Miracle-dz/UniFAR-FTUs huggingface dataset:
Secure mine water use with compliant discharge

Water is of great need by a broad range of mining activities, and is becoming more valuable due to growing demand and increasing scarcity. Following years of dry conditions, most mines in Queensland, Australia have been designed to highly reuse water and catch as much runoff as possible. However, during significant rainfall periods, unregulated mine water discharge may result in significant external environmental impacts, which lead mine water managers to reconsider the water management strategies. In particular, a careful balance needs to be struck between securing a 'fit-for-purpose' water use during water limited periods, on one hand, and reducing the risk of unregulated discharges from mine sites when water is in excess, on the other. A solution suggesting that actively regulated discharge can be used to reduce the risk of occurrence of unregulated discharge has been placed at the disposal of mine water managers. The study aims to examine the feasibility of the solution. To do this, we used a system model called SMART to produce the trade-offs between securing water for mine production and minimising unregulated discharge. The model combines a simulator of mine water use and a multi-objective optimisation scheme. We applied the system model into a coal mine in the Fitzroy Basin, Queensland, Australia. The results demonstrate that unregulated discharges can be significantly reduced in the case study mine site. The successful use of mine water management strategies, such as formulating discharge regulations, requires a tool capable of providing scientific advice. Models similar to the one used in this paper can assist mine water managers in finding more balanced strategies under multiple management objectives.
Amelioration of Ovalbumin-Induced Allergic Asthma by Juglans regia via Downregulation of Inflammatory Cytokines and Upregulation of Aquaporin-1 and Aquaporin-5 in Mice

Juglans regia (J. regia) has been used traditionally to treat cough and asthma. The present study evaluates the immunomodulatory and anti-inflammatory potential of J. regia against ovalbumin (OVA)-induced allergic asthma. Intraperitoneal sensitization proceeded by intranasal challenge with OVA was used to induce allergic asthma. BALB/c mice were treated with methanol, n-hexane, and ethyl acetate extracts of J. regia and methylprednisolone one week after 2nd sensitization with OVA and continued for 7 days. mRNA expression levels of IL-4, IL-5, IL-13, AQP-1, AQP-5 TNF-α, TGF-β, and NF-kB were determined using reverse transcription polymerase chain reaction. Hematoxylin and eosin, and periodic acidic-Schiff stains were used for histopathological studies of lung tissues. The data presented all three extracts of J. regia significantly ameliorated airway inflammation by reducing expression levels of IL-4, IL-5, and IL-13 and TNF-α in OVA-treated mice. The suppression of goblet cells hyperplasia and inflammatory cells infiltration by J. regia involved low TGF-β and NF-kB levels. Pretreatment with J. regia also increased the AQP-1 and AQP-5 expression levels in mice treated with OVA. This study supported the traditional use of J. regia and proposed that J. regia ameliorated allergic asthma by suppression of proinflammatory cytokines and elevation of AQP-1 and AQP-5 expression levels.
Anticipatory Mourning and Narrative Meaning-Making in the Younger Breast Cancer Experience: An Application of the Meaning of Loss Codebook

Breast cancer (BC) in women under 50 is a potentially traumatic experience that can upset a woman’s life during a crucial phase of her lifespan. Anticipatory mourning linked to the diagnosis of BC can produce a series of inevitable losses similar to those of the bereaved. Narration can be one tool to construct meaning, to grow through the experience, and reconfigure time perspectives during and after the illness. The aim of this study was to apply the Meaning of Loss Codebook (MLC) to the narrative context of young women with BC. An ad hoc narrative interview was administered to 17 women at four times during the first year of treatment. A thematic analysis was performed using the MLC, adopting a bottom-up and top-down methodology. The results highlight the MLC’s usefulness in capturing the experiences of the women, allowing for a greater appreciation of the nuances of the meanings embodied in their narratives. The thematic categories grounded in the MLC cover the whole experience of BC during the first year of treatment, attesting to the possibility of extending the use of the MLC to observe the longitudinal elaboration of the psychic experience of BC in addition to its established validity in the context of bereavement and loss.
PENINGKATAN KEMAMPUAN INTERAKSI SOSIAL (KOGNITIF, AFEKTIF DAN PERILAKU) MELALUI PENERAPAN TERAPI PERILAKU KOGNITIF DI RSJ DR AMINO GONDOHUTOMO SEMARANG

Isolasi sosial merupakan suatu keadaan perubahan yang dialami klien skizofrenia. Suatu pengalaman menyendiri dari seseorang dan perasaan segan terhadap orang lain sebagai sesuatu yang negatif. Penelitian ini bertujuan untuk mengetahui pengaruh pemberian terapi perilaku kognitif terhadap kemampuan klien isolasi sosial dalam melakukan interaksi di ruang rawat inap di RSJ Dr Amino Gondohutomo Semarang. Desain penelitian quasi experimental pre-post test with without control. Sampel berjumlah 33 orang dengan tehnik pengambilan sampel total sampling. Hasil penelitian menunjukkan ada pengaruh terapi perilaku kognitif terhadap kemampuan interaksi (kognitif, afektif dan perilaku) pada klien isolasi sosial (p value < 0.05). Ada peningkatan kemampuan interaksi sosial (kognitif, afektif dan perilaku) setelah dilakukan terapi perilaku kognitif. Terapi perilaku kognitif direkomendasikan diterapkan sebagai terapi keperawatan dalam merawat klien dengan isolasi sosial dengan penurunan kemampuan interaksi sosial.
Feasibility and Acceptability of a Mobile Application to Monitor Opioid Use and Promote Behavior Modification Following Cesarean Section

Opioid misuse and associated negative sequelae, including opioid use disorder and overdose, continue to comprise a public health crisis of epidemic pro-portions. One opportunity for upstream primary prevention of opioid misuse is the management of opioid use during the postoperative period, including following cesarean section. Research shows that most patients who have a cesarean delivery receive a prescription for opioids on discharge, though limited data exist on postoperative opioid use and misuse. Continuous Precision Medicine (CPM) has developed a mobile application that allows patients to track their pain and usage of both opiates and non-steroidal anti-inflammatory (NSAID) medications and includes elements intended to promote behavior modification through psychoeducation and gamification. The aims of this study were to determine logistical and technological feasibility and acceptability of the mobile application by patients and clinicians and to assess preliminary postoperative opioid use and misuse patterns to inform future directions. Participants (N = 9) were women between the ages of 23 and 41 years old who underwent a repeat cesarean section at an inner-city academic hospital and were without a history of self-reported opioid use. Participants re-ceived a tablet loaded with the mobile application and electronic pill packs with the standard postoperative prescription of 14 Roxicodone tablets. On review, 53% of provided to the patient by the provider. Results of this feasibility study suggest that the CPM mobile application is feasible and acceptable for both patients and practitioners and provides traceability for clinicians to make bet-ter-informed decisions regarding patient care. Preliminary data suggest an excess of prescribed narcotics as well as a potential concern for utilization of medication not as prescribed.
Dewey Goes Corporate: Examining the Suitability of Kotter’s Change Management Model for Use in Libraries

Abstract Kotter’s work, Leading Change, has been an outline for corporate change management initiatives since its publication in 1996. However, little research has been done on applying his 8-step model to change management in libraries. This article examines the suitability of Kotter’s steps for use in a library setting and concludes that based on existing literature, it is an appropriate model for library leaders to follow as they implement change at the institution.
The Efficacy of Common Household Cleaning Agents for SARS-CoV-2 Infection Control

The COVID-19 pandemic caused by SARS-CoV-2 is having devastating effects on a global scale. Since common household disinfectants are often used to minimise the risk of infection in the home and work environment, we investigated the ability of some of these products to inactivate the virus. We tested generic brands of vinegar, bleach, and dishwashing detergent, as well as laboratory-grade acetic acid, sodium hypochlorite, and ethanol. Assays were conducted at room temperature (18–20 °C, 40% relative humidity), and two time points were used to reflect a quick wipe (30 s) and a brief soak (5 min). Vinegar, and its active ingredient, acetic acid, were completely ineffective at virus inactivation even when exposed to the virus at 90% v/v (a final concentration equivalent to 3.6% v/v acetic acid). In contrast, ethanol was capable of inactivating the virus at dilutions as low as 40% v/v. Dishwashing detergent effectively rendered SARS-CoV-2 inactive when diluted 100-fold (1% v/v). Bleach was found to be fully effective against SARS-CoV-2 at 0.21 g/L sodium hypochlorite after a 30 s exposure (1/200 dilution of commercial product). Given reports of infectious virus recovered from the surface of frozen packaging, we tested the persistence of infectiousness after multiple freeze-thaw cycles and found no change in infectious SARS-CoV-2 titre after seven freeze-thaw cycles. These results should help inform readers of how to effectively disinfect surfaces and objects that have potentially been contaminated with SARS-CoV-2 using common household chemicals.
Visual Communication Design Using Machine Vision and Digital Media Communication Technology

The dynamic design of graphic language can be seen everywhere in life as the digital media era progresses. Graphic designs, such as product packaging, poster design, book binding design, and logo design, are examples of traditional visual design. The print media is the most important factor. Graphic design that is aided by digital media technology is not limited to print but also includes network media. The teaching research of China’s visual design specialty is still in its early stages, the relevant teaching system reform of various colleges and universities is still being explored, and there is no unified standard in the digital information age. As a result, it is critical to conduct in-depth research using scientific and systematic methods in order to pave the way for the development of a domestic visual design specialty in the information age. Simultaneously, the popularization and development of new media have had a significant impact on traditional printing media, breaking the monotony of traditional visual communication and making modern visual design more vivid and intuitive. Visual perception in psychology is introduced into design thinking in this paper. Apart from its expression in art culture, the concept of space also encompasses the physics concepts of time and space, as well as the scientific research theory of visual perception in psychology, which transcends the perceptual cognition level of space in art design.
Multi-driver ensemble to evaluate the water utility business interruption cost induced by hydrological drought risk scenarios in Brazil

ABSTRACT Climate change and increasing water demand in urban environments necessitate planning water utility companies’ finances. Traditionally, methods to estimate the direct water utility business interruption costs (WUBIC) caused by droughts have not been clearly established. We propose a multi-driver assessment method. We project the water yield using a hydrological model driven by regional climate models under radiative forcing scenarios. We project water demand under stationary and non-stationary conditions to estimate drought severity and duration, which are linked with pricing policies recently adopted by the Sao Paulo Water Utility Company. The results showed water insecurity. The non-stationary trend imposed larger differences in the drought resilience financial gap, suggesting that the uncertainties of WUBIC derived from demand and climate models are greater than those associated with radiative forcing scenarios. As populations increase, proactively controlling demand is recommended to avoid or minimize reactive policy changes during future drought events, repeating recent financial impacts.
Political risk and macroeconomic effect of housing prices in South Africa

Abstract The housing market is one of the key drivers of economic growth and social welfare in South Africa. However, the performance of the market depends on housing prices which are also subjected to changes in various socio-economic and political factors. The main purpose of this study is to determine the effects of inflation (consumer price index), interest rate, rental price and political risk on housing prices. To achieve this objective, the study applies Vector Autoregressive (VAR) model, the Johansen test for cointegration, Vector Error Correction Model (VECM) and Granger causality test on monthly data starting from January 2002 to December 2019. Findings of the study suggest that inflation, interest rate, rental and political risk influence the housing prices in both the long run and short run. Changes in political risk and rental price cause a long-run decline in housing prices while high-interest rates and inflation cause an increase in housing prices. Based on findings, researchers propose stability in the inflation rate, interest rate and political situation as a solution that can assist to improve the housing market and create price stability. Additionally, interest rate reduction can generate growth in housing demand resulting in the country’s economic improvement.
Factors affecting the attitude toward mobile commerce usage among Lebanese consumers: A conceptual Framework.

Mobile commerce is a worldwide innovation. However, in Lebanon, several factors are hindering its development. Therefore, our objective is to find the factors influencing the consumer’s attitude toward the use of mobile commerce and to create a research model reflecting our findings. This research revises the basic theories of technology adoption and studies conducted in m-commerce, e-commerce, and related fields. An exploratory study of deep interviews with 14 consumers and experts was held, and a content analysis by themes was performed to show the consistent variables for our conceptual framework. New derived variables, the situational factor and digital culture tend to moderate the relations between independent and dependent variables. Service availability, self-efficacy and social-influence significantly influence the consumer’s attitude toward the use of m-commerce, while cost is negatively affected. This study has both theoretical and managerial implications, it presents a new research model compared to prior studies in online service technologies, especially in mobile commerce. In addition, results provide online businesses with many trusted recommendations for their strategic plans based on analyzed and accurate data.
Unsupervised Domain Adaptation With Global and Local Graph Neural Networks Under Limited Supervision and Its Application to Disaster Response

Identification and categorization of social media posts generated during disasters are crucial to reduce the suffering of the affected people. However, the lack of labeled data is a significant bottleneck in learning an effective categorization system for a disaster. This motivates us to study the problem as unsupervised domain adaptation (UDA) between a previous disaster with labeled data (source) and a current disaster (target). However, if the amount of labeled data available is limited, it restricts the learning capabilities of the model. To handle this challenge, we use limited labeled data along with abundantly available unlabeled data, generated during a source disaster to propose a novel two-part graph neural network (GNN). The first part extracts domain-agnostic global information by constructing a token-level graph across domains and the second part preserves local instance-level semantics. In our experiments, we show that the proposed method outperforms state-of-the-art techniques by 2.74% weighted F1 score on average on two standard public datasets in the area of disaster management. We also report experimental results for granular actionable multilabel classification datasets in disaster domain for the first time, on which we outperform BERT by 3.00% on average w.r. t. weighted F1. Additionally, we show that our approach can retain performance when minimal labeled data are available.
Caries distribution pattern in primary dentition in children in early childhood from the Warsaw agglomeration

Introduction. The high incidence and level of early childhood caries (ECC) in children aged 3 years in Poland indicate a high risk of developing this disease in younger children. Caries most often develops on the occlusal surfaces of molars. The distribution of caries in primary dentition changes with age. In younger children, the maxillary incisors are most often affected by caries, while in the older ones – molars. There are no current data describing caries distribution in younger children in Poland. Aim. Assessment of caries distribution, taking into account the surface in primary dentition in children in the second and third year of life from the Warsaw agglomeration. Material and methods. This was a cross-sectional study conducted among children aged 12-36 months to assess dental condition for the presence of non-cavitated (d1) and cavitated caries (d2), fillings (f), and missing (m) teeth (t) and surfaces (s) caused by caries. The frequency of ECC and its intensity (d1d2mft and d1d2mfs) were determined. In the statistical analysis, the chi-square test was used to compare the fractions (percentages). Results. A total of 496 children were examined, including 262 (52.8%) boys. S-ECC was recorded in 44.8% of the respondents, d1d2mft and d1d2mfs reached the values of 2.62 ± 3.88 and 4.46 ± 8.42, respectively. Central maxillary incisors (34.2%) and the first molars of both arches (21.0%, including 23.5% for the maxilla and 18.6% for the mandible) were most commonly affected by carious lesions. Carious lesions were most often found on the labial surfaces of the maxillary incisors (19.1%) and occlusal first molars (19.4%). Conclusions. Primary teeth caries in the early childhood period is characterized by a rapid transformation of non-cavitated lesions into cavitated ones and subsequent eruption of teeth. Carious lesions most are most often found on the labial surfaces of the central incisors of the maxilla and occlusal surfaces of the first molars.
Understanding Campus Space and Whiteness as Ontological Expansiveness

This paper discusses findings of a quantitative, causal-comparative study that sought to determine if a statistically significant difference existed between a rural predominantly White institution and an urban minority serving institution in terms of their White American male students’ perceptions of Whiteness as ontological expansiveness. As the demographic makeup of the United States of America continues to become more diverse, so too are the colleges and universities that support students of all backgrounds. Given this shift, and understanding the need for social justice awareness, it is important to grasp how White students understand and take part in this shift. The study found low effect sizes and statistically significant differences between the two institutions as assessed by the study instrument, finding minority serving institution’s White American male students are slightly more accepting of their White racial identity and have a slightly higher affinity for social equality. Higher education institutions can utilize this data to assist in improving campus-based student activism as a rejection of the assumptions of Whiteness within the ivory tower. Thus, there is a pressing need for critical interrogations of Whiteness in higher education.
Biomimetic Mineralized Hydroxyapatite Nanofiber-Incorporated Methacrylated Gelatin Hydrogel with Improved Mechanical and Osteoinductive Performances for Bone Regeneration

Purpose Methacrylic anhydride-modified gelatin (GelMA) hydrogels exhibit many beneficial biological features and are widely studied for bone tissue regeneration. However, deficiencies in the mechanical strength, osteogenic factors and mineral ions limit their application in bone defect regeneration. Incorporation of inorganic fillers into GelMA to improve its mechanical properties and bone regenerative ability has been one of the research hotspots. Methods In this work, hydroxyapatite nanofibers (HANFs) were prepared and mineralized in a simulated body fluid to make their components and structure more similar to those of natural bone apatite, and then different amounts of mineralized HANFs (m-HANFs) were incorporated into the GelMA hydrogel to form m-HANFs/GelMA composite hydrogels. The physicochemical properties, biocompatibility and bone regenerative ability of m-HANFs/GelMA were determined in vitro and in vivo. Results The results indicated that m-HANFs with high aspect ratio presented rough and porous surfaces coated with bone-like apatite crystals. The incorporation of biomimetic m-HANFs improved the biocompatibility, mechanical, swelling, degradation and bone regenerative performances of GelMA. However, the improvement in the performance of the composite hydrogel did not continuously increase as the amount of added m-HANFs increased, and the 15m-HANFs/GelMA group exhibited the best swelling and degradation performances and the best bone repair effect in vivo among all the groups. Conclusion The biomimetic m-HANFs/GelMA composite hydrogel can provide a novel option for bone tissue engineering in the future; however, it needs further investigations to optimize the proportions of m-HANFs and GelMA for improving the bone repair effect.
Measuring GPS Signals Indoors

Precise measurement of GPS signals inside buildings is made possible by a combination of high resolution analog to digital conversion, a separate reference channel from an external antenna, and long coherent averaging times. We simultaneously downconvert the signals from both outdoor and indoor using identical downconverters with the local oscillators phase locked. These signals are then digitized at 25.6 MHz with 12 bits in records as long as 160 milliseconds, and are stored in RAM. The outdoor signal is then processed via FFT-based cross correlation calculations in MATLAB . These results are used to account for Doppler shift and remove navigational data bits from the indoor signal. After calibrating relative cable delays and path gains, we make precise measurements of the relative signal strengths and times of arrival (TOAs) of the indoor and outdoor signals. We detect indoor signals as much as 60 dB below their signal levels outdoors and can consistently find five or more satellites at any given time. Due to short-delay multipath contamination of the indoor signal, the TOAs contain an average error on the order of 200 ns, which translates to a pseudorange error of nearly 60 meters. In an attempt to remove these errors, TOAs were recalculated by measuring the slope of the leading edge of the cross correlation function. No significant improvement was obtained by this alternate method.