bluuebunny/crossref_metadata_2025 huggingface dataset:
Adjusting the Course Structure for Facilitating the MBKM Program
Authors: Dwi Victa Sari , Kusuma Adhi , Prastyatini Sri Lestari Yuli , Kurniawan Indra , Kumyai Kewwalee
Published: August 2023

The current case study was to analyze the course credit conversion of MBKM experienced by 40 university students who join the student exchange and pre-teacher service. Through the individual interviews among the participants, the study found that there were several reasons why they join the MBKM programs. However, started from the piloting program of both MBKM, the credit conversion has still become the main problem not only among students, but also the university. The discussion was brought under the scope of the structure of the spreading of course unit throughout the semesters. The study suggests that the courses should be redesigned by placing the main course at the beginning of the course: semester one to three, and the last semester. Whereas, the semesters depicted to MBKM were on semester five to seven. It means that the converted course units were on semester five to seven as well.
Students’ Attitude towards Online Learning: Its Impact to Students’ Problem-Solving Ability
Authors: Berico Ariel , Travero Arnel
Published: August 2023

This study assessed the relationship of attitude towards online learning on the problem-solving ability of 2nd year Bachelor of Elementary Education (BEED) students of Don Carlos Polytechnic College. It aimed to describe the level of students’ attitude toward online learning; ascertain the problem-solving ability of the students; correlate students’ problem-solving ability with the attitude toward online learning; and identify which component of attitude towards online learning best impacts and predicts students’ problem-solving ability. A descriptive-correlational research design was used in this study. Mean, correlation and regression analyses were employed. Students were found to have positive attitude towards online learning; however, their problem-solving ability is still very poor. Moreover, there was a significant relationship on students’ attitude towards online learning, specifically on ease-ness in using online learning, on students’ problem-solving ability. Further, it was revealed that problem-solving ability is predicted by ease-ness in using online learning. Nevertheless, due to the limited scope of this work, the authors felt that there is a need for more extensive research particularly in the effectiveness of online learning to arrive at conclusions that would be more valid, and applicable to a larger student population.
Mewujudkan Hakikat Kesejahteraan Umat: Studi Komparasi Pyramid of Needs Maslow dan Trilogy of Needs Murray
Authors: Andriani
Published: August 2023

Kesejahteraan dapat tercapai apabila masyarakat telah memenuhi beberapa indikator didalamnya. Maslow memberikan lima gambaran kebutuhan dasar manusia dalam bentuk pirimida yang meletakan kebutuhan fisiologis pada dasar serta kebutuhan aktualisasi diri sebagai puncak. Sedangkan Murray menggambarkan kebutuhan dasar manusia tidak memiliki tingkatan, secara umum terdiri atas tiga hal yaitu kebutuhan prestasi, afiliasi dan otonomi. Melalui perbedaan atas kebutuhan dasar untuk kesejahteraan manusia menurut Maslow dan Murray, penelitian ini bertujuan membandingkan kedua pemikiran tokoh tersebut. Penelitian ini merupakan jenis kualitatif dengan analisis deskriptif. Kemudian melalui studi literatur yang memperoleh data secara sekunder dalam mendukung analisis penelitian. Hasil penelitian ini menjelaskan bahwa komparasi pemikiran Maslow dan Murray memiliki persamaan terkait pembahasan tentang kebutuhan afiliasi atau sosial dan kebutuhan prestasi atau pencapaian. Sedangkan perbedaan kedua pemikiran tokoh tersebut terkait tingkatan kebutuhan, kebutuhan fisiologis serta kebutuhan rasa aman Maslow yang tidak dicetuskan oleh Murray.
Pola Asuh Anak dalam Interreligious-Culture Marriage Pada Masyarakat Beda Agama
Authors: Gumilang Randi Muhammad , Mahmud Salami , Walidin Warul
Published: August 2023

Penelitian ini dilakukan untuk mengkaji secara mendalam perihal pengasuhan/pola asuh dalam interteligious-cultural marriage pada masyarakat. Secara metodologis, penelitian ini merupakan riset kualitatif dengan menggunakan pendekatan deskriptif. Sumber data yang digunakan pada penelitian ini adalah pasangan yang melakukan pernikahan dengan latar belakang interteligious-cultural marriage. Kemudian padanya digali aspek-aspek penting terkait dengan pola asuh yang dilakukan. Hasil penelitian menunjukan bahwa tiga kecenderungan dalam pola asuh anak, yakni pola asuh otoriter, demokrasi dan permisif bertautan dengan aspek-aspek universal dalam keberagaman yang hadir pada realitas pengasuhan dari pasangan yang melakukan interteligious-cultural marriage. Simpulan dari penelitian ini mengarahkan pada suatu bentuk pemahaman yang holistik akan aspek-aspek budaya dalam pola asuh pada pernikahan interteligious-cultural marriage
PEMBUATAN SABUN MANDI PADAT BERBASIS MINYAK BLONDO DARI LIMBAH VIRGIN COCONUT OIL (VCO)
Authors: Amalia Zuhra , Al-Banna Muhammad Aqil , Irwan Irwan , Zaimahwati Zaimahwati
Published: August 2023

Blondo merupakan salah satu produk sampingan dari poses pembuatan minyak kelapa murni atau sering dikenal sebagai VCO. Blondo dapat dimanfaatkan sebagai bahan dasar dalam pembuatan sabun karena masih memiliki kandungan minyak. Metode yang digunakan pada penelitian ini yaitu metode hot process. Tahapan penelitian ini meliputi tahapan penyediaan bahan baku (minyak blondo, larutan KOH dan minyak zaitun), dengan variasi minyak 20, 25, 30, 35 dan 40 gram. Dan variasi KOH 5, 10, 15, 20 dan 30 ml. selanjutnya dilakukan proses pencampuran antara minyak blondo dan larutan KOH sampai membentuk sabun. Pada uji kadar air paling tinggi kadar airnya adalah sebesar 41.62% dengan volume KOH 30 ml dan minyak blondo 40 gram. pH tertinggi dihasilkan pada volume KOH 30 ml dengan nilai pH 12 dengan massa minyak blondo 20 gram. Asam lemak bebas paling tinggi dengan massa minyak blondo 20 gram dan volume KOH 10 ml dengan kadar ALB 0.45. pada uji organoleptik terdapat satu sampel yang terbaik yaitu sampel 25 dengan massa minyak blondo 40 gram dan volume KOH 30 ml. terhadap warna dengan nilai rata-rata 3.90 (netral), aroma 3.37 (netral) dan tekstur 4.00 (suka). Dari semua uji yang dilakukan hanya uji kadar air yang tidak memenuhi standard SNI. Kata Kunci : Blondo, essensial oil, Sabun padat, VCO.
Elencos de la economía social. Aproximación prosopográfica a los emprendedores de San Luis, Argentina
Authors: Hidalgo Ana Laura
Published: August 2023

Este trabajo se propone explorar la constitución del grupo de emprendedores de la Economía Social y Solidaria (ESS) en San Luis, Argentina. Para ello, se realiza una aproximación prosopografía de los actores que realizan actividades en el marco del Programa Nacional de Microcrédito para la ESS (Ley 26.117). El abordaje prosopográfico se desarrollará en tres ejes de lectura posibles y simultáneos; los aspectos morfológicos del colectivo, las representaciones arquetípicas y los estereotipos que se proyectan. El artículo sistematiza el trabajo de campo realizado durante los años 2012 al 2019.
Resource Partitioning Between Two Teiid Species (Sauria: Teiidae) in Cerros de Amotape National Park (Tumbes, Peru)
Authors: Jordán Juan C. A. , Mendoza Alejandro H. , Guzmán Alfredo C. , Pérez José Z.
Published: August 2023

Saurians use differentially three dimensions of the ecological niche: spatial, temporal, and trophic niche to minimize or avoid competition. During dry season of 2006, we compared resource partitioning in two saurian species, Holcosus septemlineatus and Medopheos edracanthus. In Cerros de Amotape National Park (Tumbes, Peru), Holcosus septemlineatus and M. edracanthus presented high overlap in spatial (Φjk = 0.81) and temporal niches (Φjk = 0.88), while trophic niche overlap was intermediate (Φjk = 0.52). Both lizard species showed similar activity patterns (08:00 – 16:00) and body temperatures (35.9° and 36.6°C, respectively), although they faced different thermal environments, and selected different microhabitats. Holcosus septemlineatus selected more forest-covered microhabitats, while M. edracanthus used more sun-exposed microhabitats. Both species consumed a similar diet (crickets, spiders, termits and insect larvae). Apparently, the trophic niche index value could be associated with a high prey abundance and to slight differences in microhabitat use related to sun-exposure degree. This should be used as a resource partitioning strategy between these two species at Cerros de Amotape National Park.
Bitcoin Price Short-term Forecast Using Twitter Sentiment Analysis
Authors:   Financial University under the Government of the Russian Federation, Moscow, Russian Federation, Mikhaylov A. Yu. , Khare V. ,   School of Technology, Management and Engineering NMIMS, Indore, India, Uhunamure S. E. ,   Cape Peninsula University of Technology, Cape Town, South Africa, Chang Ts. ,   Department of Finance, Feng Chia University, Taichung, Taiwan, Stepanova D. I. ,   Plekhanov Russian University of Economics, Moscow, Russian Federation
Published: August 2023

The goal of the article is to develop an innovative forecasting approach based on the Random Forest and fuzzy logic models for predicting crypto-asset prices (IFSs, PFSs, q-ROFSs). The baseline forecast horizon is 90 days (additional horizons are 30, 60, 120 and 150 days), which allows to estimate the significance of the chosen features and the impact of time on the forecast accuracy. The paper proposes an optimal data selection approach for the Random Forest and fuzzy logic models to improve the prediction of the daily closing price of Bitcoin, using online social network activity, trading parameters, technical indicators, and data on other cryptocurrencies. This paper utilizes a tree-based machine learning prediction and a fuzzy logic model for Bitcoin. The article attempts to prove that automated Bitcoin forecasting using machine learning algorithms is very effective for the cryptocurrency market. Nevertheless, the latter is characterized by high volatility, significant rate hikes of the most liquid cryptocurrencies (mainly Bitcoin). Therefore, investments in cryptocurrencies, especially long-term ones, involve significant risks. This defines the paper’s significance for investors and regulators. As shown by simulation studies of data selection approaches generalizing the accuracy performance of the Random Forest and fuzzy logic models to real preferences of forecasting, even under significant noise measurements, the proposed selection approach leads to fast convergence of estimates. The accuracy of the model’s results exceed 85.21 on a 90-day time horizon.
Phylogeny and species diversity of the genus Helvella with emphasis on eighteen new species from China
Authors: Mao N. , Xu Y.Y. , Zhang Y.X. , Huang X.B. , Hou C.L. , Fan L.
Published: August 2023

Helvella is a widespread, frequently encountered fungal group appearing in forests, but the species diversity and molecular phylogeny of Helvella in China remains incompletely understood. In this work, we performed comprehensive phylogenetic analyses using multilocus
sequence data. Six datasets were employed, including a five-locus concatenated dataset (ITS, nrLSU, tef1-α, rpb2, hsp), a two-locus concatenated dataset (ITS, nrLSU), and four single-locus datasets (ITS) that were divided based on the four different phylogenetic
clades of Helvella recognized in this study. A total of 1 946 sequences were used, of which 713 were newly generated, including 170 sequences of ITS, 174 sequences of nrLSU, 131 sequences of tef1-α, 107 sequences of rpb2 and 131 sequences of hsp. The phylogeny
based on the five-locus concatenated dataset revealed that Helvella s. str. is monophyletic and four phylogenetic clades are clearly recognized, i. e., Acetabulum clade, Crispa clade, Elastica clade, and Lacunosa clade. A total of 24 lineages or subclades
were recognized, 11 of which were new, the remaining 13 corresponding with previous studies. Chinese Helvella species are distributed in 22 lineages across four clades. Phylogenetic analyses based on the two-locus concatenated dataset and four single-locus datasets confirmed the presence
of at least 93 phylogenetic species in China. Among them, 58 are identified as known species, including a species with a newly designated lectotype and epitype, 18 are newly described in this paper, and the remaining 17 taxa are putatively new to science but remain unnamed due to the paucity
or absence of ascomatal materials. In addition, the Helvella species previously recorded in China are discussed. A list of 76 confirmed species, including newly proposed species, is provided. The occurrence of H. crispa and H. elastica are not confirmed although both are
commonly recorded in China.
The integration of modern art design and folk art under the background of cultural industrialization in China
Authors: Churan Wang , Younghwan Pan
Published: August 2023

Under the background of cultural industrialization, this article analyzes the combination of modern art design and traditional folk art in China, discusses the fusion strategy of modern art design and folk art. The effective connection between modern art design work and folk art connotation can fully demonstrate the cultural characteristics of the whole art design work and effectively improve the impact on society through art design.
Integration of Dual Color Space and Contrast Learning for Enhancing Satellite Images
Authors: Ozcan Samed
Published: August 2023

As the demand for geographical information continues to expand, satellite imagery plays a pivotal role in acquiring vital geospatial data. Nevertheless, satellite images often exhibit characteristics such as reduced clarity, low contrast, and color inconsistencies due to various atmospheric and imaging conditions. These issues pose challenges to effective information extraction from satellite imagery. Despite the rapid progress in deep learning and its ability to learn intricate patterns, current research still confronts issues such as loss of localized features and excessive color saturation. To tackle these challenges, this study introduces an innovative approach for enhancing satellite imagery through the integration of dual color spaces and contrastive learning, specifically leveraging the RGB and Lab color spaces. The RGB color space facilitates color calibration and reduction of artifacts, whereas the Lab color space enhances color intensity and intricate textures. By employing contrastive learning with positive and negative samples, the proposed method aims to generate images that closely resemble high-quality satellite imagery, departing from the typical attributes of raw satellite images. Through rigorous experimentation on authentic satellite image datasets, the proposed approach demonstrates its effectiveness. It achieves remarkable outcomes in terms of key metrics such as PSNR, SSIM, and UIQM, surpassing alternative methods for satellite image enhancement.
How Populist Incumbents Survive Economic Crises: Theory and Evidence from Turkey
Authors: Akbiyik Ahmet , O'Donohue Andrew
Published: August 2023

Conventional wisdom holds that economic crises such as high inflation reduce public support for incumbents, yet some incumbents retain surprising popular approval. How do incumbents maintain public support and win elections during economic crises? We argue that incumbents generally—and populist incumbents specifically—may use two communication strategies to maintain support. First, incumbents divert attention to sociocultural issues to reduce the salience of their poor economic performance. Second, incumbents stress relative competence by emphasizing their economic achievements and the opposition’s incompetence in economic management. To test the effectiveness of these strategies, we conducted an ethnographically informed survey experiment with 2,400 citizens before Turkey’s 2023 election, a context of high inflation. Respondents were exposed to rhetoric simulating campaign messaging about sociocultural or economic issues. Whereas attempts to divert attention to sociocultural issues had no effect, economic appeals about relative competence increased respondents’ approval of the incumbent. Incumbent appeals about mega-projects and economic nationalism are key mechanisms increasing approval of the incumbent. Surprisingly, incumbent economic rhetoric was effective at increasing public support even amid economic crisis.
The effects of the rhetorical charisma signal and voice pitch in female leader selection
Authors: Wilms Rafael , Oostrom Janneke Karina , van Garderen Emma
Published: August 2023

Women are often discriminated against in leader selection contexts. The goal of the presentstudy is to examine the role of the rhetorical charisma signal, voice pitch and their interaction in female leader selection (i.e., perceptions of [incentivized] hirability, competence and warmth). We derive our hypotheses based on the charisma signaling theory and the evolutionary perspective on charisma. Based on two pre-registered experiments (total N = 1316), we found that the rhetorical charisma signal increases the applicant’s hirability, while the results were mixed for competence and warmth. Study 1 showed that small changes in voice pitch of ±20Hz did not affect any of the outcomes. In Study 2, we altered the actress’s voice to a low, average, and high female pitch. The results revealed that only a low (vs. baseline) but not a high voice (vs. baseline) pitch increased perceived hirability and competence (while perceived warmth remained unaffected). Furthermore, the interaction between the rhetorical charisma signal and voice pitch did not predict any of the outcomes. Theoretical contributions, practical implications and limitations are discussed.
Advancing Satellite Image Enhancement through YCbCr Color Space and Innovative Learning
Authors: Ozcan Samed
Published: August 2023

As the demand for comprehensive geographical information continues to surge, satellite imagery assumes a pivotal role in acquiring essential geospatial data. However, intrinsic challenges within satellite images, including diminished clarity, subdued contrast, and color disparities resulting from diverse atmospheric and imaging conditions, hinder the extraction of vital information. Despite the advancements in deep learning and its prowess in deciphering intricate patterns, ongoing research grapples with issues such as the erosion of localized features and unwarranted color emphasis. To tackle these challenges, this study forges an innovative path to enhance satellite imagery by employing the YCbCr color space. Unlike the RGB color space, which can struggle to accurately represent luminance and chrominance variations, the YCbCr model effectively separates these components, allowing for targeted enhancement of image elements. By integrating an inventive learning approach that encompasses diverse sample sets, the proposed methodology aims to generate images that authentically resemble high-quality satellite imagery, surmounting the limitations posed by conventional raw satellite images. Through an extensive series of experiments conducted on real-world satellite image datasets, the proposed approach compellingly demonstrates its efficacy. It attains remarkable benchmarks in crucial metrics such as PSNR, SSIM, and UIQM, outperforming alternative techniques within the realm of satellite image enhancement.
BTF3L4 is differentially expressed in central nervous system metastasis in human breast cancer.
Authors: Mamoor Shahan
Published: August 2023

Metastasis to the brain occurs in a significant fraction of patients with breast cancer (1-3). We mined published RNA-sequencing and microarray data (4, 5) to compare primary and metastatic tumor transcriptomes for the discovery of genes associated with brain metastasis in humans with metastatic breast cancer. We found that basic transcription factor 3-like 4, encoded by BTF3L4, was among the genes whose expression was most different in the brain metastases of patients with metastatic breast cancer as compared to primary tumors of the breast. BTF3L4 mRNA was present at increased quantities in brain metastatic tissues as compared to primary tumors of the breast. Expression of BTF3L4 in primary tumors was not correlated with patient survival outcomes. Modulation of BTF3L4 expression may be relevant to the biology by which tumor cells metastasize from the breast to the brain in humans with metastatic breast cancer.
Independent estimates of net carbon uptake in croplands: UAV-LiDAR and machine learning vs. eddy-covariance
Authors: Revenga Jaime , Trepekli Katerina , Jensen Rasmus , Rummel Pauline , Friborg Thomas
Published: August 2023

Understanding sequestration of organic carbon (C) in agroecosystems is of primary importancefor greenhouse gas (GHG) accounting in managed ecosystems, reducing the environmental footprint of land use, and inform crediting programs. However, a broader application of precise C accounting is currently constrained by a limited number of direct flux measurements. Aside well-studied ecosystems via the eddy covariance technique (EC), many still bear significant uncertainty. In this study, we propose and evaluate a method for estimating accumulated C stocks in agricultural sites, by assessing the plant aboveground carbon (AGC) throughout the growing season using unstaffed aerial vehicles and machine learning (ML) regression methods. Then, we benchmark these estimates with CO2 fluxes derived from the eddy covariance method from the ICOS DK-Vng site in Denmark. We utilized a light detection and ranging (LiDAR) sensor onboard an unstaffed aerial vehicle (UAV) to derive the structural characteristics of crops, and we conducted in parallel destructive field-based measurements of AGC. Then, we designed a ML pipeline to provide estimates of AGC as a supervised regression problem, using the LiDAR-derived point cloud data to extract predictive features and the AGC labels as ground-truth target values. The best performing ML model attained predictions of R2 = 0.71 and R2 = 0.93 at spatial resolutions of 1 m2 and 2 m2, respectively. The C content in the aboveground plant components was assessed via laboratory analysis (46.6 ± 0.3% of C-to-biomass in barley and 47.7 ± 0.3% in wheat), while the belowground components (root allocation and rhizodeposition) were estimated based on a phenology-dependent allometric ratio. The cumulative value of C uptake along the growing season (i.e. NPP) was compared with the difference of C predictions between every two UAV-LiDAR survey dates, finding an optimal disagreement between methods below ± 9% in two different cereal crops. The plant carbon budget in croplands, determined through UAV-LiDAR and machine learning regression, aligns with the carbon ecosystem uptake estimated through the eddy covariance technique, showcasing comparable results. Thereby, the proposed method also demonstrates the potential to estimate cumulative CO2 fluxes in areas lacking direct eddy covariance measurements. Various experimental setups are evaluated as well as the sources of uncertainty resulting from the sampling design.
The driving factors of compressed semantic representations in visual working memory
Authors: Todorova Lara , Gunseli Eren
Published: August 2023

Visual working memory (VWM) has a notably limited capacity of 3-4 items. Recent studies have suggested that this capacity can be larger for semantically meaningful information. However, whether the shared semantics across objects has additional benefits on VWM capacity remains controversial. While some studies find that same-category objects facilitate VWM performance, suggesting efficient coding, or compression in VWM, others cast doubt on the compression hypothesis. To contribute to resolving this controversy, we will test a series of factors that differ across studies that support compression and those that do not. These factors are the availability of WM resources and the difficulty of extracting semantic congruency, as determined by memory load of semantically congruent vs. incongruent items, respectively (Experiment 1), the expectations regarding the benefits of summary statistics, as determined by the probe type being single-probe or whole-display report (Experiment 2), the contribution of perceptual vs. conceptual similarity, as determined by shared semantics being at the basic-level vs. high-level (Experiment 3), and the duration of the encoding display (Experiment 4). We will present participants with a change detection task where participants will be given a probe and will be asked if the probe items match the memory items. Larger d’ for congruent objects as opposed to incongruent ones will be used as an index of semantic compression. By exploring the effects of conceptual knowledge on VWM storage, this study will develop a better understanding of VWM organization.
The emergence of self-awareness: insights from robotics
Authors: Mentzou Aikaterini , Ross Josephine
Published: August 2023

The ability for self-related thought is historically considered to be a uniquely human characteristic. Nonetheless, as technological knowledge advances, it comes as no surprise that the plausibility of humanoid self-awareness is not only theoretically explored but also engineered. Could the emerging behavioural and cognitive capabilities in artificial agents be comparable to humans? By employing a cross-disciplinary approach, the present essay aims to address this question by providing a comparative overview on the emergence of self-awareness as demonstrated in early childhood and robotics. It argues that developmental psychologists can gain invaluable theoretical and methodological insights by considering the relevance of artificial agents in better understanding the behavioural manifestations of human self-consciousness.
Further Evaluation of Inflammatory and Noninflammatory Aspects of Pain in Rheumatoid Arthritis Patients
Authors: Jansen Niels , ten Klooster Peter M. , Vonkeman Harald E. , van den Berg Boudewijn , Buitenweg Jan R.
Published: August 2023

Objective. A high discrepancy between the number of tender and swollen joints (e.g., ΔTSJ≥7) has previously been used as indication for the presence of changes in central mechanisms in patients with moderate-high disease activity. In this study, we explored whether the ΔTSJ can be also used to obtain insights into the underlying pain mechanisms in patients with on average well-controlled disease activity. Methods. A 2-year retrospective analysis of routinely obtained DAS28-components was performed on 45 patients with on a group-level low inflammatory activity. All patients underwent pressure- and electrical pain threshold measurements (PPT and EPT) and completed four self-report questionnaires (Short-Form 36 [SF-36v2]; Central Sensitization Inventory [CSI]; Generalized Pain Questionnaire [GPQ] and the Pain Catastrophizing Scale [PCS]). Results. Patients with a ΔTSJ of ≥3 at least once in the past 2 years showed significantly lower EPT and PPT values and higher levels of pain and disability on the SF-36v2 compared to the ΔTSJ<3 group. Furthermore, GPQ scores were significantly higher in those with ΔTSJ≥3, while CSI and PCS scores were similar. Conclusion. These findings suggest that in patients in the ΔTSJ≥3 group, other mechanisms than (only) inflammation underlie the pain. Moreover, our findings suggest that amongst the multiple potential underlying psychological mechanisms, pain catastrophizing (as measured by the PCS) and psychological hypervigilance (as measured by the CSI) do not play an important role. These findings could be useful in the clinical management of the patient, as dependent on the dominant mechanism underlying the (persistent) pain, patients might respond different to treatment.
Age differences in the principal temporo-spatial components of EEG activity during a proactive interference task.
Authors: Moore Harry Thomas Alan , Sampaio Adriana , Pinal Diego
Published: August 2023

Proactive interference (PI) is the disruptive effect of no longer relevant information on current working memory (WM) processing. PI effects in EEG data have been previously found to be altered in healthy aging, although it remains unclear the extent to which such changes reflect delayed or different brain mechanisms employed to overcome PI. Hence, we had twenty-six young (18-34 years) and sixteen old (53-68 years) healthy adults complete a Recent Probes task while EEG was recorded. Compared to young adults, old adults were slower, less accurate and less able to discriminate when they last saw a given stimulus, but PI effects on reaction time were greater in the former, likely due to a general difficulty that old adults had in the task. Temporo-spatial principal component analysis of the EEG data showed young and older adults to differ in terms of temporal and spatial characteristics of brain activity associated with resolving PI. YA showed a factor indicative of a medial frontal negativity (MFN) that showed greater amplitude in low compared to high PI trials. OA, in contrast, showed a late positive component (LPC), although similarly with larger amplitude in low compared to high PI trials. The modulation of the MFN component in YA may reflect the recruitment of cognitive control to overcome PI. The modulation of the LPC in OA may represent the detection of conflict between familiarity and context recollection during PI.
Math = Me > Me = Female, Math People are Less Math Averse: Identity Correlates Above Gender with Math Anxiety and Implicit Attitudes
Authors: Woodford Benjamin S.
Published: August 2023

In a study conducted on a sample of 205 participants sampled from MTurk, the relationship between math anxiety and implicit associations compared between math and art were examined. The dependent variables were compared along traditional demographic lines and across dimensions of mathematics identity. The study utilized both a full math anxiety metric and the Single Item Mathematics Anxiety scale for cross-tool validation. The results showed that identifying as a "math person" or a "mathematically minded thinker" had the strongest correlation with both the implicit and explicit measures of math anxiety. These findings suggest that simple identity questions may have greater predictive power in regard to educational attitudes than demographic factors such as gender or race. Overall, the study highlights the importance of considering explicit and implicit measures when examining personal and cultural biases toward mathematics learning. Future research could benefit from utilizing a similar approach to gain a more comprehensive understanding of these cognitive biases effects on learning.
Double Robust, Flexible Adjustment Methods for Causal Inference: An Overview and an Evaluation
Authors: Hoffmann Nathan Isaac
Published: August 2023

Double robust methods for flexible covariate adjustment in causal inference have proliferated in recent years. Despite their apparent advantages, these methods are rarely used by social scientists. It is also unclear whether these methods actually outperform more traditional methods in finite samples. This paper has two aims: It is a guide to some of the latest methods in double robust, flexible covariate adjustment using machine learning, and it compares these methods to more traditional statistical methods and flexible "single robust" methods. It does this by using both simulated data where the treatment effect estimate is known, and then by replicating some prominent articles in sociology that use simpler methods. Double robust methods covered include Augmented Inverse Probability Weighting (AIPW), Targeted Maximum Likelihood Estimation (TMLE), and Double/Debiased Machine Learning (DML). Results suggest that some of these methods do outperform traditional methods in a wide range of simulations, but only slightly. In particular, the top performers are TMLE and AIPW in conjunction with flexible machine learning estimators. But G-computation with the same flexible estimators obtains almost identical results, and simple regression methods have only slightly higher bias and are much more computationally efficient. In the article replications, the application of double robust methods substantively changes some, but not all, of the results, highlighting the importance of comparing performance from multiple estimators.
Harnessing the Power of Artificial Intelligence to Forecast Startup Success: An Empirical Evaluation of the SECURE AI Model
Authors: Morande Swapnil , Arshi Tahseen , Gul Kanwal , Amini Mitra
Published: August 2023

This pioneering study employs machine learning to predict startup success, addressing the long-standing challenge of deciphering entrepreneurial outcomes amidst uncertainty. Integrating the multidimensional SECURE framework for holistic opportunity evaluation with AI's pattern recognition prowess, the research puts forth a novel analytics-enabled approach to illuminate success determinants. Rigorously constructed predictive models demonstrate remarkable accuracy in forecasting success likelihood, validated through comprehensive statistical analysis. The findings reveal AI’s immense potential in bringing evidence-based objectivity to the complex process of opportunity assessment. On the theoretical front, the research enriches entrepreneurship literature by bridging the knowledge gap at the intersection of structured evaluation tools and data science. On the practical front, it empowers entrepreneurs with an analytical compass for decision-making and helps investors make prudent funding choices. The study also informs policymakers to optimize conditions for entrepreneurship. Overall, it lays the foundation for a new frontier of AI-enabled, data-driven entrepreneurship research and practice. However, acknowledging AI’s limitations, the synthesis underscores the persistent relevance of human creativity alongside data-backed insights. With high predictive performance and multifaceted implications, the SECURE-AI model represents a significant stride toward an analytics-empowered paradigm in entrepreneurship management.
Penilaian Harian 01 “Pendidikan Pancasila dan Kewarganegaraan” Kelas 5D
Authors: Setiawan Adib Rifqi
Published: August 2023

Penilaian Harian 01 “Pendidikan Pancasila dan Kewarganegaraan” Kelas 5D
Monetary policy variables and return on equity: Empirical evidence of quoted insurance firms in Nigeria
Authors:   Financial Controller, Pyramid Associates Limited, Port Harcourt. Nigeria., Zaagha Alexander Sulaiman
Published: August 2023

This study examined the effect of monetary policy variables and return equity of quoted insurance firms in Nigeria. Secondary data were obtained from the financial statement of 15 quoted insurance firms and the Central Bank of Nigeria Statistical Bulletin. The study modelled return on equity as the dependent variables while money supply, private sector credit, monetary policy rate, treasury bill rate and real interest rate as independent variables. Panel data methodology is employed while the fixed effects model was used as estimation technique at a 5% level of significance. Fixed effects, random effects and pooled estimates were tested while the Hausman test was used to determine the best fit. From the findings, the study conclude that money supply and real interest rate have negative but no significant effect on the return on equity. Monetary policy rate and private sector credit have a positive and significant effect while the Treasury Bill Rate have a positive but no significant effect on the return on equity of the insurance firms. It recommends that the management of the insurance companies should devise measures of managing the negative effect of monetary policy instruments on the performance of the insurance companies and the monetary authorities should harmonize the profitability objectives of the insurance companies with that of monetary policy to avert the negative effect on return on equity of the quoted insurance firms.
PENGARUH JENIS PEWARNAAN TERHADAP KUALITAS TERASI UDANG REBON(Acetes erythraeus) SEBAGAI RANCANGAN MODUL PADA MATERI BIOTEKNOLOGI SMA KELAS XII
Authors: S Yunita Kesia , Mahadi Imam , Wulandari Sri
Published: August 2023

Terasi memiliki warna asli coklat kehitaman yang berpengaruh terhadap daya tarik konsumen. Secara umum bahan pewarna yang sering digunakan terbagi atas pewarna alami dan sintetis (buatan). Pewarna sintetis lebih mudah ditemukan dipasaran dengan harga yang relatif lebih murah dibandingkan pewarna alami. Namun banyak sekali produsen yang menyalahgunakan pemakaian pewarna. Oleh karena itu dilakukan penelitian ini untuk mengetahui pengaruh limbah kulit buah manggis, kulit buah naga dan karmoisin terhadap kualitas terasi udang rebon (Acetes erythraeus) serta menghasilkan rancangan modul sebagai bahan ajar pada pembelajaran biologi kelas XII SMA. Penelitian ini terdiri dari dua tahap yaitu eksperimen dan perancangan modul pada bulan April-Mei 2021. Eksperimen dengan desain Rancangan Acak Lengkap (RAL) dan menggunakan 4 perlakuan dengan 3 kali ulangan. Perlakuan yang diberikan berupa perbedaan pewarna, pewarna alami (kulit buah manggis dan kulit buah naga) dan pewarna sintetis (karmoisin). Adapun perlakuan: P0(perlakuan tanpa pewarna), P1 (ekstrak pewarna kulit buah manggis), P2 (ekstrak pewarna kulit buah naga), dan P3 (pewarna karmoisin). Parameter yang diukur meliputi kadar protein, kadar lemak, kadar pH, kadar air, dan uji organoleptik. Hasil penelitian menunjukkan bahwa limbah kulit buah berpengaruh sangat nyata terhadap kualitas terasi udang rebon. Perlakuan yang terbaik adalah P1 (ekstrak pewarna kulit buah manggis) dengan kadar protein sebesar 20,15%, kadar lemak 0,08%, kadar pH 6,8, kadar air 23,97%, nilai uji kenampakan 8,9, nilai uji bau 8,6,  nilai uji rasa 8,6, nilai uji tekstur 8,5 dan nilai hedonik 8,6. Hasil eksperimen digunakan untuk modul sebagai bahan ajar pada materi bioteknologi konvensional pada pembelajaran Biologi di SMA kelas XII.
छ मायाँ छपक्कै’ चलचित्रमा राजनीतिक सन्दर्भ (Political Context in the Movie 'Chha Mayan Chhapakkai')
Authors: ओझा Ojha बाबुराम Baburam
Published: August 2023

छ माया छपक्कै’ चलचित्रमा राजनैतिक सन्दर्भ’ शीर्षकमा रहेका यस लेखमा सो चलचित्रमा भएको राजनैतिक सन्दर्भका विषयलाई केन्द्रित गरिएको छ । सन्दर्भ विश्लेषण सङ्कथन विश्लेषणको एक महत्वपूर्ण पक्ष मानिन्छ, जसका सहायताले कुनै पनि सङ्कथनात्मक पाठमा अन्तर्निहित विभिन्न अर्थहरू पत्ता लगाउन सहज हुन्छ । यस लेखमा ‘छ माया छपक्कै’ चलचित्रमा रहेकोे राजनैतिक सन्दर्भको अध्ययन गरी विश्लेषण गरिएको छ । लेख तयार पार्नका लागि विषयको सैद्धान्तिक विषयका द्वित्तीयक सामग्री पुस्तकालयबाट सङ्कलन गरिएको छ र विषयको विश्लेष्य प्राथमिक सामग्री ‘छ माया छपक्कै चलचित्र’ इन्टरनेटबाट सङ्कलित गरिएको छ । सामग्रीको विश्लेषणका लागि निगमन विधि र तथ्याङ्कको प्रस्तुतीकरणमा वर्णनात्मक विधि प्रयुक्त भएको छ । ‘छ माया छपक्कै’ चलचित्रको अन्तर्वस्तुमा प्रयुक्त समकालीन राजनैतिक सन्दर्भले विशेष राजनैतिक अर्थ बोकेका छन् । यस्ता सन्दर्भले खराब राजनैतिक संस्कार, सुशासनको अभाव, आर्थिक शोषण, नातावाद र कृपावाद तथा  अपारदर्शी र भ्रष्ट कर्मचारीतन्त्र रहेको समकालीन राजनैतिक अवस्थालाई इङ्गित गर्छन् । यहाँका राजनैतिक सन्दर्भको मुख्य आशय समकालीन राजनैतिक सङ्क्रमणकालीन अवस्था र भ्रष्टाचरण, केन्द्रीकरणयुक्त शासन प्रणाली र यसका कारण भएको क्षेत्रीय विभेदको उद्घाटन गर्नु रहेको छ । यस्ता सन्दर्भले समकालीन राजनैतिक तरलता र खराब प्रजातान्त्रिक आचरणलाई प्रकाश पारेको छ ।

(In this article entitled 'Political context in the movie 'Chha Mayan Chhapakkai', the political context existed has been focused. Contextual analysis is considered as an important aspect of compositional analysis, with the help of which it is easy to discover the various meanings inherent in any compositional text. In this article, the political context in the movie 'Chha Mayan Chhapakkai' has been studied and analyzed. To prepare the article, the secondary data related to the theoretical aspects of the subject has been collected from the library, and the primary data for the analysis of the subject has been collected from the Internet. The deductive method has been used for the analysis of content and descriptive method for data presentation. The contemporary political context used in the content of the movie 'Chha Mayan Chhapakkai' has a special political meaning. Such political contexts point to the contemporary political situation of bad political culture, lack of good governance, economic exploitation, nepotism and forgivism and opaque and corrupt bureaucracy. The main purpose of the political context here is to explore the contemporary political transitional situation and the corruption, centralized governance system and the resulting regional discrimination caused by such factors. Such political contexts have highlighted contemporary political fluidity and poor democratic practices.)
अविद्या/माया चिन्तनका दृष्टिमा ऋतुविचार खण्डकाव्य (Rituvichara Khandakavya in view of Avidya/Maya Thoughts)
Authors: शर्मा Sharma यादवप्रसाद Yadavprasad
Published: August 2023

ऋतुविचार खण्डकाव्यलाई पौरस्त्य दर्शनको अविद्या÷मायासम्बन्धी मान्यताका आधारमा विवेचना गरिएको यस अनुसन्धानात्मक लेखका निम्ति आवश्यक सामग्री पुस्तकालयीय स्रोतबाट सङ्कलन गरिएको छ र सैद्धान्तिक आधारको निर्माणमा निगमनात्मक विधिको प्रयोग गरिएको छ । यस क्रममा क्रमशः उपनिषद्, साङ्ख्य, योग, न्याय, वैशेषिक, मीमांसा, वेदान्त र बौद्ध दर्शनका अविद्यासम्बन्धी स्थापनाहरूको अनुशीलन र ऋतुविचार खण्डकाव्यको सूक्ष्मपठन गरी अविद्यासम्बन्धी चिन्तन अभिव्यञ्जित प्रमुख श्लोकहरू ठम्याएर तिनीहरूको व्याख्या÷विश्लेषण गरिएको छ । अन्त्यमा ऋतुविचार खण्डकाव्यको मूल अलङ्कार्य विषय परिवर्तनमूलक ऋतुचव्रmसम्बन्धी प्रकृतिचित्रण रहे पनि अध्यात्मसम्बन्धी विषयगत विम्बहरू प्रकृतिचित्रणका सन्दर्भमा नै आएका छन् । यसरी काव्यमा अध्यात्मसम्बन्धी विषयगत विम्बहरूले पनि प्राकृतिक परिवर्तनमूलक ऋतुचव्रmसम्बन्धी मूल विषयवस्तुभित्र नै स्थान पाएका छन् र पौरस्त्य दर्शनको अविद्या÷मायासम्बन्धी चिन्तन पनि अलङ्कार्यका रूपमा नभएर अलङ्कारका रूपमा व्यक्त भएको छ । यस खण्डकाव्यमा व्यक्त अविद्या÷मायाचिन्तनमा साङ्ख्य, योग, न्याय, वैशेषिक, मीमांसा र वेदान्तको प्रभाव लेखनाथको अध्ययन एवं श्रवण, मनन तथा निदिध्यासनगत भए तापनि बौद्ध दर्शनको प्रभाव भने उपर्युक्त दर्शनहरूसँग बौद्ध दर्शनको साम्यता र कविको पूर्वसंस्कारगत हो भन्ने निष्कर्ष दिइएको छ ।

(Rituvichara Khandakavya has been analyzed on the basis of Paurastya Darshan's notions of ignorance(avidya) and love (maya) in this article. The necessary material for this research article has been collected from library sources and deductive method has been used in the construction of the theoretical base. In this sequence, the Upanishad, Sankhya, Yoga, Nyaya, Vaisheshika, Mimamsa, Vedanta and Buddhist philosophy related to Avidya were studied and Rituvichara Khandakavya was carefully read and the main verses expressing thoughts on Avidya were identified and analyzed. In the end, although the main decorative theme of Rituvichar Khandakavya is nature depiction related to changing seasons, the thematic symbols related to spirituality have come in the context of nature depiction. In this way, the thematic symbols related to spirituality in the poetry have also found a place within the main theme related to the natural changing seasons, and the thought about ignorance and love in Paurastya philosophy has also been expressed not as a cause to figure of speech but as a figure of speech. Although the influence of Sankhya, Yoga, Nyaya, Vaisheshika, Mimamsa and Vedanta in Avidya/Maya thinking expressed in this ode poem is consistent with Lekhnath's study and hearing, meditation and Nididhya; it has been concluded that the influence of Buddhist philosophy is the closeness of Buddhist philosophy with the above-mentioned philosophies, and earlier-cultural concept of the poet.)
Prevalence of Alcohol Consumption and Knowledge on its Consequences among Young Adult in Ward Number Five at Kachan Kawal Municipality, Nepal
Authors: Basnet Saraswati , Rajbonshi Sharmila
Published: August 2023

The harmful use of alcohol causes many disease, social and economic burden in societies. The harmful use of alcohol ranks among the top risk factors for disease, disability and death through world.  youth, who start drinking before age 15 years are six time more likely to develop alcohol dependence or abuse later in life than those who begin drinking at or after age 20 years. Aim of the study is to find out the prevalence of alcohol consumption and knowledge on its consequences among young adult (19-39 years) young adult in ward number 5 at Kachan Kawal Municipality, Jhapa. Descriptive cross sectional research design was used in this study. Non probability purposive sampling technique was used to select 50 young adult and semi -structured interview schedule was used to collect data. Data analysis was done on SPSS version 20.0. Descriptive statistics i.e. frequency, mean and standard deviation and inferential statistics i.e. chi square test was used to find the association between dependent and independent variable The finding of the present study revealed that out of 50 respondent 70% had current drinker, with male 44% outnumbering female 24%. Among those consumed alcohol 83.33% have used it before the age of 20 years. More than half of the respondents had been good knowledge on consequences of alcohol consumption i .e 56.0% and 44.0% had poor knowledge. It was concluded that alcohol consumption was high among male than female. There is association between level on knowledge on consequences and alcohol consumption and socio demographical variables.
Potentiality and Threats of Avocado Farming in Eastern Hills of Nepal
Authors: Wagle Shyam Prasad
Published: August 2023

Innovative and profitable agriculture has become indispensable for the supply of food and nutrients to people as well income generation. Thus, this study deals with the feasibility of commercial avocado farming including the analysis of problems related to this especially in the case of eastern hilly areas of Nepal. This study applied household questionnaire survey, key informant survey, focus group discussions and field observation to collect relevant primary information. Previous research journals, dissertations, books and official records were used as the major sources of secondary data collection. This study covers the entire area of Ward No. 3 of  Dhankuta Municipality. Around, 44 percent (223hhs) farm households were selected as a sample out of the total 506 households of this area based on Yamane's sample determination formula (1967).This study proves that the agriculture system can be made profitable and useful through carefully using of new high valued crops. It reveals that avocado is a new commercial crop with maximum potential in the hilly areas of eastern including both challenges and opportunities. Moreover, this study also confirms that the avocado farming is not only a profitable business but also a risky and challenging. The farmers are facing various socio-economic challenges while doing this cultivation. Thus, the conclusion of the study is that the new agricultural activities are not free from challenges so that farmers must be faced patently to achieve success. This conclusion conveys the message that the success achieved only by facing barriers is sustainable.
Multiculturalism in English Education Curriculum of Higher Education in Nepal
Authors: Baral Madan Prasad
Published: August 2023

Multicultural education is transformative, emancipatory, and justice-oriented. As multiculturalism is the defining characteristic of Nepali society and the basic identity of Nepal, the relevancy of multicultural education can hardly be exaggerated. The Constitution of Nepal, 2015 has also acknowledged unity in diversity as the basic feature of the country. So, multiculturalism needs to be incorporated into Nepal’s educational system and teacher education programme. In this context, this study aims to explore multiculturalism in teacher education curriculum of Tribhuvan University and outlines the basic features of multiculturalism and assesses the present teacher education curriculum of English Education in B. Ed under Tribhuvan University in terms of multiculturalism. Analysing the different components of English Education Courses of B. Ed in English Education, it is concluded that multiculturalism is adequately addressed in objectives and content of reading courses while other English education courses address multiculturalism in terms of evaluation and teaching strategies not in content and objectives.