Miracle-dz/UniFAR-FTUs huggingface dataset:
Multidisciplinary Approaches (JESMA)

The purpose of this cross sectional survey research was to assess whether staff hope offered similar academic achievement and school climate outcomes as student hope. Primary data were collected from 405 staff from 45 schools in one U.S. state who responded to the Perceived Hope Scale using Qualtrics. Secondary data were collected from the state’s school performance report. Results from correlation analysis indicated staff hope scores were unrelated with school socioeconomic status, but related with one measure of school climate – student to faculty ratio. Multiple regression analysis indicated student to faculty ratio predicted staff hope when modeled with school level socioeconomic status, offering a potential practical finding. The findings overall, however, did not suggest that staff hope offered similar outcomes as student hope regarding academic achievement. This study contributes to the hope in schools evidence base and provides support for future research to examine the role of staff hope to influence school and student outcomes. A delimitation of this research is the findings are specific to one U.S. state. The author did not receive funding to support this research.
Identi�cation of Chromatin Accessibility During The Early Stage of Pig SCNT Embryo Reprogramming by ATAC-Seq

Background: Somatic cell nuclear transplantation (SCNT) can transform highly differentiated donor nuclei into pluripotent nuclei through the large-scale reprogramming of chromatin. The reprogramming of chromatin has been documented to take place in the �rst few hours after SCNT embryo activation. Thus, studies that characterize dynamic changes in chromatin during the �rst few hours after embryo activation could provide insight into the mechanism and signi�cance of genome-wide reprogramming. However, few studies have examined the epigenetic remodeling of reconstructed embryos during the early stage of reprogramming. Results: We conducted ATAC-seq on 50 porcine SCNT-HMC embryos and 50 parthenogenetic activation (PA) embryos 10 h after activation. Along with pig embryonic �broblast (PEF) ATAC-seq data, we found low levels of chromatin accessibility and gene transcription in SCNT and PA embryos. Moreover, PEF genes and the X chromosome became inaccessible during embryo reprogramming. GO enrichment analysis revealed that the molecular functions related to accessible chromatin in embryos primarily included transcriptional regulatory activity and SMAD binding. The differentially accessible chromatin sites between SCNT and PEF were primarily related to transcriptional activity and histone modi�cation. Conclusions: Despite the tight chromatin structure during the early stage of embryo reprogramming, some accessible chromatin sites, which were primarily distributed in the intergenic region, were still detected. Dynamic changes in chromatin accessibility during reprogramming were primarily related to transcriptional activity and histone modi�cation. Generally, this study provided new insight into the dynamics and importance of chromatin accessibility during the early stages of embryo reprogramming.
Company Support for Special Needs Education Teachers

Special education teachers have more burnout than other teachers. In many cases, an unsupportive work environment led to stress, followed by burnout and a desire to quit the profession. The way they deliver services to special needs children, require different approaches and treatments than other children, will be impacted by the organization’s lack of support. This study aimed to investigate how Indonesian special needs education teachers perceived organizational support. Focus Group Discussions (FGDs), a qualitative methodology, were used in the study with 10 special education teachers from various regions. The Perceived Organizational Support Scale developed by Rhoades and Eisenberger’s (2002) theory served as the basis for the participant’s questions and discussions. The findings of this study suggested that their employers’ assistance in terms of fairness, supervision support, organizational reward and job conditions was still lacking. Special needs education teachers in private schools and special needs education teachers in public schools have distinct regulatory approaches to staff welfare and health, which has an impact on the performance of taking care of children with special needs.
American Society for Gastrointestinal Endoscopy guideline on the role of endoscopy in the diagnosis of malignancy in biliary strictures of undetermined etiology: summary and recommendations

provides an evidence-based approach for the diagnosis of malignancy in patients with biliary strictures of undetermined etiology. This document was developed using the Grading of Recommendations Assessment, Development and Evaluation framework and addresses the role of ﬂ uoroscopic-guided biopsy sampling, brush cytology, cholangioscopy, and EUS in the diagnosis of malignancy in patients with biliary strictures. In the endoscopic workup of these patients, we suggest the use of ﬂ uoroscopic-guided biopsy sampling in addition to brush cytology over brush cytology alone, especially for hilar strictures. We suggest the use of cholangioscopic and EUS-guided biopsy sampling especially for patients who undergo nondiagnostic sampling, cholangioscopic biopsy sampling for nondistal strictures and EUS-guided biopsy sampling distal strictures or those with suspected spread to surrounding lymph nodes and other structures. (Gastrointest Endosc 2023; - :1-9.)
Development of electronics and solar panel for portable solar cell lamp

The aim of this project has been to develop a solar panel and the electronics for a portable solar powered lamp. The system mainly consists of a solar panel, a light source, a battery and an USB outlet for the user to be able to charge e.g. a mobile phone. The goal has been to deliver production material for a final product. A solar cell is a semiconductor device that directly transforms the energy in sunlight to electric energy in form of direct current. The voltage and current generated by a solar cell are dependent of the irradiance, temperature, cell efficiency and work load. The solar cell has a point, depending on these parameters, at which maximum power is generated, called the maximum power point. To harvest as much energy as possible from the solar cells some sort of control is needed. A technique called maximum power-point tracking is the most effective but also the most complicated solution. In this project a more simple method was used that only controls the voltage across the solar panel. For a specific cell temperature, the voltage at the maximum power point is roughly the same regardless of irradiance. The battery used in this project is a single cell Lithium-Polymer battery. The lack of memory effect is a very important feature since the battery will be charged as soon as there is sunlight available. The light source in this product is a 1 W Power LED. To make sure that the light exchange doesn’t vary the current through the LED is controlled. By having two different values of the current, two different light intensities are achieved. A solar panel and a printed circuit board with components has been manufactured and tested. On a fully charged battery the LED could be turned on at full light nearly 10 hours and at half light 22 hours.
The Cascadia Initiative: A Sea Change In Seismological Studies of Subduction Zones

Author Posting. © The Oceanography Society, 2014. This article is posted here by permission of The Oceanography Society for personal use, not for redistribution. The definitive version was published in Oceanography 27, no. 2 (2014): 138-150, doi:10.5670/oceanog.2014. 49.
Plug Your Volt: Protecting Intel Processors against Dynamic Voltage Frequency Scaling based Fault Attacks

The need for energy optimizations in modern systems forces CPU vendors to provide Dynamic Voltage Frequency Scaling (DVFS) interfaces that allow software to control the voltage and frequency of CPU cores. In recent years, the accessibility of such DVFS interfaces to adversaries has amounted to a plethora of fault attack vectors. In response, the current countermeasures involve either restricting access to DVFS interfaces or including additional compiler-based checks that let the DVFS fault occur but prevent an adversary from weaponizing it. However, such countermeasures are overly restrictive because (1) they prevent benign, non-SGX processes from utilizing DVFS, and (2) rely upon a less practical threat model than what is acceptable for Intel SGX. In this work, we hence put forth a new countermeasure perspective. We reason that all DVFS fault attacks are helped by system design decisions that allow an adversary to search through the entire space of frequency/voltage pairs which lead to DVFS faults on the victim system. Using this observation, we classify such frequency/voltage pairs causing DVFS faults as unsafe system states. We then develop a kernel module level countermeasure (in non-SGX execution context) that polls core frequency/voltage pairs to detect when the system is in an unsafe state, and force it back into a safe state. Our countermeasure completely prevents DVFS faults on three Intel generation CPUs: Sky Lake, Kaby Lake R, and Comet Lake, while allowing accessibility of DVFS features to benign non-SGX executions (something which prior works fail to achieve). Additionally, we also put forth the notion of maximal safe state, allowing our countermeasure to be implemented both as microcode (on the micro-architecture level) and as model-specific register (on the hardware level), as opposed to prior countermeasures which can not be implemented at the hardware level. Finally, we evaluate the overhead of our kernel module’s execution on SPEC2017 , observing an minuscule overhead of 0 . 28%.
WORTHY MICROPROPAGATION PROTOCOLS OF SEVEN CULTIVARS OF POMEGRANATE (PUNICA GRANATUM L.) CULTIVARS IN THE PROVINCE OF DUHOK, KURD ISTAN RIGION OF IRAQ.

An efficient attempt was conducted to increase the mass production of seven local cultivars of pomegranate (Punica granatum L.) Masafik, Melisse, Radisho, Armishte, Diala, Halapja, and Dwarf pomegranate cultured in the Kurdistan region of Iraq from October 2021 to February 2023. Micropropagation technique was applied using eight combinations of plant growth regulators (PGRs) added to two media (MS and WPM). The results indicated that immersing explants in 70% Ethyl alcohol (EtOH) for (2 minutes) followed by immersion in (2.5%) Sodium Hypochlorite (NaOCl) plus 3 drops of tween 20 for 13 mins. was the more suitable combination for explant sterilization. MS and WPM media salts supplemented together with eight combinations of PGRs were carried out to evaluate the more suitable combination for the initiation stage. The obtained data clarified that the ½ strength of the MS medium (1/2 MS) supplemented with 0.5 BAP plus 0.5 mg/l Kinetin increases the pomegranate explant initiation response percentage. WPM basal medium was the preferred media to be used in the multiplication stage. The impact of different levels and protocols of Cytokinins, Auxins, and Gibberellins were investigated by eight protocols including using BAP, GA3, and adenine sulfate. The outcomes indicated that adding both concentrations of BAP (0.5 and 1.0 mg/l) separately supported by GA3 and adenine sulfate in amounts of (0.3 and 30 mg/l) respectively again were the most suitable protocol that affected the multiplication of regenerated shoots when compared to using BAP alone. Valuable results were found in rooting response after 6 weeks by using ½ strength of MS media along with two levels of Auxins (NAA, and IBA). Moreover, the visual observation records that around 85-90% of rooted cultures were successfully acclimatized by transferring the cultures from in vitro to the ex-vitro environment. Finally, Dwarf cultivars exceed all the other cultivars in studded parameters.
ST-PCT: Spatial–Temporal Point Cloud Transformer for Sensing Activity Based on mmWave

The millimeter-wave (mmWave) spectrum has become a core of wireless communication, which has the advantages of richer spectrum resources, larger communication bandwidth, and smaller spectrum interference. Human activity recognition (HAR) by mmWave radar based on point cloud attracts significant attention due to its nature of privacy-preserving, which is an important task of realizing integrated sensing and communication (ISAC). This article proposes a framework of spatial–temporal point cloud transformer (ST-PCT) to realize high precision of HAR, based on sequential point cloud after preprocessing from mmWave radar without voxelization. In ST-PCT, it consists of four enhanced components: 1) a framewise spatial neighbor embedding module to extract the local feature; 2) a temporal and spatial attention mechanism module to find connections within and across frames; 3) an optimized attention mechanism to improve the efficiency of feature extraction; and 4) a sensor fusion module with more motion information to improve the difference between activities. We experimentally evaluate the efficiency of our framework compared with several approaches based on the voxelization or point cloud directly. The experimental results have demonstrated that the proposed ST-PCT network greatly outperforms the other approaches in terms of overall accuracy (oAcc), achieving 99.06% and 99.44%, respectively, on two data sets.
Examining the Effects of Juvenile Drug Treatment Courts: A Systematic Review and Meta-Analysis

We meta-analytically examined program graduation rates among juvenile drug treatment court (JDTC) participants, the effects of JDTCs on recidivism and substance use outcomes, and the variability in these effects. We systematically searched for controlled evaluations examining the effects of U.S.-based JDTCs relative to traditional juvenile adjudication and used mixed-effects meta-regressions with robust variance estimates. We identified 55 eligible samples (providing data from 12,310 participants); the overall certainty of evidence was low or very low. The average graduation rate among JDTC participants was 54.74% (95% confidence interval [CI] [0.50, 0.59]). JDTCs had modest beneficial effects on general recidivism assessed during court supervision (odds ratio [OR] = 1.38, 95% CI [1.03, 1.84]) but these effects did not persist after program completion. Correlational analyses suggest JDTCs may be effective when program enrollment and service provision are better tailored to youth’s treatment needs. However, due partly to implementation failures, JDTCs may have minimal to no effects on postprogram recidivism.
BODY TO SENSOR CALIBRATION PROCEDURE FOR LOWER LIMB JOINT ANGLE ESTIMATION APPLIED TO IMU-BASED GAIT ANALYSIS

Inertial measurement units (IMU) are broadly used in gait analysis and have shown to be suitable to measure joint kinematics. The aim of this study is to investigate a calibration procedure to estimate body-to- sensor alignment in order to define anatomical quaternions. The procedure was performed in healthy subjects while remaining in standing position. After calibration, lower limb joint kinematics were assessed during gait trials. The results showed that the joint angles measured with this procedure were within the range of gait data reported in the reference literature, with interesting levels of low variation across trials (Table 2). In conclusion, the calibration procedure described in this work is simple, fast and do not require any additional tools or predefined/complex limb movements, which are desirable characteristics for use in clinical scenarios. Although the results were encouraging, further investigations on the reliability of such procedure will be performed in the near future.
Contesting modernism : communities and the pacific salmon revitalization plan

This thesis explores the role for social work in addressing government policies that threaten the sustainability of small coastal communities. The response of government and industry to the globalization of trade and resource degradation is at odds with the needs of people. Utilizing a case study methodology the development and implementation of the Pacific Salmon Revitalization Plan is explored. This department of fisheries plan to rationalize the fishery was highly contested on the grounds that it took jobs out of small coastal communities. It was accused of benefiting the large fishing corporations and the urban based fishing fleet, which had the capital to profit from the plan. Concentrated opposition from coastal communities, fishers, advocacy groups and academics was unsuccessful in changing the plan. The assumptions of modernism expert knowledge, scientific rationality and orthodox economics as well as distorted communications, were postulated to be behind this lack of success. A post modern analysis suggests that a successful challenge to the plan would have incorporated the local knowledge of fishers and coastal communities within a process of fair and equitable public discourse aimed at reaching intersubjectively mediated understanding. For social work this demonstrates the need to work conjointly with communities and affected groups to identify the modernist assumptions on which policy decisions are based and develop locally derived alternatives to these assumptions. And most importantly, that the focus of social change efforts be on demanding a process for discussion and decision-making that ensures that the concerns of effected individuals will be fairly addressed.
Short-term efficacy of stenting as a rescue therapy for acute atherosclerotic occlusion in anterior cerebral circulation

Purpose The study aimed to explore the efficacy and safety of the Neuroform EZ stent in treating acute anterior circulation large artery occlusion. Methods The clinical data of 42 consecutive patients with acute anterior circulation large atherosclerotic occlusion who were treated with the Neuroform EZ stent from January 2018 to August 2019 in our stroke care center, including baseline characteristics, images, therapeutic condition, and follow-up data were retrospectively analyzed. Results There were 42 mechanical thrombectomy (MT) failure cases of intracranial atherosclerotic stenosis with rescue Neuroform EZ stent implantation, of which 78.6% (33/42) had a good prognosis and 88.1% (37/42) showed no re-stenosis at follow-up. The average time from puncture to recanalization is 79.50 ± 14.19 min. The successful rate of intraoperative stent release is 97.6%, while there is one case of stent displacement, three cases of thrombus escape, and six cases of hemorrhage. Conclusion Rescue therapy of the Neuroform EZ stent for acute anterior circulation large atherosclerotic occlusion can archive good short-term imaging and clinical results, while long-term follow-up is still needed to verify.
Quantifying the economic importance of irrigation water reuse in a Chilean watershed using an integrated agent‐based model

Irrigation with surface water enables Chilean agricultural producers to generate one of the country's most important economic exports. The Chilean water code established tradable water rights as a mechanism to allocate water amongst farmers and other water‐use sectors. It remains contested whether this mechanism is effective and many authors have raised equity concerns regarding its impact on water users. For example, speculative hoarding of water rights in expectations of their increasing value has been described. This paper demonstrates how farmers can hoard water rights as a risk management strategy for variable water supply, for example, due to the cycles of El Niño or as consequence of climate change. While farmers with insufficient water rights can rely on unclaimed water during conditions of normal water availability, drought years overproportionally impact on their supply of irrigation water and thereby farm profitability. This study uses a simulation model that consists of a hydrological balance model component and a multiagent farm decision and production component. Both model components are parameterized with empirical data, while uncertain parameters are calibrated. The study demonstrates a thorough quantification of parameter uncertainty, using global sensitivity analysis and multiple behavioral parameter scenarios.
AI Animation Character Behavior Modeling and Action Recognition in Virtual Studio

—With the advancement of virtual broadcasting technology, the use of artificial intelligence animated characters in virtual scenes is becoming increasingly widespread. However, there are still a series of challenges and limitations to make the behavior of animated characters more natural, intelligent, and diverse. Therefore, this study proposes a behavior tree based animation character behavior modeling and a short-term memory action recognition method combining human geometric features. The research results indicate that when the behavior modeling model faces different obstacles, the successful avoidance rate is over 80%, and the avoidance reaction time is 0.41s-0.65s. The accuracy and loss function values of the action recognition method gradually converge to 1 and 0 with the quantity of iterations grows. For the recognition of seven types of actions, the accuracy of raising the left hand, raising the right hand, waving the left hand, and waving the right hand reaches 100%, and the recall rate of raising the right hand is 100%. The majority of action types have F-value scores above 0.9. Relative to the recurrent neural network model, the accuracy of the double-layer long-term and short-term memory model is 95.8%, which is significantly better than the former's 86.3%, showing better recognition performance. In summary, modeling and identifying the behavior of artificial intelligence animated characters can make the characters in virtual broadcasting more intelligent, natural, and realistic, thereby improving the viewing experience of virtual broadcasting, which has important practical value and research significance. This has significant practical and research value, providing insightful references for related fields.
An Artificial Intelligence Method for Automatic Assessment of Fuzzy Semantics in English Literature

—This Online writing and evaluation are becoming increasingly popular, as is automatic literature assessment. The most popular way is to obtain a good evaluation of the essay and article is by the automatic scoring model. However, assessing fuzzy semantics contained in reports and papers takes much work. An automated essay and articles assessment model using the long-short-term memory (LSTM) neural network is developed and validated to obtain an appropriate assessment. The relevant theoretical basis of the recurrent neural network is introduced first, and the quadratic weighted kappa (QWK) elevation method is cited here to develop the model. The LSTM network is then awarded for developing the general automatic assessment model. The available model is modified to get better performance by adding a convolutional layer(s). Finally, a data set of 7000 essays is segmented based on the ratio of 6:2:2 to train, validate, and test the model. The results indicate that the LSTM network can effectively capture the general properties of the essay and articles. After adding the convolutional layer(s), the LSTM+convolutional layer(s) model can get better performance. The QWK values are higher than 0.6 and have an improvement of 0.097 to 0.134 compared with the LSTM network, which proves that the results of the LSTM network combined with the convolutional layer(s) model are overall satisfactory, and the modified model has practical values.