Miracle-dz/UniFAR-FTUs huggingface dataset:
Adapting and Applying Offline Theory to Online Victimization: A Test of the Shadow of Sexual Assault Hypothesis with Fear of Online Victimization

ABSTRACT The shadow of sexual assault hypothesis has received considerable support in explaining women’s fear of crime. However, this hypothesis has yet to be tested in relation to online victimization. Utilizing a sample of undergraduates, this study tests the shadow hypothesis in the context of the Internet by examining the impact of fear of unwanted online sexual advances on individuals’ fear of online victimization, generally. Findings indicate that men’s and women’s levels of fear of online victimization differ, with women being significantly more fearful of several types of online victimization. Multiple regression findings also show that the effects of fear of unwanted online sexual advances may account for the relationship between sex and fear of online victimization.
Development of a Framework for Generating Driving Safety Assessment Scenarios for Automated Vehicles

Despite the technological advances in automated driving systems, traffic accidents involving automated vehicles (AVs) continue to occur, raising concerns over the safety and reliability of automated driving. For the smooth commercialization of AVs, it is necessary to systematically assess the driving safety of AVs under the various situations that they potentially face. In this context, these various situations are mostly implemented by using systematically developed scenarios. In accordance with this need, a scenario generation framework for the assessment of the driving safety of AVs is proposed by this study. The proposed framework provides a unified form of assessment with key components for each scenario stage to facilitate systematization and objectivity. The performance of the driving safety assessment scenarios generated within the proposed framework was verified. Traffic accident report data were used for verification, and the usefulness of the proposed framework was confirmed by generating a set of scenarios, ranging from functional scenarios to test cases. The scenario generation framework proposed in this study can be used to provide sustainable scenarios. In addition, from this, it is possible to create assessment scenarios for all road types and various assessment spaces, such as simulations, proving grounds, and real roads.
Supply chain risk management and artificial intelligence: state of the art and future research directions

Supply chain risk management (SCRM) encompasses a wide variety of strategies aiming to identify, assess, mitigate and monitor unexpected events or conditions which might have an impact, mostly adverse, on any part of a supply chain. SCRM strategies often depend on rapid and adaptive decision-making based on potentially large, multidimensional data sources. These characteristics make SCRM a suitable application area for artificial intelligence (AI) techniques. The aim of this paper is to provide a comprehensive review of supply chain literature that addresses problems relevant to SCRM using approaches that fall within the AI spectrum. To that end, an investigation is conducted on the various definitions and classifications of supply chain risk and related notions such as uncertainty. Then, a mapping study is performed to categorise existing literature according to the AI methodology used, ranging from mathematical programming to Machine Learning and Big Data Analytics, and the specific SCRM task they address (identification, assessment or response). Finally, a comprehensive analysis of each category is provided to identify missing aspects and unexplored areas and propose directions for future research at the confluence of SCRM and AI.
The evolution of alkaliphilic biofilm communities in response to extreme alkaline pH values

Extremes of pH present a challenge to microbial life and our understanding of survival strategies for microbial consortia, particularly at high pH, remains limited. The utilization of extracellular polymeric substances within complex biofilms allows micro‐organisms to obtain a greater level of control over their immediate environment. This manipulation of the immediate environment may confer a survival advantage in adverse conditions to biofilms. Within the present study alkaliphilic biofilms were created at pH 11.0, 12.0, or 13.0 from an existing alkaliphilic community. In each pH system, the biofilm matrix provided pH buffering, with the internal pH being 1.0–1.5 pH units lower than the aqueous environment. Increasing pH resulted in a reduced removal of substrate and standing biomass associated with the biofilm. At the highest pH investigated (pH 13.0), the biofilms matrix contained a greater degree of eDNA and the microbial community was dominated by Dietzia sp. and Anaerobranca sp.
Antioxidant Potential of Sea Cucumbers and Their Beneficial Effects on Human Health

Sea cucumbers are considered a luxury food item and used locally in traditional medication due to their impressive nutritional profile and curative effects. Sea cucumbers contain a wide range of bioactive compounds, namely phenolics, polysaccharides, proteins (collagen and peptides), carotenoids, and saponins, demonstrating strong antioxidant and other activities. In particular, phenolic compounds, mainly phenolic acids and flavonoids, are abundant in this marine invertebrate and exhibit antioxidant activity. Protein hydrolysates and peptides obtained from sea cucumbers exhibit antioxidant potential, mainly dependent on the amino acid compositions and sequences as well as molecular weight, displayed for those of ≤20 kDa. Moreover, the antioxidant activity of sea cucumber polysaccharides, including fucosylated chondroitin sulfate and fucan, is a combination of numerous factors and is mostly associated with molecular weight, degree of sulfation, and type of major sugars. However, the activity of these bioactive compounds typically depends on the sea cucumber species, harvesting location, food habit, body part, and processing methods employed. This review summarizes the antioxidant activity of bioactive compounds obtained from sea cucumbers and their by-products for the first time. The mechanism of actions, chemical structures, and factors affecting the antioxidant activity are also discussed, along with the associated health benefits.
The Relationship Criminal Behaviour Towards Quality of Life Based on Weather Changes: A Systematic Literature Review

Vol. No. 8, 2022, Pg. 646 Abstract Crime has been one of the most significant and interesting issues to be highlighted, both locally and internationally. Due to the crime rate, crime has become a severe concern in all communities, affecting the quality of life based on weather changes. Humans have the right to get a good quality of life and security. However, research regarding the quality of life towards the relationship between crime and weather changes is quite challenging because there is still a lack of references regarding the topic. There is still insufficient research that have comprehensively explored the relationship between criminal behaviour and quality of life based on weather fluctuations. Therefore, this study aims to conduct a systematic literature review on the relationship between criminal behaviour and weather changes towards the quality of life. This study's methodology incorporated numerous research designs, and its evaluation was based on the ROSES publication standard (Reporting Standard for Systematic Evidence Synthesis). This study selected papers from three databases: Scopus, Web of Science, and Google Scholar. The review process includes four main methodological steps, guided by review protocol, searching strategies based on identification, screening, and eligibility, followed by quality of appraisal, data abstraction, and analysis. Three themes were found based on thematic analysis: (a) crime, (b) weather, and (c) quality of life contribute to creating a relationship between criminal behaviour and weather changes towards the quality of life. This study found that criminal behaviour is related to the quality of life based on weather changes. The significant findings explained crime prediction using a different approach, such as crime prediction of the criminal acts based on weather and how it affects the quality of life of people and communities.
Health and fitness data for police officers within a health and wellness program: Implications for occupational performance and career longevity.

BACKGROUND Health and wellness programs can be implemented at police departments. Little research has detailed the characteristics of officers within these programs. OBJECTIVE To analyse the health and fitness data of officers involved in a health and wellness program from 2018-2020, and to profile the officers involved relative to population norms. METHODS Analysis was conducted on archival data from 633 officers (523 males, 110 females) who participated in a health and wellness program from a large city police department. Data included: body mass; body fat percentage; blood pressure (BP); estimated maximal aerobic capacity; sit-and-reach; push-ups; vertical jump; grip strength; sit-ups; bench press ratio. Data were grouped by year (2018, 2019, 2020), and a univariate ANCOVA with Bonferroni post hoc adjustment determined any significant between-group differences. Individual officer data were also compared to population norms. RESULTS The 2020 group had higher systolic BP compared to both other groups, and superior sit-and-reach and grip strength compared to the 2018 group (p < 0.05). Compared to population norms across the 3 years, 74-86% of officers had BP elevated above normal levels. Depending on the fitness component measured most officers (69-98%) were categorised as average or better. CONCLUSIONS There were few differences between the year groups, although the 2020 officers did have superior sit-and-reach and grip strength. The higher systolic BP from the 2020 group may be indicative of the challenges of the year (pandemic, civil unrest). Officers generally had good profiles relative to population norms. The wellness program appeared to benefit the well-being of officers.
Stable bundles on non-algebraic surfaces giving rise to compact moduli spaces

Nous montrons l'existence d'une certaine classe de fibres vectoriels holomorphes sur des surfaces non-algebriques, notamment sur les tores et sur les surfaces de Kodaira primaires. On en deduit l'existence des espaces non-vides de modules des fibres stables sur des surfaces non-kahleriennes qui admettent les compactifications construites dans [4].
Multi-Scale Safety Helmet Detection Based on RSSE-YOLOv3

Due to the shielding of dense and small targets, real-time detection of whether construction workers are wearing safety helmets suffers from low detection accuracy and missed detection. In this paper, a new detection algorithm based on YOLOv3 is proposed. Firstly, the parallel network RepVGG Skip Squeeze Excitation (RSSE) module is used to replace the Res8 module in the original YOLOv3 network. The RSSE module consists of 3 × 3 convolutional fusion channels and SSE branches fused. The introduction of the R-SSE module increases the network width, reduces the network depth, and improves the network detection speed and accuracy. Secondly, to avoid gradient disappearance and improve feature reuse, the residual module Res2 is used to replace the CBL×5 modules. Finally, the resolution of the input image is improved, and the four-scale feature prediction is used instead of the three-scale feature prediction to further improve the efficiency of detecting small targets. This paper also introduces the complete joint crossover (CIOU) to improve the loss function and positioning accuracy. The experimental results show that, compared with the original YOLOv3 algorithm, the improved algorithm improves the precision (P) by 3.9%, the recall (R) by 5.2%, and the average precision (mAP) by 4.7%, which significantly improves the performance of the detection.
Quantifying the composite microhardness and fracture toughness of iron ore sinter – a phase-based approach

Microindentation testing was undertaken on sinter phases in iron ore sinter to determine the range and mean of phase/morphology microhardness. The mean fracture toughness of each sinter phase/texture was calculated from indent-associated radial cracks. A value for the composite microhardness (CH) and composite fracture toughness (CFT) was calculated for each sinter sample, based upon the modal proportion of constituent sinter phases. The CH and CFT of sinter phases and each sinter sample was compared to a range of metallurgical indices and major element chemistry to determine the extent of any correlation. Moderate to strong negative correlations were observed between sinter CH and sinter Tumble Index, Reduction Degradation Index and Reducibility Index and between sinter CFT and Tumble Index, Reduction Degradation Index and Reducibility Index. The microindentation technique has the potential to be further developed to routinely characterise and predict the metallurgical performance of sinter.
Liposarcoma: A ‘Beer Belly’ in Disguise

Liposarcoma is a locally aggressive tumor that may originate in soft tissue sites such as the retroperitoneum or the extremities, or less frequently, from the bone. The fatty tumor may have an insidious growth pattern and be present incidentally on imaging, or it may be present with symptoms such as small bowel or ureter obstruction. The diagnosis can be confirmed post-operatively via fluorescence in situ hybridization (FISH) with the presence of mouse double minute 2 (MDM2) homolog protein and cyclin-dependent kinase 4 (CDK4) gene amplification. The rate of recurrence may be high depending on the subtype of liposarcoma, so it is always recommended to have the patient undergo routine imaging every six months to a year. In this case report, we present a patient who presented with a massive, incidental liposarcoma found on imaging after coming to the emergency department for lower extremity trauma.
Inhibitory Effect of Bacillus licheniformis Strains Isolated from Canine Oral Cavity

Bacillus licheniformis is used in a broad spectrum of areas, including some probiotic preparations for human and veterinary health. Moreover, B. licheniformis strains are known producers of various bioactive substances with antimicrobial and antibiofilm effects. In searching for new potentially beneficial bacteria for oral health, the inhibitory effect of B. licheniformis strains isolated from canine dental biofilm against pathogenic oral bacteria was evaluated. The antimicrobial effect of neutralized cell-free supernatants (nCFS) was assessed in vitro on polystyrene microtiter plates. Furthermore, molecular and morphological analyses were executed to evaluate the production of bioactive substances. To determine the nature of antimicrobial substance present in nCFS of B. licheniformis A-1-5B-AP, nCFS was exposed to the activity of various enzymes. The nCFS of B. licheniformis A-1-5B-AP significantly (p < 0.0001) reduced the growth of Porphyromonas gulae 3/H, Prevotella intermedia 1/P and Streptococcus mutans ATCC 35668. On the other hand, B. licheniformis A-2-11B-AP only significantly (p < 0.0001) inhibited the growth of P. intermedia 1/P and S. mutans ATCC 35668. However, enzyme-treated nCFS of B. licheniformis A-1-5B-AP did not lose its antimicrobial effect and significantly (p < 0.0001) inhibited the growth of Micrococcus luteus DSM 1790. Further studies are needed for the identification of antimicrobial substances.
Zinc Finger Protein 582 Deoxyribonucleic Acid Methylation, an Emerging Epigenetic Site in Cervical Cancer

Cervical cancer has become a most lethal and extensive gynecological malignancy, mainly because of the complete absence of symptoms in the early stage of the disease and the lack of early diagnostic markers. Several studies have found that deoxyribonucleic acid methylation plays an important role in the development of cervical cancer without altering the sequence of genomic deoxyribonucleic acid. Zinc finger protein 582 is on chromosome 19 and contains a Kruppel-associated box-AB region and 9 zinc finger motifs. Detection of the zinc finger protein 582 methylation in cervical precancerous lesions is helpful for the early diagnosis of cervical cancer. The level of chemotherapy increased with the increase of lesion grade and it was hypermethylated in cervical cancer tissues. It is hypothesized that the role of zinc finger protein 582 is like that of the tumor suppressor gene and the tumor gene expression decreases with an increased zinc finger protein 582 methylation level. This study aimed to describe the research progress of the zinc finger protein 582 methylation, detection in cervical cancer.
Evaluation of Various Lactic Acid Bacteria and Generic E. coli as Potential Nonpathogenic Surrogates for In-Plant Validation of Biltong Dried Beef Processing

Validation studies conducted within a food processing facility using surrogate organisms could better represent the manufacturing process than controlled laboratory studies with pathogenic bacteria on precision equipment in a BSL-2 lab. The objectives of this project were to examine potential surrogate bacteria during biltong processing, conduct biltong surrogate validation lethality studies, and measure critical factors and intrinsic parameters during processing. Beef pieces (1.9 cm × 5.1 cm × 7.6 cm) were inoculated with four-strain mixtures of Carnobacterium divergens/C. gallinarum, Pediococcus acidilactici/P. pentosaceous, and Biotype 1 E. coli ATCC BAA (-1427, -1428, -1429, and -1430), as well as a two-strain mixture of Latilactobacillus sakei and other commercially available individual bacterial cultures (P. acidilactici Saga200/Kerry Foods; Enterococcus faecium 201224-016/Vivolac Cultures). Inoculated beef was vacuum-tumbled in marinade and dried in a humidity-controlled oven for 8–10 days (24.9 °C; 55% relative humidity). Microbial enumeration of surviving surrogate bacteria and evaluation of intrinsic factors (water activity, pH, and salt concentration) were performed post inoculation, post marination, and after 2, 4, 6, 8, and 10 days of drying. Trials were performed in duplicate replication with triplicate samples per sampling time and analyzed by one-way RM-ANOVA. Trials conducted with E. faecium, Pediococcus spp. , and L. sakei never demonstrated more than 2 log reduction during the biltong process. However, Carnobacterium achieved a >5 log (5.85 log) reduction over a drying period of 8 days and aligned with the reductions observed in previous trials with pathogenic bacteria (Salmonella, E. coli O157:H7, L. monocytogenes, and S. aureus) in biltong validation studies. Studies comparing resuspended freeze-dried or frozen cells vs. freshly grown cells for beef inoculation showed no significant differences during biltong processing. Carnobacterium spp. would be an effective nonpathogenic in-plant surrogate to monitor microbial safety that mimics the response of pathogenic bacteria to validate biltong processing within a manufacturer’s own facility.
Effects of microbiological diversity in the anoxic-oxic-settling-anaerobic process strengthened by humic biological composite fillers

Excess sludge of wastewater treatment plants can cause environmental threats; hence, it should be treated. This study placed the humic biological composite fillers in the anoxic-oxic-settling-anaero-bic (A-OSA) process to reduce sludge production and improve nitrogen and phosphorus removal efficiency. The results indicated that the humic biological composite fillers could intensify the excess operational taxonomic units of the A-OSA process. The cumulative excess sludge produc- tion of humic biological composite fillers was reduced to 147.89 g (81.61% amount of A-OSA process) by strengthening the A-OSA process (A-O HA SA). In addition, the average total nitrogen (TN) and total phosphorus (TP) removal efficiencies of A-O HA SA were 79.23% and 91.74%, respectively. Miseq high-throughput sequencing technology was used to study the effects of composite humic biological filler on sludge reduction and TN-TP removal in the A-O HA SA process. The microbiological diversity of the A-O HA SA process was also studied. The humic biological composite fillers could affect the operating environment of the A-O HA SA process. Compared with A-OSA, the microbial diversity and community structure were changed in A-O HA SA. Proteobacteria and Flavobacteria , beneficial to nitrification, denitrification, and phosphorus-accumulating, became the dominant microflora. Burkholderiales and Flavobacteriales reproduced slowly, favoring sludge reduction.
Comparative and Correlation Analysis of Young and Mature Kaffir Lime (Citrus hystrix DC) Leaf Characteristics

Kaffir lime is leaf-oriented minor citrus that required extra attention to study. This study aimed to (i) comparatively analyze the young and mature leaf morpho-ecophysiological characters; and (ii) perform a correlation analysis for revealing the relationship among the physiological characters. Plants were ten one-year-old kaffir lime trees cultured under full sun condition. Leaf size was measured by using a specific allometric model. The Li-6400XT portable photosynthesis system was used to observe the leaf ecophysiological characters. The statistical analysis revealed significant differences in leaf size and physiology as the effect of leaf age. A significant size enlargement in mature leaves was noticed, especially in terms of leaf length, area, and weight, of about 77%, 177%, and 196%, respectively. Young leaves experienced a significant improvement in photosynthetic rate and actual water use efficiency for about 39% and 53%, respectively. Additionally, a strong, significant, and positive correlation between leaf chlorophyll, carotenoid content, and photosynthetic rate was found in the present study. Further studies using a multi-omics approach may enrich the science between kaffir lime leaf maturation as the basis of agricultural modification practice.
Time series-based groundwater level forecasting using gated recurrent unit deep neural networks

ABSTRACT In this research, the mean monthly groundwater level with a range of 3.78 m in Qoşaçay plain, Iran, is forecast. Regarding three different layers of gated recurrent unit (GRU) structures and a hybrid of variational mode decomposition with gated recurrent unit (VMD-GRU), deep learning-based neural network models are developed. As the base model for performance comparison, the general single-long short-term memory-layer network model is developed. In all models, the module of sequence-to-one is used because of the lack of meteorological variables recorded in the study area. For modeling, 216 monthly datasets of the mean monthly water table depth of 33 different monitoring piezometers in the period April 2002–March 2020 are utilized. To boost the performance of the models and reduce the overfitting problem, an algorithm tuning process using different types of hyperparameter accompanied by a trial-and-error procedure is applied. Based on performance evaluation metrics, the total learnable parameters value and especially the model grading process, the new double-GRU model coupled with multiplication layer (×) (GRU2× model) is chosen as the best model. Under the optimal hyperparameters, the GRU2× model results in an R 2 of 0.86, a root mean square error (RMSE) of 0.18 m, a corrected Akaike’s information criterion (AICc) of −280.75, a running time for model training of 87 s and a total grade (TG) of 6.21 in the validation stage; and the hybrid VMD-GRU model yields an RMSE of 0.16 m, an R 2 of 0.92, an AICc of −310.52, a running time of 185 s and a TG of 3.34.