bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bimetallic Metal-Organic Framework Decorated 3D-electrospun Nanofibers as a Highly Efficient Sorbent for Removing Organic Dyes from Contaminated Water
Authors: El-Said Waleed Ahmed , Al-Bogami Abdullah S. , Akhdhar Abdullah , Akhtar Naeem 
Published: June 2024

Background:
Recently, bimetallic metal-organic frameworks (MOFs) have gained
significant attention for their potential in treating industrial wastewater. The rapid increase in
industrialization worldwide has resulted in the continual discharge of organic dyes in aquatic
ecosystems. These dyes disrupt aquatic ecosystems and are hazardous for human beings. Thus, there
is a considerable demand to design a framework for the removal of contaminants from wastewater.
For this purpose, this study focuses on synthesizing BM-MOF@PC and investigating its efficacy in
removing methyl orange (MO) and congo red (CR).

Methods:
A novel, low-cost, eco-friendly Zn and Co-based bimetallic MOF (BM-MOF) modified
polyaniline and cellulose acetate (PC) were synthesized based on electrospun (BM-MOF@PC)
nanofibers. The prepared BM-MOF@PC was characterized by SEM, XRD, FTIR, and N2
adsorption-desorption isotherm. The smooth formation of BM-MOF@PC nanofibers generates high
adsorption capability by exposing the maximal active site for the adsorption at the entire surface. The
adsorption capability of synthesized BM-MOF@PC nanofibers was evaluated against MO and CR
dyes from an aqueous phase.

Results:
The maximum adsorption capacity of MO and CR at the surface of BM-MOF@PC
nanofibers were 636.9 and 313.05 mg/g, respectively. Several adsorption parameters, including
initial dye concentration, contact time, temperature, the adsorbent's doses, and pH's effect on
adsorption kinetics, were investigated. The ability of BM-MOF@PC nanofibers to adsorb MO and
CR at various pHs indicated that several attraction forces, including electrostatic interaction,
hydrogen bonding, and π-π interactions, could be involved in the dye removal.

Conclusion:
The fabricated material BM-MOF@PC nanofibers have a large surface area compared
to BM-MOF, which indicates the more active sites for the adsorption of MO and CR dyes. Moreover,
the BM-MOF@PC nanofibers demonstrated robust reusability towards MO and CR adsorption
across five cycles, which suggested that our fabricated material is more stable and economically
reliable in real-time applications.
Gerak squat dan pencegahan cedera: Tinjauan literatur terkini
Authors: Awaliyyah Ulfatul Azizah , Irawan Fajar Awang , Fajaruddin Syarief 
Published: June 2024

Tujuan penelitian ini adalah untuk mengetahui kemampuan gerak fungsional gerak squat pada cedera hamstring. Metode yang digunakan dalam review research ini menggunakan metode kualitatif, dengan menggunakan pendekatan systematic literature review. Basis data yang digunakan dalam penelitian ini adalah mengacu pada Google Schoolar, PubMed, ResearchGate dan beberapa sumber data lain yang relevan dengan penelitian ini. Kata kunci dalam penelitian ini adalah analisis gerak, biomekanika, FMS, squat, cedera hamstring. Hasil dari penelitian ini menunjukkan bahwa FMS merupakan alat screening cedera yang dapat digunakan untuk menilai kemampuan gerak fungsional seseorang dengan menggunakan analisis gerak biomekanika untuk mengetahui sudut tiap gerakan dan melakukan pencegahan dari cedera hamstring. Keterbatasan dalam penelitian ini adalah sumber literasi yang masih kurang terkait dengan analisis gerak squat menggunakan biomekanika dan FMS, terkhusus untuk mengetahui tingkatan nyeri yang dialami. Harapan penelitian selanjutnya, dapat membahas terkat dengan analisis gerak squat menggunakan aspek biomekanika dan penilaian scoring FMS. Squat motion and injury prevention: A review of the current literature Abstract: This study aimed to determine the functional movement ability of squat motion in hamstring injuries. The method used in this research review is qualitative, using a systematic literature review approach. The database used in this study refers to Google Scholar, PubMed, ResearchGate, and several other data sources that are relevant to this research. The keywords in this study were motion analysis, biomechanics, FMS, squats, and hamstring injuries. The results of this study indicate that the FMS is an injury screening tool that can be used to assess a person's functional movement abilities by using biomechanical motion analysis to determine the angle of each movement and prevent hamstring injuries. The limitations of this study are the lack of literacy resources related to the analysis of squat motion using biomechanics and FMS, especially in determining the level of pain experienced. It is hoped that further research will be able to discuss the relationship between squat motion analysis using biomechanical aspects and FMS scoring assessments.
Mitigation Strategy of Islamic Financing Risk: A Case of Bank Jatim Syariah
Authors: Syaifuddin Syaifuddin , Sanmas Abu , Hedi Turmudi Asep 
Published: June 2024

This study examines the financing risk management practices of Bank Jatim Syariah, a prominent provincial-owned Islamic bank in Indonesia with total assets of IDR400 trillion, in response to the rising trend of Non-Performing Financing (NPF) in Islamic banking over the past decade. The research focuses on Bank Jatim Syariah due to its extensive service area, large customer base, and substantial financing portfolio. Employing a qualitative methodology, data was collected through interviews with the bank's financing committee and management, coupled with an analysis of pre-pandemic financing documents. The findings reveal that Bank Jatim Syariah has successfully implemented a robust NPF mitigation mechanism, including debt restructuring, debt scheduling, and both litigious and non-litigious dispute resolution strategies. These measures have effectively reduced NPF levels below 2.35%, minimized bank losses, and ensured the bank's continued ability to serve its 40 million customers in East Java. The study highlights the importance of proactive risk management strategies in maintaining the stability and growth of Islamic banking institutions.======================================================================================================== ABSTRAK – Strategi Mitigasi Risiko Pembiayaan pada Bank Jatim Syariah. Penelitian ini mengkaji praktik manajemen risiko pembiayaan Bank Jatim Syariah, salah satu bank syariah terbesar milik pemerintah daerah di Indonesia dengan total aset Rp.400 triliun. Hal ini sebagai respons terhadap tren peningkatan Non-Performing Financing (NPF) di perbankan syariah selama satu dekade terakhir. Penelitian ini difokuskan pada Bank Jatim Syariah karena wilayah layanannya yang luas, basis nasabah yang besar, dan portofolio pembiayaan yang substansial. Dengan menggunakan metode kualitatif, data dikumpulkan melalui wawancara dengan komite pembiayaan dan manajemen bank, serta analisis dokumen pembiayaan pra-pandemi. Temuan penelitian mengungkapkan bahwa Bank Jatim Syariah telah berhasil menerapkan mekanisme mitigasi NPF yang kuat, meliputi restrukturisasi utang, penjadwalan ulang utang, serta strategi penyelesaian sengketa, baik secara litigasi maupun non-litigasi. Langkah-langkah ini secara efektif telah mengurangi tingkat NPF di bawah 2,35%, meminimalkan kerugian bank, dan memastikan kemampuan bank untuk terus melayani 40 juta nasabahnya di Jawa Timur. Studi ini menekankan pentingnya strategi manajemen risiko proaktif dalam menjaga stabilitas dan pertumbuhan lembaga perbankan syariah.
O PRODUTO EDUCACIONAL COMO RECURSO MULTIMODAL: ANÁLISE DE PRODUTOS DIGITAIS VOLTADOS PARA O ENSINO DE FÍSICA
Authors: Pinto André Luiz , Saavedra Filho Nestor Cortez 
Published: June 2024

Nos programas de pós-graduação relativos à área de Ensino observamos a obrigatoriedade do desenvolvimento de produtos educacionais, tanto nos mestrados quanto nos doutorados profissionais. No desenvolvimento de tais objetos, observamos que há a possibilidade de utilização de variados tipos de mídias digitais, assim como os diversos elementos semióticos (sons, cores, imagens) relativos à esta esfera, o que contribuiria diretamente para estabelecer processos mais dialógicos de aprendizagem, fato este que exige fundamentação teórica e metodológica por parte dos desenvolvedores dos produtos, que apreenda o ethos social e informacional contemporâneo. Visando responder a tal contexto, este artigo visa indicar por meio de uma abordagem interdisciplinar, a semiótica multimodal e a pedagogia dos multiletramentos podem constituir uma metodologia de análise qualitativa de produtos educacionais. Após expor as relações entre a semiótica multimodal e a pedagogia dos multiletramentos com a pesquisa em Ensino, serão propostas categorias por meio de uma matriz de análise, a partir da qual investigaremos as características multimodais que variados produtos educacionais possuem, e que constituem eventos expressivos de letramento científico, voltado para a reflexão crítica acerca de questões sociocientíficas no ensino de física. Verificamos que os produtos educacionais analisados mobilizam diferentes estratégias relativas à organização semiótica dos conteúdos apresentados, e que dispõe aos educadores recursos que se situam além daqueles estabelecidos em sala de aula formal.
1000-P: Continuous Glucose Monitoring among Nurse Practitioners in Primary Care—Characteristics Associated with Prescribing, and Resources Needed to Support Use
Authors: HALL TRISTEN , MIRIAM DICKINSON L. , WARMAN MEREDITH K. , OSER TAMARA , OSER SEAN 
Published: June 2024

Introduction & Objective: CGM is associated with better clinical and psychosocial outcomes. While expanding, CGM is limited in primary care (PC), where most diabetes care occurs and where NPs are often crucial. We identified NP and practice factors associated with CGM-related behaviors, attitudes, and needs to understand how to support CGM use by NPs in PC.
Methods: Cross-sectional survey; multivariable linear and logistic regression. N=200 NPs in PC, recruited through the American Association of Nurse Practitioners. Outcome: CGM use. Independent variables: NP characteristics (eg, years since training, full- or part-time status) and practice setting (eg, organization type, payer mix).
Results: Most participants practiced family (67%) or internal medicine (28%). Practices included private (34%), hospital-owned (29%), and FQHC (20%). 44% had prescribed CGM. Primary outcome: Compared to private practice, hospital-owned practice NPs were more likely to have prescribed CGM (OR 2.32, 95% CI: 1.09-4.90, p&lt;.01); academic medical center NPs were less likely to have prescribed (OR .098, 95% CI: .012-.799, p&lt;.01). Secondary outcomes: Predictors of favorability toward future CGM prescribing were past CGM prescribing (coef = .73, p&lt;.0001) and time since training (1-5 years: coef = -.48, 6-15 years: coef = -.41; p&lt;.01). Predictors of confidence using CGM in diabetes care were prior CGM prescribing (T1D coef = 3.57, T2D coef = 3.49; p&lt;.0001) and having &gt;50% Medicare patients (T1D coef = 1.77; T2D coef = 2.04, p&lt;.01). NPs identified a one-time endocrine consult (62%), CGM education website (61%), and asynchronous endocrine e-consult (59%) as resources that would make them moderately/very likely to prescribe CGM.
Conclusion: Targeting academic medical centers, private practice, and NPs who serve mostly non-Medicare patients, as well as consults and education resources, could help PC NPs bring CGM to more people with diabetes.

Disclosure
T. Hall: None. L. Dickinson: None. M.K. Warman: None. T. Oser: Research Support; Abbott. Advisory Panel; Medscape. Consultant; Dexcom, Inc. Research Support; Insulet Corporation. S. Oser: Other Relationship; American Diabetes Association, Association of Diabetes Care & Education Specialists. Research Support; Abbott. Advisory Panel; Dexcom, Inc., Jaeb Center for Health Research.
1005-P: CGM for Inpatient Glycemic Management of Type 1 Diabetes—A Remote-Monitoring Program in the Non-ICU Setting
Authors: SPIERLING BAGSIC SAMANTHA R. , LOHNES SUZANNE , FORTMANN ADDIE L. , BELASCO REBEKAH , SANDOVAL HALEY , BASTIAN ALESSANDRA , TALAVERA LAURA , WINKLER DAVID J. , PHILIS-TSIMIKAS ATHENA 
Published: June 2024

Introduction & Objective: There is a paucity of data on the use of continuous glucose monitoring (CGM) in real-world inpatient settings for type 1 diabetes (T1D). Using remote monitoring, a large Southern California health system implemented CGM as standard of care (CGM as SOC) amid the COVID-19 pandemic. This analysis describes the characteristics and course of individuals with T1D who participated in CGM as SOC.
Methods: Patient characteristics were captured from the electronic health record. CGM data was extracted using Dexcom Clarity and processed using R.
Results: From 2020-2023, there were N=74 enrollments into CGM as SOC for 54 unique adults with T1D (Fig 1A). Comorbidity burden of enrolled patients was high, and mean admission HbA1c was 9.6%± 2.7. Participants were on CGM for an average of 4.6 ± 5.8 days. Average glucose levels, as assessed by CGM, were 224.9 ± 49.6 mg/dL. Average time in hyperglycemia &gt; 250 mg/dL was 36%, in extreme hyperglycemia &gt; 400 mg/dL was 5%, and in hypoglycemia &lt; 70 mg/dL was 1.3%. Hypoglycemic events (15+ min &lt;70 mg/dL) occurred in 34% of enrollments (Fig 1B). In Fig 1C, glucose readings demonstrate a reduction of extreme deviations after enrollment. CGM was acceptable by patients and RN staff.
Conclusion: This CGM as SOC protocol was feasible for inpatient T1D monitoring and management in a real-world hospital setting. Hypoglycemia and extreme hyperglycemia were infrequent.

Disclosure
S.R. Spierling Bagsic: None. S. Lohnes: Consultant; Dexcom, Inc. A.L. Fortmann: None. R. Belasco: None. H. Sandoval: None. A. Bastian: None. L. Talavera: None. D.J. Winkler: None. A. Philis-Tsimikas: Advisory Panel; Dexcom, Inc., Lilly Diabetes, Novo Nordisk, Sanofi, Medtronic, Bayer Inc.

Funding
Scripps Health and the David Winkler Endowment
1008-P: Real-World Experience with Bigfoot Unity—A Twelve-Month Retrospective Analysis
Authors: TILLMAN JOHN , OLSON BYRON P. , MALONE JAMES K. 
Published: June 2024

Background: The Bigfoot Unity® Diabetes Management System (System) is a smart pen cap system incorporating data from the Abbott FreeStyle Libre 2 Sensor, real-time alerts, and clinician-directed dose recommendations. The objective was to analyze real world 12-month data for a large MDI cohort using the System.
Methods: A retrospective analysis was performed using a prespecified analysis plan and de-identified data for those using the System ≥50% of time in the 90 days prior to the 12 month period with ≥45 CGM or BGM glucose readings and a baseline A1C, obtained from clinic medical records, was required (N=303). Using these same criteria, a safety cohort also included those using the System in the 90 days prior to 3 or 6 months (N=402).
Results: The mean age was 63.7 years and 86.5% had T2D. Mean baseline A1C was 8.8±1.8%. Mean GMI at the 12-month endpoint was 7.5±0.9%. Using post-market surveillance data of medical device reports to FDA, 5 severe hypoglycemia events, 1 serious hypoglycemia, 1 DKA and 1 other severe hyperglycemic event occurred and were not related to System malfunction; 4 malfunctions occurred without a reported adverse event.
Conclusions: For this 12-month cohort, primarily adults with insulin-requiring T2D using MDI with suboptimal glycemic control, System use for 12 months results in glycemic improvement. Considering the older age, results demonstrate close progression near established glycemic targets.

Disclosure
J. Tillman: Employee; Abbott. B.P. Olson: Employee; Abbott, Bigfoot Biomedical, Inc. J.K. Malone: Employee; Bigfoot Biomedical, Inc., Abbott.

Funding
Abbott
1012-P: Deep Sleep Interaction with Blood Glucose Levels in People Using an Integrated Digital Health Platform for Diabetes Management
Authors: HERSHCOVITZ YIFAT , BREUER ASHER INBAR , MANEJWALA OMAR 
Published: June 2024

Sleep durations are positively associated with impaired outcomes in obesity and type 2 diabetes. Although precise mechanisms are unknown, sleep restriction could affect endogenous processes in glucose metabolism and appetite. Digital health platforms for chronic condition management are aiming to generate behavioral changes that improve patients’ clinical outcomes. Evidence regarding the feasibility of using digital health platforms to measure sleep duration and assess its relationship to ideal diabetes management is lacking. The purpose of this study is to investigate the association between weekly aggregated blood glucose (BG) measurements and deep sleep measured on a single digital health platform. A retrospective data analysis included people with T2D and prediabetes who used iPhone and integrated data into Dario digital health platform during Dec 2022-Dec 2023. Weekly aggregations of average BG and time of deep sleep were calculated. A mixed model analysis was used to determine whether the weekly avg BG can be predicted by weekly avg duration of deep sleep over time.
A cohort of 417 users with type 2 and prediabetes was evaluated (Age 60.4±12.3; female 50.3%). A significant difference between weekly avg BG levels in different durations of weekly avg deep sleep was demonstrated by the model (B=-.00, CI 95% -0.00- -0.00, p=.029). Moreover, simple slope analysis showed that users with increased weekly avg deep sleep duration have significantly stronger reductions in avg BG (B=-.26, CI 95% -0.50- -0.03, p=.03) compared to users with low weekly avg deep sleep duration (B=-.13, CI 95% -0.37- 0.12, p=.31).
A digital health platform that aims to help users adjust deep sleep and manage blood glucose levels can be a powerful tool in promoting overall health and well-being. Sleep quality assessment connected with blood glucose monitoring on one single platform may provide actionable insights and help users understand the impact of sleep on their metabolic health.

Disclosure
Y. Hershcovitz: Employee; DarioHealth Corp. I. Breuer Asher: None. O. Manejwala: Employee; DarioHealth Corp. Stock/Shareholder; DarioHealth Corp.
1013-P: Evaluation of a Continuous Glucose Monitor in Patients with Diabetes on Hemodialysis
Authors: MODI MIHIR , BAGGA MONICA 
Published: June 2024

Diabetes management is critical for patients with end-stage renal disease (ESRD). Patients with ESRD experience impaired glucose metabolism, necessitating continuous monitoring. Continuous Glucose Monitors (CGMs) are an effective instrument to monitor glucose levels. The Flash Glucose Monitor (FGM), a CGM variation, displays live, on-demand glucose data; however, the accuracy of FGMs on patients with diabetes on hemodialysis in Canada is not well supported. This study investigates the accuracy of the Freestyle Libre 2, an FGM, in patients with diabetes on hemodialysis at the Windsor Regional Hospital in Windsor, Ontario. A prospective cohort study was performed. Participants ≥ 18 years of age with type 1 or 2 diabetes undergoing hemodialysis were invited to participate. Over 14 days, blood glucose was collected using a capillary blood glucose monitor (CBGM) and FGM four times daily. Accuracy of FGM was assessed via Mean Absolute Relative Difference (MARD), while a Clarke Error Grid correlated paired results between FGM and CBGM. Among 398 paired readings from 8 participants, mean age was 56.8 +/- 4.9 years, 62.5% were male, mean A1C was 7.7 +/- 2.2%, and 25% and 75% had type 1 and type 2 diabetes, respectively. The MARD between the FGM and CBGM was 10.5 ± 8.9%, with 83% of FGM values within ± 1.5 mmol/L of CBGM values. Clarke Error Grid analysis showed 94.5%, 5.5%, 0%, and 0% of correlated pairs in zone A, zone B, zone C, zone D, and zone E respectively, indicating 100% of values within the clinically safe range. Results support the clinical use of Freestyle Libre 2 in patients with diabetes on hemodialysis. With accurate monitoring using FGMs, physicians can better manage hypoglycemia and hyperglycemia associated with hemodialysis, thereby improving patient outcomes. Future work should aim to increase sample size, compare sensor accuracy in patients with diabetes without hemodialysis, and those on peritoneal dialysis.

Disclosure
M. Modi: None. M. Bagga: None.

Funding
WE-Spark Igniting Discovery Grants Program (Tayfour-Emara Research & Education Fund); Schulich-UWindsor Opportunities for Research Excellence Program (SWORP); No reference number indicated.
1022-P: Model for Predicting the Need for Islet Transplantation in Patients with Type 1 Diabetes
Authors: ORR CHRIS , HACKER-STRATTON JEANNETTE , TRUONG JENNIFER L. , MIMILA-OROZCO NAOMI A. , FERRO NANCY , TRUEBLOOD JOSEPHINE , OMORI KEIKO , QI MEIRIGENG , FOROUHAR ELENA , EL-SHAHAWY MOHAMED A. , KANDEEL FOUAD R. 
Published: June 2024

Introduction: Hirsch, et al1 used continuous glucose monitoring (CGM) parameters to accurately calculate the personal glycemic state (PGS) of patients with diabetes. We modified this model to see if it can predict the need for islet transplantation (IT) for patients with type 1 diabetes (T1D).
Method: Weighting the glycemic control components used in Hirsch, et al model1, as well as confining the percent time in range to 70-140 mg/dl, result in a PGS score of 15 (IT suitability score; PGSITSS) below which glycemic control is consistent with nondiabetics, and above which it identified T1D patients with frequent episodes of hypoglycemia and hypoglycemia unawareness (current indication for IT need).
Results: Applying this model to data of 31 subjects with T1D transplanted based on the traditional criteria, successfully predicted need for first IT in 16/17 (94%) and subsequent IT in 12/15 (80%), as well as insufficient glycemic control post final IT in 8 subjects consistent with other metabolic assessments. In contrast, the original model with the same cutoff identified only 12 (71%), 3 (20%) and 3 subjects, respectively (Fig 1). Overall results showed concordance between the two models where PGS improved significantly from pre to post IT.
Conclusion: PGSITSS can accurately estimate need for IT and could replace the traditional criteria for patient eligibility.
1. Hirsch IB, et al. Diabetes Technol Ther. 2017;19(S3): S38-S48.

Disclosure
C. Orr: None. J. Hacker-Stratton: None. J.L. Truong: None. N.A. Mimila-Orozco: None. N. Ferro: None. J. Trueblood: None. K. Omori: None. M. Qi: None. E. Forouhar: None. M.A. El-Shahawy: None. F.R. Kandeel: Advisory Panel; Vertex Pharmaceuticals Incorporated.

Funding
National Institutes of Health (U24DK098085)