Miracle-dz/UniFAR-FTUs huggingface dataset:
SHEAFCOEF: Stata module to compute sheaf coefficients

sheafcoef is a post-estimation command that estimates sheaf coefficients (Heise, Sociological Methods and Research 1972). A sheaf coefficient assumes that a block of variables influence the dependent variable through a latent variable. This assumption is not tested, nor is it testable; a sheaf coefficient is just a different way of presenting the results from a model. Its main usefulness is in comparing the relative strength of the influence of several blocks of variables. For example, say we want to know what determines the probability of working non-standard hours (evenings, nights, and weekends) and we have a block of variables representing characteristics of the job and another block of variables representing the family situation of the respondent, and we want to say something about the relative importance of job characteristics versus family situation. In that case one could estimate a logit model with both blocks of variables and optionally some other control variables. After that one can use sheafcoef to display the effects of two latent variables, family background and job characteristics, which are both standardized to have a standard deviation of 1, and can thus be more easily compared.
MOBILITY AND TRAFFIC MODEL DATA DISSEMINATION IN VEHICULAR NETWORKS

-The latest rise of Vehicular Adhoc networks (VANET) has attracted many researchers where multi hop dissemination of data has been the most relevant issue to be solved. In these networks, the mobile nodes form temporary network without any fixed infrastructure. This paper proposes the data disseminated from the source to destination nodes with the traffic model as provided in VANET. GPSR protocol uses a greedy forwarding algorithm that disseminates the data to the destination using the efficient possible path. If the greedy forwarding fails, perimeter forwarding will be used to find routes around the perimeter of the region. This paper also includes traffic control mechanisms. It divides the mobility models into an intra-segment component, an inter-segment component and a route management and execution component.
Linking Overturning, Recirculation, and Melt in 1 Glacial Fjords 2

13 Fjord circulation modulates the connection between marine-terminating glaciers and the 14 ocean currents offshore. These fjords exhibit both overturning and horizontal recircu- 15 lations, which are driven by water mass transformation at the head of the fjord via sub- 16 glacial discharge plumes and distributed meltwater plumes. However, little is known about 17 how various fjord characteristics influence the interaction between 3D fjord circulation 18 and glacial melt. In this study, high-resolution numerical simulations of idealized glacial 19 fjords demonstrate that recirculation strength controls melt, which feeds back on over- 20 turning and recirculation. The relationships between overturning, recirculation, and melt 21 rate are well predicted by vorticity balance, reduced-order melt parameterizations, and 22 empirical scaling arguments. These theories allow us to take into account the near-glacier 23 horizontal velocities, which yield improved predictions of fjord overturning, recirculation, 24 and glacial melt. 25
Establish a Novel Model for Predicting the Risk of Colorectal Ademomatous Polyps: a Prospective Cohort Study

Purpose: To establish and validate a model to determine the occurrence risk of colorectal ademomatous polyps. Methods: A large cohort of 3576 eligible participants who were treated in the Department of Gastroenterology, the First Affiliated Hospital of Nanjing Medical University from June 2019 to December 2021, were enrolled in our study and divided into discovery and validation cohorts at a ratio of 7:3. LASSO regression method was applied for data dimensionality reduction and feature selection. The nomogram for the occurrence risk of colorectal ademomatous polyps was constructed based on multivariate logistic regression. The predictive performance of the model was evaluated regarding its discrimination, calibration, and clinical applicability. Results: A total of 10 high-risk factors were independent predictors of the colorectal ademomatous polyps occurrence and incorporated into the nomogram, including older age, male, hyperlipidemia, smoking, high consumption of red meat, high consumption of salt, high consumption of dietary fiber, Helicobacter pylori infection, non-alcoholic fatty liver disease and chronic diarrhea. The model showed favorable discrimination values, with the area under the curve of the discovery and validation cohorts 0.775 (95% confidence interval (CI), 0.755-0.794) and 0.776 (95% CI, 0.744-0.807) respectively. The model was also well-calibrated, with Hosmer-Lemeshow test P = 0.370. In addition, the decision curve analysis revealed that the model had a higher net profit compared with either the screen-all scheme or the screen-none scheme. Conclusion: In this prospective study, we established and validated a prediction model that incorporated a list of high-risk features related to colorectal ademomatous polyps occurrence, showing favorable discrimination and calibration values.
PSYCHOPHYSIOLOGICAL MARKERS OF EPISTEMIC EVALUATION: EVIDENCE FROM EYE TRACKING IN READING FAMILIAR AND UNFAMILIAR WORDS

The article focuses on identifying specific eye movement parameters during reading unfamiliar words to study the formation of epistemic evaluation. The sample consisted of 40 students. 240 eye-tracking records were registered while the participants were reading 6 texts in Russian. The study revealed that the speed of saccades decreased, and the duration of fixations increased while reading an unknown word. Eye movements at first encounter of a new term may be an indicator of epistemic evaluation formation.
Modulation Strategy of a 3 × 5 Modular Multilevel Matrix Converter

In this paper, a modulation strategy of a 3 × 5 modular multilevel matrix converter (M3C) is proposed. The circuit of 3 × 5 M3C is firstly introduced. Then, operation rules of 3 × 5 M3C are illustrated, and a connection pattern of branches is determined based on these rules. Different voltage states in the input and output side can be achieved by different connection patterns. These voltage states are represented in the form of vector. It is hard to synthesize five-phase output with the three-level synthesis method. Therefore, the five-level synthesis method is adopted in this paper; i.e., is the branch states have been increased. Ten effective vectors and a zero vector are selected based on the five-level synthesis method. With this modulation strategy, we achieve output line-to-line voltages that are in line with the trend of a sine wave. The segment division and duty cycle calculation are very simple, and the modulation strategy can be implemented easily. The simulation model of 3 × 5 M3C is constructed based on Matlab/Simulink, and the corresponding experimental platform is set up. The results of simulation and experiment show that the proposed method is reasonable and correct.
Optical Text Translator

In the actual world, when people go to a new location, they may have difficulties with language, signboards, or other kinds of communication. People in the digital age utilize Google Translate, Pocket Dictionary, and other similar applications. A signboard or other kind of notice may communicate important information or even act as a warning. Important information may be lost if the message is unavailable to individuals of different linguistic backgrounds; furthermore, visitors may struggle to carry out their duties in a new place if they do not comprehend the language spoken there. A portable dictionary, on the other hand, may be ineffective if users wish to translate a language in which words are not organized alphabetically. In another research, it is also understood in the same manner that users are unable to type the text of what they see. Because they are unable to comprehend the language despite the pocket dictionary and online translation service offered, people from various linguistic backgrounds may experience a breakdown in communication. The purpose of this article is to create an app that will translate information shown on a signboard into the language of the user's choice. When the user points their phone's camera at the signboard, the App takes a picture of it and then translates the text on the signboard.
Ion Implantation Simulation and Optimization in Semiconductor Compounds

An ion implantation simulator called INNOViON coded on MATLAB software and using SRIM (Stopping and Range of Ions in Matter) simulated data is introduced. Using this application, ion and vacancy distributions in a target for multiple implant energies can be generated. In addition, inherent SRIM limitations and mitigation techniques embedded inside INNOViON are discussed. A MonteCarlo profile matching optimization principle, a very useful feature for isolation ion implantation processing, is discussed. Finally, a heuristic channeling simulation capability based on multiple profiles found in the literature is described. INTRODUCTION Since the 1980s, several codes, such as SRIM/TRIM [1] [2] [3] [4] [5], UT-MARLOWE [6], COSIPO [7], ACOCT [8], PEPPER [9], CrystalTRIM [10] [11], have been focusing on modeling ion ranges and damage distributions, in term of created vacancies, in amorphous or crystalline targets. They are either based on Monte Carlo (MC) atomistic modelling techniques or on molecular dynamics (MD) methods or on combinations of both methods. Briefly, the first method consists of estimating the trajectory of the ions by sampling from a true or hypothetical distribution of energy loss by independent electronic and nuclear stopping powers. The second approach, MD, on the other hand, focuses on solving the many-body Newton’s mechanics [12] equation. This paper presents a modeling expansion application coded on MATLAB and based on SRIM data which extrapolates to calculate distributions for all energies of interest, cleans up inherently noisy SRIM-generated data, automatically optimizes the energy, dose, and number of steps required to create a target profile, and finally models channeling effects. I. COMPARISONS AND OPTIMIZATION OF SRIM SIMULATED PROFILES USING FILTERING PROCESSING I.1. QUICK CALCULATION VS. MONOLAYER COLLISION
MOVERY: A Precise Approach for Modified Vulnerable Code Clone Discovery from Modified Open-Source Software Components

Vulnerabilities inherited from third-party open-source software (OSS) components can compromise the entire software security. However, discovering propagated vulnerable code is challenging as it proliferates with various code syntaxes owing to the OSS modifications, more specifically, internal ( e . g ., OSS updates) and external modifications of OSS ( e . g ., code changes that occur during the OSS reuse). In this paper, we present M OVERY , a precise approach for discovering vulnerable code clones (VCCs) from modified OSS components. By considering the oldest vulnerable function and extracting only core vulnerable and patch lines from security patches, M OVERY generates vulnerability and patch signatures that effectively address OSS modifications. For scalability, M OVERY reduces the search space of the target software by focusing only on the codes borrowed from other OSS projects. Finally, M OVERY determines that the function is VCC when it matches the vulnerability signature and is distinctive from the patch signature. When
Entity Based Bias in News Articles Bachelor’s Thesis

The internet allows people to collect a wide range of information on every-day events. Still, the critical judgment of such information lays upon people’s responsibility. An automatic tool to classify a document’s ideology (and pin-point the hyperpartisan content) could protect readers from unconscious one-sided news consumption and aid authors to produce unbias news coverage. In this thesis, we investigate how political bias manifests in a certain part of a news article, i.e., the text given to introduce people . To do so, we leveraged a linguistic pattern of interpolated text we call a ‘descriptive statement’, studying to what extent such statements encode political bias. Within an existing corpus of news articles labelled with political bias, we determine descriptive statements, engineer features that represent bias there (according to our view of bias), and use these features to train a collection of machine learning models to classify a given article into left, center, or right . Inspecting the effectiveness of utilizing descriptive statements for bias identification, we compare our best-performing models to a ‘lower bound’ approach that guesses the article’s bias. Besides, we compare the models against two ‘upper bound’ approaches that utilize the content of the entire given article. The results demonstrate that identifying bias in descriptive statements can be used to classify article bias (it outperforms the lower bound), suggesting that descriptive statements are used to a wide extent by authors to encode bias. Still, the entire article supposedly contains several linguistic parts (besides descriptive statement) that encode bias, and thus, can be used for more effective bias classification (upper bound).
Internal Displacement in Ethiopia: A Scoping Review of its Causes, Trends and Consequences

This article sought to examine the scope, range, and nature of evidence on major drivers and socio-economic and psychological impacts of internal displacement in Ethiopia. A scoping review of the literature was conducted. A total of nine databases and eight other sources were searched from February to June 2021, yielding 3,479 articles after duplicates were eliminated. The researcher selected and reviewed 36 articles that met the inclusion criteria. The findings reveal that conflict-induced displacement is the primary driver followed by climate-induced displacement and other factors causing displacement (such as development projects, severe wind, and social tensions). Findings on the impact of internal displacement show degradation in the livelihood and housing conditions; socio-cultural confusion; loss of identity and family disintegration; limited access to basic services such as food, water, housing, health care and basic education; loss of access to farmland, pastures, forest lands; impoverishment risks, joblessness, social disarticulation; trauma, marginalization, and discrimination. Findings provide insight into the complex array of driving factors causing people to be internally displaced in Ethiopia and their associated impact on IDPs. The key observation is that there is limited literature on the causes, trends and impacts of internal displacement in Ethiopia though several studies have focused on internal displacement and refugees in the Africa. Further, intervention studies are needed to shed light on approaches to investigate the root causes and improve the wellbeing of internally displaced persons.
GEORGIAN MEDICAL NEWS No 1 ( 322 ) 2022

Background. The problem of analysis of clinical diagnostic and biochemical criteria of postoperative cognitive dysfunction in abdominal oncosurgery, depending on the degree and structure of disorders, remains unresolved, which determines its relevance. The role of 2, 3-diphosphoglycerate is essential, because its increase in the concentration of red blood cells in hypoxic conditions is one of the adaptive mechanisms that improve oxygen transport to tissues. Purpose. The influence of the dynamics of 2,3 diphosphoglycerate content, as the main indicator of hypoxia, on the occurrence of cognitive dysfunction in the postoperative period in patients with neoplasms of the abdominal cavity. Materials and methods. The study was conducted on the basis of departments for patients of the surgical profile of the municipal institution "Kharkiv City Clinical Hospital of Ambulance and Emergency Care named after Professor OI Meshchaninov ". To achieve this goal, we examined 80 patients with abdominal neoplasms who underwent surgery under general anesthesia using propofol and fentanyl. All patients were divided into 2 groups depending on the age of patients on the WHO scale, who underwent surgery using general anesthesia: Group 1 (n = 39) middle-aged patients (50-59 years); Group 2 (n = 41) elderly and senile patients (60-80 years). The control points of the examination were the day before the operation and the 1st, 7th, 30th day from the moment of the operation. The state of cognitive function in these patients was determined by conducting neuropsychological tests. To assess the state of cognitive function of patients, neuropsychological tests were used: MMSE scale (Mini-Mental State Examination, MMSE), the method of memorizing 10 words AR Luria, frontal dysfunction battery (FAB), Schulte technique. To assess the state of energy metabolism in patients, the level of erythrocytes and hemoglobin in the blood analysis was determined by well-known methods, the level of 2,3 diphosphoglycerate in erythrocytes and its ratio to hemoglobin. Results and discussion. Anemia in the first week after surgery in patients of group 1 contributes to the development of a hypoxic state, in erythrocytes there is an increase in the content of 2,3
Measuring Your Posterior Beliefs that You Can Count Properly

In toxicity studies with dogs, animals are dosed on an individual milligrams per kilogram basis, adjusted weekly For practical reasons the experimental compound is manufactured as tablets of different strengths, so that individual animal doses are made up of varying numbers of tablets of these different strengths. In this paper a Bayesian approach to determining the likelihood of counting errors encountered in preparing the dose for individual animals is investigated. A Bayesian approach is particularly appropriate in this context as we shall have strong beliefs in the ability of individuals to count small numbers of tablets correctly, but weaker beliefs in their ability to count larger numbers.
Financial Development and Green Growth∗

We study how countries’ financial structure—i.e., the importance of stock markets relative to bank-based financial intermediation—affects their transition to low-carbon growth. To do so, we use a novel data set of output, carbon emissions, and green patents for 16 industries in 48 countries during the period 1990–2013. We find that for a given level of economic and financial development and environmental regulation, carbon emissions per capita decline faster in economies that receive a higher share of their funding from stock markets. Industry-level analysis reveals two channels. First, deeper stock markets reallocate investment towards energy-efficient sectors, reducing the share of output generated by carbon-intensive sectors. Second, in countries with deeper stock markets, firms in carbon-intensive sectors engage in more green innovation, which results in lower carbon emissions per unit of output. We find only limited evidence for cross-border spill-overs: only one-tenth of these industry-level reductions in domestic carbon emissions are offset by increased carbon embedded in imports. A firm-level analysis of an exogenous shock to the cost of equity in Belgium confirms our findings. When equity becomes relatively cheaper, firms reduce their dependence on bank credit, and this is followed by a reduction in the carbon-intensity of their production process. JEL classification: G10, O4, Q5.
IPL WINNER PREDICTION USING MACHINE LEARNING

: Cricket is a popular sport in India as well as the rest of the world. In recent years, the T-20 variation of this game has grown in popularity. The Indian Premier League (IPL), a tournament based on this structure, has risen dramatically in recent years. On the other hand, Cricket is known as the game of chance. Fans and followers are also concerned with predicting the victor of a tournament or match. Technology, on the other hand, is rapidly changing. After training a model, researchers always turn to machine learning algorithms to predict something. So, in this research, we use various supervised learning approaches to predict the winners of Indian Premier League matches.We have the following attributes in this system: team names, match venue, toss winner, toss decision, match winner, won by how many runs, and umpires present for the match. Logistic regression, Decision trees, Random Forest, SVM, Naive Bayes, Gradient boost, and KNN are examples of supervised techniques utilized in this research
On the decomposability of infinitely extendable vector bundles on projective spaces and Grassmann varieties

Barth and Van de Ven proved the decomposability of infinitely extendable vector bundles of rank 2 on complex projective spaces [1 ] . Furthermore they showed that an infinitely extendable vector bundle of rank 2 on the complex Grassmann variety is either L I O L 2 o r UC)L 3 where each L , is a line bundle and U is a universal vector bundle [ 2 ] . We shall generalize their result to the case of higher rank, and the main theorem which we shall prove in § 3 is stated as follows:
A Contrapuntal Reading of Arthur Golden’s Memoirs of a Geisha

Historical overview of prostitution in Japan Until the enactment of Anti-Prostitution Law in 1956, prostitutes were safely operating as the brothel districts had been licensed since 1589. Thus they were somewhat under the Japanese government’s protection (Leupp, 2003). However, even in previous centuries before the AntiProstitution Law enactment, sexual variability in the form of the sexual services the brothels offer, or the prostitutes’ personal business engagements were considered completely normal and a large part of daily life (Downer, 2001). Saburuko (serving girls) is the first ever documented sex workers in Japanese history which dates back to the 759 AD as found in the ancient Japanese book Ma‘nyōshu which translates to “A Collection of Ten Thousand Leaves”. According to this record, the Saburuko (described as wanderers) came from displaced families because of factional struggles that took place in Japan during the late 600s. They wandered and resorted to prostitution for survival (Stephenson, 2018). Prostitution in Japan is said to have transformed in different styles throughout the ancient time to modern time, between the Heian Period to Azuchi-Momoyama Period (7951603) came Murasaki Shikibu's Tale of Genji (world's first novel) which made mention of the pleasure women, described as sex-workers that welcome travelers at seaports of different cities for profitable marketing of themselves. During the Edo Period (1603-1868) licensed pleasure brothels were established under the military regime; this gave the room for a historical multiplicity in the number of Japanese prostitutes. Prostitutes working as indentures contracts reeled through the period from the Edo period. Between the two wars, the moral climate of Japan became more corrupted due to Western influence. With the American invasion of Japan, came the amplification of sexual services in various forms (Leupp, 2003).