Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of Medium Composition for the Production of Neomycin by Streptomyces fradiae NCIM 2418 in Solid State Fermentation

Neomycin production of Streptomyces fradiae NCIM 2418 was optimized by using response surface methodology (RSM), which is powerful mathematical approach comprehensively applied in the optimization of solid state fermentation processes. In the first step of optimization, with Placket-Burman design, ammonium chloride, sodium nitrate, L-histidine, and ammonium nitrate were established to be the crucial nutritional factors affecting neomycin production significantly. In the second step, a 24 full factorial central composite design and RSM were applied to determine the optimal concentration of significant variable. A second-order polynomial was determined by the multiple regression analysis of the experimental data. The optimum values for the important nutrients for the maximum were obtained as follows: ammonium chloride 2.00%, sodium nitrate 1.50%, L-histidine 0.250%, and ammonium nitrate 0.250% with a predicted value of maximum neomycin production of 20,000 g kg−1 dry coconut oil cake. Under the optimal condition, the practical neomycin production was 19,642 g kg−1 dry coconut oil cake. The determination coefficient (R 2) was 0.9232, which ensures an acceptable admissibility of the model.
Preliminary validation of the Test of Object Relations in a sample of Croatian students

Greenberg and Mitchell (1983) wrote that the term “object relations” refers to the individual’s relations with other people, the individual’s relations with internal object representations, as well as the interaction between the internal object world and the external object reality. The theory of object relations is not a uniform theory − it consists of contributions from different authors who developed their own theoretical models, sometimes quite independently from other authors. The Test of Object Relations (TOR; Žvelc, 1998, 2007, 2008, 2010a, 2010b) measures the quality of object relations in adulthood. The test was created on the basis of Loevinger’s (1957) model of test construction and Jackson’s (Jackson, 1970, 1971) sequential system of construction. Test construction and validation according to Loevinger’s Preliminary validation of the Test of Object Relations in a sample of Croatian students
Energetic cost of brain functional connectivity

The brain's functional connectivity is complex, has high energetic cost, and requires efficient use of glucose, the brain's main energy source. It has been proposed that regions with a high degree of functional connectivity are energy efficient and can minimize consumption of glucose. However, the relationship between functional connectivity and energy consumption in the brain is poorly understood. To address this neglect, here we propose a simple model for the energy demands of brain functional connectivity, which we tested with positron emission tomography and MRI in 54 healthy volunteers at rest. Higher glucose metabolism was associated with proportionally larger MRI signal amplitudes, and a higher degree of connectivity was associated with nonlinear increases in metabolism, supporting our hypothesis for the energy efficiency of the connectivity hubs. Basal metabolism (in the absence of connectivity) accounted for 30% of brain glucose utilization, which suggests that the spontaneous brain activity accounts for 70% of the energy consumed by the brain. The energy efficiency of the connectivity hubs was higher for ventral precuneus, cerebellum, and subcortical hubs than for cortical hubs. The higher energy demands of brain communication that hinges upon higher connectivity could render brain hubs more vulnerable to deficits in energy delivery or utilization and help explain their sensitivity to neurodegenerative conditions, such as Alzheimer’s disease.
3DTextureNet: Neural 3D Texture Style Transfer

In our increasingly digital world, there’s a growing demand for 3D models in various fields. Manual 3D model creation is time-consuming and prone to errors, highlighting the need for automation. In this work, we propose a 3D texture transfer framework, 3DTextureNet, to transfer 3D texture from style to content 3D objects, enabling the generation of a wide range of stylized 3D models. We analyze the effects of multiple model hyperparameters on 3D texture transfer. To evaluate the proposed 3D texture transfer framework, we conduct a user study with 3D designers. Our evaluation results demonstrate that our approach effectively transfers 3D texture from style to content objects and the stylized outputs aid in designers’ creativity.
Long non-coding RNA HULC as a novel serum biomarker for diagnosis and prognosis prediction of gastric cancer

Long non-coding RNAs (lncRNAs) have recently emerged as vital players in tumor biology with potential value in cancer diagnosis, prognosis, and therapeutics. The lncRNA HULC (highly up-regulated in liver cancer) is increased in many malignancies, yet its serum expression profile and clinical value in gastric cancer (GC) patients remain unclear. Quantitative real-time polymerase chain reaction (RT-qPCR) for large-scale analysis of the serum expression of HULC in GC patients reliably detected circulating HULC and revealed that it is upregulated in GC patients. A high serum HULC level correlated with tumor size, lymph node metastasis, distant metastasis, tumor-node-metastasis stage, and H. pylori infection. The area under the ROC curve for HULC was up to 0.888, which was higher than that for CEA (0.694) and CA72-4 (0.514). Follow-up detection and Kaplan-Meier curve analysis revealed HULC is a good predictor of GC prognosis. Our present study indicates that circulating HULC may represent a novel serum tumor marker for early diagnosis and monitoring progression and prognosis of GC.
The Polygon Exploration Problem

We present an on-line strategy that enables a mobile robot with vision to explore an unknown simple polygon. We prove that the resulting tour is less than 26.5 times as long as the shortest watchman tour that could be computed off-line. Our analysis is doubly founded on a novel geometric structure called angle hull. Let D be a connected region inside a simple polygon, P. We define the angle hull of D, ${\cal AH}(D)$, to be the set of all points in P that can see two points of D at a right angle. We show that the perimeter of ${\cal AH}(D)$ cannot exceed in length the perimeter of D by more than a factor of 2. This upper bound is tight.
Strategy-proof Location on a Network

We consider rules that choose a location on a graph (e.g. a network of roads) based on the report of agents' symmetric, single-peaked preferences over points on that graph. We show that while a strategy-poof, onto rule is not necessarily dictatorial, the existence of a cycle on the graph grants one agent a certain amount of decisive power. This result surprisingly characterizes the class of strategy-proof, onto rules both in terms of a certain subclass of such rules for trees and in terms of a parameterized set of generalized median voter schemes.
Exploring The Relationship Between Arabic Lettersا Characteristics and Their Dissonance

Letter dissonance is an undesirable phenomenon that scratches the eloquence of spoken text. Knowing the reasons for letter dissonance may be useful to evaluate eloquence of a given text. It may also help speakers to avoid letter dissonance in their speeches. In this paper, the relationship between Arabic letter characteristics and adjacent letter dissonance is explored. The followed approach is based on classifying Arabic letters into separate categories. Each category contains letters with the same characteristics. Then, the adjacency frequencies of these categories were computed in a text that is known to have no letter dissonance. These frequency values helped in identifying categories that show dissonance and hence find letter characteristics that are associated with letter dissonance. Using a Boolean algebraic approach, the set of letter characteristics that cause dissonance is identified through simplification. One main result of this research is that letters with different characteristics show different dissonance behavior which supports the theory saying that letter dissonance is related to the characteristics of the adjacent letters. Another result is that not all letter characteristics cause dissonance. It was found that the main characteristic that is associated with dissonance is the upperness characteristic.
Sensor data forwarding strategies for state estimation in multi-hop wireless networks

State estimation is of great importance in various applications based on wireless networked control systems. Since the wireless sensor nodes are typically equipped with power-limited battery, they are only able to emit relatively low-power signal which constrains the reliable communication distance between the transmitter and the receiver. One effective way to tackle such situation is to forward the transmitted packet through relay nodes. In this paper, we investigate the data forwarding strategy design for accurate remote state estimation in multi-hop wireless networks. Based on the computational capability of relay nodes, we first propose two relay strategies, namely, Direct Forwarding Strategy (DFS) and Local Processing and Forwarding Strategy (LFS). Necessary and sufficient conditions of estimation stability are derived for these two strategies respectively. We also prove that LFS is always better than DFS in terms of estimation accuracy at the expense of more energy consumption. We further propose an Event-triggered Forwarding Strategy (EFS) which is able to balance the estimation accuracy and relay energy consumption. Numerical examples are employed to demonstrate the effectiveness of our design.
Vascular Endothelial Growth Factor (VEGF) and Platelet (PF-4) Factor 4 Inputs Modulate Human Microvascular Endothelial Signaling in a Three-Dimensional Matrix Migration Context*

The process of angiogenesis is under complex regulation in adult organisms, particularly as it often occurs in an inflammatory post-wound environment. As such, there are many impacting factors that will regulate the generation of new blood vessels which include not only pro-angiogenic growth factors such as vascular endothelial growth factor, but also angiostatic factors. During initial postwound hemostasis, a large initial bolus of platelet factor 4 is released into localized areas of damage before progression of wound healing toward tissue homeostasis. Because of its early presence and high concentration, the angiostatic chemokine platelet factor 4, which can induce endothelial anoikis, can strongly affect angiogenesis. In our work, we explored signaling crosstalk interactions between vascular endothelial growth factor and platelet factor 4 using phosphotyrosine-enriched mass spectrometry methods on human dermal microvascular endothelial cells cultured under conditions facilitating migratory sprouting into collagen gel matrices. We developed new methods to enable mass spectrometry-based phosphorylation analysis of primary cells cultured on collagen gels, and quantified signaling pathways over the first 48 h of treatment with vascular endothelial growth factor in the presence or absence of platelet factor 4. By observing early and late signaling dynamics in tandem with correlation network modeling, we found that platelet factor 4 has significant crosstalk with vascular endothelial growth factor by modulating cell migration and polarization pathways, centered around P38α MAPK, Src family kinases Fyn and Lyn, along with FAK. Interestingly, we found EphA2 correlational topology to strongly involve key migration-related signaling nodes after introduction of platelet factor 4, indicating an influence of the angiostatic factor on this ambiguous but generally angiogenic signal in this complex environment.
A Rethinking of the Production Approach in IPCC: Its Objectiveness in China

The trade of harvested wood products (HWPs) and their feedstock increasingly affects the dynamics of the complete national HWP carbon pool ignored by the Production Approach (PA), the current universal method, proposed by the Intergovernmental Panel on Climate Change. Existing research also overlooks the inherent factors that lead to the non-objectiveness of PA that affects the potential carbon trade and the sustainable use of forestry resources. This study aimed to investigate such inherent factors through a deductive derivation of PA and the Stock-Change Approach (SCA), based on which an empirical study on China was conducted to rethink the objectiveness of PA in the complete national HWP carbon pool. The deductive derivation indicated that the inherent factors rely on the balance between coefficients that describe the relationship between HWP trade and production and the relationship between the corresponding feedstock trade and production. The empirical study further illustrated that the dynamics of balance between coefficients negatively influence the objectiveness of PA. The absolute objectiveness of this approach was constantly weakened in the past 55 years and may potentially occur yet again in the future despite an improvement in its annual relative objectiveness.
Risk factors for thirty-day morbidity and mortality following knee arthroscopy: a review of 12,271 patients from the national surgical quality improvement program database.

BACKGROUND Knee arthroscopy is among the most common orthopaedic surgical procedures. However, the incidence and risk factors for postsurgical morbidity and mortality remain poorly defined. METHODS The American College of Surgeons National Surgical Quality Improvement Program prospectively collects thirty-day morbidity and mortality data from more than 258 hospitals around the United States. We used Current Procedural Terminology codes to retrospectively query the database and identified 12,271 cases of elective knee arthroscopy performed from January 1, 2005, to December 31, 2010. Postoperative complications were divided into categories of minor morbidity, major morbidity or mortality, or any complication. The potential risk factors for complications were analyzed with use of univariate and multivariate analyses. RESULTS The overall incidence of any complication was 1.6% (199 patients). The major morbidity was 0.76% (ninety-three patients), which included one patient death (0.008%), and the minor morbidity was 0.86% (106 patients). The most frequent major complication was a return to the operating room. The most common minor complication was deep venous thrombosis or thrombophlebitis. The risk factors identified in the univariate analysis for any complication included black race, prior operation within thirty days, American Society of Anesthesiologists class, and operative time of >1.5 hours as compared with ≤1.5 hours (p < 0.05 for each). The independent risk factors identified in the multivariate analysis for any complication included black race (odds ratio, 1.81 [95% confidence interval, 1.13 to 2.89]), prior operation within thirty days (odds ratio, 6.33 [95% confidence interval, 1.45 to 27.66]), operative time of >1.5 hours (odds ratio, 1.84 [95% confidence interval, 1.21 to 2.78]), and age of forty to sixty-five years (odds ratio, 1.46 [95% confidence interval, 1.01 to 2.11]). CONCLUSIONS The incidence of complication following elective knee arthroscopy is low. The data presented here should be useful for providing prognostic information to patients during informed consent. Surgeons should be encouraged to minimize operative time whenever possible, and may wish to delay elective arthroscopy in patients who have had other recent surgical procedures.
Medium access control issues in sensor networks

Medium access control for wireless sensor networks has been a very active research area for the past couple of years. The sensor networks literature presents an alphabet soup of medium access control protocols with almost all of the works focusing only on energy efficiency. There is much more innovative work to be done at the MAC layer, but current efforts are not addressing the hard unsolved problems. Majority of the works appearing in the literature are "least publishable incremental improvements" over the popular S-MAC [1] protocol. In this paper we present research directions for future medium access research. We identify some open issues and discuss possible solutions.
Studies on Augmented Data and Time Performance to Approach Crack Detection in Concrete

While Convolutional Neural Networks are generally considered efficient structures for image processing, that task has been shown to be non-trivial in cases of datasets of imbalanced and low-quality images. Here, it is not only significant to train an algorithm towards a high accuracy enough, but also to do that in a limited amount of time. This can be understood from that low-quality datasets may require several experiments on representations of hyperparameters for an efficient network. Such experiments may be costly, not only generally in terms of time, but also in terms of payments for cloud services as a development platform. This contribution builds upon previous investigations that showed promising techniques for attacking a problem with images of cracks in bridge concrete. Results from that work is here further improved through data augmentation techniques where simply inverting images is proven to improve the performance of the network. Besides this, results will be presented regarding a prognostication of the time required to train the proposed Convolutional Neural Networks.
Methodology of Resonant Equiangular Composite Quantum Gates

The creation of composite quantum gates that implement quantum response functions $\hat{U}(\theta)$ dependent on some parameter of interest $\theta$ is often more of an art than a science. Through inspired design, a sequence of $L$ primitive gates also depending on $\theta$ can engineer a highly nontrivial $\hat{U}(\theta)$ that enables myriad precision metrology, spectroscopy, and control techniques. However, discovering new, useful examples of $\hat{U}(\theta)$ requires great intuition to perceive the possibilities, and often brute-force to find optimal implementations. We present a systematic and efficient methodology for composite gate design of arbitrary length, where phase-controlled primitive gates all rotating by $\theta$ act on a single spin. We fully characterize the realizable family of $\hat{U}(\theta)$, provide an efficient algorithm that decomposes a choice of $\hat{U}(\theta)$ into its shortest sequence of gates, and show how to efficiently choose an achievable $\hat{U}(\theta)$ that for fixed $L$, is an optimal approximation to objective functions on its quadratures. A strong connection is forged with \emph{classical} discrete-time signal processing, allowing us to swiftly construct, as examples, compensated gates with optimal bandwidth that implement arbitrary single spin rotations with sub-wavelength spatial selectivity.
Integrated Battery Energy Storage with Modular Multilevel Converter for Grid-Connected Photovoltaic System: Design and Control

Modular multilevel converters with integrated battery energy storage system (MMC-BESS) is proposed for voltage regulation in high-voltage applications and integration with renewable energy sources. Since balancing the voltage of the capacitors between the upper and lower arms of the converter and controlling the current in the rectifier mode for charging the battery are not possible by conventional control methods, a new control model is proposed in this paper. In the proposed control model, a block based on the model predictive control (MPC) is implemented to control the MMC side, and the improved state of charge (SOC) equalization is also used to control the battery side converter. Despite the excess power flowing on the battery side in MMC rectifier operation mode, the proposed controller can successfully control the AC grid and battery currents. In order to design the integrated MMC-BESS structure, full-bridge modules are used. The MMC-BESS structure and the proposed control model are simulated in MATLAB/Simulink, and the results are evaluated. The results confirm the superior performance of the proposed control model under the reference power variation and external load addition conditions on the grid side.
Targeting Platelet–Leukocyte Interactions

The firm adhesion and transplatelet migration of leukocytes on vascular thrombus are dependent on the interaction of the leukocyte integrin Mac-1 (αMβ2, CD11b/CD18) and the platelet counter receptor glycoprotein (GP) Ibα. Previous studies have established a central role for the I domain, a stretch of ∼200 amino acids within the αM subunit, in the binding of GP Ibα. This study was undertaken to establish the molecular basis of GP Ibα recognition by αMβ2. The P201–K217 sequence, which spans an exposed loop and amphipathic α4 helix in the three-dimensional structure of the αMI domain, was identified as the binding site for GP Ibα. Mutant cell lines in which the αMI domain segments P201–G207 and R208–K217 were switched to the homologous, but non-GP Ibα binding, αL domain segments failed to support adhesion to GP Ibα. Mutation of amino acid residues within P201–K217, H210–A212, T213–I215, and R216–K217 resulted in the loss of the binding function of the recombinant αMI domains to GP Ibα. Synthetic peptides duplicating the P201–K217, but not scrambled versions, directly bound GP Ibα and inhibited αMβ2-dependent adhesion to GP Ibα and adherent platelets. Finally, grafting critical amino acids within the P201–K217 sequence onto αL, converted αLβ2 into a GP Ibα binding integrin. Thus, the P201–K217 sequence within the αMI domain is necessary and sufficient for GP Ibα binding. These observations provide a molecular target for disrupting leukocyte–platelet complexes that promote vascular inflammation in thrombosis, atherosclerosis, and angioplasty-related restenosis.
Thermal Biology, Torpor, and Activity in Free‐Living Mulgaras in Arid Zone Australia during the Winter Reproductive Season

Little is known about the energy conservation strategies of free‐ranging marsupials living in resource‐poor Australian deserts. We studied activity patterns and torpor of free‐living mulgaras (Dasycercus blythi) in arid central Australia during the winter of 2006. Mulgaras are small (∼75 g), nocturnal, insectivorous marsupials, with a patchy distribution in hummock grasslands. Mulgaras (six males, three females) were implanted intraperitoneally with temperature‐sensitive transmitters and monitored for 6–55 d. Temperature profiles for different microhabitats and the thermal properties of soil and a number of burrows were also measured. Air temperature ranged from −3°C at night to 30°C during the day. Although burrows buffered temperature extremes, the thermal diffusivity of the sandy soil was high, and many burrows were shallow. Hence, soil and burrow temperatures averaged about 15°C. The activity of mulgaras was often restricted to a few hours after sunset, before they retired into their burrows. Mulgaras employed torpor frequently, often entering torpor during the night and arousing around midday, with arousals occurring later on cooler days. Shallow burrows allowed cooling below mean Tsoil. Consequently, body temperatures as low as 10.8°C were observed. The longest torpor bout was 20.8 h. Torpor patterns changed seasonally and differed between males and females. From June to August, females entered torpor almost daily despite mating and gestation, but from the end of the gestation period onward, they remained normothermic. In contrast, males showed only shallow and short torpor during the mating season, but from mid‐July, a transition to more frequent and deeper torpor resembling that of females was observed. Apparently, in both sexes, the reproductive effort entails energetic costs, but torpor, as an energy‐saving mechanism, and reproduction are not exclusive in mulgaras. In a resource‐poor environment during the least productive part of the year, frequent torpor seems to provide the means to compensate for the increased energetic costs associated with reproduction.