Miracle-dz/UniFAR-FTUs huggingface dataset:
Lomami Buffer Zone (DRC): Forest composition, structure, and the sustainability of its use by local communities

The recently created Lomami National Park has an extensive Buffer Zone where local communities are allowed to use forest products sustainably. However, the management of this Buffer Zone is hampered by inadequate understanding of the floristic composition and the impacts of harvesting certain plant products. To fill in this data gap, we established and sampled 30 vegetation plots of 40 × 40 m, and investigated the population structure of 11 useful tree species preferred by local communities. We found that the Buffer Zone is mostly composed of mixed‐species undisturbed old growth forest. It contains nine tree species of international conservation concern (listed in the IUCN Red list and/or apart from the Red list, Gibourtia demeusei, not been assessed by IUCN Red list, is listed in CITES Appendix II since January 2017; UNEP‐WCMC, Review of selected Dalbergia species and Guibourtia demeusei, UNEP‐WCMC, 2017). The floristic diversity of the Buffer Zone, which requires further investigation as some species remained unidentified. Most preferred tree species (including Garcinia kola and Milicia excelsa) are abundant and showed a reverse‐J size distribution, indicating a relatively stable population structure. For these species, current levels of exploitation seem sustainable. Further research is needed for two nonabundant species of conservation concern (Autranella congolensis and Michelsonia microphylla). Although timber/firewood commercial harvesting is currently limited in the study area, the management plan of the Buffer Zone should consider these risks given increasing commercial hunting. Surveys and permanent plots provide essential information to guide the management of newly formed protected areas.
Post-mortem characterization of Dorper x Santa Inês lambs fed diets containing alternative foods

The objective of this study was to evaluate the post-mortem characteristics of lambs fed diets containing alternative foods. Twenty lambs, castrated Dorper x Santa Inês males, aged approximately 90 days and with mean weight of 20 kg were used. Experimental diets were composed of ground corn, soybean meal, mineral supplement, urea and Tifton-85 hay (forage). In addition to these ingredients, cottonseed, sunflower meal and castor bean cake were used as alternative foods in the proportions of 10, 8 and 8% of %DM, respectively. The experiment lasted 106 days, with 14 days for adaptation and 92 days for evaluation and data collection. At the end of the confinement period, the lambs were slaughtered, and the carcasses kept under cooling for a period of 24 hours. The measurements of pH, carcass temperature (internal and external) were measured in the Longissimus lumborum muscle, as well as the temperature and relative humidity of the cold chamber were measured. Muscle pH was altered as a function of diet and reached a value of 5.78 (lower pH) when lambs received the diet with castor bean cake. The internal carcass temperature was higher in the lambs that received the diet containing cottonseed (19.98°C), sunflower meal (19.71°C) and castor bean cake (19.87°C). The alternative foods can be used as ingredients in the formulation of diets for Dorper x Santa Inês lamb, for promoting the proper development of the post-mortem process, characteristic of good quality sheep meat.
Vibration Character Analysis and Calculation for Hemispherical Resonator Gyro

Hemispherical Resonator Gyro is rotation-sensing instrument and has the merits of reliability and longevity etc. The precision of HRG is depended on the vibration character of hemispherical shells. Using the semi-analytic method, this paper discussed vibration character of hemispherical shell resonator and derived an algorithm of semi-analytic spherical elements. The method applies displacement function with toroidal analysis and axial discrete, so original two dimension problem is reduced to one dimension problem. The new method is very much simplified and can efficiently calculate the correlative physical character of hemispherical shell resonator, so it has high practical value for engineering application.
Systematic Human Error Reduction and Prediction Approach while Drilling

Various Human factors tools have been tried and tested till date. This project involves the study on the wide-ranging aspects of interaction of human beings within theirworking environment, their overall performance and thus illustrates and judges the probability of occurrence of human errors during such interaction. The results obtained havebeen derived from realistic practical working data, since these techniques have already been applied to tasks and personnel in the Oil and Gas Extraction business. Some ofthe Human factor Tools exploited in the arena includes: investigation and accident procedures. Learning lessons from the experience in the past, this method aims to identify the casual paths and multi-causality of the incident under investigation. It clearly differentiates between humans, vegetation, actions and events. Instead of focussing on the superficial events, the underlying root causes are sought. Interviews with team members, live and recorded transcripts, hand-outs from alarm lists, data from measured variables and various other data related to incident are collected to develop the model. Next, the personnel and vegetation are plotted down the vertical axis with the timeline on horizontal axis. The length of the finished graph may extend to several feet. Then, lines depicting casual paths can be drawn between events. The paths may lead to several events or not even a single one. Lastly, the underlying root causes are sought after completion of the analysis.
Pengaruh E-Learning Readiness, Innovation, Performance Expectancy dan Perceived Usefulness terhadap Intention To Use E-Learning pada Perguruan Tinggi di Yogyakarta

Penelitian ini bertujuan untuk menganalisis kembali intention to use e-learning yang dipengaruhi oleh e-learning readiness, innovation, performance expectancy dan perceived usefullness. perceived usefullness memediasi hubungan antara e-learning readiness dan innovation terhadap intention to use e-learning. Penelitian ini memiliki jumlah sampel sebanyak 31 perguruan tinggi di Yogyakarta. Partial Least Square digunakan untuk menguji hipotesis pada penelitian kuantitatif ini. Hasil uji menemukan bahwa intention to use e-learning secara positif dan signifikan dipengaruhi oleh e-learning readiness, innovation, performance expectancy dan perceived usefulness. Perceived usefulness secara positif dan signifikan memediasi hubungan antara antara e-learning readiness dan innovation terhadap intention to use e-learning.
Substrate integrated waveguide Yagi-Uda antenna

A novel substrate integrated waveguide (SIW) Yagi-Uda antenna for 60 GHz applications is presented. The proposed antenna has the merits of low profile and light weight and is suitable for direct integration with the SIW wireless front end. Simulated results are compared with measured data and good agreement is reported.
Environmental Impacts Assessment of the Platinum Nanophase Composite Electrode by Eco-Indicator 99 Methodology

Platinum nanophase composite electrode for hydrogen generation by water electrolysis process has to meet sustainable development requirements even in its development phase by reducing GHG emissions to irrelevance. It is therefore important to determine possible emissions, to estimate the energy consumption and identify key parameters in the improvement of the process used to develop the electrode. Eco indicator 99 was used to assess and determine the types of impacts on the environment of the process of the preparation of the composite electrode and Umberto software was used to develop life cycle assessment inventory (LCIA).
Web acquired image datasets need curation: an examplar pipeline evaluated on Greek food images

Mining Web data to create AI-usable datasets, is still non-trivial. Unfortunately, despite the free data access, the formation of a dataset useful for machine learning applications cannot rely solely on a data mining phase. For any given query, the retrieved sample may include duplicated, misclassified or completely irrelevant content. The consequence of not “cleaning” those datasets is to end up with faulty, noisy and imbalanced datasets. Thus, curation is necessary, to tackle the variable degrees of inconsistency found on the retrieved samples. This paper suggests a pipeline consisting of state-of-the-art and off-the-shelf methods for curating an image dataset retrieved from the Web. As a case study, the pipeline is applied on expanding food datasets with currently uncategorized Greek dishes, leveraging information found in a specialized ontology, aiming at increasing the accuracy in food recognition applications.
A modified sliding mode speed control scheme for AC servo motor

In this paper, a sliding mode controller (SMC) which can be characterized by high accuracy, fast response and robustness is applied to speed control of an AC-servo motor. The control input is changed to a continuous one in the boundary layer to reduce the chattering phenomenon, and the boundary layer converges to zero when the state variables of the system reach their steady state values. The integral compensator is added to reduce steady state error and to provide the continuous torque reference. The acceleration which is necessary to get the sliding plane is estimated by an observer. The sliding surface is included in the control input to enhance the robustness and transient response without increasing the sliding mode controller gain. The proposed controller is implemented by DSP (digital signal processor). The effectiveness of the proposed control scheme for the speed controller is confirmed through the real-time experimental results in the paper.
Risk factors associated with the occurrence of multiresistant Staphylococcus spp. isolated from bovine subclinical mastitis in northern Brazil

Staphylococcus bacteria are often associated with subclinical bovine mastitis. This study aimed to identify multiresistant Staphylococcus spp. associated with subclinical mastitis and the associated risk factors. Twenty-three dairy farms with a history of decrease in milk production, located in the lower Acre region, Brazil, were selected. An epidemiological questionnaire was provided in all farms. All animals were examined using the California Mastitis Test (CMT) and their milk samples were collected for bacterial culture. After isolation and identification, the disk diffusion antimicrobial susceptibility test was performed against nine classes of antimicrobials. Of the 339 cows examined using the CMT, 108 had mastitis. A total of 229 milk samples were collected from individual teats. MALDI-TOF MS found isolates belonging to eight species of Staphylococcus, in 101 of these samples. S. chromogenes (58.4%) demonstrated strongest resistance to the nine classes of antimicrobial active principles. Nineteen isolates with multidrug resistance phenotypic profile were identified. This phenotypic expression indicates wide circulation of resistant genes in this species. The presence of multidrug resistance in Staphylococcus spp. in this study was correlated with lack of water for cleaning the corral, which is a preventive factor, minimizing the transmission and persistence of pathogens in the farms.
Diversity and Plant Growth-Promoting Ability of Endophytic, Halotolerant Bacteria Associated with Tetragonia tetragonioides (Pall.) Kuntze

The diversity of salt-tolerant cultivable endophytic bacteria associated with the halophyte New Zealand spinach (Tetragonia tetragonioides (Pall.) Kuntze) was studied, and their plant beneficial properties were evaluated. The bacteria isolated from leaves and roots belonged to Agrobacterium, Stenotrophomonas, Bacillus, Brevibacterium, Pseudomonas, Streptomyces, Pseudarthrobacter, Raoultella, Curtobacterium, and Pantoea. Isolates exhibited plant growth-promoting traits, including the production of a phytohormone (indole 3-acetic-acid), cell wall degrading enzymes, and hydrogen cyanide production. Furthermore, antifungal activity against the plant pathogenic fungi Fusarium solani, F. oxysporum, and Verticillium dahliae was detected. Ten out of twenty bacterial isolates were able to synthesize ACC deaminase, which plays a vital role in decreasing ethylene levels in plants. Regardless of the origin of isolated bacteria, root or leaf tissue, they stimulated plant root and shoot growth under 200 mM NaCl conditions. Our study suggests that halophytes such as New Zealand spinach are a promising source for isolating halotolerant plant-beneficial bacteria, which can be considered as potentially efficient biofertilizers in the bioremediation of salt-affected soils.
A COMPARISON OF UNDERWRITER REPUTATION MEASUREMENT METHODS IN EXPLAINING IPO STOCK PERFORMANCE

This study objective compares the underwriter reputation, measured by a different method, in explaining Initial Public Offering (IPO) performance. The reputation is measured based on underwriter IPO frequency and deal value. The underwriter's reputation is then ranked and categorized into quartiles. We use cross-section regression methods to test the effect of different underwriter reputation measurement methods on IPO performance. The dependent variable is short-term and long-term IPO performance. The independent variable is four underwriter reputation categories represented by three-level dummy variables. We found that only underwriter reputation measured by IPO frequency can explain IPO performance. The findings suggest IPO frequency help underwriter understand the market condition and value IPO more accurately. Firms that want to reduce the cost of IPO underpricing should choose underwriters with a higher IPO frequency.
Generator with levitated magnet for vibration energy harvesting

In this paper is presented an extensive theoretical study and some experimental results regarding an electromagnetic generator based on levitated magnet, designated to harvest energy from ambient vibrations. Generator optimization for achiev- ing the maximum values of transmissibility and electrical power was performed by considering a resonance frequency different from the natural frequency that is usually used in literature. The step response of the system, described analytically, is useful in the analysis of generators subject to sudden variations of the random vibration amplitude. The obtained experimental results indicate the possibilities of optimization and increase of the device power depending on the frequency and amplitude of external vibrations. The generator with levitated magnet studied in this paper, provided a maximum power of 27 mW when working as a quasi-linear oscillator and of 64 mW, respectively, when working as a non-linear oscillator.
Atlantic mackerel ( Scomber scombrus ) change skin colour in response to crowding stress

Abstract Wild capture can be stressful for fish. Stress has the potential to induce mortality in released unwanted catches or negative flesh quality consequences in retained ones. Such effects compromise sustainable natural resource management and industry profitability. Mitigating stress during capture is therefore desirable. Biological indicators of stress can objectively inform fishers as to the functional welfare status of catches during fishing operations. If they are to be of practical use in mitigating stress during wild capture events, such indicators must be quantifiable, respond rapidly, reflect the level of induced stress and be easily observable. Atlantic mackerel (Scomber scombrus) are extensively targeted by purse seine fisheries in European waters but are particularly vulnerable to stress. Excessive crowding in the net is thought to be the principal stress mechanism. There is therefore a need to develop indicators of crowding stress for this species so that catch welfare can be improved. Here, we demonstrate that S. scombrus exhibit a skin colour change from predominately green to predominately blue when exposed to crowding stress. In sea cage trials, we induced various degrees of stress in groups of wild‐caught S. scombrus by manipulating crowding density and its duration. Skin colour was quantified in air using digital photography. The colour change occurred rapidly (within the typical duration of crowding events in the fishery), and its magnitude was correlated to the severity and duration of crowding. Bluer fish were also associated with higher levels of plasma lactate. No appreciable colour change was observed in uncrowded (control) groups during the treatment period. Nonetheless, unstressed S. scombrus did turn blue <1 h after death. Together, these results indicate that skin colour change has the potential to be a useful real‐time indicator of crowding stress for S. scombrus and could therefore be used to improve welfare during wild capture fishing.
A Bibliometric and Visual Analysis of Global Urban Resilience Research in 2011–2020: Development and Hotspots

Urban resilience (UR), which promotes the implementation of resilient cities, has received widespread attention. The purpose of this study is to visualize the knowledge background, research status, and knowledge structure of relevant literatures by using a Citespace based scientometrics survey. The results show that UR is an increasingly popular topic, with 2629 articles published during the study period. (1) The most prolific publications and journals involved in the flourishment of UR research were identified by co-citation. The United States was the most productive contributor, with numerous publications and active institutions. Journal of Cleaner Production, Sustainability, International Journal of Disaster Risk Reduction were the three most cited journals. (2) Co-occurrence analysis was employed to determine the highly productive keywords, and subject categories in the UR domain, including “environmental science & ecology”, “environmental sciences, “science & technology”, “environmental studies”, “green & sustainable science & technology”, and “water resources”. (3) The diversity of highly cited authors in different countries and regions confirmed the evolution of UR studies. (4) Furthermore, the classification of UR knowledge was performed in the form of clusters and knowledge structure to achieve ten distinct sub-domains (e.g., Urban floods and stormwater management, Urban ecosystem services, Urban landscapes, and Trauma). This study provides an overview of UR research and research topics so that future researchers can identify their research topics and partners.
DAN & Danny: Combining Analog and Digital Self-Tracking Data to Manage Wellbeing

An uprising trend of Personal Informatics has leveraged mobile applications to help users track their wellbeing; however, these digital solutions focus on quantitative data, lacking the insights provided by qualitative data in paper notebooks. We propose to digitally augment a paper diary to allow both analogue and digital data, bridging the gap between qualitative and quantitative data tracking practices to support better awareness and reflection on health data. As a first case-study, we designed a self-tracking tool to help college students manage their wellbeing by increasing self-awareness and easing help-seeking behaviours. Next, we conducted a longitudinal study to validate the tool's effectiveness and analyse its acceptability. Results show that our approach helped students by allowing moments of self-reflection and self-awareness. Additionally, our findings suggest that qualitative data is most useful when important events and abrupt changes to wellbeing occur. Preference for paper or digital diaries is highly user-dependent; however, most participants favoured a digital-only tool with notetaking capabilities.
Towards Successful Home Zones in the UK

This paper presents lessons emerging from an initial attempt to introduce home zones within the UK. The home zone concept is defined and discussed, and the recent political interest in home zones is explained. Following this, research into the experience of trying to plan and implement 14 pilot projects is presented. The paper concludes by discussing the lessons which have been learnt from this experience, with a view to informing future practices. The lessons relate to both the home zone planning process and approaches to home zone design.
An Occupancy Mapping Method Based on K-Nearest Neighbours

OctoMap is an efficient probabilistic mapping framework to build occupancy maps from point clouds, representing 3D environments with cubic nodes in the octree. However, the map update policy in OctoMap has limitations. All the nodes containing points will be assigned with the same probability regardless of the points being noise, and the probability of one such node can only be increased with a single measurement. In addition, potentially occupied nodes with points inside but traversed by rays cast from the sensor to endpoints will be marked as free. To overcome these limitations in OctoMap, the current work presents a mapping method using the context of neighbouring points to update nodes containing points, with occupancy information of a point represented by the average distance from a point to its k-Nearest Neighbours. A relationship between the distance and the change in probability is defined with the Cumulative Density Function of average distances, potentially decreasing the probability of a node despite points being present inside. Experiments are conducted on 20 data sets to compare the proposed method with OctoMap. Results show that our method can achieve up to 10% improvement over the optimal performance of OctoMap.
Mechanics of Form-Persuasive Garments Based on Spandex Fibers1

Form-persuasive garments are new lightweight briefs and panty girdles which use 40-140-den spandex yarns and have a level of control intermediate between stretch nylon panties and conventional high-support foundations. This work was done to provide a basic understanding of the functionality of these garments and to provide a basis for proper garment design. Consumer tests showed high interest in this concept, and a new market potential exists for form-persuasive garments to complement the high-sup port segment of the foundation market, particularly for casual wear and sportswear . and for subjects requiring relatively minor adjustments to their figures. The major functional contribution of form-persuasive garments is to provide geometric adjustments and dynamic control of the body approaching that of high-support foundations but with about 60% of the constraint. The required levels of fabric extension were specified, and expressions were derived and confirmed by actual wear tests to predict these levels. Definitions were also furnished for preferred levels of garment support to provide wearer identi6able geometric and dynamic adjustments to the body. Several new tests were developed to identify garment pressure and body responses to varying support levels. A modified fabric test was also proposed.
Deep Neural Networks Based Approach for Pothole Detection

Potholes on the road cause inconvenience to commuters and delay in delivering products and services. The current pothole detection methods require manual inspection of roads using custom sensors installed on specially adapted vehicles. The procedure is time-consuming and labour intensive. Internet of Things (IoT) is an emerging technology that has the potential to provide an efficient and cost-effective solution to road pothole detection. This paper proposes a novel Convolution Neural Networks (CNN) based approach for pothole detection. The approach fuses imagery and sensory data to perform pothole detection. In the experimental studies performed, the proposed approach was able to achieve 87.20% precision, 92.7%recall and 89.9% F1-Score.