Miracle-dz/UniFAR-FTUs huggingface dataset:
Pengembangan Aplikasi Bergerak Berbasis Augmented Reality Untuk Orientasi Mahasiswa Baru Fakultas Teknologi Industri Universitas Islam Indonesia

Universitas Islam Indonesia adalah kampus swasta ternama yang bertempat di Yogyakarta. Universitas islam indonesia atau biasa disebut UII merupakan salah satu kampus yang melaksanakan kegiatan orientasi bagi mahasiswa barunya, kegiatan orientasi mahasiswa baru pada Universitas islam indonesia dilakukan pada dua tingkatan, yaitu tingkatan universitas dan tingkatan fakultas. PETA adalah sebutan untuk kegiatan orientasi mahasiswa baru fakultas teknologi industri universitas islam indonesia. Minimnya digitalisasi pada kegiatan PETA menjadi dasar pengembangan apllikasi bergerak yang dikembangkan menggunakan metode design thinking ini. Selain itu melihat dari kegiatan PETA pada tahun-tahun sebelumnya, antusiasme dari peserta kegiatan PETA masih dirasa kurang sehingga pembuatan aplikasi bergerak berbasis augmented reality ini diharapkan bisa meningkatkan antusiasme dari peserta kegiatan PETA Penggunaan unity dan vuforia SDK menjadi tools utama dalam pengembangan aplikasi bergerak ini sehingga menghasilkan aplikasi bergerak berbasis augmented reality yang berfungsi dengan baik. Dan mendapat nilai keseluruhan 80 dari percobaan pada responden yang merupakan panitia dan peserta kegiatan PETA tahun 2022
Easter Island Subsistence.

La recherche conduite sur les sites d'habitats de l'ile de Pâques fournit des preuves sur les ressources alimentaires de base aux periodes pre- et protohistoriques. ; Les donnees quantifiees sur la faune trouvee dans les dechets, permettent d'evaluer leur validite comme indicateurs de l'importance relative des ressources terrestres et marines dans l'alimentation ainsi que pour les evaluations demographiques. ; Un examen des recherches specialisees dans le Pacifique sur les moyens de subsistance comprend des discussions sur les premiers essais de determination qualitative des constituants de base puis de la quantification des donnees sur la faune et les autres ressources, ensuite, des considerations sur le developpement de l'economie prehistorique et, enfin, un bilan des points de vue fournis par les approches ethno-archeologiques. ; L'examen des travaux anterieurs realises sur l'ile de Pâques ne fournit que tres peu de donnees quantifiees sur les ressources. ; Ces travaux fournissent des donnees quantifiees sur la faune pour trois groupes d'aliments importants : dechets de poissons, de volailles et coquillages. Des mesures de l'hydratation de l'obsidienne fournissent des datations proches de nous et plusieurs sites ont ete occupes de maniere echelonnee depuis 1200 apres J.C. jusqu'a nos jours. ; L'identification des especes de poisson a partir des vestiges osteologiques, bien que reduite par une collection de reference incomplete permet cependant de reconnaitre les methodes de peche et la technologie utilisees. ; Les donnees confirment la faiblesse de la peche hauturiere (especes pelagiques) et la grande importance de la volaille comme source de proteines. Les coquillages n'ont jamais constitue l'alimentation de base a cause de leur petite taille. On peut avancer maintenant une definition preliminaire des strate- gies alimentaires developpees par les habitants de l'ile de Pâques. ; Cet article est destine a fournir des elements contribuant a preciser les estimations demographiques. Ceci permettra une meilleure comprehension des relations entre les niveaux de technologie et les elements caracteristiques de subsistance ainsi qu'a une prise en consideration de l'importance relative des produits domestiques comparee aux ressources de cueillette, sur l'ile de Pâques et dans le Pacifique en general.
Environmental Factors Affecting Distribution and Diversity of Phytoplankton in the Irkutsk Reservoir Ecosystem in June 2023

Studying correlations between phytoplankton communities and environmental factors is critical for understanding how aquatic ecosystems function. The high sensitivity of phytoplankton to changes in these factors makes it possible to control the state of the ecosystem of water bodies. Artificial lakes often demonstrate increased trophic status, inducing changes in phytoplankton structure. In this paper, we studied phytoplankton in June 2023 (hydrological spring) in two ecosystems, South Baikal and the Irkutsk Reservoir, that are connected by a water course but have different environmental parameters. The gradient of environmental parameters from the lake towards the reservoir revealed peculiarities in the distribution of some microalgae species. Microscopy and statistical analysis showed that water temperature was the most important factor affecting the structure of the communities. The warmer water of the reservoir, in contrast to the lake, demonstrated a twofold increase in species number, abundance, and biomass. Downstream from the reservoir, we observed a succession in the dominating Baikal species complex, its supplementation, and replacement with other species typical of the summer period and Baikal bays. The trophic status of the reservoir during the study may be described as oligotrophic, with local traits of mesotrophicity; its water refers to Class I and Class II and may be qualified as clean.
A review of uncertainty in in situ measurements and data sets of sea surface temperature

Archives of in situ sea surface temperature (SST) measurements extend back more than 160 years. Quality of the measurements is variable, and the area of the oceans they sample is limited, especially early in the record and during the two world wars. Measurements of SST and the gridded data sets that are based on them are used in many applications so understanding and estimating the uncertainties are vital. The aim of this review is to give an overview of the various components that contribute to the overall uncertainty of SST measurements made in situ and of the data sets that are derived from them. In doing so, it also aims to identify current gaps in understanding. Uncertainties arise at the level of individual measurements with both systematic and random effects and, although these have been extensively studied, refinement of the error models continues. Recent improvements have been made in the understanding of the pervasive systematic errors that affect the assessment of long‐term trends and variability. However, the adjustments applied to minimize these systematic errors are uncertain and these uncertainties are higher before the 1970s and particularly large in the period surrounding the Second World War owing to a lack of reliable metadata. The uncertainties associated with the choice of statistical methods used to create globally complete SST data sets have been explored using different analysis techniques, but they do not incorporate the latest understanding of measurement errors, and they want for a fair benchmark against which their skill can be objectively assessed. These problems can be addressed by the creation of new end‐to‐end SST analyses and by the recovery and digitization of data and metadata from ship log books and other contemporary literature.
The Sea Slug Tethys fimbria Linnaeus, 1767 (Nudibranchia: Tethydidae) Expands its Distribution Northwards to the Sea of Marmara

This study reports our observation of the large sea slug Tethys fimbria Linnaeus, 1767 in the north-ern-eastern Sea of Marmara (the Princes’ Islands). We observed T. fimbria on the detrital bottom of the sea at a depth of 35 m in June 2022. This species had previously been reported during spawning in a recent study conducted in the southern part of the Çanakkale Strait (the Dardanelles Strait that connects the Marmara Sea with the Aegean Sea). Prior to 2022 there had been no reports of this conspicuous species from the Marmara Sea in the scientific literature or in photo-records among divers. Following our observation of the species in the sea around the Princes’ Islands, underwater photographers reported pictures of T. fimbria from different locations in the Marmara Sea on social media platforms. The sea slug seems to extend its distribution northwards. The potentially new arrival of the large sea slug in the Sea of Marmara, rather than a distribution shift from deox-ygenated deep Marmara basins or a climate-related northwards expansion, is discussed.
Hemispheric snow water equivalent: The need for a synergistic approach

Snow plays a crucial role in climatological and hydrological processes, and it is a key factor in modulating energy, water, and carbon budgets. The optically bright snow-covered surface regulates the amount of solar radiation absorbed by the Earth, which influences regional energy budgets. Snow water equivalent (SWE), the amount of water stored within the snowpack, has wide-ranging effects: playing a critical role in the management of water resources and hydropower production, influencing the soil temperature through thermally insulating properties, and affecting the ability of rangifers (i.e., caribou) to efficiently forage for food. These are some examples of the importance of estimating snow depth and SWE across regional and hemispheric scales.
Mathematical Modeling of Dynamic Interactions in Green Energy Transition for Economic and Environmental Sustainability

In the pursuit of a harmonious coexistence between economic growth and environmental sustainability, this paper delves into the intricate realm of "Mathematical Modeling of Dynamic Interactions in Green Energy Transition for Economic and Environmental Sustainability. " Building upon the foundational contributions of Polimeni, Mayumi, Giampietro, and Alcott (2008), we navigate a complex mathematical landscape where equations articulate the interplay of energy consumption (E), economic production (P), and carbon emissions (C). As the equations come to life, they illuminate pathways that offer theoretical insights into the intricate dynamics at play. These pathways, shaped by nuanced parameters, provide a theoretical foundation to decipher the complex interactions between renewable technologies, economic growth, and environmental balance. Guided by the perspectives of Edenhofer et al. (2014) and Grubler (1998), we transcend equations to explore the strategic realm where policies and strategies find their genesis. The theoretical insights unearthed through this exploration serve as guiding lights for policymakers and stakeholders. Armed with this theoretical compass, policymakers navigate the complexities of green energy transition, crafting interventions that resonate with the rhythm of sustainable progress. These insights enrich the spectrum of strategies aimed at fostering economic prosperity without compromising the delicate equilibrium of the environment. Within the symphony of design, theory metamorphoses into actionable strategies, intricately woven into the fabric of growth and sustainability. This paper underscores the pivotal role of theoretical frameworks in shaping effective policies and strategies, providing a roadmap for a future where equilibrium and progress dance in synchrony.
Interpreting pore-water pressure changes induced by water table fluctuations and mechanical loading due to soil moisture changes

Pore pressures within saturated subsurface formations respond to stress changes due to loading as well as to changes in pore pressure at the boundaries of the formation. The pore-pressure dynamics within a thick aquitard in response to water table fluctuations and mechanical loading due to soil moisture changes have been simulated using a coupled stress–strain and groundwater flow finite element formulation. This modelling approach isolates the component of pore-pressure response of soil moisture loading from that caused by water table fluctuations, by using a method of superposition. In this manner, the contributions to pore-pressure fluctuations that occur as a result of surface moisture loading (e.g., precipitation, evapotranspiration) can be isolated from the pore-pressure record. The required elastic stress–strain properties of the aquitard were obtained from the measured pore-pressure response to barometric pressure changes. Subsequently, the numerical simulations could be calibrated to the measured.
Effect of Pro-kin visual feedback balance training on balance function of individuals with early Parkinson's disease: a randomized controlled pilot trial

Background Parkinson's disease (PD) is the second most common neurodegenerative disease. Patients often present with balance dysfunction. Several studies have applied visual feedback training to stroke patients and demonstrated significant improvement. However, the application of visual feedback balance training in PD patients has not been reported. Objective To observe the effects of visual feedback balance training combined with conventional rehabilitation training on the balance function of patients with early PD. Methods Fifty patients with early PD were randomly divided into control group and observation group. The control group received conventional rehabilitation training, including body position transfer, weight shifting, movement in all directions and gait training. The observation group were added with visual feedback balance training on the basis of the training above. All patients were trained 5 times per week for 4 weeks. Berg Balance Scale (BBS), Time Up-and-Go test (TUG) and Pro-Kin balance training instrument were used to evaluate the balance function of patients before and after treatment, and the balance function were compared between the two groups. Results The BBS and TUG scores of the observation group and the control group were improved significantly (P<0.01), and the BBS and TUG scores of the observation group were improved more obviously than control group (P<0.01). The length and area of eye open and closed condition in the observation group and the control group were significantly reduced compared with those before training (P<0.01), and the degree of reduction in the observation group was more obvious (P<0.01). The length and area of the observation group and the control group before and after training when eye open were smaller than those when eye closed (P<0.01). Conclusion The conventional rehabilitation therapy can improve the balance function of PD patients, but the combination of visual feedback balance training and conventional rehabilitation therapy can improve the balance function more significantly.
Revealing the Potential of Deep Learning for Detecting Submarine Pipelines in Side-Scan Sonar Images: An Investigation of Pre-Training Datasets

This study introduces a novel approach to the critical task of submarine pipeline or cable (POC) detection by employing GoogleNet for the automatic recognition of side-scan sonar (SSS) images. The traditional interpretation methods, heavily reliant on human interpretation, are replaced with a more reliable deep-learning-based methodology. We explored the enhancement of model accuracy via transfer learning and scrutinized the influence of three distinct pre-training datasets on the model’s performance. The results indicate that GoogleNet facilitated effective identification, with accuracy and precision rates exceeding 90%. Furthermore, pre-training with the ImageNet dataset increased prediction accuracy by about 10% compared to the model without pre-training. The model’s prediction ability was best promoted by pre-training datasets in the following order: Marine-PULSE ≥ ImageNet > SeabedObjects-KLSG. Our study shows that pre-training dataset categories, dataset volume, and data consistency with predicted data are crucial factors affecting pre-training outcomes. These findings set the stage for future research on automatic pipeline detection using deep learning techniques and emphasize the significance of suitable pre-training dataset selection for CNN models.
Structural results for La Palma island using 3‐D gravity inversion

[1] A recent gravity survey composed of 317 bench marks all over the island of La Palma (Canary Islands) is used, in combination with satellite data for regional aspects, to obtain results about structural properties of the island connected with the tectonic environment and local volcanism. To that end, a nonlinear three-dimensional gravity inversion approach is considered. The inversion scheme provides, in a nonsubjective form, the geometry of the anomalous bodies constructed in a random growth process. Results from the inversion can be interpreted in the framework of the geologic evolution of this ocean island volcano as a complex composite volcano with a large central body with high-density corresponding to the older intrusive part of the basalt complex. New unexpected features are enlightened, such as large thermal anomalies in the upper mantle southward of La Palma, as well as fracture en echelon zones associable to a slow active process of dislocation related to the recent volcanism in the southern half of the island. The results obtained for La Palma as a test site testify to the usefulness of the developed gravity inversion methodology for structural studies on islands in general.
FXR1 knockdown inhibits the malignant behavior of colorectal cancer by suppressing epithelial-tomesenchymal transition

Purpose: To determine the role of Fragile X-related protein-1 (FXR1) in colon cancer progression and its relationship to patients’ survival.Methods: A total of 164 colorectal cancer (CRC) patients, admitted to the Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China between 2006 and 2008, were included in this study. Immunohistochemistry was used to semi-quantitatively analyze the intensity and extent of immunological staining of diaminobenzidine-stained paraffin blocks of CRC samples. The study also retrieved COAD mRNA and patients’ clinical data from TCGA and cultured human colon cancer cell lines (SW480, SW620, HCT8, HCT116, and Caco2) in RPMI 1640 medium to assess the propensity of CRC cells to proliferate, invade the tumorigenicity in BALB/c nude mice.Results: The prognosis of CRC patients was inversely linked with the expression of FXR1. Additionally, FXR1 knockdown in CRC cells reduced cellular growth, colony development and tumorigenesis. After presenting BALB/c nude mice with tumors in FXR1 knockdown, the cells displayed higher E-cadherin levels (p < 0.01) as well as decreased TGF-1 (p < 0.01) and N-cadherin levels (p < 0.001). Conclusion: Fragile X-related protein-1 is an oncogene in colon cancer and its knockdown inhibits HCT116 cells from behaving malignantly. Thus, FXR1 is a potential treatment option for CRC.
Novel spherical panorama creating algorithm based on curve surface mosaic

This paper presents a novel algorithm based on curve surface mosaic, to create a full view spherical panorama from image sequences. The work is concentrated on sphere projection, blank holes elimination, global illumination alignment and curve patch stitching. When in projection, a special longitude-latitude-curve-patch is proposed to describe the projective image to avoid info losing and wrinkle unwrapping that occurred in some traditional methods. Then a way of "inverse-interpolation" is applied to eliminate projective blank holes caused by discrete calculation. To achieve global illumination alignment for patches with great illumination differences, a novel method of "dispersing cumulative error" is presented. It overcomes the shortcoming of traditional ways that are only for neighboring illumination alignment. The final stitching of curve patches is accomplished by using a matching method based on image feature, and a smooth seamless spherical panorama is gained. The whole algorithm runs automatically, which has high performance in illumination alignment and spherical mosaic. It is valuable in practical application.
Automatic Multi-Camera Calibration and Refinement Method in Road Scene for Self-Driving Car

In autonomous driving applications, the calibration accuracy of the camera can directly affect the accuracy of perception or depth estimation. For online calibration of surround-view cameras, traditional feature extraction-based methods will suffer from strong distortion when the initial extrinsic parameters error is large, making these methods less robust and inaccurate. More existing methods use the sparse direct method to calibrate multi-cameras, which can ensure both accuracy and real-time performance and is theoretically achievable. However, this method requires a better initial value, and the initial estimate with a large error is often stuck in a local optimum. To this end, we introduce a robust automatic multi-cameras (pinhole or fisheye cameras) calibration and refinement method in the road scene. We utilize the deviable coarse-to-fine random-search strategy, and it can solve large disturbances of initial extrinsic parameters, which can make up for falling into local optimal domainin nonlinear optimization methods. In the photometric optimization stage, we add the weight of image adaptive binarization to solve the error caused by different camera exposure problems. To address the impact of non-roads on optimization, we use a road segmentation module instead of artificially specified fixed optimization regions. In the end, quantitative and qualitative experiments are conducted in actual and simulated environments, and the result shows the proposed method can achieve accuracy and robustness performance.
THE IMPLEMENTATION OF CORPORATE SOCIAL RESPONSIBILITY (CSR) BY DHL AND SF-EXPRESS: A COMPARATIVE ANALYSIS IN GERMANY AND CHINA

The main objective of this article is to conduct a literature review on the concept of CSR and to evaluate its implementation in large business operators by analyzing and comparing descriptive statistics. The analysis is conducted using secondary data shared by the chosen business operators. The businesses chosen as cases are two large courier companies: DHL in Germany and SF-Express in China. Statistical tools are utilized in data analysis. The study has significant value for presenting the effectiveness of the practice of CSR in similar firms. The article also provides a comprehensive literature overview of the concept of CSR.
The saturation of LANDSAT MSS detectors over large ice masses

Abstract LANDSAT provides synoptic imagery for the study of large ice masses in the inaccessible polar regions. Even minor ice surface topographic detail can be identified as differences in relative brightness. However, radiance from such surfaces can be greater than the maximum MSS detector calibration. This results in detector saturation and consequent loss of information. Using MSS digital data from snow surfaces in both polar regions, corrected to radiance values to account for detector calibration changes, a model relating detector saturation in each MSS band to changes in Sun elevation is presented. Band 5 becomes saturated at the lowest Sun angles whereas band 7 remains unsaturated in all imagery examined. Secondary factors affecting detector saturation are atmospheric haze, the magnitude and orientation of surface slopes, variations in detector calibration and the character of the surface. Given a knowledge of the Sun elevation at which each band becomes saturated over large ice masses (of low gra.