Effect of molybdenum on growth and nitrogen metabolism of Brassica parachinensis L. and Brassica integrifolia L. under drought stress

Molybdenum (Mo) is an essential trace element that plays a critical role in various physiological processes of plants. Drought stress poses a significant threat to plant growth, making it imperative to study the effects of Mo in mitigating its impact on Brassica parachinensis L. and Brassica integrifolia L. This study aims to investigate the influence of molybdenum on the growth and nitrogen metabolism of Brassica species under drought-stress conditions. The study delves into the physiological and biochemical responses of these plants to Mo supplementation to comprehend the mechanisms by which Mo enhances drought tolerance and nitrogen assimilation. The results revealed that Mo supplementation (150 g ha-1) significantly improves the growth and nitrogen metabolism of Brassica species under drought-stress conditions. In particular, the application of Mo under drought stress leads to a notable increase in yield, as indicated by the improvement in productivity from 3.41 to 4.25 (kg m-2) and 3.89 to 4.97 (kg m-2) in Brassica parachinensis and Brassica integrifolia, respectively. Furthermore, Mo supplementation enhances chlorophyll levels, thereby promoting efficient photosynthesis. Additionally, it positively affects the accumulation of soluble sugars, starch, and proteins, indicating improved nutrient assimilation and utilization in the plants. These findings suggest that Mo supplementation plays a crucial role in enhancing drought tolerance and nitrogen assimilation in Brassica species. The study highlights the potential of Mo as a valuable tool for improving crop productivity and resilience under drought-stress condition

Detection of Spoilage in Canned Pasteurized Milk Using the Radiographic Imaging Technique

After packed into sterilized containers with a closed and rigorous process, pasteurized milk has been ensured for its hygiene and safety factors. However, distortions can occur during storage and transportation, causing the container to open, allowing harmful microorganisms to enter and damage the product. This research proposed a radiographic imaging technique to detect and evaluate the spoilage of canned pasteurized milk. The X-ray images show that the milk cans, which were left open for three days at 300 K, indicated regions with abnormal density with the smallest detectable size from 100 µm or larger. Density heterogeneity would be clearer in the following days and depending on the sample. An algorithm was developed to identify spoilage products automatically with an accuracy of up to 100 % and a speed of 0.0057 s/product. This approach may be suitable for industrial scale to control the quality of dairy products

Dilaton thin-shell wormholes supported by a generalized Chaplygin gas

In this article, we construct spherical thin-shell wormholes with charge in dilaton gravity. The exotic matter required for the construction is provided by a generalized Chaplygin gas. We study the stability under perturbations preserving the symmetry. We find that the increase of the coupling between the dilaton and the electromagnetic fields reduces the range of the parameters for which stable configurations are possible.Comment: 14 pages, 6 figures. v3: typos correcte

Transport properties in Simplified Double Exchange model

Transport properties of the manganites by the double-exchange mechanism are considered. The system is modeled by a simplified double-exchange model, i.e. the Hund coupling of the itinerant electron spins and local spins is simplified to the Ising-type one. The transport properties such as the electronic resistivity, the thermal conductivity, and the thermal power are calculated by using Dynamical mean-field theory. The transport quantities obtained qualitatively reproduce the ones observed in the manganites. The results suggest that the Simplified double exchange model underlies the key properties of the manganites.Comment: 5 pages, 5 eps figure

Pengembangan Bahan Ajar Mandiri melalui Media Online untuk Meningkatkan Kemampuan Public Speaking

This study aims (1) to analyze the potential and conditions for learning, (2) to design Online Media by using Web Blog application as Public Speaking Practical Guide on the subject of Personality Development, (3) to develop the instructional media to increase learning independent and public speaking ability of students.The subjects of the research is the students of STBA Teknokrat who took Personality Development 2013/2014.Based on the results of the study concluded that online media was suitable as a substitute teaching materials. Media was built by using Web Blog applications and accessed online; this media was validated by media expert validation, material experts and expert curriculum developers. The evaluation of learning showed the difference scores on Cognitive were 47,4 on Pre-Test and 81 on Post-Test. The difference scores on Practice Test were 81 on Practice Test 1, 89 on Practice Test 2, and 93 on Practice Test 3.Penelitian ini bertujuan untuk (1) menganalisis potensi dan kondisi pembelajaran, (2) merancang media ajar dengan menggunakan aplikasi web blog berupa media online sebagai Panduan Praktikum Public Speaking, (3) pengembangan media ajar mandiri materi public speaking.Subjek tindakan pada penelitian ini adalah mahasiswa STBA Teknokrat yang mengambil mata kuliah Pengembangan Pribadi pada semester ganjil tahun ajaran 2013/2014. Berdasarkan hasil penelitian disimpulkan bahwa Media Online sebagai bahan ajar substitusi layak dikembangkan. Media dibangun dengan menggunakan aplikasi Web Blog yang diakses secara online dan validasi ahli media, ahli materi dan ahli pengembang kurikulum. Evaluasi hasil belajar dengan menggunakan Media Online menunjukkan perbedaan pada nilai rata-rata hasil uji kognitif Pre-Test sebesar 47,4 dan Post-Test sebesar 81. Juga terdapat perbedaan nilai rata-rata hasil belajar pada Uji Praktik tahap pertama sebesar 82, tahap kedua sebesar 89, dan tahap ketiga sebesar 93

Data-driven structural health monitoring using feature fusion and hybrid deep learning

Smart structural health monitoring (SHM) for large-scale infrastructures is an intriguing subject for engineering communities thanks to its significant advantages such as timely damage detection, optimal maintenance strategy, and reduced resource requirement. Yet, it is a challenging topic as it requires handling a large amount of collected sensors data continuously, which is inevitably contaminated by random noises. Therefore, this study developed a practical end-to-end framework that makes use of physical features embedded in raw data and an elaborated hybrid deep learning model, namely 1DCNN-LSTM, featuring two algorithms - Convolutional Neural Network (CNN) and Long-Short Term Memory (LSTM). In order to extract relevant features from sensory data, the method combines various signal processing techniques such as the autoregressive model, discrete wavelet transform, and empirical mode decomposition. The hybrid deep learning 1DCNN-LSTM is designed based on the CNN’s capacity of capturing local information and the LSTM network’s prominent ability to learn long-term dependencies. Through three case studies involving both experimental and synthetic datasets, it is demonstrated that the proposed approach achieves highly accurate damage detection, as accurate as the powerful two-dimensional CNN, but with a lower time and memory complexity, making it suitable for real-time SHM

Pola Kearifan Masyarakat Lokal dalam Sistem Sawah Surjan untuk Konservasi Ekosistem Pertanian

Tujuan penelitian ini adalah untuk mengetahui pola kearifan petani sawah surjan dalam mengkonservasi lahan pertanian dan hubungan pola kearifan petani sawah surjan dengan komponen-komponen ekosistem pertanian yang dapat dikonservasi. Metode penelitian yang digunakan adalah kuantitatif. Pengumpulan data dilakukan dengan menggunakan data sekunder dan angket. Data dianalisis secara deskriptif kuantitatif. Hasil penelitian dapat disimpulkan bahwa pola kearifan petani sawah surjan dalam mengkonservasi lahan pertanian adalah secara turun temurun, seringkali tanpa memahami makna atau tanpa sadar; dan hubungan pola kearifan petani sawah surjan dengan komponen-komponen ekosistem pertanian yang dapat dikonservasi adalah membantu menciptakan ekosistem pertanian yang lebih stabil dengan adanya keragaman tanaman yang ditanam, sehingga tidak mudah terserang hama dan dengan adanya diversifikasi hasil panen dapat memberikan keuntungan lebih bagi petan

Dengue epidemic in southern Vietnam, 1998.

A widespread epidemic of dengue hemorrhagic fever (DHF) occurred in southern Vietnam in 1998, with 438.98 cases/100,000 population and 342 deaths. The number of DHF cases and deaths per 100,000 population increased 152.4% and 151.8%, respectively, over a 1997 epidemic. Dengue viruses were isolated from 143 patient blood samples; DEN-3 virus was identified as the predominant serotype, although a resurgence of DEN-4 was noted

Competition between Kondo and RKKY correlations in the presence of strong randomness

We propose that competition between Kondo and magnetic correlations results in a novel universality class for heavy fermion quantum criticality in the presence of strong randomness. Starting from an Anderson lattice model with disorder, we derive an effective local field theory in the dynamical mean-field theory (DMFT) approximation, where randomness is introduced into both hybridization and Ruderman-Kittel-Kasuya-Yosida (RKKY) interactions. Performing the saddle-point analysis in the U(1) slave-boson representation, we reveal its phase diagram which shows a quantum phase transition from a spin liquid state to a local Fermi liquid phase. In contrast with the clean limit of the Anderson lattice model, the effective hybridization given by holon condensation turns out to vanish, resulting from the zero mean value of the hybridization coupling constant. However, we show that the holon density becomes finite when variance of hybridization is sufficiently larger than that of the RKKY coupling, giving rise to the Kondo effect. On the other hand, when the variance of hybridization becomes smaller than that of the RKKY coupling, the Kondo effect disappears, resulting in a fully symmetric paramagnetic state, adiabatically connected with the spin liquid state of the disordered Heisenberg model. .....