Miracle-dz/UniFAR-FTUs huggingface dataset:
Indonesian New Exporter (INE) as a Training and Development Model Micro Small and Medium Enterprises (MSMEs) in The Field of Handicrafts

The Indonesian New Exporters (INE) program is a model for export development through training from upstream to downstream. Indonesia's handicraft export activities during the Covid-19 pandemic experienced a significant decline. A good strategy is needed in its development so that the handicraft sector MSMEs can enter the export market. This study aims to create a new exporter solution in the handicraft business sector. The method used in this paper is descriptive qualitative through learning by providing knowledge training and practice. The training includes the manufacture of new products, branding, displays, pricing, negotiations, delivery methods, completeness of export documents, and promoting handicraft products at the International Craft Exhibition. Material by preparing superior craft products according to global market demand. This research involved 20 MSMEs participants in Bantul Regency, Yogyakarta Special Region. MSMEs participants gain experience in preparing new handicraft products to export sales methods. The creation of handicraft products is adjusted to the growing trend in the world of export destinations. The results show that the training provided can increase the number of new entrepreneurs in the handicraft sector. New entrepreneurs who understand the mechanism of handicraft export can be formed correctly. INE offers clear directions for coaching and business development in the export-oriented handicraft sector. INE provides support and support in improving the community's welfare and economy and increasing the State's foreign exchange.
The carbonate compensation depth in the South Atlantic Ocean since the Late Cretaceous

Deep-sea carbonate deposition is a complex process that is encapsulated in the carbonate compensation depth (CCD)—a facies boundary separating calcareous sediments from non-carbonates. Knowing how the CCD has varied over time is important for understanding and predicting the distribution of seafloor sediments and assessing their role in the global carbon cycle. We focus on the South Atlantic Ocean where the most recent CCD curve is based on Deep Sea Drilling Project (DSDP) Leg 73 sites drilled in 1980 in the South Atlantic Ocean. We compute the South and central South Atlantic CCD from the Late Cretaceous to the present day using updated age models from 45 DSDP and Ocean Drilling Program sites and backtracking with lithology-specific decompaction, eustasy, and dynamic topography. Our models extend further back in time and show more fluctuations than previous reconstructions, with the CCD varying by hundreds of meters during a span of 2–3 m.y. The addition of eustasy and dynamic topography deepens the CCD by as much as 500 m between 74 Ma and 45 Ma, and by ~200 m during the Cenozoic. The central South Atlantic CCD diverges from the average South Atlantic CCD during the Eocene and Miocene, when it was ~1 km shallower. These regional deviations may be due to changes in primary productivity and/or carbonate dissolution leading to reduced carbonate accumulation rates. Our CCD curves highlight the importance of regional processes in carbonate deposition across the South Atlantic and provide improved constraints for the modeling of geochemical cycles.
Yield Performance of Spring Oats Varieties as a Response to Fertilization and Sowing Distance

The main objective of this paper is to evaluate the yield potential of 25 different varieties of oat as a reaction to seeding distance and fertilization for improvement of crop technology and identification of the most adapted varieties. Based ANOVA test, the main influence on yield is due to climate, followed by the amount of fertilizers. The sowing distance reveals its influence when combined with the fertilization, this aspect pointing out the differences between studied varieties. The triple interactions gradually reduce the influence of the factors, their combination being very significant in the case year X sowing distance X variety. The spatial comparative analysis of the three experimental years presents an overlap in the median area of the PCA ordering of the 12.5 cm sowing distance, fertilized with N50P50 with the 25 cm sowing distance fertilized with N100P50. There are differences between the oat varieties regarding the reaction to the nitrogen fertilization, highlighting especially the Mureşana variety where comparable yields are obtained on both levels of fertilization: 5.18 t ha−1 (N50P50) and 5.59 t ha−1 (N100P50).
Transthoracic ultrasound shear wave elastography for the study of subpleural lung lesions

Purpose The aim of this study was to assess whether new-generation shear wave elastography (SWE) is suitable for the characterization of lung subpleural lesions. Methods In total, 190 consecutive patients with subpleural lung lesions received ultrasonography and SWE. Patients with suspected malignancy underwent ultrasound-guided transthoracic needle biopsy. Final diagnoses were made on the basis of patients’ clinical course, microbiological studies, and histological results. SWE was also performed in 25 healthy volunteers. Results We found no statistically significant differences in stiffness between lung carcinomas, lung metastases, and pneumonia (P=0.296) or between different histological types of lung cancer (P=0.393). Necrosis was associated with reduced stiffness in pneumonia. Excluding necrotic lesions, pneumonia showed higher stiffness than lung carcinomas (2.95±0.68 m/s vs. 2.60±0.54 m/s, P=0.006). Chronic pneumonia showed increased stiffness (3.03±0.63 m/s), probably due to the presence of fibrotic tissue on histology. Pleural effusion was associated with a statistically significant reduction in stiffness, both in lung carcinomas (P=0.004) and lung metastases (P=0.002). The presence of air in healthy lung tissue may lead to incorrect speed estimates due to shear wave reflection (very high values, 14.64±2.19 m/s). Conclusion Transthoracic SWE could not distinguish lung malignancy from pneumonia, or between different histological types of lung carcinomas. In particular, SWE seems unable to resolve the clinical dilemma of chronic subpleural consolidations.
Design and Evaluation of User Interface Design of Mobile Heart Monitoring Application

Many mobile health applicationsincluding mobile heart monitoring applications are available on Apple App Store, and Google Play Store. However, when the user feels dissatisfied with the user interface design of the mobile heart monitoring application, it impacts user satisfaction level to the extent that the users do not use it anymore. User satisfaction level isa very important factor in usability to identify a mobile heart monitoring application whichis pleasant and comfortable forcontinuous use. This study recruited four cardiologists in a hospital in Palembang, Indonesia for evaluatingtheuser interface design ofa mobile heart monitoring prototype called HeartM. The prototype has several features including measuringpatient’s heart rate and blood pressurerate, treatment record, forum, and chat to ease communication between heart patients and their cardiologist. The focus of the user interface design evaluation are oncontent, visual and navigation aspects.This paper contributes to user interface design knowledge and design recommendations particularly for mobile heart monitoring applications.
Operational Analysis of Container Ships by Using Maritime Big Data

The shipping company or the operator determines the mode of operation of a ship. In the case of container ships, there may be various operating patterns employed to arrive at the destination within the stipulated time. In addition, depending on the influence of the ocean’s environmental conditions, the speed and the route can be changed. As the ship’s fuel oil consumption is closely related to its operational pattern, it is possible to identify the most economical operations by analyzing the operational patterns of the ships. The operational records of each shipping company are not usually disclosed, so it is necessary to estimate the operational characteristics from publicly available data such as the automatic identification system (AIS) data and ocean environment data. In this study, we developed a visualization program to analyze the AIS data and ocean environmental conditions together and propose two categories of applications for the operational analysis of container ships using maritime big data. The first category applications are the past operation analysis by tracking previous trajectories, and the second category applications are the speed pattern analysis by shipping companies and shipyards under harsh environmental conditions. Thus, the operational characteristics of container ships were evaluated using maritime big data.
An Integrative 3D printing method for rapid additive manufacturing of a capacitive force sensor

With the rapid development of the three-dimensional printing (3D printing) technique, several electronic devices have been fabricated by 3D printing. Compared with the traditional micro electromechanical system (MEMS) manufacturing processes, the 3D printing technique provides a convenient method to meet the customers’ personalized demands. However, the applications of 3D printing are restricted by the electrically insulating properties of the commonly used polymers. Besides, additional alignment and assembling processes are still indispensable to fabricate the MEMS devices with geometrically complex structures using the conventional 3D printers. In order to solve these problems, an integrative 3D printing approach for rapid manufacturing is presented in this paper. With a triple-extruder 3D printer, the electrically insulating polylactic acid (PLA) filament, the electrically conductive PLA filament, and the soluble high impact polystyrene filament can be printed alternately in the 3D printing process. As an application of the method, a capacitive force sensor with a relatively complex suspended beam-plate structure was fabricated in a one-step 3D printing process without using any additional metallization process, unloading–reloading filament process, alignment process, and assembling process. With a good dynamic performance, the 3D printed force sensor was used to monitor human’s blood pulse. The results show that the integrative 3D printing method has potential to meet the emerging requirement for manufacturing of MEMS devices for personalized applications.
A computer vision-based, in-situ springback monitoring technique for bending of large profiles

Bending processes have various advantages, such as less processing time, lower number of tooling parts, and cost compared to other manufacturing processes. However, one of the disadvantages of a bending process is the inevitable springback problem, which entails geometrical inaccuracy. Many researchers have made attempts to effectively measure springback in-line to control product quality and compensate for variability. While measurement tools and machines are available to measure springback, they might not be able to accommodate large products due to the size limit of measurement devices. Nevertheless, sensor-based monitoring is becoming critical to control product quality and to move towards Industry 4.0. In this paper, an in-situ springback monitoring technique for bending of large-size profiles is proposed to overcome the measurement restrictions for such profiles. A computer vision technique with the circular Hough transform was used to evaluate springback. The marked points on a profile were used to track the deformation of the workpiece. However, a weakness with image processing is to recognize the points from the complex background. Instead of employing global search for the points in an image frame, the marked points were detected by locally setting regions based on forming parameters such as a bending angle and stretching level. Springback was calculated by the change of position of those points. The results of springback monitoring were validated with the physically measured data from experiments. Based on this measurement technique, the feasibility of a computer vision-based springback monitoring in large-size profile bending is discussed in detail.
Substantial Climate Response outside the Target Area in an Idealized Experiment of Regional Radiation Management

Radiation management (RM) has been proposed as a conceivable climate engineering (CE) intervention to mitigate global warming. In this study, we used a coupled climate model (MPI-ESM) with a very idealized setup to investigate the efficacy and risks of CE at a local scale in space and time (regional radiation management, RRM) assuming that cloud modification is technically possible. RM is implemented in the climate model by the brightening of low-level clouds (solar radiation management, SRM) and thinning of cirrus (terrestrial radiation management, TRM). The region chosen is North America, and we simulated a period of 30 years. The implemented sustained RM resulted in a net local radiative forcing of −9.8 Wm−2 and a local cooling of −0.8 K. Surface temperature (SAT) extremes (90th and 10th percentiles) show negative anomalies in the target region. However, substantial climate impacts were also simulated outside the target area, with warming in the Arctic and pronounced precipitation change in the eastern Pacific. As a variant of RRM, a targeted intervention to suppress heat waves (HW) was investigated in further simulations by implementing intermittent cloud modification locally, prior to the simulated HW situations. In most cases, the intermittent RRM results in a successful reduction of temperatures locally, with substantially smaller impacts outside the target area compared to the sustained RRM.
Elastic properties of cubic X(BrO3)2 · 6H2O, X=Mg, Co, Ni, Cu, Zn

The elastic constants of the cubic bromate hexahydrates of Mg, Co, Ni, Cu and Zn and their temperature and pressure derivatives have been determined from ultrasonic resonance frequencies. The isotypic series exhibits common behaviour with respect to each of these properties. However, the magnesium salt shows a reduction of its elastic constants by a factor 0.9 compared to the other salts. The largest elastic constants are observed for the nickel salt which has a much higher dehydratation temperature than the other members of the isotypic series. The differences in the elastic behaviour between isotypic salts containing bivalent and trivalent cations seem to be a consequence of the different ionic radii.
Performance Study for Vertically Quad Gate Oxide Stacked Junction-less Nano-sheet

With technology scaling and to meet the desired design for low power and high-speed circuit, innovative design is being studied. The simulation study of vertical Quad gate oxide stacked junction-less Nano-sheet being a most promising device structure within a Nano scale regime, with the use of oxide, work function, and channel engineering for single, double, and triple ﬁns Nano-sheet have been successfully demonstrated and implemented. From the reference model of tri-gate junction-less (TGJLFET) the structure is modiﬁed with a new design approach the with same design parameters. The First approach is by adding the fourth gate to the TGJLFET structure forms a new structure of quad gate junction-less Nano-sheet. The second approach is by extending the ﬁns and adding source and drain pads with an underlap structure. The Third approach is adding the ﬁn stacking and the fourth approach is adding gate oxide stacking to three ﬁns vertical quad gate oxide stacking junction-less Nano-sheet (QGOSJLNS), all the approaches are simulated using a 3D visual TCAD environment. The improvement in the performance of the Nano-sheet device is denoted after comparing it with TGJLFET. Investigated performance includes leakage current, sub-threshold swing (SS), Drain induced barrier lowering (DIBL), threshold voltage (Vth), transconductance (Gm), the potential at core and surface ﬁns of the Nano-sheet. Further, DC analysis of 3D QGOSJLNS an inverter is simulated and studied using 3D V-TCAD environment from Cogenda Pvt Ltd.
When does the story matter? No evidence for the foregrounding hypothesis in math story problems

Math story problems are difficult for many solvers because comprehension of mathematical and linguistic content must occur simultaneously. Across two studies, we attempted to conceptually replicate and extend findings reported by Mattarella-Micke and Beilock (2010, https://doi.org/10.3758/PBR.17.1.106) and Jarosz and Jaeger (2019, https://doi.org/10.1002/acp.3471). Mattarella-Micke and Beilock found that multiplication word problems in which an irrelevant number was associated with the protagonist of the problem (i.e., foregrounded in the text) were solved less accurately than problems in other conditions. Jarosz and Jaeger used similar materials but tested the more general inconsistent-operations hypothesis that association with the protagonist would interfere with multiplication whereas dissociation would interfere with division. They found partial support: When division problems were primed with dissociative scenarios, solvers made more errors, but they failed to replicate the associative findings for multiplication. In the present research, we conducted two studies (Ns = 205 and 359), in which we similarly manipulated whether irrelevant content was associated with or dissociated from the story protagonist. In these studies, we did not find support for either the foregrounding or inconsistent-operations hypotheses. Exploratory error analyses suggested that solvers’ errors were most often the result of calculation difficulties or inappropriate operation choices and were unrelated to the presence of associative or dissociative story elements. Our careful implementation of this manipulation and much greater power to detect effects suggests that the association manipulation in irrelevant text does not influence adults’ performance on simple math story problems.
Monsters in the city: multiple deformities increase in terrestrial-breeding urban salamanders

Amphibians are subjected to an assortment of environmental stressors responsible for their population declines and malformations. Deciphering the underlying causes of amphibian deformities is challenging due to the complex nature and interplay among factors. We evaluated morphological deformities in 9 urban and 9 woodland populations of terrestrial-breeding fire salamanders. We report several types of malformations and higher incidences among urban populations. This model system allowed us to tease apart some of the common factors responsible for amphibian deformations, suggesting airborne/terrestrial pollutants, predation, and/or inbreeding as potential environmental stressors. Yet, the putative underlying factors of fire salamander deformities need to be properly addressed in thorough studies linking habitat quality and the prevalence of morphological abnormalities, as well as predator-prey interactions. Reporting deformation rates among amphibians is key to identify warning signals of population declines and preventing local extinctions.
TRUNAJOD: A text complexity library to enhance natural language processing

We present TRUNAJOD, a text complexity analysis tool that includes a wide variety of linguistics measurements that can be extracted from texts as an approximation for readability, coherence, and cohesion. The features that TRUNAJOD can extract from the text are based on the literature and can be separated into the following categories: discourse markers, emotions, entity gridbased measurements, givenness, lexical-semantic norms, semantic measures, surface proxies, etc. In this first version of TRUNAJOD, we mainly support the Spanish language, but several features support any language that has proper natural language processing POS tagging and dependency parsing capabilities. Finally, we show how TRUNAJOD could be used in applied research.
Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players?

This study examined the physical fitness, anthropometry, and throwing velocity of normal weight and overweight male team handball players. Twenty-five players from the Qatar handball first professional league participated. The anthropometry and physical performance—yo-yo intermittent recovery test, jumping ability (squat and countermovement jumps (SJ and CMJ)), T-half test for change-of-direction (COD) ability, sprint tests (15 and 30 m), and 3 kg medicine ball overhead throw—was measured. The handball-throwing velocity was measured using a three-step running shot and a jump shot. Only the CMJ (p = 0.016, ηp2 = 0.227) was different between the normal and overweight subjects. Two-step linear regression analysis using body height and body mass (step 1) and percentage body fat (%BF) (step 2) predictors showed an increase in the explained variance by adding %BF. The largest r2 change was calculated for COD (0.53). The predictive ability was observed for CMJ (step 1: r2 = 0.18, step 2: r2 = 0.22) and SJ (step 1: r2 = 0.05, step 2: r2 = 0.09). With the exception of the sprint parameters (β-coefficient 15 m sprint: −0.07; β-coefficient 30 m sprint: −0.06) and COD (β-coefficient: −0.09), a lower %BF was associated with greater performance in all parameters. %BF seems to be important for predicting sprint and agility performance.
Comparison of Hydrocarbon-Degrading Consortia from Surface and Deep Waters of the Eastern Mediterranean Sea: Characterization and Degradation Potential

The diversity and degradation capacity of hydrocarbon-degrading consortia from surface and deep waters of the Eastern Mediterranean Sea were studied in time-series experiments. Microcosms were set up in ONR7a medium at in situ temperatures of 25 °C and 14 °C for the Surface and Deep consortia, respectively, and crude oil as the sole source of carbon. The Deep consortium was additionally investigated at 25 °C to allow the direct comparison of the degradation rates to the Surface consortium. In total, ~50% of the alkanes and ~15% of the polycyclic aromatic hydrocarbons were degraded in all treatments by Day 24. Approximately ~95% of the total biodegradation by the Deep consortium took place within 6 days regardless of temperature, whereas comparable levels of degradation were reached on Day 12 by the Surface consortium. Both consortia were dominated by well-known hydrocarbon-degrading taxa. Temperature played a significant role in shaping the Deep consortia communities with Pseudomonas and Pseudoalteromonas dominating at 25 °C and Alcanivorax at 14 °C. Overall, the Deep consortium showed a higher efficiency for hydrocarbon degradation within the first week following contamination, which is critical in the case of oil spills, and thus merits further investigation for its exploitation in bioremediation technologies tailored to the Eastern Mediterranean Sea.