Miracle-dz/UniFAR-FTUs huggingface dataset:
THE ROLE OF STRATEGIC SUFFICIENCY IN PROMOTING PRO- ENVIRONMENTAL BEHAVIORS IN THE WORKPLACE: AN ANALYTICAL STUDY

The purpose of this study is to seek to identify the role of strategic sufficiency in promoting pro-environmental behaviors in the workplace and to suggest new Al-Haelah aimed at practicing these behaviors for the enormous company under study, heading towards paths to achieve strategic sufficiency at all levels. The study included qualitative analysis of data related to the Al-Haelah Company in Karbala Governorate under study, and the study sample included 110 individuals working in this company. The study sought to test several hypotheses related to the influence relationships between the study variables represented by strategic sufficiency and pro-environmental behaviors in the workplace. The data were processed through statistical methods using the program (SPSS). The results of the statistical analysis of the data collected through the questionnaire tool prepared for this purpose, in addition to the theoretical conclusions from it, showed that the company adopted strategic sufficiency to improve pro-environmental behaviors by focusing on effective communication and efficient access to knowledge, as well as using them to improve the level of enjoyment The workplace of the employees, and knowledge of the workplace environment of the employees, but it adopted effective communication individually to improve the connection with the nature and place of work of the employees. This study contributes as an attempt to contribute to revealing the role of strategic sufficiency as a strategic tool for Al-Haelah company to promote pro-environmental behaviors.
Quasicontinuous Functions, Densely Continuous Forms and Compactness

Abstract Let X be a locally compact space. A subfamily ℱ of the space D*(X, ℝ) of densely continuous forms with nonempty compact values from X to ℝ equipped with the topology 𝒯UC of uniform convergence on compact sets is compact if and only if {sup(F) : F ∈ ℱ} is compact in the space Q(X, ℝ) of quasicontinuous functions from X to ℝ equipped with the topology 𝒯UC.
High p-type doping, mobility, and photocarrier lifetime in arsenic-doped CdTe single crystals

Group-V element doping is promising for simultaneously maximizing the hole concentration and minority carrier lifetime in CdTe for thin film solar cells, but there are roadblocks concerning point defects including the possibility of self-compensation by AX metastability. Herein, we report on doping, lifetime, and mobility of CdTe single crystals doped with As between 1016 and 1020 cm−3 grown from the Cd solvent by the travelling heater method. Evidence consistent with AX instability as a major contributor to compensation in samples doped below 1017 cm−3 is presented, while for higher-doped samples, precipitation of a second phase on planar structural defects is also observed and may explain spatial variation in properties such as lifetime. Rapid cooling after crystal growth increases doping efficiency and mobility for times up to 20–30 days at room temperature with the highest efficiencies observed close to 45% and a hole mobility of 70 cm2/Vs at room temperature. A doping limit in the low 1017/cm3 range is observed for samples quenched at 200–300 °C/h. Bulk minority carrier lifetimes exceeding 20 ns are observed for samples doped near 1016 cm−3 relaxed in the dark and for unintentionally doped samples, while a lifetime of nearly 5 ns is observed for 1018 cm−3 As doping. These results help us to establish limits on properties expected for group-V doped CdTe polycrystalline thin films for use in photovoltaics.Group-V element doping is promising for simultaneously maximizing the hole concentration and minority carrier lifetime in CdTe for thin film solar cells, but there are roadblocks concerning point defects including the possibility of self-compensation by AX metastability. Herein, we report on doping, lifetime, and mobility of CdTe single crystals doped with As between 1016 and 1020 cm−3 grown from the Cd solvent by the travelling heater method. Evidence consistent with AX instability as a major contributor to compensation in samples doped below 1017 cm−3 is presented, while for higher-doped samples, precipitation of a second phase on planar structural defects is also observed and may explain spatial variation in properties such as lifetime. Rapid cooling after crystal growth increases doping efficiency and mobility for times up to 20–30 days at room temperature with the highest efficiencies observed close to 45% and a hole mobility of 70 cm2/Vs at room temperature. A doping limit in the low 1017/cm3 range .
Tropical Atlantic Response to Last Millennium Volcanic Forcing

Climate responses to volcanic eruptions include changes in the distribution of temperature and precipitation such as those associated with El Niño Southern Oscillation (ENSO). Recent studies suggest an ENSO-positive phase after a volcanic eruption. In the Atlantic Basin, a similar mode of variability is referred as the Atlantic Niño, which is related to precipitation variability in West Africa and South America. Both ENSO and Atlantic Niño are characterized in the tropics by conjoined fluctuations in sea surface temperature (SST), zonal winds, and thermocline depth. Here, we examine possible responses of the Tropical Atlantic to last millennium volcanic forcing via SST, zonal winds, and thermocline changes. We used simulation results from the National Center for Atmospheric Research Community Earth System Model Last Millennium Ensemble single-forcing experiment ranging from 850 to 1850 C.E. Our results show an SST cooling in the Tropical Atlantic during the post-eruption year accompanied by differences in the Atlantic Niño associated feedback. However, we found no significant deviations in zonal winds and thermocline depth related to the volcanic forcing in the first 10 years after the eruption. Changes in South America and Africa monsoon precipitation regimes related to the volcanic forcing were detected, as well as in the Intertropical Convergence Zone position and associated precipitation. These precipitation responses derive primarily from Southern and Tropical volcanic eruptions and occur predominantly during the austral summer and autumn of the post-eruption year.
“Motivated To Teach, but Stressed Out by Teacher Education”: A Content Analysis of Self-Reported Sources of Stress and Motivation Among Preservice Teachers

Strong evidence exists for the high vocational calling reported by candidate teachers, but also for the high rates of attrition early in the profession. Current approaches often explain this paradox by the stress associated with first teaching experiences (i.e., vocational stress processes). By contrast, the present study focuses on the stress experienced during teacher education (i.e., academic stress processes), by analyzing the sources of stress and motivation described in writing by French preservice teachers. Using systematic procedures for content analysis (N = 106 autobiographical texts), major results suggest that preservice teachers are mostly motivated by their positive views of the teaching profession, but that the academic demands they face during teacher education challenge their motivation to pursue the career. Implications are drawn on ways to analyze and tackle academic stress processes, in an effort to support candidate teachers’ wellbeing and thus limit attrition rates.
Controller Design for Asynchronous Hybrid Systems with Multiple Delays

Solutions for the synthesis problems of asynchronous hybrid systems with input-output delays are proposed. The continuous-time lifting approach of sampled-data systems is extended to a hybrid system with multiple delays, and some feasible formulas to calculate the operators of the equivalent discrete-time (DT) system are given. Different from the existing methods derived from symplectic pair theory or by state augmentation, a Lyapunov-Krasovskii functional to solve the synthesis problem is explicitly constructed. The delay-dependent stability conditions we obtained can be described in terms of nonstrict linear matrix inequalities (LMIs), which are much more convenient to be solved by LMI tools.
Influence of rheology on renewable pressure-sensitive adhesives from a triblock copolymer

A poly(lactide-b-β-methyl-δ-valerolactone-b-lactide) (LVL) triblock copolymer was used to create fully sustainable pressure-sensitive adhesives (PSAs) that have promising commercial viability due to the low cost of both monomers. A common rosin ester tackifier was found to preferentially solubilize the midblock and was miscible up to 50% by weight. It was used to lower the modulus of the LVL triblock to satisfy the Dahlquist criterion. Small amplitude oscillatory shear, nonlinear shear creep, and uniaxial extensional data were correlated to tack, 180° peel, and shear resistance adhesion results. “Viscoelastic windows” were constructed for PSAs with 30%, 40%, and 50% tackifier and were used to identify potential candidates for general-use PSAs like Post-it® Notes.A poly(lactide-b-β-methyl-δ-valerolactone-b-lactide) (LVL) triblock copolymer was used to create fully sustainable pressure-sensitive adhesives (PSAs) that have promising commercial viability due to the low cost of both monomers. A common rosin ester tackifier was found to preferentially solubilize the midblock and was miscible up to 50% by weight. It was used to lower the modulus of the LVL triblock to satisfy the Dahlquist criterion. Small amplitude oscillatory shear, nonlinear shear creep, and uniaxial extensional data were correlated to tack, 180° peel, and shear resistance adhesion results. “Viscoelastic windows” were constructed for PSAs with 30%, 40%, and 50% tackifier and were used to identify potential candidates for general-use PSAs like Post-it® Notes.
Trustworthy Website Detection Based on Social Hyperlink Network Analysis

Trustworthy website detection plays an important role in providing users with meaningful web pages, from a search engine. Current solutions to this problem, however, mainly focus on detecting spam websites, instead of promoting more trustworthy ones. In this paper, we propose the enhanced OpinionWalk (EOW) algorithm to compute the trustworthiness of all websites and identify trustworthy websites with higher trust values. The proposed EOW algorithm treats the hyperlink structure of websites as a social network and applies social trust analysis to calculate the trustworthiness of individual websites. To mingle social trust analysis and trustworthy website detection, we model the trustworthiness of a website based on the quantity and quality of websites it points to. We further design a mechanism in EOW to record which websites’ trustworthiness need to be updated while the algorithm “walks” through the network. As a result, the execution of EOW is reduced by 27.1 percent, compared to the OpinionWalk algorithm. Using the public dataset, WEBSPAM-UK2006, we validate the EOW algorithm and analyze the impacts of seed selection, size of seed set, maximum searching depth and starting nodes, on the algorithm. Experimental results indicate that EOW algorithm identifies 5.35 to 16.5 percent more trustworthy websites, compared to TrustRank.
Penalized empirical likelihood based variable selection for partially linear quantile regression models with missing responses

In this paper, we consider variable selection for partially linear quantile regression models with missing response at random. We first propose a role penalized empirical likelihood based variable selection method, and show that such variable selection method is consistent and satisfi es sparsity. Further more, to avoid the influence of nonparametric estimator on the variable selection for the parametric components, we also propose a double penalized empirical likelihood variable selection method. Some simulation studies and a real data application are under taken to assess the finite sample performance of the proposed variable selection methods, and simulation results indicate that the proposed variable selection methods are workable.
Subspace-Induced Gaussian Processes

We present a new Gaussian process (GP) regression model where the covariance kernel is indexed or parameterized by a sufficient dimension reduction subspace of a reproducing kernel Hilbert space. The covariance kernel will be low-rank while capturing the statistical dependency of the response to the covariates, this affords significant improvement in computational efficiency as well as potential reduction in the variance of predictions. We develop a fast Expectation-Maximization algorithm for estimating the parameters of the subspace-induced Gaussian process (SIGP). Extensive results on real data show that SIGP can outperform the standard full GP even with a low rank-$m$, $m\leq 3$, inducing subspace.
A simplified model of local flame structure in thin reaction zones regime

Abstract In thin reaction zones regime, frequently localized flame quenching occurs, due to which a portion of reactant would mix with productions before burning. A simplified flame model, which takes account of this reactant–product mixing effect, was put forward. On the basis of this model, local flamelet characteristics were analyzed by both theoretical and numerical methods. The results show that flame structure and propagation could be notably influenced by reactant–product mixing. A thickened postflame high OH concentration zone and a double-peak profile of active radicals were predicted, which are in accordance with existing direct numerical simulation results but can’t be reflected by traditional models.
PELATIHAN INTERNALISASI NILAI-NILAI PANCASILA BAGI PENDIDIK: STRATEGI PRAKTIS DI JENJANG SMP

Abstrak: Tujuan PKM untuk memberikan pemahaman secara koseptual dan praktis berbagai strategi dalam menginternalisasi nilai-nilai Pancasila melalui pembelajaran dan budaya sekolah bagi pendidik jenjang SMP di Kabupaten Magetan. Jumlah partisipan dari pelatihan internalisasi nilai-nilai Pancasila di Kabupaten Magetan sebanyak 34 SMP Negeri dengan jumlah peserta 96 orang. Metode kegiatan pelatihan melalui sosialisasi dan workshop yang terdiri tiga tahap, yaitu: persiapan, pelaksanaan pelatihan, dan pendampingan. Hasil yang dicapai menunjukkan respons partisipan pelatihan secara umum untuk tiap indikator urgensi materi PKM menunjukkan preferensi positif dengan mayoritas skor berkategori sangat baik dan baik. Ragam strategi menginternalisasi nilai-nilai Pancasila yang dominan disampaikan oleh partisipan melalui budaya di sekolah dan pembelajaran. Jumlah peserta pelatihan melaksanakan hasil PKM di sekolah dan menuliskannya dalam bentuk best practice sebanyak 67 orang (70%). Rekomendasi yang dapat disampaikan adalah perlu dilakukan pengembangan strategi yang digunakan dalam internalisasi nilai-nilai Pancasila di SMP yang diintegrasikan ke dalam kegiatan ekstrakurikuler, peran serta masyarakat, berbasis dengan kearifan lokal sehingga dapat membumikan nilai-nilai Pancasila ke dalam kultur masyarakat setempat.Abstract: The purpose of the community service was to conduct training providing conceptual and practical understanding on various strategies in internalizing the values of Pancasila through learning and school culture for junior high school educators in Magetan, East Java. The number of participants involved in the training on internalization of the values of Pancasila was 96 school principals and teachers from 34 public junior secondary schools in the area. The method of the training activities was through socialization and workshops which consisted of three stages, namely preparation, training implementation, and mentoring. In general, the results show positive responses from the participants in each indicator of the urgency of the materials, with the majority of scores being categorized as very good and good. Most of the strategies employed by the participants to internalize the values of Pancasila were through culture at schools and learning activities. There were 67 participants (70%) of the training implementing the results of the training at schools and writing in the form of best practice. It is necessary to develop strategies used in internalizing the values of Pancasila in junior high schools that are integrated into extracurricular activities and community participation based on local wisdom so that Pancasila can be embedded into the culture of the local community.
Effectiveness of some Bio-control Agents and Chemical Resistance Inducers Against Brown Stem Rot in Soybean (Glycine max (L.) Merrill)

Brown stem rot (BSR) [ Phialophora gregata (Allington & Chamberlain) Gams. ] is a widespread and significant disease in all over world’s soybean-growing regions. In isolation trials, eight isolates associated to soybean stem rot symptoms were collected from various governorates in Egypt. All the tested isolates could attack soybean plants of the cv. Giza 22 variety and cause brown stem rot. The results of pathogenicity tests showed that isolate of Mallawi from Minia governorate was the most virulent isolate. The isolates were identified as Phialophora gregata . Efficacies of some bio-control agents viz . Trichoderma harzianum and Bacillus subtilis in addition to chemical resistance inducers viz . salicylic acid (SA), humic acid (HA) and hydroquinone (HQ) compared with Topsin M-70 % tested individually or in combinations as seed treatments showed antifungal activities against P. gregata in vitro and in vivo . Linear growth P. gregata in vitro was severely reduced by chemical inducers and antagonistic bacteria to varying degrees as compared to the control. The combination of B. subtilis + SA was most efficient in inhibiting mycelial growth of P. gregata . In vivo , the application of all treatments used as seed soaking showed significantly reduced the percentage of internal stem discoloration (PISD). Employing chemical resistance inducers and bio-control agents together was more efficient than using each of them alone. Additionally, in two growing seasons after one another, biocontrol agents, chemical inducers and their mixtures significantly raised soybean growth and yield parameters. The best control of brown stem rot disease and the highest growth and yield parameters values was observed under combination of B. subtilis + SA. In soil analysis and biochemical changes in soybean plants, all treatments showed significantly increased in dehydrogenase (DHA), photosynthetic pigment content, total protein, total carbohydrate, total oil contents and nitrogen (N), phosphorus (P), and potassium (K) contents in yielded seeds, meanwhile the total phenols significantly increased in all treatments compared with untreated control treatment. In general, utilizing biotic inducers appears to be one of the solutions to replace, or to reduce, fungicides usage in the management of plant diseases.
A Secure Robot Learning Framework for Cyber Attack Scheduling and Countermeasure

The problem of learning-based control for robots has been extensively studied, whereas the security issue under malicious adversaries has not been paid much attention to. Malicious adversaries can invade intelligent devices and communication networks used in robots, causing incidents, achieving illegal objectives, and even injuring people. This article first investigates the problems of optimal false data injection attack scheduling and countermeasure design for car-like robots in the framework of deep reinforcement learning. Using a state-of-the-art deep reinforcement learning approach, an optimal false data injection attack scheme is proposed to deteriorate the tracking performance of a robot, guaranteeing the tradeoff between the attack efficiency and the limited attack energy. Then, an optimal tracking control strategy is learned to mitigate attacks and recover the tracking performance. More importantly, a theoretical stability guarantee of a robot using the learning-based secure control scheme is achieved. Both simulated and real-world experiments are conducted to show the effectiveness of the proposed schemes.
Aspectos computacionales en la bisección de un n-simplex regular.

Resumen— En el ámbito de la optimización global basada en técnicas de ramificación y acotación, cuando el espacio de búsqueda es un n-simplex regular es habitual utilizar como regla de división la bisección por el lado mayor. Este modo de división evita que los subproblemas generados tengan una forma degenerada o poco redondeada y además da lugar a un muestreo más uniforme del espacio de búsqueda ya que la función objetivo es normalmente evaluada en los vértices de los sub-problemas o śımplices. En este trabajo se muestra como la división por el lado mayor puede afectar a parámetros tales como el número total de sub-problemas generados, el número de formas similares que estos pueden tener o el grado de redondez de los sub-problemas. La dificultad de determinar estos parámetros se incrementa con el valor de n. En este trabajo se presentan los resultados de los estudios realizados para n ≤ 3, es decir, hasta un espacio 4-dimensional. Debido al crecimiento exponencial del árbol binario de búsqueda generado, se hace necesario el uso de computación paralela cuando se usan criterios de terminación más precisos y/o n-śımplices con n ≥ 3. Aqúı se presenta un modelo paralelo que hace uso de las posibilidades de paralelización de MATLAB.
PRIMITIVE SEGMENTATION OF DOUGONG COMPONENTS BASED ON REGIONAL CLUSTERING

Abstract. As one of the most characteristic components of ancient Chinese architecture, Dougong has an important significance in the history of ancient Chinese architecture, but with the passage of time, wooden building components are prone to decay and missing, so it is particularly important to digitally retain the Dougong. In order to realize the Dougong component segmentation, this paper proposes a super voxel-based Dougong component primitive segmentation method, which is divided into two parts: firstly, super voxelizing the Dougong point cloud data, and secondly, realizing the Dougong component primitive segmentation by using multi-geometric constrained region growth algorithm. In order to verify the effectiveness of the method, this paper selects three main Dougong types of the Qing Dynasty, including pingshenke, jiaoke, zhutouke, for experimental validation, and the results show that the combination of super voxel and regional growth algorithm can effectively extract the geometric primitive surface of the Dougong components with high extraction efficiency and good adaptability, which can be prepared for the subsequent knowledge of Dougong construction method to achieve component segmentation.
Stall force of polymerizing microtubules and filament bundles

We investigate stall force and polymerization kinetics of rigid protofilaments in a microtubule or interacting filaments in bundles under an external load force in the framework of a discrete growth model. We introduce the concecpt of polymerization cycles to describe the stochastic growth kinetics, which allows us to derive an exact expression for the stall force. We find that the stall force is independent of ensemble geometry and load distribution. Furthermore, the stall force is proportional to the number of filaments and increases linearly with the strength of lateral filament interactions. These results are corroborated by simulations, which also show a strong influence of ensemble geometry on growth kinetics below the stall force.