bluuebunny/crossref_metadata_2025_split huggingface dataset:
Case report: Applied behavior analysis in a case of anomic aphasia in post-acute myocardial infarction with cardiac arrest and brain hypoxia: results of tact-training
Authors: Catania Valentina , D’Angelo Guido , Panerai Simonetta , Lanuzza Bartolo , Ferri Raffaele 
Published: June 2024

PurposeApplied Behavior Analysis (ABA) tact-training was provided to an adult with post-stroke anomic aphasia, with the main purposes to improve naming of pictures, with a possible generalization to another different setting, through telehealth sessions.MethodThe Multiple probe experimental design across behaviors was used. Two sets of stimuli were used (SET 1 and SET 2), including 60 laminated photos, belonging to three different categories for each set. Procedure included the baseline, the intervention phases (face-to-face and telehealth sessions), and the follow-up (1 month after the end of a tact training).ResultsFor both, SET 1 and SET 2, the mastery criterion (80% correct stimulus tacts, for three consecutive times, simultaneously for all categories) was achieved. No increased percentage of correct picture tacts was found for untrained items. At follow-up, the patient provided 70 to 100% correct responses. For both SET 1 and SET 2, telehealth did not modify the correct response trends.ConclusionThe results of our study seem to suggest that specific tact-training procedures might be successfully carried out in adult and elderly people with post-stroke aphasia. It also appears necessary to arrange protocols providing telehealth sessions, with benefits for both families and the health system.
The association between symptomatic remission and social support in community-dwelling schizophrenia patients during COVID-19
Authors: Yao Lansicheng , Liu Hongying , Pan Qiuyu , Tian Xiaobing 
Published: June 2024

IntroductionSchizophrenia is a severe and enduring psychiatric disorder, characterized by substantial challenges in achieving symptomatic remission. Up to now, there have been limited studies examining the association between remission status and social support in patients with schizophrenia during COVID-19. This study aimed to investigate the remission status of community-dwelling schizophrenia patients during the pandemic and explore whether symptomatic remission is significantly associated with social support in a cross-sectional study.Methods727 schizophrenia patients were recruited using a cluster random sampling method in the local community. Face-to-face interviews were used to gather data on participants’ clinical characteristics, sociodemographic, social support, and symptomatic remission criteria. Logistic regression models were deployed to identify potential relationships between symptomatic remission and social support.ResultsAmong the 727 patients in our study, a substantial proportion of 522 (71.80%) achieved symptomatic remission, while 205 (28.2%) did not. Remarkably, those who achieved symptomatic remission exhibited a higher level of social support (28.32 ± 6.82) compared to those who did not. The proportion of patients achieving symptomatic remission in the low (19.4%), medium (46.2%), and high (34.3%) social support groups was 56.7%, 66.1%, and 88.0%, respectively. Moreover, the crude odds ratio for the association between social support and symptomatic remission was 3.20 (95% CI: 2.45–4.18). After controlling for all confounding factors, the adjusted odds ratio remained significant at 3.02 (95% CI: 2.30–3.97).DiscussionThis consistent association underscores the critical role of social support in influencing symptomatic remission among community-dwelling schizophrenia patients, especially during the COVID-19 pandemic. Reinforcing the utilization of social support for fostering symptomatic remission among individuals with schizophrenia who reside in the community during such crises is recommended.
Socioeconomic inequalities in human papillomavirus knowledge and vaccine uptake: evidence from a cross-sectional study in China
Authors: Gong Xiaoqian , Xu Jing , He Yuzhen , Zou Guofang , Liu Jing 
Published: June 2024

ObjectiveProviding the human papillomavirus (HPV) vaccine is effective to eliminate the disparity in HPV-related cancers. It is unknown regarding inequality in the distribution of HPV vaccination in China since the vaccine was licensed and approved for use in 2016. This study aimed to examine socioeconomic inequalities in HPV-related knowledge and vaccination and identified factors associated with such inequalities.MethodsSelf-administered questionnaires measuring HPV-related knowledge and vaccine uptake were completed by 1,306 women through online survey platform. HPV knowledge was assessed using a 12-item question stem that covered the hazards of HPV infection, HPV vaccine dosage, benefits, and protection. Cluster analysis by combining monthly household income, educational level, and employment status was used to identify socioeconomic status (SES) class. The concentration index (CI) was employed as a measure of socioeconomic inequalities in HPV-related knowledge and vaccination. Linear regression and logistic regression were established to decompose the contributions of associated factors to the observed inequalities.ResultsThe CI for HPV-related knowledge and vaccine uptake was 0.0442 and 0.1485, respectively, indicating the higher knowledge and vaccination rate were concentrated in groups with high SES. Education and household income made the largest contribution to these inequalities. Age, residency and cervical cancer screening were also important contributors of observed inequalities.ConclusionSocioeconomic inequalities in HPV-related knowledge and vaccination uptake are evident in China. Interventions to diffuse HPV-related information for disadvantaged groups are helpful to reduce these inequalities. Providing low or no-cost HPV vaccination and ensuring accessibility of vaccines in rural areas are also considered to be beneficial.
Control interno en la gestión financiera de los gobiernos autónomos descentralizados municipales
Authors: Pincay Bayas Narcisa Esperanaza , Cedeño Santana Olga , Mendoza Vinces Marcelo Eduardo 
Published: June 2024

En la actualidad, los GADs municipales se enfrentan constantemente a dificultades derivadas de inadecuadas gestiones financieras y administrativas y al incorrecto manejo del control interno. Este artículo de investigación tiene como objetivo general analizar el control interno en la gestión administrativa y financiera de los Gobiernos Autónomos Descentralizados municipales, tomando como referente el cantón Paján. En el aspecto metodológico, la investigación utilizó un enfoque mixto, aplicando instrumentos de recolección de datos cuantitativos y cualitativos, el tipo de investigación fue no experimental, descriptiva y de corte transversal. La población estuvo conformada por todos los ciudadanos que trabajan en el GAD Paján, la muestra fue no probabilística, de tipo intencional, considerando un total de 20 empleados ubicados en las Direcciones financiera y administrativa y el Alcalde del cantón Paján, quedando la muestra distribuida en 17 funcionarios en cargos públicos y 3 en cargos directivos. Las técnicas de recolección de información fueron la encuesta utilizando un cuestionario y la entrevista mediante un guión de entrevistas. El tratamiento de los datos se realizó utilizando la estadística descriptiva para los datos numéricos y el análisis de contenido simple para los datos cualitativos, mediante procesos de estructuración, categorización y triangulación. Se concluye que en los GADs municipales y en particular en el GAD Paján, no se aplica un control interno adecuado que permita evaluar correctamente la ejecución del presupuesto.
Green capabilities and procurement practices: paving the way for environmental sustainability
Authors: Imran Shahid , Sarbani Nor Bakhriah Binti , Tsikada Charles 
Published: June 2024

The significance of sustainability awareness in society has captured the attention of both scholars and professionals. The pursuit of environmental sustainability has transitioned from an aspiration to an urgent matter. Understanding the interplay between green capabilities and green procurement practices has become key to improving performance. This study investigated the nexus between green capabilities and the adoption of green procurement practices to improve their collective impact on environmental sustainability. Green capabilities and green purchasing practices were theorized. A conceptual framework was developed to address the sustainability problems in the supply chain. Quantitative research with a structured questionnaire was used to collect data from 203 respondents. The unity of analysis was the supply chain professionals working in fast moving markets in Oman. Validity and reliability of data was determined. A structural equation modelling was applied to analyse the data. The results show that the incorporation of green capabilities into green purchasing practices can lead to environmental sustainability. These findings provide supply chain managers with insights into implementing environmentally friendly practices within their respective entities. The government of Oman as a major purchaser of goods and services can lead by example by incorporating green procurement principles into its own procurement processes. Thus, the government can stimulate demand for sustainable goods and encourage private sector adoption of green practices.
Pengusaha Kecil Naik Kelas, Pelatihan Wirausaha Desa Tingkat Provinsi Jawa Barat
Authors: Sukandi Pipin 
Published: June 2024

Purpose: Sociologist David McClelland said that, if you want a developed country, at least 2% of the population is an entrepreneur. This was realized by the West Java provincial government to continue to intensify entrepreneurship training for the community, especially in Bandung Regency.
Method: This method was carried out offline in the form of entrepreneurial training for the community in Bandung Regency, starting with developing an entrepreneur’s mindset to create jobs for themselves and the surrounding community.
Results: The results will be continuous training, and in the future, it is hoped that there will be mentoring for those who open entrepreneurs.
Limitation: The limitation of this activity is in terms of time and cost, so it can only be implemented for the people of Bandung Regency, West Java Province.
Uncertainty in Aircraft Turbofan Engine Prognostics on the C-MAPSS Dataset
Authors: Salinas-Camus Mariana , Eleftheroglou Nick 
Published: June 2024

Prognostics and Health Management (PHM) plays a crucial role in maximizing operational efficiency, minimizing maintenance costs, and enhancing system reliability. Predicting Remaining Useful Life (RUL) is a key aspect of PHM, inherently incorporating uncertainty. This paper focuses on uncertainty quantification (UQ) within Data-Driven Models (DDMs), particularly Machine Learning (ML), such as Long Short-Term Memory (LSTMs), and stochastic models namely Hidden Markov Models (HMMs). While ML models emphasize accuracy, stochastic models offer a different paradigm for prognostics, directly addressing uncertainty. Traditional categorizations of uncertainty as aleatory and epistemic face challenges in practical implementation. This paper explores how, in prognostics, HMMs primarily tackle aleatory uncertainty, whereas LSTMs predominantly address epistemic uncertainty. It also discusses the complexities of uncertaintymanagement in prognostics and analyzes further an already proposed alternative approach to categorize uncertainties. Despite theoretical advancements, practical implementation remains challenging, especially for DL models due to their limited interpretability. This study sheds light on UQ challenges and offers insights for future research directions in prognostics.
Leveraging Generative and Probabilistic Models for Diagnostics of Cyber-Physical Systems
Authors: Alvaropiedrafita  , Barbini Leonardo 
Published: June 2024

A critical task for system operators is the precise identification of the root causes underlying an error situation. This identification is fundamental in deciding optimal maintenance actions, such as replacing a component versus calibrating it. However, the actual causes of an error are often neither measured nor unique. The measured quantities are the result of complex interactions between different error causes and system variables. Root cause identification in this context becomes a matter of inferring hidden causes from their measurable effects. This challenge is notably pronounced in cyber-physical systems comprising control loops. Control mechanisms, integral to maintaining system performance, introduce a layer of complexity in diagnostics and ultimately complicate the isolation of the underlying causes of errors. To address this challenge, we introduce a two-step approach to derive the hidden causes as a statistical inference task. First, we develop a generative model leveraging existing control software and expert-based insights into the mechanisms of errors, i.e., a simulator of synthetic data given some hidden error causes. Then, we transform the generative model into a probabilistic program on which statistical inference can be executed within a probabilistic programming language framework. This inference effectively estimates the hidden causes given some measured data from the system. Being intrinsically a statistical approach, these inferences come with a confidence interval. We applied this methodology to an industrial printer’s sheet transport belt, operating in a closed-loop configuration. Our approach successfully discerned the contributions of three distinct hidden causes to the belt’s deviation from its intended position. This paper highlights the efficacy of generative modeling followed by a probabilistic programming approach in unraveling complex interactions within cyber-physical systems for optimal maintenance.
A Practical Example of Applying Machine Learning to a Real Turbofan Engine Issue: NEOP
Authors: Hrncirzdenek  , Hickenbottom Chris 
Published: June 2024

There are high expectations for the use of Machine Learning algorithms in Engine Health Management, but the practical application for use with turbofan engines is often hindered by small sample sizes and noisy data. This paper discusses a case in which Machine Learning techniques were combined with domain expertise to develop a classifier called Non-seal Erratic Oil Pressure (NEOP). This classifier is used as an engineering tool to support manual review of engines flagged with Honeywell’s OPX (Oil Pressure Transducer) algorithm. The purpose of the classifier is to assist a human in analyzing engine trend data from the HTF7000 turbofan engine, when the OPX algorithm identifies an engine with erratic oil pressure. The NEOP history provides an additional data source when deciding if aft sump maintenance is needed to replace a worn carbon seal, or if the erratic signal is associated with some other cause. The OPX algorithm has enabled the prevention and avoidance of costly unscheduled engine failures resulting in millions of dollars in documented savings, and the NEOP algorithm helps to ensure that the conclusions from the OPX process continue to result in the appropriate engines being identified for maintenance inspection and corrective action.
Teaching Strategies Applied by EFL Teachers at Inclusive Classroom: An Learning Experince Learnt from Inclusive Classes
Authors: Neliyam Tiraeni  , Lalu Ari Irawan  , Arif Rahman  
Published: June 2024

The term inclusion in the field of education is broadly defined as the incorporation of students with disabilities or those with special needs into general classrooms. In this regard, inclusive education represents a concept of education with the aim of fulfilling human rights in terms of education without any sense of discrimination. Therefore, this study aimed to explore the pedagogical strategies used by teachers to teach English in inclusive classrooms. This study applies a descriptive qualitative method embracing the data collection techniques; observation, interviewing, and note-taking. The subject of this research was English teachers in the 9th grade of SMP IT Al Qimah. To analyze the data from observation, and interview, this study used data condensation, data visualization, and conclusion/verification. The results of this study show that English teachers at the immersion level apply two strategies when teaching English: active learning strategy and cooperative learning strategy. The problem that teachers encounter is the difficulty in choosing learning materials and controlling students' moods. To solve problems related to teaching English in inclusive classrooms, teachers should share and discuss with after-school teachers about students' abilities and learning goals. In addition, to enrich skills and knowledge dealing with the problems in teaching English in inclusive classes, teachers need to read many reference materials. Based on the result of the study, it is suggested that the teacher provide a smart solution besides, only sharing with shadow teachers and finding out a lot of references dealing with teaching strategies for inclusive students. Those solutions provide teachers with a lot of new insight and creativity to overlook the problems.
Improving Students’ Writing Skills in Composing Descriptive Texts with Clustering Technique: A Lesson Learned from Vocational Schools
Authors: Jamaluddin  , Jupri  , Arif Rahman  , Hassan Ahmad Javed 
Published: June 2024

This study investigates the use of clustering techniques to improve students' writing skills in composing descriptive texts. This study used Classroom Action Search (CAR) as the research method. This study consisted of two cycles. Each cycle consists of four steps: Planing, Action, Observation, and Reflection. The researchers conducted this study over almost a month, as each cycle was conducted in three sessions. To collect and analyze the data, the study used information from interviews, observations, questionnaires, and students' pre-test and post-test performance to corroborate the data collected. The results of this study indicate that using clustering techniques in teaching descriptive writing can improve students' writing skills. The students' responses showed that they were interested in learning the subject of writing because they found it easy to write using this technique. Additionally, students' ability on pre-test and post-test showed significant improvement. Therefore, the average value for pre-test was 37.30. In the first cycle, the average was 71.60. On the other hand, the average for the second cycle was 80.45. This means that there was an average improvement of 34.30 points or 91.96% from the student's score from pre-study to the first cycle, and an improvement of 43.14 points or 115.66% in the average score compared to the student's score from pre-study to the second cycle. Based on the this result, the study concluded that teaching descriptive English writing to the 10th grade of SMKN 3 Mataram students using clustering techniques can improve their writing ability.
STRATEGI HUMAS HOTEL 101 URBAN JAKARTA PEMUDA DALAM MENINGKATKAN OCCUPANCY HOTEL
Authors: Sapta Hulu Sandy Twin , Sumiyati Sumiyati 
Published: June 2024

Upaya dalam meningkatkan tingkat hunian hotel atau occupancy Hotel 1O1 Urban Jakarta Pemuda salah yang dilakukan adalah penyelenggaraan event-event secara rutin. Tujuan penelitian ini adalah untuk mengetahui strategi humas hotel 1O1 Urban Jakarta Pemuda dalam meningkatkan Occupancy hotel. Strategi humas dalam penelitian ini menggunakan pendekatan tahapan penyelenggaraan event yang dikemukakan oleh Goldblatt yaitu Research, Design, Planning, Coordination dan Evaluation. Penelitian ini menggunakan metode deskriptif dengan pendekatan kualitatif. Teknik pengumpulan data menggunakan observasi, dokumentasi, dan wawancara, sedangkan teknik analisis menggunakan teknik yang dikemukakan oleh Miles dan Huberman yaitu reduksi data, penyajian data, simpulan dan verifikasi. Uji keabsahannya menggunakan triangulasi sumber. Hasil dalam penelitian menunjukkan bahwa strategi humas yang dilakukan Hotel 1O1 Urban Jakarta Pemuda dalam penyelenggaraan event dimulai dari melakukan research untuk menemukan permasalahan yang dihadapi pada penyelenggaraan event sebelumnya, kemudian membuat design event, membuat perencanaan dan pemrograman selanjutnya koordinasi dengan bidang terkait untuk pelaksanaannya, yang terakhir melakukan evaluasi. Hasil evaluasi terdapat kendala antara lain keterlambatan materi desain dan kurangnya kemampuan sumber daya manusia, serta kedudukan humas yang masih di bawah sales and marketing sehingga tidak memiliki kewenangan dan keputusan dalam menentukan event. Saran dalam penelitian ini adalah penambahan sumber daya manusia agar dapat menutupi berbagai kekurangan tenaga kerja di setiap department yang ada di hotel 1O1 Urban Jakarta Pemuda memberikan kedudukan humas yang lebih tinggi tidak di bawah sales and marketing agar dapat mengambil tindakan dan keputusan apa yang akan dilaksanakan dalam rangka meningkatkan occupancy melalui penyelenggaraan event.
PEMBUATAN BUBUK JUS TOMAT BEEF DENGAN METODE FOAM MAT DRYING
Authors: Tirta Adipratama  , Asri Widyasanti  , Nor Nadiah Abdul Karim Shah  
Published: June 2024

Tomat merupakan produk hortikultura yang mudah rusak. Tingginya kadar air dari tomat juga, yaitu sekitar 93 - 95%, menyebabkan tomat menjadi mudah rusak. Pengeringan tomat menjadi bentuk bubuk merupakan metode pengawetan yang paling umum. Pada saat ini, banyak metode pengeringan yang digunakan dalam membuat bubuk buah, salah satunya adalah foam mat drying. Pengeringan busa (foam mat drying) merupakan metode pengeringan dengan cara membuat bahan pangan menjadi busa terlebih dahulu dengan cara memberikan zat pembuih. Metode pengeringan busa (foam mat drying) merupakan salah satu metode pengeringan dengan teknologi yang lebih sederhana dan biaya yang lebih murah. Oleh karena itu, dilakukan penelitian ini dengan tujuan untuk memperoleh suhu pengeringan dan konsentrasi maltodekstrin untuk menghasilkan bubuk tomat dengan mutu yang baik. Metode yang digunakan pada penelitian ini adalah eksperimental laboratorium dengan analisis deskriptif. Jus tomat yang telah dipisahkan dari biji dan ampas tomat kemudian dikocok dengan maltodekstrin sebanyak 15%, 20%, dan 25% (b/b) menggunakan mixer selama 2 menit. Hasil pencampuran tersebut kemudian dicampurkan dan dikocok dengan busa putih telur sebanyak 5% (b/b) menggunakan mixer selama 10 menit. Larutan yang dihasilkan kemudian dikeringkan menggunakan food dehydrator pada suhu 55, 60, dan 65 °C selama 2 jam. Pada penelitian ini, hasil terbaik terdapat pada perlakuan suhu pengeringan 65 °C dan konsentrasi maltodekstrin 25% (b/b) dengan kadar air sebesar 4,33% (bb) dan rendemen sebesar 11,01%.
Kemampuan Komunikasi Matematis dan Penerapan Cooperative Learning Tipe Jigsaw Berbantuan Aplikasi Trello
Authors: Kusuma Dianne Amor , Hutauruk Agusmanto J. B. 
Published: June 2024

Teknologi saat ini berkembang sangat pesat sehingga para pendidik dituntut untuk mampu beradaptasi dan memanfaatkan teknologi dalam proses pembelajaran. Penelitian ini bertujuan menganalisis dampak penerapan cooperative learning tipe jigsaw berbantuan aplikasi trello terhadap kemampuan komunikasi matematis pada mahasiswa. Metode yang digunakan dalam penelitian ini adalah metode survei dan instrumen yang digunakan adalah tes kemampuan komunikasi matematis berbentuk uraian, angket sikap berbentuk skala Likert, dan lembar wawancara. Hasil penelitian menunjukkan bahwa penerapan cooperative learning tipe jigsaw berbantuan aplikasi trello dapat meningkatkan kemampuan komunikasi matematis mahasiswa dan mahasiswa lebih tertarik mengikuti pembelajaran matematika.

Kata Kunci: Komunikasi matematis, cooperative learning, jigsaw, trello.