bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deteksi Dini dan Peningkatan Pengetahuan Penyakit Osteoporosis pada Calon Jamaah Haji Di Yogyakarta
Authors: Marfianti Erlina , Kasyiva Mahdea , Sabila Afila Biruni 
Published: March 2024

ABSTRAK.

Osteoporosis merupakan penyakit degeneratif yang dapat menyebabkan patah tulang. Deteksi dini osteoporosis mengurangi komplikasi tersebut. Ibadah Haji merupakan ibadah rukun Islam yang dalam pelaksanaannya memerlukan persiapan fisik dan kesehatan yang baik, termasuk kekuatan tulang. Pemberian edukasi faktor risiko osteoporosis dan deteksi dini osteoporosis dapat memberikan tindakan dini dan mencegah kondisi lebih parah. Tujuan pengabdian masyarakat ini adalah untuk memberikan edukasi kepada calon jamaah haji terkait penyakit osteoporosis, dan melakukan skrining osteoporosis pada calon jamaah haji di Yogyakarta. Pengabdian masyarakat ini dilakukan pada 178 calon jemaah haji DIY. Program pengabdian masyarakat ini terdiri dari program deteksi dini osteoporosis dengan tes kepadatan masa tulang, edukasi faktör risiko dan penanganan osteoporosis dengan membuat infografis untuk disebarkan, serta konsultasi terkait osteoporosis. Pada pengabdian masyarakat hasil deteksi osteoporosis didapatkan data 15 peserta (8,43 %) dengan kepadatan tulang normal, 93 peserta (52, 25 %) osteopeni, dan terdapat 70 peserta (39,33 %) yang osteoporosis. Dengan edukasi dan konsultasi penyakit osteoporosis, meningkatkan pengetahuan tentang faktor risiko dan pencegahan osteoporosis.
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Kata Kunci: Edukasi, Deteksi Dini, Osteoporosis, Calon Jemaah Haji

ABSTRACT

Osteoporosis is a degenerative disease that can cause bone fractures. Early detection of osteoporosis reduces these complications. The Hajj is a pillar of Islam which in its implementation requires physical preparation and good health, including bone strength. Providing education on osteoporosis risk factors and early detection of osteoporosis can provide early action and prevent more severe conditions. The purpose of this community service is to provide education to prospective pilgrims regarding osteoporosis, and conduct osteoporosis screening for prospective pilgrims in Yogyakarta. This community service was carried out for 178 pilgrims candidate in Yogyakarta. This community service program consists of an osteoporosis early detection program with a bone mass density test, education on risk factors and osteoporosis management by creating infographics to distribute, as well as osteoporosis-related consultations. In community service the results of osteoporosis detection obtained data from 15 (8.43%) with normal bone density, 93 (52.25%) osteopenia, and osteoporosis there were 70 (39.33%). Provide education and consultation about osteoporosis, increase knowledge about risk factors and prevention of osteoporosis.

Keywords: Education, Early Detection, Osteoporosis, Pilgrims Candidate
Sosialisasi Dan Edukasi Aplikasi Classpoint Bagi Guru Pada Kurikulum Merdeka Belajar Sekolah Dasar
Authors: Hevitria Hevitria , Arrosyad Muhammad Iqbal , Tohir Muhamad , Adilliyah Adilliyah , Pratiwi Saskia 
Published: March 2024

Pengabdian kepada masyarakat dengan skema pengabdian masyarakat pemula melalui kegiatan sosialisasi dan edukasi aplikasi classpointi bagi guru pada kurikulum merdeka belajar Sekolah Dasar. Pengabdian ini dilatarbelakangi dengan kurangnya kemampuan guru-guru SD STKIP MBB dalam menggunaan aplikasi interaktif untuk menghadapi kurikulum merdeka belajar. Oleh karena itu diadakan kegiatan sosialisasi dan edukasi aplikasi classpoint bagi guru pada kurikulum merdeka belajar Sekolah Dasar. Solusi yang dilakukan pada pengabdian ini dengan cara tahap observasi awal atau analisis situasi tentang pemahaman dan kemampuan guru terhadap aplikasi interaktif, tahap perencanaan pengabdian, tahap pelaksanaan pengabdian berupa pelatihan aplikasi classpoint bagi guru pada kurikulum merdeka belajar di SD STKIP MBB, dan tahap evaluasi berupa kegiatan tanya jawab dan latihan terbimbing. Hasil pada pengabdian kepada masyarakat dengan kegiatan sosialisasi dan edukasi aplikasi classpoint bagi guru pada kurikulum merdeka belajar sekolah dasar, dapat dijabarkan secara rinci sesuai dengan tahapan yang telah dilaksanakan. Tahapan tersebut diantaranya, 1) kajian kebutuhan; 2) pemaparan materi; 3) pendampingan; dan 4) evaluasi.
Kata Kunci: Classpoint, Kurikulum Merdeka, SD
Application of the AHP Method to Assesment of Performance Levels of Production Employees of the Zenbo Division of PT. ABC
Authors: Prasetyo Doni Prasetyo , Marodiyah Inggit 
Published: March 2024

In a company, it cannot be separated from the role of human resources who work in it. The quality of human resources is one of the factors that influences the level of company productivity. Therefore, there is a need for an existing employee performance assessment system to determine the level of productivity of each existing employee. The problems that exist at PT. Mertex Indonesia is the absence of an assessment system which results in no knowledge of the performance level of its employees. Based on these problems, this research designed an employee assessment system using the Analytical Hierarchy Process (AHP) method which is used to support decision making for employees which refers to the employee's level of productivity. This research aims to create decision support in evaluating the performance of company employees to be able to maintain the high value of company productivity. The results obtained from weighting using AHP are changes in ranking where operator 2 and operator 3 exchange ranking positions.
Highlights :

Lack of performance assessment system at PT. ABC impacts productivity.
Research designs AHP-based employee assessment system.
Results show ranking changes, enhancing decision-making for productivity.

Keywords : Human Resources; AHP Method; Performance Assessment
Production Dynamic Characteristic of Fractured Wells in Multilayer Reservoirs Considering the Effect of Non-Uniform Flux Distribution
Authors: Liang Yanzhong , Teng Bailu , Luo Wanjing 
Published: March 2024

Abstract
Hydraulic fracturing stimulation, which improves matrix permeability and reduces production costs, has been extensively used in the exploitation of multilayer reservoirs. However, little research on the production dynamic characteristics of vertically fractured wells in stratified reservoirs has been done in the literature. The influence of flux variation along the fracture on the pressure transient behavior has been ignored in these previous works. Therefore, this paper introduces a novel semi-analytical model for fractured wells in multilayer reservoirs, in which the finite difference method is used to characterize fluid flow in the fracture and the Green’s function method is used to characterize fluid flow in the matrix. With the aid of the model, the production dynamic characteristics of fractured wells in multilayer reservoirs can be readily investigated. In addition, based on the assumption of nonuniform flux distribution along the fracture, we successfully recognize four flow regimes occurring in the pressure drop and pressure derivative curves. Following that, the influences of several parameters on the pressure dynamics and layered flux contribution are studied. The calculation results indicate that a larger storability ratio, as well as a larger permeability ratio, can increase the values of the pressure drop and the pressure derivative; the greater the fracture height, the greater the fluid flow into each layer of the fracture. During the production of this model, increasing the fracture conductivity can reduce the pressure drop and pressure derivative, which means lower flow resistance in the fracture.
Psychological interventions for depression and/or anxiety among men who have sex with men: a systematic review protocol.
Authors: Crocco Nombulelo Thembekile , Nhunzvi Clement , Langhaug Lisa , Duma Sinegugu Evidence , Harding Richard 
Published: March 2024

Abstract
Background: Global evidence suggests that lesbian, gay and bisexual (LGB) people are more likely than the general population to suffer from common mental disorders. LGB-affirming interventions are needed to mitigate against the impact of minority stress on mental health in this population. Therefore, this review aims to identify and systematically appraise the evidence for the effectiveness of existing psychological interventions designed to improve depression and/or anxiety outcomes among men who have sex with men (MSM).
Methods: This systematic review protocol follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A systematic search will be performed in PubMed, CINAHL via EBSCOhost, PsycInfo via EBSCOhost, Web of Science, SCOPUS, Embase, Medline and Cochrane Library using tailored search strategies for those databases.
Two reviewers will independently screen eligible studies for inclusion. Bibliographic data, and aspects of the study design, setting, intervention components and findings will be extracted. Data extraction will be performed by two reviewers using a pilot-tested form. Quasi experimental designs studies will be retained because of the limited number of randomised controlled trials (RCT) that were identified during the preliminary search. The Briggs Institute checklists will be used to assess study quality. A logic model will be used to present synthesis of the data.
Discussion: The proposed systematic review and resulting logic model will inform the development of feasible, acceptable and potentially effective interventions for reduction of anxiety and depression among MSM, particularly in low- and middle-income countries.
Systematic Review Registration: PROSPERO CRD42023362772
A mycoinsecticide from Metarhizium anisopliae (Ascomycota: Hypocreales) based on a solid-state fermentation method against some aphid species in Türkiye
Authors: Biryol Seda , Demir İsmail 
Published: March 2024

Abstract
The research aims to propose an appropriate and efficient mycoinsecticide from a local Metarhizium anisopliae (Ascomycota: Hypocreales) strain (KTU-51) against several aphid species (Hemiptera: Aphididae; Myzus persicae Sulz., Aphis fabae Scop., Brevicoryne brassicae L. and Macrosiphum rosae L.), which are the most important agricultural pests. M. anisopliae produced spores in large quantities utilizing solid-state fermentation (SSF) with rice as a substrate. An oil-based mycoinsecticide called AFIDISIDAL-OD Met-TR61 was improved by incorporating spores harvested from the sporulated biomass. The product provided a more deathful effect than commercial products against all the aphis species under laboratory conditions. Met-TR61 with 108 spores/ml concentration yielded 78.3% mortality in the leaf disc experiment and 79% in the pot experiment on Myzus persicae. Other aphids were also found to be extremely sensitive to the product. In this particular study, an oil-based mycoinsecticide was developed and its efficacy for biological control of aphid species was assessed. The study’s findings indicate that the mycoinsecticide has the potential to be a workable and effective alternative to conventional chemical insecticides for controlling aphid populations.
AI-Assisted Identification of Primary and Secondary Metabolomic Markers for Post-Operative Delirium
Authors: Lomivorotov Vladimir , Ivanisenko Vladimir , Makarova Aelita-Luiza , Rogachev Artem , Basov Nikita , Gaisler Evgeniy , Kuzmicheva Irina , Demenkov Pavel , Venzel Artur , Ivanisenko Timofey , Antropova Evgenia , Naidanova Margarita , Kolchanov Nikolay , Kochetov Alexey , Plesko Victoria , Moroz Gleb , Pokrovsky Andrey 
Published: March 2024

Abstract
Despite considerable investigative efforts, the molecular mechanisms of postoperative delirium (POD) remain unresolved. The present investigation employs innovative methodologies for identifying potential primary and secondary metabolic markers of POD by analyzing serum metabolomic profiles utilizing the genetic algorithm and artificial neural networks. The primary metabolomic markers constitute a combination of metabolites that optimally distinguish between POD and non-POD groups of patients. Our analysis revealed L-lactic acid, inositol, and methylcysteine as the most salient primary markers, upon which the prediction accuracy of POD manifestation achieved AUC = 99%. The secondary metabolomic markers represent metabolites that exhibit perturbed correlational patterns within the POD group. We identified 54 metabolites as the secondary markers of POD, incorporating neurotransmitters such as gamma-aminobutyric acid (GABA), serotonin. These findings imply a systemic disruption in metabolic processes in patients with POD. The deployment of gene network reconstruction techniques facilitated the postulation of hypotheses describing the role of established genomic POD markers in the molecular-genetic mechanisms of metabolic pathways dysregulation, involving the identified primary and secondary metabolomic markers. This study not only expands the understanding of POD pathogenesis but also introduces a novel technology for bioinformatic analysis of metabolomic data which could aid in uncovering potential primary and secondary markers in diverse research domains.
RETRACTED: Optical Density Analysis of Subretinal Fluid in Vogt Koyanagi Harada Disease, Posterior Scleritis and Acute Central Serous Chorioretinopathy
Authors: Ozkocak Berru Yargi , Ariman Sakir , Atik Burcu Kemer , Basarir BERNA , Altan Cigdem 
Published: March 2024

Abstract
The authors have requested that this preprint be removed from Research Square.
A Melanoma Diagnosis Using Dermoscopy Images Utilizing Convolutional Neural Networks
Authors: Marrapu Archishma 
Published: March 2024

Abstract

Melanoma is a type of skin cancer, the most dangerous one with over 200,000 new cases in the United States annually.
Background: Melanoma can affect a wide range of people and can be affected by different risk factors, although the exact cause is unknown. There are several diagnosis methods currently used by doctors in a traditional method of diagnosis. These methods of diagnosis come with different disadvantages and drawbacks, therefore, decreasing the accuracy and effectiveness of the diagnosis. The drawbacks that occur with the traditional, manual diagnosis are misdiagnosis of melanoma, low accuracy in diagnosis, the abundance of time, and human errors. The automation of melanoma diagnosis can benefit many people, both doctors, and patients, in several different ways.
Methods: The usage of new technologies, such as Artificial Intelligence, can increase the effectiveness and accuracy of diagnosis. This paper proposes an Artificial Intelligence and Deep Learning model that diagnoses melanoma with more accuracy and less time at an early stage. It is essentially a mobile application that can be integrated with a handheld dermatoscope to capture dermoscopy images to diagnose melanoma using the pre-trained Machine Learning model. The pre-trained model uses several images in order to produce accurate and effective results.
Results: The model has a 99% accuracy rate and can produce results of the diagnosis within a few seconds of time.
Conclusions: This method of diagnosis can eliminate manual errors in diagnosis and can also reduce the several weeks of wait time needed for manual melanoma diagnosis results.
Changes in lipid and hematological indices among Saudi patients with chronic hepatitis B in the Makkah region: A case-control study
Authors: Karkashan Alaa , Alsharif Dhuha , Batook Nouf , Abbas Basma , Ramadhan Majed , Alsofyani Abeer , Alhajhussein Baraa 
Published: March 2024

Abstract

Background: Infection with chronic hepatitis B (CHB), which leads to severe liver-related mortality and morbidity, is a global public health challenge that needs to be considered. It isrelated to a wide variety of extrahepatic manifestations. The purpose of this study was to investigate a variety of lipid and hematologic abnormalities that are associated with CHB patients.
Method: In this study, 226 patients with CHB infection were compared with an equal sample of non-HBV individuals between 2015 and 2021. Available medical records for CHB patients and non-HBV individuals were collected from the Ministry of National Guard Health Affairs-Western Region (MNGHA-WR) database. The chi-square test was used to analyse categorical data, while the t test was used to assess numeric variables with a significant p value (P<0.005).
Results: By comparing CHB patients and non-HBV individuals, a similar sex was observed in both groups (P=0.51), while non-HBV individuals were significantly older than CHB patients were. Moreover, compared with non-HBV individuals, CHB patients had lower HDL, TC, TG, WBC, RBC, PLT, Hgb, and MCHC levels as well as lower HCT and MCV than did non-HBV individuals (P <0.005). These correlations, except for those for TC and TG, persist significantly after age and sex adjustment.
Conclusion: Compared with non-HBV individuals, CHB patients had irregular lipid and hematologic indices.
Effects of degraded durability on long-term stability for in-service slopes with RC support structures
Authors: Ye Wenya , Ma Yongzheng , Qin Cuigui , Wang Huajun , Li Chunguang , Ding Zhouxiang 
Published: March 2024

Abstract

Many engineering slope stability issues exhibit the impact of deteriorating durability on the susceptibility of slopes to failure. A thorough investigation was essential to explore the theoretical and experimental aspects of slope durability degradation and its implications for long-term stability. Hence, a durability model tailored for slope stabilization using reinforced concrete (RC) support structures was first developed here, grounded on classical durability principles for RC structures. A model test was then conducted to compare a standard slope model with a weakened counterpart, thus illustrating the effects of diminished durability on slope stability. The two slope models accounted for environmental factors, such as heavy or acid precipitation, salt spray, cyclic loading, and unloading. The test results encompassed slope surface displacements and the carbonation or neutralization (CN) depth of the sprayed concrete layer on the slope surface. These results demonstrated the enhanced sensitivity of slopes with degraded durability to environmental impacts compared to regular slopes. The empirical evidence from CN depth measurements validated the theoretical predictions made by the developed durability model in this paper, thus affirming its validity. The proposed durability model was also applied to a case study through finite-element numerical simulation with deteriorated property parameters. The simulation indicated a steady reduction in the safety factor for the evaluated in-service slope throughout its service life. The finite-element-based predictions also suggested the potential for corrosion and breakage concerning anchor bolts in this slope within a 20 to 30-year timeframe, thereby warranting timely maintenance and reinforcement actions to ensure slope sustainability in the future.
Service Evaluation of an Early Pregnancy Loss Support Clinic in a London EPU
Authors: Anderson Michelle , Gluckman Gemma , Ajith Tara , Kirk Emma , Memtsa Maria 
Published: March 2024

Abstract

Background: Early pregnancy loss (EPL) can have profound implications for physical and psychological health. In the UK, huge variation in service provision exists for women affected by EPL. There is very little guidance on what hospital-based follow-up support services should look like, and how these can be implemented and embedded into current care provision to meet the needs of women who experience EPL. This service evaluation (SE) reports on a newly implemented Early Pregnancy Loss Support Clinic (EPLSC) in an inner-city Hospital Trust.
Methods: This SE gathered both quantitative and qualitative data to assess the value of a locally implemented Early Pregnancy Loss Support Clinic (EPLSC). Quantitative data were collected using the Short Assessment of Patient Satisfaction (SAPS) questionnaire and the Visual Anxiety Scale (VAS-A), both were administered to women attending the EPLSC. Qualitative data were collected through semi-structured interviews and consisted of four pre-determined themes based on EPL literature - physical health, mental health, role of the bereavement midwife and overall service user experience. Quantitative data was summarised using descriptive statistics and qualitative data was analysed deductively using Framework analysis.
Results: A total of 127 women were invited to the EPLSC, with 110 (87%) attending, and 17 (13%) not attending their appointment. SAPS scores ranged between 21-28 demonstrating that women were either satisfied or very satisfied with the care they received in the EPLSC. Results from VAS-A scores found that 76 (69%) of women reported a decrease in anxiety immediately after attending the EPLSC, compared to 8 (7%) who reported no change or a small increase in anxiety. Qualitative results revealed women’s concerns around future fertility, the importance of emotional support and the value of connecting with the bereavement midwife.
Conclusion: An EPLSC which focuses on providing emotional support and reassurance, especially in relation to future fertility, is important to women. Further rigorous evaluation on national disparities in EPL follow-up is urgently needed to assess the gaps in clinical care delivery.
Enhanced Diagnostic Accuracy in Musculoskeletal Radiography: A Comprehensive Ensemble Approach of Deep Learning Models
Authors: BS VIDHYASAGAR , Buchupalli Keerthi lakshmi , Gottimukkula Rajashekar Reddy , Kalimuthu Sivakumar 
Published: March 2024

Abstract

The musculoskeletal radiograph (MURA) dataset, which is the largest bone x-ray dataset is an important resource for training and testing the machine learning model, as it has been specifically analyzed and well-classified by specially trained radiologists. Four CNN architectures have separately trained and evaluated the dataset ( DenseNet201 GoogLeNet, ResNet50, and Inception-ResNet-V2). The results of the algorithms showed variation in recall and accuracy. In addition, multiple-architecture ensemble models performed better than single models, highlighting the benefits of ensembling techniques to improve prediction accuracy. Combining multiple deep learning models reduces the risk of overfitting, increases predictive stability, improves accuracy, and optimizes the dataset. The integration of several models considers dataset robustness and uncertainty reduction. This ensembling process enables the development of accurate diagnostic tools for upper limb bone-related problems using the MURA dataset and other radiographic datasets. This work shows the use of ensemble methodologies, optimization of architecture, and various techniques, such as using data augmentation and demonstrating the ability of CNN to generalize musculoskeletal diseases. The results of this work can contribute to the creation of more effective diagnostic tools for the healthcare industry.