Miracle-dz/UniFAR-FTUs huggingface dataset:
Recognizing Different Foot Deformities Using FSR Sensors by Static Classification of Neural Networks

Sensing insole systems are a promising technology for various applications in healthcare and sports. They can provide valuable information about the foot pressure distribution and gait patterns of different individuals. However, designing and implementing such systems poses several challenges, such as sensor selection, calibration, data processing, and interpretation. This paper proposes a sensing insole system that uses force-sensitive resistors (FSRs) to measure the pressure exerted by the foot on different regions of the insole. This system classifies four types of foot deformities: normal, flat, over-pronation, and excessive supination. The classification stage uses the differential values of pressure points as input for a feedforward neural network (FNN) model. Data acquisition involved 60 subjects diagnosed with the studied cases. The implementation of FNN achieved an accuracy of 96.6% using 50% of the dataset as training data and 92.8% using only 30% training data. The comparison with related work shows good impact of using the differential values of pressure points as input for neural networks compared with raw data.
Drosophila Arc1 is not required for male fertility or sperm competition success

Activity-regulated cytoskeleton associated protein (Arc1), which is required for synaptic plasticity and metabolism in Drosophila , self-assembles into capsid-like structures that transport mRNAs in extracellular vesicles. In addition to expression in the brain and nervous system, Arc1 is expressed in the male accessory glands, an endothelial tissue that produces male seminal proteins and exosomes that impact male fertility. We thus hypothesized that Arc1 might impact male fertility. We measured the fertility, mating latency, mating duration, and sperm competition performance of Arc1 males relative to controls and found no evidence that Arc1 is required for any of these measures of male fertility.
Shell and Operculum Taphonomy of the Bithyniid Gastropod Gabbiella in the Pleistocene Turkana Basin, North Kenya

Abstract Shells and opercula of bithyniid gastropods assigned to Gabbiella are found in high abundance in the Pleistocene upper Burgi and KBS Members of the Koobi Fora Formation, Turkana Basin, northern Kenya. The systematic paleontology of the Turkana Basin Gabbiella is revised herein based on morphological comparison with the opercula of other Recent African bithyniids. The fossils from the upper Burgi and KBS Members are here assigned to Gabbiella rosea Mandahl-Barth, 1968, a species not known from the Turkana fossil record before, but extant in this lake today. A sampling and taphonomic bias is identified which influences the relative abundance of Gabbiella shells and opercula, as a mesh size of 0.63 mm or less is necessary to capture all opercula preserved in the sediments. Accordingly, opercula were found to be significantly more abundant than shells, indicating a different preservation potential of shells and opercula, as the calcitic operculum is more robust than the aragonitic shell. In contrast to previous arguments that most shellbeds in the Turkana Basin sequence represent undisturbed life assemblages, a taphonomic bias is clearly evident reducing the fidelity of the Turkana Basin mollusk assemblages.
Automatic Assessment of Java Code (cid:73)

Assessment is an integral part of education often used to evaluate students, but also to provide them with feedback. It is essential to ensure that assessment is fair, objective, and equally applied to all students. This holds, for instance, in multiple-choice tests, but, unfortunately, it is not ensured in the assessment of source code, which is still a manual and error-prone task. In this paper, we present JavAssess, a Java library with an API composed of around 200 methods to automatically inspect, test, mark, and correct Java code. It can be used to produce both black-box (based on output comparison) and white-box (based on the internal properties of the code) assessment tools. This means that it allows for marking the code even if it is only partially correct. We describe the library, how to use it, and we provide a complete example to automatically mark and correct a student’s code. We also report the use of this system in a real university context to compare manual and automatic assessment in university courses. The study reports the average error in the marks produced by teachers when assessing source code manually, and it shows that the system automatically assesses around 50% of the work.
Station Delays, Their Standard Deviations, and Event Relocations in the Reno-Area Basin from a Dense USArray Flexible Array Deployment during the 2008 West Reno Earthquake Swarm

The seismic hazard of a sedimentary basin is high. The basin depth and its geometry control the amplification of ground motion. So from the point of earthquake hazard, it is important to know the basin geometry and its depth for the hazard evaluation of an area. Knowing the basin geometry and depth and velocity of sediments will enhance our understanding of ground amplification to improve seismic hazard evaluations. In this context, to evaluate the seismic hazard of the Reno Basin, the Nevada Seismological Laboratory (NSL) conducted a citizen volunteer Reno Basin multiple instrument temporary deployment using USArray Flexible Array single-channel RefTek RT-125A (Texan) recorders. Stations were deployed at 106 locations in the Reno Basin during the May-July 2008 period of the 2008 west urban Reno Mogul earthquake swarm. This was a very dense deployment as the basin only occupies about 150 square kilometers. The Flexible Array deployment supplemented recordings from 46 NSL/ANSS regional network stations, Reno area strong-motion, and 12 IRIS RAMP stations. This allowed relocation of 97 events in the West Reno/Mogul sequence during May-July 2008, using phase arrivals on all network and volunteer Texan stations. Hypoinverse runs showed no less location error with added Texans, but visually, the events are drawn into tighter clusters. An average station delay map, a mode-of-station-delay map, and a map of the standard deviations of the average station delays confirm that the western part of the basin is thickest. Negative delays and high standard deviations in delay times in the Verdi Basin confirmed the basin to be narrow and complex.
Mapping crustal structure and deformation using gravity data in Mapping crustal structure and deformation using gravity data in the Bursa Basin and surroundings, Türkiye the Bursa Basin and surroundings, Türkiye

: The structure and deformation of the Bursa Basin and surroundings was carried out through the interpretation of Bouguer gravity and isostatic residual gravity anomalies. The spectral analysis was carried out on Bouguer anomalies to obtain the average depths of the crustal structure under the Bursa Basin and surroundings. Parker–Oldenburg algorithm was used to estimate the depths of the interface between upper and lower crust with respect to an average depth and density contrast. We used Mallick–Sharma algorithm to separate the regional gravity anomalies from Bouguer anomalies to estimate the isostatic residual gravity anomalies. Euler deconvolution and two-dimensional density contrast distribution obtained from the isostatic residual gravity anomalies are investigated to highlight the structure of the shallower part of upper crustal domain. We focus on a detailed basin evolution combined with stress field originated from geoid undulation while updating the new neotectonic framework. We also demonstrate significant correlations between the earthquake distribution and stress field variations. The results suggest that the geometry and deformation of upper crust is associated with shallower and deeper multiple fault segments in a strike-slip
40Ar/39Ar dating and magnetostratigraphic correlation of the terrestrial Cretaceous–Paleogene boundary and Puercan Mammal Age, Hell Creek – Tullock formations, eastern Montana

The recovery and subsequent prolific radiation of mammals in the northern Western Interior of North America following the Cretaceous–Paleogene (K–P) boundary is well documented in rocks attributed to the Puercan Land Mammal Age. The most complete Puercan record is that of the Tullock Formation, which crops out widely in Garfield and McCone counties, eastern Montana. The Tullock Formation overlies the dinosaur-bearing Hell Creek Formation and consists of a stratigraphic series of channel and overbank deposits from which well-preserved Puercan faunas have been collected. These channel deposits are typically bracketed by widespread coal beds. The IrZ- and Z-coals mark the base of the Puercan at the K–P boundary as defined by the highest appearing local occurrences of in situ dinosaur fossils, the highest stratigraphic occurrence of Cretaceous pollen, and an anomalously high concentration of the element iridium (Ir). The IrZ-Coal is overlain sequentially by the Z-, HFZ-, Y-, W-, and U-coals.Fossil vertebrates.
Graded levels of dietary pink oyster mushroom, Pleurotus djamor meal, affect growth, feed efficiency, lipase activity, and fiber content in final whole body of fingerlings of the Nile tilapia, Oreochromis niloticus (Actinopterygii: Cichliformes: Cichlidae)

) Graded levels of dietary pink oyster mushroom, Pleurotus djamor meal, affect growth, feed efficiency, lipase activity, and fiber content in final whole body of fingerlings of the Nile tilapia, Oreochromis niloticus (Actinopterygii: Cichliformes: Cichlidae). Acta Ichthyologica et Piscatoria 53: 163–172. https://doi.
Effect of Concord Grape Juice on Chemotherapy-Induced Nausea and Vomiting: Results of a Pilot Study

Purpose/Objectives: To determine the feasibility of administering a flavonoid-rich adjunctive treatment (Concord grape juice) for the management of chemotherapy-induced nausea and vomiting (CINV); to evaluate the usefulness of existing measures for assessing CINV frequency and severity, quality of life, control over life events, and psychological state; to identify any actual or potential adverse events associated with frequent grape juice intake; and to provide preliminary data concerning the effect of Concord grape juice on CINV, quality of life, perceived control over life events, and psychological state. Design: Double-blind, randomized clinical trial. Setting: A cancer center in an academic health science center in the northeastern United States. Sample: 77 adult patients with cancer receiving moderately or highly emetogenic chemotherapy agents. Methods: Participants drank 4 oz. of grape juice or placebo prior to meals for one week following each of four chemotherapy treatment cycles. They recorded frequency, duration, and distress of nausea, vomiting, and retching daily, beginning the evening of chemotherapy administration and continuing for seven days. Data were analyzed with generalized estimating equations methodology to model differences between groups over time. Main Research Variables
Sensors and Actuators B: Chemical

A self-driving, thermal-di ﬀ usion-based bioassay for the detection of microorganisms in a liquid medium is presented in this paper. In the bioassay, each particle functions as an individual sensing probe. Thus, the representative Brownian velocity of microparticles can be obtained by analyzing the velocity histogram of each particle. The ensemble average was used to enhance peak Brownian velocity. Relative error was reduced to 0.5% when the number of counted particles exceeded 60. The experimentally measured and theoretically derived Brownian velocities and diameters of the particles were in good agreement. The relative standard deviations of the temporal stability and reproducibility of the bioassay were maintained below 1.2%. A calibration curve was constructed and used to distinguish two mixed colloidal suspensions to provide proof that the bioassay can be used in practical applications. The particles were functionalized with antibodies to enable the real biological application of the bioassay in the capture and detection of motile Pseudomonas aeruginosa and nonmotile Staphylococcus aureus . The di ﬀ usivity values of both bacterial growth media decreased as bacterial concentration increased. Given that the viscosity of the growth media varied as bacteria proliferated, additional bacteria-free reference particles were added to the medium to provide dynamic background information. The di ﬀ usion-based bioassay presented here is easy to use, robust, and highly reliable. In contrast to most existing biosensors, it does not require an external power source and is thus ideal for use in resource-limited areas.
Fully leafed induced subtrees ∗

Let G be a simple graph on n vertices. We consider the problem LIS of deciding whether there exists an induced subtree with exactly i ≤ n vertices and (cid:96) leaves in G . We study the associated optimization problem, that consists in computing the maximal number of leaves, denoted by L G ( i ), realized by an induced subtree with i vertices, for 0 ≤ i ≤ n . We begin by proving that the LIS problem is NP-complete in general and then we compute the values of the map L G for some classical families of graphs and in particular for the d -dimensional hypercubic graphs Q d , for 2 ≤ d ≤ 6. We also describe a nontrivial branch and bound algorithm that computes the function L G for any simple graph G . In the special case where G is a tree of maximum degree ∆, we provide a O ( n 3 ∆) time and O ( n 2 ) space algorithm to compute the function L G .
Conformer: A Parallel Segmentation Network Combining Swin Transformer and Convolution Neutral Network

Abdominal organ segmentation can help doctors to have a more intuitive observation of the abdominal organ structure and tissue lesion structure, thereby improving the accuracy of disease diagnosis. Accurate segmentation results can provide valuable information for clinical diagnosis and follow-up, such as organ size, location, boundary status, and spatial relationship of multiple organs. Manual labels are precious and difficult to obtain in medical segmentation, so the use of pseudo-labels is an irresistible trend. In this paper, we demonstrate that pseudo-labels are beneficial to enrich the learning samples and enhance the feature learning ability of the model for abdominal organs and tumors. In this paper, we propose a semi-supervised parallel segmentation model that simultaneously aggregates local and global information using parallel modules of CNNS and transformers at high scales. The two-stage strategy and lightweight network make our model extremely efficient. Our method achieved an average DSC score of 89.58% and 3.78% for the organs and tumors, respectively, on the testing set. The average NSD scores were 93.33% and 1.81% for the organs and tumors, respectively. The average running time and area under GPU memory-time curve are 14.85s and 15962MB.
Satellite‐based retrieval of ice cloud properties using a semianalytical algorithm

[1] A semianalytical algorithm for the retrieval of ice cloud properties from satellite data is presented. The new method is based on the semianalytical cloud retrieval algorithm and uses solutions of the asymptotic radiative transfer theory applicable for optically thick media. Therefore the new method is much less computer time expensive than the commonly used lookup table approaches. Usually, the cloud optical thickness and cloud effective droplet radius are reported for water and ice clouds even though both parameters are dependent on the actual crystal shape assumed in the retrieval procedures. Thus the authors propose to use the reduced optical thickness (ROT) and the particle absorption length (PAL) for the characterization of ice clouds. This implies that no a priori or climatological estimates of the particle shape/size distribution are necessary and increases the comparability of different cloud retrieval algorithms, which are built on many different distribution functions. If still necessary, the retrieved ROT and PAL can easily be transferred to values of the optical thickness and the cloud effective droplet radius by assuming any of those size distribution functions. The developed technique has been applied to data from the NASA EOS Terra Moderate Resolution Imaging Spectroradiometer sensor. The scene shows Hurricane Jeanne just before its landfall near the coast of Florida in September 2004. Both the reduced cloud optical thickness and the particle absorption length have been derived for the eye wall region.
1·,25-Dihydroxyvitamin D 3 Modulates the Response of Human Keratinocytes to Ionizing Radiation Exposure

Background: Exposure of human skin to ionizing radiation may result in various effects such as inflammation, keratosis, fibrosis and cancer. 1·,25-Dihydroxyvitamin D 3 (1·,25(OH) 2 D 3 ), the biologically active metabolite of vitamin D, has been shown to exert pleiotropic effects on the skin. The aim of the study was to evaluate the effect of 1·,25(OH) 2 D 3 on the radiation response of human keratinocytes. Materials and Methods: Keratinocytes (HaCaT), either untreated or pretreated with 1·,25(OH) 2 D 3 , were irradiated with 0-7.5 Gy. Growth curves were generated to determine cell proliferation. Cell survival was examined using a clonogenic assay. The cell surface expression of adhesion molecules was investigated by flow cytometry. Results: The cell growth and clonogenic survival of irradiated keratinocytes were both significantly increased by 1·,25(OH) 2 D 3 . Ionizing radiation caused an up-regulation of the cell surface expression of intercellular adhesion molecule-1 (ICAM-1) and integrins beta1 (CD29), alpha2 (CD49b), alpha5 (CD49e) and alpha6 (CD49f) in keratinocytes, which was inhibited by 1·,25(OH) 2 D 3 . Conclusion: The data suggest that 1·,25(OH) 2 D 3 may be a promising agent to modify the radiation reaction, thus offering new options in radiotherapy and oncology.
Enhancing Students’ Understanding Of English Grammar Through Literary Works And Exploring Students’ Voice On Their Use

Grammar is a substantial English element commonly considered as a challenging component. This paradigm appears in all education levels including university. Based on the pre-test in a grammar class, the average score of the grammar test was only 62.76, or it was still in C level. The researchers concurred that action research was required, and the solution chosen was literary works such as a short story, a film script, and a novel. This study aimed to enhance students' understanding of English grammar and investigate students' voices on the usage of literary works. This research was successful if the average score of post-test achieved 70 (minimum grade for B level). Then, the instruments employed to obtain the data were tests and questioner. The results revealed that literary works can boost grammar mastery. The average score of the post-test was 70.53, or there was a 12.38% of improvement. This result surpassed the success indicator of this action study. The student perceptions of the use of literary works also tended to be positive since all the items in the questioner received positive responses. Overall, literary works can enhance students' mastery of English structure, and literary works as the proposed media receive positive responses from the pupils.
A generalized framework for embedding-based few-shot learning methods in drug discovery

Building models for molecular properties and activities based on very few measurements is a central problem in drug discovery. Almost all drug discovery projects start with one or few known active molecules and face the problem of selecting promising molecules for screening. Therefore, few-shot learning methods have been introduced to computer-aided drug design, which have the potential to improve this critical phase of the drug discovery process. However, it is currently unclear how they relate to each other and how they compare to classical chemoinformatics methods, such as Similarity Search. In this work, we present a generalized framework, by which we can explain the relation of few-shot learning methods in drug discovery. This framework reveals under-explored architectures and relations to classical chemoinformatics methods. Experiments on the few-shot benchmarking dataset FS-Mol show that classic chemoinformatics methods out-perform several recent few-shot learning methods and suggest novel promising architecture designs.
AI-based Spectral Analysis on Music Conducting Fourier-Analytic Expansion of Boulez-Itoʼs Angular Dynamic Method for Conducting

We present the spectral analysis of conducting physical movements by exploiting machine learning systems pre-trained human pose vector representations. 2 or 3-dimensional dynamic motions are extracted from 2D original video recorded in actual musical live performances. The fundamental movement of conducting are projected into angular velocity and angular acceleration according to the Angular-Dynamics method originated with Pierre Boulez and Ken Ito. Musculoskeletal motion spectrum are calculated when Fourier transform is applied. No previous work discussing spectrums and harmonics of corporal musical movements exists. A new way of systematization on various musical performances would be expected from here
Improvement of Wavelet Threshold and Application in Remote Sensing Images

For remote sensing image de-noising,the threshold of Wavelet domain can effectively remove image noise,however,the value of threshold is fixed.For example,Donoho brings forward the general threshold value reducing noises formulary based on wavelet transform,for the absent of self-adaptability between scales,the images lose many details.The paper improves Donoho threshold and threshold function,and puts forward the method to establish the coefficient of the threshold adaptation.
Brucella exposure risk events in 10 clinical laboratories, New York Brucella exposure risk events in 10 clinical laboratories, New York City, USA, 2015 to 2017 City, USA, 2015 to 2017

From 2015 to 2017, 11 conﬁrmed brucellosis cases were reported in New York City, leading to 10 Brucella exposure risk events ( Brucella events) in 7 clinical laboratories (CLs). Most patients had traveled to countries where brucellosis is endemic and presented with histories and ﬁndings consistent with brucellosis. CLs were not notiﬁed that specimens might yield a hazardous organism, as the clinicians did not consider brucellosis until they were notiﬁed that bacteremia with Brucella was suspected. In 3 Brucella events, the CLs did not suspect that slow-growing, small Gram-negative bacteria might be harmful. Matrix-assisted laser desorption ionization–time of ﬂight mass spectrometry (MALDI-TOF MS), which has a limited capacity to identify biological threat agents (BTAs), was used during 4 Brucella events, which accounted for 84% of exposures. In 3 of these incidents, initial staining of liquid media showed Gram-positive rods or cocci, including some cocci in chains, suggesting streptococci. Over 200 occupational exposures occurred when the unknown isolates were manipulated and/or tested on open benches, including by procedures that