Miracle-dz/UniFAR-FTUs huggingface dataset:
Machine learning based algorithms for wind pressure prediction of high-rise buildings

In recent years, machine learning (ML) techniques have been used in various fields of engineering practice. In order to evaluate the feasibility of machine learning algorithms for prediction of wind-induced effects on high-rise buildings, four ML algorithms including ridge regression, decision tree, random forest and gradient boosting regression tree are adopted in this study to predict wind pressures on Commonwealth Advisory Aeronautical Research Council standard tall building. The gradient boosting regression tree model is proved to be well performed in predicting both mean wind pressures and fluctuating wind pressures. Compared to expensive wind tunnel tests and time-consuming computational fluid dynamic simulations, it is expected that the gradient boosting regression tree model is an efficient and economical alternative for predicting wind pressures on high-rise buildings.
Risk factors and outcomes associated with ventilator associated pneumonia amongst intubated trauma patients admitted to the general intensive care unit of a major trauma centre

Background Despite the use of care bundles, ventilator associated pneumonia (VAP) remains a frequently occurring health care-associated infection, increasing costs, length of stay (LOS) and mortality. The incidence is higher amongst trauma patients, although due to variable definitions and study populations risk factors for developing VAP are disputed, with few reports from the UK. Methods This 6-year review of intubated trauma patients admitted to the general Intensive Care Unit (ICU) of a UK major trauma centre, collected data on suspected risk factors for VAP, as well as demographic information, outcomes and microbiology. Ninety-nine patients who developed VAP within the first 7 days of admission were compared with 191 patient who did not, with multivariable logistic regression used to control for confounding variables. Results Univariable analysis suggested that injury severity score (ISS) (34 v 29), head injury (66.7% v 50.8%), polytrauma (79.8% v 68.1%) and ventilator days (10 v 5) were associated with increased risk of VAP, but after adjustment only ventilator days remained significant (OR 1.04, 95% CI 1.01–1.06). Antibiotics within 24 h of admission were associated with reduced odds of developing VAP, whether this was for pulmonary prophylaxis (OR 0.43, 95% CI 0.22–0.83, p = 0.013) or non-pulmonary reasons (OR 0.27, 95% CI 0.15–0.51, p < 0.001). Conclusions Only increasing ventilator days was associated with increased odds of developing VAP. The use of early antimicrobials was associated strongly with a reduction in the odds of developing VAP; this could be explained by unmeasured confounding or a prophylactic effect against aspiration.
Detection of Mechanical Failures in Industrial Machines Using Overlapping Acoustic Anomalies: A Systematic Literature Review

One of the most important strategies for preventative factory maintenance is anomaly detection without the need for dedicated sensors for each industrial unit. The implementation of sound-data-based anomaly detection is an unduly complicated process since factory-collected sound data are frequently corrupted and affected by ordinary production noises. The use of acoustic methods to detect the irregularities in systems has a long history. Unfortunately, limited reference to the implementation of the acoustic approach could be found in the failure detection of industrial machines. This paper presents a systematic review of acoustic approaches in mechanical failure detection in terms of recent implementations and structural extensions. The 52 articles are selected from IEEEXplore, Science Direct and Springer Link databases following the PRISMA methodology for performing systematic literature reviews. The study identifies the research gaps while considering the potential in responding to the challenges of the mechanical failure detection of industrial machines. The results of this study reveal that the use of acoustic emission is still dominant in the research community. In addition, based on the 52 selected articles, research that discusses failure detection in noisy conditions is still very limited and shows that it will still be a challenge in the future.
Comprehensive Nonclinical Safety Assessment of Nirmatrelvir Supporting Timely Development of the SARS-COV-2 Antiviral Therapeutic, Paxlovid™

COVID-19 is a potentially fatal infection caused by the SARS-CoV-2 virus. The SARS-CoV-2 3CL protease (Mpro) is a viral enzyme essential for replication and is the target for nirmatrelvir. Paxlovid (nirmatrelvir co-administered with the pharmacokinetic enhancer ritonavir) showed efficacy in COVID-19 patients at high risk of progressing to hospitalization and/or death. Nonclinical safety studies with nirmatrelvir are essential in informing benefit-risk of Paxlovid and were conducted to support clinical development. In vivo safety pharmacology assessments included a nervous system/pulmonary study in rats and a cardiovascular study in telemetered monkeys. Potential toxicities were assessed in repeat dose studies of up to 1 month in rats and monkeys. Nirmatrelvir administration (1,000 mg/kg, p.o.) to male rats produced transient increases in locomotor activity and respiratory rate but did not affect behavioral endpoints in the functional observational battery. Cardiovascular effects in monkeys were limited to transient increases in blood pressure and decreases in heart rate, observed only at the highest dose tested (75 mg/kg per dose b.i.d; p.o.). Nirmatrelvir did not prolong QTc-interval or induce arrhythmias. There were no adverse findings in repeat dose toxicity studies up to 1 month in rats (up to 1,000 mg/kg daily, p.o.) or monkeys (up to 600 mg/kg daily, p.o.). Nonadverse, reversible clinical pathology findings without clinical or microscopic correlates included prolonged coagulation times at ≥60 mg/kg in rats and increases in transaminases at 600 mg/kg in monkeys. The safety pharmacology and nonclinical toxicity profiles of nirmatrelvir support clinical development and use of Paxlovid for treatment of COVID-19.
The potential of Lactobacillus buchneri isolated from spontaneous rabbit meat fermented - bekasam against Salmonella typhimurium by in vivo evaluation

Abstract. Wulandari E, Yurmiati H, Subroto T, Wismandanu O, Khairani S. 2022. The potential of Lactobacillus buchneri isolated from spontaneous rabbit meat fermented - bekasam against Salmonella typhimurium by in vivo evaluation. Biodiversitas 23: 2304-2310. Rabbit meat bekasam is a traditional fermented food and is considered a healthy and functional food due to its nutrient content and microorganism. Lactic acid bacteria (LAB) was dominant microorganism and Lactobacillus buchneri E3 is one of LAB isolated during fermentation of the bekasam. Lactobacillus buchneri E3 has antimicrobial activity against pathogen bacteria. The present study aimed to investigate in vivo assessment of antimicrobial activity against Salmonella typhimurium using BALB/c mice. Oral administrations of three doses of L. buchneri E3(108, 109, and 1010 CFU/day/mouse) were performed for seven consecutive days. On the 8th day, each animal was inoculated with a single S. typhimurium, and on the 13th day, the mice were sacrificed for observation. The result showed that oral administration of L. buchneri E3 significantly increased the total population of LAB, significantly decreased S. typhimurium populations in the intestines, liver, and spleen, while increasing beneficial bacterial population and maintaining the normal hematology in the mice. The probiotic also maintained the histological examination of spleen and liver. These suggest that L. buchneri E3 is safe and could be used as the starter for fermentation products.
Polymer Optical Fiber Plantar Pressure Sensors: Design and Validation

The proper measurement of plantar pressure during gait is critical for the clinical diagnosis of foot problems. Force platforms and wearable devices have been developed to study gait patterns during walking or running. However, these devices are often expensive, cumbersome, or have boundary constraints that limit the participant’s motions. Recent advancements in the quality of plastic optical fiber (POF) have made it possible to manufacture a low-cost bend sensor with a novel design for use in plantar pressure monitoring. An intensity-based POF bend sensor is not only lightweight, non-invasive, and easy to construct, but it also produces a signal that requires almost no processing. In this work, we have designed, fabricated, and characterized a novel intensity POF sensor to detect the force applied by the human foot and measure the gait pattern. The sensors were put through a series of dynamic and static tests to determine their measurement range, sensitivity, and linearity, and their response was compared to that of two different commercial force sensors, including piezo resistive sensors and a clinical force platform. The results suggest that this novel POF bend sensor can be used in a wide range of applications, given its low cost and non-invasive nature. Feedback walking monitoring for ulcer prevention or sports performance could be just one of those applications.
Assessment Of Anti-Inflammatory Cytokine Interleukin-10 In Mild Cognitive Impairment In Elderly

Background : Mild cognitive impairment (MCI) is decline and disturbance of cognitive, little impairment of complex skills, ability to conduct ordinary daily functions, and the absence of dementia are all features of MCI. Interleukin-10 (IL-10) has anti-inflammatory effects and may suppress neurodegenerative disorders. Objective: This study aimed to investigate the possible association between serum interleukin 10 (IL-10) levels and mild cognitive impairment (MCI) in the elderly population. Material and methods : The study was carried out on 90 subjects aged 65 years or older] divided into Group I (MCI patients): including 45 patients. in Group II (Control): which included 45 subjects with normal cognition. All subjects underwent detailed history taking, clinical examination, and assessment of cognitive function. Laboratory investigations included: Serum interleukin-10(IL-10), C-reactive protein (CRP), ESR, CBC, fasting blood glucose (FBS), postprandial blood glucose (PPS), urea, creatinine, and liver enzyme levels. Results: IL-10 levels in the MCI group ranged from 4.60 – 16.31 with a mean value (S.D) of 9.75 ±2.26. IL-10 among the control group ranged from 4.91 – to 12.15 with a mean value (S. D) of 8.87 ±1.80. IL-10 was significantly higher among the MCI group (p=0.044) Conclusion: There was a statistically significant difference between the serum levels of IL-10 in patients with MCI and controls.
Corporate Social Responsibility Disclosure and Firm’s Productivity: Evidence from the Banking Industry in Bangladesh

Since the empirical evidence on the relationship between corporate social responsibility disclosure (CSRD) and firm productivity is scarce in the context of the banking industry, the study examines whether CSRD leads banks in Bangladesh to higher productivity. Using annual report data of all 30 banks listed on the Dhaka Stock Exchange in Bangladesh from 2011 to 2018, the study applied a data envelopment analysis (DEA) to determine the productivity of the sample banks, and then ordinary least squares (OLS) analysis to examine the impact of CSR on the banks’ productivity. Furthermore, the study utilized two-stage least squares (2SLS) and a generalized method of moments (GMM) to check the robustness of the findings amid the detection of endogeneity issues. The study also used several alternative variables to check and verify the reliability of the study. The findings indicate that the greater a bank’s contribution to CSR, the higher its productivity. However, banks with more debt to assets are less productive. Additionally, the study observed that the impact of CSRD on bank productivity is higher in GRI banks compared to non-GRI banks, non-politically connected banks as opposed to politically connected banks, and conventional banks compared to Islamic banks. The study provides valuable insight into how CSR activities can promote bank productivity, thus motivating the banks to execute a well-thought-out action plan to ensure more CSR contribution. This study is the first ever bank-level evidence that provides insight into how the patterns of CSR activity of publicly traded banks impact their productivity.
CHEMICAL AND TECHNOLOGICAL STUDIES ON ROCKET (Eruca sativa) Seed Oil: 1- CHARACTERIZATION OF ROCKET (Eruca sativa) SEED OIL

The present investigation was designed to study the physical and chemical properties of rocket seed oil. The obtained results indicated that rocket seed had high contents of protein (35.02%), oil (25.77%) and available carbohydrates (22.66%). Rocket seed oil had lower specific gravity, refractive index and saponification value than those of corn, sunflower and cottonseed oils. The iodine value of rocket seed oil was higher than those of corn, sunflower and cottonseed oils. The results cleared that, eleven saturated and unsaturated fatty acids were identified in rocket seed lipids, while ten only were identified in rocket seed triglycerides. Unsaturated fatty acids play an important role in rocket seed lipids (72.24%) and triglycerides (72.22%). Erucic acid was the major unsaturated fatty acid reached 46.58% and 40.11% in rocket seed lipids and triglycerides; respectively. Moderate quantities of oleic (13.19 and 22.71%) and linoleic acids (11.21 and 7.74%) were presented in rocket seed lipids and triglycerides; respectively. Arachidic acid is found to be the dominant saturated fatty acids in rocket seed lipids (21.56%) and triglycerides (15.92%). Palmitic acid was the second main saturated fatty acids in rocket seed lipids (4.83%) and triglycerides (8.59%). The individual rocket seed phospholipids fractions starting from the base line were phosphatidyl serine, lysophosphatidyl choline, phosphatidyl inositol, sphingolipids, phosphatidyl choline, phosphatidyl ethanol amine, phosphatidic acid and glycolipids.
Assessment of Morphological Traits and Yield Potentiality of some Egyptian Lentil (Lens culinaris Medik) Cultivars under normal and Water Deficit Conditions

Two field trials were conducted during 2018/2019 and 2019/2020 seasons at the University. To evaluate the performance of five Egyptian lentil cultivars (Giza-9, Giza-29, Giza-51, Giza-370 and Sinai-1) under two levels of water treatments; normal and drought (60% and 30% FC). Each trial was conducted as a randomized complete block design (RCBD) in a split-plot arrangement with three replications. Main plots were assigned to the two water treatments, sub-plots were assigned to the five cultivars. Combined analysis of variance exhibited highly significant differences ( p≤0.01 ) for both water treatments and cultivars for all traits. Giza-51 possessed highest seed yield/plant under normal conditions. Sinai1 showed a slight decrease in seed yield/plant and seed proline exceed under drought conditions. Six drought tolerance indices {percentage of reduction (ROS %), stress tolerance (TOL), geometric mean productivity (GMP), stress tolerance index (STI), harmonic mean (HARM) and stress susceptibility index (SSI)} were used to detect drought tolerance of these cultivars. Seed yield in stress conditions negatively correlated with ROS%, TOL and SSI. Therefore, those indices are relevant factors to identify cultivars with low yield and tolerance to drought. Number of stomata showed significant differences in all cultivars. Also, stomatal width was more affected than length due to stomatal closure as a way to reduce water loss under drought. Overall, Giza-51 and Sinai-1 were more drought tolerance than other cultivars. Thus, drought indices, proline content and no. stomata should be given emphasis for future lentil yield improvement programs under drought conditions.
The Camfield Estates - MIT Creating Community Connections Project: High Technology in a Low-to-Moderate Income Community

This chapter is a case study of a community-university partnership that is investigating strategies to bridge the “digital divide” by examining the role of community technology for the purpose of community building in a lowto moderate-income housing development. Since January 2000, the Camfield Estates-MIT Creating Community Connections Project, a partnership between the Camfield Tenants Association and Massachusetts Institute of Technology, has taken place at Camfield Estates, a 102-unit, lowto moderateincome housing development in Roxbury, Massachusetts, and its surrounding environs. This chapter includes the history and background of the project, the theoretical frameworks guiding the initiative, the project methodology that has been employed to integrate community technology and community building, early results, and a set of recommendations and lessons learned for other initiatives.
Obstacles to Post-mortem Cornea Donation: A Study From a Tribal Region in Eastern India

Purpose: Studying the cognizance and hindrances of eye benefactors amongst relatives of post-mortem cases in an Indian tertiary referral centre. Methods: This prospective study was executed at a tertiary hospital. In this examination, the relatives had been approached and counselled systematically. The responses had been noted in a predesigned proforma. Data regarding demographic details, socioeconomic status, prior knowledge of eye benefactor, willingness and reasons for refusing eye benefactor, literacy level, relationship with the deceased patient, and so on were collected. Results: One hundred fifty-six potential donors had been identified from 845 post-mortem cases. Among these potential donors were 63 women and 93 men. Thirty-eight next of kin had been seen as already cognizant regarding eye benefactor; however, other 118 families were unaware. A total of 109 families refused to donate eyes while other 47 showed willingness for the procedure. It was seen that there was no influence on literacy status, socioeconomic status and prior knowledge regarding the concept of willingness to donate. Conclusion: Counselling for eye benefactor exercises a crucial role in procuring corneas. Socioeconomic status, literacy and prior understanding of eye donation had no link with donor corneal tissue procurement in our study. Even in families with no prior knowledge and poor socioeconomic status, active counselling can be successful.
Conception and Implementation of Single and Simultaneous Two Diodes Open Faults Automatic Detection and Localization Algorithm in Six Diodes Three Phase Rectifier Bridge

The faulty performance of six diodes three phase rectifier is studied under one and two simultaneous open-diodes conditions. This rectifier is feeding a resistive load. The rectifier three phases currents zero harmonic components and their maximum and minimum values are used as diagnostic indices. A knowledge algorithm is based to get information on which IGBT is in openswitch fault condition. This algorithm testing shows that the system could not only detect the openswitch fault, but also identify the faulty switches. Presented simulation results confirm the effectiveness of the proposed methodology.
Freeze-Drying Processes Applied to Melon Peel: Assessment of Physicochemical Attributes and Intrinsic Microflora Survival during Storage

Melon peel is recognized as a source of healthy nutrients and oxidant compounds. Being considered a non-edible part with no profit value, large amounts of melon rinds are discharged by fruit industries. Innovative food ingredients with potential health benefits may arise if these parts were conveniently transformed. The objective was to freeze-dry small melon peel cubes to attain a potential edible matrix. An ozone pre-treatment was applied seeking decontamination purposes and quality retention. The effect of these processes was assessed in terms of physicochemical parameters (moisture content, water activity and color), bioactive compounds (total phenolics, vitamin C and chlorophylls) and antioxidant capacity, during 7 weeks of storage at room temperature. Intrinsic microflora (mesophylls, yeasts and molds) were also monitored. Results showed that the freeze-drying process allowed retention of the most bioactive compounds analyzed, except for total phenolic content. In this case, the ozone pre-treatment was important for phenolics preservation. During the storage period, ozonated samples presented a higher content of bioactive compounds. In terms of microflora, the ozone and freeze-drying effects were not significant. Freeze-drying proved to be a suitable preservation method for melon peel. The ozone impact was not relevant in terms of decontamination.
First Principle Calculation of Accurate Electronic and Related Properties of Zinc Blende Indium Arsenide (zb-InAs)

We carried out a density functional theory (DFT) study of the electronic and related properties of zinc blende indium arsenide (zb-InAs). These related properties include the total and partial densities of states and electron and hole effective masses. We utilized the local density approximation (LDA) potential of Ceperley and Alder. Instead of the conventional practice of performing self-consistent calculations with a single basis set, albeit judiciously selected, we do several self-consistent calculations with successively augmented basis sets to search for and reach the ground state of the material. As such, our calculations strictly adhere to the conditions of validity of DFT and the results are fully supported by the theory, which explains the agreement between our findings and corresponding, experimental results. Indeed, unlike some 21 previous ab initio DFT calculations that reported zb-InAs band gaps that are negative or zero, we found the room temperature measured value of 0.360 eV. It is a clear achievement to reproduce not only the locations of the peaks in the valence band density of states, but also the measured values of the electron and hole effective masses. This agreement with experimental results underscores not only the correct description of the band gap, but also of the overall structure of the bands, including their curvatures in the vicinities of the conduction band minimum (CBM) and of the valence band maximum (VBM).
Dinámica de innovaciones en la producción de jitomate (Solanum lycopersicum) bajo invernadero en Puebla, México

El uso de innovaciones tecnológicas en el cultivo de hortalizas bajo invernadero se traduce en altos rendimientos para los productores. Esta investigación, analiza el índice de adopción de innovaciones (InAI) en las unidades de producción de jitomate (UPJ) bajo invernadero en los municipios de Aquixtla, Tetela de Ocampo, Tecamachalco y Tochtepec, estado de Puebla y su relación con el rendimiento del cultivo, además de conocer los actores implícitos en la difusión de innovaciones mediante un análisis de redes sociales. Se aplicaron 103 entrevistas a productores en el segundo semestre de 2017, utilizando un cuestionario estructurado. Se obtuvo un InAI global de 36%, destacando los componentes sanidad y nutrición que registraron un InAI de 57%. El análisis de redes sociales mostró que el aprendizaje de innovaciones se realiza principalmente entre productores a pesar de no contar con una organización formal. La asesoría técnica privada es la responsable de la transferencia de tecnologías en las UPJ. El InAI tiene una correlación positiva (p<0.05) con el rendimiento de las UPJ, por lo que es de importancia para los tomadores de decisiones y en particular para los productores, el generar canales formales de comunicación que permitan intercambiar experiencias fomentando el aprendizaje en conjunto, con la finalidad de aumentar el InAI y en consecuencia mejorar el rendimiento de las UPJ en el estado.