bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hubungan Emotional Eating dan Kualitas Diet dengan Kenaikan Berat Badan Pada Mahasiswi Saat Pandemi COVID-19
Authors: Sekarini Anisa Gita Ayu , Fitranti Deny Yudi , Tsani A. Fahmy Arif , Noer Etika Ratna 
Published: September 2022

Latar Belakang: Banyak individu mengalami emotional eating saat pandemi sebagai cara untuk mengatasi rasa cemas dan bosan. Kondisi ini mengakibatkan peningkatan konsumsi makanan tidak sehat yang mengarah pada kenaikan berat badan tidak terkontrol. Tujuan: mengetahui hubungan emotional eating dan kualitas diet dengan kenaikan berat badan pada masa pandemi.Metode: Penelitian ini menggunakan metode cross-sectional. Jumlah subjek sejumlah 139 mahasiswi, berusia 18-23 tahun menggunakan metode consecutive sampling. Data yang dikumpulkan meliputi data kenaikan berat badan, data emotional eating menggunakan Dutch Eating Behavior Questionnaire (DEBQ), asupan makan menggunakan Semi Quantitative Food Frequency Questionnaire (SQFFQ), kualitas diet menggunakan Diet Quality Index-International (DQI-I), data pengetahuan gizi menggunakan kuesioner pengetahuan gizi seimbang, aktivitas fisik menggunakan International Physical Activity Questionnaire Short Form (IPAQ-SF), dan durasi tidur menggunakan The Pittsburgh Sleep Quality Index (PSQI). Data dianalisis dengan uji rank spearman dan uji regresi logistik. Hasil: Terdapat 69% subjek mengalami kenaikan berat badan, 47% subjek menglami emotional eating tinggi, dan 81% subjek memiliki kualitas diet rendah. Penelitian ini menunjukan adanya hubungan emotional eating (p = 0,005 ; r = 0,236) dan kualitas diet (p = 0,002 ; r = -0,261) dengan kenaikan berat badan. Uji multivariat menunjukan bahwa kualitas diet yang berpengaruh terhadap kenaikan berat badan (p = <0,001).Kesimpulan: Emotional eating dan kualitas diet berhubungan dengan kenaikan berat badan mahasiswi pada masa pandemi COVID-19. Kualitas diet merupakan faktor risiko kenaikan berat badan.Kata kunci: Kenaikan berat badan, emotional eating, kualitas diet, mahasiswi
Pemberdayaan Ibu-ibu PKK Di Kelurahan Tawang Rejo, Wonogiri dengan Pelatihan Pembuatan nugget dan sosis Tinggi Serat
Authors: Yanti Yuli , Riyanto Joko , Dewanti Ratih , Cahyadi Muhammad , Wati Ari Kusuma , Pawestri Wari 
Published: September 2022

<p><strong>Empowerment of PKK Group Village in Tawangrejo Wonogiri by Training Making Nugget and Sausage Contains Fiber.</strong> This community service aimed to increase the knowledge of PKK mothers in Tawangrejo village about processing livestock products, especially nuggets and sausages rich in fiber which are healthy and potential to increase the financial income. The service has been carried out in two groups of PKK women, Tawang Rejo sub-district, Jatipurno District, Wonogiri Regency. The service has been held on June 19, 2021. The method used is training and direct practice. The first activity is to provide a questionnaire to measure the level of initial knowledge of respondents about livestock products and how to process them. Next is training on livestock product processing technology and the practice of making livestock products into healthy functional foods because they are rich in fiber and vitamins. The third activity is giving another questionnaire to measure whether the materials and practices presented have succeeded in increasing the knowledge of the respondents. The ingredients used are chicken, broccoli, moringa leaves, corn and peanuts. From this activity, it was found that prior to the activity, knowledge of processing livestock products was only limited to meatballs, partners had never made their own nuggets and sausages. This is because partners do not yet know how to make it. After the extension and practice activities, respondents' knowledge about livestock products and processing methods increased. As much as 79% knowledge of making nuggets increased, while sausage making increased by 100%. As many as 100% of respondents have plans to start a business from processing livestock products, but only 26.4% of respondents will start a business as soon as possible. Partners obtain equipment in the form of an electric meat grinder and a vacuum machine. This service activity is able to increase the knowledge of partners about processing livestock products and open up business opportunities for partners.</p>
Effect of Fluid Viscosity and Fiber Length on the Performance of Fibrous Fluid in Horizontal Well Cleanout
Authors: Mendez Michael , Garcia Sergio Prada , Ahmed Ramadan , Karami Hamidreza , Nasser Mustafa , Hussein Ibnelwaleed A. 
Published: September 2022

SummaryDuring drilling, completion, and intervention operations, solids can deposit in the wellbore. Innovative cleanout fluids reduce the problems associated with inadequate hole cleaning. Various methods have been developed to improve hole cleaning, but their effectiveness decreases as the wellbore inclination increases. One way to solve this issue is to add fibers to the drilling fluid and reduce the settling velocity of the solids to improve the fluid’s lifting capacity.The purpose of this study is to evaluate the cleanout performance of fibrous fluids in horizontal wells using a large-scale flow loop. Thus, flow loop experiments were conducted to assess the impact of fiber on equilibrium bed height. The experiment measures equilibrium bed height and pressure loss in an eccentric annular test section. During the investigation, the flow rate and apparent viscosity of the fluid and fiber length were varied.The results demonstrate the effectiveness of long fiber (length = 0.5 in.) in improving hole cleanout in horizontal wellbores. When a small amount (0.04% wt.) of long fiber was added, the cleanout performance of the high-viscosity fluid did not show a noticeable change. In contrast, the performance of the low-viscosity fluid improved. Even though adding fiber has minimal impact on the apparent viscosity of the fluids, the long fiber improved the cleaning performance of the low-viscosity fluid.Hole cleaning is challenging in operations such as coiled tubing (CT) in which rotating the drillstring is impossible. Hence, this study focuses on cleanout operations in horizontal wellbores without drillstring rotation. The novelty of this work lies in demonstrating how the adjustment of fluid viscosity can positively impact the hole cleaning performance of fibrous fluids in the absence of pipe rotation. The study also presents a new approach to modeling the effects of solids bed irregularity on wellbore pressure loss and equivalent circulating density (ECD).
Organisational approaches to the use of extracorporeal cardiopulmonary resuscitation
for refractory out of hospital cardiac arrest: a narrative review
Authors: Nikolov Kalina , Ahl Eric , Wagner Henrik , Härdig Bjarne Madsen 
Published: September 2022

Abstract

Background: The objective of this narrative review was to provide an overview of how programmes around the world are organised regarding the use of extracorporeal cardiopulmonary resuscitation for refractory out of hospital cardiac arrest.
Methods: A systematic literature search was performed in PubMed, EMBASE, ClinicalTrials.gov, the EU Clinical Trials Register, and Cochrane Library. The main parameters assessed were article type, region- population-size, cost–benefit analyses, inclusion and exclusion criteria, procedure location, team composition and outcome parameters reported.
Results: Sixty-three articles were eligible for inclusion. One randomised trial had been published and 4 were ongoing. Among the 58 articles that reported data on organisational topics, 47 transported the patient to the hospital for cannulation, 10 initiated extracorporeal cardiopulmonary resuscitation on-scene and one did both. The organisations cover different populations sizes that ranged between 30,788–19,303,000 inhabitants. The most common inclusion criterion was a lower age limit of 18 years (in 86% articles), followed by an upper age limit (in 83% articles), but this varied (50 and 80 years). Other criteria were witnessed collapse (67%) and initial shockable rhythm (43%), asystole (3%), pulseless electrical activity (5%), pulmonary embolism (2%), and signs of life during cardio- pulmonary resuscitation (5%). The most common exclusion criterion was a Do-Not-Resuscitate order (38%) followed by existence of major comorbidities (36%). The extracorporeal cardiopulmonary resuscitation teams varied between 2–8 members and had various professions involved. Of the 44 studies reporting outcomes, 77% reported survival to hospital discharge. Outcome as one- (in 14%), 3- (in 5%) and 6-month survival (in 7%), Cerebral-Performance-Category-score of 1–2 was reported by 50% of the studies.
Conclusion: There is variation in regional size, team composition, inclusion and exclusion criteria and reported outcomes. These discrepancies make it difficult to determine how to use extracorporeal cardiopulmonary resuscitation in the most effective manner from the current publications. Despite an increasing amount of research published in the last few years, there remains a need for better coherence to inclusion/exclusion criteria and outcome reporting, the optimal team composition and location for the procedure.
Impact of Drought on Forest Cover Change in Yabelo Forest in Semi-arid Region of Ethiopia
Authors: Wolteji Bayisa Negasa , Gizawu Fayera , Gemeda Dessalegn Obsi 
Published: September 2022

Abstract
Drought is a key challenge of third world countries whose economies are based on agriculture. Also, lack of rainfall plays a major role in exacerbating climate change. Drought is resulting in a decline in vegetation greenness and plant mortality specifically in semi-arid region. In this study, satellite-based drought assessment was used to characterize drought, and its impact on forest in semi-arid region of Ethiopia. Drought severity and forest cover change were detected over the period between 2014, and 2022 using geographic information system and remote sensing techniques. Vegetation condition index (VCI) and normalized difference vegetation index (NDVI) are used to detect drought severity over the past decades. Results show that 2015, 2017, 2019and 2022 were the most drought years. The spatial forest covers is significantly decreased during severe drought years. Minimum dense forest was observed in 2017and 2019 over spatial extend of 0.80 ha and 124.6 ha, respectively during drought years. To evaluate how precipitation deficit affect forest function, simple linear regression is performed. Result of (R2 = 0.49 and P = 0.05) indicate that, nearly 50% of forest greenness is influenced by precipitation deficit. This study suggested that remote sensing indices are very crucial to characterize drought pattern at small “scale” particularly in assessment of drought impact on forest resource.
Investigating Potential Vulnerability of Critical Infrastructure and way forward – recommendations to enhance security and resilience
Authors: Melaku Henock Mulugeta 
Published: September 2022

Abstract
In this research, firstly critical infrastructures (CIs) that are found in Ethiopia are identified. Then, potential security vulnerabilities of these CIs are identified by performing strategic and tactical level risk and vulnerability assessments. To perform the stated assessments, questionnaires were prepared using different standards. Moreover, on-site interviews, existing document and literature reviews were conducted. By performing the above research methodologies, the security vulnerabilities of selected CIs were thoroughly investigated. Finally, factors that contribute to the security vulnerabilities are critically identified and way forward recommendations are given to fill the identified security gaps and vulnerabilities.
Validation of the HLS-EU-Q6 and HLS-EU-Q16 questionnaire of Portuguese version - a methodological study
Authors: Pedro Ana Rita , Raposo Beatriz , Luís Luís , Amaral Odete , Escoval Ana , Dias Sara Simões 
Published: September 2022

Abstract
Background
Health Literacy (HL) refers to the empowerment and competencies of individuals and the general population to navigate in the various areas of health care, to make decisions regarding their health in everyday life in an individual, family, or social context. Due to the dynamic process of health literacy, health professionals need to have a set of skills and real information that allow them to adapt to the changing landscape of people's literacy in order to empower them in the areas they need. To succeed, it is crucial to have the means to determine the health literacy level of the general population, in this case in the Portuguese context. Therefore, this study aims to validate the Portuguese version of HLS-EU-Q16 (HLS-EU-PT-Q16) and HLS-EU-Q6 (HLS-EU-PT-Q6) from the long form of HLS-EU-Q47 already validated for Portugal (HLS-EU-PT).
Methods
In order to analyse the results already obtained, a comparison was made with HLS-EU-PT index. Spearman correlation analysis was performed between the single items and scale scores. Cronbach’s alphas for all the indexes were calculated as a measure of internal consistency. For comparison associations between all the HL indexes - non-parametric test were calculated. The software used for the statistical analysis was SPSS (version 28.0).
Results
Cronbach’s alpha coefficient for HLS-EU-PT-Q16 internal consistency was 0.89 overall, and regarding HLS-EU-PT-Q6 the Cronbach’s alpha coefficient obtained was 0.777 overall. Indexes were not normally distributed, and Spearman correlation was computed. The results obtained in the correlation between G HL47 and G HL16 indexes (ρ = 0.949, p < 0.001) and the correlation between G HL6 and HLS-EU-PT-Q6 have a perfect correlation.
Conclusions
The HLS-EU-PT-Q16 and HLS-EU-PT-Q6 are concise and valid instruments to determine the health literacy level of the Portuguese population. However, the forms that show the smallest differences between the percentages of the levels of health literacy are the 47-item and the 16-item forms.
Analysis of macro and micronutrient contents and spatial distribution for assessment at regional-scale: Case study Vushtrria region (Kosovo)
Authors: Shehu Ilir 
Published: September 2022

Abstract

Soil fertility determines crop growth productivity and consequently affects quality and sustainability. Thirty composite samples were taken, most in intensive cultivation and some in uncultivated soil. For soil analysis, classic and instrumental methods were used. Micronutrients in soil were measured by the ICP-OES method. Assessing contents, relationships between macro and micronutrients, and spatial distribution, were used methods descriptive statistics, Pearson correlation, Arcgis pro map, clusters, and PCA analyses. The physicochemical properties and potassium levels reflect the balanced distribution. Nitrogen (N) and Phosphorus (P) were at depleted levels. The kriging interpolation patterns showed uniform distribution of macronutrients, small changes were presented in uncultivated soil. Iron (Fe) and copper (Cu) showed acceptable balances, Nickel (Ni), Molybdenum (Mo), and Zinc (Zn) showed increased values compared to the New Dutch list and SEPA, while Boron (B) and selenium (Se) were at low content. PCA analysis and Dendrograms reflected the grouping of variables in one component resulting in the same source. Correlation analysis displays significant relationships between the parameters which were related to the inorganic component of the soil. Is recommended to add fertilizers, and micronutrients for balancing based on good practices and continuous monitoring.
An Alternative Parameter Free Algorithm to DBSCAN Method by Using Data Point Positioning Analysis (DBSCAN-DPPA)
Authors: Mustapha S.M.F.D Syed 
Published: September 2022

Abstract
Density-based spatial clustering of applications with noise (DBSCAN) is a powerful unsupervised clustering method for its ability to manage noises and arbitrary cluster shapes without the need to pre-determine the total clusters. However, the performance of DBSCAN is dependable to right choice of its two initial parameters – MinPts and Eps. Much research had been done to overcome the challenges by reducing the dependencies of these two parameters or automatically determine the values. This paper will review some of these various techniques related to reducing the dependencies of two DBSCAN initial parameters and subsequently proposes the new algorithm called DBSCAN-DPPA which do not require the initial setting of the two parameters by using Data Point Positioning Analysis. The algorithm is simple as it does not need any parameters to be initially assigned manually as it performs analysis on the positions of data points to determine the 1-NN and Max-NN. The algorithm is applied on 13 benchmark datasets that have been applied in many clustering algorithms. The performance of the algorithm is visually compared with the three-dimensional graph plotting at various angles to prove the number of clusters. The results show that the modified DBSCAN-DPPA algorithms are comparable to the performance of the traditional DBSCAN algorithm such that it manages to detect arbitrary cluster shapes, identify the number of clusters and manage the data sets with noises.
The Effects of Source Doping Concentration and Doping Gradient on the ON-State Current of Si Nanowire TFETs
Authors: Liu Keng-Ming , Hsieh Yu-En 
Published: September 2022

Abstract
Tunnel field-effect transistor (TFET) has been considered one of the promising next-generation transistors due to its potentially limit-breaking low subthreshold swing and better immunity against the short-channel effects. However, the low ON-state current (ION) of TFETs has been a critical problem to be dealt with. In this work, we investigated the effects of the source doping concentration and the source doping gradient (SDG) on the ION of the n-type Si gate-all-around (GAA) nanowire (NW) TFETs by the Atlas device simulator. Unexpectedly, we found that increasing the source doping concentration does not necessarily improve the ION especially for the TFETs with large SDG. Besides, reducing the SDG indeed increases the ION, however, for the TFETs with low source doping concentration such as 1×1019 cm-3, the ION improvement by lessening SDG becomes insignificant.
Densification behaviour of laser powder bed fusion processed Ti6Al4V: Effects of customized heat treatment (CHT) and build direction
Authors: Pathania Akshay , Subramaniyan Anand Kumar , Kenchappa Nagesha Bommanahalli 
Published: September 2022

Abstract
The present work exploits the customized heat treatment (CHT) to study the porosity levels of Optical microscopy evaluates the porosity level and microstructure in different conditions. Further, the porosities are classified as inter-micropores (size < 10 µm) and super-micropores (size > 10 µm). Moreover, the XRD technique was used to analyse the different phases that arose during laser powder bed fusion (LPBF) and CHT. The CHT at elevated temperature (1050ºC) helps to reduce the overall porosity level by two times that of as-printed samples due to the sintering self-healing phenomenon. Interestingly, the super-micropores observed in as-printed samples are reduced via CHT, which is favourable for enhancing mechanical properties. Moreover, the refinement of microstructures into different phases after CHT has improved the densification behaviour. (i). Classification and quantifications of the porosities level of LPBF processed Ti6Al4V alloy under both directions due to CHT. (ii). The effect of CHT and its pore self-healing mechanism and microstructure refinement on LPBF processed Ti6Al4V alloy. (iii) This study reveals that the CHT technique can be beneficial in introducing isotropic microstructure and densifying the distinctive LPBF components.
Growing uncertainty in projected spring onset variability in the Northern Hemisphere
Authors: Li Xiaolu , Ault Toby , Evans Colin , Lehner Flavio , Carrillo Carlos , Donnelly Alison , Crimmins Theresa , Gallinat Amanda , Schwartz Mark 
Published: September 2022

Abstract
Plant phenology regulates the carbon cycle and land-atmosphere coupling. Currently, climate models often disagree with observations on the seasonal cycle of vegetation growth, partially due to how spring onset is measured and simulated. Here we use both thermal and leaf area index (LAI) based indicators to characterize spring onset in CMIP6 models. Although the historical timing varies considerably across models, most agree that spring has advanced in recent decades and will continue to arrive earlier with future warming. Across the Northern Hemisphere for the periods 1950–2014, 1981–2014, and 2015–2099, thermal-based indicators estimate spring advances of -0.7 ± 0.2, -1.4 ± 0.4, and − 2.4 ± 0.7 days/decade, while LAI-based indicators estimate − 0.4 ± 0.3, -0.1 ± 0.3, and − 1 ± 1.1 days/decade. Thereby, LAI-based indicators exhibit later spring and weaker trends toward earlier onset, leading to index-related uncertainty being as large or larger than model uncertainty for a given index. Reconciling index-related discrepancies is therefore critical for understanding future changes in spring onset.
Surveillance Strategy after Curative Resection for Oesophageal Squamous Cell Cancer Using the Hazard Function
Authors: Kanematsu Kyohei , Kudose Yozo , Utsunomiya Daichi , Kubo Kentaro , Fujii Yusuke , Kurita Daisuke , Ishiyama Koshiro , Oguma Junya , Daiko Hiroyuki 
Published: September 2022

Abstract

Background The optimal surveillance period and frequency after curative resection for oesophageal squamous cell carcinoma (OSCC) remain unclear, and current guidelines are mainly based on traditional Kaplan–Meier analyses of cumulative incidence rather than risk analysis. The aim of this study was to determine a suitable follow-up surveillance program following oesophagectomy for OSCC using the hazard function. Methods A total of 1187 patients who underwent curative resection for OSCC between 2000 and 2014 were retrospectively analyzed. The changes in the estimated hazard rates (HRs) of recurrence over time were analyzed according to tumour-node-metastasis stage. Results Four hundred seventy-eight (40.2%) patients experienced recurrence during the follow-up period (median, 116.5 months). The risk of recurrence peaked at 9.2 months after treatment (HR = 0.0219) and then decreased to half the peak value at 24 months post-surgery. The HRs for Stage I and II patients were low (< 0.007) post-treatment. The HR for Stage III patients peaked at 9.9 months (HR = 0.031) and the hazard curve declined to a plateau at 30 months. Furthermore, the HR peaked at 10.8 months (HR = 0.052) in Stage IV patients and then gradually declined from 50 months. Conclusions According to tumour-node-metastasis stage, changes in the HRs of postoperative recurrence in OSCC varied significantly. Intensive surveillance should be undertaken for 3 years in Stage III patients and for 4 years in Stage IV patients, followed by annual screening. For Stage I OSCC patients, a reduction in the surveillance intensity could be taken into consideration.