Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Hybrid Nanocooling-Lubricants MQCL on Machining Temperature and Tool Wear Mechanisms under Turning Process of Titanium Alloy

Minimum quantity lubrication (MQL) has performed optimum lubrication but poor cooling during turning process. Thus, hybrid nanocooling-lubricants for minimum quantity cooling-lubrication to achieve sufficient lubrication and cooling effect for high speed turning titanium alloy (Ti6Al4V) material. This study is targeted on the machinability performance of G-Al 2 O 3 hybrid nanocooling-lubricants MQCL and conventional fluids cooling condition with variable cutting speeds at constant feed rate as input parameters to evaluate the machining temperature and cutting insert flank wear as quality responses. Scanning electron microscopy-energy dispersive X-ray (SEM-EDX) analysis was implemented to determine Ti6Al4V workpiece chemical elemental deposition on the cutting insert flank surface. Experimental results obtained that significantly increased of machining temperature from 206°C to 317°C based on type-K thermocouple wire measurement as the increment of cutting speeds from 120 m/min to 180 m/min. However, machining temperature decreased with the increasing of lubrication flow rate of MQCL 10 mL/min to 40 mL/min, then to the conventional fluids cooling condition. The comparison to conventional fluids cooling condition, the G-Al 2 O 3 hybrid nanocooling-lubricants MQCL at the cutting speed of 120 m/min significantly increased tool life for 51% and cutting speed of 180 m/min for 28%, respectively. Furthermore, SEM-EDX has presented that titanium element deposited on cutting insert flank surface, which has shown micro-attrition, abrasion and adhesion wear leading edge chipping or fracture are identified as the main tool wear mechanisms.
UPAYA MEMBRANDING DESTINASI PARIWISATA KOTA SERANG

One of the efforts to increase the attractiveness of tourism destinations is through tourism destination branding. Efforts need to be made to realize tourism destination branding. This study aims to describe efforts to compare tourism in Serang Municipality based on its tourism potential. The research method is a descriptive research method with a qualitative approach. Primary data is obtained by conducting interviews and direct observation of informants who are considered to understand tourism conditions. Secondary data was obtained through journals, tourism reports and related literature studies. Then it was analyzed using an interactive model through data reduction, data presentation and then drawing conclusions from the analysis. It was found that the Serang Municipality Youth and Sports Tourism Office had made various efforts to increase the attractiveness of tourism destinations by carrying out several stages to build tourism destinations through Group Discussion Forums, logo and tagline design competitions, procurement and naming of tour buses, making promotional videos, and utilizing Instagram social media. The next step is to develop a tourism destination brand preferably through destination governance and sustainable tourism marketing and digital transformation. Keywords: tourism destination branding; digital branding; heritage tourism; urban tourism
Analisis Pengaruh Utilitarian Value dan Emotional Value terhadap Online Marketplace Switching Behavior di Pontianak dengan Switching cost sebagai Variabel Moderasi

Tujuan penelitian ini adalah untuk menjelaskan pengaruh nilai manfaat dan nilai emosional terhadap sikap perpindahan toko online dan niat perpindahan toko online dengan biaya perpindahan sebagai variabel moderasi. Populasi penelitian ini adalah pengguna toko online di Pontianak dengan sampel sebanyak 100 responden. Metode untuk menentukan sampel menggunakan judgemental sampling dengan teknik non probabilitas. Responden mengisi data menggunakan kuesioner berskala likert dan diberikan pertanyaan kualifikasi sebelum mengisi data penelitian untuk menyaring pengguna baru dan pengguna lama. Metode analisis dalam penelitian ini adalah structural equation model (SEM) melalui software SmartPLS versi 3.3. 2. Hasil penelitian ini menunjukkan bahwa nilai manfaat memiliki pengaruh signifikan dan positif terhadap sikap perpindahan toko online, terbukti dengan t-hitung sebesar 4,735 dan nilai p kurang dari 0,05. Hipotesis lain yang terbukti signifikan dan positif adalah sikap perpindahan toko online yang berpengaruh terhadap niat perpindahan toko online, dibuktikan dengan t-hitung sebesar 7,414 dan nilai p kurang dari 0,05. Pengaruh moderasi tidak ditemukan pada dua variabel dependen, dan nilai emosional juga tidak berpengaruh terhadap sikap perpindahan toko online.
Investigating the Correlation Between the Panton-Valentine Leukocidin (PVL) Gene and Methicillin-Resistant Staphylococcus aureus (MRSA) in Community-Acquired Soft Tissue Infections

Introduction: MRSA, methicillin-resistant Staphylococcus aureus, poses a considerable threat to human health by causing infections in both community and healthcare environments. Among the numerous virulence factors possessed by S. aureus, the Panton-Valentine Leukocidin gene (PVL) stands out as particularly significant. The current study aimed to detect the prevalence of the PVL gene in community-acquired MRSA isolated from skin and soft tissue infections (SSTIs). Subjects and Methods: Among 109 S. aureus isolates collected from SSTIs, MRSA isolates were detected by the cefoxitin disc diffusion method and cultured on an ORSAB (oxacillin resistance screening agar base) medium. Polymerase chain reaction (PCR) was used to detect the PVL gene in MRSA isolates. Results: Forty-one MRSA (37.6%) isolates were detected among S. aureus isolated from community-acquired SSTIs by different phenotypic and genotypic methods. The majority of community-acquired MRSA cases (97.5%) tested positive for the pvl gene. Conclusion: Our study revealed a significant prevalence of PVL among community-acquired MRSA isolates.
Türkiye'nin Turizm Potansiyeli: Çekim Modeli Yaklaşımı

The tourism sector, like most of the other countries of the world, has also gained importance in Turkey in last few decades. Global tourist flows and tourism income have a steady increase. Hence, as an effective tool for economic development and welfare, importance of tourism is rising. Tourism is a capital source of an additional income, exchange, employment and tax revenue for most countries. Turkey is also one of the prominent countries of the world in point of tourism incomes. Thus, it is important to develop the tourism sector more and to reveal the tourism potential of Turkey. This paper aims to make an attempt for this purpose. In the paper, the demand-side factors which effect the tourist arrivals and tourism potential of Turkey with respect to source countries have been investigated. The obtained findings reveal that the characteristics of countries such as economic size, distance, cultural and historical ties and adjacency etc. have a meaningful impact on tourist flows to Turkey. Additionally, a list of countries those have an expandable potential and exceeded potential have been given at the end of the paper.
Geometry and evolution of rift-margin, normal-fault–bounded basins from gravity and geology, La Paz–Los Cabos region, Baja California Sur, Mexico

The southern end of the Baja California peninsula is cut by a north-striking, left-stepping, active, normal-fault system—the marginal fault system of the oblique-divergent plate boundary within the Gulf of California. We conducted gravity surveys across the normal-fault–bounded basins, and, along with optically stimulated luminescence dating of offset piedmont surfaces and geologic data, we estimated fault-slip rates and assessed fault patterns across basins, gaining insight into basin evolution to better understand the role of upper-crustal processes during development of an obliquely rifted plate margin. Gravity surveys across the La Paz, San Juan de los Planes, and San Jose del Cabo basins revealed basin depths ranging from ∼500 to 3000 m. The La Paz basin is a half graben with two smaller basins that reflect the two main east-dipping splays of the Carrizal fault. Within the San Juan de los Planes and San Jose del Cabo basins, there are buried faults, indicating that during the early stages of basin formation, strain was distributed across these smaller intrabasin faults prior to development of the basin-bounding faults. Slip rates coupled with basin depths suggest that the La Paz and San Juan de los Planes basins began forming ca. 2–5 Ma, overlapping in time with the formation of the main plate boundary at this latitude. The San Jose del Cabo basin has the greatest depth to bedrock (1.6–2.7 km), signifying that it accommodates a greater slip rate or a longer duration of slip than the other faults within this system.
The Shumagin Islands, Alaska, earthquake of 31 May 1917

Abstract Although macroseismic reports indicate that great earthquakes have occurred in the vicinity of the Shumagin Gap of the eastern Aleutian arc, the largest, well-documented event within the gap has been an M S 7.5 event that occurred in 1948; this earthquake apparently ruptured only a 75-km-long segment of the 200-km-long gap and as such is not considered a gap-filling event. Relocations of turn-of-the-century seismicity by Boyd and Lerner-Lam (1988) suggest, however, that another, more poorly documented event nucleated near the Shumagin Islands on 31 May 1917. An M S of 7.9, determined from a single station bulletin, has been assigned to this event; although consistent with its apparent aftershock distribution, macroseismic reports appear to be too small for such a large event. We use surface waves to estimate the moment and rupture bounds and body waves to constrain the focal mechanism and depth of the 1917 event. The average M S at 13 azimuthally well-distributed stations is 7.4 ± 0.3, much smaller than the previous estimate of 7.9. The spatial variation in individual magnitude estimates is azimuthally dependent (7.9 to the west and 6.8 to the east), implying source directivity. Assuming a thrust fault mechanism, body-wave inversion yields a source depth of 29 km and M W of 7.4. In addition, assuming rupture velocity and rupture propagation along-arc to the west (consistent with the aftershock distribution), a rupture length of 75 km and M W of 7.5 are required to match long-period surface waves recorded at Uppsala, Sweden, and Gottingen, Germany. These results suggest that the average slip of the 1917 event was only about 75 to 150 cm and was restricted to the easternmost portion of the gap. These results, when combined with rupture zones and recurrence intervals of other eastern Aleutian events, imply a temporally heterogeneous rupture style where the rupture bounds, and consequently the sizes of earthquakes, vary from cycle to cycle. Estimating the magnitudes or rupture extents of the next series of events based on the previous series appears to be unjustified.
Classification of Pinus massoniana and secondary deciduous tree species in northern subtropical region based on high resolution and hyperspectral remotely sensed data

Aims Using remote sensing data for tree species classification plays a key role in forestry resource monitoring, sustainable forest management and biodiversity research. Methods This study used integrated sensor Li CHy(Li DAR, CCD and Hyperspectral) to obtain both the high resolution imagery and the hyperspectral data at the same time for the natural secondary forest in south Jiangsu hilly region. The data were used to identify the crown and to classify tree species at multiple levels. Firstly, tree crowns were selected by segmenting high-resolution imagery at multiple scales based on edge detection; secondly, characteristic variables of hyperspectral images were extracted, then optimization variables were selected based on the theory of information entropy. Tree species and forest types were classified using either all characteristic variables or optimization variables only. Finally, tree species and forest types were reclassified along with the tree crowns information, and the accuracy of classification was discussed. Important findings Based on all available characteristic variables, the overall accuracy for four typical tree species classification was 64.6%, and the Kappa coefficient was 0.493. The overall accuracy for forest types classification was 81.1%, and the Kappa coefficient was 0.584. Based on optimization variables only, the overall accuracy for four typical tree species classification dropped to 62.9%, and the Kappa coefficient was 0.459. The overall accuracy for forest types classification was 77.7%, and the Kappa coefficient was 0.525. Obtaining both high resolution image and hyperspectral data at the same time by integrated sensor can increase overall accuracy in classifying forest types and tree species in northern subtropical forest.
The Optosystem: validation and testing of the high-speed electro-optical conversion system for the readout of the ATLAS ITk Pixel upgrade

After Run III the ATLAS detector will undergo a series of upgrades to cope with the harsher radiation environment and increased number of proton interactions in the High Luminosity- LHC. One of the key projects in this suite of upgrades is the ATLAS Inner Tracker (ITk). The pixel detector of the ITk must be read out accurately and with extremely high rate. The Optosystem performs electro-optical conversion of signals from the pixel modules. This paper presents recent results related to the performance of the data transmission chain with a focus on the Optoboards and to the design, testing and production of the Optopanels.
Few-Shot Aerial Image Semantic Segmentation Leveraging Pyramid Correlation Fusion

Few-shot semantic segmentation (FSS) has gained significant attention due to its ability to segment novel objects using only a limited number of labeled samples, thereby addressing the problem of overfitting caused by a lack of training data. Although this technique is widely studied in the field of computer vision, there are few methods for remote-sensing images. Prevalent FSS methods can achieve remarkable results for natural images, but they are difficult to apply to remote-sensing image processing because existing methods rarely take into consideration the large-scale and resolution differences in remote-sensing images. Consequently, it is hard for them to obtain correct semantic guidance from a few annotated remote-sensing images. To tackle these problems, this article proposes the pyramid correlation fusion network (PCFNet) to promote the ability to mine helpful information by calculating multiscale pixel-wise semantic correspondence. Particularly, the dual-distance correlation (DDC) module is designed to simultaneously compute the cosine similarity and Euclidean distance between query features and support features, producing adequate guidance information to determine the category of each pixel. Moreover, to improve segmentation accuracy for small objects, the scale-aware cross-entropy loss (SACELoss) is introduced to dynamically assign loss weights according to the actual sizes of objects. This enables smaller objects to be assigned larger weight values and thus receive more attention during training. Comprehensive experiments on both the iSAID- $5^{i}$ and DLRSD- $5^{i}$ datasets demonstrate that our method outperforms state-of-the-art FSS methods. Our code is available at https://github.com/TinyAway/PCFNet.
Occupational injuries admitted to the Emergency Department Acil

BULGULAR Her iki acil bölümüne 2006 yılı boyunca gelen iş kazasına bağlı yaralanma sayısı 1038 idi. Olguların yaş ortalaması 31,6±9,6 idi. En yaygın görülen yaralanma mekanizması %31,5 ile vücuduna makinaya kaptırma olarak saptandı. Bunu sırasıyla %21,5 ile künt cisimle yaralanma, %18,9 ile yüksekten düşme, %17 ile delici kesici aletle yaralanma, %3,9 ile göze yabancı cisim kaçması ve diğerleri izledi. İzole ekstremite yaralanması (%74,2) en çok yaralanan vücut bölgesi idi. Bunu sırasıyla çoklu vücut yaralanması (%8,5), yüz yaralanmaları (%5,5), baş-boyun yaralanmaları (%4,6) izledi. Olguların %90’ı acil serviste tedavisi yapıldıktan sonra taburcu edilirken, %7’si değişik bölümlere yatırıldı.
Energy expenditure by elite midget male ice hockey players in small-sided games

The purpose of this study was to investigate the energy expenditure and heart rate responses elicited in elite male midget ice hockey players during small-sided games. Nine players (aged 15.89 ± 0.33 years) participated in the study. Maximal progressive treadmill testing in the laboratory measured the relationship of oxygen consumption ( V · O 2 ) to heart rate before on-ice assessments of heart rate during six different small-sided games: 1v1, 2v2, 2v2 with support player, 3v3 with support player, 3v3 with transitions, and 4v4 with two support players. Heart rate was recorded continuously in each game. 3v3 T small-sided game was the most intense for all four intensity markers. All six small-sided games reached 89% HRmax or more with heart rate peaks in active effort repetition. These findings demonstrate that such small-sided games are considered as high intensity games and are an effective training method for ice hockey players.
Self-assembled physical unclonable function labels based on plasmonic coupling

Counterfeiting threatens human health, social equity, national security and global and local economies. Hardware-based cryptography that exploits physical unclonable functions (PUFs) provides the means for secure identification and authentication of products. While optical PUFs are among the hardest to replicate, they suffer from low encoding capacity and often complex and expensive read-out. Here we report PUF labels with nanoscale features and optical responses that arise from the guided self-assembly of plasmonic nanoparticles. Nanosphere lithography combined with DNA origami placement are used to create tightly packed randomised nanoparticle assemblies. Nanoscale variations within these assemblies define the scattering color of the individual spots that are arranged in a hexagonal lattice with spacing down to the optical resolution limit. Due to the nanoscale dimensions, the intrinsic randomness of the particle assemblies and their resulting optical responses, our PUFs are virtually impossible to replicate while they can be read-out with economical 3D-printed hardware.
Comparing Two Saline-Gypseous Wetland Soils in NE Spain

Small (<1 km2) saline wetlands scattered across the landscape often go unnoticed or are threatened by urbanization or other interventions, despite their role as biodiversity shelters. This study is needed to show methods for monitoring this specific kind of wetland, and to guide the selection of analytical techniques. We provide data and comparisons for salient soil traits of two quasi-pristine gypsiferous and saline wetlands named Farrachuela (FA) and Agustín (AG). The soil characteristics presented in this article are a more sensitive indicator of their ecological status than some of the most used indicators, such as birds and plants. We found significant differences between the two saladas in percent water saturation, equivalent calcium carbonate, gypsum content, and soil salinity expressed as electrical conductivity both of 1:5 soil-to-water ratio and of saturation extracts. The differences were also significant in the concentrations of Mg2+, Na+, and Cl−, while they were non-significant for Ca2+, HCO32−, and SO42−. The mean contents of the six ions were lower in FA than in AG. Both pH and sodium adsorption ratios were significantly different between the two wetlands. The data are mainly examined and plotted by displaying their non-parametric statistics, a synoptic approach that will allow us to monitor the evolution of the wetlands against both traditional agricultural pressures and emerging green energy infrastructures. Last but not least, we discuss the shortcomings of some standard laboratory methods when applied to gypsum-rich soils.
Classification of Focal Liver Diseases Using Pre-trained Convolutional Neural Networks

Recently, there has been a great interest in computer aided diagnostic systems for various diseases. One of the latest technologies used is deep learning architectures for analyzing and classifying medical images. In this paper, a system is proposed that uses deep learning to diagnose three focal diseases in the liver besides the normal liver. In our proposed system, we used a pre-trained convolutional neural network. Two types of networks were used, namely ResNet50 and AlexNet with fully connected networks (FCNs). After extracting the deep features using deep learning transfer, we will have
KeyGen2Vec: Learning Document Embedding via Multi-label Keyword Generation in Question-Answering

Representing documents into high dimensional embedding space while preserving the structural similarity between document sources has been an ultimate goal for many works on text representation learning. Current embedding models, however, mainly rely on the availability of label supervision to increase the expressiveness of the resulting embeddings. In contrast, unsupervised embeddings are cheap, but they often cannot capture implicit structure in target corpus, particularly for samples that come from different distribution with the pretraining source. Our study aims to loosen up the dependency on label supervision by learning document embeddings via Sequence-to-Sequence (Seq2Seq) text generator. Specifically, we reformulate keyphrase generation task into multi-label keyword generation in community-based Question Answering (cQA). Our empirical results show that KeyGen2Vec in general is superior than multi-label keyword classifier by up to 14.7% based on Purity, Normalized Mutual Information (NMI), and F1-Score metrics. Interestingly, although in general the absolute advantage of learning embeddings through label supervision is highly positive across evaluation datasets, KeyGen2Vec is shown to be competitive with classifier that exploits topic label supervision in Yahoo! cQA with larger number of latent topic labels.
she was like

This study relates discourse-pragmatic aspects of the use of the quotatives SAY , BE like , BE all , and GO to the question of the supposed or actual spoken-likeness of written computer-mediated communication (CMC). 1,800 tokens of reported speech, collected from Twitter, were analyzed in a “constructed dialogue” framework (Tannen, 2007). The results show that users of Twitter employ various CMC devices to animate and modally enrich reported speech, especially in speech reports with BE like , BE all , and GO . They perform a style of communication that is reminiscent of conversational speech, even while having qualities that seem to belong uniquely to CMC.