Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-Objective Optimal DG Placement Approach Using Analytical Hierarchy Process

Abstract Distributed generation (DG) has been increasingly integrated into distribution systems in the last decade. The selection of the optimal location and capacity of these DGs is an important issue. This selection is based on minimizing losses, reducing emissions, reducing voltage deviation, and much more. This paper proposes a new optimization approach with a multi-objective function for maximizing DG capacities and minimizing both system losses and voltage deviation, which are subject to system constraints. The weight of each attribute of the multi-objective function is estimated using the analytical hierarchical process (AHP). The optimal DG size is calculated for all possible buses, and hence, the optimal bus can be located. Moreover, an algorithm is introduced to decrease the number of iterations when integrating more than one DG. The proposed method is an iterative linear programming method based on the familiar Newton-Raphson sensitivity matrix. The proposed approach has been tested on 69 and IEEE 33 bus systems. The simulation results are compared with previous literature results.
A theoretical evaluation of the impact of the type of reaction on heat production and material losses in biomass piles

Self‐heating during storage of biomass in piles causes material losses, leads to emissions to air, and poses a risk of fire. There are different techniques to assess a biomass material's propensity for self‐heating, some of these are briefly reviewed. One of these techniques is isothermal calorimetry, which measures thermal power from materials and produces time‐resolved curves. A recently developed and published test standard, ISO 20049‐1:2020, describes how the self‐heating of pelletized biofuels can be determined by means of isothermal calorimetry and how thermal power and the total heat produced during the test should be measured by isothermal calorimetry. This paper supports interpretation of the result obtained by isothermal calorimetry; the mentioned standard provides examples of peak thermal power and total heat but does not provide any assistance on how the result from isothermal measurements should be interpreted or how the result from measurements on different samples could be compared. This paper addresses the impact of different types of reactions, peak thermal power, total heat released (heat of reaction), activation energy, heat conductivity, and pile size on the temperature development in a generic pile of biomass. This paper addresses important parameters when the result from isothermal calorimetry is evaluated. The most important parameter, with respect to temperature development in large piles, was found to be the total heat released. It was also proposed that safe storage times, that is, the time until a run‐away of the temperature in the pile, could be ranked based on the time to the peak thermal power.
A Comparison of Right-Moving Supercell and Quasi-Linear Convective System Tornadoes in the contiguous United States 2003–2021

Tornadoes produced by right-moving supercells (RM) and quasi-linear convective systems (QLCS) are compared across the contiguous United States for the period 2003–2021, based on the maximum F/EF-scale rating per hour on a 40-km horizontal grid. The frequency of QLCS tornadoes has increased dramatically since 2003 while the frequency of RM tornadoes has decreased during that same period. Prior work noting that the most common damage rating for QLCS tornadoes at night is EF1 persists in this larger, independent sample. A comparison of WSR-88D radar attributes between RM and QLCS tornadoes shows no appreciable differences between EF0 tornadoes produced by either convective mode. Differences become apparent for EF1–2 tornadoes, where rotational velocity is larger and velocity couplet diameter is smaller for RM tornadoes compared to QLCS tornadoes. The frequency of tornadic debris signatures (TDS) in dual polarization data is also larger for EF1–2 RM tornadoes when controlling for tornadoes sampled relatively close to the radar sites, and during daylight versus overnight. The weaker rotational velocities, broader velocity couplet diameters, and lower frequencies of TDSs both close to the radar and at night for QLCS EF1 tornadoes suggest that a combination of inadequate radar sampling and occasional misclassification of wind damage may be responsible for the irregularities in the historical record of QLCS tornado reports.
Further increase of the critical current density of MgB2 tapes with nanocarbon-doped mechanically alloyed precursor

The combination of nanocarbon-doped nanosized MgB2 precursor powder with an inert metallic sheath of appropriate hardness gives the possibility to obtain tapes with significantly improved critical current densities at high magnetic fields. In parallel field, Jc-values of 104 A cm−2 at 16.4 T (4.2 K) and 5.6 T (20 K) could be measured.
Dispersion Performances of Naphthalimides Doped in Dual Temperature- and pH-Sensitive Poly (N-Isopropylacrylamide-co-acrylic Acid) Shell Assembled with Vinyl-Modified Mesoporous SiO2 Core for Fluorescence Cell Imaging

Developing effective intelligent nanocarriers is highly desirable for fluorescence imaging and therapeutic applications but remains challenging. Using a vinyl-grafted BMMs (bimodal mesoporous SiO2 materials) as a core and PAN ((2-aminoethyl)-6-(dimethylamino)-1H-benzo[de]isoquinoline-1,3(2H)-dione))-dispersed dual pH/thermal-sensitive poly(N-isopropylacrylamide-co-acrylic acid) as a shell, PAN@BMMs with strong fluorescence and good dispersibility were prepared. Their mesoporous features and physicochemical properties were extensively characterized via XRD patterns, N2 adsorption–desorption analysis, SEM/TEM images, TGA profiles, and FT-IR spectra. In particular, their mass fractal dimension (dm) features based on SAXS patterns combined with fluorescence spectra were successfully obtained to evaluate the uniformity of the fluorescence dispersions, showing that the dm values increased from 2.49 to 2.70 with an increase of the AN-additive amount from 0.05 to 1%, along with the red shifting of their fluorescent emission wavelength from 471 to 488 nm. The composite (PAN@BMMs-I-0.1) presented a densification trend and a slight decrease in peak (490 nm) intensity during the shrinking process. Its fluorescent decay profiles confirmed two fluorescence lifetimes of 3.59 and 10.62 ns. The low cytotoxicity obtained via in vitro cell survival assay and the efficient green imaging performed via HeLa cell internalization suggested that the smart PAN@BMM composites are potential carriers for in vivo imaging and therapy.
New concepts in transverse field magnet design

The National High Magnetic Field Laboratory (NHMFL) in Tallahassee, Florida, USA, continues research and development of transverse field magnets (with the field perpendicular to the access tube). Presently, the emphasis is on a novel approach with concentric nested coils tilted at an angle to the central axis; current flows in opposite directions within the coils at opposite tilt angle, generating a transverse dipole field. Superconducting tilted coils using wire-wound technology and resistive tilted coils using advanced technology are being examined. Some very preliminary, conceptual designs and magnetic field calculations are presented. Related problems, including behavior under the Lorentz forces are discussed briefly.
Comparison of Laparoscopy and Laparotomy in the Management of Early-stage Ovarian Cancer

Objectives: The objective of this study was to assess the feasibility of minimally invasive surgery for early-stage ovarian cancer (EOC) by comparing the surgical and survival outcomes between laparoscopy and laparotomy. Materials and Methods: This was a retrospective, single-center observational study that included all patients who underwent surgical staging for EOC by laparoscopy or laparotomy between 2010 and 2019. Results: Forty-nine patients were included; of which 20 underwent laparoscopy, 26 laparotomy, and three conversion from laparoscopy to laparotomy. No significant differences were observed between the two groups regarding operative time, number of lymph nodes dissected, or intraoperative tumor rupture rate, while estimated blood loss and transfusion requirements were lower in the laparoscopy group. The complication rate tended to be higher in the laparotomy group. Patients in the laparoscopy group had a faster recovery, with earlier urinary catheter and abdominal drain removal, shorter hospital stay, and a trend toward earlier tolerance of oral diet and mobilization. At a mean follow-up of 45.7 months, 14 patients had disease recurrence, with no differences in the mean progression-free survival between the two groups (36 months for laparoscopy vs. 35.5 months for laparotomy, P = 0.22). Conclusion: Laparoscopic surgery performed by a trained gynecological oncologist is a safe and effective surgical approach for comprehensive staging of EOC, with the additional benefits of a faster recovery compared to laparotomy.
Robust Optimization of Portfolio's Value at Risk (VaR) by Using Random Uncertainty Series

This study is conducted with the aim of robust optimization of value at risk (VaR) of portfolio by using random interval uncertainty series. Therefore, the present study is an applied study in terms of research method. Statistical population of this study is consisted of companies active in Tehran Stock Exchange during the time frame of 2005 to 2014, which have been selected by using Elimination method. Results of feedback test and calculation of value at risk related to portfolios during the examined time frame indicated that calculated value at risk by using daily returns is correct. The Genetic Algorithm used in this study is a Single-step algorithm and the used selection technique is Roulette wheel with 2000 generations and each generation is consisted of 20 individuals. Results indicated the existence of algorithm convergence. Also, testing algorithm’s stability indicated a small and insignificant difference between answers resulting from algorithm’s Iteration in multiple times. Results also indicated that application of robust optimization method improves portfolio performance in Real-world problems with uncertainty and that internal random series have a higher level of ability in modeling asymmetric uncertainties in financial fields.
Influence of fentanyl-based Patient-Controlled Intravenous Analgesia (PCIA) with and without background infusion on postoperative pain intensity in patients following total hip replacement

ABSTRACT Objective The goal of this trial was to determine if fentanyl PCIA and background infusion are effective for post-total hip replacement analgesia. Methods This trial examined two groups of patients receiving PCIA who had total hip replacements: group A (n = 35) with no background infusion, lockout time of 6 min; group B (n = 35) with background infusion 2 mL/h infusion, lockout time of 10 min. The fentanyl dose in each group was diluted with 100 mL normal saline. Primary outcome was VAS scores at rest after 24 hr. The secondary outcomes included VAS scores at rest at 6, 12, and 18 hr, fentanyl consumption, injection to attempt ratio, blood pressure, and heart rate. Results Neither background infusion nor no background infusion showed significant differences in VAS scores at 24 hr. Background infusion groups exhibited lower VAS pain levels at 6, 12, and 18 hr. At 24 hr after surgery, attempts, injections, and fentanyl consumption were significantly different between the two groups (P < 0.001). While BP and HR did not differ significantly between groups, pain control effectiveness showed statistically significant differences between groups. Conclusion Background infusion increased the overall quantity of fentanyl consumed within 24 hr after total hip replacement. The background infusion considerably decreased the pain at 6, 12, and 18 hr, but it had little effect on hip replacement pain at 24 hr. Importantly, it did not increase the incidence of BP, and HR. However, there were no significant differences in BP or HR between both groups, Fentanyl Background infusion was effective for post-total hip replacement analgesia.
Differential Impacts of Cropland Expansion on Soil Biological Indicators in Two Ecological Zones

Agricultural expansion in Sub-Saharan Africa is characterized by different farm ages in smallholder communities. This study investigated changes in microbial indices broadly (i) at the reconnaissance survey level in four agro-ecological zones and (ii) in different farms at the forest (Dompem) and forest–savanna transition (Adansam) zones, as influenced by the duration of cultivation. Soils from one-year (first cultivation of cleared forest/fallow), three-year, five-year, and ten-year farms were analyzed for basic soil properties, active or labile carbon (POXC), basal respiration (BR), microbial biomass (Cmic) using permanganate oxidizable C, alkali trap, and chloroform fumigation incubation. In both study levels, POXC content was <1% of soil organic carbon (SOC) in all zones, higher in the wet agro-ecological zones, and positively correlated with SOC (r = 0.70, 0.81; p < 0.01, p < 0.001). Dompem SOC and BR declined by 1–23% and 6–25% (p < 0.001), respectively, in the first three years; Cmic (p = 0.002) and %Cmic/SOC (p = 0.610) decreased from three-year farms onwards. Conversely, the Adansam SOC, BR, Cmic, and %Cmic/SOC rather had irregular trends. The microbial indices were influenced by exchangeable acidity, the sum of exchangeable bases, and effective cation exchangeable capacity negatively or positively, followed by SOC, pedogenic compounds, particularly dithionite-citrate iron (Fed), oxalate iron (Feox), and lastly, soil pH. Therefore, understanding the degree, direction, and changing aspects of these drivers of soil ecosystem services is necessary for sustainable soil management practices in different agro-ecological zones.
MncR: Late Integration Machine Learning Model for Classification of ncRNA Classes Using Sequence and Structural Encoding

Non-coding RNA (ncRNA) classes take over important housekeeping and regulatory functions and are quite heterogeneous in terms of length, sequence conservation and secondary structure. High-throughput sequencing reveals that the expressed novel ncRNAs and their classification are important to understand cell regulation and identify potential diagnostic and therapeutic biomarkers. To improve the classification of ncRNAs, we investigated different approaches of utilizing primary sequences and secondary structures as well as the late integration of both using machine learning models, including different neural network architectures. As input, we used the newest version of RNAcentral, focusing on six ncRNA classes, including lncRNA, rRNA, tRNA, miRNA, snRNA and snoRNA. The late integration of graph-encoded structural features and primary sequences in our MncR classifier achieved an overall accuracy of >97%, which could not be increased by more fine-grained subclassification. In comparison to the actual best-performing tool ncRDense, we had a minimal increase of 0.5% in all four overlapping ncRNA classes on a similar test set of sequences. In summary, MncR is not only more accurate than current ncRNA prediction tools but also allows the prediction of long ncRNA classes (lncRNAs, certain rRNAs) up to 12.000 nts and is trained on a more diverse ncRNA dataset retrieved from RNAcentral.
On Effects of Personality Traits on Travelers’ Heterogeneous Preferences: Insights from a Case Study in Urumqi, China

Personality is a psychological concept which reflects people’s characteristic patterns of thoughts, feelings, and behavior. In this sense, it is straightforward to state that people’s behavior is fundamentally affected by their personalities. However, the concept of personality is rarely considered in most travel behavior studies. Given this fact, this paper aims to investigate the effect of personality traits on travelers’ heterogeneous preferences in the context of air itinerary choice. To this end, travelers’ stated choices for air itinerary and information reflecting travelers’ personality traits were collected. After defining specific personality traits based on the collected data, a hybrid choice model with interaction effects between travelers’ personality traits/socio-demographic characteristics and alternative-specific attributes were established and estimated and next the contributions of personality traits and socio-demographic characteristics to travelers’ choice behavior were compared and analyzed. The results confirmed the effects of personality traits on travelers’ heterogeneous preferences. However, the results also revealed that the magnitudes of such effects are not as great as the effects of socio-demographic characteristics.
Inoculation with Actinobacteria spp. Isolated from a Hyper-Arid Environment Enhances Tolerance to Salinity in Lettuce Plants (Lactuca sativa L.)

Irrigated agriculture is responsible for a third of global agricultural production, but the overuse of water resources and intensification of farming practices threaten its sustainability. The use of saline water in irrigation has become an alternative in areas subjected to frequent drought, but this practice affects plant growth due to osmotic impact and excess of ions. Plant-growth-promoting rhizobacteria (PGPR) can mitigate the negative impacts of salinity and other abiotic factors on crop yields. Actinobacteria from the hyper-arid Atacama Desert could increase the plant tolerance to salinity, allowing their use as biofertilizers for lettuce crops using waters with high salt contents. In this work, rhizosphere samples of halophytic Metharme lanata were obtained from Atacama Desert, and actinobacteria were isolated and identified by 16S gene sequencing. The PGPR activities of phosphate solubilization, nitrogen fixation, and the production of siderophore and auxin were assessed at increasing concentrations of NaCl, as well as the enhancement of salt tolerance in lettuce plants irrigated with 100 mM of NaCl. Photosynthesis activity and chlorophyll content, proline content, lipid peroxidation, cation and P concentration, and the identification and quantification of phenolic compounds were assessed. The strains S. niveoruber ATMLC132021 and S. lienomycini ATMLC122021 were positive for nitrogen fixation and P solubilization activities and produced auxin up to 200 mM NaCl. In lettuce plants, both strains were able to improve salt stress tolerance by increasing proline contents, carotenoids, chlorophyll, water use efficiency (WUE), stomatal conductance (gs), and net photosynthesis (A), concomitantly with the overproduction of the phenolic compound dicaffeoylquinic acid. All these traits were positively correlated with the biomass production under saltwater irrigation, suggesting its possible use as bioinoculants for the agriculture in areas where the water resources are scarce and usually with high salt concentrations.
PPARγ Acetylation in Adipocytes Exacerbates BAT Whitening and Worsens Age-Associated Metabolic Dysfunction

Aging and obesity are the two prominent driving forces of metabolic dysfunction, yet the common underlying mechanisms remain elusive. PPARγ, a central metabolic regulator and primary drug target combatting insulin resistance, is hyperacetylated in both aging and obesity. By employing a unique adipocyte-specific PPARγ acetylation-mimetic mutant knock-in mouse model, namely aKQ, we demonstrate that these mice develop worsened obesity, insulin resistance, dyslipidemia, and glucose intolerance as they age, and these metabolic deregulations are resistant to intervention by intermittent fasting. Interestingly, aKQ mice show a whitening phenotype of brown adipose tissue (BAT) manifested in lipid filling and suppressed BAT markers. Diet-induced obese aKQ mice retain an expected response to thiazolidinedione (TZD) treatment, while BAT function remains impaired. This BAT whitening phenotype persists even with the activation of SirT1 through resveratrol treatment. Moreover, the adverse effect of TZDs on bone loss is exacerbated in aKQ mice and is potentially mediated by their increased Adipsin levels. Our results collectively suggest pathogenic implications of adipocyte PPARγ acetylation, contributing to metabolic dysfunction in aging and thus posing as a potential therapeutic target.
The Highly Embryogenic Brassica napus DH4079 Line Is Recalcitrant to Agrobacterium-Mediated Genetic Transformation

Brassica napus is a species of high agronomic interest, used as a model to study different processes, including microspore embryogenesis. The DH4079 and DH12075 lines show high and low embryogenic response, respectively, which makes them ideal to study the basic mechanisms controlling embryogenesis induction. Therefore, the availability of protocols for genetic transformation of these two backgrounds would help to generate tools to better understand this process. There are some reports in the literature showing the stable transformation of DH12075. However, no equivalent studies in DH4079 have been reported to date. We explored the ability of DH4079 plants to be genetically transformed. As a reference to compare with, we used the same protocols to transform DH12075. We used three different protocols previously reported as successful for B. napus stable transformation with Agrobacterium tumefaciens and analyzed the response of plants. Whereas DH12075 plants responded to genetic transformation, DH4079 plants were completely recalcitrant, not producing any single regenerant out of the 1784 explants transformed and cultured. Additionally, an Agrobacterium rhizogenes transient transformation assay was performed on both lines, and only DH12075, but no DH4079 seedlings, responded to A. rhizogenes infection. Therefore, we propose that the DH4079 line is recalcitrant to Agrobacterium-mediated transformation.
Statistical analysis and verification of 3‐hourly geomagnetic activity probability predictions

The Space Environment Prediction Center (SEPC) has classified geomagnetic activity into four levels: quiet to unsettled (Kp < 4), active (Kp = 4), minor to moderate storm (Kp = 5 or 6), and major to severe storm (Kp > 6). The 3‐hourly Kp index prediction product provided by the SEPC is updated half hourly. In this study, the statistical conditional forecast models for the 3‐hourly geomagnetic activity level were developed based on 10 years of data and applied to more than 3 years of data, using the previous Kp index, interplanetary magnetic field, and solar wind parameters measured by the Advanced Composition Explorer as conditional parameters. The quality of the forecast models was measured and compared against verifications of accuracy, reliability, discrimination capability, and skill of predicting all geomagnetic activity levels, especially the probability of reaching the storm level given a previous “calm” (nonstorm level) or “storm” (storm level) condition. It was found that the conditional models that used the previous Kp index, the peak value of BtV (the product of the total interplanetary magnetic field and speed), the average value of Bz (the southerly component of the interplanetary magnetic field), and BzV (the product of the southerly component of the interplanetary magnetic field and speed) over the last 6 h as conditional parameters provide a relative operating characteristic area of 0.64 and can be an appropriate predictor for the probability forecast of geomagnetic activity level.