Miracle-dz/UniFAR-FTUs huggingface dataset:
Computers in Industry

Smart warehousing aims at increasing the overall service quality, productivity, and efﬁciency while minimizing the costs and failures. For designing the reference architecture, we apply a domain-driven architecture design approach and use the architecture design knowledge as presented in the software architecture design literature. We ﬁrst provide the results of a thorough domain analysis process to smart warehouses to identify the key concerns that shape the architecture of smart warehouses. The domain model is presented using feature diagrams that show the common and variant features of smart ware-houses. The domain analysis process is followed by the architecture design process, whereby we have used architecture viewpoints for modeling the reference architecture. Different businesses require different kinds of smart warehouses. Therefore, we present the generic business process model for both traditional warehouses and smart warehouses. The business modeling process is followed by the architecture design process, whereby we have used architecture viewpoints for modeling the reference architecture. Once the reference architecture is designed, a case study has been used to evaluate the proposed reference architecture. The case study has been conducted at a large warehouse in the food industry and illustrates the overall design method and presents the lessons learned. © 2020 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
How Auditors’ Approach to Client Inquiry May Affect Skeptical Judgment: A Mixed-method Examination of Client Inquiry and Note Taking

ABSTRACT Client inquiry is a foundational financial statement audit procedure. However, the literature offers little evidence regarding how auditors perform client inquiry and how note taking during client inquiry is associated with audit quality. We conduct a mixed-methods study to examine these issues. First, we conduct interviews with seven highly-experienced auditors and five staff auditors to understand current practices regarding client inquiries, as well as evaluating and documenting evidence gathered from client inquiries. These interviews provide a thorough description of inquiry, highlighting that auditors routinely take notes during inquiry but can have difficulty with the interrelated, complex cognitive tasks of asking questions, processing client answers, and taking notes during inquiry. Second, we conduct two experiments to examine the impact of note taking during inquiry on skeptical judgments. Results from both experiments indicate that auditors taking note of more ideas during the inquiry is positively associated with memory accuracy. However, this does not improve skeptical judgments, and may lead to less skeptical judgments. Our second experiment indicates a prompt to develop expectations prior to the inquiry improves identification of inconsistencies in the inquiry, leading to more skeptical judgments. We offer contributions to the academic literature and practice, and suggestions for future research.
Converting Biomass Derived Synthetic Gas to Fuels via Fisher-Tropsch Synthesis

Abstract This article reviews the methanol synthesis and Fischer–Tropsch synthesis (FTS) from synthesis gas obtained by gasification of biomass. Synthesis gas includes mainly hydrogen and carbon monoxide which is also called as syngas (H2 + CO). Methanol can be produced from hydrogen-carbon oxide mixtures by means of the catalytic reaction of carbon monoxide and some carbon dioxide with hydrogen. Copper-zinc and chrome-zinc catalysts are used in industrial methanol production. Bio-syngas is a gas rich in CO and H2 obtained by gasification of biomass. The aim of FTS is synthesis of long-chain hydrocarbons from CO and H2 gas mixture. The products from FTS are mainly aliphatic straight-chain hydrocarbons (CxHy). Besides the CxHy also branched hydrocarbons, unsaturated hydrocarbons, and primary alcohols are formed in minor quantities. The product distribution obtained from FTS includes the light hydrocarbons methane (CH4), ethene (C2H4) and ethane (C2H5), LPG (C3–C4, propane and butane), gasoline (C5–C12), diesel fuel (C13–C22), and light and waxes (C23–C33). The distribution of the products depends on the catalyst and the process parameters such as temperature, pressure, and residence time.
Black Soldier Fly Larvae Meal as a Fishmeal Substitute in Juvenile Dusky Kob Diets: Effect on Feed Utilization, Growth Performance, and Blood Parameters

Using black soldier fly larvae meal (BSFM) in place of fishmeal is an ingenious strategy for sustainable fish aquaculture. However, BSFM has not been evaluated for dusky kob (Argyrosomus japonicus), an economically important fish in South Africa. Therefore, this five-week study investigated the effect of partially replacing fishmeal with BSFM on feed utilization, growth performance, and blood parameters of juvenile dusky kob in a recirculating aquaculture system. Four diets were formulated by replacing fishmeal in a commercial dusky kob diet with BSFM at the rate of 0 (BSFM0), 50 (BSFM50), 100 (BSFM100), and 200 g/kg (BSFM200). Fish length and weights were measured weekly, while blood analyses were performed at the end of Week 5. For fish length and weight gain, there were neither linear nor quadratic responses in Weeks 1–4, while quadratic trends (y = 14.77 (± 0.19)−0.11 (± 0.05)x + 0.01 (± 0.00) x2; R2 = 0.35 and y = 49.85 (± 1.53)−1.22 (± 0.39)x + 0.06 (± 0.02) x2; R2 = 0.47, respectively) were observed in Week 5 in response to BSFM levels. Quadratic effects (y = 1.75 (± 0.15) + 0.10 (± 0.04)x − 0.01 (± 0.00) x2; R2 = 0.39) were also observed for feed conversion ratio (FCR) in response to BSFM inclusion levels. Fish fed BSFM200 had a similar overall FCR and specific growth rate as those reared on BSFM0. All blood parameters fell within the normal range for the dusky kob. We concluded that 20% dietary replacement of fishmeal with BSFM does not compromise feed utilization and growth performance of juvenile dusky kob.
Mycorrhizal Inoculation Effect on the Forage Cowpea Biomass Production in Burkina Faso

In Burkina Faso, breeding occupies an important place in the country’s economy, but is based essentially on the exploitation of the natural resources (pasture) which remains limited in extent due to the extension of land cultivated by agricultural practices extensive. Food is one of the most important limiting factors in animal production, hence the need to develop mechanisms to improve the production of food resources. This study is a contribution to fodder production improvement. In this study, cowpea was grown in a greenhouse for 60 days and inoculated with two inocula of arbuscular mycorrhizal fungi. The growth parameters were measured at 30 and 60 days after sowing. Shoot, root and total biomass were evaluated 60 days after sowing. The results show Yac 2 mix inoculum improves height growth (95.5%), height relative growth rate (525%), collar diameter (138%), collar diameter relative growth rate (328.57%), shoot biomass (396.3%), root biomass by (205.66%), total biomass by (320%), total nitrogen of aerial parts (92.39%) and total phosphorus of aerial parts (143.48%) compared to control. Yac 2 mix appears the most effective of all inoculum used in this study.
The digitization of shared cultural built heritage highlighted in “Heritage at Risk in Algeria”.

The present paper deals with the technic using the terrestrial laser scanning survey (TLS) in the restoration and conservation of the shared built cultural heritage in Algeria. The cross-section method, that was the skeleton of our surveys, is applied by using directly 3D meshing models. The project described in this article was motivated by the need to document some of key buildings, that looks very venerable, in the city of Setif in Algeria: The Mosque of El Attik minaret, the mausoleum of Scipion, and the statute of the fountain of Fouara. This statue which is made of marble was realized by Francis de St Vidal in 1899 that represents a nymph which is a part of the fountain, publicly displayed in the center of the city’s main plaza. On 18 December 2018, a man has deteriorated the statute. Following the day of the incident, our team has been called to use a previous scanner laser survey of the nymph that was stored in our cultural heritage monument database in order to help the restoration of the missing part of the nymph (the face and the breast). As a matter of fact, the original laser scanning survey provided a helpful and accurate details to support the restoration of the nymph. If the experience of Ain fouara show all the interest of this technology not only in the digital archiving of 3D models generated; the digitization of The Mosque of El Attik minaret and the mausoleum of Scipion highlights the effective use of 3D meshing models obtained, in the study of the mechanical behaviours. This preventive approach is useful in other studies of shared cultural built heritage.
The Waiving of Parole Consideration by Inmates With Mental Illness and Recidivism Outcomes

For many adults leaving prison, parole supervision can provide the support necessary for successful adjustment to community life. Those leaving prison who have a mental illness (MI) may benefit particularly from such services. However, many people who are incarcerated waive their opportunity for parole and choose instead to “max out” their sentences. This study explores whether decision-making and community risk predictors differ between people who are incarcerated with (n = 1,575) and without (n = 20,220) MI and who choose to voluntarily max out their sentence (i.e., waive parole), who max out involuntarily through denial of parole, and who are released to parole supervision. We found the presence of an MI was associated with the decision to forgo parole, but not recidivism. Those who maxed out their sentence (regardless of voluntariness of decision) had increased likelihood of recidivating. Implications for parole policy, practice, and research are discussed.
Headache outcomes after surgery for pineal cyst without hydrocephalus: A systematic review

Background: Pineal cysts are common entities, with a reported prevalence between 10 and 54%. Management of pineal cysts has historically been expectant, with surgical treatment of these lesions usually reserved for patients with a symptomatic presentation secondary to mass effect. The appropriate management of pineal cysts in patients presenting with headache in the absence of hydrocephalus – often the most common clinical scenario – has been more ambiguous. Here, we report the results of a comprehensive systematic review of headache outcomes for surgically treated, non-hydrocephalic pineal cyst patients without signs of increased intracranial pressure (ICP). Methods: Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed to construct a systematic review. A comprehensive search of the PubMed, Embase, Scopus, and Web of Science databases was conducted from through June 2020. Relevant English-language articles were identified using the search terms “pineal cyst” and “headache. ” The following eligibility criteria were applied: the inclusion of at least one surgically-treated, non-hydrocephalic pineal cyst patient presenting with headache in the absence of hemorrhage or signs and symptoms of increased ICP. Patient demographics and post-operative headache outcomes for the included studies were extracted and summarized. Results: A total of 24 pineal cyst cases meeting our selection criteria were identified across 11 included studies. Postoperative improvement or resolution of headaches was reported for 23/24 patients. Our systematic review of the literature demonstrates that non-hydrocephalic patients with pineal cysts have a high rate of headache improvement following surgical intervention. Conclusion: The results indicate a need for further investigation of the link between headache and pineal cysts in the non-hydrocephalic patient.
A framework to evaluate climate effects on forest tree diseases

A conceptual framework for evaluation of climate effects on tree diseases is presented. Climate can exacerbate tree diseases by favouring pathogen biology, including reproduction and infection processes. Climatic conditions can also cause abiotic disease—direct stress or mortality when trees’ physiological limits are exceeded. When stress is sublethal, weakened trees may subsequently be killed by secondary organisms. To demonstrate climate's involvement in disease, associations between climatic conditions and disease expression provide the primary evidence of atmospheric involvement because experimentation is often impractical for mature trees. This framework tests spatial and temporal relationships of climate and disease at several scales to document climate effects, if any. The presence and absence of the disease can be contrasted with climate data and models at geographic scales: stand, regional and species range. Temporal variation in weather, climate and climate change is examined during onset, development and remission of the disease. Predisposing factors such as site and stand conditions can modify the climate effects of some diseases, especially at finer spatial scales. Spatially explicit climate models that display temperature and precipitation or derivative models such as snow and drought stress provide useful data, and however, information on disease extent at different spatial scales and monitoring through time are often incomplete. The framework can be used to overcome limitations in other disease causality approaches, such as Koch's postulates, and allow for the integration of vegetation, pathogen and environmental data into causality determinations.
Computer-simulation of adsorption and diffusion of hydrocarbons in zeolites

Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva. nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.
THE IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORKS IN DESIGNING INTELLIGENT DIAGNOSIS SYSTEMS FOR CENTRIFUGAL MACHINES USING VIBRATION SIGNAL

It is important to maintain every machine affecting the process of making sugar to ensure excellent product quality with minimal losses and to accelerate productivity and profitability targets. The centrifuges are widely used in industry today with some being very difficult and critical for surgery, and the collapse of the engine has the ability to cause expensive damage. One of these is the centrifugal machines, and they are expected to be efficient to produce high-quality sugar. Meanwhile, an efficient diagnostic tool to predict the correct time for centrifugal repair is vibration signal analysis namely by attaching the accelerometer sensor to the location of the centrifugal bearing to produce vibration data that is ready to be analyzed. Still, the process requires sufficient insight and experience. The manual method usually used is complicated and requires a lot of time to obtain results of a centrifugal diagnosis. Therefore, this study was conducted to design an intelligent system to diagnose centrifugal vibrations using Artificial Neural Networks (ANN). The situation is involved in applying and training the concept of vibration analysis from spectrum data to ANN to produce diagnostic results according to the spectrum diagnosis reference. The results obtained were quite good with the largest cross-entropy value of 10.67 having 0% error value with the largest Mean Square Error value being 0.0023 while the smallest regression was 0.993. The test conducted on nine new spectrums produced eight true predictions and one false. The system can provide fairly accurate results in a short time. Classification quality improvement can be made by adding training data.
The Social Network Consequences of a Gang Murder Blowout

An unexpected crisis in a criminal organization offers a rare opportunity to analyze whether and how the configuration of business and trust relationships changes in response to external shocks. The current study recreates the social network of the Red Scorpion gang members involved in the Surrey Six Murder, one of the deadliest gang-related homicides to occur in Canada. The event, which involved two bystanders and six victims in total, was the result of a poorly executed retaliation. Our analyses focus on two phases of the network, the conspiracy phase and the post-murder phase. In each phase, we examine the balance of business, trust, and conflictual ties. Results show that the relative importance of key participants changed from the conspiracy to the post-murder phases, whereby strong, trusted ties gained prominence over the mostly business-oriented network of the conspiracy phase.
Siblings Dealing with Pediatric Cancer: A Family- and Context-oriented Approach

Background: Pediatric cancer is a severe life-threatening disease that poses significant challenges to the life of the siblings. Based on the social ecology model, the current study is aimed at exploring the association between intrafamilial (family functioning, family support) and contextual (network support) resources, and the individual adjustment of siblings facing cancer in their brother/sister. Methods: Participants were 81 siblings of children with leukemia or non-Hodgkin lymphoma. The mean siblings’ age was 10.32 years. Siblings completed the Family Environment Scale, the Social Support Questionnaire for Children, the Situation-Specific Emotional Reactions Questionnaire, and the Pediatric Quality of Life Inventory. Data were analyzed using a multi-level approach. Results: Family functioning, family support, and network support proved to be related to siblings’ cancer-related emotional reactions post-diagnosis. In addition, the present study suggests taking into account the gender of the ill child and the age of the siblings. Discussion: Our findings led to the conclusion that resources at both the intrafamilial level and the contextual level are important for explaining sibling adjustment post-diagnosis. Interventions targeting the sibling, the family, and the external network are warranted to enhance sibling adjustment.
EMONET: A Cross Database Progressive Deep Network for Facial Expression Recognition

Recognizing facial features to detect emotions has always been an interesting topic for research in the field of Computer vision and cognitive emotional analysis. In this research a model to detect and classify emotions is explored, using Deep Convolutional Neural Networks (DCNN). This model intends to classify the primary emotions (Anger, Disgust, Fear, Happy, Sad, Surprise and Neutral) using progressive learning model for a Facial Expression Recognition (FER) System. The proposed model (EmoNet) is developed based on a linear growing-shrinking filter method that shows prominent extraction of robust features for learning and interprets emotional classification for an improved accuracy. EmoNet incorporates Progressive- Resizing (PR) of images to accommodate improved learning traits from emotional datasets by adding more image data for training and Validation which helped in improving the model’s accuracy by 5%. Cross validations were carried out on the model, this enabled the model to be ready for testing on new data. EmoNet results signifies improved performance with respect to accuracy, precision and recall due to the incorporation of progressive learning Framework, Tuning Hyper parameters of the network, Image Augmentation and moderating generalization and Bias on the images. These parameters are compared with the existing models of Emotional analysis with the various datasets that are prominently available for research. The Methods, Image Data and the Fine-tuned model combinedly contributed in achieving 83.6%, 78.4%, 98.1% and 99.5% on FER2013, IMFDB, CK+ and JAFFE respectively. EmoNet has worked on four different datasets and achieved an overall accuracy of 90%.
Understanding the Real-World Impact of Geographical Indications: A Critical Review of the Empirical Economic Literature

In our study, we tried to collect empirical studies focusing on the economic impact of Geographical Indications (GIs). Using a systematic literature review approach, we investigated three different aspects: market size, price premium and impacts on rural development. Based on the findings of studies both from the grey and academic literature, the results are quite mixed. Though the number of GI-related empirical studies has risen in recent years, there is a lack of economic data to support policies related to GIs, even in the European Union (EU), where the most important GI system exists. Overall, it is impossible to draw any general conclusions about the economic impact of GIs. Some countries have remarkable GI market size, and some GI products have a determinative role in both domestic and export markets; however, it is not general. Again, some particular GI products of some regions could gain significant price premiums, but due to the associated higher production costs and unequal distribution in the value chain, it might not result in higher producer incomes. The most conflicting empirical results were found in how GIs can contribute to regional prosperity, as evidences of the harmful effects of GIs on rural development were also identified.
Study on construction mechanics of in-situ expansion of ultra-large flat tunnel in collapse section of an existing tunnel

To meet the needs of the transportation, a tunnel in Fujian Province was expanded in situ to form an ultra-large flat tunnel. In some sections, a large-scale collapse has occurred during the original tunnel construction, which brings a huge risk for the expansion construction. Based on the above background, the theoretical formula is used to calculate the spatial distribution of the collapse, and the dynamic construction mechanical characteristics of the CRD method are studied through numerical analysis and field tests. The results show that: (1) curves of the surface settlement are presented small in both ends while big in the middle, and the settlement center appears above the left side of the tunnel centerline, and the surface settlement caused by the excavation of the upper bench is the largest; (2) the surrounding rock disturbance range is 0.5 times of the tunnel diameter in front and rear of the tunnel. The deformation of the left spandrel of the tunnel is the largest; (3) there are two "V" shaped shear plastic areas in the arch of the tunnel, which is deep into the surrounding rock. During the tunnel construction, the monitoring results of surface settlement, surrounding rock, and support system deformation are in good agreement with the numerical simulation results, which verifies the reliability of the numerical simulation. The research results can provide a reference for the further study of the stability of surrounding rock during the expansion construction of the ultra-flat section tunnel and provide some reference for similar projects in the future.