Miracle-dz/UniFAR-FTUs huggingface dataset:
10 MHz-Switching on GaN Trench CAVET up to 300 °C Operation Enabled by High Channel Mobility

High-frequency, up to 10 MHz, switching of normally-on GaN trench CAVETs was demonstrated using an on-wafer double pulse test (DPT) system, along with high-temperature switching up to 300 °C reported for the first time. By innovatively inserting a low-temperature (LT) GaN interfacial layer to inhibit Mg out-diffusion from p-GaN, a record-high field effect mobility of 1821 cm2/(<inline-formula> <tex-math notation="LaTeX">$\text{V}\cdot \text{s}$ </tex-math></inline-formula>) in a regrown AlGaN/GaN channel was confirmed from device transconductance characteristics, which enabled low-loss high-frequency switching capability of the fabricated device. CAVETs were effectively scaled up to 3-finger structures with reduced specific on-resistance (<inline-formula> <tex-math notation="LaTeX">$\text{R}_{\text {on,sp}})$ </tex-math></inline-formula> to 0.98 <inline-formula> <tex-math notation="LaTeX">$\text{m}\Omega \cdot $ </tex-math></inline-formula> cm2. The device was switched using DPT, showing low turn-off/on times of 2.6/4.8 ns at 1 MHz and 4.5/7.0 ns at 10 MHz switching frequency. The high channel mobility of CAVET not only facilitates robust 10-MHz switching at room temperature but also ensures effective switching functionality even under high-temperature conditions reaching up to 300 °C.
Individual tree measurements in a planted woodland with terrestrial laser scanner

Terrestrial light detection and ranging technology provides an accurate measurement of individual tree parameters that are essential for managing forest resources, modeling forest fires, planning forest operations, etc. This study aimed to measure individual tree parameters to model a single tree using terrestrial laser scanner (TLS) data. A high-resolution digital terrain model (DTM) was generated using point cloud data (2,800,430 points) to obtain the tree parameters. Next, the diameter of breast heights (DBH), tree heights, tree lengths, tree projection areas, and crown parameters were calculated using 3D Forest 0.42 software. In order to evaluate the capabilities of TLS data, estimated tree parameters were compared with the parameters obtained by field measurements. Regression analysis and paired sample t-test were performed to compare the DBH and tree height values estimated by TLS with those obtained from field measurements. We found a strong relationship between the field measurements and TLS estimates for DBHs (R2 = 0.99) with 1.65 cm root mean square error (RMSE) and tree heights (R2 = 0.98) with RMSE = 0.724 m. The paired Wilcoxon signed-rank test for DBH groups showed no significant difference (P = 0.7285 > 0.05), whereas according to the results of the paired sample t-test for the height groups, there were significant differences between tree heights (P = 0.015 < 0.05; t = -2.55). The results also indicate that TLS is an effective measurement tool to provide highly accurate and precise results for 3D modelling of tree structure parameters without cutting trees. TLS also has great potential to provide many individual tree attributes with high accuracy, which can be used for further evaluations in many forestry disciplines such as silviculture, nature conservation, forest management, and urban forestry.
The organo-mineral structure of coral skeletons : a potential source of new criteria for Scleractinian taxonomy

La presence d'une matrice glyco-proteique dans les polypiers de Madreporaires permet de developper une double ligne analytique. En premier lieu, la formation de surfaces enrichies en composes organiques, resultant de la periodicite du processus de biomineralisation, fournit, apres attaque enzymatique, une image tres precise des positions successives de l'epithelium secreteur. Ainsi, les transformations morphologiques des cloisons au cours de l'ontogenese peuvent etre reconstruites. Mais la caracterisation biochimique des matrices organiques peut egalement etre utilisee conmme outil taxonomique, pour verifier l'homogeneite des familles actuellement admises, aussi bien que pour estimer la distance phylogenetique entre les unites taxonomiques.
Making Use of Averaging Methods in MODELLER for Protein Structure Prediction

Recent advances in protein structure prediction, driven by AlphaFold 2 and machine learning, demonstrate proficiency in static structures but encounter challenges in capturing essential dynamic features crucial for understanding biological function. In this context, homology-based modeling emerges as a cost-effective and computationally efficient alternative. The MODELLER (version 10.5, accessed on 30 November 2023) algorithm can be harnessed for this purpose since it computes intermediate models during simulated annealing, enabling the exploration of attainable configurational states and energies while minimizing its objective function. There have been a few attempts to date to improve the models generated by its algorithm, and in particular, there is no literature regarding the implementation of an averaging procedure involving the intermediate models in the MODELLER algorithm. In this study, we examined MODELLER’s output using 225 target-template pairs, extracting the best representatives of intermediate models. Applying an averaging procedure to the selected intermediate structures based on statistical potentials, we aimed to determine: (1) whether averaging improves the quality of structural models during the building phase; (2) if ranking by statistical potentials reliably selects the best models, leading to improved final model quality; (3) whether using a single template versus multiple templates affects the averaging approach; (4) whether the “ensemble” nature of the MODELLER building phase can be harnessed to capture low-energy conformations in holo structures modeling. Our findings indicate that while improvements typically fall short of a few decimal points in the model evaluation metric, a notable fraction of configurations exhibit slightly higher similarity to the native structure than MODELLER’s proposed final model. The averaging-building procedure proves particularly beneficial in (1) regions of low sequence identity between the target and template(s), the most challenging aspect of homology modeling; (2) holo protein conformations generation, an area in which MODELLER and related tools usually fall short of the expected performance.
A practical approach to retrieving the finer areas of algal bloom in inland lakes from coarse spatial resolution satellite data

ABSTRACT Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) images have been used to monitor algal blooms in the open ocean, coastal waters, and inland lakes. However, it is difficult to obtain an accurate definition of algal bloom areas in inland lakes due to the spatial resolution of the generated images. This study developed a practical approach that uses a linear spectral mixing model with a moving window (LSMM), to obtain a finer algal bloom area. The approach analyses the differences in areas of algal bloom retrieved from MODIS images with 250 and 500 m spatial resolutions from 2012 to 2015 and synchronous VIIRS images with 750 m spatial resolution. Forty-two data sets with 126 satellite images were selected. The results showed that the average relative area difference (RAD) of algal bloom in the MODIS 500 m image was approximately 21.31% compared with the MODIS 250 m image and approximately 33.77% compared with the VIIRS image. A 5 × 5 window size was selected for the MODIS 500 m and VIIRS images. The results demonstrated that the approach can be successfully applied to MODIS 500 m and VIIRS images because the RAD significantly improved. The average RAD decreased to 9.39% in the MODIS 500 m image and to 12.84% in the VIIRS image. The relationship between the landscape of the algal bloom patch and the RAD showed that the performance of the LSMM method improved as the patch density (PD) increased from 0 to 2. When the perimeter-area ratio (PARA) is greater than 2 and the mean patch size (MPS) is less than approximately 5 km2, the LSMM method significantly improved the RAD. An independent validation demonstrated that the LSMM method developed for MODIS and VIIRS images can be successfully applied to other coarser-resolution spatial imageries such as Geostationary Ocean Color Imager (GOCI) images. The LSMM method is more effective than the other methods for determining the fragmented landscape of algal blooms.
Fulminant Hypoxic Hepatitis During Endurance Sport

Mathews Journal of Sports Medicine Fulminant Hypoxic Hepatitis During Endurance Sport Salem Bouomrani*,1,2, Nesrine Belgacem1, Maher Béji1,3 1Department of Internal medicine, Military Hospital of Gabes, Gabes 6000, Tunisia . 2Sfax Faculty of Medicine, University of Sfax, Sfax 3029, Tunisia. 3Tunis Faculty of Medicine, Tunis El Manar University, Tunis 1007, Tunisia. Corresponding Author: Salem Bouomrani, Department of Internal medicine, Military Hospital of Gabes. Gabes 6000. Tunisia, Tel: +00216 98977555; Email: salembouomrani@yahoo.fr
Developing Engineering Skills Through Project-Based Learning: An Arduino-Based Submersible Temperature and Depth Sensor

Collecting data in the ocean requires scientists to choose, use, and interpret the output of sensor-based instruments. With the increasing accessibility of do-it-yourself (DIY) technology, researchers are able to develop innovative and cost-​effective instruments with relative ease compared to just 10 years ago. As part of a project-based course to teach undergraduates and graduate students engineering skills that are useful in marine science, we developed an Arduino-based instrument to measure temperature and depth. By building, calibrating, and testing this instrument, students learn about sensors and circuits, are introduced to hardware and software design, and collect, analyze, and interpret their own data. More broadly, students learn principles of instrument design and develop problem-​solving skills.
Soldering in Dentistry: An Updated Technical Review

Introduction: The need to permanently join two or more pieces of metal using heat is a frequent condition in various fields of medicine such as dentistry. Welding, brazing and soldering are permanent joining techniques between different metals that require in-depth background knowledge in order to obtain predictable results. Aim: This review examines the different methods of joining metals using heat and their fields of application. Discussion: It is possible to create permanent metal joints in various phases of the creation of final products that will be used on the patient. In several cases, welds are also made directly by the manufacturer during industrial processing. In dentistry, dental laboratories perform complex welds mainly on dental prostheses and orthodontic appliances during the production process. It is also possible to obtain intraoral welding carried out by the clinician inside the patient’s oral cavity. Welding can be carried out using combustible gases, electric current, infrared light and laser light through different technical procedures which must be chosen according to the specific needs and the metals to be joined. Conclusions: It is useful for the dentist and dental technician to know the different welding methods, including those carried out in the factory by the manufacturer, to better understand the physical properties and mechanical resistance of the components marketed for the construction of prostheses and orthodontic appliances. The enormous variety of conditions in which those who practice welding can find themselves therefore presupposes in-depth knowledge in this field in order to apply the most suitable technique.
Isolation of a Halophilic, Bacteriorhodopsin-producing Archaeon, Haloferax larsenii RG3D.1 from the Rocky Beach of Malvan, West Coast of India

ABSTRACT Haloarchaea live in saline environments and require salt for their growth. The present study reports on the isolation of a haloarchaeal strain RG3D.1 identified as Haloferax larsenii using Sehgal and Gibbons medium with 3.42 M NaCl, from Rock Garden at Malvan in the West Coast of India. The rock type of Malvan Coast is correlated based on geological setting with the basal member of the Bababudan group placed at 2728 ± 102 million years ago (Ma). The haloarchaeal strain produced bacteriorhodopsin (BR) (0.137 g l−1) and generated electric potential of 49.2 mV when exposed to sunlight. Thus, this is the first report on the isolation of a haloarchaeon, Haloferax larsenii, from red rocky substrate and production of BR.
BACK-ARC BASIN SIGNATURES REPRESENTED BY THE SHEETED DYKES FROM THE MUSLIM BAGH OPHIOLITE COMPLEX, BALOCHISTAN, PAKISTAN

The sheeted dyke complex is about 1000 meter thick and overlies the mafic cumulate sequence of the Muslim Bagh Ophiolite Complex. This sheeted dyke complex is represented by four phases of metadolerites, the earlier phase shows compositional banding of hornblende and plagioclase. The second phase of metadolerite which cut the earlier phase neither shows foliation nor compositional banding. The third phase which cuts the above two phases has foliation and is relatively more mafic in nature. The final phase is represented by dykes which not only cut the above three phases but also to the plagiogranites. The middle part of sheeted dyke complex is intruded by numerous small bodies of plagiogranites (An 8-30). The pillow basalts are not found on top of the sheeted dyke complex. The petrochemical study of metadolerites show that they belong to low-K quartz tholeiite series. In trace elements chemistry they are enriched in LILE and depleted in HFSE relative to N-MORB, and their average Nb/Y, Zr/Nb, K/Rb, Ba/Zr, Ce/Ba, La/Sm, La/Ce and La/Nd ratios are more consistent with back-arc basin basalt relative to N-MORB or island arc basalts (IAB). Their LILE enriched N-MORB normalized patterns and moderately LREE enriched Chondrite normalized REE patterns are also consistent with back-arc basin basalts. It is further suggested that all the Tethyan ophiolite complexes and oceanic island arcs including Muslim Bagh, Waziristan, Semail, Zagros, Chagai-Raskoh and Kohistan-Ladakh were developed in a single but segmented Late Jurassic- Cretaceous Ceno-Tethyan convergence zone.
PEMODELAN BERBASIS AGEN (ABM) UNTUK PENGELOLAAN AKTIVITAS MIGRASI MUSIMAN NELAYAN ANDON CUMI-CUMI DI PULAU SALURA

Perikanan cumi-cumi di Pulau Salura dibentuk oleh adanya agen nelayan andon, penduduk lokal, serta sumberdaya cumi-cumi. Kehadiran nelayan andon yang melakukan migrasi musiman dari Tanjung Luar di Pulau Lombok sampai ke Pulau Salura dengan aktivitas penangkapan cumi-cumi menjadikan sistem perikanan cumi-cumi ini menjadi berbeda dengan daerah lain. Intensitas migrasi dari nelayan andon yang tinggi berpengaruh terhadap perilaku penduduk lokal, serta kelimpahan sumberdaya cumi-cumi yang ada. Tujuan dari penelitian ini adalah mengkaji model pengelolaan aktivitas migrasi musiman dengan pengaturan alat tangkap yang dibawa. Metode yang digunakan adalah dengan pemodelan berbasis agen (ABM/Agent Base Model) melalui perangkat lunak Netlogo 6.2. Hasil penelitian menunjukkan bahwa pengaturan jumlah unit kapal yang terlibat dalam enangkapan cumi-cumi dalam waktu satu tahun harus diatur. Terdapat sembilan periode migrasi musiman yang dilakukan,sehingga model pengaturan jumlah unit kapal yang optimal untuk dapat menjaga kelimpahan cumi-cumi dan jumlah panenan nelayan adalah sebanyak 18 unit kapal setiap tahunnya. Populasi kelimpahan cumi-cumi yang dihasilkan sebesar 330 kuintal dengan masa regenerasi 42 hari, dan menghasilkan jumlah panenan sebesar 913 kuintal. (Agent Base Model For Seasonal Migration Activity of Squid Andon Fishers at Salura Island) Squid fishery system at Salura Island maked by multiple agent, as andon fishers, local peoples and squid resources. The presence of andon fishers who seasonally migrate from Tanjung Luar of Lombok Island to Salura Island with squid fishing activities makes the squid fishery system is to be different from other regions. The intensity of the migration of high andon fishers affected the behavior of the local population, as well as squid abundance of resources available. The purpose of this study was to manage the number of ships or fishing gear.The method is agent-based modeling (ABM / Agent Base Model) by used Netlogo 6.2 software. The results showed that the behavior of the agent can be analyzed from behaviors and activities. Setting the number of ships involved in catching squid in a year should be set. There are nine periods of seasonal migration is done, so that the optimal number of ships to be able to maintain the abundance of squid and the number of fishers are harvesting as many as 18 ships annually. The abundance of squid produced by 330 quintal with 42-day period of regeneration, and the squid harvest is 913 quintal.
ANÁLISE DA VARIÂNCIA DOS INDICADORES DE DESEMPENHO DAS EMPRESAS QUE PASSARAM POR OPERAÇÕES DE COMBINAÇÃO DE NEGÓCIOS

The objective of this research is to analyze the variance of performance indicators of 47 companies listed on the BM&FBOVESPA that have gone through business combination operations in 2010. From a quantitative approach, the study is characterized as descriptive, it is conducted through documentary analysis using ANOVA. The analysis factors are the year, from 2008 to 2015 and Sector, which covers seven sub-divisions. The ANOVA analysis does not indicate that there are statistically significant differences between the different levels of the Year factor. The variable ROA showed variance in relation to the sector factor. Thus, the significant variability of ROA index is not correlated to the M&A process. It is concluded that the statistically significant changes in the period of analysis cannot be correlated to business combination transactions (M&A).
Binocular Visual Navigation and Obstacle Avoidance of Mobile Robots Based on Speeded-Up Robust Features

This article presents a good robust and real-time system scheme of the mobile robot obstacle detection and navigation, which principle of work is based on the feature descriptor SURF. In this scheme, firstly, the image information of the mobile robot path was captured by the binocular camera; then the feature points were extracted and corresponding matched using SURF to the binocular images as the undetected obstacles; finally fixed the position of the objective by the parallax between the matching points combining with the binocular vision calibration model. Theoretical derivation and experimental results show that this scheme is more accurate for the detection and navigation of the interest points. It has fast matching speed and high accuracy and low error. So, it has certain practical effect and popularizing value for the mobile robot real-time obstacle avoidance and navigation.
Investigation of Microwave Irradiation and Ethanol Pre-Treatment toward Bioproducts Fractionation from Oil Palm Empty Fruit Bunch

Lignocellulosic biomass (LCB), such as the oil palm empty fruit bunches (OPEFB), has emerged as one of the sustainable alternative renewable bioresources in retrieving valuable bioproducts, such as lignin, cellulose, and hemicellulose. The natural recalcitrance of LCB by the disarray of lignin is overcome through the combinative application of organosolv pre-treatment followed by microwave irradiation, which helps to break down LCB into its respective components. This physicochemical treatment process was conducted to evaluate the effect of ethanol solvent, microwave power, and microwave duration against delignification and the total sugar yield. The highest delignification rate was achieved, and the optimum level of total sugars was obtained, with the smallest amount of lignin left in the OPEFB sample at 0.57% and total sugars at 87.8 mg/L, respectively. This was observed for the OPEFB samples pre-treated with 55 vol% of ethanol subjected to a reaction time of 90 min and a microwave power of 520 W. Microwave irradiation functions were used to increase the temperature of the ethanol organic solvent, which in turn helped to break the protective lignin layer of OPEFB. On the other hand, the surface morphology supported this finding, where OPEFB samples pre-treated with 55 vol% of solvent subjected to similar microwave duration and power were observed to have higher opened and deepened surface structures. Consequently, higher thermal degradation can lead to more lignin being removed in order to expose and extract the total sugars. Therefore, it can be concluded that organosolv pre-treatment in combination with microwave irradiation can serve as a novel integrated method to optimize the total sugar yield synthesized from OPEFB.
The classification of risks facing society in connection with the creation and spread of virtual assets: institutional and scientific approaches

The article suggests that the emergence and proliferation of virtual assets has led to an increase in a number of negative events (risks) that society, States and investors might face. However, despite significant developments in identifying these risks, there is still no generalized classification of them. Given this, the purpose of the article is to analyze and classify the risks faced by society, States and investors in connection with the emergence and proliferation of virtual assets. The author proposes to classify the risks into six groups based on the study: economic, investment, criminological, technological, subjective, and environmental risks. Within each of the proposed classification groups, the author identifies the relevant risks. For example, the economic risks include the following: the possibility of affecting the foundations of financial stability and security of the state, inflation (possible impact on the monetary policy of the state due to unjustified and uncontrolled increase in the money supply), the possibility of creating pyramid schemes, the possibility of circumventing currency legislation (in particular, currency restrictions on the withdrawal of currency abroad). As to the subjective risks, the author identifies the following: the possibility of unfair behavior of entities providing services in the field of turnover of such assets, the possibility of losing a crypto wallet password and/or a secret personal PIN code by its owner, the possibility of an erroneous transaction during a transfer from one crypto wallet to another, the possibility of carrying out settlement operations and entering into smart contracts by persons under the appropriate age or with limited legal capacity, and the inability of some non-professional users to use virtual assets. It is emphasized that a comprehensive study of the risks that may arise in connection with the emergence and proliferation of virtual assets will form the basis for further development of legal support for their operation and implementation in all spheres of public life.