bluuebunny/crossref_metadata_2025 huggingface dataset:
Poesis, God, and the Connectedness of All Beings
Authors: Solanki Tanvi
Published: January 2024

The article examines the significance of J. G. Herder's analogical thinking in the history of comparative practices. It shows how Herder's comparative method, of positing one phenomenon as another in its own singular and inimitable manner, emerges from his concept of God and nature as informed by Baruch Spinoza, as well as his study of scientific and cultural phenomena, including the active mechanisms of poesis as sensory perception. While Herder's concept of comparison and his analogical practices influenced prominent thinkers contemporary to him such as J.W. Goethe, the specificity of his comparative method has been overlooked by scholars past and present, such as Michel Foucault, as Herder's approach resists assimilation in histories of comparativism centered on nineteenth-century projects of comparison. Yet his outlook on the tension between difference and identity offers fresh insight into relations between distinct cultures and entities without effacing their particularity or placing them in static hierarchies. Herder's comparative method provides new perspectives on contemporary debates on the benefits of and dangers of historical analogies.
Owning Bodies, Owning Lands
Authors: Greer Allan
Published: January 2024

This article presents a broad and comparative examination of property formation in the French and English plantation colonies of the Caribbean and the southern North American mainland. It considers the connections between claims to exclusive control over human beings and claims to portions of the earth's surface. In the two early modern empires, planters pushed consistently and successfully to remove social, legal, and ecological constraints that limited their full control over their human and terrestrial property. Moreover, they insisted on legally fusing fields and workers, assimilating slaves to the category of real estate for purposes of inheritance and legal liability for debt. By the mid-eighteenth century, the French and British colonies had developed precociously modern capitalist property forms. In the Age of Revolutions, ideologues from plantation colonies, such as Thomas Jefferson and Michel-René Hilliard d'Auberteuil, emerged as radical advocates of absolute private property rights.
Postcolonial Studies Meets Global History
Authors: Hendrickson Burleigh
Published: January 2024

In the aftermath of the French Revolution, Georg W. F. Hegel labeled it a “world-historical” event. Just a few decades later, Karl Marx was equally fascinated by this Revolution, contributing to the notion that it served as a global turning point that would bend European society toward a post-feudal, modern world. Though scholars of postcolonial studies have long scrutinized these nineteenth-century thinkers’ narratives of progress, they played a large part in cementing the French Revolution's place in world history. Scholars of French studies have recently challenged long-held notions of French exceptionalism. This article explores the relationship between postcolonial studies and global history, both tenuous and complementary, as they relate to the emerging field of global French studies. Providing a reading of these intersecting methods in the historiography of both the French Revolution and 1968 in France, I contend that postcolonial studies is a form of global history.
Behavioural Training and Self-Care Skill Development in Early Childhood Down Syndrome in Jordan
Authors: Aladwan Saida Quftan Abdelaziz
Published: January 2024

This study evaluated a behavioural theory-based training program aimed at improving self-care skills in early childhood Down Syndrome (DS) patients in Jordan. A quasi-experimental research approach involving 36 children aged 3-6 years from special education centres, the study randomly assigned participants to the training program or traditional care. Utilising the Self-Care Assessment Tool for Children with Down Syndrome (SCATC-DS), the research measured skills before and after intervention. Results showed significant improvements in the training group, particularly in Basic Hygiene, Dressing, Food Preparation and Eating, Indoor Navigation, and Emotional Expression. While Communication skills improved, they did not reach statistical significance. These findings suggest the program’s potential for enhancing self-care skills in young children with DS in Jordan, indicating a need for its integration in educational and therapeutic settings. Future research might focus on program duration, larger sample sizes, and enhanced communication training.
Effect of Bacille Calmette-Guérin for Non–Muscle-Invasive Bladder Cancer After Prostate Radiotherapy
Authors: Durant Adri M. , Lee Yeonsoo S. , Mi Lanyu , Faraj Kassem , Lyon Timothy D. , Singh Parminder , Tyson II Mark D.
Published: January 2024

BACKGROUND:

Little is known about the impact of prior prostate radiation therapy (RT) on the Bacille Calmette-Guerin (BCG) immunotherapy response in patients with non-muscle invasive bladder cancer (NMIBC).

OBJECTIVE:

We hypothesized that the damaging radiation effects on the bladder could negatively influence BCG efficacy.

METHODS:

Men with a history of high-risk NMIBC were identified within the Surveillance, Epidemiology, and End Results–Medicare database. All patients completed adequate BCG defined as at least 5 plus 2 treatments completed within 12 months. Patients were stratified into 2 groups: with prior RT for prostate cancer and without prior RT before the diagnosis of NMIBC. The primary endpoint was a 5-year composite for progression defined as disease progression requiring systemic chemotherapy, checkpoint inhibitors, radical or partial cystectomy, or cancer-specific death.

RESULTS:

We identified 3,466 patients with NMIBC, including 145 with prior RT for prostate cancer. Five-year progression occurred in 471 patients (13.6%). Patients with prior RT were older than patients without prior RT (77.0 vs 75.0 years; P < .001). The distribution of T stage was significantly different at diagnosis between the RT and non-RT groups (RT: Ta, 44.8%; Tis, 18.6%; T1, 36.6%; without RT: Ta, 40.9%; Tis, 10.8%; T1, 48.3%; P = .002). No difference in the risk of total progression was observed between patients with and without prior RT ( P = .67). Similarly, no difference was observed after multivariable adjustment (hazard ratio, 0.99; 95% CI, 0.61-1.58; P = .95).

CONCLUSION:

For patients with NMIBC who undergo adequate BCG treatment, prior RT for prostate cancer was not associated with worse 5-year progression-free survival.
Exploring the Value of MRI Measurement of Hippocampal Volume for Predicting the Occurrence and Progression of Alzheimer’s Disease Based on Artificial Intelligence Deep Learning Technology and Evidence-Based Medicine Meta-Analysis
Authors: Zhou Jianguo ,   for the Alzheimer’s Disease Neuroimaging Initiative, Zhao Mingli , Yang Zhou , Chen Liping , Liu Xiaoli
Published: January 2024

Background: Alzheimer’s disease (AD), a major dementia cause, lacks effective treatment. MRI-based hippocampal volume measurement using artificial intelligence offers new insights into early diagnosis and intervention in AD progression. Objective: This study, involving 483 AD patients, 756 patients with mild cognitive impairment (MCI), and 968 normal controls (NC), investigated the predictive capability of MRI-based hippocampus volume measurements for AD risk using artificial intelligence and evidence-based medicine. Methods: Utilizing data from ADNI and OASIS-brains databases, three convolutional neural networks (InceptionResNetv2, Densenet169, and SEResNet50) were employed for automated AD classification based on structural MRI imaging. A multitask deep learning model and a densely connected 3D convolutional network were utilized. Additionally, a systematic meta-analysis explored the value of MRI-based hippocampal volume measurement in predicting AD occurrence and progression, drawing on 23 eligible articles from PubMed and Embase databases. Results: InceptionResNetv2 outperformed other networks, achieving 99.75% accuracy and 100% AUC for AD-NC classification and 99.16% accuracy and 100% AUC for MCI-NC classification. Notably, at a 512×512 size, InceptionResNetv2 demonstrated a classification accuracy of 94.29% and an AUC of 98% for AD-NC and 97.31% accuracy and 98% AUC for MCI-NC. Conclusions: The study concludes that MRI-based hippocampal volume changes effectively predict AD onset and progression, facilitating early intervention and prevention.
RNA Analysis of Circulating Leukocytes in Patients with Alzheimer’s Disease
Authors: Okinaka Yuka , Shinagawa Yoshiyuki , Claussen Carsten , Gul Sheraz , Matsui Ikuko , Matsui Yutaka , Taguchi Akihiko
Published: January 2024

Background:

One of the key symptoms of Alzheimer’s disease (AD) is the impairment of short-term memory. Hippocampal neurogenesis is essential for short-term memory and is known to decrease in patients with AD. Impaired short-term memory and impaired neurogenesis are observed in aged mice alongside changes in RNA expression of gap junction and metabolism-related genes in circulating leukocytes. Moreover, after penetrating the blood-brain barrier via the SDF1/CXCR4 axis, circulating leukocytes directly interact with hippocampal neuronal stem cells via gap junctions.

Objective:

Evaluation of RNA expression profiles in circulating leukocytes in patients with AD.

Methods:

Patients with AD (MMSE≧23, n = 10) and age-matched controls (MMSE≧28, n = 10) were enrolled into this study. RNA expression profiles of gap junction and metabolism-related genes in circulating leukocytes were compared between the groups (jRCT: 1050210166).

Results:

The ratios of gap junction and metabolism-related genes were significantly different between patients with AD and age-matched controls. However, due to large inter-individual variations, there were no statistically significant differences in the level of single RNA expression between these groups.

Conclusions:

Our findings suggest a potential connection between the presence of circulating leukocytes and the process of hippocampal neurogenesis in individuals with AD. Analyzing RNA in circulating leukocytes holds promise as a means to offer novel insights into the pathology of AD, distinct from conventional markers.
Neuroinflammatory Responses Occur in Brain Lesions During Alzheimer’s Disease: Postmortem Case Report
Authors: Belkhelfa Mourad , Bekrar Samy , Rezaig Lina , Beder Narimene , Touri Faiza , Yousfi Yamina , Nabi Hedia , Slimani Assia , Attal Nabila , Belarbi Ayed , Bessaha Madjid , Touil-Boukoffa Chafia
Published: January 2024

Background: Alzheimer’s disease (AD) is a progressive and irreversible neurodegenerative disorder. It is characterized by a gradual decrease in cognitive function and is considered a disorder in which the intensifying neuronal loss. The autopsy is considered the gold standard for the diagnosis of AD and non-AD dementia. Objective: Our study aims to clarify the involvement of neuroinflammation processes in brain lesions of AD. Methods: The defunct was admitted to the forensic medicine department of Issad Hassani Hospital (Algeria). In order to recover the brain, an autopsy was performed within 24 hours of death and then immediately fixed in formaldehyde to maintain structural brain integrity for histological and immunohistochemical analysis. Results: Our findings indicate the presence of tissue lesions in the specific brain regions: right middle frontal gyrus, right cingulate gyrus, right putamen and globus pallidus, right caudate nucleus, right hippocampus, inferior parietal lobule, left parahippocampal gyrus, and left hippocampus. Notably, there is a predominant occurrence of lesions: granulovacuolar degeneration, Hirano bodies, cotton-wool, and neuritic plaques. The causes of neurodegenerative processes are probably related to TNF-α, IL-1β, and TGF-β production and iNOS expression by the NF-κB activation pathway in the R-HP, inducing necroptosis. Conclusions: The occurrence of neuroinflammatory responses is linked to tissue lesions in AD. The production of inflammatory cytokines is the basis of this process, which ultimately leads to the necroptosis, which is triggered by neuroinflammation amplification. The inhibition of neuroinflammation by targeting TNF-α/iNOS could stop tissue damage, this may be a promising therapeutic pathway.
Ultra-broadband transmission absorption of the all-dielectric water-based metamaterial
Authors: Chen Zihan , Shen Zhaoyang , Liu Han , Shu Xiang
Published: January 2024

In this paper, a structurally simple transmissive all-dielectric metamaterial absorber is designed, fabricated and measured. The unit cell consists of photosensitive resin and water, which the water layers composed of rectangle loop, rectangular block and traffic circle. It achieves over 90% absorption of electromagnetic waves in the frequency range between 11.0 and 27.3 GHz. Meanwhile, three absorption peaks are located at 12.5, 18.4, and 26.0 GHz, which the absorptive are 97.4%, 98.3%, and 98.5%, respectively. In addition, the characteristics of the designed metamaterial reveal wide-incident angle absorption and polarization-insensitive properties. The experimental sample is measured by using the free-space method, and the experimental results are verified to be in well agreement with the simulation data. Observing the distribution of electric and magnetic fields at different resonance frequencies, the physical mechanism of the absorption is attributed to strong magnetic resonance. Therefore, the proposed metamaterial has potential for widespread use in the fields of civilian and military.
A semi-supervised learning approach for semantic parsing boosted by BERT word embedding
Authors: Bu Yanbin , Chen Ting , Duan Hongxiu , Liu Mei , Xue Yandan
Published: January 2024

In the modern world, structured and semi-structured knowledge bases hold a considerable amount of data. There-fore, people who are familiar with formal query languages should not be the only ones who can efficiently and clearly query them. Semantic Parsing (SP) is converting natural language utterances into formal meaning representations. The paper suggests a model for SP that uses a novel method of utilizing the Semi-Supervised Generative Adversarial Network (SS-GAN) to enhance the classifier performance. The proposed SS-GAN extends the fine-tuning of word embedding architectures using unlabeled examples in a generative adversarial environment. We provide a regularization strategy for addressing the mode missing problem and unstable training in SS-GAN. The main viewpoint is to use the extracted feature vectors from the discriminator. Hence, the generator produces outputs by aiding the discriminator’s learned features. A reconstruction loss is added to the loss function of the SS-GAN to drive the genera-tor to reconstruct outputs from the discriminator’s features, hence steering the generator toward actual data configurations. The proposed reconstruction loss improves the performance of SS-GAN, produces high-quality outputs, and may be combined with other regularization loss functions to improve the performance of diverse GANs. We employ BERT word embedding for our model, which can be included in a downstream task and fine-tuned as a model, while the pre-trained BERT model can capture various linguistic properties. We examine the suggested model using the WikiSQL and SparC datasets, and the analysis findings reveal our model outperforms its rivals. The findings from our experiments indicate that the need for labeled samples can be minimized, down to as few as 100 instances, while still achieving commendable classification outcomes.
Distributed data analytics for wireless sensor networks (WSNs) using fuzzy logic-based machine learning
Authors: Sharma Amit , Naga Raju M. , Hema P. , Chaitanuya Morsa , Jagannatha Reddy M.V. , Vignesh T. , Chandanan Amit Kumar , Verma Santhosh
Published: January 2024

Wireless Sensor Networks (WSNs) have gained significant attention in recent years due to their wide range of applications, such as environmental monitoring, smart agriculture, and structural health monitoring. With the increasing volume of data generated by WSNs, efficient data analytics techniques are crucial for improving the overall performance and reducing energy consumption. This paper presents a novel distributed data analytics approach for WSNs using fuzzy logic-based machine learning. The proposed method combines the advantages of fuzzy logic for handling uncertainty and imprecision with the adaptability of machine learning techniques. It enables sensor nodes to process and analyze data locally, reducing the need for data transmission and consequently saving energy. Furthermore, this approach enhances data accuracy and fault tolerance by incorporating the fusion of heterogeneous sensor data. The proposed technique is evaluated on a series of real-world and synthetic datasets, demonstrating its effectiveness in improving the overall network performance, energy efficiency, and fault tolerance. The results indicate the potential of our approach to be applied in various WSN applications that demand low-energy consumption and reliable data analysis.
Data-driven allocation of smart grid-connected system based on ant colony optimization algorithm
Authors: Liu Qi
Published: January 2024

In the era of advanced technology, integrating and distributing data are crucial in smart grid-connected systems. However, as energy loads continue to increase, practical implementation of these systems faces challenges in resource allocation and lacks efficient data collaboration. In this study, the ant colony optimization algorithm is further investigated for stochastic crossover systems and cluster nodes in intelligent path planning management. To improve the pheromone setting method in smart grid-connected systems, we propose an adaptive intelligent ant colony optimization algorithm called the Group Allocation Optimization Algorithm (GAOA). This algorithm expands the pheromone transmission rate of network nodes, establishes a multi-constrained adaptive model with data mining as the pheromone target, and analyzes the accuracy of resource allocation to import the optimal scheme for smart grid-connected systems. Through experimental results, we demonstrate that the optimized adaptive ant colony algorithm leads to effective improvements in grid-connected systems, pheromone evaluation, data throughput, convergence speed, and data load distribution. These findings provide evidence that the optimized ant colony algorithm is both feasible and effective for resource allocation in smart grid-connected systems.
EGQCY: A smart contract-based scientific big data system approach for incentive sharing and transaction on the cost of data quality
Authors: Yang Shuyi , Li Lusu , Feng Libo
Published: January 2024

Currently, scientific big data management is generally faced with the problems of scattered data resources, inconsistent data standards, and the inability to share and circulate data safely. Research personnel attaches great importance to whether sharing the first-hand property is secure under clear ownership and whether it can contribute to the large society. The isolation of the data management system is the obvious obstacle to collecting and managing across-disciplinary data. To a large extent, sharing and trading scientific big data is the primary purpose to realize the clarity of property rights, secure data sharing, and the value of the data assets step by step. We propose to construct a public platform for scientific big data management. The system is managed to unify and authorize the on-chain data, on which data sharing and trading is tracked throughout the process. Smart contracts are executed with vital functions and guarantee price matching in data transactions. We design the incentive mechanism which measures the incentive yield of data cost quality based on Evolutionary Game Theory and Data Quality Control Theory (EGQCY), considering how the cost of data quality performs in controlling and impacting the rational release of the incentive yields in the sharing and trading process. The experiments found that the design of incentive yield and incentive coefficients only significantly affected the transition from low-quality data to medium-quality data. Both parameters converged to fixed values as the cost of data quality increased.
Prognosis and enhancement of recovery in disorders of consciousness
Authors: Russell Mary E. , Hammond Flora M. , Murtaugh Brooke
Published: January 2024

Disorders of consciousness after severe brain injury encompass conditions of coma, vegetative state/unresponsive wakefulness syndrome, and minimally conscious state. DoC clinical presentation pose perplexing challenges to medical professionals, researchers, and families alike. The outcome is uncertain in the first weeks to months after a brain injury, with families and medical providers often making important decisions that require certainty. Prognostication for individuals with these conditions has been the subject of intense scientific investigation that continues to strive for valid prognostic indicators and algorithms for predicting recovery of consciousness. This manuscript aims to provide an overview of the current clinical landscape surrounding prognosis and optimizing recovery in DoC and the current and future research that could improve prognostic accuracy after severe brain injury. Improved understanding of these factors will aid healthcare professionals in providing optimal care, fostering hope, and advocating for ethical practices in the management of individuals with DoC.
Evaluation of orderliness of underground workplace system based on occupational ergonomics: A case study in Guangzhou and Chengdu metro depots
Authors: Li Jianna , Guo Bin , Du Zhoubo
Published: January 2024

BACKGROUND: An underground workplace (UGW) is a complex system with multiple subsystems that interact with each other. However, the research on UGW from a systemic perspective has not received due attention. OBJECTIVE: This study constructs an evaluation approach to the orderliness of UGW and systematically evaluates the UGW with Guangzhou and Chengdu metro depots as case studies. METHODS: First, the evaluation index system is established based on occupational ergonomics. Second, the system entropy model is constructed based on information entropy. Third, a dissipative structure judgment model is built based on the Brusselator. Fourth, the orderliness evaluation model is constructed based on information entropy and synergetics. RESULTS: The UGW of the metro depot has not yet reached the dissipative structure and is in a medium-order state. But the system is in the trend of orderly development. The entropy increase caused by the physical environment and health status is the main obstacle for the system to move toward order. The equipment configuration is an essential source of system negative entropy. The coordination between equipment configuration, health status, and physical environment is low, and that of work effectiveness, equipment aging and failure, and organizational environment is high. CONCLUSIONS: Equipment configuration cannot fully cope with the harsh physical environment and meet the needs of underground workers. Safety security equipment has more room for improvement. Humanized support facilities can introduce more negative entropy to the system. Organizational intervention can reduce the negative impact of adverse factors on the system.
Effect of Human Capital Development Policy on Staff Performance in Nigerian National Petroleum Corporation Limited (NNPCL)
Authors: Zakari Musa
Published: January 2024

The current study examines the Human Capital Development Policy as a tool for enhancing staff performance in Nigerian National Petroleum Corporation Limited. To achieve this purpose, several hypotheses were formulated to guide the study. For this purpose, several prior studies related to the variables were reviewed. A survey research design was adopted as a method to conduct this study. Precisely, a sample size of forty respondents was randomly selected for the assessment. A questionnaire method was used for the data collection, which was further analyzed by using regression analysis. The significance level of 0.05 was used for the statistical testing of hypotheses, which revealed the effect of policy implementation and employee job satisfaction in NNPCL. The Human Capital Development Policies and programs not only motivated the staff but also reflected better performance in the organization. Furthermore, this study recommended that Nigerian National Petroleum Corporation Limited (NNPCL) should conduct a thorough analysis of the current state of Human Capital Development Policies to identify other areas that require improvement. This assessment should involve evaluating the existing and new policies and practices, identifying gaps, and measuring staff performance metrics. Additionally, it was indicated that should develop a comprehensive human capital development strategy that aligns with the company's goals. This strategy should include training and development programs, mentoring and coaching initiatives, and performance management processes.
Liberalization in the Context of Democratization: Assessment of the January 2012 Fuel Subsidy Removal Protests in Nigeria
Authors: Luqman Saka , Arazeem Abdullahi Ali , Shade Adekeye Deborah , Goldpin Obah-Akpowoghaha Nelson
Published: January 2024

The decision by the Good Luck Jonathan-led regime to effect the removal of fuel subsidies on January 1st, 2012, prompted the most coordinated popular protests in Nigeria’s Fourth Republic. The subsidy removal and social protests it triggered had numerous socio-political implications. This paper examines the implications of the social protest on civic activism and political participation. The study adopts the qualitative research method. Data was derived from a combination of primary and secondary sources, which include news articles, opinion pieces, commentaries, editorials and press interviews published by Nigerian newspapers and sourced from their archives. It also utilized information sourced from official documents and reports published by governmental and non-governmental bodies. These materials were analyzed using the content analysis method. The study finds that it is essential for the State to engender citizen trust, given that trust is a core requirement for securing the legitimacy of the governed. The study also finds that the protests helped to rekindle the spirit of civic activism among Nigerians, especially the youth segment. This activism was largely aided by the deployment of digital tools as instruments for mobilization, coordination and communication in the protest movement. The article concludes that the subsidy removal protests had profound impacts on civic political activism, long thought to be dead among Nigerians.
Understanding Governance Policy Concerning Sustainability of Smart Cities in China
Authors: Bulla Olívia , Peneluppi J. Renato
Published: January 2024

The current study focused on a developmental approach to study sustainability and public administration in the smart cities of China. The concept was based on an analysis of how cities are being reinvented using data and new technology in urban settings to enable sustainable practices, while taking into account the best possible balance between managing environmental resources and managing urban and rural areas. In this context, the goal is to present the development of China’s so-called smart cities, considering the Chinese government’s plan to create a new phase of economic growth, sustainability, and greater regional integration, through institutional management, improving infrastructure, and protecting the natural resources with an emphasis on energy transition and innovation... At the same time, COVID-19 pandemic is considered to have intensified the global debate on sustainable development by highlighting the vulnerability of humans towards diseases, amid the culture of hyper consumption and climate change.
Establishing a Multidisciplinary Human Resources Development Institute Under Public-Private Partnerships
Authors: Vedhathiri Thanikachalam
Published: January 2024

After the globalization of the Indian economy in 1991, many multinational companies established state-of-the-art design and manufacturing operations in India. This gave rise to an acute need for upgrading the products of existing Indian companies. Initially, many engineering colleges offered training and development programs based on the vacant slots and the availability of well-accomplished senior faculty members. When the market competition increased, the companies couldn't find sufficient institutes to offer the needed training programs. Many countries have implemented a model called Public-Private Partnerships to establish institutes to undertake the training of engineers, manufacture goods, and offer services. This PPP model has been further explored and developed to offer needed training and development programs for the executives of companies in the industrial corridors and hubs. It is suggested to register this institute under the Societies Act 1860, and a Board of Governors has to be constituted. The stakeholders are the state and central governments, companies, higher education institutes, national research laboratories, private training companies, and NGOs. The advantages of the PPP model have been listed. The institute has to develop a business model for planning and collecting fees from the companies. The success of the model is based on the collaboration of all stakeholders.
Assessment of soil suitability for potato cultivation
Authors: Simakova Tamara Vladislavovna , Simakov Anton Vasil'evich
Published: January 2024

Abstract. The purpose of the study is to assess the suitability of soils for growing potatoes according to the requirements for the crop under study. Conduct a grouping of soil types in the study area according to fertility indicators. To form an optimization model in terms of fertility indicators relative to the requirements for the cultivation of potatoes. Methods. The object of the study is the territory of the northern forest-steppe of the Tyumen region. The studies were carried out on the basis of an analytical method using the following tools: at the first stage, the technology for creating a digital soil map of the South of the Tyumen region was carried out; at the second stage, a modeling method was used to develop an optimization model of soil fertility indicators; data of long-term research of the Department of Soil Science and Agrochemistry of the State Agrarian University of the Northern Trans-Urals. Scientific novelty. Work has been carried out to create a digital soil map of the south of the Tyumen region. 52 genetic types of soils were identified, the maximum area in the region falls on bog high-moor peat soils – 32.1 %, the minimum meadow-chernozem solonetsous and podzolized chernozems – 0.1 %. Taking into account the parameters of soil fertility, using the modeling method, an optimization model has been developed in the context of soil grouping by fertility. Results. The most favorable in terms of fertility for the cultivation of potatoes are the following types of soils - gray forest podzolized, dark gray forest solodized, ordinary solonetzic chernozems, podzolized chernozems, leached chernozems and meadow chernozem soils, since their initial fertility indicators are closer to the required conditions for potato cultivation. With regard to the content of nutrients in the soil, here it is necessary to take into account through laboratory studies. However, when selecting soils from the presented model, one can understand how much nutrients need to be added to the soil with fertilizers in order to provide optimal nutrition for potatoes.
Nuclear cytoplasmic maturation of Sus Scrofa Domesticus oocytes at ultralow temperatures
Authors: KUZMINA T. I.
Published: January 2024

Abstract. Vitrification of female gametes is the most important tool for solving the strategic tasks of cellular reproductive technologies in animal husbandry, veterinary medicine and biomedicine: replication of elite individuals (cloning, transgenesis), biodiversity conservation, organ xenotransplantation. The aim of this study was to evaluate the parameters of nuclear cytoplasmic maturation (chromatin status and mitochondrial activity) and developmental competence of donor porcine oocytes subjected to intra- (IOV) or extra-ovarian (EOV) vitrification and cultured in various maturation systems. Methods. Donor pig oocytes (6–8 months old) were vitrified extra- or intraovarially using cryoprotective agents (DMSO, ethylene glycol, trehalose, sucrose). The composition of cryoprotective agents was supplemented with 0.001 % highly dispersed silica nanoparticles (HDSns). Oocytes were thawed in trehalose solutions in TS-199 with 10 % of fetal bovine serum (FBS). Oocytes were cultured for 44 hours in media supplemented with granulosa cells (106 cells per ml of medium) and/or 0.001% of HDSns at 38.5 °C, in an atmosphere of 5 % CO2. Fertilization in vitro was carried out in accordance with the recommendations presented by us earlier [17. p. 17]. The functional activity of mitochondria and the status of chromatin in oocytes were assessed by double staining using MitoTracker Orange CMTMRos and Hoechst 33258 dyes. Results. The level of matured oocytes was 61 % at EOV and 29 % at IOV, and the level of cleavage embryos in EOV was in 11 % (31 % vs. 20 %, P < 0.05) higher than at IOV when HDSns with granulosa cells were added in culture media. The maximum indicators of the functional activity of mitochondria among devitrified oocytes were in the group of EOV oocytes have cultured in media supplemented with HDSns and granulosa cells (152 ± 14.9 μA). Scientific novelty. The protocols for intra- and extra-ovarian vitrification of porcine oocytes have been modernized. Addition to cryoprotective agents and culture media of HDSns and co-culture of devitrified oocytes with granulosa cells significantly increased the fertility rates of devitrified gametes.
Seasonal dynamics and growth rhythm of shoots of Salix ‘Bullata’ plants
Authors: Shavnin Sergey Aleksandrovich , Montile Andrey Andreevich , Tishkina Elena Aleksandrovna , Epanchinceva Ol'ga Vladimirovna
Published: January 2024

Abstract. The purpose is to identify infradian rhythms in the seasonal dynamics of apical growth of shoots of Salix ‘Bullata’ plants and to establish the features of morphogenesis associated with the existence of endogenous (genetic and hormonal) mechanisms for the occurrence of nonlinear changes, including fluctuations in the growth characteristics of shoots. Methods. A quantitative approach was used to study the dynamics of morphogenesis processes. There was carried out a comparative research of seasonal dynamics of velocities and accelerations of apical and radial growth of Salix ‘Bullata’ plants shoots, which differ in origin and location on the plant. Results. In the seasonal dynamics of the characteristics of apical growth of branching and plant formation shoots of Salix ‘Bullata’ plants there are observed infradian rhythms, similar to those identified for other willow species. These rhythms are most pronounced for the growth accelerations (about 5 maximums within 3.5 months). Seasonal dynamics of apical growth accelerations of two types of shoots are correlated and almost synchronous. Seasonal dynamics of speeds and accelerations of radial growth of the studied types of shoots are similar and differ from the seasonal dynamics of apical growth. The weak dependence of growth characteristics on weather conditions confirms the concept of the endogenous nature of the growth of plant shoots periodicity. Scientific novelty. The results complement the existing information on biological rhythms and processes of morphogenesis in woody plants. The growth of shoots of willows and, possibly, other species of woody plants has an oscillatory character. Seasonal dynamics of apical and radial growth are different. The occurrence of oscillations in the rate of shoot apical growth is mainly due to the processes of apical meristem development itself. Apparently, the oscillatory nature of shoot growth is the result of the superposition of several processes of different nature in the meristem tissues, including division, extension and differentiation of cells, and also the production and distribution of phytohormones. The results can be applied to the use and modification of methods of woody plants nursing – the grafting, the pruning, the rejuvenation and the vegetative propagation.
SISTEM AGRIBISNIS TALAS BOGOR (Colocasia esculenta L.) SERTA KONTRIBUSI TERHADAP PENDAPATAN KELUARGA DI DESA SEBOKOR KECAMATAN AIR KUMBANG KABUPATEN BANYUASIN
Authors: Handoko Handoko , Abubakar Rafeah
Published: January 2024

ABSTRACTThe purpose of this study was to determine the Bogor Taro Agribusiness System in Sebokor Village, Air Kumbang District in Banyuasin Regency and also to find out how big the contribution of Bogor taro farming to family income in Sebokor Village, Air Kumbang District, Banyuasin Regency. Data collection methods are interview observations and documentation. Data collection techniques are carried out by sharing the results of statements that have been made in the form of questionnaires to Bogor taro farmers in Sebokor Village, Air Kumbang District as respondents in the study. This study uses primary data obtained from the process of filling out the questionnaire statements and the analytical technique used is qualitative analysis techniques. The results of this study note that the Bogor taro agribusiness system in Sebokor Village includes 1. Subsystem for Procurement of agricultural infrastructure and facilities. 2. Farming subsystem. The average income obtained by Bogor taro farmers in this study is Rp. 18,666,250.,/Lg/Mt/ the planting period is 7 months and the contribution of Bogor taro business income to family income is 40.7%.ABSTRAKTujuan dari penelitian ini adalah untuk mengetahui Sistem Agribisnis Talas Bogor di Desa Sebokor Kecamatan Air Kumbang di Kabupaten Banyuasin dan serta untuk mengetahui Berapa besar kontribusi usahatani talas bogor terhadap pendapatan Keluarga di Desa Sebokor Kecamatan Air Kumbang Kabupaten Banyuasin. Metode pengumpulan data yaitu observasi wawancara dan dokumentasi, Teknik pengumpulan data yang dilakukan dengan cara membagikan hasil pernyataan yang telah dibuat dalam bentuk kuisioner kepada petani talas bogor di Desa Sebokor Kecamatan Air Kumbang sebagai responden dalam penelitian. Penelitian ini menggunakan data primer yang diperoleh dari proses pengisian pernyataan kuisioner dan teknik analisis yang digunakan adalah teknik analisa Kualitatif.  Hasil penelitian ini diketahui bahwa sistem agribisnis talas bogor di Desa Sebokor meliputi 1. Subsistem Pengadaan prasarana dan sarana pertanian. 2. Subsistem usahatani. Rata-rata pendapatan yang diperoleh petani talas bogor dalam penelitian ini yakni sebesar Rp. 18.666.250.,/Lg/Mt/ masa tanam selama 7 bulan dan besarnya kontribusi pendapatan usahaani talas bogor terhadap pendapatan keluarga sebesar 40,7%.
KINERJA PENGELOLA DAN RESPON ANGGOTA KOPERASI UNIT DESA (KUD) BUMI JAYA MENCAPAI RSPO (ROUNDTABLE ON SUSTAINABLE PALM OIL) DALAM MENINGKATKAN AKSES PASAR MINYAK SAWIT DI DESA BUMI HARAPAN KECAMATAN TELUK GELAM KABUPATEN OKI
Authors: Pratama Bima Anil Hakim , Batubara Mustopa Marli
Published: January 2024

ABSTRACTThe purpose of this study was to find out how the performance of the Bumi Jaya Cooperative Manager achieved RSPO. The response of the members of the Bumi Jaya Cooperative to achieve RSPO in Bumi Harapan Village. The method used in this research is a survey method. The survey method is a research method that is often used by novice researchers. The method used in this study uses two methods, the first is sampling is used for cooperative managers, namely the saturated sampling method (census), the saturated sampling technique is a sampling technique where all members of the population are used as samples. So with a sample of the population in the cooperative manager as many as 20 cooperative managers. Then the second method of sampling used for members of the Cooperative is the Simple Random Sampling method. Where the population of members of the Cooperative is 111 farmers and a sample of 30% is included in the members of the Cooperative, simple random sampling method is used for random sampling of the members of the Cooperative. The performance of the cooperative manager of the Bumi Jaya Village Unit achieved RSPO in Bumi Harapan Village, Teluk Gelam Sub-district, Ogan Komering Ilir Regency, getting quite good criteria from the responses of 20 Cooperative Managers with a score of 105.65. by 89% who are at the level of very accepting.ABSTRAKTujuan Penelitian Ini Adalah Untuk Mengetahui Bagaimana Kinerja Pengelola Koperasi Bumi Jaya mencapai RSPO Respon anggota Koperasi Bumi Jaya mencapai RSPO di Desa Bumi Harapan. Metode yang digunakan dalam penelitian ini adalah metode survey. Metode survey merupakan salah satu metode penelitian yang sering digunakan oleh para peneliti pemula. Metode yang digunakan dalam penelitian ini menggunakan dua metode, yang pertama penarikan contoh digunakan untuk pengelola Koperasi yaitu metode sampling jenuh (sensus), teknik sampling jenuh adalah teknik adalah teknik penentuan sampel dimana semua anggota populasi digunakan menjadi sampel. Maka dengan sampel populasi yang ada dalam pengelola Koperasi sebanyak 20 orang Pengelola Koperasi. Kemudian yang kedua metode penarikan contoh yang digunakan untuk anggota Koperasi adalah metode Simple Random Sampling (Acak sederhana).Dimana populasi anggota Koperasi 111 petani dan pengambilan sampel sebesar 30% yang termasuk dalam anggota Koperasi, metode simple random sampling  digunakan untuk pengambilan sampel pada anggota Koperasi secara acak. Kinerja pengelola Koperasi Unit Desa Bumi Jaya mencapai RSPO di Desa Bumi Harapan Kecamatan Teluk Gelam Kabupaten Ogan Komering Ilir mendapatkan kriteria cukup baik dari tanggapan 20 Pengelola Koperasi dengan skor 105,65Respon anggota koperasi Bumi Jaya dalam mencapai RSPO di kecamatan Teluk Gelam Kabupaten Ogan Komering Ilir sebesar 89% yang berada pada tingkat sangat menerima.
Analisis tingkat kesesuaian lahan dan finansial pembangunan tanaman energi kaliandra (Calliandra callothyrsus) di lokasi bekas tambang batubara PT Padangsubur Biomasa Kaltim
Authors: Edi Ahlang , Rujehan Rujehan , Ibrahim Ibrahim , Imang Ndan , Sardjono Mustofa Agung , Kristiningrum Rochadi
Published: January 2024

Metode analisis kesesuaian lahan, kelas kesesuaian lahan ditentukan oleh faktor fisik (karakteristik/kualitas lahan) pembatas terberat dalam menilai kelas kesesuaian lahan. Padangsubur Biomasa Kaltim, dari sisi iklim pada penanaman kaliandra merah (Calliandra calothyrsus) terdapat pada kelembapan udara dengan nilai 74,00%. Hal ini menyebabkan kesesuian lahan berada pada status kesesuian lahan S2 (Cukup Sesuai). Dari sisi media perakaran untuk penanaman kaliandra merah (Calliandra calothyrsus) dijumpai pada parameter kedalaman efektif. Adapun nilai kedalaman efektif <60 cm. kondisi ini menyebabkan kesesuian lahannya berada menjadi S2 (Cukup Sesuai). Dari sisi kondisi lahan untuk penanaman kaliandra merah (Calliandra calothyrsus) tidak dijumpai faktor pembatas. Kondisi ini menyebabkan kesesuian lahannya berada menjadi S1 (Sangat Sesuai). Kelayakan finansial pembangunan tanaman energi kaliandra dengan pola tanam monokultur dihitung berdasarkan uraian biaya dan pendapatan menggunakan kriteria Net Present Value (NPV), Benefit Cost Ratio (B/C) dan Internal Rate of Return (IRR) dengan discount factor (df) sebesar 10%, hasil perhitungan NPV sebesar Rp.20.544.612 (NPV>0), hasil perhitungan B/C diperoleh nilai sebesar 2,22 (B/C >1). Sedangkan hasil perhitungan IRR-nya diperoleh hasil sebesar 37% (IRR>i). Berdasarkan kriteria penilaian NPV yaitu suatu usaha dinyatakan layak apabila nilai NPV positif, B/C di atas 1 dan nilai IRR lebih besar dari Opportunity Cost of Capital.
Membangun distribusi biomassa di hutan alam Dipterokarpa
Authors: Siswanto Hari , Nugroho Rizky Wahyu , Ariyanto Ariyanto , Ruslim Yosep , Aquastini Dwinita , Pambudhi Fadjar
Published: January 2024

Gas rumah kaca menciptakan dampak yang besar terhadap perubahan iklim global, sehingga perlu upaya mitigasi untuk mengurangi dampak tersebut. Inventarisasi Hutan Menyeluruh Berkala bisa digunakan sebagai dasar pengukuran biomassa di atas pengukuran tanah. Provinsi Kalimantan Timur dalam program FCPF ini diminta menggunakan perhitungan emisi dan nilai ketidakpastian dihitung berdasarkan metode Monte Carlo. Sedangkan metode Monte Carlo sendiri membutuhkan informasi tentang distribusi biomassa, yang saat ini belum diketahui bentuknya. Penelitian ini bertujuan untuk 1) Menghitung jumlah biomassa pohon per hektar, dan nilai uncertainty 2) Membuat bentuk distribusi biomassa berdasarkan data plot IHMB. Penelitian ini menggunakan data sekunder dari pengukuran diameter IHMB dari PT INHUTANI UMH 1 Meraang Berau. Pengolahan data yang dilakukan adalah pembuatan distribusi diameter, lalu dilakukan perhitungan biomassa dengan menggunakan rumus alometrik. Selanjutnya penerapan distribusi normal dan distribusi lognormal pada data biomassa serta perhitungan nilai uncertainty. Berdasarkan hasil penelitian yang didapatkan dari 611 plot ukur nilai rata-rata biomassa yaitu 167,1 ton dengan total biomassa keseluruhan adalah 102.137,7 ton ha-1, dengan nilai uncertainty sebesar 7,5%. Hasil dua bentuk distribusi yang diuji berdasarkan bentuk visualnya, distribusi normal lebih baik dari pada distribusi lognormal.
Aufgedrängte Fürsorge
Authors: Müller Lucien
Published: January 2024

Darf der Staat einer Person in ihrem eigenen, wohlverstandenen Interesse Schutz und Fürsorge aufdrängen? Unter welchen Voraussetzungen ist ein «Schutz vor sich selbst» gerechtfertigt? Diese Habilitationsschrift widmet sich der komplexen und umstrittenen Paternalismusproblematik aus verfassungsrechtlicher Sicht. Nach Ansicht des Autors kann ein staatlicher Paternalismus nur dann zulässig sein, wenn bei der betroffenen Person ein Selbstbestimmungsdefizit vorliegt. Doch selbst ein an der Selbstbestimmung orientierter Schutz vor sich selbst ist keineswegs unproblematisch. Die Untersuchung setzt sich vertieft mit den Anforderungen auseinander, denen ein autonomieorientierter Paternalismus genügen sollte. Die Ergebnisse werden im Kontext aktueller Regulierungsansätze wie dem libertären Paternalismus und dem Nudging sowie an Beispielen aus dem Verwaltungsrecht, dem Strafrecht und dem Zivilrecht diskutiert.
Application of Making Moringa and Lemon Grass Tea to Reduce Hypertension in Denai Sarang Burung Village
Authors: Aulia Destanul , Kurniawan Z Teguh , Luthfiyyah Suci Haya , Hutasuhut Raihan Putri Dahlina , Azahra Siti , Deannova Alfito
Published: January 2024

A disease that has a high prevalence and reduces ` quality of life of sufferers is hypertension. Hypertension is also known as the silent killer, which sufferers often don't realize because there are no specific symptoms. Until now, hypertension is still a big challenge for Indonesia. The number of people with hypertension continues to increase every year and this disease is often found in primary health care. It turns out that in reducing hypertension, you can take advantage of plants that grow in the village which are rarely used by the local community, namely moringa leaf tea and lemongrass which grow along the area in the village near the bird's nest. The content of Moringa leaf tea with protein is two times higher than yogurt, vitamin A is seven times higher than carrots, potassium is three times higher than bananas, calcium is four times higher than milk, vitamin C is higher than oranges while lemongrass has a high citral content. capable of providing anti-inflammatory effects that are used to reduce hypertension