupuncture points (APs), EEG, HRV and adaptation hormones, on the other. Material and Methods. We observed twice 31 women and 29 men aged 26-76 years with dysfunction of neuroendocrine-immune complex. In the morning in basal conditions at first registered kirlianogram by the method of GDV by the device “GDV Chamber” (“Biotechprogress”, SPb, RF). Than we registered simultaneously EEG and HRV and recorded electrical conductivity of three pairs of Aps. Finally, a blood sample was taken to determine the plasma levels of the main hormones of adaptation: cortisol, testosterone and triiodothyronine. Results processed by method of canonical analysis, using the software package “Statistica 64”. Results. The coefficient of canonical correlation between the electrical conductivity of APs and gas-discharge image (GDI) parameters is 0,635; between APs and virtual Chakras parameters – 0,614; instead, between APs and GDV parameters as a whole – 0,707. The autonomic-endocrine constellation is somewhat more strongly associated with GDI parameters than with virtual Chakras parameters (0,769 vs 0,712). Additional inclusion of EEG parameters in the neuroendocrine set increases the strength of the canonical correlation to 0,869. Conclusion. The above data, taken together with the previous ones, state that between parameters of neuroendocrine-immune complex and GDV exist strong canonical correlation suggesting suitability of the latter method.
The Effect of Using Gadgets on The Level of Learning and Spirituality of Students During The Covid-19 Pandemic

Talking about education is certainly closely related to the generation of students. If we look at the current state of education, especially the quality that exists within students, it is very concerning. Cellphones that should be used for learning in schools are now only limited to playing games. Not a few students want to read textbooks, because they are busy reading chats from their girlfriends. Not even a few studens go to the mosque to perform Dhuha prayers and Fardhu prayers because they are busy tik-tokan. Generations of students are starting to spend a lot of time in front of gadgets. The generation that Allah says in the Qur’an as the Khoiru Ummah, is now a rare thing to see.The purpose of this study was to interpret the influence of gadgets on the level of learning and spirituality of students during the covid-19 pandemi. This research is a type of qualitative research with a qualitative descriptive research approach. Data collection techniques used are observation methods, documentation methods and interview methods. The data analysis technique used is Milles, Huberman and Saldana with the stages of data collection, data condensation, data presentation and drawing conclusions. The results showed that the influence of gadgets on the level of student learning, greatly decreased. Likewise, the level of spirituality of students during the Covid-19 pandemi, is very low. This is evidenced by the teachers who teach students at Madrasah every day, as well as student learning outcomes when doing daily tests and when doing assignments both at school and at home.
Surge Propagation of PWM-Inverter and Surge Voltage on the Motor

The use of PWM-inverter with high switching characteristics to provide the variable frequency supply to motors causes the overvoltage with steep-fronted waveform on the moter terminals.Insulation failure in motor winding can be caused by this steep-fronted transient voltage in inverter drive system. From the point of view of the wave propagation with skin-effect of the cable conductors, these phenomena are not reported in the papers. The main purpose of this paper is to describe the exact surge propagation into consideration of skin-effect of the cable conductors and the wave deflections at inverter and motor terminals.
Modulation of lymphatic transport in the central nervous system

Over the past decade, repeated studies demonstrated that the vertebrate brain had a specialized lymphatic transport pathway, which overturned the traditional concept of central nervous system (CNS) immune privilege. Despite the lack of lymphatic vessels, the glymphatic system and the meningeal lymphatic vessels provide a unique pathway for solutes transport and metabolites clearance in the brain. Sleep, circadian rhythm, arterial pulsation, and other physiological factors modulate this specialized lymphatic drainage pathway. It has also changed significantly under pathological conditions. These modulatory mechanisms may arise critical targets for the therapeutic of CNS disorders. This review highlights the latest research progress on the modulation of lymphatic transport in the CNS under physiological and pathological conditions. Furthermore, we examined the possible upstream and downstream relation networks between these regulatory mechanisms.
Mini Nutritional Assessment (MNA) as a Reliable Tool for Nutritional Assessment of Hemodialysis Patients: A Single-Center Observation

Objective In this study, we evaluated mini nutritional assessment (MNA) as a tool for the assessment of the nutritional status of end-stage renal disease (ESRD) patients on maintenance hemodialysis (MHD). Methods This prospective cross-sectional study was done from February 2021 till August 2021 on ESRD patients on MHD at our center. Nutritional status was assessed by using MNA score which evaluates four different aspects: anthropometric measures (body mass index [BMI], weight loss, mid-arm and mid-calf circumferences); general assessment (lifestyle, medications, mobility, and signs of depression); short dietary assessment (number of meals, food, and fluid intake) and subjective assessment (self-perception of food and nutrition). Results Out of 195 study subjects, 127 (65.1%) were males and 68 (34.9%) were females. Most women were stay-at-home mothers (57, 29.2% overall and 83.8% among all women), while most men owned their own businesses (44, 22.6% overall). The mean age was 51.2±14 years and the mean duration of hemodialysis was 4.6±4.1 years. Most of our patients belonged to the middle socioeconomic group (110, 56.6%). By using MNA, we found that most are at risk of developing malnutrition (112, 57.4%); however, only 9 (4.6%) patients are malnourished. In our study group, most malnourished patients belonged to the age group of >65 years (5, 56.6%). BMI was found to be significantly associated with MNA (p <0.001). Conclusion MNA is an easy and reliable bedside tool that can be used in ESRD patients on MHD for nutritional assessment. This is helpful in nutritional planning and the prevention of malnutrition.
ANALISIS PERBANDINGAN TINGKAT KESEHATAN PERBANKAN SYARIAH DENGAN PERBANKAN KONVENSIONAL DENGAN METODE CAMEL

ABSTRACT This study aimed to analyze the performance of Islamic banking compared to the conventional banking if the evaluate level of health using CAMEL. D ata analysis methods have described in accordance with study design which methods will be used to measure the health of the Bank, which is measured by CAMEL. The data analysis in this research were used Microsoft Exel, SPSS and others. The results show that in general, in terms of profitability and liquidity of Islamic banks profit performance is better than the conventional commercial banks. However, there are some lower rations than conventional banking, the capiatal adequacy ratio (CAR), asset quality ratio (NPF), and the efficiency ratio (ROA). Keywords: Comparative Analysis, Islamic Banking, Conventional Banking, CAMEL method
The Relationship between C-Reactive Protein and COPD Patients

Chronic Obstructive Pulmonary Disease (COPD) is a common, preventable, and treatable chronic inflammatory respiratory disease that affects 210 million people globally. Due to inflammation the resultant IL6 increases the level of C-REACTIVE PROTEIN (CRP) from hepatocytes. This study was conducted to evaluate the association of C-Reactive Protein in COPD patients. The study also includes the key role of C-reactive protein (CRP) in assessing the acute exacerbations of Chronic Obstructive Pulmonary Disease (COPD), which has proven to be more valuable. This was a prospective study conducted over a period of three months between February 2021 and April 2021 at the department of General Medicine in Saveetha Medical College Hospital, Chennai. In a study of 50 patients, 25 were patients with COPD and 25 were a control group of healthy people. High Sensitivity C-Reactive Protein (hs-CRP), blood gases, spirometry, Body Mass Index (BMI), 6 Minute Walk Distance (6MWD) and GOLD stage of severity were measured. The serum hs-CRP was then evaluated for any correlation with the predictors of outcomes of COPD subjects. hs-CRP levels were higher in patients with COPD than in healthy individuals (4.82 / 0.8 mgl). A correlation was found between hs-CRP and the following variables: FEV1 (r = -0.813; p < 0.01), 6MWD (r = -0.876; p < 0.01), GOLD stage (r = 0.797; p < 0.01) and evaluated. This study revealed that there is certain increase in hs-CRP in COPD patients due to inflammation. It acts not only as an inflammatory diagnostic marker, but also plays a role as predictor for the outcome of the disease and reducing the mortality rate.