Miracle-dz/UniFAR-FTUs huggingface dataset:
EVALUATION OF THE ACCURACY OF PERSONALITY JUDGMENTS BASED ON WRITTEN VERBAL PRODUCTION

The process of personality judgment occurs in daily social interactions and represents an attempt to identify characteristics of someone else's personality, in the way to explain past and predict future behaviors. The results of this process have implications on future decisions and actions of people. This research aimed to examine the accuracy of non-expert ratings of Extraversion and Conscientiousness based on short written texts. The sample consisted of 215 participants (Mage = 28.58, SD = 10.30; 80.5% females). The exclusion criterion was that participants were psychologists or psychology students, i.e., individuals familiar with personality research and taxonomies. Participants rated Extraversion and Conscientiousness, based on the texts written by five different individuals. Criteria used to estimate the accuracy of judgments were the agreement between self-report measures on HEXACO PI-R from people who wrote the texts and ratings from participants, as well as the agreement between multiple raters. The results showed that there was a moderate self-other agreement for Extraversion and Conscientiousness. Also, the results showed that there was a high between-raters agreement for Extraversion and Conscientiousness. This study indicates that it is possible to judge one’s personality based on written verbal production, as well that raters tend to form similar impressions about the personality from written texts.
Antitumor effects of Tv1 venom peptide in liver cancer

A strategy for treating the most common type of liver cancer, hepatocellular carcinoma (HCC) applies a targeted therapy using venom peptides that are selective for ion channels and transporters overexpressed in tumor cells. Here, we report selective anti-HCC properties of Tv1, a venom peptide from the predatory marine terebrid snail, Terebra variegata. Tv1 was applied in vitro to liver cancer cells and administered in vivo to allograft tumor mouse models. Tv1 inhibited the proliferation of murine HCC cells via calcium dependent apoptosis resulting from down-regulation of the cyclooxygenase-2 (COX-2) pathway. Additionally, tumor sizes were significantly reduced in Tv1-treated syngeneic tumor-bearing mice. Tv1’s mechanism of action involves binding to specific transient receptor potential (TRP) cation channels that are overexpressed in HCC cell models. Our findings demonstrate the unique potential of venom peptides to function as tumor specific ligands in the quest for targeted cancer therapies.
Morphometric Characterization of Bee Populations in the Banat-Oltenia Region

This paperwork reveals the results of the morphometric measurements performed on 200 worker bees from 5 apiaries from Timiș, Caraș-Severin and Mehedinți counties. The bees studied presented a high variability of characters, with the following values: proboscis length between 4.08 mm and 6.25 mm, anterior wing length with limits of 6.29-8.86 mm, and anterior wing width of 2.02-3.01; the posterior wing length was between 4.22 mm and 6.73 mm, and posterior wing width was 1.15-2.08 mm. Femur length was between 2.95 mm and 3.75 mm; tibia length presented values of 1.70 mm – 2.25 mm, and width was 0.39-0.80 mm. Basitarsus length was between 1.14 mm and 1.90 mm, and the width was between 0.43 mm and 0.90 mm. Tarsus length of the bees belonging to the 5 apiaries was comprised between 1.11 mm and 1.64 mm.
“I Want to Reclaim Christianity”: Boundary Work among Inclusive Christians

ABSTRACT Members of religious groups in the United States engage in boundary work to maintain distinct identities, but we know little about how inclusive Christians navigate the exclusionary aspects of boundary work. Drawing on one year of participant observation at a liberal congregation and twenty-six interviews, I find that congregants develop three strategies for boundary work that reflect their inclusive identity. I argue that this boundary work reflects the congregation’s high social class, thus reinforcing the underlying social boundary of class. This research extends our understanding of boundary work in congregations and further elucidates how churches may contribute to inequality.
Visualization Investigation of Energy Dissipation Induced by Eddy Currents for a Solitary-Like Wave Passing over Submerged Breakwater Sets

Wave attenuation for the purpose of coastal protection has been an important topic in coastal engineering. Wave attenuation in relation to the vortices induced by a solitary-like wave propagating over submerged breakwaters (BWs) is discussed in this paper. A series of hydraulic model experiments was conducted to investigate the occurrence of eddies, the types and combinations of submerged BWs, and related phenomena of the range expansion of vortices. The microscopic changes in the flow field, the variation of eddies, and the distributions of streamlines were analyzed using the particle image velocimetry (PIV) technique. The measured transmission and reflection coefficients, along with the concept of energy conservation, were also examined to support the results. The results indicate that the attenuated wave energy is related to the induced vortices, and show that the total relative vortex energy for rectangular submerged BWs is larger than that for undulating submerged BWs in both the single and composite sets. The magnitude of the maximum vorticity of the undulating BW sets is larger and more concentrated than that of the rectangular BW sets; however, the total vortex energy is slightly smaller owing to the narrower vortex area range.
Physical Controls on Carbonate Intraclasts: Modern Flat Pebbles From Great Salt Lake, Utah

In carbonate‐forming environments, authigenic minerals can cement surface sediments into centimeter‐sized intraclasts that are later reworked into “flat‐pebble” or “edgewise” conglomerates. Flat‐pebble conglomerates comprise only a small portion of facies in modern marine environments but are common in ancient strata, implying that seafloor cements were more widespread in the past. Flat‐pebble conglomerates nearly disappeared after the Ordovician radiation, yet it is unclear if this decline was due to changing seawater chemistry or if increased infaunalization and bioturbation simply worked to break down nascent clasts. We discovered a process analog that produces flat‐pebble conglomerates around the Great Salt Lake, Utah, USA, and studied these facies using field observations, wave models, satellite imagery, petrography, and microanalytic chemical data. Clasts were sourced from wave‐rippled grainstone that cemented in situ in offshore environments. Lake floor cements formed under aragonite saturation states that are lower than modern marine settings, suggesting that physical processes are at least as important as chemical ones. Results from our wave models showed that coarse sediments near the field site experience quiescent periods of up to 6 months between suspension events, allowing isopachous cements to form. Using a simple mathematical framework, we show that the main difference between Great Salt Lake and modern, low‐energy marine settings is that the latter has enough bioturbating organisms to break up clasts. Observations from Great Salt Lake demonstrate how geologic trends in flat‐pebble abundance could largely reflect changes in total infaunal biomass and ecology without requiring regional‐to‐global changes in seawater chemistry.
Light emitting diodes (LEDs) in fluorescence-based analytical applications: a review

Abstract In recent times, fluorescence-based analytical devices are getting more equipped with LEDs than conventional light sources because of their availability in a broad range of wavelengths and appropriate power outputs. Further, LEDs are compact and affordable compared to commonly used light sources. LEDs have played a key role in miniaturizing the fluorescence detection devices and bringing the instrument to the experiment, rather than vice versa. The current review summarizes the key factors in developing a sensitive, affordable, and portable LED-Induced Fluorescence (LED-IF) detection-based analytical devices and their applications in various fields. The first part of the review discuss the fundamental aspects of fluorescence as well as LEDs in general. Whereas, the second part highlights the technical considerations and the applications of sensitive LED-IF detection-based analytical devices.
A case report of congenital myasthenic syndrome caused by a mutation in theCHRNE genein the Iranian population

Congenital myasthenic syndrome (CMS) refers to a heterogeneous group of inherited disorders, characterized by defective transmissionat the neuromuscular junction (NMJ). Patients with CMS showed similar muscle weakness, while other clinical manifestations are mostly dependent on genetic factors. This disease,caused bydifferent DNA mutations, is genetically inherited. It is also associated with mutations of genes at NMJ, involving the acetylcholine receptor (AChR) subunits. Here, we present the case ofa five-year-old Iranian boywith CMS, undergoingtargeted sequencing of a panel of genes, associated with arthrogryposis and CMS. The patient had six affected relatives in his genetic pedigreechart. The investigations indicated a homozygous single base pair deletion at exon 12 of the CHRNE gene (chr17:4802186delC). This region was conserved across mammalian evolution and was not submitted to the 1000 Genomes Project database.Overall, the CHRNEvariant may beclassified as a significant variant in the etiology of CMS.It can besuggested thatthe Iranian CMS population carry regional pathogenic mutations, which can be detected viatargeted and whole genome sequencing.
Pleistocene glacial cycles and physical barriers influence phylogeographic structure in Black-capped Chickadees (Poecile atricapillus), a widespread North American passerine

The nonmigratory Black-capped Chickadee (Poecile atricapillus (Linnaeus, 1766)) has a continent-wide distribution extending across large parts of North America. To investigate the phylogeographic structure and verify possible refugia during the last glacial maximum, we sequenced a 678 bp region of the mitochondrial control region from 633 Black-capped Chickadees at 35 sites across North America and performed paleoecological distribution modeling. Two genetically distinct groups were found using multiple analyses: one in Newfoundland (Canada) and a widespread continental group, with additional substructure evident in western continental populations. While gene flow is low throughout the range, it is especially low in peripheral populations. The Newfoundland population has remained isolated from continental populations for at least 65 000 years and contains a number of fixed nucleotide differences. Within the continental populations, Black-capped Chickadees are subdivided into Pacific Coast, Alaska (USA), southeast Rockies, and main-northeast groups consistent with late Pleistocene vicariance events. Evidence of secondary contact was identified between Pacific and main-northeast populations in northwest British Columbia (Canada) and between southeast Rockies and main-northeast groups in Montana (USA). Paleoecological distribution modeling predicted suitable habitat in Alaska, off the coast of Newfoundland, and several locations across the southern United States during the last glacial maximum, whereas suitable habitat during the last interglacial was more similar to the contemporary distribution.
Advancing reminiscence therapy through virtual reality application to promote social con-nectedness of persons with Dementia

Reminiscence Therapy (RT) is a multi-sensory treatment that uses the combination of sight, touch, taste, smell and sound to help persons with dementia (PWD) remember events, people and places from their past lives [1]. It involves the discussion of past activities, events and experiences with another person or group of people, usually with the aid of tangible prompts such as photographs, household and other familiar items from the past, music and archive sound recordings [2]. In many cases, recent memories deteriorate first for the PWD while their personal identity can slip away as cognitive abilities decline. However, even as individuals begin to lose touch with current events, PWD may hold onto cherished memories. As part of the reminiscence therapy, caregivers may use objects in various activities to help PWD with recall of memories. Reminiscence therapy is commonly conducted employing simple and advanced techniques with the ultimate goal of bring memories from the distant past into present awareness [2]. A simple technique can use conversation to trigger memories [3], while advanced ones make use of strong bonds with diverse media such as pictures, video and audio including favorite songs, and treasured objects to recall personal histories [4]. Independently of the approach, research has revealed that the patient exposure to the chosen materials through storytelling associated to past events can help PWD feel less socially isolated and more connected to the present [5].
Daytime Evolution of Lower Atmospheric Boundary Layer Structure: Comparative Observations between a 307-m Meteorological Tower and a Rotary-Wing UAV

A 307-m tall meteorological tower was used to evaluate meteorological observation data obtained using a rotary-wing unmanned aerial vehicle (UAV). A comparative study between the tower and UAV observations was conducted during the daytime (06:00 to 19:00 local time (LT)) in the summer of 2017 (16–18th August). Hourly vertical profiles of air temperature, relative humidity, black carbon (BC), and ozone (O3) concentrations were obtained for up to 300 m height. Statistical metrics for evaluating the accuracy of UAV observations against the tower observation showed positive (potential temperature) and negative (relative humidity) biases, which were within acceptable ranges. The daytime evolution of the lower atmospheric boundary layer (ABL) was successfully captured by the hourly UAV observations. During the early morning, a large vertical slope of potential temperature was observed between 100 and 140 m, corresponding to the stable ABL height. The large vertical slope coincided with the large differences in BC and O3 concentrations between altitudes below and above the height. The transition from stable to convective ABL was observed at 10–11 LT, indicated by the ABL height higher than 300 m in the convective ABL. Finally, we provide several recommendations to reduce uncertainties of UAV observation.
Genomics of tailless bacteriophages in a complex lactic acid bacteria starter culture

Background Our previous study on a model microbial community originating from artisanal cheese fermentation starter revealed that bacteriophages not only co-exist with bacteria but also are highly abundant. To gain more insight into the potential role of prophages in the microbial community, we analysed the genomic content of 6 phage crops released by different strains in the starter culture, performed comparative genome analysis, and demonstrated their roles in phage defence of respective hosts. Results The identified prophages belong to three different subgroups of the Siphoviridae P335 phage group. Remarkably, most analysed prophages show disruptions in different tail encoding genes, resulting in a common tailless phenotype. Furthermore, a number of potentially beneficial features for the host carried by prophages were identified. The prophages carry up to 3 different phage defence systems per genome that are functional in protecting the host from foreign phage infection. Conclusion We suggest that the presumably defective prophages are a result of bacteria-phage coevolution and convey advantages to host bacteria; knowledge on the ecological role of such (defective) prophages may contribute to a refreshed look in strain selection criteria in (dairy) industry.
Modeling and interpreting hydrological responses of sustainable urban drainage systems with explainable machine learning methods

Abstract. Sustainable drainage systems (SuDS) are decentralized stormwater management practices that mimic the natural drainage processes. Their modeling is often challenged by insufficient data and unknown factors affecting the hydrological processes. This study uses machine learning methods to model directly the correlation between hydrological responses and rainfalls at fine temporal scales in two catchments of different sizes. A feature engineering method is developed to extract useful information from rainfall time series and is used in combination with a nested cross-validation procedure to derive high-quality models and to estimate their generalization errors. The SHAP method is adopted to explain the basis of each prediction, which is then used for estimating catchment response time and hydrograph separation. The explanations of the predictions provide valuable insights into the models’ behavior and the involved hydrological processes. Thus, interpreting machine learning models is found as a useful way to study catchment hydrology.
Improving Radar-Based Precipitation Nowcasts with Machine Learning Using an Approach Based on Random Forest

A binary classification model is trained by random forest using data from 41 stations in Norway to predict the precipitation in a given hour. The predictors consist of results from radar nowcasts and numerical weather predictions. The results demonstrate that the random forest model can improve the precipitation predictions by the radar nowcasts and the numerical weather predictions. This study clarifies whether certain potential factors related to model training can influence the predictive skill of the random forest method. The results indicate that enforcing a balanced prediction by resampling the training datasets or lowering the threshold probability for classification cannot improve the predictive skill of the random forest model. The study reveals that the predictive skill of the random forest model shows seasonality, but is only weakly influenced by the geographic diversity of the training dataset. Finally, the study shows that the most important predictor is the precipitation predictions by the radar nowcasts followed by the precipitation predictions by the numerical weather predictions. Although meteorological variables other than precipitation are weaker predictors, the results suggest that they can help to reduce the false alarm ratio and to increase the success ratio of the precipitation prediction.
A Pilot Study of Diabetes Mellitus Classification from rs-fMRI Data Using Convolutional Neural Networks

Background. As a chronic progressive disease, diabetes mellitus (DM) has a high incidence worldwide, and it impacts on cognitive and learning abilities in the lifetime even in the early stage, may degenerate memory in middle age, and perhaps increases the risk of Alzheimer’s disease. Method. In this work, we propose a convolutional neural network (CNN) based classification method to help classify diabetes by distinguishing the brains with abnormal functions from the normal ones on resting-state functional magnetic resonance imaging (rs-fMRI). The proposed classification model is based on the Inception-v4-Residual convolutional neural network architecture. In our workflow, the original rs-fMRI data are first mapped to generate amplitude of low-frequency fluctuation (ALFF) images and then fed into the CNN model to get the classification result to indicate the potential existence of DM. Result. We validate our method on a realistic clinical rs-fMRI dataset, and the achieved average accuracy is % in fivefold cross-validation. Our model achieves a 0.8690 AUC with 77.50% and 77.51% sensitivity and specificity using our local dataset, respectively. Conclusion. It has the potential to become a novel clinical preliminary screening tool that provides help for the classification of different categories based on functional brain alteration caused by diabetes, benefiting from its accuracy and robustness, as well as efficiency and patient friendliness.
Molecular Characterisation and Phylogenetic Analysis of Porcine Beta-Defensin-1 Gene in Ankamali Pigs of India

Ankamali pigs from Kerala possess unique qualities such as disease resistance and adaptation to the local environment. Porcine beta defensin-1 (PBD-1) gene plays an important role in the innate immunity of pigs by encoding an antimicrobial peptide that is active against several bacteria and fungi. Present study was undertaken to characterise the PBD-1 gene in Ankamali pigs. Total RNA was extracted from the tongue of Ankamali pigs and cDNA were synthesized by Reverse Transcription –Polymerase Chain Reaction (RTPCR). The PBD-1 gene was amplified from the cDNA and sequenced. Nucleotide sequencing revealed that the product was exactly 243 bp long encompassing the 192 bp long complete coding sequence (CDS) of PBD-1 gene. The gene encoded a peptide of 64 amino acids. The PBD-1 sequence from Ankamali showed complete homology with that of other pigs. Phylogenetic tree constructed from homologous sequences illustrated the evolutionary relationship of PBD-1 with beta-defensins of other species.
An Empirical Study on Flow-based Botnet Attacks Prediction

In the era of the Internet of Things, botnet threats are rising, which has prompted many studies on botnet detection and measurement. In contrast, this study aims to predict botnet attacks, such as massive spam emails and distributed denial-of-service attacks. To that end, this empirical study presents a prediction method for botnet attacks. The method leverages measurement of command and control (C2) activities and automated labeling by associating C2 with attacks. The method was evaluated using a large-scale, real-world, and long-term dataset. The result shows that the proposed method can predict an increase in attacks with an accuracy of 0.767. The contribution to prediction was further analyzed in terms of features and time.
Usefulness of Radial Artery as a Carotid Artery Patch in Simultaneous Carotid Endarterectomy and Coronary Artery Bypass Graft Operation with Complete Arterial Revascularization.

BACKGROUND Serious coronary artery diseases including left main coronary artery disease, proximal left anterior descending artery disease, and three-vessel coronary artery disease with carotid artery stenosis are required simultaneous operations. By using complete arterial revascularization technique for coronary artery bypass graft operation, radial artery can be used safely as a patch material for carotid endarterectomy in combined surgery. METHODS Between 2016 and 2018, 14 patients who had serious coronary artery disease with the stenosis of unilateral carotid artery equal/over 70% were included in the study. Complete arterial revascularization was performed in all patients and radial artery was used as a patch material in carotid endarterectomy. RESULTS All patients were discharged without any complication and carotid artery colored Doppler ultrasound was performed to the patients in the 3rd months, 6th months, and first year of the operation. There was no restenosis detected. CONCLUSION In conclusion, radial artery is useable for carotid patch angioplasty in patients who underwent simultaneous carotid endarterectomy and coronary artery bypass graft operation with complete arterial revascularization. Further studies including a large number of patients are needed to examine the long-term patency of this graft.