bluuebunny/crossref_metadata_2025 huggingface dataset:
Orthotopic heart transplantation in patient with Williams syndrome: case report and considerations in perioperative and long-term management
Authors: Pettit Alee N. , Nitsche Lindsay J. , Ahmed Humera , Catalano Michael , Mavroudis Constantine D.
Published: January 2025

This report describes the first long-term survival following a heart transplant for Williams syndrome-associated cardiac pathologies. An 11-year-old patient with severe global left ventricular dysfunction presented with heart failure and underwent heart transplantation. Her peri- and post-operative courses were complicated by hypertension related to underlying vascular pathology.
Using fuzzy cognitive mapping to assess the sustainability impacts of transitioning to pasture-fed production in the UK beef sector
Authors: Rowe Elizabeth , Norton Lisa , McVittie Alistair , Watson Christine , Wagner Markus , Waterton Claire , Smith Laurence
Published: January 2025

One hundred percent pasture-fed beef production has been suggested as a promising approach for sustainable ruminant farming, due to the potential benefits that can accrue across a range of sustainability domains. This study aimed to investigate the impacts across the four domains of sustainability of a wholesale switch from conventional to 100% pasture-fed beef production in the UK. We used fuzzy cognitive mapping (FCM) as a method for extracting knowledge from multiple stakeholders to create representative systems models of both conventional and pasture-based beef production systems. We then conducted a scenario analysis to assess how a switch to a pasture-fed system could affect components of sustainability in the UK beef sector. The FCMs indicated that vegetation quality, grass use efficiency, and soil health were central components of the pasture-fed approach, while economic and regulatory aspects, and climate change targets were more central to mainstream production approaches. The most marked changes under the 100% conversion scenario were an increase in income from subsidies (27.3%) in line with ‘public money for public goods’, a decrease in ability to export beef (unless advice to reduce consumption of animal protein is followed) (23.5%), a decrease in land used for farming vs other uses (e.g., natural capital) (11.23%), and a decrease in the use of feed from agricultural co/byproducts (7.5%), freeing up these feed sources for more sustainable monogastric production. Therefore, the mapping and scenario analysis suggests that while upscaling the pasture-fed approach may reduce productivity, it would likely increase public goods provision and reduce feed–food competition in the UK.
Restoring dignity by granting rights: IHL and peacebuilding empowerment for Magdalena River fishing communities in Colombia
Authors: Martinez-Villalba Lucas
Published: January 2025

This article examines the role of international humanitarian law (IHL) in safeguarding artisanal fishing communities residing along the banks of the Magdalena River in Colombia after the recognition of the river as a rights-bearing entity1 and a victim of the armed conflict. The article also explores the potential of targeted peacebuilding interventions for achieving sustainable well-being, ecological restoration and enduring peace. Against the backdrop of historical conflict, the Magdalena River and its adjoining communities have suffered significant harm, requiring widespread reparations that go beyond immediate crisis management. The study proposes a comprehensive approach for achieving sustainable well-being, ecological restoration and enduring peace, acknowledging the complex connections between legal frameworks, environmental considerations and the cultural heritage of the riverine community.
Linking the Congruency Effect in Memory to Confirmation Bias in Decision-Making Across the Lifespan – Common Roles of the Medial Prefrontal Cortex
Authors: Guo Dingrong , Shing Yee Lee
Published: January 2025

Abstract: Memory and decision-making are two key cognitive processes, influencing each other, and possessing various commonalities and differences. The intricate relationship between the two concepts has gained recent emphasis under a neurocognitive system model. The aim of this review is to connect these two areas of research by focusing on two concepts – the congruency effect in memory research and confirmation bias in decision-making research, and to inspire new research directions. In a selective review of the literature, studies were chosen based on their relevance to these topics following comprehensive literature searches. The review begins with an overview of the two concepts, both of which are notably linked to prior experiences, implicating common roles of the medial prefrontal cortex (mPFC). Given the distinct maturation and ageing patterns of the dorsal and the ventral parts of the mPFC (dmPFC and vmPFC), we further explore related research from a developmental cognitive neuroscience perspective. This perspective offers a valuable tool for understanding the underlying mechanisms and suggests potential directions for future research, including investigating the learning processes associated with the memory congruency effect, employing more complete and inclusive lifespan samples and conducting studies on individual differences. In sum, linking these two concepts may shed new light on understanding how humans process new information based on their prior experiences.
Slowed Response of Atlantic Meridional Overturning Circulation Not a Robust Signal of Collapse
Authors: Zimmerman C. C. , Wagner T. J. W. , Maroon E. A. , McNamara D. E.
Published: January 2025

Using an idealized model of the Atlantic meridional overturning circulation (AMOC), we test whether changes in the statistical properties of an AMOC time series can reveal Critical Slowing Down (CSD) and serve as early warnings of an upcoming critical transition. We calculate CSD indicators for simulations across varying parameter regimes, investigating the system's steady‐state dynamical structure and its evolution under gradual climate forcing. We find that the modeled AMOC features bistability for relatively weak gyre salinity exchange, but no bistability when the gyres are sufficiently strong. However, CSD indicators consistently warn of a collapse across the gyre strength parameter space, even when no bifurcations occur, thus raising false alarms. We argue that CSD should be applied cautiously in systems where the dynamical structure and physical response to forcing are not fully known (such as the AMOC), specifically where it is not a priori clear whether the system is in a multistable regime.
A practical guide to public involvement with children and young people in dental research
Authors: Morgan Emma , Preston Jennifer , Albadri Sondos
Published: January 2025

Public involvement (PI) in health research is an umbrella term which describes the process by which research is undertaken ‘with' or ‘by' people rather than ‘to', ‘about' or ‘for' them. The United Nations Convention of the Rights of the Child provides children and young people (CYP) with a comprehensive set of human rights. In line with Article 12, every child has a right to express their views in all matters which may affect them. Additionally, there has been increased expectation from funders for PI to be demonstrated as part of research. While PI encompasses all activities which aim to involve CYP, they can be categorised into different levels, including consultation, collaboration and user-led. CYP can be involved in many different aspects of research, from research question identification, research design and dissemination. Despite this, there may be challenges to delivering PI, such as funding and time. Using the basic principles outlined in this paper, there is opportunity for involvement of CYP in a range of settings to produce meaningful involvement with CYP.
Advances in knowledge and practice benefiting the health and management of first permanent molars in children
Authors: Taylor Greig D. , Bulmer Victoria
Published: January 2025

First permanent molars (FPMs) remain the most affected teeth by dental conditions in childhood. Maintaining the health of FPMs should be prioritised by dental professionals. However, if subjected to unfavourable circumstances, FPMs can become compromised and impact the child negatively. In this article, we highlight current thinking and provide practical tips to prevent FPMs from becoming compromised. The importance of including the young person in decision-making and the influence different dental conditions might have on management of FPMs are discussed. Finally, the impact and treatment options available for FPMs should they become compromised are explored, focusing on the main question of whether to restore or extract these teeth.
Dietary fiber content in clinical ketogenic diets modifies the gut microbiome and seizure resistance in mice
Authors: Özcan Ezgi , Yu Kristie B. , Dinh Lyna , Lum Gregory R. , Lau Katie , Hsu Jessie , Arino Mariana , Paramo Jorge , Lopez-Romero Arlene , Hsiao Elaine Y.
Published: January 2025

The gut microbiome modulates the anti-seizure effects of the ketogenic diet, but how specific dietary formulations differentially modify the gut microbiome in ways that impact seizure outcome is poorly understood. We find that medical ketogenic infant formulas vary in macronutrient ratio, fat source, and fiber content and differentially promote resistance to 6-Hz seizures in mice. Dietary fiber, rather than fat ratio or source, drives substantial metagenomic shifts in a model human infant microbial community. Addition of fiber to a fiber-deficient ketogenic formula restores seizure resistance, and supplementing protective formulas with excess fiber potentiates seizure resistance. By screening 13 fiber sources and types, we identify metagenomic responses in the model community that correspond with increased seizure resistance. Supplementing with seizure-protective fibers enriches microbial genes related to queuosine biosynthesis and preQ0 biosynthesis and decreases genes related to sucrose degradation and TCA cycle, which are also seen in seizure-protected mice that are fed fiber-containing ketogenic formulas. This study reveals that different formulations of ketogenic diets, and dietary fiber content in particular, differentially impact seizure outcome in mice, likely by modifying the gut microbiome. Understanding interactions between diet, microbiome, and host susceptibility to seizures could inform novel microbiome-guided approaches to treat refractory epilepsy.
Consequences of COVID-19 for geriatric patients during a pandemic
Authors: Wemhöner Ludwig , Brandts Charlotte , Dinse Hannah , Skoda Eva-Maria , Jansen Sarah , Teufel Martin , Rohn Hana , Dodel Richard
Published: January 2025

To investigate the outcomes of geriatric COVID-19 patients in a German academic setting during the pandemic. This study included 468 consecutive geriatric patients (≥ 70 years) who tested positive for SARS-CoV-2 and were treated at the University of Duisburg-Essen from 2/2020 to 3/2021. 74 patients were transferred to a geriatric hospital and a 12-month follow-up (prospective study) was performed in 51 patients. Clinical assessments evaluated depression (GDS), apathy (AES), cognitive status (MMST), mobility (TUG), health status (EQ-5D-5 L), and daily living activities (Barthel Index). Demographic and clinical data were also analyzed. Results showed that the mortality in this vulnerable group was 52% (n = 209). Long-term survival was higher in patients who received comprehensive geriatric treatment (74.3% vs. 51.8%). The duration of inpatient stay at the primary hospital was 13.3 ± 3.6 days, with 28.8% (n = 135) requiring intensive care. At the 12-month mark more patients with geriatric treatment lived in nursing homes. Barthel-Index/Timed-Up-and-Go-Test/MMST/AES/GDS, and EQ-5D-5 L indicated worse outcomes in the group who received geriatric treatment. Specialized geriatric care may improve survival in geriatric COVID-19 patients despite decreased long-term outcomes. Further research, including international studies like NAPKON, are encouraged to confirm these findings and explore potential interventions for improved outcomes in this vulnerable population.
Machine learning to identify environmental drivers of phytoplankton blooms in the Southern Baltic Sea
Authors: Berthold Maximilian , Nieters Pascal , Vortmeyer-Kley Rahel
Published: January 2025

Phytoplankton blooms exhibit varying patterns in timing and number of peaks within ecosystems. These differences in blooming patterns are partly explained by phytoplankton:nutrient interactions and external factors such as temperature, salinity and light availability. Understanding these interactions and drivers is essential for effective bloom management and modelling as driving factors potentially differ or are shared across ecosystems on regional scales. Here, we used a 22-year data set (19 years training and 3 years validation data) containing chlorophyll, nutrients (dissolved and total), and external drivers (temperature, salinity, light) of the southern Baltic Sea coast, a European brackish shelf sea, which constituted six different phytoplankton blooming patterns. We employed generalized additive mixed models to characterize similar blooming patterns and trained an artificial neural network within the Universal Differential Equation framework to learn a differential equation representation of these pattern. Applying Sparse Identification of Nonlinear Dynamics uncovered algebraic relationships in phytoplankton:nutrient:external driver interactions. Nutrients availability was driving factor for blooms in enclosed coastal waters; nutrients and temperature in more open regions. We found evidence of hydrodynamical export of phytoplankton, natural mortality or external grazing not explicitly measured in the data. This data-driven workflow allows new insight into driver-differences in region specific blooming dynamics.
Inversion of interlayer scale using dynamic data of production wells in bottom water reservoirs: Sangtamu Oilfield, Tarim basin
Authors: Dou Mengjiao , Li Shaohua , Bian Wanjiang , Wang Huan , Chang Lunjie , Zhu Zhengjun , Li Jun
Published: January 2025

The target reservoir is a typical blocky bottom water reservoir. There are several interlayers of varying scales inside it, which impact the characteristics of the oil production and water breakthrough curves of the wells in the water flooding development oilfield, resulting in strong heterogeneity within the reservoir. The Sangtamu Oilfield has an average well spacing of approximately 600 m, causing a challenge in accurately identifying the range of small-scale interlayer spreading. This, in addition, challenges the subsequent 3D geological modeling process. This paper proposes a method to accurately characterize the size of various interlayers in a reservoir by using production dynamics data from bottom water reservoirs to invert the interlayer scale. By classifying the water breakthrough curve styles derived from theoretical testing, the range of reservoir internal interlayer scales is compared and inverted based on the actual water breakthrough styles of wells in the Sangtamu oil field. In the process, many interlayer scales derived from various types of geologic data acquisition were combined to form a quantitative geologic knowledge database of interlayers that synthesizes both dynamic and static data. This method has been applied in the Tarim Basin’s Sangtamu Oilfield, where the reservoir numerical simulation history was used to fit the model. This resulted in an overall fitting coincidence rate of 96% in the Sangtamu Oilfield and a single-well fitting coincidence rate of over 90% in well LN14. This method offers a new viewpoint on characterizing the interlayer’s scale in the area of the non-dense well network.
Noninvasive diagnosis model for predicting significant liver inflammation in patients with chronic hepatitis B in the immune-tolerant phase
Authors: Chen Shanshan , Huang Lu , Chu Yili , Lian Jiangshan , Shao Hui , Wang Tingting , Zou Xuehan , Huang Haijun
Published: January 2025

The presence of significant liver inflammation is an important indication for antiviral therapy in immune-tolerant (IT)phase with chronic hepatitis B(CHB) patients. This study aims to establish a non-invasive model to assess significant liver inflammation in the IT-phase of CHB patients. This multicenter retrospective study included a total of 535 IT-phase CHB patients who underwent liver biopsy, and were randomly divided into a training and a validation set. In the training cohort, the relevant indices were initially screened using univariate analysis. Then the least absolute shrinkage and selection operator and multivariable logistic regression were used to identify the significant independent risk factors and establish a predictive model. A diagnostic nomogram was constructed. Calibration curves, decision curve analysis, and receiver operating characteristic curves were utilized to evaluate the performance of the nomogram. In this study, 37.0% of the patients exhibited significant liver inflammation. Baseline characteristics revealed a median age of 35.0 years, with males accounting for 51.7% of the cohort. Age, Aspartate aminotransferase (AST), Prothrombin (PT), Albumin (ALB) and Hepatitis B virus DNA (HBV DNA) were identified as independent predictors of significant liver inflammation in the immune-tolerant phase, and a nomogram was constructed based on these indicators. The predictive model demonstrated good calibration and discrimination in both the training set and the validation set (aera under the curve (AUC) of 0.741 and 0.740, respectively). The nomogram can accurately identify significant liver inflammation in immune-tolerant phase CHB patients and facilitate the early initiation of antiviral therapy, thereby reducing the need for clinical liver biopsies.
Unveiling the complex morphologies of sessile droplets on heterogeneous surfaces
Authors: Wu Yanchen , Zhang Hongmin , Wang Fei , Nestler Britta
Published: January 2025

Droplets exhibiting a myriad of shapes on surfaces are ubiquitous in both nature and industrial applications. In high-resolution manufacturing processes, e.g., semiconductor chips, precise control over wetting shapes is crucial for production accuracy. Despite the high demand for describing droplet wetting shapes and their transformations across a wide range of applications, a robust model for precisely depicting complex three-dimensional (3D) wetting droplet shapes on heterogeneous surfaces remains elusive. Herein, we fill this gap by developing a universal, high-precision model that accurately describes wetting shapes, including those with polygonal baselines and irregular footprints. Our model reveals the intricate wetting morphologies beyond the classic Young’s law and Cassie-Baxter-Wenzel models. Besides, it aligns quantitatively with physical simulations for various droplet volumes. This work provides a potential method to achieve highly complex morphologies of droplets via low-cost beforehand design of the surfaces, thereby opening up potential applications in 3D printing, printed electronics, and microfluidics.
Visualization methods for loop mediated isothermal amplification (LAMP) assays
Authors: Novi Vinni Thekkudan , Meher Anil Kumar , Abbas Abdennour
Published: January 2025

This review explores advancements in LAMP assay visualization techniques, highlighting colorimetric, fluorescence, and nanoparticle-based methods that enhance sensitivity, reliability, and field-deployable nucleic acid detection.
Tailoring the oxidation of benzyl alcohol and its derivatives with (photo)electrocatalysis
Authors: Qiu Jingjing , Forbes Tucker , Lin Timothy
Published: January 2025

The electrochemical oxidation of benzyl alcohol and its derivatives has gained significance as a key anode reaction, offering an alternative to the oxygen evolution reaction (OER) for hydrogen (H2) production and carbon dioxide (CO2) reduction.
Photofunctional cyclophane host–guest systems
Authors: Garain Swadhin , Würthner Frank
Published: January 2025

This feature article presents cyclophane-based host–guest complexes for which electronic interactions between the host and guest molecules can modulate excited-state properties in an advanced way involving both singlet and triplet excited states.
Construction of a laccase/CeO2/attapulgite nanocomposite for photoenzymatic catalytic CO2 reduction coupled with biomass oxidation
Authors: Tian Huaimin , Xiao Yao , Yao Chao , Huhe Taoli , Li Xiazhang
Published: January 2025

A Lac/CeO2/ATP composite achieved the integrated utilization of the photo-generated charges, enabling the synergistic photo-enzyme catalytic reduction of CO2 coupled with benzyl alcohol conversion.
Electronic quenching of sulfur induced by argon collisions
Authors: Williams David M. G. , Weike Nicole , Lara Manuel , Dunseath Kevin M. , Viel Alexandra
Published: January 2025

Theoretical study of sulfur + argon scattering and determination of induced S(1D) quenching rates using new accurate spin–orbit and nonadiabatically coupled potential energy surfaces.
A computational mechanistic study on the Pd(ii)-catalyzed γ-C(sp3)–H lactamization and further rational design
Authors: Qin Lei , Qiao Yue , Xu Miaomiao , Li Wei , Sun Shi-Peng , Hu Yonghong , Zhao Lili
Published: January 2025

DFT calculations were conducted to study the catalytic mechanism of the Pd(ii)-catalyzed γ-C(sp3)–H lactamization reaction and to rationally design new promising ligands.
Revealing the reaction mechanism of ammonia synthesis over bimetallic nitride catalyst from a kinetic perspective
Authors: Qian Shuairen , Li Zhengwen , Sun Xiaohang , Chen Yuxin , Feng Kai , Nie Kaiqi , Yan Binhang , Cheng Yi
Published: January 2025

A framework for the investigation of reaction mechanisms based on kinetic analysis.
Strongly coupled Ag/Cu with MXene for efficient tandem nitrate reduction reaction and zinc-nitrate battery
Authors: Kui Bin , Zhao Shuang , Hu Yunhong , Zheng Kai , Yao Yuanhui , Chen Song , Wang Nana , Gao Peng , Bai Zhongchao , Ye Wei
Published: January 2025

The electrochemical conversion of nitrate ions into valuable ammonia represents a sustainable alternative to the traditional Haber-Bosch process. However, ammonia electrosynthesis from nitrate reduction is still limited by the low...
A Cartesian encoding graph neural network for crystal structure property prediction: application to thermal ellipsoid estimation
Authors: Solé Àlex , Mosella-Montoro Albert , Cardona Joan , Gómez-Coca Silvia , Aravena Daniel , Ruiz Eliseo , Ruiz-Hidalgo Javier
Published: January 2025

CartNet efficiently predicts anisotropic displacement parameters (ADPs) for molecular crystal structures, reducing computational costs and outperforming tested methods while achieving state-of-the-art accuracy across diverse datasets.
Ni–Pd bimetallic nanoparticle stabilized polymer membrane as an efficient dip-catalyst for oxidative coupling of aromatic amines to access symmetrical and unsymmetrical azo compounds
Authors: Anshuman  , Laxmi Raj , Gupta Padmini , Mishra Renu , Gupta Neelam , Kuila Biplab K.
Published: January 2025

A polymer based flexible dip-catalyst membrane embedded with Ni–Pd bimetallic nanoparticles was developed to convert aromatic amines to symmetrical and unsymmetrical azo compounds under open air conditions.
Multiple interface coupling triggered built-in electric field over double-sandwiched RGO/cobalt silicate/cobalt-iron phosphide for improving the overall water-splitting performance
Authors: Zhang Yifu , Tan Xianfang , Pei Xiaoyu , Wang Yang , Yi Shengping , Wang Qiushi , Zhu Xiaoming , Meng Changgong , Huang Chi
Published: January 2025

In this work, multiple interface coupling between rGO, CS, and (Co,Fe)xPy triggers a built-in electric field, which lowers the energy barrier for HER by facilitating H–OH bond dissociation and accelerates OER by promoting OH− adsorption.
Recent advances in microwave-assisted synthesis of triazoles and their derivatives: a green approach toward sustainable development methods
Authors: Swami Suman , Sharma Neelam , Sharma Garvit , Shrivastava Rahul
Published: January 2025

Triazole, a nitrogen-containing five-membered heterocycle with two isomeric forms, 1,2,3-triazole and 1,2,4-triazole, has proven to be a valuable component in the pharmaceutical domain.
Synthesis of an imine-type nickel complex and investigation of its electrocatalytic activity for H2 evolution
Authors: Le Lan H. , Pham Ngoc H. , Tran Phong D. , To Tung H.
Published: January 2025

An nickel complex was synthesized by the coordination between in situ generated imine ligand and Ni(ii) source, with complete structural characterization. Its electrocatalytic activity for H2 evolution in the organic medium showed positive results.
A critical appraisal of advances in integrated CO2 capture and electrochemical conversion
Authors: Badreldin Ahmed , Li Ying
Published: January 2025

This perspective critiques advancements in integrated CO2 capture and electrochemical conversion, contrasting emerging methods like eRCC via amine or (bi)carbonate pathways and direct ACC with traditional sequential capture and conversion strategies.
An origami colorimetric paper-based sensor for sustainable on-site and instrument-free analysis of nitrites
Authors: Gregucci Denise , Calabretta Maria Maddalena , Nazir Faisal , Rodriguez Arias Robert Josue , Biondi Federico , Desiderio Riccardo , Michelini Elisa
Published: January 2025

Paper-based sensors have been widely used thanks to their potential for creating simple, low-cost, and sustainable analytical devices, making them particularly suitable for environmental monitoring. The aim of this work...
Design, development and performance of a Fe–Mn–Si–Cu alloy for bioabsorbable medical implants
Authors: Lemke J. N. , Fiocchi J. , Biffi C. A. , Tuissi A. , Copes F. , Paternoster C. , Mantovani D. , Coda A.
Published: January 2025

Tailoring microstructure by processing and heat treatments to optimize: B2 Cu-particle distribution, mechanical properties and degradation. In vitro assessment of cytocompatibility, hemocompatibility, antibacterial effect.
Development and Pilot Implementation of a Theory-Based Cognitive Rehabilitation Protocol for Adults With Chronic Cognitive Complaints After Mild Traumatic Brain Injury
Authors: Turkstra Lyn S. , Ray Melissa R. , LeBlanc M. Marina , Lu Lisa H. , Curtiss Glenn , Bowles Amy O. , Eapen Blessen C. , Cooper Douglas B.
Published: January 2025

Purpose:

The aim of this study was to describe the development of and pilot feasibility outcomes for a strategy-based, brief, intensive cognitive rehabilitation intervention delivered to U.S. service members and veterans with mild traumatic brain injury in a recently completed 3-year pragmatic clinical trial: Symptom-Targeted Approach to Rehabilitation for Concussion (STAR-C).

Method:

To develop STAR-C, we used the Rehabilitation Treatment Specification System to identify core elements and principles from a previous randomized clinical trial of cognitive rehabilitation, and incorporated principles of neuroplasticity (e.g., high-dose spaced practice of personally meaningful tasks), best clinical practices (e.g., client-centered goal setting), health psychology (e.g., a focus on self-efficacy and motivation), and community-based participation research (e.g., the protocol was co-designed by clinicians and researchers). Treatment was based on a resource-allocation theory of everyday cognitive challenges, which predicted that automatic strategy use would reduce cognitive demands of everyday activities and therefore reduce cognitive symptoms. Treatment was delivered by speech-language pathologists (SLPs) and occupational therapists (OTs), using a protocol that included a problem-focused intake questionnaire, manualized treatment, and clinician resources. Therapy was delivered individually in six to 10 virtual or in-person sessions over 3–4 weeks. Therapy focused on desired changes in function, scaled using Goal Attainment Scaling.

Results:

Trained SLPs and OTs delivered STAR-C to 53 U.S. service members and veterans, with treatment fidelity > 95%. Participants and clinicians rated STAR-C as acceptable, feasible, and appropriate, and most participants attained and maintained targets.

Conclusion:

STAR-C appears to be a feasible method for improving everyday cognitive performance and efficacy should be tested in a controlled study.

Supplemental Material:

https://doi.org/10.23641/asha.28222613
Distribution network clustering for reactive power planning and distributed voltage control
Authors: Hasanvand Saeed , Sobhani Hossein , Khooban Mohammad‐Hassan
Published: January 2025

According to the inherent characteristics of power systems, the voltage reduction is different in each part of power system. The voltage drop is directly proportional to the demand current and the total impedance between the source and the loads. Therefore, in distribution system voltage/VAr control is more important rather than transmission network, because of higher line R/X ratios rather than the transmission network and customers or end‐users receive power through a higher impedance and experience a larger voltage drop in distribution system. This work presents multistage optimal reactive power planning and clustering the distribution network to implement distributed voltage/VAr control approach. At first, reactive power planning to reduce active power losses and save costs has been investigated. According to the result of the first stage, the power system is clustered into some partitions using spectral clustering and reactive power weighted matrix. The optimal number of clusters has been evaluated and determined by four criteria and the clusters are defined by fuzzy c‐mean method which gives better vision about cluster boundaries. Finally, a sensitivity‐based approach has been used to determine the precise location of VAr resources and the results show that voltage/VAr control in a clustered distribution system has more acceptable outcomes rather than centralized voltage/VAr control in the whole distribution network.
Adoption of Startup Innovation Business: Bibliometric Analysis
Authors: Eko Restianto Yanuar , Krisnaresanti Aldila , Iskandar Dadang , Dinanti Aldila , Rifda Naufalin Lina , Chasanah Nur
Published: January 2025

This study identifies Brazil as the leading country in global publication frequency, followed by Indonesia in third place. The Proceedings of the European Conference on Innovation and Entrepreneurship (ECIE) is the most significant publication source, contributing three articles. The analysis spans from 2004, marking its initiation, to 2024, which records the highest annual scientific output with ten publications. The peak in average annual citations occurred in 2018, reflecting the impact of prior works. The findings highlight critical gaps in the existing literature and provide strategic guidance for future research. Motor themes, including sustainability, sustainable development, climate change, innovation, technology adoption, and business development, exhibit high levels of development (density) and relevance (centrality). These themes underscore the alignment of contemporary research with pressing global challenges, emphasizing their importance in addressing current and emerging discourses. This study contributes to the academic community by mapping research trends and identifying themes that warrant further exploration. By focusing on these highly relevant areas, future research can advance knowledge and address global challenges more effectively, fostering innovation and sustainable development.
Pregnant Women's Depression and Mental Health Knowledge
Authors: Latifah Lutfatul , Setiawati Nina , Kartikasari Aprilia , Amalia Reza Fajar , Susmarini Dian
Published: January 2025

Understanding maternal mental health is crucial for the prevention and management of antenatal depression. This study aimed to determine the level of mental health knowledge of pregnant women who experienced depressive symptoms. A cross-sectional study of 175 pregnant women, each with Edinburgh Postnatal Depression Scale (EPDS) scores ≥ 11, was collected using non-probability sampling techniques. Mental health knowledge was evaluated using the Mental Health Knowledge Scale (MHKS). Univariate and bivariate analyses determined the association among knowledge, antenatal depression, and participants' characteristics. The mean score of the MHKS was 14.08 out of 20 points (70.4%), and the standard deviation was 3.26. Spearman correlation analysis revealed a statistically significant association between the total knowledge score and the depression score (r=0.221, p=0.003). A Kruskal Wallis test indicated a relationship between the depression score and type of family (p=0.016), concerns about the cost of childbirth (p=0.005), history of depression (p=0.031), and gestational age (p=0.035). These results imply that the women with higher mental health knowledge were more likely to have higher EPDS scores. In conclusion, the findings indicate that women’s knowledge levels exhibit substantial variability. The improvement of mental health knowledge among pregnant women is essential for reducing the risk associated with depression.
Identifying Problems in Entrepreneurship Learning at Vocational High Schools: TPACK and Sustainable Development Goals Alignment
Authors: Krisnaresanti Aldila , Naufalin Lina Rifda , Rokhayati Hijroh , Fajrianto
Published: January 2025

This study aims to identify various problems faced in entrepreneurship learning and the expectations of teachers to improve the quality of education according to the needs and developments of the 21st century. The research method uses a qualitative approach involving entrepreneurship teachers in various departments and policymakers at the school level, namely the vice principal for curriculum. The research location is SMK N 1 Purwokerto, a school with complete fields of expertise in Purwokerto, so it is considered capable of answering the formulation of research problems. The purposive sampling method is used. The instruments used in collecting data include questionnaires that have been tested for validity and reliability and question guides used in interviews. The results of this study indicate that the main challenge in entrepreneurship learning in vocational high schools is teachers' need for mastery of Technological Pedagogical Content Knowledge (TPACK). Teachers need further training in the use of technology, especially digital marketing and e-commerce, and technology integration in learning strategies to prepare students to face the world of entrepreneurship in the digital era.
Poverty Analysis through Spiritual, Multidimensional and Monetary Material Approaches in Indonesia Rural Agricultural Area
Authors: Yunanto Ary , Dhani Laksana Rio , Purnomo Jati Dian
Published: January 2025

Banyumas Regency, Central Java, Indonesia Province, rated eighth out of all Indonesian regions in terms of poverty in 2023, despite an increase in the region's poverty rate. Low levels of education are the first step toward being unable to exploit and develop natural resources. A poor work ethic then eliminates low production. The study was carried out in the Banyumas district of Central Java Province, in a low-income area. In the first year, 200 poor people from the four Banyumas Regency subdistricts of Cilongok, Pekuncen, Wangon, Kedungbanteng, and Rawalo would be selected. Regional geography will be the basis for the selection procedure. Only poverty is impacted by informal credit, and that impact is favorable. This will enable the factors affecting the level of poverty in the area to be identified. The multinomial logit regression technique is an analytical tool used to fulfill the study goals. The findings of this study demonstrate that, in the instance of the Banyumas district region covered in this article, socioeconomic determinants do not necessarily have the same impact on multidimensional poverty or monetary poverty. Only in cases of severe poverty can official labor status have any significance. Regional topography alone has a significant impact on multidimensional poverty.
Comparison of Bureaucratic Neutrality in the 2019 and 2024 Elections From The Perspective of Online Mass Media in Achieving SDG 16 (Peace, Justice, and Strong Institutions)
Authors: Indiahono Dwiyanto , Rizky Pratama Bayu , Tobirin Tobirin , Rahmawati Titi , Azriah Thahrina
Published: January 2025

Bureaucratic neutrality is a value born from the same concern and respect in the public sphere in realising Peace, Justice, and Strong Institutions to achieve the Sustainable Development Goals (SDGs). The purpose of this article is to examine the issue of bureaucratic neutrality in local online mass media. The target of this research is the independent online voice, a reputable online mass media outlet in Central Java. The online independent vote was chosen because it has a national scope, provides the latest news related to socio-political discussions, narrates the government's steps and plans in preparing for the election, and visualises the policies the government prepared before the election. This study uses a content analysis approach. The study results show that in the 6 months before the 2024 election, Suara Merdeka Online reported 26 news. Meanwhile, in the 2019 elections, the online independent vote reported 40 news stories. In 2024, there is an average frequency of recurring main issues, namely neutrality, neutrality, and democracy posts, as well as guard bureaucratic neutrality. Meanwhile, in 2019, the dominance of content is a commitment to neutrality, securing elections, the threat of hoaxes and cyber, and the potential for election vulnerability.
Spatio-Temporal Analysis and Real-Time Air Quality Monitoring Using Historical Data and Laravel: A Decision Tree-Based Web GIS System
Authors: Kirana Annisa Puspa , Saleh Wildan Abdul Rachman , Sabilla Wilda Imama , Vista Candra Bella , Wakhidah Rokhimatul , Wijayaningrum Vivi Nur
Published: January 2025

This research presents the development of a Web GIS system using a Decision Tree algorithm to classify and map air pollution levels in the Jabodetabek region. The system integrates real-time air quality data from the AQICN API, focusing on key pollutants such as PM10, PM2.5, NO2, O3, and SO2. Through spatio-temporal analysis, it provides accurate visualizations of pollution levels, offering valuable insights into urban environmental health. The Decision Tree algorithm demonstrated high accuracy, with precision, recall, and F1-scores near 100% in cities like Jakarta, Bogor, Depok, and Bekasi. In Tangerang, where pollution varies, accuracy remained high. User Acceptance Testing showed an acceptance score of 86.75%, indicating reliability and strong user approval. These findings suggest that the system can effectively support air quality management and increase public awareness about environmental protection in Jabodetabek.
Expansion of Impervious Surface Area in Pekanbaru (1990–2018) and Predictions for 2038 Using Big Data
Authors: Wirawan Bayu Andrianto , Siregar Yusni Ikhwan , Sukendi Sukendi , Mulyadi Mulyadi
Published: January 2025

Climate change and biodiversity loss are two major ecological issues facing the world today, 25% of which are caused by land use change. The rate of development of the Pekanbaru City area has an impact on the phenomenon of Impervious Surface Area (ISA) growth that is inevitable in the suburbs. This situation can result in environmental degradation and unpreparedness of government officials so that the growth process leads to unsustainability. The development of spatial big data technology and high-performance cloud computing, the phenomenon of built-up land growth that occurs in Pekanbaru City can be studied further. By using programming carried out through the Google Earth Engine, the process of extracting the trend of built-up land growth in Pekanbaru City can be extracted quickly and presented in a multi-temporal. Through the polynomial regression modeling process with python, from the 1990-2018 data we can predict the area of built-up land in Pekanbaru City in 2038 is around 27985.139 hectares with r2 = 0.97. With accurate future predictions, we can take appropriate policies to handle urban growth sustainably.
Beschwerdemanagement in der Psychiatrie: zwischen Fluch und Segen?
Authors: Lühr Nina
Published: January 2025

Im hektischen Klinikalltag sind Beschwerden von Patient*innen allgegenwärtig, jedoch oft eine Herausforderung, der sich niemand gerne stellt. Sich mit Unzufriedenheiten und Kritik auseinanderzusetzen, stellt eine zusätzliche Last für das gesamte Personal dar. Doch jede Beschwerde birgt eine Chance zur Verbesserung – nicht nur der eigenen Arbeit, sondern auch der Qualität der Patient*innenversorgung. Wie können Pflegende und Einrichtungen adäquat auf Beschwerden reagieren und sie als wertvolle Rückmeldungen betrachten, ohne dass sich die Arbeitsbelastung weiter erhöht?
Bewältigungsstrategien zum Umgang mit Stimmenhören
Authors: Wenn Ulla
Published: January 2025

Für Menschen, die Stimmen hören, sind nichtmedikamentöse Bewältigungsstrategien sinnvoll und notwendig, um gut mit den Stimmen umgehen zu können und die durch das Stimmenhören hervorgerufenen Belastungen zu reduzieren. Hierbei ist es wichtig, dass die Betroffenen die für sie geeigneten Maßnahmen selbstständig in ihrem individuellen Umfeld umsetzen können. Anhand von zwei Fallbeispielen wird verdeutlicht, wie dies gelingen kann.
Nuclear relaxation induced by paramagnetic impurity at ultra-low temperatures
Authors: Sabirov R. Kh.
Published: January 2025

The mechanism of relaxation of nuclear spin oscillations due to interaction with a paramagnetic impurity, in which the spins of the nuclei and the impurity ion change orientation simultaneously, is considered. Electron spins are reoriented additionally due to electron spin–spin interaction. Physical reasons for the inclusion of this relaxation mechanism at very low temperatures are indicated. A general expression for the direct nuclear relaxation rate is derived taking into account the relaxation mechanism under investigation. The efficiency of this mechanism is estimated numerically. It is shown that this mechanism can dominate at ultra-low temperatures. Under these conditions, the relaxation rate does not depend on temperature.
Acoustoelectronic phenomena in low-dimensional conductors in a magnetic field
Authors: Galbova O. , Ivanovski G. , Kirichenko O. V. , Peschanskiĭ V. G.
Published: January 2025

Attenuation of acoustic waves in layered conductors with a quasi-two-dimensional electron energy spectrum is investigated theoretically in a magnetic field such that the radius of curvature of the charge carrier trajectory is much smaller than the mean free path, but considerably larger than the acoustic wavelength. It is shown that under these conditions acoustic transparency is observed along the layers for certain values of the magnetic field orthogonal to the acoustic wave vector. The role of the Fermi-liquid interaction between conduction electrons in magnetoacoustic effects typical of quasi-two-dimensional conductors is considered.
On transport parameters of a mesoscopic crystal with impurities at potential barriers
Authors: Korol’ A. N.
Published: January 2025

A one-dimensional ballistic superlattice (mesoscopic crystal) containing impurity centers at potential barriers is considered. The dependence of the transmission coefficient T on the energy ε is evaluated for this structure in the effective mass approximation. It is shown that scatterers are responsible for an increase in T by several orders of magnitude, a significant shift of resonant peaks, and the reappearance (at certain energies) of the plateau on the T(ε) dependence, which is typical of the case V=0 (V is the barrier height). The possibility of varying the energy spectra of the mesoscopic crystal over a wide range is thus demonstrated.
Transition from the amorphous to crystalline phase in N2O
Authors: Krainyukova N. V. , Strzhemechny M. A. , Drobyshev A. S.
Published: January 2025

Transmission electron-diffraction studies are carried out on N2 O films grown at temperatures 11–18 K and heated slowly to 45 K. The available structural data make it possible to identify the abrupt change in the intramolecular reflection bands observed earlier for N2O films (A. S. Drobyshev et al., Fiz. Nizk. Temp. 20, 600 (1994) [Low Temp. Phys. 20, 475 (1994)]) as a crystallization transformation in which the amorphous component (whose existence at low temperatures is an anomaly exhibited only by N2O cryocrystals; N. V. Krainyukova and M. A. Strzhemechny, Fiz. Nizk. Temp. 21, 1254 (1995) [Low Temp. Phys. 22, 960 (1995)]) loses its metastability near 39–42 K and is transformed into the Pa3 structure as a result of rapid crystallization.
On the nature of superconductivity of Be films
Authors: Tutov V. I. , Semenenko E. E.
Published: January 2025

The dependence of the superconducting transition temperature Tc of quench-condensed cold-deposited Be films on the electron density of states N(0) is studied. The dependence differs essentially from the one obtained theoretically from the BCS formula for the α-Be phase. The experimental and theoretical TC[N(0)] curves intersect at the point Tc=9.5 K and N(0)= 11·1021 state·eV−1·cm−3·spin−1· The maximum value of Tc of the metastable phase (MP) is 10.5 K. The value of Tc of the MP is two orders of magnitude higher than the corresponding value for the α-Be phase even when N(0) of the MP is half the value of this quantity for the α-Be phase. This is an additional evidence of the fact that superconductivity of the MP is determined not by an increased value of N(0) of the α-Be phase, but by other factors including the MP formation in a phase that differs significantly from the α-Be phase.
Impedance properties and microwave magnetic field dependence of surface resistance of YBaCuO
Authors: Velichko A. V. , Cherpak N. T. , Izhyk E. V. , Kirichenko A. Ya. , Chukanova I. N. , Zagoskin V. T.
Published: January 2025

The microwave magnetic field Hω dependence of the surface resistance Rs for a YBa2Cu3O7–δ ceramic and thin film has been studied in 8 mm wave band. It is shown that for the film one of mechanisms consistent with the obtained dependence Rs(Hω) may be microwave-induced flux motion. For the ceramic specimen, the above dependence is in agreement with the model of Sridhar for the nonlinear high-frequency response of a planer superconductor in a current-induced critical state and with Gurevich’s theory of the nonlinear dynamics of vortices in high-Jc overdamped Josephson contacts. An approach was applied which allows us to perform measurements without preliminary patterning of the samples.
Modern state-of-the-art in optical spectroscopy of HTS materials
Authors: Fugol I. Ya. , Samovarov V. N.
Published: January 2025

Basic problems of optical spectroscopy of YBaCuO films associated with manifestations of strong correlations of electron states, electron-structure instability, and temperature-induced redistribution of charges between localized and delocalized states are discussed. It is shown that absorption spectra in visible and infrared ranges are sensitive to the emergence of superconductivity and indicate the presence of boson and fermion fractions in the superconducting condensate.
Hall effect in layered superconductors in a tilted magnetic field
Authors: Meilikhov E. Z. , Farzetdinova R. M.
Published: January 2025

Angular dependences of the resistivity tensor components are calculated for layered superconductors in a tilted magnetic field on the basis of the models of “rigid” vortices with a stepped configuration (the kink–string model) and of the three-dimensional anisotropic medium (scaling model), which take into account the percolation nature of motion in a medium with a nonuniform pinning. A comparison of the results of numerical calculations with experiments on Hall effect in a YBa2Cu3O7 single crystal at T ≃ 84 K in tilted fields up to 10 T speaks in favor of the first model.