Miracle-dz/UniFAR-FTUs huggingface dataset:
Drivers and barriers to sustainability practices in the Zambian Construction Industry

Abstract Zambia, and Sub-Sahara Africa (SSA) generally, is lagging behind in the area of sustainable construction due to several barriers to the implementation of sustainable construction. This study therefore explored drivers and barriers to the adoption of sustainable construction practices in Zambia. The study could inform stakeholders on measures which could improve the implementation of sustainable construction. The study used an online quantitative questionnaire survey of construction professionals and clients. A total of 112 responses were received representing various stakeholder groups in the construction industry. The data were subjected to factor analysis and ranked using the relative importance index. The data show that drivers to sustainable construction cluster into three constructs namely, environment and health-related factors, regulatory and industry-related factors and, economy and firm-related factors. Barriers clustered into three groups namely, awareness and knowledge-related factors, regulatory and industry-related factors and, economy and cost-related factors. Therefore, measures aimed at improving sustainable construction in Zambia should focus attention on these broad clusters.
Visceral Adiposity Index: A Simple Tool For Assessing Risk Of Type 2 Diabetes Mellitus.

BACKGROUND The prevalence of type 2 diabetes mellitus (T2DM) has increased recently in Pakistan. Visceral adiposity index (VAI) appears to be a better predictor for metabolic syndrome associated with insulin resistance. VAI has been shown to be linearly and positively associated with diabetes mellitus (DM) in many populations. It is, however, uncertain whether VAI could be associated with T2DM in the Pakistani adult population. METHODS This is a cross-sectional study of 300 outpatients with a newly diagnosed T2DM. Subjects were recruited from Lady Reading Hospital, Pakistan, during the period from April, 2020 to January, 2021. For all study subjects, anthropometric measurements were performed. Blood samples were collected for the assessment of high-density lipoproteins (HDL-C), triglycerides (TGs), glycated hemoglobin (HbA1c), and random blood glucose. RESULTS Participants with high VAI showed poor glycemic control. The number of patients with poor glycemic control increased across the VAI quartiles. VAI showed significant correlations with TGs (r=0.715, p=<0.001), total cholesterol (TC) (r=0.256, p=<0.001), low density lipoprotein (LDL-C) (r=0.154, p=0.007), uric acid (r=0.205, p=0.019), duration of diabetes (r=0.171, p=0.033), TSH (r=0.163, p=0.007), and random blood glucose (r=0.195, p=0.019). CONCLUSIONS Our data suggest that VAI is significantly and positively correlated with the risk factors of DM such as random blood glucose, uric acid and TSH. The findings of the study do not imply a significant direct association between VAI and DM among the Pakistani adult population. Prospective-large scale studies can help inform an effectiveness of VAI for the prediction of the risk of T2DM among Pakistani population.
Perspectives and experiences with COVID-19 vaccines in people with MS

Background People with MS may have unique perspectives on COVID-19 vaccines due to their condition and/or medications. Objective Assess perspectives and experiences with COVID-19 vaccination, and quantify variables impacting COVID-19 vaccine willingness in people with MS. Methods A survey captured demographics, MS characteristics, and COVID-19 infection and exposures data; opinions on COVID-19 vaccine safety, side effects, and efficacy; and experiences following vaccination. Chi-square tests and a logistic regression model were used to denote between-group differences and variables predicting vaccine willingness, respectively. Results Most (87.8%) of the 237 participants were willing to receive the vaccine. Fifteen percent held or delayed a DMT dose for vaccination. MS symptoms worsened in a minority (7.6% first/only dose; 14.7% second dose), and most side effects were mild (80.0%; 55.3%). Those not planning to receive the vaccine were primarily concerned with long-term safety (70.4%). Medical comorbidities (adjusted odds ratio [aOR]=5.222; p=0.04) and following infection prevention precautions (aOR=6.330; p=0.008) were associated with vaccine willingness. Conclusion Most individuals with MS surveyed plan to receive the COVID-19 vaccine. People with MS experience similar side effects to the general population, and few experience transient MS symptom worsening. These results can inform conversations on vaccination between providers and people with MS.
An Experimental Apparatus for Icing Tests of Low Altitude Hovering Drones

The icing facilities of the Anti-Icing Materials International Laboratory AMIL have been adapted to reproduce icing conditions on a Bell APT70 drone rotor, typical of small-to-medium UAV models. As part of an extensive icing test campaign, this paper presents the design and preliminary testing of the experimental setup and representative icing conditions calibration in the laboratory’s cold chamber. The drone rotor used has four blades with a diameter of 0.66 m and a maximum tip speed of 208 m/s. For the icing conditions, freezing rain and freezing drizzle were selected. A Liquid Water Content (LWC) calculation methodology for a rotor in hover was developed, and procedures to determine experimental LWC in the facility are presented in this paper. For the test setup, the cold chamber test section was adapted to fit the rotor and to control its ground clearance. Testing was aimed at studying the effect of rotor height h on aerodynamic performance, both with and without icing conditions. Results show no significant effect on the ground effect between h = 2 m and h = 4 m in dry runs, while the icing behavior can be largely influenced for certain conditions by the proximity of the precipitation source, which depend on the height of the rotor in these experiments.
Improving Large Margin Classifiers using Relationships among Samples

Support vector machine (SVM) is a powerful supervised classification algorithm that has been successful in many real-world problems such as text categorization, face recognition, and applications in bioinformatics and computer-aided diagnosis. Although SVM is popular and accurate, it has some limitations as well. In this thesis, we focus on three major limitations of SVM and introduce various algorithms that utilize the relationships among samples to overcome these issues. Firstly, a limitation of SVM and that of supervised learning algorithms in general is that they only learn from labeled data. However, in many domains, labeled instances are typically costly to obtain. This is particularly true for the medical domains that motivate our research, where labels are assigned via time-consuming manual review by physicians. We introduce a number of methods where we take advantage of the relationships between labeled and unlabeled data (also known as semi-supervised learning) and incorporate the information hidden in the unlabeled data into SVM. Secondly, most classification systems assume that the data used to train and test the classifier are drawn from an independent and identically distributed (i.i.d.) underlying distribution. Nevertheless, this assumption is commonly violated in many real-life problems
High Superior-Middle Pharyngeal Constrictor Muscle Mean Dose Correlates with Severe Late Lung Infection and Survival in Nasopharyngeal Cancer Patients

Purpose The study aimed to evaluate 1) the correlation of doses of swallowing-related organs at risk (OAR) with severe swallowing-related late adverse effects (AE) in nasopharyngeal carcinoma (NPC) patients and 2) the effect of high mean doses of OARs on overall survival (OS). Patients and Methods This retrospective cohort study enrolled non-metastatic Stage I–IV NPC patients from January 2012 to June 2017. OAR mean doses and severe (≥G3) swallowing-related late AE (xerostomia, dysphagia, and lung infection) were evaluated by t-test and validated using receiver operating characteristic curves. The risk factors of OS were calculated by Cox regression methods. Results This study enrolled 185 (43 female, 142 male) NPC patients, mean age 52.4 years, primarily with Stage III (93, 50.3%) or Stage IV (67, 36.2%) disease. The mean doses of pharyngeal constrictor muscle (PCM), superior-middle PCM (SMPCM), and superior PCM (SPCM) were significantly higher in those with severe (≥G3) lung infection than in those without (65.7 vs 62.2 Gy, p = 0.036; 68.1 vs 64.2 Gy, p = 0.015; and 70.0 vs 65.9 Gy, p = 0.012, respectively). Patients with severe (≥G3) dysphagia had significant higher mean doses of base of tongue (56.2 vs 50.2 Gy, p = 0.008), laryngeal box (50.6 vs 46.4 Gy, p = 0.036), PCM (65.4 vs 62.1 Gy, p = 0.008), SMPCM (67.1 vs 64.2 Gy, p = 0.014), and SPCM (69.3 vs 65.8 Gy, p = 0.004). Mean SMPCM dose >64.9 Gy (adjusted hazard ratio [aHR] = 3.2, 95% confidence interval [CI] 1.2–8.8, p = 0.021), age >62 years (aHR = 2.7, 95% CI 1.1–6.9, p = 0.032), N3 status (aHR = 4.0, 95% CI 1.8–9.0, p = 001), and severe late AE of lung infection (aHR = 4.6, 95% CI 1.5–14.0, p = 0.007) significantly affected OS. Conclusion Severe lung infection and dysphagia were associated with significantly higher mean doses of PCM, SMPCM, and SPCM. Among these OARs, only a high SMPCM mean dose was a risk factor for OS in NPC patients.
Tuberculum Sellae Meningiomas: Transcranial Approaches Results and Complications

Objective: Tuberculum sellae meningiomas constitute about 5% 10% of intracranial meningiomas. They are difficult to treat, owing to their close association with the optic nerves, chiasma, and major cerebral arteries. This retrospective study aims to report on the clinical outcome after transcranial approach for treatment of tuberculem sellae meningiomas at our hospital. Patients and Methods: We reviewed patients with tuberculem sellae meningiomas and underwent transcranial surgical approaches for their lesions at Sohag university hospitals over a 4 years period starting from January 2018. The patients’ clinical and radiological data, operative details, degrees of tumor removal, outcomes and complications were reported. Results: There were 17 patients with tuberculem sellae meningiomas with a mean age of 46.3 years. Female patients constituted 70% of cases. Pterional approach was used in 59% of cases and unilateral subfrontal approach was used in 41% of cases. Gross total tumor removal was achieved in 82% of cases. Visual acuity improved in 47%, remained unchanged in 41%, and worsened in 5.9% of patients. Transient post-operative diabetes inspidus and post-operative haematoma in tumor bed each occurred in 5.9% of patients. Conclusion: Transcranial removal of tuberculum sellae meningioma is still considered the standard approach, with high rate of gross total resection and better visual outcome and low mortality and morbidity.
Understanding Sustainability of Construction Products: Answers from Investors, Contractors, and Sellers of Building Materials

Preventing environmental degradation and climate changes are some of the primary challenges of our civilization. Changes to the construction sector, which consumes vast amounts of raw materials, emits significant amounts of greenhouse gas and significant amounts of waste, are very important to reduce emissions and stop negative environmental changes. Regardless of the type of goal, an essential element to achieve it is understanding the purpose and tools necessary to implement appropriate and efficient solutions. This paper presents the survey results on understanding issues related to assessing construction products, including their environmental impact. The survey was conducted among professional groups related to construction, i.e., 181 investors, 522 contractors, and 116 sellers of construction products from various regions of Poland. Questions concerning thermal insulation materials and the external thermal insulation composite system (ETICS), the most widely used solution in the EU for the improvement of thermal performance of buildings, were asked. The obtained results indicate that the knowledge of the basic requirements of construction works under the Construction Products Regulation (CPR) is not too high (the share of correct answers was respectively 33.5%, 23.2%, and 16.2% in contractors, sellers, and investors groups). Similarly, the awareness of the tested, related to the environmental burden in terms of GWP of insulation materials and components of ETICS, should be assessed (49.7% of investors, 57.1% sellers of construction products, and 76.4% contractors indicated the thermal insulation material as the ETICS component with the highest environmental impact in terms of GWP). The obtained research results indicate the need for further education for evaluating construction products and sustainability.
Effect of F11R Gene Knockdown on Malignant Biological Behaviors of Pancreatic Cancer Cells

F11R receptor (F11R/junctional adhesion molecule-A/F11R-A) is preferentially concentrated at tight junctions and influences epithelial cell morphology and migration. Numerous studies have shown that the aberrant expression of F11R contributes to tumor progression including pancreatic cancer. However, the significance of F11R in various tumors is controversial, and the role of F11R in regulating the malignant behaviors of human pancreatic cancer is unknown. To investigate the role of F11R in the carcinogenesis of pancreatic cancer and the potential targets of F11R as a therapeutic target for pancreatic cancer, we knocked down F11R in the pancreatic cancer cell line PANC-1 using lentiviral approaches. We found that F11R silencing led to decreased cell proliferation, a loss of cell invasiveness, cell cycle arrest in the G1 phase, and enhanced cell apoptosis. The present results suggest that F11R may be a promising therapeutic target for pancreatic cancer.
Factors Associated with Overweight and Obesity in Adults from Rio Branco, Acre in the Western Brazilian Amazon

This study aimed to assess factors associated with overweight and obesity in adults from Rio Branco, Acre, in the western Brazilian Amazon. This is a cross-sectional, population-based study conducted in Rio Branco, which used data on individuals aged 18 years or older collected by the 2019 National Health Survey. Software R version 4.0. 5 was used to estimate the prevalence of overweight and obesity, prevalence ratios, and 95% confidence intervals. Multiple analysis was performed by Poisson’s regression with robust variance and hierarchical selection of variables. This study included 1217 adults. The prevalence of overweight was 58.2% (95%CI: 54.7–61.6) and of obesity, 20.1% (95%CI: 17.2–23.4). The factors associated with overweight were arterial hypertension (AdjPR: 1.45; 95%CI: 1.31–1.61), physical inactivity (AdjPR: 1.19; 95%CI: 1.04–1.36), age group (25–39 years, AdjPR: 1.49; 95%CI: 1.10–2.00; 40–59 years, AdjPR: 1.69; 95%CI: 1.28–2.23; 60 years or older, AdjPR: 1.37; 95%CI: 1.01–1.87); and smoking (AdjPR: 0.62; 95%CI: 0.41–0.93). The factors associated with obesity were arterial hypertension (AdjPR: 1.80; 95%CI: 1.41–2.30) and diabetes mellitus (AdjPR: 1.52; 95%CI: 1.08–2.13). Smoking and female sex remained in the hierarchical model for obesity, even without statistical significance. Despite intervention guidelines for these chronic diseases, there is a need for the public recognition of overweight and obesity and their possible associated factors in the Amazon and other regions with similar socioeconomic and demographic characteristics.
Alpinumisoflavone Disrupts Endoplasmic Reticulum and Mitochondria Leading to Apoptosis in Human Ovarian Cancer

Alpinumisoflavone is a prenylated isoflavonoid derived from the Cudrania tricuspidate fruit and Genista pichisermolliana. Alpinumisoflavone has anticancer properties in a variety of cancer cells, including colorectal, esophageal, renal and hepatocellular carcinoma. However, its mechanisms and effects in ovarian cancer remain unexplored. Our findings indicate that alpinumisoflavone triggers anti-proliferation in 2D- and 3D-cultured human ovarian cancer (ES2 and OV90) cells, including a reduction in the proliferating cell nuclear antigen expression and sub-G1 phase arrest of the cell cycle. Both alpinumisoflavone-treated ES2 and OV90 cells exhibited an augmentation in late apoptotic cells and the depolarization of mitochondrial membrane potential (MMP). We also observed a decrease in respiratory chain activity in ovarian cancer cells, owing to lower energy output by the alpinumisoflavone. In addition, combining cisplatin (a chemotherapeutic drug used in several malignancies) with alpinumisoflavone boosted apoptosis in ES2 and OV90 cells via a reduction in cell proliferation, induction of late apoptotic cells, and depolarization of MMP. Furthermore, alpinumisoflavone also regulated the PI3K/AKT, MAPK and endoplasmic reticulum (ER) stress regulatory signaling pathways, leading to cell death in both ES2 and OV90 cells. In general, our findings verified that alpinumisoflavone inhibited ovarian cancer cell growth via mitochondrial malfunction.
Resting-State fMRI in Chronic Patients with Disorders of Consciousness: The Role of Lower-Order Networks for Clinical Assessment

Resting-state fMRI (rs-fMRI) is a widely used technique to investigate the residual brain functions of patients with Disorders of Consciousness (DoC). Nonetheless, it is unclear how the networks that are more associated with primary functions, such as the sensory–motor, medial/lateral visual and auditory networks, contribute to clinical assessment. In this study, we examined the rs-fMRI lower-order networks alongside their structural MRI data to clarify the corresponding association with clinical assessment. We studied 109 chronic patients with DoC and emerged from DoC with structural MRI and rs-fMRI: 65 in vegetative state/unresponsive wakefulness state (VS/UWS), 34 in minimally conscious state (MCS) and 10 with severe disability. rs-fMRI data were analyzed with independent component analyses and seed-based analyses, in relation to structural MRI and clinical data. The results showed that VS/UWS had fewer networks than MCS patients and the rs-fMRI activity in each network was decreased. Visual networks were correlated to the clinical status, and in cases where no clinical response occurred, rs-fMRI indicated distinctive networks conveying information in a similar way to other techniques. The information provided by single networks was limited, whereas the four networks together yielded better classification results, particularly when the model included rs-fMRI and structural MRI data (AUC = 0.80). Both quantitative and qualitative rs-fMRI analyses yielded converging results; vascular etiology might confound the results, and disease duration generally reduced the number of networks observed. The lower-order rs-fMRI networks could be used clinically to support and corroborate visual function assessments in DoC.
An Automatic Procedure for Forest Fire Fuel Mapping Using Hyperspectral (PRISMA) Imagery: A Semi-Supervised Classification Approach

Natural vegetation provides various benefits to human society, but also acts as fuel for wildfires. Therefore, mapping fuel types is necessary to prevent wildfires, and hyperspectral imagery has applications in multiple fields, including the mapping of wildfire fuel types. This paper presents an automatic semisupervised machine learning approach for discriminating between wildfire fuel types and a procedure for fuel mapping using hyperspectral imagery (HSI) from PRISMA, a recently launched satellite of the Italian Space Agency. The approach includes sample generation and pseudolabelling using a single spectral signature as input data for each class, unmixing mixed pixels by a fully constrained linear mixing model, and differentiating sparse and mountainous vegetation from typical vegetation using biomass and DEM maps, respectively. Then the procedure of conversion from a classified map to a fuel map according to the JRC Anderson Codes is presented. PRISMA images of the southern part of Sardinia, an island off Italy, were considered to implement this procedure. As a result, the classified map obtained an overall accuracy of 87% upon validation. Furthermore, the stability of the proposed approach was tested by repeating the procedure on another HSI acquired for part of Bulgaria and we obtained an overall stability of around 84%. In terms of repeatability and reproducibility analysis, a degree of confidence greater than 95% was obtained. This study suggests that PRISMA imagery has good potential for wildfire fuel mapping, and the proposed semisupervised learning approach can generate samples for training the machine learning model when there is no single go-to dataset available, whereas this procedure can be implemented to develop a wildfire fuel map for any part of Europe using LUCAS land cover points as input.
Functionally graded cellular cores of sandwich panels fabricated by additive manufacturing

Functionally graded cellular materials, which combine cellular materials with a gradient of properties, have been recently investigated as cores of sandwich panels. The present work aims to evaluate the flexural properties of functionally graded cellular structures with a gradient of cell thickness on configurations recently proposed. The structures hexagonal honeycomb (Hr), lotus (Lt), and hexagonal honeycomb with Plateau borders (Pt) were designed with three different gradients of cell thickness. The parts were manufactured by material extrusion using FFF (Fused Filament Fabrication). To evaluate the mechanical properties, three-point bending tests were conducted, both experimentally and by numerical modelling, by means of the finite element method. The materials used were polylactic acid (PLA) and aluminum. Although experimental and numerical results exhibited some deviations, they revealed the same trends. The results showed that the stiffness and the absorbed energy of the graded Hr, Lt and Pt structures, made of PLA, are higher than such values for the regular hexagonal honeycombs. For the same gradient of cell thickness, the lotus structure tends to exhibit the highest stiffness and absorbed energy, while the hexagonal honeycomb arrangement achieves the largest value of strength. Graded aluminum specimens also attain higher values of stiffness, strength and absorbed energy in comparison with non-graded hexagonal honeycomb configurations. Thus, the use of gradients of cell thickness can promote structures with higher stiffness and absorbed energy, which may compete with the conventional structures of sandwich panel cores.
Epileptic seizures and link to memory processes

Epileptogenesis is a complex and not well understood phenomenon. Here, we explore the hypothesis that epileptogenesis could be “hijacking” normal memory processes, and how this hypothesis may provide new directions for epilepsy treatment. First, we review similarities between the hypersynchronous circuits observed in epilepsy and memory consolidation processes involved in strengthening neuronal connections. Next, we describe the kindling model of seizures and its relation to long-term potentiation model of synaptic plasticity. We also examine how the strengthening of epileptic circuits is facilitated during the physiological slow wave sleep, similarly as episodic memories. Furthermore, we present studies showing that specific memories can directly trigger reflex seizures. The neuronal hypersynchrony in early stages of Alzheimer's disease, and the use of anti-epileptic drugs to improve the cognitive symptoms in this disease also suggests a connection between memory systems and epilepsy. Given the commonalities between memory processes and epilepsy, we propose that therapies for memory disorders might provide new avenues for treatment of epileptic patients.