bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Intellectual Capital Investment, Corporate Governance, and Barriers to Entry on the Intellectual Capital Performance of Banking Companies
Authors: Hakiki Rosanda Asmara , Herlina Erida 
Published: August 2022

Intellectual capital is an important element in determining the performance of banking companies. This study aimed to examine the effect of intellectual capital investment, good corporate governance (proxied by foreign ownership and institutional ownership), and barriers to entry on intellectual capital performance. This research was conducted on conventional banking companies listed on the Indonesia Stock Exchange from 2015 to 2019. The sample was selected using a purposive sampling method based on specific criteria. Eighty-nine banking companies met the criteria. Data analysis was performed using multiple linear regression analysis. The results of this study indicate that intellectual capital investment and barriers to entry have a negative effect on intellectual capital performance. On the other hand, foreign ownership and institutional ownership have no significant effect on intellectual capital performance. These findings recommend that banking companies pay attention to efficiency in investment in human resource development to improve bank performance. Inefficient investment in human resources can lead to a decrease in intellectual capital performance. Banking companies also need to continuously innovate service products to maintain their competitiveness and noÂ longer rely on fixed asset investment as an element of a barrier to entry.
Analisis Peran SDM dalam Keberhasilan Capaian Akreditasi Paripurna di Rumah Sakit X Pekalongan
Authors: Daminggo Caesar Al Ahmed , Suryawati Chriswardani , Arso Septo Pawelas 
Published: August 2022

Health services require quality service and good patient safety on an ongoing basis, and accreditation is considered a powerful method to improve the quality of health services. This study aims to describe and analyze the role of leadership and motivation in achieving accreditation at RS X Pekalongan. This research is a qualitative descriptive study. Information was obtained through in-depth interviews, observation, and document review. The sampling technique used purposive sampling, with the number of main informants as many as 19 respondents and triangulation informants as many as 4 respondents. Based on the research results, all parties in the hospital play a role in the accreditation process and all employees have their respective roles. The leadership of the director in accreditation is very good, as evidenced by the design of tasks that can be carried out properly, and in terms of increasing employee motivation, the director has provided rewards both material and non-material, as well as training according to standards. . In maintaining the results of its accreditation, the hospital instills a sense of responsibility for accreditation to all employees. Hospital owners provide moral support to hospitals by participating in a series of accreditation survey events, providing useful input during meetings and also approving funding proposals related to accreditation. Keywords: Accreditation, leadership, motivation, achievement of accreditation
Glacier parameterization in SLAV numerical weather prediction model
Authors: Fadeev Rostislav Yu. , Alipova Kseniya A. , Koshkina Anna S. , Lapin Timofey E. , Ozerova Nadezhda A. , Pereladova Alina E. , Sakhno Andrey V. , Tolstykh Mikhail A. 
Published: August 2022

Abstract
In the present paper, we describe a one-dimensional glacier parameterization for use in the numerical weather prediction models. The proposed scheme is implemented into the global atmospheric model SLAV. To avoid inconsistency of surface temperature and turbulent heat fluxes in the lower troposphere, glacier parameterization has been iteratively coupled with both planetary boundary layer and land surface schemes. First results from numerical experiments with the SLAV model show that the introduction of a simplified description of the glacier heat capacity can significantly improve the 2-meter temperature long-range weather forecast skill.
Construction and optimization of numerically-statistical projection algorithms for solving integral equations
Authors: Korda Anna S. , Mikhailov Gennady A. , Rogasinsky Sergey V. 
Published: August 2022

AbstractThe problem of minimizing the root-mean-square error of the numerical-statistical projection estimation of the solution to an integral equation is solved. It is shown that the optimal estimator in this sense can be obtained by equalizing deterministic and stochastic components of the error in the case when the norm of the remainder of the utilized decomposition decreases inversely proportional to its length. As a test, the Milne problem of radiation transfer in a semi-infinite layer of matter is solved using Laguerre polynomials. To solve such a problem in the case of a finite layer, a special regularized projection algorithm is used.
Geriatric Vulnerabilities Among Obese Older Adults With and Without Sarcopenia: Findings From a Nationally Representative Cohort Study
Authors: Dondero Kathleen R. , Falvey Jason R. , Beamer Brock A. , Addison Odessa 
Published: August 2022

Background and Purpose:
Sarcopenic obesity is associated with loss of independence among older adults, but the epidemiology of sarcopenic obesity and associated geriatric vulnerabilities are poorly understood. Thus, our objectives were to: (1) estimate the prevalence of older adults with sarcopenic obesity and (2) examine rates of geriatric vulnerabilities among obese older adults, with and without sarcopenia.

Methods:
A nationally representative sample of 1600 community-dwelling older adults 65 years and older with obesity and documented measures of muscle function from the National Health and Aging Trends Study (NHATS) was identified as sarcopenic using sex-adjusted grip strength and Short Physical Performance Battery scores. Differences in the prevalence of geriatric vulnerabilities (including pain, depression, disability, and social isolation) were compared between obese older adults with and without sarcopenia.

Results and Discussion:
Among obese older adults, 18% (n = 318/1600) were sarcopenic. After adjusting for age and sex, sarcopenic obese older adults had 3.7 times the odds of having 2 or more comorbid conditions (odds ratio [OR] = 3.7; 95% CI 2.2-5.0) and 6.4 times the odds of being frail (OR = 6.4; 95% CI 4.4-9.5) as compared with nonsarcopenic obese older adults. Sarcopenic obese older adults were also more likely to have 1 or more activities of daily living disabilities (OR = 3.7; 95% CI 2.5-5.4), be socially isolated (OR = 2.1; 95% CI 1.3-3.2), and report activity-limiting pain (OR = 2.0; 95% CI 1.5-2.7) as compared with nonsarcopenic obese older adults. These findings, in a nationally representative cohort, suggest obese older adults who are sarcopenic have higher rates of geriatric vulnerabilities that could impact delivery and outcomes of exercise and nutrition interventions.

Conclusions:
Concomitant obesity and sarcopenia are associated with higher rates of geriatric vulnerabilities among a nationally representative sample of older adults. More comprehensive interventions, beyond exercise and diet modifications, may be necessary to additionally address these newly identified social and physiological risks.
An Intelligent Fault Diagnosis Algorithm for Vehicle Internal Combustion Engines Based on Instantaneous Speed for a Smart City
Authors: Ma Baoqiu , Li Jingli , Liang Jianwei , Liu Peiyue , Hou Lifeng , Zhao Lei , Liu Jiangran 
Published: August 2022

Abstract
Affected by interference factors such as Gaussian noise, the traditional methods have the problems of inaccurate diagnosis results of unsteady vibration signals, high uncertainty of fault diagnosis, and low overall fault diagnosis accuracy. In this paper, a fault diagnosis algorithm of vehicle internal combustion engine based on instantaneous speed and machine learning is proposed. The instantaneous speed is measured by the hardware method. According to the processing results of instantaneous speed, the unsteady vibration signal of the vehicle internal combustion engine is analyzed, and the principal components of unsteady vibration are separated to suppress the interference of Gaussian strong noise. The running state of the vehicle internal combustion engine is identified by the wavelet transform method. According to the identification results, the fault diagnosis of the vehicle internal combustion engine is realized by the twin support vector machine classification algorithm in machine learning. The experimental results show that the minimum uncertainty coefficient of fault diagnosis in this algorithm is 0.08, the accuracy of the unsteady vibration signal diagnosis is higher, and the overall accuracy of fault diagnosis is lower.
The Effect of Sewing Parameters and Washing Cycles on Seam Performance of Single Jersey Fabrics
Authors: Yildiz Esra Zeynep , Pamuk Oktay 
Published: August 2022

Abstract
The objective of this study is to improve the production performance of apparel companies by identifying the appropriate sewing parameters for specific knitted fabric groups. For this purpose, knitted fabrics of 100 % cotton, 100 % viscose, 100 % polyester, and their blends with elastane were produced with different masses. The specimens were sewn with different sewing parameters. Then, seam strength and seam pucker values of the sewn specimens were measured before and after ten repeated washing cycles. The data were used to analyze the factors affecting the seam quality. The findings of this study revealed that fabric composition is an important factor in the selection of sewing thread. For polyester-based samples, the highest seam strength values were measured for samples sewn with core-spun thread both before and after washing. At the same time, the cotton and viscose-based fabrics generally gave better results with spun polyester thread before washing. However, after washing, the highest seam strength values were measured for these samples sewn with mercerized cotton thread. In addition, mercerized cotton and polyester spun threads had lower pucker values before washing, regardless of fabric type. Mercerized cotton threads, on the other hand, were more prone to seam puckering after washing. It was also found that increasing needle size from 70 to 90 resulted in a decrease in seam strength. As stitch density increased, seam strength and seam pucker increased in the same way. However, the study showed no effect of needle size on seam pucker.
Individualized Recommendation Method of Multimedia Network Teaching Resources Based on Classification Algorithm in a Smart University
Authors: Zheng Fangxia 
Published: August 2022

Abstract
Current recommendation methods of multimedia network teaching resources cannot classify the resources with high precision, which leads to large deviation of recommendation results and low recall. Therefore, a personalized recommendation method of multimedia network teaching resources based on classification algorithm is proposed. Adaptive sliding window mutual information method is used to process historical and incremental data of teaching resources and extract the characteristics of multimedia network teaching resources. Two-step clustering algorithm combined with business identifier code criteria are used to complete resource classification. Based on structured query language (SQL) multimedia network teaching resources data recommendation database, document query and processing, combined with SQL structure, a personalized recommendation of multimedia network teaching resources is completed. The experimental results show that the recall of the classification results is higher than 99.58 %, and the highest F1 value is 97.28 %. The precision of personalized recommendation of multimedia network teaching resources is always higher than 90 %, and the recall rate is also higher.
TMS Does Not Increase BOLD Activity at the Site of Stimulation: A Review of All Concurrent TMS-fMRI Studies
Authors: Rafiei Farshad , Rahnev Dobromir 
Published: August 2022

AbstractTranscranial magnetic stimulation (TMS) is widely used for understanding brain function in neurologically intact subjects and for the treatment of various disorders. However, the precise neurophysiological effects of TMS at the site of stimulation remain poorly understood. The local effects of TMS can be studied using concurrent TMS-functional magnetic resonance imaging (fMRI), a technique where TMS is delivered during fMRI scanning. However, although concurrent TMS-fMRI was developed over 20 years ago and dozens of studies have used this technique, there is still no consensus on whether TMS increases blood oxygen level-dependent (BOLD) activity at the site of stimulation. To address this question, here we review all previous concurrent TMS-fMRI studies that reported analyses of BOLD activity at the target location. We find evidence that TMS increases local BOLD activity when stimulating the primary motor (M1) and visual (V1) cortices but that these effects are likely driven by the downstream consequences of TMS (finger twitches and phosphenes). However, TMS does not appear to increase BOLD activity at the site of stimulation for areas outside of the M1 and V1 when conducted at rest. We examine the possible reasons for such lack of BOLD signal increase based on recent work in nonhuman animals. We argue that the current evidence points to TMS inducing periods of increased and decreased neuronal firing that mostly cancel each other out and therefore lead to no change in the overall BOLD signal.
RAB6 and dynein drive post‐Golgi apical transport to prevent neuronal progenitor delamination
Authors: Brault Jean‐Baptiste , Bardin Sabine , Lampic Marusa , Carpentieri Jacopo A , Coquand Laure , Penisson Maxime , Lachuer Hugo , Victoria Guiliana Soraya , Baloul Sarah , El Marjou Fatima , Boncompain Gaelle , Miserey‐Lenkei Stephanie , Belvindrah Richard , Fraisier Vincent , Francis Fiona , Perez Franck , Goud Bruno , Baffet Alexandre D 
Published: August 2022

AbstractRadial glial (RG) cells are the neural stem cells of the developing neocortex. Apical RG (aRG) cells can delaminate to generate basal RG (bRG) cells, a cell type associated with human brain expansion. Here, we report that aRG delamination is regulated by the post‐Golgi secretory pathway. Using in situ subcellular live imaging, we show that post‐Golgi transport of RAB6+ vesicles occurs toward the minus ends of microtubules and depends on dynein. We demonstrate that the apical determinant Crumbs3 (CRB3) is also transported by dynein. Double knockout of RAB6A/A' and RAB6B impairs apical localization of CRB3 and induces a retraction of aRG cell apical process, leading to delamination and ectopic division. These defects are phenocopied by knockout of the dynein activator LIS1. Overall, our results identify a RAB6‐dynein‐LIS1 complex for Golgi to apical surface transport in aRG cells, and highlights the role of this pathway in the maintenance of neuroepithelial integrity.
Long-duration energy storage in a decarbonized future: Policy gaps, needs, and opportunities
Authors: McNamara J. William , DeAngelis Valerio , Byrne Raymond H. , Benson Andrew , Chalamala Babu R. , Masiello Ralph 
Published: August 2022

AbstractThe future U.S. electric grid is being transformed with deep decarbonization of generation (i.e., removing or reducing reliance on fossil fuels and replacing them with renewable and clean energy resources), which in practice is not achievable without a dramatic increase in the reliance on long-duration energy storage (LDES) technologies. Regulators at both the state and federal level are well advised to take steps to address current policy gaps, build frameworks that will enable a greater role for LDES to contribute to grid reliability and be fairly compensated for its grid services..Decarbonization by definition is dependent on an increasing reliance on variable renewable energy, primarily wind and solar resources, that needs to be stored for longer durations to maintain electric grid reliability and provide operational flexibility to grid operators. However, despite the growing realization of the need for long-duration energy storage (LDES) technologies, a persistent gap of policy levers at the federal and state level creates a vacuum in terms of defining how and where LDES technologies can be utilized to support the electric grid, along with an inadequate regulatory framework wherein these resources will need to be valued and compensated for the services they can provide. This paper—which is primarily intended for US decision makers, but should be of value for all energy professionals and the general public—addresses policy gaps, needs, and opportunities for LDES that require urgent attention from US-based policymakers at the federal and state level. This paper also provides background information on how the US E&U industry is structured and regulated, along with perspectives on LDES technologies and applications, all of which have direct relevance to the paper’s primary focus on the need for LDES policymaking.DiscussionDespite a generally accepted future need for long-duration energy storage (LDES) technologies that is directly tied to the rapid of renewable resources on the U.S. electric grid, there is a lack of policymaking, market designs, and compensation mechanisms for LDES technologies. Decarbonization (i.e., the goal of removing or reducing reliance on fossil fuels) cannot be achieved at the aggressive levels envisioned without utilizing LDES. Policymakers must take steps now to build frameworks that recognize the unique ways in which LDES will increasingly contribute to grid reliability and resilience, and receive appropriate compensation for the services it provides.Graphical abstract
Application of Problem Based Learning (PBL) Learning Model in Improving Student Learning Outcomes in Natural Sciences Subjects of Material Changes in Objects in Class II MI Al-Islah Sidoarjo
Authors: Sukma Garinda 
Published: August 2022

Background of this study is the low learning outcomes of science subjects class II MI Al-Islah Sidoarjo. The contributing factors are that learning is still conventional, learning is not student-centered, and students lack understanding of the concept, the teacher has not linked the material to real-life every day and is less innovative in the selection of learning models. This can be solved by applying the Problem Based Learning (PBL) learning model in natural science subject matter to change the shape of objects, so students are able to develop critical thinking and be able to solve problems. The purpose of this study are 1) To determine the application of the Problem Based Learning (PBL) learning model in improving student learning outcomes in Natural Sciences subject matter of material changes in class II MI Al-Islah Sidoarjo; 2) To find out the increase in student learning outcomes in natural science subject matter after changing the Problem Based Learning (PBL) learning model to class II MI Al-Islah Sidoarjo students. This research method is a classroom action research model of Kemmis and Taggart which consists of two cycles with four stages. This research was conducted at MI Al-Islah Sidoarjo in class II with 25 students consisting of 14 male students and 11 female students. Data collection techniques in the form of interviews, observation, documentation, and tests. The results showed that 1) The application of the Problem Based Learning (PBL) learning model of material changes can improve teacher activity and student activity. Teacher activity in the first cycle was 73% (enough category) in the second cycle increased to 91% (very good category). Student activity in the first cycle by 75% (enough category) in the second cycle increased to 94% (very good category). 2) Improved learning outcomes that score above KKM (80) with a percentage
Pre-cycle 8%, first cycle 56% and second cycle 80%.
Penerapan Metode Demonstrasi pada Materi Perpindahan Panas untuk Meningkatkan Hasil Belajar Siswa Kelas IV SDN Pucangtelu Lamongan
Authors: Listyoningsih Elmi , Febriani Linda 
Published: August 2022

Penelitian ini bertujuan untuk meningkatkan hasil belajar siswa pada pelajaran IPA materi perpindahan panas melalui metode demonstrasi di kelas IV SDN Pucangtelu. Penelitian ini merupakan Peneltian Tindakan Kelas (PTK) yang terdiri dari 2 siklus. Setiap siklus terdiri dari 4 tahap yaitu perencanaan, tindakan, observasi dan refleksi. Pengumpulan data pada penelitian ini menggunakan tes dan observasi, kemudian dianalisis menggunakan teknik analisis deskriptif kuantitatif. Hasil penelitian menunjukkan adanya peningkatan persentase ketuntasan hasil belajar siswa dari siklus I ke siklus II berturut- turut sebesar 55.5% ke 83,3%. Hal ini menunjukkan bahwa penerapan metode demonstrasi pada materi perpindahan panas dapat meningkatan hasil belajar siswa kelas IV SDN Pucangtelu Lamongan.
Pengembangan Modul Berbasis Problem Based Learning pada Materi Statistika SMP Kelas VIII
Authors: Aldo Nofri , Revita Rena , Nurdin Erdawati 
Published: August 2022

This research aims to develop a valid, practical, and effective eighth-grade Statistical module based on Problem-Based Learning. The ADDIE (Analysis, Design, Development, Implementation, Evaluation) model was used to develop the module in this research. The research findings showed that the developed module was valid with a validity percentage of 85.29% based on the validity test. Based on the practicality test of a small group with eight respondents, the developed module was stated very practical with a practicality percentage of 88.97%. These showed that the developed module completed valid and practical criteria. The practicality test of limited group and module effectiveness test could not be carried out because the learning situation was not effecting during the COVID-19 pandemic.
Disability in a Galaxy Far, Far Away: A Mythology of Villains, "Obsessive Avengers," and Complex Embodiments in Star Wars
Authors: Shaholli Elisa 
Published: August 2022

This article analyzes the depictions disability embodies in the fantasy film series Star Wars. Fantasy as a genre is able to re-present our past and present values through visionary forms and can act as a mirror to the society that creates the image. Fantasy is powerful as it enables films the ability to conceptualize realistic viewpoints and current day culture in their images and themes. In terms of Disability Studies, fantasy plays a critical role in the analysis of disability representation since fantasy is known for exploiting and transforming disabilities into Sharon L. Snyder and David T. Mitchell's "narrative prostheses." Once transformed, disability is used for its representational power rather than its true nature. Utilizing Roland Barthes's research on myth-making and Martin F. Norden's established disability archetypes, I discuss the varying portrayals disabilities have throughout the disability-laden series Star Wars. I discuss how disability portrayals rely on archetypes such as Norden's "Obsessive Avenger," the myth formation of disability as related to a sliding scale for evil, and as a symbolic connection to themes pertaining to technology's dehumanizing effects on humans. However, I also discuss the standalone Star Wars film Rogue One which diverges in portrayals through its exploration of Tobin Siebers's theory of complex embodiment. These films can act as a larger metaphor for films with disabilities today: taking steps when it comes to the improvement of disability representations, yet still behaving as perpetrators of long-held stereotypes and archetypes.