Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Computational Models to Test Syntactic Learnability

We study the learnability of English filler–gap dependencies and the “island” constraints on them by assessing the generalizations made by autoregressive (incremental) language models that use deep learning to predict the next word given preceding context. Using factorial tests inspired by experimental psycholinguistics, we find that models acquire not only the basic contingency between fillers and gaps, but also the unboundedness and hierarchical constraints implicated in the dependency. We evaluate a model’s acquisition of island constraints by demonstrating that its expectation for a filler–gap contingency is attenuated within an island environment. Our results provide empirical evidence against the Argument from the Poverty of the Stimulus for this particular structure.
Exploring Diversity in Introductory Programming Classes: An Experience Report

Digitization is becoming part of almost everyone’s life, ranging from smartphones and tablets, smart devices automatically collecting information, to tools and scripting languages that are widely available and easy to use. This has recently been reflected in various university curricula, where courses such as computational thinking, and basic programming classes are now included in a broader range of (non-computer-science) programs. However, these programs often face challenges in such courses due to their diverse student body, with students often lacking profound digital competencies and technical background. While gender diversity aspects have been broadly studied in the past, other diversity dimensions such as ethnicity, age, or educational background have largely been neglected thus far. In this paper, we report on our experiences in teaching an introductory programming course to first-year Business Informatics bachelor students. After undergoing fundamental changes in our teaching concepts and the provided learning material, we explore what diversity factors play an important role when teaching programming to non-computer science students, and how diversity is perceived by lecturers and tutors. Our analysis confirms that a collaborative teaching concept positively supports female students and students with language barriers.
COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems

Learning representations that generalize across tasks and domains is challenging yet necessary for autonomous systems. Although task-driven approaches are appealing, de-signing models specific to each application can be difficult in the face of limited data, especially when dealing with highly variable multimodal input spaces arising from different tasks in different environments. We introduce the first general-purpose pretraining pipeline, COntrastive Multimodal Pretraining for AutonomouS Systems (COMPASS), to overcome the limitations of task-specific models and existing pretraining approaches. COMPASS constructs a multimodal graph by considering the essential information for autonomous systems and the proper-ties of different modalities. Through this graph, multimodal signals are connected and mapped into two factorized spatio-temporal latent spaces: a “motion pattern space” and a “current state space. ” By learning from multimodal correspondences in each latent space, COMPASS creates state representations that models necessary information such as temporal dynamics, geometry, and semantics. We pretrain COMPASS on a large-scale multimodal simulation dataset TartanAir [1] and evaluate it on drone navigation, vehicle racing, and visual odometry tasks. The experiments indicate that COMPASS can tackle all three scenarios and can also generalize to unseen environments and real-world data.11Our code implementation can be found at https://github.com/microsoft/COMPASS
DATA SECURITY USING THIRD PARTY AUDITING WITH RC5 ALGORITHM

: Cloud storage is one of the arm on condition that by Cloud computing in which facts is said (thing is true), managed, backed up from far and made ready (to be used) to users over a network (representatively the net). The user is had a part in about the true, good nature of knowledge for computers stored in the cloud as the users facts can be attacked or made different by outside attacker. As an outcome of that, a new idea called facts looking over of accounts by expert is introduced which check the true, good nature of knowledge for computers with the help of a thing called third Party over-seer (TPA). To make certain the rightness of facts, we take into account the work of letting a third group of persons over-seer (TPA), on in the name of the cloud person for whom one does work, to make certain of the true, good nature of the knowledge for computers stored in the cloud. the looking over of accounts by expert process should take in no new feeblenesses in the direction of user facts right not to be public, and put forward, into use no addition of on-line weight down to user. In this paper, we offer a safe cloud storage system supporting privacy-preserving public looking over of accounts by expert. We further stretch our outcome to give power to the TPA to act looking over of accounts by expert for number times other users at the same time and with small amount of money with RC5 process of changing knowledge into a secret form algorithm. This shows the offered design is highly good at producing an effect of and facts adjustment attack, and even computer colluding attacks. Here Work is gives one's mind to an idea on RC5 process of changing knowledge into a secret form algorithm for stored knowledge for computers in cloud. Took place encrypted careful way is get and simple, not hard to
Core packing of well‐defined X‐ray and NMR structures is the same

Numerous studies have investigated the differences and similarities between protein structures determined by solution NMR spectroscopy and those determined by X‐ray crystallography. A fundamental question is whether any observed differences are due to differing methodologies or to differences in the behavior of proteins in solution versus in the crystalline state. Here, we compare the properties of the hydrophobic cores of high‐resolution protein crystal structures and those in NMR structures, determined using increasing numbers and types of restraints. Prior studies have reported that many NMR structures have denser cores compared with those of high‐resolution X‐ray crystal structures. Our current work investigates this result in more detail and finds that these NMR structures tend to violate basic features of protein stereochemistry, such as small non‐bonded atomic overlaps and few Ramachandran and sidechain dihedral angle outliers. We find that NMR structures solved with more restraints, and which do not significantly violate stereochemistry, have hydrophobic cores that have a similar size and packing fraction as their counterparts determined by X‐ray crystallography at high resolution. These results lead us to conclude that, at least regarding the core packing properties, high‐quality structures determined by NMR and X‐ray crystallography are the same, and the differences reported earlier are most likely a consequence of methodology, rather than fundamental differences between the protein in the two different environments.
Natural ventilation in traditional market building: Optimize air intake trough windcatcher components

This paper presents a study on one aspect of windcatcher implementation, to optimize air intake. This study aims to investigate the optimal aspect of natural ventilation in providing the required wind intake in the building to maintain the level of air intake in the room. The Indonesian Ministry of Health stated that each market must have 20% ventilation of the space and face each other. This study examines the most optimal strategy to obtain the ventilation intake, the method used is a quantitative method by comparing alternative variables. And the results of the comparison provide selected alternative elements that can be used to improve natural ventilation in traditional market.
Assessing Structural VARs [with Comments and Discussion]

This paper analyzes the quality of VAR-based procedures for estimating the response of the economy to a shock. We focus on two key issues. First, do VAR-based confidence intervals accurately reflect the actual degree of sampling uncertainty associated with impulse response functions? Second, what is the size of bias relative to confidence intervals, and how do coverage rates of confidence intervals compare with their nominal size? We address these questions using data generated from a series of estimated dynamic, stochastic general equilibrium models. We organize most of our analysis around a particular question that has attracted a great deal of attention in the literature: How do hours worked respond to an identified shock? In all of our examples, as long as the variance in hours worked due to a given shock is above the remarkably low number of 1 percent, structural VARs perform well. This finding is true regardless of whether identification is based on short-run or long-run restrictions. Confidence intervals are wider in the case of long-run restrictions. Even so, long-run identified VARs can be useful for discriminating among competing economic models.
Comparative performance analysis of fruit fly optimisation algorithm for multi-area multi-source automatic generation control under deregulated environment

A new swarm optimisation algorithm, that is, fruit fly optimisation algorithm is proposed to tuned several classical controllers for multi-area multi-source interconnected power system under deregulated environment. In deregulated environment, for multi-source combination of reheat thermal, hydro and nuclear generating units in each control area with appropriate generation rate constraint and AC/DC link. The performance of several controller such as integral (I), proportional-integral, proportional-integral-derivative, integral-double derivative (IDD) and proportional-integral-double derivative (PIDD) are compared under different power system scenario and it is found that PIDD controller performs better than other controllers. Then sensitivity analysis is performed with system parameter variation from their nominal values. Sensitivity analysis reveals that optimum gains of PIDD controller need not be reset for wide variation in system parameters.
Coupling of plant and mycorrhizal fungal diversity: its occurrence, relevance, and possible implications under global change.

First principles predict that diversity at one trophic level often begets diversity at other levels, suggesting plant and mycorrhizal fungal diversity should be coupled. Local-scale studies have shown positive coupling between the two, but the association is less consistent when extended to larger spatial and temporal scales. These inconsistencies are likely due to divergent relationships of different mycorrhizal fungal guilds to plant diversity, scale dependency, and a lack of coordinated sampling efforts. Given that mycorrhizal fungi play a central role in plant productivity and nutrient cycling, as well as ecosystem responses to global change, an improved understanding of the coupling between plant and mycorrhizal fungal diversity across-scales will reduce uncertainties in predicting the ecosystem consequences of species gains and losses.
COMPARING EXTERNAL DATA MONETIZATION OF TWO ANALYTICS PRODUCTS

of master’s thesis i Author Iiris Savolainen Title of thesis Comparing external data monetization of two analytics products – Case study in the telecommunications industry Degree Master of Science in Economics and Business Administration Degree programme Information & Service Management Thesis advisor(s) Eeva Vilkkumaa Year of approval 2021 Number of pages 84 Language English
Comparative study of egg quality traits between Potchefstroom Koekoek and Hy-line silver brown layers

Tyasi, T. L. , Lebogang, L. & Hlokoe, V. R. (2022). Comparative study of egg quality traits between Potchefstroom Koekoek and Hy-line silver brown layers. Bulg. J. Agric. Sci., 28 (1), 145–150 Chicken egg is a biological structure intended by nature for reproduction and it also provides a complete diet for the developing embryo. In the current study, data on external and internal egg quality traits viz. egg weight (EW), egg length (EL), egg width (EWD), yolk weight (YW), shell weight (SW), shell surface index (SI), shell surface area (S.S.A), shell ratio (SR), albumen weight (AW), egg volume (EV), albumen ratio (AR), yolk ratio (YR), yolk/albumen (Y/A) and unit shell surface weight (USSW) were collected from Potchefstroom Koekoek and Hy-line silver brown layers to determine effect of chicken layer on egg quality traits. A total of 200 fresh eggs were randomly collected from the Potchefstroom Koekoek and Hy-line silver brown chickens at 22 weeks of age with 100 eggs per chicken layer to measure the physical egg quality traits. Pearson correlation and Analysis of variance (ANOVA) were used for data analysis. Correlation results of Potchefstroom Koekoek revealed that EW had a positively high statistical significant correlation (P < 0.01) with EL (r = 0.54), EWD (r = 0.85), YW (r = 0.67), SW (r = 0.59), S.S. A (r = 1.00), AW (r = 0.82) and EV (r = 0.89). While in Hy-line Silver Brown, EW had a positively high statistical significant correlation (P<0.01) with EL (r = 0.63), EWD (r = 0.77), YW (r = 0.71), SW (r = 0.71), S.S. A (r = 1.00) and AW (r = 0.93), respectively. ANOVA findings recognised that almost all the egg quality traits affected by the chicken layer favoured the Hy-line Silver Brown chicken breed when compared to Potchefstroom Koekoek chicken layer. Therefore, more studies required to improve egg quality traits of Potchefstroom Koekoek chicken layer. The study will help chicken egg farmers to improve egg quality traits to increase egg production.
Environmental chemistry of chemical warfare agents

This paper summarizes the approach used in the preparation of a Handbook for the Corps of Engineers, Huntsville Division, on the environmental chemistry of chemical warfare agents. The agents GB and HD will be used to illustrate the type of information in the report. Those readers interested in the full report should contact Mr. Arkie Fanning, Huntsville Corps of Engineers at (505) 955-5256. The U.S. Army Corps of Engineers (ACE) has identified approximately 7,200 formerly used defense sites (FUDS) in the United States, some of which are suspected to be contaminated with chemical warfare agents (CWA). The ACE has responsibility for environmental clean-up of FUDS, including site characterization, evaluation and remediation of the site. Thirty-four FUDS and 48 active DOD installations that may contain CWA were identified in an Interim Survey and Analysis Report by the USACMDA Program Manager for Non-Stockpile Chemical Material (NSCM). The chemical agents listed include sulfur mustard (H), lewisite (L), tabun (GA), sarin (GB), VX, hydrogen cyanide (AC), cyanogen chloride (CK), phosgene (CG), BZ, and CS.
Running Title: PGD for Huntington’s disease

Objective: To report a successful case of preimplantation genetic diagnosis (PGD) for Huntington’s disease using whole genome amplification Design: Case report Setting: University assisted reproduction unit Patient(s): A couple with family history of Huntington’s disease; the husband was carrying the expanded allele of the IT15 gene, while the wife had the normal allele. Intervention(s): PGD with whole genome amplification for identification of genetically normal embryos Main Outcome Measure(s): Live birth Result(s): In an IVF cycle, 15 oocytes were retrieved, of which 13 were mature and 11 were fertilized. On Day 3, embryo biopsy and PGD were performed on 10 good quality embryos. Multiple displacement amplification was conducted followed by polymerase chain reaction (PCR) with fluorescence primers. Three pairs of primers were used for the amplification of the IT15 gene at the 1) trinucleotide expansion site; 2) trinucleotide expansion site plus the polymorphic site situated on its 3’-end; and 3) polymorphic marker located downstream of the trinucleotide repeats. Two normal blastocysts were replaced on day 5 and another two good quality blastocysts were cryopreserved. The woman gave birth to a normal baby girl whose normal genetic status was confirmed by prenatal diagnosis. Conclusion(s): Whole genome amplification by multiple displacement amplification can be used for PGD of Huntington’s disease. (207 words)
Diagnosing methods and current treatment of Polycystic Ovary Syndrome (PCOS)

PCOS is a diverse endocrine condition with a varied prevalence that affects roughly one in every 15 women throughout the world. Polycystic ovarian syndrome is diagnosed when at least two of the following criteria are metoligoovulation or anovulation, clinical or biochemical evidence of hyperandrogenism, and polycystic ovary shape. PCOS appears to increase the risk of metabolic disorders, hypertension, and cardiovascular disease in women. The purpose of this paper was to give a review of articles relevant to polycystic ovaries, including pathogenesis, symptoms, diagnosis, and treatment features, as well as its relationship with ardiovascular and arterial hypertension diseases, utilising the databases
Chemical characterization of oils produced by some native and introduced genotypes of argan tree in eastern Morocco using HPLC-DAD/GC-MS, and the evaluation of their physicochemical parameters

The argan tree is an endemic plant of Morocco that plays a great socio-economical and ecological impact in the south of the country. This plant is well known for the oil extracted from the almond, characterized by high nutritional value and its large spectrum of uses. This study aims to evaluate the chemical composition and the physicochemical parameters of fixed oils produced by the argan trees introduced in Oujda City and to compare them with other oils produced by the same trees in their natural biotope in the northeast and southwest of Morocco. The obtained results indicated that the oil yield varies between 57.65% and 47.60%. The investigation of the chemical composition using HPLC-DAD showed the presence of three types of tocopherols: α-tocopherols (9.7%), δ-tocopherols (6.6%), and γ-tocopherols (83.6%), the total content of tocopherols vary between 323.86 and 553.12 mg/kg. While, the methyl esters analysis using GC-MS showed the presence of 4 main fatty acids: oleic acid (55.40–41.14%), linoleic acid (36.92–26.75%), palmitic acid (18.69–9.97%) and stearic acid (12.09–3.68). The physicochemical parameters (the free acidity, the peroxide value, and the specific extinction) indicated that the different tested oils are characterized by a good oil quality according to the Moroccan standard concerning argan oil (NM 08.5.090). The obtained results indicated that the introduced argan in Oujda City showed a quality and a chemical composition that was comparable to that produced in the natural area of the argan tree, which shows the plasticity the plant under different climatic and edaphic conditions. These results emphasize the encouragement of the introduction of this species at a high level in eastern Morocco.
Poisson-Boltzmann Solvents in Molecular Dynamics Simulations

Recent years have witnessed significant improvement in implicit solvents based on the Poisson-Boltzmann theory, whether in the forms of numerical solution or analytical approximation. Especially worth noting are the improvements and revisions of those implicit solvents for stable dynamics simulations. Given these technical advancements, attentions are now paid to the quality of implicit solvents as compared with the more expensive explicit solvents. The new developments in nonpolar solvents mentioned above and reviewed elsewhere will also result in more accurate simulations of biomolecules. We have also touched the new challenges facing the implicit solvents. That is how to incorporate these solvents in the emerging polarizable force fields. New challenges could also arise from the assumptions underlying all implicit solvents, as recently explored to couple electrostatic and nonelectrostatic components together. In addition, hybrid solvents could eventually become a reality for dynamics simulation even this has been proposed in the early days of computational biochemistry. It is likely that such hybrid solvents will offer the necessary accuracy, as they no longer average out the very degrees of freedom that are of interest in studies where solute/solvent coupling is crucial. PACS: 87.15. ap, 41.20. Cv
Hirshfeld surface analysis of solid-state synthesized NiFe2O4 nanocomposite and application of it for photocatalytic degradation of Water pollutant dye

* Corresponding Author Email: ahakimyfard@jsu.ac. ir, ahakimyfard@yahoo.com How to cite this article Hakimyfard A. , Khademinia Sh. Hirshfeld surface analysis of solid-state synthesized NiFe2O4 nanocomposite and application of it for photocatalytic degradation of Water pollutant dye. Int. J. Nano Dimens. , 2022; 13(2): 155-167. Abstract The present work reports the Hirshfeld surface analysis and photocatalytic performance of NiFe2O4 nanomaterial. Hirshfeld surface analysis was performed to understand the interaction properties of the NiFe2O4 compound. The active sites including π-π interactions are studied by the analysis. The Hirshfeld data showed that the two wings in the O.O, and O.Ni diagrams are created by short contacts of O.O and O.Ni which causes O―O. π and O―Ni. π interactions. The interactions cover the surfaces with values of 8.8% and 9.4%, respectively. Nanostructured NiFe2O4 powder was used as a photocatalyst to degrade Malachite Green (MG) waste water pollutant dye under visible light irradiation. The optimized conditions for the degradation of a 100 mL of 80 ppm MG aqueous solution are 0.03 mL H2O2, 0.038 g catalyst and 45 min reaction time. The degradation yield at the optimized conditions under visible light irradiation was 95 %. The light source was a white color fluorescent lamp with the 40 W power and light intensity of 1.34 W/m2 measured by a digital lux meter.
The complete chloroplast genome of Ananas comosus var. erectifolius (L.B. Smith) Coppens & Leal

Abstract Ananas comosus var. erectifolius (L.B. Smith) Coppens & Leal, a tropical plant from Bromeliaceae family, has immense applications, especially for fiber production of excellent quality. The lack of available chloroplast (cp) genome information limits its breeding and application. Here, we assembled its complete cp genome using Illumina high-throughput sequencing technology. The cp genome size is 159,983 bp, with 37.4% GC content, including a large single copy region (LSC) of 87,787 bp, a small single copy region (SSC) of 18,606 bp, and a pair of inverted repeat regions (IRs) of 26,795 bp. It encodes 89 protein-coding, 38 tRNA and 8 rRNA genes. Phylogenetic analysis showed that A. comosus var. erectifolius was close to Ananas comosus. The complete cp genome sequences could provide valuable information for variety breeding and genetic analysis of agronomic and economic traits in A. comosus var. erectifolius.