Miracle-dz/UniFAR-FTUs huggingface dataset:
poten-Transmission ratio distortion regions in the context of genomic evaluation and their effects on reproductive traits in cattle

Transmission ratio distortion (TRD), which is a deviation from Mendelian expectations, has been associated with basic mechanisms of life such as sperm and ova fertility and viability at developmental stages of the reproductive cycle. In this study different models including TRD regions were tested for different reproductive traits [days from first service to conception (FSTC), number of services, first service nonreturn rate (NRR), and stillbirth (SB)]. Thus, in addition to a basic model with systematic and random effects, including genetic effects modeled through a genomic relationship matrix, we developed 2 additional models, including a second genomic relationship matrix based on TRD regions, and TRD regions as a random effect assuming heterogeneous variances. The analyses were performed with 10,623 cows and 1,520 bulls genotyped for 47,910 SNPs, 590 TRD regions, and several records ranging from 9,587 (FSTC) to 19,667 (SB). The re-sults of this study showed the ability of TRD regions to capture some additional genetic variance for some traits; however, this did not translate into higher accuracy for genomic prediction. This could be explained by the nature of TRD itself, which may arise in different stages of the reproductive cycle. Nevertheless, important effects of TRD regions were found on SB (31 regions) and NRR (18 regions) when comparing at-risk versus control matings, especially for regions with allelic TRD pattern. Particularly for NRR, the probability of observing nonpregnant cow increases by up to 27% for specific TRD regions, and the probability of observing stillbirth increased by up to 254%. These results support the relevance of several TRD regions on some reproductive traits, especially those with allelic patterns that have not received as much attention as recessive TRD patterns.
Application of Genetic Engineering in Breeding for Resistance to Storage Insect Pests

: Reducing post-harvest storage losses through genetic improvement is both feasible and urgently needed to meet food demands in coming decades. A small but noticeable renaissance in the use of resistant varieties to minimize storage losses is taking place, especially in those ecologies where infrastructure for storage does not exist. To capitalize on genetic diversity for storage pest resistance, researchers have made significant progress in understanding the biochemical, biophysical, and genetic bases of host pest resistance, which is essential to ensure that the traits being selected meet with consumer demands. Traits that meet these criteria are now being mapped to confirm their role in resistance and to identify candidate genes using sequence homologies and proteomics. The introgression of resistance alleles from the same crop species, using marker-assisted selection or GE, will probably meet with greater public acceptance and possibly require less rigorous testing to document food safety than will the introduction of genetic material from other species. The real potential of this technology will be felt most in LDCs because the technology is packaged in the seed and should be designed to ensure that farmers have the option to recycle seed, a common practice for subsistence farmers. Modern gene technology can contribute to solve bruchid problem in Vigna species as seen in azuki bean, but its application is limited to the crops that basic technology related to genetic engineering is well established. Yet, commercial uses of the transgenic bruchid-resistant cultivars/lines require clarification of safety for human consumption as well as consumer acceptance.
Content Adaptive NN-Based In-Loop Filter for VVC

The most recent video coding standard VVC contains five in-loop filters to reduce compression artifacts that come from the common drawbacks of block-based hybrid compression framework. However, those traditional in-loop filters are insufficient to deal with the complicated compression artifacts. The emergence of Neural Networks (NNs) has brought significant advancements in the realm of image and video processing, offering a promising avenue for improving video compression. Many prior studies in this domain have focused on training models on large datasets to achieve generalization, rather than catering to specific content characteristics. In this work, we introduced a content-adaptive in-loop filter for Versatile Video Coding (VVC) working with other in-loop filters. The content adaptation is achieved by over-fitting a pre-trained model at the encoder side on the test data. To reduce the bitrate overhead, the Neural Network Compression and Representation (NNR) standard has been introduced which focuses on compressing NNs efficiently. Furthermore, rather than over-fitting all parameters within the NN model, we introduce a set of learnable parameters known as multipliers, which serve to further reduce the bitrate overhead. The proposed model takes auxiliary information including Boundary Strength (BS) and Quantization parameter (QP) as input. Additionally, we have conducted a comprehensive series of experiments to identify the optimal combination of hyperparameters for this approach. The results indicate coding gains of -2.07% (Y), -5.54% (Cb), -1.95% (Cr) Bjøntegaard Delta rate (BD-rate) for Class B and -1.34% (Y), -1.88% (Cb), -0.52% (Cr) Bjøntegaard Delta rate (BD-rate) for Class D with respect to the Peak Signal-to-Noise Ration (PSNR) on top of the Versatile Video Coding (VVC) Test Model (VVC) 12.0 with NN-based Video Coding (NNVC) 5.0
UvA-DARE (Digital Academic Repository) Of monkeys and men in perceptual

For decades sequential sampling models have successfully accounted for human and monkey decision-making, relying on the standard assumption that decision makers maintain a pre-set decision standard throughout the decision process. Based on the theoretical argument of reward rate maximization, some authors have recently suggested that decision makers become increasingly impatient as time passes and therefore lower their decision standard. Indeed, a number of studies show that computational models with an impatience component provide a good fit to human and monkey decision behavior. However, many of these studies lack quantitative model comparisons and systematic manipulations of rewards. Moreover, the often-cited evidence from single-cell recordings is not unequivocal and complimentary data from human sub-jects is largely missing. We conclude that, despite some enthusiastic calls for the abandonment of the standard model, the idea of an impatience component has yet to be fully established; we suggest a number of recently developed tools that will help bring the debate to a conclusive settlement.
Real-time single-molecule monitoring and control of nanoparticle formation

Methods capable of controlling synthesis at the level of an individual nanoparticle are a key step towards improved reproducibility and scalability in engineering complex nanomaterials. To address this, we combine spatially-patterned activation of the photoreductant sodium pyruvate with interferometric scattering microscopy to achieve fast, label-free monitoring and con-trol of 100’s of gold nanoparticles in real-time. Individual particle growth kinetics are well-described by two-step nucleation–autocatalysis model, but with a distribution of individual rate constants that change with reaction conditions.
of Multimodal Multi-objective Optimization Problems

In multimodal multi-objective optimization (MMMOO), the focus is not solely on convergence in objective space, but rather also on explicitly ensuring diversity in decision space. We illustrate why commonly used diversity measures are not entirely appropriate for this task and propose a sophisticated basin-based evaluation (BBE) method. Also, BBE variants are developed, capturing the anytime behavior of algorithms. The set of BBE measures is tested by means of an algorithm conﬁguration study. We show that these new measures also transfer properties of the well-established hypervolume (HV) indicator to the domain of MMMOO, thus also accounting for objective space convergence. More-over, we advance MMMOO research by providing insights into the multi-modal performance of the considered algorithms. Speciﬁcally, algorithms exploiting local structures are shown to outperform classical evolutionary multi-objective optimizers regarding the BBE variants and respective trade-oﬀ with HV.
Computing a Canonical Polygonal Schema of an Orientable Triangulated Surface

A closed orientable surface of genus g can be obtained by appropriate identi cation of pairs of edges of a 4ggon (the polygonal schema). The identi ed edges form 2g loops on the surface, that are disjoint except for their common end-point. These loops are generators of both the fundamental group and the homology group of the surface. The inverse problem is concerned with nding a set of 2g loops on a triangulated surface, such that cutting the surface along these loops yields a (canonical) polygonal schema. We present two optimal algorithms for this inverse problem. Both algorithms have been implemented using the CGAL polyhedron data structure.
THE RELATIONSHIP BETWEEN INFLUENCER MARKETING AND LIFESTYLE BRANDING: A CASE STUDY: TÜRKİYE, ISTANBUL

: Influencer marketing has become a well-known and commonly used method in today's social media-driven marketing environment. Influencer marketing and lifestyle branding must be used effectively, which requires an understanding of consumer perceptions. The purpose of this thesis was to examine how Turkish consumers perceive influencer marketing and assess its impact on brands. A thorough description of influencer marketing and lifestyle branding are given in the literature review section, which also emphasizes the function of social media influencers as go-betweens for customers and businesses. It examines how influencers create brand attitudes and the mechanics of trust within this marketing technique, showing influencer marketing as a contemporary version of word-of-mouth marketing. An inductive pre-survey investigation was carried out to determine the subject's relevance and importance in order to narrow the research topic. People's opinions regarding influencers were obtained during this initial phase, which helped to create the framework for the study. Following that, survey questions were used to gather information from 600 respondents, fusing quantitative and qualitative factors. According to the study's findings, influencer marketing has improved customers' opinions of brands. It has aided in creating a feeling of connection and individuality for brands. The lack of customer confidence in influencer marketing is a striking discovery, though. The relationship between lifestyle branding and influencer marketing has a favorable effect on consumers' entire social media experiences, and consumers view influencers as helpful resources during the purchasing process. The results of qualitative research go deeper into the problems with trust, highlighting the difficulties influencers and businesses have in successfully interacting with their target markets.
Long-term consequences of differences in early growth : epidemiological aspects

Background The validity and appropriateness of the metabolic syndrome as a cardiovascular risk factor is increasingly debated, partly due to the lack of a unifying underlying pathophysiological mechanism. Intra-uterine growth retardation (IUGR, low birth-weight by gender and gestational length) has been associated with several cardio-vascular problems and could be an important underlying risk factor for the metabolic syndrome.
Enumeration and Antibiotic Resistance Pattern of S. aureus from Raw Chevon Meat Sold in Bikaner City

A total of 50 chevon samples were collected from various meat shops of Bikaner city (Rajasthan) to examine the presence of Staphylococcus aureus and study antibiotic sensitivity pattern of isolated S. aureus . 46 (92%) samples were found to be contaminated with average counts of S. aureus 4.347 log 10 cfu/g. Half of the observed values to be in the potentially hazardous category. Among these 46 S. aureus isolates, 21 (45.65%) were coagulase positive. The results of antibiotic sensitivity tests revealed all S. aureus isolates (100%) sensitive to ciprofloxacin and doxycycline. In contrast, all isolates of S. aureus (100%) were resistant to ampicillin and cloxacillin. Moreover, S. aureus isolates were highly sensitive to gentamycin while most of the isolates were highly resistant to tetracycline and ofloxacin. Multidrug resistance was also found in most of the isolates. This study revealed high prevalence of S. aureus in raw chevon samples and also evidenced antibiotic resistance of the organism. The study reflects the poor hygienic condition of slaughtering and handling of chevon meat.
Low-Precision Multi-GPU Detection Approach for Massive MIMO Technology

—Massive Multiple-Input-Multiple-Output is a crucial technology for Next-Generation networks (Next-G). It uses hundreds of antennas at transceivers to exchange data. However, its accurate signal detection relies on solving an NP-hard optimization problem in real-time latency. In this poster, we propose a new GPU-based detection algorithm that demonstrates the positive impact of low-precision arithmetic with multiple GPUs to achieve next-G latency/scalability/accuracy requirements. Our approach iteratively extends a solution with several symbols representing the best combination out of the aggregated levels. The computation at each iteration is formulated as a matrix multiplication operation to leverage GPU architectures. The obtained results using A100 GPU show a 1.7 × improvement by exploiting half-precision arithmetic without loss in accuracy. Furthermore, our low-precision multi-GPU version with four A100 GPUs is 4 × faster than the single-precision single GPU version and 40 × faster than a similar parallel CPU implementation executed on a two-socket 28-core IceLake CPU with 56 threads.
Depolymerized Chitosan-g-[Poly(MMA-co-HEMA-cl-EGDMA)] Based Nanogels for Controlled Local Release of Bupivacaine

This study is designed to formulate and characterize chitosan-based nanogels that provide the controlled delivery of anesthetic drugs, such as bupivacaine (BPV), for effective postoperative pain management over prolonged periods of time. Drug carriers of chitosan/poly (MMA-co-HEMA-cl-EGDMA) (CsPMH) nanogels were prepared by varying the composition of comonomers such as MMA, HEMA, and redox initiator CAN. The nanogels were then characterized using FTIR, TGA, SEM, and TEM. The CsPMH nanogels showed greater encapsulation efficiencies from 43.20–91.77%. Computational studies were also conducted to evaluate the interaction between the drug and CsPMH nanoparticles. Finally, BPV-loaded nanoparticles were used to examine their in vitro release behavior. At pH 7.4, all the drug carriers displayed the “n” value around 0.7, thus the BPV release follows anomalous diffusion. Drug carrier 7 demonstrated a steady and sustained release of BPV for approximately 24 h and released about 91% of BPV, following the K-P mechanism of drug release. On the other hand, drug carrier 6 exhibited controlled release for approximately 12 h and released only 62% of BPV.
Surface Water Quality of Chittagong University Campus, Bangladesh

Some important characteristics of surface water quality of Chittagong University campus, Bangladesh were evaluated for use in domestic, industrial, agriculture, recreation and aquaculture purposes. Fifteen water samples were collected and analyzed in the laboratory of the Department of Soil Science of the University of Chittagong. The study revealed that most physical parameters and inorganic elements are not a serious problem for the water bodies of Chittagong University campus. On the basis of sample analysis it can be said that the surface water of Chittagong University campus is suitable for common uses.
Collation of Anticancer Activities for Benzo/Hydroxypyrone Ligands and Copper(II) Complex with Maltol on 2D Cell Models In Vitro

Heterocyclic structures are the basic building blocks of many naturally occurring organic compounds that are important for the development of essential biological processes in plants and animals, including carbohydrates and vitamins. They are also widely used as raw material sources to produce pharmaceuticals. In this study, three ligands from the groups of benzopyrones (chro-mone-2-carboxylic acid) and hydroxypyrones (maltol and coumalic acid), and a newly prepared complex of copper(II) nitrate with maltol as a ligand were investigated for their ability to inhibit cell proliferation. For research purposes, a series of solutions of the tested materials were prepared at different final concentrations (10 –5 mol dm –3 , 10 –6 mol dm –3 , and 10 –7 mol dm –3 ), and then applied to a total of 7 selected cell lines, including one healthy cell line, while the others were tumour cell lines. The results of MTT cytotoxicity assay on the selected 2D cell models showed that none of the selected ligands exhibited antiproliferative activity at any concentration on any of the tested cell lines. The complex of copper(II) nitrate and maltol, in contrast to the tested ligands at the 10 –5 mol dm –3 concentration, exhibited significant cytotoxicity as follows: KATO III > HT-29 > Hep G2 > NCI-H358 > MDA-MB-231 > Caco-2 > MRC-5. The healthy cell line (MRC-5) had a survival rate higher than 90.0 % at all tested concentrations, which led to the conclusion of the selectivity of the compound towards tumour
Evaluation of English Learning Based on E-Learning as Media in SMA Negeri 1 Kawangkoan

Global demands require the world of education to always and constantly adapt technological developments to efforts to improve the quality of education. The use of online learning or e-learning as a learning media helps to improve the quality of education. Although in practice there are advantages and disadvantages to implementing e-learning in learning. The aim of this study was to evaluate English learning based on e-learning as media in SMA N 1 Kawangkoan. Uneven internet access is a fundamental problem faced in the implementation of e-learning. As stated by (Mutia & Leonard, 2013) that to get an effective e-learning process, students and teachers must have good devices and internet access. Furthermore, the application of e-learning can result in the interaction between students and teachers being not warm. The use of electronic media in this case social media made a distance in communication between students and teachers. And teachers found a cultural scrape in the way students communicate with teachers in inappropriate language, such as communicating with peers. Not pay attention to the time in contact with the teacher and students unknow the teacher who has taught.
Application research progress of biological control of tea diseases and pests

The control effect of chemical pesticides on tea diseases and pests is rapid, but its long-term use brings "3R" issues directly affecting the sustainable development of tea. With the attention of tea quality and safety issues day, biological control as an important part of integrated pest management has turned into a broad prospect in the tea diseases and pests control system. This paper elaboratethed the definition and evolution of biological control, outlined the major types of biological control and their research on the application of tea, such as natural enemies of pests, botanical pesticides, microbial agents, pheromones and insect growth regulator, etc, summarized deficiencies of tea biological control, then proposed the following ideas and suggestions for biological control of tea diseases and pests:make full use of biocontrol microbes to antagonize tea pathogens, construct vectors against tea pest plant system, give full play to natural enemies of pests regulatory role for tea, strengthen research and bio-pesticides tea product development and application, to provide the reference for further research and application of biological control of tea diseases and pests.
Determination of Total Lipids as Fatty Acid Methyl Esters (FAME) by in situ Transesterification: Laboratory Analytical Procedure (LAP)

This procedure is based on a whole biomass transesterification of lipids to fatty acid methyl esters to represent an accurate reflection of the potential of microalgal biofuels. Lipids are present in many forms and play various roles within an algal cell, from cell membrane phospholipids to energy stored as triacylglycerols.
The Role of Family Planning (KB) Programs and Family Financial Management to Support Demographic Bonuses in West Java Province EcceS: Economics Social and Development Studies

The Role Of Family Planning (Kb) Programs And Family Financial Management To Support Demographic Bonuses In West Java Province Robert Maltus said that population growth is much faster than the growth of natural resources, and the existing population cannot be filled into a full workforce because of the limited available jobs. The government in Indonesia, especially the National Family Planning Coordinating Board (BKKBN) launched the Family Planning (KB) program to help suppress or slow down the rate of population growth, because if this is not done at the time of the Demographic Bonus, there will be a surge in the productive population which not all of them can be absorbed by the population. employment. In carrying out family planning, of course, it must be accompanied by clear financial planning, when the child is ready to go to school, the type of school chosen and to the extent that parents can afford to pay for their child's schooling. As a parent, of course, you have to plan all of this when your child is born or even when carrying out a pregnancy program. Based on the research results, it turns out that the partner support variable influences a person to participate in the program, although this variable is also very dependent on other variables, and most importantly, the desire variable is not the main key variable that determines a person's decision to join the family planning program, but the cost information variable. , education and type of family planning are the 3 key variables for someone to join the family planning program and underlie someone to make financial planning, because clear financial planning from the start of marriage really helps families to create proper education.
Discovery of the paleo-weathered mantle of the rapakivi granite covered by the Proterozoic Changzhougou Formation in the Miyun area,Beijing and their detrital zircon dating

Recently,the Proterozoic rapakivi granites(dike) with the paleo-weathered mantle-clastic rocks covered directly by the sandstones of the Changzhougou Formation of Changchengian System are discovered in the Miyun County,Beijing.The detrital components of the rocks embrace the in-situ weathered mantle saprolites and coarse-grained clastic rocks from rapakivi granites.Through SHRIMP and LA-ICP-MS dating methods,we have obtained the U-Pb dating ages of 1682±20 Ma and 1708±6 Ma from the detrital zircons sampled in the rocks;those age data are the same with the nearby Miyun rapakivi granite.The existence of this suite of weathered saprolites and clastic rocks,as well as the analysis of the dating results,have shown that the age of the base of the Changzhougou Formation should be younger than 1682 Ma.