bluuebunny/crossref_metadata_2025 huggingface dataset:
Recent Patents on Pipeline Detection and Cleaning Electronic Devices
Authors: Cheng zhuo , Li Lie , Xia Youtao , Liu Jiangnan , Yang Daolong
Published: January 2025

This paper provides an overview of the most recent advancements in pipeline inspection
and cleaning technology over the past five years, drawing insights from patents and scholarly
papers. It primarily focuses on three types of devices: long-distance pipeline inspection robots,
small-diameter underground pipeline cleaning robots, and magnetic suction wall-climbing robots.

A pipeline robot is a robot specifically designed to inspect, maintain and repair pipelines. With the
continuous development and expansion of pipeline systems, today's pipelines have become an
integral part of urban infrastructure. However, because pipelines are often located underground or
in other hard-to-reach places, traditional inspection and maintenance methods become very difficult
and expensive. Therefore, it is important to research and develop pipeline robots that can improve
the safety, reliability and efficiency of pipeline systems by inspecting, cleaning, overhauling
and even repairing pipelines.

Devices need to be developed to clean the inner wall of pipelines from scale buildup and detect
pipeline damage. This would improve conveyance efficiency and prolong the life of the pipeline.
The pipeline cleaning robot cleans the pipeline scaling, removes pipeline deposits, and effectively
solves the problem of low pipeline conveying efficiency or pipeline clogging; the pipeline inspection
robot inspects the pipeline after the pipeline cleaning robot cleans the pipeline, detects whether
there is any damage to the pipeline, and reduces the probability of pipeline conveying pipeline
breakage.

Pipeline robots can be transformed according to the parameters of the pipeline, adapting to different
types of pipelines, and can effectively solve the problem of low pipeline conveying efficiency
or pipeline clogging; pipeline inspection robots can detect the existence of pipeline damage in a
timely manner, and can improve the reliability of pipeline conveying.

The above technology improves the life span of pipes in pipeline transportation, improves the efficiency
of pipeline transportation, solves the problem of pipeline clogging, and guarantees the
reliability of pipeline transportation.
Recent Emergence and Integration of Blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) and their Future Directions
Authors: Tuteja Shikha , Sharma Mehak , Sharma Aditya , Tonk Ravinder
Published: January 2025

Over the span of thirty years, there has emerged a rapid advancement in technology,
which has led to the advancement of artificial intelligence, blockchain technology, and the internet
of connected things. In addition to each of these technologies making a major contribution, these
technologies combined have produced a wide range of advanced applications across several fields.
The revolutions of blockchain, AI, and IoT offer amazing advantages for transparency, stability,
security, privacy, and the automation of corporate processes. While none of the three approaches
or any one of them is a magic bullet for using data or data-driven frugalness, they are all themes
with exhilarating promise. If these three components are related and entwined, they may accomplish
a great deal. They can come together to form more effective future hints. In the medical and
smart city domains, we have demonstrated in this article how blockchain, IoT, and AI operate
separately, in pairs, and synchronously with one another. Artificial intelligence (AI) and blockchain
have established themselves as some of the most prominent and disruptive technologies in
recent years. Blockchain technology has the capacity to automate Bitcoin payments while also
providing access to an accessible database of information data and transactions in a trustworthy
manner.
A Novel Fault Location Method Based on ICEEMDAN-NTEO and Ghost-Asf-YOLOv8
Authors: Ding Can , Jiang Changhua , Wang Fei , Ma Pengcheng
Published: January 2025

Background:

The rapid growth of distribution grids and the increase in load demand
have made distribution grids play a crucial role in urban development. However, distribution networks
are prone to failures due to multiple events. These faults not only incur high maintenance
costs, but also result in reduced productivity as well as huge economic losses. Therefore, accurate
and fast fault localization methods are very important for the safe and stable operation of distribution
systems.

Methods:

Firstly, the Ghost-Asf-YOLOv8 network is employed to assess the three-phase fault
voltage travelling waveforms at both ends of the line, determine the temporal range of the fault
occurrence, and differentiate its line mode components. Subsequently, the ICCEMDAN algorithm
is employed to decompose the line mode components, thereby yielding the IMF1 components.
The key feature information is then enhanced through the application of NTEO. Finally, the
Ghost-Asf-YOLOv8 network is employed to further narrow down the time range of the initial
traveling wave head, thereby enabling the calculation of the fault location and the determination of
the traveling wave arrival time.

Results:

Experiments are conducted based on the simulation data of the constructed hybrid line
model, and the comparison experiments between the TEO algorithm and the NTEO algorithm
are conducted, which show that the NTEO has good noise immunity when applied to fault localization.
In addition, the proposed ICCEMDAN-NTEO method is also compared with the
fault localization methods based on DWT and HHT, and the results show that the method has
high accuracy. Finally, the light weighted YOLOv8 model captures the traveling wave time
quickly and accurately to compensate for the shortcomings of the visualization data.

Conclusion:

This work presents a novel fault localization method that integrates traditional and
artificial intelligence techniques, offering rapid detection and minimal localization error.
Stability Analysis of Direct-Drive Wind Turbines Connected To Weak Grid Using Linear Immunity Impedance Modeling
Authors: Ding Can , Yang Houjun , Shi Yudong , Ji Ying Bo
Published: January 2025

Background:

With the direct-drive wind turbine connected to the weak grid, subsynchronous
oscillation (SSO) problems occur frequently. The use of traditional control strategies to
inhibit it has a poor effect and will seriously threaten the stability of system operation.

Methods:

This paper initially analyzes the factors that give rise to subsynchronous oscillation
(SSO) based on the established sequential impedance model for direct-drive wind power grid connection.
Through impedance sensitivity analysis of the control parameters, it is found that the proportional
gain of the current loop and that of the phase-locked loop are the dominant factors generating
the risk of SSO. Secondly, considering that Linear Active Disturbance Rejection Control
(LADRC) has a faster response speed and stronger anti-disturbance ability compared with the traditional
Proportional Integral (PI) control, this paper replaces the phase-locked loop and currentloop
PI control with the self-resistant controller. The second-order extended state observer is employed
to perform real-time estimation and compensation of system perturbations.

Results:

After performing simulation and frequency domain analysis on the MATLAB/Simulink
platform, it is found that compared with traditional PI control and voltage feedforward control
strategies, the direct-drive wind power grid-connected system using LADRC control can effectively
suppress oscillations under different weak grids and possess better robustness.

Conclusion:

The direct-drive wind power grid-connected system equipped with LADRC control
can effectively suppress oscillations under different weak grid conditions and shows good robustness.
(XAI-AGUWEM) Explainable Artificial Intelligence-based Attention
Guided Uncertainty Weighting Ensemble Model for the Classification of
COVID-19 and Pneumonia in X-ray Medical Images
Authors: Agnihotri Abhishek , kohli Narendra
Published: January 2025

Introduction:

The medical field can utilize radiological images with deep learning
techniques to diagnose disease more accurately, enabling the diagnosis and classification of a variety
of illnesses. In the domain of learning and machine vision, identifying COVID-19 from Xray
images is a developing area. Since the onset of COVID-19, significant work has been performed,
yet some issues remain in this field.

Method:

Firstly, there are limited X-ray scans readily available that are classified as COVID-19
positive, resulting in an unbalanced dataset. Secondly, there is no single set of data, classes, or
evaluation protocols for all the work performed. This study proposes a three-class balanced dataset
based on two validated publicly available datasets. Deep Convolutional neural networks have
the potential to operate with both wide breadth and wide depth, which could raise computing
complexity. Additionally, to deal with this issue, an attention-guided ensemble model (AGEM) is
proposed to classify normal, pneumonia, and COVID-19 images. First, we propose an Attention
Guided-Convolutional Neural Network (AG-CNN) architecture based on transfer learning. We
used three pre-trained models i.e., InceptionV3, DenseNet121, and MobileNetV2, as the basis for
the proposed AG-CNN, resulting in three attention-guided network architectures i.e., AGInceptionV3,
AG-DenseNet121, and AG-MobileNetV2. Then, we used entropy computation and
an uncertainty-based weighting ensemble to classify the images into three classes.

Result:

The performance was evaluated and compared with existing works and 7 pre-trained models
i.e., ResNet50, InceptionV3, VGG-16, VGG-19, Densenet-201, Xception, MobileNetV2, on
our three-class dataset. An accuracy of 97.35%, recall of 97.35%, specificity of 98.67%, precision
of 97.35%, and F1-score of 97.35% demonstrate the superiority of our proposed attention-guided
ensemble model over pre-trained models and other existing studies.

Conclusion:

It is noteworthy that for additional analysis, we utilized Grad-CAM or gradientweighted
Class Activation Mapping.
Multi-objective Optimization of Fractional-Slot Surface-Mounted Permanent Magnet Motor for Flywheel Battery
Authors: Jiang Xinjian , Zhang Lei , Li Fuwang , Zhao Zhenghui
Published: January 2025

Background:

With the continuous development of permanent magnet synchronous
motors (PMSM) and the increasing demand for the application of flywheel battery, the requirements
for PMSMs are also increasing.

Methods:

A multi-objective genetic algorithm is used to solve the optimal design solution

Results:

Multi-objective genetic algorithm is fast and accurate in calculation results, and it is
easy to obtain the optimal solution. The results show that the cogging torque is reduced by
23.6%, the torque ripple is reduced by 25%, and the average torque is increased by 1.2%.

Conclusion:

A multi-objective optimization design was conducted on a surface-mounted PMSM.
Firstly, the sensitivity of different optimization variables was calculated. The high-sensitivity parameters
were selected as the final optimization variables. The response surface between the optimization
variables and the optimization objectives was calculated. The genetic algorithm was
used to solve the optimal design solution. The effectiveness of the optimization results was verified
by the combination of finite element simulation and experimental tests.
Bridging the Gap: Revolutionizing Sumatriptan Succinate Delivery with Novel Mucoadhesive Polymer Possessing Dual Functionality
Authors: Marwaha Tejinder K , Madgulkar Ashwini , Bhalekar Mangesh
Published: January 2025

Aim:

This research endeavors to investigate the multi-faceted characteristics of chitosan-
2-mercapto benzoic acid polymer and to provide empirical evidence supporting its suitability
as a carrier for mucosal drug delivery applications.

Background:

Recent advancements in the development of mucoadhesive polymers have enabled
the enhancement of gastrointestinal (GI) residence time and controlled release profiles for various
dosage forms. In this study, a novel chitosan derivative, chitosan-2-mercapto benzoic acid,
was used as a mucoadhesive polymer to formulate a sustained-release dosage form designed to
improve the oral bioavailability of sumatriptan succinate, a therapeutically relevant compound.

Objective:

Sumatriptan succinate, a widely used antimigraine agent, exhibits limited therapeutic
efficacy due to its compromised oral bioavailability (15%) and significant first-pass metabolism.
To overcome these limitations, this study aimed to improve the oral bioavailability and permeability
of sumatriptan succinate by exploiting a novel polymer-based formulation. In this investigation,
a mucoadhesive buccal patch consisting of dual functionalized thiomer was designed,
which delivered the medication throughout the requisite duration, preventing first-pass metabolism
to the extent possible.

Methods:

A novel mucoadhesive buccal patch was designed for the systemic delivery of sumatriptan
succinate via the buccal route, utilizing a novel dual-functionalized thiolated mucoadhesive
polysaccharide polymer, chitosan-2-mercaptobenzoic acid. Formulations were developed
by solvent evaporation technique and optimized using a 33 Box Behnken design with HPMC
E15, chitosan, and propylene glycol concentrations as variables and their effect on drug release
and mucoadhesive strength was studied.

Results:

FTIR and DSC analysis did not show any interaction between the drug and polymers.
When compared to the drug, the thiomer patch and chitosan patch improved drug permeation by
2.5 and 1.3 times, respectively. Mucoadhesion and pharmacokinetic studies showed that thiomer
containing buccal patch administration resulted in two-fold increased levels as compared to chitosan
patch. The AUC0–5h in buccal therapy with thiomer was nearly equivalent to two-fold
greater than the control, with a relative bioavailability of 282.47 percent.

Conclusions:

Thus, we can conclude that this study confirms the possibility of buccal patch as a
viable and alternative form of effective sumatriptan succinate delivery rendering it a novel approach
in pharmaceutical delivery systems for migraine treatment.
Blockchain-Powered Monitoring of Healthcare Credentials through Blockchain-Based Technology
Authors: Rahul Joshi  , Shashi Kant Gupta  , Rajesh Natarajan  , Krishna Pandey  , Suman Kumari
Published: January 2025

The healthcare industry is using the Internet of Things (IoT) extensively.
The healthcare sector manages sensitive information, including an individual’s medical
history, blood pressure, and other relevant data. Consequently, the technologies used in
this domain are becoming more susceptible to attacks because of their heightened
sensitivity. Therefore, it is essential to protect the data. Blockchain technology has been
shown to provide substantial benefits in achieving this goal. Incorporating blockchain
technology into IoT devices has yielded substantial benefits, thanks to notable technical
progress. This chapter thoroughly examines the characteristics of blockchain
technology that enhance its efficiency in managing sensitive data and ensuring data
security and privacy. Furthermore, this chapter systematically explains the region’s
many security obstacles and how blockchain technology might successfully overcome
them. The study’s results indicate that future research should explore how gender, age,
and knowledge of blockchains affect the adoption of blockchain technology in
innovative healthcare systems. An alternate field of research involves evaluating the
many elements that influence the adoption of the technology known as blockchain.
AI-Assisted Crop Management Using the LSTM Model in Smart Farming
Authors: Prabakaran Natarajan  , Abhijai Rajawat  , Akshat Chaube  , Anshul Mahlavat  , Ramanathan Lakshmanan
Published: January 2025

The use of information and communication technologies in agriculture to
increase productivity, efficiency, and sustainability is known as smart farming. The
implementation of predictive analytics and data-driven insights in smart farming
enhances the effectiveness of agricultural systems as a whole, decision-making
processes, and resource allocation. This study compares the use of the algorithms long
short-term memory (LSTM), support vector machine (SVM), deep belief network,
Naive Bayes, artificial neural network (ANN), and gated recurrent unit (GRU) in
optimizing agricultural operations. The study highlights how using LSTM in smart
farming has the ability to transform traditional agricultural methods, resulting in
sustainable, higher-yield output while minimizing resource loss and environmental
impact. Smart farming has emerged as a new approach for modernizing and optimizing
agricultural practices through the integration of cutting-edge technology, with a focus
on machine learning in particular. Various algorithms were applied to this dataset,
producing measurable results like accuracy, loss, correct detection rate (CDR), and
false discovery rate (FDR). Through an extensive comparative study, it was identified
that the long short-term memory (LSTM) algorithm was the most promising choice for
the dataset. Following the application of machine learning algorithms on different
training to test splits like 80-20, 70-30, 65-35, 60-40, and 55-45, it was found that
LSTM has the best accuracy on average, ranging from 95% to 98%. The exploration of
LSTM demonstrated its potential to significantly enhance decision-making processes
for farmers and researchers, ultimately improving agricultural efficiency and outcomes.
Reaction to Abnormal Protein Precipitation in the Brain
Authors: Wang Gaiqing , Chen Haiyun , Yang Juan , Wang Jing , Yan Bo , Chen Minglei
Published: January 2025

The response to abnormal protein deposits in the brain involves a complex
interaction among various components of the immune system. Initially, the immune
response aims to clear the protein aggregates. However, in neurodegenerative diseases,
chronic inflammation and immune dysregulation can occur, leading to additional
damage.
The Regulatory Mechanism Targeting Microglia
Authors: Wang Gaiqing , Chen Haiyun , Yang Juan , Wang Jing , Yan Bo , Chen Minglei
Published: January 2025

Microglia are vital immune cells in the central nervous system (CNS)
responsible for maintaining brain balance and responding to injuries or infections. They
are regulated by a variety of mechanisms involving interactions with different signaling
molecules and cell types within the CNS. Ensuring proper regulation of microglial
activity is essential for preserving brain health and preventing the onset of
neuroinflammatory and neurodegenerative disorders.
Causas de la militarización de las emergencias civiles
Authors: Martínez Rafael , Bueno Alberto
Published: January 2025

La implicación de las fuerzas armadas en la respuesta a emergencias civiles se ha normalizado en todo el mundo, tanto en Estados democráticos como autoritarios. Son misiones que se alejan de las responsabilidades clásicas de disuasión y defensa debido a: la redefinición de funciones de los ejércitos, el pragmatismo de las políticas de seguridad, la reevaluación de riegos y amenazas, así como a dinámicas de securitización. Todo ello ha supuesto la creación o expansión de marcos legales y doctrinas militares, o el establecimiento de unidades especializadas. Pese a su relevancia, ha sido un fenómeno poco estudiado y teorizado desde las relaciones civiles-militares. Por ello, este artículo asume una perspectiva teórica y, a partir de un enfoque de investigación inductivo, propone cuatro causas que explican la militarización de las emergencias civiles.
The armed forces role in emergencies in Brazil
Authors: Janot Mariana da Gama , Succi-Junior David Paulo , Soares Samuel Alves
Published: January 2025

In this article, we analyze the role of the Brazilian armed forces in emergencies based on discussions about the securitization of development and militarization. We argue that the military response to emergencies is a process strongly characterized by the conservative history of the organization, assimilating humanitarian actions and activities directed at the population within conceptions of the use of force concerned with internal order. We analyze contemporary legislation and the Army's doctrinal production on civic-social activities, support for civil defense, and disaster assistance. We consider this to be a sui generis process of militarization in the context of military action in emergencies because although certain climatic events are less common in Brazil, we observe that these activities have been part of a broader set of militarization in the country.
El rol de las Fuerzas Armadas del Perú en caso de desastres naturales
Authors: Novak-Talavera Fabián
Published: January 2025

Con base en un método analítico-deductivo, este artículo pretende identificar cuál es el rol que histórica y actualmente desempeñan las Fuerzas Armadas del Perú ante los desastres naturales. Con este objetivo, se evalúan las características de esta participación, su marco jurídico constitucional, su evolución de un rol auxiliar a un rol principal y se analizan algunos eventos de este tipo en los que las Fuerzas Armadas han intervenido. Luego de esto se establecen las capacidades institucionales con las que se cuenta, los roles asignados, sus ventajas y riesgos, así como el modelo de fuerza armada bajo el cual se desarrolla esta participación. Se concluye con un conjunto de recomendaciones y propuestas para que esta participación sea eficaz, oportuna y no afecte los demás roles de las Fuerzas Armadas ni las instituciones democráticas.
Correlation Between Objective Habit Metrics and Objective Medication Adherence: Retrospective Study of 15,818 Participants From Clinical Studies
Authors: Pironet Antoine , Phillips L Alison , Vrijens Bernard
Published: January 2025

Background

Medication adherence, or how patients take their medication as prescribed, is suboptimal worldwide. Improving medication-taking habit might be an effective way to improve medication adherence. However, habit is difficult to quantify, and conventional habit metrics are self-reported, with recognized limitations. Recently, several objective habit metrics have been proposed, based on objective medication-taking data.

Objective

We aim to explore the correlation between objective habit metrics and objective medication adherence on a large dataset.

Methods

The Medication Event Monitoring System Adherence Knowledge Center, a database of anonymized electronic medication intake data from ambulant participants enrolled in past clinical studies, was used as the data source. Electronic medication intake data from participants following a once-daily regimen and monitored for 14 days or more were used. Further, two objective habit metrics were computed from each participant’s medication intake history: (1) SD of the hour of intake, representing daily variability in the timing of medication intakes, and (2) weekly cross-correlation, representing weekly consistency in the timing of medication intakes. The implementation component of medication adherence was quantified using (1) the proportion of doses taken and (2) the proportion of correct days.

Results

A total of 15,818 participants met the criteria. These participants took part in 108 clinical studies mainly focused on treatments for hypertension (n=4737, 30%) and osteoporosis (n=3353, 21%). The SD of the hour of intake was significantly negatively correlated with the 2 objective adherence metrics: proportion of correct days (Spearman correlation coefficient, ρS=–0.62, P<.001) and proportion of doses taken (ρS=–0.09, P<.001). The weekly cross-correlation was significantly positively correlated with the 2 objective adherence metrics: proportion of correct days (ρS=0.55, P<.001) and proportion of doses taken (ρS=0.32, P<.001). A lower daily or weekly variability in the timing of medication intakes is thus associated with better medication adherence. However, no variability is not the norm, as only 3.6% of participants have 95% of their intakes in a 1-hour window. Among the numerous factors influencing medication adherence, habit strength is an important one as it explains over 30% of the variance in medication adherence.

Conclusions

Objective habit metrics are correlated to objective medication adherence. Such objective habit metrics can be used to monitor patients and identify those who may benefit from habit-building support.
Exploring the Users’ Perspective of the Nationwide Self-Exclusion Service for Gambling Disorder, “Spelpaus”: Qualitative Interview Study
Authors: Tjernberg Johanna , Helgesson Sara , Håkansson Anders , Hansson Helena
Published: January 2025

Background

Problem gambling and gambling disorder cause severe social, psychiatric, and financial consequences, and voluntary self-exclusion is a common harm reduction tool used by individuals with gambling problems.

Objective

The aim of this study was to explore users’ experience of a novel nationwide, multioperator gambling self-exclusion service, “Spelpaus,” in Sweden and to inform stakeholders and policy makers in order to improve harm reduction tools against gambling problems.

Methods

Semistructured interviews were conducted with 15 individuals who reported self-perceived gambling problems and who had experience of having used the self-exclusion service Spelpaus in Sweden. Interviews were transcribed and analyzed through qualitative content analysis.

Results

We identified 3 categories and 8 subcategories. The categories were (1) reasons for the decision to self-exclude, (2) positive experiences, and (3) suggestions for improvement. The subcategories identified a number of reasons for self-exclusion, such as financial reasons and family reasons, and positive experiences described as a relief from gambling; in addition, important suggestions for improvement were cited, such as a more gradual return to gambling post–self-exclusion, better ways to address loopholes in the system, and transfer from self-exclusion to treatment.

Conclusions

Voluntary self-exclusion from gambling, using a nationwide multioperator service, remains an appreciated harm-reducing tool. However, transfer from self-exclusion to treatment should be facilitated by policy making, and loopholes allowing for breaching of the self-exclusion need to be counteracted.
Factors Promoting Engagement with Conversational Agents in Mental Health Therapy: The Role of Epistemic Trust, Personality, and Fear of Intimacy. A cross-sectional web survey. (Preprint)
Authors: Di Basilio Daniela , Guglielmucci Fanny
Published: January 2025

BACKGROUND

The utilisation of conversational agents (CAs) in mental health therapy is gaining traction due to their accessibility, anonymity, and nonjudgmental nature. However, understanding the psychological factors driving preferences for CA-based therapy remains critical to ensure ethical and effective application. Variables such as epistemic trust, attachment styles, personality traits, and fear of intimacy appear central in shaping attitudes toward these AI-driven interventions.

OBJECTIVE

This study aimed to investigate the psychological determinants influencing individuals’ willingness to engage with CA-based therapy, focusing on epistemic trust, attachment styles, personality traits, and fear of intimacy.

METHODS

An online survey was administered to 876 students enrolled in a master's program in psychology, yielding 736 responses (84.01% response rate). After excluding one outlier, the final sample included 735 participants (mean age = 27.69, SD = 12.31; 25.98% males). Variables measured included epistemic trust (ETCMQ, Cronbach’s α = 0.95), attachment styles (RQ, α = 0.97), personality traits (PID-5-BF, α = 0.87), and fear of intimacy (FIS-HP, α = 0.94). A five-point ordinal scale assessed willingness to engage in CA-based therapy. The data were analysed using ordinal logistic regression models, including Proportional Odds Models (POM), Non-Proportional Odds Models (NPOM), and Partial Proportional Odds Models (PPOM), with residual deviance used to compare model fit.

RESULTS

The PPOM provided the best fit (residual deviance = 3530.472) compared to NPOM (6244.009). Epistemic trust significantly increased willingness to engage with CA-based therapy across all levels (OR = 1.745, p < 0.0001). Fear of sharing exhibited a non-uniform effect, with greater fear correlating with higher willingness at advanced thresholds (OR = 1.086, p = 0.001). Personality traits, particularly detachment (OR = 0.95, p = 0.001) and psychoticism (OR = 1.12, p = 0.003), were significant predictors, as were relational factors such as being single (OR = 3.717, p < 0.0001). Attachment patterns showed nuanced effects, with fearful-avoidant styles less likely to prefer human interactions (p = 0.34).

CONCLUSIONS

Epistemic trust and fear of intimacy emerged as pivotal factors influencing preferences for CA-based therapy, underscoring the role of interpersonal dynamics and emotional vulnerabilities. The findings suggest that individuals with avoidant attachment styles or maladaptive personality traits are more inclined toward AI-mediated interventions, driven by reduced fear of judgment and increased perceived safety. These insights highlight the need for ethical considerations and personalised approaches in deploying CA-based mental health tools to balance user reliance with human-centric therapeutic values.

CLINICALTRIAL

Not applicable.
Digital Wellness Programs in the Workplace: A Scoping Meta-review (Preprint)
Authors: Amirabdolahian Saeed , Pare Guy , Tams Stefan
Published: January 2025

BACKGROUND

Corporate wellness programs are increasingly utilizing digital technologies to promote employee health. Digital wellness programs (DWPs) refer to initiatives that deliver health interventions through digital tools. Despite a growing body of evidence on DWPs, the literature remains fragmented across multiple domains and disciplines.

OBJECTIVE

This study aims to provide a comprehensive synthesis of existing research on the efficacy and acceptability of DWPs targeting employees. Specifically, we aim to map the extent, range, and nature of research on this topic, summarize key findings, identify gaps, and facilitate knowledge dissemination.

METHODS

We conducted a scoping meta-review of studies published between January 2000 and December 2023. Inclusion criteria consisted of (1) review articles; (2) publications in English, French, or German; (3) studies reporting on digital health interventions implemented in organizations; and (4) studies reporting on non-clinical or pre-clinical employee populations. We performed a descriptive numerical summary and thematic analysis of the included studies.

RESULTS

Out of 593 non-duplicate studies screened, 29 met the inclusion criteria. The most investigated health domains included mental health (n=19), physical activity (n=8), weight management (n=6), unhealthy behavior change (n=4), and sleep management (n=2). Twenty-four reviews focused on the efficacy of DWPs, primarily in relation to health-related outcomes (eg, stress, weight), while fewer addressed organization-related outcomes (eg, burnout, absenteeism). Four reviews explored the mechanisms of action, and three assessed the acceptability of DWPs using various measures. Overall, the findings support the efficacy and acceptability of DWPs, though significant gaps persist, particularly regarding the durability of outcomes, the role of technology, and the causal mechanisms underlying behavior change.

CONCLUSIONS

While DWPs show promise across a variety of health domains, several aspects of their effectiveness remain underexplored. Organizational practitioners should capitalize on existing evidence of successful DWPs while acknowledging the limitations in the literature.
Factors Related to Herbal Medicine Use in Breastfeeding Mothers in Klaten Regency, Indonesia
Authors: Sayuti Nutrisia Aquariushinta , Atikah Nur
Published: January 2025

Background: The diverse plant diversity promotes herbal medicine use for breastfeeding mothers in Klaten to promote postpartum health and breast milk production. However, factors related to herbal medicine use have not yet been studied.Objectives: The study aimed to identify factors related to herbal medicine use among breastfeeding mothers in the Klaten Regency.Methods: The study used a structured survey questionnaire in a cross-sectional approach. Survey participants were recruited from community health centers in Klaten. The survey instrument was validated questionnaires that consisted of predisposing, supporting, and need factors. Logistic regression analyzed factors related to herbal medicine used in breastfeeding mothers.Results: The survey of 111 breastfeeding mothers in Klaten Regency found that 78.40% of respondents used herbal medicine, with most aged 20-35. The most perceived health status of the mother and breastfed child was healthy. Most respondents agreed that herbal medicine was safer and more effective than conventional medicine. The logistical regression revealed that breast milk flow issues (p-value = 0.000) and the belief that herbs are more effective than chemical medications (p-value = 0.008) significantly influence the use of herbal medicine.Conclusion: The study concluded that the significant factors related to herbal medication use were breast milk's smoothness and the belief that herbal medicine is more efficacious than conventional medicine. The belief is often shaped by social culture and family experiences, leading to the possibility of incorrect information. Health professionals are crucial in providing information about herbal medicine and recommending its use to promote health and prevent health problems.
Evaluation of Antibiotic Use in the Internal Medicine Ward and ICU at Universitas Tanjungpura Hospital Pontianak with ATC/DDD
Authors: Rifdah Dzuria Adhana , Ih Hariyanto , Liana Delima Fajar , Mardhia Mardhia , Mahyarudin Mahyarudin
Published: January 2025

Background: Evaluating the wise use of antibiotics is needed to control antibiotic resistance in hospitals.Objectives: This study aimed to analyze patient characteristics, antibiotic profiles, and quantitative use of antibiotics in inpatients prescribed by internal medicine specialists in the internal medicine ward and Intensive Care Unit (ICU) at Universitas Tanjungpura Hospital Pontianak from August to October 2022.Methods: This study method is descriptive observational, and data collection was done retrospectively using a purposive sampling technique. There were 143 samples that met the inclusion criteria, and then using the Anatomical Therapeutic Chemical (ATC)/Defined Daily Dose (DDD) method, the samples were analyzed quantitatively.Results: Most patient characteristics were female patients (60.14%), patients aged 56-65 (26.57%), and the most common diagnosis was typhoid fever (32.74%). Of the 13 types of antibiotics used, cephalosporin was the most commonly prescribed antibiotic group to patients (58.48%), with the most types of antibiotics in ceftriaxone (42,69%) and intravenous administration of antibiotics was the standard route given to patients. The results of the quantitative analysis of all antibiotic prescriptions obtained a total value of 88.55 DDD/100 patient-days. Antibiotics with the most considerable DDD/100 patient-days value were ceftriaxone (44.71), followed by meropenem (10.46) and levofloxacin (9.28). Furthermore, the value of DDD/100 patient-days is not an indicator in determining the rational use of antibiotics, so further study must be done using the Gyssens method.Conclusion: The value of DDD/100 patient-days is not an indicator in determining the rational use of antibiotics, so further study must be done using the Gyssens method as qualitative evaluation to obtain information regarding the rationality of prescribing antibiotics.
Evaluation of Blood Supplement Tablet Distribution at Community Health Centers (Puskesmas) in Sleman Regency
Authors: Candra Sari Veronika Yuni , Puspandari Dyah Ayu , Widayanti Anna Wahyuni
Published: January 2025

Background: Anemia is a condition often found in adolescent girls and pregnant women in developing countries. The government has made efforts to reduce cases of anemia through a program that provides blood supplement tablets to teenage girls and pregnant women. However, the distribution coverage in Sleman is still 85%.Objectives: This study aimed to determine how to distribute blood supplement tablets from the community health center.Methods: This research used a qualitative approach, data collection techniques with interviews, and observation of the document distribution process in 2022. The study was conducted using purposive sampling, and 35 respondents were health workers, teachers, pregnant women, and female students. The interview results were analyzed using content analysis.Results:  The results of the observation document show that only one of the five indicators is still below standard: TOR, at Puskesmas A is 0,72 times, and at Puskesmas B is 0,44 times. The availability in Puskesmas B is 27 months. The supporting factors in the distribution are regulations, educating pregnant women, and the availability of blood supplement tablets. The inhibiting factors in the distribution process are the need for more budget for distribution to schools, the lack of schedule for distribution and taking blood supplement tablets together in schools, and the lack of education of health workers for teachers and female students.Conclusion: The process of distributing blood supplement tablets at the community health center in Sleman Regency is efficient and according to the guidelines for administering blood supplement tablets to pregnant women and female students.
EKSPLORASI PENGALAMAN PASIEN DAN KELUARGA TERHADAP KUALITAS PELAYANAN TENAGA KESEHATAN DI RUANG INTENSIVE CARDIOVASCULAR CARE UNIT (ICVCU) RSUD Dr. MOEWARDI SURAKARTA
Authors: Risa Setia Ismandani  , Adi Utarini  , Martina Sinta Kristanti
Published: January 2025

Latar Belakang:  Dirawat di ruang perawatan intensif bisa menjadi situasi yang sulit bagi pasien maupun keluarganya. Berbagai respon fisik maupun emosional dapat terjadi yang memicu pemberi pelayanan kesehatan untuk meningkatkan pengalaman baru yang lebih positif. Pengalaman pasien merupakan salah satu pilar untuk meningkatkan kualitas pelayanan kesehatan. Ruang Intensive Cardiovascular Care Unit (ICVCU) RSUD Dr. Moewardi sudah dilakukan survei penilaian mutu pelayanan dengan angket kepuasan yang berisi pertanyaan tertutup namun informasi pengalaman dan persepsi pasien dan keluarga belum dapat diperoleh. Untuk itu pengalaman selama perawatan perlu diidentifikasi secara spesifik, untuk meningkatkan kualitas dalam memberikan pelayanan berfokus pada pasien dan keluarga.
Tujuan: Mengeksplorasi pengalaman pasien dan keluarga terhadap kualitas pelayanan tenaga kesehatan selama dirawat di ruang ICVCU RSUD Dr. Moewardi Surakarta.
Metode: Jenis penelitian kualitatif desain fenomenologi. Subyek penelitian ditentukan dengan purposive sampling dengan jumlah 8 pasang partisipan (pasien dan pengasuh keluarga). Karakteristik partisipan pasien berusia 41-60 tahun, terdiagnosis Acute Coronary Syndrome, dirawat di ICVCU minimal 48 jam, kondisi kesehatan stabil. Karakteristik partisipan keluarga yaitu merupakan pengasuh keluarga yang bertanggungjawab pada pasien, berusia 21-58 tahun. Analisis hasil penelitian dilakukan dengan metode Interpretative Phenomenology Analysis.
Hasil: Terdapat tiga tema utama yaitu kualitas pelayanan dokter dan perawat yang menggambarkan sikap konstruktif dokter dan perawat serta pelayanan yang memuaskan, tema kebutuhan dan harapan terhadap pelayanan menggambarkan harapan partisipan terhadap terpenuhinya informasi yang jelas mengenai tindakan medis, obat dan perawatan serta kebutuhan akan dukungan sosial, tema pengalaman negatif dimasa perawatan mengambarkan keluhan fisik dan emosional dimasa perawatan.
Kesimpulan: Kualitas pelayanan tenaga kesehatan di ruang ICVCU sangat penting dalam mendukung pengalaman positif bagi pasien dan keluarga, namun masih ada kebutuhan dan harapan yang perlu diperhatikan terkait informasi medis, perpanjangan waktu kunjung serta fasilitas ruang tunggu yang lebih memadai.
The ELEKTRONIK DISCHARGE PLANNING BERBASIS WHATSAPP CHATTING PEDULI UNTUK MENINGKATKAN ANGKA KUNJUNGAN KONTROL PADA PASIEN PASCA RAWAT INAP
Authors: Choirul Anam
Published: January 2025

Number of control visits for post-inpatient patients at the AFM Arosbaya clinic from the last 3 months of data in 2023 is around 31.4%, concluded that the number of control visits is low. One of the causes the low number of control visits is poor implementation of discharge planning, this is proven by research 1 which found that 66% of respondents with good DP had control compliance. Paper-based DP has several weaknesses, including being easily lost, easily damaged and writing that is difficult to read. With the development of information, communication systems, it is necessary to develop WhatsApp-based electronic DP. This research method is a type of true experimental design with control research. Population in this study were post-inpatient patients at the AFM Arosbaya clinic in 2023, namely 701 patients. The sampling technique is purposive sampling, and the sampling technique is Accidental Sampling. The sample in the study was the average post-hospitalization patient at the AFM Arosbaya clinic in 2023 with an average number of 58 samples.The results of data analysis meet the requirements, where the P-Value Chi-Square value is significant (0.005), namely <0.05 or there is a relationship/correlation between the provision of WhatsApp-based e-DP and an increase in the number of control visits for post-hospitalization patients, but the correlation is weak with the contingency value 0.251. There were 20 patients who came for control before being given WhatsApp-based e-DP, while after being given WhatsApp-based e-DP there were 35 patients who came for control.Based on the research results above concluded that providing WhatsApp-based e-DP can increase the number of control visits post-hospitalization patients at the AFM Arosbaya clinic. The suggestion for this research is that further research needs to be carried out with a larger population,sample, a longer research time. Hopefully, future researchers can develop web-based discharge planning.
ANALISIS TERCAPAINYA TARGET SKRINING PROGRAM KESEHATAN JIWA MELALUI E-JIWA DI PUSKESMAS “X” DKI JAKARTA
Authors: Anggun Kusumasari Jorra Putri , Soewondo Prastuti
Published: January 2025

ABSTRACT
Background: The high prevalence of mental disorders in Indonesia, especially in DKI Jakarta, has not been balanced with the achievement of the national mental health screening target. Puskesmas X has shown significant success in achieving the screening target through the implementation of E-Jiwa. Objective: This study aims to analyze the factors that affect the achievement of the target of the mental health screening program at Puskesmas X. Method: This study uses a qualitative approach with in-depth interview, observation, and document review methods on the implementation of the program. Results: The target of the screening program with E-Jiwa at Puskesmas X DKI Jakarta was achieved because it was supported by adequate human resources, digital-based infrastructure and technology such as E-Jiwa, as well as effective management in planning, implementation, and supervision. The implementation of E-Jiwa simplifies the screening process, but challenges in limited resources and service coverage remain. Conclusion: The  success of Puskesmas X in the implementation of E-Jiwa can be a strategic model to be applied in other health centers in achieving the national target of mental health.
 
Keywords: e-jiwa, health center, mental health, screening
 
ABSTRAK
Latar belakang: Tingginya prevalensi gangguan jiwa di Indonesia, khususnya di DKI Jakarta, belum diimbangi dengan capaian target skrining kesehatan jiwa nasional. Puskesmas X menunjukkan keberhasilan signifikan dalam mencapai target skrining melalui implementasi E-Jiwa. Tujuan: Penelitian ini bertujuan menganalisis faktor-faktor yang memengaruhi tercapainya target program skrining kesehatan jiwa di Puskesmas X. Metode: Studi ini menggunakan pendekatan kualitatif dengan metode wawancara mendalam, observasi, dan telaah dokumen terhadap pelaksanaan program. Hasil: Tercapaianya target program skrining dengan E-Jiwa di Puskesmas X DKI Jakarta karena didukung oleh sumber daya manusia yang memadai, infrastruktur dan teknologi berbasis digital seperti E-Jiwa, serta manajemen yang efektif dalam perencanaan, pelaksanaan, dan pengawasan. Implementasi E-Jiwa mempermudah proses skrining, namun tantangan dalam keterbatasan sumber daya dan cakupan pelayanan tetap ada. Kesimpulan: Keberhasilan Puskesmas X dalam pelaksanaan E-Jiwa dapat menjadi model strategis untuk diterapkan di puskesmas lain dalam mencapai target nasional kesehatan jiwa.
 
Kata Kunci : e-jiwa, kesehatan jiwa, puskesmas, skrining
Antioxidant Assay of Kefir Peanut (Arachis hypogaea L.) with Variations in Concentration and Fermentation Time
Authors: Viogenta Pratika , Khairunnisa Amalia , Kartinah Nani , Rahmadati Erfiza
Published: January 2025

Kefir is a processed beverage produced through pasteurized milk fermentation using a starter from kefir grains. These grains contain groups of lactic acid bacteria and yeast. Peanuts can be used as a raw material for kefir products and Arachis hypogaea L. has antioxidant activity due to a high nutritional content namely vegetable oil, protein, minerals, and essential fatty acids. This study aimed to determine the highest antioxidant activity with variations in concentration and time fermentation of peanut kefir (Arachis hypogaea L.). This research on the antioxidant activity test method used the DPPH method with UV-Vis spectrophotometry. The results of testing the antioxidant activity of peanut kefir with variations in the concentration of kefir grains of 0%, 1%, 2%, and 3% had IC50 values of 64.929 ppm, 57.675 ppm, 54.742 ppm, and 51.870 ppm, respectively. The one-way ANOVA test showed a significant difference between the IC50 value and the concentration of kefir grains. The highest antioxidant in 3% concentration determined the fermentation time with 0, 12, 24, 36, 48, and 60 hours variations. The results of testing the antioxidant activity of kefir peanut with variations in the fermentation time it was had IC50 values of 64.319 ppm respectively, 62.609 ppm, 59.376 ppm, 56.321 ppm, 51.870 ppm, and 51.384 ppm. The one-way ANOVA test results showed no significance in the 0 with 12 hours completion time and 48 with 60 hours. The research results on peanut kefir show that kefir grains of 3% and the duration of fermentation for 48 hours have strong antioxidant activity.
A Review on Object Detection for Autonomous Vehicles
Authors: Landge Akshata
Published: January 2025

The automation industries have been developing since the first demonstration in the period 1980 to 2000 it is mainly
used on automated driving vehicle. Now a day’s automotive companies, technology companies, government bodies, research
institutions and academia, investors and venture capitalists are interested in autonomous vehicles. In this work, object detection
on road is proposed, which uses deep learning (DL) algorithms. You only look once (YOLO V3, V4, V5). Object detection is an
essential component of perception in autonomous vehicles, forming the basis for navigation, collision avoidance, and scene
understanding. Additionally, recent fusion techniques combining LiDAR, radar, and visual data, such as MV3D and AVOD,
offer improvements in occlusion handling and distance estimation, contributing to better performance in real-world scenarios.
The challenges of object detection under adverse conditions, including low-light and inclement weather, are also addressed by
techniques such as robust multi-sensor fusion and novel data augmentation methods.