bluuebunny/crossref_metadata_2025 huggingface dataset:
TINGKAT KEPERCAYAAN DONATUR TERHADAP PENDISTRIBUSIAN DANA ZIS DENGAN PRINSIP KEADILAN DAN TRANSPARANSI DI LAZISNU DORO KABUPATEN PEKALONGAN
Authors: Rihadatul Aisy Adibah Husnaa
Published: August 2024

The Amil Zakat, Infaq and Sedekah institutions have the task of managing ZIS funds, one of which is distribution activities. In distributing zakat, infaq and alms funds, it should be managed with professional, trustworthy, fair and transparent management. This research aims to determine the level of donor trust in the distribution of ZIS funds with the principles of justice and transparency owned by the Amil Zakat Institution. This research uses qualitative methods by utilizing data in the field. The results of this research show that the Amil Zakat, Infaq and Alms Institution in Doro District has implemented the principles of justice and transparency in distributing its zakat, infaq and alms funds. Distribution is carried out using several predetermined procedures, such as registering, surveying and selecting mustahik who meet the requirements. The level of donor trust in Lazisnu Doro is influenced by several factors including openness, trustworthiness, competence and loyalty possessed by Lazisnu Doro. This research results that Lazisnu Doro's justice and transparency are part of a form of social responsibility, so this is an absolute thing to strive for and become a target for Lazisnu Doro. Transparency of financial reports and activity reports has also been implemented well. Financial reports will be provided periodically every month or every semester to interested parties, while activity reports will be provided via Lazisnu Doro social media.Keywords : Distribution, Fairness, Transparancy, Trust
EFEKTIVITAS PEMASARAN DIGITAL DALAM MENINGKATKAN JUMLAH JAMAAH UMRAH HAQEEM TRAVEL
Authors: Zaman Ahmad Munawaru , Aulia Lulu Rahma
Published: August 2024

Kemajuan teknologi dan tingginya penggunaan media digital memberikan peluang besar bagi bisnis untuk melakukan pemasaran secara efektif. Hal ini juga berlaku bagi biro jasa umroh, seperti Haqeem Travel yang memanfaatkan pemasaran digital untuk menarik minat masyarakat Muslim Indonesia dalam beribadah umroh. Penelitian ini bertujuan untuk menjelaskan penggunaan dan efektivitas pemasaran digital oleh Haqeem Travel dalam menjual produk umrohnya dan meningkatkan jumlah jamaah. Penelitian ini menggunakan metode kualitatif, dengan mengumpulkan data deskriptif melalui wawancara dengan tim pemasaran Haqeem Travel serta analisis literatur terkait. Hasil penelitian menunjukkan bahwa pemasaran digital yang diterapkan Haqeem Travel efektif dalam meningkatkan jumlah jamaah. Namun, sebagian besar jamaah yang mendaftar umroh di Haqeem Travel berasal dari pemasaran melalui kemitraan, bukan dari pemasaran digital.Kata Kunci : Efektivitas, Pemasaran Digital, Produk Umrah
Optimalisasi Manajemen Dakwah Digital Perspektif Maqashid Al-Qur’an
Authors: Derysmono Derysmono
Published: August 2024

This research focuses on optimizing the management of dakwah based ondigital media from the perspective of the Maqashid al-Qur'an. This ismotivated by the fact that recitations are based on courage or digital da'wah,but in fact the results and targets are different. So one of the efforts is tooptimize the management of da'wah. This study uses qualitative methods andlibrary research (library research). The conclusion of this paper is that in aneffort to optimize da'wah management which includes POAC: Planning,Organizing, Actuating, and Controlling (supervision/evaluation) when  viewed from the perspective of the Al-Qur'an perspective, the results can provide the impact of individual benefit (al-fardiy), social (al-jama'i), and the civilization of the people (al-'umraniy) both aspects of Maqashid A mah and Khashah. Dalam penelitian ini terfokus kepada optimalisasi manajemen dakwahberbasis media digital pespektif Maqashid al-Qur’an. Hal inidilatangbelakangi bahwa meningkatnya pengajian yang berbasis daring ataudakwah digital, namun demikin pada nyatanya antara hasil dan targetberbeda. Maka salah satu upayanya adalah dengan optimaliasai manajemendakwahnya. Penelitian ini menggunakan Metode kualitatif dan penelitiankepustakaan (library research). Kesimpulan tulisan ini bahwasannya dalamupaya optimalisasi manajemen dakwah yang meliputi POAC yaitu Planning(perencanaan), Organizing (pengorganisasian), Actuating (penggerakan), danControlling (pengawasan/ evaluasi) jika dilihat dari perspektif maqashid AlQur’an yaitu hasilnya dapat memberikan dampak kepada kemaslahatan individu (al-fardiy), sosial (al-jam’iy), maupun peradaban umat (al-‘umraniy) baik aspek Maqashid A mah dan Khashah.
WAKAF PRODUKTIF SEBAGAI INSTRUMEN PENGEMBANGAN INDUSTRI MAKANAN HALAL DI INDONESIA
Authors: Saputra Ardiansyah
Published: August 2024

The purpose of this research is to find out how productive waqf is as an instrument for developing halal food and to find out the supporting and inhibiting factors. The method used in this research is descriptive qualitative with a literature review of the relevant theories. The data used is secondary data obtained from sources either journals or statistical data taken from the Central Statistics Agency, the Ministry of Cooperatives and SMEs, and Thomson Reuters.The results of the study explain that the halal food industry will get support from two sides, the first is from the financing provided to MSMEs that have not been certified halal and from the distribution of maukuf funds alaih the results from investments channeled from waqf funds. If the scheme is implemented massively and on a large scale, it will grow the number of MSMEs that have halal certification, which in aggregate will also grow the number of the halal food industry in Indonesia. Keywords: Waqf; Productive; Halal Food
Eficacia de los programas de telerrehabilitación para pacientes operados de fractura de cadera. Revisión sistemática
Authors: Sánchez-Lozano Jesús , Martínez-Pizarro Sandra
Published: August 2024

Introducción: La fractura de cadera es la causa más común de hospitalización en personas de edad avanzada, frágiles, debido a la osteoporosis y las caídas recurrentes. El 18% de las mujeres y el 6% de los hombres sufren este tipo de fractura. Se espera que el número global de estas fracturas aumente a 4,5 millones en 2050. La cirugía sigue siendo el tratamiento de elección predominante, y las guías de práctica clínica recomiendan iniciar la rehabilitación de forma precoz. Sin embargo, en muchas ocasiones, los pacientes tienen problemas para asistir a las clínicas de fisioterapia.
Objetivo: Evaluar la eficacia de los programas de telerrehabilitación para pacientes operados de fractura de cadera.
Materiales y Métodos: Se realizó una revisión siguiendo la normativa PRISMA. Se consultaron las bases de datos de PubMed, CINAHL, PsycINFO, SPORTDiscus, Academic Search Complete, LILACS, IBECS, CENTRAL, SciELO y WOS. Se utilizó la herramienta Cochrane para valorar el riesgo de sesgo.
Resultados: Se obtuvieron 59 artículos. Tras aplicar los criterios de inclusión, quedaron 5 ensayos clínicos. La muestra total estaba formada por 282 pacientes operados de fractura de cadera. La duración total de la telerrehabilitación osciló entre 3 y 12 semanas. En todos los estudios, se comunicó la seguridad y la buena tolerabilidad.
Conclusiones: La telerrehabilitación es eficaz en pacientes operados de fractura de cadera. Este método mejora la movilidad, la calidad de vida, el nivel de miedo a caerse, la ansiedad, la depresión, y favorece la recuperación del nivel de estado físico anterior a la fractura.
La importancia de la certificación en la formación en Ortopedia y Traumatología
Authors: Sartor Federico Daniel
Published: August 2024

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Characteristics and Outcomes of Home-Ventilated Children Undergoing Noncardiac Surgery
Authors: Liu Jia , Kordun Anna , Staffa Steven J. , Madoff Lauren , Graham Robert J.
Published: August 2024

OBJECTIVES

To determine the frequency of children with chronic respiratory failure (CRF) and home ventilator dependence undergoing surgery at a tertiary children’s hospital, and to describe periprocedural characteristics and outcomes.

METHODS

We conducted a retrospective cohort study of patients with CRF and home ventilator dependence who underwent noncardiac surgery from January 1, 2013, to December 31, 2019. Descriptive statistics were used to report patient and procedural characteristics. Univariable and multivariable analyses were used to assess for factors associated with 30-day readmission.

RESULTS

We identified 416 patients who underwent 1623 procedures. Fifty-one percent of patients used transtracheal mechanical ventilation (trach/vent) support at the time of surgery; this cohort was younger (median age 5.5 vs 10.8 years) and more complex according to American Society of Anesthesiologists status compared with bilevel positive airway pressure-dependent patients. Postoperatively, compared with bilevel positive airway pressure-dependent patients, trach/vent patients were more likely to be admitted to the ICU with longer ICU length of stay (median 5 vs 2 days). Overall 30-day readmission rate was 12% (n = 193). Presence of chronic lung disease (adjusted odds ratio 1.65, 95% confidence interval 1.01–1.69) and trach/vent dependence (adjusted odds ratio 1.65, 95% confidence interval 1.02–2.67) were independently associated with increased odds for readmission.

CONCLUSIONS

Children with CRF use anesthetic and surgical services frequently and repeatedly. Those with trach/vent dependence have higher hospital and ICU resource utilization. Although overall mortality for these patients is quite low, underlying diagnoses, nuances of technology dependence, and other factors for frequent readmission require further study to optimize resource utilization and outcomes.
Mechanical behavior of titanium nickelide material under stretch and evaluation of biomechanical compatibility
Authors:   Tomsk State University, Marchenko Ekaterina , Kozulin Aleksandr , Topolnitskiy Evgeniy ,   Siberian State Medical University, Shefer Nikolay , Vetrova Anna , Kovaleva Marina
Published: August 2024

In this work, the characteristics of the deformation behaviour of metal meshes knitted from thin NiTi wires have been studied and an experimental evaluation of their biological compatibility has been carried out. The experimental stress-strain diagrams obtained fully correspond to the typical tensile diagrams of superelastic NiTi alloys with marten-sitic transformation. The nonlinear dependencies of the stress of the metal mesh knitted from NiTi wire are rheologically similar to hyperelastic materials and differ from the ob-tained stress diagrams of the wire. It was found that the tensegrity structure of the knit-ted fabric limits the manifestation of the superelasticity effect characteristic of the wire. The tensile strength of the knitted fabric was found to be significantly lower than that of the wire. Using numerical modelling methods, it has been shown that the complex stress state of the metal mesh during deformation leads to inhomogeneity of the stress distribution in the structure and localisation of its maximum values in the contact area of the loops, confirming the hypothesis of suppression of superelasticity due to design features. An analysis of the stress distribution in the loops showed that stretching in the range of physiological loads does not lead to local destruction of the NiTi metal mesh. The results of an experimental macroscopic evaluation of the implantation area showed that there were no hernia defects in the endoprosthesis area and the adhesive process was recorded in only 3 (15 %) cases. The replacement area of the endoprosthesis was elastic and easily deformable. The porous surface structure of the NiTi wire, as well as the biomechanical and biochemical properties of the bilayer metal mesh, ensure optimal integration of the endoprosthesis into the body tissues and contribute to the formation of an elastic frame close to the natural one. Bilayer NiTi knitted mesh has shown promis-ing results in the replacement of complex anatomical structures, opening up prospects for further clinical research.
Optimizing Cloud Security with an Intelligent Framework: Combining Machine Learning and Probabilistic Techniques
Authors: Pali Prof. Pankaj , Sharma Prof. Saurabh , Paranjape Prof. Vishal
Published: August 2024

The swift evolution and extensive adoption of cloud computing have fundamentally revolutionized data management, storage, and processing within organizations. Cloud environments are celebrated for their unmatched scalability, flexibility, and cost-effectiveness, solidifying their role as crucial elements of modern information technology infrastructure. However, these benefits come with significant security challenges. The growing complexity and data richness of cloud environments make them prime targets for cyber threats and malicious activities. Traditional security measures, though essential, often fall short in addressing the dynamic and sophisticated nature of contemporary cyber threats. The need for advanced, adaptive, and intelligent security frameworks has never been more critical. This study proposes an intelligent security framework tailored for cloud environments, leveraging machine learning and probabilistic techniques to enhance security and mitigate associated risks.Machine learning algorithms have proven highly effective in detecting anomalies, identifying patterns, and predicting potential security breaches. By continuously learning from data, these algorithms can adapt to evolving threats, providing a proactive defense mechanism. Simultaneously, probabilistic techniques offer a robust mathematical approach for managing uncertainty and making informed decisions under uncertain conditions. The integration of these methods aims to deliver a comprehensive security solution that is both effective and efficient. The proposed method achieves an accuracy of 91.8%, with a mean absolute error (MAE) of 0.403 and a root mean square error (RMSE) of 0.203, demonstrating its effectiveness in enhancing security measures for cloud environments. The primary goal of this research is to develop and evaluate this intelligent security framework, assessing its capability to detect and respond to a wide range of security threats, including data breaches, unauthorized access, and insider threats. Detailed testing and analysis validate the framework’s potential in improving the security posture of cloud-based systems. The following sections review existing literature on cloud security, machine learning applications in cybersecurity, and probabilistic techniques. The design and implementation of the proposed framework are then described, followed by a comprehensive evaluation of its performance. Finally, the implications of the findings are discussed, and future research directions are proposed.
Artificial Intelligence in Crop Management: Predictive Analytics for Soil Health and Weather Patterns
Authors: Choubey Khushboo , Dwivedi Mallika , Vishwakarma Zeba
Published: August 2024

The global demand for food is escalating at an unprecedented rate, driven by population growth, urbanization, and changing dietary preferences. Traditional agricultural practices, although effective to a certain extent, are increasingly unable to meet this rising demand. In this context, the integration of advanced technologies such as artificial intelligence (AI) into agriculture presents a promising solution. AI has the potential to revolutionize crop production by enhancing yield, optimizing resource use, and mitigating the impacts of climate change. This research paper explores the current state of AI applications in agriculture, focusing on their impact on crop growth. The proposed method utilizes machine learning algorithms to analyze various parameters influencing crop growth. The results demonstrate a high degree of accuracy, with an accuracy rate of 97.6%. The mean absolute error (MAE) is 0.403, and the root mean square error (RMSE) is 0.203, indicating the model's robustness and reliability. Through case studies and empirical data, this paper aims to provide a comprehensive overview of how AI can transform crop production and contribute to global food security.
Advancements in Machine Learning
Algorithms and their Influence on Robotic
Industry Performance
Authors: Choubey Khushboo , Vishwakarma Zeba , Dwivedi Mallika
Published: August 2024

Recent advancements in machine learning (ML) have significantly transformed the robotic industry,
enhancing the autonomy, precision, and efficiency of robotic systems. This paper investigates the dependency of
machine learning within the robotic industry, highlighting its critical role in advancing robotic capabilities across
various sectors, including manufacturing, logistics, healthcare, and exploration. The integration of sophisticated ML
algorithms has enabled robots to perform complex tasks with unprecedented accuracy.
The proposed method demonstrates a notable performance with an accuracy of 97.6%, reflecting its effectiveness in
achieving high-quality results. The evaluation metrics further underscore the method’s precision, with a Mean Absolute
Error (MAE) of 0.403 and a Root Mean Square Error (RMSE) of 0.203. These metrics illustrate the robustness of the
method in minimizing errors and enhancing overall system performance.
By analyzing several case studies and applications, this research elucidates the pivotal ways in which machine learning
algorithms are integrated into robotic systems. It also explores the associated benefits and ongoing developments that
continue to push the boundaries of robotic technology. This paper aims to provide a nuanced understanding of the role
of machine learning in the robotic industry and its implications for future advancements.
Real-Time Monitoring and Predictive Analytics in
Healthcare: The Role of IoT Technologies
Authors: Anjum Gulafsha , Hasan Zohaib , Prasad Roshan , Yadav Rajshree
Published: August 2024

The integration of wearable technology with real-time health analytics has the potential to transform
healthcare by enabling continuous monitoring and proactive management of health parameters. This paper presents the
development of advanced algorithms designed to process and analyze health data from wearables in real-time, aiming
to detect anomalies and predict potential health issues before they become critical. The proposed method demonstrates
a high level of accuracy, with performance metrics indicating an accuracy of 94.8%, a Root Mean Squared Error
(RMSE) of 0.208, and a Mean Absolute Error (MAE) of 0.406. These results underscore the effectiveness of the
proposed algorithms in identifying subtle patterns and deviations in health metrics, thereby facilitating timely
interventions and improving patient outcomes. The findings highlight the promise of wearable health monitoring and
real-time analytics in bridging the gap between data collection and actionable insights, ultimately fostering a more
proactive and personalized approach to healthcare.
A Comprehensive Analysis of Anonymization Techniques in Ensuring Data Privacy
Authors: Pateriya Nidhi , Thakre Neha , Mehra Atulit , Mehra Sonam
Published: August 2024

In the digital age, the proliferation of data has given rise to unprecedented opportunities for analysis and insights, enabling significant advancements across various domains such as healthcare, finance, and social sciences. However, this wealth of data also poses substantial risks to individual privacy, leading to increasing concerns about data protection and the ethical implications of data usage. The challenge lies in balancing the need to protect personal data with the imperative to extract meaningful insights from it. Data privacy and anonymization have become critical focal points in this landscape, aiming to safeguard personal information while still allowing for its analytical utility. The proposed method for data privacy and anonymization focuses on optimizing the balance between protecting personal data and maintaining its utility for analysis. The approach leverages advanced anonymization techniques and rigorous data processing algorithms to achieve high accuracy and minimal errors in preserving privacy while enabling data analysis. The method's performance was evaluated using key metrics, demonstrating its effectiveness in real-world applications. The results indicated an accuracy rate of 94.8%, a Root Mean Squared Error (RMSE) of 0.208, and a Mean Absolute Error (MAE) of 0.406. These findings highlight the method's robustness in protecting personal data while still enabling comprehensive analysis and insights, addressing the critical challenge of balancing data privacy with analytical utility. This paper delves into the contemporary issues surrounding data privacy and anonymization, evaluating current methodologies and their effectiveness in protecting personal data while enabling valuable analysis. It further examines the regulatory landscape and the evolving threats to data privacy, offering insights into future directions for research and practice in this critical area.
Comparative Study of Glass Fiber
Reinforcement in Lightweight and Normal
Weight Concrete
Authors: Tiwari Manish , Tiwari Vaibhav , Khare Arun Kumar , Tiwari Preeti , Lodhi Ashish
Published: August 2024

The utilization of fiber reinforcement in concrete has garnered significant attention due to its potential to
enhance mechanical properties and durability. This research paper aims to compare the effects of glass fiber
reinforcement on lightweight concrete (LWC) and normal weight concrete (NWC). The study examines various
properties including compressive strength, tensile strength, flexural strength, and durability aspects such as shrinkage
and crack resistance. The findings suggest that glass fiber reinforcement offers distinct advantages in both types of
concrete, with varying degrees of improvement based on the concrete's inherent characteristics.
Mechanical Performance of Glass Reinforced
Fibre Concrete with Different Fiber Contents
Authors: Tiwari Manish , Tiwari Vaibhav , Khare Arun Kumar , Tiwari Preeti , Saraf Shruti
Published: August 2024

The incorporation of glass fibres into concrete to form Glass Reinforced Fibre Concrete (GRFC) has
shown significant potential in enhancing the mechanical properties of the material. This paper investigates the
mechanical performance of GRFC with varying fiber contents. By examining the tensile, compressive, and flexural
strengths of GRFC, the study aims to identify the optimal fiber content that maximizes mechanical performance.
Extensive literature review and experimental analysis are used to assess the effects of different fiber contents on the
mechanical behavior of GRFC.
Sustainable Water Treatment: Utilizing
Banana Peel Extract as a Natural Coagulant
Authors: Tiwari Manish , Tiwari Vaibhav , Khare Arun Kumar , Tiwari Preeti , Jain Pranshul
Published: August 2024

The need for sustainable water treatment solutions has become increasingly urgent due to the rising
concerns about environmental pollution and resource depletion. Conventional methods, while effective, often rely on
synthetic chemicals that may have adverse environmental impacts. This research explores the potential of banana peel
extract as a natural coagulant for water treatment, offering a sustainable and cost-effective alternative. Banana peels, a
commonly discarded agricultural by-product, are rich in polysaccharides and other active compounds that can enhance
coagulation and flocculation processes. This paper presents a comprehensive analysis of banana peel extract’s
effectiveness in removing turbidity and contaminants from water, compares its performance with conventional
coagulants, and discusses its environmental and economic benefits.
Incorporating Nano-Silica (NS) into Concrete Mixtures
Authors: Mishra Guru Sharan , Tiwari Manish , Verma Parth , Hoonka Vaibhav , Khare Arun Kumar , Sirbaiya Bhupendra
Published: August 2024

Concrete is the most widely used material in construction, and its design accounts for a significant portion of global cement production. However, the extensive use of cement significantly contributes to CO2 emissions, exacerbating the greenhouse effect. One strategy to mitigate this environmental impact involves reducing cement content in concrete mixes by incorporating silica fines. Among these fines, nano-silica (NS) shows promise as a cement substitute and concrete additive. Nonetheless, the complex synthesis process of commercial NS makes it impractical for the construction industry, and the precise impact of NS on concrete is not yet fully understood. In a recent research endeavor, a novel nano-silica derived from olivine has been developed and will be compared with commercially available NS through application and testing. Additionally, modifications to a mix design tool used for self-compacting concrete (SCC) will be made to accommodate particles ranging from 10 to 50 nm in size. This paper aims to provide an up-to-date overview of NS application in concrete, focusing on optimizing its properties for effective integration. Topics covered include the NS production process, its influence on concrete properties, and potential applications. Furthermore, an outline of the experimental setup and proposed future research directions is presented.
Strength of Steel Fiber Concrete Using Coal Fly Ash and Silica Fume
Authors: Tiwari Manish , Verma Parth , Hoonka Vaibhav , Khare Arun Kumar , Mishra Gurusharan , Sirbaiya Bhupendra
Published: August 2024

In a future where all concrete is recycled, maintaining the properties of recycled concrete is essential. Typically, recycling concrete can lead to a loss of properties, but this is not true for all mixtures. This paper provides an in-depth examination of methods to preserve the properties of recycled aggregate concrete (RAC). Various types of RAC were tested with different replacement ratios in the reviewed literature. The impact of adding steel fibers, silica fume, or fly ash to the mixtures was evaluated both separately and in combination. Specifically, coal fly ash was replaced by 0%, 10%, 20%, and 30%, and silica fume was replaced by 0%, 5%, 10%, and 15% for cement. Initially, concrete specimens with different proportions of coal fly ash and silica fume, without steel fibers, were tested for compressive, flexural, and split tensile strength. Subsequently, sets of specimens with 0.5% and 2% steel fibers were tested under the same conditions. The results indicated that the optimal combination for maximum strength was 15% coal fly ash, 20% silica fume, and 2% steel fiber.
Taxation and human rights: Towards a sustainable realisation of minimum core obligations in Nigeria
Authors: Olika Daniel
Published: August 2024

Twenty-four years after the establishment of the fourth republic and the Constitution that ushered in the democratic regime in Nigeria, the 1999 Constitution of the Federal Republic of Nigeria, socio-economic rights remain non-justiciable. Efforts by human rights organisations, academics and the bench (both within the country and regionally) have led to the design and development of various theories to support the measured enforcement of socio-economic rights. One such principle is the principle of minimum core obligations. This principle enjoins states to strive to satisfy the basic levels of these socio-economic rights. Despite these efforts, Nigeria and most African countries are still many years away from the sustainable realisation of socio-economic rights. There are a plethora of journal articles and textbook pages examining why this is so, but one thing remains certain, namely, that socio-economic rights cannot be enforced in the absence of adequate fiscal resources. While states have many sources of raising revenue, development practitioners have long realised that taxation remains the most sustainable way for governments to raise revenue. Thus, beyond the rights framework developed to ensure the promotion and protection of minimum core obligations, taxation remains a critical consideration to the realisation of this objective. This article addresses the scope of minimum core obligations and analyses the roles and limitations of taxation as a means of sustainably realising minimum core obligations in Nigeria. It argues that illicit financial flows, corruption and a large informal economy, among others, tend to affect the ability of the government to raise revenues, and that there is a direct link between these problems and an inadequate socio-economic rights framework in Nigeria. Implicit in the obligation to respect, protect, and fulfil the essential minimum standards of these socio-economic rights is the obligation of the government to mobilise domestic resources for the protection and promotion of socio-economic rights.
Public Domain and Paywalled: Journal Articles Authored or Co-authored by U.S. Government Employees
Authors: Young Philip , Ghaphery Jimmy
Published: August 2024

Academic journal articles authored by U.S. government employees are assumed to be in the public domain, though journals vary in communicating this status, and access is often not provided.  To document this situation, between September 2020 and March 2021 we collected and analyzed copyright statements from a random sample of articles in PDF published in 2019 by authors affiliated with two U.S. government agencies.  13% of the sampled articles had a copyright statement indicating the U.S. public domain or U.S. government authorship.  42% of the published versions of the sampled articles were behind a paywall.  Even when all authors of an article were U.S. government employees, 29% were labeled in the U.S. public domain, and 66% were behind a paywall.
 
While copyright notices are not required, notice provides legal certainty on the usage of journal articles, which are shared among scholars, added to bibliographic managers, and posted to websites and repositories. Journal articles authored by U.S. government employees may be a source of open access that has not been fully realized, and uniquely, a retrospective source of access for scholarship.  We suggest best practices for journal publishers, as well as possible actions by U.S. government agencies, library organizations, and institutional repositories.  The U.S. public domain provides an opportunity to increase the number of peer-reviewed journal articles that are open access.
Standard operating procedure for dead-end ultrafiltration water sampling in the field for bacterial pathogens using REXEED 25S replacement filters v1
Authors: Ann Kase Julie
Published: August 2024

This protocol details the standard operating procedure for dead-end ultrafiltration water sampling in the field for bacterial pathogens using REXEED 25S replacement filters.
USDA LTAR Common Experiment measurement: Collection of grain yield data using a yield monitor v1
Authors: K. Owen Olivia
Published: August 2024

This protocol provides detailed methods for in-field collection of grain yield data using a combine harvester equipped with a yield monitor. Proper in-field procedures are key to the collection of high-quality continuous grain yield data. Well-functioning harvest equipment including the combine, yield monitor, and sensors are necessary to produce high-quality data. These data are exported via USB or cloud transfer and a yield map can be developed. Yield maps are highly valuable for farmers and scientists as we work towards increased production and yield stability. To reduce error and provide high-quality continuous grain yield data we recommend the following steps: harvester setup and calibration, field overview, machine operation (yield monitor setup, calibration, set export parameters), and applying calibration. These will be discussed in detailed sections below. A separate protocol (USDA LTAR Common Experiment measurement: Post-processing of spatial grain yield data) addresses the post-processing steps required to convert yield data into accurate yield maps. Across the LTAR Cropland Experiments to-date, there are four sites that utilize John Deere Greenstar yield monitors while eight utilize Ag Leader Integra yield monitors (based on a survey in 2022). In this protocol, we focus primarily on Ag Leader Integra procedures and recommendations due to its prevalence among the sites but also provide information regarding the John Deere Greenstar system. We suggest utilizing the Ag Leader monitoring system to obtain research-grade data when possible. We understand the cost and familiarity issues associated with moving to a new system. However, after 2012, the John Deere Greenstar system was replaced by Greenstar ActiveYield. Using ActiveYield can create more difficulty during the post-processing phase. This is due to the calibration adjustments which occur automatically when using ActiveYield, which may result in many different calibration curves within a single field. Application of these calibration curves occurs only for the section of the field that has just been calibrated, essentially creating multiple data sets for a single field. Therefore, if using the post-2012 Greenstar system we recommend disabling ActiveYield and using the manual, multi-point calibration procedure to make post-processing more repeatable and clearer.
Computerized Self-Help Design for Youth Depression Management
Authors: Mat Noor Siti Fadzilah , Hussain Nor Hidayah , Tengku Wook Tengku Siti Meriam , Mohamed Hazura , Elias Nur Fazidah , Wan Ismail Wan Salwina , Ibrahim Norhayati , Thiagarajan Anuradha , Fabil Norasikin
Published: August 2024

This study examines the design process of a computerized mind therapy module and the development of a prototype application called My Minda Care to assist youth in managing the symptoms of depression. This is due to the reluctance of youth to seek treatment for depression problems faced either through face-to-face therapy or computer-based therapy, causing this problem to not be identified early and even leading to suicide cases. This study aims to design a computerized therapy module that involves document analysis methods, application prototype flow chart construction, and brainstorming discussion by seven experts in two groups, namely mental health professionals and multimedia professionals. The study results are a mindful therapy module designed specifically according to the needs of youth, as well as the development of a My Minda Care application prototype implementing the module content through storyboard design and the development of a low-fidelity prototype. The My Minda Care application prototype serves as a self-help tool for youth to manage their depression symptoms.
Proteomic Profiling of Serum of Women with Bi-Rads 1 to 5: Identification of Potential Complementary Biomarkers for Early Detection of Breast Cancer
Authors: Jayapalan Jaime Jacqueline , Vellan Christina Jane , Islam Tania , Mohd Taib Nur Aishah , Chinna Karuthan
Published: August 2024

Mammography remains the gold standard for the screening of breast cancer (BrCa) despite its shortcomings. Cancer antigen 15-3, an FDA-approved biomarker, is most useful as a treatment response and recurrence monitoring tool rather than for early detection of BrCa. Given this, we aimed to screen for potential complementary diagnostic protein biomarkers in the serum of women with BI-RADS 1 to 5. Individual neat sera of women with BI-RADS 1 to 5 (N = 33) were subjected to two-dimensional electrophoresis (2-DE) for the separation of proteins. Comparative analysis of the 2-DE silver-stained gel images was performed using Progenesis SameSpots software. The identification of protein spots of interest was determined following tandem MS/MS analysis and database search using either MASCOT or X! Tandem Vengeance search engines. Data are available via ProteomeXchange with the identifier PXD040427. The Bioinformatics tools of The Database for Annotation, Visualization, and Integrated Discovery were used for the functional annotation of the proteins of altered abundance. A total of 8 non-redundant proteins including albumin, apolipoprotein A-I, apolipoprotein A-II, clusterin, complement C3, immunoglobulin kappa constant, kininogen-1, and leucine-rich alpha-2 glycoprotein were found significantly overexpressed in the sera of women with BI-RADS 4 and/or 5 (p < 0.01, FC ≥ 2). Functional annotation of the significantly differentially expressed proteins showed their possible roles in the development of BrCa. The identified protein signatures are potential biomarkers for use in complement with mammography for improved detection of BrCa at an early stage.
Insight into the in silico Study and Biological Evaluation of Curcumin Analogue Compounds as New Potential Inhibitors for Dengue DEN2 NS2B/NS3 Serine Protease
Authors: Frimayanti Neni , Herfindo Noval , Aisyah Siti , Rahmawaty Eni Nur
Published: August 2024

Dengue is an infectious disease caused by a virus and it is a rapidly emerging pandemic disease in many parts of the world. However, to date, one licensed tetravalent Dengvaxia vaccine based on a yellow fever virus vaccine variant has been reported. In silico and biological assay were performed to twenty two curcumin analogue compounds with DEN2 NS2B/NS3 serine protease as target. The main purpose of this study were to predict and estimate the binding interaction and also the ability of curcumin analogue compounds to be potential inhibitors for DEN2 NS2B/NS3. Computational pipeline such as molecular docking and molecular dynamic were constructed to get insight into potential inhibitor for DEN2 NS2B/NS3. Biological assay was performed to validate in silico results. Docking results reported that compounds 3, 10, and 13 have the lowest binding free energy value of -15.2 kcal/mol, -13.66 kcal/mol and -13.68 kcal/mol, respectively. All these three compounds were also able to interacts with Lys74 (i.e., allosteric site of serine protease) through hydrogen bonding, these binding is keep maintain during the molecular dynamic simulation. Among all of the compounds tested on their percent inhibition against DEN2 NS2B/NS3, compounds 3, 10, and 13 exhibited the best of percent inhibition. Thus, three of these compounds can be used as potential candidate for the next stage in the drug discovery process.
Utilization of Theoretical and Conceptual Frameworks: An Analysis of National Mathematics Education Theses Published in 2019-2023
Authors: Osmanoğlu Aslıhan , Özgeldi Meriç
Published: August 2024

This study aimed to examine the use of theoretical and conceptual frameworks in master's and
doctoral theses published in the field of mathematics education in Turkiye between 2019 and 2023. For this
purpose, a total of 237 master's and doctoral theses downloaded from the Council of Higher Education national
thesis center were analyzed within the scope of the method and the framework used. Given that master's and
doctoral theses in the field of mathematics education were reviewed, the document analysis method was
utilized. The theses were analyzed based on characteristics: methodology (quantitative, qualitative, mixed
research paradigm) and framework (theoretical, conceptual, theoretical and conceptual, other). In the analysis
phase, the distribution of theses according to types and years was also examined. The findings indicated that
the majority of thesis studies were conducted using a qualitative method within a theoretical framework. This
was followed by quantitative studies using a theoretical framework and mixed-method studies within a
theoretical framework. Additionally, there were qualitative studies classified under other and qualitative
studies using a conceptual framework. The qualitative thesis studies using the theoretical framework were
predominant and that these were mostly master's theses and published in 2023. The findings were discussed in
the light of the relevant literature and suggestions were made for future research.
Risk factors of early onset type 2 diabetes mellitus in young adults ≤ 40 years old
Authors: Gunawan Burhan , Soerachmad Soesilowati , Hendrawan Liana Dewi , Titus Johana , Cendana Vira
Published: August 2024

BackgroundThe global prevalence of type 2 diabetes mellitus (T2DM) in adolescents and young adults is dramatically increasing. The aim of this study was to explore numerous risk factors for the occurrence of Pre-DM or T2DM in subjects aged ≤40 years.
MethodsA cross-sectional study was conducted involving 100 subjects (50 subjects in the Pre-DM/T2DM group and 50 subjects in the Non Pre-DM/T2DM group). Main inclusion criteria: age ≤40 years, registered in our Diabetes and Endocrine Clinic. Data extracted included demographic, lifestyle, anthropometric, psychosocial, and family history data. Statistical analysis by binary logistic regression model. Results were considered significant at p<0.05
ResultsThere were no differences in demographic variables between the two groups. Multivariate analysis showed that cigarette smoking [aOR 3.17 (95% CI: 1.11-11.28)], hypertension [aOR 2.48 (95% CI: 1.23-7.19)] obesity [aOR 5.11 (95% CI: 2.12-8.21)], history of excessive calorie intake [aOR 3.40 (95% CI: 1.54-5.55)], poor stress management [aOR 2.33 (95% CI: 1.04-3.88)], depression [aOR 5.17 (95% CI:1.63-8.26)], short sleep duration [aOR 2.72 (95% CI: 1.25-6.95)], physical inactivity [aOR 6.14 (95% CI: 1.41-9.22)], family history of T2DM [aOR 6.29 (95% CI: 2.61-9.27)], family history of hypertension [aOR 5.26 (95% CI: 2.18-8.91] were significant influential risk factors of Pre-DM/T2DM.
ConclusionThe most influential risk factor for the occurrence of early onset T2DM among young adults was family history of T2DM. Screening of family members of T2DM patients may lead to early intervention and reduced risk of subsequent complications.
3D Freeform Printing of Nanocomposite Hydrogels through in situ Precipitation in Reactive Viscous Fluid
Authors: Chen Shengyang , Jang Tae-Sik , Matthew Pan Houwen , Jung Hyun-Do , Sia Ming Wei , Xie Shuying , Hang Yao , Mark Chong Seow Khoon , Wang Dongan , Song Juha
Published: August 2024

Composite hydrogels have gained great attention as three-dimensional (3D) printing biomaterials because of their enhanced intrinsic mechanical strength and bioactivity compared to pure hydrogels. In most conventional printing methods for composite hydrogels, particles are preloaded in ink before printing, which often reduces the printability of composite ink with little mechanical improvement due to poor particle-hydrogel interaction of physical mixing. In contrast, the in situ incorporation of nanoparticles into a hydrogel during 3D printing achieves uniform distribution of particles with remarkable mechanical reinforcement, while precursors dissolved in inks do not influence the printing process. Herein, we introduced a “printing in liquid” technique coupled with a hybridization process, which allows 3D freeform printing of nanoparticle-reinforced composite hydrogels. A viscoplastic matrix for this printing system provides not only support for printed hydrogel filaments but also chemical reactants to induce various reactions in printed objects for in situ modification. Nanocomposite hydrogel scaffolds were successfully fabricated through this 3D freeform printing of hyaluronic acid (HAc)-alginate (Alg) hydrogel inks through a two-step crosslinking strategy. The first ionic crosslinking of Alg provided structural stability during printing, while the secondary crosslinking of photo-curable HAc improved the mechanical and physiological stability of the nanocomposite hydrogels. For in situ precipitation during 3D printing, phosphate ions were dissolved in the hydrogel ink and calcium ions were added to the viscoplastic matrix. The composite hydrogels demonstrated a significant improvement in mechanical strength, biostability, as well as biological performance compared to pure HAc. Moreover, the multi-material printing of composites with different calcium phosphate contents was achieved by adjusting the ionic concentration of inks. Our method greatly accelerates the 3D printing of various functional or hybridized materials with complex geometries through the design and modification of printing materials coupled with in situ post-printing functionalization and hybridization in reactive viscoplastic matrices.
Role of skin circadian rhythm and the effect of day and night cream: a survey on Indian dermatologists’ and cosmetologists’ views and patient experiences
Authors: H. N. Pavithra , Bansal Rohit , Das Shamik , Sen Dyotona , Choudhary Sanjay
Published: August 2024

Background: The skin plays different functions during the day and night to adapt to the changing environments. Various specialized creams are available to meet these skincare needs. The present study was conducted to explore the perspective of Indian dermatologists and cosmetologists on skin’s circadian rhythm and assess the effectiveness of a particular day and night cream formulation.
Methods: A non-interventional, questionnaire-based study was conducted as part of a survey series on multiple dermatology products across India. Every month, a product-specific survey link was released to these registered doctors, and each doctor could take up to 10 surveys for a maximum of two products. A total of 379 healthcare professionals (HCPs) took the survey on the day and night cream and reported experiences of 2085 patients regarding the use of these products.
Results: The doctors believed that for majority of the patients (1997, 97%), required day and night cream to maintain their skin’s circadian rhythm. Most patients (1440, 70%) were compliant with day and night care cream regimens. Most patients (966, 47%) were highly satisfied with the use of day and night cream, with majority of the patients (1028, 49.4%) experiencing considerable reduction in dark spots and uneven skin tone. Most patients (971, 47%) felt that the application of day and night cream left their skin moisturized and rejuvenated.
Conclusions: The use of day and night cream improved skin condition and hydration, addressing circadian rhythm imbalance. Indian HCPs understand the impact of skin circadian rhythm imbalance and promote a comprehensive skincare regimen to patients.
A comparative study of total vitamin B12 and active B12 (holotranscobalamin) in patients with chronic kidney disease
Authors: Ramprasad Kowsalya , Siddappa Madhura Navule
Published: August 2024

Vitamin B12 deficiency is a serious disorder that can lead to severe neurological symptoms, especially if not detected and treated effectively. Nutritional deficiency due to dietary restrictions, deranged metabolism, and subsequent vitamin loss during dialysis are important causes of vitamin B12 deficiency in CKD patients. Hyperhomocysteinemia, a complication of vitamin B12 deficiency, has grown as an important risk factor for cardiovascular disease and the leading cause of mortality in patients with CKD.

Serum samples were randomly selected from 124 patients (46 females, 78 males; age range 18-65 years) referred to the Dept. of Biochemistry, Institute of Nephrourology, Bangalore, India for the assessment of vitamin B12 status. For each patient, serum total vitamin B12 level and active B12 (holoTC) level were determined by chemiluminescent microparticle immunoassay on Architect ci1000 analyzer.

Out of the total 124 patients, 17 CKD patients were excluded from the study, and in the remaining 107 patients, 13.08% showed a deficiency of both Total vitamin B12 and Active B12. In the 107 patients, the mean total vitamin B12 level was 604.85 ± 495.2 pg/mL, and the mean Active B12 level (holoTC) was 67.1 ± 32.75 pmol/L, with a strong positive correlation (=0.501, <0.01) between total B12 and active B12 levels. A significant deficient level of B12 was found in the patients on hemodialysis for more than three years.

: Active B12 can aid vitamin B12 measurements for diagnosis of B12 deficiency and can be a potential indicator of B12 deficiency in patients with CKD.