Miracle-dz/UniFAR-FTUs huggingface dataset:
Human AKTIP interacts with ESCRT proteins and functions at the midbody in cytokinesis

To complete mitosis, the intercellular bridge that links daughter cells needs to be cleaved. This abscission step is carried out by the sequential recruitment of ESCRT proteins at the midbody. We report here that a new factor, named AKTIP, works in association with ESCRTs. We find that AKTIP binds to the ESCRT I subunit VPS28, and show by high resolution microscopy that AKTIP forms a ring in the dark zone of the intercellular bridge. This ring is positioned in between the circular structures formed by ESCRTs type III. Functionally, we observe that the reduction of AKTIP impinges on the recruitment of the ESCRT III member IST1 at the midbody and causes abscission defects. Taken together, these data indicate that AKTIP is a new factor that contributes to the formation of the ESCRT complex at the midbody and is implicated in the performance of the ESCRT machinery during cytokinetic abscission.
The Effect of Symbolic Modeling Techniques Through Video Shows to Reduce Bullying Behavior of Students in Industrial Revolution 4.0

: Bullying is a behavior that is very threatening and has a harmful effect on its victims. This study aims to determine general bullying behavior at SMPN 2 Pinrang. Moreover, it is also to see whether the techniques used are effective in reducing bullying behavior in students. This research is a quantitative study with a non-equivalent control group research design. The data collection tools used are in the form of scale, observation, and documentation. There are 53 students in the population in which the sample is 18 students. The sampling method used simple random sampling. The results of this study show a change in bullying behavior from the high category (44.44%) to moderate (55.55%). While the results of the Wilcoxon test statistical analysis show the value of sig = . 08 < = 0.05. Based on the results, “there is an influence of symbolic modeling techniques through video shows in reducing student bullying behavior”. In other words, symbolic modeling techniques are effective for reducing bullying behavior in students.
Évaluer la dose optimale de glucocorticoïdes pour traiter la néphrite lupique : une collaboration entre Bordeaux et Bilbao

Objectif : comparer l’evolution clinique des patients atteints de nephrite lupique (NL) de classe III, IV et V traites a l’Hospital Universitario Cruces (CC) et a l'hopital universitaire de Bordeaux (BC). Methode : le protocole Lupus-Cruces pour la nephrite lupique combine des boli de 125 mg de methylprednisolone associes a chaque bolus bimensuel de cyclophosphamide et a la prise de prednisone ≤30 mg/jour avec une decroissance sur 12 a 14 semaines jusqu'a 2.5-5 mg/jour. BC a suivi les lignes directrices internationales sur les nephrites lupiques, combinant une dose elevee de prednisone soit au mycophenolate mofetil, soit au cyclophosphamide, suivi d'un traitement d'entretien avec une faible dose de prednisone et des medicaments immunosuppresseurs. Les criteres de jugements principaux etaient la remission renale complete (RC) et la toxicite des glucocorticoides (GCs). Resultats : 44 patients de BC et 29 de CC ont ete inclus. La dose maximale moyenne de prednisone etait de 42.5 (BC) contre 21 mg/jour (CC), p<0.001. La dose moyenne de prednisone a 6 mois etait de 21 (BC) contre 8.3 mg/jour (CC), p<0.001. Le nombre moyen de boli de methylprednisolone etait de 3 (BC) contre 9.3 (CC), p <0.001. L’hydroxychloroquine a ete utilisee par 64% (BC) contre 100% (CC), p <0.001. Les taux de RC etaient de 30% (BC) contre 69% (CC), p=0.001 et 42% (BC) contre 86% (CC), p <0,001, respectivement a 6 et 12 mois. Les patients de CC ont plus frequemment atteint une RC (HR ajuste 3.8, IC 95% CI 2.05-7.09). Le nombre de boli de methylprednisolone etait associe a la RC (HR ajuste 1.09, IC 95% 1.03-1.15). Les patients dans le CC ont un risque plus faible d'effets secondaires lies aux GCs (HR 0.19 ajuste, IC 95% 0.04-0.89). Conclusion : le protocole Lupus-Cruces concernant les nephrites ameliore l'issue de la NL. Les boli repetes de methylprednisolone contribuent a reduire la dose de GCs par voie orale et a ameliorer la reponse clinique.
Testing the Nurturing Environments Framework on Youth Violence Across Ethnically and Geographically Diverse Urban and Rural Samples of Adolescents

Although research advocates for comprehensive cross-sector youth violence prevention efforts, mobilizing across sectors to translate scientific recommendations into practice has proven challenging. A unifying framework may provide a foundational step toward building a shared understanding of the risk and protective factors that impact youth violence. We conducted two empirical tests of the nurturing environment framework on youth violence across ethnic and geographically diverse rural and urban adolescent samples. Results show that overall the characteristics of nurturing environments are associated with lower levels of aggression and violence. In addition, minimizing exposure to socially toxic conditions had the strongest associations with lower aggression and violence. Findings were supported across both samples, suggesting that this framework may apply in urban and rural, economically disadvantaged contexts.
The cannabis industry within the USA: the influence of gender on cannabis policy and sales

Purpose Motivated by upper echelon theory, this paper aims to examine the association between gender and the cannabis industry in the USA from both policy and an organizational perspective. Design/methodology/approach This paper examines two novel data sets in two legal adult-use cannabis states. First, it examines how city council gender diversity relates to city opt-out measure decisions, barring cannabis operations and forgoing related tax revenues. Second, it examines how management gender diversity relates to organizational performance. Findings Results suggest that, from a policy perspective, cities with higher council gender diversity are less likely to propose an opt-out measure to city taxpayers. From an organizational perspective, results suggest that female representation at the highest level is associated with higher sales in the retail sector of the cannabis industry. Research limitations/implications Findings are somewhat limited by data availability and may not be generalizable to all adult-use legal states. While the study recognizes the possibility of self-selection bias in the results, robust analyses is performed to limit this possibility. Finally, while the study wholly recognizes that gender is not binary, it is limited to a binary gender variable based on the gender recognition software used in this study. It is also understood that this may not accurately capture the richness of a more inclusive examination of gender. Practical implications Results from this study inform communities on the impact of city council gender diversity on policy outcomes and related tax revenue levels. Further, results inform the adult-use cannabis industry on benefits derived from executive-level gender diversity. Social implications Evidence suggests that gender diversity has a significant impact on the adoption of legalized adult-use cannabis policy. Social benefits from legalization potentially include increased revenues from taxes, decreased spending on cannabis enforcement, decreased health costs and decreased drug-related violence. Many of these benefits substantially impact communities disproportionally burdened by former prohibition. Additionally, the results indicate that gender is associated with the level of sales within cannabis organizations, generating debate about the possibility of economic performance in the absence of historical executive gender barriers. Originality/value This paper provides an initial empirical examination of gender diversity within and around the rapidly evolving adult-use cannabis industry in the USA.
Business and development: how organization, ownership and networks matter

Abstract A recent wave of research – including the five books we review – argues for paying more attention to business and the private sector when explaining development outcomes. We draw on these books to make four main arguments. First, micro-attention to variations in business organization and behavior forces a framework shift away from a statist literature that attributed explanatory power to bureaucracies and state capacity and away from market-oriented institutionalists who focus on rules – domestic and international – rather than organizations like firms. Second, we identify aspects of firm organization and ownership as key variables in assessing business impact on development. Third, we highlight the development-enhancing networks that grow out of, and transcend, firms. Fourth, we suggest that business characteristics should be both inputs into policy-making and targets of policy. The paper closes with a reminder that beyond its direct contributions to development, business is also a powerful actor in shaping politics and policy in its favor.
A simplified neutrosophic multiplicative set‐based TODIM using water‐filling algorithm for the determination of weights

Due to the technological developments around the world, the amount of information that researchers work on increases continuously. This information density contains incomplete and uncertain data that cannot be fully expressed with crisp numbers. Fuzzy sets, intuitionistic fuzzy sets, and neutrosophic sets are useful tools to manage such information, but these concepts use a symmetrical and uniform scale to express data, whereas real‐life problems contain nonsymmetrical and non‐uniform information. Intuitionistic multiplicative sets (IMSs) are effective tools for dealing with these real‐life problems. However, IMSs cannot handle real‐life problems completely because indeterminate information depends on membership and non‐membership information of IMSs, which is a restriction for decision makers and also for decision problems. To overcome this limitation, this paper generalizes the IMSs by using simplified neutrosophic set and introduces a novel approach that is called simplified neutrosophic multiplicative sets (SNMSs). Firstly, we define SNMS, show their set‐based operations, and then give a description of simplified neutrosophic multiplicative numbers (SNMNs). Based on SNMNs, we develop two simplified neutrosophic multiplicative aggregation operators on SNMNs that are called simplified neutrosophic multiplicative weighted arithmetic average operator and simplified neutrosophic multiplicative weighted geometric average operator. Furthermore, we define some simplified neutrosophic multiplicative distance measures. Finally, using a model based on water‐filling algorithm for determining criteria weights, we give a numerical example to demonstrate the effectiveness of the introduced concept with the proposed simplified neutrosophic multiplicative simplified neutrosophic multiplicative‐TODIM method.
Context Pattern Based Agricultural Named Entity Recognition

Named entity recognition (NER) play a vital role in various application of Natural Language processing. Although a significant work has been done in general and biomedical domain NER, but agriculture domain has been ignored for a long time. Agriculture entity includes name of crops, crop diseases, fertilizers etc. Due to the inapplicability of conventional features which has been used for identifying general named entities, recognizing and extracting the agricultural entities become a rigorous and challenging task. As NER in agriculture domain has not been yet explored a lot, thus building up a NER system for agriculture domain is very recent and vital work. This paper proposes a novel context-based approach to develop a NER system for agriculture domain. The proposed approach employs the context pattern for extracting the required entity of interest. The experiment is carried out in two different genres 1) Word Context Pattern 2) POS context pattern. In word context pattern, merely the co-occurring word tokens corresponding to the required entity is considered. While in Part of Speech (POS) rather than considering the co-occurring word tokens, their POS structure is plied. We have proposed seven part of speech patterns which are most likely to comprise all the instances of required entity of interest. The remarkable point is that the proposed POS patterns have not only device the known agricultural entities but have also extracted out 55 hidden entities from the data set. To boost up the performance of the NER system semantic similarity module has also been exercised. The proposed approach attains an accuracy of 70.45 % and recall of 91.3% which is appreciable as the preparatory work.
Mapping the nucleolar proteome reveals a spatiotemporal organization related to intrinsic protein disorder

The nucleolus is essential for ribosome biogenesis and is involved in many other cellular functions. We performed a systematic spatiotemporal dissection of the human nucleolar proteome using confocal microscopy. In total, 1,318 nucleolar proteins were identified; 287 were localized to fibrillar components, and 157 were enriched along the nucleoplasmic border, indicating a potential fourth nucleolar subcompartment (nucleoli rim). We found 65 nucleolar proteins (36 uncharacterized) to relocate to the chromosomal periphery during mitosis. Interestingly, we observed temporal partitioning into two recruitment phenotypes: early (prometaphase) and late (after metaphase), suggesting phase-specific functions. We further show that expression of MKI67 is critical for this temporal partitioning. We provide the first proteome-wide analysis of intrinsic protein disorder for the human nucleolus and show that nucleolar proteins in general, and mitotic chromosome proteins in particular, have significantly higher intrinsic disorder level compared to cytosolic proteins. In summary, this study provides a comprehensive and essential resource of spatiotemporal expression data for the nucleolar proteome as part of the Human Protein Atlas.
Computational Analysis of Morphosyntactic Categories in Georgian.

This thesis describes the development of part-of-speech tagging resources for the Georgian language, consisting of i. ) a new morphosyntactic language model for part-of-speech (POS) tagging purposes; ii. ) tagging guidelines for tagging and post-editing; iii. ) the KATAG tagset and iv. ) the trained parameter files the probabilistic TreeTagger program needs to work on Georgian texts. A new morphosyntactic model of Georgian for part-of-speech tagging purposes is described in the thesis. The thesis also describes a tagset (KATAG) defined in accordance with a new morphosyntactic model of the language and a set of design principles and tagging guidelines. A stochastic methodology is used here to perform tagging in Georgian. Namely, the Treetagger - a probabilistic part-of-speech tagging program has been trained on Georgian texts. The justification for this choice is discussed. I use two tokenisation approaches in part-of-speech tagging. An accuracy of 92.41% using an enclitic tokenisation approach and accuracy of 87.13% was achieved using a non-enclitic tokenisation approach, corroborating my hypothesis that treating enclitic elements separately from the host words results in better tagging performance. To make the tagger program easily adaptable for a range of inputs (type, variety or genre of text), the performance of the probabilistic TreeTagger program was evaluated according to the obtained test set consisting of five different genres such as academic, informal, legal, fiction and news.
Penerapan Random Forest untuk Mengukur Tingkat Keparahan Penyakit pada Daun Apel

Tingkat keparahan penyakit pada tanaman merupakan salah faktor penting untuk diketahui sebagai upaya pengendalian hama dan penyakit yang dapat berpengaruh penting dalam perkembangan tanaman. Teknologi pengolahan citra digital ( Digital Image Processing ) saat ini berkembang semakin pesat, salah satunya dalam bidang pertanian. Pada penelitian tugas akhir ini, dilakukan pengukuran tingkat keparahan penyakit pada daun apel dengan menggunakan metode klasifikasi Random Forest. Pengukuran tingkat keparahan penyakit pada daun apel dilakukan dalam beberapa tahapan proses yaitu pra-pengolahan citra, segmentasi citra menggunakan K-means clustering , ekstraksi fitur ukuran, bentuk dan warna pada citra dan yang terakhir klasifikasi menggunakan metode Random Forest. Data citra yang digunakan sejumlah 467 citra daun apel dan menghasilkan kinerja klasifikasi Random Forest dengan akurasi yang menunjukkan bahwa metode Random Forest mampu mengukur tingkat keparahan penyakit pada daun apel dengan akurasi tertinggi pada proses pelatihan sebesar 100% dan nilai akurasi tertinggi pada proses pengujian sebesar 75.3191%.
Review on development of carbon nanotube field emission cathode for space propulsion systems

In recent years, small-size, low-weight aerospace propulsion systems have developed rapidly for space exploration, on-orbit scientific instruments and extra space missions, while additional electron emission devices are commonly required in those propulsion systems. Carbon nanotube (CNT) based field emission cathodes exhibit extraordinary field emission properties and are regarded to be an ideal alternative of conventional thermionic or hollow cathodes. In this study, the authors give an overview of present status of researches on CNT-based electron emission cathodes for utilising as neutralisers or electron sources particularly in space electric propulsion systems, the theory and characteristics of CNT are also illustrated. Furthermore, challenges, problems and possible solutions before actual applications of CNT in a space mission are discussed accordingly.
Geometric dynamic recrystallization of austenitic stainless steel through linear plane-strain machining

ABSTRACT Type 316L austenitic stainless steel was severely plastically deformed at room temperature using linear plane-strain machining in a single pass that imparted shear strains up to 2.2 at strain rates up to 2 × 103 s−1. The resulting microstructures exhibited significant grain size refinement and improved mechanical strength where geometric dynamic recrystallization was identified as the primary microstructural recrystallization mechanism active at high strain rates. This mechanism is rarely observed in low to medium stacking fault energy materials. The critical stress required for twin initiation is raised by the combined effects of refined grain size and the increase in stacking fault energy due to the adiabatic heating of the chip, thus permitting geometric dynamic recrystallization. The suppression of martensite formation was observed and is correlated to the significant adiabatic heating and mechanical stabilisation of the austenitic stainless steel. A gradient of the amount of strain induced martensite formed from the surface towards the interior of the chip. As the strain rate is increased from 4 × 102 s−1–2 × 103 s−1, a grain morphology change was observed from a population of grains with a high fraction of irregular shaped grains to one dominated by elongated grain shapes with a microstructure characterised by an enhanced density of intragranular sub-cell structure, serrated grain boundaries, and no observable twins. As strain rates were increased, the combination of reduction in strain induced martensite and non-uniform intragranular strain led to grain softening where a Hall-Petch relationship was observed with a negative strengthening coefficient of −0.08 MPa m1/2.
Adoption of Total Quality Management in the Educational Sector: Case Study of Engineering Institutions

Due to the aspirations of various institutional stakeholders clamoring for improvement in the quality of education in their various institutions, the concept of total quality management has gained so much attention to this regard. In the recent time, several emphases have been made on the need for quality improvement and efforts are been put in place on the possible ways of increasing the standard of education globally. The productivity of any tertiary institution, especially the Engineering colleges is centered on the quality culture of such institutions, also, the customer’s satisfaction is another thing to put into consideration, to achieve the desired productivity. Generally, there are some constructs which are the major critical success factors that enhances quality improvement in any organization, customer satisfaction has been identified as another important factor to put into consideration to achieve optimum quality of products as well as services. This paper gives an insight on how the implementation of Total Quality Management in an Engineering educational system can aid the Quality of Engineering Education.
Histological Distribution and Characterization of Collagen in European eel (Anguilla anguilla) Muscle

ABSTRACT The histologic structure of eel muscle was observed, and the acid solubilized collagen (ASC) and pepsin solubilized collagen (PSC) from eel muscle were prepared and examined. The collagenous fiber amount in both head and tail seemed to be higher than that in the trunk. The Glu, Asp, Arg, Ala, Leu, and Lys contents accounted for about 54% of total amino acids in the eel muscle. There were no significant differences in the amino acid composition and ultraviolet spectra between ASC and PSC. The molecular weights of α1 subunit in both collagens were 129 and 123 kDa, respectively; but their molecular weights of α2 subunit were 113 kDa. According to peptide mapping analysis, it was found that there were obvious differences in primary structures between ASC and PSC. The amide A band positions of ASC and PSC appeared at 3320 cm−1 and 3312 cm−1 of Fourier transform infrared spectra, respectively. No obvious difference was found in the thermal stability of both collagens, probably due to the synergistic effect of molecular weight and hydrogen bonds.
Comments on “Aqueous-phase methylene blue (MB) dye removal by mixture of eucalyptus bark (EB) biomass and kaolin clay (KC) adsorbents: Kinetics, thermodynamics, and isotherm modeling”

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Comments on ”Aqueous-phase methylene blue (MB) dye removal by mixture of eucalyptus bark (EB) biomass and kaolin clay (KC) adsorbents: kinetics, thermodynamics, and isotherm modeling” Jean-Claude Bollinger