Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Different Ambient Temperatures on Reproductive Outcome and Stress Level of Lactating Females in Two Mouse Strains

Simple Summary The optimal temperature for laboratory mice has been under discussion for some time. Current standard temperature is 20 °C–24 °C but it has been suggested to elevate the standard to 30 °C, which is the thermoneutral zone for mice. In this study, the effect of different cage temperatures (20 °C, 25 °C, 30 °C) on reproduction and stress hormone metabolite excretion was evaluated in lactating females of two commonly used mouse strains. Pup loss was higher, and weights of mothers and pups were reduced at 30 °C compared to the lower temperatures. In addition, pups showed increased tail length at weaning under the high temperature (30 °C). There was no difference in stress hormone metabolite excretion in mice between temperature groups. We could not show any detrimental effects of the lower or higher cage temperature on stress hormone metabolite excretion, but found decreased reproductive outcome under the higher temperature. Abstract Ambient temperature is an important non-biotic environmental factor influencing immunological and oncological parameters in laboratory mice. It is under discussion which temperature is more appropriate and whether the commonly used room temperature in rodent facilities of about 21 °C represents a chronic cold stress or the 30 °C of the thermoneutral zone constitutes heat stress for the animals. In this study, we selected the physiological challenging period of lactation to investigate the influence of a cage temperature of 20 °C, 25 °C, and 30 °C, respectively, on reproductive performance and stress hormone levels in two frequently used mouse strains. We found that B6D2F1 hybrid mothers weaned more pups compared to C57BL/6N mothers, and that the number of weaned pups was reduced when mothers of both strains were kept at 30 °C. Furthermore, at 30 °C, mothers and pups showed reduced body weight at weaning and offspring had longer tails. Despite pronounced temperature effects on reproductive parameters, we did not find any temperature effects on adrenocortical activity in breeding and control mice. Independent of the ambient temperature, however, we found that females raising pups showed elevated levels of faecal corticosterone metabolites (FCMs) compared to controls. Peak levels of stress hormone metabolites were measured around birth and during the third week of lactation. Our results provide no evidence of an advantage for keeping lactating mice in ambient temperatures near the thermoneutral zone. In contrast, we found that a 30 °C cage temperature during lactation reduced body mass in females and their offspring and declined female reproductive performance.
Mask Detection Using Convolutional Neural Network Algorithm

The World Health Organizations and the Ministry of Health of the Republic of Indonesia have required the use of masks to suppress the spread of COVID-19. WHO provides guidance on how to use a good mask to cover the mouth and nose. This study aims to detect the correct use of masks using the Convolutional Neural Network. CNN is a popular Deep Learning algorithm for image data classification problems. The Mask Usage Detector is built with the help of a pre-trained MobileNetV2 model with an architecture that supports media that has minimum computations. This study will also compare the performance of three optimization methods from CNN, namely Adam, SGD, and RMSprop in detecting the use of masks. Performance will be seen from the test results by analyzing the values of accuracy, precision, and recall. The dataset used is in the form of image data of 2,029 images for 2 categories, namely "masked" and "unmasked". A total of 1,623 images were used as training data and 406 images for test data. Based on the testing process, the accuracy of each optimization is 93.84% with Adam optimization, 84.48% with SGD optimization, and 93.10% with RMSprop optimization. With the proposed model, this study obtains the performance results of the three CNN optimizations, and it is concluded that adam's optimization gives better performance results than the other two optimizations.
Efficacy of Approved Versus Unapproved Vaccines for Severe Acute Respiratory Syndrome Coronavirus 2 Infection in Randomized Blinded Clinical Trials

Abstract Background Five severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines are approved in North America and/or Europe: Pfizer/BioNTech, Moderna, Janssen, Oxford-AstraZeneca, and Novavax. Other vaccines have been developed, including Sinopharm, SinoVac, QazVac, Covaxin, Soberana, Zifivax, Medicago, Clover, and Cansino, but they are not approved in high-income countries. This meta-analysis compared the efficacy of US Food and Drug Administration (FDA)/European Medicines Agency (EMA)-approved and -unapproved vaccines in randomized clinical trials (RCTs). Methods A systematic review of trial registries identified RCTs of SARS-CoV-2 vaccines. Risk of bias was assessed using the Cochrane tool (RoB 2). In the meta-analysis, relative risks of symptomatic infection and severe disease were compared for each vaccine versus placebo, using Cochrane-Mantel Haenszel Tests (random effects method). Results Twenty-two RCTs were identified and 1 was excluded for high-risk of bias. Ten RCTs evaluated 5 approved vaccines and 11 RCTs evaluated 9 unapproved vaccines. In the meta-analysis, prevention of symptomatic infection was 84% (95% confidence interval [CI], 68%–92%) for approved vaccines versus 72% (95% CI, 66%–77%) for unapproved vaccines, with no significant difference between vaccine types (P = .12). Prevention of severe SARS-CoV-2 infection was 94% (95% CI, 75%–98%) for approved vaccines versus 86% (95% CI, 76%–92%) for unapproved vaccines (P = .33). The risk of serious adverse events was similar between vaccine types (P = .12). Conclusions This meta-analysis of 21 RCTs in 390 459 participants showed no significant difference in efficacy between the FDA/EMA-approved and -unapproved vaccines for symptomatic or severe infection. Differences in study design, endpoint definitions, variants, and infection prevalence may have influenced results. New patent-free vaccines could lower costs of worldwide SARS-CoV-2 vaccination campaigns significantly.
Impact of Plug-in Electric Vehicles Integrated into Power Distribution System Based on Voltage-Dependent Power Flow Analysis

This paper proposes the impact of plug-in electric vehicles (PEVs) integrated into a power distribution system based on voltage-dependent control. The gasolinegate situation has many people turning to electric vehicles as a more environmentally friendly option, especially in smart community areas. The advantage of PEVs is modern vehicles that can use several types of fuel cells and batteries as energy sources. The proposed PEVs model was developed as a static load model in power distribution systems under balanced load conditions. The power flow analysis was determined by using certain parameters of the proposed electrical network. The main research objective was to determine the voltage magnitude profiles, the load voltage deviation, and total power losses of the electrical power system by using the new proposed methodology. Furthermore, it investigated the effects of the constant power load, the constant current load, the constant impedance load, and the plug-in electric vehicles load model. The IEEE 33 bus system was selected as the test system. The proposed methodology assigned the balanced load types in a steady state condition and used the new methodology to solve the power flow problem. The simulation results showed that increasing the plug-in electric vehicles load had an impact on the grids when compared with the other four load types. The lowest increased value for the plug-in electric vehicles load had an effect on the load voltage deviation (0.062), the total active power loss (120 kW) and the total reactive power loss (80 kVar), respectively. Therefore, this study verified that the load of PEVs can affect the electrical power system according to the time charging and charger position. Therefore, future work could examine the difference caused when PEVs are attached to the electrical power system by means of the conventional or complex load type.
Effects of real-time simulation feedback on design for visual comfort

Building performance simulations and models of human visual comfort allow us to predict daylight-caused glare using digital building models and climate data. Unfortunately, the simulation tools currently available cannot produce results fast enough for interactive use during design ideation. We developed software with the ability to predict visual discomfort in real time. However, we know little about how users react to simulation feedback presented in real time. In our study, 40 subjects with backgrounds in building design and technology completed two shading design exercises to balance glare reduction and annual daylight availability in two open office arrangements using two simulation tools with differing system response times. Subjects with access to real-time simulation feedback tested more design options, reported higher confidence in design performance and increased satisfaction with the design task, and produced better-performing final designs with respect to spatial daylight autonomy and enhanced simplified daylight glare probability.
Effect of Czech Hop Varieties on Aroma of Dry-Hopped Lager Beer

The hoppy aroma in beer is characterized by an overall pleasant profile. The impacts of five Czech hop cultivars, Rubin, Saaz, Vital, Harmonie, and Kazbek, were tested on the hop aroma of the resulting beers, compared with a control beer sample, which was hopped with a commercial hop extract during wort boiling. GC-MS analysis was used for the identification and quantification of aroma-active compounds in the hops and beer. Dry hopping was successful in terms of improving the hoppy aroma in beer. Odorants such as β-myrcene, linalool, geraniol, β-citronellol, humulene epoxide I, and 2-methylbutyl-2-methylpropanoate were found at higher concentrations than the control in all dry-hopped beers. To quantify the success of dry hopping, the transfer rates of hop odorants were calculated. Those of linalool, geraniol and humulene epoxide I were adequate, whereas the transfer rates of polar compounds, e.g., β-myrcene, were relatively low, mostly due to their polarity. Changes in hop oil constituents were clearly notable, with the generation of β-citronellol, the release of other terpene alcohols from their glycosides or oxidation of α-humulene. Yeast metabolism also played an important role in these changes.
Changes in the Academic Motivation and Satisfaction with Studies of Pre-Service Physical Education Teachers during the Study Period

The study describes and explores how the academic motivation and satisfaction of pre-service physical education (PE) teachers change during the study period and how autonomous and controlled academic motivation is related to student satisfaction with academic studies. For data collection, questionnaire surveys were used. The Academic Motivation Scale (AMS) and The Course Experience Questionnaire (CEQ) were applied. Repeated cross-sectional studies design at regular intervals was also used in this research. Data were collected four times during PE students’ study period in four Lithuanian universities. The samples were distributed according to the study year: first-year n = 84, second-year n = 72, third-year n = 59, fourth-year n = 44 students. The analysis of the data showed that students’ academic motivation and satisfaction with studies changed during the study period. Both autonomous and controlled academic motivation indicators have relationships of similar strength with the same subscales of satisfaction with studies. The research results obtained provide a better understanding of the change in students’ academic motivation regarding students’ perceptions of the academic environment revealed through student study satisfaction.
Chromatographic analysis (LC-MS and GC-MS), antioxidant activity, antibacterial activity, total phenol, and total flavonoid determination of Cleome arabica L. growing in Jordan

ABSTRACT The pivotal Cleome arabica L. species belongs to the Cleome genus with fascinating secondary metabolites consisting of main classes of phenols, flavonoids, and glucosinolate derivatives. The current study was carried out on three crude extracts of Cleome arabica L. plant of Jordanian origin. In terms of the valuable resources for natural new drug development. The phytochemical contents, antioxidants, and antibacterial activities, in addition to the oil composition of this species were identified. Forty-six compounds representing 96.98% of the total composition were detected from the essential oil obtained by hydrodistillation (0.06%). The oil composition was dominated by nitrogen-sulfur-containing compounds (35.66%), esters (19.64%), and oxygenated sesquiterpenes (11.92%). Butanol extract had significantly the best scavenging activities of DPPH (P < .0001), ABTS (P < .0001), and hydroxyl radicals (P < .0001) while the Aq.MeOH extract exhibits the highest flavonoid content (173.5 ± 0.002 mg Quercetin/g dry extract) and had significantly the most ferrous chelating effect (P = .0011). Also, most of the tested extracts showed antibacterial activities against bacterial strains. Our findings exhibited that the Cleome arabica L. plant from Jordan origin might be a good candidate as potential biologically compounds that could be used as a source of natural antioxidants and antibacterial agents.
Yifei sanjie Pills Alleviate Chemotherapy-Related Fatigue by Reducing Skeletal Muscle Injury and Inhibiting Tumor Growth in Lung Cancer Mice

Chemotherapy-related fatigue (CRF), one of the most severe adverse effects observed in cancer patients, has been theoretically related to oxidative stress, and antioxidant treatment might be one of the most valuable therapeutic approaches. However, there are still few effective pharmacological therapies. Yifei Sanjie pills (YFSJ), a classical formula used to treat lung cancer as complementary and alternative medicine, have been proved to alleviate CRF of lung cancer patients in clinical practices. However, the underlying mechanisms have not been clarified. In this study, our data showed that YFSJ alleviated CRF presented as reversing the decline of swimming time and locomotor activity induced by cisplatin (DDP). Moreover, YFSJ significantly reduces the accidence of mitophagy and mitochondrial damage and reduces apoptosis in skeletal muscle tissues caused by DDP. It probably works by decreasing the oxidative stress, inhibiting the activation of the AMPK/mTOR pathway, decreasing protein expression levels of Beclin1 and other autophagy-related proteins, and attenuating the activation of Cytochrome c (cyto. C), Cleaved Caspase-9 (c-Casp 9), and other apoptosis-related proteins. Furthermore, YFSJ enhanced DDP sensitivity by specifically promoting oxidative stress and activating apoptosis and autophagy in the tumor tissues of mice. It was also found that YFSJ reduced the loss of body weight caused by DDP, reversed the ascent of serum concentrations of alanine aminotransferase (ALT), aminotransferase (AST), and creatinine (CREA), increased the spleen index, and prolonged the survival time of mice. Taken together, these results revealed that YFSJ could alleviate CRF by reducing mitophagy and apoptosis induced by oxidative stress in skeletal muscle; these results also displayed the effects of YFSJ on enhancing chemotherapy sensitivity, improving quality of life, and prolonging survival time in lung cancer mice received DDP chemotherapy.
Factors Affecting the Transition from Paper to Digital Data Collection for Mobile Tuberculosis Active Case Finding in Low Internet Access Settings in Pakistan

Between September 2020 and March 2021, Mercy Corps piloted hybrid digital (CAPI) and paper-based (PAPI) data collection as part of its tuberculosis (TB) active case finding strategy. Data were collected using CAPI and PAPI at 140 TB chest camps in low Internet access areas of Punjab and Khyber Pakhtunkhwa provinces in Pakistan. PAPI data collection was performed primarily during the camp and entered using a tailor-performed CAPI tool after camps. To assess the feasibility of this hybrid approach, quality of digital records were measured against the paper “gold standard”, and user acceptance was evaluated through focus group discussions. Completeness of digital data varied by indicator, van screening team, and month of implementation: chest camp attendees and pulmonary TB cases showed the highest CAPI/PAPI completeness ratios (1.01 and 0.96 respectively), and among them, all forms of TB diagnosis and treatment initiation were lowest (0.63 and 0.64 respectively). Vans entering CAPI data with high levels of completeness generally did so for all indicators, and significant differences in mean indicator completeness rates between PAPI and CAPI were observed between vans. User feedback suggested that although the CAPI tool required practice to gain proficiency, the technology was appreciated and will be better perceived once double entry in CAPI and PAPI can transition to CAPI only. CAPI data collection enables data to be entered in a more timely fashion in low-Internet-access settings, which will enable more rapid, evidence-based program steering. The current system in which double data entry is conducted to ensure data quality is an added burden for staff with many activities. Transitioning to a fully digital data collection system for TB case finding in low-Internet-access settings requires substantial investments in M&E support, shifts in data reporting accountability, and technology to link records of patients who pass through separate data collection stages during chest camp events.
Phylogenomic analysis of 997 nuclear genes reveals the need for extensive generic re-delimitation in Caesalpinioideae (Leguminosae)

﻿Abstract Subfamily Caesalpinioideae with ca. 4,600 species in 152 genera is the second-largest subfamily of legumes (Leguminosae) and forms an ecologically and economically important group of trees, shrubs and lianas with a pantropical distribution. Despite major advances in the last few decades towards aligning genera with clades across Caesalpinioideae, generic delimitation remains in a state of considerable flux, especially across the mimosoid clade. We test the monophyly of genera across Caesalpinioideae via phylogenomic analysis of 997 nuclear genes sequenced via targeted enrichment (Hybseq) for 420 species and 147 of the 152 genera currently recognised in the subfamily. We show that 22 genera are non-monophyletic or nested in other genera and that non-monophyly is concentrated in the mimosoid clade where ca. 25% of the 90 genera are found to be non-monophyletic. We suggest two main reasons for this pervasive generic non-monophyly: (i) extensive morphological homoplasy that we document here for a handful of important traits and, particularly, the repeated evolution of distinctive fruit types that were historically emphasised in delimiting genera and (ii) this is an artefact of the lack of pantropical taxonomic syntheses and sampling in previous phylogenies and the consequent failure to identify clades that span the Old World and New World or conversely amphi-Atlantic genera that are non-monophyletic, both of which are critical for delimiting genera across this large pantropical clade. Finally, we discuss taxon delimitation in the phylogenomic era and especially how assessing patterns of gene tree conflict can provide additional insights into generic delimitation. This new phylogenomic framework provides the foundations for a series of papers reclassifying genera that are presented here in Advances in Legume Systematics (ALS) 14 Part 1, for establishing a new higher-level phylogenetic tribal and clade-based classification of Caesalpinioideae that is the focus of ALS14 Part 2 and for downstream analyses of evolutionary diversification and biogeography of this important group of legumes which are presented elsewhere.
Effect of pre-operative communication using anaesthesia information sheet on pre-operative anxiety of patients undergoing elective surgery—A randomised controlled study

Background and Aims: Pre-operative anxiety can affect psychological and physiological parameters during the intra-operative period. Pharmacological measures used to reduce pre-operative anxiety have their associated adverse effects. Pre-operative anaesthesia education is one of the non-pharmacological tools to reduce anxiety, but very limited literature is available in the Indian scenario. Hence, this study was designed to evaluate the effect of pre-operative counselling of patients using anaesthesia information sheet on pre-operative anxiety of patients who underwent elective surgery as the primary outcome. Secondary objectives were to assess the pre-operative anxiety for surgery, correlation of demographic data with pre-operative anxiety, and the common causes responsible for pre-operative anxiety. Methods: Total 110 patients were randomly allocated into two groups. Group-A was counselled using anaesthesia information sheet and in Group-B, conventional counselling was done during pre-anaesthesia check-up. Anxiety scores for anaesthesia and surgery were measured using visual analogue scale for anxiety (VAS-A). VAS-A score was compared pre- and post-intervention.Effect of intervention was assessed by comparing reduction in VAS-A score in both groups with paired t-test. Data were analysed using STATA (14.2) version. Results: The mean reduction in VAS-A for anaesthesia was more in Group-A compared to Group-B (16.6 ± 6.9 vs. 4.4 ± 5.8; P < 0.001). The mean reduction in VAS-A for surgery was more in Group- A compared to Group- B (14.6 ± 7.8 vs. 4.8 ± 7.3; P < 0.001). Conclusion: Pre-operative counselling using anaesthesia information sheet is helpful in reducing pre-operative anxiety more efficiently. Further trials are required to assess transferability in other settings.
Finding a Low-Diameter and Low-Weight k-Connected Subgraph

Low-diameter, low-weight subgraphs have useful applications in networks. The problem is how to find them. Given a weighted undirected k-connected graph G = (V,E), let diam(G) denote the diameter of G and let w(G) be the sum of the weights of the edges in G. In this context, the problem is to find a k-connected spanning subgraph G = (V,E) of G such that the diameter and the weight of G are minimized simultaneously. Since this problem is NP-hard, it is unlikely that there is a polynomial algorithm for it. We present an approximate solution with a performance guarantee. That is, we find a k-connected spanning subgraph G in polynomial time such that diam(G) ≤ αdiam(G) and w(G) ≤ βw(G) for any fixed α > 1, where G is a minimum k-connected spanning subgraph of G and β is a constant depending on α and k.
A prototype of a wearable health device for mobile telemonitoring applications

The paper describes the prototype implementation of a wearable health device (WHD) that could be easily utilized by users for mobile health status monitoring applications, and its preliminary assessment. This WHD is composed of: (i) an undershirt, embedding carbon-black (CB) dry electrodes for the harvesting of the desired biosignals, (ii) a custom-made hardware electronic unit for electrical biosignals conditioning and acquisition, and (iii) a software component which handles the biosignals data acquisition and transmission by means of Bluetooth low energy (BLE) protocol. Preliminary tests have been carried out, and to this aim, the six-lead electrocardiogram (ECG) and respiration wave (RW) signals acquired from the developed WHD are reported. Furthermore, an early assessment by using the biosignals generated by a patient-simulator device is presented.