bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization and Extraction of Bioactive Compounds in Ethanolic
Extract of Moringa concanensis, Nimmo Leaf, Using Microwave-assisted
and Soxhlet Techniques
Authors: Singh Amerendra , Singh Santosh Kumar , Upadhyay Prabhat Kumar , Mishra Jai Narayan , Vishwakarma Vishal Kumar 
Published: May 2023

Background:
The extraction of Moringa concanensis (Nimmo leaf) was done in ethanol
using Soxhlet and microwave-assisted extraction (MAE) techniques to obtain bioactive compounds.

Methods:
The standard techniques were used to carry out phytochemical analysis of ethanolic extract.
The analysis confirmed the presence of flavonoids, phenols, steroids, alkaloids, terpenoids, glycosides,
tannins, and saponins, and also the absence of anthraquinones. Moreover, the extract was evaluated for
antioxidant activities using DPPH and ABTS assays. The IC50 value of the extract was also determined.

Results:
A clear correlation between the total phenolic content, total flavonoid content, and antioxidant
activity of the leaf extracts was obtained.

Conclusion:
This study suggests that a high amount of phenolic compounds could be obtained from
Moringa concanensis (Nimmo leaf) by using the microwave-assisted extraction technique, which may
be responsible for its antioxidant activity.
A Comparative Study of Various Digital Image Watermarking
Techniques: Specific to Hybrid Watermarking
Authors: Jaiswal Sushma , Pandey Manoj Kumar 
Published: May 2023

Abstract:
Digital security is one of the important aspects of today’s era. Digital content is being
grown every day on the internet; therefore, it is essential to guard the copyright of digital content
using various techniques. Watermarking has emerged as an important field of study aiming at
securing digital content and copyright protection. None of the watermarking techniques can provide
well robustness against all the attacks, and algorithms are designed based on required specifications,
which means there is a lot of opportunity in this field. Image watermarking is a vast area of
research, starting from spatial-based methods to deep learning-based methods, and it has recently
gained a lot of popularity due to the involvement of deep learning technology for ensuring the security
of digital content. This study aims at exploring important highlights from spatial to deep learning
methods of watermarking, which will be helpful for the researchers. In order to accomplish this
study, the standard research papers of the last ten years have been obtained from various databases
and reviewed to answer the five research questions. Open issues and challenges are identified and
listed after reviewing various kinds of literature. Our study reveals that hybrid watermarking performs
better in terms of balancing the trade-off between imperceptibility and robustness. Current
research trends and future direction is also discussed.
The Promising Success of Project Extension for Community Healthcare Outcomes (ECHO) Diabetes: Case Series
Authors: Figg Lauren , Addala Ananta , Jain Ishaan , Anez Claudia , Midney Paul , DeChirico Corin , Symanski Colleen , Fitzgerald Brian C , Colbert Kristi , Raymer Terry , Stockton-Joreteg Candy , Murphy Elizabeth , Collins Leah , Bernstein Cyd , Hechavarria Melanie , Sheehan Eleni P , Bernier Angelina , Westen Sarah C , Hood Korey K , Zaharieva Dessi P , Basina Marina , Cuttriss Nicolas , Filipp Stephanie L , Gurka Matthew J , Walker Ashby F , Maahs David M , Haller Michael J , Lal Rayhan A 
Published: May 2023

Background
In the United States, there are over 37 million people with diabetes but only 8000 endocrinologists. Therefore, many people with diabetes receive care exclusively from primary care providers (PCPs). To democratize knowledge regarding insulin-requiring diabetes through tele-education, Stanford University and the University of Florida developed Project Extension for Community Healthcare Outcomes (ECHO) Diabetes.

Objective
ECHO Diabetes uses a Hub and Spoke model connecting specialists (the “Hub”) with PCPs (the “Spokes”). One-hour, weekly sessions include Hub diabetes didactic presentations and Spoke deidentified case presentations. Lessons learned during these sessions target provider knowledge and confidence surrounding diabetes management and patient care.

Methods
Spokes were asked to provide short descriptions of people with diabetes whose diabetes management improved directly or indirectly from their providers’ participation or their involvement with a Diabetes Support Coach (DSC). We provide a case series to describe individuals and outcomes. Because this study was not a randomized controlled trial and was a prospective observation of patients with the intervention delivered to providers, the trial is not registered in a public trials registry.

Results
A case series of 11 people with diabetes was compiled from 10 PCPs and 1 DSC from California and Florida between 2021 and 2022. The principal impact of ECHO Diabetes is the education amplified from PCPs and DSCs to people with diabetes. In all cases, people with diabetes reported increased engagement and improved diabetes management. Several cases reflected increased access to diabetes technology, improvement in glycemic outcomes, and positive trends in mental health measures.

Conclusions
This case series elucidates the potential value of the ECHO Diabetes program to people with diabetes who receive their diabetes care from PCPs. Those matched with a DSC saw clinically significant improvements in hemoglobin A1c and mental health outcomes.
EVALUASI PERESEPAN ELEKTRONIK DI DEPARTEMEN ILMU KESEHATAN ANAK
Authors: Dyah Anggraini  , Andreasta Meliala  , Iwan Dwiprahasto  
Published: May 2023

Background:
Hospitals can prevent errors in medical actions or pharmaceutical services to patients called medication errors. One of the incidences of medication errors that are still high in Indonesia is the prescribing phase. So, currently, many hospitals have replaced manual prescription writing with electronic prescribing systems, including at Dr. Hospital. Cipto Mangunkusumo (RSCM).
However, prescribing errors are still often found, especially in pediatric patients’ prescriptions.
Objective: To evaluate the implementation of electronic prescribing and measure the results of personnel interventions on electronic prescribing in pediatric patients.
Methods: Experimental with a quasi-experimental design, the one
group pretest-posttest design. The research was conducted from
December 2019 to January 2020 in pediatrics. The research subjects were 100 doctors participating in the Specialist Medical Education Program (PPDS). Training subjects carried out the intervention to write electronic prescriptions and provide feedback in the form of personal letters. Reassessment of the incidence of prescribing errors was carried out after four weeks.
Results: The incidence of prescribing errors decreased after the intervention. (p = 0.05). The most types of prescription errors are
the wrong dosage, strength, frequency. Prescribing errors in perinatology ward, pediatric inpatient ward and polyclinics decreased after
intervention, while prescribing errors in the emergency room remained. There is a significant relationship between the provision of intervention with the level of education (p = 0.001). PPDS mid-level doctors make more prescribing errors in almost all types of errors
and workplaces than junior and senior PPDS doctors. The results of the calculation of prescribing error pre and post intervention shows that giving an intervention can reduce the risk of prescription errors by up to 37%.
Conclusion: Personnel intervention in education and providing
feedback plays a role in reducing the incidence of prescribing errors. Education and providing feedback should be done regularly. In addition, it is necessary to add an electronic prescription support system to support the reduction of prescribing errors.
MANAJEMEN PERSEDIAAN OBAT DENGAN PENDEKATAN PERIODIC REVIEW SYSTEM
Authors: Rukmono Siswishanto  , Erna Kristin  , Irwan Endrayanto Aluicius  
Published: May 2023

Background: Continuity of drug availability in hospitals with no excessive supplies is still a problem. The range of inaccuracies in the plan for drug needs can be wasteful in procurement costs and affect the continuity of health services. Hospitals need to improve historical processing data on drug absorption to optimize drug demand planning.
Objective: The research aimed to simulates optimizing the planning and control of drug inventory using the periodic review system.
Methods: Case study research to plan drug needs, using daily drug uptake data longitudinally (2014-2017). The obtained formulas are used to perform simulations by comparing drug supplies based on existing methods with optimization methods on accurate uptake data in 2018. Interviews In-depth research is carried out on informants selected based on the relationship with system. Data analysis was performed using the t-test statistical test and qualitative data were analyzed using open coding.
Results: An assessment of 10 types of drugs, each of 5 drugs has carried out in the fast moving and slow-moving groups. Eight out of the ten drugs reviewed, there were significant differences in drug supply between the existing method and the periodic review system method. The price of drug supplies during 2018 is Rp.13,315,337,556, while the existing method is Rp. 16,481,465,208. There were 25 cases of drug shortages worth Rp. 655,282,174 in the periodic review system method that is lower than the existing method, which is 31 instances of drug shortages worth Rp.756,743,295.
Conclusion: The periodic review system method has advantages compared to existing methods in terms of fewer inventories and cost needs, and the occurrence of fewer drugs shortages and the budget to finance the drug shortages rates. Thus periodic review system method has the potential to improve the planning of drug needs in hospitals.
Walden Conservatory of Music: A Case of Nonprofit Financial Analysis and Strategic Planning
Authors: Feng Nancy Chun , Neely Daniel G. 
Published: May 2023

ABSTRACT
Charitable nonprofit organizations are entrusted with financial resources to ensure they are able to fulfill their mission. It is imperative that these resources are well managed and that the nonprofit organization maintains a sound financial condition. It is also important for nonprofits to consider the financial aspect of their strategic plan to ensure there will be enough financial resources to deliver on future programmatic plans. This case requires students to do a thorough assessment of the financial condition of a nonprofit organization and to consider how each of their primary programs fit both with their mission as well as with their financial resources.
Innovative and Novel Research Datasets Related to Cybersecurity Risk Disclosures: A Research Note
Authors: Calderon Thomas G. , Gao Lei 
Published: May 2023

ABSTRACT
This research note describes an innovative dataset that was developed and used by Gao, Calderon, and Tang (2020) and Calderon and Gao (2021) to examine cybersecurity risk disclosures. Our innovative dataset and contemporary text analytics methodology allowed us to develop interesting insights and identify various patterns in the disclosure of cybersecurity risks that publicly traded companies face. We believe that researchers can learn from our data and methodology, and contribute further to the literature on corporate disclosure in general and cybersecurity risks in particular.
Lender Capital Management and Financial Covenant Strictness
Authors: Demerjian Peter R. , Owens Edward L. , Sokolowski Matias 
Published: May 2023

ABSTRACT
We provide evidence that lenders with lower regulatory capital issue loans with lower financial covenant strictness, consistent with such lenders viewing borrower covenant violations as costlier. This is because a borrower covenant violation may lead the lender to downgrade the loan, which triggers accounting that further reduces regulatory capital. Because of regulatory scrutiny, this is true even if the lender waives the violation. We find that this association is concentrated in performance covenants rather than capital covenants. We also find that lenders with relatively low capital issue loans with lower amounts and shorter maturities, consistent with such lenders replacing covenant protection with stricter loan terms on other dimensions. Finally, we find that this form of lender capital management extends to loan syndicate participant lenders, in that participants with relatively low capital adequacy take smaller loan shares when the lead arranger sets high covenant strictness.
Data Availability: Data are available from the public sources cited in the text.
JEL Classifications: G21; M40; M41.
Development Of Android-Based Electronic Module Using Sigil Application As A Learning Media
Authors: Sudarni Ajeng Rahma 
Published: May 2023

Abstract— This study aims to develop digital simulation learning modules and produce valid, practical and effective digital simulation learning modules. This research is a development research. The model chosen in this study is a 4-D model: define, design, develop, and disseminate. The subject was 10th grade students of the Genus Health Vocational School. The type of data used is primary data. The instruments used to collect data in this study were instruments of validity, practicality, and effectiveness. The research data were analyzed by descriptive statistics. Data were obtained through questionnaires from validators and student response questionnaires as well as teacher response questionnaires to the developed e-module. The results of the validity test analysis to media experts obtained a validation value of 0.84, so the android-based learning e-module was categorized as valid. Furthermore, the validation results from material experts obtained a validation value of 0.85, meaning that the material in the Android-based learning e-module is categorized as valid. The results of the practicality of Android-based E-Modules for teachers obtained an average of 82.3 with very practical categories, and students obtained an average of 85 with very practical categories. The results of classical completeness scores obtained that 20 students completed with a percentage of 93.67%, it was concluded that the android-based e-module media was said to be effective from a review of students' classical scores. The effectiveness of the product on learning outcomes based on classical completeness which reached 93.67% and the gain score value of 0.32 in the medium category, it can be concluded that the android-based learning e-module is declared effective.
An ITAE Optimal Sliding Mode Controller for Systems with Control Signal and Velocity Limitations
Authors: Pietrala Mateusz , Leśniewski Piotr , Bartoszewicz Andrzej 
Published: May 2023

Abstract
In this paper, a sliding mode controller, which can be applied for second-order systems, is designed. Robustness to external disturbances, finite regulation time and a good system’s behaviour are required for a sliding mode controller. In order to achieve the first two of these three goals, a non-linear, time-varying switching curve is introduced. The representative point (state vector) belongs to this line from the very beginning of the control process, which results in elimination of the reaching phase. The stable sliding motion along the switching curve is provided. Natural limitations such as control signal and system’s velocity constraints will be taken into account. In order to satisfy them, the sliding line parameters will be properly selected. However, a good dynamical behaviour of the system has to be provided. In order to achieve that, the integral time absolute error (ITAE) quality index will be introduced and minimised. The simulation example will verify theoretical considerations.
Estimation of the Regenerative Braking Process Efficiency in Electric Vehicles
Authors: Kropiwnicki Jacek , Gawłas Tomasz 
Published: May 2023

Abstract
In electric and hybrid vehicles, it is possible to recover energy from the braking process and reuse it to drive the vehicle using the batteries installed on-board. In the conditions of city traffic, the energy dissipated in the braking process constitutes a very large share of the total resistance to vehicle motion. Efficient use of the energy from the braking process enables a significant reduction of fuel and electricity consumption for hybrid and electric vehicles, respectively. This document presents an original method used to estimate the efficiency of the regenerative braking process for real traffic conditions. In the method, the potential amount of energy available in the braking process was determined on the basis of recorded real traffic conditions of the analysed vehicle. The balance of energy entering and leaving the battery was determined using the on-board electric energy flow recorder. Based on the adopted model of the drive system, the efficiency of the regenerative braking process was determined. The paper presents the results of road tests of three electric vehicles, operated in the same traffic conditions, for whom the regenerative braking efficiency was determined in accordance with the proposed model. During the identification of the operating conditions of the vehicles, a global positioning system (GPS) measuring system supported by the original method of phenomenological signal correction was used to reduce the error of the measured vehicle’s altitude. In the paper, the efficiency of the recuperation process was defined as the ratio of the accumulated energy to the energy available from the braking process and determined for the registered route of the tested vehicle. The obtained results allowed to determine the efficiency of the recuperation process for real traffic conditions. They show that the recuperation system efficiency achieves relatively low values for vehicle No. 1, just 21%, while the highest value was achieved for vehicle No. 3, 77%. Distribution of the results can be directly related to the power of electric motors and battery capacities of the analysed vehicles.
How to Ensure the Development of SMEs in Post-Pandemic Economy? A Start-ups Case Study
Authors: Jasińska-Biliczak Anna 
Published: May 2023

Abstract
After the humanitarian crisis, caused by COVID-19, enterprises have to face a post-pandemic economic crisis. As small and medium-sized enterprises (SMEs) constitute 99% of EU enterprises and create every third workplace (European Parliament, 2021), it is important to monitor their situation not only to survive but also to develop and build strong economies in the future. The aim of this research is to investigate development trends and opportunities in (SMEs’) development, with a special focus on start-ups (STPS) as representative of these. Also, special attention is paid to the concept of sustainable development (SD), which fulfils the UN 2030 Agenda for Sustainable Development Goals (SDGs). The proposed methodology consists of three stages: desk research, in-depth interviews, and primary data analysis, and uses a qualitative method. The article describes the findings of recent Polish studies undertaken to verify and augment earlier pilot research. The novelty of the article is the examination of the dependence between the STPS survival rate and the SD as a measure of SDGs’ fulfilment. The limitation may be the specificity of the pandemic, as well as the study of post-pandemic trends that shows a strictly binding need to have a stable strategy for establishing, managing and developing enterprises and increasing their survival rates.
Surface Water Contamination by Mining Wastes: Case of the Sidi Kambar Region (Skikda North-East Algeria)
Authors: Fekrache Fadila , Boudeffa Khaled 
Published: May 2023

Abstract
The objective of this work is to assess the contamination of the Essouk stream, under acid drainage from the Sidi Kambar mine (southwest of Skikda, Algeria), which has been widely exploited during the previous decades. The methodology was conducted to control the current state of water chemistry, its evolution in space and time according to the variation of water physicochemical parameters and the content of trace metals (Pb, Fe, and Zn). In general, Essouk stream are highly sulphated (reached 598.56 mg/L) and have an elevated salinity, resulting in a high conductivity (1925 µS/cm) and presented a low pH (3.01). In addition, Fe, Pb and Zn contents reached 5.17 mg/L, 2.05 mg/L and 4.05 mg/L, respectively. Such results were linked to the bedrock of Sidi Kambar that is composed of galena, pyrite and sphalerite.
Investigation of the Process of Separation of Fibers From Seeds During Roll Ginning
Authors: Sailov Rahib Aqaqul 
Published: May 2023

Abstract
In the initial position in the process of roll ginning, the seed is drawn to the slot of the contact gap of the knife-drum due to the tension of the fibers. Subsequently, the seed is struck with a certain impulse. The separation of the fibers from the seed after the impact of the beater occurs sequentially, not simultaneously.
As a result of theoretical and experimental studies, the optimum frequency of the shock pulse on the seed (f = 18-20) was found to be the most technologically successful in terms of providing the best quality indicators of seeds and fibers. Beating in the resonance mode allows to reduce the magnitude of the shock impulse on the seed, leading to a reduction in the degree of damage to the seeds. At this moment, the seeds at the end of the strand move only under the action of an elastic restoring force. The active part of the fiber bundle section in a dynamic process can be as little as 0.001 or less.
The average value of the compliance coefficient for the raw cotton variety BA-440 was determined experimentally. This allowed to determine the stiffness coefficient of the volatiles indirectly. According to the parameters obtained, the dynamic state of the system practically falls into the region of parametric resonance, where the motion is unstable. This means that the damaged seeds at the end of the strand enlarge significantly after the impact of the beater, causing the seeds to separate from the fibers.
Does Central Bank Transparency Deter the Exchange Rate Volatility? New Evidence from Asian Emerging Markets
Authors: Aftab Muhammad , Mehmood Ahsan 
Published: May 2023

Abstract
Exchange rate volatility has emerged as a significant challenge for Asian emerging markets since the adoption of the liberalization process. This study examines the influence of central bank transparency on exchange rate volatility using a sample of ten important Asian emerging markets. The study uses a fixed effect regression model covering the Asian financial crisis, global financial crisis, banking crisis, and taper tantrum episodes. Results show that an increase in central bank transparency has a stabilizing effect on exchange rate volatility, and this effect remains even after controlling for various internal and external factors. The uncertainty of US monetary policy increases exchange rate volatility, while US economic policy uncertainty contributes only during the global financial crisis. Interestingly, central bank transparency buffers the effects of the global financial crisis, indicating that it plays a facilitating role in maintaining financial stability. Studies that examine the role of central bank transparency in curbing exchange rate volatility, which is a crucial issue in these markets, are rare in emerging markets’ context. This research offers interesting findings by using a variety of robustness checks.