Miracle-dz/UniFAR-FTUs huggingface dataset:
Experimental Study on Impact Force Identification on a Multi-Storey Tower Structure Using Different Transducers

This paper presents the identification of both location and magnitude of impact forces applied on different positions of a multi-storey tower structure using different types of transducers, i.e., an accelerometer, a laser Doppler vibrometer, and a triangulation displacement sensor. Herein, a model-based inverse method is exploited to reconstruct unknown impact forces based on various recorded dynamic signals. Furthermore, the superposition approach is employed to identify the impact location. Therein, it is assumed that several impact forces are applied simultaneously on potential locations of the multi-storey tower structure, while only one impact has non-zero magnitude. The purpose is then to detect the location of that non-zero impact. The influence of using different hammer tip materials for establishing the transfer function is investigated, where it is concluded that the hammer with a harder tip leads to a more accurate transfer function. An accuracy error function is proposed to evaluate the reconstruction precision. Moreover, the effect of sensor type and location on the accuracy of the reconstruction is studied, where it is shown that the proximity between the impact and sensor locations is a dominant factor in impact force reconstruction. In addition, the efficacy of using different transducers is studied for the impact localization, where it is demonstrated that reducing the degree of under-determinacy by using a combination of system responses of the same type can improve the localization accuracy.
Role of Learning Analytics to Evaluate Formative Assessments: Using a Data Driven Approach to Inform Changes in Teaching Practices

: One of the most challenging tasks for faculty in their role as a teacher is to design, administrate, and evaluate formative assessments. This results in a lot of faculty not utilizing the formative assessments as a form of student feedback and make regular changes to the course. In this study, we explore the role of technology in helping faculty implement and analyze formative assessments. We believe the advancement of technology and its increasing applications in education may result in development of novel solutions to this impediment through learning analytics. This paper explores the use of such data analytics to address the challenges impeding the capacity of instructors to provide personalized feedback at scale. The study was implementing in the Computer Science and Engineering Department where a group of faculties who teach undergraduate engineering students. The faculty designed and administered a set of formative assessments in multiple courses through the learning management system. The data collected from the formative assessments was analyzed using learning analytics and the results were used to provide actionable recommendations that could better support students to achieve the learning outcomes of the course. The data was analyzed to understand and optimize the learning process of the students in the course. The results of the paper will provide insights to engineering educators on how they could take a data driven approach and harness the power of technology to better support their students. This approach will also help direct students towards deeper and self-regulated learning.
Autosomal-dominante polyzystische NierenerkrankungManagement im Kindes- und Jugendalter

ZUSAMMENFASSUNG Die autosomal-dominante polyzystische Nierenerkrankung (ADPKD) ist die häufigste genetische Ursache einer dialysepflichtigen chronischen Nierenerkrankung. Die ADPKD wird in den meisten Fällen durch Varianten in zwei Genen versursacht und ist typischerweise klinisch charakterisiert durch einen langsam fortschreitenden zystisch-fibrotischen Umbau der Nieren mit verschiedenen extrarenalen Manifestationen. Symptome werden oft erst im Erwachsenenalter bemerkt, der Prozess der Zystenbildung in der Niere beginnt aber bereits im Kindes- und Jugendalter. Für erwachsene Patienten mit rasch fortschreitender Erkrankung konnte eine erste zielgerichtete pharmakologische Therapie etabliert werden, welche allerdings mit substantiellen Nebenwirkungen einhergeht. Für Kinder- und Jugendärzte ist es daher wichtig, ein ausgewogenes Maß zwischen wachsamer Beobachtung und Diagnostik einer Erkrankung zu finden.
Student engagement profiles in vocational education and training: a longitudinal study

ABSTRACT This study aims to explore how student engagement evolves during vocational education and training. A qualitative longitudinal study was carried out; 12 students were interviewed once a year during their three-year education. A qualitative content analysis was performed and three different student engagement profiles were identified. The findings highlight that student engagement is supported by interest and enthusiasm for the curriculum, strong connectedness to other students, and suitable ways to learn and study. However, one of the key findings of this study is that not all adolescents have a strong passion for their field of study. Many reported that there was nothing else interesting to study and that they were hoping for their field to become more interesting. In addition, the results indicate that connectedness and students’ emotional experience of education powerfully shape their view of their overall educational experience.
Leakage-Resilient Secret Sharing With Constant Share Size

In this work, we consider the leakage-resilience of algebraic-geometric (AG for short) codes based ramp secret sharing schemes extending the analysis on the leakage-resilience of linear threshold secret sharing schemes over prime fields that is done by Benhamouda et al. in the effort to construct linear leakage-resilient secret sharing schemes with constant share size. Since there does not exist any explicit efficient construction of AG codes over prime fields with constant field size, we consider constructions over prime fields with the help of concatenation method and constructions of codes over field extensions. Extending the Fourier analysis done by Benhamouda et al., one can show that concatenated algebraic geometric codes over prime fields do produce some nice leakage-resilient secret sharing schemes. One natural and curious question is whether AG codes over extension fields produce better leakage-resilient secret sharing schemes than the construction based on concatenated AG codes. Such construction provides several advantage compared to the construction over prime fields using concatenation method. It is clear that AG codes over extension fields give secret sharing schemes with a smaller reconstruction threshold for a fixed privacy parameter $t$ . In this work, it is also confirmed that indeed AG codes over extension fields have stronger leakage-resilience under some reasonable assumptions. Furthermore, we also show that AG codes over extension fields may provide strong multiplicative property which may be used in its application to the study of multiparty computation. In contrast, the same cannot be said for constructions based on concatenated AG codes, even when we are considering multiplication friendly embeddings. These advantages strongly motivate the study of secret sharing schemes from AG codes over extension fields. The current paper has two main contributions: (i) we obtain leakage-resilient secret sharing schemes with constant share sizes and unbounded numbers of players. Some of the schemes constructed without the use of concatenation also possesses strong multiplicative property (ii) via Fourier Analysis, we analyze the leakage-resilience of secret sharing schemes from codes over extension fields. This is of its own theoretical interest independent of its application to secret sharing schemes from algebraic geometric codes over extension fields.
Sequence Structure Has a Differential Effect on Underlying Motor Learning Processes

Current methods to understand implicit motor sequence learning inadequately assess motor skill acquisition in daily life. Using fixed sequences in the serial reaction time task is not ideal as participants may become aware of the sequence, thereby changing the learning from implicit to explicit. Probabilistic sequences, in which stimuli are linked by statistical, rather than deterministic, associations can ensure that learning remains implicit. Additionally, the processes underlying the learning of motor sequences may differ based on sequence structure. Here, the authors compared the learning of fixed and probabilistic sequences to randomly ordered stimuli using a modified serial reaction time task. Both the fixed and probabilistic sequence groups exhibited learning as indicated by decreased response time and variability. In the initial stage of learning, fixed sequences exhibited both online and offline gains in response time; however, only the offline gain was observed during the learning of probabilistic sequences. These results indicated that probabilistic structures may be learned differently from fixed structures and have important implications for our current understanding of motor learning. Probabilistic sequences more accurately reflect motor skill acquisition in daily life, offer ecological validity to the serial reaction time framework, and advance our understanding of motor learning.
Language Choices and its Effect in a Culturally Diversified Nigeria Business Places: Adopting Giles’ Communication Accommodation Theory

The research aims at investigating inclusion strategies in Nigeria business places by taking a look at the way buyers and sellers use language while engaging in business transactions and the effect it has in the whole dealings. This is especially as they have diverse choices before them. Giles’ Communication Accommodation Theory (CAT) which addresses convergence and divergence is used as a theoretical framework to reveal the socio-pragmatic elements in the discourse of a multi-cultural Nigeria business places. The research tries to see how inclusiveness is achieved in the face of diversity. Findings reveal that several languages come in contact with one another, including English, Yoruba, Pidgin, Igbo and Hausa in the market transactions in Nigeria. Participants employ various bargaining and pragmatic strategies which include greetings, humour, cajoling, flattery, pleading as well as code-switching and code-mixing. The study helps to establish that both buyers and sellers want to be at an advantage and use languages that accommodate the other party, despite their social, religious, cultural or ethnic differences. Texts were recorded from business places in Nigeria and these include banks, urban markets, and communication outlets. The texts were later transcribed and analysed. While the vendors create room for accommodation as a persuasive strategy, customers do so to get a good bargain for what they want to buy or some other favour from the vendors.
Association between the Use of Touchscreen Device and Child Development

Introduction: Early childhood development is related to sensitive period, a spesific period when a child is more easily stimulated by certain environmental stimulation. The right stimulation is needed to achieve good development. The intense use of touchscreen device is thought to potentially be a new form of stimulation that could affect child development. The aim of this study was to determine whether there is an association between the use of touchscreen device and child development. Methods: The design of this study was observational analytic with cross-sectional approach. The sampling technique used in this study was cluster-sampling. Data collection was finished in October 2018 by interviewing the respondents and assessing child development using development pre-screening questionnaire (KPSP). Results: Among 91 samples of this study, the majority (78.0%) had actively operated touchscreen devices by themselves. The result of the Kruskal Wallis test gave a value of p = 0.398 (p > 0.05) with the mean rank of not at all 29.50; only watching 48,53; and operating 46.09. Conclusion: The use of touchscreen device is not significantly associated with children development. Further research needs to be conducted to uncover the effect of touchscreen device on child development.
Assessing the level of awareness of smart building technologies (SBTs) in the developing countries

Purpose The purpose of this paper is to investigate the awareness level of smart building technologies (SBTs) among construction professionals in developing countries such as Ghana, and identify the key factors that have the significant capability of influencing the awareness level significantly. Design/methodology/approach Data were collected through questionnaire survey from 227 construction design team and project managers in the Ghanaian construction industry. Descriptive analysis and multivariate analysis using multiple regression were used to analyze the data. Findings Averagely low level of SBTs awareness was observed to exist among professionals in the construction industry of Ghana. The study further revealed “training programs” by organizations and “individual knowledge” as the key factors capable of significantly influencing the level of SBTs awareness in the construction industry of developing countries, particularly Ghana. Practical implications This paper identified training programs by organizations and individual knowledge as the two key factors having significant capability of influencing the SBTs awareness in the construction industry of developing countries such Ghana. The two factors can be incorporated in policymaking process via considerations to help create SBTs awareness, such as encouragement of continuous professional development toward smart building concept in relation to construction sustainability. Originality/value This study conceptualizes from a systematic professional perspective and provides empirical evidence on the key significant factors capable of influencing the awareness of SBTs in the developing countries such as Ghana.
Massive black hole binaries and where to find them with dual detector networks

A single space-based gravitational wave detector will push the boundaries of astronomy and fundamental physics. Having a network of two or more detectors would significantly improve source localization. Here we consider how dual networks of space-based detectors would improve parameter estimation of massive black hole binaries. We consider two scenarios: a network comprised of the Laser Interferometer Space Antenna (LISA) and an additional LISA-like heliocentric detector (e.g. Taiji); and a network comprised of LISA with an an additional geocentric detector (e.g. TianQin). We use Markov chain Monte Carlo techniques and Fisher matrix estimates to explore the impact of a two detector network on sky localization and distance determination. The impact on other source parameters is also studied. With the addition of a Taiji or TianQin, we find orders of magnitude improvements in sky localization for the more massive MBHBs, while also seeing improvements for lower mass systems, and for other source parameters.
Hodge Theory of Holomorphic Vector Bundle on Compact Kähler Hyperbolic Manifold

Let $E$ be a holomorphic vector bundle over a compact Kähler manifold $(X,\omega )$ with negative sectional curvature $sec\leq -K<0$ and $D_{E}$ be the Chern connection on $E$. In this article, we show that if $C:=|[\Lambda ,i\Theta (E)]|\leq c_{n}K$, then $(X,E)$ satisfy a family of Chern number inequalities. The main idea in our proof is to study the $L^{2}$ $\bar {\partial }_{\tilde {E}}$-harmonic forms on lifting bundle $\tilde {E}$ over the universal covering space $\tilde {X}$. We also observe that there is a close relationship between the eigenvalue of the Laplace–Beltrami operator $\Delta _{\bar {\partial }_{\tilde {E}}}$ and the Euler characteristic of $X$. Precisely, if there is a line bundle $L$ on $X$ such that $\chi ^{p}(X,L^{\otimes m})$ is not constant for some integers $p\in [0,n]$, then the Euler characteristic of $X$ satisfies $(-1)^{n}\chi (X)\geq (n+1)+\lfloor \frac {c_{n}K}{2nC} \rfloor $.
Morphological description of Cyrtopleura costata (Bivalvia: Pholadidae) from southern Brazil

The aim of the study is to describe in detail, for the first time, the internal and external anatomy of Cyrtopleura costata, which displays ellipsoid and elongated valves with beige periostracum, the anterior adductor muscle unites the valves in the pre-umbonal region, with abduction capacity in its dorsal half, sparing the ligament. Two accessory valves are identified: the mesoplax (calcified) located in the umbonal region; and the protoplax (corneus) above the anterior adductor muscle. Internally there is a pair of well-developed apophysis that supports the labial palps and the pedal muscles, and support part of the gills. The posterior half of mantle ventral edge is fused and richly muscular, working as auxiliary adductor muscle. The siphons are completely united with each other, the incurrent being larger than the excurrent. The foot is small (about ⅛ the size of the animal). The kidneys extend laterally on the dorsal surface, solid, presenting a brown/reddish color. The style sac is well developed and entirely detached from the adjacent intestine. The intestine has numerous loops and curves within the visceral mass. The fecal pellets are coin-shaped. The present study certainly may be used as comparative scenario for specimens from other regions of the species range.
Cycling of mercury in the environment: Sources, fate, and human health implications: A review

ABSTRACT Mercury (Hg) is ubiquitary, naturally enriched in volcanic regions, and has wide applications in science, industry, and agriculture. Recently, the increasing awareness of Hg toxicity has led to the replacement of Hg in many areas; however, anthropogenic activities such as coal burning and smelting of metal ores continue to release large amounts of Hg into the environment. In particular, the atmospheric distribution of the highly volatile Hg around the globe can result in the pollution of pristine regions without local emission sources. The chemical speciation of Hg determines its mobility and toxicity; in flooded soils and sediments, microbial methylation can occur. Bioaccumulative (mono)methylmercury (MeHg; CH3Hg+) can affect human health particularly via the consumption of contaminated fish and rice since methylmercury is a potent neurotoxin. Also, elemental Hg vapor is harmful for the central nervous system, while inorganic Hg compounds primarily affect the kidney. This review summarizes recent knowledge on the behavior of Hg in soils and sediments as well as in other environmental elements including implications on human health and discusses future research needs.
ANALISIS PENGHINDARAN RISIKO PADA KEPUTUSAN INVESTASI DI PASAR MODAL INDONESIA

Decision making in the capital market is not always rational. It is due to the emotional involvement of investors, which is described through financial behavior. Investor decision making based on financial behavior is considered as a loss aversion contained in prospect theory. In this theory, the prospect of risk aversion behavior when the market is profitable, but this behavior becomes an obstacle for investors to get higher returns. This study aimed to analyze the risk avoidance behavior that limits investment decision making in Indonesian stock investors. Primary data were obtained from individual investor transactions on the IDX, and secondary data were in the form of daily stock data. Identification of risk aversion was carried out using a non-linear regression method. The measurement of psychological resistance was carried out through an independent sample t-test by measuring the difference between actual and expected returns. The results showed that Indonesia's capital market investors have a risk-averse behavior in the gain domain and risk-seeking in the loss domain. Risk-averse behavior could reduce investment productivity. Keywords: behavioral finance, decision-making, prospect theory, return, risk averse
Predictive Growth Model of Indigenous Green Microalgae (Scenedesmus sp. UKM9) in Palm Oil Mill Effluent (POME)

Microalgae cultivation in POME treatment to removed environmental pollutants synchronized with biomass production. Biomass production depends on the proliferation rate of microalgae in wastewater, which is rarely addressed. Thus, growth rate assessment was performed on a local strain of Scenedesmus sp. UKM9 by using four different mathematical models of logistic, modified logistic, modified Gompertz, and Baranyi-Roberts. Statistical analyses, including root-mean-square error (RMSE), R2, adjusted R2, bias factor (BF), accuracy factor (AF), and standard error prediction (%SEP) were applied to verify the accuracy of each model. The findings illustrated that the Baranyi-Roberts model had the highest AF of 1.000, the lowest RMSE and %SEP values of 0.1300 and 5.40%, respectively, and the predicted BF value was 1.0001. These results revealed that the model was relevant to complex environmental conditions, and its parameter was biologically interpretable. The Baranyi-Roberts model regards a suitable model for the growth of indigenous microalgae of Scenedesmus sp. UKM9 in POME.
“Clickase” Single-Chain Nanoparticles: Effect of Intra-Chain Distribution of Catalytic Sites on Catalytic Activity

“Clickase” single-chain nanoparticles (Ck-SCNPs) are folded, enzyme-mimetic unimolecular polymeric nano-objects containing copper (Cu) ions able to catalyze the azide-alkyne Huisgen cycloaddition reaction in water and/or selected organic solvents, often in the presence of a reductant. Herein, we investigate the effect of morphology on catalytic activity of Ck-SCNPs synthesized by means of two different routes. An amphiphilic random copolymer composed of oligo(ethylene glycol) methyl ether methyl methacrylate (OEGMA) and 2-acetoacetoxy ethyl methacrylate (AEMA) units was used as precursor of these Ck-SCNPs. Folding was promoted through metal complexation between Cu(II) ions and beta-ketoester-containing AEMA moieties. The first route resulted in Ck-SCNPs1 containing Cu ions homogeneously distributed within each nanoparticle, whereas the second one promoted intra-chain clustering of Cu ions inside Ck-SCNPs2. A model fluorogenic “click” reaction between 9-(azidomethyl)anthracene and phenylacetylene, which was catalyzed either by Ck-SCNPs1 or Ck-SCNPs2, was used to unravel the effect of morphology on catalytic activity. This work paves the way to improve the catalytic activity of metallo-folded SCNPs through control of the intra-chain distribution of catalytic sites.
Long-term ice-rich permafrost coast sensitivity to air temperatures and storm influence: lessons from Pullen Island, Northwest Territories, Canada

Response of erosive mechanisms to climate change is of mounting concern on Beaufort Sea coasts, which experience some of the highest erosion rates in the Arctic. Collapse of intact permafrost blocks and slumping within sprawling retrogressive thaw complexes are two predominant mechanisms that manifest as cliff retreat in this region. Using aerial imagery and ground survey data from Pullen Island, Northwest Territories. , Canada, from 13 time points between 1947 and 2018, we observe increasing mean retreat rates from 0 ± 4.8 m a−1 in 1947 to 12 ± 0.3 m a−1 in 2018. Mean summer air temperature was positively correlated with cliff retreat over each time step via block failure (r2 = 0.08; p = 0.5) and slumping (r2 = 0.41; p = 0.05), as was mean storm duration with cliff retreat via block failure (r2 = 0.84; p = 0.0002) and slumping (r2 = 0.34; p = 0.08). These data indicate that air temperature has a greater impact in slump-dominated areas, whereas storm duration has greater control in areas of block failure. Increasingly, heterogeneous cliff retreat rates are likely resulting from different magnitudes of response to climate trends depending on mechanism, and on geomorphological variations that prescribe occurrences of retrogressive thaw slumps.