bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengembangan Bahan Ajar Menulis Cerpen Berbasis Nilai-nilai Akhlak Berbantuan Google Sites
Authors: Nur Alimah Fitri , Sumardi Aida 
Published: June 2023

Penelitian ini melatarbelakangi kurangnya kemampuan peserta didik dalam mengembangkan cerpen yang bermuatan nilai-nilai akhlak. Untuk mengatasi hal tersebut, peneliti bertujuan menghasilkan 1) bahan ajar menulis cerpen berbasis nilai-nilai akhlak, 2) tingkat kelayakan dan respon terhadap produk yang dikembangkan. Penelitian ini menggunakan pendekatan Research and Development (R&D) yaitu model pengembangan ADDIE yang terdiri dari lima tahapan yaitu, Analysis, Design, Development, Impelementation, dan Evaluation. Penelitian ini menggunakan teknik pengumpulan data yaitu wawancara kepada pengajar bahasa Indonesia dan penyebaran angket terhadap peserta didik untuk memperoleh data kebutuhan pengembangan dan penilaian produk. Adapun sumber data terdiri dari ahli media, ahli materi dan respons peserta didik. Hasil validasi diperoleh: 1) validasi ahli media memperoleh presentase skor 93,3% dengan kriteria sangat layak, 2) validasi ahli materi memperoleh presentase skor 93,6% dengan kriteria sangat layak, 3) uji coba lapangan awal memperoleh presentase 93,4,% dengan kriteria sangat layak, 4) uji coba lapangan utama memperoleh presentase 94,3% dengan kriteria sangat layak. Berdasarkan data yang diperoleh menunjukan bahwa pengembangan bahan ajar menulis cerpen berbasis nilai-nilai akhlak berbantuan google sites layak digunakan sebagai bahan ajar bahasa Indonesia materi cerpen kelas X di SMK/sederajat.
Evaluasi Kinerja Guru Profesional Pada Masa Pandemi Covid -19 Di Sma Negeri 15 Maluku Tengah
Authors: Qadafi Qadafi 
Published: June 2023

Abstrak. Penelitian ini bertujuan untuk mendeskripsikan dan mengevaluasi kinerja guru profesional pada masa Pandemi Covid -19 Di Sma Negeri 15 Maluku Tengah. Jenis penelitian ini adalah evaluasi melalui metode pendekatan kualitatif dengan menggunakan model CIPP (Context, Input, Process, dan Product) sebagai alat evaluasi. Pengumpulan data pada proses evaluasi yaitu observasi, wawancara, dan studi dokumentasi. Hasil penelitian ini dapat disimpulkan bahwa berdasarkan masing-masing tahapan diantaranya pada tahapan konteks (Context) berdasarkan hasil peneilitian 80% berpendapat bahwa kinerja guru profesional didasarkan pada tujuan misi dan visi sekolah menunjukkan bahwa sekolah berperan dalam meningkatkan kinerja guru. Berdasarkan hasil evaluasi 95% berpendapat bahwa prasarana sekolah sangat lengkap seperti, ruang, computer, ruang fisika, ruang biologi, perpustakaan, ruang seni dan beberapa ruang lainnya. Pada tahapan masukan (Input), 95 % Sesuai dengan temuan evaluasi bahwa guru sertifikat melakukan materi ajar yang sesuai dengan kurikulum melalui program yang sudah di rencanakan oleh sekolah seperti punyusunan program tahunan, Silabus, RPP. Sesuai dengan hasil temuan evaluasi bahwa 85% mengatakan hubungan konseptual antara topik terkait. Menurut hasil penilaian 95% budaya sekolah dapat dilihat melalui keteraturan perilaku di sekolah standar yang dianut sekolah, nilai-nilai, dominan di sekolah, Filosofi sekolah, peraturan sekolah, dan lingkungan sekolah. Pada thapan proses (Process) 80 % menyusun rencana pelaksanaan pembelajaran pada awal semester secara mandiri dan kelompok, rencana pelaksanaan pembelajaran yang disusun telah sesuai dengan standar proses, dan tahapan produk (Product), 85 % Berdasar hasil temuan evaluasi bahwa guru sertifikat menguasai materi, struktur, dan konsep keilmuan yang mendukung pembelajaran pada masa covid-19. 90 % Dari hasi observasi dan wawancara dengan guru sertifikat pada pemelajaran inovatif teriming selama pandemi COVID-19 peneliti telah menggambarkan beberapa hal yaitu kapasitas guru untuk mengembangkan materi secara kreatif terbukti dengan penggunaan metode belajar mengajar. 85 % Sesuai dengan hasil temuan evaluasi guru sertifikat.
Comparative Study of the Efficiency of Some Shrinkage Estimators on the Seemingly Unrelated Regression Model
Authors:   Department of Statistics University of Ibadan Ibadan, Nigeria., Alaba Oluwayemisi Oyeronke , Lawal Afeez 
Published: June 2023

This study explored the efficiency of six different shrinkage estimators: Firinguetti , Alkhamisi and Shukur-Median , Alkhamisi and Shukur-Maximum , Hoerl and Kennard-Maximum , Hoerl et al-Harmonic mean , and Kibria on the Seemingly Unrelated Regression (SUR) model. A three-equation joint model was considered with different correlation levels among the explanatory variables (ρ_(x_i x_j )) and contemporaneous correlation levels (ρ_(ε_M )) among the equations. Samples sizes 20, 30, 50 and 100 replicated 10000 times in turn were considered for the simulation study. Results from the study revealed that the Trace Mean Square Error (TMSE) values for all the estimators decreased as the sample sizes increased when the different correlation levels among the explanatory variables were considered. When n = 20, ρ_(ε_M )= 0.9, the estimator R_AS had the best performance in terms of the TMSE criterion compared to the remaining estimators for all the cases of ρ_(x_i x_j ). When n = 30, ρ_(ε_M )= 0.9, the estimator R_SK had the best performance in terms of the TMSE criterion compared to the remaining estimators for ρ_(x_i x_j ) = 0.0, 0.9, while the estimator R_AS gave the best performance in terms of the TMSE criterion compared to the remaining estimators for ρ_(x_i x_j ) = 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8. When n = 50, ρ_(ε_M )= 0.9, the estimator R_SK had the best performance in terms of the TMSE criterion compared to the remaining estimators for ρ_(x_i x_j ) = 0.0, 0.1, 0.2, 0.3, 0.4, while the estimator R_AS had the best performance in terms of the TMSE criterion compared to the remaining estimators for ρ_(x_i x_j ) = 0.5, 0.6, 0.7, 0.8, 0.9. When n = 100, ρ_(ε_M )= 0.8, the estimator R_SK outperformed the other estimators in all cases except for ρ_(x_i x_j ) = 0.7, 0.8, 0.9. Conclusively, Alkhamisi and Shukur-Median outperformed other estimators, followed by Alkhamisi and Shukur-Maximum . Keywords: Multicollinearity, Ridge regression, Seemingly unrelated regression, Shrinkage	estimators, Trace mean square error.
1786-PUB: Type 2 Diabetes and the Presence of PAD vs. CAD Are Strong and Independent Predictors of LDL-C Target Achievement in Statin-Treated Patients with Established Cardiovascular Disease
Authors: PLATTNER THOMAS , VONBANK ALEXANDER , MADER ARTHUR , SPRENGER LUKAS , MAECHLER MAXIMILIAN , LARCHER BARBARA , LEIHERER ANDREAS , MUENDLEIN AXEL , DREXEL HEINZ , SAELY CHRISTOPH H. 
Published: June 2023

Low-density-lipoprotein cholesterol (LDL-C) target achievement is a cornerstone in the prevention of cardiovascular events in patients with atherosclerotic disease. Whether the presence of type 2 diabetes (T2DM) affects LDL-C target achievement in PAD and CAD patients is unclear and is addressed in the present study. We enrolled a large high-risk cohort of 813 statin treated patients with established cardiovascular disease, 568 patients with angiographically proven stable CAD and 245 patients with sonographically proven peripheral artery disease (PAD). Diabetes was diagnosed according to ADA criteria. LDL-C overall was significantly lower in patients with T2DM (n=307) than in those who did not have T2DM (104±38 vs. 117±37; p&lt;0.001) and in patients with PAD when compared to those with CAD (97±35 vs. 118±38 mg/dl; p &lt;0.001). The LDL target of &lt;55 mg/dl was met by 5.8% of PAD patients and by 2.3% of CAD patients (p=0.012). In logistic regression analysis the presence of T2DM was an independent and strong predictor of LDL-C target achievement after multivariate adjustment including age, gender, BMI and CAD vs PAD (OR 2.77 [1.21-6.39]; p =0.016); conversely the presence of PAD vs CAD predicted LDL-C target achievement after multivariate adjustment including T2DM (OR 2.32 [1.06-5.05]; p=0.034) We conclude that T2DM and the presence of PAD vs. CAD are a strong and independent predictors of LDL-C target achievement in statin treated patients with established cardiovascular disease. However, only a minority of these patients meets the current LDL-C target of &lt;55 mg/dl.

Disclosure
T.Plattner: None. C.H.Saely: None. A.Vonbank: None. A.Mader: None. L.Sprenger: None. M.Maechler: None. B.Larcher: None. A.Leiherer: None. A.Muendlein: None. H.Drexel: None.
1788-PUB: Using the Lived Experience of Type 2 Diabetes and Its Clinical Care to Improve Diabetes Management through Use of Technology
Authors: TAYLOR LOUISE C. , AVERY LEAH , CORNER LYNNE , SULO SUELA , RUEDA RICARDO , TRENELL MICHAEL 
Published: June 2023

Introduction: Whilst treatment algorithms direct care, less is known about the lived experience of patients with type 2 diabetes (T2D).
Methods: Design thinking methods were applied to describe the lived experience of 16 patients with T2D, the care they receive, and the potential for technology to support care. Patients used design probes to document how diabetes influences their experiences at home and work, and while shopping and socialising - all used to inform a semi-structured workshop. Eight healthcare professionals took part in a semi-structured workshop exploring the lived experience of delivering care.
Results: Thematic analyses of design probes and workshops revealed that the lived experience of T2D and associated care are disconnected. Patients describe awareness and importance of managing their behaviours, while also recognizing the complexity of managing/changing behaviours at home and work, and while shopping or socialising. Care teams emphasised the importance of patient behaviour, but reported lacking the skills and tools to influence patient behaviour change during brief consultations. Patients and care teams reported the importance of early communication, education, and behavioural change, but expressed a lack of opportunity, particularly early in their diagnosis. Care teams described a knowledge-implementation gap (knowing what needs to be done but lacking time and resources to do it). Focus is on medications rather than lifestyle treatment approaches, including diet. Both groups were positive about using technology to bridge this gap but emphasised the importance of evidence-informed resource, ease of use and implementation.
Conclusions: The lived experience of T2D and its care are disconnected. Patients and care teams articulate this gap, despite education and support being a core element of diabetes care. Patients and care teams were positive about the potential use of technology, but emphasised ease of use and implementation.

Disclosure
L.C.Taylor: Employee; Changing Health Ltd, Other Relationship; Abbott Diabetes. L.Avery: None. L.Corner: None. S.Sulo: Employee; Abbott. R.Rueda: Employee; Abbott Nutrition, Stock/Shareholder; Abbott Nutrition. M.Trenell: Other Relationship; Abbott Diabetes, Stock/Shareholder; Changing Health Ltd.

Funding
Abbott Nutrition (Aversa)
1794-PUB: Potential for Improving CGM Systems? Anticipated Benefits from Increasing the Glucose Prediction of Current CGM Algorithms
Authors: EHRMANN DOMINIC , GLATZER TIMOR , PRIESTERROTH LILLI , OLESEN BIRGIT , KULZER BERNHARD , HERMANNS NORBERT 
Published: June 2023

Current CGM algorithms allow a glucose prediction up to 30 minutes. To elaborate on the potential to improve current CGM systems, we investigated if a possible increase in this prediction window to up to 2 hours would be perceived as a significant benefit.
People with type 1 and type 2 diabetes currently using a CGM system were invited to participate. Participants were presented with a scenario depicting the potential of a hypothetical CGM algorithm to predict the course of glucose for up to 2 hours. They were instructed to imagine how such a long-term prediction would affect their diabetes management. They were asked to complete the T1-Diabetes Distress Scale (T1-DDS) and the Hypoglycemia Fear Survey (HFS-II) and rate each item regarding the perceived potential change from using such a long-term prediction (scale: -2 strong deterioration, -1 deterioration, 0 no change, 1 improvement, 2 strong improvement).
206 people participated (29.1% type 2 diabetes). Participants expected moderate improvements in hypoglycemia and management distress (Box plots shown in Figure 1 for T1-DDS). Similar improvements in HFS-II scores (0.57±0,49) were seen with no differences between diabetes types.
Increasing the glucose prediction to up to 2 hours would be seen as a potential improvement regarding reductions in hypoglycemia distress and fear of hypoglycemia by both people with type 1 and type 2 diabetes.

Disclosure
D.Ehrmann: Advisory Panel; Roche Diabetes Care, mySugr, Dexcom, Inc., Speaker's Bureau; Berlin-Chemie AG, Dexcom, Inc. T.Glatzer: Employee; Roche Diabetes Care, Berlin-Chemie AG. L.Priesterroth: Speaker's Bureau; Ypsomed AG. B.Olesen: Advisory Panel; AstraZeneca, Evivamed, Berlin-Chemie AG, Speaker's Bureau; Medtronic, Medtrixx. B.Kulzer: Advisory Panel; Berlin-Chemie AG, Abbott Diabetes, Bayer Inc., Dexcom, Inc., Novo Nordisk, Insulet Corporation, embecta, Research Support; Sanofi, Roche Diabetes Care. N.Hermanns: Advisory Panel; Insulet Corporation, Research Support; Sanofi-Aventis Deutschland GmbH, Roche Diagnostics, Becton, Dickinson and Company, Speaker's Bureau; Dexcom, Inc., Berlin-Chemie AG.

Funding
Roche Diabetes Care
1823-PUB: Expanded Dataset Improves Accuracy of Wrist-Worn Noninvasive BGM Using AI
Authors: CHAUDHRY MOHAMED S. , QURESHI MUHAMMAD R.A. , BAIN STEPHEN C. , LUZIO STEPHEN D. , HANDY CONSUELO M. , LOVE BRAD , SILVA NUNO M.M. , FERREIRA LUIS M. , WAREHAM KATHIE , DUNSEATH GARETH J. , RYAN JULIA , BARLOW LUCY , CARRILLO MASSO ISAMAR C. , CRANE JOEL H. 
Published: June 2023

Background and Aims: To determine accuracy, safety and specificity of a novel non-invasive wrist-worn continuous BGM device which analyses resonance shifts in the microwave spectrum using AI. We present results from an ongoing study in patients with T1D and T2D from an expanded dataset (cohorts 1-3).
Methods: In this open, pilot, adaptive design study, subjects (N=5/cohort) attended 4 test occasions (n=2/session), each ≤7 days apart. Devices automatically collected data every 60 secs for 500 msec over 3 hours/session, with plasma glucose measured every 5 mins. A global AI model was evaluated by MARD using venous blood glucose. Interim results from every 5 completed patients informed the next device iteration with 10 iterations possible across the study.
Results: Data from each cohort was used to train a neural net algorithm to predict a new trial. Each cohort improved overall MARD prediction accuracy. All analyses followed a leave-one-trial-out methodology where the data for the omitted trial was predicted for each analysis cycle. Using the first cohort, the MARD was 21%, adding the second reduced MARD to 15% and with all 3 cohorts the predictive MARD was 13%. Improvement in the SEG plots showed data falling into low risk SEG categories.
Conclusions: We have shown that by giving the neural network an expanded dataset, the MARD decreased to nearer commercially available minimally-invasive BGMs by 38% from a predictive MARD of 21% to 13%.

Disclosure
M.S.Chaudhry: None. G.J.Dunseath: None. J.Ryan: None. L.Barlow: None. I.C.Carrillo masso: Employee; Afon Technology Ltd. J.H.Crane: None. M.R.A.Qureshi: Employee; Afon Technology Ltd. S.C.Bain: Advisory Panel; Novo Nordisk, Sanofi, Lilly, Boehringer Ingelheim Inc., AstraZeneca. S.D.Luzio: None. C.M.Handy: None. B.Love: Consultant; Afon Technologies LTD. N.M.M.Silva: None. L.M.Ferreira: None. K.Wareham: None.
1832-PUB: SECRET—Screening and Educating Adolescents for Obesity
Authors: CHAVDA VIPUL , HASNANI DHRUVI , HASNANI SHRIJI , SABOO BHARAT , ABICHANDANI VINOD , SHRIVASTAVA ABHISHEK , JHA SANTOSH , SABOO BANSHI D. 
Published: June 2023

Background: India is predicted to have over 27 million children with obesity, representing over half of the children with obesity in the region and 1 in 10 of all children globally.
Aim: To study Obesity prevalence in Adolescents and making timely interventions for healthier lifestyle adoption in urban and rural Ahmedabad.
Methodology: A team of physician, nurse, pediatrician, educator took up the task of collecting data from schools in the rural and urban areas of Ahmedabad and periphery of 50kms during months of March-May 2022 with prior consent from guardians at 4 schools. Data including height, weight, abdominal girth, neck circumference was collected along with survey on food intake, type, exercise and habits. Adolescents of age category 14-18 yrs were included. Menstrual history was taken. Obesity was defined using the National Center for Disease Control definitions. We used the NHANES proposed cutoff of ≥90th percentile of Waist Circumference for identifying central obesity and Neck Circumference ≥ 50th percentile for identifying obesity. BP measurement and acanthosis assessment was also done. We conducted seminars on healthy eating and physical activity for all kids irrespective of their health status.
Results: Total Cohort: 800, 14-18 years with a 1:1 ratio of girls:boys and same in rural and urban areas. There was higher prevalence of overweight in girls compared with boys (16%vs 12%), but the prevalence of obesity is higher in boys than girls (8%vs6%), the prevalence of underweight is slightly higher in boys than girls (21%vs9.5%). Underweight is more prevalent in rural areas vs obesity in urban areas.
Conclusion: Screening adolescents for obesity, and making timely interventions for the prevention of disorders through education and appropriate lifestyle interventions can be one step towards a healthy future of the country. There lies necessity for expanding these screening and education programs through ROOTS ie Recognition, Obesity monitoring, Obesity prevention, Treatment and System based approach.

Disclosure
V.Chavda: None. D.Hasnani: None. S.Hasnani: None. B.Saboo: None. V.Abichandani: None. A.Shrivastava: None. S.Jha: None. B.D.Saboo: None.
1836-PUB: Progression to Prediabetes or Diabetes in Women with Recent Diagnosis of Gestational Diabetes in Mexico
Authors: ALBERTO MARTINEZ-JUAREZ LUIS , GALLARDO-RINCÓN HECTOR , MONTOYA ALEJANDRA , ORTEGA-MONTIEL JANINNE , ABELARDO ÁLVAREZ-HERNÁNDEZ DIEGO , REYES-MUÑOZ ENRIQUE , MUJICA-ROSALES RICARDO , TAPIA-CONYER ROBERTO 
Published: June 2023

Gestational Diabetes Mellitus (GDM) is a major health concern for Mexican women, with a high prevalence that can lead to long-term consequences if left untreated. The mother's risk of developing diabetes in later life increases by up to 10 times if GDM is not addressed properly and some women may experience Prediabetes or new-onset Diabetes after childbirth. Metabolic reevaluation testing following pregnancy becomes essential for those who have had GDM. Nevertheless, this practice is uncommon. In this study, 1,611 pregnant women were followed during pregnancy, puerperium and at the time of metabolic reevaluation tests following pregnancy for women who have undergone GDM as part of the cohort study Cuido mi Embarazo in Mexico between April 2019 and November 2022. After the follow-up period, 161 (10%) cases of GDM were identified. At the time of the metabolic reevaluation after pregnancy, 136 (84.5%) women were classified as healthy, 21 (13.0%) as having Prediabetes, and 4 (2.5%) with new-onset Diabetes. Glucose values in the 2-h 75-g OGTT for GDM diagnosis were higher for those with impaired glycemia at the moment of metabolic reevaluation. In addition, women with altered glycemia at the time of reclassification tended to be older (32.0 ± 6.2), 52% a phenotypic sub-type of GDM associated with insulin resistance and 24.0% sub-type of GDM associated with insulin resistance and insulin secretion. Moreover, 60.0% had a family history of diabetes, 11.8% had previous pregnancies with newborns who were macrosomic, and 40.0% were obese based on their pregestational BMI category. It is of the utmost importance for all women with GDM to undertake a metabolic reevaluation test that can detect Prediabetes or new-onset Diabetes after pregnancy, so as to initiate immediate treatment and protect women from potential long-term health issues if left unattended. In addition, it becomes imperative that all women with GDM have recurrent screening throughout life due to their high risk of developing Diabetes.

Disclosure
L.Martinez-juarez: None. H.Gallardo-rincón: None. A.Montoya: None. J.Ortega-montiel: None. D.Álvarez-hernández: None. E.Reyes-muñoz: Speaker's Bureau; Exelixis. R.Mujica-rosales: None. R.Tapia-conyer: None.

Funding
Eli Lilly and Company
Anadolu Selçuklu Devletinde Siyasi Güç Mimari Mekân İlişkisi: Sadeddin Han Örneği
Authors: ÖNGE Mustafa 
Published: June 2023

Sadeddin Han, 13.yüzyıl Anadolu Selçuklu kervansarayları arasında, sıra dışı bazı mimari özellikleriyle dikkat çeken önemli bir yapıdır. 1236 – 1237 yıllarında Selçuklu devlet adamı Emir Sadeddin Köpek tarafından iki kısım halinde inşa ettirilmiş olan hanın yapım süreci, Anadolu Selçuklu Devletindeki bir iktidar değişikliği ile de eş zamanlıdır. Anadolu Selçuklu Devletinin en önemli hükümdarı Sultan Alaeddin Keykubad’ın vefatının ardından Sultan II.Gıyaseddin Keyhüsrev tahta çıkmış, onun iktidarda olduğu dönem, devlet için birçok olumsuz sonuçlanan gelişmelere sahne .olmuştur. Dönemin yazılı kaynaklarında anlatıldığı üzere; bu iktidar değişikliğinin, hanın banisi Emir Sadeddin Köpek’in önemli ölçüde siyasi güç kazanmasını da sağladığı anlaşılmaktadır.
Bu çalışmada, Sadeddin Han’da görülen sıra dışı mimari özelliklerin, yaptıranın hanın inşa sürecinde siyasi güç kazanmasıyla olası ilişkisi araştırılmıştır. Yapıdaki sıra dışı asimetrik plan formunun, geniş ve gösterişli giriş cephesi oluşturma gayretinin nedenleri, yapıdaki izler üzerinden okumalarla açıklanmaya çalışılmıştır. Bu okumaların sonucunda hanın, yapımının ikinci aşamasında bir karar değişikliği ile genişletildiği, bazı özel mekânlar eklendiği ve mevcut plan formunun bu karar değişikliğinin sonucu olarak ortaya çıktığı görülmüştür. Bu karar değişikliğinin zamanını daha hassas saptamaya yönelik olarak, yazılı kaynaklardan edinilen bilgiler, yapının inşaatı süreçlerini etkileyen mimari gereksinimler ve iklimsel etkenler de değerlendirilmiştir. Karar değişikliğinin, 1237 yılında yapının ikinci aşama inşaatı sürecinin ortalarına denk geldiği ve bu zaman diliminin Sultan Alaeddin Keykubad’ın vefatı ve oğlu Sultan II.Gıyaseddin’in tahta geçişi ile çakışma ihtimalinin olduğu ortaya konulmuştur. Yapım sürecindeki karar değişikliğinin ve bu değişiklikle ortaya çıkan, başta plan formu olmak üzere, handaki sıra dışı mimari özelliklerin, Selçuklu iktidarındaki değişim ve bu değişim sonucunda hanın banisinin kazandığı siyasi güç ile ilişkili olabileceği anlaşılmıştır.
Çalışmanın hazırlanması esnasında Anadolu Selçuklu Kervansarayları, Sadeddin Han ve Anadolu Selçuklu Devleti tarihi konuları ile ilgili yazılı kaynaklardan faydalanılmıştır. Bu kaynakların yanı sıra çalışmanın konusu olan Sadeddin Han, saha gözlemleri ve belgeleme yaparak bilgi toplamak için düzenli olarak ziyaret edilmiştir.