bluuebunny/crossref_metadata_2025 huggingface dataset:
Taxonomic Implication of Conducting Elements in the Acrocarpous Mosses
Authors: Sinha S. , Govindapyari H. , Suman S. , Uniyal P. L.
Published: May 2024

Present study deals with the structure and development of conducting elements in the nine orders of acrocarpous mosses. The significance of conducting tissues in mosses in relation to their habitat conditions, growth forms and leaf cell patterns has been discussed. Features of cells in different portions of the stem and the laminal cell patterns and costa are taken into consideration. Although water-conducting cells are unspecialized in mosses, yet the study shows that they seem to play a vital role in the conduction and provide additional criteria for the distinction of taxa. Four categories have been determined as (i) Acrocarpous mosses with a distinct thick-walled conducting strand (6-7 layered) as hydrome which is surrounded by patches of leptoids. Cortex consists of thick walled cells (6-10 layered). Costa has stereidal cells and well developed conducting elements in leaf, example Polytrichum (ii) Acrocarps with thick-walled, narrow, elongated conducting strand (4-5 layered), cells angular in the cortex (6-8 layered). Leaf cells are rectangular, irregular and porous with incrassate walls, example Dicranum (iii) Acrocarps with conducting tissue (2-5 layered) stereidal, thick walled or thin walled varying in the course of development. Leaf cells are mutipapillate, rounded-quadrate, costa is present, examples Hyophila, Philonotis and (iv) Epiphytic pleurocarps with conducting cells rudimentary, thickened, scattered (2-4 layers) and parenchymatous, cortical cells (2-3 layered) thick walled. Leaf cells are small, rounded or linear and papillate, costa may be present or absent, example Leucodon. The study would constitute a formidable task, especially if intraspecific structural variability is considered. It serves a model system in the eco-physiological aspects.
Phallus calongei G. Moreno & Khalid - A New Record for India
Authors: Das K. , Mishra D.
Published: May 2024

No Abstract.
Recollection of Armodorum senapatianum Phukan & A. A. Mao (Orchidaceae)
Authors: Phukan S. J.
Published: May 2024

No Abstract.
Contribution to Litsea Lam. (Lauraceae) in Northeast India
Authors: Bhuinya T. , Singh P.
Published: May 2024

No Abstract.
Letter to the Editor
Authors: Jain S. K.
Published: May 2024

No Abstract.
Algal Diversity on and around Lodoicea maldivica (J. E. Gmel.) Pres. (Double Coconut) in AJC Bose Indian Botanic Garden, Howrah
Authors: Gupta Pratibha
Published: May 2024

38 algal taxa belonging to 6 Classes viz. Cyanophyceae (15), Xanthophyceae (2), Chrysophyceae (2), Bacillariophyceae (10), Euglenophyceae (2) and Chlorophyceae (7) were recorded between July October, 2010 from Lodoicea maldivica (J. E. Gmel.) Pres. (Double Coconut) and its surrounding area in the Acharya Jagadish Chandra Bose Indian Botanic Garden (AJCBIBG), Howrah. This is the first report on algae on and around this interesting palm.
Contribution to the Bamboos of Eastern India
Authors: Kumari Pushpa , Singh P.
Published: May 2024

Morphological description is completed for Bambusa jaintiana and B. pseudopallida. Floral morphology is provided for Yushania hirsuta for the first time and notes on few important characters of climbing bamboo Melocalamus indicus are given.
A Preliminary Survey of Hepaticae of Little Andaman Island
Authors: Singh Devendra , Dey Monalisa , Upadhyay Gautam Kumar
Published: May 2024

The Little Andaman Island lies a little towards the south of the Great Andaman group (North, Middle and South Andaman) from which it is separated by the Duncan Passage and covers an area of 739 sq. km. It is separated from the Nicobars by the 10Â° (Ten Degree) Channel. The climate is warm and humid tropical with the temperature ranging between 20Â°-32Â° C. The island receives rainfall twice a year, between May-September from the Southwest monsoon and October-December from the Northeast monsoon, resulting in an average annual rainfall of 3000-3500 mm. The mean relative humidity is between 82-85% throughout the year (Banerjee & Guha Roy, 2002).During a recent collection of liverworts from Little Andaman Island, an area which has not so far been investigated for its bryoflora, 12 species were collected belonging to family Lejeuneaceae (11 species) and Marchantiaceae (01) species. This includes Cololejeunea gottschei (Steph.) Mizut., Lejeunea anisophylla Mont, and Marchantia linearis Lehm. & Lindenb. As new records for the bryoflora of Andaman & Nicobar Islands.All the specimens cited in the text have been deposited in the Cryptogamic section of the Central National Herbarium, Botanical Survey of India, Howrah (CAL).
A New Species of Codonopsis Wall. (Campanulaceae) from Arunachal Pradesh, India
Authors: Dash S. S. , Mao A. A.
Published: May 2024

Codonopsis vadsea is described and illustrated from Vadse hills of Kurung Kumey district of Arunachal Pradesh, India.
On an Endangered Liverwort (Marchantiophyta) from India: Proposal for Red Listing
Authors: Srivastava S. C. , Rawat K. K.
Published: May 2024

No Abstract.
Monograph on Indian Halophytes
Authors: Lakshminarasimhan P. , Seal Tapan
Published: May 2024

No Abstract.
Utilization of Pith Plant Aeschynomene aspera (Leguminosae:Papilionoideae) by Traditional Florists Cum Craftsmen in Jaj pur District, Odisha, India
Authors: Mohanty R. B. , Tripathy B. K. , Panda T.
Published: May 2024

Pith plant (Aeschynomene aspera L., Leguminosae:Papilionoideae) is found abundantly in the wetlands of Jajpur district, Odisha. The traditional florists and many craftsmen attached to various temples make good use of this plant for decoration purposes. The soft stem of the plant are used in many religious and socio-cultural functions in the district and has been instrumental in providing livelihood to this section of people. But with rapidly shrinking water bodies and loss of its natural habitat, the availability of this species is getting scarce. The fate of this traditional craft and of the craftsmen in the changing scenario is analysed.
Tylopilus pseudoscaber - An Addition to Indian Mycoflora
Authors: Das Kanad , Sharma J. R. , Mishra Deepa
Published: May 2024

No Abstract.
Palms of Karnataka
Authors: Lakshminarasimhan P. , Arisdason W.
Published: May 2024

No Abstract.
New Taxa and New Combinations: (Published in this Volume)
Authors: . .
Published: May 2024

No Abstract.
Comparative Anatomy of the Aerial Roots of Blue and Red Vandas and its Diagnostic Significance
Authors: Selvam A. B. D.
Published: May 2024

The two highly endangered orchid species, Vanda coerulea Griff, ex Lindl. (Blue Vanda) and Renanthera imschootiana Rolfe (Red Vanda), could be easily identified when those are in flowering states. However, it is difficult to identify them in their vegetative conditions since both of the species resemble one another in apparent morphology. In the present study, efforts have been made to identify them in their vegetative conditions by the anatomical structures of aerial roots studied under SEM (Scanning Electron Microscope) as well as Light Microscope. The presence of medullary bundles in Red Vanda seems to be a unique diagnostic feature, which could be used to identify the said plant species in its vegetative condition.
A Note on Eragrostis rottleri (Poaceae) and its Lectotypification
Authors: Vivek C. P. , Murthy G. V. S. , Nair V. J.
Published: May 2024

No abstract.
Onosma limitaneum (Boraginaceae): A New Record for India from Jammu & Kashmir
Authors: Ambrish Kumar , Srivastava S. K.
Published: May 2024

No abstract.
New Taxa and New Combinations
Authors: . .
Published: May 2024

No abstract.
A predictive nomogram-based model for lower extremity compartment syndrome after trauma in the United States: a retrospective case-control study
Authors: Callahan Blake , Ang Darwin , Liu Huazhi
Published: May 2024

Purpose: The aim of this study was to utilize the American College of Surgeons Trauma Quality Improvement Program (TQIP) database to identify risk factors associated with developing acute compartment syndrome (ACS) following lower extremity fractures. Specifically, a nomogram of variables was constructed in order to propose a risk calculator for ACS following lower extremity trauma.Methods: A large retrospective case-control study was conducted using the TQIP database to identify risk factors associated with developing ACS following lower extremity fractures. Multivariable regression was used to identify significant risk factors and subsequently, these variables were implemented in a nomogram to develop a predictive model for developing ACS.Results: Novel risk factors identified include venous thromboembolism prophylaxis type particularly unfractionated heparin (odds ratio [OR], 2.67; 95% confidence interval [CI], 2.33–3.05; P<0.001), blood product transfusions (blood per unit: OR 1.13 [95% CI, 1.09–1.18], P<0.001; platelets per unit: OR 1.16 [95% CI, 1.09–1.24], P<0.001; cryoprecipitate per unit: OR 1.13 [95% CI, 1.04–1.22], P=0.003).Conclusions: This study provides evidence to believe that heparin use and blood product transfusions may be additional risk factors to evaluate when considering methods of risk stratification of lower extremity ACS. We propose a risk calculator using previously elucidated risk factors, as well as the risk factors demonstrated in this study. Our nomogram-based risk calculator is a tool that will aid in screening for high-risk patients for ACS and help in clinical decision-making.
Water Security Policy of Kazakhstan
Authors: Orynbayev Z. , Muminov N.
Published: May 2024

Ensuring water security holds a crucial position in the strategic planning of nations worldwide. The guaranteed access to water resources and their rational utilization are deemed priorities in the development of strategies within this domain. In the specific context of Kazakhstan, effective water resource management stands out as a key factor in shaping a robust model of national security on a global scale. This research aims to identify the characteristics and features of Kazakhstan’s water security policy by analyzing elements and components at both the national and regional levels. To achieve this, a systemic analysis method was employed to assess the water security situation and identify positions within regional and international organizations. The study delves into the key elements and structural components of Central Asia’s water security policy, shedding light on the peculiarities of national strategies adopted by individual countries in the region. The paper provides an overview of both negative and positive aspects of Kazakhstan’s activities in planning access to river resources, summarizing the main outcomes of such efforts. Additionally, the study analyzes the uniqueness and specificity involved in forming a security strategy to ensure rational access to river sources in Kazakhstan. The results of this research serve as a foundational basis for further scientific exploration. They can be utilized for the development and implementation of innovative tools and methods in security policy within the national strategies of water management.
Potential use of Floating Architecture for Flood Mitigation in Bulungan Regency
Authors: Sandhika Rendy Rian , Maghzaya Abdul Robbi
Published: May 2024

Flooding is a natural phenomenon in Bulungan that can affect the discomfort of people's living conditions. Floating house technology has the potential to be a flood mitigation strategy in Bulungan Regency, North Kalimantan. Through the study of Floating Architecture technology, including floating houses, raft houses with plastic drums and houses made of EPS (Expanded Polystyrene) material. This research explores the use of this technology in the context of flood mitigation in the Bulungan district. Analyzing various sources of information, this research identified 3 (three) potential technologies. This research is limited in being able to identify technologies that have the potential to be applied. Each of these technologies has similarities that have the potential to be applied as flood mitigation in Bulungan Regency, looking at aspects such as the Bulungan floating house concept, security and sustainability efforts.
Modeling Determinants of Composite Stock Price Index Based on Multivariable Nonparametric Penalized Spline Regression Model alized Spline
Authors: Octavia Dhita Hartanti , Auliarani Asma , Siswanto Siswanto , Kalondeng Anisa
Published: May 2024

The Composite Stock Price Index (IHSG) is a critical indicator in the Indonesian capital market, playing a central role as one of the key instruments influencing the dynamics of a country's economy. Modeling IHSG can provide a substantial contribution to stakeholders in the capital market, facilitating investment decision-making. Therefore, it is essential to obtain accurate and responsive estimates for IHSG data. The IHSG data used covers the period from January 2020 to December 2022 and tends to be fluctuating. Hence, a spline regression analysis with effective penalized spline estimation is applied to overcome the limitations of assumptions in the relationship between variables. The variables used in the modeling include inflation, exchange rates, interest rates, and IDJ. From the analysis results, optimal values based on the minimum GCV for each variable are sequentially 0.278, 0.904, 0.751, and 0.665. It is also known that these four variables collectively have a 92.1% influence, with inflation having varied impacts, exchange rates exhibiting a stronger negative effect at certain levels, interest rates showing opposite effects depending on their levels, and IDJ having a positive effect on IHSG movements. The significant variability of these impacts indicates that these variables make important contributions. In other words, IHSG fluctuations can be explained by variations in the values of inflation, exchange rates, interest rates, and IDJ.
Application of Game Theory in Determining the Optimal Winning Strategy for Presidential and Vice Presidential Candidates in the 2024 Election
Authors: Fauzul M , Siboro Ayes Malona , Chairunnisa Putri Kurnia , Wardhana I Gede Adhitya Wisnu , Febrilia Baiq Rika Ayu
Published: May 2024

Game theory is applied in the context of the 2024 general election to determine effective strategies for each pair of candidates (paslon) presidential and vice presidential in the competition. This research yields several significant findings. In the match between paslon 1 and paslon 2, paslon 2 successfully secured victory with a score of -18, employing an optimal strategy focused on (candidate experience). Conversely, paslon 1 emerged victorious against paslon 3 with a score of 20, utilizing an optimal strategy based on (candidate vision and mission). In the final match between paslon 2 and paslon 3, paslon 2 once again achieved victory with a score of 36.88889. The optimal strategy for paslon 2 includes (candidate character), (candidate vision and mission), and (candidate experience). Paslon 3 also adopts a similar strategy. The results of this research provide insights into the development of candidate campaign strategies in the political competition context using a game theory approach.
Utilizing K-Means Clustering for Constructing Black-Litterman Portfolio Models
Authors: Amanah Fitri , Roshafara Fauziah , Lestari Puri Indah , Salsabila Salwa , Maharani Renita
Published: May 2024

A portfolio in finance is a collection of investment assets that aims to reduce risk by spreading investment across various assets. In building a portfolio, cluster analysis is used to select assets. K-Means cluster is often used because it is considered efficient for handling large data. In addition, the Black-Litterman Model is used because it can combine investor knowledge into asset allocation efficiently, so that the portfolio becomes more diverse, stable and adaptive to economic conditions, and reflects the investment manager's views. The research results show that k-means cluster analysis can be applied in forming the Black-Litterman model portfolio. Two clusters were obtained, namely cluster I consisting of ADRO, AKRA, BRMS, MIKA, TLKM, UNVR shares, and cluster II consisting of INDF, INKP, SMGR, UNTR. The two clusters were then formed into portfolios I and II. The calculation of expected return and portfolio risk shows that portfolio II produces profits (expected return portfolio) that are greater than portfolio I, namely 0.04445 or IDR 4.445.344,00, and the risk level of portfolio II is also smaller than portfolio I, namely 0.02104 or IDR 2.104.400,00
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

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.

 
Reaching Vulnerable and Underserved Communities in the US Southwest Through a Successful COVID-19 Community-Academic Partnership
Authors: Marsiglia Flavio F. , Oh Hyunsung , León Tomás , Gonzalez Edny
Published: May 2024

This article describes a community–academic partnership designed and implemented to address disparities in accessing COVID-19 testing in Arizona, from November 2020 through March 2023. An equitable community-academic partnership, the involvement of local leaders, and the engagement of community health workers were critical for the success of the intervention. More than 5000 previously underserved patients were tested and received COVID-19 related services. A profile comparison with a matched group documents the success of the program in reaching the targeted population. ( Am J Public Health. 2024;114(S5):S388–S391. https://doi.org/10.2105/AJPH.2024.307684 )
Community Partner Perceptions of Equitable Implementation Practices for a Promotores de Salud Intervention: A Qualitative Assessment
Authors: Mauricio Anne Marie , Garcia Yahaira , Merelas Sophia , Cioffi Camille C. , McWhirter Ellen Hawley , Budd Elizabeth L. , Mueller Maryanne V. , De Anda Stephanie , Rodriguez Elaine , Leve Leslie D.
Published: May 2024

We conducted focus groups with staff from 5 community-based organizations (21 participants; 86% female, 52% Hispanic/Latino/a/x and 24% Mexican/Mexican American) between August and October 2021. Results highlighted community partner perceptions of practices congruent (e.g., communication that built trust and dismantled power dynamics, a shared mission) and incongruent (e.g., intervention–community misalignment, research driven decision-making) with equitable implementation in the development, implementation, and evaluation of a promotores de salud intervention to increase COVID-19 testing and preventive behaviors among Latinx communities in Oregon. ( Am J Public Health. 2024;114(S5):S377–S383. https://doi.org/10.2105/AJPH.2024.307686 )
Actualización de la misión del Instituto Nacional de Salud Pública de México
Authors: Lazcano Ponce Eduardo C
Published: May 2024

El Instituto Nacional de Salud Pública (INSP) se encuentra, desde el año 2022, en un proceso denominado “Renovación institucional para el fortalecimiento del Sistema Nacional de Salud y el bienestar social”. Esta propuesta de transformación institucional interna fue desarrollada con base en un análisis crítico previo del desempeño en investigación, docencia, vinculación y procesos administrativos del INSP. Los resultados del análisis revelaron que la necesidad de una renovación estructural era factible y deseable.
In memoriam. Cuauhtémoc Ruiz Matus (1975-2024)
Authors: Gómez-Dantés Héctor
Published: May 2024

No disponible
Revolutionizing Finance: A Comprehensive Analysis of Digital Banking Adoption and Impact
Authors: Chinnasamy Gopalakrishnan , S Vinoth , Jain Anshika
Published: May 2024

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

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

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

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

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

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

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

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

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.
Plaque Recognition and Classification Algorithm for CCTA Image Sequences with Frame-Gradient of Gaussian Variance
Authors: Chen Datong , Xu Dongbin , Liang Minghui , Lin Yueming , Huang Chengcheng , Wu Shuang
Published: May 2024

Coronary computed tomography angiography (CCTA) is the most commonly used image acquisition method for the diagnosis of cardiovascular disease (CVD) currently. While plaque recognition and classification based on CCTA image sequences are the most common diagnostic methods in clinical practice. This paper proposes a plaque detection and recognition algorithm based on CCTA image sequences, which using frame-gradient of Gaussian variance with MIMICS and MATLAB software. This algorithm is different from the traditional algorithms based on single frame image processing and recognition. It innovatively uses the variance gradient between multiple frames as a plaque detection method, and smooth the variance gradient noise with one-dimensional Gaussian filter. For further classifying plaques, we perform threshold detection with multi- feature value including maximum and minimum, and optimize the threshold for detection, after that we remove noise by continuous point filter(CPF). Finally, the detection formula is optimized, and the result of multi vessel detection is displayed with amplitude overlay chart(AOC). By verifying 80 CCTA image sequences, the experimental results show that the total accuracy rate up to 83.75%, which indicate the high application value.
BAX and DDB2 as biomarkers for acute radiation exposure with in the first week after irradiation in ex-vivo human and nonhuman primate model
Authors: KANAGARAJ KARTHIK , Phillipi Michelle , OBER ELIZABETH , SHURYAK IGOR , KLEIMAN NORMAN , OLSON JOHN , SCHAAF GEORGE , CLINE J.MARK , TURNER HELEN
Published: May 2024

There are currently no available FDA-cleared biodosimetry tools for rapid and accurate assessment of radiation absorbed dose following a radiation/nuclear incident. The objective of this work is to support analytical testing of our ELISA-based bioassay system for biodosimetry. The prediction accuracy of the bioassay for exposure classification and dose reconstruction was determined by combining BAX and DDB2 protein expression levels and cell counts/viability in adult human and non-human primate (NHP; Rhesus macaques) leukocytes, irradiated ex vivo with 0 to 5 Gy X rays using machine learning methods. The bioassay showed a 97.92% and 96.15% accuracy in classifying the human and NHP in-vitro samples up to 48 h after exposure, respectively and an adequate correlation between reconstructed and actual dose in the human samples (R2 = 0.79, RMSE = 0.80 Gy, and MAE = 0.63 Gy) and NHP (R2 = 0.80, RMSE = 0.78 Gy, and MAE = 0.61 Gy). Biomarker measurements in vivo from four NHPs exposed to a single 2.5 Gy total body dose showed a persistent upregulation in blood samples collected on days 2 and 5 after irradiation. The data here show that using a combined approach of targeted protein analysis can increase bioassay sensitivity and provide a more accurate dose prediction.
High Frequency Variability Index in predicting postoperative analgesia in patients undergoing video/robotic-assisted thoracoscopic surgery under a combination of general anesthesia and peripheral nerve block: a prospective, observational study
Authors: YOSHIDA Keisuke , Hasegawa Takayuki , Hakozaki Takahiro , Yakushiji Tatsumi , ISEKI Yuzo , ITAKURA Yuya , Obara Shinju , Inoue Satoki
Published: May 2024

Purpose: The High Frequency Variability Index (HFVI) is purported to assess the balance between nociception and analgesia in patients under general anesthesia. This prospective observational study investigated whether intraoperative HFVI correlates with postoperative pain in patients performed with nerve block under general anesthesia in video/robotic-assisted thoracoscopic surgery (VATS/RATS).
Methods: We investigated whether maximum postoperative pain at rest and postoperative morphine consumption are associated with HFVI just before extubation, mean HFVI during anesthesia, the difference in HFVI between before and 5 min after the start of surgery, and the difference in HFVI between before and 5 min after the nerve block.
Results: Data obtained from 48 patients were analyzed. We found no significant association between HFVI just before extubation and postoperative Numerical Rating Scale (NRS) score. Receiver operating characteristic curve analysis revealed that moderate (NRS > 3) or severe (NRS > 7) postoperative pain could not be predicted by HFVI just before extubation. In addition, there were no associations between postoperative morphine consumption and HFVI at any time points.
Conclusions: The present study demonstrated that it is difficult to predict the degree of postoperative pain in patients undergoing VATS/RATS under general anesthesia combined with peripheral nerve block, by using HFVI obtained at multiple time points during general anesthesia.
Effect of clove essential oil nanoemulsion on the properties of modified potato starch edible film and its effect as an edible coating on the shelf life of sponge cake
Authors: Pirsa Sajad , Mohtarami Forogh , Mokhtari Fatemeh , Sharifi Akram
Published: May 2024

In this study, clove essential oil (CEs) nanoemulsion was prepared and was used to modify the structure of the film based on modified potato starch (MPS). According to the results of the CEs nanoemulsion tests, the nanoemulsion had a homogeneous and uniform distribution. The encapsulation efficiency of CEs was 80%. Physicochemical properties (water vapor permeability (WVP), solubility and color) and structural properties (XRD and SEM) of edible films were studied. Investigations showed that increasing the percentage of nanoemulsion in the edible film decreased the WVP and increased the elasticity of the film. Edible film containing 3% CEs nanoemulsion was chosen as the optimal sample in terms of physical and mechanical properties. In the last step, edible film solution containing 3% of CEs nanoemulsion was used as sponge cake coating. The edible coating containing 3% CEs nanoemulsion kept the moisture of the sponge cake during storage, which reduced the hardness process and kept the freshness of the cake during storage. Also, this type of coating protected the spoilage of the cake against microorganisms. In the sensory evaluation test, the overall acceptance score of the sample coated with film containing nanoemulsion was acceptable and had no significant difference with the uncoated sample (p < 0.05).
Analyzing the Trend of Government Support for Cloud Computing Usage in E-Government Architecture
Authors: Younus Muhammad , Purnomo Eko Priyo , Mumtaz Fathiya , Khairunnisa Tiara
Published: May 2024

The revolution in improving services to the community carried out by the current government is genuine. It is not easy for government organizations, especially local governments, to directly implement e-government services in full. One solution that is considered appropriate and can solve these problems is the application of cloud computing to support e-government services in local governments. The advantage of cloud computing for e-government is that it can increase security. In contrast, cloud-based storage can be the best choice because data stored in cloud computing is guaranteed security and various regulations and standards of information security practices. We propose a systematic literature review approach to analyze trends in studies on cloud computing of e-government. This research is a type of descriptive qualitative research using a bibliometric approach. To assess the trend of cloud computing in e-government, we use CiteSpace's latest bibliometric software to achieve a comprehensive knowledge overview of cloud computing in e-government. The Findings of this paper reveal a dynamic scenario influenced by advancing technological progress and administrative priorities. Across the globe, governments are progressively acknowledging the capacity of cloud computing to improve the effectiveness, accessibility, and scalability of e-government services. Overall, challenges persist, spanning from concerns regarding data security and privacy, but it also signifies a strategic transition towards harnessing digital technologies to provide more agile, citizen-focused public services.