bluuebunny/crossref_metadata_2025_split huggingface dataset:
ALCOHOL USE IN A GROUP OF ADOLESCENTS AS SOCIALLY DEFINED DEVIANT BEHAVIOR
Authors: Saukuma Ieva 
Published: May 2024

Alcohol consumption among adolescents in social theories is considered a formally defined deviant behavior. There is no doubt about the negative health consequences of this behavior, however, several researchers point to its role in the process of growing up and socialization. Along with the development of theories of deviant behavior, the question – whether alcohol consumption among adolescents is still identified as deviant behavior, becomes relevant. To assess the aspect of alcohol consumption as a socially determined deviance, the results of a longitudinal cohort study among Latvian schoolchildren were analyzed. The analysis of the research data includes such indicators as the characteristics of the situation and age of the adolescent when they try to alcohol first and the attitude of parents towards adolescents alcohol use. The research data were compared in four stages from the start of 7th grade (T1) till the end of 9th grade (T4). The results indicate that adolescents are well informed about the legal ban on alcohol consumption (at the beginning of the study in the T1 period, 89.3% were aware of the ban on the use of alcohol by minors). Still, the contradictory behavior of the parents, allowing adolescents to consume alcohol (in the T4 period, 65.9% of students who have consumed alcohol, their parents have permitted to do so) creates an ambiguous perception of alcohol consumption as a deviant behavior among adolescents. In general, this contradiction can reduce the effectiveness of normative and communicative tools in the prevention of alcohol initiation among adolescents. The results of the study confirm - that to delay the initiation of alcohol consumption among adolescents - it is necessary to define alcohol consumption among adolescents as deviant behavior in society as a whole.
Observations on the Edapho-Microbial Nature of Indian Botanic Garden, Howrah
Authors: Singh Jagdish Narain , Ghosh Madhab Krishna , Sen Ratna 
Published: May 2024

The edapmo-microbial nature of Indian Botanic Garden was assessed. The activities of Azotobacter were used as an indicator to determine the suitability of edaphic conditions for plant introduction. It was observed that the Hooghly River (Ganga) front had comparatively higher clay content and organic carbon. TheÂ water holding capacity, cation exchange ability, pH, porosity and available nutrients such as nitrogen and phosphorus and azotobacter activities of the river site were comparatively superior to the other sites. The middle stretch of the garden area was observed to be more saline than other two stretches. The area towards humaq, settlements was exposed to severe anthropogenic interference. Consequently, the microbial population was diminutive here with relatively inferior edaphic characteristics.
Stock Option Pricing Using Binomial Trees with Implied Volatility
Authors: Alfajriyah Aimmatul Ummah , Putri Endah R.M , Utomo Daryono Budi , Hakiki Moch. Taufik 
Published: May 2024

The Black-Scholes model provides an analytical solution in option pricing and has been widely used in finance. This model assumes constant volatility. Pricing option incorporating implied volatility is conducted using implied binomial tree. This study aims to simulate the prices of put options and call options using implied binomial trees, binomial trees and the Black-Scholes model and determine the factors that influence option prices. The simulation was conducted using Matlab. The option price resulted from implied binomial tree and binomial tree are compared with the option prices of the Black-Scholes model to determine the difference of option prices with constant volatility and option prices incorporating implied volatility. The implied binomial tree method provides better option prices than the binomial tree based on small relative error value to the Black-Scholes model. This is caused by the transition probability value of stock price movements in the implied binomial tree at each point is different, whereas in the binomial tree the value of transition probability is same. Furthermore, increasing the time step causes the option prices obtained from the implied binomial tree converge to the Black-Scholes. It is concluded that these three methods can be used in option pricing. Factors that influence the option price are stock price, strike price, interest rate and maturity date, are also obtained
Tinjauan Literatur Penerapan Akuntansi Pesantren Pada Pesantren Di Indonesia
Authors: Febriyanti Safira , Mardian Sepky 
Published: May 2024

<p class="bdabstract">This study aims to look at productivity and distribution, the most prolific authors, methodologies that are often used, trends in research topics, constraints in applying Islamic boarding school accounting standards and future research directions published on Google Scholar in 2013-2022. The type of data used is secondary data in the form of research on the application of Islamic boarding schools accounting. The method used is descriptive quantitative with bibliometric analysis and Systematic Literature Review (SLR). The results of the research show that 2021 is the most productive year, scientific articles and theses are the most types of publications with the same level of productivity, and the most productive publisher and affiliation is UIN Maulana Malik Ibrahim. Lestari, Tri Utami became the most productive writer by publishing 2 scientific articles publications. The methodology that is often used is the qualitative method. Meanwhile, the research topic that has been researched the most is regarding the observation of financial reports based on Islamic boarding school accounting guidelines which state that the majority of Islamic boarding schools have not implemented Islamic boarding school accounting presentation standards. The obstacle faced is the lack of understanding and training.</p><p><em> </em></p>
Revolutionizing Finance: A Comprehensive Analysis of Digital Banking Adoption and Impact
Authors: Chinnasamy Gopalakrishnan , S Vinoth , Jain Anshika 
Published: May 2024

Abstract

The study looks into the disparities in rural customers' digital banking usage. The purpose is to examine rural consumers' adoption of digital banking services and their intention to continue using the same. The research appraised the foundational theoretical concepts and model employed in this study by integrating well-established and validated multidimensional scales derived from previous scholarly investigations. To examine, a survey approach was adopted, involving a sample of 360 bank customers. Structural equation modeling (SEM) was conducted utilizing AMOS 28.0. The resulting theoretical framework comprises four distinct constructs, namely perceived usefulness (PU), perceived ease of use (PEOU), intention to use (IU), user satisfaction (US), and user trust (UT). The outcome of the study state the development of a secure digital banking infrastructure. Additionally, the research introduces the trust based technology acceptance model, that offers a distinct perspective on digital banking acceptance compared to previous studies. The study's outcomes will enhance understanding of India's digital banking landscape for stakeholders such as government, scholars, and industry professionals. The findings will further guide strategic efforts to promote widespread adoption and use of digital banking services in the nation. Notably, the scarcity of research on obstacles to rural sectors’ digital banking implementation remains unsolved.
JEL Codes: M1, M15
Can a Deep-Learning Markerless Motion-Capture System Outperform the Gold Standard Marker-Based System? Concurrent Validity, Test-Reliability, and Usability
Authors: Bae Kyungun , Lee Seyun , Kim Hyosang , Ha Yuncheol , Bak Se-Young , Yoo Seunghyun 
Published: May 2024

Abstract

Marker-based optical motion capture systems have been used as a cardinal vehicle to probe and understand the underpinning mechanism of human posture and movement, but it is time-consuming (a few hours) for complex and delicate data acquisition and analysis, labor-intensive with highly trained operators. To mitigate such inherent issues, we developed an accurate and usable (5-minute data collection and processing) deep-learning-based 3-Dimensional markerless motion capture system called “Ergo,” designed for use in ecological digital healthcare environments. We investigated the concurrent validity and the test–retest reliability of the Ergo system measurement’s whole body joint kinematics (time series joint angles and peak joint angles) data by comparing it with a standard marker-based motion capture system recorded during an overhead squat movement. Our deep learning system analyzed 939,600 image data obtained from 71 healthy adults and successfully achieved optimal data processing (accurate, faster, and simpler). The Ergo system demonstrated excellent agreement for time series joint angles (r2= 0.88-0.99) and for peak joint angles (ICC2,1 = 0.75-1.0) when compared with the gold standard marker-based motion capture system. Additionally, we observed high test-retest reliability (ICC1,1 = 0.92-0.99). In conclusion, the deep learning-based markerless Ergo motion capture system considerably outperformed the Gold Standard marker-based motion capture system measurements in the concurrent accuracy, reliability, and usability (faster and simpler data collection and processing), thereby making it a highly accessible choice for diverse universal users and ecological industries or environments.
The selection and application of tiller number QTLs in modern wheat breeding
Authors: Lai Xiangjun , Zhu Zhiwei , Zhang Yuanfei , Lu Tian , Qin Jinxia , Xu Shengbao 
Published: May 2024

Abstract

Tiller number is a critical factor influencing wheat plant structure and yield potential, yet the genetic underpinnings and implications for tiller breeding selection remain elusive. This study extensively investigates tiller number across 323 wheat accessions within nine diverse environments, unveiling a significant reduction in modern wheat cultivars compared to landraces, demonstrating a prevalent preference for lower tiller numbers in modern breeding. Through genome-wide association study (GWAS), four pivotal quantitative trait loci (QTLs) associated with tiller number were identified, with three extensively selected and preferentially integrated into diverse Chinese agroecological zones. Notably, haplotype analysis revealed that lower tiller haplotypes also have significant genetic effects in enhancing grain number and/or weight. These findings suggest a co-selection of lower tiller numbers and higher spike yield was adopted in modern high-yield breeding programs in China. Additionally, the proposed combinations of these haplotypes aim to optimize tiller numbers for wheat breeding. This study provides novel insights into the genetic basis and selection of tiller number QTLs for modern wheat breeding.
Problematic Anger among Military Personnel after Combat Deployment: Prevalence and Risk Factors
Authors: Nordstrand Andreas Espetvedt , Anyan Frederick , Bøe Hans Jacob , Hjemdal Odin , Noll Laura Katherine , Reichelt Jon Gerhard , Forbes David , Adler Amy 
Published: May 2024

Abstract

Background: Problematic anger, characterized by excessive frequency, intensity, and duration of anger which cause substantial emotional distress and functional interference, poses a marked challenge in military populations. Despite its importance, research on this topic is limited. This study contributes to the literature by exploring problematic anger in a large sample of Norwegian military personnel who served in NATO missions in Afghanistan.
Methods: All Norwegian military personnel who deployed to Afghanistan between 2001 and 2020 were sent a link to a cross-sectional web-based survey by the Joint Medical Services of the Norwegian Armed Forces in 2020. A total of 6205 individuals (response rate: 67.7%) participated. The cross-sectional survey assessed problematic anger, mental and physical health, war zone stressor exposure, and quality of life.
Results: Overall, 8.4% of participants reported problematic anger. Mental health disorders, deployment-related shame and guilt, chronic pain, and challenges with the military-to-civilian transition were independently associated with problematic anger. Both staying in service and maintaining a part-time connection with the military as a reservist mitigated the risk of problematic anger after deployment, compared to complete separation from military service.
Conclusion: Findings demonstrate a sizeable prevalence of problematic anger among veterans of combat deployments. Given the associations between problematic anger and mental health disorders, chronic pain, and transition challenges, interventions designed to mitigate problematic anger need to be multi-faceted, including the possibility of maintaining an ongoing connection to military service. By reducing the risk of problematic anger, occupational, interpersonal and health outcomes may be improved for service members. Future research should examine the impact of problematic anger on adjustment over time, prevention strategies, and problematic anger in other high-risk occupations.
The hyperbolic CS decomposition of tensors based on the C-product
Authors: Jin Hongwei 
Published: May 2024

Abstract

This paper studies the issues about the hyperbolic CS decomposition of tensors under the C-product. The aim of this paper is fourfold. Firstly, we establish the CS decomposition of the complex unitary tensor, including the thin version and the standard version. The corresponding numerical algorithm is also given. Next, we define three kinds of tensors, i.e., the strong unitary tensor, the mode-1 strong unitary tensor and the mode-2 strong unitary tensor, which the CS decompositions of the mode-1 strong unitary tensor and the mode-2 strong unitary tensor are constructed. Numerical algorithms are also obtained to compute the two types of the CS decompositions. Moreover, we give the definition of another three classes of tensors, called the J-orthogonal tensor, the mode-1 strong J-orthogonal tensor and the mode-2 strong J-orthogonal tensor. The corresponding hyperbolic CS decom-positions and numerical algorithms are also established. Finally, we give an application to the computation of the C-eigenvalues of the orthogonal tensor. Numerical examples are given to test our results.
AMS classification: 15A18, 15A23, 15A69.
Assessment of acid rock drainage potential of waste rocks at the Sariguney epithermal gold deposit, Gorveh, Western Iran: implications for static and kinetic tests
Authors: Siahcheshm Kamal , Aghdam Fateme Khatib , Kadkhodaee Ali , Nadiri Ata allah , Orberger Beate , Wagner Christiane 
Published: May 2024

Abstract

The significant presence of sulfide mineralization within the Sariguney gold deposit raises environmental concerns due to the exposure of waste rock and tailings to atmospheric conditions during mining and ore processing. This exposure leads to a process that poses a threat to local ecosystems and water quality. This study evaluates the potential for Acid Rock Drainage (ARD) from Sariguney's sulfidic rocks using established ARD prediction techniques. These include static methods such as Standard Acid Base Accounting (ABA) and kinetic methods such as Acid Buffering Characteristic Curves (ABCC) and Kinetic Net Acid Generation (NAG) through the monitoring of pH and temperature profiles.
To achieve this, 185 drill core intervals from ore, low-grade (LG), and waste samples were subjected to geochemical and mineralogical analyses. Based on their Net Acid Production Potential (NAPP) and NAG pH values, 31% of waste samples were classified as high acid rock (High-PAF), 13% as acid rock (PAF), and 56% as neutral rock (NAF). The Ore, LG and waste samples have average sulfur values of 2.6, 1.3 and 0.9 (wt.%) and NAPP values of 77, 32 and 18, respectively. The results indicate that ore-grade material has a significant sulfur content, little if any ANC, and a high acid generating potential. Approximately two-thirds of the LG ore samples were classified as High-PAF with low ANC availability would have a relatively short lag prior to acidification. Most of the NAF samples in waste rocks contained < 0.5 %S. (typically ANC <15 kg H2SO4/t) but expected that the higher ANC materials would provide some ARD control if blended with acid generating rock within waste dumps. Overall, approximately more than two-thirds of the samples tested had ANCs<10 kg H2SO4/t, which means most rock will have the capacity to neutralize the acid potential of less than 0.3 %S as pyrite and if blended with acid generating waste, will provide little additional neutralizing capacity and will simply dilute the acid waste.
Precision Targeting Strategies in Cancer Therapy: Focusing on Synthetic Lethality with FAK Inhibition
Authors: Siyah Pinar 
Published: May 2024

Abstract

Synthetic lethality, involving the simultaneous deactivation of two genes, plays a critical role in disrupting vital cellular functions or prompting cell death. This study delves into the impact of synthetic lethality within cancer research, specifically examining the interplay between the Focal Adhesion Kinase (FAK) and Neurofibromin 2 (NF2) genes. While deactivating FAK or NF2 individually has minimal impact, their combined deactivation highlights the vital significance of their synthetic lethal interaction. Hence, the principal aim of this study is to direct our efforts towards the inhibition of the FAK gene, a venture of notable significance. The NF2 gene is responsible for producing Merlin, a tumor suppressor protein that is often deactivated in schwannoma, meningioma, and malignant mesothelioma. The inhibition of the FAK gene is pivotal, given its pivotal role in the synthetic lethal interplay with NF2/Merlin, promising substantial prospects for the progression of cancer treatment strategies. This investigation has the capacity to propel forward inventive therapeutic methodologies, harnessing the potential of synthetic lethal interactions within cancer cells, and forging a path towards more refined and efficacious interventions in cancer treatment. The ongoing advancements in developing new FAK inhibitors highlight the significance of this strategy in cancer treatment. Despite extensive research efforts, no FAK inhibitor has been approved for clinical use. This emphasizes the urgent need to create new FAK inhibitors with improved anti-tumor properties. The small molecule FAK inhibitor candidates identified in our study show potential for making a groundbreaking contribution in this field. Employing docking and (1ns, 10ns and 100ns) molecular dynamics (MD) simulations, we evaluated FAK inhibitor complex stability, unveiling intricate interactions. Following of molecular dynamics simulations, the MM/GBSA scores for Amprenavir, Bosutinib, Ferric derisomaltose, Flavin adenine dinucleotide, Lactulose and Tafluprost were determined to be -72,81, -71,84, -76.70, -69.09, -74.86, -65.77 kcal/mol, respectively. These molecules have been evaluated as potential candidate drugs based on these scores. This study lays a foundation for novel therapeutics, holding promise for diverse cancer treatments through our computational framework.
Evaluation of Vertical Marginal Discrepancy and Load-to-Failure of Monolithic Zirconia and Lithium Disilicate Laminate Veneers Manufactured in Different Thicknesses
Authors: YILDIZ Pınar , Ünlü Damla Güneş , Aydoğdu Hasan Murat 
Published: May 2024

Abstract

Objectives
This study aimed to evaluate the feasibility of monolithic zirconia laminate veneers (MZLV) compared to lithium disilicate laminate veneers (LDLV).
Materials and Methods
Sixty resin replicas, each prepared with depths of 0.5 mm, 0.7 mm, and 1 mm, were produced using a 3D printer from acrylic teeth. Laminate veneers of these thicknesses were milled from pre-sintered monolithic zirconia and lithium disilicate blocks. The intaglio surface of MZLV was treated with air abrasion using 110 µm diameter silica-modified aluminum oxide particles and ceramic primer, while LDLV was etched and treated with the same agent before cementation with composite resin. Vertical marginal discrepancy (VMD) was assessed using a stereomicroscope, and a load-to-failure test was conducted using a universal testing machine. Failure modes were evaluated macroscopically on fractured surfaces. Data were analyzed statistically using Two-way ANOVA and Bonferroni correction (α = 0.05).
Results
LDLV samples exhibited significantly larger VMD compared to MZLV samples across all thicknesses, especially in cervical, palatal, and mean data. Within the LDLV group, load-to-fracture values for 0.7 mm and 1.0 mm thicknesses were similar, whereas for 0.5 mm thickness, it was significantly lower. In the MZLV group, load-to-fracture values were lower for 0.7 mm and 1.0 mm thicknesses compared to LDLV, but higher for 0.5 mm thickness.
Conclusions
Material choice and restoration thickness significantly influence laminate veneer restorations' success. MZLV generally exhibits superior vertical marginal fit compared to LDLV, with varying load-to-failure values across different thicknesses. Clinical management of debonding in MZLV is simpler compared to restoration fracture in LDLV.
Clinical relevance:
Considering clinical factors, MZLV may be a preferable option to LDLV for this restoration with the thickness of 0.5 mm
DGSTD: Learning on Dynamic Graph with Spatio-Temporal Disentanglement
Authors: You Peng , Zhao Xiaohu 
Published: May 2024

Abstract

Dynamic graphs serve as abstractions of real-world dynamic networks. They represent a concrete and profound restoration of many scenarios in the real-world. For instance, various types of terminal intelligent agents in social networks, recommendation systems, and biological networks facilitate collaborative work within specific group topologies. Despite recent advancements in research on representation learning for dynamic graphs, the factorized representation of features across different dimensions and potential causality have not been adequately considered or explicitly modeled to capture dynamic patterns. The existing literature predominantly relies on manual extraction of temporal and spatial features, which fails to adequately capture the underlying causal relationships. In this study, we propose a novel Dynamic Graph with Spatio-Temporal Disentanglement (DGSTD) that effectively disentangles the spatio-temporal features of the dynamic network within our model. The proposed method sample and sparsely encode the node attribute features under time constraints to find out meaningful structures and patterns for representing graph features, effectively capturing potential spatio-temporal factorized representation. We further used a combination of loss functions to optimize the model. Our approach exhibits distinct advantages in both transductive and inductive settings across four authentic datasets.