Miracle-dz/UniFAR-FTUs huggingface dataset:
MUSCULAR ANATOMY OF THE THORAX AND THORACIC LIMB OF Caiman Crocodilus (LINNAEUS, 1758) (CROCODYLIA: ALLIGATORIDAE) BY MEANS OF DIGITAL DISSECTION AND THREE-DIMENSIONAL MODELS

The Caiman crocodilus , popularly known as alligator , is a species of crocodilian, which has a crest or "forehead" described as "in crescent shape", observed, immediately, dorsal in relation to the eyes, as well as above the dorsal region of the snout, with an ossified crust rostral to the orbicular region. The present study aimed to describe the muscular anatomy of the thorax with emphasis on the thoracoappendicular muscles, and Caiman crocodilus thoracic limb , with the aid of X-Ray (RX), Ultrasonography (US), and detailed manual dissection; identified the thickness of the muscle groups of the thorax and thoracic limb of the Caiman crocodilus , through Ultrasonography, and, at the end, three-dimensional models of the muscular anatomy of the thorax were built, with emphasis on the thoracoappendicular muscles, and the thoracic limb of the Caiman crocodilus , with finalization in three-dimensional PDF. Anatomical descriptions have greatly favored interventions in wild animals, as well as the use of imaging tests such as X-ray and US. In addition, 3D schematic models clarify topographical relationships and highlight muscle depth, for example. In this way, it is possible to identify anatomical differences and intervene in case of diagnoses and prognoses, such as in US, even in real time.
Investigation of Post-seismic Sites Using Local Seismic Tomography in the Korean Peninsula

Three dimensional crustal structure and source features of earthquake hypocenters on the Korean peninsula were investigated using P and S-wave travel time tomography. The main goal of this research was to find Vp/Vs anomalies at earthquake hypocenters as well as those of crustal structure of basins and deep tectonic settings. This allowed fer the extrapolation of more detailed seismotectonic force from the Korean peninsula. The earthquake hypocenters were found to have high Vp/Vs ratio discrepancies (VRD) at the vertical sections. High V/p/Vs ratios were also found in the sedimentary basins and beneath the Chugaryong Rift Zone (CRZ), which was due to mantle plume that subsequently solidified with many fractures and faults which were saturated with connate water. The hypocenters of most earthquakes were found in the upper crust for Youngwol (YE), Kyongju (KE), Hongsung (HE), Kaesong (KSE), Daekwan (DKE), and Daehung (DHE) earthquakes, but near the subcrust or the Moho Discontinuity for Mt. Songni (SE), Sariwon (SRE) and Mt. Jiri (JE) earthquakes. Especially, we found hot springs of the Daekwan, Daehung and Unsan regions coincide with high VRD. Also, this cannot rule out the possibility that there are some partial meltings in the subcrust of this region. High VRD might indicate that many faults and fractures with connate water were dehydrated when earthquakes took place, reducing shear modulus in the hypocenter areas. This is can be explained by due to the fact that a point source which is represented by the moment tensor that may involve changes in volume, shear fracture, and rigidity. High Vp/Vs ratio discrepancies (VRD) were also found beneath Mt. Backdu beneath 40 km, indicating that magma chamber existed beneath Mt. Backdu is reducing shear modulus of S-wave velocity.
The Joint Channel Coding and Pre-Distortion Technique on the USRP-Based MIMO-OFDM System

Modern wireless communication systems use Orthogonal Frequency Division Multiplexing (OFDM), a multi-carrier modulation method that resists multipath channels and provides bandwidth efficiency. OFDM is generally used with a Multiple-Input Multiple-Output (MIMO) system to boost diversity gain and channel capacity. MIMO-OFDM has several advantages, but its high PAPR value is a drawback. A non-linear high-power amplifier (HPA) can distort signals with high PAPR values. This issue can be resolved by employing pre-distortion (PD), which compensates for non-linear HPA. In addition to PD, channel coding can be used to improve the quality of systems with high PAPR values by adding redundant bits to the bits to be sent. In this paper, we report the experimental evaluations of the joint channel coding and pre-distortion (PD) technique on a 2x2 MIMO OFDM system using USRP hardware. The experiments are conducted in two scenarios: line-of-sight (LOS) and non-line-of-sight (NLOS) scenarios. The channel coding that is used in this scenario is convolutional code with code rates of 1/2, 2/3, and 3/4. From the experiment results, it can be seen that the system using PD combined with the convolution code produces better performance in LOS and NLOS scenarios compared to the system without PD. In the LOS scenario, the use of PD can improve the SNR value of code rates 1/2, 2/3, and 3/4 by about 58.74%, 75.97%, and 96.20%. In the NLOS scenario, the use of PD can improve the SNR value of code rates 1/2, 2/3, and 3/4 by about 60.71%, 73.59%, and 71.84%. The LOS scenario measurement gives a better SNR value than the NLOS scenario, with a maximum SNR value of 30.86 dB, while the NLOS scenario maximum SNR value is 30.23 dB. This happened because the LOS scenario suffered minimal multipath fading compared to the NLOS scenario.
TECHNICAL UNIVERSITY OF MUNICH TUM Data Innovation Lab Multi-lane Detection in Urban Scenarios with Deep Learning

Lane estimation plays a crucial role in driver assistance systems. Moreover, the reliable detection of driving lines is an important milestone in enabling autonomous driving. Most of the existing state-of-the-art algorithms already achieved very remarkable results in simple scenarios. This project aims to achieve good results also in urban scenarios. In addition to the classical lane detection challenges, dealing with bad weather conditions, urban driving, and construction site driving is another challenge. Furthermore, for high autonomous driving purposes, the detection of the lanes is not enough. It is really important to extract the meaning associated with the lines, for example, if the lane line is dashed or solid. Even the color is valuable information that needs to be taken into consideration, in construction site driving, for example. For these purposes, an algorithm is implemented to detect the sequence of points that make up the lines and at the same time is able to extract high-level features such as the type of lines. Conducted experiments show that this method leads to promising results and reliable properties estimation thanks to the usage of a � nity ﬁelds. Furthermore, the proposed models are also able to extract a � nity ﬁelds that are not limited to this project but also viable for incoming projects by Robert Bosch GmbH.
CARBON NANODOTS: AN ADVANCED KEY TO DIAGNOSTIC TOOL

: Carbon nanodots (C-dots) are currently very active, driven by the potential applications in many fields, including bioimaging, biosensing, drug delivery, gene delivery, photodynamic therapy and photocatalysis. This review covers a brief understanding of various physiochemical properties and different methods of preparation of C-dots. photoluminescence mechanism, the origin of their peculiar fluorescence property, biocompatibility and chemical stability are the unique properties of C-dots. Characterization of C-dots by using various analytical methods can be mentioned in this paper. These C-dots are currently used as advanced tools in the diagnosis of various diseases.
3-Body Hadronic Reactions for New Aspects of Baryon Spectroscopy

The nucleon resonance spectrum holds fundamental information about non-perturbative QCD. However, the resonance spectrum is not easily extracted from experimental data due to the large widths of the overlapping resonances. Precise data on both photoproduction and hadronic reactions are needed in order to separate the nucleon resonances using a partial-wave analysis (PWA). Recent theoretical advances have shown the importance of coupled-channels eﬀects in a PWA, and that it is necessary to complement the high-quality data on the πN → πN channel with similar-quality data for the πN → ππN and πN → KY reactions. The latter reactions were measured with only modest precision about three decades ago. With J-PARC, it is now possible to make precise measurements of these reactions, and hence extract the nucleon resonance spectrum. One exciting development comes from recent lattice QCD calculations, which predict that hybrid baryons (with glu-onic excitations in the three-quark system) should exist. If hybrid resonances exist, it is essential to get hadronic data on πN → ππN to use in dynamical coupled-channels PWA that provide the best chance of reliable resonance extraction from the data. Preliminary indications from photoproduction data at CLAS suggest that an extra resonance, in addition to the known quark-model resonances), has been seen in reaction γp → π + π − p at a mass close to that predicted from the lattice for a hybrid baryon. Whether this is a regular baryon resonance or a hybrid baryon resonance, precise hadronic data are needed to untangle it from other nearby (overlapping) baryon resonances having large widths. We propose to measure the πN → ππN and πN → KY reactions at J-PARC with suﬃcient precision to search for baryon resonances. The proposed experiment will use the K1.8 beamline to span a range in the center-of-mass energy W (from 1.54 to 2.15 GeV) with a large-acceptance Time Projection Chamber (TPC) spectrometer. This TPC is being designed by the JAEA hadronic physics group for use in another J-PARC experiment to search for the H-dibaryon
ANALYSIS ON BRAND EQUITY OF RJV COLD-PRESSED JUICE.

This study aims to analyze brand equity of the RJV cold-pressed juice according to the consumer’s perspective through marketing efforts that have been made by the company. The sample collection of the study was carried out using convenience sampling technique. The number of respondents of the study was 250 respondents which were obtained based on the rule of thumb. The independent variables include product, price, outlet and promotion. In addition, the dependent variables include brand equity and brand equity dimensions which consist of brand awareness and association, percieved quality, and brand loyalty. The data processing and analysis techniques of this study apply quantitative descriptive analysis. It used SEM analysis tools with the help of LISREL 8.8 software. The findings showed that product and promotion have positive and significant effect on brand awareness and association. Product, outlet and promotion have positive and significant effect on the percieved quality. Product and price have positive and significant effect on brand loyalty. In addition, there is a positive effect on all dimensions of brand equity towards brand equity; however, only the Percieved
Families of ϕ‐congruence subgroups of the modular group

We introduce and study families of finite index subgroups of the modular group that generalize the congruence subgroups. Such groups, termed ϕ‐congruence subgroups, are obtained by reducing homomorphisms ϕ from the modular group into a linear algebraic group modulo integers. In particular, we examine two families of examples, arising on the one hand from a map into a quasi‐unipotent group, and on the other hand from maps into symplectic groups of degree four. In the quasi‐unipotent case, we also provide a detailed discussion of the corresponding modular forms, using the fact that the tower of curves in this case contains the tower of isogenies over the elliptic curve y2=x3−1728$y^2=x^3-1728$ defined by the commutator subgroup of the modular group.
CLUSTERING DATA STREAMS USING SHARED DENSITY BETWEEN MICRO-CLUSTERS

-As we taken micro cluster in streaming data, cluster data streaminghas been become an important technique, which used for data and knowledge technology. A generally we approach is to describing the data stream in Problem solving-time with an onlineprocess into a huge number of so called micro clusters. Micro clusters represent provincial density estimates by aggregating the information of every data points in a defined particular area. On Requirement, a converted using conventional clustering algorithm is used at in a second offline step by step to re-cluster theMicroclusters into huge final clusters. For re-clustering, the midpoint of the micro clusterissuing as pseudo points are with the density assessment used as their converted weights. After all, contain information Regarding density in the area between microclusters is not conserve in the online process and using re-clustering is established on possibly wrong assumptions about the sharing of data within process between microclusters. This paper describes DATABSAESTREAM, the first step micro clusterbased on online clustering basic that especially captures the density between this microclusters along a shared density graph. The density information using in this graph is then shows for re-clustering based on which actual density between two adjacent micro clusters. We present that the space and time complexity of maintains using the shared density graph. Experiment on a broad range of fabricatedand data sets highlight particular that using shared density improves is clustering quality up to other popular data stream clustering many methods which require the formation of a huger number of mini micro-clusters to produce comparable results over here.
Conductive and resistive layers based on Ni-P alloy made by selective metallization

The article presents the results of the authors work on the application of layers based on Ni-P alloy in electronics. The authors proved that these layers can be used to make conductive and resistive paths on ceramic and silicon substrates. The innovativeness of the work carried out is expressed in the combination of electroless metallization technology and photochemical technology for selective deposition of layers of any shape.
Precipitated calcium oxide nanosize from limestone and blood clam shells

Calcium oxide (CaO) is a product that is needed by various types of industries such as the pharmaceutical, chemical, agricultural and health industries. CaO is generally produced by the calcination method of CaCO3 materials such as calcium carbonate rocks or from various types of shells. The calcination method requires a large amount of energy because the operating temperature is above 1000 C and the resulting calcium oxide product is still micrometer size. This study developed nanosize precipitated CaO from two calcium sources, namely blood clam shells and limestone. For clam shells using hydrochloric acid as a solvent and sodium hydroxide as a precipitating agent, while for limestone using phosphoric acid as a solvent and potassium hydroxide as a precipitating agent. The effect of acidity (pH) and calcination temperature on the characteristics of the precipitated CaO was observed. The blood calm shell produces precipitated CaO 85-92 % with a particle size of 200-250 Nm and the limestone produces precipitated CaO 42-66% with a particle size of 250-300 Nm
Dynamics of digitally networked leadership in #blacklivesmatter

Using the hashtag #blacklivesmatter, activists have given new impetus to aspirations of ‘leaderful’ organizing. Disavowing the centralization of leadership and rethinking the history of the struggle for civil rights, many have sought to develop and revamp models of decentralized leadership. Digital networking features prominently in these models, but the literature suggests its role is ambiguous: while social media provide affordances for decentralized leadership, they may also induce the centralization of leadership. To examine such leadership dynamics, we adopt a computational approach. Drawing on a dataset of roughly 18 million tweets collected over a 30-month period, we examine two aspects of leadership dynamics: the concentration of leadership (i.e., inequality in terms of centrality within networks) and the consolidation of leadership (i.e., the degree to which central figures retain prominence over time). Engaging with the measurement of network inequality by differentiating temporal aspects of concentration and consolidation, we show that leadership dynamics fluctuate strongly over time. Aside from a select few individuals, there is little consolidation of leadership: new voices can consistently rise to prominence. Beyond providing an examination of online leadership dynamics within the Movement for Black Lives, this paper shows how computational analyses can be adopted in ways that do justice to the dynamic and diverse nature of movements.
Preliminary Version Expansion : the Crucial Mechanism for Type Inference with Intersection Types : a Survey and Explanation Sébastien

The operation of expansion on typings was introduced at the end of the 1970s by Coppo, Dezani, and Venneri for reasoning about the possible typings of a term when using intersection types. Until recently, it has remained somewhat mysterious and unfamiliar, even though it is essential for carrying out compositional type inference. The fundamental idea of expansion is to be able to calculate the effect on the final judgement of a typing derivation of inserting a use of the intersection-introduction typing rule at some (possibly deeply nested) position, without actually needing to build the new derivation. Recently, we have improved on this by introducing expansion variables (E-variables), which make the calculation straightforward and understandable. E-variables make it easy to postpone choices of which typing rules to use until later constraint solving gives enough information to allow making a good choice. Expansion can also be done for type constructors other than intersection, such as the ! of Linear Logic, and E-variables make this easy. There are no significant new technical results in this paper; instead this paper surveys and explains the technical results of a quarter of a century of work on expansion.
Early meteorological data from London and Paris : extending the North Atlantic Oscillation Series

It has been known for some time that the potential exists to create long daily series of pressure for the cities of London and Paris by piecing together the barometer readings from various observers and institutions. However, most of the readings prior to 1920 have not previously been digitized or converted to modern units. To rectify this, work began in 2006 to locate and digitize these observations and then to correct the data to form homogeneous series of pressure. Observations have been located to span the years 1670–2007 for Paris and 1692–2007 for London, although significant gaps exist for the periods 1726–47 (Paris) and 1717–22 (London) where no daily pressure observations appear to have survived. The barometer observations were subjected to a quality control procedure before being corrected to represent daily means of sea-level pressure at standard conditions. Statistically significant breakpoints were tested and corrected using the RH-test (version 2). This thesis describes the sources of data used in the London and Paris daily pressure series, and how the data were corrected and homogenized. The new series are compared with previous monthly reconstructions of Mean Sea-Level Pressure (MSLP) for London and Paris. In addition to being of a higher resolution (daily) and stretching over a longer time period than the previous data, the new series resolve certain inhomogeneities apparent in the monthly reconstructions. The daily data are used to construct a westerly index for Europe, which extends instrumental North Atlantic Oscillation (NAO) indices back to the eighteenth century. The relationship of this westerly index to surface temperature across Europe is examined. The results support the findings of previous studies that have indicated non-stationary relationships over time between the atmospheric circulation and surface temperature in the region. The London and Paris series are also used to assess the variability of storminess in the English Channel area over the last 300 years.
The Impact of Good Governance on the Quality of Public Management Decision Making

Decision-making in public management is a complex and crucial process in carrying out government functions. Appropriate and effective decisions can bring positive changes to society and help achieve development goals. This study aims to analyse the impact of good governance on the quality of public management decision-making. The current research type is qualitative. Data collection techniques include listening and recording important information to conduct data analysis through data reduction, data display, and conclusion drawing. The results of the study state that Good Governance has a significant positive impact on the quality of decision-making in public management. The concept of Good Governance includes transparency, public participation, accountability, rule of law, professionalism, and technology utilisation. The implementation of Good Governance principles brings various benefits, including increased transparency, strengthened public participation, increased bureaucratic efficiency, improved quality of public services, encouraging economic growth, and creating social peace and stability.
Developing Sustainability Practices Reporting Measurement Framework For Islamic Banks in Indonesia: A Literature Synthesis

This study aims to develop a theoretical model and measurement framework for reporting sustainability practices in Islamic banks in Indonesia. A survey of 58 selected works of literature was conducted to identify key concepts and insights related to sustainability, social, economic, and environmental dimensions. The theoretical model incorporates these sustainability values and aligns them with Maqasid Al-Sharia, the objectives and principles of Islamic law. By integrating these principles, the model ensures that Islamic banks' sustainability practices in Indonesia are socially, economically, and ethically responsible. The measurement framework facilitates assessing and reporting sustainability practices, enabling Islamic banks to evaluate their social, economic, and environmental impact. This study contributes to sustainable banking by providing a comprehensive model and framework tailored to Islamic banks, promoting transparency, accountability, and responsible finance in Indonesia.
Detecting deﬁcits of sustained visual attention in delirium

Background Inattention is a core clinical feature of delirium and yet the particular aspects of attentional impairment associated with this feature are poorly understood. Objective methods for assessing inattention are also lacking. A new set of computerised tests of attentional deﬁcits designed for use in patients with delirium have been developed. Test performances in patients with delirium, dementia and cognitively normal controls are compared. Methods Eight novel tasks measuring sustained visual attention were administered to 20 older patients with delirium using the Edinburgh Delirium Test Box, a purpose built, computerised neuropsychological testing device. Comparison groups of 18 patients with Alzheimer’s dementia and 20 cognitively normal patients of similar age were also assessed. Delirium was diagnosed using the Confusion Assessment Method. General cognitive impairment was measured using the Mini-Mental State Examination. Results Patients with delirium had signiﬁcantly lower scores than both comparison groups on all sustained attention tasks (p values from 0.003 to < 0.001). Performance of the dementia patients generally did not differ from the cognitively normal group. Receiver operating characteristic analyses indicated that all tasks showed good or excellent accuracy for discriminating between delirium and dementia (AUC values 0.80 e 0.94), and between delirium and cognitively normal (AUC values 0.89 e 0.99) patients. Conclusions Patients with delirium showed marked deﬁcits in sustained visual attention, as measured by objective neuropsychological testing. These attentional deﬁcits were mainly mild or absent in patients with dementia and in cognitively normal controls. Objective testing of sustained visual attention has promising utility in detecting delirium, and in discriminating delirium from dementia.