Miracle-dz/UniFAR-FTUs huggingface dataset:
Security analysis of the data of social networks using AI techniques

This proposed research explores the potential of AI techniques, particularly user engagement prediction, for analyzing social network data and identifying potential security threats. Utilizing a Random Forest classifier, we developed a highly accurate model achieving 100% accuracy and a 1.0 AUC-ROC score. This exceptional performance demonstrates the ability of engagement prediction to accurately flag suspicious accounts with unusually low engagement, often associated with bots or fake profiles. Based on these findings, we implemented mitigation strategies such as flagging low-engagement accounts for further investigation and analyzing engagement trends to inform proactive security measures. Furthermore, our work opens doors for future research in combining engagement prediction with other AI techniques like sentiment analysis for even more sophisticated threat detection, ultimately contributing to the development of robust solutions for enhanced social network security and user privacy protection.
Study of a CICC Copper Jacket Junction for MADMAX

For the Magnetized Disc and Mirror Axion eXperiment (MADMAX) project (Caldwell et al. 2017), we need some junctions between the coil double pancakes and with the current leads. MADMAX coils are skateboard double pancakes (Caldwell et al. 2017) placed in a static superfluid helium bath. For the first mock-up coil, called MAdmax Coil for Quench Understanding (MACQU), the current lead junctions were based on the W7X box design, but we got some limitation in these boxes at 80% of the critical current due to bad current distribution. To avoid this issue, for the MADMAX junctions design, we tried the simplest solution for a copper jacket cable in conduit conductor that consists to directly solder both jackets together. We made some resistance measurements on the MACQU mock-up conductor, and we defined semi-analytic formulae to extrapolate the result to the MADMAX conductor.
Surface reconstruction based on forest terrestrial LiDAR data

Au cours des dernieres annees, la capacite de la technologie LiDAR a capturer des informations detaillees sur la structure des forets a attire une attention croissante de la part de la communaute des ecologues et des forestiers. Le LiDAR terrestre, notamment, apparait comme un outil prometteur pour recueillir les caracteristiques geometriques des arbres a une precision millimetrique.Cette these etudie la reconstruction de surface a partir de nuages de points epars et non structures, captures en environnement forestier par un LiDAR terrestre. Nous proposons une suite d’algorithmes dedies a la reconstruction de modeles d’attributs de placettes forestieres : le sol etla structure ligneuse des arbres (i.e. troncs et branches principales). En pratique, nos approches modelisent le probleme par des surfaces implicites construites a partir de fonctions a base radiale pour faire face a la forte heterogeneite spatiale du nuage de points Lidar terrestre.
Comparison of Loading Dose between Aflibercept and Faricimab for Neovascular Age-Related Macular Degeneration

Background: Recently, faricimab was approved as the new drug for neovascular age-related macular degeneration (nAMD). We lack the knowledge to choose between the existing drug and this new drug to use for treatment-naïve nAMD cases. In this study, we compared the functional and morphologic effects in loading dose between patients with treatment-naïve nAMD treated with either intravitreal aflibercept (IVA) or intravitreal faricimab (IVF) injection in a clinical setting. Method: This retrospective study included 30 eyes of 28 patients who started treatment with IVA between June and September 2022 and 30 eyes of 29 patients who were administered IVF between October 2022 and March 2023. All patients received three monthly IVA or IVF. The best corrected visual acuity (BCVA), central retinal thickness (CRT), and the proportion of eyes with residual exudative change at baseline and 1,2, and 3 months after initial treatment were compared between the groups. Results: The mean BCVA significantly improved from pre-treatment after the loading dose in the IVA group (0.46 ± 0.46–0.36 ± 0.37, p = 0.0047) but not in the IVF group (0.46 ± 0.41–0.44 ± 0.45, p = 0.60). The mean CRT significantly improved in both groups. The proportion of eyes with residual exudative change was greater in the IVF group than in the IVA group 2 months after the first treatment (p = 0.026). The analysis of cases that achieved complete resolution of exudative changes after the loading dose showed that the IVA group had a significant improvement in the BCVA, whereas the IVF group did not (p = 0.0047 and 0.20, respectively). Conclusions: Although both IVA and IVF significantly improved CRT, the BCVA improved significantly in the IVA group but not in the IVF group.
Study on the Seismic Fortification Parameters in the Loess Plateau of Eastern Gansu Province

The feature of earthquake ground motion parameters of loess plateau in the eastern Gansu province are analyzed on the basis of geological tectonic environment,historic earthquake influence,building damaging features and earthquake risk probability calculation.The amplification factor and landform zoning of the seismic parameters are studied by the seismic response analysis of loess site and topography characters.The research shows that the earthquake impact is mainly caused by strong earthquake from long distance and the earthquake duration time of ground motion is longer in which the long-period component is abundant.The thick loess and landform have significant amplification to the earthquake ground motion and the seismic parameters have landform zoning behavior.Comparison with the seismic ground motion parameter zonation map,some suggestions to the seismic fortification parameters are proposed for the loess plateau in eastern Gansu province.
Effects of different land uses and land mulching modes on runoff and silt generations on Loess slopes

The paper studies the patterns of runoff and silt generations in different types of slopland, which are of great importance to quantitatively evaluate the efficiency of water and soil conservation by forests and grasses. Using the data of the ten runoff plots located in the Chaijiachuan catchments of Jixian county, Shanxi, the paper analyzes the effects of different land uses and land-mulching mode on runoff and silt generations and elicits that grassland has a weaker capacity to retain rainstorm water than arbor and shrub forestlands do; farmland(slope farmland) is the major land type suffering from slope surface erosion, and natural arbor forests and mixed forests have remarkably higher erosion-preventing capacity than purely artificial forests; the forests of water and soil conservation have a remarkably higher runoff-impounding capacity than cash forests.
PEMBERIAN LATIHAN SENAM LOW IMPACT UNTUK MENINGKATKAN KESEHATAN REPRODUKSI BAGI MAHASISWI JURUSAN FISIOTERAPI POLTEKKES KEMENKES JAKARTA 3

Background: Primary dysmenorrhea is a physical disorder characterized by feelings of pain in women who are menstruating in the form of abdominal pain/cramps that are not caused by pathological conditions of the gynecological system. The cramps are mainly felt in the lower abdominal area and spread to the back or inner surface of the thighs. This pain usually disrupts the student's learning process. Several non-pharmacological treatments can reduce pain intensity. To reduce the intensity of primary dysmenorrhea pain, low impact aerobic exercise can be done for students in the second semester of the Health Polytechnic, Ministry of Health, Jakarta 3. Objective: providing training and assistance in implementing low impact gymnastics for female students. Method: In this program, several activities are carried out including: identification of personnel, facilities and infrastructure, training activities and assistance in implementing low impact exercise for female students. Results: This Community Service activity consists of providing demonstrations of low impact aerobic exercise and providing exercise assistance to respondents. This activity was carried out in September and October 2021 at the Poltekkes Kemenkes Jakarta 3. Conclusion: Community service activities in the form of demonstrations of low impact aerobic exercise and student mentoring activities were carried out well. Key words: low impact exercise, reproductive health
Testing of multidimensional tectonomagmatic discrimination diagrams on fresh and altered rocks

Abstract We evaluated 55 multidimensional diagrams proposed during 2004-2013 for the tectonic discrimination of ultrabasic, basic, intermediate, and acid magmas. The Miocene to Recent rock samples for testing the diagrams had not been used for constructing them. Eighteen test studies (2 from ocean island; 2 from ocean island/continental rift; 6 from continental rift; 4 from continental arc; 2 from island arc; 1 from mid-ocean ridge, and 1 from collision) of relatively fresh rocks fully confirmed the satisfactory functioning of these diagrams for all tectonic fields for which they were proposed. Eight additional case studies on hydrothermally altered or moderately to highly weathered rocks were also presented to achieve further understanding of the functioning of these diagrams. For these rocks as well, the diagrams indicated the expected tectonic setting. We also show that for testing or using these diagrams the freely-available geochemistry databases should be used with caution but certainly after ascertaining the correct magma types to select the appropriate diagram sets. The results encourage us to recommend these diagrams for deciphering the tectonic setting of older terranes or areas with complex or transitional tectonic settings.
Improving our Understanding of Bioaccumulation in Humans, Fish and Surrogate Lipid Systems

The accumulation of polychlorinated biphenyls (PCBs) into humans was described using CoZMoMAN, a mechanistic multimedia fate and transport model coupled to a human food chain model. Model results demonstrated that concentration-age relationships for population crosssections and individuals over time are not equivalent and that, under steady-state conditions, the lipid-normalized concentration of PCBs in an individual does not monotonically increase with age. By considering the decades-long emission history of PCBs in the model simulations, it was shown that an individual’s concentration mostly depends upon when she/he was born relative to the peak in emissions. Similarly, the two most influential factors controlling the shape of crosssectional concentration-age trends obtained in human biomonitoring studies are the time lapse between the peak in emissions and sample collection and chemical elimination half-life. As a result, it should be possible to deduce information on these two factors from the shape of crosssectional concentration-age trend. Reproductive behaviours (parity, age at birth, breastfeeding) were shown to potentially have a significant impact on exposure (and can contribute substantially to the observed variability in biomonitoring studies) though the mother’s reproductive history has a greater influence on the prenatal and postnatal exposures of her children than it does on her own cumulative lifetime exposure. A case study of the influence of dietary transitions in a hypothetical Arctic community demonstrated that dietary transitions are an important factor underlying the variability in PCB body burdens within and between subpopulations in addition to partially explaining the observed temporal trends.
Nitrate Transport in Shallow Flow Systems at the Neuse River Waste Water Treatment Plant

FOUNTAIN, MATTHEW JOHN. Nitrate transport in shallow flow systems at the Neuse River Waste Water Treatment Plant. (Under the direction of William Showers.) In recent years a number of studies have indicated that riparian buffers have a high efficiency of nitrogen removal from shallow groundwater flow systems. However, little work has focused on establishing what relative effect field drainage streams may have on allowing contaminated water to bypass these riparian buffer systems. Even less attention has been focused on how storm event hydrology may affect these systems in terms of nitrate flux. Three groundwater monitoring well transects were installed in a riparian buffer and a weir flow control structure was installed on a surface drainage bordering a waste application field at the Neuse River Waste Water Treatment Plant. This application field has been in use for over 20 years. Well water and surface water were sampled for a year beginning in February 2005. Samples were analyzed for nitrate, chloride, silicate, ammonium, and phosphate concentrations as well as natural abundance nitrate-nitrogen, nitrate-oxygen, water-oxygen, and water-hydrogen stable isotope ratios. Water quality measurements were made through the transition from dormant to growing season and from high to low water table gradients and elevations. The summer and fall of 2005 were a time of extreme drought in the region and allowed examination of low flow conditions and system recovery to normal flow patterns. The buffer groundwater ion concentrations and nitrogen isotope compositions remained extremely consistent throughout the different conditions. Nitrate concentration 10 m inside the buffer averaged 33.7 mgN/L and 20 m farther into the buffer at wells 6 m from the river edge averaged 0.30 mgN/L, for a nitrate reduction of 99.1% after factoring in rainwater dilution (approximately 34.8%) calculated from chloride data. This study indicates that even shallow groundwater systems at 3-5m of depth can experience high efficient nitrogen removal by denitrification in riparian buffer zones. The surface drainage system transitioned from low flow rates and nitrate concentrations in the dry summer and fall, to high flow rates and high nitrate concentrations in the higher water table elevations of the winter months. During rain events significant nitrate flux increases were noted in the drainage system. The drainage was found to be exporting an amount of nitrogen much larger than that of a proportionally loaded and sized buffer system, indicating that significant nitrogen is bypassing the riparian buffer strategy. NITRATE TRANSPORT IN SHALLOW FLOW SYSTEMS AT THE NEUSE RIVER WASTE WATER TREATMENT PLANT
Carrier Transport in a Deep Ultraviolet Mixed Quantum Well Light Emitting Diode

Aluminium Gallium Nitride (AlGaN) based light emitting diodes (LED) are the enabling technology for compact emitters of deep ultraviolet (DUV) radiation and are in high demand for environmental and medical applications. The efficiency of recent DUV LEDs is in the range of a few percent providing some potential for improvement. Apart from the light extraction efficiency the hole injection into the active region presents a major obstacle towards more efficient DUV LEDs. In this work, we investigate the emission spectra of a mixed multi quantum well (MQW) DUV LED to attain details on the active region carrier transport that allow an improvement of the hole injection. Changing the position of the long wavelength marker quantum well yields characteristic emission spectra which have been modelled with a multi scale carrier transport and luminescence simulator. The numerical modelling enables the extraction of opaque carrier transport characteristics in AlGaN such as the hole mobility in the highly doped barriers of the MQW.
PELATIHAN DAN PEMBERDAYAAN MASYARAKAT TERHADAP PENINGKATAN KESEIMBANGAN LANSIA MENGGUNAKAN LATIHAN THERABAND PADA KADER POSYANDU TOHUDAN COLOMADU

Latar belakang: Keseimbangan adalah proses untuk mempertahankan stabilitas posture tubuh, kemampuan mengendalikan dan menjaga pusat gravitasi pada permukaan datar dan menggunakan pengaruh kritis terhadap tindakan tersebut untuk menjaga stabilitas posisi berdiri, kontrol dari berat beban, dan kemampuan ambulasi. Resistance exercise dapat menstimulasi peningkatan proprioseptif dikarenakan resistance exercise akan meningkatkan aktivitas recruitment motor unit yang akan mengaktivasi golgi tendon organ dan muscle spindle Metode Pendekatan: Pelatihan pemberian latihan theraband dalam peningkatan keseimbangan lansia pada kader posyandu Desa Tohudan. Tujuan: Memberikan edukasi kepada masyarakat latihan theraband dalam peningkatan keseimbangan lansia. Manfaat: Masyarakat paham dan mampu menangani permasalahan keseimbangan lansia menggunakan latihan theraband sehingga dapat meningkatkan kemampuan fungsional dan produktifitas kesehariannya. Tempat dan Waktu: Di Desa Tohudan Kecamatan Colomadu Kabupaten Karanganyar Provinsi Jawa Tengah pada bulan Februari s/d September 2022. Target Luaran: Para Kader posyandu di Desa Tohudan diharapkan mampu memberian latihan theraband dalam peningkatan keseimbangan lansia (Poster, leafle).
Modern training methods and technique in the field of occupational safety – a literature review

The growing diversity of the workforce and the changing context of employment in the world present significant challenges for developing and implementing occupational safety and health training. New approaches to content development, format, and implementation need to be developed, as traditional training methods are often not effective with workers or do not account for changes in employment patterns and the way work is organized today. This paper reviews modern training methods from computer games to virtual reality, as found in the specialized literature published in the last 10 years. The article presents the results of a state of art literature review realized with the new version of PRISMA methodology, for systematic reviews, as a part of National Institute for Research and Development for Occupational Safety INCDPM Alexandru Darabont ongoing project "Development of informative content and online training system of occupational safety and health information in the context of intelligent specialization".
Atmospheric Periodic Oscillations

The North Atlantic Oscillation, Quasi Biennial Oscillation, their negative and positive phases are discussed in presented article An El Niño event is a prolonged period of abnormally high sea-surface temperatures (SST) in the tropical Pacific Ocean. It goes hand in hand with changes in atmospheric conditions and can have strong repercussions on global weather patterns. El Niño can also significantly affect the global average temperature The ECMWF seasonal forecast system has been operational for more than five years and will soon be replaced by an upgraded system SEAS5.
PSD-SQ: Point Set Decoding Based on Semantic Query for Object Detection in Remote Sensing Images

Object detection in remote sensing images (RSIs) remains a challenging task due to complex variations in object scale, dense arrangements, and arbitrary orientations. Compared to the widely used multistage and one-stage approaches, query-based methods that avoid postprocessing procedures and implement end-to-end inference, have recently attracted much attention. However, existing query-based methods still face two main challenges: 1) the feature sampling regions predicted by the query vectors often fail to be aligned with the foreground features, making it difficult to accurately classify and locate potential objects; and 2) the cascade decoders are crucial for optimizing the query vectors, resulting in a slower inference process. To address the above issues, we propose a novel object detection method named point set decoding based on semantic query (PSD-SQ), which mainly consists of two components: a semantic query generator (SQG) module and an oriented point set decoder (OPSD) module. The SQG module is proposed to generate semantic query vectors with rich object information based on the semantic correlations among feature vectors. The OPSD module includes two blocks: a point sampling with angle (PSA) block and a dynamic interactor (DI) block. The PSA block is constructed to refine the sampling locations with predicted angles, aligning the sampling locations and oriented object regions, and the DI block is designed to decode the sampled features with dynamic weights, making the decoding process more efficient. The proposed method is extensively evaluated on various object detection datasets of RSIs, and the experimental results consistently demonstrate that the proposed method achieves state-of-the-art (SOTA) performance in terms of both accuracy and inference speed. In addition, our code is available at https://github.com/I3ab/PSD_SQ.
The Impacts of Tourism and Local Residents' Support on Tourism Development: A Case Study of the Rural Community of Jeongseon, Gangwon Province, South Korea

This research seeks to examine the impact of tourism and local residents’ support for tourism development in a rural tourism destination in the Gangwon province, South Korea named Jeongseon. It looks at the economic, socio-cultural and environmental impact tourism and the benefits and costs to the local residents. This study used the social exchange theory as a theoretical framework. A total of 376 valid responses were collected To achieve the research’s goals, ten research hypotheses were proposed. The findings show that the economic impacts of tourism were most favorably perceived by the local people who also saw benefits in socio-cultural terms. This perception translated into local residents’ support for tourism development even though they saw it as having a negative impact on the environment.
Modeling Symmetric and Asymmetric Volatility in Nifty 50 Index Futures Market

Volatility in stock markets is a matter of concern for investors and policymakers across the world. Derivatives enable traders to manage risk arising out of volatility through hedging and arbitrage (Singh & Kansal, 2010). During times of high volatility, regulatory authorities step in to curb the frenzied activity in the stock market. Time series data of financial nature shows non-normality traits. Thus, it is essential to check whether distributions other than normal distribution can perfectly analyze the time series data. Therefore, it becomes important to use the appropriate methods to model volatility. This study aims to analyse both symmetric and asymmetric volatility in Nifty 50 futures markets. Different variants of GARCH models were used in the study under three probability distributions such as normal, Student’s-t, and generalized error distribution (GED). EGARCH (1,1) model with Student’s- t distribution proved to be the best model for capturing volatility as it had the lowest AIC value. The results detected the presence of a leverage effect and thereby confirmed that negative news created more volatility than positive news.
Rainfall estimation for hydrology using volumetric weather radar

Uiteindelijk heb ik mij de afgelopen jaren voornamelijk gefocused op het verkrijgen van nauwkeurige neerslaginformatie uit weerradardata en de invloed van ruimtelijke variaties in druppelgrootteverdelingen. Dit blijkt toch niet zo eenvoudig te zijn, zoals u in dit proefschrift kunt lezenThis thesis focuses specifically on weather radar rainfall measurements in strati form precipitation. In North-Western Europe this type of precipitation is most dominant in winter and leads to the largest hydro logical response of catchments. Unfortunately, the quality of uncorrected radar rainfall estimates starts decreasing at relatively close range from the radar for this type of precipitation. Therefore, as a first approach, a number of previously proposed radar error correction algorithms were applied in this thesis. The implementation of these methods shows a positive impact on the quality of the obtained precipitation measurements as compared to rain gauges. However, the traditional approach of applying a uniform Eulerian based algorithm for the entire radar umbrella to correct for VPR, limits its impact to improve the corrected weather radar precipitation measurements