bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Face-in-the-Crowd attentional bias modification task improves mood but not through modified attentional biases: a randomised experimental trial
Authors: Skvarc David R. , Hyder Shannon , Hayley Alexa 
Published: July 2023

Abstract
Attentional and cognitive biases related to psychological distress have been modified in clinical samples. This study investigates whether such biases can be detected and changed in a community sample and whether such training can reduce psychological distress. Participants were randomly assigned to an experimental or control condition and assessed at baseline, seven days, and 30 days follow-up. We operationalised attentional biases as target search latency in milliseconds. Results showed limited evidence of attentional biases in participants with higher trait mood distress. However, significant correlations were found in the experimental condition at day thirty, indicating a relationship between task latency and stress, as well as changes in latency and depression. Curiously, we observed some evidence of improvement in mood after the intervention. Participants in the control condition reported the greatest improvements in mood and psychological distress, while effects in the experimental condition were largely changes in attentional biases. These findings suggest that while attentional biases associated with psychological distress are obscured in community samples, the use of a bias modification intervention can be effective in eliciting a positive bias which, in turn, improves mood. This study highlights the potential for attentional bias modification in treating psychological distress symptoms.
Construction and Application of Prescription Knowledge Graph Based on Deep Learning
Authors: Zhang Jianhao , Jiang Wei , Zhou Kaiqing 
Published: July 2023

Abstract
To address the issues of severe fragmentation of Traditional Chinese Medicine (TCM) prescription knowledge and single knowledge representation, a standardized and visualized prescription knowledge graph is created by extracting the medical case data and prescription information based on the TCM medical cases and prescription codices, and incorporating external knowledge, such as prescription ion-evidence relationships. The collected and organized prescription data is initially recognized and extracted from the entities to obtain attributes like prescription name, composition, function and treatment, symptoms, etc. Second, a knowledge graph of prescriptions is constructed top-down, and Neo4j's Cypher is used to manipulate and visualize the prescription data. Finally, the tongue image samples are trained for tongue image discrimination using the Faster R-CNN of deep learning. Based on the fusion of tongue results, a prescription knowledge graph recommendation system for tongue diagnosis is created. To improve the clinical analysis of TCM diagnosis, the system can use to carry out operations like querying prescription information and automatically generating prescription recommendations based on the results of the tongue diagnosis. The results in the realization of personalized treatment method ds in TCM and a new idea and method for prescription recommendation in TCM.
A Two-layer Intrusion Detection System based on Fog and Cloud using Improved KNN and MPNN
Authors: Kaffash Ali , Kamel Seyed Reza , Kheirabadi Maryam 
Published: July 2023

Abstract
The concept of Internet of Things (IoT) and its countless applications are considered as an inseparable part of modern technology era. The placement of IoT- based devices and their limitations make the environment more vulnerable due to its openness. Security plays a critical role in IoT applications due to pervasiveness of the IoT in all of the aspects in daily life. from the other hand final devices such as their limited computing power, large number of devices connected to each other, and communication between devices and users do not allow for using traditional methods to solve security issues. Intrusion detection systems (IDSs) which can separate malicious traffic from normal mode are among the effective solutions in this field. the installed IDS should be highly accurate and light weight to affect accuracy. In order to bring services closer to electronic devices, a concept called "fog" has emerged. A large number of studies have been conducted to make the light IDS for IoT network utilizing various methods. The present study aims to propose two-layer hierarchical IDS based on machine learning, which detects attacks by considering the limitations of IoT resources. In order to create an efficient and accurate IDS, the combination of two improved K-nearest neighbor (KNN) algorithms and multi-layer perceptron (MLP) neural network applied in the fog and cloud to separate the attacks from normal traffic, respectively. we evaluated our proposed method using IOT23 dataset. The results prove the improvement in accuracy, compared to the previous methods.
Direct power decoupling control using optimal switching table combined with virtual flux estimator for PWM rectifier
Authors: Bouaziz Bechir , Bacha Faouzi 
Published: July 2023

Abstract
This paper presents the design and implementation of a Direct Power Control (DPC) based on virtual flux estimator and optimal Switching Table (VF-ST-DPC) for a three phase PWM rectifier. The proposed approach is based on the combination of the DPC technique principle, virtual flux estimator technique and an optimal switching table (ST) to select the optimal converter vector control. The objectives of approach are to solve the cross-coupling between the instantaneous active and the reactive power for each sector and improve the harmonic line currents. Thus, the proposed method is realized in the fixed coordinate frame, so, does not require Park’s transformation and the voltage grid synchronization is achieved by a virtual flux estimation method. Both, experimental results based on the dSPACE DS1104 card show that the VF-ST-DPC guarantees a smooth and decoupled control of instantaneous active and reactive power and provide a low harmonic (THD = 4.6%) by verifying the expected performances of the proposed method under steady-state and transient operation.
Assessment of hybrid MPPT for SPV based high gain cubic boost converter interfaced with reduced switch multilevel inverter for power quality enhancement
Authors: J Veerabhadra , S Nagaraja Rao 
Published: July 2023

Abstract
A high-gain cubic boost converter (HG-CBC) with hybrid-based maximum power point tracking (MPPT) through a neural network (NN) aided by the P&O technique (HNN-PO MPPT) has been suggested to acquire optimum power from a solar photovoltaic (SPV) model under varying climatic conditions. The SPV's output is enhanced using the suggested HG-CBC as per the requirement. A detailed comparison of different conventional boost converters (BC) with the suggested HG-CBC is presented and it mainly highlighting on part count and boost factor (B). Using the MATLAB tool, the functionality of the developed HNN-PO MPPT technique has been examined for constant and different irradiation (G) levels. The hybrid-based MPPT helps quickly attain maximum power point (MPP) with minimum oscillations at the output. The convergence period is very short with high precision in comparison with P&O and NN MPPT. The results are examined between the suggested and traditional MPPT methods in relation to % of oscillations and rise time. The Reduced Switch Multilevel Inverter (RSMLI) is proposed to integrate the SPV with the RL load. The RSMLI is compared with the conventional standard five-level MLI in relation to the quantity of DC sources, diodes, switches, capacitors, and other parts utilized. The suggested MLI involves a reduced switch count, which mitigates the overall losses during switching and hence improves the efficiency of an inverter. MLI switches are controlled using a sine PWM modulation technique. The THD of output current of five-level RSMLI is 4.47% and it falls within the IEEE 519 norm. Hence, output power quality is enhanced.
Near-ideal Absorption High Oblique Incident Angle Stable Metamaterial structure for visible to infrared Optical Spectrum Applications
Authors: Billa Md. Bakey , Hakim Mohammad Lutful , Alam Touhidul , Islam Mohammad Tariqul , Misran Norbahiah 
Published: July 2023

Abstract
The Metamaterial Absorber (MA) has emerged as a game-changing tool for various applications such as photodetectors, plasmonic sensors, energy harvesting, imaging, solar cells, optical modulators, and more. The proposed MA comprises a metal-dielectric-metal structure (Ni-SiO2-Ni) to achieve over 90% absorption bandwidth from 360 nm to 1750 nm. The average absorption at the operational wavelength is 94.47%, and a peak absorption of 99% appears at 900 nm. The designed MA shows polarization insensitivity and oblique incident angle stability up to 60˚. Parametric design analysis, electric field, magnetic field, surface current distribution, and temperature distributions have been investigated to comprehend the absorption characteristics of the MA. The Polarization Conversion Ratio (PCR) result shows the proposed MA as a perfect absorber rather than a polarization converter. The effect of concave and convex bending has also been investigated up to 16˚, validating the stable absorption behavior. Finally, the designed MA can be a potential candidate for visible and optical window applications such as solar energy harvesting, photodetectors, light trapping, etc.
Projectile Energy and Entrance Channel Mass-Asymmetry Effects on Incomplete Fusion of 12C + 169Tm, 16O + 169Tm and 16O + 75 As Systems at 4 — 7.5 MeV/Nucleon Energy Beam
Authors: Kebede Getahun 
Published: July 2023

Abstract
This study focus on the correlation between entrance channel properties and incomplete fusion reaction. The dynamics of heavy-ion fusion reactions involved in the interaction of 12C and 16O with 169Tm and 75 As targets were examined at 3 — 8 MeV/Nucleon specific energies. The influence of projectile energy and entrance channel mass-asymmetry on the incomplete fusion process in the interaction of 12C + 169Tm, 16O + 169Tm and 16O + 75 As systems at energies ranging from 4 — 7.5 MeV/Nucleon was examined in this study. The PACE4 statistical model was used to compare and analyze the measured cross sections from the EXFOR data base. The values of level density parameter, which is a sensitive input parameter, were optimized using a representative non-a-emitting channel from the respective systems. The experimentally measured excitation functions for representative non α-emitting channels were found to be in good agreement with the theoretical predictions in general. However, for α-emitting channels in the current systems, the measured excitation functions were greater than the theoretical model code predictions, which could be attributed to incomplete fusion reaction at these energies. The observed enhancements in α-emitting channels were attributable to the contribution coming from incomplete fusion reactions. The incomplete fusion fraction, which explains the relative relevance of incomplete fusion processes, was attempted to be approximated. The incomplete fusion fraction was shown to be sensitive to the projectile energy and mass-asymmetry of the entrance channel. Further, the results showed that incomplete fusion reactions were higher for more mass-asymmetric systems than mass-symmetric one.
Anais IV Congresso Sul Mineiro de Nutrição - IV SULMINUTRI, 2022
Authors: Paulino Alice Helena de Souza , Lima Daniela Braga , Azeredo Eveline Monteiro Cordeiro de , Fernandes Gislene Regina , Lourenção Luiz Felipe de Paiva , Simões Tania Mara Rodrigues 
Published: July 2023

Caro(a) leitor(a),
O IV Congresso Sul Mineiro de Nutrição (IV SULMINUTRI) realizado entre os dias 19 e 21 de outubro de 2022, de forma virtual, apresenta-se vinculado ao Núcleo de Alimentação Escolar e Saúde Interdisciplinar (NAESI) da Faculdade de Nutrição (FANUT) da Universidade Federal de Alfenas e a sua realização é uma parceria com Centro Universitário do Sul de Minas (Grupo UNIS). O tema proposto para a IV edição do SULMINUTRI, “Alimentação e Nutrição na atualidade: desafios e oportunidades”, foi motivado pelas mudanças ocorridas nos últimos dois anos decorrentes da pandemia por COVID-19 na vida da sociedade e com reflexos na atuação dos profissionais de saúde, inclusive dos nutricionistas. Dessa forma, o evento se coloca como contribuição significativa para a formação crítica e ética dos discentes e profissionais de Cursos de Nutrição e áreas afins, complementando e enriquecendo o processo de aprendizagem.
Comissão Organizadora - IV Congresso Sul Mineiro de Nutrição, IV SULMINUTRI - 2022
Explorando la actitud docente en el e-learning: Un enfoque cualitativo desde la perspectiva de docentes y estudiantes
Authors: Rodríguez Paredes Santiago Avelino , Ledesma Pérez Fernando Eli 
Published: July 2023

La actitud docente en el modelo e-learning es un sistema de evaluaciones positivas o negativas de los sentimientos y tendencias de acción favorable o desfavorable respecto a la enseñanza a través de tecnologías digitales. Se construye por interaccionismo simbólico, relaciones basadas en la libertad y creatividad; la teoría conectivista explica que el aprendizaje y el conocimiento se dan por medio de las redes. Esta investigación busca comprender la actitud docente en e-learning desde su propio discurso y el de los estudiantes de una universidad privada de Lima, Perú. El enfoque fue cualitativo, los datos se acopiaron con entrevista semiestructurada a profundidad en estudiantes del sexto ciclo de Arquitectura; el diseño fue fenomenológico hermenéutico; la muestra, de cuatro docentes y seis estudiantes; el análisis se realizó con el método interpretativo de Heidegger con auxilio del software cualitativo.
Los resultados se ilustran con redes semánticas; se encontró, desde los estudiantes, que la actitud docente está basada en sus creencias, sentimientos, saberes y acciones, y fue positiva; se mejoró el logro de aprendizajes y el tránsito de lo presencial a lo virtual se hizo sin problemas; desde la perspectiva de los docentes, su actitud fue favorable con una enseñanza positiva y beneficiosa.
1,3,4-Oxadiazole and Its Analogs: Recently Adopted Synthetic Approaches and Interaction with Targets
Authors: Kumar Greesh , Kumar Rajnish , Mazumder Avijit , Salahuddin  , Kumar Upendra 
Published: July 2023

:
1,3,4-Oxadiazole is a five-membered heterocyclic compound with one oxygen, two nitrogen,
and two carbon atoms arranged in a ring. Several research reports, patents, and marketed drugs have already
established 1,3,4-oxadiazole and its analog as potential molecules having a diverse range of pharmacological
activities. In this review, we focused on recently acknowledged straightforward synthesis
approaches for 1,3,4-oxadiazole and its analogs. Additionally, interactions of the 1,3,4-oxadiazole derivative
with different biological targets (enzymes and receptors) have been described. The present findings
discussed in this review analysis will aid researchers in conducting future research on 1,3,4-oxadiazole.
Non-wood Plants as Sources of Cellulose for Paper and Biodegradable
Composite Materials: An Updated Review
Authors: Mathura Farrah , Maharaj Rohanie 
Published: July 2023

Background:
Non-wood plant parts provide unique opportunities for cellulose for paper
manufacture and offer advantages over wood, such as less harsh chemicals and lower lignin
content.

Objective:
This review examined several cellulose extraction procedures from non-wood sources,
such as leaves, stems, grass, straw, fruit peels, and husks.

Methods:
Acid and alkali extraction, oxidation, and bleaching were the main techniques used.
Corresponding mechanical properties of cellulose derivatives were also reviewed, with tensile
strength being the most reported property, with variability among the species and products. Additives
were also explored to improve the properties of non-wood paper.

Results:
Further processing of cellulose into nanocrystalline cellulose enabled the manufacture of
biodegradable composites with a wide range of utilities in wastewater treatment, reinforcing materials,
alternatives to plastics and circuit boards for nanotechnology applications. Various methods
now available for cellulose extraction provide scientists with several efficient options for different
plant materials with beneficial properties.

Conclusion:
Non-wood cellulose has found its uses in several industries, but further research
may consolidate these attempts.
Assessing the Readability of Online Patient Education Materials in Obstetrics and Gynecology Using Traditional Measures: Comparative Analysis and Limitations
Authors: Nattam Anunita , Vithala Tripura , Wu Tzu-Chun , Bindhu Shwetha , Bond Gregory , Liu Hexuan , Thompson Amy , Wu Danny T Y 
Published: July 2023

Background
Patient education materials (PEMs) can be vital sources of information for the general population. However, despite American Medical Association (AMA) and National Institutes of Health (NIH) recommendations to make PEMs easier to read for patients with low health literacy, they often do not adhere to these recommendations. The readability of online PEMs in the obstetrics and gynecology (OB/GYN) field, in particular, has not been thoroughly investigated.

Objective
The study sampled online OB/GYN PEMs and aimed to examine (1) agreeability across traditional readability measures (TRMs), (2) adherence of online PEMs to AMA and NIH recommendations, and (3) whether the readability level of online PEMs varied by web-based source and medical topic. This study is not a scoping review, rather, it focused on scoring the readability of OB/GYN PEMs using the traditional measures to add empirical evidence to the literature.

Methods
A total of 1576 online OB/GYN PEMs were collected via 3 major search engines. In total 93 were excluded due to shorter content (less than 100 words), yielding 1483 PEMs for analysis. Each PEM was scored by 4 TRMs, including Flesch-Kincaid grade level, Gunning fog index, Simple Measure of Gobbledygook, and the Dale-Chall. The PEMs were categorized based on publication source and medical topic by 2 research team members. The readability scores of the categories were compared statistically.

Results
Results indicated that the 4 TRMs did not agree with each other, leading to the use of an averaged readability (composite) score for comparison. The composite scores across all online PEMs were not normally distributed and had a median at the 11th grade. Governmental PEMs were the easiest to read amongst source categorizations and PEMs about menstruation were the most difficult to read. However, the differences in the readability scores among the sources and the topics were small.

Conclusions
This study found that online OB/GYN PEMs did not meet the AMA and NIH readability recommendations and would be difficult to read and comprehend for patients with low health literacy. Both findings connected well to the literature. This study highlights the need to improve the readability of OB/GYN PEMs to help patients make informed decisions. Research has been done to create more sophisticated readability measures for medical and health documents. Once validated, these tools need to be used by web-based content creators of health education materials.
Efek Pemberian Metformin dan Metformin+Glimepiride terhadap Kadar HbA1c pada Pasien Diabetes Mellitus Tipe 2
Authors: Apriliany Fitri , Cholisah Elis , Erlianti Karina 
Published: July 2023

Diabetes is a chronic metabolic disease and management of DM begins with a helthy lifestyle with early administration of antidiabetic drug. Metformin is the first line therapy in the management of DM. Combination therapy is given if blood sugar level and HbA1c level cannot be controlled with single therapy. This study aimed to determine the effect of giving metformin and metformin+glimepiride on HbA1c levels in DM2 patients. The inclusion criteria were patients DM, received oral antidiabetic at least 6 months, completed medical record, and can speak Indonesia. Exclusion criteria included DM patients receiving insulin therapy, TB patients, patients with mental disorders, and pregnant/breastfeeding women. Sociodemographic data, description of prescribing patterns, and achievement of HbA1c levels were described descriptively. Data analysis using the Wilcoxon test. Respondents in this study were 69 patients, dominated by women (71%). The types of therapy used were metformin (59.4%) and metformin+glimepiride (40.6%). Achievement of metformin + glimepiride HbA1c levels (67.9%), metformin (48.8%). The difference in decreasing HbA1c levels with metformin (-0.31%±0.38 mg/dL) and metformin+glimepiride -0.33%±0.54 mg/dL (p = 0.000). The results of the analysis showed that there is a significant effect of metformin alone on decreasing HbA1c levels and the addition of glimepiride (metformin + glimepiride) on reducing HbA1c levels in diabetes cannot be controlled with metformin. The implication of this study is as input for comprehensive management guidelines that can be used in an effort to reduce the prevalence of DM. Good management is needed to achieve therapeutic outcomes.
Analisis Pewarna Merah Pada Makanan Jajanan Anak-Anak Yang Dijual Di Sekolah TK dan SD di Wilayah Jakarta Timur
Authors: Fatimah Nisma  , Wijiastuti Wijiastuti , Siska Putri Elfia 
Published: July 2023

Warna merah adalah warna yang banyak disenangi anak-anak, sehingga makanan jajanan yang berwarna merah lebih disukai. Pewarna merah yang ditambahkan dalam makanan seharusnya adalah pewarna alami untuk makanan. Seringkali pewarna pada jajanan anak-anak menggunakan pewarna sintetik yang dilarang penggunaannya untuk makanan seperti pewarna rhodamin B atau pewarna sintetik lain yang dibatasi penggunaannya seperti karmoisin, eritrosin dan Ponceau 4R. Akibat penggunaan zat warna sintetik itu dapat membahayakan kesehatan bahkan dapat menimbulkan kanker dan penyakit berbahaya lainnya. Tujuan penelitian ini adalah melakukan analisis pewarna yang digunakan pada makanan jajanan anak-anak yang berwarna merah di wilayah Jakarta Timur. Pengambilan sampel penelitian dilakukan di sekolah- sekolah TK dan SD yang ada di Jakarta Timur, diperoleh sampel 173 makanan padat dan 20 minuman yang berwarna merah, sampel dikelompokkan lagi menjadi 90 sampel uji. Analisis pewarna merah dilakukan secara kualitatif dengan metode kromatografi kertas dan spektrofotometer visibel dengan membandingkan nilai Rf sampel uji dengan kromatogram pembanding pada kromatografi dan membandingkan absorbansi dan panjang gelombang maksimum pada spektrofotometer. Hasil yang diperoleh adalah pewarna merah yang terkandung pada makanan jajanan anak TK dan SD di wilayah Jakarta Timur adalah Karmoisin 13, Ponceau 4R 9, Eritrosin 2 dan Rhodamin 3 sampel.
APROXIMAÇÕES FILOSÓFICAS E HISTÓRICAS ENTRE A TEOLOGIA DA EDUCAÇÃO E A PEDAGOGIA SOCIAL
Authors: Vieira Klyvia Larissa de Andrade Silva , Souza Sueli Ribeiro Mota 
Published: July 2023

O presente artigo apresenta um recorte histórico da Teologia da Educação em seus fundamentos filosóficos e pedagógicos. Nesse sentido apresentamos os fundamentos que aproximam a Filosofia e a Teologia, na compreensão da realidade. As práticas educativas estão presentes na história da humanidade e na sua relação existencial e transcendental. Assim, a Teologia da Educação presente na religiosidade da igreja cristã elabora um fundamento educativo, com vistas a propagação e manutenção de sua profissão. A Pedagogia Social compreende que práticas educativas não são exclusivas de espaços formais de educação. Assim, objetivamos fomentar uma reflexão dos aspectos educativos que estão presentes na história e nos pressupostos filosóficos na religião e na religiosidade.