Reviewerly/exHarmony huggingface dataset:
A semi-automatic approach for quantitative analysis of histological images

The use of a computational approach in histological analysis can help in the acquisition and interpretation of results. In this work, we present a computational method to automate the morphometrical protocol proposed by Ewald R. Weibel in 1966. The method proposed here was based on the use of widely known image processing algorithms aiming to identify regions of interest (i.e. image segmentation, thresholding and flood fill). The method also uses mathematical morphology, such as the opening operator to filter the noise left by the thresholding. As a contribution of this work, we also created a software tool, named AutoGrid, to support reasearchers of biology labs apply the method. The proposal was evaluated on a set of images taken from rat prostate. In this scenario, we extracted data to perform histological analysis both using the software tool and following the manual protocol. When the tool was used (i.e. semi-automatic mode), the user was asked to perform a little manual intervention, and the most time consuming and tiring parts of the process runs automatically. Finally, the computational approach presented a faster (i.e. $\approx$45% less time) and less monotonous histological analysis, with statistically equivalent results to those obtained on the manual mode.
Advances in a DSL to Specify Smart Contracts for Application Integration Processes

Several languages have been developed for writing smart contracts for specific domains, such as health, finance, and business processes. However, none of them includes the constructors needed for writing smart contracts used in application integration processes which have their own particularities. Such smart contracts are responsible for monitoring the communication between the process and the applications to guarantee that the rights of the parties involved in the integration process are observed. To cover the gap, this paper discusses a domain-specific language for writing smart contracts in the application integration domain. It provides constructors to write smart contracts with a level of abstraction close to the natural language used in conventional contracts.
A Hoeffding Decision Tree Based Approach for Soil Classification

Soil classification is an important but challenging problem for the research community.As such, current solutions for classifying soil for a wide variety of reasons are out of the reach of hobbyists and the small research firms.This research study focuses on comparing various machine learning algorithms on a custom database generated from Canadian System for Soil Classification (CSSC) attributes to reveal a solution for identifying a soil Pedon.Discussion centres around acquainting the user with soil terminology, current solutions to the problem of soil classification, and the proposed solution.A database using these attributes was constructed, and six algorithms were analyzed using validation, test case, and 70-30 split testing via WEKA.Among the comparing algorithms, the Hoeffding decision tree was found to perform best, and it was subsequently used in developing a simple prototype using Java Graphical User Interface (GUI).Finally, the Hoeffding decision tree was compared to the other algorithms that were used to see why it was more accurate than its competitors.
APPLICATION OF HARDWARE CAPITAL THERAPY TO IMPROVE THE QUALITY OF LIFE WITH HYPERTENSION IN THE AREA OF PUSKESMAS ROWOSARI SEMARANG

Elderly is a population at high risk of impaired cognitive function.Reduced memory, intellectual function and the ability to learn are changes in cognitive function that can reduce the quality of life of the elderly. Playing “Remi” card is one of the non-pharmacological therapies that can improve cognitive function in the elderly. Types of research used is descriptivewith a case study debiting method. The subjects used were 2 people with criteria aged 60-74 years, not color blind , not illiterate, can sit. Measurement of cognitive function using Mini Mental State Examination (MMSE). Intervention playing “remi” card games with the method of “tepuk nyamuk”for 5x meetings in 2 weeks. The results of the analysis, subject Iincreased from a score 23 to 27, subject II from a score of 26 to 28. The results of the case study concluded that there was an increase that reaching 8.66 cognitive function. “Remi” cards game with the method “tepuk nyamuk” is recommended as a nursing intervention in the management of cognitive enhancement function in elderly.
PELATIHAN PEMBUATAN SALEP LIDAH BUAYA SEBAGAI ALTERNATIF PENGHILANG BEKAS LUKA

The incidence of injuries in Indonesia is increasing from year to year. The wound will leave a scar and will fade over a long period of time. There are many kinds of drugs offered in the market to speed up the healing of scars, but they are sold at high prices. This makes it difficult for people with middle to lower social status to get it. Aloe vera is one of the plants that can increase the production of collagen in the body. Aloe vera is also easy to get. From this situation, there is a high market opportunity for wound healing drugs at affordable prices. Therefore, training is needed to make scar removal ointment with aloe vera as the basic ingredient. This activity aims to empower students, especially students from the Pharmacy Study Program to make an ointment with aloe vera as an alternative to scar removal. This activity begins with knowledge exploration, socialization and delivery of materials, practice of making ointments with aloe vera as basic ingredients, packaging, promotions and ends with an evaluation of activities. The end result of this activity is a scar-removing ointment with aloe vera-based ingredients, which is then called the salibu ointment.
Demonstration of Reference Frame Independent Time Bin Quantum Key Distribution

We present the experimental results of the first reference frame independent time bin quantum key distribution. Despite a lack of active phase stabilization of the interferometers, 0 . 078 asymptotic secret key bits per second were generated.
Multipair emission effects in quantum dot-based entangled photon sources

During recent years, quantum dots have become an increasingly established source of highly entangled photons <sup>1</sup>. The main motivation for the development of this technology has resided in the expectation that a resonantly driven quantum emitter can offer a path towards on-demand photon pair generation <sup>2</sup>. In fact, state-of-the-art sources relying on spontaneous parametric down-conversion intrinsically suffer from multipair emission at high pair generation rates, which causes a tradeoff between brightness and degree of entanglement <sup>3</sup>. Despite the key importance of this aspect, the experimental study of how multiphoton emission affects the entanglement properties of quantum dot-based sources has received surprisingly little attention. In this paper we report the investigation of the multipair emission of the source under quasi-deterministic resonant two-photon excitation without filtering the excitation laser using polarization suppression. The focus is on measuring the real multipair emission entering in entanglement-based measurements, minimizing measurement artefacts from the setup and in particular from the excitation source. This is investigated by measuring the second-order correlation function at zero-time delay in several measurement conditions, including spectral filtering. Our work confirms that the multipair emission is provided also for entanglement-based measurement conditions and thus helps the design of efficient photon sources for quantum information and communication technologies.
Determinants of Depression among Incarcerated Women

This study aims to identify the current status of depression and related characteristics of incarcerated women, and to explain factors affecting the depression of incarcerated women in South Korea. For this purpose, this study used a sample of 171 incarcerated women from the dataset of ‘2016 Survey on the Right to Health in Prisons’. As the primary analysis method, a binary logistic model was used. As a result, first, regarding prison environments, long periods of imprisonment, short exercise time, and appropriate eating were significant predictors of female prisoners’ depression. Second, regarding individual and health factors, marital status before detention, number of health problems, and hard day to sleep at night were the significant predictors of female prisoners’ depression. Third, regarding women-related factors, pain experienced with untreated gynecological disease was the significant predictor of female prisoners’ depression. Based on the result, the study emphasized the need to consider the women-related factors to intervene the depression, and provided practical·policy suggestions.
Generation of Schrödinger Cat States with Wigner Negativity Using a Low-Loss Continuous-Wave Optical Parametric Amplifier

We observed Wigner negativity of Schrödinger cat states generated with a low-loss continuous-wave optical parametric amplifier, paving the way toward fault-tolerant and universal quantum computation with terahertz clock frequency.
On the CLT for rotations and BV functions

Let x↦x+αmod1 be a rotation on the circle and let φ be a step function. We denote by φ n (x) the corresponding ergodic sums ∑ j=0 n-1 φ(x+jα). For a class of irrational rotations (containing the class with bounded partial quotients) and under a Diophantine condition on the discontinuity points of φ, we show that φ n /∥φ n ∥ 2 is asymptotically Gaussian for n in a set of density 1. The proof is based on decorrelation inequalities for the ergodic sums taken at times q k , where (q k ) is the sequence of denominators of α. Another important point is the control of the variance ∥φ n ∥ 2 2 for n belonging to a large set of integers. When α is a quadratic irrational, the size of this set can be precisely estimated.
A Study on the Analysis of Job Factors of General Security Personnel under the Security Business Act

This study is an exploratory study for establishing job domain and specific job factor, which is the job scope of general security guards under the Security Business Act and it suggests basic guideline for clear guiding of general guards. In addition, the purpose of the Security Business Act is to clarify the limit of the work of general security guards and to provide the rationale of the authority basis to ensure smooth execution of security work.&#x0D; Delphi technique, which focuses on the experts on security affairs, aims to establish the job scope of general security guards and to establish objective and reasonable job scope rather than subjective interpretation by setting specific job contents classified by universally validated areas .&#x0D; As a result of this study, the general security guards' job scope in the Security Business Act is focusing on occupational security services, convoy security services, personal protection services, and machine security services.&#x0D; First of all, the most important job in the area of facility security service is 'security zone residence and patrol', which is the basic basis for detecting and responding to illegal intrusions and countermeasures against risk factors, focusing on the facilities to be expended. Based on this, access control, risk detection, and disaster management should be performed. In relation to visitors, parking management and civil service should be integrated.&#x0D; In the case of the convoy security service, vulnerabilities at the starting point and the destination are the largest, and immediate countermeasures should be taken when capturing the boundary and danger signs. In addition, it is necessary to establish organic step-by-step security guideline before and after the convoy security, confirm it and maintain the communication system with the base station.&#x0D; In the field of personal protection work, 'hazard access control' and 'contingency response' were the most important job factors. In order to secure the safety of the security guard, it is necessary to recognize the access control of the threat to the security guard as a central job through pre-planned work because both the prevention action and the immediate post reaction are important.&#x0D; The mechanical security work was guided by general security guards and urgent dispatch. This has an organic relationship with the facility control and it is necessary to make a directive report on the situation and appropriate emergency response through communication system with the base station.
A STUDY ON CYBER-CRIMES

Cyber-crime can be defined as a criminal activity that uses computer or any digital device that has an internet connection as a tool to commit crimes.The data in this paper has been collected from the students which includes teens and young adults of B. K. Birla College and other colleges in Kalyan.The main moto of this research paper is to study the basic cyber-crimes happening around us.There were 102 participants of various ethnic backgrounds and they were given a questionnaire about cyber crimes which happens in our dayto-day life based on which they shared their experiences and opinions regarding to it.
EXAMPLES OF INFORMATION TECHNOLOGIES FOR RECONSTRUCTION FROM THE DATA OF THE SPECTRUM OF SOME CLASSES OF RANDOM FUNCTIONS

It is known that a stationary random process is represented as a superposition of harmonic oscillations with real frequencies and uncorrelated amplitudes. In the study of nonstationary processes, it is natural to have increasing or declining oscillationсs. This raises the problem of constructing algorithms that would allow constructing broad classes of nonstationary processes from elementary nonstationary random processes. A natural generalization of the concept of the spectrum of a nonstationary random process is the transition from the real spectrum in the case of stationary to a complex or infinite multiple spectrum in the nonstationary case. There is also the problem of describing within the correlation theory of random processes in which the spectrum has no analogues in the case of stationary random processes, namely, the spectrum point is real, but it has infinite multiplicity for the operator image of the corresponding operator, and when the spectrum itself is complex. Reconstruction of the complex spectrum of a nonstationary random function is a very important problem in both theoretical and applied aspects. In the paper the procedure of reconstruction of random process, sequence, field from a spectrum for Gaussian random functions is developed. Compared to the stationary case, there are wider possibilities, for example, the construction of a nonstationary random process with a real spectrum, which has infinite multiplicity and which can be distributed over the entire finite segment of the real axis. The presence of such a spectrum leads, in contrast to the case of a stationary random process, to the appearance of new components in the spectral decomposition of random functions that correspond to the internal states of "strings", i.e. generated by solutions of systems of equations in partial derivatives of hyperbolic type. The paper deals with various cases of the spectrum of a non-self-adjoint operator A, namely, the case of a discrete spectrum and the case of a continuous spectrum, which is located on a finite segment of the real axis, which is the range of values of the real non-decreasing function a (x). The cases a (x) = 0, a (x) = const, a (x) = x and a (x) is a piecewise constant function are studied. The authors consider the recovery of nonstationary sequences for different cases of the spectrum of a non-self-adjoint operator A promising since spectral decompositions are a superposition of discrete or continuous internal states of oscillators with complex frequencies and uncorrelated amplitudes and therefore have deep physical meaning.
Measuring the Human Body from a Single Camera, with Applications to the Clothing and Fashion Industry

Using a single RGB camera to obtain accurate body dimensions rather than measuring these manually or via sophisticated multi-camera or laser-based sensors, has a high application potential for the apparel (fashion) industry.We present a system that estimates upper human body measurements using a set of computer vision and machine learning technologies.In a nutshell, the main steps involve: (1) using a portable camera (such as with a smartphone); (2) improving the image quality; (3) performing a calibration step; (4) extracting features of the body from the image; (5) indicating markers on the image semi-automatically; (6) producing refined final results.We experimented with the system on a sample of participants.The results for the upper human body measurements in comparison to the main manual method of tape measurements show ±1cm average differences, which is a good enough result for a number of applications.
Understanding the Difference Between Chemical Changes and Physical Changes

The purpose of this study is to distinguish physical changes and chemical changes. This study uses an experimental method, in which this experiment is carried out to prove data and hypotheses regarding changes in physics and chemical changes. The hypotheses and data that will be proven are the factors that influence physical changes and chemical changes, examples of physical changes and also chemical changes, as well as significant differences between physical and chemical changes. In this research, I used some tools and I need some materials. For the tools that used in this research were test tube holders, measuring pipettes, droppers, spirits lamp, clay triangle and gauze, beaker glass, test tubes and also the rack of test tubes, watch glass. While for the materials that needed are I2, CuSO4, Mg, HCl, CCl4, KI, wax, H2O.
PENGEMBANGAN BAHASA ANAK USIA DINI MELALUI METODE ROLE PLAYING

This research is based on the problem of suboptimal development of children's language. The objective to be achieved is to obtain a picture of children's language development in TK Tunas Indah through the application of the role playing method which is formulated as follows: (1) What is the condition of children's language development before applying the method of role playing in TK Tunas Indah? (2) What is the process of applying the role playing method in improving children's language development at TK Tunas Indah? (3) what extent is the improvement in the language development of TK Tunas Indah children after applying the role playing method? and (4) What constraints do teachers experience in implementing the role playing method? The research method used is Classroom Action Research (CAR) to improve the learning process of children's language development through the application of the role playing method. Classroom Action Research was carried out in two cycles, with the subjects of group A children in TK Tunas Indah, totaling 15 children. From the results of the implementation and observations made, there was a significant increase, especially in the second cycle. It is recommended for teachers that language development is further optimized, both in learning, implementing and evaluating learning. For further researchers, it is expected to make research on the development of children's language through other methods.
Accusations in the context of computer programming

We imagine a minimal context where a programmer A serves as the provider of a program X for a user B. A survey is given of plausible promises and accusations in connection with the delivery and deployment of X. When X is used, various problems may arise. The focus of the paper is on the role of accusations which may plausibly arise in various scenarios. We discuss different accusation patterns that may occur outside informatics and see whether such patterns may appear in the context of programming as well.
SPEECH ANALYSIS (DISCOURSE SEMANTIC ANALYSIS BASED ON SYSTEMIC FUNCTIONAL LINGUISTICS THEORY)

This study is concerned with discourse semantic analysis of three selected victory speeches of the US Presidents. It was conducted for and aimed at describing, explaining, and analyzing the field, the interpersonal meaning (tenor) the mode of the texts, the schematic structure, and the unity of the texts by using Systemic Functional Linguistics (SFL) as the basis of analysis. The speech texts were changed into clauses and then analyzed. The results of the analysis found that the register category of field is similar. The transitivity patterns of the grammar, reference, and lexical string analysis share common features that is the realization of experiential action done by the speaker and audience for the progress of America. The interpersonal meaning of the texts is slightly different, in which, Joe Biden and Barack Obama established an intimate relationship with the audience, while in Donald trump’s text, the sense of intimacy and the distance with the audience are far. Since the nominal groups used were simple, the mode of all texts belongs to the spoken mode. Besides, In terms of schematic structure, the texts were constructed similarly consisting of an introduction, body, and conclusion. Finally, this study also found that the anaphoric reference which was predominantly used, a good pattern of conjunction relations, and lexical relations between lexical items appearing cross clauses categorize the texts as being highly cohesive.
Polarized reflection removal with difference feature attention guidance

Reflection removal is of great significance for high-level computer vision tasks. Most existing methods separate reflections relying heavily on the quality of intermediate prediction or under certain special constraints. However, these methods ignore the inherent correlation between the background and reflection, which may lead to unsatisfactory results with undesired artifacts. Polarized images contain unique optical characteristics that can facilitate reflection removal. In this paper, we present, to the best of our knowledge, a novel two-stage polarized image reflection removal network with difference feature attention guidance. Specifically, our model takes multi-channel polarized images and Stokes parameters as input and utilizes the optical characteristics of reflected and transmitted light to alleviate the ill-posed nature. It adopts a simple yet effective two-stage structure that first predicts the reflection layer and then refines the transmission layer capitalizing on the special relationship between reflection and transmission light. The difference feature attention guidance module (DFAG) is elaborated to diminish the dependence on intermediate consequences and better suppress reflection. It mitigates the reflection components from the observation and generates the supplement and enhancement to the transmission features. Extensive experiments on the real-world polarized dataset demonstrate the superiority of our method in comparison to the state-of-the-art methods.