Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimum distribution of seismic energy dissipation devices using neural network and fuzzy inference system

The current study proposes a framework to provide an optimal distribution of energy dissipation devices for low‐ and mid‐rise framed buildings using an artificial neural network (ANN) and fuzzy inference system (FIS). Three illustrative framed buildings to be retrofitted using steel slit dampers are presented to demonstrate the effectiveness of the proposed framework. Two hundred natural earthquake records are used to consider variability in seismic ground motions, and 33,600 nonlinear time history analyses (NLTHAs) are conducted to train the framework. Three engineering demand parameters are used to represent the strength and serviceability requirements concurrently, and the fuzziness of structural limit states is also included within the framework. The framework is fine‐tuned by carrying out sensitivity exercises based on different sample sizes to select the most appropriate training algorithm, activation function, and ANN architecture. After that, the proposed framework is compared with three different supervised machine learning classification algorithms; namely, support vector machine, decision tree, and bagged ensemble. The results show the superiority of the proposed framework compared to the conventional machine learning algorithms in predicting the ranking and obtaining the optimum retrofit scheme for low‐ and mid‐rise framed buildings. Finally, NLTHAs are conducted to validate the results produced by the framework, which are found to be in good agreement with the NLTHAs testing results.
Unexpected Occurrence of Cladosporium spp. on the Inner Surface of the Spathe of the Titan Arum, Amorphophallus titanum

e air-borne distributed genus Cladosporium Link is globally one of the most common fungal genera. By sequencing the barcode marker ITS, here, we document two taxa belonging to this genus – C. cf. dominicanum Zalar, de Hoog & Gunde-Cimerman and C. halotolerans Zalar, de Hoog & Gunde-Cimerman (C. sphaerospermum Penz complex) – which were detected on the inner surface of the spathe of the titan arum, Amorphophallus titanum (Becc.) Becc. (Araceae). Titan arum holds the record for the largest unbranched inflorescence in the plant kingdom, with a height reaching up to 3 meters. e two identified Cladosporium species are part of a clearly defined fungal layer inside the proximal region of the spathe, surrounding the flower-containing region of the spadix. To the best of our knowledge, this is the first record of a macroscopically visible layer of Cladosporium on a living plant material. Furthermore, this study also discusses why this layer occurs only in a spatially restricted region of the spathe, and the possible consequences that the occurrence of these fungi might have on the development and reproduction of the plant.
A Novel Nonlinear Optical Crystal Bi2ZnOB2O6

Sizable single crystals of a nonlinear optical (NLO) material, Bi2ZnOB2O6, were grown by the Kyropoulos method from stoichiometric ratio compound melt. It is a congruent melting compound and crystallizes in the orthorhombic system, space group Pba2. The morphologies and habits of Bi2ZnOB2O6 crystals grown using [100], [010], and [001] seeds were studied. The SHG efficiency of Bi2ZnOB2O6 is 3−4 times that of KDP (KH2PO4). Its birefringence is pretty large (0.085−0.106). The experiments prove that Bi2ZnOB2O6 crystal is nonhygroscopic and excellently deliquescence resistant.
The Drexel Defusion Scale: Reliability and Validity of the Turkish Version

Oz. Bu calismanin amaci, Drexel Ayrisma Olcegi’ni Turkceye uyarlayarak, olcegin gerekli psikometrik ozelliklerini test etmektir. Iki asamada yurutulen bu calisma, iki farkli orneklem grubuyla yapilmistir. Calismanin ilk asamasi olan Acimlayici Faktor Analizi’nin (EFA) test edilmesine 370 (218 kadin, 152 erkek), Dogrulayici Faktor Analizi’nin (DFA) test edilmesine ise 715 (351 kadin, 364 erkek) ogrenci katilmistir. Drexel Ayrisma Olcegi, 6’li dereceleme olceginde (0: Hic; 5: Cok fazla), katilimcilarin verilen bir senaryo uzerinde ne olcude bilissel ayrisma yapabildiklerini derecelendirmelerini isteyen 10 madde ve tek boyuttan olusmaktadir. DFA sonuclari, olcegin tek boyutlu yapisini dogrulamistir. Drexel Ayrisma Olcegi’nin Turkce versiyonunun ic tutarlilik katsayisi (α > .80) ve test-tekrar test guvenirligi (α = .81) yuksek bulunmustur. Bu bulgular isiginda, Drexel Ayrisma Olcegi Turkce versiyonunun gecerli ve guvenilir bir olcme araci olarak kullanilabilecegini soylemek mumkundur.
Personalidad emprendedora, responsabilidad, autocontrol y grit: El lado psicológico del autoempleo

El enfoque psicológico en torno a la actividad emprendedora contribuye a explicar por qué las personas deciden o no emprender. El objetivo del presente estudio es analizar diferentes perfiles de personalidad emprendedora, así como identificar las variables de personalidad que puedan explicar el convertirse en trabajador por cuenta propia. Empleando una muestra de 586 participantes (Medad= 39,31; DTedad= 14,66), se analizaron diferentes perfiles de personalidad emprendedora mediante técnicas de análisis de perfiles latentes. Además, se analizó si había diferencias en otras variables psicológicas en función del perfil de personalidad emprendedora. Finalmente, se estudió, mediante un modelo de ecuaciones estructurales, si la responsabilidad, el autocontrol, el grit y la personalidad emprendedora ayudan a explicar que las personas se conviertan en trabajadores por cuenta propia. Los resultados apoyan la existencia de tres perfiles latentes de personalidad emprendedora (baja, media y alta), siendo el perfil alta personalidad emprendedora el que muestra mayores puntuaciones en otras variables psicológicas, así como mayor proporción de trabajadores por cuenta propia. El modelo de ecuaciones estructurales planteado explica un 2,6% de la varianza de la variable ser trabajador autónomo, por lo que las variables de personalidad ayudan a explicar una pequeña parte de la actividad emprendedora. The psychological approach to entrepreneurial activity helps to explain why people decide or not to undertake. The objective of this study is to analyze different entrepreneurial personality profiles, as well as to identify the personality variables that can explain becoming a self-employer. Using a sample of 586 participants (Mage = 39.31; SDage = 14.66), different entrepreneurial personality profiles were analyzed using latent profile analysis techniques. In addition, it was analyzed whether there were differences in other psychological variables based on the entrepreneurial personality profile. Finally, it was studied, using a structural equation model, if conscientiousness, self-control, grit and entrepreneurial personality help to explain why people become self-employed. The results support the existence of three latent profiles of entrepreneurial personality (low, medium and high), being high entrepreneurial personality the one profile that shows higher scores in other psychological variables, as well as a higher proportion of self-employers. The proposed structural equation model explains 2.6% of the variance of the variable being self-employed, so the personality variables help to explain a small part of entrepreneurial activity.
FLEET—Fast Lanes for Expedited Execution at 10 Terabits: Program Overview

The DARPA FastNICs program targets orders of magnitude improvement in applications such as deep learning training by making radical improvements to network performance: While raw bandwidth has grown dramatically, the fundamental roadblock to application performance has been in delivering that data to the application. fleet provides a primarily off-the-shelf solution with high-end servers and shared computational and storage resources connected via PCIe over a reconfigurable MEMS optical switch; it uses custom Optical NICs to allow arbitrary topologies that can be configured before or even during execution to take advantage of shared resources and to flow data between components. fleet’s software is derived from Stanford Legion, which we are modifying to use the fleet hardware and to plan application execution for these dynamic network topologies.
Parenting Styles, Anxiety and Depressive Symptoms in Child/Adolescent

Abstract. Objective: To analyse the possible direct and interactive associations of sex, age and parenting styles with symptoms of depression and anxiety. Methods: In this cross-sectional study, 710 students ranging from 8 to 13 years (mean age 10.8 years [ 0.75]), the most of them males (n = 422, 59.4%), completed three screening instruments: a parenting practices scale and two self-reports for evaluating anxiety and depressive symptoms. Two hierarchical multiple regression analyses were performed. Results: Authoritative (38.6%) and neglectful (38%) parenting styles were predominant. Symptoms of depression -F (3, 706) = 3.12, p = . 03- and anxiety -F (3, 706) = 2.83, p = . 4- diﬀered by parenting styles. Students with a neglectful parenting style reported signiﬁcant lower generalized anxiety symptoms than those whose parents used authoritative parenting. Clinical implications: Children ages 8 to 13 years-old with authoritative parenting style should be evaluated for possible presence of generalized anxiety symptoms.
Intention of consumers to adopt electric vehicle in the post-subsidy era: evidence from China

Abstract The electric vehicle (EV) industry has been promoted by a series of incentive policy measures in China to reduce both the consumption of petroleum fuels and the emission of greenhouse gases. Nonetheless, the EV market remains small-scale. In this context, the Chinese government initiated a gradual phase-out of EV subsidies in 2018, targeting total elimination by 2022, which is undoubtedly a massive challenge to the EV market. This study proposes an extended theory of planned behavior model, in which psychological factors (attitude, subjective norm, perceived behavioral control and perceived risk) and two categories of incentive policy measures (financial incentive policy and non-financial incentive policy) are integrated to explain intentions to adopt EV use. Moreover, two types of personality (consumer innovativeness and environmental self-identity) are added as moderating variables to assess policy effects based on different personality conditions. Primary data collected from 727 participants in China were used to test the model empirically. The results show that the psychological factors and policy measures in the model significantly influence consumers’ EVs adoption intention, and the personalities of consumers significantly moderate the impacts of policy measures on this adoption intention. The findings help increase understanding of consumers' adoption intentions in respect of EVs and contribute to promoting EV development, especially in the post-subsidy era.
Water Distribution and Silt Clogging in the Strong-Seepage Zone Infiltration Process of Yufuhe River from Yellow River Water Based on the Two-Dimensional Sand Tank Model

A two-dimensional sand tank experiment was designed to explore the mechanism of water distribution and silt clogging of Yellow River water whilst replenishing groundwater in ‘open window’ reach of the piedmont river and strong seepage area consisting of a gravel and karst layer from top to bottom. Water released through the reach was divided into surface, pore and fracture karst water, of which karst water was an effective recharge from the surface water. A reasonable released water plan is necessary in recharging to avoid invalid recharge. The karst water accounted for 60–70% of the amount of water released before clogging, and this value was reduced to approximately 10–20% whilst a thin clay layer formed from suspended particles on the surface layer of the medium after clogging. The removal rate of suspended solids along vertical and lateral directions in the medium can reach over 96%. The retained amount of suspended particles was mainly distributed on the surface and upper layer region of the medium. A rubber dam can improve effective infiltration whilst promoting suspended solid deposition in the medium. The fitting degree of the numerical simulation and measured results was above 0.9, which proves the reliability of the sand tank model results.
Association between home motor affordances and motor skills in daycare and non-daycare attending children

ABSTRACT The present study examined the association between home motor affordances and motor skill development in daycare and non-daycare attending children. The sample consisted of 247 families with children aged 18–42-months. Homes were assessed using the Persian translation of the Affordances in the Home Environment for Motor Development-Self-Report (AHEMD), and motor skills were evaluated with the Test of Gross Motor Development – 2 (TGMD-2). Results indicated that the daycare group revealed higher AHEMD scores in Inside Space, Fine- and Gross-Motor Toys, whereas the non-daycare children obtained high scores in Variety of Stimulation. There was also a significant relationship between the two groups for motor skills. The level of affordances in the home and motor skill development were higher for the daycare group. In summary, compared to children that did not attend daycare, the homes of children that attended daycare were provided more motor affordances, opportunities, and advantages with the potential to improve motor development.
PERANCANGAN APLIKASI AKUNTANSI PENERIMAAN DAN PENGELUARAN KAS BERBASIS WEB

Cash plays a very important role in all transaction activities, cash is an asset that is easily exchanged, so that abuse and fraud often occur. Due to the characteristics of cash, cash receipts and payments require a good accounting information system control. STMIK Rosma in the process of recording cash receipts and disbursements using Microsoft Excel applications such as compiling combined cash reports, the user must input data one by one in the Microsoft Excel column which requires accuracy so that there is no input or addition error. This study aims to improve the process of recording cash receipts and payments to make it more computerized. The method used in this research is SDLC (System Development Life Cycle) with a waterfall approach model which begins with system analysis, system design and system implementation which includes programming and testing. The system is designed using visual studio code as a text editor, MySQL as a database and PHP as a programming language. The result of this research is a web-based cash receipts and disbursement accounting application design which is expected to facilitate cash management to be more effective and efficient.
An IoT-Based Traceability Platform for Wind Turbines

In recent years, the application of traceability systems in the food and drug industry has developed rapidly, but it is rarely used for wind turbines. From the aspects of low information transparency and information islands in the supply chain process for wind turbines, a reliable traceability system is essential. However, the existing traceability systems are not suitable to be directly applied to wind turbines. Consequently, according to the characteristics of the wind power industry, a semi-centralized traceability architecture based on Internet of Things technology was proposed. Furthermore, a traceability platform was constructed by analyzing the information collected in each stage related to various user needs of wind turbines, and various applications, including manufacturing management and spare parts management, were developed. Compared with the existing systems, the proposed platform was wind-turbine-oriented, effectively improved traceability efficiency and enterprises’ information security, and extended the length of the traceability chain by integrating the after-sales information. The traceability of key components of wind turbines during their life cycle provides a useful reference for further improving the parts quality management system of the wind power industry.
The MicroRNA Landscape of Acute Beta Cell Destruction in Type 1 Diabetic Recipients of Intraportal Islet Grafts

Ongoing beta cell death in type 1 diabetes (T1D) can be detected using biomarkers selectively discharged by dying beta cells into plasma. microRNA-375 (miR-375) ranks among the top biomarkers based on studies in animal models and human islet transplantation. Our objective was to identify additional microRNAs that are co-released with miR-375 proportionate to the amount of beta cell destruction. RT-PCR profiling of 733 microRNAs in a discovery cohort of T1D patients 1 h before/after islet transplantation indicated increased plasma levels of 22 microRNAs. Sub-selection for beta cell selectivity resulted in 15 microRNAs that were subjected to double-blinded multicenter analysis. This led to the identification of eight microRNAs that were consistently increased during early graft destruction: besides miR-375, these included miR-132/204/410/200a/429/125b, microRNAs with known function and enrichment in beta cells. Their potential clinical translation was investigated in a third independent cohort of 46 transplant patients by correlating post-transplant microRNA levels to C-peptide levels 2 months later. Only miR-375 and miR-132 had prognostic potential for graft outcome, and none of the newly identified microRNAs outperformed miR-375 in multiple regression. In conclusion, this study reveals multiple beta cell-enriched microRNAs that are co-released with miR-375 and can be used as complementary biomarkers of beta cell death.
A novel adaptive code block group hybrid automatic repeat request scheme for low earth orbit satellite networks

Low earth orbit (LEO) satellite networks provide important support to expand 5G‐and‐beyond networks to realize global coverage. Hybrid automatic repeat requests (HARQs) can greatly improve the reliability of transmission through dynamic satellite channels. Due to the large propagation delay in LEO satellite channels, the biggest challenges of HARQ in satellite networks are the delayed channel state information (CSI) and overflow of receiver memory. In this paper, we propose a novel adaptive code block group HARQ (ACBG‐HARQ) scheme that achieves lower retransmission rates with reliable data receiving. First, we build a new channel state model (CSM) to describe the relationship between the packet error rate (PER) and global channel degradation. Three states of receiver memory allocation for HARQ are designed with respect to the channel state and memory occupation: idle state, non‐full state, and full state. Then, we propose an optimal HARQ scheme for LEO satellite networks with the Markov decision process (MDP) based on the fuzzy Q‐learning (FQL) algorithm to improve the accuracy of ACBG‐HARQ state transfer, which contributes to adaptive selection of the HARQ code block group size. Simulation results show that the ACBG‐HARQ scheme can achieve a maximum spectrum efficiency gain of 10% and that the probability of receiver memory overflow is reduced by 1%∼6%.
Phytochemical Analysis, HPLC Profiling and Anti-oxidant Potential of Euphorbia nivulia Buch.-Ham

Euphorbia nivulia (EN) one of the members of Euphorbiaceae family, is a medicinal plant of Cholistan Desert (Punjab, Pakistan) that is traditionally used for a number of diseases. The plant is Original Research Article Younus et al.; JPRI, 33(27A): 58-67, 2021; Article no.JPRI. 67778
A 10-year Longitudinal Study of Social Media Use in Education

Students, as digital natives, are fascinated by social media as they use it in their everyday lives. However, not only opportunities but also challenges for education have arisen with the new bottom-up approach of using social media for educational purposes. In order to investigate different aspects of social media adoption and use in higher educational learning environments, a longitudinal study starting in 2010 was conducted. This paper summarizes and analyzes our findings based on several studies with quantitative and qualitative data collected and presented in 16 different articles throughout the last decade. Based on our results, we reached the conclusion that when there is proper infrastructure, appropriate strategies are applied, security and privacy are of high priority and teachers become accustomed to using modern technologies, social media can be used as an effective educational tool which improves the overall educational process and learning outcomes. Specifically, by using social media in a creative and student-centered manner in educational settings, students’ engagement, motivation, interactivity, soft skills, communication and collaboration are promoted and improved. Finally, social media can be used as a means to help create virtual communities in which students will be able to exchange ideas, opinions and knowledge in both academic and extracurricular environments, mature and flourish. The aim of this ongoing longitudinal study is to enhance teachers’ comprehension of social media and its use as an educational tool to create interactive learning environments for students of various disciplines in geographically and culturally distributed environments.
Bifunctional Brønsted–Lewis solid acid as a recyclable catalyst for conversion of glucose to 5-hydroxymethylfurfural and its hydrophobicity effect

A novel polydivinylbenzene polymeric material containing water-tolerant SO2NHSO2C4F9 with 2 equivalents of Cr(III) was explored as a catalyst of the one-pot conversion of glucose to 5-hydroxymethylfurfural (HMF) in a biphasic system. Stable 59–57% yields of HMF were achieved throughout 12 cycles over the bifunctional material. Dynamic analysis showed that Cr(III) essentially promoted the isomerization process of glucose to fructose. The material featured integral hydrophobicity, which, with the water-tolerance of SO2NHSO2C4F9, contributed to its excellent recyclability.
Oh my darling clementine: heterogeneous preferences for sustainable citrus fruits

The current study assesses consumer preferences toward different production methods of clementines (Citrus clementina). Based on a survey of Italian urban individuals (N = 345), responsible for household food purchases, it investigates whether clementines produced by means of integrated farming system are perceived as a desirable alternative to organic and conventional fruits. A conjoint analysis was applied to estimate the mean relative importance of three different clementine attributes (namely, price, production method and presence of a geographical indication) and consumer utility attached to the different attribute levels. Results revealed price as the most important attribute; while only organic farming provided positive utility to consumers. Subsequently, the sample was clustered into four distinct market segments based on part-worth estimates, offering useful insights for practitioners and policy makers to design tailor-made interventions aimed at fostering sustainable clementines consumption.