Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal land allocation to crop production in different decision priorities and water availability scenarios: East Azerbaijan province of Iran

ABSTRACT Optimal cropping pattern of Maragheh-Bonab plain was determined in different decision priorities (from viewpoint of farmers and experts) and annually water availability scenarios [60, 80 and 100 MCM (million cubic meters)/year]. Goal programming model was applied to the optimization of cropping pattern with considering eight goals. In the optimal cropping pattern from viewpoint of farmers, water consumption was reduced compared to existing condition about 42%, 32%, and 3% at 60, 80, and 100 MCM/year scenarios, respectively. While, from viewpoint of experts, this reduction was about 55%, 32%, and 32% for 60, 80, and 100 MCM/year scenarios, respectively. At 60 MCM/year scenario, total net return was calculated lower than the existing cropping pattern about 11% and 45% from the viewpoint of farmers and experts, respectively. However, optimization at 80 and 100 MCM/year scenarios, increased total net return compared to existing condition about 14% and 24% from the viewpoint of farmers and 14% and 14% from the viewpoint of experts, respectively. In the optimal cropping patterns, despite lower water consumption, the amount of net return, economic water productivity, economic energy, and land productivity increased against a decrease in employment, global warming potential, and environmental impacts of pesticides in the whole area.
Microwave-synthesized poly(ionic liquid) particles: a new material with high electrorheological activity

Hydrophobic poly(ionic liquid) particles are synthesized by a microwave-assisted dispersion polymerization method and their electro-responsive characteristic is investigated as a new water-free polyelectrolyte-based electrorheological (ER) system. Structure characterization shows that the poly(ionic liquid) particles are uniform microspheres with a narrow size distribution of ∼1.8 μm and a low density of ∼1.62 g cm−3. Under electric fields, the fluid of poly(ionic liquid) particles in silicone oil shows low current density but high ER activity including small off-field viscosity, large field-induced shear stress and storage modulus, and stable flow curves in a wide shear rate region. The ER effect increases with particle content. The typical shear stress is ∼2500 Pa at 4 kV mm−1 and 100 s−1, which is ∼30 times as high as the off-field shear stress. Dielectric spectra analysis indicates that the high ER activity can be attributed to strong dielectric polarizability and adequate polarization response induced by the high-density of cation/anion parts in poly(ionic liquid) particles. The ER activity also depends on the type of cation/anion parts.
PHENOLOGY OF BUSH-FORAGE SPECIES ESTABLISHED IN A SILVOPASTORAL SYSTEM IN TWO SOIL TYPES IN YUCATAN, MEXICO

Silvopastoral systems represent a sustainable alternative for livestock production. Such systems are part of agroforestry and represent an agroecosystem which can be designed chronological and topological by an arboreal and herbaceous component. It has been demonstrated that silvopastoral systems can improve the forage production, add firewood and reduce temperature in grassland what generating animal wellness. However, to obtain the benefits of a silvopastoral system, it is important to know the phenology of forage bushes in a multi-associated system. The objective of this work was to evaluate a multi-associated silvopastoral system accord of the phenological behavior of four bushes with forage potential in two types of soil (Leptosol and Lithosol). The study was carried out in a plot of 130 x 25 m. Around the plot was intercalated Hibiscus rosa-sinensis(Tulipan)species at 25 cm between plant, Gliricidiasepium(Cocoite)and Guazumaulmifolia(Pixoy)at 2 m, and inside of the plot Leucaenaleucocephala(Huaxin) at 50 cmbetween plants and3 m between rows. Evaluated treatments were Leptosol or Lithosol soils, the variables measured were plant height, basal diameter, diameter at 35 cm, branches number, flowering date and pods number, growth rate and surviving. The analysis of variance and Duncan test were carried out to detect differences between treatments in plant age. The 100% of surviving was observed in Huaxin, Pixoy and Tulipan species in both soil types at 10,7 and 10 months of age respectively, furthermore, Cocoite showed 69 and 81 % of surviving in Leptosol and Lithosol soil respectively at the 6 months of transplant. Plant height of Huaxin at ten months of age was (P<0.05) 145.5±38.70 cm with growth rate (GR) of 0.66±0.19 cm d-1 in Leptosol soil and 138.2±46.71 cm for Lithosol with GR of 0.62±0.16 cm d-1. Flowering was in winter at 5 age months. Pods productions differences (P<0.05) were observed in Leptosol with 56.3±49.41 pods and in Lithosol with 45±43.74 pods. The growth rate of Pixoy at seven months of age was (P<0.05) 133.0±29.00 cm in Leptosol with 0.68±14 cm d-1 and 101.0±27.33 cm in Lithosol soil with 0.52±138 cm d-1. The highest Tulipan plants at ten mons age were (P<0.05) 163±36.10 cm with 0.68±0.12 cm d-1 of GR in Leptosol soil and 147.7±20.38 cm with 0.62±0.07 cm d-1 of GR in Lithosol soil. For all variables in soil treatment were detected differences (P<0.05), in which, Leptosol showed be the best soil for growth. Furthermore, this type soil showed positive influence in forage bushes growth due to plants showed the best growth, except Cocoite which the surviving rate was higher in Lithosol soil.
FF-Control Point Insertion (FF-CPI) to Overcome the Degradation of Fault Detection under Multi-Cycle Test for POST

SUMMARY Multi-cycle Test looks promising a way to reduce the test application time of POST (Power-on Self-Test) for achieving a targeted high fault coverage speciﬁed by ISO26262 for testing automotive devices. In this paper, we ﬁrst analyze the mechanism of Stuck-at Fault Detection Degradation problem in multi-cycle test. Based on the result of our analysis we propose a novel solution named FF-Control Point Insertion technique (FF-CPI) to achieve the reduction of scan-in patterns by multi-cycle test. The FF-CPI technique modiﬁes the captured values of scan Flip-Flops (FFs) during capture operation by directly reversing the value of partial FFs or loading random vectors. The FF-CPI technique enhances the number of detectable stuck-at faults under the capture patterns. The experimental results of ISCAS89 and ITC99 benchmarks validated the e ﬀ ectiveness of FF-CPI technique in scan-in pattern reduction for POST.
Density Functional Investigation of Relativistic Effects on the Structure and Reactivity of Tetrahedral Gold Clusters

The influence of relativistic effects on the structure, vibrational modes, and reactivity of recently discovered tertrahedral gold clusters (Au 19 and Au 20 ) are investigated using density functional methods. The intramolecular reactivity of the clusters was analyzed using density functional-based reactivity descriptors. The work shows that whereas the structural properties and vibrational modes are considerably affected by the relativistic effects, the reactivity trends based on Fukui function calculation on various atoms within this cluster remain unaffected by the absence or presence of relativistic effects. The reactivity descriptors reveal that the vertex atoms are the most reactive ones in Au 20 toward a nucleophilic attack. On the other hand, atoms connecting the missing vertex edge with the pyramid base along with the vertex atom are the most reactive for a nucleophilic attack in Au 19 . The atoms lying at the center of each face are favorable for an electrophilic attack in both cases. Interestingly, the atoms with a missing cap in Au 19 are highly favorable for electrophilic attack, and Au 20 has more sites for a favorable nucleophilic attack.
Solvent-Driven Evolution of Block Copolymer Morphology under 3D Confinement

Nanoparticles with concentric layered structures were generated from a lamellae-forming poly(styrene-b-isoprene) diblock copolymer using controlled precipitation from a tetrahydrofuran/water mixture. Chloroform, a good solvent for both blocks, was used to swell and anneal the nanoparticles suspended in aqueous media. The three-dimensional morphologies of particles were reconstructed by transmission electron microtomography throughout the process of solvent annealing. A transition from concentric lamellae to PI cylinders in a PS matrix occurred upon annealing, presumably due to a slight selectivity of chloroform for PS. These cylindrical microdomains were further divided into PS-core-PI-shell spherical structures in a PS matrix upon extended annealing, a structure that is unique among reported microphase separated morphologies of diblock copolymers.
One-step ZnCl2/FeCl3 composites preparation of magnetic activated carbon for effective adsorption of rhodamine B dye

Abstract The conventional methods of magnetic activated carbon preparation involved multiple steps and often result in poor removal performance. This work was aimed to evaluate the physicochemical and adsorptive properties of magnetic activated carbons produced via single-step preparation using zinc chloride/ferric chloride activation for rhodamine B removal. The materials were characterized for proximate and elemental composition, textural characteristics, surface chemistry, and magnetic properties. The magnetic activated carbon endows a specific surface area of 1775 m2/g with 93.8% mesoporosity, featured an excellent rhodamine B (RB) adsorption at 371 mg/g. The magnetic activated carbons prepared by conventional magnetization methods and non-magnetic activated carbon were also employed for comparison. The adsorption of RB is an endothermic and spontaneous process. The activation energy of 24.1–28.9 kJ/mol indicates that the process is physisorption. The magnetic activated carbon exhibits a higher recovery of 93.7% for three consecutive cycles at regeneration condition of 68.3 °C for 1 h. The findings demonstrate the practical views of a facile preparation of magnetic activated carbon in simplifying the separation in a fast and cost-effective manner for wastewater treatment.
Grand canonical Monte Carlo simulation of hydration forces between nonorienting and orienting structureless walls

The hydration forces between structureless model walls were calculated using the grand canonical Monte Carlo technique. Several wall–water interaction potentials were tried, including both orientation independent and strongly directional potentials which reflected the preference of water for tetrahedral hydrogen bonding coordination. Primary attention was given to large wall-to-wall separations (4 nm and more), where the oscillations of the hydration force due to layering effects decayed. The hydration force was found to be highly sensitive to the presence of orientation-dependent terms in the wall–water interaction potential. Strongly directional potentials led to hydrophobic attraction of the walls even when the wall–water interaction was substantially stronger than the water–water interaction. The reason had to do with the orientational ordering induced by the walls in the adjacent water layers.
Medicinal Plants in the Treatment of Hypertension: A Review

Traditional medicine is a comprehensive term for ancient, culture-bound health care practices that existed before the use of science in health matters and has been used for centuries. Medicinal plants are used to treat patients with cardiovascular diseases, which may occur due to ailments of the heart and blood vessels and comprise heart attacks, cerebrovascular diseases, hypertension, and heart failure. Hypertension causes difficulty in the functioning of the heart and is involved in atherosclerosis, raising the risk of heart attack and stroke. Many drugs are available for managing these diseases, though common antihypertensive drugs are generally accompanied by many side effects. Medicinal herbs have several active substances with pharmacological and prophylactic properties that can be used in the treatment of hypertension. This review presents an overview of some medicinal plants that have been shown to have hypotensive or antihypertensive properties.
EDITORIAL: INDIVIDUAL DIFFERENCES IN PERSONALITY TRAITS AND EMOTIONS

Human cognition and behavior are not uniform and have wide variations, namely individual differences—the (psychological) characteristics that distinguish one person from another and help define their individuality. As I write this editorial, the COVID-19 pandemic continues to tragically affect societies worldwide; unfortunately, while some patients are more prone to severe illnesses, others are not. This phenomenon may be considered dependent on individual differences. Recent research has also found a broad range of individual differences in the amounts of SARS-CoV-2 antibodies in convalescent individuals (Robbiani et al., 2020). Thus, individual differences cannot be ignored in scientific research. Cronbach (1957) distinguished between two streams of psychological science: experimental and individual (correlational). In the former, individual differences are simply regarded as measurement errors, whereas the latter attempts to capture working implications for individual differences, expressing them as functions of personal characteristics. Despite the diverse ways of thinking about individual differences in psychological science, one cannot deny that we can only highlight individual characteristics more clearly when we adopt multiple perspectives in evaluating individual differences rather than look at them from a single standpoint. Scientific attitudes toward individual differences depend on how we view and understand the nature and characteristics related to individual differences. Therefore, we need to properly examine the situations in which individual differences exist, either generally or domain-specifically, and how they are developed. This special issue aims to showcase state-of-the-art individual difference research. The first article by Wakabayashi (2020) tested the usefulness of the five-factor model (FFM) of personality traits, known as the Big Five, in the categorical diagnosis of personality disorders. The results demonstrated that the FFM of personality traits only partially predicted personality disorders, suggesting that the model may not be appropriate in capturing both personality trait description in the normal range and categorical personality disorder diagnosis on the same axis. The FFM of personality traits is sometimes treated as the only solution when depicting individual differences in personality traits. However, this study caused some controversy with that idea and provided empirical evidence that the FFM is not panacea for personality research.
A Power Efficient Frequency Divider With 55 GHz Self-Oscillating Frequency in SiGe BiCMOS

A power efficient static frequency divider in commercial 55 nm SiGe BiCMOS technology is reported. A standard Current Mode Logic (CML)-based architecture is adopted, and optimization of layout, biasing and transistor sizes allows achieving a maximum input frequency of 63 GHz and a self-oscillating frequency of 55 GHz, while consuming 23.7 mW from a 3 V supply. This results in high efficiency with respect to other static frequency dividers in BiCMOS technology presented in the literature. The divider topology does not use inductors, thus optimizing the area footprint: the divider core occupies 60 × 65 μm2 on silicon.
Does market structure matter for Islamic rural banks' profitability?

This study investigates the impact of the market structure including bank-specific factor and macroeconomic conditions on profitability of Islamic rural banks in Yogyakarta and Central Java provinces. We employ the Structure Conduct Performance (SCP) and Relative Market Power (MRP) hypothesis using static and dynamic panel data regression over the periods 2013Q1- 2018Q4. Diagnostic tests obviously confirm that the dynamic panel regression is more appropriate in estimating profitability because of the dynamic behavior of profitability, instead of the static panel regression. Based on the Concentration Ratio (CR) and the Herfindahl-Hirschman Index (HHI), both provinces face imperfect competition market. Market share positively affect profitability but market concentration has no impact on profitability. The results clearly show that our study supports the RMP hypothesis but fail to confirm the SCP hypothesis. Some control variables such as the level of efficiency and financing rate also affect profitability. A high level of operating efficiency increases more profits and low non-performing financing produce more profits. Our findings suggest that improving operating cost eventually is the key in capitalizing the power of market share. JEL Classification : G21, G24 DOI: https://doi.org/10.26905/jkdp.v24i4. 4810
The Effect of Cuminum Essential Oil on Rheological Properties and Shelf Life of Probiotic Yoghurt

ORIGINAL ARTICLE Background: Antimicrobial and antioxidant properties of the essential oils (EOs) are important in food industry. This study investigated the effects of EO from Cuminum cyminum on the preservation of yogurt containing Streptococcus thermophilus, Lactobacillus bulgaricus, and Bifidobacterium bifidum. Methods: The yogurt samples’ biological, physicochemical, and sensorial characteristics were evaluated at three levels of 1%, 2% and 3% of EO during the storage (7, 14, and 21 days). Results: The bacterial activity declined significantly in all samples during the storage (P < 0.05). Adding EO decreased the rate of bacterial growth of both probiotic and starter strains over 21 days. The titratable acidity (TA) and syneresis were increased (P < 0.05), while the pH levels were decreased (P < 0.05) during the storage. The highest viscosity was 8600 mili paskal secent (mPa.s) in control sample in the first day and 5700 mPa.s for 1% cuminum cyminum essential oil (CEO) on the 21 st day. The CEO had no effects on flavor, odor, and overall acceptability. Conclusion: Generally, the high level of phenols influenced the biological, physicochemical, and rheological properties of bioyogurts positively.
COMBINATION NK-92MI CD64 CELL THERAPY APPROACH WITH THERAPEUTIC ANTIBODIES TO TREAT METASTATIC PROSTATE CANCER

151 Figure 2 Adoptive NK-92MI cell transfer in combination with TROP2and FAP-targeted antibodies reduces tumor growth in mice. Conclusions Our study suggests that NK-92MI cell therapy with antibodies targeting the tumor stroma and malignant cells is effective in a prostate cancer model. Validation of this combination therapy presents a new approach for treating mCRPC and could improve antitumor response. Ethics Approval The study was approved by the University of Minnesota Institutional Animal Care and Use Committee (IACUC) approval number 1708A-35052. REFERENCES 1. Fabre M, et al. OMTX705, a Novel FAP-Targeting ADC Demonstrates Activity in Chemotherapy and Pembrolizumab-Resistant Solid Tumor Models. Clin Can Res. 2020;26;3420–30. 2. Kakarla S, et al. Antitumor effects of chimeric receptor engineered human T cells directed to tumor stroma. Mol Ther. 2013;21:1611–20. 3. Snyder K, et al. Expression of a recombinant high affinity IgG Fc receptor by engineered NK cells as a docking platform for therapeutic mAbs to target cancer cells. Front Immunol 2018;9;2873. http://dx.doi. org/10.1136/jitc-2020-SITC2020.0151 152 ADOPTIVE T CELL THERAPY TARGETING SOMATIC P53 MUTATIONS Peter Kim*, Parisa Malekzadeh, Nolan Vale, Elizabeth Hedges, Nikolaos Zacharakis, Steven Rosenberg. NCI, N Bethesda, Maryland, USA Background Adoptive cell therapies (ACT) directed against the products of somatic mutations in cancer cells can lead to long lasting clinical responses. We focused on ACT against shared p53 mutations to be used to potentially treat a broad range of patients with common cancers. We have built a library of anti-mutant p53 T cell receptors (TCRs) to be used for the treatment of patients with epithelial cancers in the autologous setting and as ‘off-the-shelf ’ reagents for patients sharing the same p53 mutation and HLA. Methods Tumor infiltrating lymphocytes (TILs) were screened for recognition of p53 mutations and were expanded as previously described. For treatment of patient 4349 with metastatic breast cancer, the patient‘s peripheral blood T cells were retrovirally engineered to express the allogeneic anti-p53 R175H TCR. Results We identified TILs recognizing ‘hotspot’ p53 mutations, such as R175H, Y220C, and R273C as well as less frequent but recurrent mutations, such as L111R, C135Y, and Q331H (table 1). First, we adoptively transferred TILs that Abstract 151 Figure 1 TROP2and FAP-targeted antibodies bound to CD64 demonstrate enhanced antitumor effect compared to monotherapy or NK cells alone. Abstracts J Immunother Cancer 2020;8(Suppl 3):A1–A559 A91 on Jauary 9, 2021 by gest. P rocted by coright. http/jitc.bm jcom / J Im m unther C acer: frst pulished as 10.11jitc-2020-S IT C 20.0151 on 9 N ovem er 220. D ow nladed fom
Airborne Microplastics from Waste as a Transmission Vector for COVID-19

ABSTRACT Occurrences of microplastics (plastic particle < 5 mm) have been observed in various environmental media (e.g., soil, water and air) worldwide, posing a threat to ecological, human, and animal health. Microplastics could also serve as vectors which transport toxic hydrophobic organic compounds around the globe and negatively affect the environmental quality. This paper analyzes the possible link between airborne microplastics from waste that are contaminated with SARS-CoV-2, and the transmission of SARS-CoV-2. In addition, measures for controlling the transmission of SARS-CoV-2 in airborne microplastics were discussed. Our study indicates that precautionary action regarding the management of contaminated plastic waste should be considered in order to combat the spread of SARS-CoV-2 through airborne microplastic.
SHORT TEXT TOPIC MODELING WITH EMPIRICAL LEARNING

In the present modern digital era, use of social media has been increasing exponentially. People have started using short text for expressing their thoughts. Social media websites like Twitter, Facebook are generating vast amount of short text at every second that reveals good knowledge of real time information. Extensive research is going on to discover knowledge from it. Short text is very sparse and ambiguous; hence there is a big challenge to find latent topics from it. This can be resolved by using unsupervised machine learning approach referred as topic modeling. This paper covers various topic modeling methods like Latent Dirichlet Allocation (LDA), Non-negative Matrix Factorization (NMF), and Semantics-assisted Non-negative Matrix Factorization (SeaNMF) and their comparative analysis. These three methods have been tested on ABCNews headline dataset, results have been analyzed using average Normalized Google Distance (NGD) score; which is 67.88%, 58.60%, 59.32% for SeaNMF, NMF and LDA respectively. The quantitative result shows that more meaningful and semantically similar words are clustered under each topic by SeaNMF model.