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Oleksiy Oleksiyovich Goncharenko (; born in Odesa, 16 September 1980) is a Ukrainian politician, member of the Ukrainian parliament, member of the Ukrainian delegation to the Parliamentary Assembly of the Council of Europe, Vice President of the PACE Committee on Migration, Refugees and Internally Displaced Persons, founder of the Ukrainian network of educational and cultural centres  – Goncharenko Centre. In 2014, he was elected to the Verkhovna Rada on the party list of Petro Poroshenko Bloc. In the 2019 Ukrainian parliamentary election Goncharenko was reelected as an independent candidate in single-seat constituency 137 (Podilsk).

Biography
Goncharenko is a son of former mayor of Odesa Oleksiy Kostusyev. His parents divorced when he was three years old.

From 1999 until 2001 Goncharenko worked in the Odesa emergency medical station. In 2002 he graduated with honors from Medical University, but chose a political career over a medical one.

In 2002, at age 21, he ran unsuccessfully for the Odesa City Council of the District in the village Tairove. After that he worked as an assistant for a deputy of the city council.

From 2002 Goncharenko was a student at Financial University under the Government of the Russian Federation in Moscow, Russia (Graduate School of Financial Management). He graduated from the Academy in 2005, receiving a degree in economics.

Political activity
In 2005 he was elected chairman of the Odesa city organization of the party Soyuz.

In 2006 and 2010 he was elected to the Odesa City Council for Party of Regions.

During the 2012 Ukrainian parliamentary election he was a candidate in majority district 133 (in Odesa) lost to Ihor Markov with 20.6% of the votes (Markov gained 26.6%).

Before Euromaidan, Goncharenko was a member of the Party of Regions. On 19 February 2014 after the first deaths of the Euromaidan-protests Goncharenko wrote the statement on his withdrawal from the Party of Regions.

In the 2014 Ukrainian parliamentary election he was elected into the Ukrainian parliament for Petro Poroshenko Bloc placed number 40 on the party list. He became deputy head of the faction.

In the 2019 Ukrainian parliamentary election Goncharenko was reelected as an independent candidate in single-seat constituency 137 (Podilsk). Goncharenko is a member of the European Solidarity faction in the Verkhovna Rada.

On 1 March 2015 Goncharenko was arrested by Russian police during Nemtsov Memorial March. According to Goncharenko when in detention he was beaten and deprived of medical and legal help. Goncharenko was released from prison the next day but he promised to sue Russian Ministry of Internal Affairs.

He was included in the list of sanctions of the Russian Federation

PACE
Since 2015, Oleksiy Goncharenko has been a member of the Permanent Delegation of the Verkhovna Rada to the Parliamentary Assembly of the Council of Europe. Throughout all these years, he sharply criticised Russia for violating human rights. Since 2019, he has opposed the return of the Russian delegation to work in PACE.

During his speeches in the Parliamentary Assembly, he criticised Moscow for human rights violations in the temporarily occupied Crimea and parts of the Donetsk and Luhansk regions, fought against Russian propaganda and narratives that the Kremlin planted through its delegates in PACE.

On 9 October 2018, Oleksiy Goncharenko spoke at a meeting of the Parliamentary Assembly of the Council of Europe in large rubber gloves. He said that without gloves it would be "unsafe to shake hands and touch door handles", hinting at the accusations of Russia in the poisoning of Skripals.

He repeatedly raised the issue of human rights violations in Belarus and the illegal actions of the Lukashenko regime. The Secretary General of the Council of Europe and the Committee of Ministers of the Council of Europe supported the creation of a special group that would be able to monitor and follow the situation in Belarus following Olekii's many statements on the issue. Belarus is not a member of the Council of Europe, therefore it does not have its own delegation there but Goncharenko actively promotes the topic of sanctions against the dictatorial regime of Lukashenko in Belarus and works towards the state's democratisation.

During the spring session in PACE in 2022, he actively advocated the creation of an international tribunal that would investigate Russian war crimes in Ukraine. As a result, PACE called for the urgent establishment of such a tribunal soon afterwards.

War in Ukraine
After the start of a full-scale Russian invasion of Ukraine, Oleksii continued to fight Russian propaganda, which Goncharenko opposed to throughout all 8 years of the war. He began to actively cooperate with dozens of international media in order to bring the truth to the world about the real situation in Ukraine, as well as to draw direct attention to the necessary support measures that Western countries can provide.

He held online meetings with US congressmen and advocated tougher sanctions against Russia. For example, during a conversation with 50 US congressmen, he insisted on imposing an embargo on Russian oil and gas. Later, the United States imposed a ban on the export of Russian oil.

During the spring session of PACE in April 2022, he advocated holding a special international tribunal for Russian war crimes in Ukraine. As a result, the Parliamentary Assembly adopted a resolution calling for the establishment of such a tribunal.

During a visit to London in May 2022, he raised the issue of creating an international tribunal in a conversation with Foreign Minister Liz Truss. The head of the British Foreign Office assured that she had already discussed this possibility with the country's attorney general. In addition, Goncharenko actively promoted the idea of seizing the assets of Russian oligarchs and using these funds for the benefit of Ukraine.

During the NATO summit in Madrid, he raised the issue of security in Ukraine and in Europe with leading European politicians.

Goncharenko supports Kosovar independence.

In December 2022, an international coalition on sanctions was created. Congressman, co-chair of the Helsinki Commission of the US Congress Steve Cohen, congressman, member of the Helsinki Commission Joe Wilson, MP Oleksiy Goncharenko, member of the Parliament of Great Britain Robert Sealy, head of the Estonian delegation to the PACE Erik Kross, member of the European Parliament from Lithuania Pietras Aushtrevičius, head of the Polish delegation at the Council of Europe Arkadiusz Mulyarczyk. They have already sent requests to Anthony Blinken and Josep Borrell for sanctions against Roman Abramovich, Ksenia Sobchak, Vladimir Potanin, Vladimir Lisin, Philipp Kirkorov and other Putin's close friends.

Belarus
Before the elections in Belarus in 2020, Goncharenko understood that Lukashenko could usurp power and created an inter-factional association "For Democratic Belarus" in the Verkhovna Rada in order to monitor the situation in the neighbouring country at the parliamentary level. Later Lukashenko really did not want to transfer power in a democratic way and began to persecute the opposition, suppress mass protests by force, use torture on detained protesters, and subsequently open criminal cases.

Goncharenko has repeatedly raised the issue of human rights violations in Belarus in the Parliamentary Assembly of the Council of Europe. The Secretary General of the Council of Europe and the Committee of Ministers of the Council of Europe supported the creation of a special group that would be able to monitor and follow the situation in Belarus.

Goncharenko is in contact with the office of Svetlana Tikhanovskaya, meets with her on several occasions, and they discuss the state of human rights in Belarus, as well as possible support from Ukraine, including ways to help and support Belarusians in Ukraine.

Goncharenko centres
Oleksii Goncharenko is a founder of the Ukrainian network of educational and cultural centres  – Goncharenko Centre. The main goal of them is to enable residents of small towns of Ukraine to learn foreign languages for free and improve their skills in other areas of science, art, and provide social activities opportunities.

Thousands of children and adults visited social and cultural centres, thanks to free courses, schoolchildren improved their knowledge and easily entered universities, and adults received a great motivation for learning foreign languages and inspiration for mastering new knowledge. More than 5 thousand people have completed the English language course and received the A2 language proficiency level. 1100 children prepared for the exam in English and in history at the Goncharenko Centres. Goncharenko Centres are visited by about 25 thousand people every month.

The Goncharenko Centres are funded by patrons and sponsors who are ready to invest in education and a better future for Ukrainians.

As of February 23, 2022, there were 24 Goncharenko Centres, including three centres in Donbas - in Kramatorsk, Konstiantynivka, and Lyman. The Goncharenko Centre employs about 89 people. After the start of the war, the Goncharenko Centres were reformatted into volunteer hubs, which now help not only the injured and Ukrainians in need, but also the military. The centres located in Donbas, and in the Kharkiv region – in the village of Dergachi, as well as in Chernihiv (in these cities the situation was the most difficult due to shelling and the Russian offensive) have worked for as long as it was possible.

Other
On 23 February 2017, it was reported that Goncharenko had been kidnapped by unidentified attackers in Odesa. A few hours in a televised interview Goncharenko said he "was in a safe place" and Ukrainian prosecutors reported that the people involved in the kidnapping had been detained. Goncharenko claimed that his abduction was staged by the Ukrainian Security Service so that "separatist, terrorist groups operating in Odesa who planned causing me serious bodily harm" could be arrested.

On 1 November 2018, Oleksiy Goncharenko was included in the Russian sanctions list in connection with Ukraine's unfriendly actions towards citizens and legal entities of the Russian Federation.

On 8 February 2017, Goncharenko painted with red paint the word "Nein" (which is translated from German as "No") on the fragment of the Berlin Wall, installed in front of the Embassy of Germany in Kyiv. With this action, Goncharenko protested against the statement of the German Ambassador to Ukraine, Ernst Reichel, who said that the absence of Russian troops was not a prerequisite for holding elections in the Donbas. The Embassy of Germany in Kyiv responded to the incident with the following statement: "The Embassy of the Federal Republic of Germany is very much regretting the damage and disfigurement of the fragment of the historic Berlin Wall located on the territory of the Embassy by deputy Goncharenko. At the same time, there is a violation of the Vienna Convention on Diplomatic Relations."

Earnings
In 2010, in an interview with journalist Roman Skrypin, Goncharenko explained the origin of the 700 thousand dollars indicated in the 2010 declaration. He said that he borrowed the money from his father-in-law who worked at Gazprom.

According to the electronic declaration, in 2016, Goncharenko earned UAH 152.8 thousand as a deputy, he also received UAH 166.36 thousand compensation for rental housing, as well as UAH 26.4 thousand compensation for travel throughout the country. Deposits in banks brought Goncharenko UAH 97 thousand. His wife received from business activities UAH 1.43 million. The deputy had UAH 177 thousand and € 54.5 thousand on accounts in banks, as well as USD 45 thousand in cash. Goncharenko declared two apartments in Kyiv (with an area of 141.2 m²) and Odesa (with an area of 75.5 m²). Olha Goncharenko owns an apartment in Mykolaiv with an area of 54.5 m².

Personal life
Goncharenko is married to Olha, with whom he shared classes at Medical University. The couple has two sons - Oleksiy and Kyrylo.

References

External links
Personal website

1980 births
Living people
Politicians from Odesa
Odesa National Medical University alumni
Russian Presidential Academy of National Economy and Public Administration alumni
Party of Greens of Ukraine politicians
Soyuz (political party) politicians
Party of Regions politicians
Petro Poroshenko Bloc politicians
Eighth convocation members of the Verkhovna Rada
Ninth convocation members of the Verkhovna Rada
Members of the Parliamentary Assembly of the Council of Europe
Ukrainian YouTubers


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text:
package com.github.fppt.jedismock.operations.transactions;

import com.github.fppt.jedismock.datastructures.Slice;
import com.github.fppt.jedismock.operations.RedisCommand;

import com.github.fppt.jedismock.operations.RedisOperation;
import com.github.fppt.jedismock.server.Response;
import com.github.fppt.jedismock.storage.OperationExecutorState;

import java.util.List;

@RedisCommand(value = "watch", transactional = false)
public class Watch implements RedisOperation {
    private OperationExecutorState state;
    private List<Slice> keys;

    Watch(OperationExecutorState state, List<Slice> keys) {
        this.state = state;
        this.keys = keys;
    }

    @Override
    public Slice execute() {
        state.watch(keys);
        return Response.OK;
    }
}

redpajama_set_name: RedPajamaGithub


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text:
Longitudinal association between an overall diet quality index and latent profiles of cardiovascular risk factors: results from a population based 13-year follow up cohort study
Fatemeh Nouri1,2,3,
Masoumeh Sadeghi4,
Noushin Mohammadifard5,
Hamidreza Roohafza6,
Awat Feizi2,4 &
Nizal Sarrafzadegan3
Cardiovascular diseases (CVDs) are associated with an unhealthy lifestyle, including poor diet. Indices reflecting the overall quality of diets are more effective than single food or nutrient-based approaches in clarifying the diet disease relationship. The present study aims to use latent variable modeling to examine the longitudinal joint relationships between the latent profiles of CVDs risk factors and the diet quality index (DQI).
A total of 4390 Iranian adults aged 35 and older within the framework of the Isfahan Cohort Study were included in the current secondary analysis. DQI focused on food groups, including fast foods, sweets, vegetables, fruits, fats, and proteins, based on a validated food frequency questionnaire. The score of DQI has a range between 0 (indicating healthy and high diet quality) and 2 (indicating unhealthy and low diet quality). Blood pressure (BP), anthropometric measurements, blood glucose, serum lipids, and high-sensitivity C-Reactive Protein (hs-CRP) were measured according to standard protocols in 2001, 2007, and 2013 to evaluate the profiles of CVDs risk factors. A Bayesian Multidimensional Graded Responses Linear Mixed Model was used for data analysis.
At baseline, the participants' mean ± standard deviation age was 50.09 ± 11.21, and 49.5% of them were male. Three latent profiles of CVDs risk factors were derived: (1) Fit Pre-Metabolic Syndrome (FPMS) profile characterized by normal anthropometric indices and some impaired metabolic risk factors; (2) DysLipoproteinemia Central Obese (DLCO) profile with abdominal obesity and impaired low-density lipoprotein cholesterol as well as other normal risk factors; (3) Impaired Laboratory Inflammatory State (ILIS) profile with impaired high-density lipoprotein cholesterol and hs-CRP and other normal risk factors. In general, higher scores of the extracted latent profiles indicated more impaired function in the related risk factors. After controlling for various potential fixed and time-varying confounding variables, a significant positive longitudinal association was found between FPMS, DLCO, and ILIS profiles and DQI (β (95% CrI): 0.26 (0.03,0.51), 0.14 (0.01,0.27), and 0.24 (0.11,0.38), respectively), demonstrating that lower overall diet quality was associated with more impaired function of the related risk factors.
More adherence to a healthy quality diet is associated with lower levels of all emerging latent profiles of CVDs risk factors. Increasing the knowledge of the community about the importance of the quality of consumed foods may help to prevent CVDs. It is recommended that further investigations, particularly interventional studies, be conducted to confirm our results.
The Global Burden of Disease (GBD) study released that cardiovascular diseases (CVDs) as one of the most prominent non-communicable diseases (NCD) was the leading global cause of death since 1980 and a leading cause of disease burden in the Eastern Mediterranean Region [1]. CVDs are predisposed by various risk factors such as increased low-density lipoprotein cholesterol (LDL-C), decreased high-density lipoprotein cholesterol (HDL-C), high blood triglyceride concentrations (TG), high blood pressure (BP), hyperglycemia, high body mass index (BMI), abdominal obesity and high inflammatory state [1,2,3,4]. When the impairment coincides with risk factors, it leads to a dramatic increase in the incidence of CVDs and associated morbidity and mortality [5, 6].
The role of nutrition in the etiology of chronic diseases and its risk factors has been widely investigated. GBD 2017 declared that the dietary risks were responsible for 55% of CVDs deaths and 60% of disability-adjusted life years in low- and middle-income countries [7]. Several systematic reviews and meta-analyses of clinical trials and observational studies have indicated that adherence to a healthy diet is associated with decreased CVDs risk factors, incidence, and mortality [8,9,10,11,12]. However, there is inconsistency between an unhealthy diet and development of CVDs [7, 10, 13, 14].
Previous longitudinal studies assessing the effects of diet on CVDs and its risk factors were limited to specific food groups without considering synergic effects on health outcomes [15, 16]. Alternatively, they focused mainly on separately assessing risk factors without considering the interdependence of risk factors [17], or they were limited to particular groups of participants [12, 17], or considered the baseline assessment without considering the changes over time [18, 19]. In addition, most previous studies neglected the distinct combinations of risk factors and were limited to a simplistic approach with the adoption of ordinal or categorical unidimensional observed variables (i.e., metabolic syndrome, obesity/metabolic phenotype) [20, 21], leading to loss of information, and the failure to identify relationships among different variables affecting outcomes. Latent variable modeling can be used to define multi-component constructs like CVDs risk factors and to obtain useful information about the clustering of variables, along with controlling for measurement error. Measurement error can reduce the statistical power of study, yield biased or inconsistent parameter estimates, hide real effects and invert signs of the estimated coefficients [22, 23].
By focusing on tackling the above-mentioned challenges, the aim of the current study was to investigate the longitudinal joint relationship between the overall diet quality index (DQI) and the comprehensive composite assessments of CVD risk factors as latent profiles of CVD risk factors within a Bayesian Multidimensional Graded Responses Linear Mixed Model (MGRLMM) framework. The study was conducted in a representative and large sample of the general Iranian population who participated in the Isfahan Cohort Study (ICS). We extracted three comprehensive correlated latent variables as latent profiles of CVD risk factors, by combining repeated measurements of eight risk factors using the measurement part of the MGRLMM. In structural part of the MGRLMM, the latent profiles of CVD risk factors as multivariate dependent variables were regressed on the time-varying DQI as the independent variable controlling for the impact of fixed and time-varying confounding variables.
The current study was conducted under the framework of ICS. ICS is a community-based, longitudinal ongoing cohort study including a representative sample of 6504 adults aged 35 years old or over. The participants were selected from urban and rural areas of Arak, Isfahan, and Najafabad at baseline in 2001. Details about the multistage random sampling procedure (based on urban/rural, sex, and age distribution of the community), along with data collection and study design were published previously [24, 25]. The study was approved by the Ethics Committee of Isfahan Cardiovascular Research Center, a World Health Organization collaborating center. After obtaining informed written consent, physical examinations, laboratory measurements, and questionnaire-based interviews were performed in 2001 and repeated in 2007 and 2013. Of 6504 recruited participants in ICS in 2001, the subjects who had a previous history of CVDs, or those who were lost in follow-ups, or those who had missing data on the variables in the three phases of the study were excluded from the analysis. The reduced dataset consisted of 4390 subjects and 7121 observations from the participants during the study period, of which 2817, 2840, and 1464 observations were made in 2001, 2007, and 2013, respectively.
Assessment of covariates
Trained health professionals conducted a detailed interview in 2001, 2007, and 2013 based on a questionnaire to identify the recruited participants' sociodemographic characteristics, including age (years), sex (female/male), education years (0–5 year/6–12 years/ > 12 years), place of residence (rural/urban) and marital status (married/single, divorced, widowed)), as well as information on lifestyle behaviors, including physical activity, smoking status (ever smoke (current and past) /never smoke), and coping strategies. In addition, trained nurses and physicians performed physical examinations and medical interviews to determine the self and family history of hyperlipidemia, hypertension, diabetes, myocardial infarction, and stroke, as well as anti-dyslipidemia, hypertensive and diabetic medications used by the participants in three phases of the study.
Data on physical activity, expressed as metabolic equivalent task minutes per day (MET-m/d), were obtained through the International Physical Activity Questionnaire (IPAQ), whose reliability and validity were reported in previous studies [26, 27]. The whole score of physical activity was assessed based on four fields: homework, leisure time, worksite, and transportation. For the current analysis, we grouped total physical activity based on tertiles in each phase.
A validated two-factor 30-item stress management questionnaire was used to assess adaptive (20 items) and maladaptive (10 items) cognitive and behavioral coping strategies [28, 29]. Each item determines the frequency of using each strategy through a 3-point scale ranging from 1 (never), 2 (sometimes), and 3 (often). For scoring in each individual, the number of questions answered "often" is divided by the number of questions answered "often" and "sometimes" and is considered the percentage of maladaptive and adaptive skills. For the current analysis, we grouped maladaptive and adaptive coping strategies based on tertile in each phase.
Assessment of CVDs risk factors
In this study, anthropometric measurements, serum concentrations of lipids, Fasting Blood Glucose (FBG), high-sensitivity C-Reactive Protein (hs-CRP), Systolic BP (SBP) and Diastolic BP (DBP) were measured according to standard protocols [25]. In the analysis, we considered following three categories for each CVDs risk factor (Normal, Borderline, Impaired), which was recommended by the Third Report of the National Cholesterol Education Program's Adult Treatment Panel (ATP-III): BP (SBP)/DBP) ≤ 120/80 mm Hg, 120/80 to 140/90 mm Hg, and > = 140/90 mm Hg; BMI (weight in kg divided by the square of height in meters) < 25 kg/m2, 25 to 30 kg/m2, and ≥ 30 kg/m2; LDL-C < 130 mg/dl, 130 to 160 mg/dl, and ≥ 160 mg/dl; TG < 150 mg/dl, 150 to 200 mg/dl, and ≥ 200 mg/dl; FBG < 110 mg/dl, 110 to 126 mg/dl, and ≥ 126 mg/dl; HDL-C > 60 mg/dl, 40 to 60 mg/dl, and < 40 mg/dl; [30]; hs-CRP < 1 mg/l, 1 to 3 mg/l, and > 3 mg/l; [30, 31] and waist circumference (WC) < 80 cm, 80 to 88 cm, and > 88 in females and < 94 cm, 94 to 102 cm, and > 102 in males [30, 32, 33].
Dietary assessment
Dietary intake information was assessed by trained technicians, with a qualitative, 48-item food frequency questionnaire (FFQ) in the three phases of the study. A validation study comparing FFQ to the quantitative amount of food intake assessed by the mean of single 24-h recall and two food records revealed good relative reproducibility and validity of FFQ [34]. For each item in FFQ, the participants were asked about the frequency of consumption in the last preceding year on a daily, weekly, or monthly basis [34]. Data were converted to weekly consumption for analysis proposes. DQI focused on seven food groups, including fast food (4 items); vegetables and fruit (7 items); legumes, chicken, soy protein or fish (4 items); sweets (6 items); butter, hydrogenated oil, animal fats, or ghee (4 items); egg, whole dairy products, or meat (4 items); and olive and non-hydrogenated oil (2 items). Frequency responses in seven categories were scored as 2, 1, or 0, in which a higher score indicated a lower nutritional value. In calculating DQI, for example, for the 'sweets' category, a score of 2 was given for a frequency of four or more times weekly, a score of 1 was given to two or three times weekly, and a score of 0 was given to none or once per week. Details about the scoring method of DQI were published previously [35]. The whole score for DQI was considered by summing the answers to the responded items by each participant dividing by the number of items. The score of DQI has a range between 0 (indicating healthy and high overall diet quality) and 2 (indicating unhealthy and low overall diet quality).
Data were analyzed using the R statistical software version 3.5.3 (R Core Team, 2019), and the Bayesian model fitting was performed in Stan (via RStan package, version 2.18.1) [36]. Moreover, using the Shinystan package (in R 3.5.3 environment), the Bayesian model convergence was monitored by Gelman-Rubin diagnostics (scale reduction R hat < 1.1) and trace plots (the absence of apparent trends).
Continuous and categorical data were summarized by the mean ± standard deviation (SD) and absolute frequencies (percentages), respectively. The linear mixed model, mixed effect logistic model, and the mixed effect ordered logistic model were performed to analyze continuous, dichotomous, and ordinal variables (Tables 1 and 2) across the three phases of the study, respectively.
Table 1 Characteristics of study participants in terms of lifestyle variables over phases of Isfahan Cohort Study (ICS)
Table 2 Cardiovascular Diseases (CVDs) risk factors of study population in three phases of Isfahan cohort study
We first conducted an exploratory factor analysis to examine the unidimensional assumption of 8 CVD risk factors based on the baseline data. Second, in order to evaluate the dimensionality, we applied multivariate analysis to extract multiple latent variables of the 8 CVDs risk factors using the measurement part of the MGRLMM via the Bayesian inference framework. In MGRLMM, eight CVDs risk factors were considered ordinal variables with three response categories (as listed above). In order to evaluate the number of latent variables of 8 CVDs risk factors as latent profiles, four different exploratory MGRLMMs with two, three, four, and five latent variables were fitted [37]. In MGRLMM, latent variables were considered as continuous variables, so that higher scores of latent variables indicated more impaired function in the related risk factors. We compared four competing MGRLMMs using Watanabe-Akaike information criterion (WAIC) and leave-one-out (LOO) cross-validation via LOO package in R3.5.3 environment. A lower score of both indices reflects the better the fitted model [38, 39]. In general, a common method for model selection is to balance the goodness of fit indices with the principle of parsimony (the lower number of parameters) and conceptual grounds [40].
To assess the longitudinal association of CVD risk factors with DQI considering the impacts of potential confounders, the structural part of MGRLMM was used [37]. In the structural part of MGRLMM, latent profiles were regarded as multivariate response variables while DQI was considered an independent variable. The model was adjusted for confounding variables and subject-specific random effects. In this model, in addition to independent and confounding variables being considered time-varying, the CVD risk factors changes were monitored during 13 years of follow-up. Advantages of MGRLMM include easy handling of the unbalanced structure of the dataset due to mistimed measurements and controlling for measurement error [22, 23, 37].
Crude and adjusted coefficients (β) and 95% credible interval (CrI) were presented in five different model strategies. We adjusted for demographic variables, including gender, age, marital status, education level, and place of residence in the second model. We further controlled for lifestyle-related variables, including smoking status, physical activity, and adaptive and maladaptive coping strategies of stress in the third model. Additional adjustments were made for anti-dyslipidemia, anti-diabetic, and anti-hypertensive medications in the fourth model. In the final model, a further adjustment was made for a family history of diabetes, hypertension, hyperlipidemia, myocardial infarction, and stroke. The statistical significance was assessed by 95% CrI in the Bayesian inference.
The participants' mean ± SD age was 50.09 ± 11.21 years at baseline, and 49.5% of them were male. The majority (92.2%) of the participants were married, and approximately 72% were from urban areas in 2001. More than two-third of the participants (70.3%) was illiterate or had primary education, while approximately 6.2% of the participants had college education.
Comparisons between lifestyle variables and phases of the study
Table 1 presents the lifestyle variables over the three phases of the study. The mean of DQI (as ranged from 0 to 2) was 1.02 ± 0.26, 0.74 ± 0.29, and 0.67 ± 0.28 in the observations of three phases of the study, respectively (adjusted P for trend < 0.001). The means of some food groups, including unhealthy fats (characterized by hydrogenated oil, ghee, animal fats, and butter), fast foods, and meat, egg, and whole dairy products, were considerably decreased during the study period (adjusted P for trend < 0.001). On the contrary, the result of the mixed effect model controlling for age and sex exhibited an increasing trend for healthy fats (characterized by non-hydrogenated and olive oil) from 2001 to 2013 (adjusted P for trend < 0.001). Besides, with regard to the trend analysis across follow-up time, family history and medications used were found to have an increasing trend over three phases of the study.
Comparisons between CVDs risk factors and phases of the study
Table 2 presents the mean ± SD of CVDs risk factors and absolute frequency (percentage) across the three response categories of CVDs risk factors for the study participants in the three phases of the study. In addition, Table 2 displays the frequency of participants with different numbers of impaired CVDs risk factors. Results of mixed effect models adjusted for age and sex showed significant changes for all studied CVDs risk factors from 2001 to 2013. The mean BMI, FBG, WC, and BP were significantly increased during the study period (adjusted P for trend < 0.001). The mean values of all lipid variables exhibited a significantly decreasing trend from 2001 to 2013 (adjusted P for trend < 0.001). However, after an initial increase in 2007, hs-CRP was decreased in 2013 (mean ± SD in 2001: 3.28 ± 1.51, 2007: 4.97 ± 3.78, and 2013: 3.12 ± 4.38; adjusted P for trend < 0.001). Similar features were observed in terms of the participants' frequency distribution across response categories of CVDs risk factors during the study period.
Extraction of latent profiles of CVDs risk factors
According to the Scree plot of EFA, three latent factors based on eigenvalues (> 1) were identified (see Additional file 1: Fig. S1). Therefore, given this evidence, the unidimensional assumption is unreasonable in analyzing CVD risk factors.
Additional file 1: Table S1 (in Additional file 1) presents the factor loadings (95% CrI) of the different competing exploratory MGRLMMs for extracting the dimensions of latent profiles of CVDs risk factors. For identifiability during the model fitting, the loadings of some CVDs risk factors were restricted to 1. Moreover, the results of the goodness of fit indices for the four different MGRLMMs compared are presented in Additional file 1: Table S1 (in Additional file 1). In our data, the model with three latent variables was considered as the best model compared to other competing models due to better fit indices (the lower scores of LOO and WAIC), more parsimonious estimation (the lower number of parameters), and more interpretable latent variables.
Table 3 depicts how latent profiles of the best model were extracted from eight CVD risk factors using factor loadings based on the measurement part of MGRLMM. The first latent profile, namely Fit Pre-Metabolic Syndrome (FPMS) was characterized by normal anthropometric indices (BMI and WC) with some impaired risk factors (HDL-C, FBG, hs-CRP), but it did not meet the criteria to diagnose metabolic syndrome. The second latent profile, labeled as DysLipoproteinemia Central Obese (DLCO), contained abdominal obesity with impaired LDL-C as well as normal FBG, HDL-C, and hs-CRP. The third one, named Impaired Laboratory Inflammatory State (ILIS), was considerably loaded with impaired HDL-C and hs-CRP as well as normal LDL-C, FBG, WC, and BP. As Table 3 shows, for identifiability during the model fitting, the loadings of BMI, TG, and BP were restricted to 1 on first, second, and third latent profile, respectively. In general, higher scores of latent profiles indicate more impaired function in the related risk factors.
Table 3 Factor loading (95% credible interval) for CVDs risk factors in three extracted latent profiles of CVDs risk factors in Isfahan Cohort Study
The longitudinal relationship between Diet Quality Index and latent profiles of CVDs risk factors
Table 4 represents the crude and adjusted models of the longitudinal joint associations of DQI with latent profiles of CVD risk factors based on the structural part of MGRLMM. Unadjusted and adjusted coefficients (β) and 95% CrI were presented in five different modeling strategies. In the crude model, we reached a significant positive joint association of each extracted FPMS, DLCO, and ILIS profile with DQI (β (95% CrI): 0.59 (0.36, 0.84), 0.35(0.20, 0.51), and 0.56(0.38, 0.79), respectively). In other words, higher scores of DQI (lower overall diet quality) were associated with higher scores of the latent profiles (more impaired function of the related risk factors), as anticipated. After controlling for demographic variables, higher scores of DQI were positively associated with higher scores of three profiles. The longitudinal association in later models was slightly reduced by further adjustment for other confounders, but this association remained significant. In the full adjusted model, a one-unit increase in the long-term DQI was associated with a 0.26-unit increase (β, 95% CrI: (0.03, 0.51)) in the score of the FPMS profile (more impaired HDL-C, FBG, and hs-CRP), a 0.14-unit increase (β, 95% CrI: (0.01, 0.27)) in the score of the DLCO profile (more impaired LDL-C and WC) and a 0.24-unit increase (β, 95% CrI: (0.11, 0.38)) in the score of the ILIS profile (more impaired hs-CRP and HDL-C).
Table 4 Bayesian estimated regression coefficients and 95% credible interval of the association of CVDs risk factors profiles and overall diet quality index in the Isfahan Cohort Study
This study clarified the joint longitudinal association between an DQI and the latent profiles of CVDs risk factors among the Iranian population from 2001 to 2013. In this study, of 8 CVDs risk factors, three major profiles, FPMS, DLCO, and ILIS, were identified. The FPMS profile was characterized by normal anthropometric indices with some impaired risk factors, but it did not meet the criteria to diagnose metabolic syndrome. The DLCO profile contained abdominal obesity with impaired LDL as well as other normal risk factors. The ILIS profile was considerably loaded with impaired HDL and hs-CRP and other normal risk factors. After controlling for various likely fixed and time-varying confounding variables, DQI was significantly and positively associated with all identified profiles, meaning that lower overall diet quality was associated with more impaired function of the related risk factors.
In some previous studies, metabolic phenotypes characterized by glucose, lipid profiles, BP, and inflammation were evaluated according to different categories of BMI, WC, body fat percentage or body size, ranging from the metabolically healthy (0 to 1 cardio-metabolic abnormality) and normal weight (MHNW) to metabolically unhealthy (2 or more cardio-metabolic abnormalities) and overweight or obese (MUHO phenotypes) [41] and their associations with diet quality indices have been assessed [21]. The results of a meta-analysis of cohort studies showed that all metabolically unhealthy phenotypes (MUHNW, MUHO) were associated with an increased incidence of CVDs. In addition, MHO subjects had a raised risk of CVDs [41]. Regardless of the simplistic approach with the adoption of unidimensional categorical observed variable in previous studies and the advanced approach with the adoption of multidimensional continuous latent variables in the current study, some of the identified metabolic/obesity phenotypes are partly similar to the latent profiles of CVDs risk factors in the present study. Metabolically unhealthy normal weight phenotype (MUHNW) found in previous studies is in accordance with our FPMS and ILIS patterns. Furthermore, metabolically healthy overweight or the obese phenotype (MHO) found in previous studies is similar to our DLCO pattern. Results of a cross-sectional study of Brazilian adults indicated those who were in the fourth quartile of the data-driven unhealthy dietary pattern, characterized by condiments, oils, juice, snacks, sweets, soda, alcoholic beverages, had an increased occurrence chance of the MHO phenotype, being consistent with our results. Moreover, the top quartiles of this pattern were associated with an increased occurrence chance of the MUHO phenotype. However, there were no significant associations of these patterns with the MUHNW phenotype [21], probably due to the reverse causality in cross-sectional studies. Moreover, this finding might be attributed to the used simplistic method of assessing CVDs risk factors without considering the correlation between outcomes.
Regardless of separately assessing without considering the interdependence of risk factors in previous studies, there were several similarities between our findings and diet quality indices assessed in previous studies on different populations. Results of a cross-sectional sample of the Irish population showed enhanced diet quality assessed by Dietary Approaches to Stop Hypertension (DASH) was associated with a more favorable lipoprotein profile, BMI, WC, waist to hip ratio, and CRP. The DASH diet focuses on the consumption of vegetables, fruits, beans, nuts, low-fat dairy, and whole grains, and limiting intake of sugar-sweetened beverages, red meat, sweets, saturated, and total fat [42], which are relatively similar to food items included in DQI. In addition, consistent with our findings, results of a meta-analysis of randomized controlled trials including a 1917 American population showed that DASH diet interventions led to significant reductions in SBP, DBP, LDL-C and total cholesterol [12]. Likewise, the synthesis of the information from 5 clinical studies in a systematic review and meta-analysis showed that adherence to the Nordic dietary pattern focused on consumption of fruits, vegetables, whole grains, legumes, rapeseed oil, fish, shellfish, seaweed, as well as low intake of salt, sugar-sweetened products, high-fat dairy, and meat resulted in a significant decrease in SBP, DBP, total and LDL cholesterol levels [43]. Furthermore, results of a review on observational studies suggested that the higher Healthy Eating Index (HEI) as a diet quality index (characterized by grains, fruits, vegetables, meat/beans, milk, cholesterol, sodium, total fat, saturated fat, and variety of food consumption) was associated with lower weight gain [44, 45]. Moreover, the main findings of a meta-analysis including 1,020,642 subjects of cohort studies as well as its updated version, suggested that high-quality diets based on HEI, alternate HEI (AHEI), and DASH score, were associated with a significant decrease of risk in CVDs incidence and mortality [11, 46].
Several studies have investigated the association between data-derived dietary patterns identified by posteriori or hybrid methods and CVDs risk factors.
An observational study of 7646 healthy Italian adults by models accounting for demographic and lifestyle variables indicated that unhealthy dietary patterns (characterized by high intake of tomato sauce, red meat, pasta, alcohol, animal fats, eggs, processed meat, margarine, butter, sugar, and sweets) were associated with higher levels of FBG, serum lipids, CRP, BP, and CVDs risk score. However, a prudent pattern, assessed by high intake of fish, legumes, vegetables, soups, fruits, and olive oil was associated with lower levels [47].
In addition, results of a cross-sectional study in Yazd, central Iran, demonstrated that a higher score of a healthy dietary pattern (high intake of fruits, vegetables, tomatoes, yogurt drinks, and organ meats) was associated with lower levels of high-sensitivity CRP [48]. In another study on a 2,037 severely obese Swedish population, an identified unhealthy dietary pattern characterized by high intake of cheese, cake, chocolate, low-fiber bread, and fast food, and restricted intake of vegetables and fruit was associated with significantly higher SBP, DBP, WC, BMI, total cholesterol, and TG during 10 years of follow-up [17].
In general, the associations found between overall diet indices (assessed by diet quality indices or dietary patterns) and CVDs risk factors in previous studies were concordant with our results and those expected by the foods included in an overall diet. However, in the mentioned studies, an overall diet has been associated with CVDs risk factors without considering the correlation between the outcomes with a focus on separately assessing risk factors. It is now well known that clusters of interconnected risk factors produce CVDs [49]. Therefore, an effective way to deal with CVDs would be to regard multiple interconnected risk factors as clusters while considering the correlation between outcomes and distinguishing differences between distinct combinations of risk factors.
The potential mechanisms explaining the more impaired profiles of CVD risk factors with lower overall diet quality are multifactorial owing to the emphasis of DQI on the combinations of various food items and groups. Based on nutritional studies, these diet scores can provide synergic effects on health outcomes compared to the effects described for individual dietary components or nutrients [11, 50, 51]. Higher scores of the DQI result in higher intake of saturated and trans fat [35]. The previous evidence suggested an association between trans fatty acid intake and impaired lipid profiles as well as abdominal obesity [52,53,54]. Furthermore, higher scores of DQI indicate more consumption of sweet products and simple carbohydrates from refined sources. It is now well known that high refined carbohydrate diets are associated with CVDs risk factors, including impaired lipid profiles and obesity [55]. Moreover, higher scores on DQI show lower consumption of fiber and antioxidant sources, including fruits, vegetables, and legumes. The evidence indicates that these foods have anti-inflammatory effects, thereby improving the cardiovascular health [16, 56,57,58].
To the best of our knowledge, no longitudinal study with repeated measurements across time has investigated the association between overall diet quality and latent profiles of CVDs risk factors using an MGRLMM. Advantages of the model include easy handling of the unbalanced structure of the dataset due to mistimed measurements and controlling for measurement error. The model used in the analysis due to subject-specific random effects is an applied tool to consider a correlation and comorbidity between outcomes and effects of unobservable confounding factors. Additionally, a large and representative sample in this study enables us to have adequate power to interpret our results. In this study, in addition to DQI and confounding variables being considered time-varying, the CVD risk factors as multivariate response variables were monitored during a 13-year follow-up. However, the findings in the current study have some limitations. The FFQ used in the current study did not provide information on nutrient density and portion sizes; therefore, in the current study, we could not assess the participants' whole energy intake. Furthermore, the self-reported diet may be systematically biased toward the under-outlining of energy-dense food groups and the over-outlining of healthy foods, particularly by abnormal-weight participants. Although we did not include some food groups in the calculation of DQI, future researchers may benefit from taking more comprehensive dietary indices into account. Moreover, it will be important to confirm our reported results in other populations considering regionally and culturally appropriate dietary patterns due to preserving cultural variety in health promotion [59]. We did not exclude a small number of participants who were underweight in the current study. However, the DQI of underweight participants had no significant difference compared with others. Dietary behaviors are likely to be affected by some characteristics of individuals. It is suggested that future studies considered the interaction effects of DQI and characteristics of individuals on latent profiles of CVDs risk factors. Repeated measurements of dietary intake and CVDs risk factors were all performed at the same time in our observational cohort study, which may lead to reverse causation bias. The clinical trial is thus needed to eliminate causality bias.
This study supports the hypothesis of the joint longitudinal association between overall diet quality and comprehensive composite assessments of CVDs risk factors with considering the interdependence of risk factors. We found that more adherence to a healthy quality diet, characterized by high intakes of vegetables, fruits, legumes, chicken, soy protein, fish, and olive and non-hydrogenated oils, as well as low intakes of fast foods, sweets, butter, hydrogenated oil, animal fats, ghee, egg, whole dairy products, and meat, was associated with lower levels of CVDs risk factors. Increasing the knowledge of the community on the importance of a high-quality diet rich in important nutrients as well as implementing a well-planned community-based interventional program on lifestyle and risk factors may help in the prevention of CVDs in the country. Further investigations, particularly interventional studies, are needed to confirm our results considering total energy intake adjustment as well as prevention of other limitations in our study.
The data sets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
GBD:
Global Burden of Disease
CVDs:
LDL-C:
Low-density lipoprotein cholesterol
HDL-C:
High-density lipoprotein cholesterol
TG:
Triglycerides
DQI:
Diet quality index
MGRLMM:
Multidimensional Graded Responses Linear Mixed Model
ICS:
Isfahan Cohort Study
MET-m/d:
Metabolic equivalent task minutes per day
IPAQ:
International Physical Activity Questionnaire
FBG:
Fasting blood glucose
hs-CRP:
High-sensitivity C-reactive protein
SBP/DBP:
Systolic/diastolic blood pressure
ATP-III:
Third Report of the National Cholesterol Education Program's Adult Treatment Panel
FFQ:
Food frequency questionnaire
Credible interval
FPMS:
Fit Pre-Metabolic Syndrome
DLCO:
DysLipoproteinemia Central Obese
ILIS:
Impaired Laboratory Inflammatory State
MHNW:
Metabolic healthy normal weight
MUHO:
Metabolically unhealthy overweight or obese
MUHNW:
Metabolic unhealthy with the normal weight
MHO:
Metabolic healthy with overweight or obese
Dietary approaches to stop hypertension
HEI:
Healthy eating index
AHEI:
Alternate healthy eating index
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We would like to acknowledge the ICS staff, collaborators and participants for their contribution. Also, we appreciate Mohammad Hadi Mansouri in Isfahan Shahid Chamran Hospital and Ahmad Vaez and AliReza Ani in School of Advanced Technologies in Medicine for their helps.
The current study is based on a PhD thesis in Biostatistics approved ethically by Isfahan University of Medical Sciences with research ethic Code: IR.MUI.RESEARCH.REC. 1398.421 and scientific research project number: 398590. The analyzed data was obtained from ICS study. The baseline survey of ICS as a part of Isfahan Healthy Heart Program (IHHP) was supported by a grant (No. 31309304) from the Iranian Budget and Planning Organization and the Ministry of Health in Iran. Isfahan Cardiovascular Research Centre, affiliated to Isfahan University of Medical Sciences, supported the biannual follow-ups. The current study in the framework of ICS did not receive any financial support.
Student Research Committee, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
Fatemeh Nouri
Department of Biostatistics and Epidemiology, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
Fatemeh Nouri & Awat Feizi
Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
Fatemeh Nouri & Nizal Sarrafzadegan
Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Hezar Jerib Street, 8174673461, Isfahan, Iran
Masoumeh Sadeghi & Awat Feizi
Hypertension Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
Noushin Mohammadifard
Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
Hamidreza Roohafza
Masoumeh Sadeghi
Awat Feizi
Nizal Sarrafzadegan
FN and AF contributed to the creation of new Stan program used in the work, conducted data analysis and prepared the manuscript draft. MS, NM, HR, and NS contributed to the conception, study design, supervision, project administration and revised the manuscript. All authors have given final approval of the version to be published and agree to be accountable for all aspects of the work. All authors read and approved the final manuscript.
Correspondence to Awat Feizi.
The study was approved by the Ethics Committee of Isfahan Cardiovascular Research Center, a World Health Organization-collaborating center. All participants provided written informed consent to participate in the study.
Supplementary Information
Additional file 1: Figure S1.
Scree plot of Exploratory Factor Analysis (EFA) for CVDs risk factors. Supplementary Table 1. Factor loading (95% credible interval (CrI)) for CVDs risk factors and model fit indices for all four competing Bayesian Multidimensional Graded Responses Linear Mixed Model (MGRLMM).
Nouri, F., Sadeghi, M., Mohammadifard, N. et al. Longitudinal association between an overall diet quality index and latent profiles of cardiovascular risk factors: results from a population based 13-year follow up cohort study. Nutr Metab (Lond) 18, 28 (2021). https://doi.org/10.1186/s12986-021-00560-5
DOI: https://doi.org/10.1186/s12986-021-00560-5
Overall diet quality
Latent variable model

redpajama_set_name: RedPajamaCommonCrawl


text:
from TASSELpy.java.util.Collection import Collection
from TASSELpy.utils.Overloading import javaConstructorOverload

java_imports = {'Set':'java/util/Set'}

class Set(Collection):
    """
    From docs.oracle.com:

    public interface Set<E>
    extends Collection<E>
    A collection that contains no duplicate elements. More formally, sets contain no pair of elements e1 and e2 such that e1.equals(e2), and at most one null element. As implied by its name, this interface models the mathematical set abstraction.
    The Set interface places additional stipulations, beyond those inherited from the Collection interface, on the contracts of all constructors and on the contracts of the add, equals and hashCode methods. Declarations for other inherited methods are also included here for convenience. (The specifications accompanying these declarations have been tailored to the Set interface, but they do not contain any additional stipulations.)

    The additional stipulation on constructors is, not surprisingly, that all constructors must create a set that contains no duplicate elements (as defined above).

    Note: Great care must be exercised if mutable objects are used as set elements. The behavior of a set is not specified if the value of an object is changed in a manner that affects equals comparisons while the object is an element in the set. A special case of this prohibition is that it is not permissible for a set to contain itself as an element.

    Some set implementations have restrictions on the elements that they may contain. For example, some implementations prohibit null elements, and some have restrictions on the types of their elements. Attempting to add an ineligible element throws an unchecked exception, typically NullPointerException or ClassCastException. Attempting to query the presence of an ineligible element may throw an exception, or it may simply return false; some implementations will exhibit the former behavior and some will exhibit the latter. More generally, attempting an operation on an ineligible element whose completion would not result in the insertion of an ineligible element into the set may throw an exception or it may succeed, at the option of the implementation. Such exceptions are marked as "optional" in the specification for this interface.

    This interface is a member of the Java Collections Framework.
    """
    _java_name=java_imports['Set']
    @javaConstructorOverload(java_imports['Set'])
    def __init__(self, *args, **kwargs):
        super(Set, self).__init__(*args, **kwargs)


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The seed from which Capote's genre-bending 1966 book grew was a newspaper blurb about the grisly murder of a Kansas farmer and his family. Intrigued, Capote spent years digging into the context and aftermath of the crime, interviewing the killers and recreating the carnage. In Cold Blood blurred the line between fact and fiction, laying the foundation for the New Journalism later practiced by Tom Wolfe. But apart from its role in forging a new branch of literature, the book also stands on its own as a masterpiece of reportage. Though critics claim Capote took creative license, the book is nonetheless a meticulously crafted account of a heinous killing — one as gripping to readers as it was to its author.


text:
30 teams in 30 days Q&A: Eddie Hicks
As part of our preseason look into South Jersey football, we want to know a little bit more about some of the region's players. Eddie Hicks, a senior lineman, talked over a variety of things with reporter Kevin Minnick.
KM: As a four-year member of the program, what's improved the most?
EH: The maturity of the team. We've matured a lot over the years.
KM: In what ways?
EH: Just getting ready in the locker room. We're getting out and we're ready. We're treating practice like a game.
KM: What did it take for that to happen?
EH: Guys growing up and listening to the upperclassmen.
KM: How has being an Eagle Scout helped with playing football?
EH: With the leadership skills I learned by being an Eagle Scout, I put them to use on the field. I'm sort of a natural leader and can help instruct people. I'm good with people.
KM: What's your favorite class?
EH: Science — chemistry, biology. I'm just good at it.
KM: College plans?
EH: I'm trying to go to West Point. I need the nomination.
KM: What has enabled you to stick with the program for all four years?
EH: I really enjoy it, the brotherhood of the team and all of the guys supporting you. Even when you're down, you're not down and out because you have all the guys supporting you and surrounding you.
KM: What do you usually eat before a game?
EH: Whatever's in the fridge. I really don't eat before a game.
KM: What's the last movie you saw?
EH: Transformers.
KM: Do you have a favorite teacher?
EH: Not really. I like a lot of teachers and get along with everybody.
KM: Being one of only 14 seniors, what's your responsibility?
EH: Teach them how to play better, to mature more and grow up and become leaders themselves.
KM: What do you like best about football?
EH: Playing on Friday nights. You get to put all of that practice to use.
KM: What's it going to take to win games?
EH: We have a harder schedule this year and are up against a lot of teams that have a lot of guys returning. It's going to be tough, but I think we can pull it out if we put in the time at practice and work hard.
KM: Going back to being an Eagle Scout, what were some of the badges you really liked to achieve?
EH: I'm an outdoors guy, so I liked small-boat sailing and rifle shooting, archery.
KM: What did scouting do for you?
EH: It helped me mature a lot and learn to deal with things on my own instead of relying on other people. Also how to be a leader and that transitioned into everyday life.
Washington Twp.
• Nickname: Minutemen
• Head coach: Mark Wechter
• League: WJFL American
• Five returning starters: Eddie Hicks (Sr., OL/DL), Al Picolli (Sr., TE/DE), Matt DiJohn (Sr., OL/DL), Rich Stanzione (Jr., QB/DB), Chris Murphy (Sr., OL/DL).
• Five newcomers: Austin Hacking (So., RB/LB), Jim Merrill (Jr., LB), Nick Grosso (Jr., RB/LB), Mike McKeever (Jr., FB/LB), Dyllon Headley (Jr., RB/DB)


text:
Death stares in the carpark at 20 paces
This was gonna be one of my most ambitious (some might say, before knowing the full details, ridiculous) writing challenges.
How to compose a credible letter of complaint to (Indooroopilly) Shopping Centre Management alerting them that one of the retail employees working on their premises had looked at my wife, seven-year old daughter and myself with less than welcoming eyes?
You think I'm joking? I'm not.
For starters, let's substantially upsize the aforementioned 'less than welcoming' look to what it more correctly resembled and really was: a withering stare of unbridled loathing that could easily have peeled the paint off any unsuspecting metallic street sign for miles around. A common enough weapon amongst the passive-aggressive crowd I know, but when it's directed at you, you're left in no doubt you've just been given a deliberate black-eye minus the visible mark.
Then there was the time factor.
By that I mean how long this malevolent optical blowtorch was applied for.
Which, if you haven't begun forming a mental picture yet, was, I'll tell you, a bloody long time. Too bloody long. Way too bloody long! Like 'mentally irregular' (as Rocky Balboa might say) way too bloody long!
Still reading? Good, 'cause here's the details.
Last week's blog post mentioned a family outing to the movie CARS 3 I had taken along with my wife and daughter. I described that though the movie may have been full of car chases spun in together with the occasional car crash, the real action, at least for my family and I, had started in the shopping centre carpark before the movie had even gotten underway.
At this point in the retelling, it's simpler if I just reproduce the letter of complaint I was asked to compose after contacting both Indooroopilly Shopping Centre management and McDonalds Brisbane head office (located at Chermside). Yes, you read that correctly. This is another one of my adventures involving the golden arches, only unlike last time, (February 24th – Miracle at the Drive-thru ) this was definitely no McHappy meal.
Hi Courtney,
This morning around 10am, my wife, seven-year-old daughter and I entered the Centre car-park from the Musgrave Rd side near the cinemas. The purpose of our visit was to take our daughter to see the movie CARS 3.
In the process of parking our car an awkward and unnecessarily uncomfortable encounter occurred with what I was to later discover was one of the store employees who works at the Centre.
I chose to reverse park my car into the available space. Immediately, I activated my hazard lights to signal to cars behind me (of which, important to note, at this time, there were none) my intention. In the process of reversing, a car with a young female driver continued to approach and come forward, making it a very tight turning circle for me to enter this space. Once parked, my wife and I watched the driver of the car pass in front of us making every effort to cast her best unblinking hard stare in our direction for what seemed like an overly long time as she drove past.
Unfortunately, as we were to find out 30 seconds later, this driver then regrettably chose to park in a space approx 8 metres behind us (when there were numerous parks available further down). Upon exiting our vehicle, we were greeted with the sight of the young lady now standing next to her car and continuing to stare in our direction with what was, to our eyes, a look of hostility. This was unpleasant and I felt unnecessary (in layman's terms – I believe she was spoiling for a fight). Bizarrely, as she walked ahead, going toward the sliding glass doors that open to the cinema, with us also pointed in the same direction, she continued to look around at us defiantly while all the time walking with her elbows noticeably cocked outwards from her sides like something from the Wild West. As I say, awkward!
After purchasing our tickets at the cinema, my wife and daughter then visited McDonalds in the foodcourt to buy a coffee. As luck (if you could call it that) would have it, who should we see behind the counter working as an assistant manager but the young lady we had just encountered in the carpark. My wife then spoke to the manager (Luke) who offered the idea that Megan (the young lady's name) hadn't meant any harm and was probably just in a hurry. While I understand Luke was seeking to calm the situation down, we were not content with this explanation as Megan's actions were most certainly a display of deliberate impatience/bordering on aggressiveness from someone who should have shown a more responsible, peaceable attitude while wearing an identifiable company uniform.
My family and I had been looking forward to this day since the beginning of the current school holidays but to have the morning blighted in this way (when we did nothing wrong in the first place other than to inconvenience a person for at the most 10 seconds by our reverse park) by the unpleasantness of a worker who, one would think, should be acting as a role model to others in their interactions with the public, was disappointing and did to some extent take the shine off the morning.
I have no doubt Megan is a very nice girl under other circumstances but on this occasion, to us, she did not act in a remotely friendly way or one which I believe her employer would support. While there was no swearing, rude finger signs or horn beeping from her, she did everything else in her power, I believe to 'punish' us for our reverse parking action which impeded her travel so briefly.
If, based on what I have described, you see fit to speak with her at some future time, her manager or possibly both, I would very much appreciate being let known the outcome. I may be contacted either by phone or email.
Glen Donaldson
If I live to be a hundred, don't think I'll ever be able to forget the sight of feisty young Megan walking that last 30 metres across the car-park and then stomping into the shopping centre with elbows cocked like a gunslinger and a stride like she'd just stepped off a horse. If it wasn't so bizarrely over the top it would undoubtably have qualified as a moment of bona-fide comedy gold.
My wife and I joked later that maybe that day it would have been more fitting had we seen the movie DESPICABLE ME(GAN). Was I too hard on the young girl, dobbing her into her bosses? (My wife also spoke face to face with her and her in-store manager while being served at Maccas).
I don't think so. A person who chooses to get all huffy like she did while dressed in a company uniform and direct their frustrations (and hate) at a guiltless family, including a seven-year old girl, needs, I believe, to be corrected by someone outside of her immediate colleague serving alongside her in the same store.
It all goes to prove my theory that try as one might to avoid conflict in this world, there's no getting around the fact conflict sometimes comes searching to find us. Really, there are times when I think the only reason I go out some days is to get me a fresh appetite for being at home. That, and to see with my own eyes how truly strange some people can be.
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Deathstares – The Aftermath →
13 thoughts on "Death stares in the carpark at 20 paces"
Pavowski
"Optical blowtorch" makes me happy.
Can a death-stare ever be classed as a kind of 'psychological assault', I guess is the question at the heart of this incident. It certainly felt that day like we'd been, in some manner of speaking, accosted in the carpark even though no blows or words were exchanged.
Interestingly, I am still in communication with both McDonalds head office(Sydney) and the Shopping Centre Management team, both of whose investigations are still ongoing.
As I say, trying to convert what essentially amounted to merely someone 'looking at you funny' into a credible complaint that would be taken seriously, required some serious attempts at penetrating wordery on my part to try to capture the sour and colder-than-a-mother-in-laws-kiss nuances that were on display that morning from a person wearing one of the world's most identifiable company uniforms.
In fact I reckon composing just such a letter would make the perfect challenge for up and coming word-slingers in creative writing classes worldwide! (Or at the very least the 119 out of a possible 196 countries in the world that host Maccas).
Geoff Richardson
Well, customer service really is dead now! You just don't expect it accompanied by a death stare in the car park. Despicable Megan definitely!
It is indeed all about Me..gan.
Think this huffy next-gen might have some explaining to do sometime next week.
Maccas Sydney head office told me yesterday afternoon that they'd requested the franchise owner to contact me and since that hasn't happened it's now going up the line to the area manager.
Seems like something that started as a small snowball could be gathering some type of weird momentum.
Bryan Wharton
Should we be talking reparations Glen?
I believe Seinfeld's Jackie Jackson may be available.
Possibly complimentary Big Mac meals for a year?
Cholesterolly Yours!
They can save the Big Mac vouchers and offer my family and I a security escort next time we park in their carpark when roid-rage Megan is lurking.
This story, until I hear back officially from McDonalds and also Indooroopilly Shopping Centre (who've already indicated an employee of the centre shouldn't have been parking in that area anyway) is definitely, I repeat definitely not over.
How about this for a solution: group hug with Megan anyone? 🙂
I'd do it but I'd have my Wild West six-shooter tucked under my belt for back-up just in case anything went sour at the last second.
I'm trying to cast this back to a former generation and consider how different things might have been back then. Megan is possibly a petulant little spoiled brat with Millennial tendencies? The days of deferring to the boss are long gone. The feelings of Megan may be all that matters in today's world?
If she throws a tantrum, McDonalds needs to corporately look at itself and determine how the company itself is to blame for this poor showing on Megan's part. The offense directed towards the customer is regrettable, but needs to be seen in the positive light of showing once more how Megan is corporately oppressed, so she can be pampered with stress leave and workplace rehabilitation, after a company paid vacation to the Maldives for respite.
The whole world of repressed Millennial non-workers will look back on this carpark incident as a defining moment in the cultural Marxist march toward emancipation of the slaved masses.
My thoughts exactly!
"enslaved" masses.
I think that's most of us.
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text:
https://archive.triblive.com/local/regional/man-in-washington-county-allegedly-threatens-to-open-fire-on-polling-place/
Megan Guza
Christopher Queen
A man in Washington County allegedly threatened to "shoot up" a polling place when poll workers informed him Tuesday morning that he was not registered in the county, according to charges filed against him.
Christopher Queen, 48, who lives in Elk County near Kane, is charged with making terroristic threats and disorderly conduct, court records show.
Queen allegedly went to the South Franklin fire hall about 8:10 a.m. and attempted to vote, according to the criminal complaint. Poll workers told him he was not registered to vote in the area, and he allegedly became angry and said he was going to come back with a gun and "shoot up" the polling place, police wrote in the complaint.
According to the complaint, Queen left but was later found and arrested.
Poll workers told Tribune-Review news partner WPXI-TV that Queen told them he'd been promised a gun and money if he voted "straight party."
Voter registration records list a Christopher Queen with a birth date of Oct. 8, 1970, as a Republican registered at an address on Route 66 near Kane. Court records for the charges filed Tuesday by state police match voter registration data.
Megan Guza is a Tribune-Review staff writer. You can contact Megan at 412-380-8519, [email protected] or via Twitter @meganguzaTrib.


If you're going to promote a chain of cinemas in Japan, you could do worse than enlisting the aid of some well known anime characters. Toho Cinemas have dropped a new promotional commercial showing Kami-Usagi Rope's Rope and Akira being hassled by Naruto and Boruto. The commercial is to showcase the latest cinema in the Toho chain for the Uenuo area in Tokyo.
Catch the ad below, it has a cutesy art style, don't you think?


text:
Attending: Riccardo, Tanner, Vuk, Eric, Shivaraj, Victor, Gary, Michael
Our agenda:
1) Homestake update (Vuk)
Vuk: iterating with SDSTA to formulate a subaward to them, so that they could start the work on preparing the stations and installing the optical fibers. Nearing the submission of the request in fastlane, hope to have this sorted out next week.
Gary: surface computing?
Vuk: plan to have two computers in the computer room at the surface. This was the mode of operation in the past.
Vuk: Thinking about having two GPS distribution systems. A surface station with a master-mode digitizer near Ross, convert the GPS signal to optical there, send it down the Ross shaft and branch off at 300, 800, and 2000. Do similar near Yates, and supply 1700, 4100, and 4850. In this way we minimize the number of splits, and solve the problem that some of the levels are not accessible from both shafts.
Gary: Could/should set up stations in the shaft buildings, use them as masters for GPS and record the local seismic data that will be corrupt. Want the optical link to be strong and reliable, so important to have the link inside the building. But will need separate two surface stations, far from the shafts.
2) UMN test setup (Tanner)
Tanner: Liteway sent us the demo equipment, including a transmitter (converts digital NMEA and 1PPS signals from the master digitizer to optical), fibers, repeaters (that allow split-offs), and receivers that convert the signals back to electrical for the slave digitizers. Currently does not work, the repeaters were not set up properly, Liteway is sending us new units.
Vuk: Optical Zonu has sent us transmitter/receiver for the raw GPS signal, which worked well (Tanner: 10% loss in signal-to-noise). But worry that multiple splits would reduce the signal to noise ratio and be susceptible to local noise.
Gary: what about the power consumption in this mode? Probably there will be power advantage.
Vuk: Will have to test this, plan to put the whole system on a battery as soon as we verify the system works.
Tanner: probably will be less. In the usual (master) mode operate the receiver 10min every hour, but for the slave mode we don't have to.
Shivaraj: could use the existing GPS system (aLIGO) as a check that the new system works. Could do this only at certain stations, not all stations have the GPS signal.
a) Frames/miniSEED files (Shivaraj, Tanner, Michael)
Shivaraj: frames are ready at UMN, but have not been transported to Caltech. Have to re-gain write directory from Stuart to make the copy.
Eric: may want to cc Greg Mendel, he may be able to respond faster as Stuart is very busy this week.
b) Wiener filtering (Michael, Jan)
Paper circulated within the LIGO collaboration and submitted to CQG. Michael will circulate it to the Homestake group.
c) Estimation algorithms (Shivaraj, Eric, Noah)
Eric: due to rock density and elastic modulus changes with depth, there is a change in the index of refraction, which can result in waves changing directions with depth. Looked at this with Victor, posted some preliminary results (for S-waves):
https://zzz.physics.umn.edu/groups/homestake/radiometer
The speed of the wave changes with depth, v(z) = v0 (z/z0)^alpha. Assume z0 ~ 1 km, alpha ~ 0.27, z ~ 2 km. Assume a sudden speed transition at some depth, and apply the Snell's law. For incominng angle of 45 degrees, the change in propagation direction is about 13 degrees. Want to improve on this model (smooth change in v, rather than sudden transition), and assess implications for the radiometer method. Expect this will blur the radiometer maps at 13 degree level, according to this toy model. Also will try to get a more realistic model for speed vs depth at Homestake. Can also think about how to include this into the radiometer algorithm.
Vuk: how does this change for P-waves?
Victor: larger velocity, but alpha should be similar, and the relative angles would probably be similar.
Gary: high-frequency modes get constrained by exactly this effect to propagate only in horizontal direction.
Eric/Vuk: expect the surface waves and also body waves to be present in our measurement (which is dominant and at what level could be frequency dependent). Want to separate them with this radiometer tool, and the situation will be different at different frequencies. So want the tool to work in different situations.


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text:
Socha Hygie, též socha Hygieie, v Karlových Varech představuje bohyni zdraví, čistoty a také Měsíce Hygieiu (v řecké mytologii). Umístěna je ve Vřídelní kolonádě, pochází z roku 1878, autor díla byl Vincenz Pilz.

Socha byla prohlášena kulturní památkou, je památkově chráněna od 3. května 1958, event. 5. února 1964, rejstř. č. ÚSKP 40764/4-898.

Bohyně Hygieia

Řecká bohyně zdraví a čistoty Hygieia byla jedním z nejčastěji používaných symbolů léčivosti karlovarských pramenů.

Autor díla

Autorem sochy byl podle některých zdrojů vídeňský sochař Vincenz Pilz (1816 Varnsdorf – 1896 Vídeň), podle jiných vídeňský sochař Antonín Fernkorn (1813 Erfurt – 1878 Vídeň).

Uvádění Antonína Fernkorna jako autora karlovarské sochy Hygie je zřejmě mylné, neboť podle zdroje "" je dílo (pod pravou nohou postavy) signováno "V. Pilz".

Historie díla
Dále se zdroje shodují, že socha byla ulita ve slévárnách Antona von Fernkorna ve Vídni.

V březnu roku 1879 byla socha zakoupena za 1 000 zlatých z pozůstalosti sochaře Fernkorna a dne 16. května 1879 instalována v nové litinové Vřídelní kolonádě (1878–1879) ateliéru Fellnera a Helmera, přesněji řečeno v prostoru její postranní haly u Hygieina pramene. Zpřístupněna byla při slavnostním otevření novostavby kolonády dne 1. června 1879.

V létě roku 1880 byl prostor za sochou vyzdoben nástěnnou malbou tropické krajiny od malíře Ladislause Petrowicze.

V roce 1939 došlo z důvodu narušení konstrukce kolonády k její demolici a socha pak stála před provizorním dřevěným zastřešením pramenů.

V souvislosti s výstavbou Vřídelní kolonády v roce 1975 byla socha přenesena do kolonády Dolního zámeckého pramene a v letech 1985–2000 byla umístěna v hale karlovarského muzea. Od roku 2001 stojí opět ve Vřídelní kolonádě.

Popis díla
Litinová figurální plastika Hygie v klasicistním/novorenesančním slohu představuje sedící postavu bohyně v nadživotní velikosti. Had obtáčející její pravou ruku symbolizuje léčení. V levé ruce má bohyně misku, ze které dává hadovi pít, v mírně pozdvižené pravici pak drží pohár. Je oděna pouze do pláště volně přehozeného přes ramena.

Pod pravou nohou postavy je socha signována "V. Pilz". Dílo je umístěno na mohutném tmavošedém mramorovém podstavci na čtvercové základně. Zde býval původně skrze plastiku lví hlavy vyveden vývěr Hygieina pramene.

Odkazy

Poznámky

Reference

Literatura

Související články
 Seznam kulturních památek v Karlových Varech

Externí odkazy

 Socha Hygie – článek na stránkách Infocentra města Karlovy Vary [cit. 2020-02-02]
 Karlovy Vary – socha Hygie – článek na stránkách Památky a příroda Karlovarska, autor Jaroslav Vyčichlo, 2009–2015 [cit. 2020-02-02]

Sochy v Karlových Varech
Litinové sochy v Česku
Kulturní památky v Karlových Varech
Vzniklo 1879

redpajama_set_name: RedPajamaWikipedia