Miracle-dz/UniFAR-FTUs huggingface dataset:
Locating protein-coding sequences under selection for additional , overlapping functions in 29 mammalian genomes

Locating protein-coding sequences under selection for additional, overlapping functions in 29 mammalian genomes Michael F. Lin, Pouya Kheradpour, Stefan Washietl, Brian J. Parker, Jakob S. Pedersen, and Manolis Kellis Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA; Department of Biology, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark; The Broad Institute, Cambridge, Massachusetts 02139, USA AU2
Orthogonal Multi-frequency Fusion Based Image Orthogonal Multi-frequency Fusion Based Image Reconstruction and Diagnosis in Diffuse Optical Tomography Reconstruction and Diagnosis in Diffuse Optical Tomography

—Identifying breast cancer lesions with a portable diffuse optical tomography (DOT) device improves early detection, while avoiding otherwise unnecessarily invasive, ionizing, and expensive modalities such as CT, as well as enabling first line of care treatment efficacy. Critical to this capability is not just identification of lesions, but rather the complex problem of discriminating between malignant and benign lesions. To accurately capture the highly heterogeneous tissue of a cancer lesion embedded in healthy breast tissue with non-invasive DOT, multiple frequencies can be combined to optimize signal penetration and reduce sensitivity to noise. However, these frequency responses can overlap, capture common information, and correlate, potentially confounding reconstruction and downstream end tasks. We show that an orthogonal fusion loss of multi-frequency DOT can improve reconstruction. More importantly, the orthogonal fusion leads to more accurate end-to-end identification of malignant versus benign lesions, illustrating its regularization properties on the multi-frequency input space. With the line-of-care deployment of portable DOT probes requiring a severely constrained computational budget, we show that our raw-to-task model, for direct prediction of end task from signal, significantly reduces computational complexity without sacrificing accuracy, enabling lower latency and higher, real-time throughput in medical settings.
CO 2 Emission Efﬁciency Analysis of Rail-Water Intermodal Transport: A Novel Network DEA Model

: How to evaluate the carbon emission efﬁciency of multimodal transport is an important issue of public concern, and this article attempts to solve it with a network data envelopment analysis (DEA) model. DEA is a method to evaluate the efﬁciency of homogeneous decision-making units (DMUs). First, this article studies the efﬁciency decomposition and efﬁciency aggregation of the general network structure for DEA model. In efﬁciency decomposition, the relationship between system efﬁciency and division efﬁciency is discussed; whereas in efﬁciency aggregation, the division tendency brought about by the deﬁnition of weights is analyzed. Then, a reasonable and single compromise solution to division efﬁciency scores is investigated while the system efﬁciency remains optimal. Finally, a two-stage network DEA model of rail-water intermodal transport is established with carbon dioxide (CO 2 ) emissions as an undesirable output. Based on this model, the rail-water intermodal transport efﬁciencies of 14 ports in China in 2015 are evaluated by the methods of efﬁciency decomposition, efﬁciency aggregation, and non-cooperation. The results show that Rizhao Port, Tangshan Port, Nanjing Port, and Zhuhai Port have set an example to other ports. Qinhuangdao Port, Ningbo-Zhoushan Port, Guangzhou Port, and Beiliang Port need to improve the efﬁciency of railway transportation. Beibu Gulf port, Zhanjiang Port, Dalian Port, Lianyungang Port, Yantai Port, and Yichang Port should optimize their intermodal system. In addition, Yantai Port and Yichang Port urgently need to improve the port efﬁciency in low-carbon operation. The network DEA model constructed in this article can be further applied to the efﬁciency evaluation of multi-link supply chains, and the empirical results can provide a reference for the efﬁciency evaluation of ports in China.
Work organization and burnout among nursing professional the pandemic: a mixed-methods study

Objective: this study aims to assess the repercussions of the COVID-19 pandemic on work organization and burnout among nursing professionals in a hospital in the southern region of Brazil. Method: a sequential explanatory mixed-methods design was employed across five adult inpatient units from August to November 2020. In the quantitative phase, a sample of 78 participants completed the Maslach Burnout Inventory
Causal Model on Work Engagement of the Agriculture Sector Employees in Davao Region

This quantitative study aimed to examine the best fit causal model of work engagement for the employees in the agriculture sector in their authentic leadership, strategic management, and workplace/ethics in Davao Region, Philippines. Using descriptive-correlation and Structural Equation Modeling, the researcher selected 400 agriculture staffs from the region through stratified quota sampling. Results reveal high levels of genuine leadership, strategic management, workplace ethics and a very high level of employees work engagement. A significant relationship has been identified between all latent exogenous variables and work engagement; all latent exogenous variables significantly correlated to work engagement. The best fit model 4 conveyed a comprehensive new concept that employee work engagement was principally based on only two indicators namely vigor and absorption, as influenced by authentic leadership with the following indicators self-awareness and balance processing, strategic management was strongly supported by one indicator strategic planning, and work place ethics was strongly supported by three indicators namely self-reliance, morality/ethics and the hardwork of agriculture staff. Structural Model 4, which depicted the direct causal relationship of authentic leadership, strategic management and workplace ethics to the work engagement of employees in the agriculture sector, was described as the most suitable and parsimonious model.
Inside the Mentors’ Experience: Using Poetic Representation to Inside the Mentors’ Experience: Using Poetic Representation to Examine the Tensions of Mentoring Pre-Service Teachers. Examine the Tensions of Mentoring Pre-Service Teachers.

: The supervision and mentoring of pre-service teachers during professional experience is complex work that requires a range of skills and capacities. Professional development for this work has traditionally been limited, however, and mentor teachers report experiencing tensions in their work stemming from their roles as both supporter and assessor of pre-service teachers. Despite the central role that mentors play in professional experience, their voices are underrepresented in the literature . In this paper, I draw on interview data to examine teachers’ experiences as mentors and the tensions they experience. I use poetic representation to illuminate the tensions and emotions of mentoring and present seven poems that provide insight into these tensions. I argue that poetic representation of interview data provides an opportunity to connect with the experience of being a mentor and offer suggestions for teacher educators to work collaboratively with mentor teachers to explore the dimensions of their role.
CHOP-dependent DR5 induction and ubiquitin/proteasome-mediated c-FLIP downregulation contribute to enhancement of TRAIL-induced apoptosis by dimethyl-celecoxib in human non-small cell lung cancer cells

2,5-dimethyl-celecoxib (DMC) is a derivative of celecoxib, a cyclooxygenase-2 (COX-2) inhibitor with anticancer activity in both preclinical studies and clinical practice, and lacks COX-2-inhibitory activity. Several preclinical studies have demonstrated that DMC has better apoptosis-inducing activity than celecoxib, albeit with undefined mechanisms, and exhibits anticancer activity in animal models. In this study, we primarily investigated DMC’s cooperative effect with tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) on induction of apoptosis and the underlying mechanisms in human non-small cell lung cancer (NSCLC) cells. We found that DMC was more potent than celecoxib in decreasing the survival and inducing apoptosis of NSCLC cells. When combined with TRAIL, DMC exerted enhanced or synergistic effects on induction of apoptosis, indicating that DMC cooperates with TRAIL to augment induction of apoptosis. To determine the underlying mechanism of the synergy between DMC and TRAIL, we have demonstrated that DMC induces a CHOP-dependent expression of DR5, a major TRAIL receptor, and reduces the levels of c-FLIP (both FLIP L and FLIP S ), key inhibitors of death receptor-mediated apoptosis, by facilitating c-FLIP degradation through a ubiquitin /proteasome-dependent mechanism. Importantly, enforced expression of c-FLIP or silencing of DR5 expression using DR5 small interfering RNA abrogated the enhanced effects on induction of apoptosis by the combination of DMC and TRAIL, indicating that both DR5 upregulation and c-FLIP reduction contribute to cooperative induction of apoptosis by the combination of DMC and TRAIL. Collectively, we conclude that DMC sensitizes human NSCLC cells to TRAIL-induced apoptosis via induction of DR5 and downregulation of c-FLIP.
Eﬀectiveness of Non Stress Test on Fetal, Neonatal and Maternal Outcomes to Prevent Chronic Consequences in Delivery Health Centers

Background: Non stress test (NST) is the most common and the ﬁrst recommended test to assess the health of the fetus especially in high risk pregnancies in most studies. This study aimed to determine the eﬀectiveness of non-stress test on fetal, neonatal and maternal outcomes to prevent chronic consequences in delivery health centers of West Azerbaijan. Methods: This was a classic case-control study conducted on 984 subjects in West Azerbaijan. The method of sampling was census duringthelasttwoyears(2014-2015). Of 984subjects,500subjectshadundergoneNST(casegroup)and484subjectshadnotbeen undergoneNST(controlgroup). Datawerecollectedusingrecordsof mothersandchecklistincludingvariablesrelatedtomaternal characteristics such as fetus characteristics, and the results of the NST. The data were analyzed using SPSS version 24 software. A P value of less than 0.05 was considered signiﬁcant. Results: Inthecasegroup,71.6% hadapositiveorreactiveresponseand28.4% hadnon-reactivetestresponse. Therateof fetaldeath in centers without NST was 2.18% and fetal deaths were higher in centers without NST and all deaths in centers with NST occurred when this test was non-reactive (P < 0.05). There was a statistically signiﬁcant relationship between NST with exposure to meco-niumandfetaldistress. Themaincauseof NSTwastheprematureruptureof themembranes(PROM)(41.7%). Post-term,meconium-stained amniotic ﬂuid, decreased fetal movement (DFM) and post-term were other common causes. Meanwhile, 24.4% of mothers had abnormal movement tests, and this result was more non-reactive NST compared with reactive NST (P = 0.001). Conclusions: Using non stress test to observe the abnormal results of this test, midwives working in centers can quickly decide on appropriatereferralsof motherstohospitalsanddeliverycenters,insuchawaythatthisreferralpreventsmothersfromdeveloping adverse fetal and neonatal outcomes.
Variable-speed operation and pressure pulsations in a Francis turbine and a pump-turbine

The paper presents result from model measurements of the efficiency and pressure pulsation intensities for two low-specific-speed hydraulic turbines operated at variable speed, namely, one splitter-bladed Francis turbine marked with “F99” and one reversible pump-turbine marked with “RPT” and operated in a turbine mode. Both turbines have similar specific speeds, i.e. nQH(F99)=21.88 and nQH(RPT)=27.26, and for their best efficiency points, both have similar guide-vane opening angles but different operating parameters (i.e., speed factor and discharge factor). Pressure pulsation measurements were conducted for a wide operating range and at specific locations in the (1) vaneless space and (2) draft tube. Histogram method was used to obtain the peak-to-peak amplitudes of the fluctuating pressure for all operating points used to construct the performance hill-charts of the turbines. To the best of the authors’ knowledge, very little or no effort has been made so far to explore the amplitudes of pressure pulsations in the turbine when operated at rotational speeds specifically optimized for maximization of the hydraulic efficiency. Results show that operation of Francis turbines at optimized rotational speeds can increase the hydraulic efficiency of the turbine, while decreasing or maintaining the same pressure pulsation amplitudes in the entire operational range. Also, it was found that the level of efficiency gain and reduction of the pressure pulsations is greatly dependent on the hydraulic design of the turbine and should be investigated individually for each case.
Development of STEM-Based Physics E-Module with Self-Regulated Learning to Train Students’ Creative Thinking Skills

Twenty-first century skills are recognized as a competency standard that students need to possess to support the demands of success both in work and in life in the future, especially in learning. In line with this, learning that can accommodate 21st-century skills is learning that has a balance between the scientific approach and the use of technology. One of the efforts that can be made is to develop teaching materials in the form of electronic modules that integrate Science, Technology, Engineering, and Mathematics (STEM) to train creative thinking skills that are also adjusted to the applicable school curriculum. However, most of the teaching materials, especially the modules that are used in general, are only printed modules. Based on these problems, we need electronic modules (e-modules) that direct students to have 21st-century skills and the dimensions that exist in the independent learning curriculum. This study aims to develop an e-module based on STEM and self-regulated learning about global warming topics to train students’ creative thinking skills. This type of research involves adapting a 4-D development model. Which consist of defining, designing, developing, and disseminating. The data were gathered through questionnaires and tests. The questionnaire instrument consists of an expert validation questionnaire of three experts. Meanwhile, the test instrument consisted of a pre-test and a post-test, which were tested on 32 students in class X majoring in science. The N-gain score for creative thinking skills is 0.60 in the medium category. Based on the results of this study, the development of a STEM-based physics e-module with self-regulated learning on the global warming topic can train students' creative thinking skills.
Astrocytes integrators of arousal state and sensory context

The integration of external information with the internal state of the body is central to the survival of virtually every multicellular organism. However, a complete picture of the mechanisms that govern this process is lacking. In this opinion article, we synthesize evidence demonstrating that astrocytes sense the momentary arousal state – through neuromodulator release – as well as the sensory inputs – through local synaptic activity – and respond to them with changes in calcium (Ca 2+ ) signaling. We hypothesize that astrocytes integrate sensory signals with the internal state and that this process is necessary to secure optimal behavior. Finally, we argue that dysfunctional astrocytic Ca 2+ signaling could be an underlying factor in disorders characterized by disrupted sensory processing
Digital Commons @ East Tennessee State University Digital Commons @ East Tennessee State University

We previously demonstrated endocytosis of KCa2.3 is caveolin-1-, dynamin II-and Rab5-dependent. KCa2.3 then enters Rab35/EPI64C-and RME-1-containing recycling endosomes and is returned to the plasma membrane (PM). Herein, we report on the mechanism by which KCa2.3 is inserted into the PM during recycling and following exit from the Golgi. We demonstrate KCa2.3 colocalizes with SNAP-23 and Syntaxin-4 in the PM of HEK and endothelial cells by confocal immunofluorescence microscopy. We further show KCa2.3 can be co-immunoprecipitated with SNAP-23 and Syntaxin-4. Overexpression of either Syntaxin-4 or SNAP-23 increased PM expression of KCa2.3, whereas shRNA-mediated knockdown of these SNARE proteins significantly decreased PM KCa2.3 expression, as assessed by cell surface biotinylation. Whole-cell patch clamp studies confirmed knock-down of SNAP-23 significantly decreased the apamin sensitive, KCa2.3 current. Using standard biotinylation/stripping methods, we demonstrate shRNA mediated knockdown of SNAP-23 inhibits recycling of KCa2.3
Current state of traffic pollution in Bangladesh and metropolitan Dhaka

Limited resources, invested for the development of transport facilities, such as infrastructure and vehicles, coupled with the rapid rise in transport demand, existence of a huge number of non-motorized vehicles on roads, lack of application of adequate and proper traffic management schemes are producing severe transport problems in almost all the urban areas of Bangladesh. Worsening situation of traffic congestion in the streets and sufferings of the inhabitants from vehicle emissions demand extensive research in this field. However, no detailed study concerning traffic congestion and pollution problems for urban areas of Bangladesh has yet been done. Therefore, it has become increasingly important to examine the present state of the problem. This research is a preliminary evaluation of the current situation of traffic pollution problem in Bangladesh. The daily total emissions of NO{sub x}, HC, CO, PM, and SO{sub x} are estimated using the daily fuel consumption and total traffic flows in Dhaka city. Estimated daily emissions are 42, 39, 314, 14, and 42 t/d for NO{sub x}, HC, CO, PM, and SO{sub x}, respectively. The emissions estimated using two different methods revealed good correlation. Daily average concentration of NO{sub x} (NO{sub 2}, NO) were measured at 30 street locations inmore » Dhaka city during September and November, 1996. The results showed extremely high concentrations of NO{sub 2} and NO in these locations. « less
Low-Dose Occupational Exposure to Ionizing Radiation and Cardiovascular Effects: A Narrative Review

Historically, non-cancer diseases have not been considered a health risk following low-dose exposure to ionizing radiation. However, it is now well known that high-dose ionizing radiation causes cardiovascular disease, and emerging epidemiological evidence suggests an excess risk of non-cancer diseases even following exposure to lower doses of ionizing radiation than previously thought. In fact, the evidence is strongest for cardiovascular disease (CVD). The aim of this review was to report the most representative studies and data on the risk of CVD from low-dose radiation in people with occupational exposure. We reported the results of 27 articles selected from a database search of 1151 studies. The results show a complex evidence landscape on the relationship between radiation exposure and cardiovascular disease. In general, published papers show a positive association between ionizing radiation exposure and dermal microcirculation damage, ischemic heart disease, and cerebrovascular disease. Overall, they highlight the need for comprehensive and detailed research to clarify this relationship. Due to limited statistical power, the dose–risk relationship below 0.5 Gy is inconclusive, but if this relationship is found to have no threshold, it could have a significant impact on current estimates of health risks at low doses.
Impact of Influencer Trustworthiness and Financial Literacy on Herding Behavior with Risk Perception Mediating Variables of Indonesian Millennial Investors

The ease of investment resulted in soaring number of millennial investors in Indonesia. Most investors in Indonesia are a beginner and do not know how to invest properly. Ignorance of investment encourages investors to find information and looking for role model then commonly leads to herding behaviour. This habit contradicts with traditional finance theory where investors supposed to invest rationally and avoid risk. This study will further explore the relationship between trustworthiness of financial influencers and financial literacy on herding behaviours with risk perception as mediating variables in millennial investors in Indonesia. Based on path analysis resulting the variable significantly influence each other directly or indirectly through mediating variable. Direct effect of trustworthiness financial influencer positively related with the herding behaviour, but the financial literacy negatively related with the herding behaviour. Indirectly Financial literacy level increased to increase risk perception and trustworthiness financial influencer vice versa. The decrease of risk perception leads millennial investor to herd and the increase of risk perception make investor more careful to make investment. There are still 33% of other factors influenced outside this study, for example gender, age, income, occupation and many other. Prior study has not examined the impact of a millennial follower’s trust on influencers to herding behaviours using risk perception as a mediating variable.
THE INFLUENCE OF THE APOEε4 ALLELE ON PRO-INFLAMMATORY CYTOKINE LEVELS IN THE CEREBROSPINAL FLUID OF PATIENTS WITH ALZHEIMER’S DISEASE

Single nucleotide polymorphisms (SNPs) rs429358 and rs7412, the most commonly investigated variants in the apolipoprotein E gene (APOE) are crucial for APOEε4 carrier status determination. However, their association with inflammatory cytokine levels in patients with dementia due to Alzheimer’s disease (AD) remains unclear. This study aimed to investigate the influence of the APOEε4 allele on pro-inflammatory cytokine levels in the cerebrospinal fluid of patients with AD dementia. The research was conducted on 36 patients with probable dementia due to AD. APOE rs429358 and rs7412 were analyzed using the Real-Time PCR method with allele-specific TaqMan assays, followed by the analysis of APOEε4 allele carrier status. Patients carrying at least one APOEε4 allele were assigned as APOEε4+. Core biomarkers (Aβ42/40 ratio, t-Tau, p-Tau levels), as well as pro-inflammatory cytokine (Tumor necrosis factor-a (TNF-a) and interleukin-1b (IL-1b)) levels, were determined in the patient’s cerebrospinal fluid (CSF) using Enzyme-linked Immunosorbent Assay (ELISA). Seventeen patients (47.22%) were assigned as APOEε4+. CSF TNF-α levels were significantly higher in APOEε4+ AD dementia patients in comparison to APOEε4- patients (p<0.001), while no significant differences in IL-1b levels between these two groups were obtained. Correlation analysis showed that TNF-α negatively correlated with the Aβ42/40 ratio (p=0.033), while positive correlation with t-Tau and p-Tau was observed (p=0.001, p=0.015, respectively). These findings highlight the potential significance of TNF-α in the context of APOEε4 positivity and its implications in AD pathology.