Miracle-dz/UniFAR-FTUs huggingface dataset:
Synthetic Biology Tools for Engineering Aspergillus oryzae

For more than a thousand years, Aspergillus oryzae has been used in traditional culinary industries, including for food fermentation, brewing, and flavoring. In recent years, A. oryzae has been extensively used in deciphering the pathways of natural product synthesis and value-added compound bioproduction. Moreover, it is increasingly being used in modern biotechnology industries, such as for the production of enzymes and recombinant proteins. The investigation of A. oryzae has been significantly accelerated through the successive application of a diverse array of synthetic biology techniques and methodologies. In this review, the advancements in biological tools for the synthesis of A. oryzae, including DNA assembly technologies, gene expression regulatory elements, and genome editing systems, are discussed. Additionally, the challenges associated with the heterologous expression of A. oryzae are addressed.
12. The Character and Dynamics of the Cerrado Herpetofauna

The earliest work on the herpetofauna of the cerrado is a list of 54 reptiles and amphibians from Lagoa Santa, state of Minas Gerais, prepared by Warming (1892). More than 50 years later, Vanzolini (1948) presented an annotated list of 22 snake and 11 lizard species from Pirassununga, state of Sao Paulo. Moreover, Vanzolini (1974, 1976, 1988) examined the distribution patterns of cerrado and caatinga lizards, concluding that no characteristic lizard fauna is harbored by either biome, both biomes belonging to a corridor of open vegetation ranging from northwestern Argentina to northeastern Brazil (see chapter 6). According to Vanzolini (1976), the lack of differentiation of the herpetofauna along his “great diagonal belt of open formations’’ results from present-day ample, interdigitating contacts between the caatinga and the cerrado and past climatic cycles that promoted the expansion and retraction of both biomes, leading to extensive faunal mixing. This idea received further support from Duellman (1979), Webb (1978), and Silva and Sites (1995). More recently, in a preliminary survey conducted near Alto Araguaia, Mato Grosso, Vitt (1991) concluded that the cerrado lizard fauna is depauperate when compared to its caatinga and Amazonia counterparts, most noticeably with respect to the Gekkonidae, and that ecological factors such as low habitat structural diversity and the occurrence of fires may account for the low lizard diversity. In sum, the aforementioned works indicate that the cerrado herpetofauna (1) has low levels of species diversity and endemism; (2) lacks a character; and (3) is more similar to the caatinga than to other South
ChatGPT Makes a Difference in Daily Life: As a Life Guidance

Although Chat Generative Pre-trained Transformer (ChatGPT) has made significant strides in various domains such as education, healthcare, and music, the current situation highlights a lack of comprehensive research and analysis regarding its influence on these vital aspects of life. This research commences by outlining ChatGPT's training capabilities and its developmental journey. Subsequently, this review delve into its practical application in real-world scenarios, where ChatGPT is assigned the task of generating a 90-second background score while adhering to specific constraints. A notable assessment by Marco Cascella and colleagues is then presented, where ChatGPT was engaged to generate a medical report for ICU patients, using a set of non-sequentially provided medical parameters such as treatments, laboratory results, and respiratory metrics. This section also critically examines the limitations of ChatGPT in handling medical queries. Further, this review discussed the generative AI architecture of Baidu Anu, D, highlighting its remarkable efficacy, using ChatGPT as an illustrative example, particularly in pedagogical settings. The paper concludes by acknowledging the substantial contributions of ChatGPT in various arenas, while also addressing its inherent limitations. The study findings suggest that ChatGPT can notably benefit areas such as education, healthcare, or music, thanks to the robust language AI model created by OpenAI.
Comparison of Copper and Zinc Sorption
Depending on Temperature and Sorbents

In this paper, we compared the sorption of copper and zinc on three adsorbents - bentonite, zeolite, and dewatered digested sludge from a wastewater treatment plant. Sorption was carried out at 27 º C and subsequently at a reduced temperature of 10 º C and the results were compared. The reduced temperature positively affected the sorption efficiency and increased the adsorption capacity of the monolayer of each sorbent. Regardless of the temperature, the sorption progression was not linear. In the initial phase, the sorption proceeded rapidly, but after about 90 min the system reached equilibrium and the concentrations of metals in solution did not change significantly. The size of the specific surface area of the sorbents did not directly correlate with the removal efficiency of Cu 2+ and Zn 2+ . Copper sorption by bentonite reached a level of almost 100% at reduced temperature and 80% at room temperature. The efficiency of zinc removal by bentonite was found to be 40% at reduced temperature. The efficiency of copper removal using zeolite was approximately 90% at both laboratory and reduced temperature. For bentonite and zeolite, we confirmed their good sorption properties. The sludge showed low Cu 2+ sorption efficiency, but Zn 2+ removal efficiency was higher than bentonite and zeolite. In both cases, the reduced temperature had a positive effect on the sorption capacity of the sludge. Sludge as a waste material could be used for heavy metal removal by modifying the sorption conditions or its modifying, which should be further investigated.
Memory error detection and error correction

A memory in which each word location for a user word not only contains the bit locations for the actual data but also one parity bit for the parity over the entire word location and one correction bit. A fixed number of word locations are grouped to form a memory location for the storage of a memory word. When a word location is read by a data user, the parity bit indicates whether the word location contains none or one bit error. If the user word contains an error, the other word locations of the same memory location and also the associated correction bits are read to correct one arbitrary bit error in the memory word. In given cases, a plurality of bit errors can be corrected if they are situated in bit positions of the same rank within the word locations for the user words. The chance that a multiple error has exactly this configuration can be enhanced by a suitable arrangement of the bit locations in a memory. Thus, a limited amount of redundancy suffices in many cases. Memory words in different memory banks may have correction bits in common.
Influence of friction pressure and friction time interaction on the joint strength of friction welded ST 41 steel

The influence of heating stage parameters in RFW (rotary friction welding) of ST 41 steel is studied in this work. A Series of experiments on ST 41 steel were conducted in a lathe machine equipped with a hydraulic power pack system. Full factorial design of experiments is employed to investigate the influence of the parameters, i.e., friction pressure and friction time on the joint strength of the samples. A replication experiment is carried out to study if the factors’ interaction affects joint strength. Cross-weld tensile tests were performed using tensile specimens that ensure failure at the joint. The results indicated a significant influence of friction pressure, friction time, and their interaction on the joint strength.
Blockchain-Powered Gaming: Bridging Entertainment with Serious Game Objectives

The advancement and acceptance of new technologies often hinges on the level of understanding and trust among potential users. Blockchain technology, despite its broad applications across diverse sectors, is often met with skepticism due to a general lack of understanding and incidents of illicit activities in the cryptocurrency domain. This study aims to demystify blockchain technology by providing an in-depth examination of its application in a novel blockchain-based card game, centered around renewable energy and sustainable resource management. This paper introduces a serious game that uses blockchain to enhance user interaction, ownership, and gameplay, demonstrating the technology’s potential to revolutionize the gaming industry. Notable aspects of the game, such as ownership of virtual assets, transparent transaction histories, trustless game mechanics, user-driven content creation, gasless transactions, and mechanisms for in-game asset trading and cross-platform asset reuse are analyzed. The paper discusses how these features, not only provide a richer gaming experience but also serve as effective tools for raising awareness about sustainable energy and resource management, thereby bridging the gap between entertainment and education. The case study offers valuable insights into how blockchain can create dynamic, secure, and participatory virtual environments, shifting the paradigm of traditional online gaming.
A Fast-Transient Radiation-Tolerant LDO-cum-Latching Current Limiter

The low-dropout regulator (LDO) and the latching current limiter (LCL) are two important constituent components of the power management system in satellites, including for the impending 6G satellite communications. In this article, we present a fast-transient radiation-tolerant LDO-cum-LCL realized in CMOS (vis-à-vis III/V or BiCMOS exotic processes). The LCL therein detects load current anomalies, thereby protecting the load against current anomalies (when the load suffers from single-event-latch-up, a radiation effect). The fast-transient response is realized by our proposed triple-feedforward-path technique that is efficacious over wide range of load currents (up to 3A) and off-chip capacitors (100 to 880 μF). The LDO-cum-LCL is monolithically realized in a 130 nm CMOS process. The dropout voltage is 210 mV at the full load, and the overshoot and undershoot are 14.2 and 11.8 mV, respectively, at fast 3A load transitions. The load regulation is 0.15 mV/A while the power supply rejection is −52.3 dB@100 kHz. These parameters of the LDO-cum-LCL are very competitive when benchmarked against reported LDOs, albeit the reported LDOs not featuring radiation tolerance.
Antibacterial Activity of Honey Bee Extract against Antibiotic Resistant Bacteria Isolated from Human Infections

Bacterial resistance to antibiotics drugs in a continuous development due to the wrong and excessive use of antibiotics, a malty-drug resistant bacteria became a real danger so there is a necessity to search for alternatives strategies to improve the quality of antibiotics or find alternative materials, in recent years, numerous studies confirm various bioactivities of natural products among the antibacterial activity. The aim of this study was to investigate the ability of homogenous whole bee extract of Apis mellifera to overcome microbial resistance to antibiotics as natural antimicrobial agent besides its activity as a complementary to increase the quality, potency and the ability of the antibiotic against resistance bacteria has been investigated. Whole bee extract has been tested on multi drug resistant bacteria isolates from different kind of human infections separately as antimicrobial agent alone beside using by mixing with the tested antibiotics agents that have been used in the study. The results of this study indicate a significant effect of antimicrobial activity by homogenous whole bee extract against the isolate Pseudomonas aeruginosa and Klebsiella pneumonia then which bacterial growth inhibition observed in isolates beside the significant antimicrobial effects of the bee extract on the bacterial isolates some complementary effects with the resistance antibiotics in which homogenous bee extract indicate complementary effect for most types of tested antibiotics been observed in that case bee extract could have antimicrobial effects on resistant bacteria to antibiotics and improving the quality and ability of the resistance antibiotics to be more significant.
Tionghoa and Environmental Conservation: Between Confucianism and Materialism

The Bangka Tionghoa are a group of Tionghoa ethnic descendants who were originally brought to Bangka Island to work as tin miners. The initial arrival of this ethnic group was devoted to increasing tin production on Bangka Island. This study aims to examine the relationship between ethnic Tionghoa and efforts to preserve the environment on Bangka Island. The research method used is a qualitative method with an intrinsic case study design. The number of informants in this study amounted to seven, with the technique of selecting informants by purposive sampling. Data analysis was carried out using the Miles Huberman technique, which included data collection, presentation, and interpretation, as well as drawing conclusions. The perspective used is the choice of rationality put forward by James S. Coleman. Coleman argued that in a social system, individuals play an important role in interventions to create social change. There are two main elements in Coleman’s ideas: actors and resources. The results of the study show that the Bangka Tionghoa ethnic group’s efforts to preserve the environment are based on a rational choice to protect natural resources. Resources that will continue to support their economic lives. The choice made by the Bangka Tionghoa ethnic group to preserve the environment was also influenced by the Confucian values passed down from their ancestors. The existence of supporting actors and resources has made the Bangka Tionghoa ethnic group, whose livelihood is mining, participate in efforts to preserve the environment in order to create sustainable economic resources. Keywords: Confucian values, Tionghoa ethnicity, rational choice
Contribution of cadastral information to climate change policy in the Netherlands

In the challenge to cope with climate change, the importance of urban areas is increasingly acknowledged. This article provides an outline of the use of cadastral information, combined with other spatial datasets in support of climate change policy within the context of the Netherlands. The examples of the municipalities Bussum and Apeldoorn are used to explain and discuss the use of cadastral data to support governments in their climate policies. The paper concludes exploring and discussing the possibilities of implementing this strategy outside the Netherlands and to combine data, experiences and ideas internationally
Honesty, Social Presence and Self-Service in Retail

Retail self-service checkouts (SCOs) can benefit consumers and retailers, providing control and autonomy to shoppers independent from staff. Recent research indicates that the lack of presence of staff may provide the opportunity for consumers to behave dishonestly. This study examined whether a social presence in the form of visual, humanlike SCO interface agents had an effect on dishonest user behaviour. Using a simulated SCO scenario, participants experienced various dilemmas in which they could financially benefit themselves undeservedly. We hypothesized that a humanlike social presence integrated within the checkout screen would receive more attention and result in fewer instances of dishonesty compared to a less humanlike agent. Our hypotheses were partially supported by the results. We conclude that companies adopting self-service technology may consider the implementation of social presence to support ethical consumer behaviour, but that more research is required to explore the mixed findings in the current study. A method by Vohs and Schooler (2008) was adapted for investigating dishonesty. Social presence is proposed as a mediator for dishonest behaviour. There is scope for social presence to influence user behaviour in a world that increasingly relies on self-service transactions. The effectiveness of measures of dishonesty needs to be researched further.
Multi-purpose greenways and nationwide trails networks: An examination of the Trans Canada Trail and the Sendero de Chile

Greenways and trails have emerged in recent decades as a mechanism to facilitate access for increasingly urban-based societies to nature and its related services. Among the most ambitious of these initiatives are nationwide, interconnected networks of multi-use, multi-purpose greenways and trails, clustered under a single national project idea/vision, such as the Trans Canada Trail (TCT) in Canada and Sendero de Chile (SDC) in Chile. Unfortunately, limited research has been conducted to document the development of these national scale initiatives or glean lessons from their experiences. This thesis contributes to this knowledge gap by analysing these two national scale initiatives. Using document analysis and interviews, the evolution of the TCT and SDC networks is documented over time, emphasizing similarities and differences between them as well as identifying challenges and opportunities related to their implementation. Both initiatives have faced significant challenges in reaching their connection goals but have availed of opportunities, such as different strategies of multi-level and multi-stakeholder collaboration and partnership to advance their agendas. A virtuous cycle is recognized in relation to the positive feedback generated by sustained network expansion over time. It is hoped that the insights offered from this thesis may offer guidance to inform the development of similar projects elsewhere, particularly in less developed countries.
Pedestrian Crossing Prediction With Pathwise Feature Fusion and Stacked Gate Recurrent Unit

Real-time pedestrian crossing prediction is an essential prerequisite for automated driving systems, especially for urban driving. Vision-based deep neural network models have been investigated to solve the problem. However, certain challenges still need to be addressed, such as the optimal strategy for fusing different features from heterogeneous sensors. In this letter, a novel network architecture is proposed to fuse different spatial and temporal features for pedestrian crossing prediction. The network is divided into the vision and nonvision paths for corresponding information extraction. Meanwhile, we introduce the pathwise fusion block to exchange information between different paths for feature reuse. With the help of attention mechanisms and a stacked gated recurrent neural network, vision and nonvision features are fused in an optimal way. The effectiveness of the proposed method is evaluated on the PIE dataset, it outperforms the state-of-the-art benchmarks in terms of accuracy and precision.
Controller Design for Air Conditioner of a Vehicle with Three Control Inputs Using Model Predictive Control

Fuel consumption optimization is a critical field of research within the automotive industry to meet consumer expectations and regulatory requirements. A reduction in fuel consumption can be achieved by reducing the energy consumed by the vehicle. Several subsystems contribute to the overall energy consumption of the vehicle, including the air conditioning (A/C) system. The loads within the A/C system are mainly contributed by the compressor, condenser fan, and underhood aerodynamic drag, which are the components targeted for overall vehicle energy use reduction in this paper. This paper explores a new avenue for A/C system control by considering the power consumption due to vehicle drag (regulated by the condenser fan and active grille shutters (AGS)) to reduce the energy consumption of the A/C system and improve the overall vehicle fuel economy. The control approach used in this paper is model predictive control (MPC). The controller is designed in Simulink, where the compressor clutch signal, condenser fan speed, and AGS open-fraction are inputs. The controller is connected to a high-fidelity vehicle model in Gamma Technologies (GT)-Suite (which is treated as the real physical vehicle) to form a software-in-the-loop simulation environment, where the controller sends actuator inputs to GT-Suite and the vehicle response is sent back to the controller in Simulink. Quadratic programming is used to solve the MPC optimization problem and determine the optimal input trajectory at each time step. The results indicate that using MPC to control the compressor clutch, condenser fan, and AGS can provide a 37.6% reduction in the overall A/C system energy consumption and a 32.7% reduction in the error for the air temperature reference tracking compared to the conventional baseline proportional integral derivative control present in the GT-Suite model.
The Open Journal of Occupational Therapy The Open Journal of Occupational Therapy

Abstract Background:: There is limited literature regarding therapists’ selection of thermoplastic material since the 1990s and less is known about the challenges of custom orthotic fabrication. Methods:: A cross-sectional survey was designed and distributed to members of the American Society of Hand Therapists in August 2021. The survey included closed-ended questions with option for free-text comments. Descriptive statistics and content analysis was used to analyze categorical data and free-text comments, respectively. Results:: The responses of 333 therapists were included in the study. Drapability, thickness, and rigidity were the main properties the therapists considered when selecting thermoplastic material (82.9%; 75.7% and 64.9%, respectively). The free-text analysis revealed thermoplastic material selection to be contextual. Occupation of client, activity level, size of body part, climate, purpose of orthoses (mobilize or immobilize), and comorbidities were factors considered when selecting material. Barriers to custom orthotic fabrication were experienced by 79.9% of the therapists. Barriers related to insurance were experienced the most (46.2%) followed by client factors, (27.9%) and administrative factors (18.3%). Limited reimbursement, high patient cost, lack of materials, and time and client compliance were the cited challenges. Conclusions:: Thermoplastic material selection is contextual. Therapists report custom orthotic fabrication to be challenging in the current health care environment.
IFRS implementation challenges in Southern Colombia’s agricultural sector

In the agricultural sector of Huila, particularly among SMEs in coffee, cocoa, fish, and rice subsectors, the transition to the International Financial Reporting Standards (IFRS) is paramount yet challenging. This research aims to offer management guidelines to support Huila’s agricultural SMEs in their IFRS transition, underpinning the region’s aspirations for financial standardization and economic advancement. Utilizing a mixed-methods managerial approach, data was gathered from 13 representative companies using validated questionnaires, interviews, and analyzed with SPSS and ATLAS.ti. Results indicate that while there is evident progress in IFRS adoption, 12 out of 13 firms adopted IFRS, with rice leading in terms of adoption duration. While 77% found IFRS useful for financial statements, half reported insufficient staff training. The transition highlighted challenges, including asset recognition and valuation, and emphasized enhancing institutional support and IFRS training. Interviews revealed managerial commitment and expertise as significant factors. Recommendations for successful implementation include leadership involvement, continuous professional development, anticipating costs, clear accounting policies, and meticulous record-keeping. The study concludes that adopting IFRS enhances financial reporting quality, urging entities to converge their reporting practices without hesitation for improved comparability, relevance, and reliability in their financial disclosures.