Miracle-dz/UniFAR-FTUs huggingface dataset:
Crabbing Motion Testing of Waterjet-Powered Ships Using Stern Thrusters

This study assessed the potential for crabbing motion in waterjet ships by exclusively employing stern thrusters. The theoretical considerations were validated through practical sea trials on the naval vessel PKG (Patrol Killer Guided missile) equipped with three stern thrusters. The control forces were calculated using the force equilibrium equation. The results showed that the hull exhibited rotations and lateral movements under wind influence. The port tail exhibited a leftward turning tendency due to the wind. This phenomenon arises from the dominance of the rotational force generated by the stern thruster over the lateral force exerted by the hull, making it challenging to maintain force equilibrium. In the sea trial, the hull rotated by 10° and moved 10.8 m laterally, with a longitudinal movement of 0.26 m. Remarkably, the lateral movement surpassed the longitudinal displacement, indicating the success of the trial. The substantial lateral travel distance provided tangible evidence that the crabbing motion of the ship is achievable using only stern thrusters. This study contributes valuable insights into enhancing the maneuverability of waterjet ships, offering practical applications for naval operations and maritime activities.
Improving Energy Efficiency and Reducing Code Size with RISC-V Compressed by

Delivering the instruction stream can be the largest source of energy consumption in a processor, yet loosely-encoded RISC instruction sets are wasteful of instruction bandwidth. Aiming to improve the performance and energy efficiency of the RISC-V ISA, this thesis proposes RISC-V Compressed (RVC), a variable-length instruction set extension. RVC is a superset of the RISC-V ISA, encoding the most frequent instructions in half the size of a RISCV instruction; the remaining functionality is still accessible with full-length instructions. RVC programs are 25% smaller than RISC-V programs, fetch 25% fewer instruction bits than RISCV programs, and incur fewer instruction cache misses. Its code size is competitive with other compressed RISCs. RVC is expected to improve the performance and energy per operation of RISC-V.
Investigating the Effect of Sedimentary Basin on Consolidation of Kerman Fine-Grained Soils

In this research, the effects of a sedimentary basin, environmental conditions, and the passage of time were investigated on consolidation processes and engineering characteristics of fine-grained soils in Kerman city. For this purpose, the natural consolidation curves of soil samples extracted from different locations of Kerman city were compared with the Kerman city intrinsic consolidation line (ICL). To obtain the ICL, 25 soil samples were taken from several locations and depths of the study area and mixed with high water content equivalent 1.0 to 1.5 times their liquid limit. Then, one-dimensional consolidation tests were performed on reconstituted soils. Using the normalizing parameter (void index) proposed by Burland and the ICL of Kerman city deposits, the results of consolidation tests were plotted on Iv- Log(σv) space. To investigate the effects of the sedimentary basin on engineering properties of fine-grained deposits in Kerman city, natural sedimentation compression curves were compared with ICL of Kerman soils. This comparison was applied in three regions along the paths of rivers that supply the fine sediments of Kerman plain. The results have shown that soil structure and fabric have not been developed abundantly and the effect of sedimentary model has caused the compression.
The influence of pharmacist-led collaborative care on clinical outcomes in type 2 diabetes mellitus: a multicenter randomized control trial

Background Health care providers are mandated to deliver specialized care for the treatment and control of type 2 diabetes mellitus. In Malaysia, Diabetes Medication Therapy Adherence Clinics (DMTAC) in tertiary hospitals have designated pharmacists to administer these services. Objective To assess the effects of pharmacist-led interventions within DMTAC on the outcomes of patients with type 2 diabetes mellitus in two distinct hospitals in Kedah, Malaysia. Methods Patients with type 2 diabetes were randomly selected from the two hospitals included in this study. The study population was divided into two equal groups. The control group consisted of 200 patients receiving routine care from the hospitals. On the other hand, the intervention group included those patients with type 2 diabetes (200), who received separate counseling sessions from pharmacists in the DMTAC departments along with the usual treatment. The study lasted 1 year, during which both study groups participated in two distinct visits. Results Parametric data were analyzed by a paired t-test and one-way ANOVA, while non-parametric data were analyzed by a Chi-squared test using SPSS v24. A p < 0.05 was considered statistically significant. The study presented the results of a greater reduction in HBA1c levels in the intervention group compared to the control group, i.e., 3.59 and 2.17% (p < 0.001). Moreover, the Systolic and Diastolic values of BP were also significantly reduced in the intervention group, i.e., 9.29 mmHg/7.58 mmHg (p < 0.005). Furthermore, cholesterol levels were significantly improved in patients in the intervention group, i.e., 0.87 mmol/L (p < 0.001). Conclusion Based on the findings of the current study it has been proven that the involvement of pharmacists leads to improved control of diabetes mellitus. Therefore, it is recommended that the government initiate DMTAC services in both private and government hospitals and clinics throughout Malaysia. Furthermore, future studies should assess the impact of pharmacist interventions on other chronic conditions, including but not limited to asthma, arthritis, cancer, Alzheimer’s disease, and dementia.
Differential Microbial Composition and Interkingdom Interactions in the Intestinal Microbiota of Holstein and German Simmental × Holstein Cross F1 Calves: A Comprehensive Analysis of Bacterial and Fungal Diversity

Calf intestines are colonized by rich and complex microbial communities, playing a crucial role in animal physiology, metabolism, nutrition, and immune function. In this study, we provide insight into the composition of fecal microbial bacteria and fungi, respectively, as well as the cross-kingdom interactions. We investigated the intestinal microbiota of different breeds of calves by characterizing the bacterial and fungal communities in the rectal feces of Holstein calves and German Simmental × Holstein cross F1 generation (GXH) using 16S rRNA and ITS amplicon sequencing techniques. PICRUSt2 (version 2.2.0) were used to determine microbial diversity and function and explore the reasons why Holstein calves are more susceptible to diarrhea. The results revealed no significant difference in the diversity of fecal microbiota among the groups (p > 0.05). We identified Firmicutes, Bacteroidetes, and Proteobacteria as the dominant bacterial phyla in the fecal bacterial communities of the two breeds of calves. Ascomycota and Basidiomycota play important roles in the fungal community but differ in relative abundance. Bacteroides was the dominant genus at the group level for calf fecal microbiota in both breeds. The relative abundance of Prevotella, Escherichia-Shigella, Peptostreptococcus, and Butyricicoccus was higher in Holstein calves, and the relative abundance of Faecalibacterium, Megamonas, Butyricicoccus, and Alloprevotella was lower than GXH group. Aspergillus and Cladosporium were the dominating genera of fecal fungi in both groups of calves. LEfSe analysis revealed 33 different bacteria and 23 different fungi between the two groups, with more differential strains found in GXH. In addition, the feces fungi-bacteria interkingdom interactions varied among breeds. Thus, the composition and structure of bacterial and fungal communities in calf feces varied by breed, indicating a potential association between breed and microbial communities. We also found differences in the network between bacterial–fungal kingdoms. We explain the reasons for Holstein calves being more prone to diarrhea. This indicated that breed makes differences in calf diarrhea rates by influencing gut microbial composition and interactions.
The Emerging Underclass: Evidence from Melbourne and Sydney

Since the release of 1996 Census data in 1997, the Centre for Population and Urban Research has explored the distribution of income in Melbourne, Sydney, and Brisbane, particularly for males 25-44 years of age, and for a range of birthplace groups. Two publications containing these data have been produced by the Centre: ‘A Statistical Portrait of Melbourne’ and ‘A Statistical Portrait of Sydney’. Findings derived from these works served as the basis of several feature articles in the daily press: ‘The Great Divide’ in the Sydney Morning Herald, September 17 1997; ‘Multicultural Melbourne, an Overview’ in the Melbourne Age, December 13 1997; and in the Brisbane Courier Mail, ‘South East — A Corridor of Broken Dreams’, December 30 1997, ‘Relaxed and Comfortable in Capital of Growth’, 29 December 1997, and ‘State of the State’, 3 January 1997. The present article analyses 1996 Census data to show that low-income males are concentrated in particular suburbs. Much of this concentration can be explained by patterns of settlement of recent migrants who lack the skills to compete in the contemporary labour market.
Magnetotelluric constraints on the role of fluids in convergent plate boundaries

Convergent plate boundaries have played an important role in the growth and assembly of the modern continents. To obtain a better understanding of the tectonic processes in these boundaries, it is necessary to constrain the rheology of the crust and upper mantle in these regions. Magnetotelluric studies measure electrical resistivities and provide an excellent tool to determine the fluid content and thermal structure. These are key parameters in determining the rheology. Magnetotelluric studies were used to investigate two types of convergent plate boundaries: (i) the Cascadia subduction zone as an example for active subduction of an oceanic plate beneath a continent and (ii) the Indian-Eurasian collision as an example for a modern continent-continent collision. Geodynamic models requiring vigorous convection of a low viscosity mantle have been successful in explaining high mantle temperatures in the backarc of the Cascadia subduction zone. Geochemical calculations indicate that high temperatures and water content can significantly reduce mantle viscosity. Longperiod magnetotelluric data of the Cascadia subduction zone are used to determine the electrical resistivity structure and to constrain the backarc mantle rheology, specifically in terms of the amount of fluids. Non-uniqueness in the interpretation is reduced by using constraints from seismic tomography and geochemical calculations. At shallow mantle depths, water contents of 500-1000 ppm and melt fractions of 0.5-2.5% are required, which can reduce mantle viscosity and allow for vigorous mantle convection. In the India-Eurasia continental collision, models invoking flow in a weak lower crustal layer have been successful in explaining a number of geological and geophysical observations associated with the evolution of the Tibetan plateau. Geophysical observations indicate that the weak lower crustal layer may be the result of partial melting and/or aqueous fluids. Laboratory studies predict an order reduction in strength for melt fractions of 5-10%. By relating these laboratory studies to magnetotelluric observations it is possible to estimate the flow parameters associated with the channel flow model. Magnetotelluric studies require conductances of up to 20,000 S beneath the Tibetan Plateau, suggesting flow velocities of 0.02-4.5 cm/a. These flow velocities support the idea that channel flow could occur beneath parts of Tibet.
Improving Generalizability of PET DL Algorithms: List-Mode Reconstructions Improve DOTATATE PET Hepatic Lesion Detection Performance

Deep learning (DL) algorithms used for DOTATATE PET lesion detection typically require large, well-annotated training datasets. These are difficult to obtain due to low incidence of gastroenteropancreatic neuroendocrine tumors (GEP-NETs) and the high cost of manual annotation. Furthermore, networks trained and tested with data acquired from site specific PET/CT instrumentation, acquisition and processing protocols have reduced performance when tested with offsite data. This lack of generalizability requires even larger, more diverse training datasets. The objective of this study is to investigate the feasibility of improving DL algorithm performance by better matching the background noise in training datasets to higher noise, out-of-domain testing datasets. 68Ga-DOTATATE PET/CT datasets were obtained from two scanners: Scanner1, a state-of-the-art digital PET/CT (GE DMI PET/CT; n = 83 subjects), and Scanner2, an older-generation analog PET/CT (GE STE; n = 123 subjects). Set1, the data set from Scanner1, was reconstructed with standard clinical parameters (5 min; Q.Clear) and list-mode reconstructions (VPFXS 2, 3, 4, and 5-min). Set2, data from Scanner2 representing out-of-domain clinical scans, used standard iterative reconstruction (5 min; OSEM). A deep neural network was trained with each dataset: Network1 for Scanner1 and Network2 for Scanner2. DL performance (Network1) was tested with out-of-domain test data (Set2). To evaluate the effect of training sample size, we tested DL model performance using a fraction (25%, 50% and 75%) of Set1 for training. Scanner1, list-mode 2-min reconstructed data demonstrated the most similar noise level compared that of Set2, resulting in the best performance (F1 = 0.713). This was not significantly different compared to the highest performance, upper-bound limit using in-domain training for Network2 (F1 = 0.755; p-value = 0.103). Regarding sample size, the F1 score significantly increased from 25% training data (F1 = 0.478) to 100% training data (F1 = 0.713; p < 0.001). List-mode data from modern PET scanners can be reconstructed to better match the noise properties of older scanners. Using existing data and their associated annotations dramatically reduces the cost and effort in generating these datasets and significantly improves the performance of existing DL algorithms. List-mode reconstructions can provide an efficient, low-cost method to improve DL algorithm generalizability.
Trajectories of thermospheric air parcels flowing over Alaska, reconstructed from ground‐based wind measurements

It is widely presumed that the convective stability and enormous kinematic viscosity of Earth's upper thermosphere hinders development of both horizontal and vertical wind shears and other gradients. Any strong local structure (over scale sizes of several hundreds of kilometers) that might somehow form would be expected to dissipate rapidly. Air flow in such an atmosphere should be relatively simple, and transport effects only slowly disperse and mix air masses. However, our observations show that wind fields in Earth's thermosphere have much more local‐scale structure than usually predicated by current modeling techniques, at least at auroral latitudes; they complicate air parcel trajectories enormously, relative to typical expectations. For tracing air parcels, we used wind measurements of an all‐sky Scanning Doppler Fabry‐Perot interferometer and reconstructed time‐resolved two‐dimensional maps of the horizontal vector wind field to infer forward and backward air parcel trajectories over time. This is the first comprehensive study to visualize the complex motions of thermospheric air parcels carried through the actual observed local‐scale structures in the high‐latitude winds. Results show that thermospheric air parcel transport is a very difficult observational problem, because the trajectories followed are very sensitive to the detailed features of the driving wind field. To reconstruct the actual motion of a given air parcel requires wind measurements everywhere along the trajectory followed, with spatial resolutions of 100 km or less, and temporal resolutions of a few minutes or better. Understanding such transport is important, for example, in predicting the global‐scale impacts of aurorally generated composition perturbations.
The Effect of Digital Transformation on Organizational Performance by A Mediating Role of Digital Innovation

Organizations face much pressure to deal with rapid changes in technologies as well as the way of working. Digital transformation helps them keep up with these changes, but there are still many aspects that organizations need to deal with in a highly competitive environment. Therefore, there is a need for a comprehensive overview of the effect of digital transformation on the Saudi companies. To fill this gap, Research aims to examine the effect of digital transformation on organizational performance by a mediating role of digital innovation. A survey was conduct of employees working for Saudi telecommunication companies (STC, Zain, and Mobily), by using the component-based partial least squares method to analyze the 170 completed questionnaires. The results indicate that there is a relationship between digital transformation and organizational performance, mediated by digital innovation. And noted that the social and technological perspectives of digital transformation have a significant impact on digital innovation. Finally, the findings encourage large companies to take the opportunity to adopt digital transformation and digital innovation to boost their performance from all organizational perspectives.
Far-Infrared Radiation with Sauna Method Improves Recovery of Fatigue and Muscle Damage in Athletes After Submaximal Physical Exercise

Muscle damage is one of the most frequent causes of decreased physical ability in training. Injuries during exercise are caused by damage to soft tissue, such as muscles. This can occur if recovery is inadequate in an exercise program. Incomplete recovery can reduce an athlete's performance. This study aims to determine the effect of far-infrared radiation (FIR) in improving fatigue and muscle cell damage in athletes after submaximal physical exercise. A total of 16 male athletes, aged 18-23 years were recruited to participate in the study and were given physical exercise at submaximal intensity (80% HRmax) for 30 minutes using a treadmill. The administration of FIR 45ºC was carried out immediately after submaximal intensity exercise for 30 minutes, while the recovery control group was carried out lying down without additional intervention. Measurement of fatigue levels uses the lactic acid (LA) parameter with the Accutrend Plus Meter, while measuring muscle cell damage uses the MDA level parameter using the Thiobarbituric acid reactive substance (TBARs) method. The data analysis technique uses the independent sample t-test with a significance level of 5%. The results showed that there was a significant difference in mean post-treatment LA between the control (CTR) vs. recovery group with FIR 45ºC for 30 minutes (EXP) 3.48±1.62 mmol/L vs. 3.48±1.62 mmol/L, p=0.035. Mean post-treatment MDA levels between CTR vs. EXP 0.45±0.19 ng/mL vs. 0.24±0.03 ng/mL, p=0.011. Far-infrared radiation using the sauna method has been proven effective in reducing lactic acid and MDA levels after submaximal physical exercise. Keywords: Far-infrared radiation, lactic acid, MDA levels, submaximal physical exercise
Chapter 3: Impacts of 1.5ºC global warming on natural and human systems

Lead Authors: Marco Bindi (Italy), Sally Brown (UK), Ines Camilloni (Argentina), Arona Diedhiou (Ivory Coast/Senegal), Riyanti Djalante (Japan/Indonesia), Kristie L. Ebi (USA), Francois Engelbrecht (South Africa), Joel Guiot (France), Yasuaki Hijioka (Japan), Shagun Mehrotra (USA/India), Antony Payne (UK), Sonia I. Seneviratne (Switzerland), Adelle Thomas (Bahamas), Rachel Warren (UK), Guangsheng Zhou (China)
Comparing CNN Architecture for Indonesian Speciality Cuisine Classification

Indonesia's diverse and flavorful cuisine is a hidden gem, reflecting the nation's rich history and cultural tapestry. However, many of these culinary treasures remain undiscovered by a wider audience despite the popularity of beef rendang. This study represents a fascinating blend of technology and gastronomy, using smart computers to unravel the secrets of Indonesian flavors. This research employs one of the most popular neural networks methods called Convolutional Neural Network (CNN) to shine a light on many citizens' favorite regional specialty cuisine which is Padang cuisine from West Sumatra, Indonesia. Gathering a collection of 993 images from 9 various dishes, the machine is trained to automatically recognize these unique culinary delights. Among several different Convolutional Neural Network models trained and tested, DenseNet-201 emerged as the top performer, showcasing remarkable accuracy, precision, recall and f1-score higher than 0.90. By harnessing the power of advanced neural networks, we not only gain insights into the intricacies of the region's culinary traditions but also pave the way for a deeper appreciation and understanding of the cultural significance embedded in every bite. Beyond this research technological achievements, it also emphasizes the importance of preserving and promoting Indonesia's diverse culinary heritage and rich tapestry of global food heritage.
Amélioration de la qualité géométrique des images spatiales radar : méthodes de localisation et restitution du relief par radargrammétrie

L'observation de la Terre depuis l'espace par les capteurs radar a ouvert de nouvelles perspectives dans le domaine des techniques d'exploitation des images et dans le domaine des applications servies par ces produits radar. Cette these s'interesse a la qualite geometrique des images radar a synthese d'ouverture acquises par satellite. Cet aspect est d'une grande importance lors de l'integration de ces donnees dans des systemes avec des sources de donnees heterogenes, et lors de l'application de methodes basees sur les modeles geometriques des images telles que la localisation et la restitution du relief. Nous commencons par la description de la modelisation du processus physique de prise de vue de l'image radar qui sert de base aux methodes de localisation et aux applications liees a la geometrie des images. Puis nous montrons que des erreurs contaminent les valeurs des parametres du modele de prise de vue et nous analysons tous les foyers eventuels d'imprecision afin, d'une part, d'etablir le vecteur d'etat des parametres a estimer et, d'autre part, par un processus de modelisation/simulation de disposer d'un outil d'expertise sur les potentialites en localisation et en restitution du relief de systemes spatiaux radar existants ou futurs. L'ajustement des modeles de prise de vue, pose comme un probleme d'estimation de parametres en presence de bruit dans les mesures d'appui, est ensuite resolu simultanement pour un bloc d'images qui se chevauchent. Finalement, nous etudions la radargrammetrie qui consiste a generer des modeles numeriques de terrain a partir d'images radar stereoscopiques. Une nouvelle chaine de traitement radargrammetrique est mise au point avec un module original de mise en geometrie epipolaire et une analyse de l'influence du filtrage des images en amont de l'etape d'appariement.