Miracle-dz/UniFAR-FTUs huggingface dataset:
Optical Limiting Properties of DNA Biopolymer Doped with Natural Dyes

The high-power lasers have important implications for present and future light-based technologies; therefore, the protection measures against their high-intensity radiation are extremely important. Currently, a great deal of interest is directed towards the development of new nonlinear optical materials for passive optical limiters, which are used to protect the human eye and sensitive optical and optoelectronic devices from laser-induced damage. Biopolymers doped with natural dyes are emerging as a new class of optical materials with interesting photosensitive properties. In this paper, the optical limiting capability of deoxyribonucleic acid bio-polymer functionalized with Turmeric natural dye has been demonstrated for the first time, to the best of our knowledge. The experimental investigation of the optical limit has been done by the Intensity-scan method in the NIR spectral domain at the important telecommunication wavelength of 1550 nm, using ultrashort laser pulses (~120 fs). Several optical properties of this natural dye are presented and discussed. The values of the optical transmittance in the linear regime, the saturation intensity of the nonlinear transmittance curves, and the coefficient of the nonlinear absorption have been determined. The influence of the DNA biopolymer and natural dye concentration on the optical limiting properties of the investigated biomaterials is reported and discussed. The photostability and thermal stability of the investigated solutions have also been evaluated by monitoring the temporal decay of the normalized absorption spectra under illumination with UVA light and heating, respectively. Our results evidence the positive influence of the DNA, which embeds Turmeric natural dye, on the optical limiting functionality itself and on the photostability and thermal stability of this novel material. The performed study reveals the potential of the investigated novel biomaterial for applications in nonlinear photonics, in particular in optical limiting.
CONSTRUCTION DESIGN OF LIFTING SPREADER FOR LIFTING HARP EVAPORATOR USING FINITE ELEMENT METHOD

A company engaged in EPCC is working on a project to replace the evaporator tube element in an HRSG. Lifting equipment is needed for the element lifting process which includes vertical and horizontal lifting processes, the design and calculation of components on the spreader bar must be calculated properly, the spreader bar components include the main profile, sling, shackle & padeye. This is done so that there are no fatal work accidents for either the worker, the material being lifted, the lift plane or the spreader bar. Calculation of the components of the lifting aid is carried out to determine the dimensions of the components to be used, then also calculate the von mises stress that occurs. This study aims to streamline the lifting equipment which previously amounted to 2 spreader bars to 1 spreader bar without reducing the strength of the structure. The results of the calculation of von mises stress that occurred in the vertical position amounted to 68.89 Mpa (FEM Validation = 29.16 Mpa), with an allowable stress of 83.3 Mpa, while in the horizontal position the resulting von mises stress was 30.92 Mpa (FEM = 17.12 Mpa). Sebuah perusahaan yang bergerak di bidang EPCC sedang mengerjakan proyek penggantian elemen tube evaporator pada sebuah HRSG. Alat angkat dibutuhkan untuk proses pengangkatan elemen yang meliputi proses pengangkatan secara vertikal dan horizontal, desain dan perhitungan komponen pada spreader bar harus diperhitungkan dengan baik, komponen spreader bar meliputi main profile, sling, shackle & padeye. Hal ini dilakukan agar tidak terjadi kecelakaan kerja yang fatal baik bagi pekerja, material yang diangkat, pesawat angkat maupun spreader bar. Perhitungan komponen-komponen alat bantu angkat dilakukan untuk mengetahui dimensi komponen yang akan digunakan, kemudian juga menghitung tegangan von mises yang terjadi. Penelitian ini bertujuan untuk merampingkan alat bantu angkat yang sebelumnya berjumlah 2 spreader bar menjadi 1 spreader bar tanpa mengurangi kekuatan struktur. Hasil perhitungan von mises stress yang terjadi pada posisi vertikal sebesar 68.89 Mpa (FEM Validasi = 29.16 Mpa), dengan tegangan ijin sebesar 83.3 Mpa, sedangkan pada posisi horisontal von mises stress yang terjadi sebesar 30.92 Mpa (FEM = 17.12 Mpa).
Adaptation of an eHealth Intervention: iSupport for Carers of People with Rare Dementias

‘iSupport’ is an online psychoeducation and skills development intervention created by the World Health Organisation to support people with dementia. This project adapted iSupport for carers of people with rare dementias (iSupport RDC), creating a new resource to support the health and wellbeing of this underserved population. The adaptation involved three phases: (1) Co-design methods to generate preliminary adaptations; (2) Analysis of phase one findings informing adaptations to iSupport to develop; iSupport RDC; (3) Post-adaptation survey to ascertain participant agreement with the adaptations in iSupport RDC. Fourteen participants contributed, resulting in 212 suggested adaptations, of which 94 (92%) were considered practical, generalisable, and aligned with iSupport principles. These adaptations encompassed content and design changes, including addressing the challenges of rare dementias (PCA, PPA, LBD, and FTD). iSupport RDC represents a significant adaptation of the WHO iSupport intervention. Its tailored nature acknowledges the unique needs of people caring for someone with a rare dementia, improving their access to specialised resources and support. By extending iSupport to this population, it contributes to advancing dementia care inclusivity and broadening the understanding of rare dementias. A feasibility study is underway to assess iSupport RDCs acceptability, with prospects for cultural adaptations to benefit carers globally.
Assessing Technical Efficiency in Malaysian Pineapple Farms: A Stochastic Frontier Analysis Approach

Pineapple cultivation proves to be a significant component of Malaysia's agricultural sector. This research was aimed at quantifying technical efficiency of Johor small-scale pineapple agriculturists. Stochastic Frontier Analysis (SFA), a statistical method used to estimate production or cost frontiers, was the preferred method for this purpose. This approach was also used to identify key elements, such as socio-economic characteristics, that influence technical implementation in pineapple farms. A total of 290 pineapple growers participated in the study, and data was collected between 2019 and 2021 during the growing season. The mean observed score of 0.681 is an indication of agriculturists non- maximum efficiency operation activity. However, the inefficiency model showed that aspects such as agricultural experience, extension visits, and participation in workshops significantly reduced inefficiency. The main problem in production points to suboptimal farming applications: agriculturists abstain from using all available agricultural inputs to achieve maximum production. The findings of the study emphasise the need for agriculturists’ proficiency refinement and upskilling in pineapple cultivation agrarian andragogy. Keywords: stochastic frontier analysis, technical efficiency
Influence of surfactant addition to emulsion fuels on the hot section of turbine engines

Due to the growing awareness of ecological threats, more and more attention is paid to the emission problem of undesirable substances into the atmosphere, the source of which is transport and energy. The impact of these factors on the environment can be reduced by using alternative fuels, which are non-fossil fuels, or by modifying these fuels to ensure lower emissions. One of the methods for reducing emissions from engines is the use of water fuel emulsion as fuel, which has a particularly positive effect on the emission of nitrogen oxides at high loads of drive and power units. An important issue affecting the possibility of using this fuel type is the impact of their use on the elements of the units in contact with fuel containing water and, optionally, an emulsifier. This paper presents inspection results of the hot section of a miniature gas turbine powered by Jet-A1 aviation fuel with the emulsifier addition. On the basis of these observations, the components of emulsion fuels were determined, which are the cause of the characteristic deposits occurring on the hot sections of the units after using emulsion fuels.
SAWTOOTH WAVE BUNCHER UPGRADE FOR SFC CYCLOTRON

To increase extracted beam intensity, the SFC cyclotron requires that the sawtooth wave buncher on its injection line provide the effective voltage up to 2.5kV and cover a wide frequency range of six times. We develope a multi-harmonic synthesis method by combining a broadband amplifier and impedance transformer, which provide a high-voltage single-gap buncher at limited space and cost. With this method, the maximum voltage of the new buncher exceeds 2.5kV and the beam intensity increases by a factor of 6.7.
Complementary roles for parvalbumin and somatostatin interneurons in the generation of hippocampal gamma oscillations

Gamma-frequency oscillations (30-120 Hz) can be separated into fast (>60 Hz) and slow oscillations, with different roles in neuronal encoding and information transfer. While synaptic inhibition is important for synchronization across the gamma-frequency range, the role of distinct interneuronal subtypes in fast and slow gamma states remains unclear. Here, we used optogenetics to examine the involvement of parvalbumin (PV+) and somatostatin (SST+) expressing interneurons in gamma oscillations in the mouse hippocampal CA3 ex vivo. Disrupting either PV+ or STT+ interneuron activity, via either photo-inhibition or photo-excitation, led to a decrease in the power of cholinergically-induced slow gamma oscillations. Furthermore, photo-excitation of SST+ interneurons induced fast gamma oscillations, which depended on both synaptic excitation and inhibition. Our findings support a critical role for both PV+ and SST+ interneurons in slow hippocampal gamma oscillations, and further suggest that STT+ interneurons are capable of switching the network between slow and fast gamma states.
Low-Power Centimeter-Level Localization for Indoor Mobile Robots Based on Ensemble Kalman Smoother Using Received Signal Strength

How to provide a low-cost but accurate localization solution for the indoor mobile robots are essential in many Internet of Things applications, such as smart home and asset tracking. To achieve this goal, this paper originally proposes a modified two-filter smoother based on ensemble Kalman filter (KF) (denoted as EnKS) for the localization of indoor mobile robots. The proposed EnKS algorithm consists of both a forward part of an ensemble KF (EnKF) with statistical linear regression and a backward part of a modified information KF with state error vector. The EnKS based on stochastic sampling with ensemble members can achieve better positioning accuracy than other Kalman smoothers. When compared to EnKF, the proposed EnKS combines a backward filter to compensate for the estimation error of EnKF and further improves the accuracy. Furthermore, the implementation of the proposed EnKS is conducted in the real world visible light positioning (VLP) system using pre-existing LED lights for low-cost robot localization. To make a performance comparison, this paper also uses baseline smoothers based on extended KF and central difference KF in the VLP system. Preliminary experimental results imply that the proposed EnKS is able to achieve the best positioning accuracy, as high as 11.18 cm on average, but with a comparable computational complexity, which enables to meet the demands of many robot applications.
Large-size gold–aluminum alloy cluster Al12Au60 stabilized by an encapsulating B12 icosahedron: a first-principles study

The investigation of novel clusters incorporating gold (Au) has attracted increasing attention due to their intriguing architecture and feasibility of experimental synthesis. In this study, a large-size gold–aluminum alloy cluster with icosahedral B12 as its core, specifically a B12@Al12Au60 cluster, is proposed and demonstrated to have remarkable stability as ascertained through first-principles calculations. The core–shell assembly, B12@Al12Au60, exhibiting I symmetry, is characterized by the incorporation of an icosahedral B12 motif within the outer shell of the Al12Au60 framework. By thorough analysis encompassing vibrational frequency and molecular dynamics simulations, the structural stability of the core–shell B12@Al12Au60 is investigated. The electronic characteristics are probed through adaptive natural density partitioning analysis, revealing the presence of 66 multi-center two-electron σ bonds distributed across the entirety of the core–shell configuration. Furthermore, scrutiny of distinct dimeric configurations composed of core–shell B12@Al12Au60 underscores their relative autonomy and potential prospects for applications within cluster-assembled materials.
Two New Sarasinosides from the Sponge Melophlus Sarasinorum

Two new 30-norlanostane-type oligoglycosides (6, 7) along with five known sarasinosides A1 (1), A2 (2), A3 (3), M (4), L (5) were isolated from the ethanol extract of the Australian sponge Melophlus sarasinorum. The skeleton of new sarasinoside A4 (6) possesses a rare 8α,9α-oxido-8,9-seco-moiety. Sarasinoside A5 (7) proved to be a 9-deoxy-congener of the previously described sarasinoside L (5). Compounds 1–7 have identical pentasaccharide chains and differ in the aglycone portions. The structures have been elucidated on the basis of NMR, MALDI-TOF MS and GC analyses.
RELIEF: Relieving Memory Pressure In SoCs Via Data Movement-Aware Accelerator Scheduling

—Data movement latency when using on-chip accelerators in emerging heterogeneous architectures is a serious performance bottleneck. While hardware/software mechanisms such as peer-to-peer DMA between producer/consumer accelerators allow bypassing main memory and significantly reduce main memory contention, schedulers in both the hardware and software domains remain oblivious to their presence. Instead, most contemporary schedulers tend to be deadline-driven, with improved utilization and/or throughput serving as secondary or co-primary goals. This lack of focus on data communication will only worsen execution times as accelerator latencies reduce. In this paper, we present RELIEF (RElaxing Least-laxIty to Enable Forwarding), an online least laxity-driven accelerator scheduling policy that relieves memory pressure in accelerator-rich architectures via data movement-aware scheduling. RELIEF leverages laxity (time margin to a deadline) to opportunistically utilize available hardware data forwarding mechanisms while minimizing quality-of-service (QoS) degradation and unfairness. RELIEF achieves up to 50% more forwards compared to state-of-the-art policies, reducing main memory traffic and energy consumption by up to 32% and 18%, respectively. At the same time, RELIEF meets 14% more task deadlines on average and reduces worst-case deadline violation by 14%, highlighting QoS and fairness improvements.
Development of Digital Control Systems for Wearable Mechatronic Devices: Applications in Musculoskeletal Rehabilitation of the Upper Limb

The potential for wearable mechatronic systems to assist with musculoskeletal rehabilitation of the upper limb has grown with the technology. One limiting factor to realizing the benefits of these devices as motion therapy tools is within the development of digital control solutions. Despite many device prototypes and research efforts in the surrounding fields, there are a lack of requirements, details, assessments, and comparisons of control system characteristics, components, and architectures in the literature. Pairing this with the complexity of humans, the devices, and their interactions makes it a difficult task for control system developers to determine the best solution for their desired applications. The objective of this thesis is to develop, evaluate, and compare control system solutions that are capable of tracking motion through the control of wearable mechatronic devices. Due to the immaturity of these devices, the design, implementation, and testing processes for the control systems is not well established. In order to improve the efficiency and effectiveness of these processes, control system development and evaluation tools have been proposed. The Wearable Mechatronics-Enabled Control Software framework was developed to enable the implementation and comparison of different control software solutions presented in the literature. This framework reduces the amount of restructuring and modification required to complete these development tasks. An integration testing protocol was developed to isolate different aspects of the control systems during testing. A metric suite is proposed that expands on the existing literature and allows for the measurement of more control characteristics. Together, these tools were used ii
Grazing Distribution Patterns of Hereford and Santa Gertrudis Cattle on a Southern New Mexico Range.

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SWATMOD‐Prep: Graphical User Interface for Preparing Coupled SWAT‐MODFLOW Simulations

This article presents SWATMOD‐Prep, a graphical user interface that couples a SWAT watershed model with a MODFLOW groundwater flow model. The interface is based on a recently published SWAT‐MODFLOW code that couples the models via mapping schemes. The spatial layout of SWATMOD‐Prep guides the user through the process of importing shape files (sub‐basins, hydrologic response units [HRUs], river network) from an existing SWAT model, creating a grid, performing necessary geo‐processing operations to link the models, writing out SWAT‐MODFLOW files, and running the simulation. The option of creating a new single‐layer MODFLOW model for near‐surface alluvial aquifers is available, with the user prompted to provide groundwater surface elevation (through a digital elevation model), aquifer thickness, and necessary aquifer parameter values. The option of simulating nitrate transport in the aquifer also is available, using the reactive transport model RT3D. The interface is in the public domain. It is programmed in Python, with various software packages used for geo‐processing operations (e.g., selection, intersection of rasters) and inputting/outputting data, and is written for Windows. The use of SWATMOD‐Prep is demonstrated for the Little River Experimental Watershed, Georgia. SWATMOD‐Prep and SWAT‐MODFLOW executables are available with an accompanying user's manual at: http://swat.tamu. edu/software/swat-modflow/. The user's manual also accompanies this article as Supporting Information.
Whole-Body Cryostimulation in Functional Neurological Disorders: A Case Report

Functional neurological disorders (FNDs) are complex disabling conditions requiring a multiple rehabilitation intervention. Here, we propose a new use of whole-body cryostimulation (WBC) that was implemented in a multidisciplinary rehabilitation programme in a wheelchair-ridden woman diagnosed with FND and other comorbidities. WBC is a promising adjuvant treatment in various conditions of rehabilitation interest, mainly because of its wide range of rapid effects, from anti-inflammatory to pain and autonomic modulating effects. The 4-week program included physiotherapy, nutritional intervention, psychological support, and WBC (−110 °C for 2 min). Questionnaires to assess disease impact, pain level, fatigue and sleep quality were administered. At discharge, improvements in body composition, haematological biomarkers, physical performance, and questionnaire scores were observed. The patient was able to walk independently with a walker for medium distances and reported unprecedented improvements, particularly in functional parameters and questionnaire scores. Although the extent to which WBC per se contributed to the measured improvements cannot be ascertained, subjective reports and our clinical observations indicate that WBC, the only intervention not previously experienced by the patient, acted as a booster for the rehabilitation interventions. Further research will be necessary to rule out any possible placebo effect and to confirm the effects of WBC on FND.
Spatial and temporal trends in North American snow depth and relationships with streamflow and ablation

This study uses a gridded dataset of daily U.S. and Canadian surface observations from 19602000 to study historical spatial and temporal variability and trends in snow depth across North America. Analysis shows decreasing snow depths beginning in mid-winter (-0.5 cm yr; p < 0.01) with little change in North American snow depths throughout the fall and early winter. This springtime decreasing trend amplifies before reaching a peak in earlyto mid-April (-1.0 cm yr; p < 0.01). The region showing the greatest decreases in snow depth is central Canada, with slight increases in snow depth occurring during the fall and winter in central and western Alaska. A decrease in shallow snow cover (2-10 cm) during the late spring and early fall (May and October, respectively) is evident, while the extent of deeper snowpacks (>40 cm) is shown to decrease most rapidly during midto late winter (March-April). A principal component analysis of monthly snow depth shows coherent regions of interannual fluctuations in snow cover along the snow-free line during early winter and early spring, as well as along the leeward side of the Rocky Mountains into northern Alberta throughout the winter. During the fall and late spring, coherent regions exist in northern Canada.
User Experience Analysis of LinkedIn Social Media Using Usability Metric for User Experience (UMUX)

This article presents a user experience analysis of LinkedIn using the Usability Metric for User Experience (UMUX). The study aims to assess the usability and user satisfaction of LinkedIn, identify areas for improve-ment, and propose hypotheses for future research. The problem addressed in this research is the need to evalu-ate the user experience of LinkedIn, a popular professional networking platform. The solution offered is to uti-lize the UMUX metric as a comprehensive tool for assessing usability and user satisfaction. The objectives of the study are to measure the effectiveness, efficiency, satisfaction, and overall usability of LinkedIn, as well as to identify specific areas for improvement. Data were collected through online questionnaires from LinkedIn users. The UMUX scores were calculated, indicating a moderate level of user satisfaction and perceived usa-bility of LinkedIn. These findings suggest that LinkedIn is perceived as a useful platform for professional goals, but there is room for improvement in terms of efficiency and overall user satisfaction. Hypotheses for future research include enhancing efficiency to improve satisfaction, improving overall satisfaction for in-creased engagement and retention, and optimizing the mobile experience. The study provides valuable insights for LinkedIn to enhance user satisfaction, engagement, and usability. Further research can explore additional usability metrics and investigate the impact of implemented improvements.