bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Health Interventions for Depression and Anxiety Among People With Chronic Conditions: Scoping Review
Authors: Shah Amika , Hussain-Shamsy Neesha , Strudwick Gillian , Sockalingam Sanjeev , Nolan Robert P , Seto Emily
Published: August 2022

Background

Chronic conditions are characterized by their long duration (≥1 year), need for ongoing medical attention, and limitations in activities of daily living. These can often co-occur with depression and anxiety as common and detrimental comorbidities among the growing population living with chronic conditions. Digital health interventions (DHIs) hold promise in overcoming barriers to accessing mental health support for these individuals; however, the design and implementation of DHIs for depression and anxiety in people with chronic conditions are yet to be explored.

Objective

This study aimed to explore what is known in the literature regarding DHIs for the prevention, detection, or treatment of depression and anxiety among people with chronic conditions.

Methods

A scoping review of the literature was conducted using the Arksey and O’Malley framework. Searches of the literature published in 5 databases between 1990 and 2019 were conducted in April 2019 and updated in March 2021. To be included, studies must have described a DHI tested with, or designed for, the prevention, detection, or treatment of depression or anxiety in people with common chronic conditions (arthritis, asthma, diabetes mellitus, heart disease, chronic obstructive pulmonary disease, cancer, stroke, and Alzheimer disease or dementia). Studies were independently screened by 2 reviewers against the inclusion and exclusion criteria. Both quantitative and qualitative data were extracted, charted, and synthesized to provide a descriptive summary of the trends and considerations for future research.

Results

Database searches yielded 11,422 articles across the initial and updated searches, 53 (0.46%) of which were included in this review. DHIs predominantly sought to provide treatment (44/53, 83%), followed by detection (5/53, 9%) and prevention (4/53, 8%). Most DHIs were focused on depression (36/53, 68%), guided (32/53, 60%), tailored to chronic physical conditions (19/53, 36%), and delivered through web-based platforms (20/53, 38%). Only 2 studies described the implementation of a DHI.

Conclusions

As a growing research area, DHIs offer the potential to address the gap in care for depression and anxiety among people with chronic conditions; however, their implementation in standard care is scarce. Although stepped care has been identified as a promising model to implement efficacious DHIs, few studies have investigated the use of DHIs for depression and anxiety among chronic conditions using such models. In developing stepped care, we outlined DHI tailoring, guidance, and intensity as key considerations that require further research.
Standardized Description of the Feature Extraction Process to Transform Raw Data Into Meaningful Information for Enhancing Data Reuse: Consensus Study
Authors: Lamer Antoine , Fruchart Mathilde , Paris Nicolas , Popoff Benjamin , Payen Anaïs , Balcaen Thibaut , Gacquer William , Bouzillé Guillaume , Cuggia Marc , Doutreligne Matthieu , Chazard Emmanuel
Published: August 2022

Background

Despite the many opportunities data reuse offers, its implementation presents many difficulties, and raw data cannot be reused directly. Information is not always directly available in the source database and needs to be computed afterwards with raw data for defining an algorithm.

Objective

The main purpose of this article is to present a standardized description of the steps and transformations required during the feature extraction process when conducting retrospective observational studies. A secondary objective is to identify how the features could be stored in the schema of a data warehouse.

Methods

This study involved the following 3 main steps: (1) the collection of relevant study cases related to feature extraction and based on the automatic and secondary use of data; (2) the standardized description of raw data, steps, and transformations, which were common to the study cases; and (3) the identification of an appropriate table to store the features in the Observation Medical Outcomes Partnership (OMOP) common data model (CDM).

Results

We interviewed 10 researchers from 3 French university hospitals and a national institution, who were involved in 8 retrospective and observational studies. Based on these studies, 2 states (track and feature) and 2 transformations (track definition and track aggregation) emerged. “Track” is a time-dependent signal or period of interest, defined by a statistical unit, a value, and 2 milestones (a start event and an end event). “Feature” is time-independent high-level information with dimensionality identical to the statistical unit of the study, defined by a label and a value. The time dimension has become implicit in the value or name of the variable. We propose the 2 tables “TRACK” and “FEATURE” to store variables obtained in feature extraction and extend the OMOP CDM.

Conclusions

We propose a standardized description of the feature extraction process. The process combined the 2 steps of track definition and track aggregation. By dividing the feature extraction into these 2 steps, difficulty was managed during track definition. The standardization of tracks requires great expertise with regard to the data, but allows the application of an infinite number of complex transformations. On the contrary, track aggregation is a very simple operation with a finite number of possibilities. A complete description of these steps could enhance the reproducibility of retrospective studies.
Barriers to eHealth and mHealth Usage and Preferred Features of Mobile Apps for Informal Caregivers of Persons with Dementia: Qualitative Study (Preprint)
Authors: Samari Ellaisha , Yuan Qi , Zhang Yunjue , Jeyagurunathan Anitha , Subramaniam Mythily
Published: August 2022

BACKGROUND

Emergence of new technologies have brought upon a new age of technology- enabled aids that can equip informal caregivers with the relevant resources for better caregiving. These include, but are not limited to, facilitating access to healthcare providers, knowledge on caregiving, and sources of support for caregivers’ well-being.

OBJECTIVE

The current study adopts a qualitative method to identify barriers and perceived useful features of mobile apps for informal caregivers of persons with dementia (PWD).

METHODS

29 informal caregivers of PWD in Singapore were recruited via convenience and snowball sampling. Data on barriers and directions towards use of mobile technology in caregiving were collected using semi-structured in-depth interviews. All interviews were audio-recorded and transcribed verbatim. Data were analysed using thematic analysis.

RESULTS

Barriers towards use of mobile technology include a) personal preference and apprehension towards eHealth/mHealth b) poor user experience and c) lack of knowledge and skills. Preferred and useful features of mobile include a) knowledge related to dementia, caregiving and self-care, b) list of supporting resources and helplines, c) social and emotional support, d) assistive technology in care management at home, e) management of medical appointments and transactions and f) good usability of app.

CONCLUSIONS

Our findings report the underutilization of mobile app in caregiving. Yet, caregivers showed keen interest towards the use of mobile app if it is functional and can reduce caregiving burden. Results from this study will allow researchers to integrate these directions towards developing content and features for mobile-based interventions aimed at lightening caregivers’ burden in their day-to-day caregiving routine.

CLINICALTRIAL

NA
Toward Individualized Prediction of Binge-Eating Episodes Based on Ecological Momentary Assessment Data: Item Development and Pilot Study in Patients With Bulimia Nervosa and Binge-Eating Disorder (Preprint)
Authors: Arend Ann-Kathrin , Kaiser Tim , Pannicke Björn , Reichenberger Julia , Naab Silke , Voderholzer Ulrich , Blechert Jens
Published: August 2022

BACKGROUND

Prevention of binge eating through just-in-time mobile interventions requires the prediction of respective high-risk times, for example, through preceding affective states or associated contexts. However, these factors and states are highly idiographic; thus, prediction models based on averages across individuals often fail.

OBJECTIVE

We developed an idiographic, within-individual binge-eating prediction approach based on ecological momentary assessment (EMA) data.

METHODS

We first derived a novel EMA-item set that covers a broad set of potential idiographic binge-eating antecedents from literature and an eating disorder focus group (n=11). The final EMA-item set (6 prompts per day for 14 days) was assessed in female patients with bulimia nervosa or binge-eating disorder. We used a correlation-based machine learning approach (Best Items Scale that is Cross-validated, Unit-weighted, Informative, and Transparent) to select parsimonious, idiographic item subsets and predict binge-eating occurrence from EMA data (32 items assessing antecedent contextual and affective states and 12 time-derived predictors).

RESULTS

On average 67.3 (SD 13.4; range 43-84) EMA observations were analyzed within participants (n=13). The derived item subsets predicted binge-eating episodes with high accuracy on average (mean area under the curve 0.80, SD 0.15; mean 95% CI 0.63-0.95; mean specificity 0.87, SD 0.08; mean sensitivity 0.79, SD 0.19; mean maximum reliability of rD 0.40, SD 0.13; and mean rCV 0.13, SD 0.31). Across patients, highly heterogeneous predictor sets of varying sizes (mean 7.31, SD 1.49; range 5-9 predictors) were chosen for the respective best prediction models.

CONCLUSIONS

Predicting binge-eating episodes from psychological and contextual states seems feasible and accurate, but the predictor sets are highly idiographic. This has practical implications for mobile health and just-in-time adaptive interventions. Furthermore, current theories around binge eating need to account for this high between-person variability and broaden the scope of potential antecedent factors. Ultimately, a radical shift from purely nomothetic models to idiographic prediction models and theories is required.
Optimizing Rice Husk Silica Mass and Sonication Time for a More Efficient and Environmentally Friendly Synthesis of SBA-15
Authors: Suyanta Suyanta , Mudasir Mudasir
Published: August 2022

By optimizing rice husk silica mass and sonication time, SBA-15 was successfully synthesized in a more efficient and environmentally friendly way. The solution of Pluronic P-123 was mixed with the solution containing NaOH and various masses of rice husk silica (4–12 g), followed by sonication for a certain time (30–150 min). The mixture was filtered and washed with distilled water and ethanol until neutral, then dried at 110 °C for 2 h and calcined at 500 °C for 6 h. The results showed that the optimal mass of rice husk silica was 8 g, while the optimal sonication time was 30 min. The product has a cylindrical pore shape with good crystallinity and pore structure regularity. The specific surface area (SBET), the pore diameter (DBJH), the specific pore volume (VBJH), and the wall thickness (WT) of the product were 601 m2 g–1, 4.76 nm, 0.88 mL g–1, and 5.02 nm, respectively. These results are not considerably different from the porosity of SBA-15, synthesized previously using conventional hydrothermal techniques from various silica sources. In addition, it is also comparable to the porosity of SBA-15 produced from TEOS by sonochemical methods as well as with commercial SBA-15.
El vigor de las imágenes: miradas interdisciplinarias
Authors: Lisbona Guillén Miguel , Higuera Bonfil Antonio , Taracena Arriola Arturo , Aramoni Calderón Dolores , Pinto Durán Astrid Maribel , Morales Bermúdez Jesús , Lowe Lynneth S. , Sellen Adam T. , González Ponciano Jorge Ramón
Published: August 2022

La obra se divide en dos partes para diferenciar los capítulos que abordan temas relacionados con lo religioso de aquellos que se acercan a las imágenes desde otras perspectivas. La primera inicia con el trabajo de Arturo Taracena Arriola. Su texto es una revisión histórica sobre los contrastes de la factura, características y destino de las imágenes veneradas en dos localidades de Yucatán producto de la intervención de Diego de Landa. Conocimiento y combinación de diversas fuentes históricas permiten al autor deshojar la suerte de dos imágenes de la Virgen. Las distintas imágenes que representan a la Virgen de Izamal son referencias permanentes a lo largo del texto, lo que posibilita adentrarse en el proceso histórico de que trata este trabajo.
Democracia, cultura política y ciudadanía en el México de hoy
Authors: Ventura Carmen , Rodríguez Luis , Hernández Sergio E. , Gómez Carpinteiro Francisco Javier , Rodríguez Domínguez Emanuel , Nájera de León Emmanuel , Muñoz Sánchez Práxedes , Luque Brazán José Carlos
Published: August 2022

Los autores que colaboran en este libro analizan las maneras en las que se articulan los esfuerzos por impulsar principios e instituciones de un régimen democrático formal, valores y prácticas de la ciudadanía y culturas políticas locales.
Impact of Thermotherapy on Regeneration of Single Node Setts of Sugarcane Infected by Sugarcane Yellow Leaf Virus
Authors: Varma P. Kishore , Sekhar V. Chandra , Krishna G. Vamsi , Chetan K.K. , Bharathalakshmi M.
Published: August 2022

Sugarcane is an important cash crop in India, as well as a key raw material in the production of sugar, jaggery, and bioethanol. Sugarcane yellow leaf disease incited by Sugarcane yellow leaf virus (SCYLV) is emerging as a major threat to sugarcane cultivation and the canes infected by SCYLV were found to be frequently invaded by fungal pathogens. SCYLV infected canes when used as seed material recorded low germination and seedling vigour. Hence, the present investigation was undertaken to test the efficacy of thermotherapy followed by carbendazim treatment for enhancing germination of SCYLV infected seed setts and seedling vigour. Single node setts of SCYLV infected canes were subjected to thermotherapy at 50°C, 51°C and 52°C for 10, 20 and 30 minutes in a hot water bath. Single node setts dipped in water or carbendazim (0.1%) solution served as control. Results of the study revealed that sett treatment with hot water at 50°C for 20 min followed by dipping in carbendazim (0.1%) solution for 30 minutes enhanced the sett germination and vigour of virus infected single noded setts. The presence of SCYLV in the seedlings that had emerged was determined using RT-PCR. The virus was found in germinated seedlings even after thermotherapy, suggesting that at the temperatures tested, thermotherapy was ineffective in eliminating the SCYLV sett borne inoculum. Thermotherapy and fungicide treatment, on the other hand, improved the germinability of infected single noded setts, probably due to a reduction in secondary fungal infection.
The Effects of Instructor’s Facilitation and Learning Flow on University Students’ Learning Satisfaction and Learning Persistence in Non-Face-to -Face Learning Environment due to Covid-19
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Lee EunBin , Lee DaeYeong , Joo Min-Ho
Published: August 2022

Objectives The purpose of this study is to present strategies for effective non-face-to-face instruction through examination of the impact of instructors’ facilitation and learning flow on university students' learning satisfaction and persistence in a remote learning environment due to Covid-19.
Methods A survey regarding instructors’ facilitation, learning flow, learning satisfaction and learning persistence was conducted among 262 university students nationwide for two weeks. The results went through data coding and cleaning as well as series of reliability and validity tests. Furthermore, the relationship between the variables was investigated through multiple regression analyses and variable reduction methods.
Results The results of multiple regression analysis and variable reduction methods for learning satisfaction have shown/proven that instructional designers, interaction facilitators, and learning flow variables were the significant variables. As for learning persistence, instructional designer and learning flow were the significant variables under the same procedure. The significance of the interaction facilitator variable had different results according to the dependent variable, and the learning information provider variable was derived as a variable that was not significant to any dependent variable.
Conclusions Instructional designer variables and learning flow were derived as the major variables with the strongest influence on the learning outcomes. In other words, non-face to face instructional environment should organize classes based on the instructional design model, and it would be necessary to use various methods to overcome the characteristics and obstacles of the remote learning environment that hinder learners' attention. In addition, it would be desirable for instructors to provide only the important learning information in consideration of the learner's cognitive load.
A Comparative Case Study on the Operation Process of the Education Welfare at School according to the Placement of Educational Welfare Workers
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Ha Bongwoon , Jang Deokho , Kim Namsook , Song Jihoon , Yoo Myunghyun , Myung Junhee
Published: August 2022

Objectives The purpose of this study is to compare the operation process of educational welfare at schools, identify limitations, and suggest improvement methods.
Methods Considering the placement of educational workers, school level, school location, and number of students, focus group interview and written investigation were conducted on 8 target schools, 16 school faculties. Written investigation and focus group interview questions were constructed based on the CIPP model. The collected data were analyzed based on the CIPP model.
Results The educational welfare operation process of the unit school differed depending on the placement of educational workers. First, schools with educational workers tried to realize universal welfare that focuses on satisfying various educational welfare needs for all students, while schools without educational workers focused on the target and scope of educational welfare for students of a specific class. Second, most schools with educational workers were systematically organized into departments, budgeting, and functions and roles of manpower, while schools without educational workers had difficulty operating due to limited manpower, organization, and budget input. Third, in the case of schools with educational workers, various types of support are provided based on the school's internal and external cooperation system, while schools without educational workers have difficulty in selecting target students, case management, and linking with external resources. Finally, regarding the achievements of educational welfare, schools with educational workers presented visible achievements such as student growth, community change, and improvement of educational equity, while non-arranged schools presented visible achievements such as improved academic achievement and positive peer relations.
Conclusions Schools should view all students as potential targets of educational welfare. In order to realize educational welfare in daily educational activities, ‘integrated growth support team’ should be established or strengthened on an organizational basis, ‘integrated growth case management’ on a content basis, and ‘cooperative governance’ on a professional basis.
The Relationship Between Emotional Contagion And Empathy
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Song Haeri
Published: August 2022

Objectives The purpose of the present study was to investigate the relationship between empathy and emotional contagion, and effect of facial expression mimicry treatment on enhancement of emotional contagion and/or empathy.
Methods In order to supplement the limitations of measurement method, both self-reported questionnaire and experimental measurement were used. Emotional Contagion Scale(ECS) and Interpersonal Reactivity Index(IRI) were used in survey research, and Balanced Inventory of Desirable Responding(BIDR) were used to control social desirability bias. In the experiment, participants watched interview video clips and responded how they empathized with the interviewee and how their mood had changed. The experimental group additionally proceed with a treatment that mimics the facial expression of the interviewee, and examined whether facial expression mimicry treatment could enhance emotional contagion and empathy in college students.
Results Self-reported survey results indicated that sensitivity of emotional contagion has a significant positive influence on levels of empathy, even though control the social desirable responding. Also, emotional contagion accounted for 27.7% of variance in empathy. However, in the experiment, there was not a consistent significant correlation between emotional contagion and emotional empathy in the correlation analysis. Also, there were no differences on the level of emotional contagion and empathy between the groups.
Conclusions The implications of the present study are to try to clarify the relationship between emotional contagion and empathy via both self-reported questionnaires and experiments.
Searching for Practical Strategies in the Social-Studies according to Job Discourse in the Age of Artificial Intelligence
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Park Jisu
Published: August 2022

Objectives This study aims to find a practical strategies for social-studies based on the job discourse in the rapidly changing artificial intelligence era.
Methods In this study, SWOT-AHP analysis technique was applied to achieve the objective, and the research process for this is as follows. First, opinions of various scholars on changes in job discourse based on artificial intelligence era were summarized, and general people's perceptions were analyzed through big data analysis. Next, the SWOT-Matrix was constructed by conducting the first survey conducted for experts in social-studies. In addition, a second survey of experts was conducted to present an effective strategy for social-studies that is timely and effective, and the results were quantified by analyzing the importance and priority of the AHP (Analytic Hierarchy Process). Finally, through this, a practical strategy for social-studies according to the change of job discourse in the age of artificial intelligence was derived and the direction to be taken was presented.
Results Summarizing the study, experts in social-studies believe that social-studies according to job discourse in the age of artificial intelligence strengthens and utilizes strengths in the four SWOT attributes, reduces or eliminates threats, and compensates for weaknesses. and the importance of opportunity was recognized in the order of use. In addition, as for the practical strategy of social-studies that can be presented centering on the SWOT-Matrix element, which was evaluated as particularly important, the ST strategy, which should strengthen strength and reduce threats, was found to be the most effective.
Conclusions As a result, as a practical strategy for social-studies according to the job discourse in the artificial intelligence era according to the ST strategy, the composition of a curriculum that can be organically linked with students' daily experiences and knowledge, selection of highly transferable knowledge, and the artificial intelligence era In addition to sufficient teacher competency education to prepare for, infrastructure expansion can be suggested.
Analysis of research trends related to media literacy
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Jang So Young , Kim Kyung Yee
Published: August 2022

Objectives This study analyzes the research literature related to media literacy to grasp the recent trend of research related to media literacy and to suggest the direction of media literacy education in the future.
Methods As for the analysis data, primary data were collected by searching for keywords related to media literacy in the Korean academic journal Quote Index (KCI) and Academic Research Information Service (RISS), and secondary data were collected using the Netminer ‘Biblio Data Collector’ bibliographic information collection engine. A total of 521 papers were selected by reviewing the 1.2nd data. The analysis targets were classified by research period and method, and analysis was conducted by creating a reference frame with a matrix according to the research purpose and media literacy capabilities.
Results First, research trends by period were steadily increasing from 2011 to 2020. Second, in the classification by research method, quantitative research was 34.7%, literature research was 31.3%, and qualitative research was 22.5%. Third, in the classification by research purpose, 201 studies on media literacy and competency were most actively conducted (38.6%) and in the classification by year of research purpose, studies on perception and competency (40.8%) and studies on education status (25.6%) were increasing in the second half. Fourth, in the detailed competency analysis of media literacy, 83 studies (32.0%) related to critical and discriminatory media evaluation capabilities were the most common, followed by 65 (25.1%) media expression capabilities and 61 (23.6%). Fifth, as a result of matrix analysis of research purpose and detailed competency, it was confirmed that research on media access and functional utilization and research on conceptual and theoretical considerations in enjoyment competency research were somewhat insufficient. In general studies excluding research on productive media expression capabilities, studies on program and model development and verification research, educational plans, and effectiveness analysis were found to be insufficient.
Conclusions Based on the awareness of media literacy and the current status of education, it is necessary to conduct more active research on programs or models that balanced media literacy capabilities, and policy support from media education-related institutions and governments should be accompanied.
Upaya Penyelesaian Konflik Rusia-Ukraina
Authors: Syuryansyah Syuryansyah , Berthanila Rethorika
Published: August 2022

Artikel ini bertujuan mengetahui alasan mengapa Rusia melakukan serangan militer ke wilayah Ukraina serta bagaimana upaya penyelesaian konflik antara Rusia-Ukraiana. Rusia telah mengerahkan puluhan ribu tentara militer ke wilayah Ukraina disebabkan tiga faktor yaitu: faktor Geopolitik, Faktor Demografis, dan Faktor Sosio-politik. Faktor Geopolitik menjadi Faktor utama karena posisi Ukraina yang merupakan buffer zone antara NATO dan Federasi Rusia sehingga menjadikan posisi negara tersebut strategis secara geopolitik untuk diperebutkan demi pengaruh ideologis maupun teritorial. Setidaknya ada 4 cara yang penulis sampaikan untuk meyelesiakan perang Rusia-Ukraina diantaranya melakukan Negosiasi, Good Offices, Organisasi Internasional dan Mediasi. Upaya-upaya ini dapat dijadikan alternatif untuk mengakhiri konflik Rusia-Ukraina.
Cluster-based agricultural development: a comparison between China and Africa
Authors: Zhang Xiaobo
Published: August 2022

Clusters for high-value crops are ubiquitous in China and in African countries. Drawing from three case studies (potato cluster in China, medicinal and aromatic cluster in Egypt, and dates cluster in Tunisia), this chapter discusses the major challenges facing cluster development and the roles of different agents (e.g. entrepreneurs, business associations, and local governments). Cluster development involves supply-side or demand-side bottlenecks along the way, which are beyond the capacity of individual enterprises. Whether a cluster can develop to the next stage depends crucially upon whether the bottlenecks can be resolved. Because the bottlenecks are context- and temporal-specific, it would be impossible for a planner or outsider donor to prescribe a one-size-fits-all intervention to overcome all the binding constraints. Instead, local elites, such as business leaders and local officials, can play a greater role in identifying the emerging bottlenecks and figuring out indigenous solutions. In China, because local governments have an embedded interest in promoting local economic development, they are keen to provide local public goods or initiate joint actions to address the successive binding constraints and facilitate cluster development. By comparison, the role of the local government is more muted in Africa, limiting the growth potentials of agricultural clusters.
Tolerance to a paradoxical increase in motor activity induced by PDE10A inhibition under hypodopaminergic conditions
Authors: Sukhanov Ilya , Dorotenko Artem , Savchenko Artem , Dravolina Olga
Published: August 2022

Background and Purpose: Phosphodiesterases (PDEs) are a family of
enzymes, which hydrolyze cAMP and cGMP. PDE10A is expressed mainly in
the medium spiny neurons of the striatum that provides an opportunity to
modulate the movement control pathways of the basal ganglia: “direct”
(D1 receptor-dependent) and “indirect” (D2 receptor-dependent). Thus,
inhibition of PDE10A can functionally mimic the action of both D1
receptor agonists and D2 receptor antagonists, although much less
attention has been paid to the assessment of D1 receptor agonist-like
effects. The purpose of the present study was (1) to confirm the motor
stimulatory effects of PDE10A inhibitors and (2) to test whether these
effects are subject to the development of tolerance. Experimental
Approach: The ability of single or repeated (5 or 10 days)
administration of selective PDE10A inhibitors, MP-10 (0,3-5 mg/kg) and
RO5545965 (0.1-0.9 mg/kg), to stimulate locomotor activity was assessed
in rats after single tetrabenazine challenge (3 mg/kg). The study was
pre-registered on PreclinicalTrials.eu. Key Results: PDE-10A inhibition
exerted paradoxical motor stimulatory properties in a dose-dependent
manner. However, repeated administration of PDE10A inhibitors led to a
reduction of their effects. Conclusion and Implications: PDE-10A
inhibition produces a paradoxical increase in motor activity in animals
with low dopamine tone. After repeated administration of PDE-10A
inhibitors, these effects disappeared. The development of tolerance
similar to that previously observed for D1-receptor agonists may limit
the potential clinical use of the stimulatory effects of PDE10A
inhibitors. Further studies aimed at analyzing the molecular mechanisms
of this tolerance are warrant
Credit Card Fraud Detection Using Voter Ensemble Technique (VET)
Authors:   1Department of Computer Science, Adeleke University, Ede, Osun State, Nigeria 2Department of Computer Science, University of Lagos, Akoka, Lagos, Nigeria 3Department of Computer Science, Ladoke Akintola University, Ogbomoso Nigeria, Adepegba O. A , Akinboro S.A , Olabiyisi, S.O. , Lala O.G. , Onamade A.A. , Aroyehun A.A
Published: August 2022

This paper proposes to design a majority vote ensemble classifier for accurate detection of credit card frauds. There is a lack of research studies on analyzing real-world credit card data owing to the issues of confidentiality, some features were hidden. Credit Card Fraud Dataset from kaggle.com was used for this study. The dataset is made up of 284,807 the number of legitimate transactions was found to be 284,315 while the number of fraudulent transactions was found to be 492, this shows that dataset is highly imbalanced, skewed data set like this may lead to an unreliable prediction performance, which is a major classification problem. Hence this study review literatures on methods of addressing the problem imbalance in dataset, and profile a methods of using the Voter Ensemble approach to address the classification problem. The real-world credit card dataset is analyzed to check for missing values and results show that there were no missing or duplicate values in the dataset. In this study, machine learning algorithms are used to detect credit card fraud. The base learners (Logistic regression, Bagging and Naïve Bayes) and the voter ensemble methods are combined. In this experiment, data are splits into 70% training and 30 % testing, the base (learners) classifiers were trained from the training sets, and predictions evaluations were made on data using 10-fold cross-validation. Afterward, the predictions of the learned base classifiers are combined into an ensemble using a stacked generalization strategy. The experimental results positively indicate that the Voter Ensemble method achieves good performances based on Precision, Recall, F1-score and Accuracy rates in detecting fraud cases in credit cards with 95.77%, 99.99%, 97.83%, 99.99% respectively. The result is evaluated and compared with other existing works. Keywords: Voter Ensemble, Logistic Regression (LR), Naïve Bayse, Bagging, imbalance ratio (IR), CCFD.
Study on flow and heat transfer characteristics of cooling channel filled with x-shaped truss array
Authors: Xi Lei , Xu Liang , Gao Jianmin , Zhao Zhen , Li Yunlong
Published: August 2022

In order to enhance the cooling performance of turbine blades, novel cooling channels filled with X-shaped truss array were investigated in this study. The flow mechanism and heat transfer characteristic of the cooling channel filled with X-shaped truss array were analyzed numerically. The empirical correlations of friction coefficient and Nusselt number related to the inlet Reynolds number (10000-60000) and truss rod inclination angle (30-45?) were fitted. The results show that the secondary flow vortex in the channel and the Nusselt number on the channel wall both show periodic distributions along the streamwise direction. The row-averaged Nusselt number and friction coefficient of the channel first decrease quickly and then decrease slowly along the streamwise direction. When truss rod inclination angle increases from 30-60?, the whole-averaged Nusselt number and the whole friction coefficient of the channel increase by 25.4-52.3% and 1.19-1.33 times, respectively under different Reynolds number. The channel with truss rod inclination angle of 45? has the best comprehensive thermal performance. In all cases, the ratio of heat transfer quantity of the truss rod surface to the total heat transfer quantity of the channel ranges from 22.9-42.3%. The increase of Reynolds number improves the heat transfer quantity of the channel wall and the increase of truss rod inclination angle reduces the heat transfer quantity of the channel wall.
The Current State and Future Implications of Environmental, Social, and Governance Assurance
Authors: Bakarich Kathleen M. , Baranek Devon , O’Brien Patrick E.
Published: August 2022

This study examines environmental, social, and governance (ESG) reports of companies on The Wall Street Journal’s and Investor’s Business Daily’s top 100 sustainable companies. We collect information on whether the reports are assured, the type of assurance and standards cited, the assurance provider, and whether or not the provider also audits the financial statements. Fifty-eight percent of sample companies voluntarily sought external assurance services for some portion of these reports, with limited assurance primarily provided. Big 4 firms provide assurance for most international companies but assure only 16 percent of U.S. companies. We discuss practical implications and future research areas, including cross-country comparisons, ESG assurance, and standard-setting.
Do Shareholder Ratification Votes Impact Subsequent Audit Outcomes?
Authors: Martin Gregory W. , Rama Dasaratha V. , Raghunandan K. , Tanyi Paul
Published: August 2022

The Securities and Exchange Commission (SEC) and the Public Company Accounting Oversight Board (PCAOB) have justified audit-related disclosure rules by asserting that such information would be relevant for shareholders in auditor ratification voting decisions. The underlying assumption, stated more explicitly by activists and others, is that such voting can influence auditors’ subsequent actions. A recent study by Tanyi, Rama, Raghunandan, and Martin (2020) tests this assumption. Using data from 10,326 auditor ratification votes, Tanyi et al. (2020) find that higher than expected shareholder dissatisfaction of their external auditors is associated with higher audit quality and higher audit fees in the subsequent period. The results suggest that auditors should pro actively engage with audit committees if there is higher than expected shareholder dissatisfaction. Auditors can also expect regulators to use such evidence in future rule proposals by the SEC and PCAOB, given past actions by regulators.
Suicide and Suicidality in Children and Adolescents with Chronic Skin Disorders: A Systematic Review
Authors: Barlow Richard , Payyazhi Girija , Hogan Sarah , Grindlay Douglas , Choi Donald , Verma Meenakshi , Pasunuru Kavitha , Taylor Ruth , Bewley Anthony , Mohandas Padma
Published: August 2022

Suicide in young children is rare; the incidence increases towards the end of adolescence. Skin disorders confer a high prevalence of psychiatric and psycho­logical comorbidities. However, published research on suicidal behaviour in adolescents and children with skin disorders is sparse. The aim of this study was to identify the prevalence of suicidal behaviour in children and adolescents under 18 years of age with chronic skin disorders and associated contributing risk factors. MEDLINE, PsycINFO, EMBASE, CINAHL and Cochrane databases were searched from inception to October 2020 for suicide or suicide attempts in patients under 18 years old with chronic skin disorders. The study protocol was logged on PROSPERO (CRD42020083528). Returned texts were reviewed independently by 2 authors. Bias was assessed according to Joanna Briggs Institute criteria. Five studies met the inclusion criteria; 4 cross-sectional surveys and 1 retrospective matched-cohort study. A total of 31,641 patients with acne, atopic dermatitis, body dysmorphic disorder or psoriasis were identified. Prevalence of suicidal ideation was 0.45% (psoriasis) to 67% (body dysmorphic disorder). The prevalence of suicidal attempts ranged from 0.08% (psoriasis) to 21.9% (acne). Patients with acne or atopic dermatitis had significantly increased odds ratio for suicidal attempts. Meta-analysis could not be performed owing to the heterogeneity and sparsity of data. Suicidal risk in skin disorders amongst adolescents and children under the age of 18 years old is broad and complex. The suicidal risk remained after adjusting for depression, suggestive of an alternative mechanism.
Analisis Potensi Daerah Resapan Air di Kabupaten Pringsewu
Authors: Simanjuntak Dessi Natalya , Rahmadi Eko , Dewi Citra
Published: August 2022

Tujuan penelitian ini adalah untuk mengetahui daerah yang berpotensi sebagai daerah resapan air di Kabupaten Pringsewu.Kawasan resapan air sendiri sangat penting bagi Kabupaten Pringsewu untuk menanggulangi banjir maupun kekeringan. Oleh karena hal tersebut, maka perlu melakukan pemetaan denganPemanfaatan Sistem Informasi Geografis (SIG). Sedangkan untuk penentuan nilai harkat bobot masing-masing parameter menggunakan metode Analytichal Hierarchy Process (AHP). Hasil penentuan kawasan daerah resapan air menggunakan metode scoring, pembobotan dan overlay dengan menggunakan 5 parameter yaitu tutupan lahan, curah hujan, jenis tanah, kelerengan dan formasi batuan, serta sudah dilakukan validasi di lapangan dapat disimpulkan bahwa sudah cukup valid atau daerah resapan air dapat diterima. Dengan faktor yang paling berpengaruh yaitu tutupan lahan. Kabupaten Pringsewu masuk termasuk kategori berpotensi sebagai daerah resapan air karena  50% luasannya masuk kedalam tingkat berpotensi sebagai daerah resapan air. Dimana luasan terbesar untuk tingkat berpotensi sebagai daerah resapan air berada di kecamatan Pagelaran Utara yaitu sebesar 17%, sedangkan untuk luasan terkecil pada tingkat berpotensi sebagai daerah resapan air berada di kecamatan Banyumas sebesar 2.3%.
Cidades, evolução e urbanismo
Authors: Pereira Juliana MELO , Pontual Virgínia
Published: August 2022

O presente artigo apresenta a contribuição de dois teóricos do urbanismo do século XX. Marcel Poëte participou das primeiras instituições e mobilizou a criação do primeiro curso de urbanismo na França. Gaston Bardet foi seu aluno e desenvolveu um vasto conjunto de investigações metodológicas, livros, artigos e cursos neste campo disciplinar. O interesse por ambos se justifica por terem compreendido a cidade do passado e do futuro como unidade, algo metaforicamente semelhante a um organismo vivo em contínua evolução. A partir da noção de “evolução”, eles buscaram desenvolver formas de apreender o que chamaram de “vida” e “alma” da cidade, antes de qualquer plano ou proposta de intervenção. Tanto através dos estudos históricos, formulados por Poëte, quanto das investigações sociológicas, desenvolvidas por Bardet, o Urbanismo deveria ultrapassar os limites das formas, das leituras setorizadas para abarcar uma totalidade complexa.
Development of a Simple Empirical Yield Predition Model Based on Dry Matter Production in Sweet Pepper
Authors: Watabe Takafumi , Muramatsu Yukinari , Homma Masaru , Higashide Tadahisa , Ahn Dong-Hyuk
Published: August 2022

The development of models for yield prediction in greenhouse sweet peppers may help improve yield and labour productivity. We aimed to monitor the growth and yield of hydroponically grown sweet pepper plants without destructive sampling. First, we constructed a prediction model and validated it in a cultivation experiment. In the developed model, daily node appearance and light use efficiency were predicted from daily mean air temperature and daytime carbon dioxide (CO2) concentration. The daily light interception was obtained by non-destructive leaf area estimation. Second, we validated the model through the cultivation experiment. The predicted total dry matter production at 200 days after transplanting (DAT), 1,379 g/m2, fell within the range of the observed value, 1,353 ± 46 g/m2 (mean ± SE). The predicted and observed yields at 200 DAT were 7.90 kg/m2 and 7.73 ± 0.82 kg/m2, respectively. We approximately predicted node appearance, total dry matter production, and fruit yield, while partially succeeding in predicting leaf area index and dry matter partitioning to fruit. Our non-destructive prediction model can be an effective tool for growers and to improve the yield of sweet pepper production.
Changes in the Key Physicochemical Parameters and Selected Trace Elements of Oil Due to Its Use in Hydraulic System of Woodworking Equipment
Authors: Kučera Marián , Hnilicová Michaela
Published: August 2022

The research presented supported a comprehensive assessment of the condition of real oil samples of the HM quality class and VG 46 viscosity grade as functions of oil usage time in the hydraulic system of two round timber sorting and transport carriages (RSTWI and RSTWII) Baljer & Zembrod intended for handling wood logs by following the degradation and concentration of abrasive metals in the oil. The oil data were collected every Δ = 500 operating hours during one year by off-line monitoring of hydraulic oil. Measured values were compared to the acceptability limits. Multivariate associations were analysed using a principal component analysis (PCA; Statistica 12.0) to describe the patterns of co-variation among the examined traits. Based on the data obtained, it was observed that the oil in RSTWI was more oxidatively stressed in contrast to the oil in RSTWII despite it being subjected to an excessive wear mode.
Using the Bag-of-Audio-Words approach for emotion recognition
Authors: Vetráb Mercedes , Gosztolya Gábor
Published: August 2022

The problem of varying length recordings is a well-known issue in paralinguistics. We investigated how to resolve this problem using the bag-of-audio-words feature extraction approach. The steps of this technique involve preprocessing, clustering, quantization and normalization. The bag-of-audio-words technique is competitive in the area of speech emotion recognition, but the method has several parameters that need to be precisely tuned for good efficiency. The main aim of our study was to analyse the effectiveness of bag-of-audio-words method and try to find the best parameter values for emotion recognition. We optimized the parameters one-by-one, but built on the results of each other. We performed the feature extraction, using openSMILE. Next we transformed our features into same-sized vectors with openXBOW, and finally trained and evaluated SVM models with 10-fold-crossvalidation and UAR. In our experiments, we worked with a Hungarian emotion database. According to our results, the emotion classification performance improves with the bag-of-audio-words feature representation. Not all the BoAW parameters have the optimal settings but later we can make clear recommendations on how to set bag-of-audio-words parameters for emotion detection tasks.
Distributed optimal control problems driven by space-time fractional parabolic equations
Authors: Mehandiratta Vaibhav , Mehra Mani , Leugering Günter
Published: August 2022

We study distributed optimal control problems, governed by space-time fractional parabolic equations (STFPEs) involving time-fractional Caputo derivatives and spatial fractional derivatives of Sturm-Liouville type. We first prove existence and uniqueness of solutions of STFPEs on an open bounded interval and study their regularity. Then we show existence and uniqueness of solutions to a quadratic distributed optimal control problem. We derive an adjoint problem using the right-Caputo derivative in time and provide optimality conditions for the control problem. Moreover, we propose a finite difference scheme to find the approximate solution of the considered optimal control problem. In the proposed scheme, the well-known L1 method has been used to approximate the time-fractional Caputo derivative, while the spatial derivative is approximated using the Grünwald-Letnikov formula. Finally, we demonstrate the accuracy and the performance of the proposed difference scheme via examples.
Efectos de desastres sobre consumo y precio de alimentos: el impacto del Huracán Earl
Authors: Huerta-Wong Juan Enrique , Silverio-Murillo Adán , Soloaga Isidro , Santamaría Julieth
Published: August 2022

Objetivo: examinar los impactos del huracán Earl en consumo y precios de alimentos en habitantes de Puebla, dos variables centrales para entender efectos para la economía. Metodología: recurrimos a un diseño de investigación trazado ante la ocurrencia del Huracán Earl en Puebla. Los datos se analizaron con la técnica econométrica de regresión de diferencia en diferencia. Resultados: las estimaciones indican que el impacto producido por Earl no ha logrado ser completamente suavizado por la intervención pública. Los resultados sugieren que los hogares disminuyeron el consumo para compensar por el choque del ingreso después del desastre. Encontramos también evidencia de reducción en precios después del desastre. Limitaciones: arribamos al lugar del desastre una semana después del evento, lo cual reduce la posibilidad de observar efectos; adicionalmente, bajo este enfoque no conocemos la posibilidad de resiliencia en el mediano plazo. Conclusiones: una reducción en precios seguida por una reducción en consumo sugiere pérdidas de bienestar de corto plazo, que no pudo ser compensada por la intervención millonaria de la política pública.
Assessment of Health Status, Habit and Their Concomitant Effect on Mental and Intellectual Health of Pstu Students
Authors:   Patuakhali Science And Technology University, MMH Khan
Published: August 2022

The survey on the health status, hygienic condition, mental health and intellectual health of students of Patuakhali Science and Technology University (PSTU) was conducted