bluuebunny/crossref_metadata_2025_split huggingface dataset:
Manajemen Programming Siaran Radio Utari FM Cilacap
Authors: Arkana Kenza Pria Andrian  , Batubara Tegar Imaman Hakiki , Maulana Muhammad Tegar Firman 
Published: September 2024

Radio Utari FM salah satu radio yang berdiri sebelum era reformasi tepatnya pada tahun 1990 dan dapat bertahan hingga masa kini. Berlokasi di Cilacap, Propinsi Jawa Tengah. Penelitian ini bertujuan untuk mengetahui manajemen programming siaran Radio Utari FM. Penelitan ini berfokus pada manajemen programming, yang dimana program di Utari FM banyak melakukan perubahan dan perkembangan. Metode penelitian yang dipilih yakni deskriptif kualitatif. Hasil penelitian ini menemukan bahwa Radio Utari FM terus berkembang dengan mengikuti kemajuan teknologi dan adaptasi terhadap kebutuhan pendengar. Melalui manajemen yang efektif dan program yang beragam, radio ini dapat mempertahankan eksistensinya. Radio Utari FM melakukan adaptasi terhadap perkembangan media dan inovasi dalam program sangat penting untuk mempertahankan dan meningkatkan jumlah pendengar.
Identification of septicaemia causing bacteria in forest-based tropical tasar silkworm Antheraea mylitta D
Authors: G Manjappa , Prabhu I. G. , Baig M. M. 
Published: September 2024

Abstract

Tropical tasar Sericulture is an important livelihood avenue for tribal inhabitant of the North and Eastern Indian states. Tasar silkworm (Antheraea mylitta D.) is reared in natural condition i.e., outdoor on its preferred food plants i.e., Terminalia arjana and T. tomentosa. The outdoor rearing exposes silkworm to many diseases and prone to crop loss, this impacts significantly the livelihood of local inhabitants. To make the tasar sericulture more profitable, it is highly essential to provide effective disease management and constantly identify emerging silkworm pathogens. Keeping this in view, in present investigation SBP-1, a new bacterial pathogen was isolated from a naturally diseased second instar larvae, which is showing new symptoms and causing higher mortality. Pathogenicity of isolated strain was confirmed through Koch’s law. Pathogen was identified through 16S rRNA gene sequencing. Sequence analysis revealed that it has more sequence similarity (> 99%) with Serratia nematodiphila strain PDRT. The colony was tiny, raised, opaque, slimy, circular convex shaped with shining creamy colour on nutrient agar. Cells are gram negative, rod shape with round ends. SBP-1 strain mainly infect at young stage and causes high mortality up to 96% in second instar, however cause less mortality in later larval instars (11.1% in 3rd and 4.4% in 4th instar). SBP-1 produces septicaemia like symptoms when fed artificially to the healthy larvae. The median lethal concentration (LC50) of the pathogen was 0.676 × 105 cfu/ml. This is the first report on bacteriosis showing septicemia symptoms in tropical tasar silkworm and also the first report of S. nematodiphila strain SBP-1 causing septicaemia. Further studies are essential to design preventive and control measures against this highly virulent strain. Constant studies are required to identify unknown pathogens causing various bacteriosis symptoms in tropical tasar silkworm.
Experimental Validation of the Driving Force in a Spiral Drive System for Non-Blocking Pipe Detectors
Authors: Zhang Fenna , Yi tiantian , Ma Mingwei , Jing Chuankai , Wang Bin 
Published: September 2024

Abstract

This paper proposes a new spiral drive system that utilizes the impeller to absorb the kinetic energy of the fluid, which has many advantages, which has many advantages, such as stable operating speed, small required start-up flow rate, large pulling force, and strong barrier-crossing ability. In order to verify the practical feasibility of this assumption, this paper firstly constructs a theoretical framework based on momentum-leaf vein analysis, and analyzes the force on the drive system. Subsequently, the tensile force test is conducted on the test prototype through the experimental platform, and the motion trajectory of the prototype and related data are recorded. The experimental results show that the main power source of the drive method is the torque generated by the impeller, while the impact force of the airflow has relatively little effect on the drive system. What's more, the drive system is able to obtain more sufficient power, thus fully proving that the impeller-driven spiral walking drive method is completely feasible.
A Framework for EO-Based National Agricultural Monitoring (EO-NAM)- For the African Context
Authors: Nakalembe Catherine , Kerner Hannah , Zvonkov Ivan , Humber Micheal , Galvez Antonio , Makabe Esther , Venturini Sara , Becker-Reshef Inbal 
Published: September 2024

Abstract

Monitoring agriculture is imperative for food security and measuring progress toward United Nations Sustainable Development Goal 2: Zero Hunger. Earth-observations (EO) have unmatched potential to provide the required data at scale. However, without significant investments in human capacity and technology adoption through policy, realizing functioning and robust monitoring systems is unattainable for many developing countries, particularly in Africa, where investments are still limited. We present a framework for EO-based agriculture monitoring systems that emerged from implementing several national EO-based agriculture monitoring systems in Africa leveraging the best available data, systems, and existing country structures. A key conclusion is that implementation should be phased, and commitment and internal resources at the national level are necessary for long-term sustainability and adopting new advances.
Quantum Simulation of Oscillatory Unruh Effect with Superposed Trajectories
Authors: Tian Zehua , Cheng Xu , Li Yue , Zhao Xingyu , Hou Waner , Zhu Mingdong , Yan Lin , Rehan Kamran , Qin Xi , Lin Yiheng , Du Jiangfeng 
Published: September 2024

Abstract

The Unruh effect predicts an astonishing phenomenon that an accelerated detector would detect counts despite being in a quantum field vacuum in the rest frame. Since the required detector acceleration for its direct observation is prohibitively large, recent analog studies in quantum simulation platforms help in revealing various properties of the Unruh effect and thus to explore the not-yet-understood physics of quantum gravity. To further reveal the quantum aspect of the Unruh effect, analogous experimental exploration of the correlation with respect to the detector and the field, and the consequences for coherent quantum trajectories of the detector that without classical counterparts, are essential steps but currently missing. Here, we utilize a laser-controlled trapped ion to experimentally simulate an oscillating detector coupled with a cavity field. We observe joint excitation of both the detector and the field in the detector’s frame, matching with the coordinated dynamics predicted by the Unruh effect. Particularly, we simulate the detector moving in single and superposed quantum trajectories, where the latter case shows coherent interference of excitation. Our demonstration reveals properties of quantum coherent superposition of accelerating trajectories associated with quantum gravity theories that have no classical counterparts, and may offer a new avenue to investigate phenomena in quantum field theory and quantum gravity. We also show how a generalization of the method and results in this work may be beneficial for direct observation of the Unruh effect.
Crop Production Efficiency in Eastern Amhara, Ethiopia
Authors: Degfachew Tegegn Nigussie , Dilnesaw Melkamu Mada , Massa Malebo Mancha 
Published: September 2024

Abstract

Using sample data collected from 384 sample households in Eastern Amhara, North Shewa Zone, Ethiopia, and this study analyzes the technical, allocative and economic crop production efficiency of farmers as well as the key factors influencing it. A combination of descriptive and econometric methodologies were used to analyze the data. With the exception of oxen, all input variables (improved seed, cultivated land size, chemical fertilizer and labor days) had a positive and 1% significant effect on production, based on the maximum likelihood parameter estimates obtained from the stochastic frontier analysis. According to the analysis, crop-producing farmers' mean technical efficiency was 62.48%. This suggests that by operating at full technical efficiency, production in the study area can be raised by 35.2% at the current level of inputs and technology. Farmers in the research area had an average allocative efficiency of 86.47%, with ranging from 27.44–98.76%. This suggests that crop producer farmers can reduce their present input costs by 13.53% by using resources efficiently. The sample households' average economic efficiency was 54.11%, with the lowest and maximum efficiency ratings being 6.25% and 82.21%, respectively. The Tobit model's result indicated that technical efficiency was affected significantly by age of the head of the family, access to social networks, cultivated land area, irrigation involvement, agricultural experience, and alternative revenue sources. Additionally, the number of oxen, age of household head, access to social networks, agricultural experience, irrigation use, extension services, and other sources of income were significant variable impacting the economic efficiency of crop-producing farmers in the study area. The amount of the cultivated area and agricultural experience both have a major significant factors for allocative efficiency. According to the study's findings, smallholder farmers in Ethiopia's Eastern Amhara region may greatly increase the productivity of their crops by implementing new technology and better land management practices. This will improve their earnings and general standard of living, since farming is the community's primary source of livelihood. It is important that development organizations and governments back these initiatives aimed at raising the region's agricultural output.
Lightweight Tea Bud Detection Method Based on Improved YOLOv5
Authors: Zhang Kun , Yuan Bohan , Cui Jingying , Liu Yuyang , Zhao Long , Zhao Hua , Chen Shuangchen 
Published: September 2024

Abstract

Tea bud detection technology is of great significance in realizing automated and intelligent plucking of tea buds. This study proposes a lightweight tea bud identification model based on modified Yolov5 to increase the picking accuracy and labor efficiency of intelligent tea bud picking while lowering the deployment pressure of mobile terminals. The following methods are used to make improvements: the backbone network CSPDarknet-53 of YOLOv5 is replaced with the EfficientNetV2 feature extraction network to reduce the number of parameters and floating-point operations of the model; the neck network of YOLOv5, the Ghost module is introduced to construct the ghost convolution and C3ghost module to further reduce the number of parameters and floating-point operations of the model; replacing the upsampling module of the neck network with the CARAFE upsampling module can aggregate the contextual tea bud feature information within a larger sensory field and improve the mean average precision of the model in detecting tea buds. The results show that the improved tea bud detection model has a mean average precision of 85.79%, only 4.14M parameters, and only 5.02G of floating-point operations. The number of parameters and floating-point operations is reduced by 40.94% and 68.15%, respectively, when compared to the original Yolov5 model, but the mean average precision is raised by 1.67 percentage points. The advantages of this paper's algorithm in tea shot detection can be noticed by comparing it to other YOLO series detection algorithms. The improved YOLOv5 algorithm in this paper can effectively detect tea buds based on lightweight, and provide corresponding theoretical research for intelligent tea-picking robots.
The application of Rawls’ Theory of Justice in providing equitable free Health services to Geriatrics in Tanzania
Authors: Kayagula  , Lameck Wilfred 
Published: September 2024

Abstract

Everyone has the right to a standard of living and adequate for the health and well-being of himself and of his family, including medical care and necessary social services, although health services to elders are compromised. The study aimed to examine application of Rawls Theory of Justice in understanding the institutional arrangements, internal policy and legal framework, the established mechanisms from selected two local government authorities. The study used pragmatism paradigm with concurrent research design and a sample size of 300 respondents were selected through purposive sampling techniques and convenience sampling. A desk based review methods and field data collection approach using questionnaire and interviews was employed to collect data The study found that there was social welfare committee that deals with social matters though specific responsibilities to geriatrics' health services were not explained. Respondents from 30 interviews revealed that they don't know about free health accessibility to geriatrics. Additionally, the elders' councils are not formed as well as absence of social assistance. Older people are not clearly identified in the villages and there is no proper registration in the village executive offices in recent years and general meetings and poster announcement as mechanisms to sensitization which isn't effective.
Overexpression of TpGSDMT promotes high levels of glycine betaine and enhances the tolerance to salt and low-temperature in rice
Authors: Yu Jinde , Zhang Zihan , Zhao Ning , Feng Xiaofei , Zong Dan , Li Jing 
Published: September 2024

Abstract

Glycine betaine (GB) is an important osmoprotectant that enables plants to resist abiotic stresses such as salinity, low-temperature and drought. GB can be synthesized in many organisms, including animals, plants and bacteria. In higher plants, GB is synthesized through two-step oxidations of choline.However, rice, an important food crop, cannot synthesize GB. Recently, an enzyme , encoded by TpGSDMT gene finding in a diatom Talassiosira pseudonana, which can catalyze the three successive methylation steps of glycine to form GB. And this biosynthetic pathway for GB synthesis is also the simplest in living organisms. Here, TpGSDMT gene was isolated from Talassiosira pseudonana and cloned into overexpression vector pBWA(V)HS that contains CaMV 35S promoter, and then the constructed vector was introduced into rice(Oryza sativa L. ssp. Japonica).The GB content in transgenic rice that overexpression TpGSDMT was significantly increased , and the tolerance to salt and low-temperature was markedly enhanced in thses transformants.These results indicate the TpGSDMT gene can be used for genetic improvement of crop plants resistance to abiotic stress.
Remote Detection of Human Brain Reaction to Speech by AI Speckle Pattern Analysis
Authors: Segal Natalya , Zalevsky Zeev , Beiderman Yafim , Beiderman Yevgeny , Kalyuzhner Zeev , Agdarov Sergey 
Published: September 2024

Abstract

A fully remote, portable, contactless, affordable alternative to fMRI, EEG, and fNIRS for brain cortex analysis can accelerate innovation in understanding brain function across various fields. We leverage laser speckle pattern tracking technology, which has proven valuable in engineering and bioengineering, and empower it with AI to implement remote brain monitoring. This study investigated brain cortex responses to clear versus incomprehensible speech by projecting a laser beam over Wernicke’s area and analyzing the reflected speckle patterns with a convLSTM-based DNN classifier. The classifier could distinguish brain reactions in unseen subjects with a mean area under the ROC curve (AUC) of 0.94 when classifying at least 1 second of input speech. The ability to remotely distinguish brain reactions has practical applications in dynamic settings such as sports and real-life activities and for individuals with sensory sensitivities to scalp contact, helmets, or claustrophobic environments.
Thermoelectric Response of Graphite/Na 1.4 Co 2 O 4 Thermocouple on Paper
Authors: Badampudi Chandrababu , Anadkat Devang , Dungani Shreya , Pandya Anil , Sanchela Anup V. 
Published: September 2024

Abstract

There is a demand for high-performance, environmentally friendly, mechanically robust, and economically viable thermoelectric generators (TEGs), with potential applications in electronic and energy conversion units as well as practical preparation techniques. We demonstrate the solid-state based synthesis and thermoelectric behavior of a Graphite/Na1.4Co2O4 flexible thermocouple device that was printed on ordinary paper which acts as substrate. Four pair of TE legs fabricated with alternate graphite and Na1.4Co2O4 traces, yielding of electrical conductivity, Seebeck coefficient and power factor for graphite traces 3333 Ω-1m-1, 26.78 µVK-1 & 2.39 µWm-¹K-2 and Na1.4Co2O4 traces 331 Ω-1m-1, 67.97 µVK-1 & 1.53 µWm-¹K-2, respectively are noteworthy. Our thermoelectric generator is cost effective and ecofriendly which provides good output performance. The thermocouple device's exhibits output voltage of 31.0 mV, this work provides insight into the potential for flexible thermoelectric heading beyond.
Evaluation of Friction in Deep Drawing of DP600 Steel under Oil-Based and Water-Based Lubrication Conditions
Authors: Kalkan Hakan , Somay Mehmet 
Published: September 2024

Abstract

This study conducts a comprehensive investigation into the deep drawing process, with a focus on the crucial role of lubricants in influencing its performance. It evaluates the effects of five different lubricants, each with a unique formulation, on key aspects of deep drawing operations. Deep drawing, as an essential metal forming technique, involves converting flat sheet metal into complex three-dimensional shapes, where the choice of lubricant significantly impacts friction reduction, surface quality, and formability. Through a systematic series of experimental trials, the research aims to quantify and compare the effectiveness of these lubricants, supported by Finite Element (FE) analysis, providing valuable insights for industries involved in metal forming processes. The expected results will be useful to assist engineers and manufacturers in optimizing lubricant selection, thereby bridging the gap between theoretical knowledge and practical applications. This research contributes to a broader understanding of lubricant behavior in metal forming, potentially leading to advancements and further exploration in the field.
Multiscale fracture characterization method for transitional shale reservoir based on post-stack multi-attribute ant-tracking fusion and pre-stack wide-azimuth gathers AVAZ analysis
Authors: Peng Hongjie , Zhao Jingtao , Qiu Zhen , Zhang Qin , Liu Wen , Kong Weiliang , Gao Wanli , Sheng Tongjie , Li Wenyu , Yang Yugang 
Published: September 2024

Abstract

Transitional shale gas is an important area for oil and gas exploration. It has a wide distribution area and large resource potential, accounting for about 25% of the total shale gas resources in China. The method of reservoir fracture prediction by seismic attributes has been relatively established. However, seismic attributes are often limited by factors such as seismic data frequency and resolution. Characteristics of transitional shale reservoirs, such as complex combinations of lithologies, frequent lithological changes, low resolution and frequent frequency changes of seismic data and the existence of strong reflection shielding in coal seams, greatly affect the prediction of fracture. A single seismic attribute technique is difficult to provide a comprehensive and accurate prediction of fractures in transitional reservoirs. In this study, the discontinuity information of large fractures, fine fractures, and fractures shielded by strong reflections from coal seams are extracted by variance attributes, amplitude contrast attributes and amplitude of diffracted waves, respectively. The discontinuity features extracted by the three methods are tracked using ant-tracking technique and fused. Fractures in the work area are systematically characterized. The pre-stack wide-azimuth gathers is analyzed by the near-offset Rüger formula method. Anisotropic gradients and anisotropic directions are obtained. The prediction results of the fracture are interpreted and verified with assistance. A combined pre-stack and post-stack seismic multi-scale fracture prediction methodology is developed. The strong reflection shielding effect of the coal seam is effectively removed. The characterization of fractures in transitional shale reservoirs is improved.
A Data-driven Optimal Control Approach for A Class of Nonlinear SEIRS Epidemic Model
Authors: Chen Yadong , Cai Wenli 
Published: September 2024

Abstract

In this paper, we introduce the data-driven optimal control problem combined with a class of nonlinear SEIRS epidemic model. By extending the classical SEIR model framework, we formulate a nonlinear SEIRS epidemic model by considering the immune loss rate of recovered population and a nonlinear incidence rate with saturation effect. In the SEIRS model, the number of population in each compartment is unknown and the parameters are time-varying. Combined with the ODE system derived from theSEIRS model, we leverage real-time data to define the loss function and obtain a data-drivenoptimal control problem. Employing the generalized Pontryagin's Maximum Principle,we state the necessary conditions for optimal solution to the data-driven optimal controlproblem. Futhermore, we meticulously devise an algorithmic framework, inclusive of detailed steps, to address this complex optimization task.We conduct numerical experiments using reported COVID-19 data, which enable us to estimateunknown population numbers and obtain time-varying parameters within our SEIRS model.The results of numerical experiments validate the effectiveness and rationality of our algorithm. Ultimately, by controlling the growth of the number of infected population and dead population over the subsequent 30 days, we obtain the temporal evolution trend of key parameters. Notably, our findings emphasize the strategic importance of reducing both the effective contact rate and the immune loss rate as effective means to control propagation of epidemics. This conclusion, rooted in our data-driven approach, offers a fresh perspective on epidemic control strategies.