Miracle-dz/UniFAR-FTUs huggingface dataset:
The Leadership Role Of The Village Head In Realizing Development In Tetehosi I Village, Gunungsitoli Idanoi Sub-District In 2023

Leadership can be defined as an individual's ability to influence, motivate and enable others to contribute to the effectiveness and success of the Village. The essence of national development is basically the human being himself who is the center point of all development efforts and what will be built. Article 26 paragraph (2) of Law No. 6 of 2014 states that the Village Head is in charge of organizing the Village administration, implementing Village development, fostering the Village community and empowering the Village community. This research aims: To describe the leadership role of the Village head in realizing development in Tetehosi I Village, Gunungsitoli Idanoi District in 2023. The research method used in this research is a qualitative method with a descriptive approach. The data collection techniques used are observation, interview, and documentation techniques. The results of this study reveal that the leadership role of the Village Head in realizing development in Tetehosi I Village is: being a facilitator of planned development, being a mobilizer to mobilize Village officials and the community, being a motivator to achieve a goal, running in accordance with established regulations. The constraints faced in realizing development are: first, budget absorption; this is related to the allocation of Village development because the Village has three Hamlets and a very large population of Tetehosi I with a total of 2,238 residents; second, not all community aspirations can be facilitated; third, Village funds in Tetehosi I are very limited (Village funds are not focused on development alone); fourth, lack of community participation; fifth, there are differences of opinion regarding the land / plot being built and lack of cohesiveness between communities. The efforts made by the Village Head in this case are the Village Head in carrying out his role as a facilitator, mobilizer and motivator, being a leader for the Village apparatus team, accepting all ideas or aspirations from various elements of the community; bringing the community closer if there are residents who have different assumptions or disputes during the course of development.
SINAI at RTE-6: Personalized Page Rank Vectors and Named Entities

This document describes the participation of the SINAI Research Group in the 6th challenge on Recognition of Textual Entailment (RTE). Our approach is a supervised one, by applying a learning process on the development data. The model trained was a stacking of two SVM models, each one over different attributes. One of the SVMs was trained on the distance between Personalized Page Rank vectors, and the other on Named Entities matching counts. The results obtained are low, mainly due to the simplicity of the system. In any case, the use of stacking for merging different features results in a relevant increment in performance.
The Effect of Pre-Questioning and Skimming Techniques on Students' Reading Comprehension Achievement of Narrative Text

In teaching and learning reading in English, the comprehension towards the material is the main goal. The reality shows that the majority of the students encounter many problems in comprehending English texts. This research aims to figure out the effectiveness of pre-questioning and skimming techniques on students’ reading comprehension achievement on narrative text. The research was conducted quantitatively with quasi experimental as the design for the research. The samples were two classes with each class consist of 20 students, the Twelfth Grade Students of Senior High School Darussalam Sengkubang, Kalimantan Barat, and Indonesia. The writer used t-test to analyze the data. The writer put side by side the scores between the divided two classes, experimental class and control class. Based on the calculation, it was found that tcount value is 2.1253 and ttable value is 1.99947. The result of the data showed that the score of the experimental group was 76 and the control group was 72. The findings indicated that that Pre- questioning technique and Skimming techniques gave positive effect on students’ reading comprehension achievement. Base on this research, the teachers can use pre-questioning and skimming techniques when they teach because it was effectively to use when teaching on students’ reading comprehension.Keywords: effect, pre-questioning technique, skimming technique, reading comprehension achievement, narrative
Terahertz Spectroscopy and Applications

There has been a long and intimate relationship between frequency measurement and spectroscopy. For a time, wavelength based optical measurements and frequency based microwave measurements provided a measure of the speed of light. While as fundamental references these have been eclipsed by exquisite modern atomic measurements, frequency measurement and control still play a vital role in the terahertz (a.k.a. submillimeter) spectral region and are an important part of its rapidly developing technology. This paper is primarily from a terahertz (a.k.a. submillimeter) perspective and focus on the science and technology that has resulted. This includes discussions of the frequency chain that passes through the terahertz, as well as of the astronomy, atmospheric science, remote sensing, analytical chemistry, and imaging that reside there
Flow characteristic selection algorithm based on dynamic information in deep flow inspection

In the technology of deep flow inspection, the recognition and classification of the data flow need using the flow characteristics. The currently characteristic selection algorithm based on the information measurement compute the information entropy of characteristics in the whole sample space, without considering the characteristic selection is a dynamic and changing process, also cannot accurately measure the dependence degree between characteristics in specific selection process. Therefore, this paper puts forward a characteristic selection algorithm based on dynamic information standard, this algorithm takes full account of the changes of information entropy in the characteristic selection process, by removing redundant and useless information, it would achieve the accurate and efficient selection of characteristics. The experimental data shows that, the classification performance of the proposed flow characteristic selection algorithm based on dynamic information is better than the other selection algorithm in the aspect of precision rate and recall rate.
Traversing Environments Using Possibility Graphs with Multiple Action Types

Locomotion for legged robots poses considerable challenges when confronted by obstacles and adverse environments. Footstep planners are typically only designed for one mode of locomotion, but traversing unfavorable environments may require several forms of locomotion to be sequenced together, such as walking, crawling, and jumping. Multi-modal motion planners can be used to address some of these problems, but existing implementations tend to be time-consuming and are limited to quasi-static actions. This paper presents a motion planning method to traverse complex environments using multiple categories of continuous actions. To this end, this paper formulates and exploits the Possibility Graph---which uses high-level approximations of constraint manifolds to rapidly explore the "possibility" of actions---to utilize lower-level single-action motion planners more effectively. We show that the Possibility Graph can quickly find routes through several different challenging environments which require various combinations of actions in order to traverse.
A new DAG based Dynamic Task Scheduling Algorithm (DYTAS) for Multiprocessor Systems

The dynamic tasks scheduling of parallel tasks in multiprocessor systems is still a demanding problem that is being investigated by the researchers. However, the Directed Acyclic Graph (DAG) based dynamic tasks scheduling is not yet paid enough attention. In this paper a DAG based dynamic tasks scheduling model and a scheduling algorithm DYTAS (DYnamic TAsk Scheduling algorithm) has been proposed with a lower time complexity. Furthermore, the simulation experiments show that, the scheduling model and scheduling algorithm are feasible, a higher scheduling successful ratio may be obtained by this algorithm for parallel jobs with large number of tasks. General Terms Parallel program, Directed Acyclic Graph.
EGECC-MAES: Lightweight hybrid encryption algorithm in blockchain for smart health care in the Internet of Things platform

In recent years, health care Internet of things has become one of the most important and vital technologies for human health care needs. But the security challenge in this technology has made it unreliable. Research shows that blockchain with a decentralized approach and high security can improve the problems and limitations of communication devices in combination with the Internet of Things. Blockchain provides security using strong encryption techniques. The encryption technique presented in this article is a combination of symmetric and asymmetric encryption, which is as light as possible and can overcome the limitations of Internet of Things devices while providing high security. It is also effective in reducing energy consumption and time and data transfer calculations. According to the comparison and evaluation of the functional criteria of the obtained results, the presented method shows its high efficiency compared to other methods.
The Five Aspects Meal Model: a tool for developing meal services in restaurants

Preparing, planning and serving meals require several important steps before you can enjoy a meal. The meal takes place in a room ( room ), where the consumer meets waiters and other consumers ( meeting ), and where dishes and drinks ( products ) are served. Backstage there are several rules, laws and economic and management resources ( management control system ) that are needed to make the meal possible and make the experience an entirety as a meal ( entirety ‐ expressing an atmosphere ). These five factors are the major ones for developing meal service in restaurants, and together form the Five Aspects Meal Model (FAMM). Several studies have shown that the context of a meal is important for the acceptance and consumption of a meal. Accordingly, the context has to include the food product itself, the consumer and the environment. These three factors need to be considered in an integrated manner, because they affect each other. A qualitative study of restaurant consumers found that there are at least eight main categories of importance for the experience of the meal: restaurant atmosphere, core items of consumption, restaurant scene, personal service encounter, staff quality, visitors, restaurant decision process and individual circumstances. These categories can easily be related to the ‘Five Aspects Meal Model’. The essence of each factor is dependent upon different forms of knowledge, such as science, practical-productive, aesthetical and ethical.
A Dynamic Testing Scheme for Resistive-Based Computation-In-Memory Architectures

Computation-in-memory (CIM) is a promising solution to tackle the memory wall problem in big data and artificial intelligence applications. One possible approach to implement such a scheme is to use nonvolatile resistive memory technologies like spin transfer torque magnetic RAM (STT-MRAM) or resistive RAM (ReRAM). However, despite all the attractive features these technologies offer, they introduce new types of defects different from conventional SRAM technologies. Therefore, there is a need for dedicated testing algorithms that can detect such defects. In this paper, we proposed a testing scheme for CIM-capable memories that utilizes trim circuitry to dynamically switch between standard memory testing and CIM testing modes based on the speed and accuracy requirements, eliminating unnecessary testing overheads. This feature provides significant test time reduction while preserving the quality of the test. The proposed method is compatible with existing memory built-in self-test (MBIST) architecture and can be used for different types of emerging resistive memory technologies.
No Evidence for Mutations of CTCFL/BORIS in Silver-Russell Syndrome Patients with IGF2/H19 Imprinting Control Region 1 Hypomethylation

Background Silver-Russell syndrome (SRS) is a genetically and clinically heterogeneous disease. Although no protein coding gene defects have been reported in SRS patients, approximately 50% of SRS patients carry epimutations (hypomethylation) at the IGF2/H19 imprinting control region 1 (ICR1). Proper methylation at ICR1 is crucial for the imprinted expression of IGF2, a fetal growth factor. CTCFL, a testis-specific protein, has recently been proposed to play a role in the establishment of DNA methylation at the murine equivalent of ICR1. A screen was undertaken to assess whether CTCFL is mutated in SRS patients with hypomethylation, to explore a link between the observed epimutations and a genetic cause of the disease. Methodology/Principal Findings DNA was obtained from 36 SRS patients with hypomethylation at ICR1. All CTCFL coding exons were sequenced and analyzed for duplications/deletions using both multiplex ligation-dependent probe amplification, with a custom CTCFL probe set, and genomic qPCR. Novel SNP alleles were analyzed for potential differential splicing in vitro utilizing a splicing assay. Neither mutations of CTCFL nor duplications/deletions were observed. Five novel SNPs were identified and have been submitted to dbSNP. In silico splice prediction suggested one novel SNP, IVS2-66A>C, activated a cryptic splice site, resulting in aberrant splicing and premature termination. In vitro splicing assays did not confirm predicted aberrant splicing. Conclusions/Significance As no mutations were detected at CTCFL in the patients examined, we conclude that genetic alterations of CTCFL are not responsible for the SRS hypomethylation. We suggest that analysis of other genes involved in the establishment of DNA methylation at imprinted genes, such as DNMT3A and DNMT3L, may provide insight into the genetic cause of hypomethylation in SRS patients.
The Morphologically Organized Mental Lexicon Further Experimental Evidence

In theoretical linguistics, the notion of a morpheme as a discrete stored linguistic unit is not uncontroversial. Nonetheless, there is general agreement among linguists that lexical items are related to one another via rules or the equivalents that amount to morphological relationships. Outside the field of linguistics, however, cognitive scientists have argued that morphological relationships are, in fact, simply the by-products of semantic and phonological overlap between items: morphology is epiphenomenal (Seidenberg 1993, Gonnerman 1999, Plaut and Gonnerman 2000). Though many predictions stemming from these two perspectives depend on the specifics of the models used to implement them, repetition priming has been used as a means of addressing the general divide. Using a version of this paradigm, I test the hypothesis that semantic and phonological overlap are sufficient to account for priming results using as stimuli morphologically related words in which semantic and phonological overlap are minimal. Previous work has confounded semantic overlap with shared morphology (see Marslen-Wilson, Ford, Older, and Zhou 1996, Feldman 2000 for discussion). The present study exploits the observation that delayed repetition (items intervening between prime and target), priming does not yield semantic effects (Henderson, Wallace and Knight 1984): joy does not prime happiness as it does when the target immediately follows the prime, and further, hapless does not inhibit happiness as in immediate repetition. Morphologically related words, however, continue to prime one another even with the delay in target presentation (Kouider 2000, Bentin and Feldman 1990). My work focuses on the representation of derivational suffixes, which are morphemes in the traditional sense, but provide little semantic or formal overlap with other words that share them. I find that derived words that share a suffix significantly prime one another (happiness primes darkness) whereas their semantic and form relatives do not. These results constitute further experimental evidence in favor of a morphologically organized mental lexicon.
Fluid migration in the mantle wedge: Influence of mineral grain size and mantle compaction

Mineral grain size in the mantle affects fluid migration by controlling mantle permeability; the smaller the grain size, the less permeable the mantle is. Mantle shear viscosity also affects fluid migration by controlling compaction pressure; high mantle shear viscosity can act as a barrier to fluid flow. Here we investigate for the first time their combined effects on fluid migration in the mantle wedge of subduction zones over ranges of subduction parameters and patterns of fluid influx using a 2‐D numerical fluid migration model. Our results show that fluids introduced into the mantle wedge beneath the forearc are first dragged downdip by the mantle flow due to small grain size (<1 mm) and high mantle shear viscosity that develop along the base of the mantle wedge. Increasing grain size with depth allows upward fluid migration out of the high shear viscosity layer at subarc depths. Fluids introduced into the mantle wedge at postarc depths migrate upward due to relatively large grain size in the deep mantle wedge, forming secondary fluid pathways behind the arc. Fluids that reach the shallow part of the mantle wedge spread trench‐ward due to the combined effect of high mantle shear viscosity and advection by the inflowing mantle and eventually pond at 55–65 km depths. These results show that grain size and mantle shear viscosity together play an important role in focusing fluids beneath the arc.
Healthy Lifestyle Factors and Risk of Cardiovascular Events and Mortality in Treatment-Resistant Hypertension: The Reasons for Geographic and Racial Differences in Stroke Study

Few data exist on whether healthy lifestyle factors are associated with better prognosis among individuals with apparent treatment-resistant hypertension, a high-risk phenotype of hypertension. The purpose of this study was to assess the association of healthy lifestyle factors with cardiovascular events, all-cause mortality, and cardiovascular mortality among individuals with apparent treatment-resistant hypertension. We studied participants (n=2043) from the population-based Reasons for Geographic and Racial Differences in Stroke (REGARDS) study with apparent treatment-resistant hypertension (blood pressure ≥140/90 mm Hg despite the use of 3 antihypertensive medication classes or the use of ≥4 classes of antihypertensive medication regardless of blood pressure control). Six healthy lifestyle factors adapted from guidelines for the management of hypertension (normal waist circumference, physical activity ≥4 times/week, nonsmoking, moderate alcohol consumption, high Dietary Approaches to Stop Hypertension diet score, and low sodium-to-potassium intake ratio) were examined. A greater number of healthy lifestyle factors were associated with lower risk for cardiovascular events (n=360) during a mean follow-up of 4.5 years. Multivariable-adjusted hazard ratios [HR (95% confidence interval)] for cardiovascular events comparing individuals with 2, 3, and 4 to 6 versus 0 to 1 healthy lifestyle factors were 0.91 (0.68–1.21), 0.80 (0.57–1.14), and 0.63 (0.41–0.95), respectively (P-trend=0.020). Physical activity and nonsmoking were individual healthy lifestyle factors significantly associated with lower risk for cardiovascular events. Similar associations were observed between healthy lifestyle factors and risk for all-cause and cardiovascular mortality. In conclusion, healthy lifestyle factors, particularly physical activity and nonsmoking, are associated with a lower risk for cardiovascular events and mortality among individuals with apparent treatment-resistant hypertension.
Local Warming in Low Latitude Locations: A Time Series Analysis

Global warming is a well-known and well-studied phenomenon pertaining to a gradual increase of average global temperatures over time. Many global warming mathematical models make certain assumptions regarding the factors that impact global temperature. These assumptions include effects from increased global carbon dioxide levels in the atmosphere and the melting ice sheets, among others. This paper draws conclusions about temperature changes without the assumptions needed for the global warming mathematical models. Instead of using computer models to project temperatures on a global scale, 33 low-latitude locations in the southern United States were individually studied to see if each one has warmed over time. Each location’s daily high temperature was obtained for each day since January 1, 1970, and the data is analyzed using a statistical model that contains a linear effect coefficient, an annual seasonal trend, and a 10.7-year solar cycle trend, both well-known and commonlyaccepted periodic trends. The data is also analyzed using Fourier frequencies to check for other lesser-known periodic trends. The strongest trend is then added to the original model. Linear effect coefficients are calculated for each location using both the updated model and the original model to see how they compare to each other and global warming study results. Only using the 31 locations where these models fit, the original model yielded an average linear increase of 2.29 degrees Celsius per century, while the updated model showed an average linear increase of 2.33 degrees Celsius per century. Showing less than a 2% difference indicates that the original model is sufficient and that temperatures in low-latitude locations are increasing. Acknowledgment: Dr. Diana Ivankovic, Professor of Biology, Anderson University, and her student Eslie Aguilar did some of the data collection for this paper; we are thankful for their contribution. Also, this research was partially funded by a student/faculty research grant from South Carolina Independent Colleges and Universities.
The Mechanism and Dynamics of N‐S Rifting in Southern Tibet: Insight From 3‐D Thermomechanical Modeling

N‐S trending rifts are widely distributed in southern Tibet, suggesting that this region is under E‐W extension, behind the N‐S collision between the Eurasia and India plates. Geophysical anomalies and Miocene magma extrusions indicate the presence of dispersed weak zones in the middle to lower crust in southern Tibet. These weak zones are partially located underneath the N‐S rifting systems. In order to study the formation of rifts in collision zones, we have developed a high‐resolution 3‐D thermomechanical model of continental lithosphere with bidirectional compressional‐extensional deformation, and spatially localized weak and low‐density zones in the middle to lower crust. Our numerical experiments systematically reproduce the development of N‐S trending rifts. Model results reveal that the weak middle to lower crust triggers the development of normal faults in the upper crust and surface uplift, whereas regions without such weak layer or with small‐scale weak zones are characterized by strike‐slip faulting. Geodynamic properties (density, depth, and geometry) of the weak middle to lower crust and Moho temperature notably influence the rifting pattern. In addition, rifting formation is critically controlled by large E‐W extension, with the ratio of extensional to compressional strain rate larger than 1.5 in the model with continuous weak middle crust. Our simulated rifting patterns correlate well with the observations in southern Tibet; we conclude that a combination of the bidirectional compression‐extension and the presence of locally weak middle to lower crust triggered the development of the rifting systems in southern Tibet.