Miracle-dz/UniFAR-FTUs huggingface dataset:
Study of Vocal Muscle Strain with Skin Deformation Tracking System

Vocal strain can have a profound effect on a person's life and livelihood. However, methods to identify and quantify vocal strain presumed to originate in the laryngeal muscles severely lack. We aim to address this shortcoming. Using motion capture with consumer RGBD cameras, we track skin deformation of perilaryngeal anterior neck regions in participants with and without vocal strain. Neck movement variability differences between the two groups provides insight into extrinsic laryngeal vocal muscles that may underlie symptoms of vocal strain.
Interactive comment on “Distribution of known macrozooplankton abundance and biomass in the global ocean” by R.

We the manuscript our and clariﬁcations below and in the manuscript in part the issues raised. Referee The way I understand the purpose of the paper is to collate abundance and biomass observations on marine macrozooplankton (> 2 mm as adults) for contributing data on Plankton Functional Types (PFT) for use in global biogeochemical models (Dynamic Green Ocean Models, DGOMs)). I regret observing that macrozooplankton is not a natural group but a man-chosen size fraction. It comprises herbivores (salps), as well as carnivores (two PFTs). Functional (PFT) her-bivore database publica-tion. functional web deﬁnition upon. classiﬁcation of,
Comparing construction technologies of single family housing with regard of minimizing embodied energy and embodied carbon

This article concerns the Life Cycle Assessment method of evaluation and the ways in which it can be applied as a tool facilitating the design of buildings to reduce embodied energy and embodied carbon. Three variants of a building were examined with the same functional ground plan and usable floor area of 142.6 m 2 . Each variant of the building was designed using different construction technologies: bricklaying technology utilizing autoclaved aerated concrete popular in Poland, wooden frame insulated with mineral wool, and the Straw-bale technology. Using digital models (Building Information Model) the building’s energy characteristics was simulated and the embodied energy and embodied carbon of the production stage (also called cradle-to-gate) were calculated. The performed calculations were used to compare the cumulative energy and embodied carbon of each variant for a 40 year long life cycle.
Data Preprocessing for Vibration Analysis: Application in Indirect Monitoring of ‘Ship Centrifuge Lube Oil Separation Systems’

Air quality can be affected by merchant ships, so it is important to regulate emissions that are produced, as well as to use energy efficiently. In this sense, the cleanliness of the oil used in lubrication is essential to achieve a better use of energy and reduce losses in marine engines. For that, it is vital to carry out good maintenance strategies. Therefore, it is important to develop techniques that allow condition monitoring during engine operation. In order to detect potential problems as soon as possible, it is common to analyze vibratory signals, since sustainable changes in the rotating frequency and its harmonics can be detected, which was the objective of this work, by analyzing the time-frequency domain using wavelet packet transform. A methodology to select the optimal function (mother wavelet) and the best patterns to monitor, in order to determine the state of the purifiers of the marine lube oils, was carried out, including intelligent classification systems. Specifically, this document considers centrifugal oil lubricant separators systems, since the monitoring of these systems can determine the condition of different mechanical systems.
Modeling Dis(cid:13)uencies in Conversational Speech

Conversational speech is notably di(cid:11)erent from read speech in several ways, particularly in the presence of dis(cid:13)uencies but also in the frequent use of a small set of words that mark the (cid:13)ow of the discourse. Dis(cid:13)uencies are sometimes viewed as a \problem" in language modeling, where most previous work has focused on written text. In this paper, we take the view that dis(cid:13)uencies provide information themselves. In particular, we give evidence that (cid:12)lled pauses serve di(cid:11)er-ent functions, including marking linguistic unit and restart boundaries, and signaling hesitation where the speaker wants to hold the (cid:13)oor. The di(cid:11)erent functions can be connected to similar functions of other words common in spontaneous but not written speech, and the particular function a(cid:11)ects the word conditioning choices in a variable ngram model. Thus, at least some of the idiosyncrasies of spontaneous speech can be viewed as a source of information for language modeling rather than an interruption in the linguistic structure.
Environmental Sustainability and Energy-Efficient Supply Chain Management: A Review of Research Trends and Proposed Guidelines

This paper conducts a structured review on the topic of energy efficiency and environmental sustainability in the supply chain management context to define research trends on the topic and identify research gaps. The review is carried out using the largest databases of peer-reviewed literature (Scopus and Web of Science). A sample of 122 papers focusing on the topic of energy-efficient and sustainable supply chain management was selected and analyzed through descriptive and content analysis. The review highlights that despite there is a growing research trend on the topic, different research gaps remain to be covered. These gaps concern the factors influencing energy efficiency and environmental sustainability initiatives, the classification of energy efficiency and environmental sustainability initiatives, the impact of energy efficiency and environmental sustainability on supply chain performance, the customer perspective in sustainable and energy-efficient supply chain, and the different technologies supporting the energy efficiency and environmental sustainability initiatives. The research gaps and the research questions identified offer the opportunity to identify areas of investigation to design future research directions and propose guidelines in the field of supply chain management.
Influence of static eccentricity on unbalanced magnetic force of external rotor permanent magnet brushless direct current motor used as In‐wheel motor

Here, analytical expressions of the unbalanced magnetic force (UMF)of the stator and the rotor under static eccentricity (SE) are deduced by using complex relative magnetic conductivity method and Maxwell stress tensor method. The frequency characteristics of the UMF are obtained. Further the influence of different eccentricity ratio on the UMF is researched. Then, an external rotor permanent magnet brushless direct current motor (PMBLDCM) with 46 poles and 51 slots used as an in-wheel motor is taken as an example to verify the frequency characteristics by finite element analysis (FEA). The research shows that the frequency characteristics of the UMF of the stator s related to electric frequency. The frequency characteristics of the UMF of the rotor are related to the power source frequency and the rotation frequency of the wheel. It does not introduce new frequency components when the motor SE occurs. As the SE ratio increases, the amplitude of the UMF increases. The UMF without eccentricity exists in all directions with the change of the time. However, as the eccentricity ratio increases, the direction of the UMF is closer to the eccentric direction.
Fire Extinguishing System

is article rst introduces the characteristics and disadvantages of traditional remote re extinguishing technology and proposes a remote re extinguishing system based on electromagnetic ejection. Based on the nite element analysis method and the grid matrix method, a seven-segment electromagnetic launcher model is designed. As the initial energy source, the capacitor can accelerate a 10 kg re extinguishing bomb to 113m/s with a range of 2 km. e results show that the electromagnetic catapult designed in this study can meet the needs of re extinguishing bombs. is paper also designs the overall structure of the vehicle electromagnetic catapult remote re extinguishing system, discusses its role in the eld of reghting, and prospects the future work.
Advances in Water Resources Stable drainage in a gravity field

During drainage, as a voxel of porous material is being actively invaded prior to percolation, the invading nonwetting fluid cannot be transmitted to the neighboring downstream voxel until a critical nonwetting saturation ( 𝑆 𝑛𝑐 ) is reached. This occurs when the invading fluid forms a percolating path across the voxel. We present novel laboratory observations of gravitationally stable, air/water drainage in thin bead packs, with 2D saturation fields monitored at high spatial and temporal resolution using transmitted light. We also present Invasion Percolation simulations. Both show that 𝑆 𝑛𝑐 has a strong dependence on capillary number ( Ca ), Bond number (Bo), and voxel size ( 𝐿 𝑧 ). We propose a percolation model that describes the functional form of 𝑆 𝑛𝑐 (Bo , Ca ,𝐿 𝑧 ) . We also produce a new theoretical model for the macroscopic capillary pressure function 𝑃 𝑐 ( 𝑆 𝑤 , Bo , Ca ,𝐿 𝑧 ) , where 𝑆 𝑤 is the saturation of wetting fluid in the voxel.
Integrative analysis of traffic and situational context data to support urban mobility planning

European cities are placing a larger emphasis on urban data consolidation and analysis for optimizing public transportation in response to urban mobility dynamics. In spite of the existing efforts, traffic data analysis often disregards vital situational context, such as social distancing norms, public events, weather, traffic generation poles, or traffic interdictions. Some of these sources of situational context data are still private, dispersed or unavailable for the purpose of planning or managing urban mobility. The Lisbon City Council has already started efforts for gathering of historic and prospective sources of situational context in semi-structured repositories, triggering new opportunities for context-aware traffic data analysis. In this context, this paper adds value to the current theory and practice with three major contributions. First, we propose a methodology to integrate situational context around urban mobility in descriptive and predictive analysis of traffic data, with a focus on the following major spatiotemporal traffic data structures: i) geo-referenced time series data; ii) origin-destination tensor data; iii) raw event data. Second, we introduce additional principles for the online consolidation and labeling of heterogeneous sources of situational context. Third, we offer compelling empirical evidence of the impact produced by situational context aspects on urban mobility, with particular incidence on public passenger transport data gathered from card validations along the bus (CARRIS), subway (METRO) and bike sharing (GIRA) modes in Lisbon. The research reported in this paper is anchored in the ongoing contributions made available in the pioneer research and innovation ILU project, a project that joins the Lisbon city Council and two research institutes with the aim of applying current advances in the field of artificial intelligence to move towards context-aware and sustainable passengers’ mobility.
Detection of fruit flies (Diptera: Tephritidae) Using Cue-Lure and Methyl Eugenol in Depok City and Bogor District, West Java, Indonesia

H, E, T, Setiawan Y. 2022. Detection of fruit flies (Diptera: Tephritidae) Using Cue-Lure and Methyl Eugenol in Steiner Traps in Depok City and Bogor District, West Java, Indonesia. Biodiversitas 23: 4202-4208. Fruit flies (Diptera: Tephritidae) are one of the most economically important insect pests worldwide. Two types of attractants are recommended for monitoring and controlling fruit flies: methyl eugenol (ME) and cue-lure (CL). The objective of this study was to investigate the species richness and abundance of fruit flies (Diptera: Tephritidae) using methyl eugenol (ME) and cue-lure (CL) in Depok City and Bogor District, West Java, Indonesia. The study was conducted in three sites of fruit orchards in Bogor District i.e., Malay apple ( Syzygium malaccense ), Lemon ( Citrus limon ), Papaya ( Carica papaya ) and two sites of fruit orchards in Depok District i.e., carambola ( Averrhoa carambola ) and guavas ( Psidium guajava ). Male fruit flies were trapped using Steiner traps baited with methyl eugenol (ME) and cue-lure (CL). There were 11 fruit fly species collected from this study i.e., Bactrocera albistrigata, B. carambolae, B. dorsalis, B. neocognata, B. umbrosa, B. verbascifoliae, Dacus conopsoides, D. longicornis, Zeugodacus calumniata, Z. caudatus, and Z. cucurbitae . In this study, B. was , D. conopsoides, D. longicornis, and Z. caudatus were only collected in Steiner traps baited with CL and B. dorsalis and B. umbrosa also only responded to ME. During sampling periods, 20,217 male adult fruit flies were collected. The highest relative abundance attracted to ME was B. carambolae and CL was Z. cucurbitae . In this study, B. albistrigata, B. calumniate, D. longicornis, Z. caudatus and Z. cucurbitae were significantly more attracted to CL than ME. Whereas, B. carambolae, B. dorsalis, B. umbrosa, and B. verbascifoliae were significantly more attracted to ME than CL. Our study showed also did not find invasive species in Depok City and Bogor District, West Java, Indonesia. Our study can be used as a method for monitoring and controlling fruit flies, namely Steiner trap with CL for Z. cucurbitae and Steiner trap with ME for B. carambolae, B. dorsalis and B. umbrosa in Depok City and Bogor District, West Java, Indonesia.
User Location Detection Metadata based classiﬁcation

In this research we set out to detect the location of users of chat applications based on the metadata of their messages. Related work shows that location detection is possible based on the activity proﬁle of the users and then especially using the night inactivity. It also shows that the location of a user can be detected based on the strength of their relationship with respect to their social network. We contribute to earlier research by focusing on the daily routine of a user’s activity proﬁle, other network features besides the strength of the relation between the users and we investigate how the combination of daily routines and network features can help the model to better detect the user’s location. We found that nightly inactivity is a very strong predictor of the location and it is possible to predict the user’s country location with 10.86% accuracy, almost doubling on a random guess with the 18 countries in our data set. Our network features include tie strength, density, average start sleep time and number of contacts. These features help the model to detect better than with a random guess with a total accuracy of 7.55%. Combining the two independent set of features improves statistically signiﬁcant upon both individual models to an accuracy of 11.85%.
NARBreakthroughArticle The CDI toxin of Yersiniakristensenii is a novel bacterial member of the RNase A superfamily

Contact-dependent growth inhibition (CDI) is an important mechanism of inter-bacterial competition found in many Gram-negative pathogens. CDI + cells express cell-surface CdiA proteins that bind neighboring bacteria and deliver C-terminal toxin domains (CdiA-CT) to inhibit target-cell growth. CDI + bacteria also produce CdiI immunity proteins, which specif-ically neutralize cognate CdiA-CT toxins to prevent self-inhibition. Here, we present the crystal structure of the CdiA-CT / CdiI Ykris complex from Yersiniakristensenii ATCC 33638. CdiA-CT Ykris adopts the same fold as angiogenin and other RNase A paralogs, but the toxin does not share sequence similarity with these nucleases and lacks the characteristic disul-ﬁde bonds of the superfamily. Consistent with the structural homology, CdiA-CT Ykris has potent RNase activity in vitro and in vivo. Structure-guided mutagenesis reveals that His175, Arg186, Thr276 and Tyr278 contribute to CdiA-CT Ykris activity, suggesting that these residues participate in substrate binding and / or catalysis. CdiI Ykris binds directly over the putative active site and likely neutralizes toxicity by blocking access to RNA substrates. Signiﬁcantly, CdiA-CT Ykris is the ﬁrst non-vertebrate protein found to possess the RNase A superfamily fold, and homologs of this toxin are associated with secretion systems in many Gram-negative and Gram-positive bacteria. These observations suggest that RNase A-like toxins are commonly deployed in inter-bacterial competition.
Needed in Empirical Social Science: Numbers

Knowing the magnitude and standard error of an empirical estimate is much more important than simply knowing the estimate’s sign and whether it is statistically signiﬁcant. Yet, we ﬁnd that even in top journals, when empirical social scientists choose their headline results —the results they put in abstracts—the vast majority ignore this teaching and report neither the magnitude nor the precision of their ﬁndings. They provide no numerical headline results for 63% ± 3% of empirical economics papers and for a whopping 92% ± 1% of empirical political science or sociology papers between 1999 and 2019. Moreover, they essentially never report precision (0 . 1% ± 0 . 1%) in headline results. Many social scientists appear wedded to a null hypothesis testing culture instead of an estimation culture. There is another way: medical researchers routinely report numerical magnitudes (98% ± 1%) and precision (83% ± 2%) in headline results. Trends suggest that economists, but not political scientists or sociologists, are warming to numerical reporting: the share of empirical economics articles with numerical headline results doubled since 1999, and economics articles with numerical headline results get more citations (+19% ± 11%). abstract published in the New England Journal of Medicine: Infections after placement of cardiac implantable electronic devices (CIEDs) are associated with substantial morbidity and mortality. We conducted a randomized, controlled clinical trial to assess the safety and eﬃcacy of an absorbable, antibiotic-eluting envelope in reducing the incidence of infection associated with CIED implantations. A total of 6983 patients underwent randomization: 3495 to the envelope group and 3488 to the control group. [A serious infection] occurred in 25 patients in the envelope group and 42 patients in the control group (12-month Kaplan–Meier estimated event rate, 0.7% and 1.2%, respectively; hazard ratio, 0.60; 95% conﬁdence interval [CI], 0.36 to 0.98; P=0.04). an antibacterial envelope resulted in a signiﬁcantly lower incidence of major CIED infections than standard-of-care infection-prevention strategies alone, without a higher incidence of complications. 18 Discussions such as this one give reader view of numerous relevant outcomes and ﬁndings. There is no vagueness about eﬀects of the estimates. All the information is presented front-and-center for the reader.
Contribution of DNA polymerase (cid:1) to immunoglobulin gene hypermutation in the mouse

The mutation pattern of immunoglobulin genes was studied in mice deficient for DNA polymerase (cid:1) , a translesional polymerase whose inactivation is responsible for the xeroderma pigmentosum variant (XP-V) syndrome in humans. Mutations show an 85% G/C biased pattern, similar to that reported for XP-V patients. Breeding these mice with animals harboring the stop codon mutation of the 129/Olain background in their DNA polymerase (cid:2) gene did not alter this pattern further. Although this G/C biased mutation profile resembles that of mice deficient in the MSH2 or MSH6 components of the mismatch repair complex, the residual A/T mutagenesis of pol (cid:1) -deficient mice differs markedly. This suggests that, in the absence of pol (cid:1) , the MSH2–MSH6 complex is able to recruit another DNA polymerase that is more accurate at copying A/T bases, possibly pol (cid:3) , to assume its function in hypermutation. Somatic hypermutation of immunoglobulin genes is initiated by activation-induced cytidine deaminase (AID; reference 1). Most experimental evidences suggest that AID initiates this process by
The dysregulation of NME1, LINC00511, and LINC01028 could disturb the regular apoptosis process and promote breast cancer in the Isfahan population: integrated bioinformatics and experimental analyses

Mahdieh Bakhshayesh Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran Parisa Rabiei Chamgordani Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran Shima Sanaei Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran Haniyeh Farhadi Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran Shadi Omidghaemi Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran Mansoureh Azadeh (  mazadeh@phd.iaurasht.ac.ir ) Department of Biology, Rasht Branch, Islamic Azad University, Rasht, Iran https://orcid.org/0000-00032031-4640
Clinical Significance of Neuregulin 4, Afamin, and SERPINB1 in Gestational Diabetes Mellitus and Their Relationship with Insulin Resistance

Objective This study aims to explore the serum levels of neuregulin 4 (NRG4), afamin (AFM), and serpin family B member 1 (SERPINB1) in gestational diabetes mellitus (GDM) patients and their relationship with insulin resistance. Method Serum levels of AFM, SERPINB1, and NRG4 were measured in GDM (n = 58), and non-GDM women (n = 60) using enzyme-linked immunosorbent assay (ELISA) kits. Besides, the serum insulin and glucose levels were also measured followed by calculating the homeostatic model assessment of insulin resistance (HOMA-IR). The correlation was performed using the Pearson analysis. Results The increased serum levels of AFM and SERPINB1 were revealed in GDM patients as compared with non-GDM women, accompanied by the lower NRG4 serum level. ROCs for AFM concentrations showed an AUC of 0.629 (95% CI: 0.527∼0.731), 0.832 (95% CI: 0.754∼0.909) for the SERPINB1 serum level, and 0.626 (95% CI: 0.524∼0.728) for the NRG4 serum level. The threshold was 108.05 mg/L, 8.75 ng/mL, and 96.25 ng/mL of AFM, SERPINB1, and NRG4. Moreover, the combined ROC of AFM, SERPINB1, and NRG4 serum levels showed higher sensitivity (72.41%) and specificity (85.00%) for the diagnosis of GDM (AUC = 0.839; 95% CI: 0.764∼0.913). In GDM patients, the Pearson analysis revealed a significant correlation between AFM and SERPINB1 (r = 0.776), AFM and NRG4 (r = −0.799), as well as SERPINB1 and NRG4 (r = −0.783). Moreover, AFM and SERPINB1 serum concentrations in GDM patients were positively related to insulin levels, fasting glucose levels, and HOMA-IR values. However, the SERPINB1 serum level was negatively correlated with serum insulin and glucose levels and HOMA-IR. Conclusion Abnormal serum levels of NRG4, AFM, and SERPINB1, as highly sensitive diagnostic tools, are closely related to insulin resistance in GDM patients.