bluuebunny/crossref_metadata_2025 huggingface dataset:
A Dataset of Visible Light and Thermal Infrared Images for Health Monitoring of Caged Laying Hens in Large-scale Farming
Authors: Ma Weihong , Wang Xingmeng , Xue Xianglong , Li Mingyu , Yang Simon X. , Guo Yuhang , Gao Ronghua , Song Lepeng , Li Qifeng
Published: August 2024

Considering animal welfare, the free-range laying hen farming model is increasingly gaining attention. However, in some countries, large-scale farming still relies on the cage-rearing model, making the focus on the welfare of caged laying hens equally important. To evaluate the health status of caged laying hens, a dataset comprising visible light and thermal infrared images was established for analyses, including morphological, thermographic, comb, and behavioural as-sessments, enabling a comprehensive evaluation of the hens' health, behaviour, and population counts. To address the issue of insufficient data samples in the health detection process for indi-vidual and group hens, a dataset named BClayinghens was constructed containing 61,133 images of visible light and thermal infrared images. The BClayinghens dataset was completed using three types of devices: smartphones, visible light cameras, and infrared thermal cameras. All thermal infrared images correspond to visible light images and have achieved positional alignment through coordinate correction. Additionally, the visible light images were annotated with chicken head labels, obtaining 63,693 chicken head labels, which can be directly used for training deep learning models for chicken head object detection and combined with corresponding thermal infrared data to analyze the temperature of the chicken heads. To enable the constructed deep-learning object detection and recognition models to adapt to different breeding environ-ments, various data enhancement methods such as rotation, shearing, colour enhancement, and noise addition were used for image processing. The BClayinghens dataset is important for ap-plying visible light images and corresponding thermal infrared images in the health detection, behavioural analysis, and counting of caged laying hens under large-scale farming.
Spectrum and Incidences of Adverse Reactions Post-immunizations in Taiwanese Population (2014 – 2019): An Analysis Using the National Vaccine Injury Compensation Program
Authors: Lai Wan-Chun , Yang Chin-Hui , Huang Yhu-Chering , Chiu Nan-Cheng , Chen Chih-Jung
Published: August 2024

Background: Post-marketing surveillance is crucial for gathering data on vaccine reactogenicity, enhancing public trust in immunization, and promoting vaccine uptake. This study aims to characterize adverse events following immunization (AEFI) and estimate the incidence rates of adverse reactions (ARs) associated with vaccines included in Taiwan's Expanded Program on Immunization (EPI). The study utilizes data from Taiwan's Vaccine Injury Compensation Program (VICP). Methods: Vaccine injury claims submitted to the VICP between 2014 and 2019 were analyzed. ARs were defined as AEFIs adjudicated as ‘related’ or ‘indeterminate’ by the VICP committee. Data on the annual number of vaccine doses administered was obtained from the Taiwan CDC, which helped calculate AR incidence rates. Results: A total of 491 AEFI claims were reviewed, with 327 (66.6%) categorized as ARs. AEFIs were mainly associated with the Bacillus Calmette-Guérin (BCG) vaccine (43.4%) and the seasonal influenza vaccine (22.0%). Most EPI vaccines demonstrated low AR incidence rates, ranging from 1.68 to 13.6 per million doses, with the exception of BCG, which exhibited 162.5 ARs per million doses. Shifting BCG immunization from below 5 months to at least 5 months reduced osteomyelitis incidence significantly, from 41.4 to 7.9 (P = 0.0014), but increased abscess and lymphadenitis cases. Conclusion: EPI vaccines in Taiwan are highly safe, with minimal AR incidences in the general population. The BCG vaccine remains an exception, occasionally causing severe ARs like osteomyelitis. Adjusting the immunization schedule to an older age may mitigate some of these adverse effects.
Influence of Oviductal and Uterine Fluid Supplementation on the In Vitro Development and Quality of Sheep Cloned Embryos
Authors: Vazquez Avendaño José Roberto , Cortez Romero César , Ambríz García Demetrio Alonso , Rodriguéz Suastegui José Luís , Hernández Pichardo José Ernesto , Navarro Maldonado María del Carmen
Published: August 2024

Somatic cell nuclear transfer (SCNT) has great potential in the replication of high commercial value animals, threatened wild species for conservation purposes, and transgenic animals for biomedical purposes. However, SCNT has a low success rate, due to intrinsic factors of the technique itself, which will lead to low rates of embryonic development and epigenetic alterations in the cloned embryos. The objective of the present study was to evaluate the effect of OF-UF on the intracellular concentration of ROS, GSH, and the development of Ovis aries cloned and parthenogenetic embryos. The results did not show a beneficial effect on the development of parthenogenetic and cloned embryos at concentrations of 0.5% OF-UF. Furthermore, at 1% OF-UF, an adverse effect was observed in cloned embryos at the blastocyst stage and 2% OF and UF in parthenogenetic embryos in the first divisions. A decrease in ROS and GSH levels was observed in the parthenogenetic blastocysts treated with 1% OF-UF, but not in the clones, in which a higher concentration of GSH and a similar concentration of ROS was observed. No effect was observed of OF-UF on embryonic development and redox balance on sheep clone embryos by Handmade Cloning.
Markov Modulated Poisson Processes Modelling for M2M Heterogeneous Traffic
Authors: El Fawal Ahmad Hani , Ali MANSOUR , Abbass Nasser
Published: August 2024

Theoretical mathematics is a key evolution factor of Artificial Intelligence (AI). Nowadays, representing a Smart system as a mathematical model helps to analyze any system with under development and support different case studies found in the real life. Additionally, the Markov chain has shown itself to be an invaluable tool for decision-making systems, natural language processing, and predictive modelling. In an Internet of Things (IoT), Machine-to-Machine (M2M) traffic necessitates new traffic models due to its unique pattern and different goals. In this context, we have two types of modeling: 1) Source Traffic modeling used to design stochastic processes such that they match the behavior of physical quantities of measured data traffic (e.g., video, data, voice). 2) Aggregated Traffic modeling which refers to the process of combining multiple small packets into a single packet in order to reduce the header overhead in the network. In real world, the heavy challenge is striking a balance between the model accuracy and dealing with a massive number of M2M devices. On the one hand, due to their reliability, Source traffic models have a competitive advantage over Aggregated traffic models. On the other hand, their complexity is expected to make managing the exponential growth of M2M devices difficult. In this paper, we propose a Markov Modulated Poisson Processes (MMPP) framework to study M2M heterogeneous traffic effects as well as Human-to-Human (H2H) traffic using MMPP. To characterize the H2H and M2M coexistence, we use Markov chains as a stochastic process tool. Once using the traditional evolved Node B (eNodeB), our simulation results show that the network's service completion rate will suffer significantly. In the worst-case scenario, when an accumulative storm of M2M requests attempts to access the network simultaneously, the degradation reaches 8% as a completion task rate. However, using our "Coexistence of Heterogeneous traffic Analyzer and Network Architecture for Long term evolution" (CHANAL) solution, we can achieve a service completion rate of 96%.
Molecular Confirmation, Epidemiology, and Pathophysiology of Ehrlichia canis Prevalence in Eastern India
Authors: Chakraborty Ankita , Rath Prasana Kumar , Panda Susen Kumar , Mishra Bidyut Prava , Dehuri Manaswini , Biswal Sangram , Jena Manoj Kumar , Sahu Basanta Pravas , Paital Biswaranjan , Sahoo Dipak Kumar
Published: August 2024

The present study aimed to undertake a detailed investigation of pathological epidemiology and molecular confirmation of Ehrlichia canis among pet dogs in smart city Bhubaneswar, Odisha, a state in eastern India. A total of 178 dogs were screened for Ehrlichiosis on the basis of history, clinical signs, blood, and buffy coat smear examination, resulting in only 56 dogs (31.46%) screening positive. The epidemiological study recorded an increase in incidences among dogs less than one year of age (41%), males (68%), German Shepherds (25%), dogs more than 20 kg body weight (75%), summer months (55%) and dogs housed on pukka houses with exposure to the outside (59%). The majority of the infected dogs had a history of tick infestation (79%) at some point in their life. Clinical signs showed non-typical manifestations like fever, lethargy, diarrhoea, epistaxis, hind limb edema, and corneal opacity. Haematological studies revealed anaemia and thrombocytopenia along with neutrophilia with relative lymphopenia and monocytosis. A decreasing trend was observed in the levels of total protein and albumin with an increase in the levels of globulin, AST, ALT, BUN, and creatinine. The ultrasonography studies revealed hepatosplenomegaly along with hyper-echogenicity in various organs. Pro-teinuria and haematuria were consistent, along with the presence of bile salts in the urine of affected dogs. Molecular confirmation from n-type PCR data using Ehrlichia-specific primers targeting p28 gene (843 bp) was done, and the identified gene sequences submitted to NCBI databases have accession numbers OQ383671-OQ383674 and OP886674-OP886677. Ticks collected from dogs were identified morphologically through microscopy and scanning electron microscopy as Rhipicephalus sanguineus.
A Multi-epitope Protein for High-Performance Serodiagnosis of Chronic Chagas Disease in Elisa and Lateral Flow Platforms
Authors: Dias Evandro R. , Durans Andressa M. , Succar Barbara B. , Pinto Luiz André L. T. , Lechuga Guilherme C. , Miguez Mariana G. , Figueira-Mansur Janaina , Argondizzo Ana Paula C. , Bernardo Aline R. , Diniz Rafaela L. , Esteves Gabriela S. , Silva Edimilson D. , Morel Carlos M. , Borges-Pereira José , De-Simone Salvatore Giovanni , Junqueira Angela C. V. , Provance, Jr D. William
Published: August 2024

We developed a protein to rapidly and accurately diagnose Chagas disease, a life-threatening illness identified by the WHO as a critical worldwide public health risk. Complicating the current health situation are serological test limitations that contribute to most infected persons being unaware of their condition and therefore untreated. To improve diagnostic testing, we developed an immunological mimic of the etiological agent, Trypanosoma cruzi, by combining ten pathogen specific epitopes within the beta-barrel protein structure of Thermal Green Protein. The resulting multi-epitope protein, DxCruziV3, displayed high specificity and sensitivity as the antibody capture reagent in an ELISA platform with an analytical sensitivity that exceeds WHO recommendations. Within an immunochromatographic platform, DxCruziV3 showed excellent performance for the point of application diagnosis in a region endemic for multiple diseases, the municipality of Barcelos in the state of Amazonas, Brazil. In total, 167 individuals were rapidly tested using whole blood from a finger stick. As recommended by the Brazilian Ministry of Health, venous blood samples were laboratory tested by conventional assays for comparison. Test results suggest utilizing DxCruziV3 in different assay platforms can confidently diagnosis chronic infections by T. cruzi. Rapid and more accurate results will benefit everyone but will have the most noticeable impact in resource-limited rural areas where the disease is endemic.
Investigation of the Interaction between Poly(trimethylene Carbonate) and Various Alcohols
Authors: Arifianti Ayun Erwina , Chanthaset Nalinthip , Ajiro Hiroharu
Published: August 2024

The interaction of poly(trimethylene carbonate) (PTMC) with alcohols were investigated as a model for polymer blending with polysaccharides. While 1-butanol, 2-butanol, ethylene glycol, 1,2-cyclohexanediol showed almost no detectable interaction with PTMC at both of solution state with 1H NMR and solid states of FT-IR, glucose and cellobiose suggests slight change of spectral pattern in FT-IR analysis. The thermal properties of the blending samples of PTMC and these alcohols were also investigated. Although the blend of PTMC with 1-butanol, 2-butanol, and ethylene glycol did not influence on thermal degradation behaviors due to the low boiling points to maintain the structure at blend sample preparation, however, the blend with PTMC and glucose or cellobiose tend to increase thermal resistances and increase glass transition temperature, hence, showed an existence of interaction through hydrogen bonding.
Performance Evaluation of Biowashing Pilot Reactor for Remediation of Crude Oil-contaminated Soil of Kuwait
Authors: Chung Namhyun , Lee Deok Jae , Lee Sung Jong , Kang Guyoung , Park Minkoo , Joo Young Hoon
Published: August 2024

Bioremediation of crude oil-contaminated soil in Kuwait was evaluated using the biowashing pilot reactor system, whose components included 3 biowashing reactors; an oil separator, a hydrocyclone, and a dissolved air flotation. The biowashing pilot reactor system was fed with hemoglobin, a cheap and rich nutrient source containing carbon and nitrogen for bacterial growth. The initial total petroleum hydrocarbons (TPH) concentration was about 84,000 mg/kg soil. The initial TPH concentration decreased to 38,000 mg/kg soil on day 1. The degradation extents of TPH were 55%, 91%, and 96% on days 1, 3, and 5. The first-order rate constant for TPH degradation rate was 0.6820.0004/day. The initial unresolved complex mixture (UCM) concentration was 78,000 mg/kg soil. The degradation extents of UCM were 53%, 91%, and 98% on days 1, 3, and 5. Then, the degradation extents of individual components of total polycyclic aromatic hydrocarbons (PAH), alkylated PAH, and n-alkanes were measured for 5 days. 16S rRNA gene copy number was measured during 5 days for bacterial population estimation. Although there was a day delay in the accretion of the number of copies, the number increased from day 2 to day 5. The present study suggests that the biowashing pilot reactor system with a capacity of 200 L is efficient for TPH degradation.
Community-Based Adaptation to Climate Change: Core Issues and Implications for Practical Implementations
Authors: Selje Tom , Schmid Lena Anna , Heinz Boris
Published: August 2024

According to current forecasts, global heating is likely to exceed 2,8°C by the end of the century. This makes substantial adaptation measures necessary to secure a broad basis for livelihoods provision and the conservation of biodiversity. While the implementation of top-down and technocratic adaptation efforts is the majority, related adaptation shortcomings of socio-economic and ecological nature are becoming more and more apparent. Community-based adaptation (CBA) with its participatory, inclusive and needs-based bottom-up approach offers a promising and powerful alternative. This article uses a semi-systematic literature review approach to screen the current literature and identify core issues of CBA. Linking communality, locality, multidimensionality, power imbalances, transformative potential, localisation, the triad of adaptation metrics and adaptation with nature to corresponding potential actions for practical implementations provides a more holistic conceptualisation and broadens the horizons for further learnings, research and improved application.
Thermal Behaviour of LULC in the Urban Environment of the Spanish Mediterranean based on Landsat LSTs (1985-2023)
Authors: Montón Chiva Enrique , Quereda Sala José
Published: August 2024

The social, environmental and scientific significance of the urban climate has shaped a research stream at Universitat Jaume I’s Climate Lab. Previous research has found higher temperature trends at urban observatories. This study examines in depth the features of the urban environment and the thermal behaviour of land use and land cover and the changes which have taken place. The CORINE Land Cover database was used to delimit the primary Land Use Land Cover (LULC) and its changes between 1990 and 2018. Once this had been established, land surface temperatures (LSTs) between 1985 and 2023 were retrieved from the Landsat database available on the Climate Engine website. Analysis of the primary land cover showed the greatest thermal increase in artificial surfaces, especially in industrial, commercial and transport units which are common on their outskirts. These areas also have the highest temperatures on a monthly basis with the biggest differences occurring in the summer. The results are less clear for urban fabrics and agricultural areas due to their diversity and complexity. The study concludes that urban growth and its commercial and industrial environment has an undeniable effect on the temperatures recorded by urban observatories and enables better decision-making when setting up weather stations for a more detailed time study of the urban heat island (UHI).
Phytocannabinoids as Chemotherapy Adjuncts – a User Guide
Authors: Nahler Gerhard -
Published: August 2024

Simple Summary (148 words)
There is increasing evidence, that cannabinoids may play an important and dual role in tumour therapy. On one hand, they are cytotoxic against cancer cells with a low toxicity against normal, healthy tissues, and on the other, they may reduce typical side effects of chemotherapy. Publications on the main motive for use of cannabis (cannabinoids) by cancer patients show that patients' expectations exceed scientific facts. This article briefly describes results of combinations of cannabinoids with standard antineoplastic drugs on tumours and on side effects of tumour therapy. Although observations are still limited to animal studies with very few experiences in patients, preliminary data suggest that adjuvant cannabinoids may improve the survival of glioblastoma and perhaps of patients with other tumours. Benefits have also been reported about chemotherapy-induced nausea and vomiting, chemotherapy-induced peripheral neuropathic pain, loss of appetite and anxiety. Although results are promising, much more research is necessary.

Abstract (192 words)
Cancer, one of the leading causes of death worldwide, is on the rise. The high toxicity of conventional chemotherapy, often applied as drug cocktails, and resistance development limits the use of anti-neoplastic drugs and reduces the quality of life. With an easier access, a growing number of patients are using cannabis (cannabinoids) for alleviation of their symptoms, and in the hope of improving survival. This narrative article summarizes results observed with combinations of phytocannabinoids and standard chemotherapeutic agents in animal tumour models and in patients. Preliminary data suggest that standard antineoplastic agents combined with cannabinoids exert increased anti-cancer actions, reduce resistance development and improve survival. Respective experiences in patients are still scarce and concern small numbers with glioblastoma, and pancreatic carcinoma. Further benefits of combinations with cannabinoids have also been reported for chemotherapy-induced nausea and vomiting, loss of appetite (dronabinol), chemotherapy-induced peripheral neuropathic pain and anxiety (cannabidiol). In addition, phytocannabinoids, in particular cannabidiol, may play a role in the protection of organs such as heart, lung or kidney against chemotherapy-induced toxicity. Although results are promising, much more research is needed to determine whether positive experiences of adjuvant cannabinoids outweigh eventual risks.
A Snapshot of Nigeria’s Biodiversity Loss: Architectural Implications
Authors: Babalola Olatunde , Ndimako Onyedikachukwu , Nduka-Kalu Chidinma
Published: August 2024

Biodiversity loss poses a significant threat to ecosystems and human well-being globally, with Nigeria no exception. This article delves into the architectural implications of biodiversity loss in Nigeria, exploring the multifaceted factors contributing to this phenomenon and its ramifications for architectural practice. The discussion encompasses the adverse impacts of deforestation, pollution, and climate change on Nigeria's rich biodiversity and the challenges and opportunities they present for architects. Through examining case studies and examples, the article highlights innovative architectural projects that address biodiversity loss while promoting sustainable design principles. Moreover, it elucidates the importance of interdisciplinary collaboration between architects, biologists, and policymakers in developing effective mitigation and adaptation strategies. Ultimately, this article underscores the urgent need for architects to integrate biodiversity conservation into their practices and advocates for policy interventions that prioritise the preservation of Nigeria's natural heritage.
Synergistic Effects of Mycorrhizal Inoculation and Nutrient Management on Stevia Yield and Quality in Hydroponic Culture
Authors: Seyedmohammadi nasrin sadat , Barmaki Morteza , Davari Mahdi
Published: August 2024

Stevia rebaudiana Bertoni, a perennial herb, has garnered significant attention for its diterpene glycosides, natural sweeteners approximately 250 to 300 times sweeter than sucrose. These glycosides, concentrated in the plant's leaves, not only serve as a low-calorie alternative to traditional sweeteners but also exhibit notable antimicrobial properties, making Stevia a promising candidate for both the food and pharmaceutical industries.
In order to study the effect of mycorrhiza fungi on some growth characteristics of the stevia herb under inoculum conditions with Arbuscular mycorrhizal fungi(AMF)Arbuscular mycorrhizal fungi, a factorial experiment based on randomized complete block design with four replications was conducted at University of Mohaghegh Ardabili. The first factor was Imma & Angel and Novella nutrient solutions; the second was planting bed including leaf composts, vermicompost, and biolan (peat & perlite); and third factor involved inoculation with mycorrhiza (Glomus Musea). The control fungi indicated that the highest percentage of stevioside (16.45%) was related to vermicompost planting bed under conditions of invocation with mycorrhizal in harvest for the Imma and Angel nutrient solution. The maximum percentage of Rebaudioside A (7.57%) was related to vermicompost planting bed under conditions of invocation with mycorrhizal in harvest for the Novella nutrient solution. Further, the greatest levels of Rebaudioside C were obtained under the same conditions, with the difference that in the case of this glycoside, the leaf composts planting bed showed a higher percentage. Then, the highest leaf fresh weight, leaf dry weight, and number of main branches were obtained for the Novella nutrient solution in vermicompost planting bed under inoculation with mycorrhiza. Finally, Mycorrhizal inoculation in vermicompost beds with the Novella nutrient solution resulted in the greatest plant height. Conversely, the Imma & Angel nutrient solution in leaf compost beds, when combined with mycorrhizal inoculation, produced the tallest plants. The positive impact of AMF on plant growth was evident in the quantitative and qualitative improvements observed across various measured parameters.
Autonomous Underwater Pipe Damage Detection Positioning and Pipe Line Tracking Experiment with Unmanned Underwater Vehicle
Authors: Kartal Seda , Cantekin Recep Fatih
Published: August 2024

Underwater natural gas pipelines constitute critical infrastructure for energy transportation. Any damage or leakage in these pipelines poses serious security risks, directly threatening marine and lake ecosystems and potentially causing operational issues and economic losses in the energy supply chain. Due to the difficulty in detecting deterioration over time and regularly inspecting these submerged pipelines by divers, the use of unmanned underwater vehicles (UUVs) becomes crucial in this field. In this study, an underwater pipeline tracking experiment was carried out by providing autonomous features to a remote-controlled unmanned underwater vehicle. During the tracking of the underwater pipeline, damages were identified, and the locations of these damages were determined. The navigation information of the underwater vehicle, including orientation in the x, y, z axes (roll, pitch, yaw) from a gyroscope integrated with magnetic compass, speed and position information in the three axes from an accelerometer, and the distance to the water surface from a pressure sensor, was integrated into the vehicle. Pre-tests determined the necessary pulse width modulation values for the thrusters of the vehicle, enabling autonomous operation by providing these values as input to the thruster motors. In this study, the vehicle moves in 3D was achived by the vertical thruster of the vehicle was activated to maintain a specific depth, and applying equal force to the vehicle’s right and left thrusters forward movement, while differential force induced deviation angles. In pool experiments, the unmanned underwater vehicle autonomously tracked the pipeline as intended, identifying damages on the pipeline using images captured by the vehicle's camera. The images for damage assessment were processed using a convolution neural network (CNN) algorithm, which is a deep learning method. The position of the damage relative to the vehicle was estimated from the pixel dimensions of the identified damage. The location of the damage relative to its starting point was obtained by combining these two positional pieces of information from the vehicle's navigation system. The all study was performed within the Python environment.
Advanced Visitor Profiling for Personalized Museum Experiences Using Telemetry-Driven Smart Badges
Authors: Ivanov Rosen
Published: August 2024

This paper presents an innovative methodology for enhancing museum visitor experiences through personalized content delivery using a combination of explicit and implicit visitor profiling. The approach integrates Bluetooth Low Energy (BLE) smart badges to collect telemetry data, enabling precise visitor localization and dynamic group formation based on real-time proximity and shared interests. Initial profiling begins with OAuth registration and brief surveys, which is then refined through continuous tracking of exhibit interactions and time spent at each exhibit. An AI-driven system delivers content to individual and group profiles, fostering both personalized learning and social interaction. This methodology addresses the limitations of traditional profiling by adapting to visitor behaviors in real-time while maintaining a strong focus on data privacy and ethical considerations. The proposed system not only enhances engagement and satisfaction but also sets the stage for future advancements in personalized cultural experiences.
The Evolution of Permeability and Sensitivity Analysis of Gas-bearing Coal Under Cyclic Dynamic Loading
Authors: Liu Zhongzhong , Liu Yuxuan , Wang Zonghao , Huang Wentao
Published: August 2024

It is imperative to conduct experimental studies on the seepage behavior of gas-bearing coal under cyclic dynamic loading conditions. This paper focuses on the evolution of coal permeability under the combined effects of dynamic loading, static loading, and gas adsorption. The principal conclusions are as follows. (1) As the frequency and amplitude of dynamic loading increase, the development of pore and fissure structures within the coal body becomes increasingly pronounced during dynamic loading cycles, resulting in a gradual rise in permeability. Notably, as the coal approaches its yielding stage, the permeability can increase by up to 47%. (2) The permeability curve is divided into four regions: the compaction reduction zone, the oscillation zone, the gradual recovery zone, and the abrupt increase zone of failure. Ultimately, in the failure phase, the permeability surges dramatically, potentially reaching 4 to 5 times the initial permeability. (3) When the static load stage is constant, the rate of change in permeability of the coal under dynamic loading decreases with increasing adsorption amount. When the adsorption amount is constant, the rate of change in permeability of the coal under dynamic loading increases with the increase in static load stress stage, with the maximum increase reaching 75.2%. It can be concluded from the rate of change in permeability and the dynamic loading sensitivity coefficient that the permeability of the coal is highly sensitive to cyclic dynamic loading, with increased sensitivity associated with larger static load stages and decreased sensitivity with greater adsorption amounts.
REFLECTIVE MANAGEMENT BY ENTERPRISES OF THE CONDITIONS OF DIGITALIZATION OF BUSINESS PROCESSES IN THE INDUSTRIAL AND AGRICULTURAL SPHERES
Authors: Рererva Petro , Tkachova Nadiya , Shaulska Larisa
Published: August 2024

The article reveals the essence of reflexive management of reflexive control enterprises in industrial and agricultural spheres of activity in the conditions of their digitalization, proves the relevance of reflexive management at the current stage of information technology development, reveals the content of the leading principles and main components of reflexive management. It is proposed to define the essence of reflexive management as a management process that ensures subject-dialogical professional interaction of the relations of participants in enterprises and organizations, stimulation of reflexive thinking of managers and their active involvement in understanding their activities and their results. At the same time, the production team of the enterprise is considered as a set of persons who perform labor functions on the basis of an employment contract (contract). It was determined that reflective management can be applied to every manager in order to have a conscious and responsible attitude to his own work, guided by his activities based on reflection. It has been proven that the development and implementation of digital agricultural ecosystems based on national and regional digital platforms will allow creating the necessary innovation and investment environment, the presence of which is a key factor in the intensive development of the agricultural sector. It is noted that the use of digital innovations and information technologies in the activities of agricultural enterprises will allow to increase the overall level of efficiency against the background of reducing agricultural commercial risks of production and sale of agricultural products.
STRATEGIES FOR SUPPORTING ENTREPRENEURSHIP IN THE CONDITIONS OF THE GLOBAL COMPETITIVE MARKET TAKING INTO ACCOUNT THE ECONOMIC DEVELOPMENT OF THE STATE
Authors: Stepanenko Nataliya , Klimenko Olena , Lytvynenko Andriy
Published: August 2024

The article is devoted to the analysis and consideration of strategic areas of entrepreneurship support in the context of the modern global market environment. Focusing on the economic development of the state, the article discusses the key challenges and opportunities arising from globalization and competitive pressures. On the basis of analysis and research, specific strategies and measures aimed at supporting and stimulating entrepreneurial activity in the conditions of global competition are proposed. In particular, the article considers such aspects as the creation of a favorable business environment, financial support, infrastructure development, export support, skill improvement and innovation, as well as stimulation of regional development. The importance of entrepreneurship support strategies in the global competitive market, taking into account the economic development of the state, is analyzed and discussed. It is noted that in the conditions of rapid development of technologies and constantly changing consumer requirements, effective support strategies can contribute to innovation and stability in the global market environment. It also examines the challenges faced by businesses as a result of political, economic and technological change, as well as the role of small and medium-sized enterprises in driving economic growth and job creation. This article can be used by researchers, economists, government officials and practitioners interested in support issues entrepreneurship in the global market environment.
Tahfidz Entrepreneur Teaching System at Hidayatul Arifin Islamic Boarding School Sawocangkring Wonoayu Sidoarjo
Authors: Ikwandi Muhamad Ripin , Baihaqi Muhammad , Handayani Puspita , Hariyadi Ahmad
Published: August 2024

Hidayatul Arifin Islamic Boarding School (Hidar) Sawocangkring Wonoayu Sidoarjo is a boarding school that has 3 programs, namely the Entrepreneur Program, the Yellow Book Study Program, and the Tahfidz Al-Qur'an Program. The purpose of this study was to determine the Al-Qur'an tahfidz learning system at Hidayatul Arifin Islamic Boarding School and to find out the supporting and inhibiting factors of the tahfidz learning system. This research method uses a qualitative descriptive research method. In qualitative research, the results of written documentation, interviews and other sources such as: scientific journals, archival sources and documents are taken. The results showed that the tahfidz learning system at the Hidayatul Arifin Islamic Boarding School was to produce students who had an understanding of the yellow book, hafidz Al-Qur'an and Entrepreneurs. The tahfidz teachers who teach tahfidz at the Hidayatul Arifin Islamic Boarding School are hafidz who also understand the book of the Salaf. The learning media used by the Hidayatul Arifin Islamic Boarding School are print media and audio-visual media. Furthermore, the learning methods used by the Hidayatul Arifin Islamic Boarding School are the Bin-Nazhar method, the Talaqqi method, and the Poetry Method.
Effectiveness of Maternal Class Programme on Knowledge of Pregnancy Danger Signs
Authors: Kundaryanti Rini , Dinengsih Sri , Budiani Neti
Published: August 2024

The socialisation of the Pregnant Women's Class was conducted in 2008 but the implementation was in 2009, and it became one of the Health Office's programmes. Pregnant Mother Classes through face-to-face will provide opportunities for pregnant women to learn health issues such as health during pregnancy, childbirth, postpartum period, care for babies and birth certificates, and infectious diseases. This study was conducted to determine the effectiveness of the implementation of pregnant mother classes on knowledge of pregnancy danger signs at UPT Puskesmas Talegong Garut West Java 2023. This study used a pseudo-experimental design before and after in 2 groups with a sample of 72 respondents, consisting of 2 groups, namely 36 respondents in the intervention group and 36 respondents in the control group. Sampling method using random sampling technique. The research instrument used a questionnaire about the implementation of pregnant women's classes. The questionnaire has been tested to ensure its validity and reliability. Data were analysed with descriptive and Wilcoxon tests to determine the difference in knowledge scores between the 2 groups. There was a significant difference in knowledge score about pregnancy danger signs pretest and posttest in the intervention group (p-value 0.000). Conclusion: Maternal class is effective to improve the knowledge of pregnant women. Suggestion: It is expected that health services can improve maternal class services as an effort to prepare a healthy pregnancy.
Relevansi Pemikiran Ibn Khaldun Terhadap Sistem Presidential Threshold Di Indonesia
Authors: Khusnul Khotimah Nur
Published: August 2024

The aim of writing this scientific article is to find out about Ibn Khaldun's thoughts on the conditions for limiting the requirements for candidates for head of state and their relationship to the Presidential Threshold system in Indonesia. The presidential threshold is a rule established by an authorized institution which becomes a reference in presidential candidacy, this reference is in the form of a limit obtained from support from the DPR, support obtained in the form of votes (ballot) or results of obtaining seats (seat). These limits must be obtained by political parties or combinations of political parties in order to be able to nominate President in the General Election. The implementation of the presidential threshold is a policy that aims to create stability between the government and the legislative body so that the government does not encounter difficulties in taking policy direction. In Islamic teachings, majority power can be limited, so that popular sovereignty means the people's right to supervise the government to always remain within the limits outlined by the Shari'a. The people of Medina, who are the reference for the concept of an Islamic state, have a political idea called shura' (deliberation), namely an open space where anyone has the right to express their opinion in an area where the Shari'ah does not strictly limit it. Shura' exceeds democracy in terms of the availability of sharia which limits majority rule which allows the growth of authoritarianism under the guise of democracy. The concept of shura' is very relevant to democracy, especially in the aspects of substance, spirit of opposition to tyranny, and the principle of the majority. Through the concept of shura', the state in Islam must open up space for interaction for society as part of a mechanism for political control and participation as part of worship and amar ma'ruf nahi munkar. From the results of this research, it can be concluded that there is relevance between the Presidential Threshold and Ibn Khaldun's thoughts regarding one of the requirements for a person to be nominated as head of state.
Combination of a MIP3α-antigen fusion therapeutic DNA vaccine with treatments of IFNα and 5-Aza-2’Deoxycytidine enhances activated effector CD8+ T cells expressing CD11c in the B16F10 melanoma model
Authors: Fessler Kaitlyn , Zhang Jiaqi , Sandhu Avinaash K. , Hui Yinan , Kapoor Aakanksha R. , Ayeh Samuel K. , Karanika Styliani , Karakousis Petros C. , Markham Richard B. , Gordy James T.
Published: August 2024

Previous studies in the B16F10 mouse melanoma model have demonstrated that combining a DNA vaccine comprised of regions of gp100 and tyrosinase-related protein 2 fused to Macrophage-inflammatory protein 3-alpha (MIP3α) with recombinant Interferon alpha (IFN) and 5-Aza-2’-Deoxycytidine (5Aza) treatments resulted in significantly greater anti-tumor activity and immunogenicity in the tumor microenvironment (TME). This brief report details that the combination of vaccine with treatments IFN and 5Aza results in both the upregulation of genes expressing CD11c-interacting proteins and an increase in the TME of a distinct CD11c+ CD8+ T cell population. This cell population correlates with tumor size, is primarily comprised of effector or effector memory T cells, and has a more robust response to ex vivo stimulation as compared to CD11c- CD8+ T cells as measured by surface activation markers 4-1BB (CD137) and KLRG1 (Killer cell lectin-like receptor G1) and intracellular IFNγ production. In conclusion, this combination therapy results in greater presence of highly active effector CD8+ T-cells expressing CD11c in the TME that correlate with and are likely primary contributors to treatment efficacy.
WITHDRAWN: HHO-UNet-IAA: Harris Hawks Optimization based Novel UNet-Inception Attention Architecture for Glaucoma Segmentation
Authors: khan yusera , Banerjee Tathagat , Narula Gagandeep Singh , Wason Ritika
Published: August 2024

The full text of this preprint has been withdrawn by the authors due to author disagreement with the posting of the preprint. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
WITHDRAWN: Effects of Mineral pitch (Asphaltum punjabianum) supplemented diet on rohu (Labeo rohita): growth performance, immunological indices, antioxidant enzymes, and expression levels of immunity and growth- related genes
Authors: Khan Shawal
Published: August 2024

The full text of this preprint has been withdrawn by the authors as it was submitted and made public without the full consent of all the authors. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Mitochondrial DNA variants and their impact on epigenetic and biological aging in young adulthood
Authors: Mareckova Klara , Mendes-Silva Ana , Jani Martin , Pacinkova Anna , Piler Pavel , Goncalves Vanessa , Nikolova Yuliya
Published: August 2024

The pace of biological aging varies between people independently of chronological age and mitochondria dysfunction is a key hallmark of biological aging. We hypothesized that higher functional impact (FI) score of mitochondrial DNA (mtDNA) variants might contribute to premature aging and tested the relationships between a novel FI score of mtDNA variants and epigenetic and biological aging in young adulthood. A total of 81 participants from the European Longitudinal Study of Pregnancy and Childhood (ELSPAC) prenatal birth cohort had good quality genetic data as well as blood-based markers to estimate biological aging in the late 20. A subset of these participants (n = 69) also had epigenetic data to estimate epigenetic aging in the early 20s using Horvath’s epigenetic clock. The novel FI score was calculated based on 7 potentially pathogenic mtDNA variants. Greater FI score of mtDNA variants was associated with older epigenetic age in the early 20s (AdjR2=0.19, beta = 0.29, p = 0.009) and older biological age in the late 20s (AdjR2=0.23, beta = 0.24, p = 0.018). These effects were independent of sex, current BMI, and cigarette smoking. These findings suggest that elevated FI score of mtDNA variants might contribute to premature aging in young adulthood.
Towards high-resolution modelling of energy-intensive industries: An agent-based process diffusion approach with georeferenced industry sites
Authors: Neuwirth Marius , Fleiter Tobias , Hofmann René
Published: August 2024

The transition towards climate-neutral industry is a challenge, particularly in heavy industries like steel and basic chemicals. Existing models for assessing industrial transformation lack spatial resolution and exogenous assumptions about process diffusion fail to capture individual investment decisions. Consequently, the spatial interplay between industry transformation, energy availability, infrastructure availability, and the dynamics of discrete investments is inadequately addressed.
Here, we present an agent-based approach to model energy-intensive industries with high spatial resolution. The model considers individual industrial sites to simulate discrete investment decisions. The investment decision is modelled as a discrete choice among alternative technologies with their total cost of ownership as the main decision criterion. Process costs depend on the scenario-specific framework, policy instruments and local infrastructures. By integrating the choice algorithm into a stock approach that tracks individual vintage, the age of production units and their reinvestment cycle are considered the main restrictions on the dynamics of the transition.
The results provide insights into the spatial and temporal dynamics of industry transition under varying process and policy assumptions. The presented model can be applied to all regions, industry sectors and processes.
We conduct an exemplary case study for a transformation pathway of the European primary steel production.
A Novel Method for Maintaining Low and Constant Salinity in Ice During Desalination of Binary Mixtures Using Directional Top-Cooling Solidification
Authors: Kumar Narendra , Sarawagi Radhika , Kumar Virkeshwar
Published: August 2024

Water scarcity is a global issue worsened by population growth, climate change, and industry. Freezing-based desalination shows potential with lower energy needs and less environmental impact. However, current freezing methods produce ice with inconsistent salt levels, and new solutions are needed. This paper proposes a novel method inspired by Czochralski (directional top-cooling solidification) techniques, where motion is introduced during solidification to achieve uniform low salinity in ice. This study investigates the efficacy of directional top-cooling solidification techniques for desalination, contrasting them with conventional top-cooling methods. Three distinct setups were employed: Setup_1 utilized conventional top-cooling, while Setups 2 and 3 incorporated directional top-cooling solidification akin to the Czochralski method. The conventional top-cooling approach often leads to non-uniform salinity distribution within ice structures due to complex convection phenomena, whereas directional top-cooling solidification ensures uniform salinity throughout the ice volume. Experimental results demonstrate uniform salinity levels along the lengths of ice, measuring 0.34±0.04 wt% NaCl for 1.7 wt% NaCl-water solution and 0.7±0.05 wt% NaCl for 3.4 wt% NaCl-water solution. In multistaging desalination, this saline ice again melts and is further desalinized using the same leads to 0.1±0.05 wt% NaCl, which can be directly used for the drinking stage. Additionally, energy consumption analysis reveals directional top-cooling solidification’s potential for significant energy savings, with around a 5% reduction observed compared to conventional top-cooling methods for single-stage desalination.
Engineering of acyl ligase domain in NRPS to design fatty acid moieties of lipopeptides
Authors: Kobayashi Shingo , Aoki Rina , Kumagawa Eri , Kamata Kazuaki , Ago Hideo , Sakai Naoki , Hasunuma Tomohisa , Taoka Naoaki , Ohta Yukari
Published: August 2024

Cyclic lipopeptides (CLPs) produced by the genus Bacillus are amphiphiles composed of hydrophilic amino acid and hydrophobic fatty acid moieties and are biosynthesised by non-ribosomal peptide synthetases (NRPSs). CLPs are produced as a mixture of homologues with different fatty acid moieties, whose length affects CLP activity. Iturin family lipopeptides are a family of CLPs comprising cyclic heptapeptides and b-amino fatty acids and have antimicrobial activity. There is little research on how the length of the fatty acid moiety of iturin family lipopeptides is determined. Here, we demonstrated that the fatty acyl ligase (AL) domain determines the length of the fatty acid moiety in vivo. In addition, enzyme assays revealed how mutations in the substrate-binding pocket of the AL domain affected substrate specificity in vitro. Our findings have implications in the design of fatty acyl moieties for CLP synthesis using NRPS.