Miracle-dz/UniFAR-FTUs huggingface dataset:
The O-Methyltransferase SrsB Catalyzes the Decarboxylative Methylation of Alkylresorcylic Acid during Phenolic Lipid Biosynthesis by Streptomyces griseus

ABSTRACT Streptomyces griseus contains the srs operon, which is required for phenolic lipid biosynthesis. The operon consists of srsA, srsB, and srsC, which encode a type III polyketide synthase, an O-methyltransferase, and a flavoprotein hydroxylase, respectively. We previously reported that the recombinant SrsA protein synthesized 3-(13′-methyltetradecyl)-4-methylresorcinol, using iso-C16 fatty acyl-coenzyme A (CoA) as a starter substrate and malonyl-CoA and methylmalonyl-CoA as extender substrates. An in vitro SrsA reaction using [13C3]malonyl-CoA confirmed that the order of extender substrate condensation was methylmalonyl-CoA, followed by two extensions with malonyl-CoA. Furthermore, SrsA was revealed to produce an alkylresorcylic acid as its direct product rather than an alkylresorcinol. The functional SrsB protein was produced in the membrane fraction in Streptomyces lividans and used for the in vitro SrsB reaction. When the SrsA reaction was coupled, SrsB produced alkylresorcinol methyl ether in the presence of S-adenosyl-l-methionine (SAM). SrsB was incapable of catalyzing the O-methylation of alkylresorcinol, indicating that alkylresorcylic acid was the substrate of SrsB and that SrsB catalyzed the conversion of alkylresorcylic acid to alkylresorcinol methyl ether, namely, by both the O-methylation of the hydroxyl group (C-6) and the decarboxylation of the neighboring carboxyl group (C-1). O-methylated alkylresorcylic acid was not detected in the in vitro SrsAB reaction, although it was presumably stable, indicating that O-methylation did not precede decarboxylation. We therefore postulated that O-methylation was coupled with decarboxylation and proposed that SrsB catalyzed the feasible SAM-dependent decarboxylative methylation of alkylresorcylic acid. To the best of our knowledge, this is the first report of a methyltransferase that catalyzes decarboxylative methylation.
Inspector Gadget: Automated Extraction of Proprietary Gadgets from Malware Binaries

Unfortunately, malicious software is still an unsolved problem and a major threat on the Internet. An important component in the fight against malicious software is the analysis of malware samples: Only if an analyst understands the behavior of a given sample, she can design appropriate countermeasures. Manual approaches are frequently used to analyze certain key algorithms, such as downloading of encoded updates, or generating new DNS domains for command and control purposes. In this paper, we present a novel approach to automatically extract, from a given binary executable, the algorithm related to a certain activity of the sample. We isolate and extract these instructions and generate a so-called gadget, i.e., a stand-alone component that encapsulates a specific behavior. We make sure that a gadget can autonomously perform a specific task by including all relevant code and data into the gadget such that it can be executed in a self-contained fashion. Gadgets are useful entities in analyzing malicious software: In particular, they are valuable for practitioners, as understanding a certain activity that is embedded in a binary sample (e.g., the update function) is still largely a manual and complex task. Our evaluation with several real-world samples demonstrates that our approach is versatile and useful in practice.
Advancements in Spinal Cord Injury Repair: Insights from Dental-Derived Stem Cells

Spinal cord injury (SCI), a prevalent and disabling neurological condition, prompts a growing interest in stem cell therapy as a promising avenue for treatment. Dental-derived stem cells, including dental pulp stem cells (DPSCs), stem cells from human exfoliated deciduous teeth (SHED), stem cells from the apical papilla (SCAP), dental follicle stem cells (DFSCs), are of interest due to their accessibility, minimally invasive extraction, and robust differentiating capabilities. Research indicates their potential to differentiate into neural cells and promote SCI repair in animal models at both tissue and functional levels. This review explores the potential applications of dental-derived stem cells in SCI neural repair, covering stem cell transplantation, conditioned culture medium injection, bioengineered delivery systems, exosomes, extracellular vesicle treatments, and combined therapies. Assessing the clinical effectiveness of dental-derived stem cells in the treatment of SCI, further research is necessary. This includes investigating potential biological mechanisms and conducting Large-animal studies and clinical trials. It is also important to undertake more comprehensive comparisons, optimize the selection of dental-derived stem cell types, and implement a functionalized delivery system. These efforts will enhance the therapeutic potential of dental-derived stem cells for repairing SCI.
Multi-Sensor Data Fusion Using a Relevance Vector Machine Based on an Ant Colony for Gearbox Fault Detection

Sensors play an important role in the modern manufacturing and industrial processes. Their reliability is vital to ensure reliable and accurate information for condition based maintenance. For the gearbox, the critical machine component in the rotating machinery, the vibration signals collected by sensors are usually noisy. At the same time, the fault detection results based on the vibration signals from a single sensor may be unreliable and unstable. To solve this problem, this paper proposes an intelligent multi-sensor data fusion method using the relevance vector machine (RVM) based on an ant colony optimization algorithm (ACO-RVM) for gearboxes’ fault detection. RVM is a sparse probability model based on support vector machine (SVM). RVM not only has higher detection accuracy, but also better real-time accuracy compared with SVM. The ACO algorithm is used to determine kernel parameters of RVM. Moreover, the ensemble empirical mode decomposition (EEMD) is applied to preprocess the raw vibration signals to eliminate the influence caused by noise and other unrelated signals. The distance evaluation technique (DET) is employed to select dominant features as input of the ACO-RVM, so that the redundancy and inference in a large amount of features can be removed. Two gearboxes are used to demonstrate the performance of the proposed method. The experimental results show that the ACO-RVM has higher fault detection accuracy than the RVM with normal the cross-validation (CV).
Clonal expansion of human T lymphocytes initiated by dendritic cells

The accessory cell requirements for cloning T cells in the presence of lectin and T cell growth factors were examined with cells from human peripheral blood. We found that dendritic cells were active and perhaps essential. Single CD4+ lymphocytes could be cloned with 80% efficiency, and CD8+ cells with 50-60% efficiency if 10(3) syngeneic or allogeneic dendritic cells were added. Some T cell clones developed even with one dendritic cell. Monocytes or B lymphocytes from blood were at least 100- fold weaker in supporting clonal growth. These findings suggest a specialized feeder cell requirement, namely dendritic cells, for cloning T lymphocytes from single resting precursors.
Black Soldier Fly Oil in Different Lipid Diets Could Regulate Tissue Lipid Metabolism and Fatty Acid Composition of Juvenile Mirror Carp

In the present study, our aim was to assess the effect of dietary black soldier fly oil (BSFO) with different lipid contents on the growth performance, body composition, lipid metabolism, and related gene expression in juvenile mirror carp (Cyprinus carpio var. specularis). An 8-week feeding trial was conducted using four isonitrogenous diets (32.0% crude protein) containing two lipid levels: 6% (control (CT) group) and 9% (high lipid (HL) group), both using soybean oil as the oil source. The other two diets contained BSFO on the basis of 6% and 9% lipid, referred to as (CT + BSFO) and (HL + BSFO) groups. The results showed that final body weight, weight gain rate, specific growth rate, protein retention ratio, and feed utilization were significantly increased by using higher dietary lipid levels (P<0.05). Additionally, the gene expression of lipid synthesis markers was significantly up-regulated in intra-peritoneal fat but significantly down-regulated in the hepatopancreas due to increased dietary lipid level (P<0.05). No negative effects on feed utilization or growth performance were observed in fish fed diets containing BSFO. However, the intra-peritoneal fat index, adipocyte size, and hepatopancreas lipid content were significantly decreased in the CT + BSFO group compared to the CT group (P<0.05). Furthermore, BSFO also up-regulated the expression of lipid lipolysis markers in the hepatopancreas and intra-peritoneal fat (P<0.05). Moreover, the use of BSFO also increased the content of n-3 polyunsaturated fatty acid (PUFA) while reducing the content of n-6 PUFA in the muscle (P<0.05). In conclusion, HL diets improved the growth of the fish and increased the lipid deposition. BSFO in the diet resulted in a reduction of lipid deposition in the hepatopancreas and intra-peritoneal fat, likely due to an increase in lipid oxidation.
Expression of Fos-protein activated by tactile stimulation on the laryngeal vestibulum in the cat's lower brain stem

Abstract To demonstrate morphologically the neurons participating in the4aryngeal reflex, Fos-expression, activated with tactile stimulation of the laryngeal vestibulum, was mapped in the cat's lower brain stem utilizing immunohistochemistry. In the stimulation group, many Fos-immunoreactive (ir) neurons were recognized in the nucleus tractus solitarii (NTS) from the level of the most rostral portion of the dorsal motor nucleus of the vagus to the level of the most caudal portion of the inferior olivary nucleus (IO), and in the nucleus ambiguus (NA) from the level of the rostral end of the hypoglossal nucleus to the level of the caudal end of the IO, bilaterally. While some Fos-ir cells were found in the spinal nucleus of the trigeminus, they were also found in the reticular nuclei bilaterally. In the control group, Fos-ir cells were distinctly fewer in number than those in the stimulation group. The results suggested that in the brain stem, the laryngeal reflex pathways have more than two synaptic relays through the interneurons in between the NTS and the NA.
Prevalence of Metabolic Syndrome in an Adult Urban Population of the West of Iran

Objectives. We determine the prevalence of the metabolic syndrome in an urban population of Zanjan, a province located to the west of Tehran. Methods. Randomly selected adults >20 years were studied using stratified sampling. Target study sample was 2941 (1396 males and 1545 females). Metabolic syndrome was diagnosed using Adult Treatment Panel-III (ATP-III) guidelines when any three of the following were present: central obesity, raised triglycerides ≥150 mg/dl, low high-density lipoprotein (HDL) cholesterol, blood pressure ≥ 130/ ≥ 85 mm Hg, and diabetes or fasting plasma glucose (FPG) ≥ 100 mg/dl. Results. Metabolic syndrome was present in 697 (23.7%) subjects (CI 95%:22%–25%, P = .001), prevalence was 23.1% in men and 24.4% in women (P : .4). The prevalence increased from 7.5% in the population younger than 30 y to 45.6% in ages more than 50 years. Low HDL was the most common metabolic abnormality in both sexes. Most of those with metabolic syndrome had three components of the syndrome (75.6%), 170 subjects (24.4%) had four and none had five components simultaneously. The prevalence of obesity (BMI ≥ 30 kg/m2), hypercholesterolemia (≥200 mg/dl) and high LDL cholesterol (≥130 mg/dl) was greater in the metabolic syndrome group than normal subjects (P = .00). Conclusions. There is a high prevalence of metabolic syndrome in this urban population of the northern west of Iran. Focus of cardiovascular prevention should be undertaken in this area.
G-Band FMCW Doppler Radar for Close-Range Environmental Sensing

Radar systems operating within the 220 GHz atmospheric transmission window are comparatively rare despite the benefits they offer in high angular, range, and Doppler resolutions. Given the growing availability of solid-state signal generation components designed for this frequency range, interest in the sensing potential of this region is increasing. This paper presents the development and characterization of ‘Theseus’, a 207 GHz FMCW Doppler radar designed for sea clutter and marine target characterization but also capable of a large variety of other close-range environmental sensing uses. The radar carrier frequency is tunable between 200-208 GHz with a maximum chirp bandwidth of 2 GHz resulting in a range resolution of 7.5 cm, and a chirp repetition interval (CRI) of <inline-formula> <tex-math notation="LaTeX">$67.59~\mu \text{s}$ </tex-math></inline-formula> giving a maximum unambiguous velocity of <inline-formula> <tex-math notation="LaTeX">$\mathbf {\pm {}5.36}$ </tex-math></inline-formula> ms<inline-formula> <tex-math notation="LaTeX">$^{-1}$ </tex-math></inline-formula>. Several measurement application examples are presented, showcasing a wealth of micro-Doppler and micro-range information gathered from a variety of targets and clutter including sea clutter, humans swimming and running, UAV flight, a plan position indicator (PPI) scan of a terrestrial environment, and rain clutter. Data in this frequency band are very rare in the open literature, and thus the high range and Doppler resolution measurement capabilities of this radar present an opportunity to expand the knowledge in this area.
A Heuristic Algorithm Based on Ant Colony Optimization for Multi-objective Routing in Vehicle Ad Hoc Networks

Vehicle Ad hoc Network (VANET) provides an opportunity for innovation in the transportation area, enabling services for Intelligent Transportation System (ITS). Because of VANET features, such as highly dynamic networks topology and frequent discontinuity, it is desirable to establish, at a given moment, routes for fast delivery of messages, having a low probability of disconnection. This leads to a multiobjective problem. In this work we propose multiobjective heuristic algorithm, based on ACO (Ant Colony Optimization) to find routes considering the best commitment between the shortest path (number of nodes in a route) and the lowest probability of disconnection. Simulations were done with three different scenarios: static routing, static routing with obstacles, and dynamic routing. Results were very promising, obtained with small computational effort, and allowing the use of the algorithm for real-time optimization.
Leading Educational Change: reflections on the practice of instructional and transformational leadership

Over the past two decades, debate over the most suitable leadership role for principals has been dominated by two conceptual models: instructional leadership and transformational leadership. This article reviews the conceptual and empirical development of these two leadership models. The author concludes that the suitability or effectiveness of a particular leadership model is linked to factors in the external environment and the local context of a school. Moreover, the paper argues that the definitions of the two models are also evolving in response to the changing needs of schools in the context of global educational reforms.
Optimal phase control for joint transmission and reception with beamforming

In this paper, we propose a joint transmission and reception with phase control for beamforming in a multi-cell environment. For generated transmit weight vectors of multiple base stations (BSs), a mobile station (MS) calculates phases to maximize an achievable rate with low rate feedback. By using the phases, the multiple transmit weight vectors are coordinated to improve the signal to noise ratio (SNR). In order to find optimal phases, we present a phase control method for the effective channel via geometrical approach.
Flexible verification of user-defined semantic constraints in modelling tools

Many modelling tools embed verification rules that are checked against user-defined models to ensure they satisfy the static semantic constraints of the modelling language. However, there are many other contexts where required constraints vary with the intended purpose of the model, and not just the modelling language used. In this paper, we propose a flexible and practical approach for users to define, select, store, group, exchange, enable, and verify custom semantic constraints on metamodels with the Object Constraint Language. We illustrate the benefits of this approach with extensions to an Eclipse-based modelling tool, called jUCMNav, and applications to various contexts such as style compliance, analysis, and transformations that involve chains of tools. We believe this approach to be easily adaptable to other Eclipse-based modelling tools, which could then enjoy similar benefits.
[POSTER] Semantic Augmented Reality Environment with Material-Aware Physical Interactions

In Augmented Reality (AR) environment, realistic interactions between the virtual and real objects play a crucial role in user experience. Much of recent advances in AR has been largely focused on developing geometry-aware environment, but little has been done in dealing with interactions at the semantic level. High-level scene understanding and semantic descriptions in AR would allow effective design of complex applications and enhanced user experience. In this paper, we present a novel approach and a prototype system that enables the deeper understanding of semantic properties of the real world environment, so that realistic physical interactions between the real and the virtual objects can be generated. A material-aware AR environment has been created based on the deep material learning using a fully convolutional network (FCN). The state-of-the-art dense Simultaneous Localisation and Mapping (SLAM) has been used for the semantic mapping. Together with efficient accelerated 3D ray casting, natural and realistic physical interactions are generated for interactive AR games. Our approach has significant impact on the future development of advanced AR systems and applications.
Hyperglycemia exacerbates brain edema and perihematomal cell death after intracerebral hemorrhage.

BACKGROUND AND PURPOSE Hyperglycemia has a deleterious effect on brain ischemia. However, the effect of hyperglycemia in intracerebral hemorrhage (ICH) is not well known. We investigated the effect of hyperglycemia on the development of brain edema and perihematomal cell death in ICH. METHODS Hyperglycemia was induced by intraperitoneal injection of streptozotocin (60 mg/kg) in adult Sprague-Dawley male rats. ICH was induced by stereotaxic infusion of 0.23 U of collagenase into the left striatum. Seventy-two hours after ICH, terminal deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling (TUNEL) staining was performed for perihematomal cell death. We also measured brain water content to evaluate edema formation. RESULTS The serum glucose level of the hyperglycemic group was 394.0+/-180.3 mg/dL (n=31), and that of the normoglycemic group was 97.5+/-27.4 mg/dL (n=31). The size of hemorrhage was similar between groups, without any significant difference (n=8 in each group). The brain water content of hyperglycemic rats (n=17) increased in both lesioned (81.0+/-0.5%) and nonlesioned hemispheres (78.7+/-0.6%) compared with the normoglycemic group (n=17; lesioned: 78.9+/-0.8%; nonlesioned: 77.3+/-1.1%). In the hyperglycemic group, more TUNEL-positive cells were found in the perihematomal regions (n=6). CONCLUSIONS Hyperglycemia caused more profound brain edema and perihematomal cell death in experimental ICH.
Network coding: an instant primer

Network coding is a new research area that may have interesting applications in practical networking systems. With network coding, intermediate nodes may send out packets that are linear combinations of previously received information. There are two main benefits of this approach: potential throughput improvements and a high degree of robustness. Robustness translates into loss resilience and facilitates the design of simple distributed algorithms that perform well, even if decisions are based only on partial information. This paper is an instant primer on network coding: we explain what network coding does and how it does it. We also discuss the implications of theoretical results on network coding for realistic settings and show how network coding can be used in practice
Fine grain analysis of simulators accuracy for calibrating performance models

In embedded system design, the tuning and validation of a cycle accurate simulator is a difficult task. The designer has to assure that the estimation error of the simulator meets the design constraints on every application. If an application is not correctly estimated, the designer has to identify on which parts of the application the simulator introduces an estimation error and consequently fix the simulator. However, detecting which are the mispredicted parts of a very large application can be a difficult process which requires a lot of time. In this paper we propose a methodology which helps the designer to fast and automatically isolate the portions of the application mispredicted by a simulator. This is accomplished by recursively analyzing the application source code trace highlighting the mispredicted sections of source code. The results obtained applying the methodology to the TSIM simulator show how our methodology is able to fast analyze large applications isolating small portions of mispredicted code.
Hourly station‐based precipitation characteristics over the Tibetan Plateau

Based on precipitation data collected from 100 surface stations on the Tibetan Plateau, the summer climatology of the hourly characteristics of precipitation events, including hourly frequency and intensity, frequency–intensity structure, diurnal circle, and duration, was comprehensively analysed. Both hourly frequency and intensity are high (low) over the southeastern (western and northern) plateau. In the Yurlung Zangbo River valley, which is located on the central southern plateau, the precipitation frequency is low and the intensity is high. The proportion of strong (weak) precipitation, in terms of frequency, is relatively large (small) in this valley, and similar features with respect to the frequency–intensity structure were also found for the northeastern plateau. In contrast, precipitation over the southern edge of the plateau is characterized by high frequency and low intensity, and the percentage of weak precipitation hours is higher than in other regions. Most stations over the plateau exhibit precipitation peaks either in late afternoon or around midnight. The late afternoon (midnight) peak is mainly contributed to by precipitation events that are short (long) in duration. These ‘short‐afternoon’ and long‐nighttime' types constitute the two major modes of precipitation over the plateau. Extreme events tend to begin in late afternoon, reach a maximum around midnight, and stop in the morning. The possible mechanisms are discussed. The quantity of available water vapour determines the geographical distribution of precipitation frequency through modulating the duration of precipitation events. High‐intensity events are related to well‐organized convective systems. The ratio of short‐afternoon and long‐nighttime precipitation is significantly influenced by local topography.
Secure Localization of Nodes in Wireless Sensor Networks with Limited Number of Truth Tellers

We provide in this paper three algorithms that enable the sensor nodes of a Wireless Sensor Network (WSN) to determine their location in presence of neighbor sensors that may lie about their position. Our algorithms minimize the number of trusted nodes required by regular nodes to complete their process of localization. The algorithms always work for a given number of neighbors provided that the number of liars is below a certain threshold value, which is also determined.