The Influence of Proximal versus Distal Strength on Balance Control in Athletes versus Non-Athletes

Please see the pdf version of the abstract

New Automated Free Weight Device for Weightlifting and Resistance Training

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Analysing the impact of post-pandemic factors on entrepreneurial intentions: The enduring significance of self-efficacy in student planned behaviour.

After the pandemic, there has still been an increased interest in examining university students’ entrepreneurial goals. In this study, we looked at the practicality and validity of using self-efficacy to broaden the theory of planned behavior (TPB) in assessing students’ intent to be entrepreneurs. Additionally, we looked at how students’ geographic location and gender affected their plans to start their businesses. Following the epidemic, we analyzed data obtained from a number of university students in both urban and rural regions of India using PLS-SEM and ANN methods. Our study confirmed the pivotal role that university students’ self-efficacy had in their entrepreneurial goals. The results of multi-group analysis (MGA) reported the insignificant moderating role of gender for the students’ entrepreneurial intentions. Still, they found a statistically significant difference in their said behavior control for entrepreneurial intentions regarding location. Based on their perceived behavioral control, the findings also suggest that youths in rural areas had lower entrepreneurial inclinations than urban students. The study indicated that considering the importance of student self-efficacy, universities should focus on improving students’ skill sets and problem-solving mindsets while constructing education courses

Herbicide-Resistant Palmer amaranth (Amaranthus palmeri S. Wats.) in the United States — Mechanisms of Resistance, Impact, and Management

Palmer amaranth, a dioecious summer annual species, is one of the most troublesome weeds in the agronomic crop production systems in the United States. In the last two decades, continuous reliance on herbicide(s) with the same mode of action as the sole weed management strategy has resulted in the evolution of herbicide-resistant (HR) weeds, including Palmer amaranth. By 2015, Palmer amaranth biotypes had been confirmed resistant to acetolactate synthase (ALS)-inhibitors, dinitroanilines, glyphosate, hydroxyphenylpyruvate dioxygenase (HPPD)-inhibitors, and triazine herbicides in some parts of the United States along with multiple HR biotypes. Mechanisms of herbicide-resistance in Palmer amaranth are discussed in this chapter. Preplant herbicide options including glufosinate, 2,4-D, and dicamba provide excellent Palmer amaranth control; however, their application is limited before planting crops, which is often not possible due to unfavorable weather conditions. Agricultural biotechnology companies are developing new multiple HR crops that will allow the post-emergence application of respective herbicides for management of HR weeds, including Palmer amaranth. For the effective in-crop management of Palmer amaranth, and to reduce the potential for the evolution of other HR weeds, growers should apply herbicides with different modes of action in tank-mixture and should also incorporate cultural practices including inversion tillage and cover crops along with herbicide programs

BTI aware thermal management for reliable DVFS designs

In this paper, we show that dynamic voltage and frequency scaling (DVFS) designs, together with stress-induced BTI variability, exhibit high temperature-induced BTI variability, depending on their workload and operating modes. We show that the impact of temperature-induced variability on circuit lifetime can be higher than that due to stress and exceed 50% over the value estimated considering the circuit average temperature. In order to account for these variabilities in lifetime estimation at design time, we propose a simulation framework for the BTI degradation analysis of DVFS designs accounting for workload and actual temperature profiles. A profile is generated considering statistically probable workload and thermal management constraints by means of the HotSpot tool. Using the proposed framework we explore the expected lifetime of the ethernet circuit from the IWLS05 benchmark suite, synthesized with a 32nm CMOS technology library, for various thermal management constraints. We show that margin-based design can underestimate or overestimate lifetime of DVFS designs by up to 67.8% and 61.9%, respectively. Therefore, the proposed framework allows designers to select appropriately the dynamic thermal management constraints in order to tradeoff long-term reliability (lifetime) and performance with upto 35.8% and 26.3% higher accuracy, respectively, against a temperature-variability unaware BTI analysis

Students’ Perceptions of Justice: Application of Sanctions, Guilt, and Responsibility in Campus Sexual Assault Cases

Despite growing attention to adjudication of campus sexual assault cases, little is known how students perceive “justice” for such cases. The present study examined whether victim, perpetrator, and assault characteristics influenced students’ perceptions of: whether a sanctionable violation occurred; the type of sanction to be applied; perceived severity of the sanction; proportion of guilt attributable to the victim and perpetrator; and level of responsibility of the victim and perpetrator. Fourteen factors pertaining to potential negative evaluation of rape victims were derived; thus, a non-factorial vignette survey design focusing only on each main effect was employed. 846 college students responded to one of four versions of a randomly distributed survey each containing eight vignettes that varied to represent all levels of the 14 factors. Students were not consistent in their application of sanctions or assignment of guilt or responsibility for the sexual assault vignettes, but rather were influenced in their ratings for 10 of the 14 factors. Students responded differentially to levels of the following factors: psychological impact on the victim, victim’s medical consequences, reason for the victim’s incapacitation leading to assault, consistency of victim’s and perpetrator’s accounts of the assault, sexual orientation of the victim, type of forced sex, number of perpetrators involved, fraternity membership of the perpetrator, gender of the perpetrator, and victim’s initial display of sexual interest in the perpetrator. Cases consistent with rape myths appear to influence students’ perceptions of justice. Findings are discussed in terms of implications for research and prevention programming

The Methods to Improve Quality of Service by Accounting Secure Parameters

A solution to the problem of ensuring quality of service, providing a greater number of services with higher efficiency taking into account network security is proposed. In this paper, experiments were conducted to analyze the effect of self-similarity and attacks on the quality of service parameters. Method of buffering and control of channel capacity and calculating of routing cost method in the network, which take into account the parameters of traffic multifractality and the probability of detecting attacks in telecommunications networks were proposed. The both proposed methods accounting the given restrictions on the delay time and the number of lost packets for every type quality of service traffic. During simulation the parameters of transmitted traffic (self-similarity, intensity) and the parameters of network (current channel load, node buffer size) were changed and the maximum allowable load of network was determined. The results of analysis show that occurrence of overload when transmitting traffic over a switched channel associated with multifractal traffic characteristics and presence of attack. It was shown that proposed methods can reduce the lost data and improve the efficiency of network resources.Comment: 10 pages, 1 figure, 1 equation, 1 table. arXiv admin note: text overlap with arXiv:1904.0520

Second-Hand Smoke in a University Campus: Attitudes and Perceptions of Faculty, Staff and Students

Purpose: To examine the attitudes and perceptions of faculty, staff and students concerning tobacco policies at a university campus in a tobacco producing state. Methods: A questionnaire was administered to faculty, staff and students to assess knowledge, attitudes and beliefs related to smoking and exposure to second-hand smoke on campus. A 3-wave e-mailing was used to send the questionnaire. Results: A total of 2,914 individuals responded to the questionnaire. Majority (60%) of the participants believed a smoke free policy would be a positive move and could possibly improve the quality of life for the campus community, while not negatively affecting student enrollment status. Conclusion: Implementing a smoke free policy in university campuses in North America could be acceptable to faculty, staff and students and is unlikely to reduce students enrolment. Our findings have the potential to support efforts to implement smoke free policies on university campuses in North America

Structure of the TPR Domain of AIP: Lack of Client Protein Interaction with the C-Terminal alpha-7 Helix of the TPR Domain of AIP Is Sufficient for Pituitary Adenoma Predisposition

PMCID: PMC3534021This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

An Examination of How Robots, Artificial Intelligence, and Machinery Learning are Being Applied in the Medical and Healthcare Industries

Machine learning techniques are associated with diagnostics systems to apply methods that enable computers to link patient data to earlier data and give instructions to correct the disease.In recent years, researchers have promoted two or three data mining based techniques for disease diagnosis. Each function in machine learning and data mining techniques is built through characteristics and features.As a part of prognosis, information must be separated from patient data and information retrieved in stored databases and comparative records. For any disease, early diagnosis or diagnosis will determine the chances of a correct recovery. Disease prediction therefore becomes a more important task to support physicians in delivering efficient treatment to people.In health care, data is being created and disposed of at an extraordinary rate compared to the health care sectors. Data for medical profiling is often found in a variety of sources such as electronic health records, lab and imaging systems, doctor notes and accounts. The medical records database will then contain irrelevant data sourced from multiple sources. Preprocessing data and eliminating irrelevant data then immediately opening it up for predictive analysis is one of the significant difficulties of the health care industry