Miracle-dz/UniFAR-FTUs huggingface dataset:
Differences Between Patients With Diabetes Mellitus and Those Without in Cases of Necrotizing Fasciitis

Purposes This study aims to evaluate further differences between patients with diabetes and those without who have been diagnosed with necrotizing fasciitis (NF) to assist clinicians in improving morbidity and mortality. Methods All patients diagnosed with NF of an extremity were retrospectively reviewed and divided into two groups based on a diagnosis of diabetes. Patient charts were reviewed to obtain multiple variables, which were compared between groups. Results From 2015 to 2021, 115 patients underwent surgical intervention due to concern for NF of an extremity with 92 patients included for data computation. Patients with diabetes had an average Laboratory Risk Indicator for Necrotizing Fasciitis (LRINEC) score of 9.02 compared to 7.24 (p=0.02). Patients with diabetes had a significantly higher rate of undergoing amputation when diagnosed with NF (p<0.0001). The mortality rate for diabetes and non-diabetes cohorts were 30.9% and 18.9%, respectively (p=0.2). Conclusion This study demonstrated that patients with diabetes with confirmed NF of an extremity had a significantly higher LRINEC score were more likely to undergo an amputation primarily, and were more likely to have a polymicrobial infection compared to those without. The overall mortality rate of NF was 26.1%.
Detection of Android Malware Based on Deep Forest and Feature Enhancement

Detecting Android malware in its spread or download stage is a challenging work, which can realize early detection of malware before it reaches user side. In this paper, we propose a two-stage detection framework based on feature enhancement and cascade deep forest. This method can detect the traffic generated in the encrypted transmission process of Android malware. The first stage realizes the binary classification of benign and malicious software. The second stage realizes the multi-classification of different categories of malware. To enhance data representation, convolutional neural networks is used to extract benign and malicious features in the first stage, and the principal component analysis method is used to extract the malicious features in the second stage. Theses extracted features are spliced with the payload part of the traffic to form fusion features for classification task. In order to adapt to different scale of samples, especially for the small-scale sample, cascaded deep forest method is proposed to construct the classification model. In this model, many layers that consist of base classifiers are cascaded and the number of layers can be automatically adjusted according to the scale of the samples. With different combinations of base classifiers in each layer, the optima detection accuracy is archived in the two stages. The experimental results on several datasets prove that the proposed method is effective for encrypted transmission detection of Android malware. It is also suitable for the detection of unknown attacks.
A Lin-Kernighan Heuristic for Single Row Facility Layout

The single row facility layout problem (SRFLP) is the problem of arranging facilities with given lengths on a line, while minimizing the weighted sum of the distances between all pairs of facilities. The problem is known to be NP-hard. In this paper, we present a neighborhood search heuristic called LK-INSERT which uses a Lin-Kernighan neighborhood structure built on insertion neighborhoods. To the best of our knowledge this is the first such heuristic for the SRFLP. Our computational experiments show that LK-INSERT is competitive and improves the best known solutions for several large sized benchmark SRFLP instances.
Analisis Pengaruh Firm Size dan Sales Growth Terhadap Return Saham

The purpose of this study was to determine the effect of Firm Size and Sales Growth on Stock Return in food and beverage sub-sector companies in 2017-2020. The method used is a quantitative method through an associative descriptive approach. The sample used in this study is by using purposive sampling. Of the 30 members of the food and beverage sub-sector companies, 10 companies were selected as samples. Using secondary data collection techniques and multiple linear regression analysis methods to test this research. The results of this study indicate that there is no influence between firm size on stock returns and there is an influence between sales growth on stock returns in food and beverage sub-sector companies listed on the Indonesia Stock Exchange. Keywords : Firm Size, Sales Growth, Stock Return
Determinants of severe QTc prolongation in a real-world gerontopsychiatric setting

Introduction QTc prolongation carries the risk of ventricular tachyarrhythmia (Torsades de Pointes) and sudden cardiac death. Psychotropic drugs can affect ventricular repolarization and thus prolong the QTc interval. The present study sought to investigate the risk factors (pharmacological and non-pharmacological) of severe QTc prolongation in gerontopsychiatric patients. Methods Electrocardiograms of patients on a gerontopsychiatric ward were screened for QTc prolongation. Medication lists were examined utilizing the AzCERT classification. Potential drug interactions were identified with the electronic drug interaction program mediQ. Results The overall prevalence of QTc prolongation was 13.6%, with 1.9% displaying severe QTc prolongation (≥ 500 ms). No statistically significant differences between patients with moderate and severe QTc prolongation were identified; however, patients with severe QTc prolongation tended to take more drugs (p = 0.063). 92.7% of patients with QTc prolongation took at least one AzCERT-listed drug, most frequently risperidone and pantoprazole. Risperidone and pantoprazole, along with pipamperone, were also most frequently involved in potential drug interactions. All patients displayed additional risk factors for QTc prolongation, particularly cardiac diseases. Conclusion In addition to the use of potentially QTc-prolonging drugs, other risk factors, especially cardiac diseases, appear to be relevant for the development of QTc prolongation in gerontopsychiatric patients. Pantoprazole was frequently involved in potential drug interactions and should generally not be used for more than 8 weeks in geriatric populations. As clinical consequences of QTc prolongation were rare, potentially QTc-prolonging drugs should not be used overcautiously; their therapeutic benefit should be considered as well. It is paramount to perform diligent benefit–risk analyses prior to the initiation of potentially QTc-prolonging drugs and to closely monitor their clinical (side) effects.
Measurements of wave-induced steady currents outside the surf zone

Experimental measurements of the steady current induced by progressive regular waves outside the surf zone are reported and discussed herein. The experiments have been conducted in a large wave flume to minimize scale effects. The velocity data were acquired using Acoustic Doppler Velocimeters. It has been observed that the mean velocity profiles have a pronounced dependence on the wave period. As it decreases, the mean velocity just below the wave trough increases in the offshore direction while close to the bottom it increases in the onshore direction. The observed qualitative trend is different from that predicted by the theory and also from that reported by other experimental campaigns. The presence of turbulence in the bottom boundary layer along with wave asymmetry partially explain these differences. However, other experimental data in the literature agree with the present results.
Emerging Ethical Issues in Police and Public Safety Psychology: Reflections on Mandatory vs. Aspirational Ethics

This chapter presents commonly experienced ethical dilemmas among police and public safety psychologists. Real-world, relevant examples are offered with an emphasis on emerging ethical issues. Related American Psychological Association (APA) ethical principles and standards for psychologists and codes of conduct are highlighted. The possibility that ethical dilemmas go unrecognized due to a focus on mandatory rather than aspirational ethics is considered. Solutions for resolving ethical dilemmas are presented.
Wave-Turbulence Interactions in a Breaking Mountain Wave

Abstract The mean and turbulent structures in a breaking mountain wave are considered through an ensemble of high-resolution (essentially large-eddy simulation) wave-breaking calculations. Of particular interest are the turbulent heat and momentum fluxes in the breaking wave and their roles in shaping the wave-scale and larger-scale flows. The evolution of the breaking wave in the ensemble mean is found to be broadly consistent with prior low-resolution calculations. A turbulent kinetic energy budget for the wave shows that the turbulence production is almost entirely due to the mean shear. Most of the production is at the top of the leeside shooting flow, where the mean-flow Richardson number is persistently less than 0.25. The turbulent dissipation of mean-flow wave energy is shown to result mainly from the turbulent momentum fluxes—specifically, from the tendency of these fluxes to act counter to the mean-flow disturbance wind. Of particular importance is the eddy deceleration of the leeside shooting f.
GCP16 stabilizes the DHHC9 subfamily of protein acyltransferases through a conserved C-terminal cysteine motif

Protein S-acylation is a reversible lipid post-translational modification that allows dynamic regulation of processes such as protein stability, membrane association, and localization. Palmitoyltransferase ZDHHC9 (DHHC9) is one of the 23 human DHHC acyltransferases that catalyze protein S-acylation. Dysregulation of DHHC9 is associated with X-linked intellectual disability and increased epilepsy risk. Interestingly, activation of DHHC9 requires an accessory protein—GCP16. However, the exact role of GCP16 and the prevalence of a requirement for accessory proteins among other DHHC proteins remain unclear. Here, we report that one role of GCP16 is to stabilize DHHC9 by preventing its aggregation through formation of a protein complex. Using a combination of size-exclusion chromatography and palmitoyl acyltransferase assays, we demonstrate that only properly folded DHHC9-GCP16 complex is enzymatically active in vitro. Additionally, the ZDHHC9 mutations linked to X-linked intellectual disability result in reduced protein stability and DHHC9-GCP16 complex formation. Notably, we discovered that the C-terminal cysteine motif (CCM) that is conserved among the DHHC9 subfamily (DHHC14, -18, -5, and -8) is required for DHHC9 and GCP16 complex formation and activity in vitro. Co-expression of GCP16 with DHHCs containing the CCM improves DHHC protein stability. Like DHHC9, DHHC14 and DHHC18 require GCP16 for their enzymatic activity. Furthermore, GOLGA7B, an accessory protein with 75% sequence identity to GCP16, improves protein stability of DHHC5 and DHHC8, but not the other members of the DHHC9 subfamily, suggesting selectivity in accessory protein interactions. Our study supports a broader role for GCP16 and GOLGA7B in the function of human DHHCs.
J – K DENIS photometry of a VLTI-selected sample of bright southern stars

We present a photometric survey of bright southern stars carried out using the DENIS instrument equipped with attenuating filters. The observations were carried out not using the survey mode of DENIS, but with individual target pointings. This project was stimulated by the need to obtain near-infrared photometry of stars to be used in early commissioning observations of the ESO Very Large Telescope Interferometer, and in particular to establish a network of bright calibrator sources. We stress that near-infrared photometry is peculiarly lacking for many bright stars. These stars are saturated in 2MASS as well as in regular DENIS observations. The only other observations available for bright infrared stars are those of the Two Micron Sky Survey dating from over thirty years ago. These were restricted to declinations above ? -30°, and thus cover only about half of the sky accessible from the VLTI site. We note that the final 2MASS data release includes photometry of bright stars, obtained by means of point-spread function fitting. However, this method only achieves about 30% accuracy, which is not sufficient for most applications. In this work, we present photometry for over 600 stars, each with at least one and up to eight measurements, in the J and K filters. Typical accuracy is at the level of 0\fm05 and 0\fm04 in the J and K_s bands, respectively. Based on observations collected at the European Southern Observatory, La Silla. Tables 1 and 2 are only available in electronic form at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (130.79.128.5) or via http://cdsweb.u-strasbg.fr/cgi-bin/qcat? J/A+A/413/1037
LSPpred Suite: Tools for Leaderless Secretory Protein Prediction in Plants

Plant proteins that are secreted without a classical signal peptide leader sequence are termed leaderless secretory proteins (LSPs) and are implicated in both plant development and (a)biotic stress responses. In plant proteomics experimental workflows, identification of LSPs is hindered by the possibility of contamination from other subcellar compartments upon purification of the secretome. Applying machine learning algorithms to predict LSPs in plants is also challenging due to the rarity of experimentally validated examples for training purposes. This work attempts to address this issue by establishing criteria for identifying potential plant LSPs based on experimental observations and training random forest classifiers on the putative datasets. The resultant plant protein database LSPDB and bioinformatic prediction tools LSPpred and SPLpred are available at lsppred.lspdb. org. The LSPpred and SPLpred modules are internally validated on the training dataset, with false positives controlled at 5%, and are also able to classify the limited number of established plant LSPs (SPLpred (3/4, LSPpred 4/4). Until such time as a larger set of bona fide (independently experimentally validated) LSPs is established using imaging technologies (light/fluorescence/electron microscopy) to confirm sub-cellular location, these tools represent a bridging method for predicting and identifying plant putative LSPs for subsequent experimental validation.
Maize silage as sole forage source for dairy cows in small-scale systems in the highlands of central Mexico

Present study was undertaken to evaluate forage options for dairy cows in small-scale dairy systems under lower availability of water for irrigation, using maize silage as sole forage or grazed cultivated pasture plus maize silage. Two groups of 5 Holstein cows balanced in live-weight, parity and days in milk were formed. The productive and economic performance of treatment T1 that received a diet of maize silage (12.8 kg DM/cow/day) plus 3.5 kg/day of a high protein concentrate (71% soyabean meal and 29% ground maize grain) was compared with treatment T2 of grazed ryegrass-white clover irrigated pasture for 8 h/day, 8.1 kg DM/cow/day of maize silage and 5.0 kg of commercial concentrate with 18% CP. The experiment lasted for 11 weeks. Milk yields were 19.2 and 17.1 kg/cow/day for T1 and T2. There were no significant differences for milk fat or protein content, live-weight or body condition score. Although total feeding costs were higher in T1 (4%), the slightly higher milk yield resulted in a cost per litre 10.5% less in T1; representing 7% higher returns/feeding cost ratio. T1 is an option in future scenarios of scarce water for irrigation and for small-scale dairy farmers without access to irrigation.
Hot & cold dust in M31: the resolved SED of Andromeda

Abstract Due to its proximity, the Andromeda galaxy (M31, NGC 224) offers a unique insight into how the spectra of stars, dust, and gas combine to form the integrated Spectral Energy Distribution (SED) of galaxies. We introduce here Herschel Space Observatory PACS and SPIRE photometric observations of M31 which cover the far-infrared to sub-mm wavelengths (70-500 μm). These new observations reveal that the total IR luminosity of M31 is relatively weak, with LIR=109.65L⊙, only 10% of the total luminosity of M31. However, as seen in the previous studies of M31, the IR luminosity is dominated by a 10 kpc ring in all Herschel bands. This is distinct from the optical, where the bulge in the central 2kpc, dominates the luminosity, clearly demonstrating how different components at distinct positions in a galaxy contribute to make the integrated SED.
A digital “flat affect”? Popular speech compression codecs and their effects on emotional prosody

Introduction Calls via video apps, mobile phones and similar digital channels are a rapidly growing form of speech communication. Such calls are not only— and perhaps less and less— about exchanging content, but about creating, maintaining, and expanding social and business networks. In the phonetic code of speech, these social and emotional signals are considerably shaped by (or encoded in) prosody. However, according to previous studies, it is precisely this prosody that is significantly distorted by modern compression codecs. As a result, the identification of emotions becomes blurred and can even be lost to the extent that opposing emotions like joy and anger or disgust and sadness are no longer differentiated on the recipients' side. The present study searches for the acoustic origins of these perceptual findings. Method A set of 108 sentences from the Berlin Database of Emotional Speech served as speech material in our study. The sentences were realized by professional actors (2m, 2f) with seven different emotions (neutral, fear, disgust, joy, boredom, anger, sadness) and acoustically analyzed in the original uncompressed (WAV) version and as well as in strongly compressed versions based on the four popular codecs AMR-WB, MP3, OPUS, and SPEEX. The analysis included 6 tonal (i.e. f0-related) and 7 non-tonal prosodic parameters (e.g., formants as well as acoustic-energy and spectral-slope estimates). Results Results show significant, codec-specific distortion effects on all 13 prosodic parameter measurements compared to the WAV reference condition. Means values of automatic measurement can, across sentences, deviate by up to 20% from the values of the WAV reference condition. Moreover, the effects go in opposite directions for tonal and non-tonal parameters. While tonal parameters are distorted by speech compression such that the acoustic differences between emotions are increased, compressing non-tonal parameters make the acoustic-prosodic profiles of emotions more similar to each other, particularly under MP3 and SPEEX compression. Discussion The term “flat affect” comes from the medical field and describes a person's inability to express or display emotions. So, does strong compression of emotional speech create a “digital flat affect”? The answer to this question is a conditional “yes”. We provided clear evidence for a “digital flat affect”. However, it seems less strongly pronounced in the present acoustic measurements than in previous perception data, and it manifests itself more strongly in non-tonal than in tonal parameters. We discuss the practical implications of our findings for the everyday use of digital communication devices and critically reflect on the generalizability of our findings, also with respect to their origins in the codecs' inner mechanics.
Functional Peptide-Loaded Gelatin Nanoparticles as Eyedrops for Cornea Neovascularization Treatment

Background Corneal neovascularization (NV) is a process of abnormal vessel growth into the transparent cornea from the limbus and can disturb the light passing through the cornea, resulting in vision loss or even blindness. The use of nanomedicine as an effective therapeutic formulation in ophthalmology has led to higher drug bioavailability and a slow drug release rate. In this research, we designed and explored the feasibility of a new nanomedicine, gp91 ds-tat (gp91) peptide-encapsulated gelatin nanoparticles (GNP-gp91), for inhibiting corneal angiogenesis. Methods GNP-gp91 were prepared by a two-step desolvation method. The characterization and cytocompatibility of GNP-gp91 were analyzed. The inhibition effect of GNP-gp91 on HUVEC cell migration and tube formation was observed by an inverted microscope. The drug retention test in mouse cornea was observed by in vivo imaging system, fluorescence microscope, and DAPI/TAMRA staining. Finally, the therapeutic efficacy and evaluation of neovascularization-related factors were conducted through the in vivo corneal NV mice model via topical delivery. Results The prepared GNP-gp91 had a nano-scale diameter (550.6 nm) with positive charge (21.7 mV) slow-release behavior (25%, 240hr). In vitro test revealed that GNP-gp91 enhanced the inhibition of cell migration and tube formation capacity via higher internalization of HUVEC. Topical administration (eyedrops) of the GNP-gp91 significantly prolongs the retention time (46%, 20 min) in the mouse cornea. In chemically burned corneal neovascularization models, corneal vessel area with a significant reduction in GNP-gp91 group (7.89%) was revealed when compared with PBS (33.99%) and gp91 (19.67%) treated groups via every two days dosing. Moreover, GNP-gp91 significantly reduced the concentration of Nox2, VEGF and MMP9 in NV’s cornea. Conclusion The nanomedicine, GNP-gp91, was successfully synthesized for ophthalmological application. These data suggest that GNP-gp91 contained eyedrops that not only have a longer retention time on the cornea but also can treat mice corneal NV effectively delivered in a low dosing frequency, GNP-gp91 eyedrops provides an alternative strategy for clinical ocular disease treatment in the culture.
Spatial distribution and seasonal variation of fish larvae in the upper 200 m of the Philippine Sea

The Philippine Sea, owing to its complicated circulation pattern and the presence of numerous seamounts, is considered to be a hotspot for biodiversity and an important fishing ground. However, to date, few studies on ichthyoplankton in the Philippine Sea have been conducted. During the summer, autumn, and winter of 2020–2021, a series of investigations were conducted to study the spatial and temporal structure of fish larvae in the Philippine Sea. A total of 65 samples were collected by vertical hauling from a depth of 200 m to the surface. A total of 882 fish larvae representing 81 distinct taxa, 49 genera, and 23 families were identified. A seasonal pattern was also observed based on the differences in abundance and dominant taxa. The abundance of fish larvae was 11.35 ± 12.46 ind. /100 m3 (mean ± sd.) in summer, 5.83 ± 7.03 ind. /100 m3 in autumn, and 2.57 ± 2.73 ind. /100 m3 in winter. The dominant species were Vinciguerria nimbaria, Encrasicholina punctifer, and Cyclothone sp. in summer, V. nimbaria, and Ceratoscopelus warmingii in autumn, and Diaphus spp. , D. garmani, and Sigmops sp. in winter. A significant latitudinal variation in fish larvae assemblages was found via cluster analysis, and two geographic groups were separated by the northern boundary of the North Equatorial Current. In addition, the fish larvae species diversity also showed a significant latitudinal gradient in autumn, which disappeared in summer. Canonical correspondence analysis indicated that the structure of fish larvae assemblages was affected by average temperature, salinity, and net primary productivity in the upper ocean and sea level anomaly. All dominant species were associated with specific niche environments. This study suggests that latitudinal zonation of fish larvae also occurs in the oligotrophic low latitude Pacific Ocean and is enhanced in autumn. These results provide multi-seasonal baseline data of fish larvae assemblage in the upper Philippine Sea, being an important reference for the planning of marine protected areas in the high seas.