bluuebunny/crossref_metadata_2025_split huggingface dataset:
Profile of inpatients with psychotic disorders referred to the consultation–liaison psychiatry unit in a general hospital in South India
Authors: Mathew Kathleen Anne , Methala Sharon Paul , Jith Arya , Bansal Rahul 
Published: May 2024

Context:
Psychotic symptoms in patients with medical illnesses have been overlooked and have been understudied. It is important to understand the profile of such patients to facilitate early identification by the treating clinicians and to initiate appropriate referrals to consultation–liaison psychiatry (CLP).

Aims:
The aim of the study was to investigate the sociodemographic and clinical profile of inpatients with psychotic disorders referred to CLP services in a general hospital.

Settings and Design:
This was a retrospective record-based study conducted at the Department of Psychiatry in a Tertiary Care Hospital, Kochi, South India.

Materials and Methods:
The records of inpatients referred to psychiatry from April 2018 to April 2021 were obtained. Patients with psychotic disorders (organic and substance-induced psychotic disorders, schizophrenia, schizotypal, and delusional disorders) were included.

Statistical Analysis:
Descriptive statistics and independent samples t-test were employed for data analysis.

Results:
We obtained the records of 50 patients with a diagnosis of psychotic disorders from April 2018 to April 2021. The mean age of our sample was 50.86 ± 18.94 years, and the majority were females (54%). The most common reasons for referral were medication adjustment (44%) and agitation (28%). Organic delusional disorder was the most common diagnosis (28%). Only 54% of the subjects followed up in psychiatry as compared to 78% of subjects who followed up in medical departments after discharge.

Conclusions:
Psychotic disorders are frequently noted in patients admitted with medical illnesses in a general hospital setup. It is important for clinicians in nonpsychiatric divisions of a general hospital to be aware of the profile of such patients to ensure timely detection of symptoms and initiate appropriate referrals to the CLP team.
Minimal subfields of elliptic curves
Authors: Ghosh Samprit 
Published: May 2024

AbstractFor an elliptic curve E defined over a number field K and
$L/K$
a Galois extension, we study the possibilities of the Galois group Gal
$(L/K)$
, when the Mordell–Weil rank of
$E(L)$
increases from that of
$E(K)$
by a small amount (namely 1, 2, and 3). In relation with the vanishing of corresponding L-functions at
$s=1$
, we prove several elliptic analogues of classical theorems related to Artin’s holomorphy conjecture. We then apply these to study the analytic minimal subfield, first introduced by Akbary and Murty, for the case when order of vanishing is 2. We also investigate how the order of vanishing changes as rank increases by 1 and vice versa, generalizing a theorem of Kolyvagin.
Counting elements of the congruence subgroup
Authors: Bulinski Kamil , Shparlinski Igor E. 
Published: May 2024

AbstractWe obtain asymptotic formulas for the number of matrices in the congruence subgroup
$$\begin{align*}\Gamma_0(Q) = \left\{ A\in\operatorname{SL}_2({\mathbb Z}):~c \equiv 0 \quad\pmod Q\right\}, \end{align*}$$
which are of naive height at most X. Our result is uniform in a very broad range of values Q and X.
Outcomes of endoscopic submucosal dissection in cirrhotic patients: First American cohort
Authors: Pecha Robert Luke , Ayoub Fares , Patel Ankur , Muftah Abdullah , Wright Michael W , Khalaf Mai A , Othman Mohamed O 
Published: May 2024

BACKGROUND
Among patients with cirrhosis and pre-malignant or early malignant mucosal lesions, surgical intervention carries a much higher bleeding risk. When such lesions are discovered, endoscopic submucosal dissection (ESD) may offer curative therapy with lower risks than surgery and improved outcomes compared to traditional endoscopic resection.
AIM
To evaluate the outcomes of ESD in patients with cirrhosis.
METHODS
Patients with cirrhosis undergoing ESD between July 2015 and August 2022 were retrospectively matched in 1:2 fashion to controls based on lesion location, size, and anticoagulation use. Procedural outcomes were compared between groups.
RESULTS
A total of 64 Lesions from 59 patients were included (16 cirrhosis, 43 control). There were no differences in patient or lesion characteristics between groups. En bloc and curative resection was achieved in 84.21%, 78.94% of the cirrhosis group and 88.89%, 68.89% of controls, respectively, with no significant differences. Cirrhotic patients had significantly higher rates of intra-procedural coagulation grasper use for control of bleeding (47.37% vs 20%; P = 0.02). There were otherwise no significant differences in adverse event rates. In the 29 patients with follow up, we found higher rates of recurrence in the cirrhosis group compared to controls (40% vs 5.26%; P = 0.019), however this effect did not persist on multivariable analysis controlling for known confounders.
CONCLUSION
ESD may be safe and effective in patients with cirrhosis. Most procedure related outcomes were not significantly different between groups. Intra-procedural bleeding requiring use of the coagulation grasper use was expectedly higher in the cirrhosis group given the known effects of liver disease on hemostasis.
The Impact of Financial Markets on The Development of Investments in Iraq
Authors: Rasha Qaband  , Anas Sajid Al-Rawi  
Published: May 2024

The organizational development process represents a systematic and continuous process that does not stop at a specific point. It is a continuous cycle of continuous improvement that includes drawing, developing, implementing, evaluating, improving and monitoring strategies. The organizational development process focuses on studying internal changes in the company and external changes as well and their implications for the company and its performance in order to improve communication and interaction processes. Within the company and ensuring that all employees work in consistency with the company's goals and values, developing employees, improving their capabilities, improving the products and services provided by the company to its customers, and also increasing profitability, the research aims to know the impact of organizational developments in developing investments in the financial sector in Iraq. Through statistical analysis, the results showed that the values of the regression coefficient and the beta coefficient (B) were positive. This means that organizational developments positively affect the development of investments for joint-stock companies in Iraq, that is, the greater the degree of organizational development, the greater the ability to develop investments for joint-stock companies in Iraq. The results showed that the correlation coefficient (R) was (0.629), while the results showed that the square value of the coefficient Correlation (R²), (0.396); Its interpretation means (38%) of the development of investments in the financial sector in Iraq. Based on the previous result, the hypothesis was accepted and the research recommends developing the legal environment, including the Companies Law by issuing rules for public offering and developing its mechanisms when marketing the shares of new companies or existing companies when increasing their capital. In order to attract national and foreign capital.
Engineering Geological Study of Road Tunnel Along Siddhartha Highway Between Butwal and Dobhan Siwaliks Group, West-central Nepal
Authors: Sharma Bishwas , Ulak Prakash Das 
Published: May 2024

The Siddhartha Highway is a critical economic artery in Nepal, providing a vital trade link with China and India. However, this roadway has been beset by the frequent occurrence of rock falls and dry landslides, which can cause severe damage and disruption. The main causes of these issues are differential weathering patterns of the rocks, activation of the Main Frontal Thrust (MFT), and a young mountain chain with fragile geology. Because of road instability, the road tunnel has been proposed to prevent damage. The proposed tunnel road passes between the chainage of 29+000 and 30+370 in the rocks of the Lower and Middle Siwaliks. The Lower Siwaliks are composed of thick to thin-bedded shale, mudstone and calcareous sandstone whereas the Middle Siwaliks are represented by presence of friable sandstone, shale and mudstone. The rock mass of this section varies from poor rock to extremely poor rock with RMR values ranging from 29 to 45 and Q values ranging from 0.19 to 1.11. The support system for each class is derived according to RMR and Q-value. The kinematic analysis reveals the potential of wedge failure at the southern portal of the road tunnel, whereas the northern portal has shown a low potential for failure.

Received: 26 February 2024 | Revised: 10 April 2024 | Accepted: 10 May 2024

Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.

Data Availability Statement
Data available on request from the corresponding author upon reasonable request.

Author Contribution Statement
Bishwas Sharma: Conceptualization, Methodology, Software, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization, Funding acquisition; Prakash Das Ulak: Methodology, Validation, Writing - review & editing.
Contract Governance, Uncertainty, and Project Performance: Evidence from Water Environment Public–Private Partnerships of China
Authors: Qian Jiuling , Cao Fuguo 
Published: May 2024

A public–private partnership (PPP) contract is a long-term procurement contract between the government and private sector, which inevitably faces uncertainties. Existing studies have shown that uncertainty has a significant negative impact on project performance. Some strategies to deal with uncertainty have been proposed; however, they lack systematic attention to PPP contract governance. This paper builds a theoretical framework of PPP contract governance under the constraints of “behavior and environment” through the derivation of classic theories. The framework includes four theoretical variables: output-based specification, good-faith cooperation, flexibility, and public interest protection. The theoretical framework was tested empirically based on data from 368 respondents of a set of survey questionnaires regarding water environment PPP projects. Results reveal that the four theoretical variables are an organic unity and that PPP contract governance and its four dimensions have a positive impact on project performance. Meanwhile, this paper uses the NVivo12 quantitative analysis tool to identify the PPP mechanism: PPP contract governance promotes project performance through the prevention and reduction of behavioral, environmental, and semantic uncertainties. These findings provide evidence from the context of developing countries, such as China, for the improvement of PPP contract governance theory. Moreover, these findings contribute empirical experience and wisdom from contract governance theory to the improvement of long-term project performance.

Received: 14 January 2024 | Revised: 17 April 2024 | Accepted: 28 April 2024

Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.

Data Availability Statement
The data that support this work are available upon reasonable request to the corresponding author.
Students Perception of Gamified Learning in EFL Class : Online Quizizz for Engagement and Motivation
Authors: Fahada Nazli , Asrul Nurmahyuni 
Published: May 2024

This study investigated gamified learning, particularly online quizizz, in EFL (English as a Foreign Language) One digital educational game that is gaining popularity is quizizz, a game-based online test that enables entertaining multiplayer teaching activities and allows learners to practice with their devices. This study aimed to examine students' perceptions of the use of quizizz on student motivation and engagement. A descriptive quantitative research design was used in this study, in which data were collected from questionnaires to gain insight into how quizizz affected the aspects of motivation and engagement. The questionnaire data were analyzed using descriptive statistics. The study found that quizizz significantly increased students' motivation to learn English, with the interactive nature of the platform being a key factor in boosting their enthusiasm for language learning. Despite a minority of respondents finding quizizz boring, the majority reported enjoying the platform's gamified approach to learning and felt more active and engaged during classes where quizizz was utilized. Additionally, participants acknowledged quizizz's substantial contribution to their knowledge of English vocabulary and grammar. Moreover, the study found that quizizz positively shaped students' perceptions of online learning, its potential to enhance digital learning experiences and enhance student engagement in english learning. The findings underscore the beneficial effects of quizizz on student motivation and engagement.
Promoting nutrition literacy in children: a case study of a community partnership between a university and an elementary school
Authors: Branum Candise 
Published: May 2024

Background: Health literacy outreach is commonplace within public and hospital libraries but less so in academic libraries, where it is often viewed as not integral. Academic health science libraries may collaborate with public libraries to provide public health information literacy programming or “train the trainer” sessions, but examples of academic health science librarians leading community health initiatives are still limited.
Case Presentation: This case report discusses a collaborative project between Gonzaga’s Foley Center Library, the School of Nursing and Human Physiology, and a local elementary school to promote health literacy for students and their families, led by an Academic Health Sciences Librarian. The project scope included delivering nutrition education to elementary school students and their families, but pandemic closures limited plans for in-person programming. Conversations with stakeholders led to additional project opportunities, including tabling at the local block party, collaborating on a campus visit for 5th and 6th graders, supporting middle school cooking classes, and the creation of a toolkit for elementary and middle school teachers to support curriculum about healthy body image and potential disordered eating.
Conclusion: This project demonstrates one example of how academic libraries can partner with other campus departments to support health literacy outreach in their local communities. The pandemic made planning for in-person programming tenuous, but by expanding meetings to include staff from other areas of the university, the project team was able to tap into additional outreach opportunities. This work fostered close relationships with the local elementary school, providing the groundwork for collaborative health programming in the future, though more thorough assessment is suggested for future projects.
Data Policy Finder: an easily integratable tool connecting data librarians with researchers to navigate publication requirements
Authors: Dellureficio Anthony , Willoughby Eric , Gibson Donna 
Published: May 2024

The Data Policy Finder is a searchable database containing librarian-curated information, links, direct quotes from relevant policy sections, and notes to help the researcher search, verify, and plan for their publication data requirements. The Memorial Sloan Kettering Cancer Center Library launched this new resource to help researchers navigate the ever-growing, and widely varying body of publisher policies regarding data, code, and other supplemental materials. The project team designed this resource to encourage growth and collaboration with other librarians and information professionals facing similar challenges supporting their research communities. This resource creates another access point for researchers to connect with data management services and, as an open-source tool, it can be integrated into the workflows and support services of other libraries.
YOLOv8 based fish detection and classification on fishnet dataset
Authors: Omkar Mahajan  
Published: May 2024

The research examines the marine fishing sector and highlights the urgent need for an electronic monitoring system designed to meet the unique needs of fishermen. The initiative’s motive is emphasized in the paper, which highlights how cutting-edge technology like object detection and tracking could revolutionize the fishing industry when integrated into an electronic monitoring framework. The research proposes an electronic monitoring system based on YOLOv8 (You Only Look Once) as a comprehensive solution to address current issues, such as out-of-date data collection methods and a lack of guiding applications. The review of the literature, which highlights gaps in the current fishing applications, is an important component of the paper. The research is geared towards training an object detection model on the fishnet dataset. The focus is on data processing created by an electronic monitoring system to rectify the current state of the fishing industry’s deficiencies.
Optimal Deployment of DGs, DSTATCOMs and EVCSs in Distribution System using Multi-Objective Artificial Hummingbird Optimization
Authors: Varun Krishna Paravasthu  
Published: May 2024

Distribution systems have a lot of obstacles to deal with, like increasing load demands, environmental issues, operating limits, and infrastructure development limitations. On the other hand, the number of plug-in hybrid electric vehicles (PHEVs) has grown significantly in recent years and is likely to continue due to concerns over the environment and fossil fuel shortages. Due to the increasing use of PHEVs, distribution systems were not built to accept them, requiring planners to create parking lots that support PHEV charging. To address these issues, in this study, optimal planning of distributed generation (DG) and electric vehicle charging stations (EVCS) in radial distribution systems by the maiden application of a novel Pareto-based multi-objective artificial hummingbird optimization (MOAHO) algorithm is addressed. Three technical aspects of the distribution system are improved by optimal planning of various types of DGs and EVCSs: active power loss reduction, total voltage deviation minimization, and voltage stability improvement. The Pareto-based MOAHO is employed to generate the optimal front between the three competing objectives and later TOPSIS method is employed for selecting the most compromised solution from the optimal front. The proposed methodology is tested on IEEE-33, IEEE-69 bus radial distribution test systems. To validate the efficacy of the MOAHO algorithm, the simulation outcomes of the proposed methodology are generated using a multi-objective non-dominated sorting genetic algorithm (NSGA2), particle swarm optimization algorithm (PSO), grey wolf optimization algorithm (GWO) and compared with the outcomes of the MOAHO algorithm.
The Effect of Combined Synthetic Tabular Data Generated Using CTGAN Model with Actual Data on Performance of DHF, Varicella, and COVID-19 Recognition Model
Authors: Husni Iskandar Pohan  
Published: May 2024

There are several quickly spreading illnesses such as DHFs spread by mosquitoes, COVID-19 spreads through respiratory droplets and contact with contaminated surfaces, and Varicella spreads by direct touch. The transmission rate of these diseases can be reduced if medical services can identify them early. However, the performance of the prediction model based on the machine learning approach is limited by the availability of labelled patient datasets. This study showed some empirical evidence of the use of synthetic data generated using actual medical records as the basis to improve the performance of the prediction model. The empirical results showed that the Decision Tree algorithm which is trained using a mixed synthetic and actual dataset can achieve 91.98% average accuracy which is higher than model performance which is trained using real dataset only. The results of model interpretation using Shapley Additive Explanations have the advantage of measuring the overall dominant features and indicating that the top five most important features are Thrombocyte, Temp, Cough, Spot, and Nauseous .
Optimizing Windowed Filters for Enhanced OFDM Performance in 5G Networks: A Comprehensive Analysis of PAPR, BER, and PSD
Authors: Hardik B. Tank  
Published: May 2024

Orthogonality for the frequency division multiplexing is the approach which is widely accepted for the current wireless communication, but as the technology is on the verge of moving in to the fifth generation wireless communication there are some limitations such as PAPR, PSD and BER of Orthogonal frequency division multiplexing which cannot be ignored for the fifth generation as promises the Massive machine communication, huge Reliability and minimum latency and extended mobile broadband, so to achieve above promises here in this proposed research work the filtering technique for the OFDM also in this research work specifies the importance of windowing techniques in the design of filters for Filtered Orthogonal Frequency Division Multiplexing. This is mainly by reducing Peak-to-Average Power Ratio and optimizing Bit Error Rate to minimize Out-of-Band Emissions, which contributes to enhancing spectral containment properties, thus reducing inter-system interferences in the field of communication systems. This study elucidates the principles of windowing and application in f-OFDM to offer immediate insight into how filters are designed under optimal capacity for high system efficiency. The use of windowing in simulations has proven effective in enhancing the filter design process, and demonstrates the future of the evolution of digital communications systems ,the waveform by means of various windowing methods considering the parameters Power spectral density, Bit error rate and PAPR, simulation results shows that the nuttall's blackman-harris, kaiser & root raised cosine windowed filter function are best suitable for the filtering the OFDM signal to improve the spectral efficiency, BER.