Miracle-dz/UniFAR-FTUs huggingface dataset:
Atherogenic Plasma Index or Non-High-Density Lipoproteins as Markers Best Reflecting Age-Related High Concentrations of Small Dense Low-Density Lipoproteins

The study aimed to assess the strength of the relationships between small dense low-density lipoproteins (sdLDL) and other parameters describing metabolic disorders and determine which of the lipid profile parameters can be used as markers of increased sdLDL concentration. The proposed model of sdLDL (examined by heparin–magnesium precipitation method) as a function of lipid parameters and atherogenic plasma indexes non-high-dense lipoproteins (non-HDL) and total cholesterol to high-dense lipoprotein ratio (TC/HDL), Atherogenic plasma index (API) is based on data from 485 participants divided into two age groups, <35≥ years. In multiple linear regression, sdLDL concentration was associated with the concentration of non-HDL-C (p = 0.043) and API value (p < 0.001) in participants <35 years, and with non-HDL-C (p < 0.001) and triglycerides (p = 0.020) concentration ≥35 years. The presence of abnormal values of API in participants <35 years and non-HDL-C in participants ≥35 years is a significant factor increasing the chances of the highest sdLDL (≥1.03 mmol/L) corresponding to Q4 in people without metabolic disorders. Different lipid parameters and atherogenicity indexes are associated with a high concentration of sdLDL depending on the age group. Abnormal API <35 years and non-HDL ≥35 years are associated with the highest sdLDL values and may be an indication for further specialist diagnosis of cardiovascular disease risk factors.
Assessment of Traffic Accidents in Japan during the COVID-19 Pandemic vs. Previous Years: A Preliminary Report

Beginning in April 2020, social distancing measures were implemented to mitigate the COVID-19 pandemic in Japan. We assessed whether traffic accident rates had decreased from April 2020 to December 2021 as compared with previous years. The analysis included 2,934,477 traffic accidents, and the trend of decreasing rates of traffic accidents in recent years and seasonal fluctuations in traffic accidents were considered. The yearly change in the traffic accident rate between 2015 and 2019 was estimated, and the traffic accident rate in 2020 and 2021 was predicted. This was followed by the comparison of observed vs. predicted traffic accident rate. In 2020, the observed vs. expected rates of traffic accidents were lower in April to December 2020, and the rate of traffic accidents in Japan was 30–40% lower in April–May 2020 than would be expected based on trends from previous years. In 2021, rates of traffic accidents remained lower than expected between January and November, but the magnitude of decrease was not as pronounced. These findings could be explained by social distancing policies, including the declaration of the state of emergency, and the relaxation of public health and social measures over time.
Rapid Post-Earthquake Structural Damage Assessment Using Convolutional Neural Networks and Transfer Learning

The adoption of artificial intelligence in post-earthquake inspections and reconnaissance has received considerable attention in recent years, owing to its exponential increase in computation capabilities and inherent potential in addressing disadvantages associated with manual inspections. Herein, we present the effectiveness of automated deep learning in enhancing the assessment of damage caused by the 2017 Pohang earthquake. Six classical pre-trained convolutional neural network (CNN) models are implemented through transfer learning (TL) on a small dataset, comprising 1780 manually labeled images of structural damage. Feature extraction and fine-tuning TL methods are trained on the image datasets. The performances of various CNN models are compared on a testing image dataset. Results confirm that the MobileNet fine-tuned model offers the best performance. Therefore, the model is further developed as a web-based application for classifying earthquake damage. The severity of damage is quantified by assigning damage assessment values, derived using the CNN model and gradient-weighted class activation mapping. The web-based application can effectively and automatically classify structural damage resulting from earthquakes, rendering it suitable for decision making, such as in resource allocation, policy development, and emergency response.
Anti-inflammatory and Antioxidant Effects of Melissa officinalis Extracts: A Comparative Study

Melissa officinalis L. (MO), traditionally referred to as lemon balm, is one of the lemon-scent aromatic herbs widely used in traditional medicine due to its calming, sedative, and anti-arrhythmic effects. Furthermore, several studies have linked its therapeutic potential with its antioxidant properties. Here, we aimed to evaluate and compare the content of active components, antioxidant, and anti-inflammatory potential of three different MO extracts (MOEs), ethanolic macerate (E1), aqueous (E2), and ethanolic (E3), obtained under reflux and their effects on systemic redox status after acute per os administration in vivo post-carrageenan application. The HPLC analysis revealed that the most abundant constituent in all the three extracts was rosmarinic acid (RA), with higher content in E1 and E3 than in E2 (P < 0.05). The highest flavonoid content was found in the aqueous extract, especially quercetin (P < 0.05). For the carrageenan-induced paw edema model, dark agouti rats were used and divided into the groups: Control, indomethacin, E1, E2, and E3 subgrouped according to applied doses: 50, 100, and 200 mg/kg. Ethanolic macerate (E1200) and aqueous (E2100) MOE were shown to be anti-inflammatory agents in the carrageenan paw edema model, with the most prominent edema inhibition in the sixth hour post-carrageenan (63.89% and 69.44%, respectively, vs. 76.67% in the indomethacin group). All the three extracts reduced the production of pro-oxidants H2O2 and TBARS post-carrageenan and increased GSH levels compared to control (P < 0.05). These data imply the possible future usage of MOEs to prevent inflammatory and oxidative stress-related diseases.
EVALUASI IMPLEMENTASI PENILAIAN OTENTIK PEMBELAJARAN BAHASA INDONESIA PADA KURIKULUM 2013 DI SMA

Penelitian ini bertujuan untuk mengetahui tingkat pelaksanaan penilaian otentik pada pembelajaran Bahasa Indonesia di SMA N kota Yogyakarta yang menerapkan Kurikulum 2013. Penelitian ini merupakan penelitian evaluasi dengan model discrepancy. Penelitian dilaksanakan dari bulan April sampai Mei 2015 di SMA N 1, SMA N 2, SMA N 3 dan SMA N 8 Yogyakarta. Populasi dan sampel dalam penelitian ini adalah Sekolah SMA N di Kota Yogyakarta yang melaksanakan penilaian otentik pada pembelajaran Bahasa Indonesia yang menerapkan Kurikulum 2013. Responden penelitian adalah 6 guru bahasa Indonesia kelas X dan 304 siswa. Penentuan sampel menggunakan teknik proporsional sampling. Instrumen pengumpulan data yang digunakan adalah kuesioner, lembar telaah RPP, dokumen perangkat pembelajaran dan penilaian, serta pedoman wawancara. Hasil penelitian menunjukkan bahwa, guru SMA N 1, SMA N 2, SMA N 3 dan SMA N 8 telah melakukan penilaian otentik pada Kurikulum 2013 dengan sangat baik; (1) Pelaksanaan penilaian telah mencakup pengetahuan, keterampilan dan sikap. Guru menggunakan berbagai teknik dan perangkat penilaian yang sesuai dengan aspek pengetahuan, keterampilan dan sikap. Kualitas instrumen yang digunakan tergolong dalam kategori sangat baik; (2) Kedisiplinan guru dalam melakukan penilaian secara berkesinambungan tergolong dalam kategori sangat baik karena guru melakukan penilaian tidak hanya saat ulangan, tetapi juga pada saat proses pembelajaran berlangsung; (3) Kendala-kendala yang terdapat dalam pelaksanaan penilaian otentik di SMA N Kota Yogyakarta dikarenakan kurangnya pelatihan.
The role of agility in responding to uncertainty: A cognitive perspective

This research investigates the impact of external environment, cognitive factors, and behavioral dimensions in the context of implementing supply chain agility. It applies social cognitive theory to establish a link between various environments including business uncertainty and supply chain disruption risk, cognitive factors such as supply chain agility self-efficacy, trust, and supply chain cooperation, coordination, and communication attitude, and actions such as implementing supply chain agility as well as behavior to explain the decision-making process in implementation. Based on the survey data collected from 254 supply and purchasing managers in the Korean manufacturing industry, AMOS software with structural equation method was used for data analysis Our results support the concept that business uncertainty reduces self-efficacy in supply chain agility although both business uncertainty and supply chain disruption risk boosted trust in the supply chain as well as buyers’ positive attitude toward supply chain cooperation, coordination, and communication. The concept of supply chain agility, self-efficacy, trust, and supply chain cooperation, coordination, and communication attitude have a positive impact on firm performance. Supply chain agility, self-efficacy, and trust in suppliers positively affects implementation of supply chain agility as well as firms’ financial, operational, and supply chain performance. This research provides meaningful insights for considering external environments and cognitive factors while making decisions in implementing supply chain agility.
Property Rights in Historical Political Economy: When Do Wedges Wither?

Countries are not equally developed in large part because most countries face sets of property rights that do not foster growth despite the aggregate gains that would result from changing property rights. The difference in rents to society between the extant set of property rights and some seemingly better alternative we define as a “Demsetz” wedge. We explore the forces that sustain the status quo as well the forces that prompt property rights to change.
Impact of Antifibrotic Treatment on Postoperative Complications in Patients with Interstitial Lung Diseases Undergoing Lung Transplantation: A Systematic Review and Meta-Analysis

Antifibrotic treatment has been approved for reducing disease progression in fibrotic interstitial lung disease (ILD). As a result of increased bleeding risk, some experts suggest cessation of antifibrotics prior to lung transplantation (LT). However, extensive knowledge regarding the impact of antifibrotic treatment on postoperative complications remains unclear. We performed a comprehensive search of several databases from their inception through to 30 September 2021. Original studies were included in the final analysis if they compared postoperative complications, including surgical wound dehiscence, anastomosis complication, bleeding complications, and primary graft dysfunction, between those with and without antifibrotic treatment undergoing LT. Of 563 retrieved studies, 6 studies were included in the final analysis. A total of 543 ILD patients completing LT were included, with 161 patients continuing antifibrotic treatment up to the time of LT and 382 without prior treatment. Antifibrotic treatment was not significantly associated with surgical wound dehiscence (RR 1.05; 95% CI, 0.31–3.60; I2 = 0%), anastomotic complications (RR 0.88; 95% CI, 0.37–2.12; I2 = 31%), bleeding complications (RR 0.76; 95% CI, 0.33–1.76; I2 = 0%), or primary graft dysfunction (RR 0.87; 95% CI, 0.59–1.29; I2 = 0%). Finally, continuing antifibrotic treatment prior to LT was not significantly associated with decreased 1-year mortality (RR 0.80; 95% CI, 0.41–1.58; I2 = 0%). Our study suggests a similar risk of postoperative complications in ILD patients undergoing LT who received antifibrotic treatment compared to those not on antifibrotic therapy.
Effect Of Implementation of Head and Neck Stretching Exercises on Pain Level And Disability Post Thyroidectomy

Introduction: Thyroid diseases are one of the most common health problems all over the world. Thyroidectomy is a common surgical procedure resulting in significant neck pain and disability postoperatively. After thyroidectomy, patients often experience discomfort such as neck pain, shoulder stiffness, shoulder movement difficulty, choking, or a pressing sensation. Head-neck stretching exercises provide neuromuscular coordination and flexibility in patients by reducing pain and muscle weakness. Aim: to evaluate the effect of implementing head-neck stretching exercises after thyroidectomy on reducing the postoperative neck pain level and disability. Design: A quasi-experimental research design was utilized. Setting: This study was conducted at the head and neck surgery unit of the Alexandria Main University Hospital, Alexandria, Egypt. Subjects: The subjects comprised 60 patients undergoing thyroidectomy. They were divided into two groups at random and equally: a study group that received neck stretching exercise training in addition to routine hospital care and a control group that received routine hospital care. Three tools were used; Tool I: Patients' socio-demographic and clinical data structured interview schedule. Tool II: Neck pain assessment using the Indiana polyclinic combined pain scale (IPCPS). Tool III: Neck Disability Index Questionnaire (NDI). Results: There was a highly statistically significant difference between both groups regarding neck pain and disability one week and four weeks post thyroidectomy. Conclusion: Implementing head and neck stretching exercises illustrate a positive result and significant differences among both groups regarding the pain and disability mean scores. Recommendations : Neck stretching exercises should become an integral part of the care provided by nurses in their care and follow-up protocols post thyroidectomy.
Factors affecting households’ trust in the community based health insurance scheme in Ethiopia

The trust that potentially community-based health insurance (CBHI) members have in the actual health insurance scheme is a crucial determinant for members who decided to enroll and continue being members of the scheme. While the literature on health insurance in low-income countries mentions the importance of trust in consumers’ decision to insure, to date the association between trust and trust-building factors has not been researched in the Ethiopian context. Therefore, the objective of this study was to assess the factors affecting households’ trust in the CBHI scheme in Ethiopia. A community-based cross-sectional study design was employed to collect data from 617 household heads from March 1–30, 2020. A multistage sampling technique was carried out and interviewer-administered questionnaires were used to collect data. Descriptive statistics and multivariable linear regression analyses were performed, and variables with a P-value < 0.05 were considered to have a statistically significant association with trust in the CBHI scheme. A household survey resulted in 617 households being interviewed making a response rate of 97.3%. The mean age of the respondents was 44.7 (SD°11.2) years and the majority of the respondents were Oromo 528(85.6%). Holding other covariant fixed, educational level of household head (ß = 0.17, 95% CI:0.14–0.32), members’ satisfaction with past experience (ß = 0.40, 95%CI:0.41–0.57), favorable attitude toward CBHI (ß = 0.31, 95%CI:0.12–0.49), perceived quality of service (ß = 0.15, 95% CI:0.02–0.29) and dropout from CBHI (ß = -0.23, 95%CI:- 0.41–- 0.05) were covariant that had an association with trust in the CBHI scheme. This study found that the educational level of the household head, members’ satisfaction with past experience, members’ attitude toward CBHI, perceived quality of services and dropout from CBHI were covariant that were affecting trust in the CBHI scheme. Therefore, if the scheme wants to build trust and maintain membership, great attention should be given toward the improvement of the quality of service and attitude of members towards the CBHI scheme. These findings suggest that CBHI managers, different health insurance agencies, providers and policymakers need to think systematically about a wide range of initiatives that enhance trust and caring, and to design trust-building structures and practices that sustain the CBHI scheme.
Predicting wine prices based on the weather: Bordeaux vineyards in a changing climate

Each grapevine cultivar needs a certain amount of cumulated heat over its growing season for its grapes to ripen properly. In the 20th century’s Bordeaux vineyard, the average growing season temperature was not always sufficient, thus higher than usual summer temperatures were on average linked with higher grape and wine quality. However, over the last 60+ years, global warming gradually increased the vineyard’s temperatures up to the point where additional growing season heat is not required anymore, and can even become detrimental to wine quality: hence the positive effect of higher-than-usual summer temperatures has progressively vanished. In this context, it is unknown whether any weather variable is still a good predictor of a vintage’s quality. Here we provide a predictive model of wine prices, based only on weather data. We establish that it predicts a vintage’s long-term quality more accurately than a world-class expert rating this same vintage in the year following its production. We first design a corpus of features suited to the grapevine lifecycle to extract from them the most powerful drivers of wine quality. We then build a predictive model that leverages Local Least Squares kernel regression (LLS) to factor in the time-varying nature of climate impact on the grapevine. Hence, it is able to outperform previous models and even provides a better predictive ranking of successive vintages than the grades given by world-famous wine critic Robert Parker. This predictive power demonstrates that weather is still a very efficient predictor of wine quality in Bordeaux. The two main features on which this model is built—following grapevine’s phenological calendar and using an LLS architecture to let the input-output relationship vary over time—could help model other agricultural systems amidst climate change and adaptation of production processes.
TECHNOLOGY PROFICIENCY AND SELF-GENERATED COMPUTERIZED MIND MAPPING OF STUDENTS AS MEDIATED BY INFORMATION LITERACY COMPETENCE

This study aimed to determine the mediating effect of information literacy competence on the relationship between technology proficiency and self-generated computerized mind mapping of students from accredited programs in the University of Mindanao Professional Schools. Stratified random sampling was used which included 334 students as respondents. Three adapted instruments were used to gather the data from the respondents. The researcher personally supervised and administered the questionnaire to the respondents via email to ensure accuracy and prevent ambiguity. The tools used in analyzing the data were Mean, Pearson r, Regression Technique and Path Analysis. Results showed that students posted a very high level of technology proficiency, also a high level of self-generated computerized mind-mapping, and a very high level of information literacy competence. Findings also revealed that there is a significant relationship between technology proficiency and self-generated computerized mind mapping, technology proficiency and information literacy competence as well as information literacy competence and self-generated computerized mind mapping. There was a partial mediation on the effect of information literacy competence on the relationship between technology proficiency and self-generated computerized mind mapping. Therefore, information literacy competence is one of the reasons how technology proficiency can influence self-generated computerized mind mapping. Article visualizations:
Comprehension of Null and Pronominal Object Sentences in Japanese-speaking Children

ABSTRACT In successful communication, it is critical to have the ability to identify what a speaker is referring to from previously mentioned information. This ability requires the identification of the topic initially introduced by lexical forms and its continuity in discourse expressed by anaphora such as null and pronominal forms in the subsequent sentences. While Japanese-speaking children are frequently provided with pronominal and null forms, especially the null form, in reference to previously mentioned topics, it remains unclear from what age they understand the anaphoric use of such referential forms. The current study investigated the age at which Japanese-speaking children are able to identify the presence of topic chains connecting null and pronoun anaphora to the topic referred to by a lexical form in the preceding sentence. We tested children’s comprehension of null and pronominal object sentences using an intermodal preferential-looking paradigm. The results demonstrated that the Japanese-speaking children aged 2;7 and 3;2 as a group looked at the target animation reliably longer after hearing the test sentences than before or during the test sentences. This finding provides evidence that Japanese-speaking children’s ability to track topic chains and understand anaphora in the discourse develop by 2;7 years of age. However, unlike the 3;2-year-old group, the 2;7-year-old group showed weaker performance in interpreting pronominal object sentences, suggesting a possibility that young children find the interpretation of null anaphora easier than that of pronoun anaphora.
The Effect of Hatching System and Egg Weight on Hatching Traits in Turkish Geese: Hatch time, Hatchability and Gosling Quality Traits

This study was performed to determine the effect of hatching system (house and hatcher) and egg weight (heavy and light) on pip-hatch time, hatchability and some gosling quality traits. A total of 389 eggs (fertile of candling) from 2-year-old Turkish Native Goose were used in the study. Before the incubation process, all eggs were individually numbered and weighed. Eggs were divided into heavy (≥160 g) and light (
Theorising the dynamics of heritage language identity development: a narrative inquiry of the life histories of three Chinese heritage speakers

Abstract This article examines the dynamics of heritage language (HL) identity development by analysing the life history accounts of three Chinese heritage language (CHL) learners growing up in the UK. Drawing on narrative data, the study contributes to the growing body of HL identity research by capturing the individual trajectories of CHL learners engaging with different interlocutors, at multiple sites, and across the lifespan. We report the various ways our participants are positioned by the essentialist discourses of Chineseness and how they learn to (re)position themselves as competent HL learners and legitimate members of the diasporic community. The findings highlight the need to understand HL learners’ identity and agency as emergent from varied social interactions embedded within one’s personal history. In light of the findings, we propose an original model to theorise the dynamics of HL identity development from a historical, spatial, and relational lens, and conclude with practical suggestions to encourage HL learning and maintenance.