bluuebunny/crossref_metadata_2025_split huggingface dataset:
Langkah-Langkah Metode Fuzzy ELECTRE dalam Penentuan Penerima Bantuan PKH
Authors: Anthasyah Indah Ayu Zurike , Alisah Evawati 
Published: November 2024

Fuzzy ELECTRE is one of the methods based on the concept of outranking and comparing alternatives based on each relevant criterion. Currently, the Indonesian government has several programs as poverty alleviation, one of which is providing PKH assistance. The results of the implementation and interpretation of the fuzzy ELECTRE method using TrFN weighting to decide PKH beneficiaries. This method requires several processes, namely determining alternative decisions that are in accordance with the number of PKH beneficiaries, determining decision criteria, determining linguistic variables and giving values to each criterion based on the TrFN scale, determining the weight of the criteria based on the level of importance, determining the decision matrix, determining the normalized decision matrix, determining the weighting value on the normalized matrix entry, determining the concordance index, determining the calculation of concordance and discordance index values, determining the calculation of final concordance and discordance, and determining the ranking of the sum of the final concordance and discordance values. Thus, it can be shown that there are people who get the highest rank, namely alternatives 25,47,53,65,71,72,81,82 and 96 with a value of 184.90487 and people who get the lowest rank, namely alternative 79 with a value of -73.51765. So, this research can provide a higher level of accuracy and PKH assistance can be distributed on target.
Ketaksamaan Operator Integral Fraksional yang Diperumum pada Ruang Morrey Tak Homogen yang Diperumum
Authors: Azizah Siti Rohmah , Rahman Hairur , Nasichuddin Achmad 
Published: November 2024

A Fractional integral operator is one of the operators in mathematical analysis. Fractional integral operator itself maps any real-valued function into the integral form of the division of the at function. One of the expansion of fractional integral operator is generalized fractional integral operator. Morrey space is an extension of Lebesgue space. Morrey space is the set of all Lebesgue measurable functions, whose norm is finite over Morrey space. In this study, we will discuss the inequalities of the generalized fractional integral operator on a generalized non-homogeneous Morrey space. We proved of this inequality using the Chebyshev inequality and the Holder inequality.
Implementasi Metode Support Vector Machine pada Klasifikasi Diagnosis Penyakit Hipertensi
Authors: Elnaz Putri Hilda Zaqya , Fahmi Hisyam 
Published: November 2024

Hypertension is one of the leading causes of death worldwide. This disease is often referred to as the silent killer because it can lead to death without noticeable symptoms, leaving those affected unaware of their condition. Therefore, early detection and management of hypertension are crucial. This research aims to obtain the classification of hypertension using the Support Vector Machine (SVM) method by utilizing various attributes such as age, smoking habits, lifestyle, blood pressure, and hypertension diagnosis, as well as determining the accuracy level of hypertension classification results using the SVM method. The SVM method is trained with various kernel parameters and hyperparameters to find the best model. The research findings indicate that the best model for classifying hypertension using the SVM method employs the RBF kernel with parameters = 100 and (gamma) = 0,1, achieving an accuracy of 97.15%. This demonstrates that the SVM method is capable of classifying hypertension very well and significantly contributes to the early detection and management of hypertension.
Rumus Umum Pelabelan L(2, 1) pada Graf Koprima Grup Bilangan Bulat Modulo m
Authors: Kamila Siti Nur , Jauhari Mohammad Nafie 
Published: November 2024

Groups are nonempty sets equipped with binary operations and fulfill certain conditions. One example of a group is the group of integers modulo . A coprime graph of a group is a graph whose vertices are elements in and any two vertices in are directly connected if and only if the greatest common factor of the orders x and y are relatively prime. labeling has important applications in wireless telecommunication networks, where there are limited radio frequencies available and adjacent transmitters cannot use the same frequency. To overcome this problem, frequency assignment is done using the concept of labeling, where transmitters are symbolized as vertices connected by edges. labeling is a graph labeling technique that assigns non-negative integer labels to graph vertices with the rule that two directly connected vertices must have a minimum label difference of two, and two vertices that are two apart must have a minimum label difference of one. The purpose of this research is to find out the general formula for the labeling on the coprime graph of the group of integers modulo and the general formula for the minimum value of the largest label of the labeling. The steps taken in this research are to determine the coprime graph form of the group of integers modulo . Then label each vertex with a non-negative label. Then label each vertex with labeling rule. From the result of this research, it can be concluded that the coprime graph of integer group modulo has a labeling with .
SOME PHYSICAL-CHEMICAL FEATURES THE SOLID PHASES HYDRAULICITY
Authors: Nahornyi Mykyta , Nagorniy Andriy 
Published: November 2024

The most widely used in composite materials industry are concrete installations bonded with different binders. Higher energy consumption and several ecological problems make their manufacture to become more and more expensive. The growing market of construction works and constant extension of real estate property increases the demand for cheap and new materials with desired features. As a result of many years intensive scientific researches there is now a practical possibility to offer an alternative and unique products technology of manufacture based on binding suspension (bricks, wall, heat insulating and refractory materials and other) – all of them of desired size and shape. The experience of the composite materials technology development shows that in comparison with traditional the microhardness of materials with an ultradispersive structure increases several times and the specific surface increases by an order contributing to a decrease in the sintering temperature. The longevity of similar material is essentially increasing provi­ded structure is forming under conditions of the servi­ce site. Thus, building industry will obtain improved service life and performance from binding suspensions as field installations will continue to move toward adopting and utilizing practices based on technology described herein, rather than on cement technology. Relative to conventional composite materials products with mechano-chemical binders will continue to gain in popularity because of the following advantages: low energy consumption and low prices for the products; ecological safety of the manufacture process and of the ready-made products; good mechanical and design properties; moisture and cold proofness; surface need not be fired; no shrinkage of the products after drying; simple to manufacture a variety of different products; ready availability and flexibility in design; absence of manufacture wastes.
Pola Konsultasi dan Kemitraan dalam Pencegahan dan Penanganan Narkoba di Kalangan Remaja
Authors: Meutia Intan Fitri , Tresiana Novita , Duadji Noverman , Utoyo Bambang , Kagungan Dian , Assalam Muhammad Shafwan 
Published: November 2024

This community service activity aims to provide a pattern of cooperation or partnership between actors in preventing drug abuse in the educational environment. The target to be achieved is disseminating information to the public, especially those in the educational environment for teenagers at SMA Negeri 9 Bandar Lampung. The method used is FGD (Focus Group Discussion) to achieve these specific goals and targets. The activities carried out will focus on the introduction and understanding of the Consultation and Partnership model in efforts to handle and prevent drugs among adolescents. The expected result is that there are efforts to prevent and handle drugs among adolescents of high school age through collaboration between the school, parents, and relevant stakeholders to raise awareness of efforts to prevent drugs. Activities are evaluated by filling out a questionnaire (questionnaire test). This community service did pre-test and post-test.

Abstrak
Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memberikan pola kerja sama atau kemitraan antar aktor dalam mencegah terjadinya penyalahgunaan narkoba di lingkungan pendidikan. Target khusus yang ingin dicapai adalah menyebarluaskan informasi kepada masyarakat, khususnya yang berada di dalam lingkungan pendidikan kalangan remaja SMA Negeri 9 Bandar Lampung. Untuk mencapai tujuan dan target khusus ini metode yang digunakan adalah FGD (Focus Group Discussion). Kegiatan yang dilakukan akan terfokus pada pengenalan dan pemahaman akan model konsultasi dan kemitraan dalam upaya penangan dan pencegahan Narkoba di kalangan remaja. Hasil yang diharapkan yaitu adanya upaya pencegahan dan penanganan narkoba di kalangan remaja usia sekolah menengah umum melalui kerjasama antara pihak Sekolah, Orang Tua, dan stakeholder terkait sehingga menimbulkan kesadaran akan upaya pencegahan Narkoba. Evaluasi kegiatan dilakukan dengan mengisi kuesioner (tes angket). Pengabdian masyarakat ini melakukan pre-test dan post-test.
Targeted protein degraders of SARS-CoV-2 Mpro demonstrate superior antiviral activity over enzymatic inhibition alone and potency against nirmatrelvir resistant virus
Authors: Warner Nadia , Pan Baolong , Mountford Simon , Anderson Danielle , Jarman Kate , Tilmanis Danielle , Maher Belinda , Shortt Jake , Thompson Philip , Greenall Sam , Papadakis Georgina , Tran Thomas , Kiso Maki , Yamayoshi Seiya , Kawaoka Yoshihiro 
Published: November 2024

Abstract

Targeted viral protein degraders, which enable physical elimination of viral protein target to inhibit all its primary and ancillary functions, could provide a new avenue to more effective antiviral drugs, overcoming the limitations associated with conventional inhibition-based direct-acting antiviral approaches, such as the selection of antiviral resistance. We have adapted SARS-CoV-2 Mpro inhibitors into a panel of targeted protein degraders and found three compounds, derived from clinically approved nirmatrelvir and utilising VHL or IAP ubiquitin ligase recruiters, capable of degrading Mpro protein in a concentration, time and host proteasomal dependent fashion, whereas size matched non-degrading controls and nirmatrelvir could not. The compounds also degraded nirmatrelvir-resistant mutant Mpro protein and demonstrated enhanced anti-SARS-CoV-2 antiviral activity against multiple wildtype and nirmatrelvir-resistant strains compared to precisely matched non-degrading control molecules. This work demonstrates the feasibility of generating targeted protein degraders from established viral protein inhibitors and confirms that degraders possess superior antiviral potency compared to size matched enzymatic inhibitors.
The Expected Impact of HIV Post-Treatment Control and HIV Elimination on Quality of Life, Sexual Satisfaction, and Stigma Among People With HIV and Key Populations
Authors: Romijnders Kim , Romero Franco , Matser Amy , Verburgh Myrthe , Dijkstra Maartje , Reiss Peter , Kretzschmar Mirjam , NIEUWKERK Pythia , LOEFF Maarten SCHIM VAN DER , Basten Maartje , Rozhnova Ganna 
Published: November 2024

Abstract

Objective This study explored the expected impact of two hypothetical HIV cure scenarios on quality of life (QoL), sexual satisfaction, and stigma among people with HIV (PHIV) and key populations (i.e., partners of PHIV, family members, friends and other contacts, and MSM without HIV) in the Netherlands.
Design A cross-sectional survey was conducted among PHIV and key populations in the Netherlands from October 2021 until June 2022. Methods QoL, sexual satisfaction, and stigma were assessed with an online survey to compare participants’ current situation and for two hypothetical HIV cure scenarios: HIV post-treatment control (PTC), where HIV is suppressed without the need for ongoing antiretroviral treatment (ART), but the viral reservoir is expected to persist, and HIV elimination, where HIV is completely removed from the body.
Results PHIV (n=222) expected improved QoL and sexual satisfaction, as well as reduced stigma compared to their current situation following both PTC and elimination. Key populations (n=495) similarly expected improvements for both HIV cure scenarios, except no expected improvement was found for QoL following PTC. The expected impact of a cure on QoL, sexual satisfaction, and stigma varied by age. Participants aged between 18 and 34 years expected greater improvement following both cure scenarios compared to older participants.
Conclusion Both PHIV and key populations without HIV expect an HIV cure to have a positive impact on QoL, sexual satisfaction, and stigma. This impact is expected not only for HIV elimination but also for HIV PTC, the development of which appears more feasible.
Different types of cluster membership in parallel-group cluster-randomised trials, where the clusters are institutions: A classification system to aid identification, with six proposed designs
Authors: Marsden Laura E , Surr Claire A , Griffiths Alys W , Farrin Amanda J , Copas Andrew J , Walwyn Rebecca EA 
Published: November 2024

Abstract

Background: Four main types of cluster-randomised trial (CRT) are well known: parallel-group (PG), factorial, stepped-wedge and crossover designs. This established typology relates to how clusters are exposed to intervention(s) or control(s) during the trial. Published guidance is lacking on how to link design features to how individuals within clusters may be exposed and measured. Thus, the aim of this paper was to develop a classification system for different types of cluster membership in CRTs, focussing on PG designs and building on our experiences of delivering a care home trial.
Methods: The classification system was developed in seven stages: i) a scoping review was conducted to explore use of open-cohort PG-CRTs in a range of settings; ii) a version of the classification system was developed, using the stepped-wedge CRT typology; iii) this was tested using a sample of published trials from the scoping review; iv) a second version was developed, reviewed and further amendments made to aid clarity; v) 15 trialists with experience of CRTs in a range of settings provided feedback in a one-day, face-to-face user engagement workshop; vi) a wider group of 39 trialists completed an online survey, providing examples and additional feedback; and vii) all authors reviewed and approved the final version.
Results: Six types of cluster membership in PG-CRTs are proposed: the closed-cohort and cross-sectional designs already established, a new-admission-continuous-recruitment, open-cohort with discrete-recruitment, open-cohort with continuous-recruitment, and a non-standard closed-cohort design. The final classification system is made up of six core design features and five additional design considerations. Diagrams of each type of cluster membership are introduced and used to illustrate examples.
Conclusions: Implications of distinctions between the six types of cluster membership for the statistical analysis requires further research. CONSORT guidance needs updating to include specific guidance on reporting the type of cluster membership alongside the description of how design features apply to clusters. Further methodological research is required into both the statistical and the practical implications of adopting previously unlabelled but frequently used types of cluster membership.
Remote clinical decision support tool for Parkinson's disease assessment using a novel approach that combines AI and clinical knowledge
Authors: Rom Harel , Peleg Ori , Rom Yovel , Mirelman Anat , Blumrosen Gaddi , Maidan Inbal 
Published: November 2024

Abstract

Background
Early diagnosis of Parkinson’s disease (PD) can assist in designing efficient treatments. Reduced facial expressions are considered a hallmark of PD, making advanced artificial intelligence (AI) image processing a potential non-invasive clinical decision support tool for PD detection.
Objective
To determine the sensitivity of image-to-text AI, which matches facial frames recorded in home settings with descriptions of PD facial expressions, in identifying disease and disease severity.
Methods
Facial image of 67 PD patients and 52 healthy-controls (HCs) were collected via standard video recording. Using clinical knowledge, we compiled descriptive sentences detailing facial characteristics associated with PD. The facial images were analyzed with OpenAI's CLIP model to generate probability scores, indicating the likelihood of each image matching the PD-related descriptions. These scores were used in an XGBoost model to identify PD patients with "slight" and "mild" severity based on the total, motor, and facial-expression item of the MDS-UPDRS, a common scale for assessing disease severity.
Results
The image-to-text AI technology showed the best results in identifying PD patients based on the facial expression item (AUC = 0.78 ± 0.05), especially for those at the 'mild' stage (AUC = 0.87 ± 0.04). The motor MDS-UPDRS score followed (AUC = 0.69 ± 0.05), while the total MDS-UPDRS score showed the lowest performance in identifying PD patients (AUC = 0.59 ± 0.05). Regression analysis of PD severity scores revealed significant correlations across all MDS-UPDRS components (r > 0.23, p < 0.0001).
Conclusions
Our results demonstrate the feasibility of using advanced AI in a clinical decision support tool for PD diagnosis, suggesting a novel approach for home-based screening to identify PD patients. This method represents a significant innovation, transforming clinical knowledge into practical algorithms that can serve as effective screening tools.
Crosstalk between gut microbiota and cancer chemotherapy: Current status and trends
Authors: Yang Shanshan , Hao Shaodong , Ye Hui , Zhang Xuezhi 
Published: November 2024

Abstract

Background
Chemotherapy is crucial in the management of tumors, but challenges such as chemoresistance and adverse reactions frequently lead to therapeutic delays or even premature cessation. A growing body of research underscores a profound connection between the gut microbiota (GM) and cancer chemotherapy (CC). This paper aims to pinpoint highly influential publications and monitor the current landscape and evolving trends within the realm of GM/CC research.
Methods
On October 1st, 2023, a comprehensive search for GM/CC publications spanning the past 20 years from 2004 to 2023 was conducted utilizing the Web of Science Core Collection (WoSCC). The scope encompassed both articles and reviews, and the data was subsequently extracted. To gain insights into the evolution and dynamics of this research field, we employed bibliometric analysis tools such as the Bibliometrix R package, VOSviewer, and Microsoft Excel to visualize and analyze various dimensions, including prominent journals, leading authors, esteemed institutions, contributing countries/regions, highly cited papers, and frequently occurring keywords.
Results
A total of 700 papers were obtained. The number of publications about GM/CC studies has increased gradually. China and the United States published the largest number of papers. The INSERM was in the leading position in publishers. The most productive authors were Zitvogel L from France. Cancers had the largest number of papers. Citation analysis explained the historical evolution and breakthroughs in GM/CC research. Highly cited papers and common keywords illustrated the status and trends of GM/CC research. Four clusters were identified, and the hot topics included the role of the GM in the efficacy and toxicity of CC, the targeting of the GM to improve the outcome of CC, the mechanism by which the GM affects CC, and the correlation of the GM with carcinogenesis and cancer therapy. Metabolism, GM-derived metabolites, immunity, intestinal barrier, tumor microenvironment, and tumor microbiota may become the new hotspots and trends of GM/CC research.
Conclusion
This study analyzed global publications and bibliometric characteristics of the links between GM and CC, identified highly cited papers in GM/CC, provided insight into the status, hotspots, and trends of global GM/CC research, and showed that the GM can be used to predict the efficacy and toxicity of CC and modifying the GM can improve the outcomes of chemotherapeutics, which may inform clinical researchers of future directions.
How Would Different Solar PV Systems Perform Under Tropical Environments?
Authors: Femin V. , Veena R , Petra M. I. , Mathew S. 
Published: November 2024

Abstract

In this paper, we analyze and compare the performance of six different solar PV technologies in tropical environments, using three years of performance data from a 1.2 MW experimental solar facility. The technologies considered include single-crystalline silicon, polycrystalline silicon, microcrystalline silicon, amorphous silicon, copper indium selenium (CIS), and hetero-junction with intrinsic thin layer (HIT). The field performances of these cells were initially assessed using standard performance indices such as Array Yield, Reference Yield, Capture Loss, Performance Ratio, and Efficiency Ratio. Among the technologies studied, amorphous silicon and HIT-based systems demonstrated superior performance, showing higher Performance and Efficiency Ratios, along with lower capture losses. This study also modelled the fluctuations in power production from these panels. Under probabilistic modeling, the ramping behavior of the systems was characterized using the Generalized Logistic Distribution. The HIT-based system showed the highest probability for fluctuations, while the ramp rates of the Micro-Crystalline Silicon and CIS-based systems were the lowest. To predict minute-wise and hourly ramping of the PV systems under varying levels of solar insolation, machine learning methods such as Artificial Neural Networks (ANN), Support Vector Machines (SVM), and k-Nearest Neighbors (kNN) were employed. With a Normalized Root Mean Square Error (NRMSE) of over 96%, these models demonstrated high accuracy in capturing the ramping characteristics of the studied PV systems. The results of this study offer valuable insights into the performance of different PV systems in tropical regions, which can be used in efficiently designing and managing solar PV projects.