Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECT OF INTERACTION ON VARIOUS PLANTING METHODS AND SPACING ON GROWTH AND YIELD OF TURMERIC (CURCUMA LONGA L.)

The investigation at the experimental farm at Fruit Research Station Kuthulia (F.R.S.) Rewa (M.P.) was carried out during the Kharif season of 2009-10 under the edaphic and climatic condition of Rewa (M.P.). Significant variation was observed in growth and yield attributes are use interaction effect of various planting methods i.e. Flat bed, ridge and furrow and spacing methods 30x20 cm, 45x20 cm. and 60x20 cm. Growth attributes i.e. plant height, number of leaves per plant, length of leaves, breadth of leaves, no of clumps per plant, length of clumps per plant were recorded periodically at 30 days intervals up to 150 days of planting all these parameters were significantly higher with spacing 60x20 cm and ridge bed method of planting. The increasing spacing between rows up to 60x20cm and planting method ridge method encouraged the weight of primary rhizomes, weight of secondary rhizomes per plant and the fresh weight of rhizomes per plant up to significant extent. The maximum weight of primary rhizomes was 24.15 gm, weight of secondary rhizomes 31.65 gm per plant and fresh weight of rhizomes was up to 92.39 gm per plant. The combined influence of ridge bed method with 60 x 20 cm. spacing further augmented this entire yield – attributing parameters synergistically as compared to their separate application.
m6A Demethylase ALKBH5 Restrains PEDV Infection by Regulating GAS6 Expression in Porcine Alveolar Macrophages

Porcine epidemic diarrhea virus (PEDV) is a burdensome coronavirus for the global pig industry. Although its fecal-oral route has been well-recognized, increasing evidence suggests that PEDV can also spread through airborne routes, indicating that the infection may also occur in the respiratory tract. N6-methyladenosine (m6A) has been known to regulate viral replication and host immunity, yet its regulatory role and molecular mechanism regarding PEDV infection outside the gastrointestinal tract remain unexplored. In this study, we demonstrate that PEDV can infect porcine lung tissue and the 3D4/21 alveolar macrophage cell line, and the key m6A demethylase ALKBH5 is remarkably induced after PEDV infection. Interestingly, the disruption of ALKBH5 expression remarkably increases the infection’s capacity for PEDV. Transcriptome profiling identified dozens of putative targets of ALKBH5, including GAS6, which is known to regulate virus infectivity. Further, MeRIP-qPCR and mRNA stability analyses suggest that ALKBH5 regulates the expression of GAS6 via an m6A-YTHDF2-dependent mechanism. Overall, our study demonstrates that PEDV can infect porcine lung tissue and 3D4/21 cells and reveals the crucial role of ALKBH5 in restraining PEDV infections, at least partly, by influencing GAS6 through an m6A-YTHDF2-dependent mechanism.
Diurnal and Seasonal Characteristics of the Longitudinal Variations of Electron Densities in the Topside Ionosphere at Middle Latitudes

The ionosphere experiences strong diurnal and seasonal changes. The longitudinal variations of electron density (Ne) in the ionosphere at the middle latitudes also show strong diurnal and seasonal changes. In this paper, we use in situ Ne measurements from the DEMETER satellite and electron density profiles retrieved from the COSMIC data to study the local time (LT) and seasonal dependence of the longitudinal variations of topside Ne at middle latitudes during 2007–2009. With regard to the diurnal trend, the reversal phase of longitudinal peaks/valleys of topside Ne with a 12 hr interval occurred in less than half of the cases, and there were less cases with eastward phase shift of the longitudinal variations of topside Ne with LT in winter than those in other seasons. The seasonal trends of transition longitudes of topside Ne might be westward from winter to summer and eastward from summer to winter in the daytime and in the opposite direction at night in both hemispheres in some cases and sometimes they were located within 20° of longitude at 52°N in other cases. The longitudinal peaks/valleys of hmF2 and/or NmF2 and the longitudinal peaks/valleys of topside Ne were within 30° of longitude in most cases at all local times, in all seasons, and in both hemispheres. Exceptions to this were independent of season or LT.
Afduha Nurus Syamsi et al. Macronutrient Digestibilities and Enzyme Activities in Rumen Fluid

The protein-energy synchronized (PES) index-based rations can optimize microbial protein synthesis (MPS) and affect enzyme activity and macronutrient digestibility of ration in rumen fluid. This study aimed to examine the in vitro effect of a ration based on PES index on macronutrient digestibility and enzyme activity in rumen fluid. The research was conducted experimentally, consisting of 4 treatment rations with different PES indexes (R1: 0.55; R2: 0.6; R3: 0.65; R4: 0.7). Each treatment was repeated 5 times, so there were 24 experimental units. The material used was the rumen fluid of the Jawa Randu Goat, which was taken at the Sokaraja Slaughterhouse shortly after the goat was slaughtered. Each ration consisted of napier grass, river tamarind, coconut meal, soybean dregs, rice bran, cassava waste, and mineral mix. The results showed that the PES index significantly affected (P<0,01) the digestibility of protein (A), fiber (B), and fat (C), as well as the activity of protease (D) and cellulase (E) enzymes. The orthogonal polynomial test showed that the PES index has a quadratic effect on all test parameters with the following equation: A (Y= -1229.5X + 1540.6X 457.57; R= 0.75), B (Y = -800.95X + 955.86X 264.51; R2 = 0.75), C (Y = 868.92X 1038.2X + 325.1; R = 0.81), D (Y = -41.4X + 51.697X 14.982; R2 = 0.77), and E (Y = -4.8538X + 5.927X 1.6241; R2 = 0.84). The protein-energy synchronized indexbased rations increased the in vitro of macronutrient digestibility (protein, fiber, and fat) and enzyme activity on rumen fluid at a medium index level (0.6-0.63).
AI Powered Anti-Cyber Bullying System using Machine Learning Algorithm of Multinomial Naive Bayes and Optimized Linear Support Vector Machine

—“Unless and until our society recognizes cyber bullying for what it is, the suffering of thousands of silent victims will continue. ” ~ Anna Maria Chavez. There had been series of research on cyber bullying which are unable to provide reliable solution to cyber bullying. In this research work, we were able to provide a permanent solution to this by developing a model capable of detecting and intercepting bullying incoming and outgoing messages with 92% accuracy. We also developed a chatbot automation messaging system to test our model leading to the development of Artificial Intelligence powered anti-cyber bullying system using machine learning algorithm of Multinomial Naïve Bayes (MNB) and optimized linear Support Vector Machine (SVM). Our model is able to detect and intercept bullying outgoing and incoming bullying messages and take immediate action.
Class II Treatment in Growing Patients: Preliminary Evaluation of the Skeletal and Dental Effects of a New Clear Functional Appliance

Objective: The purpose of this retrospective preliminary study was to analyze the skeletal and dentoalveolar effects of a new clear functional appliance in a sample of patients close to growth spurt with class II malocclusion attributable to mandibular retrusion. Materials and methods: A sample of growing patients underwent functional Class II correction using F22® (Sweden and Martina, Due Carrare (PD), Italy) Young, realized combining the aesthetic characteristics of the F22® clear aligner with the structural features of a functional appliance. For each patient, a digital setup was performed by a single operator to plan a mandibular advancement to the therapeutic position. Cephalometric analysis before and after treatment was performed. The purpose of the statistical analysis was to evaluate dental and skeletal changes associated with F22® Young device, and whether there were statistically significant differences in anatomical measurements between the beginning and end of treatment. Results: 15 patients, 7 females and 8 males of average age 10.3, were treated with the F22® Young appliance for an average period of 10 months ± 0.5 (maximum 11.5 months, minimum 10.5 months). The data showed that the SNB angle increase was statistically significant from T0 to T1, leading to a reduction in the ANB angle. Values for the mandible length, both total (Co-Gn) and at the base (Go-Pg), significantly increased. Conclusions: According to this preliminary study, F22® Young appliance is effective in promoting mandibular advancement when used near the pubertal growth peak. The device is comfortable and aesthetic, which certainly promoted patient compliance, a key factor for treatment success.
A reactive nitrogennitrate budget of the Bohai Sea based on an isotope mass balance model

Shichao Tian, Birgit Gaye, Jianhui Tang, Yongming Luo 3, Wenguo Li, Niko Lahajnar, Kirstin Dähnke, Tina Sanders, Tianqi Xiong, Weidong Zhai, Kay-Christian Emeis 5 Institute for Geology, Universität Hamburg, Hamburg, 20146, Germany 5 Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China Institute of Soil Science, Chinese Academy of Siences, Nanjing, China Institute of Oceanography, Universität Hamburg, Hamburg, 20146, Germany Helmholtz-Zentrum Geesthacht (HZG)Hereon, Institute for Coastal Research, Geesthacht, 21502, Germany Institute of Marine Science and Technology, Shandong University, Qingdao, China 10
Interaction between cloud–radiation, atmospheric dynamics and thermodynamics based on observational data from GoAmazon 2014/15 and a cloud-resolving model

Abstract. Observational meteorological data from the field experiment GoAmazon 2014/15 and data from numerical simulations with the cloud-resolving model (CRM) called the System for Atmospheric Modeling (SAM) are used to study the interaction between the cloudiness–radiation as well as the atmospheric dynamics and thermodynamics variables for a site located in the central Amazon region (−3.2∘ S, −60.6∘ W) during the wet and dry periods. The main aims are to (a) analyze the temporal series of the integrated cloud fraction, precipitation rate and downward shortwave flux as well as (b) to determine the relationship between the integrated cloud fraction, radiative fluxes and large-scale variable anomalies as a function of the previous day's average. The temporal series of the integrated cloud fraction, precipitation rate and downward shortwave flux from SAM simulations showed physical consistency with the observations from GoAmazon 2014/15. Shallow and deep convection clouds show to have a meaningful impact on radiation fluxes in the Amazon region during wet and dry periods. Anomalies of large-scale variables (relative to the previous day's average) are physically associated with cloud formation, evolution and dissipation. SAM consistently simulated these results, where the cloud fraction vertical profile shows a pattern very close to the observed data (cloud type). Additionally, the integrated cloud fraction and large-scale variable anomalies, as a function of the previous day's average, have a good correlation. These results suggest that the memory of the large-scale dynamics from the previous day can be used to estimate the cloud fraction as well as the water content, which is a variable of the cloud itself. In general, the SAM satisfactorily simulated the interaction between cloud–radiation as well as dynamic and thermodynamic variables of the atmosphere during the periods of this study, being able to obtain atmospheric variables that are impossible to obtain in an observational way.
Systematic Characterization of the Disruption of Intestine during Liver Tumor Progression in the xmrk Oncogene Transgenic Zebrafish Model

The crosstalk between tumors and their local microenvironment has been well studied, whereas the effect of tumors on distant tissues remains understudied. Studying how tumors affect other tissues is important for understanding the systemic effect of tumors and for improving the overall health of cancer patients. In this study, we focused on the changes in the intestine during liver tumor progression, using a previously established liver tumor model through inducible expression of the oncogene xmrk in zebrafish. Progressive disruption of intestinal structure was found in the tumor fish, displaying villus damage, thinning of bowel wall, increase in goblet cell number, decrease in goblet cell size and infiltration of eosinophils, most of which were observed phenotypes of an inflammatory intestine. Intestinal epithelial cell renewal was also disrupted, with decreased cell proliferation and increased cell death. Analysis of intestinal gene expression through RNA-seq suggested deregulation of genes related to intestinal function, epithelial barrier and homeostasis and activation of pathways in inflammation, epithelial mesenchymal transition, extracellular matrix organization, as well as hemostasis. Gene set enrichment analysis showed common gene signatures between the intestine of liver tumor fish and human inflammatory bowel disease, the association of which with cancer has been recently noticed. Overall, this study represented the first systematic characterization of the disruption of intestine under the liver tumor condition and suggested targeting intestinal inflammation as a potential approach for managing cancer cachexia.
Revisiting the 1993 Extreme Precipitation in Central Nepal: Synoptic Feature and Numerical Simulation

The cloudburst event occurred on 19-20 July 1993, creating a devastating flash flood over south-central Nepal. The storm killed hundreds of people, and damaged millions of dollars of properties. This study focused on the synoptic and thermodynamics that triggered the cloudburst in central Nepal, bringing 540 mm of rainfall over a small region in less than 24 hours. Moreover, it investigates the primary reason for the particular extremest event in Nepal. Our results show the strong upward motion transported the significant moisture that led to favorable condition for development of thick cloud cover, producing a record-breaking precipitation during that event over central Nepal. Likewise, the monsoon trough with negative sea level pressure anomaly over central Nepal located east of the upper-level trough further suggests a westward tilt with height in the disturbances associated with cloudburst on the event day. Further, we also simulate the extreme precipitation events over the region using Weather Research Forecast (WRF) model however, it underestimated the precipitation amount with slight shift in event location. The model simulates the actual thermodynamics, but it fails to produce the actual precipitation. Moreover, it is difficult to simulate the actual topography over the complex region where orography plays an essential role in producing high precipitation.
An E-commerce Feedback Comment Mining Using SentiWordNet Tool and K-Means Clustering Method

Reputation based trust models are widely used in e-commerce applications. The feedback comments are used to compute sellers' reputation trust score. This system is based on the observation that the buyers can express their opinions openly and honestly in free text feedback comments. If there are no feedback comments available then the buyer need to consider the features specified for each product. The tool SentiWordNet is used for the extraction of feedback comments into positive, negative and neutral. K-means clustering method is used to group the data obtained after sentimental analysis. Each sentence in a feedback comment is considered as a document. This calculation is lead to obtain a sellers trust profile. The problem faced by all the reputation system is an all good reputation problem where reputation score are universally high for sellers and this will be difficult for a potential buyer to identify the potential buyer. This system will provide a solution for this system.
A smartphone-based bacterial colony phenotyping instrument based on the reflective elastic light-scatter pattern

A portable bacterial colony classification tool based on colonies’ reflective elastic light-scatter (ELS) patterns has been developed using a smartphone, a green laser, and a projection screen material. As the collimated beam from the laser illuminates the bacterial colony, backscattered photons interfere and generate a unique pattern on the screen material determined by the unique morphology of the colony. The phone camera, which is located behind the screen, captures the pattern. The collected patterns are utilized to extract the distinctive scatter-related features across different organisms for the classification process. Unlike other tools that use transmitted ELS patterns, the novel device measures the reflective signal, and therefore this ELS technique can be applied to organisms that are grown on opaque media such as blood agar, chocolate agar, which normally prohibits the transmission of the light and generation of forward ELS patterns. The adaptation of the smartphone camera as an imaging device dramatically reduced the system to a palm-size instrument. This made it wholly portable and easy to carry. For validation of the instrument, two different bacteria species, E. coli and L. innocua were grown on opaque agar media and tested. The results showed over 90% of overall accuracy in differentiating the organisms.
Plants in Transit Communities: Circulating Tubers and Maize in the Lake Titicaca Basin, Bolivia

Archaeologists working in the Late Formative Lake Titicaca Basin have identified several “transit communities”—villages that benefited from long-distance exchange. Some scholars suggest that such places played a key role in the development of the Middle Horizon city of Tiwanaku. In this article, we explore the movement of plant goods into transit communities during both the Late Formative (300 BC–AD 500) and Middle Horizon (AD 600–1100) periods. After presenting the current understanding of transit communities, we summarize previous work on both local plants, including tubers and quinoa, and the presence of maize. We then report on a recent microbotanical study of ceramics recovered from excavations at Late Formative Challapata (in the eastern basin) and a burial from the Middle Horizon occupation at Chiripa (in the southern basin). For the first time we identify lowland tubers in the Lake Titicaca Basin, including yuca, sweet potato, and arrowroot. These findings reveal the critical importance of microbotanical analyses for tracing regional connections and foodways in emergent Middle Horizon worlds, as well as the need for more complex interpretive models for things/plants-in-motion.
Association between Parents’ Relationship, Emotion-Regulation Strategies, and Psychotic-like Experiences in Adolescents

This study aimed to examine the association between the psychotic-like experiences (PLEs) and emotion-regulation (ER) strategies of adolescents and their parents’ relationship, and we hypothesized that the parents’ relationship moderates the link between ER strategies and PLEs. We recruited a total of 2708 first-year college students (1659 males and 1049 females) aged 15–20 years (mean = 17.9). Participants completed assessments of PLEs, their use of ER strategies, and reported their parents’ relationship as harmonious, conflicting, or divorced. Regression analyses indicated that the lower the use of the emotion-reappraisal strategy, the greater the use of the emotion-suppression strategy and that parental conflict or divorce predicted the number of PLEs endorsed and the level of distress from the PLEs. The parents’ relationship moderated the association between ER strategies and distress from PLEs. Among those who reported parental conflict or divorce, their lower use of the reappraisal strategy predicted their experiencing higher levels of distress from their PLEs. This study suggested the direct and interactive influence of the parents’ relationship and ER strategies on the presence of PLEs and PLE-related distress levels among adolescents, which may represent potential intervention targets.
Task‐aware swapping for efficient DNN inference on DRAM‐constrained edge systems

Object detection at the edge side is a common task in various environments. The deployment of convolutional neural networks in intelligent edge systems is very challenging because of the highly constrained main‐memory space. This study aims at operating neural networks with a reduced memory requirement. The basic idea is that tasks of the same type would involve the same critical subnetwork. We propose identifying the critical network connections by considering the importance of channels. During runtime, the proposed method detects the task types and timely swaps the model parameters of the critical subnetworks from the external storage into dynamic random access memory (DRAM). Compared with conventional network pruning, the proposed approach further reduced the DRAM requirement by 34.6% while maintaining a high inference accuracy.
Targeting Mechanisms of the DNA Damage Response (DDR) and DNA Repair by Natural Compounds to Improve cAT-Triggered Tumor Cell Death

Recently, we identified secalonic acid F (SA), 5-epi-nakijiquinone Q (NQ) and 5-epi-ilimaquinone (IQ) as natural compounds (NC) affecting mechanisms of the DNA damage response (DDR). Here, we further characterized their effects on DDR, DNA repair and cytotoxicity if used in mono- and co-treatment with conventional anticancer therapeutics (cAT) (cisplatin (Cis), doxorubicin (Doxo)) in vitro. All three NC influence the phosphorylation level of selected DDR-related factors (i.e., pCHK1, pKAP1, pP53, pRPA32) in mono- and/or co-treatment. Both SA and NQ attenuate the Cis- and Doxo-induced G2/M-phase arrest and effectively stimulate caspase-mediated apoptosis. Notably, SA impacts DNA repair as reflected by enhanced steady-state levels of Cis-(1,2-GpG)-DNA adducts and Doxo-induced DNA double-strand breaks (DSB). Moreover, SA decreased the mRNA and protein expression of the homologous recombination (HR)-related DSB repair factors RAD51 and BRCA1. Both SA and NQ promote Cis- and Doxo-induced cytotoxicity in an additive to synergistic manner (CI ≤ 1.0). Summarizing, we conclude that SA promotes cAT-driven caspase-dependent cell death by interfering with DSB repair and DDR-related checkpoint control mechanisms. Hence, SA is considered as the most promising lead compound to evaluate its therapeutic window in forthcoming pre-clinical in vivo studies.
A Hybrid Heuristic for a Two-Agent Multi-Skill Resource-Constrained Scheduling Problem

—This paper addresses an industrial case of the two- agent scheduling problem with a global objective function. Each agent manages one or several projects and competes with another agent for the use of common multi-skilled employees. There is a pool of employees, each of which can perform a set of skills with heterogeneous performance levels. The objectives of the two agents are both to minimize the total weighted tardiness of its tasks. Furthermore, We assume that some constraints (soft constraints) can be violated when there is no feasible schedule for the problem. Thus, the global objective function minimizes the constraint violations by reducing the undesirable deviations in the soft constraints from their respective goals. The overall objective is to ﬁnd a schedule that minimizes both agents objective functions (local objectives) and the global objective function. We provide a mixed-integer goal programming (MIGP) formulation for the problem. In addition, we present a hybrid algorithm combining an exact procedure, a greedy heuristic, and a genetic algorithm to ﬁnd an approximate Pareto solution set. We compare the performance of the hybrid algorithm against the corresponding MIGP formulation with simulated instances derived from real-world instances.