Miracle-dz/UniFAR-FTUs huggingface dataset:
CHARACTERIZATION OF HONEYS PRODUCED IN THE CENTER-WEST OF MOROCCO (AIT BAÂMRANE OF SIDI IFINI) USING MELISSOPALYNOLOGY

Honey is one of the most important products given by nature produced by bees from nectar and honeydew of various plants used by humans due to the health benefits it offers. For the characterization of honey, it is important to know the plants that participate in its production. In this study, the pollen analysis of 9 honey samples from central-western Morocco (Ait Baâmrane region) collected in three different zones, A (coast zone), B (plateaus and hills) and C (continental mountainous area) was carried out to determine the botanical sources involved in honey production in this region. To improve the pollen analysis, a factorial correspondence analysis (AFC) was used to determine the characteristic species of these three zones. Overall, 35 taxa belonging to 33 genera and 22 families were found in the samples. 23 taxa were identified in zone A samples, 20 in C and 16 in B. Of the nine samples studied, the summer samples were monofloral with Euphorbia officinarum subsp . echinus as the predominant pollen (between 25.71% 71.42%) while the spring samples were generally multifloral honeys (without dominance). They contained Euphorbia regis-jubae , Papaver rhoeas , Echium petiolatum , Diplotaxis harra , Glebionis coronaria , and Calendula sp . as secondary pollen with percentages ranging from 18.57% to 26.64%.
Does Local Government’s Spending Effective in Improving Human Development Index? Study in Underdeveloped

The purpose of this study was to examine each local government expenditure in the health, education, and economic functions against three indicators forming the Human Development Index (HDI) as a measure to assess community welfare, namely health, education, and economic indicators in 122 underdeveloped regions in Indonesia from 2015-2018 period. The HDI health indicator is measured using Life Expectancy (UHH), the education indicator is represented by School Year Expectation (HLS), and the economic indicator is represented by Population Expenditure per Capita (PPK). In addition, other variables that can affect HDI are included, namely poverty and population growth. The research method used multiple linear regression analysis with the selected model, namely the fixed effect model (FEM). This study used 488-panel data consisting of a combination of 122 cross-sectional data originating from 122 underdeveloped regencies/cities in Indonesia and time series data for 4 years from 2015-2018. The results showed that only local government expenditures in economic function had a positive and significant effect on the HDI economic indicators, namely PPK. If government spending on economic functions increases by 1%, it can increase the expenditure per capita of residents in underdeveloped areas in 2015-2018 by 0.03102%. Meanwhile, local government spending in the health function does not have a significant effect on UHH, and local government spending in the education function does not have a significant effect on HLS. Another result shows that the poverty variable has a negative and significant effect on all HDI indicators in underdeveloped areas.
Structured Sparsity Optimization with Non-Convex Surrogates of (cid:96) 2 , 0 -Norm: A Uniﬁed Algorithmic Framework

—In this paper, we present a general optimization framework that leverages structured sparsity to achieve superior recovery results. The traditional method for solving the structured sparse objectives based on (cid:96) 2 , 0 -norm is to use the (cid:96) 2 , 1 -norm as a convex surrogate. However, such an approximation often yields a large performance gap. To tackle this issue, we ﬁrst provide a framework that allows for a wide range of surrogate functions (including non-convex surrogates), which exhibits better performance in harnessing structured sparsity. Moreover, we develop a ﬁxed point algorithm that solves a key underlying non-convex structured sparse recovery optimization problem to global optimality with a guaranteed super-linear convergence rate. Building on this, we consider three speciﬁc applications, i.e., outlier pursuit, supervised feature selection, and structured dictionary learning, which can beneﬁt from the proposed structured sparsity optimization framework. In each application, how the optimization problem can be formulated and thus be relaxed under a generic surrogate function is explained in detail. We conduct extensive experiments on both synthetic and real-world data and demonstrate the effectiveness and efﬁciency of the proposed framework.
Planning Falsifiable Confirmatory Research

Falsifiable research is a basic goal of science and is needed for science to be self-correcting. However, the methods for conducting falsifiable research are not widely known among psychological researchers. Describing the effect sizes that can be confidently investigated in confirmatory research is as important as describing the subject population. Power curves or operating characteristics provide this information and are needed for both frequentist and Bayesian analyses. These evaluations of inferential error rates indicate the performance (validity and reliability) of the planned statistical analysis. For meaningful, falsifiable research, the study plan should specify a minimum effect size that is the goal of the study. If any tiny effect, no matter how small, is considered meaningful evidence, the research is not falsifiable and often has negligible predictive value. Optimal practice is to identify the smallest effect size of practical or theoretical interest. Power ≥ . 95 for the minimum effect is optimal for confirmatory research and . 90 is good. From a frequentist perspective, the statistical model for the alternative hypothesis in the power analysis can be used to obtain a p value that can reject the alternative hypothesis, analogous to rejecting the null hypothesis. The same inferences can be made by examining whether the confidence intervals include or exclude the specified minimum effect size for the study. The preregistration for falsifiable confirmatory research should include (a) criteria for evidence the alternative hypothesis is true, (b) criteria for evidence the alternative hypothesis is false, and (c) criteria for outcomes that will be inconclusive.
The Effectiveness of the Use of The Result Determining-Lamp Media In Class IV Students at SDN Senden Peterongan

Concepts in mathematics include abstract concepts, especially for elementary students. So that teachers are required to always innovate in learning so that learning is effective, not boring and students more easily understand concepts correctly. This learning requires media that is appropriate to the material and cognitive development of students. The media used in this research is result determining lamp to determine the least common multiple (LCM) and the greatest common divisor (GCF) of a number. This study aims to discuss the effectiveness of result determining-lamp media to determine the results of LCM and GCF in grade IV students at SDN Peterongan Jombang. Effectiveness in research is seen from how the average learning outcomes and whether there are significant differences in student learning outcomes with and without the result determining-lamp media. Sampling uses a saturated sample, so that all class IV is used as a sample. Based on the results of the study, it was concluded that the use of result determining-lamp media is an effective determinant of learning outcomes because the average learning outcomes of the experimental class are higher than those of the control class and through the t-test there are differences in the learning outcomes of class IV students with and without the result determining-lamp media.
Collecting and Investigating Features of Compositionality Ratings

Developing computational models to predict degrees of compositionality for multiword expressions typically goes hand in hand with creating or using reliable lexical resources as gold standards for formative intrinsic evaluation. Not much work however has looked into whether and how much both the gold standards and the computational prediction models vary according to properties of the compounds within the lexical resources. In the current study, we focus on English and German noun compounds and suggest a novel route to assess the interactions between compound and constituent properties with regard to the compounds’ degrees of compo-sitionality. Our contributions are two-fold: (1) a novel collection of compositionality ratings for 1,099 German noun compounds, where we asked the human judges to provide compound and constituent properties (such as paraphrases, meaning contributions, hypernymy relations, and concreteness) before judging the compo-sitionality; and (2) a series of analyses on rating distributions and interactions with compound and constituent properties for our novel collection as well as existing gold standard resources in English and German. Following the analyses we discuss to what extent one should aim for an even distribution of ratings across the pre-specified scale, and to what extent one should take into account properties of the compound and constituent targets when creating a novel resource and when using a resource for evaluation. We suggest as a minimum requirement to balance targets across frequency ranges, and optimally to balance targets across their most salient properties in a post-collection filtering step. Above all, we recommend to assess computational models not only on the full dataset but also with regard to subsets of targets with coherent task-relevant properties.
W ITTGENSTEIN ON M ATHEMATICAL A DVANCES AND S EMANTICAL M UTATIONS 1

: The objective of this article is to try to elucidate Wittgenstein’s extravagant thesis that each and every mathematical advancement involves some “semantical mutation”, i.e., some alteration of the very meanings of the terms involved. To do that we will argue in favor of the idea of a “modal incompati-bility” between the concepts involved, as they were pri or to the advancement, and what they become after the new result was obtained. We will also argue that the adoption of this thesis profoundly alters the traditional way of construing the idea of “progress” in mathematics.
Reliability of keystone Perforator Based Flap for Reconstruction of Leg Defects

Background : In reconstructive surgery, the perforator flap procedure represents a revolutionary technique that allows more complex reconstruction with less invasive dissection. The trapezoidal-shaped k eystone island flap has a unique design that involves two linked V-Y island flaps. Linking both concepts allows greater tissue advancement with a more reliable blood supply. Objectives : the aim of this study is to determine the feasibility and safety of keystone island perforator flaps in managing various lower limb defects. Patients and Methods : Patients who presented to the plastic surgery department at the Suez Canal University Hospital with leg defects were the subject of a planned cross-sectional study. 15 patients were included in the study; 10 (66.67%) men and 5 (33.33%) women had soft tissue leg defects. preoperative assessment of Patients includes a detailed medical history, Defect site and characteristics were also evaluated, Results : In our study, the defects lengths had a minimum of 1 cm and a maximum of 5 cm. Moreover, defects widths had a maximum of 7 cm and a minimum of 1 cm. All were situated in the middle third of the leg. Thirteen patients did not show any complications and the 2 remaining showed one or more complications (Congestion, Partial loss, Total loss, Collection, hematoma or Infection). The descriptive statistics of the Scar Q score and its constituents were as follow Body (20.07 ± 3.73), Appearance (41.67 ± 15.56), Symptom scale (42.13 ± 12.68) and Psychosocial (43.73 ± 14.66). The body component of the score had the lowest mean score. Conclusion : The keystone perforator flap offers a durable coverage, reduces the need for microsurgical procedures, and shortens the length of the operation. It is a simple and safe solution for covering a variety of limb deformities with the least amount of morbidity.
Human Capital Strategies for Big Shocks: The Case of the Fall of the Ming∗

Do big shocks have long-lasting effects on economic fortunes, or are they short-lived? Studying the 1644 fall of the Ming Dynasty, which cost the lives of 1/7 of China’s population, we revisit this question by using micro data on seven linked generations to trace out the impact of the shock in a sample from Central China. Comparing families subject to the shock with others that were not, the paper shows that the fall of the Ming significantly impacted human capital acquisition over more than 300 years by reducing it on impact while raising it in the long run. This reversal of human capital emerges due to a greater preference for human capital of those who experienced the shock, and this change in attitude is transmitted from one to the next of their future generations. In support of this explanation we present evidence that relative to before the shock, intergenerational upward human capital mobility rises and downward mobility falls for historically treated family lines. Much of the long-run human capital response is accounted for by the behavior of family lines; in contrast, whether a family currently lives in a historically treated region or not plays a negligible role. Group effects at the clan level reinforce this shift towards greater human capital preference, which is also supported by the families’ migration and fertility responses.
Extremely sharp transmission peak in optically thin aluminum film with hexagonal nanohole arrays

Extraordinary transmission is the most attractive phenomenon, that has been studied in recent decades, for optically thick metal film with nanohole arrays. On the contrary, in optically thin metal film with nanohole arrays, it has been found that the interaction between excited surface plasmon polariton and non-resonant direct propagation light introduces a strong light absorption and causes a suppressed transmission dip. Here, we explore the optical properties of a free standing optically thin aluminum film with a hexagonal large filling ratio nanohole array and find an extremely sharp extra extraordinary transmission peak within the suppressed transmission dip which is originated from the interaction of the excited surface plasmon polariton and the non-resonant directly scattered light. Simulation results show that the nanohole-array-based biosensor that were proposed have an excellent sensitivity, with a figure of merit of 87, beyond that of nanohole-array-based biosensors reported previously for normal incidence.
CARE FOR PEOPLE WITH PSYCHOLOGICAL DISTRESS AND ITS REPERCUSSIONS ON THE FAMILY 1

Objective: to understand how the daily care of people in psychological distress affects the life of the family caregiver and to measure the level of caregiver burden. Method: this is an exploratory and descriptive study with a mixed approach. Data was collected using a semistructured interview and the Zarit Burden Interview with 15 family members of people in psychological distress who were followed up at a CAPS III unit in a city in the metropolitan region of Salvador. Data were collected between February and August 2021, organized and analyzed using the Thematic Content Analysis technique and discussed based on existing literature. Results: the correlation of the variables revealed the level of objective and subjective burden, in addition to the feelings expressed by these family members. Six family members had moderate to severe burden according to the ZBI scale, with scores ranging from 43 to 54. The units of meaning gave rise to three thematic categories, which were presented in the infographic and illustrate how the daily care of people with psychological distress affects the lives of family caregivers. Final considerations: the study revealed that care for people in psychological distress has been carried out mainly by black women, reflecting gender and race inequalities, and that this care involves ambivalent feelings and expectations, varying levels of burden, and the need for social and state support.
THE EFFECTIVENESS OF LEARNING COMMUNITY TECHNIQUES ON ENGLISH ESSAY WRITING SKILLS

Abstract: This research is designed to measure the effectiveness of learning community techniques on English Essay Writing skills based on the result of preliminary observation, which shows that students had some problems related to the result of their writing skills which still need to achieve the expected aims. This research used a classroom action research method involving 30 students as a research sample. This research used quantitative and qualitative data for the data collecting technique. Quantitative data was taken from the pre-test and post-test results, while qualitative data was taken during observation and action. Then the results of the research showed that the percentage value of student activity in attending lectures had increased. The result of the percentage increase in student activity seen from the percentage of students who were very active and active in cycle 1 was only 36.7%, then increased in cycle 2 to 63.3%. Then the results of learning to write English essays for students also increased, with an average score in cycle 1 of 60.17, and in cycle 2, there was an increase in the average score of 9.96 to 70.13. Using the learning community technique to improve students' English abilities has a favourable effect, particularly on the growth of student's ability to write English essays.
THE BEHAVIOR OF THE STOCKS OF SUSTAINABLE COMPANIES IN THE ELECTRIC SECTOR IN RELATION TO B3'S CORPORATE SUSTAINABILITY

Purpose: Compare and analyze the profitability of sustainable electricity companies with Brazilian sustainable companies from the B3 Corporate Sustainability Index. Theoretical framework : The important concept of Triple Bottom Line in companies and society was addressed, linked to sustainable companies in the electricity sector. Method/design/approach: Descriptive and applied statistics were used with non-parametric statistical tests for a non-normal distribution for analysis of the collected data. Results and conclusion: The research shows that, by all indications, there is a connection between the profitability of sustainable companies in the electricity sector and the totality of companies that make up B3's corporate sustainability index and that, therefore, being included in the list of sustainable companies is to add value good image and sustainability for the company in the electricity sector. Research implications: The research details that being sustainable is profitable for companies in the electricity sector in the long term, as their profitability can be linked to the B3 group of sustainable companies. This fact helps other companies in the electricity sector to be part of the corporate sustainability index and, therefore, have good environmental, social and economic sustainability practices. Originality/value: This study is avant-garde in comparing sustainability in the electricity sector, amplifies the corporate sustainability discourse and encourages the maximum number of companies, mainly in the electricity sector, to have a sustainable culture in their business.
Effects of grazing intensity on diversity and composition of rhizosphere and non‐rhizosphere microbial communities in a desert grassland

Abstract Overgrazing‐induced grassland degradation has become a serious ecological problem worldwide. The diversity and composition of soil microbial communities are sensitive to grazing disturbances. However, our understanding is limited with respect to the effects of grazing intensity on bacterial and fungal communities, especially in plant rhizosphere. Using a long‐term grazing experiment, we evaluated the diversity and composition of microbial communities in both rhizosphere and non‐rhizosphere soils under three grazing intensities (light, moderate, and heavy grazing) in a desert grassland and examined the relative roles of grazing‐induced changes in some abiotic and biotic factors in affecting the diversity and composition of microbial communities. Our results showed that soil bacteria differed greatly in diversity and composition between rhizosphere and non‐rhizosphere zones, and so did soil fungi. Moderate and heavy grazing significantly reduced the rhizosphere bacterial diversity. Grazing intensity substantially altered the bacterial composition and the fungal composition in both zones but with different mechanisms. While root nitrogen and soil nitrogen played an important role in shaping the rhizosphere bacterial composition, soil‐available phosphorus greatly affected the non‐rhizosphere bacterial composition and the fungal composition in both soils. This study provides direct experimental evidence that the diversity and composition of microbial communities were severely altered by heavy grazing on a desert grassland. Thus, to restore the grazing‐induced, degraded grasslands, we should pay more attention to the conservation of soil microbes in addition to vegetation recovery.
Income distribution in Thailand is scale-invariant

This study examines whether income distribution in Thailand has a property of scale invariance or self-similarity across years. By using the data on income shares by quintile and by decile of Thailand from 1988 to 2021, the results from 306-pairwise Kolmogorov-Smirnov tests indicate that income distribution in Thailand is statistically scale-invariant or self-similar across years with p-values ranging between 0.988 and 1.000. Based on these empirical findings, this study would like to propose that, in order to change income distribution in Thailand whose pattern had been persisted for over three decades, the change itself cannot be gradual but has to be like a phase transition of substance in physics.
Optically addressing semiconductor electron-spin ensembles with tunable nuclear-spin environments

This thesis describes experiments and simulations on the coherent optical manipulation of ensembles of localized electron spins in a semiconductor host material, in the presence of nuclear spins that limit the extent to which the electrons can be controlled. It describes and demonstrates an all-optical method to stabilize the nuclear spins and enhance the dephasing time of localized spins, using the interplay of optical coherent population trapping and dynamic nuclear polarization. It is quantified how inhomogeneities in the laser field strength throughout ensembles effect this feedback. Sample design and measurement techniques to obtain homogeneous ensembles that can be addressed by a uniform laser field are discussed and shown.