Miracle-dz/UniFAR-FTUs huggingface dataset:
METODE SELF HEALING DALAM KITAB MINHAJUL ‘ABIDIN IMAM AL GHAZALI

Ujian merupakan keniscayaan dalam hidup setiap manusia, ujian akan selalu melekat pada seseorang sedari lahir ke dunia hingga ia menemui ajalnya. Datangnya cobaan kepada kita inilah yang akan dirasakan sebagai suatu stres (tekanan) dalam diri. Stres memiliki tingkat yang berbeda pada setiap individu, hal ini dipengaruhi oleh pemaknaan individu tersebut terhadap pemicu stres dan bagaimana coping yang dilaukan oleh individu tersebut. Salah satu coping yang efektif untuk dilakukan adalah self healing. Penelitian ini merupakan penelitian kepustakaan terhadap kitab Minhajul ‘Abidin karya Imam Al Ghazali. Adapun temuan dari penelitian yang dilakukan adalah: terdapat tujuh tahap self healing terstruktur dalam mengatasi stres dalam kitab Minhajul ‘Abidin Imam Al Ghazali, yaitu mengenal diri, menerima diri, mawas diri, melepaskan, merefleksikan dan bersyukur
Construction project performance: the role of client knowledge and procurement systems

Purpose This study aims to investigate whether clients’ knowledge about construction procurement systems influence project performance objectives and the role of procurement systems on project performance objectives in South Africa. Design/methodology/approach Using a two-round survey, 90 usable questionnaires from construction professionals in South Africa plus 3 expert clients were collected. The data were analysed using descriptive statistics – means, percentages and the analytical hierarchy process to determine the rank of client project performance criteria, while inferential statistics – Pearson product-moment correlation was used in establishing the relationship between the level of clients’ knowledge and project performance. Findings It was found that the common procurement systems used are traditional, followed by management-oriented and integrated procurement systems. In addition, it emerged that client’s knowledge of procurement systems shows a positive relationship with the achievement of project performance objectives. Based on these findings, it is concluded that some procurement systems being selected by clients in South Africa are inappropriately selected. This is despite the emergence of more efficient procurement systems. If procurement systems are selected based on the knowledge of the client, it will give better chances of a successful project outcome. Practical implications The research suggests the need for clients to seek ways to improve their understanding or increase their knowledge of procurement systems in construction. Policymakers’ responsibilities in driving policies that will place responsibilities on clients to seek a reasonable way to improve their knowledge where possible is implied in the study. Originality/value It contributes to improving project performance by examining whether the level of knowledge possessed by a client influences project performance.
An Imbalance Modified Convolutional Neural Network With Incremental Learning for Chemical Fault Diagnosis

Fault diagnosis that identifies the root of the abnormal status is of great importance to eliminate faults in the complex chemical processes. Many data-driven fault diagnosis models ignore different faults that occur with varied frequencies in chemical plants, and they need a complete retraining process with the arrival of new fault modes. In this article, a novel incremental imbalance modified convolutional neural network is proposed to solve the aforementioned issues. The proposed method employs an imbalance modified method to extract the valuable information from the imbalance data, and generate new samples. After that, a local hyperplane-based dynamic Relief is designed to reduce the dimension of the chemical data and simplify the complex learning process. Finally, for the arrival of new fault modes, the proposed method is prompted in an incremental hierarchical way. Unlike the traditional models that are trained on static data, the proposed method inherits the existing knowledge and updates itself to include new coming fault classes. The proposed method is utilized in a simulated process and a real industrial process. Experimental results illustrate that the proposed method is better than the existing methods and has significant robustness and reliability in chemical fault diagnosis.
Survey of IoT for Developing Countries: Performance Analysis of LoRaWAN and Cellular NB-IoT Networks

Recently, Internet of Things (IoT) deployments have shown their potential for aiding the realisation of the Sustainable Development Goals (SDGs). Concerns regarding how the IoT can specifically drive SDGs 6, 11 and 9 in developing countries have been raised with respect to the challenges of deploying licensed and unlicensed low-power wide area network (LPWAN) IoT technologies and their opportunities for IoT consumers and service providers. With IoT infrastructure and protocols being ubiquitous and each being proposed for different SDGs, we review and compare the various performance characteristics of LoRaWAN and NB-IoT networks. From the performance analysis of our networks, NB-IoT, one of the standardised promising cellular IoT solutions for developing countries, is more expensive and less energy-efficient than LoRaWAN. Utilising the same user equipment (UE), NB-IoT consumed an excess of 2 mAh of power for joining the network and 1.7 mAh more for a 44-byte uplink message compared to LoRaWAN. However, NB-IoT has the advantage of reliably and securely delivering higher network connection capacity in IoT use cases, leveraging existing cellular infrastructure. With a maximum throughput of 264 bps at 837 ms measured latency, NB-IoT outperformed LoRaWAN and proved robust for machine-type communications. These findings will help IoT consumers and service providers understand the performance differences and deployment challenges of NB-IoT and LoRaWAN and establish new research directions to tackle IoT issues in developing countries. With Nigeria as a case study, for consumers and organisations at a crossroads in their long-term deployment decisions, the proposed LPWAN integrated architecture is an example of the deployment opportunities for consumer and industrial IoT applications in developing countries.
EFFECT OF BRISK WALKING WORKPLACE PROGRAMME ON CARDIORESPIRATORY FITNESS IN YOUNG MEN WITH CARDIOVASCULAR RISKS

Community-based health programmes at workplace involves planning, implementation and evaluation with the aim of empowering employees to gain control over their health. Brisk walking was a form of exercise that was acceptable to most people and may be integrated easily into daily routine. The aim of this study was to evaluate the improvement of cardiorespiratory fitness (CRF) through a pedometerbased walking programme at the workplace. A total of 70 young men who were sedentary, achieving less than 5,000 steps/day in casual walking with 2 or more cardiovascular risk factors were recruited. Subjects were randomly assigned to a control (CG) (n=34; no change in walking) and pedometer group (PG) (n=36; minimum target: 8,000 steps/day). Blood lipid profile, anthropometric and CRF were measured at baseline and after 12 weeks. At post intervention, the PG increased step count and results for lipid and anthropometrics variables were significantly improved for time and group effect (p<0.001). In PG, the CRF was significantly increased for time and effect (p<0.01) for VO2peak from 31.54 ± 9.66 to 40.15± 9.55(ml/kg/min but no change in CG (31.46 ± 6.15 vs 31.60 ± 8.99 ml/kg/min). The walking programme improved health status in terms of improving biophysical profiles and cardiorespiratory fitness.
Program Synthesis with Live Bidirectional Evaluation

We present an algorithm for completing program sketches (partial programs, with holes), in which evaluation and example-based synthesis are interleaved until the program is complete and produces a value. Our approach combines and extends recent advances in live programming with holes and type-and-example-directed synthesis of recursive functions over algebraic data types. Novel to our formulation is the ability to simultaneously solve interdependent synthesis goals --- the key technique, called live bidirectional evaluation, iteratively solves constraints that arise during "forward" evaluation of candidate completions and propagates examples "backward" through partial results. We implement our approach in a prototype system, called Sketch-n-Myth, and develop several examples that demonstrate how live bidirectional evaluation enables a novel workflow for programming with synthesis. On benchmarks used to evaluate a state-of-the-art example-based synthesis technique, Sketch-n-Myth requires on average 55% of the number of examples (even without sketches) by overcoming the example trace-completeness requirement of previous work. Our techniques thus contribute to ongoing efforts to develop synthesis algorithms that can be deployed in future programming environments.
Cyberneticisation as a Theory and Practice of Matter

The ecological implementation of cybernetic ideas in architecture requires a material theory and practice that enables their propositions to be tested. The need for approaches that move from simulation to cybernetic reality is a documented limitation of cybernetics recognised by Stafford Beer with his pond ecology experiments and Gordon Pask through electrochemical devices. While both experimented with adaptive material platforms as embodiments of designed cybernetic systems, their approaches were limited by the available toolsets. This article considers an ecological trajectory of cybernetisation by revisiting notions of biological computation as a generative material practice. In particular, the growing fields of biodesign and living architecture go beyond notions of biological analogues that inform modern architecture by directly incorporating living systems into the very fabric of buildings as designed expressions of ecology.
Optimizing the JSM Program

Abstract Sometimes the Joint Statistical Meetings (JSM) is frustrating to attend, because multiple sessions on the same topic are scheduled at the same time. This article uses seeded latent Dirichlet allocation and a scheduling optimization algorithm to very significantly reduce overlapping content in the original schedule for the 2020 JSM program. Specifically, a measure based on total variation distance that ranges from 0 (random scheduling) to 1 (no overlapping content) finds that the original schedule had a score of 0.058, whereas our proposed schedule achieved a score of 0.371. This is a huge improvement that would (i) increase participant satisfaction as measured by the post-JSM satisfaction survey, and (ii) save the American Statistical Association significant money by obviating the need for the traditional in-person meeting of the 47 program chairs and other organizers. The methodology developed in this work immediately applies to future JSMs and is easily modified to improve scheduling for any other scientific conference that has parallel sessions.
Move like everyone is watching: Social context affects head motion and gaze in string quartet performance

Ensemble musicians engage with each other visually through glances and body motion. We conducted a case study to test how string quartet musicians would respond to playing conditions that were meant to discourage or promote visually communicative behaviour. A quartet performed in different seating configurations under rehearsal and concert conditions. Quantity of head motion was reduced when musicians' gaze was constrained. Differences in gaze and body motion between musicians reflected their musical roles in the ensemble. Overall, our findings suggest that gaze and motion dynamics vary within and between performances in response to changing musical, situational and social factors.
Exploring Sustainable Aspects Regarding the Food Supply Chain, Agri-Food Quality Standards, and Global Trade: An Empirical Study among Experts from the European Union and the United States

Sustainability is increasingly a priority in the policies of the European Union, especially in the Common Agricultural Policy. This paper focuses on Sustainable Development Goals, the European Green Deal, and the Farm to Fork Strategy in an attempt to establish a relationship with the European Union’s trade policy. Three selected components of the agri-food sector—the food supply chain, agri-food quality standards, and global trade—are examined in relation to defined sustainability aspects. The aim is to understand the interrelationship between the three components with specific regard to sustainability, to highlight their high complexity and current relevance, to contribute to systematic analysis in this area, and to present current progress. This qualitative–explorative study is empirically supported by a survey of market experts, and the Transatlantic Trade and Investment Partnership between the European Union and the United States is used as an example. The results show the complexity between the relationships of the three components with a focus on sustainability and reveal a deep uncertainty. The most notable results are the limited level of knowledge and the insufficient attention from business representatives to sustainability aspects. Finally, the study identifies the state of integrating a sustainable perspective into European Union trade policy and provides suggestions for further research.
Removal of heavy metals derived from COD analysis wastewater by electrolysis using graphite electrode

In this study, electrolysis using graphite electrodes was applied to treat wastewater generated from a COD analysis procedure (referred to as COD wastewater). COD wastewater containing high concentrations of H2SO4, Hg2+, and Cr2O72- salts were collected and then treated by electrolysis with graphite electrodes in a lab-scale experiment. The results showed that the electrolysis process was not affected by the electrode’s distance or area. The most efficient treatment for all three metals was achieved at a current value of 31.58 mA, which corresponds to a current density of 1.974 mA/cm2 under a voltage of 3 V, 8-h electrolysis time, wastewater pH<1, electrode distance of 4 cm, and electrode area of 16 cm2. Under these conditions, the concentrations of heavy metals after treatment were 1170.17 mg/l for Hg, 871.20 mg/l for Ag, and 56.3 mg/l for Cr. The treatment efficiencies were 48.15, 66.94, and 50.76%, for Hg, Ag, and Cr, respectively. While this technology is simple, low cost, and achieves a relatively high efficiency, after treatment the COD wastewater still carried a high concentration of heavy metals that exceeded the permissible standards. Therefore, it is necessary to have a further treatment method in place to completely eliminate the heavy metals remaining in wastewater, as well as to recycle and reuse acidic components from wastewater and to treat them up to environmental standards before discharge. In conclusion, electrolysis with graphite electrodes can be applied in practice to treat other sources of wastewater contaminated by heavy metals with low emissions.
Two-spin entanglement induced by scattering of backscattering-free chiral electrons in a Chern insulator

The existence of robust chiral edge states in a finite topologically nontrivial chern insulator is a consequence of the bulk-boundary correspondence. In this paper, we present a theoretical framework based on lattice Green's function to study the scattering of such chiral edge electrons by a single localized impurity. To this end, in the first step, we consider the standard topological Haldane model on a honeycomb lattice with strip geometry. We obtain analytical expressions for the wave functions and their corresponding energy dispersion of the low-energy chiral states localized at the edge of the ribbon. Then, we employ the $T$-matrix Lippmann-Schwinger approach to explicitly show the robustness of chiral edge states against the impurity scattering. This backscattering-free process has an interesting property that the transmitted wave function acquires an additional phase factor. Although this additional phase factor does not affect quantum transport through the chiral channel it can carry quantum information. As an example of such quantum information transport, we investigate the entanglement of two magnetic impurities in a chern insulator through the dissipation-less scattering of chiral electrons.
ANTICONVULSANT EFFECTS OF NIFEDIPINE ON MES INDUCED SEIZURES

Objective: To evaluate the anticonvulsant activity of Nifedipine against MES induced seizures.Methods: The study was induced by techno electroconvulsometer. The animals were treated with Nifedipine (100 I¼g/100 g i. p. and 200 I¼g/100 g i. p.) and MES was induced 2 h after the administration of the drug, and duration of various phases was noted. Duration of THLE was taken as an index for antiepileptic activity.Results: Nifedipine when administered in a dose of 100 I¼g/100 g ip, did not produce any changes in any phases of the MES induced seizure. But in a dose of 200 I¼g/100 g ip, it significantly reduced the duration of THLE.Conclusion: Nifedipine has a significant action against MES induced seizures suggesting an important role of CCBs as future, promising antiepileptic drug.
Proposta de Mapa Interativo e Colaborativo para Ecossistemas de Inovação: Um Estudo de Caso Baseado no Estado do Ceará

A colaboração entre os agentes que entrelaçam um ecossistema de inovação demonstra-se uma importante pauta socioeconômica a ser explorada. Dentre as iniciativas que contribuem para tal consolidação, destaca-se a adoção de mapas interativos que, apesar de relevantes, enfrentam uma lacuna empírica quanto à avaliação de elementos associados à Interação Humano-Computador. Diante dessa oportunidade, esta pesquisa objetiva desenvolver e avaliar um mapa interativo e colaborativo explorando o estado do Ceará como estudo de caso que, mesmo reconhecidamente proeminente, ainda não dispõe de iniciativas intrinsecamente open source, de expressão estadual e colaborativa para mapeamento dos seus agentes. Sob um escopo metodológico qualiquantitativo, este trabalho se justiﬁca devido ao seu enquadramento dentro da dinâmica de difusão da inovação. Portanto, além da disponibilização de uma solução open source aderente ao Modelo 4C de Colaboração, este trabalho contribui, de forma pioneira, na condução de um experimento para avaliação empírica de Experiência do Usuário, Usabilidade e Percepção de Valor no contexto de um ecossistema de inovação brasileiro.
Local Statistics, Semidefinite Programming, and Community Detection

We propose a new hierarchy of semidefinite programming relaxations for inference problems, inspired by recent ideas of `pseudocalibration' in the Sum-of-Squares literature. As a test case, we consider the problem of community detection in a distribution of random regular graphs we'll call the Degree Regular Block Model, wherein the vertices are partitioned into $k$ communities, and a graph is sampled conditional on a prescribed number of inter- and intra-community edges. The problem of \emph{detection}, where we are to decide with high probability whether a graph was drawn from this model or the uniform distribution on regular graphs, is conjectured to undergo a computational phase transition at a point called the Kesten-Stigum (KS) threshold, and we show (i) that sufficiently high constant levels of our hierarchy can perform detection arbitrarily close to this point, (ii) that our algorithm is robust to $o(n)$ adversarial edge perturbations, and (iii) that below Kesten-Stigum no level constant level can do so. In the more-studied case of the (irregular) Stochastic Block Model, it is known that efficient algorithms exist all the way down to this threshold, although none are robust to adversarial perturbations of the graph when the average degree is small. More importantly, there is little complexity-theoretic evidence that detection is hard below Kesten-Stigum. In the DRBM with more than two groups, it has not to our knowledge been proven that any algorithm succeeds down to the KS threshold, let alone that one can do so robustly, and there is a similar dearth of evidence for hardness below this point. Our SDP hierarchy is highly general and applicable to a wide range of hypothesis testing problems.
Summer Enrichment or Just Hanging Out?: What Parents should Know about Extended Learning Opportunities

Summer program registration typically starts in January or February—it's not too soon to think about summer! A s parents, we often worry about our oversched-uled children. How much is too much? Should they have time off during their breaks from school? Should they attend academic, music, or sport camps? Hang out with friends? Vacation on Grandpa's farm? Go to the beach? Of course, children and adolescents need time alone to just be themselves, but how many of us have heard, " I'm bored. I don't have anything to do, " after a week of downtime? This article provides an overview of current research and a look at the sampling of available enrichment programs for gifted children and adolescents. Research has shown that summer learning based in family and community activities increases stu-dents' school achievement. Students who participate in summer learning activities—whether camp-based, community-based, or family-based—score higher on their fall achievement tests than students who are left to their own devices during their free time (Alexan-der, Entwisle, & Olsen, 2007). This research suggests that the achievement gap is substantially linked to unequal learning opportunities in children's home and community environments, especially during summer months. Although learning gains during the school year for students who participate in out-of-school activi-Content is copyright protected and provided for personal use only-not for reproduction or retransmission. 17 ties is nearly equal for those who do not, students who do not participate in learning activities often lose more than 2 months of reading achievement during a typical summer vacation. The authors also found that all students lost more than 2 months grade-level equivalency in math over the summer , even those participating in learning activities. Finally, Alexander et al. (2007) found that as much as two thirds of test score differences could be traced to summer learning differences during elementary school and that these differences continued into high school and even college. Note that studies do not suggest we should put our children into the traditional school setting year-round (U.S. Department of Education, 2009). Activities during school vacations should include games, field trips, enrichment, and fun. These activities should connect to academics, while not necessarily resembling a typical classroom setting. Successful out-of-school learning experiences combine new ideas, places, relationships, hands-on opportunities, application of knowledge, and encouragement for students (Quinn, 2002). Many of the summer programs available for gifted students combine content acquisition with creative and critical thinking …
Securing the Limits of Large Ocean States in the Pacific: Defining Baselines Limits and Boundaries amidst Changing Coastlines and Sea Level Rise

The Pacific Island States and Territories are traditionally described as ‘small island’ nations. However, they are also ‘large ocean’ nations with jurisdiction over substantial maritime spaces stretching to at least 200 nautical miles. The article addresses issues related to baselines along the coast on which these broad maritime claims depend. The article then examines geodynamic considerations coupled with sea and land level projections in the Pacific leading to an assessment of the vulnerability or resilience of atolls in particular. The article then discusses potential implications for the coastlines and baselines of the Pacific Island States and Territories, the limits of their maritime entitlements and both delimited and undelimited maritime boundaries. Potential response options, prospects, and concluding thoughts are then offered.