Miracle-dz/UniFAR-FTUs huggingface dataset:
Analyzing the Performance of Stroke Prediction using ML Classification Algorithms

A Stroke is a health condition that causes damage by tearing the blood vessels in the brain. It can also occur when there is a halt in the blood flow and other nutrients to the brain. According to the World Health Organization (WHO), stroke is the leading cause of death and disability globally. Most of the work has been carried out on the prediction of heart stroke but very few works show the risk of a brain stroke. With this thought, various machine learning models are built to predict the possibility of stroke in the brain. This paper has taken various physiological factors and used machine learning algorithms like Logistic Regression, Decision Tree Classification, Random Forest Classification, K-Nearest Neighbors, Support Vector Machine and Naïve Bayes Classification to train five different models for accurate prediction. The algorithm that best performed this task is Naïve Bayes that gave an accuracy of approximately 82%. Keywords—Stroke; machine learning; logistic regression; decision tree classification; random forest classification; k-nearest neighbors; support vector machine; Naïve Bayes classification
Motivational Factors Impacting the Use of Citizen Reporting Applications in Saudi Arabia: The Case of Balagh Application

Citizen reporting applications are considered a new approach for interaction between government authorities and citizens. Citizen reporting applications are implemented to collectively gather information from citizens on issues related to public interest such as accidents, traffic violations, and commercial frauds. Through utilizing citizen reporting applications, citizens are able to provide information about incidents efficiently and conveniently to the local authorities via mobile applications that are designed for these specific purposes. For such applications to be successful, citizens’ willingness to participate continually and to become daily users of these applications is required. This paper applies the selfdetermination theory to investigate the factors that encourage citizens to participate in citizen reporting applications. In this study, the factors impacting behavioural intention to use the applications are divided into two categories. First, intrinsic motivation factors that include self-concern, social responsibility, and revenge. Second, extrinsic motivation factors that include output quality and rewards. The study empirically surveyed 297 Saudi citizens from different age groups. The partial least square (PLS) approach validates the research model. Findings reveal that output quality, revenge, and self-concern are significantly associated with citizens’ motivations to use the applications, whereas rewards and social responsibility do not significantly influence citizens’ motivations to engage with such applications. This study contributes theoretically by enriching literature on the identification of the factors behind user’s engagement in citizen reporting applications. It also contributes practically by supporting the developers of citizen reporting applications to consider these factors when designing and marketing this kind of application. Keywords—Crowdsourcing; self-determination theory; intrinsic motivation; extrinsic motivation; citizens reporting
Manipulating sugarbeet plant population to compensate for high nitrogen fertility in southern Minnesota

As sugar beet production approaches or surpasses factory slice rate and process capacity, increasing the amount of sugar in each sugar beet becomes emphasized. A major obstacle to raising a high sugar, high quality sugar beet is excessive nitrogen fertility. Sugar beets yield increases with nitrogen fertility, but sugar beet quality is detrimentally impacted by nitrogen fertility. The objective of this study was to determine if a producer can increase harvest plant population in high nitrogen situations and mitigate the negative impacts of the excess nitrogen. This study was conducted in two environments during the 2019 growing season in a replicated complete block design with a split plot arrangement of six replications. Four nitrogen rates comprised the whole plot and two plant populations comprised the split plot arrangement and were applied at both locations. Fertilizer was applied by hand to reach a total available soil nitrogen level of 120, 160, 200, and 240 lbs ac and incorporated with a field cultivator. Sugar beet was planted at a rate of 120,000 plants ac to ensure adequate establishment and stands were thinned after stand establishment to populations of 43,800 and 71,300 plants ac. Nitrogen rate significantly affected quality parameters of percent sugar, percent purity, brei nitrate ppm, and extractable sugar per ton, and the highest quality sugar beet crops were produced on soil fertilized to 120 lbs total available soil N ac. Plant populations did not significantly impact sugar beet quality, but did significantly impact sugar beet yield and extractable sugar per acre. Extractable sugar per acre was maximized at 120 lbs available soil N ac and 71,300 plants ac. Extractable sugar per ton was maximized at
Constraints to adoption of forage and browse legumes by small___

A survey was conducted to determine the level of ad ption of forage and browse legumes and to identify the major constraints limiting their adoption in the smallhol der dairy sector of Zimbabwe. Sixty households were s l cted using stratified random sampling from a sampling frame of 174 registered farmers in Nharira-Lancashire Dairy Scheme in Chikomba District of Zimbabwe. The majority of households were aware (94.7 %) and 87.9 % adopted forage/browse legume technologies. R ults showed that most of the farmers were full-adopters based on the type of species used (66.7 %) and area und r forage (47.8 %) criteria. The most commonly adopted specie s w re Mucuna pruriens (60.6 %) and Leucaena leucocephala (53.5 %). The size of household, land size and number of dai ry c ttle significantly affected adoption of forage /browse legume technologies. Lack of inputs, low yields and lack of persistence of legumes and lack of fencing material were identified as core factors limiting adoption of for age/browse legume technologies. Stakeholders' support in smallholder dairying shoul d continue to be extended to resource-poor farmers as well as to the more receptive targets with access to resources for investment. This should be executed through partic ipatory approaches to achieve widespread and long-term benefits of ado pting forage/browse legume technologies for sustain able smallholder dairy production in Zimbabwe.
TEMP: Time-locked Encryption Made Practical

Time-locked encryption can encrypt a message to a future time such that it can only be decrypted after that time. Potential applications include sealed bid auctions, scheduled conﬁdential transactions, and digital time capsules. Prior practical schemes for time-locked encryption rely on a clock-equipped trusted server, who periodically publishes a time-speciﬁc decryption key based on a long-term secret. Their main idea is to model time periods as identities in an identity-based encryption scheme. While such schemes allow encryption to a future time periods, they offer limited support for decryption of past ciphertexts. In particular, they force a client to be online when the key is published, or interact with the server to re-generate the key. This paper proposes a new notion of time-locked encryption where an aggregated decryption key can be used to de-crypt any ciphertext locked to a prior time. Furthermore, we decentralize the trust among a number of servers, such that it can tolerate up to a threshold number of (malicious) corrup-tions. We call our notion threshold aggregated time-locked encryption (TATLE). We propose a practical construction that supports compact decryption keys as well as compact cipher-texts (both logarithmic in the total lifetime). Our construction is based on bilinear pairing and adapts ideas from Canetti et al.’s binary tree encryption [Eurocypt 2003] and Naor et al.’s distributed pseudorandom functions [Eurocrypt 1999].
TACG_A_273525 279..295

Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy Abstract: Premature-ageing syndromes are a heterogeneous group of rare genetic disorders resembling features of accelerated ageing and resulting from mutations in genes coding for proteins required for nuclear lamina architecture, DNA repair and maintenance of genome stability, mitochondrial function and other cellular processes. Hutchinson–Gilford progeria syndrome (HGPS) and Werner syndrome (WS) are two of the best-characterized progeroid syndromes referred to as childhoodand adulthood-progeria, respectively. This article provides an updated overview of the mutations leading to HGPS, WS, and to the spectrum of premature-ageing laminopathies ranging in severity from congenital restrictive dermopathy (RD) to adult-onset atypical WS, including RD-like laminopathies, typical and atypical HGPS, more and less severe forms of mandibuloacral dysplasia (MAD), Néstor-Guillermo progeria syndrome (NGPS), atypical WS, and atypical progeroid syndromes resembling features of HGPS and/or MAD but resulting from impaired DNA repair or mitochondrial functions, including mandibular hypoplasia, deafness, progeroid features, and lipodystrophy (MDPL) syndrome and mandibuloacral dysplasia associated to MTX2 (MADaM). The overlapping signs and symptoms among different premature-ageing syndromes, resulting from both a large genetic heterogeneity and shared pathological pathways underlying these conditions, require an expert clinical evaluation in specialized centers paralleled by nextgeneration sequencing of panels of genes involved in these disorders in order to establish as early as possible an accurate clinical and molecular diagnosis for a proper patient management.
Anatomical Variations of the Anterior Part of the Circle of Willis - An Autopsic Study

The arterial circle of Willis (CoW), also called the arterial circle or circulus arteriosus cerebri, represents an anastomotic arterial canal located at the base of the brain, in the inter peduncular fossa, which connects the internal carotid and the verte brobasilar system. The purpose of this study is to identify anomalies/anatomical variants of the anterior part of CoW in the population of the North-Eastern region of Romania by researching macroscopic aspects of the constituent arteries of CoW obtained during the autopsy procedure. There was noted the presence or absence, variations in the shape, position, or trajectory of each arterial segment of the anterior part of the CoW, comparing them with the outcomes from other various international studies.
Boosting Full-Node Repair in Erasure-Coded Storage

As a common choice for fault tolerance in today’s storage systems, erasure coding is still hampered by the induced substantial trafﬁc in repair. A variety of erasure codes and repair algorithms are designed in recent years to relieve the repair trafﬁc, yet we unveil via careful analysis that they are still plagued by several limitations, which restrict or even negate the performance gains. We present RepairBoost , a scheduling framework that can assist existing linear erasure codes and repair algorithms to boost the full-node repair performance. RepairBoost builds on three design primitives: (i) repair abstraction, which employs a directed acyclic graph to characterize a single-chunk repair process; (ii) repair trafﬁc balancing, which balances the upload and download repair trafﬁc simultaneously; and (iii) transmission scheduling, which carefully dispatches the requested chunks to saturate the most unoccupied bandwidth. Extensive experiments on Amazon EC2 show that RepairBoost can accelerate the repair by 35.0-97.1% for various erasure codes and repair algorithms.
Patient Perceptions of Clinician's Empathy: Measurement and Psychometrics

The prominence of reciprocal understanding in patient–doctor empathic engagement implies that patient perception of clinician’s empathy has an important role in the assessment of the patient–clinician relationship. In response to a need for an assessment tool to measure patient’s views of clinician empathy, we developed a brief (5-item) instrument, the Jefferson Scale of Patient Perceptions of Physician Empathy (JSPPPE). This review article reports evidence in support of the validity and reliability of the JSPPPE.
Role of leverage and liquidity risk in asset pricing: evidence from Indian stock market

Purpose – Asset pricing revolves around the core aspects of risk and expected return. The main objective of the study is to test different asset pricing models for the Indian securities market. This paper aims to analyse whether leverage and liquidity augmented five-factor model performs better than Capital Asset PricingModel (CAPM), Fama and French three-factor model, leverage augmented four-factor model and liquidity augmented four-factor model. Design/methodology/approach – The data for the current study comprises records on prices of securities that are part of the Nifty 500 index for a time frame of 14 years, that is, from October 2004 to September 2017 consisting of 183 companies using time series regression. Findings – The results indicate that the five-factor model performs better than CAPM and the three-factor model. The model outperforms leverage augmented and liquidity augmented four-factor models. The empirical evidence shows that the five-factor model has the highest explanatory power among the entire asset pricingmodels considered. Practical implications – The present study bears certain useful implications for various stakeholders including fund managers, investors and academicians. Originality/value – This study presents a five-factor model containing two additional factors, that is, leverage and liquidity risk along with the Fama-French three-factor model. These factors are expected to give more value to themodel in comparison to the Fama-French three-factor model.
Effects of Palaseal Coating Agent on Surface Roughness of Heat-polymerized Denture Base Acrylic Resins

The objective of this study was to evaluate effects of Palaseal on surface roughness of acrylic resins which passed different polishing techniques. One hundred eighty heat-polymerized polymethymethacrylate specimens were fabricated and finished with abrasive sandpaper. Then they were randomly equally divided into six groups. A control group (N) was neither polished nor Palaseal coated. The others were experimental groups as follows: No polishing with Palaseal coating (NC), pumice and Tripoli polishing without coating (P), pumice and Tripoli polishing with coating (PC), silicone points polishing without coating (S), silicone points polishing with coating (SC). Changes in surface roughness were measured with a profilometer and calculated Ra of specimens. SEM was utilized for surface visualization and surface roughness confirmation. Two-way ANOVA and Tukey Honestly Significant Difference (HSD) were used for statistical analysis. Group (N) had the highest mean Ra value (670.5 nm.) whereas group (PC) had the lowest mean Ra value (241.9 nm.). Groups (N, NC) had the mean Ra value (670.5, 394.5 nm.) significantly (P<0.01) more than groups (S, SC) (300.1, 254.9 nm.) and groups (P, PC) (283.2, 241.9 nm.) respectively. Differences of the mean Ra values between Palaseal uncoated groups (N, P, S) and coated groups (NC, PC, SC) were statistically significant (P<0.01). Lastly, there was interaction between surface polishing and Palaseal coating. Palaseal coating on heat polymerized acrylic resins enhanced surface smoothness of acrylic resins polished with pumice and Tripoli and silicone points, including finished with abrasive sandpaper.
Impact of [Ga]/[In+Ga] Ratio on the Generation- Recombination Rates of Cu(In,Ga)Se2 Solar Cells

The changes in the performance that happen in the cells when varying the Ga content are discussed using simulation program Solar Cell Capacitance Simulation one-dimensional (SCAPS-1D). The efficiency of the solar cells reaches a maximum value when Ga concentration at the junction reaches x=0.3 due to the minimum defect concentration in the absorber at x=0.3; beyond this value, the increase of the ratio x becomes detrimental and the efficiency drops drastically. The effect of the [Ga]/[(In+Ga)] ratio (x) for different absorber thickness on the generation and recombination rates is analyzed. The results exhibit that the carrier generation rates decrease with increasing x in the CIGS bulk due to the enhancement of the band gap and therefore the defect concentration in the absorber. As the cells thickness is reduced the effect of the x becomes more important. For the thick layers the dominant recombination mechanism is in the bulk. However, for thinner ones the dominant recombination is in the space charge region (SCR). The recombination rates are hardly affected by the x when increasing the thickness of the absorber due to the lower absorption at the back contact for thick layers. Keywords— CIGS; Generation; Recombination; [Ga]/[Ga+In] ; SCAPS
GWAS Hits for Bilateral Convergent Strabismus with Exophthalmos in Holstein Cattle Using Imputed Sequence Level Genotypes

Bilateral convergent strabismus with exophthalmos (BCSE) is a malformation of the eyes and is recognized as a mild but progressive disorder that affects cattle in the first two years of life. This most likely inherited disorder is rarely described in cattle resembling autosomal dominantly inherited forms of human progressive external ophthalmoplegia (PEO). In German Braunvieh cattle, two linked genome regions were found that could be responsible for the development and/or progression of BCSE. The goal of this study was to phenotypically characterize BCSE in Holstein cattle from Germany and Switzerland as well as to identify associated genome regions by GWAS. The clinicopathological phenotype of 52 BCSE-affected Holstein cattle was in accordance with the phenotype described in German Braunvieh cattle, but in addition, signs of degeneration and cellular infiltration in the eye muscles were found. By using imputed sequence level genotype data, three genome-wide significant GWAS hits were revealed on different chromosomes that were not detected by initial GWAS based on high density SNP array data highlighting the usefulness of this approach for mapping studies. The associated genome regions include the ABCC4 gene as well as markers adjacent to the NCOR2 and DNAJC3 genes all illustrating possible functional candidate genes. Our results challenge a monogenic mode of inheritance and indicate a more complex inheritance of BCSE in Holstein cattle. Furthermore, in comparison to previous results from German Braunvieh cattle, it illustrates an obvious genetic heterogeneity causing BSCE in cattle. Subsequent whole genome sequencing (WGS)-based analyses might elucidate pathogenic variants in the future.
Activism and Indexing in Equilibrium*

We study a dynamic general equilibrium production economy intermediated by actively and passively managed funds. Two actively managed types arise endogenously through a search mechanism. Activists are socially valuable because they improve productive efficiency. Quants displace activists by buying efficient firms. A representative household allocates its wealth to activist, quant, and index funds. We characterize the equilibrium impact of changes in search costs, productive efficiency, and index fees. While a decrease in the passive index fee is beneficial to households through cheaper diversification, it can negatively impact the overall efficiency of the economy by reducing the number of activists.
Assessing the performance of Massive Online Open Courses: does strategy matter? An empirical case study of POK (PoliMi Open Knowledge) experience, 2014/15 (0238)

Background and research questions The MOOCs (Massive Open Online Courses) have become one of the main challenges for the higher education. The relevance of this new tool for digital learning is related with its major features: (i) courses are “massive” (i.e. allowing scalability), (ii) open to everyone interested in a topic, and (iii) available online just thanks to an internet connection and a digital device. Massive Open and Online Courses (MOOCs) are then an example of “disruptive innovation” that could revolutionize education as we know it (Christensen & Eyring, 2011). This research is focused on the MOOC platform developed by Politecnico di Milano, the first Italian university to develop its own portal: POK (PoliMi Open Knowledge). This online platform has its own unique strategy: not as a substitute to traditional education but as a “support”, by facilitating, or actually “bridging”, the transitions at key stages of the educational path – from high school to university, from bachelor to master degree, from university to the work environment: “MOOCs to bridge the gaps” (Politecnico di Milano, 2015). The case of Politecnico di Milano represents a significant opportunity of research, thanks to its high international reputation, its technical/engineering background and, as said, its explicit strategy. Furthermore, a considerable benefit of focusing the research on POK platform is the availability of a large number of data concerning, not only POK users, but also all Politecnico di Milano students.
The ACA Medicaid Expansion’s Impact on Bankruptcy

This paper explores the relationship between the ACA Medicaid Expansion and the bankruptcy rate in states that did and did not expand their Medicaid programs. In general, past research has found that the Medicaid expansions of the 1990s are associated with a decrease in bankruptcy rates, but as of yet, there has been little formal research into changes in the bankruptcy rate as a result of the 2014 Medicaid expansion. Utilizing a difference-in-differences analysis, I find that the bankruptcy rate fell more in states that did expand than those that did not expand in the post-expansion timeframe, lending evidence to the 2014 ACA Medicaid expansion having decreased the bankruptcy rate.
The Accuracy of Japanese Administrative Data in Identifying Acute Exacerbation of Idiopathic Pulmonary Fibrosis

Background: This study aimed to develop criteria for identifying patients with acute exacerbation of idiopathic pulmonary fibrosis (AE-IPF) from Japanese administrative data and validate the pre-existing criteria. Methods: This retrospective, multi-center validation study was conducted at eight institutes in Japan to verify the diagnostic accuracy of the disease name for AE-IPF. We used the Japanese Diagnosis Procedure Combination data to identify patients with a disease name that could meet the diagnostic criteria for AE-IPF, who were admitted to the eight institutes from January 2016 to February 2019. As a reference standard, two respiratory physicians performed a chart review to determine whether the patients had a disease that met the diagnostic criteria for AE-IPF. Furthermore, two radiologists interpreted the chest computed tomography findings of cases considered AE-IPF and confirmed the diagnosis. We calculated the positive predictive value (PPV) for each disease name and its combination. Results: We included 830 patients; among them, 216 were diagnosed with AE-IPF through the chart review. We combined the groups of disease names and yielded two criteria: the criteria with the highest PPV (0.72 [95% confidence interval 0.62 to 0.81]) and that with a slightly less PPV (0.61 [0.53 to 0.68]) but more true positives. Pre-existing criteria showed a PPV of 0.40 (0.31 to 0.49). Conclusion: The criteria derived in this study for identifying AE-IPF from Japanese administrative data show a fair PPV. Although these criteria should be carefully interpreted according to the target population, our findings could be utilized in future database studies on AE-IPF.