Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of Estrogen Treatment On ESR1+ and ESR1- Cells In ER+ Breast Cancer: Insights From Single-Cell Analysis of Patient-Derived Xenograft Models

Background: Estrogen typically promotes the progression of hormone-dependent breast cancer through activation of estrogen receptor (ER)-α encoded by ESR1. While estrogen-induced tumor suppression in ER+ breast cancer has been clinically observed as an unexpected outcome of aromatase inhibitor (AI)-resistance, the molecular mechanisms have not yet been fully defined. Characterization of estrogen regulation in two ER+ breast cancer patient-derived xenograft (PDX) models with opposite responses to estrogen offered us an unprecedented opportunity to assess how 17β-estradiol (E2) modulates ER+ cancer.Methods: We established two PDX breast cancer models in mice using ER+ tumors from patients that responded (SC31) or were suppressed (GS3) by exogenous estrogen. In vivo tumor promotion or suppression by estrogen were confirmed through experiments by implanting E2 pellets in mice carrying SC31 or GS3, and then single-cell analysis was performed.Results: E2 promoted SC31 tumor growth but suppressed growth of GS3 in vivo. The E2-mediated suppression of GS3 involves ERα, which was wild-type and not amplified. Single-cell RNA sequencing analysis showed that E2 treatment induced cell cycle promotion in SC31, while E2 induced cell cycle arrest in GS3. However, E2 treatment upregulated the expression of estrogen-regulated genes in both tumors. These gene-expression changes by E2 occurred in both ESR1+ cells and ESR1– cells within the same tumor, demonstrating for the first time the influence of estrogen on ESR1– cells in ER+ breast tumors. E2 also upregulated a tumor suppressor gene, IL24, only in GS3, and lower levels of IL24 were linked to estrogen independence, after three rounds of intermittent E2 treatment. More IL24+ cells were ESR1+ and in G1 phase than IL24– cells. Hallmark apoptosis gene sets were upregulated and the hallmark G2M checkpoint gene set was downregulated in IL24+ cells after E2 treatment.Conclusions: Our study has revealed the effects of estrogen treatment on both ESR1+ and ESR1– cells in ER+ tumors, but not all ER+ cancers respond the same manner to estrogen. SC31 is a tumor that is stimulated by E2, while GS3 is suppressed by E2 via cell cycle arrest. Our results indicate a potential role of IL24 in estrogen-suppressive tumors.
Business intelligence and firm performance: a moderated-mediated model

ABSTRACT This study examines the mediating role of decision-making speed on the causal chain linking business intelligence and firm performance, as well as the contextual role of people-BI tools fit on the causal link between business intelligence and decision-making speed. To achieve this goal, we examine the proposed moderated-mediated model using a random sample of 236 valid responses in various Jordanian industries. These data were analyzed using a partial least squares structural equation modeling technique. According to the findings, business intelligence facilitates and enhances greater decision-making speed; decision-making speed fosters higher firm performance; and decision-making speed mediates the causal relationship between business intelligence and firm performance. Finally, people-BI tools fit attenuated the causal relationship between business intelligence and decision-making speed, in that the relationship became weaker when people-BI tools fit is higher. Results are discussed in terms of the relevant literature and practical implications for managers in the industry.
Solving the sample size problem for resource selection functions

Sample size sufficiency is a critical consideration for estimating resource selection functions (RSFs) from GPS‐based animal telemetry. Cited thresholds for sufficiency include a number of captured animals M≥30 and as many relocations per animal N as possible. These thresholds render many RSF‐based studies misleading if large sample sizes were truly insufficient, or unpublishable if small sample sizes were sufficient but failed to meet reviewer expectations. We provide the first comprehensive solution for RSF sample size by deriving closed‐form mathematical expressions for the number of animals M and the number of relocations per animal N required for model outputs to a given degree of precision. The sample sizes needed depend on just 3 biologically meaningful quantities: habitat selection strength, variation in individual selection and a novel measure of landscape complexity, which we define rigorously. The mathematical expressions are calculable for any environmental dataset at any spatial scale and are applicable to any study involving resource selection (including sessile organisms). We validate our analytical solutions using globally relevant empirical data including 5,678,623 GPS locations from 511 animals from 10 species (omnivores, carnivores and herbivores living in boreal, temperate and tropical forests, montane woodlands, swamps and Arctic tundra). Our analytic expressions show that the required M and N must decline with increasing selection strength and increasing landscape complexity, and this decline is insensitive to the definition of availability used in the analysis. Our results demonstrate that the most biologically relevant effects on the utilization distribution (i.e. those landscape conditions with the greatest absolute magnitude of resource selection) can often be estimated with much fewer than M=30 animals. We identify several critical steps in implementing these equations, including (a) a priori selection of expected model coefficients and (b) regular sampling of background (pseudoabsence) data within a given definition of availability. We discuss possible methods to identify a priori expectations for habitat selection coefficients, effects of scale on RSF estimation and caveats for rare species applications. We argue that these equations should be a mandatory component for all future RSF studies.
Impact of Production Inputs and Timing on Crackness of Rice in Northern Ghana

Under rain-fed conditions, perfumed rice production in Northern Ghana is associated with high paddy cracking during milling. In this study, 4 perfumed rice varieties, 6 staggered planting times, 6 staggered harvesting cycles, and staggered storage duration from harvest to six months of storage were used in a randomized complete block design to identify the best combination of factors that are associated with low cracking in rice production. The experiment was laid out in a randomized complete block design with three geographically distinct locations serving as replicates. Grain moisture and paddy crackness were determined. The results indicated a mixed factorial interaction for all measured variables. Early planting, early harvesting, and short storage duration reduced paddy cracking compared to late treatments ( P < 0.05 ). For all treatment combinations, milling within two weeks after harvesting was associated with lower cracking as long as the harvesting cycle did not exceed the fourth cycle. After the second month of storage, percentage cracking was high, approaching 90% in most cases.
Transmission Comparison for Cooperative Robotic Applications

The development of powered assistive devices that integrate exoskeletal motors and muscle activation for gait restoration benefits from actuators with low backdrive torque. Such an approach enables motors to assist as needed while maximizing the joint torque muscles, contributing to movement, and facilitating ballistic motions instead of overcoming passive dynamics. Two electromechanical actuators were developed to determine the effect of two candidate transmission implementations for an exoskeletal joint. To differentiate the transmission effects, the devices utilized the same motor and similar gearing. One actuator included a commercially available harmonic drive transmission while the other incorporated a custom designed two-stage planetary transmission. Passive resistance and mechanical efficiency were determined based on isometric torque and passive resistance. The planetary-based actuator outperformed the harmonic-based actuator in all tests and would be more suitable for hybrid exoskeletons.
Implementation of Non-Destructive Electrical Condition Monitoring Techniques on Low-Voltage Nuclear Cables: I. Irradiation Aging of EPR/CSPE Cables

In a nuclear power plant environment, low-voltage cables experience different stresses during their service life which challenge their integrity. A non-destructive and reliable condition monitoring technique is desired to determine the state of these low-voltage cables during service and for the life extension of nuclear power plants. Hence, in this research work, an EPR/CSPE-based low-voltage cable was exposed to γ-rays for five different absorbed doses. The overall behavior of the cable under stress was characterized by frequency and time domain electrical measurements (capacitance, tan δ, and Extended Voltage Response) and a mechanical measurement (elongation at break). Significant variations in the electrical parameters were observed, as was a decline in the elongation at break values. A strong correlation between the measurement methods was observed, showing the ability of the electrical methods to be adopted as a non-destructive condition monitoring technique.
Conditions for the Growth of the “Silver Economy” in the Context of Sustainable Development Goals: Peculiarities of Russia

A “silver economy” can drive economic growth. The key condition is effective demand, determined by the number of financially secure members of the elderly population. The aim of this study is to assess the conditions of the Russian “silver economy”, identify the constraints on its growth, and develop recommendations for their elimination to achieve Sustainable Development Goals. We applied multivariate statistical analysis methods. The absolute and structural numbers of elderly people in Russia were found to not differ much from those in the developed countries of Europe. Their financial support exhibits several important features. A state pension plays a key role in financing the needs of Russian pensioners. Income from labor occupies the second position. Asset-based reallocations are negligible. Public programs will improve the standard of living of current pensioners. For future pensioners, it is important to increase the income received from asset-based reallocations. Russian pensioners were found to have had a negative experience of participation in the funded pension system. It is necessary to stimulate the voluntary participation of future pensioners in the funded pension system and to change the regulation of the investment activities of pension managers. In general, the formation of conditions favorable to the “silver economy” may turn it into a driver of sustainable development in Russia.
Machine Translation Vs. Multilingual Dictionaries Assessing Two Strategies for the Topic Modeling of Multilingual Text Collections

ABSTRACT The goal of this paper is to evaluate two methods for the topic modeling of multilingual document collections: (1) machine translation (MT), and (2) the coding of semantic concepts using a multilingual dictionary (MD) prior to topic modeling. We empirically assess the consequences of these approaches based on both a quantitative comparison of models and a qualitative validation of each method’s potentials and weaknesses. Our case study uses two text collections (of tweets and news articles) in three languages (English, Hebrew, Arabic), covering the ongoing local conflicts between Israeli authorities, settlers, and Palestinian Bedouins in the West Bank. We find that both methods produce a large share of equivalent topics, especially in the context of fairly homogenous news discourse, yet show limited but systematic differences when applied to highly heterogenous social media discourse. While the MD model delivers a more nuanced picture of conflict-related topics, it misses several more peripheral topics, especially those unrelated to the dictionary’s focus, which are picked up by the MT model. Our study is a first step toward instrument validation, indicating that both methods yield valid, comparable results, while method-specific differences remain.
Effect of Integrated Nutrient Management on Yield Attributes and Yield of Black Gram Cv. Pu-31

Background: The main pulses grown in India are chickpea, arhar, lentil, black gram, mung bean, moth bean, horse gram, pea, khesari, cowpea, etc. Black gram is fourth major pulse crop in India, that contributes 13 and 10 per cent of total area and production respectively. This is annual plant that attains 30-100 cm height and its stem is covered with brown hairs and much branched from the base. The pods are long and cylindrical being 5-6 cm length and 4-10 seed in pods. The seeds are generally black, very dark brown. Methods: The field experiment was conducted in kharif-2019 at research farm of Tirhut College of Agriculture Dholi, to study the effect of integrated nutrient management on growth, yield parameters and the yield of black gram cv-PU-31, by the use different sources of nutrient in a integrated manner such as three level of fertilizer i.e. F1-75, F2-100 and F3-125% RDF and two levels of organic manure i.e. M1-control and M2-FYM @ 5 t ha-1 and three levels of biofertilizer i.e., B1-rhizobium, B2-nutrient mobilizer, B3-rhizobium+ nutrient mobilizer. The treatments were allocated in randomized block design (factorial) and replicated thrice. Result: The results revealed that F3 produced taller plants, more dry matter, crop growth rate (CGR) yield attributes resulting higher yield of grain and straw (10.78, 22.61 q ha-1 respectively) which was statistically at par with plant height, dry matter, crop growth rate, yield attributes and yield of grain, straw and highest harvest index (10.73, 22.20 q ha-1 and 32.58% respectively) to F2. Among addition of organic manure significantly maximum plant height, dry matter and crop growth rate and yield attributes resulting maximum yield of grain, straw and harvest index (11.2, 22.79 q ha-1 and 33.31% respectively) was found in M2 over M1. In biofertilizer treatments, B3 recorded higher plant height, dry matter and crop growth rate, yield attributes resulting in significantly higher yield of grain, straw and harvest index (10.26, 21.90 q ha-1 and 31.92% respectively) over B1 and B2.
How to respond effectively to COVID-19? Reports based on environmental changes in Wuhan and Shanghai

The δ -variant of COVID-19 is blowing to globle economy, hummen’s life and health. The infection rates of δ -variant is twice of the original variants. It is putting the world in a harsher state. Lockdown policy is still powerful in stopping spread of virus. This paper aims to evaluate the lockdown impact on NO 2 , SO 2 , O 3 , PM 2.5 and PM 10 in Wuhan, which reported the first OVID-19 infection case. We analyzed data of the whole periods including before, during and after blokade. Generally, lockdown has significant decreasing effects on all the 5 pollutants except for surface ozone. The reasons for the pollutants’ changes are discussed from the aspects including social policy, people's living habits and Chinese character. To assess the extensive impact of lockdown policy on urban environment, we also studied the same pollutants in Shanghai, which is one of the biggest and central city in China and almost locates at the same latitude with Wuhan. Better results were obtained compared with those of Wuhan with all the pollutants decreasing their concentration and a better air quality. This effects even last after the blockade. This is mainly because Shanghainese have formed more prudent living habits and attach more importance to environmental protection during the lockdown period. Althgough COVID-19 brings bad effect on globle socio-economy and humen’s health, people get chance to rethink the value of life: We should sustainablely develop and pursuing spiritual instead of excessive material enjoyment. It can sustain a healthy living enviroment.
Dispersal patterns in Yunnan snub-nosed monkeys

Abstract Sex-biased dispersal is common in group-living animals. Due to differences in local demographic and environmental factors, sex-biased dispersal presents many irregular patterns. In this study, a habituated, individually identified Yunnan snub-nosed monkey Rhinopithecus bieti group was observed over 9 years; 192 dispersal events, including 97 male dispersal events (25 natal dispersal and 72 secondary dispersal) and 95 female dispersal events (34 natal dispersal and 61 secondary dispersal) were observed. Males and females showed different dispersal paths, dispersal ages, and dispersal patterns. Females had 2 dispersal paths, whereas males had 4 paths. In terms of age of dispersal, the male age of natal dispersal was younger than for females. Males prefer single dispersal, whereas females prefer parallel dispersal. Our study indicates that the dispersal pattern of R. bieti should be classified as a bisexual dispersal pattern. The differences in dispersal path, average age at dispersal, and dispersal path pattern indicate that Yunnan snub-nosed monkeys may still retain a loose matrilineal social system.
Brown Carbon Fuel and Emission Source Attributions to Global Snow Darkening Effect

Snow and ice albedo reduction due to deposition of absorbing particles (snow darkening effect [SDE]) warms the Earth system and is largely attributed to black carbon (BC) and dust. Absorbing organic aerosol (BrC) also contributes to SDE but has received less attention due to uncertainty and challenges in model representation. This work incorporates the SDE of absorbing organic aerosol (BrC) from biomass burning and biofuel sources into the Snow Ice and Aerosol Radiative (SNICAR) model within a variant of the Community Earth System Model. Additionally, 12 different emission regions of BrC and BC from biomass burning and biofuel sources are tagged to quantify the relative contribution to global and regional SDE. BrC global SDE (0.021–0.056 Wm−2 over land area and 0.0061–0.016 Wm−2 over global area) is larger than other model estimates, corresponding to 37%–98% of the SDE from BC. When compared to observations, BrC simulations have a range in median bias (−2.5% to +21%), with better agreement in the simulations that include BrC photochemical bleaching. The largest relative contributions to global BrC SDE are traced to Northern Asia (23%–31%), Southeast Asia (16%–21%), and South Africa (13%–17%). Transport from Southeast Asia contributes nearly half of the regional BrC SDE in Antarctica (0.084–0.3 Wm−2), which is the largest regional input to global BrC SDE. Lower latitude BrC SDE is correlated with snowmelt, in‐snow BrC concentrations, and snow cover fraction, while polar BrC SDE is correlated with surface insolation and snowmelt. This indicates the importance of in‐snow processes and snow feedbacks on modeled BrC SDE.
Ferroelectret energy harvesting with 3D‐printed air‐spaced cantilever design

Vibrational energy harvesters of air-spaced cantilever design, utilizing ferro-electrets as the electroactive element, are a very recent concept. Such systems, based on the 𝑑 31 piezoelectric effect are further studied with harvesters of improved design, partially implemented by additive manufacturing. The focus of the present work is on the dependence of frequency response, resonance frequency, and generated power on the distance of the ferroelectret from the cantilever beam and on the pre-stressing of the ferroelectret. Experimental data are compared with both analytical and numerical evaluations. It is found that the power generated can be increased by one to two orders of magnitude by proper choice of distance. A suitable pre-stress yields another increase of power by a factor of 2 to 10 and linearizes the response.Thus, normalized output powers more than 1000 μ W referred to an acceleration of 9.81 ms 2 and a seismic mass of 3.5 g, can be achieved, which significantly exceeds previous results of cantilever-based energy harvesters.
Effect of Organizational Culture during Crises on adoption of virtual classrooms: An extension of UTAUT model

ABSTRACT This study aims to understand the impact of organizational culture in the context of obligatory adoption of a virtual classroom (VC) during the COVID pandemic. The academic crisis created by the pandemic resulted in obligatory adoption of VCs, without being mandated by top management. Organizational culture was tested by this crisis, and thus created a unique opportunity to examine adoption. This research examines Organizational Culture during Crises (OCC) as an antecedent to the Unified Theory of Acceptance and Use of Technology (UTAUT) model to evaluate the factors that determine the intention to adopt a virtual classroom across multiple disciplines by the faculty of a reputed Indian university. Data collected from a sample of 353 respondents was analyzed to test the research model using Structural Equation Modeling (SEM). The findings of the study reveal that OCC plays a positive and significant role in determining the intention of faculties to adopt a virtual classroom. We also found that OCC also significantly influences performance expectancy, effort expectancy, facilitating conditions and social influence. The results imply proper framing of policies by top management of Higher Education Institutions (HEI) for the smooth adoption of virtual classrooms by faculty when confronted by crises.
Does Sand Beach Nourishment Enhance the Dispersion of Non-Indigenous Species?—The Case of the Common Moon Crab, Matuta victor (Fabricius, 1781), in the Southeastern Mediterranean

Sand beach nourishment (BN) is one of the commonest “soft solutions” for shore protection and restoration. Yet it may have ecological consequences. Can this practice enhance the introduction and dispersal of non-indigenous species (NIS)? There has been little research on the impacts of nourishment on NIS, especially in the southeastern Mediterranean, a region considered most affected by invading biota. However, so far only one study referred to the possible interaction between BN and the success of invading species. It reports increasing numbers and densities of the aggressive, omnivorous Indo-Pacific moon crab, Matuta victor (Fabricius, 1781) in Haifa Bay (northern Israel) between 2011 and 2017. This research suggests a possible role of anthropogenic disturbance in the outbreak of M. victor and blames the Israel Ministry of Environmental Protection for authorizing a (rather small scale) BN in Haifa Bay in 2011 as an alleged cause for this outbreak. Circumstantial indirect evidence is not sufficient to establish the role of nourishment in promoting the establishment and dispersal of NIS. There are plenty of examples of successful settlement and rapid and large-scale distribution of NIS (including another member of the genus Matuta), especially in the eastern Mediterranean, without any BN in the region. Furthermore, the location where the M. victor specimens were sampled was exposed to more prevailing and frequent anthropogenic marine stressors than BN, such as eutrophication, pollution, fishing activities and particularly port construction. To firmly establish an assumed role of nourishment in the invasion of NIS, assessments must be based on solid and orderly planned scientific research to be designed well before the beginning of any BN. It is suggested that direct communication between environmental regulators and scientists is crucial for improving both scientific research and environmental management policies.