bluuebunny/crossref_metadata_2025_split huggingface dataset:
Service Availability and Readiness for Diabetes and Hypertension Care among Health Facilities in Lagos State, Nigeria
Authors: Banigbe Bolanle Feyisayo , Halim Nafisa , de Wit Tobias F Rinke , Elliott Patricia , Zamba Emmanuella , Oke Temitope , Dada Ibironke , Gomez-Perez Gloria P , Wirtz Veronika J , Sabin Lora L 
Published: October 2024

Abstract

Background
More than 80% of the global premature mortality from noncommunicable diseases (NCDs) occurs in low- and middle-income countries (LMICs). Nigeria, like most LMICs, has limited capacity to respond to diabetes and hypertension. As the Lagos State government accelerates the rollout of its mandatory health insurance, Lagos State Health Scheme (LSHS), the number of individuals with diabetes and hypertension seeking care will increase. This study aimed to determine service availability and service readiness for diabetes and hypertension among health facilities providing primary care for these conditions in Lagos State, and to explore the facility characteristics associated with service readiness, such as their LSHS empanelment status.
Methods
We conducted a cross-sectional survey of 84 facilities enrolled in the baseline study of an impact evaluation of the Lagos State Health Scheme. We collected data using relevant modules of the World Health Organization’s Harmonized Health Facility Assessment tool. Service availability was defined as providing diagnosis or treatment for either condition, and service readiness scores were calculated as the proportion of tracer items available and functional at the facility on the survey day. Further, we used a multiple linear regression model to estimate associations between facility characteristics and service readiness.
Results
Service availability for both conditions was high. The mean diabetes and hypertension service readiness scores were 69% and 66%, respectively. The percentage of fully ready healthcare facilities was very low (2.6% for diabetes and 2.5% for hypertension). The staff and guidelines domain received the lowest score for both conditions. There was no association between service readiness and LSHS empanelment status. Providing only outpatient services had a negative association with service readiness for both conditions. Participation in a quality improvement program had a positive association with hypertension service readiness score.
Conclusion
While the mean service readiness scores for diabetes and hypertension were moderately high among sampled health facilities, only a very small percentage were fully service ready. There were critical deficits in service readiness domains that must be addressed to ensure the required inputs for high-quality diabetes and hypertension care are available in both LSHS and non-LSHS facilities.
MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks
Authors: Gupta Anubhav , Osman Islam , Shehata Mohamed S. , Braun John W. , Feldman Rebecca E. 
Published: October 2024

Abstract

Medical imaging tasks are very challenging due to the lack of publicly available labeled datasets. Hence, it is difficult to achieve high performance with existing deep-learning models as they require a massive labeled dataset to be trained effectively. An alternative solution is to use pre-trained models and fine-tune them using the medical imaging dataset. However, all existing models are pre-trained using natural images, which is a completely different domain from that of medical imaging, which leads to poor performance due to domain shift. To overcome these problems, We propose a backbone pre-trained using the collected medical imaging dataset with a self-supervised learning technique called Masked autoencoder. This backbone can be used as a pre-trained model for any medical imaging task, as it is trained to learn a visual representation of different types of medical images. To evaluate the performance of the proposed backbone, we used four different medical imaging tasks. The results are compared with existing pre-trained models. These experiments show the superiority of our proposed backbone in medical imaging tasks. The source code is available on github.com/islamosmanubc/ MedMAE.
The use of Igisoro game in Occupational Therapy Rehabilitation in Rwanda: A mixed method design
Authors: Turikumana Pierre Damien , Murebwayire Epiphanie , Nshimiyimana Joseph , Habimana Celestin , Tuyishime Jean Claude 
Published: October 2024

Abstract

Background: The Igisoro game is a traditional board game deeply embedded in Rwandan culture, played by two participants on a specially designed board. It has been recognized for its role in fostering social, intellectual, and communication skills. The game is widely accessible and enjoyed across various settings. In particular, Igisoro is utilized in Rwandan hospitals, including mental health and physical settings, where occupational therapists incorporate it as a therapeutic tool in their interventions.
Objective:This study aims to explore the perceptions of occupational therapy professionals and their clients regarding the use of Igisoro game in rehabilitation.
Methods:The research first gathered insights from occupational therapy professionals through a cross-sectional quantitative study involving seventeen (17) occupational therapists, selected conveniently. Subsequently, the study explored the perceptions of beneficiaries through face-to-face semi-structured in-depth interviews with twelve (12) participants, recruited purposively. The sample size was determined based on data saturation.
Results:The occupational therapy professionals reported that Igisoro game improve clients’ concentration, gaining attention, expression of feelings, problem-solving skills and improving socialization were reported at higher frequencies of (88.2%), self-confidence (82%), improve judgement, fine motor skills, cognitive and perceptual skills at 76.5%, management of side effect of medication (64.7%). Furthermore, the beneficiaries’ perceptions yielded three themes namely: enhancing the socialization, stress management, and enhancing hands skills. Conclusion: The perceived benefits identified by both occupational therapists and beneficiaries align closely. Both groups recognized that the Igisoro game enhances socialization, cognitive abilities, and hand functional skills. Therefore, Igisoro should continue to be employed as a valuable therapeutic tool in occupational therapy rehabilitation.
Multi-Modal Large Language Model Enables All-Purpose Prediction of Drug Mechanisms and Properties
Authors: Xie Pengtao , Liang Youwei , Zhang Ruiyi , Li Yongce , Huo Mingjia , Ma Zinnia , Singh Digvijay , Gao Chengzhan , Rahmani Hamidreza , Bandi Satvik , Zhang Li , Weinreb Robert , Malhotra Atul , Grotjahn Danielle , Awdishu Linda , Ideker Trey , Gilson Michael 
Published: October 2024

Abstract

Accurately predicting the mechanisms and properties of potential drug molecules is essential for advancing drug discovery. However, traditional methods often require the development of specialized models for each specific prediction task, resulting in inefficiencies in both model training and integration into workflows. Moreover, these approaches are typically limited to predicting pharmaceutical attributes represented as discrete categories, and struggle with predicting complex attributes that are best described in free-form texts. To address these challenges, we introduce DrugChat, a multi-modal large language model (LLM) designed to provide comprehensive predictions of molecule mechanisms and properties within a unified framework. DrugChat analyzes the structure of an input molecule along with users' queries to generate comprehensive, free-form predictions on drug indications, pharmacodynamics, and mechanisms of action. Moreover, DrugChat supports multi-turn dialogues with users, facilitating interactive and in-depth exploration of the same molecule. Our extensive evaluation, including assessments by human experts, demonstrates that DrugChat significantly outperforms GPT-4 and other leading LLMs in generating accurate free-form predictions, and exceeds state-of-the-art specialized prediction models.
Immediate and sustainable effects of transcranial direct current stimulation on pain reduction in older adults with Alzheimer’s disease and related dementias: a pilot study
Authors: Lee Chiyoung , Park Juyoung , Kwoh Kent , Fain Mindy , Galvin James , Park Lindsey , Ahn Hyochol 
Published: October 2024

Abstract

We simultaneously assessed the impact of transcranial direct current stimulation (tDCS) on mitigating both self-reported pain and pain behaviors to more objectively explore its effects in older adults with Alzheimer’s disease and related dementias. The analysis investigated 40 participants randomly (1:1) subjected to active and sham tDCS for 20 min on 5 consecutive days. Multi-group latent transition analysis enabled the simultaneous evaluation of both pain domains in a single model and analysis of their changes as a function of intervention exposure by modeling the transition probabilities of latent classes and comparing these changes between groups. Two pain categories (“high pain” and “low pain”) were identified based on the numeric rating scale and mobilization–observation–behavior–intensity–dementia scale scores. Overall, tDCS demonstrated better effects in helping participants transition to a “low pain” status during and after the intervention (~3 months) compared with sham stimulation, demonstrating its immediate and enduring effects.
Assessment of Neck Muscles’ Anatomical Characteristics Using Magnetic Resonance Imaging and Ultrasound Imaging in Patients With Chronic Neck Pain: a Study Protocol
Authors: Plaza-Manzano Gustavo , Ramos-González Ana , Romero-Morales Carlos , Rabanal-Rodríguez Gabriel , Hernández-García Elías , Izquierdo-García Juan , Calero Juan Antonio Valera 
Published: October 2024

Abstract

Neck pain is one of the leading causes of disability globally, being a condition with high recurrence and chronicity. In patients with chronic pain, psychological, anatomical, professional, sociocultural, and biological profiles are determinants of the severity and duration of pain episodes. Although physical therapy provides tools to assess these factors, the analysis of the histology, size, and shape of the musculature in the cervical region is one of the main limitations in cervical pain research. While the gold standards are computed tomography and magnetic resonance imaging, these imaging methods are expensive, require prolonged examination time, and cannot be routinely used in clinical practice. Ultrasound is a feasible, fast diagnostic tool, offering real-time imaging at a lower cost (in both materials and human resources). The objectives of this project are: 1) to conduct a validation study of panoramic ultrasound for analyzing the size, shape, and histology of structures located in the cervical region, comparing the ultrasound characteristics with the values obtained from magnetic resonance imaging; 2) to assess the reliability of measurement procedures in both experienced and inexperienced operators in healthy participants and those with cervical pain; 3) to compare reliability across different segments; 4) to analyze the correlation between ultrasound metrics, clinical severity indicators, sociodemographic characteristics, and psychosocial factors; and 5) to analyze sex and side differences in clinical and asymptomatic populations, as well as differences between cases and controls.
Memaknai Perkembangan Seni dan Arsitektur Gereja: Kontribusi Pemikiran Murray A. Rae terhadap Arsitektur GBKP
Authors: Sinuraya Alosius Des Afriando , Soleiman Yusak 
Published: October 2024

AbstractThe general development of church architecture shows changes in the architectural function of church buildings over time, which not only includes the physical and aesthetic aspects of the building, but also has an important role in representing community identity and Christian religiosity in church architecture. This research emphasizes the need for a holistic approach in designing church architecture. Church architects are expected to consider not only financial or budget aspects, but also theology, culture and the surrounding environment in constructing church buildings. This aims to ensure that all aspects of the church’s architectural function can produce a contextual design. Murray A. Rae’s contributions to the theology of church architecture highlight theimportance of deep dialogue between theological identity, local culture, and contemporary context. Rae’s thoughts provide important relevance for the development of church architecture in Indonesia, especially in the context of today’s GBKP architecture. The result of this approach is not only creating aesthetic church architecture, but also an ecletic one that integrates elements of theology, local culture, and contemporary times.
AbstrakPerkembangan umum arsitektur gereja menunjukkan adanya perubahan fungsi arsitektur gedung gereja seiring waktu, yang tidak hanya mencakup aspek fisik dan estetika bangunan, tetapi juga memiliki peran penting dalam merepresentasikan identitas komunitas dan religiositas Kristen dalam arsitektur gereja. Penelitian ini menekankan perlunya pendekatan holistik dalam merancang arsitektur gereja. Para arsitek gereja diharapkan mempertimbangkan tidak hanya aspek dana atau anggaran, tetapi juga teologi, kultur, dan lingkungan sekitar dalam pembangunan gedung gereja. Hal ini bertujuan agar semua aspek fungsi arsitektur gereja dapat menghasilkan desain yang kontekstual. Kontribusi Murray A. Rae dalam teologi arsitektur gereja menyoroti pentingnya dialog mendalam antara identitas teologi, budaya lokal, dan konteks kekinian. Pemikiran Rae memberikan relevansi penting bagi perkembangan arsitektur gereja di Indonesia, terutama dalam konteks arsitektur GBKP. Hasil dari pendekatan ini bukan hanya menciptakan arsitektur gereja yang estetis, tetapi juga ekletik yang mengintegrasikan elemen-elemen teologi, budaya lokal, dan kekinian.
Ikhtiar Membangun Teologi Sosial Kon(multi)tekstual dengan Memanfaatkan Epistemologi Barat demi Kedalaman Bersama
Authors: Eddy Kristiyanto Antonius 
Published: October 2024

AbstractThe main object of this research is to efford to give foundation to the praxis of social theology here, now, and beyond (hic, nunc, et tunc). On regarding the state of question and content of epistemology and theology do not assume each other, so the focus of this research could be formulated as follow: How could epistemology give the positive roles in any discourse about in the extending dan profounding the social theologywhich characterized by some con(multi)textual? Either epistemology or theology constitute two the autonom clusters. Each of them has the special method. The historical method through this research, however, builds bridge between philosophy in one hand and the theology in the other. This method is due to the principles for the convergence of sources. State of the art elaborates the reflections of Wolfhard Pannenberg and Johann Baptis Metz which would be confrontated with the concept of proflection. This research finally promotes two patters which are intercomplementary.
AbstrakKajian ini bermaksud mengikhtiarkan pendasaran praksis teologi sosial di sini, sekarang, dan melampaui (hic, nunc, et tunc). Mengingat duduk perkara dan isi epistemologi dan teologi tidak saling mengasumsikan, maka fokus kajian ini dirumuskan begini: Bagaimana epistemologi dapat berperan positif dalam diskursus tentang pengembangan dan pendalaman teologi sosial yang bercorak kon(multi)tekstual? Baik epistemologi maupun teologi merupakan dua rumpun ilmu yang otonom. Mereka memiliki metodologi yang berbeda. Namun, metode historis dalam kajian ini menjembatani antara arus filosofis dengan teologis. Metode ini sesuai dengan asasnya, yakni konvergensi sumber. State of the art berangkat dari pengolahan atas refleksi, misalnya Wolfhart Pannenberg dan Johann Baptis Metz, yang akan dikonfrontasikan dengan konsep tentang profleksi. Akhirnya kajian ini menyodorkan dua pola yang saling melengkapi.
Role of Medicinal Plants in the Management of Multiple Sclerosis
Authors: Gupta Aaryan , Roy Arpita , Roy Amit , Raja Vaseem , Sharma Kuldeep , Verma Rajan 
Published: October 2024

Abstract:
There is a rapid spread of Multiple Sclerosis disorder across the globe, around 2.8
million cases of Multiple Sclerosis in the world. Multiple Sclerosis (MS) is a chronic autoimmune
disease of the central nervous system characterized by demyelination, neuroinflammation,
and a wide spectrum of clinical manifestations. Many drugs have been tested on MS patients but
there is no effective treatment for MS till now. So to inhibit the symptoms caused by MS we
performed a study in which we identified various naturally occurring materials with neuroprotective
effects on the body that can treat Multiple Sclerosis. The therapeutic strategies portion of
the paper reviews the array of disease-modifying therapies currently available for MS management.
This paper evaluated their mechanisms of action, efficacy, and safety profiles. It also addressed
emerging treatment paradigms by using different naturally occurring materials, including
personalized medicine approaches and novel therapies in development. This paper provides
a comprehensive overview of the current state of knowledge regarding MS, focusing on its
pathogenesis, diagnostic approaches, and therapeutic strategies.
Acoustic-assisted Fabrication, Characterization, and Photocatalytic Application of Ni2O3/NiO/rGO Nanocomposites
Authors: Gomaa Islam , Gamal Fatama , Elmahgary Maryam G. , Ibrahim Medhat A. , Hosny Nasser Mohammed 
Published: October 2024

Introduction:
This study introduces an innovative two-step approach to fabricate a highperformance
Ni₂O₃/NiO/rGO nanocomposite photocatalyst. The process synergistically combines
solvothermal precursor synthesis with calcination and high-energy ultrasonic irradiation, enabling the
in-situ formation of a thin Ni₂O₃ layer on NiO quasi-sphere nanoparticles anchored to a reduced graphene
oxide (rGO) matrix.

Method:
The incorporation of rGO significantly enhances charge separation, resulting in a dramatic
increase in active surface area from 17.1 m²/g to 131 m²/g, and a substantial improvement in the photocatalytic
degradation of the resilient Fluorescein dye—achieving an 81% degradation rate under
UV light, compared to 36% with pristine NiO.

Results:
Comprehensive characterization, including FTIR, XRD, and XPS analyses, confirmed the
NiO-Ni₂O₃ interface transformation, successful reduction of graphene oxide, and critical interactions
between NiO and Ni₂O₃.

Conclusion:
This study highlights the promising potential of the Ni₂O₃/NiO/rGO nanocomposite for
environmental remediation, particularly in the degradation of persistent organic pollutants.
A Systematic Review on the Scope and Applications of Nanomaterials in the Plant Systems: Current and Prospects
Authors: Kuruvalli Gouthami , Maity Subhasish , Santra Ayantika , Lee Jaewoong , Kalla Reddimohannaidu , Reddy Vaddi Damodara 
Published: October 2024

Abstract:
Nanoparticles are essential tools used in manipulating plants, and there is a wide variety
of nanoparticles, each with its own uses for different plants. Plants undergo minuscule gene
manipulations that give them advantages and endurance. When particles are reduced to the nanometer
scale, they exhibit a high surface area to volume ratio, resulting in unique properties
that allow for systematic applications in engineering, biomedical, agricultural, and related fields.
Nanomaterials can be created through bottom-up or top-down procedures using physical, chemical,
and organic synthesis methods. This review study explores the use of different nano materials
in the agricultural sector and the impact of silica nanoparticles, metal oxide, and metal nanoparticles
on plant metabolic processes. Additionally, the impacts of nanoparticles on microbes,
bacteria, and other pathogens are also being analyzed.
The Use of Gene Expression Profiling to Predict Molecular Subtypes of Breast Cancer by a New Machine Learning Algorithm: Random Forest
Authors: Fararjeh Abdul-Fattah , Al-khlifeh Enas , Al Aloliqi Abdulaziz A. , Tarawneh Ahmad S. , Hassanat Ahmad B. 
Published: October 2024

Background:
One of the main causes of cancer-related mortality in women is breast cancer
[BC]. There were four molecular subtypes of this malignancy, and adjuvant therapy efficacy
differed based on these subtypes. Gene expression profiles provide valuable information that is
helpful for patients whose prognosis is not clear from clinical markers and immunohistochemistry.

Objective:
In this study, we aim to predict molecular types of BC using a gene expression dataset of
patients with BC and normal samples using six well-known ensemble machine-learning techniques.

Methods:
Two microarray datasets were downloaded; [GSE45827] and [GSE140494] from the
Gene Expression Omnibus [GEO] database. These datasets comprise 21 samples of normal tissues
that were part of a cohort analysis of primary invasive breast cancer [57 basal, 36 HER2, 56 Luminal
A, and 66 Luminal B]. Namely, we used AdaBoost, Random Forest [RF], Artificial Neural
Network [ANN], Naïve Bayes [NB], Classification and Regression Tree [CART], and Linear Discriminant
Analysis [LDA] classifiers.

Result:
The results of the data analysis show that the RF and NB classifiers outperform the other
models in the prediction of the BC subtype. The RF shows superior performance with an accuracy
range between 0.89 and 1.0 in contrast to its competitor NB, which has an average accuracy of 0.91.
Our approach perfectly discriminates un-affected cases [normal] from the carcinoma. In this case,
the RF provides perfect prediction with zero errors. Additionally, we used PCA, DHWT lowfrequency,
and DHWT high-frequency to perform a dimensional reduction for the numerous gene
expression values. Consequently, the LDA achieves up to 95% improvement in performance
through data reduction. Moreover, feature selection allowed for the best performance, which is recorded
by the RF with classification accuracy 98%.

Conclusion:
Overall, we provide a successful framework that leads to shorter computation times
and smaller ML models, especially where memory and time restrictions are crucial.