bluuebunny/crossref_metadata_2025 huggingface dataset:
Kerjasama Sister City Antara Pemerintah Kota Surabaya dan Kota Kitakyushu Sebagai Upaya Pengelolaan Sampah Tahun 2012-2023
Authors:   Universitas Pembangunan Nasional “Veteran” JawaTimur, Alifirano Pandana Zacky , Firdaus Nuryananda Praja ,   Universitas Pembangunan Nasional “Veteran” JawaTimur
Published: June 2024

Penelitian ini akan mengidentifikasi hasil-hasil program kerjasama sister city Surabaya-Kitakyushu pada tahun 2012-2023 dalam mewujudkan Surabaya Green City dan membandingkan dengan kondisi pengelolaan sampah yang ada saat ini di Kota Surabaya dengan menggunakan metode penelitian deskriptif kualitatif. Rumusan masalah yakni bagaimana kerjasama sister city antara Pemerintah KotaSurabaya dan Pemerintah KotaKitakyushu sebagai upaya pengelolaan sampah tahun 2012-2023 dengan teknik pengumpulan data analisis data primer dan data sekunder. Hasil yang didapatkanmenunjukkan bahwa kerjasama antara kedua kota tersebut telah menghasilkan berbagai program seperti daur ulang, fasilitas pengolahansampah Super Depo Suterejo, Rumah Kompos Wonorejo, PDU Jambangan, Pelestarian Hutan Mangrove, dan PLTSa di TPA Benowo. Program-program tersebut telah menunjukkan peningkatan subtansial dalam pengelolaan sampah yang dapat dihasilkan dari teknologi yang sederhana dan murah sehingga memberikan manfaat dari aspek efisiensi waktu dan pengurangan sampah secara kuantitatif. Meskipun telah memberikan hasil yang nyata, akan tetapi harus tetap diperlukan adanya perbaikan/evaluasi pada fasilitas TPLSa Benowo dan penggunaan metode Takakura yang memerlukan langkah-langkah preventif dan komprehensif.
ANALISIS DAMPAK SANKSI EKONOMI BARAT TERHADAP STRATEGI RUSIA DALAM IMPOR TEKSTIL
Authors:   Universitas Muhammadiyah Malang, Galih Narendra Pangestu , Prinanda Devita ,   Universitas Muhammadiyah Malang
Published: June 2024

War between Russia and Ukraine, which started from early February 2022 had already giving significant impact on Russian economy. Many of Russian economic dan industrial sectors had slowed down or halted due to economic sanctions from Western countries, whowere allies for Ukraine and NATO. One of those sectors is Russian textile and garment industries. This journal has a purpose to explain how Western economic sanctions affect Russian decision making on export-import activity of textile and garment industries. By using economic sanctions theory and qualitative methods, and literature study to gather data about the effect of western economic sanction towards Russian textile industryand responds from Russia in handling its textile and garment industry.
The effectiveness of experiential learning modules in increasing problem-solving ability of new employees
Authors: Ken Budiarto Helmy Gania , Fauziah Puji Yanti , Purwanto Nurtanio Agus
Published: June 2024

This research aims to know the effectiveness of experiential learning modules in increasing Problem solving ability of new fresh graduate employee in SDIT Assisi and Sari Asih Hospital.  This study employed a quasi-experimental research design that Pre-Post test Control Group Design was utilized in this study's experiment, in which two classes—treatment and control class—were used. Data collection techniques included pre and post-test, observation, and documentation.  The results of research on training using EL module show that pre and post-test results obtain a sig. value of 0.056 0.05 confidence level, indicating that there is no significant difference in problem-solving ability of fresh graduates using EL module afterward. Meanwhile, the results of pre and post-test in the control and treatment class obtained results with a Sig. value of 0.094 0.05 confidence level. Therefore, it can be concluded that there is no significant difference in problem-solving ability of fresh graduate employees between training used EL modules and those that didn’t use EL modules.
The Assessment of Multilingual Learners
Authors: Mahoney Kate
Published: June 2024

This book is a comprehensive introduction to the topic of assessing students who use two or more languages in their daily life. The book provides foundational information for assessing multilingual learners (ML) in schools, with an emphasis on school language and content. This 2nd edition has a greater focus on multilingual assessment.
Association Between Socioeconomic Inequalities in Pain and All-Cause Mortality in the China Health and Retirement Longitudinal Study: Longitudinal Cohort Study
Authors: Zhang Zhuo , Xue Dongmei , Bian Ying
Published: June 2024

Background

Few studies focus on the equality of pain, and the relationship between pain and death is inconclusive. Investigating the distribution of pain and potential mortality risks is crucial for ameliorating painful conditions and devising targeted intervention measures.

Objective

Our study aimed to investigate the association between inequalities in pain and all-cause mortality in China.

Methods

Longitudinal cohort data from waves 1 and 2 of the China Health and Retirement Longitudinal Study (2011-2013) were used in this study. Pain was self-reported at baseline, and death information was obtained from the 2013 follow-up survey. The concentration index and its decomposition were used to explain the inequality of pain, and the association between pain and death was analyzed with a Cox proportional risk model.

Results

A total of 16,747 participants were included, with an average age of 59.57 (SD 9.82) years. The prevalence of pain was 32.54% (8196/16,747). Among participants with pain, the main pain type was moderate pain (1973/5426, 36.36%), and the common pain locations were the waist (3232/16,747, 19.3%), legs (2476/16,747, 14.78%) and head (2250/16,747, 13.44%). We found that the prevalence of pain was concentrated in participants with low economic status (concentration index –0.066, 95% CI –0.078 to –0.054). Educational level (36.49%), location (36.87%), and economic status (25.05%) contributed significantly to the inequality of pain. In addition, Cox regression showed that pain was associated with an increased risk of all-cause mortality (hazard ratio 1.30, 95% CI 1.06-1.61).

Conclusions

The prevalence of pain in Chinese adults is concentrated among participants with low economic status, and pain increases the risk of all-cause death. Our results highlight the importance of socioeconomic factors in reducing deaths due to pain inequalities by implementing targeted interventions.
Childhood Gender Diversity and Mental Health: Protocol for the Longitudinal, Observational Gender Journey Project
Authors: Hidalgo Marco A , Chen Diane , Tishelman Amy C , Olson-Kennedy Johanna , Chan Yee-Ming , Garofalo Robert , Petras Hanno , Rosenthal Stephen M , Ehrensaft Diane
Published: June 2024

Background

Prepubertal transgender, nonbinary, and gender-diverse (TGD) children (ie, those asserting gender identity, expressing gender-role behavior outside of culturally defined norms for their sex registered at birth, or both) are presenting in greater numbers to pediatric gender clinics across the United States and abroad. A large subset of TGD children experiences gender dysphoria, that is, distress that arises from the incongruence between gender identity and sex registered at birth. A lack of consensus exists regarding care for prepubertal TGD children due, in part, to a dearth of empirical research on longitudinal developmental trajectories of gender identity, role behavior, and gender dysphoria (when present).

Objective

The objective of this National Institutes of Health–funded study is to provide evidence to inform clinical care for prepubertal TGD children by establishing a US longitudinal cohort (N=248) of prepubertal TGD children and their caregivers that is followed prospectively at 6-month intervals across 18 months.

Methods

At each timepoint, clinical and behavioral data are collected via web-based visit from child and caregiver reporters. Latent class analysis, among other methods, is used to identify subgroups and longitudinally characterize the gender identity and gender-role behavior of TGD children. These models will define longitudinal patterns of gender identity stability and characterize the relationship between TGD classes and mental and behavioral health outcomes, including the moderating role of social gender transition (when present), on these associations.

Results

Baseline data collection (N=248) is complete, and the identification of TGD subgroups based on gender identity and expression using latent class analysis is anticipated in 2024. The completion of all 4 waves of data collection is anticipated in July 2024, coinciding with the start of a no-cost study extension period. We anticipate longitudinal analyses to be completed by winter 2024.

Conclusions

Through a longitudinal observational design, this research involving prepubertal TGD children and their caregivers aims to provide empirical knowledge on gender development in a US sample of TGD children, their mental health symptomology and functioning over time, and how family initiated social gender transition may predict or alleviate mental health symptoms or diagnoses. The research findings have promise for clinicians and families aiming to ensure the best developmental outcome for these children as they develop into adolescents.

International Registered Report Identifier (IRRID)

DERR1-10.2196/55558
Overcoming a Knowledge Gap of Healthcare Professionals: The Influence of Previous Experience on the (Non-)Adoption of VR in Medical Rehabilitation (Preprint)
Authors: Schreiter Melina , Hennrich Jasmin , Wolf Anna Lina , Eymann Torsten
Published: June 2024

BACKGROUND

The metaverse concept, gaining popularity since 2021, integrates technologies like virtual reality (VR) presenting novel opportunities for healthcare (HC). The use of VR technologies in HC, particularly in medical rehabilitation, has demonstrated effectiveness by enabling patient remobilization in virtual environments, offering real-time performance feedback, enhancing physical function and quality of life, and allowing patients to perform exercises autonomously. Nevertheless, integration of VR into routine rehabilitative practice is facing slow adoption due to concerns from HC professionals regarding data security and ethical considerations.

OBJECTIVE

This study seeks to explore how previous experience with VR technologies influences HC professionals' decisions to adopt or reject these technologies in medical rehabilitation.

METHODS

Using Rogers' diffusion of innovation theory, we conducted 23 semi-structured interviews with HC professionals from different rehabilitative fields in Germany. We grouped the interview participants regarding their innovativeness into VR experienced "innovators" and non-experienced "laggards". We apply qualitative content analysis techniques and categorize 26 adoption and rejection factors.

RESULTS

The identified 26 factors influence VR technology adoption and rejection. VR-experienced "innovators" showed different adoption patterns compared to non-experienced "laggards”, while factors of adoption hardly differed.

CONCLUSIONS

Addressing unique needs of both groups is crucial for wider VR acceptance in HC. The study enhances understanding of technology adoption, offering insights for developing strategies to improve VR integration in medical rehabilitation.
Opportunities for Automated Liver Disease Risk Prediction in the Finnish Healthcare Environment (Preprint)
Authors: Männikkö Viljami , Tommola Janne , Tikkanen Emmi , Hätinen Olli-Pekka , Åberg Fredrik
Published: June 2024

BACKGROUND

Chronic liver disease incidence and mortality have been rising worldwide. In many cases, liver disease is detected late in the symptomatic stage, while the earlier detection would be crucial for early initiation of preventative actions. “The Chronic Liver Disease score”, CLivD, risk detection model has been developed with Finnish healthcare data and it predicts a person's risk of getting the disease in future years.

OBJECTIVE

We had two main objectives: 1) to evaluate feasibility to implement automatic CLivD score with current Kanta platform, 2) to identify and suggest the improvements for Kanta that would enable accurate automatic risk detection.

METHODS

In this study, real-world data repository (Kanta) was used as a data source for “The ClivD score” risk calculation model. Our dataset consisted of 96 200 individuals whole medical history from Kanta. For real-world data utilization we designed process to handle missing input in calculation process.

RESULTS

We found that Kanta currently lacks many CLivD risk model input parameters in the structured format required to calculate precise risk scores. However, the risk scores can be improved by utilizing the unstructured text in patient reports and by approximating variables by utilizing other health data like diagnosis information. With only utilizing structured data we were able to identify only 33 persons out of 51 275 persons to “Low risk” category and under 1% to “moderate risk” category. By adding the diagnosis information approximation and free text utilization we were able to identify 37% of persons to “Low risk” category and 4% to “moderate risk” category. In both cases we were not able to identify any persons to “high-risk” category because of the missing waist-hip ratio measurement. We evaluated three scenarios to improve the coverage of waist-hip ratio data in Kanta and these yielded the most substantial improvement in prediction accuracy.

CONCLUSIONS

We conclude that the current structured Kanta data is not enough for precise risk calculation for CLivD or other diseases where obesity, smoking and alcohol use are important risk factors. Our simulations show up to 14% improvement in risk detection when additional data sources are considered. Kanta shows potential for implementing nation-wide automated risk detection models that could result in improved disease prevention and public health.

CLINICALTRIAL

This study didn’t have any trial registration. All data utilized in this study were retrieved through Finnish authorities Findata and Kela with all required permissions.
Analyzing Prostate Cancer Patient Association Utilization of the Metaverse during the 2023 Blue Ribbon Campaign: Cross-Sectional Survey Study (Preprint)
Authors: Jo Jung Ki , Kim Yeeun , Ha Yun-Sok , Kim Kwang Taek , Yoo Sangjun , Choi Woo Suk , Yang Jihye , Shin Jaeeun , Kim Sun Il , Kim Jeong Hyun
Published: June 2024

BACKGROUND

It is important to explain early diagnosis and treatment plans to patients due to the different stages that diagnosis is made at and corresponding stage-specific treatment options, as well as the varying prognoses depending on the choices made. While various studies have implemented Metaverse interventions across diverse clinical settings for medical education, there is a lack of publications addressing the implementation and validation of patient education using this technology. This study explored the potential of the metaverse as an educational and informational tool for prostate cancer.

OBJECTIVE

This study aimed to measure and analyze participants’ satisfaction and perceptions of the Prostate Cancer Metaverse Patient Association.

METHODS

The study was conducted via questionnaire administered from September 15 to October 20, 2023, during the blue ribbon campaign organized by the Korean Urological Foundation and the Korean Society of Urological Oncology. The questionnaire was designed to assess the effectiveness of utilizing the metaverse to increase awareness of prostate cancer. A total of 119 participants completed the survey within the metaverse space, and their satisfaction and changes in awareness were analyzed.

RESULTS

Mean educational satisfaction score was 4.17 (±0.65), mean psychological satisfaction score was 4.06 (±0.70), mean overall satisfaction score was 4.12 (±0.72), and mean awareness score was 4.09 (±0.72) out of a possible five points. Statistical analysis revealed significant differences in psychological (4.0 [3.50-4.63] vs 4.50 [4.0-4.56]) and overall aspects (4.0 [3.67-4.83] vs 4.33 [4.0-4.67]) between general population individuals versus patients and caregivers (4.0 [3.33-4.33] vs 4.67[4.0-4.67]).

CONCLUSIONS

Many people appear willing to participate in the metaverse based patient association. These results suggest that using Metaverse for healthcare education and information delivery is a valid way to improve healthcare quality and increase patient engagement. This is an important contribution to the advancement of metaverse technology, expanding its potential applications in healthcare.
Mangosteen (Garcinia mangostana L.) Peel Decoction Effect on Embryological Development of Wader Pari Fish Rasbora lateristriata (Bleeker, 1854)
Authors: Khasanah Luthfia Uswatun , Paramita Pradnya , Retnoaji Bambang
Published: June 2024

Mangosteen (Garcinia mangostana L.) is a tropical fruit that has become a sought-after commodity by enthusiasts from various countries, including Indonesia. The active components found in mangosteen peel primarily consist of active xanthone compounds, such as mangostenol, mangostin, mangostino A, mangostino B, tvophylin B, trapezifolixanthone, alpha mangostin, beta mangostin, garcinon B, mangostano, as well as flavonoids epicatechin and gartanin. These compounds exhibit a range of beneficial properties, including anti-inflammatory, antibacterial, antifungal, antihistamine, antidiabetic, anticancer, and more. Consequently, there is significant potential in developing mangosteen peel extract as a valuable ingredient in herbal medicine. However, there is currently no available data on the effects of exposure to mangosteen peel decoction on fish animal models. Therefore, it is essential to investigate the impact of mangosteen peel decoction on wader pari fish (Rasbora lateristriata) embryos. In this study, wader pari embryos were subjected to various concentrations of mangosteen peel decoction (0.5, 1, 5, and 25 µg/mL). The effects on egg hatchability, survival rate (SR), heart rate frequency, and heart morphology of the larvae were meticulously examined using a Leica microscope. The data obtained were subjected to statistical analysis using one-way ANOVA. The findings demonstrated that exposure to mangosteen peel decoction resulted in lower hatching rates and embryonic survival, alongside an increased heart rate frequency. Additionally, the exposed embryos displayed cardiac edema and cardiac bending, particularly at the concentration of 25 µg/mL. In conclusion, the exposure of wader pari fish embryos to mangosteen peel decoction at the concentrations of 25 µg/mL and higher significantly affected the hatching rate, survival rate, and heart rate of R. lateristriata fish larvae.
A Brief Review of Efficacious Plants in the World: Tagetes (Marigold)
Authors: Zahara Meutia , Arifin Vera Nazhira , Hamama Syarifah Farissi
Published: June 2024

Tagetes is a genus consisting of several efficacious plant species known as marigold, which is native to Mexico and has  spread worldwide due to its ability to adapt to different soil conditions. This genus is very popular among gardeners because it’s easy to cultivate, adaptable, produces flowers all year round, has a free flowering habit, short duration, and the flower has an attractive color and shape. It has many flowers of varying colors such as red, orange, yellow, mixed red-orange or red-yellow, but the yellow and orange color are the most popular. The flowers contain many carotenoids, which act as antioxidants, anti-bacterial, anti-inflammatory, anti-carcinogen, nematicide, and cosmetics. The carotenoid can also cure fever, epileptic fits, astringent, scabies, liver complaints, stomachache, sore throat, and  can be used as a natural moisturizer, and natural mosquito repellent Besides its use as a medicinal plant, Tagetes is also used as ornamental plants and edible plants. This manuscript’s endeavour is to include some important investigations and studies about the general description, phytochemicals compounds and essential oils, medicinal uses, natural pesticides, and food and beverage uses of the marigolds.
First Report of Cladosporium dominicanum Zalar, de Hoog & Gunde-Cim. Infecting Whitefly on Ornamental Plants in Bali, Indonesia
Authors: Sudiarta I Putu , Sugiarta Dwi , Selangga Dewa Gede Wiryangga , Wirya Gusti Ngurah Alit Susanta , Gargita I Wayan Diksa , Yuliadhi Ketut Ayu , Klett Katrina
Published: June 2024

As natural enemies, entomopathogenic fungi are essential for controlling certain plant pests, such as whitefly. Many types of entomopathogenic fungi can infect whiteflies, including those from the genera Aschersonia, Metarhizium, Beauveria, and Cladosporium. Currently, there is great interest in using entomopathogenic fungi as an environmentally friendly pest control in organic and sustainable agricultural systems. This study aimed to identify entomopathogenic fungus associated with whiteflies. Identification of entomopathogenic fungus was performed morphologically and molecularly using DNA barcoding with ITS-1 and ITS-4 as primers, in addition to sequencing and phylogenetic tree analysis. Whiteflies infected with entomopathogenic fungus were discovered on ornamental plants (Premna serratifolia, Ficus religiosa, and Ficus rumphii) in Denpasar, Bali, Indonesia from January to March 2023. We found that samples from the field had mycelium that was unbranched or sparingly branched with solitary conidiophores arising terminally from ascending hyphae or laterally from plagiotropous hyphae. Samples from PDA media had ramoconidia with darkened septa, straight and conidia in long branched chains, branching in all directions, conidia were obovoid, ovoid to limoniform. The fungal colonies had the characteristics of being grey-olivaceous, olivaceous-black, and the margins were grey-livaceous to white, gray olivaceous in colony center due to abundant sporulation. In addition, based on the BLAST nucleotide sequence from NCBI GenBank, the insect pathogen phylogenetic tree found in Denpasar, Bali, is in the same clade as Cladosporium dominicanum strain SCAU014, accession number KY827344.1. Based on morphological and molecular analysis the fungus that infects whiteflies on ornamental plants is C. dominicanum.
Flood Guard: A Holistic Approach with IoT and AI Technologies
Authors: Gupta Jayshree
Published: June 2024

Abstract: The frequency and severity of floods have been increasing due to climate change, posing significant risks to both human lives and infrastructure. In response to this challenge, Flood Guard presents a comprehensive solution leveraging Internet of Things (IoT) and Artificial Intelligence (AI) technologies. The core of the system relies on a combination of pretrained YOLO (You Only Look Once) models for person detection and TensorFlow for flood detection within video frames. This enables the system to identify individuals in flood-affected areas, aiding in rescue and evacuation efforts. Moreover, the integration of YOLO object detection facilitates the precise counting of individuals, enhancing the efficiency of response teams. In addition to software components, Flood Guard incorporates a range of hardware devices including ultrasonic sensors, humidity sensors, pressure sensors, water flow sensors, temperature sensors, and a Raspberry Pi-based system. These sensors collectively monitor various environmental parameters such as water level, temperature, humidity, and pressure, providing realtime data crucial for flood prediction and early warning systems. The integration of Raspberry Pi with these sensors enables localized data collection and processing, enhancing the system's scalability and adaptability. Furthermore, Flood Guard incorporates a user-friendly interface accessible via an online platform, where stakeholders can visualize real-time sensor data through graphs, enabling informed decision-making. Additionally, the system utilizes Telegram for instant alerts, notifying authorities and civilians about impending flood events and their respective locations. Overall, Flood Guard offers a proactive approach to flood management by combining advanced AI algorithms, IoT devices, and real-time data visualization. By providing early warnings, precise detection of individuals in flood-prone areas, and comprehensive sensor data analysis, Flood Guard aims to mitigate the impact of floods and enhance the resilience of communities facing this growing threat.
Development of a Smart LPG Monitoring and Automatic refill system
Authors: Venkataramanaiah B.
Published: June 2024

Abstract: In today's households, hotels, and industries, Liquefied Petroleum Gas (LPG) is commonly used for cooking. However, the risk of LPG leakage is a major concern as it poses dangers to users and society. To address this issue, placing a gas leak detector near the source is considered the most effective method to prevent these risks. Additionally, users often struggle with gauging the gas remaining in cylinders, leading to inconvenience. To solve these challenges, this project proposes a unique solution combining LPG leakage detection, real-time monitoring of cylinder levels, and automated booking through SMS to distributors. The system also includes an alert feature using SMS notifications and a loud buzzer to immediately notify users of potential leaks and prevent accidents. This proposed system offers continuous gas level monitoring, rapid event response, and accurate leakage detection, distinguishing it from current solutions.
Retrofitting of RCC Residential Tower for Two Additional Floors
Authors: Kumar Deepak
Published: June 2024

Abstract: The maintenance, rehabilitation and upgrading of structural members, is perhaps one of the most crucial problems in civil engineering applications. Moreover, a large number of structures constructed in the past using the older design codes in different parts of the world are structurally unsafe according to the new design codes. Since replacement of such deficient elements of structures incurs a huge amount of public money and time, strengthening has become the acceptable way of improving their load carrying capacity and extending their service lives. Infrastructure decay caused by premature deterioration of buildings and structures has led to the investigation of several processes for repairing or strengthening purposes. One of the challenges in strengthening of concrete structures is selection of a strengthening method that will enhance the strength and serviceability of the structure while addressing limitations such as constructability, building operations, and budget. Structural strengthening may be required due to many different situations. Retrofitting concrete structures is essential due to the aging and deterioration of infrastructure, exacerbated by advancements in construction technologies. Structural engineers encounter difficulties in selecting suitable methods or materials for retrofitting, which entails reinforcing existing structures with modern technology and features. This process can involve repair, rehabilitation, or strengthening, using techniques such as steel and concrete jacketing, fiber-reinforced polymer composites, shear walls, and shear cores. Typically, retrofitting methods increase stiffness and slightly add mass, necessitating redesign and column jacketing to adapt the structure to handle the additional load.
The SDG-Islamic Banking Nexus: Insights from the OIC Top Economies
Authors: Basalma Ebrahim Omar
Published: June 2024

ABSTRACT – Islamic Banking and Finance (IBF) has emerged as a promising alternative to conventional finance, with its principles aligned with the United Nations' Sustainable Development Goals (SDGs). This study investigates the relationship between the performance of IBF in five major Organization of Islamic Cooperation (OIC) countries - Saudi Arabia, Turkey, Indonesia, Malaysia, and the United Arab Emirates - and key SDG indicators: return on assets, regulatory capital to assets, regulatory Tier 1 capital to risk-weighted assets, and broad money to total reserves ratio. Employing panel data analysis, the research reveals that three out of the four SDG indicators significantly impact the total assets of Islamic banks, while the regulatory capital-to-assets indicator shows no significant relationship. These findings underscore the complex interplay between profitability, risk management, liquidity, and asset growth in the IBF sector. The study contributes to the growing body of literature on the role of IBF in promoting sustainable development. The results have important implications for regulators, policymakers, and Islamic banking institutions, highlighting the need for a balanced approach that reconciles financial performance with social and environmental objectives. By aligning IBF with the SDGs, this research paves the way for a more sustainable and inclusive financial system that can drive economic growth, social welfare, and environmental sustainability in the Muslim world and beyond.========================================================================================================ABSTRAK – Hubungan SDG dengan Perbankan Syariah: Wawasan dari Negara-Negara Utama OKI. Perbankan dan Keuangan Syariah telah menjelma menjadi alternatif yang menjanjikan bagi keuangan konvensional, dengan prinsip-prinsipnya yang selaras dengan tujuan pembangunan berkelanjutan (SDGs). Penelitian ini menyelidiki hubungan antara kinerja total aset perbankan dan keuangan Islam di lima negara utama OKI, yaitu Saudi Arabia, Turkey, Indonesia, Malaysia, and the United Arab Emirates, dan beberapa indikator SDG yaitu laba atas aset, modal peraturan terhadap aset, peraturan modal Tier 1 terhadap aset tertimbang menurut risiko, dan uang beredar terhadap total cadangan. Studi ini menggunakan pendekatan analisis data panel yang mengumpulkan regresi kuadrat terkecil biasa menggunakan data sepuluh tahun dari tahun 2013 hingga 2022. Hasilnya menunjukkan bahwa tiga dari empat indikator SDG mempunyai dampak signifikan terhadap total aset perbankan syariah, sedangkan peraturan modal terhadap total aset perbankan syariah tidak berpengaruh signifikan terhadap total aset perbankan syariah. Temuan ini menunjukkan adanya trade-off antara profitabilitas, manajemen risiko, likuiditas, dan pertumbuhan aset di perbankan syariah. Temuan ini mempunyai implikasi bagi regulator, pembuat kebijakan, dan lembaga perbankan Islam, serta berkontribusi terhadap pemahaman keuangan yang bertanggung jawab dan pembangunan berkelanjutan.
Gestión tributaria municipal. Estudio de caso en los municipios de Norte de Santander, Colombia, en el periodo 1995-2023
Authors: Sánchez Becerra Carlos Andrés ,  Velasco-Burgos Blanca Mery
Published: June 2024

Objetivo: el objetivo de la presente investigación consistió en determinar cómo los municipios de Norte de Santander gestionaron los ingresos tributarios territoriales durante un periodo de ocho administraciones, abarcadas entre 1995 y 2023.
Diseño/metodología: se implementó una metodología descriptiva y un diseño documental, utilizando herramientas de análisis financiero de variaciones porcentuales mediante análisis vertical y horizontal; igualmente, se ha planteado una medición mediante índices, los cuales se aplicaron en dos formas: interanualmente y para periodos de gobierno completo.
Resultados: la investigación desarrollada permitió conocer, con base en la gestión de los ingresos de los municipios de Norte de Santander, la existencia de entidades territoriales donde se realiza un mayor esfuerzo fiscal en comparación con otros, a pesar de tener condiciones sociales y demográficas similares. Es así como, al observar el desempeño municipal en seis subregiones, se encuentran diferencias entre aquellas que comparten frontera con Venezuela y las que no.
Conclusiones: en conclusión, se observa que en la mayor parte de los municipios el recaudo de ingresos tributarios obedece más a esfuerzos fiscales por periodos administrativos de algunos alcaldes y no a una cultura tributaria que sea permanente a lo largo del tiempo.
Originalidad: el presente estudió permite conocer cómo las diferentes administraciones municipales en Norte de Santander han aportado a la consolidación de la descentralización a través de los ingresos tributarios, un tema frente que ha sido poco explorado en la literatura. Así mismo, permite realizar mediciones locales a partir de casos exitosos para una toma de decisiones que permitan gestionar mayores ingresos.
Chronic mercury poisoning: a case in a cat when feeding sea fish
Authors:   Primorsky State Agrarian and Technological University, Lyubchenko Elena N. , Popova Daria A. ,   Primorsky State Agrarian and Technological University, Dyachenko Maxim Yu. ,   Veterinary Clinic "Chimera", Timokhova Anastasia V. ,   Veterinary Clinic "Chimera"
Published: June 2024

Mercury is an element that exhibits high toxicity even in small concentrations, and therefore its content in the environment, feed and food products is strictly specified by sanitary and hygienic standards. In long-lived predatory fish, the accumulated mercury content can exceed its content in the habitat by hundreds of thousands and even millions of times. Therefore, from the point of view of the impact on animal health, it poses the greatest danger. Pets, which are traditionally fed fresh or thermally processed sea fish, are at especially high risk. According to some studies in animals, mercury poisoning is manifested by damage to the liver, kidneys and pathology of the central and peripheral nervous system. Morphological and biochemical blood tests for this poisoning remain uninformative, so toxicological studies are required. In a veterinary clinic, in order to establish a diagnosis and treat an animal, a case of chronic mercury poisoning of a cat when feeding sea fish was laboratory confirmed. The article presents the results of a clinical examination of the animal, the results of laboratory tests, the method of treatment and recommendations for the prevention of mercury poisoning.
Innovación frugal, ¿Qué sabemos y que deberíamos aprender para desarrollarla en procesos de emprendimiento solidario?
Authors: Reyes Castro Ariel Alfonso
Published: June 2024

El presente documento realizado a partir de un proceso de investigación descriptiva y una revisión documental sistemática en la base de datos Scopus fue soportada en el uso de una herramienta de inteligencia artificial buscando en una primera etapa determinar las criterios que permiten realizar una búsqueda exhaustiva de información a través del uso de instrumentos de bibliometría para identificar las variables que inciden desde la identificación de las características propias de la innovación frugal en los elementos que se deben considerar para el desarrollo de emprendimientos solidarios que apoyados en el logro de un propósito social, la implementación de procesos que faciliten la inclusión de personas de escasos recursos y que a través de la identificación de elementos que permitan la cooperación entre stakeholders puedan desarrollar acciones que permitan el cumplimiento de la triple cuenta de resultados para impulsar procesos de mejora en procesos, productos, mercadeo y modelos de negocio que contribuyan al desarrollo competitivo, sostenible, incluyente y equitativo de las regiones y los territorios.
Alternativas de producción agrícola en el corregimiento de Lerma - Cauca
Authors: Cabrera Muñoz Dayra Ibeth , Meneses Cerón Luis Ángel , Ahumada Mamian Andrés Felipe
Published: June 2024

El desarrollo sostenible de los territorios rurales es un desafío que requiere la búsqueda y promoción de alternativas productivas más allá de la agricultura tradicional. Este documento examina diversas opciones innovadoras que pueden diversificar las fuentes de ingresos, impulsar la economía local y mejorar la calidad de vida en la comunidad del corregimiento de Lerma - Cuaca, como una alternativa de vida diferente al cultivo de la hoja de coca como fuente de financiación; al mismo tiempo que, contribuirá generando aspectos ambientales y sociales alejados del flagelo del narcotráfico. En este orden de ideas, para el desarrollo metodológico se propone una reflexión teórica alrededor de la vocación productiva, producción agrícola, estrategias productivas y estrategias comerciales, que den pistas del abordaje de la investigación con el ánimo de tener los elementos que aporten a las comunidades una visión diferente de la agricultura. Adicional a ello y como parte de la puesta en marcha de la investigación, se realizará una caracterización a partir de elementos como información socioeconómica, reproducción, producción, consumo y circulación, ayudado así a identificar alternativas productivas que se convierten en el camino y el aliciente para estas zonas, considerando importante la investigación y sus resultados.
Bibliometric analysis of artificial intelligence trends in auditing and fraud detection
Authors: Ramos Sofia , Perez-Lopez Jose A. , Abreu Rute
Published: June 2024

This research identifies trends in artificial intelligence (AI) in auditing and fraud detection using a combination of two methods: a bibliometric and a systematic review of AI trends in auditing in fraud detection. This research develops a bibliometric analysis of 1,348 papers on “fraud”, “auditing”, and “artificial intelligence” from 1986 to 2022. The results provide a robust set of information for in-depth research on AI trends in auditing and security detection. They not only demonstrate that there is growing academic interest in the research topic of fraud but also show clear evidence that the words “fraud”, “crime”, and “fraud detection” were the most cited, generating a great impact in the literature and developing concern with the topic. Our analysis suggests that the application of AI allows for greater facilitation of procedures to combat fraud and irregularities in the field of criminal justice and fundamental rights. Most technological changes increase ethical motivations to deter fraud, and these changes will lead to a long-term decrease in the incidence of fraud (Karpoff, 2021). This research contributes to AI valuing in audit procedures to detect and prevent fraud and simultaneously mitigate it. It also contributes to the literature, highlighting trends in AI, auditing and fraud detection, thereby enabling the development of professional judgment on the topic and providing direction for future investigations.
Ge-Based Graphene FET for Low-Temperature Electronics
Authors: Wang Chen , Hong Weida , Zhang Miao , Jiang Haitao
Published: June 2024

We reported a graphene field-effect transistor (GFET) based on CVD
Ge-based graphene and primarily investigated the low-temperature
electrical characteristics. The self-alignment technique was used to
fabricate GFET to reduce parasitic effects and improve transconductance
and cut-off frequency. To further explore the electrical properties, we
studied the direct current and radio frequency characteristics of the
GFET over a temperature range from 4.2 K to 300 K, considering the
temperature-dependent resistivity of intrinsic Ge. The DC characteristic
of the GFET for 110 nm gate length, particularly the transconductance
performance, exhibits a tiny variation of only ~ 5%
across this temperature range. However, the cut-off frequency
experiences a considerable increase, improving several tens of times
when the temperature decreases to 4.2 K, with a maximum value of 3.49
GHz. This work illustrates a meaningful advancement in applying GFETs in
the lowtemperature, high-frequency domain.
PARADYS: Patient-specific Ranking of Genes Driving Dysregulation in Cancer and Therapeutic Implications
Authors: Woller Fabian , Goizueta Sandra , Kiederle Jana , Blumenthal David
Published: June 2024

In cancer, most somatic mutation are so-called passenger mutations with
no functional impact on disease development. Only a subset of the
mutations act as drivers and are responsible for tumor growth and
progression. Identifying patient-specific driver mutations is one of the
main challenges in precision oncology. Existing computational methods to
identify patient-specific cancer drivers either integrate mutation and
expression data with a single aggregated gene interaction network or use
personalized gene interaction networks without considering mutation
data. As yet, no methods making use of both patient-specific mutation
and gene network data exist. For this reason, we developed PARADYS
(PAtient-specific RAnking of genes driving DYSregulation in cancer), a
computational tool for personalized detection and impact scoring of
genes driving dysregulation in cancer
(https://github.com/bionetslab/PARADYS). On several cancer cohorts, we
show that PARADYS is able to make robust predictions by integrating
patient-specific mutation and dysregulation data. Furthermore, PARADYS’
driver predictions allow for patient stratification into functionally
coherent and biologically distinct subgroups. In particular, a case
study in prostate cancer reveals a subgroup of patients with
infiltration of dendritic cells in the tumor micro-environment and
unexpectedly high survival times, highlighting the potential of
dendritic cell therapy in prostate cancer.
Anti-inflammatory effects of physical stimuli: the central role of networks in shaping the future of pharmacological research
Authors: Paparozzi Veronica , Hooshmandabbasi Reyhaneh , Ravoni Alessandro , Ma Ying , Manni Luigi , Koh Timothy J. , Maake Caroline , Guarnieri Tiziana , Lai Darong , Zablotski Vitalii , Nardini Christine
Published: June 2024

Building on the successful synergy between biology and systems &
network theories, Systems Biology and Systems Medicine have been
instrumental to address complexity in the study of life sciences. Along
this line, Systems Pharmacology is the obvious next step. In this review
we focus on physical stimuli, whose analysis in pharmacology is
generally neglected, despite their ability, once transduced, to show
medicinal properties. To cope with this missed opportunity, our ambition
is threefold: (i) highlight how different (mechanic, optic, magnetic,
electric) physical stimuli impinge on inflammation; (ii) disseminate
knowledge on cutting-edge network approaches as effective tools to
exploit the intricacy and develop the potential of anti-inflammatory
physical therapies within the systems pharmacology framework, to
ultimately (iii) adding physical stimuli to the routine mindset of
pharmacologists. We expect this review to raise more questions than it
gives answers, thus igniting research in an area whose application gap
urgently needs fulfillment.
Monomorphic post-transplant lymphoproliferative disorder with plasmablastic differentiation: a challenge for diagnosis and treatment
Authors: Cheng Jinjun , Harney Sarah , Toner Keri , Kube Paige , Ozdemirli Metin , Wistinghausen Birte
Published: June 2024

Post-transplant lymphoproliferative disorder (PTLD) is a significant
complication of solid organ transplantation due to the lifelong
immunosuppression (IS), ranging from non-malignant lymphoproliferations
to lymphomas. Plasmablastic lymphoma (PBL), a rare and aggressive
lymphoma, usually presenting in immunocompromised individuals has been
rarely reported in the post-transplant setting. Here we summarize the
clinical and pathological features of two children with PBL and history
of solid organ transplant.
The Central Macquarie Ridge Complex in 3D From Full-waveform Ambient Noise Tomography
Authors: Wei Zhi , Tkalcic Hrvoje , Pham Thanh-Son , Rawlinson Nicholas , Eakin Caroline M , Coffin Millard Filmore , Stock Joann M. , Wang Sheng , Ma Xialong , Pickle Robert , Winder Tom , Lü ChuanChuan , Lima Thuany Costa de , Toh Yun Fann
Published: June 2024

We deployed 27 ocean-bottom seismometers (OBSs) and five Macquarie
Island stations between 2020 and 2021 along the Australian-Pacific plate
boundary in the Macquarie Ridge Complex (MRC) of the Southern Ocean.
From the waveforms recorded on successfully recovered OBSs and the
island stations, including permanent station MCQ, we generated a 3-D
S-wave velocity model for the crust and uppermost mantle using
full-waveform ambient noise tomography. Distinct surface waves are
identified via inter-station cross-correlation of the vertical
components. The new S-wave velocity model reveals a pronounced increase
in velocity across expected crustal and uppermost mantle depths.
Relatively high S-wave velocities (>3.8 km/s at 7 km below
sea level) are consistent with the presence of upper mantle rocks at
relatively shallow depths spread out along the ridge. Overall, our
findings provide initial insights on the sub-surface structure of the
MRC, a complex tectonic setting of potential subduction initiation.
Identifying the magnetospheric drivers of giant undulations: Global modeling of the evolving inner magnetosphere and its auroral manifestations
Authors: Sorathia Kareem , Shumko Mykhaylo , Sciola Anthony , Michael Adam , Merkin Viacheslav G. , Gallardo-Lacourt Bea , Henderson Michael G. , Lin Dong , Bao Shanshan , Garretson Jeffrey , Ukhorskiy Aleksandr
Published: June 2024

We present the first global geospace simulation to reproduce auroral
giant undulations (GUs). To identify their magnetospheric drivers, we
employ the MAGE (Multiscale Atmosphere-Geospace Environment) model in a
case study of a geomagnetic storm for which there were spacecraft- and
ground-based observations of GUs. The model reproduces the spatial and
temporal scales of the GUs as well as the presence of duskside
subauroral polarization streams (SAPS) and plasmapause undulations.
Based on our modeling, we are able to identify the magnetospheric
drivers of GUs as mesoscale ring current injections which, after
drifting westward, create inverted regions of flux-tube entropy (FTE)
and subsequent interchange instability. Outward-protruding interchange
fingers disrupt shielding of the inner magnetosphere, creating
longitudinally-localized ripples in magnetospheric convection
equatorward of the magnetospheric instability, which structure the
plasmapause and duskside diffuse precipitation. While not causal, SAPS
and plasmapause undulations are a consequence of the unstable
magnetospheric configuration.
Des solutions fondées sur la nature pour les objectifs climatiques des entreprises: points de vue concernant l’utilisation par les entreprises de solutions fondées sur la nature pour atteindre leurs objectifs de zéro émission nette
Authors: Vidal A. , Martinez G. , Drion B. , Gladstone J. , Andrade A. , Vasseur L.
Published: June 2024

Les solutions fondées sur la nature (SfN) sont des actions entreprises pour protéger, gérerdurablement et restaurer les écosystèmesnaturels et modifiés qui bénéficientsimultanément aux personnes et à la nature. Les SfN sont essentielles pour relever desdéfis tels que les changements climatiques, lasécurité alimentaire, la sécurité hydrique, lesrisques de catastrophes, la santé humaine et ledéveloppement social et économique. Cette publication décrit les démarches disponibles pour inclure les SfN dans les stratégies climatiques des entreprises, conformément à la définition, aux principes et au Standard mondial de l’UICN pour les SfN™. Lorsqu’elles sont correctement mises en oeuvre, les SfN peuvent contribuer à l’atténuation et à l’adaptation climatiques tout en offrant des avantages notables pour la biodiversité et le bien-être humain.
The Metaverse and Accounting: A Paradigm Shift in Emerging Technologies and Their Implications on Accounting Research
Authors: Alawadhi Abdullah S. , Alrefai Abdulrahman A.
Published: June 2024

The advent of the metaverse presents novel opportunities and challenges for the accounting field. As the metaverse integrates state-of-the-art technologies, it signifies a paradigm shift in internet applications and social phenomena. This study examines the future of accounting within the metaverse, concentrating on the potential advantages and hurdles arising from this dynamic environment. Utilizing a systematic literature review methodology, the research analyzes 49 articles published between 2018 and 2022 on the metaverse and associated technologies. The findings reveal that the metaverse affords many accounting opportunities, while concurrently posing unique challenges. Moreover, the emergence of the metaverse is expected to influence various accounting research domains, including financial reporting, auditing, taxation, management accounting, and accounting education. This research contributes to and expands the limited body of literature on accounting and metaverse technologies, offering insights into emerging opportunities, risks, and avenues for future research in this rapidly developing field.

JEL Classifications: M15; M40; M41; M42.