Miracle-dz/UniFAR-FTUs huggingface dataset:
New Species, Combinations, and Typifications in Neotropical Malpighiaceae

Abstract. Preparing the Malpighiaceae treatment for an upcoming volume of the Flora Mesoamericana has revealed a number of new species, new combinations, and typifications of taxa from different genera of Neotropical Malpighiaceae requiring publication. Nine new species are proposed in this paper from the Mesoamerica flora area: three Bunchosia Kunth (B. bifurcata A. Pool, B. chiapensis A. Pool, and B. heterotricha A. Pool), one Carolus W. R. Anderson (C. yucatanensis A. Pool), one Glicophyllum R. F. Almeida (G. mortonianum A. Pool), two Malpighia L. (M. inclinata A. Pool and M. verrucifolia A. Pool), one Psychopterys W. R. Anderson & S. Corso (P. nicaraguensis A. Pool), and one Tetrapterys Cav. (T. argyrophylla A. Pool). A lectotype and epitype are selected for Malpighia polystachia Andrews [≡ Bunchosia polystachia (Andrews) DC. ], lectotypes for Heteropterys beecheyana A. Juss. var. beecheyana f. glabriuscula Nied. [= Heteropterys brachiata (L.) DC. ] and Tritomopterys albida (Schltdl. & Cham.) Nied. var. subtomentosa Nied. [≡ Gaudichaudia albida Schltdl. & Cham. var. subtomentosa (Nied.) Nied. ], and a neotype for Gaudichaudia chamorrii Ram. Goyena [= G. albida var. albida]. Three generic transfers are proposed: Bunchosia squarrosa Griseb. [≡ Tetrapterys squarrosa (Griseb.) Griseb. ] to Glicophyllum as G. squarrosum (Griseb.) A. Pool, Banisteria sanguinea Rusby to Heteropterys Kunth as H. sanguinea (Rusby) A. Pool, and Mascagnia macrobracteata Lundell to Tetrapterys, as T. macrobracteata (Lundell) A. Pool. Finally, one combination is made to elevate Heteropterys laurifolia (L.) A. Juss. var. brevibracteolata Cuatrec. & Croat to the rank of species as H. brevibracteolata (Cuatrec. & Croat) A. Pool.
PENGARUH KENYAMANAN DI TEMPAT KERJA DAN KEPUASAN KERJA TERHADAP PERPUTARAN KARYAWAN DENGAN KETERIKATAN KONSTITUEN SEBAGAI VARIABEL MEDIASI

Tujuan penelitian ini untuk menguji apakah kenyamanan di tempat kerja dan kepuasan kerja mampu mempengaruhi perputaran karyawan. Dan apakah keterikatan konstituen mampu menjadi variabel mediasi dari pengaruh kenyamanan di tempat kerja dan kepuasan kerja terhadap perputaran karyawan. Metode penelitian menggunakan jenis penelitian kuantitatif. Sampel yang diteliti berjumlah 40 pekerja hotel khususnya hotel di Jakarta Utara. Analisis data menggunakan uji analisis regresi linier berganda. Hasil penelitian menunjukkan kenyamanan di tempat kerja secara parsial berpengaruh positif terhadap perputaran karyawan, kemudian kepuasan kerja dan keterikatan konstituen tidak berpengaruh terhadap perputaran karyawan dan keterikatan konstituen tidak mampu memediasi pengaruh kenyamanan di tempat kerja dan kepuasan kerja dan terhadap perputaran karyawan.
Target genes utilized for drought tolerance enhancement in maize

Among the most widely grown cereal crops is maize, which is a staple food for millions of people worldwide. It is primarily used for human consumption in various forms, animal feed, and industrial applications. In many countries like Mexico, Africa, and South America, it is the main source of calories in their daily diet, making it crucial for food security. Many nations worldwide are more at risk of drought as global warming continues to accelerate. One of the major hurdles to food production in the twenty-first century and a serious threat to our present and future food security is a water crisis. Crop failure due to water scarcity can put millions of lives at risk. Along with traditional breeding, transgenic approaches are an essential tool in modern plant breeding. They allow the introduction of beneficial genes from other organisms or within the same organism to improve plant characteristics. This review focuses on specific genes that are stably expressed and tested for drought tolerance in maize. Several genes have been identified as potential targets for improving drought tolerance in maize. Although mechanisms of target genes overlap to some extent, we attempted to divide the selected research articles according to the mechanism of the targeted gene into categories and reviewed them.
Xiphactinus audax Leidy 1870 from the Puskwaskau Formation (Santonian to Campanian) of northwestern Alberta, Canada and the distribution of Xiphactinus in North America

Xiphactinus is one of the largest teleost fish known from the Late Cretaceous of North America, and has been found across much of the Western Interior Basin. Despite extensive Late Cretaceous marine deposits occurring in Alberta, there has previously been only two possible records of Xiphactinus from the province, neither of which has been diagnosable to the species level. We describe here a portion of the lower jaws, including teeth, of Xiphactinus audax from northeast of Grande Prairie, Alberta. The fossil has large, thecodont teeth that are circular in cross section and lack any carinae, and are highly variable in their overall size. This fossil is the first diagnostic material of X . a udax from Alberta, and extends the range of the species by over a thousand kilometres. During the Late Cretaceous, the area the fossil was found in was near the Arctic Circle, and represents an important datapoint within the poorly known, northern portion of the Western Interior Basin.
House dust mites, humidity of room air and flooring materials

House dust mites are known to cause airway allergy. Humidity in the immediate environment of the mites is believed to be decisive for their prevalence. The purpose of the present study was to analyze the impact of microenvironment on the prevalence of mites based data from a cross sectional study in Danish apartments. The room parameters air change rate, temperature and relative humidity was measured in apartments when outside temperatures were in the range –5 to 10 C. Mites were counted under microscope in surface dust sampled from beds and from bedroom floors. In average more mites were found on the floors than in the beds. Far more mites were found on carpeted floors. No relation between prevalence on floor and room air parameters was found. The prevalence in beds correlated with absolute humidity in room air. Temperature and humidity profiles of typical beds and floors can in part explain these results. INDEX TERMS House dust mites, Relative humidity, Absolute humidity, Bed, Flooring material INTRODUCTION High humidity in homes has been associated with increased prevalence of symptoms and serious diseases like asthma among occupants in particular among children. The increased proliferation of house dust mites in moist rooms may partly explain this. Increased moisture levels has been shown to increase the prevalence of both fungi and house dust mites. The prevalence of sensitization to house dust mites are generally believed to be between 9 and 16%. (Linneberg et al., 2000) have demonstrated an increase in sensitization using specific IgE measurements to house dust mites (dermatophagoides pteronyssinus). They found 5.9% sensitized in 1990 and 11.8% in 1998 in a cross-sectional study in the Copenhagen area (P<0.07 for increase). House dust mites are considered to be the most important source of inhalation allergens in homes. House dust mites require certain temperatures and high humidity in their microenvironment (Cunningham, 1999). They feed on the human skin scales found abundantly in most homes and thrive from elevated moisture contents. It is difficult to remove mites from protected environments such as mattresses, wall-to-wall carpets or textured upholstered furniture. Normal cleaning procedures are more likely to remove mites from smooth surfaces. The mites move around and in infested rooms they are found on most surfaces (Korsgaard, 1983). House dust mites generally have the temperature of their surroundings and absorb vital moisture from the air around them. This process is essential for the survival of the mites. The Contact author email: LBG@byogbyg.dk Proceedings: Indoor Air 2002
Vision-Based Image Processing of Digitized Cadastral Maps

This paper presents an automatic method for processing digitized images of cadastral maps. The method includes two major algorithms: a segmentation and a Raster-to-Vector conversion. Those algorithms use a simple data-list structure for recording data created during single-pass, row-majority scanning and line tracing. The segmentation algorithm obtains the positions and sizes of symbols and characters, in addition to completing map segmentation and proving useful for pattern recognition. The Raster-to-Vector conversion alprithm obtains topological information necessary to relate cadastral map spatial data to line start points, midpoints, intersection points, and termination points. It consists of four integrated sub-algorithms that remove noise, unify run-length coordinates, and perform synchronous line approximations and logical linkage of line breaks. Straight, angled, and curved lines can then be completely reconstructed for display. Also presented are six indices that verify algorithm and experimental results.
A Systematic Literature Review on Cost Forecasting Techniques for Improving Estimates Accuracy in Construction Projects

In construction, one measure of accuracy is the deviation obtained between estimate at completion and the most responsive tender figure. While different forms of forecasting techniques have been used, the era of artificial intelligence has also availed the industry the tools to improve construction cost estimation. However only a few studies address accuracy within the defined context of accuracy. The goal of this systematic literature review is to map out knowledge territory, highlight means of improving accuracy within the cost forecasting domain. From a total of 133 articles retrieved from EBSCOhost, Google Scholar, Scopus databases and ASCE library, 93 articles published between 1976 and 2022 were considered for the study. The review reports the contributions of extant literature which have so far focused on construction forecasting tools and techniques deployed to improve accuracy. A key highlight of the findings is that the reference to accuracy is given to models’ ability to manipulate data (independent variables) and not in any sense comparing a final figure to one forecasted. This gap highlighted is the goal of an ongoing study aimed at examining current efforts at improving accuracy and thus developing an effective cost forecasting model using improved techniques. Through the analysis extant literature on cost forecasting, this review concludes that a robust big data analytics approach is needed to manage the shortcoming of existing techniques while taking into cognizance the series of events that are correlated and influence cost across the project life cycle. The review ends with a recommendation to consider a shift away from over-reliance on model development to training and operationalising models to adequately capture factors that influence cost overrun.
Loneliness and Frailty Among Middle-Aged and Aging Sexual Minority Men Living With or Without HIV: A Longitudinal Cross-Lagged Panel Analysis

Abstract Background and Objectives Loneliness is associated with frailty among older adults (60+), and there is evidence suggesting that this association may be bidirectional. However, there is limited evidence of this relationship over time among middle-aged and aging sexual minority men. We explored the bidirectional relationship between loneliness and frailty over 2 years among sexual minority men living with or without human immunodeficiency virus (HIV) from the Healthy Aging substudy of the Multicenter AIDS Cohort Study. Research Design and Methods We used data from 1 118 men (561 living with HIV; 557 living without HIV) aged 40 years or older with measurement of frailty or loneliness at Times 1 (September 2016 to March 2017) and 2 (September 2018 to March 2019). Descriptive statistics were generated. We used autoregressive cross-lagged panel analysis to examine the bidirectional association between frailty and loneliness at both time points while adjusting for time-stable and time-dependent covariates at Time 1. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were generated. Results The estimated prevalence of loneliness at both time points was 35.5%. The estimated prevalence of frailty at Times 1 and 2 were 7.8% and 12.1%, respectively. Participants reporting loneliness at Time 1 had greater odds of being frail at Time 2 (aOR = 2.14; 95% CI: 1.23–3.73). Frailty at Time 1 was not associated with loneliness at Time 2 (aOR = 1.00; 95% CI: .44–2.25). The autoregressive effects of frailty (aOR = 23.43; 95% CI: 11.94–46) and loneliness (aOR = 13.94; 95% CI: 9.42–20.61) were large. Discussion and Implications Men who felt lonely had higher odds of being frail 2 years later while the reciprocal association was not shown. This suggests that loneliness preceded frailty and not the other way around. Early and frequent assessments of loneliness may present opportunities for interventions that minimize the risk of frailty among sexual minority men living with and without HIV.
Association of Body Dysmorphic-Induced Anabolic-Androgenic Steroid Use With Mental Health Outcomes: A Systematic Review.

Objective: To explore the relationship between body dysmorphic disorder (BDD), anabolic-androgenic steroid use (AAS) use, and mental health outcomes and to identify potential interventions and treatments that may help mitigate these detrimental effects. Data Sources: PubMed, Scopus, CINAHL, Embase, and PsycINFO were searched from 1992 to 2022 with no language limits. Search terms included "AAS" AND "mental health outcomes" AND "body dysmorphia" and were expanded in PubMed to include "anabolic steroids induced depression," "anabolic steroids induced depression in athletes," "steroids," "mental health," and "performance-enhancing drugs. " Study Selection: Forty-one articles were identified, and 37 remained after duplicates were removed. After full-text appraisal, 33 articles were included in the final review. Data Extraction: Two reviewers independently screened studies for inclusion criteria, extracted pertinent data, and assessed the quality of evidence. Results: Bodybuilders and fitness athletes may be more susceptible to developing muscle dysmorphia, having disordered eating habits, and using performance-enhancing drugs like AAS. The COVID-19 pandemic increased reliance on social media and online interactions, which was previously associated with disordered eating patterns and negative body image. Being a member of a sexual minority may increase one's risk of developing muscle dysmorphia and other types of BDD, as these individuals may experience additional stressors and difficulties due to stigma and discrimination, which may worsen one's sense of self and body image. Conclusion: The development and evaluation of interventions such as cognitive-behavioral therapy, mindfulness-based interventions, and peer support programs, should be prioritized to deter AAS use in people at risk. Prim Care Companion CNS Disord 2023;25(5):23r03532. Author affiliations are listed at the end of this article.
Prediction of Anemia using various Ensemble Learning and Boosting Techniques

INTRODUCTION: Anemia is a disease of great concern. It is mainly seen in people who are deficient in several vitamins like B12 and those who are deficient in iron. Neglecting the situation and leaving it untreated could lead to severe consequences in the future. Hence it is of great importance to predict Anemia in an individual and treat it in the optimum stage. OBJECTIVES: In this paper, machine learning was used for the prediction of Anemia. METHODS: The dataset used for this was formed by combining different datasets from Kaggle. The accuracy of various machine learning techniques was evaluated to find out the best one. Along with the supervised learning algorithms like Random Forest, SVM, Naive Bayes etc., Linear Discriminant Analysis, Quadratic Discriminant Analysis and ensemble learning methods were also performed. RESULTS: Upon evaluation, among the best performers, the execution time was also taken into consideration to determine which classifier works well. Among all the algorithms used, XGboost worked the best with an optimum execution time. CONCLUSION: The conclusion is that for the data used in the work, XGboost results as the best model.
Forecast of Land Desertification in Northern Jilin Province of China——Taking Zhenlai County as Example

Ecological environment in the western Jilin Province is deteriorating, and land desertification is threatening the grain base in the middle part of the Songnen Plain. Zhenlai County is one of the most typical desertification regions in western Jilin Province. Based on GIS and using Landsat TM images of 1988 and 2000, the land use and desertification land distribution maps of 1988 and 2000 are compiled. By the overlay analysis in Arcinfo and Arcview, the desertification land was removed from the other land use types and regarded as an independent land use type; land use type (including desertification land) maps of 1988 and 2000 were finished. These two maps were further overlain to get the transition state of the land use types, and then the transition probability matrix of different land use types from 1988 to 2000 was calculated. On the basis of Markov model, the change trend of the desertification land was forecast, the results showed that if no effective measures are taken to prevent land desertification, the desertification in Zhenlai County will further develop, and invade and occupy the grass land, the arable land and the forest land step by step. In the mean time, the results showed that most of land desertification area was originated from the arable land and the grass land; the land desertification area will go up day by day in the future, it will occupy 28.39% in 2010, 32.49% in 2050, and 46.6% when in a balanced stage. The result also indicates that the Markov forecasting model has highly practicing value.
The need for specificity in uncertainty communication is further supported: Preliminary evidence from eye tracking

Automation transparency is understudied in environments with varied automation reliability. We previously found uncertainty communication, a form of automation transparency, led to nuanced and unintentional performance outcomes in this type of environment. To better understand these outcomes, participants’ monitoring policies of automation were studied via a preliminary eye tracking analysis. In a simulated multi-UAV mission, 272 Naval Aviation trainees monitored three automated systems that were identical in function, but differed in reliability. Halfway through the experiment, uncertainty communication about the least reliable system was delivered as a chat message. Performance improvements coincided with a monitoring policy that had larger dwell times overall and one where the proportion of visual attention towards the automated system mentioned in the uncertainty communication increased upon its delivery. Overall, examining participant monitoring policies helped explain other performance outcomes and bolstered our previous conclusion: effective uncertainty communication requires maximum specificity.
Weather Radar Observations and Numerical Weather Prediction, Experiments

Weather radar observations provide one of the most spatially and temporarily complete high resolution datasets describing atmospheric state at sub-kilometre resolutions. New Zealand’s national radar network infers both rainfall intensity and wind speed by measuring the reflectivity and Doppler velocity signals of falling rain. There is significant interest amongst the forecasting community in making optimal use of such weather radar observations however to date little progress had been made in New Zealand. The process of including radar observations in weather prediction models through a process known as data assimilation is complicated by their complex and non-trivial relationship with the model variables. This thesis makes progress in the better specification of a Doppler velocity operator for the open source Weather Research and Forecasting data assimilation system (WRFDA). The operator better accounts for the physical properties of the radar system and is demonstrated to improve the data assimilation process in a case study with a large number of members. Radar Doppler velocity assimilation is also tested in two higher resolution studies. The first is for the passage of tropical cyclone Wilma in 2011 where improvements in the vortex structure and track forecasts are realised. Secondly a pair of experiments is carried out to test a high resolution ensemble forecasting system for a small catchment and the resulting rainfall predictions are verified against observations from the Atmospheric Physics Group’s high resolution radar.
Advancing Dentistry through Bioprinting: Personalization of Oral Tissues

Despite significant advancements in dental tissue restoration and the use of prostheses for addressing tooth loss, the prevailing clinical approaches remain somewhat inadequate for replicating native dental tissue characteristics. The emergence of three-dimensional (3D) bioprinting offers a promising innovation within the fields of regenerative medicine and tissue engineering. This technology offers notable precision and efficiency, thereby introducing a fresh avenue for tissue regeneration. Unlike the traditional framework encompassing scaffolds, cells, and signaling factors, 3D bioprinting constitutes a contemporary addition to the arsenal of tissue engineering tools. The ongoing shift from conventional dentistry to a more personalized paradigm, principally under the guidance of bioprinting, is poised to exert a significant influence in the foreseeable future. This systematic review undertakes the task of aggregating and analyzing insights related to the application of bioprinting in the context of regenerative dentistry. Adhering to PRISMA guidelines, an exhaustive literature survey spanning the years 2019 to 2023 was performed across prominent databases including PubMed, Scopus, Google Scholar, and ScienceDirect. The landscape of regenerative dentistry has ushered in novel prospects for dentoalveolar treatments and personalized interventions. This review expounds on contemporary accomplishments and avenues for the regeneration of pulp—dentin, bone, periodontal tissues, and gingival tissues. The progressive strides achieved in the realm of bioprinting hold the potential to not only enhance the quality of life but also to catalyze transformative shifts within the domains of medical and dental practices.
Evaluating the Consistency of Cooperative Video Games in Inducing Teamwork Behaviors

Teamwork assessment requires research environments that replicate the task complexity and induce challenges and uncertainty. Gamified environments are gaining attention as suitable environments for teamwork assessment, where teaming behaviors can be quantified. However, further research is needed to establish the relationship between gaming mechanics and teaming competencies. This work aims to assess the consistency of video games in inducing teaming behaviors. Five video games were analyzed through coding behaviors and cooperative features from gameplay streams. Results show that the selected games induce similar behavioral profiles of percentages of teaming competencies. These games have similar design characteristics, including performance environments and game loops. Design suggestions reflect potential associations between the analyzed game mechanics and the resulting behavioral profiles. The resulting teamwork profiles can be targeted through the simulation cooperative genre, therefore providing a design tool for teamwork testbed designers to induce teamwork distributions of interest.