bluuebunny/crossref_metadata_2025 huggingface dataset:
An update on the role of sex hormones in the function of the cardiorenal mitochondria
Authors: Shulha Anastasia S. , Shyshenko Vita , Schibalski Ryan S. , Jones Adam C. , Faulkner Jessica L. , Stadler Krisztian , Ilatovskaya Daria V.
Published: November 2024

Multiple studies have highlighted the crucial role of mitochondrial bioenergetics in understanding the progression of cardiorenal diseases, revealing new potential treatment targets related to mitochondrial metabolism. There are well-established sexual dimorphisms in cardiac and renal physiology, with premenopausal females being generally protected from pathology compared with males. The mechanisms of this protection remain to be fully elucidated, however, they clearly depend, at least in part, on sex hormones. Sex hormones contribute to regulating mitochondrial function, and vice versa, highlighting the existence of a bidirectional relationship pivotal for cellular energy metabolism; however, there are still large gaps in knowledge when the sex differences in mitochondrial bioenergetics in health and disease are concerned. This manuscript provides an overview of the new evidence that has been accumulated regarding the role of sex hormones in renal and cardiac mitochondria-dependent cellular energetics, metabolism, and signaling, mainly focusing on the data obtained within the last 3–5 years. We briefly discuss mitochondrial function and different types of sex hormones for the reader and then focus on novel research underscoring the emerging mitochondrial pathways regulated by sex hormones, which might be of interest for the development of novel therapeutic strategies for cardiorenal conditions.
Revolutionising agri‐energy: A comprehensive survey on the applications of artificial intelligence in agricultural energy internet
Authors: Fu Xueqian , Ye Wei , Li Xin , Zeng Xiangrong , Wang Yubo , Chang Fuhao , Zhang Jing , Liu Ruihan
Published: November 2024

Considering the rapid advancements in AI technologies such as reinforcement learning, ChatGPT, and deep learning, this paper conducts a comprehensive survey of the technological landscape of AI in the energy and agriculture sectors. It delineates the evolutionary path of AI technologies in smart grids and precision agriculture, highlighting significant advancements in energy prediction, optimisation of production and consumption, and intelligent management. Furthermore, the paper identifies key AI technologies crucial for the Agricultural Energy Internet (AEI), offering specialised exploration into AI applications for crop cultivation and fisheries, including disease detection, yield prediction, and resource management. The research provides essential theoretical foundations for AI integration in each of these agricultural domains. In addition, the paper envisions the future integration of ChatGPT in coupled modelling of agriculture and energy systems, enhancing synergistic intelligent control, and AI‐driven carbon tracking technologies within the AEI. This study facilitates a greater grasp of the transformative potential of AI in reshaping the nexus of agriculture and energy.
Overvoltage ride through control strategy for improving voltage support capability of virtual synchronous generator
Authors: Zhao Xinmin , Zhang Haibo , Ndonji Joseph , Jiang Weiyong , Li Kai
Published: November 2024

As the application of renewable energy sources continues to increase, the virtual synchronous generator (VSG) has been proposed and received widespread attention. In China, new energy stations are typically situated at the transmission end of LCC‐HVDC lines. A failure in DC commutation can lead to overvoltage at the DC transmission end, thus posing a significant risk of disconnection from the grid due to the occurrence of overvoltage. Compared to when low‐voltage occur, it was discovered that, during overvoltage, VSGs face difficulties in rapidly attaining the preset power and transient instability. These issues can significantly impact the voltage support capability of the VSG. To address these concerns, an enhanced control strategy has been proposed. The control strategy sets reasonable power reference values, leveraging the advantage of fast voltage response in VSG by matching its voltage with virtual impedance. This ensures that the power rapidly reaches the designated reference value while reducing fluctuations in power angle. The transient power‐angle stability is validated using the energy function method. This approach enhances the reactive power absorbed by VSG, thereby mitigating transient overvoltage. Finally, simulation results from PSCAD/EMTDC validate the rationale and effectiveness of the control strategy.
Network algebraization and port relationship for power‐electronic‐dominated power systems
Authors: Ma Rui , Yang Xiaowen , Zhan Meng
Published: November 2024

In the classical differential‐algebraic equations (DAEs) framework for the traditional power system stability analysis, synchronous generators are depicted by differential equations and network by algebraic equations under the quasi‐steady‐state assumption. Differently, in the power‐electronic‐dominated power system (PEDPS), the dynamics of transmission lines of network for fully differential equations should be considered, due to the rapid response of converters' controls, for example, the alternating current controls. This poses a great challenge for the cognition, modeling, and analysis of the PEDPS. In this article, a nonlinear DAE model framework for the PEDPS is established with differential equations for the source nodes and algebraic equations for the dynamical electrical network, by generalizing the application scenarios of Kron reduction. The internal and terminal voltages of source nodes of converters are chosen as ports of nodes and network. Namely, the internal and terminal voltages of source nodes work as their output and input, respectively, whereas they work as the input and output of the algebraic network, respectively. The impact of dynamical network becomes clear, namely, it serves as a (linear) voltage divider and generates the terminal voltage based on the internal voltage of the sources simultaneously. By keeping only useful independent state variables, all differential equations for the transmission lines can be transferred to algebraic equations. With this simple model, the roles of both nodes and network become apparent, and it enhances the understanding of the PEDPS dynamics. On the other hand, broad simulations are conducted and compared to verify the proposed DAE framework for the PEDPS. As all independent variables have been kept in the model, it is found that they show the same computational accuracy, but better efficiency in computational time, compared to the electromagnetic‐transient simulation results.
Identification of CCR7 and CBX6 as key biomarkers in abdominal aortic aneurysm: Insights from multi‐omics data and machine learning analysis
Authors: Yong Xi , Hu Xuerui , Kang Tengyao , Deng Yanpiao , Li Sixuan , Yu Shuihan , Hou Yani , You Jin , Dai Xiaohe , Zhang Jialin , Zhang Junjia , Zhou Junlin , Zhang Siyu , Zheng Jianghua , Yang Qin , Li Jingdong
Published: November 2024

Abdominal aortic aneurysm (AAA) is a severe vascular condition, marked by the progressive dilation of the abdominal aorta, leading to rupture if untreated. The objective of this study was to identify key biomarkers and decipher the immune mechanisms underlying AAA utilising multi‐omics data analysis and machine learning techniques. Single‐cell RNA sequencing disclosed a heightened presence of macrophages and CD8‐positive alpha‐beta T cells in AAA, highlighting their critical role in disease pathogenesis. Analysis of cell–cell communication highlighted augmented interactions between macrophages and dendritic cells derived from monocytes. Enrichment analysis of differential expression gene indicated substantial involvement of immune and metabolic pathways in AAA pathogenesis. Machine learning techniques identified CCR7 and CBX6 as key candidate biomarkers. In AAA, CCR7 expression is upregulated, whereas CBX6 expression is downregulated, both showing significant correlations with immune cell infiltration. These findings provide valuable insights into the molecular mechanisms underlying AAA and suggest potential biomarkers for diagnosis and therapeutic intervention.
COMAP Pathfinder – Season 2 results
Authors: Lunde J. G. S. , Stutzer N.-O. , Breysse P. C. , Chung D. T. , Cleary K. A. , Dunne D. A. , Eriksen H. K. , Harper S. E. , Ihle H. T. , Lamb J. W. , Pearson T. J. , Philip L. , Wehus I. K. , Woody D. P. , Bond J. R. , Church S. E. , Gaier T. , Gundersen J. O. , Harris A. I. , Hobbs R. , Kim J. , Lawrence C. R. , Murray N. , Padmanabhan H. , Readhead A. C. S. , Rennie T. J. , Tolgay D. ,   (COMAP Collaboration)
Published: November 2024

The CO Mapping Array Project (COMAP) Pathfinder is performing line intensity mapping of CO emission to trace the distribution of unresolved galaxies at redshiftz ∼ 3. We present an improved version of the COMAP data processing pipeline and apply it to the first two Seasons of observations. This analysis improves on the COMAP Early Science (ES) results in several key aspects. On the observational side, all second season scans were made in constant-elevation mode, after noting that the previous Lissajous scans were associated with increased systematic errors; those scans accounted for 50% of the total Season 1 data volume. In addition, all new observations were restricted to an elevation range of 35–65 degrees to minimize sidelobe ground pickup. On the data processing side, more effective data cleaning in both the time and map domain allowed us to eliminate all data-driven power spectrum-based cuts. This increases the overall data retention and reduces the risk of signal subtraction bias. However, due to the increased sensitivity, two new pointing-correlated systematic errors have emerged, and we introduced a new map-domain PCA filter to suppress these errors. Subtracting only five out of 256 PCA modes, we find that the standard deviation of the cleaned maps decreases by 67% on large angular scales, and after applying this filter, the maps appear consistent with instrumental noise. Combining all of these improvements, we find that each hour of raw Season 2 observations yields on average 3.2 times more cleaned data compared to the ES analysis. Combining this with the increase in raw observational hours, the effective amount of data available for high-level analysis is a factor of eight higher than in the ES analysis. The resulting maps have reached an uncertainty of 25–50 μK per voxel, providing by far the strongest constraints on cosmological CO line emission published to date.
COMAP Pathfinder – Season 2 results
Authors: Chung D. T. , Breysse P. C. , Cleary K. A. , Dunne D. A. , Lunde J. G. S. , Padmanabhan H. , Stutzer N.-O. , Tolgay D. , Bond J. R. , Church S. E. , Eriksen H. K. , Gaier T. , Gundersen J. O. , Harper S. E. , Harris A. I. , Hobbs R. , Ihle H. T. , Kim J. , Lamb J. W. , Lawrence C. R. , Murray N. , Pearson T. J. , Philip L. , Readhead A. C. S. , Rennie T. J. , Wehus I. K. , Woody D. P. ,   (COMAP Collaboration)
Published: November 2024

The Carbon monOxide Mapping Array Project (COMAP) Pathfinder survey continues to demonstrate the feasibility of line-intensity mapping using high-redshift carbon monoxide (CO) line emission traced at cosmological scales. The latest COMAP Pathfinder power spectrum analysis is based on observations through the end of Season 2, covering the first three years of Pathfinder operations. We use our latest constraints on the CO(1–0) line-intensity power spectrum atz~ 3 to update corresponding constraints on the cosmological clustering of CO line emission and thus the cosmic molecular gas content at a key epoch of galaxy assembly. We first mirror the COMAP Early Science interpretation, considering how Season 2 results translate to limits on the shot noise power of CO fluctuations and the bias of CO emission as a tracer of the underlying dark matter distribution. The COMAP Season 2 results place the most stringent limits on the CO tracer bias to date, at ⟨T b⟩ < 4.8 μK, which translates to a molecular gas density upper limit ofρH2< 1.6 × 108M⊙Mpc−3atz~ 3 given additional model assumptions. These limits narrow the model space significantly compared to previous CO line-intensity mapping results while maintaining consistency with small-volume interferometric surveys of resolved line candidates. The results also express a weak preference for CO emission models used to guide fiducial forecasts from COMAP Early Science, including our data-driven priors. We also consider directly constraining a model of the halo–CO connection, and show qualitative hints of capturing the total contribution of faint CO emitters through the improved sensitivity of COMAP data. With continued observations and matching improvements in analysis, the COMAP Pathfinder remains on track for a detection of cosmological clustering of CO emission.
Searching for compact hierarchical triple system candidates in astrometric binaries and accelerated solutions
Authors: Bashi D. , Tokovinin A.
Published: November 2024

Context. Compact hierarchical triple (CHT) systems, where a tertiary component orbits an inner binary, provide critical insights into stellar formation and evolution. Despite their importance, the detection of such systems, especially compact ones, remains challenging due to the complexity of their orbital dynamics and the limitations of traditional observational methods.

Aims. This study aims to identify new CHT star systems among Gaia astrometric binaries and accelerated solutions by analysing the radial velocity (RV) amplitude of these systems, thereby improving our understanding of stellar hierarchies.

Methods. We selected a sample of bright astrometric binaries and accelerated solutions from the Gaia DR3 Non-Single Stars catalogue. The RV peak-to-peak amplitude was used as an estimator, and we applied a new method to detect potential triple systems by comparing the RV-based semi-amplitude with the astrometric semi-amplitude. We used available binary and triple star catalogues to identify and validate candidates, with a subset confirmed through further examination of the RV and astrometric data.

Results. Our analysis resulted in the discovery of 956 CHT candidates among the orbital sources as well as another 3115 probable close binary sources in stars with accelerated solutions. Exploring the inclination, orbital period, and eccentricity of the outer companion in these CHT systems provides strong evidence of mutual orbit alignment, as well as a preference towards moderate outer eccentricities.

Conclusions. Our novel approach has proven effective in identifying potential triple systems, thereby increasing their number in the catalogues. Our findings emphasise the importance of combined astrometric and RV data analysis in the study of multiple star systems.
Shallot extension shelf life with fogging and the storage temperature
Authors: Sukorini Henik
Published: November 2024

Some leaves of plants can serve as an anti-pest and pathogen. Applications can be extracted or made of smoke. This method is generally done to preserve fish. The use in agriculture has not been generally used, so the specific purpose of this study is to use the smoke of some leaves and combine it with the storage temperature to extend the shelf life of shallot. The postharvest handling technology package of shallot will help farmers and entrepreneurs provide the shallot throughout the year and allow the government to stabilize the price. This research was conducted using a randomized block design arranged in a nested fashion. The first factor was the storage temperature (18oC, 22oC, and 26oC). The second factor was the plant leaves for fogging (Mahogany, Tithonia diversifolia, and cloves) and fungicides without treatment as positive and negative controls. The best fogging materials were Mahogany and T. diversifolia leaves, expressed in the weight loss percentage of 4.19% and 3.33%, respectively. The better storage of shallot was at a temperature of 22, where the weight loss of shallot was low (18.46%), the percentage of tuber roots and rottenness was 0%, the disease percentage was 2.75%, and tubers sprouted by 2.1 %.
Evaluation of the quality of commercial starter derivatives for use in yoghurt beverage products
Authors: Amaniyah Maghfirotul , Devitasari Ajeng , Br Bangun Jesika Putri , Priyadi Dwi Ahmad , Prayitno Salvian Setyo
Published: November 2024

The starter used in yogurt beverage production influences its physicochemical properties, microbiological composition, and sensory quality. While using starter derivatives can reduce production costs, a challenge arises in that they may alter their adaptability to different production conditions and affect the characteristics of the fermented product, such as its acidity and taste. The acidic environment prolongs yogurt’s shelf life by inhibiting the growth of pathogenic bacteria, enhancing dairy products’ safety, and promoting better health. This study examined the physicochemical and microbiological properties and the sensory qualities of yogurt produced using starters derived from F1 to F4. The results indicated that the survival of lactic acid bacteria (LAB) in the yogurt starter and its derivatives remained stable. A pH decrease and total acid increase were observed from F1 to F4. Additionally, the viscosity of the derivative starters decreased, and the sensory evaluation revealed that flavor, smell, and texture significantly influenced overall acceptability. The quality yogurt made from starter derivatives no less than commercial starter and was found to be acceptable for use in yogurt beverage products.
The Applied Microcontroller in the Developing Urban Agriculture: A case study
Authors: Nguyen Thanh Tung
Published: November 2024

Urban agriculture (UA) is a global development trend that is particularly prevalent in Vietnam. It offers numerous useful advantages, both now and in the future. Urban agriculture has developed primarily as a result of population growth and high levels of urbanisation, the need for clean agricultural products, the desire to reconnect with nature after work- ing long hours, and, most importantly, contributions to air regulation to counteract the greenhouse effect, the creation of green spaces for contem- porary architectural landscapes, and the treatment of urban wastewater to reduce local and regional flooding. In this piece, we offer a few realistic, efficient, and reasonably priced uses for microcontrollers in international investments that are appropriate for modest homes and communities right now.
Research, design and manufacture a prototype of solar panel cleaning system via WiFi
Authors: Phu Huynh Minh , Nguyen Thanh Tung , Diu Ngo Thi Ngoc
Published: November 2024

This paper presents research of design and manufacturing a prototype of solar panel cleaning system in Vietnam. The 2D and 3D design of this prototype is also shown in this study. The device is used to clean dust accumulated in the face of solar panels so that it can help for enhancing power efficiency of solar panels. The prototype can be controlled manually or automatically via WiFi based on options of control system. An ESP8266 NODEMCU board is used in the hardware of the controller so that it can connect to WiFi, control motors and traveling of the device. An app is set based on Blynk app to control the system via WiFi. Operators can control the system everywhere with WiFi or 5G connection. The device can help to remove dust on solar panels and enhance the power generation efficiency, reduce time, labor, keep safety for cleaning solar panels compared with manual cleaning method.
Compressive strength and life cycle analysis of green patch repair mortar made by Portland Pozzolan Cement
Authors: Astuti Pinta , Firjatullah Daffa , Argenta Ataya Vini , Purnama Adhitya Yoga
Published: November 2024

Portland pozzolan cement (PPC) is increasingly favored as an eco-friendly binder in green repair mortars due to its sustainability and performance. This research examines PPC in repair mortars, focusing on compressive strength, environmental benefits, and overall effectiveness. PPC, a blend of Portland cement and pozzolanic minerals, significantly reduces carbon emissions compared to conventional Portland cement. The pozzolanic reaction enhances the mortar's long-term durability, making it suitable for structural repairs. Experiments evaluated the compressive strength of PPC-based repair mortars. Various samples with different PPC contents were tested at different curing stages. Results showed that PPC mortars achieved compressive strengths equal to or surpassing traditional mortars. The addition of pozzolanic materials improved microstructural characteristics, boosting mechanical performance. A life cycle analysis (LCA) assessed PPC's environmental impact from raw material extraction to disposal. The LCA revealed notable reductions in carbon footprint, energy use, and emissions throughout PPC's lifecycle. The production phase benefits from reduced clinker use, and the operational phase sees enhanced durability, decreasing maintenance needs. This study demonstrates PPC's efficacy as a sustainable binder for repair mortars, offering both environmental and structural benefits. PPC use in repairs lowers environmental impact and ensures the longevity of structures, supporting its adoption in sustainable construction and promoting greener building materials.
Application of capacity sensor control in the organic waste bioconversion process to optimize standard time and work posture assessment
Authors: Setyaningrum Ratih , Ahmad Claudia Pitri , Ramdhani Safarudin , Arsiwi Pramudi
Published: November 2024

Organic waste can be processed into organic products to support agriculture. It is necessary to optimize the bioconversion technology system for processing organic waste into products with added value and selling value. This research aims to evaluate and optimize the stages of bioconversion using capacity sensor control, establish standard processing times, and assess worker posture. The data obtained directly is based on observations and interviews with workers at Repro MSMEs. The primary data taken are: data on the sequence of the maggot production process. Optimizing bioconversion using capacity sensor control. The next process is calculating standard time and assessing REBA work posture. The application of a smart bioponds design that uses capacity sensors is able to optimize standard time and posture assessment. Body posture of production process workers after improvement, namely in enumeration using a REBA score machine of 5 with a medium risk level and sifting using a REBA score machine of 3 with a small risk level.
Impact of Universitas Trunojoyo Madura anthem on student engagement and loyalty: A thematic analysis within Indonesian higher education
Authors: Saksono Suryo Tri , Endriyati Enni
Published: November 2024

University anthems are often considered symbols of institutional identity and pride. This study investigates how the Universitas Trunojoyo Madura anthem influences student engagement and loyalty, examining its role in fostering a sense of community and institutional pride, where the anthem potentially enhances student involvement by strengthening a sense of community and identification with the university. While previous research on university anthems has largely been confined to Western contexts, this study explores the effects of such cultural symbols within Indonesian higher education, focusing specifically on Universitas Trunojoyo Madura. The study employs thematic analysis of data collected from in-depth interviews and focus groups with students. An empirical normative approach is used to systematically gather and analyze qualitative data. Findings reveal that regular exposure to the anthem positively affects students' perceptions of the university, increases their attachment to university values, and enhances their loyalty. The anthem functions as a potent communication tool that promotes the university’s core values and reinforces students’ sense of communal identity. This suggests that cultural symbols can significantly enhance student engagement and loyalty. This study provides evidence that cultural symbols in higher education can enhance student engagement and loyalty and strengthen their relationship with the institution. These findings imply that universities can leverage cultural symbols, such as anthems, to bolster institutional identity and improve student engagement and loyalty.
An internet of things-based solar dryer: A conceptual design for seaweed cultivation in Madura
Authors: Agustiono Wahyudi , Wahyu Fiki Milatul , Findiastuti Weny
Published: November 2024

This research proposes a conceptual design for an Internet of Things (IoT)-enhanced solar dryer tailored specifically for seaweed cultivation on Madura Island, Indonesia. The study addresses the critical bottleneck in the traditional sun drying process, which is highly susceptible to weather variations, contamination, and inconsistent drying quality. Utilizing Fahmideh and Zowghi's IoT Development Framework, the research encompasses both the analysis and design phases. The analysis phase identifies the environmental conditions, operational requirements, and technical specifications necessary for optimal seaweed drying on Madura Island. Based on these insights, the design phase develops a comprehensive system architecture incorporating advanced IoT components such as sensors, actuators, connectivity solutions, and data management platforms. The proposed IoT-enhanced solar dryer aims to create a controlled and optimized drying environment, significantly improving drying efficiency and ensuring consistent product quality. By enabling farmers to meet increasing demand and achieve higher market prices for their produce, this innovative solution enhances the economic viability of seaweed farming on Madura Island. Ultimately, this research contributes to the sustainability and growth of Indonesia’s blue economy by promoting advanced agricultural practices and increasing the competitiveness of the seaweed industry.
The Philosophy of character house as islamic character building laboratory: A SWOT analysis
Authors: Musadad Ahmad , Nahidloh Shofiyun , Nasik Khoirun , Pujiati Tri
Published: November 2024

This research was conducted as an effort to solve the students’ problem related their cultural shock of Islamic values during face-to-face class after pandemic era caused of Covid 19. This study will investigate the formation of character house in Islamic faculty which provides distinctive Islamic values that are different from other institutions. The research method used is descriptive qualitative with data collection through observation, in-depth interviews, and documentation studies. SWOT analysis was used to identify internal and external factors that affect the effectiveness of Character House in achieving its goals. The results showed that the main strengths of the Character House lie in the comprehensive curriculum, full support from the faculty, and adequate facilities. However, there are weaknesses in the form of lack of active student involvement and suboptimal teaching resources. In terms of opportunities, the Character House has the potential to collaborate with various external institutions and utilize digital technology in the character building process. However, threats from the negative influence of social media and a less conducive external environment are challenges that need to be overcome. This study gives a new recommendation for character house by giving the strategic and prudent utilization of digital technology is proposed. It is expected that the Character House of the Islamic Faculty can be an effective laboratory model in shaping a generation with excellent Islamic character and contributing positively to society.
Implementation of green constitution in tourism development to support advanced Indonesia and SDGs
Authors: Wahyuliana Ida , Boemiya Helmy , Pawestri Aprilina , Nugroho Lucky Dafira , Melati Santi Rima , Choirisma  , Nanda Wella Mareta , Prasetyo Banu
Published: November 2024

The environment has a vital role in supporting the sustainability of human life. A good and healthy environment is an essential human right to fulfil because environmental quality affects health, economy, and tourism. The state has a responsibility to ensure a healthy environment through an effective legal framework. As the highest law in Indonesia, the constitution has a vital position in the rule of law. A constitution with a perspective on environmental sustainability (A Green Constitution) can be a solution to realizing a good and healthy environment to achieve environmentally sound sustainable development as one of the Sustainable Development Goals. The Green Constitution leads to a friendly and ecologically oriented constitution to regulate and protect environmental conservation efforts. This writing aims to analyze the implementation of the green constitution concept in tourism development to realize the goals of the SDGs. The research method used is normative juridical with a statute approach and conceptual approach. The results showed that the placement of the green constitution concept in the Indonesian constitution influences the enactment of policies oriented towards sustainability and protection of the environment, especially in the tourism sector, through the application of green tourism to foster a sense of love and care for the environment.
Effectiveness of animation media in enhancing empathy to prevent bullying behavior in madurese adolescents
Authors: Aini Kurrota , Rini Hapsari Puspita
Published: November 2024

Bullying is a major problem in schools, involving aggressive and intentional behavior against others. This study aimed to investigate the effectiveness of animated media in enhancing empathy among high school students as a preventive measure against bullying. The research was conducted at State Senior High School 2 Bangkalan–Madura, using a pretest-posttest control group design. Students with low empathy levels were chosen through purposive sampling. The empathy of these students was measured using The Perth Empathy Scale (PES) and the Interpersonal Reactivity Index (IRI). The study divided students into two groups: experimental group watched three animated videos about different types of bullying (physical, verbal, and relational), while the control group did not receive any intervention. The effectiveness of the animated videos was evaluated by comparing empathy levels before and after the intervention. The results showed that the experimental group had a slight increase in empathy, with an average N-Gain Score of 0.21, which is considered low. However, a statistical test showed a significant improvement in empathy in this group, with a Sig. (2-tailed) value of 0.001 < 0.05, indicating that the videos made a meaningful difference. The control group did not show any significant change. This study concludes that animated media can be an effective tool to enhance empathy among adolescents, although the effect was small. It suggests that animated videos could be used in educational and psychological practices to help develop empathy in adolescents, which is crucial for preventing bullying in schools.
Can Indonesia export vegetables? A feasibility study on the development of vegetables export to taiwan using a business partnership framework
Authors: Kurniyanto Ifan Rizky , Destiarni Resti Prastika , Fendiyanto Miftahul Huda , Pratami Mentari Putri
Published: November 2024

Indonesia has various vegetable potentials that can be developed as export commodities. Taiwan is one of the countries with high potential as a destination for vegetable exports. AIM is a company that develop its business by exporting vegetables. In its activities, AIM faces challenges in maintaining the quality, quantity, and continuity of vegetable supplies for export. This research aimed to develop a sustainable business model for vegetable exports from Indonesia to Taiwan, focusing on a partnership framework then consider a feasibility study of the business model was carried out using two scenarios were evaluated: self-planting by AIM and partnering with local farmers. The results of the study showed that the business model by partnering with farmers is the best scenario with a higher feasibility value. The study revealed that the partnership model with farmers resulted in a 1.21 times higher income for AIM compared to the self-planting scenario. It reflected that the success of the business model that involves partnerships with farmers in increasing the quantity, quality, continuity of exported vegetable products. The partnership model not only enhances AIM’s profitability but also ensures the sustainability and competitiveness of Indonesian vegetable exports.
Does sharia bank’s economic financing affect to gross regional domestic product? A research in East Java
Authors: Nasrulloh Nasrulloh , Azizah Fera Mashitoh Nur , Qomaro Galuh Widitya
Published: November 2024

Sharia banking plays a crucial role in channeling funds from surplus parties to those in need, potentially enhancing economic growth. This study investigates the impact of Sharia bank financing in the industrial processing and trade sectors on the Gross Regional Domestic Product (GRDP) growth of East Java. The research employs quantitative methods, utilizing time series data from 2016 to 2021, which includes Sharia bank financing data and GRDP data. Simple and multiple linear regression techniques are used to analyze the data. The results reveal that financing in both the industrial processing and trade sectors has a simultaneous effect on GRDP growth. However, when analyzed individually, only trade sector financing significantly influences GRDP growth, while industrial processing sector financing does not. The study concludes that although Sharia bank financing collectively impacts GRDP growth, its effects vary by sector. It is recommended that Islamic banks and government agencies focus on enhancing financing in sectors with a proven impact, such as trade, to better support economic growth. These findings underscore the importance of strategic financing in boosting economic growth, and collaboration between policymakers and financial institutions is essential to optimize the benefits of Sharia bank financing.
Multiclass classification of toddler nutritional status using support vector machine: A case study of community health centers in Bangkalan, Indonesia
Authors: Syakur Muhammad Ali , Putra Adz Dzikry Pradana , Rochman Eka Mala Sari , Mufarrohah Fifin Ayu , Husni  , Asmara Yuli Panca , Rachmad Aeri
Published: November 2024

Monitoring child development is vital in Indonesia due to its large child population and varying socio-economic and geographical conditions. Malnutrition adversely affects children's growth and development, with ongoing challenges in remote areas despite government efforts. This study addresses the need for accurate nutritional status classification to improve intervention strategies. This study applies the Support Vector Machine (SVM) classification method to analyze and classify nutritional status of toddlers using data from 473 samples collected from health centers in Bangkalan Regency. The classification includes categories such as Good Nutrition, Excess Nutrition, Obesity, and Risk of Excess Nutrition. The SVM model achieved an accuracy of 76% in predicting nutritional status.
Character assessment of hybrid maize candidates tolerant to drought stress
Authors: Amzeri Achmad , Suhartono  , Santoso Budi Sigit , Khoiri Syaiful , Umam Ahmad Syaiful
Published: November 2024

Preliminary tests were carried out to determine the characteristics of candidate hybrid maize varieties compared to other varieties. This research aimed to evaluate the characteristics of 46 candidate maize hybrids. The study was conducted in Kamal sub-district, Bangkalan district, from March to June 2024. The plant material used in this research was 49 maize genotypes (46 hybrid maize candidates and three maize varieties as comparison). This research uses a simple lattice design (7x7x2). The observation parameters in this research are plant height, ear length, days to 50% tasselling, days to 50% silking, harvest age, number of kernel rows, ear diameter, ear length, kernel length, kernel width, kernel thickness, 1000-kernel weight, and production per hectare. Data were analysed using the F-test; if the treatment had a significant effect, a further test was carried out using the HSD test (α=5%). The results showed that several plant characters from the 49 genotypes tested had significant differences except for plant height and ear height characteristics. Characteristics of production per hectare were significantly and positively correlated with kernel length. G1, G2, G7, G16, G31, G32, G35, G39, and G46 are selected hybrid maize candidates for further testing in variety release because they have early and medium harvest age and high production per hectare (above 5,000 kg per hectare).
Development of halal tourism policies in Indonesia after DSN-MUI Fatwa Number 108/DSNMUI/X/2016: Preliminary insights
Authors: Wiryanto Wisber , Walujo Djoko , Nuryana Mu’man , Adnan Asmadi , Hutapea Gustaria
Published: November 2024

This study examines the development and implementation of halal tourism policies in Indonesia, which have not fully matured due to a lack of comprehensive promotion and regulation. Therefore, it is considered important to research the development of halal tourism policies. This paper addresses a key research question: What is the progress of halal tourism policies in the formulation, implementation, and evaluation stages? The study aims to explore the development of halal tourism policies, focusing on their formulation, implementation, and evaluation stages. Following the Fatwa Number 108/DSN–MUI/X/2016 from the National Sharia Council-Indonesian Ulema Council (DSN-MUI), which provides guidelines for organizing tourism based on Sharia principles. This qualitative descriptive study uses secondary data collected through library research. Policy analysis techniques were applied to assess the formulation, implementation, and evaluation stages of halal tourism policies. The findings indicate that halal tourism regulations at both provincial and regency/city levels have not developed optimally, primarily due to the lack of comprehensive regional regulations. The study suggests that the government needs to reformulate policies to better support the development of halal tourism.
Impact of Social Determinants of Health on Follow-up for Neonates Requiring Neurocritical Care
Authors: Eiler Isabella , Boyd Lakeisha , Klitzman Melissa , Majmudar-Sheth Bittu , Stefanescu Beatrice M.
Published: November 2024

Objective This study aimed exploration of associations of social determinants of health (SDH) with attrition rates of neurocritical care graduates at follow-up.

Study Design An observational retrospective cohort study was conducted to evaluate the attrition rates of an infant's first appointment scheduled with the NeuroNICU follow-up clinic in correlation with SDH.

Results The “No Show” group was more likely to have unemployed (p = 0.014), black or multiracial mothers (p = 0.005), public insurance (p < 0.001), lower gestational age (p < 0.001), live further from the clinic (0.011), and a lower zip code-associated income (p = 0.008). After controlling for driving time, race, and education, infants who had private insurance were 2.268 times more likely to attend their follow-up visit when compared with infants who had public insurance (p = 0.014).

Conclusion A significant SDH-related difference existed among the “Show” and “No Show” groups. Identifying these factors during neonatal intensive care unit (NICU) admission can facilitate targeted support for families while inpatient and promote improved outpatient follow-up.

Key Points
Post–Liver Transplant Vascular Complications: Diagnosis and Endovascular Management
Authors: Patel Dhruv , Kalra-Lall Anouva , Gadani Sameer
Published: November 2024

With the increasing frequency of liver transplants occurring worldwide, vascular complications after transplant are now more frequently encountered in clinical practice. Thus, healthcare providers must be knowledgeable about these complications and the range of treatment options, including endovascular options, which are gaining in popularity. Vascular complications after liver transplant are typically categorized based on the anatomy involved with conditions classified as hepatic arterial, portal venous, or hepatocaval complications. This article discusses these common vascular complications, including their presentation, how they are diagnosed, and potential management options.
Liquid–vapor phase equilibrium and surface tension in parahydrogen
Authors: Khokhlov Yu. I. , Pashkov V. V. , Marinin V. S.
Published: November 2024

Thermodynamic perturbation theory is used to study the surface properties of liquid parahydrogen (p-H2). The effect of quantum features is considered by using a system of quantum solid spheres as the zeroth approximation. The temperature dependence of liquid and gas phase density, saturated vapor pressure, the density profile in the interphase and the surface tension of p-H2 are determined. All calculations were performed by an electronic computer.
Effect of vortex-line pinning on current-voltage characteristics of superconductors
Authors: Dorofeev G. L.
Published: November 2024

A system of equations describing the effect of pinning on the current-voltage characteristics of a type-II superconductor is derived within the moving-vortex lattice model. Expressions for current-voltage characteristics for superconductors with plane, linear, and point pinning centers are obtained as functions of the intensity and concentration of the pinning centers. It is shown that “threshold criterion” models cannot be validly applied to the calculation of the volume pinning force from centers extending in the direction of vortex-line motion. The conclusion is that within the model developed the nonlinear segment of the current-voltage characteristic of a specimen with plane pinning centers cannot be attributed to the pinning center distribution.
Preparation and study of high-stability Nb–NbxOy–Pb(ln) Josephson junctions
Authors: Dmitrenko I. M. , Bondarenko S. I. , Loboda N. M. , Churikov N. A. , Bezuglaya G. V.
Published: November 2024

Josephson tunnel junctions were prepared on Nb–NbxOy–Pb (with an admixture of 5% In). The tunnel barrier was produced by purification of anodic niobium oxide in a high-frequency plasma with subsequent thermal oxidation of a pure portion over a small area. This method yields long-life stable Josephson junctions with a low critical current. The height and the width of such a tunnel barrier are determined from the shape of its current-voltage characteristic.
Temperature dependence of antiferromagnetic resonance in the quasi-one-dimensional biaxial antiferromagnet CsMnCI3·2H2O
Authors: Anders A. G. , Petutun A. I. , Pereverzev Yu. V. , Zvyagin A. I.
Published: November 2024

We studied the temperature dependence of the parameters characterizing the antiferromagnetic resonance of the quasi-one-dimensional antiferromagnet CsMnCl3·2H2O. In comparison with those of three-dimensional antiferromagnets these parameters display certain distinctive features in their temperature behavior.
Localization of electron excitation in the quasi-one-dimensional antiferromagnet CsMnCI3·H22O
Authors: Bron R. Ya. , Eremenko V. V. , Matyushkin É. V.
Published: November 2024

The luminescence spectra and its excitation in a quasi-one-dimensional antiferromagnet CsMnCl3⋅2H2O are investigated in a broad temperature range (2−300 °K). The features detected in the spectra obtained are explained by localization of the electron excitation in CsMnCl3⋅H2O which is due to singularities in its crystal magnetic structure.
Magnitude of the effect of anomalous penetration of ultrasound along electron trajectories in a magnetic field in pure gallium
Authors: Shepelev A. G. , Ledenev O. P. , Filimonov G. D.
Published: November 2024

The frequency dependence of the effect of anomalous penetration of longitudinal ultrasound (for H⊥k∥b axis of gallium) is investigated experimentally at a temperature of 1.1°K in the frequency range from 30 to 150 MHz. An analysis of the processes taking place in the metal under anomalous penetration conditions and measurements of the electron absorption of ultrasound in superconducting gallium down to a temperature of 0.32 °K make it possible for the first time to estimate the “transport coefficient” of longitudinal ultrasound along electron trajectories: Aprec/Ama≈0.01.
Detection efficiency characterization for free-space single-photon detectors: Measurement facility and wavelength-dependence investigation
Authors: Virzì S. , Meda A. , Redolfi E. , Gramegna M. , Brida G. , Genovese M. , Degiovanni I. P.
Published: November 2024

In this paper, we present an experimental apparatus for the measurement of the detection efficiency of free-space single-photon detectors based on the substitution method. We extend the analysis to account for the wavelength dependence introduced by the transmissivity of the optical window in front of the detector's active area. Our method involves measuring the detector's response at different wavelengths and comparing it to a calibrated reference detector. This allows us to accurately quantify the efficiency variations due to the optical window's transmissivity. The results provide a comprehensive understanding of the wavelength-dependent efficiency, which is crucial for optimizing the performance of single-photon detectors in various applications, including quantum communication and photonics research. This characterization technique offers a significant advancement in the precision and reliability of single-photon detection efficiency measurements.
Self-learning path integral hybrid Monte Carlo with mixed ab initio and machine learning potentials for modeling nuclear quantum effects in water
Authors: Thomsen Bo , Nagai Yuki , Kobayashi Keita , Hamada Ikutaro , Shiga Motoyuki
Published: November 2024

The introduction of machine learned potentials (MLPs) has greatly expanded the space available for studying Nuclear Quantum Effects computationally with ab initio path integral (PI) accuracy, with the MLPs’ promise of an accuracy comparable to that of ab initio at a fraction of the cost. One of the challenges in development of MLPs is the need for a large and diverse training set calculated by ab initio methods. This dataset should ideally cover the entire phase space, while not searching this space using ab initio methods, as this would be counterproductive and generally intractable with respect to computational time. In this paper, we present the self-learning PI hybrid Monte Carlo Method using a mixed ab initio and ML potential (SL-PIHMC-MIX), where the mixed potential allows for the study of larger systems and the extension of the original SL-HMC method [Nagai et al., Phys. Rev. B 102, 041124 (2020)] to PI methods and larger systems. While the MLPs generated by this method can be directly applied to run long-time ML-PIMD simulations, we demonstrate that using PIHMC-MIX with the trained MLPs allows for an exact reproduction of the structure obtained from ab initio PIMD. Specifically, we find that the PIHMC-MIX simulations require only 5000 evaluations of the 32-bead structure, compared to the 100 000 evaluations needed for the ab initio PIMD result.