Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Affecting Sustainable Performance of Construction Projects during Project Life Cycle Phases

Sustainable development (SD) is one of the main challenges faced by the construction industry, which has acquired global attention. Sustainable performance (SP) of a construction project during its life cycle (LC) is considered crucial to achieve the SD. The aim of this paper is to investigate the factors affecting sustainable performance of construction projects throughout project life cycle phases in the Gaza Strip. A total of 53 sustainable factors (economic, social, and environmental sustainable factors) were identified through extensive literature review and confirmed by experts’ interviews and a pilot study. These factors are classified in relation to the project life cycle phases; inception phase, design phase, construction phase, operation phase, and demolition phase. A structured questionnaire survey is employed in this study for primary data collection. A total of 119 questionnaires were distributed randomly to engineers working in construction projects in the Gaza Strip to solicit their views regarding the factors affecting sustainable performance of construction projects throughout project life cycle phases. The results revealed that five factors among the top ten factors that impacting the sustainable performance of construction projects are classified under the construction phase, which confirmed that the construction process has the most effect on the projects SP. Three factors are classified under the inception phase, which assured that the inception of a potential project has a considerable effect projects. In addition, one factor was classified under operation phase and one factor was classified under demolition phase. The most common factors affecting the SP of construction project through the overall sustainability elements: reusable/recyclable element, provision of services, energy consumption, water cost, and water pollution assessment. Further studies are recommended to explore how to integrated sustainability concepts into the whole construction process in order to achieve sustainable construction project.
Assessment of past and current status of large dairy farms to assist future management concerns and as a model for expanding dairies worldwide

In order to predict future management needs the dairy industry needs to constantly assess the past and the current status of the industry. The objectives of this study were to: (1) Identify the past changes and current status of large well-managed dairies, (2) To provide management goals and identify areas of concerns for dairies that are stable or expanding, worldwide (3) assist in identifying and developing areas for future research to increase the efficiency and sustainability of the dairy industry worldwide. The data for this study were questionnaires from 17 dairy producers in Roosevelt and Curry Counties, the twenty-second and thirtieth largest United States dairy counties, respectively. The questionnaires were mailed to dairy farms throughout Roosevelt and Curry Counties in February of 2006. The respondents’ herds account for 38% of the dairy cows in Roosevelt and Curry Counties. The average herd size of respondents was 2,926. Respondents were asked to answer questions pertaining to their dairy farm management practices and concerns about the industry. Reproductive performance was found to be a top reason for culling while, the main health concern for producers was mastitis. Therefore reproduction and mastitis are two areas for future research and further improvement. Key words: Dairy producer, survey, management, large dairy herd.
Development of Interactive Story Book For Ecoliteration Learning to Stimulate Reading Interest in Early Grade Students Elementary School

Research aims to produce a storybook containing ecoliteracy education for elementary school students of good quality in terms of the validity, practicality, and effectiveness of a product. This type of research is Research and Development with the ADDIE model. The instruments used were validation questionnaires, observations, teacher response questionnaires and learning outcomes tests. The results of this study indicate that the validation of interactive storybooks for ecoliteracy learning gets an average coefficient of validation from the validator, which is very valid qualifications. The practicality of loading the teacher's response questionnaire gets a percentage of 97%, the results of teacher and student observations get a percentage of 91% and 94%. The effectiveness based on giving pretest and posttest to students amounted to 30 students in grade 1 and 30 students in grade 2 with an average pretest result of 74, while the average posttest was 90.8. The result indicates that there is a significant difference in the learning outcomes of early grade elementary school students using interactive story books. Based on the validation of the instrument and the recapitulation of the questionnaire filled in by the teacher, it can be stated that the quality of the interactive storybooks developed are very valid, practical and effective for use in learning. This interactive storybook can help early grade elementary school teachers in growing interest in reading related to ecoliteracy learning so that students' awareness of caring for and caring for the surrounding environment can be carried out from an early age.
BIOLOGICAL CONTROL OF CUCUMBER DAMPING–OFF CAUSED BY Pythium aphanidermatum

Seven treatments were applied to the soil in a greenhouse to control cucumber damping – off Trichoderma harzianum was used in the four of them. T.harzianum preparations applied to soils infested with Pythium aphanidermatum (natural and artificial) decreased disease incidence, severity and increased shoot dry weight. Mycelium and mycelial preparation appear to be more effective than conidia and conidial preparation. The mycelial preparation was the best in controlling the disease.
Moving beyond stereotypes: the role of gender in the environmental change and human mobility nexus

ABSTRACT Women are often assumed to be most vulnerable to environmental risk and climate change because of often-experienced constraints in mobility. A common-held assumption is that women are fixated in place and experience forced immobility in the context of environmental change, whilst the men can move to other places. In building on feminist and mobilities scholarship, this article critically interrogates this assumption and seeks to move towards a more plural understanding of gender-environment-mobility relations. Through a study of human mobility in coastal Bangladesh, we interrogate what it means for women to stay in places of environmental and climate risk and how staying may hamper or enhance small-scale mobilities. We also examine how labour mobilities by women get increased when moving to urban settlements as a response to environmental changes and lack of work in rural areas. In this manner, we demonstrate how gender-environment-mobility relations do not play out uniformly but are shaped by wider im/mobilities and specific social and environmental contexts.
State of the art: Three Dimensional (3D) Slope-Stability Analysis

Stability of slope is a major problem in the area of geotechnical engineering. The analysis and design of failing slopes and highway embankments requires an in-depth understanding of the failure mechanism in order to choose the right slope-stability analysis method. Two-dimensional (2D) slope-stability methods are the most commonly used methods among the engineers due to their simplicity. However, the assumptions used in these 2D methods are very simple which reduces the 3D problem to a 2D problem and hence the accuracy of the analysis results vary between the different analysis methods. The importance of 3D analysis of slope stability is greatly increased where the geometry is complex which makes it difficult to select a typical section for 2D analysis. Since 1990s, a lot many number of three-dimensional slope stability-analysis methods were developed based on limit equilibrium and finite element concept. Many of them are valid only under certain conditions. This paper basically focuses on the literature review of 3D slope stability by various researchers.
Comparison of D2 versus D1 gastrectomy in Kashmiri patients in a tertiary care cancer centre

Background: The aim of this study was to compare the clinical outcomes, survival, morbidity and mortality of D1 and D2 gastrectomy in Kashmiri population in a high-volume tertiary care centre.Methods: Data were collected retrospectively from the prospective database maintained by Department of Surgical Gastroenterology at SKIMS, Kashmir India. We did direct comparison of D1 and D2 gastrectomy in gastric cancer patients who underwent surgery between January 2016 to December 2021 and fulfilled the eligibility criteria. A total of 98 patients were included in the study of which 46 underwent a D1 gastrectomy and 52 underwent a D2 gastrectomy.Results: Male-female ratio was 3:1 in both groups with a mean age of 61 years. There was no significant difference in terms of age or gender between D1 and D2 groups (p>0.05). The mean number of harvested lymph nodes (LN) was (7±1.9) in the D1 group compared to (27.6±10.1) the D2 group (p=0.001). Average hospital stay was comparable in both groups. The median survival was 26 months for the D2 and 19 months for the D1 group (p≤0.01). The survival in the D2 group was significantly higher than in the D1 group. There was no difference in postoperative complications between two groups in our study.Conclusions: our study indicates that D2 gastrectomy should be the standard of treatment for advanced stage II /III disease as it improves the survival outcome in these patients without affecting overall hospital stay, morbidity and mortality.
Rtt105 configurationally staples RPA and blocks facilitated exchange and interactions with RPA-interacting proteins

Replication Protein A (RPA) binds to single-stranded DNA (ssDNA) and recruits over three dozen RPA-interacting proteins (RIPs) to coordinate multiple aspects of DNA metabolism including DNA replication, repair, and recombination. Rtt105 is a molecular chaperone that regulates nuclear localization of RPA. Whether and how Rtt105 regulates the activities of RPA is poorly understood. Here, we show that Rtt105 binds to multiple DNA binding and protein-interaction domains of RPA and configurationally staples the complex. In the absence of ssDNA, Rtt105 inhibits RPA binding to Rad52, thus preventing spurious binding to RPA-interacting proteins (RIPs). When ssDNA is available, Rtt105 promotes formation of high-density RPA nucleoprotein filaments and dissociates during this process. Free Rtt105 further stabilizes the RPA-ssDNA filaments by inhibiting RPA facilitated exchange. Collectively, our data suggest that Rtt105 sequesters free RPA in the nucleus to prevent untimely RIP interaction, while stabilizing RPA-ssDNA filaments at DNA lesion sites.
EVALUATION OF SMOKING EFFECT ON TELOMERE LENGTH OF THE CHROMOSOMES OF ALZHEIMER’S PATIENTS

Background: Alzheimer’s disease (AD) is a common and severe neurodegenerative disorder. Human chromosomes telomeres are essential for the maintenance of genomic stability and play prominent roles in both cellular senescence and ageing of the organisms. Regulation of telomere length (TL) is a result of complex interaction between environmental and genetic factors. Aim: measuring the length of telomere length in AD patients by Quantitative Florescence in Situ Hybridization (Q-FISH) methodology and studying of smoking as an environmental risk factor in the development of Alzheimer's disease. Subjects and Methods: This study included 10 AD patients and 10 controls. All blood samples were collected measured by using Q-FISH to assess the telomere length. Results: It was found a significant difference in TL between AD patients and the controls, with a standardized mean difference resulted p = 0.03 were considered statistically significant which is still significant p < 0.05. Smokers had shorter telomeres length in AD patients than non-smokers. Conclusion: A significant correlation was found between AD and telomere length shortening. The environmental influence of smoking had an additional effect on telomere shortening in AD. Journal of Environmental Sciences (JES) Institute of Environmental Studies and Research, Ain Shams University
EFFECT OF TYPE OF PACKAGE AND STORAGE ON INSECT POPULATION OF Gibbium psylloids (ZEMP.), ON THE QUALITY AND QUANTITY OF DRY CHAMOMILE.

The effect of post harvest treatment and the hump beetle , Gibbium psylloids (Zemp.), on the quality and quantity of dry chamomile flower heads was studied. Results, after storage period of two years, revealed that the glass jar packing received the lowest insect population, followed by plastic net then card box, while the highest insect population was observed in polyethylene bag. The highest weight loss of dry chamomile flower heads occurred in plastic net and the lowest in glass jar, at the end of the second year of storage. The essential oil percentage decreased by increasing the storage period in all experimental packages. Acid number decreased in all package except in polyethelene bag, which recorded an increase in acid number after two years storage.
Great technology, football and ...'

This study focuses on stereotypes about Germany, its culture and people, held by learners of German in a big public university in Malaysia. It examines not only the stereotypical representations of the target language country but also assesses its favourability and salience, which has not been done previously. The findings revealed that the students’ stereotypes about Germany were varied and diverse. Also, they were overwhelmingly positive. The top three salient categories of images about Germany were related to technology, famous personalities – for the most part football players and scientists – and cars. The findings also indicated that very few references had been made to German culture and to its great cultural figures. The results of the present study suggest that students could benefit from a wider and deeper exposure to German culture in the language classroom.
The Efficient Implementation of Face Mask Detection Using MobileNet

Under the condition of the global pandemic, Wearing the mask in the public area is the direct and ordered action to prevent the spreading of the virus. Therefore, developing the machine learning model to detect whether the mask is appropriately wearing is practical and meaningful. This paper unfolded the mask recognition based on the MobileNet model, which belongs to one of the branches of Convolutional Neural Network, CNN for short, in the deep learning field. With the background and tremendous needs of face mask detection, in the beginning, we go through the review of the MobileNet’s history and the practicability of it on demanding functions. After that, we explained in a more detailed way to help gain a better understanding of MobileNet’s structure and how those differences make it outstanding. During the experiment, approximately 9000 images were used as inputs by the model for training and optimizing. The result turns to the less weighted model presenting an acceptable accuracy of 87.96% and 93.5% for testing whether a person wears a mask and whether the mask is covered correctly correspondingly. We also discovered several shortcomings and limitations during the testing process. Those problems and some of the possible further directions of MobileNet will be discussed. As a result, the MobileNet shows the huge probability for further improvement to be equipped into the small-scale but sophisticated utensil.
Preserving snapper spinach (Amaranthus hybridus) using ozone technology and cold temperature

Indonesia has abundant natural resources, one of which is agricultural products. One of the abundant agricultural products in Indonesia is snapper spinach (Amaranthus hybridus) which contains various kinds of nutrients. Snapper spinach can contain harmful contaminants, one of which is E. coli bacteria. These bacteria can cause snapper spinach to rot easily, so it needs to be removed or reduced. This study aims to determine the effect of ozone and/or cold temperatures on the shelf-life quality of snapper spinach (Amaranthus hybridus). The research methods include the preparation process, the washing process, the storage process (using ozone, cold temperatures, and cold ozone). The results of the study were tested using the TPC test. The best research result is that the process of adding cold temperatures after the ozone method treatment is very influential both in terms of physical and in terms of microbial contamination, seen in samples treated with ozone washed using water and stored at cold temperatures looks better than those stored at room temperature.
Evidence for Magnetic Fractional Excitations in a Kitaev Quantum-Spin-Liquid Candidate α-RuCl3

It is known that α-RuCl3 has been studied extensively because of its proximity to the Kitaev quantum-spin-liquid (QSL) phase and the possibility of approaching it by tuning the competing interactions. Here we present the first polarized inelastic neutron scattering study on α-RuCl3 single crystals to explore the scattering continuum around the Γ point at the Brillouin zone center, which was hypothesized to be resulting from the Kitaev QSL state but without concrete evidence. With polarization analyses, we find that, while the spin-wave excitations around the M point vanish above the transition temperature T N, the pure magnetic continuous excitations around the Γ point are robust against temperature. Furthermore, by calculating the dynamical spin-spin correlation function using the cluster perturbation theory, we derive magnetic dispersion spectra based on the K–Γ model, which involves with a ferromagnetic Kitaev interaction of –7.2 meV and an off-diagonal interaction of 5.6 meV. We find this model can reproduce not only the spin-wave excitation spectra around the M point, but also the non-spin-wave continuous magnetic excitations around the Γ point. These results provide evidence for the existence of fractional excitations around the Γ point originating from the Kitaev QSL state, and further support the validity of the K–Γ model as the effective minimal spin model to describe α-RuCl3.
Classification of Rastrelliger kanagurta and Rastrelliger brachysoma using Convulational Neural Network (CNN)

Mackerel is an important commercial caught fish for local fishermen, including Rastrelliger kanagurta and Rastrelliger brachysoma. However, to distinguish these two species is rather difficult because of their similar appearance. Convolutional Neural Network (CNN) is a deep learning method that can be used to classify images. One of parameters contributing to the level of accuracy is the layers number applied in CNN architecture. This study aims to classify those two species using CNN with a range of two to five convolutional layers architectures i.e CNN1, CNN2, CNN3 and CNN4, respectively. In this study, 434 images were used as a training group with 217 images for each class. The validation group consisted of 21 images for each class and the test group consisted of 19 images. The results showed that the CNN3 provided the best training and validation accuracy of respectively 100% and 92.6%. The lowest value of training loss and validation loss of 0.000057 and 0.49. The accuracy values of the CNN models using different testing images reached 94.7%.
PARS-NET: a novel deep learning framework using parallel residual conventional neural networks for sparse-view CT reconstruction

Sparse-view computed tomography (CT) is recently proposed as a promising method to speed up data acquisition and alleviate the issue of CT high dose delivery to the patients. However, traditional reconstruction algorithms are time-consuming and suffer from image degradation when faced with sparse-view data. To address this problem, we propose a new framework based on deep learning (DL) that can quickly produce high-quality CT images from sparsely sampled projections and is able for clinical use. Our DL-based proposed model is based on the convolution, and residual neural networks in a parallel manner, named the parallel residual neural network (PARS-Net). Besides, our proposed PARS-Net model benefits from a loss based on the geodesic distance to effectively reflect image structures. Experiments have been performed on the combination of two large-scale CT datasets consisting of CT images of whole-body patients for different sparse projection views including 120, 60, and 30 views. Our experimental results show that PARS-Net is 4–5 times faster than the state-of-the-art DL-based models, with fewer memory requirements, better performance in other objective quality evaluations, and improved visual quality. Results showed that our PARS-Net model was superior to the latest methods, demonstrating the feasibility of using this model for high-quality CT image reconstruction from sparsely sampled projections.
Bias amplification of unobserved confounding in pharmacoepidemiological studies using indication‐based sampling

Estimating causal effects in observational pharmacoepidemiology is a challenging task, as it is often plagued by confounding by indication. Restricting the sample to those with an indication for drug use is a commonly performed procedure; indication‐based sampling ensures that the exposed and unexposed are exchangeable on the indication—limiting the potential for confounding by indication. However, indication‐based sampling has received little scrutiny, despite the hazards of exposure‐related covariate control.
Awareness and Support of Clinician- and Patient-Collected Human Papillomavirus Testing for Cervical Cancer Screening Among Primary Care Clinicians

Background: Cervical cancer screening has shifted toward human papillomavirus (HPV)-based testing, but uptake of primary HPV screening in the United States is unknown and previous studies highlight delays in clinician adoption of guideline updates. Methods: We conducted a cross-sectional electronic survey of primary care clinicians (n = 252; response rate = 30.9%) assessing awareness and support of primary HPV screening. We assessed factors for association with past use of HPV testing and support of clinician- and patient-collected HPV testing individually using Fisher's exact test and jointly using Firth's logistic regression. Results: Most clinicians (79%) were familiar with one or more primary HPV screening guidelines. Support for clinician-collected (89%) and patient-collected (82%) HPV testing was high, but only 34.5% reported prior use. Guideline familiarity was positively associated with HPV testing in practice (p = 0.0001). Support of clinician-collected testing was positively associated with more years in practice (p = 0.03), internal (vs. family) medicine specialty (p = 0.03), and guideline familiarity (p ≤ 0.0001). Male clinicians more frequently supported patient collection for patients overdue for screening (p = 0.013). Physicians more frequently than advanced practice providers (APPs) supported patient collection for screening-adherent women (p = 0.021). Multivariable analysis showed those unfamiliar with guidelines were less likely to have used HPV testing [odds ratio, OR: 0.10 (0.03–0.32)] or to support clinician-collected HPV testing [OR: 0.16 (0.07–0.37)]. APPs were less likely than physicians to support patient-collected HPV testing among screening-adherent women [OR: 0.42 (0.20–0.87)]. Conclusions: We observed high levels of guideline awareness and clinician support for primary HPV testing, despite relatively low use. This merits further exploration to inform future interventions to increase uptake.