Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimized Ventilation Control for IAQ in Partial Renovation and Non-Renovated Commercial Buildings during the Summer Period in Chongqing, South West China

Abstract This paper reports on research to analyze the indoor air quality (IAQ) and the concentration and varying patterns of CO2, formaldehyde and TVOC in commercial buildings located in Chongqing, South-West China. Two buildings were monitored during the day over two weeks in the summer period. One was a completed building that had been fully operational for several years. This building is termed the ‘non-renovated’ building. The other was a commercial building of similar age that was currently undergoing renovation on one of the main retail floors. This building is termed the ‘partial renovation’ building. The results of the study show that indoor TVOC pollution is a prominent issue in commercial buildings with typical pollution rates exceeding recommended standard levels by 58.9% (partial renovation) and 19.6% (non-renovated), respectively. There were significant correlations between indoor environmental parameters, especially the three indoor air pollutants (p<0.05, Spearman). The three main factors influencing the concentration of the indoor air pollutants were: the time of the day; the floor layout; and the different retail functional areas in particular the supermarket, catering services, leather goods and cosmetics. The findings present proposals for optimized ventilation control strategies and contribute to the application of ventilation in similar commercial and business environments.
The Effect of Development of Social Good Products on Market Value: Evidence From Vaccine Manufacturing Enterprises

As a typical social good product, COVID-19 vaccine demonstrates the vaccine manufacturing enterprises’ social responsibility. This article thus aims to empirically test whether the event of the COVID-19 outbreak provides an opportunity for vaccine manufacturing enterprises to achieve social good, contributing to the social good stream of the new product development (NPD) literature. We then conduct an event study for 45 Chinese listed vaccine manufacturing enterprises by considering two panels, abnormal returns (ARs) and cumulative ARs, and cross-sectional regression modeling to determine how the NPD environment-related factors affect the magnitude of market value. Compared with their average returns over past estimation periods, vaccine manufacturing enterprises experienced short-term positive ARs. This article fills the gap in the social good stream of the NPD literature by providing an empirical investigation of the positive impact of the COVID-19 outbreak on the market value, and providing evidence that the magnitude of market value change varies across NPD environments when a major public health event occurs. This article also provides insights for manufacturing enterprises and their stakeholders as to how they can leverage opportunities provided by public health events and their NPD resources to improve their social good and market value performance.
Rational Development and Characterization of a Ubiquitin Variant with Selectivity for Ubiquitin C-Terminal Hydrolase L3

There is currently a lack of reliable methods and strategies to probe the deubiquitinating enzyme UCHL3. Current small molecules reported for this purpose display reduced potency and selectivity in cellular assays. To bridge this gap and provide an alternative approach to probe UCHL3, our group has carried out the rational design of ubiquitin-variant activity-based probes with selectivity for UCHL3 over the closely related UCHL1 and other DUBs. The approach successfully produced a triple-mutant ubiquitin variant activity-based probe, UbVQ40V/T66K/V70F-PRG, that was ultimately 20,000-fold more selective for UCHL3 over UCHL1 when assessed by rate of inactivation assays. This same variant was shown to selectively form covalent adducts with UCHL3 in MDA-MB-231 breast cancer cells and no reactivity toward other DUBs expressed. Overall, this study demonstrates the feasibility of the approach and also provides insight into how this approach may be applied to other DUB targets.
Specialized protrusions coordinate migratory border cell cluster cohesion via Scribble, Cdep, and Rac

Apicobasal polarity is a defining characteristic of epithelial cells and its disruption is a cancer hallmark. Distinct apical and basolateral protein modules antagonize each other to establish separate membrane domains. These modules interact with dozens of potential effector proteins. Here we describe polarity protein localization and function within a migrating epithelial cell cluster and identify a functionally significant effector protein. In Drosophila egg chambers, border cells delaminate from the follicular epithelium and migrate collectively. We report that the basolateral protein Scribble is required for border cell cluster cohesion and migration. The basolateral module localizes the Rac guanine nucleotide exchange factor Cdep to membranes, and Cdep knockdown phenocopies Scribble cluster cohesion defects. Remarkably, membrane targeting of Cdep is sufficient to partially suppress multiple Scribble phenotypes. We describe specialized basolateral protrusions that promote cluster cohesion. Scribble restricts these protrusions from encroaching onto the apical domain. Thus, a major function of the basolateral module is to localize Cdep, promoting specialized protrusions, cluster cohesion, and collective migration.
Efek Penambahan Ruminer dalam Ransum Sapi Perah terhadap Produksi 4% FCM dan Nutrien Susu

ABSTRACT. Sapi perah yang berproduksi tinggi membutuhkan ransum berenergi tinggi dan asam lemak esensial. Penambahan lemak dalam ransum dapat mengatasi kekurangan energi dan asam lemak esensial. Permasalahan umum dari pemberian lemak atau minyak pada dosis tertentu dapat mengganggu ekosistem rumen, sehingga dalam pemberiannya perlu diproteksi. Ruminer adalah suplemen komersial berupa minyak sawit yang diproteksi mineral kalsium. Penelitian ditujukan untuk mengetahui penambahan ruminer dalam ransum lengkap terhadap produksi susu 4% FCM dan produksi nutrien susu sapi perah. Penelitian dilakukan secara eksperimental terhadap 10 ekor sapi perah Friesian Holstein pada masa laktasi sama. Sapi tersebut dibagi dua, masing-masing lima ekor. Perlakuan berupa ransum tanpa ditambah ruminer (P0) dan ransum ditambah 250 gram ruminer.ekor-1.hari-1 (P1). Peubah yang diamati adalah produksi susu 4% FCM diukur setiap hari selama 60 hari dan kualitas susu diukur setiap 10 hari. Hasil penelitian menunjukkan bahwa produksi susu 4% FCM, produksi total padatan, lemak, protein dan laktosa susu pada sapi diberi ruminer lebih tinggi (P0,05) daripada sapi yang tidak diberi ruminer. Disimpulkan bahwa pemberian ruminer meningkatkan produksi susu 4% FCM, total padatan, lemak, protein dan laktosa susu. Pemberian ruminer sebanyak 250 gram.ekor-1hari-1 mampu meningkatkan 2 kg produksi susu 4% FCM pada sapi perah laktasi. (Effects of ruminer addition in dairy cattle rations on milk 4% FCM and nutrient production) ABSTRAK. High-yielding dairy cows require high-energy rations and essential fatty acids. The addition of fat in the ration can overcome the lack of energy and essential fatty acids. The general problem of giving fat or oil at certain doses can disrupt the rumen ecosystem, so that it needs to be protected. Ruminer is a commercial supplement in the form of calcium mineral protected palm oil. This research was aimed to determine the addition of ruminants in complete rations on the production of 4% FCM milk and the nutrient production of dairy cow milk. The research was carried out experimentally on 10 dairy cows during the same lactation period. The cow is divided into two, five each. The treatments were rations without adding ruminer (P0) and rations added by 250 grams of ruminer. head-1 day-1 (P1). The variables observed were 4% FCM milk production measured every day for 60 days and milk quality was measured every 10 days. The results showed that the production of 4% FCM milk, the total production of solids, fat, protein and milk lactose in cows fed with ruminer was higher (P 0.05) than cows that were not given ruminer. It was concluded that the provision of ruminer increased milk production by 4% FCM, total solids, fat, protein and milk lactose. Giving a ruminer of 250 grams of head-1.day-1 was able to increase 2 kg of 4% FCM milk production in lactating dairy cows.
Lack of vegetation exacerbates exposure to dangerous heat in dense settlements in a tropical African city

Both climate change and rapid urbanization accelerate exposure to heat in the city of Kampala, Uganda. From a network of low-cost temperature and humidity sensors, operational in 2018–2019, we derive the daily mean, minimum and maximum Humidex in order to quantify and explain intra-urban heat stress variation. This temperature-humidity index is shown to be heterogeneously distributed over the city, with a daily mean intra-urban Humidex Index deviation of 1.2 ∘C on average. The largest difference between the coolest and the warmest station occurs between 16:00 and 17:00 local time. Averaged over the whole observation period, this daily maximum difference is 6.4 ∘C between the warmest and coolest stations, and reaches 14.5 ∘C on the most extreme day. This heat stress heterogeneity also translates to the occurrence of extreme heat, shown in other parts of the world to put local populations at risk of great discomfort or health danger. One station in a dense settlement reports a daily maximum Humidex Index of > 40 ∘C in 68% of the observation days, a level which was never reached at the nearby campus of the Makerere University, and only a few times at the city outskirts. Large intra-urban heat stress differences are explained by satellite earth observation products. Normalized Difference Vegetation Index has the highest (75%) power to predict the intra-urban variations in daily mean heat stress, but strong collinearity is found with other variables like impervious surface fraction and population density. Our results have implications for urban planning on the one hand, highlighting the importance of urban greening, and risk management on the other hand, recommending the use of a temperature-humidity index and accounting for large intra-urban heat stress variations and heat-prone districts in urban heat action plans for tropical humid cities.
Circuit designs for the MAP chip

This thesis describes some of the many circuit-level designs included in the M-Machine Multi-ALU Processor (MAP Chip). Standard cells have been created or modified to reduce the area and propagation delay of synthesized logic. The global clock distribution system has been designed at the circuit level and preliminary simulations performed. The Local Translation Lookaside Buffer (LTLB), consisting of SRAM arrays and standard cell logic, has been implemented using components similar to those in other MAP Chip memory arrays. Thesis Supervisor: William J. Dally Title: Professor
Market Segmentation of Online Reviews: A Network Analysis Approach

With the popularity of online reviews, brand managers have opportunities to segment their markets according to the reviews of their products or services by customers. Nonetheless, it has been suggested that traditional market segmentation methods are ineffective at analyzing online review data due to the complex features and large amount of this type of data; specifically, traditional methods fail to take into account the networked nature of interactive relationships among reviewers and brands across online review websites. Accordingly, this study proposes a network analysis approach for the market segmentation of online reviews. Collecting samples from Yelp via web scraping, this study demonstrates how network analysis techniques can be utilized to segment online reviewers through a four-step process. The results reveal the core and peripheral market segments, as well as the bridge segment in the core. The study contributes to offering marketing researchers and managers a new network structure analysis approach for the market segmentation of online reviews.
Multi-trench Fiber for high power laser applications

Optical fibers have realized their immense potential for high power applications in the last decade. However, non-linearity still remains a challenge for power scaling for fiber lasers [1]. A large effective area of the fundamental mode of the optical fiber can increase the threshold of the non-linear effects [2]. However, simply increasing the core size leads to multi-mode operation and hence deteriorates the beam quality. Several novel optical fiber designs have been proposed to offer a large effective area of optical fibers such as Low NA Step index fibers, Photonic Crystal Fibers, Bragg Fibers, etc., while still maintaining single mode operation. Recently, we proposed a novel multi-trench fiber (MTF) design for large effective mode area, as shown by a cross-section schematic and a refractive index profile design in Fig. 1. [3]. This fiber design offers advantages of relatively easy fabrication, splicing, and cleaving. Numerical simulations reveal that the MTF fiber geometry can provide single-mode operation with a core diameter as high as 100µm with an effective area of ~ 10,000µm2 in a rod-type configuration and ~800µm2 in a bend configuration. A 30µm diameter core MTF has been fabricated and the cross-section and measured refractive index profile is shown in Fig. 2. S2 measurement shows ~50dB suppression of higher order modes (HOM) in a one meter length of fiber. Also, an ytterbium-doped single-trench-fiber laser (slope efficiency ~85%) with a 20µm diameter core has been experimentally demonstrated with very high suppression of HOM (~32dB), which was also verified by S2 measurement. The refractive index profile, plot of laser slope efficiency, an output beam profile and a laser output spectrum are shown in Fig. 3.
Exploring the Potential Association between PAI and CRISPR CAS Region in E.coli CFT073 – An Insilico Approach

Antimicrobial resistance (AMR) continues to be a major problem that jeopardises public health and environment all around the world. New methods for controlling resistant bacterial infections are desperately needed. CRISPR Cas, the recent genome editing technology has potential applicability in fighting against AMR bacterial infections since it has an ability to target resistance genes with specificity. The current study aims to investigate the relationship among antibiotic resistance, virulence genes and insertion sequence along with CRISPRcas locus region in E.coli CFT073 strain through an insilico approach in an attempt to apply CRISPRcas technology to prevent the dissemination of pathogenic strains. Using the CARD database, the existence of eight resistance genes (mdtH, H-NS, baeR, evgA, emrR, gadW, cpxA, and EC-5) was discovered, and the ISs, ISEc10, and IS200c were shown to be prevalent in the E.coli CFT073 strain. Thirteen virulence genes from varied family were identified using virulence finder tool. The study found 19 spacer regions as well as the existence of cas genes using CRISPRcas ++ tool in E.coli genome and also identified the PAM positions along with their flanking IS regions using E CRISP. Two regions (mdtH-IS21 (ISEc10) and emrR-IS110 (ISEc20)) were identified as a promising PAI sites while comparing the locations of PAM, transposase, and antibiotic resistance genes where a knockout mechanism can be applied using CRISPRcas technology to disseminate the spread of AMR among microbial species.
Machine Learning to Calculate Heparin Dose in COVID-19 Patients with Active Cancer

To realize a machine learning (ML) model to estimate the dose of low molecular weight heparin to be administered, preventing thromboembolism events in COVID-19 patients with active cancer. Methods: We used a dataset comprising 131 patients with active cancer and COVID-19. We considered five ML models: logistic regression, decision tree, random forest, support vector machine and Gaussian naive Bayes. We decided to implement the logistic regression model for our study. A model with 19 variables was analyzed. Data were randomly split into training (70%) and testing (30%) sets. Model performance was assessed by confusion matrix metrics on the testing data for each model as positive predictive value, sensitivity and F1-score. Results: We showed that the five selected models outperformed classical statistical methods of predictive validity and logistic regression was the most effective, being able to classify with an accuracy of 81%. The most relevant result was finding a patient-proof where python function was able to obtain the exact dose of low weight molecular heparin to be administered and thereby to prevent the occurrence of VTE. Conclusions: The world of machine learning and artificial intelligence is constantly developing. The identification of a specific LMWH dose for preventing VTE in very high-risk populations, such as the COVID-19 and active cancer population, might improve with the use of new training ML-based algorithms. Larger studies are needed to confirm our exploratory results.
Wind turbine power limitation using power loop: comparison between proportional-integral and pole placement method

This paper deals with power limitation for a small-sized stall-regulated variable speed wind energy conversion system. Here, a Power Loop Control using a Proportional Integral (PI) controller and Pole Placement method are presented. Control effort is focused to control the generated power and the generator torque corresponding to the wind speed variation above the rated wind speed. A simple tuning method of PI controller for Power Loop Control is briefly explained. For pole placement method, the influence of different damping ratios is shown. Finally, the comparison of the transient response of both methods is demonstrated. From the comparison result, it is found that the pole placement method presents some significant overshoot compared to Power Loop case, but it can reach the steady-state value faster than PI. Using pole placement method, the result shows that system with higher damping ratio presents better transient response.
Active learning of probabilistic forward models in visuo-motor development

Forward models enable both robots and humans to predict the sensory consequences of their motor actions. To learn its own forward models a robot needs to experiment with its own motor system, in the same way that human infants need to babble as a part of their motor development. In this paper we investigate how this babbling with the motor system can be influenced by the forward models’ own knowledge of their predictive ability. By spending more time babbling in regions of motor space that require more accuracy in the forward model, the learning time can be reduced. The key to guiding this exploration is the use of probabilistic forward models, which are capable of learning and predicting not just the sensory consequence of a motor command, but also an estimate of how accurate this prediction is. An experiment was carried out to test this theory on a robotic pan tilt camera.
Low Frequency AC Transmission - Elements of a Design for Wind Farm Connection

Low frequency AC (LFAC) provides an alternative to HVDC and HVAC connections for offshore wind farms. Charging current is reduced as compared to standard 50Hz or 60Hz transmission and cable length thus may be extended. LFAC links to wind farms may be interconnected to form an offshore network - a significant advantage over HVDC technology which currently lacks a matured circuit breaker technology to allow such networks. SPEN and University of Warwick, supported by Network Innovation Allowance funding in the UK, initialized a systematic study on the feasibility of an LFAC system. This paper summarises the initial design considerations. A system design for an LFAC connection is established and the key components discussed. The effect of lowering frequency upon transformer design is assessed by developing example designs for the both the wind farm and wind turbine transformer. The next stage of the study will be focused on optimisation of the components and system level simulations as well as cost benefit analysis to reveal the niche market of this technology.
Bacterial safety of lettuce in primary production and fresh-cut processing industry

Fresh-cut or ready-to-eat produce including raw produce are becoming more popular due to changes in people’s lifestyle and constraints such as time pressure and lack of convenience. However, several reports showed that enteric diseases linked to consumption of fresh produce have dramatically increased in the last decades. Microbial contamination occurs during growth, harvesting, processing, distribution, and preparation. Systematic studies are lacking in Belgium to identify the current microbial situation and the critical points along the fresh produce chain. Therefore, a sampling plan was developed to address the data needs, to define the bottlenecks, identify and further understand routes for potential microbial contamination of produce throughout production and processing in Belgium. Insight was achieved in the implementation of good agricultural practices in the primary production process by the combination of an interview, checklist and exploitation of microbial data of lettuce crops and environmental sampling (water, soil) for both greenhouses and open field farms. Two ready-to-eat processors were sampled to gain insight into the impact of the water quality on the microbial quality, hygiene and safety level of fresh-cut lettuce products for the Belgian market representative processing companies. Due to the survey, the major bottlenecks were established being the lack of microbiological knowledge and the management of the irrigation and washing water. Other problems established were the commonly “generic” guidelines in place both in primary production and in the processing industry.
Study About Some Mechanical Properties for Composites Reinforced with Corn Cob Powder

In this paper we have created some composites reinforced with corn cob powder and the matrix was made by a combination between Resoltech 1050 resin with its Resoltech 1058 hardener. For the composites manufacturing, we have used the manual casting technique. For the new manufactured composites, we have determined the mechanical properties from the tensile test according to ASTM D3039: Young modulus, breaking strength and elongation at break. We have also molded samples for the compression test according to ASTM D695-15 and we have determined the breaking strength. The tensile and compression tests were made on universal testing machines. In the end, we have determined also the dynamic mechanical properties for the studied material by clamping the samples at one edge and leaving the samples unconstrained at the other edge. At the unconstrained edge we have placed a Bruel&Kjaer accelerometer which recorded the samples free vibrations. From the free vibrations recording and Euler-Bernoulli theory, we have determined the next dynamic mechanical properties: damping factor per unit mass and length, eigenfrequency, dynamic modulus of elasticity, loss factor and dynamic rigidity. From the experimental results, we have obtained increased breaking strength values for the proposed material at compression compared to the tensile test. Compared to similar materials studied in the engineering literature, we have obtained increased compression breaking strength.