bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Pengaruh Kecepatan Putaran Spin Coating Dengan Bahan Perovskite Kalsium Silikat Terhadap Kinerja Perovskite Solar Cell
Authors: Maulana Eka , Nurussaâ€™adah Nurussaâ€™adah , Prakasa Mochamad Andhika 
Published: January 2023

Saat ini kebutuhan energi di Indonesia terus mengalami peningkatan sejalan dengan tingkat kehidupannya, salah satunya adalah energi listrik. Energi listrik merupakan kebutuhan yang penting untuk membantu mempermudah aktivitas manusia. Penggunaan energi listrik terus mengalami peningkatan setiap tahunnya. Salah satu penyebabnya adalah penggunaan energi listrik yang tidak efisien khususnya pada sektor rumah tangga. Salah satu solusi dari masalah tersebut adalah permanenan energi menggunakan sel surya. Hal ini sangat memungkinkan mengingat Indonesia adalah negara beriklim tropis yang mendapatkan sinar matahari terus menerus sepanjang tahun. Perovskite Solar Cell merupakan terobosan baru sebagai alternatif pembuatan panel surya. Material yang digunakan sebagai bahan perovskite menjadi objek penelitian yang luas dan sangat terbuka untuk dikembangkan karena efesiensi yang didapatkan mengalami peningkatan yang luar biasa dari 3,8% menjadi 22,1% sejak tahun 2009 (Saliba, M., dkk., 2016). Pada penelitian ini, bahan perovskite yang digunakan adalah Â dengan variasi kecepatan putaran spin coating 600 rpm, 700 rpm, 800 rpm, 900 rpm, dan 1000 rpm. Dalam pengujiannya, lampu senter LED Torch Cree E17 XM-L T6 digunakan sebagai sumber cahaya karena dapat menghasilkan cahaya hingga 8000 lumen. Berdasarkan hasil pengujian, didapatkan tegangan dan arus rata-rata terbesar mampu dihasilkan oleh sampel dengan variasi kecepatan putaran 1000 rpm yaitu 240,05 mV dan 2,1394 Î¼A.
Glycemic Variability and Fluctuations in Cognitive Status in Adults With Type 1 Diabetes (GluCog): Observational Study Using Ecological Momentary Assessment of Cognition
Authors: Mascarenhas Fonseca Luciana , Strong Roger W , Singh Shifali , Bulger Jane D , Cleveland Michael , Grinspoon Elizabeth , Janess Kamille , Jung Lanee , Miller Kellee , Passell Eliza , Ressler Kerry , Sliwinski Martin John , Verdejo Alandra , Weinstock Ruth S , Germine Laura , Chaytor Naomi S 
Published: January 2023

Background
Individuals with type 1 diabetes represent a population with important vulnerabilities to dynamic physiological, behavioral, and psychological interactions, as well as cognitive processes. Ecological momentary assessment (EMA), a methodological approach used to study intraindividual variation over time, has only recently been used to deliver cognitive assessments in daily life, and many methodological questions remain. The Glycemic Variability and Fluctuations in Cognitive Status in Adults with Type 1 Diabetes (GluCog) study uses EMA to deliver cognitive and self-report measures while simultaneously collecting passive interstitial glucose in adults with type 1 diabetes.

Objective
We aimed to report the results of an EMA optimization pilot and how these data were used to refine the study design of the GluCog study. An optimization pilot was designed to determine whether low-frequency EMA (3 EMAs per day) over more days or high-frequency EMA (6 EMAs per day) for fewer days would result in a better EMA completion rate and capture more hypoglycemia episodes. The secondary aim was to reduce the number of cognitive EMA tasks from 6 to 3.

Methods
Baseline cognitive tasks and psychological questionnaires were completed by all the participants (N=20), followed by EMA delivery of brief cognitive and self-report measures for 15 days while wearing a blinded continuous glucose monitor. These data were coded for the presence of hypoglycemia (<70 mg/dL) within 60 minutes of each EMA. The participants were randomized into group A (n=10 for group A and B; starting with 3 EMAs per day for 10 days and then switching to 6 EMAs per day for an additional 5 days) or group B (N=10; starting with 6 EMAs per day for 5 days and then switching to 3 EMAs per day for an additional 10 days).

Results
A paired samples 2-tailed t test found no significant difference in the completion rate between the 2 schedules (t17=1.16; P=.26; Cohen dz=0.27), with both schedules producing >80% EMA completion. However, more hypoglycemia episodes were captured during the schedule with the 3 EMAs per day than during the schedule with 6 EMAs per day.

Conclusions
The results from this EMA optimization pilot guided key design decisions regarding the EMA frequency and study duration for the main GluCog study. The present report responds to the urgent need for systematic and detailed information on EMA study designs, particularly those using cognitive assessments coupled with physiological measures. Given the complexity of EMA studies, choosing the right instruments and assessment schedules is an important aspect of study design and subsequent data interpretation.
Machine Learning–Based Prediction of Acute Kidney Injury Following Pediatric Cardiac Surgery: Model Development and Validation Study
Authors: Luo Xiao-Qin , Kang Yi-Xin , Duan Shao-Bin , Yan Ping , Song Guo-Bao , Zhang Ning-Ya , Yang Shi-Kun , Li Jing-Xin , Zhang Hui 
Published: January 2023

Background
Cardiac surgery–associated acute kidney injury (CSA-AKI) is a major complication following pediatric cardiac surgery, which is associated with increased morbidity and mortality. The early prediction of CSA-AKI before and immediately after surgery could significantly improve the implementation of preventive and therapeutic strategies during the perioperative periods. However, there is limited clinical information on how to identify pediatric patients at high risk of CSA-AKI.

Objective
The study aims to develop and validate machine learning models to predict the development of CSA-AKI in the pediatric population.

Methods
This retrospective cohort study enrolled patients aged 1 month to 18 years who underwent cardiac surgery with cardiopulmonary bypass at 3 medical centers of Central South University in China. CSA-AKI was defined according to the 2012 Kidney Disease: Improving Global Outcomes criteria. Feature selection was applied separately to 2 data sets: the preoperative data set and the combined preoperative and intraoperative data set. Multiple machine learning algorithms were tested, including K-nearest neighbor, naive Bayes, support vector machines, random forest, extreme gradient boosting (XGBoost), and neural networks. The best performing model was identified in cross-validation by using the area under the receiver operating characteristic curve (AUROC). Model interpretations were generated using the Shapley additive explanations (SHAP) method.

Results
A total of 3278 patients from one of the centers were used for model derivation, while 585 patients from another 2 centers served as the external validation cohort. CSA-AKI occurred in 564 (17.2%) patients in the derivation cohort and 51 (8.7%) patients in the external validation cohort. Among the considered machine learning models, the XGBoost models achieved the best predictive performance in cross-validation. The AUROC of the XGBoost model using only the preoperative variables was 0.890 (95% CI 0.876-0.906) in the derivation cohort and 0.857 (95% CI 0.800-0.903) in the external validation cohort. When the intraoperative variables were included, the AUROC increased to 0.912 (95% CI 0.899-0.924) and 0.889 (95% CI 0.844-0.920) in the 2 cohorts, respectively. The SHAP method revealed that baseline serum creatinine level, perfusion time, body length, operation time, and intraoperative blood loss were the top 5 predictors of CSA-AKI.

Conclusions
The interpretable XGBoost models provide practical tools for the early prediction of CSA-AKI, which are valuable for risk stratification and perioperative management of pediatric patients undergoing cardiac surgery.
Glycemic Outcomes and Feature Set Engagement Among Real-Time Continuous Glucose Monitoring Users With Type 1 or Non–Insulin-Treated Type 2 Diabetes: Retrospective Analysis of Real-World Data
Authors: Dowd Robert , Jepson Lauren H , Green Courtney R , Norman Gregory J , Thomas Roy , Leone Keri 
Published: January 2023

Background
The benefits of real-time continuous glucose monitoring (RT-CGM) are well established for patients with type 1 diabetes (T1D) and patients with insulin-treated type 2 diabetes (T2D). However, the usage and effectiveness of RT-CGM in the context of non–insulin-treated T2D has not been well studied.

Objective
We aimed to assess glycemic metrics and rates of RT-CGM feature utilization in users with T1D and non–insulin-treated T2D.

Methods
We retrospectively analyzed data from 33,685 US-based users of an RT-CGM system (Dexcom G6; Dexcom, Inc) who self-identified as having either T1D (n=26,706) or T2D and not using insulin (n=6979). Data included glucose concentrations, alarm settings, feature usage, and event logs.

Results
The T1D cohort had lower proportions of glucose values in the 70 mg/dl to 180 mg/dl range than the T2D cohort (52.1% vs 70.8%, respectively), with more values indicating hypoglycemia or hyperglycemia and higher glycemic variability. Discretionary alarms were enabled by a large majority in both cohorts. The data sharing feature was used by 38.7% (10,327/26,706) of those with T1D and 10.4% (727/6979) of those with T2D, and the mean number of followers was higher in the T1D cohort. Large proportions of patients with T1D or T2D enabled and customized their glucose alerts. Retrospective analysis features were used by the majority in both cohorts (T1D: 15,783/26,706, 59.1%; T2D: 3751/6979, 53.8%).

Conclusions
Similar to patients with T1D, patients with non–insulin-treated T2D used RT-CGM system features, suggesting beneficial, routine engagement with data by patients and others involved in their care. Motivated patients with diabetes could benefit from RT-CGM coverage.
Investigation of occurrence of specially protected whorl snails Vertigo spp. in the habitats of EU importance
Authors:   Latvian State Forest Research Institute “Silava”, Pilāte Digna , Spuņģis Voldemārs , Skuja Agnija , Ozoliņš Dāvis ,   Institute of Biology, University of Latvia
Published: January 2023

In Latvia the conservation status is described as unfavourable bad for three whorl snail species: Vertigo angustior, V. geyeri and V. genesii. Therefore we studied the malacofauna and assessed the species’ occurrence in specially protected habitats of EU importance with dif-ferent management practices.
Impact of light source on distribution of greenhouse whiteflies Trialeurodes spp. (Hemiptera: Aleyrodidae) on tomatoes in greenhouses
Authors:   University of Latvia, Institute of Biology, Salmane Ineta , Juceviča Edīte ,   Latvia University of Life Science and Technologies
Published: January 2023

Nowadays to ensure better plant production various artificial light sources are used in greenhouses. Light in terms of photoperiod length, wavelength and temperatures is one of the most important factors in the insect life. Whiteflies Trialeurodes spp. are known to feed on many plant species, including agriculturally important ones, and in favourable conditions can rapidly reproduce and cause vast plant damage. During our monitoring the significant increase of whitefly numbers was observed under high-pressure sodium vapor lamps Helle Magna com-pared to LED and induction lamps.
Study of the antioxidants and nutrients in cloudberry (Rubus chamaemorus L.) in Latvia
Authors:   University of Latvia, Institute of Biology, Miķelsone Andra , Krasņevska Nikole , Vasiljeva Svetlana , Osvalde Anita , Butkauskas Dalius , Grauda Dace 
Published: January 2023

Cloudberry (Rubus chamaemorus L.) is an economically important plant that is already cultivated. The aim of the study is to create and analyze a collection of cloudberry sam-ples representing Latvian population.
Islamic Law and Social Media: Analyzing the Fatwa of Indonesian Ulama Council Regarding Interaction on Digital Platforms
Authors: Shuhufi Muhammad , Fatmawati Fatmawati , Qadaruddin Muhammad , B Jalaluddin , Muhammad Yunus Muttaqien , M.Nur Nainunis 
Published: January 2023

The MUI fatwa serves as an answer to issues of Islamic law related to socio-religious issues in Indonesia. The fatwa comes through the ijtihad of the scholars so that it has legal authority so that Muslims have solutions to problems that arise. The article aims to examine Islamic law and social media which focuses on the MUI fatwa Number 24/2017 concerning guidelines for mu’āmalah and interacting using digital platforms. This research is sociological legal research that examines the function of law that works in social reality. Sociologically, the law functions as a tool to control and manipulate and change society for the better. The results of the study show that the MUI fatwa is a practical guideline for the use of social media, social interaction guidance, content verification guidelines, content creation, and content dissemination. So that ghibah, namīmah, intimidation, and hate speech will not occur. From the perspective of sociological law, the fatwa serves to provide guidance in social interaction so that society can be engineered and changed in a better direction. Thus, the fatwa as part of Islamic law is able to carry out its function as social control of society so that social media is used properly and usefully.
Simplified Meal Announcement versus Precise Carbohydrate Counting in Adolescents with Type 1 Diabetes using the MiniMed 780G Advanced Hybrid Closed Loop System: A Randomized Controlled Trial Comparing Glucose Control
Authors: Petrovski Goran , Campbell Judith , Pasha Maheen , Day Emma , Hussain Khalid , Khalifa Amel , Heuvel Tim van den 
Published: January 2023

<p> </p>
<p><strong>Objective</strong>. We aimed to compare glucose control in adolescents with Type 1 Diabetes (T1D) on MiniMed 780G system that used simplified meal announcement to those that used precise carbohydrate counting. </p>
<p><strong>Research Design and Methods.</strong> This randomized controlled trial included 34 participants (12-18 years) with T1D that were on multiple daily injections or insulin pump and were scheduled to start using MiniMed 780G system at Sidra Medicine, Qatar. After a 7-day run-in period, participants were randomly assigned to the Fix group (simplified meal announcement by preset of 3 personalized fixed carbohydrate amounts) or the Flex group (precise carbohydrate counting) and followed for 12 weeks. Between-group difference in time in range (TIR) was the primary endpoint. Secondary endpoints included HbA1c and other glycometrics.</p>
<p><strong>Results</strong>. During the 12-week study phase, TIR was 73.5±6.7% in the Fix and 80.3±7.4% in the Flex group, with a between-group difference of 6.8% in favor of Flex (p=0.043). Time above 250 mg/dl was better in the Flex group (p=0.012), whereas HbA1c (p=0.168), time below range (p=0.283) and time between 180-250 mg/dL (p=0.114) did not differ. </p>
<p><strong>Conclusion. </strong>Adolescents on the MiniMed 780G system using a preset of 3 personalized fixed carbohydrate amounts can reach international targets of glycemic control. Therefore, it may be a valuable alternative to precise carbohydrate counting in users who are challenged by precise carbohydrate counting. Because carbohydrate counting further improves outcomes, these skills remain important for MiniMed 780G users. </p>
Effect of Different Doses of Pituitary Gland (PG) Hormone on Induced Breeding of Bheda/Meni (Nandus nandus) Fish
Authors: Das David Rintu , Shova Tajrina Akter , Haque Md. Rezoanul , Begum Nasima , Sultana Sharmin 
Published: January 2023

An experiment on induced breeding of Bheda/Meni fish (Nandus nandus) was carried out to determine the optimum dose of pituitary gland hormone during December 2018 to June 2019 at Floodplain Sub-station of Bangladesh Fisheries Research Institute (BFRI), Santahar, Bogura. In this experiment, PG was used as inducing agent for both male and female fish. For induced breeding, PG was administered at the rate of 1, 2 and 3 mg/kg body weight to male brood fish, and correspondingly 2, 4 and 6 mg/kg body weight to female brood fish that were considered as the treatments namely, T1, T2 and T3, respectively. Fifty pairs of male and female fish were collected from the Raktadaha beel from where forty-five pairs were selected for induced breeding and the average body weight of the male and female were 43.0±2.5 gm and 55.2±3.0 gm in T1, 45.1±2.9 gm and 56.0±2.8 gm in T2, and 40.3±2.4 gm and 52.6±3.2 gm in T3. The male-female ratio was maintained as 1:1 in the breeding hapa. It was observed that female and male brood fishes ejected eggs and milt, respectively at the contemporary times. Ovulation occurs naturally after 8-10 hours of injection. The fecundity of fish (body weight 45 to 60 gram each) varied from 7,232-27,546. The fertilized eggs were hatched within 16-20 hours. The hatchlings were reared in rearing tank up to 5 days. The fertilization rate of Nandus nandus were 76±4 %, 93±5 % and 57±3 %, in T1, T2, and T3, respectively and the hatching rate were 72±3 %, 86±2 % and 61±4 % in T1,T2 and T3, respectively. Both the fertilization and hatching rates were significantly higher (p<0.05) in T2 treatment than T1 treatment followed by T3 treatment. The mean values of water temperature (°C) were 29.5±1.15, 30.0±2.03 and 30.8±1.76°C, pH was 7.4 ±0.46, 7.8±0.53 and 7.3±0.49 and dissolved oxygen (mg/L) were 5.5±0.61, 5.3±0.24 and 5.8±0.56 in brooder tanks, breeding hapa and larval hapa, respectively during the experiment and did not vary (P>0.05) among them and were suitable for induced spawning of Nandus nandus. Based on the findings of the present experiment, it was revealed that T2 showed the best outcome in terms of fertilization rate (93±5%) and hatching rate (86±2%) among the three treatments under optimum water quality parameters where PG hormone were used at the rate of 2 and 4 mg/kg body weight for male and female fish, respectively. Therefore, the present findings could be used in induced breeding of N. nandus for the development of hatchery propagation. Further trials on rearing or culture of this endangered fish under different stocking densities or feedings might be conducted at on-station and on-farm levels in Bangladesh as well as elsewhere of this region to save the fish from extinction or for its conservation and rehabilitation.
Linking Adverbials in Indonesian EFL Students’ Essays: A Corpus-Driven Study
Authors: Oktavianti Ikmi Nur , Sarage Japen 
Published: January 2023

Writing is the activity of arranging and organizing ideas that need some logical connectors to make the ideas cohesively structured. There are several plausible means for cohesiveness, including linking adverbials (LAs). This study examines the LA categories found in EFL students’ academic essays and explores how EL students use them. The data were collected from students’ essays compiled as a learner corpus, Learner Corpus of Academic Writing, comprising 52,404 words. The present study employed LancsBox as the corpus tool and The Louvain Corpus of Native English Essays as the control corpus to assist the analysis. The study results show that all primary categories of LAs are found in the corpus. However, the subcategory transition to another topic is absent from the corpus. In the frequency of use, causal resultative LAs outnumber all other categories, followed by additive and adversative LAs. As for the least frequent LAs, the study identified sequential types. In comparison to the native writer corpus, it is found that there are shared similarities, including the categories and the subcategories of LAs found in both corpora. Regarding the frequency of use, the most frequent types are relatively similar with different positions, namely causal resultative and additive LAs, while the least frequent type is sequential. These results suggest more considerations in designing writing materials, especially in regard to transition markers belonging to the sequential category.
A case study for a transformational festival creation in Lourinhã, Portugal
Authors: de Carvalho João Malho Ferreira Ribeiro , Gustavo Nuno , Afonso Victor 
Published: January 2023

Abstract
This research aims to evaluate, select, and validate strategic alternatives for implementing a transformational festival proposal in the municipality of Lourinhã, Portugal. The methodological model investigates the historical context, the classical festival themes, and the transformational festival’s characterisation through literature review and an exploratory interview with a major British stakeholder; the market potential through randomised inquiries representative of the Portuguese population; the contextual strategic assessment through a focus group with local stakeholders; and verifying the possibility of validating the concept of a festival design based upon these premises, through an interview with a major national stakeholder and three short interviews. As a result, we characterised transformational festivals, confirmed consumer profile key indicators, and validated a concept design with a hybrid strategic approach, essential to developing a disruptive, attractive, and marketable concept. The originality of the research is related to the return to the origins that these festivals highlight, as opposed to digital trends. The discrepancy between the paradigmatic importance of transformational festivals and their acceptance was highlighted. The research was limited by the lack of stakeholders’ acceptance of participation in the qualitative research.
Causal Dynamics Between Tourism Receipts, Economic Growth, and Real Exchange Rate in Algeria’s Economy Between 1990 and 2019
Authors: Louail Bilal 
Published: January 2023

Abstract
This study aimed to clarify the relationship between economic growth and tourism revenue in the Algerian economy. It focused on the relationship between economic growth, real exchange rate, and tourism receipts. This investigation is intended to fill a gap in the empirical literature on the tourism sector in developing countries. It used the autoregressive distributed lag model adopted from 1990 through 2019. The relationship between economic growth, tourism receipts, and real exchange rate in Algeria is a unidirectional causality relationship; and the tourism receipts and the real exchange rate affect the economy in the short and long term. In terms of long-term equilibrium, there was a positive but nonsignificant impact of tourism receipts on economic growth. At the same time, there was no significant effect of the real exchange rate on economic growth. In the short term, there was a positive and significant impact of tourism receipts lag on economic growth. A positive and significant impact of the second difference lag of the real exchange rate was found. Algerian decision-makers can benefit from these findings when developing the tourism sector. This is the first examination of the effect of these variables in Algeria during the period between 1990 and 2019.
Where is the missing value? Evidence from the game industry IPOs underpricing in Poland
Authors: Śliwiński Paweł , Ablewski Szymon , Gemra Kamil , Łukowski Michał 
Published: January 2023

Abstract
The underpricing phenomenon on financial markets has long been the research subject in many financial areas – from neoclassical to behavioral finance. Once confirmed as a persistent pattern, it has begun an ongoing discussion as to its possible causes. Our study examined the phenomenon of IPO underpricing for companies from the game sector in Poland from 2016 to 2020. Many IPOs in Poland have attracted both international companies and investors, making the Warsaw Stock Exchange a kind of financial hub for game companies. Analyzing the whole IPO market in Poland, we however found substantial IPO underpricing, which is statistically higher in the game sector than in the no-game group of debuting companies. Our research argues that the issuer's industry may influence the size of the IPO's first-day return. We also noticed that the way the IPO was carried out influenced the underpricing. Greater underpricing characterized private offers compared to public offers.